example_id
int64 0
10k
| metadata
stringlengths 679
723
| classification_prompt
stringlengths 7.66k
18.5k
| classification_completion
stringclasses 14
values | classification_text
stringlengths 7.68k
18.6k
| improved_signature
stringlengths 7.3k
18.8k
| improved_model_weights
stringlengths 1.77k
5.04k
| training_metrics
stringlengths 1.46k
2.92k
|
|---|---|---|---|---|---|---|---|
100
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.48, "improved_accuracy": 0.9, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3299, "learning_rate": 0.06432301658833305, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
mean: [-2.289186, 1.900600, 1.779324, -2.227573, 0.028148, -3.004655, -0.516287]
std: [1.350777, 2.066684, 2.215462, 1.824769, 1.212067, 2.258683, 1.275802]
pca: [[-0.123470, 0.612425, -0.189346, 0.371059, -0.065925, 0.656682, -0.024000, 0.000000, 0.000000, 0.000000], [0.477435, 0.294421, -0.157942, -0.395527, 0.129129, 0.031592, 0.697362, 0.000000, 0.000000, 0.000000], [0.525624, 0.257344, 0.030279, -0.290435, 0.315386, 0.038241, -0.686508, 0.000000, 0.000000, 0.000000], [-0.362661, 0.451042, -0.510924, -0.269348, -0.219975, -0.511400, -0.146722, 0.000000, 0.000000, 0.000000], [0.206644, 0.294505, 0.131713, 0.668958, 0.320415, -0.539687, 0.108553, 0.000000, 0.000000, 0.000000], [-0.500337, 0.325265, 0.607533, -0.317065, 0.408173, 0.001084, 0.087357, 0.000000, 0.000000, 0.000000], [-0.236575, -0.275783, -0.539257, 0.030629, 0.749567, 0.116251, 0.029576, 0.000000, 0.000000, 0.000000]]
fourier: [[20.189493, 21.276993, 22.435737, 23.211588, 206.026720], [33.717005, 34.158241, 35.050321, 36.545413, 171.054003], [36.746024, 37.594553, 38.524762, 39.967414, 160.139191], [28.740141, 28.798737, 34.848294, 34.952262, 200.481618], [17.604679, 17.968567, 21.898211, 23.047303, 25.872752], [36.865542, 38.195594, 43.978144, 47.211814, 270.418880], [19.609397, 20.508212, 22.224111, 22.866430, 46.465791]]
### 2
mean: [-1.384030, 1.768031, -1.480182, -0.644882, -0.805758, 1.131510, -1.879289]
std: [1.333675, 2.040277, 1.347167, 1.381092, 1.884171, 1.177090, 1.303106]
pca: [[-0.329484, -0.360954, 0.556526, 0.449065, -0.419187, -0.015785, -0.271670, 0.000000, 0.000000, 0.000000], [0.507644, 0.026681, -0.333990, 0.187532, -0.320718, -0.489906, -0.501997, 0.000000, 0.000000, 0.000000], [-0.333308, -0.316892, -0.531183, -0.370321, -0.456275, 0.352630, -0.191463, 0.000000, 0.000000, 0.000000], [-0.343010, 0.231634, -0.237245, 0.200604, -0.402360, -0.456943, 0.601226, 0.000000, 0.000000, 0.000000], [-0.464612, 0.732618, -0.017880, 0.034422, 0.063267, 0.044334, -0.489831, 0.000000, 0.000000, 0.000000], [0.292043, 0.236480, -0.198865, 0.587850, -0.194117, 0.641064, 0.158205, 0.000000, 0.000000, 0.000000], [-0.322234, -0.349677, -0.447685, 0.488917, 0.556470, -0.116918, -0.105361, 0.000000, 0.000000, 0.000000]]
fourier: [[20.639321, 22.040310, 23.817415, 23.912177, 124.562748], [33.794101, 33.945688, 34.121554, 35.878637, 159.122810], [21.056772, 21.973460, 22.164158, 24.003338, 133.216415], [22.571513, 23.524686, 23.990304, 24.100449, 58.039355], [28.585215, 33.324853, 33.634742, 33.958606, 72.518263], [18.809337, 19.293958, 20.157033, 20.350781, 101.835901], [20.482622, 21.127397, 21.665877, 23.451399, 169.136047]]
### 4
mean: [-0.514672, -1.503669, 0.012168, -0.931401, 0.880500, -0.304149, -0.698511]
std: [0.214471, 1.316519, 1.094042, 0.255001, 0.950659, 1.031713, 0.172317]
pca: [[0.095834, -0.086455, 0.333121, -0.243774, -0.482048, 0.761955, -0.000816, 0.000000, 0.000000, 0.000000], [0.591260, -0.452886, -0.304173, -0.441688, -0.072611, -0.179646, 0.346627, 0.000000, 0.000000, 0.000000], [0.477154, 0.694480, -0.096759, -0.297727, 0.341955, 0.181952, -0.204885, 0.000000, 0.000000, 0.000000], [0.092552, -0.346140, -0.486065, 0.398637, 0.396768, 0.539962, -0.165731, 0.000000, 0.000000, 0.000000], [-0.426641, 0.336062, -0.516382, -0.150487, -0.109832, 0.200565, 0.602871, 0.000000, 0.000000, 0.000000], [0.465769, 0.265284, -0.048172, 0.677849, -0.428484, -0.061365, 0.252032, 0.000000, 0.000000, 0.000000], [0.077602, -0.044617, 0.530958, 0.125729, 0.540682, 0.135996, 0.619218, 0.000000, 0.000000, 0.000000]]
fourier: [[3.479368, 3.565386, 3.648082, 3.695230, 46.320508], [21.844788, 21.881621, 22.144634, 23.213634, 135.330225], [15.447070, 15.560567, 19.059202, 20.118429, 20.669007], [4.376091, 4.571176, 4.920910, 4.948566, 83.826101], [15.757112, 15.876594, 15.988814, 16.601567, 79.245014], [16.009839, 18.070306, 19.010293, 19.018033, 27.373385], [2.675717, 2.971242, 3.011304, 3.058610, 62.865969]]
### 6
mean: [-0.238828, 0.301007, 0.071186, 0.406002, 0.147771, 0.091294, 0.651564]
std: [0.587657, 0.494439, 0.944310, 0.840491, 0.357990, 0.487042, 0.852911]
pca: [[0.316345, -0.473491, 0.518638, 0.061080, 0.562833, -0.160914, 0.245648, 0.000000, 0.000000, 0.000000], [-0.275812, -0.196605, -0.390538, 0.662878, 0.223492, -0.460271, -0.177622, 0.000000, 0.000000, 0.000000], [0.532486, 0.049700, -0.183551, 0.416053, -0.394012, -0.005626, 0.593228, 0.000000, 0.000000, 0.000000], [0.458320, 0.580018, 0.313148, 0.202394, 0.045323, -0.290265, -0.477691, 0.000000, 0.000000, 0.000000], [-0.165170, 0.556497, -0.194746, -0.246027, 0.455786, -0.304767, 0.513762, 0.000000, 0.000000, 0.000000], [0.273822, 0.103665, -0.378075, 0.175399, 0.517750, 0.672092, -0.144210, 0.000000, 0.000000, 0.000000], [-0.477488, 0.278975, 0.515631, 0.501502, -0.012853, 0.365214, 0.207972, 0.000000, 0.000000, 0.000000]]
fourier: [[9.151628, 10.129479, 10.785349, 10.906659, 21.494563], [7.735995, 7.940065, 8.334332, 9.104904, 27.090596], [14.127635, 14.583344, 15.381289, 16.725813, 17.774788], [13.245473, 13.445139, 13.687586, 14.973953, 36.540187], [5.921742, 5.950564, 5.965033, 6.203342, 13.299423], [7.636849, 7.782453, 8.216501, 8.486689, 9.088140], [12.391832, 14.536367, 15.587562, 16.144813, 58.640749]]
### 8
mean: [1.272507, -0.961613, -0.277992, 0.632756, -0.485553, -0.806209, -0.032710]
std: [1.557669, 0.335894, 0.077835, 1.062385, 0.546634, 0.211890, 0.520857]
pca: [[0.768078, -0.025910, -0.376627, 0.145975, -0.148152, -0.018495, -0.473220, 0.000000, 0.000000, 0.000000], [-0.008999, 0.801881, -0.450983, -0.281038, 0.204145, -0.096320, 0.153577, 0.000000, 0.000000, 0.000000], [0.024365, 0.142801, -0.049466, 0.893317, 0.278536, -0.173459, 0.266237, 0.000000, 0.000000, 0.000000], [0.523569, -0.086765, 0.239194, -0.228348, -0.108139, -0.426849, 0.644280, 0.000000, 0.000000, 0.000000], [0.263123, 0.282931, 0.259805, 0.102935, -0.202782, 0.812104, 0.268305, 0.000000, 0.000000, 0.000000], [-0.012349, 0.498334, 0.612054, 0.106633, -0.324774, -0.332208, -0.386897, 0.000000, 0.000000, 0.000000], [0.256652, 0.003014, 0.391148, -0.166090, 0.836959, 0.090645, -0.211709, 0.000000, 0.000000, 0.000000]]
fourier: [[24.242376, 25.101816, 27.330935, 28.822821, 114.525625], [5.073303, 6.099883, 6.612741, 7.047012, 86.545201], [1.160997, 1.197360, 1.202304, 1.269057, 25.019236], [16.367289, 16.817526, 18.813048, 19.851123, 56.948067], [8.700020, 8.866769, 8.901461, 9.805278, 43.699765], [3.244660, 3.428942, 4.147364, 4.161127, 72.558847], [8.110389, 8.129461, 8.157512, 9.145597, 9.761879]]
### 10
mean: [-1.501809]
std: [1.168743]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.012478, 18.426154, 20.817216, 21.294780, 135.162800]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
mean: [-2.289186, 1.900600, 1.779324, -2.227573, 0.028148, -3.004655, -0.516287]
std: [1.350777, 2.066684, 2.215462, 1.824769, 1.212067, 2.258683, 1.275802]
pca: [[-0.123470, 0.612425, -0.189346, 0.371059, -0.065925, 0.656682, -0.024000, 0.000000, 0.000000, 0.000000], [0.477435, 0.294421, -0.157942, -0.395527, 0.129129, 0.031592, 0.697362, 0.000000, 0.000000, 0.000000], [0.525624, 0.257344, 0.030279, -0.290435, 0.315386, 0.038241, -0.686508, 0.000000, 0.000000, 0.000000], [-0.362661, 0.451042, -0.510924, -0.269348, -0.219975, -0.511400, -0.146722, 0.000000, 0.000000, 0.000000], [0.206644, 0.294505, 0.131713, 0.668958, 0.320415, -0.539687, 0.108553, 0.000000, 0.000000, 0.000000], [-0.500337, 0.325265, 0.607533, -0.317065, 0.408173, 0.001084, 0.087357, 0.000000, 0.000000, 0.000000], [-0.236575, -0.275783, -0.539257, 0.030629, 0.749567, 0.116251, 0.029576, 0.000000, 0.000000, 0.000000]]
fourier: [[20.189493, 21.276993, 22.435737, 23.211588, 206.026720], [33.717005, 34.158241, 35.050321, 36.545413, 171.054003], [36.746024, 37.594553, 38.524762, 39.967414, 160.139191], [28.740141, 28.798737, 34.848294, 34.952262, 200.481618], [17.604679, 17.968567, 21.898211, 23.047303, 25.872752], [36.865542, 38.195594, 43.978144, 47.211814, 270.418880], [19.609397, 20.508212, 22.224111, 22.866430, 46.465791]]
### 2
mean: [-1.384030, 1.768031, -1.480182, -0.644882, -0.805758, 1.131510, -1.879289]
std: [1.333675, 2.040277, 1.347167, 1.381092, 1.884171, 1.177090, 1.303106]
pca: [[-0.329484, -0.360954, 0.556526, 0.449065, -0.419187, -0.015785, -0.271670, 0.000000, 0.000000, 0.000000], [0.507644, 0.026681, -0.333990, 0.187532, -0.320718, -0.489906, -0.501997, 0.000000, 0.000000, 0.000000], [-0.333308, -0.316892, -0.531183, -0.370321, -0.456275, 0.352630, -0.191463, 0.000000, 0.000000, 0.000000], [-0.343010, 0.231634, -0.237245, 0.200604, -0.402360, -0.456943, 0.601226, 0.000000, 0.000000, 0.000000], [-0.464612, 0.732618, -0.017880, 0.034422, 0.063267, 0.044334, -0.489831, 0.000000, 0.000000, 0.000000], [0.292043, 0.236480, -0.198865, 0.587850, -0.194117, 0.641064, 0.158205, 0.000000, 0.000000, 0.000000], [-0.322234, -0.349677, -0.447685, 0.488917, 0.556470, -0.116918, -0.105361, 0.000000, 0.000000, 0.000000]]
fourier: [[20.639321, 22.040310, 23.817415, 23.912177, 124.562748], [33.794101, 33.945688, 34.121554, 35.878637, 159.122810], [21.056772, 21.973460, 22.164158, 24.003338, 133.216415], [22.571513, 23.524686, 23.990304, 24.100449, 58.039355], [28.585215, 33.324853, 33.634742, 33.958606, 72.518263], [18.809337, 19.293958, 20.157033, 20.350781, 101.835901], [20.482622, 21.127397, 21.665877, 23.451399, 169.136047]]
### 4
mean: [-0.514672, -1.503669, 0.012168, -0.931401, 0.880500, -0.304149, -0.698511]
std: [0.214471, 1.316519, 1.094042, 0.255001, 0.950659, 1.031713, 0.172317]
pca: [[0.095834, -0.086455, 0.333121, -0.243774, -0.482048, 0.761955, -0.000816, 0.000000, 0.000000, 0.000000], [0.591260, -0.452886, -0.304173, -0.441688, -0.072611, -0.179646, 0.346627, 0.000000, 0.000000, 0.000000], [0.477154, 0.694480, -0.096759, -0.297727, 0.341955, 0.181952, -0.204885, 0.000000, 0.000000, 0.000000], [0.092552, -0.346140, -0.486065, 0.398637, 0.396768, 0.539962, -0.165731, 0.000000, 0.000000, 0.000000], [-0.426641, 0.336062, -0.516382, -0.150487, -0.109832, 0.200565, 0.602871, 0.000000, 0.000000, 0.000000], [0.465769, 0.265284, -0.048172, 0.677849, -0.428484, -0.061365, 0.252032, 0.000000, 0.000000, 0.000000], [0.077602, -0.044617, 0.530958, 0.125729, 0.540682, 0.135996, 0.619218, 0.000000, 0.000000, 0.000000]]
fourier: [[3.479368, 3.565386, 3.648082, 3.695230, 46.320508], [21.844788, 21.881621, 22.144634, 23.213634, 135.330225], [15.447070, 15.560567, 19.059202, 20.118429, 20.669007], [4.376091, 4.571176, 4.920910, 4.948566, 83.826101], [15.757112, 15.876594, 15.988814, 16.601567, 79.245014], [16.009839, 18.070306, 19.010293, 19.018033, 27.373385], [2.675717, 2.971242, 3.011304, 3.058610, 62.865969]]
### 6
mean: [-0.238828, 0.301007, 0.071186, 0.406002, 0.147771, 0.091294, 0.651564]
std: [0.587657, 0.494439, 0.944310, 0.840491, 0.357990, 0.487042, 0.852911]
pca: [[0.316345, -0.473491, 0.518638, 0.061080, 0.562833, -0.160914, 0.245648, 0.000000, 0.000000, 0.000000], [-0.275812, -0.196605, -0.390538, 0.662878, 0.223492, -0.460271, -0.177622, 0.000000, 0.000000, 0.000000], [0.532486, 0.049700, -0.183551, 0.416053, -0.394012, -0.005626, 0.593228, 0.000000, 0.000000, 0.000000], [0.458320, 0.580018, 0.313148, 0.202394, 0.045323, -0.290265, -0.477691, 0.000000, 0.000000, 0.000000], [-0.165170, 0.556497, -0.194746, -0.246027, 0.455786, -0.304767, 0.513762, 0.000000, 0.000000, 0.000000], [0.273822, 0.103665, -0.378075, 0.175399, 0.517750, 0.672092, -0.144210, 0.000000, 0.000000, 0.000000], [-0.477488, 0.278975, 0.515631, 0.501502, -0.012853, 0.365214, 0.207972, 0.000000, 0.000000, 0.000000]]
fourier: [[9.151628, 10.129479, 10.785349, 10.906659, 21.494563], [7.735995, 7.940065, 8.334332, 9.104904, 27.090596], [14.127635, 14.583344, 15.381289, 16.725813, 17.774788], [13.245473, 13.445139, 13.687586, 14.973953, 36.540187], [5.921742, 5.950564, 5.965033, 6.203342, 13.299423], [7.636849, 7.782453, 8.216501, 8.486689, 9.088140], [12.391832, 14.536367, 15.587562, 16.144813, 58.640749]]
### 8
mean: [1.272507, -0.961613, -0.277992, 0.632756, -0.485553, -0.806209, -0.032710]
std: [1.557669, 0.335894, 0.077835, 1.062385, 0.546634, 0.211890, 0.520857]
pca: [[0.768078, -0.025910, -0.376627, 0.145975, -0.148152, -0.018495, -0.473220, 0.000000, 0.000000, 0.000000], [-0.008999, 0.801881, -0.450983, -0.281038, 0.204145, -0.096320, 0.153577, 0.000000, 0.000000, 0.000000], [0.024365, 0.142801, -0.049466, 0.893317, 0.278536, -0.173459, 0.266237, 0.000000, 0.000000, 0.000000], [0.523569, -0.086765, 0.239194, -0.228348, -0.108139, -0.426849, 0.644280, 0.000000, 0.000000, 0.000000], [0.263123, 0.282931, 0.259805, 0.102935, -0.202782, 0.812104, 0.268305, 0.000000, 0.000000, 0.000000], [-0.012349, 0.498334, 0.612054, 0.106633, -0.324774, -0.332208, -0.386897, 0.000000, 0.000000, 0.000000], [0.256652, 0.003014, 0.391148, -0.166090, 0.836959, 0.090645, -0.211709, 0.000000, 0.000000, 0.000000]]
fourier: [[24.242376, 25.101816, 27.330935, 28.822821, 114.525625], [5.073303, 6.099883, 6.612741, 7.047012, 86.545201], [1.160997, 1.197360, 1.202304, 1.269057, 25.019236], [16.367289, 16.817526, 18.813048, 19.851123, 56.948067], [8.700020, 8.866769, 8.901461, 9.805278, 43.699765], [3.244660, 3.428942, 4.147364, 4.161127, 72.558847], [8.110389, 8.129461, 8.157512, 9.145597, 9.761879]]
### 10
mean: [-1.501809]
std: [1.168743]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.012478, 18.426154, 20.817216, 21.294780, 135.162800]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.038429, 0.04311, -0.056273, -0.552923, -0.298089], [0.618118, 0.64146, 0.135339, -0.027235, -0.125385], [0.741239, 0.549841, 0.174755, 0.097614, -0.207062], [-0.576224, 0.225873, -0.324192, -0.668578, 0.033495], [0.518583, -0.122943, 0.204175, -0.064405, -0.311774], [-0.624936, -0.196795, -0.43587, -0.162881, -0.430403], [-0.316302, -0.173983, -0.250601, -0.139964, 0.490012]], "network.0.bias": [-0.649017, -0.107158, -0.464035, 0.147535, -0.297034, -0.077748, 0.413645], "network.2.weight": [[-0.011327, -0.244706, -0.309024, 0.458832, -0.339002, -0.325965, -0.226984], [-0.004178, 0.39258, 0.483878, 0.252523, 0.351558, 0.194271, -0.00691], [-0.011404, -0.253128, -0.427695, -0.348895, 0.036642, 0.042984, -0.202708], [-0.315074, -0.3342, -0.287163, 0.064605, -0.089251, 0.099253, 0.168253], [-0.165092, -0.439082, -0.340265, -0.138913, -0.229568, 0.109704, 0.512343], [-0.036602, 0.148488, 0.375129, 0.437525, 0.187309, 0.181778, 0.145605], [-0.220096, -0.423431, -0.22375, -0.083143, -0.028493, 0.148351, -0.216531]], "network.2.bias": [-0.115358, -0.071597, -0.139461, 0.534637, 0.650792, -0.000439, -0.56225], "network.4.weight": [[0.374636, -0.039408, 0.107986, -0.152916, 0.09517, -0.114552, -0.043971], [-0.374552, -0.54483, -0.175603, 0.102484, 0.010584, -0.160893, -0.368461], [-0.355032, -0.307197, 0.013532, 0.72229, 0.774306, -0.033658, 0.292907], [-0.040168, -0.129279, 0.125534, 0.001522, -0.283571, -0.031472, -0.151301], [0.455665, 0.183403, -0.252793, 0.285158, -0.252722, 0.475607, 0.023592], [-0.266854, -0.193346, -0.38673, 0.357052, 0.55468, -0.336261, -0.210203], [-0.144528, 0.06611, -0.34863, -0.240111, 0.193498, -0.251282, 0.250448]], "network.4.bias": [-0.314727, -0.377672, 0.207987, -0.576987, 0.039733, 0.173734, -0.544972], "network.6.weight": [[-0.273504, -0.062315, 0.040185, 0.040651, -0.471959, 0.437025, 0.108284], [0.375549, -0.087913, -0.278113, 0.342192, 0.143042, -0.54864, 0.545649], [-0.059686, 0.213571, 0.725191, 0.031246, -0.416784, 0.460739, -0.052855], [0.2737, 0.489524, 0.665583, 0.017266, -0.124614, 0.818784, -0.28455], [-0.252453, -0.152079, 0.067257, -0.041801, 0.382139, -0.087364, -0.287022], [-0.464289, 0.160237, 0.494891, -0.134096, -0.17859, 0.114229, -0.248458], [-0.204587, -0.008076, -0.646965, -0.04774, 0.514413, -0.124577, -0.166148]], "network.6.bias": [0.042039, 0.445604, -0.008024, 0.000355, -0.195337, -0.00244, 0.520092], "network.8.weight": [[-0.309387, 0.905984, -0.222627, -0.562282, 0.072621, -0.438926, 0.835651], [0.13054, -0.12765, -0.46175, -0.284282, -0.324717, 0.247302, -0.461423], [-0.436134, -0.182853, 0.162794, -0.252732, -0.149941, 0.217975, 0.069426], [-0.108457, 0.327064, -0.367237, -0.287308, 0.195874, -0.203874, 0.642686], [-0.367203, 0.030411, -0.029862, -0.371499, 0.120399, -0.26767, 0.076226], [-0.319344, -0.612665, -0.198938, -0.077233, 0.028971, -0.182875, -0.244996], [-0.073683, -0.266549, -0.199103, -0.135356, 0.036816, -0.215209, 0.458408]], "network.8.bias": [0.750899, -0.219636, -0.16098, 0.316893, -0.269478, -0.157367, -0.07415], "network.10.weight": [[-0.751554, -0.054898, 0.009517, -0.37039, 0.102484, -0.137952, -0.1764]], "network.10.bias": [0.014246]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6994909048080444, "train_acc": 0.415, "val_loss": 0.6991400718688965, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6828534603118896, "train_acc": 0.585, "val_loss": 0.7089805603027344, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6635269224643707, "train_acc": 0.585, "val_loss": 0.696181058883667, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6296832859516144, "train_acc": 0.585, "val_loss": 0.6398522257804871, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6318658590316772, "train_acc": 0.505, "val_loss": 0.576198935508728, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5268118977546692, "train_acc": 0.505, "val_loss": 0.47845855355262756, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.422649547457695, "train_acc": 0.925, "val_loss": 0.4206741750240326, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.44287750124931335, "train_acc": 0.915, "val_loss": 0.399873822927475, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3042543977499008, "train_acc": 0.98, "val_loss": 0.35901615023612976, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.32259757816791534, "train_acc": 0.925, "val_loss": 0.3441038131713867, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3356638103723526, "train_acc": 0.895, "val_loss": 0.32653069496154785, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.299040824174881, "train_acc": 0.925, "val_loss": 0.3698723614215851, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.2677943706512451, "train_acc": 0.955, "val_loss": 0.40376076102256775, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.23313632607460022, "train_acc": 0.965, "val_loss": 0.2947936952114105, "val_acc": 0.9}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6991400718688965, "final_val_loss": 0.6398522257804871, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.576198935508728, "final_val_loss": 0.2947936952114105, "initial_val_acc": 0.48, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 5}, "improvement": 0.42000000000000004, "first_improvement_epoch": 3}}
|
101
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.38, "improved_accuracy": 0.94, "improvement": 0.5599999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4130, "learning_rate": 0.07546547592586104, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.284689,
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0.802087
],
[
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],
[
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-0.390318
],
[
0.113195,
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],
[
-1.189412,
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-0.066753,
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"network.10.weight": [
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"network.10.bias": [
1.12655
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}
## Activation Signature
### 0
mean: [0.292498, -2.496580, 0.085218, -2.866366, -0.212486]
std: [3.053644, 1.707467, 0.964769, 1.680036, 2.941486]
pca: [[0.778492, 0.396500, 0.377892, 0.052630, 0.301938, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.279303, -0.175880, 0.621714, -0.650050, 0.286293, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.131259, -0.235211, -0.233098, 0.288518, 0.888746, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.112053, -0.344377, 0.627291, 0.670443, -0.160815, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.534935, 0.798708, 0.151131, 0.204767, 0.105541, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[47.309663, 50.912149, 52.911282, 54.539982, 68.057233], [25.715377, 26.794713, 33.096351, 34.878196, 224.692187], [14.392690, 14.781575, 16.552317, 16.874075, 18.483186], [27.520185, 28.631821, 29.258520, 34.418461, 257.972919], [42.744554, 43.286325, 48.269762, 50.126290, 51.827993]]
### 2
mean: [-0.774783, 2.230092, -1.137801, 2.063408, 2.202515]
std: [0.634091, 2.991224, 0.567877, 2.886157, 2.628728]
pca: [[-0.125447, 0.179558, 0.034026, 0.795180, 0.564405, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.608224, -0.210592, -0.051740, 0.533474, -0.546299, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.088854, -0.209076, 0.970463, 0.041293, -0.069918, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.582001, -0.486185, 0.002289, -0.231106, 0.609494, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.517403, 0.802073, 0.233156, -0.167269, 0.081438, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.844230, 10.500374, 11.186244, 12.185104, 69.730463], [46.570881, 49.148608, 56.824789, 60.038244, 200.708289], [8.146014, 8.738346, 9.700943, 12.012940, 102.402050], [45.762112, 46.534573, 53.307052, 56.979766, 185.706696], [48.098827, 48.354540, 52.438562, 52.732145, 198.226373]]
### 4
mean: [-2.350022, -1.205504, -0.838388, 5.460708, 4.112160]
std: [3.281300, 1.172252, 2.090479, 7.135754, 5.752281]
pca: [[-0.327400, -0.102035, 0.479471, -0.631203, 0.504072, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.116919, 0.119843, 0.598375, 0.727722, 0.290406, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.207939, 0.583504, -0.527233, 0.073782, 0.576946, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.711922, -0.408142, -0.115272, 0.054054, 0.557116, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.573645, 0.684229, 0.347553, -0.252266, -0.135390, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[53.918648, 55.812488, 63.819623, 66.364551, 211.501957], [18.838533, 19.638117, 22.586322, 23.618876, 108.495391], [32.511489, 34.305158, 39.635200, 41.959091, 75.454954], [115.360563, 120.188435, 137.885611, 144.126221, 491.463696], [95.854740, 98.789328, 112.500673, 116.515608, 370.094330]]
### 6
mean: [-0.274212, 7.601009, 6.028326, 6.566203, 1.690523]
std: [0.160722, 10.797256, 8.857259, 9.906021, 2.912170]
pca: [[-0.003336, 0.830401, 0.137783, -0.160854, 0.515329, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.621682, 0.383701, -0.460820, -0.036851, -0.502565, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.509996, -0.111443, 0.112734, 0.751507, 0.387314, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.570373, -0.357943, 0.150713, -0.638456, 0.340899, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.167567, 0.150547, 0.856293, 0.019485, -0.464370, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.836891, 2.995576, 3.022459, 3.222231, 24.679040], [177.920001, 185.311835, 210.598584, 218.003176, 684.090878], [145.924388, 153.039290, 173.000927, 178.471339, 542.549321], [162.954751, 171.069330, 193.356309, 199.598143, 590.958266], [48.942742, 51.483593, 57.440262, 58.534091, 152.147039]]
### 8
mean: [-4.548519, 14.027874, -3.502749, -3.312302, -2.660599]
std: [5.770424, 19.641563, 4.360627, 4.126818, 3.030329]
pca: [[-0.267787, 0.467870, 0.742445, 0.339260, -0.207523, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.911531, 0.188952, 0.224802, 0.125447, 0.259107, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.202367, 0.215021, -0.372661, 0.691746, 0.543530, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.191510, -0.483159, 0.499295, -0.165763, 0.673133, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.140618, 0.682435, -0.100340, -0.602641, 0.375852, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[95.342793, 98.937804, 112.582580, 116.503948, 409.366691], [323.507868, 337.078604, 383.064884, 395.859502, 1262.508669], [71.807363, 74.710988, 85.027778, 87.982628, 315.247377], [67.938214, 70.865851, 80.424166, 83.053277, 298.107200], [50.134386, 51.983329, 59.176310, 61.271786, 239.453868]]
### 10
mean: [-11.121495]
std: [16.874905]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[277.731650, 289.101470, 329.033518, 340.212405, 1000.934531]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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0.802087
],
[
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[
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],
[
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],
[
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],
"network.0.bias": [
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"network.2.weight": [
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[
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],
[
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],
[
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1.469087
],
[
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]
],
"network.2.bias": [
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],
[
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0.105892,
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],
[
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0.760023,
-0.614383,
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],
[
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1.049614,
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0.766907,
0.719205
],
[
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0.026171,
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0.865616
]
],
"network.4.bias": [
0.209524,
-0.313245,
0.748148,
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],
"network.6.weight": [
[
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0.309424,
0.364191,
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0.440162
],
[
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0.657201,
1.04824
],
[
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0.768858
],
[
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[
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],
"network.6.bias": [
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],
"network.8.weight": [
[
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],
[
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0.127452
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[
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0.270306,
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[
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0.100203,
0.26722
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[
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]
],
"network.8.bias": [
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],
"network.10.weight": [
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0.120419,
-0.411705,
0.122249
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],
"network.10.bias": [
1.12655
]
}
## Activation Signature
### 0
mean: [0.292498, -2.496580, 0.085218, -2.866366, -0.212486]
std: [3.053644, 1.707467, 0.964769, 1.680036, 2.941486]
pca: [[0.778492, 0.396500, 0.377892, 0.052630, 0.301938, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.279303, -0.175880, 0.621714, -0.650050, 0.286293, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.131259, -0.235211, -0.233098, 0.288518, 0.888746, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.112053, -0.344377, 0.627291, 0.670443, -0.160815, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.534935, 0.798708, 0.151131, 0.204767, 0.105541, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[47.309663, 50.912149, 52.911282, 54.539982, 68.057233], [25.715377, 26.794713, 33.096351, 34.878196, 224.692187], [14.392690, 14.781575, 16.552317, 16.874075, 18.483186], [27.520185, 28.631821, 29.258520, 34.418461, 257.972919], [42.744554, 43.286325, 48.269762, 50.126290, 51.827993]]
### 2
mean: [-0.774783, 2.230092, -1.137801, 2.063408, 2.202515]
std: [0.634091, 2.991224, 0.567877, 2.886157, 2.628728]
pca: [[-0.125447, 0.179558, 0.034026, 0.795180, 0.564405, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.608224, -0.210592, -0.051740, 0.533474, -0.546299, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.088854, -0.209076, 0.970463, 0.041293, -0.069918, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.582001, -0.486185, 0.002289, -0.231106, 0.609494, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.517403, 0.802073, 0.233156, -0.167269, 0.081438, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.844230, 10.500374, 11.186244, 12.185104, 69.730463], [46.570881, 49.148608, 56.824789, 60.038244, 200.708289], [8.146014, 8.738346, 9.700943, 12.012940, 102.402050], [45.762112, 46.534573, 53.307052, 56.979766, 185.706696], [48.098827, 48.354540, 52.438562, 52.732145, 198.226373]]
### 4
mean: [-2.350022, -1.205504, -0.838388, 5.460708, 4.112160]
std: [3.281300, 1.172252, 2.090479, 7.135754, 5.752281]
pca: [[-0.327400, -0.102035, 0.479471, -0.631203, 0.504072, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.116919, 0.119843, 0.598375, 0.727722, 0.290406, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.207939, 0.583504, -0.527233, 0.073782, 0.576946, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.711922, -0.408142, -0.115272, 0.054054, 0.557116, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.573645, 0.684229, 0.347553, -0.252266, -0.135390, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[53.918648, 55.812488, 63.819623, 66.364551, 211.501957], [18.838533, 19.638117, 22.586322, 23.618876, 108.495391], [32.511489, 34.305158, 39.635200, 41.959091, 75.454954], [115.360563, 120.188435, 137.885611, 144.126221, 491.463696], [95.854740, 98.789328, 112.500673, 116.515608, 370.094330]]
### 6
mean: [-0.274212, 7.601009, 6.028326, 6.566203, 1.690523]
std: [0.160722, 10.797256, 8.857259, 9.906021, 2.912170]
pca: [[-0.003336, 0.830401, 0.137783, -0.160854, 0.515329, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.621682, 0.383701, -0.460820, -0.036851, -0.502565, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.509996, -0.111443, 0.112734, 0.751507, 0.387314, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.570373, -0.357943, 0.150713, -0.638456, 0.340899, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.167567, 0.150547, 0.856293, 0.019485, -0.464370, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.836891, 2.995576, 3.022459, 3.222231, 24.679040], [177.920001, 185.311835, 210.598584, 218.003176, 684.090878], [145.924388, 153.039290, 173.000927, 178.471339, 542.549321], [162.954751, 171.069330, 193.356309, 199.598143, 590.958266], [48.942742, 51.483593, 57.440262, 58.534091, 152.147039]]
### 8
mean: [-4.548519, 14.027874, -3.502749, -3.312302, -2.660599]
std: [5.770424, 19.641563, 4.360627, 4.126818, 3.030329]
pca: [[-0.267787, 0.467870, 0.742445, 0.339260, -0.207523, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.911531, 0.188952, 0.224802, 0.125447, 0.259107, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.202367, 0.215021, -0.372661, 0.691746, 0.543530, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.191510, -0.483159, 0.499295, -0.165763, 0.673133, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.140618, 0.682435, -0.100340, -0.602641, 0.375852, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[95.342793, 98.937804, 112.582580, 116.503948, 409.366691], [323.507868, 337.078604, 383.064884, 395.859502, 1262.508669], [71.807363, 74.710988, 85.027778, 87.982628, 315.247377], [67.938214, 70.865851, 80.424166, 83.053277, 298.107200], [50.134386, 51.983329, 59.176310, 61.271786, 239.453868]]
### 10
mean: [-11.121495]
std: [16.874905]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[277.731650, 289.101470, 329.033518, 340.212405, 1000.934531]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
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"precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.284689, -0.071134, -0.519393, -0.31726, 0.802087], [-0.344087, -0.360907, -0.042553, -0.395751, -0.303847], [-0.203007, 0.198602, 0.06168, 0.160602, -0.390318], [0.113195, -0.40375, -0.472595, -0.04563, -0.522847], [-1.189412, -0.031691, -0.066753, -0.112109, 1.169771]], "network.0.bias": [-0.400545, -0.09843, -0.015899, -0.541616, 0.262554], "network.2.weight": [[-0.11596, -0.377587, 0.003412, 0.218023, -0.339255], [0.768233, 0.214398, 0.038584, 0.134058, 1.461065], [-0.244413, 0.205741, -0.711124, 0.1172, -0.229107], [0.640508, -0.028786, -0.055566, 0.040954, 1.469087], [0.953578, -0.208188, 0.040485, 0.117419, 0.960701]], "network.2.bias": [-0.334436, -0.047931, -0.326596, -0.011966, 0.098243], "network.4.weight": [[0.113484, -0.712061, 0.472643, -0.090842, -0.353736], [-0.327338, -0.46575, 0.300554, 0.105892, -0.032932], [0.237835, 0.026007, 0.760023, -0.614383, -0.164836], [0.153301, 1.049614, -0.200324, 0.766907, 0.719205], [-0.084909, 0.796129, 0.026171, 0.412757, 0.865616]], "network.4.bias": [0.209524, -0.313245, 0.748148, -0.068234, -0.434148], "network.6.weight": [[-0.218284, 0.309424, 0.364191, -0.346697, 0.440162], [-0.506905, -0.127693, -0.606457, 0.657201, 1.04824], [-0.040658, -0.030566, -0.974088, 0.597373, 0.768858], [-0.533107, 0.299256, -1.103119, 0.734269, 0.772394], [-0.101993, -0.188465, -0.564693, -0.058321, 0.561804]], "network.6.bias": [-0.345252, -0.186643, -0.159255, -0.315096, -0.172603], "network.8.weight": [[0.110093, -0.384146, -0.3999, 0.282232, -0.349088], [0.112826, 0.864752, 0.253052, 0.827487, 0.127452], [-0.353385, -0.17137, 0.270306, -0.457213, -0.180131], [-0.027155, -0.345511, -0.248788, 0.100203, 0.26722], [-0.13622, 0.010885, -0.18018, -0.030149, -0.479034]], "network.8.bias": [-0.294755, -0.389421, -0.324101, -0.247445, -0.460398], "network.10.weight": [[0.109448, -0.863932, 0.120419, -0.411705, 0.122249]], "network.10.bias": [1.12655]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7029479146003723, "train_acc": 0.43, "val_loss": 0.7360483407974243, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.654867559671402, "train_acc": 0.59, "val_loss": 0.7988041043281555, "val_acc": 0.38}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6318903863430023, "train_acc": 0.59, "val_loss": 0.6577391028404236, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5659666359424591, "train_acc": 0.53, "val_loss": 0.5297023057937622, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4990169405937195, "train_acc": 0.8, "val_loss": 0.4804736375808716, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.454174280166626, "train_acc": 0.825, "val_loss": 0.42781922221183777, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.39324119687080383, "train_acc": 0.84, "val_loss": 0.4568672180175781, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.39590883255004883, "train_acc": 0.84, "val_loss": 0.388334184885025, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3754267245531082, "train_acc": 0.86, "val_loss": 0.36045318841934204, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3814660608768463, "train_acc": 0.845, "val_loss": 0.34014496207237244, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.363529697060585, "train_acc": 0.84, "val_loss": 0.32558104395866394, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.3510609567165375, "train_acc": 0.85, "val_loss": 0.33328160643577576, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.38392801582813263, "train_acc": 0.85, "val_loss": 0.3430829644203186, "val_acc": 0.94}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.7360483407974243, "final_val_loss": 0.6577391028404236, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.5297023057937622, "final_val_loss": 0.3430829644203186, "initial_val_acc": 0.78, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 12}, "improvement": 0.5599999999999999, "first_improvement_epoch": 2}}
|
102
|
{"target_pattern": "alternating", "degraded_accuracy": 0.46, "improved_accuracy": 0.94, "improvement": 0.4799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2661, "learning_rate": 0.016454883598897074, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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],
[
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],
"network.0.bias": [
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"network.2.weight": [
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[
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[
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[
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[
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],
"network.2.bias": [
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"network.4.weight": [
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0.3319,
-0.029134,
-0.135393,
-0.311205
],
[
0.208023,
-0.300509,
0.315703,
0.041111,
0.348268,
0.157208
],
[
0.249058,
0.204892,
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0.259487
],
[
0.226137,
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-0.135234,
0.02363,
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0.1663
],
[
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0.633341,
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]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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],
[
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0.031351,
-0.246278,
0.659534
],
[
-0.278436,
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0.004709,
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0.363338
],
[
0.182668,
-0.066706,
0.18972,
-0.202095,
-0.18865,
-0.305755
],
[
0.616854,
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-0.455299,
-0.393837,
0.297972,
-0.021314
],
[
-0.357167,
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0.021609,
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]
],
"network.6.bias": [
0.254925,
-0.148587,
0.049741,
-0.328122,
0.144985,
-0.362584
],
"network.8.weight": [
[
-0.278607,
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-0.387016,
0.054978,
0.464538,
0.176217
]
],
"network.8.bias": [
0.041843
]
}
## Activation Signature
### 0
mean: [-0.190862, -1.481223, 0.739586, -0.774737, 2.347049, 0.456640]
std: [1.657835, 1.012408, 1.441795, 1.861160, 1.737191, 1.542404]
pca: [[-0.525077, 0.013896, -0.548277, 0.065579, -0.207958, 0.613144, 0.000000, 0.000000, 0.000000, 0.000000], [0.034439, -0.361238, -0.239623, 0.815862, 0.352818, -0.144190, 0.000000, 0.000000, 0.000000, 0.000000], [-0.410789, -0.320626, 0.375988, -0.262339, 0.675522, 0.248863, 0.000000, 0.000000, 0.000000, 0.000000], [0.663631, -0.292777, 0.131323, 0.020973, -0.048534, 0.673672, 0.000000, 0.000000, 0.000000, 0.000000], [-0.061537, 0.730577, 0.405869, 0.435468, 0.143575, 0.295796, 0.000000, 0.000000, 0.000000, 0.000000], [-0.331915, -0.383474, 0.564473, 0.266787, -0.594116, -0.000833, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.225061, 28.568238, 31.240720, 31.382692, 33.323170], [16.882015, 17.843184, 18.855336, 18.982586, 133.310104], [22.233518, 24.139809, 24.738401, 27.242844, 66.562740], [28.061487, 29.272438, 32.632475, 33.552072, 69.726306], [25.836340, 28.087976, 30.476423, 31.080149, 211.234434], [24.334478, 24.759643, 25.844220, 26.791591, 41.097599]]
### 2
mean: [0.371944, 0.868412, 0.052815, 1.618177, 0.519432, -0.086668]
std: [0.531245, 1.462650, 1.385938, 0.982158, 0.813805, 0.366392]
pca: [[0.252946, 0.067860, -0.015123, 0.689529, 0.572441, -0.357833, 0.000000, 0.000000, 0.000000, 0.000000], [0.705175, 0.248428, 0.274535, 0.106549, -0.094813, 0.587623, 0.000000, 0.000000, 0.000000, 0.000000], [-0.655455, 0.306970, 0.223568, 0.309268, 0.218917, 0.531595, 0.000000, 0.000000, 0.000000, 0.000000], [0.067284, 0.702522, -0.490724, -0.390368, 0.328834, -0.024644, 0.000000, 0.000000, 0.000000, 0.000000], [-0.059196, 0.571662, 0.512740, 0.061872, -0.407074, -0.487092, 0.000000, 0.000000, 0.000000, 0.000000], [0.033077, -0.138250, 0.608857, -0.511209, 0.584428, -0.078711, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.880702, 8.182885, 8.525107, 9.348196, 33.474975], [22.379890, 22.896318, 23.033812, 25.642709, 78.157104], [19.377990, 22.260148, 22.335844, 25.095652, 29.053866], [15.203771, 15.575293, 16.576698, 18.931209, 145.635957], [13.101251, 13.254772, 13.927457, 14.096074, 46.748923], [5.403141, 6.584143, 6.741895, 6.777447, 7.800090]]
### 4
mean: [-0.022780, -0.335570, -0.003230, -0.734215, 0.221740, 1.586990]
std: [0.353299, 0.602677, 0.607566, 0.571190, 0.217762, 1.148182]
pca: [[-0.157562, -0.064228, 0.825381, 0.362725, 0.350822, -0.187481, 0.000000, 0.000000, 0.000000, 0.000000], [-0.037955, 0.640274, -0.164590, 0.700615, -0.106930, 0.243358, 0.000000, 0.000000, 0.000000, 0.000000], [0.246748, 0.566348, -0.122635, -0.278761, 0.522846, -0.502245, 0.000000, 0.000000, 0.000000, 0.000000], [-0.297682, -0.424931, -0.521698, 0.384988, 0.535344, -0.154407, 0.000000, 0.000000, 0.000000, 0.000000], [-0.139515, 0.128384, 0.066100, -0.297273, 0.525110, 0.771733, 0.000000, 0.000000, 0.000000, 0.000000], [0.897090, -0.261006, 0.008899, 0.251543, 0.172591, 0.184295, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.578375, 5.567694, 6.273667, 6.994870, 8.249438], [9.439323, 10.588474, 10.673509, 11.462709, 30.201327], [9.106986, 10.107162, 10.363647, 11.057649, 12.776748], [9.181836, 9.184253, 10.149825, 10.511651, 66.079393], [3.379713, 3.464396, 3.610745, 4.277846, 19.956573], [16.263495, 16.375167, 18.048699, 22.953859, 142.829092]]
### 6
mean: [1.162865, 0.936993, 0.775143, -0.804913, 0.142498, -0.405161]
std: [0.742451, 0.916619, 0.645066, 0.299184, 0.330018, 0.108312]
pca: [[0.526150, -0.483223, -0.297512, -0.338902, -0.318856, 0.429679, 0.000000, 0.000000, 0.000000, 0.000000], [0.664613, -0.046498, 0.349570, 0.155247, 0.639608, -0.026990, 0.000000, 0.000000, 0.000000, 0.000000], [0.449696, 0.543080, 0.307335, 0.085586, -0.621642, -0.120910, 0.000000, 0.000000, 0.000000, 0.000000], [-0.199970, 0.318642, 0.430775, -0.568459, 0.157550, 0.570039, 0.000000, 0.000000, 0.000000, 0.000000], [-0.198073, -0.523946, 0.641005, 0.397651, -0.270253, 0.210233, 0.000000, 0.000000, 0.000000, 0.000000], [0.002844, 0.305524, -0.313655, 0.610284, 0.070249, 0.656419, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.543585, 10.742713, 11.581258, 14.918446, 104.657852], [14.116054, 14.692024, 15.084669, 18.090019, 84.329419], [11.037516, 11.379123, 11.757774, 11.938873, 69.762829], [4.205586, 4.482305, 4.645936, 6.198259, 72.442163], [5.820719, 5.980980, 6.127089, 6.145833, 12.824785], [1.702365, 1.765383, 1.894731, 2.133199, 36.464490]]
### 8
mean: [-1.051491]
std: [1.013999]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.530511, 16.257115, 16.677410, 20.657152, 94.634217]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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0.458659,
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],
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[
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],
[
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[
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[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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],
[
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[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
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],
[
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-0.311205
],
[
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0.041111,
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0.157208
],
[
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],
[
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0.1663
],
[
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]
],
"network.4.bias": [
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],
"network.6.weight": [
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[
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[
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[
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],
[
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]
],
"network.6.bias": [
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0.049741,
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0.144985,
-0.362584
],
"network.8.weight": [
[
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-0.582637,
-0.387016,
0.054978,
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0.176217
]
],
"network.8.bias": [
0.041843
]
}
## Activation Signature
### 0
mean: [-0.190862, -1.481223, 0.739586, -0.774737, 2.347049, 0.456640]
std: [1.657835, 1.012408, 1.441795, 1.861160, 1.737191, 1.542404]
pca: [[-0.525077, 0.013896, -0.548277, 0.065579, -0.207958, 0.613144, 0.000000, 0.000000, 0.000000, 0.000000], [0.034439, -0.361238, -0.239623, 0.815862, 0.352818, -0.144190, 0.000000, 0.000000, 0.000000, 0.000000], [-0.410789, -0.320626, 0.375988, -0.262339, 0.675522, 0.248863, 0.000000, 0.000000, 0.000000, 0.000000], [0.663631, -0.292777, 0.131323, 0.020973, -0.048534, 0.673672, 0.000000, 0.000000, 0.000000, 0.000000], [-0.061537, 0.730577, 0.405869, 0.435468, 0.143575, 0.295796, 0.000000, 0.000000, 0.000000, 0.000000], [-0.331915, -0.383474, 0.564473, 0.266787, -0.594116, -0.000833, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.225061, 28.568238, 31.240720, 31.382692, 33.323170], [16.882015, 17.843184, 18.855336, 18.982586, 133.310104], [22.233518, 24.139809, 24.738401, 27.242844, 66.562740], [28.061487, 29.272438, 32.632475, 33.552072, 69.726306], [25.836340, 28.087976, 30.476423, 31.080149, 211.234434], [24.334478, 24.759643, 25.844220, 26.791591, 41.097599]]
### 2
mean: [0.371944, 0.868412, 0.052815, 1.618177, 0.519432, -0.086668]
std: [0.531245, 1.462650, 1.385938, 0.982158, 0.813805, 0.366392]
pca: [[0.252946, 0.067860, -0.015123, 0.689529, 0.572441, -0.357833, 0.000000, 0.000000, 0.000000, 0.000000], [0.705175, 0.248428, 0.274535, 0.106549, -0.094813, 0.587623, 0.000000, 0.000000, 0.000000, 0.000000], [-0.655455, 0.306970, 0.223568, 0.309268, 0.218917, 0.531595, 0.000000, 0.000000, 0.000000, 0.000000], [0.067284, 0.702522, -0.490724, -0.390368, 0.328834, -0.024644, 0.000000, 0.000000, 0.000000, 0.000000], [-0.059196, 0.571662, 0.512740, 0.061872, -0.407074, -0.487092, 0.000000, 0.000000, 0.000000, 0.000000], [0.033077, -0.138250, 0.608857, -0.511209, 0.584428, -0.078711, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.880702, 8.182885, 8.525107, 9.348196, 33.474975], [22.379890, 22.896318, 23.033812, 25.642709, 78.157104], [19.377990, 22.260148, 22.335844, 25.095652, 29.053866], [15.203771, 15.575293, 16.576698, 18.931209, 145.635957], [13.101251, 13.254772, 13.927457, 14.096074, 46.748923], [5.403141, 6.584143, 6.741895, 6.777447, 7.800090]]
### 4
mean: [-0.022780, -0.335570, -0.003230, -0.734215, 0.221740, 1.586990]
std: [0.353299, 0.602677, 0.607566, 0.571190, 0.217762, 1.148182]
pca: [[-0.157562, -0.064228, 0.825381, 0.362725, 0.350822, -0.187481, 0.000000, 0.000000, 0.000000, 0.000000], [-0.037955, 0.640274, -0.164590, 0.700615, -0.106930, 0.243358, 0.000000, 0.000000, 0.000000, 0.000000], [0.246748, 0.566348, -0.122635, -0.278761, 0.522846, -0.502245, 0.000000, 0.000000, 0.000000, 0.000000], [-0.297682, -0.424931, -0.521698, 0.384988, 0.535344, -0.154407, 0.000000, 0.000000, 0.000000, 0.000000], [-0.139515, 0.128384, 0.066100, -0.297273, 0.525110, 0.771733, 0.000000, 0.000000, 0.000000, 0.000000], [0.897090, -0.261006, 0.008899, 0.251543, 0.172591, 0.184295, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.578375, 5.567694, 6.273667, 6.994870, 8.249438], [9.439323, 10.588474, 10.673509, 11.462709, 30.201327], [9.106986, 10.107162, 10.363647, 11.057649, 12.776748], [9.181836, 9.184253, 10.149825, 10.511651, 66.079393], [3.379713, 3.464396, 3.610745, 4.277846, 19.956573], [16.263495, 16.375167, 18.048699, 22.953859, 142.829092]]
### 6
mean: [1.162865, 0.936993, 0.775143, -0.804913, 0.142498, -0.405161]
std: [0.742451, 0.916619, 0.645066, 0.299184, 0.330018, 0.108312]
pca: [[0.526150, -0.483223, -0.297512, -0.338902, -0.318856, 0.429679, 0.000000, 0.000000, 0.000000, 0.000000], [0.664613, -0.046498, 0.349570, 0.155247, 0.639608, -0.026990, 0.000000, 0.000000, 0.000000, 0.000000], [0.449696, 0.543080, 0.307335, 0.085586, -0.621642, -0.120910, 0.000000, 0.000000, 0.000000, 0.000000], [-0.199970, 0.318642, 0.430775, -0.568459, 0.157550, 0.570039, 0.000000, 0.000000, 0.000000, 0.000000], [-0.198073, -0.523946, 0.641005, 0.397651, -0.270253, 0.210233, 0.000000, 0.000000, 0.000000, 0.000000], [0.002844, 0.305524, -0.313655, 0.610284, 0.070249, 0.656419, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.543585, 10.742713, 11.581258, 14.918446, 104.657852], [14.116054, 14.692024, 15.084669, 18.090019, 84.329419], [11.037516, 11.379123, 11.757774, 11.938873, 69.762829], [4.205586, 4.482305, 4.645936, 6.198259, 72.442163], [5.820719, 5.980980, 6.127089, 6.145833, 12.824785], [1.702365, 1.765383, 1.894731, 2.133199, 36.464490]]
### 8
mean: [-1.051491]
std: [1.013999]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.530511, 16.257115, 16.677410, 20.657152, 94.634217]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.19086214900016785, "std": 1.6578346490859985, "pca": [-0.5250769257545471, 0.013895818963646889, -0.5482773780822754, 0.06557883322238922, -0.20795784890651703, 0.6131443381309509, 0.0, 0.0, 0.0, 0.0], "fourier": [28.225060957725045, 28.5682375527854, 31.240719906565666, 31.382692278646598, 33.323170335356565]}, "1": {"mean": -1.4812233448028564, "std": 1.012407660484314, "pca": [0.03443911299109459, -0.36123770475387573, -0.2396230548620224, 0.8158619999885559, 0.352818101644516, -0.14418955147266388, 0.0, 0.0, 0.0, 0.0], "fourier": [16.882014983473486, 17.843183736539114, 18.855336133691708, 18.9825856299944, 133.31010387837887]}, "2": {"mean": 0.7395860552787781, "std": 1.441794991493225, "pca": [-0.4107893407344818, -0.3206257224082947, 0.37598830461502075, -0.2623387277126312, 0.6755216717720032, 0.2488633096218109, 0.0, 0.0, 0.0, 0.0], "fourier": [22.233517875601162, 24.139808678990995, 24.738400939338792, 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[0.897089958190918, -0.2610064446926117, 0.00889923982322216, 0.2515428960323334, 0.17259132862091064, 0.18429450690746307, 0.0, 0.0, 0.0, 0.0], "fourier": [16.263494953877466, 16.375167049212013, 18.048699296634826, 22.953859205813778, 142.82909214496613]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "6": {"neuron_profiles": {"0": {"mean": 1.162865161895752, "std": 0.7424514293670654, "pca": [0.5261499285697937, -0.483223021030426, -0.2975119650363922, -0.33890223503112793, -0.3188561797142029, 0.42967939376831055, 0.0, 0.0, 0.0, 0.0], "fourier": [10.543584667798719, 10.742713412813922, 11.581258039488873, 14.91844575759758, 104.65785206854343]}, "1": {"mean": 0.9369934797286987, "std": 0.9166186451911926, "pca": [0.664612889289856, -0.04649781808257103, 0.3495696485042572, 0.15524712204933167, 0.6396081447601318, -0.026990095153450966, 0.0, 0.0, 0.0, 0.0], "fourier": [14.11605374898463, 14.692023625077223, 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6.145833280723455, 12.824785016477108]}, "5": {"mean": -0.4051610231399536, "std": 0.10831214487552643, "pca": [0.002844133647158742, 0.30552390217781067, -0.3136546313762665, 0.610284149646759, 0.07024932652711868, 0.6564192175865173, 0.0, 0.0, 0.0, 0.0], "fourier": [1.7023651533019137, 1.7653831262191901, 1.8947312795211517, 2.1331985321442426, 36.46449038386345]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -1.0514912605285645, "std": 1.0139994621276855, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [15.530511088910826, 16.257115307942843, 16.67741032422235, 20.657152061412003, 94.63421683758497]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.518769, 0.458659, -0.495839, 0.158377, 0.010402], [-0.112147, -0.437098, -0.13788, 0.009419, -0.008361], [0.062742, -0.022378, -0.424371, 0.332511, 0.567928], [0.430719, -0.665037, 0.309715, -0.423106, -0.102137], [-0.012249, 0.368704, 0.61124, 0.361591, -0.26959], [0.294233, -0.330455, -0.362319, 0.505871, 0.442396]], "network.0.bias": [0.302233, -0.267044, 0.175253, 0.287438, -0.0293, -0.180943], "network.2.weight": [[-0.186256, 0.255269, -0.099489, -0.148632, 0.199638, -0.200875], [-0.494708, -0.184909, -0.377937, -0.049065, 0.639144, -0.289091], [-0.022899, -0.260974, 0.488227, -0.339333, -0.318065, 0.578582], [-0.073174, -0.278475, 0.431735, -0.38361, 0.481279, -0.055717], [-0.441441, -0.225634, 0.138488, -0.342766, 0.260796, 0.427242], [-0.246474, 0.281762, -0.064041, 0.258885, -0.04873, 0.036097]], "network.2.bias": [0.317523, 0.237883, -0.009681, 0.298841, -0.231394, 0.090863], "network.4.weight": [[0.154187, -0.292276, -0.25279, 0.42636, -0.455084, -0.328968], [-0.419726, -0.184451, 0.3319, -0.029134, -0.135393, -0.311205], [0.208023, -0.300509, 0.315703, 0.041111, 0.348268, 0.157208], [0.249058, 0.204892, -0.109073, -0.351228, -0.218823, 0.259487], [0.226137, -0.297686, -0.135234, 0.02363, 0.041326, 0.1663], [0.50857, 0.562403, 0.633341, 0.155902, 0.336365, -0.117417]], "network.4.bias": [-0.027724, 0.036268, -0.231661, -0.330639, 0.431758, -0.020712], "network.6.weight": [[-0.07435, -0.0982, 0.077462, -0.272571, -0.20701, 0.605148], [-0.02742, 0.559941, 0.18282, 0.031351, -0.246278, 0.659534], [-0.278436, 0.654086, 0.368808, 0.004709, 0.114155, 0.363338], [0.182668, -0.066706, 0.18972, -0.202095, -0.18865, -0.305755], [0.616854, -0.093668, -0.455299, -0.393837, 0.297972, -0.021314], [-0.357167, 0.279823, 0.021609, -0.221507, 0.131472, -0.043401]], "network.6.bias": [0.254925, -0.148587, 0.049741, -0.328122, 0.144985, -0.362584], "network.8.weight": [[-0.278607, -0.582637, -0.387016, 0.054978, 0.464538, 0.176217]], "network.8.bias": [0.041843]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6742225885391235, "train_acc": 0.585, "val_loss": 0.6989023089408875, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6494012475013733, "train_acc": 0.585, "val_loss": 0.6856422424316406, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6352405846118927, "train_acc": 0.585, "val_loss": 0.6672301292419434, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6050651967525482, "train_acc": 0.585, "val_loss": 0.624855101108551, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5984270870685577, "train_acc": 0.51, "val_loss": 0.5768671035766602, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5465994775295258, "train_acc": 0.51, "val_loss": 0.520077645778656, "val_acc": 0.46}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4863612949848175, "train_acc": 0.575, "val_loss": 0.4641299545764923, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.43151645362377167, "train_acc": 0.885, "val_loss": 0.4078037142753601, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.37441249191761017, "train_acc": 0.98, "val_loss": 0.36125102639198303, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3047906905412674, "train_acc": 0.98, "val_loss": 0.32132983207702637, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.26364666223526, "train_acc": 0.975, "val_loss": 0.2879903316497803, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.21181906759738922, "train_acc": 0.975, "val_loss": 0.26259538531303406, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.17650815099477768, "train_acc": 0.98, "val_loss": 0.22646604478359222, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.1279204785823822, "train_acc": 0.98, "val_loss": 0.18974803388118744, "val_acc": 0.92}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6989023089408875, "final_val_loss": 0.624855101108551, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5768671035766602, "final_val_loss": 0.18974803388118744, "initial_val_acc": 0.46, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 7}, "improvement": 0.4799999999999999, "first_improvement_epoch": 3}}
|
103
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.52, "improved_accuracy": 0.98, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8051, "learning_rate": 0.07341084060543933, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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[
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[
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[
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],
"network.2.bias": [
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"network.4.weight": [
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],
[
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[
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[
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[
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"network.4.bias": [
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"network.6.weight": [
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[
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],
[
0.58783,
0.352645,
0.665154,
0.863822,
-1.034329
],
[
0.547301,
0.172354,
0.53352,
0.767213,
-0.004813
]
],
"network.6.bias": [
-0.179243,
-0.426166,
-0.095002,
-0.115449,
-0.096635
],
"network.8.weight": [
[
0.334613,
0.032768,
-0.691312,
-0.5596,
-0.927024
]
],
"network.8.bias": [
1.112094
]
}
## Activation Signature
### 0
mean: [-0.247488, -1.154480, 0.397978, 0.451070, 0.387183]
std: [2.201334, 1.830483, 1.822837, 1.926613, 1.977049]
pca: [[0.619756, -0.286021, -0.168405, -0.164731, 0.691808, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.392438, 0.461394, -0.390303, -0.571931, -0.392003, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.390531, -0.073300, 0.860938, -0.225045, -0.224173, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.512849, -0.282274, -0.223727, 0.609584, -0.485448, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.215328, 0.787563, 0.167441, 0.472779, 0.286045, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.005596, 33.109220, 33.155005, 35.066293, 43.796021], [29.281951, 29.495069, 31.968950, 33.504811, 103.903177], [26.697920, 31.505780, 31.970500, 33.501194, 35.818045], [27.276205, 29.067081, 29.640444, 34.063868, 40.596306], [30.626536, 31.423462, 34.568579, 34.846450, 44.895411]]
### 2
mean: [-1.521629, 1.727792, 2.849101, -0.173479, -0.884306]
std: [0.915822, 1.632026, 2.523502, 0.982653, 0.407301]
pca: [[-0.287844, 0.061757, 0.306678, 0.767359, 0.480043, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.513091, 0.109114, 0.742150, -0.296510, 0.293475, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.797024, -0.130808, -0.413412, 0.405628, 0.110446, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.057743, 0.980487, -0.187103, 0.007805, 0.015542, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.123699, -0.076250, -0.386324, -0.398305, 0.819141, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.270714, 14.642924, 18.082582, 18.283701, 136.946656], [23.368263, 26.928250, 32.378698, 33.379518, 155.501259], [37.758736, 41.178465, 50.548785, 50.669748, 256.419101], [15.613142, 16.424502, 16.631577, 18.949635, 19.689820], [6.414435, 6.689563, 7.714824, 8.290020, 79.587580]]
### 4
mean: [3.430896, -2.283891, 3.426197, 3.768215, -0.198442]
std: [3.004232, 1.675471, 3.031780, 3.482149, 0.968967]
pca: [[0.514713, -0.310108, 0.205885, 0.690250, -0.346511, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.287044, 0.190577, 0.236626, 0.580068, 0.699153, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.518870, 0.852216, 0.058583, -0.029047, -0.015000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.596587, -0.374983, 0.145727, -0.358131, 0.594959, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.165930, 0.025063, 0.936457, -0.240780, -0.192128, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.685002, 50.695899, 56.824577, 60.826056, 308.780662], [24.296810, 28.215059, 31.724712, 33.963910, 205.550190], [43.509069, 50.228098, 59.165026, 61.199449, 308.357741], [50.623418, 58.752875, 65.855298, 70.514309, 339.139364], [13.819284, 16.089493, 17.859781, 18.618740, 19.713350]]
### 6
mean: [-1.697534, -1.114369, 6.569492, 7.203067, 6.560593]
std: [1.424412, 0.637044, 5.811335, 7.020939, 5.860424]
pca: [[-0.130110, -0.107133, 0.347490, -0.296802, 0.873357, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.058003, 0.002789, 0.921457, 0.253145, -0.288898, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.530869, -0.465014, -0.060533, 0.653012, 0.268050, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.641311, 0.748218, 0.091604, -0.036846, 0.138354, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.535355, -0.460920, 0.134580, -0.648108, -0.250584, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.543220, 24.444401, 27.092829, 28.950640, 152.778018], [9.287445, 10.975166, 11.662606, 12.909977, 100.293189], [82.885058, 96.841191, 110.835810, 117.139099, 591.254294], [100.815287, 120.631327, 134.591841, 142.811810, 648.276037], [83.397382, 97.656664, 111.898619, 118.131921, 590.453421]]
### 8
mean: [-13.682788]
std: [13.218340]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[186.216139, 220.466238, 252.261853, 266.423311, 1231.450971]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.568073,
-0.683009,
0.119696,
0.14053,
0.689561
],
[
-0.505651,
-0.422664,
-0.145056,
0.48866,
-0.188654
],
[
-0.882414,
0.100796,
0.544576,
-0.24785,
0.34872
],
[
-0.390803,
-0.456211,
0.051587,
0.257857,
0.783899
],
[
-0.731076,
0.48518,
-0.229297,
0.33226,
-0.215186
]
],
"network.0.bias": [
0.302192,
-0.267264,
0.276275,
0.141195,
0.444722
],
"network.2.weight": [
[
-0.270856,
-0.078317,
-0.393445,
-0.197536,
-0.419138
],
[
0.886766,
0.497877,
0.491548,
0.04278,
0.860019
],
[
0.674739,
0.752228,
1.085029,
0.557836,
1.086982
],
[
-0.196724,
0.275819,
-0.025512,
-0.095526,
0.701113
],
[
-0.18812,
-0.211398,
-0.080637,
-0.031138,
-0.223868
]
],
"network.2.bias": [
-0.374774,
-0.29561,
-0.332423,
-0.663644,
-0.391423
],
"network.4.weight": [
[
-0.074295,
0.551578,
0.80398,
0.637741,
0.336982
],
[
0.416927,
-0.373486,
-0.408274,
-0.338286,
-0.237782
],
[
-0.056998,
0.451357,
0.914011,
0.33762,
0.254003
],
[
0.006381,
0.657954,
0.920156,
0.737362,
-0.024179
],
[
-0.13375,
-0.351103,
-0.157986,
-0.12446,
-0.151149
]
],
"network.4.bias": [
-0.091974,
-0.323667,
-0.138794,
-0.313718,
0.926372
],
"network.6.weight": [
[
-0.271283,
0.011979,
-0.03243,
-0.136228,
0.167578
],
[
-0.256177,
0.142042,
0.196451,
-0.13008,
0.048501
],
[
0.880951,
-0.302615,
0.471076,
0.520766,
0.045933
],
[
0.58783,
0.352645,
0.665154,
0.863822,
-1.034329
],
[
0.547301,
0.172354,
0.53352,
0.767213,
-0.004813
]
],
"network.6.bias": [
-0.179243,
-0.426166,
-0.095002,
-0.115449,
-0.096635
],
"network.8.weight": [
[
0.334613,
0.032768,
-0.691312,
-0.5596,
-0.927024
]
],
"network.8.bias": [
1.112094
]
}
## Activation Signature
### 0
mean: [-0.247488, -1.154480, 0.397978, 0.451070, 0.387183]
std: [2.201334, 1.830483, 1.822837, 1.926613, 1.977049]
pca: [[0.619756, -0.286021, -0.168405, -0.164731, 0.691808, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.392438, 0.461394, -0.390303, -0.571931, -0.392003, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.390531, -0.073300, 0.860938, -0.225045, -0.224173, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.512849, -0.282274, -0.223727, 0.609584, -0.485448, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.215328, 0.787563, 0.167441, 0.472779, 0.286045, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.005596, 33.109220, 33.155005, 35.066293, 43.796021], [29.281951, 29.495069, 31.968950, 33.504811, 103.903177], [26.697920, 31.505780, 31.970500, 33.501194, 35.818045], [27.276205, 29.067081, 29.640444, 34.063868, 40.596306], [30.626536, 31.423462, 34.568579, 34.846450, 44.895411]]
### 2
mean: [-1.521629, 1.727792, 2.849101, -0.173479, -0.884306]
std: [0.915822, 1.632026, 2.523502, 0.982653, 0.407301]
pca: [[-0.287844, 0.061757, 0.306678, 0.767359, 0.480043, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.513091, 0.109114, 0.742150, -0.296510, 0.293475, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.797024, -0.130808, -0.413412, 0.405628, 0.110446, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.057743, 0.980487, -0.187103, 0.007805, 0.015542, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.123699, -0.076250, -0.386324, -0.398305, 0.819141, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.270714, 14.642924, 18.082582, 18.283701, 136.946656], [23.368263, 26.928250, 32.378698, 33.379518, 155.501259], [37.758736, 41.178465, 50.548785, 50.669748, 256.419101], [15.613142, 16.424502, 16.631577, 18.949635, 19.689820], [6.414435, 6.689563, 7.714824, 8.290020, 79.587580]]
### 4
mean: [3.430896, -2.283891, 3.426197, 3.768215, -0.198442]
std: [3.004232, 1.675471, 3.031780, 3.482149, 0.968967]
pca: [[0.514713, -0.310108, 0.205885, 0.690250, -0.346511, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.287044, 0.190577, 0.236626, 0.580068, 0.699153, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.518870, 0.852216, 0.058583, -0.029047, -0.015000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.596587, -0.374983, 0.145727, -0.358131, 0.594959, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.165930, 0.025063, 0.936457, -0.240780, -0.192128, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.685002, 50.695899, 56.824577, 60.826056, 308.780662], [24.296810, 28.215059, 31.724712, 33.963910, 205.550190], [43.509069, 50.228098, 59.165026, 61.199449, 308.357741], [50.623418, 58.752875, 65.855298, 70.514309, 339.139364], [13.819284, 16.089493, 17.859781, 18.618740, 19.713350]]
### 6
mean: [-1.697534, -1.114369, 6.569492, 7.203067, 6.560593]
std: [1.424412, 0.637044, 5.811335, 7.020939, 5.860424]
pca: [[-0.130110, -0.107133, 0.347490, -0.296802, 0.873357, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.058003, 0.002789, 0.921457, 0.253145, -0.288898, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.530869, -0.465014, -0.060533, 0.653012, 0.268050, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.641311, 0.748218, 0.091604, -0.036846, 0.138354, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.535355, -0.460920, 0.134580, -0.648108, -0.250584, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.543220, 24.444401, 27.092829, 28.950640, 152.778018], [9.287445, 10.975166, 11.662606, 12.909977, 100.293189], [82.885058, 96.841191, 110.835810, 117.139099, 591.254294], [100.815287, 120.631327, 134.591841, 142.811810, 648.276037], [83.397382, 97.656664, 111.898619, 118.131921, 590.453421]]
### 8
mean: [-13.682788]
std: [13.218340]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[186.216139, 220.466238, 252.261853, 266.423311, 1231.450971]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.24748755991458893, "std": 2.2013344764709473, "pca": [0.6197556853294373, -0.28602105379104614, -0.16840507090091705, -0.16473114490509033, 0.6918079257011414, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [32.00559613119314, 33.109219552829465, 33.1550048350922, 35.06629257322253, 43.79602116940766]}, "1": {"mean": -1.154479742050171, "std": 1.8304834365844727, "pca": [0.3924378454685211, 0.4613940119743347, -0.3903026580810547, -0.5719312429428101, -0.3920033276081085, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [29.281951442896965, 29.49506922833673, 31.96895048734867, 33.504810634773655, 103.90317717194557]}, "2": {"mean": 0.3979783356189728, "std": 1.8228365182876587, "pca": [0.3905312418937683, -0.07329989224672318, 0.8609375357627869, -0.22504517436027527, -0.22417345643043518, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [26.69791994735514, 31.505780088060913, 31.97050028166575, 33.50119369506795, 35.81804543733597]}, "3": {"mean": 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"layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "6": {"neuron_profiles": {"0": {"mean": -1.6975337266921997, "std": 1.4244115352630615, "pca": [-0.13011011481285095, -0.10713294893503189, 0.34749001264572144, -0.2968023717403412, 0.8733572959899902, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [20.543220010935844, 24.44440145184521, 27.092829449525865, 28.950639912970438, 152.77801754325628]}, "1": {"mean": -1.1143689155578613, "std": 0.6370435953140259, "pca": [-0.058003220707178116, 0.002788892015814781, 0.9214572310447693, 0.25314489006996155, -0.2888980507850647, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [9.287445156633682, 10.975166366853681, 11.66260632356146, 12.909976701763318, 100.29318928718567]}, "2": {"mean": 6.569491863250732, "std": 5.81133508682251, "pca": [0.5308692455291748, -0.46501386165618896, -0.060533031821250916, 0.653012216091156, 0.2680499255657196, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [82.88505797856863, 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220.46623806769844, 252.26185315380272, 266.42331100709805, 1231.450971364975]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.568073, -0.683009, 0.119696, 0.14053, 0.689561], [-0.505651, -0.422664, -0.145056, 0.48866, -0.188654], [-0.882414, 0.100796, 0.544576, -0.24785, 0.34872], [-0.390803, -0.456211, 0.051587, 0.257857, 0.783899], [-0.731076, 0.48518, -0.229297, 0.33226, -0.215186]], "network.0.bias": [0.302192, -0.267264, 0.276275, 0.141195, 0.444722], "network.2.weight": [[-0.270856, -0.078317, -0.393445, -0.197536, -0.419138], [0.886766, 0.497877, 0.491548, 0.04278, 0.860019], [0.674739, 0.752228, 1.085029, 0.557836, 1.086982], [-0.196724, 0.275819, -0.025512, -0.095526, 0.701113], [-0.18812, -0.211398, -0.080637, -0.031138, -0.223868]], "network.2.bias": [-0.374774, -0.29561, -0.332423, -0.663644, -0.391423], "network.4.weight": [[-0.074295, 0.551578, 0.80398, 0.637741, 0.336982], [0.416927, -0.373486, -0.408274, -0.338286, -0.237782], [-0.056998, 0.451357, 0.914011, 0.33762, 0.254003], [0.006381, 0.657954, 0.920156, 0.737362, -0.024179], [-0.13375, -0.351103, -0.157986, -0.12446, -0.151149]], "network.4.bias": [-0.091974, -0.323667, -0.138794, -0.313718, 0.926372], "network.6.weight": [[-0.271283, 0.011979, -0.03243, -0.136228, 0.167578], [-0.256177, 0.142042, 0.196451, -0.13008, 0.048501], [0.880951, -0.302615, 0.471076, 0.520766, 0.045933], [0.58783, 0.352645, 0.665154, 0.863822, -1.034329], [0.547301, 0.172354, 0.53352, 0.767213, -0.004813]], "network.6.bias": [-0.179243, -0.426166, -0.095002, -0.115449, -0.096635], "network.8.weight": [[0.334613, 0.032768, -0.691312, -0.5596, -0.927024]], "network.8.bias": [1.112094]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6745876371860504, "train_acc": 0.61, "val_loss": 0.6420590877532959, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.581171452999115, "train_acc": 0.57, "val_loss": 0.5426830053329468, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5482781231403351, "train_acc": 0.615, "val_loss": 0.4820201098918915, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.45978572964668274, "train_acc": 0.895, "val_loss": 0.36108657717704773, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.36473217606544495, "train_acc": 0.885, "val_loss": 0.3011300563812256, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.30519425868988037, "train_acc": 0.93, "val_loss": 0.2651483714580536, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2730550020933151, "train_acc": 0.94, "val_loss": 0.24663181602954865, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.25642965734004974, "train_acc": 0.94, "val_loss": 0.21731282770633698, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.22863837331533432, "train_acc": 0.945, "val_loss": 0.1728881299495697, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.22460244596004486, "train_acc": 0.95, "val_loss": 0.15272952616214752, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.20061735808849335, "train_acc": 0.95, "val_loss": 0.14212533831596375, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.19263125956058502, "train_acc": 0.95, "val_loss": 0.1331714242696762, "val_acc": 0.98}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6420590877532959, "final_val_loss": 0.5426830053329468, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.4820201098918915, "final_val_loss": 0.1331714242696762, "initial_val_acc": 0.9, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 8}, "improvement": 0.45999999999999996, "first_improvement_epoch": 1}}
|
104
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.66, "improved_accuracy": 0.82, "improvement": 0.15999999999999992, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5418, "learning_rate": 0.05099409093006631, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "has_majority", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["has_majority"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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"network.2.weight": [
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[
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[
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[
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[
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[
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"network.8.weight": [
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"network.10.weight": [
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]
}
## Activation Signature
### 0
mean: [-3.110471, -2.123264, -0.901735, -0.835978, 2.227369, 1.518023, 3.203560]
std: [2.099546, 1.630814, 2.141675, 1.332506, 1.893080, 1.967491, 2.385110]
pca: [[0.538016, 0.008234, 0.111062, 0.681380, 0.483214, 0.017817, 0.006573, 0.000000, 0.000000, 0.000000], [0.250067, -0.177256, -0.479791, -0.500386, 0.540481, 0.125911, -0.342765, 0.000000, 0.000000, 0.000000], [0.309471, 0.672981, -0.112032, -0.288404, 0.084507, -0.385090, 0.447394, 0.000000, 0.000000, 0.000000], [0.209838, 0.415324, -0.013239, -0.036518, -0.217528, 0.856925, -0.018068, 0.000000, 0.000000, 0.000000], [-0.458802, -0.099698, -0.391316, 0.173573, 0.339331, 0.261703, 0.642395, 0.000000, 0.000000, 0.000000], [-0.221653, 0.070571, 0.750284, -0.313206, 0.508423, 0.148753, 0.065147, 0.000000, 0.000000, 0.000000], [-0.498569, 0.572883, -0.169368, 0.269442, 0.215138, -0.102949, -0.514846, 0.000000, 0.000000, 0.000000]]
fourier: [[31.446050, 32.268633, 36.542850, 40.655520, 279.942373], [25.446972, 27.839065, 28.837680, 35.661362, 191.093710], [31.389429, 31.812560, 32.951264, 47.977724, 81.156184], [19.158792, 20.139607, 20.900920, 30.695322, 75.238016], [31.642518, 32.081585, 32.487620, 37.042268, 200.463178], [33.530146, 36.760548, 38.736210, 43.687499, 136.622109], [36.314416, 39.531801, 42.164185, 48.072635, 288.320404]]
### 2
mean: [-2.391345, 0.216013, -1.308701, 0.505528, -1.088111, 2.882395, -3.524857]
std: [1.549470, 0.464125, 0.665186, 1.553254, 1.866313, 2.165630, 2.178366]
pca: [[0.425979, 0.214561, -0.131615, -0.307495, -0.299793, 0.709992, 0.258195, 0.000000, 0.000000, 0.000000], [0.082549, -0.045200, 0.631732, -0.071278, 0.604966, 0.142957, 0.447835, 0.000000, 0.000000, 0.000000], [0.126390, -0.125728, -0.504633, 0.635005, 0.456033, 0.314153, 0.060610, 0.000000, 0.000000, 0.000000], [0.084933, -0.594478, 0.292520, 0.432308, -0.532221, 0.041313, 0.286283, 0.000000, 0.000000, 0.000000], [0.107161, 0.712067, 0.356333, 0.555174, -0.188156, -0.014882, -0.103253, 0.000000, 0.000000, 0.000000], [-0.608060, 0.258685, -0.250631, 0.028962, -0.132086, -0.054795, 0.692273, 0.000000, 0.000000, 0.000000], [0.638216, 0.093549, -0.231475, -0.034452, 0.008114, -0.609796, 0.396541, 0.000000, 0.000000, 0.000000]]
fourier: [[23.591347, 24.164006, 30.294561, 31.322646, 215.221074], [6.669954, 7.862853, 7.918555, 7.985239, 19.441184], [10.172293, 11.196460, 11.545406, 13.389286, 117.783114], [26.786589, 27.153172, 29.725192, 30.301049, 45.497546], [31.885176, 32.271368, 32.640827, 40.162852, 97.929953], [34.930249, 35.429043, 39.158382, 40.339950, 259.415548], [34.967574, 36.144198, 37.656212, 43.573744, 317.237078]]
### 4
mean: [0.174855, 0.910633, -0.867698, 1.153008, -1.202263, 1.053270, 0.236956]
std: [0.619238, 1.525098, 0.387075, 1.506269, 0.545503, 0.919713, 1.412869]
pca: [[-0.180358, 0.203047, 0.700894, -0.344247, 0.540345, -0.153189, -0.032316, 0.000000, 0.000000, 0.000000], [0.551149, 0.386534, -0.307424, 0.197822, 0.476512, -0.357741, 0.241124, 0.000000, 0.000000, 0.000000], [0.057271, -0.373174, -0.103864, -0.576422, -0.091233, -0.207304, 0.680524, 0.000000, 0.000000, 0.000000], [0.559196, 0.126302, 0.283152, -0.100334, -0.072428, 0.733588, 0.194187, 0.000000, 0.000000, 0.000000], [-0.043991, -0.546290, 0.288593, 0.651685, 0.263375, 0.039353, 0.347474, 0.000000, 0.000000, 0.000000], [-0.276559, 0.569312, 0.238409, 0.271277, -0.446449, -0.119943, 0.505238, 0.000000, 0.000000, 0.000000], [-0.518947, 0.177774, -0.427961, -0.041803, 0.445770, 0.501491, 0.252960, 0.000000, 0.000000, 0.000000]]
fourier: [[8.248154, 8.973324, 9.935493, 10.795294, 15.736954], [24.811193, 25.415865, 26.051653, 31.778286, 81.956943], [5.483041, 5.771615, 6.682027, 7.351088, 78.092800], [24.692546, 25.692072, 25.786902, 29.254320, 103.770682], [7.376559, 8.710913, 10.493484, 11.006361, 108.203694], [11.929246, 12.884514, 13.758163, 15.220395, 94.794263], [21.849422, 22.687687, 23.437643, 23.770118, 25.107199]]
### 6
mean: [1.072098, -1.072000, -0.485386, 0.610013, -0.003628, 1.565648, -0.135814]
std: [1.808682, 0.306250, 0.196549, 1.649605, 0.191727, 2.098776, 1.367935]
pca: [[-0.513852, 0.509687, -0.349267, 0.195779, 0.006136, -0.442634, 0.346260, 0.000000, 0.000000, 0.000000], [0.017001, -0.414248, -0.115062, -0.419005, 0.030131, 0.033625, 0.798290, 0.000000, 0.000000, 0.000000], [0.000478, -0.245238, 0.177693, 0.510345, 0.788896, -0.077216, 0.139688, 0.000000, 0.000000, 0.000000], [-0.477014, 0.186048, -0.162729, -0.224535, 0.326343, 0.740504, -0.078114, 0.000000, 0.000000, 0.000000], [-0.010859, 0.206626, 0.482488, 0.476729, -0.388152, 0.407535, 0.424707, 0.000000, 0.000000, 0.000000], [0.593920, 0.652862, 0.078971, -0.268771, 0.329109, 0.028663, 0.182815, 0.000000, 0.000000, 0.000000], [-0.394037, 0.070281, 0.753450, -0.419200, 0.105943, -0.285886, -0.058525, 0.000000, 0.000000, 0.000000]]
fourier: [[28.938873, 29.181005, 30.242691, 37.846161, 96.488868], [4.594241, 4.727486, 4.863125, 6.130568, 96.480027], [2.854455, 3.254685, 3.636845, 3.918818, 43.684701], [25.788559, 26.305568, 27.332095, 33.179664, 54.901193], [2.604653, 3.127844, 3.328006, 3.527287, 3.542287], [30.416456, 32.210845, 32.671806, 35.143764, 140.908339], [21.783275, 21.842245, 22.005006, 22.084705, 26.002135]]
### 8
mean: [-1.008307, 0.386093, -1.532819, -0.440614, -1.734348, 1.418824, 1.116212]
std: [0.493968, 2.176152, 0.667506, 1.015839, 0.683139, 1.086045, 2.518234]
pca: [[0.086378, 0.328369, 0.609234, -0.496113, -0.004728, -0.096992, 0.507926, 0.000000, 0.000000, 0.000000], [-0.600930, -0.049696, 0.253394, 0.612326, 0.092196, -0.181753, 0.394624, 0.000000, 0.000000, 0.000000], [0.059214, 0.546362, 0.221824, 0.334259, -0.028901, 0.712970, -0.166992, 0.000000, 0.000000, 0.000000], [0.259321, 0.335321, 0.294013, 0.297801, -0.243644, -0.623458, -0.443983, 0.000000, 0.000000, 0.000000], [0.086893, 0.523911, -0.419102, 0.035432, 0.682271, -0.233146, 0.145652, 0.000000, 0.000000, 0.000000], [0.267692, -0.423398, 0.488513, 0.101822, 0.661789, 0.073560, -0.238089, 0.000000, 0.000000, 0.000000], [0.693872, -0.158127, -0.121182, 0.408524, -0.166797, 0.027645, 0.532330, 0.000000, 0.000000, 0.000000]]
fourier: [[7.552089, 8.123434, 8.135478, 8.922397, 90.747608], [33.603232, 34.748415, 35.649385, 37.860234, 43.256510], [11.016200, 11.210206, 11.438795, 13.367222, 137.953701], [14.373126, 15.502976, 15.784957, 15.931705, 39.655298], [10.705523, 11.833246, 12.320491, 13.203358, 156.091339], [17.329619, 18.065543, 18.583118, 23.058191, 127.694162], [40.158119, 41.181262, 43.966609, 51.467399, 100.459116]]
### 10
mean: [-0.833713]
std: [2.544938]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.896250, 42.312421, 46.085835, 52.697691, 75.034193]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
has_majority
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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],
[
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[
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],
[
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]
],
"network.0.bias": [
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-0.035529
],
"network.2.weight": [
[
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[
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[
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[
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[
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],
[
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0.499803,
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[
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],
"network.2.bias": [
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[
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[
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[
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[
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[
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[
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[
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],
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"network.8.weight": [
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[
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[
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],
"network.8.bias": [
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"network.10.weight": [
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-3.110471, -2.123264, -0.901735, -0.835978, 2.227369, 1.518023, 3.203560]
std: [2.099546, 1.630814, 2.141675, 1.332506, 1.893080, 1.967491, 2.385110]
pca: [[0.538016, 0.008234, 0.111062, 0.681380, 0.483214, 0.017817, 0.006573, 0.000000, 0.000000, 0.000000], [0.250067, -0.177256, -0.479791, -0.500386, 0.540481, 0.125911, -0.342765, 0.000000, 0.000000, 0.000000], [0.309471, 0.672981, -0.112032, -0.288404, 0.084507, -0.385090, 0.447394, 0.000000, 0.000000, 0.000000], [0.209838, 0.415324, -0.013239, -0.036518, -0.217528, 0.856925, -0.018068, 0.000000, 0.000000, 0.000000], [-0.458802, -0.099698, -0.391316, 0.173573, 0.339331, 0.261703, 0.642395, 0.000000, 0.000000, 0.000000], [-0.221653, 0.070571, 0.750284, -0.313206, 0.508423, 0.148753, 0.065147, 0.000000, 0.000000, 0.000000], [-0.498569, 0.572883, -0.169368, 0.269442, 0.215138, -0.102949, -0.514846, 0.000000, 0.000000, 0.000000]]
fourier: [[31.446050, 32.268633, 36.542850, 40.655520, 279.942373], [25.446972, 27.839065, 28.837680, 35.661362, 191.093710], [31.389429, 31.812560, 32.951264, 47.977724, 81.156184], [19.158792, 20.139607, 20.900920, 30.695322, 75.238016], [31.642518, 32.081585, 32.487620, 37.042268, 200.463178], [33.530146, 36.760548, 38.736210, 43.687499, 136.622109], [36.314416, 39.531801, 42.164185, 48.072635, 288.320404]]
### 2
mean: [-2.391345, 0.216013, -1.308701, 0.505528, -1.088111, 2.882395, -3.524857]
std: [1.549470, 0.464125, 0.665186, 1.553254, 1.866313, 2.165630, 2.178366]
pca: [[0.425979, 0.214561, -0.131615, -0.307495, -0.299793, 0.709992, 0.258195, 0.000000, 0.000000, 0.000000], [0.082549, -0.045200, 0.631732, -0.071278, 0.604966, 0.142957, 0.447835, 0.000000, 0.000000, 0.000000], [0.126390, -0.125728, -0.504633, 0.635005, 0.456033, 0.314153, 0.060610, 0.000000, 0.000000, 0.000000], [0.084933, -0.594478, 0.292520, 0.432308, -0.532221, 0.041313, 0.286283, 0.000000, 0.000000, 0.000000], [0.107161, 0.712067, 0.356333, 0.555174, -0.188156, -0.014882, -0.103253, 0.000000, 0.000000, 0.000000], [-0.608060, 0.258685, -0.250631, 0.028962, -0.132086, -0.054795, 0.692273, 0.000000, 0.000000, 0.000000], [0.638216, 0.093549, -0.231475, -0.034452, 0.008114, -0.609796, 0.396541, 0.000000, 0.000000, 0.000000]]
fourier: [[23.591347, 24.164006, 30.294561, 31.322646, 215.221074], [6.669954, 7.862853, 7.918555, 7.985239, 19.441184], [10.172293, 11.196460, 11.545406, 13.389286, 117.783114], [26.786589, 27.153172, 29.725192, 30.301049, 45.497546], [31.885176, 32.271368, 32.640827, 40.162852, 97.929953], [34.930249, 35.429043, 39.158382, 40.339950, 259.415548], [34.967574, 36.144198, 37.656212, 43.573744, 317.237078]]
### 4
mean: [0.174855, 0.910633, -0.867698, 1.153008, -1.202263, 1.053270, 0.236956]
std: [0.619238, 1.525098, 0.387075, 1.506269, 0.545503, 0.919713, 1.412869]
pca: [[-0.180358, 0.203047, 0.700894, -0.344247, 0.540345, -0.153189, -0.032316, 0.000000, 0.000000, 0.000000], [0.551149, 0.386534, -0.307424, 0.197822, 0.476512, -0.357741, 0.241124, 0.000000, 0.000000, 0.000000], [0.057271, -0.373174, -0.103864, -0.576422, -0.091233, -0.207304, 0.680524, 0.000000, 0.000000, 0.000000], [0.559196, 0.126302, 0.283152, -0.100334, -0.072428, 0.733588, 0.194187, 0.000000, 0.000000, 0.000000], [-0.043991, -0.546290, 0.288593, 0.651685, 0.263375, 0.039353, 0.347474, 0.000000, 0.000000, 0.000000], [-0.276559, 0.569312, 0.238409, 0.271277, -0.446449, -0.119943, 0.505238, 0.000000, 0.000000, 0.000000], [-0.518947, 0.177774, -0.427961, -0.041803, 0.445770, 0.501491, 0.252960, 0.000000, 0.000000, 0.000000]]
fourier: [[8.248154, 8.973324, 9.935493, 10.795294, 15.736954], [24.811193, 25.415865, 26.051653, 31.778286, 81.956943], [5.483041, 5.771615, 6.682027, 7.351088, 78.092800], [24.692546, 25.692072, 25.786902, 29.254320, 103.770682], [7.376559, 8.710913, 10.493484, 11.006361, 108.203694], [11.929246, 12.884514, 13.758163, 15.220395, 94.794263], [21.849422, 22.687687, 23.437643, 23.770118, 25.107199]]
### 6
mean: [1.072098, -1.072000, -0.485386, 0.610013, -0.003628, 1.565648, -0.135814]
std: [1.808682, 0.306250, 0.196549, 1.649605, 0.191727, 2.098776, 1.367935]
pca: [[-0.513852, 0.509687, -0.349267, 0.195779, 0.006136, -0.442634, 0.346260, 0.000000, 0.000000, 0.000000], [0.017001, -0.414248, -0.115062, -0.419005, 0.030131, 0.033625, 0.798290, 0.000000, 0.000000, 0.000000], [0.000478, -0.245238, 0.177693, 0.510345, 0.788896, -0.077216, 0.139688, 0.000000, 0.000000, 0.000000], [-0.477014, 0.186048, -0.162729, -0.224535, 0.326343, 0.740504, -0.078114, 0.000000, 0.000000, 0.000000], [-0.010859, 0.206626, 0.482488, 0.476729, -0.388152, 0.407535, 0.424707, 0.000000, 0.000000, 0.000000], [0.593920, 0.652862, 0.078971, -0.268771, 0.329109, 0.028663, 0.182815, 0.000000, 0.000000, 0.000000], [-0.394037, 0.070281, 0.753450, -0.419200, 0.105943, -0.285886, -0.058525, 0.000000, 0.000000, 0.000000]]
fourier: [[28.938873, 29.181005, 30.242691, 37.846161, 96.488868], [4.594241, 4.727486, 4.863125, 6.130568, 96.480027], [2.854455, 3.254685, 3.636845, 3.918818, 43.684701], [25.788559, 26.305568, 27.332095, 33.179664, 54.901193], [2.604653, 3.127844, 3.328006, 3.527287, 3.542287], [30.416456, 32.210845, 32.671806, 35.143764, 140.908339], [21.783275, 21.842245, 22.005006, 22.084705, 26.002135]]
### 8
mean: [-1.008307, 0.386093, -1.532819, -0.440614, -1.734348, 1.418824, 1.116212]
std: [0.493968, 2.176152, 0.667506, 1.015839, 0.683139, 1.086045, 2.518234]
pca: [[0.086378, 0.328369, 0.609234, -0.496113, -0.004728, -0.096992, 0.507926, 0.000000, 0.000000, 0.000000], [-0.600930, -0.049696, 0.253394, 0.612326, 0.092196, -0.181753, 0.394624, 0.000000, 0.000000, 0.000000], [0.059214, 0.546362, 0.221824, 0.334259, -0.028901, 0.712970, -0.166992, 0.000000, 0.000000, 0.000000], [0.259321, 0.335321, 0.294013, 0.297801, -0.243644, -0.623458, -0.443983, 0.000000, 0.000000, 0.000000], [0.086893, 0.523911, -0.419102, 0.035432, 0.682271, -0.233146, 0.145652, 0.000000, 0.000000, 0.000000], [0.267692, -0.423398, 0.488513, 0.101822, 0.661789, 0.073560, -0.238089, 0.000000, 0.000000, 0.000000], [0.693872, -0.158127, -0.121182, 0.408524, -0.166797, 0.027645, 0.532330, 0.000000, 0.000000, 0.000000]]
fourier: [[7.552089, 8.123434, 8.135478, 8.922397, 90.747608], [33.603232, 34.748415, 35.649385, 37.860234, 43.256510], [11.016200, 11.210206, 11.438795, 13.367222, 137.953701], [14.373126, 15.502976, 15.784957, 15.931705, 39.655298], [10.705523, 11.833246, 12.320491, 13.203358, 156.091339], [17.329619, 18.065543, 18.583118, 23.058191, 127.694162], [40.158119, 41.181262, 43.966609, 51.467399, 100.459116]]
### 10
mean: [-0.833713]
std: [2.544938]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.896250, 42.312421, 46.085835, 52.697691, 75.034193]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
has_majority
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.52959, -0.642706, -0.212845, -0.05295, -0.14924], [-0.094862, 0.455057, -0.669101, -0.509249, -0.055241], [0.430272, -0.638855, -0.855774, 0.583849, -0.034732], [0.213883, -0.485862, -0.444277, 0.408966, -0.079348], [-0.165768, 0.971226, 0.189298, 0.036233, 0.23077], [0.511366, -0.680495, 0.623348, 0.148872, 0.252377], [0.280661, 0.276462, 0.029753, 0.895415, 0.327349]], "network.0.bias": [-0.538052, -0.276565, 0.305372, -0.067891, -0.093869, 0.189052, -0.035529], "network.2.weight": [[-0.151611, 0.162446, -0.122129, -0.415895, -0.240976, -0.544479, -0.29412], [0.090465, 0.480629, 0.419401, 0.385209, 0.211484, 0.096595, -0.301664], [-0.406859, -0.234964, -0.456932, 0.067898, -0.436351, 0.045423, 0.072663], [-0.02483, -0.697425, 0.680823, 0.811973, -0.290739, 0.607894, -0.155804], [-0.477842, 0.62062, -0.881854, -0.317359, 0.554678, -0.53431, -0.356744], [0.06445, -0.070143, -0.548881, -0.245895, 0.499803, 0.115222, 0.554019], [0.234117, 0.175291, -0.086794, -0.414955, -0.533458, -0.540642, -0.426508]], "network.2.bias": [0.153215, 0.284206, -0.45669, 0.184686, 0.155175, 0.069776, 0.076573], "network.4.weight": [[0.166687, 0.560609, -0.200669, 0.281558, 0.807888, -0.085269, -0.189693], [0.163796, -0.398474, -0.011503, -0.42423, -0.749333, 0.59944, 0.197439], [0.017506, -0.192187, -0.435387, -0.327564, -0.321835, -0.084067, -0.501678], [-0.160993, -0.436655, -0.234869, -0.666274, -0.388669, 0.485988, 0.087205], [0.316603, -0.54266, -0.059419, -0.284957, 0.179242, -0.274292, -0.143185], [-0.33815, 0.697594, -0.377632, 0.706308, 0.71625, -0.013298, -0.235437], [0.20702, 0.655683, 0.103389, 0.8138, 0.304932, -0.325844, -0.204714]], "network.4.bias": [-0.196815, -0.146299, -0.200699, 0.564419, -0.024662, 0.079612, 0.181404], "network.6.weight": [[-0.258086, 0.613122, -0.332536, 0.453623, 0.173099, -0.516844, 0.010374], [0.022247, -0.157753, -0.054711, -0.141744, -0.303761, -0.286097, -0.088336], [-0.46354, -0.358884, 0.086872, 0.226475, -0.244345, 0.246686, -0.249986], [-0.146233, 0.30001, 0.090403, 0.513758, -0.343898, -0.727581, -0.029059], [0.044041, 0.146303, -0.039732, -0.008252, 0.163608, 0.311588, -0.18242], [0.670203, -0.385682, -0.410177, -0.002022, -0.27996, 0.793382, 0.903329], [0.27861, 0.075902, -0.079262, 0.538774, -0.364236, -0.660976, -0.203585]], "network.6.bias": [0.423218, -0.354222, -0.305926, 0.443647, -0.36823, 0.28686, -0.174154], "network.8.weight": [[0.114579, -0.273424, -0.182276, -0.144977, 0.148915, -0.328522, -0.37709], [-0.53554, -0.176147, 0.106976, -0.417415, 0.321949, 0.528829, -0.012186], [-0.250083, -0.202081, 0.222804, -0.30831, 0.410657, -0.520872, 0.076665], [0.068994, 0.075856, 0.339855, -0.113703, 0.324614, -0.512245, 0.139541], [-0.409386, -0.135801, -0.178436, -0.001144, 0.142192, -0.516038, 0.068159], [0.341058, -0.084961, 0.07385, 0.599007, 0.187869, 0.1227, -0.047699], [0.530306, 0.002696, 0.026509, 0.52598, 0.064742, -0.473135, 0.468795]], "network.8.bias": [-0.251829, 0.56576, -0.050147, 0.384833, -0.335496, 0.162049, 0.469953], "network.10.weight": [[0.114182, 0.6538, -0.081843, -0.090556, 0.0462, -0.419045, -0.700979]], "network.10.bias": [0.164686]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.700443834066391, "train_acc": 0.435, "val_loss": 0.7141767144203186, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6545816361904144, "train_acc": 0.595, "val_loss": 0.8002455830574036, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6526610851287842, "train_acc": 0.66, "val_loss": 0.6630882024765015, "val_acc": 0.66}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6914221942424774, "train_acc": 0.61, "val_loss": 0.6234384179115295, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6284283697605133, "train_acc": 0.7, "val_loss": 0.5819523334503174, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.6030287444591522, "train_acc": 0.735, "val_loss": 0.533841073513031, "val_acc": 0.64}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5244769304990768, "train_acc": 0.765, "val_loss": 0.4918290972709656, "val_acc": 0.68}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.46756957471370697, "train_acc": 0.79, "val_loss": 0.47193586826324463, "val_acc": 0.72}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4165618121623993, "train_acc": 0.815, "val_loss": 0.5036324262619019, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.39987029135227203, "train_acc": 0.83, "val_loss": 0.46991387009620667, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3750298321247101, "train_acc": 0.85, "val_loss": 0.4872044026851654, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.34066207706928253, "train_acc": 0.855, "val_loss": 0.44542258977890015, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3576979637145996, "train_acc": 0.845, "val_loss": 0.4607120156288147, "val_acc": 0.8}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.7141767144203186, "final_val_loss": 0.6630882024765015, "initial_val_acc": 0.42, "final_val_acc": 0.66, "best_val_acc": 0.66}, "improved_stage": {"initial_val_loss": 0.6234384179115295, "final_val_loss": 0.4607120156288147, "initial_val_acc": 0.7, "final_val_acc": 0.8, "best_val_acc": 0.82, "best_epoch": 10}, "improvement": 0.15999999999999992, "first_improvement_epoch": 2}}
|
105
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.52, "improved_accuracy": 1.0, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9115, "learning_rate": 0.01570519040435236, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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],
[
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"network.0.bias": [
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"network.2.weight": [
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[
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[
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[
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"network.6.weight": [
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"network.8.weight": [
[
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"network.10.weight": [
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"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [1.189266, 1.602529, 0.626220, 1.531415, 1.235540, 1.163975, -0.024803]
std: [1.607041, 1.793030, 1.942436, 1.514338, 1.566040, 1.229327, 1.533827]
pca: [[0.352544, 0.358267, 0.506663, -0.346993, -0.334730, -0.222239, -0.456960, 0.000000, 0.000000, 0.000000], [0.461453, 0.196860, -0.154491, 0.816283, -0.094434, -0.185725, -0.121287, 0.000000, 0.000000, 0.000000], [0.588862, 0.023457, -0.048578, -0.224024, 0.746313, 0.200300, -0.055152, 0.000000, 0.000000, 0.000000], [0.097857, 0.710757, -0.214463, -0.186407, -0.126993, 0.013305, 0.623059, 0.000000, 0.000000, 0.000000], [-0.357586, 0.455037, 0.268612, 0.270545, 0.173236, 0.646439, -0.268017, 0.000000, 0.000000, 0.000000], [0.004686, -0.120969, 0.769527, 0.233969, 0.204333, -0.170168, 0.517419, 0.000000, 0.000000, 0.000000], [0.422551, -0.324767, 0.082140, -0.020209, -0.483906, 0.654965, 0.213724, 0.000000, 0.000000, 0.000000]]
fourier: [[25.244939, 26.965418, 29.563305, 33.475924, 107.033961], [26.599811, 28.331397, 29.481384, 33.860861, 144.227588], [30.873519, 31.340971, 32.938421, 33.470616, 56.359795], [24.385282, 25.059327, 32.183292, 33.535732, 137.827345], [25.634624, 28.009056, 30.150907, 32.885154, 111.198618], [18.442064, 20.995162, 21.774860, 23.108812, 104.757734], [25.394954, 26.775050, 28.384859, 29.236326, 31.155226]]
### 2
mean: [-0.958244, 2.177995, 2.349911, -0.602845, 0.182665, 2.800301, 2.108801]
std: [2.148044, 1.998369, 1.831017, 1.503215, 0.950944, 2.130883, 2.210512]
pca: [[-0.395648, 0.709534, -0.086919, -0.195197, 0.063173, 0.516764, 0.152750, 0.000000, 0.000000, 0.000000], [0.441733, 0.151086, -0.156102, -0.078765, -0.559273, -0.052056, 0.660285, 0.000000, 0.000000, 0.000000], [0.388043, -0.165194, 0.409428, -0.387688, -0.246736, 0.575484, -0.334873, 0.000000, 0.000000, 0.000000], [-0.284124, -0.082287, 0.660482, -0.443655, 0.144209, -0.300046, 0.410626, 0.000000, 0.000000, 0.000000], [-0.131887, -0.070627, 0.479703, 0.762637, -0.130669, 0.314833, 0.222920, 0.000000, 0.000000, 0.000000], [0.394332, 0.658669, 0.364544, 0.159217, 0.036008, -0.393806, -0.309896, 0.000000, 0.000000, 0.000000], [0.494104, -0.029023, -0.034680, 0.039969, 0.763660, 0.234164, 0.337947, 0.000000, 0.000000, 0.000000]]
fourier: [[36.082167, 36.654309, 39.588798, 43.703164, 86.241979], [32.636418, 33.507027, 34.946972, 40.129964, 196.019534], [28.709624, 29.511590, 30.157240, 32.528528, 211.491992], [25.609592, 26.743937, 27.859660, 28.555424, 54.256092], [14.284797, 14.349713, 14.514298, 15.399396, 16.439878], [33.238830, 35.388609, 44.706058, 47.635241, 252.027038], [34.252950, 36.578818, 37.947908, 43.298685, 189.792106]]
### 4
mean: [0.617964, -0.956192, 3.050925, 4.572631, -1.504810, -2.866242, 0.159123]
std: [0.502458, 0.715529, 3.141369, 3.758048, 2.083055, 3.068237, 1.005174]
pca: [[0.037534, -0.135949, 0.412739, 0.241486, 0.822947, 0.266368, -0.056979, 0.000000, 0.000000, 0.000000], [-0.091464, -0.056980, -0.294373, 0.921880, -0.055633, -0.208158, 0.073792, 0.000000, 0.000000, 0.000000], [0.523192, 0.100873, -0.355445, -0.053627, 0.166131, 0.216970, 0.715683, 0.000000, 0.000000, 0.000000], [0.605398, 0.569114, 0.368879, 0.155259, -0.078321, -0.311281, -0.215396, 0.000000, 0.000000, 0.000000], [-0.291325, 0.658523, -0.116356, 0.127424, -0.077698, 0.658508, -0.109688, 0.000000, 0.000000, 0.000000], [-0.497562, 0.444009, 0.046914, -0.138918, 0.311125, -0.525446, 0.401121, 0.000000, 0.000000, 0.000000], [-0.132481, -0.115795, 0.681790, 0.171191, -0.427895, 0.178943, 0.509687, 0.000000, 0.000000, 0.000000]]
fourier: [[7.727936, 8.371947, 8.436747, 8.825335, 55.616772], [10.372953, 11.893309, 13.666524, 14.568907, 86.057316], [48.331150, 52.886995, 57.496467, 65.192331, 274.583262], [57.463105, 61.959145, 75.784435, 81.978317, 411.536813], [34.018916, 36.632115, 36.697414, 37.660328, 135.432896], [48.933068, 52.651980, 53.934044, 57.150706, 257.961790], [15.580069, 15.753876, 16.730650, 16.847724, 17.544956]]
### 6
mean: [1.399939, -0.104210, 2.876203, 3.927150, 0.798225, 4.445129, 3.731711]
std: [1.233402, 0.731224, 2.808621, 3.673739, 0.514430, 4.058708, 3.717021]
pca: [[0.142110, 0.708709, -0.367581, 0.005173, -0.431284, 0.394480, -0.027798, 0.000000, 0.000000, 0.000000], [-0.081510, 0.444889, -0.076267, 0.615147, 0.607486, -0.177617, 0.103057, 0.000000, 0.000000, 0.000000], [0.385136, -0.134005, 0.338681, 0.231463, 0.221153, 0.622629, -0.478391, 0.000000, 0.000000, 0.000000], [0.504609, -0.116097, 0.117907, 0.539179, -0.501910, -0.418717, 0.006123, 0.000000, 0.000000, 0.000000], [-0.036965, 0.287581, 0.769768, -0.065255, -0.103126, 0.139922, 0.537511, 0.000000, 0.000000, 0.000000], [0.556118, 0.341770, 0.115683, -0.520218, 0.283507, -0.404833, -0.213657, 0.000000, 0.000000, 0.000000], [0.509477, -0.262411, -0.352897, -0.048919, 0.230481, 0.257641, 0.652031, 0.000000, 0.000000, 0.000000]]
fourier: [[18.513308, 19.802517, 21.563866, 24.072833, 125.994524], [10.592329, 11.352635, 12.651300, 13.558934, 13.605565], [41.018584, 46.986935, 59.035984, 60.519406, 258.858313], [52.035646, 62.005014, 75.726975, 79.745369, 353.443561], [7.842612, 9.154101, 9.457751, 11.297657, 71.840271], [62.245707, 67.471814, 81.031720, 86.637486, 400.061671], [52.330876, 62.967184, 74.867176, 78.955897, 335.853989]]
### 8
mean: [-1.321059, -1.100769, -1.448763, 8.140296, -0.042107, 7.950840, -1.514422]
std: [2.320919, 2.262530, 1.177207, 8.285098, 0.255948, 7.840048, 1.890611]
pca: [[-0.188249, 0.539505, -0.520712, -0.080399, 0.337861, -0.530776, -0.004220, 0.000000, 0.000000, 0.000000], [-0.182040, 0.615736, -0.037417, 0.265966, -0.043903, 0.661101, -0.276786, 0.000000, 0.000000, 0.000000], [-0.097126, -0.130748, 0.261873, 0.561535, 0.734726, 0.025506, 0.221583, 0.000000, 0.000000, 0.000000], [0.688434, 0.211575, -0.260015, 0.318247, -0.182296, 0.057552, 0.525225, 0.000000, 0.000000, 0.000000], [0.020705, 0.000716, 0.117766, 0.650719, -0.385695, -0.462676, -0.446583, 0.000000, 0.000000, 0.000000], [0.651452, 0.196864, 0.311325, -0.253853, 0.355652, -0.067599, -0.494401, 0.000000, 0.000000, 0.000000], [-0.152414, 0.478736, 0.693168, -0.135345, -0.188729, -0.242116, 0.393119, 0.000000, 0.000000, 0.000000]]
fourier: [[36.045189, 39.373389, 46.775933, 46.900021, 118.895272], [36.511977, 37.906272, 44.648550, 45.906723, 99.069189], [17.415475, 19.961704, 23.934540, 24.997631, 130.388648], [119.587602, 139.741433, 170.814312, 176.371799, 732.626597], [3.654339, 3.789605, 4.249650, 5.252972, 5.899575], [112.181575, 132.287079, 160.596972, 166.344807, 715.575619], [30.887504, 31.394543, 37.688952, 39.847981, 136.297966]]
### 10
mean: [-8.008141]
std: [8.743976]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[125.605370, 146.069886, 182.707779, 186.112166, 720.732653]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.473495,
0.239572,
0.506463
],
[
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0.674704
],
[
-0.835048,
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-0.036137,
0.759358
],
[
0.309445,
-0.122045,
-0.078158,
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],
[
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0.236688,
-0.22018
],
[
-0.13727,
-0.188252,
0.54154,
0.345215,
-0.383587
],
[
-0.790168,
0.052401,
0.072849,
0.034177,
0.234105
]
],
"network.0.bias": [
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0.437493,
0.511252,
0.576315,
-0.022525,
0.279417,
0.348839
],
"network.2.weight": [
[
-0.513751,
-0.520381,
-0.421798,
0.138167,
0.555362,
-0.38761,
0.334055
],
[
0.354182,
0.171534,
0.699291,
0.255816,
0.079727,
-0.211203,
0.481721
],
[
0.531022,
0.115729,
0.25511,
0.331892,
-0.174622,
0.401765,
0.540849
],
[
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-0.23222,
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0.140243,
0.401364,
-0.537036
],
[
-0.221502,
0.464145,
-0.5674,
0.024813,
0.038441,
0.421346,
-0.566244
],
[
0.440707,
0.3191,
0.136785,
0.64928,
0.391342,
-0.210541,
0.276901
],
[
0.326693,
0.26732,
0.256478,
0.735809,
-0.474576,
0.179213,
0.398446
]
],
"network.2.bias": [
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-0.012278,
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0.11961
],
"network.4.weight": [
[
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[
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0.025593,
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],
[
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],
[
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[
0.480809,
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0.228048,
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0.411773,
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],
[
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[
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]
],
"network.4.bias": [
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"network.6.weight": [
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[
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[
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0.171592,
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],
[
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0.152711,
0.204009,
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],
[
0.446427,
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0.244111,
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[
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[
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0.457132,
-0.491089
]
],
"network.6.bias": [
-0.086707,
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0.198283,
0.533336,
-0.168999,
0.193271
],
"network.8.weight": [
[
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0.251316,
-0.377479
],
[
0.486262,
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0.384783,
0.157348,
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],
[
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],
[
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],
[
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],
[
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],
[
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0.067176,
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]
],
"network.8.bias": [
0.143301,
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],
"network.10.weight": [
[
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-0.132925,
-0.381229,
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]
],
"network.10.bias": [
0.374506
]
}
## Activation Signature
### 0
mean: [1.189266, 1.602529, 0.626220, 1.531415, 1.235540, 1.163975, -0.024803]
std: [1.607041, 1.793030, 1.942436, 1.514338, 1.566040, 1.229327, 1.533827]
pca: [[0.352544, 0.358267, 0.506663, -0.346993, -0.334730, -0.222239, -0.456960, 0.000000, 0.000000, 0.000000], [0.461453, 0.196860, -0.154491, 0.816283, -0.094434, -0.185725, -0.121287, 0.000000, 0.000000, 0.000000], [0.588862, 0.023457, -0.048578, -0.224024, 0.746313, 0.200300, -0.055152, 0.000000, 0.000000, 0.000000], [0.097857, 0.710757, -0.214463, -0.186407, -0.126993, 0.013305, 0.623059, 0.000000, 0.000000, 0.000000], [-0.357586, 0.455037, 0.268612, 0.270545, 0.173236, 0.646439, -0.268017, 0.000000, 0.000000, 0.000000], [0.004686, -0.120969, 0.769527, 0.233969, 0.204333, -0.170168, 0.517419, 0.000000, 0.000000, 0.000000], [0.422551, -0.324767, 0.082140, -0.020209, -0.483906, 0.654965, 0.213724, 0.000000, 0.000000, 0.000000]]
fourier: [[25.244939, 26.965418, 29.563305, 33.475924, 107.033961], [26.599811, 28.331397, 29.481384, 33.860861, 144.227588], [30.873519, 31.340971, 32.938421, 33.470616, 56.359795], [24.385282, 25.059327, 32.183292, 33.535732, 137.827345], [25.634624, 28.009056, 30.150907, 32.885154, 111.198618], [18.442064, 20.995162, 21.774860, 23.108812, 104.757734], [25.394954, 26.775050, 28.384859, 29.236326, 31.155226]]
### 2
mean: [-0.958244, 2.177995, 2.349911, -0.602845, 0.182665, 2.800301, 2.108801]
std: [2.148044, 1.998369, 1.831017, 1.503215, 0.950944, 2.130883, 2.210512]
pca: [[-0.395648, 0.709534, -0.086919, -0.195197, 0.063173, 0.516764, 0.152750, 0.000000, 0.000000, 0.000000], [0.441733, 0.151086, -0.156102, -0.078765, -0.559273, -0.052056, 0.660285, 0.000000, 0.000000, 0.000000], [0.388043, -0.165194, 0.409428, -0.387688, -0.246736, 0.575484, -0.334873, 0.000000, 0.000000, 0.000000], [-0.284124, -0.082287, 0.660482, -0.443655, 0.144209, -0.300046, 0.410626, 0.000000, 0.000000, 0.000000], [-0.131887, -0.070627, 0.479703, 0.762637, -0.130669, 0.314833, 0.222920, 0.000000, 0.000000, 0.000000], [0.394332, 0.658669, 0.364544, 0.159217, 0.036008, -0.393806, -0.309896, 0.000000, 0.000000, 0.000000], [0.494104, -0.029023, -0.034680, 0.039969, 0.763660, 0.234164, 0.337947, 0.000000, 0.000000, 0.000000]]
fourier: [[36.082167, 36.654309, 39.588798, 43.703164, 86.241979], [32.636418, 33.507027, 34.946972, 40.129964, 196.019534], [28.709624, 29.511590, 30.157240, 32.528528, 211.491992], [25.609592, 26.743937, 27.859660, 28.555424, 54.256092], [14.284797, 14.349713, 14.514298, 15.399396, 16.439878], [33.238830, 35.388609, 44.706058, 47.635241, 252.027038], [34.252950, 36.578818, 37.947908, 43.298685, 189.792106]]
### 4
mean: [0.617964, -0.956192, 3.050925, 4.572631, -1.504810, -2.866242, 0.159123]
std: [0.502458, 0.715529, 3.141369, 3.758048, 2.083055, 3.068237, 1.005174]
pca: [[0.037534, -0.135949, 0.412739, 0.241486, 0.822947, 0.266368, -0.056979, 0.000000, 0.000000, 0.000000], [-0.091464, -0.056980, -0.294373, 0.921880, -0.055633, -0.208158, 0.073792, 0.000000, 0.000000, 0.000000], [0.523192, 0.100873, -0.355445, -0.053627, 0.166131, 0.216970, 0.715683, 0.000000, 0.000000, 0.000000], [0.605398, 0.569114, 0.368879, 0.155259, -0.078321, -0.311281, -0.215396, 0.000000, 0.000000, 0.000000], [-0.291325, 0.658523, -0.116356, 0.127424, -0.077698, 0.658508, -0.109688, 0.000000, 0.000000, 0.000000], [-0.497562, 0.444009, 0.046914, -0.138918, 0.311125, -0.525446, 0.401121, 0.000000, 0.000000, 0.000000], [-0.132481, -0.115795, 0.681790, 0.171191, -0.427895, 0.178943, 0.509687, 0.000000, 0.000000, 0.000000]]
fourier: [[7.727936, 8.371947, 8.436747, 8.825335, 55.616772], [10.372953, 11.893309, 13.666524, 14.568907, 86.057316], [48.331150, 52.886995, 57.496467, 65.192331, 274.583262], [57.463105, 61.959145, 75.784435, 81.978317, 411.536813], [34.018916, 36.632115, 36.697414, 37.660328, 135.432896], [48.933068, 52.651980, 53.934044, 57.150706, 257.961790], [15.580069, 15.753876, 16.730650, 16.847724, 17.544956]]
### 6
mean: [1.399939, -0.104210, 2.876203, 3.927150, 0.798225, 4.445129, 3.731711]
std: [1.233402, 0.731224, 2.808621, 3.673739, 0.514430, 4.058708, 3.717021]
pca: [[0.142110, 0.708709, -0.367581, 0.005173, -0.431284, 0.394480, -0.027798, 0.000000, 0.000000, 0.000000], [-0.081510, 0.444889, -0.076267, 0.615147, 0.607486, -0.177617, 0.103057, 0.000000, 0.000000, 0.000000], [0.385136, -0.134005, 0.338681, 0.231463, 0.221153, 0.622629, -0.478391, 0.000000, 0.000000, 0.000000], [0.504609, -0.116097, 0.117907, 0.539179, -0.501910, -0.418717, 0.006123, 0.000000, 0.000000, 0.000000], [-0.036965, 0.287581, 0.769768, -0.065255, -0.103126, 0.139922, 0.537511, 0.000000, 0.000000, 0.000000], [0.556118, 0.341770, 0.115683, -0.520218, 0.283507, -0.404833, -0.213657, 0.000000, 0.000000, 0.000000], [0.509477, -0.262411, -0.352897, -0.048919, 0.230481, 0.257641, 0.652031, 0.000000, 0.000000, 0.000000]]
fourier: [[18.513308, 19.802517, 21.563866, 24.072833, 125.994524], [10.592329, 11.352635, 12.651300, 13.558934, 13.605565], [41.018584, 46.986935, 59.035984, 60.519406, 258.858313], [52.035646, 62.005014, 75.726975, 79.745369, 353.443561], [7.842612, 9.154101, 9.457751, 11.297657, 71.840271], [62.245707, 67.471814, 81.031720, 86.637486, 400.061671], [52.330876, 62.967184, 74.867176, 78.955897, 335.853989]]
### 8
mean: [-1.321059, -1.100769, -1.448763, 8.140296, -0.042107, 7.950840, -1.514422]
std: [2.320919, 2.262530, 1.177207, 8.285098, 0.255948, 7.840048, 1.890611]
pca: [[-0.188249, 0.539505, -0.520712, -0.080399, 0.337861, -0.530776, -0.004220, 0.000000, 0.000000, 0.000000], [-0.182040, 0.615736, -0.037417, 0.265966, -0.043903, 0.661101, -0.276786, 0.000000, 0.000000, 0.000000], [-0.097126, -0.130748, 0.261873, 0.561535, 0.734726, 0.025506, 0.221583, 0.000000, 0.000000, 0.000000], [0.688434, 0.211575, -0.260015, 0.318247, -0.182296, 0.057552, 0.525225, 0.000000, 0.000000, 0.000000], [0.020705, 0.000716, 0.117766, 0.650719, -0.385695, -0.462676, -0.446583, 0.000000, 0.000000, 0.000000], [0.651452, 0.196864, 0.311325, -0.253853, 0.355652, -0.067599, -0.494401, 0.000000, 0.000000, 0.000000], [-0.152414, 0.478736, 0.693168, -0.135345, -0.188729, -0.242116, 0.393119, 0.000000, 0.000000, 0.000000]]
fourier: [[36.045189, 39.373389, 46.775933, 46.900021, 118.895272], [36.511977, 37.906272, 44.648550, 45.906723, 99.069189], [17.415475, 19.961704, 23.934540, 24.997631, 130.388648], [119.587602, 139.741433, 170.814312, 176.371799, 732.626597], [3.654339, 3.789605, 4.249650, 5.252972, 5.899575], [112.181575, 132.287079, 160.596972, 166.344807, 715.575619], [30.887504, 31.394543, 37.688952, 39.847981, 136.297966]]
### 10
mean: [-8.008141]
std: [8.743976]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[125.605370, 146.069886, 182.707779, 186.112166, 720.732653]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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186.11216603972218, 720.7326530218124]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.305883, -0.372455, 0.473495, 0.239572, 0.506463], [-0.532621, 0.357195, -0.147958, 0.304927, 0.674704], [-0.835048, 0.061708, 0.087436, -0.036137, 0.759358], [0.309445, -0.122045, -0.078158, 0.035273, 0.713536], [0.758643, -0.14468, 0.163534, 0.236688, -0.22018], [-0.13727, -0.188252, 0.54154, 0.345215, -0.383587], [-0.790168, 0.052401, 0.072849, 0.034177, 0.234105]], "network.0.bias": [0.121149, 0.437493, 0.511252, 0.576315, -0.022525, 0.279417, 0.348839], "network.2.weight": [[-0.513751, -0.520381, -0.421798, 0.138167, 0.555362, -0.38761, 0.334055], [0.354182, 0.171534, 0.699291, 0.255816, 0.079727, -0.211203, 0.481721], [0.531022, 0.115729, 0.25511, 0.331892, -0.174622, 0.401765, 0.540849], [0.127168, -0.23222, -0.416178, -0.241314, 0.140243, 0.401364, -0.537036], [-0.221502, 0.464145, -0.5674, 0.024813, 0.038441, 0.421346, -0.566244], [0.440707, 0.3191, 0.136785, 0.64928, 0.391342, -0.210541, 0.276901], [0.326693, 0.26732, 0.256478, 0.735809, -0.474576, 0.179213, 0.398446]], "network.2.bias": [0.37697, 0.307062, 0.247181, -0.012278, -0.036463, 0.264844, 0.11961], "network.4.weight": [[-0.356793, -0.097271, -0.047637, 0.395749, 0.419862, 0.146893, 0.103595], [-0.32274, -0.020819, -0.41917, -0.441206, 0.025593, 0.00696, 0.043983], [0.266142, 0.679469, 0.077637, -0.357978, -0.491672, 0.064985, 0.661691], [0.596281, 0.492619, 0.347423, -0.500615, -0.058099, 0.740056, 0.32063], [0.480809, -0.220694, -0.482635, 0.228048, -0.325838, 0.411773, -0.52266], [0.386756, -0.313212, -0.435575, 0.50021, 0.144918, 0.101324, -0.736987], [-0.369073, -0.431036, 0.352117, 0.046836, 0.529548, 0.260029, -0.471184]], "network.4.bias": [0.247826, 0.097155, 0.024806, -0.081796, -0.073179, -0.220767, 0.46322], "network.6.weight": [[-0.051721, -0.239622, 0.03313, 0.289948, -0.602676, -0.032797, 0.61064], [0.440146, -0.185006, -0.375104, 0.13793, -0.587765, -0.077205, -0.041091], [-0.111305, -0.625163, 0.239861, 0.520422, 0.31546, 0.171592, -0.513418], [-0.42333, 0.046377, 0.282376, 0.72064, 0.152711, 0.204009, -0.606444], [0.446427, -0.150772, -0.383869, 0.244111, -0.040913, -0.04317, 0.201419], [0.112228, -0.355222, 0.610578, 0.571283, 0.365803, 0.113661, 0.035596], [-0.485394, -0.075776, 0.742078, 0.357296, 0.349014, 0.457132, -0.491089]], "network.6.bias": [-0.086707, 0.300397, -0.114002, 0.198283, 0.533336, -0.168999, 0.193271], "network.8.weight": [[0.182349, 0.389261, -0.359519, -0.226676, 0.658352, 0.251316, -0.377479], [0.486262, 0.402159, -0.075601, -0.285129, 0.384783, 0.157348, -0.515736], [-0.055898, -0.396226, -0.475408, 0.14329, -0.020168, 0.049105, -0.151472], [-0.034502, -0.400232, 0.543115, 0.790753, -0.161549, 0.405572, 0.570061], [0.096084, 0.024108, -0.029136, 0.355114, -0.121663, -0.117721, -0.169123], [-0.036804, -0.487759, 0.302844, 0.513405, -0.271381, 0.573746, 0.715118], [0.51117, 0.315726, -0.345216, -0.224367, 0.178532, 0.067176, -0.199858]], "network.8.bias": [0.143301, 0.496642, -0.1807, -0.175824, -0.243523, 0.202124, -0.051812], "network.10.weight": [[0.278995, 0.373656, -0.01729, -0.674522, -0.132925, -0.381229, 0.213928]], "network.10.bias": [0.374506]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6986468136310577, "train_acc": 0.43, "val_loss": 0.6914528012275696, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6880378127098083, "train_acc": 0.56, "val_loss": 0.6870518326759338, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6764894127845764, "train_acc": 0.57, "val_loss": 0.6842169165611267, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6727209985256195, "train_acc": 0.57, "val_loss": 0.6771785616874695, "val_acc": 0.52}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6506381928920746, "train_acc": 0.57, "val_loss": 0.641579806804657, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6468820571899414, "train_acc": 0.495, "val_loss": 0.5910112857818604, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5903438925743103, "train_acc": 0.495, "val_loss": 0.5418111085891724, "val_acc": 0.66}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.546174019575119, "train_acc": 0.71, "val_loss": 0.4948727488517761, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.49132198095321655, "train_acc": 0.795, "val_loss": 0.46445533633232117, "val_acc": 0.7}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.45848293602466583, "train_acc": 0.755, "val_loss": 0.397359162569046, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.3971163332462311, "train_acc": 0.86, "val_loss": 0.3641100823879242, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.3452064096927643, "train_acc": 0.895, "val_loss": 0.2869102358818054, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.2839972972869873, "train_acc": 0.92, "val_loss": 0.21018844842910767, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.20903263986110687, "train_acc": 0.975, "val_loss": 0.155136838555336, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.1528783217072487, "train_acc": 0.985, "val_loss": 0.050031594932079315, "val_acc": 1.0}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6914528012275696, "final_val_loss": 0.641579806804657, "initial_val_acc": 0.48, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5910112857818604, "final_val_loss": 0.050031594932079315, "initial_val_acc": 0.52, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 14}, "improvement": 0.48, "first_improvement_epoch": 4}}
|
106
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.6, "improved_accuracy": 0.88, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6794, "learning_rate": 0.06930333297458471, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.12.weight": [
[
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],
"network.12.bias": [
0.0728
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}
## Activation Signature
### 0
mean: [0.600341, -0.256395, -0.345157, 1.074085, 1.663168, -2.177099, 2.351797, -1.128030]
std: [1.811662, 1.739797, 1.603543, 1.726574, 2.674992, 1.349602, 1.626295, 1.538007]
pca: [[-0.322729, 0.535285, -0.005407, -0.160020, 0.458880, -0.159741, -0.305621, 0.504171, 0.000000, 0.000000], [0.283696, -0.376567, 0.599296, -0.188165, -0.040660, 0.152371, -0.025348, 0.598029, 0.000000, 0.000000], [0.346549, -0.216527, 0.142140, 0.384718, 0.495400, -0.165248, -0.564823, -0.270289, 0.000000, 0.000000], [0.392534, 0.144651, -0.361773, 0.106713, 0.347375, 0.708665, 0.191563, 0.152165, 0.000000, 0.000000], [0.632890, 0.288477, -0.318190, -0.073807, -0.440597, -0.324553, -0.249025, 0.219237, 0.000000, 0.000000], [0.037937, -0.480551, -0.448862, -0.046045, 0.347386, -0.476025, 0.375275, 0.275546, 0.000000, 0.000000], [0.253616, 0.425383, 0.413681, 0.367939, 0.147662, -0.292317, 0.582407, -0.042041, 0.000000, 0.000000], [-0.273630, -0.093602, -0.126004, 0.797901, -0.291683, 0.066100, -0.090500, 0.407682, 0.000000, 0.000000]]
fourier: [[28.099126, 29.887630, 34.180829, 34.623346, 54.030701], [25.835053, 28.708278, 29.116929, 30.725840, 41.624091], [28.262164, 28.556939, 29.822186, 30.444403, 31.064151], [28.091321, 28.159448, 29.597624, 30.723911, 96.667681], [40.580073, 42.686733, 45.661284, 51.438432, 149.685153], [21.967853, 23.021421, 23.504501, 23.975423, 195.938942], [24.780621, 26.872006, 30.613592, 32.642214, 211.661761], [24.892105, 25.551694, 26.661992, 33.340070, 101.522690]]
### 2
mean: [-1.589018, -1.349913, -1.103197, -1.784320, -1.047648, -0.988409, 2.646255, -3.009955]
std: [1.175412, 1.441225, 1.313773, 1.335203, 1.610038, 2.161671, 4.140499, 2.552455]
pca: [[0.102565, 0.453657, 0.064418, 0.198797, -0.387349, -0.322055, 0.333028, 0.612650, 0.000000, 0.000000], [0.198979, 0.364679, 0.672491, 0.015681, 0.214395, 0.442932, -0.324546, 0.165660, 0.000000, 0.000000], [0.160668, 0.417080, -0.175186, 0.113068, -0.230051, 0.486820, 0.467907, -0.497896, 0.000000, 0.000000], [0.098883, 0.537394, -0.164570, -0.464023, -0.154434, -0.373568, -0.459318, -0.290951, 0.000000, 0.000000], [-0.279943, 0.012735, 0.193602, 0.702712, -0.352285, -0.171836, -0.357673, -0.329578, 0.000000, 0.000000], [-0.376727, -0.060148, -0.268626, -0.205495, -0.506479, 0.525974, -0.313739, 0.329346, 0.000000, 0.000000], [0.723568, -0.113794, -0.440912, 0.335571, 0.004053, 0.112930, -0.347540, 0.151447, 0.000000, 0.000000], [-0.412861, 0.426294, -0.426366, 0.288950, 0.588711, 0.067935, -0.081889, 0.156963, 0.000000, 0.000000]]
fourier: [[17.326057, 17.397806, 19.524077, 22.991887, 143.011620], [20.919882, 21.354850, 25.805723, 29.254811, 121.492188], [19.348522, 20.169980, 20.182041, 24.407190, 99.287750], [18.034743, 20.084506, 20.540116, 23.812283, 160.588828], [25.689022, 26.376732, 27.807046, 29.355366, 94.288336], [33.770733, 35.534905, 37.518679, 37.621393, 88.956800], [68.846699, 70.551772, 72.635053, 72.790053, 238.162963], [41.933958, 43.006850, 43.196797, 49.109464, 270.895942]]
### 4
mean: [-1.059655, -0.373075, 0.713438, 1.815941, -1.035433, -0.399880, -1.070728, 2.255481]
std: [1.250254, 1.346364, 0.981564, 1.741935, 0.999561, 1.374562, 1.283282, 2.574888]
pca: [[-0.291988, -0.031961, 0.422571, -0.096233, -0.362565, 0.232095, 0.686075, -0.264336, 0.000000, 0.000000], [-0.314772, -0.040139, 0.368924, -0.090971, 0.633280, 0.354762, 0.022603, 0.476986, 0.000000, 0.000000], [0.226187, -0.053256, 0.679786, -0.193017, 0.216391, -0.319535, -0.304087, -0.453037, 0.000000, 0.000000], [0.402116, 0.571451, 0.174754, -0.416720, -0.317543, 0.327968, -0.138045, 0.283016, 0.000000, 0.000000], [-0.233118, -0.180793, 0.095657, 0.277195, -0.277228, 0.603032, -0.572000, -0.243509, 0.000000, 0.000000], [-0.306977, 0.792578, -0.053615, 0.329633, 0.243220, -0.040589, 0.002808, -0.324409, 0.000000, 0.000000], [-0.299807, 0.080916, 0.365536, 0.326095, -0.418286, -0.460651, -0.177796, 0.494813, 0.000000, 0.000000], [0.603606, -0.023682, 0.216886, 0.692617, 0.094184, 0.181978, 0.241789, 0.088834, 0.000000, 0.000000]]
fourier: [[20.507234, 20.833166, 22.328306, 22.452861, 95.368941], [22.307502, 22.863766, 23.678750, 23.836898, 33.576764], [16.109118, 16.560678, 17.165933, 17.223350, 64.209422], [27.466204, 28.043955, 31.111528, 32.787644, 163.434724], [16.283831, 16.356642, 18.053146, 18.796320, 93.188994], [23.546816, 24.326085, 25.049131, 26.973530, 35.989212], [21.417741, 21.555887, 21.990591, 22.820437, 96.365506], [42.799375, 43.262359, 44.271425, 45.250680, 202.993317]]
### 6
mean: [3.495440, -1.731491, 3.255137, -1.317326, -1.658494, -2.464186, -0.293453, -1.172935]
std: [3.363762, 1.565822, 3.292435, 1.118531, 1.613684, 1.957421, 0.331074, 1.417729]
pca: [[0.574849, 0.238913, 0.250994, -0.059405, 0.158824, 0.197382, 0.692423, -0.048035, 0.000000, 0.000000], [-0.266894, 0.196977, 0.190185, 0.849956, 0.115819, -0.264164, 0.210615, 0.061787, 0.000000, 0.000000], [0.562721, 0.216100, 0.118825, 0.066445, 0.223659, -0.309169, -0.510329, 0.460508, 0.000000, 0.000000], [-0.190086, -0.252895, 0.403522, -0.136424, 0.803758, 0.051363, -0.127946, -0.231159, 0.000000, 0.000000], [-0.275516, 0.007447, 0.507443, -0.419323, -0.238011, -0.552131, 0.236980, 0.270274, 0.000000, 0.000000], [-0.328744, 0.877163, -0.087972, -0.237876, 0.163515, 0.139130, -0.098772, -0.048354, 0.000000, 0.000000], [-0.054303, 0.021455, 0.628091, 0.128698, -0.336192, 0.614199, -0.266071, 0.156429, 0.000000, 0.000000], [-0.242070, -0.153412, -0.253271, -0.045165, 0.262486, 0.302635, 0.250353, 0.792791, 0.000000, 0.000000]]
fourier: [[53.641119, 54.227601, 60.197613, 61.803672, 314.589608], [25.704538, 26.054836, 27.677667, 27.732823, 155.834171], [52.603907, 53.167002, 58.922491, 60.430766, 292.962358], [17.461471, 17.899568, 20.326727, 20.777608, 118.559340], [26.179668, 26.194785, 28.692174, 28.987906, 149.264418], [32.916578, 32.927206, 34.136494, 35.189303, 221.776703], [5.390628, 5.641621, 5.710618, 6.321495, 26.410778], [22.566466, 22.760380, 25.435231, 26.179014, 105.564111]]
### 8
mean: [-1.397893, 1.076357, -3.983673, 5.891889, 0.114363, -1.011621, -0.203365, -2.204100]
std: [1.485540, 1.318038, 3.619784, 5.879734, 0.099561, 1.163726, 0.506277, 2.574632]
pca: [[-0.191938, -0.291339, 0.292237, 0.663629, 0.108604, 0.358797, -0.351158, -0.297715, 0.000000, 0.000000], [0.170350, 0.006520, 0.624733, -0.366854, 0.209696, 0.513748, 0.002759, 0.371682, 0.000000, 0.000000], [-0.467839, 0.461127, -0.055946, 0.250473, 0.300054, 0.236829, 0.595261, 0.046533, 0.000000, 0.000000], [0.760028, 0.413942, -0.195819, 0.303404, -0.072040, 0.313567, 0.051551, -0.120158, 0.000000, 0.000000], [0.010935, 0.335672, -0.123250, -0.058868, 0.737256, -0.221633, -0.524240, 0.032449, 0.000000, 0.000000], [-0.150394, -0.113325, -0.508937, 0.151394, -0.135370, 0.329217, -0.259338, 0.699026, 0.000000, 0.000000], [-0.064756, 0.458941, 0.449882, 0.332677, -0.374236, -0.405305, -0.182877, 0.366529, 0.000000, 0.000000], [-0.332705, 0.441529, -0.078932, -0.364916, -0.383518, 0.362130, -0.379683, -0.364118, 0.000000, 0.000000]]
fourier: [[23.631756, 23.764221, 26.977053, 27.330120, 125.810364], [20.738057, 21.476432, 23.740101, 24.063505, 96.872119], [56.743340, 59.302256, 64.950543, 65.173593, 358.530549], [92.732901, 94.981890, 106.583988, 107.415096, 530.269885], [1.715509, 1.874801, 1.882698, 2.097841, 10.292674], [18.328990, 18.835859, 21.026764, 21.403772, 91.045898], [8.280244, 8.350184, 8.570357, 8.811691, 18.302870], [40.305531, 42.355460, 46.068797, 46.256236, 198.369029]]
### 10
mean: [1.914865, -0.656671, 2.821395, 4.414071, 1.835981, -2.093936, -1.316610, 3.902010]
std: [2.106411, 0.602549, 2.581019, 4.176669, 1.988566, 2.433988, 0.643221, 3.661623]
pca: [[0.290332, 0.369488, -0.126363, 0.537339, -0.199066, 0.363931, 0.105545, -0.539697, 0.000000, 0.000000], [-0.083083, 0.062654, 0.259344, 0.254832, 0.452313, 0.101327, 0.763883, 0.242077, 0.000000, 0.000000], [0.356005, 0.081173, 0.787513, 0.066322, -0.252778, -0.415907, -0.032062, -0.064758, 0.000000, 0.000000], [0.576144, 0.011748, 0.120936, -0.521064, 0.032216, 0.592386, 0.043880, 0.167038, 0.000000, 0.000000], [0.273635, 0.610636, -0.260150, 0.183989, 0.054434, -0.222354, -0.187127, 0.602741, 0.000000, 0.000000], [-0.335248, 0.584350, 0.264686, -0.312141, 0.456546, 0.070306, -0.247597, -0.322448, 0.000000, 0.000000], [-0.088320, -0.264362, 0.319542, 0.485479, 0.246682, 0.406840, -0.540089, 0.257775, 0.000000, 0.000000], [0.505030, -0.261912, -0.205250, 0.058710, 0.646994, -0.336874, -0.119888, -0.290368, 0.000000, 0.000000]]
fourier: [[33.196395, 35.077018, 39.477651, 39.541813, 172.337814], [9.517068, 9.729238, 10.953991, 10.958728, 59.100437], [41.195195, 41.599920, 47.554518, 47.643312, 253.925574], [66.823271, 67.138006, 76.822117, 76.873332, 397.266388], [30.877391, 33.886598, 37.632798, 37.732972, 165.238292], [38.084780, 39.859343, 43.711781, 43.760465, 188.454242], [9.864376, 11.160485, 12.223767, 12.244319, 118.494848], [58.005410, 59.015915, 66.943039, 66.985809, 351.180924]]
### 12
mean: [-4.550352]
std: [4.406120]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[70.346134, 71.129663, 81.227736, 81.847232, 409.531716]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.20881,
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],
[
-0.175313,
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-0.177539,
0.163744,
0.236821,
0.312838,
0.266298,
-0.132986
],
[
-0.106387,
0.089631,
-0.039049,
-0.0369,
-0.411086,
-0.37284,
-0.519627,
-0.235886
],
[
-0.385773,
-0.031162,
-0.373632,
-0.088456,
-0.405322,
0.076639,
0.211956,
-0.324556
]
],
"network.8.bias": [
0.096841,
-0.357689,
-0.448619,
-0.05581,
-0.011996,
0.237718,
0.174166,
0.2891
],
"network.10.weight": [
[
-0.513691,
0.277912,
0.763009,
0.287876,
0.221892,
-0.37314,
-0.152213,
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],
[
0.160348,
0.087791,
0.183198,
-0.126866,
0.127032,
-0.108543,
-0.13541,
-0.033145
],
[
-0.549897,
-0.266722,
0.111256,
0.498962,
-0.410993,
-0.230417,
-0.179018,
0.191397
],
[
-0.363449,
-0.265769,
-0.303238,
0.77081,
0.238264,
-0.419692,
0.031971,
-0.133851
],
[
-0.71972,
0.030241,
0.507595,
0.327272,
0.01001,
-0.45525,
-0.173383,
-0.858069
],
[
-0.277111,
-0.428809,
-0.148474,
-0.324743,
0.416678,
0.363169,
-0.433962,
-0.369464
],
[
0.18716,
0.314856,
0.405046,
-0.189101,
0.502797,
0.263851,
-0.061248,
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],
[
0.089976,
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0.567721,
0.110171,
-0.606866,
0.342867,
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]
],
"network.10.bias": [
-0.121218,
0.001904,
0.15281,
0.068367,
-0.206565,
0.202523,
-0.491801,
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],
"network.12.weight": [
[
0.121219,
0.137382,
-0.131039,
-0.620917,
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0.26216,
0.144759,
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]
],
"network.12.bias": [
0.0728
]
}
## Activation Signature
### 0
mean: [0.600341, -0.256395, -0.345157, 1.074085, 1.663168, -2.177099, 2.351797, -1.128030]
std: [1.811662, 1.739797, 1.603543, 1.726574, 2.674992, 1.349602, 1.626295, 1.538007]
pca: [[-0.322729, 0.535285, -0.005407, -0.160020, 0.458880, -0.159741, -0.305621, 0.504171, 0.000000, 0.000000], [0.283696, -0.376567, 0.599296, -0.188165, -0.040660, 0.152371, -0.025348, 0.598029, 0.000000, 0.000000], [0.346549, -0.216527, 0.142140, 0.384718, 0.495400, -0.165248, -0.564823, -0.270289, 0.000000, 0.000000], [0.392534, 0.144651, -0.361773, 0.106713, 0.347375, 0.708665, 0.191563, 0.152165, 0.000000, 0.000000], [0.632890, 0.288477, -0.318190, -0.073807, -0.440597, -0.324553, -0.249025, 0.219237, 0.000000, 0.000000], [0.037937, -0.480551, -0.448862, -0.046045, 0.347386, -0.476025, 0.375275, 0.275546, 0.000000, 0.000000], [0.253616, 0.425383, 0.413681, 0.367939, 0.147662, -0.292317, 0.582407, -0.042041, 0.000000, 0.000000], [-0.273630, -0.093602, -0.126004, 0.797901, -0.291683, 0.066100, -0.090500, 0.407682, 0.000000, 0.000000]]
fourier: [[28.099126, 29.887630, 34.180829, 34.623346, 54.030701], [25.835053, 28.708278, 29.116929, 30.725840, 41.624091], [28.262164, 28.556939, 29.822186, 30.444403, 31.064151], [28.091321, 28.159448, 29.597624, 30.723911, 96.667681], [40.580073, 42.686733, 45.661284, 51.438432, 149.685153], [21.967853, 23.021421, 23.504501, 23.975423, 195.938942], [24.780621, 26.872006, 30.613592, 32.642214, 211.661761], [24.892105, 25.551694, 26.661992, 33.340070, 101.522690]]
### 2
mean: [-1.589018, -1.349913, -1.103197, -1.784320, -1.047648, -0.988409, 2.646255, -3.009955]
std: [1.175412, 1.441225, 1.313773, 1.335203, 1.610038, 2.161671, 4.140499, 2.552455]
pca: [[0.102565, 0.453657, 0.064418, 0.198797, -0.387349, -0.322055, 0.333028, 0.612650, 0.000000, 0.000000], [0.198979, 0.364679, 0.672491, 0.015681, 0.214395, 0.442932, -0.324546, 0.165660, 0.000000, 0.000000], [0.160668, 0.417080, -0.175186, 0.113068, -0.230051, 0.486820, 0.467907, -0.497896, 0.000000, 0.000000], [0.098883, 0.537394, -0.164570, -0.464023, -0.154434, -0.373568, -0.459318, -0.290951, 0.000000, 0.000000], [-0.279943, 0.012735, 0.193602, 0.702712, -0.352285, -0.171836, -0.357673, -0.329578, 0.000000, 0.000000], [-0.376727, -0.060148, -0.268626, -0.205495, -0.506479, 0.525974, -0.313739, 0.329346, 0.000000, 0.000000], [0.723568, -0.113794, -0.440912, 0.335571, 0.004053, 0.112930, -0.347540, 0.151447, 0.000000, 0.000000], [-0.412861, 0.426294, -0.426366, 0.288950, 0.588711, 0.067935, -0.081889, 0.156963, 0.000000, 0.000000]]
fourier: [[17.326057, 17.397806, 19.524077, 22.991887, 143.011620], [20.919882, 21.354850, 25.805723, 29.254811, 121.492188], [19.348522, 20.169980, 20.182041, 24.407190, 99.287750], [18.034743, 20.084506, 20.540116, 23.812283, 160.588828], [25.689022, 26.376732, 27.807046, 29.355366, 94.288336], [33.770733, 35.534905, 37.518679, 37.621393, 88.956800], [68.846699, 70.551772, 72.635053, 72.790053, 238.162963], [41.933958, 43.006850, 43.196797, 49.109464, 270.895942]]
### 4
mean: [-1.059655, -0.373075, 0.713438, 1.815941, -1.035433, -0.399880, -1.070728, 2.255481]
std: [1.250254, 1.346364, 0.981564, 1.741935, 0.999561, 1.374562, 1.283282, 2.574888]
pca: [[-0.291988, -0.031961, 0.422571, -0.096233, -0.362565, 0.232095, 0.686075, -0.264336, 0.000000, 0.000000], [-0.314772, -0.040139, 0.368924, -0.090971, 0.633280, 0.354762, 0.022603, 0.476986, 0.000000, 0.000000], [0.226187, -0.053256, 0.679786, -0.193017, 0.216391, -0.319535, -0.304087, -0.453037, 0.000000, 0.000000], [0.402116, 0.571451, 0.174754, -0.416720, -0.317543, 0.327968, -0.138045, 0.283016, 0.000000, 0.000000], [-0.233118, -0.180793, 0.095657, 0.277195, -0.277228, 0.603032, -0.572000, -0.243509, 0.000000, 0.000000], [-0.306977, 0.792578, -0.053615, 0.329633, 0.243220, -0.040589, 0.002808, -0.324409, 0.000000, 0.000000], [-0.299807, 0.080916, 0.365536, 0.326095, -0.418286, -0.460651, -0.177796, 0.494813, 0.000000, 0.000000], [0.603606, -0.023682, 0.216886, 0.692617, 0.094184, 0.181978, 0.241789, 0.088834, 0.000000, 0.000000]]
fourier: [[20.507234, 20.833166, 22.328306, 22.452861, 95.368941], [22.307502, 22.863766, 23.678750, 23.836898, 33.576764], [16.109118, 16.560678, 17.165933, 17.223350, 64.209422], [27.466204, 28.043955, 31.111528, 32.787644, 163.434724], [16.283831, 16.356642, 18.053146, 18.796320, 93.188994], [23.546816, 24.326085, 25.049131, 26.973530, 35.989212], [21.417741, 21.555887, 21.990591, 22.820437, 96.365506], [42.799375, 43.262359, 44.271425, 45.250680, 202.993317]]
### 6
mean: [3.495440, -1.731491, 3.255137, -1.317326, -1.658494, -2.464186, -0.293453, -1.172935]
std: [3.363762, 1.565822, 3.292435, 1.118531, 1.613684, 1.957421, 0.331074, 1.417729]
pca: [[0.574849, 0.238913, 0.250994, -0.059405, 0.158824, 0.197382, 0.692423, -0.048035, 0.000000, 0.000000], [-0.266894, 0.196977, 0.190185, 0.849956, 0.115819, -0.264164, 0.210615, 0.061787, 0.000000, 0.000000], [0.562721, 0.216100, 0.118825, 0.066445, 0.223659, -0.309169, -0.510329, 0.460508, 0.000000, 0.000000], [-0.190086, -0.252895, 0.403522, -0.136424, 0.803758, 0.051363, -0.127946, -0.231159, 0.000000, 0.000000], [-0.275516, 0.007447, 0.507443, -0.419323, -0.238011, -0.552131, 0.236980, 0.270274, 0.000000, 0.000000], [-0.328744, 0.877163, -0.087972, -0.237876, 0.163515, 0.139130, -0.098772, -0.048354, 0.000000, 0.000000], [-0.054303, 0.021455, 0.628091, 0.128698, -0.336192, 0.614199, -0.266071, 0.156429, 0.000000, 0.000000], [-0.242070, -0.153412, -0.253271, -0.045165, 0.262486, 0.302635, 0.250353, 0.792791, 0.000000, 0.000000]]
fourier: [[53.641119, 54.227601, 60.197613, 61.803672, 314.589608], [25.704538, 26.054836, 27.677667, 27.732823, 155.834171], [52.603907, 53.167002, 58.922491, 60.430766, 292.962358], [17.461471, 17.899568, 20.326727, 20.777608, 118.559340], [26.179668, 26.194785, 28.692174, 28.987906, 149.264418], [32.916578, 32.927206, 34.136494, 35.189303, 221.776703], [5.390628, 5.641621, 5.710618, 6.321495, 26.410778], [22.566466, 22.760380, 25.435231, 26.179014, 105.564111]]
### 8
mean: [-1.397893, 1.076357, -3.983673, 5.891889, 0.114363, -1.011621, -0.203365, -2.204100]
std: [1.485540, 1.318038, 3.619784, 5.879734, 0.099561, 1.163726, 0.506277, 2.574632]
pca: [[-0.191938, -0.291339, 0.292237, 0.663629, 0.108604, 0.358797, -0.351158, -0.297715, 0.000000, 0.000000], [0.170350, 0.006520, 0.624733, -0.366854, 0.209696, 0.513748, 0.002759, 0.371682, 0.000000, 0.000000], [-0.467839, 0.461127, -0.055946, 0.250473, 0.300054, 0.236829, 0.595261, 0.046533, 0.000000, 0.000000], [0.760028, 0.413942, -0.195819, 0.303404, -0.072040, 0.313567, 0.051551, -0.120158, 0.000000, 0.000000], [0.010935, 0.335672, -0.123250, -0.058868, 0.737256, -0.221633, -0.524240, 0.032449, 0.000000, 0.000000], [-0.150394, -0.113325, -0.508937, 0.151394, -0.135370, 0.329217, -0.259338, 0.699026, 0.000000, 0.000000], [-0.064756, 0.458941, 0.449882, 0.332677, -0.374236, -0.405305, -0.182877, 0.366529, 0.000000, 0.000000], [-0.332705, 0.441529, -0.078932, -0.364916, -0.383518, 0.362130, -0.379683, -0.364118, 0.000000, 0.000000]]
fourier: [[23.631756, 23.764221, 26.977053, 27.330120, 125.810364], [20.738057, 21.476432, 23.740101, 24.063505, 96.872119], [56.743340, 59.302256, 64.950543, 65.173593, 358.530549], [92.732901, 94.981890, 106.583988, 107.415096, 530.269885], [1.715509, 1.874801, 1.882698, 2.097841, 10.292674], [18.328990, 18.835859, 21.026764, 21.403772, 91.045898], [8.280244, 8.350184, 8.570357, 8.811691, 18.302870], [40.305531, 42.355460, 46.068797, 46.256236, 198.369029]]
### 10
mean: [1.914865, -0.656671, 2.821395, 4.414071, 1.835981, -2.093936, -1.316610, 3.902010]
std: [2.106411, 0.602549, 2.581019, 4.176669, 1.988566, 2.433988, 0.643221, 3.661623]
pca: [[0.290332, 0.369488, -0.126363, 0.537339, -0.199066, 0.363931, 0.105545, -0.539697, 0.000000, 0.000000], [-0.083083, 0.062654, 0.259344, 0.254832, 0.452313, 0.101327, 0.763883, 0.242077, 0.000000, 0.000000], [0.356005, 0.081173, 0.787513, 0.066322, -0.252778, -0.415907, -0.032062, -0.064758, 0.000000, 0.000000], [0.576144, 0.011748, 0.120936, -0.521064, 0.032216, 0.592386, 0.043880, 0.167038, 0.000000, 0.000000], [0.273635, 0.610636, -0.260150, 0.183989, 0.054434, -0.222354, -0.187127, 0.602741, 0.000000, 0.000000], [-0.335248, 0.584350, 0.264686, -0.312141, 0.456546, 0.070306, -0.247597, -0.322448, 0.000000, 0.000000], [-0.088320, -0.264362, 0.319542, 0.485479, 0.246682, 0.406840, -0.540089, 0.257775, 0.000000, 0.000000], [0.505030, -0.261912, -0.205250, 0.058710, 0.646994, -0.336874, -0.119888, -0.290368, 0.000000, 0.000000]]
fourier: [[33.196395, 35.077018, 39.477651, 39.541813, 172.337814], [9.517068, 9.729238, 10.953991, 10.958728, 59.100437], [41.195195, 41.599920, 47.554518, 47.643312, 253.925574], [66.823271, 67.138006, 76.822117, 76.873332, 397.266388], [30.877391, 33.886598, 37.632798, 37.732972, 165.238292], [38.084780, 39.859343, 43.711781, 43.760465, 188.454242], [9.864376, 11.160485, 12.223767, 12.244319, 118.494848], [58.005410, 59.015915, 66.943039, 66.985809, 351.180924]]
### 12
mean: [-4.550352]
std: [4.406120]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[70.346134, 71.129663, 81.227736, 81.847232, 409.531716]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.6003411412239075, "std": 1.8116618394851685, "pca": [-0.32272928953170776, 0.5352846384048462, -0.005407442804425955, -0.16001960635185242, 0.45888012647628784, -0.15974093973636627, -0.3056207299232483, 0.5041710734367371, 0.0, 0.0], "fourier": [28.09912608277783, 29.887629792061567, 34.1808292221298, 34.623346225142704, 54.030701011419296]}, "1": {"mean": -0.2563954293727875, "std": 1.7397966384887695, "pca": [0.28369638323783875, -0.3765668272972107, 0.5992963314056396, -0.1881648600101471, -0.04065963998436928, 0.15237124264240265, -0.025348404422402382, 0.5980291962623596, 0.0, 0.0], "fourier": [25.8350526498134, 28.708277591907812, 29.11692883266335, 30.725839723405507, 41.62409122241043]}, "2": {"mean": -0.3451572358608246, "std": 1.6035428047180176, "pca": [0.3465491235256195, -0.21652670204639435, 0.1421397179365158, 0.38471755385398865, 0.4953998625278473, -0.16524845361709595, -0.5648226141929626, 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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.848402, 0.210451, 0.561729, 0.201855, 0.135812], [0.877776, -0.65249, -0.13746, 0.086003, 0.043904], [0.848445, -0.224511, -0.278091, 0.253614, -0.35043], [0.601432, 0.332849, 0.059424, -0.015574, -0.531408], [0.980123, 0.58813, 0.147867, -0.230467, -0.398169], [0.142929, -0.166544, -0.34684, -0.247312, -0.427015], [0.471107, 0.150217, 0.204905, 0.44252, 0.050561], [-0.47548, 0.235577, -0.523552, 0.134893, 0.241606]], "network.0.bias": [-0.501116, -0.111193, -0.522652, 0.283784, 0.048178, -0.269977, 0.052461, -0.459202], "network.2.weight": [[-0.413664, 0.023734, 0.10275, 0.307858, 0.156539, 0.089726, -0.635123, -0.356887], [-0.418835, -0.254022, 0.071036, 0.632913, 0.268533, -0.101215, -0.567393, -0.294515], [-0.498131, 0.224656, -0.150735, 0.518726, 0.120426, -0.107988, -0.512084, -0.636362], [-0.363095, 0.089167, 0.026271, 0.102717, 0.338066, 0.605042, -0.793469, -0.713105], [0.133289, -0.448302, 0.224004, -0.522215, -0.296754, 0.236123, 0.099829, 0.333447], [0.372618, -0.121853, -0.106485, -0.510786, -0.532493, 0.189409, 0.242182, -0.11118], [-0.663983, 0.548347, 0.260724, 0.648014, 0.871945, -0.78546, 0.086702, -0.481174], [-0.025592, -0.169155, -0.450122, -0.740295, -0.200332, 0.221373, -0.38649, -0.212499]], "network.2.bias": [-0.37932, -0.7533, -0.259085, -0.289196, -0.155304, -0.237371, 0.415852, -0.582375], "network.4.weight": [[0.385219, -0.012342, 0.328632, -0.111338, 0.209161, 0.403453, -0.303376, -0.250577], [0.223014, -0.117735, 0.613184, 0.138409, -0.185669, 0.546955, -0.32927, -0.189434], [-0.487484, -0.48003, -0.381006, 0.03013, 0.049089, 0.268962, 0.308985, 0.022821], [-1.166966, -0.755047, -0.942815, -0.672788, 0.190193, -0.55388, 0.511933, -0.340259], [0.19828, 0.222514, 0.545144, -0.218576, 0.035573, 0.340196, -0.278426, 0.186012], [-0.785299, -0.219518, -0.296818, 0.066158, -0.358088, -0.135588, -0.301503, -0.342098], [-0.179973, 0.106798, 0.064252, 0.356104, 0.063974, 0.350631, -0.31605, 0.159108], [-0.977186, -0.233097, -1.139175, -0.272641, -0.313953, -0.104517, 0.706815, -0.276334]], "network.4.bias": [-0.311152, 0.430466, -0.1381, 0.490107, -0.366551, 0.414609, -0.259221, 0.320893], "network.6.weight": [[-0.377858, -0.279069, -0.049824, 1.002405, -0.627774, 0.020714, -0.289623, 0.61719], [0.411855, -0.111375, -0.44603, -0.591361, -0.211674, -0.464454, -0.178643, -0.058273], [-0.590787, -0.247354, -0.036731, 0.902427, -0.079709, 0.081625, -0.535472, 0.653612], [0.277191, 0.288785, 0.190257, -0.22478, 0.139193, -0.563382, -0.050249, -0.348841], [0.440031, -0.463076, 0.219025, -0.320585, 0.552981, -0.163227, 0.686684, -0.533048], [-0.260669, -1.075473, -0.093558, -0.543582, 0.172742, 0.444727, 0.140064, -0.397329], [0.382168, -0.234005, -0.1932, 0.018205, 0.5376, -0.442118, 0.097629, -0.105758], [0.214645, 0.35402, 0.076634, -0.416531, -0.113104, 0.002852, -0.148386, -0.261135]], "network.6.bias": [0.386663, -0.197172, 0.238515, -0.236456, 0.158046, -0.439612, 0.224556, -0.005886], "network.8.weight": [[-0.125177, 0.089764, -0.328741, 0.529843, -0.25672, -0.096609, -0.479425, 0.341939], [0.257151, -0.181275, 0.143807, -0.134123, -0.279651, -0.23948, -0.266441, 0.324628], [-0.546773, -0.29638, -0.530164, -0.341734, -0.241109, 0.513605, -0.103098, -0.173409], [0.921727, -0.660845, 0.834174, -0.417839, 0.444498, 0.27057, -0.202399, -0.476216], [0.103632, -0.070393, -0.076638, -0.44792, -0.179375, 0.469155, 0.20881, -0.122817], [-0.175313, -0.052746, -0.177539, 0.163744, 0.236821, 0.312838, 0.266298, -0.132986], [-0.106387, 0.089631, -0.039049, -0.0369, -0.411086, -0.37284, -0.519627, -0.235886], [-0.385773, -0.031162, -0.373632, -0.088456, -0.405322, 0.076639, 0.211956, -0.324556]], "network.8.bias": [0.096841, -0.357689, -0.448619, -0.05581, -0.011996, 0.237718, 0.174166, 0.2891], "network.10.weight": [[-0.513691, 0.277912, 0.763009, 0.287876, 0.221892, -0.37314, -0.152213, -0.669294], [0.160348, 0.087791, 0.183198, -0.126866, 0.127032, -0.108543, -0.13541, -0.033145], [-0.549897, -0.266722, 0.111256, 0.498962, -0.410993, -0.230417, -0.179018, 0.191397], [-0.363449, -0.265769, -0.303238, 0.77081, 0.238264, -0.419692, 0.031971, -0.133851], [-0.71972, 0.030241, 0.507595, 0.327272, 0.01001, -0.45525, -0.173383, -0.858069], [-0.277111, -0.428809, -0.148474, -0.324743, 0.416678, 0.363169, -0.433962, -0.369464], [0.18716, 0.314856, 0.405046, -0.189101, 0.502797, 0.263851, -0.061248, 0.375059], [0.089976, 0.253173, 0.225897, 0.567721, 0.110171, -0.606866, 0.342867, -0.015016]], "network.10.bias": [-0.121218, 0.001904, 0.15281, 0.068367, -0.206565, 0.202523, -0.491801, 0.281314], "network.12.weight": [[0.121219, 0.137382, -0.131039, -0.620917, -0.263054, 0.26216, 0.144759, -0.323999]], "network.12.bias": [0.0728]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7003832161426544, "train_acc": 0.49, "val_loss": 0.6652613878250122, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6871647834777832, "train_acc": 0.54, "val_loss": 0.6469399333000183, "val_acc": 0.6}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6546345055103302, "train_acc": 0.54, "val_loss": 0.5339933633804321, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6136537790298462, "train_acc": 0.55, "val_loss": 1.0314239263534546, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.7129937410354614, "train_acc": 0.6, "val_loss": 0.5163175463676453, "val_acc": 0.66}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5552298426628113, "train_acc": 0.685, "val_loss": 0.4074189066886902, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.6081223785877228, "train_acc": 0.74, "val_loss": 0.38115164637565613, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.532197892665863, "train_acc": 0.79, "val_loss": 0.40764105319976807, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.49472910165786743, "train_acc": 0.79, "val_loss": 0.4011465013027191, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.4554913341999054, "train_acc": 0.755, "val_loss": 0.40405601263046265, "val_acc": 0.82}], "summary": {"total_epochs": 10, "degraded_epochs": 3, "improved_epochs": 7, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6652613878250122, "final_val_loss": 0.5339933633804321, "initial_val_acc": 0.6, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 1.0314239263534546, "final_val_loss": 0.40405601263046265, "initial_val_acc": 0.48, "final_val_acc": 0.82, "best_val_acc": 0.88, "best_epoch": 6}, "improvement": 0.28, "first_improvement_epoch": 2}}
|
107
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.52, "improved_accuracy": 1.0, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1654, "learning_rate": 0.04213763995791613, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.037544
],
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[
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[
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[
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],
[
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]
],
"network.0.bias": [
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"network.2.weight": [
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],
[
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[
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[
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0.884432,
0.662937,
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],
[
-0.076008,
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-0.512207,
0.15722,
5.2e-05
]
],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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[
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[
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],
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"network.6.weight": [
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[
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[
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"network.6.bias": [
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"network.10.weight": [
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]
}
## Activation Signature
### 0
mean: [0.497826, 0.214770, 0.792102, 0.938186, 0.377242, 1.404274]
std: [1.604325, 1.390170, 1.639468, 1.450773, 1.618158, 1.486043]
pca: [[0.478659, -0.263097, -0.152139, 0.640548, -0.346130, -0.385242, 0.000000, 0.000000, 0.000000, 0.000000], [0.379895, 0.387809, -0.131355, 0.398542, 0.639097, 0.347491, 0.000000, 0.000000, 0.000000, 0.000000], [0.259755, 0.795715, 0.178135, -0.121897, -0.500864, -0.043698, 0.000000, 0.000000, 0.000000, 0.000000], [0.441288, -0.075863, 0.444437, -0.368180, 0.404046, -0.550614, 0.000000, 0.000000, 0.000000, 0.000000], [0.476665, -0.373440, 0.353454, -0.161816, -0.237903, 0.652397, 0.000000, 0.000000, 0.000000, 0.000000], [-0.370335, 0.044826, 0.778083, 0.504245, 0.032162, 0.011489, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.799661, 24.665715, 24.783563, 27.983788, 44.804345], [19.329282, 19.461258, 20.806497, 24.325497, 30.244593], [24.293156, 25.968000, 32.756087, 32.904376, 71.289190], [21.723659, 22.918602, 28.080644, 30.312788, 84.436733], [23.381183, 24.771688, 28.994509, 33.951751, 35.975727], [23.953383, 24.186165, 28.712078, 29.045392, 126.384685]]
### 2
mean: [2.055923, 1.862172, 0.174072, -0.832800, 2.374479, -1.100404]
std: [2.129119, 1.495318, 0.635308, 0.657204, 2.769350, 0.689286]
pca: [[0.549418, 0.072543, 0.266256, 0.413454, 0.620811, -0.256191, 0.000000, 0.000000, 0.000000, 0.000000], [0.375525, 0.444796, -0.311051, 0.161475, -0.056578, 0.731512, 0.000000, 0.000000, 0.000000, 0.000000], [-0.079242, 0.685037, -0.459837, -0.073734, 0.007566, -0.554527, 0.000000, 0.000000, 0.000000, 0.000000], [-0.100669, 0.536655, 0.730306, -0.390568, 0.024456, 0.124010, 0.000000, 0.000000, 0.000000, 0.000000], [0.716498, -0.097549, 0.076567, -0.292063, -0.566377, -0.255281, 0.000000, 0.000000, 0.000000, 0.000000], [-0.165339, 0.173503, 0.285823, 0.748132, -0.538474, -0.105876, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.054568, 36.744531, 40.920800, 41.170480, 185.033111], [20.737958, 24.604817, 25.352512, 31.057284, 167.595444], [10.139992, 10.825532, 10.853371, 11.078606, 15.666489], [11.188904, 12.231911, 12.465726, 12.614602, 74.952011], [44.541780, 48.890557, 50.904681, 53.338974, 213.703129], [11.798917, 11.875459, 12.179508, 12.736215, 99.036376]]
### 4
mean: [5.004946, -0.008170, -0.121488, -0.226912, -0.940006, 3.490011]
std: [4.499775, 0.718391, 0.786436, 0.818540, 0.755659, 3.370532]
pca: [[0.773309, 0.450624, 0.198022, -0.062221, -0.033076, -0.393387, 0.000000, 0.000000, 0.000000, 0.000000], [-0.116745, 0.570030, -0.167221, -0.185150, 0.709768, 0.308906, 0.000000, 0.000000, 0.000000, 0.000000], [-0.133458, 0.287461, -0.204294, 0.908251, 0.014660, -0.180787, 0.000000, 0.000000, 0.000000, 0.000000], [-0.135550, 0.535453, 0.192957, -0.035601, -0.635098, 0.503058, 0.000000, 0.000000, 0.000000, 0.000000], [-0.128744, -0.074347, 0.919074, 0.219851, 0.283797, 0.065761, 0.000000, 0.000000, 0.000000, 0.000000], [0.579314, -0.311663, -0.095697, 0.295509, 0.105030, 0.678047, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[64.530796, 75.883329, 83.765297, 87.896521, 450.445118], [12.130751, 12.327190, 12.416327, 12.741090, 14.241905], [12.549796, 12.639861, 13.713211, 14.770844, 15.014310], [14.102270, 14.297703, 14.365643, 16.242632, 20.422098], [11.520202, 12.549379, 13.815784, 14.107570, 84.600553], [51.467742, 57.658588, 64.552326, 64.565902, 314.101020]]
### 6
mean: [-0.412428, 4.557581, -1.347327, -1.818644, 3.811975, -0.314574]
std: [1.331086, 4.749341, 2.091685, 1.077858, 3.353150, 1.747746]
pca: [[-0.200395, 0.169802, 0.423517, -0.463428, -0.009167, 0.732662, 0.000000, 0.000000, 0.000000, 0.000000], [0.716788, -0.194838, -0.235141, 0.106435, 0.423502, 0.449755, 0.000000, 0.000000, 0.000000, 0.000000], [-0.315299, 0.200351, -0.433751, -0.450440, 0.666545, -0.158518, 0.000000, 0.000000, 0.000000, 0.000000], [-0.157227, -0.519370, 0.611938, 0.135838, 0.528032, -0.183839, 0.000000, 0.000000, 0.000000, 0.000000], [0.504060, 0.583001, 0.447594, -0.205890, 0.123851, -0.384661, 0.000000, 0.000000, 0.000000, 0.000000], [-0.260473, 0.532381, 0.048930, 0.714260, 0.286573, 0.232462, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.304529, 23.621164, 25.211730, 26.834512, 37.118550], [69.968291, 83.095745, 89.362359, 95.051447, 410.182327], [31.192913, 36.998466, 38.717479, 42.642262, 121.259429], [16.478097, 16.705749, 18.238903, 20.723302, 163.677997], [49.024066, 55.870102, 63.062080, 64.161110, 343.077739], [28.126985, 28.311701, 31.919877, 32.150813, 36.622240]]
### 8
mean: [-0.500322, 4.668257, -1.263557, 4.815247, 2.896032, 5.989882]
std: [0.224762, 4.359150, 0.809358, 5.477741, 3.667470, 6.122566]
pca: [[0.016940, 0.376043, 0.377694, -0.349287, 0.376510, 0.672228, 0.000000, 0.000000, 0.000000, 0.000000], [0.434461, -0.465120, 0.169931, -0.133450, 0.678784, -0.295760, 0.000000, 0.000000, 0.000000, 0.000000], [-0.078108, 0.522672, 0.606298, 0.140280, 0.032739, -0.576512, 0.000000, 0.000000, 0.000000, 0.000000], [0.546346, 0.229646, -0.072979, 0.758769, 0.082625, 0.246749, 0.000000, 0.000000, 0.000000, 0.000000], [0.365223, 0.543852, -0.574151, -0.409854, 0.091038, -0.254792, 0.000000, 0.000000, 0.000000, 0.000000], [0.610716, -0.143376, 0.354822, -0.311126, -0.617499, 0.049653, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.749892, 4.181509, 4.242450, 5.017042, 45.028938], [63.922691, 75.083013, 82.569054, 87.070401, 420.143094], [11.933288, 12.584758, 14.231898, 15.172776, 113.720126], [79.815344, 96.591148, 103.499738, 112.565381, 433.372182], [54.419781, 65.782441, 69.251824, 76.728895, 260.642924], [89.399891, 106.911034, 115.734013, 124.183679, 539.089362]]
### 10
mean: [-11.206717]
std: [11.168896]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[164.442246, 189.864386, 211.202617, 222.542135, 1008.604439]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.508287,
-0.280111,
0.098109,
0.541543,
0.037544
],
[
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0.3197,
0.114186,
0.406949
],
[
-0.323143,
0.024332,
0.284697,
-0.200537,
0.812208
],
[
-0.734341,
0.251967,
0.372803,
0.094118,
0.109117
],
[
-0.73494,
0.237708,
0.217435,
0.323381,
-0.044095
],
[
0.616656,
0.088394,
0.222844,
0.0899,
-0.226882
]
],
"network.0.bias": [
0.228235,
-0.04037,
-0.016485,
0.277739,
-0.234609,
0.097346
],
"network.2.weight": [
[
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0.139643,
0.509371,
0.534754,
-0.327951
],
[
0.520838,
0.549118,
0.005917,
0.374229,
0.485583,
0.021671
],
[
0.229476,
-0.028889,
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0.127477,
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0.344332
],
[
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0.060985,
-0.008459,
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],
[
0.719634,
0.558901,
0.461786,
0.884432,
0.662937,
-0.340435
],
[
-0.076008,
-0.339893,
-0.040911,
-0.512207,
0.15722,
5.2e-05
]
],
"network.2.bias": [
0.294893,
0.127827,
-0.199818,
-0.263633,
-0.257509,
-0.28872
],
"network.4.weight": [
[
0.818623,
0.609838,
0.091079,
-0.100976,
0.825885,
-0.075038
],
[
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0.248317,
0.454297,
0.132701,
-0.132962,
0.054649
],
[
-0.029507,
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],
[
-0.296051,
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0.388941,
0.264656,
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0.180422
],
[
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-0.319397,
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-0.022688
],
[
0.845063,
-0.015913,
-0.337332,
0.292162,
0.699138,
-0.08144
]
],
"network.4.bias": [
-0.12443,
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0.571133,
0.383233,
-0.113415,
-0.055896
],
"network.6.weight": [
[
-0.071733,
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0.435975,
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],
[
0.583816,
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-0.611292,
0.221001,
0.508076
],
[
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0.618902,
0.202836,
0.132301,
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0.043866
],
[
0.052052,
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-0.168438,
0.076193,
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],
[
0.577483,
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0.417138,
0.243981,
-0.192073,
0.257813
],
[
-0.20424,
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0.860687,
0.156402,
-0.191322,
-0.106559
]
],
"network.6.bias": [
0.653592,
0.264276,
0.425444,
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-0.087435,
0.648027
],
"network.8.weight": [
[
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0.182316,
-0.251315
],
[
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-0.264042,
0.216416,
0.449747,
0.093005
],
[
-0.271591,
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0.228774,
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],
[
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0.509815,
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],
[
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0.068353,
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],
[
-0.185281,
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0.629503,
-0.532006
]
],
"network.8.bias": [
-0.287128,
0.34278,
-0.026973,
0.15361,
0.077785,
0.38616
],
"network.10.weight": [
[
0.386702,
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-0.359784,
-0.628094,
-0.180951,
-0.672741
]
],
"network.10.bias": [
0.680141
]
}
## Activation Signature
### 0
mean: [0.497826, 0.214770, 0.792102, 0.938186, 0.377242, 1.404274]
std: [1.604325, 1.390170, 1.639468, 1.450773, 1.618158, 1.486043]
pca: [[0.478659, -0.263097, -0.152139, 0.640548, -0.346130, -0.385242, 0.000000, 0.000000, 0.000000, 0.000000], [0.379895, 0.387809, -0.131355, 0.398542, 0.639097, 0.347491, 0.000000, 0.000000, 0.000000, 0.000000], [0.259755, 0.795715, 0.178135, -0.121897, -0.500864, -0.043698, 0.000000, 0.000000, 0.000000, 0.000000], [0.441288, -0.075863, 0.444437, -0.368180, 0.404046, -0.550614, 0.000000, 0.000000, 0.000000, 0.000000], [0.476665, -0.373440, 0.353454, -0.161816, -0.237903, 0.652397, 0.000000, 0.000000, 0.000000, 0.000000], [-0.370335, 0.044826, 0.778083, 0.504245, 0.032162, 0.011489, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.799661, 24.665715, 24.783563, 27.983788, 44.804345], [19.329282, 19.461258, 20.806497, 24.325497, 30.244593], [24.293156, 25.968000, 32.756087, 32.904376, 71.289190], [21.723659, 22.918602, 28.080644, 30.312788, 84.436733], [23.381183, 24.771688, 28.994509, 33.951751, 35.975727], [23.953383, 24.186165, 28.712078, 29.045392, 126.384685]]
### 2
mean: [2.055923, 1.862172, 0.174072, -0.832800, 2.374479, -1.100404]
std: [2.129119, 1.495318, 0.635308, 0.657204, 2.769350, 0.689286]
pca: [[0.549418, 0.072543, 0.266256, 0.413454, 0.620811, -0.256191, 0.000000, 0.000000, 0.000000, 0.000000], [0.375525, 0.444796, -0.311051, 0.161475, -0.056578, 0.731512, 0.000000, 0.000000, 0.000000, 0.000000], [-0.079242, 0.685037, -0.459837, -0.073734, 0.007566, -0.554527, 0.000000, 0.000000, 0.000000, 0.000000], [-0.100669, 0.536655, 0.730306, -0.390568, 0.024456, 0.124010, 0.000000, 0.000000, 0.000000, 0.000000], [0.716498, -0.097549, 0.076567, -0.292063, -0.566377, -0.255281, 0.000000, 0.000000, 0.000000, 0.000000], [-0.165339, 0.173503, 0.285823, 0.748132, -0.538474, -0.105876, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.054568, 36.744531, 40.920800, 41.170480, 185.033111], [20.737958, 24.604817, 25.352512, 31.057284, 167.595444], [10.139992, 10.825532, 10.853371, 11.078606, 15.666489], [11.188904, 12.231911, 12.465726, 12.614602, 74.952011], [44.541780, 48.890557, 50.904681, 53.338974, 213.703129], [11.798917, 11.875459, 12.179508, 12.736215, 99.036376]]
### 4
mean: [5.004946, -0.008170, -0.121488, -0.226912, -0.940006, 3.490011]
std: [4.499775, 0.718391, 0.786436, 0.818540, 0.755659, 3.370532]
pca: [[0.773309, 0.450624, 0.198022, -0.062221, -0.033076, -0.393387, 0.000000, 0.000000, 0.000000, 0.000000], [-0.116745, 0.570030, -0.167221, -0.185150, 0.709768, 0.308906, 0.000000, 0.000000, 0.000000, 0.000000], [-0.133458, 0.287461, -0.204294, 0.908251, 0.014660, -0.180787, 0.000000, 0.000000, 0.000000, 0.000000], [-0.135550, 0.535453, 0.192957, -0.035601, -0.635098, 0.503058, 0.000000, 0.000000, 0.000000, 0.000000], [-0.128744, -0.074347, 0.919074, 0.219851, 0.283797, 0.065761, 0.000000, 0.000000, 0.000000, 0.000000], [0.579314, -0.311663, -0.095697, 0.295509, 0.105030, 0.678047, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[64.530796, 75.883329, 83.765297, 87.896521, 450.445118], [12.130751, 12.327190, 12.416327, 12.741090, 14.241905], [12.549796, 12.639861, 13.713211, 14.770844, 15.014310], [14.102270, 14.297703, 14.365643, 16.242632, 20.422098], [11.520202, 12.549379, 13.815784, 14.107570, 84.600553], [51.467742, 57.658588, 64.552326, 64.565902, 314.101020]]
### 6
mean: [-0.412428, 4.557581, -1.347327, -1.818644, 3.811975, -0.314574]
std: [1.331086, 4.749341, 2.091685, 1.077858, 3.353150, 1.747746]
pca: [[-0.200395, 0.169802, 0.423517, -0.463428, -0.009167, 0.732662, 0.000000, 0.000000, 0.000000, 0.000000], [0.716788, -0.194838, -0.235141, 0.106435, 0.423502, 0.449755, 0.000000, 0.000000, 0.000000, 0.000000], [-0.315299, 0.200351, -0.433751, -0.450440, 0.666545, -0.158518, 0.000000, 0.000000, 0.000000, 0.000000], [-0.157227, -0.519370, 0.611938, 0.135838, 0.528032, -0.183839, 0.000000, 0.000000, 0.000000, 0.000000], [0.504060, 0.583001, 0.447594, -0.205890, 0.123851, -0.384661, 0.000000, 0.000000, 0.000000, 0.000000], [-0.260473, 0.532381, 0.048930, 0.714260, 0.286573, 0.232462, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.304529, 23.621164, 25.211730, 26.834512, 37.118550], [69.968291, 83.095745, 89.362359, 95.051447, 410.182327], [31.192913, 36.998466, 38.717479, 42.642262, 121.259429], [16.478097, 16.705749, 18.238903, 20.723302, 163.677997], [49.024066, 55.870102, 63.062080, 64.161110, 343.077739], [28.126985, 28.311701, 31.919877, 32.150813, 36.622240]]
### 8
mean: [-0.500322, 4.668257, -1.263557, 4.815247, 2.896032, 5.989882]
std: [0.224762, 4.359150, 0.809358, 5.477741, 3.667470, 6.122566]
pca: [[0.016940, 0.376043, 0.377694, -0.349287, 0.376510, 0.672228, 0.000000, 0.000000, 0.000000, 0.000000], [0.434461, -0.465120, 0.169931, -0.133450, 0.678784, -0.295760, 0.000000, 0.000000, 0.000000, 0.000000], [-0.078108, 0.522672, 0.606298, 0.140280, 0.032739, -0.576512, 0.000000, 0.000000, 0.000000, 0.000000], [0.546346, 0.229646, -0.072979, 0.758769, 0.082625, 0.246749, 0.000000, 0.000000, 0.000000, 0.000000], [0.365223, 0.543852, -0.574151, -0.409854, 0.091038, -0.254792, 0.000000, 0.000000, 0.000000, 0.000000], [0.610716, -0.143376, 0.354822, -0.311126, -0.617499, 0.049653, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.749892, 4.181509, 4.242450, 5.017042, 45.028938], [63.922691, 75.083013, 82.569054, 87.070401, 420.143094], [11.933288, 12.584758, 14.231898, 15.172776, 113.720126], [79.815344, 96.591148, 103.499738, 112.565381, 433.372182], [54.419781, 65.782441, 69.251824, 76.728895, 260.642924], [89.399891, 106.911034, 115.734013, 124.183679, 539.089362]]
### 10
mean: [-11.206717]
std: [11.168896]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[164.442246, 189.864386, 211.202617, 222.542135, 1008.604439]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.685449093580246, "train_acc": 0.56, "val_loss": 0.6711976528167725, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6430018842220306, "train_acc": 0.56, "val_loss": 0.5584871768951416, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5476366877555847, "train_acc": 0.635, "val_loss": 0.38880181312561035, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4098786562681198, "train_acc": 0.89, "val_loss": 0.3317534327507019, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3556341975927353, "train_acc": 0.9, "val_loss": 0.26989132165908813, "val_acc": 0.98}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3419436365365982, "train_acc": 0.91, "val_loss": 0.2529979348182678, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.33119910955429077, "train_acc": 0.91, "val_loss": 0.23153690993785858, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.29362328350543976, "train_acc": 0.925, "val_loss": 0.2007073014974594, "val_acc": 1.0}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2678062915802002, "train_acc": 0.94, "val_loss": 0.32519271969795227, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.26776815205812454, "train_acc": 0.94, "val_loss": 0.1955275535583496, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2541964426636696, "train_acc": 0.95, "val_loss": 0.16066157817840576, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.22858480364084244, "train_acc": 0.95, "val_loss": 0.15026146173477173, "val_acc": 1.0}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6711976528167725, "final_val_loss": 0.5584871768951416, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.38880181312561035, "final_val_loss": 0.15026146173477173, "initial_val_acc": 0.94, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 7}, "improvement": 0.48, "first_improvement_epoch": 1}}
|
108
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.52, "improved_accuracy": 0.8, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2254, "learning_rate": 0.03622493745133102, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [2.956900, -1.997740, 0.147218, 2.083166, -0.248923]
std: [2.216248, 1.683088, 1.196252, 1.700004, 1.231903]
pca: [[0.663370, 0.553730, 0.342792, 0.218256, 0.296953, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.511740, 0.334872, 0.738128, -0.235570, -0.160178, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.019622, -0.488946, 0.301856, -0.238729, 0.782584, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.544068, -0.342204, 0.255230, -0.551246, -0.466768, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.040834, -0.474418, 0.425912, 0.732125, -0.236330, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.428688, 38.637229, 38.944040, 43.966657, 266.120958], [24.335776, 26.666168, 31.100818, 31.216064, 179.796608], [18.133344, 18.281345, 18.782801, 18.863279, 21.298717], [25.608277, 30.307080, 32.265917, 35.598390, 187.484978], [19.250434, 20.236235, 22.184966, 22.403089, 23.756569]]
### 2
mean: [0.316179, 0.379506, -0.171543, 2.233529, -1.709901]
std: [0.932975, 0.977242, 0.344345, 1.868631, 1.197607]
pca: [[-0.166081, 0.569084, 0.612826, -0.483975, -0.196908, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.148167, 0.611817, -0.229737, 0.187112, 0.718287, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.007531, -0.219794, 0.741516, 0.571625, 0.273921, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.873419, -0.038802, 0.123858, -0.325925, 0.337735, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.433065, -0.502004, 0.080488, -0.545688, 0.506155, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.665643, 17.109885, 17.493796, 17.582010, 28.456085], [16.508047, 16.585293, 17.877596, 19.080125, 34.155506], [5.708666, 5.906636, 6.820374, 7.105271, 15.438829], [31.090576, 31.576340, 34.115993, 35.031924, 201.017632], [19.519714, 19.597166, 20.115527, 25.457382, 153.891092]]
### 4
mean: [0.973318, 1.487541, -0.811643, 1.366725, 0.088091]
std: [1.188231, 1.466490, 0.406759, 0.968175, 1.267848]
pca: [[0.490972, 0.291855, 0.118322, 0.593937, -0.554082, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.617222, 0.086137, 0.563065, -0.520156, 0.154962, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.136009, -0.307365, 0.596646, 0.569154, 0.455088, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.389798, 0.356594, -0.459531, 0.225918, 0.677267, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.455569, 0.828111, 0.319065, -0.041252, 0.056432, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.403281, 19.738325, 21.841728, 25.605183, 87.598659], [23.123799, 23.172862, 25.771976, 33.165023, 133.878660], [6.608030, 6.827980, 7.277956, 8.239161, 73.047859], [14.661882, 16.458311, 18.115553, 19.949817, 123.005278], [17.207383, 21.057674, 22.372400, 23.380620, 26.310500]]
### 6
mean: [1.263615, 2.091007, 0.945709, 1.558895, -0.435184]
std: [1.204270, 1.796365, 0.754122, 1.349660, 0.485106]
pca: [[0.448025, 0.202835, -0.410546, 0.700117, -0.315309, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.669222, -0.064301, -0.409660, -0.470223, 0.398844, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.280650, -0.102048, 0.557108, 0.458117, 0.624965, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.502089, 0.231281, 0.593834, -0.272924, -0.517001, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.143380, 0.943832, -0.024961, -0.066083, 0.289194, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.099749, 19.781608, 22.641944, 27.273160, 113.725357], [27.870732, 28.949354, 32.919202, 41.487678, 188.190593], [11.936508, 11.954463, 13.758045, 17.643417, 85.113815], [20.299710, 22.000767, 25.364920, 30.797047, 140.300596], [6.938570, 8.527839, 8.958755, 10.592604, 39.166586]]
### 8
mean: [-2.055760, 0.921629, 2.444424, -3.014257, 4.001487]
std: [1.879404, 0.506528, 2.177408, 2.767195, 3.168324]
pca: [[-0.366916, -0.483685, 0.402831, -0.427906, 0.534832, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.098660, -0.296266, 0.619379, 0.713957, -0.095540, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.425286, -0.170723, -0.416884, 0.327510, 0.713394, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.540280, 0.663478, 0.105553, 0.311852, 0.399377, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.618763, 0.457085, 0.518810, -0.320386, 0.190773, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.208265, 30.865606, 36.613849, 41.994054, 185.018385], [8.504930, 9.008840, 10.128524, 10.912793, 82.946637], [36.043428, 36.699042, 42.881607, 47.951992, 219.998113], [45.980270, 47.622304, 54.762452, 60.500084, 271.283173], [51.655646, 52.267995, 61.955346, 70.506051, 360.133774]]
### 10
mean: [3.194857, -3.585186, 2.998105, 3.379820, 2.731832]
std: [2.913865, 3.079572, 2.556031, 2.828232, 2.461459]
pca: [[-0.469549, -0.127379, -0.085578, 0.804624, 0.329476, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.495624, 0.649908, 0.225481, 0.218222, 0.483233, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.411165, 0.629328, -0.630236, -0.188768, -0.045365, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.455767, -0.076990, 0.326248, -0.509070, 0.648659, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.396358, 0.399266, 0.661966, 0.100863, -0.484886, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.033347, 48.458780, 57.019341, 64.560629, 287.537103], [51.072526, 52.458418, 61.133167, 67.499513, 322.666726], [39.302881, 42.712604, 48.984569, 57.255555, 269.829483], [46.183800, 47.036291, 55.418481, 62.691791, 304.183850], [38.417141, 40.942873, 47.445265, 55.150498, 245.864914]]
### 12
mean: [-8.137614]
std: [6.720150]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[112.055558, 117.139232, 134.937818, 145.307534, 732.385300]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.606014,
0.555713,
-0.338805
],
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0.103048,
-0.343705,
-0.442468
],
[
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0.009104,
0.54919
],
[
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0.091564,
0.272948,
0.693264
],
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## Activation Signature
### 0
mean: [2.956900, -1.997740, 0.147218, 2.083166, -0.248923]
std: [2.216248, 1.683088, 1.196252, 1.700004, 1.231903]
pca: [[0.663370, 0.553730, 0.342792, 0.218256, 0.296953, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.511740, 0.334872, 0.738128, -0.235570, -0.160178, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.019622, -0.488946, 0.301856, -0.238729, 0.782584, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.544068, -0.342204, 0.255230, -0.551246, -0.466768, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.040834, -0.474418, 0.425912, 0.732125, -0.236330, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.428688, 38.637229, 38.944040, 43.966657, 266.120958], [24.335776, 26.666168, 31.100818, 31.216064, 179.796608], [18.133344, 18.281345, 18.782801, 18.863279, 21.298717], [25.608277, 30.307080, 32.265917, 35.598390, 187.484978], [19.250434, 20.236235, 22.184966, 22.403089, 23.756569]]
### 2
mean: [0.316179, 0.379506, -0.171543, 2.233529, -1.709901]
std: [0.932975, 0.977242, 0.344345, 1.868631, 1.197607]
pca: [[-0.166081, 0.569084, 0.612826, -0.483975, -0.196908, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.148167, 0.611817, -0.229737, 0.187112, 0.718287, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.007531, -0.219794, 0.741516, 0.571625, 0.273921, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.873419, -0.038802, 0.123858, -0.325925, 0.337735, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.433065, -0.502004, 0.080488, -0.545688, 0.506155, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.665643, 17.109885, 17.493796, 17.582010, 28.456085], [16.508047, 16.585293, 17.877596, 19.080125, 34.155506], [5.708666, 5.906636, 6.820374, 7.105271, 15.438829], [31.090576, 31.576340, 34.115993, 35.031924, 201.017632], [19.519714, 19.597166, 20.115527, 25.457382, 153.891092]]
### 4
mean: [0.973318, 1.487541, -0.811643, 1.366725, 0.088091]
std: [1.188231, 1.466490, 0.406759, 0.968175, 1.267848]
pca: [[0.490972, 0.291855, 0.118322, 0.593937, -0.554082, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.617222, 0.086137, 0.563065, -0.520156, 0.154962, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.136009, -0.307365, 0.596646, 0.569154, 0.455088, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.389798, 0.356594, -0.459531, 0.225918, 0.677267, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.455569, 0.828111, 0.319065, -0.041252, 0.056432, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.403281, 19.738325, 21.841728, 25.605183, 87.598659], [23.123799, 23.172862, 25.771976, 33.165023, 133.878660], [6.608030, 6.827980, 7.277956, 8.239161, 73.047859], [14.661882, 16.458311, 18.115553, 19.949817, 123.005278], [17.207383, 21.057674, 22.372400, 23.380620, 26.310500]]
### 6
mean: [1.263615, 2.091007, 0.945709, 1.558895, -0.435184]
std: [1.204270, 1.796365, 0.754122, 1.349660, 0.485106]
pca: [[0.448025, 0.202835, -0.410546, 0.700117, -0.315309, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.669222, -0.064301, -0.409660, -0.470223, 0.398844, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.280650, -0.102048, 0.557108, 0.458117, 0.624965, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.502089, 0.231281, 0.593834, -0.272924, -0.517001, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.143380, 0.943832, -0.024961, -0.066083, 0.289194, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.099749, 19.781608, 22.641944, 27.273160, 113.725357], [27.870732, 28.949354, 32.919202, 41.487678, 188.190593], [11.936508, 11.954463, 13.758045, 17.643417, 85.113815], [20.299710, 22.000767, 25.364920, 30.797047, 140.300596], [6.938570, 8.527839, 8.958755, 10.592604, 39.166586]]
### 8
mean: [-2.055760, 0.921629, 2.444424, -3.014257, 4.001487]
std: [1.879404, 0.506528, 2.177408, 2.767195, 3.168324]
pca: [[-0.366916, -0.483685, 0.402831, -0.427906, 0.534832, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.098660, -0.296266, 0.619379, 0.713957, -0.095540, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.425286, -0.170723, -0.416884, 0.327510, 0.713394, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.540280, 0.663478, 0.105553, 0.311852, 0.399377, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.618763, 0.457085, 0.518810, -0.320386, 0.190773, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.208265, 30.865606, 36.613849, 41.994054, 185.018385], [8.504930, 9.008840, 10.128524, 10.912793, 82.946637], [36.043428, 36.699042, 42.881607, 47.951992, 219.998113], [45.980270, 47.622304, 54.762452, 60.500084, 271.283173], [51.655646, 52.267995, 61.955346, 70.506051, 360.133774]]
### 10
mean: [3.194857, -3.585186, 2.998105, 3.379820, 2.731832]
std: [2.913865, 3.079572, 2.556031, 2.828232, 2.461459]
pca: [[-0.469549, -0.127379, -0.085578, 0.804624, 0.329476, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.495624, 0.649908, 0.225481, 0.218222, 0.483233, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.411165, 0.629328, -0.630236, -0.188768, -0.045365, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.455767, -0.076990, 0.326248, -0.509070, 0.648659, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.396358, 0.399266, 0.661966, 0.100863, -0.484886, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.033347, 48.458780, 57.019341, 64.560629, 287.537103], [51.072526, 52.458418, 61.133167, 67.499513, 322.666726], [39.302881, 42.712604, 48.984569, 57.255555, 269.829483], [46.183800, 47.036291, 55.418481, 62.691791, 304.183850], [38.417141, 40.942873, 47.445265, 55.150498, 245.864914]]
### 12
mean: [-8.137614]
std: [6.720150]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[112.055558, 117.139232, 134.937818, 145.307534, 732.385300]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.705419, -0.088844, 0.606014, 0.555713, -0.338805], [0.071227, -0.59029, 0.103048, -0.343705, -0.442468], [-0.389313, 0.025552, -0.139124, 0.009104, 0.54919], [0.053761, 0.270466, 0.091564, 0.272948, 0.693264], [-0.150378, -0.109276, -0.327754, 0.21478, 0.495987]], "network.0.bias": [0.201204, 0.056773, 0.178892, -0.108199, -0.250321], "network.2.weight": [[-0.119551, -0.171144, 0.623572, 0.21445, 0.100903], [-0.176677, 0.44103, 0.362387, 0.341404, 0.194833], [0.045876, -0.066482, 0.207308, -0.172234, -0.340518], [0.686626, -0.390972, -0.287353, 0.235509, -0.387968], [-0.277234, -0.371893, -0.187867, -0.46752, 0.206414]], "network.2.bias": [-0.044253, 0.031879, 0.042558, -0.065353, 0.060984], "network.4.weight": [[0.00578, -0.43572, -0.252397, 0.549985, -0.236444], [-0.433239, -0.366549, -0.383022, 0.585769, -0.171283], [-0.090862, -0.022346, -0.620272, -0.240522, 0.075843], [0.026112, -0.226655, 0.319527, 0.489767, -0.402003], [0.685678, 0.604362, -0.067714, -0.148664, 0.753394]], "network.4.bias": [-0.094513, 0.467464, -0.252485, 0.348098, -0.028217], "network.6.weight": [[0.168618, 0.47722, -0.502612, 0.310379, -0.214451], [0.184909, 0.626347, -0.189174, 0.546644, -0.434381], [0.187068, 0.31518, -0.404196, 0.026961, -0.212964], [0.482995, 0.504857, -0.351432, 0.061417, -0.264691], [0.379469, -0.116502, -0.013023, -0.361866, 0.353109]], "network.6.bias": [-0.055219, 0.334256, 0.24174, 0.238172, -0.288995], "network.8.weight": [[-0.716221, -0.064267, -0.737375, -0.31043, 0.401136], [-0.04736, 0.364353, -0.317402, 0.145799, 0.062102], [0.689103, 0.373846, 0.297974, 0.433598, -0.165761], [-0.609251, -0.736214, -0.037814, -0.655238, 0.006616], [0.761773, 0.523389, 0.862621, 0.607246, -0.495259]], "network.8.bias": [0.143259, 0.253165, -0.177391, 0.392734, 0.179132], "network.10.weight": [[-0.384759, 0.129214, 0.721911, -0.829208, 0.391074], [0.091559, 0.361702, -0.57261, 0.310002, -0.642511], [-0.790411, 0.722112, -0.254764, -0.831927, 0.836223], [-0.577653, 0.016291, 0.337908, -0.41636, 0.64978], [-0.745448, -0.084395, 0.432607, -0.814425, 0.472399]], "network.10.bias": [-0.213938, 0.097391, -0.269001, -0.046872, -0.120542], "network.12.weight": [[-0.862946, 0.506682, -0.469628, -0.518851, -0.72549]], "network.12.bias": [-0.091902]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6858323216438293, "train_acc": 0.57, "val_loss": 0.69712233543396, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6820897161960602, "train_acc": 0.57, "val_loss": 0.6877580285072327, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6720631420612335, "train_acc": 0.57, "val_loss": 0.663433849811554, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6391895413398743, "train_acc": 0.57, "val_loss": 0.5951241850852966, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5531008839607239, "train_acc": 0.495, "val_loss": 0.5146092772483826, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.4701404869556427, "train_acc": 0.815, "val_loss": 0.4765070676803589, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4087736904621124, "train_acc": 0.845, "val_loss": 0.4403494894504547, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3979514092206955, "train_acc": 0.85, "val_loss": 0.45788097381591797, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.37994837760925293, "train_acc": 0.845, "val_loss": 0.474059522151947, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.35005316138267517, "train_acc": 0.84, "val_loss": 0.449412077665329, "val_acc": 0.8}], "summary": {"total_epochs": 10, "degraded_epochs": 4, "improved_epochs": 6, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.69712233543396, "final_val_loss": 0.5951241850852966, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5146092772483826, "final_val_loss": 0.449412077665329, "initial_val_acc": 0.76, "final_val_acc": 0.8, "best_val_acc": 0.8, "best_epoch": 6}, "improvement": 0.28, "first_improvement_epoch": 3}}
|
109
|
{"target_pattern": "alternating", "degraded_accuracy": 0.6, "improved_accuracy": 1.0, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7898, "learning_rate": 0.06855529555649914, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.529605,
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"network.8.weight": [
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.869221, 1.144387, 0.715782, 4.242444, -2.261142, -2.406181, -1.879538, 0.840068]
std: [2.454686, 2.780175, 2.554757, 3.171999, 3.888750, 1.317507, 2.119801, 1.822360]
pca: [[-0.314578, 0.392356, 0.217929, -0.419645, -0.135970, 0.301813, 0.335385, 0.549036, 0.000000, 0.000000], [-0.453180, -0.299902, -0.296241, -0.334052, -0.076704, -0.063042, 0.513714, -0.481225, 0.000000, 0.000000], [-0.122147, 0.090357, 0.683479, 0.486873, -0.164268, 0.142710, 0.321541, -0.349267, 0.000000, 0.000000], [0.372056, -0.447934, 0.503335, -0.426086, 0.406674, -0.140959, 0.189274, 0.070402, 0.000000, 0.000000], [0.702963, 0.416075, -0.196262, -0.171308, -0.191474, 0.134301, 0.357363, -0.287145, 0.000000, 0.000000], [-0.018976, 0.214418, -0.191494, 0.380552, 0.431162, -0.502897, 0.506971, 0.276315, 0.000000, 0.000000], [-0.194427, 0.453804, 0.047840, -0.163408, 0.692437, 0.214586, -0.221553, -0.390726, 0.000000, 0.000000], [0.100017, -0.349679, -0.258419, 0.304703, 0.285007, 0.740074, 0.224920, 0.169023, 0.000000, 0.000000]]
fourier: [[40.291770, 40.819963, 41.567078, 51.577632, 78.229922], [44.885535, 45.507767, 54.455669, 64.970123, 102.994794], [39.562187, 39.883427, 44.632166, 45.044205, 64.420390], [48.227811, 56.239948, 60.366064, 65.215963, 381.819966], [59.176390, 60.931836, 62.277439, 62.945100, 203.502828], [20.975499, 21.535607, 23.928331, 26.750954, 216.556267], [32.464101, 37.362714, 39.617129, 41.369534, 169.158442], [29.566438, 30.314839, 31.186953, 31.366942, 75.606100]]
### 2
mean: [-1.953324, -0.940512, -1.099393, -4.173296, 4.399824, -2.715659, -1.255999, 1.858201]
std: [3.296154, 2.297522, 0.983487, 2.575927, 3.550948, 1.775398, 0.984969, 2.418350]
pca: [[0.427887, 0.643667, -0.292620, 0.126609, -0.438425, -0.145265, -0.248889, -0.160270, 0.000000, 0.000000], [0.310880, 0.424262, 0.112982, -0.387076, 0.263679, 0.279002, 0.640809, 0.052500, 0.000000, 0.000000], [0.086088, 0.149605, 0.409115, 0.065351, -0.055455, -0.510142, 0.011529, 0.731511, 0.000000, 0.000000], [-0.400861, 0.327841, 0.104196, 0.753223, -0.017460, 0.211583, 0.329450, -0.004400, 0.000000, 0.000000], [0.578108, -0.404874, 0.348711, 0.346694, -0.150538, -0.169064, 0.299369, -0.345262, 0.000000, 0.000000], [-0.177101, 0.334214, 0.540960, -0.106449, 0.365504, -0.287598, -0.278511, -0.509012, 0.000000, 0.000000], [-0.024867, 0.009569, 0.555898, -0.164133, -0.512485, 0.581064, -0.239674, 0.074883, 0.000000, 0.000000], [0.431246, 0.010939, 0.010824, 0.322582, 0.562122, 0.383553, -0.440584, 0.229179, 0.000000, 0.000000]]
fourier: [[51.279368, 56.549279, 57.269553, 66.217036, 175.799129], [34.627498, 37.333090, 39.044300, 45.483460, 84.646099], [14.244391, 15.696828, 16.086835, 17.437276, 98.945404], [44.081165, 45.406606, 47.291790, 48.325495, 375.596673], [55.577308, 59.429022, 68.045245, 75.572620, 395.984170], [28.624519, 30.958883, 32.106880, 37.730157, 244.409279], [14.259357, 15.382605, 18.439024, 19.814501, 113.039868], [34.935250, 36.872195, 46.178929, 56.401919, 167.238099]]
### 4
mean: [1.242423, 4.118942, 1.126309, -0.202282, -0.770962, -2.590458, 4.827140, -0.554555]
std: [1.436132, 3.516582, 1.324412, 2.427700, 1.758029, 1.744449, 4.124957, 2.113517]
pca: [[0.048556, 0.379451, -0.441958, 0.409693, 0.467914, -0.157452, -0.473978, 0.148640, 0.000000, 0.000000], [0.585367, 0.040635, -0.096522, 0.044060, -0.083101, 0.721047, 0.006552, 0.342898, 0.000000, 0.000000], [0.010234, 0.359565, 0.056060, 0.567939, 0.054971, 0.035587, 0.709665, -0.192349, 0.000000, 0.000000], [-0.182398, 0.589618, -0.033094, -0.563076, 0.253682, 0.339153, 0.026242, -0.347655, 0.000000, 0.000000], [-0.234615, 0.279872, -0.554375, -0.176336, -0.542367, -0.148606, 0.207368, 0.411042, 0.000000, 0.000000], [-0.274836, -0.153817, 0.121459, -0.180362, 0.578806, 0.021579, 0.342332, 0.633127, 0.000000, 0.000000], [0.666546, 0.272991, 0.176641, -0.311851, 0.067557, -0.561434, 0.141462, 0.113826, 0.000000, 0.000000], [-0.216222, 0.448238, 0.661690, 0.172411, -0.270245, 0.035373, -0.301304, 0.345983, 0.000000, 0.000000]]
fourier: [[21.221274, 22.635135, 23.824945, 25.757805, 111.818042], [50.828378, 64.778309, 65.024185, 67.908820, 370.704762], [19.661750, 20.783789, 21.254361, 22.196415, 101.367809], [35.738004, 37.032848, 39.170153, 39.190151, 44.640615], [28.140000, 28.417071, 28.469970, 31.930175, 69.386625], [28.485772, 28.549480, 33.798439, 37.786849, 233.141273], [65.664693, 71.419667, 78.779228, 87.705157, 434.442598], [31.932119, 32.365213, 32.524287, 37.154659, 49.909990]]
### 6
mean: [5.287695, 8.196020, -1.805947, -1.244156, 6.247734, 0.481732, -3.262301, 6.170466]
std: [5.015034, 7.631104, 6.506483, 4.889960, 5.840743, 4.546232, 2.673664, 6.307698]
pca: [[0.329058, 0.240035, -0.266224, 0.324410, 0.642480, -0.096944, -0.100954, -0.474992, 0.000000, 0.000000], [0.507737, 0.311349, 0.026238, -0.001812, -0.011290, 0.266633, 0.706133, 0.273367, 0.000000, 0.000000], [-0.398081, 0.468948, -0.381687, 0.258427, -0.484148, 0.074632, 0.197968, -0.360540, 0.000000, 0.000000], [-0.297216, 0.360954, -0.189228, 0.010568, 0.328967, 0.534304, -0.326545, 0.495100, 0.000000, 0.000000], [0.388183, 0.241829, 0.130420, -0.497910, -0.270061, 0.388294, -0.394653, -0.382692, 0.000000, 0.000000], [-0.228855, 0.485989, 0.804199, 0.116632, 0.128078, -0.167233, 0.016956, -0.080263, 0.000000, 0.000000], [-0.012126, -0.417805, 0.288356, 0.535732, -0.056338, 0.631894, 0.032073, -0.227247, 0.000000, 0.000000], [0.428848, 0.161299, 0.007022, 0.528520, -0.389823, -0.224564, -0.433930, 0.346414, 0.000000, 0.000000]]
fourier: [[72.585933, 88.665803, 94.708745, 94.743928, 475.892554], [107.530339, 132.158524, 139.999403, 145.602348, 737.641833], [106.511608, 106.926641, 108.874505, 109.247169, 162.535224], [80.241255, 80.826850, 81.232663, 82.372744, 111.974072], [82.070970, 101.534580, 107.066560, 111.215746, 562.296066], [68.069581, 71.336675, 74.894908, 77.464283, 79.824744], [40.627708, 41.191232, 42.870135, 54.048949, 293.607076], [93.592884, 102.753840, 108.941274, 122.144701, 555.341906]]
### 8
mean: [-13.378983]
std: [18.493862]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[268.372637, 276.630815, 301.756657, 355.945990, 1204.108585]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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],
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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.869221, 1.144387, 0.715782, 4.242444, -2.261142, -2.406181, -1.879538, 0.840068]
std: [2.454686, 2.780175, 2.554757, 3.171999, 3.888750, 1.317507, 2.119801, 1.822360]
pca: [[-0.314578, 0.392356, 0.217929, -0.419645, -0.135970, 0.301813, 0.335385, 0.549036, 0.000000, 0.000000], [-0.453180, -0.299902, -0.296241, -0.334052, -0.076704, -0.063042, 0.513714, -0.481225, 0.000000, 0.000000], [-0.122147, 0.090357, 0.683479, 0.486873, -0.164268, 0.142710, 0.321541, -0.349267, 0.000000, 0.000000], [0.372056, -0.447934, 0.503335, -0.426086, 0.406674, -0.140959, 0.189274, 0.070402, 0.000000, 0.000000], [0.702963, 0.416075, -0.196262, -0.171308, -0.191474, 0.134301, 0.357363, -0.287145, 0.000000, 0.000000], [-0.018976, 0.214418, -0.191494, 0.380552, 0.431162, -0.502897, 0.506971, 0.276315, 0.000000, 0.000000], [-0.194427, 0.453804, 0.047840, -0.163408, 0.692437, 0.214586, -0.221553, -0.390726, 0.000000, 0.000000], [0.100017, -0.349679, -0.258419, 0.304703, 0.285007, 0.740074, 0.224920, 0.169023, 0.000000, 0.000000]]
fourier: [[40.291770, 40.819963, 41.567078, 51.577632, 78.229922], [44.885535, 45.507767, 54.455669, 64.970123, 102.994794], [39.562187, 39.883427, 44.632166, 45.044205, 64.420390], [48.227811, 56.239948, 60.366064, 65.215963, 381.819966], [59.176390, 60.931836, 62.277439, 62.945100, 203.502828], [20.975499, 21.535607, 23.928331, 26.750954, 216.556267], [32.464101, 37.362714, 39.617129, 41.369534, 169.158442], [29.566438, 30.314839, 31.186953, 31.366942, 75.606100]]
### 2
mean: [-1.953324, -0.940512, -1.099393, -4.173296, 4.399824, -2.715659, -1.255999, 1.858201]
std: [3.296154, 2.297522, 0.983487, 2.575927, 3.550948, 1.775398, 0.984969, 2.418350]
pca: [[0.427887, 0.643667, -0.292620, 0.126609, -0.438425, -0.145265, -0.248889, -0.160270, 0.000000, 0.000000], [0.310880, 0.424262, 0.112982, -0.387076, 0.263679, 0.279002, 0.640809, 0.052500, 0.000000, 0.000000], [0.086088, 0.149605, 0.409115, 0.065351, -0.055455, -0.510142, 0.011529, 0.731511, 0.000000, 0.000000], [-0.400861, 0.327841, 0.104196, 0.753223, -0.017460, 0.211583, 0.329450, -0.004400, 0.000000, 0.000000], [0.578108, -0.404874, 0.348711, 0.346694, -0.150538, -0.169064, 0.299369, -0.345262, 0.000000, 0.000000], [-0.177101, 0.334214, 0.540960, -0.106449, 0.365504, -0.287598, -0.278511, -0.509012, 0.000000, 0.000000], [-0.024867, 0.009569, 0.555898, -0.164133, -0.512485, 0.581064, -0.239674, 0.074883, 0.000000, 0.000000], [0.431246, 0.010939, 0.010824, 0.322582, 0.562122, 0.383553, -0.440584, 0.229179, 0.000000, 0.000000]]
fourier: [[51.279368, 56.549279, 57.269553, 66.217036, 175.799129], [34.627498, 37.333090, 39.044300, 45.483460, 84.646099], [14.244391, 15.696828, 16.086835, 17.437276, 98.945404], [44.081165, 45.406606, 47.291790, 48.325495, 375.596673], [55.577308, 59.429022, 68.045245, 75.572620, 395.984170], [28.624519, 30.958883, 32.106880, 37.730157, 244.409279], [14.259357, 15.382605, 18.439024, 19.814501, 113.039868], [34.935250, 36.872195, 46.178929, 56.401919, 167.238099]]
### 4
mean: [1.242423, 4.118942, 1.126309, -0.202282, -0.770962, -2.590458, 4.827140, -0.554555]
std: [1.436132, 3.516582, 1.324412, 2.427700, 1.758029, 1.744449, 4.124957, 2.113517]
pca: [[0.048556, 0.379451, -0.441958, 0.409693, 0.467914, -0.157452, -0.473978, 0.148640, 0.000000, 0.000000], [0.585367, 0.040635, -0.096522, 0.044060, -0.083101, 0.721047, 0.006552, 0.342898, 0.000000, 0.000000], [0.010234, 0.359565, 0.056060, 0.567939, 0.054971, 0.035587, 0.709665, -0.192349, 0.000000, 0.000000], [-0.182398, 0.589618, -0.033094, -0.563076, 0.253682, 0.339153, 0.026242, -0.347655, 0.000000, 0.000000], [-0.234615, 0.279872, -0.554375, -0.176336, -0.542367, -0.148606, 0.207368, 0.411042, 0.000000, 0.000000], [-0.274836, -0.153817, 0.121459, -0.180362, 0.578806, 0.021579, 0.342332, 0.633127, 0.000000, 0.000000], [0.666546, 0.272991, 0.176641, -0.311851, 0.067557, -0.561434, 0.141462, 0.113826, 0.000000, 0.000000], [-0.216222, 0.448238, 0.661690, 0.172411, -0.270245, 0.035373, -0.301304, 0.345983, 0.000000, 0.000000]]
fourier: [[21.221274, 22.635135, 23.824945, 25.757805, 111.818042], [50.828378, 64.778309, 65.024185, 67.908820, 370.704762], [19.661750, 20.783789, 21.254361, 22.196415, 101.367809], [35.738004, 37.032848, 39.170153, 39.190151, 44.640615], [28.140000, 28.417071, 28.469970, 31.930175, 69.386625], [28.485772, 28.549480, 33.798439, 37.786849, 233.141273], [65.664693, 71.419667, 78.779228, 87.705157, 434.442598], [31.932119, 32.365213, 32.524287, 37.154659, 49.909990]]
### 6
mean: [5.287695, 8.196020, -1.805947, -1.244156, 6.247734, 0.481732, -3.262301, 6.170466]
std: [5.015034, 7.631104, 6.506483, 4.889960, 5.840743, 4.546232, 2.673664, 6.307698]
pca: [[0.329058, 0.240035, -0.266224, 0.324410, 0.642480, -0.096944, -0.100954, -0.474992, 0.000000, 0.000000], [0.507737, 0.311349, 0.026238, -0.001812, -0.011290, 0.266633, 0.706133, 0.273367, 0.000000, 0.000000], [-0.398081, 0.468948, -0.381687, 0.258427, -0.484148, 0.074632, 0.197968, -0.360540, 0.000000, 0.000000], [-0.297216, 0.360954, -0.189228, 0.010568, 0.328967, 0.534304, -0.326545, 0.495100, 0.000000, 0.000000], [0.388183, 0.241829, 0.130420, -0.497910, -0.270061, 0.388294, -0.394653, -0.382692, 0.000000, 0.000000], [-0.228855, 0.485989, 0.804199, 0.116632, 0.128078, -0.167233, 0.016956, -0.080263, 0.000000, 0.000000], [-0.012126, -0.417805, 0.288356, 0.535732, -0.056338, 0.631894, 0.032073, -0.227247, 0.000000, 0.000000], [0.428848, 0.161299, 0.007022, 0.528520, -0.389823, -0.224564, -0.433930, 0.346414, 0.000000, 0.000000]]
fourier: [[72.585933, 88.665803, 94.708745, 94.743928, 475.892554], [107.530339, 132.158524, 139.999403, 145.602348, 737.641833], [106.511608, 106.926641, 108.874505, 109.247169, 162.535224], [80.241255, 80.826850, 81.232663, 82.372744, 111.974072], [82.070970, 101.534580, 107.066560, 111.215746, 562.296066], [68.069581, 71.336675, 74.894908, 77.464283, 79.824744], [40.627708, 41.191232, 42.870135, 54.048949, 293.607076], [93.592884, 102.753840, 108.941274, 122.144701, 555.341906]]
### 8
mean: [-13.378983]
std: [18.493862]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[268.372637, 276.630815, 301.756657, 355.945990, 1204.108585]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.607069, -0.044718, -0.798984, 0.14315, 0.798212], [0.220355, 0.694172, -0.896312, 0.698965, -0.416308], [-1.037417, -0.213029, 0.719306, 0.44306, 0.426544], [0.558007, -0.029882, 1.083681, 0.26345, 0.574599], [0.681741, -0.913639, 0.366507, -1.311684, 0.359934], [-0.318811, 0.028353, -0.136428, -0.408546, -0.257792], [-0.641993, 0.077807, -0.678857, -0.324427, 0.587642], [0.418464, 0.275258, 0.354805, 0.020387, -0.744676]], "network.0.bias": [0.345277, 0.492084, -0.583764, 0.065173, 0.158644, -0.582074, 0.16662, -0.048703], "network.2.weight": [[0.278119, -1.186973, -0.174389, 0.179307, 0.827199, 0.036244, -0.282537, -0.727078], [0.599903, -0.686972, 0.074823, 0.080967, 0.556828, 0.236444, -0.551333, -0.718749], [0.22317, -0.365171, 0.284852, -0.120695, 0.003782, 0.202766, -0.083903, -0.076631], [-0.419944, -0.231423, -0.581748, -0.624849, -0.313014, 0.18545, -0.049917, 0.374862], [0.924676, -0.359014, 0.938399, 0.638992, 0.102982, -0.196714, 0.62747, 0.360213], [-0.039437, -0.212203, 0.023172, -0.501293, -0.112088, 0.146815, -0.181986, -0.221996], [0.015106, -0.09035, 0.293304, -0.07032, -0.472852, -0.032855, -0.263029, -0.217688], [0.637293, -0.49424, 0.309848, 0.352332, 0.493536, -0.031809, 0.822405, 0.028749]], "network.2.bias": [-0.069277, 0.119708, -0.370917, -0.316372, -0.122427, 0.129157, -0.665454, -0.005647], "network.4.weight": [[0.768327, 0.575541, 0.040505, -0.681007, 0.202946, 0.020641, -0.380031, -0.377087], [-0.385487, -0.475413, 0.019131, 0.13381, 0.895133, 0.406456, 0.129343, 0.364785], [0.647386, 0.463605, -0.128861, -0.189689, -0.007938, 0.048619, -0.349002, -0.057396], [1.111034, 1.275658, 0.202027, -0.287108, -0.276344, 0.190357, 0.037229, -0.405434], [0.710105, 0.969005, -0.151839, 0.011605, -0.179096, -0.300768, -0.133218, -0.667927], [-0.034797, -0.058643, 0.23812, -0.425107, -0.441061, 0.164485, -0.069821, -0.080229], [-0.131413, -0.211275, 0.031413, 0.535595, 0.914731, -0.03248, 0.691105, 0.528106], [0.791827, 0.788491, -0.170868, -0.274835, -0.537544, 0.083561, -0.060142, 0.127939]], "network.4.bias": [0.492569, -0.178275, 0.774563, 0.723958, 0.604602, -0.44627, -0.135899, 0.836533], "network.6.weight": [[0.481048, 0.698617, -0.151254, -0.396884, -0.206449, -0.00244, 0.555794, -0.177882], [0.444254, 0.987748, -0.327964, -0.347523, -0.117609, 0.401786, 0.930797, -0.673422], [0.389941, -0.50814, 0.838626, 0.789174, 0.806317, -0.23878, -0.55043, 1.052853], [0.245918, -0.128526, 0.828027, 0.453164, 0.547193, 0.13655, -0.619839, 1.028578], [0.305481, 0.885258, -0.227308, -0.245322, 0.12094, -0.298754, 0.60925, -0.580987], [0.052968, -0.482579, 0.52711, 0.687327, 0.607597, -0.200141, 0.030481, 1.034827], [-0.633414, -0.205134, -0.046834, -0.332232, -0.377824, 0.143735, -0.095448, -0.328463], [0.303344, 0.534717, -0.450491, -0.400472, -0.126288, 0.182586, 0.984356, -0.719278]], "network.6.bias": [-0.309262, 0.02418, 0.250265, 0.075669, -0.073521, 0.529605, -0.622596, -0.018186], "network.8.weight": [[-0.464033, -0.646523, 0.676283, 0.472718, -0.804264, 0.777997, -0.086457, -0.489979]], "network.8.bias": [-0.059029]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6770781874656677, "train_acc": 0.52, "val_loss": 0.7538005709648132, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6154434978961945, "train_acc": 0.605, "val_loss": 0.6655582189559937, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6195619702339172, "train_acc": 0.625, "val_loss": 0.5165419578552246, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.39885908365249634, "train_acc": 0.825, "val_loss": 0.44959166646003723, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.23897739499807358, "train_acc": 0.815, "val_loss": 0.3848322927951813, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.16164962947368622, "train_acc": 0.93, "val_loss": 0.19359596073627472, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.09147632867097855, "train_acc": 0.95, "val_loss": 0.10851210355758667, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.07325686607509851, "train_acc": 0.96, "val_loss": 0.14266237616539001, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.07264312449842691, "train_acc": 0.99, "val_loss": 0.13189812004566193, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.0604107566177845, "train_acc": 0.99, "val_loss": 0.07045881450176239, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.04865499772131443, "train_acc": 0.99, "val_loss": 0.006012843456119299, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.04019150696694851, "train_acc": 0.98, "val_loss": 0.013234295882284641, "val_acc": 1.0}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7538005709648132, "final_val_loss": 0.6655582189559937, "initial_val_acc": 0.44, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.5165419578552246, "final_val_loss": 0.013234295882284641, "initial_val_acc": 0.8, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 10}, "improvement": 0.4, "first_improvement_epoch": 1}}
|
110
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.54, "improved_accuracy": 0.96, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6191, "learning_rate": 0.014589337002906898, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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}
## Activation Signature
### 0
mean: [-0.467179, 0.928854, 2.023001, 3.101754, -0.116250, -0.041514]
std: [1.785660, 1.443174, 1.535333, 2.093787, 1.137512, 1.187607]
pca: [[-0.569142, 0.124832, 0.619849, -0.335470, 0.181711, -0.361557, 0.000000, 0.000000, 0.000000, 0.000000], [0.255191, -0.243943, 0.600268, 0.403203, -0.580843, -0.122870, 0.000000, 0.000000, 0.000000, 0.000000], [0.578206, -0.090992, 0.389060, 0.035660, 0.708803, 0.048550, 0.000000, 0.000000, 0.000000, 0.000000], [0.320722, 0.920255, 0.070261, -0.035330, -0.172037, -0.120358, 0.000000, 0.000000, 0.000000, 0.000000], [-0.345325, 0.235592, 0.259403, 0.355865, 0.097643, 0.788533, 0.000000, 0.000000, 0.000000, 0.000000], [-0.233499, 0.119397, -0.178527, 0.771834, 0.296767, -0.464276, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.534065, 27.929191, 31.392108, 36.853740, 42.046119], [23.421984, 23.634250, 24.665260, 25.212979, 83.596899], [23.969470, 26.281420, 26.451136, 29.791811, 182.070129], [33.632069, 33.962618, 35.455728, 38.146000, 279.157876], [16.194794, 18.851732, 19.415428, 19.835477, 20.098231], [18.168348, 19.503068, 20.078741, 20.391007, 20.965274]]
### 2
mean: [0.372791, 1.350569, 0.609029, 1.694070, -0.627896, 1.403482]
std: [0.501771, 1.043819, 0.790633, 2.035116, 0.491031, 1.644496]
pca: [[-0.117996, 0.321318, 0.346138, 0.373764, 0.566410, 0.550000, 0.000000, 0.000000, 0.000000, 0.000000], [0.301825, 0.677741, 0.382193, 0.180621, -0.213414, -0.474687, 0.000000, 0.000000, 0.000000, 0.000000], [0.220121, 0.387664, -0.573530, -0.356769, 0.565647, -0.158383, 0.000000, 0.000000, 0.000000, 0.000000], [0.713024, -0.416200, -0.083792, 0.504868, 0.210233, -0.110744, 0.000000, 0.000000, 0.000000, 0.000000], [0.010759, -0.327129, 0.604613, -0.449175, 0.452380, -0.347718, 0.000000, 0.000000, 0.000000, 0.000000], [0.581383, 0.083081, 0.180559, -0.493704, -0.254620, 0.560281, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.007196, 8.299323, 8.454443, 8.745896, 33.551146], [16.238931, 17.318716, 18.622862, 18.816858, 121.551175], [12.246731, 13.220307, 14.248785, 14.851424, 54.812591], [29.677522, 30.550505, 33.279490, 33.352567, 152.466260], [7.810319, 8.793772, 9.387640, 9.540490, 56.510663], [25.040376, 26.482292, 26.659347, 26.977342, 126.313360]]
### 4
mean: [1.999703, -0.463941, -0.221530, -0.253770, -0.232808, 1.154110]
std: [1.831478, 0.148128, 0.585495, 0.373486, 0.350616, 1.199326]
pca: [[0.802907, -0.291807, -0.448326, -0.035811, 0.256092, -0.048229, 0.000000, 0.000000, 0.000000, 0.000000], [0.040474, 0.006292, 0.352622, 0.560331, 0.465618, -0.585841, 0.000000, 0.000000, 0.000000, 0.000000], [-0.225873, 0.601768, -0.443069, -0.182943, 0.597088, 0.023751, 0.000000, 0.000000, 0.000000, 0.000000], [0.154337, -0.054059, 0.497388, 0.036047, 0.464628, 0.713221, 0.000000, 0.000000, 0.000000, 0.000000], [-0.141291, -0.007461, -0.431244, 0.793920, -0.137815, 0.380405, 0.000000, 0.000000, 0.000000, 0.000000], [0.508822, 0.741422, 0.212096, 0.140252, -0.355289, 0.022543, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.234239, 29.942934, 31.791323, 32.697285, 179.973280], [2.195053, 2.285734, 2.376381, 3.347296, 41.754681], [8.676781, 9.398125, 9.594632, 9.809464, 19.937699], [5.884756, 5.916936, 5.950548, 7.631284, 22.839314], [5.360995, 6.387707, 6.662305, 7.691844, 20.952693], [19.146476, 19.596762, 20.531212, 22.819580, 103.869915]]
### 6
mean: [-0.339499, 0.848608, -0.069717, 1.149175, 1.451589, 1.433689]
std: [0.644780, 0.897925, 0.560483, 1.389686, 1.646461, 1.454875]
pca: [[-0.223671, -0.008678, 0.735041, 0.541113, -0.331342, -0.083781, 0.000000, 0.000000, 0.000000, 0.000000], [0.311703, -0.342287, 0.070822, 0.421040, 0.718130, -0.296107, 0.000000, 0.000000, 0.000000, 0.000000], [-0.188485, 0.855661, 0.155402, -0.012000, 0.449504, -0.077260, 0.000000, 0.000000, 0.000000, 0.000000], [0.482880, 0.367882, -0.427934, 0.578696, -0.336615, -0.012809, 0.000000, 0.000000, 0.000000, 0.000000], [0.572707, 0.115495, 0.338015, -0.432799, -0.204622, -0.561452, 0.000000, 0.000000, 0.000000, 0.000000], [0.506083, 0.043950, 0.364921, -0.087027, 0.131406, 0.764160, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.808712, 11.142167, 11.217424, 11.416610, 30.554907], [14.270125, 15.165031, 15.884995, 16.305030, 76.374717], [8.708696, 8.714819, 8.935982, 9.266573, 10.769031], [22.725982, 23.799025, 24.032175, 25.272212, 103.425768], [26.816812, 27.518381, 28.872146, 30.030046, 130.643011], [23.662078, 24.381551, 25.625122, 26.512478, 129.031966]]
### 8
mean: [-1.917130]
std: [2.297009]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.258225, 39.854395, 40.157924, 41.156469, 172.541696]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.180515,
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0.599133
],
[
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0.01482,
0.007465
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[
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0.153413,
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],
[
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0.59336,
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[
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],
[
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0.418672,
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## Activation Signature
### 0
mean: [-0.467179, 0.928854, 2.023001, 3.101754, -0.116250, -0.041514]
std: [1.785660, 1.443174, 1.535333, 2.093787, 1.137512, 1.187607]
pca: [[-0.569142, 0.124832, 0.619849, -0.335470, 0.181711, -0.361557, 0.000000, 0.000000, 0.000000, 0.000000], [0.255191, -0.243943, 0.600268, 0.403203, -0.580843, -0.122870, 0.000000, 0.000000, 0.000000, 0.000000], [0.578206, -0.090992, 0.389060, 0.035660, 0.708803, 0.048550, 0.000000, 0.000000, 0.000000, 0.000000], [0.320722, 0.920255, 0.070261, -0.035330, -0.172037, -0.120358, 0.000000, 0.000000, 0.000000, 0.000000], [-0.345325, 0.235592, 0.259403, 0.355865, 0.097643, 0.788533, 0.000000, 0.000000, 0.000000, 0.000000], [-0.233499, 0.119397, -0.178527, 0.771834, 0.296767, -0.464276, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.534065, 27.929191, 31.392108, 36.853740, 42.046119], [23.421984, 23.634250, 24.665260, 25.212979, 83.596899], [23.969470, 26.281420, 26.451136, 29.791811, 182.070129], [33.632069, 33.962618, 35.455728, 38.146000, 279.157876], [16.194794, 18.851732, 19.415428, 19.835477, 20.098231], [18.168348, 19.503068, 20.078741, 20.391007, 20.965274]]
### 2
mean: [0.372791, 1.350569, 0.609029, 1.694070, -0.627896, 1.403482]
std: [0.501771, 1.043819, 0.790633, 2.035116, 0.491031, 1.644496]
pca: [[-0.117996, 0.321318, 0.346138, 0.373764, 0.566410, 0.550000, 0.000000, 0.000000, 0.000000, 0.000000], [0.301825, 0.677741, 0.382193, 0.180621, -0.213414, -0.474687, 0.000000, 0.000000, 0.000000, 0.000000], [0.220121, 0.387664, -0.573530, -0.356769, 0.565647, -0.158383, 0.000000, 0.000000, 0.000000, 0.000000], [0.713024, -0.416200, -0.083792, 0.504868, 0.210233, -0.110744, 0.000000, 0.000000, 0.000000, 0.000000], [0.010759, -0.327129, 0.604613, -0.449175, 0.452380, -0.347718, 0.000000, 0.000000, 0.000000, 0.000000], [0.581383, 0.083081, 0.180559, -0.493704, -0.254620, 0.560281, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.007196, 8.299323, 8.454443, 8.745896, 33.551146], [16.238931, 17.318716, 18.622862, 18.816858, 121.551175], [12.246731, 13.220307, 14.248785, 14.851424, 54.812591], [29.677522, 30.550505, 33.279490, 33.352567, 152.466260], [7.810319, 8.793772, 9.387640, 9.540490, 56.510663], [25.040376, 26.482292, 26.659347, 26.977342, 126.313360]]
### 4
mean: [1.999703, -0.463941, -0.221530, -0.253770, -0.232808, 1.154110]
std: [1.831478, 0.148128, 0.585495, 0.373486, 0.350616, 1.199326]
pca: [[0.802907, -0.291807, -0.448326, -0.035811, 0.256092, -0.048229, 0.000000, 0.000000, 0.000000, 0.000000], [0.040474, 0.006292, 0.352622, 0.560331, 0.465618, -0.585841, 0.000000, 0.000000, 0.000000, 0.000000], [-0.225873, 0.601768, -0.443069, -0.182943, 0.597088, 0.023751, 0.000000, 0.000000, 0.000000, 0.000000], [0.154337, -0.054059, 0.497388, 0.036047, 0.464628, 0.713221, 0.000000, 0.000000, 0.000000, 0.000000], [-0.141291, -0.007461, -0.431244, 0.793920, -0.137815, 0.380405, 0.000000, 0.000000, 0.000000, 0.000000], [0.508822, 0.741422, 0.212096, 0.140252, -0.355289, 0.022543, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.234239, 29.942934, 31.791323, 32.697285, 179.973280], [2.195053, 2.285734, 2.376381, 3.347296, 41.754681], [8.676781, 9.398125, 9.594632, 9.809464, 19.937699], [5.884756, 5.916936, 5.950548, 7.631284, 22.839314], [5.360995, 6.387707, 6.662305, 7.691844, 20.952693], [19.146476, 19.596762, 20.531212, 22.819580, 103.869915]]
### 6
mean: [-0.339499, 0.848608, -0.069717, 1.149175, 1.451589, 1.433689]
std: [0.644780, 0.897925, 0.560483, 1.389686, 1.646461, 1.454875]
pca: [[-0.223671, -0.008678, 0.735041, 0.541113, -0.331342, -0.083781, 0.000000, 0.000000, 0.000000, 0.000000], [0.311703, -0.342287, 0.070822, 0.421040, 0.718130, -0.296107, 0.000000, 0.000000, 0.000000, 0.000000], [-0.188485, 0.855661, 0.155402, -0.012000, 0.449504, -0.077260, 0.000000, 0.000000, 0.000000, 0.000000], [0.482880, 0.367882, -0.427934, 0.578696, -0.336615, -0.012809, 0.000000, 0.000000, 0.000000, 0.000000], [0.572707, 0.115495, 0.338015, -0.432799, -0.204622, -0.561452, 0.000000, 0.000000, 0.000000, 0.000000], [0.506083, 0.043950, 0.364921, -0.087027, 0.131406, 0.764160, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.808712, 11.142167, 11.217424, 11.416610, 30.554907], [14.270125, 15.165031, 15.884995, 16.305030, 76.374717], [8.708696, 8.714819, 8.935982, 9.266573, 10.769031], [22.725982, 23.799025, 24.032175, 25.272212, 103.425768], [26.816812, 27.518381, 28.872146, 30.030046, 130.643011], [23.662078, 24.381551, 25.625122, 26.512478, 129.031966]]
### 8
mean: [-1.917130]
std: [2.297009]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.258225, 39.854395, 40.157924, 41.156469, 172.541696]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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28.87214606606494, 30.030045729057044, 130.64301143586636]}, "5": {"mean": 1.4336885213851929, "std": 1.4548752307891846, "pca": [0.5060831308364868, 0.043950166553258896, 0.36492079496383667, -0.08702737838029861, 0.13140611350536346, 0.7641595005989075, 0.0, 0.0, 0.0, 0.0], "fourier": [23.66207786909099, 24.381551206638598, 25.625121953296947, 26.51247786965075, 129.03196635469794]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -1.9171299934387207, "std": 2.297008752822876, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [37.258224935861385, 39.854395319491054, 40.15792395388844, 41.15646853429027, 172.541696280241]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.14213, -0.388514, 0.180515, -0.47566, 0.599133], [0.625871, 0.233443, -0.052993, 0.01482, 0.007465], [0.291974, 0.370841, 0.378534, 0.153413, -0.334342], [-0.580062, 0.257615, 0.59336, 0.437382, 0.504573], [0.163627, -0.42145, -0.014426, 0.088033, 0.445682], [0.182492, -0.503024, -0.265292, 0.418672, 0.122632]], "network.0.bias": [-0.032072, -0.205685, 0.276556, 0.554466, -0.260221, 0.153107], "network.2.weight": [[-0.187761, 0.278747, 0.051975, -0.046101, 0.189915, -0.105126], [-0.246848, 0.085171, -0.045936, 0.479537, 0.425858, -0.047045], [0.023287, -0.595836, 0.446304, 0.153924, 0.244883, -0.040492], [0.608406, -0.533782, -0.261752, 0.598976, 0.462175, 0.074057], [-0.22197, 0.122219, -0.199897, -0.062115, 0.327836, 0.337703], [0.288053, -0.343236, -0.113503, 0.583362, 0.121836, 0.592733]], "network.2.bias": [0.214569, -0.12799, -0.27013, 0.472425, -0.262619, -0.204129], "network.4.weight": [[-0.234139, 0.254985, 0.147516, 0.526546, 0.42852, 0.424668], [-0.232212, -0.029287, -0.065348, -0.109656, 0.224814, 0.176545], [0.028638, 0.169164, 0.297457, -0.250658, -0.291107, -0.266162], [-0.097151, -0.186901, 0.091042, 0.017934, 0.404559, 0.2754], [-0.147008, 0.299492, -0.319591, -0.147725, -0.41043, -0.14294], [-0.639964, 0.092585, 0.626917, 0.129329, -0.526929, 0.31317]], "network.4.bias": [0.063556, -0.352341, 0.224801, -0.447284, 0.072443, 0.090335], "network.6.weight": [[-0.159531, -0.382571, 0.135507, -0.596264, 0.191684, -0.21476], [0.434137, -0.096029, -0.004049, 0.209855, -0.574145, 0.028787], [-0.36418, -0.207357, 0.162681, -0.572223, 0.175391, 0.22293], [0.419135, 0.282977, -0.039939, 0.246299, -0.15544, 0.530313], [0.613892, 0.185198, -0.417732, 0.019536, -0.167134, 0.435715], [0.570902, -0.015417, -0.284391, -0.009065, -0.304988, 0.339567]], "network.6.bias": [0.150035, -0.077103, 0.341074, -0.251992, -0.24827, -0.107525], "network.8.weight": [[0.620176, -0.447964, 0.48685, -0.423798, -0.413156, -0.382027]], "network.8.bias": [0.06149]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6810579895973206, "train_acc": 0.755, "val_loss": 0.6638414263725281, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6546155214309692, "train_acc": 0.56, "val_loss": 0.6357834935188293, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6179259717464447, "train_acc": 0.56, "val_loss": 0.5956262350082397, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5828362107276917, "train_acc": 0.52, "val_loss": 0.5306606888771057, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5136228054761887, "train_acc": 0.815, "val_loss": 0.4639677405357361, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4480714499950409, "train_acc": 0.89, "val_loss": 0.4070670008659363, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3872082829475403, "train_acc": 0.91, "val_loss": 0.3607076406478882, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3471432626247406, "train_acc": 0.925, "val_loss": 0.3208024501800537, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.31815287470817566, "train_acc": 0.94, "val_loss": 0.2893954813480377, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.27867692708969116, "train_acc": 0.95, "val_loss": 0.2637646794319153, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.24505426734685898, "train_acc": 0.95, "val_loss": 0.23863327503204346, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.22067226469516754, "train_acc": 0.955, "val_loss": 0.2129429578781128, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.19089645892381668, "train_acc": 0.955, "val_loss": 0.19378189742565155, "val_acc": 0.96}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6638414263725281, "final_val_loss": 0.5956262350082397, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5306606888771057, "final_val_loss": 0.19378189742565155, "initial_val_acc": 0.76, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 8}, "improvement": 0.41999999999999993, "first_improvement_epoch": 2}}
|
111
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.9, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4632, "learning_rate": 0.04874646437157364, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.591416,
-0.140053,
-0.137486,
-0.335141,
0.746252
],
[
0.462189,
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0.159477,
0.045185,
0.891843
],
[
0.310657,
-0.020054,
-0.097736,
0.131116,
0.970803
],
[
-0.456754,
-0.317936,
-0.107031,
-0.645195,
-0.434908
],
[
0.432191,
-0.235187,
0.419514,
0.473716,
-0.799748
],
[
0.229545,
-0.07662,
0.094191,
-0.000337,
1.047642
]
],
"network.0.bias": [
0.193686,
0.075388,
0.306809,
-0.080512,
0.590117,
-0.011113
],
"network.2.weight": [
[
0.463046,
0.48939,
0.912159,
0.008656,
-0.185024,
0.395144
],
[
-0.712113,
0.227497,
-0.315787,
-0.087866,
0.214054,
-0.435738
],
[
-0.57985,
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0.126893,
0.559317,
-0.189363
],
[
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0.171024,
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0.274671,
-0.489453
],
[
0.283981,
0.776161,
0.407236,
-0.050797,
-0.023479,
0.968006
],
[
0.327629,
0.713014,
0.347987,
-0.372878,
-0.024622,
0.337823
]
],
"network.2.bias": [
0.181159,
0.082943,
0.452476,
0.334911,
-0.252624,
-0.078423
],
"network.4.weight": [
[
0.358121,
0.171235,
0.056873,
-0.03169,
-0.116334,
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],
[
-0.307828,
0.060445,
-0.254375,
-0.087767,
-0.30118,
-0.349232
],
[
-0.4584,
0.134178,
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-0.699454,
-0.237409
],
[
-0.111218,
0.453956,
0.718577,
0.457315,
-0.292686,
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],
[
0.645266,
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0.817708,
0.574697
],
[
-0.479618,
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0.044855,
-0.706796,
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]
],
"network.4.bias": [
0.567575,
-0.467822,
-0.066175,
0.709801,
0.092461,
-0.1014
],
"network.6.weight": [
[
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],
[
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0.430475,
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0.637981
],
[
-0.488987,
0.120835,
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0.740606,
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],
[
0.303215,
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0.026039
],
[
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0.826082,
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],
[
-0.034676,
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0.394556,
0.511905,
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]
],
"network.6.bias": [
0.023875,
0.481478,
0.141202,
-0.294903,
-0.118504,
0.331817
],
"network.8.weight": [
[
-0.442356,
0.556731,
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]
],
"network.8.bias": [
0.396368
]
}
## Activation Signature
### 0
mean: [0.588955, 1.597044, 1.931198, -3.371815, 1.605212, 1.623049]
std: [1.984874, 2.133943, 2.003089, 2.305892, 1.746067, 2.116375]
pca: [[0.398674, 0.263408, 0.543742, 0.676978, -0.120011, -0.057606, 0.000000, 0.000000, 0.000000, 0.000000], [0.485707, 0.056078, 0.303218, -0.467445, 0.160772, 0.651652, 0.000000, 0.000000, 0.000000, 0.000000], [0.463888, 0.001694, -0.219019, -0.002690, 0.743318, -0.429309, 0.000000, 0.000000, 0.000000, 0.000000], [-0.367285, 0.718624, 0.363870, -0.343375, 0.188969, -0.250330, 0.000000, 0.000000, 0.000000, 0.000000], [-0.129657, -0.633290, 0.650966, -0.212618, 0.085479, -0.325366, 0.000000, 0.000000, 0.000000, 0.000000], [0.488105, 0.099963, -0.090974, -0.400096, -0.603500, -0.468184, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.195046, 35.365218, 36.164229, 42.916948, 53.005989], [33.368243, 40.898192, 43.723589, 46.759042, 143.733988], [30.664882, 32.775335, 41.343281, 45.987967, 173.807799], [36.621059, 37.751516, 43.721806, 46.338555, 303.463343], [26.205071, 27.712231, 30.143912, 31.951222, 144.469067], [31.307892, 35.233395, 43.003731, 48.614420, 146.074441]]
### 2
mean: [3.611360, -1.247369, 0.066360, -0.641972, 3.726335, 2.684147]
std: [4.286560, 2.163115, 2.006612, 1.899258, 4.752287, 3.262987]
pca: [[0.539559, 0.052439, 0.149550, 0.708843, 0.405408, 0.130176, 0.000000, 0.000000, 0.000000, 0.000000], [-0.269315, 0.320916, 0.669453, -0.211648, 0.519649, -0.247962, 0.000000, 0.000000, 0.000000, 0.000000], [-0.238226, 0.747958, -0.089159, 0.413076, -0.401966, -0.208927, 0.000000, 0.000000, 0.000000, 0.000000], [-0.235327, 0.368315, -0.383025, -0.132074, 0.417530, 0.685917, 0.000000, 0.000000, 0.000000, 0.000000], [0.597031, 0.360771, 0.332812, -0.411292, -0.351391, 0.331659, 0.000000, 0.000000, 0.000000, 0.000000], [0.409596, 0.262698, -0.513855, -0.309047, 0.325923, -0.545380, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[64.543625, 69.353082, 90.101310, 99.010566, 325.022360], [32.184709, 35.403433, 41.962076, 51.018528, 112.263219], [26.954827, 31.332106, 33.977270, 35.953544, 48.287715], [26.976995, 30.287553, 36.435457, 45.823926, 57.777479], [71.646262, 81.517067, 101.193985, 107.636819, 335.370177], [49.949496, 56.722034, 70.213689, 73.086961, 241.573260]]
### 4
mean: [0.110493, -3.880231, -5.402046, 0.013596, 6.391105, -5.055854]
std: [0.745507, 3.737329, 5.785143, 2.561435, 8.945271, 5.522511]
pca: [[-0.057311, -0.023751, 0.964008, 0.258219, -0.011483, -0.005550, 0.000000, 0.000000, 0.000000, 0.000000], [-0.291150, -0.246629, 0.125050, -0.541266, -0.065839, 0.735843, 0.000000, 0.000000, 0.000000, 0.000000], [-0.450391, -0.435811, -0.075662, 0.173113, 0.746843, -0.117256, 0.000000, 0.000000, 0.000000, 0.000000], [-0.192869, 0.675725, -0.102988, 0.425666, 0.247864, 0.502955, 0.000000, 0.000000, 0.000000, 0.000000], [0.697661, -0.413818, -0.061273, 0.361680, 0.156375, 0.427791, 0.000000, 0.000000, 0.000000, 0.000000], [-0.430309, -0.347606, -0.186990, 0.546244, -0.593186, 0.093739, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.532351, 11.536838, 13.798913, 15.768747, 16.916871], [56.545049, 65.803267, 78.467893, 84.540288, 349.220808], [87.138097, 102.059491, 120.576863, 131.139584, 486.184166], [36.764808, 38.213653, 43.859601, 56.758590, 58.119817], [135.566716, 144.234826, 193.676624, 204.893470, 575.199367], [83.354150, 96.595866, 115.718799, 125.403558, 455.026818]]
### 6
mean: [5.183214, -0.557508, 4.305846, -1.749831, 5.260867, -0.532140]
std: [8.269741, 2.167123, 7.041970, 1.980846, 7.302025, 2.272443]
pca: [[0.608331, -0.057513, -0.411727, 0.611211, 0.147933, -0.248280, 0.000000, 0.000000, 0.000000, 0.000000], [-0.158525, 0.422792, -0.560759, -0.315583, 0.617164, 0.034390, 0.000000, 0.000000, 0.000000, 0.000000], [0.517903, -0.285244, -0.244517, -0.416792, -0.141956, 0.629887, 0.000000, 0.000000, 0.000000, 0.000000], [-0.145410, -0.236354, 0.318362, 0.413923, 0.595168, 0.544133, 0.000000, 0.000000, 0.000000, 0.000000], [0.536665, 0.581828, 0.565274, -0.148329, 0.177941, -0.016385, 0.000000, 0.000000, 0.000000, 0.000000], [-0.165609, 0.584969, -0.188024, 0.399723, -0.437247, 0.494032, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[125.262881, 134.157949, 182.231726, 189.986091, 466.489263], [32.556318, 34.424397, 49.184805, 49.456506, 50.175730], [107.089889, 113.195904, 156.285047, 161.351904, 387.526149], [29.866124, 33.292068, 42.421442, 45.711902, 157.484778], [109.808433, 119.484054, 157.025169, 170.157789, 473.478014], [34.490559, 36.064126, 47.892603, 50.876857, 52.361413]]
### 8
mean: [-8.638322]
std: [13.313381]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[201.856603, 214.891965, 290.143266, 309.882856, 777.449034]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.591416,
-0.140053,
-0.137486,
-0.335141,
0.746252
],
[
0.462189,
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0.159477,
0.045185,
0.891843
],
[
0.310657,
-0.020054,
-0.097736,
0.131116,
0.970803
],
[
-0.456754,
-0.317936,
-0.107031,
-0.645195,
-0.434908
],
[
0.432191,
-0.235187,
0.419514,
0.473716,
-0.799748
],
[
0.229545,
-0.07662,
0.094191,
-0.000337,
1.047642
]
],
"network.0.bias": [
0.193686,
0.075388,
0.306809,
-0.080512,
0.590117,
-0.011113
],
"network.2.weight": [
[
0.463046,
0.48939,
0.912159,
0.008656,
-0.185024,
0.395144
],
[
-0.712113,
0.227497,
-0.315787,
-0.087866,
0.214054,
-0.435738
],
[
-0.57985,
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-0.200777,
0.126893,
0.559317,
-0.189363
],
[
-0.398675,
0.171024,
-0.26873,
-0.236021,
0.274671,
-0.489453
],
[
0.283981,
0.776161,
0.407236,
-0.050797,
-0.023479,
0.968006
],
[
0.327629,
0.713014,
0.347987,
-0.372878,
-0.024622,
0.337823
]
],
"network.2.bias": [
0.181159,
0.082943,
0.452476,
0.334911,
-0.252624,
-0.078423
],
"network.4.weight": [
[
0.358121,
0.171235,
0.056873,
-0.03169,
-0.116334,
-0.513746
],
[
-0.307828,
0.060445,
-0.254375,
-0.087767,
-0.30118,
-0.349232
],
[
-0.4584,
0.134178,
-0.385059,
-0.333635,
-0.699454,
-0.237409
],
[
-0.111218,
0.453956,
0.718577,
0.457315,
-0.292686,
-0.015057
],
[
0.645266,
-0.510942,
-0.444123,
-0.498679,
0.817708,
0.574697
],
[
-0.479618,
-0.12577,
-0.373412,
0.044855,
-0.706796,
-0.096771
]
],
"network.4.bias": [
0.567575,
-0.467822,
-0.066175,
0.709801,
0.092461,
-0.1014
],
"network.6.weight": [
[
-0.667674,
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0.884901,
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],
[
-0.231751,
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0.430475,
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0.637981
],
[
-0.488987,
0.120835,
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0.740606,
0.044849
],
[
0.303215,
0.267003,
0.113301,
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0.026039
],
[
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0.087505,
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0.826082,
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],
[
-0.034676,
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0.394556,
0.511905,
-0.210593,
-0.103392
]
],
"network.6.bias": [
0.023875,
0.481478,
0.141202,
-0.294903,
-0.118504,
0.331817
],
"network.8.weight": [
[
-0.442356,
0.556731,
-0.68307,
-0.003227,
-0.685595,
0.431326
]
],
"network.8.bias": [
0.396368
]
}
## Activation Signature
### 0
mean: [0.588955, 1.597044, 1.931198, -3.371815, 1.605212, 1.623049]
std: [1.984874, 2.133943, 2.003089, 2.305892, 1.746067, 2.116375]
pca: [[0.398674, 0.263408, 0.543742, 0.676978, -0.120011, -0.057606, 0.000000, 0.000000, 0.000000, 0.000000], [0.485707, 0.056078, 0.303218, -0.467445, 0.160772, 0.651652, 0.000000, 0.000000, 0.000000, 0.000000], [0.463888, 0.001694, -0.219019, -0.002690, 0.743318, -0.429309, 0.000000, 0.000000, 0.000000, 0.000000], [-0.367285, 0.718624, 0.363870, -0.343375, 0.188969, -0.250330, 0.000000, 0.000000, 0.000000, 0.000000], [-0.129657, -0.633290, 0.650966, -0.212618, 0.085479, -0.325366, 0.000000, 0.000000, 0.000000, 0.000000], [0.488105, 0.099963, -0.090974, -0.400096, -0.603500, -0.468184, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.195046, 35.365218, 36.164229, 42.916948, 53.005989], [33.368243, 40.898192, 43.723589, 46.759042, 143.733988], [30.664882, 32.775335, 41.343281, 45.987967, 173.807799], [36.621059, 37.751516, 43.721806, 46.338555, 303.463343], [26.205071, 27.712231, 30.143912, 31.951222, 144.469067], [31.307892, 35.233395, 43.003731, 48.614420, 146.074441]]
### 2
mean: [3.611360, -1.247369, 0.066360, -0.641972, 3.726335, 2.684147]
std: [4.286560, 2.163115, 2.006612, 1.899258, 4.752287, 3.262987]
pca: [[0.539559, 0.052439, 0.149550, 0.708843, 0.405408, 0.130176, 0.000000, 0.000000, 0.000000, 0.000000], [-0.269315, 0.320916, 0.669453, -0.211648, 0.519649, -0.247962, 0.000000, 0.000000, 0.000000, 0.000000], [-0.238226, 0.747958, -0.089159, 0.413076, -0.401966, -0.208927, 0.000000, 0.000000, 0.000000, 0.000000], [-0.235327, 0.368315, -0.383025, -0.132074, 0.417530, 0.685917, 0.000000, 0.000000, 0.000000, 0.000000], [0.597031, 0.360771, 0.332812, -0.411292, -0.351391, 0.331659, 0.000000, 0.000000, 0.000000, 0.000000], [0.409596, 0.262698, -0.513855, -0.309047, 0.325923, -0.545380, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[64.543625, 69.353082, 90.101310, 99.010566, 325.022360], [32.184709, 35.403433, 41.962076, 51.018528, 112.263219], [26.954827, 31.332106, 33.977270, 35.953544, 48.287715], [26.976995, 30.287553, 36.435457, 45.823926, 57.777479], [71.646262, 81.517067, 101.193985, 107.636819, 335.370177], [49.949496, 56.722034, 70.213689, 73.086961, 241.573260]]
### 4
mean: [0.110493, -3.880231, -5.402046, 0.013596, 6.391105, -5.055854]
std: [0.745507, 3.737329, 5.785143, 2.561435, 8.945271, 5.522511]
pca: [[-0.057311, -0.023751, 0.964008, 0.258219, -0.011483, -0.005550, 0.000000, 0.000000, 0.000000, 0.000000], [-0.291150, -0.246629, 0.125050, -0.541266, -0.065839, 0.735843, 0.000000, 0.000000, 0.000000, 0.000000], [-0.450391, -0.435811, -0.075662, 0.173113, 0.746843, -0.117256, 0.000000, 0.000000, 0.000000, 0.000000], [-0.192869, 0.675725, -0.102988, 0.425666, 0.247864, 0.502955, 0.000000, 0.000000, 0.000000, 0.000000], [0.697661, -0.413818, -0.061273, 0.361680, 0.156375, 0.427791, 0.000000, 0.000000, 0.000000, 0.000000], [-0.430309, -0.347606, -0.186990, 0.546244, -0.593186, 0.093739, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.532351, 11.536838, 13.798913, 15.768747, 16.916871], [56.545049, 65.803267, 78.467893, 84.540288, 349.220808], [87.138097, 102.059491, 120.576863, 131.139584, 486.184166], [36.764808, 38.213653, 43.859601, 56.758590, 58.119817], [135.566716, 144.234826, 193.676624, 204.893470, 575.199367], [83.354150, 96.595866, 115.718799, 125.403558, 455.026818]]
### 6
mean: [5.183214, -0.557508, 4.305846, -1.749831, 5.260867, -0.532140]
std: [8.269741, 2.167123, 7.041970, 1.980846, 7.302025, 2.272443]
pca: [[0.608331, -0.057513, -0.411727, 0.611211, 0.147933, -0.248280, 0.000000, 0.000000, 0.000000, 0.000000], [-0.158525, 0.422792, -0.560759, -0.315583, 0.617164, 0.034390, 0.000000, 0.000000, 0.000000, 0.000000], [0.517903, -0.285244, -0.244517, -0.416792, -0.141956, 0.629887, 0.000000, 0.000000, 0.000000, 0.000000], [-0.145410, -0.236354, 0.318362, 0.413923, 0.595168, 0.544133, 0.000000, 0.000000, 0.000000, 0.000000], [0.536665, 0.581828, 0.565274, -0.148329, 0.177941, -0.016385, 0.000000, 0.000000, 0.000000, 0.000000], [-0.165609, 0.584969, -0.188024, 0.399723, -0.437247, 0.494032, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[125.262881, 134.157949, 182.231726, 189.986091, 466.489263], [32.556318, 34.424397, 49.184805, 49.456506, 50.175730], [107.089889, 113.195904, 156.285047, 161.351904, 387.526149], [29.866124, 33.292068, 42.421442, 45.711902, 157.484778], [109.808433, 119.484054, 157.025169, 170.157789, 473.478014], [34.490559, 36.064126, 47.892603, 50.876857, 52.361413]]
### 8
mean: [-8.638322]
std: [13.313381]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[201.856603, 214.891965, 290.143266, 309.882856, 777.449034]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.5889554619789124, "std": 1.9848743677139282, "pca": [0.398674339056015, 0.26340779662132263, 0.5437419414520264, 0.6769776940345764, -0.12001076340675354, -0.05760557949542999, 0.0, 0.0, 0.0, 0.0], "fourier": [34.19504564011308, 35.36521835230862, 36.16422944232579, 42.9169477407282, 53.00598907470703]}, "1": {"mean": 1.5970443487167358, "std": 2.1339426040649414, "pca": [0.48570704460144043, 0.05607787147164345, 0.3032180964946747, -0.467444509267807, 0.16077183187007904, 0.6516523361206055, 0.0, 0.0, 0.0, 0.0], "fourier": [33.36824277359971, 40.89819159765882, 43.72358900467841, 46.759042201076724, 143.7339875921607]}, "2": {"mean": 1.9311977624893188, "std": 2.0030887126922607, "pca": [0.46388810873031616, 0.001693591708317399, -0.21901890635490417, -0.0026899187359958887, 0.7433183789253235, -0.42930904030799866, 0.0, 0.0, 0.0, 0.0], "fourier": [30.664881742887367, 32.77533546530972, 41.34328102922362, 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"2": {"mean": 4.305845737457275, "std": 7.0419697761535645, "pca": [0.5179026126861572, -0.285243958234787, -0.24451717734336853, -0.41679152846336365, -0.14195579290390015, 0.6298868656158447, 0.0, 0.0, 0.0, 0.0], "fourier": [107.08988931735435, 113.19590435789826, 156.28504703938083, 161.3519037534553, 387.52614945173264]}, "3": {"mean": -1.7498308420181274, "std": 1.9808464050292969, "pca": [-0.14541029930114746, -0.23635385930538177, 0.31836214661598206, 0.4139232635498047, 0.5951682329177856, 0.5441328883171082, 0.0, 0.0, 0.0, 0.0], "fourier": [29.866124465895346, 33.29206848158291, 42.42144238099483, 45.71190159135736, 157.48477762937546]}, "4": {"mean": 5.260866641998291, "std": 7.302025318145752, "pca": [0.5366649031639099, 0.5818278789520264, 0.565273642539978, -0.1483289748430252, 0.17794059216976166, -0.016385024413466454, 0.0, 0.0, 0.0, 0.0], "fourier": [109.80843304624483, 119.4840535553861, 157.02516893111238, 170.15778948177746, 473.47801384329796]}, "5": {"mean": -0.5321400165557861, "std": 2.2724428176879883, "pca": [-0.1656092256307602, 0.5849688649177551, -0.1880243718624115, 0.3997231423854828, -0.4372474253177643, 0.4940323531627655, 0.0, 0.0, 0.0, 0.0], "fourier": [34.49055888226401, 36.0641258757155, 47.89260286092758, 50.87685658634794, 52.36141264471687]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -8.638321876525879, "std": 13.31338119506836, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [201.85660330447763, 214.89196480097854, 290.1432664644669, 309.8828561862834, 777.4490340948105]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.591416, -0.140053, -0.137486, -0.335141, 0.746252], [0.462189, -0.3202, 0.159477, 0.045185, 0.891843], [0.310657, -0.020054, -0.097736, 0.131116, 0.970803], [-0.456754, -0.317936, -0.107031, -0.645195, -0.434908], [0.432191, -0.235187, 0.419514, 0.473716, -0.799748], [0.229545, -0.07662, 0.094191, -0.000337, 1.047642]], "network.0.bias": [0.193686, 0.075388, 0.306809, -0.080512, 0.590117, -0.011113], "network.2.weight": [[0.463046, 0.48939, 0.912159, 0.008656, -0.185024, 0.395144], [-0.712113, 0.227497, -0.315787, -0.087866, 0.214054, -0.435738], [-0.57985, -0.032216, -0.200777, 0.126893, 0.559317, -0.189363], [-0.398675, 0.171024, -0.26873, -0.236021, 0.274671, -0.489453], [0.283981, 0.776161, 0.407236, -0.050797, -0.023479, 0.968006], [0.327629, 0.713014, 0.347987, -0.372878, -0.024622, 0.337823]], "network.2.bias": [0.181159, 0.082943, 0.452476, 0.334911, -0.252624, -0.078423], "network.4.weight": [[0.358121, 0.171235, 0.056873, -0.03169, -0.116334, -0.513746], [-0.307828, 0.060445, -0.254375, -0.087767, -0.30118, -0.349232], [-0.4584, 0.134178, -0.385059, -0.333635, -0.699454, -0.237409], [-0.111218, 0.453956, 0.718577, 0.457315, -0.292686, -0.015057], [0.645266, -0.510942, -0.444123, -0.498679, 0.817708, 0.574697], [-0.479618, -0.12577, -0.373412, 0.044855, -0.706796, -0.096771]], "network.4.bias": [0.567575, -0.467822, -0.066175, 0.709801, 0.092461, -0.1014], "network.6.weight": [[-0.667674, 0.108945, -0.341732, -0.446355, 0.884901, -0.12535], [-0.231751, -0.009041, -0.027218, 0.430475, -0.213117, 0.637981], [-0.488987, 0.120835, -0.111101, -0.540601, 0.740606, 0.044849], [0.303215, 0.267003, 0.113301, -0.071504, -0.224016, 0.026039], [-0.132603, 0.020951, 0.087505, -0.055991, 0.826082, -0.326106], [-0.034676, -0.131516, 0.394556, 0.511905, -0.210593, -0.103392]], "network.6.bias": [0.023875, 0.481478, 0.141202, -0.294903, -0.118504, 0.331817], "network.8.weight": [[-0.442356, 0.556731, -0.68307, -0.003227, -0.685595, 0.431326]], "network.8.bias": [0.396368]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6812727153301239, "train_acc": 0.57, "val_loss": 0.6941310167312622, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.67387455701828, "train_acc": 0.57, "val_loss": 0.657561182975769, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6539974212646484, "train_acc": 0.495, "val_loss": 0.5470116138458252, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5344094038009644, "train_acc": 0.735, "val_loss": 0.42662400007247925, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4240971803665161, "train_acc": 0.865, "val_loss": 0.3643544912338257, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.35624144971370697, "train_acc": 0.86, "val_loss": 0.3380397856235504, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.315663605928421, "train_acc": 0.865, "val_loss": 0.32460537552833557, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3216356635093689, "train_acc": 0.865, "val_loss": 0.28999245166778564, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2936777323484421, "train_acc": 0.885, "val_loss": 0.3351804316043854, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.30556483566761017, "train_acc": 0.87, "val_loss": 0.2755948603153229, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2866802215576172, "train_acc": 0.885, "val_loss": 0.31030601263046265, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.30270420014858246, "train_acc": 0.88, "val_loss": 0.266217440366745, "val_acc": 0.88}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6941310167312622, "final_val_loss": 0.657561182975769, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5470116138458252, "final_val_loss": 0.266217440366745, "initial_val_acc": 0.68, "final_val_acc": 0.88, "best_val_acc": 0.9, "best_epoch": 7}, "improvement": 0.38, "first_improvement_epoch": 1}}
|
112
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.46, "improved_accuracy": 0.92, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6215, "learning_rate": 0.02629771032868996, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.103362,
-0.37537,
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0.427665,
0.38337
],
[
-0.214886,
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-0.634516,
0.239377,
0.281923
],
[
-0.197889,
0.561439,
0.063137,
-0.081538,
-0.674677
],
[
0.178444,
0.22399,
-0.21227,
0.129075,
-0.466255
],
[
0.377201,
0.477263,
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0.489941
]
],
"network.0.bias": [
-0.118813,
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-0.219557,
-0.454841
],
"network.2.weight": [
[
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0.212506,
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],
[
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-0.018707,
0.019915,
0.771538
],
[
0.666118,
0.607454,
-0.200723,
0.108719,
-0.825557
],
[
0.007391,
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],
[
0.384064,
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0.04648,
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]
],
"network.2.bias": [
0.410739,
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0.034446
],
"network.4.weight": [
[
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],
[
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0.589272,
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0.774057
],
[
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0.444244,
0.192686
],
[
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0.627274,
0.331481,
0.244548,
0.333309
],
[
0.429392,
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]
],
"network.4.bias": [
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0.277862,
0.724466
],
"network.6.weight": [
[
0.377335,
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],
[
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0.193417,
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0.766696
],
[
0.569526,
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],
[
0.619724,
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0.21393,
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],
[
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]
],
"network.6.bias": [
0.257174,
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],
"network.8.weight": [
[
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[
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[
0.431958,
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[
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[
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],
"network.8.bias": [
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],
"network.10.weight": [
[
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],
[
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],
[
0.092332,
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],
[
0.443246,
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],
[
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]
],
"network.10.bias": [
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],
"network.12.weight": [
[
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]
],
"network.12.bias": [
0.3224
]
}
## Activation Signature
### 0
mean: [0.462331, -1.014775, -0.224097, -0.330994, 0.414054]
std: [1.251376, 1.540556, 1.623506, 1.116436, 1.601441]
pca: [[-0.504579, -0.128420, 0.061554, 0.682701, 0.508957, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.362471, -0.569763, 0.604119, -0.423023, -0.008747, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.694080, -0.216634, 0.197062, -0.035103, 0.656702, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.356909, -0.190347, 0.440861, 0.591329, -0.540700, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.069881, 0.758759, 0.630920, -0.063785, 0.131424, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.254889, 20.564809, 21.362084, 21.423709, 41.609792], [25.845887, 26.093213, 29.148339, 32.052956, 91.329769], [24.052312, 26.636087, 26.730663, 27.676855, 28.617582], [15.189430, 17.880359, 18.788718, 27.012821, 29.789473], [23.774232, 25.878996, 27.557564, 28.148225, 37.264840]]
### 2
mean: [-0.397405, 1.291740, -0.052140, -0.575485, 0.821945]
std: [1.082419, 1.331180, 1.295652, 0.396053, 0.805119]
pca: [[-0.560132, -0.124047, -0.504817, 0.254951, 0.592474, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.688355, 0.216021, -0.294782, -0.274820, 0.563099, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175883, 0.947247, -0.159650, 0.139354, -0.163951, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.076122, 0.180318, 0.787184, 0.218362, 0.542541, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.419155, -0.090304, -0.114533, 0.890153, -0.103268, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.015093, 19.100329, 19.103984, 20.854580, 35.766459], [23.718647, 23.801021, 24.917412, 25.169785, 116.256584], [18.125142, 19.388004, 19.492504, 23.571355, 28.090055], [6.776154, 7.251715, 8.107633, 8.239504, 51.793688], [13.426723, 14.674824, 14.699104, 15.394966, 73.975032]]
### 4
mean: [0.894523, 1.959195, -0.600703, 1.400592, 0.233644]
std: [1.089874, 1.716711, 0.274031, 1.285839, 0.735413]
pca: [[0.433380, 0.294789, -0.468197, -0.307440, 0.641524, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.687802, 0.097553, 0.269919, 0.666713, 0.007033, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.093591, 0.129768, 0.822738, -0.260576, 0.479169, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.515021, 0.108653, 0.175524, -0.612330, -0.563197, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.255154, 0.935381, -0.015126, 0.134636, -0.203968, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.030105, 19.588359, 20.141693, 21.081717, 80.507093], [28.852367, 29.336726, 31.087519, 34.390941, 176.327524], [4.468387, 4.493422, 4.765103, 5.275516, 54.063268], [21.663004, 22.076905, 23.532922, 25.422082, 126.053313], [11.874878, 13.486668, 13.737594, 14.184652, 21.027955]]
### 6
mean: [3.243684, 0.769663, 1.283731, 2.214426, 0.557510]
std: [3.017857, 0.422064, 1.373047, 2.264134, 0.249848]
pca: [[0.746656, 0.162860, -0.559012, -0.029924, -0.320298, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.099067, 0.875502, -0.042172, -0.345588, 0.320114, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.339374, 0.354178, 0.683880, 0.469894, -0.266255, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.560117, -0.265232, 0.282533, -0.220135, 0.698310, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.061516, 0.105753, -0.371766, 0.781290, 0.486218, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.897069, 51.207014, 54.842604, 59.348173, 291.931588], [6.913783, 7.053661, 7.759224, 7.929644, 69.269639], [23.345691, 24.013507, 24.947432, 26.723716, 115.535742], [38.130988, 38.263871, 41.444258, 43.531970, 199.298323], [4.177186, 4.291126, 4.438627, 4.645368, 50.175870]]
### 8
mean: [-1.474844, -1.052951, 1.907738, 3.963419, -1.689395]
std: [0.553067, 0.980773, 2.705221, 4.548446, 1.393344]
pca: [[-0.098567, 0.622256, 0.105108, -0.393979, 0.660920, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175331, 0.601011, -0.172091, 0.751550, -0.116627, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.484196, 0.466450, 0.368187, -0.266427, -0.584324, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.814192, -0.116440, 0.034500, 0.359193, 0.439685, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249377, -0.143003, 0.906965, 0.282754, 0.121761, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.452796, 9.792850, 9.847413, 10.942571, 132.735977], [16.657191, 17.078568, 17.664069, 19.141433, 94.765623], [45.587391, 45.838747, 49.263509, 51.962925, 171.696451], [76.848779, 76.899867, 82.524658, 87.992825, 356.707717], [23.405398, 23.497016, 25.289072, 27.200668, 152.045535]]
### 10
mean: [2.684321, 4.590118, -0.758493, -1.070135, -1.061957]
std: [3.033256, 5.125912, 0.680017, 1.723656, 1.072050]
pca: [[0.479257, 0.175111, -0.225437, 0.376309, 0.739742, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.809901, -0.109762, 0.482027, -0.109732, -0.296010, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.107403, 0.512426, 0.249791, 0.735613, -0.349803, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.272319, -0.587834, 0.602847, 0.324055, 0.334450, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.169351, 0.590897, 0.539451, -0.447450, 0.361859, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.765165, 51.847351, 54.602416, 58.239300, 241.588847], [87.465308, 87.574358, 92.305255, 98.469723, 413.110642], [11.561140, 11.583533, 12.280546, 13.120600, 68.264361], [29.429355, 29.511777, 30.987017, 33.031315, 96.312125], [18.252122, 18.271302, 19.346396, 20.661171, 95.576103]]
### 12
mean: [-4.390966]
std: [5.363816]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[90.830512, 91.987021, 96.690258, 102.701157, 395.186948]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.103362,
-0.37537,
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0.427665,
0.38337
],
[
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-0.634516,
0.239377,
0.281923
],
[
-0.197889,
0.561439,
0.063137,
-0.081538,
-0.674677
],
[
0.178444,
0.22399,
-0.21227,
0.129075,
-0.466255
],
[
0.377201,
0.477263,
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"network.0.bias": [
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"network.2.weight": [
[
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0.212506,
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],
[
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-0.018707,
0.019915,
0.771538
],
[
0.666118,
0.607454,
-0.200723,
0.108719,
-0.825557
],
[
0.007391,
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],
[
0.384064,
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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-0.323106,
0.774057
],
[
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0.192686
],
[
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0.627274,
0.331481,
0.244548,
0.333309
],
[
0.429392,
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]
],
"network.4.bias": [
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0.359296,
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0.277862,
0.724466
],
"network.6.weight": [
[
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0.862917,
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],
[
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0.036188,
0.193417,
-0.090222,
0.766696
],
[
0.569526,
0.240603,
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],
[
0.619724,
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],
[
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0.246531
]
],
"network.6.bias": [
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0.602455
],
"network.8.weight": [
[
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],
[
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],
[
0.431958,
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[
0.660036,
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[
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]
],
"network.8.bias": [
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],
"network.10.weight": [
[
0.255793,
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0.470553,
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0.145819
],
[
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0.783165,
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],
[
0.092332,
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0.031537,
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0.126315
],
[
0.443246,
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0.121425
],
[
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]
],
"network.10.bias": [
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0.494383,
-0.040018
],
"network.12.weight": [
[
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0.429594
]
],
"network.12.bias": [
0.3224
]
}
## Activation Signature
### 0
mean: [0.462331, -1.014775, -0.224097, -0.330994, 0.414054]
std: [1.251376, 1.540556, 1.623506, 1.116436, 1.601441]
pca: [[-0.504579, -0.128420, 0.061554, 0.682701, 0.508957, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.362471, -0.569763, 0.604119, -0.423023, -0.008747, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.694080, -0.216634, 0.197062, -0.035103, 0.656702, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.356909, -0.190347, 0.440861, 0.591329, -0.540700, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.069881, 0.758759, 0.630920, -0.063785, 0.131424, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.254889, 20.564809, 21.362084, 21.423709, 41.609792], [25.845887, 26.093213, 29.148339, 32.052956, 91.329769], [24.052312, 26.636087, 26.730663, 27.676855, 28.617582], [15.189430, 17.880359, 18.788718, 27.012821, 29.789473], [23.774232, 25.878996, 27.557564, 28.148225, 37.264840]]
### 2
mean: [-0.397405, 1.291740, -0.052140, -0.575485, 0.821945]
std: [1.082419, 1.331180, 1.295652, 0.396053, 0.805119]
pca: [[-0.560132, -0.124047, -0.504817, 0.254951, 0.592474, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.688355, 0.216021, -0.294782, -0.274820, 0.563099, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175883, 0.947247, -0.159650, 0.139354, -0.163951, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.076122, 0.180318, 0.787184, 0.218362, 0.542541, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.419155, -0.090304, -0.114533, 0.890153, -0.103268, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.015093, 19.100329, 19.103984, 20.854580, 35.766459], [23.718647, 23.801021, 24.917412, 25.169785, 116.256584], [18.125142, 19.388004, 19.492504, 23.571355, 28.090055], [6.776154, 7.251715, 8.107633, 8.239504, 51.793688], [13.426723, 14.674824, 14.699104, 15.394966, 73.975032]]
### 4
mean: [0.894523, 1.959195, -0.600703, 1.400592, 0.233644]
std: [1.089874, 1.716711, 0.274031, 1.285839, 0.735413]
pca: [[0.433380, 0.294789, -0.468197, -0.307440, 0.641524, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.687802, 0.097553, 0.269919, 0.666713, 0.007033, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.093591, 0.129768, 0.822738, -0.260576, 0.479169, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.515021, 0.108653, 0.175524, -0.612330, -0.563197, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.255154, 0.935381, -0.015126, 0.134636, -0.203968, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.030105, 19.588359, 20.141693, 21.081717, 80.507093], [28.852367, 29.336726, 31.087519, 34.390941, 176.327524], [4.468387, 4.493422, 4.765103, 5.275516, 54.063268], [21.663004, 22.076905, 23.532922, 25.422082, 126.053313], [11.874878, 13.486668, 13.737594, 14.184652, 21.027955]]
### 6
mean: [3.243684, 0.769663, 1.283731, 2.214426, 0.557510]
std: [3.017857, 0.422064, 1.373047, 2.264134, 0.249848]
pca: [[0.746656, 0.162860, -0.559012, -0.029924, -0.320298, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.099067, 0.875502, -0.042172, -0.345588, 0.320114, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.339374, 0.354178, 0.683880, 0.469894, -0.266255, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.560117, -0.265232, 0.282533, -0.220135, 0.698310, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.061516, 0.105753, -0.371766, 0.781290, 0.486218, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.897069, 51.207014, 54.842604, 59.348173, 291.931588], [6.913783, 7.053661, 7.759224, 7.929644, 69.269639], [23.345691, 24.013507, 24.947432, 26.723716, 115.535742], [38.130988, 38.263871, 41.444258, 43.531970, 199.298323], [4.177186, 4.291126, 4.438627, 4.645368, 50.175870]]
### 8
mean: [-1.474844, -1.052951, 1.907738, 3.963419, -1.689395]
std: [0.553067, 0.980773, 2.705221, 4.548446, 1.393344]
pca: [[-0.098567, 0.622256, 0.105108, -0.393979, 0.660920, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175331, 0.601011, -0.172091, 0.751550, -0.116627, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.484196, 0.466450, 0.368187, -0.266427, -0.584324, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.814192, -0.116440, 0.034500, 0.359193, 0.439685, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249377, -0.143003, 0.906965, 0.282754, 0.121761, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.452796, 9.792850, 9.847413, 10.942571, 132.735977], [16.657191, 17.078568, 17.664069, 19.141433, 94.765623], [45.587391, 45.838747, 49.263509, 51.962925, 171.696451], [76.848779, 76.899867, 82.524658, 87.992825, 356.707717], [23.405398, 23.497016, 25.289072, 27.200668, 152.045535]]
### 10
mean: [2.684321, 4.590118, -0.758493, -1.070135, -1.061957]
std: [3.033256, 5.125912, 0.680017, 1.723656, 1.072050]
pca: [[0.479257, 0.175111, -0.225437, 0.376309, 0.739742, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.809901, -0.109762, 0.482027, -0.109732, -0.296010, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.107403, 0.512426, 0.249791, 0.735613, -0.349803, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.272319, -0.587834, 0.602847, 0.324055, 0.334450, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.169351, 0.590897, 0.539451, -0.447450, 0.361859, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.765165, 51.847351, 54.602416, 58.239300, 241.588847], [87.465308, 87.574358, 92.305255, 98.469723, 413.110642], [11.561140, 11.583533, 12.280546, 13.120600, 68.264361], [29.429355, 29.511777, 30.987017, 33.031315, 96.312125], [18.252122, 18.271302, 19.346396, 20.661171, 95.576103]]
### 12
mean: [-4.390966]
std: [5.363816]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[90.830512, 91.987021, 96.690258, 102.701157, 395.186948]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6789404153823853, "train_acc": 0.595, "val_loss": 0.7216507792472839, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6785475611686707, "train_acc": 0.595, "val_loss": 0.7320584058761597, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6717345118522644, "train_acc": 0.595, "val_loss": 0.724271297454834, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6638848185539246, "train_acc": 0.595, "val_loss": 0.7023606896400452, "val_acc": 0.46}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6514805257320404, "train_acc": 0.595, "val_loss": 0.6689649224281311, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6283502578735352, "train_acc": 0.51, "val_loss": 0.5976548790931702, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5491211116313934, "train_acc": 0.51, "val_loss": 0.5445795655250549, "val_acc": 0.46}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.47955842316150665, "train_acc": 0.51, "val_loss": 0.5284569263458252, "val_acc": 0.46}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.4297371655702591, "train_acc": 0.64, "val_loss": 0.5420204997062683, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.4357680082321167, "train_acc": 0.905, "val_loss": 0.5280565023422241, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.3845129758119583, "train_acc": 0.945, "val_loss": 0.4827980101108551, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.3825325518846512, "train_acc": 0.93, "val_loss": 0.48143699765205383, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.36131711304187775, "train_acc": 0.93, "val_loss": 0.44246459007263184, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.33309993147850037, "train_acc": 0.93, "val_loss": 0.40826666355133057, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.314837783575058, "train_acc": 0.93, "val_loss": 0.37484875321388245, "val_acc": 0.92}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7216507792472839, "final_val_loss": 0.6689649224281311, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5976548790931702, "final_val_loss": 0.37484875321388245, "initial_val_acc": 0.46, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 14}, "improvement": 0.46, "first_improvement_epoch": 4}}
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113
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{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.52, "improved_accuracy": 0.84, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9370, "learning_rate": 0.07753878097600657, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
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## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.10.weight": [
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [-1.808070, -1.087417, 3.027128, 3.118192, 2.278478]
std: [1.182203, 3.101096, 2.966684, 3.282806, 3.270802]
pca: [[-0.049442, -0.393667, 0.835339, -0.181510, 0.334431, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.492388, 0.486135, -0.118561, -0.214861, 0.678974, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.481127, 0.089932, 0.019552, 0.706077, 0.511372, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.500832, 0.699849, 0.360961, -0.314188, -0.174275, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.522296, -0.332900, -0.396834, -0.568885, 0.367800, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.003688, 18.523866, 20.772136, 21.233342, 162.726284], [50.714918, 51.597316, 53.191194, 56.159844, 97.867540], [45.238678, 46.447004, 48.708403, 50.314174, 272.441569], [49.811716, 49.891773, 55.355766, 57.677850, 280.637356], [52.934494, 53.660137, 58.922663, 65.560184, 205.063008]]
### 2
mean: [-3.310800, 5.230519, -3.348394, -0.097932, -2.687244]
std: [3.151952, 5.874633, 3.825661, 1.177817, 2.939823]
pca: [[-0.380209, -0.362382, 0.137078, 0.832933, 0.107479, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.710620, -0.319479, 0.335140, 0.062345, 0.526067, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.462334, -0.240412, -0.302160, -0.357971, 0.713446, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.119468, 0.813918, 0.320619, 0.191490, 0.428719, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.349908, -0.215295, 0.821458, -0.370841, -0.137462, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.062798, 54.302463, 55.456210, 56.553345, 297.972040], [95.598549, 96.548231, 97.037082, 98.702998, 470.746707], [61.412881, 63.709510, 65.027297, 65.123662, 301.355477], [17.520138, 17.826553, 19.462501, 20.801410, 23.662881], [49.168650, 50.759273, 52.774851, 54.811276, 241.851960]]
### 4
mean: [-3.527092, -6.622764, 3.838157, -4.690454, 2.165899]
std: [2.581169, 6.475969, 3.805243, 4.227229, 2.521255]
pca: [[0.276256, 0.237076, 0.692952, -0.287763, 0.551804, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.693589, 0.160015, -0.462274, -0.518137, -0.105673, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.406976, 0.561568, 0.204571, -0.446354, -0.527191, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.452379, 0.478590, 0.184307, 0.654634, -0.322164, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.268962, 0.611378, -0.479898, 0.144735, 0.550114, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.928285, 43.833447, 44.336654, 44.547218, 317.438330], [105.702063, 110.254493, 110.427374, 111.025643, 596.048635], [61.866072, 63.123838, 63.496827, 63.748504, 345.434085], [68.707632, 72.490082, 72.763887, 73.213884, 422.140860], [40.848615, 40.894792, 41.128772, 41.954138, 194.930848]]
### 6
mean: [3.151008, 4.602549, 2.901705, 0.758431, -4.089016]
std: [3.426757, 4.825257, 3.159665, 1.495929, 4.778351]
pca: [[0.409355, 0.170924, 0.715095, 0.399945, -0.363176, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.576424, -0.090898, -0.185551, 0.399915, 0.681991, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.377401, 0.699238, -0.508967, -0.069078, -0.323754, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.178617, -0.619749, -0.418341, 0.335780, -0.544288, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.570814, 0.299166, -0.141965, 0.750061, 0.043875, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.585074, 57.012072, 57.716530, 57.792112, 283.590752], [77.773847, 80.031337, 81.328733, 81.687865, 414.229386], [51.720887, 52.644057, 53.103513, 53.558457, 261.153481], [23.398360, 24.540188, 25.061852, 25.673428, 68.258785], [76.877573, 79.192394, 80.372991, 80.933728, 368.011475]]
### 8
mean: [0.650775, -8.951903, 5.206007, -5.911433, 3.923128]
std: [0.269078, 11.023787, 5.674115, 7.041711, 4.193659]
pca: [[-0.018045, -0.176694, 0.717690, 0.352516, 0.573679, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.741604, 0.631441, 0.076549, -0.104120, 0.186026, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.381712, 0.407083, -0.517721, 0.347550, 0.547497, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.473718, -0.351772, -0.305212, 0.730080, -0.160238, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.282108, 0.529719, 0.343325, 0.459438, -0.557546, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.425612, 4.566670, 4.619927, 4.627835, 58.569712], [179.128048, 183.539406, 186.563153, 187.175185, 805.671314], [91.627680, 94.309917, 95.750366, 96.117704, 468.540659], [113.756925, 117.046527, 118.923102, 119.528237, 532.028976], [67.439329, 69.685758, 70.513067, 71.250570, 353.081485]]
### 10
mean: [-0.995592, -6.202143, -2.825871, 3.819368, -2.826682]
std: [0.236052, 7.832598, 3.780831, 4.290812, 3.612368]
pca: [[0.004947, 0.594052, -0.050326, 0.800012, -0.067275, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.756918, 0.522219, -0.019229, -0.391774, 0.022489, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.365307, -0.308133, 0.718485, 0.234081, -0.447873, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.414478, 0.428413, 0.685533, -0.243886, 0.339463, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.349012, -0.309688, 0.104507, 0.303677, 0.824101, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.509294, 3.596732, 3.794657, 4.463817, 89.603249], [124.183121, 129.432649, 129.752271, 131.941764, 558.192835], [59.406536, 61.533084, 62.097667, 62.378365, 254.328342], [67.572308, 69.531563, 70.357248, 70.748901, 343.743113], [56.776909, 58.696185, 59.313633, 59.624355, 254.401383]]
### 12
mean: [-1.222166]
std: [2.460635]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.700114, 37.867344, 38.557649, 40.580045, 109.994955]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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],
[
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"network.0.bias": [
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"network.2.weight": [
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[
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"network.2.bias": [
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[
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"network.4.bias": [
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"network.6.weight": [
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[
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[
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[
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[
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"network.6.bias": [
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"network.8.weight": [
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[
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"network.8.bias": [
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"network.10.weight": [
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[
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],
"network.10.bias": [
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"network.12.weight": [
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [-1.808070, -1.087417, 3.027128, 3.118192, 2.278478]
std: [1.182203, 3.101096, 2.966684, 3.282806, 3.270802]
pca: [[-0.049442, -0.393667, 0.835339, -0.181510, 0.334431, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.492388, 0.486135, -0.118561, -0.214861, 0.678974, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.481127, 0.089932, 0.019552, 0.706077, 0.511372, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.500832, 0.699849, 0.360961, -0.314188, -0.174275, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.522296, -0.332900, -0.396834, -0.568885, 0.367800, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.003688, 18.523866, 20.772136, 21.233342, 162.726284], [50.714918, 51.597316, 53.191194, 56.159844, 97.867540], [45.238678, 46.447004, 48.708403, 50.314174, 272.441569], [49.811716, 49.891773, 55.355766, 57.677850, 280.637356], [52.934494, 53.660137, 58.922663, 65.560184, 205.063008]]
### 2
mean: [-3.310800, 5.230519, -3.348394, -0.097932, -2.687244]
std: [3.151952, 5.874633, 3.825661, 1.177817, 2.939823]
pca: [[-0.380209, -0.362382, 0.137078, 0.832933, 0.107479, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.710620, -0.319479, 0.335140, 0.062345, 0.526067, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.462334, -0.240412, -0.302160, -0.357971, 0.713446, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.119468, 0.813918, 0.320619, 0.191490, 0.428719, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.349908, -0.215295, 0.821458, -0.370841, -0.137462, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.062798, 54.302463, 55.456210, 56.553345, 297.972040], [95.598549, 96.548231, 97.037082, 98.702998, 470.746707], [61.412881, 63.709510, 65.027297, 65.123662, 301.355477], [17.520138, 17.826553, 19.462501, 20.801410, 23.662881], [49.168650, 50.759273, 52.774851, 54.811276, 241.851960]]
### 4
mean: [-3.527092, -6.622764, 3.838157, -4.690454, 2.165899]
std: [2.581169, 6.475969, 3.805243, 4.227229, 2.521255]
pca: [[0.276256, 0.237076, 0.692952, -0.287763, 0.551804, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.693589, 0.160015, -0.462274, -0.518137, -0.105673, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.406976, 0.561568, 0.204571, -0.446354, -0.527191, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.452379, 0.478590, 0.184307, 0.654634, -0.322164, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.268962, 0.611378, -0.479898, 0.144735, 0.550114, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.928285, 43.833447, 44.336654, 44.547218, 317.438330], [105.702063, 110.254493, 110.427374, 111.025643, 596.048635], [61.866072, 63.123838, 63.496827, 63.748504, 345.434085], [68.707632, 72.490082, 72.763887, 73.213884, 422.140860], [40.848615, 40.894792, 41.128772, 41.954138, 194.930848]]
### 6
mean: [3.151008, 4.602549, 2.901705, 0.758431, -4.089016]
std: [3.426757, 4.825257, 3.159665, 1.495929, 4.778351]
pca: [[0.409355, 0.170924, 0.715095, 0.399945, -0.363176, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.576424, -0.090898, -0.185551, 0.399915, 0.681991, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.377401, 0.699238, -0.508967, -0.069078, -0.323754, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.178617, -0.619749, -0.418341, 0.335780, -0.544288, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.570814, 0.299166, -0.141965, 0.750061, 0.043875, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.585074, 57.012072, 57.716530, 57.792112, 283.590752], [77.773847, 80.031337, 81.328733, 81.687865, 414.229386], [51.720887, 52.644057, 53.103513, 53.558457, 261.153481], [23.398360, 24.540188, 25.061852, 25.673428, 68.258785], [76.877573, 79.192394, 80.372991, 80.933728, 368.011475]]
### 8
mean: [0.650775, -8.951903, 5.206007, -5.911433, 3.923128]
std: [0.269078, 11.023787, 5.674115, 7.041711, 4.193659]
pca: [[-0.018045, -0.176694, 0.717690, 0.352516, 0.573679, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.741604, 0.631441, 0.076549, -0.104120, 0.186026, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.381712, 0.407083, -0.517721, 0.347550, 0.547497, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.473718, -0.351772, -0.305212, 0.730080, -0.160238, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.282108, 0.529719, 0.343325, 0.459438, -0.557546, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.425612, 4.566670, 4.619927, 4.627835, 58.569712], [179.128048, 183.539406, 186.563153, 187.175185, 805.671314], [91.627680, 94.309917, 95.750366, 96.117704, 468.540659], [113.756925, 117.046527, 118.923102, 119.528237, 532.028976], [67.439329, 69.685758, 70.513067, 71.250570, 353.081485]]
### 10
mean: [-0.995592, -6.202143, -2.825871, 3.819368, -2.826682]
std: [0.236052, 7.832598, 3.780831, 4.290812, 3.612368]
pca: [[0.004947, 0.594052, -0.050326, 0.800012, -0.067275, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.756918, 0.522219, -0.019229, -0.391774, 0.022489, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.365307, -0.308133, 0.718485, 0.234081, -0.447873, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.414478, 0.428413, 0.685533, -0.243886, 0.339463, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.349012, -0.309688, 0.104507, 0.303677, 0.824101, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.509294, 3.596732, 3.794657, 4.463817, 89.603249], [124.183121, 129.432649, 129.752271, 131.941764, 558.192835], [59.406536, 61.533084, 62.097667, 62.378365, 254.328342], [67.572308, 69.531563, 70.357248, 70.748901, 343.743113], [56.776909, 58.696185, 59.313633, 59.624355, 254.401383]]
### 12
mean: [-1.222166]
std: [2.460635]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.700114, 37.867344, 38.557649, 40.580045, 109.994955]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
mountain_pattern
|
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"fourier": [124.18312054563064, 129.43264889247442, 129.7522714018146, 131.9417641811766, 558.1928351670504]}, "2": {"mean": -2.8258705139160156, "std": 3.7808313369750977, "pca": [0.3653068244457245, -0.3081325590610504, 0.7184851765632629, 0.23408089578151703, -0.44787323474884033, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [59.40653618255464, 61.533084317647386, 62.097667496193644, 62.37836500984319, 254.3283423781395]}, "3": {"mean": 3.8193681240081787, "std": 4.2908124923706055, "pca": [-0.4144778251647949, 0.42841315269470215, 0.6855325698852539, -0.2438862919807434, 0.33946266770362854, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [67.57230761595083, 69.53156273903214, 70.35724766015606, 70.74890060190035, 343.74311313033104]}, "4": {"mean": -2.8266820907592773, "std": 3.612368106842041, "pca": [0.34901171922683716, -0.30968791246414185, 0.10450699180364609, 0.3036767244338989, 0.8241013288497925, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [56.77690913751971, 58.69618483019198, 59.31363329278762, 59.62435468961605, 254.4013825058937]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "12": {"neuron_profiles": {"0": {"mean": -1.2221662998199463, "std": 2.46063494682312, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [37.70011447080866, 37.86734411407053, 38.557648887761935, 40.580045243301534, 109.99495539069176]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.025163, 0.005168, -0.491441, -0.165609, -0.23118], [-1.329861, -0.547691, 0.490347, 0.283535, -0.300327], [0.956393, 0.924355, -0.149293, -0.232171, 0.328742], [0.739296, 1.171851, 0.333348, -0.621607, 0.030392], [1.288975, 0.46072, -0.191785, -0.487718, 0.555913]], "network.0.bias": [-0.181974, 0.303634, 0.556857, 0.661997, 0.59576], "network.2.weight": [[-1.376935, -0.248428, -0.460208, -0.291823, -0.33335], [-1.204432, -0.505566, 0.703343, 0.554939, 0.654769], [-0.728729, 0.085683, -0.582534, -0.428199, -0.263058], [1.233257, 0.524154, 0.281347, -0.043925, -0.497894], [0.039264, -0.39919, -0.011896, -0.337377, -0.6668]], "network.2.bias": [-0.171954, -0.054522, 0.302907, 0.222282, 0.229933], "network.4.weight": [[0.756922, -0.460438, 0.534627, -0.282978, -0.170804], [0.506336, -1.125166, 0.35278, -0.274096, -0.428676], [-0.186392, 0.639843, -0.385899, -0.31929, -0.015542], [0.23241, -0.746175, 0.446265, -0.481233, -0.295114], [-0.713599, 0.422148, -0.571501, -0.357159, -0.125241]], "network.4.bias": [-0.967832, -0.598551, 0.545974, -0.608724, -0.011921], "network.6.weight": [[0.254729, -0.01686, 0.661331, -0.361804, 0.358348], [0.302953, 0.098617, 0.756373, 0.300233, 0.757861], [-0.519903, -0.152567, 0.478726, -0.113193, 0.541453], [0.690344, 0.173268, 0.159487, 0.536362, 0.330692], [-0.068381, -0.82638, -0.744759, -0.05973, -0.752558]], "network.6.bias": [-0.140077, 0.129223, -0.121412, -0.49383, 0.317647], "network.8.weight": [[0.360803, -0.17355, -0.041023, -0.000159, 0.060567], [-0.715274, -1.023088, -0.772608, -0.815734, 0.720442], [0.404233, 0.487493, 0.563211, 0.077125, -0.485272], [-0.486164, -0.933718, -0.133002, -0.294325, 0.377185], [0.521604, 0.289529, 0.357921, -0.116126, -0.266782]], "network.8.bias": [0.434278, 0.842886, 0.057231, 0.493055, 0.059713], "network.10.weight": [[-0.048445, -0.431112, 0.249536, -0.246949, -0.37208], [0.836746, 0.675611, -0.9301, 0.660343, -0.614549], [-0.306043, 0.692207, -0.450528, 0.722852, -0.222854], [0.149251, -1.09049, 0.510475, -0.340894, 0.260913], [-0.31583, 0.794043, -0.410805, 0.457063, -0.236045]], "network.10.bias": [-0.718801, 0.420776, 0.347189, 0.313616, 0.1963], "network.12.weight": [[0.011546, 0.608796, 0.392404, -0.50061, 0.183991]], "network.12.bias": [0.46133]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6825801730155945, "train_acc": 0.58, "val_loss": 0.7125394940376282, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.681875467300415, "train_acc": 0.58, "val_loss": 0.7024994492530823, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6791738867759705, "train_acc": 0.58, "val_loss": 0.6901847124099731, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6637791097164154, "train_acc": 0.58, "val_loss": 0.6575416326522827, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6559144258499146, "train_acc": 0.495, "val_loss": 0.5387154221534729, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5475596487522125, "train_acc": 0.76, "val_loss": 0.5734491944313049, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.6077191531658173, "train_acc": 0.805, "val_loss": 0.4619191884994507, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5010654181241989, "train_acc": 0.75, "val_loss": 0.429159939289093, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.45614390075206757, "train_acc": 0.79, "val_loss": 0.4199126362800598, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.4535955637693405, "train_acc": 0.825, "val_loss": 0.43175068497657776, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.40038593113422394, "train_acc": 0.835, "val_loss": 0.44184204936027527, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.364179864525795, "train_acc": 0.845, "val_loss": 0.39115723967552185, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.34556393325328827, "train_acc": 0.85, "val_loss": 0.32984021306037903, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.3646606355905533, "train_acc": 0.83, "val_loss": 0.3361116051673889, "val_acc": 0.84}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.7125394940376282, "final_val_loss": 0.6575416326522827, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5387154221534729, "final_val_loss": 0.3361116051673889, "initial_val_acc": 0.8, "final_val_acc": 0.84, "best_val_acc": 0.84, "best_epoch": 10}, "improvement": 0.31999999999999995, "first_improvement_epoch": 3}}
|
114
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.48, "improved_accuracy": 0.9, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5841, "learning_rate": 0.08035630298006999, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
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[
1.049171,
0.096198,
-0.044005,
-0.090811,
-0.237395
],
[
-0.550348,
0.067656,
-0.095916,
0.525223,
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],
[
-0.880462,
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0.606248,
0.367234,
0.43802
],
[
-0.373008,
-0.008905,
1.103325,
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-0.096368
]
],
"network.0.bias": [
0.358106,
0.432925,
0.199722,
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-0.280126,
0.068342
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"network.2.weight": [
[
-0.181598,
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-0.539121,
-0.419811,
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],
[
-0.186419,
0.344054,
0.451334,
0.683442,
-0.41492,
-0.496399
],
[
0.627947,
0.234293,
-0.0955,
1.109671,
0.078295,
-0.604797
],
[
0.019999,
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-0.911446,
0.27398,
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0.77961
],
[
0.203005,
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0.418833,
1.03988,
0.600365
],
[
0.100736,
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-0.201953,
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]
],
"network.2.bias": [
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0.06244,
0.611309,
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],
"network.4.weight": [
[
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[
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0.19834
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[
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0.0026
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[
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[
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[
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],
"network.4.bias": [
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"network.6.weight": [
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[
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[
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[
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[
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],
"network.6.bias": [
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"network.8.weight": [
[
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[
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[
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[
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[
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[
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]
],
"network.8.bias": [
-0.032478,
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],
"network.10.weight": [
[
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[
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],
[
-0.225384,
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],
[
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0.51597,
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[
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],
[
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]
],
"network.10.bias": [
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],
"network.12.weight": [
[
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],
"network.12.bias": [
0.476601
]
}
## Activation Signature
### 0
mean: [-0.553080, 0.623900, 1.101203, 1.443352, 0.432551, 1.926607]
std: [1.194539, 2.049051, 2.156314, 1.969475, 2.339854, 2.019234]
pca: [[0.157787, 0.109955, -0.604460, 0.562287, 0.303353, -0.435260, 0.000000, 0.000000, 0.000000, 0.000000], [-0.487587, 0.199403, -0.002866, 0.607603, -0.113420, 0.583475, 0.000000, 0.000000, 0.000000, 0.000000], [-0.490685, 0.197978, 0.444359, -0.023429, 0.644910, -0.325761, 0.000000, 0.000000, 0.000000, 0.000000], [0.391741, -0.279787, 0.637992, 0.559064, -0.126597, -0.180679, 0.000000, 0.000000, 0.000000, 0.000000], [0.560240, 0.243442, 0.061237, -0.036458, 0.578616, 0.535716, 0.000000, 0.000000, 0.000000, 0.000000], [0.171058, 0.878298, 0.162423, -0.014860, -0.358302, -0.210591, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.706766, 18.694496, 22.028104, 22.363848, 49.777179], [30.547913, 31.586480, 33.162091, 38.815955, 56.151000], [37.294599, 38.124803, 41.660773, 41.822622, 99.108227], [29.400942, 29.985535, 34.080574, 34.139635, 129.901684], [38.929599, 38.983983, 39.320215, 40.368623, 40.668359], [30.659522, 31.156729, 32.289327, 34.821902, 173.394646]]
### 2
mean: [-0.392227, 0.587804, 1.467344, 0.573284, 1.860999, -1.192889]
std: [3.332612, 2.100729, 2.169945, 3.765816, 4.175975, 2.831894]
pca: [[-0.451289, -0.219676, 0.414402, 0.252539, 0.679191, 0.226441, 0.000000, 0.000000, 0.000000, 0.000000], [-0.215588, 0.529445, 0.160855, 0.640570, -0.400570, 0.276673, 0.000000, 0.000000, 0.000000, 0.000000], [0.072089, 0.809265, -0.099179, -0.286196, 0.495052, -0.055427, 0.000000, 0.000000, 0.000000, 0.000000], [0.516080, -0.119905, -0.447839, 0.293412, 0.268014, 0.600668, 0.000000, 0.000000, 0.000000, 0.000000], [0.571476, 0.043412, 0.767455, -0.177259, -0.079195, 0.211780, 0.000000, 0.000000, 0.000000, 0.000000], [-0.389538, 0.016076, -0.054891, -0.571380, -0.234655, 0.680773, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.174197, 54.584873, 58.530448, 62.008158, 63.358221], [32.032609, 33.378193, 33.432981, 36.686133, 52.902358], [31.434811, 34.554933, 39.125196, 46.199128, 132.060965], [59.450727, 59.784519, 62.066690, 62.720352, 74.403767], [70.831371, 73.084343, 74.310979, 75.238345, 167.489942], [45.835292, 45.864052, 48.866280, 54.656604, 107.360000]]
### 4
mean: [5.096156, 0.589043, 3.082490, 2.859652, 1.387859, 5.522600]
std: [5.594031, 3.829040, 2.857151, 3.535897, 3.677565, 5.876016]
pca: [[0.577388, 0.282383, 0.093948, -0.182877, 0.735836, -0.056201, 0.000000, 0.000000, 0.000000, 0.000000], [-0.306544, 0.494137, -0.492255, 0.452812, 0.194178, -0.420477, 0.000000, 0.000000, 0.000000, 0.000000], [0.268128, 0.287473, 0.038957, 0.599490, -0.124384, 0.684901, 0.000000, 0.000000, 0.000000, 0.000000], [-0.152424, 0.703664, -0.050801, -0.591055, -0.272895, 0.234999, 0.000000, 0.000000, 0.000000, 0.000000], [-0.308015, 0.267627, 0.860362, 0.209641, 0.065020, -0.212375, 0.000000, 0.000000, 0.000000, 0.000000], [0.618591, 0.163337, 0.067368, 0.093987, -0.571550, -0.500623, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[88.091644, 88.535530, 89.925154, 117.711157, 458.654003], [54.579927, 56.708616, 61.411772, 62.981798, 68.555590], [44.967134, 46.765968, 47.332720, 57.103533, 277.424083], [56.939360, 57.561401, 62.164800, 62.412074, 257.368688], [61.896155, 63.598296, 67.827920, 68.217701, 124.907355], [91.814166, 93.315296, 97.051011, 121.810677, 497.034020]]
### 6
mean: [-7.536722, 5.240771, -8.083622, 6.622150, 4.167701, 12.811954]
std: [9.948840, 3.587688, 7.652394, 7.575011, 6.579823, 13.914154]
pca: [[-0.466774, 0.247882, 0.752653, -0.216830, 0.178108, 0.274686, 0.000000, 0.000000, 0.000000, 0.000000], [-0.013367, 0.894316, -0.156759, 0.405505, 0.031017, -0.100253, 0.000000, 0.000000, 0.000000, 0.000000], [-0.355747, -0.331447, -0.076073, 0.761001, 0.225471, 0.357547, 0.000000, 0.000000, 0.000000, 0.000000], [0.357462, 0.100359, 0.066564, 0.040552, -0.564900, 0.732776, 0.000000, 0.000000, 0.000000, 0.000000], [0.308699, -0.135137, 0.608684, 0.454812, -0.316872, -0.456820, 0.000000, 0.000000, 0.000000, 0.000000], [0.657505, 0.023710, 0.168008, 0.030475, 0.704953, 0.202512, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[158.276673, 160.496467, 168.426376, 202.747837, 678.304939], [61.726691, 66.332438, 66.810315, 70.034782, 471.669348], [116.747471, 118.603735, 124.368247, 160.227098, 727.525972], [117.909110, 119.773454, 125.172986, 157.513113, 595.993547], [102.634823, 109.224661, 109.537710, 134.873100, 375.093102], [217.351518, 221.027268, 230.255994, 289.442068, 1153.075912]]
### 8
mean: [0.553563, 5.560176, -10.334054, 12.066910, 19.124405, -16.885115]
std: [6.750760, 6.494084, 14.003907, 11.327624, 18.257328, 16.410755]
pca: [[0.180839, 0.826794, 0.096596, -0.302312, -0.423464, 0.060536, 0.000000, 0.000000, 0.000000, 0.000000], [0.202808, 0.222668, 0.468114, -0.125667, 0.645234, -0.507974, 0.000000, 0.000000, 0.000000, 0.000000], [-0.441423, -0.320058, 0.530840, -0.444140, -0.409150, -0.237178, 0.000000, 0.000000, 0.000000, 0.000000], [0.357889, -0.205600, 0.328960, -0.394519, 0.211296, 0.721899, 0.000000, 0.000000, 0.000000, 0.000000], [0.578190, -0.191751, 0.416420, 0.514373, -0.417932, -0.127579, 0.000000, 0.000000, 0.000000, 0.000000], [-0.518580, 0.292155, 0.456210, 0.524719, 0.132794, 0.380301, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[97.585097, 105.208619, 116.124261, 122.493516, 123.359124], [101.633278, 105.339801, 106.088372, 133.926293, 500.415885], [218.105534, 227.458330, 230.989655, 291.045533, 930.064771], [177.987836, 178.181602, 184.399340, 232.406557, 1086.021847], [283.670365, 287.683973, 300.372675, 377.379534, 1721.196442], [251.289672, 261.837911, 267.452705, 336.641186, 1519.660498]]
### 10
mean: [24.627340, 20.031498, -23.662811, -11.607316, -9.325006, 9.857085]
std: [24.228218, 19.814508, 24.575548, 10.469249, 10.701927, 10.306314]
pca: [[-0.554111, -0.085200, 0.401797, 0.670521, 0.013805, -0.272897, 0.000000, 0.000000, 0.000000, 0.000000], [-0.453098, 0.264672, -0.135138, -0.132453, 0.752090, 0.351006, 0.000000, 0.000000, 0.000000, 0.000000], [0.562057, 0.095499, -0.265198, 0.696799, 0.302662, 0.165857, 0.000000, 0.000000, 0.000000, 0.000000], [0.238436, -0.647881, 0.563198, -0.098380, 0.305662, 0.321091, 0.000000, 0.000000, 0.000000, 0.000000], [0.243599, 0.702652, 0.653948, -0.051566, -0.047967, 0.119714, 0.000000, 0.000000, 0.000000, 0.000000], [-0.235717, -0.009966, -0.071604, 0.187061, -0.496826, 0.810791, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[377.201729, 384.254230, 399.809671, 501.697511, 2216.460613], [307.488376, 312.197992, 325.378397, 409.316313, 1802.834842], [383.989085, 390.335434, 404.029507, 508.245991, 2129.653113], [160.975011, 169.530843, 170.228162, 215.028086, 1044.658410], [168.051297, 173.676134, 177.798176, 222.082225, 839.250524], [159.922879, 163.251600, 169.991205, 213.594090, 887.137667]]
### 12
mean: [-27.181263]
std: [27.897091]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[433.958094, 442.396649, 459.497304, 578.098060, 2446.313610]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.461777,
-0.0706,
0.17071,
-0.368851,
0.183652
],
[
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-0.08533,
-0.474671,
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],
[
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0.096198,
-0.044005,
-0.090811,
-0.237395
],
[
-0.550348,
0.067656,
-0.095916,
0.525223,
0.623731
],
[
-0.880462,
-0.431209,
0.606248,
0.367234,
0.43802
],
[
-0.373008,
-0.008905,
1.103325,
0.071258,
-0.096368
]
],
"network.0.bias": [
0.358106,
0.432925,
0.199722,
0.309723,
-0.280126,
0.068342
],
"network.2.weight": [
[
-0.181598,
0.322046,
0.859989,
-0.539121,
-0.419811,
-0.292023
],
[
-0.186419,
0.344054,
0.451334,
0.683442,
-0.41492,
-0.496399
],
[
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0.234293,
-0.0955,
1.109671,
0.078295,
-0.604797
],
[
0.019999,
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0.27398,
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0.77961
],
[
0.203005,
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0.418833,
1.03988,
0.600365
],
[
0.100736,
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0.51491,
-0.385762,
-0.201953,
-0.628721
]
],
"network.2.bias": [
0.15061,
0.06244,
0.611309,
0.073749,
0.243531,
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],
"network.4.weight": [
[
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0.42063,
1.032794,
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0.055479
],
[
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0.592467,
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0.19834
],
[
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0.637237,
0.686827,
0.252349,
0.0026
],
[
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0.881182,
0.885388,
-0.304804,
0.07892,
0.391964
],
[
0.960816,
0.633092,
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0.438973,
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0.353925
],
[
-0.666771,
0.348845,
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0.787895,
0.891637,
-0.13524
]
],
"network.4.bias": [
-0.116321,
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0.716609
],
"network.6.weight": [
[
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[
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[
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[
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[
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[
0.787544,
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0.245353,
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]
],
"network.6.bias": [
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0.09928,
-0.149503,
-0.557631,
-0.808815,
0.103141
],
"network.8.weight": [
[
-0.883969,
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0.191556,
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0.077494,
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],
[
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0.559361
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[
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[
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0.465257
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[
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0.895774
],
[
0.103243,
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-1.042863,
-1.134958,
-0.172822
]
],
"network.8.bias": [
-0.032478,
-0.030147,
0.708986,
-0.276055,
0.005431,
-0.365619
],
"network.10.weight": [
[
-0.02789,
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0.375405,
0.865587,
-0.39288
],
[
0.451317,
0.435911,
-0.163262,
0.529184,
0.525635,
-0.318129
],
[
-0.225384,
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0.61861,
-1.443399,
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-0.20376
],
[
-0.704529,
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0.51597,
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-0.015505
],
[
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],
[
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]
],
"network.10.bias": [
-0.115627,
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-0.468397
],
"network.12.weight": [
[
-0.588899,
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-0.194583,
0.264057,
-0.277218
]
],
"network.12.bias": [
0.476601
]
}
## Activation Signature
### 0
mean: [-0.553080, 0.623900, 1.101203, 1.443352, 0.432551, 1.926607]
std: [1.194539, 2.049051, 2.156314, 1.969475, 2.339854, 2.019234]
pca: [[0.157787, 0.109955, -0.604460, 0.562287, 0.303353, -0.435260, 0.000000, 0.000000, 0.000000, 0.000000], [-0.487587, 0.199403, -0.002866, 0.607603, -0.113420, 0.583475, 0.000000, 0.000000, 0.000000, 0.000000], [-0.490685, 0.197978, 0.444359, -0.023429, 0.644910, -0.325761, 0.000000, 0.000000, 0.000000, 0.000000], [0.391741, -0.279787, 0.637992, 0.559064, -0.126597, -0.180679, 0.000000, 0.000000, 0.000000, 0.000000], [0.560240, 0.243442, 0.061237, -0.036458, 0.578616, 0.535716, 0.000000, 0.000000, 0.000000, 0.000000], [0.171058, 0.878298, 0.162423, -0.014860, -0.358302, -0.210591, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.706766, 18.694496, 22.028104, 22.363848, 49.777179], [30.547913, 31.586480, 33.162091, 38.815955, 56.151000], [37.294599, 38.124803, 41.660773, 41.822622, 99.108227], [29.400942, 29.985535, 34.080574, 34.139635, 129.901684], [38.929599, 38.983983, 39.320215, 40.368623, 40.668359], [30.659522, 31.156729, 32.289327, 34.821902, 173.394646]]
### 2
mean: [-0.392227, 0.587804, 1.467344, 0.573284, 1.860999, -1.192889]
std: [3.332612, 2.100729, 2.169945, 3.765816, 4.175975, 2.831894]
pca: [[-0.451289, -0.219676, 0.414402, 0.252539, 0.679191, 0.226441, 0.000000, 0.000000, 0.000000, 0.000000], [-0.215588, 0.529445, 0.160855, 0.640570, -0.400570, 0.276673, 0.000000, 0.000000, 0.000000, 0.000000], [0.072089, 0.809265, -0.099179, -0.286196, 0.495052, -0.055427, 0.000000, 0.000000, 0.000000, 0.000000], [0.516080, -0.119905, -0.447839, 0.293412, 0.268014, 0.600668, 0.000000, 0.000000, 0.000000, 0.000000], [0.571476, 0.043412, 0.767455, -0.177259, -0.079195, 0.211780, 0.000000, 0.000000, 0.000000, 0.000000], [-0.389538, 0.016076, -0.054891, -0.571380, -0.234655, 0.680773, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.174197, 54.584873, 58.530448, 62.008158, 63.358221], [32.032609, 33.378193, 33.432981, 36.686133, 52.902358], [31.434811, 34.554933, 39.125196, 46.199128, 132.060965], [59.450727, 59.784519, 62.066690, 62.720352, 74.403767], [70.831371, 73.084343, 74.310979, 75.238345, 167.489942], [45.835292, 45.864052, 48.866280, 54.656604, 107.360000]]
### 4
mean: [5.096156, 0.589043, 3.082490, 2.859652, 1.387859, 5.522600]
std: [5.594031, 3.829040, 2.857151, 3.535897, 3.677565, 5.876016]
pca: [[0.577388, 0.282383, 0.093948, -0.182877, 0.735836, -0.056201, 0.000000, 0.000000, 0.000000, 0.000000], [-0.306544, 0.494137, -0.492255, 0.452812, 0.194178, -0.420477, 0.000000, 0.000000, 0.000000, 0.000000], [0.268128, 0.287473, 0.038957, 0.599490, -0.124384, 0.684901, 0.000000, 0.000000, 0.000000, 0.000000], [-0.152424, 0.703664, -0.050801, -0.591055, -0.272895, 0.234999, 0.000000, 0.000000, 0.000000, 0.000000], [-0.308015, 0.267627, 0.860362, 0.209641, 0.065020, -0.212375, 0.000000, 0.000000, 0.000000, 0.000000], [0.618591, 0.163337, 0.067368, 0.093987, -0.571550, -0.500623, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[88.091644, 88.535530, 89.925154, 117.711157, 458.654003], [54.579927, 56.708616, 61.411772, 62.981798, 68.555590], [44.967134, 46.765968, 47.332720, 57.103533, 277.424083], [56.939360, 57.561401, 62.164800, 62.412074, 257.368688], [61.896155, 63.598296, 67.827920, 68.217701, 124.907355], [91.814166, 93.315296, 97.051011, 121.810677, 497.034020]]
### 6
mean: [-7.536722, 5.240771, -8.083622, 6.622150, 4.167701, 12.811954]
std: [9.948840, 3.587688, 7.652394, 7.575011, 6.579823, 13.914154]
pca: [[-0.466774, 0.247882, 0.752653, -0.216830, 0.178108, 0.274686, 0.000000, 0.000000, 0.000000, 0.000000], [-0.013367, 0.894316, -0.156759, 0.405505, 0.031017, -0.100253, 0.000000, 0.000000, 0.000000, 0.000000], [-0.355747, -0.331447, -0.076073, 0.761001, 0.225471, 0.357547, 0.000000, 0.000000, 0.000000, 0.000000], [0.357462, 0.100359, 0.066564, 0.040552, -0.564900, 0.732776, 0.000000, 0.000000, 0.000000, 0.000000], [0.308699, -0.135137, 0.608684, 0.454812, -0.316872, -0.456820, 0.000000, 0.000000, 0.000000, 0.000000], [0.657505, 0.023710, 0.168008, 0.030475, 0.704953, 0.202512, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[158.276673, 160.496467, 168.426376, 202.747837, 678.304939], [61.726691, 66.332438, 66.810315, 70.034782, 471.669348], [116.747471, 118.603735, 124.368247, 160.227098, 727.525972], [117.909110, 119.773454, 125.172986, 157.513113, 595.993547], [102.634823, 109.224661, 109.537710, 134.873100, 375.093102], [217.351518, 221.027268, 230.255994, 289.442068, 1153.075912]]
### 8
mean: [0.553563, 5.560176, -10.334054, 12.066910, 19.124405, -16.885115]
std: [6.750760, 6.494084, 14.003907, 11.327624, 18.257328, 16.410755]
pca: [[0.180839, 0.826794, 0.096596, -0.302312, -0.423464, 0.060536, 0.000000, 0.000000, 0.000000, 0.000000], [0.202808, 0.222668, 0.468114, -0.125667, 0.645234, -0.507974, 0.000000, 0.000000, 0.000000, 0.000000], [-0.441423, -0.320058, 0.530840, -0.444140, -0.409150, -0.237178, 0.000000, 0.000000, 0.000000, 0.000000], [0.357889, -0.205600, 0.328960, -0.394519, 0.211296, 0.721899, 0.000000, 0.000000, 0.000000, 0.000000], [0.578190, -0.191751, 0.416420, 0.514373, -0.417932, -0.127579, 0.000000, 0.000000, 0.000000, 0.000000], [-0.518580, 0.292155, 0.456210, 0.524719, 0.132794, 0.380301, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[97.585097, 105.208619, 116.124261, 122.493516, 123.359124], [101.633278, 105.339801, 106.088372, 133.926293, 500.415885], [218.105534, 227.458330, 230.989655, 291.045533, 930.064771], [177.987836, 178.181602, 184.399340, 232.406557, 1086.021847], [283.670365, 287.683973, 300.372675, 377.379534, 1721.196442], [251.289672, 261.837911, 267.452705, 336.641186, 1519.660498]]
### 10
mean: [24.627340, 20.031498, -23.662811, -11.607316, -9.325006, 9.857085]
std: [24.228218, 19.814508, 24.575548, 10.469249, 10.701927, 10.306314]
pca: [[-0.554111, -0.085200, 0.401797, 0.670521, 0.013805, -0.272897, 0.000000, 0.000000, 0.000000, 0.000000], [-0.453098, 0.264672, -0.135138, -0.132453, 0.752090, 0.351006, 0.000000, 0.000000, 0.000000, 0.000000], [0.562057, 0.095499, -0.265198, 0.696799, 0.302662, 0.165857, 0.000000, 0.000000, 0.000000, 0.000000], [0.238436, -0.647881, 0.563198, -0.098380, 0.305662, 0.321091, 0.000000, 0.000000, 0.000000, 0.000000], [0.243599, 0.702652, 0.653948, -0.051566, -0.047967, 0.119714, 0.000000, 0.000000, 0.000000, 0.000000], [-0.235717, -0.009966, -0.071604, 0.187061, -0.496826, 0.810791, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[377.201729, 384.254230, 399.809671, 501.697511, 2216.460613], [307.488376, 312.197992, 325.378397, 409.316313, 1802.834842], [383.989085, 390.335434, 404.029507, 508.245991, 2129.653113], [160.975011, 169.530843, 170.228162, 215.028086, 1044.658410], [168.051297, 173.676134, 177.798176, 222.082225, 839.250524], [159.922879, 163.251600, 169.991205, 213.594090, 887.137667]]
### 12
mean: [-27.181263]
std: [27.897091]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[433.958094, 442.396649, 459.497304, 578.098060, 2446.313610]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.68011274933815, "train_acc": 0.575, "val_loss": 0.7506864070892334, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6523459255695343, "train_acc": 0.575, "val_loss": 0.6065971255302429, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.550982803106308, "train_acc": 0.61, "val_loss": 0.8744149804115295, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.7315866947174072, "train_acc": 0.61, "val_loss": 0.5373170971870422, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.48218438029289246, "train_acc": 0.765, "val_loss": 0.4939001202583313, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4326295256614685, "train_acc": 0.855, "val_loss": 0.4287044405937195, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3628387451171875, "train_acc": 0.89, "val_loss": 0.3812725841999054, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.30673058331012726, "train_acc": 0.935, "val_loss": 0.36776968836784363, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2416895553469658, "train_acc": 0.93, "val_loss": 0.3159737288951874, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.21538092195987701, "train_acc": 0.935, "val_loss": 0.3379392921924591, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.19727794080972672, "train_acc": 0.935, "val_loss": 0.40321025252342224, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.23594409972429276, "train_acc": 0.93, "val_loss": 0.47031086683273315, "val_acc": 0.88}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7506864070892334, "final_val_loss": 0.6065971255302429, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.8744149804115295, "final_val_loss": 0.47031086683273315, "initial_val_acc": 0.56, "final_val_acc": 0.88, "best_val_acc": 0.9, "best_epoch": 10}, "improvement": 0.42000000000000004, "first_improvement_epoch": 1}}
|
115
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.4, "improved_accuracy": 0.94, "improvement": 0.5399999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7404, "learning_rate": 0.08354148567894708, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
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[
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],
[
-1.620998,
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0.130461,
0.300051,
0.586263
],
[
2.250087,
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-0.168819,
-0.226375,
-0.57749
],
[
1.434309,
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-0.192186
]
],
"network.0.bias": [
0.120609,
-0.304357,
-0.512797,
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0.467491,
0.907567
],
"network.2.weight": [
[
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-0.355354,
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1.095556
],
[
-1.535114,
-1.893209,
0.362316,
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0.657024,
0.722866
],
[
-0.929978,
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0.659271,
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0.277672,
1.017935
],
[
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-0.413184,
0.29407,
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],
[
-0.803154,
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-0.030505,
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0.087609
],
[
1.321859,
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0.777104
]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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[
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],
[
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],
[
1.111617,
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],
[
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],
[
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]
],
"network.4.bias": [
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"network.6.weight": [
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[
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[
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[
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],
"network.6.bias": [
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"network.8.weight": [
[
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[
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[
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[
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],
[
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],
[
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]
],
"network.8.bias": [
0.251047,
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],
"network.10.weight": [
[
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],
[
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],
[
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],
[
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],
[
0.039675,
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],
[
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]
],
"network.10.bias": [
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],
"network.12.weight": [
[
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]
],
"network.12.bias": [
0.288764
]
}
## Activation Signature
### 0
mean: [-1.121098, -1.757542, -6.329142, 0.838890, 2.535603, 0.866730]
std: [1.066775, 1.003626, 4.544683, 3.245042, 4.790124, 2.715297]
pca: [[-0.016489, 0.163406, -0.538806, 0.097417, -0.436959, 0.694472, 0.000000, 0.000000, 0.000000, 0.000000], [-0.011807, 0.247783, -0.028048, 0.723666, -0.446802, -0.462983, 0.000000, 0.000000, 0.000000, 0.000000], [-0.509947, 0.782512, 0.288935, -0.101812, 0.133563, 0.126260, 0.000000, 0.000000, 0.000000, 0.000000], [-0.398621, -0.433919, 0.395985, 0.533708, 0.165073, 0.428857, 0.000000, 0.000000, 0.000000, 0.000000], [0.672281, 0.203635, 0.608050, 0.034031, -0.205009, 0.306039, 0.000000, 0.000000, 0.000000, 0.000000], [0.358723, 0.264243, -0.314467, 0.412855, 0.722716, 0.099179, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.704885, 18.254981, 18.300370, 20.150751, 100.898781], [14.333467, 14.976590, 16.849340, 18.217807, 158.178747], [76.015849, 78.543646, 84.457272, 90.308104, 569.622720], [52.069415, 58.564789, 59.254878, 72.177941, 75.500116], [81.228539, 83.137366, 85.882097, 91.959136, 228.204228], [43.380151, 47.781582, 52.145747, 62.072463, 78.005674]]
### 2
mean: [3.674754, 2.795512, 1.074613, 1.960219, -0.979849, -2.540074]
std: [7.035570, 4.743819, 4.110373, 1.759022, 1.119657, 5.451403]
pca: [[0.643899, -0.104778, 0.342615, -0.135730, 0.660396, 0.049853, 0.000000, 0.000000, 0.000000, 0.000000], [0.433913, -0.026431, 0.286366, 0.504654, -0.431598, -0.536714, 0.000000, 0.000000, 0.000000, 0.000000], [0.371302, -0.419615, 0.029723, -0.128522, -0.518189, 0.632564, 0.000000, 0.000000, 0.000000, 0.000000], [0.116945, 0.723035, 0.078090, 0.445473, 0.013332, 0.508746, 0.000000, 0.000000, 0.000000, 0.000000], [0.056938, -0.406778, -0.582331, 0.624911, 0.303001, 0.099284, 0.000000, 0.000000, 0.000000, 0.000000], [-0.492271, -0.352134, 0.674180, 0.348460, 0.130739, 0.201583, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[117.637329, 124.155851, 126.113711, 145.682417, 330.727809], [80.000411, 81.461869, 84.691741, 97.413145, 251.596090], [66.708563, 73.497604, 77.674182, 90.241234, 96.715184], [29.141738, 31.375005, 31.677023, 32.281834, 176.419666], [15.922194, 16.709319, 19.105276, 21.734845, 88.186378], [95.692094, 95.882107, 98.075089, 99.404195, 228.606669]]
### 4
mean: [2.070232, 4.548907, 1.328866, 7.376292, -2.388611, 2.966750]
std: [3.493837, 6.713941, 3.686338, 11.500113, 4.405623, 5.089018]
pca: [[0.208747, 0.814797, -0.290727, 0.397460, -0.152718, 0.163436, 0.000000, 0.000000, 0.000000, 0.000000], [0.427521, -0.272469, -0.224826, 0.285146, 0.691335, 0.364949, 0.000000, 0.000000, 0.000000, 0.000000], [0.229331, 0.229666, 0.903066, 0.177629, 0.206387, -0.070605, 0.000000, 0.000000, 0.000000, 0.000000], [0.733655, -0.194109, -0.124157, 0.044597, -0.288836, -0.568543, 0.000000, 0.000000, 0.000000, 0.000000], [-0.278886, -0.362371, 0.057341, 0.842131, -0.276908, -0.041946, 0.000000, 0.000000, 0.000000, 0.000000], [0.324085, -0.200321, 0.175216, -0.134134, -0.544090, 0.714223, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[61.312765, 61.610227, 66.048822, 76.835659, 186.320907], [117.222785, 117.297954, 120.882431, 132.509484, 409.401592], [58.860045, 66.163366, 68.321355, 82.858755, 119.597943], [197.533752, 198.998654, 207.309485, 232.455178, 663.866241], [72.601898, 76.043221, 78.100504, 93.594954, 214.975007], [87.801639, 89.010472, 91.272353, 102.420114, 267.007497]]
### 6
mean: [9.336464, 10.413167, 3.284337, 1.499677, 4.873849, -2.185763]
std: [14.379953, 15.033607, 5.041708, 1.478337, 7.411821, 3.532393]
pca: [[0.627300, 0.158369, 0.305536, -0.370216, -0.201748, -0.557046, 0.000000, 0.000000, 0.000000, 0.000000], [0.655821, 0.149586, -0.464953, 0.001927, -0.110752, 0.564865, 0.000000, 0.000000, 0.000000, 0.000000], [0.219587, 0.153420, 0.662589, 0.655867, -0.052216, 0.237343, 0.000000, 0.000000, 0.000000, 0.000000], [0.056410, -0.457788, -0.304825, 0.462008, -0.616442, -0.317613, 0.000000, 0.000000, 0.000000, 0.000000], [0.322819, -0.278170, -0.200255, 0.334836, 0.750910, -0.319884, 0.000000, 0.000000, 0.000000, 0.000000], [-0.144159, 0.801285, -0.344124, 0.327427, -0.020955, -0.333304, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[248.299031, 250.310656, 258.682961, 285.360834, 840.281680], [262.127417, 263.025574, 270.988266, 297.402896, 937.185021], [86.775348, 87.423589, 90.069706, 101.626756, 295.590351], [23.377578, 23.452808, 26.466458, 26.642029, 134.970972], [127.835434, 131.654156, 132.915922, 140.811239, 438.646467], [58.848240, 59.042162, 63.253068, 65.791678, 196.718692]]
### 8
mean: [6.853625, 18.906990, -12.581394, -6.041369, -2.511481, 11.125841]
std: [9.455738, 27.239813, 18.251608, 10.058885, 2.059845, 18.728912]
pca: [[0.235033, 0.026576, -0.257931, -0.423664, 0.569672, -0.611153, 0.000000, 0.000000, 0.000000, 0.000000], [0.676969, -0.358596, 0.354724, 0.000484, 0.341554, 0.413078, 0.000000, 0.000000, 0.000000, 0.000000], [-0.453673, -0.041040, 0.356854, 0.519873, 0.618579, -0.110654, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249815, 0.272401, -0.423385, -0.261128, 0.417449, 0.664593, 0.000000, 0.000000, 0.000000, 0.000000], [-0.046190, 0.584517, 0.679618, -0.440401, -0.014837, 0.012294, 0.000000, 0.000000, 0.000000, 0.000000], [0.464879, 0.673168, -0.197894, 0.536749, 0.041128, -0.042178, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[162.808625, 165.816651, 170.332464, 185.108553, 616.826271], [475.398735, 478.929094, 489.138134, 537.371967, 1701.628877], [314.820453, 319.963814, 328.378289, 357.351138, 1132.325415], [174.980594, 179.795723, 180.190043, 199.613697, 543.723240], [33.863362, 36.710054, 38.796618, 45.158552, 226.033261], [321.798472, 332.282766, 335.749387, 357.860891, 1001.325742]]
### 10
mean: [-26.024023, -2.915751, 13.956064, 10.486133, -18.630693, -11.088223]
std: [35.553749, 4.369678, 18.808969, 14.500634, 27.701763, 15.929144]
pca: [[0.663928, -0.455486, 0.531884, -0.184878, 0.080352, -0.167915, 0.000000, 0.000000, 0.000000, 0.000000], [0.081194, 0.393561, 0.307672, -0.478735, -0.090952, 0.711615, 0.000000, 0.000000, 0.000000, 0.000000], [-0.351241, 0.230506, 0.227000, -0.520427, 0.531347, -0.467754, 0.000000, 0.000000, 0.000000, 0.000000], [-0.270784, 0.058878, 0.620901, 0.630593, 0.319440, 0.194939, 0.000000, 0.000000, 0.000000, 0.000000], [0.517128, 0.757794, -0.004205, 0.253561, -0.006614, -0.306549, 0.000000, 0.000000, 0.000000, 0.000000], [0.297476, -0.082410, -0.430549, 0.062028, 0.775149, 0.338588, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[612.506569, 621.358052, 638.821593, 702.492201, 2342.162126], [75.773868, 76.996288, 82.252412, 84.009927, 262.417621], [324.502103, 329.366831, 339.086285, 371.499921, 1256.045920], [252.169328, 254.380504, 262.128301, 285.401361, 943.752072], [483.909983, 495.766890, 496.920415, 542.453104, 1676.762258], [276.705745, 279.110353, 287.464750, 313.948022, 997.940131]]
### 12
mean: [-10.916210]
std: [15.311340]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[264.462978, 268.879704, 276.863260, 301.403511, 982.458897]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
-1.620998,
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0.130461,
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[
2.250087,
0.449085,
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],
[
1.434309,
-0.377856,
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-0.192186
]
],
"network.0.bias": [
0.120609,
-0.304357,
-0.512797,
0.150942,
0.467491,
0.907567
],
"network.2.weight": [
[
-1.586439,
-1.210029,
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-0.355354,
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1.095556
],
[
-1.535114,
-1.893209,
0.362316,
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0.657024,
0.722866
],
[
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0.277672,
1.017935
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[
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[
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],
[
1.321859,
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0.777104
]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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],
[
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[
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],
[
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],
[
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]
],
"network.4.bias": [
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"network.6.weight": [
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[
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[
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"network.6.bias": [
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0.076928,
0.046575
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"network.8.weight": [
[
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[
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0.516282,
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[
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[
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[
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[
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],
"network.8.bias": [
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],
"network.10.weight": [
[
-1.182247,
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],
[
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0.255651,
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],
[
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0.740384,
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[
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[
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[
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],
"network.10.bias": [
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],
"network.12.weight": [
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],
"network.12.bias": [
0.288764
]
}
## Activation Signature
### 0
mean: [-1.121098, -1.757542, -6.329142, 0.838890, 2.535603, 0.866730]
std: [1.066775, 1.003626, 4.544683, 3.245042, 4.790124, 2.715297]
pca: [[-0.016489, 0.163406, -0.538806, 0.097417, -0.436959, 0.694472, 0.000000, 0.000000, 0.000000, 0.000000], [-0.011807, 0.247783, -0.028048, 0.723666, -0.446802, -0.462983, 0.000000, 0.000000, 0.000000, 0.000000], [-0.509947, 0.782512, 0.288935, -0.101812, 0.133563, 0.126260, 0.000000, 0.000000, 0.000000, 0.000000], [-0.398621, -0.433919, 0.395985, 0.533708, 0.165073, 0.428857, 0.000000, 0.000000, 0.000000, 0.000000], [0.672281, 0.203635, 0.608050, 0.034031, -0.205009, 0.306039, 0.000000, 0.000000, 0.000000, 0.000000], [0.358723, 0.264243, -0.314467, 0.412855, 0.722716, 0.099179, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.704885, 18.254981, 18.300370, 20.150751, 100.898781], [14.333467, 14.976590, 16.849340, 18.217807, 158.178747], [76.015849, 78.543646, 84.457272, 90.308104, 569.622720], [52.069415, 58.564789, 59.254878, 72.177941, 75.500116], [81.228539, 83.137366, 85.882097, 91.959136, 228.204228], [43.380151, 47.781582, 52.145747, 62.072463, 78.005674]]
### 2
mean: [3.674754, 2.795512, 1.074613, 1.960219, -0.979849, -2.540074]
std: [7.035570, 4.743819, 4.110373, 1.759022, 1.119657, 5.451403]
pca: [[0.643899, -0.104778, 0.342615, -0.135730, 0.660396, 0.049853, 0.000000, 0.000000, 0.000000, 0.000000], [0.433913, -0.026431, 0.286366, 0.504654, -0.431598, -0.536714, 0.000000, 0.000000, 0.000000, 0.000000], [0.371302, -0.419615, 0.029723, -0.128522, -0.518189, 0.632564, 0.000000, 0.000000, 0.000000, 0.000000], [0.116945, 0.723035, 0.078090, 0.445473, 0.013332, 0.508746, 0.000000, 0.000000, 0.000000, 0.000000], [0.056938, -0.406778, -0.582331, 0.624911, 0.303001, 0.099284, 0.000000, 0.000000, 0.000000, 0.000000], [-0.492271, -0.352134, 0.674180, 0.348460, 0.130739, 0.201583, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[117.637329, 124.155851, 126.113711, 145.682417, 330.727809], [80.000411, 81.461869, 84.691741, 97.413145, 251.596090], [66.708563, 73.497604, 77.674182, 90.241234, 96.715184], [29.141738, 31.375005, 31.677023, 32.281834, 176.419666], [15.922194, 16.709319, 19.105276, 21.734845, 88.186378], [95.692094, 95.882107, 98.075089, 99.404195, 228.606669]]
### 4
mean: [2.070232, 4.548907, 1.328866, 7.376292, -2.388611, 2.966750]
std: [3.493837, 6.713941, 3.686338, 11.500113, 4.405623, 5.089018]
pca: [[0.208747, 0.814797, -0.290727, 0.397460, -0.152718, 0.163436, 0.000000, 0.000000, 0.000000, 0.000000], [0.427521, -0.272469, -0.224826, 0.285146, 0.691335, 0.364949, 0.000000, 0.000000, 0.000000, 0.000000], [0.229331, 0.229666, 0.903066, 0.177629, 0.206387, -0.070605, 0.000000, 0.000000, 0.000000, 0.000000], [0.733655, -0.194109, -0.124157, 0.044597, -0.288836, -0.568543, 0.000000, 0.000000, 0.000000, 0.000000], [-0.278886, -0.362371, 0.057341, 0.842131, -0.276908, -0.041946, 0.000000, 0.000000, 0.000000, 0.000000], [0.324085, -0.200321, 0.175216, -0.134134, -0.544090, 0.714223, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[61.312765, 61.610227, 66.048822, 76.835659, 186.320907], [117.222785, 117.297954, 120.882431, 132.509484, 409.401592], [58.860045, 66.163366, 68.321355, 82.858755, 119.597943], [197.533752, 198.998654, 207.309485, 232.455178, 663.866241], [72.601898, 76.043221, 78.100504, 93.594954, 214.975007], [87.801639, 89.010472, 91.272353, 102.420114, 267.007497]]
### 6
mean: [9.336464, 10.413167, 3.284337, 1.499677, 4.873849, -2.185763]
std: [14.379953, 15.033607, 5.041708, 1.478337, 7.411821, 3.532393]
pca: [[0.627300, 0.158369, 0.305536, -0.370216, -0.201748, -0.557046, 0.000000, 0.000000, 0.000000, 0.000000], [0.655821, 0.149586, -0.464953, 0.001927, -0.110752, 0.564865, 0.000000, 0.000000, 0.000000, 0.000000], [0.219587, 0.153420, 0.662589, 0.655867, -0.052216, 0.237343, 0.000000, 0.000000, 0.000000, 0.000000], [0.056410, -0.457788, -0.304825, 0.462008, -0.616442, -0.317613, 0.000000, 0.000000, 0.000000, 0.000000], [0.322819, -0.278170, -0.200255, 0.334836, 0.750910, -0.319884, 0.000000, 0.000000, 0.000000, 0.000000], [-0.144159, 0.801285, -0.344124, 0.327427, -0.020955, -0.333304, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[248.299031, 250.310656, 258.682961, 285.360834, 840.281680], [262.127417, 263.025574, 270.988266, 297.402896, 937.185021], [86.775348, 87.423589, 90.069706, 101.626756, 295.590351], [23.377578, 23.452808, 26.466458, 26.642029, 134.970972], [127.835434, 131.654156, 132.915922, 140.811239, 438.646467], [58.848240, 59.042162, 63.253068, 65.791678, 196.718692]]
### 8
mean: [6.853625, 18.906990, -12.581394, -6.041369, -2.511481, 11.125841]
std: [9.455738, 27.239813, 18.251608, 10.058885, 2.059845, 18.728912]
pca: [[0.235033, 0.026576, -0.257931, -0.423664, 0.569672, -0.611153, 0.000000, 0.000000, 0.000000, 0.000000], [0.676969, -0.358596, 0.354724, 0.000484, 0.341554, 0.413078, 0.000000, 0.000000, 0.000000, 0.000000], [-0.453673, -0.041040, 0.356854, 0.519873, 0.618579, -0.110654, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249815, 0.272401, -0.423385, -0.261128, 0.417449, 0.664593, 0.000000, 0.000000, 0.000000, 0.000000], [-0.046190, 0.584517, 0.679618, -0.440401, -0.014837, 0.012294, 0.000000, 0.000000, 0.000000, 0.000000], [0.464879, 0.673168, -0.197894, 0.536749, 0.041128, -0.042178, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[162.808625, 165.816651, 170.332464, 185.108553, 616.826271], [475.398735, 478.929094, 489.138134, 537.371967, 1701.628877], [314.820453, 319.963814, 328.378289, 357.351138, 1132.325415], [174.980594, 179.795723, 180.190043, 199.613697, 543.723240], [33.863362, 36.710054, 38.796618, 45.158552, 226.033261], [321.798472, 332.282766, 335.749387, 357.860891, 1001.325742]]
### 10
mean: [-26.024023, -2.915751, 13.956064, 10.486133, -18.630693, -11.088223]
std: [35.553749, 4.369678, 18.808969, 14.500634, 27.701763, 15.929144]
pca: [[0.663928, -0.455486, 0.531884, -0.184878, 0.080352, -0.167915, 0.000000, 0.000000, 0.000000, 0.000000], [0.081194, 0.393561, 0.307672, -0.478735, -0.090952, 0.711615, 0.000000, 0.000000, 0.000000, 0.000000], [-0.351241, 0.230506, 0.227000, -0.520427, 0.531347, -0.467754, 0.000000, 0.000000, 0.000000, 0.000000], [-0.270784, 0.058878, 0.620901, 0.630593, 0.319440, 0.194939, 0.000000, 0.000000, 0.000000, 0.000000], [0.517128, 0.757794, -0.004205, 0.253561, -0.006614, -0.306549, 0.000000, 0.000000, 0.000000, 0.000000], [0.297476, -0.082410, -0.430549, 0.062028, 0.775149, 0.338588, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[612.506569, 621.358052, 638.821593, 702.492201, 2342.162126], [75.773868, 76.996288, 82.252412, 84.009927, 262.417621], [324.502103, 329.366831, 339.086285, 371.499921, 1256.045920], [252.169328, 254.380504, 262.128301, 285.401361, 943.752072], [483.909983, 495.766890, 496.920415, 542.453104, 1676.762258], [276.705745, 279.110353, 287.464750, 313.948022, 997.940131]]
### 12
mean: [-10.916210]
std: [15.311340]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[264.462978, 268.879704, 276.863260, 301.403511, 982.458897]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7131723463535309, "train_acc": 0.405, "val_loss": 0.7550726532936096, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6772644221782684, "train_acc": 0.595, "val_loss": 0.7803349494934082, "val_acc": 0.4}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6732133030891418, "train_acc": 0.595, "val_loss": 0.7197860479354858, "val_acc": 0.4}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6293683648109436, "train_acc": 0.595, "val_loss": 0.6239786744117737, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5880866348743439, "train_acc": 0.645, "val_loss": 0.5596441626548767, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6152121722698212, "train_acc": 0.62, "val_loss": 0.5721129775047302, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.6168825626373291, "train_acc": 0.6, "val_loss": 0.5655084848403931, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.6106331944465637, "train_acc": 0.605, "val_loss": 0.5425840020179749, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5897259414196014, "train_acc": 0.62, "val_loss": 0.5105588436126709, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.5652402639389038, "train_acc": 0.67, "val_loss": 0.507648229598999, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.5041119009256363, "train_acc": 0.79, "val_loss": 0.5129696726799011, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.493006631731987, "train_acc": 0.77, "val_loss": 0.3132776916027069, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.4574562907218933, "train_acc": 0.785, "val_loss": 0.6681201457977295, "val_acc": 0.58}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.5072473287582397, "train_acc": 0.685, "val_loss": 0.28143778443336487, "val_acc": 0.94}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7550726532936096, "final_val_loss": 0.6239786744117737, "initial_val_acc": 0.4, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.5596441626548767, "final_val_loss": 0.28143778443336487, "initial_val_acc": 0.78, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 13}, "improvement": 0.5399999999999999, "first_improvement_epoch": 3}}
|
116
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.88, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8783, "learning_rate": 0.031108643354402415, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.10.weight": [
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}
## Activation Signature
### 0
mean: [-0.192037, 0.261034, 1.136830, -0.256318, 0.704200, 0.274312, 2.911788, 1.747041]
std: [1.362404, 0.927650, 1.305246, 1.524698, 1.257797, 1.519258, 2.024110, 1.709803]
pca: [[-0.274358, 0.148175, 0.621655, -0.150441, 0.622977, -0.185322, -0.251983, 0.088004, 0.000000, 0.000000], [-0.055741, 0.037670, -0.501461, -0.224544, 0.628814, 0.022033, 0.541513, 0.066802, 0.000000, 0.000000], [-0.306274, 0.365574, 0.198769, 0.082760, -0.291194, 0.128192, 0.411046, 0.675284, 0.000000, 0.000000], [0.457449, -0.285849, -0.145229, 0.251523, 0.238781, -0.032320, -0.323053, 0.679891, 0.000000, 0.000000], [0.339997, -0.010241, 0.369651, 0.658944, 0.190999, 0.100551, 0.455448, -0.243771, 0.000000, 0.000000], [0.499669, 0.019166, 0.223347, -0.426793, -0.179666, -0.623070, 0.306932, 0.056787, 0.000000, 0.000000], [0.124663, 0.789318, -0.306359, 0.294883, 0.056817, -0.332432, -0.246171, -0.079278, 0.000000, 0.000000], [0.487595, 0.371182, 0.145260, -0.391816, 0.051898, 0.662462, -0.087785, -0.024478, 0.000000, 0.000000]]
fourier: [[20.312068, 20.489344, 20.765793, 20.949641, 22.577428], [15.918764, 16.164861, 16.282634, 18.009022, 23.493088], [19.967812, 22.362153, 23.572122, 23.976047, 102.314714], [22.988271, 23.068636, 23.098896, 23.287340, 27.776613], [22.742314, 23.160149, 24.694213, 25.536483, 63.377970], [22.612112, 24.076400, 24.688088, 25.446792, 29.523024], [31.100750, 35.647647, 36.274452, 36.570158, 262.060922], [26.810512, 27.335760, 27.397685, 31.579506, 157.233694]]
### 2
mean: [1.189903, 0.089025, 1.833203, -1.992461, 0.098444, -1.955229, 3.592919, -1.556525]
std: [0.936646, 1.437603, 1.747182, 1.365096, 1.536679, 1.196200, 2.722417, 0.964956]
pca: [[0.103719, 0.226091, 0.738606, 0.544665, 0.111476, -0.113636, -0.018777, 0.265017, 0.000000, 0.000000], [0.308444, -0.355806, -0.145714, 0.576009, 0.080248, 0.474757, -0.086506, -0.431194, 0.000000, 0.000000], [-0.105302, 0.654886, -0.454370, 0.293037, 0.276775, 0.215159, 0.350883, 0.147296, 0.000000, 0.000000], [-0.357005, -0.187453, 0.085695, -0.143088, 0.273113, 0.625588, -0.329404, 0.484905, 0.000000, 0.000000], [0.331291, -0.384795, 0.092651, -0.158687, 0.131584, 0.121254, 0.758907, 0.316949, 0.000000, 0.000000], [-0.263664, -0.266361, -0.292107, 0.439219, -0.604697, -0.139870, 0.051043, 0.439848, 0.000000, 0.000000], [0.753435, 0.151169, -0.240012, -0.089791, -0.067582, -0.020791, -0.402357, 0.420624, 0.000000, 0.000000], [-0.092880, -0.341180, -0.260607, 0.197615, 0.665130, -0.537904, -0.141781, 0.127122, 0.000000, 0.000000]]
fourier: [[15.359494, 16.149588, 17.927794, 18.451059, 107.091233], [20.540443, 22.691815, 25.611760, 25.808500, 26.326828], [26.978178, 28.805487, 30.206506, 32.568520, 164.988250], [21.568166, 21.939388, 23.468457, 28.272364, 179.321485], [22.593268, 23.631411, 26.272233, 26.619318, 28.426632], [17.817483, 18.421365, 23.171498, 23.700905, 175.970588], [44.586853, 45.390313, 47.403006, 53.337921, 323.362670], [14.570043, 15.371855, 15.888088, 17.512466, 140.087285]]
### 4
mean: [1.260574, -0.790165, 2.030003, -1.712441, -2.019143, -1.398937, 0.154828, -1.934194]
std: [0.759637, 0.447004, 1.074634, 1.152653, 1.345283, 1.257390, 2.499797, 1.472957]
pca: [[-0.125528, 0.330951, -0.022370, -0.384984, 0.538528, 0.329648, 0.503595, -0.271502, 0.000000, 0.000000], [-0.130176, -0.001798, 0.015107, 0.535596, 0.307092, 0.375587, 0.160158, 0.659498, 0.000000, 0.000000], [-0.015960, 0.562432, 0.513108, 0.336399, -0.443429, 0.004949, 0.294109, -0.154331, 0.000000, 0.000000], [-0.278014, -0.351582, 0.220761, 0.149113, -0.094995, 0.662314, -0.286517, -0.445367, 0.000000, 0.000000], [-0.327565, -0.402627, -0.239677, -0.132306, -0.492585, 0.032038, 0.633287, 0.104517, 0.000000, 0.000000], [-0.354128, -0.185255, 0.709313, -0.420319, 0.112059, -0.186177, -0.077773, 0.327434, 0.000000, 0.000000], [0.691551, -0.468285, 0.355761, 0.109695, 0.152890, -0.004409, 0.356018, -0.117150, 0.000000, 0.000000], [-0.422851, -0.186576, 0.010941, 0.472567, 0.362570, -0.525237, 0.135276, -0.370563, 0.000000, 0.000000]]
fourier: [[12.833232, 13.032179, 13.312142, 14.185335, 113.451702], [7.072863, 7.879293, 7.991391, 8.099806, 71.114814], [17.858735, 18.253130, 18.292836, 20.406094, 182.700239], [19.218392, 19.420567, 19.441525, 23.349691, 154.119653], [22.004119, 24.108846, 24.224789, 27.190052, 181.722881], [21.161123, 21.379718, 21.414834, 23.503166, 125.904315], [38.095738, 39.129480, 39.506785, 45.878439, 51.020683], [24.928293, 25.900057, 26.464430, 27.349039, 174.077464]]
### 6
mean: [1.279059, -1.370978, 1.330111, -1.041283, -0.927277, -0.044308, 1.642249, 0.579346]
std: [1.043973, 0.705452, 1.212100, 0.547171, 0.612583, 0.885840, 1.054465, 1.373352]
pca: [[-0.405381, -0.189582, 0.098770, 0.342737, 0.028156, 0.705187, -0.367477, 0.198442, 0.000000, 0.000000], [0.175549, 0.517662, 0.098338, 0.006039, 0.183313, 0.194957, 0.342376, 0.708991, 0.000000, 0.000000], [-0.477510, -0.107654, -0.019640, -0.209674, 0.066702, 0.265815, 0.758755, -0.255401, 0.000000, 0.000000], [0.152795, 0.365498, -0.255003, 0.704323, -0.344764, 0.099988, 0.223132, -0.321433, 0.000000, 0.000000], [-0.179981, 0.387069, -0.198897, 0.085344, 0.797130, -0.058798, -0.193034, -0.307906, 0.000000, 0.000000], [0.329959, -0.277989, 0.710573, 0.356669, 0.334861, -0.017629, 0.207318, -0.162172, 0.000000, 0.000000], [-0.395482, -0.317077, -0.189151, 0.455753, 0.118628, -0.550068, 0.144896, 0.402400, 0.000000, 0.000000], [0.505781, -0.472514, -0.578714, 0.015929, 0.284028, 0.278755, 0.144929, 0.079824, 0.000000, 0.000000]]
fourier: [[16.390417, 17.076159, 18.822592, 20.054612, 115.115306], [11.468593, 11.798284, 12.298371, 13.168382, 123.388016], [18.078235, 19.125977, 21.819845, 24.127973, 119.709988], [9.111179, 9.314385, 9.577264, 10.231287, 93.715514], [11.013839, 11.058212, 11.279506, 12.592585, 83.454912], [12.198406, 14.611449, 16.194218, 16.369190, 18.427320], [17.496211, 17.887230, 19.174452, 19.207483, 147.802402], [23.765153, 24.140500, 24.862062, 27.711042, 52.141166]]
### 8
mean: [-1.156968, -0.914783, -1.099899, 0.327682, -0.587919, 1.990523, 1.769646, -0.601020]
std: [0.298717, 0.364510, 0.367530, 1.204892, 0.246611, 1.639314, 1.499087, 0.205179]
pca: [[-0.062417, -0.425580, 0.401176, 0.665035, 0.143767, 0.348178, -0.241587, -0.107292, 0.000000, 0.000000], [-0.109598, -0.395912, 0.157011, -0.348615, 0.428308, -0.447852, -0.126647, -0.533853, 0.000000, 0.000000], [-0.119429, -0.347061, 0.175609, -0.621202, -0.210036, 0.466749, -0.344321, 0.260822, 0.000000, 0.000000], [-0.445496, 0.682561, 0.355861, -0.029621, 0.100119, 0.024685, -0.424866, -0.130324, 0.000000, 0.000000], [-0.096203, 0.017322, 0.534951, -0.109534, 0.413054, -0.056412, 0.528431, 0.489121, 0.000000, 0.000000], [0.641023, 0.230994, -0.106016, -0.114590, 0.591159, 0.337915, -0.217769, -0.016792, 0.000000, 0.000000], [0.587981, 0.061649, 0.550289, -0.016491, -0.422459, -0.367899, -0.182213, 0.019106, 0.000000, 0.000000], [-0.073997, -0.135409, -0.238114, 0.155004, 0.207823, -0.454993, -0.516395, 0.615298, 0.000000, 0.000000]]
fourier: [[4.462073, 4.750003, 5.414450, 5.542587, 104.127133], [5.738969, 6.547476, 6.805783, 6.951365, 82.330432], [5.846853, 6.758916, 6.772982, 7.012844, 98.990939], [20.396532, 20.749676, 21.170317, 24.429650, 29.491400], [3.466849, 3.643503, 4.195588, 4.943723, 52.912715], [25.000041, 25.939160, 30.242523, 33.392670, 179.147016], [22.079597, 23.097650, 27.766486, 31.062253, 159.268145], [3.523227, 3.724098, 3.779028, 3.975235, 54.091767]]
### 10
mean: [0.867974, 2.260256, 1.221289, 2.873130, -0.624914, 0.489735, -0.328915, -0.382865]
std: [0.743999, 1.384278, 0.911535, 1.603682, 1.310186, 0.707076, 0.982000, 0.737103]
pca: [[0.241044, -0.202116, -0.220298, 0.228916, 0.722537, 0.216124, -0.143756, 0.458996, 0.000000, 0.000000], [0.447498, 0.420657, 0.125401, 0.065763, -0.401030, 0.181577, 0.231793, 0.596004, 0.000000, 0.000000], [0.297754, -0.061949, -0.153326, 0.831551, -0.242563, -0.084660, -0.180164, -0.306685, 0.000000, 0.000000], [0.516821, 0.551190, 0.067160, -0.205502, 0.389243, -0.087438, -0.020573, -0.471980, 0.000000, 0.000000], [-0.423276, 0.409449, -0.080793, 0.201654, 0.058982, 0.755304, 0.026215, -0.177047, 0.000000, 0.000000], [0.221115, -0.424140, 0.322502, 0.071533, 0.096266, 0.280013, 0.718145, -0.242242, 0.000000, 0.000000], [-0.316899, 0.320790, -0.321759, 0.257968, 0.208791, -0.467720, 0.594765, 0.102431, 0.000000, 0.000000], [-0.239588, 0.155237, 0.832862, 0.311827, 0.224563, -0.194559, -0.150197, 0.129468, 0.000000, 0.000000]]
fourier: [[10.797329, 10.931793, 14.005825, 15.704165, 78.117654], [22.874304, 24.041484, 27.155681, 27.715171, 203.423040], [14.088165, 14.217712, 17.487889, 19.058401, 109.915976], [26.631159, 28.129686, 31.526203, 31.912083, 258.581711], [19.053017, 19.069204, 24.449524, 27.596166, 56.242246], [11.068621, 11.340791, 12.664749, 14.750067, 44.076119], [14.252577, 14.310183, 18.239897, 20.644615, 29.602349], [10.968906, 10.973365, 14.069134, 15.621345, 34.457879]]
### 12
mean: [-2.995008]
std: [2.562936]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.802256, 39.960617, 49.168023, 53.346928, 269.550698]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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]
],
"network.12.bias": [
0.09023
]
}
## Activation Signature
### 0
mean: [-0.192037, 0.261034, 1.136830, -0.256318, 0.704200, 0.274312, 2.911788, 1.747041]
std: [1.362404, 0.927650, 1.305246, 1.524698, 1.257797, 1.519258, 2.024110, 1.709803]
pca: [[-0.274358, 0.148175, 0.621655, -0.150441, 0.622977, -0.185322, -0.251983, 0.088004, 0.000000, 0.000000], [-0.055741, 0.037670, -0.501461, -0.224544, 0.628814, 0.022033, 0.541513, 0.066802, 0.000000, 0.000000], [-0.306274, 0.365574, 0.198769, 0.082760, -0.291194, 0.128192, 0.411046, 0.675284, 0.000000, 0.000000], [0.457449, -0.285849, -0.145229, 0.251523, 0.238781, -0.032320, -0.323053, 0.679891, 0.000000, 0.000000], [0.339997, -0.010241, 0.369651, 0.658944, 0.190999, 0.100551, 0.455448, -0.243771, 0.000000, 0.000000], [0.499669, 0.019166, 0.223347, -0.426793, -0.179666, -0.623070, 0.306932, 0.056787, 0.000000, 0.000000], [0.124663, 0.789318, -0.306359, 0.294883, 0.056817, -0.332432, -0.246171, -0.079278, 0.000000, 0.000000], [0.487595, 0.371182, 0.145260, -0.391816, 0.051898, 0.662462, -0.087785, -0.024478, 0.000000, 0.000000]]
fourier: [[20.312068, 20.489344, 20.765793, 20.949641, 22.577428], [15.918764, 16.164861, 16.282634, 18.009022, 23.493088], [19.967812, 22.362153, 23.572122, 23.976047, 102.314714], [22.988271, 23.068636, 23.098896, 23.287340, 27.776613], [22.742314, 23.160149, 24.694213, 25.536483, 63.377970], [22.612112, 24.076400, 24.688088, 25.446792, 29.523024], [31.100750, 35.647647, 36.274452, 36.570158, 262.060922], [26.810512, 27.335760, 27.397685, 31.579506, 157.233694]]
### 2
mean: [1.189903, 0.089025, 1.833203, -1.992461, 0.098444, -1.955229, 3.592919, -1.556525]
std: [0.936646, 1.437603, 1.747182, 1.365096, 1.536679, 1.196200, 2.722417, 0.964956]
pca: [[0.103719, 0.226091, 0.738606, 0.544665, 0.111476, -0.113636, -0.018777, 0.265017, 0.000000, 0.000000], [0.308444, -0.355806, -0.145714, 0.576009, 0.080248, 0.474757, -0.086506, -0.431194, 0.000000, 0.000000], [-0.105302, 0.654886, -0.454370, 0.293037, 0.276775, 0.215159, 0.350883, 0.147296, 0.000000, 0.000000], [-0.357005, -0.187453, 0.085695, -0.143088, 0.273113, 0.625588, -0.329404, 0.484905, 0.000000, 0.000000], [0.331291, -0.384795, 0.092651, -0.158687, 0.131584, 0.121254, 0.758907, 0.316949, 0.000000, 0.000000], [-0.263664, -0.266361, -0.292107, 0.439219, -0.604697, -0.139870, 0.051043, 0.439848, 0.000000, 0.000000], [0.753435, 0.151169, -0.240012, -0.089791, -0.067582, -0.020791, -0.402357, 0.420624, 0.000000, 0.000000], [-0.092880, -0.341180, -0.260607, 0.197615, 0.665130, -0.537904, -0.141781, 0.127122, 0.000000, 0.000000]]
fourier: [[15.359494, 16.149588, 17.927794, 18.451059, 107.091233], [20.540443, 22.691815, 25.611760, 25.808500, 26.326828], [26.978178, 28.805487, 30.206506, 32.568520, 164.988250], [21.568166, 21.939388, 23.468457, 28.272364, 179.321485], [22.593268, 23.631411, 26.272233, 26.619318, 28.426632], [17.817483, 18.421365, 23.171498, 23.700905, 175.970588], [44.586853, 45.390313, 47.403006, 53.337921, 323.362670], [14.570043, 15.371855, 15.888088, 17.512466, 140.087285]]
### 4
mean: [1.260574, -0.790165, 2.030003, -1.712441, -2.019143, -1.398937, 0.154828, -1.934194]
std: [0.759637, 0.447004, 1.074634, 1.152653, 1.345283, 1.257390, 2.499797, 1.472957]
pca: [[-0.125528, 0.330951, -0.022370, -0.384984, 0.538528, 0.329648, 0.503595, -0.271502, 0.000000, 0.000000], [-0.130176, -0.001798, 0.015107, 0.535596, 0.307092, 0.375587, 0.160158, 0.659498, 0.000000, 0.000000], [-0.015960, 0.562432, 0.513108, 0.336399, -0.443429, 0.004949, 0.294109, -0.154331, 0.000000, 0.000000], [-0.278014, -0.351582, 0.220761, 0.149113, -0.094995, 0.662314, -0.286517, -0.445367, 0.000000, 0.000000], [-0.327565, -0.402627, -0.239677, -0.132306, -0.492585, 0.032038, 0.633287, 0.104517, 0.000000, 0.000000], [-0.354128, -0.185255, 0.709313, -0.420319, 0.112059, -0.186177, -0.077773, 0.327434, 0.000000, 0.000000], [0.691551, -0.468285, 0.355761, 0.109695, 0.152890, -0.004409, 0.356018, -0.117150, 0.000000, 0.000000], [-0.422851, -0.186576, 0.010941, 0.472567, 0.362570, -0.525237, 0.135276, -0.370563, 0.000000, 0.000000]]
fourier: [[12.833232, 13.032179, 13.312142, 14.185335, 113.451702], [7.072863, 7.879293, 7.991391, 8.099806, 71.114814], [17.858735, 18.253130, 18.292836, 20.406094, 182.700239], [19.218392, 19.420567, 19.441525, 23.349691, 154.119653], [22.004119, 24.108846, 24.224789, 27.190052, 181.722881], [21.161123, 21.379718, 21.414834, 23.503166, 125.904315], [38.095738, 39.129480, 39.506785, 45.878439, 51.020683], [24.928293, 25.900057, 26.464430, 27.349039, 174.077464]]
### 6
mean: [1.279059, -1.370978, 1.330111, -1.041283, -0.927277, -0.044308, 1.642249, 0.579346]
std: [1.043973, 0.705452, 1.212100, 0.547171, 0.612583, 0.885840, 1.054465, 1.373352]
pca: [[-0.405381, -0.189582, 0.098770, 0.342737, 0.028156, 0.705187, -0.367477, 0.198442, 0.000000, 0.000000], [0.175549, 0.517662, 0.098338, 0.006039, 0.183313, 0.194957, 0.342376, 0.708991, 0.000000, 0.000000], [-0.477510, -0.107654, -0.019640, -0.209674, 0.066702, 0.265815, 0.758755, -0.255401, 0.000000, 0.000000], [0.152795, 0.365498, -0.255003, 0.704323, -0.344764, 0.099988, 0.223132, -0.321433, 0.000000, 0.000000], [-0.179981, 0.387069, -0.198897, 0.085344, 0.797130, -0.058798, -0.193034, -0.307906, 0.000000, 0.000000], [0.329959, -0.277989, 0.710573, 0.356669, 0.334861, -0.017629, 0.207318, -0.162172, 0.000000, 0.000000], [-0.395482, -0.317077, -0.189151, 0.455753, 0.118628, -0.550068, 0.144896, 0.402400, 0.000000, 0.000000], [0.505781, -0.472514, -0.578714, 0.015929, 0.284028, 0.278755, 0.144929, 0.079824, 0.000000, 0.000000]]
fourier: [[16.390417, 17.076159, 18.822592, 20.054612, 115.115306], [11.468593, 11.798284, 12.298371, 13.168382, 123.388016], [18.078235, 19.125977, 21.819845, 24.127973, 119.709988], [9.111179, 9.314385, 9.577264, 10.231287, 93.715514], [11.013839, 11.058212, 11.279506, 12.592585, 83.454912], [12.198406, 14.611449, 16.194218, 16.369190, 18.427320], [17.496211, 17.887230, 19.174452, 19.207483, 147.802402], [23.765153, 24.140500, 24.862062, 27.711042, 52.141166]]
### 8
mean: [-1.156968, -0.914783, -1.099899, 0.327682, -0.587919, 1.990523, 1.769646, -0.601020]
std: [0.298717, 0.364510, 0.367530, 1.204892, 0.246611, 1.639314, 1.499087, 0.205179]
pca: [[-0.062417, -0.425580, 0.401176, 0.665035, 0.143767, 0.348178, -0.241587, -0.107292, 0.000000, 0.000000], [-0.109598, -0.395912, 0.157011, -0.348615, 0.428308, -0.447852, -0.126647, -0.533853, 0.000000, 0.000000], [-0.119429, -0.347061, 0.175609, -0.621202, -0.210036, 0.466749, -0.344321, 0.260822, 0.000000, 0.000000], [-0.445496, 0.682561, 0.355861, -0.029621, 0.100119, 0.024685, -0.424866, -0.130324, 0.000000, 0.000000], [-0.096203, 0.017322, 0.534951, -0.109534, 0.413054, -0.056412, 0.528431, 0.489121, 0.000000, 0.000000], [0.641023, 0.230994, -0.106016, -0.114590, 0.591159, 0.337915, -0.217769, -0.016792, 0.000000, 0.000000], [0.587981, 0.061649, 0.550289, -0.016491, -0.422459, -0.367899, -0.182213, 0.019106, 0.000000, 0.000000], [-0.073997, -0.135409, -0.238114, 0.155004, 0.207823, -0.454993, -0.516395, 0.615298, 0.000000, 0.000000]]
fourier: [[4.462073, 4.750003, 5.414450, 5.542587, 104.127133], [5.738969, 6.547476, 6.805783, 6.951365, 82.330432], [5.846853, 6.758916, 6.772982, 7.012844, 98.990939], [20.396532, 20.749676, 21.170317, 24.429650, 29.491400], [3.466849, 3.643503, 4.195588, 4.943723, 52.912715], [25.000041, 25.939160, 30.242523, 33.392670, 179.147016], [22.079597, 23.097650, 27.766486, 31.062253, 159.268145], [3.523227, 3.724098, 3.779028, 3.975235, 54.091767]]
### 10
mean: [0.867974, 2.260256, 1.221289, 2.873130, -0.624914, 0.489735, -0.328915, -0.382865]
std: [0.743999, 1.384278, 0.911535, 1.603682, 1.310186, 0.707076, 0.982000, 0.737103]
pca: [[0.241044, -0.202116, -0.220298, 0.228916, 0.722537, 0.216124, -0.143756, 0.458996, 0.000000, 0.000000], [0.447498, 0.420657, 0.125401, 0.065763, -0.401030, 0.181577, 0.231793, 0.596004, 0.000000, 0.000000], [0.297754, -0.061949, -0.153326, 0.831551, -0.242563, -0.084660, -0.180164, -0.306685, 0.000000, 0.000000], [0.516821, 0.551190, 0.067160, -0.205502, 0.389243, -0.087438, -0.020573, -0.471980, 0.000000, 0.000000], [-0.423276, 0.409449, -0.080793, 0.201654, 0.058982, 0.755304, 0.026215, -0.177047, 0.000000, 0.000000], [0.221115, -0.424140, 0.322502, 0.071533, 0.096266, 0.280013, 0.718145, -0.242242, 0.000000, 0.000000], [-0.316899, 0.320790, -0.321759, 0.257968, 0.208791, -0.467720, 0.594765, 0.102431, 0.000000, 0.000000], [-0.239588, 0.155237, 0.832862, 0.311827, 0.224563, -0.194559, -0.150197, 0.129468, 0.000000, 0.000000]]
fourier: [[10.797329, 10.931793, 14.005825, 15.704165, 78.117654], [22.874304, 24.041484, 27.155681, 27.715171, 203.423040], [14.088165, 14.217712, 17.487889, 19.058401, 109.915976], [26.631159, 28.129686, 31.526203, 31.912083, 258.581711], [19.053017, 19.069204, 24.449524, 27.596166, 56.242246], [11.068621, 11.340791, 12.664749, 14.750067, 44.076119], [14.252577, 14.310183, 18.239897, 20.644615, 29.602349], [10.968906, 10.973365, 14.069134, 15.621345, 34.457879]]
### 12
mean: [-2.995008]
std: [2.562936]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.802256, 39.960617, 49.168023, 53.346928, 269.550698]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.19203682243824005, "std": 1.3624035120010376, "pca": [-0.2743578255176544, 0.1481751799583435, 0.6216550469398499, -0.15044112503528595, 0.6229766011238098, -0.1853218525648117, -0.25198328495025635, 0.0880042314529419, 0.0, 0.0], "fourier": [20.312068434531007, 20.489343857970038, 20.76579325670341, 20.949641459275647, 22.57742750145968]}, "1": {"mean": 0.2610342800617218, "std": 0.927649974822998, "pca": [-0.05574111267924309, 0.037670210003852844, -0.5014605522155762, -0.22454385459423065, 0.6288142204284668, 0.022033412009477615, 0.5415126085281372, 0.06680236756801605, 0.0, 0.0], "fourier": [15.918763807244108, 16.164861463160744, 16.28263401764737, 18.009022120861815, 23.4930881857872]}, "2": {"mean": 1.1368300914764404, "std": 1.305246114730835, "pca": [-0.3062737286090851, 0.3655740022659302, 0.19876879453659058, 0.08275958150625229, -0.2911940813064575, 0.12819206714630127, 0.4110458493232727, 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-0.4267926812171936, -0.17966625094413757, -0.6230695247650146, 0.30693233013153076, 0.05678698047995567, 0.0, 0.0], "fourier": [22.612111915804352, 24.076399657492196, 24.688087970018387, 25.446792262781955, 29.52302436685706]}, "6": {"mean": 2.911787986755371, "std": 2.0241100788116455, "pca": [0.12466305494308472, 0.7893180847167969, -0.3063589930534363, 0.29488271474838257, 0.0568174384534359, -0.332431823015213, -0.24617119133472443, -0.07927816361188889, 0.0, 0.0], "fourier": [31.100750096056174, 35.6476474246413, 36.27445213291668, 36.570157902072516, 262.06092159450054]}, "7": {"mean": 1.74704110622406, "std": 1.7098026275634766, "pca": [0.48759546875953674, 0.37118175625801086, 0.14526008069515228, -0.3918163776397705, 0.05189808830618858, 0.6624616980552673, -0.08778463304042816, -0.02447819896042347, 0.0, 0.0], "fourier": [26.810512105880353, 27.335760132878786, 27.397685401847784, 31.579505715267235, 157.2336939945817]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": 1.1899025440216064, "std": 0.9366464614868164, "pca": [0.10371935367584229, 0.22609108686447144, 0.738605797290802, 0.5446648001670837, 0.1114761233329773, -0.11363621801137924, -0.01877724938094616, 0.2650173604488373, 0.0, 0.0], "fourier": [15.359494175297046, 16.14958780761893, 17.927793570549557, 18.45105903058819, 107.09123270213604]}, "1": {"mean": 0.08902548998594284, "std": 1.4376031160354614, "pca": [0.30844417214393616, -0.355805903673172, -0.14571410417556763, 0.5760087370872498, 0.08024802058935165, 0.47475695610046387, -0.08650613576173782, -0.4311942458152771, 0.0, 0.0], "fourier": [20.540442803399998, 22.691815454845898, 25.611760303317006, 25.808500393592716, 26.326828138244274]}, "2": {"mean": 1.833202838897705, "std": 1.7471818923950195, "pca": [-0.10530239343643188, 0.6548857688903809, -0.45437026023864746, 0.29303741455078125, 0.2767747640609741, 0.21515870094299316, 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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.087978, -0.540181, -0.039999, 0.238715, 0.495839], [-0.229437, 0.383877, -0.29892, 0.055392, 0.099298], [-0.300089, -0.251981, 0.374532, 0.307247, 0.337951], [0.507155, 0.251759, -0.267271, -0.200922, -0.495132], [0.647938, -0.213045, 0.045307, 0.14453, -0.327888], [0.550506, 0.303785, 0.052241, -0.305483, -0.071249], [-0.05668, 0.469987, 0.444757, 0.553486, 0.185993], [0.506037, 0.451064, 0.178681, -0.035828, 0.121944]], "network.0.bias": [-0.357084, 0.230206, 0.111404, 0.253623, 0.285911, -0.330486, -0.219456, -0.151443], "network.2.weight": [[-0.486411, 0.061361, -0.00137, 0.191015, -0.287999, -0.069813, 0.433138, 0.077708], [-0.091448, -0.682191, -0.258192, 0.278824, 0.127155, 0.253188, -0.1534, 0.361199], [0.598566, 0.2876, 0.700295, 0.079429, -0.342119, -0.351327, 0.286894, 0.068287], [-0.064443, -0.110366, -0.147927, 0.002688, -0.351183, -0.018529, -0.203731, -0.469609], [-0.242453, -0.216223, -0.28803, 0.327893, 0.409602, 0.111064, -0.179721, 0.372059], [-0.12856, -0.29067, 0.073585, -0.304493, -0.025788, -0.009017, -0.442079, -0.162769], [0.362923, -0.136069, -0.146739, 0.181431, 0.60967, 0.443824, 0.453097, 0.63637], [-0.056025, -0.182775, -0.015407, -0.031568, -0.169874, 0.20859, -0.490408, 0.063356]], "network.2.bias": [0.163217, 0.178718, 0.10828, 0.018413, -0.049932, -0.097778, 0.316807, -0.080748], "network.4.weight": [[0.249763, -0.313179, 0.286829, 0.290538, 0.015826, 0.1111, 0.014544, -0.086012], [-0.072347, -0.210377, 0.040894, 0.211564, -0.052304, 0.232054, -0.051457, -0.398634], [0.125227, -0.053042, 0.503112, 0.03632, -0.16935, -0.08111, 0.199116, 0.223711], [-0.028956, 0.09538, -0.101407, 0.216503, -0.04016, 0.394258, -0.429053, -0.223114], [0.069774, 0.214224, -0.192808, 0.038846, -0.25541, -0.203816, -0.477244, -0.40272], [0.175613, 0.065632, 0.147484, 0.07407, 0.130481, -0.204018, -0.546013, -0.043667], [-0.539408, 0.382992, -0.556329, -0.001201, 0.647366, -0.186221, 0.37652, -0.101948], [0.01625, -0.240426, 0.026771, -0.014668, -0.147107, 0.177898, -0.405571, 0.100892]], "network.4.bias": [0.524113, -0.448221, 0.32834, 0.028378, 0.010436, -0.044183, -0.075392, -0.327272], "network.6.weight": [[0.333706, 0.164013, 0.398327, -0.030867, -0.156853, -0.245411, -0.302966, 0.126542], [-0.335906, 0.09022, -0.472747, -0.128233, 0.165133, 0.134044, -0.041083, -0.064285], [0.426938, 0.18822, 0.345032, 0.038685, -0.373394, -0.087674, -0.387198, -0.224398], [-0.102135, -0.335307, -0.433048, -0.06687, 0.220869, -0.378716, 0.025726, -0.090655], [0.134164, -0.170568, -0.249321, -0.121607, 0.181657, 0.082826, -0.28574, -0.276373], [-0.536279, 0.108716, 0.212366, -0.301098, 0.155484, -0.549374, 0.334793, -0.01004], [0.502077, -0.262577, 0.41751, -0.086682, 0.208704, 0.099036, -0.221734, 0.140408], [0.005572, -0.170543, -0.066118, 0.065718, -0.325812, 0.02654, 0.678554, 0.148113]], "network.6.bias": [0.337001, 0.055534, 0.458562, -0.056971, -0.317291, -0.114815, 0.368985, 0.054481], "network.8.weight": [[0.192826, 0.289831, -0.322422, -0.342747, -0.132889, 0.295386, -0.312683, -0.353041], [-0.003932, -0.422566, -0.07296, -0.060455, -0.062658, -0.214695, -0.395528, -0.004398], [-0.25156, 0.091573, 0.151231, 0.340022, 0.336839, -0.329922, -0.351183, 0.103967], [0.075611, 0.30094, 0.100933, 0.297445, 0.323458, 0.346148, -0.304231, 0.634676], [0.269629, -0.235959, 0.082196, -0.089838, -0.305985, 0.024869, -0.428801, 0.093306], [0.50058, 0.272285, 0.292899, 0.206254, -0.235239, -0.276822, 0.469064, -0.328222], [0.382279, -0.103527, 0.521655, -0.062539, 0.263802, -0.183186, 0.165735, -0.41412], [-0.059356, -0.325, -0.235875, -0.212018, 0.348375, 0.056589, 0.035046, -0.045198]], "network.8.bias": [-0.282257, -0.065591, -0.350686, 0.071388, -0.432228, 0.361239, 0.497332, -0.212296], "network.10.weight": [[-0.345596, -0.198856, 0.104834, -0.286965, 0.049912, 0.081571, 0.34046, 0.049957], [-0.307254, -0.011507, -0.237672, -0.035517, -0.045858, 0.60246, 0.563162, -0.16138], [-0.208188, -0.039643, -0.313116, -0.240145, 0.283111, 0.214632, 0.394643, -0.343581], [-0.165578, 0.19175, 0.320547, 0.003455, -0.133017, 0.690313, 0.695959, 0.145969], [-0.334663, 0.095532, -0.320005, 0.547541, 0.089917, -0.273899, -0.409148, 0.205667], [0.236799, -0.140661, -0.317242, -0.427919, 0.042949, 0.166822, 0.060289, 0.039601], [0.091137, -0.041723, -0.322223, 0.424834, 0.093716, -0.286417, -0.200292, -0.0725], [-0.246256, 0.272947, 0.292792, 0.238761, 0.187295, 0.117645, -0.604649, 0.000132]], "network.10.bias": [0.159153, -0.154597, 0.089889, -0.015526, 0.51171, 0.216817, 0.483712, 0.433764], "network.12.weight": [[-0.134982, -0.459616, -0.219454, -0.660956, 0.466483, -0.068835, 0.463208, 0.311453]], "network.12.bias": [0.09023]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.690592348575592, "train_acc": 0.565, "val_loss": 0.6973573565483093, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6820725202560425, "train_acc": 0.565, "val_loss": 0.701005220413208, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6816068291664124, "train_acc": 0.565, "val_loss": 0.6930584907531738, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6496564447879791, "train_acc": 0.565, "val_loss": 0.6666318774223328, "val_acc": 0.48}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6180611550807953, "train_acc": 0.565, "val_loss": 0.6084350347518921, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.642421156167984, "train_acc": 0.505, "val_loss": 0.5379250049591064, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.4871370792388916, "train_acc": 0.915, "val_loss": 0.5271546244621277, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.43422625958919525, "train_acc": 0.915, "val_loss": 0.42555344104766846, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.30855439603328705, "train_acc": 0.93, "val_loss": 0.3325563073158264, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.20102844387292862, "train_acc": 0.935, "val_loss": 0.30078747868537903, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.18770240247249603, "train_acc": 0.94, "val_loss": 0.4462815225124359, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.1402915120124817, "train_acc": 0.95, "val_loss": 0.5632908344268799, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.18769481778144836, "train_acc": 0.955, "val_loss": 0.5073097348213196, "val_acc": 0.88}], "summary": {"total_epochs": 13, "degraded_epochs": 5, "improved_epochs": 8, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6973573565483093, "final_val_loss": 0.6084350347518921, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5379250049591064, "final_val_loss": 0.5073097348213196, "initial_val_acc": 0.82, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 9}, "improvement": 0.4, "first_improvement_epoch": 4}}
|
117
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.4, "improved_accuracy": 0.94, "improvement": 0.5399999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3098, "learning_rate": 0.09600290499421175, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
1.999291,
-0.016803,
0.078467,
0.355501,
-0.231855
],
[
2.157279,
0.947864,
0.692268,
-0.361372,
-0.086649
],
[
-0.051136,
0.117852,
-0.886816,
-0.586222,
-0.152018
],
[
-0.659357,
-0.002822,
-0.677554,
-0.334547,
-0.419606
],
[
1.392303,
0.797726,
-0.106215,
0.191666,
-0.041425
],
[
1.460587,
-1.044414,
0.219809,
0.510269,
0.129767
],
[
1.723572,
0.476748,
0.328631,
0.650562,
0.051897
]
],
"network.0.bias": [
-0.76013,
-1.126959,
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-0.632507,
-1.12293,
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-0.715131
],
"network.2.weight": [
[
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0.127757
],
[
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-0.096217,
-0.304013,
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],
[
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-0.559483,
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-0.608869,
-0.21843,
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],
[
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-0.520699,
-0.585974,
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0.243181
],
[
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-0.424557,
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0.140474,
0.011422,
0.079898
],
[
-0.076562,
1.029457,
0.828809,
0.227734,
0.46752,
0.694476,
0.444755
],
[
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0.705314,
0.749942
]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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[
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0.347627,
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[
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[
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[
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[
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[
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],
"network.4.bias": [
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"network.6.weight": [
[
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[
0.044334,
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[
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[
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[
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[
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[
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]
],
"network.6.bias": [
-0.170574,
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],
"network.8.weight": [
[
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0.468529,
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]
],
"network.8.bias": [
1.470021
]
}
## Activation Signature
### 0
mean: [2.337564, 3.849139, -3.642183, -4.108449, 2.201403, 0.818169, 4.444074]
std: [4.058865, 5.796013, 2.170750, 2.575752, 3.580722, 3.042701, 4.417672]
pca: [[0.420238, 0.024857, 0.401755, -0.152776, 0.447935, -0.484637, -0.450018, 0.000000, 0.000000, 0.000000], [0.597376, 0.364749, -0.166184, 0.661632, 0.077962, 0.113137, 0.160776, 0.000000, 0.000000, 0.000000], [-0.112100, 0.550540, 0.515602, 0.001754, -0.544383, -0.304506, 0.171504, 0.000000, 0.000000, 0.000000], [-0.232336, 0.418257, 0.293489, -0.167577, 0.628449, 0.396467, 0.323619, 0.000000, 0.000000, 0.000000], [0.363026, 0.296241, -0.071040, -0.466919, -0.282986, 0.547726, -0.421080, 0.000000, 0.000000, 0.000000], [0.237433, -0.537641, 0.654701, 0.159078, -0.145424, 0.395516, 0.151812, 0.000000, 0.000000, 0.000000], [0.460253, -0.107191, -0.159107, -0.517203, -0.027304, -0.214428, 0.661164, 0.000000, 0.000000, 0.000000]]
fourier: [[67.035214, 71.614293, 77.665231, 81.025780, 210.380712], [93.562011, 97.918264, 98.117171, 109.859082, 346.422503], [33.047425, 34.264546, 37.536551, 37.565909, 327.796494], [39.361316, 42.497725, 49.133912, 54.980019, 369.760440], [56.704873, 58.095713, 60.407502, 62.096563, 198.126276], [43.227024, 60.969740, 62.778308, 71.673628, 73.635213], [74.459072, 75.489404, 78.849374, 85.060149, 399.966655]]
### 2
mean: [-4.616443, -7.096867, -7.804450, -3.893188, -2.165511, 7.668023, 12.763332]
std: [5.692884, 7.696427, 8.995126, 5.468697, 2.751280, 9.995900, 16.030972]
pca: [[-0.238145, 0.367811, 0.434020, -0.202721, 0.226373, 0.711622, -0.144507, 0.000000, 0.000000, 0.000000], [-0.323221, 0.242364, -0.425632, 0.400559, 0.691680, -0.097139, -0.085569, 0.000000, 0.000000, 0.000000], [-0.377362, 0.499901, -0.396026, 0.030672, -0.635768, 0.024725, -0.212382, 0.000000, 0.000000, 0.000000], [-0.227740, 0.434736, 0.585526, 0.059921, 0.012496, -0.596623, 0.237892, 0.000000, 0.000000, 0.000000], [-0.113270, -0.292629, 0.359719, 0.710118, -0.190891, 0.060039, -0.477315, 0.000000, 0.000000, 0.000000], [0.420410, 0.314062, -0.036300, 0.535218, -0.131969, 0.310378, 0.568414, 0.000000, 0.000000, 0.000000], [0.674517, 0.427564, 0.008444, -0.056579, 0.110100, -0.166279, -0.564954, 0.000000, 0.000000, 0.000000]]
fourier: [[96.772329, 100.811381, 101.541969, 110.025846, 415.479844], [134.739119, 134.868761, 134.972868, 135.732687, 638.718026], [156.087674, 158.090179, 158.393401, 162.590940, 702.400495], [93.042333, 96.819277, 98.097654, 107.035566, 350.386966], [47.340015, 47.738693, 49.779304, 53.099240, 194.895952], [175.956515, 176.543713, 179.638836, 182.590283, 690.122078], [282.257077, 282.318156, 289.110667, 290.397762, 1148.699998]]
### 4
mean: [-10.746546, -5.421978, 13.680515, -12.699589, -8.379326, -0.820872, -4.680603]
std: [13.047825, 6.226138, 18.377176, 15.918776, 9.784408, 0.960363, 5.634144]
pca: [[-0.428192, -0.365391, -0.242625, -0.117868, -0.264336, -0.424288, 0.600406, 0.000000, 0.000000, 0.000000], [-0.204309, 0.811849, 0.111205, 0.028125, -0.245808, -0.472946, -0.043613, 0.000000, 0.000000, 0.000000], [0.603088, 0.229700, 0.203265, -0.119966, -0.110816, 0.167642, 0.698162, 0.000000, 0.000000, 0.000000], [-0.522410, -0.026800, 0.772582, -0.006933, 0.070228, 0.308652, 0.170998, 0.000000, 0.000000, 0.000000], [-0.321096, 0.304133, -0.462035, -0.319647, -0.241728, 0.653076, 0.061716, 0.000000, 0.000000, 0.000000], [-0.031516, -0.010115, -0.087079, 0.891040, -0.376165, 0.215269, 0.097616, 0.000000, 0.000000, 0.000000], [-0.184895, 0.247610, -0.263644, 0.273405, 0.807812, 0.009082, 0.328028, 0.000000, 0.000000, 0.000000]]
fourier: [[226.796781, 227.135084, 236.915434, 237.708270, 967.189100], [108.895959, 108.963067, 112.614301, 113.118025, 487.978026], [319.612428, 320.094492, 333.609273, 334.664569, 1231.246390], [277.049825, 277.404373, 288.809318, 289.961991, 1142.963124], [170.442185, 170.636021, 177.416851, 178.051368, 754.139284], [16.708285, 16.778438, 17.454515, 17.487032, 73.878519], [98.176182, 98.295778, 102.158266, 102.467883, 421.254284]]
### 6
mean: [-6.493272, -1.252650, 7.152578, 6.339681, -7.792638, -2.836956, -2.130289]
std: [8.349174, 1.546917, 10.396917, 9.289654, 9.664792, 3.250324, 2.236050]
pca: [[-0.430881, 0.763873, 0.009569, -0.089575, -0.070751, -0.040931, 0.464804, 0.000000, 0.000000, 0.000000], [-0.079833, -0.075119, -0.153070, -0.080107, 0.958655, 0.060220, 0.188387, 0.000000, 0.000000, 0.000000], [0.536560, 0.211751, 0.655583, 0.006802, 0.101540, 0.436570, 0.191116, 0.000000, 0.000000, 0.000000], [0.479417, -0.199449, -0.289485, -0.070035, -0.146846, -0.334588, 0.712854, 0.000000, 0.000000, 0.000000], [-0.498777, -0.516762, 0.582289, -0.067372, -0.052475, -0.146770, 0.341004, 0.000000, 0.000000, 0.000000], [-0.167741, -0.151679, -0.230687, 0.740256, -0.086904, 0.515174, 0.273322, 0.000000, 0.000000, 0.000000], [-0.115397, -0.190228, -0.265725, -0.654286, -0.183831, 0.636561, 0.113105, 0.000000, 0.000000, 0.000000]]
fourier: [[143.406050, 143.472999, 150.448786, 153.632525, 584.394432], [26.569959, 26.582364, 27.874822, 28.464699, 112.738549], [178.578245, 178.661614, 187.348309, 191.312888, 643.732070], [159.559827, 159.634315, 167.395882, 170.938249, 570.571320], [166.003209, 166.080711, 174.155700, 177.841115, 701.337477], [55.827810, 55.853875, 58.569541, 59.808967, 255.326001], [38.406563, 38.424493, 40.292726, 41.145385, 191.725999]]
### 8
mean: [-7.239212]
std: [12.194862]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[206.490940, 212.595435, 216.421751, 224.847843, 651.529060]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
1.999291,
-0.016803,
0.078467,
0.355501,
-0.231855
],
[
2.157279,
0.947864,
0.692268,
-0.361372,
-0.086649
],
[
-0.051136,
0.117852,
-0.886816,
-0.586222,
-0.152018
],
[
-0.659357,
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-0.677554,
-0.334547,
-0.419606
],
[
1.392303,
0.797726,
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0.191666,
-0.041425
],
[
1.460587,
-1.044414,
0.219809,
0.510269,
0.129767
],
[
1.723572,
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0.328631,
0.650562,
0.051897
]
],
"network.0.bias": [
-0.76013,
-1.126959,
-0.49623,
-0.632507,
-1.12293,
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-0.715131
],
"network.2.weight": [
[
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[
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[
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[
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],
[
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0.011422,
0.079898
],
[
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1.029457,
0.828809,
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0.46752,
0.694476,
0.444755
],
[
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0.021589,
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0.563938,
0.705314,
0.749942
]
],
"network.2.bias": [
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"network.4.weight": [
[
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[
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[
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0.066387,
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"network.4.bias": [
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"network.6.weight": [
[
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[
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],
[
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"network.6.bias": [
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],
"network.8.weight": [
[
-0.006003,
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]
],
"network.8.bias": [
1.470021
]
}
## Activation Signature
### 0
mean: [2.337564, 3.849139, -3.642183, -4.108449, 2.201403, 0.818169, 4.444074]
std: [4.058865, 5.796013, 2.170750, 2.575752, 3.580722, 3.042701, 4.417672]
pca: [[0.420238, 0.024857, 0.401755, -0.152776, 0.447935, -0.484637, -0.450018, 0.000000, 0.000000, 0.000000], [0.597376, 0.364749, -0.166184, 0.661632, 0.077962, 0.113137, 0.160776, 0.000000, 0.000000, 0.000000], [-0.112100, 0.550540, 0.515602, 0.001754, -0.544383, -0.304506, 0.171504, 0.000000, 0.000000, 0.000000], [-0.232336, 0.418257, 0.293489, -0.167577, 0.628449, 0.396467, 0.323619, 0.000000, 0.000000, 0.000000], [0.363026, 0.296241, -0.071040, -0.466919, -0.282986, 0.547726, -0.421080, 0.000000, 0.000000, 0.000000], [0.237433, -0.537641, 0.654701, 0.159078, -0.145424, 0.395516, 0.151812, 0.000000, 0.000000, 0.000000], [0.460253, -0.107191, -0.159107, -0.517203, -0.027304, -0.214428, 0.661164, 0.000000, 0.000000, 0.000000]]
fourier: [[67.035214, 71.614293, 77.665231, 81.025780, 210.380712], [93.562011, 97.918264, 98.117171, 109.859082, 346.422503], [33.047425, 34.264546, 37.536551, 37.565909, 327.796494], [39.361316, 42.497725, 49.133912, 54.980019, 369.760440], [56.704873, 58.095713, 60.407502, 62.096563, 198.126276], [43.227024, 60.969740, 62.778308, 71.673628, 73.635213], [74.459072, 75.489404, 78.849374, 85.060149, 399.966655]]
### 2
mean: [-4.616443, -7.096867, -7.804450, -3.893188, -2.165511, 7.668023, 12.763332]
std: [5.692884, 7.696427, 8.995126, 5.468697, 2.751280, 9.995900, 16.030972]
pca: [[-0.238145, 0.367811, 0.434020, -0.202721, 0.226373, 0.711622, -0.144507, 0.000000, 0.000000, 0.000000], [-0.323221, 0.242364, -0.425632, 0.400559, 0.691680, -0.097139, -0.085569, 0.000000, 0.000000, 0.000000], [-0.377362, 0.499901, -0.396026, 0.030672, -0.635768, 0.024725, -0.212382, 0.000000, 0.000000, 0.000000], [-0.227740, 0.434736, 0.585526, 0.059921, 0.012496, -0.596623, 0.237892, 0.000000, 0.000000, 0.000000], [-0.113270, -0.292629, 0.359719, 0.710118, -0.190891, 0.060039, -0.477315, 0.000000, 0.000000, 0.000000], [0.420410, 0.314062, -0.036300, 0.535218, -0.131969, 0.310378, 0.568414, 0.000000, 0.000000, 0.000000], [0.674517, 0.427564, 0.008444, -0.056579, 0.110100, -0.166279, -0.564954, 0.000000, 0.000000, 0.000000]]
fourier: [[96.772329, 100.811381, 101.541969, 110.025846, 415.479844], [134.739119, 134.868761, 134.972868, 135.732687, 638.718026], [156.087674, 158.090179, 158.393401, 162.590940, 702.400495], [93.042333, 96.819277, 98.097654, 107.035566, 350.386966], [47.340015, 47.738693, 49.779304, 53.099240, 194.895952], [175.956515, 176.543713, 179.638836, 182.590283, 690.122078], [282.257077, 282.318156, 289.110667, 290.397762, 1148.699998]]
### 4
mean: [-10.746546, -5.421978, 13.680515, -12.699589, -8.379326, -0.820872, -4.680603]
std: [13.047825, 6.226138, 18.377176, 15.918776, 9.784408, 0.960363, 5.634144]
pca: [[-0.428192, -0.365391, -0.242625, -0.117868, -0.264336, -0.424288, 0.600406, 0.000000, 0.000000, 0.000000], [-0.204309, 0.811849, 0.111205, 0.028125, -0.245808, -0.472946, -0.043613, 0.000000, 0.000000, 0.000000], [0.603088, 0.229700, 0.203265, -0.119966, -0.110816, 0.167642, 0.698162, 0.000000, 0.000000, 0.000000], [-0.522410, -0.026800, 0.772582, -0.006933, 0.070228, 0.308652, 0.170998, 0.000000, 0.000000, 0.000000], [-0.321096, 0.304133, -0.462035, -0.319647, -0.241728, 0.653076, 0.061716, 0.000000, 0.000000, 0.000000], [-0.031516, -0.010115, -0.087079, 0.891040, -0.376165, 0.215269, 0.097616, 0.000000, 0.000000, 0.000000], [-0.184895, 0.247610, -0.263644, 0.273405, 0.807812, 0.009082, 0.328028, 0.000000, 0.000000, 0.000000]]
fourier: [[226.796781, 227.135084, 236.915434, 237.708270, 967.189100], [108.895959, 108.963067, 112.614301, 113.118025, 487.978026], [319.612428, 320.094492, 333.609273, 334.664569, 1231.246390], [277.049825, 277.404373, 288.809318, 289.961991, 1142.963124], [170.442185, 170.636021, 177.416851, 178.051368, 754.139284], [16.708285, 16.778438, 17.454515, 17.487032, 73.878519], [98.176182, 98.295778, 102.158266, 102.467883, 421.254284]]
### 6
mean: [-6.493272, -1.252650, 7.152578, 6.339681, -7.792638, -2.836956, -2.130289]
std: [8.349174, 1.546917, 10.396917, 9.289654, 9.664792, 3.250324, 2.236050]
pca: [[-0.430881, 0.763873, 0.009569, -0.089575, -0.070751, -0.040931, 0.464804, 0.000000, 0.000000, 0.000000], [-0.079833, -0.075119, -0.153070, -0.080107, 0.958655, 0.060220, 0.188387, 0.000000, 0.000000, 0.000000], [0.536560, 0.211751, 0.655583, 0.006802, 0.101540, 0.436570, 0.191116, 0.000000, 0.000000, 0.000000], [0.479417, -0.199449, -0.289485, -0.070035, -0.146846, -0.334588, 0.712854, 0.000000, 0.000000, 0.000000], [-0.498777, -0.516762, 0.582289, -0.067372, -0.052475, -0.146770, 0.341004, 0.000000, 0.000000, 0.000000], [-0.167741, -0.151679, -0.230687, 0.740256, -0.086904, 0.515174, 0.273322, 0.000000, 0.000000, 0.000000], [-0.115397, -0.190228, -0.265725, -0.654286, -0.183831, 0.636561, 0.113105, 0.000000, 0.000000, 0.000000]]
fourier: [[143.406050, 143.472999, 150.448786, 153.632525, 584.394432], [26.569959, 26.582364, 27.874822, 28.464699, 112.738549], [178.578245, 178.661614, 187.348309, 191.312888, 643.732070], [159.559827, 159.634315, 167.395882, 170.938249, 570.571320], [166.003209, 166.080711, 174.155700, 177.841115, 701.337477], [55.827810, 55.853875, 58.569541, 59.808967, 255.326001], [38.406563, 38.424493, 40.292726, 41.145385, 191.725999]]
### 8
mean: [-7.239212]
std: [12.194862]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[206.490940, 212.595435, 216.421751, 224.847843, 651.529060]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
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118
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{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.6, "improved_accuracy": 0.76, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4428, "learning_rate": 0.06231881745579992, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "vowel_consonant", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["vowel_consonant"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
mean: [0.595210, -0.497266, -2.610266, -0.053016, 0.302082, 1.067286]
std: [1.294112, 1.659907, 2.953958, 1.131449, 1.411962, 1.415517]
pca: [[-0.227192, -0.296487, 0.359896, 0.697507, 0.162601, 0.466903, 0.000000, 0.000000, 0.000000, 0.000000], [0.360303, -0.009343, 0.700390, -0.383896, -0.354409, 0.326444, 0.000000, 0.000000, 0.000000, 0.000000], [0.831624, 0.295262, -0.159031, 0.431357, 0.091561, 0.038450, 0.000000, 0.000000, 0.000000, 0.000000], [-0.138732, 0.527954, -0.083900, -0.288020, 0.525249, 0.579774, 0.000000, 0.000000, 0.000000, 0.000000], [0.278498, -0.522778, 0.172178, -0.249500, 0.717421, -0.206287, 0.000000, 0.000000, 0.000000, 0.000000], [0.173663, -0.522299, -0.563873, -0.186637, -0.221345, 0.543383, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.530468, 20.503669, 22.931262, 23.811809, 53.568945], [27.572185, 30.295998, 35.584162, 35.796164, 44.753984], [51.185550, 51.551462, 53.010761, 60.912123, 234.923938], [16.619746, 17.975584, 18.458236, 18.604271, 21.388264], [18.614462, 19.448340, 26.235245, 27.187390, 31.131244], [19.818607, 21.078891, 22.508271, 24.378840, 96.055775]]
### 2
mean: [0.864375, -1.828654, 0.140141, 0.281691, 0.018957, -0.382700]
std: [1.179738, 0.886262, 0.691952, 0.756145, 0.654971, 0.543120]
pca: [[0.624372, 0.616521, 0.140024, -0.006920, 0.412491, -0.200643, 0.000000, 0.000000, 0.000000, 0.000000], [-0.413585, 0.582652, -0.381245, 0.518337, 0.026283, 0.273409, 0.000000, 0.000000, 0.000000, 0.000000], [-0.345294, 0.208859, 0.578262, -0.380666, 0.267963, 0.534839, 0.000000, 0.000000, 0.000000, 0.000000], [0.384158, -0.428520, -0.124309, 0.358005, 0.400859, 0.603726, 0.000000, 0.000000, 0.000000, 0.000000], [0.331212, 0.212509, -0.415388, -0.498070, -0.463652, 0.457760, 0.000000, 0.000000, 0.000000, 0.000000], [-0.250201, -0.089482, -0.559159, -0.458400, 0.617815, -0.157826, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.646745, 21.016481, 21.480023, 22.849109, 77.793757], [13.260672, 13.828953, 14.107200, 15.940399, 164.578894], [10.607039, 10.872743, 11.637532, 12.488760, 12.612680], [10.741245, 11.024756, 11.102394, 12.713295, 25.352149], [9.239297, 9.553420, 10.070773, 10.778205, 11.237900], [8.348333, 9.900140, 10.709998, 11.180412, 34.442996]]
### 4
mean: [0.290581, 0.216471, 0.102888, 0.420405, -0.295045, 0.007236]
std: [0.885403, 0.804767, 0.783194, 1.072527, 0.255265, 0.351329]
pca: [[-0.472854, 0.569546, 0.285514, 0.437296, -0.039744, 0.421546, 0.000000, 0.000000, 0.000000, 0.000000], [-0.443525, 0.361714, -0.538979, -0.352699, 0.461184, -0.211807, 0.000000, 0.000000, 0.000000, 0.000000], [0.442556, 0.180190, 0.096177, -0.424333, 0.376917, 0.663552, 0.000000, 0.000000, 0.000000, 0.000000], [0.587945, 0.541728, -0.009307, 0.365901, 0.214079, -0.425502, 0.000000, 0.000000, 0.000000, 0.000000], [-0.032290, -0.459758, -0.187187, 0.569445, 0.629091, 0.180327, 0.000000, 0.000000, 0.000000, 0.000000], [-0.192659, -0.086402, 0.763942, -0.214862, 0.449531, -0.351520, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.069030, 13.071366, 13.379369, 13.777945, 26.152269], [11.978364, 12.591767, 12.671412, 13.254895, 19.482434], [12.057196, 12.147666, 13.018495, 14.122533, 15.571699], [16.725794, 17.864051, 20.085033, 22.104603, 37.836483], [4.002910, 4.399616, 4.472987, 4.535227, 26.554087], [4.763567, 5.303280, 5.578660, 6.917169, 7.021501]]
### 6
mean: [-0.671168, 0.117442, 0.738783, 0.353821, -0.313261, 0.289671]
std: [0.259951, 0.293229, 1.015738, 1.334044, 0.643114, 1.086287]
pca: [[-0.009180, 0.536581, 0.428883, -0.047323, -0.617686, 0.379843, 0.000000, 0.000000, 0.000000, 0.000000], [0.099424, -0.430906, -0.223595, -0.516360, -0.063790, 0.695516, 0.000000, 0.000000, 0.000000, 0.000000], [-0.476948, -0.454897, 0.164077, 0.651529, -0.133071, 0.310596, 0.000000, 0.000000, 0.000000, 0.000000], [0.631323, -0.489911, 0.522896, 0.046661, -0.204480, -0.209783, 0.000000, 0.000000, 0.000000, 0.000000], [0.303490, 0.254912, 0.305114, 0.245972, 0.692023, 0.458717, 0.000000, 0.000000, 0.000000, 0.000000], [-0.521418, -0.120316, 0.610433, -0.493926, 0.275643, -0.145178, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.023328, 4.589513, 4.998382, 5.147198, 60.405135], [4.469558, 5.507896, 6.153640, 6.748568, 10.569749], [15.792049, 16.796018, 18.412290, 19.088556, 66.490453], [21.576461, 22.312225, 25.876675, 27.603983, 31.843856], [9.941195, 10.428507, 11.787412, 12.200020, 28.193469], [17.006382, 18.130740, 19.456285, 21.183469, 26.070349]]
### 8
mean: [0.646519, -0.165261, 0.083566, 0.609486, 1.026756, 0.995433]
std: [0.568432, 1.029281, 0.536518, 0.815897, 0.555683, 0.897264]
pca: [[-0.309976, 0.254377, 0.668544, -0.517842, -0.207127, 0.284946, 0.000000, 0.000000, 0.000000, 0.000000], [0.549370, 0.608061, 0.024078, -0.073505, 0.515065, 0.239123, 0.000000, 0.000000, 0.000000, 0.000000], [-0.300283, -0.060655, 0.531957, 0.425272, 0.579345, -0.326612, 0.000000, 0.000000, 0.000000, 0.000000], [-0.451386, -0.255961, -0.368682, -0.312488, 0.553443, 0.436875, 0.000000, 0.000000, 0.000000, 0.000000], [-0.297916, 0.313524, -0.062639, 0.656074, -0.222197, 0.573778, 0.000000, 0.000000, 0.000000, 0.000000], [-0.468437, 0.630921, -0.360056, -0.132286, -0.022251, -0.484634, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.854975, 9.038170, 10.151935, 10.674814, 58.186738], [15.568581, 17.139251, 17.743743, 19.096576, 20.937972], [8.200886, 8.239156, 8.404973, 9.967687, 10.118897], [13.138876, 13.439858, 14.827022, 15.933352, 54.853734], [8.449072, 8.600778, 10.048859, 10.384713, 92.408044], [13.706234, 14.331286, 16.496063, 16.642453, 89.588959]]
### 10
mean: [-1.080517]
std: [1.237067]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.898376, 20.703018, 21.453483, 23.738655, 97.246494]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
vowel_consonant
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [0.595210, -0.497266, -2.610266, -0.053016, 0.302082, 1.067286]
std: [1.294112, 1.659907, 2.953958, 1.131449, 1.411962, 1.415517]
pca: [[-0.227192, -0.296487, 0.359896, 0.697507, 0.162601, 0.466903, 0.000000, 0.000000, 0.000000, 0.000000], [0.360303, -0.009343, 0.700390, -0.383896, -0.354409, 0.326444, 0.000000, 0.000000, 0.000000, 0.000000], [0.831624, 0.295262, -0.159031, 0.431357, 0.091561, 0.038450, 0.000000, 0.000000, 0.000000, 0.000000], [-0.138732, 0.527954, -0.083900, -0.288020, 0.525249, 0.579774, 0.000000, 0.000000, 0.000000, 0.000000], [0.278498, -0.522778, 0.172178, -0.249500, 0.717421, -0.206287, 0.000000, 0.000000, 0.000000, 0.000000], [0.173663, -0.522299, -0.563873, -0.186637, -0.221345, 0.543383, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.530468, 20.503669, 22.931262, 23.811809, 53.568945], [27.572185, 30.295998, 35.584162, 35.796164, 44.753984], [51.185550, 51.551462, 53.010761, 60.912123, 234.923938], [16.619746, 17.975584, 18.458236, 18.604271, 21.388264], [18.614462, 19.448340, 26.235245, 27.187390, 31.131244], [19.818607, 21.078891, 22.508271, 24.378840, 96.055775]]
### 2
mean: [0.864375, -1.828654, 0.140141, 0.281691, 0.018957, -0.382700]
std: [1.179738, 0.886262, 0.691952, 0.756145, 0.654971, 0.543120]
pca: [[0.624372, 0.616521, 0.140024, -0.006920, 0.412491, -0.200643, 0.000000, 0.000000, 0.000000, 0.000000], [-0.413585, 0.582652, -0.381245, 0.518337, 0.026283, 0.273409, 0.000000, 0.000000, 0.000000, 0.000000], [-0.345294, 0.208859, 0.578262, -0.380666, 0.267963, 0.534839, 0.000000, 0.000000, 0.000000, 0.000000], [0.384158, -0.428520, -0.124309, 0.358005, 0.400859, 0.603726, 0.000000, 0.000000, 0.000000, 0.000000], [0.331212, 0.212509, -0.415388, -0.498070, -0.463652, 0.457760, 0.000000, 0.000000, 0.000000, 0.000000], [-0.250201, -0.089482, -0.559159, -0.458400, 0.617815, -0.157826, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.646745, 21.016481, 21.480023, 22.849109, 77.793757], [13.260672, 13.828953, 14.107200, 15.940399, 164.578894], [10.607039, 10.872743, 11.637532, 12.488760, 12.612680], [10.741245, 11.024756, 11.102394, 12.713295, 25.352149], [9.239297, 9.553420, 10.070773, 10.778205, 11.237900], [8.348333, 9.900140, 10.709998, 11.180412, 34.442996]]
### 4
mean: [0.290581, 0.216471, 0.102888, 0.420405, -0.295045, 0.007236]
std: [0.885403, 0.804767, 0.783194, 1.072527, 0.255265, 0.351329]
pca: [[-0.472854, 0.569546, 0.285514, 0.437296, -0.039744, 0.421546, 0.000000, 0.000000, 0.000000, 0.000000], [-0.443525, 0.361714, -0.538979, -0.352699, 0.461184, -0.211807, 0.000000, 0.000000, 0.000000, 0.000000], [0.442556, 0.180190, 0.096177, -0.424333, 0.376917, 0.663552, 0.000000, 0.000000, 0.000000, 0.000000], [0.587945, 0.541728, -0.009307, 0.365901, 0.214079, -0.425502, 0.000000, 0.000000, 0.000000, 0.000000], [-0.032290, -0.459758, -0.187187, 0.569445, 0.629091, 0.180327, 0.000000, 0.000000, 0.000000, 0.000000], [-0.192659, -0.086402, 0.763942, -0.214862, 0.449531, -0.351520, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.069030, 13.071366, 13.379369, 13.777945, 26.152269], [11.978364, 12.591767, 12.671412, 13.254895, 19.482434], [12.057196, 12.147666, 13.018495, 14.122533, 15.571699], [16.725794, 17.864051, 20.085033, 22.104603, 37.836483], [4.002910, 4.399616, 4.472987, 4.535227, 26.554087], [4.763567, 5.303280, 5.578660, 6.917169, 7.021501]]
### 6
mean: [-0.671168, 0.117442, 0.738783, 0.353821, -0.313261, 0.289671]
std: [0.259951, 0.293229, 1.015738, 1.334044, 0.643114, 1.086287]
pca: [[-0.009180, 0.536581, 0.428883, -0.047323, -0.617686, 0.379843, 0.000000, 0.000000, 0.000000, 0.000000], [0.099424, -0.430906, -0.223595, -0.516360, -0.063790, 0.695516, 0.000000, 0.000000, 0.000000, 0.000000], [-0.476948, -0.454897, 0.164077, 0.651529, -0.133071, 0.310596, 0.000000, 0.000000, 0.000000, 0.000000], [0.631323, -0.489911, 0.522896, 0.046661, -0.204480, -0.209783, 0.000000, 0.000000, 0.000000, 0.000000], [0.303490, 0.254912, 0.305114, 0.245972, 0.692023, 0.458717, 0.000000, 0.000000, 0.000000, 0.000000], [-0.521418, -0.120316, 0.610433, -0.493926, 0.275643, -0.145178, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.023328, 4.589513, 4.998382, 5.147198, 60.405135], [4.469558, 5.507896, 6.153640, 6.748568, 10.569749], [15.792049, 16.796018, 18.412290, 19.088556, 66.490453], [21.576461, 22.312225, 25.876675, 27.603983, 31.843856], [9.941195, 10.428507, 11.787412, 12.200020, 28.193469], [17.006382, 18.130740, 19.456285, 21.183469, 26.070349]]
### 8
mean: [0.646519, -0.165261, 0.083566, 0.609486, 1.026756, 0.995433]
std: [0.568432, 1.029281, 0.536518, 0.815897, 0.555683, 0.897264]
pca: [[-0.309976, 0.254377, 0.668544, -0.517842, -0.207127, 0.284946, 0.000000, 0.000000, 0.000000, 0.000000], [0.549370, 0.608061, 0.024078, -0.073505, 0.515065, 0.239123, 0.000000, 0.000000, 0.000000, 0.000000], [-0.300283, -0.060655, 0.531957, 0.425272, 0.579345, -0.326612, 0.000000, 0.000000, 0.000000, 0.000000], [-0.451386, -0.255961, -0.368682, -0.312488, 0.553443, 0.436875, 0.000000, 0.000000, 0.000000, 0.000000], [-0.297916, 0.313524, -0.062639, 0.656074, -0.222197, 0.573778, 0.000000, 0.000000, 0.000000, 0.000000], [-0.468437, 0.630921, -0.360056, -0.132286, -0.022251, -0.484634, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.854975, 9.038170, 10.151935, 10.674814, 58.186738], [15.568581, 17.139251, 17.743743, 19.096576, 20.937972], [8.200886, 8.239156, 8.404973, 9.967687, 10.118897], [13.138876, 13.439858, 14.827022, 15.933352, 54.853734], [8.449072, 8.600778, 10.048859, 10.384713, 92.408044], [13.706234, 14.331286, 16.496063, 16.642453, 89.588959]]
### 10
mean: [-1.080517]
std: [1.237067]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.898376, 20.703018, 21.453483, 23.738655, 97.246494]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
vowel_consonant
|
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"model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.245649, 0.126726, 0.263297, -0.137044, -0.568335], [-0.888593, 0.517765, 0.01573, -0.340102, 0.218776], [-0.9419, 0.155112, -1.001045, -0.009142, 0.275142], [0.24541, -0.28098, -0.024714, -0.227834, 0.387596], [-0.523968, 0.581133, -0.068797, 0.160725, -0.050323], [-0.071355, 0.089496, -0.164602, 0.626832, -0.095217]], "network.0.bias": [0.503422, 0.091704, 0.050561, 0.215761, -0.243713, 0.110066], "network.2.weight": [[0.16822, 0.638983, 0.475665, -0.732389, 0.539294, 0.128981], [-0.426116, 0.04437, -0.651522, -0.033156, 0.070853, -0.698244], [0.268249, -0.307995, -0.181938, 0.448719, 0.10058, -0.384973], [-0.083856, 0.073246, 0.20088, -0.128916, 0.046196, 0.511246], [0.105085, 0.516436, 0.330085, -0.697088, -0.138615, 0.23882], [-0.110925, -0.204881, -0.177893, -0.198654, -0.365256, -0.135453]], "network.2.bias": [0.252514, -0.71072, 0.301561, -0.259989, -0.247314, 0.19484], "network.4.weight": [[-0.129036, -0.701498, 0.622242, -0.73288, -0.487047, 0.208574], [-0.095706, -0.772298, 0.347237, -0.592665, -1.020218, -0.124213], [0.467898, 0.144515, -0.199471, 0.19035, 0.535642, -0.641044], [0.788644, 0.089485, -0.187512, -0.005915, 0.70406, -0.630412], [-0.273399, -0.171518, -0.226292, 0.327768, 0.022923, 0.420715], [-0.309102, -0.300038, 0.270901, 0.0124, 0.202964, 0.091839]], "network.4.bias": [0.521941, 0.476374, -0.413081, -0.331743, -0.108883, 0.16024], "network.6.weight": [[-0.473121, 0.031401, -0.319421, -0.086363, -0.032598, -0.40905], [0.192185, 0.016317, 0.147418, 0.289598, 0.124288, 0.394756], [0.836919, 0.468236, -0.006638, -0.511868, -0.352102, 0.092902], [-0.410161, -0.039823, 0.655625, 0.766252, -0.079216, -0.395405], [-0.589148, -0.10541, 0.165467, 0.216702, -0.045335, -0.404577], [0.486051, 0.703413, -0.571838, -0.357375, 0.176567, -0.13185]], "network.6.bias": [-0.353638, -0.151072, 0.456755, 0.021851, -0.164565, 0.188454], "network.8.weight": [[-0.344833, -0.095729, 0.405817, 0.048933, -0.405887, 0.31576], [0.016882, 0.255282, -0.348644, 0.568781, 0.13894, -0.162237], [0.394279, -0.093152, 0.130154, -0.107214, -0.444193, 0.386414], [-0.104992, 0.136429, 0.354953, -0.387227, -0.269334, 0.195769], [-0.476965, 0.185822, 0.323579, -0.062775, -0.075208, 0.403158], [0.087712, 0.046384, 0.855139, 0.132297, -0.47197, 0.35477]], "network.8.bias": [0.107474, -0.134303, -0.077436, 0.412904, 0.516196, 0.094319], "network.10.weight": [[-0.105742, 0.429799, -0.237207, -0.379868, -0.569001, -0.405923]], "network.10.bias": [0.044498]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6960848271846771, "train_acc": 0.43, "val_loss": 0.7197183966636658, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6777796149253845, "train_acc": 0.59, "val_loss": 0.7554992437362671, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6569018661975861, "train_acc": 0.59, "val_loss": 0.6756065487861633, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6297738552093506, "train_acc": 0.705, "val_loss": 0.5868680477142334, "val_acc": 0.62}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5241289436817169, "train_acc": 0.74, "val_loss": 0.6245173811912537, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.508533775806427, "train_acc": 0.745, "val_loss": 0.5850382447242737, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4668608605861664, "train_acc": 0.76, "val_loss": 0.613620936870575, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.44067738950252533, "train_acc": 0.78, "val_loss": 0.6305307149887085, "val_acc": 0.74}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.44151268899440765, "train_acc": 0.765, "val_loss": 0.6160110235214233, "val_acc": 0.68}], "summary": {"total_epochs": 9, "degraded_epochs": 3, "improved_epochs": 6, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.7197183966636658, "final_val_loss": 0.6756065487861633, "initial_val_acc": 0.42, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.5868680477142334, "final_val_loss": 0.6160110235214233, "initial_val_acc": 0.62, "final_val_acc": 0.68, "best_val_acc": 0.76, "best_epoch": 5}, "improvement": 0.16000000000000003, "first_improvement_epoch": 2}}
|
119
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.52, "improved_accuracy": 0.96, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8945, "learning_rate": 0.027708096281166404, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
mean: [1.497030, 0.676419, 2.232087, 0.555520, -0.231845, 1.400845, -0.505837, 1.173009]
std: [1.453122, 1.075000, 1.645271, 1.079755, 0.917412, 1.235457, 1.220392, 1.331077]
pca: [[0.374268, 0.568084, 0.025167, -0.192127, 0.332543, 0.420895, -0.457047, 0.055026, 0.000000, 0.000000], [0.293107, -0.353117, -0.267515, -0.149631, 0.304259, 0.533036, 0.542867, -0.155040, 0.000000, 0.000000], [0.630667, 0.063996, 0.340139, 0.069925, -0.316216, -0.202039, 0.100375, -0.571570, 0.000000, 0.000000], [-0.195375, 0.115523, 0.709682, 0.013438, -0.267457, 0.474685, 0.289958, 0.252428, 0.000000, 0.000000], [-0.098059, 0.053578, 0.132924, 0.851576, 0.449456, 0.074446, 0.008045, -0.192476, 0.000000, 0.000000], [0.151795, -0.461972, 0.522484, -0.253241, 0.536744, -0.285532, -0.166574, 0.170442, 0.000000, 0.000000], [-0.209573, 0.550685, 0.065802, -0.266286, 0.363716, -0.362513, 0.542256, -0.140856, 0.000000, 0.000000], [0.511392, 0.124919, -0.116066, 0.274605, -0.054059, -0.232569, 0.283548, 0.704688, 0.000000, 0.000000]]
fourier: [[22.754067, 27.199476, 28.797094, 33.874771, 134.732678], [16.466740, 17.798051, 18.306062, 18.324486, 60.877717], [24.469357, 30.568649, 31.732866, 33.128334, 200.887841], [16.916402, 17.938640, 19.187642, 19.520802, 49.996761], [13.928227, 15.874301, 16.659804, 19.964723, 20.866058], [18.148595, 18.680605, 19.424874, 22.096824, 126.076043], [18.241555, 18.841054, 23.435077, 23.656854, 45.525324], [19.693140, 23.019096, 26.523006, 27.304651, 105.570794]]
### 2
mean: [-0.509883, -0.505799, -0.966514, -1.762972, 1.397935, 0.857076, -0.792823, 1.984602]
std: [0.468770, 0.555736, 0.742557, 1.033876, 1.700401, 0.908228, 0.310861, 2.119028]
pca: [[-0.128521, -0.096819, -0.048749, 0.822360, -0.424516, 0.197078, -0.269757, -0.060281, 0.000000, 0.000000], [-0.135559, -0.085458, -0.559748, 0.119275, 0.175384, -0.307691, -0.100547, 0.715006, 0.000000, 0.000000], [-0.193032, 0.049960, 0.692833, 0.222846, 0.496527, 0.119888, -0.151228, 0.383122, 0.000000, 0.000000], [-0.157129, 0.953292, -0.118728, 0.105658, 0.054151, -0.137520, -0.084658, -0.110792, 0.000000, 0.000000], [0.564047, 0.152577, 0.138482, 0.326878, -0.099542, -0.108541, 0.669264, 0.250880, 0.000000, 0.000000], [0.289311, 0.055200, 0.355926, -0.200229, -0.491156, -0.490461, -0.466326, 0.217327, 0.000000, 0.000000], [-0.059462, 0.203903, -0.005833, -0.314775, -0.406457, 0.689401, 0.036537, 0.462552, 0.000000, 0.000000], [0.705528, 0.064490, -0.210468, 0.051471, 0.351006, 0.324953, -0.469442, -0.044159, 0.000000, 0.000000]]
fourier: [[7.605084, 7.789581, 8.649369, 10.909741, 45.889458], [9.370373, 9.802440, 10.694968, 11.909587, 45.521958], [10.767349, 12.176940, 12.681887, 12.804232, 86.986233], [16.516946, 16.564346, 16.722254, 16.751975, 158.667539], [26.832898, 28.756979, 31.983322, 37.556855, 125.814160], [14.870164, 14.973919, 18.144616, 21.081248, 77.136805], [4.828157, 4.893465, 5.487828, 6.636771, 71.354085], [31.085850, 36.953225, 38.994997, 46.856400, 178.614192]]
### 4
mean: [1.347303, 1.810002, -0.504691, 0.687590, 0.228543, 1.490251, 1.549774, 1.669840]
std: [1.703270, 1.905447, 0.308599, 0.790235, 0.460517, 1.544560, 1.061118, 1.409206]
pca: [[0.473719, -0.026637, -0.321315, -0.105402, 0.712558, -0.363925, 0.116365, 0.082503, 0.000000, 0.000000], [0.529942, -0.073726, -0.361633, -0.075154, -0.664551, -0.273149, 0.125237, -0.213018, 0.000000, 0.000000], [-0.084431, 0.275420, -0.027212, 0.677522, 0.115001, -0.072293, 0.393050, -0.533197, 0.000000, 0.000000], [0.216945, 0.729603, -0.302822, -0.096068, -0.006876, 0.543570, -0.007370, 0.155287, 0.000000, 0.000000], [0.127790, -0.029226, 0.417948, -0.352230, -0.013660, 0.149671, 0.810310, 0.069853, 0.000000, 0.000000], [0.429096, -0.440622, 0.122433, 0.071470, 0.156210, 0.615286, -0.191985, -0.402236, 0.000000, 0.000000], [0.294189, 0.434171, 0.629239, -0.174773, 0.015059, -0.302104, -0.350169, -0.290431, 0.000000, 0.000000], [0.391863, -0.046611, 0.296521, 0.596035, -0.112005, -0.002923, -0.012406, 0.623202, 0.000000, 0.000000]]
fourier: [[27.799697, 29.766601, 31.916534, 38.872643, 121.257232], [31.328461, 33.291443, 35.597412, 43.498087, 162.900148], [4.733629, 5.216138, 5.841873, 6.840977, 45.422227], [12.789682, 13.227499, 15.404926, 18.405114, 61.883112], [7.080348, 8.128410, 8.582242, 10.650338, 20.568895], [24.785547, 27.326558, 28.519129, 35.054688, 134.122569], [16.840487, 17.935680, 20.449799, 24.786173, 139.479677], [22.735663, 24.340103, 26.625543, 32.300811, 150.285618]]
### 6
mean: [-1.044629, 0.443148, -0.810819, 0.062006, -0.866383, -1.182908, 3.303800, -0.571971]
std: [0.778680, 0.059048, 0.475110, 0.395976, 0.450230, 0.648134, 3.234678, 0.222635]
pca: [[-0.223575, 0.134918, 0.432231, 0.009298, 0.051916, 0.577974, -0.176621, 0.613968, 0.000000, 0.000000], [-0.008820, -0.309006, 0.587166, 0.632989, -0.234233, -0.020806, 0.179838, -0.267131, 0.000000, 0.000000], [-0.136027, -0.075434, 0.530263, -0.611916, 0.014297, -0.066076, -0.352537, -0.437416, 0.000000, 0.000000], [-0.113554, -0.167822, 0.288878, -0.129044, 0.495076, -0.563441, 0.378199, 0.391457, 0.000000, 0.000000], [-0.129258, 0.161696, -0.023406, 0.059141, 0.641985, 0.455621, 0.369025, -0.444057, 0.000000, 0.000000], [-0.184787, 0.886023, 0.188961, 0.120650, -0.169332, -0.292423, 0.101353, -0.078091, 0.000000, 0.000000], [0.929314, 0.192114, 0.258568, -0.094068, 0.094368, 0.079973, 0.074618, 0.053786, 0.000000, 0.000000], [-0.063725, -0.066094, 0.025897, -0.425725, -0.497405, 0.210199, 0.719115, 0.030587, 0.000000, 0.000000]]
fourier: [[12.858952, 13.549079, 14.783925, 17.799967, 94.016632], [0.898360, 0.934540, 1.047592, 1.055006, 39.883320], [7.727980, 8.533120, 8.987099, 10.775311, 72.973705], [5.658036, 6.576608, 7.139496, 7.341753, 9.005571], [7.335361, 7.783842, 8.494743, 10.422435, 77.974476], [10.424166, 10.504701, 12.661771, 15.246723, 106.461713], [52.980940, 56.762169, 60.732285, 73.840467, 297.342068], [3.494757, 4.006483, 4.222858, 4.995207, 51.477347]]
### 8
mean: [-0.323416, 0.121094, 1.301163, -1.235049, -0.609225, 0.223772, 0.105371, 0.426076]
std: [0.178063, 0.395763, 1.522874, 0.697432, 0.317638, 0.234266, 0.355337, 0.499406]
pca: [[-0.094779, -0.066419, -0.236058, 0.611199, 0.599805, -0.379707, -0.025914, -0.229570, 0.000000, 0.000000], [-0.210846, -0.135570, 0.213806, 0.219162, -0.389008, -0.486412, 0.642860, 0.205492, 0.000000, 0.000000], [0.811638, 0.037676, -0.038756, 0.154956, 0.187714, 0.065139, 0.249750, 0.460929, 0.000000, 0.000000], [-0.371220, 0.572712, -0.241867, 0.099333, 0.019754, -0.048585, -0.188242, 0.653945, 0.000000, 0.000000], [-0.168452, -0.416539, -0.551315, 0.331193, -0.237289, 0.540026, 0.157944, 0.107711, 0.000000, 0.000000], [0.124383, -0.272381, 0.346734, 0.453899, -0.357679, -0.102783, -0.640746, 0.187176, 0.000000, 0.000000], [-0.188900, 0.237185, 0.606894, 0.362091, 0.211498, 0.557160, 0.226776, -0.045206, 0.000000, 0.000000], [0.265462, 0.586376, -0.214638, 0.312573, -0.473611, -0.001699, 0.036333, -0.465071, 0.000000, 0.000000]]
fourier: [[2.910936, 3.038435, 3.382586, 4.095371, 29.107410], [6.711672, 6.838127, 7.456489, 8.960026, 10.898496], [25.231603, 26.559077, 28.647518, 34.691984, 117.104699], [11.035079, 12.502951, 12.977122, 15.972304, 111.154448], [5.195231, 5.343792, 6.099195, 7.283563, 54.830242], [3.551985, 4.216174, 4.353406, 5.412485, 20.139441], [5.897386, 6.397324, 6.552404, 7.980625, 9.483347], [8.336769, 8.728120, 9.500175, 11.255412, 38.346829]]
### 10
mean: [0.777326, 0.207277, 0.124880, 0.840400, 0.670197, 0.272690, 0.217139, 0.104079]
std: [0.952384, 0.374079, 0.062312, 0.779662, 0.694962, 0.286621, 0.271819, 0.135404]
pca: [[0.627422, -0.172318, 0.174633, -0.301408, -0.500962, 0.027608, -0.142219, -0.428196, 0.000000, 0.000000], [-0.243562, 0.506569, 0.445549, -0.426244, 0.297118, -0.189041, -0.207419, -0.369904, 0.000000, 0.000000], [-0.033271, -0.316611, 0.569391, -0.157459, 0.195390, 0.675774, 0.133368, 0.192396, 0.000000, 0.000000], [0.513566, 0.180426, -0.087584, 0.375287, 0.523700, 0.230328, -0.473503, -0.060559, 0.000000, 0.000000], [0.457898, -0.065843, 0.308110, -0.114319, 0.272490, -0.559904, 0.295349, 0.450577, 0.000000, 0.000000], [0.184345, 0.550846, -0.284745, -0.446468, -0.190661, 0.319612, -0.009874, 0.493529, 0.000000, 0.000000], [0.175913, 0.452635, 0.102274, 0.357580, -0.043354, 0.178399, 0.705801, -0.306581, 0.000000, 0.000000], [-0.086958, 0.261252, 0.502634, 0.470712, -0.485630, -0.079435, -0.330568, 0.313933, 0.000000, 0.000000]]
fourier: [[15.803959, 16.603240, 18.175925, 21.459258, 69.959372], [5.895660, 6.740448, 7.180119, 8.327421, 18.654932], [0.901433, 0.947676, 1.260621, 1.286508, 11.239206], [13.244583, 13.345865, 14.829687, 17.630607, 75.636003], [11.598989, 12.080126, 13.271953, 15.649596, 60.317774], [4.337872, 5.138410, 5.453781, 6.440449, 24.542086], [4.210149, 5.006618, 5.067524, 6.094456, 19.542536], [2.232737, 2.459082, 2.516785, 2.997498, 9.367140]]
### 12
mean: [-0.744178]
std: [1.207716]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.184794, 20.992757, 23.149796, 27.179950, 66.976002]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.128544,
-0.237042
]
],
"network.8.bias": [
-0.116786,
0.358831,
-0.058405,
-0.285533,
-0.326851,
-0.209826,
0.341392,
0.284587
],
"network.10.weight": [
[
-0.228109,
-0.360657,
0.407665,
-0.274387,
0.001537,
0.064396,
-0.435489,
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],
[
-0.113314,
0.455263,
0.046232,
-0.322469,
0.053033,
-0.456913,
0.32029,
-0.408145
],
[
-0.111561,
-0.178113,
-0.032288,
-0.14195,
-0.285833,
-0.413764,
-0.077149,
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],
[
0.08281,
-0.390898,
0.414465,
0.069298,
-0.279111,
0.08397,
0.15812,
0.201254
],
[
0.176139,
-0.371286,
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0.197174,
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-0.099846,
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],
[
0.32426,
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0.300036,
0.257651,
-0.278656,
0.118313,
-0.000609,
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],
[
-0.161112,
0.057955,
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-0.155134,
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0.348679,
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[
0.119084,
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],
"network.10.bias": [
0.216112,
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"network.12.weight": [
[
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0.003689,
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],
"network.12.bias": [
0.229282
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}
## Activation Signature
### 0
mean: [1.497030, 0.676419, 2.232087, 0.555520, -0.231845, 1.400845, -0.505837, 1.173009]
std: [1.453122, 1.075000, 1.645271, 1.079755, 0.917412, 1.235457, 1.220392, 1.331077]
pca: [[0.374268, 0.568084, 0.025167, -0.192127, 0.332543, 0.420895, -0.457047, 0.055026, 0.000000, 0.000000], [0.293107, -0.353117, -0.267515, -0.149631, 0.304259, 0.533036, 0.542867, -0.155040, 0.000000, 0.000000], [0.630667, 0.063996, 0.340139, 0.069925, -0.316216, -0.202039, 0.100375, -0.571570, 0.000000, 0.000000], [-0.195375, 0.115523, 0.709682, 0.013438, -0.267457, 0.474685, 0.289958, 0.252428, 0.000000, 0.000000], [-0.098059, 0.053578, 0.132924, 0.851576, 0.449456, 0.074446, 0.008045, -0.192476, 0.000000, 0.000000], [0.151795, -0.461972, 0.522484, -0.253241, 0.536744, -0.285532, -0.166574, 0.170442, 0.000000, 0.000000], [-0.209573, 0.550685, 0.065802, -0.266286, 0.363716, -0.362513, 0.542256, -0.140856, 0.000000, 0.000000], [0.511392, 0.124919, -0.116066, 0.274605, -0.054059, -0.232569, 0.283548, 0.704688, 0.000000, 0.000000]]
fourier: [[22.754067, 27.199476, 28.797094, 33.874771, 134.732678], [16.466740, 17.798051, 18.306062, 18.324486, 60.877717], [24.469357, 30.568649, 31.732866, 33.128334, 200.887841], [16.916402, 17.938640, 19.187642, 19.520802, 49.996761], [13.928227, 15.874301, 16.659804, 19.964723, 20.866058], [18.148595, 18.680605, 19.424874, 22.096824, 126.076043], [18.241555, 18.841054, 23.435077, 23.656854, 45.525324], [19.693140, 23.019096, 26.523006, 27.304651, 105.570794]]
### 2
mean: [-0.509883, -0.505799, -0.966514, -1.762972, 1.397935, 0.857076, -0.792823, 1.984602]
std: [0.468770, 0.555736, 0.742557, 1.033876, 1.700401, 0.908228, 0.310861, 2.119028]
pca: [[-0.128521, -0.096819, -0.048749, 0.822360, -0.424516, 0.197078, -0.269757, -0.060281, 0.000000, 0.000000], [-0.135559, -0.085458, -0.559748, 0.119275, 0.175384, -0.307691, -0.100547, 0.715006, 0.000000, 0.000000], [-0.193032, 0.049960, 0.692833, 0.222846, 0.496527, 0.119888, -0.151228, 0.383122, 0.000000, 0.000000], [-0.157129, 0.953292, -0.118728, 0.105658, 0.054151, -0.137520, -0.084658, -0.110792, 0.000000, 0.000000], [0.564047, 0.152577, 0.138482, 0.326878, -0.099542, -0.108541, 0.669264, 0.250880, 0.000000, 0.000000], [0.289311, 0.055200, 0.355926, -0.200229, -0.491156, -0.490461, -0.466326, 0.217327, 0.000000, 0.000000], [-0.059462, 0.203903, -0.005833, -0.314775, -0.406457, 0.689401, 0.036537, 0.462552, 0.000000, 0.000000], [0.705528, 0.064490, -0.210468, 0.051471, 0.351006, 0.324953, -0.469442, -0.044159, 0.000000, 0.000000]]
fourier: [[7.605084, 7.789581, 8.649369, 10.909741, 45.889458], [9.370373, 9.802440, 10.694968, 11.909587, 45.521958], [10.767349, 12.176940, 12.681887, 12.804232, 86.986233], [16.516946, 16.564346, 16.722254, 16.751975, 158.667539], [26.832898, 28.756979, 31.983322, 37.556855, 125.814160], [14.870164, 14.973919, 18.144616, 21.081248, 77.136805], [4.828157, 4.893465, 5.487828, 6.636771, 71.354085], [31.085850, 36.953225, 38.994997, 46.856400, 178.614192]]
### 4
mean: [1.347303, 1.810002, -0.504691, 0.687590, 0.228543, 1.490251, 1.549774, 1.669840]
std: [1.703270, 1.905447, 0.308599, 0.790235, 0.460517, 1.544560, 1.061118, 1.409206]
pca: [[0.473719, -0.026637, -0.321315, -0.105402, 0.712558, -0.363925, 0.116365, 0.082503, 0.000000, 0.000000], [0.529942, -0.073726, -0.361633, -0.075154, -0.664551, -0.273149, 0.125237, -0.213018, 0.000000, 0.000000], [-0.084431, 0.275420, -0.027212, 0.677522, 0.115001, -0.072293, 0.393050, -0.533197, 0.000000, 0.000000], [0.216945, 0.729603, -0.302822, -0.096068, -0.006876, 0.543570, -0.007370, 0.155287, 0.000000, 0.000000], [0.127790, -0.029226, 0.417948, -0.352230, -0.013660, 0.149671, 0.810310, 0.069853, 0.000000, 0.000000], [0.429096, -0.440622, 0.122433, 0.071470, 0.156210, 0.615286, -0.191985, -0.402236, 0.000000, 0.000000], [0.294189, 0.434171, 0.629239, -0.174773, 0.015059, -0.302104, -0.350169, -0.290431, 0.000000, 0.000000], [0.391863, -0.046611, 0.296521, 0.596035, -0.112005, -0.002923, -0.012406, 0.623202, 0.000000, 0.000000]]
fourier: [[27.799697, 29.766601, 31.916534, 38.872643, 121.257232], [31.328461, 33.291443, 35.597412, 43.498087, 162.900148], [4.733629, 5.216138, 5.841873, 6.840977, 45.422227], [12.789682, 13.227499, 15.404926, 18.405114, 61.883112], [7.080348, 8.128410, 8.582242, 10.650338, 20.568895], [24.785547, 27.326558, 28.519129, 35.054688, 134.122569], [16.840487, 17.935680, 20.449799, 24.786173, 139.479677], [22.735663, 24.340103, 26.625543, 32.300811, 150.285618]]
### 6
mean: [-1.044629, 0.443148, -0.810819, 0.062006, -0.866383, -1.182908, 3.303800, -0.571971]
std: [0.778680, 0.059048, 0.475110, 0.395976, 0.450230, 0.648134, 3.234678, 0.222635]
pca: [[-0.223575, 0.134918, 0.432231, 0.009298, 0.051916, 0.577974, -0.176621, 0.613968, 0.000000, 0.000000], [-0.008820, -0.309006, 0.587166, 0.632989, -0.234233, -0.020806, 0.179838, -0.267131, 0.000000, 0.000000], [-0.136027, -0.075434, 0.530263, -0.611916, 0.014297, -0.066076, -0.352537, -0.437416, 0.000000, 0.000000], [-0.113554, -0.167822, 0.288878, -0.129044, 0.495076, -0.563441, 0.378199, 0.391457, 0.000000, 0.000000], [-0.129258, 0.161696, -0.023406, 0.059141, 0.641985, 0.455621, 0.369025, -0.444057, 0.000000, 0.000000], [-0.184787, 0.886023, 0.188961, 0.120650, -0.169332, -0.292423, 0.101353, -0.078091, 0.000000, 0.000000], [0.929314, 0.192114, 0.258568, -0.094068, 0.094368, 0.079973, 0.074618, 0.053786, 0.000000, 0.000000], [-0.063725, -0.066094, 0.025897, -0.425725, -0.497405, 0.210199, 0.719115, 0.030587, 0.000000, 0.000000]]
fourier: [[12.858952, 13.549079, 14.783925, 17.799967, 94.016632], [0.898360, 0.934540, 1.047592, 1.055006, 39.883320], [7.727980, 8.533120, 8.987099, 10.775311, 72.973705], [5.658036, 6.576608, 7.139496, 7.341753, 9.005571], [7.335361, 7.783842, 8.494743, 10.422435, 77.974476], [10.424166, 10.504701, 12.661771, 15.246723, 106.461713], [52.980940, 56.762169, 60.732285, 73.840467, 297.342068], [3.494757, 4.006483, 4.222858, 4.995207, 51.477347]]
### 8
mean: [-0.323416, 0.121094, 1.301163, -1.235049, -0.609225, 0.223772, 0.105371, 0.426076]
std: [0.178063, 0.395763, 1.522874, 0.697432, 0.317638, 0.234266, 0.355337, 0.499406]
pca: [[-0.094779, -0.066419, -0.236058, 0.611199, 0.599805, -0.379707, -0.025914, -0.229570, 0.000000, 0.000000], [-0.210846, -0.135570, 0.213806, 0.219162, -0.389008, -0.486412, 0.642860, 0.205492, 0.000000, 0.000000], [0.811638, 0.037676, -0.038756, 0.154956, 0.187714, 0.065139, 0.249750, 0.460929, 0.000000, 0.000000], [-0.371220, 0.572712, -0.241867, 0.099333, 0.019754, -0.048585, -0.188242, 0.653945, 0.000000, 0.000000], [-0.168452, -0.416539, -0.551315, 0.331193, -0.237289, 0.540026, 0.157944, 0.107711, 0.000000, 0.000000], [0.124383, -0.272381, 0.346734, 0.453899, -0.357679, -0.102783, -0.640746, 0.187176, 0.000000, 0.000000], [-0.188900, 0.237185, 0.606894, 0.362091, 0.211498, 0.557160, 0.226776, -0.045206, 0.000000, 0.000000], [0.265462, 0.586376, -0.214638, 0.312573, -0.473611, -0.001699, 0.036333, -0.465071, 0.000000, 0.000000]]
fourier: [[2.910936, 3.038435, 3.382586, 4.095371, 29.107410], [6.711672, 6.838127, 7.456489, 8.960026, 10.898496], [25.231603, 26.559077, 28.647518, 34.691984, 117.104699], [11.035079, 12.502951, 12.977122, 15.972304, 111.154448], [5.195231, 5.343792, 6.099195, 7.283563, 54.830242], [3.551985, 4.216174, 4.353406, 5.412485, 20.139441], [5.897386, 6.397324, 6.552404, 7.980625, 9.483347], [8.336769, 8.728120, 9.500175, 11.255412, 38.346829]]
### 10
mean: [0.777326, 0.207277, 0.124880, 0.840400, 0.670197, 0.272690, 0.217139, 0.104079]
std: [0.952384, 0.374079, 0.062312, 0.779662, 0.694962, 0.286621, 0.271819, 0.135404]
pca: [[0.627422, -0.172318, 0.174633, -0.301408, -0.500962, 0.027608, -0.142219, -0.428196, 0.000000, 0.000000], [-0.243562, 0.506569, 0.445549, -0.426244, 0.297118, -0.189041, -0.207419, -0.369904, 0.000000, 0.000000], [-0.033271, -0.316611, 0.569391, -0.157459, 0.195390, 0.675774, 0.133368, 0.192396, 0.000000, 0.000000], [0.513566, 0.180426, -0.087584, 0.375287, 0.523700, 0.230328, -0.473503, -0.060559, 0.000000, 0.000000], [0.457898, -0.065843, 0.308110, -0.114319, 0.272490, -0.559904, 0.295349, 0.450577, 0.000000, 0.000000], [0.184345, 0.550846, -0.284745, -0.446468, -0.190661, 0.319612, -0.009874, 0.493529, 0.000000, 0.000000], [0.175913, 0.452635, 0.102274, 0.357580, -0.043354, 0.178399, 0.705801, -0.306581, 0.000000, 0.000000], [-0.086958, 0.261252, 0.502634, 0.470712, -0.485630, -0.079435, -0.330568, 0.313933, 0.000000, 0.000000]]
fourier: [[15.803959, 16.603240, 18.175925, 21.459258, 69.959372], [5.895660, 6.740448, 7.180119, 8.327421, 18.654932], [0.901433, 0.947676, 1.260621, 1.286508, 11.239206], [13.244583, 13.345865, 14.829687, 17.630607, 75.636003], [11.598989, 12.080126, 13.271953, 15.649596, 60.317774], [4.337872, 5.138410, 5.453781, 6.440449, 24.542086], [4.210149, 5.006618, 5.067524, 6.094456, 19.542536], [2.232737, 2.459082, 2.516785, 2.997498, 9.367140]]
### 12
mean: [-0.744178]
std: [1.207716]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.184794, 20.992757, 23.149796, 27.179950, 66.976002]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.4970297813415527, "std": 1.4531223773956299, "pca": [0.37426847219467163, 0.5680840611457825, 0.025167014449834824, -0.19212721288204193, 0.3325433135032654, 0.42089471220970154, -0.45704716444015503, 0.05502592772245407, 0.0, 0.0], "fourier": [22.754067242646045, 27.19947608323303, 28.797093987543324, 33.87477103175774, 134.7326780706644]}, "1": {"mean": 0.6764190793037415, "std": 1.0750000476837158, "pca": [0.2931068241596222, -0.3531171679496765, -0.26751548051834106, -0.14963054656982422, 0.3042590320110321, 0.5330356359481812, 0.5428671836853027, -0.15504029393196106, 0.0, 0.0], "fourier": [16.46673953498036, 17.79805083749784, 18.306061517437257, 18.324486365763626, 60.87771733105183]}, "2": {"mean": 2.2320871353149414, "std": 1.6452710628509521, "pca": [0.6306669116020203, 0.06399617344141006, 0.3401394486427307, 0.06992456316947937, -0.3162156939506531, -0.20203939080238342, 0.10037463903427124, -0.5715698599815369, 0.0, 0.0], "fourier": [24.469356547258872, 30.568648946145284, 31.732866343152097, 33.128333949103784, 200.88784106075764]}, "3": {"mean": 0.5555195212364197, "std": 1.079755187034607, "pca": [-0.19537463784217834, 0.11552290618419647, 0.7096815705299377, 0.01343805342912674, -0.2674565017223358, 0.4746851325035095, 0.28995823860168457, 0.25242820382118225, 0.0, 0.0], "fourier": [16.916401929909817, 17.93864025279189, 19.1876424020086, 19.520801636791877, 49.99676110595465]}, "4": {"mean": -0.23184509575366974, "std": 0.917412281036377, "pca": [-0.09805905818939209, 0.053578052669763565, 0.1329241544008255, 0.8515755534172058, 0.44945552945137024, 0.07444576174020767, 0.008045123890042305, -0.1924758106470108, 0.0, 0.0], "fourier": [13.928227142502099, 15.874300550753972, 16.6598035568284, 19.96472259270811, 20.866057850420475]}, "5": {"mean": 1.4008450508117676, "std": 1.235457181930542, "pca": [0.15179525315761566, -0.46197178959846497, 0.5224837064743042, 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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.677308, -0.254752, 0.028922, 0.240879, 0.18966], [-0.161677, -0.153551, -0.133472, 0.398261, 0.233079], [0.149069, 0.068622, 0.140206, 0.365618, 0.615041], [-0.073802, 0.39219, 0.333509, -0.241266, -0.212048], [-0.148061, -0.17229, 0.339317, -0.248343, 0.060141], [-0.39638, 0.205409, 0.290164, 0.359671, -0.033616], [0.511774, -0.104618, 0.041274, -0.158858, -0.378127], [0.216613, -0.216371, -0.006622, 0.265212, 0.560262]], "network.0.bias": [0.307492, 0.294716, 0.086061, 0.014947, 0.015948, 0.183862, -0.231271, 0.051834], "network.2.weight": [[-0.139412, 0.132365, -0.041541, 0.181171, -0.337807, 0.066586, 0.055174, -0.147845], [-0.166086, 0.184344, -0.355615, 0.006941, 0.015084, 0.180462, -0.185016, 0.25011], [-0.427294, -0.45212, 0.108197, 0.27458, -0.265837, -0.092813, 0.349352, -0.033543], [-0.190616, -0.064296, -0.449498, -0.273584, -0.390338, -0.39867, 0.183668, 0.255033], [0.532022, 0.162532, 0.294015, -0.087002, -0.252159, -0.245138, 0.247915, 0.35489], [0.489643, -0.100562, -0.123496, 0.134864, -0.137664, 0.019165, -0.061867, 0.397761], [0.018487, -0.172217, 0.125254, -0.394428, 0.123359, 0.006257, 0.063384, -0.345872], [0.522926, 0.305718, 0.285116, -0.363265, 0.139351, -0.087496, 0.59022, 0.589852]], "network.2.bias": [-0.297501, -0.140553, -0.242392, 0.104283, -0.206038, -0.08238, -0.30869, -0.20719], "network.4.weight": [[0.155848, 0.02965, 0.003, -0.173842, 0.526439, 0.150181, 0.232855, 0.362892], [-0.260448, 0.032626, 0.3293, -0.287637, 0.576617, 0.147459, -0.232652, 0.423363], [-0.228163, 0.341595, -0.132308, 0.045394, 0.008453, 0.070699, -0.017684, -0.190917], [-0.114474, -0.225113, 0.250126, -0.033012, 0.14735, 0.533475, -0.174943, 0.039855], [0.122328, -0.382335, -0.148976, 0.221038, -0.10654, 0.178667, -0.202112, 0.234868], [0.014636, -0.291775, -0.186117, 0.197477, 0.415759, -0.053235, 0.167811, 0.456447], [-0.009523, -0.302994, -0.267496, 0.01298, -0.098682, 0.606813, 0.400687, 0.33773], [-0.287542, 0.075268, -0.289554, -0.150189, 0.332145, 0.18651, -0.261475, 0.349107]], "network.4.bias": [-0.318272, -0.050408, -0.177589, -0.075718, -0.251434, -0.022387, 0.481146, 0.303982], "network.6.weight": [[-0.321926, -0.239479, 0.079229, 0.004118, 0.09371, 0.127818, -0.279439, 0.183218], [-0.33128, -0.217589, 0.18016, -0.171693, 0.299918, 0.073578, 0.374797, 0.301862], [-0.319776, 0.114526, -0.211364, 0.108464, -0.306515, 0.069433, -0.246566, 0.013381], [0.102782, -0.129887, -0.251961, -0.223431, -0.465336, -0.129829, 0.234043, -0.006981], [0.189704, -0.436386, -0.012753, -0.041386, -0.189553, 0.083394, -0.105561, 0.113557], [0.08731, 0.047289, -0.2939, -0.393981, 0.214444, 0.005147, -0.367554, -0.195103], [0.390714, 0.575382, 0.022834, 0.241417, 0.274539, 0.414368, 0.085845, 0.347432], [-0.33541, 0.184115, -0.120857, 0.306163, 0.05018, 0.115152, -0.308138, -0.094384]], "network.6.bias": [-0.243269, 0.148292, -0.288508, 0.290908, -0.409712, -0.29502, 0.112227, -0.192807], "network.8.weight": [[-0.023904, -0.106665, 0.279392, 0.072563, 0.165718, -0.147304, -0.052613, 0.130041], [-0.164013, 0.251839, 0.160566, 0.132301, -0.196404, 0.220284, -0.113719, 0.314999], [0.039161, -0.266672, 0.081773, -0.196065, -0.09432, -0.048423, 0.459113, -0.294428], [-0.350504, -0.269436, -0.154997, -0.311497, -0.072398, -0.275755, -0.232471, -0.089804], [0.13267, -0.167438, 0.304979, 0.339265, -0.186778, -0.004639, -0.083475, 0.001411], [0.168453, 0.297479, 0.324231, 0.15265, -0.354125, 0.166349, 0.082133, -0.064013], [-0.277476, 0.370662, 0.141765, -0.141347, 0.131747, -0.044473, -0.112631, -0.039288], [0.336002, -0.434064, -0.132007, -0.45583, -0.099628, -0.013527, 0.128544, -0.237042]], "network.8.bias": [-0.116786, 0.358831, -0.058405, -0.285533, -0.326851, -0.209826, 0.341392, 0.284587], "network.10.weight": [[-0.228109, -0.360657, 0.407665, -0.274387, 0.001537, 0.064396, -0.435489, 0.406183], [-0.113314, 0.455263, 0.046232, -0.322469, 0.053033, -0.456913, 0.32029, -0.408145], [-0.111561, -0.178113, -0.032288, -0.14195, -0.285833, -0.413764, -0.077149, 0.098288], [0.08281, -0.390898, 0.414465, 0.069298, -0.279111, 0.08397, 0.15812, 0.201254], [0.176139, -0.371286, 0.37872, 0.197174, -0.107907, -0.208602, -0.099846, 0.198956], [0.32426, 0.313094, 0.300036, 0.257651, -0.278656, 0.118313, -0.000609, -0.278229], [-0.161112, 0.057955, 0.170222, 0.268108, -0.155134, 0.086925, 0.348679, 0.124798], [0.119084, 0.144383, -0.120707, -0.200182, -0.290274, -0.026281, 0.379488, 0.289924]], "network.10.bias": [0.216112, 0.25148, 0.276929, 0.237116, 0.231974, -0.107696, -0.17395, 0.027877], "network.12.weight": [[-0.462158, 0.246934, 0.003689, -0.435438, -0.355191, -0.102761, -0.326323, 0.297291]], "network.12.bias": [0.229282]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6912227272987366, "train_acc": 0.535, "val_loss": 0.6896303296089172, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.68397456407547, "train_acc": 0.56, "val_loss": 0.6765859723091125, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6605228781700134, "train_acc": 0.56, "val_loss": 0.6349141001701355, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6368077993392944, "train_acc": 0.495, "val_loss": 0.5132591128349304, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5327929556369781, "train_acc": 0.75, "val_loss": 0.3661794364452362, "val_acc": 0.96}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4138033241033554, "train_acc": 0.85, "val_loss": 0.2843802571296692, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.37410908937454224, "train_acc": 0.855, "val_loss": 0.2387290894985199, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3453861474990845, "train_acc": 0.86, "val_loss": 0.2033110409975052, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3088296204805374, "train_acc": 0.865, "val_loss": 0.1826627403497696, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3180195838212967, "train_acc": 0.87, "val_loss": 0.17148810625076294, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.32786376774311066, "train_acc": 0.86, "val_loss": 0.19004115462303162, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.31588028371334076, "train_acc": 0.86, "val_loss": 0.13715650141239166, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.2828616425395012, "train_acc": 0.875, "val_loss": 0.13928721845149994, "val_acc": 0.96}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6896303296089172, "final_val_loss": 0.6349141001701355, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5132591128349304, "final_val_loss": 0.13928721845149994, "initial_val_acc": 0.82, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 4}, "improvement": 0.43999999999999995, "first_improvement_epoch": 2}}
|
120
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.46, "improved_accuracy": 0.8, "improvement": 0.34, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2258, "learning_rate": 0.0886809520122628, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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],
[
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]
],
"network.0.bias": [
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"network.2.weight": [
[
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[
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[
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0.001836
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[
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],
[
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[
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],
[
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],
"network.2.bias": [
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"network.4.weight": [
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"network.6.weight": [
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"network.8.weight": [
[
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"network.10.weight": [
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"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-2.922876, 1.812158, 0.328379, -1.752928, -2.171807, -1.593838, 0.028801]
std: [1.766608, 1.623350, 0.803855, 1.086192, 1.646331, 0.999862, 1.203596]
pca: [[0.553593, 0.397325, 0.044693, 0.281051, 0.321081, -0.483864, -0.342728, 0.000000, 0.000000, 0.000000], [-0.451428, 0.473005, -0.446140, 0.521045, 0.087730, -0.025146, 0.305976, 0.000000, 0.000000, 0.000000], [0.000727, -0.331186, 0.511945, 0.577122, 0.434255, 0.275676, 0.174879, 0.000000, 0.000000, 0.000000], [0.280781, 0.391667, -0.041135, -0.432825, 0.488157, 0.440916, 0.382133, 0.000000, 0.000000, 0.000000], [0.536337, -0.103508, -0.411607, 0.347671, -0.352386, 0.527103, -0.096541, 0.000000, 0.000000, 0.000000], [0.324929, 0.052563, 0.244203, 0.068349, -0.427556, -0.326162, 0.733598, 0.000000, 0.000000, 0.000000], [-0.132938, 0.584667, 0.553287, 0.059737, -0.394152, 0.332596, -0.254602, 0.000000, 0.000000, 0.000000]]
fourier: [[28.501046, 28.790516, 31.512342, 36.479154, 263.058865], [24.250879, 25.171834, 26.097647, 28.199201, 163.094175], [12.372180, 14.341964, 14.684135, 14.990017, 29.554070], [15.954567, 16.723684, 20.073438, 23.522083, 157.763518], [25.093239, 29.649784, 30.237829, 30.491644, 195.462599], [16.260645, 18.063797, 18.597725, 19.249115, 143.445413], [18.642060, 18.735399, 18.967060, 18.983054, 19.103392]]
### 2
mean: [0.560756, -0.980855, -0.134819, -0.456940, 0.932804, 0.567234, 0.991743]
std: [0.353560, 0.498333, 0.524955, 0.363018, 0.682836, 0.843533, 0.581660]
pca: [[0.045077, 0.730713, 0.430138, -0.246029, 0.243608, 0.398655, -0.014391, 0.000000, 0.000000, 0.000000], [-0.345358, -0.069333, 0.266918, 0.609704, 0.265762, 0.113354, 0.591149, 0.000000, 0.000000, 0.000000], [0.360889, 0.189679, -0.095118, 0.672810, 0.286843, -0.065197, -0.534351, 0.000000, 0.000000, 0.000000], [-0.211351, -0.399588, 0.414702, -0.261454, 0.625374, -0.246256, -0.321855, 0.000000, 0.000000, 0.000000], [0.472730, 0.173819, -0.263104, -0.182461, 0.443172, -0.453852, 0.491339, 0.000000, 0.000000, 0.000000], [0.568476, -0.483212, 0.074283, -0.054078, 0.123873, 0.636530, 0.119929, 0.000000, 0.000000, 0.000000], [0.396417, -0.043551, 0.698548, 0.102382, -0.430010, -0.390102, 0.073600, 0.000000, 0.000000, 0.000000]]
fourier: [[5.054504, 5.102871, 5.366425, 6.901324, 50.468069], [6.616681, 7.157242, 7.894072, 8.229680, 88.276932], [7.941459, 8.129558, 8.465122, 8.560070, 12.133746], [5.451007, 5.608838, 5.686916, 7.084313, 41.124621], [9.805712, 9.839967, 10.872710, 11.171632, 83.952392], [12.042516, 12.863590, 13.292826, 14.477524, 51.051065], [8.955854, 9.045112, 9.524293, 9.778773, 89.256857]]
### 4
mean: [-1.469125, 0.402538, 0.745126, -0.035841, 0.701458, 0.132444, 0.673120]
std: [0.598430, 0.519345, 1.011775, 0.152208, 0.598585, 0.809586, 0.351490]
pca: [[-0.358328, 0.303861, 0.626411, -0.249016, 0.326524, -0.343038, 0.317140, 0.000000, 0.000000, 0.000000], [0.316069, 0.096054, -0.176802, 0.006689, 0.689132, -0.374138, -0.494659, 0.000000, 0.000000, 0.000000], [0.607747, -0.511967, 0.194656, -0.407872, 0.142282, 0.046826, 0.376625, 0.000000, 0.000000, 0.000000], [-0.085311, 0.168939, -0.141068, 0.159248, 0.578375, 0.700047, 0.307145, 0.000000, 0.000000, 0.000000], [0.346928, 0.535657, -0.419679, 0.064349, -0.126351, -0.319790, 0.542412, 0.000000, 0.000000, 0.000000], [0.490203, 0.253536, 0.582706, 0.551824, -0.123843, 0.145986, -0.121304, 0.000000, 0.000000, 0.000000], [-0.185497, -0.506539, -0.053692, 0.661496, 0.180043, -0.355682, 0.331097, 0.000000, 0.000000, 0.000000]]
fourier: [[8.268841, 9.159612, 9.387675, 10.107443, 132.221275], [7.425792, 7.584323, 7.858835, 8.898126, 36.228432], [14.522040, 15.351776, 15.951309, 16.363252, 67.061370], [2.337086, 2.489970, 2.495946, 2.496267, 3.225713], [9.054390, 9.246340, 9.327987, 10.039449, 63.131200], [11.628864, 11.919940, 11.977348, 12.440740, 13.155280], [5.089919, 5.197255, 5.401446, 5.991855, 60.580796]]
### 6
mean: [0.991713, -0.038325, 0.242254, 0.261548, 0.071459, -0.604650, -1.373794]
std: [0.692583, 1.002421, 0.405339, 0.782280, 0.457525, 0.639649, 0.668267]
pca: [[-0.381026, 0.275289, 0.352009, -0.225254, 0.721720, 0.023243, 0.288036, 0.000000, 0.000000, 0.000000], [0.553465, 0.135445, 0.212723, -0.254427, -0.189623, 0.434174, 0.583852, 0.000000, 0.000000, 0.000000], [0.220232, 0.191334, 0.812270, 0.120661, -0.182893, -0.338398, -0.304276, 0.000000, 0.000000, 0.000000], [0.429591, -0.401136, -0.008953, -0.553922, 0.387612, 0.023221, -0.443677, 0.000000, 0.000000, 0.000000], [-0.246878, 0.478174, 0.002357, -0.264181, -0.215894, 0.586953, -0.499479, 0.000000, 0.000000, 0.000000], [0.344466, 0.682710, -0.411062, -0.150183, 0.099852, -0.461666, -0.024853, 0.000000, 0.000000, 0.000000], [0.368564, 0.116655, -0.044695, 0.686143, 0.450433, 0.371822, -0.191367, 0.000000, 0.000000, 0.000000]]
fourier: [[9.494666, 10.052598, 10.333299, 10.714058, 89.254210], [13.155692, 13.798814, 14.317888, 15.087437, 15.668401], [5.639631, 5.845341, 6.154097, 6.840989, 21.802891], [10.926852, 11.297535, 11.618281, 12.420337, 23.539301], [6.481177, 6.641950, 6.702187, 6.714479, 7.465209], [8.926509, 8.995319, 9.613015, 9.665487, 54.418509], [9.187131, 9.518756, 10.104083, 10.385133, 123.641440]]
### 8
mean: [0.781643, -1.027883, 0.630386, 0.069367, -0.135475, -0.274012, -0.166052]
std: [0.594478, 0.472586, 0.834742, 0.169736, 0.404833, 0.272222, 0.229825]
pca: [[0.470331, -0.499236, -0.266642, -0.181467, 0.366397, -0.371144, 0.391827, 0.000000, 0.000000, 0.000000], [0.358432, 0.707243, 0.111832, -0.354485, -0.152118, -0.077435, 0.451698, 0.000000, 0.000000, 0.000000], [0.671984, -0.163051, 0.055196, 0.442018, -0.410877, 0.392884, -0.015733, 0.000000, 0.000000, 0.000000], [-0.126583, -0.235793, 0.870715, 0.145853, 0.052971, -0.097572, 0.369640, 0.000000, 0.000000, 0.000000], [-0.325491, 0.071513, -0.352541, 0.556437, -0.319437, -0.303721, 0.510634, 0.000000, 0.000000, 0.000000], [0.206213, 0.404034, 0.065438, 0.561351, 0.645794, -0.157669, -0.181456, 0.000000, 0.000000, 0.000000], [-0.185100, -0.005335, -0.163208, 0.004322, 0.389740, 0.758466, 0.460310, 0.000000, 0.000000, 0.000000]]
fourier: [[8.513599, 8.670217, 8.906319, 11.459985, 70.347864], [6.619983, 6.633037, 6.659558, 6.908647, 92.509444], [12.069968, 12.104831, 12.619147, 15.296147, 56.734725], [2.271451, 2.462747, 2.512817, 2.580112, 6.243049], [5.825433, 6.018836, 6.087492, 7.260732, 12.192735], [3.847981, 3.858179, 3.892646, 4.003777, 24.661057], [3.331223, 3.377490, 3.459386, 4.122633, 14.944664]]
### 10
mean: [-0.727229]
std: [0.537633]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.772001, 7.865674, 7.952259, 10.672971, 65.450657]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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],
[
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],
[
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[
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],
[
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0.172084
]
],
"network.0.bias": [
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-0.242187,
-0.186675,
0.039557
],
"network.2.weight": [
[
-0.3604,
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],
[
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],
[
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],
[
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],
[
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],
[
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],
[
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]
],
"network.2.bias": [
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"network.4.weight": [
[
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[
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[
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[
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[
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[
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[
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"network.6.weight": [
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[
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[
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[
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[
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],
[
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]
],
"network.6.bias": [
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"network.8.weight": [
[
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],
[
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[
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[
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]
],
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"network.10.weight": [
[
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-2.922876, 1.812158, 0.328379, -1.752928, -2.171807, -1.593838, 0.028801]
std: [1.766608, 1.623350, 0.803855, 1.086192, 1.646331, 0.999862, 1.203596]
pca: [[0.553593, 0.397325, 0.044693, 0.281051, 0.321081, -0.483864, -0.342728, 0.000000, 0.000000, 0.000000], [-0.451428, 0.473005, -0.446140, 0.521045, 0.087730, -0.025146, 0.305976, 0.000000, 0.000000, 0.000000], [0.000727, -0.331186, 0.511945, 0.577122, 0.434255, 0.275676, 0.174879, 0.000000, 0.000000, 0.000000], [0.280781, 0.391667, -0.041135, -0.432825, 0.488157, 0.440916, 0.382133, 0.000000, 0.000000, 0.000000], [0.536337, -0.103508, -0.411607, 0.347671, -0.352386, 0.527103, -0.096541, 0.000000, 0.000000, 0.000000], [0.324929, 0.052563, 0.244203, 0.068349, -0.427556, -0.326162, 0.733598, 0.000000, 0.000000, 0.000000], [-0.132938, 0.584667, 0.553287, 0.059737, -0.394152, 0.332596, -0.254602, 0.000000, 0.000000, 0.000000]]
fourier: [[28.501046, 28.790516, 31.512342, 36.479154, 263.058865], [24.250879, 25.171834, 26.097647, 28.199201, 163.094175], [12.372180, 14.341964, 14.684135, 14.990017, 29.554070], [15.954567, 16.723684, 20.073438, 23.522083, 157.763518], [25.093239, 29.649784, 30.237829, 30.491644, 195.462599], [16.260645, 18.063797, 18.597725, 19.249115, 143.445413], [18.642060, 18.735399, 18.967060, 18.983054, 19.103392]]
### 2
mean: [0.560756, -0.980855, -0.134819, -0.456940, 0.932804, 0.567234, 0.991743]
std: [0.353560, 0.498333, 0.524955, 0.363018, 0.682836, 0.843533, 0.581660]
pca: [[0.045077, 0.730713, 0.430138, -0.246029, 0.243608, 0.398655, -0.014391, 0.000000, 0.000000, 0.000000], [-0.345358, -0.069333, 0.266918, 0.609704, 0.265762, 0.113354, 0.591149, 0.000000, 0.000000, 0.000000], [0.360889, 0.189679, -0.095118, 0.672810, 0.286843, -0.065197, -0.534351, 0.000000, 0.000000, 0.000000], [-0.211351, -0.399588, 0.414702, -0.261454, 0.625374, -0.246256, -0.321855, 0.000000, 0.000000, 0.000000], [0.472730, 0.173819, -0.263104, -0.182461, 0.443172, -0.453852, 0.491339, 0.000000, 0.000000, 0.000000], [0.568476, -0.483212, 0.074283, -0.054078, 0.123873, 0.636530, 0.119929, 0.000000, 0.000000, 0.000000], [0.396417, -0.043551, 0.698548, 0.102382, -0.430010, -0.390102, 0.073600, 0.000000, 0.000000, 0.000000]]
fourier: [[5.054504, 5.102871, 5.366425, 6.901324, 50.468069], [6.616681, 7.157242, 7.894072, 8.229680, 88.276932], [7.941459, 8.129558, 8.465122, 8.560070, 12.133746], [5.451007, 5.608838, 5.686916, 7.084313, 41.124621], [9.805712, 9.839967, 10.872710, 11.171632, 83.952392], [12.042516, 12.863590, 13.292826, 14.477524, 51.051065], [8.955854, 9.045112, 9.524293, 9.778773, 89.256857]]
### 4
mean: [-1.469125, 0.402538, 0.745126, -0.035841, 0.701458, 0.132444, 0.673120]
std: [0.598430, 0.519345, 1.011775, 0.152208, 0.598585, 0.809586, 0.351490]
pca: [[-0.358328, 0.303861, 0.626411, -0.249016, 0.326524, -0.343038, 0.317140, 0.000000, 0.000000, 0.000000], [0.316069, 0.096054, -0.176802, 0.006689, 0.689132, -0.374138, -0.494659, 0.000000, 0.000000, 0.000000], [0.607747, -0.511967, 0.194656, -0.407872, 0.142282, 0.046826, 0.376625, 0.000000, 0.000000, 0.000000], [-0.085311, 0.168939, -0.141068, 0.159248, 0.578375, 0.700047, 0.307145, 0.000000, 0.000000, 0.000000], [0.346928, 0.535657, -0.419679, 0.064349, -0.126351, -0.319790, 0.542412, 0.000000, 0.000000, 0.000000], [0.490203, 0.253536, 0.582706, 0.551824, -0.123843, 0.145986, -0.121304, 0.000000, 0.000000, 0.000000], [-0.185497, -0.506539, -0.053692, 0.661496, 0.180043, -0.355682, 0.331097, 0.000000, 0.000000, 0.000000]]
fourier: [[8.268841, 9.159612, 9.387675, 10.107443, 132.221275], [7.425792, 7.584323, 7.858835, 8.898126, 36.228432], [14.522040, 15.351776, 15.951309, 16.363252, 67.061370], [2.337086, 2.489970, 2.495946, 2.496267, 3.225713], [9.054390, 9.246340, 9.327987, 10.039449, 63.131200], [11.628864, 11.919940, 11.977348, 12.440740, 13.155280], [5.089919, 5.197255, 5.401446, 5.991855, 60.580796]]
### 6
mean: [0.991713, -0.038325, 0.242254, 0.261548, 0.071459, -0.604650, -1.373794]
std: [0.692583, 1.002421, 0.405339, 0.782280, 0.457525, 0.639649, 0.668267]
pca: [[-0.381026, 0.275289, 0.352009, -0.225254, 0.721720, 0.023243, 0.288036, 0.000000, 0.000000, 0.000000], [0.553465, 0.135445, 0.212723, -0.254427, -0.189623, 0.434174, 0.583852, 0.000000, 0.000000, 0.000000], [0.220232, 0.191334, 0.812270, 0.120661, -0.182893, -0.338398, -0.304276, 0.000000, 0.000000, 0.000000], [0.429591, -0.401136, -0.008953, -0.553922, 0.387612, 0.023221, -0.443677, 0.000000, 0.000000, 0.000000], [-0.246878, 0.478174, 0.002357, -0.264181, -0.215894, 0.586953, -0.499479, 0.000000, 0.000000, 0.000000], [0.344466, 0.682710, -0.411062, -0.150183, 0.099852, -0.461666, -0.024853, 0.000000, 0.000000, 0.000000], [0.368564, 0.116655, -0.044695, 0.686143, 0.450433, 0.371822, -0.191367, 0.000000, 0.000000, 0.000000]]
fourier: [[9.494666, 10.052598, 10.333299, 10.714058, 89.254210], [13.155692, 13.798814, 14.317888, 15.087437, 15.668401], [5.639631, 5.845341, 6.154097, 6.840989, 21.802891], [10.926852, 11.297535, 11.618281, 12.420337, 23.539301], [6.481177, 6.641950, 6.702187, 6.714479, 7.465209], [8.926509, 8.995319, 9.613015, 9.665487, 54.418509], [9.187131, 9.518756, 10.104083, 10.385133, 123.641440]]
### 8
mean: [0.781643, -1.027883, 0.630386, 0.069367, -0.135475, -0.274012, -0.166052]
std: [0.594478, 0.472586, 0.834742, 0.169736, 0.404833, 0.272222, 0.229825]
pca: [[0.470331, -0.499236, -0.266642, -0.181467, 0.366397, -0.371144, 0.391827, 0.000000, 0.000000, 0.000000], [0.358432, 0.707243, 0.111832, -0.354485, -0.152118, -0.077435, 0.451698, 0.000000, 0.000000, 0.000000], [0.671984, -0.163051, 0.055196, 0.442018, -0.410877, 0.392884, -0.015733, 0.000000, 0.000000, 0.000000], [-0.126583, -0.235793, 0.870715, 0.145853, 0.052971, -0.097572, 0.369640, 0.000000, 0.000000, 0.000000], [-0.325491, 0.071513, -0.352541, 0.556437, -0.319437, -0.303721, 0.510634, 0.000000, 0.000000, 0.000000], [0.206213, 0.404034, 0.065438, 0.561351, 0.645794, -0.157669, -0.181456, 0.000000, 0.000000, 0.000000], [-0.185100, -0.005335, -0.163208, 0.004322, 0.389740, 0.758466, 0.460310, 0.000000, 0.000000, 0.000000]]
fourier: [[8.513599, 8.670217, 8.906319, 11.459985, 70.347864], [6.619983, 6.633037, 6.659558, 6.908647, 92.509444], [12.069968, 12.104831, 12.619147, 15.296147, 56.734725], [2.271451, 2.462747, 2.512817, 2.580112, 6.243049], [5.825433, 6.018836, 6.087492, 7.260732, 12.192735], [3.847981, 3.858179, 3.892646, 4.003777, 24.661057], [3.331223, 3.377490, 3.459386, 4.122633, 14.944664]]
### 10
mean: [-0.727229]
std: [0.537633]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.772001, 7.865674, 7.952259, 10.672971, 65.450657]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
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7.952259301335984, 10.672971200474496, 65.4506567120552]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.240672, -0.13832, -0.445899, -0.294155, -0.417382], [-0.255654, 0.230931, -0.043158, 0.491695, 0.497567], [0.104367, -0.143091, 0.177172, -0.244504, 0.142488], [-0.070252, -0.116324, -0.39701, -0.014624, -0.23215], [-0.172745, 0.217159, -0.182695, -0.488935, -0.551544], [-0.07237, -0.191311, -0.066521, -0.197944, -0.328425], [-0.160038, -0.442728, -0.048198, 0.41204, 0.172084]], "network.0.bias": [-0.29432, 0.131571, 0.43774, -0.306547, -0.242187, -0.186675, 0.039557], "network.2.weight": [[-0.3604, -0.072121, -0.030683, -0.244235, -0.463462, -0.142384, 0.538209], [-0.052858, -0.301686, 0.242399, 0.103631, 0.215055, 0.1115, 0.12137], [0.275038, 0.256941, -0.284672, 0.495927, 0.231114, 0.241159, 0.001836], [-0.410782, -0.091196, 0.332813, 0.237598, 0.036964, -0.174802, -0.135962], [-0.260707, 0.378903, -0.350121, 0.39521, -0.049538, 0.200027, -0.07977], [0.734414, 0.579516, -0.14142, 0.083033, 0.186188, 0.466614, -0.512106], [0.335662, 0.378328, 0.052553, -0.200891, 0.490277, -0.249296, -0.085951]], "network.2.bias": [0.434599, -0.553761, -0.398414, -0.382014, 0.459431, -0.136065, 0.335905], "network.4.weight": [[0.195056, 0.209862, 0.272774, -0.121555, -0.498468, 0.005718, -0.5943], [-0.199821, -0.162387, -0.152939, 0.167251, 0.208275, 0.422996, 0.181165], [-0.119066, -0.017658, 0.492608, 0.112025, 0.432466, 0.342961, 0.563321], [0.020116, 0.448304, -0.291329, -0.189843, -0.128601, 0.0466, -0.066736], [-0.659031, -0.233532, -0.274813, 0.411005, 0.354361, 0.451159, 0.143224], [-0.601816, 0.345489, 0.624629, -0.074756, 0.366565, 0.536457, -0.030925], [0.497041, -0.219778, -0.145616, -0.221749, 0.005683, -0.345635, -0.012106]], "network.4.bias": [-0.62643, -0.068747, -0.244389, 0.144833, 0.344839, -0.165323, 0.607297], "network.6.weight": [[-0.216503, 0.163464, 0.238324, 0.378562, 0.425364, 0.314363, 0.152034], [-0.170046, -0.004098, -0.602114, 0.114113, -0.022158, -0.526047, 0.216385], [-0.757589, 0.100684, -0.35512, 0.322396, -0.003854, 0.00201, 0.212304], [-0.088292, -0.59404, -0.16498, 0.26169, 0.181523, -0.430107, 0.625122], [-0.051429, 0.601332, -0.005991, 0.081643, 0.264441, -0.006348, -0.125372], [-0.116567, 0.012558, -0.450396, 0.1463, 0.291886, -0.647734, -0.325631], [0.683886, -0.117897, -0.455436, -0.438425, -0.56774, -0.04112, -0.527184]], "network.6.bias": [0.337568, 0.401169, 0.269204, 0.232674, -0.215443, -0.133581, -0.312118], "network.8.weight": [[-0.147193, 0.671316, 0.388231, 0.37225, -0.275162, 0.207306, -0.737547], [-0.600099, -0.259662, 0.631693, -0.197535, -0.121585, -0.356977, 0.649896], [-0.326858, 0.833701, 0.097987, 0.433531, -0.644952, -0.169207, -0.790417], [0.316067, 0.431731, -0.327262, -0.175998, -0.309034, 0.383653, 0.329122], [0.206627, -0.625229, -0.2237, 0.161805, 0.257932, 0.082949, 0.456759], [-0.399491, -0.327661, -0.11983, 0.205694, -0.060487, 0.416728, 0.197429], [-0.009857, -0.23062, -0.225181, -0.017094, 0.351776, 0.163456, 0.276798]], "network.8.bias": [0.505958, -0.459754, 0.504531, -0.062147, -0.141168, 0.170643, -0.039589], "network.10.weight": [[-0.242073, 0.219573, -0.558248, 0.120862, 0.324377, -0.117993, 0.072201]], "network.10.bias": [-0.172294]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6926624774932861, "train_acc": 0.495, "val_loss": 0.688981831073761, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6902424991130829, "train_acc": 0.51, "val_loss": 0.6527982950210571, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6704088449478149, "train_acc": 0.535, "val_loss": 0.5846710801124573, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.8841416537761688, "train_acc": 0.66, "val_loss": 0.5841535925865173, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5895341634750366, "train_acc": 0.69, "val_loss": 0.6127145886421204, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6192564368247986, "train_acc": 0.635, "val_loss": 0.6117499470710754, "val_acc": 0.66}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.6414830982685089, "train_acc": 0.615, "val_loss": 0.6081003546714783, "val_acc": 0.66}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.688981831073761, "final_val_loss": 0.6527982950210571, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5846710801124573, "final_val_loss": 0.6081003546714783, "initial_val_acc": 0.8, "final_val_acc": 0.66, "best_val_acc": 0.8, "best_epoch": 2}, "improvement": 0.34, "first_improvement_epoch": 1}}
|
121
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.56, "improved_accuracy": 0.78, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4366, "learning_rate": 0.09229432792759958, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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-0.481508,
0.029241,
-0.229802,
0.873795
],
[
0.630944,
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-0.460133,
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0.990313
],
[
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-0.047203,
-0.290421
],
[
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],
[
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1.325117
],
[
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]
],
"network.0.bias": [
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"network.2.weight": [
[
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[
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[
0.730005,
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[
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[
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[
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],
"network.2.bias": [
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"network.4.weight": [
[
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[
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[
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[
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[
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[
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"network.6.weight": [
[
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[
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[
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[
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"network.6.bias": [
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"network.8.weight": [
[
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[
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[
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[
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[
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],
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"network.10.weight": [
[
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],
"network.10.bias": [
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}
## Activation Signature
### 0
mean: [0.411972, 0.777200, -1.776483, -2.905058, 1.214105, 2.072189]
std: [2.538804, 2.336927, 1.177197, 1.634160, 2.958248, 2.238468]
pca: [[0.525279, 0.059502, 0.610886, 0.105284, -0.515888, -0.264829, 0.000000, 0.000000, 0.000000, 0.000000], [0.475263, -0.008582, -0.425878, 0.682093, 0.249089, -0.255701, 0.000000, 0.000000, 0.000000, 0.000000], [-0.057840, -0.430371, 0.154316, 0.475045, -0.199759, 0.722530, 0.000000, 0.000000, 0.000000, 0.000000], [-0.144001, -0.570264, 0.481012, 0.064311, 0.547364, -0.344888, 0.000000, 0.000000, 0.000000, 0.000000], [0.624481, 0.105235, 0.129034, -0.360975, 0.491787, 0.458413, 0.000000, 0.000000, 0.000000, 0.000000], [-0.290086, 0.689124, 0.416666, 0.404421, 0.300747, 0.115512, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.925294, 42.090302, 43.020651, 45.592513, 58.116752], [38.423478, 45.311522, 45.840078, 47.103083, 69.947990], [17.534181, 18.230892, 19.758603, 24.367040, 159.883436], [27.104106, 28.522997, 29.601310, 31.559421, 261.455247], [47.763454, 48.200204, 59.993288, 60.693132, 109.269461], [38.030597, 38.448681, 38.831111, 39.125183, 186.497019]]
### 2
mean: [2.151330, -1.698589, 2.023020, -1.482499, -2.494799, 1.862471]
std: [4.962267, 0.863766, 4.400153, 0.901175, 1.169803, 5.452541]
pca: [[0.575118, -0.110865, 0.193033, -0.174498, 0.150507, 0.752718, 0.000000, 0.000000, 0.000000, 0.000000], [-0.060688, 0.467292, -0.127414, 0.751818, 0.366861, 0.248804, 0.000000, 0.000000, 0.000000, 0.000000], [0.509478, -0.123045, -0.427846, -0.095794, 0.585000, -0.436851, 0.000000, 0.000000, 0.000000, 0.000000], [-0.086254, 0.274991, 0.765103, -0.206641, 0.483640, -0.234412, 0.000000, 0.000000, 0.000000, 0.000000], [0.025543, 0.784512, -0.320160, -0.511553, -0.113711, 0.082283, 0.000000, 0.000000, 0.000000, 0.000000], [0.630790, 0.251254, 0.274894, 0.301258, -0.503684, -0.344897, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[73.902428, 88.864350, 96.548607, 106.537511, 193.619761], [13.156871, 13.717962, 14.942125, 18.994296, 152.872962], [66.057199, 77.532536, 86.422806, 96.206352, 182.071788], [15.293627, 16.131210, 17.367257, 19.726766, 133.424909], [17.476312, 20.965854, 23.403022, 24.139965, 224.531952], [75.382203, 102.727053, 104.157707, 115.301002, 167.622373]]
### 4
mean: [4.146792, -2.134607, 5.696353, -1.459682, -2.596229, 5.238036]
std: [7.369329, 2.808729, 9.247712, 3.067883, 3.686859, 8.627183]
pca: [[0.470685, -0.365612, -0.563286, -0.153530, 0.482257, 0.267111, 0.000000, 0.000000, 0.000000, 0.000000], [-0.179365, 0.264725, -0.155735, 0.335019, -0.173137, 0.855150, 0.000000, 0.000000, 0.000000, 0.000000], [0.590673, -0.428696, 0.270499, 0.382442, -0.494746, 0.055866, 0.000000, 0.000000, 0.000000, 0.000000], [-0.195956, -0.050378, -0.351619, 0.812149, 0.203876, -0.366436, 0.000000, 0.000000, 0.000000, 0.000000], [-0.235402, -0.408403, 0.619088, 0.154969, 0.558453, 0.242152, 0.000000, 0.000000, 0.000000, 0.000000], [0.550978, 0.665686, 0.279963, 0.185276, 0.373152, -0.036557, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[119.711085, 120.005782, 131.706899, 157.077802, 373.211296], [45.701016, 45.765212, 49.881563, 59.464875, 192.114586], [150.300204, 150.316694, 165.281968, 196.841204, 512.671810], [49.603238, 49.808656, 55.248559, 65.615614, 131.371379], [59.497035, 59.605648, 67.231453, 79.923229, 233.660631], [139.114363, 139.780136, 156.579607, 185.847772, 471.423296]]
### 6
mean: [9.493547, -1.695917, -3.143444, 7.974346, -0.403539, -2.930753]
std: [16.311771, 2.305083, 4.330153, 12.401048, 0.084065, 4.129385]
pca: [[0.759741, -0.385647, 0.344340, 0.321031, -0.180282, -0.141202, 0.000000, 0.000000, 0.000000, 0.000000], [-0.107302, 0.578414, 0.618072, 0.049353, -0.507303, 0.110078, 0.000000, 0.000000, 0.000000, 0.000000], [-0.201675, -0.385800, -0.131708, 0.284827, -0.364888, 0.760834, 0.000000, 0.000000, 0.000000, 0.000000], [0.577588, 0.528903, -0.518482, -0.084809, -0.089559, 0.320339, 0.000000, 0.000000, 0.000000, 0.000000], [-0.003537, 0.260692, 0.217090, 0.590465, 0.679276, 0.273559, 0.000000, 0.000000, 0.000000, 0.000000], [-0.192321, 0.142030, -0.407576, 0.676414, -0.327966, -0.460027, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[263.903352, 265.261566, 290.559834, 347.780965, 854.419211], [37.497219, 37.815767, 39.805860, 48.797797, 152.632556], [70.213056, 70.219332, 77.406629, 92.706199, 282.909934], [201.079579, 201.502528, 220.310679, 265.227693, 717.691177], [1.263368, 1.420089, 1.435825, 1.551779, 36.318469], [66.977319, 67.119131, 73.749392, 87.906234, 263.767774]]
### 8
mean: [-11.072280, 4.201765, -3.152889, 7.476426, -5.971853, -1.248818]
std: [17.750614, 7.994680, 4.896610, 13.188061, 9.144147, 1.294205]
pca: [[0.689807, 0.198831, 0.478280, 0.278520, -0.148829, -0.395168, 0.000000, 0.000000, 0.000000, 0.000000], [-0.310656, 0.748439, -0.163769, 0.484670, -0.273982, 0.080877, 0.000000, 0.000000, 0.000000, 0.000000], [0.190277, -0.366902, -0.034751, 0.710963, 0.215532, 0.525403, 0.000000, 0.000000, 0.000000, 0.000000], [-0.512502, -0.043149, 0.845154, 0.049637, 0.078875, 0.111850, 0.000000, 0.000000, 0.000000, 0.000000], [0.355346, 0.349312, 0.168843, -0.423343, -0.082141, 0.732964, 0.000000, 0.000000, 0.000000, 0.000000], [0.050254, 0.376575, -0.020679, -0.019253, 0.918347, -0.107269, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[287.092541, 288.641631, 314.680300, 379.062759, 996.505241], [128.479299, 130.223902, 140.965314, 170.050667, 378.158858], [78.782406, 79.736678, 86.423686, 104.229057, 283.759972], [213.196333, 214.479708, 233.701280, 281.547161, 672.878358], [148.136976, 148.621461, 162.328700, 195.465727, 537.466658], [20.927637, 21.282363, 23.259187, 27.901789, 112.393617]]
### 10
mean: [-5.610586]
std: [10.500212]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[170.057673, 171.273578, 183.015798, 223.989247, 504.952768]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.799994,
-0.481508,
0.029241,
-0.229802,
0.873795
],
[
0.630944,
0.049158,
-0.460133,
-0.36065,
0.990313
],
[
0.158046,
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-0.047203,
-0.290421
],
[
-0.046994,
-0.484616,
-0.274058,
-0.103881,
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],
[
0.577106,
-0.324701,
0.01041,
-0.378148,
1.325117
],
[
-0.188364,
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0.714318,
0.160589,
-0.702315
]
],
"network.0.bias": [
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0.137492
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[
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[
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0.045834,
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[
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[
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[
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0.099376,
0.006435,
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],
"network.2.bias": [
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"network.4.weight": [
[
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],
[
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],
[
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1.021199
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[
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"network.4.bias": [
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"network.6.bias": [
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"network.8.weight": [
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],
"network.8.bias": [
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],
"network.10.weight": [
[
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],
"network.10.bias": [
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}
## Activation Signature
### 0
mean: [0.411972, 0.777200, -1.776483, -2.905058, 1.214105, 2.072189]
std: [2.538804, 2.336927, 1.177197, 1.634160, 2.958248, 2.238468]
pca: [[0.525279, 0.059502, 0.610886, 0.105284, -0.515888, -0.264829, 0.000000, 0.000000, 0.000000, 0.000000], [0.475263, -0.008582, -0.425878, 0.682093, 0.249089, -0.255701, 0.000000, 0.000000, 0.000000, 0.000000], [-0.057840, -0.430371, 0.154316, 0.475045, -0.199759, 0.722530, 0.000000, 0.000000, 0.000000, 0.000000], [-0.144001, -0.570264, 0.481012, 0.064311, 0.547364, -0.344888, 0.000000, 0.000000, 0.000000, 0.000000], [0.624481, 0.105235, 0.129034, -0.360975, 0.491787, 0.458413, 0.000000, 0.000000, 0.000000, 0.000000], [-0.290086, 0.689124, 0.416666, 0.404421, 0.300747, 0.115512, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.925294, 42.090302, 43.020651, 45.592513, 58.116752], [38.423478, 45.311522, 45.840078, 47.103083, 69.947990], [17.534181, 18.230892, 19.758603, 24.367040, 159.883436], [27.104106, 28.522997, 29.601310, 31.559421, 261.455247], [47.763454, 48.200204, 59.993288, 60.693132, 109.269461], [38.030597, 38.448681, 38.831111, 39.125183, 186.497019]]
### 2
mean: [2.151330, -1.698589, 2.023020, -1.482499, -2.494799, 1.862471]
std: [4.962267, 0.863766, 4.400153, 0.901175, 1.169803, 5.452541]
pca: [[0.575118, -0.110865, 0.193033, -0.174498, 0.150507, 0.752718, 0.000000, 0.000000, 0.000000, 0.000000], [-0.060688, 0.467292, -0.127414, 0.751818, 0.366861, 0.248804, 0.000000, 0.000000, 0.000000, 0.000000], [0.509478, -0.123045, -0.427846, -0.095794, 0.585000, -0.436851, 0.000000, 0.000000, 0.000000, 0.000000], [-0.086254, 0.274991, 0.765103, -0.206641, 0.483640, -0.234412, 0.000000, 0.000000, 0.000000, 0.000000], [0.025543, 0.784512, -0.320160, -0.511553, -0.113711, 0.082283, 0.000000, 0.000000, 0.000000, 0.000000], [0.630790, 0.251254, 0.274894, 0.301258, -0.503684, -0.344897, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[73.902428, 88.864350, 96.548607, 106.537511, 193.619761], [13.156871, 13.717962, 14.942125, 18.994296, 152.872962], [66.057199, 77.532536, 86.422806, 96.206352, 182.071788], [15.293627, 16.131210, 17.367257, 19.726766, 133.424909], [17.476312, 20.965854, 23.403022, 24.139965, 224.531952], [75.382203, 102.727053, 104.157707, 115.301002, 167.622373]]
### 4
mean: [4.146792, -2.134607, 5.696353, -1.459682, -2.596229, 5.238036]
std: [7.369329, 2.808729, 9.247712, 3.067883, 3.686859, 8.627183]
pca: [[0.470685, -0.365612, -0.563286, -0.153530, 0.482257, 0.267111, 0.000000, 0.000000, 0.000000, 0.000000], [-0.179365, 0.264725, -0.155735, 0.335019, -0.173137, 0.855150, 0.000000, 0.000000, 0.000000, 0.000000], [0.590673, -0.428696, 0.270499, 0.382442, -0.494746, 0.055866, 0.000000, 0.000000, 0.000000, 0.000000], [-0.195956, -0.050378, -0.351619, 0.812149, 0.203876, -0.366436, 0.000000, 0.000000, 0.000000, 0.000000], [-0.235402, -0.408403, 0.619088, 0.154969, 0.558453, 0.242152, 0.000000, 0.000000, 0.000000, 0.000000], [0.550978, 0.665686, 0.279963, 0.185276, 0.373152, -0.036557, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[119.711085, 120.005782, 131.706899, 157.077802, 373.211296], [45.701016, 45.765212, 49.881563, 59.464875, 192.114586], [150.300204, 150.316694, 165.281968, 196.841204, 512.671810], [49.603238, 49.808656, 55.248559, 65.615614, 131.371379], [59.497035, 59.605648, 67.231453, 79.923229, 233.660631], [139.114363, 139.780136, 156.579607, 185.847772, 471.423296]]
### 6
mean: [9.493547, -1.695917, -3.143444, 7.974346, -0.403539, -2.930753]
std: [16.311771, 2.305083, 4.330153, 12.401048, 0.084065, 4.129385]
pca: [[0.759741, -0.385647, 0.344340, 0.321031, -0.180282, -0.141202, 0.000000, 0.000000, 0.000000, 0.000000], [-0.107302, 0.578414, 0.618072, 0.049353, -0.507303, 0.110078, 0.000000, 0.000000, 0.000000, 0.000000], [-0.201675, -0.385800, -0.131708, 0.284827, -0.364888, 0.760834, 0.000000, 0.000000, 0.000000, 0.000000], [0.577588, 0.528903, -0.518482, -0.084809, -0.089559, 0.320339, 0.000000, 0.000000, 0.000000, 0.000000], [-0.003537, 0.260692, 0.217090, 0.590465, 0.679276, 0.273559, 0.000000, 0.000000, 0.000000, 0.000000], [-0.192321, 0.142030, -0.407576, 0.676414, -0.327966, -0.460027, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[263.903352, 265.261566, 290.559834, 347.780965, 854.419211], [37.497219, 37.815767, 39.805860, 48.797797, 152.632556], [70.213056, 70.219332, 77.406629, 92.706199, 282.909934], [201.079579, 201.502528, 220.310679, 265.227693, 717.691177], [1.263368, 1.420089, 1.435825, 1.551779, 36.318469], [66.977319, 67.119131, 73.749392, 87.906234, 263.767774]]
### 8
mean: [-11.072280, 4.201765, -3.152889, 7.476426, -5.971853, -1.248818]
std: [17.750614, 7.994680, 4.896610, 13.188061, 9.144147, 1.294205]
pca: [[0.689807, 0.198831, 0.478280, 0.278520, -0.148829, -0.395168, 0.000000, 0.000000, 0.000000, 0.000000], [-0.310656, 0.748439, -0.163769, 0.484670, -0.273982, 0.080877, 0.000000, 0.000000, 0.000000, 0.000000], [0.190277, -0.366902, -0.034751, 0.710963, 0.215532, 0.525403, 0.000000, 0.000000, 0.000000, 0.000000], [-0.512502, -0.043149, 0.845154, 0.049637, 0.078875, 0.111850, 0.000000, 0.000000, 0.000000, 0.000000], [0.355346, 0.349312, 0.168843, -0.423343, -0.082141, 0.732964, 0.000000, 0.000000, 0.000000, 0.000000], [0.050254, 0.376575, -0.020679, -0.019253, 0.918347, -0.107269, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[287.092541, 288.641631, 314.680300, 379.062759, 996.505241], [128.479299, 130.223902, 140.965314, 170.050667, 378.158858], [78.782406, 79.736678, 86.423686, 104.229057, 283.759972], [213.196333, 214.479708, 233.701280, 281.547161, 672.878358], [148.136976, 148.621461, 162.328700, 195.465727, 537.466658], [20.927637, 21.282363, 23.259187, 27.901789, 112.393617]]
### 10
mean: [-5.610586]
std: [10.500212]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[170.057673, 171.273578, 183.015798, 223.989247, 504.952768]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6938254833221436, "train_acc": 0.5, "val_loss": 0.6868581175804138, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6834960877895355, "train_acc": 0.55, "val_loss": 0.6811876893043518, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6737189292907715, "train_acc": 0.55, "val_loss": 0.6242114305496216, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.62603560090065, "train_acc": 0.485, "val_loss": 0.5128186941146851, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5424516499042511, "train_acc": 0.595, "val_loss": 0.4955670237541199, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5100706219673157, "train_acc": 0.76, "val_loss": 0.5533279776573181, "val_acc": 0.66}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5035277307033539, "train_acc": 0.755, "val_loss": 0.48236510157585144, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.46618402004241943, "train_acc": 0.78, "val_loss": 0.43917542695999146, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4699070304632187, "train_acc": 0.795, "val_loss": 0.44126665592193604, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.43009866774082184, "train_acc": 0.815, "val_loss": 0.44538772106170654, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.42607758939266205, "train_acc": 0.8, "val_loss": 0.44542065262794495, "val_acc": 0.78}], "summary": {"total_epochs": 11, "degraded_epochs": 3, "improved_epochs": 8, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6868581175804138, "final_val_loss": 0.6242114305496216, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.5128186941146851, "final_val_loss": 0.44542065262794495, "initial_val_acc": 0.56, "final_val_acc": 0.78, "best_val_acc": 0.78, "best_epoch": 7}, "improvement": 0.21999999999999997, "first_improvement_epoch": 2}}
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122
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{"target_pattern": "sorted_descending", "degraded_accuracy": 0.48, "improved_accuracy": 0.98, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9845, "learning_rate": 0.08172799291554145, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
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## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.6.weight": [
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"network.8.weight": [
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"network.10.weight": [
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"network.12.weight": [
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [-0.441724, 0.906336, 0.454062, 0.494420, 0.006762, 0.483605, -0.399989, 0.113387]
std: [1.407498, 1.511362, 1.961905, 1.548394, 1.893736, 1.809900, 1.018944, 2.217703]
pca: [[0.109263, 0.414230, -0.464974, 0.274647, 0.274321, -0.459004, -0.362803, 0.327537, 0.000000, 0.000000], [0.011462, 0.465843, 0.503704, -0.288661, -0.353822, 0.060246, -0.195994, 0.527810, 0.000000, 0.000000], [0.288857, 0.555263, 0.259130, -0.048362, 0.558778, 0.257129, 0.099104, -0.388057, 0.000000, 0.000000], [0.426954, 0.083818, -0.039335, -0.078700, -0.133859, -0.408963, 0.770678, 0.154374, 0.000000, 0.000000], [0.495586, -0.096320, -0.481257, -0.252326, -0.026237, 0.602454, -0.056964, 0.288020, 0.000000, 0.000000], [0.502226, -0.036836, 0.018407, -0.239844, -0.378771, -0.320711, -0.432583, -0.505072, 0.000000, 0.000000], [0.192472, 0.187185, 0.052949, 0.802969, -0.439011, 0.278255, 0.047019, -0.089370, 0.000000, 0.000000], [0.432805, -0.500389, 0.476063, 0.258378, 0.364034, -0.095329, -0.183334, 0.306066, 0.000000, 0.000000]]
fourier: [[24.025574, 24.648982, 26.511803, 28.012571, 39.755162], [22.477669, 24.715228, 26.506892, 28.291044, 81.570276], [30.097074, 32.403678, 33.627075, 40.865600, 44.712537], [24.055704, 24.420339, 25.035941, 29.492495, 44.497758], [28.039748, 29.114845, 29.320097, 30.134194, 33.034431], [25.333437, 26.576921, 29.055374, 31.512388, 43.524488], [17.351467, 18.750776, 20.192464, 23.543718, 35.999000], [33.271358, 35.006355, 35.187959, 36.389733, 55.291638]]
### 2
mean: [2.503715, 3.340882, -0.881797, 4.454054, -1.075842, -1.369179, -2.023584, -0.558942]
std: [2.411412, 3.073109, 1.374561, 3.660226, 1.446922, 1.968445, 1.950323, 1.096314]
pca: [[0.404785, -0.048658, 0.083052, -0.129716, -0.129948, -0.287908, -0.099355, 0.836904, 0.000000, 0.000000], [0.516068, -0.021436, 0.140160, 0.280910, 0.076244, 0.557291, 0.562019, 0.049054, 0.000000, 0.000000], [-0.124521, -0.473965, -0.366484, -0.277394, 0.530523, -0.216218, 0.460986, 0.088765, 0.000000, 0.000000], [0.607368, -0.242667, 0.137760, 0.197419, 0.183466, -0.482194, -0.207213, -0.452942, 0.000000, 0.000000], [-0.065152, 0.573893, 0.389476, -0.034158, 0.703875, -0.092485, -0.010604, 0.097152, 0.000000, 0.000000], [-0.261851, -0.495823, 0.177786, 0.537843, 0.299615, 0.242382, -0.394151, 0.246654, 0.000000, 0.000000], [-0.311280, -0.209559, 0.687736, 0.064954, -0.269283, -0.334327, 0.443993, -0.023926, 0.000000, 0.000000], [-0.125361, 0.307463, -0.404832, 0.702624, -0.066809, -0.384963, 0.257332, 0.115330, 0.000000, 0.000000]]
fourier: [[34.865566, 42.806338, 45.471495, 45.593977, 225.334320], [45.572903, 55.317592, 56.948166, 58.140668, 300.679420], [20.502979, 20.582305, 21.351908, 22.413560, 79.361733], [52.892477, 64.997907, 69.317046, 69.887673, 400.864896], [24.535136, 25.155591, 25.768932, 26.786856, 96.825800], [28.693775, 29.624098, 32.057537, 40.037868, 123.226147], [27.990944, 28.815224, 32.058783, 42.248274, 182.122597], [16.328421, 17.016295, 17.893865, 19.869832, 50.304740]]
### 4
mean: [4.531848, -5.270288, -5.620536, 4.050380, -1.483959, 2.098390, -3.514928, -1.847109]
std: [4.346752, 3.659160, 4.000134, 3.021495, 1.793829, 2.182184, 2.177224, 1.489380]
pca: [[0.512340, 0.380025, 0.365704, -0.166579, 0.146524, -0.514570, 0.116856, 0.362897, 0.000000, 0.000000], [-0.432062, 0.191222, 0.288735, 0.205282, 0.765300, -0.049041, -0.234657, -0.089975, 0.000000, 0.000000], [-0.470846, 0.420031, 0.407258, -0.121928, -0.465104, 0.263389, -0.103647, 0.353150, 0.000000, 0.000000], [0.356758, -0.142336, 0.425509, 0.412229, 0.119822, 0.602659, 0.336420, 0.103635, 0.000000, 0.000000], [-0.209687, -0.297281, -0.220010, 0.525230, -0.031140, -0.276326, 0.027235, 0.682142, 0.000000, 0.000000], [0.251622, 0.545147, -0.224969, 0.608526, -0.207572, 0.000279, -0.355677, -0.221344, 0.000000, 0.000000], [-0.253678, 0.418560, -0.294694, 0.080881, 0.074093, -0.045607, 0.805895, -0.100160, 0.000000, 0.000000], [-0.173850, -0.248145, 0.500115, 0.304301, -0.335593, -0.470962, 0.175057, -0.447675, 0.000000, 0.000000]]
fourier: [[62.106160, 78.362857, 81.045784, 82.951381, 407.866335], [53.988489, 64.281467, 68.725646, 69.356941, 474.325872], [60.451306, 68.239262, 75.337801, 75.808098, 505.848321], [45.821039, 53.948824, 55.936001, 56.863071, 364.534229], [25.203732, 31.586765, 33.086445, 35.418944, 133.556260], [30.644550, 37.422707, 40.345533, 44.470701, 188.855125], [35.165632, 35.317941, 39.869882, 41.685035, 316.343521], [21.653795, 26.070682, 28.623964, 29.126611, 166.239805]]
### 6
mean: [-3.765155, 1.516616, 5.525216, 3.710471, 0.675237, 2.817005, 2.649798, 5.875606]
std: [2.494015, 1.853719, 5.050341, 2.570663, 0.477974, 2.734979, 2.887121, 5.548740]
pca: [[-0.265085, -0.106778, 0.608275, 0.641441, 0.160792, -0.173433, -0.058958, 0.278343, 0.000000, 0.000000], [0.195492, 0.537679, -0.082462, 0.390117, 0.161993, 0.277629, -0.530354, -0.359302, 0.000000, 0.000000], [0.537182, -0.017434, -0.328620, 0.228832, -0.168442, -0.098948, -0.174003, 0.694504, 0.000000, 0.000000], [0.272964, -0.331807, -0.066609, -0.139667, 0.779173, -0.361430, -0.199743, -0.117520, 0.000000, 0.000000], [-0.044746, -0.501086, -0.221513, 0.257564, 0.217871, 0.750715, 0.140415, 0.027331, 0.000000, 0.000000], [0.290582, -0.282947, -0.177849, 0.483973, -0.311080, -0.334867, 0.289943, -0.525993, 0.000000, 0.000000], [0.306286, 0.467648, 0.103599, 0.073691, 0.355990, 0.093334, 0.727497, 0.081481, 0.000000, 0.000000], [0.590074, -0.198140, 0.647567, -0.241849, -0.203601, 0.260769, -0.109726, -0.115004, 0.000000, 0.000000]]
fourier: [[35.129400, 44.876553, 46.161573, 47.456051, 338.863927], [25.413540, 32.377980, 35.529682, 37.225593, 136.495434], [71.172567, 91.851481, 94.540253, 94.953950, 497.269442], [38.434907, 46.655355, 47.195447, 47.565782, 333.942414], [7.118843, 8.125509, 9.409611, 10.421190, 60.771307], [40.103677, 50.014784, 50.063362, 50.926706, 253.530486], [39.783526, 51.749171, 54.875374, 56.468392, 238.481830], [78.833536, 102.168674, 103.404430, 104.504718, 528.804562]]
### 8
mean: [-6.911817, -1.417214, -10.994446, -6.598660, 7.773916, 13.676514, -7.314220, -5.891648]
std: [8.115051, 1.256720, 9.813701, 5.079700, 7.059819, 12.945623, 5.537059, 6.776275]
pca: [[-0.368860, 0.613484, -0.109929, -0.384782, -0.160463, -0.220080, 0.095464, 0.494107, 0.000000, 0.000000], [-0.057115, -0.050388, -0.372238, 0.307349, -0.529341, 0.614267, -0.115585, 0.300481, 0.000000, 0.000000], [-0.446379, -0.236259, -0.201441, -0.028536, 0.660858, 0.357732, 0.309677, 0.207194, 0.000000, 0.000000], [-0.230642, -0.591488, -0.241161, 0.160313, -0.165210, -0.612145, -0.082205, 0.322976, 0.000000, 0.000000], [0.321114, 0.165630, -0.363443, 0.290032, -0.060587, -0.190295, 0.779480, -0.075962, 0.000000, 0.000000], [0.588881, 0.072014, 0.124926, 0.184679, 0.351571, -0.012177, -0.179187, 0.665178, 0.000000, 0.000000], [-0.251835, -0.064184, 0.770426, 0.332211, -0.213087, 0.057067, 0.370483, 0.206441, 0.000000, 0.000000], [-0.308082, 0.422710, -0.096763, 0.708785, 0.239462, -0.178689, -0.312912, -0.165761, 0.000000, 0.000000]]
fourier: [[111.285258, 145.707091, 153.808958, 155.709580, 622.063474], [18.107520, 23.227605, 23.334728, 23.911573, 127.549294], [140.897646, 178.386243, 182.711861, 183.487050, 989.500061], [76.445629, 91.709462, 93.346455, 93.905374, 593.879477], [101.486815, 127.867305, 131.432864, 131.640789, 699.652445], [184.207506, 234.947405, 242.421522, 242.717707, 1230.886328], [79.301391, 99.863597, 103.007717, 103.435240, 658.279809], [92.804109, 121.970917, 128.337390, 129.522699, 530.248319]]
### 10
mean: [-10.026454, -6.175338, 10.139403, -3.047693, 1.675967, -7.779647, -5.631371, 10.991531]
std: [9.427015, 5.936777, 10.225131, 4.362778, 2.845368, 8.229057, 6.605011, 10.388024]
pca: [[-0.432625, 0.368373, -0.459635, 0.173028, 0.034531, 0.224994, 0.385026, 0.485670, 0.000000, 0.000000], [-0.272514, 0.185000, 0.712999, 0.124375, -0.301075, 0.525757, 0.000748, 0.024646, 0.000000, 0.000000], [0.469542, 0.099427, -0.007425, 0.519891, 0.229646, 0.243771, 0.497788, -0.373293, 0.000000, 0.000000], [-0.199037, -0.537500, 0.304483, -0.037724, -0.030127, -0.344450, 0.653389, 0.175713, 0.000000, 0.000000], [0.128540, 0.551021, 0.427322, -0.037328, 0.481146, -0.435249, 0.010335, 0.273507, 0.000000, 0.000000], [-0.377874, -0.097892, 0.015133, 0.774571, -0.007426, -0.364386, -0.324137, -0.097683, 0.000000, 0.000000], [-0.302977, -0.337432, 0.046404, -0.078066, 0.789161, 0.371790, -0.149661, -0.051919, 0.000000, 0.000000], [0.476844, -0.322827, 0.051153, 0.274653, -0.013606, 0.185582, -0.222429, 0.711513, 0.000000, 0.000000]]
fourier: [[134.277782, 170.927661, 176.543053, 177.082785, 902.380750], [84.266862, 108.094099, 111.466227, 112.334040, 555.780510], [142.117402, 187.468539, 194.861749, 196.950215, 912.546238], [60.670576, 81.496701, 85.768616, 88.328199, 274.292343], [39.538945, 53.436049, 56.744417, 58.788343, 150.837044], [114.582499, 151.095219, 156.775281, 158.691171, 700.168191], [91.966192, 121.914179, 127.452681, 129.728301, 506.823444], [147.101272, 188.755973, 195.160793, 196.144846, 989.237866]]
### 12
mean: [-9.044702]
std: [9.974895]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[137.807062, 183.191783, 191.202656, 194.137937, 814.023107]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [-0.441724, 0.906336, 0.454062, 0.494420, 0.006762, 0.483605, -0.399989, 0.113387]
std: [1.407498, 1.511362, 1.961905, 1.548394, 1.893736, 1.809900, 1.018944, 2.217703]
pca: [[0.109263, 0.414230, -0.464974, 0.274647, 0.274321, -0.459004, -0.362803, 0.327537, 0.000000, 0.000000], [0.011462, 0.465843, 0.503704, -0.288661, -0.353822, 0.060246, -0.195994, 0.527810, 0.000000, 0.000000], [0.288857, 0.555263, 0.259130, -0.048362, 0.558778, 0.257129, 0.099104, -0.388057, 0.000000, 0.000000], [0.426954, 0.083818, -0.039335, -0.078700, -0.133859, -0.408963, 0.770678, 0.154374, 0.000000, 0.000000], [0.495586, -0.096320, -0.481257, -0.252326, -0.026237, 0.602454, -0.056964, 0.288020, 0.000000, 0.000000], [0.502226, -0.036836, 0.018407, -0.239844, -0.378771, -0.320711, -0.432583, -0.505072, 0.000000, 0.000000], [0.192472, 0.187185, 0.052949, 0.802969, -0.439011, 0.278255, 0.047019, -0.089370, 0.000000, 0.000000], [0.432805, -0.500389, 0.476063, 0.258378, 0.364034, -0.095329, -0.183334, 0.306066, 0.000000, 0.000000]]
fourier: [[24.025574, 24.648982, 26.511803, 28.012571, 39.755162], [22.477669, 24.715228, 26.506892, 28.291044, 81.570276], [30.097074, 32.403678, 33.627075, 40.865600, 44.712537], [24.055704, 24.420339, 25.035941, 29.492495, 44.497758], [28.039748, 29.114845, 29.320097, 30.134194, 33.034431], [25.333437, 26.576921, 29.055374, 31.512388, 43.524488], [17.351467, 18.750776, 20.192464, 23.543718, 35.999000], [33.271358, 35.006355, 35.187959, 36.389733, 55.291638]]
### 2
mean: [2.503715, 3.340882, -0.881797, 4.454054, -1.075842, -1.369179, -2.023584, -0.558942]
std: [2.411412, 3.073109, 1.374561, 3.660226, 1.446922, 1.968445, 1.950323, 1.096314]
pca: [[0.404785, -0.048658, 0.083052, -0.129716, -0.129948, -0.287908, -0.099355, 0.836904, 0.000000, 0.000000], [0.516068, -0.021436, 0.140160, 0.280910, 0.076244, 0.557291, 0.562019, 0.049054, 0.000000, 0.000000], [-0.124521, -0.473965, -0.366484, -0.277394, 0.530523, -0.216218, 0.460986, 0.088765, 0.000000, 0.000000], [0.607368, -0.242667, 0.137760, 0.197419, 0.183466, -0.482194, -0.207213, -0.452942, 0.000000, 0.000000], [-0.065152, 0.573893, 0.389476, -0.034158, 0.703875, -0.092485, -0.010604, 0.097152, 0.000000, 0.000000], [-0.261851, -0.495823, 0.177786, 0.537843, 0.299615, 0.242382, -0.394151, 0.246654, 0.000000, 0.000000], [-0.311280, -0.209559, 0.687736, 0.064954, -0.269283, -0.334327, 0.443993, -0.023926, 0.000000, 0.000000], [-0.125361, 0.307463, -0.404832, 0.702624, -0.066809, -0.384963, 0.257332, 0.115330, 0.000000, 0.000000]]
fourier: [[34.865566, 42.806338, 45.471495, 45.593977, 225.334320], [45.572903, 55.317592, 56.948166, 58.140668, 300.679420], [20.502979, 20.582305, 21.351908, 22.413560, 79.361733], [52.892477, 64.997907, 69.317046, 69.887673, 400.864896], [24.535136, 25.155591, 25.768932, 26.786856, 96.825800], [28.693775, 29.624098, 32.057537, 40.037868, 123.226147], [27.990944, 28.815224, 32.058783, 42.248274, 182.122597], [16.328421, 17.016295, 17.893865, 19.869832, 50.304740]]
### 4
mean: [4.531848, -5.270288, -5.620536, 4.050380, -1.483959, 2.098390, -3.514928, -1.847109]
std: [4.346752, 3.659160, 4.000134, 3.021495, 1.793829, 2.182184, 2.177224, 1.489380]
pca: [[0.512340, 0.380025, 0.365704, -0.166579, 0.146524, -0.514570, 0.116856, 0.362897, 0.000000, 0.000000], [-0.432062, 0.191222, 0.288735, 0.205282, 0.765300, -0.049041, -0.234657, -0.089975, 0.000000, 0.000000], [-0.470846, 0.420031, 0.407258, -0.121928, -0.465104, 0.263389, -0.103647, 0.353150, 0.000000, 0.000000], [0.356758, -0.142336, 0.425509, 0.412229, 0.119822, 0.602659, 0.336420, 0.103635, 0.000000, 0.000000], [-0.209687, -0.297281, -0.220010, 0.525230, -0.031140, -0.276326, 0.027235, 0.682142, 0.000000, 0.000000], [0.251622, 0.545147, -0.224969, 0.608526, -0.207572, 0.000279, -0.355677, -0.221344, 0.000000, 0.000000], [-0.253678, 0.418560, -0.294694, 0.080881, 0.074093, -0.045607, 0.805895, -0.100160, 0.000000, 0.000000], [-0.173850, -0.248145, 0.500115, 0.304301, -0.335593, -0.470962, 0.175057, -0.447675, 0.000000, 0.000000]]
fourier: [[62.106160, 78.362857, 81.045784, 82.951381, 407.866335], [53.988489, 64.281467, 68.725646, 69.356941, 474.325872], [60.451306, 68.239262, 75.337801, 75.808098, 505.848321], [45.821039, 53.948824, 55.936001, 56.863071, 364.534229], [25.203732, 31.586765, 33.086445, 35.418944, 133.556260], [30.644550, 37.422707, 40.345533, 44.470701, 188.855125], [35.165632, 35.317941, 39.869882, 41.685035, 316.343521], [21.653795, 26.070682, 28.623964, 29.126611, 166.239805]]
### 6
mean: [-3.765155, 1.516616, 5.525216, 3.710471, 0.675237, 2.817005, 2.649798, 5.875606]
std: [2.494015, 1.853719, 5.050341, 2.570663, 0.477974, 2.734979, 2.887121, 5.548740]
pca: [[-0.265085, -0.106778, 0.608275, 0.641441, 0.160792, -0.173433, -0.058958, 0.278343, 0.000000, 0.000000], [0.195492, 0.537679, -0.082462, 0.390117, 0.161993, 0.277629, -0.530354, -0.359302, 0.000000, 0.000000], [0.537182, -0.017434, -0.328620, 0.228832, -0.168442, -0.098948, -0.174003, 0.694504, 0.000000, 0.000000], [0.272964, -0.331807, -0.066609, -0.139667, 0.779173, -0.361430, -0.199743, -0.117520, 0.000000, 0.000000], [-0.044746, -0.501086, -0.221513, 0.257564, 0.217871, 0.750715, 0.140415, 0.027331, 0.000000, 0.000000], [0.290582, -0.282947, -0.177849, 0.483973, -0.311080, -0.334867, 0.289943, -0.525993, 0.000000, 0.000000], [0.306286, 0.467648, 0.103599, 0.073691, 0.355990, 0.093334, 0.727497, 0.081481, 0.000000, 0.000000], [0.590074, -0.198140, 0.647567, -0.241849, -0.203601, 0.260769, -0.109726, -0.115004, 0.000000, 0.000000]]
fourier: [[35.129400, 44.876553, 46.161573, 47.456051, 338.863927], [25.413540, 32.377980, 35.529682, 37.225593, 136.495434], [71.172567, 91.851481, 94.540253, 94.953950, 497.269442], [38.434907, 46.655355, 47.195447, 47.565782, 333.942414], [7.118843, 8.125509, 9.409611, 10.421190, 60.771307], [40.103677, 50.014784, 50.063362, 50.926706, 253.530486], [39.783526, 51.749171, 54.875374, 56.468392, 238.481830], [78.833536, 102.168674, 103.404430, 104.504718, 528.804562]]
### 8
mean: [-6.911817, -1.417214, -10.994446, -6.598660, 7.773916, 13.676514, -7.314220, -5.891648]
std: [8.115051, 1.256720, 9.813701, 5.079700, 7.059819, 12.945623, 5.537059, 6.776275]
pca: [[-0.368860, 0.613484, -0.109929, -0.384782, -0.160463, -0.220080, 0.095464, 0.494107, 0.000000, 0.000000], [-0.057115, -0.050388, -0.372238, 0.307349, -0.529341, 0.614267, -0.115585, 0.300481, 0.000000, 0.000000], [-0.446379, -0.236259, -0.201441, -0.028536, 0.660858, 0.357732, 0.309677, 0.207194, 0.000000, 0.000000], [-0.230642, -0.591488, -0.241161, 0.160313, -0.165210, -0.612145, -0.082205, 0.322976, 0.000000, 0.000000], [0.321114, 0.165630, -0.363443, 0.290032, -0.060587, -0.190295, 0.779480, -0.075962, 0.000000, 0.000000], [0.588881, 0.072014, 0.124926, 0.184679, 0.351571, -0.012177, -0.179187, 0.665178, 0.000000, 0.000000], [-0.251835, -0.064184, 0.770426, 0.332211, -0.213087, 0.057067, 0.370483, 0.206441, 0.000000, 0.000000], [-0.308082, 0.422710, -0.096763, 0.708785, 0.239462, -0.178689, -0.312912, -0.165761, 0.000000, 0.000000]]
fourier: [[111.285258, 145.707091, 153.808958, 155.709580, 622.063474], [18.107520, 23.227605, 23.334728, 23.911573, 127.549294], [140.897646, 178.386243, 182.711861, 183.487050, 989.500061], [76.445629, 91.709462, 93.346455, 93.905374, 593.879477], [101.486815, 127.867305, 131.432864, 131.640789, 699.652445], [184.207506, 234.947405, 242.421522, 242.717707, 1230.886328], [79.301391, 99.863597, 103.007717, 103.435240, 658.279809], [92.804109, 121.970917, 128.337390, 129.522699, 530.248319]]
### 10
mean: [-10.026454, -6.175338, 10.139403, -3.047693, 1.675967, -7.779647, -5.631371, 10.991531]
std: [9.427015, 5.936777, 10.225131, 4.362778, 2.845368, 8.229057, 6.605011, 10.388024]
pca: [[-0.432625, 0.368373, -0.459635, 0.173028, 0.034531, 0.224994, 0.385026, 0.485670, 0.000000, 0.000000], [-0.272514, 0.185000, 0.712999, 0.124375, -0.301075, 0.525757, 0.000748, 0.024646, 0.000000, 0.000000], [0.469542, 0.099427, -0.007425, 0.519891, 0.229646, 0.243771, 0.497788, -0.373293, 0.000000, 0.000000], [-0.199037, -0.537500, 0.304483, -0.037724, -0.030127, -0.344450, 0.653389, 0.175713, 0.000000, 0.000000], [0.128540, 0.551021, 0.427322, -0.037328, 0.481146, -0.435249, 0.010335, 0.273507, 0.000000, 0.000000], [-0.377874, -0.097892, 0.015133, 0.774571, -0.007426, -0.364386, -0.324137, -0.097683, 0.000000, 0.000000], [-0.302977, -0.337432, 0.046404, -0.078066, 0.789161, 0.371790, -0.149661, -0.051919, 0.000000, 0.000000], [0.476844, -0.322827, 0.051153, 0.274653, -0.013606, 0.185582, -0.222429, 0.711513, 0.000000, 0.000000]]
fourier: [[134.277782, 170.927661, 176.543053, 177.082785, 902.380750], [84.266862, 108.094099, 111.466227, 112.334040, 555.780510], [142.117402, 187.468539, 194.861749, 196.950215, 912.546238], [60.670576, 81.496701, 85.768616, 88.328199, 274.292343], [39.538945, 53.436049, 56.744417, 58.788343, 150.837044], [114.582499, 151.095219, 156.775281, 158.691171, 700.168191], [91.966192, 121.914179, 127.452681, 129.728301, 506.823444], [147.101272, 188.755973, 195.160793, 196.144846, 989.237866]]
### 12
mean: [-9.044702]
std: [9.974895]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[137.807062, 183.191783, 191.202656, 194.137937, 814.023107]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7155945897102356, "train_acc": 0.425, "val_loss": 0.6745268106460571, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5869779884815216, "train_acc": 0.575, "val_loss": 0.5202475190162659, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.591579020023346, "train_acc": 0.565, "val_loss": 0.5358648300170898, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4821793735027313, "train_acc": 0.84, "val_loss": 0.47405970096588135, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.29040949046611786, "train_acc": 0.885, "val_loss": 0.1852734386920929, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2051100805401802, "train_acc": 0.93, "val_loss": 0.14890047907829285, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.25365836918354034, "train_acc": 0.925, "val_loss": 0.1256706863641739, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.19849428534507751, "train_acc": 0.925, "val_loss": 0.11130642145872116, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.21213318407535553, "train_acc": 0.93, "val_loss": 0.11123598366975784, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2007371410727501, "train_acc": 0.935, "val_loss": 0.12895961105823517, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.22253218293190002, "train_acc": 0.93, "val_loss": 0.1490512490272522, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.22712035477161407, "train_acc": 0.93, "val_loss": 0.16662047803401947, "val_acc": 0.96}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6745268106460571, "final_val_loss": 0.5202475190162659, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5358648300170898, "final_val_loss": 0.16662047803401947, "initial_val_acc": 0.84, "final_val_acc": 0.96, "best_val_acc": 0.98, "best_epoch": 7}, "improvement": 0.5, "first_improvement_epoch": 1}}
|
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{"target_pattern": "sorted_descending", "degraded_accuracy": 0.5, "improved_accuracy": 0.92, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3827, "learning_rate": 0.0961536828667146, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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-0.035456
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[
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],
[
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]
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"network.0.bias": [
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"network.2.weight": [
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1.128815,
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"network.6.weight": [
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"network.8.weight": [
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"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [-2.319780, 0.220656, -2.865667, 0.588467, -3.815863, 0.237685, 0.079104, 0.946610]
std: [2.555728, 2.175702, 1.955600, 2.023962, 2.708602, 1.833510, 2.241130, 2.539060]
pca: [[0.194714, 0.639489, -0.328951, 0.473723, -0.056938, 0.192066, 0.424472, 0.014498, 0.000000, 0.000000], [-0.384324, -0.015392, 0.482883, -0.196608, -0.302894, 0.182813, 0.671847, -0.060691, 0.000000, 0.000000], [0.309458, 0.276416, 0.288249, -0.371339, 0.728473, 0.045773, 0.163847, -0.217337, 0.000000, 0.000000], [0.271670, -0.397175, 0.244644, 0.420088, 0.048509, 0.666730, -0.091199, -0.277350, 0.000000, 0.000000], [0.425022, 0.381619, 0.526544, -0.104482, -0.422878, 0.040828, -0.330992, 0.309047, 0.000000, 0.000000], [-0.374927, 0.032331, 0.153096, 0.210454, 0.416058, 0.250789, -0.075923, 0.740872, 0.000000, 0.000000], [0.368449, -0.342421, 0.257232, 0.408302, 0.097992, -0.576959, 0.357593, 0.209181, 0.000000, 0.000000], [0.433409, -0.304520, -0.385775, -0.447936, -0.102246, 0.292612, 0.300149, 0.428707, 0.000000, 0.000000]]
fourier: [[36.475397, 37.176608, 37.222860, 62.943010, 208.780187], [30.599517, 31.315390, 32.943029, 36.857459, 42.257957], [31.356874, 32.252792, 35.007450, 38.620842, 257.910052], [30.220265, 30.473452, 30.879851, 45.199608, 52.962010], [40.202883, 41.964558, 51.465857, 53.828565, 343.427670], [29.236144, 31.064594, 32.544539, 34.996941, 37.386779], [31.167184, 32.611385, 34.475733, 35.056416, 47.503408], [38.495365, 43.252276, 48.560350, 55.861039, 85.194868]]
### 2
mean: [2.221941, -1.980474, 0.266955, -1.049949, 1.779123, -1.613476, 0.918024, -1.168050]
std: [2.853706, 2.286681, 2.243253, 2.900691, 2.804584, 1.106054, 1.721012, 1.266088]
pca: [[-0.461883, -0.287453, -0.051607, -0.357360, 0.412656, 0.614233, -0.052344, 0.152830, 0.000000, 0.000000], [0.352244, 0.500981, -0.062334, -0.161623, 0.023872, 0.208571, -0.523924, 0.525706, 0.000000, 0.000000], [-0.335215, 0.585102, 0.043107, -0.051711, 0.606706, -0.358609, 0.020167, -0.208937, 0.000000, 0.000000], [0.471953, -0.197907, 0.113942, 0.487509, 0.613624, 0.113485, 0.239551, 0.201611, 0.000000, 0.000000], [-0.452796, 0.222747, 0.249937, 0.714932, -0.209867, 0.311776, -0.162273, 0.064666, 0.000000, 0.000000], [0.133680, 0.459951, 0.174594, -0.189615, -0.184881, 0.407690, 0.709656, -0.011585, 0.000000, 0.000000], [-0.276505, -0.125368, 0.353238, -0.108147, -0.068093, -0.414388, 0.249775, 0.729804, 0.000000, 0.000000], [0.167718, -0.089387, 0.872285, -0.216920, 0.040697, 0.051016, -0.269519, -0.281150, 0.000000, 0.000000]]
fourier: [[42.463095, 43.763469, 51.549679, 56.971864, 199.974715], [37.899475, 37.956481, 40.375511, 41.963846, 178.242675], [31.666922, 38.714006, 39.920846, 42.748309, 46.484439], [46.386065, 49.455375, 51.729814, 61.011899, 94.495445], [45.372505, 46.813015, 48.648732, 62.518216, 160.121065], [17.177061, 17.890634, 18.685381, 24.331720, 145.212815], [25.805483, 26.785433, 27.530561, 36.716120, 82.622110], [22.136770, 22.385230, 23.738298, 24.193527, 105.124529]]
### 4
mean: [3.573587, 0.866894, -2.295702, -2.369442, -2.077300, -1.534873, -2.867008, 4.613148]
std: [4.032409, 1.866812, 3.658638, 1.527575, 1.992053, 0.909394, 1.732642, 5.157518]
pca: [[0.490026, 0.044303, -0.076859, -0.119019, 0.313048, 0.759942, -0.177564, -0.175494, 0.000000, 0.000000], [0.217219, 0.302195, 0.668808, -0.426589, 0.368651, -0.264607, 0.159398, 0.029714, 0.000000, 0.000000], [-0.441058, -0.321528, 0.268430, 0.354916, 0.510889, 0.302270, 0.310568, 0.235035, 0.000000, 0.000000], [-0.166692, 0.472722, 0.300221, 0.569173, 0.044251, -0.007078, -0.453036, -0.356941, 0.000000, 0.000000], [-0.239475, 0.113678, -0.483104, -0.170621, 0.531984, -0.236275, 0.161160, -0.549929, 0.000000, 0.000000], [-0.059601, 0.555898, -0.050401, 0.093169, -0.309524, 0.292128, 0.700748, -0.063343, 0.000000, 0.000000], [-0.191633, 0.507728, -0.333101, -0.117288, 0.249675, 0.030146, -0.269429, 0.667036, 0.000000, 0.000000], [0.626697, 0.011628, -0.194201, 0.549895, 0.248961, -0.344935, 0.227503, 0.185199, 0.000000, 0.000000]]
fourier: [[57.429708, 64.659663, 68.382278, 86.336876, 321.622832], [27.626711, 29.974509, 31.189618, 43.449421, 78.020487], [54.556715, 59.860790, 61.191773, 77.333775, 206.613140], [24.168108, 25.359388, 26.090888, 29.141293, 213.249783], [27.329725, 31.456917, 32.851149, 44.027925, 186.956956], [14.274271, 15.340112, 16.039437, 17.581707, 138.138581], [25.756169, 28.150667, 28.897634, 33.265242, 258.030762], [74.581859, 83.326103, 87.838392, 109.588590, 415.183343]]
### 6
mean: [-4.704861, -5.146456, 1.960220, 5.553271, 5.679701, -3.446177, -5.066175, -4.161304]
std: [4.650259, 6.668857, 2.951564, 6.706063, 6.216210, 2.701812, 6.510021, 3.192537]
pca: [[-0.314910, 0.280506, 0.074411, -0.421369, 0.025027, 0.537658, -0.530941, 0.259727, 0.000000, 0.000000], [-0.451831, -0.181248, 0.636696, -0.062543, -0.149814, -0.500973, -0.259232, -0.114392, 0.000000, 0.000000], [0.198882, 0.380535, 0.344407, 0.521028, -0.162497, 0.325102, -0.205738, -0.501127, 0.000000, 0.000000], [0.454238, 0.323713, 0.416719, 0.110081, 0.297015, -0.218057, -0.038273, 0.604875, 0.000000, 0.000000], [0.421456, -0.042665, -0.042190, -0.451909, 0.451025, -0.202784, -0.347942, -0.498943, 0.000000, 0.000000], [-0.181030, 0.464666, -0.531093, 0.247134, -0.072438, -0.491896, -0.399093, 0.041172, 0.000000, 0.000000], [-0.441374, -0.054130, 0.001640, 0.360601, 0.807307, 0.110913, 0.069041, -0.058395, 0.000000, 0.000000], [-0.213511, 0.646687, 0.113874, -0.373656, 0.043477, -0.106423, 0.567452, -0.220009, 0.000000, 0.000000]]
fourier: [[68.896848, 74.673545, 80.139025, 98.624036, 423.437502], [97.045818, 108.123319, 115.032599, 139.746659, 463.181069], [42.599289, 47.945777, 48.304535, 63.025256, 176.419813], [94.451787, 108.970485, 112.003955, 143.204581, 499.794401], [90.273162, 100.472704, 106.119988, 131.911670, 511.173161], [39.852041, 42.523937, 45.095267, 58.396651, 310.155882], [93.907029, 105.387283, 110.748755, 138.200996, 455.955687], [49.333183, 50.314596, 55.788740, 67.006561, 374.517322]]
### 8
mean: [-6.323878]
std: [7.850545]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[111.221530, 127.955901, 131.129456, 166.664270, 569.149119]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.258973,
-0.756628,
-0.898771,
0.686925,
-0.396773
],
[
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-0.666041,
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],
[
-0.564026,
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0.025405
],
[
-0.707687,
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0.70944
],
[
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],
[
0.859597,
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-0.211259,
-0.035456
],
[
-0.868506,
-0.301817,
0.415925,
-0.118592,
0.723193
],
[
-1.276507,
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0.353485,
0.325293,
0.206435
]
],
"network.0.bias": [
-0.3696,
0.318696,
-0.181881,
0.214009,
0.004172,
-0.396527,
0.203443,
0.294409
],
"network.2.weight": [
[
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0.523962,
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],
[
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-0.003915,
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-0.232362,
-0.15943,
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-0.655588
],
[
0.598411,
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],
[
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0.643897,
0.081131,
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0.006054,
0.318807,
-1.08554,
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],
[
1.128815,
-0.33089,
-0.036111,
0.294467,
-0.273041,
-0.34695,
0.755637,
0.819836
],
[
-0.004215,
-0.133368,
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],
[
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0.354571,
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[
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-0.434476,
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0.076731,
0.290451,
0.422156,
-0.457099
]
],
"network.2.bias": [
-0.050709,
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0.0446,
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],
"network.4.weight": [
[
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[
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1.00488,
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0.064663,
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],
[
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0.884209,
0.234275,
0.532412,
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0.047894,
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[
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[
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[
0.03019,
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],
[
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0.758676,
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0.229755,
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0.643276
]
],
"network.4.bias": [
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0.611528,
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],
"network.6.weight": [
[
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[
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],
[
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],
[
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[
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],
[
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]
],
"network.6.bias": [
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],
"network.8.weight": [
[
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]
],
"network.8.bias": [
0.184498
]
}
## Activation Signature
### 0
mean: [-2.319780, 0.220656, -2.865667, 0.588467, -3.815863, 0.237685, 0.079104, 0.946610]
std: [2.555728, 2.175702, 1.955600, 2.023962, 2.708602, 1.833510, 2.241130, 2.539060]
pca: [[0.194714, 0.639489, -0.328951, 0.473723, -0.056938, 0.192066, 0.424472, 0.014498, 0.000000, 0.000000], [-0.384324, -0.015392, 0.482883, -0.196608, -0.302894, 0.182813, 0.671847, -0.060691, 0.000000, 0.000000], [0.309458, 0.276416, 0.288249, -0.371339, 0.728473, 0.045773, 0.163847, -0.217337, 0.000000, 0.000000], [0.271670, -0.397175, 0.244644, 0.420088, 0.048509, 0.666730, -0.091199, -0.277350, 0.000000, 0.000000], [0.425022, 0.381619, 0.526544, -0.104482, -0.422878, 0.040828, -0.330992, 0.309047, 0.000000, 0.000000], [-0.374927, 0.032331, 0.153096, 0.210454, 0.416058, 0.250789, -0.075923, 0.740872, 0.000000, 0.000000], [0.368449, -0.342421, 0.257232, 0.408302, 0.097992, -0.576959, 0.357593, 0.209181, 0.000000, 0.000000], [0.433409, -0.304520, -0.385775, -0.447936, -0.102246, 0.292612, 0.300149, 0.428707, 0.000000, 0.000000]]
fourier: [[36.475397, 37.176608, 37.222860, 62.943010, 208.780187], [30.599517, 31.315390, 32.943029, 36.857459, 42.257957], [31.356874, 32.252792, 35.007450, 38.620842, 257.910052], [30.220265, 30.473452, 30.879851, 45.199608, 52.962010], [40.202883, 41.964558, 51.465857, 53.828565, 343.427670], [29.236144, 31.064594, 32.544539, 34.996941, 37.386779], [31.167184, 32.611385, 34.475733, 35.056416, 47.503408], [38.495365, 43.252276, 48.560350, 55.861039, 85.194868]]
### 2
mean: [2.221941, -1.980474, 0.266955, -1.049949, 1.779123, -1.613476, 0.918024, -1.168050]
std: [2.853706, 2.286681, 2.243253, 2.900691, 2.804584, 1.106054, 1.721012, 1.266088]
pca: [[-0.461883, -0.287453, -0.051607, -0.357360, 0.412656, 0.614233, -0.052344, 0.152830, 0.000000, 0.000000], [0.352244, 0.500981, -0.062334, -0.161623, 0.023872, 0.208571, -0.523924, 0.525706, 0.000000, 0.000000], [-0.335215, 0.585102, 0.043107, -0.051711, 0.606706, -0.358609, 0.020167, -0.208937, 0.000000, 0.000000], [0.471953, -0.197907, 0.113942, 0.487509, 0.613624, 0.113485, 0.239551, 0.201611, 0.000000, 0.000000], [-0.452796, 0.222747, 0.249937, 0.714932, -0.209867, 0.311776, -0.162273, 0.064666, 0.000000, 0.000000], [0.133680, 0.459951, 0.174594, -0.189615, -0.184881, 0.407690, 0.709656, -0.011585, 0.000000, 0.000000], [-0.276505, -0.125368, 0.353238, -0.108147, -0.068093, -0.414388, 0.249775, 0.729804, 0.000000, 0.000000], [0.167718, -0.089387, 0.872285, -0.216920, 0.040697, 0.051016, -0.269519, -0.281150, 0.000000, 0.000000]]
fourier: [[42.463095, 43.763469, 51.549679, 56.971864, 199.974715], [37.899475, 37.956481, 40.375511, 41.963846, 178.242675], [31.666922, 38.714006, 39.920846, 42.748309, 46.484439], [46.386065, 49.455375, 51.729814, 61.011899, 94.495445], [45.372505, 46.813015, 48.648732, 62.518216, 160.121065], [17.177061, 17.890634, 18.685381, 24.331720, 145.212815], [25.805483, 26.785433, 27.530561, 36.716120, 82.622110], [22.136770, 22.385230, 23.738298, 24.193527, 105.124529]]
### 4
mean: [3.573587, 0.866894, -2.295702, -2.369442, -2.077300, -1.534873, -2.867008, 4.613148]
std: [4.032409, 1.866812, 3.658638, 1.527575, 1.992053, 0.909394, 1.732642, 5.157518]
pca: [[0.490026, 0.044303, -0.076859, -0.119019, 0.313048, 0.759942, -0.177564, -0.175494, 0.000000, 0.000000], [0.217219, 0.302195, 0.668808, -0.426589, 0.368651, -0.264607, 0.159398, 0.029714, 0.000000, 0.000000], [-0.441058, -0.321528, 0.268430, 0.354916, 0.510889, 0.302270, 0.310568, 0.235035, 0.000000, 0.000000], [-0.166692, 0.472722, 0.300221, 0.569173, 0.044251, -0.007078, -0.453036, -0.356941, 0.000000, 0.000000], [-0.239475, 0.113678, -0.483104, -0.170621, 0.531984, -0.236275, 0.161160, -0.549929, 0.000000, 0.000000], [-0.059601, 0.555898, -0.050401, 0.093169, -0.309524, 0.292128, 0.700748, -0.063343, 0.000000, 0.000000], [-0.191633, 0.507728, -0.333101, -0.117288, 0.249675, 0.030146, -0.269429, 0.667036, 0.000000, 0.000000], [0.626697, 0.011628, -0.194201, 0.549895, 0.248961, -0.344935, 0.227503, 0.185199, 0.000000, 0.000000]]
fourier: [[57.429708, 64.659663, 68.382278, 86.336876, 321.622832], [27.626711, 29.974509, 31.189618, 43.449421, 78.020487], [54.556715, 59.860790, 61.191773, 77.333775, 206.613140], [24.168108, 25.359388, 26.090888, 29.141293, 213.249783], [27.329725, 31.456917, 32.851149, 44.027925, 186.956956], [14.274271, 15.340112, 16.039437, 17.581707, 138.138581], [25.756169, 28.150667, 28.897634, 33.265242, 258.030762], [74.581859, 83.326103, 87.838392, 109.588590, 415.183343]]
### 6
mean: [-4.704861, -5.146456, 1.960220, 5.553271, 5.679701, -3.446177, -5.066175, -4.161304]
std: [4.650259, 6.668857, 2.951564, 6.706063, 6.216210, 2.701812, 6.510021, 3.192537]
pca: [[-0.314910, 0.280506, 0.074411, -0.421369, 0.025027, 0.537658, -0.530941, 0.259727, 0.000000, 0.000000], [-0.451831, -0.181248, 0.636696, -0.062543, -0.149814, -0.500973, -0.259232, -0.114392, 0.000000, 0.000000], [0.198882, 0.380535, 0.344407, 0.521028, -0.162497, 0.325102, -0.205738, -0.501127, 0.000000, 0.000000], [0.454238, 0.323713, 0.416719, 0.110081, 0.297015, -0.218057, -0.038273, 0.604875, 0.000000, 0.000000], [0.421456, -0.042665, -0.042190, -0.451909, 0.451025, -0.202784, -0.347942, -0.498943, 0.000000, 0.000000], [-0.181030, 0.464666, -0.531093, 0.247134, -0.072438, -0.491896, -0.399093, 0.041172, 0.000000, 0.000000], [-0.441374, -0.054130, 0.001640, 0.360601, 0.807307, 0.110913, 0.069041, -0.058395, 0.000000, 0.000000], [-0.213511, 0.646687, 0.113874, -0.373656, 0.043477, -0.106423, 0.567452, -0.220009, 0.000000, 0.000000]]
fourier: [[68.896848, 74.673545, 80.139025, 98.624036, 423.437502], [97.045818, 108.123319, 115.032599, 139.746659, 463.181069], [42.599289, 47.945777, 48.304535, 63.025256, 176.419813], [94.451787, 108.970485, 112.003955, 143.204581, 499.794401], [90.273162, 100.472704, 106.119988, 131.911670, 511.173161], [39.852041, 42.523937, 45.095267, 58.396651, 310.155882], [93.907029, 105.387283, 110.748755, 138.200996, 455.955687], [49.333183, 50.314596, 55.788740, 67.006561, 374.517322]]
### 8
mean: [-6.323878]
std: [7.850545]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[111.221530, 127.955901, 131.129456, 166.664270, 569.149119]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.258973, -0.756628, -0.898771, 0.686925, -0.396773], [0.708595, 0.188101, 0.148046, -0.666041, -0.165059], [-0.564026, -0.115863, -0.513749, -0.339913, 0.025405], [-0.707687, -0.217005, 0.50901, -0.13415, 0.70944], [-0.606833, -0.661634, -0.463182, -0.386985, -0.050122], [0.859597, 0.10149, -0.059211, -0.211259, -0.035456], [-0.868506, -0.301817, 0.415925, -0.118592, 0.723193], [-1.276507, 0.301927, 0.353485, 0.325293, 0.206435]], "network.0.bias": [-0.3696, 0.318696, -0.181881, 0.214009, 0.004172, -0.396527, 0.203443, 0.294409], "network.2.weight": [[0.536534, -0.021439, 0.037627, 0.523962, -0.316393, -0.352218, 1.112163, 0.5842], [-0.605496, 0.048143, -0.003915, -0.50092, -0.232362, -0.15943, -0.879311, -0.655588], [0.598411, -0.400758, -0.048491, 0.669565, 0.031255, -0.725015, -0.12249, 0.276982], [-0.258929, 0.643897, 0.081131, -0.276792, 0.006054, 0.318807, -1.08554, -0.461775], [1.128815, -0.33089, -0.036111, 0.294467, -0.273041, -0.34695, 0.755637, 0.819836], [-0.004215, -0.133368, -0.061998, -0.500106, 0.098637, -0.210894, -0.13146, -0.385085], [0.843219, -0.279441, -0.058813, 0.264219, 0.354571, 0.032255, 0.758849, 0.301943], [0.977616, 0.041896, -0.434476, -0.573866, 0.076731, 0.290451, 0.422156, -0.457099]], "network.2.bias": [-0.050709, 0.580365, 0.0446, 0.104182, -0.132028, -0.026946, -0.423084, -0.608106], "network.4.weight": [[0.751197, 0.156477, 0.201395, -0.283584, 0.624106, 0.338816, 0.287761, 0.746389], [-0.028533, 0.364425, 1.00488, -0.526989, 0.21525, 0.160436, 0.064663, 0.991492], [-0.83087, 0.884209, 0.234275, 0.532412, -0.670375, -0.357268, 0.047894, -0.603132], [-0.518058, 0.161983, 0.33969, -0.477138, -0.329442, -0.169254, -0.000556, -0.243097], [0.092721, -0.088232, -0.331105, -0.061205, -0.533437, 0.039792, -0.524277, -0.144978], [-0.034514, -0.055592, -0.301767, -0.596364, -0.008064, -0.242113, -0.328822, -0.072389], [0.03019, -0.230855, -0.404642, -0.526311, -0.37988, -0.010692, -0.533015, -0.070428], [0.926957, -0.173384, 0.758676, -0.269507, 0.553743, 0.229755, 0.451418, 0.643276]], "network.4.bias": [-0.117978, -0.455581, 0.611528, -0.377606, -0.090774, -0.324573, -0.677259, -0.097072], "network.6.weight": [[-0.445958, -0.126103, -0.107532, 0.179623, 0.078596, 0.039809, -0.267185, -0.55239], [-0.436861, 0.621866, 0.414196, -0.072159, -0.302548, -0.104607, 0.081774, -1.120969], [0.381711, 0.157206, -0.584498, -0.04813, 0.55966, 0.129351, 0.659915, 0.189166], [0.583365, 0.331404, -0.701889, 0.275435, 0.071417, 0.577664, 0.585314, 0.722493], [0.35254, 0.09485, -0.22817, 0.003374, 0.171092, 0.393292, 0.15936, 0.915298], [-0.218066, -0.815202, -0.316798, -0.109941, 0.073849, 0.336286, 0.14818, -0.164394], [-0.404268, -0.083069, 0.350855, 0.024199, 0.039153, -0.095061, -0.138731, -0.92547], [-0.329642, -0.259075, -0.576115, 0.247824, 0.403068, 0.574853, -0.093912, -0.35161]], "network.6.bias": [-0.224108, 0.801237, -0.273253, -0.122237, 0.020669, -0.674141, 0.759626, -0.673359], "network.8.weight": [[0.020317, 0.630818, -0.143772, -0.443753, -0.690766, -0.332948, 0.502339, -0.060425]], "network.8.bias": [0.184498]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6942681670188904, "train_acc": 0.535, "val_loss": 0.8189784288406372, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6917622089385986, "train_acc": 0.575, "val_loss": 0.6505605578422546, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6459295153617859, "train_acc": 0.5, "val_loss": 0.48259642720222473, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.41543735563755035, "train_acc": 0.905, "val_loss": 0.6242268085479736, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4542507529258728, "train_acc": 0.82, "val_loss": 0.3639609217643738, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.26445189118385315, "train_acc": 0.915, "val_loss": 0.4627029001712799, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2821332812309265, "train_acc": 0.92, "val_loss": 0.34813225269317627, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.19761505722999573, "train_acc": 0.955, "val_loss": 0.3426557779312134, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.20324449986219406, "train_acc": 0.94, "val_loss": 0.32913026213645935, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.19979414343833923, "train_acc": 0.945, "val_loss": 0.26466256380081177, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.1809627190232277, "train_acc": 0.95, "val_loss": 0.20494064688682556, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.17153377085924149, "train_acc": 0.95, "val_loss": 0.22725644707679749, "val_acc": 0.92}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.8189784288406372, "final_val_loss": 0.6505605578422546, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.48259642720222473, "final_val_loss": 0.22725644707679749, "initial_val_acc": 0.86, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 9}, "improvement": 0.42000000000000004, "first_improvement_epoch": 1}}
|
124
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.52, "improved_accuracy": 0.82, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5546, "learning_rate": 0.036889422166842364, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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]
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"network.0.bias": [
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"network.2.weight": [
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"network.2.bias": [
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"network.4.weight": [
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"network.6.weight": [
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"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [0.855387, 0.679869, 1.035279, 1.018942, -1.343674, 1.432275, -0.117079, 1.978787]
std: [1.563003, 1.607379, 1.471733, 1.864474, 1.004638, 1.386315, 1.619952, 1.391046]
pca: [[-0.218804, 0.488879, 0.579397, 0.205641, -0.266778, 0.123250, -0.102077, -0.488213, 0.000000, 0.000000], [0.479238, 0.086492, 0.270761, -0.328569, 0.560390, 0.379707, -0.340967, -0.084307, 0.000000, 0.000000], [0.371880, 0.285880, -0.003343, 0.670316, 0.213730, -0.426466, -0.231937, 0.222024, 0.000000, 0.000000], [-0.468878, 0.481017, 0.091688, -0.129562, 0.200870, 0.160651, 0.002471, 0.676328, 0.000000, 0.000000], [-0.059742, -0.303428, 0.431001, 0.315104, 0.414127, 0.098602, 0.661310, 0.027487, 0.000000, 0.000000], [0.148787, 0.517014, -0.210586, -0.364913, 0.215263, -0.402531, 0.498473, -0.276056, 0.000000, 0.000000], [0.464462, -0.021154, 0.477730, -0.278763, -0.496743, -0.182218, 0.174962, 0.409053, 0.000000, 0.000000], [0.350547, 0.283889, -0.352470, 0.271077, -0.253319, 0.654212, 0.321096, 0.059494, 0.000000, 0.000000]]
fourier: [[24.631940, 25.711265, 26.530213, 27.074627, 76.984798], [24.270898, 25.060649, 30.920354, 38.779783, 61.188181], [23.404597, 26.622269, 30.993322, 31.493042, 93.175120], [28.124364, 28.940270, 31.041780, 37.802204, 91.704779], [15.478074, 16.593333, 18.828403, 19.781014, 120.930617], [22.362768, 23.510879, 24.657186, 28.555775, 128.904722], [21.745825, 24.443481, 27.084777, 27.864530, 37.258113], [23.826757, 25.508254, 26.445230, 27.750810, 178.090788]]
### 2
mean: [-1.936671, -0.266037, -1.253563, -1.922648, -1.155455, 2.011016, -0.776376, -2.231784]
std: [1.393189, 1.482306, 0.950663, 1.237489, 0.908240, 2.379421, 0.743143, 1.344935]
pca: [[-0.291852, -0.438022, -0.560610, -0.341164, -0.393074, -0.097843, 0.181761, 0.308487, 0.000000, 0.000000], [-0.297870, 0.493973, -0.203502, -0.062768, 0.453081, 0.256849, 0.091874, 0.584993, 0.000000, 0.000000], [-0.032845, -0.401125, -0.120972, 0.019231, 0.620867, -0.496876, -0.427989, 0.086480, 0.000000, 0.000000], [-0.343176, -0.252096, -0.339728, 0.453199, 0.127368, 0.571685, -0.171493, -0.354143, 0.000000, 0.000000], [-0.280156, -0.067890, 0.116833, -0.538830, 0.395376, 0.038964, 0.455712, -0.497395, 0.000000, 0.000000], [0.724125, -0.333329, -0.120103, -0.170868, 0.250310, 0.450826, 0.157881, 0.173462, 0.000000, 0.000000], [-0.083013, -0.282803, 0.207725, 0.565947, 0.117547, -0.190086, 0.673036, 0.216236, 0.000000, 0.000000], [-0.312269, -0.379446, 0.665604, -0.184604, -0.075612, 0.331437, -0.245684, 0.324766, 0.000000, 0.000000]]
fourier: [[21.337336, 24.392982, 25.119326, 27.931614, 174.300345], [23.943314, 24.032853, 24.794741, 29.601326, 29.662013], [15.442092, 15.932195, 16.666888, 16.680347, 112.820661], [17.965087, 19.592024, 24.711539, 26.591714, 173.038304], [14.879477, 15.922289, 16.204416, 18.014733, 103.990959], [38.782429, 43.542414, 49.021713, 53.584297, 180.991473], [10.645251, 11.071932, 13.842688, 15.343367, 69.873807], [18.965322, 25.324202, 25.715622, 25.958693, 200.860510]]
### 4
mean: [-0.978696, -0.083111, -0.427156, 1.166538, -0.742723, 0.149019, 1.651829, 1.398500]
std: [0.418446, 0.824651, 0.330673, 1.414450, 0.840997, 0.206748, 1.678554, 1.414028]
pca: [[-0.139287, -0.254897, -0.273594, 0.052649, 0.349085, 0.739799, -0.312906, 0.266323, 0.000000, 0.000000], [-0.261052, 0.733684, 0.126898, 0.333404, -0.245142, 0.314379, 0.171247, 0.279362, 0.000000, 0.000000], [-0.112608, -0.134584, -0.302457, -0.243577, -0.000311, 0.248917, 0.859792, -0.131126, 0.000000, 0.000000], [0.486630, 0.377316, 0.347359, -0.188923, 0.542623, 0.251918, 0.070107, -0.318835, 0.000000, 0.000000], [-0.290140, 0.178543, -0.249067, 0.156039, 0.703810, -0.469710, 0.122151, 0.258190, 0.000000, 0.000000], [0.004566, -0.450247, 0.601386, 0.551265, 0.134686, 0.045790, 0.305259, 0.135199, 0.000000, 0.000000], [0.581849, -0.013279, -0.048115, -0.200939, -0.084666, -0.075501, 0.138892, 0.765783, 0.000000, 0.000000], [0.490114, 0.038444, -0.520471, 0.649947, -0.054298, -0.004096, 0.034803, -0.246603, 0.000000, 0.000000]]
fourier: [[7.033530, 7.481440, 7.812732, 9.748249, 88.082665], [12.028720, 14.918102, 15.015531, 15.057284, 18.662276], [5.487809, 6.096644, 6.542572, 7.591490, 38.444009], [23.377412, 26.404285, 29.021810, 32.016350, 104.988454], [14.150595, 16.062373, 17.800094, 18.615578, 66.845044], [3.027395, 3.089398, 3.273883, 4.014476, 13.411735], [27.409564, 31.855085, 36.260500, 36.712886, 148.664571], [23.171761, 26.697322, 30.433420, 31.096152, 125.865018]]
### 6
mean: [-0.723109, -0.458909, -0.511463, -0.510075, 2.621147, 3.262291, 3.071681, -0.391543]
std: [0.455518, 0.124023, 1.046222, 0.301519, 2.394333, 2.951767, 3.216627, 0.793628]
pca: [[-0.088000, 0.070804, 0.098911, 0.180495, 0.748273, 0.609468, -0.029368, 0.112491, 0.000000, 0.000000], [0.007613, -0.359852, -0.022188, -0.062408, 0.506193, -0.490078, 0.570226, -0.210939, 0.000000, 0.000000], [-0.196795, 0.747003, -0.271684, 0.171920, 0.240197, -0.453412, -0.052567, 0.183981, 0.000000, 0.000000], [-0.056058, -0.249337, 0.589418, 0.384572, 0.126565, -0.399679, -0.482577, 0.175318, 0.000000, 0.000000], [0.463106, -0.123304, -0.099615, -0.164507, 0.042150, -0.055760, 0.121306, 0.844833, 0.000000, 0.000000], [0.570953, -0.113985, -0.447926, 0.616777, 0.022342, -0.003687, -0.142460, -0.243230, 0.000000, 0.000000], [0.621576, 0.452473, 0.533757, -0.183664, 0.055406, -0.007608, 0.122891, -0.268426, 0.000000, 0.000000], [-0.153350, 0.111277, 0.270262, 0.587252, -0.323723, 0.140943, 0.623076, 0.182507, 0.000000, 0.000000]]
fourier: [[7.444485, 8.679171, 9.777004, 9.889464, 65.079797], [1.605644, 1.912273, 2.004646, 2.055396, 41.301841], [18.465955, 19.799562, 20.900196, 23.201194, 46.031683], [4.914788, 5.430563, 5.511911, 7.080939, 45.906717], [39.153614, 45.453862, 51.002556, 52.473744, 235.903232], [48.273673, 56.044265, 62.732079, 64.783710, 293.606154], [52.850102, 60.588719, 67.268608, 71.873517, 276.451317], [12.983306, 15.101094, 17.000246, 17.230921, 35.238860]]
### 8
mean: [-5.119833]
std: [4.791114]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[78.593434, 90.855067, 101.091587, 105.259676, 460.784964]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.6.weight": [
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"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [0.855387, 0.679869, 1.035279, 1.018942, -1.343674, 1.432275, -0.117079, 1.978787]
std: [1.563003, 1.607379, 1.471733, 1.864474, 1.004638, 1.386315, 1.619952, 1.391046]
pca: [[-0.218804, 0.488879, 0.579397, 0.205641, -0.266778, 0.123250, -0.102077, -0.488213, 0.000000, 0.000000], [0.479238, 0.086492, 0.270761, -0.328569, 0.560390, 0.379707, -0.340967, -0.084307, 0.000000, 0.000000], [0.371880, 0.285880, -0.003343, 0.670316, 0.213730, -0.426466, -0.231937, 0.222024, 0.000000, 0.000000], [-0.468878, 0.481017, 0.091688, -0.129562, 0.200870, 0.160651, 0.002471, 0.676328, 0.000000, 0.000000], [-0.059742, -0.303428, 0.431001, 0.315104, 0.414127, 0.098602, 0.661310, 0.027487, 0.000000, 0.000000], [0.148787, 0.517014, -0.210586, -0.364913, 0.215263, -0.402531, 0.498473, -0.276056, 0.000000, 0.000000], [0.464462, -0.021154, 0.477730, -0.278763, -0.496743, -0.182218, 0.174962, 0.409053, 0.000000, 0.000000], [0.350547, 0.283889, -0.352470, 0.271077, -0.253319, 0.654212, 0.321096, 0.059494, 0.000000, 0.000000]]
fourier: [[24.631940, 25.711265, 26.530213, 27.074627, 76.984798], [24.270898, 25.060649, 30.920354, 38.779783, 61.188181], [23.404597, 26.622269, 30.993322, 31.493042, 93.175120], [28.124364, 28.940270, 31.041780, 37.802204, 91.704779], [15.478074, 16.593333, 18.828403, 19.781014, 120.930617], [22.362768, 23.510879, 24.657186, 28.555775, 128.904722], [21.745825, 24.443481, 27.084777, 27.864530, 37.258113], [23.826757, 25.508254, 26.445230, 27.750810, 178.090788]]
### 2
mean: [-1.936671, -0.266037, -1.253563, -1.922648, -1.155455, 2.011016, -0.776376, -2.231784]
std: [1.393189, 1.482306, 0.950663, 1.237489, 0.908240, 2.379421, 0.743143, 1.344935]
pca: [[-0.291852, -0.438022, -0.560610, -0.341164, -0.393074, -0.097843, 0.181761, 0.308487, 0.000000, 0.000000], [-0.297870, 0.493973, -0.203502, -0.062768, 0.453081, 0.256849, 0.091874, 0.584993, 0.000000, 0.000000], [-0.032845, -0.401125, -0.120972, 0.019231, 0.620867, -0.496876, -0.427989, 0.086480, 0.000000, 0.000000], [-0.343176, -0.252096, -0.339728, 0.453199, 0.127368, 0.571685, -0.171493, -0.354143, 0.000000, 0.000000], [-0.280156, -0.067890, 0.116833, -0.538830, 0.395376, 0.038964, 0.455712, -0.497395, 0.000000, 0.000000], [0.724125, -0.333329, -0.120103, -0.170868, 0.250310, 0.450826, 0.157881, 0.173462, 0.000000, 0.000000], [-0.083013, -0.282803, 0.207725, 0.565947, 0.117547, -0.190086, 0.673036, 0.216236, 0.000000, 0.000000], [-0.312269, -0.379446, 0.665604, -0.184604, -0.075612, 0.331437, -0.245684, 0.324766, 0.000000, 0.000000]]
fourier: [[21.337336, 24.392982, 25.119326, 27.931614, 174.300345], [23.943314, 24.032853, 24.794741, 29.601326, 29.662013], [15.442092, 15.932195, 16.666888, 16.680347, 112.820661], [17.965087, 19.592024, 24.711539, 26.591714, 173.038304], [14.879477, 15.922289, 16.204416, 18.014733, 103.990959], [38.782429, 43.542414, 49.021713, 53.584297, 180.991473], [10.645251, 11.071932, 13.842688, 15.343367, 69.873807], [18.965322, 25.324202, 25.715622, 25.958693, 200.860510]]
### 4
mean: [-0.978696, -0.083111, -0.427156, 1.166538, -0.742723, 0.149019, 1.651829, 1.398500]
std: [0.418446, 0.824651, 0.330673, 1.414450, 0.840997, 0.206748, 1.678554, 1.414028]
pca: [[-0.139287, -0.254897, -0.273594, 0.052649, 0.349085, 0.739799, -0.312906, 0.266323, 0.000000, 0.000000], [-0.261052, 0.733684, 0.126898, 0.333404, -0.245142, 0.314379, 0.171247, 0.279362, 0.000000, 0.000000], [-0.112608, -0.134584, -0.302457, -0.243577, -0.000311, 0.248917, 0.859792, -0.131126, 0.000000, 0.000000], [0.486630, 0.377316, 0.347359, -0.188923, 0.542623, 0.251918, 0.070107, -0.318835, 0.000000, 0.000000], [-0.290140, 0.178543, -0.249067, 0.156039, 0.703810, -0.469710, 0.122151, 0.258190, 0.000000, 0.000000], [0.004566, -0.450247, 0.601386, 0.551265, 0.134686, 0.045790, 0.305259, 0.135199, 0.000000, 0.000000], [0.581849, -0.013279, -0.048115, -0.200939, -0.084666, -0.075501, 0.138892, 0.765783, 0.000000, 0.000000], [0.490114, 0.038444, -0.520471, 0.649947, -0.054298, -0.004096, 0.034803, -0.246603, 0.000000, 0.000000]]
fourier: [[7.033530, 7.481440, 7.812732, 9.748249, 88.082665], [12.028720, 14.918102, 15.015531, 15.057284, 18.662276], [5.487809, 6.096644, 6.542572, 7.591490, 38.444009], [23.377412, 26.404285, 29.021810, 32.016350, 104.988454], [14.150595, 16.062373, 17.800094, 18.615578, 66.845044], [3.027395, 3.089398, 3.273883, 4.014476, 13.411735], [27.409564, 31.855085, 36.260500, 36.712886, 148.664571], [23.171761, 26.697322, 30.433420, 31.096152, 125.865018]]
### 6
mean: [-0.723109, -0.458909, -0.511463, -0.510075, 2.621147, 3.262291, 3.071681, -0.391543]
std: [0.455518, 0.124023, 1.046222, 0.301519, 2.394333, 2.951767, 3.216627, 0.793628]
pca: [[-0.088000, 0.070804, 0.098911, 0.180495, 0.748273, 0.609468, -0.029368, 0.112491, 0.000000, 0.000000], [0.007613, -0.359852, -0.022188, -0.062408, 0.506193, -0.490078, 0.570226, -0.210939, 0.000000, 0.000000], [-0.196795, 0.747003, -0.271684, 0.171920, 0.240197, -0.453412, -0.052567, 0.183981, 0.000000, 0.000000], [-0.056058, -0.249337, 0.589418, 0.384572, 0.126565, -0.399679, -0.482577, 0.175318, 0.000000, 0.000000], [0.463106, -0.123304, -0.099615, -0.164507, 0.042150, -0.055760, 0.121306, 0.844833, 0.000000, 0.000000], [0.570953, -0.113985, -0.447926, 0.616777, 0.022342, -0.003687, -0.142460, -0.243230, 0.000000, 0.000000], [0.621576, 0.452473, 0.533757, -0.183664, 0.055406, -0.007608, 0.122891, -0.268426, 0.000000, 0.000000], [-0.153350, 0.111277, 0.270262, 0.587252, -0.323723, 0.140943, 0.623076, 0.182507, 0.000000, 0.000000]]
fourier: [[7.444485, 8.679171, 9.777004, 9.889464, 65.079797], [1.605644, 1.912273, 2.004646, 2.055396, 41.301841], [18.465955, 19.799562, 20.900196, 23.201194, 46.031683], [4.914788, 5.430563, 5.511911, 7.080939, 45.906717], [39.153614, 45.453862, 51.002556, 52.473744, 235.903232], [48.273673, 56.044265, 62.732079, 64.783710, 293.606154], [52.850102, 60.588719, 67.268608, 71.873517, 276.451317], [12.983306, 15.101094, 17.000246, 17.230921, 35.238860]]
### 8
mean: [-5.119833]
std: [4.791114]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[78.593434, 90.855067, 101.091587, 105.259676, 460.784964]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6819081008434296, "train_acc": 0.565, "val_loss": 0.6819716095924377, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6605305969715118, "train_acc": 0.565, "val_loss": 0.6615657210350037, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6275717616081238, "train_acc": 0.565, "val_loss": 0.6149194240570068, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6006037294864655, "train_acc": 0.575, "val_loss": 0.6040652990341187, "val_acc": 0.6}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5828035473823547, "train_acc": 0.645, "val_loss": 0.5952688455581665, "val_acc": 0.6}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.563652366399765, "train_acc": 0.67, "val_loss": 0.5400354862213135, "val_acc": 0.66}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5077427625656128, "train_acc": 0.725, "val_loss": 0.42527130246162415, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5087870806455612, "train_acc": 0.725, "val_loss": 0.44258439540863037, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.49756598472595215, "train_acc": 0.755, "val_loss": 0.4479571580886841, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.4761062562465668, "train_acc": 0.765, "val_loss": 0.4273289442062378, "val_acc": 0.78}], "summary": {"total_epochs": 10, "degraded_epochs": 3, "improved_epochs": 7, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6819716095924377, "final_val_loss": 0.6149194240570068, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.6040652990341187, "final_val_loss": 0.4273289442062378, "initial_val_acc": 0.6, "final_val_acc": 0.78, "best_val_acc": 0.82, "best_epoch": 6}, "improvement": 0.29999999999999993, "first_improvement_epoch": 2}}
|
125
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.46, "improved_accuracy": 0.92, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7166, "learning_rate": 0.02376165881312369, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.024271
],
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],
[
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0.567104,
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],
[
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[
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[
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"network.0.bias": [
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[
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[
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],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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[
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[
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[
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],
"network.8.bias": [
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"network.10.weight": [
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.357148, -0.715869, 0.786361, -1.082949, -0.529403, 0.491041]
std: [0.677725, 0.732535, 1.323628, 1.224783, 1.080924, 1.700947]
pca: [[0.203505, -0.289969, -0.190481, -0.036455, -0.428954, 0.808016, 0.000000, 0.000000, 0.000000, 0.000000], [0.052465, -0.065275, 0.455680, 0.701368, 0.429307, 0.330334, 0.000000, 0.000000, 0.000000, 0.000000], [-0.520252, 0.538602, -0.110798, -0.278554, 0.353839, 0.473472, 0.000000, 0.000000, 0.000000, 0.000000], [0.314189, 0.065334, 0.753099, -0.564635, 0.014537, 0.104093, 0.000000, 0.000000, 0.000000, 0.000000], [0.393725, -0.352924, -0.366523, -0.282815, 0.709528, 0.051691, 0.000000, 0.000000, 0.000000, 0.000000], [0.656838, 0.701955, -0.205669, 0.174254, -0.053392, 0.017510, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.527545, 11.299259, 12.178430, 13.334139, 32.143355], [11.676204, 11.700250, 12.784920, 17.443323, 64.428206], [19.867996, 20.252605, 20.663937, 24.176566, 70.772471], [22.088689, 23.775946, 24.232786, 24.965959, 97.465395], [18.445555, 19.183790, 21.226252, 23.828860, 47.646250], [24.241727, 26.316093, 26.553064, 28.546500, 44.193726]]
### 2
mean: [0.506240, 0.218584, 0.436711, 0.164607, -0.620926, 0.327781]
std: [0.473293, 0.608413, 0.543021, 0.394582, 0.754199, 0.389289]
pca: [[-0.442687, -0.142018, -0.335336, -0.607205, 0.424274, 0.350290, 0.000000, 0.000000, 0.000000, 0.000000], [-0.504691, -0.388837, 0.337614, 0.210414, -0.470837, 0.462761, 0.000000, 0.000000, 0.000000, 0.000000], [-0.062310, 0.626399, 0.661621, -0.117181, 0.258676, 0.292155, 0.000000, 0.000000, 0.000000, 0.000000], [-0.181918, -0.414721, 0.284213, 0.419331, 0.693606, -0.239180, 0.000000, 0.000000, 0.000000, 0.000000], [0.695814, -0.329527, 0.043703, 0.017489, 0.168606, 0.613686, 0.000000, 0.000000, 0.000000, 0.000000], [-0.167874, 0.394562, -0.503128, 0.630200, 0.147896, 0.379442, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.302285, 7.613799, 8.374640, 10.108679, 45.561597], [9.734670, 11.275198, 11.277763, 13.404005, 19.672600], [7.679926, 7.928707, 9.389882, 11.115262, 39.304031], [6.661407, 7.368963, 7.436185, 8.036498, 14.814627], [11.407370, 11.898297, 12.899447, 14.273986, 55.883345], [5.753539, 5.762884, 7.069255, 7.501620, 29.500282]]
### 4
mean: [-0.163871, -0.247027, -0.383386, -0.296832, 0.031504, -0.457728]
std: [0.609652, 0.088688, 0.119658, 0.082863, 0.252218, 0.142464]
pca: [[0.918301, -0.282403, 0.018318, 0.118594, -0.220341, -0.118411, 0.000000, 0.000000, 0.000000, 0.000000], [-0.015686, -0.441604, -0.071435, 0.542593, 0.685268, 0.188779, 0.000000, 0.000000, 0.000000, 0.000000], [-0.161923, 0.176373, -0.305014, 0.632874, -0.251870, -0.621025, 0.000000, 0.000000, 0.000000, 0.000000], [-0.083770, -0.116526, -0.520312, 0.213412, -0.481205, 0.656945, 0.000000, 0.000000, 0.000000, 0.000000], [0.307287, 0.816144, 0.075792, 0.287748, 0.225980, 0.316028, 0.000000, 0.000000, 0.000000, 0.000000], [-0.169751, -0.120242, 0.790607, 0.403305, -0.368502, 0.182261, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.092156, 10.955345, 11.856268, 11.976941, 14.748433], [1.379947, 1.384687, 1.422692, 1.841102, 22.232405], [1.823805, 1.900935, 2.243539, 2.311656, 34.504734], [1.223032, 1.271908, 1.420209, 1.425333, 26.714871], [3.579029, 3.663087, 3.670415, 4.796576, 5.488372], [2.058693, 2.427695, 2.775592, 2.994147, 41.195524]]
### 6
mean: [-0.142278, 0.446206, 0.573793, 0.197615, 0.021402, -0.114819]
std: [0.014330, 0.164362, 0.069822, 0.071437, 0.187295, 0.234971]
pca: [[0.023560, 0.229605, 0.656352, -0.359877, 0.498086, 0.371925, 0.000000, 0.000000, 0.000000, 0.000000], [-0.452545, 0.748831, 0.083026, 0.468915, -0.034113, -0.080727, 0.000000, 0.000000, 0.000000, 0.000000], [-0.189111, -0.399655, 0.127630, 0.545330, -0.098901, 0.693583, 0.000000, 0.000000, 0.000000, 0.000000], [-0.198282, 0.272819, -0.638295, -0.418350, 0.010961, 0.551087, 0.000000, 0.000000, 0.000000, 0.000000], [0.529564, 0.127419, -0.340378, 0.421293, 0.639027, 0.040326, 0.000000, 0.000000, 0.000000, 0.000000], [0.662670, 0.368976, 0.150806, 0.026799, -0.576619, 0.262249, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[0.211061, 0.236810, 0.246670, 0.257762, 12.805063], [2.369351, 2.453317, 2.521092, 3.141419, 40.158568], [0.958222, 1.158602, 1.371696, 1.398868, 51.641382], [1.026494, 1.053208, 1.116927, 1.372255, 17.785304], [2.290644, 2.475132, 2.781888, 3.438725, 3.755276], [3.039749, 3.577090, 4.391639, 4.709865, 10.333721]]
### 8
mean: [-0.144859, -0.174160, 0.935535, 0.052690, 0.037139, -0.052896]
std: [0.025811, 0.093943, 0.290096, 0.118759, 0.054091, 0.009150]
pca: [[-0.071958, 0.011974, 0.645894, -0.383199, 0.541771, 0.370328, 0.000000, 0.000000, 0.000000, 0.000000], [-0.283592, -0.010692, 0.255162, 0.855008, 0.335033, -0.105202, 0.000000, 0.000000, 0.000000, 0.000000], [0.876617, 0.266825, -0.044576, 0.261512, 0.189988, 0.232112, 0.000000, 0.000000, 0.000000, 0.000000], [-0.356912, 0.315484, -0.492576, 0.081377, 0.100490, 0.716751, 0.000000, 0.000000, 0.000000, 0.000000], [-0.136069, 0.901623, 0.108058, -0.116412, 0.009542, -0.378474, 0.000000, 0.000000, 0.000000, 0.000000], [0.006235, -0.126857, -0.511291, -0.183186, 0.740238, -0.375420, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[0.372057, 0.388131, 0.519096, 0.548690, 13.037288], [1.251918, 1.330561, 1.653154, 1.820696, 15.674388], [3.921934, 4.316843, 5.021108, 5.524160, 84.198127], [1.666482, 1.701137, 1.869358, 2.177434, 4.742115], [0.797791, 0.832089, 0.882431, 0.907074, 3.342513], [0.127934, 0.134587, 0.134969, 0.138805, 4.760664]]
### 10
mean: [-0.442254]
std: [0.149302]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.018725, 2.133780, 2.576734, 2.842342, 39.802853]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [-0.357148, -0.715869, 0.786361, -1.082949, -0.529403, 0.491041]
std: [0.677725, 0.732535, 1.323628, 1.224783, 1.080924, 1.700947]
pca: [[0.203505, -0.289969, -0.190481, -0.036455, -0.428954, 0.808016, 0.000000, 0.000000, 0.000000, 0.000000], [0.052465, -0.065275, 0.455680, 0.701368, 0.429307, 0.330334, 0.000000, 0.000000, 0.000000, 0.000000], [-0.520252, 0.538602, -0.110798, -0.278554, 0.353839, 0.473472, 0.000000, 0.000000, 0.000000, 0.000000], [0.314189, 0.065334, 0.753099, -0.564635, 0.014537, 0.104093, 0.000000, 0.000000, 0.000000, 0.000000], [0.393725, -0.352924, -0.366523, -0.282815, 0.709528, 0.051691, 0.000000, 0.000000, 0.000000, 0.000000], [0.656838, 0.701955, -0.205669, 0.174254, -0.053392, 0.017510, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.527545, 11.299259, 12.178430, 13.334139, 32.143355], [11.676204, 11.700250, 12.784920, 17.443323, 64.428206], [19.867996, 20.252605, 20.663937, 24.176566, 70.772471], [22.088689, 23.775946, 24.232786, 24.965959, 97.465395], [18.445555, 19.183790, 21.226252, 23.828860, 47.646250], [24.241727, 26.316093, 26.553064, 28.546500, 44.193726]]
### 2
mean: [0.506240, 0.218584, 0.436711, 0.164607, -0.620926, 0.327781]
std: [0.473293, 0.608413, 0.543021, 0.394582, 0.754199, 0.389289]
pca: [[-0.442687, -0.142018, -0.335336, -0.607205, 0.424274, 0.350290, 0.000000, 0.000000, 0.000000, 0.000000], [-0.504691, -0.388837, 0.337614, 0.210414, -0.470837, 0.462761, 0.000000, 0.000000, 0.000000, 0.000000], [-0.062310, 0.626399, 0.661621, -0.117181, 0.258676, 0.292155, 0.000000, 0.000000, 0.000000, 0.000000], [-0.181918, -0.414721, 0.284213, 0.419331, 0.693606, -0.239180, 0.000000, 0.000000, 0.000000, 0.000000], [0.695814, -0.329527, 0.043703, 0.017489, 0.168606, 0.613686, 0.000000, 0.000000, 0.000000, 0.000000], [-0.167874, 0.394562, -0.503128, 0.630200, 0.147896, 0.379442, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.302285, 7.613799, 8.374640, 10.108679, 45.561597], [9.734670, 11.275198, 11.277763, 13.404005, 19.672600], [7.679926, 7.928707, 9.389882, 11.115262, 39.304031], [6.661407, 7.368963, 7.436185, 8.036498, 14.814627], [11.407370, 11.898297, 12.899447, 14.273986, 55.883345], [5.753539, 5.762884, 7.069255, 7.501620, 29.500282]]
### 4
mean: [-0.163871, -0.247027, -0.383386, -0.296832, 0.031504, -0.457728]
std: [0.609652, 0.088688, 0.119658, 0.082863, 0.252218, 0.142464]
pca: [[0.918301, -0.282403, 0.018318, 0.118594, -0.220341, -0.118411, 0.000000, 0.000000, 0.000000, 0.000000], [-0.015686, -0.441604, -0.071435, 0.542593, 0.685268, 0.188779, 0.000000, 0.000000, 0.000000, 0.000000], [-0.161923, 0.176373, -0.305014, 0.632874, -0.251870, -0.621025, 0.000000, 0.000000, 0.000000, 0.000000], [-0.083770, -0.116526, -0.520312, 0.213412, -0.481205, 0.656945, 0.000000, 0.000000, 0.000000, 0.000000], [0.307287, 0.816144, 0.075792, 0.287748, 0.225980, 0.316028, 0.000000, 0.000000, 0.000000, 0.000000], [-0.169751, -0.120242, 0.790607, 0.403305, -0.368502, 0.182261, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.092156, 10.955345, 11.856268, 11.976941, 14.748433], [1.379947, 1.384687, 1.422692, 1.841102, 22.232405], [1.823805, 1.900935, 2.243539, 2.311656, 34.504734], [1.223032, 1.271908, 1.420209, 1.425333, 26.714871], [3.579029, 3.663087, 3.670415, 4.796576, 5.488372], [2.058693, 2.427695, 2.775592, 2.994147, 41.195524]]
### 6
mean: [-0.142278, 0.446206, 0.573793, 0.197615, 0.021402, -0.114819]
std: [0.014330, 0.164362, 0.069822, 0.071437, 0.187295, 0.234971]
pca: [[0.023560, 0.229605, 0.656352, -0.359877, 0.498086, 0.371925, 0.000000, 0.000000, 0.000000, 0.000000], [-0.452545, 0.748831, 0.083026, 0.468915, -0.034113, -0.080727, 0.000000, 0.000000, 0.000000, 0.000000], [-0.189111, -0.399655, 0.127630, 0.545330, -0.098901, 0.693583, 0.000000, 0.000000, 0.000000, 0.000000], [-0.198282, 0.272819, -0.638295, -0.418350, 0.010961, 0.551087, 0.000000, 0.000000, 0.000000, 0.000000], [0.529564, 0.127419, -0.340378, 0.421293, 0.639027, 0.040326, 0.000000, 0.000000, 0.000000, 0.000000], [0.662670, 0.368976, 0.150806, 0.026799, -0.576619, 0.262249, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[0.211061, 0.236810, 0.246670, 0.257762, 12.805063], [2.369351, 2.453317, 2.521092, 3.141419, 40.158568], [0.958222, 1.158602, 1.371696, 1.398868, 51.641382], [1.026494, 1.053208, 1.116927, 1.372255, 17.785304], [2.290644, 2.475132, 2.781888, 3.438725, 3.755276], [3.039749, 3.577090, 4.391639, 4.709865, 10.333721]]
### 8
mean: [-0.144859, -0.174160, 0.935535, 0.052690, 0.037139, -0.052896]
std: [0.025811, 0.093943, 0.290096, 0.118759, 0.054091, 0.009150]
pca: [[-0.071958, 0.011974, 0.645894, -0.383199, 0.541771, 0.370328, 0.000000, 0.000000, 0.000000, 0.000000], [-0.283592, -0.010692, 0.255162, 0.855008, 0.335033, -0.105202, 0.000000, 0.000000, 0.000000, 0.000000], [0.876617, 0.266825, -0.044576, 0.261512, 0.189988, 0.232112, 0.000000, 0.000000, 0.000000, 0.000000], [-0.356912, 0.315484, -0.492576, 0.081377, 0.100490, 0.716751, 0.000000, 0.000000, 0.000000, 0.000000], [-0.136069, 0.901623, 0.108058, -0.116412, 0.009542, -0.378474, 0.000000, 0.000000, 0.000000, 0.000000], [0.006235, -0.126857, -0.511291, -0.183186, 0.740238, -0.375420, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[0.372057, 0.388131, 0.519096, 0.548690, 13.037288], [1.251918, 1.330561, 1.653154, 1.820696, 15.674388], [3.921934, 4.316843, 5.021108, 5.524160, 84.198127], [1.666482, 1.701137, 1.869358, 2.177434, 4.742115], [0.797791, 0.832089, 0.882431, 0.907074, 3.342513], [0.127934, 0.134587, 0.134969, 0.138805, 4.760664]]
### 10
mean: [-0.442254]
std: [0.149302]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.018725, 2.133780, 2.576734, 2.842342, 39.802853]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
|
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"pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.133804, -0.073579, 0.241903, -0.217138, 0.024271], [-0.118754, 0.311518, -0.288351, -0.218195, 0.171543], [0.435808, -0.093463, -0.157545, 0.567104, -0.191513], [-0.444391, 0.256528, -0.379602, -0.140332, 0.029552], [-0.1205, -0.344252, 0.275369, -0.271342, 0.059245], [-0.371899, -0.463081, -0.019202, 0.437096, 0.471692]], "network.0.bias": [-0.126163, -0.277069, -0.2365, 0.060053, 0.181451, 0.318714], "network.2.weight": [[0.200747, -0.276015, -0.032727, 0.272404, -0.411967, 0.389971], [-0.549319, -0.117197, -0.279327, -0.004816, -0.424367, 0.426364], [-0.284361, -0.057029, 0.43794, -0.303024, -0.082846, -0.225588], [-0.084146, 0.035129, -0.337296, -0.359365, -0.416527, 0.219072], [0.143786, -0.261427, -0.35916, 0.168722, 0.453329, -0.368347], [-0.190977, 0.384805, 0.396534, -0.276633, 0.409218, 0.042429]], "network.2.bias": [0.241255, 0.284041, 0.276979, 0.427525, -0.033749, -0.175334], "network.4.weight": [[0.276734, 0.474346, -0.357519, 0.491364, -0.149703, -0.426458], [-0.089918, 0.142967, 0.172103, -0.133413, 0.158187, -0.38783], [-0.222976, 0.082813, 0.178564, 0.078938, 0.168341, 0.128707], [-0.33113, 0.031665, 0.029652, 0.32129, -0.071145, 0.199111], [0.448312, 0.140355, 0.147189, 0.103183, 0.279605, -0.149914], [0.01428, -0.056384, -0.1474, -0.471788, 0.143118, 0.104266]], "network.4.bias": [-0.260223, -0.173421, -0.46195, -0.300368, -0.309509, -0.300907], "network.6.weight": [[-0.043328, -0.362274, -0.204229, -0.203989, 0.123196, -0.293937], [-0.588292, 0.120857, -0.024717, -0.26862, 0.26985, 0.263112], [-0.049162, -0.327493, 0.076408, -0.055843, -0.25319, 0.127006], [-0.242673, 0.104164, 0.16313, 0.095802, 0.090518, -0.170753], [0.411395, 0.315914, 0.00227, -0.261939, 0.19974, 0.336431], [0.457119, -0.222796, -0.250361, 0.081922, 0.35695, -0.304955]], "network.6.bias": [-0.147979, 0.50892, 0.606972, 0.225446, -0.061835, -0.22086], "network.8.weight": [[0.137058, 0.157375, -0.250265, -0.506016, 0.232668, -0.23294], [-0.116963, -0.151639, -0.465427, -0.465261, -0.134689, 0.23289], [-0.08659, 0.585768, 0.650917, 0.099678, -0.453286, -0.503919], [0.255572, -0.455232, 0.149454, 0.005563, 0.013612, 0.383819], [-0.18972, -0.468587, 0.296888, -0.152726, -0.005795, -0.018804], [0.334286, 0.16533, 0.272439, -0.148048, 0.018549, 0.145389]], "network.8.bias": [0.027206, 0.251191, 0.32873, 0.151928, 0.11139, -0.263029], "network.10.weight": [[0.06881, 0.11572, -0.472685, 0.099524, 0.408229, 0.29334]], "network.10.bias": [-0.017471]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7106471061706543, "train_acc": 0.415, "val_loss": 0.6876687407493591, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6935618817806244, "train_acc": 0.505, "val_loss": 0.687655508518219, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6818780601024628, "train_acc": 0.585, "val_loss": 0.6842261552810669, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6668587028980255, "train_acc": 0.585, "val_loss": 0.6664483547210693, "val_acc": 0.46}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6447516977787018, "train_acc": 0.575, "val_loss": 0.6418081521987915, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6210685968399048, "train_acc": 0.62, "val_loss": 0.5888767838478088, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5795831680297852, "train_acc": 0.865, "val_loss": 0.5261638164520264, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5167323350906372, "train_acc": 0.885, "val_loss": 0.4660532772541046, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.45179927349090576, "train_acc": 0.9, "val_loss": 0.4179080128669739, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.41689224541187286, "train_acc": 0.88, "val_loss": 0.3713037073612213, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.3597842901945114, "train_acc": 0.91, "val_loss": 0.3646260201931, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.3161241114139557, "train_acc": 0.89, "val_loss": 0.3038630783557892, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.251520998775959, "train_acc": 0.93, "val_loss": 0.3255711495876312, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.2892432063817978, "train_acc": 0.89, "val_loss": 0.3218260109424591, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.29668910056352615, "train_acc": 0.925, "val_loss": 0.3259879946708679, "val_acc": 0.92}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6876687407493591, "final_val_loss": 0.6418081521987915, "initial_val_acc": 0.54, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5888767838478088, "final_val_loss": 0.3259879946708679, "initial_val_acc": 0.92, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 5}, "improvement": 0.46, "first_improvement_epoch": 4}}
|
126
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{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.52, "improved_accuracy": 0.9, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7139, "learning_rate": 0.01613935010726621, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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"network.2.weight": [
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"network.4.weight": [
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[
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[
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[
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}
## Activation Signature
### 0
mean: [1.711910, 1.169924, -0.728344, -0.873632, 2.030130, 2.350174, 0.185877]
std: [1.213824, 1.540796, 1.059553, 0.684421, 1.578442, 1.565647, 1.020923]
pca: [[0.381526, -0.305868, -0.424167, -0.247485, -0.264210, -0.444256, 0.502540, 0.000000, 0.000000, 0.000000], [0.464738, -0.242009, 0.785654, -0.002736, -0.066063, -0.293644, -0.132664, 0.000000, 0.000000, 0.000000], [-0.169754, -0.337844, -0.168746, 0.809884, 0.023522, -0.386816, -0.149924, 0.000000, 0.000000, 0.000000], [-0.139794, -0.255978, 0.106257, -0.112017, 0.866292, -0.084865, 0.365282, 0.000000, 0.000000, 0.000000], [0.603411, -0.265710, -0.177458, 0.292469, 0.132611, 0.655826, 0.023904, 0.000000, 0.000000, 0.000000], [0.473517, 0.580455, -0.255242, 0.048669, 0.382283, -0.357181, -0.312439, 0.000000, 0.000000, 0.000000], [0.042128, 0.510571, 0.257731, 0.427056, -0.105302, 0.043542, 0.689751, 0.000000, 0.000000, 0.000000]]
fourier: [[20.043744, 20.269283, 20.793480, 23.801329, 154.071868], [22.338734, 23.395587, 30.461520, 30.992186, 105.293123], [16.912769, 17.787547, 18.660792, 18.960143, 65.550976], [10.011996, 13.095018, 14.504777, 14.777420, 78.626915], [26.274585, 26.341166, 26.421706, 27.889923, 182.711669], [26.210682, 26.328683, 28.016757, 29.325046, 211.515623], [15.993239, 16.403369, 16.728969, 17.379837, 18.473979]]
### 2
mean: [1.846177, -0.624396, 0.678069, 0.499176, -0.464563, 1.482175, 2.486567]
std: [1.257850, 0.435434, 0.756127, 0.919933, 0.365696, 1.056715, 1.491884]
pca: [[0.557183, 0.067977, 0.013357, -0.413096, 0.157663, 0.698777, -0.030875, 0.000000, 0.000000, 0.000000], [0.079534, -0.303159, -0.312879, 0.748568, 0.082998, 0.407591, 0.265525, 0.000000, 0.000000, 0.000000], [-0.124581, 0.569418, 0.217659, 0.067753, 0.491129, -0.004206, 0.605847, 0.000000, 0.000000, 0.000000], [-0.260379, 0.575096, 0.180536, 0.338217, -0.223032, 0.375806, -0.513332, 0.000000, 0.000000, 0.000000], [0.050977, -0.227473, 0.750234, 0.073794, -0.489891, 0.136523, 0.344570, 0.000000, 0.000000, 0.000000], [0.462454, -0.104667, 0.445362, 0.339027, 0.473976, -0.290859, -0.390695, 0.000000, 0.000000, 0.000000], [0.619227, 0.431048, -0.246497, 0.172139, -0.461147, -0.317955, 0.163130, 0.000000, 0.000000, 0.000000]]
fourier: [[20.216167, 21.351294, 22.324761, 25.451866, 166.155889], [6.648547, 6.745083, 8.043012, 9.447665, 56.195668], [11.441381, 12.879073, 13.401268, 16.330123, 61.026186], [14.152423, 14.817153, 14.846409, 17.160131, 44.925863], [5.590123, 5.683477, 5.987055, 6.061498, 41.810679], [16.598404, 17.425298, 18.322828, 19.607339, 133.395765], [24.256543, 25.487219, 28.400865, 30.224209, 223.791068]]
### 4
mean: [0.688316, 2.562428, 0.093365, -0.034018, 1.950819, -0.331960, 0.020484]
std: [0.511973, 1.861446, 0.766397, 0.543588, 1.274652, 0.284221, 0.202786]
pca: [[0.202952, -0.103766, 0.747266, -0.236634, -0.300905, 0.470815, 0.146391, 0.000000, 0.000000, 0.000000], [0.753151, 0.106292, -0.256443, -0.182273, -0.471902, -0.215650, -0.230830, 0.000000, 0.000000, 0.000000], [-0.274239, 0.736518, 0.058725, 0.357194, -0.410252, 0.175658, -0.228331, 0.000000, 0.000000, 0.000000], [-0.207378, 0.367061, -0.025322, -0.533909, -0.167306, -0.356782, 0.617475, 0.000000, 0.000000, 0.000000], [0.508903, 0.432775, -0.026906, 0.238614, 0.522107, 0.247009, 0.403057, 0.000000, 0.000000, 0.000000], [-0.107635, -0.139931, -0.609046, -0.158023, -0.232107, 0.686330, 0.219098, 0.000000, 0.000000, 0.000000], [0.052855, -0.306377, 0.008939, 0.645156, -0.404966, -0.204003, 0.530489, 0.000000, 0.000000, 0.000000]]
fourier: [[7.953278, 8.407392, 8.940805, 10.052836, 61.948414], [30.673799, 31.872382, 32.474558, 35.625320, 230.618511], [11.567661, 11.631047, 11.794908, 12.033603, 12.597553], [8.429484, 8.571633, 9.058319, 9.090311, 9.249078], [21.150706, 22.032657, 22.568026, 25.323904, 175.573750], [4.263647, 4.970926, 5.014288, 6.401453, 29.876438], [3.026971, 3.225986, 3.323751, 3.599783, 4.170459]]
### 6
mean: [-0.499716, 2.214521, 0.887246, 0.825893, -0.813263, 1.150741, -0.649438]
std: [0.599195, 1.534983, 0.771689, 0.832442, 1.113119, 0.846659, 0.585530]
pca: [[-0.239683, 0.032138, 0.141805, -0.207035, 0.836630, 0.419527, 0.050943, 0.000000, 0.000000, 0.000000], [0.611377, 0.665002, 0.290672, -0.245200, 0.100187, -0.104194, -0.135955, 0.000000, 0.000000, 0.000000], [0.304949, -0.459868, 0.706418, 0.370644, 0.131659, -0.128298, 0.159152, 0.000000, 0.000000, 0.000000], [0.332902, -0.148539, -0.005820, 0.043147, -0.304289, 0.855936, -0.199998, 0.000000, 0.000000, 0.000000], [-0.444349, 0.292608, 0.506164, -0.218221, -0.406432, 0.200091, 0.455948, 0.000000, 0.000000, 0.000000], [0.338486, 0.091549, -0.373479, 0.191302, 0.103047, 0.101380, 0.824661, 0.000000, 0.000000, 0.000000], [-0.230074, 0.478744, 0.025534, 0.820706, 0.065435, 0.117216, -0.160119, 0.000000, 0.000000, 0.000000]]
fourier: [[9.755580, 10.276405, 10.767802, 11.035191, 44.974460], [24.814923, 26.440559, 27.120657, 29.469790, 199.306937], [12.480212, 12.892947, 14.129668, 14.481145, 79.852140], [13.584367, 14.281116, 14.735656, 15.556266, 74.330375], [18.033951, 19.303401, 20.011435, 20.336644, 73.193704], [13.996764, 14.074321, 15.427813, 15.747884, 103.566659], [8.979179, 9.487657, 10.418824, 10.816346, 58.449440]]
### 8
mean: [-0.485034, -1.032543, -1.158821, 1.931923, 0.448847, 1.008527, -1.188771]
std: [0.328128, 0.934585, 0.785847, 1.383473, 0.337607, 0.867927, 1.092813]
pca: [[-0.136752, -0.333061, -0.102936, 0.840580, -0.284353, 0.159371, 0.216664, 0.000000, 0.000000, 0.000000], [-0.396227, -0.329141, 0.409478, -0.052262, 0.250265, 0.555734, -0.439083, 0.000000, 0.000000, 0.000000], [-0.333631, 0.124539, -0.496291, -0.034048, 0.590424, 0.283122, 0.443799, 0.000000, 0.000000, 0.000000], [0.587796, -0.040298, -0.437403, -0.092532, -0.167679, 0.616047, -0.212976, 0.000000, 0.000000, 0.000000], [0.136923, 0.536106, 0.544424, 0.067204, -0.113724, 0.424608, 0.446881, 0.000000, 0.000000, 0.000000], [0.368088, 0.287050, 0.098099, 0.509731, 0.600869, -0.147284, -0.360456, 0.000000, 0.000000, 0.000000], [-0.461793, 0.627531, -0.279436, 0.128962, -0.325296, 0.064066, -0.433952, 0.000000, 0.000000, 0.000000]]
fourier: [[5.312715, 5.751657, 5.932994, 6.094892, 43.653041], [15.014620, 16.135140, 16.679208, 17.608287, 92.928828], [12.978969, 13.234150, 14.189093, 14.615204, 104.293921], [23.034308, 23.101753, 24.857866, 26.093372, 173.873033], [5.691447, 5.693073, 5.955997, 6.284340, 40.396268], [14.052949, 15.058208, 15.482324, 16.140743, 90.767436], [18.260823, 18.949352, 19.868586, 20.317367, 106.989402]]
### 10
mean: [-0.915152]
std: [0.614266]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.704339, 10.477778, 11.238513, 11.558644, 82.363699]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.2.weight": [
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"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [1.711910, 1.169924, -0.728344, -0.873632, 2.030130, 2.350174, 0.185877]
std: [1.213824, 1.540796, 1.059553, 0.684421, 1.578442, 1.565647, 1.020923]
pca: [[0.381526, -0.305868, -0.424167, -0.247485, -0.264210, -0.444256, 0.502540, 0.000000, 0.000000, 0.000000], [0.464738, -0.242009, 0.785654, -0.002736, -0.066063, -0.293644, -0.132664, 0.000000, 0.000000, 0.000000], [-0.169754, -0.337844, -0.168746, 0.809884, 0.023522, -0.386816, -0.149924, 0.000000, 0.000000, 0.000000], [-0.139794, -0.255978, 0.106257, -0.112017, 0.866292, -0.084865, 0.365282, 0.000000, 0.000000, 0.000000], [0.603411, -0.265710, -0.177458, 0.292469, 0.132611, 0.655826, 0.023904, 0.000000, 0.000000, 0.000000], [0.473517, 0.580455, -0.255242, 0.048669, 0.382283, -0.357181, -0.312439, 0.000000, 0.000000, 0.000000], [0.042128, 0.510571, 0.257731, 0.427056, -0.105302, 0.043542, 0.689751, 0.000000, 0.000000, 0.000000]]
fourier: [[20.043744, 20.269283, 20.793480, 23.801329, 154.071868], [22.338734, 23.395587, 30.461520, 30.992186, 105.293123], [16.912769, 17.787547, 18.660792, 18.960143, 65.550976], [10.011996, 13.095018, 14.504777, 14.777420, 78.626915], [26.274585, 26.341166, 26.421706, 27.889923, 182.711669], [26.210682, 26.328683, 28.016757, 29.325046, 211.515623], [15.993239, 16.403369, 16.728969, 17.379837, 18.473979]]
### 2
mean: [1.846177, -0.624396, 0.678069, 0.499176, -0.464563, 1.482175, 2.486567]
std: [1.257850, 0.435434, 0.756127, 0.919933, 0.365696, 1.056715, 1.491884]
pca: [[0.557183, 0.067977, 0.013357, -0.413096, 0.157663, 0.698777, -0.030875, 0.000000, 0.000000, 0.000000], [0.079534, -0.303159, -0.312879, 0.748568, 0.082998, 0.407591, 0.265525, 0.000000, 0.000000, 0.000000], [-0.124581, 0.569418, 0.217659, 0.067753, 0.491129, -0.004206, 0.605847, 0.000000, 0.000000, 0.000000], [-0.260379, 0.575096, 0.180536, 0.338217, -0.223032, 0.375806, -0.513332, 0.000000, 0.000000, 0.000000], [0.050977, -0.227473, 0.750234, 0.073794, -0.489891, 0.136523, 0.344570, 0.000000, 0.000000, 0.000000], [0.462454, -0.104667, 0.445362, 0.339027, 0.473976, -0.290859, -0.390695, 0.000000, 0.000000, 0.000000], [0.619227, 0.431048, -0.246497, 0.172139, -0.461147, -0.317955, 0.163130, 0.000000, 0.000000, 0.000000]]
fourier: [[20.216167, 21.351294, 22.324761, 25.451866, 166.155889], [6.648547, 6.745083, 8.043012, 9.447665, 56.195668], [11.441381, 12.879073, 13.401268, 16.330123, 61.026186], [14.152423, 14.817153, 14.846409, 17.160131, 44.925863], [5.590123, 5.683477, 5.987055, 6.061498, 41.810679], [16.598404, 17.425298, 18.322828, 19.607339, 133.395765], [24.256543, 25.487219, 28.400865, 30.224209, 223.791068]]
### 4
mean: [0.688316, 2.562428, 0.093365, -0.034018, 1.950819, -0.331960, 0.020484]
std: [0.511973, 1.861446, 0.766397, 0.543588, 1.274652, 0.284221, 0.202786]
pca: [[0.202952, -0.103766, 0.747266, -0.236634, -0.300905, 0.470815, 0.146391, 0.000000, 0.000000, 0.000000], [0.753151, 0.106292, -0.256443, -0.182273, -0.471902, -0.215650, -0.230830, 0.000000, 0.000000, 0.000000], [-0.274239, 0.736518, 0.058725, 0.357194, -0.410252, 0.175658, -0.228331, 0.000000, 0.000000, 0.000000], [-0.207378, 0.367061, -0.025322, -0.533909, -0.167306, -0.356782, 0.617475, 0.000000, 0.000000, 0.000000], [0.508903, 0.432775, -0.026906, 0.238614, 0.522107, 0.247009, 0.403057, 0.000000, 0.000000, 0.000000], [-0.107635, -0.139931, -0.609046, -0.158023, -0.232107, 0.686330, 0.219098, 0.000000, 0.000000, 0.000000], [0.052855, -0.306377, 0.008939, 0.645156, -0.404966, -0.204003, 0.530489, 0.000000, 0.000000, 0.000000]]
fourier: [[7.953278, 8.407392, 8.940805, 10.052836, 61.948414], [30.673799, 31.872382, 32.474558, 35.625320, 230.618511], [11.567661, 11.631047, 11.794908, 12.033603, 12.597553], [8.429484, 8.571633, 9.058319, 9.090311, 9.249078], [21.150706, 22.032657, 22.568026, 25.323904, 175.573750], [4.263647, 4.970926, 5.014288, 6.401453, 29.876438], [3.026971, 3.225986, 3.323751, 3.599783, 4.170459]]
### 6
mean: [-0.499716, 2.214521, 0.887246, 0.825893, -0.813263, 1.150741, -0.649438]
std: [0.599195, 1.534983, 0.771689, 0.832442, 1.113119, 0.846659, 0.585530]
pca: [[-0.239683, 0.032138, 0.141805, -0.207035, 0.836630, 0.419527, 0.050943, 0.000000, 0.000000, 0.000000], [0.611377, 0.665002, 0.290672, -0.245200, 0.100187, -0.104194, -0.135955, 0.000000, 0.000000, 0.000000], [0.304949, -0.459868, 0.706418, 0.370644, 0.131659, -0.128298, 0.159152, 0.000000, 0.000000, 0.000000], [0.332902, -0.148539, -0.005820, 0.043147, -0.304289, 0.855936, -0.199998, 0.000000, 0.000000, 0.000000], [-0.444349, 0.292608, 0.506164, -0.218221, -0.406432, 0.200091, 0.455948, 0.000000, 0.000000, 0.000000], [0.338486, 0.091549, -0.373479, 0.191302, 0.103047, 0.101380, 0.824661, 0.000000, 0.000000, 0.000000], [-0.230074, 0.478744, 0.025534, 0.820706, 0.065435, 0.117216, -0.160119, 0.000000, 0.000000, 0.000000]]
fourier: [[9.755580, 10.276405, 10.767802, 11.035191, 44.974460], [24.814923, 26.440559, 27.120657, 29.469790, 199.306937], [12.480212, 12.892947, 14.129668, 14.481145, 79.852140], [13.584367, 14.281116, 14.735656, 15.556266, 74.330375], [18.033951, 19.303401, 20.011435, 20.336644, 73.193704], [13.996764, 14.074321, 15.427813, 15.747884, 103.566659], [8.979179, 9.487657, 10.418824, 10.816346, 58.449440]]
### 8
mean: [-0.485034, -1.032543, -1.158821, 1.931923, 0.448847, 1.008527, -1.188771]
std: [0.328128, 0.934585, 0.785847, 1.383473, 0.337607, 0.867927, 1.092813]
pca: [[-0.136752, -0.333061, -0.102936, 0.840580, -0.284353, 0.159371, 0.216664, 0.000000, 0.000000, 0.000000], [-0.396227, -0.329141, 0.409478, -0.052262, 0.250265, 0.555734, -0.439083, 0.000000, 0.000000, 0.000000], [-0.333631, 0.124539, -0.496291, -0.034048, 0.590424, 0.283122, 0.443799, 0.000000, 0.000000, 0.000000], [0.587796, -0.040298, -0.437403, -0.092532, -0.167679, 0.616047, -0.212976, 0.000000, 0.000000, 0.000000], [0.136923, 0.536106, 0.544424, 0.067204, -0.113724, 0.424608, 0.446881, 0.000000, 0.000000, 0.000000], [0.368088, 0.287050, 0.098099, 0.509731, 0.600869, -0.147284, -0.360456, 0.000000, 0.000000, 0.000000], [-0.461793, 0.627531, -0.279436, 0.128962, -0.325296, 0.064066, -0.433952, 0.000000, 0.000000, 0.000000]]
fourier: [[5.312715, 5.751657, 5.932994, 6.094892, 43.653041], [15.014620, 16.135140, 16.679208, 17.608287, 92.928828], [12.978969, 13.234150, 14.189093, 14.615204, 104.293921], [23.034308, 23.101753, 24.857866, 26.093372, 173.873033], [5.691447, 5.693073, 5.955997, 6.284340, 40.396268], [14.052949, 15.058208, 15.482324, 16.140743, 90.767436], [18.260823, 18.949352, 19.868586, 20.317367, 106.989402]]
### 10
mean: [-0.915152]
std: [0.614266]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.704339, 10.477778, 11.238513, 11.558644, 82.363699]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
|
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"fourier": [9.704338635044653, 10.477778471793902, 11.238513462028425, 11.558644060376166, 82.36369948834181]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.161146, 0.314957, 0.403097, -0.066206, -0.111426], [0.442003, 0.203811, -0.110161, 0.503056, -0.334734], [0.070503, -0.487019, 0.25668, 0.032853, -0.394121], [-0.137519, 0.07109, -0.035261, -0.079921, -0.286948], [0.275415, 0.15346, 0.528071, 0.346118, -0.221636], [-0.101778, 0.202875, 0.272721, 0.32806, 0.542873], [0.000112, -0.247199, -0.135176, 0.331066, 0.336688]], "network.0.bias": [0.374829, -0.187337, -0.049169, -0.233093, -0.164208, 0.164411, -0.206644], "network.2.weight": [[0.251178, 0.367813, 0.028961, -0.404303, 0.312202, 0.035949, -0.409455], [-0.009442, 0.142891, 0.253935, -0.118132, 0.135924, -0.342427, 0.189221], [0.115854, -0.24658, -0.162798, 0.199417, -0.169881, 0.432069, 0.161536], [0.166756, -0.280508, 0.087224, -0.105733, -0.386151, 0.461524, 0.294835], [0.21371, -0.043378, -0.129287, -0.022578, 0.035402, -0.261184, 0.054599], [0.390607, 0.218159, -0.237718, -0.528868, 0.341558, -0.286185, 0.029849], [0.58683, 0.487891, 0.214661, -0.573527, 0.037407, 0.269477, -0.156288]], "network.2.bias": [0.367319, -0.360237, 0.10974, 0.166564, -0.251118, 0.471554, 0.204894], "network.4.weight": [[-0.005526, 0.153758, 0.08123, -0.477112, 0.165418, -0.110495, 0.297709], [0.545387, -0.270488, -0.09225, -0.349187, -0.291584, 0.464591, 0.3566], [0.048658, -0.290781, 0.213603, 0.283879, -0.227487, -0.54165, 0.021132], [-0.426759, 0.017437, 0.402225, -0.132598, 0.00404, -0.08149, 0.121476], [0.470006, -0.394449, -0.169836, -0.064721, -0.184319, 0.002622, 0.417332], [-0.170418, -0.311891, -0.046994, 0.233956, -0.257794, 0.363765, -0.229779], [0.433928, 0.147071, -0.294052, 0.207723, -0.130593, -0.032093, -0.268388]], "network.4.bias": [0.36409, 0.232939, 0.38625, 0.37555, 0.159789, -0.142938, 0.018391], "network.6.weight": [[0.102732, -0.324064, 0.147513, 0.040949, 0.012152, 0.003816, 0.101356], [0.490328, 0.316822, -0.111291, 0.084912, 0.534143, 0.010505, 0.012052], [0.028082, -0.077331, -0.391968, -0.306335, 0.497647, -0.389825, 0.033142], [0.178571, 0.368218, -0.137786, -0.205544, -0.041481, -0.461547, -0.128839], [0.066985, -0.555691, 0.147212, 0.445126, 0.052238, -0.130629, -0.371126], [-0.044252, 0.420201, -0.075892, -0.074671, 0.015772, 0.012664, 0.291005], [-0.431325, -0.209639, 0.39544, -0.069524, 0.10565, 0.167871, 0.213843]], "network.6.bias": [0.199854, 0.138969, 0.207158, -0.124962, 0.383727, 0.098718, -0.139464], "network.8.weight": [[0.353418, -0.089301, 0.256, -0.008643, -0.001901, -0.335256, 0.431514], [0.294343, -0.278575, -0.34123, -0.313516, 0.296915, 0.087744, 0.207275], [-0.210189, -0.118893, -0.130739, -0.217621, 0.328598, -0.372878, -0.146042], [-0.145353, 0.566416, 0.393698, 0.226252, -0.132468, -0.02153, -0.393632], [-0.085686, -0.159196, -0.020877, 0.226472, -0.229713, 0.391267, -0.471272], [-0.279164, 0.098027, 0.386313, 0.284989, -0.156256, 0.169793, -0.393252], [-0.160315, -0.403124, -0.233422, 0.056908, -0.003662, -0.418855, -0.107565]], "network.8.bias": [-0.085014, 0.022581, -0.265647, 0.195974, 0.182984, 0.033544, 0.25773], "network.10.weight": [[0.176395, 0.268814, 0.254135, -0.283203, -0.223712, -0.166643, 0.113473]], "network.10.bias": [-0.083972]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6913730502128601, "train_acc": 0.565, "val_loss": 0.6916378736495972, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6828726232051849, "train_acc": 0.57, "val_loss": 0.6899274587631226, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6781889498233795, "train_acc": 0.57, "val_loss": 0.6856875419616699, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6759713292121887, "train_acc": 0.57, "val_loss": 0.6735657453536987, "val_acc": 0.52}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6577834486961365, "train_acc": 0.57, "val_loss": 0.6418421864509583, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6338771283626556, "train_acc": 0.495, "val_loss": 0.5710725784301758, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5411476939916611, "train_acc": 0.76, "val_loss": 0.47505369782447815, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.4713519662618637, "train_acc": 0.86, "val_loss": 0.38412436842918396, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.39309926331043243, "train_acc": 0.885, "val_loss": 0.33646702766418457, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.3190222382545471, "train_acc": 0.885, "val_loss": 0.332870215177536, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.3413153439760208, "train_acc": 0.885, "val_loss": 0.334646612405777, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.30588720738887787, "train_acc": 0.885, "val_loss": 0.29914769530296326, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.3316381722688675, "train_acc": 0.87, "val_loss": 0.30871373414993286, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.2981114834547043, "train_acc": 0.88, "val_loss": 0.3240225315093994, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.31271736323833466, "train_acc": 0.88, "val_loss": 0.32965636253356934, "val_acc": 0.84}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6916378736495972, "final_val_loss": 0.6418421864509583, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5710725784301758, "final_val_loss": 0.32965636253356934, "initial_val_acc": 0.68, "final_val_acc": 0.84, "best_val_acc": 0.9, "best_epoch": 6}, "improvement": 0.38, "first_improvement_epoch": 4}}
|
127
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.6, "improved_accuracy": 0.82, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3884, "learning_rate": 0.02389180819913855, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "vowel_consonant", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["vowel_consonant"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.6.weight": [
[
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],
[
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],
[
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],
[
0.021843,
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[
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]
],
"network.6.bias": [
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],
"network.8.weight": [
[
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0.109903,
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[
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],
[
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[
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[
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],
[
0.083075,
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],
"network.8.bias": [
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"network.10.weight": [
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [2.465086, -1.074638, 1.250664, -1.016581, 0.025893, -0.613339]
std: [1.660521, 0.671004, 1.614041, 1.618567, 1.192474, 0.424511]
pca: [[0.679506, -0.082597, 0.552458, -0.357133, 0.119682, 0.290468, 0.000000, 0.000000, 0.000000, 0.000000], [-0.284380, -0.113209, 0.039852, 0.219855, -0.189711, 0.905758, 0.000000, 0.000000, 0.000000, 0.000000], [0.519612, 0.604730, -0.301608, 0.503731, 0.031646, 0.136354, 0.000000, 0.000000, 0.000000, 0.000000], [-0.394693, 0.736146, 0.525207, -0.150767, -0.053444, -0.029618, 0.000000, 0.000000, 0.000000, 0.000000], [0.009647, -0.269247, 0.570451, 0.728522, -0.089821, -0.251370, 0.000000, 0.000000, 0.000000, 0.000000], [-0.177560, -0.016079, 0.031282, 0.129999, 0.968380, 0.112138, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.841144, 28.191881, 28.452732, 33.785343, 221.857729], [10.793112, 11.461075, 13.194890, 13.345273, 96.717434], [20.729977, 21.876347, 26.468999, 33.058125, 112.559771], [24.965323, 24.987552, 26.089075, 32.675570, 91.492335], [18.862958, 19.092359, 19.182395, 19.958334, 27.656714], [6.195661, 6.285907, 7.998217, 8.377208, 55.200487]]
### 2
mean: [0.947088, -0.677352, 0.523912, 0.705140, -1.073616, 0.320231]
std: [0.910134, 0.551582, 0.276853, 0.719745, 0.840157, 0.701718]
pca: [[-0.500941, 0.575621, -0.533831, 0.111035, -0.143012, 0.316168, 0.000000, 0.000000, 0.000000, 0.000000], [0.430373, 0.119847, -0.303421, 0.311211, 0.759618, 0.185688, 0.000000, 0.000000, 0.000000, 0.000000], [0.036513, 0.099566, 0.289843, 0.907701, -0.273767, -0.076644, 0.000000, 0.000000, 0.000000, 0.000000], [-0.346578, 0.452787, 0.682362, -0.118833, 0.441282, 0.019992, 0.000000, 0.000000, 0.000000, 0.000000], [0.595871, 0.388135, 0.224551, -0.201010, -0.355469, 0.526405, 0.000000, 0.000000, 0.000000, 0.000000], [-0.295509, -0.537326, 0.151362, 0.111223, 0.080577, 0.763008, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.444146, 15.736842, 17.485134, 18.344878, 85.237919], [8.641317, 9.243082, 10.946306, 11.146418, 60.961675], [4.412088, 4.605081, 4.811538, 6.926563, 47.152072], [12.603869, 14.644233, 14.945313, 14.993397, 63.462560], [12.902194, 13.355596, 13.532794, 14.171350, 96.625450], [10.009780, 10.275094, 11.513087, 13.659866, 28.820755]]
### 4
mean: [-0.009469, 1.463322, 0.732598, -0.463060, 0.164609, -0.285730]
std: [0.263268, 0.940386, 0.632385, 0.965745, 0.291914, 0.677541]
pca: [[-0.146296, 0.264738, -0.488296, -0.075494, 0.671421, 0.462140, 0.000000, 0.000000, 0.000000, 0.000000], [-0.568553, 0.340066, 0.120067, 0.735670, -0.051068, -0.053556, 0.000000, 0.000000, 0.000000, 0.000000], [-0.385215, 0.056285, 0.402399, -0.362423, -0.318019, 0.673818, 0.000000, 0.000000, 0.000000, 0.000000], [0.588377, -0.169440, 0.146692, 0.548094, -0.015518, 0.550396, 0.000000, 0.000000, 0.000000, 0.000000], [-0.149582, -0.396499, 0.618928, 0.003718, 0.651678, -0.112445, 0.000000, 0.000000, 0.000000, 0.000000], [0.372010, 0.790683, 0.425013, -0.146011, 0.143263, -0.118105, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.963648, 4.448127, 4.844304, 5.218013, 5.283705], [14.296463, 18.965978, 19.830969, 19.851085, 131.699031], [9.138733, 13.124921, 13.256246, 13.593272, 65.933841], [13.801809, 19.747947, 19.783399, 20.623561, 41.675404], [4.576415, 4.614210, 4.697864, 5.919062, 14.814795], [10.951407, 11.160603, 11.419562, 13.809710, 25.715678]]
### 6
mean: [-0.795100, 1.010174, -0.182350, 1.151706, -1.031260, -1.069022]
std: [0.669448, 0.863655, 0.429170, 0.755670, 0.909246, 0.741426]
pca: [[0.365330, -0.444361, 0.474455, 0.135350, 0.217314, -0.615162, 0.000000, 0.000000, 0.000000, 0.000000], [-0.478115, -0.123943, 0.233467, -0.053315, 0.795996, 0.255119, 0.000000, 0.000000, 0.000000, 0.000000], [0.219744, 0.639188, 0.032667, 0.676385, 0.285318, -0.056409, 0.000000, 0.000000, 0.000000, 0.000000], [-0.414541, -0.408392, 0.149265, 0.684612, -0.369494, 0.184040, 0.000000, 0.000000, 0.000000, 0.000000], [0.499385, -0.457221, -0.538413, 0.205117, 0.285784, 0.357672, 0.000000, 0.000000, 0.000000, 0.000000], [0.410393, 0.052769, 0.638083, -0.102833, -0.139860, 0.625706, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.958193, 13.467187, 13.586020, 14.822797, 71.558960], [12.128650, 17.353315, 17.423799, 18.626484, 90.915638], [6.858794, 7.623239, 7.839770, 9.631518, 16.411505], [11.316701, 14.379921, 14.709642, 16.514592, 103.653574], [13.458657, 18.611614, 18.763487, 19.577337, 92.813356], [10.918492, 14.765234, 15.289665, 15.757584, 96.211995]]
### 8
mean: [-0.282285, -0.896467, 1.213266, -0.544900, -1.037580, -0.615523]
std: [0.214200, 0.614090, 0.719917, 0.156732, 0.773368, 0.445189]
pca: [[0.156176, 0.425780, 0.544685, -0.310177, 0.588990, -0.233493, 0.000000, 0.000000, 0.000000, 0.000000], [0.464225, -0.242800, 0.567012, -0.022323, -0.583369, -0.251443, 0.000000, 0.000000, 0.000000, 0.000000], [-0.544338, 0.271583, 0.543168, 0.376457, -0.201117, 0.390819, 0.000000, 0.000000, 0.000000, 0.000000], [0.097851, 0.673887, -0.258647, 0.401589, -0.257389, -0.491812, 0.000000, 0.000000, 0.000000, 0.000000], [0.585548, -0.053918, 0.031670, 0.635703, 0.335642, 0.369392, 0.000000, 0.000000, 0.000000, 0.000000], [0.333706, 0.478509, -0.137414, -0.442922, -0.305645, 0.592611, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.214834, 4.193777, 4.334881, 4.793341, 25.405659], [8.642527, 12.098984, 12.175428, 13.364470, 80.682070], [10.343745, 14.159047, 14.222284, 15.432312, 109.193963], [2.276704, 2.741803, 2.835400, 3.468464, 49.041021], [10.823538, 15.361341, 15.522953, 16.421134, 93.382248], [6.374720, 8.934742, 8.987371, 9.518344, 55.397030]]
### 10
mean: [-0.379214]
std: [0.454350]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.150706, 8.477391, 8.766692, 9.927860, 34.129216]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
vowel_consonant
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.316611,
0.104364,
0.342784,
0.475356,
0.183026
],
[
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-0.087201,
-0.079036,
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],
[
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0.66134,
0.05928,
0.246746,
0.149273
],
[
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-0.038567,
-0.858238,
0.196225,
0.050405
],
[
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0.12717
],
[
0.001863,
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-0.074963,
0.000758,
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]
],
"network.0.bias": [
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-0.149931,
-0.097628,
0.057168,
-0.182169,
-0.032632
],
"network.2.weight": [
[
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0.546124,
-0.484227
],
[
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-0.576164,
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0.083405,
0.152337
],
[
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],
[
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],
[
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],
[
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]
],
"network.2.bias": [
0.132558,
0.083139,
0.54144,
0.125064,
0.060199,
-0.304437
],
"network.4.weight": [
[
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0.239101,
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0.00334
],
[
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0.415514,
0.526864,
-0.381771,
-0.331326
],
[
0.344667,
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0.368573,
-0.302526,
-0.371217
],
[
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-0.149789,
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0.448658,
0.481047
],
[
0.169768,
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0.01018,
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-0.375077
],
[
-0.325804,
0.083105,
-0.560793,
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0.574773,
0.755176
]
],
"network.4.bias": [
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0.481163,
0.289696,
0.286027,
0.097876,
0.055084
],
"network.6.weight": [
[
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0.274457,
-0.303382,
-0.212953
],
[
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0.203506,
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],
[
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0.481793,
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0.294501
],
[
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0.000333,
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0.371892,
-0.498128
],
[
0.029821,
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0.173126,
-0.27149,
0.046433
],
[
0.357362,
-0.583482,
-0.109802,
0.417688,
-0.360512,
0.051387
]
],
"network.6.bias": [
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0.108132,
-0.035773,
0.411055,
0.044989,
-0.188833
],
"network.8.weight": [
[
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0.071611,
0.109903,
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0.098566
],
[
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0.481606,
-0.115557,
0.125877,
0.441655
],
[
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0.422579,
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-0.288372
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[
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],
[
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0.043998
],
[
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]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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-0.570607,
-0.011845,
0.302726,
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [2.465086, -1.074638, 1.250664, -1.016581, 0.025893, -0.613339]
std: [1.660521, 0.671004, 1.614041, 1.618567, 1.192474, 0.424511]
pca: [[0.679506, -0.082597, 0.552458, -0.357133, 0.119682, 0.290468, 0.000000, 0.000000, 0.000000, 0.000000], [-0.284380, -0.113209, 0.039852, 0.219855, -0.189711, 0.905758, 0.000000, 0.000000, 0.000000, 0.000000], [0.519612, 0.604730, -0.301608, 0.503731, 0.031646, 0.136354, 0.000000, 0.000000, 0.000000, 0.000000], [-0.394693, 0.736146, 0.525207, -0.150767, -0.053444, -0.029618, 0.000000, 0.000000, 0.000000, 0.000000], [0.009647, -0.269247, 0.570451, 0.728522, -0.089821, -0.251370, 0.000000, 0.000000, 0.000000, 0.000000], [-0.177560, -0.016079, 0.031282, 0.129999, 0.968380, 0.112138, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.841144, 28.191881, 28.452732, 33.785343, 221.857729], [10.793112, 11.461075, 13.194890, 13.345273, 96.717434], [20.729977, 21.876347, 26.468999, 33.058125, 112.559771], [24.965323, 24.987552, 26.089075, 32.675570, 91.492335], [18.862958, 19.092359, 19.182395, 19.958334, 27.656714], [6.195661, 6.285907, 7.998217, 8.377208, 55.200487]]
### 2
mean: [0.947088, -0.677352, 0.523912, 0.705140, -1.073616, 0.320231]
std: [0.910134, 0.551582, 0.276853, 0.719745, 0.840157, 0.701718]
pca: [[-0.500941, 0.575621, -0.533831, 0.111035, -0.143012, 0.316168, 0.000000, 0.000000, 0.000000, 0.000000], [0.430373, 0.119847, -0.303421, 0.311211, 0.759618, 0.185688, 0.000000, 0.000000, 0.000000, 0.000000], [0.036513, 0.099566, 0.289843, 0.907701, -0.273767, -0.076644, 0.000000, 0.000000, 0.000000, 0.000000], [-0.346578, 0.452787, 0.682362, -0.118833, 0.441282, 0.019992, 0.000000, 0.000000, 0.000000, 0.000000], [0.595871, 0.388135, 0.224551, -0.201010, -0.355469, 0.526405, 0.000000, 0.000000, 0.000000, 0.000000], [-0.295509, -0.537326, 0.151362, 0.111223, 0.080577, 0.763008, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.444146, 15.736842, 17.485134, 18.344878, 85.237919], [8.641317, 9.243082, 10.946306, 11.146418, 60.961675], [4.412088, 4.605081, 4.811538, 6.926563, 47.152072], [12.603869, 14.644233, 14.945313, 14.993397, 63.462560], [12.902194, 13.355596, 13.532794, 14.171350, 96.625450], [10.009780, 10.275094, 11.513087, 13.659866, 28.820755]]
### 4
mean: [-0.009469, 1.463322, 0.732598, -0.463060, 0.164609, -0.285730]
std: [0.263268, 0.940386, 0.632385, 0.965745, 0.291914, 0.677541]
pca: [[-0.146296, 0.264738, -0.488296, -0.075494, 0.671421, 0.462140, 0.000000, 0.000000, 0.000000, 0.000000], [-0.568553, 0.340066, 0.120067, 0.735670, -0.051068, -0.053556, 0.000000, 0.000000, 0.000000, 0.000000], [-0.385215, 0.056285, 0.402399, -0.362423, -0.318019, 0.673818, 0.000000, 0.000000, 0.000000, 0.000000], [0.588377, -0.169440, 0.146692, 0.548094, -0.015518, 0.550396, 0.000000, 0.000000, 0.000000, 0.000000], [-0.149582, -0.396499, 0.618928, 0.003718, 0.651678, -0.112445, 0.000000, 0.000000, 0.000000, 0.000000], [0.372010, 0.790683, 0.425013, -0.146011, 0.143263, -0.118105, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.963648, 4.448127, 4.844304, 5.218013, 5.283705], [14.296463, 18.965978, 19.830969, 19.851085, 131.699031], [9.138733, 13.124921, 13.256246, 13.593272, 65.933841], [13.801809, 19.747947, 19.783399, 20.623561, 41.675404], [4.576415, 4.614210, 4.697864, 5.919062, 14.814795], [10.951407, 11.160603, 11.419562, 13.809710, 25.715678]]
### 6
mean: [-0.795100, 1.010174, -0.182350, 1.151706, -1.031260, -1.069022]
std: [0.669448, 0.863655, 0.429170, 0.755670, 0.909246, 0.741426]
pca: [[0.365330, -0.444361, 0.474455, 0.135350, 0.217314, -0.615162, 0.000000, 0.000000, 0.000000, 0.000000], [-0.478115, -0.123943, 0.233467, -0.053315, 0.795996, 0.255119, 0.000000, 0.000000, 0.000000, 0.000000], [0.219744, 0.639188, 0.032667, 0.676385, 0.285318, -0.056409, 0.000000, 0.000000, 0.000000, 0.000000], [-0.414541, -0.408392, 0.149265, 0.684612, -0.369494, 0.184040, 0.000000, 0.000000, 0.000000, 0.000000], [0.499385, -0.457221, -0.538413, 0.205117, 0.285784, 0.357672, 0.000000, 0.000000, 0.000000, 0.000000], [0.410393, 0.052769, 0.638083, -0.102833, -0.139860, 0.625706, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.958193, 13.467187, 13.586020, 14.822797, 71.558960], [12.128650, 17.353315, 17.423799, 18.626484, 90.915638], [6.858794, 7.623239, 7.839770, 9.631518, 16.411505], [11.316701, 14.379921, 14.709642, 16.514592, 103.653574], [13.458657, 18.611614, 18.763487, 19.577337, 92.813356], [10.918492, 14.765234, 15.289665, 15.757584, 96.211995]]
### 8
mean: [-0.282285, -0.896467, 1.213266, -0.544900, -1.037580, -0.615523]
std: [0.214200, 0.614090, 0.719917, 0.156732, 0.773368, 0.445189]
pca: [[0.156176, 0.425780, 0.544685, -0.310177, 0.588990, -0.233493, 0.000000, 0.000000, 0.000000, 0.000000], [0.464225, -0.242800, 0.567012, -0.022323, -0.583369, -0.251443, 0.000000, 0.000000, 0.000000, 0.000000], [-0.544338, 0.271583, 0.543168, 0.376457, -0.201117, 0.390819, 0.000000, 0.000000, 0.000000, 0.000000], [0.097851, 0.673887, -0.258647, 0.401589, -0.257389, -0.491812, 0.000000, 0.000000, 0.000000, 0.000000], [0.585548, -0.053918, 0.031670, 0.635703, 0.335642, 0.369392, 0.000000, 0.000000, 0.000000, 0.000000], [0.333706, 0.478509, -0.137414, -0.442922, -0.305645, 0.592611, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.214834, 4.193777, 4.334881, 4.793341, 25.405659], [8.642527, 12.098984, 12.175428, 13.364470, 80.682070], [10.343745, 14.159047, 14.222284, 15.432312, 109.193963], [2.276704, 2.741803, 2.835400, 3.468464, 49.041021], [10.823538, 15.361341, 15.522953, 16.421134, 93.382248], [6.374720, 8.934742, 8.987371, 9.518344, 55.397030]]
### 10
mean: [-0.379214]
std: [0.454350]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.150706, 8.477391, 8.766692, 9.927860, 34.129216]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
vowel_consonant
|
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{"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.316611, 0.104364, 0.342784, 0.475356, 0.183026], [-0.01558, -0.282249, -0.087201, -0.079036, -0.03191], [-0.557584, 0.66134, 0.05928, 0.246746, 0.149273], [0.24616, -0.038567, -0.858238, 0.196225, 0.050405], [-0.020916, -0.607902, 0.181724, 0.375566, 0.12717], [0.001863, -0.167581, -0.074963, 0.000758, -0.099479]], "network.0.bias": [-0.080236, -0.149931, -0.097628, 0.057168, -0.182169, -0.032632], "network.2.weight": [[0.411795, -0.756676, -0.363005, -0.440933, 0.546124, -0.484227], [-0.272177, -0.576164, -0.107272, -0.315797, 0.083405, 0.152337], [0.051971, -0.432141, -0.077132, -0.589039, -0.219342, -0.420469], [0.478173, -0.349437, -0.395311, 0.051736, -0.283882, -0.053429], [-0.205166, 0.009785, -0.424486, 0.064684, -0.216427, -0.082679], [0.029956, 0.35885, 0.472149, 0.15609, -0.113953, 0.134629]], "network.2.bias": [0.132558, 0.083139, 0.54144, 0.125064, 0.060199, -0.304437], "network.4.weight": [[0.12121, 0.076042, 0.177813, 0.239101, 0.357616, 0.00334], [0.562526, -0.640949, 0.415514, 0.526864, -0.381771, -0.331326], [0.344667, -0.268467, -0.064412, 0.368573, -0.302526, -0.371217], [-0.531615, -0.301644, -0.149789, -0.595324, 0.448658, 0.481047], [0.169768, -0.573478, 0.01018, -0.06158, -0.125157, -0.375077], [-0.325804, 0.083105, -0.560793, -0.029944, 0.574773, 0.755176]], "network.4.bias": [-0.295404, 0.481163, 0.289696, 0.286027, 0.097876, 0.055084], "network.6.weight": [[0.393768, -0.49123, -0.345055, 0.274457, -0.303382, -0.212953], [-0.101766, 0.466782, 0.416609, -0.329078, 0.203506, -0.295814], [-0.245801, -0.056718, -0.133209, 0.481793, -0.174585, 0.294501], [0.021843, 0.525274, 0.000333, -0.20661, 0.371892, -0.498128], [0.029821, -0.441105, -0.695944, 0.173126, -0.27149, 0.046433], [0.357362, -0.583482, -0.109802, 0.417688, -0.360512, 0.051387]], "network.6.bias": [0.120557, 0.108132, -0.035773, 0.411055, 0.044989, -0.188833], "network.8.weight": [[-0.150407, -0.358155, 0.071611, 0.109903, -0.119417, 0.098566], [-0.151595, -0.539546, 0.481606, -0.115557, 0.125877, 0.441655], [-0.458924, 0.418115, -0.303323, 0.422579, -0.269275, -0.288372], [-0.261905, 0.11939, -0.308954, -0.428871, 0.083923, -0.145758], [-0.194155, -0.314819, 0.535088, -0.595134, 0.224973, 0.043998], [0.083075, -0.349361, -0.157632, -0.270738, 0.110499, 0.270287]], "network.8.bias": [-0.070006, -0.216529, 0.267049, -0.230086, -0.084301, 0.048135], "network.10.weight": [[0.005979, 0.441056, -0.570607, -0.011845, 0.302726, 0.180601]], "network.10.bias": [0.349586]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7041445672512054, "train_acc": 0.44, "val_loss": 0.6987131237983704, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6946365833282471, "train_acc": 0.46, "val_loss": 0.682098388671875, "val_acc": 0.6}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6838571131229401, "train_acc": 0.56, "val_loss": 0.6660735607147217, "val_acc": 0.6}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6819153428077698, "train_acc": 0.56, "val_loss": 0.6539167165756226, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.7033645510673523, "train_acc": 0.475, "val_loss": 0.6674134135246277, "val_acc": 0.6}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6843584775924683, "train_acc": 0.535, "val_loss": 0.678692102432251, "val_acc": 0.64}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.6770737171173096, "train_acc": 0.65, "val_loss": 0.680167019367218, "val_acc": 0.5}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.6641806960105896, "train_acc": 0.61, "val_loss": 0.6570013165473938, "val_acc": 0.68}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.6366858780384064, "train_acc": 0.685, "val_loss": 0.5927472114562988, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.6081610918045044, "train_acc": 0.725, "val_loss": 0.5173259377479553, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.5688212811946869, "train_acc": 0.705, "val_loss": 0.47741422057151794, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.5756287574768066, "train_acc": 0.755, "val_loss": 0.47721853852272034, "val_acc": 0.78}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.5220913738012314, "train_acc": 0.76, "val_loss": 0.44798755645751953, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.5330725014209747, "train_acc": 0.75, "val_loss": 0.4530729353427887, "val_acc": 0.78}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.6987131237983704, "final_val_loss": 0.6539167165756226, "initial_val_acc": 0.4, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.6674134135246277, "final_val_loss": 0.4530729353427887, "initial_val_acc": 0.6, "final_val_acc": 0.78, "best_val_acc": 0.82, "best_epoch": 9}, "improvement": 0.21999999999999997, "first_improvement_epoch": 3}}
|
128
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.46, "improved_accuracy": 0.96, "improvement": 0.49999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8276, "learning_rate": 0.04202557319791031, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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],
[
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[
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],
"network.0.bias": [
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[
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[
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],
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[
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[
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[
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[
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[
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],
"network.8.bias": [
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"network.10.weight": [
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"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-2.308434, 4.076994, -2.893915, 0.891046, 0.768599, 4.224588]
std: [1.223118, 2.633204, 1.921883, 2.404275, 2.669384, 3.253889]
pca: [[-0.180976, -0.294856, -0.103980, -0.462913, -0.092933, 0.804096, 0.000000, 0.000000, 0.000000, 0.000000], [0.504434, 0.027283, -0.408224, -0.497541, 0.554645, -0.151580, 0.000000, 0.000000, 0.000000, 0.000000], [-0.327175, -0.377533, -0.092097, 0.472886, 0.708095, 0.130091, 0.000000, 0.000000, 0.000000, 0.000000], [-0.160737, 0.847989, 0.170964, 0.009078, 0.331484, 0.340420, 0.000000, 0.000000, 0.000000, 0.000000], [0.398041, -0.219360, 0.853082, -0.090275, 0.221108, 0.093046, 0.000000, 0.000000, 0.000000, 0.000000], [0.649212, 0.050791, -0.238918, 0.553454, -0.153506, 0.434725, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.828125, 22.001925, 24.608974, 25.657145, 207.759029], [41.214388, 46.186522, 49.885834, 53.020935, 366.929500], [29.566668, 32.394941, 32.562721, 39.585551, 260.452386], [35.418191, 36.560348, 37.013584, 39.115881, 80.194107], [42.562523, 47.747535, 50.650918, 52.146479, 69.173952], [50.895757, 51.210241, 62.530328, 62.966978, 380.212993]]
### 2
mean: [1.848734, -4.075574, -1.096903, -6.983100, -2.228803, -3.937433]
std: [2.070855, 4.505336, 2.132694, 6.479424, 1.060336, 3.126423]
pca: [[-0.224482, -0.206702, 0.593284, -0.147254, -0.513295, 0.519365, 0.000000, 0.000000, 0.000000, 0.000000], [0.499690, 0.335824, 0.438482, -0.225186, 0.540853, 0.319429, 0.000000, 0.000000, 0.000000, 0.000000], [0.223374, 0.634988, -0.432171, -0.031039, -0.477267, 0.362457, 0.000000, 0.000000, 0.000000, 0.000000], [0.721406, -0.369832, 0.011909, -0.304897, -0.386186, -0.317102, 0.000000, 0.000000, 0.000000, 0.000000], [0.091516, -0.539827, -0.500001, -0.103656, 0.250296, 0.613855, 0.000000, 0.000000, 0.000000, 0.000000], [0.348166, -0.114448, 0.137233, 0.907159, -0.066591, 0.139563, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.847074, 34.083996, 36.352827, 37.567079, 166.386065], [74.139643, 76.133236, 82.317663, 86.423977, 366.801677], [33.306089, 34.975328, 37.292247, 45.040701, 98.721235], [107.366861, 108.793279, 116.361355, 121.753822, 628.478965], [16.398603, 17.145455, 18.517207, 20.724768, 200.592253], [52.275561, 53.977319, 55.432469, 58.812387, 354.369039]]
### 4
mean: [0.953406, -0.208073, 1.587267, 0.010549, -0.660729, 1.253416]
std: [0.856054, 0.950953, 1.066679, 1.320401, 0.340290, 1.387025]
pca: [[0.352582, -0.163595, -0.023054, -0.053281, 0.771869, -0.499771, 0.000000, 0.000000, 0.000000, 0.000000], [-0.388011, 0.223915, -0.334407, 0.531085, 0.503629, 0.389601, 0.000000, 0.000000, 0.000000, 0.000000], [0.408549, 0.467953, 0.396804, 0.631653, -0.152236, -0.185721, 0.000000, 0.000000, 0.000000, 0.000000], [-0.494277, 0.647431, 0.276519, -0.384843, 0.151544, -0.298312, 0.000000, 0.000000, 0.000000, 0.000000], [-0.082495, -0.285935, 0.795053, -0.035090, 0.285488, 0.443386, 0.000000, 0.000000, 0.000000, 0.000000], [0.554172, 0.450768, -0.147019, -0.408398, 0.151431, 0.527605, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.178512, 15.682415, 15.789639, 17.060329, 85.806536], [17.068701, 17.396104, 17.396342, 18.710967, 18.726607], [16.547540, 16.678339, 19.881429, 21.016524, 142.854029], [22.989773, 23.036788, 23.186353, 24.103210, 25.665605], [5.429372, 5.862445, 6.271608, 6.419761, 59.465628], [21.917329, 23.042120, 23.511432, 27.329326, 112.807444]]
### 6
mean: [-1.364559, 1.129822, 1.774972, 0.877382, 2.195850, 0.588891]
std: [0.833128, 0.910199, 1.911548, 1.225870, 1.712785, 1.179841]
pca: [[-0.185410, -0.395708, 0.598916, 0.306838, -0.494989, -0.333428, 0.000000, 0.000000, 0.000000, 0.000000], [0.295014, -0.191936, 0.189623, 0.499075, 0.734582, -0.226898, 0.000000, 0.000000, 0.000000, 0.000000], [0.642664, 0.260152, -0.280461, 0.098406, -0.355126, -0.552129, 0.000000, 0.000000, 0.000000, 0.000000], [-0.197969, 0.674261, 0.505453, -0.284806, 0.209125, -0.354754, 0.000000, 0.000000, 0.000000, 0.000000], [0.582582, 0.169332, 0.497014, 0.020297, -0.145642, 0.602726, 0.000000, 0.000000, 0.000000, 0.000000], [-0.294922, 0.505564, -0.155496, 0.752040, -0.155933, 0.208249, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.928880, 14.967012, 15.168979, 15.296248, 122.810297], [16.076861, 16.302301, 16.659013, 17.423727, 101.683996], [30.081966, 30.729046, 32.659960, 38.420967, 159.747457], [16.638178, 17.995140, 18.122893, 20.842282, 78.964346], [27.806275, 27.826776, 29.767329, 34.486681, 197.626528], [17.920414, 18.951459, 21.163562, 21.243456, 53.000152]]
### 8
mean: [4.526604, -0.705998, 0.575517, -1.191938, 1.689971, -1.513363]
std: [3.470377, 0.437565, 1.542197, 0.502284, 1.603066, 0.809531]
pca: [[0.878224, 0.274360, 0.131680, 0.227750, 0.256285, -0.136229, 0.000000, 0.000000, 0.000000, 0.000000], [-0.044459, -0.241637, -0.414387, 0.858960, -0.166081, -0.050230, 0.000000, 0.000000, 0.000000, 0.000000], [-0.257836, 0.704527, 0.263718, 0.334693, -0.035532, 0.504315, 0.000000, 0.000000, 0.000000, 0.000000], [-0.040647, -0.284589, 0.832430, 0.241946, -0.327480, -0.242151, 0.000000, 0.000000, 0.000000, 0.000000], [0.386305, -0.319635, -0.028719, -0.132757, -0.469285, 0.714090, 0.000000, 0.000000, 0.000000, 0.000000], [-0.096867, -0.432231, 0.218250, 0.148781, 0.760264, 0.394998, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[59.832201, 60.110042, 61.390376, 67.360940, 407.394366], [7.366211, 8.025220, 8.192638, 8.402993, 63.539803], [21.074918, 22.527671, 25.926171, 27.729327, 51.796539], [8.655480, 9.000065, 9.169337, 9.180664, 107.274437], [28.378555, 28.905576, 29.165653, 30.959033, 152.097344], [14.422687, 14.670625, 14.833260, 15.004345, 136.202680]]
### 10
mean: [-6.402808]
std: [4.435538]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[78.437653, 78.792939, 78.945123, 83.189130, 576.252693]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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}
## Activation Signature
### 0
mean: [-2.308434, 4.076994, -2.893915, 0.891046, 0.768599, 4.224588]
std: [1.223118, 2.633204, 1.921883, 2.404275, 2.669384, 3.253889]
pca: [[-0.180976, -0.294856, -0.103980, -0.462913, -0.092933, 0.804096, 0.000000, 0.000000, 0.000000, 0.000000], [0.504434, 0.027283, -0.408224, -0.497541, 0.554645, -0.151580, 0.000000, 0.000000, 0.000000, 0.000000], [-0.327175, -0.377533, -0.092097, 0.472886, 0.708095, 0.130091, 0.000000, 0.000000, 0.000000, 0.000000], [-0.160737, 0.847989, 0.170964, 0.009078, 0.331484, 0.340420, 0.000000, 0.000000, 0.000000, 0.000000], [0.398041, -0.219360, 0.853082, -0.090275, 0.221108, 0.093046, 0.000000, 0.000000, 0.000000, 0.000000], [0.649212, 0.050791, -0.238918, 0.553454, -0.153506, 0.434725, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.828125, 22.001925, 24.608974, 25.657145, 207.759029], [41.214388, 46.186522, 49.885834, 53.020935, 366.929500], [29.566668, 32.394941, 32.562721, 39.585551, 260.452386], [35.418191, 36.560348, 37.013584, 39.115881, 80.194107], [42.562523, 47.747535, 50.650918, 52.146479, 69.173952], [50.895757, 51.210241, 62.530328, 62.966978, 380.212993]]
### 2
mean: [1.848734, -4.075574, -1.096903, -6.983100, -2.228803, -3.937433]
std: [2.070855, 4.505336, 2.132694, 6.479424, 1.060336, 3.126423]
pca: [[-0.224482, -0.206702, 0.593284, -0.147254, -0.513295, 0.519365, 0.000000, 0.000000, 0.000000, 0.000000], [0.499690, 0.335824, 0.438482, -0.225186, 0.540853, 0.319429, 0.000000, 0.000000, 0.000000, 0.000000], [0.223374, 0.634988, -0.432171, -0.031039, -0.477267, 0.362457, 0.000000, 0.000000, 0.000000, 0.000000], [0.721406, -0.369832, 0.011909, -0.304897, -0.386186, -0.317102, 0.000000, 0.000000, 0.000000, 0.000000], [0.091516, -0.539827, -0.500001, -0.103656, 0.250296, 0.613855, 0.000000, 0.000000, 0.000000, 0.000000], [0.348166, -0.114448, 0.137233, 0.907159, -0.066591, 0.139563, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.847074, 34.083996, 36.352827, 37.567079, 166.386065], [74.139643, 76.133236, 82.317663, 86.423977, 366.801677], [33.306089, 34.975328, 37.292247, 45.040701, 98.721235], [107.366861, 108.793279, 116.361355, 121.753822, 628.478965], [16.398603, 17.145455, 18.517207, 20.724768, 200.592253], [52.275561, 53.977319, 55.432469, 58.812387, 354.369039]]
### 4
mean: [0.953406, -0.208073, 1.587267, 0.010549, -0.660729, 1.253416]
std: [0.856054, 0.950953, 1.066679, 1.320401, 0.340290, 1.387025]
pca: [[0.352582, -0.163595, -0.023054, -0.053281, 0.771869, -0.499771, 0.000000, 0.000000, 0.000000, 0.000000], [-0.388011, 0.223915, -0.334407, 0.531085, 0.503629, 0.389601, 0.000000, 0.000000, 0.000000, 0.000000], [0.408549, 0.467953, 0.396804, 0.631653, -0.152236, -0.185721, 0.000000, 0.000000, 0.000000, 0.000000], [-0.494277, 0.647431, 0.276519, -0.384843, 0.151544, -0.298312, 0.000000, 0.000000, 0.000000, 0.000000], [-0.082495, -0.285935, 0.795053, -0.035090, 0.285488, 0.443386, 0.000000, 0.000000, 0.000000, 0.000000], [0.554172, 0.450768, -0.147019, -0.408398, 0.151431, 0.527605, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.178512, 15.682415, 15.789639, 17.060329, 85.806536], [17.068701, 17.396104, 17.396342, 18.710967, 18.726607], [16.547540, 16.678339, 19.881429, 21.016524, 142.854029], [22.989773, 23.036788, 23.186353, 24.103210, 25.665605], [5.429372, 5.862445, 6.271608, 6.419761, 59.465628], [21.917329, 23.042120, 23.511432, 27.329326, 112.807444]]
### 6
mean: [-1.364559, 1.129822, 1.774972, 0.877382, 2.195850, 0.588891]
std: [0.833128, 0.910199, 1.911548, 1.225870, 1.712785, 1.179841]
pca: [[-0.185410, -0.395708, 0.598916, 0.306838, -0.494989, -0.333428, 0.000000, 0.000000, 0.000000, 0.000000], [0.295014, -0.191936, 0.189623, 0.499075, 0.734582, -0.226898, 0.000000, 0.000000, 0.000000, 0.000000], [0.642664, 0.260152, -0.280461, 0.098406, -0.355126, -0.552129, 0.000000, 0.000000, 0.000000, 0.000000], [-0.197969, 0.674261, 0.505453, -0.284806, 0.209125, -0.354754, 0.000000, 0.000000, 0.000000, 0.000000], [0.582582, 0.169332, 0.497014, 0.020297, -0.145642, 0.602726, 0.000000, 0.000000, 0.000000, 0.000000], [-0.294922, 0.505564, -0.155496, 0.752040, -0.155933, 0.208249, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.928880, 14.967012, 15.168979, 15.296248, 122.810297], [16.076861, 16.302301, 16.659013, 17.423727, 101.683996], [30.081966, 30.729046, 32.659960, 38.420967, 159.747457], [16.638178, 17.995140, 18.122893, 20.842282, 78.964346], [27.806275, 27.826776, 29.767329, 34.486681, 197.626528], [17.920414, 18.951459, 21.163562, 21.243456, 53.000152]]
### 8
mean: [4.526604, -0.705998, 0.575517, -1.191938, 1.689971, -1.513363]
std: [3.470377, 0.437565, 1.542197, 0.502284, 1.603066, 0.809531]
pca: [[0.878224, 0.274360, 0.131680, 0.227750, 0.256285, -0.136229, 0.000000, 0.000000, 0.000000, 0.000000], [-0.044459, -0.241637, -0.414387, 0.858960, -0.166081, -0.050230, 0.000000, 0.000000, 0.000000, 0.000000], [-0.257836, 0.704527, 0.263718, 0.334693, -0.035532, 0.504315, 0.000000, 0.000000, 0.000000, 0.000000], [-0.040647, -0.284589, 0.832430, 0.241946, -0.327480, -0.242151, 0.000000, 0.000000, 0.000000, 0.000000], [0.386305, -0.319635, -0.028719, -0.132757, -0.469285, 0.714090, 0.000000, 0.000000, 0.000000, 0.000000], [-0.096867, -0.432231, 0.218250, 0.148781, 0.760264, 0.394998, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[59.832201, 60.110042, 61.390376, 67.360940, 407.394366], [7.366211, 8.025220, 8.192638, 8.402993, 63.539803], [21.074918, 22.527671, 25.926171, 27.729327, 51.796539], [8.655480, 9.000065, 9.169337, 9.180664, 107.274437], [28.378555, 28.905576, 29.165653, 30.959033, 152.097344], [14.422687, 14.670625, 14.833260, 15.004345, 136.202680]]
### 10
mean: [-6.402808]
std: [4.435538]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[78.437653, 78.792939, 78.945123, 83.189130, 576.252693]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.308433771133423, "std": 1.2231184244155884, "pca": [-0.18097645044326782, -0.29485607147216797, -0.10397989302873611, -0.4629133939743042, -0.0929333046078682, 0.8040958642959595, 0.0, 0.0, 0.0, 0.0], "fourier": [17.82812539723344, 22.001925071672876, 24.608974482052684, 25.657144911864425, 207.7590287923813]}, "1": {"mean": 4.0769944190979, "std": 2.6332037448883057, "pca": [0.5044344663619995, 0.02728252485394478, -0.4082244336605072, -0.4975407123565674, 0.5546448826789856, -0.15158046782016754, 0.0, 0.0, 0.0, 0.0], "fourier": [41.214387675188796, 46.18652208430533, 49.885833912762756, 53.020934910251015, 366.9295004606247]}, "2": {"mean": -2.8939154148101807, "std": 1.921883463859558, "pca": [-0.3271751403808594, -0.3775334358215332, -0.09209723025560379, 0.47288569808006287, 0.7080950140953064, 0.13009077310562134, 0.0, 0.0, 0.0, 0.0], "fourier": [29.566668482223168, 32.39494121620074, 32.56272061092185, 39.58555090584475, 260.45238573430106]}, "3": {"mean": 0.8910456299781799, "std": 2.4042749404907227, "pca": [-0.16073715686798096, 0.847989022731781, 0.17096401751041412, 0.009078343398869038, 0.33148351311683655, 0.3404198884963989, 0.0, 0.0, 0.0, 0.0], "fourier": [35.4181911859437, 36.560347899295216, 37.01358433614253, 39.11588058363695, 80.19410741329193]}, "4": {"mean": 0.7685993909835815, "std": 2.669384479522705, "pca": [0.3980410099029541, -0.2193603217601776, 0.8530817627906799, -0.09027545154094696, 0.22110766172409058, 0.0930464118719101, 0.0, 0.0, 0.0, 0.0], "fourier": [42.562522685718676, 47.747535207264455, 50.650918008189514, 52.146478569177454, 69.17395180463791]}, "5": {"mean": 4.224588394165039, "std": 3.2538886070251465, "pca": [0.6492123603820801, 0.0507906898856163, -0.23891814053058624, 0.5534541606903076, -0.15350577235221863, 0.43472546339035034, 0.0, 0.0, 0.0, 0.0], "fourier": [50.89575735764106, 51.210240752511325, 62.53032784765455, 62.966977693508724, 380.212992509827]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": 1.8487340211868286, "std": 2.070854902267456, "pca": [-0.22448202967643738, -0.20670194923877716, 0.5932839512825012, -0.1472543627023697, -0.5132951736450195, 0.5193654894828796, 0.0, 0.0, 0.0, 0.0], "fourier": [33.84707383731503, 34.08399588016074, 36.35282658983295, 37.56707934033077, 166.3860653936863]}, "1": {"mean": -4.075573921203613, "std": 4.505336284637451, "pca": [0.49969008564949036, 0.3358241617679596, 0.43848153948783875, -0.2251858115196228, 0.5408531427383423, 0.3194293677806854, 0.0, 0.0, 0.0, 0.0], "fourier": [74.13964266558028, 76.13323612278509, 82.31766276807667, 86.42397723659202, 366.80167673528194]}, "2": {"mean": -1.0969027280807495, "std": 2.1326944828033447, "pca": [0.223374143242836, 0.6349877715110779, -0.43217143416404724, -0.031038524582982063, -0.47726744413375854, 0.3624565899372101, 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"num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.270992, -0.050484, -0.150778, -0.222852, -0.353513], [0.35839, 0.932055, 0.436758, 0.283467, -0.134804], [-0.280906, -0.226008, -0.5088, -0.289112, -0.36822], [-0.322248, -0.67581, 0.116499, 0.543031, 0.883896], [0.801723, 0.255826, 0.468023, -0.616913, 0.201896], [0.790993, 0.960487, 0.392017, 0.304345, -0.01827]], "network.0.bias": [-0.650354, 0.578625, 0.004441, 0.025551, -0.598989, 0.041022], "network.2.weight": [[0.145058, 0.123455, 0.275936, -0.011502, 0.544861, 0.253078], [-0.361297, -0.481519, -0.246116, 0.609964, -0.764578, -0.554634], [0.356674, -0.05732, 0.188461, 0.182003, -0.734405, -0.175306], [-0.234509, -0.878288, 0.439066, 0.427316, -0.814328, -0.87931], [-0.027939, -0.227113, -0.424455, -0.259673, 0.024748, -0.136282], [0.084846, -0.205603, 0.13575, 0.286692, -0.329467, -0.615465]], "network.2.bias": [-0.494463, 0.481576, 0.683097, 0.89028, -0.399478, -0.424456], "network.4.weight": [[0.262805, -0.468699, -0.390046, -0.453006, 0.295388, -0.210082], [-0.287006, 0.586387, 0.239252, 0.74583, 0.109677, 0.076552], [0.554649, -0.341741, 0.384791, 0.331949, 0.298685, -0.318286], [-0.21367, 0.945572, 1.012181, 1.00545, 0.014829, -0.065061], [-0.144202, -0.285202, 0.293138, -0.326905, -0.105129, -0.054074], [0.656488, -0.222893, -0.084783, -0.019736, 0.167157, -0.359481]], "network.4.bias": [0.663734, 0.125529, 0.463427, -0.066091, -0.390428, 0.066598], "network.6.weight": [[-0.024236, -0.009774, -0.374148, -0.341581, 0.396798, -0.353409], [0.590794, -0.303331, 0.271433, -0.387717, 0.030316, -0.178653], [0.44416, 0.037653, 0.548505, -0.374528, 0.373184, 0.636288], [-0.071532, 0.815484, 0.352596, 0.731428, -0.129045, 0.045076], [0.561494, 0.168706, 0.36871, -0.492501, -0.403432, 0.544699], [0.039352, 0.652762, 0.687332, 0.710613, 0.303532, -0.577197]], "network.6.bias": [-0.144754, 0.55969, -0.214778, -0.163193, 0.509887, -0.2513], "network.8.weight": [[0.031918, 0.681762, 0.530152, -0.209264, 1.038119, -0.511768], [0.402167, 0.047006, -0.403253, -0.345229, 0.251075, 0.168722], [0.142702, -0.382762, 0.193589, 0.613958, -0.103964, 0.602266], [-0.135461, -0.411507, 0.100852, -0.082487, -0.284984, -0.347488], [-0.053124, 0.374218, 0.08992, -0.471046, 0.311526, -0.409798], [0.235632, -0.197055, -0.210169, -0.117844, -0.217735, -0.374767]], "network.8.bias": [0.868053, -0.373882, 0.020873, 0.037321, 1.023596, -0.070629], "network.10.weight": [[-0.929365, -0.082083, 0.46386, -0.125424, -1.049792, -0.059122]], "network.10.bias": [-0.410825]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6867785453796387, "train_acc": 0.57, "val_loss": 0.7037135362625122, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6825882792472839, "train_acc": 0.57, "val_loss": 0.7099632024765015, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6819934248924255, "train_acc": 0.57, "val_loss": 0.7047656178474426, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6741324365139008, "train_acc": 0.57, "val_loss": 0.6791502237319946, "val_acc": 0.46}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6576060652732849, "train_acc": 0.57, "val_loss": 0.6355042457580566, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6105804443359375, "train_acc": 0.61, "val_loss": 0.5027770400047302, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.500722125172615, "train_acc": 0.84, "val_loss": 0.35754334926605225, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.39245232939720154, "train_acc": 0.865, "val_loss": 0.2809945046901703, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.32738350331783295, "train_acc": 0.885, "val_loss": 0.24298034608364105, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.29602864384651184, "train_acc": 0.895, "val_loss": 0.21361732482910156, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.25205496698617935, "train_acc": 0.9, "val_loss": 0.20408843457698822, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.23375209420919418, "train_acc": 0.905, "val_loss": 0.22530488669872284, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.20438691228628159, "train_acc": 0.915, "val_loss": 0.16129527986049652, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.1978975459933281, "train_acc": 0.92, "val_loss": 0.16852295398712158, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.1951102539896965, "train_acc": 0.935, "val_loss": 0.16435107588768005, "val_acc": 0.94}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.7037135362625122, "final_val_loss": 0.6355042457580566, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5027770400047302, "final_val_loss": 0.16435107588768005, "initial_val_acc": 0.84, "final_val_acc": 0.94, "best_val_acc": 0.96, "best_epoch": 12}, "improvement": 0.49999999999999994, "first_improvement_epoch": 4}}
|
129
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.72, "improved_accuracy": 0.92, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4916, "learning_rate": 0.08647722713598913, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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"network.2.weight": [
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"network.4.weight": [
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}
## Activation Signature
### 0
mean: [0.934630, 0.532888, 3.016575, -2.562659, 0.949204, -4.027196, -1.785154]
std: [2.154853, 1.602050, 3.279186, 2.535961, 3.264868, 2.540854, 2.456456]
pca: [[0.355677, 0.213041, 0.235358, -0.266338, 0.359549, 0.749626, -0.102783, 0.000000, 0.000000, 0.000000], [0.134017, -0.299929, 0.468204, -0.010604, 0.267996, -0.153473, 0.759854, 0.000000, 0.000000, 0.000000], [0.573818, -0.301002, 0.184525, 0.232532, 0.298720, -0.375467, -0.511665, 0.000000, 0.000000, 0.000000], [-0.430468, 0.201845, -0.071231, -0.349427, 0.726585, -0.320736, -0.126434, 0.000000, 0.000000, 0.000000], [0.496561, 0.514033, -0.069946, -0.493349, -0.241189, -0.397909, 0.156231, 0.000000, 0.000000, 0.000000], [-0.300077, 0.244569, 0.825407, -0.034282, -0.276714, -0.104557, -0.283136, 0.000000, 0.000000, 0.000000], [0.065919, 0.639741, -0.008921, 0.712891, 0.216797, -0.037358, 0.172329, 0.000000, 0.000000, 0.000000]]
fourier: [[33.593597, 33.923095, 34.421773, 37.177943, 84.116726], [23.293997, 27.081790, 32.998796, 33.372450, 47.959923], [53.553759, 56.730253, 59.375320, 62.773604, 271.491789], [41.365714, 43.013225, 44.059297, 50.545324, 230.639283], [46.968610, 49.685183, 58.967652, 65.709325, 85.428329], [40.523493, 42.563983, 47.937467, 50.289001, 362.447693], [36.630604, 41.012758, 41.087805, 47.371217, 160.663827]]
### 2
mean: [-0.531765, 3.307655, 0.972082, 7.010765, -0.819080, -0.953904, -3.275437]
std: [0.634404, 4.041692, 1.591211, 8.521031, 0.235549, 1.646500, 2.955859]
pca: [[-0.047877, 0.268797, -0.271826, 0.113467, -0.128534, 0.867115, 0.265110, 0.000000, 0.000000, 0.000000], [0.396955, 0.481917, -0.147949, -0.356529, 0.227104, -0.270825, 0.579878, 0.000000, 0.000000, 0.000000], [0.153089, -0.103117, -0.473715, -0.411553, 0.524624, 0.180706, -0.514067, 0.000000, 0.000000, 0.000000], [0.847557, 0.086595, 0.283660, 0.218925, -0.160055, 0.151777, -0.311617, 0.000000, 0.000000, 0.000000], [-0.012969, 0.012196, 0.096707, 0.652319, 0.738584, 0.007524, 0.138738, 0.000000, 0.000000, 0.000000], [-0.137552, 0.629153, -0.427277, 0.361927, -0.202937, -0.299218, -0.375465, 0.000000, 0.000000, 0.000000], [-0.281527, 0.530462, 0.638306, -0.293595, 0.210632, 0.171719, -0.268079, 0.000000, 0.000000, 0.000000]]
fourier: [[10.557898, 10.720770, 11.750505, 13.420948, 47.858822], [66.454864, 67.706206, 77.478398, 81.538368, 297.688984], [26.428840, 26.707419, 32.499088, 32.819212, 87.487414], [145.080351, 148.325249, 151.255395, 163.455593, 630.968892], [3.797626, 4.328303, 4.506584, 5.274908, 73.717218], [26.161622, 30.101626, 30.126488, 34.130241, 85.851373], [51.060906, 51.394713, 53.255214, 54.580902, 294.789339]]
### 4
mean: [-3.759295, -1.435571, -5.882235, -3.803668, 8.792261, -4.054393, 10.373936]
std: [4.236002, 1.098248, 7.038306, 4.748549, 11.573596, 4.092333, 13.220664]
pca: [[-0.205650, 0.838290, -0.395262, 0.180895, -0.006681, -0.150416, -0.208216, 0.000000, 0.000000, 0.000000], [-0.052625, 0.326240, 0.253287, -0.000102, 0.384182, 0.070887, 0.820989, 0.000000, 0.000000, 0.000000], [-0.344926, 0.062978, 0.675860, 0.128654, 0.412090, -0.222866, -0.429226, 0.000000, 0.000000, 0.000000], [-0.232352, -0.375748, -0.519690, 0.396214, 0.613785, 0.031748, 0.004838, 0.000000, 0.000000, 0.000000], [0.567304, 0.016927, 0.159493, 0.751276, -0.111318, -0.269285, 0.055867, 0.000000, 0.000000, 0.000000], [-0.200571, 0.074583, 0.164010, 0.397778, -0.191658, 0.852308, -0.076949, 0.000000, 0.000000, 0.000000], [0.648009, 0.199589, -0.020326, -0.266641, 0.506641, 0.350329, -0.298868, 0.000000, 0.000000, 0.000000]]
fourier: [[69.889579, 73.064421, 79.296526, 83.569322, 338.336573], [19.059769, 19.265844, 21.304001, 21.871610, 129.201368], [117.960530, 121.624583, 129.828775, 137.286175, 529.401172], [80.045211, 83.543476, 84.474598, 90.912430, 342.330063], [196.844186, 198.786131, 210.584009, 224.507781, 791.303488], [68.818011, 70.497210, 75.452941, 79.951485, 364.895340], [225.704843, 226.732803, 240.823785, 256.535007, 933.654144]]
### 6
mean: [-14.067165, -1.782602, -7.413389, 18.484503, -1.132581, -10.245780, -3.080784]
std: [16.703630, 2.158406, 11.272884, 23.880770, 1.025143, 13.676483, 3.432205]
pca: [[-0.486073, -0.271764, 0.402737, 0.552017, -0.412583, -0.164050, 0.160688, 0.000000, 0.000000, 0.000000], [-0.062803, 0.701851, 0.045751, 0.505186, 0.440624, -0.222178, 0.051403, 0.000000, 0.000000, 0.000000], [-0.328039, 0.164547, -0.341823, 0.249695, -0.164063, 0.682924, -0.439114, 0.000000, 0.000000, 0.000000], [0.694927, -0.119008, -0.074782, 0.496315, -0.146063, 0.331199, 0.346360, 0.000000, 0.000000, 0.000000], [-0.029826, 0.406394, 0.628577, -0.327934, -0.134029, 0.477700, 0.291794, 0.000000, 0.000000, 0.000000], [-0.397984, -0.033414, -0.472389, -0.098398, 0.138450, 0.135211, 0.755121, 0.000000, 0.000000, 0.000000], [-0.099875, -0.475435, 0.308243, 0.119018, 0.741783, 0.318068, -0.058294, 0.000000, 0.000000, 0.000000]]
fourier: [[283.123802, 287.587328, 302.908796, 321.641229, 1266.045003], [36.377096, 37.196785, 39.050848, 41.372008, 160.434153], [190.992416, 194.055009, 204.406376, 217.049583, 667.204974], [404.634747, 411.193269, 432.998613, 459.703237, 1663.605141], [17.244018, 17.704106, 18.522031, 19.580405, 101.932255], [231.789075, 235.411741, 248.022706, 263.402172, 922.120198], [58.284776, 59.082488, 62.282632, 66.174462, 277.270595]]
### 8
mean: [-12.219316, -11.278174, -4.165719, -2.931473, 13.977634, -13.622797, -15.519059]
std: [14.432852, 14.106180, 7.719027, 3.299237, 18.954311, 16.562393, 19.185209]
pca: [[0.375291, -0.160866, -0.085039, 0.699984, 0.210160, -0.524547, -0.129434, 0.000000, 0.000000, 0.000000], [0.366801, -0.111944, 0.762678, 0.081288, -0.466710, 0.136111, -0.168213, 0.000000, 0.000000, 0.000000], [0.200101, 0.855663, 0.286397, -0.068723, 0.319057, -0.158794, 0.118495, 0.000000, 0.000000, 0.000000], [0.085681, -0.235679, 0.226477, 0.084783, 0.735872, 0.550430, -0.184808, 0.000000, 0.000000, 0.000000], [-0.492846, -0.293672, 0.516126, -0.117763, 0.254174, -0.478429, 0.311619, 0.000000, 0.000000, 0.000000], [0.430666, -0.172688, -0.064243, 0.001629, 0.009935, 0.163421, 0.868200, 0.000000, 0.000000, 0.000000], [0.498860, -0.240463, -0.085219, -0.691110, 0.173224, -0.350050, -0.236388, 0.000000, 0.000000, 0.000000]]
fourier: [[244.278189, 247.783101, 261.317664, 276.525885, 1099.738409], [238.659986, 242.291976, 255.572550, 270.113065, 1015.035749], [130.668123, 134.341246, 140.678979, 150.299462, 374.914731], [55.642337, 56.104913, 59.426492, 62.431325, 263.832544], [321.100676, 326.584259, 343.802211, 364.884612, 1257.987014], [280.319239, 284.372430, 299.899479, 317.342568, 1226.051633], [324.694978, 329.306246, 347.325789, 367.487122, 1396.715424]]
### 10
mean: [-5.279761, 13.279265, 10.264951, -7.375589, 14.979570, -4.966334, -6.276228]
std: [5.461248, 18.364407, 14.547310, 12.148998, 20.776970, 5.891349, 10.500348]
pca: [[-0.150031, 0.692146, 0.216206, 0.085448, 0.656506, 0.114024, 0.019410, 0.000000, 0.000000, 0.000000], [0.508902, -0.295063, -0.192428, 0.630070, 0.428883, -0.138086, 0.130123, 0.000000, 0.000000, 0.000000], [0.403175, 0.081990, 0.055522, -0.273162, -0.076494, 0.446668, 0.740043, 0.000000, 0.000000, 0.000000], [-0.336470, -0.441035, 0.767715, 0.192529, 0.097265, 0.034464, 0.234891, 0.000000, 0.000000, 0.000000], [0.575837, 0.041190, 0.462344, -0.046972, -0.097743, 0.327326, -0.577972, 0.000000, 0.000000, 0.000000], [-0.163005, 0.327661, -0.023580, 0.693689, -0.523671, 0.326459, 0.059155, 0.000000, 0.000000, 0.000000], [-0.290842, -0.351538, -0.330816, -0.024796, 0.293194, 0.743984, -0.205676, 0.000000, 0.000000, 0.000000]]
fourier: [[91.818702, 92.989926, 97.070504, 101.688288, 475.178536], [310.650474, 315.972269, 333.403309, 352.100510, 1195.133849], [246.005609, 251.262503, 264.797911, 280.078297, 923.845523], [205.187876, 210.796682, 221.778693, 235.083262, 663.803046], [351.383829, 358.642447, 378.039684, 399.751619, 1348.161487], [99.587281, 100.518262, 106.311277, 111.955012, 446.970040], [177.371334, 182.122584, 191.639903, 203.096274, 564.860626]]
### 12
mean: [-31.213455]
std: [44.075832]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[744.438113, 760.683888, 802.998811, 846.204712, 2809.210900]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.2.weight": [
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0.486437,
0.947132
],
[
-0.27171,
-0.180328,
-0.211164,
-0.259252,
-0.117948,
0.314346,
0.024585
],
[
0.160672,
-0.052475,
-0.044705,
0.274874,
-0.606167,
-0.164038,
-0.511575
],
[
0.326472,
-0.151569,
0.355852,
-0.052794,
-0.005314,
-0.198288,
-0.256467
]
],
"network.6.bias": [
-0.885289,
-0.113247,
1.450146,
-0.342022,
-0.33172,
0.5175,
-0.348876
],
"network.8.weight": [
[
-0.505243,
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],
[
-0.10656,
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[
-0.233889,
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0.261236,
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],
[
0.212947,
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0.134211,
-0.286259,
0.250428
],
[
0.42287,
-0.030001,
-0.163929,
0.792412,
0.135666,
-0.213438,
-0.049381
],
[
-0.743656,
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-0.269663,
-0.699494,
0.238937,
-0.29168,
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],
[
-0.525959,
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-0.368862,
-0.810957,
0.184242,
-0.332119,
0.175936
]
],
"network.8.bias": [
-0.781147,
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1.138527,
-0.158195,
-0.629517,
-0.507998,
-0.292737
],
"network.10.weight": [
[
0.061202,
0.1514,
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0.230694,
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-0.078019,
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],
[
-0.11623,
-0.352117,
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-0.031151,
0.970493,
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[
0.217508,
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0.127681,
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[
0.098597,
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-0.661788,
0.373827,
1.085422,
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],
[
0.028314,
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0.015281
],
[
0.448722,
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]
],
"network.10.bias": [
-0.491444,
-0.323179,
-0.105572,
0.800025,
0.07028,
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],
"network.12.weight": [
[
-0.147758,
-0.805277,
-0.92749,
0.630382,
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0.56813
]
],
"network.12.bias": [
0.320604
]
}
## Activation Signature
### 0
mean: [0.934630, 0.532888, 3.016575, -2.562659, 0.949204, -4.027196, -1.785154]
std: [2.154853, 1.602050, 3.279186, 2.535961, 3.264868, 2.540854, 2.456456]
pca: [[0.355677, 0.213041, 0.235358, -0.266338, 0.359549, 0.749626, -0.102783, 0.000000, 0.000000, 0.000000], [0.134017, -0.299929, 0.468204, -0.010604, 0.267996, -0.153473, 0.759854, 0.000000, 0.000000, 0.000000], [0.573818, -0.301002, 0.184525, 0.232532, 0.298720, -0.375467, -0.511665, 0.000000, 0.000000, 0.000000], [-0.430468, 0.201845, -0.071231, -0.349427, 0.726585, -0.320736, -0.126434, 0.000000, 0.000000, 0.000000], [0.496561, 0.514033, -0.069946, -0.493349, -0.241189, -0.397909, 0.156231, 0.000000, 0.000000, 0.000000], [-0.300077, 0.244569, 0.825407, -0.034282, -0.276714, -0.104557, -0.283136, 0.000000, 0.000000, 0.000000], [0.065919, 0.639741, -0.008921, 0.712891, 0.216797, -0.037358, 0.172329, 0.000000, 0.000000, 0.000000]]
fourier: [[33.593597, 33.923095, 34.421773, 37.177943, 84.116726], [23.293997, 27.081790, 32.998796, 33.372450, 47.959923], [53.553759, 56.730253, 59.375320, 62.773604, 271.491789], [41.365714, 43.013225, 44.059297, 50.545324, 230.639283], [46.968610, 49.685183, 58.967652, 65.709325, 85.428329], [40.523493, 42.563983, 47.937467, 50.289001, 362.447693], [36.630604, 41.012758, 41.087805, 47.371217, 160.663827]]
### 2
mean: [-0.531765, 3.307655, 0.972082, 7.010765, -0.819080, -0.953904, -3.275437]
std: [0.634404, 4.041692, 1.591211, 8.521031, 0.235549, 1.646500, 2.955859]
pca: [[-0.047877, 0.268797, -0.271826, 0.113467, -0.128534, 0.867115, 0.265110, 0.000000, 0.000000, 0.000000], [0.396955, 0.481917, -0.147949, -0.356529, 0.227104, -0.270825, 0.579878, 0.000000, 0.000000, 0.000000], [0.153089, -0.103117, -0.473715, -0.411553, 0.524624, 0.180706, -0.514067, 0.000000, 0.000000, 0.000000], [0.847557, 0.086595, 0.283660, 0.218925, -0.160055, 0.151777, -0.311617, 0.000000, 0.000000, 0.000000], [-0.012969, 0.012196, 0.096707, 0.652319, 0.738584, 0.007524, 0.138738, 0.000000, 0.000000, 0.000000], [-0.137552, 0.629153, -0.427277, 0.361927, -0.202937, -0.299218, -0.375465, 0.000000, 0.000000, 0.000000], [-0.281527, 0.530462, 0.638306, -0.293595, 0.210632, 0.171719, -0.268079, 0.000000, 0.000000, 0.000000]]
fourier: [[10.557898, 10.720770, 11.750505, 13.420948, 47.858822], [66.454864, 67.706206, 77.478398, 81.538368, 297.688984], [26.428840, 26.707419, 32.499088, 32.819212, 87.487414], [145.080351, 148.325249, 151.255395, 163.455593, 630.968892], [3.797626, 4.328303, 4.506584, 5.274908, 73.717218], [26.161622, 30.101626, 30.126488, 34.130241, 85.851373], [51.060906, 51.394713, 53.255214, 54.580902, 294.789339]]
### 4
mean: [-3.759295, -1.435571, -5.882235, -3.803668, 8.792261, -4.054393, 10.373936]
std: [4.236002, 1.098248, 7.038306, 4.748549, 11.573596, 4.092333, 13.220664]
pca: [[-0.205650, 0.838290, -0.395262, 0.180895, -0.006681, -0.150416, -0.208216, 0.000000, 0.000000, 0.000000], [-0.052625, 0.326240, 0.253287, -0.000102, 0.384182, 0.070887, 0.820989, 0.000000, 0.000000, 0.000000], [-0.344926, 0.062978, 0.675860, 0.128654, 0.412090, -0.222866, -0.429226, 0.000000, 0.000000, 0.000000], [-0.232352, -0.375748, -0.519690, 0.396214, 0.613785, 0.031748, 0.004838, 0.000000, 0.000000, 0.000000], [0.567304, 0.016927, 0.159493, 0.751276, -0.111318, -0.269285, 0.055867, 0.000000, 0.000000, 0.000000], [-0.200571, 0.074583, 0.164010, 0.397778, -0.191658, 0.852308, -0.076949, 0.000000, 0.000000, 0.000000], [0.648009, 0.199589, -0.020326, -0.266641, 0.506641, 0.350329, -0.298868, 0.000000, 0.000000, 0.000000]]
fourier: [[69.889579, 73.064421, 79.296526, 83.569322, 338.336573], [19.059769, 19.265844, 21.304001, 21.871610, 129.201368], [117.960530, 121.624583, 129.828775, 137.286175, 529.401172], [80.045211, 83.543476, 84.474598, 90.912430, 342.330063], [196.844186, 198.786131, 210.584009, 224.507781, 791.303488], [68.818011, 70.497210, 75.452941, 79.951485, 364.895340], [225.704843, 226.732803, 240.823785, 256.535007, 933.654144]]
### 6
mean: [-14.067165, -1.782602, -7.413389, 18.484503, -1.132581, -10.245780, -3.080784]
std: [16.703630, 2.158406, 11.272884, 23.880770, 1.025143, 13.676483, 3.432205]
pca: [[-0.486073, -0.271764, 0.402737, 0.552017, -0.412583, -0.164050, 0.160688, 0.000000, 0.000000, 0.000000], [-0.062803, 0.701851, 0.045751, 0.505186, 0.440624, -0.222178, 0.051403, 0.000000, 0.000000, 0.000000], [-0.328039, 0.164547, -0.341823, 0.249695, -0.164063, 0.682924, -0.439114, 0.000000, 0.000000, 0.000000], [0.694927, -0.119008, -0.074782, 0.496315, -0.146063, 0.331199, 0.346360, 0.000000, 0.000000, 0.000000], [-0.029826, 0.406394, 0.628577, -0.327934, -0.134029, 0.477700, 0.291794, 0.000000, 0.000000, 0.000000], [-0.397984, -0.033414, -0.472389, -0.098398, 0.138450, 0.135211, 0.755121, 0.000000, 0.000000, 0.000000], [-0.099875, -0.475435, 0.308243, 0.119018, 0.741783, 0.318068, -0.058294, 0.000000, 0.000000, 0.000000]]
fourier: [[283.123802, 287.587328, 302.908796, 321.641229, 1266.045003], [36.377096, 37.196785, 39.050848, 41.372008, 160.434153], [190.992416, 194.055009, 204.406376, 217.049583, 667.204974], [404.634747, 411.193269, 432.998613, 459.703237, 1663.605141], [17.244018, 17.704106, 18.522031, 19.580405, 101.932255], [231.789075, 235.411741, 248.022706, 263.402172, 922.120198], [58.284776, 59.082488, 62.282632, 66.174462, 277.270595]]
### 8
mean: [-12.219316, -11.278174, -4.165719, -2.931473, 13.977634, -13.622797, -15.519059]
std: [14.432852, 14.106180, 7.719027, 3.299237, 18.954311, 16.562393, 19.185209]
pca: [[0.375291, -0.160866, -0.085039, 0.699984, 0.210160, -0.524547, -0.129434, 0.000000, 0.000000, 0.000000], [0.366801, -0.111944, 0.762678, 0.081288, -0.466710, 0.136111, -0.168213, 0.000000, 0.000000, 0.000000], [0.200101, 0.855663, 0.286397, -0.068723, 0.319057, -0.158794, 0.118495, 0.000000, 0.000000, 0.000000], [0.085681, -0.235679, 0.226477, 0.084783, 0.735872, 0.550430, -0.184808, 0.000000, 0.000000, 0.000000], [-0.492846, -0.293672, 0.516126, -0.117763, 0.254174, -0.478429, 0.311619, 0.000000, 0.000000, 0.000000], [0.430666, -0.172688, -0.064243, 0.001629, 0.009935, 0.163421, 0.868200, 0.000000, 0.000000, 0.000000], [0.498860, -0.240463, -0.085219, -0.691110, 0.173224, -0.350050, -0.236388, 0.000000, 0.000000, 0.000000]]
fourier: [[244.278189, 247.783101, 261.317664, 276.525885, 1099.738409], [238.659986, 242.291976, 255.572550, 270.113065, 1015.035749], [130.668123, 134.341246, 140.678979, 150.299462, 374.914731], [55.642337, 56.104913, 59.426492, 62.431325, 263.832544], [321.100676, 326.584259, 343.802211, 364.884612, 1257.987014], [280.319239, 284.372430, 299.899479, 317.342568, 1226.051633], [324.694978, 329.306246, 347.325789, 367.487122, 1396.715424]]
### 10
mean: [-5.279761, 13.279265, 10.264951, -7.375589, 14.979570, -4.966334, -6.276228]
std: [5.461248, 18.364407, 14.547310, 12.148998, 20.776970, 5.891349, 10.500348]
pca: [[-0.150031, 0.692146, 0.216206, 0.085448, 0.656506, 0.114024, 0.019410, 0.000000, 0.000000, 0.000000], [0.508902, -0.295063, -0.192428, 0.630070, 0.428883, -0.138086, 0.130123, 0.000000, 0.000000, 0.000000], [0.403175, 0.081990, 0.055522, -0.273162, -0.076494, 0.446668, 0.740043, 0.000000, 0.000000, 0.000000], [-0.336470, -0.441035, 0.767715, 0.192529, 0.097265, 0.034464, 0.234891, 0.000000, 0.000000, 0.000000], [0.575837, 0.041190, 0.462344, -0.046972, -0.097743, 0.327326, -0.577972, 0.000000, 0.000000, 0.000000], [-0.163005, 0.327661, -0.023580, 0.693689, -0.523671, 0.326459, 0.059155, 0.000000, 0.000000, 0.000000], [-0.290842, -0.351538, -0.330816, -0.024796, 0.293194, 0.743984, -0.205676, 0.000000, 0.000000, 0.000000]]
fourier: [[91.818702, 92.989926, 97.070504, 101.688288, 475.178536], [310.650474, 315.972269, 333.403309, 352.100510, 1195.133849], [246.005609, 251.262503, 264.797911, 280.078297, 923.845523], [205.187876, 210.796682, 221.778693, 235.083262, 663.803046], [351.383829, 358.642447, 378.039684, 399.751619, 1348.161487], [99.587281, 100.518262, 106.311277, 111.955012, 446.970040], [177.371334, 182.122584, 191.639903, 203.096274, 564.860626]]
### 12
mean: [-31.213455]
std: [44.075832]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[744.438113, 760.683888, 802.998811, 846.204712, 2809.210900]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.916616, 0.44381, -0.502704, -0.122721, 0.103768], [0.351405, 0.042211, 0.554835, -0.296333, -0.061776], [1.234612, 0.341984, 0.448108, 0.333124, 0.010259], [-0.988123, -0.091007, -0.363433, -0.534433, 0.399149], [1.163724, 0.815115, -1.14186, 0.149723, -0.030384], [-0.057152, -0.651521, -0.211765, -0.741654, -0.350185], [0.789073, -0.782214, -0.995168, 0.476146, 0.109768]], "network.0.bias": [0.17051, -0.428661, -0.806068, 0.24579, 0.117313, -0.304174, -0.419397], "network.2.weight": [[-0.165247, 0.109007, -0.074092, 0.126183, -0.073061, -0.02893, 0.64306], [0.675451, 0.59602, 0.171961, -0.641667, 0.702209, 0.414709, 1.561488], [0.180578, 0.49292, 0.150979, -0.348609, 0.147481, 0.241462, 0.394871], [1.320935, 0.644032, 0.779471, -0.492303, 1.456738, 0.256581, 1.235696], [0.190095, -0.282603, 0.050302, 0.126621, -0.176171, -0.326015, -0.026446], [-0.230932, 0.111985, -0.251943, 0.43377, -0.240747, -0.159124, 1.290158], [-0.16175, -0.599668, -0.51822, -0.563572, -0.28361, 0.266535, -0.000719]], "network.2.bias": [-0.238093, -0.201565, -0.515433, -0.486345, -0.65901, 0.073496, -0.364662], "network.4.weight": [[-0.437909, -0.670692, 0.129478, -0.20357, -0.049598, -0.753272, -0.438828], [0.073343, -0.201705, -0.126869, -0.011978, -0.242894, -0.431713, -0.330864], [0.197297, -0.383676, -0.543459, -0.558781, 0.221357, -0.44709, 0.101749], [0.157682, -0.145108, 0.065752, -0.500175, -0.142125, 0.280041, -0.018492], [0.36848, 0.55373, 0.272807, 1.058107, 0.209869, 0.288442, 0.283922], [-0.058816, -0.285741, -0.209614, -0.312967, -0.583308, -0.160257, 0.133578], [0.361355, 0.641553, 0.449303, 1.180105, 0.472611, 0.056333, 0.034756]], "network.4.bias": [-0.111397, -0.483959, -0.020588, 0.083971, -0.856384, -0.644147, -0.588517], "network.6.weight": [[-0.35917, -0.018552, -0.269044, -0.114183, -0.61335, 0.078303, -0.735954], [-0.282091, -0.153049, 0.171154, -0.099489, -0.272631, -0.229552, 0.073385], [0.376328, 0.112018, 0.737658, 0.173442, -0.55102, -0.118228, -0.376933], [0.491962, 0.095556, -0.258963, 0.281031, 0.997543, 0.486437, 0.947132], [-0.27171, -0.180328, -0.211164, -0.259252, -0.117948, 0.314346, 0.024585], [0.160672, -0.052475, -0.044705, 0.274874, -0.606167, -0.164038, -0.511575], [0.326472, -0.151569, 0.355852, -0.052794, -0.005314, -0.198288, -0.256467]], "network.6.bias": [-0.885289, -0.113247, 1.450146, -0.342022, -0.33172, 0.5175, -0.348876], "network.8.weight": [[-0.505243, -0.35375, -0.256454, -0.609747, -0.055313, -0.232633, 0.24726], [-0.10656, 0.193468, -0.049322, -0.594863, 0.091798, -0.625261, 0.069609], [-0.233889, 0.337708, 1.001472, -0.309132, 0.307085, 0.261236, 0.068204], [0.212947, 0.184146, -0.24565, -0.142468, 0.134211, -0.286259, 0.250428], [0.42287, -0.030001, -0.163929, 0.792412, 0.135666, -0.213438, -0.049381], [-0.743656, 0.182378, -0.269663, -0.699494, 0.238937, -0.29168, -0.065097], [-0.525959, 0.103477, -0.368862, -0.810957, 0.184242, -0.332119, 0.175936]], "network.8.bias": [-0.781147, -0.153427, 1.138527, -0.158195, -0.629517, -0.507998, -0.292737], "network.10.weight": [[0.061202, 0.1514, -0.566838, 0.230694, -0.306635, -0.078019, -0.409896], [-0.11623, -0.352117, -0.236243, -0.031151, 0.970493, -0.201928, -0.021021], [0.217508, 0.375859, -0.519209, -0.058105, 0.758162, 0.361105, 0.039253], [0.127681, -0.03492, 0.825224, 0.363457, -0.620091, 0.339592, 0.320995], [0.098597, -0.113039, -0.661788, 0.373827, 1.085422, -0.223134, -0.345356], [0.028314, -0.2124, -0.169596, -0.251564, -0.318763, 0.345815, 0.015281], [0.448722, 0.404227, 0.682121, 0.164209, -0.537006, 0.473076, 0.239992]], "network.10.bias": [-0.491444, -0.323179, -0.105572, 0.800025, 0.07028, -0.309526, 0.828828], "network.12.weight": [[-0.147758, -0.805277, -0.92749, 0.630382, -0.758723, -0.369338, 0.56813]], "network.12.bias": [0.320604]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6916634440422058, "train_acc": 0.55, "val_loss": 0.6851789355278015, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6900448501110077, "train_acc": 0.55, "val_loss": 0.6829518675804138, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.68720743060112, "train_acc": 0.55, "val_loss": 0.6712179780006409, "val_acc": 0.56}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.655679315328598, "train_acc": 0.605, "val_loss": 0.6088628172874451, "val_acc": 0.72}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.7334599792957306, "train_acc": 0.74, "val_loss": 0.5200086236000061, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5141973495483398, "train_acc": 0.81, "val_loss": 0.5501417517662048, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5116151571273804, "train_acc": 0.74, "val_loss": 0.47668778896331787, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.43930621445178986, "train_acc": 0.875, "val_loss": 0.4676469564437866, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3968032896518707, "train_acc": 0.905, "val_loss": 0.4162370264530182, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.29774652421474457, "train_acc": 0.89, "val_loss": 0.33997589349746704, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.20009560137987137, "train_acc": 0.93, "val_loss": 0.26616203784942627, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.15472868829965591, "train_acc": 0.95, "val_loss": 0.3156161606311798, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.16332200169563293, "train_acc": 0.945, "val_loss": 0.27490222454071045, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.15361613780260086, "train_acc": 0.96, "val_loss": 1.7318845987319946, "val_acc": 0.6}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6851789355278015, "final_val_loss": 0.6088628172874451, "initial_val_acc": 0.56, "final_val_acc": 0.72, "best_val_acc": 0.72}, "improved_stage": {"initial_val_loss": 0.5200086236000061, "final_val_loss": 1.7318845987319946, "initial_val_acc": 0.74, "final_val_acc": 0.6, "best_val_acc": 0.92, "best_epoch": 12}, "improvement": 0.20000000000000007, "first_improvement_epoch": 3}}
|
130
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.46, "improved_accuracy": 0.92, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4269, "learning_rate": 0.015287911217146254, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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],
"network.0.bias": [
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"network.2.weight": [
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"network.2.bias": [
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"network.4.weight": [
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[
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[
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],
"network.4.bias": [
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[
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"network.8.bias": [
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}
## Activation Signature
### 0
mean: [1.124451, 0.730251, 3.056828, 0.958031, 0.311876]
std: [1.148613, 1.340135, 2.048472, 1.296510, 1.185127]
pca: [[0.185205, 0.458913, 0.378690, 0.760014, 0.184584, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.406902, 0.455366, -0.330657, -0.180232, 0.696602, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.831666, 0.381797, -0.197544, -0.347532, 0.052532, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.260208, 0.542282, -0.413451, 0.105989, -0.675312, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.201872, 0.377096, 0.733004, -0.507822, -0.147878, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.259539, 18.656903, 19.474595, 23.826584, 101.200595], [19.679348, 20.247102, 23.531745, 27.317721, 65.722577], [33.110615, 37.460687, 37.930038, 42.230729, 275.114572], [19.809253, 19.917163, 20.940340, 22.304303, 86.222784], [19.775156, 20.713574, 21.320670, 22.181881, 28.068874]]
### 2
mean: [0.192189, 0.757560, 0.616360, 1.212742, -1.269918]
std: [0.822502, 0.948829, 1.071433, 1.010869, 0.848648]
pca: [[0.384397, -0.204850, 0.831850, -0.328386, 0.102292, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.542752, 0.029894, -0.395291, -0.159410, 0.723091, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.623827, 0.069944, 0.049303, 0.722758, -0.284848, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.196910, 0.833206, 0.333542, 0.200530, 0.339899, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.360175, -0.507955, 0.195167, 0.551506, 0.519622, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.879590, 12.841082, 13.478350, 17.296994, 19.131950], [14.852278, 15.742375, 18.656167, 20.050310, 68.180394], [16.434381, 18.814332, 19.667424, 20.115709, 55.472419], [17.586887, 17.976319, 18.920015, 19.914153, 109.146779], [12.812119, 12.814516, 13.165636, 14.754691, 114.292596]]
### 4
mean: [-0.550154, 0.531048, 0.877740, -0.556371, 0.510028]
std: [0.261039, 0.617808, 1.210363, 0.119776, 0.680651]
pca: [[-0.134011, -0.339018, -0.522048, 0.745845, 0.195673, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.370908, 0.689120, 0.261065, 0.498948, -0.265399, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.805543, 0.488196, -0.257694, 0.144362, 0.159747, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.029321, -0.048149, 0.592342, 0.193324, 0.780115, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.441259, 0.411737, -0.491971, -0.369528, 0.507126, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.882947, 3.924780, 4.776573, 4.963943, 49.513824], [9.415522, 10.093720, 12.352610, 13.685755, 47.794362], [19.906509, 20.413036, 22.499137, 25.441770, 78.996568], [1.761303, 1.838566, 2.371990, 2.543584, 50.073419], [10.451717, 12.240085, 13.242442, 14.303845, 45.902562]]
### 6
mean: [0.513874, -0.474519, 0.292519, 0.200806, 0.509908]
std: [0.644674, 0.166766, 1.083668, 0.425452, 0.775589]
pca: [[-0.413714, 0.661330, -0.482342, -0.315614, -0.243347, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.107087, 0.054703, -0.435856, -0.046428, 0.890738, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.700037, 0.662139, 0.257257, 0.072906, 0.004857, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.275079, 0.220827, -0.084336, 0.931524, 0.026796, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.501651, 0.269179, 0.709987, -0.158685, 0.382919, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.614168, 11.871110, 13.225872, 13.340169, 46.248681], [2.806210, 2.833030, 3.144216, 3.498691, 42.706727], [18.507716, 18.621248, 20.234781, 23.479456, 26.326691], [7.139734, 7.640082, 8.551610, 8.922475, 18.072546], [13.029736, 13.730639, 15.445865, 16.183370, 45.891695]]
### 8
mean: [-0.723318]
std: [1.128315]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.451049, 19.606569, 21.615853, 24.554284, 65.098620]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.292531,
-0.70405
],
[
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0.488304
],
[
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0.152071,
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[
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-0.193207,
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],
"network.2.bias": [
-0.160149,
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"network.4.weight": [
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],
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],
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0.15205,
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],
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],
"network.4.bias": [
-0.398795,
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"network.6.weight": [
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}
## Activation Signature
### 0
mean: [1.124451, 0.730251, 3.056828, 0.958031, 0.311876]
std: [1.148613, 1.340135, 2.048472, 1.296510, 1.185127]
pca: [[0.185205, 0.458913, 0.378690, 0.760014, 0.184584, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.406902, 0.455366, -0.330657, -0.180232, 0.696602, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.831666, 0.381797, -0.197544, -0.347532, 0.052532, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.260208, 0.542282, -0.413451, 0.105989, -0.675312, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.201872, 0.377096, 0.733004, -0.507822, -0.147878, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.259539, 18.656903, 19.474595, 23.826584, 101.200595], [19.679348, 20.247102, 23.531745, 27.317721, 65.722577], [33.110615, 37.460687, 37.930038, 42.230729, 275.114572], [19.809253, 19.917163, 20.940340, 22.304303, 86.222784], [19.775156, 20.713574, 21.320670, 22.181881, 28.068874]]
### 2
mean: [0.192189, 0.757560, 0.616360, 1.212742, -1.269918]
std: [0.822502, 0.948829, 1.071433, 1.010869, 0.848648]
pca: [[0.384397, -0.204850, 0.831850, -0.328386, 0.102292, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.542752, 0.029894, -0.395291, -0.159410, 0.723091, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.623827, 0.069944, 0.049303, 0.722758, -0.284848, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.196910, 0.833206, 0.333542, 0.200530, 0.339899, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.360175, -0.507955, 0.195167, 0.551506, 0.519622, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.879590, 12.841082, 13.478350, 17.296994, 19.131950], [14.852278, 15.742375, 18.656167, 20.050310, 68.180394], [16.434381, 18.814332, 19.667424, 20.115709, 55.472419], [17.586887, 17.976319, 18.920015, 19.914153, 109.146779], [12.812119, 12.814516, 13.165636, 14.754691, 114.292596]]
### 4
mean: [-0.550154, 0.531048, 0.877740, -0.556371, 0.510028]
std: [0.261039, 0.617808, 1.210363, 0.119776, 0.680651]
pca: [[-0.134011, -0.339018, -0.522048, 0.745845, 0.195673, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.370908, 0.689120, 0.261065, 0.498948, -0.265399, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.805543, 0.488196, -0.257694, 0.144362, 0.159747, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.029321, -0.048149, 0.592342, 0.193324, 0.780115, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.441259, 0.411737, -0.491971, -0.369528, 0.507126, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.882947, 3.924780, 4.776573, 4.963943, 49.513824], [9.415522, 10.093720, 12.352610, 13.685755, 47.794362], [19.906509, 20.413036, 22.499137, 25.441770, 78.996568], [1.761303, 1.838566, 2.371990, 2.543584, 50.073419], [10.451717, 12.240085, 13.242442, 14.303845, 45.902562]]
### 6
mean: [0.513874, -0.474519, 0.292519, 0.200806, 0.509908]
std: [0.644674, 0.166766, 1.083668, 0.425452, 0.775589]
pca: [[-0.413714, 0.661330, -0.482342, -0.315614, -0.243347, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.107087, 0.054703, -0.435856, -0.046428, 0.890738, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.700037, 0.662139, 0.257257, 0.072906, 0.004857, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.275079, 0.220827, -0.084336, 0.931524, 0.026796, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.501651, 0.269179, 0.709987, -0.158685, 0.382919, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.614168, 11.871110, 13.225872, 13.340169, 46.248681], [2.806210, 2.833030, 3.144216, 3.498691, 42.706727], [18.507716, 18.621248, 20.234781, 23.479456, 26.326691], [7.139734, 7.640082, 8.551610, 8.922475, 18.072546], [13.029736, 13.730639, 15.445865, 16.183370, 45.891695]]
### 8
mean: [-0.723318]
std: [1.128315]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.451049, 19.606569, 21.615853, 24.554284, 65.098620]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6789353489875793, "train_acc": 0.58, "val_loss": 0.724372386932373, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6829813122749329, "train_acc": 0.58, "val_loss": 0.7200537323951721, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6778630912303925, "train_acc": 0.58, "val_loss": 0.7105652689933777, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6723317205905914, "train_acc": 0.58, "val_loss": 0.6965053081512451, "val_acc": 0.46}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6683134734630585, "train_acc": 0.58, "val_loss": 0.6751953959465027, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6633206307888031, "train_acc": 0.585, "val_loss": 0.6278814673423767, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6387077867984772, "train_acc": 0.74, "val_loss": 0.5806688666343689, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6202916502952576, "train_acc": 0.725, "val_loss": 0.5392230749130249, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5862222909927368, "train_acc": 0.765, "val_loss": 0.5014209151268005, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5572247803211212, "train_acc": 0.79, "val_loss": 0.46530523896217346, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.531658947467804, "train_acc": 0.81, "val_loss": 0.4237009882926941, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.5094719529151917, "train_acc": 0.81, "val_loss": 0.3726699948310852, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.48031066358089447, "train_acc": 0.82, "val_loss": 0.3260084390640259, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.455694243311882, "train_acc": 0.815, "val_loss": 0.2873789966106415, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.4049641042947769, "train_acc": 0.83, "val_loss": 0.2515394687652588, "val_acc": 0.92}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.724372386932373, "final_val_loss": 0.6751953959465027, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.6278814673423767, "final_val_loss": 0.2515394687652588, "initial_val_acc": 0.82, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 13}, "improvement": 0.46, "first_improvement_epoch": 4}}
|
131
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.52, "improved_accuracy": 0.96, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1790, "learning_rate": 0.07414048887618152, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [0.978879, 1.135261, 2.506016, 3.513384, -0.540043, -1.033422]
std: [2.046340, 0.859108, 2.929407, 2.922460, 2.419275, 1.011485]
pca: [[0.389578, 0.218676, 0.461435, 0.714135, -0.240987, 0.139368, 0.000000, 0.000000, 0.000000, 0.000000], [0.016593, 0.329803, -0.353816, 0.351652, 0.784669, 0.162493, 0.000000, 0.000000, 0.000000, 0.000000], [0.558752, 0.615560, -0.062731, -0.391863, -0.043135, -0.386690, 0.000000, 0.000000, 0.000000, 0.000000], [0.582950, -0.300245, -0.483379, -0.081084, -0.180642, 0.545125, 0.000000, 0.000000, 0.000000, 0.000000], [-0.435805, 0.546916, -0.416901, 0.118758, -0.512678, 0.245373, 0.000000, 0.000000, 0.000000, 0.000000], [-0.077413, 0.274283, 0.500495, -0.438312, 0.169968, 0.668786, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.193457, 33.365957, 35.033235, 37.096434, 88.099109], [12.824032, 13.568438, 13.865680, 14.880778, 102.173456], [41.517229, 45.598233, 51.180682, 54.364325, 225.541415], [47.326133, 51.267323, 51.820210, 53.193861, 316.204596], [39.295788, 45.159884, 46.446575, 48.603844, 49.553285], [16.191742, 16.476614, 17.405212, 20.828278, 93.007968]]
### 2
mean: [4.045866, -1.026308, -3.062607, 2.370422, 0.581712, -1.595050]
std: [4.136425, 0.683348, 2.529283, 2.545259, 1.382924, 1.243683]
pca: [[0.719876, 0.011198, 0.512410, -0.312449, 0.337539, -0.086793, 0.000000, 0.000000, 0.000000, 0.000000], [-0.089574, 0.486833, -0.142122, 0.302028, 0.746045, 0.294901, 0.000000, 0.000000, 0.000000, 0.000000], [-0.437508, 0.264463, 0.512365, -0.451868, -0.142818, 0.501543, 0.000000, 0.000000, 0.000000, 0.000000], [0.442830, 0.119332, 0.072695, 0.504471, -0.443311, 0.577374, 0.000000, 0.000000, 0.000000, 0.000000], [0.206521, 0.770712, -0.325946, -0.302249, -0.316760, -0.255775, 0.000000, 0.000000, 0.000000, 0.000000], [-0.208789, 0.291017, 0.585828, 0.511003, -0.110568, -0.505147, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[71.614415, 73.522585, 75.039749, 75.202780, 364.127899], [10.191212, 11.750478, 11.900418, 13.051905, 92.367690], [40.501478, 42.717067, 46.121971, 49.691120, 275.634643], [42.406086, 44.422801, 45.749895, 47.305307, 213.338011], [21.673382, 22.213799, 24.025850, 29.333917, 52.354046], [19.008675, 19.504311, 23.850059, 24.717282, 143.554509]]
### 4
mean: [1.181962, -1.385319, 0.161184, 1.143033, 3.648502, -0.205209]
std: [0.565276, 1.332742, 0.581992, 1.804226, 4.172099, 0.871734]
pca: [[0.115866, 0.015194, 0.131407, -0.554824, 0.620305, 0.525802, 0.000000, 0.000000, 0.000000, 0.000000], [-0.272973, -0.110803, 0.702222, 0.066376, 0.395753, -0.508986, 0.000000, 0.000000, 0.000000, 0.000000], [0.113819, 0.727523, 0.321896, 0.492236, 0.053124, 0.330181, 0.000000, 0.000000, 0.000000, 0.000000], [0.368988, -0.523265, -0.120226, 0.624991, 0.404489, 0.146157, 0.000000, 0.000000, 0.000000, 0.000000], [0.855255, 0.173057, 0.090275, -0.226207, -0.027290, -0.422524, 0.000000, 0.000000, 0.000000, 0.000000], [-0.177462, 0.392997, -0.602823, 0.060698, 0.539836, -0.394407, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.738230, 9.988538, 10.052513, 10.226623, 106.376593], [22.374506, 22.843497, 23.444420, 24.943970, 124.678703], [9.718055, 9.804960, 10.525216, 12.265363, 14.506602], [30.036397, 30.712648, 31.564460, 32.725538, 102.872955], [71.380372, 73.115118, 74.926019, 75.282865, 328.365128], [14.247602, 14.711892, 15.692367, 16.236458, 18.468848]]
### 6
mean: [2.605098, -0.104076, -2.454387, 2.339447, 0.023513, 2.048196]
std: [3.231190, 1.329804, 2.149393, 3.186892, 1.225468, 2.345834]
pca: [[0.554316, 0.596754, -0.032262, -0.269150, 0.131405, 0.495851, 0.000000, 0.000000, 0.000000, 0.000000], [-0.227952, 0.361777, -0.200272, 0.271176, 0.798118, -0.257911, 0.000000, 0.000000, 0.000000, 0.000000], [-0.368635, -0.112487, 0.664903, 0.098593, 0.264580, 0.574140, 0.000000, 0.000000, 0.000000, 0.000000], [0.546822, -0.023193, 0.650705, 0.154837, 0.119455, -0.488658, 0.000000, 0.000000, 0.000000, 0.000000], [-0.209559, 0.597923, 0.128974, 0.572093, -0.503550, -0.032958, 0.000000, 0.000000, 0.000000, 0.000000], [0.402431, -0.377225, -0.276954, 0.702165, 0.088915, 0.343664, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[53.392304, 54.339728, 55.376596, 59.011107, 234.458863], [21.748168, 22.644558, 22.833205, 22.842907, 23.797589], [36.659923, 36.743051, 37.220493, 40.101095, 220.894816], [53.120820, 53.737146, 55.758468, 55.773332, 210.550262], [19.383982, 21.208418, 21.466705, 21.502830, 22.339898], [40.198884, 40.708005, 41.550644, 41.949652, 184.337688]]
### 8
mean: [0.768673, 3.230631, -0.380988, -0.736136, 5.022831, -0.434851]
std: [1.271632, 4.609205, 0.113806, 1.312604, 6.332385, 0.114643]
pca: [[-0.147559, 0.939239, 0.077574, 0.066451, -0.082841, 0.280642, 0.000000, 0.000000, 0.000000, 0.000000], [0.574040, -0.091045, 0.292489, -0.445768, -0.273853, 0.550394, 0.000000, 0.000000, 0.000000, 0.000000], [-0.012431, 0.051558, 0.798364, 0.063503, -0.313597, -0.507372, 0.000000, 0.000000, 0.000000, 0.000000], [-0.163379, -0.073575, 0.493307, -0.033744, 0.806525, 0.270039, 0.000000, 0.000000, 0.000000, 0.000000], [0.788571, 0.226573, -0.082951, 0.334716, 0.344978, -0.298153, 0.000000, 0.000000, 0.000000, 0.000000], [-0.003610, -0.223906, 0.144271, 0.824421, -0.224291, 0.446165, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.454331, 22.497457, 22.752490, 23.872189, 69.180560], [76.585442, 78.636486, 80.714809, 80.804006, 290.756791], [1.998129, 2.002678, 2.286431, 2.655645, 34.288909], [22.214049, 22.231319, 22.722106, 23.812427, 66.252201], [105.021689, 107.110591, 109.949614, 112.454362, 452.054789], [1.907847, 1.993355, 1.994168, 2.107749, 39.136563]]
### 10
mean: [-2.747575]
std: [5.077911]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[84.090966, 85.967258, 87.528389, 90.143101, 247.281747]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.111716,
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0.196618,
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],
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-0.153857,
0.177417,
0.2052
],
[
1.115714,
0.279404,
-0.430388,
0.722963,
0.257364
],
[
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0.600293,
0.350811,
0.223125,
-0.137419
],
[
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0.021256,
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0.056112,
0.414408
],
[
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0.131483,
0.060555
]
],
"network.0.bias": [
0.14456,
0.49958,
-0.360302,
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## Activation Signature
### 0
mean: [0.978879, 1.135261, 2.506016, 3.513384, -0.540043, -1.033422]
std: [2.046340, 0.859108, 2.929407, 2.922460, 2.419275, 1.011485]
pca: [[0.389578, 0.218676, 0.461435, 0.714135, -0.240987, 0.139368, 0.000000, 0.000000, 0.000000, 0.000000], [0.016593, 0.329803, -0.353816, 0.351652, 0.784669, 0.162493, 0.000000, 0.000000, 0.000000, 0.000000], [0.558752, 0.615560, -0.062731, -0.391863, -0.043135, -0.386690, 0.000000, 0.000000, 0.000000, 0.000000], [0.582950, -0.300245, -0.483379, -0.081084, -0.180642, 0.545125, 0.000000, 0.000000, 0.000000, 0.000000], [-0.435805, 0.546916, -0.416901, 0.118758, -0.512678, 0.245373, 0.000000, 0.000000, 0.000000, 0.000000], [-0.077413, 0.274283, 0.500495, -0.438312, 0.169968, 0.668786, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.193457, 33.365957, 35.033235, 37.096434, 88.099109], [12.824032, 13.568438, 13.865680, 14.880778, 102.173456], [41.517229, 45.598233, 51.180682, 54.364325, 225.541415], [47.326133, 51.267323, 51.820210, 53.193861, 316.204596], [39.295788, 45.159884, 46.446575, 48.603844, 49.553285], [16.191742, 16.476614, 17.405212, 20.828278, 93.007968]]
### 2
mean: [4.045866, -1.026308, -3.062607, 2.370422, 0.581712, -1.595050]
std: [4.136425, 0.683348, 2.529283, 2.545259, 1.382924, 1.243683]
pca: [[0.719876, 0.011198, 0.512410, -0.312449, 0.337539, -0.086793, 0.000000, 0.000000, 0.000000, 0.000000], [-0.089574, 0.486833, -0.142122, 0.302028, 0.746045, 0.294901, 0.000000, 0.000000, 0.000000, 0.000000], [-0.437508, 0.264463, 0.512365, -0.451868, -0.142818, 0.501543, 0.000000, 0.000000, 0.000000, 0.000000], [0.442830, 0.119332, 0.072695, 0.504471, -0.443311, 0.577374, 0.000000, 0.000000, 0.000000, 0.000000], [0.206521, 0.770712, -0.325946, -0.302249, -0.316760, -0.255775, 0.000000, 0.000000, 0.000000, 0.000000], [-0.208789, 0.291017, 0.585828, 0.511003, -0.110568, -0.505147, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[71.614415, 73.522585, 75.039749, 75.202780, 364.127899], [10.191212, 11.750478, 11.900418, 13.051905, 92.367690], [40.501478, 42.717067, 46.121971, 49.691120, 275.634643], [42.406086, 44.422801, 45.749895, 47.305307, 213.338011], [21.673382, 22.213799, 24.025850, 29.333917, 52.354046], [19.008675, 19.504311, 23.850059, 24.717282, 143.554509]]
### 4
mean: [1.181962, -1.385319, 0.161184, 1.143033, 3.648502, -0.205209]
std: [0.565276, 1.332742, 0.581992, 1.804226, 4.172099, 0.871734]
pca: [[0.115866, 0.015194, 0.131407, -0.554824, 0.620305, 0.525802, 0.000000, 0.000000, 0.000000, 0.000000], [-0.272973, -0.110803, 0.702222, 0.066376, 0.395753, -0.508986, 0.000000, 0.000000, 0.000000, 0.000000], [0.113819, 0.727523, 0.321896, 0.492236, 0.053124, 0.330181, 0.000000, 0.000000, 0.000000, 0.000000], [0.368988, -0.523265, -0.120226, 0.624991, 0.404489, 0.146157, 0.000000, 0.000000, 0.000000, 0.000000], [0.855255, 0.173057, 0.090275, -0.226207, -0.027290, -0.422524, 0.000000, 0.000000, 0.000000, 0.000000], [-0.177462, 0.392997, -0.602823, 0.060698, 0.539836, -0.394407, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.738230, 9.988538, 10.052513, 10.226623, 106.376593], [22.374506, 22.843497, 23.444420, 24.943970, 124.678703], [9.718055, 9.804960, 10.525216, 12.265363, 14.506602], [30.036397, 30.712648, 31.564460, 32.725538, 102.872955], [71.380372, 73.115118, 74.926019, 75.282865, 328.365128], [14.247602, 14.711892, 15.692367, 16.236458, 18.468848]]
### 6
mean: [2.605098, -0.104076, -2.454387, 2.339447, 0.023513, 2.048196]
std: [3.231190, 1.329804, 2.149393, 3.186892, 1.225468, 2.345834]
pca: [[0.554316, 0.596754, -0.032262, -0.269150, 0.131405, 0.495851, 0.000000, 0.000000, 0.000000, 0.000000], [-0.227952, 0.361777, -0.200272, 0.271176, 0.798118, -0.257911, 0.000000, 0.000000, 0.000000, 0.000000], [-0.368635, -0.112487, 0.664903, 0.098593, 0.264580, 0.574140, 0.000000, 0.000000, 0.000000, 0.000000], [0.546822, -0.023193, 0.650705, 0.154837, 0.119455, -0.488658, 0.000000, 0.000000, 0.000000, 0.000000], [-0.209559, 0.597923, 0.128974, 0.572093, -0.503550, -0.032958, 0.000000, 0.000000, 0.000000, 0.000000], [0.402431, -0.377225, -0.276954, 0.702165, 0.088915, 0.343664, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[53.392304, 54.339728, 55.376596, 59.011107, 234.458863], [21.748168, 22.644558, 22.833205, 22.842907, 23.797589], [36.659923, 36.743051, 37.220493, 40.101095, 220.894816], [53.120820, 53.737146, 55.758468, 55.773332, 210.550262], [19.383982, 21.208418, 21.466705, 21.502830, 22.339898], [40.198884, 40.708005, 41.550644, 41.949652, 184.337688]]
### 8
mean: [0.768673, 3.230631, -0.380988, -0.736136, 5.022831, -0.434851]
std: [1.271632, 4.609205, 0.113806, 1.312604, 6.332385, 0.114643]
pca: [[-0.147559, 0.939239, 0.077574, 0.066451, -0.082841, 0.280642, 0.000000, 0.000000, 0.000000, 0.000000], [0.574040, -0.091045, 0.292489, -0.445768, -0.273853, 0.550394, 0.000000, 0.000000, 0.000000, 0.000000], [-0.012431, 0.051558, 0.798364, 0.063503, -0.313597, -0.507372, 0.000000, 0.000000, 0.000000, 0.000000], [-0.163379, -0.073575, 0.493307, -0.033744, 0.806525, 0.270039, 0.000000, 0.000000, 0.000000, 0.000000], [0.788571, 0.226573, -0.082951, 0.334716, 0.344978, -0.298153, 0.000000, 0.000000, 0.000000, 0.000000], [-0.003610, -0.223906, 0.144271, 0.824421, -0.224291, 0.446165, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.454331, 22.497457, 22.752490, 23.872189, 69.180560], [76.585442, 78.636486, 80.714809, 80.804006, 290.756791], [1.998129, 2.002678, 2.286431, 2.655645, 34.288909], [22.214049, 22.231319, 22.722106, 23.812427, 66.252201], [105.021689, 107.110591, 109.949614, 112.454362, 452.054789], [1.907847, 1.993355, 1.994168, 2.107749, 39.136563]]
### 10
mean: [-2.747575]
std: [5.077911]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[84.090966, 85.967258, 87.528389, 90.143101, 247.281747]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
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"fourier": [105.02168901919012, 107.1105914967572, 109.94961382662274, 112.45436192095418, 452.05478935316205]}, "5": {"mean": -0.43485069274902344, "std": 0.1146426647901535, "pca": [-0.0036103695165365934, -0.22390583157539368, 0.14427074790000916, 0.8244207501411438, -0.22429126501083374, 0.44616466760635376, 0.0, 0.0, 0.0, 0.0], "fourier": [1.9078473082106708, 1.993354738191016, 1.99416771321311, 2.1077493723480822, 39.13656321167946]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -2.747575044631958, "std": 5.077910900115967, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [84.09096576604247, 85.96725755836547, 87.52838854846851, 90.14310056160483, 247.28174739331007]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.002448, 0.111716, -0.492429, 0.196618, -0.007906], [-0.168726, 0.292774, -0.153857, 0.177417, 0.2052], [1.115714, 0.279404, -0.430388, 0.722963, 0.257364], [0.978979, 0.600293, 0.350811, 0.223125, -0.137419], [-1.136769, 0.021256, -0.197771, 0.056112, 0.414408], [0.096308, -0.429956, -0.322236, 0.131483, 0.060555]], "network.0.bias": [0.14456, 0.49958, -0.360302, 0.159432, 0.617559, -0.053324], "network.2.weight": [[0.667375, -0.130436, 0.473183, 0.660636, -0.166817, 0.186769], [-0.190308, -0.16192, -0.117736, 0.005029, -0.258429, -0.6088], [-0.282756, -0.315758, -0.404921, -0.3367, 0.254118, 0.234121], [0.44194, 0.065041, 0.21551, 0.436394, -0.207685, -0.403102], [0.088252, -0.033703, -0.106825, 0.407723, -0.542934, -0.298917], [-0.016575, -0.24971, -0.262816, -0.1664, 0.113382, -0.351374]], "network.2.bias": [-0.172747, -0.116956, -0.212288, -0.25071, -0.298886, -0.041025], "network.4.weight": [[0.130171, -0.430233, 0.095694, -0.005508, 0.042488, -0.163174], [0.00148, 0.0441, -0.296431, -0.541599, 0.025816, -0.065326], [0.218625, -0.232067, 0.327179, 0.0065, -0.353322, -0.314287], [0.223666, -0.248876, 0.352228, 0.17855, 0.420875, -0.244126], [0.693022, 0.265539, -0.153956, 0.44032, 0.206694, -0.215883], [-0.304748, -0.066339, -0.327067, 0.291244, -0.337886, 0.036814]], "network.4.bias": [0.630033, -0.115843, -0.441877, -0.55197, -0.398417, 0.62314], "network.6.weight": [[0.141554, -0.111937, 0.459615, 0.498492, 0.521879, 0.401729], [0.333597, -0.018403, -0.024353, -0.256112, -0.242005, 0.444318], [-0.281434, 0.447836, -0.173468, 0.185784, -0.55482, -0.393505], [-0.036164, 0.428763, 0.217307, 0.849084, 0.387885, -0.368928], [0.092564, 0.133349, -0.000627, 0.000857, -0.289741, 0.503407], [0.423357, -0.193248, -0.090734, -0.01895, 0.525835, -0.061614]], "network.6.bias": [-0.33778, 0.630825, -0.168552, -0.102463, 0.878441, -0.332458], "network.8.weight": [[-0.039047, 0.805178, 0.589824, 0.038028, 0.709187, -0.27765], [0.691598, -0.506094, 0.305238, 0.525847, -0.216556, 0.207169], [-0.007416, -0.163292, -0.10654, 0.258681, 0.112632, -0.385542], [-0.121266, 0.081918, 0.27919, 0.025883, -0.154288, -0.441869], [0.768345, -0.033611, 0.177159, 0.710141, -0.26177, 0.653698], [-0.240428, -0.024875, -0.035697, 0.094181, -0.248753, 0.151387]], "network.8.bias": [0.626432, 0.075962, -0.170049, 0.468666, 0.107926, -0.211647], "network.10.weight": [[0.719795, -0.360965, 0.12145, 0.169456, -0.463338, -0.185441]], "network.10.bias": [0.084897]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6796371042728424, "train_acc": 0.575, "val_loss": 0.6802165508270264, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6410768926143646, "train_acc": 0.575, "val_loss": 0.5905774235725403, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6524520516395569, "train_acc": 0.58, "val_loss": 0.7134107947349548, "val_acc": 0.6}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5290880501270294, "train_acc": 0.72, "val_loss": 0.476561576128006, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.47227732837200165, "train_acc": 0.845, "val_loss": 0.4483582377433777, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.42767587304115295, "train_acc": 0.84, "val_loss": 0.3739697337150574, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.36124880611896515, "train_acc": 0.82, "val_loss": 0.4046940505504608, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.340887188911438, "train_acc": 0.86, "val_loss": 0.2493959367275238, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.267832949757576, "train_acc": 0.895, "val_loss": 0.22770139575004578, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2598721608519554, "train_acc": 0.895, "val_loss": 0.21866007149219513, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.23723288625478745, "train_acc": 0.9, "val_loss": 0.14324134588241577, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.20392761379480362, "train_acc": 0.9, "val_loss": 0.11528876423835754, "val_acc": 0.96}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6802165508270264, "final_val_loss": 0.5905774235725403, "initial_val_acc": 0.5, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.7134107947349548, "final_val_loss": 0.11528876423835754, "initial_val_acc": 0.6, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 7}, "improvement": 0.43999999999999995, "first_improvement_epoch": 1}}
|
132
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.54, "improved_accuracy": 0.9, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1154, "learning_rate": 0.06728970197739065, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
mean: [1.417726, 0.220485, 0.732335, 1.889022, 0.674964, 0.958322, -0.072596, 1.480900]
std: [1.981333, 1.836424, 1.694527, 1.660999, 1.047314, 2.140698, 1.497532, 2.011635]
pca: [[0.450958, 0.193172, 0.425900, -0.252016, 0.027407, 0.646367, 0.056447, -0.304453, 0.000000, 0.000000], [-0.397339, -0.379830, -0.037176, 0.109586, 0.620056, 0.517473, -0.021627, 0.178171, 0.000000, 0.000000], [0.348794, -0.280549, -0.319238, -0.440313, 0.343345, -0.225760, 0.572400, -0.085739, 0.000000, 0.000000], [0.311781, -0.417948, 0.278772, -0.296211, -0.154653, -0.043042, -0.290676, 0.672603, 0.000000, 0.000000], [0.147872, -0.210073, 0.071431, 0.579407, -0.347256, 0.205820, 0.615788, 0.225928, 0.000000, 0.000000], [-0.412213, -0.484855, 0.532558, -0.193734, -0.210943, -0.192211, 0.150540, -0.411996, 0.000000, 0.000000], [-0.163188, 0.486755, 0.533644, -0.030061, 0.367083, -0.271938, 0.338541, 0.357000, 0.000000, 0.000000], [0.448863, -0.221088, 0.253188, 0.518375, 0.416104, -0.329171, -0.260277, -0.259970, 0.000000, 0.000000]]
fourier: [[28.637674, 28.764264, 33.047846, 35.382927, 127.595362], [26.122658, 27.585891, 28.659760, 29.324228, 37.868155], [24.779807, 27.595373, 30.986547, 39.244702, 65.910189], [23.306670, 23.332609, 24.609440, 31.400870, 170.012007], [17.138784, 17.992647, 19.014664, 20.032046, 60.746765], [32.645230, 33.008636, 40.104093, 40.611974, 86.248954], [22.077923, 24.094027, 25.124321, 25.984050, 30.678942], [32.880841, 32.910958, 37.772233, 39.548732, 133.281034]]
### 2
mean: [-0.501883, 0.861200, -2.359510, 1.062066, -1.013640, -0.573135, 2.576032, -1.391820]
std: [2.029166, 1.267999, 1.192836, 1.079543, 2.287238, 1.806203, 1.778942, 1.328010]
pca: [[0.430998, 0.525221, 0.276322, -0.036335, 0.510115, -0.210814, -0.387978, 0.074315, 0.000000, 0.000000], [-0.279540, 0.155429, 0.000284, 0.536593, 0.528165, 0.511445, 0.251611, -0.076975, 0.000000, 0.000000], [0.208462, -0.546663, 0.348469, 0.285107, 0.095939, -0.002280, -0.031857, 0.666905, 0.000000, 0.000000], [-0.234198, 0.132848, -0.177292, 0.650560, -0.322333, -0.241548, -0.557096, 0.015552, 0.000000, 0.000000], [0.511276, 0.259948, -0.294278, 0.360933, -0.189952, -0.253602, 0.585046, 0.107134, 0.000000, 0.000000], [0.402489, 0.017219, -0.496321, -0.106882, -0.116401, 0.643181, -0.338007, 0.196132, 0.000000, 0.000000], [-0.367732, 0.554109, 0.170844, -0.185760, -0.289593, 0.149482, 0.135147, 0.607921, 0.000000, 0.000000], [0.281366, 0.092686, 0.639265, 0.173291, -0.462846, 0.367819, 0.001228, -0.352185, 0.000000, 0.000000]]
fourier: [[30.870278, 36.171744, 37.812104, 40.423582, 45.169481], [18.320940, 20.198143, 24.690592, 25.370877, 77.507975], [16.277543, 18.861611, 20.031506, 20.269430, 212.355889], [15.835105, 17.438854, 20.959971, 21.446678, 95.585942], [35.068174, 36.977361, 44.109685, 49.024467, 91.227594], [25.213007, 27.601350, 33.814036, 39.712221, 51.582178], [24.486708, 25.997952, 29.330022, 33.030596, 231.842888], [20.471224, 23.511111, 24.190925, 25.275674, 125.263824]]
### 4
mean: [1.288572, -0.129382, -0.160688, 0.034956, -0.675280, -1.699485, -1.944397, 0.698691]
std: [1.754838, 1.640003, 0.974340, 1.472917, 0.470034, 1.392590, 1.171190, 2.910929]
pca: [[-0.390830, -0.319427, 0.040369, 0.550641, 0.007357, 0.395962, 0.507602, 0.160881, 0.000000, 0.000000], [0.377379, 0.015870, 0.592851, -0.047677, 0.395480, 0.568386, -0.152800, 0.027803, 0.000000, 0.000000], [-0.220719, 0.004566, 0.623226, -0.401145, -0.132178, -0.298843, 0.511547, -0.182967, 0.000000, 0.000000], [0.333398, -0.203517, -0.256410, 0.036145, 0.687670, -0.303319, 0.407130, -0.222996, 0.000000, 0.000000], [0.055729, 0.252965, 0.302391, 0.680845, -0.061289, -0.282176, -0.176908, -0.513066, 0.000000, 0.000000], [0.303607, 0.317054, -0.290909, -0.119168, -0.344538, 0.451537, 0.391352, -0.482413, 0.000000, 0.000000], [0.112861, 0.736490, 0.018446, 0.159361, 0.109486, -0.124624, 0.297092, 0.550751, 0.000000, 0.000000], [0.661019, -0.386447, 0.127803, 0.170737, -0.467687, -0.199505, 0.137262, 0.301421, 0.000000, 0.000000]]
fourier: [[26.649289, 30.088257, 33.541547, 36.262927, 115.971454], [21.131955, 23.221632, 26.129929, 32.950190, 36.216201], [14.111114, 14.461956, 16.648982, 18.985037, 19.525732], [20.548468, 20.812990, 21.902428, 30.874832, 30.893357], [6.826515, 7.249783, 8.252778, 9.109468, 60.775195], [20.778867, 25.401754, 25.528903, 27.278663, 152.953658], [17.022557, 18.288759, 19.358137, 20.153105, 174.995764], [42.156573, 43.134900, 60.689304, 61.527694, 62.882218]]
### 6
mean: [0.370861, 0.104892, 0.124058, 0.706733, 0.089067, -1.698330, -0.502688, 0.605352]
std: [3.296464, 1.078179, 0.727826, 2.288251, 1.047899, 0.816443, 0.182753, 1.969043]
pca: [[0.696242, 0.133660, 0.064587, -0.363950, 0.393851, 0.142057, 0.085688, 0.422031, 0.000000, 0.000000], [-0.219622, -0.275783, -0.056072, -0.535452, 0.095941, -0.088215, 0.724289, -0.210419, 0.000000, 0.000000], [-0.137969, -0.308639, 0.307172, 0.035069, -0.435984, -0.167222, 0.143482, 0.742623, 0.000000, 0.000000], [0.480643, -0.246252, -0.106720, 0.558274, 0.032674, -0.489509, 0.347888, -0.153527, 0.000000, 0.000000], [-0.216702, -0.197123, 0.541761, 0.394271, 0.547094, 0.371188, 0.167571, 0.007505, 0.000000, 0.000000], [-0.006328, 0.786205, 0.409218, 0.077764, -0.210735, -0.124772, 0.378331, -0.072273, 0.000000, 0.000000], [0.028190, 0.101325, -0.503939, 0.302466, -0.226822, 0.638783, 0.390892, 0.176661, 0.000000, 0.000000], [0.411298, -0.287989, 0.414755, -0.122263, -0.499358, 0.378238, -0.049394, -0.407511, 0.000000, 0.000000]]
fourier: [[45.552235, 47.950574, 51.659861, 67.905243, 71.656322], [14.747318, 15.694353, 18.669395, 21.165428, 23.211890], [10.453983, 11.165200, 13.179544, 13.354331, 14.685127], [31.390688, 35.964857, 47.376117, 49.382506, 63.605966], [13.688709, 15.114642, 17.514350, 21.297381, 22.029797], [11.337307, 11.349757, 15.280971, 16.307573, 152.849744], [2.905781, 2.930280, 2.943792, 3.491777, 45.241962], [27.351268, 31.017947, 40.333130, 42.333690, 54.481707]]
### 8
mean: [-0.414870, 1.087650, -0.528084, -0.009720, -0.651805, 0.704499, 1.537651, 0.570784]
std: [0.824506, 3.450434, 1.183940, 0.387217, 1.488899, 3.561613, 3.279289, 3.616809]
pca: [[-0.114293, -0.035740, 0.204273, -0.456525, -0.334995, -0.524488, 0.567778, 0.160739, 0.000000, 0.000000], [0.478708, 0.075632, 0.286890, 0.654703, -0.193365, -0.428696, 0.062520, -0.170579, 0.000000, 0.000000], [0.138123, 0.659972, -0.298112, -0.236100, -0.352786, -0.233386, -0.462362, 0.089672, 0.000000, 0.000000], [-0.041359, -0.251215, 0.647965, -0.172858, -0.471158, 0.229384, -0.459018, -0.011744, 0.000000, 0.000000], [-0.205329, 0.170511, 0.177796, 0.332824, 0.051051, 0.053826, 0.002718, 0.883669, 0.000000, 0.000000], [0.494098, 0.091841, -0.151132, -0.034467, -0.403529, 0.607403, 0.419379, 0.125502, 0.000000, 0.000000], [0.447182, -0.625926, -0.346146, -0.143766, 0.004630, -0.248748, -0.270599, 0.364194, 0.000000, 0.000000], [0.500722, 0.255027, 0.439281, -0.380390, 0.581788, 0.018312, -0.011597, 0.087333, 0.000000, 0.000000]]
fourier: [[11.898866, 12.189585, 17.274851, 18.113975, 37.338296], [49.568453, 51.348465, 71.791139, 74.957821, 97.888472], [16.701557, 20.984942, 21.331492, 23.463547, 47.527580], [5.597240, 5.643930, 6.567177, 6.722696, 7.530628], [20.568218, 24.190622, 30.757407, 31.918751, 58.662429], [51.267809, 53.027817, 63.404893, 74.212205, 77.515731], [47.922041, 55.254571, 66.786052, 69.344816, 138.388587], [51.436728, 52.025292, 53.609387, 75.288066, 78.517497]]
### 10
mean: [-2.327201]
std: [4.221887]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[61.721860, 70.217077, 85.624675, 89.769956, 209.448092]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.299258,
-0.853627,
0.319878,
-0.403431,
-0.071645,
-0.019308,
0.487982
],
[
0.313511,
-0.755374,
-0.28546,
-0.007404,
-0.769561,
-0.188386,
-0.324082,
-0.193091
],
[
-0.494708,
0.336271,
0.203694,
0.370808,
0.15905,
-0.074194,
0.176956,
0.235467
],
[
-0.336047,
0.117267,
-0.017006,
-0.21949,
0.089129,
-0.064913,
-0.048961,
-0.04706
],
[
0.710308,
-0.785027,
-0.356172,
0.234903,
-0.412958,
-0.012082,
0.230155,
0.408503
],
[
0.788127,
0.059026,
-0.050117,
0.358124,
0.099035,
0.172614,
-0.001748,
0.251489
],
[
0.355508,
-0.68776,
-0.687312,
0.72688,
-0.620335,
0.35555,
0.184389,
0.309843
]
],
"network.8.bias": [
-0.270275,
0.087112,
-0.208826,
-0.122319,
-0.031812,
-0.243335,
-0.110301,
-0.163921
],
"network.10.weight": [
[
-0.02326,
-0.268611,
-0.134477,
0.344133,
0.025414,
-0.407019,
-0.219438,
-0.438553
]
],
"network.10.bias": [
-0.290604
]
}
## Activation Signature
### 0
mean: [1.417726, 0.220485, 0.732335, 1.889022, 0.674964, 0.958322, -0.072596, 1.480900]
std: [1.981333, 1.836424, 1.694527, 1.660999, 1.047314, 2.140698, 1.497532, 2.011635]
pca: [[0.450958, 0.193172, 0.425900, -0.252016, 0.027407, 0.646367, 0.056447, -0.304453, 0.000000, 0.000000], [-0.397339, -0.379830, -0.037176, 0.109586, 0.620056, 0.517473, -0.021627, 0.178171, 0.000000, 0.000000], [0.348794, -0.280549, -0.319238, -0.440313, 0.343345, -0.225760, 0.572400, -0.085739, 0.000000, 0.000000], [0.311781, -0.417948, 0.278772, -0.296211, -0.154653, -0.043042, -0.290676, 0.672603, 0.000000, 0.000000], [0.147872, -0.210073, 0.071431, 0.579407, -0.347256, 0.205820, 0.615788, 0.225928, 0.000000, 0.000000], [-0.412213, -0.484855, 0.532558, -0.193734, -0.210943, -0.192211, 0.150540, -0.411996, 0.000000, 0.000000], [-0.163188, 0.486755, 0.533644, -0.030061, 0.367083, -0.271938, 0.338541, 0.357000, 0.000000, 0.000000], [0.448863, -0.221088, 0.253188, 0.518375, 0.416104, -0.329171, -0.260277, -0.259970, 0.000000, 0.000000]]
fourier: [[28.637674, 28.764264, 33.047846, 35.382927, 127.595362], [26.122658, 27.585891, 28.659760, 29.324228, 37.868155], [24.779807, 27.595373, 30.986547, 39.244702, 65.910189], [23.306670, 23.332609, 24.609440, 31.400870, 170.012007], [17.138784, 17.992647, 19.014664, 20.032046, 60.746765], [32.645230, 33.008636, 40.104093, 40.611974, 86.248954], [22.077923, 24.094027, 25.124321, 25.984050, 30.678942], [32.880841, 32.910958, 37.772233, 39.548732, 133.281034]]
### 2
mean: [-0.501883, 0.861200, -2.359510, 1.062066, -1.013640, -0.573135, 2.576032, -1.391820]
std: [2.029166, 1.267999, 1.192836, 1.079543, 2.287238, 1.806203, 1.778942, 1.328010]
pca: [[0.430998, 0.525221, 0.276322, -0.036335, 0.510115, -0.210814, -0.387978, 0.074315, 0.000000, 0.000000], [-0.279540, 0.155429, 0.000284, 0.536593, 0.528165, 0.511445, 0.251611, -0.076975, 0.000000, 0.000000], [0.208462, -0.546663, 0.348469, 0.285107, 0.095939, -0.002280, -0.031857, 0.666905, 0.000000, 0.000000], [-0.234198, 0.132848, -0.177292, 0.650560, -0.322333, -0.241548, -0.557096, 0.015552, 0.000000, 0.000000], [0.511276, 0.259948, -0.294278, 0.360933, -0.189952, -0.253602, 0.585046, 0.107134, 0.000000, 0.000000], [0.402489, 0.017219, -0.496321, -0.106882, -0.116401, 0.643181, -0.338007, 0.196132, 0.000000, 0.000000], [-0.367732, 0.554109, 0.170844, -0.185760, -0.289593, 0.149482, 0.135147, 0.607921, 0.000000, 0.000000], [0.281366, 0.092686, 0.639265, 0.173291, -0.462846, 0.367819, 0.001228, -0.352185, 0.000000, 0.000000]]
fourier: [[30.870278, 36.171744, 37.812104, 40.423582, 45.169481], [18.320940, 20.198143, 24.690592, 25.370877, 77.507975], [16.277543, 18.861611, 20.031506, 20.269430, 212.355889], [15.835105, 17.438854, 20.959971, 21.446678, 95.585942], [35.068174, 36.977361, 44.109685, 49.024467, 91.227594], [25.213007, 27.601350, 33.814036, 39.712221, 51.582178], [24.486708, 25.997952, 29.330022, 33.030596, 231.842888], [20.471224, 23.511111, 24.190925, 25.275674, 125.263824]]
### 4
mean: [1.288572, -0.129382, -0.160688, 0.034956, -0.675280, -1.699485, -1.944397, 0.698691]
std: [1.754838, 1.640003, 0.974340, 1.472917, 0.470034, 1.392590, 1.171190, 2.910929]
pca: [[-0.390830, -0.319427, 0.040369, 0.550641, 0.007357, 0.395962, 0.507602, 0.160881, 0.000000, 0.000000], [0.377379, 0.015870, 0.592851, -0.047677, 0.395480, 0.568386, -0.152800, 0.027803, 0.000000, 0.000000], [-0.220719, 0.004566, 0.623226, -0.401145, -0.132178, -0.298843, 0.511547, -0.182967, 0.000000, 0.000000], [0.333398, -0.203517, -0.256410, 0.036145, 0.687670, -0.303319, 0.407130, -0.222996, 0.000000, 0.000000], [0.055729, 0.252965, 0.302391, 0.680845, -0.061289, -0.282176, -0.176908, -0.513066, 0.000000, 0.000000], [0.303607, 0.317054, -0.290909, -0.119168, -0.344538, 0.451537, 0.391352, -0.482413, 0.000000, 0.000000], [0.112861, 0.736490, 0.018446, 0.159361, 0.109486, -0.124624, 0.297092, 0.550751, 0.000000, 0.000000], [0.661019, -0.386447, 0.127803, 0.170737, -0.467687, -0.199505, 0.137262, 0.301421, 0.000000, 0.000000]]
fourier: [[26.649289, 30.088257, 33.541547, 36.262927, 115.971454], [21.131955, 23.221632, 26.129929, 32.950190, 36.216201], [14.111114, 14.461956, 16.648982, 18.985037, 19.525732], [20.548468, 20.812990, 21.902428, 30.874832, 30.893357], [6.826515, 7.249783, 8.252778, 9.109468, 60.775195], [20.778867, 25.401754, 25.528903, 27.278663, 152.953658], [17.022557, 18.288759, 19.358137, 20.153105, 174.995764], [42.156573, 43.134900, 60.689304, 61.527694, 62.882218]]
### 6
mean: [0.370861, 0.104892, 0.124058, 0.706733, 0.089067, -1.698330, -0.502688, 0.605352]
std: [3.296464, 1.078179, 0.727826, 2.288251, 1.047899, 0.816443, 0.182753, 1.969043]
pca: [[0.696242, 0.133660, 0.064587, -0.363950, 0.393851, 0.142057, 0.085688, 0.422031, 0.000000, 0.000000], [-0.219622, -0.275783, -0.056072, -0.535452, 0.095941, -0.088215, 0.724289, -0.210419, 0.000000, 0.000000], [-0.137969, -0.308639, 0.307172, 0.035069, -0.435984, -0.167222, 0.143482, 0.742623, 0.000000, 0.000000], [0.480643, -0.246252, -0.106720, 0.558274, 0.032674, -0.489509, 0.347888, -0.153527, 0.000000, 0.000000], [-0.216702, -0.197123, 0.541761, 0.394271, 0.547094, 0.371188, 0.167571, 0.007505, 0.000000, 0.000000], [-0.006328, 0.786205, 0.409218, 0.077764, -0.210735, -0.124772, 0.378331, -0.072273, 0.000000, 0.000000], [0.028190, 0.101325, -0.503939, 0.302466, -0.226822, 0.638783, 0.390892, 0.176661, 0.000000, 0.000000], [0.411298, -0.287989, 0.414755, -0.122263, -0.499358, 0.378238, -0.049394, -0.407511, 0.000000, 0.000000]]
fourier: [[45.552235, 47.950574, 51.659861, 67.905243, 71.656322], [14.747318, 15.694353, 18.669395, 21.165428, 23.211890], [10.453983, 11.165200, 13.179544, 13.354331, 14.685127], [31.390688, 35.964857, 47.376117, 49.382506, 63.605966], [13.688709, 15.114642, 17.514350, 21.297381, 22.029797], [11.337307, 11.349757, 15.280971, 16.307573, 152.849744], [2.905781, 2.930280, 2.943792, 3.491777, 45.241962], [27.351268, 31.017947, 40.333130, 42.333690, 54.481707]]
### 8
mean: [-0.414870, 1.087650, -0.528084, -0.009720, -0.651805, 0.704499, 1.537651, 0.570784]
std: [0.824506, 3.450434, 1.183940, 0.387217, 1.488899, 3.561613, 3.279289, 3.616809]
pca: [[-0.114293, -0.035740, 0.204273, -0.456525, -0.334995, -0.524488, 0.567778, 0.160739, 0.000000, 0.000000], [0.478708, 0.075632, 0.286890, 0.654703, -0.193365, -0.428696, 0.062520, -0.170579, 0.000000, 0.000000], [0.138123, 0.659972, -0.298112, -0.236100, -0.352786, -0.233386, -0.462362, 0.089672, 0.000000, 0.000000], [-0.041359, -0.251215, 0.647965, -0.172858, -0.471158, 0.229384, -0.459018, -0.011744, 0.000000, 0.000000], [-0.205329, 0.170511, 0.177796, 0.332824, 0.051051, 0.053826, 0.002718, 0.883669, 0.000000, 0.000000], [0.494098, 0.091841, -0.151132, -0.034467, -0.403529, 0.607403, 0.419379, 0.125502, 0.000000, 0.000000], [0.447182, -0.625926, -0.346146, -0.143766, 0.004630, -0.248748, -0.270599, 0.364194, 0.000000, 0.000000], [0.500722, 0.255027, 0.439281, -0.380390, 0.581788, 0.018312, -0.011597, 0.087333, 0.000000, 0.000000]]
fourier: [[11.898866, 12.189585, 17.274851, 18.113975, 37.338296], [49.568453, 51.348465, 71.791139, 74.957821, 97.888472], [16.701557, 20.984942, 21.331492, 23.463547, 47.527580], [5.597240, 5.643930, 6.567177, 6.722696, 7.530628], [20.568218, 24.190622, 30.757407, 31.918751, 58.662429], [51.267809, 53.027817, 63.404893, 74.212205, 77.515731], [47.922041, 55.254571, 66.786052, 69.344816, 138.388587], [51.436728, 52.025292, 53.609387, 75.288066, 78.517497]]
### 10
mean: [-2.327201]
std: [4.221887]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[61.721860, 70.217077, 85.624675, 89.769956, 209.448092]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6773464381694794, "train_acc": 0.58, "val_loss": 0.5979316830635071, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6130938231945038, "train_acc": 0.625, "val_loss": 0.5620884895324707, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5660656094551086, "train_acc": 0.57, "val_loss": 0.7408518195152283, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.630753755569458, "train_acc": 0.615, "val_loss": 0.5631894469261169, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5940478444099426, "train_acc": 0.735, "val_loss": 0.5579714775085449, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5827170014381409, "train_acc": 0.635, "val_loss": 0.5053820610046387, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.5425451993942261, "train_acc": 0.765, "val_loss": 0.3985327482223511, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.5872887969017029, "train_acc": 0.74, "val_loss": 0.44003844261169434, "val_acc": 0.74}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.5864311456680298, "train_acc": 0.725, "val_loss": 0.5531870722770691, "val_acc": 0.68}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.5375144630670547, "train_acc": 0.675, "val_loss": 0.4854271411895752, "val_acc": 0.82}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.5979316830635071, "final_val_loss": 0.5620884895324707, "initial_val_acc": 0.62, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.7408518195152283, "final_val_loss": 0.4854271411895752, "initial_val_acc": 0.56, "final_val_acc": 0.82, "best_val_acc": 0.9, "best_epoch": 3}, "improvement": 0.36, "first_improvement_epoch": 1}}
|
133
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.48, "improved_accuracy": 0.94, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5515, "learning_rate": 0.08505465711262718, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.271875,
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-0.45932,
0.246393,
0.655847
],
[
-0.651695,
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-0.163871,
0.126717,
0.483159
],
[
0.2355,
0.266219,
-0.087512,
-0.167371,
-0.2723
],
[
1.117725,
0.443634,
0.179639,
0.386797,
-0.529893
],
[
0.247305,
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-0.557031,
-0.196521,
0.001086
]
],
"network.0.bias": [
0.191238,
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-0.518655,
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0.337258
],
"network.2.weight": [
[
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0.529189
],
[
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-0.167425,
0.303198,
0.414789
],
[
-0.158825,
-0.122563,
0.21649,
0.117336,
-0.280405
],
[
0.061059,
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0.57469,
-0.517771,
0.646876
],
[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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],
[
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],
[
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],
[
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0.5
]
],
"network.4.bias": [
0.280023,
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0.380014
],
"network.6.weight": [
[
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],
[
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0.388403,
0.92434,
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],
[
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1.045233,
0.899334
],
[
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],
[
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1.023232,
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]
],
"network.6.bias": [
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],
"network.8.weight": [
[
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[
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],
[
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[
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[
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],
"network.8.bias": [
0.529151,
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],
"network.10.weight": [
[
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],
[
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],
[
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],
[
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],
[
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]
],
"network.10.bias": [
0.003285,
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],
"network.12.weight": [
[
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]
],
"network.12.bias": [
0.286857
]
}
## Activation Signature
### 0
mean: [-1.088523, -1.094487, -0.618038, 2.494063, 0.536334]
std: [2.234836, 2.176015, 0.920991, 2.913873, 1.699898]
pca: [[-0.471541, 0.141398, 0.728943, 0.403711, -0.251625, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.507411, 0.002735, 0.134834, -0.354953, 0.773534, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.183191, 0.203585, -0.181955, 0.791912, 0.514550, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.648405, -0.315943, 0.629614, -0.100053, 0.270789, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.257284, 0.915823, 0.144707, -0.271827, 0.015574, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.576422, 37.975919, 38.172118, 40.062350, 97.967081], [33.435305, 37.343457, 37.408218, 38.896261, 98.503836], [12.963294, 14.328132, 14.933691, 16.309318, 55.623438], [45.522077, 47.561025, 53.052817, 54.101459, 224.465704], [24.472569, 29.857483, 35.682566, 41.634739, 48.270031]]
### 2
mean: [0.034166, 1.185055, -0.501008, -1.000396, 2.204727]
std: [1.542724, 1.618932, 0.394460, 1.249142, 1.720618]
pca: [[-0.500195, 0.458073, 0.509295, 0.312232, 0.427906, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.531713, 0.431707, -0.425620, 0.515532, 0.289800, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.105697, -0.236090, -0.102282, -0.467455, 0.839115, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.367676, 0.600392, -0.510294, -0.480427, -0.114600, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.566329, 0.433115, 0.537219, -0.432913, -0.125161, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.781213, 23.696191, 24.710563, 25.430636, 34.312695], [25.363709, 25.859985, 29.502280, 32.428788, 106.654915], [6.109355, 6.731940, 6.734011, 7.889669, 45.090694], [19.634540, 20.845666, 22.597847, 25.595234, 90.035649], [26.012662, 29.888056, 31.866069, 32.738865, 198.425445]]
### 4
mean: [-1.726827, 1.308929, -0.159122, 2.656761, 2.632990]
std: [2.152258, 1.585740, 0.579457, 2.566885, 2.216412]
pca: [[-0.500062, 0.110925, -0.245462, 0.822978, -0.009440, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.365144, 0.304930, 0.595217, 0.352065, -0.543556, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.069487, 0.705958, -0.575915, -0.228557, -0.335974, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.595162, 0.297024, -0.080062, 0.305483, 0.676631, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.507505, -0.555080, -0.497370, 0.230649, -0.365717, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.643848, 39.822931, 40.169171, 41.181368, 155.414421], [22.601846, 27.100966, 31.163702, 33.039630, 117.803624], [8.615243, 8.980541, 10.757993, 11.114064, 14.321009], [36.692284, 44.712440, 50.387760, 51.888791, 239.108522], [36.590167, 37.970367, 40.433507, 42.197841, 236.969065]]
### 6
mean: [4.061321, 5.160832, 4.941626, 4.795500, 4.218099]
std: [3.415097, 4.247519, 4.371956, 3.848328, 3.612957]
pca: [[0.390030, -0.310928, -0.251523, 0.102943, 0.823006, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.485148, -0.146941, 0.652592, -0.562958, -0.015572, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.499112, 0.771278, -0.351434, -0.177740, -0.030320, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.439424, -0.527094, -0.475356, -0.019553, -0.550211, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.412676, 0.095045, 0.401735, 0.800317, -0.136992, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.596651, 61.195745, 64.587266, 64.795276, 365.518847], [69.833256, 76.229903, 80.555753, 80.579314, 464.474863], [73.187178, 75.990896, 81.801151, 83.748649, 444.746293], [62.322238, 69.219645, 72.797740, 72.919138, 431.594984], [59.530785, 64.114663, 68.377756, 68.678406, 379.628909]]
### 8
mean: [-11.111885, 16.469753, 15.092568, -10.947217, -9.792320]
std: [9.747905, 13.703279, 12.653053, 9.463238, 8.954183]
pca: [[-0.393839, 0.077604, 0.570945, -0.453095, 0.554613, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.553643, 0.325572, 0.484015, -0.377470, -0.459051, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.511206, 0.515859, -0.173122, 0.201811, 0.633924, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.382326, 0.521905, 0.373316, 0.629250, -0.214762, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.361754, 0.591173, -0.520015, -0.464261, -0.183561, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[163.544069, 167.903641, 183.406894, 188.840959, 1000.069645], [229.846486, 236.941812, 258.225299, 265.258203, 1482.277684], [212.102615, 219.015995, 238.561251, 244.920523, 1358.331151], [158.968602, 162.352858, 177.754028, 183.443824, 985.249439], [150.566719, 153.574230, 168.051539, 173.553711, 881.308854]]
### 10
mean: [16.969473, 17.838108, 17.939108, 28.176708, -11.343550]
std: [14.169814, 15.033715, 14.991383, 23.339790, 9.149411]
pca: [[0.396087, 0.211276, -0.106219, 0.816536, -0.347079, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.420235, 0.222390, 0.777044, 0.014910, 0.412219, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.419047, -0.262491, -0.519701, 0.090668, 0.690788, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.652423, 0.242502, -0.207208, -0.569717, -0.384739, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.255462, 0.882155, -0.268131, -0.015727, 0.290517, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[237.462788, 246.568681, 267.276525, 273.858275, 1527.252716], [251.994911, 261.541562, 283.697595, 290.644183, 1605.429681], [252.225142, 257.698373, 282.431333, 290.892353, 1614.519514], [391.338508, 405.402001, 440.181887, 451.382997, 2535.903806], [152.511163, 155.344848, 171.669341, 178.944998, 1020.919536]]
### 12
mean: [-22.369463]
std: [18.704304]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[315.002902, 321.944262, 352.485928, 362.915790, 2013.251518]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.271875,
-0.723959,
-0.45932,
0.246393,
0.655847
],
[
-0.651695,
-0.60606,
-0.163871,
0.126717,
0.483159
],
[
0.2355,
0.266219,
-0.087512,
-0.167371,
-0.2723
],
[
1.117725,
0.443634,
0.179639,
0.386797,
-0.529893
],
[
0.247305,
0.809442,
-0.557031,
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0.001086
]
],
"network.0.bias": [
0.191238,
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0.337258
],
"network.2.weight": [
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],
[
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-0.167425,
0.303198,
0.414789
],
[
-0.158825,
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0.21649,
0.117336,
-0.280405
],
[
0.061059,
0.591076,
0.57469,
-0.517771,
0.646876
],
[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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],
[
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],
[
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],
[
-0.306911,
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0.5
]
],
"network.4.bias": [
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0.127433,
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0.380014
],
"network.6.weight": [
[
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0.844789,
0.661674
],
[
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0.388403,
0.92434,
0.759106
],
[
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0.386448,
1.045233,
0.899334
],
[
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],
[
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1.023232,
0.562901
]
],
"network.6.bias": [
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0.019915
],
"network.8.weight": [
[
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],
[
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[
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[
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[
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],
"network.8.bias": [
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0.697126
],
"network.10.weight": [
[
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[
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[
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0.198969
],
[
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0.767319,
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[
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],
"network.10.bias": [
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],
"network.12.weight": [
[
-0.126103,
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]
],
"network.12.bias": [
0.286857
]
}
## Activation Signature
### 0
mean: [-1.088523, -1.094487, -0.618038, 2.494063, 0.536334]
std: [2.234836, 2.176015, 0.920991, 2.913873, 1.699898]
pca: [[-0.471541, 0.141398, 0.728943, 0.403711, -0.251625, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.507411, 0.002735, 0.134834, -0.354953, 0.773534, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.183191, 0.203585, -0.181955, 0.791912, 0.514550, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.648405, -0.315943, 0.629614, -0.100053, 0.270789, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.257284, 0.915823, 0.144707, -0.271827, 0.015574, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.576422, 37.975919, 38.172118, 40.062350, 97.967081], [33.435305, 37.343457, 37.408218, 38.896261, 98.503836], [12.963294, 14.328132, 14.933691, 16.309318, 55.623438], [45.522077, 47.561025, 53.052817, 54.101459, 224.465704], [24.472569, 29.857483, 35.682566, 41.634739, 48.270031]]
### 2
mean: [0.034166, 1.185055, -0.501008, -1.000396, 2.204727]
std: [1.542724, 1.618932, 0.394460, 1.249142, 1.720618]
pca: [[-0.500195, 0.458073, 0.509295, 0.312232, 0.427906, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.531713, 0.431707, -0.425620, 0.515532, 0.289800, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.105697, -0.236090, -0.102282, -0.467455, 0.839115, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.367676, 0.600392, -0.510294, -0.480427, -0.114600, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.566329, 0.433115, 0.537219, -0.432913, -0.125161, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.781213, 23.696191, 24.710563, 25.430636, 34.312695], [25.363709, 25.859985, 29.502280, 32.428788, 106.654915], [6.109355, 6.731940, 6.734011, 7.889669, 45.090694], [19.634540, 20.845666, 22.597847, 25.595234, 90.035649], [26.012662, 29.888056, 31.866069, 32.738865, 198.425445]]
### 4
mean: [-1.726827, 1.308929, -0.159122, 2.656761, 2.632990]
std: [2.152258, 1.585740, 0.579457, 2.566885, 2.216412]
pca: [[-0.500062, 0.110925, -0.245462, 0.822978, -0.009440, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.365144, 0.304930, 0.595217, 0.352065, -0.543556, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.069487, 0.705958, -0.575915, -0.228557, -0.335974, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.595162, 0.297024, -0.080062, 0.305483, 0.676631, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.507505, -0.555080, -0.497370, 0.230649, -0.365717, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.643848, 39.822931, 40.169171, 41.181368, 155.414421], [22.601846, 27.100966, 31.163702, 33.039630, 117.803624], [8.615243, 8.980541, 10.757993, 11.114064, 14.321009], [36.692284, 44.712440, 50.387760, 51.888791, 239.108522], [36.590167, 37.970367, 40.433507, 42.197841, 236.969065]]
### 6
mean: [4.061321, 5.160832, 4.941626, 4.795500, 4.218099]
std: [3.415097, 4.247519, 4.371956, 3.848328, 3.612957]
pca: [[0.390030, -0.310928, -0.251523, 0.102943, 0.823006, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.485148, -0.146941, 0.652592, -0.562958, -0.015572, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.499112, 0.771278, -0.351434, -0.177740, -0.030320, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.439424, -0.527094, -0.475356, -0.019553, -0.550211, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.412676, 0.095045, 0.401735, 0.800317, -0.136992, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.596651, 61.195745, 64.587266, 64.795276, 365.518847], [69.833256, 76.229903, 80.555753, 80.579314, 464.474863], [73.187178, 75.990896, 81.801151, 83.748649, 444.746293], [62.322238, 69.219645, 72.797740, 72.919138, 431.594984], [59.530785, 64.114663, 68.377756, 68.678406, 379.628909]]
### 8
mean: [-11.111885, 16.469753, 15.092568, -10.947217, -9.792320]
std: [9.747905, 13.703279, 12.653053, 9.463238, 8.954183]
pca: [[-0.393839, 0.077604, 0.570945, -0.453095, 0.554613, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.553643, 0.325572, 0.484015, -0.377470, -0.459051, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.511206, 0.515859, -0.173122, 0.201811, 0.633924, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.382326, 0.521905, 0.373316, 0.629250, -0.214762, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.361754, 0.591173, -0.520015, -0.464261, -0.183561, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[163.544069, 167.903641, 183.406894, 188.840959, 1000.069645], [229.846486, 236.941812, 258.225299, 265.258203, 1482.277684], [212.102615, 219.015995, 238.561251, 244.920523, 1358.331151], [158.968602, 162.352858, 177.754028, 183.443824, 985.249439], [150.566719, 153.574230, 168.051539, 173.553711, 881.308854]]
### 10
mean: [16.969473, 17.838108, 17.939108, 28.176708, -11.343550]
std: [14.169814, 15.033715, 14.991383, 23.339790, 9.149411]
pca: [[0.396087, 0.211276, -0.106219, 0.816536, -0.347079, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.420235, 0.222390, 0.777044, 0.014910, 0.412219, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.419047, -0.262491, -0.519701, 0.090668, 0.690788, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.652423, 0.242502, -0.207208, -0.569717, -0.384739, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.255462, 0.882155, -0.268131, -0.015727, 0.290517, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[237.462788, 246.568681, 267.276525, 273.858275, 1527.252716], [251.994911, 261.541562, 283.697595, 290.644183, 1605.429681], [252.225142, 257.698373, 282.431333, 290.892353, 1614.519514], [391.338508, 405.402001, 440.181887, 451.382997, 2535.903806], [152.511163, 155.344848, 171.669341, 178.944998, 1020.919536]]
### 12
mean: [-22.369463]
std: [18.704304]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[315.002902, 321.944262, 352.485928, 362.915790, 2013.251518]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.088523030281067, "std": 2.2348363399505615, "pca": [-0.471541166305542, 0.141398087143898, 0.7289430499076843, 0.40371114015579224, -0.25162455439567566, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [36.57642237426963, 37.97591901196331, 38.17211824145566, 40.06235027239239, 97.96708133816719]}, "1": {"mean": -1.094486951828003, "std": 2.1760151386260986, "pca": [-0.5074113011360168, 0.00273457495495677, 0.13483425974845886, -0.3549528121948242, 0.7735337615013123, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [33.43530498685624, 37.34345675985, 37.40821782709601, 38.89626135013677, 98.50383573770523]}, "2": {"mean": -0.6180381774902344, "std": 0.9209911227226257, "pca": [0.1831905096769333, 0.20358474552631378, -0.18195542693138123, 0.7919124364852905, 0.514549732208252, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [12.963293768606665, 14.328131704003582, 14.933691277408226, 16.309318249092357, 55.623437970876694]}, "3": {"mean": 2.494063377380371, "std": 2.9138729572296143, "pca": [0.6484047174453735, -0.3159434497356415, 0.6296141147613525, -0.10005266964435577, 0.27078887820243835, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [45.52207727417617, 47.56102514619191, 53.05281726078712, 54.10145903249992, 224.46570447087288]}, "4": {"mean": 0.5363336801528931, "std": 1.6998982429504395, "pca": [0.25728437304496765, 0.9158231616020203, 0.14470690488815308, -0.27182716131210327, 0.015574440360069275, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [24.472568507652095, 29.85748330294691, 35.68256631396262, 41.634738925007824, 48.27003079652786]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": 0.034165747463703156, "std": 1.542723536491394, "pca": [-0.500194787979126, 0.45807328820228577, 0.5092952251434326, 0.31223249435424805, 0.42790570855140686, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [21.781212845321413, 23.696190811203103, 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"fourier": [152.51116277891617, 155.3448479690229, 171.66934149680134, 178.9449983753479, 1020.9195364117622]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "12": {"neuron_profiles": {"0": {"mean": -22.369462966918945, "std": 18.704303741455078, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [315.002901777525, 321.9442615491852, 352.4859276802899, 362.9157901790558, 2013.2515179216862]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.271875, -0.723959, -0.45932, 0.246393, 0.655847], [-0.651695, -0.60606, -0.163871, 0.126717, 0.483159], [0.2355, 0.266219, -0.087512, -0.167371, -0.2723], [1.117725, 0.443634, 0.179639, 0.386797, -0.529893], [0.247305, 0.809442, -0.557031, -0.196521, 0.001086]], "network.0.bias": [0.191238, 0.295563, -0.518655, -0.256459, 0.337258], "network.2.weight": [[0.706452, 0.45123, -0.210308, -0.439804, 0.529189], [-0.36148, -0.635581, -0.167425, 0.303198, 0.414789], [-0.158825, -0.122563, 0.21649, 0.117336, -0.280405], [0.061059, 0.591076, 0.57469, -0.517771, 0.646876], [-0.260094, -0.31652, -0.667941, 0.486907, 0.358692]], "network.2.bias": [0.401035, 0.297994, -0.491956, -0.392685, 0.812347], "network.4.weight": [[0.608418, -0.491561, 0.09896, -0.608163, -0.738732], [-0.249654, -0.047651, -0.024221, -0.510858, 0.829265], [-0.348021, 0.181348, -0.19498, -0.559501, -0.159923], [-0.527171, 0.618739, 0.072681, -0.475278, 0.800365], [-0.306911, 0.971705, -0.282425, 0.476039, 0.5]], "network.4.bias": [0.280023, -0.306215, 0.127433, 0.390128, 0.380014], "network.6.weight": [[-0.463808, -0.074355, -0.121659, 0.844789, 0.661674], [-0.517378, 0.232249, 0.388403, 0.92434, 0.759106], [-0.141045, -0.061912, 0.386448, 1.045233, 0.899334], [-0.590372, -0.103193, -0.236868, 0.92977, 0.774582], [-0.324833, -0.049255, -0.014044, 1.023232, 0.562901]], "network.6.bias": [0.155088, 0.361114, -0.191274, 0.415285, 0.019915], "network.8.weight": [[-0.507398, -0.347971, -0.435039, -0.419036, -0.854332], [0.75965, 1.090885, 0.472731, 0.709168, 0.493101], [0.869136, 0.918856, 0.234323, 0.804085, 0.488076], [-0.56957, -0.292074, -0.66517, 0.027708, -0.976357], [-0.469168, -0.582099, -0.98165, 0.087355, -0.2687]], "network.8.bias": [0.529151, -0.103064, -0.292897, 0.159456, 0.697126], "network.10.weight": [[-0.33127, 0.801231, 0.250542, -0.219795, -0.589255], [-0.574044, 0.361443, 0.795255, 0.230858, -0.687128], [-0.443474, 0.749565, 0.37684, 0.225334, 0.198969], [-0.744406, 0.993659, 0.767319, -0.241631, -0.680072], [-0.7858, -0.600914, -0.082624, -0.007219, -0.748441]], "network.10.bias": [0.003285, -0.107316, -0.131821, 0.235709, -0.093628], "network.12.weight": [[-0.126103, -0.462237, 0.079032, -0.482657, -0.506152]], "network.12.bias": [0.286857]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6904997527599335, "train_acc": 0.49, "val_loss": 0.708558976650238, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6538533866405487, "train_acc": 0.58, "val_loss": 0.5981875061988831, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5649483501911163, "train_acc": 0.505, "val_loss": 0.4402637183666229, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4802076369524002, "train_acc": 0.785, "val_loss": 0.3462614417076111, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5283537209033966, "train_acc": 0.815, "val_loss": 0.3095014691352844, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4239094704389572, "train_acc": 0.83, "val_loss": 0.2936317026615143, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.38790130615234375, "train_acc": 0.84, "val_loss": 0.29237306118011475, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3363916277885437, "train_acc": 0.885, "val_loss": 0.4381561279296875, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3782280683517456, "train_acc": 0.855, "val_loss": 0.3065454661846161, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3454410284757614, "train_acc": 0.855, "val_loss": 0.28228721022605896, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.30258268117904663, "train_acc": 0.865, "val_loss": 0.31439051032066345, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.2774018943309784, "train_acc": 0.895, "val_loss": 0.22136041522026062, "val_acc": 0.92}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.708558976650238, "final_val_loss": 0.5981875061988831, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.4402637183666229, "final_val_loss": 0.22136041522026062, "initial_val_acc": 0.9, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 4}, "improvement": 0.45999999999999996, "first_improvement_epoch": 1}}
|
134
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.52, "improved_accuracy": 0.94, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8523, "learning_rate": 0.039086492670896485, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.4.weight": [
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[
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[
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[
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [0.768405, 0.873071, -0.991411, 1.240819, -1.003618, 0.231309, 1.680291]
std: [1.436440, 1.887814, 1.598818, 1.344509, 1.623423, 1.413790, 2.940257]
pca: [[-0.182349, 0.563343, 0.287430, -0.478176, 0.286090, 0.387207, -0.326110, 0.000000, 0.000000, 0.000000], [-0.440426, -0.057695, -0.184690, 0.239652, 0.813301, -0.166331, 0.148419, 0.000000, 0.000000, 0.000000], [0.292141, -0.222146, 0.596418, 0.341509, 0.236983, -0.195510, -0.546422, 0.000000, 0.000000, 0.000000], [-0.149758, 0.631615, -0.178953, 0.244609, -0.225657, -0.606823, -0.260042, 0.000000, 0.000000, 0.000000], [-0.287649, 0.206424, 0.664028, 0.269747, -0.171593, 0.015929, 0.575545, 0.000000, 0.000000, 0.000000], [-0.300295, 0.025885, -0.189530, 0.608504, -0.203444, 0.607889, -0.303372, 0.000000, 0.000000, 0.000000], [0.701485, 0.433299, -0.136675, 0.307264, 0.280675, 0.214856, 0.286598, 0.000000, 0.000000, 0.000000]]
fourier: [[22.589933, 23.068877, 23.284199, 33.649013, 69.156431], [29.106991, 31.788162, 33.952564, 35.468932, 78.576378], [25.769090, 27.301457, 31.122198, 34.782323, 89.226995], [21.245082, 23.095892, 24.519648, 24.763193, 111.673718], [24.733913, 26.066379, 29.391386, 31.139823, 90.325644], [19.717330, 20.817771, 21.281106, 21.555859, 24.000620], [46.453952, 47.934769, 52.169554, 54.841011, 151.226223]]
### 2
mean: [0.309403, 1.330623, 0.144530, 0.695193, 1.719745, 0.315799, -0.232874]
std: [2.146937, 1.616736, 3.266639, 1.089964, 1.932670, 1.449778, 2.381664]
pca: [[-0.395106, 0.342958, 0.398930, 0.654318, 0.211415, 0.297183, 0.077329, 0.000000, 0.000000, 0.000000], [0.044187, 0.727535, -0.170352, 0.097859, -0.521030, -0.345295, -0.198605, 0.000000, 0.000000, 0.000000], [0.646699, 0.113287, 0.060152, 0.153574, -0.219242, 0.300937, 0.634913, 0.000000, 0.000000, 0.000000], [0.163425, 0.321212, 0.034042, -0.387001, 0.074214, 0.716589, -0.447412, 0.000000, 0.000000, 0.000000], [0.352301, 0.331993, -0.281495, 0.079559, 0.781231, -0.263667, -0.015913, 0.000000, 0.000000, 0.000000], [-0.241161, 0.332462, 0.463993, -0.611687, 0.140763, -0.192436, 0.430132, 0.000000, 0.000000, 0.000000], [0.463397, -0.127717, 0.715912, 0.091901, -0.010947, -0.286075, -0.407452, 0.000000, 0.000000, 0.000000]]
fourier: [[33.264914, 34.379659, 34.688685, 36.129621, 36.401500], [29.446557, 30.663130, 31.822499, 35.572248, 119.756043], [45.750088, 46.490409, 47.343169, 48.153337, 58.696505], [16.176765, 17.705424, 20.257483, 22.410552, 62.567323], [29.151252, 31.388231, 32.214976, 34.638805, 154.777054], [24.899734, 26.214765, 26.250313, 27.202495, 28.421904], [33.184931, 33.971401, 34.357806, 35.429799, 44.055453]]
### 4
mean: [-1.404869, -0.055967, 0.312551, -0.049791, -1.284206, 3.431539, 2.019226]
std: [1.185022, 0.954221, 2.103019, 1.072269, 1.121681, 4.061360, 2.489234]
pca: [[-0.193345, 0.209865, 0.575974, -0.599788, -0.310460, 0.361488, 0.004794, 0.000000, 0.000000, 0.000000], [-0.179198, -0.082272, -0.356282, -0.180293, 0.555241, 0.698318, -0.075740, 0.000000, 0.000000, 0.000000], [0.047346, 0.815311, -0.015305, 0.123447, 0.249440, -0.011272, 0.505179, 0.000000, 0.000000, 0.000000], [-0.169328, -0.209299, -0.524148, -0.407031, -0.337459, -0.107064, 0.601478, 0.000000, 0.000000, 0.000000], [-0.187209, -0.231328, 0.216149, 0.627825, -0.293691, 0.473936, 0.399607, 0.000000, 0.000000, 0.000000], [0.802096, -0.297976, 0.237003, -0.169050, 0.209870, 0.119441, 0.353260, 0.000000, 0.000000, 0.000000], [0.470305, 0.313606, -0.404303, 0.063976, -0.537516, 0.362224, -0.304599, 0.000000, 0.000000, 0.000000]]
fourier: [[17.723780, 19.054304, 21.521968, 25.098237, 126.438246], [12.387626, 13.173074, 14.630689, 19.335450, 21.150686], [30.985752, 33.784560, 36.107895, 36.743612, 37.913178], [14.820379, 15.727794, 19.377324, 20.174213, 24.108850], [20.052564, 21.045340, 23.502273, 26.416082, 115.578547], [68.506367, 69.307963, 72.973667, 80.858764, 308.838446], [39.297498, 43.757458, 56.471980, 57.139780, 181.730337]]
### 6
mean: [-0.689222, 1.847349, 3.344857, 3.851607, 3.812601, 0.001044, -2.266383]
std: [0.489338, 2.591280, 4.244703, 4.791281, 4.846158, 1.238886, 2.092820]
pca: [[-0.050388, -0.258573, -0.257575, -0.350806, 0.613436, 0.527150, -0.294960, 0.000000, 0.000000, 0.000000], [0.293728, 0.401913, 0.256604, -0.189462, 0.381999, -0.501477, -0.503037, 0.000000, 0.000000, 0.000000], [0.484388, -0.181580, 0.166396, -0.504986, 0.152181, -0.114872, 0.642918, 0.000000, 0.000000, 0.000000], [0.546301, 0.327781, -0.015478, 0.592682, 0.258181, 0.388249, 0.158771, 0.000000, 0.000000, 0.000000], [0.553178, -0.184222, 0.018309, -0.206084, -0.587196, 0.266502, -0.448807, 0.000000, 0.000000, 0.000000], [-0.137640, -0.311104, 0.892528, 0.156947, 0.097898, 0.218316, -0.076054, 0.000000, 0.000000, 0.000000], [-0.230559, 0.707440, 0.207220, -0.409455, -0.183230, 0.433608, 0.119114, 0.000000, 0.000000, 0.000000]]
fourier: [[8.133457, 9.105518, 10.181745, 11.400031, 62.029946], [41.414109, 43.757242, 55.742683, 60.607421, 166.261444], [67.749083, 70.005817, 90.282069, 94.414460, 301.037125], [73.176456, 79.575429, 101.701497, 109.647779, 346.644657], [76.475494, 79.655719, 102.734590, 107.813820, 343.134074], [16.119136, 19.481814, 21.874155, 25.297674, 29.637318], [33.840092, 35.108814, 40.718303, 42.468109, 203.974510]]
### 8
mean: [7.997266, 6.502815, -1.984194, -2.775031, -2.871674, -2.153400, 3.555938]
std: [9.954329, 8.020056, 2.739085, 2.626561, 3.037279, 2.005489, 4.675137]
pca: [[0.682326, 0.472883, 0.183896, -0.096974, -0.387315, -0.073591, -0.334907, 0.000000, 0.000000, 0.000000], [0.549776, -0.154145, -0.261436, 0.582056, 0.094159, 0.288437, 0.418075, 0.000000, 0.000000, 0.000000], [-0.187455, 0.385188, -0.572989, -0.173185, -0.469029, -0.133880, 0.469330, 0.000000, 0.000000, 0.000000], [-0.179684, 0.322685, 0.719748, 0.237685, -0.087680, -0.049240, 0.528152, 0.000000, 0.000000, 0.000000], [-0.207954, 0.487270, -0.216864, 0.581920, 0.321266, -0.362058, -0.315222, 0.000000, 0.000000, 0.000000], [-0.137138, 0.478125, -0.054376, -0.156767, 0.267237, 0.805022, -0.074708, 0.000000, 0.000000, 0.000000], [0.320469, 0.184638, -0.038640, -0.449571, 0.662433, -0.334506, 0.329984, 0.000000, 0.000000, 0.000000]]
fourier: [[153.493832, 167.421781, 207.422517, 228.269660, 719.753910], [124.761619, 134.794205, 166.808763, 182.117055, 585.253370], [43.687941, 45.410741, 57.084468, 61.254070, 178.577487], [41.476844, 44.464454, 54.219868, 58.638830, 249.752751], [48.733880, 50.797309, 63.118827, 67.823048, 258.450703], [32.358311, 33.378963, 41.607599, 44.132055, 193.806008], [72.278386, 78.782224, 97.334720, 107.152786, 320.034402]]
### 10
mean: [-0.340287, -0.565116, 10.101171, -0.318632, -1.863979, 12.175357, 6.432235]
std: [0.180825, 1.535321, 12.102909, 0.036077, 3.264404, 14.740923, 7.458402]
pca: [[-0.008408, -0.297532, 0.204641, 0.535331, -0.445453, 0.609902, -0.111973, 0.000000, 0.000000, 0.000000], [-0.073774, 0.257379, 0.828467, 0.038086, -0.291963, -0.383456, 0.090686, 0.000000, 0.000000, 0.000000], [0.582014, -0.016642, 0.263829, 0.421017, 0.630144, -0.021558, -0.128746, 0.000000, 0.000000, 0.000000], [-0.001011, 0.117872, -0.376934, 0.520170, -0.290178, -0.561195, -0.417500, 0.000000, 0.000000, 0.000000], [-0.156902, 0.709824, 0.046092, -0.091479, 0.106706, 0.386242, -0.548151, 0.000000, 0.000000, 0.000000], [0.708874, -0.091480, 0.003483, -0.460566, -0.416458, 0.004990, -0.321768, 0.000000, 0.000000, 0.000000], [0.358643, 0.564660, -0.240713, 0.208923, -0.224101, 0.127938, 0.619962, 0.000000, 0.000000, 0.000000]]
fourier: [[2.870308, 3.059757, 3.167343, 4.274771, 30.625835], [23.405245, 25.982700, 31.653675, 35.626263, 50.860435], [187.338214, 204.507971, 248.342417, 276.971079, 909.105501], [0.550611, 0.596693, 0.604292, 0.766712, 28.676912], [50.287795, 54.966446, 67.940545, 74.509648, 167.758129], [228.203516, 249.092456, 302.589405, 337.523108, 1095.782242], [115.442244, 126.235347, 152.097484, 171.161226, 578.901182]]
### 12
mean: [-8.567808]
std: [12.332632]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[189.003747, 208.729171, 255.071886, 283.417875, 771.102806]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.210563,
0.302298,
-0.227929,
0.80593,
0.094334,
-0.133333,
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],
[
-0.249073,
0.098113,
-0.157149,
-0.23611,
0.019471,
-0.513141,
0.002369
]
],
"network.6.bias": [
-0.277233,
0.068184,
0.13535,
0.175035,
0.09305,
0.399368,
-0.297541
],
"network.8.weight": [
[
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-0.142564,
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[
0.290955,
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0.015106,
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[
-0.034171,
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[
0.098922,
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],
"network.8.bias": [
-0.011812,
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-0.317696,
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"network.10.weight": [
[
0.094068,
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[
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0.441758,
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],
"network.10.bias": [
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"network.12.weight": [
[
0.066133,
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"network.12.bias": [
0.709295
]
}
## Activation Signature
### 0
mean: [0.768405, 0.873071, -0.991411, 1.240819, -1.003618, 0.231309, 1.680291]
std: [1.436440, 1.887814, 1.598818, 1.344509, 1.623423, 1.413790, 2.940257]
pca: [[-0.182349, 0.563343, 0.287430, -0.478176, 0.286090, 0.387207, -0.326110, 0.000000, 0.000000, 0.000000], [-0.440426, -0.057695, -0.184690, 0.239652, 0.813301, -0.166331, 0.148419, 0.000000, 0.000000, 0.000000], [0.292141, -0.222146, 0.596418, 0.341509, 0.236983, -0.195510, -0.546422, 0.000000, 0.000000, 0.000000], [-0.149758, 0.631615, -0.178953, 0.244609, -0.225657, -0.606823, -0.260042, 0.000000, 0.000000, 0.000000], [-0.287649, 0.206424, 0.664028, 0.269747, -0.171593, 0.015929, 0.575545, 0.000000, 0.000000, 0.000000], [-0.300295, 0.025885, -0.189530, 0.608504, -0.203444, 0.607889, -0.303372, 0.000000, 0.000000, 0.000000], [0.701485, 0.433299, -0.136675, 0.307264, 0.280675, 0.214856, 0.286598, 0.000000, 0.000000, 0.000000]]
fourier: [[22.589933, 23.068877, 23.284199, 33.649013, 69.156431], [29.106991, 31.788162, 33.952564, 35.468932, 78.576378], [25.769090, 27.301457, 31.122198, 34.782323, 89.226995], [21.245082, 23.095892, 24.519648, 24.763193, 111.673718], [24.733913, 26.066379, 29.391386, 31.139823, 90.325644], [19.717330, 20.817771, 21.281106, 21.555859, 24.000620], [46.453952, 47.934769, 52.169554, 54.841011, 151.226223]]
### 2
mean: [0.309403, 1.330623, 0.144530, 0.695193, 1.719745, 0.315799, -0.232874]
std: [2.146937, 1.616736, 3.266639, 1.089964, 1.932670, 1.449778, 2.381664]
pca: [[-0.395106, 0.342958, 0.398930, 0.654318, 0.211415, 0.297183, 0.077329, 0.000000, 0.000000, 0.000000], [0.044187, 0.727535, -0.170352, 0.097859, -0.521030, -0.345295, -0.198605, 0.000000, 0.000000, 0.000000], [0.646699, 0.113287, 0.060152, 0.153574, -0.219242, 0.300937, 0.634913, 0.000000, 0.000000, 0.000000], [0.163425, 0.321212, 0.034042, -0.387001, 0.074214, 0.716589, -0.447412, 0.000000, 0.000000, 0.000000], [0.352301, 0.331993, -0.281495, 0.079559, 0.781231, -0.263667, -0.015913, 0.000000, 0.000000, 0.000000], [-0.241161, 0.332462, 0.463993, -0.611687, 0.140763, -0.192436, 0.430132, 0.000000, 0.000000, 0.000000], [0.463397, -0.127717, 0.715912, 0.091901, -0.010947, -0.286075, -0.407452, 0.000000, 0.000000, 0.000000]]
fourier: [[33.264914, 34.379659, 34.688685, 36.129621, 36.401500], [29.446557, 30.663130, 31.822499, 35.572248, 119.756043], [45.750088, 46.490409, 47.343169, 48.153337, 58.696505], [16.176765, 17.705424, 20.257483, 22.410552, 62.567323], [29.151252, 31.388231, 32.214976, 34.638805, 154.777054], [24.899734, 26.214765, 26.250313, 27.202495, 28.421904], [33.184931, 33.971401, 34.357806, 35.429799, 44.055453]]
### 4
mean: [-1.404869, -0.055967, 0.312551, -0.049791, -1.284206, 3.431539, 2.019226]
std: [1.185022, 0.954221, 2.103019, 1.072269, 1.121681, 4.061360, 2.489234]
pca: [[-0.193345, 0.209865, 0.575974, -0.599788, -0.310460, 0.361488, 0.004794, 0.000000, 0.000000, 0.000000], [-0.179198, -0.082272, -0.356282, -0.180293, 0.555241, 0.698318, -0.075740, 0.000000, 0.000000, 0.000000], [0.047346, 0.815311, -0.015305, 0.123447, 0.249440, -0.011272, 0.505179, 0.000000, 0.000000, 0.000000], [-0.169328, -0.209299, -0.524148, -0.407031, -0.337459, -0.107064, 0.601478, 0.000000, 0.000000, 0.000000], [-0.187209, -0.231328, 0.216149, 0.627825, -0.293691, 0.473936, 0.399607, 0.000000, 0.000000, 0.000000], [0.802096, -0.297976, 0.237003, -0.169050, 0.209870, 0.119441, 0.353260, 0.000000, 0.000000, 0.000000], [0.470305, 0.313606, -0.404303, 0.063976, -0.537516, 0.362224, -0.304599, 0.000000, 0.000000, 0.000000]]
fourier: [[17.723780, 19.054304, 21.521968, 25.098237, 126.438246], [12.387626, 13.173074, 14.630689, 19.335450, 21.150686], [30.985752, 33.784560, 36.107895, 36.743612, 37.913178], [14.820379, 15.727794, 19.377324, 20.174213, 24.108850], [20.052564, 21.045340, 23.502273, 26.416082, 115.578547], [68.506367, 69.307963, 72.973667, 80.858764, 308.838446], [39.297498, 43.757458, 56.471980, 57.139780, 181.730337]]
### 6
mean: [-0.689222, 1.847349, 3.344857, 3.851607, 3.812601, 0.001044, -2.266383]
std: [0.489338, 2.591280, 4.244703, 4.791281, 4.846158, 1.238886, 2.092820]
pca: [[-0.050388, -0.258573, -0.257575, -0.350806, 0.613436, 0.527150, -0.294960, 0.000000, 0.000000, 0.000000], [0.293728, 0.401913, 0.256604, -0.189462, 0.381999, -0.501477, -0.503037, 0.000000, 0.000000, 0.000000], [0.484388, -0.181580, 0.166396, -0.504986, 0.152181, -0.114872, 0.642918, 0.000000, 0.000000, 0.000000], [0.546301, 0.327781, -0.015478, 0.592682, 0.258181, 0.388249, 0.158771, 0.000000, 0.000000, 0.000000], [0.553178, -0.184222, 0.018309, -0.206084, -0.587196, 0.266502, -0.448807, 0.000000, 0.000000, 0.000000], [-0.137640, -0.311104, 0.892528, 0.156947, 0.097898, 0.218316, -0.076054, 0.000000, 0.000000, 0.000000], [-0.230559, 0.707440, 0.207220, -0.409455, -0.183230, 0.433608, 0.119114, 0.000000, 0.000000, 0.000000]]
fourier: [[8.133457, 9.105518, 10.181745, 11.400031, 62.029946], [41.414109, 43.757242, 55.742683, 60.607421, 166.261444], [67.749083, 70.005817, 90.282069, 94.414460, 301.037125], [73.176456, 79.575429, 101.701497, 109.647779, 346.644657], [76.475494, 79.655719, 102.734590, 107.813820, 343.134074], [16.119136, 19.481814, 21.874155, 25.297674, 29.637318], [33.840092, 35.108814, 40.718303, 42.468109, 203.974510]]
### 8
mean: [7.997266, 6.502815, -1.984194, -2.775031, -2.871674, -2.153400, 3.555938]
std: [9.954329, 8.020056, 2.739085, 2.626561, 3.037279, 2.005489, 4.675137]
pca: [[0.682326, 0.472883, 0.183896, -0.096974, -0.387315, -0.073591, -0.334907, 0.000000, 0.000000, 0.000000], [0.549776, -0.154145, -0.261436, 0.582056, 0.094159, 0.288437, 0.418075, 0.000000, 0.000000, 0.000000], [-0.187455, 0.385188, -0.572989, -0.173185, -0.469029, -0.133880, 0.469330, 0.000000, 0.000000, 0.000000], [-0.179684, 0.322685, 0.719748, 0.237685, -0.087680, -0.049240, 0.528152, 0.000000, 0.000000, 0.000000], [-0.207954, 0.487270, -0.216864, 0.581920, 0.321266, -0.362058, -0.315222, 0.000000, 0.000000, 0.000000], [-0.137138, 0.478125, -0.054376, -0.156767, 0.267237, 0.805022, -0.074708, 0.000000, 0.000000, 0.000000], [0.320469, 0.184638, -0.038640, -0.449571, 0.662433, -0.334506, 0.329984, 0.000000, 0.000000, 0.000000]]
fourier: [[153.493832, 167.421781, 207.422517, 228.269660, 719.753910], [124.761619, 134.794205, 166.808763, 182.117055, 585.253370], [43.687941, 45.410741, 57.084468, 61.254070, 178.577487], [41.476844, 44.464454, 54.219868, 58.638830, 249.752751], [48.733880, 50.797309, 63.118827, 67.823048, 258.450703], [32.358311, 33.378963, 41.607599, 44.132055, 193.806008], [72.278386, 78.782224, 97.334720, 107.152786, 320.034402]]
### 10
mean: [-0.340287, -0.565116, 10.101171, -0.318632, -1.863979, 12.175357, 6.432235]
std: [0.180825, 1.535321, 12.102909, 0.036077, 3.264404, 14.740923, 7.458402]
pca: [[-0.008408, -0.297532, 0.204641, 0.535331, -0.445453, 0.609902, -0.111973, 0.000000, 0.000000, 0.000000], [-0.073774, 0.257379, 0.828467, 0.038086, -0.291963, -0.383456, 0.090686, 0.000000, 0.000000, 0.000000], [0.582014, -0.016642, 0.263829, 0.421017, 0.630144, -0.021558, -0.128746, 0.000000, 0.000000, 0.000000], [-0.001011, 0.117872, -0.376934, 0.520170, -0.290178, -0.561195, -0.417500, 0.000000, 0.000000, 0.000000], [-0.156902, 0.709824, 0.046092, -0.091479, 0.106706, 0.386242, -0.548151, 0.000000, 0.000000, 0.000000], [0.708874, -0.091480, 0.003483, -0.460566, -0.416458, 0.004990, -0.321768, 0.000000, 0.000000, 0.000000], [0.358643, 0.564660, -0.240713, 0.208923, -0.224101, 0.127938, 0.619962, 0.000000, 0.000000, 0.000000]]
fourier: [[2.870308, 3.059757, 3.167343, 4.274771, 30.625835], [23.405245, 25.982700, 31.653675, 35.626263, 50.860435], [187.338214, 204.507971, 248.342417, 276.971079, 909.105501], [0.550611, 0.596693, 0.604292, 0.766712, 28.676912], [50.287795, 54.966446, 67.940545, 74.509648, 167.758129], [228.203516, 249.092456, 302.589405, 337.523108, 1095.782242], [115.442244, 126.235347, 152.097484, 171.161226, 578.901182]]
### 12
mean: [-8.567808]
std: [12.332632]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[189.003747, 208.729171, 255.071886, 283.417875, 771.102806]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.7684047222137451, "std": 1.4364399909973145, "pca": [-0.18234923481941223, 0.5633429884910583, 0.287429541349411, -0.4781763553619385, 0.28609031438827515, 0.3872072696685791, -0.326110303401947, 0.0, 0.0, 0.0], "fourier": [22.589932557187876, 23.06887650231214, 23.28419852870296, 33.64901256598714, 69.15643109381199]}, "1": {"mean": 0.8730708360671997, "std": 1.8878140449523926, "pca": [-0.44042614102363586, -0.05769484490156174, -0.1846901923418045, 0.23965224623680115, 0.8133009076118469, -0.16633093357086182, 0.14841876924037933, 0.0, 0.0, 0.0], "fourier": [29.10699143067442, 31.788162447559877, 33.952564125205335, 35.46893224052474, 78.57637770473957]}, "2": {"mean": -0.9914110898971558, "std": 1.5988181829452515, "pca": [0.2921406030654907, -0.2221459001302719, 0.5964178442955017, 0.34150925278663635, 0.23698319494724274, -0.1955101639032364, -0.546422004699707, 0.0, 0.0, 0.0], "fourier": [25.769089571839547, 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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.066622, 0.117793, -0.143603, -0.163715, 0.820065], [-0.805202, 0.048079, 0.159974, 0.32099, 0.493978], [0.362283, 0.370159, -0.566104, -0.180894, -0.418129], [0.182907, -0.326118, 0.052288, 0.366172, 0.491468], [-0.243246, -0.056098, -0.585778, 0.051548, 0.638436], [-0.340896, -0.356696, 0.041253, 0.483041, 0.211128], [1.325496, 0.254056, -0.058101, 0.042634, -0.732574]], "network.0.bias": [0.2763, 0.155736, -0.030625, 0.106858, -0.273011, -0.076904, 0.501286], "network.2.weight": [[-0.088318, -0.541478, 0.489019, -0.143243, 0.154846, 0.183066, 0.611858], [0.592353, -0.352832, 0.307792, 0.606279, 0.412615, 0.143393, 0.237915], [0.541034, 0.127302, -0.025465, 0.646626, 0.381106, 0.700283, -0.763539], [0.290043, 0.072023, 0.313812, 0.531277, -0.002527, 0.080771, -0.094199], [0.642005, 0.274755, -0.505504, 0.231234, 0.177848, 0.510437, -0.106482], [-0.160193, -0.215442, 0.679111, 0.44972, -0.299825, -0.185606, 0.330628], [-0.029146, -0.030654, 0.309229, 0.613972, 0.152108, 0.686515, -0.738874]], "network.2.bias": [-0.230634, -0.297233, -0.366032, -0.290989, 0.442341, -0.474471, -0.036825], "network.4.weight": [[0.011796, -0.354514, 0.220807, -0.374537, -0.326728, 0.139877, -0.191298], [-0.138544, -0.094419, -0.312797, -0.134747, 0.388386, -0.278642, -0.462271], [0.584282, 0.182955, -0.137695, 0.202317, -0.408502, 0.497186, 0.012427], [-0.443364, 0.165326, -0.085355, -0.429884, 0.277691, -0.293254, -0.595229], [-0.494487, -0.470859, -0.066662, 0.35724, -0.242978, 0.157003, 0.071589], [0.686446, 0.531093, 0.768117, 0.121629, 0.376803, 0.234098, 0.967618], [0.473086, 0.620221, 0.439473, 0.431642, -0.184637, 0.496833, 0.145019]], "network.4.bias": [-0.273581, 0.487669, -0.049297, 0.665691, -0.110553, -0.44775, -0.210561], "network.6.weight": [[-0.12081, -0.206554, -0.145665, 0.177722, 0.073435, -0.026636, -0.091124], [-0.36374, -0.372171, 0.285154, -0.510447, 0.160144, 0.227749, 0.512272], [0.252246, -0.629614, 0.269144, -0.42277, 0.324255, 0.562212, 0.674874], [-0.105686, -0.336374, 0.676678, -0.778233, 0.16659, 0.670526, 0.567566], [0.072349, -0.476091, 0.396995, -0.640633, -0.203615, 0.690677, 0.66833], [0.210563, 0.302298, -0.227929, 0.80593, 0.094334, -0.133333, -0.077578], [-0.249073, 0.098113, -0.157149, -0.23611, 0.019471, -0.513141, 0.002369]], "network.6.bias": [-0.277233, 0.068184, 0.13535, 0.175035, 0.09305, 0.399368, -0.297541], "network.8.weight": [[-0.167396, 0.655257, 0.491727, 0.704135, 0.609258, -0.647219, -0.088344], [-0.119057, 0.134626, 0.336945, 0.736063, 0.618653, -0.103645, 0.099289], [-0.393794, 0.174309, -0.32364, -0.079244, -0.295619, 0.214815, -0.069864], [-0.142564, -0.040248, -0.143433, -0.269926, -0.184386, -0.375199, 0.144276], [0.290955, -0.006285, -0.323486, 0.015106, -0.377547, 0.028682, -0.181548], [-0.034171, 0.213226, -0.227225, -0.128271, -0.223288, -0.097307, -0.051444], [0.098922, 0.406384, 0.205001, 0.250674, 0.34335, -0.238247, -0.020074]], "network.8.bias": [-0.011812, -0.361946, 0.195622, -0.155151, -0.277574, -0.317696, -0.256433], "network.10.weight": [[0.094068, 0.12527, -0.050415, 0.277823, 0.323851, -0.145546, -0.461299], [-0.317262, 0.220686, 0.163329, 0.27757, -0.269531, -0.000611, -0.036758], [0.627514, 0.764271, 0.263183, -0.417284, -0.240679, 0.110105, -0.001807], [0.212075, -0.149677, 0.220863, 0.095863, 0.171277, -0.283133, -0.193852], [-0.274346, -0.243993, 0.395888, 0.035807, 0.327332, -0.196569, 0.30625], [0.660026, 0.78857, 0.044002, -0.162946, 0.093847, -0.020871, 0.462969], [0.441758, 0.241329, 0.548622, -0.188999, 0.365562, 0.098459, 0.291915]], "network.10.bias": [-0.218417, 0.696536, -0.187686, -0.381471, 0.817273, -0.246083, 0.012148], "network.12.weight": [[0.066133, 0.949847, -0.643395, 0.141318, 0.736369, -0.332275, 0.110025]], "network.12.bias": [0.709295]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6970196068286896, "train_acc": 0.45, "val_loss": 0.6890863180160522, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6557450294494629, "train_acc": 0.565, "val_loss": 0.7041110992431641, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6312257349491119, "train_acc": 0.565, "val_loss": 0.5934420228004456, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5762994289398193, "train_acc": 0.495, "val_loss": 0.47642382979393005, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4640330523252487, "train_acc": 0.88, "val_loss": 0.4145892262458801, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.42323216795921326, "train_acc": 0.87, "val_loss": 0.36580511927604675, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.39055047929286957, "train_acc": 0.875, "val_loss": 0.35638487339019775, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3394763320684433, "train_acc": 0.9, "val_loss": 0.33508482575416565, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3054533898830414, "train_acc": 0.9, "val_loss": 0.3157375454902649, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.26902924478054047, "train_acc": 0.915, "val_loss": 0.5514999628067017, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.26665516942739487, "train_acc": 0.91, "val_loss": 0.2546721398830414, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.23430773615837097, "train_acc": 0.91, "val_loss": 0.24970115721225739, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.27253350615501404, "train_acc": 0.915, "val_loss": 0.2123597115278244, "val_acc": 0.94}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6890863180160522, "final_val_loss": 0.5934420228004456, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.47642382979393005, "final_val_loss": 0.2123597115278244, "initial_val_acc": 0.82, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 12}, "improvement": 0.41999999999999993, "first_improvement_epoch": 2}}
|
135
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.52, "improved_accuracy": 0.96, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3836, "learning_rate": 0.020935064567670837, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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],
"network.0.bias": [
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"network.2.weight": [
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[
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[
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"network.2.bias": [
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"network.4.weight": [
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}
## Activation Signature
### 0
mean: [0.504639, 1.936495, 0.599210, 0.583686, 0.484989, 1.629126]
std: [1.000424, 1.591085, 1.565647, 1.934520, 1.425504, 0.988057]
pca: [[-0.191994, -0.420889, 0.197499, 0.579855, -0.342994, -0.541395, 0.000000, 0.000000, 0.000000, 0.000000], [0.493073, 0.080572, 0.572056, -0.470042, -0.234573, -0.383634, 0.000000, 0.000000, 0.000000, 0.000000], [-0.263448, 0.714768, 0.377184, 0.300709, -0.366465, 0.229590, 0.000000, 0.000000, 0.000000, 0.000000], [0.729954, -0.156375, 0.004204, 0.454518, -0.166466, 0.456507, 0.000000, 0.000000, 0.000000, 0.000000], [-0.341557, -0.526919, 0.374850, -0.289462, -0.293456, 0.543395, 0.000000, 0.000000, 0.000000, 0.000000], [-0.033447, -0.058056, 0.592409, 0.249053, 0.761056, 0.057691, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.666130, 16.545299, 18.486395, 19.998784, 45.417519], [28.244068, 28.774141, 31.092992, 32.873742, 174.284544], [22.850004, 23.194236, 23.938903, 24.500209, 53.928889], [30.215581, 30.526955, 31.275849, 31.437814, 52.531760], [21.741008, 21.977702, 24.154392, 29.683030, 43.649006], [15.859196, 16.052674, 17.431296, 17.764975, 146.621340]]
### 2
mean: [0.643967, 1.945266, 0.509302, 1.156118, 0.366458, 1.751429]
std: [0.792690, 1.730636, 0.965985, 1.010578, 0.797748, 2.033770]
pca: [[-0.179888, -0.191679, 0.677475, 0.525445, -0.102382, 0.430527, 0.000000, 0.000000, 0.000000, 0.000000], [0.595012, 0.295298, 0.289031, 0.086781, 0.683640, -0.018069, 0.000000, 0.000000, 0.000000, 0.000000], [-0.269298, 0.204626, 0.651670, -0.545295, -0.070822, -0.398208, 0.000000, 0.000000, 0.000000, 0.000000], [0.236547, 0.567712, 0.003142, -0.295651, -0.398709, 0.612667, 0.000000, 0.000000, 0.000000, 0.000000], [-0.006597, 0.586389, -0.029638, 0.574226, -0.320387, -0.472063, 0.000000, 0.000000, 0.000000, 0.000000], [0.696478, -0.409924, 0.178681, -0.043416, -0.505492, -0.239889, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.140047, 12.848869, 14.253403, 16.146034, 57.957033], [28.787300, 34.515260, 35.650921, 36.428049, 175.073900], [15.406368, 15.545973, 17.098068, 19.917131, 45.837198], [16.704819, 18.069508, 19.489436, 20.058521, 104.050647], [11.913819, 12.392021, 12.959269, 16.491137, 32.981232], [32.346781, 32.848819, 39.400458, 41.221267, 157.628576]]
### 4
mean: [0.871778, -0.895802, 1.742976, 3.020695, 2.508071, -1.181108]
std: [1.299917, 0.641277, 1.691839, 3.060213, 2.320419, 0.919467]
pca: [[0.286242, -0.383416, -0.001902, 0.834287, 0.155290, -0.225621, 0.000000, 0.000000, 0.000000, 0.000000], [-0.127347, 0.821086, 0.244595, 0.455206, 0.089507, 0.185876, 0.000000, 0.000000, 0.000000, 0.000000], [0.374308, -0.200540, 0.270082, 0.055831, -0.316002, 0.802346, 0.000000, 0.000000, 0.000000, 0.000000], [0.677932, 0.299031, 0.106164, -0.130258, -0.467190, -0.452200, 0.000000, 0.000000, 0.000000, 0.000000], [0.514241, 0.092385, 0.073339, -0.258271, 0.803911, 0.093091, 0.000000, 0.000000, 0.000000, 0.000000], [-0.194181, -0.201593, 0.922267, -0.099823, 0.058973, -0.240075, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.352726, 24.582098, 26.424349, 26.888597, 78.460033], [10.759308, 12.160820, 12.422823, 12.927599, 80.622223], [27.660942, 32.649853, 34.933181, 35.912010, 156.867871], [50.878756, 60.492381, 63.569984, 64.043376, 271.862565], [38.025403, 45.794526, 48.280391, 49.028164, 225.726370], [14.658041, 16.588084, 18.559616, 19.488076, 106.299705]]
### 6
mean: [5.850828, -0.318602, -1.636112, -0.832398, -0.735700, 0.441277]
std: [5.385319, 0.628154, 1.613151, 0.592674, 0.191574, 0.115155]
pca: [[0.946218, 0.276244, -0.075063, 0.022907, -0.032713, -0.145369, 0.000000, 0.000000, 0.000000, 0.000000], [-0.109894, 0.691804, 0.083609, 0.365587, 0.033191, 0.606288, 0.000000, 0.000000, 0.000000, 0.000000], [-0.283305, 0.564668, -0.448090, -0.199950, -0.339690, -0.494707, 0.000000, 0.000000, 0.000000, 0.000000], [-0.104015, 0.299364, 0.430975, 0.038061, 0.693688, -0.480801, 0.000000, 0.000000, 0.000000, 0.000000], [-0.033470, -0.189138, -0.352742, 0.872687, 0.059964, -0.271112, 0.000000, 0.000000, 0.000000, 0.000000], [-0.019864, 0.029239, 0.690235, 0.250621, -0.630587, -0.248749, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[83.513829, 104.307404, 114.027052, 116.398403, 526.574560], [9.665048, 12.255844, 13.472842, 13.559256, 28.674193], [24.946490, 31.312597, 34.252176, 34.943713, 147.250094], [9.085737, 11.592927, 12.676731, 12.764403, 74.915806], [3.037280, 3.550039, 3.999769, 4.160747, 66.212979], [1.716271, 2.284940, 2.366200, 2.505237, 39.714887]]
### 8
mean: [-2.467459]
std: [2.928473]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.530076, 56.603549, 61.898692, 63.213440, 222.071335]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.0.bias": [
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"network.2.weight": [
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[
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"network.2.bias": [
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"network.4.weight": [
[
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],
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0.185631,
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[
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],
[
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[
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[
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"network.4.bias": [
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"network.6.weight": [
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"network.8.bias": [
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}
## Activation Signature
### 0
mean: [0.504639, 1.936495, 0.599210, 0.583686, 0.484989, 1.629126]
std: [1.000424, 1.591085, 1.565647, 1.934520, 1.425504, 0.988057]
pca: [[-0.191994, -0.420889, 0.197499, 0.579855, -0.342994, -0.541395, 0.000000, 0.000000, 0.000000, 0.000000], [0.493073, 0.080572, 0.572056, -0.470042, -0.234573, -0.383634, 0.000000, 0.000000, 0.000000, 0.000000], [-0.263448, 0.714768, 0.377184, 0.300709, -0.366465, 0.229590, 0.000000, 0.000000, 0.000000, 0.000000], [0.729954, -0.156375, 0.004204, 0.454518, -0.166466, 0.456507, 0.000000, 0.000000, 0.000000, 0.000000], [-0.341557, -0.526919, 0.374850, -0.289462, -0.293456, 0.543395, 0.000000, 0.000000, 0.000000, 0.000000], [-0.033447, -0.058056, 0.592409, 0.249053, 0.761056, 0.057691, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.666130, 16.545299, 18.486395, 19.998784, 45.417519], [28.244068, 28.774141, 31.092992, 32.873742, 174.284544], [22.850004, 23.194236, 23.938903, 24.500209, 53.928889], [30.215581, 30.526955, 31.275849, 31.437814, 52.531760], [21.741008, 21.977702, 24.154392, 29.683030, 43.649006], [15.859196, 16.052674, 17.431296, 17.764975, 146.621340]]
### 2
mean: [0.643967, 1.945266, 0.509302, 1.156118, 0.366458, 1.751429]
std: [0.792690, 1.730636, 0.965985, 1.010578, 0.797748, 2.033770]
pca: [[-0.179888, -0.191679, 0.677475, 0.525445, -0.102382, 0.430527, 0.000000, 0.000000, 0.000000, 0.000000], [0.595012, 0.295298, 0.289031, 0.086781, 0.683640, -0.018069, 0.000000, 0.000000, 0.000000, 0.000000], [-0.269298, 0.204626, 0.651670, -0.545295, -0.070822, -0.398208, 0.000000, 0.000000, 0.000000, 0.000000], [0.236547, 0.567712, 0.003142, -0.295651, -0.398709, 0.612667, 0.000000, 0.000000, 0.000000, 0.000000], [-0.006597, 0.586389, -0.029638, 0.574226, -0.320387, -0.472063, 0.000000, 0.000000, 0.000000, 0.000000], [0.696478, -0.409924, 0.178681, -0.043416, -0.505492, -0.239889, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.140047, 12.848869, 14.253403, 16.146034, 57.957033], [28.787300, 34.515260, 35.650921, 36.428049, 175.073900], [15.406368, 15.545973, 17.098068, 19.917131, 45.837198], [16.704819, 18.069508, 19.489436, 20.058521, 104.050647], [11.913819, 12.392021, 12.959269, 16.491137, 32.981232], [32.346781, 32.848819, 39.400458, 41.221267, 157.628576]]
### 4
mean: [0.871778, -0.895802, 1.742976, 3.020695, 2.508071, -1.181108]
std: [1.299917, 0.641277, 1.691839, 3.060213, 2.320419, 0.919467]
pca: [[0.286242, -0.383416, -0.001902, 0.834287, 0.155290, -0.225621, 0.000000, 0.000000, 0.000000, 0.000000], [-0.127347, 0.821086, 0.244595, 0.455206, 0.089507, 0.185876, 0.000000, 0.000000, 0.000000, 0.000000], [0.374308, -0.200540, 0.270082, 0.055831, -0.316002, 0.802346, 0.000000, 0.000000, 0.000000, 0.000000], [0.677932, 0.299031, 0.106164, -0.130258, -0.467190, -0.452200, 0.000000, 0.000000, 0.000000, 0.000000], [0.514241, 0.092385, 0.073339, -0.258271, 0.803911, 0.093091, 0.000000, 0.000000, 0.000000, 0.000000], [-0.194181, -0.201593, 0.922267, -0.099823, 0.058973, -0.240075, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.352726, 24.582098, 26.424349, 26.888597, 78.460033], [10.759308, 12.160820, 12.422823, 12.927599, 80.622223], [27.660942, 32.649853, 34.933181, 35.912010, 156.867871], [50.878756, 60.492381, 63.569984, 64.043376, 271.862565], [38.025403, 45.794526, 48.280391, 49.028164, 225.726370], [14.658041, 16.588084, 18.559616, 19.488076, 106.299705]]
### 6
mean: [5.850828, -0.318602, -1.636112, -0.832398, -0.735700, 0.441277]
std: [5.385319, 0.628154, 1.613151, 0.592674, 0.191574, 0.115155]
pca: [[0.946218, 0.276244, -0.075063, 0.022907, -0.032713, -0.145369, 0.000000, 0.000000, 0.000000, 0.000000], [-0.109894, 0.691804, 0.083609, 0.365587, 0.033191, 0.606288, 0.000000, 0.000000, 0.000000, 0.000000], [-0.283305, 0.564668, -0.448090, -0.199950, -0.339690, -0.494707, 0.000000, 0.000000, 0.000000, 0.000000], [-0.104015, 0.299364, 0.430975, 0.038061, 0.693688, -0.480801, 0.000000, 0.000000, 0.000000, 0.000000], [-0.033470, -0.189138, -0.352742, 0.872687, 0.059964, -0.271112, 0.000000, 0.000000, 0.000000, 0.000000], [-0.019864, 0.029239, 0.690235, 0.250621, -0.630587, -0.248749, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[83.513829, 104.307404, 114.027052, 116.398403, 526.574560], [9.665048, 12.255844, 13.472842, 13.559256, 28.674193], [24.946490, 31.312597, 34.252176, 34.943713, 147.250094], [9.085737, 11.592927, 12.676731, 12.764403, 74.915806], [3.037280, 3.550039, 3.999769, 4.160747, 66.212979], [1.716271, 2.284940, 2.366200, 2.505237, 39.714887]]
### 8
mean: [-2.467459]
std: [2.928473]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.530076, 56.603549, 61.898692, 63.213440, 222.071335]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.5046390891075134, "std": 1.0004239082336426, "pca": [-0.19199401140213013, -0.4208885133266449, 0.19749917089939117, 0.5798546075820923, -0.3429937958717346, -0.5413954854011536, 0.0, 0.0, 0.0, 0.0], "fourier": [14.66612954427676, 16.545298622353165, 18.486395361084693, 19.99878362222068, 45.41751915216446]}, "1": {"mean": 1.9364948272705078, "std": 1.5910848379135132, "pca": [0.49307313561439514, 0.08057212084531784, 0.5720556378364563, -0.47004246711730957, -0.23457340896129608, -0.38363364338874817, 0.0, 0.0, 0.0, 0.0], "fourier": [28.244068402778147, 28.774141275065176, 31.092992321496347, 32.87374198325963, 174.28454421460629]}, "2": {"mean": 0.5992099046707153, "std": 1.5656473636627197, "pca": [-0.26344770193099976, 0.7147682309150696, 0.3771840035915375, 0.30070924758911133, -0.36646464467048645, 0.22958987951278687, 0.0, 0.0, 0.0, 0.0], "fourier": [22.8500041119626, 23.194235737068222, 23.93890295517431, 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[-0.19418103992938995, -0.20159278810024261, 0.9222667217254639, -0.0998225286602974, 0.05897318199276924, -0.24007463455200195, 0.0, 0.0, 0.0, 0.0], "fourier": [14.658040657283822, 16.58808429681242, 18.559615628225828, 19.48807574778742, 106.2997045069933]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "6": {"neuron_profiles": {"0": {"mean": 5.850828170776367, "std": 5.385319232940674, "pca": [0.9462177157402039, 0.2762437164783478, -0.07506299763917923, 0.022906605154275894, -0.03271261230111122, -0.14536908268928528, 0.0, 0.0, 0.0, 0.0], "fourier": [83.51382881069472, 104.30740437073574, 114.027052495238, 116.39840285219779, 526.5745602399111]}, "1": {"mean": -0.31860214471817017, "std": 0.6281539797782898, "pca": [-0.109893798828125, 0.6918035745620728, 0.08360856771469116, 0.365586519241333, 0.0331912487745285, 0.6062884330749512, 0.0, 0.0, 0.0, 0.0], "fourier": [9.665048297899956, 12.255844152006935, 13.472841554738107, 13.559255834937288, 28.674192920327187]}, "2": {"mean": -1.636112093925476, "std": 1.6131513118743896, "pca": [-0.28330475091934204, 0.5646680593490601, -0.4480901062488556, -0.19995014369487762, -0.33968958258628845, -0.49470654129981995, 0.0, 0.0, 0.0, 0.0], "fourier": [24.94648978405559, 31.312597494755806, 34.25217604545726, 34.94371344326358, 147.25009432435036]}, "3": {"mean": -0.8323978781700134, "std": 0.5926739573478699, "pca": [-0.10401450842618942, 0.29936447739601135, 0.43097543716430664, 0.03806113824248314, 0.6936883926391602, -0.48080122470855713, 0.0, 0.0, 0.0, 0.0], "fourier": [9.085736798784854, 11.592927302462414, 12.676730634556018, 12.764403052510351, 74.91580611467361]}, "4": {"mean": -0.7356997728347778, "std": 0.19157364964485168, "pca": [-0.03346977382898331, -0.18913814425468445, -0.35274162888526917, 0.8726868033409119, 0.0599638931453228, -0.2711123526096344, 0.0, 0.0, 0.0, 0.0], "fourier": [3.037280448468169, 3.5500385059373594, 3.999769050622934, 4.160747387599792, 66.21297919750214]}, "5": {"mean": 0.44127652049064636, "std": 0.11515520513057709, "pca": [-0.019863596186041832, 0.029238637536764145, 0.6902347207069397, 0.2506207525730133, -0.6305869817733765, -0.24874864518642426, 0.0, 0.0, 0.0, 0.0], "fourier": [1.7162710939756918, 2.2849397780794156, 2.366199840673288, 2.505236685529194, 39.71488684415817]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -2.467459201812744, "std": 2.9284727573394775, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [45.53007562558624, 56.6035485728009, 61.89869185877358, 63.213439593001375, 222.07133473455906]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.339885, 0.279869, 0.290651, -0.022159, -0.296001], [0.497906, 0.121545, 0.253954, -0.056679, 0.328931], [-0.310372, -0.256455, 0.049931, 0.446537, 0.528959], [0.592547, 0.496561, -0.169231, -0.539692, 0.294394], [-0.352761, 0.03813, 0.56051, 0.170004, -0.5297], [-0.009595, 0.166819, 0.277252, 0.307373, -0.035798]], "network.0.bias": [0.223073, 0.280778, -0.261489, 0.089207, -0.027614, 0.142941], "network.2.weight": [[0.441384, 0.171409, -0.09672, -0.099846, 0.557184, -0.34431], [-0.089999, 0.340159, 0.751945, 0.585722, -0.279289, 0.103822], [0.238728, 0.142341, -0.063193, -0.526061, 0.327376, 0.168332], [-0.214784, 0.142586, 0.595861, -0.016475, -0.269682, 0.240228], [-0.062203, -0.048821, 0.647182, -0.083133, 0.100361, -0.138614], [0.099193, 0.499456, 0.140231, 0.776934, -0.485326, -0.021305]], "network.2.bias": [0.306992, 0.099858, 0.137143, 0.325328, 0.139295, 0.200415], "network.4.weight": [[-0.427123, 0.669878, 0.279935, -0.305828, 0.140203, 0.159211], [-0.159637, -0.130394, -0.189256, -0.239223, 0.185631, -0.20384], [-0.155922, 0.462037, -0.13688, 0.067436, 0.232363, 0.370077], [-0.26962, 0.665895, -0.392459, 0.427181, 0.526622, 0.656417], [-0.114591, 0.575847, -0.325926, 0.268387, 0.394637, 0.470709], [0.21824, -0.038734, -0.282594, -0.461504, -0.153894, -0.251993]], "network.4.bias": [-0.320686, 0.151413, 0.194564, 0.256962, 0.346141, -0.005407], "network.6.weight": [[0.221802, 0.178601, 0.730038, 0.737773, 0.763932, -0.131953], [0.273009, 0.075845, -0.06185, -0.197831, -0.115948, -0.229739], [0.250756, 0.389964, -0.316025, -0.183153, -0.373151, -0.02837], [0.058138, -0.069905, 0.053084, -0.186645, -0.086852, 0.142963], [-0.004679, -0.164989, -0.20404, -0.029867, 0.106001, 0.334452], [-0.068432, 0.1809, 0.167502, -0.158935, 0.071086, -0.100365]], "network.6.bias": [0.10175, 0.434764, 0.199708, -0.182293, -0.54664, 0.523264], "network.8.weight": [[-0.528044, 0.311956, 0.610914, 0.008321, 0.093961, 0.398612]], "network.8.bias": [0.404961]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7020714282989502, "train_acc": 0.43, "val_loss": 0.6895056962966919, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.681690126657486, "train_acc": 0.555, "val_loss": 0.6744348406791687, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6657848358154297, "train_acc": 0.57, "val_loss": 0.6532893180847168, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6620695292949677, "train_acc": 0.515, "val_loss": 0.627275288105011, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.624221682548523, "train_acc": 0.76, "val_loss": 0.5829810500144958, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5708583891391754, "train_acc": 0.785, "val_loss": 0.5183601379394531, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5131921172142029, "train_acc": 0.775, "val_loss": 0.4433472454547882, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4708506762981415, "train_acc": 0.82, "val_loss": 0.3894796371459961, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.42367416620254517, "train_acc": 0.86, "val_loss": 0.3501950800418854, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.410835862159729, "train_acc": 0.845, "val_loss": 0.2983149290084839, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.39013515412807465, "train_acc": 0.84, "val_loss": 0.25991833209991455, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.35235780477523804, "train_acc": 0.865, "val_loss": 0.23413902521133423, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.33917948603630066, "train_acc": 0.85, "val_loss": 0.23135517537593842, "val_acc": 0.94}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6895056962966919, "final_val_loss": 0.6532893180847168, "initial_val_acc": 0.42, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.627275288105011, "final_val_loss": 0.23135517537593842, "initial_val_acc": 0.78, "final_val_acc": 0.94, "best_val_acc": 0.96, "best_epoch": 10}, "improvement": 0.43999999999999995, "first_improvement_epoch": 2}}
|
136
|
{"target_pattern": "alternating", "degraded_accuracy": 0.68, "improved_accuracy": 0.92, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7838, "learning_rate": 0.04048271082201054, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.202224,
0.545434,
0.165612,
0.79097,
0.517384
],
[
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0.13564,
0.825298
],
[
0.034519,
0.325636,
-0.987532,
-0.464836,
0.432069
],
[
0.656324,
-0.616276,
0.476326,
-0.008242,
0.481746
],
[
-0.570712,
0.011885,
-0.735139,
-0.14366,
-0.418859
]
],
"network.0.bias": [
0.534245,
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-0.064713
],
"network.2.weight": [
[
0.271207,
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0.828492,
0.770071,
0.799767
],
[
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-0.378372,
0.157618,
-0.475422
],
[
-0.391641,
-0.157278,
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-0.50453,
0.188155
],
[
0.349093,
0.284004,
0.52878,
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0.046095
],
[
0.763078,
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]
],
"network.2.bias": [
-0.170367,
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-0.596619,
-0.327323,
0.347158
],
"network.4.weight": [
[
0.882384,
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0.391496,
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],
[
0.380593,
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0.601845,
-0.638368,
-0.395683
],
[
-0.461364,
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-0.035444
],
[
-0.854741,
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-0.240403,
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0.630166
],
[
0.575216,
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]
],
"network.4.bias": [
0.338309,
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0.309948,
0.322883,
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],
"network.6.weight": [
[
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0.390808,
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0.971292
],
[
-0.219071,
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1.002244,
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],
[
-0.384955,
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],
[
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],
[
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],
"network.6.bias": [
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],
"network.8.weight": [
[
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]
],
"network.8.bias": [
-0.36689
]
}
## Activation Signature
### 0
mean: [3.956733, 0.949126, -1.822787, 1.693735, -3.113563]
std: [2.519675, 1.800358, 1.961572, 2.194023, 2.432560]
pca: [[-0.373170, 0.824935, 0.302875, 0.040062, 0.294768, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.353864, -0.191167, 0.535201, 0.517197, -0.533201, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.277620, -0.197911, 0.774774, -0.501982, 0.177477, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.500687, -0.487170, 0.012188, 0.178884, 0.692698, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.638565, 0.080209, 0.146300, 0.668518, 0.342755, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.504426, 41.289019, 42.128032, 45.367371, 356.105921], [27.926948, 30.177306, 36.529295, 37.639336, 85.421325], [28.125928, 29.054676, 32.263089, 38.579579, 164.050826], [34.606111, 38.751569, 47.232582, 48.629396, 152.436123], [36.501249, 45.858546, 46.065057, 50.594211, 280.220694]]
### 2
mean: [2.998104, -2.374873, -3.253430, 0.882644, 2.623800]
std: [2.749482, 1.660682, 1.724555, 1.124571, 1.958147]
pca: [[0.710999, -0.497395, 0.016887, 0.365589, 0.336359, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.332671, -0.476079, -0.104582, 0.548818, -0.592064, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.491123, 0.123159, 0.255642, 0.534130, 0.626882, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.243145, 0.261417, 0.852012, 0.162454, -0.346736, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.288942, 0.665162, -0.444410, 0.503445, -0.152037, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.584297, 53.945620, 56.969258, 60.616578, 269.829302], [25.809269, 27.420094, 27.484151, 29.287136, 213.738559], [23.540595, 33.846362, 35.059902, 35.106032, 292.808681], [17.181086, 17.204225, 17.827075, 19.645057, 79.437964], [28.390170, 29.660713, 31.705351, 37.613831, 236.141990]]
### 4
mean: [3.847874, -0.733232, -0.408307, -0.828147, -1.302910]
std: [2.737471, 1.518825, 1.177625, 2.590693, 2.501437]
pca: [[-0.495497, 0.697401, -0.237354, 0.437754, -0.141944, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.287681, -0.359978, -0.254837, 0.359489, 0.770378, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.270209, 0.058462, 0.723032, 0.628744, 0.074000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.616406, -0.095506, -0.595165, 0.454696, -0.223501, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.467710, -0.609515, 0.041535, 0.277620, -0.575275, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.562118, 52.678898, 56.663452, 56.697336, 346.308644], [21.998202, 24.856700, 25.675061, 30.855865, 65.990850], [17.448635, 18.728739, 21.626317, 27.049718, 36.747600], [45.936115, 47.441889, 51.023255, 57.171902, 74.533214], [37.821685, 42.376200, 42.660176, 49.468252, 117.261884]]
### 6
mean: [0.117212, -0.485585, -0.903998, 0.096625, 3.491957]
std: [1.501749, 1.505259, 1.933213, 1.088444, 2.372204]
pca: [[0.170318, 0.640672, 0.499691, -0.483511, 0.277590, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.430146, -0.239905, 0.514211, 0.395207, 0.580360, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.578180, -0.264265, 0.329024, -0.495991, -0.491537, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.097349, 0.483063, 0.302382, 0.602243, -0.550493, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.664980, -0.478329, 0.534980, 0.036397, -0.203653, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.211954, 22.119571, 22.455439, 22.542541, 23.912938], [22.847564, 25.615322, 29.284738, 35.170563, 43.702613], [30.719549, 31.638084, 38.341248, 45.171095, 81.359860], [16.624192, 16.806091, 16.885623, 18.448217, 20.735231], [36.623210, 41.956078, 44.776830, 46.326686, 314.276168]]
### 8
mean: [-1.933181]
std: [2.695912]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.833779, 40.758161, 41.440203, 44.839582, 173.986334]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.202224,
0.545434,
0.165612,
0.79097,
0.517384
],
[
0.323468,
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-0.060828,
0.13564,
0.825298
],
[
0.034519,
0.325636,
-0.987532,
-0.464836,
0.432069
],
[
0.656324,
-0.616276,
0.476326,
-0.008242,
0.481746
],
[
-0.570712,
0.011885,
-0.735139,
-0.14366,
-0.418859
]
],
"network.0.bias": [
0.534245,
0.005805,
0.067648,
0.428497,
-0.064713
],
"network.2.weight": [
[
0.271207,
0.652724,
0.828492,
0.770071,
0.799767
],
[
-0.658258,
0.07003,
-0.378372,
0.157618,
-0.475422
],
[
-0.391641,
-0.157278,
-0.664369,
-0.50453,
0.188155
],
[
0.349093,
0.284004,
0.52878,
-0.266596,
0.046095
],
[
0.763078,
-0.160162,
-0.534031,
-0.298215,
-0.619648
]
],
"network.2.bias": [
-0.170367,
-0.154985,
-0.596619,
-0.327323,
0.347158
],
"network.4.weight": [
[
0.882384,
0.530574,
0.391496,
0.197577,
0.296862
],
[
0.380593,
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0.601845,
-0.638368,
-0.395683
],
[
-0.461364,
-0.533316,
-0.622117,
0.788596,
-0.035444
],
[
-0.854741,
-0.635757,
-0.240403,
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0.630166
],
[
0.575216,
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-0.128008,
-0.686517,
-0.839957
]
],
"network.4.bias": [
0.338309,
-0.276531,
0.309948,
0.322883,
-0.231395
],
"network.6.weight": [
[
0.044477,
0.400462,
0.390808,
0.51703,
0.971292
],
[
-0.219071,
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1.002244,
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],
[
-0.384955,
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0.291713,
0.853389,
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],
[
-0.178842,
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],
[
0.849701,
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]
],
"network.6.bias": [
-0.744363,
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0.327659,
0.148435,
0.812283
],
"network.8.weight": [
[
0.789278,
0.938406,
0.491834,
0.597006,
-0.688522
]
],
"network.8.bias": [
-0.36689
]
}
## Activation Signature
### 0
mean: [3.956733, 0.949126, -1.822787, 1.693735, -3.113563]
std: [2.519675, 1.800358, 1.961572, 2.194023, 2.432560]
pca: [[-0.373170, 0.824935, 0.302875, 0.040062, 0.294768, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.353864, -0.191167, 0.535201, 0.517197, -0.533201, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.277620, -0.197911, 0.774774, -0.501982, 0.177477, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.500687, -0.487170, 0.012188, 0.178884, 0.692698, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.638565, 0.080209, 0.146300, 0.668518, 0.342755, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.504426, 41.289019, 42.128032, 45.367371, 356.105921], [27.926948, 30.177306, 36.529295, 37.639336, 85.421325], [28.125928, 29.054676, 32.263089, 38.579579, 164.050826], [34.606111, 38.751569, 47.232582, 48.629396, 152.436123], [36.501249, 45.858546, 46.065057, 50.594211, 280.220694]]
### 2
mean: [2.998104, -2.374873, -3.253430, 0.882644, 2.623800]
std: [2.749482, 1.660682, 1.724555, 1.124571, 1.958147]
pca: [[0.710999, -0.497395, 0.016887, 0.365589, 0.336359, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.332671, -0.476079, -0.104582, 0.548818, -0.592064, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.491123, 0.123159, 0.255642, 0.534130, 0.626882, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.243145, 0.261417, 0.852012, 0.162454, -0.346736, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.288942, 0.665162, -0.444410, 0.503445, -0.152037, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.584297, 53.945620, 56.969258, 60.616578, 269.829302], [25.809269, 27.420094, 27.484151, 29.287136, 213.738559], [23.540595, 33.846362, 35.059902, 35.106032, 292.808681], [17.181086, 17.204225, 17.827075, 19.645057, 79.437964], [28.390170, 29.660713, 31.705351, 37.613831, 236.141990]]
### 4
mean: [3.847874, -0.733232, -0.408307, -0.828147, -1.302910]
std: [2.737471, 1.518825, 1.177625, 2.590693, 2.501437]
pca: [[-0.495497, 0.697401, -0.237354, 0.437754, -0.141944, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.287681, -0.359978, -0.254837, 0.359489, 0.770378, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.270209, 0.058462, 0.723032, 0.628744, 0.074000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.616406, -0.095506, -0.595165, 0.454696, -0.223501, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.467710, -0.609515, 0.041535, 0.277620, -0.575275, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.562118, 52.678898, 56.663452, 56.697336, 346.308644], [21.998202, 24.856700, 25.675061, 30.855865, 65.990850], [17.448635, 18.728739, 21.626317, 27.049718, 36.747600], [45.936115, 47.441889, 51.023255, 57.171902, 74.533214], [37.821685, 42.376200, 42.660176, 49.468252, 117.261884]]
### 6
mean: [0.117212, -0.485585, -0.903998, 0.096625, 3.491957]
std: [1.501749, 1.505259, 1.933213, 1.088444, 2.372204]
pca: [[0.170318, 0.640672, 0.499691, -0.483511, 0.277590, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.430146, -0.239905, 0.514211, 0.395207, 0.580360, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.578180, -0.264265, 0.329024, -0.495991, -0.491537, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.097349, 0.483063, 0.302382, 0.602243, -0.550493, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.664980, -0.478329, 0.534980, 0.036397, -0.203653, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.211954, 22.119571, 22.455439, 22.542541, 23.912938], [22.847564, 25.615322, 29.284738, 35.170563, 43.702613], [30.719549, 31.638084, 38.341248, 45.171095, 81.359860], [16.624192, 16.806091, 16.885623, 18.448217, 20.735231], [36.623210, 41.956078, 44.776830, 46.326686, 314.276168]]
### 8
mean: [-1.933181]
std: [2.695912]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.833779, 40.758161, 41.440203, 44.839582, 173.986334]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.202224, 0.545434, 0.165612, 0.79097, 0.517384], [0.323468, -0.35171, -0.060828, 0.13564, 0.825298], [0.034519, 0.325636, -0.987532, -0.464836, 0.432069], [0.656324, -0.616276, 0.476326, -0.008242, 0.481746], [-0.570712, 0.011885, -0.735139, -0.14366, -0.418859]], "network.0.bias": [0.534245, 0.005805, 0.067648, 0.428497, -0.064713], "network.2.weight": [[0.271207, 0.652724, 0.828492, 0.770071, 0.799767], [-0.658258, 0.07003, -0.378372, 0.157618, -0.475422], [-0.391641, -0.157278, -0.664369, -0.50453, 0.188155], [0.349093, 0.284004, 0.52878, -0.266596, 0.046095], [0.763078, -0.160162, -0.534031, -0.298215, -0.619648]], "network.2.bias": [-0.170367, -0.154985, -0.596619, -0.327323, 0.347158], "network.4.weight": [[0.882384, 0.530574, 0.391496, 0.197577, 0.296862], [0.380593, -0.584894, 0.601845, -0.638368, -0.395683], [-0.461364, -0.533316, -0.622117, 0.788596, -0.035444], [-0.854741, -0.635757, -0.240403, -0.363069, 0.630166], [0.575216, -0.383199, -0.128008, -0.686517, -0.839957]], "network.4.bias": [0.338309, -0.276531, 0.309948, 0.322883, -0.231395], "network.6.weight": [[0.044477, 0.400462, 0.390808, 0.51703, 0.971292], [-0.219071, -0.157274, -0.062839, 1.002244, -0.51771], [-0.384955, -0.853861, 0.291713, 0.853389, -0.147249], [-0.178842, 0.611354, -0.170024, 0.828095, 0.463703], [0.849701, -0.149893, 0.039619, -0.700379, -0.623208]], "network.6.bias": [-0.744363, 0.094412, 0.327659, 0.148435, 0.812283], "network.8.weight": [[0.789278, 0.938406, 0.491834, 0.597006, -0.688522]], "network.8.bias": [-0.36689]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6881381571292877, "train_acc": 0.65, "val_loss": 0.6833640336990356, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6721067428588867, "train_acc": 0.65, "val_loss": 0.6530404090881348, "val_acc": 0.64}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6326249241828918, "train_acc": 0.675, "val_loss": 0.6057118773460388, "val_acc": 0.68}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6071053743362427, "train_acc": 0.62, "val_loss": 0.5356301665306091, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5504688918590546, "train_acc": 0.785, "val_loss": 0.4774579703807831, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.48847630620002747, "train_acc": 0.795, "val_loss": 0.3999519348144531, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.40461447834968567, "train_acc": 0.84, "val_loss": 0.350442498922348, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3383259028196335, "train_acc": 0.82, "val_loss": 0.28645259141921997, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2796836197376251, "train_acc": 0.88, "val_loss": 0.2595198154449463, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.27760885655879974, "train_acc": 0.88, "val_loss": 0.24188710749149323, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.29683437943458557, "train_acc": 0.895, "val_loss": 0.24517852067947388, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2570038288831711, "train_acc": 0.895, "val_loss": 0.29499348998069763, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.22284749150276184, "train_acc": 0.905, "val_loss": 0.17999130487442017, "val_acc": 0.92}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6833640336990356, "final_val_loss": 0.6057118773460388, "initial_val_acc": 0.6, "final_val_acc": 0.68, "best_val_acc": 0.68}, "improved_stage": {"initial_val_loss": 0.5356301665306091, "final_val_loss": 0.17999130487442017, "initial_val_acc": 0.82, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 9}, "improvement": 0.24, "first_improvement_epoch": 2}}
|
137
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.4, "improved_accuracy": 0.88, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3904, "learning_rate": 0.06401660712430644, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.10.weight": [
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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [2.719494, -2.726604, 2.899013, -1.119591, -3.238047, -2.875407, -4.020782, -0.415576]
std: [3.091743, 1.781801, 3.367299, 2.173083, 1.905596, 1.904193, 2.176942, 2.086514]
pca: [[0.503631, 0.424036, -0.100013, -0.455172, -0.207919, -0.407752, 0.240817, -0.286147, 0.000000, 0.000000], [-0.221869, 0.441399, -0.062414, -0.259825, 0.176052, -0.281970, -0.370168, 0.661068, 0.000000, 0.000000], [0.582716, 0.371951, 0.157283, 0.156911, 0.223020, 0.572147, -0.307113, 0.036419, 0.000000, 0.000000], [-0.192046, 0.525041, 0.089549, 0.720342, 0.002263, -0.323225, 0.057647, -0.229642, 0.000000, 0.000000], [-0.315867, 0.118282, 0.083394, -0.324684, 0.714676, 0.036521, -0.052580, -0.508923, 0.000000, 0.000000], [-0.312074, 0.152213, 0.247384, -0.213425, -0.580726, 0.168427, -0.538621, -0.342007, 0.000000, 0.000000], [-0.338699, 0.400660, 0.066370, -0.163436, -0.158881, 0.498539, 0.626219, 0.166443, 0.000000, 0.000000], [0.093863, -0.116857, 0.938502, -0.064148, 0.052766, -0.210147, 0.149378, 0.152880, 0.000000, 0.000000]]
fourier: [[47.299149, 52.543184, 64.955842, 66.334211, 244.754498], [27.302858, 29.324736, 33.840872, 34.829081, 245.394338], [57.280840, 66.084707, 68.646174, 75.599481, 260.911135], [33.724067, 41.451500, 41.707268, 44.318727, 100.763153], [27.934815, 29.844416, 33.694209, 40.285993, 291.424188], [32.586759, 34.720723, 35.232123, 36.047863, 258.786585], [31.782222, 34.479642, 39.153340, 44.605332, 361.870420], [32.880667, 37.401850, 37.812403, 38.408938, 38.757341]]
### 2
mean: [-2.360251, 3.290404, 3.803638, 2.017793, 1.643792, -1.727686, 2.365145, 1.026444]
std: [3.094303, 3.655538, 4.701604, 2.335497, 1.590735, 1.445943, 3.392536, 1.073897]
pca: [[-0.373225, 0.430804, -0.485938, 0.394879, 0.047612, 0.240516, 0.314219, -0.352417, 0.000000, 0.000000], [0.450180, 0.083491, -0.411938, -0.565316, -0.334909, 0.269880, -0.041506, -0.338187, 0.000000, 0.000000], [0.581156, 0.009605, -0.005065, 0.619505, -0.352921, -0.347387, 0.006132, -0.181892, 0.000000, 0.000000], [0.278260, 0.452398, 0.080661, 0.191375, -0.042176, 0.557627, -0.183085, 0.573175, 0.000000, 0.000000], [0.190491, -0.072860, 0.583098, -0.012224, 0.060665, 0.384343, 0.621502, -0.283879, 0.000000, 0.000000], [-0.176974, -0.127883, -0.171202, -0.092115, -0.578809, -0.125197, 0.560313, 0.499887, 0.000000, 0.000000], [0.418448, -0.063959, -0.382910, -0.051316, 0.648484, -0.176972, 0.388449, 0.262324, 0.000000, 0.000000], [0.012830, 0.759558, 0.267781, -0.304647, 0.002366, -0.492928, 0.121977, -0.023009, 0.000000, 0.000000]]
fourier: [[53.662281, 53.961979, 59.362300, 64.119305, 212.422589], [58.475925, 65.481913, 78.074454, 79.895344, 296.136319], [80.216372, 87.640364, 97.959512, 101.984068, 342.327493], [39.746817, 44.874811, 46.926705, 54.926515, 181.601396], [28.604161, 28.796877, 30.489152, 36.100010, 147.941236], [25.875994, 27.472504, 28.890282, 33.666010, 155.491717], [54.440423, 61.148306, 71.737257, 72.559518, 212.863033], [16.201061, 16.844430, 18.484341, 21.712605, 92.379958]]
### 4
mean: [4.675990, -3.081859, -4.343378, -4.628202, 4.779992, 3.846324, -4.638843, -4.973611]
std: [5.559205, 3.016874, 6.271032, 4.702830, 6.212124, 4.532346, 5.988457, 5.465391]
pca: [[0.371492, 0.075854, -0.160606, 0.127804, -0.296984, 0.118437, 0.263140, 0.801650, 0.000000, 0.000000], [-0.199257, -0.288303, 0.440233, 0.064689, -0.050146, 0.726007, -0.340500, 0.183432, 0.000000, 0.000000], [-0.412287, 0.729338, 0.358219, -0.228337, -0.290504, 0.022857, 0.169298, 0.063645, 0.000000, 0.000000], [-0.312029, -0.362082, 0.349092, 0.345182, 0.098826, -0.137506, 0.708175, 0.018236, 0.000000, 0.000000], [0.415074, 0.047484, 0.454287, -0.490079, 0.581464, -0.035800, 0.130136, 0.150288, 0.000000, 0.000000], [0.302059, 0.199941, 0.487283, 0.605660, -0.042677, -0.360672, -0.364155, -0.000821, 0.000000, 0.000000], [-0.399212, 0.274065, -0.272111, 0.302686, 0.674267, 0.026277, -0.147189, 0.350519, 0.000000, 0.000000], [-0.363388, -0.361590, 0.111127, -0.331018, -0.143418, -0.554436, -0.336801, 0.416985, 0.000000, 0.000000]]
fourier: [[93.825258, 101.220282, 117.176948, 120.002859, 420.839064], [52.334407, 55.701602, 62.403840, 68.384154, 277.367297], [104.286263, 108.653039, 122.406952, 129.257203, 390.904015], [81.120911, 87.183561, 97.825595, 104.855692, 416.538236], [104.416821, 112.759456, 130.644567, 132.877013, 430.199243], [74.730276, 82.486273, 97.474729, 97.519935, 346.169146], [98.791672, 107.763962, 123.590666, 126.559910, 417.495863], [92.708332, 100.464725, 115.233731, 120.429079, 447.625003]]
### 6
mean: [-2.106443, 6.505524, 5.539796, -6.311590, -3.227571, -5.030458, -4.644758, -2.672537]
std: [2.045419, 8.781085, 7.760226, 8.983639, 3.409995, 5.160683, 6.784524, 2.475890]
pca: [[0.111515, 0.298929, 0.329073, 0.112878, 0.626861, -0.214669, 0.575319, -0.084532, 0.000000, 0.000000], [-0.499705, 0.010315, 0.297363, 0.236785, -0.208614, 0.656425, 0.356611, 0.064122, 0.000000, 0.000000], [-0.441588, 0.034947, 0.244021, -0.418713, 0.531408, 0.152068, -0.513179, -0.006228, 0.000000, 0.000000], [0.509112, -0.417840, 0.035278, -0.454005, 0.125584, 0.496107, 0.200607, -0.238144, 0.000000, 0.000000], [0.188027, 0.429845, -0.379920, 0.404344, 0.230317, 0.424221, -0.273972, -0.404941, 0.000000, 0.000000], [0.286712, 0.570268, 0.549419, -0.255599, -0.422466, 0.022472, -0.167243, -0.135816, 0.000000, 0.000000], [0.385030, -0.254086, 0.420299, 0.487649, 0.165028, 0.125328, -0.344197, 0.459703, 0.000000, 0.000000], [0.133634, 0.400240, -0.345896, -0.288312, 0.081247, 0.240002, 0.129375, 0.733650, 0.000000, 0.000000]]
fourier: [[35.368686, 37.667273, 41.427206, 45.293448, 189.579872], [145.503522, 157.835441, 182.676377, 188.564584, 585.497086], [127.673727, 139.235229, 160.313683, 167.529627, 498.581639], [149.568862, 159.332002, 181.302581, 193.480254, 568.043067], [59.591899, 62.498955, 70.144118, 73.745585, 290.481329], [89.442035, 94.710747, 106.287845, 113.695071, 452.741221], [112.204635, 120.669622, 137.569761, 147.189240, 418.028224], [44.058134, 45.399633, 48.846338, 54.256810, 240.528341]]
### 8
mean: [-0.725950, 1.331309, -2.314396, -4.023469, 6.477722, 5.869190, -3.217717, -0.436039]
std: [0.812320, 2.157154, 2.005187, 6.680586, 7.834775, 6.228973, 6.158229, 0.270862]
pca: [[0.004161, -0.329147, 0.741040, -0.072292, 0.124066, 0.149099, 0.496627, 0.230254, 0.000000, 0.000000], [0.157437, 0.082062, -0.118052, 0.569567, -0.389705, -0.198509, 0.599638, -0.281594, 0.000000, 0.000000], [-0.131777, -0.361002, -0.309421, 0.231856, -0.055340, 0.835536, 0.031809, -0.024880, 0.000000, 0.000000], [-0.485957, 0.336261, -0.042188, 0.343765, 0.703812, -0.003959, 0.183942, -0.040233, 0.000000, 0.000000], [0.572994, 0.217648, -0.097552, 0.333183, 0.176151, 0.089730, -0.052549, 0.679660, 0.000000, 0.000000], [0.447133, 0.513345, 0.130586, -0.300830, 0.155901, 0.415214, 0.147036, -0.458988, 0.000000, 0.000000], [-0.439717, 0.566499, 0.098862, -0.128378, -0.508707, 0.221405, 0.098905, 0.376681, 0.000000, 0.000000], [0.008710, -0.098590, -0.550508, -0.529570, 0.142154, -0.103697, 0.569900, 0.225730, 0.000000, 0.000000]]
fourier: [[12.713541, 12.860731, 13.580162, 14.790985, 65.335483], [37.126399, 39.166163, 45.694482, 46.365563, 119.817819], [34.507797, 36.270823, 37.029432, 42.831320, 208.295661], [111.392954, 118.701279, 134.914405, 144.719484, 362.112245], [133.938033, 142.138971, 166.824365, 167.568107, 582.995050], [108.594440, 113.734198, 128.387343, 135.513684, 528.227108], [106.716594, 107.519141, 118.540458, 132.706514, 289.594506], [4.092466, 4.225831, 4.323815, 5.067350, 39.243477]]
### 10
mean: [0.974006, -0.707312, 1.632053, 2.881128, -5.383985, 3.510953, -3.851378, 2.764778]
std: [2.229875, 1.667395, 2.438263, 3.901146, 5.422326, 5.206693, 3.589593, 3.891828]
pca: [[-0.212760, -0.175200, -0.021086, 0.273140, -0.555720, -0.502676, -0.517042, -0.141943, 0.000000, 0.000000], [-0.111745, -0.365860, 0.700307, 0.117892, -0.122080, -0.197520, 0.541069, -0.051548, 0.000000, 0.000000], [0.061803, 0.704035, -0.042838, 0.362924, 0.092818, -0.403220, 0.308738, -0.316930, 0.000000, 0.000000], [-0.384970, -0.076378, -0.278841, 0.252429, -0.322657, 0.558795, 0.261270, -0.468904, 0.000000, 0.000000], [0.519955, -0.396060, -0.423643, -0.259428, -0.079665, -0.295884, 0.281165, -0.391228, 0.000000, 0.000000], [-0.508595, -0.243018, -0.057291, -0.085268, 0.673924, -0.232875, -0.145507, -0.377020, 0.000000, 0.000000], [0.338186, -0.326023, -0.081515, 0.796607, 0.318724, 0.116106, -0.092937, 0.120036, 0.000000, 0.000000], [-0.383188, -0.108349, -0.490038, 0.083099, -0.038003, -0.279653, 0.409228, 0.589294, 0.000000, 0.000000]]
fourier: [[37.436095, 39.453658, 44.456420, 47.929005, 87.660522], [26.115379, 29.432078, 30.140674, 30.368547, 63.658099], [37.582218, 37.617712, 38.593626, 45.126213, 146.884740], [66.009155, 70.661245, 82.981578, 83.333248, 259.301507], [94.521772, 97.644300, 107.516848, 116.677824, 484.558594], [85.634473, 93.431598, 108.015584, 112.175048, 315.985784], [62.408281, 64.646416, 68.978038, 76.739002, 346.623993], [65.406516, 70.523753, 82.401944, 83.146709, 248.829999]]
### 12
mean: [-2.014215]
std: [4.480497]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[77.778990, 78.143639, 85.934776, 96.624444, 181.279319]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.396428,
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[
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0.380223,
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"network.2.bias": [
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],
"network.4.bias": [
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"network.6.weight": [
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],
"network.6.bias": [
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"network.8.weight": [
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[
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0.411707,
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[
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"network.8.bias": [
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"network.10.weight": [
[
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0.059681
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"network.12.weight": [
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [2.719494, -2.726604, 2.899013, -1.119591, -3.238047, -2.875407, -4.020782, -0.415576]
std: [3.091743, 1.781801, 3.367299, 2.173083, 1.905596, 1.904193, 2.176942, 2.086514]
pca: [[0.503631, 0.424036, -0.100013, -0.455172, -0.207919, -0.407752, 0.240817, -0.286147, 0.000000, 0.000000], [-0.221869, 0.441399, -0.062414, -0.259825, 0.176052, -0.281970, -0.370168, 0.661068, 0.000000, 0.000000], [0.582716, 0.371951, 0.157283, 0.156911, 0.223020, 0.572147, -0.307113, 0.036419, 0.000000, 0.000000], [-0.192046, 0.525041, 0.089549, 0.720342, 0.002263, -0.323225, 0.057647, -0.229642, 0.000000, 0.000000], [-0.315867, 0.118282, 0.083394, -0.324684, 0.714676, 0.036521, -0.052580, -0.508923, 0.000000, 0.000000], [-0.312074, 0.152213, 0.247384, -0.213425, -0.580726, 0.168427, -0.538621, -0.342007, 0.000000, 0.000000], [-0.338699, 0.400660, 0.066370, -0.163436, -0.158881, 0.498539, 0.626219, 0.166443, 0.000000, 0.000000], [0.093863, -0.116857, 0.938502, -0.064148, 0.052766, -0.210147, 0.149378, 0.152880, 0.000000, 0.000000]]
fourier: [[47.299149, 52.543184, 64.955842, 66.334211, 244.754498], [27.302858, 29.324736, 33.840872, 34.829081, 245.394338], [57.280840, 66.084707, 68.646174, 75.599481, 260.911135], [33.724067, 41.451500, 41.707268, 44.318727, 100.763153], [27.934815, 29.844416, 33.694209, 40.285993, 291.424188], [32.586759, 34.720723, 35.232123, 36.047863, 258.786585], [31.782222, 34.479642, 39.153340, 44.605332, 361.870420], [32.880667, 37.401850, 37.812403, 38.408938, 38.757341]]
### 2
mean: [-2.360251, 3.290404, 3.803638, 2.017793, 1.643792, -1.727686, 2.365145, 1.026444]
std: [3.094303, 3.655538, 4.701604, 2.335497, 1.590735, 1.445943, 3.392536, 1.073897]
pca: [[-0.373225, 0.430804, -0.485938, 0.394879, 0.047612, 0.240516, 0.314219, -0.352417, 0.000000, 0.000000], [0.450180, 0.083491, -0.411938, -0.565316, -0.334909, 0.269880, -0.041506, -0.338187, 0.000000, 0.000000], [0.581156, 0.009605, -0.005065, 0.619505, -0.352921, -0.347387, 0.006132, -0.181892, 0.000000, 0.000000], [0.278260, 0.452398, 0.080661, 0.191375, -0.042176, 0.557627, -0.183085, 0.573175, 0.000000, 0.000000], [0.190491, -0.072860, 0.583098, -0.012224, 0.060665, 0.384343, 0.621502, -0.283879, 0.000000, 0.000000], [-0.176974, -0.127883, -0.171202, -0.092115, -0.578809, -0.125197, 0.560313, 0.499887, 0.000000, 0.000000], [0.418448, -0.063959, -0.382910, -0.051316, 0.648484, -0.176972, 0.388449, 0.262324, 0.000000, 0.000000], [0.012830, 0.759558, 0.267781, -0.304647, 0.002366, -0.492928, 0.121977, -0.023009, 0.000000, 0.000000]]
fourier: [[53.662281, 53.961979, 59.362300, 64.119305, 212.422589], [58.475925, 65.481913, 78.074454, 79.895344, 296.136319], [80.216372, 87.640364, 97.959512, 101.984068, 342.327493], [39.746817, 44.874811, 46.926705, 54.926515, 181.601396], [28.604161, 28.796877, 30.489152, 36.100010, 147.941236], [25.875994, 27.472504, 28.890282, 33.666010, 155.491717], [54.440423, 61.148306, 71.737257, 72.559518, 212.863033], [16.201061, 16.844430, 18.484341, 21.712605, 92.379958]]
### 4
mean: [4.675990, -3.081859, -4.343378, -4.628202, 4.779992, 3.846324, -4.638843, -4.973611]
std: [5.559205, 3.016874, 6.271032, 4.702830, 6.212124, 4.532346, 5.988457, 5.465391]
pca: [[0.371492, 0.075854, -0.160606, 0.127804, -0.296984, 0.118437, 0.263140, 0.801650, 0.000000, 0.000000], [-0.199257, -0.288303, 0.440233, 0.064689, -0.050146, 0.726007, -0.340500, 0.183432, 0.000000, 0.000000], [-0.412287, 0.729338, 0.358219, -0.228337, -0.290504, 0.022857, 0.169298, 0.063645, 0.000000, 0.000000], [-0.312029, -0.362082, 0.349092, 0.345182, 0.098826, -0.137506, 0.708175, 0.018236, 0.000000, 0.000000], [0.415074, 0.047484, 0.454287, -0.490079, 0.581464, -0.035800, 0.130136, 0.150288, 0.000000, 0.000000], [0.302059, 0.199941, 0.487283, 0.605660, -0.042677, -0.360672, -0.364155, -0.000821, 0.000000, 0.000000], [-0.399212, 0.274065, -0.272111, 0.302686, 0.674267, 0.026277, -0.147189, 0.350519, 0.000000, 0.000000], [-0.363388, -0.361590, 0.111127, -0.331018, -0.143418, -0.554436, -0.336801, 0.416985, 0.000000, 0.000000]]
fourier: [[93.825258, 101.220282, 117.176948, 120.002859, 420.839064], [52.334407, 55.701602, 62.403840, 68.384154, 277.367297], [104.286263, 108.653039, 122.406952, 129.257203, 390.904015], [81.120911, 87.183561, 97.825595, 104.855692, 416.538236], [104.416821, 112.759456, 130.644567, 132.877013, 430.199243], [74.730276, 82.486273, 97.474729, 97.519935, 346.169146], [98.791672, 107.763962, 123.590666, 126.559910, 417.495863], [92.708332, 100.464725, 115.233731, 120.429079, 447.625003]]
### 6
mean: [-2.106443, 6.505524, 5.539796, -6.311590, -3.227571, -5.030458, -4.644758, -2.672537]
std: [2.045419, 8.781085, 7.760226, 8.983639, 3.409995, 5.160683, 6.784524, 2.475890]
pca: [[0.111515, 0.298929, 0.329073, 0.112878, 0.626861, -0.214669, 0.575319, -0.084532, 0.000000, 0.000000], [-0.499705, 0.010315, 0.297363, 0.236785, -0.208614, 0.656425, 0.356611, 0.064122, 0.000000, 0.000000], [-0.441588, 0.034947, 0.244021, -0.418713, 0.531408, 0.152068, -0.513179, -0.006228, 0.000000, 0.000000], [0.509112, -0.417840, 0.035278, -0.454005, 0.125584, 0.496107, 0.200607, -0.238144, 0.000000, 0.000000], [0.188027, 0.429845, -0.379920, 0.404344, 0.230317, 0.424221, -0.273972, -0.404941, 0.000000, 0.000000], [0.286712, 0.570268, 0.549419, -0.255599, -0.422466, 0.022472, -0.167243, -0.135816, 0.000000, 0.000000], [0.385030, -0.254086, 0.420299, 0.487649, 0.165028, 0.125328, -0.344197, 0.459703, 0.000000, 0.000000], [0.133634, 0.400240, -0.345896, -0.288312, 0.081247, 0.240002, 0.129375, 0.733650, 0.000000, 0.000000]]
fourier: [[35.368686, 37.667273, 41.427206, 45.293448, 189.579872], [145.503522, 157.835441, 182.676377, 188.564584, 585.497086], [127.673727, 139.235229, 160.313683, 167.529627, 498.581639], [149.568862, 159.332002, 181.302581, 193.480254, 568.043067], [59.591899, 62.498955, 70.144118, 73.745585, 290.481329], [89.442035, 94.710747, 106.287845, 113.695071, 452.741221], [112.204635, 120.669622, 137.569761, 147.189240, 418.028224], [44.058134, 45.399633, 48.846338, 54.256810, 240.528341]]
### 8
mean: [-0.725950, 1.331309, -2.314396, -4.023469, 6.477722, 5.869190, -3.217717, -0.436039]
std: [0.812320, 2.157154, 2.005187, 6.680586, 7.834775, 6.228973, 6.158229, 0.270862]
pca: [[0.004161, -0.329147, 0.741040, -0.072292, 0.124066, 0.149099, 0.496627, 0.230254, 0.000000, 0.000000], [0.157437, 0.082062, -0.118052, 0.569567, -0.389705, -0.198509, 0.599638, -0.281594, 0.000000, 0.000000], [-0.131777, -0.361002, -0.309421, 0.231856, -0.055340, 0.835536, 0.031809, -0.024880, 0.000000, 0.000000], [-0.485957, 0.336261, -0.042188, 0.343765, 0.703812, -0.003959, 0.183942, -0.040233, 0.000000, 0.000000], [0.572994, 0.217648, -0.097552, 0.333183, 0.176151, 0.089730, -0.052549, 0.679660, 0.000000, 0.000000], [0.447133, 0.513345, 0.130586, -0.300830, 0.155901, 0.415214, 0.147036, -0.458988, 0.000000, 0.000000], [-0.439717, 0.566499, 0.098862, -0.128378, -0.508707, 0.221405, 0.098905, 0.376681, 0.000000, 0.000000], [0.008710, -0.098590, -0.550508, -0.529570, 0.142154, -0.103697, 0.569900, 0.225730, 0.000000, 0.000000]]
fourier: [[12.713541, 12.860731, 13.580162, 14.790985, 65.335483], [37.126399, 39.166163, 45.694482, 46.365563, 119.817819], [34.507797, 36.270823, 37.029432, 42.831320, 208.295661], [111.392954, 118.701279, 134.914405, 144.719484, 362.112245], [133.938033, 142.138971, 166.824365, 167.568107, 582.995050], [108.594440, 113.734198, 128.387343, 135.513684, 528.227108], [106.716594, 107.519141, 118.540458, 132.706514, 289.594506], [4.092466, 4.225831, 4.323815, 5.067350, 39.243477]]
### 10
mean: [0.974006, -0.707312, 1.632053, 2.881128, -5.383985, 3.510953, -3.851378, 2.764778]
std: [2.229875, 1.667395, 2.438263, 3.901146, 5.422326, 5.206693, 3.589593, 3.891828]
pca: [[-0.212760, -0.175200, -0.021086, 0.273140, -0.555720, -0.502676, -0.517042, -0.141943, 0.000000, 0.000000], [-0.111745, -0.365860, 0.700307, 0.117892, -0.122080, -0.197520, 0.541069, -0.051548, 0.000000, 0.000000], [0.061803, 0.704035, -0.042838, 0.362924, 0.092818, -0.403220, 0.308738, -0.316930, 0.000000, 0.000000], [-0.384970, -0.076378, -0.278841, 0.252429, -0.322657, 0.558795, 0.261270, -0.468904, 0.000000, 0.000000], [0.519955, -0.396060, -0.423643, -0.259428, -0.079665, -0.295884, 0.281165, -0.391228, 0.000000, 0.000000], [-0.508595, -0.243018, -0.057291, -0.085268, 0.673924, -0.232875, -0.145507, -0.377020, 0.000000, 0.000000], [0.338186, -0.326023, -0.081515, 0.796607, 0.318724, 0.116106, -0.092937, 0.120036, 0.000000, 0.000000], [-0.383188, -0.108349, -0.490038, 0.083099, -0.038003, -0.279653, 0.409228, 0.589294, 0.000000, 0.000000]]
fourier: [[37.436095, 39.453658, 44.456420, 47.929005, 87.660522], [26.115379, 29.432078, 30.140674, 30.368547, 63.658099], [37.582218, 37.617712, 38.593626, 45.126213, 146.884740], [66.009155, 70.661245, 82.981578, 83.333248, 259.301507], [94.521772, 97.644300, 107.516848, 116.677824, 484.558594], [85.634473, 93.431598, 108.015584, 112.175048, 315.985784], [62.408281, 64.646416, 68.978038, 76.739002, 346.623993], [65.406516, 70.523753, 82.401944, 83.146709, 248.829999]]
### 12
mean: [-2.014215]
std: [4.480497]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[77.778990, 78.143639, 85.934776, 96.624444, 181.279319]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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"std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": -2.360250949859619, "std": 3.0943033695220947, "pca": [-0.3732250928878784, 0.4308035969734192, -0.48593804240226746, 0.3948790729045868, 0.04761243239045143, 0.24051599204540253, 0.31421899795532227, -0.3524167537689209, 0.0, 0.0], "fourier": [53.66228068044714, 53.96197875015786, 59.36229983867663, 64.11930548071284, 212.42258870601654]}, "1": {"mean": 3.2904036045074463, "std": 3.6555378437042236, "pca": [0.45018041133880615, 0.08349134773015976, -0.41193780303001404, -0.5653157830238342, -0.3349086046218872, 0.2698799669742584, -0.041505999863147736, -0.3381868898868561, 0.0, 0.0], "fourier": [58.47592478392594, 65.48191270476316, 78.07445432898515, 79.89534411704062, 296.1363188736141]}, "2": {"mean": 3.803638458251953, "std": 4.70160436630249, "pca": [0.5811558365821838, 0.009604998864233494, -0.005065370816737413, 0.6195048689842224, -0.3529210388660431, -0.3473874628543854, 0.006132463458925486, 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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.672326, -0.247081, -0.224177, 0.396428, 1.359422], [-0.300736, -0.510059, -0.36775, -0.232042, 0.06354], [0.860134, -0.136673, 0.238159, 0.086842, 1.300637], [-0.201649, -0.810536, 0.451755, -0.468087, -0.137667], [-0.397104, -0.017881, -0.49501, -0.405688, -0.302784], [-0.032315, -0.481503, -0.376037, -0.12239, -0.608866], [-0.288713, -0.643709, -0.344171, -0.269478, -0.319631], [0.971119, 0.122252, -0.321915, -0.309343, -0.268985]], "network.0.bias": [0.2746, -0.23549, -0.210164, 0.838237, -0.433859, -0.158892, -0.797486, -0.179287], "network.2.weight": [[-0.897176, -0.300242, 0.037842, 0.808039, -0.019235, -0.122555, 0.341738, -0.646136], [0.850823, -0.001673, 0.323337, -0.292559, 0.338218, -0.076343, -0.009804, 0.099363], [0.635155, 0.061477, 0.7882, -0.83747, 0.066275, 0.280382, 0.342508, 0.288952], [0.282488, -0.294609, 0.438009, 0.394981, -0.071155, -0.466706, 0.238886, 0.140789], [0.406832, 0.065002, 0.013538, -0.127043, 0.380223, 0.062589, 0.490063, 0.489326], [-0.239833, 0.043179, -0.194886, -0.040814, 0.014864, 0.339763, -0.48274, -0.18848], [0.616983, 0.516079, 0.446315, -0.670241, 0.095475, 0.198439, 0.283325, 0.050773], [0.056652, 0.049662, 0.035311, 1.423075, -0.067039, 0.070984, 0.057338, 0.105937]], "network.2.bias": [0.151571, -0.001223, -0.166677, -0.312824, 0.192919, -0.340964, -0.454861, 0.140352], "network.4.weight": [[-0.236318, 0.65538, 0.365666, 0.184617, 0.248429, -0.18309, 0.222294, -0.183883], [0.051312, -0.212363, -0.013016, -0.065785, -0.33237, -0.126514, -0.462183, -0.263896], [0.717234, -0.765072, -0.291503, 0.330496, -0.849057, 0.132931, -0.45441, 0.871255], [-0.038846, -0.442792, -0.557324, -0.001471, -0.113312, -0.49005, -0.111081, -0.228799], [-0.513649, 0.059145, 0.567849, 0.390514, -0.065171, -0.005479, 0.808057, -0.310985], [-0.445082, 0.400492, 0.570751, -0.022944, -0.351458, 0.094798, 0.301163, 0.160741], [0.606239, -0.635532, -0.593985, -0.306897, -0.132852, 0.281027, -0.005981, 0.623265], [-0.000253, -0.515769, -0.330827, -0.25996, -0.06338, -0.043814, -0.437971, -0.065127]], "network.4.bias": [-0.063351, -0.191945, 0.198594, -0.2351, -0.006792, 0.039849, -0.091454, -0.124188], "network.6.weight": [[-0.074901, 0.070114, -0.312301, -0.157931, -0.071008, -0.288308, 0.049886, 0.172754], [0.596316, 0.415608, -0.629962, -0.166998, 0.594351, 0.353479, -0.035294, -0.557779], [0.178702, -0.405731, -0.6934, 0.245187, 0.668162, 0.536584, 0.108592, -0.151738], [-0.843928, 0.190346, 1.104155, 0.218245, -0.239547, -0.490408, 0.196766, 0.079074], [0.164979, -0.031863, -0.247831, 0.081573, -0.643441, -0.120338, -0.159306, 0.139663], [-0.502307, -0.091494, -0.382998, -0.024285, -0.051637, -0.505573, -0.142321, -0.140765], [-0.226097, 0.206875, 0.772524, 0.413277, -0.231509, -0.813282, 0.13613, 0.136387], [-0.192845, -0.13748, -0.320984, -0.312359, -0.352573, 0.131092, -0.124415, -0.224111]], "network.6.bias": [-0.12631, -0.31502, -0.373745, 0.153725, -0.168844, -0.167687, 0.279478, -0.29708], "network.8.weight": [[0.179428, -0.241684, 0.239617, -0.374035, -0.125475, -0.113261, -0.152767, 0.102311], [-0.283666, 0.264301, -0.004037, -0.125298, -0.108623, -0.025129, 0.237488, 0.140647], [0.274033, -0.07929, -0.195955, -0.29537, 0.130228, -0.280096, -0.223307, -0.266612], [0.053647, -0.344066, -0.444994, 0.452838, -0.246664, -0.043358, 0.377245, 0.135396], [-0.076343, 0.646017, 0.332553, -0.141344, 0.096084, -0.050847, 0.251458, 0.102437], [0.169364, 0.429509, 0.388949, 0.337696, 0.365194, 0.47595, 0.259707, 0.244128], [0.051823, -0.3512, -0.32321, 0.736494, -0.247459, -0.149381, 0.411707, -0.079781], [0.108153, 0.056202, -0.061898, 0.10174, -0.172797, 0.336131, -0.343615, 0.193654]], "network.8.bias": [-0.151606, -0.511078, -0.281493, 0.514294, -0.012285, 0.212748, 0.432832, -0.348361], "network.10.weight": [[0.257016, 0.221728, -0.132533, -0.525189, 0.249062, -0.069871, 0.121429, -0.06491], [-0.076982, 0.347304, 0.33766, -0.181704, 0.302494, -0.364761, -0.359012, 0.059681], [0.069427, -0.169751, 0.061585, 0.614321, -0.138219, 0.249651, 0.709407, 0.072608], [-0.074777, 0.195407, 0.261131, -0.427198, 0.198331, 0.289067, 0.093448, -0.10503], [-0.072471, -0.249489, -0.207091, -0.529113, -0.359373, -0.377608, -0.231246, -0.200123], [0.325666, 0.251517, 0.330801, -0.147844, 0.215955, 0.417487, -0.451919, 0.329328], [-0.11502, 0.129524, -0.163042, -0.430216, -0.554801, 0.037492, -0.350809, 0.274373], [-0.022053, 0.118792, -0.117227, -0.510543, 0.178921, 0.328053, 0.081048, -0.184544]], "network.10.bias": [-0.314619, -0.619298, 0.312342, -0.187465, 0.073319, -0.233611, -0.0911, -0.227936], "network.12.weight": [[-0.115216, -0.143695, 0.584295, -0.313903, 0.0159, -0.222015, 0.057932, -0.353548]], "network.12.bias": [0.071373]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6813414990901947, "train_acc": 0.6, "val_loss": 0.7458683848381042, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6704125702381134, "train_acc": 0.6, "val_loss": 0.7799358367919922, "val_acc": 0.4}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.621642678976059, "train_acc": 0.6, "val_loss": 0.6389274597167969, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5508641004562378, "train_acc": 0.575, "val_loss": 0.46011611819267273, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.47092175483703613, "train_acc": 0.775, "val_loss": 0.3878999352455139, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.3842354565858841, "train_acc": 0.815, "val_loss": 0.5611310005187988, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.41361089050769806, "train_acc": 0.77, "val_loss": 0.36325323581695557, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3285452872514725, "train_acc": 0.85, "val_loss": 0.37117087841033936, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3236866891384125, "train_acc": 0.845, "val_loss": 0.364429235458374, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.29671917855739594, "train_acc": 0.85, "val_loss": 0.34454545378685, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2910281717777252, "train_acc": 0.865, "val_loss": 0.3253607153892517, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.28122375905513763, "train_acc": 0.885, "val_loss": 0.35846272110939026, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.2895015627145767, "train_acc": 0.9, "val_loss": 0.3821481466293335, "val_acc": 0.86}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7458683848381042, "final_val_loss": 0.6389274597167969, "initial_val_acc": 0.4, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.46011611819267273, "final_val_loss": 0.3821481466293335, "initial_val_acc": 0.86, "final_val_acc": 0.86, "best_val_acc": 0.88, "best_epoch": 11}, "improvement": 0.48, "first_improvement_epoch": 2}}
|
138
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.62, "improved_accuracy": 0.92, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1146, "learning_rate": 0.017691029126155614, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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[
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[
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[
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"network.6.weight": [
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"network.8.weight": [
[
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]
}
## Activation Signature
### 0
mean: [2.141955, 0.214514, -0.944741, 0.932233, 0.957202, 2.978668, 1.093566, 3.816792]
std: [1.816676, 1.324497, 0.757018, 1.653776, 1.204338, 2.242948, 1.299989, 2.283453]
pca: [[0.100814, 0.650455, -0.122682, -0.375371, -0.393319, 0.291222, -0.025628, -0.413065, 0.000000, 0.000000], [-0.026107, 0.400948, -0.133771, 0.592251, -0.373693, 0.039737, -0.231003, 0.524705, 0.000000, 0.000000], [-0.127507, -0.194601, -0.240435, 0.046409, -0.086636, 0.657385, 0.637981, 0.198064, 0.000000, 0.000000], [0.374293, -0.425941, -0.119792, -0.026297, -0.089587, 0.511431, -0.626589, -0.035150, 0.000000, 0.000000], [-0.005879, 0.233883, 0.563893, -0.427169, 0.239772, 0.266547, -0.100145, 0.553397, 0.000000, 0.000000], [0.621375, 0.112404, 0.491103, 0.444138, 0.097816, 0.118727, 0.279048, -0.247559, 0.000000, 0.000000], [0.035377, 0.359876, -0.423672, 0.149214, 0.787614, 0.177576, -0.113511, -0.052157, 0.000000, 0.000000], [0.667390, -0.002540, -0.395271, -0.321704, -0.052223, -0.321274, 0.213460, 0.378606, 0.000000, 0.000000]]
fourier: [[26.860336, 28.334549, 28.731291, 31.105228, 192.775916], [19.714707, 20.322146, 21.280467, 21.641592, 21.900712], [11.903573, 11.987686, 13.999382, 14.177004, 85.026696], [26.796668, 28.379113, 32.917690, 34.318745, 83.900992], [16.050129, 20.997441, 22.905046, 26.022234, 86.148203], [36.340208, 40.068443, 42.308294, 46.998283, 268.080161], [19.931114, 20.598833, 21.624417, 22.671993, 98.420957], [35.923841, 38.728315, 40.352783, 43.594296, 343.511233]]
### 2
mean: [2.564179, 0.100697, -1.240620, 0.309589, 0.113896, 1.417875, 1.618271, 5.887921]
std: [1.741926, 0.454360, 1.199865, 0.791958, 1.059726, 2.089058, 2.633334, 2.975613]
pca: [[-0.441140, 0.180843, -0.213214, -0.457693, 0.609195, -0.189178, 0.047253, -0.329558, 0.000000, 0.000000], [0.090498, 0.084454, -0.065325, 0.093806, 0.118975, 0.852038, 0.278995, -0.391980, 0.000000, 0.000000], [0.212191, -0.133848, 0.582969, 0.215866, 0.669421, 0.068679, -0.287763, 0.122311, 0.000000, 0.000000], [-0.215112, -0.025365, -0.073841, 0.219900, 0.252190, -0.001254, 0.703188, 0.584123, 0.000000, 0.000000], [0.124467, -0.012291, 0.658966, -0.446543, -0.206590, -0.141564, 0.494164, -0.209290, 0.000000, 0.000000], [-0.557501, 0.091815, 0.282878, 0.622526, -0.139458, -0.177416, 0.049581, -0.399777, 0.000000, 0.000000], [0.599845, 0.447203, -0.200830, 0.299125, 0.172055, -0.384655, 0.245988, -0.268914, 0.000000, 0.000000], [-0.140691, 0.856174, 0.224452, -0.101727, -0.106167, 0.184521, -0.188365, 0.325030, 0.000000, 0.000000]]
fourier: [[27.571227, 27.958538, 27.992070, 33.048192, 230.776145], [7.781794, 8.371621, 8.526598, 9.062701, 9.840427], [18.648023, 19.560212, 22.315128, 27.262645, 111.655812], [11.626035, 11.867602, 12.460478, 16.168885, 27.862978], [16.175504, 16.611641, 17.544181, 18.629062, 21.695487], [28.640236, 30.510400, 37.708249, 39.261351, 127.608723], [44.461751, 47.281610, 50.700335, 51.134394, 145.644391], [44.663527, 50.599563, 53.330710, 62.824201, 529.912882]]
### 4
mean: [0.542650, -0.682329, 0.251201, 0.220824, -1.665434, 3.367497, 0.915466, 4.025482]
std: [1.326180, 0.731853, 2.082658, 2.091105, 1.563058, 2.547251, 2.683953, 2.799276]
pca: [[0.228535, 0.208668, -0.122599, -0.000189, -0.224866, 0.881364, -0.199839, -0.147976, 0.000000, 0.000000], [0.124528, -0.114955, 0.221989, 0.072135, 0.114815, 0.179613, -0.134869, 0.923668, 0.000000, 0.000000], [0.376962, 0.223836, 0.083943, 0.595942, -0.351278, -0.339014, -0.452925, -0.046224, 0.000000, 0.000000], [0.380361, 0.198001, 0.448642, -0.192270, -0.438619, -0.049081, 0.617951, 0.034850, 0.000000, 0.000000], [-0.198708, -0.427301, 0.698081, -0.194039, -0.166208, 0.076072, -0.406786, -0.232538, 0.000000, 0.000000], [-0.420974, 0.469252, 0.443869, 0.466399, 0.338710, 0.176627, 0.190387, -0.076595, 0.000000, 0.000000], [0.473637, 0.367148, 0.195860, -0.409997, 0.575443, -0.118090, -0.273009, -0.121644, 0.000000, 0.000000], [-0.452165, 0.562454, -0.068316, -0.423562, -0.383387, -0.150561, -0.280383, 0.216451, 0.000000, 0.000000]]
fourier: [[23.298238, 23.377004, 25.238636, 25.840605, 48.838493], [10.523024, 11.454201, 12.177009, 12.599391, 61.409608], [33.072028, 35.397663, 37.170145, 38.810972, 41.345499], [32.535993, 34.520712, 35.120756, 37.385539, 43.616316], [26.161735, 27.637612, 29.468384, 29.638323, 149.889025], [36.267820, 39.424487, 42.130960, 48.536359, 303.074733], [45.437016, 45.886702, 49.177302, 55.575279, 82.391916], [41.278244, 41.459959, 47.994007, 49.634947, 362.293393]]
### 6
mean: [0.513892, 2.736264, 2.072720, -1.131032, 2.386019, 1.791141, 1.869284, 2.010948]
std: [2.762666, 3.265566, 2.827825, 1.241815, 2.861069, 2.451171, 2.313583, 2.470271]
pca: [[-0.358420, 0.777782, -0.170545, -0.017116, -0.342977, 0.169770, -0.040968, -0.298461, 0.000000, 0.000000], [0.451812, 0.209551, 0.701881, -0.001938, -0.384544, -0.300254, 0.057248, -0.134195, 0.000000, 0.000000], [0.392573, 0.031354, -0.173084, -0.658688, -0.292073, 0.423612, -0.071857, 0.333405, 0.000000, 0.000000], [0.154558, -0.433966, -0.245969, 0.305981, -0.537068, 0.288003, 0.250185, -0.446856, 0.000000, 0.000000], [0.394598, 0.259575, -0.220856, 0.659662, -0.073173, 0.092727, -0.254752, 0.462742, 0.000000, 0.000000], [0.340298, -0.010313, -0.386906, -0.163944, 0.082469, -0.409848, -0.571060, -0.454566, 0.000000, 0.000000], [0.320033, 0.156866, 0.227061, 0.075633, 0.549412, 0.593977, -0.015438, -0.400991, 0.000000, 0.000000], [0.339805, 0.264088, -0.371198, -0.066759, 0.216183, -0.298746, 0.732149, -0.022784, 0.000000, 0.000000]]
fourier: [[46.250316, 50.081156, 50.584418, 53.392948, 55.215451], [52.534075, 56.463878, 62.354348, 65.769845, 246.263748], [44.236669, 49.685771, 54.942319, 57.866813, 186.544801], [21.940583, 23.327629, 23.518180, 24.705512, 101.792890], [46.697811, 49.358910, 53.848693, 58.182092, 214.741676], [38.596051, 43.814477, 47.592956, 50.510414, 161.202713], [37.424274, 40.197994, 43.915810, 46.880263, 168.235587], [40.459870, 42.211716, 46.388863, 50.189073, 180.985302]]
### 8
mean: [-4.955348]
std: [5.234276]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[90.135076, 91.865249, 95.895307, 107.743152, 445.981287]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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],
[
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],
[
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]
],
"network.0.bias": [
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0.48916,
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],
"network.2.weight": [
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],
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[
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],
[
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[
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"network.2.bias": [
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],
"network.4.bias": [
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"network.6.weight": [
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],
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],
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[
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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [2.141955, 0.214514, -0.944741, 0.932233, 0.957202, 2.978668, 1.093566, 3.816792]
std: [1.816676, 1.324497, 0.757018, 1.653776, 1.204338, 2.242948, 1.299989, 2.283453]
pca: [[0.100814, 0.650455, -0.122682, -0.375371, -0.393319, 0.291222, -0.025628, -0.413065, 0.000000, 0.000000], [-0.026107, 0.400948, -0.133771, 0.592251, -0.373693, 0.039737, -0.231003, 0.524705, 0.000000, 0.000000], [-0.127507, -0.194601, -0.240435, 0.046409, -0.086636, 0.657385, 0.637981, 0.198064, 0.000000, 0.000000], [0.374293, -0.425941, -0.119792, -0.026297, -0.089587, 0.511431, -0.626589, -0.035150, 0.000000, 0.000000], [-0.005879, 0.233883, 0.563893, -0.427169, 0.239772, 0.266547, -0.100145, 0.553397, 0.000000, 0.000000], [0.621375, 0.112404, 0.491103, 0.444138, 0.097816, 0.118727, 0.279048, -0.247559, 0.000000, 0.000000], [0.035377, 0.359876, -0.423672, 0.149214, 0.787614, 0.177576, -0.113511, -0.052157, 0.000000, 0.000000], [0.667390, -0.002540, -0.395271, -0.321704, -0.052223, -0.321274, 0.213460, 0.378606, 0.000000, 0.000000]]
fourier: [[26.860336, 28.334549, 28.731291, 31.105228, 192.775916], [19.714707, 20.322146, 21.280467, 21.641592, 21.900712], [11.903573, 11.987686, 13.999382, 14.177004, 85.026696], [26.796668, 28.379113, 32.917690, 34.318745, 83.900992], [16.050129, 20.997441, 22.905046, 26.022234, 86.148203], [36.340208, 40.068443, 42.308294, 46.998283, 268.080161], [19.931114, 20.598833, 21.624417, 22.671993, 98.420957], [35.923841, 38.728315, 40.352783, 43.594296, 343.511233]]
### 2
mean: [2.564179, 0.100697, -1.240620, 0.309589, 0.113896, 1.417875, 1.618271, 5.887921]
std: [1.741926, 0.454360, 1.199865, 0.791958, 1.059726, 2.089058, 2.633334, 2.975613]
pca: [[-0.441140, 0.180843, -0.213214, -0.457693, 0.609195, -0.189178, 0.047253, -0.329558, 0.000000, 0.000000], [0.090498, 0.084454, -0.065325, 0.093806, 0.118975, 0.852038, 0.278995, -0.391980, 0.000000, 0.000000], [0.212191, -0.133848, 0.582969, 0.215866, 0.669421, 0.068679, -0.287763, 0.122311, 0.000000, 0.000000], [-0.215112, -0.025365, -0.073841, 0.219900, 0.252190, -0.001254, 0.703188, 0.584123, 0.000000, 0.000000], [0.124467, -0.012291, 0.658966, -0.446543, -0.206590, -0.141564, 0.494164, -0.209290, 0.000000, 0.000000], [-0.557501, 0.091815, 0.282878, 0.622526, -0.139458, -0.177416, 0.049581, -0.399777, 0.000000, 0.000000], [0.599845, 0.447203, -0.200830, 0.299125, 0.172055, -0.384655, 0.245988, -0.268914, 0.000000, 0.000000], [-0.140691, 0.856174, 0.224452, -0.101727, -0.106167, 0.184521, -0.188365, 0.325030, 0.000000, 0.000000]]
fourier: [[27.571227, 27.958538, 27.992070, 33.048192, 230.776145], [7.781794, 8.371621, 8.526598, 9.062701, 9.840427], [18.648023, 19.560212, 22.315128, 27.262645, 111.655812], [11.626035, 11.867602, 12.460478, 16.168885, 27.862978], [16.175504, 16.611641, 17.544181, 18.629062, 21.695487], [28.640236, 30.510400, 37.708249, 39.261351, 127.608723], [44.461751, 47.281610, 50.700335, 51.134394, 145.644391], [44.663527, 50.599563, 53.330710, 62.824201, 529.912882]]
### 4
mean: [0.542650, -0.682329, 0.251201, 0.220824, -1.665434, 3.367497, 0.915466, 4.025482]
std: [1.326180, 0.731853, 2.082658, 2.091105, 1.563058, 2.547251, 2.683953, 2.799276]
pca: [[0.228535, 0.208668, -0.122599, -0.000189, -0.224866, 0.881364, -0.199839, -0.147976, 0.000000, 0.000000], [0.124528, -0.114955, 0.221989, 0.072135, 0.114815, 0.179613, -0.134869, 0.923668, 0.000000, 0.000000], [0.376962, 0.223836, 0.083943, 0.595942, -0.351278, -0.339014, -0.452925, -0.046224, 0.000000, 0.000000], [0.380361, 0.198001, 0.448642, -0.192270, -0.438619, -0.049081, 0.617951, 0.034850, 0.000000, 0.000000], [-0.198708, -0.427301, 0.698081, -0.194039, -0.166208, 0.076072, -0.406786, -0.232538, 0.000000, 0.000000], [-0.420974, 0.469252, 0.443869, 0.466399, 0.338710, 0.176627, 0.190387, -0.076595, 0.000000, 0.000000], [0.473637, 0.367148, 0.195860, -0.409997, 0.575443, -0.118090, -0.273009, -0.121644, 0.000000, 0.000000], [-0.452165, 0.562454, -0.068316, -0.423562, -0.383387, -0.150561, -0.280383, 0.216451, 0.000000, 0.000000]]
fourier: [[23.298238, 23.377004, 25.238636, 25.840605, 48.838493], [10.523024, 11.454201, 12.177009, 12.599391, 61.409608], [33.072028, 35.397663, 37.170145, 38.810972, 41.345499], [32.535993, 34.520712, 35.120756, 37.385539, 43.616316], [26.161735, 27.637612, 29.468384, 29.638323, 149.889025], [36.267820, 39.424487, 42.130960, 48.536359, 303.074733], [45.437016, 45.886702, 49.177302, 55.575279, 82.391916], [41.278244, 41.459959, 47.994007, 49.634947, 362.293393]]
### 6
mean: [0.513892, 2.736264, 2.072720, -1.131032, 2.386019, 1.791141, 1.869284, 2.010948]
std: [2.762666, 3.265566, 2.827825, 1.241815, 2.861069, 2.451171, 2.313583, 2.470271]
pca: [[-0.358420, 0.777782, -0.170545, -0.017116, -0.342977, 0.169770, -0.040968, -0.298461, 0.000000, 0.000000], [0.451812, 0.209551, 0.701881, -0.001938, -0.384544, -0.300254, 0.057248, -0.134195, 0.000000, 0.000000], [0.392573, 0.031354, -0.173084, -0.658688, -0.292073, 0.423612, -0.071857, 0.333405, 0.000000, 0.000000], [0.154558, -0.433966, -0.245969, 0.305981, -0.537068, 0.288003, 0.250185, -0.446856, 0.000000, 0.000000], [0.394598, 0.259575, -0.220856, 0.659662, -0.073173, 0.092727, -0.254752, 0.462742, 0.000000, 0.000000], [0.340298, -0.010313, -0.386906, -0.163944, 0.082469, -0.409848, -0.571060, -0.454566, 0.000000, 0.000000], [0.320033, 0.156866, 0.227061, 0.075633, 0.549412, 0.593977, -0.015438, -0.400991, 0.000000, 0.000000], [0.339805, 0.264088, -0.371198, -0.066759, 0.216183, -0.298746, 0.732149, -0.022784, 0.000000, 0.000000]]
fourier: [[46.250316, 50.081156, 50.584418, 53.392948, 55.215451], [52.534075, 56.463878, 62.354348, 65.769845, 246.263748], [44.236669, 49.685771, 54.942319, 57.866813, 186.544801], [21.940583, 23.327629, 23.518180, 24.705512, 101.792890], [46.697811, 49.358910, 53.848693, 58.182092, 214.741676], [38.596051, 43.814477, 47.592956, 50.510414, 161.202713], [37.424274, 40.197994, 43.915810, 46.880263, 168.235587], [40.459870, 42.211716, 46.388863, 50.189073, 180.985302]]
### 8
mean: [-4.955348]
std: [5.234276]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[90.135076, 91.865249, 95.895307, 107.743152, 445.981287]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.50025, 0.061055, 0.464631, 0.649156, -0.116139], [-0.052345, -0.212891, -0.201009, 0.610998, 0.027387], [0.107977, -0.32311, -0.04017, -0.153454, 0.048601], [0.715491, 0.019564, 0.201718, -0.164717, -0.127671], [-0.487494, 0.593245, 0.05498, -0.087827, -0.10568], [0.561159, 0.708736, -0.063771, 0.387972, -0.161409], [-0.209002, -0.058617, 0.110625, 0.361954, 0.48195], [0.587391, 0.120718, 0.718419, 0.35837, -0.08662]], "network.0.bias": [0.433828, -0.256553, -0.137291, 0.095516, 0.686666, 0.48916, -0.14121, 0.70347], "network.2.weight": [[0.514763, 0.137106, -0.180729, -0.383092, 0.301989, -0.220164, 0.279924, 0.347136], [-0.0143, 0.097054, 0.002433, 0.330623, 0.040246, 0.013448, 0.037717, -0.02332], [-0.462619, -0.221705, -0.00045, -0.001026, 0.248109, 0.310154, -0.085462, -0.315681], [0.040807, 0.187432, -0.112007, -0.286274, -0.008684, -0.028271, 0.263992, 0.011819], [-0.085766, -0.19034, -0.337053, 0.041453, 0.532864, 0.186939, -0.437803, -0.142667], [0.286303, 0.502601, -0.540948, -0.636238, 0.172201, 0.312636, 0.465481, -0.198192], [-0.451811, -0.124196, -0.01412, 0.502385, -0.3933, 0.43628, -0.214112, 0.394033], [0.480922, 0.429144, -0.513412, 0.101555, 0.500257, 0.595699, -0.022987, 0.460726]], "network.2.bias": [0.476758, -0.283689, 0.016588, 0.153991, 0.278153, 0.271694, 0.008882, 0.51937], "network.4.weight": [[-0.181619, -0.290177, -0.016548, 0.117309, -0.069182, -0.186717, 0.374794, 0.130111], [-0.127886, -0.219293, 0.132272, -0.202849, 0.023536, -0.120324, 0.115577, -0.066365], [-0.325676, 0.035684, 0.057532, -0.389106, 0.072237, -0.125464, 0.52206, 0.097601], [-0.18356, -0.160857, -0.46989, -0.498762, 0.156158, -0.344059, 0.482767, 0.116476], [0.346167, -0.020609, 0.338582, -0.529107, 0.324682, 0.067724, -0.340759, -0.326367], [0.418024, -0.461191, 0.285377, 0.13909, 0.475064, 0.293811, -0.433817, 0.408327], [-0.545132, -0.15778, -0.381307, -0.15818, -0.271653, -0.543221, 0.44867, 0.424536], [0.665517, -0.193915, -0.304557, 0.15025, 0.23159, 0.393761, -0.309654, 0.340767]], "network.4.bias": [-0.050446, 0.141043, -0.025636, -0.088878, -0.079801, -0.013886, 0.123016, 0.070371], "network.6.weight": [[0.425455, -0.322962, 0.246057, 0.335533, 0.417333, -0.099787, 0.424119, -0.094731], [-0.14663, -0.476203, -0.303099, -0.233163, -0.173415, 0.187615, -0.202442, 0.591777], [-0.416819, -0.261618, -0.47631, -0.001921, 0.100293, 0.447571, -0.082681, 0.200345], [0.188904, 0.115739, -0.039489, -0.304709, 0.160208, 0.134981, -0.372799, -0.082495], [-0.020291, -0.624094, 0.080736, -0.335471, -0.141715, 0.434759, -0.325167, 0.314821], [-0.486674, -0.219523, -0.097042, -0.313233, -0.194885, 0.442416, -0.030265, 0.109794], [-0.29166, -0.438621, -0.215611, 0.140215, -0.277511, 0.207791, -0.2349, 0.356621], [-0.244822, -0.275196, -0.162632, -0.130878, -0.476017, 0.482788, -0.073688, 0.197109]], "network.6.bias": [-0.054863, 0.497284, 0.525955, -0.581511, 0.268406, 0.518867, 0.250892, 0.033058], "network.8.weight": [[0.468009, -0.565898, -0.245347, 0.251287, -0.267331, -0.323269, -0.286893, -0.43208]], "network.8.bias": [0.045446]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7234993875026703, "train_acc": 0.44, "val_loss": 0.705362856388092, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7083714008331299, "train_acc": 0.44, "val_loss": 0.6813387870788574, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.679712325334549, "train_acc": 0.47, "val_loss": 0.6396937370300293, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6010789573192596, "train_acc": 0.75, "val_loss": 0.5596035718917847, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.49970023334026337, "train_acc": 0.895, "val_loss": 0.4445156157016754, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.37465721368789673, "train_acc": 0.935, "val_loss": 0.33579644560813904, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.25354522466659546, "train_acc": 0.94, "val_loss": 0.2727523744106293, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.207440584897995, "train_acc": 0.94, "val_loss": 0.26269426941871643, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.20474901050329208, "train_acc": 0.945, "val_loss": 0.27024325728416443, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.20443086326122284, "train_acc": 0.94, "val_loss": 0.2446603775024414, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.16198815777897835, "train_acc": 0.945, "val_loss": 0.21830503642559052, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.16830690205097198, "train_acc": 0.945, "val_loss": 0.20126765966415405, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.15396250784397125, "train_acc": 0.945, "val_loss": 0.1969716101884842, "val_acc": 0.92}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.705362856388092, "final_val_loss": 0.6396937370300293, "initial_val_acc": 0.46, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.5596035718917847, "final_val_loss": 0.1969716101884842, "initial_val_acc": 0.82, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 9}, "improvement": 0.30000000000000004, "first_improvement_epoch": 2}}
|
139
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.38, "improved_accuracy": 0.96, "improvement": 0.58, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6740, "learning_rate": 0.06371344327572513, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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0.218925
],
[
-0.270491,
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-0.109256,
0.488575
],
[
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-0.274075
]
],
"network.0.bias": [
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"network.2.weight": [
[
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],
[
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0.016113,
-0.167226
],
[
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[
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],
[
0.18008,
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],
[
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]
],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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[
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[
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],
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"network.6.weight": [
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[
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"network.6.bias": [
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"network.8.weight": [
[
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[
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[
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[
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[
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],
"network.8.bias": [
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"network.10.weight": [
[
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[
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[
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[
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[
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],
"network.10.bias": [
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"network.12.weight": [
[
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [0.085230, 0.575020, -0.517226, 2.220293, -1.509622, -0.275144]
std: [1.869473, 1.057619, 1.519859, 1.451984, 1.921030, 1.336008]
pca: [[0.599724, 0.374976, 0.374281, -0.094043, 0.556417, -0.202962, 0.000000, 0.000000, 0.000000, 0.000000], [-0.260509, -0.064591, -0.314363, -0.544071, 0.597102, 0.420233, 0.000000, 0.000000, 0.000000, 0.000000], [-0.133280, -0.441713, 0.796466, -0.350759, -0.103359, 0.138034, 0.000000, 0.000000, 0.000000, 0.000000], [-0.159898, 0.695794, 0.250951, 0.062176, -0.233266, 0.607493, 0.000000, 0.000000, 0.000000, 0.000000], [0.640429, -0.385158, -0.135045, 0.200651, -0.082216, 0.613389, 0.000000, 0.000000, 0.000000, 0.000000], [-0.344944, -0.166237, 0.213349, 0.726625, 0.511872, 0.133655, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.898469, 27.136096, 27.633785, 29.862862, 34.282073], [18.245057, 18.249699, 19.186900, 20.737571, 51.751759], [26.582170, 27.236363, 28.420082, 29.666331, 46.550300], [22.342425, 23.286082, 23.782087, 29.192414, 199.826312], [29.293581, 31.914546, 33.973142, 36.698578, 135.865941], [20.241717, 20.523873, 23.891711, 24.762920, 28.792605]]
### 2
mean: [-0.550581, -0.795839, -1.903450, 0.593423, -1.684116, 1.733448]
std: [0.631403, 0.238414, 1.031854, 1.555751, 0.697149, 0.910783]
pca: [[-0.342309, -0.067299, -0.341362, 0.664834, 0.555669, -0.104855, 0.000000, 0.000000, 0.000000, 0.000000], [-0.020833, 0.058162, 0.492125, 0.164747, 0.253051, 0.814138, 0.000000, 0.000000, 0.000000, 0.000000], [-0.024146, 0.714416, 0.124391, -0.363248, 0.540888, -0.221460, 0.000000, 0.000000, 0.000000, 0.000000], [0.880856, -0.240602, -0.084756, 0.050309, 0.393403, -0.041496, 0.000000, 0.000000, 0.000000, 0.000000], [0.232341, 0.361592, 0.483692, 0.608923, -0.308561, -0.339579, 0.000000, 0.000000, 0.000000, 0.000000], [-0.227853, -0.541349, 0.620218, -0.159959, 0.290966, -0.400131, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.177624, 9.635586, 10.697878, 12.390248, 49.552320], [3.790983, 3.853735, 4.289264, 6.116243, 71.625505], [14.490861, 15.361753, 19.161454, 19.325600, 171.310460], [26.276558, 27.394142, 28.117837, 28.902213, 53.408029], [11.547407, 11.596182, 12.572695, 14.352869, 151.570414], [14.121140, 14.412631, 14.672014, 15.087418, 156.010282]]
### 4
mean: [-0.301526, -0.774730, 0.881040, 1.541165, -1.504852, 0.937909]
std: [0.830378, 0.423863, 1.077042, 0.717879, 0.568923, 0.860452]
pca: [[0.470595, -0.254432, -0.180241, -0.322583, 0.726710, 0.221697, 0.000000, 0.000000, 0.000000, 0.000000], [-0.211998, -0.256998, 0.857542, 0.125602, 0.225846, 0.294700, 0.000000, 0.000000, 0.000000, 0.000000], [0.630541, 0.061870, 0.326541, 0.340365, 0.032253, -0.612432, 0.000000, 0.000000, 0.000000, 0.000000], [0.353118, 0.468552, -0.048918, 0.479311, -0.061658, 0.647945, 0.000000, 0.000000, 0.000000, 0.000000], [-0.231595, -0.490463, -0.350779, 0.725016, 0.231360, -0.059904, 0.000000, 0.000000, 0.000000, 0.000000], [-0.397097, 0.636627, 0.008170, 0.094494, 0.602093, -0.255945, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.674265, 13.497769, 16.989234, 17.821678, 27.137363], [6.765128, 6.920362, 7.268372, 8.164696, 69.725681], [17.777340, 18.599748, 20.050912, 20.224238, 79.293622], [11.159118, 11.741566, 11.914927, 13.808163, 138.704820], [7.874091, 8.661404, 10.380127, 10.638862, 135.436648], [12.731771, 14.024025, 17.488136, 18.988192, 84.411780]]
### 6
mean: [0.257566, -1.254831, -0.338754, -0.989056, -0.633695, -0.716344]
std: [1.064857, 0.364202, 0.432981, 0.487670, 0.236409, 0.215736]
pca: [[0.869603, 0.190228, 0.203525, 0.253268, 0.187221, 0.258815, 0.000000, 0.000000, 0.000000, 0.000000], [0.022371, 0.680591, -0.364647, -0.360448, 0.451991, -0.262887, 0.000000, 0.000000, 0.000000, 0.000000], [-0.353406, -0.078919, -0.101767, 0.573212, 0.672898, 0.277768, 0.000000, 0.000000, 0.000000, 0.000000], [-0.318646, 0.483506, 0.806064, -0.026952, -0.014634, 0.118350, 0.000000, 0.000000, 0.000000, 0.000000], [-0.124553, 0.320242, -0.365033, -0.056621, -0.358975, 0.785248, 0.000000, 0.000000, 0.000000, 0.000000], [-0.036686, 0.397553, -0.179623, 0.688061, -0.422828, -0.395133, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.595867, 17.854677, 21.344453, 22.762599, 23.180933], [5.256267, 5.972315, 7.061119, 7.620878, 112.934787], [6.736669, 7.241684, 8.679128, 9.275648, 30.487839], [7.394447, 7.703109, 7.981569, 9.834210, 89.015008], [3.332590, 3.435418, 3.685988, 4.421750, 57.032533], [2.874898, 3.578848, 3.660524, 4.701664, 64.470995]]
### 8
mean: [0.327737, 0.469288, -0.194310, -0.379836, -0.155128, 0.331599]
std: [0.457428, 0.449043, 0.037531, 0.376754, 0.269662, 0.357306]
pca: [[0.526587, -0.458854, 0.598521, 0.304271, 0.235489, 0.076785, 0.000000, 0.000000, 0.000000, 0.000000], [-0.516975, 0.058061, 0.702912, -0.437219, -0.020600, 0.209034, 0.000000, 0.000000, 0.000000, 0.000000], [0.042787, 0.414552, 0.132498, -0.091409, 0.682169, -0.578835, 0.000000, 0.000000, 0.000000, 0.000000], [0.433696, 0.473837, 0.305031, -0.070685, -0.634251, -0.295079, 0.000000, 0.000000, 0.000000, 0.000000], [-0.310393, 0.436041, 0.170513, 0.799786, 0.007992, 0.211490, 0.000000, 0.000000, 0.000000, 0.000000], [0.411310, 0.446738, -0.089518, -0.251493, 0.276456, 0.695384, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.076565, 8.088998, 8.355492, 10.168675, 29.496355], [6.943144, 7.951118, 8.188159, 9.959891, 42.235959], [0.570119, 0.662163, 0.668796, 0.800074, 17.487895], [5.819028, 6.683386, 6.849466, 8.324701, 34.185203], [4.173036, 4.763865, 4.931392, 6.003717, 13.961550], [5.518680, 6.338363, 6.495974, 7.895095, 29.843929]]
### 10
mean: [-0.494086, 0.807043, -0.587801, 0.732601, 0.834965, 0.010551]
std: [0.072928, 0.333702, 0.120961, 0.363174, 0.409594, 0.403259]
pca: [[-0.094670, 0.084495, 0.953812, -0.233146, 0.125188, -0.064122, 0.000000, 0.000000, 0.000000, 0.000000], [0.436460, -0.090904, 0.287065, 0.776248, -0.214186, 0.265322, 0.000000, 0.000000, 0.000000, 0.000000], [0.107028, 0.917747, -0.069447, 0.007594, 0.175203, 0.332730, 0.000000, 0.000000, 0.000000, 0.000000], [0.474497, -0.199673, 0.003293, -0.568037, -0.298087, 0.568727, 0.000000, 0.000000, 0.000000, 0.000000], [0.535433, -0.178661, -0.054791, -0.036454, 0.814218, -0.118782, 0.000000, 0.000000, 0.000000, 0.000000], [-0.526545, -0.265610, -0.000403, 0.137947, 0.394904, 0.690813, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.222671, 1.315436, 1.362135, 1.622402, 44.467727], [5.389102, 6.030574, 6.170816, 7.399192, 72.633899], [1.646563, 1.749565, 1.847077, 2.233594, 52.902057], [5.917310, 6.568949, 6.721176, 8.041248, 65.934061], [6.654016, 7.405985, 7.582270, 9.079630, 75.146886], [6.053748, 6.281912, 7.263487, 7.446036, 8.967460]]
### 12
mean: [-0.835354]
std: [0.539491]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.707978, 9.704809, 9.850501, 11.964206, 75.181838]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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],
[
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[
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],
[
-0.226669,
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],
[
-0.270491,
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],
[
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-0.202467,
-0.365201,
-0.274075
]
],
"network.0.bias": [
-0.16291,
0.174604,
0.015275,
0.21499,
0.47607,
0.058581
],
"network.2.weight": [
[
-0.271816,
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-0.229205,
0.006765,
-0.328904,
0.317311
],
[
-0.165633,
-0.217521,
0.194658,
0.030986,
0.016113,
-0.167226
],
[
-0.226272,
-0.517867,
-0.039,
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0.084022,
-0.070224
],
[
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],
[
0.18008,
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0.08749,
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],
[
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-0.249229
]
],
"network.2.bias": [
-0.538458,
-0.589796,
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-0.596857,
0.330556
],
"network.4.weight": [
[
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],
[
-0.316592,
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],
[
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[
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],
[
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0.041276,
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],
[
0.433124,
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]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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],
[
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[
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[
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[
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[
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0.053612,
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-0.280256
]
],
"network.6.bias": [
0.171381,
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-0.309931,
-0.049755,
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-0.148139
],
"network.8.weight": [
[
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0.2787
],
[
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0.007753,
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0.075071,
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],
[
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[
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[
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0.057609
],
[
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]
],
"network.8.bias": [
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0.253453,
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-0.283245,
0.50513
],
"network.10.weight": [
[
-0.381671,
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0.121686
],
[
0.545968,
-0.085589,
-0.076705,
-0.272578,
-0.445846,
0.661413
],
[
-0.479079,
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0.322531,
0.19347,
-0.231795,
-0.282748
],
[
0.525551,
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0.023871,
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0.683036
],
[
0.699013,
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],
[
-0.370113,
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0.373235,
-0.10512,
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-0.541738
]
],
"network.10.bias": [
-0.391821,
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0.360684,
0.178691
],
"network.12.weight": [
[
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0.111612,
-0.442292,
-0.502477,
0.383819
]
],
"network.12.bias": [
0.088651
]
}
## Activation Signature
### 0
mean: [0.085230, 0.575020, -0.517226, 2.220293, -1.509622, -0.275144]
std: [1.869473, 1.057619, 1.519859, 1.451984, 1.921030, 1.336008]
pca: [[0.599724, 0.374976, 0.374281, -0.094043, 0.556417, -0.202962, 0.000000, 0.000000, 0.000000, 0.000000], [-0.260509, -0.064591, -0.314363, -0.544071, 0.597102, 0.420233, 0.000000, 0.000000, 0.000000, 0.000000], [-0.133280, -0.441713, 0.796466, -0.350759, -0.103359, 0.138034, 0.000000, 0.000000, 0.000000, 0.000000], [-0.159898, 0.695794, 0.250951, 0.062176, -0.233266, 0.607493, 0.000000, 0.000000, 0.000000, 0.000000], [0.640429, -0.385158, -0.135045, 0.200651, -0.082216, 0.613389, 0.000000, 0.000000, 0.000000, 0.000000], [-0.344944, -0.166237, 0.213349, 0.726625, 0.511872, 0.133655, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.898469, 27.136096, 27.633785, 29.862862, 34.282073], [18.245057, 18.249699, 19.186900, 20.737571, 51.751759], [26.582170, 27.236363, 28.420082, 29.666331, 46.550300], [22.342425, 23.286082, 23.782087, 29.192414, 199.826312], [29.293581, 31.914546, 33.973142, 36.698578, 135.865941], [20.241717, 20.523873, 23.891711, 24.762920, 28.792605]]
### 2
mean: [-0.550581, -0.795839, -1.903450, 0.593423, -1.684116, 1.733448]
std: [0.631403, 0.238414, 1.031854, 1.555751, 0.697149, 0.910783]
pca: [[-0.342309, -0.067299, -0.341362, 0.664834, 0.555669, -0.104855, 0.000000, 0.000000, 0.000000, 0.000000], [-0.020833, 0.058162, 0.492125, 0.164747, 0.253051, 0.814138, 0.000000, 0.000000, 0.000000, 0.000000], [-0.024146, 0.714416, 0.124391, -0.363248, 0.540888, -0.221460, 0.000000, 0.000000, 0.000000, 0.000000], [0.880856, -0.240602, -0.084756, 0.050309, 0.393403, -0.041496, 0.000000, 0.000000, 0.000000, 0.000000], [0.232341, 0.361592, 0.483692, 0.608923, -0.308561, -0.339579, 0.000000, 0.000000, 0.000000, 0.000000], [-0.227853, -0.541349, 0.620218, -0.159959, 0.290966, -0.400131, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.177624, 9.635586, 10.697878, 12.390248, 49.552320], [3.790983, 3.853735, 4.289264, 6.116243, 71.625505], [14.490861, 15.361753, 19.161454, 19.325600, 171.310460], [26.276558, 27.394142, 28.117837, 28.902213, 53.408029], [11.547407, 11.596182, 12.572695, 14.352869, 151.570414], [14.121140, 14.412631, 14.672014, 15.087418, 156.010282]]
### 4
mean: [-0.301526, -0.774730, 0.881040, 1.541165, -1.504852, 0.937909]
std: [0.830378, 0.423863, 1.077042, 0.717879, 0.568923, 0.860452]
pca: [[0.470595, -0.254432, -0.180241, -0.322583, 0.726710, 0.221697, 0.000000, 0.000000, 0.000000, 0.000000], [-0.211998, -0.256998, 0.857542, 0.125602, 0.225846, 0.294700, 0.000000, 0.000000, 0.000000, 0.000000], [0.630541, 0.061870, 0.326541, 0.340365, 0.032253, -0.612432, 0.000000, 0.000000, 0.000000, 0.000000], [0.353118, 0.468552, -0.048918, 0.479311, -0.061658, 0.647945, 0.000000, 0.000000, 0.000000, 0.000000], [-0.231595, -0.490463, -0.350779, 0.725016, 0.231360, -0.059904, 0.000000, 0.000000, 0.000000, 0.000000], [-0.397097, 0.636627, 0.008170, 0.094494, 0.602093, -0.255945, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.674265, 13.497769, 16.989234, 17.821678, 27.137363], [6.765128, 6.920362, 7.268372, 8.164696, 69.725681], [17.777340, 18.599748, 20.050912, 20.224238, 79.293622], [11.159118, 11.741566, 11.914927, 13.808163, 138.704820], [7.874091, 8.661404, 10.380127, 10.638862, 135.436648], [12.731771, 14.024025, 17.488136, 18.988192, 84.411780]]
### 6
mean: [0.257566, -1.254831, -0.338754, -0.989056, -0.633695, -0.716344]
std: [1.064857, 0.364202, 0.432981, 0.487670, 0.236409, 0.215736]
pca: [[0.869603, 0.190228, 0.203525, 0.253268, 0.187221, 0.258815, 0.000000, 0.000000, 0.000000, 0.000000], [0.022371, 0.680591, -0.364647, -0.360448, 0.451991, -0.262887, 0.000000, 0.000000, 0.000000, 0.000000], [-0.353406, -0.078919, -0.101767, 0.573212, 0.672898, 0.277768, 0.000000, 0.000000, 0.000000, 0.000000], [-0.318646, 0.483506, 0.806064, -0.026952, -0.014634, 0.118350, 0.000000, 0.000000, 0.000000, 0.000000], [-0.124553, 0.320242, -0.365033, -0.056621, -0.358975, 0.785248, 0.000000, 0.000000, 0.000000, 0.000000], [-0.036686, 0.397553, -0.179623, 0.688061, -0.422828, -0.395133, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.595867, 17.854677, 21.344453, 22.762599, 23.180933], [5.256267, 5.972315, 7.061119, 7.620878, 112.934787], [6.736669, 7.241684, 8.679128, 9.275648, 30.487839], [7.394447, 7.703109, 7.981569, 9.834210, 89.015008], [3.332590, 3.435418, 3.685988, 4.421750, 57.032533], [2.874898, 3.578848, 3.660524, 4.701664, 64.470995]]
### 8
mean: [0.327737, 0.469288, -0.194310, -0.379836, -0.155128, 0.331599]
std: [0.457428, 0.449043, 0.037531, 0.376754, 0.269662, 0.357306]
pca: [[0.526587, -0.458854, 0.598521, 0.304271, 0.235489, 0.076785, 0.000000, 0.000000, 0.000000, 0.000000], [-0.516975, 0.058061, 0.702912, -0.437219, -0.020600, 0.209034, 0.000000, 0.000000, 0.000000, 0.000000], [0.042787, 0.414552, 0.132498, -0.091409, 0.682169, -0.578835, 0.000000, 0.000000, 0.000000, 0.000000], [0.433696, 0.473837, 0.305031, -0.070685, -0.634251, -0.295079, 0.000000, 0.000000, 0.000000, 0.000000], [-0.310393, 0.436041, 0.170513, 0.799786, 0.007992, 0.211490, 0.000000, 0.000000, 0.000000, 0.000000], [0.411310, 0.446738, -0.089518, -0.251493, 0.276456, 0.695384, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.076565, 8.088998, 8.355492, 10.168675, 29.496355], [6.943144, 7.951118, 8.188159, 9.959891, 42.235959], [0.570119, 0.662163, 0.668796, 0.800074, 17.487895], [5.819028, 6.683386, 6.849466, 8.324701, 34.185203], [4.173036, 4.763865, 4.931392, 6.003717, 13.961550], [5.518680, 6.338363, 6.495974, 7.895095, 29.843929]]
### 10
mean: [-0.494086, 0.807043, -0.587801, 0.732601, 0.834965, 0.010551]
std: [0.072928, 0.333702, 0.120961, 0.363174, 0.409594, 0.403259]
pca: [[-0.094670, 0.084495, 0.953812, -0.233146, 0.125188, -0.064122, 0.000000, 0.000000, 0.000000, 0.000000], [0.436460, -0.090904, 0.287065, 0.776248, -0.214186, 0.265322, 0.000000, 0.000000, 0.000000, 0.000000], [0.107028, 0.917747, -0.069447, 0.007594, 0.175203, 0.332730, 0.000000, 0.000000, 0.000000, 0.000000], [0.474497, -0.199673, 0.003293, -0.568037, -0.298087, 0.568727, 0.000000, 0.000000, 0.000000, 0.000000], [0.535433, -0.178661, -0.054791, -0.036454, 0.814218, -0.118782, 0.000000, 0.000000, 0.000000, 0.000000], [-0.526545, -0.265610, -0.000403, 0.137947, 0.394904, 0.690813, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.222671, 1.315436, 1.362135, 1.622402, 44.467727], [5.389102, 6.030574, 6.170816, 7.399192, 72.633899], [1.646563, 1.749565, 1.847077, 2.233594, 52.902057], [5.917310, 6.568949, 6.721176, 8.041248, 65.934061], [6.654016, 7.405985, 7.582270, 9.079630, 75.146886], [6.053748, 6.281912, 7.263487, 7.446036, 8.967460]]
### 12
mean: [-0.835354]
std: [0.539491]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.707978, 9.704809, 9.850501, 11.964206, 75.181838]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.698098, -0.059558, -0.020386, 0.184796, 0.706794], [0.379582, -0.298563, 0.283572, 0.175614, -0.40285], [-0.079606, 0.110512, -0.293171, 0.336655, -0.603527], [-0.226669, 0.540665, 0.438242, 0.05443, 0.218925], [-0.270491, -0.505306, -0.524961, -0.109256, 0.488575], [0.1003, 0.595738, -0.202467, -0.365201, -0.274075]], "network.0.bias": [-0.16291, 0.174604, 0.015275, 0.21499, 0.47607, 0.058581], "network.2.weight": [[-0.271816, 0.217798, -0.229205, 0.006765, -0.328904, 0.317311], [-0.165633, -0.217521, 0.194658, 0.030986, 0.016113, -0.167226], [-0.226272, -0.517867, -0.039, -0.593704, 0.084022, -0.070224], [0.824715, -0.439669, -0.31034, 0.311537, 0.482274, -0.457046], [0.18008, -0.586493, 0.08749, -0.27783, -0.330129, -0.259981], [-0.331685, 0.414047, 0.335906, 0.569497, 0.126739, -0.249229]], "network.2.bias": [-0.538458, -0.589796, -0.01441, -0.122335, -0.596857, 0.330556], "network.4.weight": [[-0.305864, 0.227696, 0.340748, 0.531521, 0.275516, -0.218199], [-0.316592, -0.209616, -0.399507, -0.302166, -0.300761, -0.242659], [-0.568786, 0.135687, -0.231627, 0.765415, -0.358525, 0.092116], [-0.099854, 0.108497, 0.276077, 0.494829, -0.050669, 0.456839], [0.195324, -0.521635, 0.041276, -0.347447, -0.090575, -0.475778], [0.433124, 0.026188, -0.225682, -0.385006, -0.148537, 0.579052]], "network.4.bias": [-0.325978, -0.099595, 0.148164, 0.364729, -0.416644, 0.214807], "network.6.weight": [[0.344951, -0.27904, 0.455666, 0.179763, 0.113261, -0.642211], [-0.443699, -0.148518, 0.183524, -0.290926, 0.260353, -0.526749], [-0.146859, 0.15595, -0.197883, -0.05222, -0.179349, 0.248243], [0.41565, -0.081007, -0.257576, -0.570815, -0.019943, 0.073631], [-0.392624, -0.045079, 0.047638, -0.141579, -0.400276, -0.204254], [-0.23732, -0.130186, 0.053612, -0.176599, -0.19548, -0.280256]], "network.6.bias": [0.171381, -0.323495, -0.309931, -0.049755, -0.159284, -0.148139], "network.8.weight": [[-0.481595, -0.409084, 0.237458, 0.174847, -0.141994, 0.2787], [0.473387, 0.074733, 0.007753, -0.15434, 0.075071, 0.488132], [-0.039804, -0.150027, -0.25871, -0.305888, -0.013128, 0.379754], [-0.397906, 0.326702, -0.327782, -0.245642, -0.30348, 0.037539], [0.283626, -0.052764, -0.242244, -0.155057, 0.156383, 0.057609], [-0.377365, -0.056631, -0.309854, -0.003525, 0.574538, 0.172069]], "network.8.bias": [0.546124, 0.253453, -0.174908, -0.196854, -0.283245, 0.50513], "network.10.weight": [[-0.381671, 0.015969, -0.28842, 0.177442, 0.073764, 0.121686], [0.545968, -0.085589, -0.076705, -0.272578, -0.445846, 0.661413], [-0.479079, -0.425963, 0.322531, 0.19347, -0.231795, -0.282748], [0.525551, -0.273797, 0.023871, -0.17799, -0.114324, 0.683036], [0.699013, -0.197153, 0.252095, 0.008078, -0.351549, 0.727992], [-0.370113, 0.384991, 0.373235, -0.10512, 0.398486, -0.541738]], "network.10.bias": [-0.391821, 0.3785, -0.055243, 0.371055, 0.360684, 0.178691], "network.12.weight": [[0.373271, -0.274016, 0.111612, -0.442292, -0.502477, 0.383819]], "network.12.bias": [0.088651]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6930419206619263, "train_acc": 0.475, "val_loss": 0.8074295520782471, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6588725745677948, "train_acc": 0.605, "val_loss": 0.7855169773101807, "val_acc": 0.38}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6516022682189941, "train_acc": 0.605, "val_loss": 0.7568597197532654, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.660704493522644, "train_acc": 0.575, "val_loss": 0.6050485968589783, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6475573778152466, "train_acc": 0.58, "val_loss": 0.42488572001457214, "val_acc": 0.96}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.47635920345783234, "train_acc": 0.8, "val_loss": 0.4610012173652649, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3802509158849716, "train_acc": 0.875, "val_loss": 0.35832273960113525, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3523792326450348, "train_acc": 0.875, "val_loss": 0.2065785527229309, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3755436837673187, "train_acc": 0.86, "val_loss": 0.27208831906318665, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.34712637960910797, "train_acc": 0.86, "val_loss": 0.44472840428352356, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.34709009528160095, "train_acc": 0.885, "val_loss": 0.3261213004589081, "val_acc": 0.9}], "summary": {"total_epochs": 11, "degraded_epochs": 3, "improved_epochs": 8, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.8074295520782471, "final_val_loss": 0.7568597197532654, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.6050485968589783, "final_val_loss": 0.3261213004589081, "initial_val_acc": 0.72, "final_val_acc": 0.9, "best_val_acc": 0.96, "best_epoch": 4}, "improvement": 0.58, "first_improvement_epoch": 2}}
|
140
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.56, "improved_accuracy": 0.88, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2983, "learning_rate": 0.0406444742312856, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [-2.345134, 1.205446, 1.962407, 0.647716, -2.114683]
std: [1.594076, 1.417902, 1.945274, 1.150167, 1.464339]
pca: [[-0.521724, -0.207293, 0.439456, -0.480758, 0.510474, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.094462, 0.858454, 0.163837, 0.155601, 0.450644, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.636373, -0.435316, 0.073350, 0.201010, 0.599787, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.289670, 0.014480, 0.863017, 0.030266, -0.412514, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.479585, -0.174291, 0.172795, 0.838653, 0.080148, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.850710, 26.089301, 26.904723, 31.806624, 211.061997], [21.315191, 21.675457, 23.869214, 25.771288, 108.490166], [26.259818, 37.345130, 37.629523, 41.081950, 176.616625], [18.449638, 19.161402, 22.287711, 23.881413, 58.294479], [23.257221, 24.812727, 27.027787, 30.449954, 190.321467]]
### 2
mean: [1.385227, -1.190079, 0.371307, 0.284242, 1.191806]
std: [2.081169, 0.922930, 0.134876, 0.990845, 1.761937]
pca: [[0.697101, -0.036472, 0.149510, -0.371791, -0.593413, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.291776, 0.476968, 0.725924, -0.396132, 0.059012, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.028789, 0.143747, 0.367210, 0.799972, -0.451342, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.284209, 0.856964, -0.400916, 0.104865, 0.114487, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.589333, -0.126968, 0.393833, 0.232161, 0.653882, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.183718, 36.947807, 38.094574, 46.321655, 124.670446], [14.002828, 14.403660, 19.187346, 19.378210, 107.107120], [2.089896, 2.116363, 2.140131, 3.008921, 33.417631], [16.608425, 16.781615, 17.956434, 21.645957, 25.581777], [26.313304, 31.251307, 31.705099, 39.355168, 107.262503]]
### 4
mean: [0.386002, 1.949984, 0.304269, -0.645010, 2.476107]
std: [0.258535, 2.773458, 0.796976, 0.620454, 3.276474]
pca: [[-0.046905, -0.483865, 0.703614, -0.410353, 0.316564, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.629406, 0.143502, -0.343461, -0.408850, 0.546014, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.179639, -0.292072, -0.142622, 0.639600, 0.673049, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.127993, 0.808092, 0.470150, 0.109023, 0.312535, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.743637, -0.083447, 0.381550, 0.493435, -0.225793, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.814350, 4.738384, 4.895626, 5.248223, 34.740180], [40.939805, 48.222628, 55.213922, 61.901139, 175.498586], [12.030018, 14.532310, 14.706000, 17.766950, 27.384216], [8.431355, 9.183348, 12.662030, 14.697176, 58.050870], [47.973607, 56.093017, 66.238909, 73.048654, 222.849666]]
### 6
mean: [2.377823, 2.127340, 2.325115, -1.806945, 1.578012]
std: [3.581066, 3.652503, 3.994540, 2.127504, 2.412596]
pca: [[0.494546, 0.002141, -0.507867, -0.668438, -0.225126, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.504412, 0.104698, -0.210574, 0.689586, -0.463397, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.551574, 0.371728, 0.121372, 0.070036, 0.733449, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.292866, 0.921818, -0.053558, -0.095930, -0.228931, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.333149, 0.033209, 0.824700, -0.252100, -0.379769, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[53.977335, 62.455081, 71.199653, 79.400982, 214.004054], [55.244600, 63.801966, 72.460377, 81.000882, 191.460587], [60.831848, 70.038568, 78.707977, 88.666688, 209.260377], [30.585782, 35.747999, 44.469071, 46.673506, 162.625079], [36.473697, 41.928491, 48.192426, 53.453860, 142.021048]]
### 8
mean: [0.096698, 4.729943, -0.079226, -1.428260, 4.569491]
std: [0.386082, 6.714240, 1.236028, 1.376122, 6.555747]
pca: [[-0.040142, 0.916385, 0.381451, -0.111844, 0.024764, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.701429, -0.143102, 0.293016, -0.301461, 0.557478, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.129120, 0.210290, -0.415067, 0.511156, 0.711017, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.143751, -0.244959, 0.746053, 0.600163, 0.050401, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.684872, 0.188504, -0.199403, 0.524534, -0.424876, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.572270, 6.199740, 7.955350, 8.578639, 8.702777], [99.206909, 113.492044, 137.685959, 148.972208, 425.694886], [17.652747, 18.277309, 20.774526, 25.438357, 27.444816], [20.460734, 23.490307, 27.946624, 30.531068, 128.543372], [96.853567, 111.003849, 134.292969, 145.421605, 411.254169]]
### 10
mean: [-3.450652]
std: [6.288750]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[94.193091, 106.947404, 128.216137, 139.809895, 310.558695]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.520275,
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],
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-0.087902,
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0.003808,
-0.377973
],
[
0.095674,
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-0.678483,
-0.181468
],
[
0.717296,
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0.855089
]
],
"network.4.bias": [
0.386352,
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],
"network.6.weight": [
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-0.436827,
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],
"network.6.bias": [
0.128755,
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"network.8.weight": [
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"network.10.weight": [
[
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"network.10.bias": [
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}
## Activation Signature
### 0
mean: [-2.345134, 1.205446, 1.962407, 0.647716, -2.114683]
std: [1.594076, 1.417902, 1.945274, 1.150167, 1.464339]
pca: [[-0.521724, -0.207293, 0.439456, -0.480758, 0.510474, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.094462, 0.858454, 0.163837, 0.155601, 0.450644, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.636373, -0.435316, 0.073350, 0.201010, 0.599787, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.289670, 0.014480, 0.863017, 0.030266, -0.412514, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.479585, -0.174291, 0.172795, 0.838653, 0.080148, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.850710, 26.089301, 26.904723, 31.806624, 211.061997], [21.315191, 21.675457, 23.869214, 25.771288, 108.490166], [26.259818, 37.345130, 37.629523, 41.081950, 176.616625], [18.449638, 19.161402, 22.287711, 23.881413, 58.294479], [23.257221, 24.812727, 27.027787, 30.449954, 190.321467]]
### 2
mean: [1.385227, -1.190079, 0.371307, 0.284242, 1.191806]
std: [2.081169, 0.922930, 0.134876, 0.990845, 1.761937]
pca: [[0.697101, -0.036472, 0.149510, -0.371791, -0.593413, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.291776, 0.476968, 0.725924, -0.396132, 0.059012, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.028789, 0.143747, 0.367210, 0.799972, -0.451342, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.284209, 0.856964, -0.400916, 0.104865, 0.114487, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.589333, -0.126968, 0.393833, 0.232161, 0.653882, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.183718, 36.947807, 38.094574, 46.321655, 124.670446], [14.002828, 14.403660, 19.187346, 19.378210, 107.107120], [2.089896, 2.116363, 2.140131, 3.008921, 33.417631], [16.608425, 16.781615, 17.956434, 21.645957, 25.581777], [26.313304, 31.251307, 31.705099, 39.355168, 107.262503]]
### 4
mean: [0.386002, 1.949984, 0.304269, -0.645010, 2.476107]
std: [0.258535, 2.773458, 0.796976, 0.620454, 3.276474]
pca: [[-0.046905, -0.483865, 0.703614, -0.410353, 0.316564, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.629406, 0.143502, -0.343461, -0.408850, 0.546014, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.179639, -0.292072, -0.142622, 0.639600, 0.673049, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.127993, 0.808092, 0.470150, 0.109023, 0.312535, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.743637, -0.083447, 0.381550, 0.493435, -0.225793, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.814350, 4.738384, 4.895626, 5.248223, 34.740180], [40.939805, 48.222628, 55.213922, 61.901139, 175.498586], [12.030018, 14.532310, 14.706000, 17.766950, 27.384216], [8.431355, 9.183348, 12.662030, 14.697176, 58.050870], [47.973607, 56.093017, 66.238909, 73.048654, 222.849666]]
### 6
mean: [2.377823, 2.127340, 2.325115, -1.806945, 1.578012]
std: [3.581066, 3.652503, 3.994540, 2.127504, 2.412596]
pca: [[0.494546, 0.002141, -0.507867, -0.668438, -0.225126, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.504412, 0.104698, -0.210574, 0.689586, -0.463397, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.551574, 0.371728, 0.121372, 0.070036, 0.733449, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.292866, 0.921818, -0.053558, -0.095930, -0.228931, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.333149, 0.033209, 0.824700, -0.252100, -0.379769, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[53.977335, 62.455081, 71.199653, 79.400982, 214.004054], [55.244600, 63.801966, 72.460377, 81.000882, 191.460587], [60.831848, 70.038568, 78.707977, 88.666688, 209.260377], [30.585782, 35.747999, 44.469071, 46.673506, 162.625079], [36.473697, 41.928491, 48.192426, 53.453860, 142.021048]]
### 8
mean: [0.096698, 4.729943, -0.079226, -1.428260, 4.569491]
std: [0.386082, 6.714240, 1.236028, 1.376122, 6.555747]
pca: [[-0.040142, 0.916385, 0.381451, -0.111844, 0.024764, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.701429, -0.143102, 0.293016, -0.301461, 0.557478, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.129120, 0.210290, -0.415067, 0.511156, 0.711017, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.143751, -0.244959, 0.746053, 0.600163, 0.050401, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.684872, 0.188504, -0.199403, 0.524534, -0.424876, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.572270, 6.199740, 7.955350, 8.578639, 8.702777], [99.206909, 113.492044, 137.685959, 148.972208, 425.694886], [17.652747, 18.277309, 20.774526, 25.438357, 27.444816], [20.460734, 23.490307, 27.946624, 30.531068, 128.543372], [96.853567, 111.003849, 134.292969, 145.421605, 411.254169]]
### 10
mean: [-3.450652]
std: [6.288750]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[94.193091, 106.947404, 128.216137, 139.809895, 310.558695]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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"dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.157307, -0.057856, -0.467276, -0.366278, -0.303749], [0.088952, 0.282816, 0.389603, 0.20753, -0.538961], [0.485833, -0.220018, 0.026959, 0.427673, 0.684355], [0.576054, -0.248632, -0.054863, 0.335537, -0.060208], [-0.345871, -0.222954, -0.257475, -0.111427, -0.306529]], "network.0.bias": [0.092226, -0.01476, -0.058739, -0.146768, -0.123157], "network.2.weight": [[-0.320787, -0.364103, 0.849098, 0.562551, 0.543354], [-0.429801, -0.103089, -0.394733, -0.222937, 0.026792], [0.473761, -0.07093, -0.055511, 0.006737, 0.126042], [-0.042499, -0.412156, 0.474903, -0.190738, 0.114096], [0.083497, -0.297912, 0.68474, 0.568694, 0.047837]], "network.2.bias": [-0.276639, -0.077521, 0.567186, 0.049237, -0.240472], "network.4.weight": [[-0.27728, -0.176382, 0.450517, 0.287717, 0.094906], [0.520275, 0.417656, -0.710307, 0.519714, 0.858211], [-0.087902, 0.202551, 0.31681, 0.003808, -0.377973], [0.095674, 0.311422, -0.276452, -0.678483, -0.181468], [0.717296, 0.155375, -0.527362, 0.73666, 0.855089]], "network.4.bias": [0.386352, -0.033424, 0.836764, -0.110551, 0.008708], "network.6.weight": [[-0.382973, 0.671833, -0.427679, 0.020669, 0.486988], [-0.37588, 0.628173, -0.536464, 0.134904, 0.534124], [-0.516057, 0.568727, -0.75562, 0.113651, 0.658503], [-0.436827, -0.336273, -0.172941, 0.214936, -0.421518], [-0.044385, 0.142658, -0.448677, -0.165867, 0.58016]], "network.6.bias": [0.128755, -0.097489, 0.077705, 0.228416, 0.05859], "network.8.weight": [[0.081812, -0.131994, -0.28846, 0.185273, 0.372337], [0.245646, 0.813275, 0.74181, -0.099873, 0.150018], [0.165055, -0.045318, -0.3527, -0.234066, -0.14762], [-0.358635, 0.083739, -0.246216, 0.211323, 0.211083], [0.551839, 0.931753, 0.402903, -0.337672, -0.004929]], "network.8.bias": [0.344492, -0.145583, 0.81194, -0.415018, -0.202263], "network.10.weight": [[0.105248, -0.470716, 0.645664, 0.033434, -0.453456]], "network.10.bias": [0.611858]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7032273709774017, "train_acc": 0.465, "val_loss": 0.6802827715873718, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6739759147167206, "train_acc": 0.555, "val_loss": 0.6642482876777649, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6635786294937134, "train_acc": 0.555, "val_loss": 0.6290959715843201, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6487448513507843, "train_acc": 0.485, "val_loss": 0.5852075815200806, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5710420906543732, "train_acc": 0.84, "val_loss": 0.48480576276779175, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.47133131325244904, "train_acc": 0.825, "val_loss": 0.4077623784542084, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3974790424108505, "train_acc": 0.855, "val_loss": 0.3671722412109375, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.345447301864624, "train_acc": 0.87, "val_loss": 0.343301385641098, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.33098775148391724, "train_acc": 0.885, "val_loss": 0.31573012471199036, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.30680912733078003, "train_acc": 0.89, "val_loss": 0.30546218156814575, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2925240844488144, "train_acc": 0.895, "val_loss": 0.31146708130836487, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2665683329105377, "train_acc": 0.91, "val_loss": 0.3052328824996948, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.2351270318031311, "train_acc": 0.92, "val_loss": 0.30720141530036926, "val_acc": 0.88}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6802827715873718, "final_val_loss": 0.6290959715843201, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.5852075815200806, "final_val_loss": 0.30720141530036926, "initial_val_acc": 0.82, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 8}, "improvement": 0.31999999999999995, "first_improvement_epoch": 2}}
|
141
|
{"target_pattern": "alternating", "degraded_accuracy": 0.42, "improved_accuracy": 0.98, "improvement": 0.56, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1901, "learning_rate": 0.056843564978727945, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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"network.8.weight": [
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"network.10.bias": [
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"network.12.weight": [
[
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-1.283575, 1.148816, 0.320810, 0.450375, -1.351109, -0.924511, 0.111435]
std: [1.852738, 1.032084, 1.518763, 1.485595, 1.185881, 0.987961, 1.072865]
pca: [[0.138013, 0.948043, -0.165729, 0.007358, 0.017953, -0.228777, 0.044567, 0.000000, 0.000000, 0.000000], [0.363077, -0.214809, -0.146084, -0.263367, -0.207075, -0.454838, 0.693954, 0.000000, 0.000000, 0.000000], [0.573887, -0.050852, 0.257625, 0.369318, 0.673744, 0.033329, 0.101285, 0.000000, 0.000000, 0.000000], [0.550282, -0.002020, -0.456014, 0.018734, -0.324534, 0.615240, -0.071013, 0.000000, 0.000000, 0.000000], [0.119355, 0.185488, 0.795097, 0.016851, -0.446495, 0.271805, 0.213656, 0.000000, 0.000000, 0.000000], [-0.169519, -0.046634, -0.162053, 0.889377, -0.307641, -0.135237, 0.197240, 0.000000, 0.000000, 0.000000], [-0.417118, 0.126102, -0.135768, -0.050602, 0.321781, 0.518639, 0.645436, 0.000000, 0.000000, 0.000000]]
fourier: [[33.582810, 34.843769, 35.339239, 36.873451, 115.521738], [14.925573, 16.984892, 17.559104, 19.359664, 103.393449], [23.700044, 25.531337, 25.733810, 28.872892, 29.355580], [20.900168, 21.758378, 24.658589, 28.164869, 40.533765], [18.069352, 18.607385, 19.644774, 19.855403, 121.599849], [14.161948, 15.837596, 16.000812, 18.592744, 83.205944], [15.271063, 15.358638, 15.690502, 16.262965, 18.290551]]
### 2
mean: [-0.222090, -0.524471, -0.231551, 0.414914, 0.288644, 1.125879, 0.409280]
std: [0.276905, 1.075671, 0.220630, 0.780437, 0.432645, 1.100076, 0.316818]
pca: [[-0.053364, 0.362733, 0.136090, 0.493827, 0.527873, -0.349275, 0.450053, 0.000000, 0.000000, 0.000000], [-0.621936, -0.359737, -0.199652, -0.358797, 0.208166, 0.108174, 0.510053, 0.000000, 0.000000, 0.000000], [-0.019812, -0.208867, 0.474352, 0.268604, 0.329948, 0.736390, -0.087680, 0.000000, 0.000000, 0.000000], [0.449888, 0.098814, -0.544742, 0.164576, -0.148110, 0.455081, 0.484740, 0.000000, 0.000000, 0.000000], [-0.048201, 0.642614, -0.194760, -0.478787, 0.434843, 0.256415, -0.250435, 0.000000, 0.000000, 0.000000], [0.636563, -0.345940, 0.205526, -0.455527, 0.392273, -0.202156, 0.174994, 0.000000, 0.000000, 0.000000], [-0.004557, 0.391149, 0.582831, -0.302364, -0.451938, 0.101593, 0.448662, 0.000000, 0.000000, 0.000000]]
fourier: [[3.803849, 4.760375, 5.153021, 5.406292, 19.988130], [16.160065, 17.737178, 17.851687, 18.666856, 47.202380], [3.001423, 3.019630, 3.377842, 5.161229, 20.839615], [11.346303, 11.568967, 14.200646, 14.510882, 37.342223], [6.121501, 6.849554, 7.086088, 7.604012, 25.977929], [16.076334, 17.506353, 20.522113, 21.707770, 101.329106], [4.657295, 4.846212, 6.199743, 6.441550, 36.835221]]
### 4
mean: [0.306813, 0.523473, -0.284736, -0.015752, 0.567665, 0.642021, 0.996068]
std: [0.485431, 0.417443, 0.323312, 0.204923, 0.663683, 0.823014, 0.879144]
pca: [[0.312712, -0.246746, 0.314278, 0.808925, 0.244140, 0.159728, 0.055493, 0.000000, 0.000000, 0.000000], [0.203525, 0.698083, -0.092047, 0.120362, 0.041366, 0.379388, -0.550138, 0.000000, 0.000000, 0.000000], [-0.176267, 0.433102, 0.532317, -0.193049, 0.574795, -0.057916, 0.356340, 0.000000, 0.000000, 0.000000], [-0.122953, -0.180083, -0.476662, -0.097806, 0.396641, 0.688957, 0.289301, 0.000000, 0.000000, 0.000000], [0.434884, 0.258838, 0.115659, -0.066974, -0.537429, 0.272147, 0.602596, 0.000000, 0.000000, 0.000000], [0.535814, -0.381301, 0.356873, -0.528647, 0.154339, 0.207556, -0.306246, 0.000000, 0.000000, 0.000000], [0.581704, 0.139289, -0.491379, -0.019131, 0.371914, -0.485173, 0.163359, 0.000000, 0.000000, 0.000000]]
fourier: [[7.435977, 7.518946, 9.180173, 10.244373, 27.613147], [5.739097, 6.526703, 6.930762, 8.857966, 47.112531], [5.086270, 5.315356, 5.600327, 5.795303, 25.626243], [2.677353, 2.861983, 3.328018, 3.402139, 4.150299], [9.461693, 9.559170, 11.344811, 13.793952, 51.089895], [11.953744, 12.615369, 13.812935, 17.930140, 57.781881], [12.908172, 12.979714, 14.678079, 18.091741, 89.646156]]
### 6
mean: [0.800214, 0.715573, 1.487944, 0.071011, 0.575157, -0.267205, 0.267902]
std: [0.719464, 0.791871, 1.566221, 0.089180, 0.782960, 0.452714, 0.509768]
pca: [[0.330998, 0.571905, 0.226398, 0.583774, 0.330060, -0.136350, 0.209250, 0.000000, 0.000000, 0.000000], [0.366170, 0.266837, -0.571864, -0.463564, 0.017872, -0.144188, 0.481339, 0.000000, 0.000000, 0.000000], [0.724726, -0.512149, 0.001676, 0.234421, -0.292227, -0.247983, -0.103085, 0.000000, 0.000000, 0.000000], [-0.023559, -0.494566, -0.301654, 0.172206, 0.772433, 0.154372, 0.117116, 0.000000, 0.000000, 0.000000], [0.362400, 0.208506, -0.178836, -0.002525, -0.032498, 0.813386, -0.361317, 0.000000, 0.000000, 0.000000], [-0.209314, -0.162770, -0.131900, 0.431070, -0.428985, 0.372437, 0.635404, 0.000000, 0.000000, 0.000000], [0.235437, -0.157677, 0.693785, -0.416990, 0.153647, 0.273835, 0.407304, 0.000000, 0.000000, 0.000000]]
fourier: [[10.583414, 11.512772, 12.379213, 13.839722, 72.019260], [11.141393, 12.624786, 13.609946, 15.925712, 64.401602], [22.752952, 24.804416, 26.082707, 31.765027, 133.914930], [1.349085, 1.479004, 1.575691, 1.712212, 6.391019], [10.843565, 12.481640, 13.360619, 15.634925, 51.764163], [6.192984, 7.190483, 7.763180, 9.067852, 24.048409], [7.702104, 7.928927, 8.428807, 10.345220, 24.111149]]
### 8
mean: [1.478234, 0.828678, 0.758051, 0.893094, 1.050934, 1.149911, 1.521810]
std: [1.432950, 0.868176, 0.998877, 0.836561, 1.268369, 1.144963, 1.736468]
pca: [[0.443540, -0.121353, 0.719342, -0.366083, -0.129883, -0.031387, -0.345283, 0.000000, 0.000000, 0.000000], [0.268587, 0.442809, -0.209113, -0.203971, -0.196031, 0.779286, -0.027104, 0.000000, 0.000000, 0.000000], [0.309181, -0.244616, -0.028170, 0.686062, -0.603434, 0.049852, -0.080483, 0.000000, 0.000000, 0.000000], [0.258961, -0.168387, -0.177510, 0.308474, 0.650657, 0.183508, -0.566470, 0.000000, 0.000000, 0.000000], [0.392463, -0.470116, -0.586378, -0.476180, -0.140583, -0.184708, 0.022288, 0.000000, 0.000000, 0.000000], [0.354127, 0.692704, -0.188405, 0.063331, -0.041174, -0.566306, -0.181245, 0.000000, 0.000000, 0.000000], [0.537629, -0.012413, 0.164865, 0.166681, 0.368451, 0.027372, 0.720647, 0.000000, 0.000000, 0.000000]]
fourier: [[20.606750, 23.337745, 24.116407, 28.097779, 133.041089], [12.069559, 14.506463, 14.738480, 16.840823, 74.581051], [14.092948, 16.422459, 16.755619, 19.401742, 68.224630], [11.718115, 13.762229, 14.033703, 16.333583, 80.378451], [17.836944, 20.919072, 21.231964, 24.993635, 94.584045], [16.004954, 19.175927, 19.445685, 22.127795, 103.491985], [24.413509, 28.541515, 29.258137, 33.893143, 136.962920]]
### 10
mean: [-0.012307, 2.662644, 0.073844, -1.090208, 0.182093, -0.610248, -1.165677]
std: [0.055585, 2.725948, 0.062272, 1.059065, 0.413957, 0.760291, 1.155214]
pca: [[-0.016168, 0.009894, 0.519238, 0.795809, 0.148310, -0.242588, -0.125998, 0.000000, 0.000000, 0.000000], [0.835824, 0.432705, 0.217759, -0.107455, 0.121373, 0.187538, -0.072788, 0.000000, 0.000000, 0.000000], [-0.010420, 0.588929, -0.261429, 0.118321, -0.421004, -0.555454, 0.291436, 0.000000, 0.000000, 0.000000], [-0.324622, 0.319506, 0.402694, 0.012399, -0.157778, 0.560608, 0.539486, 0.000000, 0.000000, 0.000000], [0.126868, -0.072478, -0.369108, 0.210670, 0.649451, -0.031467, 0.612578, 0.000000, 0.000000, 0.000000], [-0.233049, 0.167393, 0.468069, -0.531161, 0.443356, -0.467314, 0.038728, 0.000000, 0.000000, 0.000000], [-0.353895, 0.574868, -0.311666, 0.120306, 0.377866, 0.252582, -0.475494, 0.000000, 0.000000, 0.000000]]
fourier: [[0.854488, 0.918543, 0.980223, 1.010004, 1.107588], [38.724767, 45.622292, 45.871246, 52.293704, 239.637959], [0.984028, 1.092491, 1.116822, 1.157738, 6.645996], [15.426467, 17.544324, 17.935649, 20.270151, 98.118720], [6.123489, 6.797178, 7.009373, 7.957997, 16.388401], [11.125267, 12.535054, 12.835413, 14.632856, 54.922353], [16.498806, 19.301213, 19.635392, 22.012160, 104.910942]]
### 12
mean: [-0.961833]
std: [1.255445]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.094259, 20.966706, 21.197972, 23.928637, 86.564981]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-1.283575, 1.148816, 0.320810, 0.450375, -1.351109, -0.924511, 0.111435]
std: [1.852738, 1.032084, 1.518763, 1.485595, 1.185881, 0.987961, 1.072865]
pca: [[0.138013, 0.948043, -0.165729, 0.007358, 0.017953, -0.228777, 0.044567, 0.000000, 0.000000, 0.000000], [0.363077, -0.214809, -0.146084, -0.263367, -0.207075, -0.454838, 0.693954, 0.000000, 0.000000, 0.000000], [0.573887, -0.050852, 0.257625, 0.369318, 0.673744, 0.033329, 0.101285, 0.000000, 0.000000, 0.000000], [0.550282, -0.002020, -0.456014, 0.018734, -0.324534, 0.615240, -0.071013, 0.000000, 0.000000, 0.000000], [0.119355, 0.185488, 0.795097, 0.016851, -0.446495, 0.271805, 0.213656, 0.000000, 0.000000, 0.000000], [-0.169519, -0.046634, -0.162053, 0.889377, -0.307641, -0.135237, 0.197240, 0.000000, 0.000000, 0.000000], [-0.417118, 0.126102, -0.135768, -0.050602, 0.321781, 0.518639, 0.645436, 0.000000, 0.000000, 0.000000]]
fourier: [[33.582810, 34.843769, 35.339239, 36.873451, 115.521738], [14.925573, 16.984892, 17.559104, 19.359664, 103.393449], [23.700044, 25.531337, 25.733810, 28.872892, 29.355580], [20.900168, 21.758378, 24.658589, 28.164869, 40.533765], [18.069352, 18.607385, 19.644774, 19.855403, 121.599849], [14.161948, 15.837596, 16.000812, 18.592744, 83.205944], [15.271063, 15.358638, 15.690502, 16.262965, 18.290551]]
### 2
mean: [-0.222090, -0.524471, -0.231551, 0.414914, 0.288644, 1.125879, 0.409280]
std: [0.276905, 1.075671, 0.220630, 0.780437, 0.432645, 1.100076, 0.316818]
pca: [[-0.053364, 0.362733, 0.136090, 0.493827, 0.527873, -0.349275, 0.450053, 0.000000, 0.000000, 0.000000], [-0.621936, -0.359737, -0.199652, -0.358797, 0.208166, 0.108174, 0.510053, 0.000000, 0.000000, 0.000000], [-0.019812, -0.208867, 0.474352, 0.268604, 0.329948, 0.736390, -0.087680, 0.000000, 0.000000, 0.000000], [0.449888, 0.098814, -0.544742, 0.164576, -0.148110, 0.455081, 0.484740, 0.000000, 0.000000, 0.000000], [-0.048201, 0.642614, -0.194760, -0.478787, 0.434843, 0.256415, -0.250435, 0.000000, 0.000000, 0.000000], [0.636563, -0.345940, 0.205526, -0.455527, 0.392273, -0.202156, 0.174994, 0.000000, 0.000000, 0.000000], [-0.004557, 0.391149, 0.582831, -0.302364, -0.451938, 0.101593, 0.448662, 0.000000, 0.000000, 0.000000]]
fourier: [[3.803849, 4.760375, 5.153021, 5.406292, 19.988130], [16.160065, 17.737178, 17.851687, 18.666856, 47.202380], [3.001423, 3.019630, 3.377842, 5.161229, 20.839615], [11.346303, 11.568967, 14.200646, 14.510882, 37.342223], [6.121501, 6.849554, 7.086088, 7.604012, 25.977929], [16.076334, 17.506353, 20.522113, 21.707770, 101.329106], [4.657295, 4.846212, 6.199743, 6.441550, 36.835221]]
### 4
mean: [0.306813, 0.523473, -0.284736, -0.015752, 0.567665, 0.642021, 0.996068]
std: [0.485431, 0.417443, 0.323312, 0.204923, 0.663683, 0.823014, 0.879144]
pca: [[0.312712, -0.246746, 0.314278, 0.808925, 0.244140, 0.159728, 0.055493, 0.000000, 0.000000, 0.000000], [0.203525, 0.698083, -0.092047, 0.120362, 0.041366, 0.379388, -0.550138, 0.000000, 0.000000, 0.000000], [-0.176267, 0.433102, 0.532317, -0.193049, 0.574795, -0.057916, 0.356340, 0.000000, 0.000000, 0.000000], [-0.122953, -0.180083, -0.476662, -0.097806, 0.396641, 0.688957, 0.289301, 0.000000, 0.000000, 0.000000], [0.434884, 0.258838, 0.115659, -0.066974, -0.537429, 0.272147, 0.602596, 0.000000, 0.000000, 0.000000], [0.535814, -0.381301, 0.356873, -0.528647, 0.154339, 0.207556, -0.306246, 0.000000, 0.000000, 0.000000], [0.581704, 0.139289, -0.491379, -0.019131, 0.371914, -0.485173, 0.163359, 0.000000, 0.000000, 0.000000]]
fourier: [[7.435977, 7.518946, 9.180173, 10.244373, 27.613147], [5.739097, 6.526703, 6.930762, 8.857966, 47.112531], [5.086270, 5.315356, 5.600327, 5.795303, 25.626243], [2.677353, 2.861983, 3.328018, 3.402139, 4.150299], [9.461693, 9.559170, 11.344811, 13.793952, 51.089895], [11.953744, 12.615369, 13.812935, 17.930140, 57.781881], [12.908172, 12.979714, 14.678079, 18.091741, 89.646156]]
### 6
mean: [0.800214, 0.715573, 1.487944, 0.071011, 0.575157, -0.267205, 0.267902]
std: [0.719464, 0.791871, 1.566221, 0.089180, 0.782960, 0.452714, 0.509768]
pca: [[0.330998, 0.571905, 0.226398, 0.583774, 0.330060, -0.136350, 0.209250, 0.000000, 0.000000, 0.000000], [0.366170, 0.266837, -0.571864, -0.463564, 0.017872, -0.144188, 0.481339, 0.000000, 0.000000, 0.000000], [0.724726, -0.512149, 0.001676, 0.234421, -0.292227, -0.247983, -0.103085, 0.000000, 0.000000, 0.000000], [-0.023559, -0.494566, -0.301654, 0.172206, 0.772433, 0.154372, 0.117116, 0.000000, 0.000000, 0.000000], [0.362400, 0.208506, -0.178836, -0.002525, -0.032498, 0.813386, -0.361317, 0.000000, 0.000000, 0.000000], [-0.209314, -0.162770, -0.131900, 0.431070, -0.428985, 0.372437, 0.635404, 0.000000, 0.000000, 0.000000], [0.235437, -0.157677, 0.693785, -0.416990, 0.153647, 0.273835, 0.407304, 0.000000, 0.000000, 0.000000]]
fourier: [[10.583414, 11.512772, 12.379213, 13.839722, 72.019260], [11.141393, 12.624786, 13.609946, 15.925712, 64.401602], [22.752952, 24.804416, 26.082707, 31.765027, 133.914930], [1.349085, 1.479004, 1.575691, 1.712212, 6.391019], [10.843565, 12.481640, 13.360619, 15.634925, 51.764163], [6.192984, 7.190483, 7.763180, 9.067852, 24.048409], [7.702104, 7.928927, 8.428807, 10.345220, 24.111149]]
### 8
mean: [1.478234, 0.828678, 0.758051, 0.893094, 1.050934, 1.149911, 1.521810]
std: [1.432950, 0.868176, 0.998877, 0.836561, 1.268369, 1.144963, 1.736468]
pca: [[0.443540, -0.121353, 0.719342, -0.366083, -0.129883, -0.031387, -0.345283, 0.000000, 0.000000, 0.000000], [0.268587, 0.442809, -0.209113, -0.203971, -0.196031, 0.779286, -0.027104, 0.000000, 0.000000, 0.000000], [0.309181, -0.244616, -0.028170, 0.686062, -0.603434, 0.049852, -0.080483, 0.000000, 0.000000, 0.000000], [0.258961, -0.168387, -0.177510, 0.308474, 0.650657, 0.183508, -0.566470, 0.000000, 0.000000, 0.000000], [0.392463, -0.470116, -0.586378, -0.476180, -0.140583, -0.184708, 0.022288, 0.000000, 0.000000, 0.000000], [0.354127, 0.692704, -0.188405, 0.063331, -0.041174, -0.566306, -0.181245, 0.000000, 0.000000, 0.000000], [0.537629, -0.012413, 0.164865, 0.166681, 0.368451, 0.027372, 0.720647, 0.000000, 0.000000, 0.000000]]
fourier: [[20.606750, 23.337745, 24.116407, 28.097779, 133.041089], [12.069559, 14.506463, 14.738480, 16.840823, 74.581051], [14.092948, 16.422459, 16.755619, 19.401742, 68.224630], [11.718115, 13.762229, 14.033703, 16.333583, 80.378451], [17.836944, 20.919072, 21.231964, 24.993635, 94.584045], [16.004954, 19.175927, 19.445685, 22.127795, 103.491985], [24.413509, 28.541515, 29.258137, 33.893143, 136.962920]]
### 10
mean: [-0.012307, 2.662644, 0.073844, -1.090208, 0.182093, -0.610248, -1.165677]
std: [0.055585, 2.725948, 0.062272, 1.059065, 0.413957, 0.760291, 1.155214]
pca: [[-0.016168, 0.009894, 0.519238, 0.795809, 0.148310, -0.242588, -0.125998, 0.000000, 0.000000, 0.000000], [0.835824, 0.432705, 0.217759, -0.107455, 0.121373, 0.187538, -0.072788, 0.000000, 0.000000, 0.000000], [-0.010420, 0.588929, -0.261429, 0.118321, -0.421004, -0.555454, 0.291436, 0.000000, 0.000000, 0.000000], [-0.324622, 0.319506, 0.402694, 0.012399, -0.157778, 0.560608, 0.539486, 0.000000, 0.000000, 0.000000], [0.126868, -0.072478, -0.369108, 0.210670, 0.649451, -0.031467, 0.612578, 0.000000, 0.000000, 0.000000], [-0.233049, 0.167393, 0.468069, -0.531161, 0.443356, -0.467314, 0.038728, 0.000000, 0.000000, 0.000000], [-0.353895, 0.574868, -0.311666, 0.120306, 0.377866, 0.252582, -0.475494, 0.000000, 0.000000, 0.000000]]
fourier: [[0.854488, 0.918543, 0.980223, 1.010004, 1.107588], [38.724767, 45.622292, 45.871246, 52.293704, 239.637959], [0.984028, 1.092491, 1.116822, 1.157738, 6.645996], [15.426467, 17.544324, 17.935649, 20.270151, 98.118720], [6.123489, 6.797178, 7.009373, 7.957997, 16.388401], [11.125267, 12.535054, 12.835413, 14.632856, 54.922353], [16.498806, 19.301213, 19.635392, 22.012160, 104.910942]]
### 12
mean: [-0.961833]
std: [1.255445]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.094259, 20.966706, 21.197972, 23.928637, 86.564981]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
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"integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.215666, 0.219231, -0.513306, 0.258917, -0.592177], [-0.130261, -0.287933, 0.172581, 0.383098, 0.206441], [-0.666089, -0.109882, 0.06476, 0.165774, 0.369897], [-0.339104, -0.394626, 0.261386, 0.590025, -0.069653], [-0.135266, -0.007004, -0.517667, -0.187564, 0.336481], [-0.070014, -0.092646, 0.27873, -0.29432, -0.283413], [0.288332, 0.298895, -0.045331, -0.238841, -0.271555]], "network.0.bias": [-0.167321, 0.39895, 0.402973, -0.133909, -0.101439, -0.2701, 0.14976], "network.2.weight": [[0.309503, -0.098844, 0.008022, -0.109208, -0.225707, -0.381138, -0.265181], [-0.120191, -0.174973, -0.321814, -0.370079, -0.210282, 0.095397, 0.614409], [0.014568, -0.309391, 0.173202, 0.237255, -0.251159, 0.033816, 0.151632], [-0.210367, 0.190307, 0.259421, 0.149287, 0.414308, 0.457888, -0.418519], [0.210681, 0.353031, -0.263654, -0.38792, -0.7056, -0.245418, -0.388895], [-0.329055, 0.304529, 0.527276, 0.44585, 0.105603, 0.318508, 0.032828], [0.379767, 0.15, -0.223559, -0.012904, -0.476976, -0.363907, -0.147086]], "network.2.bias": [0.002937, -0.047717, -0.236485, 0.113922, 0.44206, 0.149385, 0.38992], "network.4.weight": [[-0.461678, -0.103748, -0.381153, -0.325204, -0.143282, 0.527565, -0.353561], [-0.417543, 0.480931, 0.064299, -0.033801, -0.223276, 0.190577, -0.580485], [-0.028618, -0.001339, -0.015761, -0.106694, -0.077483, -0.240064, -0.215907], [-0.127912, -0.031482, -0.416564, 0.12382, 0.004352, -0.185384, 0.578776], [-0.038227, 0.367135, -0.097187, 0.083359, -0.301597, 0.459399, -0.717836], [-0.208654, -0.05027, -0.229909, 0.386345, -0.550756, 0.429003, -0.269746], [-0.683236, 0.406288, -0.300493, 0.19666, -0.601216, 0.56022, -0.303651]], "network.4.bias": [-0.005012, 0.49683, 0.09294, -0.089889, 0.293404, 0.213713, 0.453938], "network.6.weight": [[-0.188097, 0.277245, 0.078603, 0.010838, 0.22688, 0.02152, 0.640699], [0.016676, 0.434613, -0.119162, -0.335844, 0.501168, 0.351126, 0.073814], [0.458274, 0.295282, 0.265675, -0.152556, 0.562855, 0.511422, 0.650615], [0.106229, -0.144588, -0.223135, 0.252918, 0.236409, 0.044323, -0.246665], [0.09149, 0.320574, -0.284751, -0.234627, 0.440435, 0.144092, 0.290341], [0.17757, -0.261709, 0.001517, 0.180016, -0.033231, -0.30763, -0.205162], [-0.054436, 0.107538, 0.001683, -0.22592, -0.153421, 0.269657, 0.418306]], "network.6.bias": [0.032466, 0.000589, 0.095356, 0.163623, -0.169958, 0.177088, -0.221408], "network.8.weight": [[0.375396, 0.228117, 0.591727, 0.108491, -0.072905, -0.554075, 0.149509], [0.332231, 0.402954, 0.151707, 0.026643, 0.2258, -0.186529, -0.241023], [0.506954, -0.181196, 0.452873, -0.022386, -0.05491, 0.154919, 0.255951], [0.155605, -0.119037, 0.320332, -0.42532, 0.285146, 0.030361, 0.210092], [-0.047431, 0.499815, 0.414731, 0.003183, 0.155379, -0.163107, 0.306512], [0.668158, 0.3903, 0.125719, 0.201031, 0.272026, -0.342631, -0.134589], [0.569016, 0.171964, 0.623523, -0.248745, 0.10498, -0.251691, 0.24345]], "network.8.bias": [0.203322, 0.053993, -0.150533, 0.22301, 0.014144, 0.121518, 0.0133], "network.10.weight": [[0.029195, 0.145373, -0.056423, 0.109055, 0.022632, 0.200246, -0.299167], [0.499098, 0.159266, 0.12109, 0.283231, 0.522667, 0.148268, 0.370973], [-0.096288, -0.235472, 0.297315, 0.327897, 0.202456, -0.09429, -0.23235], [-0.374842, 0.235325, 0.208758, 0.200064, -0.248791, -0.188142, -0.314986], [0.068692, -0.251932, -0.227415, -0.028547, 0.284322, 0.061096, 0.197822], [-0.272997, -0.045937, 0.358937, -0.178205, -0.159523, 0.156943, -0.284104], [-0.356696, 0.06013, 0.337037, 0.045968, -0.015398, -0.454015, -0.285691]], "network.10.bias": [-0.002533, 0.322975, 0.156214, -0.138195, -0.180673, 0.099893, -0.06927], "network.12.weight": [[0.15315, -0.461267, 0.019313, 0.377789, 0.087983, 0.197419, -0.178782]], "network.12.bias": [0.250017]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7017727196216583, "train_acc": 0.445, "val_loss": 0.7163354754447937, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.650115430355072, "train_acc": 0.585, "val_loss": 0.7300100922584534, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.5678383111953735, "train_acc": 0.585, "val_loss": 0.5735309720039368, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6893948465585709, "train_acc": 0.52, "val_loss": 0.44581684470176697, "val_acc": 0.98}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4534198045730591, "train_acc": 0.915, "val_loss": 0.5346720814704895, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.527908593416214, "train_acc": 0.785, "val_loss": 0.525818943977356, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.45747846364974976, "train_acc": 0.77, "val_loss": 0.3246966302394867, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.28256284445524216, "train_acc": 0.935, "val_loss": 0.2801281809806824, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2072049230337143, "train_acc": 0.925, "val_loss": 0.1957632452249527, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.12786026298999786, "train_acc": 0.975, "val_loss": 0.3039119839668274, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.1970273181796074, "train_acc": 0.93, "val_loss": 0.14167973399162292, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.1658952683210373, "train_acc": 0.96, "val_loss": 0.22454291582107544, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.1667407602071762, "train_acc": 0.955, "val_loss": 0.17943069338798523, "val_acc": 0.94}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7163354754447937, "final_val_loss": 0.5735309720039368, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.44581684470176697, "final_val_loss": 0.17943069338798523, "initial_val_acc": 0.98, "final_val_acc": 0.94, "best_val_acc": 0.98, "best_epoch": 3}, "improvement": 0.56, "first_improvement_epoch": 2}}
|
142
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{"target_pattern": "alternating", "degraded_accuracy": 0.68, "improved_accuracy": 0.94, "improvement": 0.2599999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8129, "learning_rate": 0.03690252276506208, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
mean: [-2.120803, -1.685946, -0.499605, 3.091746, 0.449639, 4.489938, -1.962791, 2.306951]
std: [1.645011, 3.051168, 1.128334, 1.972751, 2.621960, 3.483722, 1.261099, 1.751146]
pca: [[-0.078027, 0.346344, 0.480533, -0.443525, -0.177896, 0.382069, 0.295084, -0.426185, 0.000000, 0.000000], [0.427343, 0.561768, 0.004614, -0.156516, 0.597227, -0.340844, -0.050400, -0.043374, 0.000000, 0.000000], [-0.022859, 0.090580, 0.698662, 0.636236, 0.165102, 0.088798, 0.047353, 0.246907, 0.000000, 0.000000], [0.328001, -0.289748, -0.255271, 0.193413, 0.445843, 0.603981, 0.310484, -0.214289, 0.000000, 0.000000], [-0.501211, -0.292838, 0.091458, 0.073485, 0.387281, -0.426022, 0.192578, -0.529812, 0.000000, 0.000000], [0.650586, -0.412320, 0.268905, -0.036265, -0.302234, -0.389821, 0.252090, -0.162020, 0.000000, 0.000000], [-0.136321, 0.249350, -0.246266, 0.096528, -0.114563, -0.173263, 0.838041, 0.322210, 0.000000, 0.000000], [-0.100617, -0.392895, 0.272864, -0.566172, 0.362191, 0.041172, 0.093778, 0.546655, 0.000000, 0.000000]]
fourier: [[24.418259, 25.244407, 30.822466, 32.691898, 190.872307], [52.380057, 55.700551, 57.992558, 65.683265, 151.735181], [17.373893, 19.392835, 19.577945, 19.922280, 44.964450], [29.833806, 33.225188, 37.668596, 40.318774, 278.257178], [40.467497, 41.658821, 43.754830, 45.498119, 52.034619], [54.224921, 55.518674, 57.718221, 63.291035, 404.094388], [20.805828, 21.695230, 21.886827, 22.263501, 176.651135], [32.888768, 32.923240, 33.033068, 35.835763, 207.625609]]
### 2
mean: [-4.242591, 5.231596, -4.251968, -3.812743, -1.922341, 1.238189, 4.782132, -1.624872]
std: [4.098847, 3.405759, 4.980147, 4.088723, 1.901256, 1.544540, 3.164772, 0.997383]
pca: [[0.451569, 0.097261, 0.115782, 0.247316, 0.168732, 0.582154, 0.264637, -0.524070, 0.000000, 0.000000], [-0.341202, 0.695948, -0.139233, 0.308602, 0.430418, -0.117369, 0.275811, 0.097511, 0.000000, 0.000000], [0.545970, 0.262336, 0.071177, -0.480839, 0.499635, -0.092142, -0.306375, 0.211738, 0.000000, 0.000000], [0.449136, 0.122913, 0.265955, 0.641195, -0.271373, -0.172103, -0.137116, 0.423371, 0.000000, 0.000000], [0.206735, 0.128858, 0.178764, -0.373317, -0.306840, -0.154614, 0.784141, 0.190792, 0.000000, 0.000000], [-0.139044, -0.368721, 0.670343, 0.121746, 0.458145, -0.353655, 0.149099, -0.152743, 0.000000, 0.000000], [-0.342762, 0.217663, 0.574553, -0.175154, -0.117513, 0.579593, -0.167128, 0.310931, 0.000000, 0.000000], [0.017380, -0.471521, -0.282813, 0.128044, 0.380964, 0.352572, 0.276026, 0.579100, 0.000000, 0.000000]]
fourier: [[59.853119, 65.034556, 66.676579, 71.502674, 381.833206], [52.394189, 56.766162, 60.332242, 61.802175, 470.843632], [73.633916, 77.526241, 81.220434, 86.901827, 382.677077], [58.059866, 64.677584, 66.874840, 69.603934, 343.146893], [28.111648, 29.835684, 30.056109, 32.098064, 173.010658], [24.883874, 25.276191, 26.446975, 26.452737, 111.436971], [46.533132, 48.832393, 56.014741, 61.444052, 430.391874], [17.952201, 18.465983, 18.690063, 18.780813, 146.238454]]
### 4
mean: [-3.001798, -2.547828, -5.043572, -4.776217, 4.216980, -2.407768, 2.184167, -5.890526]
std: [1.872799, 1.410166, 4.508901, 4.799172, 2.482134, 2.270269, 2.137950, 5.789217]
pca: [[0.178796, -0.299749, -0.206315, 0.452132, 0.180995, -0.086249, -0.053510, 0.766897, 0.000000, 0.000000], [0.135257, -0.225619, 0.074312, -0.427623, 0.523852, 0.658089, 0.148717, 0.113137, 0.000000, 0.000000], [0.471637, 0.042681, 0.166027, 0.084892, -0.467536, 0.154280, 0.701775, 0.078001, 0.000000, 0.000000], [0.501077, 0.140644, -0.043402, -0.358263, 0.416303, -0.639115, 0.128758, -0.023454, 0.000000, 0.000000], [-0.228184, 0.374856, 0.797161, -0.020543, 0.111345, -0.082171, -0.006688, 0.390297, 0.000000, 0.000000], [0.235918, -0.031267, 0.281711, 0.669154, 0.426935, 0.082451, 0.015012, -0.476383, 0.000000, 0.000000], [0.043576, 0.830219, -0.421984, 0.146495, 0.155651, 0.267773, 0.034908, 0.110263, 0.000000, 0.000000], [0.605470, 0.082981, 0.171945, -0.086639, -0.286397, 0.204834, -0.681516, 0.031687, 0.000000, 0.000000]]
fourier: [[29.388788, 29.663959, 33.560115, 35.364457, 270.161797], [22.251609, 22.334623, 25.703407, 26.284856, 229.304486], [67.698366, 69.148949, 69.664659, 84.304747, 453.921479], [72.668925, 72.751894, 77.208449, 89.611197, 429.859488], [35.777801, 38.720067, 44.146420, 46.755604, 379.528160], [33.261275, 33.879960, 34.640845, 41.995450, 216.699122], [34.227195, 35.127314, 38.253192, 39.581656, 196.575077], [86.986642, 88.417395, 90.265313, 108.227727, 530.147328]]
### 6
mean: [-0.507327, -1.117395, 0.669158, -1.560483, -0.339817, -1.440962, -2.224473, -0.451314]
std: [1.521527, 0.757016, 0.450708, 0.722224, 4.640619, 1.201707, 1.419537, 0.935288]
pca: [[-0.291452, -0.002943, -0.470857, 0.181297, -0.281457, 0.106253, -0.102042, 0.748032, 0.000000, 0.000000], [-0.097412, 0.344274, 0.072543, -0.294090, 0.207716, 0.665493, -0.542317, -0.010012, 0.000000, 0.000000], [0.041896, -0.162465, 0.539250, -0.163451, 0.021912, 0.411065, 0.555172, 0.420324, 0.000000, 0.000000], [-0.085045, 0.313807, -0.466917, -0.351383, -0.328112, 0.247116, 0.526196, -0.327421, 0.000000, 0.000000], [0.897094, 0.280243, -0.155108, 0.217098, -0.037128, 0.122141, 0.010803, 0.170536, 0.000000, 0.000000], [-0.205624, 0.340806, -0.187055, 0.349467, 0.756557, 0.002962, 0.331271, 0.048216, 0.000000, 0.000000], [-0.133519, 0.744357, 0.397275, -0.081156, -0.242454, -0.412234, -0.008510, 0.186813, 0.000000, 0.000000], [-0.178024, 0.088570, 0.217608, 0.744722, -0.370078, 0.361834, 0.021276, -0.300273, 0.000000, 0.000000]]
fourier: [[22.141583, 23.362517, 26.313527, 31.199472, 45.659448], [10.720861, 10.787987, 11.594074, 12.131262, 100.565533], [7.483377, 8.111069, 8.247770, 8.266223, 60.224263], [11.334041, 12.014707, 12.073126, 12.510049, 140.443407], [61.777455, 67.523644, 68.603947, 74.138622, 88.950599], [18.603182, 18.641038, 19.208892, 20.106661, 129.686540], [20.446681, 20.864927, 21.140390, 21.524220, 200.202549], [13.667939, 13.746216, 15.409276, 16.244456, 40.618228]]
### 8
mean: [-0.214456, 0.402054, -0.355303, -0.209860, -0.707976, -0.312062, -0.166317, -0.584377]
std: [0.173468, 2.216262, 0.168752, 0.454946, 1.852509, 0.861988, 0.438565, 0.303174]
pca: [[-0.055587, -0.062670, -0.082566, 0.120328, -0.121343, 0.910951, 0.352510, -0.053560, 0.000000, 0.000000], [0.716728, 0.645341, 0.027842, -0.188357, 0.079358, 0.119957, -0.001362, -0.113550, 0.000000, 0.000000], [-0.042619, -0.080039, 0.670891, -0.432531, -0.449864, 0.184434, -0.341160, 0.042622, 0.000000, 0.000000], [-0.129281, 0.420508, 0.244338, 0.738114, -0.173768, 0.037583, -0.247056, 0.330608, 0.000000, 0.000000], [-0.599185, 0.535935, -0.033574, -0.141296, -0.040521, -0.033265, 0.025997, -0.573790, 0.000000, 0.000000], [-0.276214, 0.319459, -0.321301, -0.437624, -0.059943, 0.039856, 0.072918, 0.718613, 0.000000, 0.000000], [-0.143420, -0.014500, 0.115580, -0.079543, 0.779011, 0.312467, -0.502209, 0.053166, 0.000000, 0.000000], [-0.093785, 0.082973, 0.604063, -0.018455, 0.366486, -0.141493, 0.663402, 0.157013, 0.000000, 0.000000]]
fourier: [[2.546863, 2.554247, 2.716983, 3.284146, 19.300997], [32.730571, 32.746729, 35.354351, 36.184837, 40.937431], [2.571097, 2.580806, 2.633520, 2.788283, 31.977242], [6.509132, 7.626142, 8.187977, 8.993671, 18.887400], [26.711427, 27.276102, 28.571766, 34.077541, 63.717804], [12.048656, 12.250594, 13.291286, 16.059871, 28.085538], [6.347628, 6.580039, 7.409298, 7.506008, 14.968528], [4.468543, 4.691443, 5.008996, 5.344021, 52.593939]]
### 10
mean: [-0.063069]
std: [0.858987]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.581079, 12.642318, 12.914810, 13.346785, 16.596259]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
mean: [-2.120803, -1.685946, -0.499605, 3.091746, 0.449639, 4.489938, -1.962791, 2.306951]
std: [1.645011, 3.051168, 1.128334, 1.972751, 2.621960, 3.483722, 1.261099, 1.751146]
pca: [[-0.078027, 0.346344, 0.480533, -0.443525, -0.177896, 0.382069, 0.295084, -0.426185, 0.000000, 0.000000], [0.427343, 0.561768, 0.004614, -0.156516, 0.597227, -0.340844, -0.050400, -0.043374, 0.000000, 0.000000], [-0.022859, 0.090580, 0.698662, 0.636236, 0.165102, 0.088798, 0.047353, 0.246907, 0.000000, 0.000000], [0.328001, -0.289748, -0.255271, 0.193413, 0.445843, 0.603981, 0.310484, -0.214289, 0.000000, 0.000000], [-0.501211, -0.292838, 0.091458, 0.073485, 0.387281, -0.426022, 0.192578, -0.529812, 0.000000, 0.000000], [0.650586, -0.412320, 0.268905, -0.036265, -0.302234, -0.389821, 0.252090, -0.162020, 0.000000, 0.000000], [-0.136321, 0.249350, -0.246266, 0.096528, -0.114563, -0.173263, 0.838041, 0.322210, 0.000000, 0.000000], [-0.100617, -0.392895, 0.272864, -0.566172, 0.362191, 0.041172, 0.093778, 0.546655, 0.000000, 0.000000]]
fourier: [[24.418259, 25.244407, 30.822466, 32.691898, 190.872307], [52.380057, 55.700551, 57.992558, 65.683265, 151.735181], [17.373893, 19.392835, 19.577945, 19.922280, 44.964450], [29.833806, 33.225188, 37.668596, 40.318774, 278.257178], [40.467497, 41.658821, 43.754830, 45.498119, 52.034619], [54.224921, 55.518674, 57.718221, 63.291035, 404.094388], [20.805828, 21.695230, 21.886827, 22.263501, 176.651135], [32.888768, 32.923240, 33.033068, 35.835763, 207.625609]]
### 2
mean: [-4.242591, 5.231596, -4.251968, -3.812743, -1.922341, 1.238189, 4.782132, -1.624872]
std: [4.098847, 3.405759, 4.980147, 4.088723, 1.901256, 1.544540, 3.164772, 0.997383]
pca: [[0.451569, 0.097261, 0.115782, 0.247316, 0.168732, 0.582154, 0.264637, -0.524070, 0.000000, 0.000000], [-0.341202, 0.695948, -0.139233, 0.308602, 0.430418, -0.117369, 0.275811, 0.097511, 0.000000, 0.000000], [0.545970, 0.262336, 0.071177, -0.480839, 0.499635, -0.092142, -0.306375, 0.211738, 0.000000, 0.000000], [0.449136, 0.122913, 0.265955, 0.641195, -0.271373, -0.172103, -0.137116, 0.423371, 0.000000, 0.000000], [0.206735, 0.128858, 0.178764, -0.373317, -0.306840, -0.154614, 0.784141, 0.190792, 0.000000, 0.000000], [-0.139044, -0.368721, 0.670343, 0.121746, 0.458145, -0.353655, 0.149099, -0.152743, 0.000000, 0.000000], [-0.342762, 0.217663, 0.574553, -0.175154, -0.117513, 0.579593, -0.167128, 0.310931, 0.000000, 0.000000], [0.017380, -0.471521, -0.282813, 0.128044, 0.380964, 0.352572, 0.276026, 0.579100, 0.000000, 0.000000]]
fourier: [[59.853119, 65.034556, 66.676579, 71.502674, 381.833206], [52.394189, 56.766162, 60.332242, 61.802175, 470.843632], [73.633916, 77.526241, 81.220434, 86.901827, 382.677077], [58.059866, 64.677584, 66.874840, 69.603934, 343.146893], [28.111648, 29.835684, 30.056109, 32.098064, 173.010658], [24.883874, 25.276191, 26.446975, 26.452737, 111.436971], [46.533132, 48.832393, 56.014741, 61.444052, 430.391874], [17.952201, 18.465983, 18.690063, 18.780813, 146.238454]]
### 4
mean: [-3.001798, -2.547828, -5.043572, -4.776217, 4.216980, -2.407768, 2.184167, -5.890526]
std: [1.872799, 1.410166, 4.508901, 4.799172, 2.482134, 2.270269, 2.137950, 5.789217]
pca: [[0.178796, -0.299749, -0.206315, 0.452132, 0.180995, -0.086249, -0.053510, 0.766897, 0.000000, 0.000000], [0.135257, -0.225619, 0.074312, -0.427623, 0.523852, 0.658089, 0.148717, 0.113137, 0.000000, 0.000000], [0.471637, 0.042681, 0.166027, 0.084892, -0.467536, 0.154280, 0.701775, 0.078001, 0.000000, 0.000000], [0.501077, 0.140644, -0.043402, -0.358263, 0.416303, -0.639115, 0.128758, -0.023454, 0.000000, 0.000000], [-0.228184, 0.374856, 0.797161, -0.020543, 0.111345, -0.082171, -0.006688, 0.390297, 0.000000, 0.000000], [0.235918, -0.031267, 0.281711, 0.669154, 0.426935, 0.082451, 0.015012, -0.476383, 0.000000, 0.000000], [0.043576, 0.830219, -0.421984, 0.146495, 0.155651, 0.267773, 0.034908, 0.110263, 0.000000, 0.000000], [0.605470, 0.082981, 0.171945, -0.086639, -0.286397, 0.204834, -0.681516, 0.031687, 0.000000, 0.000000]]
fourier: [[29.388788, 29.663959, 33.560115, 35.364457, 270.161797], [22.251609, 22.334623, 25.703407, 26.284856, 229.304486], [67.698366, 69.148949, 69.664659, 84.304747, 453.921479], [72.668925, 72.751894, 77.208449, 89.611197, 429.859488], [35.777801, 38.720067, 44.146420, 46.755604, 379.528160], [33.261275, 33.879960, 34.640845, 41.995450, 216.699122], [34.227195, 35.127314, 38.253192, 39.581656, 196.575077], [86.986642, 88.417395, 90.265313, 108.227727, 530.147328]]
### 6
mean: [-0.507327, -1.117395, 0.669158, -1.560483, -0.339817, -1.440962, -2.224473, -0.451314]
std: [1.521527, 0.757016, 0.450708, 0.722224, 4.640619, 1.201707, 1.419537, 0.935288]
pca: [[-0.291452, -0.002943, -0.470857, 0.181297, -0.281457, 0.106253, -0.102042, 0.748032, 0.000000, 0.000000], [-0.097412, 0.344274, 0.072543, -0.294090, 0.207716, 0.665493, -0.542317, -0.010012, 0.000000, 0.000000], [0.041896, -0.162465, 0.539250, -0.163451, 0.021912, 0.411065, 0.555172, 0.420324, 0.000000, 0.000000], [-0.085045, 0.313807, -0.466917, -0.351383, -0.328112, 0.247116, 0.526196, -0.327421, 0.000000, 0.000000], [0.897094, 0.280243, -0.155108, 0.217098, -0.037128, 0.122141, 0.010803, 0.170536, 0.000000, 0.000000], [-0.205624, 0.340806, -0.187055, 0.349467, 0.756557, 0.002962, 0.331271, 0.048216, 0.000000, 0.000000], [-0.133519, 0.744357, 0.397275, -0.081156, -0.242454, -0.412234, -0.008510, 0.186813, 0.000000, 0.000000], [-0.178024, 0.088570, 0.217608, 0.744722, -0.370078, 0.361834, 0.021276, -0.300273, 0.000000, 0.000000]]
fourier: [[22.141583, 23.362517, 26.313527, 31.199472, 45.659448], [10.720861, 10.787987, 11.594074, 12.131262, 100.565533], [7.483377, 8.111069, 8.247770, 8.266223, 60.224263], [11.334041, 12.014707, 12.073126, 12.510049, 140.443407], [61.777455, 67.523644, 68.603947, 74.138622, 88.950599], [18.603182, 18.641038, 19.208892, 20.106661, 129.686540], [20.446681, 20.864927, 21.140390, 21.524220, 200.202549], [13.667939, 13.746216, 15.409276, 16.244456, 40.618228]]
### 8
mean: [-0.214456, 0.402054, -0.355303, -0.209860, -0.707976, -0.312062, -0.166317, -0.584377]
std: [0.173468, 2.216262, 0.168752, 0.454946, 1.852509, 0.861988, 0.438565, 0.303174]
pca: [[-0.055587, -0.062670, -0.082566, 0.120328, -0.121343, 0.910951, 0.352510, -0.053560, 0.000000, 0.000000], [0.716728, 0.645341, 0.027842, -0.188357, 0.079358, 0.119957, -0.001362, -0.113550, 0.000000, 0.000000], [-0.042619, -0.080039, 0.670891, -0.432531, -0.449864, 0.184434, -0.341160, 0.042622, 0.000000, 0.000000], [-0.129281, 0.420508, 0.244338, 0.738114, -0.173768, 0.037583, -0.247056, 0.330608, 0.000000, 0.000000], [-0.599185, 0.535935, -0.033574, -0.141296, -0.040521, -0.033265, 0.025997, -0.573790, 0.000000, 0.000000], [-0.276214, 0.319459, -0.321301, -0.437624, -0.059943, 0.039856, 0.072918, 0.718613, 0.000000, 0.000000], [-0.143420, -0.014500, 0.115580, -0.079543, 0.779011, 0.312467, -0.502209, 0.053166, 0.000000, 0.000000], [-0.093785, 0.082973, 0.604063, -0.018455, 0.366486, -0.141493, 0.663402, 0.157013, 0.000000, 0.000000]]
fourier: [[2.546863, 2.554247, 2.716983, 3.284146, 19.300997], [32.730571, 32.746729, 35.354351, 36.184837, 40.937431], [2.571097, 2.580806, 2.633520, 2.788283, 31.977242], [6.509132, 7.626142, 8.187977, 8.993671, 18.887400], [26.711427, 27.276102, 28.571766, 34.077541, 63.717804], [12.048656, 12.250594, 13.291286, 16.059871, 28.085538], [6.347628, 6.580039, 7.409298, 7.506008, 14.968528], [4.468543, 4.691443, 5.008996, 5.344021, 52.593939]]
### 10
mean: [-0.063069]
std: [0.858987]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.581079, 12.642318, 12.914810, 13.346785, 16.596259]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.393754, -0.446599, -0.22413, -0.173979, -0.059724], [-0.88537, 0.211504, -0.549835, 0.437882, -0.742754], [-0.283794, -0.112787, -0.264532, -0.106672, 0.436664], [-0.039244, 0.701398, 0.147857, 0.498477, 0.057932], [0.670361, -0.415041, 0.358105, -0.678886, 0.547868], [-0.489057, 1.038383, 0.166158, 1.035692, 0.41812], [0.087949, -0.309735, -0.177744, -0.239052, -0.389061], [0.188489, 0.082564, 0.460159, -0.067414, 0.604217]], "network.0.bias": [0.097935, 0.156034, 0.301861, 0.41322, 0.403797, 0.122626, -0.144069, 0.360081], "network.2.weight": [[-0.313296, -0.106, -0.529996, -0.621031, 0.397901, -0.764754, -0.113353, 0.265388], [-0.126349, -0.354747, 0.253138, 0.705348, -0.122996, 0.522371, 0.171398, 0.418104], [0.102326, 0.112033, -0.299482, -0.905692, 0.44423, -0.886968, 0.003371, 0.597409], [0.228015, -0.323314, -0.615599, -0.494059, 0.619235, -0.736573, 0.134936, 0.029066], [-0.089094, 0.008065, -0.131246, -0.477549, 0.380982, -0.200581, -0.227662, 0.075909], [0.25605, 0.817451, 0.00422, 0.479111, -0.182099, -0.011302, -0.252068, -0.248636], [-0.074284, 0.367353, 0.064963, 0.481415, 0.030083, 0.627024, 0.168105, -0.067581], [-0.299299, 0.17494, 0.046053, 0.036446, -0.423984, -0.190503, -0.025653, -0.124047]], "network.2.bias": [0.182211, -0.03525, 0.636512, 0.459029, -0.165514, 0.291013, 0.430973, -0.137397], "network.4.weight": [[0.240142, -0.286531, -0.283385, 0.26151, -0.401442, -0.239566, -0.232197, -0.271234], [0.256407, -0.329977, 0.042041, -0.325, 0.054693, -0.085914, -0.077441, -0.045389], [0.389064, -0.599815, 0.610091, 0.593484, 0.305765, -0.348215, -0.397775, 0.11356], [0.44849, -0.437244, 0.679407, 0.554069, 0.567741, -0.420892, -0.5848, 0.473692], [-0.063752, 0.281725, 0.372415, -0.283416, 0.314376, 0.761443, 0.261252, 0.059466], [0.351827, -0.330653, 0.070463, 0.479453, 0.039867, 0.03781, -0.255386, -0.170334], [0.802306, 0.481595, 0.49233, 0.619018, 0.192331, -0.441788, -0.07501, 0.154262], [0.675693, -0.729225, 0.819807, 0.634496, 0.358961, -0.459757, -0.539476, -0.124426]], "network.4.bias": [-0.019199, -0.316905, -0.113607, 0.228089, 0.357997, 0.233204, 0.011227, 0.36955], "network.6.weight": [[-0.098851, 0.272051, -0.117468, -0.113229, 0.225528, -0.056888, -0.472613, -0.058883], [-0.03311, 0.347025, -0.054411, -0.326781, -0.170702, -0.217788, -0.097125, 0.146436], [-0.202458, -0.299212, 0.038274, -0.201535, 0.002077, -0.093022, 0.339857, -0.033787], [-0.224968, -0.123886, -0.110114, -0.166782, -0.081841, 0.07095, -0.360697, 0.283771], [-0.204259, -0.189932, 0.508975, 0.474849, -0.637732, 0.415338, 0.579988, 0.782708], [-0.025284, 0.025803, -0.038536, 0.008215, -0.074694, -0.349699, -0.318091, -0.16739], [-0.392016, 0.114098, 0.012162, -0.207737, -0.444765, 0.142969, -0.021895, -0.425533], [-0.253898, -0.073822, 0.173788, -0.237625, 0.008766, -0.081985, -0.040412, -0.345731]], "network.6.bias": [-0.300586, -0.061284, 0.024235, -0.468769, 0.262954, -0.282628, -0.032811, -0.172692], "network.8.weight": [[-0.043632, -0.125635, 0.059903, -0.204044, -0.045299, -0.001006, 0.021042, 0.121785], [0.700665, -0.219762, -0.317373, -0.048539, 0.562036, 0.040721, 0.009604, -0.064047], [-0.288314, -0.068996, -0.180701, -0.247505, -0.025665, -0.146412, -0.267709, -0.061769], [0.371535, -0.197916, -0.375431, 0.27909, -0.073946, -0.117091, -0.327974, -0.034147], [0.564831, -0.261564, -0.42956, 0.175127, -0.422198, 0.229232, 0.173708, 0.336027], [0.429573, 0.2895, -0.141981, -0.075623, -0.195776, 0.265317, 0.295276, -0.04532], [-0.054313, 0.314635, -0.051757, 0.316441, -0.105639, 0.178014, -0.200551, 0.175547], [-0.095751, -0.288329, -0.271965, 0.272868, -0.057419, 0.301842, -0.182813, -0.126763]], "network.8.bias": [-0.198733, -0.102395, -0.162381, 0.064627, -0.049238, -0.070569, -0.008807, -0.325453], "network.10.weight": [[-0.21245, 0.389398, -0.243496, 0.54068, 0.515405, 0.353225, -0.345707, 0.109476]], "network.10.bias": [-0.371407]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7191034853458405, "train_acc": 0.435, "val_loss": 0.7005088329315186, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7076594531536102, "train_acc": 0.435, "val_loss": 0.6945986747741699, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6956145167350769, "train_acc": 0.435, "val_loss": 0.6894547343254089, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6863927841186523, "train_acc": 0.56, "val_loss": 0.6826201677322388, "val_acc": 0.66}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6723044812679291, "train_acc": 0.71, "val_loss": 0.6599339246749878, "val_acc": 0.68}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6341670155525208, "train_acc": 0.725, "val_loss": 0.6121387481689453, "val_acc": 0.62}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5600222647190094, "train_acc": 0.745, "val_loss": 0.5733456611633301, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5175102055072784, "train_acc": 0.785, "val_loss": 0.5158254504203796, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5085644423961639, "train_acc": 0.83, "val_loss": 0.4568893313407898, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.470611110329628, "train_acc": 0.88, "val_loss": 0.43856197595596313, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.4281538128852844, "train_acc": 0.915, "val_loss": 0.36770081520080566, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.40230146050453186, "train_acc": 0.925, "val_loss": 0.35231247544288635, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.3507060110569, "train_acc": 0.945, "val_loss": 0.3550892770290375, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.33625882863998413, "train_acc": 0.95, "val_loss": 0.3176790177822113, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.3071669936180115, "train_acc": 0.94, "val_loss": 0.2909097969532013, "val_acc": 0.92}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7005088329315186, "final_val_loss": 0.6599339246749878, "initial_val_acc": 0.48, "final_val_acc": 0.68, "best_val_acc": 0.68}, "improved_stage": {"initial_val_loss": 0.6121387481689453, "final_val_loss": 0.2909097969532013, "initial_val_acc": 0.62, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 9}, "improvement": 0.2599999999999999, "first_improvement_epoch": 4}}
|
143
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.68, "improved_accuracy": 0.86, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6611, "learning_rate": 0.028383289292831133, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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"network.2.weight": [
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}
## Activation Signature
### 0
mean: [-3.066719, 1.091484, 0.010325, 0.467443, -0.130036, -1.826949, 0.593667, 0.843282]
std: [1.818148, 1.300044, 1.199054, 1.116858, 0.430276, 1.106973, 1.509533, 1.402471]
pca: [[0.517726, 0.569708, -0.145768, 0.380504, 0.102370, 0.416075, 0.006705, -0.240247, 0.000000, 0.000000], [-0.475008, -0.097734, -0.115889, 0.327895, -0.487252, 0.572265, 0.251812, 0.124738, 0.000000, 0.000000], [0.389415, -0.269010, -0.257458, 0.123782, -0.248163, -0.341478, 0.707706, -0.123863, 0.000000, 0.000000], [-0.309030, -0.010626, 0.404744, 0.624708, 0.480427, -0.213054, 0.251345, -0.104565, 0.000000, 0.000000], [-0.012471, 0.083753, -0.185150, -0.292951, 0.542372, 0.280714, 0.444436, 0.549762, 0.000000, 0.000000], [0.057901, 0.510261, 0.243289, 0.139477, -0.378340, -0.363721, 0.026147, 0.617673, 0.000000, 0.000000], [0.394013, -0.281784, 0.767294, -0.141365, -0.109320, 0.354380, 0.123462, 0.062040, 0.000000, 0.000000], [0.316905, -0.496607, -0.230238, 0.465683, 0.102239, 0.026774, -0.398840, 0.461345, 0.000000, 0.000000]]
fourier: [[29.288437, 29.379805, 30.759685, 34.536694, 276.004710], [18.045207, 19.156524, 20.903711, 22.515415, 98.233550], [17.772445, 19.428409, 19.484499, 19.917147, 23.461387], [16.719312, 18.188914, 20.106104, 21.131162, 42.069843], [6.986977, 8.295539, 8.743906, 9.988842, 11.703257], [17.818978, 18.880628, 19.829080, 20.279553, 164.425407], [24.422560, 24.747167, 28.738112, 35.037246, 53.429994], [22.536924, 22.921342, 27.148539, 27.414488, 75.895339]]
### 2
mean: [-0.017420, 0.410494, 0.332795, -0.006623, 0.814154, -0.022254, -0.749169, 0.051298]
std: [1.196959, 1.065548, 0.964836, 0.681416, 0.895515, 0.544008, 0.769086, 0.356994]
pca: [[0.534929, -0.132648, 0.421089, -0.194838, 0.675481, 0.106741, 0.023099, 0.113032, 0.000000, 0.000000], [0.461130, -0.442093, -0.072643, 0.254433, -0.266910, -0.195234, 0.553620, -0.325648, 0.000000, 0.000000], [0.430904, 0.171557, 0.302929, 0.107167, -0.397112, -0.495358, -0.502360, 0.161854, 0.000000, 0.000000], [0.293962, -0.258918, -0.186702, -0.149497, -0.390440, 0.582391, -0.072127, 0.540847, 0.000000, 0.000000], [-0.350937, -0.299441, 0.629090, 0.567383, -0.067686, 0.198572, 0.006207, 0.159528, 0.000000, 0.000000], [-0.232960, -0.004875, 0.224175, -0.415283, -0.114969, -0.416533, 0.514582, 0.521037, 0.000000, 0.000000], [0.218518, 0.774749, 0.160067, 0.237687, -0.117169, 0.293250, 0.411595, 0.027609, 0.000000, 0.000000], [0.062776, 0.023737, -0.468137, 0.559097, 0.361684, -0.258854, 0.034054, 0.514562, 0.000000, 0.000000]]
fourier: [[16.049192, 17.486285, 20.331809, 23.819344, 27.139352], [15.319500, 20.282481, 20.394670, 20.573126, 36.944504], [15.076730, 16.110087, 18.996909, 21.605846, 29.951577], [9.270893, 10.378654, 13.157200, 13.207220, 14.521739], [12.259298, 13.615271, 17.257318, 21.293250, 73.273857], [7.687346, 8.256209, 9.750939, 9.995440, 10.643793], [12.032185, 12.101221, 16.142612, 16.581752, 67.425169], [5.367707, 5.381661, 5.457158, 6.426019, 7.513221]]
### 4
mean: [0.520076, -0.602182, 0.236962, 0.034337, 0.156401, 0.675847, 0.141492, 0.560104]
std: [1.094391, 0.171943, 0.442788, 0.348934, 0.595318, 0.907490, 0.569535, 0.739748]
pca: [[0.589873, 0.429606, 0.229507, 0.029026, -0.100174, -0.265914, 0.575710, 0.042257, 0.000000, 0.000000], [0.045929, -0.277827, 0.069376, -0.302454, 0.568307, 0.442587, 0.425244, 0.353161, 0.000000, 0.000000], [-0.234620, 0.211318, 0.005659, 0.498719, 0.138806, -0.215818, -0.076124, 0.761516, 0.000000, 0.000000], [-0.176960, -0.193501, 0.533811, 0.590460, -0.183313, 0.391106, 0.248211, -0.222418, 0.000000, 0.000000], [0.324706, 0.038270, 0.567554, 0.017964, 0.496840, -0.115019, -0.547424, -0.104444, 0.000000, 0.000000], [-0.464657, 0.646369, -0.066900, 0.016332, 0.436438, 0.067917, 0.154626, -0.377570, 0.000000, 0.000000], [-0.298296, 0.296605, 0.505828, -0.534605, -0.403811, 0.166211, -0.104614, 0.282397, 0.000000, 0.000000], [0.391482, 0.385904, -0.273994, 0.154675, -0.117176, 0.698854, -0.292911, 0.104403, 0.000000, 0.000000]]
fourier: [[15.043844, 18.115069, 24.171301, 24.658882, 46.806866], [2.628925, 2.640927, 2.900053, 3.105245, 54.196407], [6.780912, 7.245660, 8.726147, 9.320532, 21.326566], [5.212688, 5.233958, 5.733186, 6.253344, 7.638804], [9.507342, 9.804689, 11.970357, 14.076088, 14.125443], [12.895499, 13.599627, 18.459391, 19.961049, 60.826271], [7.582146, 10.058376, 11.467710, 12.155320, 12.734269], [10.469338, 12.117442, 16.049480, 16.771188, 50.409317]]
### 6
mean: [0.962726, 0.905865, 0.459254, 0.483207, 0.325413, 0.405999, 0.993635, 0.561740]
std: [1.368667, 1.215916, 0.963740, 1.047835, 0.515285, 0.893964, 1.056196, 0.877786]
pca: [[0.473981, 0.493770, -0.200891, -0.053822, 0.193404, -0.395309, 0.045437, 0.540870, 0.000000, 0.000000], [0.425431, 0.129602, -0.075085, 0.075678, -0.388929, 0.063325, 0.698217, -0.384791, 0.000000, 0.000000], [0.337373, -0.054557, 0.173166, 0.149217, 0.825743, 0.220802, 0.077707, -0.307096, 0.000000, 0.000000], [-0.359071, 0.520109, 0.183159, -0.502707, 0.150408, -0.315627, 0.070464, -0.432534, 0.000000, 0.000000], [-0.178065, 0.178457, 0.146543, 0.806533, -0.032193, -0.467700, -0.079713, -0.195809, 0.000000, 0.000000], [-0.301090, 0.592545, 0.012212, 0.247839, 0.009792, 0.659215, 0.115233, 0.220731, 0.000000, 0.000000], [0.367688, 0.276800, -0.291601, 0.003252, -0.212148, 0.183349, -0.671529, -0.416618, 0.000000, 0.000000], [0.306661, 0.079560, 0.885334, -0.066827, -0.246407, 0.066492, -0.169827, 0.131789, 0.000000, 0.000000]]
fourier: [[20.281305, 22.872768, 29.898805, 31.224347, 86.645340], [17.825884, 21.456979, 25.586388, 27.830320, 81.527857], [13.944416, 17.549353, 19.494254, 21.872787, 41.332895], [14.736284, 19.245158, 20.068766, 23.590062, 43.488615], [7.405838, 9.556276, 9.917443, 11.667712, 29.287210], [12.568950, 15.584995, 17.540153, 19.814010, 36.539882], [15.761833, 17.999784, 22.749983, 24.213838, 89.427172], [12.660978, 15.682009, 18.434509, 19.376953, 50.556624]]
### 8
mean: [-2.172681]
std: [2.958895]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.584682, 50.451741, 64.639054, 66.302142, 195.541259]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.059002,
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],
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[
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],
[
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[
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],
[
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],
[
0.547047,
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0.27506
],
[
0.014324,
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0.127358,
0.631271
]
],
"network.0.bias": [
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0.172397
],
"network.2.weight": [
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],
[
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0.367901,
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],
[
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[
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],
[
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]
],
"network.2.bias": [
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[
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[
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0.132455,
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[
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0.523574,
0.249305,
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],
"network.4.bias": [
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"network.6.weight": [
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],
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],
"network.8.weight": [
[
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]
],
"network.8.bias": [
0.03654
]
}
## Activation Signature
### 0
mean: [-3.066719, 1.091484, 0.010325, 0.467443, -0.130036, -1.826949, 0.593667, 0.843282]
std: [1.818148, 1.300044, 1.199054, 1.116858, 0.430276, 1.106973, 1.509533, 1.402471]
pca: [[0.517726, 0.569708, -0.145768, 0.380504, 0.102370, 0.416075, 0.006705, -0.240247, 0.000000, 0.000000], [-0.475008, -0.097734, -0.115889, 0.327895, -0.487252, 0.572265, 0.251812, 0.124738, 0.000000, 0.000000], [0.389415, -0.269010, -0.257458, 0.123782, -0.248163, -0.341478, 0.707706, -0.123863, 0.000000, 0.000000], [-0.309030, -0.010626, 0.404744, 0.624708, 0.480427, -0.213054, 0.251345, -0.104565, 0.000000, 0.000000], [-0.012471, 0.083753, -0.185150, -0.292951, 0.542372, 0.280714, 0.444436, 0.549762, 0.000000, 0.000000], [0.057901, 0.510261, 0.243289, 0.139477, -0.378340, -0.363721, 0.026147, 0.617673, 0.000000, 0.000000], [0.394013, -0.281784, 0.767294, -0.141365, -0.109320, 0.354380, 0.123462, 0.062040, 0.000000, 0.000000], [0.316905, -0.496607, -0.230238, 0.465683, 0.102239, 0.026774, -0.398840, 0.461345, 0.000000, 0.000000]]
fourier: [[29.288437, 29.379805, 30.759685, 34.536694, 276.004710], [18.045207, 19.156524, 20.903711, 22.515415, 98.233550], [17.772445, 19.428409, 19.484499, 19.917147, 23.461387], [16.719312, 18.188914, 20.106104, 21.131162, 42.069843], [6.986977, 8.295539, 8.743906, 9.988842, 11.703257], [17.818978, 18.880628, 19.829080, 20.279553, 164.425407], [24.422560, 24.747167, 28.738112, 35.037246, 53.429994], [22.536924, 22.921342, 27.148539, 27.414488, 75.895339]]
### 2
mean: [-0.017420, 0.410494, 0.332795, -0.006623, 0.814154, -0.022254, -0.749169, 0.051298]
std: [1.196959, 1.065548, 0.964836, 0.681416, 0.895515, 0.544008, 0.769086, 0.356994]
pca: [[0.534929, -0.132648, 0.421089, -0.194838, 0.675481, 0.106741, 0.023099, 0.113032, 0.000000, 0.000000], [0.461130, -0.442093, -0.072643, 0.254433, -0.266910, -0.195234, 0.553620, -0.325648, 0.000000, 0.000000], [0.430904, 0.171557, 0.302929, 0.107167, -0.397112, -0.495358, -0.502360, 0.161854, 0.000000, 0.000000], [0.293962, -0.258918, -0.186702, -0.149497, -0.390440, 0.582391, -0.072127, 0.540847, 0.000000, 0.000000], [-0.350937, -0.299441, 0.629090, 0.567383, -0.067686, 0.198572, 0.006207, 0.159528, 0.000000, 0.000000], [-0.232960, -0.004875, 0.224175, -0.415283, -0.114969, -0.416533, 0.514582, 0.521037, 0.000000, 0.000000], [0.218518, 0.774749, 0.160067, 0.237687, -0.117169, 0.293250, 0.411595, 0.027609, 0.000000, 0.000000], [0.062776, 0.023737, -0.468137, 0.559097, 0.361684, -0.258854, 0.034054, 0.514562, 0.000000, 0.000000]]
fourier: [[16.049192, 17.486285, 20.331809, 23.819344, 27.139352], [15.319500, 20.282481, 20.394670, 20.573126, 36.944504], [15.076730, 16.110087, 18.996909, 21.605846, 29.951577], [9.270893, 10.378654, 13.157200, 13.207220, 14.521739], [12.259298, 13.615271, 17.257318, 21.293250, 73.273857], [7.687346, 8.256209, 9.750939, 9.995440, 10.643793], [12.032185, 12.101221, 16.142612, 16.581752, 67.425169], [5.367707, 5.381661, 5.457158, 6.426019, 7.513221]]
### 4
mean: [0.520076, -0.602182, 0.236962, 0.034337, 0.156401, 0.675847, 0.141492, 0.560104]
std: [1.094391, 0.171943, 0.442788, 0.348934, 0.595318, 0.907490, 0.569535, 0.739748]
pca: [[0.589873, 0.429606, 0.229507, 0.029026, -0.100174, -0.265914, 0.575710, 0.042257, 0.000000, 0.000000], [0.045929, -0.277827, 0.069376, -0.302454, 0.568307, 0.442587, 0.425244, 0.353161, 0.000000, 0.000000], [-0.234620, 0.211318, 0.005659, 0.498719, 0.138806, -0.215818, -0.076124, 0.761516, 0.000000, 0.000000], [-0.176960, -0.193501, 0.533811, 0.590460, -0.183313, 0.391106, 0.248211, -0.222418, 0.000000, 0.000000], [0.324706, 0.038270, 0.567554, 0.017964, 0.496840, -0.115019, -0.547424, -0.104444, 0.000000, 0.000000], [-0.464657, 0.646369, -0.066900, 0.016332, 0.436438, 0.067917, 0.154626, -0.377570, 0.000000, 0.000000], [-0.298296, 0.296605, 0.505828, -0.534605, -0.403811, 0.166211, -0.104614, 0.282397, 0.000000, 0.000000], [0.391482, 0.385904, -0.273994, 0.154675, -0.117176, 0.698854, -0.292911, 0.104403, 0.000000, 0.000000]]
fourier: [[15.043844, 18.115069, 24.171301, 24.658882, 46.806866], [2.628925, 2.640927, 2.900053, 3.105245, 54.196407], [6.780912, 7.245660, 8.726147, 9.320532, 21.326566], [5.212688, 5.233958, 5.733186, 6.253344, 7.638804], [9.507342, 9.804689, 11.970357, 14.076088, 14.125443], [12.895499, 13.599627, 18.459391, 19.961049, 60.826271], [7.582146, 10.058376, 11.467710, 12.155320, 12.734269], [10.469338, 12.117442, 16.049480, 16.771188, 50.409317]]
### 6
mean: [0.962726, 0.905865, 0.459254, 0.483207, 0.325413, 0.405999, 0.993635, 0.561740]
std: [1.368667, 1.215916, 0.963740, 1.047835, 0.515285, 0.893964, 1.056196, 0.877786]
pca: [[0.473981, 0.493770, -0.200891, -0.053822, 0.193404, -0.395309, 0.045437, 0.540870, 0.000000, 0.000000], [0.425431, 0.129602, -0.075085, 0.075678, -0.388929, 0.063325, 0.698217, -0.384791, 0.000000, 0.000000], [0.337373, -0.054557, 0.173166, 0.149217, 0.825743, 0.220802, 0.077707, -0.307096, 0.000000, 0.000000], [-0.359071, 0.520109, 0.183159, -0.502707, 0.150408, -0.315627, 0.070464, -0.432534, 0.000000, 0.000000], [-0.178065, 0.178457, 0.146543, 0.806533, -0.032193, -0.467700, -0.079713, -0.195809, 0.000000, 0.000000], [-0.301090, 0.592545, 0.012212, 0.247839, 0.009792, 0.659215, 0.115233, 0.220731, 0.000000, 0.000000], [0.367688, 0.276800, -0.291601, 0.003252, -0.212148, 0.183349, -0.671529, -0.416618, 0.000000, 0.000000], [0.306661, 0.079560, 0.885334, -0.066827, -0.246407, 0.066492, -0.169827, 0.131789, 0.000000, 0.000000]]
fourier: [[20.281305, 22.872768, 29.898805, 31.224347, 86.645340], [17.825884, 21.456979, 25.586388, 27.830320, 81.527857], [13.944416, 17.549353, 19.494254, 21.872787, 41.332895], [14.736284, 19.245158, 20.068766, 23.590062, 43.488615], [7.405838, 9.556276, 9.917443, 11.667712, 29.287210], [12.568950, 15.584995, 17.540153, 19.814010, 36.539882], [15.761833, 17.999784, 22.749983, 24.213838, 89.427172], [12.660978, 15.682009, 18.434509, 19.376953, 50.556624]]
### 8
mean: [-2.172681]
std: [2.958895]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.584682, 50.451741, 64.639054, 66.302142, 195.541259]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.059002, -0.401068, -0.398309, -0.581513, 0.119802], [-0.234065, 0.077201, 0.203796, 0.476316, -0.382432], [0.103147, -0.258115, -0.121103, -0.056648, 0.58642], [-0.109059, -0.153787, 0.458146, 0.239339, -0.463504], [-0.116453, 0.227298, -0.113751, -0.131276, 0.056011], [0.110445, -0.150303, -0.157243, -0.25498, -0.386022], [0.547047, -0.301843, 0.216516, -0.164451, 0.27506], [0.014324, -0.362924, 0.125764, 0.127358, 0.631271]], "network.0.bias": [-0.478018, 0.266612, 0.003502, -0.015216, 0.050743, -0.339157, 0.024059, 0.172397], "network.2.weight": [[-0.010654, 0.285667, 0.015164, 0.295835, 0.013518, -0.042514, -0.475796, -0.379651], [-0.065518, 0.40141, 0.168648, 0.458019, 0.213324, 0.367901, -0.09295, -0.495341], [-0.052047, 0.225564, -0.177657, 0.016504, 0.43186, -0.192561, -0.322953, -0.319684], [-0.464056, 0.07715, 0.022156, 0.463181, 0.087528, -0.141339, -0.081467, -0.280102], [-0.043884, 0.321773, 0.489049, -0.440498, 0.089833, -0.110188, 0.101899, 0.310506], [-0.174321, -0.213971, -0.071697, -0.051571, -0.146586, 0.14022, -0.062343, 0.409508], [-0.054538, -0.017463, -0.364772, -0.455789, 0.43654, 0.175122, -0.203091, -0.240753], [-0.256163, 0.157088, 0.076566, -0.05391, 0.001335, 0.204826, 0.275335, -0.333141]], "network.2.bias": [0.220829, 0.090396, 0.677589, -0.080458, 0.091914, -0.031174, 0.1061, -0.047403], "network.4.weight": [[-0.157523, -0.278588, -0.32968, -0.205812, 0.577882, 0.668507, -0.42521, 0.26488], [-0.360923, -0.049899, 0.062625, 0.093374, -0.118052, 0.040283, -0.237218, -0.037397], [0.118272, 0.40891, 0.141576, -0.126605, -0.114279, 0.029402, 0.363945, -0.019648], [-0.1004, 0.09866, 0.024059, 0.2889, -0.123856, -0.365538, 0.298045, 0.290705], [-0.379775, -0.241914, -0.207609, 0.323096, 0.291995, 0.190306, 0.184155, 0.237135], [0.241532, 0.482064, 0.527843, 0.389052, -0.083053, -0.02689, -0.021768, -0.392342], [0.370066, 0.31902, -0.12667, 0.271229, -0.067284, -0.297737, 0.132455, -0.366691], [-0.228864, -0.012302, -0.072333, -0.378084, 0.523574, 0.249305, -0.552522, 0.006366]], "network.4.bias": [0.379061, -0.364972, -0.054517, 0.047003, 0.20122, -0.022154, -0.063818, 0.346043], "network.6.weight": [[0.705736, 0.396313, -0.086263, 0.211502, 0.416579, -0.459428, -0.070805, 0.348931], [0.764442, 0.082666, -0.199952, 0.183124, 0.086394, -0.425923, -0.290542, 0.115919], [0.098861, -0.053669, 0.057056, -0.017384, 0.29225, -0.569564, -0.055706, 0.535246], [-0.264545, -0.315926, 0.318228, -0.258876, -0.197787, 0.481374, 0.580619, -0.157083], [-0.220681, -0.384258, 0.083396, 0.328724, -0.232651, 0.407584, -0.133211, 0.149426], [-0.083805, -0.003456, 0.114779, 0.341977, -0.538682, 0.549967, 0.366576, 0.05684], [0.572416, -0.180143, -0.356927, 0.30005, 0.327092, -0.247572, -0.178326, 0.177488], [0.315737, 0.135848, -0.253061, -0.358691, 0.170321, -0.201725, -0.157555, 0.328413]], "network.6.bias": [0.486154, 0.715974, 0.398627, 0.236217, 0.115995, -0.008445, 0.685946, 0.420965], "network.8.weight": [[-0.377231, -0.620981, -0.564427, 0.184167, 0.138236, 0.256849, -0.688779, -0.581332]], "network.8.bias": [0.03654]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6972730159759521, "train_acc": 0.5, "val_loss": 0.6935591697692871, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6819782853126526, "train_acc": 0.565, "val_loss": 0.6784175634384155, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6646318733692169, "train_acc": 0.59, "val_loss": 0.613624632358551, "val_acc": 0.68}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6250344216823578, "train_acc": 0.68, "val_loss": 0.5223885178565979, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5457495450973511, "train_acc": 0.755, "val_loss": 0.47388580441474915, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4846852421760559, "train_acc": 0.775, "val_loss": 0.4748382568359375, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.44279247522354126, "train_acc": 0.795, "val_loss": 0.4697187840938568, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4767366647720337, "train_acc": 0.79, "val_loss": 0.41954171657562256, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.41086775064468384, "train_acc": 0.81, "val_loss": 0.3711472451686859, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3940078616142273, "train_acc": 0.795, "val_loss": 0.3548586964607239, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.36798760294914246, "train_acc": 0.84, "val_loss": 0.35379427671432495, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.38940466940402985, "train_acc": 0.835, "val_loss": 0.3576136529445648, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3644317090511322, "train_acc": 0.83, "val_loss": 0.35298487544059753, "val_acc": 0.86}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6935591697692871, "final_val_loss": 0.613624632358551, "initial_val_acc": 0.5, "final_val_acc": 0.68, "best_val_acc": 0.68}, "improved_stage": {"initial_val_loss": 0.5223885178565979, "final_val_loss": 0.35298487544059753, "initial_val_acc": 0.84, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 8}, "improvement": 0.17999999999999994, "first_improvement_epoch": 2}}
|
144
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.48, "improved_accuracy": 0.86, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1689, "learning_rate": 0.05176348975644472, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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[
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[
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[
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[
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"network.8.weight": [
[
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[
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"network.10.weight": [
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"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [2.115235, 1.141162, 0.238012, 1.146083, 1.823972, 0.472505, -2.000777]
std: [2.502102, 1.879776, 1.888556, 1.649551, 2.352354, 1.439754, 1.300542]
pca: [[0.535996, -0.436752, -0.305557, 0.353277, -0.059541, -0.251156, 0.486992, 0.000000, 0.000000, 0.000000], [0.264934, 0.706229, 0.003257, -0.026521, 0.211721, 0.299947, 0.543638, 0.000000, 0.000000, 0.000000], [-0.427041, -0.092781, -0.286900, 0.323449, -0.486014, 0.583330, 0.213572, 0.000000, 0.000000, 0.000000], [-0.297544, 0.273917, -0.520800, 0.506528, 0.440233, -0.269051, -0.206009, 0.000000, 0.000000, 0.000000], [0.526073, 0.341164, -0.030139, 0.310287, -0.462373, 0.065004, -0.540049, 0.000000, 0.000000, 0.000000], [0.291843, -0.328173, -0.089331, 0.023381, 0.536279, 0.655651, -0.284832, 0.000000, 0.000000, 0.000000], [-0.098466, -0.052527, 0.737694, 0.645350, 0.142233, 0.013617, 0.080381, 0.000000, 0.000000, 0.000000]]
fourier: [[38.927927, 39.338835, 42.536580, 42.941667, 190.371115], [28.469017, 29.572917, 29.820500, 39.714633, 102.704558], [28.097433, 30.281572, 30.477522, 33.495645, 33.785694], [23.821553, 25.125388, 25.382255, 25.530422, 103.147496], [38.026291, 38.091313, 39.309542, 40.509009, 164.157490], [21.817512, 23.879223, 24.978863, 25.417314, 42.525430], [19.988671, 22.196223, 23.140229, 27.169143, 180.069956]]
### 2
mean: [3.341278, -2.007755, -0.772330, 1.299724, 4.602527, 3.368073, -0.641258]
std: [3.560988, 0.994415, 0.507420, 2.138066, 4.395336, 3.354913, 2.873321]
pca: [[0.477646, -0.038188, -0.018694, -0.070837, 0.449623, 0.006078, 0.750220, 0.000000, 0.000000, 0.000000], [-0.077125, 0.710829, 0.275937, -0.031510, 0.567970, 0.159040, -0.252499, 0.000000, 0.000000, 0.000000], [-0.020196, 0.258362, -0.566217, 0.407178, -0.147599, 0.637809, 0.133639, 0.000000, 0.000000, 0.000000], [0.281232, 0.083845, 0.620641, -0.180797, -0.474773, 0.509673, 0.104021, 0.000000, 0.000000, 0.000000], [0.587672, -0.273038, -0.265743, -0.301608, 0.216537, 0.252234, -0.554973, 0.000000, 0.000000, 0.000000], [0.448218, -0.010433, 0.246385, 0.802580, -0.018927, -0.239645, -0.190695, 0.000000, 0.000000, 0.000000], [-0.374365, -0.587217, 0.293919, 0.245777, 0.425214, 0.432494, -0.019356, 0.000000, 0.000000, 0.000000]]
fourier: [[57.955309, 58.060511, 60.645165, 61.758237, 300.715014], [16.101448, 16.528436, 17.388671, 22.802486, 180.697905], [7.945529, 8.656052, 9.109536, 9.697511, 69.509691], [36.231355, 36.436020, 37.208233, 37.853189, 116.975201], [70.611261, 73.053338, 73.560207, 75.220188, 414.227446], [53.574618, 54.831990, 57.900547, 58.365838, 303.126593], [44.214827, 44.882350, 50.653053, 53.619112, 57.713195]]
### 4
mean: [7.247319, -0.942741, 7.216731, -1.804439, -0.814064, -1.116485, -1.216561]
std: [7.614055, 0.857363, 7.237289, 1.781926, 0.313554, 2.471980, 0.835779]
pca: [[0.693168, 0.106059, 0.261678, -0.252537, -0.479277, 0.378283, -0.056697, 0.000000, 0.000000, 0.000000], [-0.076652, -0.131414, 0.428939, -0.434721, 0.654117, 0.419533, 0.002742, 0.000000, 0.000000, 0.000000], [0.658861, 0.117040, -0.206168, 0.394267, 0.560209, -0.098227, 0.175408, 0.000000, 0.000000, 0.000000], [-0.160018, 0.321585, 0.645257, 0.646231, -0.030048, 0.129158, -0.139362, 0.000000, 0.000000, 0.000000], [-0.008469, -0.436214, 0.267156, 0.128113, -0.158364, -0.037118, 0.833908, 0.000000, 0.000000, 0.000000], [-0.221368, 0.660523, -0.309650, -0.062376, -0.016939, 0.441763, 0.468499, 0.000000, 0.000000, 0.000000], [-0.069731, -0.477277, -0.348453, 0.392273, -0.048180, 0.676780, -0.178028, 0.000000, 0.000000, 0.000000]]
fourier: [[123.513168, 124.498727, 130.148609, 131.178490, 652.258699], [13.907493, 13.978234, 14.217114, 14.243115, 84.846732], [116.910873, 117.862020, 123.327106, 124.360023, 649.505749], [27.006342, 27.821805, 29.192728, 30.486122, 162.399534], [4.869780, 4.919133, 4.945434, 5.088465, 73.265749], [38.168656, 38.649038, 41.611746, 45.466558, 100.483679], [13.764118, 14.401938, 14.509675, 17.960955, 109.490476]]
### 6
mean: [8.509068, -6.732006, 3.435708, 10.177561, 7.713991, -3.041733, 10.690450]
std: [8.668737, 7.560715, 3.625024, 10.738049, 7.899051, 2.831131, 11.254136]
pca: [[0.405193, 0.256871, -0.464372, -0.401854, -0.547730, -0.217929, 0.212619, 0.000000, 0.000000, 0.000000], [-0.353269, -0.516145, -0.421266, 0.342078, -0.095966, -0.462488, 0.302008, 0.000000, 0.000000, 0.000000], [0.169387, -0.199947, 0.734577, 0.116754, -0.475965, -0.157845, 0.355861, 0.000000, 0.000000, 0.000000], [0.501960, -0.103166, 0.061051, 0.207969, 0.121167, -0.577331, -0.585168, 0.000000, 0.000000, 0.000000], [0.369204, -0.283684, -0.245772, 0.497640, -0.309224, 0.600328, -0.138379, 0.000000, 0.000000, 0.000000], [-0.131460, 0.732470, -0.020030, 0.635798, -0.108558, -0.141371, 0.098969, 0.000000, 0.000000, 0.000000], [0.526090, 0.000496, -0.052511, 0.112826, 0.584940, 0.002332, 0.604634, 0.000000, 0.000000, 0.000000]]
fourier: [[137.169004, 139.415456, 147.943646, 149.110700, 765.816135], [118.093599, 120.685506, 128.729056, 131.036999, 605.880501], [58.897509, 60.422789, 61.694252, 61.981766, 309.213732], [173.618840, 173.646707, 183.506506, 183.683923, 915.980387], [128.273806, 128.993248, 134.452573, 135.185522, 694.259169], [46.119015, 47.322955, 48.590747, 50.788880, 273.755963], [181.033355, 181.732844, 192.286364, 192.796062, 962.140458]]
### 8
mean: [-4.466332, 25.892265, -3.182772, 15.219169, -2.412080, -4.978028, -6.030077]
std: [4.478937, 26.963226, 3.296826, 15.911613, 2.222542, 5.471323, 6.997878]
pca: [[-0.135340, -0.243124, 0.571873, 0.206588, 0.068553, -0.362966, 0.645301, 0.000000, 0.000000, 0.000000], [0.814871, 0.198548, 0.219629, -0.396064, 0.267932, -0.018411, 0.139050, 0.000000, 0.000000, 0.000000], [-0.099446, 0.659905, -0.359773, -0.117008, -0.283834, -0.446012, 0.363345, 0.000000, 0.000000, 0.000000], [0.480875, 0.021609, -0.241042, 0.837115, -0.075396, -0.002630, 0.061145, 0.000000, 0.000000, 0.000000], [-0.067154, -0.144680, -0.429797, -0.107756, 0.209653, 0.566330, 0.643068, 0.000000, 0.000000, 0.000000], [-0.165351, 0.052361, -0.251733, 0.106874, 0.866374, -0.360438, -0.120854, 0.000000, 0.000000, 0.000000], [-0.211397, 0.664721, 0.434847, 0.250937, 0.206659, 0.467267, -0.018726, 0.000000, 0.000000, 0.000000]]
fourier: [[72.689364, 74.593532, 75.698916, 75.980827, 401.969890], [436.300661, 442.777745, 457.951980, 459.608234, 2330.303969], [50.295049, 52.258107, 56.454765, 57.270531, 286.449504], [257.345670, 260.671562, 270.241372, 271.343139, 1369.725347], [36.182953, 37.291463, 37.671860, 37.804258, 217.087209], [88.339956, 89.410895, 93.005920, 93.475082, 448.022512], [110.852607, 112.039896, 119.053857, 120.493155, 542.706952]]
### 10
mean: [-19.296288]
std: [20.848873]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[335.647450, 337.921364, 354.272444, 356.622468, 1736.665754]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.648561,
0.762829,
0.003714,
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],
[
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],
[
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],
[
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0.179311,
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],
[
0.857323,
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[
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],
[
-0.333634,
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-0.092288
]
],
"network.0.bias": [
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0.382892,
0.42309,
0.479221,
-0.212587,
-0.249597
],
"network.2.weight": [
[
0.642958,
0.292977,
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],
[
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],
[
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],
[
0.496044,
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0.022125,
0.571791,
-0.332854
],
[
0.818699,
0.506043,
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0.105201,
0.75757,
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],
[
0.639669,
0.207834,
0.318938,
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0.683017,
0.216185,
0.230772
],
[
-0.461878,
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0.502672,
-0.123204,
-0.285051,
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]
],
"network.2.bias": [
0.30526,
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0.363188,
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],
"network.4.weight": [
[
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[
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],
[
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[
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[
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[
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[
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"network.6.weight": [
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[
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[
0.585127,
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[
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0.639567,
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0.094878,
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[
0.520672,
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0.539882,
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0.31395
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[
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],
[
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0.358604
]
],
"network.6.bias": [
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0.044955
],
"network.8.weight": [
[
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],
[
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0.810949,
0.021669,
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],
[
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[
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]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [2.115235, 1.141162, 0.238012, 1.146083, 1.823972, 0.472505, -2.000777]
std: [2.502102, 1.879776, 1.888556, 1.649551, 2.352354, 1.439754, 1.300542]
pca: [[0.535996, -0.436752, -0.305557, 0.353277, -0.059541, -0.251156, 0.486992, 0.000000, 0.000000, 0.000000], [0.264934, 0.706229, 0.003257, -0.026521, 0.211721, 0.299947, 0.543638, 0.000000, 0.000000, 0.000000], [-0.427041, -0.092781, -0.286900, 0.323449, -0.486014, 0.583330, 0.213572, 0.000000, 0.000000, 0.000000], [-0.297544, 0.273917, -0.520800, 0.506528, 0.440233, -0.269051, -0.206009, 0.000000, 0.000000, 0.000000], [0.526073, 0.341164, -0.030139, 0.310287, -0.462373, 0.065004, -0.540049, 0.000000, 0.000000, 0.000000], [0.291843, -0.328173, -0.089331, 0.023381, 0.536279, 0.655651, -0.284832, 0.000000, 0.000000, 0.000000], [-0.098466, -0.052527, 0.737694, 0.645350, 0.142233, 0.013617, 0.080381, 0.000000, 0.000000, 0.000000]]
fourier: [[38.927927, 39.338835, 42.536580, 42.941667, 190.371115], [28.469017, 29.572917, 29.820500, 39.714633, 102.704558], [28.097433, 30.281572, 30.477522, 33.495645, 33.785694], [23.821553, 25.125388, 25.382255, 25.530422, 103.147496], [38.026291, 38.091313, 39.309542, 40.509009, 164.157490], [21.817512, 23.879223, 24.978863, 25.417314, 42.525430], [19.988671, 22.196223, 23.140229, 27.169143, 180.069956]]
### 2
mean: [3.341278, -2.007755, -0.772330, 1.299724, 4.602527, 3.368073, -0.641258]
std: [3.560988, 0.994415, 0.507420, 2.138066, 4.395336, 3.354913, 2.873321]
pca: [[0.477646, -0.038188, -0.018694, -0.070837, 0.449623, 0.006078, 0.750220, 0.000000, 0.000000, 0.000000], [-0.077125, 0.710829, 0.275937, -0.031510, 0.567970, 0.159040, -0.252499, 0.000000, 0.000000, 0.000000], [-0.020196, 0.258362, -0.566217, 0.407178, -0.147599, 0.637809, 0.133639, 0.000000, 0.000000, 0.000000], [0.281232, 0.083845, 0.620641, -0.180797, -0.474773, 0.509673, 0.104021, 0.000000, 0.000000, 0.000000], [0.587672, -0.273038, -0.265743, -0.301608, 0.216537, 0.252234, -0.554973, 0.000000, 0.000000, 0.000000], [0.448218, -0.010433, 0.246385, 0.802580, -0.018927, -0.239645, -0.190695, 0.000000, 0.000000, 0.000000], [-0.374365, -0.587217, 0.293919, 0.245777, 0.425214, 0.432494, -0.019356, 0.000000, 0.000000, 0.000000]]
fourier: [[57.955309, 58.060511, 60.645165, 61.758237, 300.715014], [16.101448, 16.528436, 17.388671, 22.802486, 180.697905], [7.945529, 8.656052, 9.109536, 9.697511, 69.509691], [36.231355, 36.436020, 37.208233, 37.853189, 116.975201], [70.611261, 73.053338, 73.560207, 75.220188, 414.227446], [53.574618, 54.831990, 57.900547, 58.365838, 303.126593], [44.214827, 44.882350, 50.653053, 53.619112, 57.713195]]
### 4
mean: [7.247319, -0.942741, 7.216731, -1.804439, -0.814064, -1.116485, -1.216561]
std: [7.614055, 0.857363, 7.237289, 1.781926, 0.313554, 2.471980, 0.835779]
pca: [[0.693168, 0.106059, 0.261678, -0.252537, -0.479277, 0.378283, -0.056697, 0.000000, 0.000000, 0.000000], [-0.076652, -0.131414, 0.428939, -0.434721, 0.654117, 0.419533, 0.002742, 0.000000, 0.000000, 0.000000], [0.658861, 0.117040, -0.206168, 0.394267, 0.560209, -0.098227, 0.175408, 0.000000, 0.000000, 0.000000], [-0.160018, 0.321585, 0.645257, 0.646231, -0.030048, 0.129158, -0.139362, 0.000000, 0.000000, 0.000000], [-0.008469, -0.436214, 0.267156, 0.128113, -0.158364, -0.037118, 0.833908, 0.000000, 0.000000, 0.000000], [-0.221368, 0.660523, -0.309650, -0.062376, -0.016939, 0.441763, 0.468499, 0.000000, 0.000000, 0.000000], [-0.069731, -0.477277, -0.348453, 0.392273, -0.048180, 0.676780, -0.178028, 0.000000, 0.000000, 0.000000]]
fourier: [[123.513168, 124.498727, 130.148609, 131.178490, 652.258699], [13.907493, 13.978234, 14.217114, 14.243115, 84.846732], [116.910873, 117.862020, 123.327106, 124.360023, 649.505749], [27.006342, 27.821805, 29.192728, 30.486122, 162.399534], [4.869780, 4.919133, 4.945434, 5.088465, 73.265749], [38.168656, 38.649038, 41.611746, 45.466558, 100.483679], [13.764118, 14.401938, 14.509675, 17.960955, 109.490476]]
### 6
mean: [8.509068, -6.732006, 3.435708, 10.177561, 7.713991, -3.041733, 10.690450]
std: [8.668737, 7.560715, 3.625024, 10.738049, 7.899051, 2.831131, 11.254136]
pca: [[0.405193, 0.256871, -0.464372, -0.401854, -0.547730, -0.217929, 0.212619, 0.000000, 0.000000, 0.000000], [-0.353269, -0.516145, -0.421266, 0.342078, -0.095966, -0.462488, 0.302008, 0.000000, 0.000000, 0.000000], [0.169387, -0.199947, 0.734577, 0.116754, -0.475965, -0.157845, 0.355861, 0.000000, 0.000000, 0.000000], [0.501960, -0.103166, 0.061051, 0.207969, 0.121167, -0.577331, -0.585168, 0.000000, 0.000000, 0.000000], [0.369204, -0.283684, -0.245772, 0.497640, -0.309224, 0.600328, -0.138379, 0.000000, 0.000000, 0.000000], [-0.131460, 0.732470, -0.020030, 0.635798, -0.108558, -0.141371, 0.098969, 0.000000, 0.000000, 0.000000], [0.526090, 0.000496, -0.052511, 0.112826, 0.584940, 0.002332, 0.604634, 0.000000, 0.000000, 0.000000]]
fourier: [[137.169004, 139.415456, 147.943646, 149.110700, 765.816135], [118.093599, 120.685506, 128.729056, 131.036999, 605.880501], [58.897509, 60.422789, 61.694252, 61.981766, 309.213732], [173.618840, 173.646707, 183.506506, 183.683923, 915.980387], [128.273806, 128.993248, 134.452573, 135.185522, 694.259169], [46.119015, 47.322955, 48.590747, 50.788880, 273.755963], [181.033355, 181.732844, 192.286364, 192.796062, 962.140458]]
### 8
mean: [-4.466332, 25.892265, -3.182772, 15.219169, -2.412080, -4.978028, -6.030077]
std: [4.478937, 26.963226, 3.296826, 15.911613, 2.222542, 5.471323, 6.997878]
pca: [[-0.135340, -0.243124, 0.571873, 0.206588, 0.068553, -0.362966, 0.645301, 0.000000, 0.000000, 0.000000], [0.814871, 0.198548, 0.219629, -0.396064, 0.267932, -0.018411, 0.139050, 0.000000, 0.000000, 0.000000], [-0.099446, 0.659905, -0.359773, -0.117008, -0.283834, -0.446012, 0.363345, 0.000000, 0.000000, 0.000000], [0.480875, 0.021609, -0.241042, 0.837115, -0.075396, -0.002630, 0.061145, 0.000000, 0.000000, 0.000000], [-0.067154, -0.144680, -0.429797, -0.107756, 0.209653, 0.566330, 0.643068, 0.000000, 0.000000, 0.000000], [-0.165351, 0.052361, -0.251733, 0.106874, 0.866374, -0.360438, -0.120854, 0.000000, 0.000000, 0.000000], [-0.211397, 0.664721, 0.434847, 0.250937, 0.206659, 0.467267, -0.018726, 0.000000, 0.000000, 0.000000]]
fourier: [[72.689364, 74.593532, 75.698916, 75.980827, 401.969890], [436.300661, 442.777745, 457.951980, 459.608234, 2330.303969], [50.295049, 52.258107, 56.454765, 57.270531, 286.449504], [257.345670, 260.671562, 270.241372, 271.343139, 1369.725347], [36.182953, 37.291463, 37.671860, 37.804258, 217.087209], [88.339956, 89.410895, 93.005920, 93.475082, 448.022512], [110.852607, 112.039896, 119.053857, 120.493155, 542.706952]]
### 10
mean: [-19.296288]
std: [20.848873]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[335.647450, 337.921364, 354.272444, 356.622468, 1736.665754]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
mountain_pattern
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.648561, 0.762829, 0.003714, -0.498916, 0.513075], [0.671965, 0.152211, -0.193384, 0.389771, -0.684671], [-0.823411, -0.315385, 0.337005, 0.263531, 0.150338], [-0.477413, -0.204248, 0.179311, 0.633504, -0.035499], [0.857323, 0.637817, -0.120138, -0.077558, -0.378739], [0.399635, 0.35205, -0.116737, -0.328452, 0.400907], [-0.333634, 0.196183, -0.371276, -0.374971, -0.092288]], "network.0.bias": [0.34744, 0.440119, 0.382892, 0.42309, 0.479221, -0.212587, -0.249597], "network.2.weight": [[0.642958, 0.292977, -0.291697, -0.047374, 0.618017, 0.357717, 0.334838], [-0.241176, -0.238843, -0.352898, -0.358685, -0.255769, 0.278712, -0.189732], [-0.206774, 0.002441, -0.046233, -0.334068, 0.133477, -0.248686, 0.223078], [0.496044, 0.291712, -0.03357, -0.126259, 0.022125, 0.571791, -0.332854], [0.818699, 0.506043, -0.384116, 0.105201, 0.75757, 0.339215, 0.318664], [0.639669, 0.207834, 0.318938, -0.371568, 0.683017, 0.216185, 0.230772], [-0.461878, -0.499, 0.667811, 0.502672, -0.123204, -0.285051, -0.16805]], "network.2.bias": [0.30526, -0.039147, 0.136926, -0.53994, 0.476249, 0.363188, 0.304782], "network.4.weight": [[0.608903, -0.286345, -0.030626, 0.398609, 0.543952, 0.606966, -0.431628], [-0.490072, 0.341047, -0.232652, 0.254319, 0.022645, 0.066078, -0.119821], [0.472534, 0.331099, -0.186111, 0.187687, 0.74649, 0.507244, -0.37996], [-0.255662, -0.119961, 0.287289, 0.527443, -0.092803, -0.394536, 0.269711], [0.168587, -0.152848, -0.120407, 0.083315, -0.111156, -0.170154, -0.322522], [-0.354226, 0.017047, 0.507545, -0.148752, -0.095272, -0.01833, 0.655194], [0.31692, 0.172851, 0.008102, -0.351291, -0.133425, -0.227952, -0.236945]], "network.4.bias": [0.40699, 0.098146, 0.504425, -0.162314, -0.168058, 0.285497, -0.205979], "network.6.weight": [[0.354398, 0.035629, 0.800295, -0.339423, -0.230212, -0.516052, -0.065829], [-0.575582, 0.167771, -0.406109, 0.28051, 0.0497, 0.676231, 0.153386], [0.585127, -0.145686, -0.114743, -0.021869, 0.206384, -0.04375, -0.356007], [0.787485, 0.238903, 0.639567, -0.301487, 0.094878, -0.380823, 0.115044], [0.520672, -0.120824, 0.539882, -0.271232, -0.019592, -0.120936, 0.31395], [-0.350664, 0.2057, -0.040892, -0.085931, -0.213377, -0.36557, 0.322885], [0.758569, -0.166948, 0.736814, -0.377698, 0.105471, -0.462239, 0.358604]], "network.6.bias": [0.36696, 0.104691, 0.025737, -0.011536, 0.079376, -0.039184, 0.044955], "network.8.weight": [[-0.008868, -0.087041, 0.315661, -0.059345, -0.094507, 0.159644, -0.374094], [0.688808, -0.331768, 0.400974, 0.49929, 0.810949, 0.021669, 0.699642], [-0.157277, 0.494562, -0.278024, 0.306035, -0.069045, 0.037775, -0.320037], [0.363928, -0.259462, -0.093154, 0.508553, 0.519224, 0.295444, 0.318616], [-0.033441, -0.044317, -0.2978, 0.007291, -0.089232, -0.004198, -0.021329], [-0.099901, 0.150388, -0.280033, -0.041415, -0.027666, -0.132022, -0.260916], [-0.417827, 0.526625, -0.00861, -0.136496, -0.011543, 0.097155, -0.155702]], "network.8.bias": [-0.095248, -0.260481, -0.110254, -0.195366, -0.24857, 0.266663, 0.662467], "network.10.weight": [[0.076748, -0.713683, 0.245151, -0.094624, 0.14653, 0.20637, 0.823285]], "network.10.bias": [0.522136]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6774002313613892, "train_acc": 0.575, "val_loss": 0.7133718132972717, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6489166617393494, "train_acc": 0.575, "val_loss": 0.6417175531387329, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5945841670036316, "train_acc": 0.505, "val_loss": 0.5958952307701111, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.49507227540016174, "train_acc": 0.815, "val_loss": 0.5228038430213928, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4277265667915344, "train_acc": 0.845, "val_loss": 0.5296661853790283, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.36256881058216095, "train_acc": 0.87, "val_loss": 0.4836096465587616, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2909860610961914, "train_acc": 0.885, "val_loss": 0.6641072034835815, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3528168722987175, "train_acc": 0.9, "val_loss": 0.7824249267578125, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.32261059433221817, "train_acc": 0.905, "val_loss": 0.6600169539451599, "val_acc": 0.84}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.7133718132972717, "final_val_loss": 0.6417175531387329, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5958952307701111, "final_val_loss": 0.6600169539451599, "initial_val_acc": 0.66, "final_val_acc": 0.84, "best_val_acc": 0.86, "best_epoch": 7}, "improvement": 0.38, "first_improvement_epoch": 1}}
|
145
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.42, "improved_accuracy": 0.66, "improvement": 0.24000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6085, "learning_rate": 0.0875077919852199, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "vowel_consonant", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["vowel_consonant"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.233206,
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0.352327,
-0.256614,
0.288477
],
[
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0.199895,
0.00971
],
[
-0.201292,
0.678202,
0.332732,
0.477358,
0.054458
],
[
0.064953,
0.2719,
0.213499,
0.351042,
0.122421
],
[
-0.651344,
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-0.336905,
-0.171121,
0.039704
],
[
0.667067,
0.003267,
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-0.303618
]
],
"network.0.bias": [
0.318595,
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],
"network.2.weight": [
[
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[
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[
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],
[
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],
[
0.740745,
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0.253703
],
[
0.91223,
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0.285777
]
],
"network.2.bias": [
0.17229,
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0.61223
],
"network.4.weight": [
[
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[
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[
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],
[
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0.116888
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[
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[
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],
"network.4.bias": [
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],
"network.6.weight": [
[
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[
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],
[
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[
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[
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[
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],
"network.6.bias": [
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],
"network.8.weight": [
[
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],
[
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],
[
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],
[
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0.517269,
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],
[
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],
[
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]
],
"network.8.bias": [
0.145309,
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0.113786,
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],
"network.10.weight": [
[
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]
],
"network.10.bias": [
0.061815
]
}
## Activation Signature
### 0
mean: [-0.426977, 0.632363, 2.774866, 2.176285, -2.885746, 1.617108]
std: [1.944706, 0.991500, 1.982144, 1.241509, 2.273511, 1.491259]
pca: [[0.369903, 0.595146, 0.618933, -0.056689, 0.060956, 0.344913, 0.000000, 0.000000, 0.000000, 0.000000], [-0.221280, -0.287471, -0.076477, -0.312423, 0.473072, 0.735623, 0.000000, 0.000000, 0.000000, 0.000000], [-0.537000, -0.250055, 0.509125, 0.396357, -0.422208, 0.233532, 0.000000, 0.000000, 0.000000, 0.000000], [-0.337217, 0.001455, 0.406465, 0.048366, 0.695229, -0.485165, 0.000000, 0.000000, 0.000000, 0.000000], [0.592757, -0.493601, 0.103224, 0.572322, 0.245251, 0.081493, 0.000000, 0.000000, 0.000000, 0.000000], [-0.246501, 0.506941, -0.419518, 0.642018, 0.225246, 0.208158, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.639886, 35.533333, 38.427914, 40.063121, 42.424592], [15.762799, 17.755534, 17.968739, 19.541900, 56.912697], [31.397460, 31.606739, 35.092044, 37.096998, 249.737963], [19.621337, 21.568454, 23.715409, 23.822958, 195.865660], [34.493828, 38.142931, 41.143045, 42.840372, 259.717210], [23.330963, 25.883349, 29.459538, 29.861635, 145.539679]]
### 2
mean: [-0.058260, -0.639777, 0.760763, -1.411900, -1.572479, -0.556738]
std: [1.155607, 0.454476, 1.331387, 0.537953, 1.916257, 2.046242]
pca: [[0.335836, -0.367129, 0.706499, 0.190680, 0.088141, -0.457342, 0.000000, 0.000000, 0.000000, 0.000000], [-0.010926, 0.568137, 0.097379, 0.808443, 0.109783, 0.044560, 0.000000, 0.000000, 0.000000, 0.000000], [-0.401992, -0.216427, -0.104241, 0.045290, 0.877331, -0.094520, 0.000000, 0.000000, 0.000000, 0.000000], [0.068089, 0.610507, 0.487235, -0.533192, 0.282819, 0.144797, 0.000000, 0.000000, 0.000000, 0.000000], [0.579075, 0.257101, -0.491163, -0.113178, 0.217505, -0.545173, 0.000000, 0.000000, 0.000000, 0.000000], [0.620914, -0.238276, -0.043265, 0.104436, 0.288398, 0.679514, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.607456, 17.353031, 19.633905, 19.966788, 22.664728], [7.313125, 7.348758, 8.511260, 8.843009, 57.579907], [20.097733, 21.364771, 22.120217, 25.156965, 68.468622], [8.725033, 8.864405, 9.067873, 9.300347, 127.071036], [28.124441, 30.413431, 32.633418, 38.579430, 141.523127], [33.399496, 33.726729, 35.494941, 37.874931, 50.106431]]
### 4
mean: [0.141443, -0.193462, 0.090456, 0.414169, -0.378286, -0.046633]
std: [0.365515, 1.020867, 0.737413, 0.733476, 0.746686, 1.301487]
pca: [[-0.154550, 0.419811, 0.215360, -0.241657, 0.548355, -0.628014, 0.000000, 0.000000, 0.000000, 0.000000], [-0.488782, 0.239814, -0.223560, -0.119218, 0.461646, 0.652896, 0.000000, 0.000000, 0.000000, 0.000000], [-0.336174, 0.552793, -0.468788, 0.303622, -0.464783, -0.231160, 0.000000, 0.000000, 0.000000, 0.000000], [0.349540, -0.145829, -0.511898, 0.559066, 0.516518, -0.123169, 0.000000, 0.000000, 0.000000, 0.000000], [-0.356127, -0.038044, 0.596285, 0.714955, 0.057277, 0.041590, 0.000000, 0.000000, 0.000000, 0.000000], [0.612526, 0.661781, 0.257457, 0.107177, -0.009797, 0.330137, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.202935, 6.216680, 6.687459, 7.081800, 12.729847], [15.093218, 16.582578, 17.173256, 17.411589, 20.048950], [10.032519, 11.717302, 11.730919, 12.404802, 14.692399], [10.470212, 12.570834, 13.185904, 14.193798, 37.275174], [11.986460, 12.478727, 13.440584, 14.361613, 34.045758], [17.622001, 20.017636, 21.605707, 22.965137, 23.100465]]
### 6
mean: [0.183264, -0.263969, -0.439258, 0.507440, 0.395037, -0.312850]
std: [0.065996, 1.067818, 0.685288, 0.605558, 0.369850, 0.167081]
pca: [[0.010150, 0.059576, 0.769541, 0.551708, 0.195358, 0.248211, 0.000000, 0.000000, 0.000000, 0.000000], [0.732612, -0.225318, 0.073491, -0.223616, -0.290699, 0.522111, 0.000000, 0.000000, 0.000000, 0.000000], [0.467545, 0.607879, -0.115598, -0.098478, 0.619035, -0.074957, 0.000000, 0.000000, 0.000000, 0.000000], [-0.415156, -0.183835, -0.062159, -0.352861, 0.504010, 0.641443, 0.000000, 0.000000, 0.000000, 0.000000], [-0.247167, 0.631510, 0.353052, -0.465487, -0.425414, 0.133428, 0.000000, 0.000000, 0.000000, 0.000000], [0.105507, -0.378901, 0.510425, -0.542888, 0.243149, -0.480541, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[0.885714, 0.896999, 0.914543, 1.326084, 16.493783], [15.091922, 17.672892, 18.116622, 20.586813, 23.757172], [9.714479, 11.324860, 12.287244, 13.495150, 39.533177], [8.647395, 9.767530, 10.499604, 11.792761, 45.669626], [5.226242, 5.646655, 5.733545, 6.390713, 35.553296], [2.390079, 2.867871, 3.038783, 3.213561, 28.156510]]
### 8
mean: [0.349467, 0.087296, -0.584069, 0.403640, -0.193533, -0.089834]
std: [0.257704, 0.079850, 0.678119, 0.488834, 0.232288, 0.116852]
pca: [[-0.283388, -0.078292, 0.209552, 0.652406, 0.301134, -0.594419, 0.000000, 0.000000, 0.000000, 0.000000], [0.040391, -0.488344, 0.831684, -0.195149, 0.069191, 0.159125, 0.000000, 0.000000, 0.000000, 0.000000], [0.746222, 0.321546, 0.124350, -0.107831, 0.518195, -0.210106, 0.000000, 0.000000, 0.000000, 0.000000], [-0.533838, 0.564731, 0.262510, -0.508654, 0.168244, -0.200373, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249423, -0.423121, -0.381427, -0.226658, 0.731847, 0.162163, 0.000000, 0.000000, 0.000000, 0.000000], [-0.118394, 0.392488, 0.185820, 0.463199, 0.268513, 0.714671, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.599554, 4.206414, 4.462983, 4.883265, 31.452028], [1.229890, 1.374683, 1.385136, 1.443533, 7.856633], [9.554446, 10.520205, 11.307784, 12.690782, 52.566199], [7.906182, 7.937509, 8.202097, 9.047254, 36.327606], [3.502702, 3.531144, 3.739365, 4.243149, 17.417996], [1.930012, 1.978595, 2.044303, 2.123347, 8.085099]]
### 10
mean: [-0.040600]
std: [0.126518]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.934819, 2.021568, 2.113891, 2.327499, 3.653986]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
vowel_consonant
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.233206,
-0.865564,
0.352327,
-0.256614,
0.288477
],
[
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-0.146745,
0.199895,
0.00971
],
[
-0.201292,
0.678202,
0.332732,
0.477358,
0.054458
],
[
0.064953,
0.2719,
0.213499,
0.351042,
0.122421
],
[
-0.651344,
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-0.171121,
0.039704
],
[
0.667067,
0.003267,
0.191005,
0.068428,
-0.303618
]
],
"network.0.bias": [
0.318595,
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0.003655,
0.250241,
-0.062423,
0.609763
],
"network.2.weight": [
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[
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0.563877,
0.122076
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[
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0.774239,
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[
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0.205695
],
[
0.740745,
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0.253703
],
[
0.91223,
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0.285777
]
],
"network.2.bias": [
0.17229,
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0.087344,
0.61223
],
"network.4.weight": [
[
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],
[
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],
[
0.170889,
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],
[
0.661839,
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0.101289,
0.116888
],
[
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0.153907,
0.036346,
0.369148,
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[
0.01941,
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0.425532,
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],
"network.4.bias": [
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],
"network.6.weight": [
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[
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[
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[
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[
0.442696,
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0.432167
],
[
0.018212,
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0.042572,
0.060187
]
],
"network.6.bias": [
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],
"network.8.weight": [
[
0.552798,
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],
[
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],
[
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[
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],
[
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],
[
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]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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]
],
"network.10.bias": [
0.061815
]
}
## Activation Signature
### 0
mean: [-0.426977, 0.632363, 2.774866, 2.176285, -2.885746, 1.617108]
std: [1.944706, 0.991500, 1.982144, 1.241509, 2.273511, 1.491259]
pca: [[0.369903, 0.595146, 0.618933, -0.056689, 0.060956, 0.344913, 0.000000, 0.000000, 0.000000, 0.000000], [-0.221280, -0.287471, -0.076477, -0.312423, 0.473072, 0.735623, 0.000000, 0.000000, 0.000000, 0.000000], [-0.537000, -0.250055, 0.509125, 0.396357, -0.422208, 0.233532, 0.000000, 0.000000, 0.000000, 0.000000], [-0.337217, 0.001455, 0.406465, 0.048366, 0.695229, -0.485165, 0.000000, 0.000000, 0.000000, 0.000000], [0.592757, -0.493601, 0.103224, 0.572322, 0.245251, 0.081493, 0.000000, 0.000000, 0.000000, 0.000000], [-0.246501, 0.506941, -0.419518, 0.642018, 0.225246, 0.208158, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.639886, 35.533333, 38.427914, 40.063121, 42.424592], [15.762799, 17.755534, 17.968739, 19.541900, 56.912697], [31.397460, 31.606739, 35.092044, 37.096998, 249.737963], [19.621337, 21.568454, 23.715409, 23.822958, 195.865660], [34.493828, 38.142931, 41.143045, 42.840372, 259.717210], [23.330963, 25.883349, 29.459538, 29.861635, 145.539679]]
### 2
mean: [-0.058260, -0.639777, 0.760763, -1.411900, -1.572479, -0.556738]
std: [1.155607, 0.454476, 1.331387, 0.537953, 1.916257, 2.046242]
pca: [[0.335836, -0.367129, 0.706499, 0.190680, 0.088141, -0.457342, 0.000000, 0.000000, 0.000000, 0.000000], [-0.010926, 0.568137, 0.097379, 0.808443, 0.109783, 0.044560, 0.000000, 0.000000, 0.000000, 0.000000], [-0.401992, -0.216427, -0.104241, 0.045290, 0.877331, -0.094520, 0.000000, 0.000000, 0.000000, 0.000000], [0.068089, 0.610507, 0.487235, -0.533192, 0.282819, 0.144797, 0.000000, 0.000000, 0.000000, 0.000000], [0.579075, 0.257101, -0.491163, -0.113178, 0.217505, -0.545173, 0.000000, 0.000000, 0.000000, 0.000000], [0.620914, -0.238276, -0.043265, 0.104436, 0.288398, 0.679514, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.607456, 17.353031, 19.633905, 19.966788, 22.664728], [7.313125, 7.348758, 8.511260, 8.843009, 57.579907], [20.097733, 21.364771, 22.120217, 25.156965, 68.468622], [8.725033, 8.864405, 9.067873, 9.300347, 127.071036], [28.124441, 30.413431, 32.633418, 38.579430, 141.523127], [33.399496, 33.726729, 35.494941, 37.874931, 50.106431]]
### 4
mean: [0.141443, -0.193462, 0.090456, 0.414169, -0.378286, -0.046633]
std: [0.365515, 1.020867, 0.737413, 0.733476, 0.746686, 1.301487]
pca: [[-0.154550, 0.419811, 0.215360, -0.241657, 0.548355, -0.628014, 0.000000, 0.000000, 0.000000, 0.000000], [-0.488782, 0.239814, -0.223560, -0.119218, 0.461646, 0.652896, 0.000000, 0.000000, 0.000000, 0.000000], [-0.336174, 0.552793, -0.468788, 0.303622, -0.464783, -0.231160, 0.000000, 0.000000, 0.000000, 0.000000], [0.349540, -0.145829, -0.511898, 0.559066, 0.516518, -0.123169, 0.000000, 0.000000, 0.000000, 0.000000], [-0.356127, -0.038044, 0.596285, 0.714955, 0.057277, 0.041590, 0.000000, 0.000000, 0.000000, 0.000000], [0.612526, 0.661781, 0.257457, 0.107177, -0.009797, 0.330137, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.202935, 6.216680, 6.687459, 7.081800, 12.729847], [15.093218, 16.582578, 17.173256, 17.411589, 20.048950], [10.032519, 11.717302, 11.730919, 12.404802, 14.692399], [10.470212, 12.570834, 13.185904, 14.193798, 37.275174], [11.986460, 12.478727, 13.440584, 14.361613, 34.045758], [17.622001, 20.017636, 21.605707, 22.965137, 23.100465]]
### 6
mean: [0.183264, -0.263969, -0.439258, 0.507440, 0.395037, -0.312850]
std: [0.065996, 1.067818, 0.685288, 0.605558, 0.369850, 0.167081]
pca: [[0.010150, 0.059576, 0.769541, 0.551708, 0.195358, 0.248211, 0.000000, 0.000000, 0.000000, 0.000000], [0.732612, -0.225318, 0.073491, -0.223616, -0.290699, 0.522111, 0.000000, 0.000000, 0.000000, 0.000000], [0.467545, 0.607879, -0.115598, -0.098478, 0.619035, -0.074957, 0.000000, 0.000000, 0.000000, 0.000000], [-0.415156, -0.183835, -0.062159, -0.352861, 0.504010, 0.641443, 0.000000, 0.000000, 0.000000, 0.000000], [-0.247167, 0.631510, 0.353052, -0.465487, -0.425414, 0.133428, 0.000000, 0.000000, 0.000000, 0.000000], [0.105507, -0.378901, 0.510425, -0.542888, 0.243149, -0.480541, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[0.885714, 0.896999, 0.914543, 1.326084, 16.493783], [15.091922, 17.672892, 18.116622, 20.586813, 23.757172], [9.714479, 11.324860, 12.287244, 13.495150, 39.533177], [8.647395, 9.767530, 10.499604, 11.792761, 45.669626], [5.226242, 5.646655, 5.733545, 6.390713, 35.553296], [2.390079, 2.867871, 3.038783, 3.213561, 28.156510]]
### 8
mean: [0.349467, 0.087296, -0.584069, 0.403640, -0.193533, -0.089834]
std: [0.257704, 0.079850, 0.678119, 0.488834, 0.232288, 0.116852]
pca: [[-0.283388, -0.078292, 0.209552, 0.652406, 0.301134, -0.594419, 0.000000, 0.000000, 0.000000, 0.000000], [0.040391, -0.488344, 0.831684, -0.195149, 0.069191, 0.159125, 0.000000, 0.000000, 0.000000, 0.000000], [0.746222, 0.321546, 0.124350, -0.107831, 0.518195, -0.210106, 0.000000, 0.000000, 0.000000, 0.000000], [-0.533838, 0.564731, 0.262510, -0.508654, 0.168244, -0.200373, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249423, -0.423121, -0.381427, -0.226658, 0.731847, 0.162163, 0.000000, 0.000000, 0.000000, 0.000000], [-0.118394, 0.392488, 0.185820, 0.463199, 0.268513, 0.714671, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.599554, 4.206414, 4.462983, 4.883265, 31.452028], [1.229890, 1.374683, 1.385136, 1.443533, 7.856633], [9.554446, 10.520205, 11.307784, 12.690782, 52.566199], [7.906182, 7.937509, 8.202097, 9.047254, 36.327606], [3.502702, 3.531144, 3.739365, 4.243149, 17.417996], [1.930012, 1.978595, 2.044303, 2.123347, 8.085099]]
### 10
mean: [-0.040600]
std: [0.126518]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.934819, 2.021568, 2.113891, 2.327499, 3.653986]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
vowel_consonant
|
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"std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.233206, -0.865564, 0.352327, -0.256614, 0.288477], [-0.119202, 0.429184, -0.146745, 0.199895, 0.00971], [-0.201292, 0.678202, 0.332732, 0.477358, 0.054458], [0.064953, 0.2719, 0.213499, 0.351042, 0.122421], [-0.651344, -0.543849, -0.336905, -0.171121, 0.039704], [0.667067, 0.003267, 0.191005, 0.068428, -0.303618]], "network.0.bias": [0.318595, -0.135471, 0.003655, 0.250241, -0.062423, 0.609763], "network.2.weight": [[0.513289, -0.479383, -0.239658, 0.055083, 0.008232, 0.27182], [-0.270389, -0.024635, 0.310102, -0.708506, 0.563877, 0.122076], [-0.405261, 0.296631, 0.250597, 0.378685, 0.774239, -0.253369], [-0.108727, 0.54792, -0.105179, -0.528761, 0.365198, 0.205695], [0.740745, -0.541635, -0.158267, -0.746671, -0.636501, 0.253703], [0.91223, -0.830769, -0.277612, -0.315376, -0.08535, 0.285777]], "network.2.bias": [0.17229, -0.03251, -0.336995, -0.622704, 0.087344, 0.61223], "network.4.weight": [[-0.311842, 0.368256, -0.090809, 0.083992, -0.093146, -0.108025], [-0.104524, 0.097885, 0.179623, -0.048863, -0.421078, -0.577992], [0.170889, -0.166548, -0.030997, 0.144782, -0.343844, -0.632729], [0.661839, -0.308807, -0.106892, -0.194625, 0.101289, 0.116888], [-0.435945, 0.646303, 0.153907, 0.036346, 0.369148, -0.477745], [0.01941, -0.196725, -0.603374, -0.106396, 0.425532, 0.607994]], "network.4.bias": [0.429756, 0.007362, 0.400681, 0.193024, -0.135335, 0.108211], "network.6.weight": [[-0.093548, -0.009206, 0.391536, 0.191306, 0.146747, -0.117464], [0.020574, 0.349756, -0.514527, -0.628443, 0.497541, -0.651037], [0.630691, -0.226389, -0.191661, -0.298866, 0.3545, -0.46593], [0.110154, 0.217203, -0.022957, 0.259714, -0.483573, 0.447816], [0.442696, -0.140786, 0.562682, 0.009148, -0.571772, 0.432167], [0.018212, 0.403214, -0.049634, -0.250163, 0.042572, 0.060187]], "network.6.bias": [0.100948, 0.248924, -0.186238, 0.219219, 0.092329, -0.275306], "network.8.weight": [[0.552798, -0.230607, -0.124173, 0.417253, -0.022076, 0.096078], [0.13176, 0.322252, -0.160107, 0.321114, -0.556844, 0.268939], [-0.48956, 0.458767, -0.251095, -0.761239, -0.527852, -0.12436], [-0.053029, -0.697694, -0.263023, 0.517269, 0.297168, -0.266387], [0.077716, -0.055753, 0.744123, 0.217302, 0.257562, -0.090873], [0.277016, -0.464859, -0.183304, 0.186318, -0.085646, 0.454022]], "network.8.bias": [0.145309, 0.098868, -0.137303, 0.113786, -0.312016, -0.102736], "network.10.weight": [[-0.004883, -0.011196, 0.295946, -0.235613, -0.123646, 0.006747]], "network.10.bias": [0.061815]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6794145107269287, "train_acc": 0.505, "val_loss": 0.7964103817939758, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6781354546546936, "train_acc": 0.595, "val_loss": 0.738584578037262, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6929599344730377, "train_acc": 0.52, "val_loss": 0.6605300307273865, "val_acc": 0.64}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6919108629226685, "train_acc": 0.61, "val_loss": 0.6104958057403564, "val_acc": 0.62}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.723883330821991, "train_acc": 0.555, "val_loss": 0.6380742788314819, "val_acc": 0.64}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6812112033367157, "train_acc": 0.55, "val_loss": 0.6687572002410889, "val_acc": 0.66}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.6705556213855743, "train_acc": 0.675, "val_loss": 0.6745062470436096, "val_acc": 0.5}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.7964103817939758, "final_val_loss": 0.738584578037262, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.6605300307273865, "final_val_loss": 0.6745062470436096, "initial_val_acc": 0.64, "final_val_acc": 0.5, "best_val_acc": 0.66, "best_epoch": 5}, "improvement": 0.24000000000000005, "first_improvement_epoch": 1}}
|
146
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.56, "improved_accuracy": 0.82, "improvement": 0.2599999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1582, "learning_rate": 0.09238521803098516, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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[
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}
## Activation Signature
### 0
mean: [1.650894, 0.930034, -0.724220, -1.437264, 1.913685, -2.347101]
std: [2.936398, 2.622796, 1.193930, 1.417646, 2.831774, 1.491989]
pca: [[0.579036, 0.047492, -0.042641, 0.794634, -0.130884, 0.109858, 0.000000, 0.000000, 0.000000, 0.000000], [0.505042, 0.178718, 0.631064, -0.408440, -0.384608, 0.001874, 0.000000, 0.000000, 0.000000, 0.000000], [0.224757, 0.187850, -0.174879, -0.241339, 0.355851, 0.835907, 0.000000, 0.000000, 0.000000, 0.000000], [-0.173940, 0.594363, 0.465758, 0.231813, 0.565024, -0.162966, 0.000000, 0.000000, 0.000000, 0.000000], [0.555483, -0.282837, -0.166486, -0.241112, 0.578753, -0.436618, 0.000000, 0.000000, 0.000000, 0.000000], [0.142540, 0.705162, -0.569832, -0.177809, -0.232615, -0.268318, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.333343, 53.643384, 54.200136, 54.340006, 148.580450], [43.412260, 43.732683, 53.312374, 53.350587, 83.703041], [18.514385, 20.300010, 20.614572, 22.333689, 65.179797], [22.704821, 23.236250, 23.556614, 27.631654, 129.353778], [43.014008, 45.327194, 48.682713, 54.330558, 172.231630], [24.130368, 24.179105, 25.645230, 26.065708, 211.239070]]
### 2
mean: [4.287950, 4.367804, -1.094843, 2.184366, -0.536161, 0.132605]
std: [6.478728, 5.761654, 0.427482, 3.377348, 1.198059, 0.686390]
pca: [[0.691088, 0.164452, -0.306956, -0.338977, -0.519764, -0.126771, 0.000000, 0.000000, 0.000000, 0.000000], [0.613906, -0.341269, 0.457790, -0.149614, 0.520489, 0.061560, 0.000000, 0.000000, 0.000000, 0.000000], [-0.041227, 0.126911, 0.265797, -0.194078, -0.263797, 0.896823, 0.000000, 0.000000, 0.000000, 0.000000], [0.358404, 0.349888, -0.343512, 0.685403, 0.270735, 0.296733, 0.000000, 0.000000, 0.000000, 0.000000], [-0.122133, 0.333839, -0.436084, -0.595858, 0.561884, 0.112717, 0.000000, 0.000000, 0.000000, 0.000000], [0.021136, 0.778790, 0.563373, -0.014864, 0.018331, -0.274031, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[111.223685, 111.248748, 111.825743, 117.928303, 385.915479], [98.873033, 100.360142, 104.227182, 111.890543, 393.102405], [7.041529, 7.190405, 7.599229, 8.911930, 98.535823], [57.319601, 58.500077, 58.508761, 59.579807, 196.592921], [20.156966, 22.246118, 22.833743, 24.982772, 48.254498], [10.518355, 10.921080, 11.934491, 13.001555, 14.099194]]
### 4
mean: [4.560569, 5.068106, 5.496325, 4.963350, -9.038265, -0.855408]
std: [7.104488, 7.249600, 8.549047, 7.424942, 11.407709, 2.582422]
pca: [[-0.370520, 0.190927, -0.067394, 0.307782, 0.701726, 0.484325, 0.000000, 0.000000, 0.000000, 0.000000], [-0.378107, 0.121239, 0.049520, 0.719057, -0.168806, -0.542536, 0.000000, 0.000000, 0.000000, 0.000000], [-0.445763, -0.241183, 0.610191, -0.414942, 0.298967, -0.330508, 0.000000, 0.000000, 0.000000, 0.000000], [-0.387077, -0.366282, 0.253123, 0.148775, -0.544284, 0.577545, 0.000000, 0.000000, 0.000000, 0.000000], [0.594847, -0.394824, 0.486052, 0.439753, 0.241261, 0.049336, 0.000000, 0.000000, 0.000000, 0.000000], [0.131811, 0.775003, 0.565999, -0.023096, -0.187757, 0.160795, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[122.401381, 123.262305, 123.891329, 131.033373, 410.451177], [124.623262, 125.644068, 126.382562, 132.827611, 456.129557], [147.679951, 147.753701, 149.117509, 152.835386, 494.669280], [127.595867, 128.898727, 129.543339, 130.474255, 446.701523], [196.751333, 197.088139, 200.279915, 211.451934, 813.443872], [40.818590, 43.214112, 43.989967, 44.562109, 76.986686]]
### 6
mean: [-4.705653, -2.884727, -11.969861, 0.314346, 6.153138, 6.355042]
std: [5.385571, 4.656501, 15.833102, 1.288534, 9.839585, 9.726173]
pca: [[0.242172, 0.299820, 0.288808, 0.676848, 0.456215, -0.319054, 0.000000, 0.000000, 0.000000, 0.000000], [0.209276, -0.456099, -0.464883, 0.050180, 0.644628, 0.337637, 0.000000, 0.000000, 0.000000, 0.000000], [0.712090, 0.561643, -0.264136, -0.308036, -0.052794, 0.100223, 0.000000, 0.000000, 0.000000, 0.000000], [-0.057863, 0.109697, 0.666227, -0.492455, 0.466295, 0.284282, 0.000000, 0.000000, 0.000000, 0.000000], [-0.442536, 0.325522, -0.390281, -0.334150, 0.394857, -0.527551, 0.000000, 0.000000, 0.000000, 0.000000], [-0.437376, 0.518307, -0.185819, 0.300507, 0.013886, 0.644232, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[93.816780, 94.370560, 95.049316, 99.234244, 423.508769], [80.333195, 80.722809, 80.735042, 83.647140, 259.625367], [274.044495, 277.294613, 279.467630, 290.410787, 1077.287551], [22.109849, 22.197237, 22.358457, 23.276641, 28.291159], [169.387736, 171.377953, 172.410426, 177.469246, 553.782391], [167.243013, 169.224600, 169.979552, 174.915124, 571.953862]]
### 8
mean: [-4.195364]
std: [7.232174]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[123.977669, 126.313784, 127.509663, 130.613682, 377.582745]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.43859,
0.223611,
-0.277023,
-0.106082,
-0.283722
],
[
1.180469,
0.045181,
0.144353,
-0.343346,
-0.189309
],
[
0.496275,
0.111729,
-0.109943,
-0.243427,
-0.20668
],
[
-0.30877,
-0.253504,
-0.201117,
-0.298241,
0.478333
],
[
1.151097,
0.504222,
0.038231,
-0.161217,
-0.493445
],
[
0.457751,
-0.22658,
-0.394984,
-0.360709,
-0.248939
]
],
"network.0.bias": [
0.60926,
0.046906,
-0.538822,
-0.121347,
0.436849,
-0.598243
],
"network.2.weight": [
[
1.071579,
0.297504,
-0.420427,
-0.421942,
1.160094,
-0.360325
],
[
0.67649,
0.98396,
-0.629231,
-0.609255,
0.752896,
-0.124578
],
[
-0.180505,
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0.16852,
0.190077,
0.0503,
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],
[
0.504191,
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0.877345,
0.112526
],
[
0.217878,
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0.574798,
-0.09297,
-0.228122
],
[
-0.409484,
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-0.573057,
0.630763,
0.846186,
-0.765017
]
],
"network.2.bias": [
-0.296527,
0.442534,
-0.896788,
-0.319217,
0.064895,
-0.479288
],
"network.4.weight": [
[
0.370734,
0.486139,
-0.197823,
0.59671,
0.074428,
-0.264148
],
[
0.599577,
0.464422,
-0.165006,
0.221768,
0.331133,
-0.034783
],
[
0.33964,
0.864632,
-0.23353,
0.375883,
0.343685,
0.702988
],
[
0.570588,
0.492347,
-0.638332,
0.245519,
0.452914,
0.65352
],
[
-0.746088,
-0.574014,
0.942941,
-1.033148,
0.827635,
0.681474
],
[
-0.491298,
0.381458,
-0.512815,
-0.431878,
-0.097498,
-0.590635
]
],
"network.4.bias": [
-0.444651,
-0.050716,
-0.741315,
-0.427159,
-1.079955,
0.645604
],
"network.6.weight": [
[
0.101919,
-0.617821,
-0.272169,
0.074231,
0.343101,
-0.583686
],
[
-0.09444,
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-0.19714,
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0.491039
],
[
-0.848558,
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1.07631,
-1.063787
],
[
0.187291,
0.049309,
-0.137788,
0.098823,
0.821697,
-0.072783
],
[
0.35971,
0.262384,
0.309017,
0.371496,
0.436823,
0.032051
],
[
0.364911,
0.258198,
0.251042,
0.411852,
-0.131814,
-0.315954
]
],
"network.6.bias": [
-0.692851,
-0.037998,
-0.762393,
-0.456036,
-0.372412,
0.060301
],
"network.8.weight": [
[
-0.236871,
-0.024772,
-0.022917,
-0.213894,
-0.379059,
-0.336523
]
],
"network.8.bias": [
0.40206
]
}
## Activation Signature
### 0
mean: [1.650894, 0.930034, -0.724220, -1.437264, 1.913685, -2.347101]
std: [2.936398, 2.622796, 1.193930, 1.417646, 2.831774, 1.491989]
pca: [[0.579036, 0.047492, -0.042641, 0.794634, -0.130884, 0.109858, 0.000000, 0.000000, 0.000000, 0.000000], [0.505042, 0.178718, 0.631064, -0.408440, -0.384608, 0.001874, 0.000000, 0.000000, 0.000000, 0.000000], [0.224757, 0.187850, -0.174879, -0.241339, 0.355851, 0.835907, 0.000000, 0.000000, 0.000000, 0.000000], [-0.173940, 0.594363, 0.465758, 0.231813, 0.565024, -0.162966, 0.000000, 0.000000, 0.000000, 0.000000], [0.555483, -0.282837, -0.166486, -0.241112, 0.578753, -0.436618, 0.000000, 0.000000, 0.000000, 0.000000], [0.142540, 0.705162, -0.569832, -0.177809, -0.232615, -0.268318, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.333343, 53.643384, 54.200136, 54.340006, 148.580450], [43.412260, 43.732683, 53.312374, 53.350587, 83.703041], [18.514385, 20.300010, 20.614572, 22.333689, 65.179797], [22.704821, 23.236250, 23.556614, 27.631654, 129.353778], [43.014008, 45.327194, 48.682713, 54.330558, 172.231630], [24.130368, 24.179105, 25.645230, 26.065708, 211.239070]]
### 2
mean: [4.287950, 4.367804, -1.094843, 2.184366, -0.536161, 0.132605]
std: [6.478728, 5.761654, 0.427482, 3.377348, 1.198059, 0.686390]
pca: [[0.691088, 0.164452, -0.306956, -0.338977, -0.519764, -0.126771, 0.000000, 0.000000, 0.000000, 0.000000], [0.613906, -0.341269, 0.457790, -0.149614, 0.520489, 0.061560, 0.000000, 0.000000, 0.000000, 0.000000], [-0.041227, 0.126911, 0.265797, -0.194078, -0.263797, 0.896823, 0.000000, 0.000000, 0.000000, 0.000000], [0.358404, 0.349888, -0.343512, 0.685403, 0.270735, 0.296733, 0.000000, 0.000000, 0.000000, 0.000000], [-0.122133, 0.333839, -0.436084, -0.595858, 0.561884, 0.112717, 0.000000, 0.000000, 0.000000, 0.000000], [0.021136, 0.778790, 0.563373, -0.014864, 0.018331, -0.274031, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[111.223685, 111.248748, 111.825743, 117.928303, 385.915479], [98.873033, 100.360142, 104.227182, 111.890543, 393.102405], [7.041529, 7.190405, 7.599229, 8.911930, 98.535823], [57.319601, 58.500077, 58.508761, 59.579807, 196.592921], [20.156966, 22.246118, 22.833743, 24.982772, 48.254498], [10.518355, 10.921080, 11.934491, 13.001555, 14.099194]]
### 4
mean: [4.560569, 5.068106, 5.496325, 4.963350, -9.038265, -0.855408]
std: [7.104488, 7.249600, 8.549047, 7.424942, 11.407709, 2.582422]
pca: [[-0.370520, 0.190927, -0.067394, 0.307782, 0.701726, 0.484325, 0.000000, 0.000000, 0.000000, 0.000000], [-0.378107, 0.121239, 0.049520, 0.719057, -0.168806, -0.542536, 0.000000, 0.000000, 0.000000, 0.000000], [-0.445763, -0.241183, 0.610191, -0.414942, 0.298967, -0.330508, 0.000000, 0.000000, 0.000000, 0.000000], [-0.387077, -0.366282, 0.253123, 0.148775, -0.544284, 0.577545, 0.000000, 0.000000, 0.000000, 0.000000], [0.594847, -0.394824, 0.486052, 0.439753, 0.241261, 0.049336, 0.000000, 0.000000, 0.000000, 0.000000], [0.131811, 0.775003, 0.565999, -0.023096, -0.187757, 0.160795, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[122.401381, 123.262305, 123.891329, 131.033373, 410.451177], [124.623262, 125.644068, 126.382562, 132.827611, 456.129557], [147.679951, 147.753701, 149.117509, 152.835386, 494.669280], [127.595867, 128.898727, 129.543339, 130.474255, 446.701523], [196.751333, 197.088139, 200.279915, 211.451934, 813.443872], [40.818590, 43.214112, 43.989967, 44.562109, 76.986686]]
### 6
mean: [-4.705653, -2.884727, -11.969861, 0.314346, 6.153138, 6.355042]
std: [5.385571, 4.656501, 15.833102, 1.288534, 9.839585, 9.726173]
pca: [[0.242172, 0.299820, 0.288808, 0.676848, 0.456215, -0.319054, 0.000000, 0.000000, 0.000000, 0.000000], [0.209276, -0.456099, -0.464883, 0.050180, 0.644628, 0.337637, 0.000000, 0.000000, 0.000000, 0.000000], [0.712090, 0.561643, -0.264136, -0.308036, -0.052794, 0.100223, 0.000000, 0.000000, 0.000000, 0.000000], [-0.057863, 0.109697, 0.666227, -0.492455, 0.466295, 0.284282, 0.000000, 0.000000, 0.000000, 0.000000], [-0.442536, 0.325522, -0.390281, -0.334150, 0.394857, -0.527551, 0.000000, 0.000000, 0.000000, 0.000000], [-0.437376, 0.518307, -0.185819, 0.300507, 0.013886, 0.644232, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[93.816780, 94.370560, 95.049316, 99.234244, 423.508769], [80.333195, 80.722809, 80.735042, 83.647140, 259.625367], [274.044495, 277.294613, 279.467630, 290.410787, 1077.287551], [22.109849, 22.197237, 22.358457, 23.276641, 28.291159], [169.387736, 171.377953, 172.410426, 177.469246, 553.782391], [167.243013, 169.224600, 169.979552, 174.915124, 571.953862]]
### 8
mean: [-4.195364]
std: [7.232174]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[123.977669, 126.313784, 127.509663, 130.613682, 377.582745]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
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"input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.43859, 0.223611, -0.277023, -0.106082, -0.283722], [1.180469, 0.045181, 0.144353, -0.343346, -0.189309], [0.496275, 0.111729, -0.109943, -0.243427, -0.20668], [-0.30877, -0.253504, -0.201117, -0.298241, 0.478333], [1.151097, 0.504222, 0.038231, -0.161217, -0.493445], [0.457751, -0.22658, -0.394984, -0.360709, -0.248939]], "network.0.bias": [0.60926, 0.046906, -0.538822, -0.121347, 0.436849, -0.598243], "network.2.weight": [[1.071579, 0.297504, -0.420427, -0.421942, 1.160094, -0.360325], [0.67649, 0.98396, -0.629231, -0.609255, 0.752896, -0.124578], [-0.180505, -0.020108, 0.16852, 0.190077, 0.0503, -1.040874], [0.504191, -0.069811, -0.462574, -0.900993, 0.877345, 0.112526], [0.217878, -0.590655, -0.29775, 0.574798, -0.09297, -0.228122], [-0.409484, -0.240726, -0.573057, 0.630763, 0.846186, -0.765017]], "network.2.bias": [-0.296527, 0.442534, -0.896788, -0.319217, 0.064895, -0.479288], "network.4.weight": [[0.370734, 0.486139, -0.197823, 0.59671, 0.074428, -0.264148], [0.599577, 0.464422, -0.165006, 0.221768, 0.331133, -0.034783], [0.33964, 0.864632, -0.23353, 0.375883, 0.343685, 0.702988], [0.570588, 0.492347, -0.638332, 0.245519, 0.452914, 0.65352], [-0.746088, -0.574014, 0.942941, -1.033148, 0.827635, 0.681474], [-0.491298, 0.381458, -0.512815, -0.431878, -0.097498, -0.590635]], "network.4.bias": [-0.444651, -0.050716, -0.741315, -0.427159, -1.079955, 0.645604], "network.6.weight": [[0.101919, -0.617821, -0.272169, 0.074231, 0.343101, -0.583686], [-0.09444, -0.278404, -0.19714, -0.021729, -0.047324, 0.491039], [-0.848558, -0.840129, -0.098784, -0.425518, 1.07631, -1.063787], [0.187291, 0.049309, -0.137788, 0.098823, 0.821697, -0.072783], [0.35971, 0.262384, 0.309017, 0.371496, 0.436823, 0.032051], [0.364911, 0.258198, 0.251042, 0.411852, -0.131814, -0.315954]], "network.6.bias": [-0.692851, -0.037998, -0.762393, -0.456036, -0.372412, 0.060301], "network.8.weight": [[-0.236871, -0.024772, -0.022917, -0.213894, -0.379059, -0.336523]], "network.8.bias": [0.40206]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.8028437495231628, "train_acc": 0.41, "val_loss": 0.6911841034889221, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6894955039024353, "train_acc": 0.56, "val_loss": 0.6899176239967346, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6901161968708038, "train_acc": 0.51, "val_loss": 0.6678786277770996, "val_acc": 0.56}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6715156733989716, "train_acc": 0.555, "val_loss": 0.6056938767433167, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6603741645812988, "train_acc": 0.535, "val_loss": 0.5125133395195007, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5963126420974731, "train_acc": 0.64, "val_loss": 0.47543394565582275, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5417658388614655, "train_acc": 0.73, "val_loss": 0.39992988109588623, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5066556632518768, "train_acc": 0.755, "val_loss": 0.5788865685462952, "val_acc": 0.7}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.480148121714592, "train_acc": 0.76, "val_loss": 0.3905699849128723, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.5109115242958069, "train_acc": 0.735, "val_loss": 0.39510565996170044, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.48590879142284393, "train_acc": 0.745, "val_loss": 0.4176129996776581, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.4981749355792999, "train_acc": 0.745, "val_loss": 0.37564659118652344, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.4193791598081589, "train_acc": 0.795, "val_loss": 0.5512102842330933, "val_acc": 0.78}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.4367011934518814, "train_acc": 0.8, "val_loss": 0.41828984022140503, "val_acc": 0.76}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6911841034889221, "final_val_loss": 0.6056938767433167, "initial_val_acc": 0.62, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.5125133395195007, "final_val_loss": 0.41828984022140503, "initial_val_acc": 0.72, "final_val_acc": 0.76, "best_val_acc": 0.82, "best_epoch": 6}, "improvement": 0.2599999999999999, "first_improvement_epoch": 3}}
|
147
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.42, "improved_accuracy": 0.88, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1382, "learning_rate": 0.07895096541328568, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.0.bias": [
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"network.4.weight": [
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[
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}
## Activation Signature
### 0
mean: [0.454247, 3.199398, -0.654726, 0.345526, 1.929813, 2.874877, 4.038188]
std: [1.378972, 2.720341, 1.954867, 1.503952, 1.646930, 2.335104, 3.177502]
pca: [[-0.094829, 0.551584, -0.292291, -0.637304, 0.146351, -0.345614, -0.233032, 0.000000, 0.000000, 0.000000], [0.515327, -0.011709, 0.313805, 0.143332, 0.715904, -0.264336, -0.181361, 0.000000, 0.000000, 0.000000], [-0.309387, 0.471492, 0.449182, -0.070675, 0.314922, 0.571821, 0.221496, 0.000000, 0.000000, 0.000000], [0.126715, 0.565425, -0.360490, 0.655236, -0.082490, 0.123462, -0.287928, 0.000000, 0.000000, 0.000000], [0.296189, -0.232381, -0.167417, -0.313385, 0.018250, 0.649986, -0.556073, 0.000000, 0.000000, 0.000000], [0.404649, 0.279396, 0.592724, -0.116686, -0.599563, -0.102044, -0.152872, 0.000000, 0.000000, 0.000000], [0.601830, 0.146780, -0.324074, -0.164753, -0.016537, 0.188573, 0.669518, 0.000000, 0.000000, 0.000000]]
fourier: [[22.285140, 22.437850, 22.533138, 26.229530, 40.882218], [44.657146, 46.906697, 49.278671, 49.431938, 287.945732], [30.570259, 33.154290, 36.375885, 42.404747, 58.925379], [22.544051, 24.702444, 26.493952, 26.565789, 31.097379], [27.485037, 28.508841, 29.569460, 34.078133, 173.683193], [38.972420, 39.036383, 39.601568, 44.248563, 258.738912], [50.967976, 51.106216, 58.038919, 64.009766, 363.436840]]
### 2
mean: [2.670433, 5.479558, 4.862647, 7.249486, -3.275292, -0.886518, -2.822740]
std: [2.793055, 4.900034, 4.137899, 5.606006, 2.171188, 1.892893, 2.114906]
pca: [[0.289632, 0.273765, -0.349406, -0.004040, -0.206350, 0.581185, -0.581987, 0.000000, 0.000000, 0.000000], [0.516291, 0.106922, 0.047692, -0.636784, -0.462288, -0.207296, 0.239920, 0.000000, 0.000000, 0.000000], [0.433624, 0.206522, 0.248241, 0.741581, -0.334013, -0.200760, 0.076705, 0.000000, 0.000000, 0.000000], [0.590720, -0.184919, 0.268699, -0.027695, 0.617928, 0.357935, 0.184216, 0.000000, 0.000000, 0.000000], [-0.199318, 0.675556, -0.102890, 0.019284, 0.055895, 0.347546, 0.607474, 0.000000, 0.000000, 0.000000], [-0.179234, -0.506665, 0.253983, 0.063874, -0.497176, 0.570150, 0.265185, 0.000000, 0.000000, 0.000000], [-0.201802, 0.351693, 0.816532, -0.198315, -0.001406, 0.070502, -0.352933, 0.000000, 0.000000, 0.000000]]
fourier: [[45.400727, 49.434071, 49.720909, 52.440107, 240.338993], [79.712347, 82.377661, 90.259010, 95.764171, 493.160189], [68.384940, 70.902001, 71.546771, 80.515634, 437.638259], [85.765511, 98.544755, 100.254366, 110.637142, 652.453700], [35.604915, 37.608063, 39.667334, 44.618898, 294.776267], [30.511627, 30.643880, 33.922973, 35.769918, 79.786602], [35.043576, 35.174728, 35.240588, 39.598726, 254.046580]]
### 4
mean: [-6.932866, -0.831590, 10.518610, -1.139722, -5.649509, -1.230076, -5.281617]
std: [5.502175, 1.076696, 9.063618, 1.396478, 4.681145, 1.810909, 4.113782]
pca: [[-0.438739, -0.120836, 0.620413, 0.494473, -0.351555, -0.187863, -0.067878, 0.000000, 0.000000, 0.000000], [-0.080761, 0.392699, -0.553943, 0.152204, -0.548586, -0.369224, -0.268279, 0.000000, 0.000000, 0.000000], [0.723530, -0.045632, 0.001515, 0.659951, -0.032967, 0.174398, -0.085923, 0.000000, 0.000000, 0.000000], [-0.108094, 0.452265, -0.002738, 0.090302, -0.292653, 0.497496, 0.665178, 0.000000, 0.000000, 0.000000], [-0.373507, -0.156597, -0.249751, 0.147300, 0.005380, 0.707166, -0.501781, 0.000000, 0.000000, 0.000000], [-0.137931, 0.711570, 0.155379, 0.218689, 0.589664, -0.069360, -0.223965, 0.000000, 0.000000, 0.000000], [-0.327526, -0.306112, -0.470858, 0.468101, 0.375495, -0.213471, 0.414282, 0.000000, 0.000000, 0.000000]]
fourier: [[88.827413, 97.786857, 98.574015, 104.558143, 623.957833], [15.378003, 19.721447, 21.263222, 21.920690, 74.843075], [142.173194, 158.709188, 163.602511, 175.569316, 946.674885], [21.883019, 24.733318, 24.942761, 27.432799, 102.574984], [72.934278, 83.408956, 84.373477, 90.348569, 508.455819], [28.982510, 30.288421, 31.387643, 36.218677, 110.706859], [63.344420, 73.285903, 74.387139, 79.692331, 475.345539]]
### 6
mean: [6.905504, 3.423959, 3.974331, -2.488693, 4.225254, -1.818269, -2.517565]
std: [6.120149, 3.150867, 3.518346, 2.824830, 3.995763, 1.275429, 2.844163]
pca: [[0.634284, -0.138915, -0.401341, 0.048018, 0.325048, 0.201427, -0.518437, 0.000000, 0.000000, 0.000000], [0.326494, 0.122460, -0.132937, 0.775311, -0.204550, 0.106294, 0.454408, 0.000000, 0.000000, 0.000000], [0.363695, -0.439249, 0.746558, 0.045934, 0.297357, -0.071443, 0.147657, 0.000000, 0.000000, 0.000000], [-0.291377, -0.475380, -0.445311, 0.010461, 0.542126, -0.037131, 0.442066, 0.000000, 0.000000, 0.000000], [0.414067, 0.138456, -0.099992, -0.611663, -0.139971, 0.343885, 0.536097, 0.000000, 0.000000, 0.000000], [-0.126219, 0.651790, 0.200253, 0.088042, 0.649102, 0.296506, 0.046234, 0.000000, 0.000000, 0.000000], [-0.294157, -0.320594, 0.124513, 0.111735, -0.171043, 0.857598, -0.134066, 0.000000, 0.000000, 0.000000]]
fourier: [[97.186205, 102.749282, 110.279545, 120.790528, 621.495406], [51.091478, 51.751008, 56.716506, 62.665063, 308.156280], [54.799920, 61.582183, 63.928781, 68.569171, 357.689829], [43.993468, 47.451766, 50.466915, 57.103136, 223.982317], [64.695289, 65.616678, 71.804634, 79.582769, 380.272879], [20.195019, 22.455754, 22.807521, 24.554228, 163.644235], [45.228433, 47.293570, 50.855348, 57.080002, 226.580890]]
### 8
mean: [7.392173, -6.056180, 13.772901, 1.680662, -5.531591, 5.659256, -7.648724]
std: [6.600096, 5.681617, 12.000617, 1.856974, 5.450260, 5.138931, 7.381508]
pca: [[0.361178, 0.431621, 0.411606, -0.086916, -0.150626, -0.053207, 0.693369, 0.000000, 0.000000, 0.000000], [-0.310950, -0.141637, -0.319197, 0.575913, 0.243143, -0.313599, 0.540577, 0.000000, 0.000000, 0.000000], [0.656774, -0.435404, 0.268473, 0.394177, 0.360435, 0.113408, -0.094037, 0.000000, 0.000000, 0.000000], [0.101328, 0.579488, -0.264266, 0.522641, -0.068672, 0.528038, -0.165518, 0.000000, 0.000000, 0.000000], [-0.298257, 0.324672, 0.615876, 0.320583, 0.156995, -0.403406, -0.369013, 0.000000, 0.000000, 0.000000], [0.281202, 0.402637, -0.360808, -0.301841, 0.648099, -0.326279, -0.105015, 0.000000, 0.000000, 0.000000], [-0.403993, -0.027039, 0.278018, -0.195853, 0.582137, 0.581330, 0.208753, 0.000000, 0.000000, 0.000000]]
fourier: [[103.054201, 113.487347, 121.278207, 129.811314, 665.295571], [88.278537, 98.070912, 104.439278, 111.377745, 545.056191], [186.013784, 208.866279, 220.631303, 234.335967, 1239.561106], [29.901789, 30.869897, 33.693412, 37.137698, 151.259543], [84.719078, 94.833331, 99.827553, 106.174796, 497.843188], [80.377245, 87.917796, 93.988692, 101.225180, 509.333054], [114.548899, 127.744625, 135.382744, 144.548074, 688.385123]]
### 10
mean: [-11.047708]
std: [9.957937]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[153.865276, 173.665490, 184.060458, 195.023397, 994.293674]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.10.bias": [
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}
## Activation Signature
### 0
mean: [0.454247, 3.199398, -0.654726, 0.345526, 1.929813, 2.874877, 4.038188]
std: [1.378972, 2.720341, 1.954867, 1.503952, 1.646930, 2.335104, 3.177502]
pca: [[-0.094829, 0.551584, -0.292291, -0.637304, 0.146351, -0.345614, -0.233032, 0.000000, 0.000000, 0.000000], [0.515327, -0.011709, 0.313805, 0.143332, 0.715904, -0.264336, -0.181361, 0.000000, 0.000000, 0.000000], [-0.309387, 0.471492, 0.449182, -0.070675, 0.314922, 0.571821, 0.221496, 0.000000, 0.000000, 0.000000], [0.126715, 0.565425, -0.360490, 0.655236, -0.082490, 0.123462, -0.287928, 0.000000, 0.000000, 0.000000], [0.296189, -0.232381, -0.167417, -0.313385, 0.018250, 0.649986, -0.556073, 0.000000, 0.000000, 0.000000], [0.404649, 0.279396, 0.592724, -0.116686, -0.599563, -0.102044, -0.152872, 0.000000, 0.000000, 0.000000], [0.601830, 0.146780, -0.324074, -0.164753, -0.016537, 0.188573, 0.669518, 0.000000, 0.000000, 0.000000]]
fourier: [[22.285140, 22.437850, 22.533138, 26.229530, 40.882218], [44.657146, 46.906697, 49.278671, 49.431938, 287.945732], [30.570259, 33.154290, 36.375885, 42.404747, 58.925379], [22.544051, 24.702444, 26.493952, 26.565789, 31.097379], [27.485037, 28.508841, 29.569460, 34.078133, 173.683193], [38.972420, 39.036383, 39.601568, 44.248563, 258.738912], [50.967976, 51.106216, 58.038919, 64.009766, 363.436840]]
### 2
mean: [2.670433, 5.479558, 4.862647, 7.249486, -3.275292, -0.886518, -2.822740]
std: [2.793055, 4.900034, 4.137899, 5.606006, 2.171188, 1.892893, 2.114906]
pca: [[0.289632, 0.273765, -0.349406, -0.004040, -0.206350, 0.581185, -0.581987, 0.000000, 0.000000, 0.000000], [0.516291, 0.106922, 0.047692, -0.636784, -0.462288, -0.207296, 0.239920, 0.000000, 0.000000, 0.000000], [0.433624, 0.206522, 0.248241, 0.741581, -0.334013, -0.200760, 0.076705, 0.000000, 0.000000, 0.000000], [0.590720, -0.184919, 0.268699, -0.027695, 0.617928, 0.357935, 0.184216, 0.000000, 0.000000, 0.000000], [-0.199318, 0.675556, -0.102890, 0.019284, 0.055895, 0.347546, 0.607474, 0.000000, 0.000000, 0.000000], [-0.179234, -0.506665, 0.253983, 0.063874, -0.497176, 0.570150, 0.265185, 0.000000, 0.000000, 0.000000], [-0.201802, 0.351693, 0.816532, -0.198315, -0.001406, 0.070502, -0.352933, 0.000000, 0.000000, 0.000000]]
fourier: [[45.400727, 49.434071, 49.720909, 52.440107, 240.338993], [79.712347, 82.377661, 90.259010, 95.764171, 493.160189], [68.384940, 70.902001, 71.546771, 80.515634, 437.638259], [85.765511, 98.544755, 100.254366, 110.637142, 652.453700], [35.604915, 37.608063, 39.667334, 44.618898, 294.776267], [30.511627, 30.643880, 33.922973, 35.769918, 79.786602], [35.043576, 35.174728, 35.240588, 39.598726, 254.046580]]
### 4
mean: [-6.932866, -0.831590, 10.518610, -1.139722, -5.649509, -1.230076, -5.281617]
std: [5.502175, 1.076696, 9.063618, 1.396478, 4.681145, 1.810909, 4.113782]
pca: [[-0.438739, -0.120836, 0.620413, 0.494473, -0.351555, -0.187863, -0.067878, 0.000000, 0.000000, 0.000000], [-0.080761, 0.392699, -0.553943, 0.152204, -0.548586, -0.369224, -0.268279, 0.000000, 0.000000, 0.000000], [0.723530, -0.045632, 0.001515, 0.659951, -0.032967, 0.174398, -0.085923, 0.000000, 0.000000, 0.000000], [-0.108094, 0.452265, -0.002738, 0.090302, -0.292653, 0.497496, 0.665178, 0.000000, 0.000000, 0.000000], [-0.373507, -0.156597, -0.249751, 0.147300, 0.005380, 0.707166, -0.501781, 0.000000, 0.000000, 0.000000], [-0.137931, 0.711570, 0.155379, 0.218689, 0.589664, -0.069360, -0.223965, 0.000000, 0.000000, 0.000000], [-0.327526, -0.306112, -0.470858, 0.468101, 0.375495, -0.213471, 0.414282, 0.000000, 0.000000, 0.000000]]
fourier: [[88.827413, 97.786857, 98.574015, 104.558143, 623.957833], [15.378003, 19.721447, 21.263222, 21.920690, 74.843075], [142.173194, 158.709188, 163.602511, 175.569316, 946.674885], [21.883019, 24.733318, 24.942761, 27.432799, 102.574984], [72.934278, 83.408956, 84.373477, 90.348569, 508.455819], [28.982510, 30.288421, 31.387643, 36.218677, 110.706859], [63.344420, 73.285903, 74.387139, 79.692331, 475.345539]]
### 6
mean: [6.905504, 3.423959, 3.974331, -2.488693, 4.225254, -1.818269, -2.517565]
std: [6.120149, 3.150867, 3.518346, 2.824830, 3.995763, 1.275429, 2.844163]
pca: [[0.634284, -0.138915, -0.401341, 0.048018, 0.325048, 0.201427, -0.518437, 0.000000, 0.000000, 0.000000], [0.326494, 0.122460, -0.132937, 0.775311, -0.204550, 0.106294, 0.454408, 0.000000, 0.000000, 0.000000], [0.363695, -0.439249, 0.746558, 0.045934, 0.297357, -0.071443, 0.147657, 0.000000, 0.000000, 0.000000], [-0.291377, -0.475380, -0.445311, 0.010461, 0.542126, -0.037131, 0.442066, 0.000000, 0.000000, 0.000000], [0.414067, 0.138456, -0.099992, -0.611663, -0.139971, 0.343885, 0.536097, 0.000000, 0.000000, 0.000000], [-0.126219, 0.651790, 0.200253, 0.088042, 0.649102, 0.296506, 0.046234, 0.000000, 0.000000, 0.000000], [-0.294157, -0.320594, 0.124513, 0.111735, -0.171043, 0.857598, -0.134066, 0.000000, 0.000000, 0.000000]]
fourier: [[97.186205, 102.749282, 110.279545, 120.790528, 621.495406], [51.091478, 51.751008, 56.716506, 62.665063, 308.156280], [54.799920, 61.582183, 63.928781, 68.569171, 357.689829], [43.993468, 47.451766, 50.466915, 57.103136, 223.982317], [64.695289, 65.616678, 71.804634, 79.582769, 380.272879], [20.195019, 22.455754, 22.807521, 24.554228, 163.644235], [45.228433, 47.293570, 50.855348, 57.080002, 226.580890]]
### 8
mean: [7.392173, -6.056180, 13.772901, 1.680662, -5.531591, 5.659256, -7.648724]
std: [6.600096, 5.681617, 12.000617, 1.856974, 5.450260, 5.138931, 7.381508]
pca: [[0.361178, 0.431621, 0.411606, -0.086916, -0.150626, -0.053207, 0.693369, 0.000000, 0.000000, 0.000000], [-0.310950, -0.141637, -0.319197, 0.575913, 0.243143, -0.313599, 0.540577, 0.000000, 0.000000, 0.000000], [0.656774, -0.435404, 0.268473, 0.394177, 0.360435, 0.113408, -0.094037, 0.000000, 0.000000, 0.000000], [0.101328, 0.579488, -0.264266, 0.522641, -0.068672, 0.528038, -0.165518, 0.000000, 0.000000, 0.000000], [-0.298257, 0.324672, 0.615876, 0.320583, 0.156995, -0.403406, -0.369013, 0.000000, 0.000000, 0.000000], [0.281202, 0.402637, -0.360808, -0.301841, 0.648099, -0.326279, -0.105015, 0.000000, 0.000000, 0.000000], [-0.403993, -0.027039, 0.278018, -0.195853, 0.582137, 0.581330, 0.208753, 0.000000, 0.000000, 0.000000]]
fourier: [[103.054201, 113.487347, 121.278207, 129.811314, 665.295571], [88.278537, 98.070912, 104.439278, 111.377745, 545.056191], [186.013784, 208.866279, 220.631303, 234.335967, 1239.561106], [29.901789, 30.869897, 33.693412, 37.137698, 151.259543], [84.719078, 94.833331, 99.827553, 106.174796, 497.843188], [80.377245, 87.917796, 93.988692, 101.225180, 509.333054], [114.548899, 127.744625, 135.382744, 144.548074, 688.385123]]
### 10
mean: [-11.047708]
std: [9.957937]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[153.865276, 173.665490, 184.060458, 195.023397, 994.293674]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.093796, -0.188022, -0.249618, 0.320003, 0.572135], [0.868781, 0.564029, 0.420399, 0.167712, -0.377426], [-0.280984, -0.700954, 0.0188, -0.144028, 0.631448], [0.636289, 0.047702, -0.514168, 0.07957, 0.30005], [0.264475, 0.541042, 0.179987, 0.233534, -0.372505], [0.70073, 0.363242, 0.505471, 0.100363, 0.049026], [0.948958, 0.872035, 0.064565, 0.455574, -0.281172]], "network.0.bias": [0.04315, 0.318138, 0.463038, 0.000121, 0.197439, 0.009388, 0.503174], "network.2.weight": [[-0.505645, 0.397538, -0.096713, 0.070567, 0.413766, 0.176006, 0.140139], [-0.09869, 0.827482, -0.758052, 0.451898, 0.314485, 0.195096, 0.382813], [-0.297916, 0.456495, 0.102009, 0.05999, 0.819626, -0.064611, 0.527626], [0.137357, 0.406475, -0.529752, 0.217294, 0.532274, 0.567072, 0.69582], [-0.637744, -0.321194, -0.190321, -0.187466, -0.090633, -0.313959, -0.102833], [0.438393, -0.396947, 0.448464, 0.208776, -0.093861, 0.021621, -0.125675], [0.011217, -0.506945, -0.550343, 0.009117, -0.480517, -0.502525, 0.349733]], "network.2.bias": [-0.114241, 0.223158, 0.056372, 0.534675, -0.172926, 0.396936, -0.084685], "network.4.weight": [[-0.462081, 0.007946, -0.710426, -0.259751, 0.343709, -0.1463, 0.517952], [-0.331328, 0.0052, 0.283982, -0.209991, -0.090889, 0.473023, -0.004577], [0.302248, 0.595608, 0.712435, 0.426814, -0.00212, -0.10368, 0.030189], [-0.184619, -0.042486, -0.157196, 0.025308, -0.285643, 0.399433, -0.282502], [-0.311277, -0.113902, -0.151474, -0.474012, -0.345606, 0.003407, -0.152634], [-0.110965, 0.055588, -0.390528, 0.019731, -0.123358, 0.61632, 0.227778], [-0.338866, 0.079892, 0.061818, -0.692017, 0.417658, -0.052425, 0.032647]], "network.4.bias": [-0.309635, 0.061168, -0.093188, 0.045674, -0.033289, 0.359399, -0.059284], "network.6.weight": [[0.046593, -0.157368, 0.651616, -0.014515, 0.41488, -0.677652, 0.04112], [0.206506, 0.124463, 0.32799, 0.01463, 0.162266, -0.655876, 0.253622], [0.615519, -0.304016, 0.382754, 0.247647, 0.106793, -0.038599, 0.079023], [-0.508409, 0.220739, -0.283025, 0.781384, -0.482521, 0.260421, -0.052745], [-0.304835, -0.250673, 0.420027, -0.656601, 0.363217, -0.194411, 0.394347], [0.159468, -0.051314, -0.149527, -0.125847, 0.191116, -0.338415, 0.050293], [0.021405, 0.080826, -0.291138, 0.484172, -0.139651, 0.395871, -0.320024]], "network.6.bias": [0.185152, 0.099223, -0.020956, 0.371309, -0.108983, -0.173982, 0.440924], "network.8.weight": [[0.432896, 0.502957, 0.097841, -0.190016, 0.509883, 0.120268, -0.47367], [-0.307245, -0.395065, -0.173897, 0.367053, -0.491712, -0.32129, 0.086197], [0.848578, 0.608599, 0.695085, -0.468675, 0.636239, 0.130361, -0.161095], [0.277939, -0.069855, 0.033455, -0.240167, 0.053486, -0.329382, -0.133051], [-0.443385, 0.083903, -0.698643, 0.100162, -0.130473, -0.402932, 0.179057], [0.314805, -0.029331, 0.425292, -0.258732, 0.442918, 0.052981, -0.318569], [-0.617751, -0.262404, -0.550335, 0.181911, -0.209558, -0.093804, 0.363981]], "network.8.bias": [0.138707, 0.177806, 0.329084, -0.34657, 0.528752, 0.0596, 0.574727], "network.10.weight": [[-0.425544, 0.445185, -0.425674, -0.229759, 0.384358, -0.298663, 0.456062]], "network.10.bias": [-0.038582]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6856449544429779, "train_acc": 0.58, "val_loss": 0.7381460070610046, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6694607138633728, "train_acc": 0.58, "val_loss": 0.6820403933525085, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.559744119644165, "train_acc": 0.645, "val_loss": 0.4878627061843872, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.3950207382440567, "train_acc": 0.855, "val_loss": 0.29784438014030457, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.37832851707935333, "train_acc": 0.9, "val_loss": 0.3053778111934662, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.288302481174469, "train_acc": 0.895, "val_loss": 0.33880874514579773, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3276905417442322, "train_acc": 0.87, "val_loss": 0.3397502899169922, "val_acc": 0.86}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.7381460070610046, "final_val_loss": 0.6820403933525085, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.4878627061843872, "final_val_loss": 0.3397502899169922, "initial_val_acc": 0.8, "final_val_acc": 0.86, "best_val_acc": 0.88, "best_epoch": 3}, "improvement": 0.46, "first_improvement_epoch": 1}}
|
148
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.54, "improved_accuracy": 0.92, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9054, "learning_rate": 0.06650441325857412, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.460821,
0.639697
],
[
-0.120563,
0.590641,
0.559558,
0.447119,
-0.087098,
0.422821
]
],
"network.8.bias": [
-0.17925,
-0.158668,
-0.290345,
-0.114957,
-0.51924,
-0.37752
],
"network.10.weight": [
[
0.098134,
-0.357424,
-0.249928,
0.06498,
-0.733758,
-0.292968
]
],
"network.10.bias": [
1.138115
]
}
## Activation Signature
### 0
mean: [-1.462161, -4.551413, -3.586255, 3.298846, 3.835660, 1.531354]
std: [1.902168, 2.982936, 2.169387, 2.339391, 3.499832, 2.804433]
pca: [[0.056598, 0.767879, -0.375619, -0.107553, -0.447864, -0.232206, 0.000000, 0.000000, 0.000000, 0.000000], [-0.478852, 0.219639, 0.472681, 0.668495, -0.226710, -0.027376, 0.000000, 0.000000, 0.000000, 0.000000], [-0.326896, 0.345261, -0.400803, 0.159662, 0.602899, 0.473617, 0.000000, 0.000000, 0.000000, 0.000000], [0.388853, -0.099491, -0.124405, 0.272480, -0.462021, 0.731922, 0.000000, 0.000000, 0.000000, 0.000000], [0.583005, 0.025356, -0.178774, 0.625701, 0.310525, -0.373596, 0.000000, 0.000000, 0.000000, 0.000000], [0.411746, 0.482053, 0.653762, -0.224293, 0.273211, 0.213857, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.841586, 32.037960, 34.788097, 35.645437, 131.594541], [46.305226, 49.127659, 56.991090, 59.553261, 409.627123], [32.935987, 33.747660, 38.069821, 44.739607, 322.762940], [39.156912, 40.058236, 40.101885, 47.620136, 296.896101], [56.606017, 58.431086, 64.441320, 68.242278, 345.209373], [43.139363, 45.113081, 46.657109, 51.641680, 137.821856]]
### 2
mean: [0.238090, 4.554985, 0.354730, 4.677976, 1.405795, -2.971753]
std: [0.775640, 5.143760, 1.050975, 5.167670, 2.679557, 2.400779]
pca: [[-0.092799, -0.091186, 0.130501, 0.688266, 0.675018, 0.191528, 0.000000, 0.000000, 0.000000, 0.000000], [0.632304, -0.030739, 0.734430, -0.200370, 0.138408, 0.023549, 0.000000, 0.000000, 0.000000, 0.000000], [-0.116287, -0.352347, 0.284507, 0.356698, -0.627184, 0.510677, 0.000000, 0.000000, 0.000000, 0.000000], [0.634303, -0.238349, -0.592652, -0.029602, 0.078528, 0.427283, 0.000000, 0.000000, 0.000000, 0.000000], [0.304936, 0.795037, -0.056322, 0.437075, -0.284078, -0.004817, 0.000000, 0.000000, 0.000000, 0.000000], [-0.287631, 0.421542, 0.090717, -0.408653, 0.212053, 0.720678, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.894910, 12.995181, 14.083061, 14.496475, 21.428069], [84.333622, 84.816368, 90.717934, 92.378846, 409.948647], [16.931284, 17.036073, 17.610958, 19.105752, 31.925671], [86.740696, 87.154703, 93.629869, 94.243204, 421.017769], [43.138404, 44.354655, 44.677475, 49.097019, 126.521527], [39.857453, 40.412213, 42.089215, 47.113413, 267.457749]]
### 4
mean: [-2.728821, -3.508380, -3.633807, 2.348090, -7.715623, 5.701339]
std: [2.502264, 3.279564, 4.898503, 4.303882, 7.672223, 7.402915]
pca: [[0.185380, 0.692850, -0.271796, 0.490090, -0.396653, -0.119160, 0.000000, 0.000000, 0.000000, 0.000000], [0.248786, -0.236100, 0.673618, 0.396194, -0.115511, -0.508221, 0.000000, 0.000000, 0.000000, 0.000000], [0.372886, -0.130761, -0.309336, 0.468305, 0.726467, 0.033237, 0.000000, 0.000000, 0.000000, 0.000000], [-0.325524, 0.598481, 0.288591, -0.204151, 0.544755, -0.337838, 0.000000, 0.000000, 0.000000, 0.000000], [0.583894, 0.298224, 0.449504, -0.210737, 0.055320, 0.566220, 0.000000, 0.000000, 0.000000, 0.000000], [-0.563735, 0.000451, 0.302223, 0.545385, 0.041846, 0.540063, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.382615, 41.535697, 42.056487, 47.706486, 245.593912], [54.187711, 54.638722, 55.843404, 58.019405, 315.754238], [81.239795, 81.782657, 82.431257, 87.535723, 327.042612], [71.465349, 71.961548, 72.338254, 78.356433, 211.328081], [128.093629, 128.152921, 133.315514, 134.655910, 694.406046], [123.442630, 123.729962, 124.746919, 131.818760, 513.120459]]
### 6
mean: [-2.416129, -3.306064, 3.672381, 2.791354, 2.548642, 3.408692]
std: [1.984417, 3.357293, 5.098116, 3.988361, 3.593717, 4.992805]
pca: [[-0.201046, 0.955373, 0.085345, 0.149917, 0.090013, 0.094772, 0.000000, 0.000000, 0.000000, 0.000000], [-0.344439, -0.140260, 0.903356, 0.024859, 0.040694, -0.208237, 0.000000, 0.000000, 0.000000, 0.000000], [0.523571, 0.003454, 0.228036, 0.707414, -0.396320, 0.127897, 0.000000, 0.000000, 0.000000, 0.000000], [0.409572, 0.039823, 0.329466, -0.441141, 0.171345, 0.705799, 0.000000, 0.000000, 0.000000, 0.000000], [0.368974, 0.248138, 0.108181, -0.524404, -0.537742, -0.475833, 0.000000, 0.000000, 0.000000, 0.000000], [0.512762, 0.066479, 0.066425, 0.082870, 0.717389, -0.454675, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.578137, 33.499692, 34.462195, 34.590477, 217.451646], [56.541339, 57.286334, 57.799256, 57.929451, 297.545786], [84.201928, 85.450706, 85.826187, 90.078134, 330.514242], [65.972541, 66.717175, 66.848983, 70.958171, 251.221820], [59.638962, 60.222218, 60.380788, 63.781167, 229.377751], [82.752012, 83.865433, 84.213197, 87.890293, 306.782307]]
### 8
mean: [-2.977111, -2.966179, 3.569447, -0.198255, 4.963027, 4.363918]
std: [3.654263, 3.683826, 5.143157, 0.165168, 7.284919, 6.259795]
pca: [[-0.302774, -0.064678, 0.864701, 0.039135, -0.388850, -0.060841, 0.000000, 0.000000, 0.000000, 0.000000], [-0.305234, -0.302239, 0.188769, 0.147170, 0.782338, -0.382280, 0.000000, 0.000000, 0.000000, 0.000000], [0.426154, -0.229897, 0.352801, -0.193480, 0.364095, 0.686347, 0.000000, 0.000000, 0.000000, 0.000000], [-0.013122, 0.783690, 0.196130, -0.501114, 0.284738, -0.122478, 0.000000, 0.000000, 0.000000, 0.000000], [0.603619, -0.320975, 0.108276, -0.403242, -0.124822, -0.585415, 0.000000, 0.000000, 0.000000, 0.000000], [0.518677, 0.366635, 0.204937, 0.725021, 0.086727, -0.146208, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[62.206794, 62.208942, 62.390070, 62.674561, 267.939996], [62.705136, 62.759261, 62.821048, 63.009382, 266.956176], [87.454762, 87.477005, 87.595343, 88.347509, 321.250211], [2.755423, 2.883317, 2.893947, 2.906787, 17.842970], [123.907287, 124.069007, 124.071059, 125.031678, 446.672409], [106.500956, 106.568494, 106.606079, 107.270077, 392.752608]]
### 10
mean: [-4.865290]
std: [8.323924]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[140.619055, 141.061546, 142.138691, 144.395277, 437.876097]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.806011,
-0.258267,
-0.374399,
-0.09639,
-0.647656
],
[
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-0.773322,
0.16108
],
[
-0.307944,
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-0.407243
],
[
0.772148,
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0.320967,
0.413255,
0.117841
],
[
1.246921,
0.28423,
0.616701,
0.487535,
-0.035118
],
[
0.995708,
0.71817,
0.110553,
-0.226052,
-0.245364
]
],
"network.0.bias": [
-0.20702,
-0.361243,
-0.440877,
0.174766,
-0.524394,
-0.459977
],
"network.2.weight": [
[
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0.352805,
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],
[
0.428373,
-0.537006,
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0.36725,
0.565452,
0.92718
],
[
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-0.269731
],
[
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0.770533,
0.576131
],
[
1.218892,
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0.159074,
0.798142
],
[
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-0.634483,
-0.176415,
-0.14155
]
],
"network.2.bias": [
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0.761701,
-0.877674,
-0.182385,
0.069063
],
"network.4.weight": [
[
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0.4595,
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],
[
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-0.333883
],
[
0.357744,
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0.41573,
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],
[
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0.400722,
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0.109401,
0.524946,
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],
[
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-0.295754
],
[
-0.36504,
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0.59249,
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0.238715
]
],
"network.4.bias": [
0.079814,
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0.048313,
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-0.258637,
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],
"network.6.weight": [
[
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0.204145,
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],
[
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],
[
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0.023558,
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0.190665,
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0.587249
],
[
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0.47194,
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0.186739,
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0.436827
],
[
0.057201,
0.096218,
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0.274163,
-0.25364,
0.336974
],
[
0.197297,
0.174203,
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0.207759,
0.168108,
0.565266
]
],
"network.6.bias": [
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-0.203189,
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-0.111325,
-0.401045
],
"network.8.weight": [
[
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-0.383699,
-0.505179,
-0.070024,
-0.621535,
0.272455
],
[
0.374683,
-0.17213,
-0.390491,
-0.407443,
-0.035954,
-0.007058
],
[
0.172445,
0.026851,
0.118969,
0.324721,
0.135643,
0.581448
],
[
0.046115,
0.249291,
0.580155,
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0.007652
],
[
0.209373,
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0.230304,
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],
[
-0.120563,
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0.559558,
0.447119,
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0.422821
]
],
"network.8.bias": [
-0.17925,
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-0.290345,
-0.114957,
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],
"network.10.weight": [
[
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-0.249928,
0.06498,
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-0.292968
]
],
"network.10.bias": [
1.138115
]
}
## Activation Signature
### 0
mean: [-1.462161, -4.551413, -3.586255, 3.298846, 3.835660, 1.531354]
std: [1.902168, 2.982936, 2.169387, 2.339391, 3.499832, 2.804433]
pca: [[0.056598, 0.767879, -0.375619, -0.107553, -0.447864, -0.232206, 0.000000, 0.000000, 0.000000, 0.000000], [-0.478852, 0.219639, 0.472681, 0.668495, -0.226710, -0.027376, 0.000000, 0.000000, 0.000000, 0.000000], [-0.326896, 0.345261, -0.400803, 0.159662, 0.602899, 0.473617, 0.000000, 0.000000, 0.000000, 0.000000], [0.388853, -0.099491, -0.124405, 0.272480, -0.462021, 0.731922, 0.000000, 0.000000, 0.000000, 0.000000], [0.583005, 0.025356, -0.178774, 0.625701, 0.310525, -0.373596, 0.000000, 0.000000, 0.000000, 0.000000], [0.411746, 0.482053, 0.653762, -0.224293, 0.273211, 0.213857, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.841586, 32.037960, 34.788097, 35.645437, 131.594541], [46.305226, 49.127659, 56.991090, 59.553261, 409.627123], [32.935987, 33.747660, 38.069821, 44.739607, 322.762940], [39.156912, 40.058236, 40.101885, 47.620136, 296.896101], [56.606017, 58.431086, 64.441320, 68.242278, 345.209373], [43.139363, 45.113081, 46.657109, 51.641680, 137.821856]]
### 2
mean: [0.238090, 4.554985, 0.354730, 4.677976, 1.405795, -2.971753]
std: [0.775640, 5.143760, 1.050975, 5.167670, 2.679557, 2.400779]
pca: [[-0.092799, -0.091186, 0.130501, 0.688266, 0.675018, 0.191528, 0.000000, 0.000000, 0.000000, 0.000000], [0.632304, -0.030739, 0.734430, -0.200370, 0.138408, 0.023549, 0.000000, 0.000000, 0.000000, 0.000000], [-0.116287, -0.352347, 0.284507, 0.356698, -0.627184, 0.510677, 0.000000, 0.000000, 0.000000, 0.000000], [0.634303, -0.238349, -0.592652, -0.029602, 0.078528, 0.427283, 0.000000, 0.000000, 0.000000, 0.000000], [0.304936, 0.795037, -0.056322, 0.437075, -0.284078, -0.004817, 0.000000, 0.000000, 0.000000, 0.000000], [-0.287631, 0.421542, 0.090717, -0.408653, 0.212053, 0.720678, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.894910, 12.995181, 14.083061, 14.496475, 21.428069], [84.333622, 84.816368, 90.717934, 92.378846, 409.948647], [16.931284, 17.036073, 17.610958, 19.105752, 31.925671], [86.740696, 87.154703, 93.629869, 94.243204, 421.017769], [43.138404, 44.354655, 44.677475, 49.097019, 126.521527], [39.857453, 40.412213, 42.089215, 47.113413, 267.457749]]
### 4
mean: [-2.728821, -3.508380, -3.633807, 2.348090, -7.715623, 5.701339]
std: [2.502264, 3.279564, 4.898503, 4.303882, 7.672223, 7.402915]
pca: [[0.185380, 0.692850, -0.271796, 0.490090, -0.396653, -0.119160, 0.000000, 0.000000, 0.000000, 0.000000], [0.248786, -0.236100, 0.673618, 0.396194, -0.115511, -0.508221, 0.000000, 0.000000, 0.000000, 0.000000], [0.372886, -0.130761, -0.309336, 0.468305, 0.726467, 0.033237, 0.000000, 0.000000, 0.000000, 0.000000], [-0.325524, 0.598481, 0.288591, -0.204151, 0.544755, -0.337838, 0.000000, 0.000000, 0.000000, 0.000000], [0.583894, 0.298224, 0.449504, -0.210737, 0.055320, 0.566220, 0.000000, 0.000000, 0.000000, 0.000000], [-0.563735, 0.000451, 0.302223, 0.545385, 0.041846, 0.540063, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.382615, 41.535697, 42.056487, 47.706486, 245.593912], [54.187711, 54.638722, 55.843404, 58.019405, 315.754238], [81.239795, 81.782657, 82.431257, 87.535723, 327.042612], [71.465349, 71.961548, 72.338254, 78.356433, 211.328081], [128.093629, 128.152921, 133.315514, 134.655910, 694.406046], [123.442630, 123.729962, 124.746919, 131.818760, 513.120459]]
### 6
mean: [-2.416129, -3.306064, 3.672381, 2.791354, 2.548642, 3.408692]
std: [1.984417, 3.357293, 5.098116, 3.988361, 3.593717, 4.992805]
pca: [[-0.201046, 0.955373, 0.085345, 0.149917, 0.090013, 0.094772, 0.000000, 0.000000, 0.000000, 0.000000], [-0.344439, -0.140260, 0.903356, 0.024859, 0.040694, -0.208237, 0.000000, 0.000000, 0.000000, 0.000000], [0.523571, 0.003454, 0.228036, 0.707414, -0.396320, 0.127897, 0.000000, 0.000000, 0.000000, 0.000000], [0.409572, 0.039823, 0.329466, -0.441141, 0.171345, 0.705799, 0.000000, 0.000000, 0.000000, 0.000000], [0.368974, 0.248138, 0.108181, -0.524404, -0.537742, -0.475833, 0.000000, 0.000000, 0.000000, 0.000000], [0.512762, 0.066479, 0.066425, 0.082870, 0.717389, -0.454675, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.578137, 33.499692, 34.462195, 34.590477, 217.451646], [56.541339, 57.286334, 57.799256, 57.929451, 297.545786], [84.201928, 85.450706, 85.826187, 90.078134, 330.514242], [65.972541, 66.717175, 66.848983, 70.958171, 251.221820], [59.638962, 60.222218, 60.380788, 63.781167, 229.377751], [82.752012, 83.865433, 84.213197, 87.890293, 306.782307]]
### 8
mean: [-2.977111, -2.966179, 3.569447, -0.198255, 4.963027, 4.363918]
std: [3.654263, 3.683826, 5.143157, 0.165168, 7.284919, 6.259795]
pca: [[-0.302774, -0.064678, 0.864701, 0.039135, -0.388850, -0.060841, 0.000000, 0.000000, 0.000000, 0.000000], [-0.305234, -0.302239, 0.188769, 0.147170, 0.782338, -0.382280, 0.000000, 0.000000, 0.000000, 0.000000], [0.426154, -0.229897, 0.352801, -0.193480, 0.364095, 0.686347, 0.000000, 0.000000, 0.000000, 0.000000], [-0.013122, 0.783690, 0.196130, -0.501114, 0.284738, -0.122478, 0.000000, 0.000000, 0.000000, 0.000000], [0.603619, -0.320975, 0.108276, -0.403242, -0.124822, -0.585415, 0.000000, 0.000000, 0.000000, 0.000000], [0.518677, 0.366635, 0.204937, 0.725021, 0.086727, -0.146208, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[62.206794, 62.208942, 62.390070, 62.674561, 267.939996], [62.705136, 62.759261, 62.821048, 63.009382, 266.956176], [87.454762, 87.477005, 87.595343, 88.347509, 321.250211], [2.755423, 2.883317, 2.893947, 2.906787, 17.842970], [123.907287, 124.069007, 124.071059, 125.031678, 446.672409], [106.500956, 106.568494, 106.606079, 107.270077, 392.752608]]
### 10
mean: [-4.865290]
std: [8.323924]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[140.619055, 141.061546, 142.138691, 144.395277, 437.876097]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.684573233127594, "train_acc": 0.515, "val_loss": 0.7200331687927246, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6837337017059326, "train_acc": 0.555, "val_loss": 0.6558791995048523, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6883783638477325, "train_acc": 0.49, "val_loss": 0.6157158017158508, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5923167169094086, "train_acc": 0.735, "val_loss": 0.635070264339447, "val_acc": 0.66}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5464735627174377, "train_acc": 0.8, "val_loss": 0.5347755551338196, "val_acc": 0.68}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.44768594205379486, "train_acc": 0.765, "val_loss": 0.48004913330078125, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4259490519762039, "train_acc": 0.765, "val_loss": 0.4822232127189636, "val_acc": 0.74}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.38440415263175964, "train_acc": 0.855, "val_loss": 0.5070522427558899, "val_acc": 0.72}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3535909205675125, "train_acc": 0.865, "val_loss": 0.4215753972530365, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3451547920703888, "train_acc": 0.885, "val_loss": 0.3095073401927948, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2929111123085022, "train_acc": 0.87, "val_loss": 0.28785091638565063, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.27720344066619873, "train_acc": 0.92, "val_loss": 0.2698042392730713, "val_acc": 0.92}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7200331687927246, "final_val_loss": 0.6558791995048523, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.6157158017158508, "final_val_loss": 0.2698042392730713, "initial_val_acc": 0.7, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 10}, "improvement": 0.38, "first_improvement_epoch": 1}}
|
149
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.94, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2690, "learning_rate": 0.043267644886645217, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.2.weight": [
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[
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}
## Activation Signature
### 0
mean: [0.342442, 0.057723, 2.324445, -2.480173, 1.449723]
std: [2.091975, 1.862067, 2.453250, 2.386854, 2.799456]
pca: [[-0.401914, -0.290572, 0.621064, -0.595953, 0.114686, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.301440, -0.436027, 0.126242, 0.649502, 0.530306, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.399961, 0.528604, 0.677524, 0.222509, 0.228165, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.405538, 0.566786, -0.327704, -0.229857, 0.595036, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.650514, -0.353242, -0.178645, -0.347336, 0.547261, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.819822, 32.186619, 35.029802, 35.906421, 46.259505], [27.908506, 29.823934, 31.365546, 33.362638, 36.465986], [36.796845, 38.849785, 43.346069, 53.517766, 209.200048], [39.235011, 41.532425, 42.947868, 44.847057, 223.215598], [45.682415, 48.374934, 51.242514, 62.762826, 130.475051]]
### 2
mean: [-1.559698, 4.189676, -0.168998, 0.580589, -1.244164]
std: [1.078797, 4.183664, 0.838501, 1.760535, 0.732234]
pca: [[-0.194924, -0.230251, 0.744844, -0.588970, -0.085502, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.900963, 0.271447, 0.224103, -0.150532, 0.204207, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.141147, 0.251648, 0.622008, 0.715631, 0.133151, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.328172, 0.873377, -0.067339, -0.334567, 0.114214, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.150502, -0.217223, -0.059636, -0.079949, 0.959278, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.779607, 17.540788, 21.917010, 24.093536, 140.372817], [63.413287, 75.509463, 90.298646, 93.520720, 377.070848], [12.623764, 13.448520, 15.209813, 16.587606, 19.173954], [27.709530, 34.006162, 35.407930, 38.971312, 52.253008], [11.028099, 14.780760, 14.847950, 15.422889, 111.974720]]
### 4
mean: [-2.171706, -2.172163, -1.705158, 3.694783, -0.171479]
std: [1.483016, 1.211068, 1.023404, 4.906168, 2.037043]
pca: [[-0.245980, -0.554779, 0.145784, -0.682576, -0.380199, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.204232, -0.383487, 0.679875, 0.226607, 0.545570, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.164227, -0.465925, -0.134879, 0.692271, -0.508440, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.865935, -0.110680, 0.407661, 0.013935, -0.267443, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.347807, 0.561980, 0.576314, 0.057496, -0.477247, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.101478, 29.529014, 29.906300, 31.979017, 195.453502], [17.994431, 24.015793, 24.488492, 26.177641, 195.494720], [15.082494, 19.588467, 21.167491, 21.615401, 153.464201], [77.038308, 83.488618, 109.478437, 110.756591, 332.530504], [27.537566, 30.409074, 39.387699, 43.971235, 45.144090]]
### 6
mean: [-2.200960, 3.450972, 1.398633, 3.351027, 2.438773]
std: [1.729793, 4.425176, 1.766868, 4.316501, 3.140918]
pca: [[-0.229099, 0.936484, 0.190953, 0.084145, 0.164220, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.601927, 0.257236, -0.572867, -0.422127, 0.255236, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.240314, -0.116645, -0.018353, 0.698046, 0.664107, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.587212, 0.197242, 0.093279, 0.443253, -0.641173, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.427350, -0.065708, 0.791405, -0.361920, 0.236105, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.431366, 29.670517, 34.885243, 40.351475, 198.086390], [69.968183, 74.188493, 99.219609, 99.837118, 310.587485], [28.548313, 28.799594, 38.977252, 40.314732, 125.876983], [68.406283, 72.173817, 96.637291, 97.505585, 301.592510], [50.367178, 51.743053, 69.721359, 71.392565, 219.489557]]
### 8
mean: [-7.692309]
std: [9.844480]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[157.961016, 159.704880, 218.534019, 225.037651, 692.307796]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
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[
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],
[
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"network.2.bias": [
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"network.4.weight": [
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[
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[
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[
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"network.8.weight": [
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],
"network.8.bias": [
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}
## Activation Signature
### 0
mean: [0.342442, 0.057723, 2.324445, -2.480173, 1.449723]
std: [2.091975, 1.862067, 2.453250, 2.386854, 2.799456]
pca: [[-0.401914, -0.290572, 0.621064, -0.595953, 0.114686, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.301440, -0.436027, 0.126242, 0.649502, 0.530306, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.399961, 0.528604, 0.677524, 0.222509, 0.228165, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.405538, 0.566786, -0.327704, -0.229857, 0.595036, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.650514, -0.353242, -0.178645, -0.347336, 0.547261, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.819822, 32.186619, 35.029802, 35.906421, 46.259505], [27.908506, 29.823934, 31.365546, 33.362638, 36.465986], [36.796845, 38.849785, 43.346069, 53.517766, 209.200048], [39.235011, 41.532425, 42.947868, 44.847057, 223.215598], [45.682415, 48.374934, 51.242514, 62.762826, 130.475051]]
### 2
mean: [-1.559698, 4.189676, -0.168998, 0.580589, -1.244164]
std: [1.078797, 4.183664, 0.838501, 1.760535, 0.732234]
pca: [[-0.194924, -0.230251, 0.744844, -0.588970, -0.085502, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.900963, 0.271447, 0.224103, -0.150532, 0.204207, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.141147, 0.251648, 0.622008, 0.715631, 0.133151, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.328172, 0.873377, -0.067339, -0.334567, 0.114214, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.150502, -0.217223, -0.059636, -0.079949, 0.959278, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.779607, 17.540788, 21.917010, 24.093536, 140.372817], [63.413287, 75.509463, 90.298646, 93.520720, 377.070848], [12.623764, 13.448520, 15.209813, 16.587606, 19.173954], [27.709530, 34.006162, 35.407930, 38.971312, 52.253008], [11.028099, 14.780760, 14.847950, 15.422889, 111.974720]]
### 4
mean: [-2.171706, -2.172163, -1.705158, 3.694783, -0.171479]
std: [1.483016, 1.211068, 1.023404, 4.906168, 2.037043]
pca: [[-0.245980, -0.554779, 0.145784, -0.682576, -0.380199, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.204232, -0.383487, 0.679875, 0.226607, 0.545570, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.164227, -0.465925, -0.134879, 0.692271, -0.508440, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.865935, -0.110680, 0.407661, 0.013935, -0.267443, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.347807, 0.561980, 0.576314, 0.057496, -0.477247, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.101478, 29.529014, 29.906300, 31.979017, 195.453502], [17.994431, 24.015793, 24.488492, 26.177641, 195.494720], [15.082494, 19.588467, 21.167491, 21.615401, 153.464201], [77.038308, 83.488618, 109.478437, 110.756591, 332.530504], [27.537566, 30.409074, 39.387699, 43.971235, 45.144090]]
### 6
mean: [-2.200960, 3.450972, 1.398633, 3.351027, 2.438773]
std: [1.729793, 4.425176, 1.766868, 4.316501, 3.140918]
pca: [[-0.229099, 0.936484, 0.190953, 0.084145, 0.164220, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.601927, 0.257236, -0.572867, -0.422127, 0.255236, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.240314, -0.116645, -0.018353, 0.698046, 0.664107, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.587212, 0.197242, 0.093279, 0.443253, -0.641173, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.427350, -0.065708, 0.791405, -0.361920, 0.236105, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.431366, 29.670517, 34.885243, 40.351475, 198.086390], [69.968183, 74.188493, 99.219609, 99.837118, 310.587485], [28.548313, 28.799594, 38.977252, 40.314732, 125.876983], [68.406283, 72.173817, 96.637291, 97.505585, 301.592510], [50.367178, 51.743053, 69.721359, 71.392565, 219.489557]]
### 8
mean: [-7.692309]
std: [9.844480]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[157.961016, 159.704880, 218.534019, 225.037651, 692.307796]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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218.5340193244521, 225.0376507395332, 692.3077960014343]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.110052, -0.426394, 0.424286, 0.501773, -1.067453], [-0.21067, 0.364163, 0.354894, -0.050235, -0.89922], [-0.148346, -0.201214, 0.228594, 0.272207, 1.201483], [-0.827039, -0.279952, -0.498732, -0.026309, 0.104869], [1.146502, 0.061776, 0.119557, -0.242852, 0.483601]], "network.0.bias": [0.610595, 0.131734, 0.332639, 0.028042, -0.415007], "network.2.weight": [[0.200404, -0.491623, -0.431552, -0.180107, -0.062412], [-0.174302, -0.485815, 1.076539, -0.193592, 0.871019], [0.525076, -0.318305, -0.22909, -0.038401, 0.007603], [0.723362, 0.656566, -0.251699, 0.148222, -0.118739], [-0.104385, 0.025553, -0.205474, -0.027084, -0.178183]], "network.2.bias": [-0.274317, 0.677549, 0.060246, 0.16136, -0.363308], "network.4.weight": [[-0.162955, -0.397593, -0.194996, -0.250816, 0.27589], [0.199871, -0.313828, -0.321061, -0.09503, -0.294213], [-0.264016, -0.284199, -0.092489, -0.266553, -0.107754], [0.190867, 1.012945, -0.555278, -0.727328, 0.100025], [-0.001898, -0.30688, 0.19809, 0.782721, 0.156594]], "network.4.bias": [-0.190604, -0.674173, -0.2092, 0.352913, 0.241726], "network.6.weight": [[0.364904, 0.153756, -0.426441, -0.421119, -0.419795], [-0.353356, -0.348134, 0.070514, 0.889612, -0.419587], [-0.136771, 0.181988, -0.110694, 0.37267, -0.044631], [0.172848, -0.186782, -0.106527, 0.872151, -0.379238], [0.034689, -0.196395, -0.243158, 0.651411, -0.158769]], "network.6.bias": [-0.215584, 0.255644, -0.040188, 0.193868, -0.014487], "network.8.weight": [[-0.413124, -0.975, -0.426299, -1.184813, -0.01326]], "network.8.bias": [0.694262]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6839992105960846, "train_acc": 0.56, "val_loss": 0.6919544339179993, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6622769236564636, "train_acc": 0.56, "val_loss": 0.6460282802581787, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6283365488052368, "train_acc": 0.505, "val_loss": 0.5899892449378967, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5657767951488495, "train_acc": 0.505, "val_loss": 0.522341787815094, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.49578507244586945, "train_acc": 0.835, "val_loss": 0.4504532516002655, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.44982199370861053, "train_acc": 0.82, "val_loss": 0.4208005666732788, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4180939942598343, "train_acc": 0.845, "val_loss": 0.3905493915081024, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4023120105266571, "train_acc": 0.865, "val_loss": 0.3633534610271454, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3935326486825943, "train_acc": 0.865, "val_loss": 0.3552243113517761, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.37622973322868347, "train_acc": 0.87, "val_loss": 0.3600143790245056, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.36680832505226135, "train_acc": 0.875, "val_loss": 0.35013169050216675, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.33360323309898376, "train_acc": 0.88, "val_loss": 0.28878253698349, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6919544339179993, "final_val_loss": 0.6460282802581787, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5899892449378967, "final_val_loss": 0.28878253698349, "initial_val_acc": 0.48, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 11}, "improvement": 0.45999999999999996, "first_improvement_epoch": 1}}
|
150
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.76, "improved_accuracy": 0.92, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1426, "learning_rate": 0.07240027776714067, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
mean: [0.987829, 1.261739, 1.006811, 1.217929, 1.117763, 0.317568]
std: [1.368675, 1.555366, 2.104861, 1.962877, 1.706976, 1.510402]
pca: [[-0.092959, 0.862946, 0.088242, -0.200983, 0.008560, 0.445453, 0.000000, 0.000000, 0.000000, 0.000000], [0.385609, 0.236304, -0.399283, -0.303410, -0.603845, -0.423502, 0.000000, 0.000000, 0.000000, 0.000000], [0.523927, -0.017928, 0.733298, -0.369355, 0.147974, -0.170688, 0.000000, 0.000000, 0.000000, 0.000000], [0.503505, 0.070333, -0.513520, -0.049086, 0.688612, 0.035169, 0.000000, 0.000000, 0.000000, 0.000000], [0.420789, 0.238771, 0.157749, 0.846874, -0.152988, -0.020952, 0.000000, 0.000000, 0.000000, 0.000000], [0.370923, -0.370411, -0.080457, -0.107331, -0.340309, 0.769031, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.990400, 21.417962, 21.674357, 22.393280, 88.904635], [25.260046, 25.442889, 25.736651, 28.229800, 113.556489], [31.975926, 36.161037, 36.332284, 37.750123, 90.613014], [32.719245, 34.338428, 35.614531, 38.333263, 109.613576], [28.483863, 28.670506, 29.247115, 31.110802, 100.598642], [23.635714, 23.891174, 24.783458, 28.581102, 29.027784]]
### 2
mean: [-0.635388, 1.010656, 0.236109, 1.841497, 0.835789, 0.967881]
std: [0.284030, 3.605838, 0.647691, 3.923796, 2.648552, 3.342388]
pca: [[-0.030496, -0.174009, 0.514135, 0.323724, 0.253205, 0.731810, 0.000000, 0.000000, 0.000000, 0.000000], [0.527420, -0.040516, -0.441236, -0.479823, 0.354279, 0.412011, 0.000000, 0.000000, 0.000000, 0.000000], [-0.065725, 0.803795, -0.349626, 0.395278, -0.019602, 0.265945, 0.000000, 0.000000, 0.000000, 0.000000], [0.572900, 0.449872, 0.599594, -0.220984, -0.217406, -0.117425, 0.000000, 0.000000, 0.000000, 0.000000], [0.387268, -0.057709, 0.001877, 0.511302, 0.624911, -0.441300, 0.000000, 0.000000, 0.000000, 0.000000], [0.488249, -0.340996, -0.243354, 0.445492, -0.610091, 0.124256, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.987510, 4.076011, 4.798903, 5.101623, 57.184956], [61.273113, 61.801400, 63.783086, 64.334633, 90.958996], [9.100666, 9.105362, 9.485718, 11.729077, 21.249769], [67.136919, 70.414834, 70.681374, 71.328730, 165.734783], [45.001317, 45.055609, 45.451557, 48.838152, 75.221007], [54.748848, 57.167597, 57.950594, 60.263879, 87.109292]]
### 4
mean: [0.430535, 2.080429, 1.641032, 3.478010, -1.057320, 1.926435]
std: [0.988225, 4.330034, 2.973296, 5.967179, 2.630842, 3.108488]
pca: [[-0.105765, 0.937880, -0.182369, 0.008609, 0.198225, -0.191229, 0.000000, 0.000000, 0.000000, 0.000000], [0.481996, 0.212181, 0.684894, 0.029360, -0.405090, -0.297690, 0.000000, 0.000000, 0.000000, 0.000000], [0.331026, -0.133397, 0.210785, -0.352659, 0.811426, -0.213110, 0.000000, 0.000000, 0.000000, 0.000000], [0.664426, -0.016425, -0.388751, 0.623122, 0.116955, 0.071987, 0.000000, 0.000000, 0.000000, 0.000000], [-0.292754, 0.086301, 0.549640, 0.542298, 0.342097, 0.440030, 0.000000, 0.000000, 0.000000, 0.000000], [0.346048, 0.223265, 0.000075, -0.438552, -0.086530, 0.794096, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.039856, 17.070658, 18.868146, 19.070714, 38.748170], [73.158770, 77.178451, 82.601130, 82.893409, 187.238590], [50.575438, 51.998204, 57.171016, 57.399001, 147.692894], [103.223393, 103.344569, 114.329341, 114.724090, 313.020891], [44.772293, 44.900361, 51.017044, 51.407406, 95.158815], [52.425916, 54.762410, 59.686861, 60.006140, 173.379144]]
### 6
mean: [0.573774, -2.448874, 3.779696, -1.598846, 1.426160, 0.535701]
std: [0.381942, 3.325817, 8.221765, 1.811123, 0.679426, 0.761811]
pca: [[0.039419, 0.236422, 0.468049, 0.800697, -0.214990, 0.190115, 0.000000, 0.000000, 0.000000, 0.000000], [-0.365061, -0.271358, -0.006111, -0.205630, -0.559185, 0.661881, 0.000000, 0.000000, 0.000000, 0.000000], [0.903297, -0.083402, 0.131113, -0.197578, -0.076619, 0.339118, 0.000000, 0.000000, 0.000000, 0.000000], [-0.198343, -0.266004, 0.591484, -0.151166, 0.656150, 0.294389, 0.000000, 0.000000, 0.000000, 0.000000], [-0.062191, 0.711241, -0.334945, -0.045813, 0.328672, 0.517644, 0.000000, 0.000000, 0.000000, 0.000000], [-0.077614, 0.535622, 0.549237, -0.502606, -0.310905, -0.236957, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.703166, 6.876087, 6.899434, 7.528236, 51.639675], [56.277290, 58.187487, 63.796734, 64.563188, 220.398605], [140.839941, 143.881000, 158.387390, 158.450031, 340.172693], [30.759088, 31.218737, 34.377788, 35.177046, 143.896158], [10.252424, 11.467978, 11.475324, 11.551019, 128.354402], [12.373735, 13.096165, 13.714245, 13.827328, 48.213074]]
### 8
mean: [-0.726453, 1.637758, 0.610763, -0.466120, 0.679758, 1.833773]
std: [0.993378, 4.201631, 0.688589, 3.433102, 2.339346, 1.478658]
pca: [[-0.160286, -0.099886, -0.579887, 0.274674, 0.670853, -0.320270, 0.000000, 0.000000, 0.000000, 0.000000], [0.678096, 0.412392, -0.441387, 0.073663, 0.008446, 0.412066, 0.000000, 0.000000, 0.000000, 0.000000], [-0.109693, 0.222948, -0.130712, 0.727969, -0.548012, -0.301528, 0.000000, 0.000000, 0.000000, 0.000000], [-0.554609, 0.160461, 0.042833, 0.301317, 0.158716, 0.740839, 0.000000, 0.000000, 0.000000, 0.000000], [0.377996, 0.037951, 0.655841, 0.475590, 0.443510, -0.051613, 0.000000, 0.000000, 0.000000, 0.000000], [-0.228011, 0.862010, 0.140927, -0.268720, 0.166360, -0.291894, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.083093, 17.191630, 19.187387, 19.282626, 65.380753], [71.856400, 73.121021, 81.718027, 82.034719, 147.398225], [11.685872, 12.285689, 12.499600, 13.204448, 54.968646], [55.944907, 59.563545, 59.794103, 65.754513, 66.773756], [40.187598, 40.908784, 45.061634, 45.341050, 61.178186], [24.984654, 25.067421, 25.759077, 27.480329, 165.039552]]
### 10
mean: [-1.430577]
std: [3.389698]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[58.442928, 59.714782, 63.500151, 66.094969, 128.751899]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
mean: [0.987829, 1.261739, 1.006811, 1.217929, 1.117763, 0.317568]
std: [1.368675, 1.555366, 2.104861, 1.962877, 1.706976, 1.510402]
pca: [[-0.092959, 0.862946, 0.088242, -0.200983, 0.008560, 0.445453, 0.000000, 0.000000, 0.000000, 0.000000], [0.385609, 0.236304, -0.399283, -0.303410, -0.603845, -0.423502, 0.000000, 0.000000, 0.000000, 0.000000], [0.523927, -0.017928, 0.733298, -0.369355, 0.147974, -0.170688, 0.000000, 0.000000, 0.000000, 0.000000], [0.503505, 0.070333, -0.513520, -0.049086, 0.688612, 0.035169, 0.000000, 0.000000, 0.000000, 0.000000], [0.420789, 0.238771, 0.157749, 0.846874, -0.152988, -0.020952, 0.000000, 0.000000, 0.000000, 0.000000], [0.370923, -0.370411, -0.080457, -0.107331, -0.340309, 0.769031, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.990400, 21.417962, 21.674357, 22.393280, 88.904635], [25.260046, 25.442889, 25.736651, 28.229800, 113.556489], [31.975926, 36.161037, 36.332284, 37.750123, 90.613014], [32.719245, 34.338428, 35.614531, 38.333263, 109.613576], [28.483863, 28.670506, 29.247115, 31.110802, 100.598642], [23.635714, 23.891174, 24.783458, 28.581102, 29.027784]]
### 2
mean: [-0.635388, 1.010656, 0.236109, 1.841497, 0.835789, 0.967881]
std: [0.284030, 3.605838, 0.647691, 3.923796, 2.648552, 3.342388]
pca: [[-0.030496, -0.174009, 0.514135, 0.323724, 0.253205, 0.731810, 0.000000, 0.000000, 0.000000, 0.000000], [0.527420, -0.040516, -0.441236, -0.479823, 0.354279, 0.412011, 0.000000, 0.000000, 0.000000, 0.000000], [-0.065725, 0.803795, -0.349626, 0.395278, -0.019602, 0.265945, 0.000000, 0.000000, 0.000000, 0.000000], [0.572900, 0.449872, 0.599594, -0.220984, -0.217406, -0.117425, 0.000000, 0.000000, 0.000000, 0.000000], [0.387268, -0.057709, 0.001877, 0.511302, 0.624911, -0.441300, 0.000000, 0.000000, 0.000000, 0.000000], [0.488249, -0.340996, -0.243354, 0.445492, -0.610091, 0.124256, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.987510, 4.076011, 4.798903, 5.101623, 57.184956], [61.273113, 61.801400, 63.783086, 64.334633, 90.958996], [9.100666, 9.105362, 9.485718, 11.729077, 21.249769], [67.136919, 70.414834, 70.681374, 71.328730, 165.734783], [45.001317, 45.055609, 45.451557, 48.838152, 75.221007], [54.748848, 57.167597, 57.950594, 60.263879, 87.109292]]
### 4
mean: [0.430535, 2.080429, 1.641032, 3.478010, -1.057320, 1.926435]
std: [0.988225, 4.330034, 2.973296, 5.967179, 2.630842, 3.108488]
pca: [[-0.105765, 0.937880, -0.182369, 0.008609, 0.198225, -0.191229, 0.000000, 0.000000, 0.000000, 0.000000], [0.481996, 0.212181, 0.684894, 0.029360, -0.405090, -0.297690, 0.000000, 0.000000, 0.000000, 0.000000], [0.331026, -0.133397, 0.210785, -0.352659, 0.811426, -0.213110, 0.000000, 0.000000, 0.000000, 0.000000], [0.664426, -0.016425, -0.388751, 0.623122, 0.116955, 0.071987, 0.000000, 0.000000, 0.000000, 0.000000], [-0.292754, 0.086301, 0.549640, 0.542298, 0.342097, 0.440030, 0.000000, 0.000000, 0.000000, 0.000000], [0.346048, 0.223265, 0.000075, -0.438552, -0.086530, 0.794096, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.039856, 17.070658, 18.868146, 19.070714, 38.748170], [73.158770, 77.178451, 82.601130, 82.893409, 187.238590], [50.575438, 51.998204, 57.171016, 57.399001, 147.692894], [103.223393, 103.344569, 114.329341, 114.724090, 313.020891], [44.772293, 44.900361, 51.017044, 51.407406, 95.158815], [52.425916, 54.762410, 59.686861, 60.006140, 173.379144]]
### 6
mean: [0.573774, -2.448874, 3.779696, -1.598846, 1.426160, 0.535701]
std: [0.381942, 3.325817, 8.221765, 1.811123, 0.679426, 0.761811]
pca: [[0.039419, 0.236422, 0.468049, 0.800697, -0.214990, 0.190115, 0.000000, 0.000000, 0.000000, 0.000000], [-0.365061, -0.271358, -0.006111, -0.205630, -0.559185, 0.661881, 0.000000, 0.000000, 0.000000, 0.000000], [0.903297, -0.083402, 0.131113, -0.197578, -0.076619, 0.339118, 0.000000, 0.000000, 0.000000, 0.000000], [-0.198343, -0.266004, 0.591484, -0.151166, 0.656150, 0.294389, 0.000000, 0.000000, 0.000000, 0.000000], [-0.062191, 0.711241, -0.334945, -0.045813, 0.328672, 0.517644, 0.000000, 0.000000, 0.000000, 0.000000], [-0.077614, 0.535622, 0.549237, -0.502606, -0.310905, -0.236957, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.703166, 6.876087, 6.899434, 7.528236, 51.639675], [56.277290, 58.187487, 63.796734, 64.563188, 220.398605], [140.839941, 143.881000, 158.387390, 158.450031, 340.172693], [30.759088, 31.218737, 34.377788, 35.177046, 143.896158], [10.252424, 11.467978, 11.475324, 11.551019, 128.354402], [12.373735, 13.096165, 13.714245, 13.827328, 48.213074]]
### 8
mean: [-0.726453, 1.637758, 0.610763, -0.466120, 0.679758, 1.833773]
std: [0.993378, 4.201631, 0.688589, 3.433102, 2.339346, 1.478658]
pca: [[-0.160286, -0.099886, -0.579887, 0.274674, 0.670853, -0.320270, 0.000000, 0.000000, 0.000000, 0.000000], [0.678096, 0.412392, -0.441387, 0.073663, 0.008446, 0.412066, 0.000000, 0.000000, 0.000000, 0.000000], [-0.109693, 0.222948, -0.130712, 0.727969, -0.548012, -0.301528, 0.000000, 0.000000, 0.000000, 0.000000], [-0.554609, 0.160461, 0.042833, 0.301317, 0.158716, 0.740839, 0.000000, 0.000000, 0.000000, 0.000000], [0.377996, 0.037951, 0.655841, 0.475590, 0.443510, -0.051613, 0.000000, 0.000000, 0.000000, 0.000000], [-0.228011, 0.862010, 0.140927, -0.268720, 0.166360, -0.291894, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.083093, 17.191630, 19.187387, 19.282626, 65.380753], [71.856400, 73.121021, 81.718027, 82.034719, 147.398225], [11.685872, 12.285689, 12.499600, 13.204448, 54.968646], [55.944907, 59.563545, 59.794103, 65.754513, 66.773756], [40.187598, 40.908784, 45.061634, 45.341050, 61.178186], [24.984654, 25.067421, 25.759077, 27.480329, 165.039552]]
### 10
mean: [-1.430577]
std: [3.389698]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[58.442928, 59.714782, 63.500151, 66.094969, 128.751899]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
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[71.8564003412115, 73.12102103052518, 81.71802689285134, 82.03471928370288, 147.3982254564762]}, "2": {"mean": 0.6107627153396606, "std": 0.6885885000228882, "pca": [-0.10969313979148865, 0.22294780611991882, -0.13071177899837494, 0.7279694080352783, -0.548012375831604, -0.3015279769897461, 0.0, 0.0, 0.0, 0.0], "fourier": [11.685871853758433, 12.285689090406853, 12.499599669180306, 13.204448491914672, 54.968645602464676]}, "3": {"mean": -0.4661201536655426, "std": 3.4331016540527344, "pca": [-0.5546094179153442, 0.1604611724615097, 0.04283321648836136, 0.3013172745704651, 0.15871623158454895, 0.740839421749115, 0.0, 0.0, 0.0, 0.0], "fourier": [55.94490654324844, 59.563545015641, 59.79410308148394, 65.75451326241432, 66.77375645340437]}, "4": {"mean": 0.6797576546669006, "std": 2.339346170425415, "pca": [0.3779962658882141, 0.03795083984732628, 0.6558412909507751, 0.47558996081352234, 0.44350993633270264, -0.05161286145448685, 0.0, 0.0, 0.0, 0.0], "fourier": [40.18759773659811, 40.90878407511448, 45.061633789111944, 45.34104981643425, 61.17818636447191]}, "5": {"mean": 1.8337727785110474, "std": 1.4786580801010132, "pca": [-0.22801077365875244, 0.8620104789733887, 0.14092731475830078, -0.26872044801712036, 0.16636046767234802, -0.2918938994407654, 0.0, 0.0, 0.0, 0.0], "fourier": [24.984653899665656, 25.0674210678636, 25.759076628463763, 27.480328772014595, 165.03955161571503]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -1.4305768013000488, "std": 3.3896982669830322, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [58.442927673645116, 59.71478163955047, 63.50015050646957, 66.09496892447696, 128.75189888477325]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.100407, -0.060214, 0.026995, 0.638643, 0.100984], [0.69323, 0.216218, -0.107712, 0.061214, 0.053468], [0.653426, 0.558232, 0.151202, -0.0968, -0.481891], [0.937772, 0.163814, -0.100001, -0.048589, -0.030756], [0.810581, 0.056657, -0.105683, 0.199356, -0.429991], [0.564145, 0.2719, -0.039696, -0.350048, -0.146315]], "network.0.bias": [-0.327969, 0.03284, -0.337492, 0.103438, 0.329373, 0.134094], "network.2.weight": [[0.053437, 0.029754, 0.044347, 0.217289, -0.365061, -0.185912], [-0.920635, 0.322695, 0.229311, 0.403715, 0.61457, 0.679625], [0.217879, 0.151741, -0.085163, -0.275857, 0.462693, -0.456333], [-0.683562, 0.312842, 0.079373, 0.870971, 0.438559, 0.728789], [-0.694505, 0.495634, 0.363188, 0.453301, 0.155644, -0.008225], [-0.810189, 0.270067, 0.567479, 0.62221, 0.058399, 0.379622]], "network.2.bias": [-0.46437, -0.466561, -0.012695, -0.092018, -0.273665, -0.35592], "network.4.weight": [[0.284654, -0.206866, 0.59271, 0.18157, 0.163872, -0.434848], [-0.474157, 0.421893, -0.115782, 0.731754, -0.087413, 0.180465], [-0.569631, 0.366962, -0.16539, 0.349089, -0.321482, 0.44153], [-0.075864, 0.34151, -0.187729, 0.354976, 0.704115, 0.684031], [0.24932, -0.497699, 0.083077, 0.16951, -0.47699, -0.208784], [0.191693, 0.451015, 0.026067, 0.285833, 0.120383, 0.135955]], "network.4.bias": [0.654348, -0.382245, 0.012656, 0.14779, 0.361302, 0.135801], "network.6.weight": [[0.192293, 0.298256, -0.192345, -0.11105, 0.288886, 0.145776], [-0.197423, -0.265291, -0.1447, -0.217297, -0.221342, -0.19241], [-0.57489, 0.449402, 0.575282, 0.564359, -0.129321, 0.339041], [-0.333604, 0.046985, 0.192078, -0.306768, -0.321454, -0.293134], [1.044382, -0.073288, -0.088659, -0.01295, 0.799559, 0.187934], [0.635913, 0.014775, 0.290486, -0.303515, 0.808544, 0.174153]], "network.6.bias": [0.099811, -0.260528, -0.426808, -0.078742, 0.488476, 0.07628], "network.8.weight": [[0.322375, -0.297982, -0.144462, 0.320442, -0.161894, 0.155278], [0.002844, 0.30531, 0.513803, -0.355886, -0.343821, 0.125968], [0.448225, -0.060501, -0.085873, -0.152603, 0.21063, 0.097326], [0.333819, 0.401247, -0.39722, -0.297435, 0.595595, 0.191129], [-0.066259, -0.08835, 0.27615, -0.280052, -0.078772, -0.354846], [0.03568, 0.122798, -0.083712, 0.208108, 1.007046, 0.449922]], "network.8.bias": [-0.159845, -0.199168, 0.359201, 0.089366, -0.124704, 0.427424], "network.10.weight": [[-0.173964, 0.455129, -0.185003, -0.508538, 0.228646, -0.676241]], "network.10.bias": [-0.646883]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6802957057952881, "train_acc": 0.58, "val_loss": 0.7035270929336548, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6807636916637421, "train_acc": 0.58, "val_loss": 0.6298567652702332, "val_acc": 0.76}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5770879983901978, "train_acc": 0.69, "val_loss": 0.46218398213386536, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.43549923598766327, "train_acc": 0.89, "val_loss": 0.27477484941482544, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.2160807102918625, "train_acc": 0.93, "val_loss": 0.3170374035835266, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2459615394473076, "train_acc": 0.935, "val_loss": 0.6889996528625488, "val_acc": 0.52}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.48923154175281525, "train_acc": 0.655, "val_loss": 0.3337613046169281, "val_acc": 0.92}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7035270929336548, "final_val_loss": 0.6298567652702332, "initial_val_acc": 0.52, "final_val_acc": 0.76, "best_val_acc": 0.76}, "improved_stage": {"initial_val_loss": 0.46218398213386536, "final_val_loss": 0.3337613046169281, "initial_val_acc": 0.86, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 4}, "improvement": 0.16000000000000003, "first_improvement_epoch": 1}}
|
151
|
{"target_pattern": "alternating", "degraded_accuracy": 0.52, "improved_accuracy": 0.96, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3927, "learning_rate": 0.052724949321438556, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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],
[
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[
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[
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[
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[
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],
[
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]
],
"network.0.bias": [
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0.435672,
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],
"network.2.weight": [
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[
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[
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[
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0.884034,
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],
[
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[
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0.177092
],
[
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0.245953,
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],
"network.2.bias": [
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"network.4.weight": [
[
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"network.6.weight": [
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[
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],
"network.6.bias": [
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"network.8.weight": [
[
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[
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"network.8.bias": [
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"network.10.weight": [
[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [0.984654, 0.919842, -1.174872, 0.791104, -0.881763, -1.178634, -2.420741]
std: [2.074827, 1.613187, 2.080625, 1.610721, 1.539154, 2.102209, 3.164711]
pca: [[-0.226582, 0.522841, -0.402737, 0.478595, 0.502416, 0.174559, -0.033992, 0.000000, 0.000000, 0.000000], [-0.002602, -0.513706, -0.138501, -0.117255, 0.358597, 0.377053, -0.657577, 0.000000, 0.000000, 0.000000], [-0.397941, 0.243447, 0.536784, -0.425664, 0.253354, 0.465516, 0.179321, 0.000000, 0.000000, 0.000000], [0.049926, -0.497340, -0.249856, 0.151332, 0.103047, 0.403037, 0.701265, 0.000000, 0.000000, 0.000000], [0.204314, -0.219538, 0.550294, 0.338150, 0.579698, -0.385808, 0.089402, 0.000000, 0.000000, 0.000000], [0.457737, 0.167592, 0.357556, 0.460564, -0.319741, 0.545056, -0.152001, 0.000000, 0.000000, 0.000000], [0.732487, 0.282570, -0.193354, -0.476069, 0.325416, 0.047772, 0.106822, 0.000000, 0.000000, 0.000000]]
fourier: [[32.331357, 32.990036, 34.819213, 37.386303, 88.618817], [24.433829, 24.787212, 26.975572, 30.838910, 82.785799], [27.637941, 28.552272, 37.088724, 41.897253, 105.738502], [24.113303, 25.124063, 25.829461, 27.751621, 71.199322], [24.256950, 24.855399, 25.234048, 28.053754, 79.358663], [37.229386, 38.514963, 40.677960, 41.561760, 106.077012], [53.878945, 58.832513, 62.009098, 66.723568, 217.866716]]
### 2
mean: [-1.309495, 0.331019, 0.013815, 0.971460, -0.283216, 0.017338, -0.342596]
std: [0.642200, 1.656731, 0.921920, 0.893050, 1.192551, 2.317995, 1.783056]
pca: [[0.053585, -0.033537, 0.672308, -0.550331, -0.095264, -0.133123, 0.462975, 0.000000, 0.000000, 0.000000], [-0.477083, -0.110332, 0.198215, 0.266917, -0.350603, 0.696307, 0.204741, 0.000000, 0.000000, 0.000000], [0.113762, 0.514703, -0.511615, -0.102828, -0.092923, 0.104918, 0.655876, 0.000000, 0.000000, 0.000000], [0.053980, -0.566276, -0.066958, 0.495966, -0.036559, -0.394671, 0.518507, 0.000000, 0.000000, 0.000000], [0.199428, 0.571820, 0.490690, 0.606803, 0.124016, -0.090420, 0.026601, 0.000000, 0.000000, 0.000000], [0.668069, -0.271359, 0.040352, 0.005411, 0.384452, 0.567379, 0.093104, 0.000000, 0.000000, 0.000000], [-0.517278, 0.022382, 0.008621, -0.033112, 0.833576, 0.023813, 0.187981, 0.000000, 0.000000, 0.000000]]
fourier: [[9.263033, 10.368898, 10.507206, 10.898551, 117.854535], [24.580014, 24.635815, 28.183960, 29.423468, 29.791713], [12.671825, 13.017442, 15.459998, 15.805562, 17.774975], [13.023405, 14.532797, 15.839792, 18.418357, 87.431434], [19.984286, 20.215143, 21.422945, 25.196682, 25.489474], [31.850304, 32.637283, 34.657662, 36.547636, 36.879363], [24.723020, 26.126734, 27.238703, 30.833632, 31.856137]]
### 4
mean: [-0.422801, -0.548917, 1.712441, -0.849218, -0.297776, 1.144108, 1.082366]
std: [1.349128, 1.058706, 1.995793, 1.368274, 1.279107, 1.318241, 1.418645]
pca: [[-0.373250, 0.207167, -0.161339, -0.138217, -0.255691, -0.043872, 0.839839, 0.000000, 0.000000, 0.000000], [-0.280475, 0.309996, -0.152773, 0.307396, 0.084324, 0.829458, -0.110876, 0.000000, 0.000000, 0.000000], [0.553851, -0.268706, -0.187041, 0.642670, 0.066613, 0.062557, 0.405816, 0.000000, 0.000000, 0.000000], [-0.330754, -0.521469, 0.719044, 0.125271, 0.130994, 0.181103, 0.189728, 0.000000, 0.000000, 0.000000], [-0.351949, 0.228924, -0.089167, 0.320516, 0.737049, -0.411273, 0.025645, 0.000000, 0.000000, 0.000000], [0.369725, 0.000092, 0.011290, -0.578154, 0.596643, 0.316698, 0.269506, 0.000000, 0.000000, 0.000000], [0.324506, 0.681503, 0.624935, 0.143854, -0.081796, -0.062611, 0.091666, 0.000000, 0.000000, 0.000000]]
fourier: [[21.608521, 22.034677, 27.421126, 27.492651, 38.052073], [16.845199, 17.846332, 20.721512, 22.496956, 49.402517], [30.465918, 30.912329, 38.422269, 40.082007, 154.119639], [18.904559, 20.119930, 21.410810, 26.422164, 76.429590], [19.864805, 20.485416, 26.458929, 26.746036, 26.799815], [19.241382, 19.574884, 25.044100, 28.557978, 102.969712], [19.314502, 22.056629, 24.065504, 28.054108, 97.412909]]
### 6
mean: [1.915063, 2.092160, 0.673273, 0.132593, 1.906323, 2.151449, 1.036593]
std: [2.527478, 2.498778, 0.848419, 0.632531, 2.494307, 2.600847, 1.430396]
pca: [[0.471860, -0.491406, 0.206313, 0.317922, -0.098681, -0.429752, -0.444751, 0.000000, 0.000000, 0.000000], [0.469063, 0.279411, -0.110978, -0.129087, 0.767724, 0.134956, -0.255571, 0.000000, 0.000000, 0.000000], [0.156825, -0.019988, -0.397307, 0.633751, -0.178530, 0.612110, -0.094665, 0.000000, 0.000000, 0.000000], [0.099701, 0.320677, 0.710918, 0.483280, 0.120870, 0.037497, 0.363659, 0.000000, 0.000000, 0.000000], [0.467606, -0.290648, 0.317743, -0.477884, -0.249795, 0.525298, 0.170877, 0.000000, 0.000000, 0.000000], [0.488509, 0.059110, -0.424857, 0.040600, -0.091058, -0.365744, 0.658524, 0.000000, 0.000000, 0.000000], [0.255924, 0.699462, 0.019931, -0.130540, -0.532626, -0.106346, -0.364443, 0.000000, 0.000000, 0.000000]]
fourier: [[37.123171, 43.156137, 49.521107, 52.793031, 172.355703], [33.339611, 39.177872, 43.286465, 54.615045, 188.294424], [12.766237, 12.799603, 14.571795, 18.626948, 60.594567], [9.780380, 9.834463, 10.302934, 11.933408, 12.310357], [36.013287, 42.159601, 47.815839, 52.475315, 171.569035], [36.533536, 40.723770, 45.873026, 56.519563, 193.630422], [19.725840, 20.298075, 20.438738, 30.992974, 93.293368]]
### 8
mean: [-5.195884, 3.922949, 2.650576, -4.375053, -0.729972, 5.066913, -5.278956]
std: [6.703106, 4.561953, 3.629391, 5.764368, 0.398782, 5.792965, 6.453158]
pca: [[0.489536, 0.378100, 0.086857, 0.487357, -0.017204, 0.428332, -0.434246, 0.000000, 0.000000, 0.000000], [-0.333155, 0.342230, -0.045007, 0.596082, 0.400340, -0.067774, 0.499680, 0.000000, 0.000000, 0.000000], [-0.265044, -0.099336, 0.774390, -0.178305, 0.285156, 0.455026, 0.007028, 0.000000, 0.000000, 0.000000], [0.420959, -0.494765, -0.257037, 0.033010, 0.150320, 0.485602, 0.502431, 0.000000, 0.000000, 0.000000], [0.028998, -0.224597, -0.235067, -0.053831, 0.811927, -0.154970, -0.455325, 0.000000, 0.000000, 0.000000], [-0.423060, 0.347083, -0.509266, -0.333087, -0.000905, 0.567488, -0.090612, 0.000000, 0.000000, 0.000000], [0.471260, 0.560667, 0.100373, -0.510335, 0.276217, -0.151730, 0.306157, 0.000000, 0.000000, 0.000000]]
fourier: [[97.898165, 99.863177, 107.132786, 147.868985, 467.629607], [67.552252, 68.598436, 73.654397, 100.291430, 353.065427], [52.607702, 54.697644, 58.152090, 80.146874, 238.551892], [85.115619, 87.033377, 93.388994, 126.792950, 393.754791], [5.947601, 6.403385, 6.781570, 8.699785, 65.697511], [85.838201, 86.812106, 93.663179, 127.370152, 456.022167], [94.095572, 95.819050, 102.641991, 142.350664, 475.106048]]
### 10
mean: [-4.343574]
std: [6.700421]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[94.938405, 105.337874, 108.711469, 146.891068, 390.921617]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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[
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],
[
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]
],
"network.0.bias": [
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0.435672,
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],
"network.2.weight": [
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[
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[
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[
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[
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[
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[
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],
"network.2.bias": [
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0.042658,
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[
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[
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],
"network.6.bias": [
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"network.8.weight": [
[
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[
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[
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"network.10.weight": [
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"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [0.984654, 0.919842, -1.174872, 0.791104, -0.881763, -1.178634, -2.420741]
std: [2.074827, 1.613187, 2.080625, 1.610721, 1.539154, 2.102209, 3.164711]
pca: [[-0.226582, 0.522841, -0.402737, 0.478595, 0.502416, 0.174559, -0.033992, 0.000000, 0.000000, 0.000000], [-0.002602, -0.513706, -0.138501, -0.117255, 0.358597, 0.377053, -0.657577, 0.000000, 0.000000, 0.000000], [-0.397941, 0.243447, 0.536784, -0.425664, 0.253354, 0.465516, 0.179321, 0.000000, 0.000000, 0.000000], [0.049926, -0.497340, -0.249856, 0.151332, 0.103047, 0.403037, 0.701265, 0.000000, 0.000000, 0.000000], [0.204314, -0.219538, 0.550294, 0.338150, 0.579698, -0.385808, 0.089402, 0.000000, 0.000000, 0.000000], [0.457737, 0.167592, 0.357556, 0.460564, -0.319741, 0.545056, -0.152001, 0.000000, 0.000000, 0.000000], [0.732487, 0.282570, -0.193354, -0.476069, 0.325416, 0.047772, 0.106822, 0.000000, 0.000000, 0.000000]]
fourier: [[32.331357, 32.990036, 34.819213, 37.386303, 88.618817], [24.433829, 24.787212, 26.975572, 30.838910, 82.785799], [27.637941, 28.552272, 37.088724, 41.897253, 105.738502], [24.113303, 25.124063, 25.829461, 27.751621, 71.199322], [24.256950, 24.855399, 25.234048, 28.053754, 79.358663], [37.229386, 38.514963, 40.677960, 41.561760, 106.077012], [53.878945, 58.832513, 62.009098, 66.723568, 217.866716]]
### 2
mean: [-1.309495, 0.331019, 0.013815, 0.971460, -0.283216, 0.017338, -0.342596]
std: [0.642200, 1.656731, 0.921920, 0.893050, 1.192551, 2.317995, 1.783056]
pca: [[0.053585, -0.033537, 0.672308, -0.550331, -0.095264, -0.133123, 0.462975, 0.000000, 0.000000, 0.000000], [-0.477083, -0.110332, 0.198215, 0.266917, -0.350603, 0.696307, 0.204741, 0.000000, 0.000000, 0.000000], [0.113762, 0.514703, -0.511615, -0.102828, -0.092923, 0.104918, 0.655876, 0.000000, 0.000000, 0.000000], [0.053980, -0.566276, -0.066958, 0.495966, -0.036559, -0.394671, 0.518507, 0.000000, 0.000000, 0.000000], [0.199428, 0.571820, 0.490690, 0.606803, 0.124016, -0.090420, 0.026601, 0.000000, 0.000000, 0.000000], [0.668069, -0.271359, 0.040352, 0.005411, 0.384452, 0.567379, 0.093104, 0.000000, 0.000000, 0.000000], [-0.517278, 0.022382, 0.008621, -0.033112, 0.833576, 0.023813, 0.187981, 0.000000, 0.000000, 0.000000]]
fourier: [[9.263033, 10.368898, 10.507206, 10.898551, 117.854535], [24.580014, 24.635815, 28.183960, 29.423468, 29.791713], [12.671825, 13.017442, 15.459998, 15.805562, 17.774975], [13.023405, 14.532797, 15.839792, 18.418357, 87.431434], [19.984286, 20.215143, 21.422945, 25.196682, 25.489474], [31.850304, 32.637283, 34.657662, 36.547636, 36.879363], [24.723020, 26.126734, 27.238703, 30.833632, 31.856137]]
### 4
mean: [-0.422801, -0.548917, 1.712441, -0.849218, -0.297776, 1.144108, 1.082366]
std: [1.349128, 1.058706, 1.995793, 1.368274, 1.279107, 1.318241, 1.418645]
pca: [[-0.373250, 0.207167, -0.161339, -0.138217, -0.255691, -0.043872, 0.839839, 0.000000, 0.000000, 0.000000], [-0.280475, 0.309996, -0.152773, 0.307396, 0.084324, 0.829458, -0.110876, 0.000000, 0.000000, 0.000000], [0.553851, -0.268706, -0.187041, 0.642670, 0.066613, 0.062557, 0.405816, 0.000000, 0.000000, 0.000000], [-0.330754, -0.521469, 0.719044, 0.125271, 0.130994, 0.181103, 0.189728, 0.000000, 0.000000, 0.000000], [-0.351949, 0.228924, -0.089167, 0.320516, 0.737049, -0.411273, 0.025645, 0.000000, 0.000000, 0.000000], [0.369725, 0.000092, 0.011290, -0.578154, 0.596643, 0.316698, 0.269506, 0.000000, 0.000000, 0.000000], [0.324506, 0.681503, 0.624935, 0.143854, -0.081796, -0.062611, 0.091666, 0.000000, 0.000000, 0.000000]]
fourier: [[21.608521, 22.034677, 27.421126, 27.492651, 38.052073], [16.845199, 17.846332, 20.721512, 22.496956, 49.402517], [30.465918, 30.912329, 38.422269, 40.082007, 154.119639], [18.904559, 20.119930, 21.410810, 26.422164, 76.429590], [19.864805, 20.485416, 26.458929, 26.746036, 26.799815], [19.241382, 19.574884, 25.044100, 28.557978, 102.969712], [19.314502, 22.056629, 24.065504, 28.054108, 97.412909]]
### 6
mean: [1.915063, 2.092160, 0.673273, 0.132593, 1.906323, 2.151449, 1.036593]
std: [2.527478, 2.498778, 0.848419, 0.632531, 2.494307, 2.600847, 1.430396]
pca: [[0.471860, -0.491406, 0.206313, 0.317922, -0.098681, -0.429752, -0.444751, 0.000000, 0.000000, 0.000000], [0.469063, 0.279411, -0.110978, -0.129087, 0.767724, 0.134956, -0.255571, 0.000000, 0.000000, 0.000000], [0.156825, -0.019988, -0.397307, 0.633751, -0.178530, 0.612110, -0.094665, 0.000000, 0.000000, 0.000000], [0.099701, 0.320677, 0.710918, 0.483280, 0.120870, 0.037497, 0.363659, 0.000000, 0.000000, 0.000000], [0.467606, -0.290648, 0.317743, -0.477884, -0.249795, 0.525298, 0.170877, 0.000000, 0.000000, 0.000000], [0.488509, 0.059110, -0.424857, 0.040600, -0.091058, -0.365744, 0.658524, 0.000000, 0.000000, 0.000000], [0.255924, 0.699462, 0.019931, -0.130540, -0.532626, -0.106346, -0.364443, 0.000000, 0.000000, 0.000000]]
fourier: [[37.123171, 43.156137, 49.521107, 52.793031, 172.355703], [33.339611, 39.177872, 43.286465, 54.615045, 188.294424], [12.766237, 12.799603, 14.571795, 18.626948, 60.594567], [9.780380, 9.834463, 10.302934, 11.933408, 12.310357], [36.013287, 42.159601, 47.815839, 52.475315, 171.569035], [36.533536, 40.723770, 45.873026, 56.519563, 193.630422], [19.725840, 20.298075, 20.438738, 30.992974, 93.293368]]
### 8
mean: [-5.195884, 3.922949, 2.650576, -4.375053, -0.729972, 5.066913, -5.278956]
std: [6.703106, 4.561953, 3.629391, 5.764368, 0.398782, 5.792965, 6.453158]
pca: [[0.489536, 0.378100, 0.086857, 0.487357, -0.017204, 0.428332, -0.434246, 0.000000, 0.000000, 0.000000], [-0.333155, 0.342230, -0.045007, 0.596082, 0.400340, -0.067774, 0.499680, 0.000000, 0.000000, 0.000000], [-0.265044, -0.099336, 0.774390, -0.178305, 0.285156, 0.455026, 0.007028, 0.000000, 0.000000, 0.000000], [0.420959, -0.494765, -0.257037, 0.033010, 0.150320, 0.485602, 0.502431, 0.000000, 0.000000, 0.000000], [0.028998, -0.224597, -0.235067, -0.053831, 0.811927, -0.154970, -0.455325, 0.000000, 0.000000, 0.000000], [-0.423060, 0.347083, -0.509266, -0.333087, -0.000905, 0.567488, -0.090612, 0.000000, 0.000000, 0.000000], [0.471260, 0.560667, 0.100373, -0.510335, 0.276217, -0.151730, 0.306157, 0.000000, 0.000000, 0.000000]]
fourier: [[97.898165, 99.863177, 107.132786, 147.868985, 467.629607], [67.552252, 68.598436, 73.654397, 100.291430, 353.065427], [52.607702, 54.697644, 58.152090, 80.146874, 238.551892], [85.115619, 87.033377, 93.388994, 126.792950, 393.754791], [5.947601, 6.403385, 6.781570, 8.699785, 65.697511], [85.838201, 86.812106, 93.663179, 127.370152, 456.022167], [94.095572, 95.819050, 102.641991, 142.350664, 475.106048]]
### 10
mean: [-4.343574]
std: [6.700421]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[94.938405, 105.337874, 108.711469, 146.891068, 390.921617]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.089391, 0.761813, 0.399589, -0.490897, -0.522852], [-0.298459, -0.366788, 0.253958, 0.265111, 0.622153], [0.715647, -0.331598, 0.16227, -0.579936, -0.184865], [-0.356143, -0.163659, 0.185798, 0.345329, 0.631785], [-0.231739, -0.022455, -0.619867, -0.139216, 0.538416], [-0.259753, 0.382435, -0.96135, 0.07917, -0.121265], [-0.847826, 0.178548, -0.650814, 0.41145, -0.796896]], "network.0.bias": [0.348075, 0.093298, -0.328531, -0.375328, 0.376871, 0.435672, -0.231039], "network.2.weight": [[-0.10543, -0.069339, -0.277208, -0.251765, -0.132781, -0.45936, -0.449027], [-0.354626, 0.386926, -0.580879, 0.421384, 0.351515, -0.079895, -0.02768], [-0.139924, -0.022089, 0.384705, -0.099257, -0.880277, 0.368845, 0.601196], [0.497223, -0.000156, -0.003022, 0.108296, 0.884034, -0.018761, -0.335627], [-0.021032, -0.472347, -0.478488, -0.081974, -0.565597, 0.376047, 0.444959], [0.803613, -0.558805, 0.484129, -0.574043, 0.371287, -0.540749, 0.177092], [-0.622534, 0.323056, -0.212195, 0.3553, 0.483525, 0.245953, -0.18851]], "network.2.bias": [-0.585259, 0.085268, 0.179998, 0.137951, 0.433866, 0.042658, -0.291872], "network.4.weight": [[-0.198523, -0.323289, 0.475535, 0.036903, 0.355225, -0.848608, -0.114995], [-0.346033, -0.367791, 0.22579, 0.178345, 0.388202, -0.768564, 0.107736], [-0.458245, 0.349272, -0.414235, 0.312301, -0.37832, 1.12499, 0.283996], [-0.221276, -0.189456, -0.035029, -0.546353, -0.028726, -0.373575, -0.740123], [-0.394908, -0.188234, 0.229285, 0.118172, 0.531344, -0.845548, -0.270008], [-0.383629, 0.348411, -0.384901, -0.137624, -0.25518, 0.855345, 0.389704], [0.202832, 0.513207, -0.621012, 0.148875, -0.605498, 0.328138, 0.366207]], "network.4.bias": [0.313839, -0.034858, 0.266758, 0.352679, 0.330088, 0.256543, 0.43925], "network.6.weight": [[-0.634338, -0.589594, 0.714171, -0.524693, -0.462564, 0.612647, -0.052257], [-0.65457, -0.165994, 0.459375, -0.325691, -0.344566, 0.617401, 0.534155], [-0.291552, 0.49759, 0.161974, -0.336515, -0.083068, 0.306013, 0.105733], [-0.202638, -0.222741, -0.173875, -0.368182, -0.46783, 0.317226, 0.176754], [-0.457353, -0.608044, 0.754744, -0.240617, -0.734743, 0.369771, 0.135878], [-0.571412, -0.258337, 0.638301, -0.561805, -0.140865, 0.564184, 0.438161], [-0.199854, -0.198893, 0.098502, -0.535454, -0.220349, 0.24585, 0.694808]], "network.6.bias": [0.301867, 0.215232, -0.00638, 0.0246, 0.309069, 0.079018, -0.096492], "network.8.weight": [[-0.4278, -0.747201, -0.59097, -0.813831, -0.402746, -0.646054, -0.649689], [0.458147, 0.181521, 0.397497, 0.258272, 0.451294, 0.339394, 0.7021], [0.305039, 0.437739, 0.979123, 0.489672, 0.211702, 0.013649, 0.395049], [-0.410252, -0.629921, -0.761867, -0.570268, -0.475235, -0.394876, -0.457946], [0.062121, -0.105914, -0.067638, -0.053633, 0.086657, -0.266917, 0.195078], [0.363975, 0.638781, 0.274851, 0.612052, 0.556982, 0.524256, 0.452381], [-0.299401, -0.541476, -0.426669, -0.52114, -0.462846, -0.810863, -0.804017]], "network.8.bias": [0.834938, -0.170252, -0.543901, 0.799735, -0.364811, -0.185078, 0.537965], "network.10.weight": [[0.886266, -0.198102, -0.368917, 0.81244, -0.293847, -0.692817, 0.572073]], "network.10.bias": [0.437532]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6906150877475739, "train_acc": 0.575, "val_loss": 0.6751904487609863, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6319146752357483, "train_acc": 0.575, "val_loss": 0.5783737301826477, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5897716283798218, "train_acc": 0.605, "val_loss": 0.48306596279144287, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.41754330694675446, "train_acc": 0.9, "val_loss": 0.8854476809501648, "val_acc": 0.66}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.47430357336997986, "train_acc": 0.83, "val_loss": 0.2872355282306671, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2753809094429016, "train_acc": 0.965, "val_loss": 0.25942057371139526, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2657812833786011, "train_acc": 0.915, "val_loss": 0.21776238083839417, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.21181849390268326, "train_acc": 0.945, "val_loss": 0.18284279108047485, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.14312595129013062, "train_acc": 0.965, "val_loss": 0.1357308328151703, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.10437899827957153, "train_acc": 0.975, "val_loss": 0.18014930188655853, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.06794064119458199, "train_acc": 0.975, "val_loss": 0.18235331773757935, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.02980754431337118, "train_acc": 0.985, "val_loss": 0.1788046658039093, "val_acc": 0.96}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6751904487609863, "final_val_loss": 0.5783737301826477, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.48306596279144287, "final_val_loss": 0.1788046658039093, "initial_val_acc": 0.88, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 8}, "improvement": 0.43999999999999995, "first_improvement_epoch": 1}}
|
152
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.48, "improved_accuracy": 0.9, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7363, "learning_rate": 0.0729295261584931, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.0.bias": [
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]
}
## Activation Signature
### 0
mean: [2.224679, -4.053293, -0.202214, -2.820752, 1.420548, 2.186120]
std: [2.885627, 2.453884, 2.406301, 1.791371, 2.606000, 3.354712]
pca: [[0.465983, -0.294049, 0.573547, 0.061699, 0.600411, -0.056020, 0.000000, 0.000000, 0.000000, 0.000000], [-0.350417, 0.529984, 0.216022, 0.496650, 0.227352, -0.501307, 0.000000, 0.000000, 0.000000, 0.000000], [-0.367432, -0.275271, -0.558691, 0.027537, 0.687189, 0.064004, 0.000000, 0.000000, 0.000000, 0.000000], [-0.103784, 0.610068, 0.185782, -0.289157, 0.291597, 0.643343, 0.000000, 0.000000, 0.000000, 0.000000], [0.419896, 0.365472, -0.327078, -0.543405, 0.174039, -0.507502, 0.000000, 0.000000, 0.000000, 0.000000], [0.581359, 0.226107, -0.413215, 0.608171, 0.016456, 0.264590, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.522636, 43.654867, 48.757217, 51.527887, 200.221153], [38.850093, 40.149136, 48.833258, 51.351691, 364.796325], [36.009517, 36.523196, 38.115606, 39.760008, 49.464834], [28.122200, 30.019831, 31.306034, 33.010818, 253.867674], [37.939846, 39.165195, 43.835605, 53.810475, 127.849347], [51.118783, 52.801135, 60.236777, 61.108294, 196.750776]]
### 2
mean: [-2.192222, -1.783625, 5.927651, -0.333357, -0.651814, -1.172459]
std: [1.896643, 1.074425, 6.345076, 1.924413, 0.136914, 0.751186]
pca: [[-0.268118, -0.116693, 0.555898, -0.410367, -0.653620, 0.099253, 0.000000, 0.000000, 0.000000, 0.000000], [-0.133075, -0.474058, 0.522558, 0.678179, 0.156464, -0.009248, 0.000000, 0.000000, 0.000000, 0.000000], [0.914159, 0.124978, 0.377427, -0.008711, -0.063907, 0.045642, 0.000000, 0.000000, 0.000000, 0.000000], [-0.254303, 0.848188, 0.340252, 0.259277, 0.102240, 0.149859, 0.000000, 0.000000, 0.000000, 0.000000], [0.005965, -0.142609, -0.057121, -0.081096, 0.172573, 0.969539, 0.000000, 0.000000, 0.000000, 0.000000], [-0.100061, -0.079194, 0.395505, -0.545706, 0.709916, -0.159738, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.148023, 31.054496, 31.196512, 33.444677, 197.299969], [17.541485, 19.031647, 20.216143, 20.384577, 160.526268], [99.834581, 104.191334, 105.408838, 111.179339, 533.488558], [28.781388, 30.002164, 30.982895, 32.207805, 34.854205], [2.103956, 2.114500, 2.475577, 2.574243, 58.663284], [11.018156, 11.297780, 13.285025, 14.101406, 105.521297]]
### 4
mean: [-2.988383, -2.438412, 3.675555, 6.952765, -1.847868, -1.196719]
std: [2.972834, 3.666089, 4.569300, 7.157035, 1.821520, 0.974541]
pca: [[-0.297967, -0.555727, 0.468729, 0.520123, 0.134290, -0.306781, 0.000000, 0.000000, 0.000000, 0.000000], [-0.367728, 0.643681, 0.234611, 0.505978, -0.142006, 0.345296, 0.000000, 0.000000, 0.000000, 0.000000], [0.460891, 0.036275, -0.543228, 0.675412, 0.031815, -0.184321, 0.000000, 0.000000, 0.000000, 0.000000], [0.721916, -0.002161, 0.577466, 0.060657, 0.140286, 0.349295, 0.000000, 0.000000, 0.000000, 0.000000], [-0.183718, -0.039476, -0.205103, 0.018071, 0.891380, 0.357403, 0.000000, 0.000000, 0.000000, 0.000000], [-0.093043, -0.523416, -0.233710, 0.115201, -0.382818, 0.709181, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[47.798360, 49.066123, 51.904361, 54.002125, 268.954520], [56.413661, 59.287620, 59.446338, 60.679674, 219.457042], [71.698075, 74.983646, 75.546431, 79.738862, 330.799929], [112.150915, 117.401606, 117.993111, 124.634128, 625.748878], [28.645228, 29.911096, 30.257697, 31.897696, 166.308136], [15.983366, 15.985017, 18.226947, 18.576590, 107.704670]]
### 6
mean: [-6.456461, -8.010428, 8.819929, -5.112904, -1.578118, -2.467437]
std: [6.541143, 7.951655, 9.608699, 5.477067, 1.203028, 3.921886]
pca: [[-0.417935, -0.224362, -0.460925, 0.039032, -0.333044, 0.670894, 0.000000, 0.000000, 0.000000, 0.000000], [-0.508008, -0.340278, 0.503451, 0.547031, -0.177826, -0.204477, 0.000000, 0.000000, 0.000000, 0.000000], [0.613938, -0.319811, -0.294289, 0.657836, 0.005264, 0.037658, 0.000000, 0.000000, 0.000000, 0.000000], [-0.349775, -0.366827, -0.459492, -0.043634, 0.647903, -0.332085, 0.000000, 0.000000, 0.000000, 0.000000], [-0.076799, 0.099724, -0.444755, -0.037857, -0.624877, -0.628049, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249194, 0.766215, -0.196314, 0.512979, 0.217216, 0.044115, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[102.786520, 107.265038, 109.047735, 114.062854, 581.081560], [125.271648, 130.670584, 132.698482, 138.673489, 720.938522], [151.352646, 156.359446, 156.900789, 166.846704, 793.793571], [86.596542, 90.027355, 92.282904, 95.660597, 460.161341], [19.099553, 19.310441, 19.498852, 20.827521, 142.030656], [59.986075, 63.157665, 63.182888, 67.163078, 222.069304]]
### 8
mean: [-8.263572]
std: [9.723897]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[154.593653, 156.121488, 157.817273, 168.019996, 743.721469]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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],
[
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[
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]
],
"network.0.bias": [
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0.008737,
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"network.2.bias": [
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"network.4.weight": [
[
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}
## Activation Signature
### 0
mean: [2.224679, -4.053293, -0.202214, -2.820752, 1.420548, 2.186120]
std: [2.885627, 2.453884, 2.406301, 1.791371, 2.606000, 3.354712]
pca: [[0.465983, -0.294049, 0.573547, 0.061699, 0.600411, -0.056020, 0.000000, 0.000000, 0.000000, 0.000000], [-0.350417, 0.529984, 0.216022, 0.496650, 0.227352, -0.501307, 0.000000, 0.000000, 0.000000, 0.000000], [-0.367432, -0.275271, -0.558691, 0.027537, 0.687189, 0.064004, 0.000000, 0.000000, 0.000000, 0.000000], [-0.103784, 0.610068, 0.185782, -0.289157, 0.291597, 0.643343, 0.000000, 0.000000, 0.000000, 0.000000], [0.419896, 0.365472, -0.327078, -0.543405, 0.174039, -0.507502, 0.000000, 0.000000, 0.000000, 0.000000], [0.581359, 0.226107, -0.413215, 0.608171, 0.016456, 0.264590, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.522636, 43.654867, 48.757217, 51.527887, 200.221153], [38.850093, 40.149136, 48.833258, 51.351691, 364.796325], [36.009517, 36.523196, 38.115606, 39.760008, 49.464834], [28.122200, 30.019831, 31.306034, 33.010818, 253.867674], [37.939846, 39.165195, 43.835605, 53.810475, 127.849347], [51.118783, 52.801135, 60.236777, 61.108294, 196.750776]]
### 2
mean: [-2.192222, -1.783625, 5.927651, -0.333357, -0.651814, -1.172459]
std: [1.896643, 1.074425, 6.345076, 1.924413, 0.136914, 0.751186]
pca: [[-0.268118, -0.116693, 0.555898, -0.410367, -0.653620, 0.099253, 0.000000, 0.000000, 0.000000, 0.000000], [-0.133075, -0.474058, 0.522558, 0.678179, 0.156464, -0.009248, 0.000000, 0.000000, 0.000000, 0.000000], [0.914159, 0.124978, 0.377427, -0.008711, -0.063907, 0.045642, 0.000000, 0.000000, 0.000000, 0.000000], [-0.254303, 0.848188, 0.340252, 0.259277, 0.102240, 0.149859, 0.000000, 0.000000, 0.000000, 0.000000], [0.005965, -0.142609, -0.057121, -0.081096, 0.172573, 0.969539, 0.000000, 0.000000, 0.000000, 0.000000], [-0.100061, -0.079194, 0.395505, -0.545706, 0.709916, -0.159738, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.148023, 31.054496, 31.196512, 33.444677, 197.299969], [17.541485, 19.031647, 20.216143, 20.384577, 160.526268], [99.834581, 104.191334, 105.408838, 111.179339, 533.488558], [28.781388, 30.002164, 30.982895, 32.207805, 34.854205], [2.103956, 2.114500, 2.475577, 2.574243, 58.663284], [11.018156, 11.297780, 13.285025, 14.101406, 105.521297]]
### 4
mean: [-2.988383, -2.438412, 3.675555, 6.952765, -1.847868, -1.196719]
std: [2.972834, 3.666089, 4.569300, 7.157035, 1.821520, 0.974541]
pca: [[-0.297967, -0.555727, 0.468729, 0.520123, 0.134290, -0.306781, 0.000000, 0.000000, 0.000000, 0.000000], [-0.367728, 0.643681, 0.234611, 0.505978, -0.142006, 0.345296, 0.000000, 0.000000, 0.000000, 0.000000], [0.460891, 0.036275, -0.543228, 0.675412, 0.031815, -0.184321, 0.000000, 0.000000, 0.000000, 0.000000], [0.721916, -0.002161, 0.577466, 0.060657, 0.140286, 0.349295, 0.000000, 0.000000, 0.000000, 0.000000], [-0.183718, -0.039476, -0.205103, 0.018071, 0.891380, 0.357403, 0.000000, 0.000000, 0.000000, 0.000000], [-0.093043, -0.523416, -0.233710, 0.115201, -0.382818, 0.709181, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[47.798360, 49.066123, 51.904361, 54.002125, 268.954520], [56.413661, 59.287620, 59.446338, 60.679674, 219.457042], [71.698075, 74.983646, 75.546431, 79.738862, 330.799929], [112.150915, 117.401606, 117.993111, 124.634128, 625.748878], [28.645228, 29.911096, 30.257697, 31.897696, 166.308136], [15.983366, 15.985017, 18.226947, 18.576590, 107.704670]]
### 6
mean: [-6.456461, -8.010428, 8.819929, -5.112904, -1.578118, -2.467437]
std: [6.541143, 7.951655, 9.608699, 5.477067, 1.203028, 3.921886]
pca: [[-0.417935, -0.224362, -0.460925, 0.039032, -0.333044, 0.670894, 0.000000, 0.000000, 0.000000, 0.000000], [-0.508008, -0.340278, 0.503451, 0.547031, -0.177826, -0.204477, 0.000000, 0.000000, 0.000000, 0.000000], [0.613938, -0.319811, -0.294289, 0.657836, 0.005264, 0.037658, 0.000000, 0.000000, 0.000000, 0.000000], [-0.349775, -0.366827, -0.459492, -0.043634, 0.647903, -0.332085, 0.000000, 0.000000, 0.000000, 0.000000], [-0.076799, 0.099724, -0.444755, -0.037857, -0.624877, -0.628049, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249194, 0.766215, -0.196314, 0.512979, 0.217216, 0.044115, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[102.786520, 107.265038, 109.047735, 114.062854, 581.081560], [125.271648, 130.670584, 132.698482, 138.673489, 720.938522], [151.352646, 156.359446, 156.900789, 166.846704, 793.793571], [86.596542, 90.027355, 92.282904, 95.660597, 460.161341], [19.099553, 19.310441, 19.498852, 20.827521, 142.030656], [59.986075, 63.157665, 63.182888, 67.163078, 222.069304]]
### 8
mean: [-8.263572]
std: [9.723897]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[154.593653, 156.121488, 157.817273, 168.019996, 743.721469]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
mountain_pattern
|
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19.49885235017652, 20.82752083800989, 142.03065598011017]}, "5": {"mean": -2.4674367904663086, "std": 3.921886444091797, "pca": [-0.24919448792934418, 0.7662152647972107, -0.19631437957286835, 0.5129793882369995, 0.21721646189689636, 0.04411492124199867, 0.0, 0.0, 0.0, 0.0], "fourier": [59.98607546784529, 63.15766488972205, 63.18288838762954, 67.1630780890144, 222.0693037211895]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -8.263571739196777, "std": 9.723896980285645, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [154.5936529828943, 156.12148797384503, 157.8172733025917, 168.0199959604482, 743.7214685678482]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.733397, 1.129313, -0.363366, -0.179701, 0.463459], [-0.835642, -0.166882, -0.27923, -0.318251, -0.39204], [-0.75857, -0.74397, 0.563297, 0.600071, 0.016048], [-0.351877, 0.110931, -0.073946, -0.637507, -0.42376], [0.928226, 0.330567, 0.312093, -0.340868, -0.632964], [1.3915, 0.467207, 0.036171, 0.110093, -0.83225]], "network.0.bias": [-0.173063, -0.960019, -0.385814, -0.5408, 0.522756, 0.317915], "network.2.weight": [[-0.471662, -0.089791, 0.035602, -0.421594, 0.017133, -0.247438], [-0.433228, -0.073574, -0.366912, 0.107507, -0.153305, 0.084631], [0.786041, 0.293047, -0.32971, 0.061524, 0.720981, 0.971269], [-0.258537, -0.380396, 0.74557, 0.201642, -0.322876, -0.024208], [0.008737, -0.042938, -0.106458, -0.316188, 0.037756, -0.039873], [-0.232907, -0.223628, 0.002471, 0.184141, 0.151795, -0.14586]], "network.2.bias": [-0.498626, -0.372733, 0.606049, 0.302796, -0.551894, -0.519085], "network.4.weight": [[-0.260616, -0.180297, -0.489241, -0.36744, 0.115308, -0.246311], [0.08591, -0.016473, -0.539415, 0.548446, 0.048893, -0.189787], [0.268002, -0.213954, 0.71689, -0.05209, -0.268419, -0.149401], [-0.003435, 0.07502, 1.120045, -0.12602, 0.244001, 0.664258], [-0.010127, -0.183853, -0.286973, 0.001911, -0.429922, 0.081043], [0.066455, 0.113044, -0.16971, -0.378396, -0.115511, -0.061644]], "network.4.bias": [0.123123, 0.443936, -0.544253, 0.385541, -0.147775, 0.026888], "network.6.weight": [[0.084665, -0.049691, -0.535157, -0.575369, -0.487489, 0.167636], [-0.377694, -0.264356, -0.194098, -0.99348, -0.08722, -0.045222], [0.519444, -0.664491, 0.533476, 0.989364, 0.030314, 0.001699], [0.095851, -0.265036, -0.441502, -0.490483, -0.530055, -0.205011], [-0.117904, 0.202421, -0.238543, -0.012112, 0.260995, -0.063666], [0.159667, 1.116304, -0.438138, -0.242371, -0.408253, -0.050918]], "network.6.bias": [-0.463661, -0.334339, 0.086404, -0.01763, -0.647421, 0.635279], "network.8.weight": [[0.011924, 0.221056, -0.999233, -0.0471, 0.011668, 0.727299]], "network.8.bias": [0.415543]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7026205360889435, "train_acc": 0.495, "val_loss": 0.7293450832366943, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6667003333568573, "train_acc": 0.585, "val_loss": 0.7121708393096924, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6261484622955322, "train_acc": 0.585, "val_loss": 0.6464816331863403, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6084302365779877, "train_acc": 0.505, "val_loss": 0.5539364814758301, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.511859804391861, "train_acc": 0.86, "val_loss": 0.5159810781478882, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4320825934410095, "train_acc": 0.85, "val_loss": 0.36241576075553894, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.35094866156578064, "train_acc": 0.88, "val_loss": 0.3478096127510071, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.2631455808877945, "train_acc": 0.88, "val_loss": 0.4167231321334839, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.32027263939380646, "train_acc": 0.885, "val_loss": 0.32400402426719666, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.24590744823217392, "train_acc": 0.91, "val_loss": 0.370810866355896, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.29555799067020416, "train_acc": 0.865, "val_loss": 0.29532313346862793, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.23643282055854797, "train_acc": 0.935, "val_loss": 0.34845951199531555, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.2691341042518616, "train_acc": 0.905, "val_loss": 0.2872551679611206, "val_acc": 0.9}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.7293450832366943, "final_val_loss": 0.6464816331863403, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5539364814758301, "final_val_loss": 0.2872551679611206, "initial_val_acc": 0.86, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 8}, "improvement": 0.42000000000000004, "first_improvement_epoch": 2}}
|
153
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.66, "improved_accuracy": 0.82, "improvement": 0.15999999999999992, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5490, "learning_rate": 0.05689363298929925, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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],
[
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[
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],
"network.0.bias": [
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"network.2.weight": [
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[
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[
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"network.4.weight": [
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"network.6.weight": [
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[
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [-1.462906, 1.470742, -3.028828, -0.902483, -2.074673, 0.491532, -1.929424, -1.804555]
std: [1.741184, 1.992776, 2.404130, 2.823559, 1.858812, 2.137232, 1.662329, 2.051325]
pca: [[0.257823, -0.028325, 0.369449, -0.630320, -0.341614, -0.054329, 0.384877, -0.362144, 0.000000, 0.000000], [-0.406998, 0.274931, 0.152750, 0.081513, 0.320447, 0.575095, 0.529296, -0.123340, 0.000000, 0.000000], [0.387477, 0.455454, 0.180210, 0.646451, -0.214414, -0.197625, 0.192751, -0.264324, 0.000000, 0.000000], [0.475649, 0.528070, -0.414316, -0.357127, 0.437175, 0.035345, -0.024931, 0.052054, 0.000000, 0.000000], [0.354367, -0.289560, 0.238266, 0.104011, 0.266001, 0.479291, -0.452445, -0.466698, 0.000000, 0.000000], [-0.382824, 0.294560, 0.412733, -0.132819, 0.398615, -0.497638, -0.310733, -0.274953, 0.000000, 0.000000], [0.079323, 0.366971, 0.516564, -0.104475, -0.236706, 0.309948, -0.323290, 0.569800, 0.000000, 0.000000], [0.336269, -0.363367, 0.376941, 0.106022, 0.507778, -0.229298, 0.357999, 0.403713, 0.000000, 0.000000]]
fourier: [[24.542390, 26.541513, 28.925171, 34.018044, 131.661536], [31.561081, 33.607705, 35.208333, 36.118831, 132.366784], [37.929556, 38.798480, 39.372809, 46.048538, 272.594545], [44.889591, 47.636380, 57.615641, 59.554767, 81.223431], [29.227734, 29.330995, 34.925561, 38.373864, 186.720624], [33.619804, 33.989326, 34.372103, 34.724138, 44.237910], [26.899245, 28.318726, 31.274859, 35.900931, 173.648174], [32.419990, 32.646549, 39.942009, 42.881133, 162.409922]]
### 2
mean: [0.758118, 0.016777, 0.888122, 0.912319, 0.720060, -0.213031, -1.260001, 1.226889]
std: [1.587374, 0.699599, 1.063944, 0.833170, 0.743890, 0.696756, 1.419004, 1.663812]
pca: [[0.501701, 0.179922, -0.184286, -0.281487, -0.058157, 0.363533, 0.615331, -0.297585, 0.000000, 0.000000], [-0.208273, 0.202203, 0.734376, 0.032073, -0.425940, 0.175184, 0.320538, 0.246050, 0.000000, 0.000000], [0.332985, -0.132936, 0.475465, -0.409995, 0.595811, -0.282288, 0.042947, 0.201901, 0.000000, 0.000000], [0.251593, 0.303131, 0.124275, 0.380941, 0.361413, 0.638096, -0.345472, 0.164667, 0.000000, 0.000000], [0.227407, 0.179233, 0.044366, 0.722805, 0.144977, -0.479193, 0.369045, -0.070053, 0.000000, 0.000000], [-0.215326, -0.164747, -0.372245, 0.040744, 0.193534, 0.140384, 0.424535, 0.740860, 0.000000, 0.000000], [-0.400375, 0.809191, -0.130639, -0.254797, 0.266635, -0.168348, 0.036276, -0.046591, 0.000000, 0.000000], [0.521882, 0.321131, -0.166187, -0.132271, -0.447230, -0.269493, -0.282289, 0.476520, 0.000000, 0.000000]]
fourier: [[24.322276, 25.398817, 29.678354, 30.694150, 68.230645], [11.611330, 12.180281, 12.362331, 12.985098, 14.292053], [15.416680, 16.730264, 21.900337, 22.844352, 79.931018], [12.093926, 13.735471, 14.179839, 14.476567, 82.108676], [11.072950, 11.482036, 11.992085, 12.814362, 64.805420], [10.790870, 11.658208, 12.339757, 13.356141, 19.172781], [23.652967, 24.300220, 26.754128, 35.885003, 113.400119], [25.762935, 26.499960, 29.542094, 31.622787, 110.420063]]
### 4
mean: [1.288970, -1.318940, -1.858541, -0.121751, 1.020034, 0.922558, 1.871393, 1.012730]
std: [1.891800, 1.442845, 1.730501, 0.324516, 1.162128, 0.566867, 2.159314, 0.969518]
pca: [[0.473838, 0.306020, -0.146225, -0.198169, 0.683945, -0.155297, -0.326677, 0.150202, 0.000000, 0.000000], [-0.359292, 0.485145, -0.069149, 0.415127, -0.049268, 0.152269, -0.170993, 0.635279, 0.000000, 0.000000], [-0.432291, 0.449833, -0.189284, -0.302794, 0.116288, -0.481153, 0.460233, -0.162532, 0.000000, 0.000000], [-0.067758, 0.432628, 0.679991, 0.217470, 0.092453, 0.064638, -0.195298, -0.497689, 0.000000, 0.000000], [0.291006, -0.072398, -0.133764, 0.735346, -0.017813, -0.563706, 0.152596, -0.100399, 0.000000, 0.000000], [0.136838, 0.365001, -0.616120, 0.038503, -0.358219, 0.236919, -0.278059, -0.452984, 0.000000, 0.000000], [0.540882, 0.345742, 0.272272, -0.260070, -0.550736, -0.150094, 0.194620, 0.287100, 0.000000, 0.000000], [0.242812, 0.153182, -0.063181, 0.198920, 0.275269, 0.566205, 0.689643, -0.045256, 0.000000, 0.000000]]
fourier: [[29.222771, 29.829567, 34.729667, 35.495663, 116.007332], [22.762888, 24.280846, 27.270029, 28.724698, 118.704638], [26.623136, 28.939193, 33.922849, 33.987327, 167.268681], [5.217088, 5.389240, 6.140647, 6.830819, 10.957610], [16.746707, 18.978546, 22.239492, 23.325150, 91.803076], [8.532263, 9.504986, 9.653649, 9.685536, 83.030263], [33.165955, 33.934273, 39.823568, 39.845641, 168.425396], [15.071872, 15.241332, 18.198031, 18.368449, 91.145698]]
### 6
mean: [0.468887, -1.565886, 1.986167, -1.567278, 1.178862, 1.025473, -1.527961, 0.583057]
std: [1.112086, 2.064772, 2.514819, 2.172883, 1.597102, 1.496993, 2.609523, 1.052032]
pca: [[-0.205374, 0.493937, 0.448649, 0.166984, 0.620729, 0.071576, -0.272103, -0.142164, 0.000000, 0.000000], [0.381605, 0.705722, -0.355636, -0.184481, -0.256824, -0.126299, -0.174795, -0.288724, 0.000000, 0.000000], [-0.465078, 0.126443, -0.054753, 0.219572, -0.290225, -0.588586, -0.385448, 0.370501, 0.000000, 0.000000], [0.401793, -0.000060, -0.437379, 0.615565, 0.392392, -0.075174, 0.059113, 0.324383, 0.000000, 0.000000], [-0.295310, 0.263824, -0.159440, -0.241375, 0.259191, -0.354982, 0.748621, 0.076677, 0.000000, 0.000000], [-0.276799, 0.129249, 0.023394, 0.658957, -0.370114, 0.181325, 0.322418, -0.445072, 0.000000, 0.000000], [0.482529, 0.155725, 0.667626, 0.123300, -0.267839, -0.227661, 0.272472, 0.290138, 0.000000, 0.000000], [-0.194434, 0.362541, -0.079034, -0.057108, -0.186100, 0.645074, 0.068659, 0.604801, 0.000000, 0.000000]]
fourier: [[17.309114, 18.294953, 20.233929, 21.718215, 42.199836], [31.940083, 32.393713, 37.294640, 38.236760, 140.929741], [38.600402, 40.295648, 46.229002, 47.040057, 178.754976], [33.002965, 34.714684, 39.899088, 40.944071, 141.054996], [24.497453, 25.648223, 29.514583, 29.878606, 106.097607], [23.054603, 24.122359, 27.516303, 28.128755, 92.292575], [39.958864, 41.605848, 47.849632, 47.882576, 137.516455], [15.965183, 17.218496, 19.476833, 19.943952, 52.475128]]
### 8
mean: [-1.126506]
std: [1.733627]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.290687, 27.567670, 32.096357, 32.206886, 101.385515]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.282843,
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0.029415,
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],
[
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0.077284,
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],
[
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0.041042
],
[
-1.113297,
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0.04072
],
[
-0.51679,
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0.006031,
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],
[
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0.301687,
0.256898,
0.001971,
-0.948545
],
[
0.033882,
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-0.302729,
-0.147558,
-0.721308
],
[
-0.51715,
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0.151995,
-0.67739,
0.342189
]
],
"network.0.bias": [
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0.246284,
-0.024058,
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-0.084698,
0.087421,
0.191067
],
"network.2.weight": [
[
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-0.253978,
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],
[
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-0.584492,
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-0.486328,
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],
[
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0.114017,
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-0.788214,
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],
[
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0.0708,
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0.001181,
0.021514,
-0.534037,
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],
[
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0.39975,
0.382159,
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-0.289351
],
[
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0.166884,
0.323596,
-0.194846,
0.772099,
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],
[
0.371542,
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0.00643,
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[
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0.150292,
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0.066421,
0.556813,
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-0.664581
]
],
"network.2.bias": [
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0.160165
],
"network.4.weight": [
[
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[
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[
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[
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],
[
0.335624,
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0.192313,
0.310615,
0.403587,
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0.025498,
0.607584
],
[
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0.129455,
0.144364,
-0.004184,
-0.375303,
-0.084486,
0.248466
]
],
"network.4.bias": [
-0.145455,
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-0.706632,
-0.014046,
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0.090351,
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],
"network.6.weight": [
[
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],
[
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],
[
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],
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[
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[
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]
],
"network.6.bias": [
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],
"network.8.weight": [
[
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0.290521,
-0.133671,
-0.206143,
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-0.191533
]
],
"network.8.bias": [
0.052832
]
}
## Activation Signature
### 0
mean: [-1.462906, 1.470742, -3.028828, -0.902483, -2.074673, 0.491532, -1.929424, -1.804555]
std: [1.741184, 1.992776, 2.404130, 2.823559, 1.858812, 2.137232, 1.662329, 2.051325]
pca: [[0.257823, -0.028325, 0.369449, -0.630320, -0.341614, -0.054329, 0.384877, -0.362144, 0.000000, 0.000000], [-0.406998, 0.274931, 0.152750, 0.081513, 0.320447, 0.575095, 0.529296, -0.123340, 0.000000, 0.000000], [0.387477, 0.455454, 0.180210, 0.646451, -0.214414, -0.197625, 0.192751, -0.264324, 0.000000, 0.000000], [0.475649, 0.528070, -0.414316, -0.357127, 0.437175, 0.035345, -0.024931, 0.052054, 0.000000, 0.000000], [0.354367, -0.289560, 0.238266, 0.104011, 0.266001, 0.479291, -0.452445, -0.466698, 0.000000, 0.000000], [-0.382824, 0.294560, 0.412733, -0.132819, 0.398615, -0.497638, -0.310733, -0.274953, 0.000000, 0.000000], [0.079323, 0.366971, 0.516564, -0.104475, -0.236706, 0.309948, -0.323290, 0.569800, 0.000000, 0.000000], [0.336269, -0.363367, 0.376941, 0.106022, 0.507778, -0.229298, 0.357999, 0.403713, 0.000000, 0.000000]]
fourier: [[24.542390, 26.541513, 28.925171, 34.018044, 131.661536], [31.561081, 33.607705, 35.208333, 36.118831, 132.366784], [37.929556, 38.798480, 39.372809, 46.048538, 272.594545], [44.889591, 47.636380, 57.615641, 59.554767, 81.223431], [29.227734, 29.330995, 34.925561, 38.373864, 186.720624], [33.619804, 33.989326, 34.372103, 34.724138, 44.237910], [26.899245, 28.318726, 31.274859, 35.900931, 173.648174], [32.419990, 32.646549, 39.942009, 42.881133, 162.409922]]
### 2
mean: [0.758118, 0.016777, 0.888122, 0.912319, 0.720060, -0.213031, -1.260001, 1.226889]
std: [1.587374, 0.699599, 1.063944, 0.833170, 0.743890, 0.696756, 1.419004, 1.663812]
pca: [[0.501701, 0.179922, -0.184286, -0.281487, -0.058157, 0.363533, 0.615331, -0.297585, 0.000000, 0.000000], [-0.208273, 0.202203, 0.734376, 0.032073, -0.425940, 0.175184, 0.320538, 0.246050, 0.000000, 0.000000], [0.332985, -0.132936, 0.475465, -0.409995, 0.595811, -0.282288, 0.042947, 0.201901, 0.000000, 0.000000], [0.251593, 0.303131, 0.124275, 0.380941, 0.361413, 0.638096, -0.345472, 0.164667, 0.000000, 0.000000], [0.227407, 0.179233, 0.044366, 0.722805, 0.144977, -0.479193, 0.369045, -0.070053, 0.000000, 0.000000], [-0.215326, -0.164747, -0.372245, 0.040744, 0.193534, 0.140384, 0.424535, 0.740860, 0.000000, 0.000000], [-0.400375, 0.809191, -0.130639, -0.254797, 0.266635, -0.168348, 0.036276, -0.046591, 0.000000, 0.000000], [0.521882, 0.321131, -0.166187, -0.132271, -0.447230, -0.269493, -0.282289, 0.476520, 0.000000, 0.000000]]
fourier: [[24.322276, 25.398817, 29.678354, 30.694150, 68.230645], [11.611330, 12.180281, 12.362331, 12.985098, 14.292053], [15.416680, 16.730264, 21.900337, 22.844352, 79.931018], [12.093926, 13.735471, 14.179839, 14.476567, 82.108676], [11.072950, 11.482036, 11.992085, 12.814362, 64.805420], [10.790870, 11.658208, 12.339757, 13.356141, 19.172781], [23.652967, 24.300220, 26.754128, 35.885003, 113.400119], [25.762935, 26.499960, 29.542094, 31.622787, 110.420063]]
### 4
mean: [1.288970, -1.318940, -1.858541, -0.121751, 1.020034, 0.922558, 1.871393, 1.012730]
std: [1.891800, 1.442845, 1.730501, 0.324516, 1.162128, 0.566867, 2.159314, 0.969518]
pca: [[0.473838, 0.306020, -0.146225, -0.198169, 0.683945, -0.155297, -0.326677, 0.150202, 0.000000, 0.000000], [-0.359292, 0.485145, -0.069149, 0.415127, -0.049268, 0.152269, -0.170993, 0.635279, 0.000000, 0.000000], [-0.432291, 0.449833, -0.189284, -0.302794, 0.116288, -0.481153, 0.460233, -0.162532, 0.000000, 0.000000], [-0.067758, 0.432628, 0.679991, 0.217470, 0.092453, 0.064638, -0.195298, -0.497689, 0.000000, 0.000000], [0.291006, -0.072398, -0.133764, 0.735346, -0.017813, -0.563706, 0.152596, -0.100399, 0.000000, 0.000000], [0.136838, 0.365001, -0.616120, 0.038503, -0.358219, 0.236919, -0.278059, -0.452984, 0.000000, 0.000000], [0.540882, 0.345742, 0.272272, -0.260070, -0.550736, -0.150094, 0.194620, 0.287100, 0.000000, 0.000000], [0.242812, 0.153182, -0.063181, 0.198920, 0.275269, 0.566205, 0.689643, -0.045256, 0.000000, 0.000000]]
fourier: [[29.222771, 29.829567, 34.729667, 35.495663, 116.007332], [22.762888, 24.280846, 27.270029, 28.724698, 118.704638], [26.623136, 28.939193, 33.922849, 33.987327, 167.268681], [5.217088, 5.389240, 6.140647, 6.830819, 10.957610], [16.746707, 18.978546, 22.239492, 23.325150, 91.803076], [8.532263, 9.504986, 9.653649, 9.685536, 83.030263], [33.165955, 33.934273, 39.823568, 39.845641, 168.425396], [15.071872, 15.241332, 18.198031, 18.368449, 91.145698]]
### 6
mean: [0.468887, -1.565886, 1.986167, -1.567278, 1.178862, 1.025473, -1.527961, 0.583057]
std: [1.112086, 2.064772, 2.514819, 2.172883, 1.597102, 1.496993, 2.609523, 1.052032]
pca: [[-0.205374, 0.493937, 0.448649, 0.166984, 0.620729, 0.071576, -0.272103, -0.142164, 0.000000, 0.000000], [0.381605, 0.705722, -0.355636, -0.184481, -0.256824, -0.126299, -0.174795, -0.288724, 0.000000, 0.000000], [-0.465078, 0.126443, -0.054753, 0.219572, -0.290225, -0.588586, -0.385448, 0.370501, 0.000000, 0.000000], [0.401793, -0.000060, -0.437379, 0.615565, 0.392392, -0.075174, 0.059113, 0.324383, 0.000000, 0.000000], [-0.295310, 0.263824, -0.159440, -0.241375, 0.259191, -0.354982, 0.748621, 0.076677, 0.000000, 0.000000], [-0.276799, 0.129249, 0.023394, 0.658957, -0.370114, 0.181325, 0.322418, -0.445072, 0.000000, 0.000000], [0.482529, 0.155725, 0.667626, 0.123300, -0.267839, -0.227661, 0.272472, 0.290138, 0.000000, 0.000000], [-0.194434, 0.362541, -0.079034, -0.057108, -0.186100, 0.645074, 0.068659, 0.604801, 0.000000, 0.000000]]
fourier: [[17.309114, 18.294953, 20.233929, 21.718215, 42.199836], [31.940083, 32.393713, 37.294640, 38.236760, 140.929741], [38.600402, 40.295648, 46.229002, 47.040057, 178.754976], [33.002965, 34.714684, 39.899088, 40.944071, 141.054996], [24.497453, 25.648223, 29.514583, 29.878606, 106.097607], [23.054603, 24.122359, 27.516303, 28.128755, 92.292575], [39.958864, 41.605848, 47.849632, 47.882576, 137.516455], [15.965183, 17.218496, 19.476833, 19.943952, 52.475128]]
### 8
mean: [-1.126506]
std: [1.733627]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.290687, 27.567670, 32.096357, 32.206886, 101.385515]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
starts_with
|
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"layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "6": {"neuron_profiles": {"0": {"mean": 0.468887060880661, "std": 1.1120861768722534, "pca": [-0.20537428557872772, 0.4939373731613159, 0.4486486613750458, 0.16698363423347473, 0.6207287907600403, 0.07157602906227112, -0.27210304141044617, -0.14216414093971252, 0.0, 0.0], "fourier": [17.309113731894666, 18.294952987372415, 20.23392879076471, 21.718214520430493, 42.19983613491058]}, "1": {"mean": -1.56588613986969, "std": 2.064772129058838, "pca": [0.38160473108291626, 0.7057217359542847, -0.35563552379608154, -0.18448087573051453, -0.2568243443965912, -0.12629900872707367, -0.17479495704174042, -0.2887236475944519, 0.0, 0.0], "fourier": [31.940082657209018, 32.393712516198, 37.29463956220347, 38.23675986716488, 140.9297409951687]}, "2": {"mean": 1.9861665964126587, "std": 2.5148186683654785, "pca": [-0.4650779068470001, 0.12644349038600922, -0.054753128439188004, 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19.94395203853856, 52.475127913057804]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -1.126505732536316, "std": 1.7336268424987793, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [26.29068720309589, 27.56767030436341, 32.09635650285359, 32.206886129011444, 101.3855154030025]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.282843, -0.7513, 0.120288, 0.029415, -0.34894], [0.551999, 0.492375, 0.131251, 0.077284, -0.648316], [-0.441592, 0.32842, -1.035029, -0.439389, 0.041042], [-1.113297, 0.24419, -0.561919, 0.348181, 0.04072], [-0.51679, -0.334783, 0.006031, -0.522845, 0.397582], [0.526744, 0.301687, 0.256898, 0.001971, -0.948545], [0.033882, -0.121061, -0.302729, -0.147558, -0.721308], [-0.51715, -0.350652, 0.151995, -0.67739, 0.342189]], "network.0.bias": [0.374126, 0.246284, -0.024058, 0.414898, -0.203245, -0.084698, 0.087421, 0.191067], "network.2.weight": [[0.613863, 0.440154, -0.253978, -0.231766, 0.237029, 0.543551, -0.54705, -0.562439], [0.103815, -0.220266, -0.32114, -0.137094, -0.584492, -0.238145, -0.486328, -0.351791], [0.772684, 0.301647, 0.114017, 0.107196, -0.063403, 0.363796, -0.788214, -0.59806], [0.336627, 0.385366, 0.0708, -0.340144, 0.001181, 0.021514, -0.534037, -0.553087], [-0.090154, 0.39975, 0.382159, -0.239596, -0.077257, -0.037257, -1.037833, -0.289351], [-0.374653, -0.197534, -0.110263, 0.166884, 0.323596, -0.194846, 0.772099, 0.53793], [0.371542, -0.39798, -0.056848, -0.693254, 0.00643, -0.501161, -0.387576, -0.040312], [0.501165, 0.446002, 0.150292, -0.367782, 0.066421, 0.556813, -0.968249, -0.664581]], "network.2.bias": [-0.347029, 0.642344, -0.017463, 0.464534, 0.217082, 0.221361, 0.195149, 0.160165], "network.4.weight": [[0.317554, 0.195846, 0.238289, 0.499677, 0.139656, -0.655569, 0.27037, 0.384691], [-0.307516, 0.845962, -0.312661, -0.188076, 0.003301, -0.07685, -0.201516, -0.230382], [-0.240919, 0.475815, -0.534177, -0.130521, 0.199405, -0.075554, -0.163559, -0.486785], [0.065003, 0.590823, -0.329195, 0.195943, -0.400001, -0.16259, 0.368282, 0.109195], [0.531991, 0.101304, 0.356891, 0.079716, -0.010847, -0.362746, -0.122938, -0.037479], [-0.21145, 0.697561, 0.245084, 0.031791, 0.590858, -0.139038, -0.524865, 0.162719], [0.335624, 0.515919, 0.192313, 0.310615, 0.403587, -0.26353, 0.025498, 0.607584], [0.21279, 0.225649, 0.129455, 0.144364, -0.004184, -0.375303, -0.084486, 0.248466]], "network.4.bias": [-0.145455, -0.498983, -0.706632, -0.014046, 0.238865, 0.16678, 0.090351, 0.27709], "network.6.weight": [[0.296896, 0.324985, 0.413981, 0.215674, 0.447488, 0.083889, -0.040682, 0.057754], [0.066935, -0.17326, 0.100226, -0.371961, -0.096875, -0.561942, -0.55012, -0.577184], [0.404819, -0.162351, 0.299203, 0.258007, 0.286246, 0.26482, 0.47211, 0.254433], [-0.176187, -0.310729, -0.177156, 0.043624, -0.437053, -0.577478, -0.262441, -0.399885], [0.478695, 0.420058, -0.115615, -0.219846, 0.076365, 0.219091, 0.052508, 0.354443], [-0.033019, -0.027396, 0.422988, 0.273352, 0.14602, -0.060565, 0.522093, 0.277861], [-0.607309, -0.128299, -0.23694, 0.039332, 0.053453, -0.474262, -0.560545, -0.027753], [-0.027222, 0.498468, 0.16204, -0.215927, 0.213077, -0.014456, 0.442216, -0.154772]], "network.6.bias": [-0.315114, 0.394155, -0.083798, 0.328686, -0.090276, -0.173693, 0.592719, -0.176526], "network.8.weight": [[-0.071807, 0.292656, -0.357507, 0.290521, -0.133671, -0.206143, 0.455785, -0.191533]], "network.8.bias": [0.052832]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6660327315330505, "train_acc": 0.555, "val_loss": 0.6894424557685852, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6320012509822845, "train_acc": 0.63, "val_loss": 0.6019130945205688, "val_acc": 0.66}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6159824132919312, "train_acc": 0.67, "val_loss": 0.5459709167480469, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5914619266986847, "train_acc": 0.695, "val_loss": 0.5429576635360718, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5490310490131378, "train_acc": 0.705, "val_loss": 0.4976694583892822, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5556251704692841, "train_acc": 0.715, "val_loss": 0.493036150932312, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.5376884192228317, "train_acc": 0.73, "val_loss": 0.48874008655548096, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.5047491192817688, "train_acc": 0.745, "val_loss": 0.4762499928474426, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.5032604932785034, "train_acc": 0.75, "val_loss": 0.4614119231700897, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.48593467473983765, "train_acc": 0.78, "val_loss": 0.4803021252155304, "val_acc": 0.76}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.4938351511955261, "train_acc": 0.77, "val_loss": 0.4907773733139038, "val_acc": 0.78}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.45592403411865234, "train_acc": 0.78, "val_loss": 0.45486563444137573, "val_acc": 0.78}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6894424557685852, "final_val_loss": 0.6019130945205688, "initial_val_acc": 0.52, "final_val_acc": 0.66, "best_val_acc": 0.66}, "improved_stage": {"initial_val_loss": 0.5459709167480469, "final_val_loss": 0.45486563444137573, "initial_val_acc": 0.76, "final_val_acc": 0.78, "best_val_acc": 0.82, "best_epoch": 7}, "improvement": 0.15999999999999992, "first_improvement_epoch": 1}}
|
154
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.7, "improved_accuracy": 0.88, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9508, "learning_rate": 0.0914894802504597, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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"network.2.bias": [
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[
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[
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"network.10.weight": [
[
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"network.10.bias": [
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}
## Activation Signature
### 0
mean: [3.601002, -1.153354, -1.607289, -4.280062, 0.204572]
std: [3.501845, 1.242630, 3.483212, 2.708438, 2.879015]
pca: [[0.661124, -0.463971, -0.146656, 0.458313, 0.340715, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.066518, 0.281565, -0.086621, 0.770547, -0.561294, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.405720, 0.735050, -0.484922, -0.143678, 0.198240, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.164391, 0.401329, 0.819677, 0.193161, 0.320515, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.605687, 0.063941, -0.252921, 0.371822, 0.653325, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[53.827560, 54.543632, 57.689255, 61.215926, 324.090199], [19.353138, 20.183629, 22.030289, 26.935553, 103.801856], [49.161648, 49.394648, 68.639515, 69.765588, 144.656006], [37.209965, 41.313642, 41.502942, 49.644263, 385.205554], [39.240513, 42.448569, 44.044367, 45.230133, 58.477275]]
### 2
mean: [-2.080187, -2.773134, -0.592869, -1.355643, -2.752483]
std: [1.071276, 1.189323, 2.003770, 1.150110, 1.021504]
pca: [[-0.225758, 0.485739, -0.339345, 0.762793, -0.126816, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.094894, 0.608020, -0.319693, -0.573766, -0.435769, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.883392, -0.129358, -0.407088, 0.175854, 0.078988, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.391077, 0.314526, 0.776522, 0.207825, -0.319303, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.081889, 0.527928, 0.118040, -0.121750, 0.828148, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.495834, 15.569591, 16.493475, 21.843483, 187.216801], [17.473139, 17.847559, 18.495634, 21.055768, 249.582014], [30.228949, 31.890632, 31.979591, 42.200600, 53.358180], [18.788824, 19.187013, 19.800981, 20.580299, 122.007859], [15.737071, 16.416075, 16.501002, 16.975907, 247.723513]]
### 4
mean: [0.428097, -1.246938, 0.050668, 0.427581, 0.132838]
std: [0.590146, 0.307608, 0.420811, 0.762145, 0.449815]
pca: [[0.499942, 0.182685, -0.525031, -0.529870, -0.400330, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.253880, 0.649378, 0.540334, -0.452717, -0.130155, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.352618, 0.597827, -0.015374, 0.695105, -0.186699, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.645229, -0.357209, 0.655680, -0.047157, -0.154734, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.380714, 0.244827, -0.047219, -0.169973, 0.874069, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.725297, 9.186234, 9.334228, 11.228038, 38.528710], [4.741122, 4.847024, 4.921038, 4.980783, 112.224379], [5.865229, 6.128285, 6.361431, 6.435085, 8.374530], [11.356930, 11.783294, 11.916622, 14.074275, 38.482245], [6.534545, 6.946294, 7.032339, 8.680412, 11.955386]]
### 6
mean: [0.119811, 0.835510, 0.209125, 0.468118, 0.209023]
std: [0.822082, 0.898471, 1.544974, 0.847400, 1.462091]
pca: [[-0.316962, 0.692205, 0.378855, -0.413678, -0.325156, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.346454, 0.097853, 0.006105, 0.805172, -0.471227, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.595737, 0.148372, 0.705678, 0.320505, 0.149595, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.326750, 0.437266, -0.104514, 0.267680, 0.787056, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.563770, 0.545950, -0.589514, 0.078689, -0.174308, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.152800, 12.141210, 12.273192, 12.968068, 14.589943], [13.225090, 13.422328, 14.137657, 16.054578, 75.195889], [21.069194, 22.751118, 23.172016, 24.310667, 27.699783], [12.509669, 12.704796, 13.352262, 15.117823, 42.130589], [19.989120, 21.469089, 21.713986, 22.964682, 26.143174]]
### 8
mean: [1.321264, -0.710273, -0.091637, 0.956842, -2.593616]
std: [3.318621, 1.267415, 0.172689, 2.709065, 1.901371]
pca: [[0.688405, -0.187145, 0.523691, -0.454833, -0.099751, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.256549, 0.447327, 0.502936, -0.142171, 0.678914, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.017558, 0.239925, 0.573926, 0.635694, -0.456759, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.562092, -0.121055, -0.163162, 0.594790, 0.537589, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.379508, 0.832260, -0.341746, -0.122606, -0.177467, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.933892, 51.868391, 54.227315, 62.528077, 118.913745], [18.813677, 18.937675, 21.977500, 24.651837, 63.924581], [2.764013, 2.778535, 2.789305, 3.545218, 8.247366], [39.958837, 42.369895, 44.098017, 50.879953, 86.115819], [27.843900, 28.458159, 29.763971, 31.028428, 233.425449]]
### 10
mean: [-5.254346]
std: [3.720763]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[57.922496, 58.493781, 68.446752, 73.497545, 472.891136]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
1.149683,
1.028047,
-0.073139,
-0.186874,
0.346008
],
[
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0.154054,
0.142971,
-0.599695
],
[
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0.473008,
-0.224069,
0.007548,
-1.765152
],
[
0.287157,
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-0.565555,
-1.081064,
-0.202822
],
[
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],
"network.0.bias": [
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## Activation Signature
### 0
mean: [3.601002, -1.153354, -1.607289, -4.280062, 0.204572]
std: [3.501845, 1.242630, 3.483212, 2.708438, 2.879015]
pca: [[0.661124, -0.463971, -0.146656, 0.458313, 0.340715, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.066518, 0.281565, -0.086621, 0.770547, -0.561294, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.405720, 0.735050, -0.484922, -0.143678, 0.198240, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.164391, 0.401329, 0.819677, 0.193161, 0.320515, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.605687, 0.063941, -0.252921, 0.371822, 0.653325, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[53.827560, 54.543632, 57.689255, 61.215926, 324.090199], [19.353138, 20.183629, 22.030289, 26.935553, 103.801856], [49.161648, 49.394648, 68.639515, 69.765588, 144.656006], [37.209965, 41.313642, 41.502942, 49.644263, 385.205554], [39.240513, 42.448569, 44.044367, 45.230133, 58.477275]]
### 2
mean: [-2.080187, -2.773134, -0.592869, -1.355643, -2.752483]
std: [1.071276, 1.189323, 2.003770, 1.150110, 1.021504]
pca: [[-0.225758, 0.485739, -0.339345, 0.762793, -0.126816, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.094894, 0.608020, -0.319693, -0.573766, -0.435769, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.883392, -0.129358, -0.407088, 0.175854, 0.078988, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.391077, 0.314526, 0.776522, 0.207825, -0.319303, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.081889, 0.527928, 0.118040, -0.121750, 0.828148, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.495834, 15.569591, 16.493475, 21.843483, 187.216801], [17.473139, 17.847559, 18.495634, 21.055768, 249.582014], [30.228949, 31.890632, 31.979591, 42.200600, 53.358180], [18.788824, 19.187013, 19.800981, 20.580299, 122.007859], [15.737071, 16.416075, 16.501002, 16.975907, 247.723513]]
### 4
mean: [0.428097, -1.246938, 0.050668, 0.427581, 0.132838]
std: [0.590146, 0.307608, 0.420811, 0.762145, 0.449815]
pca: [[0.499942, 0.182685, -0.525031, -0.529870, -0.400330, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.253880, 0.649378, 0.540334, -0.452717, -0.130155, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.352618, 0.597827, -0.015374, 0.695105, -0.186699, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.645229, -0.357209, 0.655680, -0.047157, -0.154734, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.380714, 0.244827, -0.047219, -0.169973, 0.874069, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.725297, 9.186234, 9.334228, 11.228038, 38.528710], [4.741122, 4.847024, 4.921038, 4.980783, 112.224379], [5.865229, 6.128285, 6.361431, 6.435085, 8.374530], [11.356930, 11.783294, 11.916622, 14.074275, 38.482245], [6.534545, 6.946294, 7.032339, 8.680412, 11.955386]]
### 6
mean: [0.119811, 0.835510, 0.209125, 0.468118, 0.209023]
std: [0.822082, 0.898471, 1.544974, 0.847400, 1.462091]
pca: [[-0.316962, 0.692205, 0.378855, -0.413678, -0.325156, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.346454, 0.097853, 0.006105, 0.805172, -0.471227, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.595737, 0.148372, 0.705678, 0.320505, 0.149595, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.326750, 0.437266, -0.104514, 0.267680, 0.787056, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.563770, 0.545950, -0.589514, 0.078689, -0.174308, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.152800, 12.141210, 12.273192, 12.968068, 14.589943], [13.225090, 13.422328, 14.137657, 16.054578, 75.195889], [21.069194, 22.751118, 23.172016, 24.310667, 27.699783], [12.509669, 12.704796, 13.352262, 15.117823, 42.130589], [19.989120, 21.469089, 21.713986, 22.964682, 26.143174]]
### 8
mean: [1.321264, -0.710273, -0.091637, 0.956842, -2.593616]
std: [3.318621, 1.267415, 0.172689, 2.709065, 1.901371]
pca: [[0.688405, -0.187145, 0.523691, -0.454833, -0.099751, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.256549, 0.447327, 0.502936, -0.142171, 0.678914, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.017558, 0.239925, 0.573926, 0.635694, -0.456759, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.562092, -0.121055, -0.163162, 0.594790, 0.537589, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.379508, 0.832260, -0.341746, -0.122606, -0.177467, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.933892, 51.868391, 54.227315, 62.528077, 118.913745], [18.813677, 18.937675, 21.977500, 24.651837, 63.924581], [2.764013, 2.778535, 2.789305, 3.545218, 8.247366], [39.958837, 42.369895, 44.098017, 50.879953, 86.115819], [27.843900, 28.458159, 29.763971, 31.028428, 233.425449]]
### 10
mean: [-5.254346]
std: [3.720763]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[57.922496, 58.493781, 68.446752, 73.497545, 472.891136]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
mountain_pattern
|
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0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [39.9588368856922, 42.369895099367234, 44.09801685142457, 50.87995316205845, 86.11581888794899]}, "4": {"mean": -2.593616247177124, "std": 1.9013713598251343, "pca": [0.37950757145881653, 0.8322603106498718, -0.3417457640171051, -0.12260571867227554, -0.17746680974960327, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [27.84390041402153, 28.458158786538412, 29.763970932169272, 31.028427904760665, 233.42544889450073]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -5.254345893859863, "std": 3.7207627296447754, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [57.9224959870789, 58.493781097390276, 68.44675153698579, 73.49754542334121, 472.8911363482475]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.149683, 1.028047, -0.073139, -0.186874, 0.346008], [0.09564, -0.484616, 0.154054, 0.142971, -0.599695], [0.500548, 0.473008, -0.224069, 0.007548, -1.765152], [0.287157, -0.125566, -0.565555, -1.081064, -0.202822], [-0.782889, -1.05241, 0.468307, 0.774259, -0.0541]], "network.0.bias": [0.423735, -0.278064, -0.463228, -0.658795, 0.524684], "network.2.weight": [[-0.092229, 1.810966, -0.124945, -0.001804, -0.85859], [-0.356067, 1.062136, 0.13459, 0.715777, -0.850153], [-0.578438, -0.806382, 1.189901, 0.776986, 0.560013], [-0.297985, -0.033959, -0.29386, -0.255257, -0.179259], [-0.261919, 0.909618, -0.176429, 0.298007, -0.703711]], "network.2.bias": [-0.650581, -0.531493, 0.277045, 0.040522, -0.889984], "network.4.weight": [[0.990357, 0.453175, 0.709662, 0.244692, 0.954406], [0.283218, 0.084342, -0.394697, 0.734043, -0.22173], [0.731697, 1.053311, 0.496065, 0.762901, 0.661662], [0.328034, 0.368094, 0.988714, 0.092813, 0.681458], [0.708851, 0.480488, 0.547287, 0.399991, 0.701749]], "network.4.bias": [0.324983, -1.019128, 0.067013, 0.148511, 0.073471], "network.6.weight": [[0.238278, 0.878137, 0.392477, 0.615757, 0.254066], [0.501881, -0.132057, 0.416795, 0.544784, 0.276833], [-1.187221, -0.301846, -0.608364, -0.610155, -0.674051], [0.530237, 0.03462, 0.142951, 0.505003, 0.386408], [-0.559468, -0.581169, -0.762532, -0.67613, -1.131065]], "network.6.bias": [-0.169085, 0.340686, 0.996202, 0.009771, 0.8345], "network.8.weight": [[-1.117947, -0.696122, 1.502937, -1.049173, 1.124808], [-0.095379, 0.351454, -0.632368, 0.39345, -1.026083], [-0.50523, 0.204673, -0.34164, 0.095652, -0.06582], [-0.87029, -0.90609, 0.777528, -0.57037, 1.264815], [-0.977894, -0.684058, -0.232046, -0.871061, -0.218124]], "network.8.bias": [0.976517, -0.135406, 0.084484, 0.86289, -1.215234], "network.10.weight": [[-1.259197, 0.511036, -0.147814, -1.217008, 0.228054]], "network.10.bias": [-0.320742]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6905532777309418, "train_acc": 0.58, "val_loss": 0.7134354114532471, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6782084703445435, "train_acc": 0.58, "val_loss": 0.7088045477867126, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6768169701099396, "train_acc": 0.58, "val_loss": 0.6499548554420471, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6672723293304443, "train_acc": 0.675, "val_loss": 0.5553544759750366, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5486930310726166, "train_acc": 0.76, "val_loss": 0.5973184704780579, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5266482532024384, "train_acc": 0.725, "val_loss": 0.46154648065567017, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.442328542470932, "train_acc": 0.805, "val_loss": 0.47064948081970215, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.36321623623371124, "train_acc": 0.835, "val_loss": 0.48429322242736816, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3645003139972687, "train_acc": 0.84, "val_loss": 0.45387041568756104, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.33484597504138947, "train_acc": 0.845, "val_loss": 0.43063536286354065, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.33242376148700714, "train_acc": 0.85, "val_loss": 0.43030795454978943, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.3601222038269043, "train_acc": 0.845, "val_loss": 0.3558696508407593, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3066719323396683, "train_acc": 0.85, "val_loss": 0.4313005805015564, "val_acc": 0.76}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.7134354114532471, "final_val_loss": 0.6499548554420471, "initial_val_acc": 0.48, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.5553544759750366, "final_val_loss": 0.4313005805015564, "initial_val_acc": 0.76, "final_val_acc": 0.76, "best_val_acc": 0.88, "best_epoch": 10}, "improvement": 0.18000000000000005, "first_improvement_epoch": 2}}
|
155
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.44, "improved_accuracy": 0.84, "improvement": 0.39999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2833, "learning_rate": 0.07298892327090173, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.128052,
0.660245,
-0.156274,
-0.230058,
-0.866692
],
[
1.115012,
0.843152,
-0.020596,
0.088919,
-0.069469
],
[
1.371292,
0.147674,
0.078032,
-0.488871,
-0.181564
],
[
1.46289,
-0.022322,
-0.143779,
-0.352767,
0.179492
],
[
-1.157942,
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0.177856,
0.316866,
0.565977
]
],
"network.0.bias": [
-0.037692,
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0.637434,
0.411501,
-0.031369
],
"network.2.weight": [
[
0.980318,
0.097947,
0.411748,
0.719724,
-0.388196
],
[
0.388216,
-0.564777,
0.070888,
-0.479627,
-0.121889
],
[
-0.731475,
-0.409413,
0.373884,
0.55244,
0.051957
],
[
-0.14347,
-0.427065,
-0.182926,
0.030448,
0.048835
],
[
0.85767,
0.308508,
0.331926,
0.687312,
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]
],
"network.2.bias": [
0.407894,
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0.251773,
0.62595,
0.70963
],
"network.4.weight": [
[
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1.055942,
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0.222388
],
[
0.627845,
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0.615095,
0.24023,
0.934543
],
[
0.511862,
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0.64117,
0.505448,
0.323279
],
[
0.447008,
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0.148159,
0.387104,
0.26449
],
[
0.903785,
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0.271419,
-0.058691,
0.838273
]
],
"network.4.bias": [
-0.173299,
0.327489,
0.433073,
0.37767,
-0.095102
],
"network.6.weight": [
[
-0.179443,
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0.549171,
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],
[
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0.038804,
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],
[
0.276581,
0.314135,
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0.269397
],
[
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0.562516,
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],
[
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0.6367
]
],
"network.6.bias": [
-0.127574,
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0.35986
],
"network.8.weight": [
[
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],
[
0.632032,
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0.675827
],
[
0.155495,
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],
[
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0.800225,
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[
0.751238,
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]
],
"network.8.bias": [
-0.084677,
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],
"network.10.weight": [
[
0.072226,
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0.23367
],
[
-1.159299,
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0.871011,
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],
[
-0.542737,
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-0.053321,
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],
[
-0.677791,
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],
[
0.47917,
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]
],
"network.10.bias": [
0.162451,
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0.4562,
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],
"network.12.weight": [
[
0.088883,
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0.541689,
-0.262223,
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]
],
"network.12.bias": [
0.466502
]
}
## Activation Signature
### 0
mean: [0.680513, 3.642581, 1.503741, 1.355857, -0.076478]
std: [3.113979, 3.145258, 3.100606, 3.069357, 2.600132]
pca: [[0.455346, -0.588320, -0.370151, -0.021544, 0.555935, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.449789, -0.360394, 0.785048, 0.011941, -0.226633, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.478506, 0.367464, -0.135555, 0.783367, -0.062954, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.450494, 0.620415, 0.138391, -0.513338, 0.359823, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.398041, 0.063653, 0.457341, 0.349590, 0.711434, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.035202, 48.975303, 52.934657, 55.116432, 61.246171], [49.886104, 50.615364, 54.400051, 54.803843, 327.832286], [51.872606, 52.283049, 61.687761, 62.089371, 135.336644], [51.511513, 54.943693, 55.197166, 68.357503, 122.027102], [39.255569, 40.554763, 44.919563, 44.921974, 49.771917]]
### 2
mean: [3.672085, -2.291500, -0.564243, -1.336495, 4.197667]
std: [5.775893, 2.015574, 1.640997, 2.078964, 5.931077]
pca: [[0.661897, 0.076079, 0.287792, -0.686667, 0.042054, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.206564, -0.176766, 0.879309, 0.127187, -0.369761, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.045768, 0.963067, 0.068955, 0.076510, -0.244536, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.232407, 0.188321, 0.355601, 0.000110, 0.885478, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.680526, 0.001432, 0.113067, 0.711659, 0.132815, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[99.399067, 99.544791, 101.296240, 102.341201, 330.487632], [31.039387, 36.478906, 37.720299, 37.752152, 206.235022], [25.482895, 27.050483, 27.783909, 35.078874, 50.781874], [33.378854, 33.591404, 34.016060, 35.165196, 120.284515], [100.685365, 102.100326, 102.527651, 107.030833, 377.790032]]
### 4
mean: [0.539232, 6.811011, 3.902594, 3.244968, 6.885211]
std: [1.234447, 9.154161, 4.913806, 4.105126, 10.139617]
pca: [[0.078848, -0.585678, -0.472962, -0.227156, 0.612758, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.605087, 0.212992, -0.475129, 0.602028, -0.017835, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.323996, 0.658739, -0.057280, -0.594323, 0.323401, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.271307, -0.061458, 0.703984, 0.321505, 0.568907, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.670128, -0.417016, 0.227344, -0.359688, -0.442680, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.461262, 19.622755, 20.124075, 21.308831, 48.530857], [158.164083, 160.696751, 162.915749, 167.913142, 612.991049], [86.495001, 88.058707, 88.678872, 91.994309, 351.233464], [71.809589, 72.098623, 72.977214, 74.326928, 292.047140], [174.228218, 175.775481, 177.989101, 183.820147, 619.668917]]
### 6
mean: [8.622872, 0.542155, -1.533913, -0.323726, 14.048113]
std: [12.122528, 0.441277, 1.218148, 0.834545, 18.899408]
pca: [[0.538685, -0.131777, 0.021716, 0.630234, -0.542942, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.019459, -0.130215, 0.680272, 0.430806, 0.578189, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.052482, 0.961210, 0.201385, 0.135691, -0.119803, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.036990, -0.147802, 0.704279, -0.465932, -0.513502, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.839831, 0.141099, 0.013913, -0.426270, 0.304754, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[210.652163, 212.596464, 215.618974, 222.594302, 776.058589], [7.224610, 8.140859, 8.297795, 8.472581, 48.793989], [22.508554, 22.876144, 23.027277, 23.563698, 138.052192], [14.157701, 14.595970, 14.873655, 15.165313, 29.135318], [328.215091, 330.457902, 335.910302, 346.077093, 1264.330122]]
### 8
mean: [10.837444, 14.746328, 9.170813, 1.710644, 14.104817]
std: [14.754383, 20.428701, 12.515753, 2.859903, 19.601858]
pca: [[0.428777, 0.202264, 0.160922, 0.725012, -0.472971, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.593678, -0.173935, 0.243493, 0.123933, 0.736644, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.363717, 0.714788, -0.541944, -0.232925, 0.093970, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.083102, 0.422795, 0.775217, -0.436938, -0.149877, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.569649, -0.489038, -0.141954, -0.462417, -0.449845, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[255.651959, 258.617452, 262.554802, 270.216165, 975.370049], [354.332102, 358.215457, 363.416502, 374.330012, 1327.169631], [217.230358, 218.821380, 222.675143, 229.051865, 825.373183], [49.754550, 49.818274, 50.634362, 52.424707, 153.957949], [340.136338, 343.811773, 348.778497, 359.317832, 1269.433642]]
### 10
mean: [3.602386, -42.798832, -26.055233, -8.649445, 21.451475]
std: [4.672271, 57.640205, 37.128593, 10.213112, 29.954441]
pca: [[-0.061752, 0.211532, 0.824541, -0.494612, -0.164112, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.761840, -0.449249, -0.107118, -0.452400, -0.040436, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.490733, 0.668117, 0.037461, 0.105075, 0.548048, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.134984, -0.499606, 0.544733, 0.563813, 0.342862, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.395913, -0.239674, -0.102573, -0.470922, 0.743990, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[80.420849, 82.707819, 83.451446, 85.665607, 324.214726], [996.900772, 1013.496712, 1027.060395, 1055.651874, 3851.894712], [644.311331, 651.070562, 660.540021, 680.241385, 2344.970751], [175.583258, 180.276856, 182.435102, 186.864138, 778.449985], [519.087198, 525.862470, 533.227784, 548.726449, 1930.632927]]
### 12
mean: [-11.346092]
std: [16.578327]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[286.332754, 291.580839, 295.452654, 303.868828, 1021.148285]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.128052,
0.660245,
-0.156274,
-0.230058,
-0.866692
],
[
1.115012,
0.843152,
-0.020596,
0.088919,
-0.069469
],
[
1.371292,
0.147674,
0.078032,
-0.488871,
-0.181564
],
[
1.46289,
-0.022322,
-0.143779,
-0.352767,
0.179492
],
[
-1.157942,
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0.177856,
0.316866,
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]
],
"network.0.bias": [
-0.037692,
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0.637434,
0.411501,
-0.031369
],
"network.2.weight": [
[
0.980318,
0.097947,
0.411748,
0.719724,
-0.388196
],
[
0.388216,
-0.564777,
0.070888,
-0.479627,
-0.121889
],
[
-0.731475,
-0.409413,
0.373884,
0.55244,
0.051957
],
[
-0.14347,
-0.427065,
-0.182926,
0.030448,
0.048835
],
[
0.85767,
0.308508,
0.331926,
0.687312,
-0.596617
]
],
"network.2.bias": [
0.407894,
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0.251773,
0.62595,
0.70963
],
"network.4.weight": [
[
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1.055942,
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],
[
0.627845,
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0.615095,
0.24023,
0.934543
],
[
0.511862,
-0.828041,
0.64117,
0.505448,
0.323279
],
[
0.447008,
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0.148159,
0.387104,
0.26449
],
[
0.903785,
-0.337071,
0.271419,
-0.058691,
0.838273
]
],
"network.4.bias": [
-0.173299,
0.327489,
0.433073,
0.37767,
-0.095102
],
"network.6.weight": [
[
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0.509227,
0.549171,
-0.004777,
0.486711
],
[
-0.187055,
0.229334,
-0.148506,
0.038804,
-0.08736
],
[
0.276581,
0.314135,
-0.653417,
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0.269397
],
[
-0.432406,
0.159719,
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0.562516,
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],
[
-0.314132,
0.960269,
0.422553,
0.448651,
0.6367
]
],
"network.6.bias": [
-0.127574,
0.149942,
-0.237437,
0.080968,
0.35986
],
"network.8.weight": [
[
0.103081,
0.125644,
-0.274702,
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0.711077
],
[
0.632032,
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-0.068869,
0.675827
],
[
0.155495,
-0.329498,
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0.615682,
0.571016
],
[
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0.800225,
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0.18144
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[
0.751238,
0.207599,
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0.153412,
0.549448
]
],
"network.8.bias": [
-0.084677,
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-0.143277
],
"network.10.weight": [
[
0.072226,
0.086839,
-0.145777,
-0.32901,
0.23367
],
[
-1.159299,
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0.871011,
-0.700924
],
[
-0.542737,
-0.272562,
-0.053321,
-0.61695,
-1.074667
],
[
-0.677791,
-0.089759,
-0.459261,
0.612663,
0.289364
],
[
0.47917,
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0.169812,
0.113778,
0.499862
]
],
"network.10.bias": [
0.162451,
-0.90029,
0.4562,
-0.967604,
-0.089128
],
"network.12.weight": [
[
0.088883,
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0.541689,
-0.262223,
-0.566722
]
],
"network.12.bias": [
0.466502
]
}
## Activation Signature
### 0
mean: [0.680513, 3.642581, 1.503741, 1.355857, -0.076478]
std: [3.113979, 3.145258, 3.100606, 3.069357, 2.600132]
pca: [[0.455346, -0.588320, -0.370151, -0.021544, 0.555935, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.449789, -0.360394, 0.785048, 0.011941, -0.226633, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.478506, 0.367464, -0.135555, 0.783367, -0.062954, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.450494, 0.620415, 0.138391, -0.513338, 0.359823, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.398041, 0.063653, 0.457341, 0.349590, 0.711434, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.035202, 48.975303, 52.934657, 55.116432, 61.246171], [49.886104, 50.615364, 54.400051, 54.803843, 327.832286], [51.872606, 52.283049, 61.687761, 62.089371, 135.336644], [51.511513, 54.943693, 55.197166, 68.357503, 122.027102], [39.255569, 40.554763, 44.919563, 44.921974, 49.771917]]
### 2
mean: [3.672085, -2.291500, -0.564243, -1.336495, 4.197667]
std: [5.775893, 2.015574, 1.640997, 2.078964, 5.931077]
pca: [[0.661897, 0.076079, 0.287792, -0.686667, 0.042054, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.206564, -0.176766, 0.879309, 0.127187, -0.369761, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.045768, 0.963067, 0.068955, 0.076510, -0.244536, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.232407, 0.188321, 0.355601, 0.000110, 0.885478, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.680526, 0.001432, 0.113067, 0.711659, 0.132815, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[99.399067, 99.544791, 101.296240, 102.341201, 330.487632], [31.039387, 36.478906, 37.720299, 37.752152, 206.235022], [25.482895, 27.050483, 27.783909, 35.078874, 50.781874], [33.378854, 33.591404, 34.016060, 35.165196, 120.284515], [100.685365, 102.100326, 102.527651, 107.030833, 377.790032]]
### 4
mean: [0.539232, 6.811011, 3.902594, 3.244968, 6.885211]
std: [1.234447, 9.154161, 4.913806, 4.105126, 10.139617]
pca: [[0.078848, -0.585678, -0.472962, -0.227156, 0.612758, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.605087, 0.212992, -0.475129, 0.602028, -0.017835, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.323996, 0.658739, -0.057280, -0.594323, 0.323401, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.271307, -0.061458, 0.703984, 0.321505, 0.568907, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.670128, -0.417016, 0.227344, -0.359688, -0.442680, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.461262, 19.622755, 20.124075, 21.308831, 48.530857], [158.164083, 160.696751, 162.915749, 167.913142, 612.991049], [86.495001, 88.058707, 88.678872, 91.994309, 351.233464], [71.809589, 72.098623, 72.977214, 74.326928, 292.047140], [174.228218, 175.775481, 177.989101, 183.820147, 619.668917]]
### 6
mean: [8.622872, 0.542155, -1.533913, -0.323726, 14.048113]
std: [12.122528, 0.441277, 1.218148, 0.834545, 18.899408]
pca: [[0.538685, -0.131777, 0.021716, 0.630234, -0.542942, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.019459, -0.130215, 0.680272, 0.430806, 0.578189, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.052482, 0.961210, 0.201385, 0.135691, -0.119803, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.036990, -0.147802, 0.704279, -0.465932, -0.513502, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.839831, 0.141099, 0.013913, -0.426270, 0.304754, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[210.652163, 212.596464, 215.618974, 222.594302, 776.058589], [7.224610, 8.140859, 8.297795, 8.472581, 48.793989], [22.508554, 22.876144, 23.027277, 23.563698, 138.052192], [14.157701, 14.595970, 14.873655, 15.165313, 29.135318], [328.215091, 330.457902, 335.910302, 346.077093, 1264.330122]]
### 8
mean: [10.837444, 14.746328, 9.170813, 1.710644, 14.104817]
std: [14.754383, 20.428701, 12.515753, 2.859903, 19.601858]
pca: [[0.428777, 0.202264, 0.160922, 0.725012, -0.472971, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.593678, -0.173935, 0.243493, 0.123933, 0.736644, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.363717, 0.714788, -0.541944, -0.232925, 0.093970, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.083102, 0.422795, 0.775217, -0.436938, -0.149877, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.569649, -0.489038, -0.141954, -0.462417, -0.449845, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[255.651959, 258.617452, 262.554802, 270.216165, 975.370049], [354.332102, 358.215457, 363.416502, 374.330012, 1327.169631], [217.230358, 218.821380, 222.675143, 229.051865, 825.373183], [49.754550, 49.818274, 50.634362, 52.424707, 153.957949], [340.136338, 343.811773, 348.778497, 359.317832, 1269.433642]]
### 10
mean: [3.602386, -42.798832, -26.055233, -8.649445, 21.451475]
std: [4.672271, 57.640205, 37.128593, 10.213112, 29.954441]
pca: [[-0.061752, 0.211532, 0.824541, -0.494612, -0.164112, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.761840, -0.449249, -0.107118, -0.452400, -0.040436, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.490733, 0.668117, 0.037461, 0.105075, 0.548048, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.134984, -0.499606, 0.544733, 0.563813, 0.342862, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.395913, -0.239674, -0.102573, -0.470922, 0.743990, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[80.420849, 82.707819, 83.451446, 85.665607, 324.214726], [996.900772, 1013.496712, 1027.060395, 1055.651874, 3851.894712], [644.311331, 651.070562, 660.540021, 680.241385, 2344.970751], [175.583258, 180.276856, 182.435102, 186.864138, 778.449985], [519.087198, 525.862470, 533.227784, 548.726449, 1930.632927]]
### 12
mean: [-11.346092]
std: [16.578327]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[286.332754, 291.580839, 295.452654, 303.868828, 1021.148285]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.6805130839347839, "std": 3.113978862762451, "pca": [0.45534592866897583, -0.5883199572563171, -0.3701506555080414, -0.021543968468904495, 0.5559353232383728, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [45.03520189906381, 48.97530349712524, 52.93465728970063, 55.11643188946185, 61.246171329170465]}, "1": {"mean": 3.6425812244415283, "std": 3.1452584266662598, "pca": [0.4497893154621124, -0.3603939116001129, 0.785048246383667, 0.011941195465624332, -0.2266329973936081, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [49.88610354150158, 50.615364402930226, 54.40005094585305, 54.803842548601054, 327.8322860598564]}, "2": {"mean": 1.5037405490875244, "std": 3.1006057262420654, "pca": [0.4785059988498688, 0.3674635589122772, -0.13555485010147095, 0.7833672165870667, -0.06295421719551086, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [51.8726058808726, 52.28304944029691, 61.68776115535862, 62.089370827246334, 135.33664366602898]}, "3": {"mean": 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"fourier": [519.0871982007833, 525.8624703238321, 533.2277836445235, 548.7264490327718, 1930.6329271569848]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "12": {"neuron_profiles": {"0": {"mean": -11.346092224121094, "std": 16.578327178955078, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [286.33275363896723, 291.5808388394659, 295.4526535413288, 303.86882770631064, 1021.1482845395803]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.128052, 0.660245, -0.156274, -0.230058, -0.866692], [1.115012, 0.843152, -0.020596, 0.088919, -0.069469], [1.371292, 0.147674, 0.078032, -0.488871, -0.181564], [1.46289, -0.022322, -0.143779, -0.352767, 0.179492], [-1.157942, -0.193815, 0.177856, 0.316866, 0.565977]], "network.0.bias": [-0.037692, 0.656619, 0.637434, 0.411501, -0.031369], "network.2.weight": [[0.980318, 0.097947, 0.411748, 0.719724, -0.388196], [0.388216, -0.564777, 0.070888, -0.479627, -0.121889], [-0.731475, -0.409413, 0.373884, 0.55244, 0.051957], [-0.14347, -0.427065, -0.182926, 0.030448, 0.048835], [0.85767, 0.308508, 0.331926, 0.687312, -0.596617]], "network.2.bias": [0.407894, -0.022674, 0.251773, 0.62595, 0.70963], "network.4.weight": [[-0.021725, 1.055942, -0.264317, -0.580829, 0.222388], [0.627845, -0.925404, 0.615095, 0.24023, 0.934543], [0.511862, -0.828041, 0.64117, 0.505448, 0.323279], [0.447008, -0.671597, 0.148159, 0.387104, 0.26449], [0.903785, -0.337071, 0.271419, -0.058691, 0.838273]], "network.4.bias": [-0.173299, 0.327489, 0.433073, 0.37767, -0.095102], "network.6.weight": [[-0.179443, 0.509227, 0.549171, -0.004777, 0.486711], [-0.187055, 0.229334, -0.148506, 0.038804, -0.08736], [0.276581, 0.314135, -0.653417, -0.93113, 0.269397], [-0.432406, 0.159719, -0.405122, 0.562516, -0.211633], [-0.314132, 0.960269, 0.422553, 0.448651, 0.6367]], "network.6.bias": [-0.127574, 0.149942, -0.237437, 0.080968, 0.35986], "network.8.weight": [[0.103081, 0.125644, -0.274702, -0.002948, 0.711077], [0.632032, -0.057602, -0.471457, -0.068869, 0.675827], [0.155495, -0.329498, -0.054295, 0.615682, 0.571016], [-0.026953, -0.696527, 0.800225, -0.051517, 0.18144], [0.751238, 0.207599, -0.193799, 0.153412, 0.549448]], "network.8.bias": [-0.084677, -0.160763, -0.040439, -0.206663, -0.143277], "network.10.weight": [[0.072226, 0.086839, -0.145777, -0.32901, 0.23367], [-1.159299, -0.774345, -1.062837, 0.871011, -0.700924], [-0.542737, -0.272562, -0.053321, -0.61695, -1.074667], [-0.677791, -0.089759, -0.459261, 0.612663, 0.289364], [0.47917, 0.517709, 0.169812, 0.113778, 0.499862]], "network.10.bias": [0.162451, -0.90029, 0.4562, -0.967604, -0.089128], "network.12.weight": [[0.088883, -0.661563, 0.541689, -0.262223, -0.566722]], "network.12.bias": [0.466502]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7072448432445526, "train_acc": 0.44, "val_loss": 0.7164363265037537, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6933764815330505, "train_acc": 0.58, "val_loss": 0.7422288656234741, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6636658906936646, "train_acc": 0.58, "val_loss": 0.6620796322822571, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6381207704544067, "train_acc": 0.515, "val_loss": 0.5695685744285583, "val_acc": 0.44}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5727842748165131, "train_acc": 0.55, "val_loss": 0.536003828048706, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5883362293243408, "train_acc": 0.69, "val_loss": 0.5132204294204712, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5456390678882599, "train_acc": 0.68, "val_loss": 0.5655744075775146, "val_acc": 0.7}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5496701598167419, "train_acc": 0.69, "val_loss": 0.5104708075523376, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.5209445059299469, "train_acc": 0.72, "val_loss": 0.5111038088798523, "val_acc": 0.7}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.46799588203430176, "train_acc": 0.775, "val_loss": 0.4329189360141754, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.43648959696292877, "train_acc": 0.815, "val_loss": 0.46174898743629456, "val_acc": 0.76}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.42132772505283356, "train_acc": 0.81, "val_loss": 0.366841584444046, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3866756856441498, "train_acc": 0.82, "val_loss": 0.3645539879798889, "val_acc": 0.84}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7164363265037537, "final_val_loss": 0.6620796322822571, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5695685744285583, "final_val_loss": 0.3645539879798889, "initial_val_acc": 0.44, "final_val_acc": 0.84, "best_val_acc": 0.84, "best_epoch": 9}, "improvement": 0.39999999999999997, "first_improvement_epoch": 2}}
|
156
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.38, "improved_accuracy": 0.82, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8480, "learning_rate": 0.03803327906630465, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
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[
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[
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[
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],
"network.0.bias": [
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"network.2.weight": [
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[
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[
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"network.2.bias": [
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"network.4.weight": [
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],
[
-0.262813,
-0.600599,
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0.650468,
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],
[
0.121473,
0.304615,
0.344333,
-0.125886,
0.598415
],
[
0.72077,
-0.847738,
0.360848,
-1.103612,
1.000621
]
],
"network.4.bias": [
-0.013499,
0.239706,
0.442996,
-0.542984,
-0.061805
],
"network.6.weight": [
[
-0.515892,
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0.258368,
-0.318838,
-0.333501
],
[
0.813107,
-0.884826,
-0.500222,
0.123635,
0.944311
],
[
-0.218289,
-0.119504,
0.182089,
-0.07795,
-0.547835
],
[
-0.519678,
0.675676,
0.758735,
-0.955857,
-0.232323
],
[
-0.491247,
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0.671964,
-0.535506,
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]
],
"network.6.bias": [
0.613581,
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0.295164,
0.389528,
0.126871
],
"network.8.weight": [
[
0.747065,
-0.785244,
0.23424,
0.977427,
0.03774
]
],
"network.8.bias": [
0.141084
]
}
## Activation Signature
### 0
mean: [2.044333, -0.465578, 2.199254, 2.066128, 1.615332]
std: [2.135100, 1.799160, 2.305716, 1.944241, 1.982239]
pca: [[0.466272, 0.564361, -0.243078, -0.636213, -0.015248, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.366335, 0.634234, 0.509907, 0.088701, 0.442350, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.504420, -0.227052, 0.806374, -0.136009, -0.158969, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.431361, 0.424480, -0.085770, 0.732625, -0.299416, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.455936, -0.217965, -0.152688, 0.179242, 0.830164, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.845805, 37.980298, 38.681462, 43.570762, 183.989963], [29.151213, 29.418293, 30.276637, 31.260070, 41.902051], [37.725325, 39.027776, 43.841293, 45.600602, 197.932854], [31.501240, 32.150091, 33.887129, 38.101046, 185.951552], [31.636813, 33.660326, 33.781250, 36.603685, 145.379864]]
### 2
mean: [5.453975, -0.843239, 2.947320, -1.331910, 5.428566]
std: [5.099929, 1.132983, 2.481140, 1.037799, 4.815974]
pca: [[0.675282, 0.025692, -0.183413, -0.008658, 0.713876, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.142891, 0.362729, 0.828123, 0.219742, 0.337543, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.326315, 0.335095, -0.158145, 0.795308, -0.351719, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.103210, 0.868872, -0.290368, -0.387204, -0.012938, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.637529, 0.023233, 0.413821, -0.411336, -0.502566, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[79.663746, 84.520659, 86.916371, 98.033583, 490.857745], [18.362466, 19.411583, 19.582757, 21.087210, 75.891500], [40.165737, 40.347474, 40.561090, 48.780603, 265.258832], [16.922685, 18.790634, 18.947566, 21.279677, 119.871856], [76.134687, 79.569324, 82.920804, 91.364028, 488.570978]]
### 4
mean: [12.034391, -8.242555, -5.712770, 4.346574, 10.454703]
std: [10.863150, 7.579921, 5.446876, 4.367602, 9.408019]
pca: [[0.614338, 0.127230, -0.133362, 0.731844, -0.230263, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.428598, 0.665074, 0.403474, 0.185379, -0.420505, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.307999, 0.398436, -0.427297, 0.324466, 0.677144, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.246986, 0.001937, 0.786762, 0.110272, 0.554833, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.532003, 0.618656, -0.133589, -0.559108, 0.061569, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[170.017332, 180.113906, 183.493916, 210.457651, 1083.095195], [119.513637, 125.005205, 127.078910, 147.507880, 741.829969], [85.521310, 89.665837, 91.695407, 105.389742, 514.149206], [68.564985, 72.035612, 74.378338, 84.255726, 391.191660], [146.983082, 156.656559, 158.899763, 181.745828, 940.923363]]
### 6
mean: [-10.458789, 20.140888, -8.380696, -12.461206, -8.913324]
std: [10.141480, 18.288570, 7.883001, 11.989203, 8.394514]
pca: [[-0.379624, -0.023822, 0.538636, 0.436604, -0.612018, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.684594, 0.409698, 0.598333, -0.060163, 0.043084, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.295076, -0.464710, 0.582076, -0.454891, 0.388891, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.448784, 0.692844, -0.005533, -0.545979, -0.142957, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.314229, 0.368228, 0.114128, 0.548396, 0.672239, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[158.779745, 168.355409, 171.474302, 196.415063, 941.291014], [285.985578, 303.478575, 309.165375, 353.598292, 1812.679898], [123.562785, 131.168457, 133.260989, 152.763132, 754.262726], [187.805772, 198.448273, 202.811993, 231.614126, 1121.508452], [131.206611, 138.969928, 142.021852, 162.353744, 802.199233]]
### 8
mean: [-15.593950]
std: [14.458666]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[226.334876, 238.376576, 245.555291, 277.934726, 1403.455658]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.392597,
0.70567,
0.17957,
0.253777,
-0.514847
],
[
-0.765396,
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0.130272,
-0.103929,
0.660234
],
[
0.751094,
0.179036,
0.570498,
0.105339,
-0.603456
],
[
0.551249,
0.597619,
0.093857,
0.152253,
-0.237811
],
[
0.778841,
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]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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0.21242,
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],
[
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0.013179,
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],
[
0.493194,
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0.16369
],
[
0.170977,
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],
[
0.618945,
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0.64359
]
],
"network.2.bias": [
0.141163,
0.296277,
0.346085,
-0.28228,
0.440351
],
"network.4.weight": [
[
1.038749,
-0.163137,
0.690893,
-0.889627,
0.796378
],
[
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0.678252,
-0.385309
],
[
-0.262813,
-0.600599,
-0.692677,
0.650468,
-0.496973
],
[
0.121473,
0.304615,
0.344333,
-0.125886,
0.598415
],
[
0.72077,
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0.360848,
-1.103612,
1.000621
]
],
"network.4.bias": [
-0.013499,
0.239706,
0.442996,
-0.542984,
-0.061805
],
"network.6.weight": [
[
-0.515892,
0.204104,
0.258368,
-0.318838,
-0.333501
],
[
0.813107,
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-0.500222,
0.123635,
0.944311
],
[
-0.218289,
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0.182089,
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],
[
-0.519678,
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0.758735,
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],
[
-0.491247,
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0.671964,
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]
],
"network.6.bias": [
0.613581,
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0.295164,
0.389528,
0.126871
],
"network.8.weight": [
[
0.747065,
-0.785244,
0.23424,
0.977427,
0.03774
]
],
"network.8.bias": [
0.141084
]
}
## Activation Signature
### 0
mean: [2.044333, -0.465578, 2.199254, 2.066128, 1.615332]
std: [2.135100, 1.799160, 2.305716, 1.944241, 1.982239]
pca: [[0.466272, 0.564361, -0.243078, -0.636213, -0.015248, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.366335, 0.634234, 0.509907, 0.088701, 0.442350, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.504420, -0.227052, 0.806374, -0.136009, -0.158969, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.431361, 0.424480, -0.085770, 0.732625, -0.299416, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.455936, -0.217965, -0.152688, 0.179242, 0.830164, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.845805, 37.980298, 38.681462, 43.570762, 183.989963], [29.151213, 29.418293, 30.276637, 31.260070, 41.902051], [37.725325, 39.027776, 43.841293, 45.600602, 197.932854], [31.501240, 32.150091, 33.887129, 38.101046, 185.951552], [31.636813, 33.660326, 33.781250, 36.603685, 145.379864]]
### 2
mean: [5.453975, -0.843239, 2.947320, -1.331910, 5.428566]
std: [5.099929, 1.132983, 2.481140, 1.037799, 4.815974]
pca: [[0.675282, 0.025692, -0.183413, -0.008658, 0.713876, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.142891, 0.362729, 0.828123, 0.219742, 0.337543, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.326315, 0.335095, -0.158145, 0.795308, -0.351719, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.103210, 0.868872, -0.290368, -0.387204, -0.012938, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.637529, 0.023233, 0.413821, -0.411336, -0.502566, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[79.663746, 84.520659, 86.916371, 98.033583, 490.857745], [18.362466, 19.411583, 19.582757, 21.087210, 75.891500], [40.165737, 40.347474, 40.561090, 48.780603, 265.258832], [16.922685, 18.790634, 18.947566, 21.279677, 119.871856], [76.134687, 79.569324, 82.920804, 91.364028, 488.570978]]
### 4
mean: [12.034391, -8.242555, -5.712770, 4.346574, 10.454703]
std: [10.863150, 7.579921, 5.446876, 4.367602, 9.408019]
pca: [[0.614338, 0.127230, -0.133362, 0.731844, -0.230263, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.428598, 0.665074, 0.403474, 0.185379, -0.420505, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.307999, 0.398436, -0.427297, 0.324466, 0.677144, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.246986, 0.001937, 0.786762, 0.110272, 0.554833, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.532003, 0.618656, -0.133589, -0.559108, 0.061569, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[170.017332, 180.113906, 183.493916, 210.457651, 1083.095195], [119.513637, 125.005205, 127.078910, 147.507880, 741.829969], [85.521310, 89.665837, 91.695407, 105.389742, 514.149206], [68.564985, 72.035612, 74.378338, 84.255726, 391.191660], [146.983082, 156.656559, 158.899763, 181.745828, 940.923363]]
### 6
mean: [-10.458789, 20.140888, -8.380696, -12.461206, -8.913324]
std: [10.141480, 18.288570, 7.883001, 11.989203, 8.394514]
pca: [[-0.379624, -0.023822, 0.538636, 0.436604, -0.612018, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.684594, 0.409698, 0.598333, -0.060163, 0.043084, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.295076, -0.464710, 0.582076, -0.454891, 0.388891, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.448784, 0.692844, -0.005533, -0.545979, -0.142957, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.314229, 0.368228, 0.114128, 0.548396, 0.672239, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[158.779745, 168.355409, 171.474302, 196.415063, 941.291014], [285.985578, 303.478575, 309.165375, 353.598292, 1812.679898], [123.562785, 131.168457, 133.260989, 152.763132, 754.262726], [187.805772, 198.448273, 202.811993, 231.614126, 1121.508452], [131.206611, 138.969928, 142.021852, 162.353744, 802.199233]]
### 8
mean: [-15.593950]
std: [14.458666]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[226.334876, 238.376576, 245.555291, 277.934726, 1403.455658]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.044332981109619, "std": 2.1350998878479004, "pca": [0.466272234916687, 0.5643609166145325, -0.24307823181152344, -0.6362133622169495, -0.01524790097028017, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [34.84580543792016, 37.98029773473907, 38.68146240971945, 43.570762315499444, 183.98996261507273]}, "1": {"mean": -0.4655783772468567, "std": 1.7991598844528198, "pca": [-0.3663352131843567, 0.6342336535453796, 0.509906530380249, 0.08870086818933487, 0.4423501789569855, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [29.151212780741744, 29.418293458693707, 30.27663664219977, 31.260069945489082, 41.902050867676735]}, "2": {"mean": 2.199254274368286, "std": 2.305715560913086, "pca": [0.50441974401474, -0.2270524799823761, 0.8063735961914062, -0.13600872457027435, -0.15896916389465332, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [37.72532532163876, 39.02777635003398, 43.841292791844985, 45.600601821433905, 197.93285408616066]}, "3": {"mean": 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245.55529134224466, 277.93472560302445, 1403.4556581825018]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.392597, 0.70567, 0.17957, 0.253777, -0.514847], [-0.765396, -0.065346, 0.130272, -0.103929, 0.660234], [0.751094, 0.179036, 0.570498, 0.105339, -0.603456], [0.551249, 0.597619, 0.093857, 0.152253, -0.237811], [0.778841, 0.237598, 0.086545, 0.217252, -0.566968]], "network.0.bias": [-0.014455, -0.257554, 0.264978, 0.061878, 0.265746], "network.2.weight": [[0.671617, -0.067723, 0.905323, 0.21242, 0.863148], [0.086046, -0.187918, 0.013179, -0.070959, -0.678031], [0.493194, -0.106659, 0.706808, -0.134377, 0.16369], [0.170977, -0.540215, 0.323986, -0.50255, -0.567847], [0.618945, -0.140904, 0.802009, 0.418154, 0.64359]], "network.2.bias": [0.141163, 0.296277, 0.346085, -0.28228, 0.440351], "network.4.weight": [[1.038749, -0.163137, 0.690893, -0.889627, 0.796378], [-0.632512, -0.391759, -1.004459, 0.678252, -0.385309], [-0.262813, -0.600599, -0.692677, 0.650468, -0.496973], [0.121473, 0.304615, 0.344333, -0.125886, 0.598415], [0.72077, -0.847738, 0.360848, -1.103612, 1.000621]], "network.4.bias": [-0.013499, 0.239706, 0.442996, -0.542984, -0.061805], "network.6.weight": [[-0.515892, 0.204104, 0.258368, -0.318838, -0.333501], [0.813107, -0.884826, -0.500222, 0.123635, 0.944311], [-0.218289, -0.119504, 0.182089, -0.07795, -0.547835], [-0.519678, 0.675676, 0.758735, -0.955857, -0.232323], [-0.491247, 0.091936, 0.671964, -0.535506, -0.076591]], "network.6.bias": [0.613581, -0.025636, 0.295164, 0.389528, 0.126871], "network.8.weight": [[0.747065, -0.785244, 0.23424, 0.977427, 0.03774]], "network.8.bias": [0.141084]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6803462505340576, "train_acc": 0.615, "val_loss": 0.7398225665092468, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6487970650196075, "train_acc": 0.615, "val_loss": 0.7601310610771179, "val_acc": 0.38}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6459786593914032, "train_acc": 0.615, "val_loss": 0.7498615384101868, "val_acc": 0.38}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5842233598232269, "train_acc": 0.615, "val_loss": 0.6869596838951111, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5582006871700287, "train_acc": 0.53, "val_loss": 0.6113404035568237, "val_acc": 0.38}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.4804360717535019, "train_acc": 0.66, "val_loss": 0.535878598690033, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4231070727109909, "train_acc": 0.85, "val_loss": 0.48417896032333374, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3525906801223755, "train_acc": 0.865, "val_loss": 0.5933882594108582, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3270759582519531, "train_acc": 0.86, "val_loss": 0.4814913868904114, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.30326905101537704, "train_acc": 0.86, "val_loss": 0.48147720098495483, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.30458537489175797, "train_acc": 0.865, "val_loss": 0.5452295541763306, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.28400491178035736, "train_acc": 0.895, "val_loss": 0.5813896059989929, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.323381207883358, "train_acc": 0.885, "val_loss": 0.4836810231208801, "val_acc": 0.82}], "summary": {"total_epochs": 13, "degraded_epochs": 4, "improved_epochs": 9, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7398225665092468, "final_val_loss": 0.6869596838951111, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.6113404035568237, "final_val_loss": 0.4836810231208801, "initial_val_acc": 0.38, "final_val_acc": 0.82, "best_val_acc": 0.82, "best_epoch": 10}, "improvement": 0.43999999999999995, "first_improvement_epoch": 3}}
|
157
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.72, "improved_accuracy": 0.94, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2514, "learning_rate": 0.07462985074595022, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.180353,
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-0.293144,
0.401683,
0.236265,
-0.355982,
-0.782695,
0.246034
],
[
-0.413461,
0.275685,
-0.934709,
-0.222258,
-0.205067,
0.106863,
0.198727,
-0.247979
],
[
0.412348,
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-0.03921,
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],
[
0.133651,
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0.144214,
0.202292,
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]
],
"network.8.bias": [
0.190416,
0.097595,
-0.417311,
0.042777,
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0.045543,
0.591552,
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],
"network.10.weight": [
[
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-0.186811,
-0.032254,
0.121492,
-0.067502,
0.283084,
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]
],
"network.10.bias": [
0.250076
]
}
## Activation Signature
### 0
mean: [1.075990, 1.619873, 1.041138, -0.386528, -3.390224, 0.261087, -6.080649, 0.461402]
std: [1.877209, 2.006358, 0.719938, 1.908156, 2.527770, 1.408922, 3.529785, 1.643558]
pca: [[-0.134024, 0.501984, -0.255283, -0.450093, -0.412593, -0.132871, -0.069838, 0.519164, 0.000000, 0.000000], [-0.253349, 0.493988, -0.060119, 0.449902, -0.384963, 0.371270, 0.268332, -0.357384, 0.000000, 0.000000], [-0.137957, -0.024581, -0.033310, 0.187675, 0.367821, 0.672476, -0.014888, 0.596904, 0.000000, 0.000000], [-0.084310, 0.208771, 0.813126, -0.339778, 0.101131, 0.053044, 0.398487, 0.029180, 0.000000, 0.000000], [0.485106, 0.401270, 0.036708, 0.493054, 0.240243, -0.411605, 0.210018, 0.296583, 0.000000, 0.000000], [0.002775, -0.385830, -0.329099, -0.078940, -0.129571, -0.044142, 0.835343, 0.141616, 0.000000, 0.000000], [0.809045, 0.036473, -0.023963, -0.251598, -0.225428, 0.464131, -0.009501, -0.117961, 0.000000, 0.000000], [-0.042691, 0.385467, -0.398379, -0.362902, 0.640880, 0.051776, 0.148700, -0.351665, 0.000000, 0.000000]]
fourier: [[30.123415, 30.207243, 34.808077, 40.494496, 96.839119], [30.906117, 31.739885, 32.140081, 36.619967, 145.788616], [11.159127, 12.044237, 12.832557, 14.131291, 93.702470], [32.000190, 34.787544, 35.729173, 36.870169, 45.942999], [39.536054, 41.229301, 47.234011, 53.868901, 305.120124], [21.238570, 21.394993, 23.076211, 23.497795, 23.851133], [55.750923, 64.416540, 64.733020, 70.353392, 547.258368], [25.456277, 26.479358, 28.418328, 32.028760, 41.526182]]
### 2
mean: [-2.261414, -1.342648, -1.922041, 2.387673, 1.197713, -1.163854, -3.613992, 0.317051]
std: [1.333575, 1.583139, 2.068052, 2.669054, 1.473732, 1.295620, 2.513968, 0.857180]
pca: [[-0.225627, 0.598320, 0.299101, -0.182283, -0.294556, -0.504929, -0.341154, 0.101556, 0.000000, 0.000000], [-0.316881, -0.152277, 0.244881, -0.007411, 0.272380, 0.382770, -0.454942, 0.623458, 0.000000, 0.000000], [-0.414477, -0.210587, 0.083015, -0.070097, 0.682240, -0.446366, -0.010865, -0.327482, 0.000000, 0.000000], [0.530737, 0.341859, 0.214222, 0.518705, 0.406321, 0.047247, -0.307971, -0.155977, 0.000000, 0.000000], [0.279653, 0.363638, -0.225654, -0.382122, 0.434597, -0.113533, 0.395960, 0.483814, 0.000000, 0.000000], [-0.244002, -0.018624, -0.236534, 0.725605, -0.082429, -0.352696, 0.247766, 0.406310, 0.000000, 0.000000], [-0.494280, 0.542258, 0.048502, 0.137632, 0.097077, 0.506196, 0.342629, -0.239365, 0.000000, 0.000000], [0.114677, -0.176030, 0.829800, 0.035869, -0.058346, -0.059497, 0.496095, 0.113812, 0.000000, 0.000000]]
fourier: [[21.230982, 21.632244, 22.782308, 26.814382, 203.527218], [24.473495, 25.184485, 27.865637, 30.903223, 120.838307], [33.469719, 33.511444, 38.131879, 38.151113, 172.983677], [45.493918, 47.375087, 47.813573, 48.159789, 214.890568], [21.235975, 25.409194, 26.016981, 31.600344, 107.794159], [19.741937, 19.839675, 22.888287, 27.614477, 104.746821], [37.188856, 42.321753, 44.440729, 48.467129, 325.259247], [13.339747, 14.187909, 14.307369, 16.400019, 28.534544]]
### 4
mean: [2.212859, 2.116083, 2.473601, -1.428342, -0.860240, -1.268966, 0.538398, -2.123138]
std: [2.201939, 2.149897, 2.359097, 1.854763, 0.895899, 1.286397, 0.465558, 2.041337]
pca: [[0.439091, -0.240435, 0.247328, 0.035670, 0.584267, -0.159763, 0.510444, -0.243929, 0.000000, 0.000000], [0.424783, 0.693377, -0.203280, -0.355132, -0.177997, 0.157088, 0.339080, 0.003477, 0.000000, 0.000000], [0.470356, -0.103553, 0.662667, -0.001438, -0.309349, 0.079979, -0.185662, 0.438575, 0.000000, 0.000000], [-0.369798, 0.149879, 0.393084, 0.357143, -0.441632, -0.041519, 0.556243, -0.229238, 0.000000, 0.000000], [-0.178653, -0.040027, -0.223996, 0.157760, 0.172461, -0.013632, 0.424985, 0.825153, 0.000000, 0.000000], [-0.256612, -0.080903, 0.217766, -0.238197, 0.231770, 0.872513, 0.085775, -0.033032, 0.000000, 0.000000], [0.079426, 0.524698, 0.094869, 0.681801, 0.370546, 0.164219, -0.283151, 0.009149, 0.000000, 0.000000], [-0.405830, 0.380496, 0.444148, -0.445620, 0.339777, -0.391466, -0.111582, 0.116344, 0.000000, 0.000000]]
fourier: [[35.334855, 35.888633, 39.324166, 44.022528, 199.157347], [36.529402, 38.603200, 38.661245, 41.930259, 190.447499], [38.315321, 39.477794, 42.699067, 46.530689, 222.624108], [29.954801, 30.236780, 33.186237, 38.016445, 128.550732], [14.865724, 15.285006, 16.280324, 17.715259, 77.421568], [21.099194, 22.072028, 22.927760, 25.627852, 114.206949], [7.049676, 7.294867, 7.949986, 9.364420, 48.455849], [32.137236, 32.314139, 36.436160, 41.444121, 191.082453]]
### 6
mean: [-4.998709, 2.710917, -1.625108, -1.478640, -4.685761, 2.897022, 3.148067, -3.324584]
std: [5.040830, 2.725067, 1.814488, 1.604629, 4.270305, 2.787407, 3.095176, 3.245039]
pca: [[0.548032, 0.074568, 0.254208, -0.413270, -0.079146, 0.195881, -0.432864, -0.476112, 0.000000, 0.000000], [-0.295401, 0.507145, -0.229483, -0.338047, -0.157184, -0.569502, 0.074929, -0.365992, 0.000000, 0.000000], [0.197067, 0.187579, 0.145777, -0.165402, -0.567739, 0.299314, 0.677646, 0.079048, 0.000000, 0.000000], [0.172681, 0.535901, -0.203022, 0.643492, -0.324997, 0.123135, -0.326509, 0.017275, 0.000000, 0.000000], [0.464212, 0.145506, -0.268896, 0.212436, 0.577520, -0.031042, 0.467526, -0.304676, 0.000000, 0.000000], [-0.302488, 0.368812, -0.334064, -0.352296, 0.296200, 0.651735, -0.083315, 0.131657, 0.000000, 0.000000], [-0.335521, 0.332728, 0.764999, 0.226928, 0.269075, 0.104893, 0.100546, -0.215603, 0.000000, 0.000000], [0.352390, 0.383362, 0.226095, -0.229684, 0.217745, -0.309552, -0.074636, 0.690054, 0.000000, 0.000000]]
fourier: [[79.626483, 84.060737, 91.849351, 99.798540, 449.883823], [45.857363, 46.749400, 50.652020, 54.460516, 243.982565], [27.710134, 30.186518, 32.563849, 35.443505, 146.259676], [24.589350, 26.321627, 27.336829, 29.321916, 133.077618], [66.964061, 71.052138, 77.376552, 83.785546, 421.718488], [46.240278, 47.787723, 51.238799, 55.296489, 260.731965], [50.258950, 50.606948, 57.049305, 62.518145, 283.326076], [49.503473, 53.871244, 58.273002, 63.205486, 299.212535]]
### 8
mean: [4.734335, -5.923046, 1.152814, -4.350779, -4.872727, 1.681171, -4.751290, -6.267379]
std: [4.467980, 5.428000, 1.442832, 3.974384, 3.922121, 1.766249, 5.060818, 5.648682]
pca: [[-0.372831, 0.598265, 0.026361, 0.021033, 0.453704, -0.303943, -0.412899, -0.182275, 0.000000, 0.000000], [0.453581, 0.264102, 0.629493, 0.279987, 0.173508, 0.452812, -0.120660, 0.012563, 0.000000, 0.000000], [-0.120527, -0.079524, -0.296029, 0.128065, 0.505964, 0.286061, 0.003039, 0.732991, 0.000000, 0.000000], [0.331949, 0.348856, -0.327664, 0.658330, -0.193168, -0.358624, 0.218225, 0.117471, 0.000000, 0.000000], [0.327671, 0.242096, -0.624564, -0.216018, 0.083363, 0.486022, -0.093864, -0.381184, 0.000000, 0.000000], [-0.146114, 0.574306, 0.123198, -0.400519, -0.137235, 0.103016, 0.632232, 0.209920, 0.000000, 0.000000], [0.422972, -0.193303, 0.052603, -0.208199, 0.632882, -0.388414, 0.391863, -0.180704, 0.000000, 0.000000], [0.472146, 0.136018, -0.004672, -0.470042, -0.210740, -0.307316, -0.453034, 0.439911, 0.000000, 0.000000]]
fourier: [[74.214691, 74.284604, 83.569069, 89.971609, 426.090147], [83.934932, 89.978801, 99.170113, 107.061777, 533.074030], [22.219023, 23.981923, 26.220265, 28.307182, 103.753243], [60.405220, 64.645096, 72.345483, 78.673546, 391.570109], [60.296522, 63.780531, 71.491454, 77.618274, 438.545472], [29.507612, 31.283764, 33.805803, 36.274730, 151.305354], [80.782082, 84.153299, 93.704439, 100.821651, 427.616113], [88.043958, 93.258222, 103.442727, 111.808946, 564.064094]]
### 10
mean: [-2.231158]
std: [2.404995]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.449357, 39.956159, 44.908112, 48.221118, 200.804221]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.2.weight": [
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"network.2.bias": [
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],
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],
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],
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"network.10.weight": [
[
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]
],
"network.10.bias": [
0.250076
]
}
## Activation Signature
### 0
mean: [1.075990, 1.619873, 1.041138, -0.386528, -3.390224, 0.261087, -6.080649, 0.461402]
std: [1.877209, 2.006358, 0.719938, 1.908156, 2.527770, 1.408922, 3.529785, 1.643558]
pca: [[-0.134024, 0.501984, -0.255283, -0.450093, -0.412593, -0.132871, -0.069838, 0.519164, 0.000000, 0.000000], [-0.253349, 0.493988, -0.060119, 0.449902, -0.384963, 0.371270, 0.268332, -0.357384, 0.000000, 0.000000], [-0.137957, -0.024581, -0.033310, 0.187675, 0.367821, 0.672476, -0.014888, 0.596904, 0.000000, 0.000000], [-0.084310, 0.208771, 0.813126, -0.339778, 0.101131, 0.053044, 0.398487, 0.029180, 0.000000, 0.000000], [0.485106, 0.401270, 0.036708, 0.493054, 0.240243, -0.411605, 0.210018, 0.296583, 0.000000, 0.000000], [0.002775, -0.385830, -0.329099, -0.078940, -0.129571, -0.044142, 0.835343, 0.141616, 0.000000, 0.000000], [0.809045, 0.036473, -0.023963, -0.251598, -0.225428, 0.464131, -0.009501, -0.117961, 0.000000, 0.000000], [-0.042691, 0.385467, -0.398379, -0.362902, 0.640880, 0.051776, 0.148700, -0.351665, 0.000000, 0.000000]]
fourier: [[30.123415, 30.207243, 34.808077, 40.494496, 96.839119], [30.906117, 31.739885, 32.140081, 36.619967, 145.788616], [11.159127, 12.044237, 12.832557, 14.131291, 93.702470], [32.000190, 34.787544, 35.729173, 36.870169, 45.942999], [39.536054, 41.229301, 47.234011, 53.868901, 305.120124], [21.238570, 21.394993, 23.076211, 23.497795, 23.851133], [55.750923, 64.416540, 64.733020, 70.353392, 547.258368], [25.456277, 26.479358, 28.418328, 32.028760, 41.526182]]
### 2
mean: [-2.261414, -1.342648, -1.922041, 2.387673, 1.197713, -1.163854, -3.613992, 0.317051]
std: [1.333575, 1.583139, 2.068052, 2.669054, 1.473732, 1.295620, 2.513968, 0.857180]
pca: [[-0.225627, 0.598320, 0.299101, -0.182283, -0.294556, -0.504929, -0.341154, 0.101556, 0.000000, 0.000000], [-0.316881, -0.152277, 0.244881, -0.007411, 0.272380, 0.382770, -0.454942, 0.623458, 0.000000, 0.000000], [-0.414477, -0.210587, 0.083015, -0.070097, 0.682240, -0.446366, -0.010865, -0.327482, 0.000000, 0.000000], [0.530737, 0.341859, 0.214222, 0.518705, 0.406321, 0.047247, -0.307971, -0.155977, 0.000000, 0.000000], [0.279653, 0.363638, -0.225654, -0.382122, 0.434597, -0.113533, 0.395960, 0.483814, 0.000000, 0.000000], [-0.244002, -0.018624, -0.236534, 0.725605, -0.082429, -0.352696, 0.247766, 0.406310, 0.000000, 0.000000], [-0.494280, 0.542258, 0.048502, 0.137632, 0.097077, 0.506196, 0.342629, -0.239365, 0.000000, 0.000000], [0.114677, -0.176030, 0.829800, 0.035869, -0.058346, -0.059497, 0.496095, 0.113812, 0.000000, 0.000000]]
fourier: [[21.230982, 21.632244, 22.782308, 26.814382, 203.527218], [24.473495, 25.184485, 27.865637, 30.903223, 120.838307], [33.469719, 33.511444, 38.131879, 38.151113, 172.983677], [45.493918, 47.375087, 47.813573, 48.159789, 214.890568], [21.235975, 25.409194, 26.016981, 31.600344, 107.794159], [19.741937, 19.839675, 22.888287, 27.614477, 104.746821], [37.188856, 42.321753, 44.440729, 48.467129, 325.259247], [13.339747, 14.187909, 14.307369, 16.400019, 28.534544]]
### 4
mean: [2.212859, 2.116083, 2.473601, -1.428342, -0.860240, -1.268966, 0.538398, -2.123138]
std: [2.201939, 2.149897, 2.359097, 1.854763, 0.895899, 1.286397, 0.465558, 2.041337]
pca: [[0.439091, -0.240435, 0.247328, 0.035670, 0.584267, -0.159763, 0.510444, -0.243929, 0.000000, 0.000000], [0.424783, 0.693377, -0.203280, -0.355132, -0.177997, 0.157088, 0.339080, 0.003477, 0.000000, 0.000000], [0.470356, -0.103553, 0.662667, -0.001438, -0.309349, 0.079979, -0.185662, 0.438575, 0.000000, 0.000000], [-0.369798, 0.149879, 0.393084, 0.357143, -0.441632, -0.041519, 0.556243, -0.229238, 0.000000, 0.000000], [-0.178653, -0.040027, -0.223996, 0.157760, 0.172461, -0.013632, 0.424985, 0.825153, 0.000000, 0.000000], [-0.256612, -0.080903, 0.217766, -0.238197, 0.231770, 0.872513, 0.085775, -0.033032, 0.000000, 0.000000], [0.079426, 0.524698, 0.094869, 0.681801, 0.370546, 0.164219, -0.283151, 0.009149, 0.000000, 0.000000], [-0.405830, 0.380496, 0.444148, -0.445620, 0.339777, -0.391466, -0.111582, 0.116344, 0.000000, 0.000000]]
fourier: [[35.334855, 35.888633, 39.324166, 44.022528, 199.157347], [36.529402, 38.603200, 38.661245, 41.930259, 190.447499], [38.315321, 39.477794, 42.699067, 46.530689, 222.624108], [29.954801, 30.236780, 33.186237, 38.016445, 128.550732], [14.865724, 15.285006, 16.280324, 17.715259, 77.421568], [21.099194, 22.072028, 22.927760, 25.627852, 114.206949], [7.049676, 7.294867, 7.949986, 9.364420, 48.455849], [32.137236, 32.314139, 36.436160, 41.444121, 191.082453]]
### 6
mean: [-4.998709, 2.710917, -1.625108, -1.478640, -4.685761, 2.897022, 3.148067, -3.324584]
std: [5.040830, 2.725067, 1.814488, 1.604629, 4.270305, 2.787407, 3.095176, 3.245039]
pca: [[0.548032, 0.074568, 0.254208, -0.413270, -0.079146, 0.195881, -0.432864, -0.476112, 0.000000, 0.000000], [-0.295401, 0.507145, -0.229483, -0.338047, -0.157184, -0.569502, 0.074929, -0.365992, 0.000000, 0.000000], [0.197067, 0.187579, 0.145777, -0.165402, -0.567739, 0.299314, 0.677646, 0.079048, 0.000000, 0.000000], [0.172681, 0.535901, -0.203022, 0.643492, -0.324997, 0.123135, -0.326509, 0.017275, 0.000000, 0.000000], [0.464212, 0.145506, -0.268896, 0.212436, 0.577520, -0.031042, 0.467526, -0.304676, 0.000000, 0.000000], [-0.302488, 0.368812, -0.334064, -0.352296, 0.296200, 0.651735, -0.083315, 0.131657, 0.000000, 0.000000], [-0.335521, 0.332728, 0.764999, 0.226928, 0.269075, 0.104893, 0.100546, -0.215603, 0.000000, 0.000000], [0.352390, 0.383362, 0.226095, -0.229684, 0.217745, -0.309552, -0.074636, 0.690054, 0.000000, 0.000000]]
fourier: [[79.626483, 84.060737, 91.849351, 99.798540, 449.883823], [45.857363, 46.749400, 50.652020, 54.460516, 243.982565], [27.710134, 30.186518, 32.563849, 35.443505, 146.259676], [24.589350, 26.321627, 27.336829, 29.321916, 133.077618], [66.964061, 71.052138, 77.376552, 83.785546, 421.718488], [46.240278, 47.787723, 51.238799, 55.296489, 260.731965], [50.258950, 50.606948, 57.049305, 62.518145, 283.326076], [49.503473, 53.871244, 58.273002, 63.205486, 299.212535]]
### 8
mean: [4.734335, -5.923046, 1.152814, -4.350779, -4.872727, 1.681171, -4.751290, -6.267379]
std: [4.467980, 5.428000, 1.442832, 3.974384, 3.922121, 1.766249, 5.060818, 5.648682]
pca: [[-0.372831, 0.598265, 0.026361, 0.021033, 0.453704, -0.303943, -0.412899, -0.182275, 0.000000, 0.000000], [0.453581, 0.264102, 0.629493, 0.279987, 0.173508, 0.452812, -0.120660, 0.012563, 0.000000, 0.000000], [-0.120527, -0.079524, -0.296029, 0.128065, 0.505964, 0.286061, 0.003039, 0.732991, 0.000000, 0.000000], [0.331949, 0.348856, -0.327664, 0.658330, -0.193168, -0.358624, 0.218225, 0.117471, 0.000000, 0.000000], [0.327671, 0.242096, -0.624564, -0.216018, 0.083363, 0.486022, -0.093864, -0.381184, 0.000000, 0.000000], [-0.146114, 0.574306, 0.123198, -0.400519, -0.137235, 0.103016, 0.632232, 0.209920, 0.000000, 0.000000], [0.422972, -0.193303, 0.052603, -0.208199, 0.632882, -0.388414, 0.391863, -0.180704, 0.000000, 0.000000], [0.472146, 0.136018, -0.004672, -0.470042, -0.210740, -0.307316, -0.453034, 0.439911, 0.000000, 0.000000]]
fourier: [[74.214691, 74.284604, 83.569069, 89.971609, 426.090147], [83.934932, 89.978801, 99.170113, 107.061777, 533.074030], [22.219023, 23.981923, 26.220265, 28.307182, 103.753243], [60.405220, 64.645096, 72.345483, 78.673546, 391.570109], [60.296522, 63.780531, 71.491454, 77.618274, 438.545472], [29.507612, 31.283764, 33.805803, 36.274730, 151.305354], [80.782082, 84.153299, 93.704439, 100.821651, 427.616113], [88.043958, 93.258222, 103.442727, 111.808946, 564.064094]]
### 10
mean: [-2.231158]
std: [2.404995]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.449357, 39.956159, 44.908112, 48.221118, 200.804221]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6950726509094238, "train_acc": 0.485, "val_loss": 0.7284289598464966, "val_acc": 0.36}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.607324868440628, "train_acc": 0.615, "val_loss": 0.8012520670890808, "val_acc": 0.36}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.551783561706543, "train_acc": 0.615, "val_loss": 0.534563422203064, "val_acc": 0.72}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.36587168276309967, "train_acc": 0.83, "val_loss": 0.7489549517631531, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5740672647953033, "train_acc": 0.9, "val_loss": 0.2673153281211853, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.28813546895980835, "train_acc": 0.91, "val_loss": 0.44934195280075073, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3430848568677902, "train_acc": 0.885, "val_loss": 0.377502977848053, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.2950337529182434, "train_acc": 0.92, "val_loss": 0.31461653113365173, "val_acc": 0.94}], "summary": {"total_epochs": 8, "degraded_epochs": 3, "improved_epochs": 5, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7284289598464966, "final_val_loss": 0.534563422203064, "initial_val_acc": 0.36, "final_val_acc": 0.72, "best_val_acc": 0.72}, "improved_stage": {"initial_val_loss": 0.7489549517631531, "final_val_loss": 0.31461653113365173, "initial_val_acc": 0.9, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 7}, "improvement": 0.21999999999999997, "first_improvement_epoch": 2}}
|
158
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.6, "improved_accuracy": 0.94, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3199, "learning_rate": 0.02415440030258776, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
mean: [1.156326, 3.001379, 0.077586, -0.646725, 1.186177]
std: [1.875852, 1.836372, 1.789508, 1.552095, 1.391137]
pca: [[0.639058, 0.203704, 0.086768, 0.731238, 0.088726, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.179689, 0.797575, 0.277761, -0.037066, -0.503052, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.607582, 0.309992, -0.134830, 0.387159, 0.605539, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.258035, -0.364618, 0.864919, 0.227498, -0.025118, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.351537, 0.305512, 0.386077, -0.512123, 0.609720, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.020128, 31.099806, 32.322393, 34.101995, 104.069308], [24.915847, 30.264800, 33.181254, 33.441830, 270.124129], [25.573343, 26.314986, 26.472447, 28.671118, 29.146952], [22.929020, 23.455802, 25.002182, 27.338974, 58.205224], [23.730482, 24.356134, 27.448136, 27.775709, 106.755971]]
### 2
mean: [1.824101, 1.635189, -0.249312, -0.938724, 1.618515]
std: [1.860088, 1.468375, 0.254760, 1.056563, 2.076562]
pca: [[0.583588, -0.096231, -0.320275, 0.735246, -0.083675, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.456273, 0.046805, -0.508173, -0.620865, -0.381982, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.042845, -0.024937, -0.456860, -0.136404, 0.877619, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.165053, 0.975126, 0.108829, 0.053658, 0.084642, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.649740, -0.192502, 0.647007, -0.229028, 0.264025, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.658517, 26.734331, 27.185325, 35.918677, 164.169099], [20.470508, 21.699371, 23.962352, 30.757627, 147.166988], [3.693007, 3.882159, 5.031801, 5.827134, 22.438059], [18.519978, 19.261172, 20.055581, 22.119556, 84.485169], [29.873784, 31.655760, 32.828819, 37.553341, 145.666335]]
### 4
mean: [-2.971843, 4.455147, -3.348212, -2.134074, -2.286502]
std: [3.687601, 3.677544, 3.466068, 1.814387, 2.311254]
pca: [[0.533917, -0.139109, 0.208055, 0.715800, -0.374065, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.532340, 0.073581, 0.819334, 0.195237, 0.042121, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.501804, 0.102227, 0.485807, -0.646679, -0.289033, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.261560, -0.673931, 0.206728, -0.042334, 0.657932, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.333656, 0.714563, 0.081606, 0.171834, 0.584711, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.778034, 54.896200, 55.608123, 71.969613, 267.465798], [51.507662, 54.302241, 54.534323, 72.249174, 400.963235], [49.045794, 51.672796, 52.353907, 67.997864, 301.339093], [26.947554, 27.814562, 27.867836, 34.107491, 192.066697], [33.215944, 34.032527, 34.358949, 46.592660, 205.785173]]
### 6
mean: [-0.263350, -0.463049, 3.644780, 2.321607, 0.219833]
std: [0.177437, 1.124960, 3.218872, 2.098783, 0.746048]
pca: [[-0.039221, -0.161991, -0.028412, 0.984996, 0.034575, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.272056, 0.471398, 0.802756, 0.081792, 0.229483, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.794484, 0.296813, 0.219126, 0.103308, -0.471178, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.518538, 0.025355, -0.081602, -0.007399, 0.850742, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.156078, 0.814127, -0.547814, 0.111196, 0.019289, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.395163, 2.492797, 2.707939, 3.377839, 23.701539], [16.366831, 16.695635, 16.849314, 20.567233, 41.674444], [45.665626, 45.969066, 46.826035, 62.749536, 328.030197], [29.895511, 29.997642, 30.437263, 40.710945, 208.944662], [11.502597, 12.495276, 13.155444, 14.045649, 19.784952]]
### 8
mean: [-3.133763]
std: [3.529718]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.653807, 51.341180, 51.662887, 67.536731, 282.038721]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.127529,
0.457403
],
"network.8.weight": [
[
-0.135673,
0.428439,
-0.563773,
-0.642227,
0.815967
]
],
"network.8.bias": [
0.218367
]
}
## Activation Signature
### 0
mean: [1.156326, 3.001379, 0.077586, -0.646725, 1.186177]
std: [1.875852, 1.836372, 1.789508, 1.552095, 1.391137]
pca: [[0.639058, 0.203704, 0.086768, 0.731238, 0.088726, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.179689, 0.797575, 0.277761, -0.037066, -0.503052, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.607582, 0.309992, -0.134830, 0.387159, 0.605539, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.258035, -0.364618, 0.864919, 0.227498, -0.025118, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.351537, 0.305512, 0.386077, -0.512123, 0.609720, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.020128, 31.099806, 32.322393, 34.101995, 104.069308], [24.915847, 30.264800, 33.181254, 33.441830, 270.124129], [25.573343, 26.314986, 26.472447, 28.671118, 29.146952], [22.929020, 23.455802, 25.002182, 27.338974, 58.205224], [23.730482, 24.356134, 27.448136, 27.775709, 106.755971]]
### 2
mean: [1.824101, 1.635189, -0.249312, -0.938724, 1.618515]
std: [1.860088, 1.468375, 0.254760, 1.056563, 2.076562]
pca: [[0.583588, -0.096231, -0.320275, 0.735246, -0.083675, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.456273, 0.046805, -0.508173, -0.620865, -0.381982, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.042845, -0.024937, -0.456860, -0.136404, 0.877619, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.165053, 0.975126, 0.108829, 0.053658, 0.084642, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.649740, -0.192502, 0.647007, -0.229028, 0.264025, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.658517, 26.734331, 27.185325, 35.918677, 164.169099], [20.470508, 21.699371, 23.962352, 30.757627, 147.166988], [3.693007, 3.882159, 5.031801, 5.827134, 22.438059], [18.519978, 19.261172, 20.055581, 22.119556, 84.485169], [29.873784, 31.655760, 32.828819, 37.553341, 145.666335]]
### 4
mean: [-2.971843, 4.455147, -3.348212, -2.134074, -2.286502]
std: [3.687601, 3.677544, 3.466068, 1.814387, 2.311254]
pca: [[0.533917, -0.139109, 0.208055, 0.715800, -0.374065, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.532340, 0.073581, 0.819334, 0.195237, 0.042121, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.501804, 0.102227, 0.485807, -0.646679, -0.289033, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.261560, -0.673931, 0.206728, -0.042334, 0.657932, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.333656, 0.714563, 0.081606, 0.171834, 0.584711, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.778034, 54.896200, 55.608123, 71.969613, 267.465798], [51.507662, 54.302241, 54.534323, 72.249174, 400.963235], [49.045794, 51.672796, 52.353907, 67.997864, 301.339093], [26.947554, 27.814562, 27.867836, 34.107491, 192.066697], [33.215944, 34.032527, 34.358949, 46.592660, 205.785173]]
### 6
mean: [-0.263350, -0.463049, 3.644780, 2.321607, 0.219833]
std: [0.177437, 1.124960, 3.218872, 2.098783, 0.746048]
pca: [[-0.039221, -0.161991, -0.028412, 0.984996, 0.034575, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.272056, 0.471398, 0.802756, 0.081792, 0.229483, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.794484, 0.296813, 0.219126, 0.103308, -0.471178, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.518538, 0.025355, -0.081602, -0.007399, 0.850742, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.156078, 0.814127, -0.547814, 0.111196, 0.019289, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.395163, 2.492797, 2.707939, 3.377839, 23.701539], [16.366831, 16.695635, 16.849314, 20.567233, 41.674444], [45.665626, 45.969066, 46.826035, 62.749536, 328.030197], [29.895511, 29.997642, 30.437263, 40.710945, 208.944662], [11.502597, 12.495276, 13.155444, 14.045649, 19.784952]]
### 8
mean: [-3.133763]
std: [3.529718]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.653807, 51.341180, 51.662887, 67.536731, 282.038721]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
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51.34117960408471, 51.66288666888679, 67.53673064148862, 282.03872096538544]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.811657, 0.278111, -0.029542, 0.004619, 0.040386], [-0.188415, -0.147407, 0.620391, 0.664293, 0.152816], [-0.256333, -0.537598, -0.047775, 0.755169, -0.09776], [-0.152239, -0.271457, -0.362633, -0.197607, 0.671493], [0.297359, -0.171052, 0.579229, -0.084057, -0.010308]], "network.0.bias": [-0.358521, 0.595518, -0.02285, 0.390466, 0.110847], "network.2.weight": [[-0.594295, 0.495056, 0.319656, 0.754486, -0.004441], [-0.315038, 0.238317, 0.516182, 0.867772, -0.087072], [-0.055858, -0.045506, 0.077399, 0.320046, 0.10067], [-0.218651, -0.022135, 0.030434, -0.071794, -0.572257], [-0.501283, 0.47019, 0.807889, 0.439871, -0.00113]], "network.2.bias": [0.636174, 0.820188, -0.307368, 0.061241, 0.150355], "network.4.weight": [[-0.529542, -0.85356, -0.486053, 0.622213, -0.882632], [0.808376, 0.850825, 0.102836, -0.529806, 0.650676], [-0.3543, -0.97153, -0.488202, 0.51082, -0.825272], [-0.417718, -0.065059, -0.143335, -0.145508, -0.57106], [-0.10338, -1.005662, -0.441221, 0.825299, -0.381083]], "network.4.bias": [0.974237, 0.353904, 0.342073, -0.24651, 0.224235], "network.6.weight": [[-0.077092, -0.04881, -0.075876, -0.205057, 0.014906], [0.442295, -0.239111, 0.969473, -0.077499, 0.658893], [-0.828953, 0.809029, -0.497685, -0.006002, -0.313566], [-0.600976, 0.517136, -0.459004, 0.024903, -0.464429], [0.803318, -0.088279, 0.924833, -0.204499, 0.320865]], "network.6.bias": [-0.047082, 0.506137, 0.191684, 0.127529, 0.457403], "network.8.weight": [[-0.135673, 0.428439, -0.563773, -0.642227, 0.815967]], "network.8.bias": [0.218367]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.690431535243988, "train_acc": 0.55, "val_loss": 0.6805869936943054, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6813299059867859, "train_acc": 0.565, "val_loss": 0.666759192943573, "val_acc": 0.6}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6661547422409058, "train_acc": 0.565, "val_loss": 0.6409974098205566, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.653402179479599, "train_acc": 0.475, "val_loss": 0.5947779417037964, "val_acc": 0.62}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5941236913204193, "train_acc": 0.66, "val_loss": 0.5257904529571533, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5152701139450073, "train_acc": 0.86, "val_loss": 0.44923168420791626, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4389452040195465, "train_acc": 0.885, "val_loss": 0.38029471039772034, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.37402190268039703, "train_acc": 0.905, "val_loss": 0.3142099976539612, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.29022786021232605, "train_acc": 0.92, "val_loss": 0.2459418922662735, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.24289928376674652, "train_acc": 0.925, "val_loss": 0.19154426455497742, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2077270671725273, "train_acc": 0.935, "val_loss": 0.16995565593242645, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.19942308217287064, "train_acc": 0.935, "val_loss": 0.12784773111343384, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.16296561434864998, "train_acc": 0.94, "val_loss": 0.11546718329191208, "val_acc": 0.94}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6805869936943054, "final_val_loss": 0.6409974098205566, "initial_val_acc": 0.6, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.5947779417037964, "final_val_loss": 0.11546718329191208, "initial_val_acc": 0.62, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 11}, "improvement": 0.33999999999999997, "first_improvement_epoch": 2}}
|
159
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.5, "improved_accuracy": 0.84, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7251, "learning_rate": 0.023154592963405562, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
mean: [-2.262330, 0.319633, -1.933502, 1.037156, -0.780097, 2.365534]
std: [1.653803, 1.174076, 1.227317, 1.443764, 1.595162, 1.622483]
pca: [[-0.497162, -0.436817, -0.266186, -0.207345, 0.620072, -0.252360, 0.000000, 0.000000, 0.000000, 0.000000], [-0.199500, -0.172242, 0.839557, 0.332902, 0.272458, 0.201542, 0.000000, 0.000000, 0.000000, 0.000000], [-0.361174, 0.221314, -0.397784, 0.378965, 0.111851, 0.711489, 0.000000, 0.000000, 0.000000, 0.000000], [0.455665, 0.209696, -0.171071, 0.596732, 0.506099, -0.326965, 0.000000, 0.000000, 0.000000, 0.000000], [-0.284963, 0.826540, 0.187155, -0.327585, 0.258160, -0.163223, 0.000000, 0.000000, 0.000000, 0.000000], [0.541986, -0.058332, 0.042009, -0.489048, 0.453855, 0.505896, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.067245, 25.129916, 31.682258, 34.011470, 203.609694], [18.242242, 19.823256, 20.067901, 23.455804, 28.766987], [18.949515, 19.626868, 21.586182, 23.585927, 174.015215], [24.583633, 24.673038, 25.111943, 26.195489, 93.344088], [28.035601, 28.613301, 31.956927, 32.032807, 70.208690], [26.393218, 29.596977, 29.997315, 30.431970, 212.898080]]
### 2
mean: [0.991009, -1.140983, 0.212762, 0.695791, -0.868230, 0.596836]
std: [0.924339, 0.600120, 0.588207, 0.562162, 0.379411, 0.811215]
pca: [[0.595289, 0.107261, 0.354696, -0.506168, 0.430211, 0.258899, 0.000000, 0.000000, 0.000000, 0.000000], [-0.334487, 0.635244, -0.227005, 0.179626, 0.616602, 0.143488, 0.000000, 0.000000, 0.000000, 0.000000], [-0.327703, -0.575239, 0.470947, 0.309329, 0.451224, 0.201572, 0.000000, 0.000000, 0.000000, 0.000000], [0.356713, -0.112560, -0.364938, 0.416227, -0.117134, 0.734807, 0.000000, 0.000000, 0.000000, 0.000000], [-0.164345, 0.468457, 0.653666, 0.147022, -0.448737, 0.321369, 0.000000, 0.000000, 0.000000, 0.000000], [0.521639, 0.148114, 0.201019, 0.648832, 0.126617, -0.478050, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.745461, 15.344056, 15.719450, 16.787675, 89.190818], [9.837860, 11.051585, 11.300340, 12.931927, 102.688481], [9.842889, 9.923909, 9.928258, 12.047370, 19.148585], [8.505896, 9.871884, 10.484213, 10.559596, 62.621231], [5.943404, 7.205575, 7.688801, 8.102140, 78.140685], [13.236577, 13.296300, 13.793881, 15.041330, 53.715261]]
### 4
mean: [-0.263298, 1.315198, -0.148685, -0.194005, -0.026577, 0.833981]
std: [0.061258, 1.047261, 0.489747, 0.073570, 0.173402, 0.331878]
pca: [[0.030892, -0.115175, -0.282605, 0.873471, 0.359429, -0.117365, 0.000000, 0.000000, 0.000000, 0.000000], [0.880805, -0.004019, 0.297246, 0.194715, -0.312668, 0.011633, 0.000000, 0.000000, 0.000000, 0.000000], [-0.399176, 0.449330, 0.462119, 0.379440, -0.464197, -0.256427, 0.000000, 0.000000, 0.000000, 0.000000], [-0.037630, -0.096874, 0.763581, -0.003556, 0.623795, 0.130426, 0.000000, 0.000000, 0.000000, 0.000000], [-0.145569, -0.027390, 0.012863, 0.223539, -0.223423, 0.937020, 0.000000, 0.000000, 0.000000, 0.000000], [0.203175, 0.880163, -0.187095, -0.071954, 0.344286, 0.159117, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.046577, 1.057084, 1.094309, 1.103319, 23.696840], [17.104342, 17.422796, 17.608412, 19.135826, 118.367796], [7.842557, 7.944730, 8.971433, 9.069321, 13.381691], [1.238378, 1.372484, 1.413359, 1.717654, 17.460421], [2.681867, 2.783044, 2.874448, 2.972080, 3.153568], [5.388502, 5.434236, 6.277411, 7.588890, 75.058249]]
### 6
mean: [-0.612602, 0.050429, 0.329387, -0.328416, 0.990539, -0.435271]
std: [0.184954, 0.113829, 0.380186, 0.299186, 0.676955, 0.068752]
pca: [[-0.138934, -0.575614, 0.603554, 0.148364, -0.432760, -0.275310, 0.000000, 0.000000, 0.000000, 0.000000], [-0.110345, 0.269767, -0.265249, 0.840912, -0.365700, -0.061827, 0.000000, 0.000000, 0.000000, 0.000000], [-0.410582, 0.688100, 0.334647, -0.269408, -0.166194, -0.381774, 0.000000, 0.000000, 0.000000, 0.000000], [-0.362166, 0.033604, 0.452775, 0.390187, 0.654403, 0.286726, 0.000000, 0.000000, 0.000000, 0.000000], [0.814884, 0.312941, 0.454170, 0.165276, 0.044055, -0.050040, 0.000000, 0.000000, 0.000000, 0.000000], [-0.068868, 0.152814, 0.205185, -0.136793, -0.470295, 0.830611, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.698135, 3.161745, 3.487365, 4.441317, 55.134165], [1.639043, 1.900584, 1.946056, 2.387621, 4.538612], [5.931937, 5.964128, 6.627617, 7.754918, 29.644859], [4.748354, 4.895545, 5.383086, 5.463307, 29.557425], [10.887752, 11.049433, 11.326422, 12.461077, 89.148487], [1.073096, 1.082944, 1.165295, 1.419402, 39.174359]]
### 8
mean: [0.371037, -0.162050, -0.474977, 0.580581, 0.902223, 0.368576]
std: [0.176405, 0.070863, 0.177305, 0.424999, 0.576493, 0.135492]
pca: [[-0.224118, 0.306794, 0.034348, -0.549317, 0.557506, 0.491839, 0.000000, 0.000000, 0.000000, 0.000000], [-0.023921, 0.444726, -0.080871, 0.529581, -0.301747, 0.650845, 0.000000, 0.000000, 0.000000, 0.000000], [-0.233648, -0.039525, 0.165486, 0.641204, 0.692190, -0.161838, 0.000000, 0.000000, 0.000000, 0.000000], [0.560311, 0.001997, 0.814591, -0.009196, 0.036931, 0.145052, 0.000000, 0.000000, 0.000000, 0.000000], [0.760147, 0.031994, -0.545982, 0.062212, 0.342124, 0.046232, 0.000000, 0.000000, 0.000000, 0.000000], [0.053245, 0.839944, 0.056920, -0.051931, -0.024413, -0.533972, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.663777, 2.778577, 3.217865, 3.494642, 33.393295], [1.140346, 1.173691, 1.220028, 1.309057, 14.584464], [2.717505, 2.853810, 3.108688, 3.276514, 42.747916], [6.641794, 6.858133, 7.559299, 7.857470, 52.252319], [8.895824, 9.326830, 10.262497, 10.703872, 81.200082], [2.188784, 2.215112, 2.334872, 3.121713, 33.171836]]
### 10
mean: [1.053010, 0.255057, -0.289254, -0.540104, 0.083800, 0.182499]
std: [0.370975, 0.278690, 0.166675, 0.203033, 0.329560, 0.242160]
pca: [[0.557856, 0.236664, -0.410959, 0.360855, 0.408383, 0.408543, 0.000000, 0.000000, 0.000000, 0.000000], [0.411390, 0.528499, -0.055995, 0.122001, -0.534999, -0.497195, 0.000000, 0.000000, 0.000000, 0.000000], [0.250900, -0.074857, 0.835387, 0.459446, 0.149295, -0.013961, 0.000000, 0.000000, 0.000000, 0.000000], [-0.300915, -0.346239, -0.303073, 0.765633, -0.331777, -0.038017, 0.000000, 0.000000, 0.000000, 0.000000], [-0.490342, 0.494403, -0.039529, 0.231009, 0.544365, -0.404808, 0.000000, 0.000000, 0.000000, 0.000000], [-0.354426, 0.542917, 0.191547, 0.065194, -0.343950, 0.648368, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.571024, 5.998527, 6.571406, 6.875594, 94.770876], [4.528962, 4.578808, 4.649164, 5.112861, 22.955168], [2.590320, 2.622996, 3.086340, 3.113240, 26.032861], [3.280990, 3.343983, 3.380821, 3.726446, 48.609339], [5.058153, 5.083901, 6.070143, 6.402329, 7.541963], [3.705014, 3.723775, 4.421474, 4.808320, 16.424939]]
### 12
mean: [-0.229262]
std: [0.363401]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.454448, 5.488576, 6.647598, 7.057370, 20.633594]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
mean: [-2.262330, 0.319633, -1.933502, 1.037156, -0.780097, 2.365534]
std: [1.653803, 1.174076, 1.227317, 1.443764, 1.595162, 1.622483]
pca: [[-0.497162, -0.436817, -0.266186, -0.207345, 0.620072, -0.252360, 0.000000, 0.000000, 0.000000, 0.000000], [-0.199500, -0.172242, 0.839557, 0.332902, 0.272458, 0.201542, 0.000000, 0.000000, 0.000000, 0.000000], [-0.361174, 0.221314, -0.397784, 0.378965, 0.111851, 0.711489, 0.000000, 0.000000, 0.000000, 0.000000], [0.455665, 0.209696, -0.171071, 0.596732, 0.506099, -0.326965, 0.000000, 0.000000, 0.000000, 0.000000], [-0.284963, 0.826540, 0.187155, -0.327585, 0.258160, -0.163223, 0.000000, 0.000000, 0.000000, 0.000000], [0.541986, -0.058332, 0.042009, -0.489048, 0.453855, 0.505896, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.067245, 25.129916, 31.682258, 34.011470, 203.609694], [18.242242, 19.823256, 20.067901, 23.455804, 28.766987], [18.949515, 19.626868, 21.586182, 23.585927, 174.015215], [24.583633, 24.673038, 25.111943, 26.195489, 93.344088], [28.035601, 28.613301, 31.956927, 32.032807, 70.208690], [26.393218, 29.596977, 29.997315, 30.431970, 212.898080]]
### 2
mean: [0.991009, -1.140983, 0.212762, 0.695791, -0.868230, 0.596836]
std: [0.924339, 0.600120, 0.588207, 0.562162, 0.379411, 0.811215]
pca: [[0.595289, 0.107261, 0.354696, -0.506168, 0.430211, 0.258899, 0.000000, 0.000000, 0.000000, 0.000000], [-0.334487, 0.635244, -0.227005, 0.179626, 0.616602, 0.143488, 0.000000, 0.000000, 0.000000, 0.000000], [-0.327703, -0.575239, 0.470947, 0.309329, 0.451224, 0.201572, 0.000000, 0.000000, 0.000000, 0.000000], [0.356713, -0.112560, -0.364938, 0.416227, -0.117134, 0.734807, 0.000000, 0.000000, 0.000000, 0.000000], [-0.164345, 0.468457, 0.653666, 0.147022, -0.448737, 0.321369, 0.000000, 0.000000, 0.000000, 0.000000], [0.521639, 0.148114, 0.201019, 0.648832, 0.126617, -0.478050, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.745461, 15.344056, 15.719450, 16.787675, 89.190818], [9.837860, 11.051585, 11.300340, 12.931927, 102.688481], [9.842889, 9.923909, 9.928258, 12.047370, 19.148585], [8.505896, 9.871884, 10.484213, 10.559596, 62.621231], [5.943404, 7.205575, 7.688801, 8.102140, 78.140685], [13.236577, 13.296300, 13.793881, 15.041330, 53.715261]]
### 4
mean: [-0.263298, 1.315198, -0.148685, -0.194005, -0.026577, 0.833981]
std: [0.061258, 1.047261, 0.489747, 0.073570, 0.173402, 0.331878]
pca: [[0.030892, -0.115175, -0.282605, 0.873471, 0.359429, -0.117365, 0.000000, 0.000000, 0.000000, 0.000000], [0.880805, -0.004019, 0.297246, 0.194715, -0.312668, 0.011633, 0.000000, 0.000000, 0.000000, 0.000000], [-0.399176, 0.449330, 0.462119, 0.379440, -0.464197, -0.256427, 0.000000, 0.000000, 0.000000, 0.000000], [-0.037630, -0.096874, 0.763581, -0.003556, 0.623795, 0.130426, 0.000000, 0.000000, 0.000000, 0.000000], [-0.145569, -0.027390, 0.012863, 0.223539, -0.223423, 0.937020, 0.000000, 0.000000, 0.000000, 0.000000], [0.203175, 0.880163, -0.187095, -0.071954, 0.344286, 0.159117, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.046577, 1.057084, 1.094309, 1.103319, 23.696840], [17.104342, 17.422796, 17.608412, 19.135826, 118.367796], [7.842557, 7.944730, 8.971433, 9.069321, 13.381691], [1.238378, 1.372484, 1.413359, 1.717654, 17.460421], [2.681867, 2.783044, 2.874448, 2.972080, 3.153568], [5.388502, 5.434236, 6.277411, 7.588890, 75.058249]]
### 6
mean: [-0.612602, 0.050429, 0.329387, -0.328416, 0.990539, -0.435271]
std: [0.184954, 0.113829, 0.380186, 0.299186, 0.676955, 0.068752]
pca: [[-0.138934, -0.575614, 0.603554, 0.148364, -0.432760, -0.275310, 0.000000, 0.000000, 0.000000, 0.000000], [-0.110345, 0.269767, -0.265249, 0.840912, -0.365700, -0.061827, 0.000000, 0.000000, 0.000000, 0.000000], [-0.410582, 0.688100, 0.334647, -0.269408, -0.166194, -0.381774, 0.000000, 0.000000, 0.000000, 0.000000], [-0.362166, 0.033604, 0.452775, 0.390187, 0.654403, 0.286726, 0.000000, 0.000000, 0.000000, 0.000000], [0.814884, 0.312941, 0.454170, 0.165276, 0.044055, -0.050040, 0.000000, 0.000000, 0.000000, 0.000000], [-0.068868, 0.152814, 0.205185, -0.136793, -0.470295, 0.830611, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.698135, 3.161745, 3.487365, 4.441317, 55.134165], [1.639043, 1.900584, 1.946056, 2.387621, 4.538612], [5.931937, 5.964128, 6.627617, 7.754918, 29.644859], [4.748354, 4.895545, 5.383086, 5.463307, 29.557425], [10.887752, 11.049433, 11.326422, 12.461077, 89.148487], [1.073096, 1.082944, 1.165295, 1.419402, 39.174359]]
### 8
mean: [0.371037, -0.162050, -0.474977, 0.580581, 0.902223, 0.368576]
std: [0.176405, 0.070863, 0.177305, 0.424999, 0.576493, 0.135492]
pca: [[-0.224118, 0.306794, 0.034348, -0.549317, 0.557506, 0.491839, 0.000000, 0.000000, 0.000000, 0.000000], [-0.023921, 0.444726, -0.080871, 0.529581, -0.301747, 0.650845, 0.000000, 0.000000, 0.000000, 0.000000], [-0.233648, -0.039525, 0.165486, 0.641204, 0.692190, -0.161838, 0.000000, 0.000000, 0.000000, 0.000000], [0.560311, 0.001997, 0.814591, -0.009196, 0.036931, 0.145052, 0.000000, 0.000000, 0.000000, 0.000000], [0.760147, 0.031994, -0.545982, 0.062212, 0.342124, 0.046232, 0.000000, 0.000000, 0.000000, 0.000000], [0.053245, 0.839944, 0.056920, -0.051931, -0.024413, -0.533972, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.663777, 2.778577, 3.217865, 3.494642, 33.393295], [1.140346, 1.173691, 1.220028, 1.309057, 14.584464], [2.717505, 2.853810, 3.108688, 3.276514, 42.747916], [6.641794, 6.858133, 7.559299, 7.857470, 52.252319], [8.895824, 9.326830, 10.262497, 10.703872, 81.200082], [2.188784, 2.215112, 2.334872, 3.121713, 33.171836]]
### 10
mean: [1.053010, 0.255057, -0.289254, -0.540104, 0.083800, 0.182499]
std: [0.370975, 0.278690, 0.166675, 0.203033, 0.329560, 0.242160]
pca: [[0.557856, 0.236664, -0.410959, 0.360855, 0.408383, 0.408543, 0.000000, 0.000000, 0.000000, 0.000000], [0.411390, 0.528499, -0.055995, 0.122001, -0.534999, -0.497195, 0.000000, 0.000000, 0.000000, 0.000000], [0.250900, -0.074857, 0.835387, 0.459446, 0.149295, -0.013961, 0.000000, 0.000000, 0.000000, 0.000000], [-0.300915, -0.346239, -0.303073, 0.765633, -0.331777, -0.038017, 0.000000, 0.000000, 0.000000, 0.000000], [-0.490342, 0.494403, -0.039529, 0.231009, 0.544365, -0.404808, 0.000000, 0.000000, 0.000000, 0.000000], [-0.354426, 0.542917, 0.191547, 0.065194, -0.343950, 0.648368, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.571024, 5.998527, 6.571406, 6.875594, 94.770876], [4.528962, 4.578808, 4.649164, 5.112861, 22.955168], [2.590320, 2.622996, 3.086340, 3.113240, 26.032861], [3.280990, 3.343983, 3.380821, 3.726446, 48.609339], [5.058153, 5.083901, 6.070143, 6.402329, 7.541963], [3.705014, 3.723775, 4.421474, 4.808320, 16.424939]]
### 12
mean: [-0.229262]
std: [0.363401]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.454448, 5.488576, 6.647598, 7.057370, 20.633594]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
starts_with
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.408908, -0.263068, 0.075652, -0.499068, -0.180788], [-0.507081, -0.036654, 0.282529, -0.098979, 0.361245], [-0.21723, -0.150988, -0.409254, -0.155997, -0.035853], [0.61634, -0.089594, -0.084401, 0.453222, 0.031974], [-0.527347, 0.292945, -0.467251, 0.174819, 0.019323], [0.531748, 0.132332, 0.29545, 0.359196, -0.156774]], "network.0.bias": [-0.138931, 0.194005, -0.154407, -0.401625, -0.080339, 0.268582], "network.2.weight": [[0.497209, -0.251483, -0.204481, 0.236034, -0.503834, 0.328907], [0.201693, -0.307754, -0.181989, -0.214704, 0.081852, -0.227346], [-0.463842, 0.512029, 0.081607, -0.219088, 0.214259, -0.03872], [0.124832, -0.095214, -0.196533, 0.208733, 0.040564, 0.178155], [-0.103417, -0.202573, 0.275811, -0.326601, -0.240568, 0.029135], [0.255032, -0.295183, 0.273006, 0.072279, -0.257329, 0.386997]], "network.2.bias": [0.202523, -0.178192, 0.201877, 0.073982, -0.365592, -0.163678], "network.4.weight": [[0.199753, 0.003833, -0.084701, 0.178622, -0.008508, -0.361408], [0.494246, -0.280018, -0.361673, 0.49372, -0.35429, 0.321244], [-0.001858, 0.242838, 0.512121, -0.447616, -0.191929, -0.111036], [0.047791, 0.2756, -0.077761, -0.332549, 0.043385, 0.09863], [-0.012574, -0.20435, 0.040024, -0.093918, -0.15072, -0.136202], [0.143084, -0.197476, 0.617323, 0.199954, 0.099804, 0.252231]], "network.4.bias": [-0.31896, 0.389589, 0.056556, -0.048111, 0.127587, 0.163912], "network.6.weight": [[-0.374472, -0.105515, -0.323679, 0.350015, -0.391056, -0.331712], [-0.040567, -0.093319, 0.126444, -0.258697, 0.441323, 0.213681], [0.38738, -0.370852, 0.587144, -0.019655, -0.177878, 0.551218], [0.067393, -0.305491, 0.110713, -0.336185, -0.144817, 0.117887], [0.143479, 0.522549, -0.365124, 0.00544, -0.201975, 0.306285], [0.030141, -0.075419, 0.111882, 0.295104, -0.140835, 0.137017]], "network.6.bias": [-0.131807, -0.04619, 0.29111, -0.03017, 0.10535, -0.456961], "network.8.weight": [[0.328409, 0.016954, 0.324813, 0.064723, -0.100195, -0.147967], [0.24804, 0.236893, 0.22488, 0.095337, 0.107024, 0.000566], [0.307143, 0.163091, 0.070467, -0.137382, -0.217126, -0.391983], [-0.065143, -0.191704, -0.235728, -0.37112, 0.497945, -0.262095], [0.312607, -0.111757, -0.416478, 0.30508, 0.664327, -0.286438], [0.108828, 0.192761, 0.451919, 0.143644, 0.296755, -0.345209]], "network.8.bias": [0.355027, -0.364013, -0.294732, 0.186317, 0.394899, -0.098003], "network.10.weight": [[0.284979, -0.264249, 0.249366, 0.371428, 0.473464, -0.135858], [0.033736, 0.098283, -0.163353, 0.279766, 0.272165, 0.251882], [-0.210682, 0.21972, -0.145345, -0.18866, 0.36878, -0.061432], [-0.072822, -0.303263, -0.223507, -0.081118, -0.306712, -0.132902], [0.462065, -0.142149, 0.145292, -0.183792, -0.324084, 0.420866], [0.290589, 0.053945, -0.254611, -0.167538, -0.231614, 0.472115]], "network.10.bias": [0.351002, -0.261169, -0.411534, -0.138442, 0.158727, 0.208644], "network.12.weight": [[-0.417981, -0.102823, 0.033825, -0.083684, 0.391432, 0.509768]], "network.12.bias": [0.060567]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6951102614402771, "train_acc": 0.425, "val_loss": 0.691853404045105, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.686558723449707, "train_acc": 0.585, "val_loss": 0.6925609111785889, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6812382638454437, "train_acc": 0.585, "val_loss": 0.6934443116188049, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6707274615764618, "train_acc": 0.585, "val_loss": 0.6813661456108093, "val_acc": 0.5}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6617510914802551, "train_acc": 0.585, "val_loss": 0.650454044342041, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.65951007604599, "train_acc": 0.555, "val_loss": 0.5968567132949829, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6341765224933624, "train_acc": 0.73, "val_loss": 0.5394873023033142, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5911883115768433, "train_acc": 0.725, "val_loss": 0.5086222887039185, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5523708760738373, "train_acc": 0.745, "val_loss": 0.44994208216667175, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5292896926403046, "train_acc": 0.745, "val_loss": 0.4109487235546112, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.5057293772697449, "train_acc": 0.75, "val_loss": 0.41959136724472046, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.5033420622348785, "train_acc": 0.74, "val_loss": 0.4334966242313385, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.478487491607666, "train_acc": 0.765, "val_loss": 0.435024619102478, "val_acc": 0.82}], "summary": {"total_epochs": 13, "degraded_epochs": 5, "improved_epochs": 8, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.691853404045105, "final_val_loss": 0.650454044342041, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5968567132949829, "final_val_loss": 0.435024619102478, "initial_val_acc": 0.78, "final_val_acc": 0.82, "best_val_acc": 0.84, "best_epoch": 6}, "improvement": 0.33999999999999997, "first_improvement_epoch": 4}}
|
160
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.46, "improved_accuracy": 0.78, "improvement": 0.32, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9386, "learning_rate": 0.0890168344617447, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "vowel_consonant", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["vowel_consonant"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
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[
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[
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[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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[
-0.385546,
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[
-0.053269,
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-0.068068,
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],
[
-0.215595,
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0.380043,
-0.709661
]
],
"network.4.bias": [
-0.009974,
-0.676179,
-0.231763,
0.845744,
0.93339
],
"network.6.weight": [
[
-0.159836,
0.016303,
0.195225,
0.575386,
0.506998
],
[
0.431821,
0.027123,
0.208104,
-0.139882,
0.210014
],
[
0.27731,
-0.144789,
0.078027,
0.677949,
0.842412
],
[
-0.331164,
0.184085,
0.296572,
0.09553,
-0.38516
],
[
0.430104,
-0.536868,
-0.42797,
0.712416,
1.295516
]
],
"network.6.bias": [
-0.00663,
-0.281406,
0.02511,
-0.306964,
-0.060763
],
"network.8.weight": [
[
-0.243513,
0.056556,
-0.447261,
0.247682,
-0.447945
]
],
"network.8.bias": [
0.361448
]
}
## Activation Signature
### 0
mean: [-2.420807, 0.724533, -2.015011, 1.368814, 1.764014]
std: [1.741876, 1.504261, 1.483688, 1.236108, 2.271826]
pca: [[-0.363219, 0.667005, 0.226545, -0.035547, -0.608762, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.354532, 0.472113, -0.237577, 0.751591, 0.173450, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.433528, 0.357136, 0.295351, -0.103230, 0.765910, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.105921, -0.283641, 0.853385, 0.416589, -0.080722, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.737030, 0.352443, 0.277012, -0.499645, 0.078676, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.423597, 28.534324, 33.544959, 36.850869, 217.872608], [20.833147, 21.817747, 24.985649, 29.671814, 65.207985], [23.732335, 24.139226, 24.186653, 29.579953, 181.350981], [20.326667, 21.241430, 21.597757, 22.859690, 123.193264], [31.781883, 32.271874, 34.906572, 42.338657, 158.761241]]
### 2
mean: [-1.404911, -2.058450, -1.480622, -0.522587, 0.373949]
std: [0.836307, 1.264068, 0.965756, 1.375186, 1.048754]
pca: [[0.386486, -0.079290, 0.212682, 0.559236, 0.697397, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.519588, 0.466781, -0.499518, 0.356349, -0.368294, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.022058, 0.762349, 0.629777, -0.147374, 0.000568, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.585589, -0.437561, 0.492668, -0.072277, -0.466561, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.487088, -0.056512, 0.256725, 0.730292, -0.400396, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.663924, 13.085486, 14.460771, 15.300718, 126.441948], [18.961791, 19.420208, 19.913176, 21.457436, 185.260498], [14.230684, 15.949170, 16.080143, 19.016304, 133.255970], [21.170321, 24.015354, 25.402983, 26.013164, 47.032859], [14.211466, 15.742059, 17.565506, 18.899485, 33.655383]]
### 4
mean: [-0.264435, -0.614544, -0.378259, 0.578190, 0.598310]
std: [0.297294, 0.049005, 0.142712, 0.455413, 0.672940]
pca: [[0.331588, 0.477827, 0.526623, -0.285310, -0.550451, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.028788, -0.243512, 0.824435, 0.127692, 0.493837, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.025676, 0.812136, -0.107953, 0.027133, 0.572176, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.528837, 0.055604, -0.034414, 0.840088, -0.101523, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.780316, -0.222993, -0.173598, -0.442502, 0.339760, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.358405, 4.686807, 4.968293, 5.525756, 23.799111], [0.819027, 0.823461, 0.833192, 1.072276, 55.308962], [2.294479, 2.315594, 2.433219, 2.448168, 34.043353], [6.927273, 7.272894, 7.334529, 7.708266, 52.037113], [10.819531, 10.911546, 10.948971, 11.055689, 53.847865]]
### 6
mean: [0.712212, -0.221577, 1.044569, -0.517977, 1.299314]
std: [0.421406, 0.049873, 0.607310, 0.143275, 0.823890]
pca: [[0.377153, 0.448120, -0.226557, 0.753683, 0.193852, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.043361, -0.514067, 0.378933, 0.207603, 0.739706, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.543678, 0.230256, 0.764336, -0.120131, -0.229686, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.127570, 0.644822, -0.000788, -0.471088, 0.588222, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.737574, -0.257118, -0.469970, -0.390523, 0.128433, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.152671, 6.873998, 6.920680, 7.548908, 64.099076], [0.765981, 0.790084, 0.887839, 0.907802, 19.941976], [8.819036, 9.907060, 10.043260, 10.910702, 94.011178], [2.063402, 2.322804, 2.469781, 2.608916, 46.617953], [11.895512, 13.437819, 13.716739, 14.841252, 116.938293]]
### 8
mean: [-0.864725]
std: [0.737410]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.694705, 12.003546, 12.251270, 13.295283, 77.825264]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
vowel_consonant
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.375251,
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-0.353526,
-0.207879,
-0.419095
],
[
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0.221969,
0.347799,
-0.267797
],
[
-0.100191,
-0.324073,
-0.33061,
-0.258505,
-0.288641
],
[
0.203014,
-0.53985,
0.027658,
0.423464,
0.272903
],
[
-0.574156,
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0.389438
]
],
"network.0.bias": [
0.003206,
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0.301152,
0.797451,
-0.428747
],
"network.2.weight": [
[
-0.127706,
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],
[
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],
[
-0.36157,
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-0.359521,
-0.820866,
-0.072396
],
[
0.41954,
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0.406048,
-0.198389
],
[
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]
],
"network.2.bias": [
-0.72693,
-0.684855,
-0.219963,
0.161812,
-0.504314
],
"network.4.weight": [
[
0.353903,
0.354096,
-0.255933,
-0.127558,
-0.368796
],
[
-0.040079,
-0.353184,
-0.402782,
0.113063,
0.05574
],
[
-0.385546,
-0.257728,
-0.261462,
-0.418785,
-0.071146
],
[
-0.053269,
-0.694017,
-0.068068,
0.153202,
-0.505227
],
[
-0.215595,
-0.60827,
-0.199407,
0.380043,
-0.709661
]
],
"network.4.bias": [
-0.009974,
-0.676179,
-0.231763,
0.845744,
0.93339
],
"network.6.weight": [
[
-0.159836,
0.016303,
0.195225,
0.575386,
0.506998
],
[
0.431821,
0.027123,
0.208104,
-0.139882,
0.210014
],
[
0.27731,
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0.078027,
0.677949,
0.842412
],
[
-0.331164,
0.184085,
0.296572,
0.09553,
-0.38516
],
[
0.430104,
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-0.42797,
0.712416,
1.295516
]
],
"network.6.bias": [
-0.00663,
-0.281406,
0.02511,
-0.306964,
-0.060763
],
"network.8.weight": [
[
-0.243513,
0.056556,
-0.447261,
0.247682,
-0.447945
]
],
"network.8.bias": [
0.361448
]
}
## Activation Signature
### 0
mean: [-2.420807, 0.724533, -2.015011, 1.368814, 1.764014]
std: [1.741876, 1.504261, 1.483688, 1.236108, 2.271826]
pca: [[-0.363219, 0.667005, 0.226545, -0.035547, -0.608762, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.354532, 0.472113, -0.237577, 0.751591, 0.173450, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.433528, 0.357136, 0.295351, -0.103230, 0.765910, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.105921, -0.283641, 0.853385, 0.416589, -0.080722, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.737030, 0.352443, 0.277012, -0.499645, 0.078676, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.423597, 28.534324, 33.544959, 36.850869, 217.872608], [20.833147, 21.817747, 24.985649, 29.671814, 65.207985], [23.732335, 24.139226, 24.186653, 29.579953, 181.350981], [20.326667, 21.241430, 21.597757, 22.859690, 123.193264], [31.781883, 32.271874, 34.906572, 42.338657, 158.761241]]
### 2
mean: [-1.404911, -2.058450, -1.480622, -0.522587, 0.373949]
std: [0.836307, 1.264068, 0.965756, 1.375186, 1.048754]
pca: [[0.386486, -0.079290, 0.212682, 0.559236, 0.697397, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.519588, 0.466781, -0.499518, 0.356349, -0.368294, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.022058, 0.762349, 0.629777, -0.147374, 0.000568, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.585589, -0.437561, 0.492668, -0.072277, -0.466561, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.487088, -0.056512, 0.256725, 0.730292, -0.400396, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.663924, 13.085486, 14.460771, 15.300718, 126.441948], [18.961791, 19.420208, 19.913176, 21.457436, 185.260498], [14.230684, 15.949170, 16.080143, 19.016304, 133.255970], [21.170321, 24.015354, 25.402983, 26.013164, 47.032859], [14.211466, 15.742059, 17.565506, 18.899485, 33.655383]]
### 4
mean: [-0.264435, -0.614544, -0.378259, 0.578190, 0.598310]
std: [0.297294, 0.049005, 0.142712, 0.455413, 0.672940]
pca: [[0.331588, 0.477827, 0.526623, -0.285310, -0.550451, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.028788, -0.243512, 0.824435, 0.127692, 0.493837, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.025676, 0.812136, -0.107953, 0.027133, 0.572176, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.528837, 0.055604, -0.034414, 0.840088, -0.101523, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.780316, -0.222993, -0.173598, -0.442502, 0.339760, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.358405, 4.686807, 4.968293, 5.525756, 23.799111], [0.819027, 0.823461, 0.833192, 1.072276, 55.308962], [2.294479, 2.315594, 2.433219, 2.448168, 34.043353], [6.927273, 7.272894, 7.334529, 7.708266, 52.037113], [10.819531, 10.911546, 10.948971, 11.055689, 53.847865]]
### 6
mean: [0.712212, -0.221577, 1.044569, -0.517977, 1.299314]
std: [0.421406, 0.049873, 0.607310, 0.143275, 0.823890]
pca: [[0.377153, 0.448120, -0.226557, 0.753683, 0.193852, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.043361, -0.514067, 0.378933, 0.207603, 0.739706, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.543678, 0.230256, 0.764336, -0.120131, -0.229686, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.127570, 0.644822, -0.000788, -0.471088, 0.588222, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.737574, -0.257118, -0.469970, -0.390523, 0.128433, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.152671, 6.873998, 6.920680, 7.548908, 64.099076], [0.765981, 0.790084, 0.887839, 0.907802, 19.941976], [8.819036, 9.907060, 10.043260, 10.910702, 94.011178], [2.063402, 2.322804, 2.469781, 2.608916, 46.617953], [11.895512, 13.437819, 13.716739, 14.841252, 116.938293]]
### 8
mean: [-0.864725]
std: [0.737410]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.694705, 12.003546, 12.251270, 13.295283, 77.825264]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
vowel_consonant
|
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[10.694705223420524, 12.003546494600961, 12.251269794887303, 13.295282963547503, 77.82526355981827]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.375251, -0.140427, -0.353526, -0.207879, -0.419095], [-0.487213, 0.395451, 0.221969, 0.347799, -0.267797], [-0.100191, -0.324073, -0.33061, -0.258505, -0.288641], [0.203014, -0.53985, 0.027658, 0.423464, 0.272903], [-0.574156, 0.644673, -0.034474, 0.617518, 0.389438]], "network.0.bias": [0.003206, -0.268977, 0.301152, 0.797451, -0.428747], "network.2.weight": [[-0.127706, -0.413408, -0.03961, 0.118649, -0.21694], [0.429288, 0.095567, -0.057418, -0.122478, -0.648025], [-0.36157, 0.073262, -0.359521, -0.820866, -0.072396], [0.41954, -0.865747, -0.126736, 0.406048, -0.198389], [0.216392, 0.200949, 0.116569, -0.154997, 0.449275]], "network.2.bias": [-0.72693, -0.684855, -0.219963, 0.161812, -0.504314], "network.4.weight": [[0.353903, 0.354096, -0.255933, -0.127558, -0.368796], [-0.040079, -0.353184, -0.402782, 0.113063, 0.05574], [-0.385546, -0.257728, -0.261462, -0.418785, -0.071146], [-0.053269, -0.694017, -0.068068, 0.153202, -0.505227], [-0.215595, -0.60827, -0.199407, 0.380043, -0.709661]], "network.4.bias": [-0.009974, -0.676179, -0.231763, 0.845744, 0.93339], "network.6.weight": [[-0.159836, 0.016303, 0.195225, 0.575386, 0.506998], [0.431821, 0.027123, 0.208104, -0.139882, 0.210014], [0.27731, -0.144789, 0.078027, 0.677949, 0.842412], [-0.331164, 0.184085, 0.296572, 0.09553, -0.38516], [0.430104, -0.536868, -0.42797, 0.712416, 1.295516]], "network.6.bias": [-0.00663, -0.281406, 0.02511, -0.306964, -0.060763], "network.8.weight": [[-0.243513, 0.056556, -0.447261, 0.247682, -0.447945]], "network.8.bias": [0.361448]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6766513586044312, "train_acc": 0.57, "val_loss": 0.7446339130401611, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6850020885467529, "train_acc": 0.57, "val_loss": 0.7290737628936768, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6826345324516296, "train_acc": 0.57, "val_loss": 0.7050325274467468, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6855612099170685, "train_acc": 0.51, "val_loss": 0.6659142971038818, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6655791401863098, "train_acc": 0.62, "val_loss": 0.629109263420105, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.6260428428649902, "train_acc": 0.675, "val_loss": 0.6001371741294861, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5657498836517334, "train_acc": 0.7, "val_loss": 0.6546145677566528, "val_acc": 0.7}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5858764052391052, "train_acc": 0.71, "val_loss": 0.6870067119598389, "val_acc": 0.72}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.5930247455835342, "train_acc": 0.73, "val_loss": 0.6451126933097839, "val_acc": 0.7}], "summary": {"total_epochs": 9, "degraded_epochs": 3, "improved_epochs": 6, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.7446339130401611, "final_val_loss": 0.7050325274467468, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.6659142971038818, "final_val_loss": 0.6451126933097839, "initial_val_acc": 0.76, "final_val_acc": 0.7, "best_val_acc": 0.78, "best_epoch": 5}, "improvement": 0.32, "first_improvement_epoch": 2}}
|
161
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.56, "improved_accuracy": 0.82, "improvement": 0.2599999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7295, "learning_rate": 0.07046194004442516, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.286346,
0.15995,
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[
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[
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[
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[
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0.018775
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[
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0.229013,
0.104171,
-0.089221,
0.204222,
0.235454
]
],
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"network.12.bias": [
0.076863
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}
## Activation Signature
### 0
mean: [-2.538171, 0.718399, 2.529947, 1.361273, 0.002211, -2.097223, 0.342398, 2.546509]
std: [1.401583, 1.314937, 1.933705, 1.812189, 2.113301, 1.325658, 0.849149, 2.386778]
pca: [[-0.285312, -0.286934, 0.340418, -0.324952, 0.259730, -0.574248, 0.462573, 0.059952, 0.000000, 0.000000], [0.213859, 0.153197, 0.725109, -0.332575, -0.139677, 0.132622, -0.239283, -0.447270, 0.000000, 0.000000], [0.422776, 0.375886, 0.200300, -0.207333, 0.055091, 0.183554, 0.309490, 0.681434, 0.000000, 0.000000], [0.418492, -0.111687, -0.072917, 0.058434, 0.866297, 0.058340, -0.104917, -0.196922, 0.000000, 0.000000], [-0.328416, 0.839734, -0.111827, 0.034501, 0.221967, -0.131443, 0.172969, -0.277181, 0.000000, 0.000000], [-0.300908, -0.182132, 0.148076, 0.123535, 0.105127, 0.718756, 0.533647, -0.163259, 0.000000, 0.000000], [0.057852, 0.043480, 0.473106, 0.845933, 0.001335, -0.210377, 0.033917, 0.099599, 0.000000, 0.000000], [0.563239, -0.014811, -0.233740, 0.073107, -0.314965, -0.193412, 0.553290, -0.424055, 0.000000, 0.000000]]
fourier: [[21.580245, 21.803921, 24.978029, 27.736114, 228.435346], [20.364088, 20.786053, 22.676323, 24.679981, 64.655900], [29.630237, 29.881833, 30.263763, 42.584112, 227.695211], [28.504903, 29.079932, 31.170768, 34.256574, 122.514600], [30.115180, 31.000767, 33.508687, 34.406479, 37.102558], [20.160403, 21.933598, 24.378532, 25.342847, 188.750087], [13.348521, 14.217839, 14.938628, 15.140946, 30.815789], [40.118643, 40.256256, 40.697192, 41.695424, 229.185823]]
### 2
mean: [-2.298215, 3.895444, 0.256971, 1.694160, 2.616670, -1.535466, 0.678659, -1.553069]
std: [1.641691, 3.487011, 0.842226, 1.578113, 2.660882, 0.767940, 0.482484, 0.951029]
pca: [[-0.308389, 0.453702, -0.161817, -0.017282, -0.604817, 0.491727, -0.040807, 0.251601, 0.000000, 0.000000], [0.696827, 0.076366, -0.026238, -0.425062, 0.109510, 0.284203, 0.244733, 0.417823, 0.000000, 0.000000], [-0.137291, -0.343556, -0.420480, 0.430765, 0.229704, 0.044206, -0.084066, 0.662551, 0.000000, 0.000000], [0.307229, -0.085842, 0.536681, 0.608125, -0.385258, -0.051030, 0.266644, 0.135173, 0.000000, 0.000000], [0.525499, 0.289787, -0.381830, 0.398548, -0.001370, 0.066068, -0.485889, -0.307872, 0.000000, 0.000000], [-0.048487, 0.591792, -0.281421, 0.163336, 0.160920, -0.448200, 0.558150, 0.056956, 0.000000, 0.000000], [0.011647, -0.352390, -0.373224, 0.141017, -0.040370, 0.443368, 0.559139, -0.453500, 0.000000, 0.000000], [-0.165693, 0.323342, 0.379486, 0.241336, 0.627288, 0.520625, 0.004216, -0.034422, 0.000000, 0.000000]]
fourier: [[25.264109, 25.570906, 27.257376, 34.792257, 206.839378], [54.368385, 57.910457, 62.482946, 63.520094, 350.589979], [11.719661, 12.191832, 15.030186, 15.259157, 23.127369], [25.060214, 26.387440, 28.905622, 30.447484, 152.474363], [40.949022, 43.981580, 44.800195, 53.849092, 235.500322], [10.721522, 11.803738, 12.599555, 14.662321, 138.191943], [6.963917, 6.990672, 9.234889, 9.261539, 61.079334], [16.151270, 16.193918, 16.545652, 18.454465, 139.776209]]
### 4
mean: [-1.310402, 2.642087, -1.557580, 2.804621, -2.177232, 2.296762, -3.231200, 3.358841]
std: [0.962419, 2.400952, 0.930589, 2.644897, 1.781051, 2.514159, 2.758620, 3.389715]
pca: [[-0.144898, -0.405869, 0.456250, -0.125636, -0.179915, -0.393190, 0.063378, 0.631935, 0.000000, 0.000000], [0.365613, 0.205146, 0.384085, 0.588904, -0.324093, 0.389372, -0.156239, 0.221032, 0.000000, 0.000000], [-0.140647, 0.059261, 0.458311, 0.195320, 0.825549, 0.113851, 0.184425, 0.001128, 0.000000, 0.000000], [0.402794, 0.421834, 0.161342, -0.485878, -0.083797, 0.083144, 0.608330, 0.117065, 0.000000, 0.000000], [-0.269614, 0.750272, 0.105300, -0.121378, 0.016121, -0.325420, -0.452122, 0.167352, 0.000000, 0.000000], [0.383229, -0.155442, -0.154153, -0.413797, 0.325378, 0.350362, -0.511579, 0.379005, 0.000000, 0.000000], [-0.420341, -0.083624, 0.461857, -0.407011, -0.259395, 0.498236, -0.154907, -0.312777, 0.000000, 0.000000], [0.516782, -0.132915, 0.400090, -0.107522, 0.024972, -0.443875, -0.278158, -0.518282, 0.000000, 0.000000]]
fourier: [[16.065066, 16.515612, 16.580330, 18.202267, 117.936192], [37.506362, 40.423364, 41.679832, 45.850074, 237.787803], [14.944721, 15.465838, 15.720899, 16.570168, 140.182195], [40.099403, 44.164061, 45.387645, 52.057879, 252.415896], [28.234702, 31.457008, 31.467963, 31.992144, 195.950864], [38.913640, 43.588295, 43.871240, 47.855395, 206.708535], [43.114623, 48.259242, 48.417237, 51.472769, 290.807950], [51.962827, 57.736402, 59.002325, 65.016343, 302.295679]]
### 6
mean: [2.166552, -1.989701, -2.534440, 6.243066, 2.368385, 3.522931, -3.277040, 2.680171]
std: [2.105723, 1.380265, 2.160805, 5.586754, 2.194100, 3.376315, 2.920022, 2.699764]
pca: [[0.244371, -0.180203, -0.304731, 0.553635, 0.006122, 0.683464, 0.161177, -0.123688, 0.000000, 0.000000], [-0.160111, -0.303559, 0.396015, 0.284034, -0.113078, -0.289736, 0.673348, -0.307542, 0.000000, 0.000000], [-0.250716, -0.418500, 0.376252, 0.222389, 0.219418, 0.127123, -0.154469, 0.694846, 0.000000, 0.000000], [0.648434, -0.136241, 0.385784, -0.340425, -0.463118, 0.194099, 0.099651, 0.184854, 0.000000, 0.000000], [0.254523, 0.548842, 0.415859, 0.593763, -0.033335, -0.178753, -0.274448, -0.010601, 0.000000, 0.000000], [0.391869, 0.228898, -0.017972, -0.129468, 0.720985, -0.057979, 0.455735, 0.214674, 0.000000, 0.000000], [-0.338871, 0.274697, 0.506083, -0.278373, 0.194472, 0.585538, 0.006598, -0.308836, 0.000000, 0.000000], [0.313282, -0.502588, 0.174744, -0.025665, 0.407190, -0.130103, -0.451415, -0.481206, 0.000000, 0.000000]]
fourier: [[32.885269, 36.709368, 36.959345, 38.908107, 194.989657], [21.508446, 23.769095, 23.993506, 26.009711, 179.073129], [33.483549, 37.316036, 37.523033, 40.609226, 228.099595], [86.734316, 97.374579, 98.338515, 102.817821, 561.875911], [34.075231, 37.934444, 38.013443, 41.262709, 213.154657], [52.156994, 58.614044, 59.289883, 62.662403, 317.063855], [45.671089, 50.878141, 51.343688, 53.840969, 294.933546], [41.847696, 47.235559, 48.012139, 49.092265, 241.215336]]
### 8
mean: [7.453345, -5.359881, -4.661563, 2.658001, 2.912462, -2.979229, -3.010900, 1.851530]
std: [6.817463, 4.826347, 4.086903, 2.786085, 2.887712, 2.547000, 2.777598, 1.788563]
pca: [[0.622418, -0.153615, 0.088927, -0.107014, -0.447827, 0.338870, -0.123701, 0.488829, 0.000000, 0.000000], [-0.440634, 0.099773, -0.233742, -0.290813, -0.359183, 0.028063, 0.618845, 0.379355, 0.000000, 0.000000], [-0.373124, -0.143335, 0.143337, -0.149014, 0.539357, 0.422125, -0.273305, 0.503679, 0.000000, 0.000000], [0.254339, -0.614182, 0.277704, -0.288971, 0.325850, -0.136662, 0.510809, -0.108114, 0.000000, 0.000000], [0.263608, 0.714274, 0.459634, 0.005395, 0.278594, 0.056579, 0.341168, 0.108718, 0.000000, 0.000000], [-0.232534, -0.078812, 0.368626, 0.066541, -0.283502, 0.684900, 0.119603, -0.485426, 0.000000, 0.000000], [-0.253583, -0.205418, 0.555940, 0.561906, -0.233361, -0.343976, 0.017196, 0.309224, 0.000000, 0.000000], [0.163287, -0.100441, -0.428456, 0.691427, 0.246798, 0.311297, 0.367575, 0.093150, 0.000000, 0.000000]]
fourier: [[105.599316, 118.816163, 120.159017, 125.192438, 670.801008], [74.793091, 84.099140, 85.068259, 88.612154, 482.389348], [63.316230, 71.195133, 71.941236, 75.192164, 419.540678], [43.387446, 48.658142, 49.323101, 50.797754, 239.220081], [44.649744, 50.125127, 50.555483, 53.599097, 262.121623], [39.529226, 44.387090, 44.841437, 46.856373, 268.130592], [43.163715, 48.393029, 48.841869, 51.210417, 270.980961], [27.791165, 31.206904, 31.577786, 32.723322, 166.637699]]
### 10
mean: [-1.375517, -3.151276, -2.554867, -0.826679, 1.685225, 6.409173, 1.097400, -2.646530]
std: [1.285338, 2.922187, 2.420836, 0.542664, 1.931799, 6.211278, 1.259435, 2.067344]
pca: [[-0.159974, 0.687258, -0.099057, 0.474311, -0.022860, 0.057392, -0.125553, -0.497717, 0.000000, 0.000000], [-0.363807, 0.264068, 0.349652, 0.013985, -0.360523, -0.298038, 0.628206, 0.249026, 0.000000, 0.000000], [-0.301389, -0.233135, -0.303367, 0.696757, 0.147446, 0.061330, -0.008379, 0.501735, 0.000000, 0.000000], [-0.067561, 0.021642, -0.090905, -0.104160, -0.067371, 0.899365, 0.402329, -0.024262, 0.000000, 0.000000], [0.240499, 0.318610, 0.462199, 0.054091, 0.730090, 0.082339, 0.096392, 0.273848, 0.000000, 0.000000], [0.773301, 0.005885, 0.145819, 0.402671, -0.441306, 0.053869, 0.079696, 0.120665, 0.000000, 0.000000], [0.156786, -0.344552, -0.178518, 0.193921, 0.331896, -0.236162, 0.607972, -0.501668, 0.000000, 0.000000], [-0.257367, -0.427623, 0.707726, 0.275387, -0.072693, 0.172645, -0.205869, -0.310988, 0.000000, 0.000000]]
fourier: [[19.950806, 22.415871, 22.617714, 23.850476, 123.796575], [45.254659, 50.945216, 51.549373, 53.525478, 283.614873], [37.599739, 42.144583, 42.671050, 44.128966, 229.938060], [8.421178, 9.447104, 9.555139, 9.945198, 74.401146], [30.080493, 33.600858, 34.020830, 35.194564, 151.670287], [96.393316, 108.189520, 109.492010, 113.574073, 576.825663], [19.498584, 21.966752, 22.203522, 23.198573, 98.765977], [32.169425, 36.042104, 36.550097, 37.495518, 238.187705]]
### 12
mean: [-2.471796]
std: [2.556625]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.624433, 44.419342, 44.920949, 46.315573, 222.461674]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
mean: [-2.538171, 0.718399, 2.529947, 1.361273, 0.002211, -2.097223, 0.342398, 2.546509]
std: [1.401583, 1.314937, 1.933705, 1.812189, 2.113301, 1.325658, 0.849149, 2.386778]
pca: [[-0.285312, -0.286934, 0.340418, -0.324952, 0.259730, -0.574248, 0.462573, 0.059952, 0.000000, 0.000000], [0.213859, 0.153197, 0.725109, -0.332575, -0.139677, 0.132622, -0.239283, -0.447270, 0.000000, 0.000000], [0.422776, 0.375886, 0.200300, -0.207333, 0.055091, 0.183554, 0.309490, 0.681434, 0.000000, 0.000000], [0.418492, -0.111687, -0.072917, 0.058434, 0.866297, 0.058340, -0.104917, -0.196922, 0.000000, 0.000000], [-0.328416, 0.839734, -0.111827, 0.034501, 0.221967, -0.131443, 0.172969, -0.277181, 0.000000, 0.000000], [-0.300908, -0.182132, 0.148076, 0.123535, 0.105127, 0.718756, 0.533647, -0.163259, 0.000000, 0.000000], [0.057852, 0.043480, 0.473106, 0.845933, 0.001335, -0.210377, 0.033917, 0.099599, 0.000000, 0.000000], [0.563239, -0.014811, -0.233740, 0.073107, -0.314965, -0.193412, 0.553290, -0.424055, 0.000000, 0.000000]]
fourier: [[21.580245, 21.803921, 24.978029, 27.736114, 228.435346], [20.364088, 20.786053, 22.676323, 24.679981, 64.655900], [29.630237, 29.881833, 30.263763, 42.584112, 227.695211], [28.504903, 29.079932, 31.170768, 34.256574, 122.514600], [30.115180, 31.000767, 33.508687, 34.406479, 37.102558], [20.160403, 21.933598, 24.378532, 25.342847, 188.750087], [13.348521, 14.217839, 14.938628, 15.140946, 30.815789], [40.118643, 40.256256, 40.697192, 41.695424, 229.185823]]
### 2
mean: [-2.298215, 3.895444, 0.256971, 1.694160, 2.616670, -1.535466, 0.678659, -1.553069]
std: [1.641691, 3.487011, 0.842226, 1.578113, 2.660882, 0.767940, 0.482484, 0.951029]
pca: [[-0.308389, 0.453702, -0.161817, -0.017282, -0.604817, 0.491727, -0.040807, 0.251601, 0.000000, 0.000000], [0.696827, 0.076366, -0.026238, -0.425062, 0.109510, 0.284203, 0.244733, 0.417823, 0.000000, 0.000000], [-0.137291, -0.343556, -0.420480, 0.430765, 0.229704, 0.044206, -0.084066, 0.662551, 0.000000, 0.000000], [0.307229, -0.085842, 0.536681, 0.608125, -0.385258, -0.051030, 0.266644, 0.135173, 0.000000, 0.000000], [0.525499, 0.289787, -0.381830, 0.398548, -0.001370, 0.066068, -0.485889, -0.307872, 0.000000, 0.000000], [-0.048487, 0.591792, -0.281421, 0.163336, 0.160920, -0.448200, 0.558150, 0.056956, 0.000000, 0.000000], [0.011647, -0.352390, -0.373224, 0.141017, -0.040370, 0.443368, 0.559139, -0.453500, 0.000000, 0.000000], [-0.165693, 0.323342, 0.379486, 0.241336, 0.627288, 0.520625, 0.004216, -0.034422, 0.000000, 0.000000]]
fourier: [[25.264109, 25.570906, 27.257376, 34.792257, 206.839378], [54.368385, 57.910457, 62.482946, 63.520094, 350.589979], [11.719661, 12.191832, 15.030186, 15.259157, 23.127369], [25.060214, 26.387440, 28.905622, 30.447484, 152.474363], [40.949022, 43.981580, 44.800195, 53.849092, 235.500322], [10.721522, 11.803738, 12.599555, 14.662321, 138.191943], [6.963917, 6.990672, 9.234889, 9.261539, 61.079334], [16.151270, 16.193918, 16.545652, 18.454465, 139.776209]]
### 4
mean: [-1.310402, 2.642087, -1.557580, 2.804621, -2.177232, 2.296762, -3.231200, 3.358841]
std: [0.962419, 2.400952, 0.930589, 2.644897, 1.781051, 2.514159, 2.758620, 3.389715]
pca: [[-0.144898, -0.405869, 0.456250, -0.125636, -0.179915, -0.393190, 0.063378, 0.631935, 0.000000, 0.000000], [0.365613, 0.205146, 0.384085, 0.588904, -0.324093, 0.389372, -0.156239, 0.221032, 0.000000, 0.000000], [-0.140647, 0.059261, 0.458311, 0.195320, 0.825549, 0.113851, 0.184425, 0.001128, 0.000000, 0.000000], [0.402794, 0.421834, 0.161342, -0.485878, -0.083797, 0.083144, 0.608330, 0.117065, 0.000000, 0.000000], [-0.269614, 0.750272, 0.105300, -0.121378, 0.016121, -0.325420, -0.452122, 0.167352, 0.000000, 0.000000], [0.383229, -0.155442, -0.154153, -0.413797, 0.325378, 0.350362, -0.511579, 0.379005, 0.000000, 0.000000], [-0.420341, -0.083624, 0.461857, -0.407011, -0.259395, 0.498236, -0.154907, -0.312777, 0.000000, 0.000000], [0.516782, -0.132915, 0.400090, -0.107522, 0.024972, -0.443875, -0.278158, -0.518282, 0.000000, 0.000000]]
fourier: [[16.065066, 16.515612, 16.580330, 18.202267, 117.936192], [37.506362, 40.423364, 41.679832, 45.850074, 237.787803], [14.944721, 15.465838, 15.720899, 16.570168, 140.182195], [40.099403, 44.164061, 45.387645, 52.057879, 252.415896], [28.234702, 31.457008, 31.467963, 31.992144, 195.950864], [38.913640, 43.588295, 43.871240, 47.855395, 206.708535], [43.114623, 48.259242, 48.417237, 51.472769, 290.807950], [51.962827, 57.736402, 59.002325, 65.016343, 302.295679]]
### 6
mean: [2.166552, -1.989701, -2.534440, 6.243066, 2.368385, 3.522931, -3.277040, 2.680171]
std: [2.105723, 1.380265, 2.160805, 5.586754, 2.194100, 3.376315, 2.920022, 2.699764]
pca: [[0.244371, -0.180203, -0.304731, 0.553635, 0.006122, 0.683464, 0.161177, -0.123688, 0.000000, 0.000000], [-0.160111, -0.303559, 0.396015, 0.284034, -0.113078, -0.289736, 0.673348, -0.307542, 0.000000, 0.000000], [-0.250716, -0.418500, 0.376252, 0.222389, 0.219418, 0.127123, -0.154469, 0.694846, 0.000000, 0.000000], [0.648434, -0.136241, 0.385784, -0.340425, -0.463118, 0.194099, 0.099651, 0.184854, 0.000000, 0.000000], [0.254523, 0.548842, 0.415859, 0.593763, -0.033335, -0.178753, -0.274448, -0.010601, 0.000000, 0.000000], [0.391869, 0.228898, -0.017972, -0.129468, 0.720985, -0.057979, 0.455735, 0.214674, 0.000000, 0.000000], [-0.338871, 0.274697, 0.506083, -0.278373, 0.194472, 0.585538, 0.006598, -0.308836, 0.000000, 0.000000], [0.313282, -0.502588, 0.174744, -0.025665, 0.407190, -0.130103, -0.451415, -0.481206, 0.000000, 0.000000]]
fourier: [[32.885269, 36.709368, 36.959345, 38.908107, 194.989657], [21.508446, 23.769095, 23.993506, 26.009711, 179.073129], [33.483549, 37.316036, 37.523033, 40.609226, 228.099595], [86.734316, 97.374579, 98.338515, 102.817821, 561.875911], [34.075231, 37.934444, 38.013443, 41.262709, 213.154657], [52.156994, 58.614044, 59.289883, 62.662403, 317.063855], [45.671089, 50.878141, 51.343688, 53.840969, 294.933546], [41.847696, 47.235559, 48.012139, 49.092265, 241.215336]]
### 8
mean: [7.453345, -5.359881, -4.661563, 2.658001, 2.912462, -2.979229, -3.010900, 1.851530]
std: [6.817463, 4.826347, 4.086903, 2.786085, 2.887712, 2.547000, 2.777598, 1.788563]
pca: [[0.622418, -0.153615, 0.088927, -0.107014, -0.447827, 0.338870, -0.123701, 0.488829, 0.000000, 0.000000], [-0.440634, 0.099773, -0.233742, -0.290813, -0.359183, 0.028063, 0.618845, 0.379355, 0.000000, 0.000000], [-0.373124, -0.143335, 0.143337, -0.149014, 0.539357, 0.422125, -0.273305, 0.503679, 0.000000, 0.000000], [0.254339, -0.614182, 0.277704, -0.288971, 0.325850, -0.136662, 0.510809, -0.108114, 0.000000, 0.000000], [0.263608, 0.714274, 0.459634, 0.005395, 0.278594, 0.056579, 0.341168, 0.108718, 0.000000, 0.000000], [-0.232534, -0.078812, 0.368626, 0.066541, -0.283502, 0.684900, 0.119603, -0.485426, 0.000000, 0.000000], [-0.253583, -0.205418, 0.555940, 0.561906, -0.233361, -0.343976, 0.017196, 0.309224, 0.000000, 0.000000], [0.163287, -0.100441, -0.428456, 0.691427, 0.246798, 0.311297, 0.367575, 0.093150, 0.000000, 0.000000]]
fourier: [[105.599316, 118.816163, 120.159017, 125.192438, 670.801008], [74.793091, 84.099140, 85.068259, 88.612154, 482.389348], [63.316230, 71.195133, 71.941236, 75.192164, 419.540678], [43.387446, 48.658142, 49.323101, 50.797754, 239.220081], [44.649744, 50.125127, 50.555483, 53.599097, 262.121623], [39.529226, 44.387090, 44.841437, 46.856373, 268.130592], [43.163715, 48.393029, 48.841869, 51.210417, 270.980961], [27.791165, 31.206904, 31.577786, 32.723322, 166.637699]]
### 10
mean: [-1.375517, -3.151276, -2.554867, -0.826679, 1.685225, 6.409173, 1.097400, -2.646530]
std: [1.285338, 2.922187, 2.420836, 0.542664, 1.931799, 6.211278, 1.259435, 2.067344]
pca: [[-0.159974, 0.687258, -0.099057, 0.474311, -0.022860, 0.057392, -0.125553, -0.497717, 0.000000, 0.000000], [-0.363807, 0.264068, 0.349652, 0.013985, -0.360523, -0.298038, 0.628206, 0.249026, 0.000000, 0.000000], [-0.301389, -0.233135, -0.303367, 0.696757, 0.147446, 0.061330, -0.008379, 0.501735, 0.000000, 0.000000], [-0.067561, 0.021642, -0.090905, -0.104160, -0.067371, 0.899365, 0.402329, -0.024262, 0.000000, 0.000000], [0.240499, 0.318610, 0.462199, 0.054091, 0.730090, 0.082339, 0.096392, 0.273848, 0.000000, 0.000000], [0.773301, 0.005885, 0.145819, 0.402671, -0.441306, 0.053869, 0.079696, 0.120665, 0.000000, 0.000000], [0.156786, -0.344552, -0.178518, 0.193921, 0.331896, -0.236162, 0.607972, -0.501668, 0.000000, 0.000000], [-0.257367, -0.427623, 0.707726, 0.275387, -0.072693, 0.172645, -0.205869, -0.310988, 0.000000, 0.000000]]
fourier: [[19.950806, 22.415871, 22.617714, 23.850476, 123.796575], [45.254659, 50.945216, 51.549373, 53.525478, 283.614873], [37.599739, 42.144583, 42.671050, 44.128966, 229.938060], [8.421178, 9.447104, 9.555139, 9.945198, 74.401146], [30.080493, 33.600858, 34.020830, 35.194564, 151.670287], [96.393316, 108.189520, 109.492010, 113.574073, 576.825663], [19.498584, 21.966752, 22.203522, 23.198573, 98.765977], [32.169425, 36.042104, 36.550097, 37.495518, 238.187705]]
### 12
mean: [-2.471796]
std: [2.556625]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.624433, 44.419342, 44.920949, 46.315573, 222.461674]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
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[32.16942547342017, 36.042103978409834, 36.55009664493773, 37.49551838306604, 238.18770533800125]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "12": {"neuron_profiles": {"0": {"mean": -2.4717962741851807, "std": 2.5566251277923584, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [39.62443280069699, 44.419341833639756, 44.92094888538735, 46.315572812239125, 222.46167439222336]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.266309, -0.216361, -0.409982, -0.151786, -0.099766], [-0.185297, 0.549885, 0.374813, -0.354679, -0.166728], [0.096339, 0.681311, 0.582192, -0.206206, 0.076644], [0.568619, 0.411638, 0.239851, -0.264422, -0.006462], [-0.845124, -0.279173, 0.257511, 0.246062, 0.586363], [-0.228216, -0.406918, -0.296345, 0.018343, -0.073063], [-0.027218, -0.124379, 0.382736, -0.108294, -0.264714], [0.682429, 0.603023, 0.406541, -0.049265, -0.129405]], "network.0.bias": [-0.507558, 0.130256, 0.300095, -0.022451, -0.226122, -0.40192, 0.362133, 0.014451], "network.2.weight": [[-0.090995, -0.160801, -0.557945, -0.170384, -0.214213, 0.31616, -0.020399, -0.096661], [0.178892, 0.445342, 0.396397, 0.359142, -0.424086, 0.089653, 0.327543, 0.70123], [-0.065308, -0.541154, 0.302871, -0.078027, 0.347637, -0.233865, -0.237301, -0.216745], [0.336296, 0.492136, -0.055483, 0.259192, 0.045469, -0.173835, 0.593696, 0.318912], [-0.265248, 0.101799, 0.211058, 0.645648, -0.459152, 0.072948, 0.340286, 0.37845], [-0.049945, -0.041056, -0.27294, 0.43822, -0.481869, 0.099619, -0.032098, -0.269997], [-0.319663, -0.392844, 0.314713, -0.181085, 0.284732, 0.075951, -0.138316, 0.101898], [-0.220864, -0.055942, -0.140477, -0.033889, -0.285457, -0.000391, 0.316256, -0.288459]], "network.2.bias": [-0.06523, 0.30247, 0.518887, -0.157831, 0.242528, -0.37033, 0.10123, -0.305533], "network.4.weight": [[0.233288, -0.085563, 0.170825, 0.044537, -0.253944, 0.193314, -0.30658, -0.217989], [0.584046, 0.221882, -0.023032, 0.093556, 0.586377, -0.001406, -0.348299, 0.060198], [-0.04034, -0.450931, -0.09751, 0.097156, 0.168804, -0.102274, 0.070338, 0.195151], [-0.054456, 0.506078, -0.475156, -0.185414, 0.391294, 0.346517, 0.041071, 0.306872], [0.048126, -0.344104, 0.101839, -0.448874, 0.050163, 0.1224, 0.238537, -0.320567], [0.087372, 0.472944, -0.516571, 0.165825, 0.1683, 0.298795, 0.118233, 0.315924], [0.043427, -0.310871, 0.297854, -0.268902, -0.454067, -0.225138, -0.150567, -0.18132], [0.156394, 0.526159, -0.433616, 0.190979, 0.442346, 0.102526, -0.258766, -0.006725]], "network.4.bias": [-0.238401, 0.280235, -0.402213, 0.269289, -0.405206, -0.137247, -0.367688, 0.152693], "network.6.weight": [[-0.200972, -0.114026, -0.05828, 0.369639, -0.389952, 0.218508, -0.169111, 0.269448], [-0.268653, -0.111616, 0.309324, -0.435577, -0.330518, -0.004168, 0.168981, 0.006486], [0.188422, -0.295485, 0.028367, -0.531098, -0.285997, -0.089562, 0.309946, 0.040006], [-0.127959, 0.575197, 0.020186, 0.441685, 0.127118, 0.534591, 0.050399, 0.542524], [0.243652, 0.399922, -0.224933, 0.249455, -0.461684, -0.168683, 0.13809, 0.30353], [0.247412, 0.108826, -0.377746, 0.550036, 0.172959, -0.05825, 0.045648, 0.557168], [-0.336201, 0.05056, 0.287712, -0.509734, 0.154328, -0.422955, 0.397674, -0.211399], [0.240491, -0.105612, 0.050507, 0.155533, 0.008347, 0.264139, -0.309234, 0.579676]], "network.6.bias": [-0.026244, -0.462281, -0.158155, 0.314004, -0.044064, -0.111597, -0.227173, -0.104342], "network.8.weight": [[0.559824, 0.058512, -0.072162, 0.610591, 0.129546, 0.286346, 0.15995, 0.366776], [-0.433894, -0.044712, -0.059246, -0.319099, -0.174085, -0.255141, 0.100188, -0.332999], [0.019584, -0.064137, -0.131254, -0.509375, 0.046459, -0.346205, -0.477412, -0.081277], [0.394709, -0.283897, -0.124326, 0.236273, -0.233604, 0.084874, -0.164836, 0.321357], [0.343178, -0.326751, 0.073735, 0.018045, 0.526907, 0.351993, -0.079543, -0.100787], [-0.181372, 0.304465, 0.049775, -0.34419, -0.212582, 0.138314, -0.247315, -0.091155], [-0.180476, 0.082255, -0.294347, -0.476481, -0.251324, 0.226325, -0.087215, 0.018775], [-0.023796, -0.159172, -0.091427, 0.229013, 0.104171, -0.089221, 0.204222, 0.235454]], "network.8.bias": [0.11728, -0.212737, -0.192716, -0.285946, -0.168719, -0.174123, 0.103041, -0.093554], "network.10.weight": [[-0.203176, 0.032089, -0.279079, 0.307658, 0.079089, -0.034205, -0.109332, -0.545458], [-0.319839, 0.082584, -0.041509, -0.070347, 0.008259, 0.33345, 0.065746, -0.31973], [-0.04229, -0.021812, 0.312421, -0.23057, -0.352242, -0.033427, -0.154505, -0.27241], [-0.051295, 0.095498, -0.33635, -0.017479, -0.058428, -0.088089, -0.269313, 0.012725], [0.061605, -0.279543, -0.177996, 0.257167, 0.381236, 0.002029, 0.281736, -0.162461], [0.519166, 0.142668, 0.332032, 0.388152, 0.460557, 0.227276, -0.205601, 0.15739], [0.215133, -0.159074, -0.318861, -0.084934, -0.087341, -0.051883, 0.160172, 0.155156], [-0.134836, 0.306625, -0.215226, -0.416427, -0.018935, 0.145884, 0.107669, 0.030479]], "network.10.bias": [0.091157, -0.01028, -0.082858, -0.249679, -0.281477, -0.144897, -0.309305, -0.523963], "network.12.weight": [[-0.174457, -0.158864, 0.062205, 0.263316, -0.267173, -0.276869, -0.273465, -0.100982]], "network.12.bias": [0.076863]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.708309143781662, "train_acc": 0.45, "val_loss": 0.6910955905914307, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6948620080947876, "train_acc": 0.595, "val_loss": 0.6601012945175171, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6448018848896027, "train_acc": 0.55, "val_loss": 0.5554479360580444, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5698553919792175, "train_acc": 0.485, "val_loss": 0.4771009683609009, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.49026910960674286, "train_acc": 0.835, "val_loss": 0.5250736474990845, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5233725011348724, "train_acc": 0.775, "val_loss": 0.5034201145172119, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4888518154621124, "train_acc": 0.77, "val_loss": 0.47716522216796875, "val_acc": 0.74}], "summary": {"total_epochs": 7, "degraded_epochs": 3, "improved_epochs": 4, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6910955905914307, "final_val_loss": 0.5554479360580444, "initial_val_acc": 0.54, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.4771009683609009, "final_val_loss": 0.47716522216796875, "initial_val_acc": 0.82, "final_val_acc": 0.74, "best_val_acc": 0.82, "best_epoch": 3}, "improvement": 0.2599999999999999, "first_improvement_epoch": 2}}
|
162
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.78, "improved_accuracy": 0.94, "improvement": 0.15999999999999992, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4975, "learning_rate": 0.05902390869243723, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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],
[
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],
[
0.665227,
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-0.503368,
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],
[
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0.0475
]
],
"network.0.bias": [
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],
"network.2.weight": [
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[
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[
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[
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0.040809
],
[
0.683419,
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]
],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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[
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[
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[
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],
"network.4.bias": [
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"network.6.weight": [
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[
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"network.8.weight": [
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"network.8.bias": [
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}
## Activation Signature
### 0
mean: [0.129833, -0.360501, -0.997244, 0.264346, -0.141882, -3.710530]
std: [1.778144, 1.527352, 1.300437, 1.246752, 1.821187, 2.468642]
pca: [[-0.492094, 0.202326, 0.363659, 0.054610, 0.752932, 0.121533, 0.000000, 0.000000, 0.000000, 0.000000], [0.246786, -0.136005, 0.891270, -0.174727, -0.249489, 0.182929, 0.000000, 0.000000, 0.000000, 0.000000], [-0.158213, 0.539021, -0.153961, -0.320153, -0.263514, 0.699131, 0.000000, 0.000000, 0.000000, 0.000000], [-0.317047, 0.104651, 0.137395, 0.842253, -0.382073, 0.119508, 0.000000, 0.000000, 0.000000, 0.000000], [-0.492922, 0.334006, 0.150068, -0.326820, -0.360371, -0.621505, 0.000000, 0.000000, 0.000000, 0.000000], [0.573078, 0.726299, 0.091044, 0.218606, 0.159879, -0.249864, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.715852, 29.018447, 30.053338, 30.938236, 31.309248], [23.623329, 23.828617, 23.996799, 27.263962, 32.445099], [19.872349, 20.262569, 21.139965, 21.703875, 89.751966], [19.936545, 20.423463, 21.973117, 22.475421, 23.791119], [27.313362, 27.498187, 29.072126, 29.384664, 32.611740], [40.315389, 41.290719, 42.857226, 45.947733, 333.947689]]
### 2
mean: [0.568672, 0.247391, -0.193751, 0.547467, 0.791058, 0.824516]
std: [1.009876, 0.809044, 0.479154, 0.754932, 1.717710, 1.744212]
pca: [[0.366289, 0.088549, 0.261958, -0.190656, 0.545166, 0.675140, 0.000000, 0.000000, 0.000000, 0.000000], [-0.198291, 0.623530, -0.053608, 0.664114, 0.353975, -0.051687, 0.000000, 0.000000, 0.000000, 0.000000], [-0.166106, -0.015999, 0.960558, 0.105161, -0.137144, -0.140046, 0.000000, 0.000000, 0.000000, 0.000000], [-0.120623, 0.709450, 0.003062, -0.419495, -0.493129, 0.250936, 0.000000, 0.000000, 0.000000, 0.000000], [0.625837, -0.036026, 0.009412, 0.521531, -0.528600, 0.235647, 0.000000, 0.000000, 0.000000, 0.000000], [0.626658, 0.313841, 0.075721, -0.252136, 0.189984, -0.635140, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.607950, 15.992624, 16.769009, 18.599412, 51.180443], [10.811623, 12.283180, 14.009348, 15.738839, 22.265145], [6.979580, 7.399186, 7.552403, 9.197238, 17.437629], [12.236747, 13.034457, 13.121835, 13.453900, 49.271986], [25.991012, 27.957641, 28.549070, 31.242099, 71.195244], [27.124186, 28.376643, 31.266766, 33.348946, 74.206484]]
### 4
mean: [0.239676, 1.002375, 0.428636, -0.993336, 1.026556, 0.272271]
std: [1.316210, 2.543085, 1.619720, 0.599558, 1.268571, 0.679640]
pca: [[0.379754, -0.042662, 0.644385, -0.332593, 0.568023, 0.073937, 0.000000, 0.000000, 0.000000, 0.000000], [0.712832, 0.546563, -0.074653, 0.006361, -0.375239, 0.216153, 0.000000, 0.000000, 0.000000, 0.000000], [-0.452463, 0.365985, -0.080842, -0.542684, 0.025879, 0.599685, 0.000000, 0.000000, 0.000000, 0.000000], [0.032206, -0.523780, 0.358638, 0.221112, -0.417712, 0.610428, 0.000000, 0.000000, 0.000000, 0.000000], [-0.343985, 0.387482, 0.661778, 0.051543, -0.416951, -0.342166, 0.000000, 0.000000, 0.000000, 0.000000], [-0.153533, 0.375523, 0.078026, 0.737081, 0.433064, 0.313830, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.205180, 21.564212, 21.570852, 21.724401, 22.238413], [37.973758, 40.408396, 42.020835, 46.698826, 90.213786], [23.251002, 24.405142, 26.378104, 29.541382, 38.577219], [10.442367, 11.465793, 11.618278, 12.324448, 89.400214], [17.990360, 19.279637, 20.899029, 22.903359, 92.390088], [9.876219, 11.566610, 11.869577, 11.969597, 24.504394]]
### 6
mean: [1.124683, 1.351000, 1.693279, -0.549406, -1.004977, 0.730625]
std: [2.251395, 2.139281, 2.936463, 0.272455, 0.694099, 1.784931]
pca: [[0.490690, -0.245325, -0.290380, 0.763129, 0.044775, 0.174207, 0.000000, 0.000000, 0.000000, 0.000000], [0.454766, 0.476124, -0.083019, -0.218503, 0.715020, 0.024569, 0.000000, 0.000000, 0.000000, 0.000000], [0.642123, 0.243110, 0.178085, -0.264311, -0.635594, 0.151730, 0.000000, 0.000000, 0.000000, 0.000000], [-0.045477, -0.152311, 0.698532, 0.083124, 0.214216, 0.658778, 0.000000, 0.000000, 0.000000, 0.000000], [0.080297, -0.521452, -0.495528, -0.515332, 0.065540, 0.454125, 0.000000, 0.000000, 0.000000, 0.000000], [-0.362731, 0.599089, -0.378917, 0.165995, -0.180494, 0.552999, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.050954, 35.889485, 37.042807, 37.934230, 101.221469], [31.816678, 34.434906, 36.763210, 37.241615, 121.589968], [42.267696, 44.011867, 48.769753, 51.518117, 152.395077], [4.184498, 4.377058, 5.035407, 5.040514, 49.446567], [10.444213, 11.380238, 12.253339, 15.402765, 90.447885], [26.493459, 27.747978, 30.335938, 31.979058, 65.756276]]
### 8
mean: [-4.460435]
std: [4.875424]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[72.112257, 79.154224, 83.770102, 86.758019, 401.439189]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.722979,
0.28585,
-0.276254,
-0.40535,
-0.025795
],
[
-0.009251,
-0.53418,
-0.103759,
0.116796,
0.626771
],
[
0.121572,
0.12616,
-0.236956,
-0.456564,
-0.342917
],
[
0.534803,
0.233951,
-0.344298,
-0.040519,
-0.109911
],
[
0.665227,
0.244126,
-0.186209,
-0.503368,
-0.246544
],
[
-0.713828,
-0.394381,
-0.57485,
-0.156455,
0.0475
]
],
"network.0.bias": [
0.187371,
-0.182333,
0.518557,
0.114152,
0.357914,
-0.625839
],
"network.2.weight": [
[
0.488272,
-0.206634,
0.657654,
0.14303,
0.117916,
-0.06506
],
[
0.320587,
0.698524,
-0.390443,
-0.565946,
-0.126468,
0.049067
],
[
-0.055473,
0.181629,
-0.120975,
0.269383,
-0.499705,
-0.057092
],
[
-0.133183,
0.805102,
-0.314221,
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0.343797,
-0.032651
],
[
0.622271,
-0.595276,
0.382614,
0.172005,
0.522961,
0.040809
],
[
0.683419,
-0.219307,
0.775387,
0.10088,
0.575667,
-0.461525
]
],
"network.2.bias": [
0.04057,
0.198498,
-0.05613,
0.302172,
0.086127,
-0.121669
],
"network.4.weight": [
[
-0.004356,
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-0.374448,
-0.240955,
0.468268,
0.177121
],
[
0.317549,
-0.351825,
-0.561314,
-0.293951,
0.71482,
0.568237
],
[
-0.458949,
0.5493,
0.504312,
0.856393,
-0.178865,
-0.162079
],
[
0.174067,
-0.245526,
-0.30405,
-0.505072,
-0.0059,
-0.266826
],
[
-0.233619,
0.635005,
0.514168,
0.631625,
0.162581,
-0.419263
],
[
-0.08748,
0.674624,
0.631445,
0.136422,
-0.017845,
-0.023971
]
],
"network.4.bias": [
0.014959,
-0.072321,
0.318178,
-0.450826,
0.788654,
-0.008936
],
"network.6.weight": [
[
-0.036581,
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0.379444,
0.21577,
0.553654,
0.300484
],
[
0.325815,
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0.842577,
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0.531934,
0.487196
],
[
-0.313687,
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0.938314,
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0.621079,
0.64587
],
[
-0.118452,
0.014895,
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0.404061
],
[
-0.385717,
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0.214049,
0.26719,
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],
[
0.5387,
0.454715,
-0.177865,
-0.235248,
0.100785,
-0.526382
]
],
"network.6.bias": [
0.85361,
0.238063,
0.726919,
-0.182049,
-0.255573,
0.077169
],
"network.8.weight": [
[
-0.94901,
-0.536857,
-0.88171,
-0.094932,
0.127817,
0.574303
]
],
"network.8.bias": [
-0.66307
]
}
## Activation Signature
### 0
mean: [0.129833, -0.360501, -0.997244, 0.264346, -0.141882, -3.710530]
std: [1.778144, 1.527352, 1.300437, 1.246752, 1.821187, 2.468642]
pca: [[-0.492094, 0.202326, 0.363659, 0.054610, 0.752932, 0.121533, 0.000000, 0.000000, 0.000000, 0.000000], [0.246786, -0.136005, 0.891270, -0.174727, -0.249489, 0.182929, 0.000000, 0.000000, 0.000000, 0.000000], [-0.158213, 0.539021, -0.153961, -0.320153, -0.263514, 0.699131, 0.000000, 0.000000, 0.000000, 0.000000], [-0.317047, 0.104651, 0.137395, 0.842253, -0.382073, 0.119508, 0.000000, 0.000000, 0.000000, 0.000000], [-0.492922, 0.334006, 0.150068, -0.326820, -0.360371, -0.621505, 0.000000, 0.000000, 0.000000, 0.000000], [0.573078, 0.726299, 0.091044, 0.218606, 0.159879, -0.249864, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.715852, 29.018447, 30.053338, 30.938236, 31.309248], [23.623329, 23.828617, 23.996799, 27.263962, 32.445099], [19.872349, 20.262569, 21.139965, 21.703875, 89.751966], [19.936545, 20.423463, 21.973117, 22.475421, 23.791119], [27.313362, 27.498187, 29.072126, 29.384664, 32.611740], [40.315389, 41.290719, 42.857226, 45.947733, 333.947689]]
### 2
mean: [0.568672, 0.247391, -0.193751, 0.547467, 0.791058, 0.824516]
std: [1.009876, 0.809044, 0.479154, 0.754932, 1.717710, 1.744212]
pca: [[0.366289, 0.088549, 0.261958, -0.190656, 0.545166, 0.675140, 0.000000, 0.000000, 0.000000, 0.000000], [-0.198291, 0.623530, -0.053608, 0.664114, 0.353975, -0.051687, 0.000000, 0.000000, 0.000000, 0.000000], [-0.166106, -0.015999, 0.960558, 0.105161, -0.137144, -0.140046, 0.000000, 0.000000, 0.000000, 0.000000], [-0.120623, 0.709450, 0.003062, -0.419495, -0.493129, 0.250936, 0.000000, 0.000000, 0.000000, 0.000000], [0.625837, -0.036026, 0.009412, 0.521531, -0.528600, 0.235647, 0.000000, 0.000000, 0.000000, 0.000000], [0.626658, 0.313841, 0.075721, -0.252136, 0.189984, -0.635140, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.607950, 15.992624, 16.769009, 18.599412, 51.180443], [10.811623, 12.283180, 14.009348, 15.738839, 22.265145], [6.979580, 7.399186, 7.552403, 9.197238, 17.437629], [12.236747, 13.034457, 13.121835, 13.453900, 49.271986], [25.991012, 27.957641, 28.549070, 31.242099, 71.195244], [27.124186, 28.376643, 31.266766, 33.348946, 74.206484]]
### 4
mean: [0.239676, 1.002375, 0.428636, -0.993336, 1.026556, 0.272271]
std: [1.316210, 2.543085, 1.619720, 0.599558, 1.268571, 0.679640]
pca: [[0.379754, -0.042662, 0.644385, -0.332593, 0.568023, 0.073937, 0.000000, 0.000000, 0.000000, 0.000000], [0.712832, 0.546563, -0.074653, 0.006361, -0.375239, 0.216153, 0.000000, 0.000000, 0.000000, 0.000000], [-0.452463, 0.365985, -0.080842, -0.542684, 0.025879, 0.599685, 0.000000, 0.000000, 0.000000, 0.000000], [0.032206, -0.523780, 0.358638, 0.221112, -0.417712, 0.610428, 0.000000, 0.000000, 0.000000, 0.000000], [-0.343985, 0.387482, 0.661778, 0.051543, -0.416951, -0.342166, 0.000000, 0.000000, 0.000000, 0.000000], [-0.153533, 0.375523, 0.078026, 0.737081, 0.433064, 0.313830, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.205180, 21.564212, 21.570852, 21.724401, 22.238413], [37.973758, 40.408396, 42.020835, 46.698826, 90.213786], [23.251002, 24.405142, 26.378104, 29.541382, 38.577219], [10.442367, 11.465793, 11.618278, 12.324448, 89.400214], [17.990360, 19.279637, 20.899029, 22.903359, 92.390088], [9.876219, 11.566610, 11.869577, 11.969597, 24.504394]]
### 6
mean: [1.124683, 1.351000, 1.693279, -0.549406, -1.004977, 0.730625]
std: [2.251395, 2.139281, 2.936463, 0.272455, 0.694099, 1.784931]
pca: [[0.490690, -0.245325, -0.290380, 0.763129, 0.044775, 0.174207, 0.000000, 0.000000, 0.000000, 0.000000], [0.454766, 0.476124, -0.083019, -0.218503, 0.715020, 0.024569, 0.000000, 0.000000, 0.000000, 0.000000], [0.642123, 0.243110, 0.178085, -0.264311, -0.635594, 0.151730, 0.000000, 0.000000, 0.000000, 0.000000], [-0.045477, -0.152311, 0.698532, 0.083124, 0.214216, 0.658778, 0.000000, 0.000000, 0.000000, 0.000000], [0.080297, -0.521452, -0.495528, -0.515332, 0.065540, 0.454125, 0.000000, 0.000000, 0.000000, 0.000000], [-0.362731, 0.599089, -0.378917, 0.165995, -0.180494, 0.552999, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.050954, 35.889485, 37.042807, 37.934230, 101.221469], [31.816678, 34.434906, 36.763210, 37.241615, 121.589968], [42.267696, 44.011867, 48.769753, 51.518117, 152.395077], [4.184498, 4.377058, 5.035407, 5.040514, 49.446567], [10.444213, 11.380238, 12.253339, 15.402765, 90.447885], [26.493459, 27.747978, 30.335938, 31.979058, 65.756276]]
### 8
mean: [-4.460435]
std: [4.875424]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[72.112257, 79.154224, 83.770102, 86.758019, 401.439189]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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"5": {"mean": 0.7306252121925354, "std": 1.7849310636520386, "pca": [-0.3627309203147888, 0.5990892052650452, -0.37891674041748047, 0.16599461436271667, -0.1804937869310379, 0.5529993772506714, 0.0, 0.0, 0.0, 0.0], "fourier": [26.493458983311996, 27.747977879980418, 30.335937669248043, 31.979058385250955, 65.7562755048275]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -4.460434913635254, "std": 4.875424385070801, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [72.11225737456381, 79.15422352510386, 83.77010195281667, 86.75801895484243, 401.4391887485981]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.722979, 0.28585, -0.276254, -0.40535, -0.025795], [-0.009251, -0.53418, -0.103759, 0.116796, 0.626771], [0.121572, 0.12616, -0.236956, -0.456564, -0.342917], [0.534803, 0.233951, -0.344298, -0.040519, -0.109911], [0.665227, 0.244126, -0.186209, -0.503368, -0.246544], [-0.713828, -0.394381, -0.57485, -0.156455, 0.0475]], "network.0.bias": [0.187371, -0.182333, 0.518557, 0.114152, 0.357914, -0.625839], "network.2.weight": [[0.488272, -0.206634, 0.657654, 0.14303, 0.117916, -0.06506], [0.320587, 0.698524, -0.390443, -0.565946, -0.126468, 0.049067], [-0.055473, 0.181629, -0.120975, 0.269383, -0.499705, -0.057092], [-0.133183, 0.805102, -0.314221, -0.257242, 0.343797, -0.032651], [0.622271, -0.595276, 0.382614, 0.172005, 0.522961, 0.040809], [0.683419, -0.219307, 0.775387, 0.10088, 0.575667, -0.461525]], "network.2.bias": [0.04057, 0.198498, -0.05613, 0.302172, 0.086127, -0.121669], "network.4.weight": [[-0.004356, -0.58248, -0.374448, -0.240955, 0.468268, 0.177121], [0.317549, -0.351825, -0.561314, -0.293951, 0.71482, 0.568237], [-0.458949, 0.5493, 0.504312, 0.856393, -0.178865, -0.162079], [0.174067, -0.245526, -0.30405, -0.505072, -0.0059, -0.266826], [-0.233619, 0.635005, 0.514168, 0.631625, 0.162581, -0.419263], [-0.08748, 0.674624, 0.631445, 0.136422, -0.017845, -0.023971]], "network.4.bias": [0.014959, -0.072321, 0.318178, -0.450826, 0.788654, -0.008936], "network.6.weight": [[-0.036581, -0.608799, 0.379444, 0.21577, 0.553654, 0.300484], [0.325815, -0.422515, 0.842577, -0.046189, 0.531934, 0.487196], [-0.313687, -0.452682, 0.938314, -0.159016, 0.621079, 0.64587], [-0.118452, 0.014895, -0.346, -0.106357, -0.156853, 0.404061], [-0.385717, -0.166389, 0.214049, 0.26719, -0.343307, -0.303826], [0.5387, 0.454715, -0.177865, -0.235248, 0.100785, -0.526382]], "network.6.bias": [0.85361, 0.238063, 0.726919, -0.182049, -0.255573, 0.077169], "network.8.weight": [[-0.94901, -0.536857, -0.88171, -0.094932, 0.127817, 0.574303]], "network.8.bias": [-0.66307]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6748575866222382, "train_acc": 0.605, "val_loss": 0.6388840079307556, "val_acc": 0.78}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6141875386238098, "train_acc": 0.775, "val_loss": 0.5567623376846313, "val_acc": 0.78}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.513032853603363, "train_acc": 0.875, "val_loss": 0.48213455080986023, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.44050607085227966, "train_acc": 0.855, "val_loss": 0.40535372495651245, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.33025574684143066, "train_acc": 0.89, "val_loss": 0.39344292879104614, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.33347244560718536, "train_acc": 0.91, "val_loss": 0.3297685384750366, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.28368231654167175, "train_acc": 0.925, "val_loss": 0.34079962968826294, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2731207609176636, "train_acc": 0.915, "val_loss": 0.3062440752983093, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2655305415391922, "train_acc": 0.93, "val_loss": 0.2891300320625305, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.25067224353551865, "train_acc": 0.93, "val_loss": 0.2819196581840515, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2497134655714035, "train_acc": 0.935, "val_loss": 0.2709190845489502, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.251776322722435, "train_acc": 0.935, "val_loss": 0.26930055022239685, "val_acc": 0.92}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6388840079307556, "final_val_loss": 0.5567623376846313, "initial_val_acc": 0.78, "final_val_acc": 0.78, "best_val_acc": 0.78}, "improved_stage": {"initial_val_loss": 0.48213455080986023, "final_val_loss": 0.26930055022239685, "initial_val_acc": 0.82, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 7}, "improvement": 0.15999999999999992, "first_improvement_epoch": 1}}
|
163
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{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.64, "improved_accuracy": 0.84, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4142, "learning_rate": 0.014624247186115873, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.45283,
-0.083932,
0.18518
]
],
"network.8.bias": [
-0.552359
]
}
## Activation Signature
### 0
mean: [-0.266196, 0.208582, 0.315906, -1.406429, 1.699509]
std: [1.382295, 1.536626, 0.802537, 1.225264, 1.452246]
pca: [[-0.530886, -0.140397, 0.730500, 0.395180, -0.093017, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.386039, 0.808045, 0.083796, -0.417132, -0.130445, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.028080, 0.386671, -0.403802, 0.780735, -0.277660, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.519731, -0.036202, -0.339729, 0.099738, 0.776663, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.546100, 0.420151, 0.425296, 0.224365, 0.542247, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.718455, 21.906517, 23.957661, 24.712536, 26.697876], [22.074899, 24.911728, 25.398621, 26.406129, 27.516799], [13.449101, 15.193606, 15.223999, 20.911047, 28.431527], [20.168399, 20.510635, 21.727416, 23.350373, 126.578601], [24.808987, 25.050095, 25.489223, 27.517972, 152.955777]]
### 2
mean: [-0.684308, -0.094236, -0.971374, -0.636822, 0.017814]
std: [0.543212, 0.681276, 0.530897, 1.343051, 0.979491]
pca: [[-0.017509, 0.803988, -0.441813, 0.132485, 0.374893, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.364462, -0.209448, 0.163462, -0.397256, 0.799229, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.242249, 0.414919, 0.821861, 0.305582, -0.017937, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.731025, 0.206648, -0.170150, -0.429360, -0.457819, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.523239, -0.308015, -0.271431, 0.739530, 0.103773, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.854228, 10.185607, 11.686570, 12.072639, 61.587679], [9.534476, 9.556455, 10.062500, 10.497930, 13.492438], [8.750911, 9.011596, 9.659401, 9.786395, 87.423646], [19.086871, 21.670369, 24.855825, 26.399194, 57.313999], [13.638556, 14.061380, 15.457723, 15.696931, 18.302740]]
### 4
mean: [0.091244, -0.500160, 0.120171, -0.375884, -0.078880]
std: [0.388166, 0.446762, 0.717447, 0.345044, 0.532894]
pca: [[-0.344726, 0.354929, 0.151549, 0.720465, 0.461685, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.396281, -0.438006, 0.792692, -0.049204, -0.142585, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.638311, -0.275538, 0.282933, -0.040959, 0.659477, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.305373, 0.506781, 0.156473, -0.683557, 0.397727, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.472685, 0.591124, 0.494103, 0.097885, -0.416439, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.752272, 5.841166, 5.920433, 6.786510, 8.212005], [6.403227, 6.471990, 7.129037, 7.494109, 45.014436], [10.519301, 10.651845, 10.815400, 11.188441, 12.350475], [5.056307, 5.140880, 5.412891, 6.110596, 33.829526], [7.430907, 7.597664, 8.044493, 8.764423, 8.850924]]
### 6
mean: [0.177732, -0.090479, 0.021983, -0.414073, 0.441327]
std: [0.373527, 0.115218, 0.189745, 0.020560, 0.457350]
pca: [[0.593441, -0.135642, 0.069656, 0.583362, 0.533166, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.182421, 0.064306, -0.457411, 0.710627, -0.498369, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.294448, 0.930860, 0.173764, 0.013306, -0.128178, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.010119, -0.223255, 0.831462, 0.245610, -0.445423, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.726463, -0.247231, -0.253772, -0.306913, -0.502526, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.234319, 5.469232, 5.931850, 6.086950, 15.995919], [1.641138, 1.707005, 1.860037, 1.911325, 8.143083], [2.571402, 2.659072, 2.702434, 2.750442, 3.047793], [0.320700, 0.352555, 0.362460, 0.371119, 37.266595], [6.449030, 6.734789, 7.191047, 7.496434, 39.719440]]
### 8
mean: [-0.353379]
std: [0.360524]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.145949, 5.178078, 5.692341, 5.779856, 31.804146]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.497746,
0.128822,
-0.263377,
-0.06122,
0.578685
],
[
0.207155,
-0.576401,
-0.0352,
0.095476,
0.601996
],
[
0.01613,
-0.388022,
0.312226,
0.168454,
-0.006425
],
[
-0.308603,
-0.299195,
-0.22031,
-0.073178,
0.292605
],
[
0.432836,
0.091905,
0.392926,
0.254747,
-0.19626
]
],
"network.0.bias": [
0.086216,
0.127446,
-0.002626,
-0.220939,
-0.131618
],
"network.2.weight": [
[
-0.013373,
-0.405235,
0.208098,
-0.364254,
-0.265174
],
[
0.163444,
0.380319,
-0.049714,
0.469245,
-0.241729
],
[
0.058273,
-0.012678,
-0.074907,
0.514393,
-0.330308
],
[
0.40736,
0.426636,
0.083922,
0.515488,
-0.689696
],
[
0.386389,
0.555784,
-0.091134,
-0.115491,
-0.332566
]
],
"network.2.bias": [
-0.042729,
0.020682,
-0.396293,
0.064904,
0.133508
],
"network.4.weight": [
[
-0.504755,
-0.445624,
0.059656,
-0.020394,
-0.228434
],
[
-0.204741,
-0.378695,
-0.100667,
-0.281472,
-0.107549
],
[
0.07186,
0.447987,
0.089302,
0.175653,
0.538923
],
[
0.273962,
-0.409627,
-0.197883,
0.055024,
-0.249665
],
[
0.088447,
-0.046556,
0.05454,
0.404421,
0.398824
]
],
"network.4.bias": [
0.274556,
-0.307636,
-0.219758,
-0.210024,
-0.321485
],
"network.6.weight": [
[
-0.132472,
0.402799,
0.408161,
0.106565,
0.216903
],
[
0.195931,
0.068106,
-0.006502,
0.274259,
-0.216515
],
[
0.306147,
0.319823,
0.11792,
0.054964,
0.297745
],
[
-0.372159,
-0.217411,
-0.211151,
0.169097,
0.263629
],
[
-0.083005,
-0.132773,
0.596654,
0.145507,
0.13513
]
],
"network.6.bias": [
0.065111,
-0.095576,
-0.113383,
-0.324113,
0.281664
],
"network.8.weight": [
[
0.525349,
-0.014277,
0.45283,
-0.083932,
0.18518
]
],
"network.8.bias": [
-0.552359
]
}
## Activation Signature
### 0
mean: [-0.266196, 0.208582, 0.315906, -1.406429, 1.699509]
std: [1.382295, 1.536626, 0.802537, 1.225264, 1.452246]
pca: [[-0.530886, -0.140397, 0.730500, 0.395180, -0.093017, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.386039, 0.808045, 0.083796, -0.417132, -0.130445, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.028080, 0.386671, -0.403802, 0.780735, -0.277660, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.519731, -0.036202, -0.339729, 0.099738, 0.776663, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.546100, 0.420151, 0.425296, 0.224365, 0.542247, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.718455, 21.906517, 23.957661, 24.712536, 26.697876], [22.074899, 24.911728, 25.398621, 26.406129, 27.516799], [13.449101, 15.193606, 15.223999, 20.911047, 28.431527], [20.168399, 20.510635, 21.727416, 23.350373, 126.578601], [24.808987, 25.050095, 25.489223, 27.517972, 152.955777]]
### 2
mean: [-0.684308, -0.094236, -0.971374, -0.636822, 0.017814]
std: [0.543212, 0.681276, 0.530897, 1.343051, 0.979491]
pca: [[-0.017509, 0.803988, -0.441813, 0.132485, 0.374893, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.364462, -0.209448, 0.163462, -0.397256, 0.799229, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.242249, 0.414919, 0.821861, 0.305582, -0.017937, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.731025, 0.206648, -0.170150, -0.429360, -0.457819, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.523239, -0.308015, -0.271431, 0.739530, 0.103773, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.854228, 10.185607, 11.686570, 12.072639, 61.587679], [9.534476, 9.556455, 10.062500, 10.497930, 13.492438], [8.750911, 9.011596, 9.659401, 9.786395, 87.423646], [19.086871, 21.670369, 24.855825, 26.399194, 57.313999], [13.638556, 14.061380, 15.457723, 15.696931, 18.302740]]
### 4
mean: [0.091244, -0.500160, 0.120171, -0.375884, -0.078880]
std: [0.388166, 0.446762, 0.717447, 0.345044, 0.532894]
pca: [[-0.344726, 0.354929, 0.151549, 0.720465, 0.461685, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.396281, -0.438006, 0.792692, -0.049204, -0.142585, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.638311, -0.275538, 0.282933, -0.040959, 0.659477, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.305373, 0.506781, 0.156473, -0.683557, 0.397727, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.472685, 0.591124, 0.494103, 0.097885, -0.416439, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.752272, 5.841166, 5.920433, 6.786510, 8.212005], [6.403227, 6.471990, 7.129037, 7.494109, 45.014436], [10.519301, 10.651845, 10.815400, 11.188441, 12.350475], [5.056307, 5.140880, 5.412891, 6.110596, 33.829526], [7.430907, 7.597664, 8.044493, 8.764423, 8.850924]]
### 6
mean: [0.177732, -0.090479, 0.021983, -0.414073, 0.441327]
std: [0.373527, 0.115218, 0.189745, 0.020560, 0.457350]
pca: [[0.593441, -0.135642, 0.069656, 0.583362, 0.533166, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.182421, 0.064306, -0.457411, 0.710627, -0.498369, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.294448, 0.930860, 0.173764, 0.013306, -0.128178, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.010119, -0.223255, 0.831462, 0.245610, -0.445423, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.726463, -0.247231, -0.253772, -0.306913, -0.502526, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.234319, 5.469232, 5.931850, 6.086950, 15.995919], [1.641138, 1.707005, 1.860037, 1.911325, 8.143083], [2.571402, 2.659072, 2.702434, 2.750442, 3.047793], [0.320700, 0.352555, 0.362460, 0.371119, 37.266595], [6.449030, 6.734789, 7.191047, 7.496434, 39.719440]]
### 8
mean: [-0.353379]
std: [0.360524]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.145949, 5.178078, 5.692341, 5.779856, 31.804146]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.26619622111320496, "std": 1.3822954893112183, "pca": [-0.5308856964111328, -0.14039704203605652, 0.7304996252059937, 0.39518001675605774, -0.09301669150590897, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [20.718454727743996, 21.906516554969514, 23.95766095817089, 24.712535847100256, 26.6978762545585]}, "1": {"mean": 0.20858226716518402, "std": 1.5366257429122925, "pca": [-0.38603895902633667, 0.8080453872680664, 0.083796426653862, -0.41713181138038635, -0.13044455647468567, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [22.074898938466003, 24.911728444914658, 25.398620969170555, 26.406128869191765, 27.516798871555835]}, "2": {"mean": 0.3159058392047882, "std": 0.8025372624397278, "pca": [-0.028079502284526825, 0.38667064905166626, -0.4038020670413971, 0.7807345390319824, -0.2776595950126648, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [13.449100986629244, 15.193605860392514, 15.22399916890259, 20.911046923083088, 28.431526716332883]}, "3": {"mean": -1.4064289331436157, "std": 1.2252644300460815, "pca": [-0.5197309255599976, -0.036202043294906616, -0.3397294878959656, 0.09973805397748947, 0.7766630053520203, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [20.16839916123456, 20.510635271391703, 21.72741577645332, 23.35037256708395, 126.57860091328621]}, "4": {"mean": 1.699508547782898, "std": 1.452245831489563, "pca": [0.546100378036499, 0.42015063762664795, 0.42529550194740295, 0.22436514496803284, 0.5422470569610596, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [24.80898703314519, 25.0500945078743, 25.48922257396428, 27.517971543758694, 152.95577723532915]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": -0.6843075752258301, "std": 0.5432119369506836, "pca": [-0.017509397119283676, 0.8039883971214294, -0.44181302189826965, 0.1324850171804428, 0.374893456697464, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [8.854228047504225, 10.185606608955553, 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{"mean": 0.01781352609395981, "std": 0.9794911742210388, "pca": [0.5232385993003845, -0.3080148994922638, -0.2714307904243469, 0.739530086517334, 0.10377258062362671, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [13.638556079483623, 14.06138046174415, 15.457722567122932, 15.696930690777124, 18.302740371520542]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "4": {"neuron_profiles": {"0": {"mean": 0.09124447405338287, "std": 0.38816648721694946, "pca": [-0.34472641348838806, 0.3549288511276245, 0.15154890716075897, 0.7204647064208984, 0.4616847038269043, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [5.752271793035294, 5.841165581561984, 5.920432566702729, 6.786509657285487, 8.212005257606506]}, "1": {"mean": -0.5001604557037354, "std": 0.4467620253562927, "pca": [-0.39628133177757263, -0.4380062222480774, 0.7926917672157288, -0.04920445755124092, -0.14258453249931335, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [6.403227013569237, 6.4719904095155965, 7.1290374177926665, 7.49410940002494, 45.0144357085228]}, "2": {"mean": 0.12017109990119934, "std": 0.7174469828605652, "pca": [0.6383105516433716, -0.2755383849143982, 0.28293323516845703, -0.040958911180496216, 0.6594765782356262, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [10.519301149700192, 10.651845163098354, 10.815399527549744, 11.188440834399582, 12.350475484009793]}, "3": {"mean": -0.3758836090564728, "std": 0.3450436592102051, "pca": [-0.30537334084510803, 0.5067805051803589, 0.15647299587726593, -0.6835572123527527, 0.39772653579711914, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [5.056307442605325, 5.140880294003713, 5.4128909057102135, 6.110596002395771, 33.82952553033829]}, "4": {"mean": -0.07888028770685196, "std": 0.5328940749168396, "pca": [0.47268548607826233, 0.5911244750022888, 0.49410292506217957, 0.0978848785161972, -0.41643860936164856, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [7.430906845806423, 7.597663558034048, 8.044493388041627, 8.764423057211939, 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[2.571401536718619, 2.6590716332050537, 2.7024337737355113, 2.750442064134502, 3.047792569848319]}, "3": {"mean": -0.41407325863838196, "std": 0.020560480654239655, "pca": [0.010119052603840828, -0.22325462102890015, 0.831462025642395, 0.245610311627388, -0.44542279839515686, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [0.3207004773066631, 0.3525546324390438, 0.3624603283595735, 0.3711187361452139, 37.26659521460533]}, "4": {"mean": 0.44132712483406067, "std": 0.4573501646518707, "pca": [0.7264630198478699, -0.24723149836063385, -0.25377240777015686, -0.306912899017334, -0.5025256872177124, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [6.449029698068708, 6.7347894164328705, 7.191047074843408, 7.49643377252871, 39.7194402217865]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -0.35337936878204346, "std": 0.36052417755126953, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [5.145948528169936, 5.178078228749226, 5.6923412500754, 5.779856236554673, 31.804146230220795]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.497746, 0.128822, -0.263377, -0.06122, 0.578685], [0.207155, -0.576401, -0.0352, 0.095476, 0.601996], [0.01613, -0.388022, 0.312226, 0.168454, -0.006425], [-0.308603, -0.299195, -0.22031, -0.073178, 0.292605], [0.432836, 0.091905, 0.392926, 0.254747, -0.19626]], "network.0.bias": [0.086216, 0.127446, -0.002626, -0.220939, -0.131618], "network.2.weight": [[-0.013373, -0.405235, 0.208098, -0.364254, -0.265174], [0.163444, 0.380319, -0.049714, 0.469245, -0.241729], [0.058273, -0.012678, -0.074907, 0.514393, -0.330308], [0.40736, 0.426636, 0.083922, 0.515488, -0.689696], [0.386389, 0.555784, -0.091134, -0.115491, -0.332566]], "network.2.bias": [-0.042729, 0.020682, -0.396293, 0.064904, 0.133508], "network.4.weight": [[-0.504755, -0.445624, 0.059656, -0.020394, -0.228434], [-0.204741, -0.378695, -0.100667, -0.281472, -0.107549], [0.07186, 0.447987, 0.089302, 0.175653, 0.538923], [0.273962, -0.409627, -0.197883, 0.055024, -0.249665], [0.088447, -0.046556, 0.05454, 0.404421, 0.398824]], "network.4.bias": [0.274556, -0.307636, -0.219758, -0.210024, -0.321485], "network.6.weight": [[-0.132472, 0.402799, 0.408161, 0.106565, 0.216903], [0.195931, 0.068106, -0.006502, 0.274259, -0.216515], [0.306147, 0.319823, 0.11792, 0.054964, 0.297745], [-0.372159, -0.217411, -0.211151, 0.169097, 0.263629], [-0.083005, -0.132773, 0.596654, 0.145507, 0.13513]], "network.6.bias": [0.065111, -0.095576, -0.113383, -0.324113, 0.281664], "network.8.weight": [[0.525349, -0.014277, 0.45283, -0.083932, 0.18518]], "network.8.bias": [-0.552359]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6917845010757446, "train_acc": 0.565, "val_loss": 0.6885592937469482, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6775557398796082, "train_acc": 0.565, "val_loss": 0.6788877844810486, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6603565216064453, "train_acc": 0.565, "val_loss": 0.6642637848854065, "val_acc": 0.6}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6466125547885895, "train_acc": 0.715, "val_loss": 0.6442266702651978, "val_acc": 0.64}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6095277667045593, "train_acc": 0.82, "val_loss": 0.6218922734260559, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5680727064609528, "train_acc": 0.815, "val_loss": 0.6135110259056091, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5374849140644073, "train_acc": 0.815, "val_loss": 0.616030216217041, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5161933451890945, "train_acc": 0.815, "val_loss": 0.598385214805603, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5089842528104782, "train_acc": 0.84, "val_loss": 0.5696023106575012, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.4912778288125992, "train_acc": 0.845, "val_loss": 0.547974169254303, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.48161059617996216, "train_acc": 0.85, "val_loss": 0.5312407612800598, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.47679151594638824, "train_acc": 0.85, "val_loss": 0.5175118446350098, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.4576261192560196, "train_acc": 0.85, "val_loss": 0.5040462017059326, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.4454702287912369, "train_acc": 0.855, "val_loss": 0.4899581968784332, "val_acc": 0.84}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6885592937469482, "final_val_loss": 0.6442266702651978, "initial_val_acc": 0.54, "final_val_acc": 0.64, "best_val_acc": 0.64}, "improved_stage": {"initial_val_loss": 0.6218922734260559, "final_val_loss": 0.4899581968784332, "initial_val_acc": 0.78, "final_val_acc": 0.84, "best_val_acc": 0.84, "best_epoch": 9}, "improvement": 0.19999999999999996, "first_improvement_epoch": 3}}
|
164
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.72, "improved_accuracy": 0.9, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6438, "learning_rate": 0.06514364840632723, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.61859,
0.061133,
0.084696,
0.06854,
1.740045
],
[
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0.654279,
0.533114,
0.186076,
-0.772638
],
[
0.012131,
-0.242024,
-0.777955,
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0.433558
],
[
0.244132,
0.308898,
-0.138181,
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0.365543
],
[
0.333047,
-0.866156,
0.067802,
0.237269,
-0.83058
]
],
"network.0.bias": [
0.162583,
0.503544,
-0.665661,
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0.371524
],
"network.2.weight": [
[
0.030124,
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-0.281991,
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],
[
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0.588491,
0.562366,
-0.10199,
0.790848
],
[
0.410622,
0.513057,
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0.093006,
0.377626
],
[
-0.725756,
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-0.605992,
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-0.012948
],
[
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0.204403,
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0.207726
]
],
"network.2.bias": [
-0.079307,
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-0.262314,
0.210313,
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],
"network.4.weight": [
[
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],
[
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],
[
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0.577767,
0.026909,
0.665662
],
[
-0.281341,
0.769991,
0.312167,
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],
[
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0.327198,
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0.398902
]
],
"network.4.bias": [
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0.703439,
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0.148347
],
"network.6.weight": [
[
0.479189,
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0.283525,
0.059206
],
[
0.461288,
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0.554389,
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],
[
0.880349,
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0.120485
],
[
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],
[
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]
],
"network.6.bias": [
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],
"network.8.weight": [
[
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],
[
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],
[
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],
[
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],
[
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]
],
"network.8.bias": [
0.141007,
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],
"network.10.weight": [
[
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],
[
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],
[
0.26758,
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],
[
0.190801,
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],
[
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]
],
"network.10.bias": [
1.013631,
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],
"network.12.weight": [
[
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]
],
"network.12.bias": [
0.145551
]
}
## Activation Signature
### 0
mean: [3.513738, 1.922562, -3.900471, -0.926760, -1.166288]
std: [3.738978, 2.143254, 2.415148, 1.569099, 1.904524]
pca: [[0.874211, -0.236861, 0.226350, 0.169769, 0.315589, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.304050, -0.510970, -0.430046, 0.257525, 0.628653, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.098151, 0.771374, -0.249525, -0.138172, 0.560353, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.203639, 0.203394, -0.544577, 0.684878, -0.389281, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.303656, 0.215453, 0.636395, 0.645530, 0.199160, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[59.332023, 66.080663, 79.145094, 84.932617, 316.236433], [34.721770, 35.024240, 35.975576, 37.921251, 173.030541], [35.291580, 39.050045, 39.728159, 41.125184, 351.042374], [22.223582, 22.666047, 23.961407, 24.939060, 83.408393], [30.358101, 30.433897, 35.145998, 36.951614, 104.965885]]
### 2
mean: [-1.011286, -0.430409, 2.303084, -2.389968, -3.060867]
std: [0.933078, 3.000545, 1.487330, 2.761152, 3.449857]
pca: [[-0.085991, -0.519885, 0.659671, 0.491124, 0.214375, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.538532, 0.472079, -0.115224, 0.650494, 0.225179, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.201236, 0.654536, 0.620358, -0.286292, 0.253535, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.504755, -0.276734, -0.032028, -0.457149, 0.677221, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.638212, -0.043145, 0.407048, -0.211439, -0.616789, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.718300, 14.881821, 15.556212, 16.642691, 91.015741], [43.532112, 44.246096, 53.207620, 62.172069, 67.309774], [24.762066, 25.071505, 25.655529, 33.034857, 207.277518], [44.637897, 49.786659, 58.153742, 62.138184, 215.097085], [55.170082, 56.648750, 73.060664, 78.711358, 275.478040]]
### 4
mean: [-2.199270, 1.381716, 0.767482, 1.226692, 0.465235]
std: [1.188486, 0.931478, 1.095434, 1.033217, 0.757512]
pca: [[0.582805, -0.318658, -0.203722, 0.631111, 0.344953, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.480956, -0.018548, -0.111254, 0.688841, -0.530527, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.342967, 0.743742, -0.530945, 0.006271, -0.217440, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.465490, 0.431566, 0.007495, 0.250710, 0.730861, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.307754, 0.398387, 0.814961, 0.253580, -0.134577, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.928973, 18.237608, 20.501993, 22.021209, 197.934259], [13.865633, 14.144413, 17.879594, 19.497540, 124.354441], [18.870783, 20.714775, 22.086571, 24.459185, 69.073388], [15.379086, 15.406339, 15.650141, 17.727243, 110.402278], [12.845185, 13.465824, 14.364454, 16.992599, 41.871180]]
### 6
mean: [-1.200588, 0.951258, -1.262143, 0.274540, 0.524845]
std: [0.140782, 2.122977, 0.340193, 1.411712, 2.121849]
pca: [[0.023373, 0.325761, 0.697595, 0.189356, -0.608966, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.638886, -0.312844, -0.370638, 0.400575, -0.442856, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.045178, 0.862836, -0.432318, 0.253711, 0.046954, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.424875, -0.200417, 0.078610, 0.848561, 0.230389, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.639311, 0.106559, 0.427681, 0.138779, 0.614618, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.136119, 2.170122, 2.658794, 2.987083, 108.052921], [32.507172, 34.868358, 40.474108, 46.458793, 85.613197], [5.323301, 5.398244, 6.033852, 7.459915, 113.592894], [21.539761, 24.708599, 24.745497, 26.440342, 31.162497], [32.349801, 36.545043, 40.005938, 46.687701, 47.236043]]
### 8
mean: [0.782103, -0.798228, 0.116499, 0.755134, 0.552795]
std: [2.074925, 3.350290, 1.757787, 1.947115, 0.378343]
pca: [[-0.436376, -0.495843, 0.413586, 0.163802, -0.604840, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.707969, -0.282774, 0.626956, -0.105024, 0.121302, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.370885, -0.266271, -0.386670, 0.795211, -0.098341, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.411559, -0.130541, 0.330084, 0.400006, 0.737983, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.037683, 0.765661, 0.421193, 0.412037, -0.255274, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.681044, 32.182558, 38.705963, 45.522524, 70.389229], [48.121871, 50.714338, 61.795437, 71.000728, 71.840494], [24.551716, 25.550511, 26.649835, 32.204558, 36.836564], [28.274046, 29.649853, 36.127994, 41.970085, 67.962032], [5.821534, 7.344690, 7.434227, 8.196330, 49.751585]]
### 10
mean: [0.783471, 0.491845, -0.010632, -1.092838, 0.254646]
std: [4.579617, 2.273030, 1.624948, 0.633075, 2.359691]
pca: [[0.778333, -0.062107, 0.605472, -0.035494, -0.149945, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.385571, -0.395609, -0.356155, 0.415444, 0.628799, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.275578, -0.210525, 0.296988, 0.822656, -0.338779, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.099078, 0.713973, 0.349999, 0.247476, 0.544685, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.399715, -0.534376, 0.543926, -0.296883, 0.413129, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[66.356568, 67.986215, 70.512360, 84.192464, 102.724727], [33.593546, 33.619301, 41.564599, 44.266080, 52.054058], [22.792191, 23.514608, 23.976167, 29.638427, 36.470721], [10.492760, 10.667410, 10.919115, 15.964182, 98.355457], [33.644237, 34.619714, 34.949033, 42.858659, 51.462624]]
### 12
mean: [-2.980420]
std: [4.319173]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[68.763273, 69.135496, 76.894140, 106.413454, 268.237828]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.61859,
0.061133,
0.084696,
0.06854,
1.740045
],
[
-0.267549,
0.654279,
0.533114,
0.186076,
-0.772638
],
[
0.012131,
-0.242024,
-0.777955,
-0.801394,
0.433558
],
[
0.244132,
0.308898,
-0.138181,
-0.682487,
0.365543
],
[
0.333047,
-0.866156,
0.067802,
0.237269,
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]
],
"network.0.bias": [
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0.503544,
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0.371524
],
"network.2.weight": [
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],
[
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0.588491,
0.562366,
-0.10199,
0.790848
],
[
0.410622,
0.513057,
-0.452901,
0.093006,
0.377626
],
[
-0.725756,
-0.04665,
-0.605992,
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],
[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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0.878856,
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],
[
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-0.033026,
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],
[
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0.026909,
0.665662
],
[
-0.281341,
0.769991,
0.312167,
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],
[
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]
],
"network.4.bias": [
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0.703439,
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0.148347
],
"network.6.weight": [
[
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0.283525,
0.059206
],
[
0.461288,
0.835916,
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0.554389,
-0.437999
],
[
0.880349,
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0.120485
],
[
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],
[
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0.701179,
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]
],
"network.6.bias": [
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0.281798,
0.191396
],
"network.8.weight": [
[
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0.443142
],
[
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0.571574,
-0.480514
],
[
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[
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0.42513
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[
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]
],
"network.8.bias": [
0.141007,
0.858902,
0.753951,
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0.028102
],
"network.10.weight": [
[
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0.867528,
1.096574,
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0.497508
],
[
-0.444804,
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1.282251,
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0.146907
],
[
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0.385602,
0.473888
],
[
0.190801,
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0.008683
],
[
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0.291191
]
],
"network.10.bias": [
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0.04712,
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-0.065597
],
"network.12.weight": [
[
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0.619484
]
],
"network.12.bias": [
0.145551
]
}
## Activation Signature
### 0
mean: [3.513738, 1.922562, -3.900471, -0.926760, -1.166288]
std: [3.738978, 2.143254, 2.415148, 1.569099, 1.904524]
pca: [[0.874211, -0.236861, 0.226350, 0.169769, 0.315589, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.304050, -0.510970, -0.430046, 0.257525, 0.628653, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.098151, 0.771374, -0.249525, -0.138172, 0.560353, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.203639, 0.203394, -0.544577, 0.684878, -0.389281, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.303656, 0.215453, 0.636395, 0.645530, 0.199160, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[59.332023, 66.080663, 79.145094, 84.932617, 316.236433], [34.721770, 35.024240, 35.975576, 37.921251, 173.030541], [35.291580, 39.050045, 39.728159, 41.125184, 351.042374], [22.223582, 22.666047, 23.961407, 24.939060, 83.408393], [30.358101, 30.433897, 35.145998, 36.951614, 104.965885]]
### 2
mean: [-1.011286, -0.430409, 2.303084, -2.389968, -3.060867]
std: [0.933078, 3.000545, 1.487330, 2.761152, 3.449857]
pca: [[-0.085991, -0.519885, 0.659671, 0.491124, 0.214375, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.538532, 0.472079, -0.115224, 0.650494, 0.225179, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.201236, 0.654536, 0.620358, -0.286292, 0.253535, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.504755, -0.276734, -0.032028, -0.457149, 0.677221, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.638212, -0.043145, 0.407048, -0.211439, -0.616789, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.718300, 14.881821, 15.556212, 16.642691, 91.015741], [43.532112, 44.246096, 53.207620, 62.172069, 67.309774], [24.762066, 25.071505, 25.655529, 33.034857, 207.277518], [44.637897, 49.786659, 58.153742, 62.138184, 215.097085], [55.170082, 56.648750, 73.060664, 78.711358, 275.478040]]
### 4
mean: [-2.199270, 1.381716, 0.767482, 1.226692, 0.465235]
std: [1.188486, 0.931478, 1.095434, 1.033217, 0.757512]
pca: [[0.582805, -0.318658, -0.203722, 0.631111, 0.344953, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.480956, -0.018548, -0.111254, 0.688841, -0.530527, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.342967, 0.743742, -0.530945, 0.006271, -0.217440, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.465490, 0.431566, 0.007495, 0.250710, 0.730861, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.307754, 0.398387, 0.814961, 0.253580, -0.134577, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.928973, 18.237608, 20.501993, 22.021209, 197.934259], [13.865633, 14.144413, 17.879594, 19.497540, 124.354441], [18.870783, 20.714775, 22.086571, 24.459185, 69.073388], [15.379086, 15.406339, 15.650141, 17.727243, 110.402278], [12.845185, 13.465824, 14.364454, 16.992599, 41.871180]]
### 6
mean: [-1.200588, 0.951258, -1.262143, 0.274540, 0.524845]
std: [0.140782, 2.122977, 0.340193, 1.411712, 2.121849]
pca: [[0.023373, 0.325761, 0.697595, 0.189356, -0.608966, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.638886, -0.312844, -0.370638, 0.400575, -0.442856, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.045178, 0.862836, -0.432318, 0.253711, 0.046954, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.424875, -0.200417, 0.078610, 0.848561, 0.230389, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.639311, 0.106559, 0.427681, 0.138779, 0.614618, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.136119, 2.170122, 2.658794, 2.987083, 108.052921], [32.507172, 34.868358, 40.474108, 46.458793, 85.613197], [5.323301, 5.398244, 6.033852, 7.459915, 113.592894], [21.539761, 24.708599, 24.745497, 26.440342, 31.162497], [32.349801, 36.545043, 40.005938, 46.687701, 47.236043]]
### 8
mean: [0.782103, -0.798228, 0.116499, 0.755134, 0.552795]
std: [2.074925, 3.350290, 1.757787, 1.947115, 0.378343]
pca: [[-0.436376, -0.495843, 0.413586, 0.163802, -0.604840, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.707969, -0.282774, 0.626956, -0.105024, 0.121302, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.370885, -0.266271, -0.386670, 0.795211, -0.098341, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.411559, -0.130541, 0.330084, 0.400006, 0.737983, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.037683, 0.765661, 0.421193, 0.412037, -0.255274, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.681044, 32.182558, 38.705963, 45.522524, 70.389229], [48.121871, 50.714338, 61.795437, 71.000728, 71.840494], [24.551716, 25.550511, 26.649835, 32.204558, 36.836564], [28.274046, 29.649853, 36.127994, 41.970085, 67.962032], [5.821534, 7.344690, 7.434227, 8.196330, 49.751585]]
### 10
mean: [0.783471, 0.491845, -0.010632, -1.092838, 0.254646]
std: [4.579617, 2.273030, 1.624948, 0.633075, 2.359691]
pca: [[0.778333, -0.062107, 0.605472, -0.035494, -0.149945, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.385571, -0.395609, -0.356155, 0.415444, 0.628799, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.275578, -0.210525, 0.296988, 0.822656, -0.338779, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.099078, 0.713973, 0.349999, 0.247476, 0.544685, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.399715, -0.534376, 0.543926, -0.296883, 0.413129, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[66.356568, 67.986215, 70.512360, 84.192464, 102.724727], [33.593546, 33.619301, 41.564599, 44.266080, 52.054058], [22.792191, 23.514608, 23.976167, 29.638427, 36.470721], [10.492760, 10.667410, 10.919115, 15.964182, 98.355457], [33.644237, 34.619714, 34.949033, 42.858659, 51.462624]]
### 12
mean: [-2.980420]
std: [4.319173]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[68.763273, 69.135496, 76.894140, 106.413454, 268.237828]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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"fourier": [33.64423698042337, 34.61971433158906, 34.949032975336316, 42.85865880419372, 51.462623850037176]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "12": {"neuron_profiles": {"0": {"mean": -2.9804203510284424, "std": 4.319173336029053, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [68.76327291777525, 69.13549611452838, 76.89413987317566, 106.4134544481877, 268.2378275692463]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.61859, 0.061133, 0.084696, 0.06854, 1.740045], [-0.267549, 0.654279, 0.533114, 0.186076, -0.772638], [0.012131, -0.242024, -0.777955, -0.801394, 0.433558], [0.244132, 0.308898, -0.138181, -0.682487, 0.365543], [0.333047, -0.866156, 0.067802, 0.237269, -0.83058]], "network.0.bias": [0.162583, 0.503544, -0.665661, -0.492087, 0.371524], "network.2.weight": [[0.030124, -0.459967, -0.848789, -0.281991, -0.434678], [-0.613487, 0.588491, 0.562366, -0.10199, 0.790848], [0.410622, 0.513057, -0.452901, 0.093006, 0.377626], [-0.725756, -0.04665, -0.605992, -0.118848, -0.012948], [-0.84527, 0.204403, -0.396054, -0.276637, 0.207726]], "network.2.bias": [-0.079307, 0.372463, -0.262314, 0.210313, -0.573765], "network.4.weight": [[0.070359, -0.940886, -0.221777, 0.878856, 0.947993], [-0.287246, 0.739846, -0.033026, -0.779018, -0.766865], [-0.116721, -0.461497, 0.577767, 0.026909, 0.665662], [-0.281341, 0.769991, 0.312167, -0.800555, -0.696169], [-0.009484, -0.408461, 0.327198, 0.871676, 0.398902]], "network.4.bias": [-0.766182, 0.703439, -0.090095, -0.252952, 0.148347], "network.6.weight": [[0.479189, -0.472119, -0.392252, 0.283525, 0.059206], [0.461288, 0.835916, -0.757632, 0.554389, -0.437999], [0.880349, -0.230087, -0.498131, -0.022312, 0.120485], [-0.978473, -0.236789, 0.516971, -0.430444, 0.675018], [0.405409, 0.448381, -0.808914, 0.701179, -0.819046]], "network.6.bias": [-0.612068, 0.080289, -0.550759, 0.281798, 0.191396], "network.8.weight": [[0.170573, 0.508552, -0.194649, -0.776891, 0.443142], [-0.813082, -1.31554, -0.852112, 0.571574, -0.480514], [-1.098054, -0.255203, -1.209675, 0.324546, -0.749237], [-0.31041, 0.564904, -0.013969, -0.50105, 0.42513], [-0.605215, -0.124201, 0.304625, 0.529752, 0.266379]], "network.8.bias": [0.141007, 0.858902, 0.753951, -0.166134, 0.028102], "network.10.weight": [[-0.890049, 0.867528, 1.096574, -0.953663, 0.497508], [-0.444804, 0.232224, 1.282251, -0.26571, 0.146907], [0.26758, -0.656101, -0.11642, 0.385602, 0.473888], [0.190801, -0.345328, -0.37273, -0.19096, 0.008683], [0.662481, -0.121406, -1.071264, 0.306846, 0.291191]], "network.10.bias": [1.013631, 0.04712, -0.234841, -0.491609, -0.065597], "network.12.weight": [[-1.264796, -0.422729, -0.153264, -0.080497, 0.619484]], "network.12.bias": [0.145551]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6843974590301514, "train_acc": 0.485, "val_loss": 0.6936298608779907, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.685245543718338, "train_acc": 0.56, "val_loss": 0.6927288770675659, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.680939793586731, "train_acc": 0.56, "val_loss": 0.6764624714851379, "val_acc": 0.54}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6607945263385773, "train_acc": 0.605, "val_loss": 0.6338160037994385, "val_acc": 0.72}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6636187732219696, "train_acc": 0.675, "val_loss": 0.607979416847229, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5676896572113037, "train_acc": 0.76, "val_loss": 0.5846190452575684, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5490238070487976, "train_acc": 0.725, "val_loss": 0.46445274353027344, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4451816827058792, "train_acc": 0.82, "val_loss": 0.3975694179534912, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3404634892940521, "train_acc": 0.855, "val_loss": 0.3304196298122406, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.34439632296562195, "train_acc": 0.87, "val_loss": 0.33855217695236206, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3141591101884842, "train_acc": 0.875, "val_loss": 0.6955158114433289, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.4784446656703949, "train_acc": 0.84, "val_loss": 0.3473909795284271, "val_acc": 0.9}], "summary": {"total_epochs": 12, "degraded_epochs": 4, "improved_epochs": 8, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6936298608779907, "final_val_loss": 0.6338160037994385, "initial_val_acc": 0.54, "final_val_acc": 0.72, "best_val_acc": 0.72}, "improved_stage": {"initial_val_loss": 0.607979416847229, "final_val_loss": 0.3473909795284271, "initial_val_acc": 0.66, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 11}, "improvement": 0.18000000000000005, "first_improvement_epoch": 3}}
|
165
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.6, "improved_accuracy": 0.76, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1325, "learning_rate": 0.06940224452980127, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.10381,
0.288112
],
[
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],
[
1.040777,
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],
[
0.551068,
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## Activation Signature
### 0
mean: [0.701209, -1.888193, 0.263212, 0.995409, -0.605291, -2.329851, 0.384739, 2.169134]
std: [2.062921, 1.160443, 2.157477, 1.636194, 1.238059, 1.913792, 2.235099, 2.273810]
pca: [[0.429290, 0.173622, 0.459679, 0.122448, 0.057654, -0.440842, 0.586310, 0.133577, 0.000000, 0.000000], [-0.200740, 0.255738, -0.195215, -0.305385, 0.576440, -0.359920, 0.084307, -0.542217, 0.000000, 0.000000], [-0.431801, -0.356404, 0.011851, -0.536909, -0.020347, 0.120759, 0.554830, 0.274369, 0.000000, 0.000000], [-0.268450, -0.200582, 0.696888, -0.204561, -0.271553, -0.268677, -0.355456, -0.296524, 0.000000, 0.000000], [-0.193480, 0.266452, 0.413205, 0.242920, 0.190551, 0.685775, 0.253643, -0.301477, 0.000000, 0.000000], [-0.240285, 0.664810, 0.171439, -0.237866, 0.115496, -0.026253, -0.267400, 0.573400, 0.000000, 0.000000], [-0.454396, -0.316444, 0.078054, 0.595704, 0.439323, -0.245028, -0.049811, 0.277320, 0.000000, 0.000000], [0.463949, -0.352265, 0.242015, -0.301953, 0.589562, 0.241518, -0.276819, 0.168436, 0.000000, 0.000000]]
fourier: [[34.044282, 34.174391, 38.111705, 47.502091, 63.108789], [16.830990, 18.608586, 20.703929, 20.858830, 169.937400], [33.762051, 37.037761, 37.238274, 44.013967, 44.735278], [27.195953, 27.420772, 27.727743, 28.451962, 89.586827], [19.825418, 20.763362, 21.720164, 27.599173, 54.476177], [30.787192, 32.059635, 33.139465, 37.189279, 209.686609], [34.932923, 36.833146, 38.196321, 43.692052, 43.805601], [36.822104, 37.518516, 40.176678, 43.379265, 195.222037]]
### 2
mean: [-1.776061, -0.419825, 1.497248, -0.451490, -2.341322, -2.176863, -2.962979, 0.100375]
std: [1.080714, 2.475742, 1.413443, 0.975405, 1.684709, 1.319522, 1.983541, 2.033210]
pca: [[-0.183231, 0.313238, 0.065117, 0.651931, 0.195115, -0.339855, 0.176812, -0.504202, 0.000000, 0.000000], [0.590074, 0.301325, -0.061357, -0.085299, -0.138751, 0.160615, 0.708121, -0.059087, 0.000000, 0.000000], [-0.225778, -0.435737, -0.016030, 0.001273, 0.635999, 0.438996, 0.388816, -0.102516, 0.000000, 0.000000], [0.129868, 0.144554, 0.917555, -0.215373, 0.151253, 0.094527, -0.121762, -0.165249, 0.000000, 0.000000], [-0.363766, 0.339579, 0.026199, -0.377048, 0.310536, -0.484595, 0.321155, 0.418455, 0.000000, 0.000000], [-0.188182, 0.432072, 0.102001, 0.440513, -0.020668, 0.529624, -0.044347, 0.539028, 0.000000, 0.000000], [-0.409330, 0.442593, -0.224550, -0.425256, -0.141421, 0.376135, -0.071714, -0.488544, 0.000000, 0.000000], [0.463798, 0.320053, -0.297183, -0.065301, 0.631227, 0.015401, -0.437092, -0.011916, 0.000000, 0.000000]]
fourier: [[18.306664, 18.718288, 20.308363, 21.994015, 159.845471], [37.784216, 39.720819, 42.957524, 48.438802, 53.183680], [21.001384, 24.023870, 25.054649, 28.472852, 134.752309], [14.173951, 15.254794, 16.854178, 22.600120, 40.634063], [30.394225, 30.463344, 31.089690, 32.491810, 210.719007], [22.238489, 22.258775, 25.573361, 26.280342, 195.917674], [35.198530, 36.949452, 37.229574, 37.535691, 266.668094], [30.204076, 32.466392, 34.835301, 39.981107, 45.183863]]
### 4
mean: [-0.734327, 0.227749, 0.233067, -0.641990, -0.066444, -0.184451, 0.170957, -0.658796]
std: [0.799464, 0.472919, 0.983341, 2.158585, 1.111906, 1.932174, 0.867963, 0.729218]
pca: [[-0.213067, 0.464872, -0.313683, 0.502530, -0.015425, 0.423371, 0.116975, -0.440907, 0.000000, 0.000000], [-0.125225, 0.147139, 0.575206, 0.148382, 0.736120, 0.209522, 0.012998, 0.154426, 0.000000, 0.000000], [0.278127, -0.132496, 0.225230, 0.680068, -0.376966, 0.145893, -0.102109, 0.466964, 0.000000, 0.000000], [0.603383, 0.706180, 0.199136, -0.138069, -0.095806, -0.231241, 0.121716, -0.032460, 0.000000, 0.000000], [-0.315758, 0.125391, -0.094780, -0.013396, -0.075656, -0.117634, 0.812577, 0.442231, 0.000000, 0.000000], [-0.547683, 0.170212, 0.567727, 0.022329, -0.443401, -0.286706, -0.130762, -0.228813, 0.000000, 0.000000], [0.240430, -0.301333, 0.381675, -0.241922, -0.241526, 0.548229, 0.419637, -0.334968, 0.000000, 0.000000], [-0.200071, 0.332418, -0.058165, -0.429752, -0.214346, 0.552727, -0.327767, 0.450019, 0.000000, 0.000000]]
fourier: [[12.993574, 13.458317, 14.619464, 16.426328, 66.089442], [7.355329, 7.546151, 9.161657, 10.174571, 20.497370], [14.669191, 14.833243, 19.732232, 19.860367, 20.976026], [32.134356, 34.632951, 43.007015, 43.543371, 57.779075], [15.830553, 16.543958, 17.695640, 22.381681, 23.254943], [28.140761, 28.442744, 31.192445, 39.353265, 41.474809], [13.771848, 13.924555, 15.386171, 16.525156, 17.676332], [11.495813, 11.706787, 14.385303, 15.035943, 59.291654]]
### 6
mean: [-0.319932, 0.624854, 0.356917, 0.220043, -0.199858, 0.071113, 0.403670, 0.154278]
std: [1.329136, 1.019096, 0.455176, 1.337918, 1.280983, 0.304426, 0.809686, 0.751329]
pca: [[0.481784, 0.001683, 0.155085, -0.368252, 0.395372, 0.489785, -0.273930, 0.370101, 0.000000, 0.000000], [-0.367313, 0.290767, 0.019042, -0.467437, 0.086574, -0.165441, 0.515039, 0.511415, 0.000000, 0.000000], [-0.161384, 0.215993, 0.076635, 0.604602, 0.222218, -0.224553, -0.364900, 0.568268, 0.000000, 0.000000], [0.483362, -0.249661, 0.597621, 0.199174, -0.046990, -0.317296, 0.437517, 0.113598, 0.000000, 0.000000], [0.452026, 0.821384, -0.168823, 0.150930, -0.125462, 0.030728, 0.177970, -0.146159, 0.000000, 0.000000], [-0.099773, 0.303409, 0.518282, -0.389806, -0.012239, -0.416985, -0.481297, -0.267862, 0.000000, 0.000000], [-0.292095, 0.146892, 0.496920, 0.146972, -0.509995, 0.597512, 0.017450, 0.084577, 0.000000, 0.000000], [-0.271442, 0.134768, 0.261755, 0.210595, 0.713171, 0.223152, 0.267395, -0.406671, 0.000000, 0.000000]]
fourier: [[19.438391, 20.837492, 26.584971, 27.267055, 28.793862], [15.324400, 16.699662, 20.284156, 21.149728, 56.236875], [6.692649, 7.805359, 8.546610, 8.951963, 32.122484], [19.785802, 19.803842, 21.810482, 26.200760, 27.540640], [18.692294, 19.596054, 20.889106, 24.995134, 27.393710], [5.219643, 5.785542, 5.786842, 6.073605, 6.400140], [11.742406, 12.950537, 16.230125, 16.960633, 36.330257], [10.565246, 11.909913, 13.884976, 15.015825, 15.358019]]
### 8
mean: [-0.389888]
std: [0.683155]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.640686, 11.001310, 13.692455, 13.866615, 35.089946]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.18649,
0.587839,
0.031678,
-0.169242
],
[
0.115858,
0.518978,
0.230871,
-0.294226,
0.457396,
0.146016,
-0.074668,
-0.141348
]
],
"network.6.bias": [
-0.084203,
0.350014,
0.061154,
0.300073,
-0.29809,
-0.285513,
0.112564,
-0.169901
],
"network.8.weight": [
[
0.043378,
-0.296029,
-0.066892,
-0.156521,
0.127488,
0.11768,
-0.392785,
-0.127309
]
],
"network.8.bias": [
0.014422
]
}
## Activation Signature
### 0
mean: [0.701209, -1.888193, 0.263212, 0.995409, -0.605291, -2.329851, 0.384739, 2.169134]
std: [2.062921, 1.160443, 2.157477, 1.636194, 1.238059, 1.913792, 2.235099, 2.273810]
pca: [[0.429290, 0.173622, 0.459679, 0.122448, 0.057654, -0.440842, 0.586310, 0.133577, 0.000000, 0.000000], [-0.200740, 0.255738, -0.195215, -0.305385, 0.576440, -0.359920, 0.084307, -0.542217, 0.000000, 0.000000], [-0.431801, -0.356404, 0.011851, -0.536909, -0.020347, 0.120759, 0.554830, 0.274369, 0.000000, 0.000000], [-0.268450, -0.200582, 0.696888, -0.204561, -0.271553, -0.268677, -0.355456, -0.296524, 0.000000, 0.000000], [-0.193480, 0.266452, 0.413205, 0.242920, 0.190551, 0.685775, 0.253643, -0.301477, 0.000000, 0.000000], [-0.240285, 0.664810, 0.171439, -0.237866, 0.115496, -0.026253, -0.267400, 0.573400, 0.000000, 0.000000], [-0.454396, -0.316444, 0.078054, 0.595704, 0.439323, -0.245028, -0.049811, 0.277320, 0.000000, 0.000000], [0.463949, -0.352265, 0.242015, -0.301953, 0.589562, 0.241518, -0.276819, 0.168436, 0.000000, 0.000000]]
fourier: [[34.044282, 34.174391, 38.111705, 47.502091, 63.108789], [16.830990, 18.608586, 20.703929, 20.858830, 169.937400], [33.762051, 37.037761, 37.238274, 44.013967, 44.735278], [27.195953, 27.420772, 27.727743, 28.451962, 89.586827], [19.825418, 20.763362, 21.720164, 27.599173, 54.476177], [30.787192, 32.059635, 33.139465, 37.189279, 209.686609], [34.932923, 36.833146, 38.196321, 43.692052, 43.805601], [36.822104, 37.518516, 40.176678, 43.379265, 195.222037]]
### 2
mean: [-1.776061, -0.419825, 1.497248, -0.451490, -2.341322, -2.176863, -2.962979, 0.100375]
std: [1.080714, 2.475742, 1.413443, 0.975405, 1.684709, 1.319522, 1.983541, 2.033210]
pca: [[-0.183231, 0.313238, 0.065117, 0.651931, 0.195115, -0.339855, 0.176812, -0.504202, 0.000000, 0.000000], [0.590074, 0.301325, -0.061357, -0.085299, -0.138751, 0.160615, 0.708121, -0.059087, 0.000000, 0.000000], [-0.225778, -0.435737, -0.016030, 0.001273, 0.635999, 0.438996, 0.388816, -0.102516, 0.000000, 0.000000], [0.129868, 0.144554, 0.917555, -0.215373, 0.151253, 0.094527, -0.121762, -0.165249, 0.000000, 0.000000], [-0.363766, 0.339579, 0.026199, -0.377048, 0.310536, -0.484595, 0.321155, 0.418455, 0.000000, 0.000000], [-0.188182, 0.432072, 0.102001, 0.440513, -0.020668, 0.529624, -0.044347, 0.539028, 0.000000, 0.000000], [-0.409330, 0.442593, -0.224550, -0.425256, -0.141421, 0.376135, -0.071714, -0.488544, 0.000000, 0.000000], [0.463798, 0.320053, -0.297183, -0.065301, 0.631227, 0.015401, -0.437092, -0.011916, 0.000000, 0.000000]]
fourier: [[18.306664, 18.718288, 20.308363, 21.994015, 159.845471], [37.784216, 39.720819, 42.957524, 48.438802, 53.183680], [21.001384, 24.023870, 25.054649, 28.472852, 134.752309], [14.173951, 15.254794, 16.854178, 22.600120, 40.634063], [30.394225, 30.463344, 31.089690, 32.491810, 210.719007], [22.238489, 22.258775, 25.573361, 26.280342, 195.917674], [35.198530, 36.949452, 37.229574, 37.535691, 266.668094], [30.204076, 32.466392, 34.835301, 39.981107, 45.183863]]
### 4
mean: [-0.734327, 0.227749, 0.233067, -0.641990, -0.066444, -0.184451, 0.170957, -0.658796]
std: [0.799464, 0.472919, 0.983341, 2.158585, 1.111906, 1.932174, 0.867963, 0.729218]
pca: [[-0.213067, 0.464872, -0.313683, 0.502530, -0.015425, 0.423371, 0.116975, -0.440907, 0.000000, 0.000000], [-0.125225, 0.147139, 0.575206, 0.148382, 0.736120, 0.209522, 0.012998, 0.154426, 0.000000, 0.000000], [0.278127, -0.132496, 0.225230, 0.680068, -0.376966, 0.145893, -0.102109, 0.466964, 0.000000, 0.000000], [0.603383, 0.706180, 0.199136, -0.138069, -0.095806, -0.231241, 0.121716, -0.032460, 0.000000, 0.000000], [-0.315758, 0.125391, -0.094780, -0.013396, -0.075656, -0.117634, 0.812577, 0.442231, 0.000000, 0.000000], [-0.547683, 0.170212, 0.567727, 0.022329, -0.443401, -0.286706, -0.130762, -0.228813, 0.000000, 0.000000], [0.240430, -0.301333, 0.381675, -0.241922, -0.241526, 0.548229, 0.419637, -0.334968, 0.000000, 0.000000], [-0.200071, 0.332418, -0.058165, -0.429752, -0.214346, 0.552727, -0.327767, 0.450019, 0.000000, 0.000000]]
fourier: [[12.993574, 13.458317, 14.619464, 16.426328, 66.089442], [7.355329, 7.546151, 9.161657, 10.174571, 20.497370], [14.669191, 14.833243, 19.732232, 19.860367, 20.976026], [32.134356, 34.632951, 43.007015, 43.543371, 57.779075], [15.830553, 16.543958, 17.695640, 22.381681, 23.254943], [28.140761, 28.442744, 31.192445, 39.353265, 41.474809], [13.771848, 13.924555, 15.386171, 16.525156, 17.676332], [11.495813, 11.706787, 14.385303, 15.035943, 59.291654]]
### 6
mean: [-0.319932, 0.624854, 0.356917, 0.220043, -0.199858, 0.071113, 0.403670, 0.154278]
std: [1.329136, 1.019096, 0.455176, 1.337918, 1.280983, 0.304426, 0.809686, 0.751329]
pca: [[0.481784, 0.001683, 0.155085, -0.368252, 0.395372, 0.489785, -0.273930, 0.370101, 0.000000, 0.000000], [-0.367313, 0.290767, 0.019042, -0.467437, 0.086574, -0.165441, 0.515039, 0.511415, 0.000000, 0.000000], [-0.161384, 0.215993, 0.076635, 0.604602, 0.222218, -0.224553, -0.364900, 0.568268, 0.000000, 0.000000], [0.483362, -0.249661, 0.597621, 0.199174, -0.046990, -0.317296, 0.437517, 0.113598, 0.000000, 0.000000], [0.452026, 0.821384, -0.168823, 0.150930, -0.125462, 0.030728, 0.177970, -0.146159, 0.000000, 0.000000], [-0.099773, 0.303409, 0.518282, -0.389806, -0.012239, -0.416985, -0.481297, -0.267862, 0.000000, 0.000000], [-0.292095, 0.146892, 0.496920, 0.146972, -0.509995, 0.597512, 0.017450, 0.084577, 0.000000, 0.000000], [-0.271442, 0.134768, 0.261755, 0.210595, 0.713171, 0.223152, 0.267395, -0.406671, 0.000000, 0.000000]]
fourier: [[19.438391, 20.837492, 26.584971, 27.267055, 28.793862], [15.324400, 16.699662, 20.284156, 21.149728, 56.236875], [6.692649, 7.805359, 8.546610, 8.951963, 32.122484], [19.785802, 19.803842, 21.810482, 26.200760, 27.540640], [18.692294, 19.596054, 20.889106, 24.995134, 27.393710], [5.219643, 5.785542, 5.786842, 6.073605, 6.400140], [11.742406, 12.950537, 16.230125, 16.960633, 36.330257], [10.565246, 11.909913, 13.884976, 15.015825, 15.358019]]
### 8
mean: [-0.389888]
std: [0.683155]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.640686, 11.001310, 13.692455, 13.866615, 35.089946]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-1.071651, 0.512528, 0.171014, 0.10381, 0.288112], [0.296446, -0.186893, -0.215158, -0.281837, -0.309372], [1.040777, -0.145793, 0.096117, -0.171311, -0.379985], [0.551068, 0.409265, 0.007277, -0.04675, -0.420893], [0.254318, 0.245995, -0.416499, -0.088634, -0.394027], [0.149809, 0.014107, -0.486322, -0.33132, -0.70838], [1.184395, -0.054893, -0.429623, 0.059239, -0.17609], [-0.925882, 0.432537, 0.645442, 0.078884, 0.64978]], "network.0.bias": [0.165697, -0.481158, -0.131073, 0.168015, 0.176024, 0.058051, -0.00157, 0.21435], "network.2.weight": [[0.000712, 0.319126, -0.07355, -0.491928, 0.465463, -0.5189, -0.240021, -0.345246], [-0.407434, -0.386856, 0.613291, 0.052309, -0.108064, -0.182696, 0.437079, -0.266618], [0.389576, 0.407414, -0.263227, 0.21145, -0.261439, 0.20295, -0.025192, 0.386844], [0.335693, -0.444943, 0.027685, 0.371587, 0.582739, -0.147825, -0.19012, -0.486961], [-0.023627, 0.64808, -0.416141, -0.358565, -0.2043, -0.276721, -0.354873, -0.388207], [-0.056621, 0.191507, -0.010211, -0.500976, 0.39766, -0.038195, -0.389547, -0.485941], [-0.213793, 0.40585, -0.35071, -0.52607, -0.332064, 0.437293, -0.460471, -0.390495], [-0.383318, -0.377011, 0.557987, -0.166575, -0.429238, -0.551453, 0.428621, -0.244019]], "network.2.bias": [-0.231493, -0.295383, 0.220464, -0.075396, -0.308283, -0.128769, -0.453486, 0.464294], "network.4.weight": [[0.054003, -0.045387, -0.444865, 0.392864, 0.038527, -0.084855, 0.250989, 0.156372], [-0.192862, 0.067681, -0.084857, -0.432262, -0.405115, -0.454827, -0.89813, 0.267188], [0.777263, -0.352492, 0.326336, -0.313199, 0.464637, -0.020061, 0.044182, 0.002911], [0.410408, -0.306708, 0.217463, -0.879465, 0.579265, 0.447155, -0.108753, -0.822385], [-0.424965, 0.197041, -0.368973, 0.291907, -0.324099, 0.071826, 0.287269, 0.227158], [-0.560634, 0.451592, -0.583835, -0.195285, 0.118884, -0.243287, -0.206582, 0.448902], [0.563899, -0.031537, 0.381742, -0.502673, -0.042762, 0.334131, -0.482572, -0.172787], [0.025927, 0.286016, -0.380747, 0.035609, -0.055254, 0.131406, -0.148706, -0.122888]], "network.4.bias": [-0.182451, 0.030197, 0.140778, 0.070474, 0.094682, -0.033257, -0.153464, -0.221213], "network.6.weight": [[-0.186269, -0.030521, -0.112596, 0.592074, -0.502716, -0.488834, 0.280815, -0.193587], [0.048051, 0.08788, -0.208883, 0.176894, 0.35044, 0.415636, -0.130139, 0.202167], [0.033262, 0.223156, 0.424006, -0.461276, 0.371016, 0.124126, 0.009227, -0.279091], [-0.807037, 0.191492, 0.244147, 0.040503, -0.241771, -0.508975, 0.291801, -0.764445], [-0.156053, -0.425821, 0.3998, 0.543878, -0.517479, -0.175772, 0.384974, -0.317383], [-0.426542, 0.245149, -0.013533, 0.250577, 0.209167, 0.214423, 0.097988, -0.528527], [0.171108, 0.301796, 0.026724, -0.351849, -0.18649, 0.587839, 0.031678, -0.169242], [0.115858, 0.518978, 0.230871, -0.294226, 0.457396, 0.146016, -0.074668, -0.141348]], "network.6.bias": [-0.084203, 0.350014, 0.061154, 0.300073, -0.29809, -0.285513, 0.112564, -0.169901], "network.8.weight": [[0.043378, -0.296029, -0.066892, -0.156521, 0.127488, 0.11768, -0.392785, -0.127309]], "network.8.bias": [0.014422]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6853196918964386, "train_acc": 0.585, "val_loss": 0.7162036299705505, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6629861891269684, "train_acc": 0.585, "val_loss": 0.6887727379798889, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6047902703285217, "train_acc": 0.585, "val_loss": 0.6202085018157959, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 1.0004644095897675, "train_acc": 0.69, "val_loss": 0.5760616064071655, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5154620110988617, "train_acc": 0.73, "val_loss": 0.6080942153930664, "val_acc": 0.64}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5923740565776825, "train_acc": 0.62, "val_loss": 0.6384002566337585, "val_acc": 0.68}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.61335489153862, "train_acc": 0.715, "val_loss": 0.6388766765594482, "val_acc": 0.76}], "summary": {"total_epochs": 7, "degraded_epochs": 3, "improved_epochs": 4, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7162036299705505, "final_val_loss": 0.6202085018157959, "initial_val_acc": 0.44, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.5760616064071655, "final_val_loss": 0.6388766765594482, "initial_val_acc": 0.68, "final_val_acc": 0.76, "best_val_acc": 0.76, "best_epoch": 6}, "improvement": 0.16000000000000003, "first_improvement_epoch": 2}}
|
166
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{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.46, "improved_accuracy": 0.84, "improvement": 0.37999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8095, "learning_rate": 0.06783696592453048, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.045003,
0.5193,
0.226948
],
[
-0.261255,
0.247033,
-0.328596,
-0.156869,
-0.05188,
-0.429762,
-0.408926,
-0.013729
],
[
0.233384,
0.195654,
0.453563,
0.186311,
-0.01355,
0.403948,
-0.234525,
-0.222156
],
[
-0.246284,
0.005013,
-0.003257,
-0.387022,
-0.035801,
0.106343,
0.490059,
0.081421
]
],
"network.6.bias": [
0.072435,
0.130134,
0.089164,
-0.25863,
0.161692,
-0.016973,
0.239889,
0.210061
],
"network.8.weight": [
[
0.126996,
-0.419741,
0.318958,
-0.163609,
0.279971,
0.102789,
-0.359407,
0.326669
]
],
"network.8.bias": [
-0.097718
]
}
## Activation Signature
### 0
mean: [0.072584, -2.986347, 0.587241, -1.095971, 1.795110, -2.192458, -2.830922, 0.591437]
std: [0.946467, 1.940739, 1.427032, 2.228543, 1.713732, 1.370573, 1.943785, 1.394111]
pca: [[-0.129538, 0.342073, 0.132113, -0.343795, -0.284317, 0.395335, -0.588777, -0.383110, 0.000000, 0.000000], [0.458275, 0.144707, -0.003552, 0.644836, 0.108112, -0.104254, -0.156188, -0.553413, 0.000000, 0.000000], [-0.295076, 0.353072, -0.341971, 0.135551, -0.155779, 0.392685, 0.631732, -0.274588, 0.000000, 0.000000], [0.534941, -0.226808, 0.473983, -0.136777, -0.025196, 0.564874, 0.314422, 0.021185, 0.000000, 0.000000], [-0.353986, 0.163673, 0.603162, 0.520963, -0.363156, -0.002073, -0.006832, 0.284193, 0.000000, 0.000000], [0.260413, 0.387374, -0.343419, 0.225112, 0.156327, 0.380374, -0.260186, 0.613754, 0.000000, 0.000000], [0.344321, 0.672377, 0.201823, -0.324840, -0.107194, -0.451005, 0.250297, 0.074525, 0.000000, 0.000000], [-0.297143, 0.238759, 0.344175, -0.036210, 0.845437, 0.107063, 0.024653, -0.089997, 0.000000, 0.000000]]
fourier: [[13.605615, 15.014655, 15.489853, 17.180710, 20.280102], [29.440272, 31.572040, 33.240758, 38.494566, 268.771192], [20.856165, 22.002458, 22.599701, 24.497566, 52.851699], [33.923121, 34.799578, 36.360497, 36.551472, 98.637421], [25.383506, 29.294000, 33.472350, 34.642382, 161.559874], [21.406147, 23.059044, 24.560325, 27.910533, 197.321228], [31.194448, 31.332418, 34.952813, 41.858719, 254.783038], [22.566968, 24.194924, 27.890804, 28.942685, 53.229342]]
### 2
mean: [0.345287, -0.547004, 0.845709, 2.301434, -1.255438, 0.887190, -0.900778, -0.377005]
std: [0.412106, 0.571597, 0.939088, 2.024895, 0.567526, 1.299481, 0.638114, 0.499644]
pca: [[0.118382, 0.194958, -0.589394, 0.039255, 0.070795, 0.259122, 0.725845, 0.006644, 0.000000, 0.000000], [-0.158483, 0.654463, 0.007323, 0.618620, 0.224591, 0.018456, -0.203492, -0.267631, 0.000000, 0.000000], [0.335526, -0.073804, 0.200890, 0.516500, -0.577838, 0.353943, 0.027192, 0.339022, 0.000000, 0.000000], [0.726252, 0.412445, 0.094509, -0.221923, -0.140811, -0.459056, 0.038143, -0.110678, 0.000000, 0.000000], [-0.172478, 0.524894, 0.271370, -0.370012, 0.122124, 0.243639, 0.022766, 0.639839, 0.000000, 0.000000], [0.465330, -0.175884, 0.319752, -0.011385, 0.599114, 0.508612, -0.006749, -0.180256, 0.000000, 0.000000], [-0.212830, -0.071271, 0.621110, 0.182362, 0.062658, -0.307973, 0.652858, -0.074791, 0.000000, 0.000000], [-0.171091, 0.215830, 0.203991, -0.359796, -0.461568, 0.428501, 0.052525, -0.594696, 0.000000, 0.000000]]
fourier: [[6.627165, 6.696009, 6.901383, 7.340070, 31.075844], [10.414700, 10.630558, 10.710098, 11.005652, 49.230344], [15.136146, 16.102427, 17.595700, 18.368383, 76.113778], [31.651551, 32.082812, 37.106332, 37.302859, 207.129092], [9.856100, 10.424602, 11.580743, 12.243765, 112.989429], [21.995512, 22.891504, 24.480259, 24.966651, 79.847110], [9.634323, 9.993809, 10.948581, 12.336151, 81.069996], [8.524556, 9.134543, 9.882072, 10.586161, 33.930430]]
### 4
mean: [1.219608, -0.969987, 1.201632, 2.080902, -0.823010, 1.910329, 0.392060, -0.333211]
std: [1.496716, 0.719652, 1.088975, 2.115142, 0.475752, 2.062603, 0.101379, 0.682981]
pca: [[0.409482, 0.346928, -0.485193, 0.044146, -0.260023, 0.253009, 0.341670, -0.475647, 0.000000, 0.000000], [-0.196768, -0.163835, -0.463792, 0.013598, -0.236737, 0.370363, 0.240060, 0.684332, 0.000000, 0.000000], [0.296302, -0.548395, 0.143047, 0.118914, -0.267908, -0.458101, 0.543194, 0.013188, 0.000000, 0.000000], [0.579632, 0.017061, 0.343549, -0.410030, -0.406014, 0.236658, -0.306414, 0.250682, 0.000000, 0.000000], [-0.125040, 0.565846, 0.140647, -0.503442, 0.076550, -0.322940, 0.472210, 0.240449, 0.000000, 0.000000], [0.565183, 0.145262, -0.000701, 0.353749, 0.629032, 0.029516, 0.087479, 0.360726, 0.000000, 0.000000], [0.002157, 0.421109, -0.066040, 0.516356, -0.461382, -0.451410, -0.285552, 0.231285, 0.000000, 0.000000], [-0.186460, 0.182088, 0.621975, 0.412777, -0.159080, 0.473309, 0.352857, -0.031661, 0.000000, 0.000000]]
fourier: [[24.747434, 25.758640, 27.559993, 28.486842, 109.764733], [11.887615, 12.206034, 13.344831, 13.443402, 87.298787], [16.761171, 17.423086, 19.035916, 20.665443, 108.146928], [34.423898, 34.586720, 38.628556, 39.962893, 187.281133], [7.361064, 7.494926, 7.514549, 8.988814, 74.070894], [33.437536, 34.104395, 37.568191, 39.263531, 171.929573], [1.534814, 1.770246, 1.842327, 2.376260, 35.285407], [10.978541, 11.011760, 12.068705, 13.258847, 29.988960]]
### 6
mean: [-0.973061, 3.444357, -0.041740, 0.699458, 0.034462, -2.048348, 2.125372, -0.501210]
std: [1.087004, 3.548722, 0.492720, 1.145257, 0.341251, 1.957749, 2.073631, 0.969551]
pca: [[-0.219602, 0.013673, -0.388249, 0.389422, 0.045450, 0.655952, -0.187351, 0.426336, 0.000000, 0.000000], [0.717038, 0.106361, -0.212725, -0.362966, 0.057850, 0.430863, 0.328822, -0.020838, 0.000000, 0.000000], [-0.098783, 0.316707, 0.808640, 0.119322, 0.027991, 0.407931, 0.230720, 0.037138, 0.000000, 0.000000], [0.231006, 0.439193, -0.159702, 0.544023, -0.596296, -0.140372, 0.127442, -0.201905, 0.000000, 0.000000], [-0.065954, 0.658368, -0.093672, -0.281414, 0.100141, -0.321300, 0.001094, 0.600808, 0.000000, 0.000000], [-0.395497, -0.259850, -0.124521, -0.195797, -0.409985, 0.014908, 0.715400, 0.205211, 0.000000, 0.000000], [0.418829, -0.378643, 0.187907, 0.456824, 0.192868, -0.295781, 0.221160, 0.513438, 0.000000, 0.000000], [-0.195763, 0.225754, -0.254989, 0.283178, 0.650324, -0.083844, 0.476018, -0.330088, 0.000000, 0.000000]]
fourier: [[17.750955, 17.822570, 19.533329, 20.596427, 87.575478], [57.658734, 58.676179, 64.489194, 67.656246, 309.992128], [7.495748, 7.795210, 7.995845, 9.227772, 9.588290], [18.876557, 19.879436, 20.881289, 21.848963, 62.951191], [5.193637, 5.370184, 5.437512, 5.619036, 6.447852], [32.028541, 32.801084, 35.415347, 37.255231, 184.351284], [33.197551, 33.222397, 37.219587, 39.649054, 191.283497], [15.555384, 15.651845, 17.407607, 18.460949, 45.108859]]
### 8
mean: [-2.297704]
std: [2.524430]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.532374, 40.915594, 46.669165, 48.512820, 206.793414]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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],
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[
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],
[
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],
[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
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[
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[
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],
[
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],
[
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0.247038,
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],
"network.2.bias": [
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"network.4.weight": [
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],
"network.4.bias": [
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"network.6.weight": [
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]
],
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],
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[
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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [0.072584, -2.986347, 0.587241, -1.095971, 1.795110, -2.192458, -2.830922, 0.591437]
std: [0.946467, 1.940739, 1.427032, 2.228543, 1.713732, 1.370573, 1.943785, 1.394111]
pca: [[-0.129538, 0.342073, 0.132113, -0.343795, -0.284317, 0.395335, -0.588777, -0.383110, 0.000000, 0.000000], [0.458275, 0.144707, -0.003552, 0.644836, 0.108112, -0.104254, -0.156188, -0.553413, 0.000000, 0.000000], [-0.295076, 0.353072, -0.341971, 0.135551, -0.155779, 0.392685, 0.631732, -0.274588, 0.000000, 0.000000], [0.534941, -0.226808, 0.473983, -0.136777, -0.025196, 0.564874, 0.314422, 0.021185, 0.000000, 0.000000], [-0.353986, 0.163673, 0.603162, 0.520963, -0.363156, -0.002073, -0.006832, 0.284193, 0.000000, 0.000000], [0.260413, 0.387374, -0.343419, 0.225112, 0.156327, 0.380374, -0.260186, 0.613754, 0.000000, 0.000000], [0.344321, 0.672377, 0.201823, -0.324840, -0.107194, -0.451005, 0.250297, 0.074525, 0.000000, 0.000000], [-0.297143, 0.238759, 0.344175, -0.036210, 0.845437, 0.107063, 0.024653, -0.089997, 0.000000, 0.000000]]
fourier: [[13.605615, 15.014655, 15.489853, 17.180710, 20.280102], [29.440272, 31.572040, 33.240758, 38.494566, 268.771192], [20.856165, 22.002458, 22.599701, 24.497566, 52.851699], [33.923121, 34.799578, 36.360497, 36.551472, 98.637421], [25.383506, 29.294000, 33.472350, 34.642382, 161.559874], [21.406147, 23.059044, 24.560325, 27.910533, 197.321228], [31.194448, 31.332418, 34.952813, 41.858719, 254.783038], [22.566968, 24.194924, 27.890804, 28.942685, 53.229342]]
### 2
mean: [0.345287, -0.547004, 0.845709, 2.301434, -1.255438, 0.887190, -0.900778, -0.377005]
std: [0.412106, 0.571597, 0.939088, 2.024895, 0.567526, 1.299481, 0.638114, 0.499644]
pca: [[0.118382, 0.194958, -0.589394, 0.039255, 0.070795, 0.259122, 0.725845, 0.006644, 0.000000, 0.000000], [-0.158483, 0.654463, 0.007323, 0.618620, 0.224591, 0.018456, -0.203492, -0.267631, 0.000000, 0.000000], [0.335526, -0.073804, 0.200890, 0.516500, -0.577838, 0.353943, 0.027192, 0.339022, 0.000000, 0.000000], [0.726252, 0.412445, 0.094509, -0.221923, -0.140811, -0.459056, 0.038143, -0.110678, 0.000000, 0.000000], [-0.172478, 0.524894, 0.271370, -0.370012, 0.122124, 0.243639, 0.022766, 0.639839, 0.000000, 0.000000], [0.465330, -0.175884, 0.319752, -0.011385, 0.599114, 0.508612, -0.006749, -0.180256, 0.000000, 0.000000], [-0.212830, -0.071271, 0.621110, 0.182362, 0.062658, -0.307973, 0.652858, -0.074791, 0.000000, 0.000000], [-0.171091, 0.215830, 0.203991, -0.359796, -0.461568, 0.428501, 0.052525, -0.594696, 0.000000, 0.000000]]
fourier: [[6.627165, 6.696009, 6.901383, 7.340070, 31.075844], [10.414700, 10.630558, 10.710098, 11.005652, 49.230344], [15.136146, 16.102427, 17.595700, 18.368383, 76.113778], [31.651551, 32.082812, 37.106332, 37.302859, 207.129092], [9.856100, 10.424602, 11.580743, 12.243765, 112.989429], [21.995512, 22.891504, 24.480259, 24.966651, 79.847110], [9.634323, 9.993809, 10.948581, 12.336151, 81.069996], [8.524556, 9.134543, 9.882072, 10.586161, 33.930430]]
### 4
mean: [1.219608, -0.969987, 1.201632, 2.080902, -0.823010, 1.910329, 0.392060, -0.333211]
std: [1.496716, 0.719652, 1.088975, 2.115142, 0.475752, 2.062603, 0.101379, 0.682981]
pca: [[0.409482, 0.346928, -0.485193, 0.044146, -0.260023, 0.253009, 0.341670, -0.475647, 0.000000, 0.000000], [-0.196768, -0.163835, -0.463792, 0.013598, -0.236737, 0.370363, 0.240060, 0.684332, 0.000000, 0.000000], [0.296302, -0.548395, 0.143047, 0.118914, -0.267908, -0.458101, 0.543194, 0.013188, 0.000000, 0.000000], [0.579632, 0.017061, 0.343549, -0.410030, -0.406014, 0.236658, -0.306414, 0.250682, 0.000000, 0.000000], [-0.125040, 0.565846, 0.140647, -0.503442, 0.076550, -0.322940, 0.472210, 0.240449, 0.000000, 0.000000], [0.565183, 0.145262, -0.000701, 0.353749, 0.629032, 0.029516, 0.087479, 0.360726, 0.000000, 0.000000], [0.002157, 0.421109, -0.066040, 0.516356, -0.461382, -0.451410, -0.285552, 0.231285, 0.000000, 0.000000], [-0.186460, 0.182088, 0.621975, 0.412777, -0.159080, 0.473309, 0.352857, -0.031661, 0.000000, 0.000000]]
fourier: [[24.747434, 25.758640, 27.559993, 28.486842, 109.764733], [11.887615, 12.206034, 13.344831, 13.443402, 87.298787], [16.761171, 17.423086, 19.035916, 20.665443, 108.146928], [34.423898, 34.586720, 38.628556, 39.962893, 187.281133], [7.361064, 7.494926, 7.514549, 8.988814, 74.070894], [33.437536, 34.104395, 37.568191, 39.263531, 171.929573], [1.534814, 1.770246, 1.842327, 2.376260, 35.285407], [10.978541, 11.011760, 12.068705, 13.258847, 29.988960]]
### 6
mean: [-0.973061, 3.444357, -0.041740, 0.699458, 0.034462, -2.048348, 2.125372, -0.501210]
std: [1.087004, 3.548722, 0.492720, 1.145257, 0.341251, 1.957749, 2.073631, 0.969551]
pca: [[-0.219602, 0.013673, -0.388249, 0.389422, 0.045450, 0.655952, -0.187351, 0.426336, 0.000000, 0.000000], [0.717038, 0.106361, -0.212725, -0.362966, 0.057850, 0.430863, 0.328822, -0.020838, 0.000000, 0.000000], [-0.098783, 0.316707, 0.808640, 0.119322, 0.027991, 0.407931, 0.230720, 0.037138, 0.000000, 0.000000], [0.231006, 0.439193, -0.159702, 0.544023, -0.596296, -0.140372, 0.127442, -0.201905, 0.000000, 0.000000], [-0.065954, 0.658368, -0.093672, -0.281414, 0.100141, -0.321300, 0.001094, 0.600808, 0.000000, 0.000000], [-0.395497, -0.259850, -0.124521, -0.195797, -0.409985, 0.014908, 0.715400, 0.205211, 0.000000, 0.000000], [0.418829, -0.378643, 0.187907, 0.456824, 0.192868, -0.295781, 0.221160, 0.513438, 0.000000, 0.000000], [-0.195763, 0.225754, -0.254989, 0.283178, 0.650324, -0.083844, 0.476018, -0.330088, 0.000000, 0.000000]]
fourier: [[17.750955, 17.822570, 19.533329, 20.596427, 87.575478], [57.658734, 58.676179, 64.489194, 67.656246, 309.992128], [7.495748, 7.795210, 7.995845, 9.227772, 9.588290], [18.876557, 19.879436, 20.881289, 21.848963, 62.951191], [5.193637, 5.370184, 5.437512, 5.619036, 6.447852], [32.028541, 32.801084, 35.415347, 37.255231, 184.351284], [33.197551, 33.222397, 37.219587, 39.649054, 191.283497], [15.555384, 15.651845, 17.407607, 18.460949, 45.108859]]
### 8
mean: [-2.297704]
std: [2.524430]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.532374, 40.915594, 46.669165, 48.512820, 206.793414]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
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18.46094870371997, 45.108859449625015]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -2.2977044582366943, "std": 2.524430274963379, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [40.532374219370084, 40.91559402631063, 46.669164733069685, 48.51282027113289, 206.7934137135744]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.099502, 0.156465, 0.276282, -0.313207, -0.00738], [-0.391835, -0.608874, -0.231201, -0.026997, -0.301359], [0.352164, 0.506464, -0.000297, -0.310929, -0.22083], [-0.646866, -0.811437, 0.049655, 0.21164, 0.177791], [0.648044, -0.063479, 0.4128, 0.19963, -0.469816], [-0.271251, -0.118668, -0.229534, -0.396008, -0.162854], [-0.411543, -0.396314, 0.200658, -0.63151, -0.050011], [0.614911, 0.003859, 0.162545, -0.095409, -0.035455]], "network.0.bias": [-0.232721, -0.476704, 0.16585, 0.410789, 0.393379, -0.109121, -0.599842, -0.272029], "network.2.weight": [[-0.203378, -0.408678, 0.160176, -0.169051, 0.322439, -0.24884, -0.254392, -0.220235], [-0.045355, -0.202773, 0.00759, -0.600142, -0.13164, -0.246102, -0.144867, -0.31269], [0.380591, -0.546752, 0.103502, -0.165806, 0.225286, 0.339809, -0.277143, 0.253886], [0.230103, -0.516136, 0.7242, -0.562009, 0.478385, -0.103238, 0.324004, 0.309718], [-0.043764, -0.073362, 0.138879, -0.278688, -0.293361, -0.069879, -0.091781, -0.193633], [0.194041, 0.208126, 0.247038, -0.095167, 0.215312, -0.345088, 0.008139, 0.532111], [0.1811, -0.103758, -0.226692, 0.04928, -0.406085, -0.045201, 0.25683, 0.144039], [0.063579, 0.032852, 0.02566, 0.001066, -0.227584, 0.24999, -0.289195, -0.162374]], "network.2.bias": [-0.080983, 0.13323, 0.0214, 0.608898, -0.566854, -0.200607, -0.158007, 0.134347], "network.4.weight": [[0.143272, -0.151068, 0.622901, 0.168113, -0.223952, 0.443817, -0.133118, 0.234831], [0.142369, -0.235253, -0.224181, -0.208409, 0.091614, -0.115633, -0.004558, -0.109084], [0.280418, 0.245343, 0.090552, 0.483857, 0.032344, -0.039542, 0.078235, -0.339213], [0.064126, -0.081087, 0.486104, 0.598585, 0.062127, 0.369793, 0.462037, -0.060278], [-0.332664, -0.145688, -0.004765, -0.282941, -0.095647, 0.165222, 0.103788, 0.044453], [0.160732, 0.569152, 0.701051, 0.459171, 0.174116, 0.380647, 0.047348, 0.351167], [-0.162938, -0.336094, 0.312245, -0.149748, 0.008778, 0.058182, -0.295735, 0.370235], [-0.338453, -0.370853, -0.083523, -0.101929, -0.192972, -0.237514, -0.066392, 0.475429]], "network.4.bias": [-0.181488, -0.232675, -0.064001, -0.097355, -0.189706, -0.192637, 0.472284, 0.317114], "network.6.weight": [[-0.094475, -0.221534, -0.093208, -0.344349, 0.060236, -0.062607, 0.079474, -0.102387], [0.617677, -0.090188, 0.275052, 0.730441, -0.196868, 0.371369, 0.059046, -0.409412], [-0.087283, 0.183393, 0.215998, -0.170298, -0.190535, -0.090558, 0.473922, 0.638024], [0.440394, -0.315932, -0.129188, -0.056201, -0.043165, 0.360641, 0.011876, -0.088511], [-0.001182, 0.250815, -0.264926, -0.056174, -0.187524, 0.045003, 0.5193, 0.226948], [-0.261255, 0.247033, -0.328596, -0.156869, -0.05188, -0.429762, -0.408926, -0.013729], [0.233384, 0.195654, 0.453563, 0.186311, -0.01355, 0.403948, -0.234525, -0.222156], [-0.246284, 0.005013, -0.003257, -0.387022, -0.035801, 0.106343, 0.490059, 0.081421]], "network.6.bias": [0.072435, 0.130134, 0.089164, -0.25863, 0.161692, -0.016973, 0.239889, 0.210061], "network.8.weight": [[0.126996, -0.419741, 0.318958, -0.163609, 0.279971, 0.102789, -0.359407, 0.326669]], "network.8.bias": [-0.097718]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.701655924320221, "train_acc": 0.425, "val_loss": 0.7090466022491455, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.677778571844101, "train_acc": 0.57, "val_loss": 0.7295350432395935, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6641364097595215, "train_acc": 0.57, "val_loss": 0.6688237190246582, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5897021889686584, "train_acc": 0.51, "val_loss": 0.44339436292648315, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.39323532581329346, "train_acc": 0.855, "val_loss": 0.4247903823852539, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.3553975746035576, "train_acc": 0.91, "val_loss": 0.5678274035453796, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.20518025010824203, "train_acc": 0.93, "val_loss": 0.6212830543518066, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.26152245700359344, "train_acc": 0.92, "val_loss": 0.44801613688468933, "val_acc": 0.82}], "summary": {"total_epochs": 8, "degraded_epochs": 3, "improved_epochs": 5, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.7090466022491455, "final_val_loss": 0.6688237190246582, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.44339436292648315, "final_val_loss": 0.44801613688468933, "initial_val_acc": 0.84, "final_val_acc": 0.82, "best_val_acc": 0.84, "best_epoch": 3}, "improvement": 0.37999999999999995, "first_improvement_epoch": 2}}
|
167
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.54, "improved_accuracy": 0.86, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2034, "learning_rate": 0.07562765705500343, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.231823,
0.775123,
0.357569,
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0.268703
],
[
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0.248018,
0.554207
],
[
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-0.528062
],
[
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0.411496,
0.454889,
0.226959
],
[
-0.034965,
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0.721453,
0.177318,
-0.072145
],
[
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-0.429754
]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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],
[
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0.013783
],
[
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],
[
0.07512,
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],
[
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0.164397,
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0.294628
],
[
0.100396,
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0.224554
]
],
"network.2.bias": [
0.054666,
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],
"network.4.weight": [
[
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],
[
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0.245438,
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0.235252,
0.06746
],
[
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],
[
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[
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],
[
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]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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[
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[
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[
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[
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[
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],
"network.6.bias": [
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],
"network.8.weight": [
[
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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [2.682429, 2.425684, -2.086244, 1.164086, 1.366370, -2.578208]
std: [2.011811, 2.181003, 1.516915, 1.462058, 1.396635, 1.801343]
pca: [[0.518427, -0.020504, 0.589019, 0.496026, 0.370623, 0.021595, 0.000000, 0.000000, 0.000000, 0.000000], [0.569582, -0.230086, -0.513295, -0.355159, 0.482499, -0.014879, 0.000000, 0.000000, 0.000000, 0.000000], [-0.418632, 0.004478, 0.224670, -0.271106, 0.555098, 0.626593, 0.000000, 0.000000, 0.000000, 0.000000], [-0.023392, 0.639721, -0.503060, 0.506298, 0.177041, 0.222394, 0.000000, 0.000000, 0.000000, 0.000000], [0.027751, 0.672624, 0.263355, -0.456186, 0.217838, -0.471053, 0.000000, 0.000000, 0.000000, 0.000000], [-0.479833, -0.291468, -0.129166, 0.299796, 0.492851, -0.579088, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.283546, 28.971584, 33.634184, 42.397470, 241.418568], [35.509603, 35.880650, 37.953699, 42.128471, 218.311545], [22.908327, 27.122750, 29.345505, 29.530121, 187.761908], [20.744496, 21.789714, 27.270066, 30.259087, 104.767727], [22.515797, 24.031004, 24.762172, 32.078922, 122.973309], [28.663480, 32.711062, 35.180371, 36.292167, 232.038754]]
### 2
mean: [2.016269, -1.893015, -3.003795, 0.505337, -3.485318, -1.721076]
std: [2.223050, 1.059313, 2.023017, 0.799956, 2.256643, 0.981630]
pca: [[-0.548175, 0.530298, 0.235187, -0.060655, 0.448009, -0.398226, 0.000000, 0.000000, 0.000000, 0.000000], [0.192958, 0.502286, -0.216983, 0.249473, -0.622101, -0.462761, 0.000000, 0.000000, 0.000000, 0.000000], [0.530095, 0.088926, -0.490774, 0.159309, 0.631321, -0.215144, 0.000000, 0.000000, 0.000000, 0.000000], [-0.186426, 0.233021, -0.027063, 0.799093, 0.076715, 0.515537, 0.000000, 0.000000, 0.000000, 0.000000], [0.580583, 0.228068, 0.773682, 0.057401, 0.083065, 0.046143, 0.000000, 0.000000, 0.000000, 0.000000], [0.097158, 0.593524, -0.239645, -0.516585, -0.030441, 0.559529, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.216101, 33.068507, 38.249491, 39.466372, 181.464207], [17.149173, 17.301905, 17.623577, 19.543944, 170.371348], [31.608406, 31.926986, 34.142717, 39.459914, 270.341551], [12.755516, 13.373077, 13.486413, 13.879125, 45.480340], [34.484508, 36.138500, 42.901169, 44.469525, 313.678657], [16.004530, 16.353666, 16.382264, 16.713267, 154.896800]]
### 4
mean: [-0.834971, -0.295058, -1.561449, -1.332147, -1.121004, 1.143015]
std: [1.297715, 1.004601, 1.472853, 1.170792, 0.749550, 1.025077]
pca: [[0.463465, -0.183214, -0.049340, -0.252551, 0.188832, 0.806076, 0.000000, 0.000000, 0.000000, 0.000000], [0.358345, 0.615309, -0.389820, 0.307302, -0.482067, 0.119167, 0.000000, 0.000000, 0.000000, 0.000000], [0.526013, 0.210123, -0.213982, -0.444273, 0.423887, -0.506272, 0.000000, 0.000000, 0.000000, 0.000000], [0.418001, -0.394570, -0.023581, 0.756121, 0.269201, -0.157626, 0.000000, 0.000000, 0.000000, 0.000000], [0.267481, 0.375855, 0.884136, 0.072945, 0.011579, 0.005897, 0.000000, 0.000000, 0.000000, 0.000000], [-0.365826, 0.496713, -0.132529, 0.259548, 0.692582, 0.234197, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.759143, 20.329803, 20.567051, 24.637884, 75.147396], [15.666633, 15.849117, 16.319735, 19.005853, 26.555181], [22.573604, 23.313361, 23.403932, 27.935883, 140.530379], [17.740002, 18.155274, 18.565642, 22.237443, 119.893242], [11.636329, 11.836152, 12.115007, 14.190670, 100.890362], [15.472339, 15.770483, 16.258887, 19.473291, 102.871356]]
### 6
mean: [0.522348, -0.240216, -0.577795, -0.640473, 0.551389, 0.224027]
std: [0.549065, 0.073868, 0.100374, 0.427470, 0.609305, 0.525328]
pca: [[0.515521, 0.385568, 0.157125, -0.413088, 0.596024, 0.187086, 0.000000, 0.000000, 0.000000, 0.000000], [0.065386, -0.046329, 0.689683, 0.035151, -0.376280, 0.612449, 0.000000, 0.000000, 0.000000, 0.000000], [-0.052601, -0.512860, -0.356072, 0.213666, 0.425554, 0.616986, 0.000000, 0.000000, 0.000000, 0.000000], [-0.398358, -0.422724, 0.561491, -0.156379, 0.464395, -0.327453, 0.000000, 0.000000, 0.000000, 0.000000], [0.575267, -0.155272, 0.219416, 0.707434, 0.124581, -0.284310, 0.000000, 0.000000, 0.000000, 0.000000], [-0.487416, 0.619161, 0.097196, 0.507497, 0.301479, 0.145518, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.252711, 8.531122, 8.630283, 10.474653, 47.011355], [1.045082, 1.262357, 1.342164, 1.407760, 21.619432], [1.663537, 1.762869, 2.044550, 2.146546, 52.001516], [6.520367, 6.559553, 6.818905, 8.010638, 57.642540], [8.781064, 9.516259, 10.000091, 11.794127, 49.625038], [7.807785, 8.036451, 8.889759, 10.059160, 20.162430]]
### 8
mean: [-0.502138]
std: [0.734933]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.336198, 11.477892, 12.001613, 14.331517, 45.192452]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.231823,
0.775123,
0.357569,
-0.288625,
0.268703
],
[
0.53881,
0.579125,
-0.247305,
0.248018,
0.554207
],
[
-0.215638,
-0.437359,
-0.012105,
-0.051541,
-0.528062
],
[
-0.311939,
-0.378738,
0.411496,
0.454889,
0.226959
],
[
-0.034965,
-0.420554,
0.721453,
0.177318,
-0.072145
],
[
-0.329884,
-0.262567,
-0.422237,
-0.042445,
-0.429754
]
],
"network.0.bias": [
0.522108,
0.001079,
-0.23384,
0.127454,
0.377918,
-0.186175
],
"network.2.weight": [
[
0.671851,
0.418441,
0.073943,
-0.416075,
-0.229849,
-0.369726
],
[
-0.161394,
-0.236659,
-0.149744,
-0.613703,
-0.010451,
0.013783
],
[
-0.569843,
-0.500443,
-0.383094,
-0.306167,
0.205941,
0.316781
],
[
0.07512,
0.272001,
-0.0838,
-0.421952,
0.14317,
-0.403017
],
[
-0.533963,
-0.584211,
-0.318059,
0.164397,
-0.600372,
0.294628
],
[
0.100396,
-0.29278,
-0.189366,
-0.546196,
-0.17545,
0.224554
]
],
"network.2.bias": [
0.054666,
-0.04333,
-0.121215,
-0.01529,
0.044053,
-0.290377
],
"network.4.weight": [
[
-0.536098,
-0.108641,
-0.31509,
-0.219202,
0.058639,
-0.271041
],
[
-0.290821,
0.245438,
-0.245666,
-0.538976,
0.235252,
0.06746
],
[
-0.540125,
0.312551,
0.243699,
-0.452894,
-0.085203,
0.386985
],
[
-0.520962,
-0.303479,
0.149471,
-0.085811,
-0.126038,
0.148696
],
[
-0.230701,
0.336935,
-0.029694,
-0.361614,
0.210564,
-0.387274
],
[
0.480665,
-0.074036,
0.19501,
0.001221,
-0.326296,
-0.189764
]
],
"network.4.bias": [
0.413843,
0.625498,
-0.168963,
-0.192205,
-0.428912,
0.136363
],
"network.6.weight": [
[
0.153893,
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0.238609,
-0.045846,
0.522675
],
[
0.335766,
-0.344048,
-0.262446,
0.315673,
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0.030514
],
[
-0.385016,
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-0.102905,
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],
[
0.192483,
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-0.201877,
-0.413443,
-0.064666,
-0.446113
],
[
-0.039051,
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-0.331869,
-0.002581,
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0.460738
],
[
0.37789,
0.761701,
0.551492,
0.192717,
-0.083029,
-0.296009
]
],
"network.6.bias": [
-0.057559,
-0.227834,
-0.320331,
-0.0919,
0.17847,
0.33162
],
"network.8.weight": [
[
-0.409782,
0.073688,
-0.01333,
0.046103,
-0.567103,
0.561844
]
],
"network.8.bias": [
-0.157037
]
}
## Activation Signature
### 0
mean: [2.682429, 2.425684, -2.086244, 1.164086, 1.366370, -2.578208]
std: [2.011811, 2.181003, 1.516915, 1.462058, 1.396635, 1.801343]
pca: [[0.518427, -0.020504, 0.589019, 0.496026, 0.370623, 0.021595, 0.000000, 0.000000, 0.000000, 0.000000], [0.569582, -0.230086, -0.513295, -0.355159, 0.482499, -0.014879, 0.000000, 0.000000, 0.000000, 0.000000], [-0.418632, 0.004478, 0.224670, -0.271106, 0.555098, 0.626593, 0.000000, 0.000000, 0.000000, 0.000000], [-0.023392, 0.639721, -0.503060, 0.506298, 0.177041, 0.222394, 0.000000, 0.000000, 0.000000, 0.000000], [0.027751, 0.672624, 0.263355, -0.456186, 0.217838, -0.471053, 0.000000, 0.000000, 0.000000, 0.000000], [-0.479833, -0.291468, -0.129166, 0.299796, 0.492851, -0.579088, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.283546, 28.971584, 33.634184, 42.397470, 241.418568], [35.509603, 35.880650, 37.953699, 42.128471, 218.311545], [22.908327, 27.122750, 29.345505, 29.530121, 187.761908], [20.744496, 21.789714, 27.270066, 30.259087, 104.767727], [22.515797, 24.031004, 24.762172, 32.078922, 122.973309], [28.663480, 32.711062, 35.180371, 36.292167, 232.038754]]
### 2
mean: [2.016269, -1.893015, -3.003795, 0.505337, -3.485318, -1.721076]
std: [2.223050, 1.059313, 2.023017, 0.799956, 2.256643, 0.981630]
pca: [[-0.548175, 0.530298, 0.235187, -0.060655, 0.448009, -0.398226, 0.000000, 0.000000, 0.000000, 0.000000], [0.192958, 0.502286, -0.216983, 0.249473, -0.622101, -0.462761, 0.000000, 0.000000, 0.000000, 0.000000], [0.530095, 0.088926, -0.490774, 0.159309, 0.631321, -0.215144, 0.000000, 0.000000, 0.000000, 0.000000], [-0.186426, 0.233021, -0.027063, 0.799093, 0.076715, 0.515537, 0.000000, 0.000000, 0.000000, 0.000000], [0.580583, 0.228068, 0.773682, 0.057401, 0.083065, 0.046143, 0.000000, 0.000000, 0.000000, 0.000000], [0.097158, 0.593524, -0.239645, -0.516585, -0.030441, 0.559529, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.216101, 33.068507, 38.249491, 39.466372, 181.464207], [17.149173, 17.301905, 17.623577, 19.543944, 170.371348], [31.608406, 31.926986, 34.142717, 39.459914, 270.341551], [12.755516, 13.373077, 13.486413, 13.879125, 45.480340], [34.484508, 36.138500, 42.901169, 44.469525, 313.678657], [16.004530, 16.353666, 16.382264, 16.713267, 154.896800]]
### 4
mean: [-0.834971, -0.295058, -1.561449, -1.332147, -1.121004, 1.143015]
std: [1.297715, 1.004601, 1.472853, 1.170792, 0.749550, 1.025077]
pca: [[0.463465, -0.183214, -0.049340, -0.252551, 0.188832, 0.806076, 0.000000, 0.000000, 0.000000, 0.000000], [0.358345, 0.615309, -0.389820, 0.307302, -0.482067, 0.119167, 0.000000, 0.000000, 0.000000, 0.000000], [0.526013, 0.210123, -0.213982, -0.444273, 0.423887, -0.506272, 0.000000, 0.000000, 0.000000, 0.000000], [0.418001, -0.394570, -0.023581, 0.756121, 0.269201, -0.157626, 0.000000, 0.000000, 0.000000, 0.000000], [0.267481, 0.375855, 0.884136, 0.072945, 0.011579, 0.005897, 0.000000, 0.000000, 0.000000, 0.000000], [-0.365826, 0.496713, -0.132529, 0.259548, 0.692582, 0.234197, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.759143, 20.329803, 20.567051, 24.637884, 75.147396], [15.666633, 15.849117, 16.319735, 19.005853, 26.555181], [22.573604, 23.313361, 23.403932, 27.935883, 140.530379], [17.740002, 18.155274, 18.565642, 22.237443, 119.893242], [11.636329, 11.836152, 12.115007, 14.190670, 100.890362], [15.472339, 15.770483, 16.258887, 19.473291, 102.871356]]
### 6
mean: [0.522348, -0.240216, -0.577795, -0.640473, 0.551389, 0.224027]
std: [0.549065, 0.073868, 0.100374, 0.427470, 0.609305, 0.525328]
pca: [[0.515521, 0.385568, 0.157125, -0.413088, 0.596024, 0.187086, 0.000000, 0.000000, 0.000000, 0.000000], [0.065386, -0.046329, 0.689683, 0.035151, -0.376280, 0.612449, 0.000000, 0.000000, 0.000000, 0.000000], [-0.052601, -0.512860, -0.356072, 0.213666, 0.425554, 0.616986, 0.000000, 0.000000, 0.000000, 0.000000], [-0.398358, -0.422724, 0.561491, -0.156379, 0.464395, -0.327453, 0.000000, 0.000000, 0.000000, 0.000000], [0.575267, -0.155272, 0.219416, 0.707434, 0.124581, -0.284310, 0.000000, 0.000000, 0.000000, 0.000000], [-0.487416, 0.619161, 0.097196, 0.507497, 0.301479, 0.145518, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.252711, 8.531122, 8.630283, 10.474653, 47.011355], [1.045082, 1.262357, 1.342164, 1.407760, 21.619432], [1.663537, 1.762869, 2.044550, 2.146546, 52.001516], [6.520367, 6.559553, 6.818905, 8.010638, 57.642540], [8.781064, 9.516259, 10.000091, 11.794127, 49.625038], [7.807785, 8.036451, 8.889759, 10.059160, 20.162430]]
### 8
mean: [-0.502138]
std: [0.734933]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.336198, 11.477892, 12.001613, 14.331517, 45.192452]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
mountain_pattern
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.6824285984039307, "std": 2.011810779571533, "pca": [0.518427312374115, -0.020503617823123932, 0.5890189409255981, 0.4960259795188904, 0.3706228733062744, 0.021594678983092308, 0.0, 0.0, 0.0, 0.0], "fourier": [28.283546231142033, 28.971583884577633, 33.634184493654914, 42.39747043922535, 241.41856786608696]}, "1": {"mean": 2.4256839752197266, "std": 2.1810028553009033, "pca": [0.5695819854736328, -0.2300863265991211, -0.5132949352264404, -0.3551589846611023, 0.4824993908405304, -0.01487902645021677, 0.0, 0.0, 0.0, 0.0], "fourier": [35.50960335872678, 35.88065020511839, 37.95369850155787, 42.128471313134504, 218.31154506653547]}, "2": {"mean": -2.0862436294555664, "std": 1.516914963722229, "pca": [-0.4186316728591919, 0.004477610811591148, 0.22466973960399628, -0.27110645174980164, 0.5550978183746338, 0.6265929341316223, 0.0, 0.0, 0.0, 0.0], "fourier": [22.90832732083863, 27.122750003752387, 29.345504800977356, 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232.0387535840273]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": 2.0162692070007324, "std": 2.223050117492676, "pca": [-0.5481746196746826, 0.5302984118461609, 0.23518666625022888, -0.06065457686781883, 0.4480092227458954, -0.3982263207435608, 0.0, 0.0, 0.0, 0.0], "fourier": [32.2161013669629, 33.06850724965067, 38.24949144871086, 39.466371608109085, 181.4642070159316]}, "1": {"mean": -1.8930150270462036, "std": 1.0593127012252808, "pca": [0.1929582804441452, 0.5022857189178467, -0.21698275208473206, 0.24947339296340942, -0.6221010684967041, -0.4627612233161926, 0.0, 0.0, 0.0, 0.0], "fourier": [17.14917294932787, 17.30190507736644, 17.623576897820225, 19.543943831593054, 170.3713475316763]}, "2": {"mean": -3.0037951469421387, "std": 2.023017168045044, "pca": [0.5300946831703186, 0.0889260321855545, -0.4907742440700531, 0.15930919349193573, 0.6313210725784302, -0.2151435762643814, 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"fourier": [16.004530366776088, 16.353665781779476, 16.382263666742507, 16.713266789101986, 154.89679977297783]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "4": {"neuron_profiles": {"0": {"mean": -0.834971010684967, "std": 1.297715187072754, "pca": [0.4634649455547333, -0.18321429193019867, -0.04934045299887657, -0.25255054235458374, 0.18883207440376282, 0.8060762882232666, 0.0, 0.0, 0.0, 0.0], "fourier": [19.759142798533873, 20.329802605820202, 20.567051279474992, 24.63788438022998, 75.14739552140236]}, "1": {"mean": -0.29505759477615356, "std": 1.0046011209487915, "pca": [0.35834529995918274, 0.6153086423873901, -0.38982048630714417, 0.30730196833610535, -0.48206692934036255, 0.1191672682762146, 0.0, 0.0, 0.0, 0.0], "fourier": [15.666633161820767, 15.849117013665921, 16.31973460434251, 19.005852688091803, 26.555181443691254]}, "2": {"mean": -1.5614486932754517, "std": 1.4728528261184692, "pca": [0.5260127186775208, 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0.4967131018638611, -0.1325293779373169, 0.2595483958721161, 0.6925823092460632, 0.23419684171676636, 0.0, 0.0, 0.0, 0.0], "fourier": [15.47233868990255, 15.77048325655054, 16.258886792996048, 19.47329119247069, 102.87135580182076]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "6": {"neuron_profiles": {"0": {"mean": 0.5223484039306641, "std": 0.5490652918815613, "pca": [0.5155206322669983, 0.3855684697628021, 0.15712516009807587, -0.4130881130695343, 0.5960235595703125, 0.18708617985248566, 0.0, 0.0, 0.0, 0.0], "fourier": [8.252710922744194, 8.531121609570006, 8.630283123920824, 10.474652744378108, 47.01135549321771]}, "1": {"mean": -0.24021589756011963, "std": 0.07386796921491623, "pca": [0.0653863474726677, -0.0463288314640522, 0.6896827220916748, 0.03515103831887245, -0.37628015875816345, 0.6124488711357117, 0.0, 0.0, 0.0, 0.0], "fourier": [1.045082477252589, 1.262357093241878, 1.342164126511815, 1.4077601258177344, 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49.625038489699364]}, "5": {"mean": 0.22402699291706085, "std": 0.5253279805183411, "pca": [-0.48741602897644043, 0.6191609501838684, 0.09719590097665787, 0.5074968338012695, 0.3014790415763855, 0.14551837742328644, 0.0, 0.0, 0.0, 0.0], "fourier": [7.807785306258157, 8.036450830644606, 8.889759422758456, 10.059159581785194, 20.162430092692375]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -0.5021383762359619, "std": 0.7349326610565186, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [10.336197564789181, 11.47789168276258, 12.001612545385777, 14.331517185929807, 45.192451648414135]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.231823, 0.775123, 0.357569, -0.288625, 0.268703], [0.53881, 0.579125, -0.247305, 0.248018, 0.554207], [-0.215638, -0.437359, -0.012105, -0.051541, -0.528062], [-0.311939, -0.378738, 0.411496, 0.454889, 0.226959], [-0.034965, -0.420554, 0.721453, 0.177318, -0.072145], [-0.329884, -0.262567, -0.422237, -0.042445, -0.429754]], "network.0.bias": [0.522108, 0.001079, -0.23384, 0.127454, 0.377918, -0.186175], "network.2.weight": [[0.671851, 0.418441, 0.073943, -0.416075, -0.229849, -0.369726], [-0.161394, -0.236659, -0.149744, -0.613703, -0.010451, 0.013783], [-0.569843, -0.500443, -0.383094, -0.306167, 0.205941, 0.316781], [0.07512, 0.272001, -0.0838, -0.421952, 0.14317, -0.403017], [-0.533963, -0.584211, -0.318059, 0.164397, -0.600372, 0.294628], [0.100396, -0.29278, -0.189366, -0.546196, -0.17545, 0.224554]], "network.2.bias": [0.054666, -0.04333, -0.121215, -0.01529, 0.044053, -0.290377], "network.4.weight": [[-0.536098, -0.108641, -0.31509, -0.219202, 0.058639, -0.271041], [-0.290821, 0.245438, -0.245666, -0.538976, 0.235252, 0.06746], [-0.540125, 0.312551, 0.243699, -0.452894, -0.085203, 0.386985], [-0.520962, -0.303479, 0.149471, -0.085811, -0.126038, 0.148696], [-0.230701, 0.336935, -0.029694, -0.361614, 0.210564, -0.387274], [0.480665, -0.074036, 0.19501, 0.001221, -0.326296, -0.189764]], "network.4.bias": [0.413843, 0.625498, -0.168963, -0.192205, -0.428912, 0.136363], "network.6.weight": [[0.153893, -0.140928, -0.091309, 0.238609, -0.045846, 0.522675], [0.335766, -0.344048, -0.262446, 0.315673, -0.352388, 0.030514], [-0.385016, -0.203259, -0.102905, -0.40616, -0.36585, -0.143414], [0.192483, -0.244027, -0.201877, -0.413443, -0.064666, -0.446113], [-0.039051, -0.604192, -0.331869, -0.002581, -0.397565, 0.460738], [0.37789, 0.761701, 0.551492, 0.192717, -0.083029, -0.296009]], "network.6.bias": [-0.057559, -0.227834, -0.320331, -0.0919, 0.17847, 0.33162], "network.8.weight": [[-0.409782, 0.073688, -0.01333, 0.046103, -0.567103, 0.561844]], "network.8.bias": [-0.157037]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.684227705001831, "train_acc": 0.575, "val_loss": 0.6849209070205688, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6691927015781403, "train_acc": 0.575, "val_loss": 0.6272087097167969, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6171939969062805, "train_acc": 0.595, "val_loss": 0.47991135716438293, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.46955862641334534, "train_acc": 0.815, "val_loss": 0.35727736353874207, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4583929628133774, "train_acc": 0.785, "val_loss": 0.437408983707428, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4071122407913208, "train_acc": 0.84, "val_loss": 0.3777942657470703, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.5145675837993622, "train_acc": 0.81, "val_loss": 0.387951135635376, "val_acc": 0.82}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6849209070205688, "final_val_loss": 0.6272087097167969, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.47991135716438293, "final_val_loss": 0.387951135635376, "initial_val_acc": 0.86, "final_val_acc": 0.82, "best_val_acc": 0.86, "best_epoch": 2}, "improvement": 0.31999999999999995, "first_improvement_epoch": 1}}
|
168
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6842, "learning_rate": 0.06969084560592119, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.303454,
-0.295365,
0.435352,
-0.471417
],
[
0.521158,
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0.13289,
0.348682,
0.567168
],
[
0.642166,
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0.118831,
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],
[
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0.39465,
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],
[
-0.293025,
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0.162502,
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]
],
"network.0.bias": [
0.195021,
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],
"network.2.weight": [
[
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],
[
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],
[
-0.326734,
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-0.073113,
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0.066024
],
[
0.024912,
0.215081,
0.01898,
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0.532462
],
[
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0.736144,
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0.31037
]
],
"network.2.bias": [
0.324806,
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],
"network.4.weight": [
[
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],
[
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0.209734,
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],
[
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0.031273,
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0.55298
],
[
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],
[
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]
],
"network.4.bias": [
0.261757,
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0.263536
],
"network.6.weight": [
[
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],
[
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0.229782,
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],
[
0.573162,
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],
[
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[
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]
],
"network.6.bias": [
0.176208,
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],
"network.8.weight": [
[
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],
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[
0.204021,
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[
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[
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],
"network.8.bias": [
0.010167,
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],
"network.10.weight": [
[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.198924, 1.502416, 0.382767, -0.810887, 0.616658]
std: [2.014816, 1.804369, 1.166647, 1.343702, 1.346733]
pca: [[0.718424, -0.445680, -0.005809, 0.534042, 0.001677, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.627142, -0.451277, 0.038911, 0.468820, -0.426305, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.203451, 0.020524, 0.656662, 0.295883, 0.662899, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.078361, 0.635726, -0.426699, 0.631009, 0.097303, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.207432, -0.439487, -0.620625, -0.096379, 0.607749, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.706298, 33.552212, 34.140766, 35.740801, 41.924498], [27.460183, 31.743723, 37.265349, 39.661413, 135.217430], [21.354682, 21.432891, 22.284555, 23.923924, 34.449025], [20.820663, 21.629152, 25.090274, 26.782786, 72.979813], [21.106684, 21.894853, 21.905049, 25.747403, 55.499257]]
### 2
mean: [0.209005, 0.132633, -1.195550, 0.630501, 1.243386]
std: [0.929559, 0.817572, 0.832869, 0.879285, 1.528266]
pca: [[-0.394003, -0.495920, -0.008216, 0.700430, 0.328869, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.325800, -0.496801, -0.313829, -0.678322, 0.297379, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.328447, 0.520038, 0.410188, -0.122624, 0.662112, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.329424, -0.485239, 0.793681, -0.159852, 0.023230, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.722646, -0.036806, -0.321340, 0.093210, 0.603722, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.427425, 17.204936, 17.895038, 18.810439, 21.568311], [13.773421, 14.768736, 15.266956, 15.348052, 15.964778], [13.452380, 14.469770, 15.006396, 17.456266, 107.599484], [13.507455, 13.635003, 17.759613, 19.154394, 56.745056], [23.551758, 27.517772, 32.120827, 37.688466, 111.904785]]
### 4
mean: [0.410494, -0.354920, 0.981291, 0.069986, 0.474139]
std: [0.772795, 0.261915, 1.309614, 0.257051, 0.819808]
pca: [[0.448472, -0.236919, -0.269000, 0.801685, 0.166382, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.143117, -0.087058, -0.435803, -0.414176, 0.781327, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.754016, 0.597433, 0.213575, -0.165277, -0.040032, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.118070, -0.039649, 0.790120, 0.202173, 0.565087, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.442617, 0.760126, -0.260405, 0.342884, 0.202284, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.439744, 13.891757, 14.085428, 15.707537, 36.944490], [4.141013, 4.556878, 5.049931, 5.234724, 31.942830], [22.972877, 25.177218, 25.735112, 30.287069, 88.316181], [4.054819, 4.163243, 5.256474, 5.587255, 6.298751], [13.809764, 14.524353, 15.020685, 15.963542, 42.672494]]
### 6
mean: [0.571031, 0.720863, 0.901465, 0.059770, -0.339475]
std: [0.942500, 0.202747, 1.270609, 0.691146, 0.080066]
pca: [[0.546293, -0.021843, 0.779958, 0.272271, 0.136458, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.030782, 0.812925, 0.136482, -0.441159, 0.353492, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.736535, 0.308680, -0.469573, 0.076826, -0.368553, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.395499, 0.488576, 0.154702, 0.615134, -0.450058, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.041390, 0.068455, -0.358618, 0.589029, 0.719749, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.011666, 17.905910, 18.187829, 22.015868, 51.392835], [3.170626, 3.483656, 3.494750, 3.661080, 64.877652], [23.031238, 23.616843, 23.764994, 29.030437, 81.131833], [11.348280, 11.535024, 12.641705, 12.735932, 14.477702], [1.225583, 1.295407, 1.612325, 1.660016, 30.552740]]
### 8
mean: [0.220827, 0.241168, -0.689764, 0.560585, -0.004981]
std: [0.192231, 1.003055, 0.278405, 0.794012, 1.008920]
pca: [[0.106638, -0.419291, 0.503909, 0.739636, -0.108799, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.606352, 0.045500, -0.352246, 0.435909, 0.562293, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.140740, 0.847773, 0.481317, 0.165977, -0.047519, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.478739, -0.314430, 0.606733, -0.483714, 0.264269, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.609891, 0.067367, 0.149021, -0.037338, 0.774528, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.215042, 3.325749, 3.521743, 3.539733, 19.874450], [17.589415, 18.405619, 18.635816, 21.705152, 23.074417], [4.616469, 4.784474, 4.947554, 5.059722, 62.078802], [14.422858, 14.539617, 14.546645, 18.870471, 50.452657], [15.998723, 17.878905, 18.494611, 18.684649, 23.401352]]
### 10
mean: [-0.441299]
std: [0.808972]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.190119, 14.653350, 15.106097, 18.866185, 39.716873]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.548112,
0.303454,
-0.295365,
0.435352,
-0.471417
],
[
0.521158,
-0.42023,
0.13289,
0.348682,
0.567168
],
[
0.642166,
-0.159442,
-0.144256,
0.118831,
-0.170999
],
[
-0.181136,
-0.330639,
0.39465,
-0.380667,
-0.08986
],
[
-0.293025,
-0.101909,
0.123319,
0.162502,
0.623069
]
],
"network.0.bias": [
0.195021,
-0.105211,
0.131575,
0.119792,
-0.207517
],
"network.2.weight": [
[
0.571944,
-0.248469,
-0.259662,
0.152178,
0.03242
],
[
0.518976,
-0.078139,
-0.308278,
0.662404,
-0.142536
],
[
-0.326734,
-0.531586,
-0.073113,
-0.296548,
0.066024
],
[
0.024912,
0.215081,
0.01898,
-0.074737,
0.532462
],
[
-0.149458,
0.486187,
0.736144,
0.090472,
0.31037
]
],
"network.2.bias": [
0.324806,
0.07806,
-0.067711,
-0.173748,
-0.172205
],
"network.4.weight": [
[
-0.19107,
-0.516367,
-0.049245,
0.407233,
0.137094
],
[
0.095727,
-0.359312,
-0.232407,
0.209734,
-0.002276
],
[
-0.047935,
-0.226508,
0.031273,
0.595549,
0.55298
],
[
-0.243451,
0.396485,
-0.105021,
-0.309215,
0.048536
],
[
0.458042,
0.660125,
-0.270032,
-0.163409,
-0.130119
]
],
"network.4.bias": [
0.261757,
-0.391926,
-0.026117,
0.168968,
0.263536
],
"network.6.weight": [
[
0.188533,
0.240478,
0.488479,
0.398063,
-0.470247
],
[
-0.247203,
0.361803,
0.229782,
0.328857,
0.307199
],
[
0.573162,
0.124603,
0.583453,
-0.256797,
-0.344289
],
[
-0.220732,
-0.327461,
-0.207737,
0.403461,
0.456756
],
[
0.241068,
-0.364313,
-0.036568,
-0.116233,
0.047593
]
],
"network.6.bias": [
0.176208,
0.376077,
0.222499,
0.07204,
-0.435275
],
"network.8.weight": [
[
0.069029,
0.419382,
-0.162483,
0.071315,
-0.209902
],
[
0.241404,
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0.572,
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-0.315695
],
[
0.204021,
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],
[
0.472839,
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0.302184,
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],
[
-0.314336,
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0.35426,
0.337944
]
],
"network.8.bias": [
0.010167,
-0.144541,
-0.304235,
0.10286,
0.4253
],
"network.10.weight": [
[
0.431658,
-0.445953,
0.278083,
-0.376081,
0.37342
]
],
"network.10.bias": [
-0.220239
]
}
## Activation Signature
### 0
mean: [-0.198924, 1.502416, 0.382767, -0.810887, 0.616658]
std: [2.014816, 1.804369, 1.166647, 1.343702, 1.346733]
pca: [[0.718424, -0.445680, -0.005809, 0.534042, 0.001677, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.627142, -0.451277, 0.038911, 0.468820, -0.426305, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.203451, 0.020524, 0.656662, 0.295883, 0.662899, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.078361, 0.635726, -0.426699, 0.631009, 0.097303, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.207432, -0.439487, -0.620625, -0.096379, 0.607749, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.706298, 33.552212, 34.140766, 35.740801, 41.924498], [27.460183, 31.743723, 37.265349, 39.661413, 135.217430], [21.354682, 21.432891, 22.284555, 23.923924, 34.449025], [20.820663, 21.629152, 25.090274, 26.782786, 72.979813], [21.106684, 21.894853, 21.905049, 25.747403, 55.499257]]
### 2
mean: [0.209005, 0.132633, -1.195550, 0.630501, 1.243386]
std: [0.929559, 0.817572, 0.832869, 0.879285, 1.528266]
pca: [[-0.394003, -0.495920, -0.008216, 0.700430, 0.328869, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.325800, -0.496801, -0.313829, -0.678322, 0.297379, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.328447, 0.520038, 0.410188, -0.122624, 0.662112, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.329424, -0.485239, 0.793681, -0.159852, 0.023230, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.722646, -0.036806, -0.321340, 0.093210, 0.603722, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.427425, 17.204936, 17.895038, 18.810439, 21.568311], [13.773421, 14.768736, 15.266956, 15.348052, 15.964778], [13.452380, 14.469770, 15.006396, 17.456266, 107.599484], [13.507455, 13.635003, 17.759613, 19.154394, 56.745056], [23.551758, 27.517772, 32.120827, 37.688466, 111.904785]]
### 4
mean: [0.410494, -0.354920, 0.981291, 0.069986, 0.474139]
std: [0.772795, 0.261915, 1.309614, 0.257051, 0.819808]
pca: [[0.448472, -0.236919, -0.269000, 0.801685, 0.166382, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.143117, -0.087058, -0.435803, -0.414176, 0.781327, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.754016, 0.597433, 0.213575, -0.165277, -0.040032, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.118070, -0.039649, 0.790120, 0.202173, 0.565087, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.442617, 0.760126, -0.260405, 0.342884, 0.202284, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.439744, 13.891757, 14.085428, 15.707537, 36.944490], [4.141013, 4.556878, 5.049931, 5.234724, 31.942830], [22.972877, 25.177218, 25.735112, 30.287069, 88.316181], [4.054819, 4.163243, 5.256474, 5.587255, 6.298751], [13.809764, 14.524353, 15.020685, 15.963542, 42.672494]]
### 6
mean: [0.571031, 0.720863, 0.901465, 0.059770, -0.339475]
std: [0.942500, 0.202747, 1.270609, 0.691146, 0.080066]
pca: [[0.546293, -0.021843, 0.779958, 0.272271, 0.136458, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.030782, 0.812925, 0.136482, -0.441159, 0.353492, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.736535, 0.308680, -0.469573, 0.076826, -0.368553, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.395499, 0.488576, 0.154702, 0.615134, -0.450058, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.041390, 0.068455, -0.358618, 0.589029, 0.719749, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.011666, 17.905910, 18.187829, 22.015868, 51.392835], [3.170626, 3.483656, 3.494750, 3.661080, 64.877652], [23.031238, 23.616843, 23.764994, 29.030437, 81.131833], [11.348280, 11.535024, 12.641705, 12.735932, 14.477702], [1.225583, 1.295407, 1.612325, 1.660016, 30.552740]]
### 8
mean: [0.220827, 0.241168, -0.689764, 0.560585, -0.004981]
std: [0.192231, 1.003055, 0.278405, 0.794012, 1.008920]
pca: [[0.106638, -0.419291, 0.503909, 0.739636, -0.108799, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.606352, 0.045500, -0.352246, 0.435909, 0.562293, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.140740, 0.847773, 0.481317, 0.165977, -0.047519, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.478739, -0.314430, 0.606733, -0.483714, 0.264269, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.609891, 0.067367, 0.149021, -0.037338, 0.774528, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.215042, 3.325749, 3.521743, 3.539733, 19.874450], [17.589415, 18.405619, 18.635816, 21.705152, 23.074417], [4.616469, 4.784474, 4.947554, 5.059722, 62.078802], [14.422858, 14.539617, 14.546645, 18.870471, 50.452657], [15.998723, 17.878905, 18.494611, 18.684649, 23.401352]]
### 10
mean: [-0.441299]
std: [0.808972]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.190119, 14.653350, 15.106097, 18.866185, 39.716873]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.19892387092113495, "std": 2.0148158073425293, "pca": [0.7184238433837891, -0.44567957520484924, -0.005808641668409109, 0.5340415835380554, 0.001676916261203587, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [31.706298012913184, 33.55221245121903, 34.14076647403994, 35.74080127524459, 41.92449817366556]}, "1": {"mean": 1.5024160146713257, "std": 1.8043694496154785, "pca": [-0.6271415948867798, -0.45127734541893005, 0.03891103342175484, 0.46881982684135437, -0.4263051748275757, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [27.460182632460555, 31.743722984589162, 37.26534878971987, 39.66141348794836, 135.21742951869965]}, "2": {"mean": 0.3827669322490692, "std": 1.16664719581604, "pca": [-0.2034505307674408, 0.020524371415376663, 0.656662106513977, 0.2958827614784241, 0.66289883852005, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [21.354682130252623, 21.432891497112298, 22.28455480662416, 23.923923661462066, 34.449024528265]}, "3": {"mean": -0.810886800289154, "std": 1.3437016010284424, "pca": [-0.07836092263460159, 0.6357263326644897, -0.4266986846923828, 0.6310087442398071, 0.0973026230931282, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [20.82066331488555, 21.629152125106494, 25.090273500978633, 26.78278623457833, 72.97981325536966]}, "4": {"mean": 0.6166584491729736, "std": 1.3467334508895874, "pca": [-0.20743213593959808, -0.439487487077713, -0.6206248998641968, -0.09637928009033203, 0.6077486276626587, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [21.106684357397263, 21.8948532361718, 21.905048616282556, 25.747403025360587, 55.49925744533539]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": 0.20900489389896393, "std": 0.9295588135719299, "pca": [-0.39400333166122437, -0.49592047929763794, -0.008215687237679958, 0.7004299759864807, 0.32886868715286255, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [15.427424642872847, 17.204936403595323, 17.895037594367075, 18.810439452528954, 21.568311188151746]}, "1": {"mean": 0.13263292610645294, "std": 0.8175724744796753, "pca": [-0.325800359249115, -0.49680083990097046, -0.31382858753204346, -0.678321897983551, 0.29737868905067444, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [13.773420536570514, 14.768736480487174, 15.266956197108128, 15.348051559087422, 15.964777601290226]}, "2": {"mean": -1.1955498456954956, "std": 0.832868754863739, "pca": [-0.32844680547714233, 0.5200384259223938, 0.41018810868263245, -0.12262360006570816, 0.6621116995811462, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [13.452379824107682, 14.469769892132703, 15.006395940579694, 17.4562655301067, 107.59948435425758]}, "3": {"mean": 0.6305005550384521, "std": 0.8792850375175476, "pca": [0.3294242322444916, -0.48523929715156555, 0.7936814427375793, -0.1598517745733261, 0.023230424150824547, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [13.507454611538103, 13.635003328101856, 17.75961295385488, 19.15439422649071, 56.745055980980396]}, 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"fourier": [14.42285770713511, 14.539617020580868, 14.546645082769475, 18.870471113306515, 50.452657263725996]}, "4": {"mean": -0.004980973433703184, "std": 1.008920431137085, "pca": [0.6098909974098206, 0.06736691296100616, 0.14902113378047943, -0.0373380146920681, 0.7745277881622314, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [15.99872297221179, 17.878904780607254, 18.49461126902302, 18.684648810266832, 23.401352252198887]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -0.44129860401153564, "std": 0.8089721202850342, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [14.190119437059902, 14.653350406092814, 15.106096930354859, 18.866184888453045, 39.71687276661396]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.548112, 0.303454, -0.295365, 0.435352, -0.471417], [0.521158, -0.42023, 0.13289, 0.348682, 0.567168], [0.642166, -0.159442, -0.144256, 0.118831, -0.170999], [-0.181136, -0.330639, 0.39465, -0.380667, -0.08986], [-0.293025, -0.101909, 0.123319, 0.162502, 0.623069]], "network.0.bias": [0.195021, -0.105211, 0.131575, 0.119792, -0.207517], "network.2.weight": [[0.571944, -0.248469, -0.259662, 0.152178, 0.03242], [0.518976, -0.078139, -0.308278, 0.662404, -0.142536], [-0.326734, -0.531586, -0.073113, -0.296548, 0.066024], [0.024912, 0.215081, 0.01898, -0.074737, 0.532462], [-0.149458, 0.486187, 0.736144, 0.090472, 0.31037]], "network.2.bias": [0.324806, 0.07806, -0.067711, -0.173748, -0.172205], "network.4.weight": [[-0.19107, -0.516367, -0.049245, 0.407233, 0.137094], [0.095727, -0.359312, -0.232407, 0.209734, -0.002276], [-0.047935, -0.226508, 0.031273, 0.595549, 0.55298], [-0.243451, 0.396485, -0.105021, -0.309215, 0.048536], [0.458042, 0.660125, -0.270032, -0.163409, -0.130119]], "network.4.bias": [0.261757, -0.391926, -0.026117, 0.168968, 0.263536], "network.6.weight": [[0.188533, 0.240478, 0.488479, 0.398063, -0.470247], [-0.247203, 0.361803, 0.229782, 0.328857, 0.307199], [0.573162, 0.124603, 0.583453, -0.256797, -0.344289], [-0.220732, -0.327461, -0.207737, 0.403461, 0.456756], [0.241068, -0.364313, -0.036568, -0.116233, 0.047593]], "network.6.bias": [0.176208, 0.376077, 0.222499, 0.07204, -0.435275], "network.8.weight": [[0.069029, 0.419382, -0.162483, 0.071315, -0.209902], [0.241404, -0.301311, 0.572, -0.418719, -0.315695], [0.204021, -0.546116, -0.041558, -0.283213, -0.126529], [0.472839, -0.160751, 0.302184, -0.168775, -0.089852], [-0.314336, 0.298929, -0.543757, 0.35426, 0.337944]], "network.8.bias": [0.010167, -0.144541, -0.304235, 0.10286, 0.4253], "network.10.weight": [[0.431658, -0.445953, 0.278083, -0.376081, 0.37342]], "network.10.bias": [-0.220239]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.679366797208786, "train_acc": 0.585, "val_loss": 0.7042234539985657, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6713444292545319, "train_acc": 0.585, "val_loss": 0.66852205991745, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.644364207983017, "train_acc": 0.51, "val_loss": 0.3864488899707794, "val_acc": 0.96}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4080764949321747, "train_acc": 0.885, "val_loss": 0.1913134604692459, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.32748162746429443, "train_acc": 0.87, "val_loss": 0.14965547621250153, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.309813529253006, "train_acc": 0.89, "val_loss": 0.1746072918176651, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2882677763700485, "train_acc": 0.895, "val_loss": 0.19331449270248413, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.23970231413841248, "train_acc": 0.915, "val_loss": 0.2131720334291458, "val_acc": 0.92}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7042234539985657, "final_val_loss": 0.66852205991745, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.3864488899707794, "final_val_loss": 0.2131720334291458, "initial_val_acc": 0.96, "final_val_acc": 0.92, "best_val_acc": 0.96, "best_epoch": 2}, "improvement": 0.48, "first_improvement_epoch": 1}}
|
169
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.56, "improved_accuracy": 0.96, "improvement": 0.3999999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7155, "learning_rate": 0.028166292233601273, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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],
"network.0.bias": [
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"network.2.weight": [
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[
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[
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[
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[
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"network.10.weight": [
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [1.955531, 2.489404, -0.554696, -2.430356, -0.264763, 1.593620]
std: [2.110700, 2.444448, 1.338731, 1.760924, 1.217815, 2.527344]
pca: [[0.500124, 0.086279, -0.008936, 0.137840, 0.837655, -0.147265, 0.000000, 0.000000, 0.000000, 0.000000], [0.573519, 0.048871, -0.284624, 0.389266, -0.312237, 0.581942, 0.000000, 0.000000, 0.000000, 0.000000], [-0.136072, -0.573266, 0.434359, -0.111529, 0.271378, 0.614897, 0.000000, 0.000000, 0.000000, 0.000000], [-0.224270, 0.695035, 0.546660, 0.322993, 0.058091, 0.245138, 0.000000, 0.000000, 0.000000, 0.000000], [-0.205675, -0.400027, 0.068915, 0.836635, -0.026339, -0.303767, 0.000000, 0.000000, 0.000000, 0.000000], [0.556630, -0.135789, 0.653188, -0.112915, -0.350896, -0.330441, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.853184, 34.118096, 37.637504, 39.872919, 175.997771], [37.865242, 40.262238, 42.590631, 44.794585, 224.046336], [22.555914, 23.340701, 25.841145, 31.205602, 49.922623], [27.341223, 28.649280, 33.135165, 37.119270, 218.732026], [19.524882, 19.809726, 19.829338, 23.047942, 23.828657], [39.298753, 39.876267, 48.559115, 49.483840, 143.425764]]
### 2
mean: [2.859956, 4.255333, -0.908364, -0.121831, 2.746160, 0.419564]
std: [3.106637, 3.877199, 0.780825, 0.474872, 2.728048, 0.827817]
pca: [[0.537665, -0.417023, 0.342916, 0.242363, -0.119259, -0.588604, 0.000000, 0.000000, 0.000000, 0.000000], [0.673798, 0.246201, -0.098409, -0.161137, -0.520520, 0.422837, 0.000000, 0.000000, 0.000000, 0.000000], [-0.123800, 0.411020, -0.354198, 0.724309, -0.323619, -0.246835, 0.000000, 0.000000, 0.000000, 0.000000], [-0.074926, -0.190262, 0.524297, 0.567669, 0.025824, 0.600320, 0.000000, 0.000000, 0.000000, 0.000000], [0.474232, 0.034283, -0.384953, 0.250010, 0.737672, 0.138113, 0.000000, 0.000000, 0.000000, 0.000000], [0.105245, 0.747773, 0.569379, -0.076932, 0.255501, -0.185386, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.940786, 49.312509, 54.664696, 57.213507, 257.396022], [62.337436, 62.828349, 65.056888, 68.099757, 382.979979], [13.376067, 13.394685, 13.730654, 14.319357, 81.752728], [7.644874, 8.209389, 8.307432, 8.992651, 10.964761], [42.513362, 44.591668, 45.844713, 50.222001, 247.154384], [14.443461, 15.147755, 15.640470, 15.941272, 37.760742]]
### 4
mean: [1.967613, 4.837132, -0.598230, 6.072169, 6.160689, 6.316109]
std: [2.383317, 4.944593, 0.724061, 5.951360, 5.988282, 6.126795]
pca: [[0.201559, 0.108888, 0.947080, -0.152434, -0.043467, 0.159469, 0.000000, 0.000000, 0.000000, 0.000000], [0.418719, 0.384517, -0.291683, -0.171126, -0.220570, 0.716803, 0.000000, 0.000000, 0.000000, 0.000000], [-0.061154, -0.037993, 0.083186, 0.697926, 0.562341, 0.429614, 0.000000, 0.000000, 0.000000, 0.000000], [0.503964, -0.529320, -0.091606, -0.414770, 0.533952, 0.017563, 0.000000, 0.000000, 0.000000, 0.000000], [0.507112, -0.449935, 0.015637, 0.501275, -0.529574, -0.091791, 0.000000, 0.000000, 0.000000, 0.000000], [0.518811, 0.596846, -0.049028, 0.192529, 0.260149, -0.517166, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.434472, 39.228642, 39.599336, 42.221952, 177.085160], [80.062022, 81.077635, 82.667381, 88.312069, 435.341862], [11.812311, 12.011374, 12.068408, 12.714000, 53.840667], [96.912266, 97.486121, 98.306414, 104.810841, 546.495184], [97.499274, 97.751030, 99.022566, 106.538751, 554.462002], [99.169562, 99.880962, 102.628741, 109.499340, 568.449855]]
### 6
mean: [-0.598300, 13.561058, 13.670250, -2.398330, -5.402598, 3.544981]
std: [0.317785, 13.372065, 13.599710, 2.026214, 5.003765, 3.047484]
pca: [[-0.015727, 0.234555, -0.560460, -0.164180, 0.238754, 0.739367, 0.000000, 0.000000, 0.000000, 0.000000], [0.666697, 0.659100, -0.128329, -0.029481, -0.231521, -0.223972, 0.000000, 0.000000, 0.000000, 0.000000], [0.678051, -0.402460, 0.266354, -0.098449, 0.523655, 0.153043, 0.000000, 0.000000, 0.000000, 0.000000], [-0.100988, 0.348665, 0.762824, -0.174924, -0.162151, 0.479002, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249467, 0.472019, 0.125357, 0.294651, 0.746279, -0.235582, 0.000000, 0.000000, 0.000000, 0.000000], [0.151932, -0.065021, 0.029286, 0.919275, -0.178759, 0.307913, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.012009, 5.054532, 5.418866, 5.451652, 53.847016], [217.641514, 219.078039, 220.523051, 237.698571, 1220.495205], [221.979705, 223.110955, 224.408834, 241.226051, 1230.322551], [33.029283, 33.467625, 34.231103, 35.631909, 215.849743], [81.817336, 82.014512, 83.086242, 88.730665, 486.233765], [49.730856, 50.400504, 50.502996, 53.685204, 319.048295]]
### 8
mean: [-1.658632, -1.065365, -6.677651, 12.433275, -2.312105, 11.192302]
std: [1.118921, 0.974955, 6.601453, 12.802873, 2.094572, 11.402987]
pca: [[-0.060311, 0.306953, 0.433445, 0.788636, -0.151261, -0.263517, 0.000000, 0.000000, 0.000000, 0.000000], [-0.052533, 0.631132, -0.280488, -0.291034, -0.618535, -0.230114, 0.000000, 0.000000, 0.000000, 0.000000], [-0.355869, 0.477693, 0.142526, -0.001378, 0.166151, 0.772817, 0.000000, 0.000000, 0.000000, 0.000000], [0.690176, 0.174118, -0.512304, 0.376510, 0.065879, 0.291177, 0.000000, 0.000000, 0.000000, 0.000000], [-0.112909, 0.434679, -0.209629, -0.067569, 0.744486, -0.442196, 0.000000, 0.000000, 0.000000, 0.000000], [0.614711, 0.244946, 0.637761, -0.383438, 0.091267, -0.006266, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.124198, 18.386296, 18.501897, 19.853084, 149.276874], [15.684086, 15.743046, 15.976189, 17.582595, 95.882860], [107.457066, 108.123013, 108.846253, 117.371956, 600.988626], [208.774293, 210.026383, 211.212836, 227.231260, 1118.994802], [34.004452, 34.164209, 34.470496, 37.395131, 208.089456], [186.003451, 186.790783, 187.947855, 202.629800, 1007.307238]]
### 10
mean: [-3.679960, 6.511054, -1.805084, 9.028382, -0.445042, 16.879345]
std: [3.116092, 7.008110, 1.415192, 9.405231, 0.325021, 17.239367]
pca: [[-0.147454, -0.020602, 0.010513, 0.594198, -0.045957, 0.789011, 0.000000, 0.000000, 0.000000, 0.000000], [0.331626, 0.095687, 0.461621, 0.649392, 0.271902, -0.414891, 0.000000, 0.000000, 0.000000, 0.000000], [-0.066967, 0.262553, -0.211679, -0.138529, 0.915758, 0.154825, 0.000000, 0.000000, 0.000000, 0.000000], [0.445058, 0.448728, 0.539939, -0.394875, -0.095199, 0.379530, 0.000000, 0.000000, 0.000000, 0.000000], [-0.015370, 0.810757, -0.440912, 0.217811, -0.276175, -0.155946, 0.000000, 0.000000, 0.000000, 0.000000], [0.815772, -0.250604, -0.506014, 0.051578, 0.003069, 0.113990, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.949833, 51.310261, 51.317542, 55.171480, 331.196413], [114.587132, 115.396839, 115.404204, 124.091803, 585.994837], [23.141739, 23.269088, 23.301846, 25.099690, 162.457542], [153.778816, 154.869250, 154.917113, 166.491737, 812.554435], [5.245125, 5.318598, 5.346018, 5.873984, 40.053752], [281.873932, 283.866905, 283.896632, 305.241534, 1519.141058]]
### 12
mean: [-8.299813]
std: [9.325896]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[152.539893, 152.899753, 153.724019, 165.065344, 746.983203]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.436497,
0.61415,
0.483939,
-0.24307,
-0.115053
],
[
0.488328,
0.84046,
0.408336,
-0.169364,
0.075161
],
[
-0.053393,
-0.61998,
0.160087,
-0.068268,
0.303435
],
[
-0.320919,
0.114208,
-0.42646,
-0.408195,
-0.407948
],
[
-0.39695,
-0.285242,
0.035107,
0.006254,
0.386212
],
[
0.692944,
0.399697,
0.452706,
-0.625547,
0.090612
]
],
"network.0.bias": [
-0.05453,
-0.232275,
0.079248,
0.030213,
0.18592,
0.286996
],
"network.2.weight": [
[
0.285889,
0.538865,
0.206446,
0.28196,
-0.277326,
0.595831
],
[
0.618384,
0.747204,
-0.438764,
0.216874,
-0.26603,
0.417122
],
[
-0.192794,
0.051205,
-0.253542,
0.28827,
-0.115338,
-0.227772
],
[
-0.331842,
0.090223,
0.381352,
-0.133314,
-0.037207,
0.007519
],
[
0.52121,
0.394531,
-0.167918,
-0.022083,
-0.383976,
0.341228
],
[
0.081771,
0.511129,
-0.200198,
-0.080409,
0.024501,
-0.364263
]
],
"network.2.bias": [
-0.201078,
0.492195,
-0.113161,
0.221388,
0.190581,
-0.311036
],
"network.4.weight": [
[
0.641674,
0.007173,
-0.274637,
0.097454,
0.052565,
0.476971
],
[
0.410777,
0.610897,
0.017976,
-0.139923,
0.47792,
0.054716
],
[
0.132963,
0.039636,
0.461704,
-0.368741,
-0.49523,
0.032964
],
[
0.36967,
0.900629,
-0.113069,
-0.108293,
0.42193,
0.364411
],
[
0.696994,
0.629637,
0.14591,
-0.768803,
0.386695,
0.572441
],
[
0.764995,
0.806118,
-0.073013,
-0.333204,
0.207415,
0.159058
]
],
"network.4.bias": [
-0.332207,
-0.29512,
0.24886,
-0.194429,
0.172042,
0.044331
],
"network.6.weight": [
[
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0.097921,
-0.127538,
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0.100583
],
[
0.680122,
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0.370087,
0.376193,
0.387207,
0.764995
],
[
0.398107,
0.630393,
0.413926,
0.480933,
0.713048,
0.40179
],
[
0.167069,
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0.230337,
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0.208798,
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[
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0.006837,
0.16743,
-0.176415,
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-0.305793
],
[
0.252118,
0.165075,
-0.937297,
0.462702,
-0.261189,
0.072786
]
],
"network.6.bias": [
-0.289867,
0.124217,
-0.070631,
-0.282318,
-0.254663,
0.586107
],
"network.8.weight": [
[
0.205056,
-0.192847,
0.171463,
-0.369912,
0.042879,
-0.285992
],
[
0.120891,
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0.19809,
0.156227,
-0.15039,
0.289891
],
[
0.190671,
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-0.036128,
-0.221597,
0.276067,
0.09925
],
[
0.025522,
0.397285,
0.539639,
0.2602,
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0.050088
],
[
0.168246,
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0.073193,
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-0.348788,
0.248184
],
[
0.348413,
0.30493,
0.705557,
-0.125949,
-0.358433,
-0.744395
]
],
"network.8.bias": [
-0.373877,
-0.185615,
-0.032256,
-0.510018,
-0.292256,
0.049384
],
"network.10.weight": [
[
0.07993,
0.269503,
-0.208478,
-0.162838,
0.060097,
-0.090773
],
[
-0.427614,
0.119021,
-0.141164,
0.339512,
-0.209796,
0.234132
],
[
-0.083554,
0.21121,
0.032258,
0.032958,
-0.068433,
-0.161231
],
[
-0.106028,
0.005612,
0.275839,
0.568185,
0.278485,
0.18789
],
[
0.215725,
0.068479,
-0.136024,
0.28571,
0.287276,
-0.349216
],
[
-0.216069,
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0.015707,
0.869589,
0.162727,
0.537312
]
],
"network.10.bias": [
-0.635575,
-0.339158,
-0.408965,
-0.150731,
-0.089482,
0.032741
],
"network.12.weight": [
[
-0.109989,
-0.289469,
0.201776,
-0.353281,
0.034504,
-0.231514
]
],
"network.12.bias": [
0.699477
]
}
## Activation Signature
### 0
mean: [1.955531, 2.489404, -0.554696, -2.430356, -0.264763, 1.593620]
std: [2.110700, 2.444448, 1.338731, 1.760924, 1.217815, 2.527344]
pca: [[0.500124, 0.086279, -0.008936, 0.137840, 0.837655, -0.147265, 0.000000, 0.000000, 0.000000, 0.000000], [0.573519, 0.048871, -0.284624, 0.389266, -0.312237, 0.581942, 0.000000, 0.000000, 0.000000, 0.000000], [-0.136072, -0.573266, 0.434359, -0.111529, 0.271378, 0.614897, 0.000000, 0.000000, 0.000000, 0.000000], [-0.224270, 0.695035, 0.546660, 0.322993, 0.058091, 0.245138, 0.000000, 0.000000, 0.000000, 0.000000], [-0.205675, -0.400027, 0.068915, 0.836635, -0.026339, -0.303767, 0.000000, 0.000000, 0.000000, 0.000000], [0.556630, -0.135789, 0.653188, -0.112915, -0.350896, -0.330441, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.853184, 34.118096, 37.637504, 39.872919, 175.997771], [37.865242, 40.262238, 42.590631, 44.794585, 224.046336], [22.555914, 23.340701, 25.841145, 31.205602, 49.922623], [27.341223, 28.649280, 33.135165, 37.119270, 218.732026], [19.524882, 19.809726, 19.829338, 23.047942, 23.828657], [39.298753, 39.876267, 48.559115, 49.483840, 143.425764]]
### 2
mean: [2.859956, 4.255333, -0.908364, -0.121831, 2.746160, 0.419564]
std: [3.106637, 3.877199, 0.780825, 0.474872, 2.728048, 0.827817]
pca: [[0.537665, -0.417023, 0.342916, 0.242363, -0.119259, -0.588604, 0.000000, 0.000000, 0.000000, 0.000000], [0.673798, 0.246201, -0.098409, -0.161137, -0.520520, 0.422837, 0.000000, 0.000000, 0.000000, 0.000000], [-0.123800, 0.411020, -0.354198, 0.724309, -0.323619, -0.246835, 0.000000, 0.000000, 0.000000, 0.000000], [-0.074926, -0.190262, 0.524297, 0.567669, 0.025824, 0.600320, 0.000000, 0.000000, 0.000000, 0.000000], [0.474232, 0.034283, -0.384953, 0.250010, 0.737672, 0.138113, 0.000000, 0.000000, 0.000000, 0.000000], [0.105245, 0.747773, 0.569379, -0.076932, 0.255501, -0.185386, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.940786, 49.312509, 54.664696, 57.213507, 257.396022], [62.337436, 62.828349, 65.056888, 68.099757, 382.979979], [13.376067, 13.394685, 13.730654, 14.319357, 81.752728], [7.644874, 8.209389, 8.307432, 8.992651, 10.964761], [42.513362, 44.591668, 45.844713, 50.222001, 247.154384], [14.443461, 15.147755, 15.640470, 15.941272, 37.760742]]
### 4
mean: [1.967613, 4.837132, -0.598230, 6.072169, 6.160689, 6.316109]
std: [2.383317, 4.944593, 0.724061, 5.951360, 5.988282, 6.126795]
pca: [[0.201559, 0.108888, 0.947080, -0.152434, -0.043467, 0.159469, 0.000000, 0.000000, 0.000000, 0.000000], [0.418719, 0.384517, -0.291683, -0.171126, -0.220570, 0.716803, 0.000000, 0.000000, 0.000000, 0.000000], [-0.061154, -0.037993, 0.083186, 0.697926, 0.562341, 0.429614, 0.000000, 0.000000, 0.000000, 0.000000], [0.503964, -0.529320, -0.091606, -0.414770, 0.533952, 0.017563, 0.000000, 0.000000, 0.000000, 0.000000], [0.507112, -0.449935, 0.015637, 0.501275, -0.529574, -0.091791, 0.000000, 0.000000, 0.000000, 0.000000], [0.518811, 0.596846, -0.049028, 0.192529, 0.260149, -0.517166, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.434472, 39.228642, 39.599336, 42.221952, 177.085160], [80.062022, 81.077635, 82.667381, 88.312069, 435.341862], [11.812311, 12.011374, 12.068408, 12.714000, 53.840667], [96.912266, 97.486121, 98.306414, 104.810841, 546.495184], [97.499274, 97.751030, 99.022566, 106.538751, 554.462002], [99.169562, 99.880962, 102.628741, 109.499340, 568.449855]]
### 6
mean: [-0.598300, 13.561058, 13.670250, -2.398330, -5.402598, 3.544981]
std: [0.317785, 13.372065, 13.599710, 2.026214, 5.003765, 3.047484]
pca: [[-0.015727, 0.234555, -0.560460, -0.164180, 0.238754, 0.739367, 0.000000, 0.000000, 0.000000, 0.000000], [0.666697, 0.659100, -0.128329, -0.029481, -0.231521, -0.223972, 0.000000, 0.000000, 0.000000, 0.000000], [0.678051, -0.402460, 0.266354, -0.098449, 0.523655, 0.153043, 0.000000, 0.000000, 0.000000, 0.000000], [-0.100988, 0.348665, 0.762824, -0.174924, -0.162151, 0.479002, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249467, 0.472019, 0.125357, 0.294651, 0.746279, -0.235582, 0.000000, 0.000000, 0.000000, 0.000000], [0.151932, -0.065021, 0.029286, 0.919275, -0.178759, 0.307913, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.012009, 5.054532, 5.418866, 5.451652, 53.847016], [217.641514, 219.078039, 220.523051, 237.698571, 1220.495205], [221.979705, 223.110955, 224.408834, 241.226051, 1230.322551], [33.029283, 33.467625, 34.231103, 35.631909, 215.849743], [81.817336, 82.014512, 83.086242, 88.730665, 486.233765], [49.730856, 50.400504, 50.502996, 53.685204, 319.048295]]
### 8
mean: [-1.658632, -1.065365, -6.677651, 12.433275, -2.312105, 11.192302]
std: [1.118921, 0.974955, 6.601453, 12.802873, 2.094572, 11.402987]
pca: [[-0.060311, 0.306953, 0.433445, 0.788636, -0.151261, -0.263517, 0.000000, 0.000000, 0.000000, 0.000000], [-0.052533, 0.631132, -0.280488, -0.291034, -0.618535, -0.230114, 0.000000, 0.000000, 0.000000, 0.000000], [-0.355869, 0.477693, 0.142526, -0.001378, 0.166151, 0.772817, 0.000000, 0.000000, 0.000000, 0.000000], [0.690176, 0.174118, -0.512304, 0.376510, 0.065879, 0.291177, 0.000000, 0.000000, 0.000000, 0.000000], [-0.112909, 0.434679, -0.209629, -0.067569, 0.744486, -0.442196, 0.000000, 0.000000, 0.000000, 0.000000], [0.614711, 0.244946, 0.637761, -0.383438, 0.091267, -0.006266, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.124198, 18.386296, 18.501897, 19.853084, 149.276874], [15.684086, 15.743046, 15.976189, 17.582595, 95.882860], [107.457066, 108.123013, 108.846253, 117.371956, 600.988626], [208.774293, 210.026383, 211.212836, 227.231260, 1118.994802], [34.004452, 34.164209, 34.470496, 37.395131, 208.089456], [186.003451, 186.790783, 187.947855, 202.629800, 1007.307238]]
### 10
mean: [-3.679960, 6.511054, -1.805084, 9.028382, -0.445042, 16.879345]
std: [3.116092, 7.008110, 1.415192, 9.405231, 0.325021, 17.239367]
pca: [[-0.147454, -0.020602, 0.010513, 0.594198, -0.045957, 0.789011, 0.000000, 0.000000, 0.000000, 0.000000], [0.331626, 0.095687, 0.461621, 0.649392, 0.271902, -0.414891, 0.000000, 0.000000, 0.000000, 0.000000], [-0.066967, 0.262553, -0.211679, -0.138529, 0.915758, 0.154825, 0.000000, 0.000000, 0.000000, 0.000000], [0.445058, 0.448728, 0.539939, -0.394875, -0.095199, 0.379530, 0.000000, 0.000000, 0.000000, 0.000000], [-0.015370, 0.810757, -0.440912, 0.217811, -0.276175, -0.155946, 0.000000, 0.000000, 0.000000, 0.000000], [0.815772, -0.250604, -0.506014, 0.051578, 0.003069, 0.113990, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.949833, 51.310261, 51.317542, 55.171480, 331.196413], [114.587132, 115.396839, 115.404204, 124.091803, 585.994837], [23.141739, 23.269088, 23.301846, 25.099690, 162.457542], [153.778816, 154.869250, 154.917113, 166.491737, 812.554435], [5.245125, 5.318598, 5.346018, 5.873984, 40.053752], [281.873932, 283.866905, 283.896632, 305.241534, 1519.141058]]
### 12
mean: [-8.299813]
std: [9.325896]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[152.539893, 152.899753, 153.724019, 165.065344, 746.983203]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
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"pca": [-0.015370406210422516, 0.8107568025588989, -0.44091206789016724, 0.21781118214130402, -0.27617546916007996, -0.1559458076953888, 0.0, 0.0, 0.0, 0.0], "fourier": [5.2451251749036905, 5.318598269451142, 5.34601825324515, 5.873983788922592, 40.05375216901302]}, "5": {"mean": 16.879344940185547, "std": 17.23936653137207, "pca": [0.8157720565795898, -0.25060421228408813, -0.5060138702392578, 0.05157763138413429, 0.0030692629516124725, 0.11399033665657043, 0.0, 0.0, 0.0, 0.0], "fourier": [281.8739321685668, 283.8669054368072, 283.89663168713065, 305.241534457653, 1519.14105810225]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "12": {"neuron_profiles": {"0": {"mean": -8.299813270568848, "std": 9.325896263122559, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [152.53989288334915, 152.8997528732236, 153.72401928957592, 165.06534350398832, 746.9832027554512]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.436497, 0.61415, 0.483939, -0.24307, -0.115053], [0.488328, 0.84046, 0.408336, -0.169364, 0.075161], [-0.053393, -0.61998, 0.160087, -0.068268, 0.303435], [-0.320919, 0.114208, -0.42646, -0.408195, -0.407948], [-0.39695, -0.285242, 0.035107, 0.006254, 0.386212], [0.692944, 0.399697, 0.452706, -0.625547, 0.090612]], "network.0.bias": [-0.05453, -0.232275, 0.079248, 0.030213, 0.18592, 0.286996], "network.2.weight": [[0.285889, 0.538865, 0.206446, 0.28196, -0.277326, 0.595831], [0.618384, 0.747204, -0.438764, 0.216874, -0.26603, 0.417122], [-0.192794, 0.051205, -0.253542, 0.28827, -0.115338, -0.227772], [-0.331842, 0.090223, 0.381352, -0.133314, -0.037207, 0.007519], [0.52121, 0.394531, -0.167918, -0.022083, -0.383976, 0.341228], [0.081771, 0.511129, -0.200198, -0.080409, 0.024501, -0.364263]], "network.2.bias": [-0.201078, 0.492195, -0.113161, 0.221388, 0.190581, -0.311036], "network.4.weight": [[0.641674, 0.007173, -0.274637, 0.097454, 0.052565, 0.476971], [0.410777, 0.610897, 0.017976, -0.139923, 0.47792, 0.054716], [0.132963, 0.039636, 0.461704, -0.368741, -0.49523, 0.032964], [0.36967, 0.900629, -0.113069, -0.108293, 0.42193, 0.364411], [0.696994, 0.629637, 0.14591, -0.768803, 0.386695, 0.572441], [0.764995, 0.806118, -0.073013, -0.333204, 0.207415, 0.159058]], "network.4.bias": [-0.332207, -0.29512, 0.24886, -0.194429, 0.172042, 0.044331], "network.6.weight": [[-0.07339, 0.080848, 0.097921, -0.127538, -0.066971, 0.100583], [0.680122, 0.521964, 0.370087, 0.376193, 0.387207, 0.764995], [0.398107, 0.630393, 0.413926, 0.480933, 0.713048, 0.40179], [0.167069, -0.032238, 0.230337, -0.336688, 0.208798, -0.244516], [-0.013842, 0.006837, 0.16743, -0.176415, -0.348467, -0.305793], [0.252118, 0.165075, -0.937297, 0.462702, -0.261189, 0.072786]], "network.6.bias": [-0.289867, 0.124217, -0.070631, -0.282318, -0.254663, 0.586107], "network.8.weight": [[0.205056, -0.192847, 0.171463, -0.369912, 0.042879, -0.285992], [0.120891, -0.340369, 0.19809, 0.156227, -0.15039, 0.289891], [0.190671, -0.479555, -0.036128, -0.221597, 0.276067, 0.09925], [0.025522, 0.397285, 0.539639, 0.2602, -0.082451, 0.050088], [0.168246, -0.287616, 0.073193, -0.246627, -0.348788, 0.248184], [0.348413, 0.30493, 0.705557, -0.125949, -0.358433, -0.744395]], "network.8.bias": [-0.373877, -0.185615, -0.032256, -0.510018, -0.292256, 0.049384], "network.10.weight": [[0.07993, 0.269503, -0.208478, -0.162838, 0.060097, -0.090773], [-0.427614, 0.119021, -0.141164, 0.339512, -0.209796, 0.234132], [-0.083554, 0.21121, 0.032258, 0.032958, -0.068433, -0.161231], [-0.106028, 0.005612, 0.275839, 0.568185, 0.278485, 0.18789], [0.215725, 0.068479, -0.136024, 0.28571, 0.287276, -0.349216], [-0.216069, -0.225623, 0.015707, 0.869589, 0.162727, 0.537312]], "network.10.bias": [-0.635575, -0.339158, -0.408965, -0.150731, -0.089482, 0.032741], "network.12.weight": [[-0.109989, -0.289469, 0.201776, -0.353281, 0.034504, -0.231514]], "network.12.bias": [0.699477]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7106436491012573, "train_acc": 0.46, "val_loss": 0.7020980715751648, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6978809833526611, "train_acc": 0.46, "val_loss": 0.6904107928276062, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6959777176380157, "train_acc": 0.54, "val_loss": 0.6845335364341736, "val_acc": 0.56}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6859749555587769, "train_acc": 0.54, "val_loss": 0.680458664894104, "val_acc": 0.56}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6865129172801971, "train_acc": 0.54, "val_loss": 0.6643308401107788, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6771372854709625, "train_acc": 0.485, "val_loss": 0.607166588306427, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6064814031124115, "train_acc": 0.485, "val_loss": 0.4997739791870117, "val_acc": 0.56}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5127812922000885, "train_acc": 0.555, "val_loss": 0.41084808111190796, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.4396613836288452, "train_acc": 0.835, "val_loss": 0.3633650839328766, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.4145416170358658, "train_acc": 0.895, "val_loss": 0.328899621963501, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.3805844336748123, "train_acc": 0.9, "val_loss": 0.3160664141178131, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.3804246038198471, "train_acc": 0.89, "val_loss": 0.3053480088710785, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.34307658672332764, "train_acc": 0.895, "val_loss": 0.28811267018318176, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.32506777346134186, "train_acc": 0.895, "val_loss": 0.26315146684646606, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.3182103633880615, "train_acc": 0.905, "val_loss": 0.27592357993125916, "val_acc": 0.92}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.7020980715751648, "final_val_loss": 0.6643308401107788, "initial_val_acc": 0.44, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.607166588306427, "final_val_loss": 0.27592357993125916, "initial_val_acc": 0.56, "final_val_acc": 0.92, "best_val_acc": 0.96, "best_epoch": 13}, "improvement": 0.3999999999999999, "first_improvement_epoch": 4}}
|
170
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.54, "improved_accuracy": 0.8, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4892, "learning_rate": 0.023140353950997138, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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],
[
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[
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[
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[
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[
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],
[
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"network.0.bias": [
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"network.2.weight": [
[
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[
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[
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[
0.52289,
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[
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[
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[
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],
"network.2.bias": [
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[
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[
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[
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"network.6.weight": [
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[
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"network.8.weight": [
[
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"network.10.weight": [
[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [2.048533, -0.309364, 1.040758, 1.967186, 0.803751, -1.320164, -1.951183]
std: [1.993344, 0.983477, 1.623292, 1.604635, 1.374634, 0.901467, 1.052095]
pca: [[0.709801, 0.312073, 0.189071, 0.589387, -0.084272, -0.066242, 0.064645, 0.000000, 0.000000, 0.000000], [-0.217106, -0.075689, -0.364197, 0.560611, 0.563562, 0.398789, -0.153548, 0.000000, 0.000000, 0.000000], [0.262331, 0.630427, -0.406719, -0.469953, 0.359520, 0.084218, 0.105453, 0.000000, 0.000000, 0.000000], [0.444715, -0.492201, -0.349731, -0.166817, -0.268204, 0.532542, 0.233006, 0.000000, 0.000000, 0.000000], [0.260782, -0.286606, 0.610913, -0.257275, 0.624777, 0.137516, 0.034466, 0.000000, 0.000000, 0.000000], [-0.086944, 0.338849, 0.328797, -0.091911, -0.283150, 0.651747, -0.506081, 0.000000, 0.000000, 0.000000], [-0.326944, 0.245396, 0.250117, 0.122541, -0.059891, 0.319688, 0.805932, 0.000000, 0.000000, 0.000000]]
fourier: [[29.666455, 32.470631, 33.785507, 38.132735, 184.367993], [14.472858, 17.445068, 18.439001, 20.320574, 27.842748], [25.142596, 25.142599, 25.190625, 27.957433, 93.668245], [26.513585, 27.969373, 28.892258, 29.451244, 177.046719], [19.652697, 19.852253, 20.508886, 21.947088, 72.337621], [14.929320, 15.907201, 17.199378, 18.231867, 118.814750], [17.564222, 17.863034, 18.010107, 20.240461, 175.606513]]
### 2
mean: [0.987585, 0.907065, -0.312489, 1.842109, -0.492603, 0.000928, 0.711612]
std: [0.697523, 1.008149, 0.899881, 1.295564, 0.555211, 1.248049, 0.664675]
pca: [[-0.341544, -0.027350, -0.019057, 0.063207, 0.659619, -0.079989, 0.660868, 0.000000, 0.000000, 0.000000], [-0.455074, 0.078240, 0.561687, -0.409174, 0.257999, -0.173633, -0.455146, 0.000000, 0.000000, 0.000000], [0.355311, 0.259825, 0.581592, 0.636126, 0.132691, -0.213702, -0.007993, 0.000000, 0.000000, 0.000000], [-0.389446, 0.769404, -0.396726, 0.236731, -0.050574, -0.112236, -0.166617, 0.000000, 0.000000, 0.000000], [0.198042, -0.219533, -0.369140, 0.211925, 0.637075, 0.105127, -0.560795, 0.000000, 0.000000, 0.000000], [0.508676, 0.533994, 0.060682, -0.491114, 0.264673, 0.358361, 0.112912, 0.000000, 0.000000, 0.000000], [-0.316809, -0.017149, 0.220358, 0.285970, -0.047520, 0.875051, -0.032093, 0.000000, 0.000000, 0.000000]]
fourier: [[10.477132, 11.789474, 12.146992, 12.289982, 88.882668], [16.554868, 17.256059, 17.693987, 17.991968, 81.635829], [12.238262, 14.178999, 14.332128, 20.895277, 28.123998], [19.941705, 21.341145, 21.708662, 21.862130, 165.789778], [8.058082, 8.112545, 10.242031, 10.896683, 44.334278], [17.921887, 18.298586, 18.721160, 20.129957, 22.389262], [10.779072, 11.075382, 12.069386, 12.178305, 64.045053]]
### 4
mean: [0.079905, 1.964084, 0.632928, -0.426028, -0.393174, 1.241631, 0.744885]
std: [0.675365, 1.325717, 0.728631, 0.431925, 0.467330, 1.056227, 0.668377]
pca: [[-0.193571, 0.725763, -0.032222, -0.616136, -0.043228, 0.183732, 0.139682, 0.000000, 0.000000, 0.000000], [0.645160, 0.341344, -0.332188, 0.065584, 0.317497, -0.494971, 0.082479, 0.000000, 0.000000, 0.000000], [0.329709, 0.225849, 0.841507, 0.028458, -0.198803, -0.147145, -0.264891, 0.000000, 0.000000, 0.000000], [-0.197459, 0.195221, 0.211608, 0.269126, 0.836984, 0.280736, -0.162288, 0.000000, 0.000000, 0.000000], [-0.167753, 0.417721, 0.025568, 0.687618, -0.283783, 0.043224, 0.491421, 0.000000, 0.000000, 0.000000], [0.523474, 0.086550, -0.219401, 0.131500, -0.181455, 0.750573, -0.238264, 0.000000, 0.000000, 0.000000], [0.310540, -0.292663, 0.294806, -0.229621, 0.209294, 0.235702, 0.760866, 0.000000, 0.000000, 0.000000]]
fourier: [[9.911564, 10.369885, 10.551188, 11.871556, 12.518262], [21.019722, 21.956503, 23.636951, 24.746173, 176.767528], [11.418913, 11.517243, 12.115463, 12.179597, 56.963560], [6.907682, 7.828728, 7.876974, 7.926497, 38.342535], [7.057567, 7.170276, 7.211066, 7.663192, 35.385688], [16.491354, 16.731304, 18.820776, 19.955192, 111.746775], [10.213491, 10.447108, 10.843571, 11.412119, 67.039648]]
### 6
mean: [-0.335177, -0.983846, 2.018417, 1.978182, -0.695966, -0.358506, -0.634996]
std: [0.328894, 0.680129, 1.732693, 1.632249, 0.716168, 0.185627, 0.398491]
pca: [[-0.114018, 0.397227, -0.370062, 0.144190, 0.556539, -0.566702, 0.201463, 0.000000, 0.000000, 0.000000], [-0.256469, 0.324884, -0.313884, -0.573609, -0.433701, 0.074363, 0.455518, 0.000000, 0.000000, 0.000000], [0.662380, 0.313436, 0.010320, -0.415447, -0.120285, -0.297907, -0.432541, 0.000000, 0.000000, 0.000000], [0.624753, 0.181657, 0.028356, 0.177902, 0.188796, 0.418957, 0.577115, 0.000000, 0.000000, 0.000000], [-0.261835, 0.595287, 0.754307, -0.007825, 0.074852, 0.049299, 0.001146, 0.000000, 0.000000, 0.000000], [-0.029447, 0.478231, -0.353231, 0.585002, -0.416910, 0.206331, -0.295029, 0.000000, 0.000000, 0.000000], [-0.150782, 0.149492, -0.264326, -0.321945, 0.522148, 0.603360, -0.380420, 0.000000, 0.000000, 0.000000]]
fourier: [[5.528506, 5.610470, 5.923240, 6.506353, 30.165923], [10.335147, 10.995307, 11.990222, 12.221830, 88.546122], [27.130482, 28.043635, 31.260148, 31.765343, 181.657545], [25.249754, 26.154607, 29.345816, 29.833388, 178.036361], [11.156643, 11.495860, 11.607113, 12.799353, 62.636985], [2.721205, 2.958323, 3.570257, 3.871668, 32.265565], [6.107417, 6.629780, 7.087467, 7.414284, 57.149628]]
### 8
mean: [1.240744, -0.396310, 1.356026, 1.156168, 0.743653, 0.808708, -1.369568]
std: [0.901584, 0.155382, 1.253560, 0.722875, 0.620772, 0.381053, 1.510820]
pca: [[-0.374988, -0.477205, -0.091935, 0.169888, -0.088846, 0.443086, -0.624601, 0.000000, 0.000000, 0.000000], [-0.034273, 0.537021, 0.507267, 0.581985, 0.195605, 0.121313, -0.247849, 0.000000, 0.000000, 0.000000], [-0.525679, -0.115233, -0.205596, 0.500672, 0.015040, 0.099138, 0.638268, 0.000000, 0.000000, 0.000000], [-0.303072, 0.077023, 0.422645, -0.554542, 0.273590, 0.529465, 0.246746, 0.000000, 0.000000, 0.000000], [-0.259289, -0.226592, 0.617302, -0.044282, -0.600495, -0.367789, 0.050394, 0.000000, 0.000000, 0.000000], [-0.154446, -0.399387, 0.196427, 0.014638, 0.719174, -0.503168, -0.086310, 0.000000, 0.000000, 0.000000], [0.631612, -0.503805, 0.306078, 0.268453, 0.031005, 0.332189, 0.264926, 0.000000, 0.000000, 0.000000]]
fourier: [[13.812729, 14.476145, 15.855818, 16.144356, 111.666914], [2.178866, 2.191129, 2.473828, 2.701818, 35.667927], [19.616942, 20.332171, 22.547774, 22.589552, 122.042334], [11.685984, 11.708368, 12.826041, 13.357467, 104.055078], [9.688376, 9.976983, 11.056779, 11.224079, 66.928761], [5.997341, 6.054207, 6.532952, 6.649686, 72.783694], [24.542974, 25.069740, 26.940459, 27.784628, 123.261129]]
### 10
mean: [-1.691242]
std: [1.341913]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.345208, 22.032728, 24.067320, 24.220393, 152.211721]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.046583,
0.46471,
0.506393,
0.467927,
-0.543092
],
[
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0.24784,
-0.339989,
0.100025
],
[
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0.555203,
-0.052954,
-0.222765,
-0.165998
],
[
0.018453,
0.016712,
0.406414,
0.367239,
0.481402
],
[
-0.284004,
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0.548254,
0.006611
],
[
0.056126,
0.10308,
-0.271403,
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],
[
-0.04212,
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-0.270025,
-0.2181,
-0.277236
]
],
"network.0.bias": [
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0.205036,
-0.316439,
0.024156,
-0.522355,
-0.361181
],
"network.2.weight": [
[
0.312851,
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0.158461,
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-0.379484,
-0.283308
],
[
0.257388,
0.133283,
0.40547,
0.117218,
-0.168237,
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0.265113
],
[
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0.253378,
-0.259343,
0.414782,
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],
[
0.52289,
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0.183195,
0.268906,
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],
[
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-0.2033,
-0.209402,
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-0.051565,
-0.004861
],
[
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0.478125,
0.253508,
0.278067,
0.036947
],
[
0.266191,
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0.204144,
-0.03866,
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0.233786,
-0.282282
]
],
"network.2.bias": [
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0.225288,
0.088561
],
"network.4.weight": [
[
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[
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0.089256,
0.554413,
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-0.1037
],
[
0.179648,
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0.425,
0.12645,
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],
[
0.107318,
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0.020218,
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0.134538,
-0.099004
],
[
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0.037251,
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],
[
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],
[
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]
],
"network.4.bias": [
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"network.6.weight": [
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[
0.13992,
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0.20491,
0.243867,
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],
[
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0.303661,
-0.264413,
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0.563799,
0.339531
],
[
0.000175,
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],
[
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],
[
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0.012096,
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[
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-0.219935,
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]
],
"network.6.bias": [
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-0.192235,
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-0.210575
],
"network.8.weight": [
[
-0.31196,
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0.167823,
-0.474335,
0.088322,
-0.495517
],
[
0.400235,
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0.087457,
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0.408537,
-0.178221,
0.323939
],
[
-0.099217,
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0.409387,
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0.155755,
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],
[
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],
[
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],
[
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0.03486
],
[
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0.086294,
-0.3297,
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]
],
"network.8.bias": [
0.14007,
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0.319157,
0.30573
],
"network.10.weight": [
[
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-0.400792,
-0.182241,
-0.552842,
0.161571
]
],
"network.10.bias": [
0.134703
]
}
## Activation Signature
### 0
mean: [2.048533, -0.309364, 1.040758, 1.967186, 0.803751, -1.320164, -1.951183]
std: [1.993344, 0.983477, 1.623292, 1.604635, 1.374634, 0.901467, 1.052095]
pca: [[0.709801, 0.312073, 0.189071, 0.589387, -0.084272, -0.066242, 0.064645, 0.000000, 0.000000, 0.000000], [-0.217106, -0.075689, -0.364197, 0.560611, 0.563562, 0.398789, -0.153548, 0.000000, 0.000000, 0.000000], [0.262331, 0.630427, -0.406719, -0.469953, 0.359520, 0.084218, 0.105453, 0.000000, 0.000000, 0.000000], [0.444715, -0.492201, -0.349731, -0.166817, -0.268204, 0.532542, 0.233006, 0.000000, 0.000000, 0.000000], [0.260782, -0.286606, 0.610913, -0.257275, 0.624777, 0.137516, 0.034466, 0.000000, 0.000000, 0.000000], [-0.086944, 0.338849, 0.328797, -0.091911, -0.283150, 0.651747, -0.506081, 0.000000, 0.000000, 0.000000], [-0.326944, 0.245396, 0.250117, 0.122541, -0.059891, 0.319688, 0.805932, 0.000000, 0.000000, 0.000000]]
fourier: [[29.666455, 32.470631, 33.785507, 38.132735, 184.367993], [14.472858, 17.445068, 18.439001, 20.320574, 27.842748], [25.142596, 25.142599, 25.190625, 27.957433, 93.668245], [26.513585, 27.969373, 28.892258, 29.451244, 177.046719], [19.652697, 19.852253, 20.508886, 21.947088, 72.337621], [14.929320, 15.907201, 17.199378, 18.231867, 118.814750], [17.564222, 17.863034, 18.010107, 20.240461, 175.606513]]
### 2
mean: [0.987585, 0.907065, -0.312489, 1.842109, -0.492603, 0.000928, 0.711612]
std: [0.697523, 1.008149, 0.899881, 1.295564, 0.555211, 1.248049, 0.664675]
pca: [[-0.341544, -0.027350, -0.019057, 0.063207, 0.659619, -0.079989, 0.660868, 0.000000, 0.000000, 0.000000], [-0.455074, 0.078240, 0.561687, -0.409174, 0.257999, -0.173633, -0.455146, 0.000000, 0.000000, 0.000000], [0.355311, 0.259825, 0.581592, 0.636126, 0.132691, -0.213702, -0.007993, 0.000000, 0.000000, 0.000000], [-0.389446, 0.769404, -0.396726, 0.236731, -0.050574, -0.112236, -0.166617, 0.000000, 0.000000, 0.000000], [0.198042, -0.219533, -0.369140, 0.211925, 0.637075, 0.105127, -0.560795, 0.000000, 0.000000, 0.000000], [0.508676, 0.533994, 0.060682, -0.491114, 0.264673, 0.358361, 0.112912, 0.000000, 0.000000, 0.000000], [-0.316809, -0.017149, 0.220358, 0.285970, -0.047520, 0.875051, -0.032093, 0.000000, 0.000000, 0.000000]]
fourier: [[10.477132, 11.789474, 12.146992, 12.289982, 88.882668], [16.554868, 17.256059, 17.693987, 17.991968, 81.635829], [12.238262, 14.178999, 14.332128, 20.895277, 28.123998], [19.941705, 21.341145, 21.708662, 21.862130, 165.789778], [8.058082, 8.112545, 10.242031, 10.896683, 44.334278], [17.921887, 18.298586, 18.721160, 20.129957, 22.389262], [10.779072, 11.075382, 12.069386, 12.178305, 64.045053]]
### 4
mean: [0.079905, 1.964084, 0.632928, -0.426028, -0.393174, 1.241631, 0.744885]
std: [0.675365, 1.325717, 0.728631, 0.431925, 0.467330, 1.056227, 0.668377]
pca: [[-0.193571, 0.725763, -0.032222, -0.616136, -0.043228, 0.183732, 0.139682, 0.000000, 0.000000, 0.000000], [0.645160, 0.341344, -0.332188, 0.065584, 0.317497, -0.494971, 0.082479, 0.000000, 0.000000, 0.000000], [0.329709, 0.225849, 0.841507, 0.028458, -0.198803, -0.147145, -0.264891, 0.000000, 0.000000, 0.000000], [-0.197459, 0.195221, 0.211608, 0.269126, 0.836984, 0.280736, -0.162288, 0.000000, 0.000000, 0.000000], [-0.167753, 0.417721, 0.025568, 0.687618, -0.283783, 0.043224, 0.491421, 0.000000, 0.000000, 0.000000], [0.523474, 0.086550, -0.219401, 0.131500, -0.181455, 0.750573, -0.238264, 0.000000, 0.000000, 0.000000], [0.310540, -0.292663, 0.294806, -0.229621, 0.209294, 0.235702, 0.760866, 0.000000, 0.000000, 0.000000]]
fourier: [[9.911564, 10.369885, 10.551188, 11.871556, 12.518262], [21.019722, 21.956503, 23.636951, 24.746173, 176.767528], [11.418913, 11.517243, 12.115463, 12.179597, 56.963560], [6.907682, 7.828728, 7.876974, 7.926497, 38.342535], [7.057567, 7.170276, 7.211066, 7.663192, 35.385688], [16.491354, 16.731304, 18.820776, 19.955192, 111.746775], [10.213491, 10.447108, 10.843571, 11.412119, 67.039648]]
### 6
mean: [-0.335177, -0.983846, 2.018417, 1.978182, -0.695966, -0.358506, -0.634996]
std: [0.328894, 0.680129, 1.732693, 1.632249, 0.716168, 0.185627, 0.398491]
pca: [[-0.114018, 0.397227, -0.370062, 0.144190, 0.556539, -0.566702, 0.201463, 0.000000, 0.000000, 0.000000], [-0.256469, 0.324884, -0.313884, -0.573609, -0.433701, 0.074363, 0.455518, 0.000000, 0.000000, 0.000000], [0.662380, 0.313436, 0.010320, -0.415447, -0.120285, -0.297907, -0.432541, 0.000000, 0.000000, 0.000000], [0.624753, 0.181657, 0.028356, 0.177902, 0.188796, 0.418957, 0.577115, 0.000000, 0.000000, 0.000000], [-0.261835, 0.595287, 0.754307, -0.007825, 0.074852, 0.049299, 0.001146, 0.000000, 0.000000, 0.000000], [-0.029447, 0.478231, -0.353231, 0.585002, -0.416910, 0.206331, -0.295029, 0.000000, 0.000000, 0.000000], [-0.150782, 0.149492, -0.264326, -0.321945, 0.522148, 0.603360, -0.380420, 0.000000, 0.000000, 0.000000]]
fourier: [[5.528506, 5.610470, 5.923240, 6.506353, 30.165923], [10.335147, 10.995307, 11.990222, 12.221830, 88.546122], [27.130482, 28.043635, 31.260148, 31.765343, 181.657545], [25.249754, 26.154607, 29.345816, 29.833388, 178.036361], [11.156643, 11.495860, 11.607113, 12.799353, 62.636985], [2.721205, 2.958323, 3.570257, 3.871668, 32.265565], [6.107417, 6.629780, 7.087467, 7.414284, 57.149628]]
### 8
mean: [1.240744, -0.396310, 1.356026, 1.156168, 0.743653, 0.808708, -1.369568]
std: [0.901584, 0.155382, 1.253560, 0.722875, 0.620772, 0.381053, 1.510820]
pca: [[-0.374988, -0.477205, -0.091935, 0.169888, -0.088846, 0.443086, -0.624601, 0.000000, 0.000000, 0.000000], [-0.034273, 0.537021, 0.507267, 0.581985, 0.195605, 0.121313, -0.247849, 0.000000, 0.000000, 0.000000], [-0.525679, -0.115233, -0.205596, 0.500672, 0.015040, 0.099138, 0.638268, 0.000000, 0.000000, 0.000000], [-0.303072, 0.077023, 0.422645, -0.554542, 0.273590, 0.529465, 0.246746, 0.000000, 0.000000, 0.000000], [-0.259289, -0.226592, 0.617302, -0.044282, -0.600495, -0.367789, 0.050394, 0.000000, 0.000000, 0.000000], [-0.154446, -0.399387, 0.196427, 0.014638, 0.719174, -0.503168, -0.086310, 0.000000, 0.000000, 0.000000], [0.631612, -0.503805, 0.306078, 0.268453, 0.031005, 0.332189, 0.264926, 0.000000, 0.000000, 0.000000]]
fourier: [[13.812729, 14.476145, 15.855818, 16.144356, 111.666914], [2.178866, 2.191129, 2.473828, 2.701818, 35.667927], [19.616942, 20.332171, 22.547774, 22.589552, 122.042334], [11.685984, 11.708368, 12.826041, 13.357467, 104.055078], [9.688376, 9.976983, 11.056779, 11.224079, 66.928761], [5.997341, 6.054207, 6.532952, 6.649686, 72.783694], [24.542974, 25.069740, 26.940459, 27.784628, 123.261129]]
### 10
mean: [-1.691242]
std: [1.341913]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.345208, 22.032728, 24.067320, 24.220393, 152.211721]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
|
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24.067319529082212, 24.220392618221247, 152.21172104775906]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.046583, 0.46471, 0.506393, 0.467927, -0.543092], [-0.081652, -0.189517, 0.24784, -0.339989, 0.100025], [0.495861, 0.555203, -0.052954, -0.222765, -0.165998], [0.018453, 0.016712, 0.406414, 0.367239, 0.481402], [-0.284004, 0.08927, -0.102208, 0.548254, 0.006611], [0.056126, 0.10308, -0.271403, -0.024395, -0.353713], [-0.04212, -0.089949, -0.270025, -0.2181, -0.277236]], "network.0.bias": [-0.247669, 0.225603, 0.205036, -0.316439, 0.024156, -0.522355, -0.361181], "network.2.weight": [[0.312851, -0.002686, 0.158461, -0.07633, -0.14743, -0.379484, -0.283308], [0.257388, 0.133283, 0.40547, 0.117218, -0.168237, -0.142918, 0.265113], [-0.26643, 0.253378, -0.259343, 0.414782, -0.046713, -0.06072, -0.16208], [0.52289, -0.168352, -0.074758, 0.183195, 0.268906, -0.246732, -0.036539], [-0.090248, -0.2033, -0.209402, -0.164097, -0.062045, -0.051565, -0.004861], [-0.406723, -0.517734, -0.391786, 0.478125, 0.253508, 0.278067, 0.036947], [0.266191, 0.278838, 0.204144, -0.03866, -0.127312, 0.233786, -0.282282]], "network.2.bias": [0.383172, -0.163928, -0.285342, 0.217507, 0.32363, 0.225288, 0.088561], "network.4.weight": [[-0.247314, 0.091992, 0.152477, 0.223302, -0.25554, 0.454288, -0.521363], [0.382945, 0.459338, 0.089256, 0.554413, -0.115486, -0.423239, -0.1037], [0.179648, -0.051006, -0.402685, 0.425, 0.12645, -0.21473, -0.013095], [0.107318, -0.330493, 0.339861, 0.020218, 0.337934, 0.134538, -0.099004], [-0.392928, 0.089836, 0.347181, 0.173982, -0.086828, 0.037251, -0.391081], [0.000211, 0.334761, -0.195382, 0.357696, -0.289531, -0.368183, 0.350857], [0.357502, -0.107374, -0.385757, 0.049542, 0.116317, -0.225523, 0.426098]], "network.4.bias": [-0.048901, 0.454827, -0.098982, -0.275357, -0.244302, 0.237392, 0.297484], "network.6.weight": [[0.426798, -0.008944, -0.00938, -0.215296, -0.138544, -0.199836, 0.010696], [0.13992, -0.205201, -0.030724, 0.20491, 0.243867, -0.035047, -0.495542], [0.073068, 0.535214, 0.303661, -0.264413, -0.557992, 0.563799, 0.339531], [0.000175, 0.432247, 0.33388, -0.514978, -0.1554, 0.463956, 0.578505], [0.456028, 0.071306, -0.548249, -0.046733, 0.120049, -0.126308, -0.395824], [0.312026, -0.07325, 0.105988, 0.229253, 0.058149, 0.012096, 0.08767], [0.069664, -0.03875, 0.005115, -0.273025, 0.378168, -0.219935, -0.156117]], "network.6.bias": [-0.187199, -0.192235, -0.13824, -0.027498, -0.167001, -0.386957, -0.210575], "network.8.weight": [[-0.31196, -0.540426, 0.311026, 0.167823, -0.474335, 0.088322, -0.495517], [0.400235, -0.064118, 0.087457, -0.000353, 0.408537, -0.178221, 0.323939], [-0.099217, -0.483498, 0.306972, 0.409387, -0.382518, 0.155755, -0.300054], [-0.1932, -0.186013, 0.329219, 0.077318, 0.130347, -0.390002, -0.244063], [0.065052, -0.012355, 0.442954, -0.120374, -0.456317, -0.260075, -0.068885], [0.10395, -0.560575, 0.09895, 0.100885, -0.315258, -0.329483, 0.03486], [0.340325, -0.11778, -0.31062, -0.574435, 0.086294, -0.3297, -0.252495]], "network.8.bias": [0.14007, -0.497507, -0.141168, 0.250218, 0.040217, 0.319157, 0.30573], "network.10.weight": [[-0.484924, 0.252994, -0.240063, -0.400792, -0.182241, -0.552842, 0.161571]], "network.10.bias": [0.134703]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.706873744726181, "train_acc": 0.435, "val_loss": 0.6927029490470886, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6922911107540131, "train_acc": 0.455, "val_loss": 0.6867825388908386, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.672074556350708, "train_acc": 0.565, "val_loss": 0.6647602915763855, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6006110906600952, "train_acc": 0.565, "val_loss": 0.6062047481536865, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5065672099590302, "train_acc": 0.69, "val_loss": 0.48677849769592285, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.38561148941516876, "train_acc": 0.87, "val_loss": 0.46525338292121887, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.33322833478450775, "train_acc": 0.885, "val_loss": 0.4316791594028473, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.29376867413520813, "train_acc": 0.88, "val_loss": 0.4897676110267639, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.2814840227365494, "train_acc": 0.885, "val_loss": 0.5713577270507812, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3076881170272827, "train_acc": 0.88, "val_loss": 0.5365236401557922, "val_acc": 0.76}], "summary": {"total_epochs": 10, "degraded_epochs": 4, "improved_epochs": 6, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6927029490470886, "final_val_loss": 0.6062047481536865, "initial_val_acc": 0.5, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.48677849769592285, "final_val_loss": 0.5365236401557922, "initial_val_acc": 0.8, "final_val_acc": 0.76, "best_val_acc": 0.8, "best_epoch": 4}, "improvement": 0.26, "first_improvement_epoch": 3}}
|
171
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.62, "improved_accuracy": 0.9, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5933, "learning_rate": 0.018050919124068178, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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],
"network.0.bias": [
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"network.2.weight": [
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],
[
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],
[
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],
[
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[
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[
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],
"network.2.bias": [
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"network.4.weight": [
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0.045614
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[
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[
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[
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[
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],
"network.4.bias": [
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"network.8.weight": [
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[
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[
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[
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[
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"network.8.bias": [
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"network.10.weight": [
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[
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[
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[
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"network.10.bias": [
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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [3.783727, -0.733561, 0.716464, 0.805413, -0.249241, 1.280220]
std: [2.279728, 1.398425, 1.338939, 1.143065, 0.393293, 1.452598]
pca: [[0.738013, 0.526020, -0.061727, 0.341779, -0.140196, -0.195863, 0.000000, 0.000000, 0.000000, 0.000000], [-0.400442, 0.080719, 0.512616, 0.742210, -0.031445, -0.135980, 0.000000, 0.000000, 0.000000, 0.000000], [0.396450, -0.415086, 0.117308, 0.316357, 0.286942, 0.688732, 0.000000, 0.000000, 0.000000, 0.000000], [-0.001964, 0.517233, 0.639759, -0.429133, 0.101106, 0.358883, 0.000000, 0.000000, 0.000000, 0.000000], [-0.051030, 0.188280, -0.136246, 0.041153, 0.939194, -0.244140, 0.000000, 0.000000, 0.000000, 0.000000], [0.367699, -0.491438, 0.540185, -0.215360, 0.068649, -0.529522, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.599935, 41.424913, 42.564132, 47.000014, 340.535449], [19.140166, 20.688081, 21.954330, 31.928070, 66.020531], [22.227364, 22.353123, 25.894390, 26.924236, 64.481781], [16.591244, 16.715681, 19.040422, 19.417259, 72.487134], [5.910775, 6.425061, 6.447422, 7.093715, 22.431682], [22.120228, 22.966185, 23.650090, 24.221245, 115.219775]]
### 2
mean: [-0.520442, -0.584066, 1.674430, 2.220650, 1.032699, -1.266370]
std: [0.405813, 0.843397, 0.726681, 1.856611, 1.873423, 0.737371]
pca: [[-0.011510, -0.283569, 0.597983, 0.316030, 0.564000, -0.379343, 0.000000, 0.000000, 0.000000, 0.000000], [-0.294110, 0.145972, 0.390084, -0.303269, 0.320441, 0.738493, 0.000000, 0.000000, 0.000000, 0.000000], [-0.055248, 0.652015, -0.381880, 0.418645, 0.500697, 0.005496, 0.000000, 0.000000, 0.000000, 0.000000], [0.667277, 0.201780, 0.359590, 0.436179, -0.283283, 0.337964, 0.000000, 0.000000, 0.000000, 0.000000], [0.675863, -0.172583, -0.258137, -0.458106, 0.485019, 0.041052, 0.000000, 0.000000, 0.000000, 0.000000], [-0.090914, -0.634553, -0.385329, 0.482468, 0.114156, 0.441353, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.759851, 7.271260, 7.563849, 8.917133, 46.839752], [13.298559, 13.469393, 15.308624, 17.178635, 52.565976], [11.313612, 12.514803, 12.775252, 13.934396, 150.698757], [32.143813, 33.183859, 33.463900, 34.614868, 199.858537], [30.203685, 32.203329, 34.301028, 36.212270, 92.942957], [11.633622, 12.409088, 13.198712, 13.939494, 113.973306]]
### 4
mean: [0.398903, 0.077546, 0.809778, 1.354810, 1.302729, -1.694595]
std: [1.047460, 0.877420, 0.208986, 0.384475, 0.405192, 1.498381]
pca: [[-0.516033, -0.144291, -0.368661, 0.472189, -0.474803, 0.358579, 0.000000, 0.000000, 0.000000, 0.000000], [-0.418408, -0.369732, 0.511851, 0.419962, 0.269255, -0.421161, 0.000000, 0.000000, 0.000000, 0.000000], [0.086154, 0.178568, 0.258326, 0.321591, 0.517412, 0.723065, 0.000000, 0.000000, 0.000000, 0.000000], [0.120284, 0.478532, -0.477674, 0.519299, 0.302228, -0.409087, 0.000000, 0.000000, 0.000000, 0.000000], [-0.020949, 0.653064, 0.545812, 0.147276, -0.499655, -0.061742, 0.000000, 0.000000, 0.000000, 0.000000], [0.732336, -0.393836, 0.096343, 0.453748, -0.305534, -0.007592, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.650442, 18.679611, 18.906811, 19.921746, 35.901273], [14.241329, 14.444910, 14.997570, 15.780798, 15.943224], [3.058146, 3.582700, 3.706829, 4.307184, 72.879991], [6.208288, 6.288867, 7.132652, 7.678955, 121.932898], [6.209930, 6.430201, 7.468695, 8.557492, 117.245591], [24.971268, 26.910454, 27.901560, 27.980384, 152.513519]]
### 6
mean: [-0.723498, -0.719605, -0.595978, -0.521649, -0.702848, -0.367639]
std: [0.834160, 1.048208, 0.632744, 0.215122, 1.071978, 0.250877]
pca: [[0.449286, -0.334677, 0.412228, 0.002875, 0.602366, -0.391598, 0.000000, 0.000000, 0.000000, 0.000000], [0.564896, 0.232533, -0.093529, 0.756256, -0.112948, 0.182737, 0.000000, 0.000000, 0.000000, 0.000000], [0.339656, 0.494613, 0.602937, -0.410792, -0.292761, 0.148326, 0.000000, 0.000000, 0.000000, 0.000000], [0.113294, 0.403471, -0.354233, -0.258067, 0.665874, 0.434635, 0.000000, 0.000000, 0.000000, 0.000000], [0.577355, -0.446424, -0.425333, -0.422793, -0.301885, 0.128730, 0.000000, 0.000000, 0.000000, 0.000000], [-0.132266, -0.476650, 0.389101, 0.118182, 0.064542, 0.765362, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.312032, 14.165847, 15.066681, 16.735345, 65.114771], [17.327536, 17.784583, 18.896063, 20.673954, 64.764421], [10.680162, 11.338829, 11.554795, 12.410358, 53.637999], [3.602208, 3.840016, 3.896631, 3.944534, 46.948435], [16.959564, 18.015967, 19.052254, 21.185678, 63.256365], [4.319288, 4.415146, 4.422320, 4.604371, 33.087504]]
### 8
mean: [0.162861, 0.230305, 0.200921, -0.191357, 0.594507, 0.465926]
std: [0.613885, 0.975846, 0.467154, 0.401551, 0.612871, 0.916286]
pca: [[-0.358981, 0.511790, -0.264855, -0.200349, 0.593514, -0.382958, 0.000000, 0.000000, 0.000000, 0.000000], [0.570768, -0.324744, -0.204744, -0.484091, 0.501355, 0.202842, 0.000000, 0.000000, 0.000000, 0.000000], [0.273088, 0.526481, -0.495848, -0.318239, -0.532781, 0.131314, 0.000000, 0.000000, 0.000000, 0.000000], [0.234632, 0.533890, 0.744834, -0.169951, 0.117720, 0.249782, 0.000000, 0.000000, 0.000000, 0.000000], [-0.358473, 0.092638, -0.229381, 0.193055, 0.216023, 0.852269, 0.000000, 0.000000, 0.000000, 0.000000], [0.535933, 0.248615, -0.186209, 0.747052, 0.228045, -0.078745, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.639355, 10.327424, 10.671721, 11.147696, 14.657480], [15.332586, 16.521985, 17.210258, 17.690743, 20.727411], [7.415394, 7.994426, 8.413007, 8.460469, 18.082851], [6.389233, 6.935165, 6.976470, 7.420988, 17.222112], [9.656407, 10.417527, 10.722987, 11.157113, 53.505647], [14.512206, 15.516524, 16.167310, 16.684156, 41.933339]]
### 10
mean: [0.016688, 0.124904, 0.027569, 0.717805, -0.083293, 0.334514]
std: [0.715155, 0.491524, 0.996809, 0.738016, 0.387762, 0.764222]
pca: [[0.411219, 0.082705, 0.745339, 0.159976, 0.305929, -0.386450, 0.000000, 0.000000, 0.000000, 0.000000], [-0.282635, -0.054741, -0.092650, 0.802002, -0.314383, -0.408037, 0.000000, 0.000000, 0.000000, 0.000000], [0.573090, 0.497196, -0.518399, 0.297542, 0.255611, 0.041924, 0.000000, 0.000000, 0.000000, 0.000000], [-0.423980, 0.854246, 0.248560, -0.075443, -0.131536, 0.075697, 0.000000, 0.000000, 0.000000, 0.000000], [-0.222957, -0.114890, 0.196389, 0.465754, 0.467930, 0.680174, 0.000000, 0.000000, 0.000000, 0.000000], [-0.439449, -0.004887, -0.258453, -0.141603, 0.711318, -0.462643, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.600585, 11.383711, 12.301621, 12.369543, 13.095987], [7.826257, 8.491548, 8.512031, 9.018635, 11.241362], [14.702317, 15.854121, 17.060860, 17.475235, 18.196719], [12.028887, 12.316873, 13.161216, 13.708177, 64.602488], [6.181340, 6.672744, 6.741292, 7.111288, 7.496399], [12.220206, 13.172149, 13.218214, 14.028015, 30.106253]]
### 12
mean: [-0.622871]
std: [1.125674]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.412488, 18.732199, 20.153349, 20.958301, 56.058363]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.329803,
0.022152,
0.669943,
0.220904,
0.598679
],
[
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[
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-0.110689,
0.013556
],
[
-0.208263,
0.211874,
-0.119687,
0.360471,
0.262142
],
[
-0.113711,
-0.129282,
0.030722,
0.050257,
0.088319
],
[
0.551105,
0.392994,
-0.137549,
-0.115267,
0.047831
]
],
"network.0.bias": [
0.721417,
0.085832,
-0.163667,
-0.167802,
-0.153028,
0.353794
],
"network.2.weight": [
[
-0.203514,
0.091677,
0.016779,
0.113001,
0.1896,
0.226638
],
[
-0.08345,
0.196007,
-0.2186,
0.359187,
0.177349,
-0.189991
],
[
0.375776,
0.33228,
-0.320625,
-0.012691,
-0.472534,
-0.192462
],
[
0.267884,
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0.360624,
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0.126757,
0.680104
],
[
0.145751,
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0.566574,
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0.503967
],
[
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0.29482,
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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0.036632,
0.045614
],
[
0.257712,
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],
[
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0.463336,
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0.044536,
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],
[
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0.395227,
0.437991,
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],
[
0.258982,
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-0.017119,
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]
],
"network.4.bias": [
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0.579616,
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0.166302,
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],
"network.6.weight": [
[
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],
[
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],
[
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[
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0.116935,
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[
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0.596612
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[
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0.307488,
0.342384,
-0.191577,
0.11788
]
],
"network.6.bias": [
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0.15086,
0.08308,
-0.292191,
0.426428,
-0.710003
],
"network.8.weight": [
[
-0.217018,
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-0.716541,
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],
[
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0.309539,
0.711929,
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0.48564,
0.107637
],
[
0.563096,
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0.09221,
0.456102,
-0.483601
],
[
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0.423236,
0.474163,
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[
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],
[
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-0.442091
]
],
"network.8.bias": [
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0.113344,
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0.567477,
0.262549
],
"network.10.weight": [
[
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0.03243
],
[
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-0.346738,
0.531115,
0.041738
],
[
-0.342237,
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0.611984,
0.389919,
-0.449886,
0.530086
],
[
0.506401,
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0.60078,
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],
[
0.017156,
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0.313429,
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],
[
0.507037,
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0.349259,
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]
],
"network.10.bias": [
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0.03593,
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0.225029
],
"network.12.weight": [
[
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-0.533788,
-0.211741,
-0.544615
]
],
"network.12.bias": [
-0.156794
]
}
## Activation Signature
### 0
mean: [3.783727, -0.733561, 0.716464, 0.805413, -0.249241, 1.280220]
std: [2.279728, 1.398425, 1.338939, 1.143065, 0.393293, 1.452598]
pca: [[0.738013, 0.526020, -0.061727, 0.341779, -0.140196, -0.195863, 0.000000, 0.000000, 0.000000, 0.000000], [-0.400442, 0.080719, 0.512616, 0.742210, -0.031445, -0.135980, 0.000000, 0.000000, 0.000000, 0.000000], [0.396450, -0.415086, 0.117308, 0.316357, 0.286942, 0.688732, 0.000000, 0.000000, 0.000000, 0.000000], [-0.001964, 0.517233, 0.639759, -0.429133, 0.101106, 0.358883, 0.000000, 0.000000, 0.000000, 0.000000], [-0.051030, 0.188280, -0.136246, 0.041153, 0.939194, -0.244140, 0.000000, 0.000000, 0.000000, 0.000000], [0.367699, -0.491438, 0.540185, -0.215360, 0.068649, -0.529522, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.599935, 41.424913, 42.564132, 47.000014, 340.535449], [19.140166, 20.688081, 21.954330, 31.928070, 66.020531], [22.227364, 22.353123, 25.894390, 26.924236, 64.481781], [16.591244, 16.715681, 19.040422, 19.417259, 72.487134], [5.910775, 6.425061, 6.447422, 7.093715, 22.431682], [22.120228, 22.966185, 23.650090, 24.221245, 115.219775]]
### 2
mean: [-0.520442, -0.584066, 1.674430, 2.220650, 1.032699, -1.266370]
std: [0.405813, 0.843397, 0.726681, 1.856611, 1.873423, 0.737371]
pca: [[-0.011510, -0.283569, 0.597983, 0.316030, 0.564000, -0.379343, 0.000000, 0.000000, 0.000000, 0.000000], [-0.294110, 0.145972, 0.390084, -0.303269, 0.320441, 0.738493, 0.000000, 0.000000, 0.000000, 0.000000], [-0.055248, 0.652015, -0.381880, 0.418645, 0.500697, 0.005496, 0.000000, 0.000000, 0.000000, 0.000000], [0.667277, 0.201780, 0.359590, 0.436179, -0.283283, 0.337964, 0.000000, 0.000000, 0.000000, 0.000000], [0.675863, -0.172583, -0.258137, -0.458106, 0.485019, 0.041052, 0.000000, 0.000000, 0.000000, 0.000000], [-0.090914, -0.634553, -0.385329, 0.482468, 0.114156, 0.441353, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.759851, 7.271260, 7.563849, 8.917133, 46.839752], [13.298559, 13.469393, 15.308624, 17.178635, 52.565976], [11.313612, 12.514803, 12.775252, 13.934396, 150.698757], [32.143813, 33.183859, 33.463900, 34.614868, 199.858537], [30.203685, 32.203329, 34.301028, 36.212270, 92.942957], [11.633622, 12.409088, 13.198712, 13.939494, 113.973306]]
### 4
mean: [0.398903, 0.077546, 0.809778, 1.354810, 1.302729, -1.694595]
std: [1.047460, 0.877420, 0.208986, 0.384475, 0.405192, 1.498381]
pca: [[-0.516033, -0.144291, -0.368661, 0.472189, -0.474803, 0.358579, 0.000000, 0.000000, 0.000000, 0.000000], [-0.418408, -0.369732, 0.511851, 0.419962, 0.269255, -0.421161, 0.000000, 0.000000, 0.000000, 0.000000], [0.086154, 0.178568, 0.258326, 0.321591, 0.517412, 0.723065, 0.000000, 0.000000, 0.000000, 0.000000], [0.120284, 0.478532, -0.477674, 0.519299, 0.302228, -0.409087, 0.000000, 0.000000, 0.000000, 0.000000], [-0.020949, 0.653064, 0.545812, 0.147276, -0.499655, -0.061742, 0.000000, 0.000000, 0.000000, 0.000000], [0.732336, -0.393836, 0.096343, 0.453748, -0.305534, -0.007592, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.650442, 18.679611, 18.906811, 19.921746, 35.901273], [14.241329, 14.444910, 14.997570, 15.780798, 15.943224], [3.058146, 3.582700, 3.706829, 4.307184, 72.879991], [6.208288, 6.288867, 7.132652, 7.678955, 121.932898], [6.209930, 6.430201, 7.468695, 8.557492, 117.245591], [24.971268, 26.910454, 27.901560, 27.980384, 152.513519]]
### 6
mean: [-0.723498, -0.719605, -0.595978, -0.521649, -0.702848, -0.367639]
std: [0.834160, 1.048208, 0.632744, 0.215122, 1.071978, 0.250877]
pca: [[0.449286, -0.334677, 0.412228, 0.002875, 0.602366, -0.391598, 0.000000, 0.000000, 0.000000, 0.000000], [0.564896, 0.232533, -0.093529, 0.756256, -0.112948, 0.182737, 0.000000, 0.000000, 0.000000, 0.000000], [0.339656, 0.494613, 0.602937, -0.410792, -0.292761, 0.148326, 0.000000, 0.000000, 0.000000, 0.000000], [0.113294, 0.403471, -0.354233, -0.258067, 0.665874, 0.434635, 0.000000, 0.000000, 0.000000, 0.000000], [0.577355, -0.446424, -0.425333, -0.422793, -0.301885, 0.128730, 0.000000, 0.000000, 0.000000, 0.000000], [-0.132266, -0.476650, 0.389101, 0.118182, 0.064542, 0.765362, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.312032, 14.165847, 15.066681, 16.735345, 65.114771], [17.327536, 17.784583, 18.896063, 20.673954, 64.764421], [10.680162, 11.338829, 11.554795, 12.410358, 53.637999], [3.602208, 3.840016, 3.896631, 3.944534, 46.948435], [16.959564, 18.015967, 19.052254, 21.185678, 63.256365], [4.319288, 4.415146, 4.422320, 4.604371, 33.087504]]
### 8
mean: [0.162861, 0.230305, 0.200921, -0.191357, 0.594507, 0.465926]
std: [0.613885, 0.975846, 0.467154, 0.401551, 0.612871, 0.916286]
pca: [[-0.358981, 0.511790, -0.264855, -0.200349, 0.593514, -0.382958, 0.000000, 0.000000, 0.000000, 0.000000], [0.570768, -0.324744, -0.204744, -0.484091, 0.501355, 0.202842, 0.000000, 0.000000, 0.000000, 0.000000], [0.273088, 0.526481, -0.495848, -0.318239, -0.532781, 0.131314, 0.000000, 0.000000, 0.000000, 0.000000], [0.234632, 0.533890, 0.744834, -0.169951, 0.117720, 0.249782, 0.000000, 0.000000, 0.000000, 0.000000], [-0.358473, 0.092638, -0.229381, 0.193055, 0.216023, 0.852269, 0.000000, 0.000000, 0.000000, 0.000000], [0.535933, 0.248615, -0.186209, 0.747052, 0.228045, -0.078745, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.639355, 10.327424, 10.671721, 11.147696, 14.657480], [15.332586, 16.521985, 17.210258, 17.690743, 20.727411], [7.415394, 7.994426, 8.413007, 8.460469, 18.082851], [6.389233, 6.935165, 6.976470, 7.420988, 17.222112], [9.656407, 10.417527, 10.722987, 11.157113, 53.505647], [14.512206, 15.516524, 16.167310, 16.684156, 41.933339]]
### 10
mean: [0.016688, 0.124904, 0.027569, 0.717805, -0.083293, 0.334514]
std: [0.715155, 0.491524, 0.996809, 0.738016, 0.387762, 0.764222]
pca: [[0.411219, 0.082705, 0.745339, 0.159976, 0.305929, -0.386450, 0.000000, 0.000000, 0.000000, 0.000000], [-0.282635, -0.054741, -0.092650, 0.802002, -0.314383, -0.408037, 0.000000, 0.000000, 0.000000, 0.000000], [0.573090, 0.497196, -0.518399, 0.297542, 0.255611, 0.041924, 0.000000, 0.000000, 0.000000, 0.000000], [-0.423980, 0.854246, 0.248560, -0.075443, -0.131536, 0.075697, 0.000000, 0.000000, 0.000000, 0.000000], [-0.222957, -0.114890, 0.196389, 0.465754, 0.467930, 0.680174, 0.000000, 0.000000, 0.000000, 0.000000], [-0.439449, -0.004887, -0.258453, -0.141603, 0.711318, -0.462643, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.600585, 11.383711, 12.301621, 12.369543, 13.095987], [7.826257, 8.491548, 8.512031, 9.018635, 11.241362], [14.702317, 15.854121, 17.060860, 17.475235, 18.196719], [12.028887, 12.316873, 13.161216, 13.708177, 64.602488], [6.181340, 6.672744, 6.741292, 7.111288, 7.496399], [12.220206, 13.172149, 13.218214, 14.028015, 30.106253]]
### 12
mean: [-0.622871]
std: [1.125674]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.412488, 18.732199, 20.153349, 20.958301, 56.058363]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
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"num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.329803, 0.022152, 0.669943, 0.220904, 0.598679], [-0.05263, -0.317545, -0.262841, 0.431177, -0.446636], [0.575321, 0.089523, 0.106129, -0.110689, 0.013556], [-0.208263, 0.211874, -0.119687, 0.360471, 0.262142], [-0.113711, -0.129282, 0.030722, 0.050257, 0.088319], [0.551105, 0.392994, -0.137549, -0.115267, 0.047831]], "network.0.bias": [0.721417, 0.085832, -0.163667, -0.167802, -0.153028, 0.353794], "network.2.weight": [[-0.203514, 0.091677, 0.016779, 0.113001, 0.1896, 0.226638], [-0.08345, 0.196007, -0.2186, 0.359187, 0.177349, -0.189991], [0.375776, 0.33228, -0.320625, -0.012691, -0.472534, -0.192462], [0.267884, -0.033955, 0.360624, -0.241585, 0.126757, 0.680104], [0.145751, -0.568268, 0.566574, -0.44558, -0.16855, 0.503967], [-0.236994, -0.146793, -0.107955, -0.35569, 0.29482, 0.083821]], "network.2.bias": [-0.145183, -0.199579, 0.669946, 0.333636, -0.091529, -0.066305], "network.4.weight": [[-0.440227, 0.364531, -0.254571, 0.112408, 0.455099, -0.21484], [-0.211525, 0.223611, -0.52484, 0.357551, 0.036632, 0.045614], [0.257712, -0.3014, 0.144708, 0.095317, -0.190175, -0.301511], [-0.289481, -0.271432, 0.463336, -0.114721, 0.044536, -0.541435], [0.365186, -0.512444, 0.395227, 0.437991, -0.40434, -0.536133], [0.258982, 0.236894, -0.017119, -0.459404, -0.355214, -0.348229]], "network.4.bias": [-0.010466, 0.096463, 0.579616, 0.715142, 0.166302, -0.289329], "network.6.weight": [[0.345378, 0.359852, -0.655688, -0.244009, -0.3424, 0.164872], [0.415157, 0.530922, -0.495861, -0.557255, -0.188608, -0.373526], [0.336635, 0.100608, -0.56956, -0.305013, -0.047494, 0.508791], [0.190627, -0.103546, -0.031985, -0.343097, 0.116935, -0.16315], [0.507321, 0.386719, -0.14991, -0.606327, -0.462922, 0.596612], [-0.072135, -0.041067, 0.307488, 0.342384, -0.191577, 0.11788]], "network.6.bias": [0.177279, 0.15086, 0.08308, -0.292191, 0.426428, -0.710003], "network.8.weight": [[-0.217018, -0.500961, -0.272907, -0.716541, -0.201218, -0.449602], [0.722672, 0.309539, 0.711929, -0.089945, 0.48564, 0.107637], [0.563096, -0.11957, 0.050921, 0.09221, 0.456102, -0.483601], [-0.021082, -0.052432, 0.447414, 0.423236, 0.474163, -0.259268], [-0.32073, -0.198579, -0.42096, -0.452478, -0.366503, -0.126902], [0.224797, 0.65942, 0.175553, -0.125191, 0.618776, -0.442091]], "network.8.bias": [0.079661, 0.157246, 0.113344, -0.189939, 0.567477, 0.262549], "network.10.weight": [[-0.506248, 0.55159, 0.034999, 0.083054, -0.273404, 0.03243], [-0.031528, -0.289336, -0.068632, -0.346738, 0.531115, 0.041738], [-0.342237, -0.025745, 0.611984, 0.389919, -0.449886, 0.530086], [0.506401, -0.378135, -0.085319, -0.00538, 0.60078, -0.142014], [0.017156, 0.014471, -0.06078, -0.367164, 0.313429, -0.205656], [0.507037, -0.354593, -0.120158, -0.267852, 0.349259, -0.168334]], "network.10.bias": [0.094058, -0.090554, 0.03593, 0.466013, -0.176252, 0.225029], "network.12.weight": [[0.280564, -0.407763, 0.683506, -0.533788, -0.211741, -0.544615]], "network.12.bias": [-0.156794]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6925093531608582, "train_acc": 0.475, "val_loss": 0.6815372705459595, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.687122106552124, "train_acc": 0.545, "val_loss": 0.6746490597724915, "val_acc": 0.62}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6871865093708038, "train_acc": 0.545, "val_loss": 0.6666052937507629, "val_acc": 0.62}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6827069222927094, "train_acc": 0.545, "val_loss": 0.6539045572280884, "val_acc": 0.62}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6686365008354187, "train_acc": 0.545, "val_loss": 0.6277080774307251, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.635674238204956, "train_acc": 0.64, "val_loss": 0.5694202184677124, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5288839638233185, "train_acc": 0.915, "val_loss": 0.5028955340385437, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.42006781697273254, "train_acc": 0.915, "val_loss": 0.47849610447883606, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.3565382659435272, "train_acc": 0.925, "val_loss": 0.4528459906578064, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.349804624915123, "train_acc": 0.93, "val_loss": 0.3849860727787018, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.3034876734018326, "train_acc": 0.92, "val_loss": 0.37049010396003723, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.26022766530513763, "train_acc": 0.925, "val_loss": 0.3388826847076416, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.22602937370538712, "train_acc": 0.925, "val_loss": 0.2934921383857727, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.21214140951633453, "train_acc": 0.93, "val_loss": 0.28210386633872986, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.19572673738002777, "train_acc": 0.93, "val_loss": 0.27737659215927124, "val_acc": 0.86}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6815372705459595, "final_val_loss": 0.6277080774307251, "initial_val_acc": 0.62, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.5694202184677124, "final_val_loss": 0.27737659215927124, "initial_val_acc": 0.88, "final_val_acc": 0.86, "best_val_acc": 0.9, "best_epoch": 9}, "improvement": 0.28, "first_improvement_epoch": 4}}
|
172
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.56, "improved_accuracy": 0.74, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9821, "learning_rate": 0.09174390295093264, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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[
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"network.2.weight": [
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],
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[
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"network.6.weight": [
[
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"network.8.weight": [
[
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[
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],
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],
[
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],
[
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]
],
"network.8.bias": [
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0.352543,
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],
"network.10.weight": [
[
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0.450756,
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-0.252048,
-0.285312,
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]
],
"network.10.bias": [
0.028905
]
}
## Activation Signature
### 0
mean: [-0.228075, -1.813244, -0.263474, -0.854740, 1.817954, 1.588329, -1.032482, -1.669670]
std: [2.081054, 1.209645, 1.837433, 2.515036, 2.097585, 1.593465, 1.567314, 2.317842]
pca: [[-0.385710, -0.267219, 0.012892, 0.791106, 0.139433, 0.068919, 0.243340, -0.265331, 0.000000, 0.000000], [-0.112902, 0.308480, -0.245678, 0.204208, 0.606966, -0.427995, -0.286434, 0.395477, 0.000000, 0.000000], [-0.256790, 0.548841, 0.036627, -0.104320, -0.200299, -0.437718, 0.604478, -0.153286, 0.000000, 0.000000], [0.603559, 0.028554, -0.111147, 0.420375, -0.398401, -0.464446, -0.202719, -0.174083, 0.000000, 0.000000], [-0.365513, 0.230158, 0.672343, 0.109705, -0.263877, -0.075811, -0.522986, 0.021311, 0.000000, 0.000000], [0.222164, -0.318922, 0.490731, 0.095868, 0.013969, -0.186597, 0.401231, 0.634763, 0.000000, 0.000000], [-0.290255, 0.064718, -0.457561, 0.169524, -0.573520, 0.190125, -0.036941, 0.554099, 0.000000, 0.000000], [0.375569, 0.610344, 0.153480, 0.308038, 0.120647, 0.572757, 0.128012, 0.094827, 0.000000, 0.000000]]
fourier: [[29.895263, 36.467059, 37.491214, 43.551285, 44.736128], [17.709304, 18.390282, 22.124450, 22.547432, 163.191988], [27.756168, 28.203812, 28.446923, 31.337794, 34.099843], [40.920627, 41.362214, 49.597172, 50.250604, 76.926630], [34.975064, 35.851639, 40.547906, 43.537788, 163.615852], [21.831649, 24.404625, 27.079501, 29.016230, 142.949584], [21.815167, 24.366509, 24.548680, 26.355494, 92.923398], [32.129156, 33.368490, 38.606627, 55.011508, 150.270278]]
### 2
mean: [0.120127, -1.235111, 0.275747, 1.726092, -1.460272, -1.171290, -1.925458, -1.720546]
std: [1.365853, 1.254896, 0.701430, 2.049203, 0.926934, 1.188266, 1.648651, 1.038215]
pca: [[0.170764, 0.599257, 0.565802, -0.487802, -0.103345, 0.137329, -0.059756, 0.143310, 0.000000, 0.000000], [-0.397876, 0.011973, 0.354500, 0.236591, -0.211839, 0.106303, 0.770036, -0.103801, 0.000000, 0.000000], [-0.171155, -0.194348, 0.248351, 0.289195, -0.378688, -0.117121, -0.276260, 0.744433, 0.000000, 0.000000], [0.638037, 0.255843, -0.057206, 0.600440, -0.123303, 0.374672, 0.085583, 0.027296, 0.000000, 0.000000], [-0.226839, 0.250501, -0.501932, -0.169848, 0.277849, 0.403799, 0.256551, 0.546752, 0.000000, 0.000000], [-0.225419, 0.458654, 0.152167, 0.446619, 0.579879, -0.408183, -0.110502, 0.033401, 0.000000, 0.000000], [-0.518684, 0.194168, -0.022562, 0.182892, -0.194128, 0.525493, -0.487117, -0.328930, 0.000000, 0.000000], [-0.069611, 0.476136, -0.462221, -0.012047, -0.578525, -0.458185, 0.067211, -0.074253, 0.000000, 0.000000]]
fourier: [[19.716266, 21.053760, 21.490215, 22.640015, 22.787968], [19.039749, 21.923253, 24.466867, 26.504201, 111.159999], [11.274615, 11.327245, 11.583389, 14.705845, 24.817241], [32.560286, 35.082483, 37.410591, 42.518675, 155.348306], [14.841065, 15.384714, 15.779852, 16.692799, 131.424474], [17.901954, 19.628429, 21.115949, 25.025972, 105.416079], [24.299662, 26.500840, 33.281439, 33.945173, 173.291251], [16.123995, 16.321902, 16.591042, 23.239193, 154.849190]]
### 4
mean: [0.237157, 2.162302, -0.978502, 0.333599, -0.010816, -1.696239, -2.158536, 0.738301]
std: [0.555217, 1.660779, 0.323544, 0.635694, 0.662458, 1.673380, 1.920641, 0.750200]
pca: [[-0.160544, 0.337469, -0.057810, 0.116064, 0.211595, 0.271381, -0.374600, 0.764711, 0.000000, 0.000000], [-0.505476, 0.009801, 0.609850, 0.047002, -0.001698, 0.504727, -0.130256, -0.313931, 0.000000, 0.000000], [0.030970, 0.564313, -0.008675, 0.702422, -0.231303, -0.228002, -0.115359, -0.261392, 0.000000, 0.000000], [-0.192832, -0.092146, -0.143058, 0.337955, -0.217764, 0.315266, 0.775776, 0.266467, 0.000000, 0.000000], [-0.170960, 0.665218, 0.150062, -0.456399, 0.243685, -0.226007, 0.431710, -0.024586, 0.000000, 0.000000], [0.508640, -0.039236, 0.737117, 0.048772, -0.209096, -0.143601, 0.119421, 0.339738, 0.000000, 0.000000], [0.585641, 0.154094, -0.061820, 0.119190, 0.515056, 0.527746, 0.113748, -0.241898, 0.000000, 0.000000], [-0.222844, -0.302124, 0.185789, 0.389647, 0.697077, -0.412323, 0.118320, 0.052855, 0.000000, 0.000000]]
fourier: [[8.115547, 8.578265, 10.524574, 11.124726, 21.344145], [25.224668, 28.145553, 30.235504, 33.863539, 194.607199], [4.751904, 4.840454, 5.938297, 6.101583, 88.065156], [9.962902, 10.068591, 11.918585, 12.832988, 30.023884], [9.443323, 10.547368, 11.174074, 11.251350, 12.102355], [25.300658, 27.161002, 32.301729, 33.141125, 152.661467], [28.794877, 31.888485, 35.470494, 38.757005, 194.268232], [12.176651, 13.183432, 13.205356, 15.078111, 66.447040]]
### 6
mean: [0.113830, -1.859713, -1.916014, -2.045878, 1.319317, -0.817773, -1.757343, -1.039470]
std: [0.238738, 1.315876, 2.010357, 1.495256, 1.111276, 0.211375, 1.052055, 0.230074]
pca: [[-0.070287, 0.059224, 0.527691, 0.256412, -0.070342, -0.306483, -0.156245, 0.723916, 0.000000, 0.000000], [0.406272, -0.441249, 0.168173, 0.010640, -0.327614, 0.677536, -0.115381, 0.179299, 0.000000, 0.000000], [0.621358, -0.072093, 0.107351, -0.595341, 0.375949, -0.277297, 0.079267, 0.135085, 0.000000, 0.000000], [0.461717, -0.291022, -0.315034, 0.687916, 0.168432, -0.307173, -0.046388, -0.069076, 0.000000, 0.000000], [-0.343030, -0.423938, -0.012704, 0.067527, 0.565917, 0.227035, 0.513998, 0.248765, 0.000000, 0.000000], [0.058424, 0.080832, 0.693405, 0.218835, 0.389388, 0.142272, -0.147023, -0.517565, 0.000000, 0.000000], [0.323802, 0.698043, -0.058846, 0.231580, 0.068631, 0.333529, 0.449870, 0.180171, 0.000000, 0.000000], [0.069312, -0.195909, 0.313136, 0.020042, -0.491344, -0.304526, 0.682383, -0.241988, 0.000000, 0.000000]]
fourier: [[3.916855, 4.013325, 4.341412, 4.555033, 10.244721], [20.332661, 22.396128, 23.989025, 26.752332, 167.374176], [30.132333, 33.758863, 36.703625, 40.951712, 172.441210], [22.853358, 24.620746, 27.637890, 30.036796, 184.129016], [16.375701, 18.338113, 20.374002, 22.517907, 118.738486], [3.314746, 3.786150, 4.051999, 4.290611, 73.599596], [15.785573, 17.022763, 19.254075, 21.489692, 158.160922], [3.976326, 4.028669, 4.098404, 4.727305, 93.552314]]
### 8
mean: [0.026174, -0.194118, -0.053730, -1.641764, 0.526787, -0.105668, -0.005780, -0.431678]
std: [0.469606, 0.133148, 0.253484, 0.844723, 0.299526, 0.036902, 0.257305, 0.026956]
pca: [[-0.433281, 0.590876, -0.091664, 0.409389, 0.418534, 0.098019, -0.064274, -0.313404, 0.000000, 0.000000], [0.120293, 0.459664, -0.243350, -0.261811, -0.222958, 0.024419, 0.771887, -0.018909, 0.000000, 0.000000], [0.232803, -0.175703, -0.599924, 0.535544, -0.014066, 0.404441, 0.051820, 0.318996, 0.000000, 0.000000], [0.781354, 0.100078, 0.236511, 0.014588, 0.389324, 0.217570, -0.004920, -0.352683, 0.000000, 0.000000], [-0.276672, -0.282442, 0.042635, -0.173578, -0.239080, 0.707663, 0.062189, -0.499918, 0.000000, 0.000000], [0.016568, 0.101238, 0.663111, 0.555189, -0.390304, 0.109416, 0.222379, 0.166625, 0.000000, 0.000000], [-0.237009, -0.369387, 0.224816, -0.050957, 0.641019, 0.109098, 0.499231, 0.286708, 0.000000, 0.000000], [-0.009494, 0.414992, 0.156383, -0.368612, 0.054270, 0.504208, -0.307893, 0.561598, 0.000000, 0.000000]]
fourier: [[6.963040, 7.018263, 7.699866, 8.570333, 9.672792], [2.052510, 2.233612, 2.523317, 2.592920, 17.470631], [3.837853, 4.186802, 4.835713, 4.846374, 5.277178], [12.162531, 13.992705, 15.645123, 17.083520, 147.758754], [4.297363, 5.009811, 5.639689, 6.009720, 47.410822], [0.577982, 0.601345, 0.615469, 0.666465, 9.510093], [3.633093, 3.757651, 4.252379, 4.922335, 5.121937], [0.385788, 0.391963, 0.521625, 0.562015, 38.850987]]
### 10
mean: [-0.065187]
std: [0.125529]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.922645, 2.213008, 2.269080, 2.294790, 5.866828]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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[
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[
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"network.0.bias": [
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],
"network.2.bias": [
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[
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"network.4.bias": [
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"network.6.weight": [
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"network.8.weight": [
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0.320954,
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]
],
"network.10.bias": [
0.028905
]
}
## Activation Signature
### 0
mean: [-0.228075, -1.813244, -0.263474, -0.854740, 1.817954, 1.588329, -1.032482, -1.669670]
std: [2.081054, 1.209645, 1.837433, 2.515036, 2.097585, 1.593465, 1.567314, 2.317842]
pca: [[-0.385710, -0.267219, 0.012892, 0.791106, 0.139433, 0.068919, 0.243340, -0.265331, 0.000000, 0.000000], [-0.112902, 0.308480, -0.245678, 0.204208, 0.606966, -0.427995, -0.286434, 0.395477, 0.000000, 0.000000], [-0.256790, 0.548841, 0.036627, -0.104320, -0.200299, -0.437718, 0.604478, -0.153286, 0.000000, 0.000000], [0.603559, 0.028554, -0.111147, 0.420375, -0.398401, -0.464446, -0.202719, -0.174083, 0.000000, 0.000000], [-0.365513, 0.230158, 0.672343, 0.109705, -0.263877, -0.075811, -0.522986, 0.021311, 0.000000, 0.000000], [0.222164, -0.318922, 0.490731, 0.095868, 0.013969, -0.186597, 0.401231, 0.634763, 0.000000, 0.000000], [-0.290255, 0.064718, -0.457561, 0.169524, -0.573520, 0.190125, -0.036941, 0.554099, 0.000000, 0.000000], [0.375569, 0.610344, 0.153480, 0.308038, 0.120647, 0.572757, 0.128012, 0.094827, 0.000000, 0.000000]]
fourier: [[29.895263, 36.467059, 37.491214, 43.551285, 44.736128], [17.709304, 18.390282, 22.124450, 22.547432, 163.191988], [27.756168, 28.203812, 28.446923, 31.337794, 34.099843], [40.920627, 41.362214, 49.597172, 50.250604, 76.926630], [34.975064, 35.851639, 40.547906, 43.537788, 163.615852], [21.831649, 24.404625, 27.079501, 29.016230, 142.949584], [21.815167, 24.366509, 24.548680, 26.355494, 92.923398], [32.129156, 33.368490, 38.606627, 55.011508, 150.270278]]
### 2
mean: [0.120127, -1.235111, 0.275747, 1.726092, -1.460272, -1.171290, -1.925458, -1.720546]
std: [1.365853, 1.254896, 0.701430, 2.049203, 0.926934, 1.188266, 1.648651, 1.038215]
pca: [[0.170764, 0.599257, 0.565802, -0.487802, -0.103345, 0.137329, -0.059756, 0.143310, 0.000000, 0.000000], [-0.397876, 0.011973, 0.354500, 0.236591, -0.211839, 0.106303, 0.770036, -0.103801, 0.000000, 0.000000], [-0.171155, -0.194348, 0.248351, 0.289195, -0.378688, -0.117121, -0.276260, 0.744433, 0.000000, 0.000000], [0.638037, 0.255843, -0.057206, 0.600440, -0.123303, 0.374672, 0.085583, 0.027296, 0.000000, 0.000000], [-0.226839, 0.250501, -0.501932, -0.169848, 0.277849, 0.403799, 0.256551, 0.546752, 0.000000, 0.000000], [-0.225419, 0.458654, 0.152167, 0.446619, 0.579879, -0.408183, -0.110502, 0.033401, 0.000000, 0.000000], [-0.518684, 0.194168, -0.022562, 0.182892, -0.194128, 0.525493, -0.487117, -0.328930, 0.000000, 0.000000], [-0.069611, 0.476136, -0.462221, -0.012047, -0.578525, -0.458185, 0.067211, -0.074253, 0.000000, 0.000000]]
fourier: [[19.716266, 21.053760, 21.490215, 22.640015, 22.787968], [19.039749, 21.923253, 24.466867, 26.504201, 111.159999], [11.274615, 11.327245, 11.583389, 14.705845, 24.817241], [32.560286, 35.082483, 37.410591, 42.518675, 155.348306], [14.841065, 15.384714, 15.779852, 16.692799, 131.424474], [17.901954, 19.628429, 21.115949, 25.025972, 105.416079], [24.299662, 26.500840, 33.281439, 33.945173, 173.291251], [16.123995, 16.321902, 16.591042, 23.239193, 154.849190]]
### 4
mean: [0.237157, 2.162302, -0.978502, 0.333599, -0.010816, -1.696239, -2.158536, 0.738301]
std: [0.555217, 1.660779, 0.323544, 0.635694, 0.662458, 1.673380, 1.920641, 0.750200]
pca: [[-0.160544, 0.337469, -0.057810, 0.116064, 0.211595, 0.271381, -0.374600, 0.764711, 0.000000, 0.000000], [-0.505476, 0.009801, 0.609850, 0.047002, -0.001698, 0.504727, -0.130256, -0.313931, 0.000000, 0.000000], [0.030970, 0.564313, -0.008675, 0.702422, -0.231303, -0.228002, -0.115359, -0.261392, 0.000000, 0.000000], [-0.192832, -0.092146, -0.143058, 0.337955, -0.217764, 0.315266, 0.775776, 0.266467, 0.000000, 0.000000], [-0.170960, 0.665218, 0.150062, -0.456399, 0.243685, -0.226007, 0.431710, -0.024586, 0.000000, 0.000000], [0.508640, -0.039236, 0.737117, 0.048772, -0.209096, -0.143601, 0.119421, 0.339738, 0.000000, 0.000000], [0.585641, 0.154094, -0.061820, 0.119190, 0.515056, 0.527746, 0.113748, -0.241898, 0.000000, 0.000000], [-0.222844, -0.302124, 0.185789, 0.389647, 0.697077, -0.412323, 0.118320, 0.052855, 0.000000, 0.000000]]
fourier: [[8.115547, 8.578265, 10.524574, 11.124726, 21.344145], [25.224668, 28.145553, 30.235504, 33.863539, 194.607199], [4.751904, 4.840454, 5.938297, 6.101583, 88.065156], [9.962902, 10.068591, 11.918585, 12.832988, 30.023884], [9.443323, 10.547368, 11.174074, 11.251350, 12.102355], [25.300658, 27.161002, 32.301729, 33.141125, 152.661467], [28.794877, 31.888485, 35.470494, 38.757005, 194.268232], [12.176651, 13.183432, 13.205356, 15.078111, 66.447040]]
### 6
mean: [0.113830, -1.859713, -1.916014, -2.045878, 1.319317, -0.817773, -1.757343, -1.039470]
std: [0.238738, 1.315876, 2.010357, 1.495256, 1.111276, 0.211375, 1.052055, 0.230074]
pca: [[-0.070287, 0.059224, 0.527691, 0.256412, -0.070342, -0.306483, -0.156245, 0.723916, 0.000000, 0.000000], [0.406272, -0.441249, 0.168173, 0.010640, -0.327614, 0.677536, -0.115381, 0.179299, 0.000000, 0.000000], [0.621358, -0.072093, 0.107351, -0.595341, 0.375949, -0.277297, 0.079267, 0.135085, 0.000000, 0.000000], [0.461717, -0.291022, -0.315034, 0.687916, 0.168432, -0.307173, -0.046388, -0.069076, 0.000000, 0.000000], [-0.343030, -0.423938, -0.012704, 0.067527, 0.565917, 0.227035, 0.513998, 0.248765, 0.000000, 0.000000], [0.058424, 0.080832, 0.693405, 0.218835, 0.389388, 0.142272, -0.147023, -0.517565, 0.000000, 0.000000], [0.323802, 0.698043, -0.058846, 0.231580, 0.068631, 0.333529, 0.449870, 0.180171, 0.000000, 0.000000], [0.069312, -0.195909, 0.313136, 0.020042, -0.491344, -0.304526, 0.682383, -0.241988, 0.000000, 0.000000]]
fourier: [[3.916855, 4.013325, 4.341412, 4.555033, 10.244721], [20.332661, 22.396128, 23.989025, 26.752332, 167.374176], [30.132333, 33.758863, 36.703625, 40.951712, 172.441210], [22.853358, 24.620746, 27.637890, 30.036796, 184.129016], [16.375701, 18.338113, 20.374002, 22.517907, 118.738486], [3.314746, 3.786150, 4.051999, 4.290611, 73.599596], [15.785573, 17.022763, 19.254075, 21.489692, 158.160922], [3.976326, 4.028669, 4.098404, 4.727305, 93.552314]]
### 8
mean: [0.026174, -0.194118, -0.053730, -1.641764, 0.526787, -0.105668, -0.005780, -0.431678]
std: [0.469606, 0.133148, 0.253484, 0.844723, 0.299526, 0.036902, 0.257305, 0.026956]
pca: [[-0.433281, 0.590876, -0.091664, 0.409389, 0.418534, 0.098019, -0.064274, -0.313404, 0.000000, 0.000000], [0.120293, 0.459664, -0.243350, -0.261811, -0.222958, 0.024419, 0.771887, -0.018909, 0.000000, 0.000000], [0.232803, -0.175703, -0.599924, 0.535544, -0.014066, 0.404441, 0.051820, 0.318996, 0.000000, 0.000000], [0.781354, 0.100078, 0.236511, 0.014588, 0.389324, 0.217570, -0.004920, -0.352683, 0.000000, 0.000000], [-0.276672, -0.282442, 0.042635, -0.173578, -0.239080, 0.707663, 0.062189, -0.499918, 0.000000, 0.000000], [0.016568, 0.101238, 0.663111, 0.555189, -0.390304, 0.109416, 0.222379, 0.166625, 0.000000, 0.000000], [-0.237009, -0.369387, 0.224816, -0.050957, 0.641019, 0.109098, 0.499231, 0.286708, 0.000000, 0.000000], [-0.009494, 0.414992, 0.156383, -0.368612, 0.054270, 0.504208, -0.307893, 0.561598, 0.000000, 0.000000]]
fourier: [[6.963040, 7.018263, 7.699866, 8.570333, 9.672792], [2.052510, 2.233612, 2.523317, 2.592920, 17.470631], [3.837853, 4.186802, 4.835713, 4.846374, 5.277178], [12.162531, 13.992705, 15.645123, 17.083520, 147.758754], [4.297363, 5.009811, 5.639689, 6.009720, 47.410822], [0.577982, 0.601345, 0.615469, 0.666465, 9.510093], [3.633093, 3.757651, 4.252379, 4.922335, 5.121937], [0.385788, 0.391963, 0.521625, 0.562015, 38.850987]]
### 10
mean: [-0.065187]
std: [0.125529]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.922645, 2.213008, 2.269080, 2.294790, 5.866828]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.607925, -0.8411, 0.413509, -0.078228, 0.305684], [0.343888, -0.257305, -0.249264, -0.218061, -0.344911], [0.814426, 0.023853, -0.673756, -0.118963, -0.216185], [-1.005885, -0.143604, -0.234348, 0.429679, -0.047686], [1.099264, -0.28288, -0.185868, 0.417455, -0.031866], [-0.362944, -0.090036, 0.438182, 0.603614, 0.054435], [0.344995, -0.1058, -0.25245, -0.581203, 0.360067], [-0.096701, -0.220936, -0.739004, 0.548808, -0.604409]], "network.0.bias": [-0.52496, -0.358633, 0.60869, 0.285624, 0.497801, -0.07281, 0.060597, -0.034489], "network.2.weight": [[-0.054918, -0.328117, 0.40009, -0.898572, 0.160852, -0.179025, 0.063072, -0.682407], [-0.242454, 0.123237, -0.137595, -0.142339, -0.380324, 0.207234, -0.150436, -0.864799], [-0.132945, 0.812715, -0.151431, 0.16561, -0.123325, 0.254373, -0.001321, -0.320951], [0.060588, -0.829454, 0.745333, 0.056158, 0.625426, -0.213581, -0.045475, 0.594272], [-0.137095, -0.702411, -0.34701, -0.395513, -0.150179, -0.339771, -0.325394, -0.085172], [-0.1944, -0.465075, 0.389472, -0.396052, -0.370256, -0.227298, -0.384911, -0.65461], [-0.448543, -0.203, -0.446054, -0.528938, -0.389978, -0.021355, -0.238567, -0.83604], [-0.437279, 0.381943, -0.578263, -0.49113, 0.275553, -0.563898, -0.316484, -0.544926]], "network.2.bias": [0.420719, -0.449819, 0.260527, 0.381069, -0.220837, 0.083584, -0.352066, -0.453336], "network.4.weight": [[0.33871, -0.140792, -0.309828, 0.098206, -0.016021, -0.161837, -0.285124, -0.208606], [0.066173, -0.09567, -0.095871, 0.786356, -0.565592, -0.471493, -0.596451, -0.489276], [0.314995, -0.387738, -0.720381, -0.256325, 0.001604, 0.059492, 0.266182, 0.244831], [0.120193, 0.095293, 0.1155, 0.266761, 0.516454, 0.495976, 0.252388, -0.346813], [0.495262, -0.07215, -0.666506, 0.022879, -0.738895, -1.148332, -0.674099, 0.014612], [-0.723562, -0.260697, -0.312256, -0.566686, -0.753052, -0.627503, -0.277239, 0.810978], [-0.305016, -0.25121, -0.235856, -0.835733, -0.067182, 0.05409, -0.464175, 0.696496], [-0.105189, -0.502193, 0.283207, 0.441591, 0.230137, 0.426688, -0.285129, 0.169849]], "network.4.bias": [-0.048055, 0.671656, -0.447227, -0.135353, -0.254281, -0.380021, -0.538166, -0.044239], "network.6.weight": [[-0.136841, -0.063069, -0.157183, 0.193112, 0.424216, -0.13899, -0.078352, 0.1674], [-0.300272, -0.584487, 0.028994, -0.130185, 0.208715, -0.20671, 0.771347, -0.298879], [-0.12616, -0.840164, 0.624123, -0.163136, -0.26457, 0.076795, -0.585959, -0.378505], [-0.60906, -0.616249, 0.466467, -0.848299, 0.362357, 0.465651, 0.278657, 0.178603], [0.022145, 0.714678, -0.154477, -0.114719, 0.197748, -0.382473, -0.166203, -0.151446], [-0.28373, -0.286131, -0.478218, 0.19594, 0.529654, -0.60649, -0.089833, 0.189013], [-0.563713, -0.676087, 0.189029, 0.328542, 0.050354, -0.239586, 0.186305, 0.217271], [-0.444215, -0.087188, 0.101508, 0.395929, 0.336434, 0.083888, 0.060919, -0.336406]], "network.6.bias": [0.005988, -0.319303, 0.227534, -0.38494, -0.140945, -0.556143, -0.452511, -0.679839], "network.8.weight": [[-0.094015, -0.501416, -0.265634, 0.690498, 0.388056, 0.693402, 0.561661, -0.03238], [-0.263729, 0.444692, 0.391235, -0.139983, -0.084784, 0.052948, -0.198755, -0.550565], [0.397372, 0.37694, 0.924062, -0.17755, -0.314271, 0.320954, -0.002428, -0.630368], [-0.056197, 0.094209, 0.269122, 0.021747, -0.772932, 0.447224, 0.510067, 0.500087], [0.105192, 0.219728, -0.30181, -0.223801, 0.276875, 0.091411, -0.378711, -0.252432], [-0.084355, -0.148298, -0.944462, 0.693182, 0.001299, 0.302201, 0.056459, 0.252258], [0.168531, -0.690952, -0.444152, 0.296672, 0.222361, 0.49638, 0.127459, 0.116937], [-0.287008, 0.180535, -0.254435, -0.085825, 0.037896, 0.217974, 0.240367, 0.301351]], "network.8.bias": [-0.281648, -0.098133, 0.352543, -0.470932, 0.097591, -0.042891, -0.25863, -0.361766], "network.10.weight": [[-0.213387, -0.273587, -0.123701, 0.450756, -0.155773, -0.252048, -0.285312, -0.042818]], "network.10.bias": [0.028905]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6956851482391357, "train_acc": 0.52, "val_loss": 0.6962504386901855, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6878066062927246, "train_acc": 0.56, "val_loss": 0.7022401690483093, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6830381751060486, "train_acc": 0.56, "val_loss": 0.6387040615081787, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.7350499033927917, "train_acc": 0.615, "val_loss": 3.6692399978637695, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 2.8166584968566895, "train_acc": 0.495, "val_loss": 0.7103025317192078, "val_acc": 0.52}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.704077810049057, "train_acc": 0.495, "val_loss": 0.6771328449249268, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.6851084232330322, "train_acc": 0.67, "val_loss": 0.7002043128013611, "val_acc": 0.48}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.6924020946025848, "train_acc": 0.505, "val_loss": 0.7061665058135986, "val_acc": 0.48}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.6996367871761322, "train_acc": 0.505, "val_loss": 0.7031855583190918, "val_acc": 0.48}], "summary": {"total_epochs": 9, "degraded_epochs": 3, "improved_epochs": 6, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6962504386901855, "final_val_loss": 0.6387040615081787, "initial_val_acc": 0.52, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 3.6692399978637695, "final_val_loss": 0.7031855583190918, "initial_val_acc": 0.52, "final_val_acc": 0.48, "best_val_acc": 0.74, "best_epoch": 5}, "improvement": 0.17999999999999994, "first_improvement_epoch": 2}}
|
173
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.44, "improved_accuracy": 0.88, "improvement": 0.44, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1042, "learning_rate": 0.09726034588695193, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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[
0.233059,
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0.1919,
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]
],
"network.6.bias": [
-0.50541,
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0.523104,
0.220393,
-0.43213,
-0.237613
],
"network.8.weight": [
[
0.359998,
0.261558,
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],
[
-0.278689,
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],
[
-0.238316,
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],
[
0.174601,
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],
[
0.07756,
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0.039102,
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],
[
-0.384779,
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0.309657
]
],
"network.8.bias": [
-0.743211,
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],
"network.10.weight": [
[
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0.274115,
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],
[
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0.008464,
0.25293
],
[
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0.726898,
0.021724,
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],
[
0.050321,
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0.098669,
0.368854
],
[
0.115782,
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0.167728,
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],
[
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]
],
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0.014369,
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],
"network.12.weight": [
[
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],
"network.12.bias": [
-0.54765
]
}
## Activation Signature
### 0
mean: [0.818146, 0.209278, 1.431813, -3.009720, 0.554142, -2.525859]
std: [3.569574, 2.078558, 1.478789, 1.885736, 2.130821, 1.776988]
pca: [[0.750450, 0.235135, 0.602415, -0.036640, 0.102768, 0.082027, 0.000000, 0.000000, 0.000000, 0.000000], [0.409800, -0.145170, -0.504244, 0.050003, 0.629947, -0.396729, 0.000000, 0.000000, 0.000000, 0.000000], [0.263055, -0.246473, -0.250091, 0.674812, -0.115048, 0.582151, 0.000000, 0.000000, 0.000000, 0.000000], [-0.067167, 0.668950, -0.317881, -0.259111, 0.302222, 0.537093, 0.000000, 0.000000, 0.000000, 0.000000], [0.427268, -0.179600, -0.411902, -0.548942, -0.554693, 0.080636, 0.000000, 0.000000, 0.000000, 0.000000], [0.112343, 0.618981, -0.222658, 0.415102, -0.424674, -0.449452, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[56.064385, 60.937215, 61.616708, 63.169165, 73.633159], [30.098466, 32.312216, 35.573724, 38.493800, 39.727839], [22.736012, 23.314721, 26.229175, 28.478159, 128.863214], [29.324923, 29.628736, 36.637931, 38.142182, 270.874756], [33.095854, 35.549640, 36.680655, 37.578975, 49.872801], [27.445459, 29.451714, 31.866766, 35.838390, 227.327318]]
### 2
mean: [-1.974091, 0.010913, -1.310926, 1.235408, 2.749077, 3.555877]
std: [1.956951, 0.997236, 0.850297, 1.641718, 3.004150, 3.326438]
pca: [[-0.333985, 0.740855, 0.440540, 0.195653, -0.308979, -0.108463, 0.000000, 0.000000, 0.000000, 0.000000], [-0.155451, -0.446120, 0.497621, 0.671456, 0.150112, 0.236216, 0.000000, 0.000000, 0.000000, 0.000000], [-0.158125, -0.021651, 0.548927, -0.548038, 0.597998, -0.123531, 0.000000, 0.000000, 0.000000, 0.000000], [0.314638, 0.184978, 0.176790, -0.223872, -0.095551, 0.881069, 0.000000, 0.000000, 0.000000, 0.000000], [0.578038, -0.239577, 0.474219, -0.145736, -0.495346, -0.342029, 0.000000, 0.000000, 0.000000, 0.000000], [0.637307, 0.400034, -0.028956, 0.373046, 0.519518, -0.154635, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.243736, 29.285956, 29.973114, 41.109350, 177.668213], [14.108283, 14.315251, 15.735457, 16.500117, 19.786234], [12.912593, 13.450620, 13.553262, 16.472430, 117.983317], [25.522152, 27.038729, 31.732291, 31.908193, 111.186753], [49.033390, 49.655813, 51.475015, 58.873965, 247.416930], [51.581188, 55.122842, 60.601888, 64.283477, 320.028900]]
### 4
mean: [-1.787528, -3.439071, 5.327313, -5.696261, -2.697767, 0.621749]
std: [1.938766, 3.025070, 5.830698, 5.824030, 2.195225, 1.109710]
pca: [[-0.206588, 0.546163, -0.163585, -0.464809, 0.256961, 0.591770, 0.000000, 0.000000, 0.000000, 0.000000], [-0.324501, -0.283092, -0.533498, -0.126944, 0.615945, -0.366653, 0.000000, 0.000000, 0.000000, 0.000000], [0.626057, -0.456849, -0.220268, 0.076754, 0.258743, 0.527242, 0.000000, 0.000000, 0.000000, 0.000000], [-0.625623, -0.243151, 0.039130, 0.571696, -0.009792, 0.470116, 0.000000, 0.000000, 0.000000, 0.000000], [-0.234561, -0.499074, -0.196003, -0.567516, -0.565633, 0.124396, 0.000000, 0.000000, 0.000000, 0.000000], [-0.116832, -0.323507, 0.774696, -0.336208, 0.409388, 0.030098, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.845615, 31.899441, 34.159148, 38.096558, 160.877512], [48.513918, 49.890023, 55.935739, 58.626474, 309.516410], [92.314704, 96.974802, 103.347815, 114.652854, 479.458242], [91.402781, 96.853899, 104.615856, 113.899109, 512.663524], [33.997962, 35.952204, 40.670905, 42.970628, 242.799036], [17.770629, 18.198025, 18.468942, 22.817161, 55.957409]]
### 6
mean: [-0.535721, -2.347756, 3.222431, 2.205915, -2.592468, -2.217460]
std: [0.055837, 0.595349, 3.782624, 1.868798, 2.191942, 1.940245]
pca: [[-0.010787, -0.013162, -0.068187, -0.046521, 0.996270, 0.018505, 0.000000, 0.000000, 0.000000, 0.000000], [-0.102691, 0.791564, 0.251387, -0.402527, 0.014641, -0.370735, 0.000000, 0.000000, 0.000000, 0.000000], [0.732640, 0.464407, -0.107113, 0.361439, 0.017592, 0.324260, 0.000000, 0.000000, 0.000000, 0.000000], [0.361794, -0.279417, 0.817960, -0.296161, 0.039018, 0.180936, 0.000000, 0.000000, 0.000000, 0.000000], [-0.424754, 0.179792, 0.498919, 0.729059, 0.065023, 0.050826, 0.000000, 0.000000, 0.000000, 0.000000], [-0.375854, 0.217211, -0.051986, -0.293140, -0.034226, 0.849558, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[0.884474, 0.932272, 0.945441, 1.137242, 48.214917], [8.706038, 9.827724, 11.398119, 12.579426, 211.298072], [59.118838, 63.386202, 65.066419, 75.857428, 290.018808], [30.346897, 30.836305, 34.168922, 36.478584, 198.532387], [35.091448, 36.261547, 39.491873, 43.001699, 233.322133], [31.261584, 32.056552, 35.191272, 37.979457, 199.571440]]
### 8
mean: [-2.010106, 3.159894, 3.788139, -4.509103, -0.368530, 2.859775]
std: [1.124001, 2.974053, 3.781471, 4.272824, 0.064532, 3.168514]
pca: [[0.154680, 0.816400, 0.117953, -0.086761, 0.280710, -0.457522, 0.000000, 0.000000, 0.000000, 0.000000], [-0.409654, 0.258136, -0.257917, 0.812736, -0.195326, -0.018335, 0.000000, 0.000000, 0.000000, 0.000000], [-0.520870, 0.319192, 0.254525, -0.201637, 0.276551, 0.667001, 0.000000, 0.000000, 0.000000, 0.000000], [0.588557, 0.106007, 0.557695, 0.417989, -0.126659, 0.374943, 0.000000, 0.000000, 0.000000, 0.000000], [0.008444, -0.338724, 0.074387, 0.340971, 0.866034, -0.115694, 0.000000, 0.000000, 0.000000, 0.000000], [-0.436442, -0.197488, 0.733639, 0.017311, -0.201274, -0.437585, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.051334, 18.563213, 20.345300, 22.101894, 180.909556], [46.775179, 49.182496, 52.007524, 59.858821, 284.390484], [59.473768, 62.534901, 66.133414, 76.104983, 340.932484], [67.184153, 70.657400, 75.088507, 85.727493, 405.819268], [0.982366, 1.017200, 1.090624, 1.482729, 33.167682], [49.815494, 52.394697, 55.774423, 63.502767, 257.379729]]
### 10
mean: [-1.193331, -1.040180, -8.725243, -1.304275, 1.405006, -8.556255]
std: [1.215139, 0.863323, 8.629979, 1.037732, 2.258194, 8.478332]
pca: [[0.097679, -0.032799, -0.061495, -0.294802, 0.924688, -0.208913, 0.000000, 0.000000, 0.000000, 0.000000], [0.069393, 0.566816, -0.079890, 0.741850, 0.177898, -0.292460, 0.000000, 0.000000, 0.000000, 0.000000], [0.693721, -0.049891, -0.576018, 0.076263, 0.006437, 0.422619, 0.000000, 0.000000, 0.000000, 0.000000], [0.083410, 0.782347, -0.073422, -0.584528, -0.180522, -0.036399, 0.000000, 0.000000, 0.000000, 0.000000], [-0.181525, 0.249176, 0.379310, 0.123369, 0.277355, 0.817887, 0.000000, 0.000000, 0.000000, 0.000000], [0.681532, -0.031609, 0.713283, -0.006513, -0.061229, -0.148161, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.100832, 20.080615, 21.287777, 24.427563, 107.399780], [13.597544, 14.303387, 15.024361, 17.431063, 93.616222], [135.662002, 142.623198, 151.165130, 173.502583, 785.271827], [16.349286, 17.199557, 18.042722, 20.965108, 117.384764], [35.487604, 37.305142, 39.592886, 45.370987, 126.450502], [133.279266, 140.118483, 148.504082, 170.457410, 770.062925]]
### 12
mean: [-0.177982]
std: [0.455465]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.252434, 7.497939, 8.366330, 8.974218, 16.018414]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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],
[
-0.467777,
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-0.391394
]
],
"network.0.bias": [
0.797602,
-0.276633,
0.298528,
-0.239754,
0.200584,
-0.321918
],
"network.2.weight": [
[
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],
[
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0.22908,
-0.028062
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[
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[
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[
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1.093126,
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],
[
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0.367897,
-0.411927,
0.974658,
-0.13593
]
],
"network.2.bias": [
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0.894723,
-0.286268,
-0.337323,
-0.060587,
0.156898
],
"network.4.weight": [
[
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0.067619
],
[
0.124485,
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[
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1.042913,
0.510557
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[
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[
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[
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]
],
"network.4.bias": [
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],
"network.6.weight": [
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[
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],
"network.6.bias": [
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"network.8.weight": [
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],
"network.8.bias": [
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],
"network.10.weight": [
[
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],
[
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[
-0.589673,
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[
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],
"network.10.bias": [
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],
"network.12.weight": [
[
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-0.748135,
0.133376,
0.22302,
-0.766298
]
],
"network.12.bias": [
-0.54765
]
}
## Activation Signature
### 0
mean: [0.818146, 0.209278, 1.431813, -3.009720, 0.554142, -2.525859]
std: [3.569574, 2.078558, 1.478789, 1.885736, 2.130821, 1.776988]
pca: [[0.750450, 0.235135, 0.602415, -0.036640, 0.102768, 0.082027, 0.000000, 0.000000, 0.000000, 0.000000], [0.409800, -0.145170, -0.504244, 0.050003, 0.629947, -0.396729, 0.000000, 0.000000, 0.000000, 0.000000], [0.263055, -0.246473, -0.250091, 0.674812, -0.115048, 0.582151, 0.000000, 0.000000, 0.000000, 0.000000], [-0.067167, 0.668950, -0.317881, -0.259111, 0.302222, 0.537093, 0.000000, 0.000000, 0.000000, 0.000000], [0.427268, -0.179600, -0.411902, -0.548942, -0.554693, 0.080636, 0.000000, 0.000000, 0.000000, 0.000000], [0.112343, 0.618981, -0.222658, 0.415102, -0.424674, -0.449452, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[56.064385, 60.937215, 61.616708, 63.169165, 73.633159], [30.098466, 32.312216, 35.573724, 38.493800, 39.727839], [22.736012, 23.314721, 26.229175, 28.478159, 128.863214], [29.324923, 29.628736, 36.637931, 38.142182, 270.874756], [33.095854, 35.549640, 36.680655, 37.578975, 49.872801], [27.445459, 29.451714, 31.866766, 35.838390, 227.327318]]
### 2
mean: [-1.974091, 0.010913, -1.310926, 1.235408, 2.749077, 3.555877]
std: [1.956951, 0.997236, 0.850297, 1.641718, 3.004150, 3.326438]
pca: [[-0.333985, 0.740855, 0.440540, 0.195653, -0.308979, -0.108463, 0.000000, 0.000000, 0.000000, 0.000000], [-0.155451, -0.446120, 0.497621, 0.671456, 0.150112, 0.236216, 0.000000, 0.000000, 0.000000, 0.000000], [-0.158125, -0.021651, 0.548927, -0.548038, 0.597998, -0.123531, 0.000000, 0.000000, 0.000000, 0.000000], [0.314638, 0.184978, 0.176790, -0.223872, -0.095551, 0.881069, 0.000000, 0.000000, 0.000000, 0.000000], [0.578038, -0.239577, 0.474219, -0.145736, -0.495346, -0.342029, 0.000000, 0.000000, 0.000000, 0.000000], [0.637307, 0.400034, -0.028956, 0.373046, 0.519518, -0.154635, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.243736, 29.285956, 29.973114, 41.109350, 177.668213], [14.108283, 14.315251, 15.735457, 16.500117, 19.786234], [12.912593, 13.450620, 13.553262, 16.472430, 117.983317], [25.522152, 27.038729, 31.732291, 31.908193, 111.186753], [49.033390, 49.655813, 51.475015, 58.873965, 247.416930], [51.581188, 55.122842, 60.601888, 64.283477, 320.028900]]
### 4
mean: [-1.787528, -3.439071, 5.327313, -5.696261, -2.697767, 0.621749]
std: [1.938766, 3.025070, 5.830698, 5.824030, 2.195225, 1.109710]
pca: [[-0.206588, 0.546163, -0.163585, -0.464809, 0.256961, 0.591770, 0.000000, 0.000000, 0.000000, 0.000000], [-0.324501, -0.283092, -0.533498, -0.126944, 0.615945, -0.366653, 0.000000, 0.000000, 0.000000, 0.000000], [0.626057, -0.456849, -0.220268, 0.076754, 0.258743, 0.527242, 0.000000, 0.000000, 0.000000, 0.000000], [-0.625623, -0.243151, 0.039130, 0.571696, -0.009792, 0.470116, 0.000000, 0.000000, 0.000000, 0.000000], [-0.234561, -0.499074, -0.196003, -0.567516, -0.565633, 0.124396, 0.000000, 0.000000, 0.000000, 0.000000], [-0.116832, -0.323507, 0.774696, -0.336208, 0.409388, 0.030098, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.845615, 31.899441, 34.159148, 38.096558, 160.877512], [48.513918, 49.890023, 55.935739, 58.626474, 309.516410], [92.314704, 96.974802, 103.347815, 114.652854, 479.458242], [91.402781, 96.853899, 104.615856, 113.899109, 512.663524], [33.997962, 35.952204, 40.670905, 42.970628, 242.799036], [17.770629, 18.198025, 18.468942, 22.817161, 55.957409]]
### 6
mean: [-0.535721, -2.347756, 3.222431, 2.205915, -2.592468, -2.217460]
std: [0.055837, 0.595349, 3.782624, 1.868798, 2.191942, 1.940245]
pca: [[-0.010787, -0.013162, -0.068187, -0.046521, 0.996270, 0.018505, 0.000000, 0.000000, 0.000000, 0.000000], [-0.102691, 0.791564, 0.251387, -0.402527, 0.014641, -0.370735, 0.000000, 0.000000, 0.000000, 0.000000], [0.732640, 0.464407, -0.107113, 0.361439, 0.017592, 0.324260, 0.000000, 0.000000, 0.000000, 0.000000], [0.361794, -0.279417, 0.817960, -0.296161, 0.039018, 0.180936, 0.000000, 0.000000, 0.000000, 0.000000], [-0.424754, 0.179792, 0.498919, 0.729059, 0.065023, 0.050826, 0.000000, 0.000000, 0.000000, 0.000000], [-0.375854, 0.217211, -0.051986, -0.293140, -0.034226, 0.849558, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[0.884474, 0.932272, 0.945441, 1.137242, 48.214917], [8.706038, 9.827724, 11.398119, 12.579426, 211.298072], [59.118838, 63.386202, 65.066419, 75.857428, 290.018808], [30.346897, 30.836305, 34.168922, 36.478584, 198.532387], [35.091448, 36.261547, 39.491873, 43.001699, 233.322133], [31.261584, 32.056552, 35.191272, 37.979457, 199.571440]]
### 8
mean: [-2.010106, 3.159894, 3.788139, -4.509103, -0.368530, 2.859775]
std: [1.124001, 2.974053, 3.781471, 4.272824, 0.064532, 3.168514]
pca: [[0.154680, 0.816400, 0.117953, -0.086761, 0.280710, -0.457522, 0.000000, 0.000000, 0.000000, 0.000000], [-0.409654, 0.258136, -0.257917, 0.812736, -0.195326, -0.018335, 0.000000, 0.000000, 0.000000, 0.000000], [-0.520870, 0.319192, 0.254525, -0.201637, 0.276551, 0.667001, 0.000000, 0.000000, 0.000000, 0.000000], [0.588557, 0.106007, 0.557695, 0.417989, -0.126659, 0.374943, 0.000000, 0.000000, 0.000000, 0.000000], [0.008444, -0.338724, 0.074387, 0.340971, 0.866034, -0.115694, 0.000000, 0.000000, 0.000000, 0.000000], [-0.436442, -0.197488, 0.733639, 0.017311, -0.201274, -0.437585, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.051334, 18.563213, 20.345300, 22.101894, 180.909556], [46.775179, 49.182496, 52.007524, 59.858821, 284.390484], [59.473768, 62.534901, 66.133414, 76.104983, 340.932484], [67.184153, 70.657400, 75.088507, 85.727493, 405.819268], [0.982366, 1.017200, 1.090624, 1.482729, 33.167682], [49.815494, 52.394697, 55.774423, 63.502767, 257.379729]]
### 10
mean: [-1.193331, -1.040180, -8.725243, -1.304275, 1.405006, -8.556255]
std: [1.215139, 0.863323, 8.629979, 1.037732, 2.258194, 8.478332]
pca: [[0.097679, -0.032799, -0.061495, -0.294802, 0.924688, -0.208913, 0.000000, 0.000000, 0.000000, 0.000000], [0.069393, 0.566816, -0.079890, 0.741850, 0.177898, -0.292460, 0.000000, 0.000000, 0.000000, 0.000000], [0.693721, -0.049891, -0.576018, 0.076263, 0.006437, 0.422619, 0.000000, 0.000000, 0.000000, 0.000000], [0.083410, 0.782347, -0.073422, -0.584528, -0.180522, -0.036399, 0.000000, 0.000000, 0.000000, 0.000000], [-0.181525, 0.249176, 0.379310, 0.123369, 0.277355, 0.817887, 0.000000, 0.000000, 0.000000, 0.000000], [0.681532, -0.031609, 0.713283, -0.006513, -0.061229, -0.148161, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.100832, 20.080615, 21.287777, 24.427563, 107.399780], [13.597544, 14.303387, 15.024361, 17.431063, 93.616222], [135.662002, 142.623198, 151.165130, 173.502583, 785.271827], [16.349286, 17.199557, 18.042722, 20.965108, 117.384764], [35.487604, 37.305142, 39.592886, 45.370987, 126.450502], [133.279266, 140.118483, 148.504082, 170.457410, 770.062925]]
### 12
mean: [-0.177982]
std: [0.455465]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.252434, 7.497939, 8.366330, 8.974218, 16.018414]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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{"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.426328, 0.420371, -0.159165, 0.900319, -1.470104], [-0.195711, 0.270952, 0.622438, 0.070073, -0.984927], [-0.263639, 0.33806, 0.554083, 0.123924, -0.468501], [-0.162531, -0.654002, -0.268721, -0.279294, -0.1749], [-0.150634, 0.522919, 0.416454, -0.031433, -0.984634], [-0.467777, -0.412296, -0.107199, -0.07642, -0.391394]], "network.0.bias": [0.797602, -0.276633, 0.298528, -0.239754, 0.200584, -0.321918], "network.2.weight": [[0.111522, -1.088253, -0.516136, 0.534382, -0.085938, -0.302166], [-0.428411, -0.178746, -0.132365, -0.138947, 0.22908, -0.028062], [-0.144518, 0.072778, -0.573263, 0.416849, 0.041362, -0.044083], [0.39648, 0.353902, -0.049572, -0.081043, 0.529208, -0.54121], [0.383041, 0.967583, -0.014735, -0.187547, 1.093126, -0.062332], [0.794609, 0.308412, 0.367897, -0.411927, 0.974658, -0.13593]], "network.2.bias": [-0.285964, 0.894723, -0.286268, -0.337323, -0.060587, 0.156898], "network.4.weight": [[-0.237008, -0.00455, -0.035327, -0.372293, -0.534135, 0.067619], [0.124485, -0.239489, -0.020114, -0.514898, -0.138753, -0.569813], [-0.438394, -0.628994, 0.170552, 0.57177, 1.042913, 0.510557], [0.215418, 0.423253, -0.578724, -0.388578, -0.610093, -0.99774], [-0.226686, 0.142558, -0.19386, -0.63144, 0.03703, -0.385988], [0.210239, 0.967692, 0.231377, -0.233658, -0.078598, -0.065449]], "network.4.bias": [-0.051259, -0.240549, 0.12835, -0.120198, -0.644687, 0.975897], "network.6.weight": [[-0.270691, -0.15136, -0.007974, -0.035555, -0.037146, 0.01542], [0.310969, -0.231692, -0.170133, -0.097997, 0.367612, -0.679115], [-0.32431, -0.030882, 0.590518, -0.191425, 0.23982, -0.560017], [0.310091, -0.235682, 0.342391, 0.539214, 0.283578, 0.150967], [-0.250383, 0.028867, -0.388493, 0.212703, -0.403233, -0.079138], [0.233059, -0.335128, -0.349139, -0.098109, 0.1919, -0.110338]], "network.6.bias": [-0.50541, -0.843135, 0.523104, 0.220393, -0.43213, -0.237613], "network.8.weight": [[0.359998, 0.261558, -0.062548, -0.479253, 0.074211, 0.258834], [-0.278689, -0.071549, 0.694812, 0.231484, 0.353231, -0.20178], [-0.238316, 0.09114, 0.881624, 0.297902, -0.847094, -0.394693], [0.174601, 0.084233, -0.89428, -0.536478, 0.181739, -0.044611], [0.07756, 0.367551, -0.087182, 0.13812, 0.039102, -0.186204], [-0.384779, 0.298679, 0.636941, 0.449223, 0.274621, 0.309657]], "network.8.bias": [-0.743211, 0.319775, 0.175186, -0.327439, -0.380918, -0.266634], "network.10.weight": [[0.140892, -0.166223, -0.079279, 0.243322, 0.274115, -0.133211], [-0.296428, -0.477443, -0.064175, -0.550084, 0.008464, 0.25293], [-0.589673, -0.53293, -1.147179, 0.726898, 0.021724, -0.856551], [0.050321, -0.243477, -0.39118, -0.116376, 0.098669, 0.368854], [0.115782, 0.179469, 0.154935, -0.149862, 0.167728, 0.360262], [-0.240178, -0.714244, -0.988382, 0.201178, -0.2417, -0.827948]], "network.10.bias": [0.014369, -0.01397, -0.238438, -0.111174, -0.782472, -0.180116], "network.12.weight": [[-0.249963, -0.238466, -0.748135, 0.133376, 0.22302, -0.766298]], "network.12.bias": [-0.54765]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7023096978664398, "train_acc": 0.585, "val_loss": 0.7437832355499268, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6788254380226135, "train_acc": 0.585, "val_loss": 0.6989437341690063, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6950906813144684, "train_acc": 0.465, "val_loss": 0.6920667886734009, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6951203942298889, "train_acc": 0.435, "val_loss": 0.6870278716087341, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6756744384765625, "train_acc": 0.64, "val_loss": 0.602215051651001, "val_acc": 0.56}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6606714725494385, "train_acc": 0.55, "val_loss": 0.6342586278915405, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.6405939757823944, "train_acc": 0.78, "val_loss": 0.5902294516563416, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.604272186756134, "train_acc": 0.79, "val_loss": 0.48764288425445557, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.5336772948503494, "train_acc": 0.77, "val_loss": 0.46341490745544434, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.5034479945898056, "train_acc": 0.81, "val_loss": 0.4373517334461212, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.4682709574699402, "train_acc": 0.845, "val_loss": 0.43450653553009033, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.4422195553779602, "train_acc": 0.85, "val_loss": 0.4043373167514801, "val_acc": 0.88}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.7437832355499268, "final_val_loss": 0.6989437341690063, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.6920667886734009, "final_val_loss": 0.4043373167514801, "initial_val_acc": 0.56, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 8}, "improvement": 0.44, "first_improvement_epoch": 1}}
|
174
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.58, "improved_accuracy": 0.74, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3456, "learning_rate": 0.09182812704956636, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "vowel_consonant", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["vowel_consonant"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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],
[
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]
],
"network.0.bias": [
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"network.2.weight": [
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[
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[
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],
"network.2.bias": [
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"network.4.weight": [
[
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[
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[
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[
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[
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],
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[
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[
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"network.6.bias": [
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"network.8.weight": [
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"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [0.107520, 0.289924, -3.621828, 0.170555, 0.707511, -2.126719]
std: [0.884211, 1.263877, 2.435981, 1.515957, 1.786058, 1.524755]
pca: [[0.022174, -0.238714, 0.110454, 0.614273, -0.110298, 0.735409, 0.000000, 0.000000, 0.000000, 0.000000], [-0.116053, 0.333625, -0.534658, -0.487700, -0.079979, 0.587468, 0.000000, 0.000000, 0.000000, 0.000000], [0.832985, 0.306293, -0.249189, 0.206322, -0.310133, -0.107118, 0.000000, 0.000000, 0.000000, 0.000000], [-0.010279, 0.440011, 0.743557, -0.239572, -0.408678, 0.170276, 0.000000, 0.000000, 0.000000, 0.000000], [-0.203559, 0.728504, -0.016212, 0.432610, 0.488445, -0.043048, 0.000000, 0.000000, 0.000000, 0.000000], [0.500634, -0.116473, 0.294458, -0.312572, 0.692575, 0.267831, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.398282, 14.843154, 15.700572, 17.022839, 17.520036], [19.446774, 22.049136, 23.442522, 26.014119, 26.093192], [36.692137, 38.701059, 42.299876, 51.213318, 325.964534], [22.000250, 24.863702, 25.645391, 27.723821, 27.930674], [30.097546, 31.119985, 32.325739, 33.848000, 63.675964], [25.336448, 27.079702, 29.074906, 31.150208, 191.404738]]
### 2
mean: [-0.481903, 0.672102, 0.697166, 0.681288, -0.385153, 0.109498]
std: [0.529811, 1.225617, 0.927341, 1.156492, 0.675184, 0.752053]
pca: [[-0.237174, 0.235456, -0.176100, 0.597670, 0.469724, -0.528628, 0.000000, 0.000000, 0.000000, 0.000000], [0.577964, -0.362029, 0.096699, 0.014189, 0.700587, 0.185791, 0.000000, 0.000000, 0.000000, 0.000000], [0.444197, 0.129741, 0.661086, 0.439283, -0.352310, -0.178127, 0.000000, 0.000000, 0.000000, 0.000000], [0.561984, -0.025529, -0.518044, -0.209537, -0.254219, -0.553732, 0.000000, 0.000000, 0.000000, 0.000000], [0.099400, 0.735510, 0.264232, -0.520850, 0.304788, -0.123067, 0.000000, 0.000000, 0.000000, 0.000000], [0.294431, 0.505011, -0.429435, 0.366646, -0.083012, 0.576663, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.219767, 8.536688, 8.926314, 9.546760, 43.371227], [18.855267, 19.381421, 21.120904, 21.990235, 60.489216], [14.195378, 15.950637, 17.638753, 19.315936, 62.744908], [18.511796, 19.120398, 19.521518, 22.209094, 61.315942], [9.691641, 11.280685, 11.612578, 11.696254, 34.663752], [10.910330, 11.906134, 11.975046, 12.209721, 13.975396]]
### 4
mean: [0.738750, -0.427321, -0.827543, 0.684757, -0.829847, -0.711151]
std: [1.359686, 1.333189, 1.698953, 1.586865, 1.742468, 0.464891]
pca: [[-0.388809, -0.160233, 0.165860, 0.116933, 0.343075, 0.815028, 0.000000, 0.000000, 0.000000, 0.000000], [0.381274, -0.006870, 0.554054, 0.069632, -0.656573, 0.334170, 0.000000, 0.000000, 0.000000, 0.000000], [0.485836, 0.150056, 0.527328, -0.139314, 0.658273, -0.103147, 0.000000, 0.000000, 0.000000, 0.000000], [-0.451786, 0.627989, 0.356763, 0.474200, -0.029657, -0.220215, 0.000000, 0.000000, 0.000000, 0.000000], [0.498316, 0.122321, -0.410942, 0.719014, 0.116008, 0.193407, 0.000000, 0.000000, 0.000000, 0.000000], [0.122443, 0.736498, -0.302136, -0.469278, -0.059583, 0.357099, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.281481, 23.045580, 25.689045, 26.925353, 66.487522], [20.922753, 22.684355, 24.656253, 26.623516, 38.458863], [26.650271, 28.900396, 31.361413, 33.508675, 74.478857], [25.067440, 27.813584, 29.975535, 32.675865, 61.628145], [27.351090, 29.596528, 33.355691, 34.615514, 74.686208], [6.765359, 6.813837, 7.369796, 8.171424, 64.003584]]
### 6
mean: [0.277873, -0.009547, 0.335917, 0.307710, -0.418740, -0.144628]
std: [1.078480, 1.135520, 1.222932, 0.553992, 1.965123, 0.158460]
pca: [[-0.378889, 0.055300, 0.268326, 0.762178, -0.423956, -0.143988, 0.000000, 0.000000, 0.000000, 0.000000], [0.397762, -0.444570, 0.260125, 0.294833, 0.044051, 0.698292, 0.000000, 0.000000, 0.000000, 0.000000], [-0.429401, -0.104847, 0.750940, -0.237331, 0.428440, -0.028714, 0.000000, 0.000000, 0.000000, 0.000000], [-0.189580, 0.630224, -0.200617, 0.293631, 0.507188, 0.427985, 0.000000, 0.000000, 0.000000, 0.000000], [0.689829, 0.424708, 0.427441, 0.154944, 0.108223, -0.354026, 0.000000, 0.000000, 0.000000, 0.000000], [0.045163, -0.459072, -0.271058, 0.406946, 0.604821, -0.426998, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.473738, 18.440384, 19.193109, 21.539160, 25.008547], [17.930381, 18.702335, 18.703093, 18.788030, 22.077181], [19.641397, 21.249344, 22.289849, 24.805645, 30.232563], [8.343310, 9.412619, 9.512645, 9.916102, 27.693887], [30.837759, 34.289954, 37.311763, 37.686624, 39.919778], [2.646597, 2.670254, 2.738032, 3.043122, 13.016565]]
### 8
mean: [-0.421829]
std: [0.849025]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.849293, 14.304228, 14.817499, 15.145423, 37.964626]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
vowel_consonant
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.435714,
-0.225429,
-0.047713,
0.094193,
-0.307551
],
[
-0.602265,
0.597142,
0.151851,
-0.187382,
0.152368
],
[
-0.486984,
-0.379247,
-0.432846,
-0.382005,
-0.468268
],
[
-0.171557,
-0.195557,
-0.374954,
0.471087,
0.385261
],
[
-0.352935,
0.668134,
-0.480121,
0.31081,
0.030176
],
[
-0.017782,
-0.610772,
-0.213965,
-0.249947,
0.082896
]
],
"network.0.bias": [
0.253068,
-0.152007,
-0.023844,
0.038259,
0.228416,
-0.11092
],
"network.2.weight": [
[
-0.20455,
-0.190078,
-0.016324,
-0.180912,
-0.27465,
0.220018
],
[
0.193069,
0.403542,
0.909915,
0.254548,
0.676674,
0.253542
],
[
0.167293,
0.374354,
0.220858,
-0.177968,
0.58509,
0.486866
],
[
-0.077387,
0.559781,
0.443733,
0.067183,
0.567788,
0.112006
],
[
-0.131769,
0.346141,
0.145893,
-0.550967,
0.074466,
0.824944
],
[
-0.301166,
0.419961,
0.42134,
-0.360515,
0.2765,
0.39092
]
],
"network.2.bias": [
0.064009,
-0.373777,
0.014185,
-0.178364,
-0.238668,
-0.063857
],
"network.4.weight": [
[
-0.180183,
0.618799,
0.25416,
0.312748,
0.162404,
0.088064
],
[
-0.097978,
-0.432302,
-0.154204,
-0.59488,
-0.361947,
0.02715
],
[
0.358851,
-0.775961,
-0.041176,
-0.508154,
-0.062824,
-0.379172
],
[
-0.386795,
0.392407,
0.604707,
0.330534,
0.234982,
0.335304
],
[
-0.04755,
-0.957754,
-0.368486,
-0.111703,
-0.274497,
-0.283954
],
[
0.458828,
-0.476103,
0.116615,
-0.03077,
0.197976,
0.046622
]
],
"network.4.bias": [
-0.084764,
0.341554,
0.185975,
-0.282451,
0.182931,
-0.400669
],
"network.6.weight": [
[
0.218442,
-0.543719,
-0.077678,
0.466164,
-0.331821,
0.003243
],
[
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0.288604,
0.538547,
-0.273343,
0.678441,
-0.043996
],
[
0.0868,
-0.340799,
-0.005897,
0.677691,
-0.683118,
0.175672
],
[
0.257266,
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-0.38919,
0.065681,
-0.399344,
0.190651
],
[
-0.649162,
0.149412,
0.408771,
-0.673556,
0.559396,
-0.63588
],
[
-0.03006,
0.128819,
0.411483,
-0.031651,
0.160656,
0.533791
]
],
"network.6.bias": [
-0.14849,
0.439829,
-0.134945,
0.17771,
0.404169,
-0.063129
],
"network.8.weight": [
[
0.190429,
-0.745272,
0.22348,
0.138208,
-0.5693,
0.046269
]
],
"network.8.bias": [
-0.243527
]
}
## Activation Signature
### 0
mean: [0.107520, 0.289924, -3.621828, 0.170555, 0.707511, -2.126719]
std: [0.884211, 1.263877, 2.435981, 1.515957, 1.786058, 1.524755]
pca: [[0.022174, -0.238714, 0.110454, 0.614273, -0.110298, 0.735409, 0.000000, 0.000000, 0.000000, 0.000000], [-0.116053, 0.333625, -0.534658, -0.487700, -0.079979, 0.587468, 0.000000, 0.000000, 0.000000, 0.000000], [0.832985, 0.306293, -0.249189, 0.206322, -0.310133, -0.107118, 0.000000, 0.000000, 0.000000, 0.000000], [-0.010279, 0.440011, 0.743557, -0.239572, -0.408678, 0.170276, 0.000000, 0.000000, 0.000000, 0.000000], [-0.203559, 0.728504, -0.016212, 0.432610, 0.488445, -0.043048, 0.000000, 0.000000, 0.000000, 0.000000], [0.500634, -0.116473, 0.294458, -0.312572, 0.692575, 0.267831, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.398282, 14.843154, 15.700572, 17.022839, 17.520036], [19.446774, 22.049136, 23.442522, 26.014119, 26.093192], [36.692137, 38.701059, 42.299876, 51.213318, 325.964534], [22.000250, 24.863702, 25.645391, 27.723821, 27.930674], [30.097546, 31.119985, 32.325739, 33.848000, 63.675964], [25.336448, 27.079702, 29.074906, 31.150208, 191.404738]]
### 2
mean: [-0.481903, 0.672102, 0.697166, 0.681288, -0.385153, 0.109498]
std: [0.529811, 1.225617, 0.927341, 1.156492, 0.675184, 0.752053]
pca: [[-0.237174, 0.235456, -0.176100, 0.597670, 0.469724, -0.528628, 0.000000, 0.000000, 0.000000, 0.000000], [0.577964, -0.362029, 0.096699, 0.014189, 0.700587, 0.185791, 0.000000, 0.000000, 0.000000, 0.000000], [0.444197, 0.129741, 0.661086, 0.439283, -0.352310, -0.178127, 0.000000, 0.000000, 0.000000, 0.000000], [0.561984, -0.025529, -0.518044, -0.209537, -0.254219, -0.553732, 0.000000, 0.000000, 0.000000, 0.000000], [0.099400, 0.735510, 0.264232, -0.520850, 0.304788, -0.123067, 0.000000, 0.000000, 0.000000, 0.000000], [0.294431, 0.505011, -0.429435, 0.366646, -0.083012, 0.576663, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.219767, 8.536688, 8.926314, 9.546760, 43.371227], [18.855267, 19.381421, 21.120904, 21.990235, 60.489216], [14.195378, 15.950637, 17.638753, 19.315936, 62.744908], [18.511796, 19.120398, 19.521518, 22.209094, 61.315942], [9.691641, 11.280685, 11.612578, 11.696254, 34.663752], [10.910330, 11.906134, 11.975046, 12.209721, 13.975396]]
### 4
mean: [0.738750, -0.427321, -0.827543, 0.684757, -0.829847, -0.711151]
std: [1.359686, 1.333189, 1.698953, 1.586865, 1.742468, 0.464891]
pca: [[-0.388809, -0.160233, 0.165860, 0.116933, 0.343075, 0.815028, 0.000000, 0.000000, 0.000000, 0.000000], [0.381274, -0.006870, 0.554054, 0.069632, -0.656573, 0.334170, 0.000000, 0.000000, 0.000000, 0.000000], [0.485836, 0.150056, 0.527328, -0.139314, 0.658273, -0.103147, 0.000000, 0.000000, 0.000000, 0.000000], [-0.451786, 0.627989, 0.356763, 0.474200, -0.029657, -0.220215, 0.000000, 0.000000, 0.000000, 0.000000], [0.498316, 0.122321, -0.410942, 0.719014, 0.116008, 0.193407, 0.000000, 0.000000, 0.000000, 0.000000], [0.122443, 0.736498, -0.302136, -0.469278, -0.059583, 0.357099, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.281481, 23.045580, 25.689045, 26.925353, 66.487522], [20.922753, 22.684355, 24.656253, 26.623516, 38.458863], [26.650271, 28.900396, 31.361413, 33.508675, 74.478857], [25.067440, 27.813584, 29.975535, 32.675865, 61.628145], [27.351090, 29.596528, 33.355691, 34.615514, 74.686208], [6.765359, 6.813837, 7.369796, 8.171424, 64.003584]]
### 6
mean: [0.277873, -0.009547, 0.335917, 0.307710, -0.418740, -0.144628]
std: [1.078480, 1.135520, 1.222932, 0.553992, 1.965123, 0.158460]
pca: [[-0.378889, 0.055300, 0.268326, 0.762178, -0.423956, -0.143988, 0.000000, 0.000000, 0.000000, 0.000000], [0.397762, -0.444570, 0.260125, 0.294833, 0.044051, 0.698292, 0.000000, 0.000000, 0.000000, 0.000000], [-0.429401, -0.104847, 0.750940, -0.237331, 0.428440, -0.028714, 0.000000, 0.000000, 0.000000, 0.000000], [-0.189580, 0.630224, -0.200617, 0.293631, 0.507188, 0.427985, 0.000000, 0.000000, 0.000000, 0.000000], [0.689829, 0.424708, 0.427441, 0.154944, 0.108223, -0.354026, 0.000000, 0.000000, 0.000000, 0.000000], [0.045163, -0.459072, -0.271058, 0.406946, 0.604821, -0.426998, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.473738, 18.440384, 19.193109, 21.539160, 25.008547], [17.930381, 18.702335, 18.703093, 18.788030, 22.077181], [19.641397, 21.249344, 22.289849, 24.805645, 30.232563], [8.343310, 9.412619, 9.512645, 9.916102, 27.693887], [30.837759, 34.289954, 37.311763, 37.686624, 39.919778], [2.646597, 2.670254, 2.738032, 3.043122, 13.016565]]
### 8
mean: [-0.421829]
std: [0.849025]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.849293, 14.304228, 14.817499, 15.145423, 37.964626]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
vowel_consonant
|
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"precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.435714, -0.225429, -0.047713, 0.094193, -0.307551], [-0.602265, 0.597142, 0.151851, -0.187382, 0.152368], [-0.486984, -0.379247, -0.432846, -0.382005, -0.468268], [-0.171557, -0.195557, -0.374954, 0.471087, 0.385261], [-0.352935, 0.668134, -0.480121, 0.31081, 0.030176], [-0.017782, -0.610772, -0.213965, -0.249947, 0.082896]], "network.0.bias": [0.253068, -0.152007, -0.023844, 0.038259, 0.228416, -0.11092], "network.2.weight": [[-0.20455, -0.190078, -0.016324, -0.180912, -0.27465, 0.220018], [0.193069, 0.403542, 0.909915, 0.254548, 0.676674, 0.253542], [0.167293, 0.374354, 0.220858, -0.177968, 0.58509, 0.486866], [-0.077387, 0.559781, 0.443733, 0.067183, 0.567788, 0.112006], [-0.131769, 0.346141, 0.145893, -0.550967, 0.074466, 0.824944], [-0.301166, 0.419961, 0.42134, -0.360515, 0.2765, 0.39092]], "network.2.bias": [0.064009, -0.373777, 0.014185, -0.178364, -0.238668, -0.063857], "network.4.weight": [[-0.180183, 0.618799, 0.25416, 0.312748, 0.162404, 0.088064], [-0.097978, -0.432302, -0.154204, -0.59488, -0.361947, 0.02715], [0.358851, -0.775961, -0.041176, -0.508154, -0.062824, -0.379172], [-0.386795, 0.392407, 0.604707, 0.330534, 0.234982, 0.335304], [-0.04755, -0.957754, -0.368486, -0.111703, -0.274497, -0.283954], [0.458828, -0.476103, 0.116615, -0.03077, 0.197976, 0.046622]], "network.4.bias": [-0.084764, 0.341554, 0.185975, -0.282451, 0.182931, -0.400669], "network.6.weight": [[0.218442, -0.543719, -0.077678, 0.466164, -0.331821, 0.003243], [-0.461969, 0.288604, 0.538547, -0.273343, 0.678441, -0.043996], [0.0868, -0.340799, -0.005897, 0.677691, -0.683118, 0.175672], [0.257266, -0.439964, -0.38919, 0.065681, -0.399344, 0.190651], [-0.649162, 0.149412, 0.408771, -0.673556, 0.559396, -0.63588], [-0.03006, 0.128819, 0.411483, -0.031651, 0.160656, 0.533791]], "network.6.bias": [-0.14849, 0.439829, -0.134945, 0.17771, 0.404169, -0.063129], "network.8.weight": [[0.190429, -0.745272, 0.22348, 0.138208, -0.5693, 0.046269]], "network.8.bias": [-0.243527]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.691582441329956, "train_acc": 0.485, "val_loss": 0.6480283141136169, "val_acc": 0.66}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6458290219306946, "train_acc": 0.625, "val_loss": 0.6097726225852966, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6305194795131683, "train_acc": 0.63, "val_loss": 0.5227603316307068, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6287806928157806, "train_acc": 0.695, "val_loss": 0.5508533120155334, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5383234322071075, "train_acc": 0.775, "val_loss": 0.4860842823982239, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5261920690536499, "train_acc": 0.745, "val_loss": 0.5078045129776001, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4758283942937851, "train_acc": 0.745, "val_loss": 0.5416896343231201, "val_acc": 0.7}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.47714853286743164, "train_acc": 0.76, "val_loss": 0.5567224025726318, "val_acc": 0.74}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.6480283141136169, "final_val_loss": 0.6097726225852966, "initial_val_acc": 0.66, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.5227603316307068, "final_val_loss": 0.5567224025726318, "initial_val_acc": 0.72, "final_val_acc": 0.74, "best_val_acc": 0.74, "best_epoch": 3}, "improvement": 0.16000000000000003, "first_improvement_epoch": 1}}
|
175
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.44, "improved_accuracy": 0.66, "improvement": 0.22000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1382, "learning_rate": 0.05187387414183355, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "vowel_consonant", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["vowel_consonant"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.10.weight": [
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[
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],
[
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],
[
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[
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],
"network.10.bias": [
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"network.12.weight": [
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],
"network.12.bias": [
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}
## Activation Signature
### 0
mean: [0.327027, 1.315982, 0.255139, 2.605464, 1.896543]
std: [1.331370, 1.001385, 1.935584, 2.108797, 1.665758]
pca: [[-0.202081, 0.456729, 0.670593, -0.065080, 0.544639, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.314206, 0.112035, 0.052782, 0.938650, 0.069803, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.561600, 0.445170, -0.641407, 0.154084, 0.226462, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.445869, 0.760098, -0.060944, -0.205205, -0.421459, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.588425, -0.054047, -0.363871, -0.221018, 0.685262, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.368415, 22.310631, 25.112191, 25.141134, 29.432410], [15.758387, 17.100655, 18.478988, 20.785419, 118.438369], [27.060796, 27.270794, 28.882763, 35.079454, 43.521036], [36.072638, 37.905455, 38.215401, 38.304090, 234.491750], [23.589980, 23.848684, 24.252554, 31.559298, 170.688829]]
### 2
mean: [0.371516, 2.502063, 2.419210, 0.052681, 0.669912]
std: [0.672714, 1.996082, 2.041056, 0.716943, 1.753366]
pca: [[0.137162, 0.177177, 0.805769, 0.540784, -0.089911, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.622351, 0.414029, -0.140363, -0.187697, -0.621552, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.679575, 0.018320, -0.197683, 0.227350, 0.668638, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.200794, 0.135453, -0.540256, 0.774506, -0.222706, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.302863, 0.882329, -0.008896, -0.144138, 0.330022, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.223709, 10.307654, 10.944533, 13.261138, 33.436473], [31.105896, 31.670314, 35.942147, 39.097557, 225.185685], [30.975175, 32.392408, 32.693795, 37.761907, 217.728950], [9.988004, 12.026547, 12.175188, 12.245716, 13.365978], [25.094288, 25.127311, 25.895202, 39.816179, 60.292064]]
### 4
mean: [-2.915051, -1.445605, -1.265977, 0.881465, -0.346678]
std: [1.780614, 1.656626, 2.327164, 0.894751, 0.210434]
pca: [[0.492129, 0.739903, -0.104133, -0.060933, 0.442488, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.485270, -0.241446, 0.836781, 0.039988, 0.066451, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.677203, -0.493750, -0.536280, 0.091177, -0.041205, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.246726, -0.375386, -0.035774, -0.007288, 0.892681, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.053327, 0.097693, 0.008890, 0.993137, 0.034806, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.080532, 28.491350, 32.747844, 34.182356, 262.354588], [23.132940, 23.634009, 25.506758, 33.436803, 130.104422], [32.051458, 32.445420, 37.709131, 44.439571, 113.937912], [14.223511, 14.235027, 16.801795, 17.005514, 79.331850], [3.021299, 3.304862, 3.406002, 3.489422, 31.201053]]
### 6
mean: [0.271695, -0.458781, -0.361195, 0.060786, 0.073924]
std: [0.579126, 0.896287, 0.535066, 0.843708, 0.540643]
pca: [[-0.390660, 0.172740, 0.243272, 0.738098, -0.462143, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.611031, -0.116336, 0.742577, 0.198964, 0.148660, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.250785, 0.725237, -0.277959, 0.344892, 0.463601, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.559803, -0.377268, -0.554480, 0.367789, -0.318705, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.312656, -0.536960, -0.068467, 0.401754, 0.669198, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.331167, 9.287484, 10.255694, 11.055395, 24.452572], [13.522066, 14.598784, 15.765095, 16.506048, 41.290277], [8.310063, 8.424908, 9.533988, 10.145571, 32.507552], [12.267513, 12.347895, 13.422814, 15.405609, 16.253790], [7.670074, 7.880673, 8.290300, 8.517959, 10.441244]]
### 8
mean: [0.333143, 0.347227, -0.026285, 0.177308, 0.092546]
std: [0.616828, 0.857823, 1.423315, 0.663391, 1.193528]
pca: [[0.271527, 0.558879, 0.438776, 0.647907, 0.040239, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.383557, -0.362672, -0.397291, 0.380978, 0.646814, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.637115, -0.525167, 0.358050, -0.029463, -0.434991, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.296242, -0.300322, 0.721249, -0.138262, 0.531725, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.534306, 0.436038, 0.035166, -0.644273, 0.328730, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.114986, 10.501911, 10.595154, 11.352780, 29.982891], [12.787714, 14.558973, 14.964559, 16.434132, 31.250443], [21.092930, 21.167916, 24.384378, 24.516084, 27.089557], [9.484437, 11.007561, 11.820800, 12.651320, 15.957693], [17.054244, 17.116712, 20.341115, 20.661958, 22.585264]]
### 10
mean: [-0.419584, -0.537148, -0.733941, -0.299323, -0.392166]
std: [0.352366, 0.171943, 0.188523, 0.538181, 0.229825]
pca: [[0.495815, -0.129961, 0.364343, -0.498226, 0.596911, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.194750, 0.561802, 0.714571, 0.195453, -0.312469, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.197802, 0.765774, -0.318683, -0.003778, 0.522391, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.758075, 0.217882, -0.505058, -0.080358, -0.341041, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.320058, -0.183323, 0.000083, 0.840891, 0.396054, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.540560, 5.644107, 6.296670, 6.348530, 37.762545], [2.558471, 2.675910, 2.935412, 3.241397, 48.343315], [2.844548, 3.051574, 3.222444, 3.440146, 66.054696], [7.735952, 9.093674, 9.156832, 9.800737, 26.939090], [3.352816, 3.544197, 4.025955, 4.182478, 35.294962]]
### 12
mean: [-0.005080]
std: [0.076545]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.099351, 1.151605, 1.219354, 1.390142, 1.438352]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
vowel_consonant
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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0.600762,
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0.101245,
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],
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[
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],
[
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[
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],
"network.0.bias": [
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"network.2.weight": [
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[
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],
[
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[
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]
],
"network.2.bias": [
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"network.4.weight": [
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],
[
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[
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],
[
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]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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],
[
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0.520666,
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0.001303
],
[
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[
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[
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]
],
"network.6.bias": [
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],
"network.8.weight": [
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],
[
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],
[
0.071714,
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0.06607
],
[
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0.528537,
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],
[
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]
],
"network.8.bias": [
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0.246383,
0.095144
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"network.10.weight": [
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[
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],
[
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0.026855
],
[
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],
[
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]
],
"network.10.bias": [
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],
"network.12.weight": [
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]
],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [0.327027, 1.315982, 0.255139, 2.605464, 1.896543]
std: [1.331370, 1.001385, 1.935584, 2.108797, 1.665758]
pca: [[-0.202081, 0.456729, 0.670593, -0.065080, 0.544639, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.314206, 0.112035, 0.052782, 0.938650, 0.069803, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.561600, 0.445170, -0.641407, 0.154084, 0.226462, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.445869, 0.760098, -0.060944, -0.205205, -0.421459, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.588425, -0.054047, -0.363871, -0.221018, 0.685262, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.368415, 22.310631, 25.112191, 25.141134, 29.432410], [15.758387, 17.100655, 18.478988, 20.785419, 118.438369], [27.060796, 27.270794, 28.882763, 35.079454, 43.521036], [36.072638, 37.905455, 38.215401, 38.304090, 234.491750], [23.589980, 23.848684, 24.252554, 31.559298, 170.688829]]
### 2
mean: [0.371516, 2.502063, 2.419210, 0.052681, 0.669912]
std: [0.672714, 1.996082, 2.041056, 0.716943, 1.753366]
pca: [[0.137162, 0.177177, 0.805769, 0.540784, -0.089911, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.622351, 0.414029, -0.140363, -0.187697, -0.621552, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.679575, 0.018320, -0.197683, 0.227350, 0.668638, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.200794, 0.135453, -0.540256, 0.774506, -0.222706, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.302863, 0.882329, -0.008896, -0.144138, 0.330022, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.223709, 10.307654, 10.944533, 13.261138, 33.436473], [31.105896, 31.670314, 35.942147, 39.097557, 225.185685], [30.975175, 32.392408, 32.693795, 37.761907, 217.728950], [9.988004, 12.026547, 12.175188, 12.245716, 13.365978], [25.094288, 25.127311, 25.895202, 39.816179, 60.292064]]
### 4
mean: [-2.915051, -1.445605, -1.265977, 0.881465, -0.346678]
std: [1.780614, 1.656626, 2.327164, 0.894751, 0.210434]
pca: [[0.492129, 0.739903, -0.104133, -0.060933, 0.442488, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.485270, -0.241446, 0.836781, 0.039988, 0.066451, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.677203, -0.493750, -0.536280, 0.091177, -0.041205, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.246726, -0.375386, -0.035774, -0.007288, 0.892681, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.053327, 0.097693, 0.008890, 0.993137, 0.034806, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.080532, 28.491350, 32.747844, 34.182356, 262.354588], [23.132940, 23.634009, 25.506758, 33.436803, 130.104422], [32.051458, 32.445420, 37.709131, 44.439571, 113.937912], [14.223511, 14.235027, 16.801795, 17.005514, 79.331850], [3.021299, 3.304862, 3.406002, 3.489422, 31.201053]]
### 6
mean: [0.271695, -0.458781, -0.361195, 0.060786, 0.073924]
std: [0.579126, 0.896287, 0.535066, 0.843708, 0.540643]
pca: [[-0.390660, 0.172740, 0.243272, 0.738098, -0.462143, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.611031, -0.116336, 0.742577, 0.198964, 0.148660, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.250785, 0.725237, -0.277959, 0.344892, 0.463601, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.559803, -0.377268, -0.554480, 0.367789, -0.318705, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.312656, -0.536960, -0.068467, 0.401754, 0.669198, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.331167, 9.287484, 10.255694, 11.055395, 24.452572], [13.522066, 14.598784, 15.765095, 16.506048, 41.290277], [8.310063, 8.424908, 9.533988, 10.145571, 32.507552], [12.267513, 12.347895, 13.422814, 15.405609, 16.253790], [7.670074, 7.880673, 8.290300, 8.517959, 10.441244]]
### 8
mean: [0.333143, 0.347227, -0.026285, 0.177308, 0.092546]
std: [0.616828, 0.857823, 1.423315, 0.663391, 1.193528]
pca: [[0.271527, 0.558879, 0.438776, 0.647907, 0.040239, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.383557, -0.362672, -0.397291, 0.380978, 0.646814, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.637115, -0.525167, 0.358050, -0.029463, -0.434991, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.296242, -0.300322, 0.721249, -0.138262, 0.531725, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.534306, 0.436038, 0.035166, -0.644273, 0.328730, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.114986, 10.501911, 10.595154, 11.352780, 29.982891], [12.787714, 14.558973, 14.964559, 16.434132, 31.250443], [21.092930, 21.167916, 24.384378, 24.516084, 27.089557], [9.484437, 11.007561, 11.820800, 12.651320, 15.957693], [17.054244, 17.116712, 20.341115, 20.661958, 22.585264]]
### 10
mean: [-0.419584, -0.537148, -0.733941, -0.299323, -0.392166]
std: [0.352366, 0.171943, 0.188523, 0.538181, 0.229825]
pca: [[0.495815, -0.129961, 0.364343, -0.498226, 0.596911, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.194750, 0.561802, 0.714571, 0.195453, -0.312469, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.197802, 0.765774, -0.318683, -0.003778, 0.522391, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.758075, 0.217882, -0.505058, -0.080358, -0.341041, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.320058, -0.183323, 0.000083, 0.840891, 0.396054, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.540560, 5.644107, 6.296670, 6.348530, 37.762545], [2.558471, 2.675910, 2.935412, 3.241397, 48.343315], [2.844548, 3.051574, 3.222444, 3.440146, 66.054696], [7.735952, 9.093674, 9.156832, 9.800737, 26.939090], [3.352816, 3.544197, 4.025955, 4.182478, 35.294962]]
### 12
mean: [-0.005080]
std: [0.076545]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.099351, 1.151605, 1.219354, 1.390142, 1.438352]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
vowel_consonant
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6831883788108826, "train_acc": 0.575, "val_loss": 0.7125657796859741, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6836752593517303, "train_acc": 0.575, "val_loss": 0.7050811648368835, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6811397075653076, "train_acc": 0.575, "val_loss": 0.7121829390525818, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6800110638141632, "train_acc": 0.575, "val_loss": 0.7060554027557373, "val_acc": 0.44}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6725014448165894, "train_acc": 0.575, "val_loss": 0.6744521260261536, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.7701367139816284, "train_acc": 0.515, "val_loss": 0.6358968615531921, "val_acc": 0.44}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6649316847324371, "train_acc": 0.515, "val_loss": 0.6693464517593384, "val_acc": 0.44}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6875059902667999, "train_acc": 0.5, "val_loss": 0.6786594986915588, "val_acc": 0.66}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.6920697391033173, "train_acc": 0.52, "val_loss": 0.682046115398407, "val_acc": 0.64}], "summary": {"total_epochs": 9, "degraded_epochs": 5, "improved_epochs": 4, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.7125657796859741, "final_val_loss": 0.6744521260261536, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.6358968615531921, "final_val_loss": 0.682046115398407, "initial_val_acc": 0.44, "final_val_acc": 0.64, "best_val_acc": 0.66, "best_epoch": 7}, "improvement": 0.22000000000000003, "first_improvement_epoch": 4}}
|
176
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.5, "improved_accuracy": 0.92, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1114, "learning_rate": 0.04803699167269308, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [1.488002, 1.482085, 0.260141, -0.542270, -2.221395]
std: [2.034147, 1.663875, 1.104336, 1.761326, 1.458741]
pca: [[0.664253, -0.086166, 0.368026, -0.023852, 0.644462, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.544530, -0.107557, -0.045811, -0.602414, -0.571767, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.312318, -0.199353, 0.272434, 0.749355, -0.476406, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.217419, 0.965713, -0.001601, 0.109655, -0.090006, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.342696, 0.093082, 0.887826, -0.250943, -0.150623, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.338006, 33.228840, 33.394868, 33.858183, 133.920182], [26.414473, 26.770169, 27.024826, 29.607410, 133.387648], [14.885924, 17.408437, 18.785720, 23.412661, 24.790599], [27.414241, 27.474572, 28.555784, 31.585524, 48.804259], [22.266218, 23.053542, 25.792858, 30.688688, 199.925542]]
### 2
mean: [2.885916, 1.117137, -0.801949, 2.083137, 0.039697]
std: [3.418254, 1.354832, 0.772571, 2.468886, 0.545658]
pca: [[0.763414, -0.043060, 0.297159, 0.216457, -0.529327, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.286886, 0.670526, 0.380761, -0.011368, 0.568317, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.155450, -0.427853, 0.768338, -0.445964, 0.059580, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.546949, -0.484371, -0.350639, -0.259901, 0.525106, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.107600, -0.361756, 0.231143, 0.828604, 0.342846, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[54.096336, 59.245971, 59.349715, 59.670356, 259.732469], [22.680418, 22.813269, 23.120372, 23.985384, 100.542353], [11.689499, 12.488866, 12.775039, 13.766147, 72.175365], [38.169435, 41.987568, 42.206882, 42.825094, 187.482326], [8.097626, 8.547383, 9.337032, 9.775244, 10.587488]]
### 4
mean: [-0.650437, -1.486348, -0.269247, -1.681745, 4.115722]
std: [0.517000, 1.419980, 0.924355, 1.655891, 5.116344]
pca: [[-0.088687, -0.281570, 0.904211, 0.234669, -0.200464, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249721, 0.564201, 0.115191, 0.581191, 0.517943, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.160083, 0.697987, 0.295811, -0.579225, -0.253341, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.292474, -0.302574, 0.171787, -0.514173, 0.727340, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.904769, 0.153810, 0.228295, -0.085280, 0.313600, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.497945, 8.514819, 8.943686, 9.126688, 58.539337], [22.132356, 24.075515, 24.207318, 24.768692, 133.771303], [14.417085, 15.146447, 15.510391, 15.520761, 24.232259], [26.392993, 28.830597, 28.984847, 29.080087, 151.357024], [80.718668, 88.636147, 88.989345, 90.346669, 370.414943]]
### 6
mean: [2.845977, -0.375465, -0.979952, 3.309497, -0.976433]
std: [3.789434, 0.395824, 0.708477, 4.028688, 2.022361]
pca: [[0.637484, 0.287518, 0.641178, -0.186612, 0.254978, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.065901, 0.881637, -0.373692, 0.162149, 0.228989, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.119181, -0.100312, 0.326360, 0.898694, 0.248136, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.677733, -0.301555, -0.585396, 0.196591, 0.261544, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.340213, -0.197617, -0.006674, -0.304278, 0.867510, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[60.040317, 65.058632, 65.883830, 66.788135, 256.137935], [6.462572, 6.696242, 7.310119, 7.694396, 33.791870], [11.251935, 12.114699, 12.324012, 12.465631, 88.195682], [63.479885, 69.796635, 69.957873, 71.275062, 297.854703], [32.067990, 34.674547, 35.167188, 35.623760, 87.878980]]
### 8
mean: [-1.836812, -0.543229, 4.185572, -0.318422, 3.766825]
std: [2.189228, 0.287230, 5.681569, 0.511416, 5.062343]
pca: [[-0.275537, 0.631649, 0.685888, 0.228452, 0.049659, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.035664, -0.346798, 0.335532, -0.272314, 0.831698, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.715634, 0.407784, -0.227225, 0.330753, 0.400688, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.063837, -0.499870, 0.150981, 0.850423, 0.006363, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.637652, -0.254151, 0.585277, -0.202578, -0.381078, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.317908, 37.985907, 38.411703, 39.127301, 165.313062], [4.355158, 4.556080, 4.653085, 4.914778, 48.890651], [90.889374, 96.090867, 98.402468, 99.279491, 376.701487], [7.876777, 8.313108, 8.372774, 8.764503, 28.657937], [80.800658, 86.445779, 87.646280, 89.209369, 339.014186]]
### 10
mean: [0.031800, -0.970691, 6.402366, 2.392011, -0.322184]
std: [0.351052, 1.131992, 8.012371, 3.211180, 1.195942]
pca: [[-0.039863, 0.572052, -0.451357, 0.666507, -0.152358, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.128706, -0.430745, 0.039239, 0.549338, 0.703265, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.911063, -0.303703, -0.189594, 0.156777, -0.131165, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.365128, 0.569119, 0.652536, 0.052524, 0.337968, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.135984, -0.266613, 0.577051, 0.476087, -0.592266, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.141171, 5.671557, 5.872792, 6.068989, 6.087370], [17.990087, 19.685419, 19.751853, 20.218640, 87.362181], [127.767360, 138.642276, 139.213171, 142.286965, 576.212855], [51.127450, 55.805172, 55.819951, 57.195965, 215.280967], [19.022641, 20.791140, 20.803007, 21.315363, 28.996581]]
### 12
mean: [-3.674194]
std: [5.201450]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[83.775421, 88.636532, 90.258178, 91.978829, 330.677467]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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],
[
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## Activation Signature
### 0
mean: [1.488002, 1.482085, 0.260141, -0.542270, -2.221395]
std: [2.034147, 1.663875, 1.104336, 1.761326, 1.458741]
pca: [[0.664253, -0.086166, 0.368026, -0.023852, 0.644462, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.544530, -0.107557, -0.045811, -0.602414, -0.571767, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.312318, -0.199353, 0.272434, 0.749355, -0.476406, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.217419, 0.965713, -0.001601, 0.109655, -0.090006, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.342696, 0.093082, 0.887826, -0.250943, -0.150623, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.338006, 33.228840, 33.394868, 33.858183, 133.920182], [26.414473, 26.770169, 27.024826, 29.607410, 133.387648], [14.885924, 17.408437, 18.785720, 23.412661, 24.790599], [27.414241, 27.474572, 28.555784, 31.585524, 48.804259], [22.266218, 23.053542, 25.792858, 30.688688, 199.925542]]
### 2
mean: [2.885916, 1.117137, -0.801949, 2.083137, 0.039697]
std: [3.418254, 1.354832, 0.772571, 2.468886, 0.545658]
pca: [[0.763414, -0.043060, 0.297159, 0.216457, -0.529327, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.286886, 0.670526, 0.380761, -0.011368, 0.568317, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.155450, -0.427853, 0.768338, -0.445964, 0.059580, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.546949, -0.484371, -0.350639, -0.259901, 0.525106, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.107600, -0.361756, 0.231143, 0.828604, 0.342846, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[54.096336, 59.245971, 59.349715, 59.670356, 259.732469], [22.680418, 22.813269, 23.120372, 23.985384, 100.542353], [11.689499, 12.488866, 12.775039, 13.766147, 72.175365], [38.169435, 41.987568, 42.206882, 42.825094, 187.482326], [8.097626, 8.547383, 9.337032, 9.775244, 10.587488]]
### 4
mean: [-0.650437, -1.486348, -0.269247, -1.681745, 4.115722]
std: [0.517000, 1.419980, 0.924355, 1.655891, 5.116344]
pca: [[-0.088687, -0.281570, 0.904211, 0.234669, -0.200464, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249721, 0.564201, 0.115191, 0.581191, 0.517943, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.160083, 0.697987, 0.295811, -0.579225, -0.253341, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.292474, -0.302574, 0.171787, -0.514173, 0.727340, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.904769, 0.153810, 0.228295, -0.085280, 0.313600, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.497945, 8.514819, 8.943686, 9.126688, 58.539337], [22.132356, 24.075515, 24.207318, 24.768692, 133.771303], [14.417085, 15.146447, 15.510391, 15.520761, 24.232259], [26.392993, 28.830597, 28.984847, 29.080087, 151.357024], [80.718668, 88.636147, 88.989345, 90.346669, 370.414943]]
### 6
mean: [2.845977, -0.375465, -0.979952, 3.309497, -0.976433]
std: [3.789434, 0.395824, 0.708477, 4.028688, 2.022361]
pca: [[0.637484, 0.287518, 0.641178, -0.186612, 0.254978, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.065901, 0.881637, -0.373692, 0.162149, 0.228989, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.119181, -0.100312, 0.326360, 0.898694, 0.248136, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.677733, -0.301555, -0.585396, 0.196591, 0.261544, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.340213, -0.197617, -0.006674, -0.304278, 0.867510, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[60.040317, 65.058632, 65.883830, 66.788135, 256.137935], [6.462572, 6.696242, 7.310119, 7.694396, 33.791870], [11.251935, 12.114699, 12.324012, 12.465631, 88.195682], [63.479885, 69.796635, 69.957873, 71.275062, 297.854703], [32.067990, 34.674547, 35.167188, 35.623760, 87.878980]]
### 8
mean: [-1.836812, -0.543229, 4.185572, -0.318422, 3.766825]
std: [2.189228, 0.287230, 5.681569, 0.511416, 5.062343]
pca: [[-0.275537, 0.631649, 0.685888, 0.228452, 0.049659, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.035664, -0.346798, 0.335532, -0.272314, 0.831698, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.715634, 0.407784, -0.227225, 0.330753, 0.400688, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.063837, -0.499870, 0.150981, 0.850423, 0.006363, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.637652, -0.254151, 0.585277, -0.202578, -0.381078, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.317908, 37.985907, 38.411703, 39.127301, 165.313062], [4.355158, 4.556080, 4.653085, 4.914778, 48.890651], [90.889374, 96.090867, 98.402468, 99.279491, 376.701487], [7.876777, 8.313108, 8.372774, 8.764503, 28.657937], [80.800658, 86.445779, 87.646280, 89.209369, 339.014186]]
### 10
mean: [0.031800, -0.970691, 6.402366, 2.392011, -0.322184]
std: [0.351052, 1.131992, 8.012371, 3.211180, 1.195942]
pca: [[-0.039863, 0.572052, -0.451357, 0.666507, -0.152358, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.128706, -0.430745, 0.039239, 0.549338, 0.703265, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.911063, -0.303703, -0.189594, 0.156777, -0.131165, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.365128, 0.569119, 0.652536, 0.052524, 0.337968, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.135984, -0.266613, 0.577051, 0.476087, -0.592266, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.141171, 5.671557, 5.872792, 6.068989, 6.087370], [17.990087, 19.685419, 19.751853, 20.218640, 87.362181], [127.767360, 138.642276, 139.213171, 142.286965, 576.212855], [51.127450, 55.805172, 55.819951, 57.195965, 215.280967], [19.022641, 20.791140, 20.803007, 21.315363, 28.996581]]
### 12
mean: [-3.674194]
std: [5.201450]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[83.775421, 88.636532, 90.258178, 91.978829, 330.677467]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
mountain_pattern
|
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[7.8767772287395506, 8.313108193758982, 8.372773602895629, 8.764503213417251, 28.657936587929726]}, "4": {"mean": 3.766824722290039, "std": 5.062342643737793, "pca": [0.6376515626907349, -0.2541511356830597, 0.5852770209312439, -0.2025783509016037, -0.3810780942440033, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [80.80065842257541, 86.44577907416296, 87.64627993178117, 89.20936932126119, 339.01418574154377]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": 0.03179997578263283, "std": 0.3510524332523346, "pca": [-0.03986266255378723, 0.5720521211624146, -0.4513566195964813, 0.6665069460868835, -0.152358278632164, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [5.1411706647744015, 5.671556510694, 5.872791888458855, 6.0689891922273365, 6.0873702274976464]}, "1": {"mean": -0.970690906047821, "std": 1.1319917440414429, "pca": [-0.1287059783935547, -0.4307454228401184, 0.0392390638589859, 0.54933762550354, 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[19.022640972543535, 20.791139744814725, 20.803007390255697, 21.3153629218576, 28.996580839157104]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "12": {"neuron_profiles": {"0": {"mean": -3.6741943359375, "std": 5.201449871063232, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [83.77542131668106, 88.63653153565451, 90.2581783163994, 91.97882920219551, 330.67746652662754]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.728398, 0.606771, -0.252436, -0.288649, 0.086219], [0.593334, 0.412809, 0.071025, -0.119591, -0.010111], [0.168355, 0.560979, -0.197365, -0.194829, 0.092083], [0.330257, -0.288275, 0.044417, -0.493506, 0.574892], [-0.283259, -0.210034, -0.247217, -0.247857, -0.304478]], "network.0.bias": [0.515845, 0.112046, -0.255091, -0.171474, -0.062718], "network.2.weight": [[0.814194, 0.746315, 0.604721, 0.819997, 0.14593], [0.247567, 0.34727, -0.004173, 0.71906, 0.109616], [-0.626266, 0.377368, 0.054778, -0.434645, -0.359756], [0.8764, 0.307903, 0.353656, 0.245028, -0.253787], [-0.38681, 0.03943, 0.38943, -0.225679, -0.347698]], "network.2.bias": [-0.224953, -0.093628, -0.212137, -0.09572, 0.478433], "network.4.weight": [[-0.496141, 0.113332, -0.225273, 0.39802, -0.47862], [-0.177261, 0.121887, -0.415068, -0.391627, 0.043461], [-0.339628, 0.387354, 0.093407, -0.099991, -0.030545], [-0.409967, -0.132901, 0.224576, -0.030155, 0.100105], [0.632901, 0.508015, 0.027915, 0.910343, -0.608249]], "network.4.bias": [-0.055226, -0.298787, 0.49623, -0.306233, -0.04654], "network.6.weight": [[-0.192189, 0.000826, -0.389119, 0.062879, 0.734297], [0.076216, 0.347226, -0.406634, 0.097735, -0.08949], [0.121318, 0.216712, 0.095638, 0.373991, -0.136585], [-0.005502, -0.380853, -0.116191, 0.321228, 0.7897], [-0.123892, 0.108169, 0.229391, -0.052076, -0.391219]], "network.6.bias": [-0.127235, 0.082016, -0.431783, 0.048623, 0.603012], "network.8.weight": [[-0.170744, -0.017204, 0.152336, -0.393625, -0.164114], [0.161781, -0.107256, 0.346498, -0.210156, 0.191832], [0.556754, -0.284608, 0.232406, 0.851183, -0.843184], [0.099894, 0.394192, 0.376052, -0.201787, 0.318136], [0.917621, 0.012571, 0.085512, 0.381934, -0.483767]], "network.8.bias": [0.007684, -0.369973, -0.034602, -0.025587, -0.047273], "network.10.weight": [[-0.421876, 0.319985, -0.288864, 0.15394, 0.252763], [-0.336792, 0.43246, 0.034327, -0.082343, -0.266713], [-0.345822, -0.387203, 0.885828, -0.432559, 0.620825], [0.403252, -0.017915, 0.172979, 0.063662, 0.453826], [0.114107, -0.365329, 0.020495, -0.003892, -0.263454]], "network.10.bias": [0.301653, -0.080377, 0.154172, -0.12767, 0.611254], "network.12.weight": [[0.310838, -0.014581, -0.506221, -0.315694, 0.488331]], "network.12.bias": [0.14271]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6758647263050079, "train_acc": 0.63, "val_loss": 0.6987246870994568, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6674523651599884, "train_acc": 0.58, "val_loss": 0.6821327209472656, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6407355964183807, "train_acc": 0.58, "val_loss": 0.6110643744468689, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6090933680534363, "train_acc": 0.5, "val_loss": 0.5072776675224304, "val_acc": 0.5}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.507385790348053, "train_acc": 0.625, "val_loss": 0.42570072412490845, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.46512559056282043, "train_acc": 0.84, "val_loss": 0.36781397461891174, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4150876849889755, "train_acc": 0.85, "val_loss": 0.3613322377204895, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3699953258037567, "train_acc": 0.86, "val_loss": 0.3097915053367615, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.36666619777679443, "train_acc": 0.865, "val_loss": 0.3225313425064087, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3229101300239563, "train_acc": 0.875, "val_loss": 0.3077749013900757, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.28219354897737503, "train_acc": 0.89, "val_loss": 0.2858157455921173, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2629357650876045, "train_acc": 0.89, "val_loss": 0.2622448801994324, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.2521669715642929, "train_acc": 0.895, "val_loss": 0.28245458006858826, "val_acc": 0.86}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6987246870994568, "final_val_loss": 0.6110643744468689, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5072776675224304, "final_val_loss": 0.28245458006858826, "initial_val_acc": 0.5, "final_val_acc": 0.86, "best_val_acc": 0.92, "best_epoch": 5}, "improvement": 0.42000000000000004, "first_improvement_epoch": 2}}
|
177
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.62, "improved_accuracy": 0.94, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7709, "learning_rate": 0.024227013880316017, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
[
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0.00429
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[
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[
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[
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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[
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[
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[
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[
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[
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"network.4.weight": [
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"network.6.weight": [
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[
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"network.8.weight": [
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}
## Activation Signature
### 0
mean: [2.172611, -0.580495, -2.273761, -0.104964, 2.711177, 1.474980, 2.439515]
std: [1.602363, 0.891983, 1.314885, 2.046068, 2.372860, 2.176964, 2.403888]
pca: [[0.346454, -0.045242, 0.207963, 0.004508, 0.710587, -0.034349, -0.573184, 0.000000, 0.000000, 0.000000], [-0.038627, 0.132049, 0.663777, 0.676847, 0.039751, 0.127434, 0.254029, 0.000000, 0.000000, 0.000000], [-0.209785, -0.315149, -0.461131, 0.680894, -0.098542, -0.171797, -0.375750, 0.000000, 0.000000, 0.000000], [-0.395170, 0.467224, -0.398174, 0.106767, 0.591510, 0.105232, 0.307640, 0.000000, 0.000000, 0.000000], [0.420409, 0.737456, -0.133567, 0.157914, -0.269317, -0.370874, -0.162968, 0.000000, 0.000000, 0.000000], [0.463361, -0.344418, -0.157694, 0.108337, 0.241235, -0.486327, 0.579103, 0.000000, 0.000000, 0.000000], [0.535594, -0.020815, -0.319782, 0.173690, -0.056258, 0.753612, 0.095813, 0.000000, 0.000000, 0.000000]]
fourier: [[25.949556, 28.559143, 33.033733, 33.039781, 195.534974], [14.155026, 14.488452, 16.487698, 16.555039, 52.244578], [22.441542, 23.443640, 24.084911, 25.897181, 204.638448], [32.115987, 34.122990, 35.018690, 35.987441, 47.656201], [36.036094, 38.997220, 45.559498, 50.519510, 244.005891], [36.780176, 38.041725, 42.570139, 45.070539, 132.748157], [42.067046, 42.130167, 43.309801, 43.806856, 219.556329]]
### 2
mean: [0.416723, 4.119192, 2.322035, -2.785771, 0.049639, -2.658205, -1.118651]
std: [0.354530, 3.960567, 2.717771, 2.088817, 1.138211, 2.033718, 0.303672]
pca: [[0.012722, 0.563923, 0.128231, 0.079946, 0.713843, -0.383167, -0.051049, 0.000000, 0.000000, 0.000000], [0.694589, 0.056072, 0.000832, 0.253991, 0.248205, 0.622990, -0.012936, 0.000000, 0.000000, 0.000000], [0.473642, -0.465171, -0.301003, -0.172489, 0.199921, -0.486777, 0.402496, 0.000000, 0.000000, 0.000000], [-0.362011, -0.428607, -0.359079, 0.630342, 0.348481, 0.042923, -0.188931, 0.000000, 0.000000, 0.000000], [-0.186831, -0.487271, 0.627006, -0.323272, 0.428489, 0.213069, 0.031925, 0.000000, 0.000000, 0.000000], [-0.355248, 0.203190, -0.315226, -0.151485, 0.177777, 0.384271, 0.728648, 0.000000, 0.000000, 0.000000], [-0.029803, -0.006317, -0.521069, -0.612014, 0.228490, 0.182234, -0.517282, 0.000000, 0.000000, 0.000000]]
fourier: [[5.670328, 6.076239, 6.470756, 7.944884, 37.505077], [64.941985, 72.309069, 74.644831, 75.513081, 370.727312], [44.286003, 49.255061, 49.698952, 50.021713, 208.983165], [37.563641, 38.295968, 38.630298, 39.832608, 250.719390], [18.915110, 19.423596, 20.158657, 20.251035, 26.076480], [32.669907, 36.466257, 37.270045, 39.175026, 239.238414], [4.606462, 5.167923, 5.175317, 5.590171, 100.678599]]
### 4
mean: [-0.923151, 0.265824, 1.939984, 1.670214, 3.281282, -0.649024, 2.585125]
std: [0.419669, 0.754942, 2.227152, 2.276582, 3.178444, 0.191096, 3.455038]
pca: [[-0.068356, 0.364033, 0.778357, 0.055026, 0.242046, -0.031599, 0.440858, 0.000000, 0.000000, 0.000000], [-0.127534, 0.862753, -0.118658, 0.078188, -0.203183, -0.010781, -0.421663, 0.000000, 0.000000, 0.000000], [0.388141, 0.105103, -0.260760, 0.827186, 0.135987, 0.031011, 0.258096, 0.000000, 0.000000, 0.000000], [0.396664, -0.201257, 0.480362, 0.202863, -0.598680, -0.244727, -0.334579, 0.000000, 0.000000, 0.000000], [0.554126, 0.239098, -0.165912, -0.435599, -0.363396, 0.281094, 0.455448, 0.000000, 0.000000, 0.000000], [-0.032464, -0.102027, 0.218008, 0.142576, 0.003061, 0.923915, -0.258944, 0.000000, 0.000000, 0.000000], [0.602460, 0.063321, 0.079269, -0.235361, 0.625422, -0.073474, -0.418094, 0.000000, 0.000000, 0.000000]]
fourier: [[6.797558, 6.910785, 7.019971, 8.102753, 83.083648], [12.682512, 12.739004, 12.836892, 13.425536, 23.924176], [36.762610, 40.573644, 41.683127, 42.271323, 174.598552], [38.616545, 41.428781, 41.699361, 44.476256, 150.319240], [53.139365, 56.888800, 58.042671, 61.340533, 295.315414], [3.118292, 3.338802, 3.371843, 3.763212, 58.412159], [58.028054, 62.152594, 63.152206, 66.891867, 232.661296]]
### 6
mean: [-2.572447, -0.022386, -1.025776, 0.271409, -1.949312, 4.727428, 2.713077]
std: [2.348423, 1.403308, 1.037920, 1.530330, 1.866808, 6.075755, 3.610280]
pca: [[-0.292722, -0.348550, -0.301728, -0.017334, 0.510700, -0.580827, -0.321421, 0.000000, 0.000000, 0.000000], [-0.174147, 0.565552, 0.184695, 0.608052, 0.490550, 0.072150, -0.011811, 0.000000, 0.000000, 0.000000], [-0.128579, -0.051901, 0.841135, -0.444666, 0.260344, -0.083786, -0.027179, 0.000000, 0.000000, 0.000000], [-0.189561, 0.711841, -0.295593, -0.572093, -0.037378, -0.202582, 0.015737, 0.000000, 0.000000, 0.000000], [-0.232829, -0.111284, -0.211675, -0.256865, 0.321451, 0.775007, -0.344462, 0.000000, 0.000000, 0.000000], [0.757943, 0.175994, 0.038669, -0.051095, 0.110652, -0.070811, -0.610888, 0.000000, 0.000000, 0.000000], [0.450370, -0.076779, -0.183475, -0.190694, 0.560174, 0.061027, 0.635393, 0.000000, 0.000000, 0.000000]]
fourier: [[39.801272, 40.542202, 41.978977, 44.565233, 231.520187], [22.033978, 23.235910, 24.347164, 24.458714, 27.525080], [16.881224, 19.273711, 19.322668, 20.201725, 92.319861], [24.426774, 24.736271, 25.576902, 26.892296, 29.538751], [31.801880, 32.171425, 32.934267, 35.553388, 175.438067], [103.319979, 105.746964, 107.192924, 116.562959, 425.468577], [61.455507, 63.075257, 63.325331, 69.605956, 244.176959]]
### 8
mean: [-4.260873]
std: [7.252452]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[122.130789, 124.124767, 124.650015, 141.668319, 383.478583]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.605283,
-0.029934,
0.29472,
0.159443,
0.143644
],
[
0.113358,
-0.381484,
-0.149355,
0.370848,
0.00429
],
[
-0.194734,
-0.298044,
0.018842,
-0.216321,
-0.41656
],
[
-0.938742,
0.089107,
0.037681,
0.203941,
-0.269374
],
[
0.585088,
0.565877,
0.028025,
0.604157,
-0.065835
],
[
0.924301,
0.011761,
0.315144,
-0.100016,
0.007652
],
[
0.979525,
0.268831,
0.254886,
0.099546,
-0.078986
]
],
"network.0.bias": [
0.339202,
-0.514983,
-0.550035,
0.717052,
-0.321011,
-0.149954,
0.082197
],
"network.2.weight": [
[
0.428901,
-0.45994,
0.066814,
0.094125,
-0.262498,
-0.284408,
0.205304
],
[
0.447144,
0.227614,
0.061256,
-0.339864,
0.517298,
0.750927,
0.299858
],
[
-0.139448,
0.470647,
0.090291,
-0.460539,
0.505183,
0.474999,
0.375445
],
[
-0.435341,
0.130806,
0.110787,
-0.317701,
-0.023143,
-0.333153,
-0.329093
],
[
0.081912,
-0.228215,
-0.406116,
0.371888,
-0.013977,
-0.38177,
-0.125442
],
[
-0.333263,
-0.262182,
-0.061763,
-0.005033,
-0.264228,
-0.230983,
-0.238003
],
[
-0.467305,
-0.025145,
-0.16081,
-0.227246,
0.041257,
0.151161,
0.042064
]
],
"network.2.bias": [
0.153146,
0.026968,
-0.162629,
-0.239762,
0.5798,
-0.22123,
-0.388171
],
"network.4.weight": [
[
-0.096136,
0.084423,
-0.311923,
-0.317547,
-0.359515,
-0.052037,
-0.354914
],
[
0.403779,
0.061442,
-0.34578,
0.192237,
0.286261,
0.376245,
0.159639
],
[
-0.219776,
0.513829,
0.067503,
-0.245167,
-0.107632,
0.302573,
-0.044399
],
[
-0.322135,
0.367828,
0.251089,
0.077842,
-0.602528,
-0.075644,
0.143626
],
[
0.36421,
0.360414,
0.622996,
0.136181,
-0.279175,
-0.107625,
0.170667
],
[
-0.177725,
0.008867,
-0.092532,
-0.025253,
-0.118399,
-0.001125,
0.006115
],
[
0.120319,
0.437,
0.596554,
-0.183048,
-0.482857,
0.108034,
0.060857
]
],
"network.4.bias": [
-0.308675,
0.516682,
-0.189171,
-0.005702,
0.286631,
-0.328133,
-0.454072
],
"network.6.weight": [
[
-0.132131,
-0.299378,
-0.347381,
-0.242205,
-0.188253,
0.075017,
-0.166528
],
[
-0.07621,
0.563932,
0.195614,
-0.623957,
0.003346,
-0.112517,
-0.087503
],
[
0.374708,
0.370112,
-0.28452,
0.339701,
-0.32157,
-0.306761,
-0.004161
],
[
0.218695,
0.574218,
-0.06585,
-0.651325,
0.48387,
0.138191,
-0.391308
],
[
0.327681,
-0.075758,
-0.294115,
-0.23255,
-0.030852,
0.020012,
-0.192308
],
[
-0.037837,
-0.19022,
0.425589,
0.469781,
0.486796,
-0.086398,
0.75273
],
[
0.321684,
-0.363071,
0.068578,
0.223566,
0.329931,
0.391656,
0.541646
]
],
"network.6.bias": [
-0.241062,
0.65006,
-0.174249,
0.753167,
-0.294736,
-0.495969,
-0.1957
],
"network.8.weight": [
[
-0.030968,
0.55214,
-0.326022,
0.737541,
-0.328282,
-0.770822,
-0.567335
]
],
"network.8.bias": [
0.155684
]
}
## Activation Signature
### 0
mean: [2.172611, -0.580495, -2.273761, -0.104964, 2.711177, 1.474980, 2.439515]
std: [1.602363, 0.891983, 1.314885, 2.046068, 2.372860, 2.176964, 2.403888]
pca: [[0.346454, -0.045242, 0.207963, 0.004508, 0.710587, -0.034349, -0.573184, 0.000000, 0.000000, 0.000000], [-0.038627, 0.132049, 0.663777, 0.676847, 0.039751, 0.127434, 0.254029, 0.000000, 0.000000, 0.000000], [-0.209785, -0.315149, -0.461131, 0.680894, -0.098542, -0.171797, -0.375750, 0.000000, 0.000000, 0.000000], [-0.395170, 0.467224, -0.398174, 0.106767, 0.591510, 0.105232, 0.307640, 0.000000, 0.000000, 0.000000], [0.420409, 0.737456, -0.133567, 0.157914, -0.269317, -0.370874, -0.162968, 0.000000, 0.000000, 0.000000], [0.463361, -0.344418, -0.157694, 0.108337, 0.241235, -0.486327, 0.579103, 0.000000, 0.000000, 0.000000], [0.535594, -0.020815, -0.319782, 0.173690, -0.056258, 0.753612, 0.095813, 0.000000, 0.000000, 0.000000]]
fourier: [[25.949556, 28.559143, 33.033733, 33.039781, 195.534974], [14.155026, 14.488452, 16.487698, 16.555039, 52.244578], [22.441542, 23.443640, 24.084911, 25.897181, 204.638448], [32.115987, 34.122990, 35.018690, 35.987441, 47.656201], [36.036094, 38.997220, 45.559498, 50.519510, 244.005891], [36.780176, 38.041725, 42.570139, 45.070539, 132.748157], [42.067046, 42.130167, 43.309801, 43.806856, 219.556329]]
### 2
mean: [0.416723, 4.119192, 2.322035, -2.785771, 0.049639, -2.658205, -1.118651]
std: [0.354530, 3.960567, 2.717771, 2.088817, 1.138211, 2.033718, 0.303672]
pca: [[0.012722, 0.563923, 0.128231, 0.079946, 0.713843, -0.383167, -0.051049, 0.000000, 0.000000, 0.000000], [0.694589, 0.056072, 0.000832, 0.253991, 0.248205, 0.622990, -0.012936, 0.000000, 0.000000, 0.000000], [0.473642, -0.465171, -0.301003, -0.172489, 0.199921, -0.486777, 0.402496, 0.000000, 0.000000, 0.000000], [-0.362011, -0.428607, -0.359079, 0.630342, 0.348481, 0.042923, -0.188931, 0.000000, 0.000000, 0.000000], [-0.186831, -0.487271, 0.627006, -0.323272, 0.428489, 0.213069, 0.031925, 0.000000, 0.000000, 0.000000], [-0.355248, 0.203190, -0.315226, -0.151485, 0.177777, 0.384271, 0.728648, 0.000000, 0.000000, 0.000000], [-0.029803, -0.006317, -0.521069, -0.612014, 0.228490, 0.182234, -0.517282, 0.000000, 0.000000, 0.000000]]
fourier: [[5.670328, 6.076239, 6.470756, 7.944884, 37.505077], [64.941985, 72.309069, 74.644831, 75.513081, 370.727312], [44.286003, 49.255061, 49.698952, 50.021713, 208.983165], [37.563641, 38.295968, 38.630298, 39.832608, 250.719390], [18.915110, 19.423596, 20.158657, 20.251035, 26.076480], [32.669907, 36.466257, 37.270045, 39.175026, 239.238414], [4.606462, 5.167923, 5.175317, 5.590171, 100.678599]]
### 4
mean: [-0.923151, 0.265824, 1.939984, 1.670214, 3.281282, -0.649024, 2.585125]
std: [0.419669, 0.754942, 2.227152, 2.276582, 3.178444, 0.191096, 3.455038]
pca: [[-0.068356, 0.364033, 0.778357, 0.055026, 0.242046, -0.031599, 0.440858, 0.000000, 0.000000, 0.000000], [-0.127534, 0.862753, -0.118658, 0.078188, -0.203183, -0.010781, -0.421663, 0.000000, 0.000000, 0.000000], [0.388141, 0.105103, -0.260760, 0.827186, 0.135987, 0.031011, 0.258096, 0.000000, 0.000000, 0.000000], [0.396664, -0.201257, 0.480362, 0.202863, -0.598680, -0.244727, -0.334579, 0.000000, 0.000000, 0.000000], [0.554126, 0.239098, -0.165912, -0.435599, -0.363396, 0.281094, 0.455448, 0.000000, 0.000000, 0.000000], [-0.032464, -0.102027, 0.218008, 0.142576, 0.003061, 0.923915, -0.258944, 0.000000, 0.000000, 0.000000], [0.602460, 0.063321, 0.079269, -0.235361, 0.625422, -0.073474, -0.418094, 0.000000, 0.000000, 0.000000]]
fourier: [[6.797558, 6.910785, 7.019971, 8.102753, 83.083648], [12.682512, 12.739004, 12.836892, 13.425536, 23.924176], [36.762610, 40.573644, 41.683127, 42.271323, 174.598552], [38.616545, 41.428781, 41.699361, 44.476256, 150.319240], [53.139365, 56.888800, 58.042671, 61.340533, 295.315414], [3.118292, 3.338802, 3.371843, 3.763212, 58.412159], [58.028054, 62.152594, 63.152206, 66.891867, 232.661296]]
### 6
mean: [-2.572447, -0.022386, -1.025776, 0.271409, -1.949312, 4.727428, 2.713077]
std: [2.348423, 1.403308, 1.037920, 1.530330, 1.866808, 6.075755, 3.610280]
pca: [[-0.292722, -0.348550, -0.301728, -0.017334, 0.510700, -0.580827, -0.321421, 0.000000, 0.000000, 0.000000], [-0.174147, 0.565552, 0.184695, 0.608052, 0.490550, 0.072150, -0.011811, 0.000000, 0.000000, 0.000000], [-0.128579, -0.051901, 0.841135, -0.444666, 0.260344, -0.083786, -0.027179, 0.000000, 0.000000, 0.000000], [-0.189561, 0.711841, -0.295593, -0.572093, -0.037378, -0.202582, 0.015737, 0.000000, 0.000000, 0.000000], [-0.232829, -0.111284, -0.211675, -0.256865, 0.321451, 0.775007, -0.344462, 0.000000, 0.000000, 0.000000], [0.757943, 0.175994, 0.038669, -0.051095, 0.110652, -0.070811, -0.610888, 0.000000, 0.000000, 0.000000], [0.450370, -0.076779, -0.183475, -0.190694, 0.560174, 0.061027, 0.635393, 0.000000, 0.000000, 0.000000]]
fourier: [[39.801272, 40.542202, 41.978977, 44.565233, 231.520187], [22.033978, 23.235910, 24.347164, 24.458714, 27.525080], [16.881224, 19.273711, 19.322668, 20.201725, 92.319861], [24.426774, 24.736271, 25.576902, 26.892296, 29.538751], [31.801880, 32.171425, 32.934267, 35.553388, 175.438067], [103.319979, 105.746964, 107.192924, 116.562959, 425.468577], [61.455507, 63.075257, 63.325331, 69.605956, 244.176959]]
### 8
mean: [-4.260873]
std: [7.252452]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[122.130789, 124.124767, 124.650015, 141.668319, 383.478583]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.605283, -0.029934, 0.29472, 0.159443, 0.143644], [0.113358, -0.381484, -0.149355, 0.370848, 0.00429], [-0.194734, -0.298044, 0.018842, -0.216321, -0.41656], [-0.938742, 0.089107, 0.037681, 0.203941, -0.269374], [0.585088, 0.565877, 0.028025, 0.604157, -0.065835], [0.924301, 0.011761, 0.315144, -0.100016, 0.007652], [0.979525, 0.268831, 0.254886, 0.099546, -0.078986]], "network.0.bias": [0.339202, -0.514983, -0.550035, 0.717052, -0.321011, -0.149954, 0.082197], "network.2.weight": [[0.428901, -0.45994, 0.066814, 0.094125, -0.262498, -0.284408, 0.205304], [0.447144, 0.227614, 0.061256, -0.339864, 0.517298, 0.750927, 0.299858], [-0.139448, 0.470647, 0.090291, -0.460539, 0.505183, 0.474999, 0.375445], [-0.435341, 0.130806, 0.110787, -0.317701, -0.023143, -0.333153, -0.329093], [0.081912, -0.228215, -0.406116, 0.371888, -0.013977, -0.38177, -0.125442], [-0.333263, -0.262182, -0.061763, -0.005033, -0.264228, -0.230983, -0.238003], [-0.467305, -0.025145, -0.16081, -0.227246, 0.041257, 0.151161, 0.042064]], "network.2.bias": [0.153146, 0.026968, -0.162629, -0.239762, 0.5798, -0.22123, -0.388171], "network.4.weight": [[-0.096136, 0.084423, -0.311923, -0.317547, -0.359515, -0.052037, -0.354914], [0.403779, 0.061442, -0.34578, 0.192237, 0.286261, 0.376245, 0.159639], [-0.219776, 0.513829, 0.067503, -0.245167, -0.107632, 0.302573, -0.044399], [-0.322135, 0.367828, 0.251089, 0.077842, -0.602528, -0.075644, 0.143626], [0.36421, 0.360414, 0.622996, 0.136181, -0.279175, -0.107625, 0.170667], [-0.177725, 0.008867, -0.092532, -0.025253, -0.118399, -0.001125, 0.006115], [0.120319, 0.437, 0.596554, -0.183048, -0.482857, 0.108034, 0.060857]], "network.4.bias": [-0.308675, 0.516682, -0.189171, -0.005702, 0.286631, -0.328133, -0.454072], "network.6.weight": [[-0.132131, -0.299378, -0.347381, -0.242205, -0.188253, 0.075017, -0.166528], [-0.07621, 0.563932, 0.195614, -0.623957, 0.003346, -0.112517, -0.087503], [0.374708, 0.370112, -0.28452, 0.339701, -0.32157, -0.306761, -0.004161], [0.218695, 0.574218, -0.06585, -0.651325, 0.48387, 0.138191, -0.391308], [0.327681, -0.075758, -0.294115, -0.23255, -0.030852, 0.020012, -0.192308], [-0.037837, -0.19022, 0.425589, 0.469781, 0.486796, -0.086398, 0.75273], [0.321684, -0.363071, 0.068578, 0.223566, 0.329931, 0.391656, 0.541646]], "network.6.bias": [-0.241062, 0.65006, -0.174249, 0.753167, -0.294736, -0.495969, -0.1957], "network.8.weight": [[-0.030968, 0.55214, -0.326022, 0.737541, -0.328282, -0.770822, -0.567335]], "network.8.bias": [0.155684]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6801479756832123, "train_acc": 0.585, "val_loss": 0.6828706860542297, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6397960186004639, "train_acc": 0.585, "val_loss": 0.6874668598175049, "val_acc": 0.4}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.5975086688995361, "train_acc": 0.585, "val_loss": 0.700897216796875, "val_acc": 0.4}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5751998126506805, "train_acc": 0.585, "val_loss": 0.664202094078064, "val_acc": 0.4}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.5301913321018219, "train_acc": 0.63, "val_loss": 0.5774518251419067, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.513321578502655, "train_acc": 0.75, "val_loss": 0.526305615901947, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.4944287836551666, "train_acc": 0.775, "val_loss": 0.5088757872581482, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.44181016087532043, "train_acc": 0.795, "val_loss": 0.4235938787460327, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.41392022371292114, "train_acc": 0.87, "val_loss": 0.3787383735179901, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.36215096712112427, "train_acc": 0.885, "val_loss": 0.3624536991119385, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.33244840800762177, "train_acc": 0.845, "val_loss": 0.30343466997146606, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.2904987782239914, "train_acc": 0.885, "val_loss": 0.23807792365550995, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.25636080652475357, "train_acc": 0.92, "val_loss": 0.20814043283462524, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.22384291887283325, "train_acc": 0.92, "val_loss": 0.20255205035209656, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.21639103442430496, "train_acc": 0.92, "val_loss": 0.1610632836818695, "val_acc": 0.94}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6828706860542297, "final_val_loss": 0.5774518251419067, "initial_val_acc": 0.4, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.526305615901947, "final_val_loss": 0.1610632836818695, "initial_val_acc": 0.68, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 13}, "improvement": 0.31999999999999995, "first_improvement_epoch": 4}}
|
178
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.58, "improved_accuracy": 0.94, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6311, "learning_rate": 0.034346534628574066, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.6.weight": [
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"network.8.weight": [
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"network.8.bias": [
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"network.10.weight": [
[
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[
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0.434527,
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[
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"network.12.weight": [
[
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [2.630450, 0.389828, -0.923945, 0.014149, 1.413649, 2.318503, 1.849150, 0.230328]
std: [2.049630, 1.273951, 1.132045, 1.257956, 1.201447, 2.379035, 2.154759, 1.646311]
pca: [[0.427948, -0.569549, -0.131741, -0.097132, -0.272683, 0.611217, -0.076373, -0.109128, 0.000000, 0.000000], [0.240061, 0.077204, -0.021307, 0.704342, -0.374144, -0.256904, -0.155445, -0.457944, 0.000000, 0.000000], [-0.126726, -0.038171, 0.761800, -0.369165, -0.239020, -0.032036, -0.022589, -0.455186, 0.000000, 0.000000], [0.234197, 0.447554, 0.002314, -0.015971, -0.273955, 0.227542, 0.785972, 0.002931, 0.000000, 0.000000], [0.208930, -0.316789, -0.379223, -0.397498, 0.037487, -0.592638, 0.297065, -0.336608, 0.000000, 0.000000], [0.557205, 0.099588, 0.264756, 0.102793, 0.743654, 0.074201, 0.017040, -0.200315, 0.000000, 0.000000], [0.508884, -0.071900, 0.328045, -0.051631, -0.271375, -0.381849, -0.099096, 0.629536, 0.000000, 0.000000], [0.274285, 0.593674, -0.283420, -0.432080, -0.159398, 0.071262, -0.503373, -0.146387, 0.000000, 0.000000]]
fourier: [[35.045347, 35.377525, 37.142258, 40.849540, 236.740502], [20.328754, 20.356981, 21.854782, 23.091012, 35.084531], [17.386541, 17.581300, 17.768432, 18.047840, 83.155058], [18.563970, 19.472864, 19.623982, 20.647397, 25.945065], [19.374050, 19.513362, 23.782758, 24.060894, 127.228400], [36.970486, 40.354886, 40.435810, 46.093851, 208.665253], [36.414731, 37.193781, 38.583567, 38.681866, 166.423507], [24.853748, 25.297972, 25.992896, 28.255604, 35.222468]]
### 2
mean: [1.759164, 1.720895, -0.560970, 3.871324, -2.311664, 3.560823, -1.457900, -2.254467]
std: [2.240555, 2.248647, 0.768131, 3.455178, 1.870942, 3.736138, 1.294068, 2.141612]
pca: [[0.330062, -0.228497, -0.391203, 0.402869, -0.122597, 0.043700, 0.701272, -0.121585, 0.000000, 0.000000], [0.319537, -0.480527, 0.673208, -0.244700, 0.066202, 0.126865, 0.257708, 0.258867, 0.000000, 0.000000], [-0.058149, 0.451296, 0.597162, 0.525608, -0.343272, -0.069083, 0.124126, -0.148556, 0.000000, 0.000000], [0.511179, 0.524631, -0.007112, 0.075328, 0.576218, 0.326436, -0.012610, 0.137789, 0.000000, 0.000000], [-0.277018, -0.214177, -0.070815, 0.550758, 0.077875, 0.210128, -0.173587, 0.699063, 0.000000, 0.000000], [0.557001, -0.325204, -0.007870, 0.334425, -0.112884, -0.150888, -0.616278, -0.238287, 0.000000, 0.000000], [-0.191681, -0.158796, 0.039131, 0.037168, -0.077154, 0.859247, -0.101743, -0.424875, 0.000000, 0.000000], [-0.317078, -0.247246, 0.174613, 0.281648, 0.711312, -0.255804, 0.077165, -0.388795, 0.000000, 0.000000]]
fourier: [[37.581353, 40.692392, 41.037185, 41.689957, 158.324771], [36.156134, 36.752621, 37.241951, 37.846333, 154.880562], [11.025474, 12.303649, 14.142943, 14.461871, 50.487292], [57.755546, 62.951900, 64.630284, 65.298067, 348.419135], [31.049945, 31.829031, 32.612447, 36.467680, 208.049740], [63.485025, 64.514258, 65.359776, 67.805883, 320.474111], [22.112156, 22.994500, 23.489425, 25.603432, 131.210972], [36.152948, 37.524609, 39.863235, 42.191183, 202.902037]]
### 4
mean: [0.193989, 0.867637, 1.129574, -2.549114, 0.856492, 2.840992, 4.835743, 3.534648]
std: [0.213595, 0.390490, 1.081711, 2.386902, 0.409502, 2.802894, 5.509064, 4.028855]
pca: [[-0.016621, 0.332788, -0.100103, 0.319094, -0.494667, -0.037703, 0.583682, -0.436271, 0.000000, 0.000000], [0.045904, 0.019134, -0.481106, 0.112143, 0.631336, 0.334934, 0.036009, -0.491351, 0.000000, 0.000000], [0.131118, 0.625295, 0.547769, -0.111367, 0.078196, 0.474383, -0.187018, -0.115030, 0.000000, 0.000000], [-0.303008, -0.499951, 0.321041, -0.110391, 0.025084, 0.547947, 0.489042, 0.054264, 0.000000, 0.000000], [0.048455, 0.230080, -0.285484, 0.508219, 0.033947, 0.337799, 0.110465, 0.690988, 0.000000, 0.000000], [0.357619, 0.097058, 0.310200, 0.003489, 0.522334, -0.417877, 0.541591, 0.160240, 0.000000, 0.000000], [0.703286, -0.081688, -0.293655, -0.498179, -0.261984, 0.257728, 0.147664, 0.086236, 0.000000, 0.000000], [0.513576, -0.422980, 0.302390, 0.595428, -0.085765, 0.077198, -0.237807, -0.203684, 0.000000, 0.000000]]
fourier: [[3.330439, 3.416589, 3.733256, 4.064034, 17.459001], [6.885570, 7.034901, 7.620849, 7.881002, 78.087298], [18.043697, 19.878933, 20.512503, 20.590849, 101.661672], [42.199747, 43.258907, 43.762318, 44.952512, 229.420316], [7.759410, 8.027164, 8.256591, 8.506880, 77.084268], [48.560635, 49.172108, 49.275274, 50.452453, 255.689315], [94.187044, 96.093008, 97.728415, 98.798972, 435.216904], [67.890779, 68.900564, 69.686354, 71.163355, 318.118342]]
### 6
mean: [1.855223, 0.874541, 3.361024, 5.053164, 3.592256, 2.471247, 0.878310, 0.851133]
std: [2.641752, 0.183735, 4.437941, 6.087770, 4.206460, 2.971811, 0.401190, 0.541060]
pca: [[0.277113, -0.550146, -0.089342, -0.572558, -0.275953, -0.336449, 0.089112, 0.295727, 0.000000, 0.000000], [0.011711, 0.629710, 0.073739, -0.110935, -0.278789, -0.312414, 0.618633, 0.165987, 0.000000, 0.000000], [0.466112, -0.037083, -0.068584, -0.023810, 0.745241, -0.245983, 0.311790, -0.250975, 0.000000, 0.000000], [0.639278, 0.334422, -0.453766, -0.043892, -0.318370, 0.159842, -0.309789, -0.220858, 0.000000, 0.000000], [0.441664, -0.093299, 0.517331, 0.039247, -0.055093, 0.632386, 0.263893, 0.233387, 0.000000, 0.000000], [0.312014, -0.121201, 0.316031, 0.653955, -0.202486, -0.518667, -0.188743, 0.121594, 0.000000, 0.000000], [0.039299, 0.272425, 0.630401, -0.473241, 0.055072, -0.184339, -0.429967, -0.284591, 0.000000, 0.000000], [0.056310, 0.299970, -0.105169, -0.064985, 0.377246, -0.015286, -0.355015, 0.789291, 0.000000, 0.000000]]
fourier: [[44.662954, 45.426216, 45.751558, 47.391500, 166.970091], [2.732085, 3.125901, 3.995638, 3.996440, 78.708653], [75.417751, 76.289200, 76.710161, 79.412796, 302.492138], [103.666781, 104.373263, 105.027966, 108.637258, 454.784786], [72.158962, 72.412726, 73.115311, 75.753861, 323.303051], [50.810184, 51.038827, 51.509487, 53.935948, 222.412226], [7.400133, 7.548867, 7.781860, 8.225667, 79.047880], [9.147216, 9.564523, 9.635921, 9.744990, 76.601987]]
### 8
mean: [2.971091, 6.234611, 5.058650, 6.027530, 0.941238, 4.964199, 2.198161, 0.163075]
std: [3.521415, 7.928007, 6.862509, 7.917860, 0.326108, 6.418307, 3.734610, 0.542557]
pca: [[0.227007, 0.272127, 0.330006, 0.225226, -0.179592, 0.285538, 0.765897, 0.120006, 0.000000, 0.000000], [0.511230, 0.136397, -0.288135, -0.482649, -0.286821, -0.499479, 0.211148, -0.166549, 0.000000, 0.000000], [0.442528, -0.025325, 0.162444, 0.661178, 0.093049, -0.263123, -0.192334, -0.474446, 0.000000, 0.000000], [0.510579, 0.058467, -0.443384, 0.005262, -0.033948, 0.686966, -0.253540, 0.043773, 0.000000, 0.000000], [0.018697, 0.461174, 0.470389, -0.444145, 0.261472, 0.225311, -0.191934, -0.460941, 0.000000, 0.000000], [0.413882, -0.075290, 0.199455, -0.106879, 0.666151, -0.178226, -0.013050, 0.544184, 0.000000, 0.000000], [0.240647, -0.436482, 0.568088, -0.168441, -0.525738, 0.080821, -0.292832, 0.178305, 0.000000, 0.000000], [-0.032103, 0.703148, 0.036379, 0.205133, -0.295202, -0.196905, -0.380505, 0.436405, 0.000000, 0.000000]]
fourier: [[59.743340, 60.198102, 61.396420, 63.627692, 267.398237], [133.124998, 136.856174, 138.724601, 142.963216, 561.115033], [114.934039, 118.789207, 120.522830, 124.310061, 455.278568], [132.510589, 136.976058, 138.849958, 142.940156, 542.477696], [5.183228, 6.550149, 6.727087, 6.764862, 84.711383], [107.903272, 110.851680, 112.569440, 116.145128, 446.777942], [62.337995, 65.558040, 65.609941, 67.744426, 197.834508], [8.374981, 9.361230, 9.405432, 10.238218, 14.676783]]
### 10
mean: [-1.120216, 0.637360, 9.242136, 13.061453, 9.671748, 1.144947, 5.052885, 13.262245]
std: [2.511139, 0.151530, 12.047434, 17.188280, 12.952418, 1.088941, 6.675039, 17.264498]
pca: [[-0.080942, 0.550607, 0.423149, 0.324569, -0.284798, 0.215150, 0.502094, 0.162428, 0.000000, 0.000000], [0.001371, 0.492993, -0.271435, -0.256715, 0.413397, 0.158769, -0.180897, 0.623337, 0.000000, 0.000000], [0.389149, -0.238433, -0.203076, 0.468734, -0.402722, -0.176701, -0.142519, 0.563064, 0.000000, 0.000000], [0.555214, -0.083212, 0.722584, -0.228121, 0.137485, 0.095168, -0.272882, 0.090681, 0.000000, 0.000000], [0.418388, 0.042465, -0.362353, -0.299251, -0.379500, 0.639966, 0.094713, -0.199371, 0.000000, 0.000000], [0.035100, 0.213639, -0.045656, 0.635482, 0.241744, 0.351693, -0.509401, -0.324943, 0.000000, 0.000000], [0.215585, -0.392360, -0.075488, 0.249670, 0.586089, 0.251514, 0.562694, 0.090333, 0.000000, 0.000000], [0.557664, 0.434309, -0.211701, 0.035764, 0.144725, -0.540110, 0.187931, -0.326049, 0.000000, 0.000000]]
fourier: [[41.484955, 44.251340, 44.544821, 45.490919, 100.819424], [2.514579, 2.531029, 2.570670, 2.760051, 57.362392], [199.642859, 211.416867, 211.814925, 217.161312, 831.792228], [285.761661, 300.850520, 301.693542, 309.327347, 1175.530751], [215.523184, 226.231344, 227.526507, 233.647447, 870.457318], [17.979098, 18.893792, 19.115893, 19.520849, 103.045229], [110.579310, 117.419935, 117.594401, 120.397536, 454.759660], [287.346076, 301.171723, 303.029177, 311.186414, 1193.601979]]
### 12
mean: [-16.078194]
std: [21.312145]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[351.991437, 373.888053, 374.159367, 383.646275, 1447.037414]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.759844,
0.086936,
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[
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[
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[
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[
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[
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[
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[
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[
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[
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0.062786,
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0.127767,
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[
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0.205328,
0.489509,
0.513111,
0.483929,
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],
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0.305878,
0.586698,
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0.04123
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],
"network.4.bias": [
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],
"network.6.weight": [
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0.215293,
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],
[
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0.382833,
0.224909,
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[
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0.279884,
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0.09009
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"network.6.bias": [
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[
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0.54177,
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],
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0.155879,
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0.311622,
0.648568,
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],
[
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0.410017,
0.010367,
0.279495,
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0.111493,
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],
[
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0.082536,
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0.144859,
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0.036417,
0.117045
]
],
"network.8.bias": [
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],
"network.10.weight": [
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],
[
0.025243,
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-0.246671,
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0.392845,
0.434527,
-0.33041,
-0.164941
],
[
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0.474015,
0.630455,
0.256068,
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0.031212,
0.323192,
0.005166
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0.477039,
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0.083928,
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0.016653
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[
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[
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]
],
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"network.12.weight": [
[
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0.065334,
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]
],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [2.630450, 0.389828, -0.923945, 0.014149, 1.413649, 2.318503, 1.849150, 0.230328]
std: [2.049630, 1.273951, 1.132045, 1.257956, 1.201447, 2.379035, 2.154759, 1.646311]
pca: [[0.427948, -0.569549, -0.131741, -0.097132, -0.272683, 0.611217, -0.076373, -0.109128, 0.000000, 0.000000], [0.240061, 0.077204, -0.021307, 0.704342, -0.374144, -0.256904, -0.155445, -0.457944, 0.000000, 0.000000], [-0.126726, -0.038171, 0.761800, -0.369165, -0.239020, -0.032036, -0.022589, -0.455186, 0.000000, 0.000000], [0.234197, 0.447554, 0.002314, -0.015971, -0.273955, 0.227542, 0.785972, 0.002931, 0.000000, 0.000000], [0.208930, -0.316789, -0.379223, -0.397498, 0.037487, -0.592638, 0.297065, -0.336608, 0.000000, 0.000000], [0.557205, 0.099588, 0.264756, 0.102793, 0.743654, 0.074201, 0.017040, -0.200315, 0.000000, 0.000000], [0.508884, -0.071900, 0.328045, -0.051631, -0.271375, -0.381849, -0.099096, 0.629536, 0.000000, 0.000000], [0.274285, 0.593674, -0.283420, -0.432080, -0.159398, 0.071262, -0.503373, -0.146387, 0.000000, 0.000000]]
fourier: [[35.045347, 35.377525, 37.142258, 40.849540, 236.740502], [20.328754, 20.356981, 21.854782, 23.091012, 35.084531], [17.386541, 17.581300, 17.768432, 18.047840, 83.155058], [18.563970, 19.472864, 19.623982, 20.647397, 25.945065], [19.374050, 19.513362, 23.782758, 24.060894, 127.228400], [36.970486, 40.354886, 40.435810, 46.093851, 208.665253], [36.414731, 37.193781, 38.583567, 38.681866, 166.423507], [24.853748, 25.297972, 25.992896, 28.255604, 35.222468]]
### 2
mean: [1.759164, 1.720895, -0.560970, 3.871324, -2.311664, 3.560823, -1.457900, -2.254467]
std: [2.240555, 2.248647, 0.768131, 3.455178, 1.870942, 3.736138, 1.294068, 2.141612]
pca: [[0.330062, -0.228497, -0.391203, 0.402869, -0.122597, 0.043700, 0.701272, -0.121585, 0.000000, 0.000000], [0.319537, -0.480527, 0.673208, -0.244700, 0.066202, 0.126865, 0.257708, 0.258867, 0.000000, 0.000000], [-0.058149, 0.451296, 0.597162, 0.525608, -0.343272, -0.069083, 0.124126, -0.148556, 0.000000, 0.000000], [0.511179, 0.524631, -0.007112, 0.075328, 0.576218, 0.326436, -0.012610, 0.137789, 0.000000, 0.000000], [-0.277018, -0.214177, -0.070815, 0.550758, 0.077875, 0.210128, -0.173587, 0.699063, 0.000000, 0.000000], [0.557001, -0.325204, -0.007870, 0.334425, -0.112884, -0.150888, -0.616278, -0.238287, 0.000000, 0.000000], [-0.191681, -0.158796, 0.039131, 0.037168, -0.077154, 0.859247, -0.101743, -0.424875, 0.000000, 0.000000], [-0.317078, -0.247246, 0.174613, 0.281648, 0.711312, -0.255804, 0.077165, -0.388795, 0.000000, 0.000000]]
fourier: [[37.581353, 40.692392, 41.037185, 41.689957, 158.324771], [36.156134, 36.752621, 37.241951, 37.846333, 154.880562], [11.025474, 12.303649, 14.142943, 14.461871, 50.487292], [57.755546, 62.951900, 64.630284, 65.298067, 348.419135], [31.049945, 31.829031, 32.612447, 36.467680, 208.049740], [63.485025, 64.514258, 65.359776, 67.805883, 320.474111], [22.112156, 22.994500, 23.489425, 25.603432, 131.210972], [36.152948, 37.524609, 39.863235, 42.191183, 202.902037]]
### 4
mean: [0.193989, 0.867637, 1.129574, -2.549114, 0.856492, 2.840992, 4.835743, 3.534648]
std: [0.213595, 0.390490, 1.081711, 2.386902, 0.409502, 2.802894, 5.509064, 4.028855]
pca: [[-0.016621, 0.332788, -0.100103, 0.319094, -0.494667, -0.037703, 0.583682, -0.436271, 0.000000, 0.000000], [0.045904, 0.019134, -0.481106, 0.112143, 0.631336, 0.334934, 0.036009, -0.491351, 0.000000, 0.000000], [0.131118, 0.625295, 0.547769, -0.111367, 0.078196, 0.474383, -0.187018, -0.115030, 0.000000, 0.000000], [-0.303008, -0.499951, 0.321041, -0.110391, 0.025084, 0.547947, 0.489042, 0.054264, 0.000000, 0.000000], [0.048455, 0.230080, -0.285484, 0.508219, 0.033947, 0.337799, 0.110465, 0.690988, 0.000000, 0.000000], [0.357619, 0.097058, 0.310200, 0.003489, 0.522334, -0.417877, 0.541591, 0.160240, 0.000000, 0.000000], [0.703286, -0.081688, -0.293655, -0.498179, -0.261984, 0.257728, 0.147664, 0.086236, 0.000000, 0.000000], [0.513576, -0.422980, 0.302390, 0.595428, -0.085765, 0.077198, -0.237807, -0.203684, 0.000000, 0.000000]]
fourier: [[3.330439, 3.416589, 3.733256, 4.064034, 17.459001], [6.885570, 7.034901, 7.620849, 7.881002, 78.087298], [18.043697, 19.878933, 20.512503, 20.590849, 101.661672], [42.199747, 43.258907, 43.762318, 44.952512, 229.420316], [7.759410, 8.027164, 8.256591, 8.506880, 77.084268], [48.560635, 49.172108, 49.275274, 50.452453, 255.689315], [94.187044, 96.093008, 97.728415, 98.798972, 435.216904], [67.890779, 68.900564, 69.686354, 71.163355, 318.118342]]
### 6
mean: [1.855223, 0.874541, 3.361024, 5.053164, 3.592256, 2.471247, 0.878310, 0.851133]
std: [2.641752, 0.183735, 4.437941, 6.087770, 4.206460, 2.971811, 0.401190, 0.541060]
pca: [[0.277113, -0.550146, -0.089342, -0.572558, -0.275953, -0.336449, 0.089112, 0.295727, 0.000000, 0.000000], [0.011711, 0.629710, 0.073739, -0.110935, -0.278789, -0.312414, 0.618633, 0.165987, 0.000000, 0.000000], [0.466112, -0.037083, -0.068584, -0.023810, 0.745241, -0.245983, 0.311790, -0.250975, 0.000000, 0.000000], [0.639278, 0.334422, -0.453766, -0.043892, -0.318370, 0.159842, -0.309789, -0.220858, 0.000000, 0.000000], [0.441664, -0.093299, 0.517331, 0.039247, -0.055093, 0.632386, 0.263893, 0.233387, 0.000000, 0.000000], [0.312014, -0.121201, 0.316031, 0.653955, -0.202486, -0.518667, -0.188743, 0.121594, 0.000000, 0.000000], [0.039299, 0.272425, 0.630401, -0.473241, 0.055072, -0.184339, -0.429967, -0.284591, 0.000000, 0.000000], [0.056310, 0.299970, -0.105169, -0.064985, 0.377246, -0.015286, -0.355015, 0.789291, 0.000000, 0.000000]]
fourier: [[44.662954, 45.426216, 45.751558, 47.391500, 166.970091], [2.732085, 3.125901, 3.995638, 3.996440, 78.708653], [75.417751, 76.289200, 76.710161, 79.412796, 302.492138], [103.666781, 104.373263, 105.027966, 108.637258, 454.784786], [72.158962, 72.412726, 73.115311, 75.753861, 323.303051], [50.810184, 51.038827, 51.509487, 53.935948, 222.412226], [7.400133, 7.548867, 7.781860, 8.225667, 79.047880], [9.147216, 9.564523, 9.635921, 9.744990, 76.601987]]
### 8
mean: [2.971091, 6.234611, 5.058650, 6.027530, 0.941238, 4.964199, 2.198161, 0.163075]
std: [3.521415, 7.928007, 6.862509, 7.917860, 0.326108, 6.418307, 3.734610, 0.542557]
pca: [[0.227007, 0.272127, 0.330006, 0.225226, -0.179592, 0.285538, 0.765897, 0.120006, 0.000000, 0.000000], [0.511230, 0.136397, -0.288135, -0.482649, -0.286821, -0.499479, 0.211148, -0.166549, 0.000000, 0.000000], [0.442528, -0.025325, 0.162444, 0.661178, 0.093049, -0.263123, -0.192334, -0.474446, 0.000000, 0.000000], [0.510579, 0.058467, -0.443384, 0.005262, -0.033948, 0.686966, -0.253540, 0.043773, 0.000000, 0.000000], [0.018697, 0.461174, 0.470389, -0.444145, 0.261472, 0.225311, -0.191934, -0.460941, 0.000000, 0.000000], [0.413882, -0.075290, 0.199455, -0.106879, 0.666151, -0.178226, -0.013050, 0.544184, 0.000000, 0.000000], [0.240647, -0.436482, 0.568088, -0.168441, -0.525738, 0.080821, -0.292832, 0.178305, 0.000000, 0.000000], [-0.032103, 0.703148, 0.036379, 0.205133, -0.295202, -0.196905, -0.380505, 0.436405, 0.000000, 0.000000]]
fourier: [[59.743340, 60.198102, 61.396420, 63.627692, 267.398237], [133.124998, 136.856174, 138.724601, 142.963216, 561.115033], [114.934039, 118.789207, 120.522830, 124.310061, 455.278568], [132.510589, 136.976058, 138.849958, 142.940156, 542.477696], [5.183228, 6.550149, 6.727087, 6.764862, 84.711383], [107.903272, 110.851680, 112.569440, 116.145128, 446.777942], [62.337995, 65.558040, 65.609941, 67.744426, 197.834508], [8.374981, 9.361230, 9.405432, 10.238218, 14.676783]]
### 10
mean: [-1.120216, 0.637360, 9.242136, 13.061453, 9.671748, 1.144947, 5.052885, 13.262245]
std: [2.511139, 0.151530, 12.047434, 17.188280, 12.952418, 1.088941, 6.675039, 17.264498]
pca: [[-0.080942, 0.550607, 0.423149, 0.324569, -0.284798, 0.215150, 0.502094, 0.162428, 0.000000, 0.000000], [0.001371, 0.492993, -0.271435, -0.256715, 0.413397, 0.158769, -0.180897, 0.623337, 0.000000, 0.000000], [0.389149, -0.238433, -0.203076, 0.468734, -0.402722, -0.176701, -0.142519, 0.563064, 0.000000, 0.000000], [0.555214, -0.083212, 0.722584, -0.228121, 0.137485, 0.095168, -0.272882, 0.090681, 0.000000, 0.000000], [0.418388, 0.042465, -0.362353, -0.299251, -0.379500, 0.639966, 0.094713, -0.199371, 0.000000, 0.000000], [0.035100, 0.213639, -0.045656, 0.635482, 0.241744, 0.351693, -0.509401, -0.324943, 0.000000, 0.000000], [0.215585, -0.392360, -0.075488, 0.249670, 0.586089, 0.251514, 0.562694, 0.090333, 0.000000, 0.000000], [0.557664, 0.434309, -0.211701, 0.035764, 0.144725, -0.540110, 0.187931, -0.326049, 0.000000, 0.000000]]
fourier: [[41.484955, 44.251340, 44.544821, 45.490919, 100.819424], [2.514579, 2.531029, 2.570670, 2.760051, 57.362392], [199.642859, 211.416867, 211.814925, 217.161312, 831.792228], [285.761661, 300.850520, 301.693542, 309.327347, 1175.530751], [215.523184, 226.231344, 227.526507, 233.647447, 870.457318], [17.979098, 18.893792, 19.115893, 19.520849, 103.045229], [110.579310, 117.419935, 117.594401, 120.397536, 454.759660], [287.346076, 301.171723, 303.029177, 311.186414, 1193.601979]]
### 12
mean: [-16.078194]
std: [21.312145]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[351.991437, 373.888053, 374.159367, 383.646275, 1447.037414]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.759844, 0.086936, 0.199559, 0.479826, 0.051195], [0.354019, 0.440826, -0.031831, -0.073017, -0.266314], [-0.121439, -0.03394, -0.319196, -0.225049, 0.530855], [0.339085, 0.132745, 0.243743, -0.338407, -0.179535], [0.384562, -0.2189, 0.309718, 0.385391, -0.042445], [0.561048, 0.615408, 0.506736, -0.188361, 0.090226], [0.777739, 0.361446, 0.229415, -0.062877, 0.140864], [0.403124, -0.120034, 0.52923, -0.335106, -0.279403]], "network.0.bias": [0.017491, -0.302485, -0.216328, -0.211745, -0.087101, -0.266964, -0.295455, -0.094899], "network.2.weight": [[0.005904, 0.102411, -0.134058, 0.628631, 0.343306, 0.247926, 0.229723, 0.387243], [0.146875, 0.52944, -0.320463, 0.294058, -0.263137, 0.334884, 0.3846, -0.150615], [0.131581, 0.408546, 0.169213, 0.139631, 0.296205, -0.125105, -0.286525, -0.533768], [0.554166, 0.094215, -0.216391, 0.114024, 0.534857, 0.249591, 0.416796, 0.343134], [-0.329247, 0.062786, -0.016355, 0.054357, -0.122613, -0.345744, -0.169759, -0.094988], [-0.001301, 0.583064, -0.137518, 0.439236, 0.495596, 0.333969, 0.647176, 0.436664], [-0.117257, 0.073653, -0.127946, -0.425831, -0.282689, -0.145777, -0.161648, 0.100313], [-0.285403, -0.106432, -0.127684, 0.277778, -0.346446, -0.385371, -0.054529, -0.476683]], "network.2.bias": [-0.285972, -0.077439, -0.431935, 0.053631, -0.177574, 0.142139, -0.068337, 0.222162], "network.4.weight": [[-0.073093, -0.231594, -0.627749, 0.126917, -0.495188, 0.027954, -0.279286, -0.08691], [0.123697, -0.109727, -0.070254, -0.090084, -0.478449, 0.179798, -0.490067, -0.506764], [-0.013455, -0.098292, 0.134127, 0.433269, 0.266598, -0.062076, 0.109214, 0.450772], [-0.412532, 0.053426, 0.481201, -0.428255, 0.369556, -0.038809, 0.44286, 0.403335], [-0.058907, -0.212729, -0.509065, 0.063617, -0.360824, 0.204215, -0.372771, -0.621202], [0.124619, 0.247417, 0.511695, 0.363654, -0.081192, 0.203924, 0.127767, 0.172393], [0.522419, 0.404169, 0.205328, 0.489509, 0.513111, 0.483929, -0.230322, 0.267423], [-0.126598, 0.473774, 0.321269, 0.305878, 0.586698, 0.593638, -0.325528, 0.04123]], "network.4.bias": [0.054012, 0.460909, -0.08133, -0.04545, 0.269836, 0.113552, -0.324979, -0.291505], "network.6.weight": [[-0.135002, -0.0946, -0.115667, 0.383187, -0.325384, -0.064118, 0.215293, 0.471867], [0.003458, -0.179898, 0.169256, -0.555081, 0.382833, 0.224909, -0.059686, -0.107967], [-0.508166, -0.257033, 0.166291, -0.129649, -0.569965, 0.242102, 0.487774, 0.296007], [-0.398966, -0.576353, 0.340843, 0.375174, -0.555391, 0.555536, 0.393162, 0.59495], [-0.633163, -0.035722, 0.072524, 0.279884, -0.030573, 0.091634, 0.564748, 0.183863], [0.038173, -0.052557, 0.176653, -0.125527, -0.645529, -0.27843, 0.647337, 0.07581], [0.343333, 0.481189, 0.049097, -0.461549, 0.160871, 0.040444, 0.023067, -0.029462], [-0.022386, 0.119586, 0.191419, -0.107871, -0.103127, 0.188023, -0.101944, 0.09009]], "network.6.bias": [-0.21432, 0.564228, -0.248623, 0.021685, 0.019662, 0.143202, 0.174411, 0.284802], "network.8.weight": [[-0.15441, 0.151475, 0.294629, 0.034804, 0.49556, 0.117744, -0.278777, 0.149249], [0.259331, -0.365003, 0.470059, 0.697667, 0.315225, -0.029487, -0.203845, -0.207305], [0.049819, -0.237642, 0.574248, 0.292065, 0.315098, 0.54177, -0.505241, -0.4261], [0.200531, -0.398386, 0.553902, 0.578024, 0.312962, 0.155879, -0.485465, -0.077526], [-0.016195, 0.612154, -0.439139, 0.070133, 0.190199, 0.258803, 0.082089, 0.26328], [0.5407, -0.014007, 0.027659, 0.326558, 0.311622, 0.648568, -0.510302, -0.183705], [0.380434, -0.723092, 0.410017, 0.010367, 0.279495, -0.041689, 0.111493, -0.194407], [-0.649716, 0.683241, 0.082536, 0.053878, 0.144859, -0.092966, 0.036417, 0.117045]], "network.8.bias": [-0.00404, 0.060168, -0.121868, -0.024164, 0.128374, -0.022375, -0.32203, -0.044236], "network.10.weight": [[0.083829, 0.202487, -0.132494, -0.119965, 0.021983, -0.163606, -0.420514, 0.246886], [0.025243, 0.027139, -0.246671, -0.044855, 0.392845, 0.434527, -0.33041, -0.164941], [0.262955, 0.474015, 0.630455, 0.256068, -0.581935, 0.031212, 0.323192, 0.005166], [0.265363, 0.653229, 0.477039, 0.598068, -0.333138, 0.245222, 0.528847, 0.392114], [0.505813, 0.387249, 0.465429, 0.145606, -0.264156, 0.480467, 0.249377, -0.03554], [0.128942, 0.077505, -0.281552, 0.245277, -0.176875, 0.083928, -0.133743, 0.016653], [0.240541, 0.196104, 0.024687, 0.431289, -0.354221, -0.143977, 0.49909, -0.089878], [0.509034, 0.61513, 0.513813, 0.568448, -0.148523, 0.423338, 0.023059, -0.101462]], "network.10.bias": [0.567492, 0.294795, 0.113488, -0.366515, -0.408394, 0.272124, 0.121789, -0.36716], "network.12.weight": [[0.514405, 0.521019, -0.092341, -0.367654, -0.521106, 0.302261, 0.065334, -0.466849]], "network.12.bias": [0.090097]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6886162161827087, "train_acc": 0.555, "val_loss": 0.6754939556121826, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6831688582897186, "train_acc": 0.555, "val_loss": 0.6377788782119751, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6393401026725769, "train_acc": 0.48, "val_loss": 0.5135746598243713, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4798297882080078, "train_acc": 0.57, "val_loss": 0.41186368465423584, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.39730730652809143, "train_acc": 0.88, "val_loss": 0.28270405530929565, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.33499373495578766, "train_acc": 0.91, "val_loss": 0.2082303762435913, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.30892157554626465, "train_acc": 0.895, "val_loss": 0.30163460969924927, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.30547386407852173, "train_acc": 0.885, "val_loss": 0.22765102982521057, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.22224779427051544, "train_acc": 0.93, "val_loss": 0.608394205570221, "val_acc": 0.76}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6754939556121826, "final_val_loss": 0.6377788782119751, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.5135746598243713, "final_val_loss": 0.608394205570221, "initial_val_acc": 0.58, "final_val_acc": 0.76, "best_val_acc": 0.94, "best_epoch": 5}, "improvement": 0.36, "first_improvement_epoch": 1}}
|
179
|
{"target_pattern": "alternating", "degraded_accuracy": 0.72, "improved_accuracy": 0.98, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4021, "learning_rate": 0.03750599718164296, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.87173,
0.311792,
-0.976925,
0.274538,
-0.426549
],
[
0.822086,
-0.325119,
-0.712247,
0.318772,
-0.215723
],
[
0.0976,
0.410015,
-0.275008,
0.651176,
0.097501
],
[
-0.533734,
-0.128063,
0.839178,
-0.018845,
-0.463259
],
[
-0.475107,
0.280837,
0.510723,
0.014568,
0.177218
]
],
"network.0.bias": [
0.398194,
-0.316986,
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0.231587,
-0.183701
],
"network.2.weight": [
[
0.765776,
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0.290936,
-0.335934,
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],
[
0.630318,
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-0.007465,
0.019527,
-0.840468
],
[
-0.367957,
0.432048,
0.483572,
1.022522,
0.172063
],
[
0.228944,
-0.008942,
0.283098,
0.508125,
-0.192288
],
[
-0.157049,
0.71186,
0.120704,
0.66603,
0.256287
]
],
"network.2.bias": [
0.043415,
0.571782,
0.259589,
-0.047297,
-0.029142
],
"network.4.weight": [
[
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0.27612,
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-0.323101
],
[
-0.025263,
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0.765522,
0.114075,
-0.012383
],
[
0.62009,
0.755398,
-0.212715,
-0.01653,
0.066445
],
[
0.701225,
0.347452,
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0.483237,
-0.305492
],
[
0.593961,
0.362521,
-0.339187,
-0.070881,
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]
],
"network.4.bias": [
0.001064,
0.220436,
-0.296572,
0.45211,
0.62546
],
"network.6.weight": [
[
-0.229704,
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0.490029,
0.657715,
0.67105
],
[
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0.392153,
-0.574226
],
[
0.099229,
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0.679727,
0.031908,
0.011544
],
[
0.270493,
0.300612,
0.003557,
0.118604,
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],
[
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0.248459
]
],
"network.6.bias": [
-0.082242,
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0.485842
],
"network.8.weight": [
[
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],
[
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0.127233
],
[
0.451501,
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],
[
0.817714,
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],
[
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]
],
"network.8.bias": [
0.535728,
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0.300541,
0.055725
],
"network.10.weight": [
[
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0.735952,
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]
],
"network.10.bias": [
-0.430231
]
}
## Activation Signature
### 0
mean: [-2.096504, -0.956660, 2.183742, 0.475211, 1.053454]
std: [3.204367, 1.852339, 1.821627, 1.802000, 1.274017]
pca: [[0.925848, -0.350513, -0.107035, -0.069382, 0.060629, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.213810, 0.607733, -0.192962, 0.531026, 0.515483, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.220752, 0.219488, 0.875954, 0.245235, -0.275060, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.165084, -0.587621, -0.053445, 0.787230, -0.069720, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.145283, -0.338124, 0.425626, -0.182553, 0.806277, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[56.203990, 61.302245, 63.390435, 64.481970, 188.685407], [26.734623, 29.808179, 30.113264, 31.547096, 86.099421], [27.749035, 28.726824, 29.816424, 37.870397, 196.536810], [26.561438, 27.040413, 30.501416, 34.122427, 42.769002], [19.911547, 20.600297, 21.861585, 22.356809, 94.810865]]
### 2
mean: [-0.519475, -0.332884, 2.356188, 0.833079, 1.187846]
std: [1.616534, 1.063551, 1.646041, 0.658555, 1.174116]
pca: [[-0.553446, 0.636549, -0.395031, 0.325824, -0.162149, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.368411, 0.240838, 0.840435, -0.199424, -0.245296, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.587965, 0.530614, -0.119203, -0.402887, -0.442965, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.143067, 0.486669, 0.141064, -0.117727, 0.841978, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.437950, 0.135664, 0.321732, 0.823341, -0.091611, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.012486, 25.844294, 31.553228, 36.691167, 46.752767], [16.926900, 18.764699, 19.001819, 23.369590, 29.959522], [25.577908, 26.302935, 26.885770, 31.265411, 212.056893], [8.900165, 11.363373, 11.450956, 11.927840, 74.977111], [18.111150, 21.707098, 21.997299, 23.666891, 106.906181]]
### 4
mean: [0.202937, 2.004193, -0.431124, -0.967810, -0.590976]
std: [0.207008, 1.395267, 0.914969, 1.734140, 1.522626]
pca: [[-0.053081, -0.030675, 0.584476, -0.252117, 0.768809, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.469627, 0.735365, 0.394460, 0.103600, -0.268993, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.287936, 0.629052, -0.516013, -0.402361, 0.305323, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.625114, 0.249913, 0.189154, 0.701145, 0.139257, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.550417, 0.011570, 0.448041, -0.521733, -0.473245, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.113810, 3.145174, 3.164331, 3.273123, 18.264335], [22.113131, 22.405712, 23.033911, 26.225071, 180.377382], [12.594244, 15.543726, 15.695185, 17.844250, 38.801197], [26.275959, 27.554317, 29.497808, 34.429068, 87.102932], [23.752018, 24.729531, 27.219790, 30.025861, 53.187873]]
### 6
mean: [-0.507326, 0.693109, -0.015034, 0.415121, 0.165424]
std: [1.490157, 1.005753, 0.572833, 0.556359, 0.535037]
pca: [[0.743450, 0.534362, -0.351900, -0.108870, 0.161411, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.473539, 0.718653, -0.143108, 0.033359, -0.487551, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.283917, 0.204801, 0.871756, -0.238602, -0.246087, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.262248, 0.392476, 0.296407, 0.315856, 0.767832, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.271404, -0.044882, 0.088719, 0.911229, -0.293455, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.351973, 22.438428, 24.589604, 24.800289, 45.659297], [16.025861, 16.113910, 17.196485, 17.915069, 62.379808], [8.626763, 8.722787, 9.178058, 9.252660, 10.032881], [8.769822, 8.851609, 9.274794, 9.754614, 37.360843], [7.708111, 7.717327, 9.125105, 9.489581, 14.888125]]
### 8
mean: [0.281876, -0.196976, 0.117710, 0.086488, -0.527422]
std: [1.584107, 1.000486, 0.993566, 1.364766, 0.530966]
pca: [[0.627671, 0.187052, -0.323459, -0.056325, 0.680619, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.396991, -0.063584, 0.213270, 0.873062, -0.175028, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.393734, -0.104373, -0.625463, -0.163191, -0.645170, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.541552, -0.074462, 0.674537, -0.455762, -0.196107, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.011056, 0.971869, 0.060718, 0.015515, -0.226760, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.189327, 24.476826, 24.799722, 25.368868, 28.128846], [15.228000, 16.028465, 16.472183, 17.561253, 17.727825], [14.201817, 14.886299, 15.706184, 16.385871, 16.947176], [19.806292, 20.661510, 21.749657, 22.363121, 23.867716], [8.546045, 9.071471, 9.128883, 11.135034, 47.467974]]
### 10
mean: [0.479896]
std: [2.574209]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.363156, 37.780598, 43.190632, 44.074754, 46.978562]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.87173,
0.311792,
-0.976925,
0.274538,
-0.426549
],
[
0.822086,
-0.325119,
-0.712247,
0.318772,
-0.215723
],
[
0.0976,
0.410015,
-0.275008,
0.651176,
0.097501
],
[
-0.533734,
-0.128063,
0.839178,
-0.018845,
-0.463259
],
[
-0.475107,
0.280837,
0.510723,
0.014568,
0.177218
]
],
"network.0.bias": [
0.398194,
-0.316986,
0.372947,
0.231587,
-0.183701
],
"network.2.weight": [
[
0.765776,
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0.290936,
-0.335934,
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],
[
0.630318,
-0.614986,
-0.007465,
0.019527,
-0.840468
],
[
-0.367957,
0.432048,
0.483572,
1.022522,
0.172063
],
[
0.228944,
-0.008942,
0.283098,
0.508125,
-0.192288
],
[
-0.157049,
0.71186,
0.120704,
0.66603,
0.256287
]
],
"network.2.bias": [
0.043415,
0.571782,
0.259589,
-0.047297,
-0.029142
],
"network.4.weight": [
[
-0.095965,
-0.120667,
0.27612,
-0.035641,
-0.323101
],
[
-0.025263,
-0.225799,
0.765522,
0.114075,
-0.012383
],
[
0.62009,
0.755398,
-0.212715,
-0.01653,
0.066445
],
[
0.701225,
0.347452,
-0.727926,
0.483237,
-0.305492
],
[
0.593961,
0.362521,
-0.339187,
-0.070881,
-0.537916
]
],
"network.4.bias": [
0.001064,
0.220436,
-0.296572,
0.45211,
0.62546
],
"network.6.weight": [
[
-0.229704,
-0.390955,
0.490029,
0.657715,
0.67105
],
[
0.19789,
0.577289,
-0.303588,
0.392153,
-0.574226
],
[
0.099229,
-0.191346,
0.679727,
0.031908,
0.011544
],
[
0.270493,
0.300612,
0.003557,
0.118604,
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],
[
0.162349,
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0.126718,
0.142955,
0.248459
]
],
"network.6.bias": [
-0.082242,
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0.275446,
-0.139243,
0.485842
],
"network.8.weight": [
[
0.645764,
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0.424731,
-0.469681,
0.66175
],
[
0.718575,
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0.061675,
0.127233
],
[
0.451501,
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0.665001
],
[
0.817714,
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0.425311,
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],
[
-0.622676,
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0.299911,
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0.03912
]
],
"network.8.bias": [
0.535728,
-0.075453,
0.080623,
0.300541,
0.055725
],
"network.10.weight": [
[
0.499972,
0.726298,
0.735952,
0.716464,
0.306165
]
],
"network.10.bias": [
-0.430231
]
}
## Activation Signature
### 0
mean: [-2.096504, -0.956660, 2.183742, 0.475211, 1.053454]
std: [3.204367, 1.852339, 1.821627, 1.802000, 1.274017]
pca: [[0.925848, -0.350513, -0.107035, -0.069382, 0.060629, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.213810, 0.607733, -0.192962, 0.531026, 0.515483, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.220752, 0.219488, 0.875954, 0.245235, -0.275060, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.165084, -0.587621, -0.053445, 0.787230, -0.069720, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.145283, -0.338124, 0.425626, -0.182553, 0.806277, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[56.203990, 61.302245, 63.390435, 64.481970, 188.685407], [26.734623, 29.808179, 30.113264, 31.547096, 86.099421], [27.749035, 28.726824, 29.816424, 37.870397, 196.536810], [26.561438, 27.040413, 30.501416, 34.122427, 42.769002], [19.911547, 20.600297, 21.861585, 22.356809, 94.810865]]
### 2
mean: [-0.519475, -0.332884, 2.356188, 0.833079, 1.187846]
std: [1.616534, 1.063551, 1.646041, 0.658555, 1.174116]
pca: [[-0.553446, 0.636549, -0.395031, 0.325824, -0.162149, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.368411, 0.240838, 0.840435, -0.199424, -0.245296, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.587965, 0.530614, -0.119203, -0.402887, -0.442965, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.143067, 0.486669, 0.141064, -0.117727, 0.841978, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.437950, 0.135664, 0.321732, 0.823341, -0.091611, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.012486, 25.844294, 31.553228, 36.691167, 46.752767], [16.926900, 18.764699, 19.001819, 23.369590, 29.959522], [25.577908, 26.302935, 26.885770, 31.265411, 212.056893], [8.900165, 11.363373, 11.450956, 11.927840, 74.977111], [18.111150, 21.707098, 21.997299, 23.666891, 106.906181]]
### 4
mean: [0.202937, 2.004193, -0.431124, -0.967810, -0.590976]
std: [0.207008, 1.395267, 0.914969, 1.734140, 1.522626]
pca: [[-0.053081, -0.030675, 0.584476, -0.252117, 0.768809, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.469627, 0.735365, 0.394460, 0.103600, -0.268993, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.287936, 0.629052, -0.516013, -0.402361, 0.305323, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.625114, 0.249913, 0.189154, 0.701145, 0.139257, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.550417, 0.011570, 0.448041, -0.521733, -0.473245, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.113810, 3.145174, 3.164331, 3.273123, 18.264335], [22.113131, 22.405712, 23.033911, 26.225071, 180.377382], [12.594244, 15.543726, 15.695185, 17.844250, 38.801197], [26.275959, 27.554317, 29.497808, 34.429068, 87.102932], [23.752018, 24.729531, 27.219790, 30.025861, 53.187873]]
### 6
mean: [-0.507326, 0.693109, -0.015034, 0.415121, 0.165424]
std: [1.490157, 1.005753, 0.572833, 0.556359, 0.535037]
pca: [[0.743450, 0.534362, -0.351900, -0.108870, 0.161411, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.473539, 0.718653, -0.143108, 0.033359, -0.487551, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.283917, 0.204801, 0.871756, -0.238602, -0.246087, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.262248, 0.392476, 0.296407, 0.315856, 0.767832, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.271404, -0.044882, 0.088719, 0.911229, -0.293455, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.351973, 22.438428, 24.589604, 24.800289, 45.659297], [16.025861, 16.113910, 17.196485, 17.915069, 62.379808], [8.626763, 8.722787, 9.178058, 9.252660, 10.032881], [8.769822, 8.851609, 9.274794, 9.754614, 37.360843], [7.708111, 7.717327, 9.125105, 9.489581, 14.888125]]
### 8
mean: [0.281876, -0.196976, 0.117710, 0.086488, -0.527422]
std: [1.584107, 1.000486, 0.993566, 1.364766, 0.530966]
pca: [[0.627671, 0.187052, -0.323459, -0.056325, 0.680619, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.396991, -0.063584, 0.213270, 0.873062, -0.175028, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.393734, -0.104373, -0.625463, -0.163191, -0.645170, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.541552, -0.074462, 0.674537, -0.455762, -0.196107, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.011056, 0.971869, 0.060718, 0.015515, -0.226760, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.189327, 24.476826, 24.799722, 25.368868, 28.128846], [15.228000, 16.028465, 16.472183, 17.561253, 17.727825], [14.201817, 14.886299, 15.706184, 16.385871, 16.947176], [19.806292, 20.661510, 21.749657, 22.363121, 23.867716], [8.546045, 9.071471, 9.128883, 11.135034, 47.467974]]
### 10
mean: [0.479896]
std: [2.574209]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.363156, 37.780598, 43.190632, 44.074754, 46.978562]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.0965044498443604, "std": 3.204367160797119, "pca": [0.9258478879928589, -0.3505130410194397, -0.10703510791063309, -0.0693824514746666, 0.060628749430179596, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [56.203989814700584, 61.302244770869024, 63.3904348952195, 64.48196980976499, 188.6854072213173]}, "1": {"mean": -0.9566602110862732, "std": 1.8523390293121338, "pca": [0.2138097882270813, 0.607732892036438, -0.19296230375766754, 0.5310258865356445, 0.5154833793640137, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [26.734623174203648, 29.808179263893116, 30.113264128893505, 31.547095628834313, 86.09942123293877]}, "2": {"mean": 2.183742046356201, "std": 1.8216273784637451, "pca": [0.22075192630290985, 0.21948766708374023, 0.8759538531303406, 0.24523533880710602, -0.27506035566329956, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [27.74903453290478, 28.726824325957427, 29.81642418283702, 37.87039690115549, 196.53680986166]}, "3": {"mean": 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"layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "6": {"neuron_profiles": {"0": {"mean": -0.5073255300521851, "std": 1.4901572465896606, "pca": [0.743449866771698, 0.5343615412712097, -0.3519003391265869, -0.10886956006288528, 0.16141138970851898, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [22.351972715742225, 22.438427594366768, 24.589603904403123, 24.800289380734693, 45.65929715335369]}, "1": {"mean": 0.6931089758872986, "std": 1.0057533979415894, "pca": [-0.47353893518447876, 0.7186533808708191, -0.14310793578624725, 0.033359095454216, -0.4875505268573761, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [16.025860897919735, 16.113909829319805, 17.196485498832207, 17.91506880109052, 62.379807874560356]}, "2": {"mean": -0.015033639967441559, "std": 0.5728331208229065, "pca": [0.2839171886444092, 0.20480071008205414, 0.8717555999755859, -0.23860228061676025, -0.2460869550704956, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [8.626762718210735, 8.722786829713899, 9.178057699215994, 9.252660107227893, 10.032880802251167]}, "3": {"mean": 0.41512054204940796, "std": 0.556358814239502, "pca": [-0.2622476816177368, 0.3924759328365326, 0.2964073419570923, 0.3158559799194336, 0.767832338809967, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [8.769821807638701, 8.851609035567199, 9.274793707976892, 9.75461387987864, 37.360842511057854]}, "4": {"mean": 0.16542361676692963, "std": 0.5350367426872253, "pca": [0.2714044749736786, -0.04488208889961243, 0.08871925622224808, 0.911229133605957, -0.29345452785491943, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [7.708110924951085, 7.717326574277848, 9.12510477832969, 9.489580936292514, 14.888125449419022]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": 0.2818762958049774, "std": 1.5841065645217896, "pca": [0.6276707053184509, 0.18705232441425323, -0.32345908880233765, -0.056324899196624756, 0.6806192994117737, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [24.1893270991528, 24.47682622923973, 24.799722181087095, 25.3688682615757, 28.128846451216937]}, "1": {"mean": -0.19697584211826324, "std": 1.0004860162734985, "pca": [0.39699119329452515, -0.06358364969491959, 0.21326959133148193, 0.8730615973472595, -0.17502763867378235, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [15.228000371699952, 16.02846500270707, 16.47218264101911, 17.561252802376277, 17.72782502323389]}, "2": {"mean": 0.11770995706319809, "std": 0.993565559387207, "pca": [0.393733948469162, -0.10437306761741638, -0.6254628300666809, -0.16319097578525543, -0.6451703906059265, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [14.201816761638547, 14.886298756372268, 15.706183588052529, 16.385871462067232, 16.94717590192088]}, "3": {"mean": 0.08648761361837387, "std": 1.3647664785385132, "pca": [0.5415521860122681, -0.07446198165416718, 0.6745367646217346, -0.45576196908950806, -0.19610653817653656, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [19.80629210392215, 20.66150980154354, 21.74965672717284, 22.36312097121674, 23.867715888278646]}, "4": {"mean": -0.5274219512939453, "std": 0.5309658646583557, "pca": [-0.011055860668420792, 0.9718694686889648, 0.06071814149618149, 0.015514904633164406, -0.22676008939743042, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [8.546044642437252, 9.071471275024297, 9.12888335928715, 11.13503444901497, 47.467974388971925]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": 0.4798959195613861, "std": 2.574208974838257, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [36.363155542133285, 37.78059809388836, 43.19063179194927, 44.07475400714266, 46.97856202953687]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.87173, 0.311792, -0.976925, 0.274538, -0.426549], [0.822086, -0.325119, -0.712247, 0.318772, -0.215723], [0.0976, 0.410015, -0.275008, 0.651176, 0.097501], [-0.533734, -0.128063, 0.839178, -0.018845, -0.463259], [-0.475107, 0.280837, 0.510723, 0.014568, 0.177218]], "network.0.bias": [0.398194, -0.316986, 0.372947, 0.231587, -0.183701], "network.2.weight": [[0.765776, -0.788106, 0.290936, -0.335934, -0.845587], [0.630318, -0.614986, -0.007465, 0.019527, -0.840468], [-0.367957, 0.432048, 0.483572, 1.022522, 0.172063], [0.228944, -0.008942, 0.283098, 0.508125, -0.192288], [-0.157049, 0.71186, 0.120704, 0.66603, 0.256287]], "network.2.bias": [0.043415, 0.571782, 0.259589, -0.047297, -0.029142], "network.4.weight": [[-0.095965, -0.120667, 0.27612, -0.035641, -0.323101], [-0.025263, -0.225799, 0.765522, 0.114075, -0.012383], [0.62009, 0.755398, -0.212715, -0.01653, 0.066445], [0.701225, 0.347452, -0.727926, 0.483237, -0.305492], [0.593961, 0.362521, -0.339187, -0.070881, -0.537916]], "network.4.bias": [0.001064, 0.220436, -0.296572, 0.45211, 0.62546], "network.6.weight": [[-0.229704, -0.390955, 0.490029, 0.657715, 0.67105], [0.19789, 0.577289, -0.303588, 0.392153, -0.574226], [0.099229, -0.191346, 0.679727, 0.031908, 0.011544], [0.270493, 0.300612, 0.003557, 0.118604, -0.371307], [0.162349, -0.23135, 0.126718, 0.142955, 0.248459]], "network.6.bias": [-0.082242, -0.375838, 0.275446, -0.139243, 0.485842], "network.8.weight": [[0.645764, -0.612059, 0.424731, -0.469681, 0.66175], [0.718575, -0.530306, -0.057189, 0.061675, 0.127233], [0.451501, -0.31529, 0.237947, -0.059137, 0.665001], [0.817714, -0.36234, 0.425311, -0.650852, -0.027476], [-0.622676, -0.270745, 0.299911, -0.610022, 0.03912]], "network.8.bias": [0.535728, -0.075453, 0.080623, 0.300541, 0.055725], "network.10.weight": [[0.499972, 0.726298, 0.735952, 0.716464, 0.306165]], "network.10.bias": [-0.430231]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.688129335641861, "train_acc": 0.56, "val_loss": 0.685263991355896, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6837054789066315, "train_acc": 0.56, "val_loss": 0.6747866868972778, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6675204038619995, "train_acc": 0.605, "val_loss": 0.6289809942245483, "val_acc": 0.72}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.609649121761322, "train_acc": 0.645, "val_loss": 0.5577288269996643, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5724136531352997, "train_acc": 0.675, "val_loss": 0.5400019288063049, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5330314040184021, "train_acc": 0.72, "val_loss": 0.49025222659111023, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.512497752904892, "train_acc": 0.7, "val_loss": 0.47653138637542725, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.48801901936531067, "train_acc": 0.705, "val_loss": 0.4653536081314087, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4757220447063446, "train_acc": 0.74, "val_loss": 0.4502418637275696, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.45536723732948303, "train_acc": 0.745, "val_loss": 0.40656429529190063, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.40196143090724945, "train_acc": 0.87, "val_loss": 0.3396543264389038, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.3406943529844284, "train_acc": 0.92, "val_loss": 0.24501165747642517, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.25020740181207657, "train_acc": 0.92, "val_loss": 0.2244241088628769, "val_acc": 0.98}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.685263991355896, "final_val_loss": 0.6289809942245483, "initial_val_acc": 0.56, "final_val_acc": 0.72, "best_val_acc": 0.72}, "improved_stage": {"initial_val_loss": 0.5577288269996643, "final_val_loss": 0.2244241088628769, "initial_val_acc": 0.72, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 10}, "improvement": 0.26, "first_improvement_epoch": 2}}
|
180
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.48, "improved_accuracy": 0.94, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9163, "learning_rate": 0.06158276720100483, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.888841,
-0.036233,
0.247592,
0.383273,
0.158783
],
[
-0.17789,
-0.050091,
-0.145122,
-0.404254,
0.038958
],
[
-0.014658,
0.042928,
-0.044916,
-0.253029,
0.524443
],
[
-0.965405,
-0.08621,
0.365893,
0.131342,
0.207612
],
[
1.007341,
-0.007535,
-0.167636,
-0.058592,
0.329747
]
],
"network.0.bias": [
0.674304,
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0.705147,
0.41591
],
"network.2.weight": [
[
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0.197645,
0.333722,
-0.619459
],
[
0.698384,
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0.283926,
0.798804,
-0.644094
],
[
-0.041006,
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-0.242615,
0.008346,
-0.329456
],
[
0.584833,
0.004004,
0.481427,
1.024927,
-0.358939
],
[
-0.529442,
-0.267123,
0.257857,
0.147824,
-0.181457
]
],
"network.2.bias": [
0.577191,
0.185019,
-0.440528,
0.048471,
-0.225156
],
"network.4.weight": [
[
0.013209,
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-0.399024,
0.028436,
-0.246324
],
[
0.969408,
0.742456,
-0.204413,
0.735641,
-0.289622
],
[
0.108205,
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-0.394408,
-0.365437,
-0.407646
],
[
-0.682624,
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-0.416645,
0.288188,
0.126795
],
[
-0.021229,
-0.125271,
0.04862,
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-0.10837
]
],
"network.4.bias": [
-0.352201,
0.237891,
-0.536249,
0.602887,
-0.036983
],
"network.6.weight": [
[
0.147424,
1.002659,
0.353276,
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0.395893
],
[
0.446825,
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0.297608,
0.245832,
0.272496
],
[
-0.18381,
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0.765186,
0.37008
],
[
0.401909,
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0.266412,
0.044416,
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],
[
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]
],
"network.6.bias": [
0.257706,
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0.13172
],
"network.8.weight": [
[
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],
[
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0.072838
],
[
1.002691,
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],
[
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],
[
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]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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]
],
"network.10.bias": [
1.034168
]
}
## Activation Signature
### 0
mean: [1.037099, -1.755899, 0.006722, 0.648681, 1.586629]
std: [1.945391, 1.013116, 0.999406, 1.941959, 2.144807]
pca: [[-0.556626, 0.407259, -0.194421, -0.630020, -0.299302, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.054236, -0.426862, 0.704501, -0.193563, -0.530150, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.065345, 0.471562, 0.648123, -0.215984, 0.553757, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.562905, 0.312439, 0.213646, 0.714592, -0.170977, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.605057, 0.576143, 0.013057, 0.091193, -0.541737, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.614881, 35.213107, 35.729287, 38.421579, 93.338876], [16.074562, 17.318974, 17.543875, 19.835952, 158.030907], [14.692812, 15.256274, 15.375840, 15.848805, 21.124234], [31.243004, 34.010348, 35.958683, 37.396844, 58.381302], [34.596344, 36.932743, 38.067490, 48.782061, 142.796571]]
### 2
mean: [0.827406, 1.215480, -1.127521, 1.727190, -1.029682]
std: [2.029802, 2.660011, 0.740863, 2.269256, 0.392096]
pca: [[0.496173, 0.376897, -0.096327, 0.672151, -0.388194, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.656322, 0.057106, -0.062350, -0.096013, 0.743555, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.136833, 0.678390, -0.135180, -0.656097, -0.268936, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.550771, -0.559944, 0.248809, -0.325066, -0.464262, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.031321, 0.284494, 0.952184, 0.053507, 0.092551, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.099832, 36.788717, 38.903326, 42.726534, 74.466551], [44.424723, 47.761435, 52.203816, 53.835344, 109.393217], [11.719209, 13.892301, 14.004298, 16.327435, 101.476920], [38.739545, 39.475581, 42.869148, 45.016992, 155.447130], [6.076458, 6.206385, 6.338247, 7.212211, 92.671351]]
### 4
mean: [-0.762079, 4.578781, -1.789925, 0.211982, -1.200948]
std: [0.346908, 3.573847, 1.071632, 0.320240, 0.984789]
pca: [[-0.089228, 0.054500, 0.801717, 0.132485, -0.573381, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.920708, -0.155571, 0.073224, 0.349435, 0.025059, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.275203, -0.392546, 0.398595, 0.419515, 0.659773, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.068466, 0.820813, -0.051156, 0.546267, 0.143364, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.252806, -0.380791, -0.436342, 0.621242, -0.463413, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.876582, 6.031380, 6.308006, 6.398781, 68.587126], [60.254474, 63.527661, 64.452026, 65.786778, 412.090309], [18.235244, 18.778572, 18.883301, 20.032806, 161.093256], [4.980333, 5.568661, 5.950272, 6.912390, 19.078391], [16.730022, 17.122825, 17.442295, 18.492253, 108.085295]]
### 6
mean: [4.671404, -1.701825, -1.355073, -2.314213, 3.425705]
std: [3.719183, 1.341915, 1.524468, 1.576354, 2.780463]
pca: [[0.700771, 0.102131, 0.398306, 0.438580, -0.384043, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.252845, -0.024350, 0.745391, 0.232537, 0.570785, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.286965, 0.869559, -0.157151, 0.368252, -0.034824, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.296937, -0.479243, -0.287740, 0.768992, -0.089506, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.523898, 0.056310, -0.422201, 0.163141, 0.719369, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[62.470749, 65.365283, 67.638425, 69.192944, 420.426316], [22.537526, 23.576683, 24.410056, 24.972684, 153.164236], [25.988536, 26.194729, 28.108350, 28.884474, 121.956562], [26.562133, 27.971987, 28.467403, 29.066787, 208.279141], [46.699174, 48.854744, 50.575364, 51.740327, 308.313467]]
### 8
mean: [-3.993390, -0.357062, 7.060015, -3.034784, 7.192630]
std: [3.130030, 0.203132, 5.975858, 2.122264, 6.047972]
pca: [[-0.336227, 0.726057, 0.098265, -0.118289, -0.579780, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.021338, 0.459810, -0.293155, 0.743320, 0.386853, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.642065, 0.333372, -0.544328, -0.422837, 0.039146, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.228000, 0.342515, 0.344108, -0.453234, 0.711946, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.649819, 0.181556, 0.699786, 0.221970, -0.076164, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[52.650675, 55.053768, 57.008829, 57.983128, 359.405089], [3.395834, 3.452147, 3.591163, 3.734492, 32.135534], [100.084121, 104.830345, 108.391229, 112.039485, 635.401363], [35.663039, 37.305141, 38.617481, 39.433167, 273.130547], [101.334323, 106.121858, 109.744026, 113.272512, 647.336663]]
### 10
mean: [-10.448512]
std: [9.342400]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[156.949354, 164.171459, 169.940364, 173.735835, 940.366058]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.888841,
-0.036233,
0.247592,
0.383273,
0.158783
],
[
-0.17789,
-0.050091,
-0.145122,
-0.404254,
0.038958
],
[
-0.014658,
0.042928,
-0.044916,
-0.253029,
0.524443
],
[
-0.965405,
-0.08621,
0.365893,
0.131342,
0.207612
],
[
1.007341,
-0.007535,
-0.167636,
-0.058592,
0.329747
]
],
"network.0.bias": [
0.674304,
-0.321254,
-0.063646,
0.705147,
0.41591
],
"network.2.weight": [
[
0.540457,
0.297237,
0.197645,
0.333722,
-0.619459
],
[
0.698384,
-0.061438,
0.283926,
0.798804,
-0.644094
],
[
-0.041006,
-0.074306,
-0.242615,
0.008346,
-0.329456
],
[
0.584833,
0.004004,
0.481427,
1.024927,
-0.358939
],
[
-0.529442,
-0.267123,
0.257857,
0.147824,
-0.181457
]
],
"network.2.bias": [
0.577191,
0.185019,
-0.440528,
0.048471,
-0.225156
],
"network.4.weight": [
[
0.013209,
-0.252858,
-0.399024,
0.028436,
-0.246324
],
[
0.969408,
0.742456,
-0.204413,
0.735641,
-0.289622
],
[
0.108205,
-0.332821,
-0.394408,
-0.365437,
-0.407646
],
[
-0.682624,
-0.015112,
-0.416645,
0.288188,
0.126795
],
[
-0.021229,
-0.125271,
0.04862,
-0.426639,
-0.10837
]
],
"network.4.bias": [
-0.352201,
0.237891,
-0.536249,
0.602887,
-0.036983
],
"network.6.weight": [
[
0.147424,
1.002659,
0.353276,
-0.662878,
0.395893
],
[
0.446825,
-0.361383,
0.297608,
0.245832,
0.272496
],
[
-0.18381,
-0.381989,
-0.058328,
0.765186,
0.37008
],
[
0.401909,
-0.438553,
0.266412,
0.044416,
0.277898
],
[
-0.199443,
0.74897,
0.398139,
-0.506272,
-0.124988
]
],
"network.6.bias": [
0.257706,
-0.112868,
0.189353,
-0.318054,
0.13172
],
"network.8.weight": [
[
-0.416902,
0.317926,
-0.191409,
-0.432033,
-0.581707
],
[
-0.121636,
-0.157563,
-0.255306,
-0.152478,
0.072838
],
[
1.002691,
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-0.263987,
0.761163
],
[
-0.265545,
-0.338198,
-0.041292,
0.003035,
-0.41103
],
[
0.933746,
0.38583,
-0.565912,
-0.064546,
0.885467
]
],
"network.8.bias": [
-0.022173,
0.002903,
-0.126279,
-0.379572,
-0.111136
],
"network.10.weight": [
[
-0.037609,
-0.187554,
-0.907209,
-0.031744,
-0.682647
]
],
"network.10.bias": [
1.034168
]
}
## Activation Signature
### 0
mean: [1.037099, -1.755899, 0.006722, 0.648681, 1.586629]
std: [1.945391, 1.013116, 0.999406, 1.941959, 2.144807]
pca: [[-0.556626, 0.407259, -0.194421, -0.630020, -0.299302, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.054236, -0.426862, 0.704501, -0.193563, -0.530150, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.065345, 0.471562, 0.648123, -0.215984, 0.553757, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.562905, 0.312439, 0.213646, 0.714592, -0.170977, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.605057, 0.576143, 0.013057, 0.091193, -0.541737, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.614881, 35.213107, 35.729287, 38.421579, 93.338876], [16.074562, 17.318974, 17.543875, 19.835952, 158.030907], [14.692812, 15.256274, 15.375840, 15.848805, 21.124234], [31.243004, 34.010348, 35.958683, 37.396844, 58.381302], [34.596344, 36.932743, 38.067490, 48.782061, 142.796571]]
### 2
mean: [0.827406, 1.215480, -1.127521, 1.727190, -1.029682]
std: [2.029802, 2.660011, 0.740863, 2.269256, 0.392096]
pca: [[0.496173, 0.376897, -0.096327, 0.672151, -0.388194, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.656322, 0.057106, -0.062350, -0.096013, 0.743555, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.136833, 0.678390, -0.135180, -0.656097, -0.268936, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.550771, -0.559944, 0.248809, -0.325066, -0.464262, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.031321, 0.284494, 0.952184, 0.053507, 0.092551, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.099832, 36.788717, 38.903326, 42.726534, 74.466551], [44.424723, 47.761435, 52.203816, 53.835344, 109.393217], [11.719209, 13.892301, 14.004298, 16.327435, 101.476920], [38.739545, 39.475581, 42.869148, 45.016992, 155.447130], [6.076458, 6.206385, 6.338247, 7.212211, 92.671351]]
### 4
mean: [-0.762079, 4.578781, -1.789925, 0.211982, -1.200948]
std: [0.346908, 3.573847, 1.071632, 0.320240, 0.984789]
pca: [[-0.089228, 0.054500, 0.801717, 0.132485, -0.573381, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.920708, -0.155571, 0.073224, 0.349435, 0.025059, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.275203, -0.392546, 0.398595, 0.419515, 0.659773, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.068466, 0.820813, -0.051156, 0.546267, 0.143364, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.252806, -0.380791, -0.436342, 0.621242, -0.463413, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.876582, 6.031380, 6.308006, 6.398781, 68.587126], [60.254474, 63.527661, 64.452026, 65.786778, 412.090309], [18.235244, 18.778572, 18.883301, 20.032806, 161.093256], [4.980333, 5.568661, 5.950272, 6.912390, 19.078391], [16.730022, 17.122825, 17.442295, 18.492253, 108.085295]]
### 6
mean: [4.671404, -1.701825, -1.355073, -2.314213, 3.425705]
std: [3.719183, 1.341915, 1.524468, 1.576354, 2.780463]
pca: [[0.700771, 0.102131, 0.398306, 0.438580, -0.384043, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.252845, -0.024350, 0.745391, 0.232537, 0.570785, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.286965, 0.869559, -0.157151, 0.368252, -0.034824, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.296937, -0.479243, -0.287740, 0.768992, -0.089506, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.523898, 0.056310, -0.422201, 0.163141, 0.719369, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[62.470749, 65.365283, 67.638425, 69.192944, 420.426316], [22.537526, 23.576683, 24.410056, 24.972684, 153.164236], [25.988536, 26.194729, 28.108350, 28.884474, 121.956562], [26.562133, 27.971987, 28.467403, 29.066787, 208.279141], [46.699174, 48.854744, 50.575364, 51.740327, 308.313467]]
### 8
mean: [-3.993390, -0.357062, 7.060015, -3.034784, 7.192630]
std: [3.130030, 0.203132, 5.975858, 2.122264, 6.047972]
pca: [[-0.336227, 0.726057, 0.098265, -0.118289, -0.579780, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.021338, 0.459810, -0.293155, 0.743320, 0.386853, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.642065, 0.333372, -0.544328, -0.422837, 0.039146, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.228000, 0.342515, 0.344108, -0.453234, 0.711946, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.649819, 0.181556, 0.699786, 0.221970, -0.076164, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[52.650675, 55.053768, 57.008829, 57.983128, 359.405089], [3.395834, 3.452147, 3.591163, 3.734492, 32.135534], [100.084121, 104.830345, 108.391229, 112.039485, 635.401363], [35.663039, 37.305141, 38.617481, 39.433167, 273.130547], [101.334323, 106.121858, 109.744026, 113.272512, 647.336663]]
### 10
mean: [-10.448512]
std: [9.342400]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[156.949354, 164.171459, 169.940364, 173.735835, 940.366058]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.0370985269546509, "std": 1.9453908205032349, "pca": [-0.5566264390945435, 0.40725943446159363, -0.1944206953048706, -0.6300204992294312, -0.29930171370506287, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [30.614880879020582, 35.21310707773952, 35.7292865940562, 38.42157865439687, 93.3388757109642]}, "1": {"mean": -1.7558990716934204, "std": 1.0131160020828247, "pca": [-0.054236214607954025, -0.4268615245819092, 0.7045010924339294, -0.19356322288513184, -0.5301501750946045, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [16.074562416210863, 17.31897404692352, 17.543874874324842, 19.83595230409563, 158.03090652823448]}, "2": {"mean": 0.006722211837768555, "std": 0.9994059801101685, "pca": [0.06534545868635178, 0.47156158089637756, 0.6481232643127441, -0.21598367393016815, 0.5537571310997009, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [14.692811615734461, 15.256273781272704, 15.37584030024305, 15.848804830130392, 21.12423440655553]}, "3": {"mean": 0.6486811637878418, "std": 1.9419591426849365, "pca": [-0.5629046559333801, 0.3124392032623291, 0.21364599466323853, 0.714592456817627, -0.170976921916008, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [31.2430042506665, 34.01034845999618, 35.958682823523766, 37.39684382599762, 58.381301522254944]}, "4": {"mean": 1.5866285562515259, "std": 2.1448066234588623, "pca": [0.6050568222999573, 0.5761427283287048, 0.013056931085884571, 0.09119268506765366, -0.5417371988296509, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [34.596343654110925, 36.93274272220706, 38.067490377807, 48.78206128853523, 142.79657112061977]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": 0.8274061679840088, "std": 2.029801845550537, "pca": [0.4961732029914856, 0.37689682841300964, -0.09632741659879684, 0.6721513271331787, -0.38819390535354614, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [34.09983171021988, 36.78871749717161, 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{"mean": -1.02968168258667, "std": 0.39209628105163574, "pca": [-0.03132079169154167, 0.28449365496635437, 0.9521836638450623, 0.053506869822740555, 0.09255050867795944, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [6.076457807459399, 6.206384591358561, 6.338247186749345, 7.212210649379209, 92.67135137319565]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "4": {"neuron_profiles": {"0": {"mean": -0.762079119682312, "std": 0.3469078838825226, "pca": [-0.08922779560089111, 0.05449962243437767, 0.8017167448997498, 0.13248512148857117, -0.5733813643455505, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [5.87658189459946, 6.031380039129722, 6.308005741178762, 6.39878051986659, 68.58712583780289]}, "1": {"mean": 4.5787811279296875, "std": 3.5738472938537598, "pca": [0.9207079410552979, -0.15557071566581726, 0.0732237845659256, 0.3494352102279663, 0.025059103965759277, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [60.25447379718838, 63.527660702612096, 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"layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "6": {"neuron_profiles": {"0": {"mean": 4.671403884887695, "std": 3.7191829681396484, "pca": [0.7007712125778198, 0.10213113576173782, 0.3983055353164673, 0.4385799169540405, -0.3840433359146118, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [62.47074931481601, 65.36528267717941, 67.6384248695018, 69.19294393922452, 420.4263158738613]}, "1": {"mean": -1.7018247842788696, "std": 1.3419150114059448, "pca": [-0.25284501910209656, -0.024350101128220558, 0.7453912496566772, 0.23253676295280457, 0.5707845687866211, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [22.53752595401188, 23.576682629182816, 24.410056427048254, 24.972683811563353, 153.164235830307]}, "2": {"mean": -1.3550729751586914, "std": 1.524467945098877, "pca": [-0.28696495294570923, 0.869558572769165, -0.1571512073278427, 0.36825239658355713, -0.03482382372021675, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [25.988536333642408, 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[35.663038849926515, 37.30514122780779, 38.61748098725137, 39.43316674430995, 273.13054662942886]}, "4": {"mean": 7.192629814147949, "std": 6.047972202301025, "pca": [0.6498194336891174, 0.1815560907125473, 0.6997860074043274, 0.22196996212005615, -0.07616407424211502, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [101.33432288288367, 106.12185763079277, 109.74402648171969, 113.27251182062192, 647.3366625905037]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -10.448512077331543, "std": 9.342399597167969, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [156.94935393103373, 164.17145926893073, 169.94036361997763, 173.73583485225328, 940.3660576343536]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.888841, -0.036233, 0.247592, 0.383273, 0.158783], [-0.17789, -0.050091, -0.145122, -0.404254, 0.038958], [-0.014658, 0.042928, -0.044916, -0.253029, 0.524443], [-0.965405, -0.08621, 0.365893, 0.131342, 0.207612], [1.007341, -0.007535, -0.167636, -0.058592, 0.329747]], "network.0.bias": [0.674304, -0.321254, -0.063646, 0.705147, 0.41591], "network.2.weight": [[0.540457, 0.297237, 0.197645, 0.333722, -0.619459], [0.698384, -0.061438, 0.283926, 0.798804, -0.644094], [-0.041006, -0.074306, -0.242615, 0.008346, -0.329456], [0.584833, 0.004004, 0.481427, 1.024927, -0.358939], [-0.529442, -0.267123, 0.257857, 0.147824, -0.181457]], "network.2.bias": [0.577191, 0.185019, -0.440528, 0.048471, -0.225156], "network.4.weight": [[0.013209, -0.252858, -0.399024, 0.028436, -0.246324], [0.969408, 0.742456, -0.204413, 0.735641, -0.289622], [0.108205, -0.332821, -0.394408, -0.365437, -0.407646], [-0.682624, -0.015112, -0.416645, 0.288188, 0.126795], [-0.021229, -0.125271, 0.04862, -0.426639, -0.10837]], "network.4.bias": [-0.352201, 0.237891, -0.536249, 0.602887, -0.036983], "network.6.weight": [[0.147424, 1.002659, 0.353276, -0.662878, 0.395893], [0.446825, -0.361383, 0.297608, 0.245832, 0.272496], [-0.18381, -0.381989, -0.058328, 0.765186, 0.37008], [0.401909, -0.438553, 0.266412, 0.044416, 0.277898], [-0.199443, 0.74897, 0.398139, -0.506272, -0.124988]], "network.6.bias": [0.257706, -0.112868, 0.189353, -0.318054, 0.13172], "network.8.weight": [[-0.416902, 0.317926, -0.191409, -0.432033, -0.581707], [-0.121636, -0.157563, -0.255306, -0.152478, 0.072838], [1.002691, -0.127785, -0.650743, -0.263987, 0.761163], [-0.265545, -0.338198, -0.041292, 0.003035, -0.41103], [0.933746, 0.38583, -0.565912, -0.064546, 0.885467]], "network.8.bias": [-0.022173, 0.002903, -0.126279, -0.379572, -0.111136], "network.10.weight": [[-0.037609, -0.187554, -0.907209, -0.031744, -0.682647]], "network.10.bias": [1.034168]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6834456622600555, "train_acc": 0.56, "val_loss": 0.7223269939422607, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6735208332538605, "train_acc": 0.56, "val_loss": 0.6622382998466492, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5980353951454163, "train_acc": 0.505, "val_loss": 0.5409709811210632, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4587392807006836, "train_acc": 0.645, "val_loss": 0.5010135769844055, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.41571858525276184, "train_acc": 0.875, "val_loss": 0.4860024154186249, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.386863648891449, "train_acc": 0.885, "val_loss": 0.42190873622894287, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.36602528393268585, "train_acc": 0.94, "val_loss": 0.46051234006881714, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.31345005333423615, "train_acc": 0.94, "val_loss": 0.3586293160915375, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.30056995153427124, "train_acc": 0.93, "val_loss": 0.3984275162220001, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3009675145149231, "train_acc": 0.91, "val_loss": 0.33578017354011536, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.26040858775377274, "train_acc": 0.93, "val_loss": 0.3219638168811798, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.2418370619416237, "train_acc": 0.94, "val_loss": 0.2543734610080719, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7223269939422607, "final_val_loss": 0.6622382998466492, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5409709811210632, "final_val_loss": 0.2543734610080719, "initial_val_acc": 0.48, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 11}, "improvement": 0.45999999999999996, "first_improvement_epoch": 1}}
|
181
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.44, "improved_accuracy": 0.82, "improvement": 0.37999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8444, "learning_rate": 0.07396092410442093, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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[
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"network.2.weight": [
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[
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[
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"network.6.weight": [
[
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"network.8.weight": [
[
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"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [-5.255963, 1.179922, 0.687100, -0.995656, 0.246604, -3.426495, 1.197564]
std: [3.385972, 2.806176, 2.719051, 0.817403, 1.816459, 2.134534, 2.215540]
pca: [[-0.453263, 0.663102, -0.411047, 0.240495, 0.347193, 0.074940, -0.043514, 0.000000, 0.000000, 0.000000], [0.553235, 0.118609, 0.229181, 0.188754, 0.666675, 0.077519, 0.375827, 0.000000, 0.000000, 0.000000], [0.518609, 0.213030, -0.341394, 0.039955, -0.326598, 0.649595, -0.197171, 0.000000, 0.000000, 0.000000], [-0.001519, 0.204495, -0.221579, -0.259221, -0.350888, -0.086794, 0.843345, 0.000000, 0.000000, 0.000000], [-0.294618, -0.245664, 0.220675, 0.731877, -0.204731, 0.373410, 0.295225, 0.000000, 0.000000, 0.000000], [-0.145239, 0.506510, 0.743104, -0.271798, -0.152330, 0.266135, -0.047371, 0.000000, 0.000000, 0.000000], [-0.334114, -0.376995, -0.109403, -0.477728, 0.374291, 0.590428, 0.131723, 0.000000, 0.000000, 0.000000]]
fourier: [[51.512807, 56.981162, 62.518370, 68.697500, 473.036663], [47.175905, 49.222566, 51.558486, 54.441195, 106.192969], [43.833590, 49.302621, 49.411878, 51.237956, 61.838979], [12.898051, 13.308213, 14.828159, 16.744597, 89.609057], [28.783168, 31.538527, 31.739497, 33.212671, 39.008951], [34.655617, 35.697760, 36.889832, 38.247431, 308.384540], [35.931395, 36.821964, 37.267508, 39.581016, 107.780753]]
### 2
mean: [0.597076, 1.293204, 0.466807, 0.088548, 2.188573, 0.166193, -0.635208]
std: [2.160174, 1.327978, 2.978764, 1.107543, 4.163960, 1.821925, 1.200039]
pca: [[0.355504, -0.021703, -0.434617, -0.140670, -0.184651, 0.784994, -0.118971, 0.000000, 0.000000, 0.000000], [-0.146380, 0.745535, -0.331798, 0.206033, 0.063055, -0.121062, -0.501576, 0.000000, 0.000000, 0.000000], [0.490006, -0.114365, 0.349082, 0.738045, 0.103803, 0.087175, -0.248739, 0.000000, 0.000000, 0.000000], [-0.165356, 0.328277, 0.701708, -0.302966, 0.238542, 0.454268, -0.132090, 0.000000, 0.000000, 0.000000], [0.680728, 0.399395, -0.026125, -0.261164, 0.314789, -0.224043, 0.398644, 0.000000, 0.000000, 0.000000], [-0.292231, 0.316266, -0.047208, 0.476665, -0.061085, 0.292708, 0.704080, 0.000000, 0.000000, 0.000000], [-0.189611, -0.251635, -0.289577, 0.076460, 0.889622, 0.138912, -0.017415, 0.000000, 0.000000, 0.000000]]
fourier: [[35.784724, 39.033063, 41.093063, 41.827254, 53.736890], [21.090410, 22.210801, 22.736865, 23.516142, 116.388396], [43.194497, 48.555921, 52.480259, 55.622974, 57.963065], [18.032285, 18.310450, 18.718997, 19.182689, 22.975764], [68.287757, 70.939092, 79.691952, 81.380418, 196.971581], [27.513614, 28.945640, 33.179748, 33.781463, 34.288483], [20.228841, 22.594940, 22.792845, 22.820272, 57.168701]]
### 4
mean: [-0.141036, -2.333222, -0.792157, 1.148530, 2.563889, -1.296023, 0.407552]
std: [0.930957, 2.009936, 1.188121, 4.848568, 6.898036, 1.513382, 2.947216]
pca: [[-0.098871, -0.090850, -0.270481, 0.892018, -0.221309, 0.235096, -0.094165, 0.000000, 0.000000, 0.000000], [0.139018, 0.827332, -0.007282, 0.112702, -0.207603, -0.378198, -0.311943, 0.000000, 0.000000, 0.000000], [-0.107965, 0.341265, 0.678599, 0.090323, -0.138004, 0.525950, 0.327962, 0.000000, 0.000000, 0.000000], [0.526329, 0.030992, -0.251653, -0.279311, -0.252270, 0.620723, -0.362954, 0.000000, 0.000000, 0.000000], [0.747849, -0.191175, 0.407719, 0.315409, 0.308688, -0.206302, -0.024633, 0.000000, 0.000000, 0.000000], [-0.153453, 0.287841, -0.141989, 0.075476, 0.850811, 0.310791, -0.217422, 0.000000, 0.000000, 0.000000], [0.315267, 0.265416, -0.465365, 0.015835, 0.077915, 0.024979, 0.778878, 0.000000, 0.000000, 0.000000]]
fourier: [[14.865446, 15.179525, 17.165369, 17.826733, 17.933808], [30.949458, 33.424199, 33.452359, 35.579502, 209.989992], [20.400845, 21.743611, 21.792748, 27.349421, 71.294123], [77.105283, 83.292226, 92.169776, 95.478069, 103.367749], [113.483438, 116.021032, 132.084017, 134.877860, 230.750049], [25.551784, 28.563447, 28.976476, 31.045350, 116.642093], [44.276579, 46.436510, 53.143598, 54.601669, 56.966977]]
### 6
mean: [4.031296, 4.330027, -1.053540, 1.266698, -0.470420, -0.252255, 0.649503]
std: [6.727864, 7.169454, 1.197564, 2.684530, 1.383032, 0.248548, 1.448957]
pca: [[0.643725, 0.014265, 0.001517, 0.263563, 0.151118, -0.164389, 0.682706, 0.000000, 0.000000, 0.000000], [0.685954, 0.136183, -0.279969, -0.363634, -0.347953, 0.043575, -0.421116, 0.000000, 0.000000, 0.000000], [-0.111826, 0.705365, 0.281947, -0.279236, -0.032636, -0.571730, 0.067434, 0.000000, 0.000000, 0.000000], [0.256827, 0.084232, 0.257179, 0.020474, 0.825133, 0.074208, -0.417174, 0.000000, 0.000000, 0.000000], [-0.131068, 0.506558, -0.388121, -0.253049, 0.218176, 0.606822, 0.309377, 0.000000, 0.000000, 0.000000], [0.016853, 0.459103, -0.132354, 0.809465, -0.179094, 0.079836, -0.278822, 0.000000, 0.000000, 0.000000], [0.138409, 0.096118, 0.779631, -0.025422, -0.307421, 0.513895, 0.067356, 0.000000, 0.000000, 0.000000]]
fourier: [[109.386744, 129.823441, 130.271520, 133.464666, 362.816641], [116.520564, 138.380959, 139.331382, 142.067818, 389.702480], [19.646953, 20.805811, 23.074642, 23.679788, 94.818593], [43.673608, 51.764913, 52.369418, 53.040633, 114.002810], [23.215150, 23.926269, 26.514688, 27.107326, 42.337787], [4.082585, 4.233249, 4.957038, 5.659799, 22.702974], [23.905283, 27.577885, 27.906338, 28.147248, 58.455298]]
### 8
mean: [-2.558407]
std: [4.036383]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[65.172459, 77.087990, 77.950098, 80.356975, 230.256661]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.67498,
-0.668532,
-0.720745,
-0.170802,
-0.611486
],
[
1.270438,
0.283339,
-0.145413,
-0.376861,
-0.26351
],
[
1.317388,
0.098588,
-0.232458,
-0.154848,
-0.545981
],
[
0.179305,
-0.276824,
-0.207784,
0.028219,
-0.267796
],
[
-0.924852,
0.346023,
0.13985,
0.072612,
0.431286
],
[
0.039118,
-0.537382,
-0.738404,
-0.300933,
-0.098375
],
[
-0.936894,
-0.078122,
0.580168,
0.335395,
0.445116
]
],
"network.0.bias": [
-0.571776,
0.519531,
0.359052,
-0.010551,
-0.212765,
-0.186839,
0.025714
],
"network.2.weight": [
[
0.113048,
0.420128,
0.309072,
-0.914267,
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],
[
-0.163708,
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0.004545,
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0.227705,
0.760957
],
[
-0.066222,
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0.522229,
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],
[
0.048753,
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0.183622,
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0.40494,
0.498205,
0.257701
],
[
-0.754214,
0.636009,
0.988662,
-1.111766,
-0.319165,
-0.399618,
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],
[
0.35759,
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1.170212,
0.27726,
0.106821,
0.487389
],
[
-0.40067,
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-0.394779,
0.21629,
-0.054309,
0.07778,
0.031337
]
],
"network.2.bias": [
0.134509,
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0.108255,
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0.549763,
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0.017537
],
"network.4.weight": [
[
-0.291829,
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0.028607
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[
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0.902445
],
[
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0.080166,
0.276981
],
[
0.218893,
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0.466203,
-0.678678,
0.654489,
0.010046,
-0.026707
],
[
0.479005,
-0.242904,
0.450102,
-0.34272,
1.058943,
-0.772137,
-0.090508
],
[
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-0.335362,
-0.006436,
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],
[
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0.56485,
-0.278387,
0.262029,
-0.289474,
0.190613
]
],
"network.4.bias": [
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0.132461,
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0.312545
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"network.6.weight": [
[
-0.081527,
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0.509012,
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0.242399,
0.446565
],
[
0.081456,
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0.324371,
0.631395,
0.55175,
-0.031557,
0.562675
],
[
0.547684,
0.463389,
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0.384904,
-0.337051,
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],
[
0.062013,
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0.021017,
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0.261815,
0.127101
],
[
0.387498,
0.748751,
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0.079952,
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-0.029816,
0.251817
],
[
0.169158,
0.902964,
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0.343699,
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],
[
0.074497,
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0.240408,
0.2249,
-0.654806,
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]
],
"network.6.bias": [
0.134831,
0.10009,
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0.291655,
-0.355588,
-0.306773
],
"network.8.weight": [
[
-0.270705,
-0.338753,
0.36073,
0.021273,
0.314477,
0.24598,
0.117832
]
],
"network.8.bias": [
-0.118314
]
}
## Activation Signature
### 0
mean: [-5.255963, 1.179922, 0.687100, -0.995656, 0.246604, -3.426495, 1.197564]
std: [3.385972, 2.806176, 2.719051, 0.817403, 1.816459, 2.134534, 2.215540]
pca: [[-0.453263, 0.663102, -0.411047, 0.240495, 0.347193, 0.074940, -0.043514, 0.000000, 0.000000, 0.000000], [0.553235, 0.118609, 0.229181, 0.188754, 0.666675, 0.077519, 0.375827, 0.000000, 0.000000, 0.000000], [0.518609, 0.213030, -0.341394, 0.039955, -0.326598, 0.649595, -0.197171, 0.000000, 0.000000, 0.000000], [-0.001519, 0.204495, -0.221579, -0.259221, -0.350888, -0.086794, 0.843345, 0.000000, 0.000000, 0.000000], [-0.294618, -0.245664, 0.220675, 0.731877, -0.204731, 0.373410, 0.295225, 0.000000, 0.000000, 0.000000], [-0.145239, 0.506510, 0.743104, -0.271798, -0.152330, 0.266135, -0.047371, 0.000000, 0.000000, 0.000000], [-0.334114, -0.376995, -0.109403, -0.477728, 0.374291, 0.590428, 0.131723, 0.000000, 0.000000, 0.000000]]
fourier: [[51.512807, 56.981162, 62.518370, 68.697500, 473.036663], [47.175905, 49.222566, 51.558486, 54.441195, 106.192969], [43.833590, 49.302621, 49.411878, 51.237956, 61.838979], [12.898051, 13.308213, 14.828159, 16.744597, 89.609057], [28.783168, 31.538527, 31.739497, 33.212671, 39.008951], [34.655617, 35.697760, 36.889832, 38.247431, 308.384540], [35.931395, 36.821964, 37.267508, 39.581016, 107.780753]]
### 2
mean: [0.597076, 1.293204, 0.466807, 0.088548, 2.188573, 0.166193, -0.635208]
std: [2.160174, 1.327978, 2.978764, 1.107543, 4.163960, 1.821925, 1.200039]
pca: [[0.355504, -0.021703, -0.434617, -0.140670, -0.184651, 0.784994, -0.118971, 0.000000, 0.000000, 0.000000], [-0.146380, 0.745535, -0.331798, 0.206033, 0.063055, -0.121062, -0.501576, 0.000000, 0.000000, 0.000000], [0.490006, -0.114365, 0.349082, 0.738045, 0.103803, 0.087175, -0.248739, 0.000000, 0.000000, 0.000000], [-0.165356, 0.328277, 0.701708, -0.302966, 0.238542, 0.454268, -0.132090, 0.000000, 0.000000, 0.000000], [0.680728, 0.399395, -0.026125, -0.261164, 0.314789, -0.224043, 0.398644, 0.000000, 0.000000, 0.000000], [-0.292231, 0.316266, -0.047208, 0.476665, -0.061085, 0.292708, 0.704080, 0.000000, 0.000000, 0.000000], [-0.189611, -0.251635, -0.289577, 0.076460, 0.889622, 0.138912, -0.017415, 0.000000, 0.000000, 0.000000]]
fourier: [[35.784724, 39.033063, 41.093063, 41.827254, 53.736890], [21.090410, 22.210801, 22.736865, 23.516142, 116.388396], [43.194497, 48.555921, 52.480259, 55.622974, 57.963065], [18.032285, 18.310450, 18.718997, 19.182689, 22.975764], [68.287757, 70.939092, 79.691952, 81.380418, 196.971581], [27.513614, 28.945640, 33.179748, 33.781463, 34.288483], [20.228841, 22.594940, 22.792845, 22.820272, 57.168701]]
### 4
mean: [-0.141036, -2.333222, -0.792157, 1.148530, 2.563889, -1.296023, 0.407552]
std: [0.930957, 2.009936, 1.188121, 4.848568, 6.898036, 1.513382, 2.947216]
pca: [[-0.098871, -0.090850, -0.270481, 0.892018, -0.221309, 0.235096, -0.094165, 0.000000, 0.000000, 0.000000], [0.139018, 0.827332, -0.007282, 0.112702, -0.207603, -0.378198, -0.311943, 0.000000, 0.000000, 0.000000], [-0.107965, 0.341265, 0.678599, 0.090323, -0.138004, 0.525950, 0.327962, 0.000000, 0.000000, 0.000000], [0.526329, 0.030992, -0.251653, -0.279311, -0.252270, 0.620723, -0.362954, 0.000000, 0.000000, 0.000000], [0.747849, -0.191175, 0.407719, 0.315409, 0.308688, -0.206302, -0.024633, 0.000000, 0.000000, 0.000000], [-0.153453, 0.287841, -0.141989, 0.075476, 0.850811, 0.310791, -0.217422, 0.000000, 0.000000, 0.000000], [0.315267, 0.265416, -0.465365, 0.015835, 0.077915, 0.024979, 0.778878, 0.000000, 0.000000, 0.000000]]
fourier: [[14.865446, 15.179525, 17.165369, 17.826733, 17.933808], [30.949458, 33.424199, 33.452359, 35.579502, 209.989992], [20.400845, 21.743611, 21.792748, 27.349421, 71.294123], [77.105283, 83.292226, 92.169776, 95.478069, 103.367749], [113.483438, 116.021032, 132.084017, 134.877860, 230.750049], [25.551784, 28.563447, 28.976476, 31.045350, 116.642093], [44.276579, 46.436510, 53.143598, 54.601669, 56.966977]]
### 6
mean: [4.031296, 4.330027, -1.053540, 1.266698, -0.470420, -0.252255, 0.649503]
std: [6.727864, 7.169454, 1.197564, 2.684530, 1.383032, 0.248548, 1.448957]
pca: [[0.643725, 0.014265, 0.001517, 0.263563, 0.151118, -0.164389, 0.682706, 0.000000, 0.000000, 0.000000], [0.685954, 0.136183, -0.279969, -0.363634, -0.347953, 0.043575, -0.421116, 0.000000, 0.000000, 0.000000], [-0.111826, 0.705365, 0.281947, -0.279236, -0.032636, -0.571730, 0.067434, 0.000000, 0.000000, 0.000000], [0.256827, 0.084232, 0.257179, 0.020474, 0.825133, 0.074208, -0.417174, 0.000000, 0.000000, 0.000000], [-0.131068, 0.506558, -0.388121, -0.253049, 0.218176, 0.606822, 0.309377, 0.000000, 0.000000, 0.000000], [0.016853, 0.459103, -0.132354, 0.809465, -0.179094, 0.079836, -0.278822, 0.000000, 0.000000, 0.000000], [0.138409, 0.096118, 0.779631, -0.025422, -0.307421, 0.513895, 0.067356, 0.000000, 0.000000, 0.000000]]
fourier: [[109.386744, 129.823441, 130.271520, 133.464666, 362.816641], [116.520564, 138.380959, 139.331382, 142.067818, 389.702480], [19.646953, 20.805811, 23.074642, 23.679788, 94.818593], [43.673608, 51.764913, 52.369418, 53.040633, 114.002810], [23.215150, 23.926269, 26.514688, 27.107326, 42.337787], [4.082585, 4.233249, 4.957038, 5.659799, 22.702974], [23.905283, 27.577885, 27.906338, 28.147248, 58.455298]]
### 8
mean: [-2.558407]
std: [4.036383]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[65.172459, 77.087990, 77.950098, 80.356975, 230.256661]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.67498, -0.668532, -0.720745, -0.170802, -0.611486], [1.270438, 0.283339, -0.145413, -0.376861, -0.26351], [1.317388, 0.098588, -0.232458, -0.154848, -0.545981], [0.179305, -0.276824, -0.207784, 0.028219, -0.267796], [-0.924852, 0.346023, 0.13985, 0.072612, 0.431286], [0.039118, -0.537382, -0.738404, -0.300933, -0.098375], [-0.936894, -0.078122, 0.580168, 0.335395, 0.445116]], "network.0.bias": [-0.571776, 0.519531, 0.359052, -0.010551, -0.212765, -0.186839, 0.025714], "network.2.weight": [[0.113048, 0.420128, 0.309072, -0.914267, -0.372419, -0.803037, -0.219413], [-0.163708, 0.037065, 0.004545, 0.9924, 0.229846, 0.227705, 0.760957], [-0.066222, 0.448385, 0.522229, -0.752892, -0.212571, -1.246195, -0.554473], [0.048753, -0.357746, 0.183622, 0.746785, 0.40494, 0.498205, 0.257701], [-0.754214, 0.636009, 0.988662, -1.111766, -0.319165, -0.399618, -0.233698], [0.35759, -0.177364, -0.295139, 1.170212, 0.27726, 0.106821, 0.487389], [-0.40067, -0.121578, -0.394779, 0.21629, -0.054309, 0.07778, 0.031337]], "network.2.bias": [0.134509, -0.048635, 0.108255, -0.232428, 0.549763, -0.083089, 0.017537], "network.4.weight": [[-0.291829, -0.136869, -0.298443, 0.390676, 0.148091, 0.375133, 0.028607], [-0.721511, -0.870015, -0.034698, -0.37611, 0.338725, -0.627642, 0.902445], [-0.025398, -0.175673, -0.975135, -0.312719, 0.264624, 0.080166, 0.276981], [0.218893, -0.62723, 0.466203, -0.678678, 0.654489, 0.010046, -0.026707], [0.479005, -0.242904, 0.450102, -0.34272, 1.058943, -0.772137, -0.090508], [-0.103558, -0.169443, -0.039323, -0.020051, -0.335362, -0.006436, -0.490218], [-0.151032, -0.63444, 0.56485, -0.278387, 0.262029, -0.289474, 0.190613]], "network.4.bias": [-0.079502, -0.693998, 0.132461, -0.203933, -0.028197, -0.121549, 0.312545], "network.6.weight": [[-0.081527, -0.348378, 0.045679, 0.509012, 0.597745, 0.242399, 0.446565], [0.081456, -0.674962, 0.324371, 0.631395, 0.55175, -0.031557, 0.562675], [0.547684, 0.463389, -0.02772, 0.384904, -0.337051, -0.444556, -0.238014], [0.062013, 0.017525, 0.021017, 0.14279, 0.298432, 0.261815, 0.127101], [0.387498, 0.748751, -0.054807, 0.079952, -0.349942, -0.029816, 0.251817], [0.169158, 0.902964, -0.478522, 0.343699, -0.234408, -0.157005, 0.142206], [0.074497, -0.11043, 0.175138, 0.240408, 0.2249, -0.654806, -0.392755]], "network.6.bias": [0.134831, 0.10009, -0.506692, -0.288914, 0.291655, -0.355588, -0.306773], "network.8.weight": [[-0.270705, -0.338753, 0.36073, 0.021273, 0.314477, 0.24598, 0.117832]], "network.8.bias": [-0.118314]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6794262230396271, "train_acc": 0.585, "val_loss": 0.7209688425064087, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6505645513534546, "train_acc": 0.585, "val_loss": 0.636088490486145, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6636260151863098, "train_acc": 0.515, "val_loss": 0.5533014535903931, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6243715286254883, "train_acc": 0.645, "val_loss": 0.5593981742858887, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.620141476392746, "train_acc": 0.595, "val_loss": 0.5664196014404297, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6153763234615326, "train_acc": 0.61, "val_loss": 0.5186244249343872, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.5937176942825317, "train_acc": 0.61, "val_loss": 0.5008258819580078, "val_acc": 0.74}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.5734661817550659, "train_acc": 0.655, "val_loss": 0.5205467343330383, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.5541082620620728, "train_acc": 0.755, "val_loss": 0.4723978340625763, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.5392443835735321, "train_acc": 0.745, "val_loss": 0.4428701102733612, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.5399926006793976, "train_acc": 0.74, "val_loss": 0.5203323364257812, "val_acc": 0.72}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.5300375521183014, "train_acc": 0.695, "val_loss": 0.45637932419776917, "val_acc": 0.78}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7209688425064087, "final_val_loss": 0.636088490486145, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5533014535903931, "final_val_loss": 0.45637932419776917, "initial_val_acc": 0.8, "final_val_acc": 0.78, "best_val_acc": 0.82, "best_epoch": 7}, "improvement": 0.37999999999999995, "first_improvement_epoch": 1}}
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182
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.56, "improved_accuracy": 0.78, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1842, "learning_rate": 0.07888729943982431, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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"network.8.weight": [
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"network.12.weight": [
[
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-1.471741, -2.972376, -3.706418, -0.041794, -4.341808, 2.756289, -2.887221]
std: [2.473284, 2.504019, 2.710105, 2.633366, 3.069695, 3.569710, 1.801374]
pca: [[0.209757, 0.632447, -0.159817, -0.425644, 0.384630, -0.154984, 0.421115, 0.000000, 0.000000, 0.000000], [-0.382306, 0.035372, -0.580459, 0.219496, -0.185337, 0.454924, 0.475577, 0.000000, 0.000000, 0.000000], [-0.426130, 0.132246, 0.149010, -0.128899, 0.575179, 0.527373, -0.391347, 0.000000, 0.000000, 0.000000], [0.348452, 0.452122, -0.153193, -0.154823, -0.513720, 0.399179, -0.451082, 0.000000, 0.000000, 0.000000], [-0.412015, 0.495669, -0.181547, 0.439111, -0.030528, -0.504190, -0.321930, 0.000000, 0.000000, 0.000000], [0.557045, 0.075176, -0.043394, 0.698867, 0.388324, 0.206214, 0.020764, 0.000000, 0.000000, 0.000000], [-0.163654, 0.354284, 0.746332, 0.220973, -0.266915, 0.186616, 0.368498, 0.000000, 0.000000, 0.000000]]
fourier: [[37.699506, 42.380386, 43.360006, 44.955265, 132.456728], [40.387694, 43.775535, 44.202090, 50.978071, 267.513848], [44.173477, 46.832117, 47.658386, 48.866649, 333.577605], [37.905147, 43.746879, 46.192582, 50.318967, 50.575135], [47.595469, 52.200045, 55.278968, 62.295044, 390.762707], [55.031809, 58.502955, 63.498052, 67.188336, 248.066033], [29.170302, 29.350312, 30.366494, 35.584457, 259.849934]]
### 2
mean: [2.763143, 1.948408, 2.755587, -0.754532, -2.633300, -3.023917, -0.400328]
std: [3.668697, 2.833815, 3.641997, 1.430480, 3.336581, 4.154121, 1.223518]
pca: [[-0.449789, -0.169656, -0.169111, 0.047064, 0.416525, 0.658389, 0.362110, 0.000000, 0.000000, 0.000000], [-0.346213, 0.602911, 0.361552, -0.259399, 0.031778, -0.263773, 0.498038, 0.000000, 0.000000, 0.000000], [-0.446285, 0.302482, -0.010162, 0.733399, 0.108822, -0.146464, -0.371567, 0.000000, 0.000000, 0.000000], [0.174674, -0.104634, 0.889847, 0.117841, 0.135408, 0.322684, -0.174258, 0.000000, 0.000000, 0.000000], [0.408751, 0.359723, -0.156600, -0.124198, 0.791362, -0.058859, -0.183996, 0.000000, 0.000000, 0.000000], [0.508996, 0.406202, -0.120679, 0.450979, -0.283606, 0.353996, 0.390170, 0.000000, 0.000000, 0.000000], [0.148290, -0.459207, 0.098300, 0.399912, 0.297713, -0.492538, 0.516062, 0.000000, 0.000000, 0.000000]]
fourier: [[60.746078, 62.063318, 63.605755, 66.891630, 248.682829], [46.107804, 46.802373, 49.191566, 52.258268, 175.356723], [60.398144, 62.155824, 62.398308, 66.753009, 248.002830], [23.423497, 23.673797, 24.571664, 26.347987, 67.907835], [55.774043, 56.847355, 58.395634, 59.991539, 236.996992], [69.579948, 70.848896, 71.815929, 75.382387, 272.152569], [19.073567, 20.194475, 21.064258, 22.677473, 36.029564]]
### 4
mean: [-4.852018, 4.189931, -4.592830, 1.326915, -3.602097, -2.008691, -0.209807]
std: [5.211311, 6.060999, 4.819839, 1.990328, 4.313817, 1.957593, 0.703041]
pca: [[-0.488216, 0.233774, 0.157418, 0.753695, -0.047674, -0.279518, 0.183724, 0.000000, 0.000000, 0.000000], [0.567534, 0.662087, -0.273226, 0.073174, 0.165164, -0.246570, 0.267326, 0.000000, 0.000000, 0.000000], [-0.451352, 0.491741, -0.141101, -0.228657, 0.039089, 0.651992, 0.235917, 0.000000, 0.000000, 0.000000], [0.186169, 0.322258, 0.671550, -0.132454, -0.623709, 0.039739, -0.048743, 0.000000, 0.000000, 0.000000], [-0.404140, 0.168075, -0.365344, -0.445211, -0.360028, -0.576915, -0.119505, 0.000000, 0.000000, 0.000000], [-0.183211, 0.263377, 0.475603, -0.264814, 0.660507, -0.235564, -0.330125, 0.000000, 0.000000, 0.000000], [-0.065401, -0.252417, 0.264583, -0.297357, 0.118397, -0.214661, 0.844681, 0.000000, 0.000000, 0.000000]]
fourier: [[88.783072, 89.345629, 89.564509, 93.932367, 436.681641], [101.795415, 102.274326, 105.855690, 111.659337, 377.093762], [81.246210, 82.876193, 83.384628, 86.248228, 413.354713], [32.437372, 33.263263, 34.557794, 37.123926, 119.422348], [73.323932, 73.408748, 74.184223, 77.979219, 324.188742], [33.138078, 33.821827, 34.256745, 34.721587, 180.782204], [11.394812, 11.544365, 12.794851, 13.298613, 18.882603]]
### 6
mean: [2.280743, -1.376665, 1.494454, -0.046193, 0.800247, -1.669239, -1.475011]
std: [3.573015, 0.605765, 2.393443, 0.764082, 0.841818, 1.680992, 3.333181]
pca: [[0.612178, 0.283635, 0.682775, -0.083164, -0.186422, 0.018281, 0.191324, 0.000000, 0.000000, 0.000000], [-0.101490, 0.706335, 0.032868, 0.047053, 0.519977, 0.315670, -0.342743, 0.000000, 0.000000, 0.000000], [0.410067, -0.253684, -0.138704, 0.599400, 0.524236, 0.108457, 0.319974, 0.000000, 0.000000, 0.000000], [-0.130556, -0.300171, 0.333926, 0.459793, -0.299393, 0.509766, -0.469509, 0.000000, 0.000000, 0.000000], [0.144004, -0.269432, -0.118548, -0.578204, 0.133669, 0.714650, 0.172349, 0.000000, 0.000000, 0.000000], [-0.287800, 0.391724, -0.161441, 0.286316, -0.401745, 0.336869, 0.617093, 0.000000, 0.000000, 0.000000], [-0.571115, -0.200356, 0.601562, -0.062310, 0.388773, -0.064720, 0.335548, 0.000000, 0.000000, 0.000000]]
fourier: [[59.775863, 60.863525, 64.341230, 65.952824, 205.266870], [9.950403, 10.446884, 11.155407, 11.160174, 123.899883], [40.559580, 41.175569, 42.106544, 43.684311, 134.500837], [12.286081, 12.293917, 12.679341, 13.649257, 14.492913], [14.299108, 14.505453, 14.595040, 15.129409, 72.022225], [28.461789, 29.277400, 29.459462, 30.335733, 150.231518], [56.147104, 56.198175, 59.074612, 61.676423, 132.750952]]
### 8
mean: [0.759875, 0.156511, -0.696388, 1.179474, 0.961811, 0.881238, -1.018714]
std: [2.108758, 1.429022, 1.816783, 2.154705, 2.114094, 0.905042, 1.023564]
pca: [[0.463160, 0.191863, -0.276295, 0.761866, -0.102410, -0.204122, 0.199346, 0.000000, 0.000000, 0.000000], [0.313167, -0.447240, 0.520212, 0.330536, 0.064359, 0.418646, -0.377653, 0.000000, 0.000000, 0.000000], [-0.398894, 0.227844, 0.708958, 0.264767, -0.262638, -0.232221, 0.305519, 0.000000, 0.000000, 0.000000], [0.473110, -0.333291, 0.095580, -0.375955, -0.618354, -0.130724, 0.339346, 0.000000, 0.000000, 0.000000], [0.464333, 0.205747, 0.340699, -0.250130, 0.658975, -0.168188, 0.317628, 0.000000, 0.000000, 0.000000], [0.196264, 0.674911, 0.057042, -0.130580, -0.262640, 0.645514, -0.001409, 0.000000, 0.000000, 0.000000], [-0.224356, -0.319895, -0.148169, 0.138732, 0.175502, 0.516796, 0.712918, 0.000000, 0.000000, 0.000000]]
fourier: [[34.187814, 34.624124, 39.138947, 39.712455, 68.388745], [22.720234, 24.003721, 24.549292, 25.470201, 26.124103], [29.843571, 29.904499, 32.781597, 33.890694, 62.674950], [35.798585, 36.005854, 38.708234, 40.055179, 106.152699], [34.759337, 34.780056, 38.887374, 39.842528, 86.563007], [14.082687, 14.103132, 17.368865, 17.536368, 79.311378], [16.479441, 16.559469, 19.129039, 19.523058, 91.684283]]
### 10
mean: [0.810505, 0.726355, -0.351829, 0.910062, -0.927348, -0.712771, -0.300232]
std: [2.290265, 2.081528, 1.965283, 2.462271, 2.136639, 2.133973, 1.269320]
pca: [[0.417295, -0.261242, -0.449506, 0.042342, -0.281012, 0.379785, 0.574947, 0.000000, 0.000000, 0.000000], [0.377732, -0.494259, 0.444787, 0.296381, -0.420716, 0.013710, -0.387505, 0.000000, 0.000000, 0.000000], [0.356379, 0.502682, 0.055713, -0.586444, -0.352359, 0.258764, -0.286653, 0.000000, 0.000000, 0.000000], [0.448990, -0.183831, 0.030611, -0.106613, 0.778738, 0.320060, -0.208421, 0.000000, 0.000000, 0.000000], [-0.389739, 0.018970, 0.550204, 0.009562, -0.004014, 0.689551, 0.263499, 0.000000, 0.000000, 0.000000], [-0.389012, -0.176770, -0.539939, 0.093868, -0.111429, 0.429963, -0.565502, 0.000000, 0.000000, 0.000000], [0.226625, 0.607759, -0.042535, 0.739040, 0.031763, 0.160716, -0.066652, 0.000000, 0.000000, 0.000000]]
fourier: [[39.015998, 40.160000, 40.508473, 40.932721, 72.945472], [35.450034, 35.699914, 36.533515, 38.061459, 65.371898], [31.664576, 32.386526, 35.242285, 35.920956, 36.892756], [41.995958, 43.016974, 43.579433, 43.715040, 81.905546], [37.401612, 37.456469, 37.942437, 38.343376, 83.461288], [36.703669, 37.560375, 37.980752, 38.174250, 64.149413], [19.593021, 22.990369, 23.442359, 24.969491, 27.020908]]
### 12
mean: [-0.982147]
std: [2.742754]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[47.117003, 48.187208, 48.843792, 49.078584, 88.393207]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.033927,
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-0.65464,
-0.091017
],
[
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-0.203209,
-0.378134,
0.352802
],
[
-0.921177,
-0.483444,
-0.417486,
-0.100695,
0.070364
],
[
1.15462,
0.19672,
-0.15419,
-0.522445,
-0.14771
],
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}
## Activation Signature
### 0
mean: [-1.471741, -2.972376, -3.706418, -0.041794, -4.341808, 2.756289, -2.887221]
std: [2.473284, 2.504019, 2.710105, 2.633366, 3.069695, 3.569710, 1.801374]
pca: [[0.209757, 0.632447, -0.159817, -0.425644, 0.384630, -0.154984, 0.421115, 0.000000, 0.000000, 0.000000], [-0.382306, 0.035372, -0.580459, 0.219496, -0.185337, 0.454924, 0.475577, 0.000000, 0.000000, 0.000000], [-0.426130, 0.132246, 0.149010, -0.128899, 0.575179, 0.527373, -0.391347, 0.000000, 0.000000, 0.000000], [0.348452, 0.452122, -0.153193, -0.154823, -0.513720, 0.399179, -0.451082, 0.000000, 0.000000, 0.000000], [-0.412015, 0.495669, -0.181547, 0.439111, -0.030528, -0.504190, -0.321930, 0.000000, 0.000000, 0.000000], [0.557045, 0.075176, -0.043394, 0.698867, 0.388324, 0.206214, 0.020764, 0.000000, 0.000000, 0.000000], [-0.163654, 0.354284, 0.746332, 0.220973, -0.266915, 0.186616, 0.368498, 0.000000, 0.000000, 0.000000]]
fourier: [[37.699506, 42.380386, 43.360006, 44.955265, 132.456728], [40.387694, 43.775535, 44.202090, 50.978071, 267.513848], [44.173477, 46.832117, 47.658386, 48.866649, 333.577605], [37.905147, 43.746879, 46.192582, 50.318967, 50.575135], [47.595469, 52.200045, 55.278968, 62.295044, 390.762707], [55.031809, 58.502955, 63.498052, 67.188336, 248.066033], [29.170302, 29.350312, 30.366494, 35.584457, 259.849934]]
### 2
mean: [2.763143, 1.948408, 2.755587, -0.754532, -2.633300, -3.023917, -0.400328]
std: [3.668697, 2.833815, 3.641997, 1.430480, 3.336581, 4.154121, 1.223518]
pca: [[-0.449789, -0.169656, -0.169111, 0.047064, 0.416525, 0.658389, 0.362110, 0.000000, 0.000000, 0.000000], [-0.346213, 0.602911, 0.361552, -0.259399, 0.031778, -0.263773, 0.498038, 0.000000, 0.000000, 0.000000], [-0.446285, 0.302482, -0.010162, 0.733399, 0.108822, -0.146464, -0.371567, 0.000000, 0.000000, 0.000000], [0.174674, -0.104634, 0.889847, 0.117841, 0.135408, 0.322684, -0.174258, 0.000000, 0.000000, 0.000000], [0.408751, 0.359723, -0.156600, -0.124198, 0.791362, -0.058859, -0.183996, 0.000000, 0.000000, 0.000000], [0.508996, 0.406202, -0.120679, 0.450979, -0.283606, 0.353996, 0.390170, 0.000000, 0.000000, 0.000000], [0.148290, -0.459207, 0.098300, 0.399912, 0.297713, -0.492538, 0.516062, 0.000000, 0.000000, 0.000000]]
fourier: [[60.746078, 62.063318, 63.605755, 66.891630, 248.682829], [46.107804, 46.802373, 49.191566, 52.258268, 175.356723], [60.398144, 62.155824, 62.398308, 66.753009, 248.002830], [23.423497, 23.673797, 24.571664, 26.347987, 67.907835], [55.774043, 56.847355, 58.395634, 59.991539, 236.996992], [69.579948, 70.848896, 71.815929, 75.382387, 272.152569], [19.073567, 20.194475, 21.064258, 22.677473, 36.029564]]
### 4
mean: [-4.852018, 4.189931, -4.592830, 1.326915, -3.602097, -2.008691, -0.209807]
std: [5.211311, 6.060999, 4.819839, 1.990328, 4.313817, 1.957593, 0.703041]
pca: [[-0.488216, 0.233774, 0.157418, 0.753695, -0.047674, -0.279518, 0.183724, 0.000000, 0.000000, 0.000000], [0.567534, 0.662087, -0.273226, 0.073174, 0.165164, -0.246570, 0.267326, 0.000000, 0.000000, 0.000000], [-0.451352, 0.491741, -0.141101, -0.228657, 0.039089, 0.651992, 0.235917, 0.000000, 0.000000, 0.000000], [0.186169, 0.322258, 0.671550, -0.132454, -0.623709, 0.039739, -0.048743, 0.000000, 0.000000, 0.000000], [-0.404140, 0.168075, -0.365344, -0.445211, -0.360028, -0.576915, -0.119505, 0.000000, 0.000000, 0.000000], [-0.183211, 0.263377, 0.475603, -0.264814, 0.660507, -0.235564, -0.330125, 0.000000, 0.000000, 0.000000], [-0.065401, -0.252417, 0.264583, -0.297357, 0.118397, -0.214661, 0.844681, 0.000000, 0.000000, 0.000000]]
fourier: [[88.783072, 89.345629, 89.564509, 93.932367, 436.681641], [101.795415, 102.274326, 105.855690, 111.659337, 377.093762], [81.246210, 82.876193, 83.384628, 86.248228, 413.354713], [32.437372, 33.263263, 34.557794, 37.123926, 119.422348], [73.323932, 73.408748, 74.184223, 77.979219, 324.188742], [33.138078, 33.821827, 34.256745, 34.721587, 180.782204], [11.394812, 11.544365, 12.794851, 13.298613, 18.882603]]
### 6
mean: [2.280743, -1.376665, 1.494454, -0.046193, 0.800247, -1.669239, -1.475011]
std: [3.573015, 0.605765, 2.393443, 0.764082, 0.841818, 1.680992, 3.333181]
pca: [[0.612178, 0.283635, 0.682775, -0.083164, -0.186422, 0.018281, 0.191324, 0.000000, 0.000000, 0.000000], [-0.101490, 0.706335, 0.032868, 0.047053, 0.519977, 0.315670, -0.342743, 0.000000, 0.000000, 0.000000], [0.410067, -0.253684, -0.138704, 0.599400, 0.524236, 0.108457, 0.319974, 0.000000, 0.000000, 0.000000], [-0.130556, -0.300171, 0.333926, 0.459793, -0.299393, 0.509766, -0.469509, 0.000000, 0.000000, 0.000000], [0.144004, -0.269432, -0.118548, -0.578204, 0.133669, 0.714650, 0.172349, 0.000000, 0.000000, 0.000000], [-0.287800, 0.391724, -0.161441, 0.286316, -0.401745, 0.336869, 0.617093, 0.000000, 0.000000, 0.000000], [-0.571115, -0.200356, 0.601562, -0.062310, 0.388773, -0.064720, 0.335548, 0.000000, 0.000000, 0.000000]]
fourier: [[59.775863, 60.863525, 64.341230, 65.952824, 205.266870], [9.950403, 10.446884, 11.155407, 11.160174, 123.899883], [40.559580, 41.175569, 42.106544, 43.684311, 134.500837], [12.286081, 12.293917, 12.679341, 13.649257, 14.492913], [14.299108, 14.505453, 14.595040, 15.129409, 72.022225], [28.461789, 29.277400, 29.459462, 30.335733, 150.231518], [56.147104, 56.198175, 59.074612, 61.676423, 132.750952]]
### 8
mean: [0.759875, 0.156511, -0.696388, 1.179474, 0.961811, 0.881238, -1.018714]
std: [2.108758, 1.429022, 1.816783, 2.154705, 2.114094, 0.905042, 1.023564]
pca: [[0.463160, 0.191863, -0.276295, 0.761866, -0.102410, -0.204122, 0.199346, 0.000000, 0.000000, 0.000000], [0.313167, -0.447240, 0.520212, 0.330536, 0.064359, 0.418646, -0.377653, 0.000000, 0.000000, 0.000000], [-0.398894, 0.227844, 0.708958, 0.264767, -0.262638, -0.232221, 0.305519, 0.000000, 0.000000, 0.000000], [0.473110, -0.333291, 0.095580, -0.375955, -0.618354, -0.130724, 0.339346, 0.000000, 0.000000, 0.000000], [0.464333, 0.205747, 0.340699, -0.250130, 0.658975, -0.168188, 0.317628, 0.000000, 0.000000, 0.000000], [0.196264, 0.674911, 0.057042, -0.130580, -0.262640, 0.645514, -0.001409, 0.000000, 0.000000, 0.000000], [-0.224356, -0.319895, -0.148169, 0.138732, 0.175502, 0.516796, 0.712918, 0.000000, 0.000000, 0.000000]]
fourier: [[34.187814, 34.624124, 39.138947, 39.712455, 68.388745], [22.720234, 24.003721, 24.549292, 25.470201, 26.124103], [29.843571, 29.904499, 32.781597, 33.890694, 62.674950], [35.798585, 36.005854, 38.708234, 40.055179, 106.152699], [34.759337, 34.780056, 38.887374, 39.842528, 86.563007], [14.082687, 14.103132, 17.368865, 17.536368, 79.311378], [16.479441, 16.559469, 19.129039, 19.523058, 91.684283]]
### 10
mean: [0.810505, 0.726355, -0.351829, 0.910062, -0.927348, -0.712771, -0.300232]
std: [2.290265, 2.081528, 1.965283, 2.462271, 2.136639, 2.133973, 1.269320]
pca: [[0.417295, -0.261242, -0.449506, 0.042342, -0.281012, 0.379785, 0.574947, 0.000000, 0.000000, 0.000000], [0.377732, -0.494259, 0.444787, 0.296381, -0.420716, 0.013710, -0.387505, 0.000000, 0.000000, 0.000000], [0.356379, 0.502682, 0.055713, -0.586444, -0.352359, 0.258764, -0.286653, 0.000000, 0.000000, 0.000000], [0.448990, -0.183831, 0.030611, -0.106613, 0.778738, 0.320060, -0.208421, 0.000000, 0.000000, 0.000000], [-0.389739, 0.018970, 0.550204, 0.009562, -0.004014, 0.689551, 0.263499, 0.000000, 0.000000, 0.000000], [-0.389012, -0.176770, -0.539939, 0.093868, -0.111429, 0.429963, -0.565502, 0.000000, 0.000000, 0.000000], [0.226625, 0.607759, -0.042535, 0.739040, 0.031763, 0.160716, -0.066652, 0.000000, 0.000000, 0.000000]]
fourier: [[39.015998, 40.160000, 40.508473, 40.932721, 72.945472], [35.450034, 35.699914, 36.533515, 38.061459, 65.371898], [31.664576, 32.386526, 35.242285, 35.920956, 36.892756], [41.995958, 43.016974, 43.579433, 43.715040, 81.905546], [37.401612, 37.456469, 37.942437, 38.343376, 83.461288], [36.703669, 37.560375, 37.980752, 38.174250, 64.149413], [19.593021, 22.990369, 23.442359, 24.969491, 27.020908]]
### 12
mean: [-0.982147]
std: [2.742754]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[47.117003, 48.187208, 48.843792, 49.078584, 88.393207]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
starts_with
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.994631, 0.033927, -0.574125, -0.65464, -0.091017], [-1.169476, 0.04017, -0.203209, -0.378134, 0.352802], [-0.921177, -0.483444, -0.417486, -0.100695, 0.070364], [1.15462, 0.19672, -0.15419, -0.522445, -0.14771], [-0.912471, -0.241701, -0.479115, -0.766042, -0.101937], [1.272596, 0.760049, 0.349058, -0.104754, -0.522075], [-0.061128, -0.617215, -0.151981, -0.173679, -0.517032]], "network.0.bias": [-0.055951, -0.789982, -0.677886, -0.212507, 0.003419, -0.072976, -0.35886], "network.2.weight": [[0.472838, 0.345957, 0.278649, 0.612871, -0.044568, 0.634529, 0.432356], [0.426079, 0.006733, 0.166664, 0.112192, -0.092273, 0.68078, -0.778365], [0.349344, 0.637926, 0.334108, 0.491896, -0.083488, 0.725649, -0.13601], [-0.334997, -1.059949, -0.254267, -0.079086, -0.203169, -0.285607, -0.069403], [-0.352727, -0.197566, 0.336452, -0.671754, 0.359145, -0.545176, 0.350391], [-0.557207, 0.076553, -0.540016, -0.756188, -0.148289, -0.683941, 0.29147], [-0.307351, -0.279806, 0.384908, 0.120927, -0.056505, -0.353612, 0.26323]], "network.2.bias": [0.232918, -0.30954, 0.113739, 0.204462, -0.277826, -0.145868, 0.639293], "network.4.weight": [[-0.539915, -0.567878, -0.454212, 0.253778, -0.706396, -0.297197, -0.710793], [0.496725, 0.826316, 0.482063, -0.287766, 0.476694, 0.528827, -0.672566], [-0.444729, -0.378831, -0.609619, -0.082367, -0.158285, 0.132517, -0.895512], [0.371553, 0.297478, -0.078931, -0.601653, 0.871164, -0.595321, -0.063074], [-0.407243, -0.353498, -0.514666, 0.142662, 0.24064, 0.009808, -0.470518], [-0.132631, -0.297336, -0.189236, -0.380449, 0.44604, -0.402596, -0.213082], [0.009914, -0.179292, -0.049971, -0.08062, 0.211942, -0.269013, 0.430966]], "network.4.bias": [-1.027503, 0.078337, -0.873566, 0.023896, -0.330093, -0.493494, 0.200381], "network.6.weight": [[-0.395527, 0.798035, -0.03012, -0.687636, 0.681725, 0.221072, -0.830613], [0.982308, -0.290667, 0.319724, 0.499596, 0.094138, 1.198304, -0.304803], [-0.060103, 0.434251, -0.092775, -0.11944, 0.163196, 0.379457, 0.095264], [-0.965976, 0.078558, -0.506905, -0.572086, -0.060274, -0.688238, -0.017238], [-0.038861, 0.190805, 0.111536, -0.129449, -0.113109, -0.447667, 0.177776], [0.424233, -0.483289, 0.208248, 0.588188, 0.027477, 0.543412, -0.05135], [-0.861955, -0.264185, -0.723386, -0.802055, -0.542203, -1.026783, 0.021332]], "network.6.bias": [-0.099457, -0.571835, -0.150608, 0.211381, 0.097937, -0.29407, 0.458013], "network.8.weight": [[0.44322, 0.248715, 0.22092, 0.170147, -0.226111, 0.817656, -0.714464], [0.293069, -0.068459, 0.017687, 0.281351, 0.380102, 0.352266, -0.238577], [0.110043, -0.764717, -0.657411, -0.150102, -0.504607, -0.117417, 0.719111], [-0.023011, -0.098343, 0.801422, 0.131811, 0.195786, 0.55975, -0.630398], [0.256996, 0.123214, 0.393967, -0.621066, -0.005163, 0.840562, -0.434829], [0.22331, -0.219541, 0.257335, -1.056969, -0.780921, -0.482228, -0.086477], [-0.117533, -0.128809, -0.397639, 0.418716, 0.568027, -0.185422, 0.244412]], "network.8.bias": [-0.124319, -0.759957, 0.057304, 0.129524, 0.113723, 0.624688, -0.72081], "network.10.weight": [[0.191219, 0.530202, -0.207489, -0.120179, 0.739159, 0.073614, 0.926919], [0.222505, 0.713571, -0.528964, -0.13117, 0.312522, 0.448616, 0.304745], [0.197007, 0.435087, 0.251055, 1.154191, -0.292492, -0.84316, 1.12395], [0.77212, 0.578064, -0.415373, -0.187502, 0.443435, -0.23989, 0.710015], [-0.178247, -0.53623, -0.205701, -0.047615, -0.54476, -0.049742, -0.268496], [-0.368636, -0.706581, 0.100949, -0.545776, 0.07155, 0.453341, -0.302067], [0.078577, 0.807375, 0.181093, 0.083955, 0.259542, -0.616446, 1.00508]], "network.10.bias": [-0.306994, -0.292709, -1.184984, -0.144514, 0.287592, 0.233868, -0.6489], "network.12.weight": [[-0.255758, -0.306989, -0.050843, -0.498706, 0.191169, 0.480562, -0.340871]], "network.12.bias": [0.168435]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6987268626689911, "train_acc": 0.445, "val_loss": 0.6869708895683289, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6876062154769897, "train_acc": 0.555, "val_loss": 0.6873727440834045, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6928719580173492, "train_acc": 0.555, "val_loss": 0.6819694638252258, "val_acc": 0.56}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6774286329746246, "train_acc": 0.555, "val_loss": 0.6265920996665955, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5911237001419067, "train_acc": 0.58, "val_loss": 0.57283616065979, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.560854434967041, "train_acc": 0.69, "val_loss": 0.4912031590938568, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.524874210357666, "train_acc": 0.745, "val_loss": 0.5289874076843262, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5328782498836517, "train_acc": 0.745, "val_loss": 0.473328560590744, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5043831318616867, "train_acc": 0.77, "val_loss": 0.48344048857688904, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.49989965558052063, "train_acc": 0.76, "val_loss": 0.44805908203125, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.49791671335697174, "train_acc": 0.75, "val_loss": 0.44725215435028076, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.5057916790246964, "train_acc": 0.745, "val_loss": 0.42449408769607544, "val_acc": 0.78}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.47956570982933044, "train_acc": 0.755, "val_loss": 0.4250447750091553, "val_acc": 0.78}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.4751415401697159, "train_acc": 0.76, "val_loss": 0.42705094814300537, "val_acc": 0.78}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6869708895683289, "final_val_loss": 0.6265920996665955, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.57283616065979, "final_val_loss": 0.42705094814300537, "initial_val_acc": 0.68, "final_val_acc": 0.78, "best_val_acc": 0.78, "best_epoch": 8}, "improvement": 0.21999999999999997, "first_improvement_epoch": 3}}
|
183
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.44, "improved_accuracy": 0.86, "improvement": 0.42, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4691, "learning_rate": 0.011065651197006691, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.043261
],
[
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],
[
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0.059433
],
[
0.160118,
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0.514975,
0.447641,
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],
[
0.309409,
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0.098822
],
[
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0.026781
]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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],
[
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],
[
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],
[
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],
[
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],
[
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]
],
"network.2.bias": [
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0.603174
],
"network.4.weight": [
[
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],
[
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0.002532,
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],
[
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],
[
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],
[
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],
[
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]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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[
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[
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[
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],
[
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],
"network.6.bias": [
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],
"network.8.weight": [
[
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],
"network.8.bias": [
-0.099238
]
}
## Activation Signature
### 0
mean: [-2.260755, -0.257481, 0.100764, 1.952955, 0.237052, 0.924891]
std: [1.245429, 1.320076, 0.764163, 1.638725, 0.709015, 1.677588]
pca: [[-0.435010, -0.371125, -0.069043, -0.330697, 0.660611, 0.349997, 0.000000, 0.000000, 0.000000, 0.000000], [-0.364135, 0.411055, 0.819422, -0.157721, -0.023189, 0.039677, 0.000000, 0.000000, 0.000000, 0.000000], [0.042566, -0.382258, 0.087303, -0.420984, -0.650251, 0.494358, 0.000000, 0.000000, 0.000000, 0.000000], [0.572733, 0.510436, -0.058220, -0.197493, 0.270865, 0.543757, 0.000000, 0.000000, 0.000000, 0.000000], [0.037355, -0.251313, 0.272047, 0.787964, 0.047675, 0.488136, 0.000000, 0.000000, 0.000000, 0.000000], [0.589018, -0.472732, 0.488631, -0.169250, 0.254140, -0.312393, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.375681, 20.435472, 20.911143, 23.493031, 203.467934], [18.746283, 19.772747, 21.070239, 23.173330, 28.139726], [11.981134, 12.439683, 13.234956, 13.540455, 17.251550], [26.125783, 26.645471, 27.253336, 30.011587, 175.766000], [11.365263, 12.682046, 12.727505, 14.459706, 21.334653], [27.883793, 28.162945, 30.085271, 32.747112, 83.240247]]
### 2
mean: [-0.559833, 1.571322, -0.749155, 1.104327, -0.671197, -0.106337]
std: [0.502992, 1.218688, 0.687925, 0.846060, 0.318484, 0.950672]
pca: [[-0.275289, -0.065647, 0.269509, 0.041466, 0.877802, -0.273890, 0.000000, 0.000000, 0.000000, 0.000000], [0.679127, 0.005199, 0.349783, 0.583275, -0.007673, -0.275940, 0.000000, 0.000000, 0.000000, 0.000000], [-0.325760, -0.377028, 0.617588, 0.258269, -0.168484, 0.524619, 0.000000, 0.000000, 0.000000, 0.000000], [0.434347, 0.426117, 0.173670, -0.311555, 0.325907, 0.629542, 0.000000, 0.000000, 0.000000, 0.000000], [-0.123431, 0.086439, -0.564159, 0.670714, 0.232219, 0.394000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.391140, 0.815148, 0.274162, 0.210817, -0.202180, -0.148519, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.909305, 7.999088, 8.381518, 9.468022, 50.385005], [19.639926, 21.630543, 22.086010, 23.347562, 141.418952], [10.273789, 10.461219, 12.963781, 12.997726, 67.423934], [13.439824, 14.134700, 15.409596, 16.331809, 99.389438], [4.615499, 6.486278, 6.860782, 7.090807, 60.407710], [13.261385, 13.286412, 13.991844, 14.220151, 18.688978]]
### 4
mean: [1.695658, 0.582835, 0.766761, 0.476275, 1.060709, -0.700399]
std: [1.369611, 0.630816, 0.252023, 0.506500, 0.899037, 0.285318]
pca: [[0.737576, -0.396425, -0.060579, 0.301655, -0.009017, -0.451754, 0.000000, 0.000000, 0.000000, 0.000000], [0.339267, -0.195098, 0.448161, 0.009466, -0.428527, 0.679899, 0.000000, 0.000000, 0.000000, 0.000000], [0.115475, 0.631701, 0.204355, 0.715999, 0.162901, 0.081649, 0.000000, 0.000000, 0.000000, 0.000000], [0.270148, 0.307265, 0.628963, -0.528882, 0.288805, -0.271827, 0.000000, 0.000000, 0.000000, 0.000000], [0.483665, 0.274718, -0.557367, -0.287547, 0.342120, 0.424512, 0.000000, 0.000000, 0.000000, 0.000000], [-0.143642, -0.485649, 0.217874, 0.184013, 0.767654, 0.269981, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.172853, 22.137388, 24.314098, 24.357238, 152.609197], [9.920872, 10.544239, 11.156493, 11.307917, 52.455141], [3.909735, 4.336059, 4.697343, 4.997253, 69.008518], [7.657553, 9.207169, 9.278023, 9.953462, 42.864709], [14.081299, 14.808685, 16.417368, 16.777554, 95.463790], [4.514541, 4.933178, 5.171719, 5.664496, 63.035869]]
### 6
mean: [1.776570, -0.402073, -1.253745, -0.535182, 0.276034, 1.058165]
std: [1.863616, 0.236967, 0.977963, 0.443865, 0.389540, 1.136302]
pca: [[0.753473, -0.040761, -0.266396, -0.235757, -0.087124, 0.544498, 0.000000, 0.000000, 0.000000, 0.000000], [-0.095572, -0.074892, 0.669794, -0.366074, 0.510052, 0.377452, 0.000000, 0.000000, 0.000000, 0.000000], [-0.394886, 0.572865, 0.058261, -0.138221, -0.517262, 0.475217, 0.000000, 0.000000, 0.000000, 0.000000], [-0.178863, 0.387817, -0.564491, -0.465208, 0.518248, -0.118138, 0.000000, 0.000000, 0.000000, 0.000000], [-0.157462, 0.055803, -0.219876, 0.713821, 0.416930, 0.490281, 0.000000, 0.000000, 0.000000, 0.000000], [0.458719, 0.714870, 0.331692, 0.255625, 0.149282, -0.284410, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.569737, 31.230127, 33.348375, 34.418532, 159.891272], [3.683989, 4.167119, 4.196916, 4.326520, 36.186579], [14.751592, 16.666603, 17.648990, 18.410083, 112.837073], [6.811332, 7.415354, 8.041431, 8.371843, 48.166370], [5.920298, 6.459923, 7.011913, 7.221839, 24.843058], [17.698091, 18.368886, 20.053997, 20.415654, 95.234809]]
### 8
mean: [-1.719148]
std: [1.854393]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.504299, 31.143563, 32.973267, 34.111284, 154.723324]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.241775,
-0.044901,
-0.37619,
-0.346019,
0.043261
],
[
-0.492298,
0.00685,
0.381594,
-0.323718,
0.366319
],
[
0.059266,
0.220935,
-0.402019,
-0.062244,
0.059433
],
[
0.160118,
0.217546,
0.514975,
0.447641,
-0.181935
],
[
0.309409,
-0.071305,
-0.198192,
-0.116506,
0.098822
],
[
0.522561,
0.567438,
-0.422513,
0.069833,
0.026781
]
],
"network.0.bias": [
-0.403576,
-0.212032,
0.524369,
-0.453999,
0.523905,
-0.059605
],
"network.2.weight": [
[
0.090555,
0.19145,
-0.133742,
-0.178611,
-0.275713,
-0.128777
],
[
0.279636,
0.123397,
0.035686,
0.322389,
0.586555,
0.549764
],
[
0.217194,
0.460704,
-0.40455,
-0.434815,
-0.440942,
0.094877
],
[
-0.236118,
-0.102176,
0.185476,
0.450616,
0.228505,
0.151932
],
[
-0.061588,
-0.281204,
-0.038151,
0.022317,
0.251649,
-0.265956
],
[
0.061365,
-0.134019,
-0.563387,
0.163845,
-0.502566,
-0.510454
]
],
"network.2.bias": [
0.031769,
-0.006422,
0.165774,
-0.098021,
-0.394494,
0.603174
],
"network.4.weight": [
[
-0.082483,
0.621737,
-0.558639,
0.634076,
-0.036182,
-0.675592
],
[
-0.165843,
0.382674,
-0.201357,
0.159784,
0.002532,
-0.226719
],
[
0.327445,
0.173665,
-0.165825,
0.054416,
0.038739,
0.297779
],
[
-0.047898,
0.368014,
-0.053603,
0.084998,
0.359472,
0.096865
],
[
-0.031699,
0.30962,
-0.246803,
0.599502,
0.325434,
-0.281252
],
[
0.182444,
-0.092251,
-0.043012,
-0.214807,
-0.165243,
-0.109854
]
],
"network.4.bias": [
0.254223,
-0.114201,
0.341532,
-0.224609,
0.010754,
-0.283134
],
"network.6.weight": [
[
0.621354,
0.608595,
0.201323,
0.620421,
0.321223,
-0.13137
],
[
-0.254744,
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-0.315145,
0.059486,
0.291654,
0.093548
],
[
-0.194295,
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],
[
-0.054243,
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-0.343177,
-0.03373
],
[
0.00489,
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0.065352,
-0.100342,
-0.264157,
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],
[
0.563375,
0.029295,
-0.433282,
0.649788,
0.13468,
0.278934
]
],
"network.6.bias": [
-0.432899,
0.037616,
0.008254,
-0.006897,
0.664242,
-0.0422
],
"network.8.weight": [
[
-0.670676,
0.046859,
-0.108403,
0.206159,
0.281103,
-0.487065
]
],
"network.8.bias": [
-0.099238
]
}
## Activation Signature
### 0
mean: [-2.260755, -0.257481, 0.100764, 1.952955, 0.237052, 0.924891]
std: [1.245429, 1.320076, 0.764163, 1.638725, 0.709015, 1.677588]
pca: [[-0.435010, -0.371125, -0.069043, -0.330697, 0.660611, 0.349997, 0.000000, 0.000000, 0.000000, 0.000000], [-0.364135, 0.411055, 0.819422, -0.157721, -0.023189, 0.039677, 0.000000, 0.000000, 0.000000, 0.000000], [0.042566, -0.382258, 0.087303, -0.420984, -0.650251, 0.494358, 0.000000, 0.000000, 0.000000, 0.000000], [0.572733, 0.510436, -0.058220, -0.197493, 0.270865, 0.543757, 0.000000, 0.000000, 0.000000, 0.000000], [0.037355, -0.251313, 0.272047, 0.787964, 0.047675, 0.488136, 0.000000, 0.000000, 0.000000, 0.000000], [0.589018, -0.472732, 0.488631, -0.169250, 0.254140, -0.312393, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.375681, 20.435472, 20.911143, 23.493031, 203.467934], [18.746283, 19.772747, 21.070239, 23.173330, 28.139726], [11.981134, 12.439683, 13.234956, 13.540455, 17.251550], [26.125783, 26.645471, 27.253336, 30.011587, 175.766000], [11.365263, 12.682046, 12.727505, 14.459706, 21.334653], [27.883793, 28.162945, 30.085271, 32.747112, 83.240247]]
### 2
mean: [-0.559833, 1.571322, -0.749155, 1.104327, -0.671197, -0.106337]
std: [0.502992, 1.218688, 0.687925, 0.846060, 0.318484, 0.950672]
pca: [[-0.275289, -0.065647, 0.269509, 0.041466, 0.877802, -0.273890, 0.000000, 0.000000, 0.000000, 0.000000], [0.679127, 0.005199, 0.349783, 0.583275, -0.007673, -0.275940, 0.000000, 0.000000, 0.000000, 0.000000], [-0.325760, -0.377028, 0.617588, 0.258269, -0.168484, 0.524619, 0.000000, 0.000000, 0.000000, 0.000000], [0.434347, 0.426117, 0.173670, -0.311555, 0.325907, 0.629542, 0.000000, 0.000000, 0.000000, 0.000000], [-0.123431, 0.086439, -0.564159, 0.670714, 0.232219, 0.394000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.391140, 0.815148, 0.274162, 0.210817, -0.202180, -0.148519, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.909305, 7.999088, 8.381518, 9.468022, 50.385005], [19.639926, 21.630543, 22.086010, 23.347562, 141.418952], [10.273789, 10.461219, 12.963781, 12.997726, 67.423934], [13.439824, 14.134700, 15.409596, 16.331809, 99.389438], [4.615499, 6.486278, 6.860782, 7.090807, 60.407710], [13.261385, 13.286412, 13.991844, 14.220151, 18.688978]]
### 4
mean: [1.695658, 0.582835, 0.766761, 0.476275, 1.060709, -0.700399]
std: [1.369611, 0.630816, 0.252023, 0.506500, 0.899037, 0.285318]
pca: [[0.737576, -0.396425, -0.060579, 0.301655, -0.009017, -0.451754, 0.000000, 0.000000, 0.000000, 0.000000], [0.339267, -0.195098, 0.448161, 0.009466, -0.428527, 0.679899, 0.000000, 0.000000, 0.000000, 0.000000], [0.115475, 0.631701, 0.204355, 0.715999, 0.162901, 0.081649, 0.000000, 0.000000, 0.000000, 0.000000], [0.270148, 0.307265, 0.628963, -0.528882, 0.288805, -0.271827, 0.000000, 0.000000, 0.000000, 0.000000], [0.483665, 0.274718, -0.557367, -0.287547, 0.342120, 0.424512, 0.000000, 0.000000, 0.000000, 0.000000], [-0.143642, -0.485649, 0.217874, 0.184013, 0.767654, 0.269981, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.172853, 22.137388, 24.314098, 24.357238, 152.609197], [9.920872, 10.544239, 11.156493, 11.307917, 52.455141], [3.909735, 4.336059, 4.697343, 4.997253, 69.008518], [7.657553, 9.207169, 9.278023, 9.953462, 42.864709], [14.081299, 14.808685, 16.417368, 16.777554, 95.463790], [4.514541, 4.933178, 5.171719, 5.664496, 63.035869]]
### 6
mean: [1.776570, -0.402073, -1.253745, -0.535182, 0.276034, 1.058165]
std: [1.863616, 0.236967, 0.977963, 0.443865, 0.389540, 1.136302]
pca: [[0.753473, -0.040761, -0.266396, -0.235757, -0.087124, 0.544498, 0.000000, 0.000000, 0.000000, 0.000000], [-0.095572, -0.074892, 0.669794, -0.366074, 0.510052, 0.377452, 0.000000, 0.000000, 0.000000, 0.000000], [-0.394886, 0.572865, 0.058261, -0.138221, -0.517262, 0.475217, 0.000000, 0.000000, 0.000000, 0.000000], [-0.178863, 0.387817, -0.564491, -0.465208, 0.518248, -0.118138, 0.000000, 0.000000, 0.000000, 0.000000], [-0.157462, 0.055803, -0.219876, 0.713821, 0.416930, 0.490281, 0.000000, 0.000000, 0.000000, 0.000000], [0.458719, 0.714870, 0.331692, 0.255625, 0.149282, -0.284410, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.569737, 31.230127, 33.348375, 34.418532, 159.891272], [3.683989, 4.167119, 4.196916, 4.326520, 36.186579], [14.751592, 16.666603, 17.648990, 18.410083, 112.837073], [6.811332, 7.415354, 8.041431, 8.371843, 48.166370], [5.920298, 6.459923, 7.011913, 7.221839, 24.843058], [17.698091, 18.368886, 20.053997, 20.415654, 95.234809]]
### 8
mean: [-1.719148]
std: [1.854393]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.504299, 31.143563, 32.973267, 34.111284, 154.723324]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.2607548236846924, "std": 1.2454290390014648, "pca": [-0.43500956892967224, -0.37112489342689514, -0.06904285401105881, -0.33069705963134766, 0.6606114506721497, 0.3499971628189087, 0.0, 0.0, 0.0, 0.0], "fourier": [20.375680951269057, 20.435471575282637, 20.911143239913162, 23.49303113870259, 203.4679335653782]}, "1": {"mean": -0.2574814558029175, "std": 1.3200761079788208, "pca": [-0.3641353249549866, 0.41105467081069946, 0.8194215893745422, -0.15772072970867157, -0.023189209401607513, 0.039676766842603683, 0.0, 0.0, 0.0, 0.0], "fourier": [18.746282635304397, 19.77274716779946, 21.070238570325145, 23.173330441117287, 28.139726480524626]}, "2": {"mean": 0.10076431930065155, "std": 0.764162540435791, "pca": [0.04256638512015343, -0.38225844502449036, 0.08730269223451614, -0.4209844172000885, -0.6502513885498047, 0.49435827136039734, 0.0, 0.0, 0.0, 0.0], "fourier": [11.981134074642052, 12.439683386924415, 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32.74711201566544, 83.24024655669928]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": -0.559833288192749, "std": 0.502991795539856, "pca": [-0.27528876066207886, -0.06564650684595108, 0.26950934529304504, 0.04146592691540718, 0.8778019547462463, -0.27388983964920044, 0.0, 0.0, 0.0, 0.0], "fourier": [7.909305163695816, 7.999088245939252, 8.381518370144683, 9.468022364939133, 50.38500515371561]}, "1": {"mean": 1.571321725845337, "std": 1.2186883687973022, "pca": [0.6791265606880188, 0.005199459381401539, 0.34978270530700684, 0.5832754969596863, -0.007673388347029686, -0.27594009041786194, 0.0, 0.0, 0.0, 0.0], "fourier": [19.639926018699573, 21.630542557548196, 22.086009672243385, 23.347561763164794, 141.41895180940628]}, "2": {"mean": -0.749154806137085, "std": 0.6879246234893799, "pca": [-0.3257603347301483, -0.37702757120132446, 0.6175884008407593, 0.2582685947418213, 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[-0.1436421275138855, -0.485649436712265, 0.21787436306476593, 0.18401308357715607, 0.7676535248756409, 0.26998066902160645, 0.0, 0.0, 0.0, 0.0], "fourier": [4.514540743893117, 4.933178089688722, 5.17171882784654, 5.664496228055987, 63.03586855530739]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "6": {"neuron_profiles": {"0": {"mean": 1.7765698432922363, "std": 1.8636163473129272, "pca": [0.7534728646278381, -0.04076145216822624, -0.2663958966732025, -0.2357574999332428, -0.08712387830018997, 0.5444981455802917, 0.0, 0.0, 0.0, 0.0], "fourier": [28.56973661368544, 31.230126913961957, 33.348374819545526, 34.4185316655099, 159.89127178490162]}, "1": {"mean": -0.40207308530807495, "std": 0.23696693778038025, "pca": [-0.09557213634252548, -0.07489153742790222, 0.6697941422462463, -0.366073876619339, 0.5100520849227905, 0.3774517774581909, 0.0, 0.0, 0.0, 0.0], "fourier": [3.683988974264782, 4.167118525455053, 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7.221839371913247, 24.843057543039322]}, "5": {"mean": 1.0581645965576172, "std": 1.136301875114441, "pca": [0.458719402551651, 0.7148697376251221, 0.3316921293735504, 0.25562480092048645, 0.14928199350833893, -0.284409761428833, 0.0, 0.0, 0.0, 0.0], "fourier": [17.69809065267275, 18.36888570668463, 20.053996846409998, 20.41565447256717, 95.2348091006279]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -1.71914803981781, "std": 1.8543928861618042, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [28.504298589547115, 31.14356323199725, 32.97326677351372, 34.11128356803046, 154.72332382947206]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.241775, -0.044901, -0.37619, -0.346019, 0.043261], [-0.492298, 0.00685, 0.381594, -0.323718, 0.366319], [0.059266, 0.220935, -0.402019, -0.062244, 0.059433], [0.160118, 0.217546, 0.514975, 0.447641, -0.181935], [0.309409, -0.071305, -0.198192, -0.116506, 0.098822], [0.522561, 0.567438, -0.422513, 0.069833, 0.026781]], "network.0.bias": [-0.403576, -0.212032, 0.524369, -0.453999, 0.523905, -0.059605], "network.2.weight": [[0.090555, 0.19145, -0.133742, -0.178611, -0.275713, -0.128777], [0.279636, 0.123397, 0.035686, 0.322389, 0.586555, 0.549764], [0.217194, 0.460704, -0.40455, -0.434815, -0.440942, 0.094877], [-0.236118, -0.102176, 0.185476, 0.450616, 0.228505, 0.151932], [-0.061588, -0.281204, -0.038151, 0.022317, 0.251649, -0.265956], [0.061365, -0.134019, -0.563387, 0.163845, -0.502566, -0.510454]], "network.2.bias": [0.031769, -0.006422, 0.165774, -0.098021, -0.394494, 0.603174], "network.4.weight": [[-0.082483, 0.621737, -0.558639, 0.634076, -0.036182, -0.675592], [-0.165843, 0.382674, -0.201357, 0.159784, 0.002532, -0.226719], [0.327445, 0.173665, -0.165825, 0.054416, 0.038739, 0.297779], [-0.047898, 0.368014, -0.053603, 0.084998, 0.359472, 0.096865], [-0.031699, 0.30962, -0.246803, 0.599502, 0.325434, -0.281252], [0.182444, -0.092251, -0.043012, -0.214807, -0.165243, -0.109854]], "network.4.bias": [0.254223, -0.114201, 0.341532, -0.224609, 0.010754, -0.283134], "network.6.weight": [[0.621354, 0.608595, 0.201323, 0.620421, 0.321223, -0.13137], [-0.254744, -0.177937, -0.315145, 0.059486, 0.291654, 0.093548], [-0.194295, -0.317715, -0.323685, -0.305351, -0.328436, -0.19747], [-0.054243, 0.090078, -0.015111, -0.232576, -0.343177, -0.03373], [0.00489, -0.199554, 0.065352, -0.100342, -0.264157, -0.071484], [0.563375, 0.029295, -0.433282, 0.649788, 0.13468, 0.278934]], "network.6.bias": [-0.432899, 0.037616, 0.008254, -0.006897, 0.664242, -0.0422], "network.8.weight": [[-0.670676, 0.046859, -0.108403, 0.206159, 0.281103, -0.487065]], "network.8.bias": [-0.099238]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6698768734931946, "train_acc": 0.585, "val_loss": 0.7239654064178467, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6676155030727386, "train_acc": 0.585, "val_loss": 0.7181248664855957, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6650732755661011, "train_acc": 0.585, "val_loss": 0.7124356031417847, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6541619896888733, "train_acc": 0.585, "val_loss": 0.7016282677650452, "val_acc": 0.44}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6438749432563782, "train_acc": 0.585, "val_loss": 0.6849597096443176, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.644842654466629, "train_acc": 0.515, "val_loss": 0.6606761813163757, "val_acc": 0.44}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6270681321620941, "train_acc": 0.515, "val_loss": 0.6393476128578186, "val_acc": 0.44}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6287081241607666, "train_acc": 0.515, "val_loss": 0.6193762421607971, "val_acc": 0.44}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5912093222141266, "train_acc": 0.515, "val_loss": 0.5984429121017456, "val_acc": 0.44}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5589730441570282, "train_acc": 0.515, "val_loss": 0.5791004300117493, "val_acc": 0.44}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.5352859497070312, "train_acc": 0.515, "val_loss": 0.5585111379623413, "val_acc": 0.44}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.5078283846378326, "train_acc": 0.515, "val_loss": 0.5357906818389893, "val_acc": 0.44}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.496968612074852, "train_acc": 0.515, "val_loss": 0.512770414352417, "val_acc": 0.5}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.47852030396461487, "train_acc": 0.65, "val_loss": 0.48752158880233765, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.44071008265018463, "train_acc": 0.815, "val_loss": 0.4635389745235443, "val_acc": 0.86}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7239654064178467, "final_val_loss": 0.6849597096443176, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.6606761813163757, "final_val_loss": 0.4635389745235443, "initial_val_acc": 0.44, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 14}, "improvement": 0.42, "first_improvement_epoch": 4}}
|
184
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.54, "improved_accuracy": 0.74, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3005, "learning_rate": 0.013673192385551392, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "has_majority", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["has_majority"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.449865,
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0.080779
],
[
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[
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[
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[
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[
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[
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"network.0.bias": [
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"network.2.weight": [
[
0.252608,
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[
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0.151943,
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[
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[
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[
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[
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[
0.026608,
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],
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"network.4.weight": [
[
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[
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[
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"network.6.weight": [
[
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[
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"network.6.bias": [
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"network.8.weight": [
[
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"network.10.weight": [
[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [1.675526, 1.667158, 1.803972, 0.231131, -0.288879, -1.970559, -0.317473]
std: [1.516499, 1.362329, 1.668977, 0.916867, 1.018762, 1.313649, 0.827585]
pca: [[0.459386, 0.543185, 0.332319, -0.127309, -0.303584, 0.497548, -0.165993, 0.000000, 0.000000, 0.000000], [0.461269, -0.279227, -0.164873, -0.337072, -0.455657, -0.184478, 0.571670, 0.000000, 0.000000, 0.000000], [0.548044, -0.494523, -0.188905, -0.014093, 0.474250, 0.361810, -0.251777, 0.000000, 0.000000, 0.000000], [0.201502, -0.123560, -0.163459, 0.834892, -0.443375, -0.047800, -0.146630, 0.000000, 0.000000, 0.000000], [-0.148026, -0.526207, 0.471044, -0.254791, -0.401082, -0.079278, -0.497234, 0.000000, 0.000000, 0.000000], [-0.461283, -0.221224, -0.244410, -0.017484, -0.247436, 0.751491, 0.228631, 0.000000, 0.000000, 0.000000], [0.023387, -0.203293, 0.719971, 0.328189, 0.237964, 0.119158, 0.511110, 0.000000, 0.000000, 0.000000]]
fourier: [[21.705074, 24.885842, 28.117477, 28.288733, 150.797318], [21.548497, 21.781780, 24.328428, 25.618430, 150.044206], [25.193781, 26.449406, 29.350608, 29.433089, 162.357436], [13.040210, 13.162563, 15.374004, 16.131057, 20.801751], [15.768137, 16.777885, 16.964523, 21.216972, 25.999143], [18.443753, 20.395282, 25.997594, 27.027047, 177.350303], [11.927795, 11.977697, 12.914563, 18.226152, 28.572577]]
### 2
mean: [1.076955, -0.897058, -1.033923, 1.362057, 0.737811, 0.867405, 0.785820]
std: [1.008812, 0.536593, 0.616485, 0.885274, 0.665297, 0.445807, 0.740702]
pca: [[0.554451, 0.165920, 0.404796, -0.421995, -0.363142, 0.206203, 0.385646, 0.000000, 0.000000, 0.000000], [-0.271643, -0.373246, 0.011330, 0.362872, -0.212267, 0.688867, 0.368100, 0.000000, 0.000000, 0.000000], [-0.321164, 0.285549, 0.437561, 0.437670, -0.296368, -0.480834, 0.336549, 0.000000, 0.000000, 0.000000], [0.481375, 0.153765, -0.523025, 0.474581, -0.479813, -0.056509, -0.111527, 0.000000, 0.000000, 0.000000], [0.348169, -0.250866, 0.600966, 0.402659, 0.121564, 0.093953, -0.518600, 0.000000, 0.000000, 0.000000], [0.104130, 0.702365, 0.003170, 0.270092, 0.519136, 0.368715, 0.132019, 0.000000, 0.000000, 0.000000], [0.389693, -0.414399, -0.099128, 0.195902, 0.469826, -0.322134, 0.551091, 0.000000, 0.000000, 0.000000]]
fourier: [[15.663534, 15.783006, 18.008673, 19.577381, 96.925934], [8.920064, 9.338352, 9.629415, 10.636920, 80.735191], [9.535727, 10.233707, 10.470033, 11.761879, 93.053059], [12.935926, 13.995167, 17.029924, 18.341114, 122.585168], [10.434693, 11.160194, 11.242940, 12.747886, 66.403007], [6.528905, 7.209619, 7.925357, 8.469432, 78.066427], [12.253589, 12.466642, 13.183659, 13.576210, 70.723827]]
### 4
mean: [0.221854, 0.959091, 0.639118, 0.218254, -1.005501, -0.407318, 0.068633]
std: [0.302406, 0.963550, 0.557164, 0.259040, 0.733872, 0.410315, 0.121375]
pca: [[0.206810, -0.184980, -0.363920, 0.565054, 0.345913, 0.592985, -0.000765, 0.000000, 0.000000, 0.000000], [0.689443, -0.098541, 0.221482, 0.285187, 0.239237, -0.546358, 0.169796, 0.000000, 0.000000, 0.000000], [0.377137, -0.450968, 0.350057, -0.419142, -0.222926, 0.472438, 0.288586, 0.000000, 0.000000, 0.000000], [-0.052508, 0.632305, 0.204237, -0.067467, 0.336522, 0.209691, 0.627656, 0.000000, 0.000000, 0.000000], [-0.512944, -0.391385, 0.364052, 0.501924, -0.153064, -0.108245, 0.405092, 0.000000, 0.000000, 0.000000], [-0.271558, -0.394759, 0.063318, -0.357476, 0.788530, -0.109011, -0.070420, 0.000000, 0.000000, 0.000000], [0.007227, 0.209461, 0.719522, 0.198579, 0.122303, 0.243091, -0.569979, 0.000000, 0.000000, 0.000000]]
fourier: [[4.435025, 4.935589, 5.134195, 5.386285, 19.966883], [15.614333, 16.011039, 16.107521, 16.567826, 86.318213], [7.601076, 9.415038, 9.744949, 11.107154, 57.520609], [4.206637, 4.263673, 4.291056, 4.330740, 19.642904], [11.410177, 11.564467, 13.710253, 14.320923, 90.495077], [5.865614, 6.473034, 7.797110, 7.845262, 36.658578], [1.680252, 2.081378, 2.190621, 2.799438, 6.176958]]
### 6
mean: [0.131899, 0.346412, 0.163797, -0.501171, 0.145783, 0.607129, -0.487286]
std: [0.260836, 0.515594, 0.252903, 0.631873, 0.301504, 0.600726, 0.158541]
pca: [[0.219629, 0.609281, -0.328755, -0.342281, 0.405613, -0.097840, 0.425686, 0.000000, 0.000000, 0.000000], [-0.460726, -0.115121, -0.167233, 0.262449, -0.016060, 0.537570, 0.623212, 0.000000, 0.000000, 0.000000], [0.221103, 0.357698, 0.217419, 0.412193, 0.387486, 0.567721, -0.365430, 0.000000, 0.000000, 0.000000], [0.563470, -0.277134, -0.383075, 0.602418, 0.037295, -0.228029, 0.206534, 0.000000, 0.000000, 0.000000], [-0.266440, 0.227936, 0.568871, 0.413617, 0.198994, -0.517016, 0.274695, 0.000000, 0.000000, 0.000000], [-0.536544, -0.041482, -0.528672, 0.168011, 0.430496, -0.236761, -0.401616, 0.000000, 0.000000, 0.000000], [0.119335, -0.597576, 0.258507, -0.286088, 0.677317, 0.061488, 0.132099, 0.000000, 0.000000, 0.000000]]
fourier: [[3.760745, 4.085762, 4.725996, 5.354835, 11.870911], [7.806166, 8.523711, 8.826072, 9.486367, 31.177055], [3.405027, 4.233011, 4.659170, 4.808144, 14.741695], [10.170720, 10.292563, 10.644255, 11.497921, 45.105385], [4.778491, 4.917631, 5.060688, 5.393879, 13.120477], [9.199467, 10.038098, 10.203107, 10.751301, 54.641563], [2.277948, 2.436114, 2.744851, 2.779530, 43.855755]]
### 8
mean: [0.586785, -0.402561, -0.247545, -0.098768, 0.331353, 0.521708, -0.121051]
std: [0.548324, 0.198906, 0.043130, 0.179486, 0.257290, 0.406585, 0.037548]
pca: [[0.706896, 0.104958, -0.081713, -0.529651, -0.425191, 0.109381, -0.096556, 0.000000, 0.000000, 0.000000], [-0.252517, 0.430667, 0.659412, -0.285501, -0.183486, -0.443103, -0.066473, 0.000000, 0.000000, 0.000000], [-0.033827, 0.478462, 0.085947, 0.468182, -0.485715, 0.466800, 0.299212, 0.000000, 0.000000, 0.000000], [0.230576, -0.193739, 0.275331, -0.117780, 0.215877, -0.055108, 0.877486, 0.000000, 0.000000, 0.000000], [0.325929, 0.682117, -0.281480, 0.143228, 0.514387, -0.251471, 0.030164, 0.000000, 0.000000, 0.000000], [0.523488, -0.230966, 0.518131, 0.545584, 0.079609, -0.090757, -0.303181, 0.000000, 0.000000, 0.000000], [-0.044215, 0.135718, 0.357230, -0.294477, 0.481760, 0.706599, -0.184176, 0.000000, 0.000000, 0.000000]]
fourier: [[8.297667, 8.449199, 9.722554, 10.167365, 52.810626], [2.905311, 3.249545, 3.544070, 3.726259, 36.230451], [0.680034, 0.684722, 0.704966, 0.824954, 22.279084], [2.703186, 2.720674, 3.095618, 3.477285, 8.889157], [3.809468, 3.837978, 4.559738, 4.779054, 29.821792], [6.104878, 6.118189, 7.086961, 7.794138, 46.953750], [0.560061, 0.561810, 0.599597, 0.718612, 10.894564]]
### 10
mean: [-0.134230]
std: [0.425363]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.510435, 6.525551, 7.488110, 7.882703, 12.080741]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
has_majority
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.449865,
0.510394,
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0.112641,
0.080779
],
[
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],
[
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0.230967,
0.560498,
0.217367
],
[
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0.104961,
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],
[
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],
[
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],
[
0.143202,
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0.335636,
-0.18506
]
],
"network.0.bias": [
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-0.244669,
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-0.153605,
0.20748,
-0.357363,
-0.15186
],
"network.2.weight": [
[
0.252608,
0.435937,
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0.421286,
0.062429,
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],
[
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0.151943,
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],
[
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],
[
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],
[
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0.192796,
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-0.314109,
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],
[
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-0.375376,
0.252895,
0.230951,
0.014086,
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],
[
0.026608,
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]
],
"network.2.bias": [
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-0.101288
],
"network.4.weight": [
[
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0.186409,
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0.015533
],
[
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0.225868,
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],
[
0.120625,
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0.480255,
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],
[
0.034285,
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0.315775,
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[
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[
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[
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]
],
"network.4.bias": [
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"network.6.weight": [
[
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[
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[
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[
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[
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0.351597
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[
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],
[
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-0.192492,
-0.180117
]
],
"network.6.bias": [
0.332062,
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0.061419,
-0.335118
],
"network.8.weight": [
[
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-0.198466,
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0.219591
],
[
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0.292805,
-0.200085,
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],
[
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[
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[
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],
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],
[
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]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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-0.286166,
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]
],
"network.10.bias": [
0.35024
]
}
## Activation Signature
### 0
mean: [1.675526, 1.667158, 1.803972, 0.231131, -0.288879, -1.970559, -0.317473]
std: [1.516499, 1.362329, 1.668977, 0.916867, 1.018762, 1.313649, 0.827585]
pca: [[0.459386, 0.543185, 0.332319, -0.127309, -0.303584, 0.497548, -0.165993, 0.000000, 0.000000, 0.000000], [0.461269, -0.279227, -0.164873, -0.337072, -0.455657, -0.184478, 0.571670, 0.000000, 0.000000, 0.000000], [0.548044, -0.494523, -0.188905, -0.014093, 0.474250, 0.361810, -0.251777, 0.000000, 0.000000, 0.000000], [0.201502, -0.123560, -0.163459, 0.834892, -0.443375, -0.047800, -0.146630, 0.000000, 0.000000, 0.000000], [-0.148026, -0.526207, 0.471044, -0.254791, -0.401082, -0.079278, -0.497234, 0.000000, 0.000000, 0.000000], [-0.461283, -0.221224, -0.244410, -0.017484, -0.247436, 0.751491, 0.228631, 0.000000, 0.000000, 0.000000], [0.023387, -0.203293, 0.719971, 0.328189, 0.237964, 0.119158, 0.511110, 0.000000, 0.000000, 0.000000]]
fourier: [[21.705074, 24.885842, 28.117477, 28.288733, 150.797318], [21.548497, 21.781780, 24.328428, 25.618430, 150.044206], [25.193781, 26.449406, 29.350608, 29.433089, 162.357436], [13.040210, 13.162563, 15.374004, 16.131057, 20.801751], [15.768137, 16.777885, 16.964523, 21.216972, 25.999143], [18.443753, 20.395282, 25.997594, 27.027047, 177.350303], [11.927795, 11.977697, 12.914563, 18.226152, 28.572577]]
### 2
mean: [1.076955, -0.897058, -1.033923, 1.362057, 0.737811, 0.867405, 0.785820]
std: [1.008812, 0.536593, 0.616485, 0.885274, 0.665297, 0.445807, 0.740702]
pca: [[0.554451, 0.165920, 0.404796, -0.421995, -0.363142, 0.206203, 0.385646, 0.000000, 0.000000, 0.000000], [-0.271643, -0.373246, 0.011330, 0.362872, -0.212267, 0.688867, 0.368100, 0.000000, 0.000000, 0.000000], [-0.321164, 0.285549, 0.437561, 0.437670, -0.296368, -0.480834, 0.336549, 0.000000, 0.000000, 0.000000], [0.481375, 0.153765, -0.523025, 0.474581, -0.479813, -0.056509, -0.111527, 0.000000, 0.000000, 0.000000], [0.348169, -0.250866, 0.600966, 0.402659, 0.121564, 0.093953, -0.518600, 0.000000, 0.000000, 0.000000], [0.104130, 0.702365, 0.003170, 0.270092, 0.519136, 0.368715, 0.132019, 0.000000, 0.000000, 0.000000], [0.389693, -0.414399, -0.099128, 0.195902, 0.469826, -0.322134, 0.551091, 0.000000, 0.000000, 0.000000]]
fourier: [[15.663534, 15.783006, 18.008673, 19.577381, 96.925934], [8.920064, 9.338352, 9.629415, 10.636920, 80.735191], [9.535727, 10.233707, 10.470033, 11.761879, 93.053059], [12.935926, 13.995167, 17.029924, 18.341114, 122.585168], [10.434693, 11.160194, 11.242940, 12.747886, 66.403007], [6.528905, 7.209619, 7.925357, 8.469432, 78.066427], [12.253589, 12.466642, 13.183659, 13.576210, 70.723827]]
### 4
mean: [0.221854, 0.959091, 0.639118, 0.218254, -1.005501, -0.407318, 0.068633]
std: [0.302406, 0.963550, 0.557164, 0.259040, 0.733872, 0.410315, 0.121375]
pca: [[0.206810, -0.184980, -0.363920, 0.565054, 0.345913, 0.592985, -0.000765, 0.000000, 0.000000, 0.000000], [0.689443, -0.098541, 0.221482, 0.285187, 0.239237, -0.546358, 0.169796, 0.000000, 0.000000, 0.000000], [0.377137, -0.450968, 0.350057, -0.419142, -0.222926, 0.472438, 0.288586, 0.000000, 0.000000, 0.000000], [-0.052508, 0.632305, 0.204237, -0.067467, 0.336522, 0.209691, 0.627656, 0.000000, 0.000000, 0.000000], [-0.512944, -0.391385, 0.364052, 0.501924, -0.153064, -0.108245, 0.405092, 0.000000, 0.000000, 0.000000], [-0.271558, -0.394759, 0.063318, -0.357476, 0.788530, -0.109011, -0.070420, 0.000000, 0.000000, 0.000000], [0.007227, 0.209461, 0.719522, 0.198579, 0.122303, 0.243091, -0.569979, 0.000000, 0.000000, 0.000000]]
fourier: [[4.435025, 4.935589, 5.134195, 5.386285, 19.966883], [15.614333, 16.011039, 16.107521, 16.567826, 86.318213], [7.601076, 9.415038, 9.744949, 11.107154, 57.520609], [4.206637, 4.263673, 4.291056, 4.330740, 19.642904], [11.410177, 11.564467, 13.710253, 14.320923, 90.495077], [5.865614, 6.473034, 7.797110, 7.845262, 36.658578], [1.680252, 2.081378, 2.190621, 2.799438, 6.176958]]
### 6
mean: [0.131899, 0.346412, 0.163797, -0.501171, 0.145783, 0.607129, -0.487286]
std: [0.260836, 0.515594, 0.252903, 0.631873, 0.301504, 0.600726, 0.158541]
pca: [[0.219629, 0.609281, -0.328755, -0.342281, 0.405613, -0.097840, 0.425686, 0.000000, 0.000000, 0.000000], [-0.460726, -0.115121, -0.167233, 0.262449, -0.016060, 0.537570, 0.623212, 0.000000, 0.000000, 0.000000], [0.221103, 0.357698, 0.217419, 0.412193, 0.387486, 0.567721, -0.365430, 0.000000, 0.000000, 0.000000], [0.563470, -0.277134, -0.383075, 0.602418, 0.037295, -0.228029, 0.206534, 0.000000, 0.000000, 0.000000], [-0.266440, 0.227936, 0.568871, 0.413617, 0.198994, -0.517016, 0.274695, 0.000000, 0.000000, 0.000000], [-0.536544, -0.041482, -0.528672, 0.168011, 0.430496, -0.236761, -0.401616, 0.000000, 0.000000, 0.000000], [0.119335, -0.597576, 0.258507, -0.286088, 0.677317, 0.061488, 0.132099, 0.000000, 0.000000, 0.000000]]
fourier: [[3.760745, 4.085762, 4.725996, 5.354835, 11.870911], [7.806166, 8.523711, 8.826072, 9.486367, 31.177055], [3.405027, 4.233011, 4.659170, 4.808144, 14.741695], [10.170720, 10.292563, 10.644255, 11.497921, 45.105385], [4.778491, 4.917631, 5.060688, 5.393879, 13.120477], [9.199467, 10.038098, 10.203107, 10.751301, 54.641563], [2.277948, 2.436114, 2.744851, 2.779530, 43.855755]]
### 8
mean: [0.586785, -0.402561, -0.247545, -0.098768, 0.331353, 0.521708, -0.121051]
std: [0.548324, 0.198906, 0.043130, 0.179486, 0.257290, 0.406585, 0.037548]
pca: [[0.706896, 0.104958, -0.081713, -0.529651, -0.425191, 0.109381, -0.096556, 0.000000, 0.000000, 0.000000], [-0.252517, 0.430667, 0.659412, -0.285501, -0.183486, -0.443103, -0.066473, 0.000000, 0.000000, 0.000000], [-0.033827, 0.478462, 0.085947, 0.468182, -0.485715, 0.466800, 0.299212, 0.000000, 0.000000, 0.000000], [0.230576, -0.193739, 0.275331, -0.117780, 0.215877, -0.055108, 0.877486, 0.000000, 0.000000, 0.000000], [0.325929, 0.682117, -0.281480, 0.143228, 0.514387, -0.251471, 0.030164, 0.000000, 0.000000, 0.000000], [0.523488, -0.230966, 0.518131, 0.545584, 0.079609, -0.090757, -0.303181, 0.000000, 0.000000, 0.000000], [-0.044215, 0.135718, 0.357230, -0.294477, 0.481760, 0.706599, -0.184176, 0.000000, 0.000000, 0.000000]]
fourier: [[8.297667, 8.449199, 9.722554, 10.167365, 52.810626], [2.905311, 3.249545, 3.544070, 3.726259, 36.230451], [0.680034, 0.684722, 0.704966, 0.824954, 22.279084], [2.703186, 2.720674, 3.095618, 3.477285, 8.889157], [3.809468, 3.837978, 4.559738, 4.779054, 29.821792], [6.104878, 6.118189, 7.086961, 7.794138, 46.953750], [0.560061, 0.561810, 0.599597, 0.718612, 10.894564]]
### 10
mean: [-0.134230]
std: [0.425363]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.510435, 6.525551, 7.488110, 7.882703, 12.080741]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
has_majority
|
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7.882703214815144, 12.080740511417389]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.449865, 0.510394, -0.190401, 0.112641, 0.080779], [-0.130931, 0.470208, 0.224954, 0.324011, 0.043146], [-0.158563, 0.326972, 0.230967, 0.560498, 0.217367], [-0.198268, 0.308528, -0.247702, 0.104961, 0.293191], [-0.155152, -0.270199, 0.105394, 0.233265, -0.430783], [-0.305333, -0.354745, 0.099149, -0.286827, -0.144996], [0.143202, -0.214758, -0.21255, 0.335636, -0.18506]], "network.0.bias": [0.242188, -0.244669, -0.547028, -0.153605, 0.20748, -0.357363, -0.15186], "network.2.weight": [[0.252608, 0.435937, -0.007557, 0.421286, 0.062429, -0.108909, -0.396863], [-0.294505, -0.174022, 0.151943, -0.400396, -0.427175, -0.014228, 0.180112], [-0.044245, -0.052683, -0.305907, -0.067469, -0.014669, 0.279067, -0.090217], [0.344467, -0.158599, 0.460021, 0.033734, -0.137518, 0.175251, -0.078202], [-0.010163, 0.342874, 0.192796, -0.168725, -0.314109, -0.077615, -0.40693], [0.334728, 0.186228, -0.375376, 0.252895, 0.230951, 0.014086, 0.136696], [0.026608, 0.089352, 0.455732, -0.199794, -0.133469, -0.012094, -0.214758]], "network.2.bias": [-0.214265, -0.119901, -0.239664, 0.212566, 0.051601, 0.482827, -0.101288], "network.4.weight": [[0.142922, -0.132685, 0.091479, 0.186409, 0.04852, -0.423217, 0.015533], [0.438163, 0.225868, -0.134064, 0.215614, 0.468331, -0.519582, 0.175398], [0.120625, 0.124315, -0.271342, -0.224806, 0.480255, -0.243348, 0.437075], [0.034285, -0.256761, -0.084316, 0.260302, -0.139582, 0.315775, -0.360587], [-0.291021, 0.367113, 0.099376, -0.371527, 0.118182, 0.092993, -0.320542], [-0.385076, 0.182195, -0.262881, -0.18194, 0.242994, 0.052233, -0.046374], [0.069941, 0.190152, 0.138215, -0.004814, 0.282822, 0.129957, -0.345584]], "network.4.bias": [0.130999, 0.149586, 0.317322, -0.054717, -0.092111, 0.073069, -0.046102], "network.6.weight": [[0.104159, -0.038559, -0.398829, 0.355943, -0.213068, -0.304007, -0.171791], [0.082751, 0.403737, 0.200927, -0.169361, 0.226565, 0.233293, -0.148748], [-0.22601, -0.028333, -0.285135, 0.096173, -0.293373, 0.191432, 0.16274], [-0.259743, -0.313757, -0.530595, -0.262261, 0.193151, 0.161721, 0.053607], [-0.050037, 0.241995, 0.146364, -0.040163, 0.354687, -0.199847, 0.351597], [0.174943, 0.531228, 0.086924, -0.169015, -0.226938, -0.250466, -0.35226], [-0.308874, -0.256734, 0.338278, -0.102118, 0.13126, -0.192492, -0.180117]], "network.6.bias": [0.332062, -0.147309, 0.392326, 0.273634, -0.193855, 0.061419, -0.335118], "network.8.weight": [[-0.323608, 0.314872, -0.211641, -0.198466, 0.267357, 0.426142, 0.219591], [0.044134, -0.376296, -0.139147, -0.288733, 0.292805, -0.200085, -0.099428], [-0.266855, -0.138907, 0.172207, -0.252263, -0.076391, 0.061183, -0.170066], [-0.090995, 0.245954, -0.075857, -0.042822, 0.2361, -0.033026, -0.318252], [-0.294115, -0.164832, -0.285101, -0.020371, -0.007435, 0.418192, -0.253087], [-0.514862, 0.479618, 0.178927, -0.107119, 0.350655, 0.078646, 0.175841], [0.0865, 0.101163, -0.262078, -0.233706, 0.176385, -0.27075, 0.10236]], "network.8.bias": [0.262113, -0.156751, -0.192201, -0.186884, 0.258474, 0.278893, 0.018441], "network.10.weight": [[-0.422791, -0.127473, 0.199223, -0.286166, -0.343356, -0.209566, -0.210556]], "network.10.bias": [0.35024]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6951550245285034, "train_acc": 0.455, "val_loss": 0.6849552989006042, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6816620230674744, "train_acc": 0.57, "val_loss": 0.6747326850891113, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6684750914573669, "train_acc": 0.57, "val_loss": 0.6657940745353699, "val_acc": 0.54}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6640497446060181, "train_acc": 0.57, "val_loss": 0.6572292447090149, "val_acc": 0.54}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6597678363323212, "train_acc": 0.57, "val_loss": 0.6463508605957031, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6806350350379944, "train_acc": 0.49, "val_loss": 0.6462184190750122, "val_acc": 0.54}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.668089896440506, "train_acc": 0.525, "val_loss": 0.63482266664505, "val_acc": 0.66}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6516668200492859, "train_acc": 0.615, "val_loss": 0.6153714060783386, "val_acc": 0.66}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.6418111324310303, "train_acc": 0.625, "val_loss": 0.5909894704818726, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.628894716501236, "train_acc": 0.64, "val_loss": 0.5711140632629395, "val_acc": 0.74}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.6026495695114136, "train_acc": 0.66, "val_loss": 0.5614583492279053, "val_acc": 0.72}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.5924742519855499, "train_acc": 0.66, "val_loss": 0.5527956485748291, "val_acc": 0.7}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.5914265513420105, "train_acc": 0.675, "val_loss": 0.5324541330337524, "val_acc": 0.72}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.5743002593517303, "train_acc": 0.705, "val_loss": 0.5275248289108276, "val_acc": 0.72}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.5637139081954956, "train_acc": 0.695, "val_loss": 0.5243922472000122, "val_acc": 0.74}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.6849552989006042, "final_val_loss": 0.6463508605957031, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.6462184190750122, "final_val_loss": 0.5243922472000122, "initial_val_acc": 0.54, "final_val_acc": 0.74, "best_val_acc": 0.74, "best_epoch": 9}, "improvement": 0.19999999999999996, "first_improvement_epoch": 4}}
|
185
|
{"target_pattern": "alternating", "degraded_accuracy": 0.54, "improved_accuracy": 1.0, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7331, "learning_rate": 0.06804554033307295, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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-0.211471,
-0.283198,
0.182647,
0.450302
],
[
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-0.020192,
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],
[
-0.914126,
0.254636,
-1.351705,
0.283133,
-1.061595
],
[
0.073361,
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-0.118619,
-0.63625
],
[
-0.588054,
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],
[
-0.484028,
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0.440427,
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-0.210795
],
[
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],
"network.0.bias": [
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"network.2.weight": [
[
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[
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[
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[
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],
[
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[
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[
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],
"network.2.bias": [
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"network.4.weight": [
[
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[
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[
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"network.4.bias": [
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"network.6.weight": [
[
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[
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[
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[
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[
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[
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"network.6.bias": [
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"network.8.weight": [
[
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.671311, -1.866349, -3.592244, 0.912718, -3.034805, 0.021314, -3.741941]
std: [1.671937, 1.295834, 4.484590, 1.720138, 2.978689, 1.141852, 1.764765]
pca: [[0.144470, -0.586341, -0.116984, 0.478725, 0.032843, -0.384449, 0.493548, 0.000000, 0.000000, 0.000000], [0.105625, -0.130690, 0.698722, 0.125910, 0.655013, 0.193347, -0.035673, 0.000000, 0.000000, 0.000000], [0.794583, 0.140350, -0.125800, 0.010535, 0.122842, -0.383816, -0.413034, 0.000000, 0.000000, 0.000000], [-0.059208, 0.749258, 0.122095, 0.151981, 0.135613, -0.370117, 0.491655, 0.000000, 0.000000, 0.000000], [0.525175, 0.116126, -0.180136, 0.026558, -0.052073, 0.685274, 0.453034, 0.000000, 0.000000, 0.000000], [0.030552, 0.153763, 0.336887, 0.698349, -0.527221, 0.151116, -0.271000, 0.000000, 0.000000, 0.000000], [0.237406, -0.144604, 0.566946, -0.493318, -0.505693, -0.195136, 0.253249, 0.000000, 0.000000, 0.000000]]
fourier: [[25.472936, 25.799331, 28.708581, 34.553291, 60.418028], [19.400865, 19.906607, 24.688646, 25.867485, 167.971374], [76.899758, 87.097542, 88.073363, 92.537577, 323.301927], [25.857828, 28.386057, 30.411152, 30.841995, 82.144614], [52.133262, 57.365304, 57.440975, 62.039904, 273.132495], [17.298994, 17.340701, 18.758608, 19.485370, 21.467215], [26.609609, 28.238038, 31.289039, 34.280917, 336.774715]]
### 2
mean: [0.666696, -0.344426, -0.664939, 0.972067, -0.538805, 0.369519, 1.316346]
std: [0.718430, 0.588991, 1.295618, 0.938480, 0.808051, 0.919942, 1.286972]
pca: [[0.333138, -0.136311, 0.376998, 0.257324, 0.126500, 0.802218, -0.050383, 0.000000, 0.000000, 0.000000], [-0.211785, 0.251380, -0.086959, 0.647742, 0.642710, -0.148420, -0.172389, 0.000000, 0.000000, 0.000000], [-0.416260, 0.645759, -0.016512, 0.195267, -0.441495, 0.314793, 0.278045, 0.000000, 0.000000, 0.000000], [0.321674, 0.432818, 0.346141, -0.315071, 0.412085, -0.152391, 0.545045, 0.000000, 0.000000, 0.000000], [-0.311949, -0.255374, 0.794081, 0.238252, -0.191771, -0.328593, 0.073442, 0.000000, 0.000000, 0.000000], [0.419860, -0.222398, -0.261979, 0.546697, -0.256637, -0.189234, 0.552336, 0.000000, 0.000000, 0.000000], [0.542057, 0.446335, 0.176144, 0.145512, -0.321794, -0.261374, -0.531875, 0.000000, 0.000000, 0.000000]]
fourier: [[11.731136, 12.012909, 12.484615, 13.367673, 60.002642], [9.578652, 10.498936, 10.805290, 11.224081, 30.998335], [20.831177, 21.175208, 24.575343, 24.869835, 59.844513], [14.980571, 15.533335, 17.187383, 18.182923, 87.486048], [12.318586, 13.153523, 14.634333, 14.936122, 48.492431], [14.404483, 15.037250, 15.046859, 15.436259, 33.256693], [21.658727, 22.372386, 24.338414, 25.982187, 118.471110]]
### 4
mean: [2.219376, 1.384403, 1.775282, -0.636350, -0.188549, -0.204081, 1.956675]
std: [2.166402, 1.515957, 1.807973, 1.383493, 0.964446, 0.827967, 1.915592]
pca: [[0.520977, 0.287831, -0.005151, -0.299431, -0.084947, 0.404475, 0.620673, 0.000000, 0.000000, 0.000000], [0.365014, 0.010868, 0.000630, -0.330222, 0.811118, -0.243417, -0.201087, 0.000000, 0.000000, 0.000000], [0.432512, -0.423225, 0.515968, 0.538689, 0.092713, 0.256090, -0.056809, 0.000000, 0.000000, 0.000000], [-0.329256, 0.514828, -0.030700, 0.545600, 0.481879, 0.199149, 0.236753, 0.000000, 0.000000, 0.000000], [-0.228529, 0.116280, 0.744198, -0.173929, -0.020674, -0.467606, 0.362062, 0.000000, 0.000000, 0.000000], [-0.196092, 0.285364, 0.420390, -0.345143, -0.009760, 0.573170, -0.505613, 0.000000, 0.000000, 0.000000], [0.457377, 0.614747, 0.047421, 0.253090, -0.305853, -0.353166, -0.358214, 0.000000, 0.000000, 0.000000]]
fourier: [[34.491850, 35.904798, 37.173012, 43.828878, 199.743860], [23.479924, 25.720741, 26.703183, 29.891063, 124.596232], [28.320298, 29.718885, 33.023948, 34.691305, 159.775358], [21.034314, 23.392653, 25.390457, 25.570781, 57.271490], [15.394116, 15.505555, 16.554985, 16.969373, 17.754777], [12.172600, 13.985083, 14.159256, 14.932078, 18.367319], [30.833872, 31.461052, 31.649979, 40.067092, 176.100785]]
### 6
mean: [2.209720, 4.137226, 4.426990, -0.330330, 2.336978, -0.513029, -1.250823]
std: [2.814310, 5.015893, 4.969523, 1.697248, 2.744532, 2.177810, 1.923502]
pca: [[0.321934, -0.133756, -0.041952, 0.821236, -0.161432, 0.286943, 0.306402, 0.000000, 0.000000, 0.000000], [0.573715, -0.263749, 0.486988, -0.275729, -0.179459, -0.372598, 0.342152, 0.000000, 0.000000, 0.000000], [0.568397, 0.298038, 0.016199, -0.303800, 0.112124, 0.661994, -0.211504, 0.000000, 0.000000, 0.000000], [-0.190947, 0.631748, -0.042294, -0.155596, -0.268496, 0.071613, 0.679129, 0.000000, 0.000000, 0.000000], [0.313695, 0.250149, -0.332542, 0.108875, 0.728831, -0.387019, 0.188693, 0.000000, 0.000000, 0.000000], [-0.248624, 0.220502, 0.799989, 0.223391, 0.430405, 0.119000, -0.016407, 0.000000, 0.000000, 0.000000], [-0.217841, -0.559837, -0.092006, -0.266988, 0.375006, 0.414156, 0.497218, 0.000000, 0.000000, 0.000000]]
fourier: [[44.750677, 46.747510, 47.653491, 55.477176, 198.874837], [79.141399, 83.330120, 85.854099, 98.379791, 372.350327], [78.360031, 82.695072, 85.227583, 99.588184, 398.429037], [27.363601, 27.486277, 27.711619, 29.729740, 31.257599], [43.733246, 45.655477, 46.812857, 55.404793, 210.328028], [35.604026, 35.932325, 35.982805, 43.129377, 46.172578], [29.341249, 32.102103, 33.575912, 39.474594, 112.574099]]
### 8
mean: [-6.351311]
std: [8.528799]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[134.169542, 140.704854, 145.858029, 170.986980, 571.618002]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.547033,
-0.211471,
-0.283198,
0.182647,
0.450302
],
[
-0.388087,
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-0.020192,
-0.418357,
-0.052732
],
[
-0.914126,
0.254636,
-1.351705,
0.283133,
-1.061595
],
[
0.073361,
0.456929,
0.474496,
-0.118619,
-0.63625
],
[
-0.588054,
0.189958,
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0.257012,
-0.716696
],
[
-0.484028,
0.068725,
0.440427,
-0.071416,
-0.210795
],
[
-0.087872,
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-0.504651,
-0.259016,
-0.324678
]
],
"network.0.bias": [
0.039309,
-0.1746,
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0.036707,
-0.447216,
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-0.999844
],
"network.2.weight": [
[
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[
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0.048246
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[
1.062604,
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-0.367035,
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],
[
1.028044,
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0.483255,
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],
[
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0.539409,
-0.375386,
0.5464,
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],
[
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0.05109,
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],
[
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0.025908
]
],
"network.2.bias": [
0.009672,
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],
"network.4.weight": [
[
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[
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0.369412,
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[
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[
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[
0.110456,
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[
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[
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],
"network.4.bias": [
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"network.6.weight": [
[
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],
[
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[
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[
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[
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],
"network.6.bias": [
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1.115809,
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"network.8.weight": [
[
-0.371497,
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-0.386447,
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],
"network.8.bias": [
0.237403
]
}
## Activation Signature
### 0
mean: [-0.671311, -1.866349, -3.592244, 0.912718, -3.034805, 0.021314, -3.741941]
std: [1.671937, 1.295834, 4.484590, 1.720138, 2.978689, 1.141852, 1.764765]
pca: [[0.144470, -0.586341, -0.116984, 0.478725, 0.032843, -0.384449, 0.493548, 0.000000, 0.000000, 0.000000], [0.105625, -0.130690, 0.698722, 0.125910, 0.655013, 0.193347, -0.035673, 0.000000, 0.000000, 0.000000], [0.794583, 0.140350, -0.125800, 0.010535, 0.122842, -0.383816, -0.413034, 0.000000, 0.000000, 0.000000], [-0.059208, 0.749258, 0.122095, 0.151981, 0.135613, -0.370117, 0.491655, 0.000000, 0.000000, 0.000000], [0.525175, 0.116126, -0.180136, 0.026558, -0.052073, 0.685274, 0.453034, 0.000000, 0.000000, 0.000000], [0.030552, 0.153763, 0.336887, 0.698349, -0.527221, 0.151116, -0.271000, 0.000000, 0.000000, 0.000000], [0.237406, -0.144604, 0.566946, -0.493318, -0.505693, -0.195136, 0.253249, 0.000000, 0.000000, 0.000000]]
fourier: [[25.472936, 25.799331, 28.708581, 34.553291, 60.418028], [19.400865, 19.906607, 24.688646, 25.867485, 167.971374], [76.899758, 87.097542, 88.073363, 92.537577, 323.301927], [25.857828, 28.386057, 30.411152, 30.841995, 82.144614], [52.133262, 57.365304, 57.440975, 62.039904, 273.132495], [17.298994, 17.340701, 18.758608, 19.485370, 21.467215], [26.609609, 28.238038, 31.289039, 34.280917, 336.774715]]
### 2
mean: [0.666696, -0.344426, -0.664939, 0.972067, -0.538805, 0.369519, 1.316346]
std: [0.718430, 0.588991, 1.295618, 0.938480, 0.808051, 0.919942, 1.286972]
pca: [[0.333138, -0.136311, 0.376998, 0.257324, 0.126500, 0.802218, -0.050383, 0.000000, 0.000000, 0.000000], [-0.211785, 0.251380, -0.086959, 0.647742, 0.642710, -0.148420, -0.172389, 0.000000, 0.000000, 0.000000], [-0.416260, 0.645759, -0.016512, 0.195267, -0.441495, 0.314793, 0.278045, 0.000000, 0.000000, 0.000000], [0.321674, 0.432818, 0.346141, -0.315071, 0.412085, -0.152391, 0.545045, 0.000000, 0.000000, 0.000000], [-0.311949, -0.255374, 0.794081, 0.238252, -0.191771, -0.328593, 0.073442, 0.000000, 0.000000, 0.000000], [0.419860, -0.222398, -0.261979, 0.546697, -0.256637, -0.189234, 0.552336, 0.000000, 0.000000, 0.000000], [0.542057, 0.446335, 0.176144, 0.145512, -0.321794, -0.261374, -0.531875, 0.000000, 0.000000, 0.000000]]
fourier: [[11.731136, 12.012909, 12.484615, 13.367673, 60.002642], [9.578652, 10.498936, 10.805290, 11.224081, 30.998335], [20.831177, 21.175208, 24.575343, 24.869835, 59.844513], [14.980571, 15.533335, 17.187383, 18.182923, 87.486048], [12.318586, 13.153523, 14.634333, 14.936122, 48.492431], [14.404483, 15.037250, 15.046859, 15.436259, 33.256693], [21.658727, 22.372386, 24.338414, 25.982187, 118.471110]]
### 4
mean: [2.219376, 1.384403, 1.775282, -0.636350, -0.188549, -0.204081, 1.956675]
std: [2.166402, 1.515957, 1.807973, 1.383493, 0.964446, 0.827967, 1.915592]
pca: [[0.520977, 0.287831, -0.005151, -0.299431, -0.084947, 0.404475, 0.620673, 0.000000, 0.000000, 0.000000], [0.365014, 0.010868, 0.000630, -0.330222, 0.811118, -0.243417, -0.201087, 0.000000, 0.000000, 0.000000], [0.432512, -0.423225, 0.515968, 0.538689, 0.092713, 0.256090, -0.056809, 0.000000, 0.000000, 0.000000], [-0.329256, 0.514828, -0.030700, 0.545600, 0.481879, 0.199149, 0.236753, 0.000000, 0.000000, 0.000000], [-0.228529, 0.116280, 0.744198, -0.173929, -0.020674, -0.467606, 0.362062, 0.000000, 0.000000, 0.000000], [-0.196092, 0.285364, 0.420390, -0.345143, -0.009760, 0.573170, -0.505613, 0.000000, 0.000000, 0.000000], [0.457377, 0.614747, 0.047421, 0.253090, -0.305853, -0.353166, -0.358214, 0.000000, 0.000000, 0.000000]]
fourier: [[34.491850, 35.904798, 37.173012, 43.828878, 199.743860], [23.479924, 25.720741, 26.703183, 29.891063, 124.596232], [28.320298, 29.718885, 33.023948, 34.691305, 159.775358], [21.034314, 23.392653, 25.390457, 25.570781, 57.271490], [15.394116, 15.505555, 16.554985, 16.969373, 17.754777], [12.172600, 13.985083, 14.159256, 14.932078, 18.367319], [30.833872, 31.461052, 31.649979, 40.067092, 176.100785]]
### 6
mean: [2.209720, 4.137226, 4.426990, -0.330330, 2.336978, -0.513029, -1.250823]
std: [2.814310, 5.015893, 4.969523, 1.697248, 2.744532, 2.177810, 1.923502]
pca: [[0.321934, -0.133756, -0.041952, 0.821236, -0.161432, 0.286943, 0.306402, 0.000000, 0.000000, 0.000000], [0.573715, -0.263749, 0.486988, -0.275729, -0.179459, -0.372598, 0.342152, 0.000000, 0.000000, 0.000000], [0.568397, 0.298038, 0.016199, -0.303800, 0.112124, 0.661994, -0.211504, 0.000000, 0.000000, 0.000000], [-0.190947, 0.631748, -0.042294, -0.155596, -0.268496, 0.071613, 0.679129, 0.000000, 0.000000, 0.000000], [0.313695, 0.250149, -0.332542, 0.108875, 0.728831, -0.387019, 0.188693, 0.000000, 0.000000, 0.000000], [-0.248624, 0.220502, 0.799989, 0.223391, 0.430405, 0.119000, -0.016407, 0.000000, 0.000000, 0.000000], [-0.217841, -0.559837, -0.092006, -0.266988, 0.375006, 0.414156, 0.497218, 0.000000, 0.000000, 0.000000]]
fourier: [[44.750677, 46.747510, 47.653491, 55.477176, 198.874837], [79.141399, 83.330120, 85.854099, 98.379791, 372.350327], [78.360031, 82.695072, 85.227583, 99.588184, 398.429037], [27.363601, 27.486277, 27.711619, 29.729740, 31.257599], [43.733246, 45.655477, 46.812857, 55.404793, 210.328028], [35.604026, 35.932325, 35.982805, 43.129377, 46.172578], [29.341249, 32.102103, 33.575912, 39.474594, 112.574099]]
### 8
mean: [-6.351311]
std: [8.528799]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[134.169542, 140.704854, 145.858029, 170.986980, 571.618002]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.547033, -0.211471, -0.283198, 0.182647, 0.450302], [-0.388087, -0.112191, -0.020192, -0.418357, -0.052732], [-0.914126, 0.254636, -1.351705, 0.283133, -1.061595], [0.073361, 0.456929, 0.474496, -0.118619, -0.63625], [-0.588054, 0.189958, -0.89481, 0.257012, -0.716696], [-0.484028, 0.068725, 0.440427, -0.071416, -0.210795], [-0.087872, -0.341727, -0.504651, -0.259016, -0.324678]], "network.0.bias": [0.039309, -0.1746, 0.60703, 0.036707, -0.447216, -0.008447, -0.999844], "network.2.weight": [[-0.085661, 0.043845, 0.106563, 0.466921, 0.020926, 0.201113, 0.119634], [0.36463, -0.322593, 0.205915, -0.37056, -0.626938, 0.248586, 0.048246], [1.062604, 0.343261, -0.367035, -0.699608, 0.215856, 0.358211, -0.264859], [1.028044, -0.187251, -0.189048, 0.440968, -0.302449, 0.483255, -0.160936], [-0.334397, 0.32669, 0.539409, -0.375386, 0.5464, -0.095793, -0.276086], [-0.466359, -0.030994, -0.233685, 0.513794, 0.05109, 0.100182, -0.104823], [0.968456, 0.128316, -0.630606, 0.643762, 0.13258, 0.673665, 0.025908]], "network.2.bias": [0.009672, -0.128944, -0.219135, -0.000782, -0.159041, -0.080515, 0.129937], "network.4.weight": [[0.317711, 0.596828, 0.656189, 0.757465, -0.306325, 0.273791, 0.758698], [-0.127091, 0.028191, 0.580701, 0.489596, -0.138619, 0.369412, 0.616228], [0.317707, 0.333716, 1.159346, 0.368303, -0.456938, 0.266797, 0.596731], [-0.361893, -0.245651, -0.739913, -0.336466, 0.671015, 0.167297, -0.513536], [0.110456, -0.236347, -0.295009, -0.186368, 0.507209, -0.347967, -0.390041], [0.009027, -0.019084, -0.505361, -0.041778, 0.491232, -0.244255, -0.351267], [0.424301, 0.512195, 0.557905, 0.687707, -0.116515, 0.337969, 0.594045]], "network.4.bias": [-0.124882, -0.200799, -0.040979, 0.677179, 0.683735, 0.518203, -0.194247], "network.6.weight": [[0.361435, 0.072014, 0.447011, -0.154266, -0.508732, -0.598186, 0.431041], [0.86751, 0.560743, 0.710942, -0.989599, -0.466363, -0.76163, 0.271503], [0.768687, 0.264251, 0.67234, -0.602314, -0.098767, -0.669488, 0.759434], [-0.349651, -0.083153, -0.25562, 0.52429, 0.614975, 0.420071, 0.051335], [0.536412, -0.04274, 0.299133, -0.114623, -0.309424, -0.164046, 0.52071], [-0.179262, -0.203874, -0.079159, 0.416662, 0.241892, 0.549292, -0.548861], [-0.250953, -0.171656, -0.245878, -0.144508, -0.148724, 0.148251, -0.403746]], "network.6.bias": [-0.044933, 0.104203, -0.079977, 0.526128, -0.225968, 1.115809, 0.858083], "network.8.weight": [[-0.371497, -0.623416, -0.596989, 0.512812, -0.386447, 0.803961, 0.862079]], "network.8.bias": [0.237403]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6790795028209686, "train_acc": 0.595, "val_loss": 0.7424247860908508, "val_acc": 0.36}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6557000875473022, "train_acc": 0.595, "val_loss": 0.6486800312995911, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5925896763801575, "train_acc": 0.64, "val_loss": 0.4450315237045288, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.44125887751579285, "train_acc": 0.895, "val_loss": 0.3733177185058594, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3546702265739441, "train_acc": 0.875, "val_loss": 0.3344241678714752, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2545262351632118, "train_acc": 0.9, "val_loss": 0.19276034832000732, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.1799483448266983, "train_acc": 0.935, "val_loss": 0.08183127641677856, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.15881960093975067, "train_acc": 0.965, "val_loss": 0.05956702306866646, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.14133154787123203, "train_acc": 0.96, "val_loss": 0.020036110654473305, "val_acc": 1.0}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.12115094065666199, "train_acc": 0.97, "val_loss": 0.12337815016508102, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.15208658576011658, "train_acc": 0.935, "val_loss": 0.010091914795339108, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.1780504807829857, "train_acc": 0.96, "val_loss": 0.010506357997655869, "val_acc": 1.0}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7424247860908508, "final_val_loss": 0.6486800312995911, "initial_val_acc": 0.36, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.4450315237045288, "final_val_loss": 0.010506357997655869, "initial_val_acc": 0.94, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 8}, "improvement": 0.45999999999999996, "first_improvement_epoch": 1}}
|
186
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.44, "improved_accuracy": 0.82, "improvement": 0.37999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4806, "learning_rate": 0.09379899913235491, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.013908,
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}
## Activation Signature
### 0
mean: [-1.737119, 0.439689, 2.852993, -2.272756, 0.126241]
std: [1.366964, 1.675040, 2.533178, 1.923544, 1.868583]
pca: [[0.008765, -0.425213, 0.710103, 0.480482, 0.289841, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.431865, 0.348250, -0.100977, 0.714805, -0.413609, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.594417, 0.700987, 0.389024, 0.053966, -0.032147, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.483657, 0.109057, 0.578107, -0.501312, -0.410683, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.475563, 0.441179, 0.003089, -0.062971, 0.758436, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.856350, 20.909101, 26.459614, 32.131281, 156.340729], [23.747026, 28.331525, 30.804432, 35.467053, 39.571980], [42.320171, 42.670012, 42.846318, 48.870308, 256.769394], [30.939888, 32.949302, 38.587489, 38.699665, 204.548024], [27.836836, 28.176295, 29.101435, 29.576309, 39.631729]]
### 2
mean: [1.150918, 1.575823, 0.108064, 0.718896, -2.530543]
std: [1.825812, 2.116495, 0.671779, 1.337854, 1.572734]
pca: [[0.563250, -0.025427, -0.170525, -0.066759, 0.805337, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.652646, -0.027705, 0.681272, -0.082504, -0.319918, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.192885, 0.170223, 0.430315, 0.812048, 0.298710, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.245323, 0.757668, 0.314335, -0.465858, 0.223441, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.399267, -0.628927, 0.472030, -0.335099, 0.331560, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.259992, 30.602621, 32.973661, 33.761493, 103.582611], [33.496010, 36.331406, 37.162503, 38.721446, 141.824086], [9.725721, 9.912832, 11.475769, 11.563333, 14.891094], [19.555052, 19.621934, 21.722001, 30.491179, 64.700602], [24.823174, 27.593707, 29.089460, 32.328069, 227.748908]]
### 4
mean: [-0.841598, 1.740365, 1.174048, -1.989843, -0.537854]
std: [1.524216, 3.062051, 1.829373, 2.845388, 0.556232]
pca: [[-0.317369, 0.172974, 0.283348, 0.883524, 0.091956, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.630365, 0.719017, -0.173811, 0.120342, 0.202391, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.371776, -0.579890, -0.106861, 0.209993, 0.685561, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.593097, 0.269392, -0.543896, -0.144326, 0.508931, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.109250, 0.210357, 0.763060, -0.374133, 0.470720, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.158783, 24.925229, 25.592373, 27.089544, 75.743826], [46.336990, 49.748958, 52.569637, 61.916494, 156.632853], [26.834523, 30.965767, 32.014160, 32.312550, 105.664360], [45.450140, 46.250935, 48.038305, 50.393057, 179.085840], [8.918911, 9.406685, 9.863228, 9.907964, 48.406840]]
### 6
mean: [2.161425, -0.345524, 1.883851, -0.474510, -0.518789]
std: [2.648038, 0.252303, 2.518653, 1.379092, 1.119152]
pca: [[0.651324, 0.305375, 0.092605, -0.552347, 0.410926, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.060679, 0.105132, -0.564136, 0.415211, 0.703289, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.619565, 0.221995, 0.161199, 0.688999, -0.257201, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.335682, 0.916374, -0.076563, -0.049461, -0.198160, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.274866, 0.081670, 0.800830, 0.212945, 0.480733, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.754654, 43.472724, 44.069965, 48.584557, 194.528250], [4.063073, 4.164578, 4.185736, 4.492635, 31.097186], [38.926916, 41.334231, 41.711583, 45.671014, 169.546617], [21.342437, 22.711049, 23.421973, 24.480080, 42.705942], [17.156390, 18.047441, 19.340089, 20.554605, 46.690990]]
### 8
mean: [2.624000, 1.387942, -0.245354, -0.528544, 0.792211]
std: [3.720413, 2.296237, 1.189455, 0.774785, 0.281948]
pca: [[0.809691, 0.233397, 0.175327, -0.346806, 0.372710, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.499389, -0.302654, -0.035804, 0.799807, -0.134307, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.256638, 0.487497, -0.032308, 0.460067, 0.695542, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.166615, -0.368892, 0.888608, 0.039822, 0.212011, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.037246, 0.692959, 0.421083, 0.163670, -0.560645, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[56.368483, 60.716244, 63.143599, 67.840972, 236.160035], [35.389620, 36.639523, 40.070086, 42.075587, 124.914819], [18.321704, 18.790943, 21.439901, 21.926034, 22.081878], [11.947783, 12.337026, 13.028616, 13.687136, 47.568936], [4.301198, 4.377472, 4.387034, 5.886510, 71.298948]]
### 10
mean: [-2.221029]
std: [2.796795]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.038764, 46.163865, 47.222978, 50.581949, 199.892629]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
"network.10.bias": [
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}
## Activation Signature
### 0
mean: [-1.737119, 0.439689, 2.852993, -2.272756, 0.126241]
std: [1.366964, 1.675040, 2.533178, 1.923544, 1.868583]
pca: [[0.008765, -0.425213, 0.710103, 0.480482, 0.289841, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.431865, 0.348250, -0.100977, 0.714805, -0.413609, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.594417, 0.700987, 0.389024, 0.053966, -0.032147, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.483657, 0.109057, 0.578107, -0.501312, -0.410683, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.475563, 0.441179, 0.003089, -0.062971, 0.758436, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.856350, 20.909101, 26.459614, 32.131281, 156.340729], [23.747026, 28.331525, 30.804432, 35.467053, 39.571980], [42.320171, 42.670012, 42.846318, 48.870308, 256.769394], [30.939888, 32.949302, 38.587489, 38.699665, 204.548024], [27.836836, 28.176295, 29.101435, 29.576309, 39.631729]]
### 2
mean: [1.150918, 1.575823, 0.108064, 0.718896, -2.530543]
std: [1.825812, 2.116495, 0.671779, 1.337854, 1.572734]
pca: [[0.563250, -0.025427, -0.170525, -0.066759, 0.805337, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.652646, -0.027705, 0.681272, -0.082504, -0.319918, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.192885, 0.170223, 0.430315, 0.812048, 0.298710, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.245323, 0.757668, 0.314335, -0.465858, 0.223441, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.399267, -0.628927, 0.472030, -0.335099, 0.331560, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.259992, 30.602621, 32.973661, 33.761493, 103.582611], [33.496010, 36.331406, 37.162503, 38.721446, 141.824086], [9.725721, 9.912832, 11.475769, 11.563333, 14.891094], [19.555052, 19.621934, 21.722001, 30.491179, 64.700602], [24.823174, 27.593707, 29.089460, 32.328069, 227.748908]]
### 4
mean: [-0.841598, 1.740365, 1.174048, -1.989843, -0.537854]
std: [1.524216, 3.062051, 1.829373, 2.845388, 0.556232]
pca: [[-0.317369, 0.172974, 0.283348, 0.883524, 0.091956, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.630365, 0.719017, -0.173811, 0.120342, 0.202391, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.371776, -0.579890, -0.106861, 0.209993, 0.685561, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.593097, 0.269392, -0.543896, -0.144326, 0.508931, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.109250, 0.210357, 0.763060, -0.374133, 0.470720, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.158783, 24.925229, 25.592373, 27.089544, 75.743826], [46.336990, 49.748958, 52.569637, 61.916494, 156.632853], [26.834523, 30.965767, 32.014160, 32.312550, 105.664360], [45.450140, 46.250935, 48.038305, 50.393057, 179.085840], [8.918911, 9.406685, 9.863228, 9.907964, 48.406840]]
### 6
mean: [2.161425, -0.345524, 1.883851, -0.474510, -0.518789]
std: [2.648038, 0.252303, 2.518653, 1.379092, 1.119152]
pca: [[0.651324, 0.305375, 0.092605, -0.552347, 0.410926, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.060679, 0.105132, -0.564136, 0.415211, 0.703289, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.619565, 0.221995, 0.161199, 0.688999, -0.257201, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.335682, 0.916374, -0.076563, -0.049461, -0.198160, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.274866, 0.081670, 0.800830, 0.212945, 0.480733, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.754654, 43.472724, 44.069965, 48.584557, 194.528250], [4.063073, 4.164578, 4.185736, 4.492635, 31.097186], [38.926916, 41.334231, 41.711583, 45.671014, 169.546617], [21.342437, 22.711049, 23.421973, 24.480080, 42.705942], [17.156390, 18.047441, 19.340089, 20.554605, 46.690990]]
### 8
mean: [2.624000, 1.387942, -0.245354, -0.528544, 0.792211]
std: [3.720413, 2.296237, 1.189455, 0.774785, 0.281948]
pca: [[0.809691, 0.233397, 0.175327, -0.346806, 0.372710, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.499389, -0.302654, -0.035804, 0.799807, -0.134307, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.256638, 0.487497, -0.032308, 0.460067, 0.695542, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.166615, -0.368892, 0.888608, 0.039822, 0.212011, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.037246, 0.692959, 0.421083, 0.163670, -0.560645, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[56.368483, 60.716244, 63.143599, 67.840972, 236.160035], [35.389620, 36.639523, 40.070086, 42.075587, 124.914819], [18.321704, 18.790943, 21.439901, 21.926034, 22.081878], [11.947783, 12.337026, 13.028616, 13.687136, 47.568936], [4.301198, 4.377472, 4.387034, 5.886510, 71.298948]]
### 10
mean: [-2.221029]
std: [2.796795]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.038764, 46.163865, 47.222978, 50.581949, 199.892629]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
starts_with
|
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"layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "6": {"neuron_profiles": {"0": {"mean": 2.1614248752593994, "std": 2.648037910461426, "pca": [0.6513242721557617, 0.30537480115890503, 0.09260499477386475, -0.55234694480896, 0.41092589497566223, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [39.75465419450471, 43.47272393493123, 44.06996495416368, 48.58455745453776, 194.52824963629246]}, "1": {"mean": -0.34552428126335144, "std": 0.2523033916950226, "pca": [-0.06067920848727226, 0.10513180494308472, -0.5641355514526367, 0.41521143913269043, 0.703289270401001, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [4.06307254563331, 4.16457841082251, 4.185736369127551, 4.49263468087844, 31.09718633443117]}, "2": {"mean": 1.8838512897491455, "std": 2.518653392791748, "pca": [0.6195651292800903, 0.22199483215808868, 0.16119857132434845, 0.688999354839325, -0.25720080733299255, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [38.92691591067358, 41.334231258374416, 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0.0, 0.0, 0.0], "fourier": [56.368483477619556, 60.71624400551059, 63.143598824494184, 67.84097219711944, 236.16003464721143]}, "1": {"mean": 1.3879423141479492, "std": 2.296236991882324, "pca": [0.4993894100189209, -0.30265381932258606, -0.03580404445528984, 0.799806535243988, -0.13430747389793396, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [35.3896199481965, 36.639522876541896, 40.07008624128336, 42.07558742864577, 124.91481875628233]}, "2": {"mean": -0.24535419046878815, "std": 1.1894551515579224, "pca": [-0.2566376328468323, 0.4874972403049469, -0.03230750188231468, 0.46006712317466736, 0.6955415606498718, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [18.32170357384628, 18.790942604258593, 21.439901050599232, 21.92603356557727, 22.081878051161766]}, "3": {"mean": -0.5285437107086182, "std": 0.7747852802276611, "pca": [-0.16661489009857178, -0.36889204382896423, 0.8886078000068665, 0.03982152044773102, 0.21201081573963165, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [11.947783311217917, 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"dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.013908, -0.082453, -0.05609, -0.070511, -0.697465], [-0.674114, 0.151158, -0.270233, 0.147672, 0.493438], [0.948371, 0.461972, -0.081937, 0.466774, -0.319354], [-0.523731, -0.09293, -0.619786, 0.173007, 0.033545], [-0.588717, -0.080603, -0.349843, 0.368212, 0.464404]], "network.0.bias": [-0.440985, 0.642382, 0.395038, -0.569374, 0.374152], "network.2.weight": [[-0.161718, -0.473438, 0.608495, 0.110594, -0.086648], [-0.67099, -0.313643, 0.721392, -0.201326, -0.302276], [0.047807, 0.351602, -0.157757, 0.072179, 0.052566], [0.012387, 0.607539, -0.046755, -0.008329, 0.585836], [0.516696, 0.091036, -0.611344, -0.616187, -0.517146]], "network.2.bias": [-0.123022, -0.064823, 0.239072, -0.049324, -0.511543], "network.4.weight": [[-0.40701, -0.394354, 0.500482, -0.070832, -0.075792], [0.634867, 0.717951, -0.658081, -0.616772, 0.276017], [0.595033, 0.442311, -0.27776, 0.213267, 0.653195], [-0.864241, -0.684216, -0.085396, 0.199762, -0.504762], [-0.242113, -0.036816, 0.72726, -0.259887, -0.467818]], "network.4.bias": [0.286198, 0.329056, -0.387702, 0.099985, -0.15175], "network.6.weight": [[-0.360234, 0.686716, 0.437142, -0.280841, -0.335758], [0.386487, 0.017896, -0.154603, -0.234882, 0.078537], [-0.173344, 0.586219, 0.52422, -0.476747, -0.025165], [0.67041, -0.077224, -0.591652, 0.631057, 0.037083], [0.164582, -0.33012, -0.111212, 0.435722, -0.157434]], "network.6.bias": [0.233456, -0.200006, 0.080682, 0.30814, 0.235778], "network.8.weight": [[0.722229, 0.049439, 0.644072, -0.515312, -0.711692], [0.254881, -0.002452, 0.555465, -0.630988, -0.715823], [-0.178705, -0.074025, -0.205479, 0.553852, 0.530851], [-0.106715, -0.709707, -0.21458, -0.083747, 0.003908], [0.152551, -0.331637, -0.036331, 0.465404, 0.354958]], "network.8.bias": [0.022479, -0.030122, 0.368858, 0.046777, 0.382248], "network.10.weight": [[-0.551845, -0.314219, 0.458922, 0.082565, -0.103168]], "network.10.bias": [-0.255506]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6839249134063721, "train_acc": 0.575, "val_loss": 0.7072936296463013, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6710412800312042, "train_acc": 0.58, "val_loss": 0.6352964639663696, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5970025658607483, "train_acc": 0.585, "val_loss": 0.5252112746238708, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5338563024997711, "train_acc": 0.715, "val_loss": 0.5271105766296387, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.46283239126205444, "train_acc": 0.765, "val_loss": 0.5071185827255249, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4476724714040756, "train_acc": 0.76, "val_loss": 0.5266048908233643, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.443745493888855, "train_acc": 0.78, "val_loss": 0.5506179332733154, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.40123701095581055, "train_acc": 0.785, "val_loss": 0.48021629452705383, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.40303073823451996, "train_acc": 0.79, "val_loss": 0.48644471168518066, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.41049787402153015, "train_acc": 0.785, "val_loss": 0.5366522073745728, "val_acc": 0.76}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.4025373011827469, "train_acc": 0.795, "val_loss": 0.6018024682998657, "val_acc": 0.76}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.7072936296463013, "final_val_loss": 0.6352964639663696, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5252112746238708, "final_val_loss": 0.6018024682998657, "initial_val_acc": 0.82, "final_val_acc": 0.76, "best_val_acc": 0.82, "best_epoch": 2}, "improvement": 0.37999999999999995, "first_improvement_epoch": 1}}
|
187
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.58, "improved_accuracy": 0.96, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3558, "learning_rate": 0.05473430003596353, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.423605
],
[
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],
[
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-0.179538
],
[
-0.38255,
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0.053152
],
[
-0.423148,
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0.183804,
0.039668
],
[
0.979239,
0.282632,
0.172424,
-0.017248,
0.22791
],
[
-0.720063,
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-0.21054,
-0.61706,
0.433985
]
],
"network.0.bias": [
0.164188,
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],
"network.2.weight": [
[
-0.67206,
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],
[
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## Activation Signature
### 0
mean: [-2.143032, -1.817612, 3.558027, -0.211001, -0.197881, 2.388802, -2.076084]
std: [2.246821, 1.573190, 2.563993, 1.558386, 1.677951, 2.459475, 2.021035]
pca: [[-0.465549, -0.169848, 0.366035, -0.174164, -0.214288, 0.616318, -0.405381, 0.000000, 0.000000, 0.000000], [-0.265096, 0.330129, -0.264160, 0.372075, 0.688518, 0.370668, -0.032667, 0.000000, 0.000000, 0.000000], [0.518129, 0.237191, 0.234411, -0.615671, 0.417564, 0.150181, -0.210641, 0.000000, 0.000000, 0.000000], [-0.202181, 0.525879, 0.247239, 0.151804, -0.068057, -0.513371, -0.574648, 0.000000, 0.000000, 0.000000], [-0.151942, 0.646591, 0.274797, -0.118567, -0.264123, 0.174461, 0.607507, 0.000000, 0.000000, 0.000000], [0.490397, -0.065825, 0.557671, 0.636620, -0.015468, 0.196610, 0.001520, 0.000000, 0.000000, 0.000000], [-0.374270, -0.327025, 0.541896, -0.098942, 0.480658, -0.357157, 0.301567, 0.000000, 0.000000, 0.000000]]
fourier: [[36.838964, 38.276797, 38.483883, 44.847589, 192.872897], [26.542487, 28.659838, 30.869802, 32.233604, 163.585090], [41.120318, 42.623758, 46.064996, 47.531878, 320.222399], [26.386712, 27.017850, 28.552578, 29.552810, 30.132093], [26.937996, 29.171449, 30.537741, 30.773841, 32.603829], [41.369578, 42.940420, 44.969174, 48.557395, 214.992138], [31.095030, 32.212357, 37.470116, 38.728024, 186.847544]]
### 2
mean: [-1.918265, -0.857141, 0.668630, -0.940142, 2.047255, -1.788621, 4.054095]
std: [1.299301, 1.384174, 0.395858, 1.383038, 1.695947, 1.386907, 3.100452]
pca: [[-0.285603, 0.263104, 0.643985, 0.168495, 0.504934, 0.382960, -0.066955, 0.000000, 0.000000, 0.000000], [-0.087490, 0.709524, -0.617474, -0.031421, 0.234848, 0.162026, -0.158916, 0.000000, 0.000000, 0.000000], [0.073955, -0.050378, -0.206782, 0.679649, 0.105273, 0.118514, 0.679841, 0.000000, 0.000000, 0.000000], [-0.230124, -0.546757, -0.338626, -0.379276, 0.571996, 0.209842, 0.135535, 0.000000, 0.000000, 0.000000], [0.413471, 0.131758, 0.095972, -0.432189, -0.259857, 0.650908, 0.352812, 0.000000, 0.000000, 0.000000], [-0.316046, -0.282852, -0.188694, 0.337468, -0.398185, 0.578926, -0.420610, 0.000000, 0.000000, 0.000000], [0.762566, -0.168837, -0.042029, 0.253332, 0.354330, 0.100858, -0.433960, 0.000000, 0.000000, 0.000000]]
fourier: [[20.224677, 21.869111, 22.603437, 25.119336, 172.643815], [22.590025, 22.608632, 23.080774, 23.621461, 77.142654], [5.474007, 6.038052, 6.740571, 8.486331, 60.176742], [19.798519, 19.905192, 26.655024, 28.107777, 84.612752], [26.823533, 27.526724, 28.639085, 33.220661, 184.252936], [20.904764, 24.033314, 24.685923, 26.999070, 160.975919], [48.537274, 49.716356, 51.173112, 58.752494, 364.868577]]
### 4
mean: [2.882244, -1.758403, -0.174679, 0.601620, -0.479505, 2.755766, 0.783214]
std: [2.554544, 1.323746, 0.561291, 0.532311, 0.781447, 2.147802, 0.776786]
pca: [[0.671423, -0.252561, 0.076376, 0.432730, -0.364543, -0.280451, -0.284203, 0.000000, 0.000000, 0.000000], [-0.341599, -0.525305, 0.086531, 0.423976, 0.478628, 0.132833, -0.416405, 0.000000, 0.000000, 0.000000], [-0.143449, 0.227240, -0.458588, 0.547809, -0.342300, 0.543003, 0.073252, 0.000000, 0.000000, 0.000000], [0.098132, 0.773116, 0.149984, 0.269627, 0.387693, -0.150993, -0.352652, 0.000000, 0.000000, 0.000000], [-0.203133, 0.068046, 0.858186, 0.205676, -0.307465, 0.216468, 0.184194, 0.000000, 0.000000, 0.000000], [0.565136, -0.046315, 0.131463, -0.236925, 0.302592, 0.715290, -0.043112, 0.000000, 0.000000, 0.000000], [0.204088, -0.064392, -0.010741, 0.402195, 0.429479, -0.165992, 0.761788, 0.000000, 0.000000, 0.000000]]
fourier: [[39.751240, 40.869138, 41.655798, 49.057258, 259.401917], [21.750480, 21.751322, 21.895802, 25.584945, 158.256311], [8.937408, 9.203027, 9.977068, 10.357496, 15.721070], [7.857085, 8.182030, 9.998279, 10.286662, 54.145782], [11.957465, 12.609568, 13.845866, 15.242534, 43.155414], [33.061581, 35.090700, 35.322000, 41.425914, 248.018915], [11.759240, 12.178111, 12.773039, 15.058324, 70.489241]]
### 6
mean: [2.639492, 1.639521, 2.854875, -0.059354, -0.057719, 3.704223, 0.309923]
std: [2.601374, 1.768903, 2.758830, 0.717451, 0.897434, 3.356399, 0.354119]
pca: [[0.474019, 0.162797, 0.674328, -0.281234, -0.437772, -0.152426, 0.010722, 0.000000, 0.000000, 0.000000], [0.322259, -0.216424, -0.172183, 0.728445, -0.485894, 0.076049, 0.217151, 0.000000, 0.000000, 0.000000], [0.503050, -0.082299, -0.415280, -0.382718, -0.088688, 0.580763, -0.275837, 0.000000, 0.000000, 0.000000], [-0.128569, 0.305185, -0.484967, -0.150061, -0.502252, -0.522999, -0.326857, 0.000000, 0.000000, 0.000000], [-0.159396, 0.540263, 0.237170, 0.405448, -0.013757, 0.382487, -0.561771, 0.000000, 0.000000, 0.000000], [0.611824, 0.310373, -0.143725, 0.215217, 0.552957, -0.391112, -0.060291, 0.000000, 0.000000, 0.000000], [-0.046154, 0.662217, -0.176289, -0.102850, -0.078676, 0.246790, 0.671258, 0.000000, 0.000000, 0.000000]]
fourier: [[40.111466, 41.340276, 44.440124, 51.393896, 237.554275], [28.282590, 28.290725, 29.875012, 33.856545, 147.556886], [42.560324, 43.748482, 46.326593, 52.941706, 256.938778], [10.794554, 10.943179, 12.779942, 13.367943, 14.100886], [13.244192, 13.933435, 15.754884, 15.970961, 16.465955], [50.414520, 53.879211, 55.586414, 65.021254, 333.380040], [5.899461, 6.251311, 7.201245, 8.172862, 27.893094]]
### 8
mean: [-0.533311, 4.142553, 4.488313, 2.943225, 5.631543, -0.358757, 0.863596]
std: [1.500497, 4.779265, 5.102153, 3.548105, 6.247639, 1.857136, 0.770022]
pca: [[-0.143011, 0.685977, 0.633812, -0.175493, 0.245810, -0.108347, 0.065618, 0.000000, 0.000000, 0.000000], [0.462724, 0.219754, -0.422026, -0.165320, 0.653330, 0.211073, 0.246509, 0.000000, 0.000000, 0.000000], [0.494053, 0.130319, 0.196378, 0.656497, 0.061425, 0.090482, -0.507362, 0.000000, 0.000000, 0.000000], [0.343576, -0.006180, 0.299977, -0.079308, -0.434019, 0.654688, 0.410674, 0.000000, 0.000000, 0.000000], [0.605005, 0.081998, -0.014450, -0.441095, -0.363256, -0.537839, -0.106043, 0.000000, 0.000000, 0.000000], [-0.178098, 0.673595, -0.539457, 0.109522, -0.429049, 0.135589, -0.095259, 0.000000, 0.000000, 0.000000], [0.074505, 0.060568, -0.020080, 0.545925, -0.067483, -0.446374, 0.698956, 0.000000, 0.000000, 0.000000]]
fourier: [[24.432383, 25.585189, 28.913390, 31.299892, 47.998015], [73.254854, 74.580160, 83.433376, 93.941435, 372.829797], [79.324078, 79.892492, 88.807255, 99.895354, 403.948201], [55.120679, 55.651102, 62.477832, 69.487656, 264.890256], [97.117726, 97.205441, 110.116556, 122.621258, 506.838861], [27.737581, 31.791777, 32.288095, 34.989171, 37.315612], [11.887786, 12.360236, 12.997272, 15.005708, 77.723621]]
### 10
mean: [-9.563347]
std: [11.469211]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[176.073144, 177.083119, 204.587569, 221.921497, 860.701236]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.168325,
-0.532983,
0.513988,
0.68456,
0.203003,
0.571182
],
[
-0.053349,
0.080243,
-0.131935,
-0.157845,
0.072298,
0.322667,
-0.132602
]
],
"network.8.bias": [
0.188654,
-0.396648,
-0.261452,
-0.226086,
-0.021246,
0.646322,
0.100138
],
"network.10.weight": [
[
0.16692,
-0.688382,
-0.609012,
-0.459707,
-0.54161,
0.753648,
-0.163518
]
],
"network.10.bias": [
0.61825
]
}
## Activation Signature
### 0
mean: [-2.143032, -1.817612, 3.558027, -0.211001, -0.197881, 2.388802, -2.076084]
std: [2.246821, 1.573190, 2.563993, 1.558386, 1.677951, 2.459475, 2.021035]
pca: [[-0.465549, -0.169848, 0.366035, -0.174164, -0.214288, 0.616318, -0.405381, 0.000000, 0.000000, 0.000000], [-0.265096, 0.330129, -0.264160, 0.372075, 0.688518, 0.370668, -0.032667, 0.000000, 0.000000, 0.000000], [0.518129, 0.237191, 0.234411, -0.615671, 0.417564, 0.150181, -0.210641, 0.000000, 0.000000, 0.000000], [-0.202181, 0.525879, 0.247239, 0.151804, -0.068057, -0.513371, -0.574648, 0.000000, 0.000000, 0.000000], [-0.151942, 0.646591, 0.274797, -0.118567, -0.264123, 0.174461, 0.607507, 0.000000, 0.000000, 0.000000], [0.490397, -0.065825, 0.557671, 0.636620, -0.015468, 0.196610, 0.001520, 0.000000, 0.000000, 0.000000], [-0.374270, -0.327025, 0.541896, -0.098942, 0.480658, -0.357157, 0.301567, 0.000000, 0.000000, 0.000000]]
fourier: [[36.838964, 38.276797, 38.483883, 44.847589, 192.872897], [26.542487, 28.659838, 30.869802, 32.233604, 163.585090], [41.120318, 42.623758, 46.064996, 47.531878, 320.222399], [26.386712, 27.017850, 28.552578, 29.552810, 30.132093], [26.937996, 29.171449, 30.537741, 30.773841, 32.603829], [41.369578, 42.940420, 44.969174, 48.557395, 214.992138], [31.095030, 32.212357, 37.470116, 38.728024, 186.847544]]
### 2
mean: [-1.918265, -0.857141, 0.668630, -0.940142, 2.047255, -1.788621, 4.054095]
std: [1.299301, 1.384174, 0.395858, 1.383038, 1.695947, 1.386907, 3.100452]
pca: [[-0.285603, 0.263104, 0.643985, 0.168495, 0.504934, 0.382960, -0.066955, 0.000000, 0.000000, 0.000000], [-0.087490, 0.709524, -0.617474, -0.031421, 0.234848, 0.162026, -0.158916, 0.000000, 0.000000, 0.000000], [0.073955, -0.050378, -0.206782, 0.679649, 0.105273, 0.118514, 0.679841, 0.000000, 0.000000, 0.000000], [-0.230124, -0.546757, -0.338626, -0.379276, 0.571996, 0.209842, 0.135535, 0.000000, 0.000000, 0.000000], [0.413471, 0.131758, 0.095972, -0.432189, -0.259857, 0.650908, 0.352812, 0.000000, 0.000000, 0.000000], [-0.316046, -0.282852, -0.188694, 0.337468, -0.398185, 0.578926, -0.420610, 0.000000, 0.000000, 0.000000], [0.762566, -0.168837, -0.042029, 0.253332, 0.354330, 0.100858, -0.433960, 0.000000, 0.000000, 0.000000]]
fourier: [[20.224677, 21.869111, 22.603437, 25.119336, 172.643815], [22.590025, 22.608632, 23.080774, 23.621461, 77.142654], [5.474007, 6.038052, 6.740571, 8.486331, 60.176742], [19.798519, 19.905192, 26.655024, 28.107777, 84.612752], [26.823533, 27.526724, 28.639085, 33.220661, 184.252936], [20.904764, 24.033314, 24.685923, 26.999070, 160.975919], [48.537274, 49.716356, 51.173112, 58.752494, 364.868577]]
### 4
mean: [2.882244, -1.758403, -0.174679, 0.601620, -0.479505, 2.755766, 0.783214]
std: [2.554544, 1.323746, 0.561291, 0.532311, 0.781447, 2.147802, 0.776786]
pca: [[0.671423, -0.252561, 0.076376, 0.432730, -0.364543, -0.280451, -0.284203, 0.000000, 0.000000, 0.000000], [-0.341599, -0.525305, 0.086531, 0.423976, 0.478628, 0.132833, -0.416405, 0.000000, 0.000000, 0.000000], [-0.143449, 0.227240, -0.458588, 0.547809, -0.342300, 0.543003, 0.073252, 0.000000, 0.000000, 0.000000], [0.098132, 0.773116, 0.149984, 0.269627, 0.387693, -0.150993, -0.352652, 0.000000, 0.000000, 0.000000], [-0.203133, 0.068046, 0.858186, 0.205676, -0.307465, 0.216468, 0.184194, 0.000000, 0.000000, 0.000000], [0.565136, -0.046315, 0.131463, -0.236925, 0.302592, 0.715290, -0.043112, 0.000000, 0.000000, 0.000000], [0.204088, -0.064392, -0.010741, 0.402195, 0.429479, -0.165992, 0.761788, 0.000000, 0.000000, 0.000000]]
fourier: [[39.751240, 40.869138, 41.655798, 49.057258, 259.401917], [21.750480, 21.751322, 21.895802, 25.584945, 158.256311], [8.937408, 9.203027, 9.977068, 10.357496, 15.721070], [7.857085, 8.182030, 9.998279, 10.286662, 54.145782], [11.957465, 12.609568, 13.845866, 15.242534, 43.155414], [33.061581, 35.090700, 35.322000, 41.425914, 248.018915], [11.759240, 12.178111, 12.773039, 15.058324, 70.489241]]
### 6
mean: [2.639492, 1.639521, 2.854875, -0.059354, -0.057719, 3.704223, 0.309923]
std: [2.601374, 1.768903, 2.758830, 0.717451, 0.897434, 3.356399, 0.354119]
pca: [[0.474019, 0.162797, 0.674328, -0.281234, -0.437772, -0.152426, 0.010722, 0.000000, 0.000000, 0.000000], [0.322259, -0.216424, -0.172183, 0.728445, -0.485894, 0.076049, 0.217151, 0.000000, 0.000000, 0.000000], [0.503050, -0.082299, -0.415280, -0.382718, -0.088688, 0.580763, -0.275837, 0.000000, 0.000000, 0.000000], [-0.128569, 0.305185, -0.484967, -0.150061, -0.502252, -0.522999, -0.326857, 0.000000, 0.000000, 0.000000], [-0.159396, 0.540263, 0.237170, 0.405448, -0.013757, 0.382487, -0.561771, 0.000000, 0.000000, 0.000000], [0.611824, 0.310373, -0.143725, 0.215217, 0.552957, -0.391112, -0.060291, 0.000000, 0.000000, 0.000000], [-0.046154, 0.662217, -0.176289, -0.102850, -0.078676, 0.246790, 0.671258, 0.000000, 0.000000, 0.000000]]
fourier: [[40.111466, 41.340276, 44.440124, 51.393896, 237.554275], [28.282590, 28.290725, 29.875012, 33.856545, 147.556886], [42.560324, 43.748482, 46.326593, 52.941706, 256.938778], [10.794554, 10.943179, 12.779942, 13.367943, 14.100886], [13.244192, 13.933435, 15.754884, 15.970961, 16.465955], [50.414520, 53.879211, 55.586414, 65.021254, 333.380040], [5.899461, 6.251311, 7.201245, 8.172862, 27.893094]]
### 8
mean: [-0.533311, 4.142553, 4.488313, 2.943225, 5.631543, -0.358757, 0.863596]
std: [1.500497, 4.779265, 5.102153, 3.548105, 6.247639, 1.857136, 0.770022]
pca: [[-0.143011, 0.685977, 0.633812, -0.175493, 0.245810, -0.108347, 0.065618, 0.000000, 0.000000, 0.000000], [0.462724, 0.219754, -0.422026, -0.165320, 0.653330, 0.211073, 0.246509, 0.000000, 0.000000, 0.000000], [0.494053, 0.130319, 0.196378, 0.656497, 0.061425, 0.090482, -0.507362, 0.000000, 0.000000, 0.000000], [0.343576, -0.006180, 0.299977, -0.079308, -0.434019, 0.654688, 0.410674, 0.000000, 0.000000, 0.000000], [0.605005, 0.081998, -0.014450, -0.441095, -0.363256, -0.537839, -0.106043, 0.000000, 0.000000, 0.000000], [-0.178098, 0.673595, -0.539457, 0.109522, -0.429049, 0.135589, -0.095259, 0.000000, 0.000000, 0.000000], [0.074505, 0.060568, -0.020080, 0.545925, -0.067483, -0.446374, 0.698956, 0.000000, 0.000000, 0.000000]]
fourier: [[24.432383, 25.585189, 28.913390, 31.299892, 47.998015], [73.254854, 74.580160, 83.433376, 93.941435, 372.829797], [79.324078, 79.892492, 88.807255, 99.895354, 403.948201], [55.120679, 55.651102, 62.477832, 69.487656, 264.890256], [97.117726, 97.205441, 110.116556, 122.621258, 506.838861], [27.737581, 31.791777, 32.288095, 34.989171, 37.315612], [11.887786, 12.360236, 12.997272, 15.005708, 77.723621]]
### 10
mean: [-9.563347]
std: [11.469211]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[176.073144, 177.083119, 204.587569, 221.921497, 860.701236]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
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204.5875690138082, 221.9214974936731, 860.701236307621]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.878565, -0.114813, -0.347208, -0.373918, 0.423605], [-0.300588, 0.11429, -0.562225, -0.058883, -0.279372], [0.536835, 0.629747, 0.62155, 0.218225, -0.179538], [-0.38255, 0.470466, -0.602524, 0.057577, 0.053152], [-0.423148, 0.610612, -0.512262, 0.183804, 0.039668], [0.979239, 0.282632, 0.172424, -0.017248, 0.22791], [-0.720063, -0.0371, -0.21054, -0.61706, 0.433985]], "network.0.bias": [0.164188, -0.006553, 0.197537, 0.47735, -0.156991, 0.050898, 0.115396], "network.2.weight": [[-0.67206, 0.658264, -0.070101, -0.248778, -0.116199, -0.472084, 0.122322], [0.294218, 0.13384, -0.257854, 0.754165, 0.431416, -0.082127, -0.121256], [-0.372069, -0.484627, -0.063461, 0.355317, -0.097692, 0.204578, -0.443377], [0.355348, -0.611833, -0.204903, -0.536585, -0.889137, 0.044285, 0.339034], [0.074196, 0.519591, 0.394079, 0.48198, 0.645441, 0.193711, 0.5069], [-0.267638, -0.506719, -0.362559, -0.719833, -0.458634, -0.034807, -0.066998], [-0.016156, 0.448518, 0.595126, 1.067821, 0.52552, 0.635955, -0.207401]], "network.2.bias": [-0.388051, -0.216022, 0.320591, 0.193078, -0.223193, 0.013322, -0.10994], "network.4.weight": [[-0.018391, 0.402619, 0.204157, 0.255555, 0.113411, 0.843189, 0.693103], [0.013836, 0.310521, 0.736603, -0.207909, -0.603638, 0.448393, -0.191718], [-0.139817, -0.219202, -0.175897, 0.544867, 0.232146, -0.76224, -0.24675], [-0.652502, -0.612357, -1.052368, 0.829971, 0.554586, -0.274682, -0.007357], [0.051523, -0.14509, -0.231808, 0.298552, -0.32124, -0.640418, -0.025127], [-0.421491, 0.113811, 0.177069, -0.195249, 0.395516, 0.304398, 0.44676], [-0.050914, 0.080962, 0.111488, 0.212397, 0.078512, 0.673162, 0.180886]], "network.4.bias": [-0.204604, -0.201123, 0.442077, 0.153451, 0.376183, 0.038272, -0.10317], "network.6.weight": [[0.494498, 0.438732, -0.50762, 0.313435, -0.46219, 0.525117, -0.089102], [0.27564, 0.166536, -0.202163, -0.209917, -0.19939, 0.477057, 0.03562], [0.679707, 0.62515, -0.273062, -0.04712, -0.006036, 0.405959, 0.085065], [-0.03836, -0.540212, 0.435843, 0.212036, 0.550318, -0.316246, 0.197649], [-0.305, -0.642573, 0.643538, 0.445282, 0.305984, 0.006428, -0.136476], [0.590717, 0.162353, 0.223559, 0.301822, -0.360919, 0.663886, 0.347428], [-0.106067, -0.563087, 0.686114, 0.53615, 0.57916, -0.032148, 0.110814]], "network.6.bias": [-0.237084, -0.337933, -0.156834, 0.614832, 0.604563, -0.160959, 0.300377], "network.8.weight": [[-0.553309, -0.093184, 0.053801, 0.821144, 0.592827, 0.118642, 0.241003], [0.676639, 0.159475, 0.245605, -0.157919, -0.752661, 0.539068, -0.021471], [0.185496, 0.201111, 0.600209, -0.627271, -0.455438, 0.67433, -0.26128], [0.200935, 0.252421, 0.667278, -0.597366, -0.383165, 0.139952, -0.049049], [0.85386, 0.58533, 0.45348, -0.713712, -0.769462, 0.397456, -0.165922], [-0.122746, -0.168325, -0.532983, 0.513988, 0.68456, 0.203003, 0.571182], [-0.053349, 0.080243, -0.131935, -0.157845, 0.072298, 0.322667, -0.132602]], "network.8.bias": [0.188654, -0.396648, -0.261452, -0.226086, -0.021246, 0.646322, 0.100138], "network.10.weight": [[0.16692, -0.688382, -0.609012, -0.459707, -0.54161, 0.753648, -0.163518]], "network.10.bias": [0.61825]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6993707418441772, "train_acc": 0.44, "val_loss": 0.6711463928222656, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6730897128582001, "train_acc": 0.54, "val_loss": 0.5765817165374756, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6260879039764404, "train_acc": 0.555, "val_loss": 0.561382532119751, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5747461318969727, "train_acc": 0.725, "val_loss": 0.3914969563484192, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4882464110851288, "train_acc": 0.72, "val_loss": 0.31125494837760925, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3832790106534958, "train_acc": 0.855, "val_loss": 0.3494071960449219, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.32791243493556976, "train_acc": 0.885, "val_loss": 0.2676067352294922, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.249074786901474, "train_acc": 0.915, "val_loss": 0.18551687896251678, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2582438290119171, "train_acc": 0.915, "val_loss": 0.17680564522743225, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.21417269855737686, "train_acc": 0.905, "val_loss": 0.3517068922519684, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.21541506052017212, "train_acc": 0.9, "val_loss": 0.16040319204330444, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.12057535722851753, "train_acc": 0.975, "val_loss": 0.1305004358291626, "val_acc": 0.96}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6711463928222656, "final_val_loss": 0.5765817165374756, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.561382532119751, "final_val_loss": 0.1305004358291626, "initial_val_acc": 0.8, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 8}, "improvement": 0.38, "first_improvement_epoch": 1}}
|
188
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.86, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3877, "learning_rate": 0.03952719534788068, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
-0.18283,
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]
],
"network.6.bias": [
0.58726,
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0.412035,
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-0.242238
],
"network.8.weight": [
[
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0.543293,
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],
[
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0.565817,
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],
[
0.21344,
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[
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],
[
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0.114131,
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],
[
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0.20891
]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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-0.377206,
-0.321218,
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],
"network.10.bias": [
0.415955
]
}
## Activation Signature
### 0
mean: [-2.568272, 1.007119, -2.601793, 0.505130, 0.326364, 1.530750]
std: [1.487752, 2.004266, 1.546197, 0.990429, 0.901051, 1.534310]
pca: [[-0.112485, 0.623860, 0.285029, 0.535618, 0.161651, -0.451538, 0.000000, 0.000000, 0.000000, 0.000000], [0.736023, -0.294795, 0.425214, -0.082431, -0.022529, -0.428085, 0.000000, 0.000000, 0.000000, 0.000000], [0.279797, 0.590044, 0.241992, -0.513668, 0.304547, 0.397992, 0.000000, 0.000000, 0.000000, 0.000000], [0.304648, -0.211007, -0.194570, 0.499340, 0.676062, 0.344104, 0.000000, 0.000000, 0.000000, 0.000000], [-0.132475, -0.156481, 0.700928, 0.316656, -0.291351, 0.530573, 0.000000, 0.000000, 0.000000, 0.000000], [-0.506923, -0.326698, 0.387600, -0.304718, 0.581951, -0.233547, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.010946, 25.307054, 25.627437, 25.934901, 231.144433], [27.921284, 29.132270, 38.512255, 39.032424, 90.640669], [24.533059, 25.820028, 28.544240, 30.710008, 234.161389], [14.638015, 15.660157, 16.200128, 17.106153, 45.461704], [13.354544, 14.162805, 15.609185, 19.701550, 29.372778], [24.759806, 25.098540, 26.672516, 29.203075, 137.767511]]
### 2
mean: [-0.152075, -0.299767, 1.017358, 0.992881, -0.598195, -0.188706]
std: [0.937825, 1.080725, 0.927670, 0.330615, 0.257718, 0.825958]
pca: [[0.505845, 0.184303, 0.150465, 0.450497, 0.696096, -0.004057, 0.000000, 0.000000, 0.000000, 0.000000], [0.575359, 0.318070, -0.476751, -0.273439, -0.225008, -0.463794, 0.000000, 0.000000, 0.000000, 0.000000], [-0.444323, 0.769477, -0.362216, 0.172169, 0.087220, 0.205018, 0.000000, 0.000000, 0.000000, 0.000000], [-0.110393, 0.363045, 0.641481, 0.240469, -0.313317, -0.537142, 0.000000, 0.000000, 0.000000, 0.000000], [-0.075692, -0.328463, -0.421978, 0.770155, -0.266468, -0.210176, 0.000000, 0.000000, 0.000000, 0.000000], [0.444684, 0.181880, 0.171188, 0.204151, -0.536695, 0.640431, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.992481, 13.686784, 14.347464, 15.289558, 18.481018], [14.772135, 16.718285, 17.043665, 22.672230, 26.979035], [14.789663, 15.446749, 17.264392, 18.024899, 91.562250], [5.669392, 5.828361, 5.906131, 6.168553, 89.359328], [4.165987, 4.408223, 4.616098, 4.855574, 53.837559], [11.552612, 12.521533, 13.547917, 16.237802, 16.983514]]
### 4
mean: [-0.270554, -0.830212, 1.180867, 1.090220, -0.380917, -0.681744]
std: [0.857723, 0.283943, 0.576159, 0.629831, 0.164952, 0.153439]
pca: [[0.706094, -0.274201, -0.352289, 0.078850, -0.268105, 0.473329, 0.000000, 0.000000, 0.000000, 0.000000], [0.017528, 0.759442, -0.539964, 0.343747, -0.074514, -0.087554, 0.000000, 0.000000, 0.000000, 0.000000], [-0.467177, -0.325440, -0.086911, 0.721128, 0.089780, 0.374426, 0.000000, 0.000000, 0.000000, 0.000000], [-0.521802, 0.037819, -0.323239, -0.537192, -0.381829, 0.432944, 0.000000, 0.000000, 0.000000, 0.000000], [0.056638, 0.383936, 0.675950, 0.184794, -0.502188, 0.325785, 0.000000, 0.000000, 0.000000, 0.000000], [0.085934, 0.305472, 0.124043, -0.181305, 0.718694, 0.578379, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.723390, 13.114181, 15.401536, 20.879435, 24.349890], [4.336073, 5.303146, 5.321767, 5.808023, 74.719101], [8.563441, 8.757211, 8.957689, 12.488463, 106.278012], [8.425510, 9.666477, 11.104611, 14.601757, 98.119771], [2.706361, 2.997710, 3.318879, 3.515212, 34.282485], [2.645554, 2.687802, 2.695978, 2.784183, 61.356947]]
### 6
mean: [1.917318, 2.059055, 0.895036, -0.705889, 1.068568, -0.940426]
std: [0.891630, 0.928936, 0.447744, 0.113483, 0.583698, 0.229733]
pca: [[0.595694, 0.226304, -0.024726, -0.446011, 0.029159, -0.627334, 0.000000, 0.000000, 0.000000, 0.000000], [0.621166, -0.020796, 0.004548, -0.224538, -0.153486, 0.734660, 0.000000, 0.000000, 0.000000, 0.000000], [0.294705, 0.470823, -0.399495, 0.711689, -0.152020, -0.047619, 0.000000, 0.000000, 0.000000, 0.000000], [-0.062204, 0.372088, 0.740474, 0.075531, -0.550060, -0.033291, 0.000000, 0.000000, 0.000000, 0.000000], [0.387894, -0.381351, 0.512186, 0.470238, 0.458429, -0.102439, 0.000000, 0.000000, 0.000000, 0.000000], [-0.134611, 0.665433, 0.170690, -0.131633, 0.663143, 0.229908, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.077207, 13.890569, 15.393905, 20.558716, 172.558628], [12.812101, 14.386001, 15.736435, 21.320825, 185.314998], [5.943368, 7.058373, 8.067316, 10.385847, 80.553272], [1.848481, 1.919969, 2.009208, 2.101091, 63.529980], [8.465744, 8.836055, 9.368392, 13.076937, 96.171131], [3.511933, 3.849877, 3.871841, 4.360218, 84.638310]]
### 8
mean: [2.967400, 3.780010, -0.462784, 2.525797, -0.691260, -0.404631]
std: [1.289076, 1.549742, 0.201126, 1.026459, 0.270808, 0.054543]
pca: [[0.563517, -0.314759, 0.157865, -0.351420, 0.659358, 0.014315, 0.000000, 0.000000, 0.000000, 0.000000], [0.677473, 0.320131, -0.313885, 0.581670, -0.041020, 0.000421, 0.000000, 0.000000, 0.000000, 0.000000], [-0.087753, 0.269089, 0.832005, 0.419153, 0.227825, -0.008071, 0.000000, 0.000000, 0.000000, 0.000000], [0.448719, 0.176338, 0.390870, -0.453276, -0.632378, -0.097034, 0.000000, 0.000000, 0.000000, 0.000000], [-0.117893, 0.725827, -0.172396, -0.332177, 0.321565, -0.464555, 0.000000, 0.000000, 0.000000, 0.000000], [-0.023051, 0.410018, -0.042693, -0.216041, 0.091403, 0.880059, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.083575, 19.830257, 20.728514, 29.196156, 267.066020], [22.858004, 23.941031, 25.071563, 35.225526, 340.200905], [3.024858, 3.064800, 3.111487, 4.517798, 41.650540], [15.107032, 15.870411, 16.639674, 23.323985, 227.321763], [4.053675, 4.093868, 4.171444, 5.988533, 62.213420], [0.830764, 0.844806, 0.864417, 1.122930, 36.416829]]
### 10
mean: [-4.184082]
std: [1.920965]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.412079, 29.596286, 30.949253, 43.583344, 376.567320]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.108231,
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],
[
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[
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],
[
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],
[
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],
[
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]
],
"network.0.bias": [
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0.41138,
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],
"network.2.weight": [
[
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[
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[
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[
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[
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[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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0.054003
],
[
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],
[
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[
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0.042371
],
[
0.08493,
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0.119899,
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]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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[
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[
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[
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[
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0.281711,
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[
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0.303617,
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]
],
"network.6.bias": [
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0.412035,
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-0.057506,
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],
"network.8.weight": [
[
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0.485576,
0.237897,
-0.323558,
0.543293,
-0.242902
],
[
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0.633446,
-0.238607,
0.565817,
-0.148874
],
[
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0.060103
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[
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[
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],
[
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],
"network.8.bias": [
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0.088064,
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],
"network.10.weight": [
[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-2.568272, 1.007119, -2.601793, 0.505130, 0.326364, 1.530750]
std: [1.487752, 2.004266, 1.546197, 0.990429, 0.901051, 1.534310]
pca: [[-0.112485, 0.623860, 0.285029, 0.535618, 0.161651, -0.451538, 0.000000, 0.000000, 0.000000, 0.000000], [0.736023, -0.294795, 0.425214, -0.082431, -0.022529, -0.428085, 0.000000, 0.000000, 0.000000, 0.000000], [0.279797, 0.590044, 0.241992, -0.513668, 0.304547, 0.397992, 0.000000, 0.000000, 0.000000, 0.000000], [0.304648, -0.211007, -0.194570, 0.499340, 0.676062, 0.344104, 0.000000, 0.000000, 0.000000, 0.000000], [-0.132475, -0.156481, 0.700928, 0.316656, -0.291351, 0.530573, 0.000000, 0.000000, 0.000000, 0.000000], [-0.506923, -0.326698, 0.387600, -0.304718, 0.581951, -0.233547, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.010946, 25.307054, 25.627437, 25.934901, 231.144433], [27.921284, 29.132270, 38.512255, 39.032424, 90.640669], [24.533059, 25.820028, 28.544240, 30.710008, 234.161389], [14.638015, 15.660157, 16.200128, 17.106153, 45.461704], [13.354544, 14.162805, 15.609185, 19.701550, 29.372778], [24.759806, 25.098540, 26.672516, 29.203075, 137.767511]]
### 2
mean: [-0.152075, -0.299767, 1.017358, 0.992881, -0.598195, -0.188706]
std: [0.937825, 1.080725, 0.927670, 0.330615, 0.257718, 0.825958]
pca: [[0.505845, 0.184303, 0.150465, 0.450497, 0.696096, -0.004057, 0.000000, 0.000000, 0.000000, 0.000000], [0.575359, 0.318070, -0.476751, -0.273439, -0.225008, -0.463794, 0.000000, 0.000000, 0.000000, 0.000000], [-0.444323, 0.769477, -0.362216, 0.172169, 0.087220, 0.205018, 0.000000, 0.000000, 0.000000, 0.000000], [-0.110393, 0.363045, 0.641481, 0.240469, -0.313317, -0.537142, 0.000000, 0.000000, 0.000000, 0.000000], [-0.075692, -0.328463, -0.421978, 0.770155, -0.266468, -0.210176, 0.000000, 0.000000, 0.000000, 0.000000], [0.444684, 0.181880, 0.171188, 0.204151, -0.536695, 0.640431, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.992481, 13.686784, 14.347464, 15.289558, 18.481018], [14.772135, 16.718285, 17.043665, 22.672230, 26.979035], [14.789663, 15.446749, 17.264392, 18.024899, 91.562250], [5.669392, 5.828361, 5.906131, 6.168553, 89.359328], [4.165987, 4.408223, 4.616098, 4.855574, 53.837559], [11.552612, 12.521533, 13.547917, 16.237802, 16.983514]]
### 4
mean: [-0.270554, -0.830212, 1.180867, 1.090220, -0.380917, -0.681744]
std: [0.857723, 0.283943, 0.576159, 0.629831, 0.164952, 0.153439]
pca: [[0.706094, -0.274201, -0.352289, 0.078850, -0.268105, 0.473329, 0.000000, 0.000000, 0.000000, 0.000000], [0.017528, 0.759442, -0.539964, 0.343747, -0.074514, -0.087554, 0.000000, 0.000000, 0.000000, 0.000000], [-0.467177, -0.325440, -0.086911, 0.721128, 0.089780, 0.374426, 0.000000, 0.000000, 0.000000, 0.000000], [-0.521802, 0.037819, -0.323239, -0.537192, -0.381829, 0.432944, 0.000000, 0.000000, 0.000000, 0.000000], [0.056638, 0.383936, 0.675950, 0.184794, -0.502188, 0.325785, 0.000000, 0.000000, 0.000000, 0.000000], [0.085934, 0.305472, 0.124043, -0.181305, 0.718694, 0.578379, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.723390, 13.114181, 15.401536, 20.879435, 24.349890], [4.336073, 5.303146, 5.321767, 5.808023, 74.719101], [8.563441, 8.757211, 8.957689, 12.488463, 106.278012], [8.425510, 9.666477, 11.104611, 14.601757, 98.119771], [2.706361, 2.997710, 3.318879, 3.515212, 34.282485], [2.645554, 2.687802, 2.695978, 2.784183, 61.356947]]
### 6
mean: [1.917318, 2.059055, 0.895036, -0.705889, 1.068568, -0.940426]
std: [0.891630, 0.928936, 0.447744, 0.113483, 0.583698, 0.229733]
pca: [[0.595694, 0.226304, -0.024726, -0.446011, 0.029159, -0.627334, 0.000000, 0.000000, 0.000000, 0.000000], [0.621166, -0.020796, 0.004548, -0.224538, -0.153486, 0.734660, 0.000000, 0.000000, 0.000000, 0.000000], [0.294705, 0.470823, -0.399495, 0.711689, -0.152020, -0.047619, 0.000000, 0.000000, 0.000000, 0.000000], [-0.062204, 0.372088, 0.740474, 0.075531, -0.550060, -0.033291, 0.000000, 0.000000, 0.000000, 0.000000], [0.387894, -0.381351, 0.512186, 0.470238, 0.458429, -0.102439, 0.000000, 0.000000, 0.000000, 0.000000], [-0.134611, 0.665433, 0.170690, -0.131633, 0.663143, 0.229908, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.077207, 13.890569, 15.393905, 20.558716, 172.558628], [12.812101, 14.386001, 15.736435, 21.320825, 185.314998], [5.943368, 7.058373, 8.067316, 10.385847, 80.553272], [1.848481, 1.919969, 2.009208, 2.101091, 63.529980], [8.465744, 8.836055, 9.368392, 13.076937, 96.171131], [3.511933, 3.849877, 3.871841, 4.360218, 84.638310]]
### 8
mean: [2.967400, 3.780010, -0.462784, 2.525797, -0.691260, -0.404631]
std: [1.289076, 1.549742, 0.201126, 1.026459, 0.270808, 0.054543]
pca: [[0.563517, -0.314759, 0.157865, -0.351420, 0.659358, 0.014315, 0.000000, 0.000000, 0.000000, 0.000000], [0.677473, 0.320131, -0.313885, 0.581670, -0.041020, 0.000421, 0.000000, 0.000000, 0.000000, 0.000000], [-0.087753, 0.269089, 0.832005, 0.419153, 0.227825, -0.008071, 0.000000, 0.000000, 0.000000, 0.000000], [0.448719, 0.176338, 0.390870, -0.453276, -0.632378, -0.097034, 0.000000, 0.000000, 0.000000, 0.000000], [-0.117893, 0.725827, -0.172396, -0.332177, 0.321565, -0.464555, 0.000000, 0.000000, 0.000000, 0.000000], [-0.023051, 0.410018, -0.042693, -0.216041, 0.091403, 0.880059, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.083575, 19.830257, 20.728514, 29.196156, 267.066020], [22.858004, 23.941031, 25.071563, 35.225526, 340.200905], [3.024858, 3.064800, 3.111487, 4.517798, 41.650540], [15.107032, 15.870411, 16.639674, 23.323985, 227.321763], [4.053675, 4.093868, 4.171444, 5.988533, 62.213420], [0.830764, 0.844806, 0.864417, 1.122930, 36.416829]]
### 10
mean: [-4.184082]
std: [1.920965]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.412079, 29.596286, 30.949253, 43.583344, 376.567320]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
|
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"model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.108231, -0.294382, -0.334253, -0.257182, -0.443174], [-0.778899, 0.182391, -0.121208, 0.361436, 0.576316], [-0.479778, 0.037743, -0.306884, -0.458867, 0.011862], [-0.119806, -0.161967, -0.055686, 0.277965, 0.375005], [0.10231, 0.151462, -0.066006, 0.281512, -0.316822], [0.456762, 0.40461, 0.113445, 0.101858, -0.346561]], "network.0.bias": [-0.370219, 0.41138, -0.463082, 0.007097, -0.152013, 0.197067], "network.2.weight": [[0.056825, 0.291027, 0.116934, 0.256896, -0.409406, -0.279255], [-0.084105, 0.389195, -0.170379, 0.187059, -0.12426, -0.40973], [0.059289, -0.061345, 0.066395, 0.013975, 0.497632, 0.461695], [-0.05497, -0.093706, -0.376466, 0.309084, -0.141123, 0.256743], [0.152948, 0.04158, 0.326455, -0.382273, 0.066202, -0.041603], [-0.317781, 0.23839, -0.154691, 0.266395, -0.348528, -0.244609]], "network.2.bias": [-0.056732, -0.248329, 0.08324, 0.592501, -0.37636, -0.114823], "network.4.weight": [[0.354841, 0.533363, -0.154343, -0.588027, -0.028935, 0.414688], [-0.124893, -0.191788, -0.106836, -0.549437, -0.338941, 0.054003], [-0.132826, -0.397005, 0.283994, 0.448764, -0.230519, -0.026534], [-0.574786, 0.025005, 0.225914, 0.299982, 0.292082, -0.319002], [0.222658, -0.379644, -0.205245, 0.042851, -0.02679, 0.042371], [0.08493, -0.012954, -0.127204, -0.141069, 0.119899, -0.103577]], "network.4.bias": [0.157474, -0.104353, 0.585294, 0.764924, -0.178421, -0.407287], "network.6.weight": [[-0.490126, 0.150262, 0.640228, 0.595722, 0.162063, -0.401883], [-0.409321, -0.077091, 0.724295, 0.663082, 0.334197, -0.245477], [-0.371614, 0.21528, 0.133777, 0.358216, -0.282458, -0.286379], [-0.135595, 0.176114, 0.083039, -0.405893, 0.05678, -0.077108], [-0.127309, -0.309456, 0.673763, 0.309276, 0.281711, -0.282712], [-0.18283, -0.334113, -0.226801, -0.341008, 0.303617, -0.363672]], "network.6.bias": [0.58726, 0.534274, 0.412035, -0.314194, -0.057506, -0.242238], "network.8.weight": [[0.613994, 0.485576, 0.237897, -0.323558, 0.543293, -0.242902], [0.760454, 0.469324, 0.633446, -0.238607, 0.565817, -0.148874], [0.21344, -0.079903, -0.367497, -0.323226, -0.318539, 0.060103], [0.334778, 0.57597, 0.312535, 0.30987, 0.271724, 0.131673], [-0.34889, 0.043177, 0.295114, 0.114131, -0.2545, 0.250885], [-0.172539, 0.089658, 0.190334, 0.375669, -0.116021, 0.20891]], "network.8.bias": [-0.053929, 0.11735, -0.026022, 0.088064, -0.095453, -0.303985], "network.10.weight": [[-0.615534, -0.481094, -0.203338, -0.377206, -0.321218, -0.025082]], "network.10.bias": [0.415955]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7211582958698273, "train_acc": 0.425, "val_loss": 0.6911683082580566, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6896977126598358, "train_acc": 0.53, "val_loss": 0.6855250597000122, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6666095554828644, "train_acc": 0.575, "val_loss": 0.6616966128349304, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6162329614162445, "train_acc": 0.575, "val_loss": 0.5918231010437012, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.607865035533905, "train_acc": 0.505, "val_loss": 0.5326559543609619, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5274974405765533, "train_acc": 0.615, "val_loss": 0.5153347253799438, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.516737550497055, "train_acc": 0.815, "val_loss": 0.45840248465538025, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4671352356672287, "train_acc": 0.815, "val_loss": 0.41023290157318115, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.42299535870552063, "train_acc": 0.835, "val_loss": 0.3967587351799011, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.437841072678566, "train_acc": 0.835, "val_loss": 0.381184846162796, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.38152676820755005, "train_acc": 0.84, "val_loss": 0.3728223443031311, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.39159564673900604, "train_acc": 0.835, "val_loss": 0.3647840917110443, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.3856354206800461, "train_acc": 0.83, "val_loss": 0.361471951007843, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.3863512724637985, "train_acc": 0.84, "val_loss": 0.3648410737514496, "val_acc": 0.84}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6911683082580566, "final_val_loss": 0.5918231010437012, "initial_val_acc": 0.52, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5326559543609619, "final_val_loss": 0.3648410737514496, "initial_val_acc": 0.48, "final_val_acc": 0.84, "best_val_acc": 0.86, "best_epoch": 7}, "improvement": 0.38, "first_improvement_epoch": 3}}
|
189
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.64, "improved_accuracy": 0.86, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2509, "learning_rate": 0.03253006162550978, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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],
"network.0.bias": [
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"network.2.weight": [
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[
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[
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0.40381
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[
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[
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[
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"network.2.bias": [
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[
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[
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"network.8.weight": [
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[
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],
"network.8.bias": [
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"network.10.weight": [
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[
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[
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[
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],
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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-1.059100, -1.828271, 0.532221, -0.067824, 0.595640, -0.811928]
std: [1.201940, 1.472035, 1.268900, 1.695648, 2.117128, 1.797427]
pca: [[0.001374, -0.422956, 0.330833, -0.360932, 0.762215, -0.020333, 0.000000, 0.000000, 0.000000, 0.000000], [0.364756, -0.270485, 0.361971, 0.767710, 0.062703, 0.263547, 0.000000, 0.000000, 0.000000, 0.000000], [0.428875, 0.116305, -0.307341, -0.293678, 0.079027, 0.784594, 0.000000, 0.000000, 0.000000, 0.000000], [-0.275282, 0.496891, 0.736532, -0.143537, -0.102843, 0.321964, 0.000000, 0.000000, 0.000000, 0.000000], [0.502941, 0.655320, -0.012318, 0.095813, 0.403269, -0.381640, 0.000000, 0.000000, 0.000000, 0.000000], [0.595221, -0.240986, 0.349910, -0.405363, -0.485438, -0.255405, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.393263, 20.287901, 22.904520, 26.132979, 95.319009], [22.027550, 24.659564, 29.219145, 30.998166, 164.544387], [19.884623, 20.369631, 20.382457, 25.456354, 47.899906], [25.735548, 26.762831, 27.492218, 27.942994, 32.141839], [29.530505, 31.447486, 36.136715, 44.446340, 53.607633], [28.225503, 28.341119, 28.487589, 29.536567, 73.073468]]
### 2
mean: [0.977571, 1.022895, -0.418668, -0.296372, 0.077993, 0.409608]
std: [1.465958, 1.155835, 0.906439, 1.246630, 0.670465, 0.525358]
pca: [[0.577579, 0.590277, 0.152317, -0.493973, 0.092504, -0.205448, 0.000000, 0.000000, 0.000000, 0.000000], [0.556614, 0.136606, 0.158541, 0.680553, -0.024901, 0.427330, 0.000000, 0.000000, 0.000000, 0.000000], [-0.358630, 0.316766, 0.519833, -0.143173, -0.588056, 0.366754, 0.000000, 0.000000, 0.000000, 0.000000], [-0.417135, 0.609560, -0.306108, 0.101788, 0.492319, 0.328625, 0.000000, 0.000000, 0.000000, 0.000000], [0.186798, -0.372719, -0.064123, -0.509115, 0.203030, 0.722258, 0.000000, 0.000000, 0.000000, 0.000000], [-0.138103, -0.148623, 0.763952, 0.052730, 0.601177, -0.104979, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.576657, 23.969272, 24.043258, 29.194656, 87.981368], [18.050383, 18.734994, 18.887568, 24.877358, 92.060502], [11.805507, 11.888576, 13.288138, 26.494028, 37.680079], [17.166603, 18.225359, 19.367767, 26.673476, 30.962877], [8.057302, 8.652709, 9.805747, 9.826402, 16.695586], [7.901292, 9.111931, 9.704846, 10.872422, 36.864702]]
### 4
mean: [-0.205530, -0.464505, -1.108646, -0.317252, 0.932929, 0.637311]
std: [0.419706, 0.358105, 0.722203, 0.181562, 1.365432, 0.935802]
pca: [[-0.030795, 0.813780, 0.132010, 0.513223, 0.042876, 0.232703, 0.000000, 0.000000, 0.000000, 0.000000], [-0.118647, 0.191729, 0.831669, -0.477064, 0.116936, -0.127377, 0.000000, 0.000000, 0.000000, 0.000000], [-0.364620, -0.524925, 0.434531, 0.580109, 0.043143, 0.253575, 0.000000, 0.000000, 0.000000, 0.000000], [-0.098153, -0.003302, -0.099679, -0.389260, 0.018225, 0.910255, 0.000000, 0.000000, 0.000000, 0.000000], [0.756891, -0.112737, 0.299893, 0.112954, -0.530839, 0.172979, 0.000000, 0.000000, 0.000000, 0.000000], [0.519141, -0.112849, 0.047018, 0.090575, 0.836961, 0.082695, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.648727, 6.690916, 7.258135, 7.536796, 18.497741], [5.702437, 5.953341, 6.872457, 7.674068, 41.805424], [11.089576, 12.174903, 12.191840, 14.780400, 99.778122], [2.915126, 3.015725, 3.164430, 3.739688, 28.552656], [23.363325, 23.855479, 23.878844, 24.531404, 83.963623], [14.882708, 15.538160, 16.249444, 16.951688, 57.357974]]
### 6
mean: [1.080725, -0.268206, -0.518712, 0.602119, -0.326549, 0.791198]
std: [1.340236, 0.135218, 0.532795, 0.994745, 0.131097, 1.082956]
pca: [[0.649502, 0.240456, -0.222758, 0.004501, 0.366044, -0.580257, 0.000000, 0.000000, 0.000000, 0.000000], [0.034971, 0.758315, 0.396939, 0.169757, 0.294504, 0.388103, 0.000000, 0.000000, 0.000000, 0.000000], [-0.258296, -0.012324, 0.037789, 0.901442, -0.060337, -0.339803, 0.000000, 0.000000, 0.000000, 0.000000], [0.481851, -0.263314, -0.379303, 0.392375, 0.078068, 0.628142, 0.000000, 0.000000, 0.000000, 0.000000], [-0.050743, -0.520731, 0.459634, 0.008496, 0.717576, 0.003696, 0.000000, 0.000000, 0.000000, 0.000000], [0.524835, -0.162765, 0.660497, 0.067341, -0.504608, -0.051344, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.127989, 22.634886, 23.172025, 23.285682, 97.265239], [1.976235, 2.201225, 2.327319, 3.478342, 24.138515], [8.947999, 8.992124, 9.022048, 9.332438, 46.684091], [15.895777, 16.669065, 17.119151, 17.781441, 54.190695], [1.932555, 2.165288, 2.165807, 3.001610, 29.389374], [18.114500, 18.308712, 18.586898, 18.998920, 71.207778]]
### 8
mean: [0.025605, -0.382618, -0.249576, -0.561725, 1.337298, -0.690555]
std: [0.835338, 0.044139, 0.741300, 0.742278, 1.797350, 0.217595]
pca: [[-0.370702, -0.087825, 0.267645, -0.367125, 0.780499, -0.198176, 0.000000, 0.000000, 0.000000, 0.000000], [0.019389, -0.099142, 0.549682, -0.459194, -0.242254, 0.646606, 0.000000, 0.000000, 0.000000, 0.000000], [-0.328930, 0.774329, -0.337706, -0.395411, -0.116080, 0.091379, 0.000000, 0.000000, 0.000000, 0.000000], [-0.329395, 0.123774, 0.557257, 0.040427, -0.464446, -0.590169, 0.000000, 0.000000, 0.000000, 0.000000], [0.797620, 0.388354, 0.247242, -0.225063, 0.162435, -0.273527, 0.000000, 0.000000, 0.000000, 0.000000], [-0.096494, 0.465546, 0.374843, 0.667625, 0.276703, 0.333408, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.132337, 13.763700, 13.864818, 14.421136, 14.557814], [0.700299, 0.722945, 0.776167, 0.802893, 34.435623], [12.300597, 12.473525, 12.754737, 12.842255, 22.461818], [12.181758, 12.364356, 12.792525, 12.933673, 50.555229], [29.676688, 29.743383, 31.147299, 31.195150, 120.356803], [3.526238, 3.707026, 3.728861, 3.748789, 62.149968]]
### 10
mean: [0.844482, 0.519113, 0.267459, 0.171646, 0.478916, 0.207525]
std: [1.213968, 0.587264, 0.830679, 0.300584, 0.636104, 0.408297]
pca: [[0.683850, 0.381007, -0.323286, 0.409346, 0.246670, 0.232933, 0.000000, 0.000000, 0.000000, 0.000000], [-0.324186, 0.728462, -0.368598, -0.431774, 0.144287, -0.145376, 0.000000, 0.000000, 0.000000, 0.000000], [-0.468549, -0.042887, -0.481660, 0.680865, -0.218515, -0.187885, 0.000000, 0.000000, 0.000000, 0.000000], [0.163425, 0.482611, 0.505591, 0.221520, -0.521965, -0.404027, 0.000000, 0.000000, 0.000000, 0.000000], [-0.358297, 0.204741, 0.511385, 0.364027, 0.653129, 0.095380, 0.000000, 0.000000, 0.000000, 0.000000], [-0.229410, 0.217958, 0.102415, 0.029033, -0.414200, 0.846742, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.417278, 20.676014, 20.805622, 21.485895, 76.003354], [9.212248, 10.552525, 10.792285, 10.910827, 46.720131], [12.955147, 14.362197, 14.503763, 14.823523, 24.071326], [4.713724, 4.823999, 4.826361, 5.851108, 15.448102], [10.086673, 11.146246, 11.243823, 11.610134, 43.102450], [6.459184, 7.213856, 7.301448, 7.486151, 18.677253]]
### 12
mean: [-1.085105]
std: [1.446391]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.460969, 25.505282, 25.622757, 27.550543, 97.659431]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.224547,
-0.421087,
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[
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-0.149851,
-0.354637,
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[
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0.317688,
0.376074,
0.008911,
-0.470666
],
[
0.824176,
0.127284,
-0.468219,
0.013897,
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],
[
0.122741,
0.50824,
0.007391,
0.219544,
-0.987144
],
[
-0.596364,
0.440173,
0.381502,
-0.615581,
-0.339917
]
],
"network.0.bias": [
-0.31375,
0.069361,
0.113606,
-0.266006,
0.248008,
0.070514
],
"network.2.weight": [
[
0.06501,
0.029807,
0.605604,
-0.447937,
0.623993,
0.465138
],
[
-0.386219,
0.229272,
0.498698,
-0.037816,
0.586186,
0.134257
],
[
0.320316,
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0.11641,
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0.40381
],
[
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[
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],
[
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0.089567
]
],
"network.2.bias": [
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0.092075,
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],
"network.4.weight": [
[
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],
[
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[
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[
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0.048164,
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0.010484
],
[
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],
[
0.479807,
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-0.180073
]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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[
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0.038054,
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[
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0.215367
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],
"network.6.bias": [
0.057595,
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-0.119043,
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-0.20446,
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],
"network.8.weight": [
[
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],
[
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[
-0.105261,
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[
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[
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],
[
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-0.015368,
-0.320098
]
],
"network.8.bias": [
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-0.004078,
-0.040343,
-0.532521
],
"network.10.weight": [
[
-0.348136,
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],
[
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0.578354,
0.015927,
-0.165983,
-0.033645
],
[
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0.331808,
-0.385539,
0.323532
],
[
0.288869,
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],
[
0.53433,
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],
[
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-0.054324
]
],
"network.10.bias": [
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0.605751,
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],
"network.12.weight": [
[
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0.317477,
-0.772228,
-0.298385
]
],
"network.12.bias": [
-0.403827
]
}
## Activation Signature
### 0
mean: [-1.059100, -1.828271, 0.532221, -0.067824, 0.595640, -0.811928]
std: [1.201940, 1.472035, 1.268900, 1.695648, 2.117128, 1.797427]
pca: [[0.001374, -0.422956, 0.330833, -0.360932, 0.762215, -0.020333, 0.000000, 0.000000, 0.000000, 0.000000], [0.364756, -0.270485, 0.361971, 0.767710, 0.062703, 0.263547, 0.000000, 0.000000, 0.000000, 0.000000], [0.428875, 0.116305, -0.307341, -0.293678, 0.079027, 0.784594, 0.000000, 0.000000, 0.000000, 0.000000], [-0.275282, 0.496891, 0.736532, -0.143537, -0.102843, 0.321964, 0.000000, 0.000000, 0.000000, 0.000000], [0.502941, 0.655320, -0.012318, 0.095813, 0.403269, -0.381640, 0.000000, 0.000000, 0.000000, 0.000000], [0.595221, -0.240986, 0.349910, -0.405363, -0.485438, -0.255405, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.393263, 20.287901, 22.904520, 26.132979, 95.319009], [22.027550, 24.659564, 29.219145, 30.998166, 164.544387], [19.884623, 20.369631, 20.382457, 25.456354, 47.899906], [25.735548, 26.762831, 27.492218, 27.942994, 32.141839], [29.530505, 31.447486, 36.136715, 44.446340, 53.607633], [28.225503, 28.341119, 28.487589, 29.536567, 73.073468]]
### 2
mean: [0.977571, 1.022895, -0.418668, -0.296372, 0.077993, 0.409608]
std: [1.465958, 1.155835, 0.906439, 1.246630, 0.670465, 0.525358]
pca: [[0.577579, 0.590277, 0.152317, -0.493973, 0.092504, -0.205448, 0.000000, 0.000000, 0.000000, 0.000000], [0.556614, 0.136606, 0.158541, 0.680553, -0.024901, 0.427330, 0.000000, 0.000000, 0.000000, 0.000000], [-0.358630, 0.316766, 0.519833, -0.143173, -0.588056, 0.366754, 0.000000, 0.000000, 0.000000, 0.000000], [-0.417135, 0.609560, -0.306108, 0.101788, 0.492319, 0.328625, 0.000000, 0.000000, 0.000000, 0.000000], [0.186798, -0.372719, -0.064123, -0.509115, 0.203030, 0.722258, 0.000000, 0.000000, 0.000000, 0.000000], [-0.138103, -0.148623, 0.763952, 0.052730, 0.601177, -0.104979, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.576657, 23.969272, 24.043258, 29.194656, 87.981368], [18.050383, 18.734994, 18.887568, 24.877358, 92.060502], [11.805507, 11.888576, 13.288138, 26.494028, 37.680079], [17.166603, 18.225359, 19.367767, 26.673476, 30.962877], [8.057302, 8.652709, 9.805747, 9.826402, 16.695586], [7.901292, 9.111931, 9.704846, 10.872422, 36.864702]]
### 4
mean: [-0.205530, -0.464505, -1.108646, -0.317252, 0.932929, 0.637311]
std: [0.419706, 0.358105, 0.722203, 0.181562, 1.365432, 0.935802]
pca: [[-0.030795, 0.813780, 0.132010, 0.513223, 0.042876, 0.232703, 0.000000, 0.000000, 0.000000, 0.000000], [-0.118647, 0.191729, 0.831669, -0.477064, 0.116936, -0.127377, 0.000000, 0.000000, 0.000000, 0.000000], [-0.364620, -0.524925, 0.434531, 0.580109, 0.043143, 0.253575, 0.000000, 0.000000, 0.000000, 0.000000], [-0.098153, -0.003302, -0.099679, -0.389260, 0.018225, 0.910255, 0.000000, 0.000000, 0.000000, 0.000000], [0.756891, -0.112737, 0.299893, 0.112954, -0.530839, 0.172979, 0.000000, 0.000000, 0.000000, 0.000000], [0.519141, -0.112849, 0.047018, 0.090575, 0.836961, 0.082695, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.648727, 6.690916, 7.258135, 7.536796, 18.497741], [5.702437, 5.953341, 6.872457, 7.674068, 41.805424], [11.089576, 12.174903, 12.191840, 14.780400, 99.778122], [2.915126, 3.015725, 3.164430, 3.739688, 28.552656], [23.363325, 23.855479, 23.878844, 24.531404, 83.963623], [14.882708, 15.538160, 16.249444, 16.951688, 57.357974]]
### 6
mean: [1.080725, -0.268206, -0.518712, 0.602119, -0.326549, 0.791198]
std: [1.340236, 0.135218, 0.532795, 0.994745, 0.131097, 1.082956]
pca: [[0.649502, 0.240456, -0.222758, 0.004501, 0.366044, -0.580257, 0.000000, 0.000000, 0.000000, 0.000000], [0.034971, 0.758315, 0.396939, 0.169757, 0.294504, 0.388103, 0.000000, 0.000000, 0.000000, 0.000000], [-0.258296, -0.012324, 0.037789, 0.901442, -0.060337, -0.339803, 0.000000, 0.000000, 0.000000, 0.000000], [0.481851, -0.263314, -0.379303, 0.392375, 0.078068, 0.628142, 0.000000, 0.000000, 0.000000, 0.000000], [-0.050743, -0.520731, 0.459634, 0.008496, 0.717576, 0.003696, 0.000000, 0.000000, 0.000000, 0.000000], [0.524835, -0.162765, 0.660497, 0.067341, -0.504608, -0.051344, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.127989, 22.634886, 23.172025, 23.285682, 97.265239], [1.976235, 2.201225, 2.327319, 3.478342, 24.138515], [8.947999, 8.992124, 9.022048, 9.332438, 46.684091], [15.895777, 16.669065, 17.119151, 17.781441, 54.190695], [1.932555, 2.165288, 2.165807, 3.001610, 29.389374], [18.114500, 18.308712, 18.586898, 18.998920, 71.207778]]
### 8
mean: [0.025605, -0.382618, -0.249576, -0.561725, 1.337298, -0.690555]
std: [0.835338, 0.044139, 0.741300, 0.742278, 1.797350, 0.217595]
pca: [[-0.370702, -0.087825, 0.267645, -0.367125, 0.780499, -0.198176, 0.000000, 0.000000, 0.000000, 0.000000], [0.019389, -0.099142, 0.549682, -0.459194, -0.242254, 0.646606, 0.000000, 0.000000, 0.000000, 0.000000], [-0.328930, 0.774329, -0.337706, -0.395411, -0.116080, 0.091379, 0.000000, 0.000000, 0.000000, 0.000000], [-0.329395, 0.123774, 0.557257, 0.040427, -0.464446, -0.590169, 0.000000, 0.000000, 0.000000, 0.000000], [0.797620, 0.388354, 0.247242, -0.225063, 0.162435, -0.273527, 0.000000, 0.000000, 0.000000, 0.000000], [-0.096494, 0.465546, 0.374843, 0.667625, 0.276703, 0.333408, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.132337, 13.763700, 13.864818, 14.421136, 14.557814], [0.700299, 0.722945, 0.776167, 0.802893, 34.435623], [12.300597, 12.473525, 12.754737, 12.842255, 22.461818], [12.181758, 12.364356, 12.792525, 12.933673, 50.555229], [29.676688, 29.743383, 31.147299, 31.195150, 120.356803], [3.526238, 3.707026, 3.728861, 3.748789, 62.149968]]
### 10
mean: [0.844482, 0.519113, 0.267459, 0.171646, 0.478916, 0.207525]
std: [1.213968, 0.587264, 0.830679, 0.300584, 0.636104, 0.408297]
pca: [[0.683850, 0.381007, -0.323286, 0.409346, 0.246670, 0.232933, 0.000000, 0.000000, 0.000000, 0.000000], [-0.324186, 0.728462, -0.368598, -0.431774, 0.144287, -0.145376, 0.000000, 0.000000, 0.000000, 0.000000], [-0.468549, -0.042887, -0.481660, 0.680865, -0.218515, -0.187885, 0.000000, 0.000000, 0.000000, 0.000000], [0.163425, 0.482611, 0.505591, 0.221520, -0.521965, -0.404027, 0.000000, 0.000000, 0.000000, 0.000000], [-0.358297, 0.204741, 0.511385, 0.364027, 0.653129, 0.095380, 0.000000, 0.000000, 0.000000, 0.000000], [-0.229410, 0.217958, 0.102415, 0.029033, -0.414200, 0.846742, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.417278, 20.676014, 20.805622, 21.485895, 76.003354], [9.212248, 10.552525, 10.792285, 10.910827, 46.720131], [12.955147, 14.362197, 14.503763, 14.823523, 24.071326], [4.713724, 4.823999, 4.826361, 5.851108, 15.448102], [10.086673, 11.146246, 11.243823, 11.610134, 43.102450], [6.459184, 7.213856, 7.301448, 7.486151, 18.677253]]
### 12
mean: [-1.085105]
std: [1.446391]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.460969, 25.505282, 25.622757, 27.550543, 97.659431]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.172744, -0.210975, 0.224547, -0.421087, 0.233519], [-0.5006, 0.045007, -0.149851, -0.354637, -0.229584], [-0.308958, 0.317688, 0.376074, 0.008911, -0.470666], [0.824176, 0.127284, -0.468219, 0.013897, -0.090116], [0.122741, 0.50824, 0.007391, 0.219544, -0.987144], [-0.596364, 0.440173, 0.381502, -0.615581, -0.339917]], "network.0.bias": [-0.31375, 0.069361, 0.113606, -0.266006, 0.248008, 0.070514], "network.2.weight": [[0.06501, 0.029807, 0.605604, -0.447937, 0.623993, 0.465138], [-0.386219, 0.229272, 0.498698, -0.037816, 0.586186, 0.134257], [0.320316, -0.091611, 0.11641, -0.005905, -0.676707, 0.40381], [0.439936, 0.050859, 0.19159, -0.548178, -0.660994, 0.111998], [-0.087465, -0.276789, -0.250048, 0.214058, 0.419313, -0.189316], [0.214463, -0.143353, 0.140259, 0.463718, -0.382772, 0.089567]], "network.2.bias": [-0.153305, -0.04493, 0.092075, 0.554526, -0.255774, 0.407526], "network.4.weight": [[-0.110447, 0.101062, -0.301218, -0.12889, 0.48441, 0.36704], [-0.401832, 0.301172, -0.213183, -0.421508, -0.436902, 0.20306], [-0.030948, -0.505834, -0.459835, 0.158725, -0.357541, 0.153167], [-0.239635, 0.14987, 0.26049, 0.048164, -0.092542, 0.010484], [0.574544, 0.497015, -0.54466, -0.209824, -0.379006, -0.247984], [0.479807, 0.210895, -0.00485, -0.387004, -0.194963, -0.180073]], "network.4.bias": [-0.409973, -0.145335, -0.488957, -0.246797, 0.150328, 0.147041], "network.6.weight": [[-0.061462, 0.328587, 0.068663, -0.413425, 0.606929, 0.610556], [0.416918, 0.218914, 0.335321, -0.210953, 0.151361, -0.116375], [0.072908, 0.069038, 0.448536, 0.026365, -0.250791, -0.226182], [-0.295018, 0.281085, -0.26374, 0.37831, 0.38579, 0.532937], [-0.289041, 0.058636, 0.113348, -0.377735, 0.038054, -0.18901], [-0.266668, 0.401175, 0.26477, 0.387866, 0.672581, 0.215367]], "network.6.bias": [0.057595, -0.384378, -0.119043, -0.120857, -0.20446, -0.004711], "network.8.weight": [[-0.194161, -0.059785, 0.044349, -0.260477, -0.357349, -0.308862], [0.102875, -0.268983, -0.040745, -0.058341, -0.184912, -0.037086], [-0.105261, 0.371383, -0.070885, 0.08192, 0.215114, -0.633126], [-0.082394, 0.038466, -0.159525, -0.218139, 0.040434, -0.398986], [0.634649, -0.227869, -0.34635, 0.573913, -0.168643, 0.38034], [0.082764, 0.293159, -0.35964, 0.015219, -0.015368, -0.320098]], "network.8.bias": [0.659963, -0.423881, 0.319615, -0.004078, -0.040343, -0.532521], "network.10.weight": [[-0.348136, -0.169733, -0.405423, -0.026794, 0.602393, -0.044835], [0.794296, -0.086437, 0.578354, 0.015927, -0.165983, -0.033645], [0.31781, 0.023164, 0.503618, 0.331808, -0.385539, 0.323532], [0.288869, -0.36007, -0.118139, 0.210018, 0.197579, 0.16496], [0.53433, -0.304085, 0.250436, 0.199544, -0.260921, -0.173818], [0.380213, 0.09521, 0.238176, -0.115708, -0.156094, -0.054324]], "network.10.bias": [0.218589, 0.379257, 0.598416, -0.175662, 0.605751, 0.249129], "network.12.weight": [[0.42977, -0.456806, -0.602142, 0.317477, -0.772228, -0.298385]], "network.12.bias": [-0.403827]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6837392747402191, "train_acc": 0.57, "val_loss": 0.7026306986808777, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6793045699596405, "train_acc": 0.57, "val_loss": 0.6959465146064758, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6571359038352966, "train_acc": 0.615, "val_loss": 0.6780059933662415, "val_acc": 0.6}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6183249950408936, "train_acc": 0.73, "val_loss": 0.6371422410011292, "val_acc": 0.64}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5448136925697327, "train_acc": 0.75, "val_loss": 0.6322370171546936, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5841360688209534, "train_acc": 0.725, "val_loss": 0.5703970193862915, "val_acc": 0.66}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.49269984662532806, "train_acc": 0.78, "val_loss": 0.588473379611969, "val_acc": 0.68}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4763313978910446, "train_acc": 0.775, "val_loss": 0.5001972913742065, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4123382866382599, "train_acc": 0.82, "val_loss": 0.4446152448654175, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.426710844039917, "train_acc": 0.835, "val_loss": 0.3958398401737213, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3418259769678116, "train_acc": 0.85, "val_loss": 0.3847483694553375, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.32856832444667816, "train_acc": 0.865, "val_loss": 0.4426685571670532, "val_acc": 0.74}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.327777162194252, "train_acc": 0.865, "val_loss": 0.37037450075149536, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.29568664729595184, "train_acc": 0.875, "val_loss": 0.33410653471946716, "val_acc": 0.86}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.7026306986808777, "final_val_loss": 0.6371422410011292, "initial_val_acc": 0.48, "final_val_acc": 0.64, "best_val_acc": 0.64}, "improved_stage": {"initial_val_loss": 0.6322370171546936, "final_val_loss": 0.33410653471946716, "initial_val_acc": 0.68, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 9}, "improvement": 0.21999999999999997, "first_improvement_epoch": 3}}
|
190
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.56, "improved_accuracy": 0.84, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6052, "learning_rate": 0.07039584230041451, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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],
[
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"network.0.bias": [
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"network.2.weight": [
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[
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[
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[
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[
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"network.6.weight": [
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"network.8.weight": [
[
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"network.10.weight": [
[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [0.302337, -0.874197, -1.835589, 1.750597, 1.518510, -0.281166, 1.357753]
std: [1.466778, 1.242448, 1.560758, 2.063966, 1.472727, 1.496767, 2.147446]
pca: [[-0.336766, 0.289246, -0.424457, 0.060526, 0.366278, 0.326383, 0.615153, 0.000000, 0.000000, 0.000000], [-0.373960, -0.009941, 0.004780, -0.158841, -0.432346, 0.740123, -0.316382, 0.000000, 0.000000, 0.000000], [-0.171489, -0.588287, -0.114595, 0.662069, 0.320455, 0.138878, -0.225973, 0.000000, 0.000000, 0.000000], [0.525804, 0.339911, 0.444921, 0.440076, 0.050789, 0.445060, 0.125344, 0.000000, 0.000000, 0.000000], [0.309679, 0.321189, -0.460492, -0.154059, 0.429217, 0.122875, -0.604834, 0.000000, 0.000000, 0.000000], [-0.310422, -0.031516, 0.618113, -0.351632, 0.616451, 0.079285, -0.103143, 0.000000, 0.000000, 0.000000], [-0.498600, 0.591998, 0.120874, 0.437864, -0.096991, -0.327021, -0.279736, 0.000000, 0.000000, 0.000000]]
fourier: [[21.770759, 23.321453, 24.694454, 27.210320, 34.134056], [20.497238, 21.008830, 24.102258, 24.275703, 78.677689], [24.949133, 25.970257, 26.004313, 26.873803, 165.203042], [34.569311, 37.239615, 42.053137, 46.664376, 157.553782], [24.948631, 25.883866, 26.535007, 29.891966, 136.665889], [21.559757, 23.351002, 25.304944, 29.690514, 32.112028], [32.579496, 32.750588, 37.376308, 39.548972, 122.197782]]
### 2
mean: [-1.189515, 0.286502, 1.189428, 1.246846, -1.229708, 0.442077, -2.054553]
std: [1.297040, 0.957221, 1.811623, 1.403345, 1.628425, 1.608158, 1.665670]
pca: [[0.351172, -0.231885, -0.135476, -0.167353, 0.475189, 0.507669, -0.541308, 0.000000, 0.000000, 0.000000], [-0.266292, 0.042162, 0.043191, 0.434046, 0.807613, -0.261751, 0.127661, 0.000000, 0.000000, 0.000000], [0.419983, 0.603674, -0.376619, 0.288575, 0.024047, 0.331852, 0.351242, 0.000000, 0.000000, 0.000000], [0.271212, 0.498690, 0.776688, -0.192357, 0.122919, -0.071317, -0.131576, 0.000000, 0.000000, 0.000000], [0.453410, -0.140217, 0.019516, 0.628416, -0.240681, -0.384466, -0.416809, 0.000000, 0.000000, 0.000000], [-0.448786, 0.039456, 0.318417, 0.503858, -0.215264, 0.607382, -0.162850, 0.000000, 0.000000, 0.000000], [0.385792, -0.556885, 0.364589, 0.120584, 0.044768, 0.204498, 0.591401, 0.000000, 0.000000, 0.000000]]
fourier: [[22.640877, 22.758471, 23.686443, 28.816360, 107.056365], [15.969339, 16.166983, 18.444673, 20.783358, 25.785226], [26.463067, 26.765662, 34.533492, 36.577050, 107.048505], [19.204398, 23.483137, 24.803026, 25.755023, 112.216148], [27.171231, 29.863247, 33.247059, 33.691357, 110.673691], [25.977972, 27.365148, 31.171574, 35.450770, 39.786907], [27.714775, 28.227767, 33.338672, 33.349483, 184.909747]]
### 4
mean: [0.298900, -0.636042, 0.780114, 1.644375, -0.320392, 0.081407, 0.308165]
std: [1.155237, 0.734445, 0.823938, 2.358765, 0.472395, 0.524980, 1.134997]
pca: [[-0.365682, 0.435383, 0.098640, 0.410261, 0.143969, -0.253978, 0.642995, 0.000000, 0.000000, 0.000000], [-0.214415, -0.427758, -0.308897, 0.286848, 0.723846, -0.173254, -0.198441, 0.000000, 0.000000, 0.000000], [0.267072, 0.149391, -0.257005, 0.419149, 0.113895, 0.799306, 0.112941, 0.000000, 0.000000, 0.000000], [0.774790, 0.267497, 0.254767, 0.015606, 0.419538, -0.294930, 0.000037, 0.000000, 0.000000, 0.000000], [-0.117979, -0.302097, 0.518919, -0.428661, 0.376900, 0.377830, 0.396209, 0.000000, 0.000000, 0.000000], [-0.144344, -0.057722, 0.703200, 0.526944, -0.085237, 0.082470, -0.435437, 0.000000, 0.000000, 0.000000], [-0.337522, 0.662569, -0.011291, -0.334744, 0.342077, 0.173344, -0.433400, 0.000000, 0.000000, 0.000000]]
fourier: [[18.385061, 19.228406, 24.830760, 25.923344, 26.901027], [10.673306, 11.207266, 11.837187, 15.745085, 57.243795], [12.350525, 12.769392, 15.573406, 18.453770, 70.210227], [37.430223, 37.915222, 42.854315, 54.759237, 147.993799], [6.774654, 7.084752, 7.881219, 8.041611, 28.835313], [6.669245, 6.959911, 7.326633, 9.940979, 9.984404], [18.538995, 18.774833, 23.827300, 25.324885, 27.734873]]
### 6
mean: [0.721555, 1.228751, 1.554426, 0.901440, 1.845227, -0.078749, 0.412939]
std: [0.995542, 1.745586, 1.711228, 1.506442, 2.187289, 0.303401, 1.399149]
pca: [[0.250335, 0.127119, 0.326278, -0.442763, 0.038177, -0.214670, 0.755736, 0.000000, 0.000000, 0.000000], [0.437683, 0.316327, 0.657561, 0.258804, -0.267926, -0.119117, -0.350757, 0.000000, 0.000000, 0.000000], [0.428568, 0.355562, -0.414667, 0.044350, 0.541596, -0.447026, -0.151099, 0.000000, 0.000000, 0.000000], [0.378751, -0.225349, -0.012766, 0.646944, 0.237212, 0.411454, 0.401874, 0.000000, 0.000000, 0.000000], [0.552286, 0.077628, -0.414845, -0.357757, -0.449411, 0.424217, -0.083293, 0.000000, 0.000000, 0.000000], [0.074003, -0.086554, 0.337968, -0.418565, 0.611565, 0.487249, -0.293580, 0.000000, 0.000000, 0.000000], [-0.328857, 0.832498, -0.052206, 0.115290, 0.034359, 0.391445, 0.168443, 0.000000, 0.000000, 0.000000]]
fourier: [[15.336958, 15.407874, 19.293473, 23.164135, 64.939913], [26.693930, 27.048952, 33.446255, 40.055443, 110.587599], [26.030937, 27.857531, 31.235610, 40.571408, 139.898334], [23.675055, 24.679455, 29.641865, 35.619182, 81.129605], [34.595951, 35.359620, 41.376892, 52.126497, 166.070410], [4.368817, 4.868439, 6.553841, 6.971055, 7.087390], [21.839842, 23.396141, 29.345415, 31.344316, 37.164538]]
### 8
mean: [3.598823, -3.478880, 4.501917, 3.043222, -2.949278, 0.838981, -1.923253]
std: [4.097545, 3.659133, 4.607580, 3.359183, 3.876459, 1.610959, 2.459573]
pca: [[0.441836, 0.196960, 0.111474, -0.285966, 0.176564, 0.772868, -0.208051, 0.000000, 0.000000, 0.000000], [-0.393178, 0.495058, -0.238165, 0.568202, -0.231252, 0.331574, -0.239444, 0.000000, 0.000000, 0.000000], [0.496518, -0.329791, -0.296193, 0.462599, 0.191014, -0.171277, -0.526457, 0.000000, 0.000000, 0.000000], [0.362265, -0.126589, 0.310719, 0.560434, -0.183169, 0.193539, 0.609178, 0.000000, 0.000000, 0.000000], [-0.417350, -0.375632, -0.174525, 0.154947, 0.691877, 0.318879, 0.223326, 0.000000, 0.000000, 0.000000], [0.167722, 0.640388, 0.212607, 0.137456, 0.604305, -0.352170, 0.092024, 0.000000, 0.000000, 0.000000], [-0.264791, -0.200352, 0.819093, 0.156152, 0.037851, 0.015229, -0.439071, 0.000000, 0.000000, 0.000000]]
fourier: [[61.902347, 63.911388, 77.136112, 93.455823, 323.894016], [55.929000, 57.161497, 66.708433, 80.646957, 313.099237], [70.583816, 71.614736, 85.796451, 102.657352, 405.172548], [51.963656, 52.134705, 62.586788, 75.557736, 273.890021], [57.720600, 60.641025, 73.574807, 89.243352, 265.434983], [25.292616, 25.390973, 31.824965, 37.906649, 75.508280], [36.797870, 37.870364, 47.258534, 56.026954, 173.092731]]
### 10
mean: [-7.431915]
std: [8.102085]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[124.281672, 125.184151, 150.718516, 181.048684, 668.872319]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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],
[
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[
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],
[
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[
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[
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],
[
-0.797072,
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]
],
"network.0.bias": [
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-0.246168,
0.000525,
0.182154,
0.200965
],
"network.2.weight": [
[
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[
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[
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[
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[
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[
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[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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[
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[
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[
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[
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[
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[
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"network.6.weight": [
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[
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[
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[
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[
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],
"network.6.bias": [
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"network.8.weight": [
[
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-0.480515
],
[
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-1.048295,
-0.145095,
-0.459054,
-0.340749,
-0.022099
],
[
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[
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[
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],
"network.8.bias": [
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],
"network.10.weight": [
[
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-0.530156,
0.649071,
-0.112732,
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],
"network.10.bias": [
0.40546
]
}
## Activation Signature
### 0
mean: [0.302337, -0.874197, -1.835589, 1.750597, 1.518510, -0.281166, 1.357753]
std: [1.466778, 1.242448, 1.560758, 2.063966, 1.472727, 1.496767, 2.147446]
pca: [[-0.336766, 0.289246, -0.424457, 0.060526, 0.366278, 0.326383, 0.615153, 0.000000, 0.000000, 0.000000], [-0.373960, -0.009941, 0.004780, -0.158841, -0.432346, 0.740123, -0.316382, 0.000000, 0.000000, 0.000000], [-0.171489, -0.588287, -0.114595, 0.662069, 0.320455, 0.138878, -0.225973, 0.000000, 0.000000, 0.000000], [0.525804, 0.339911, 0.444921, 0.440076, 0.050789, 0.445060, 0.125344, 0.000000, 0.000000, 0.000000], [0.309679, 0.321189, -0.460492, -0.154059, 0.429217, 0.122875, -0.604834, 0.000000, 0.000000, 0.000000], [-0.310422, -0.031516, 0.618113, -0.351632, 0.616451, 0.079285, -0.103143, 0.000000, 0.000000, 0.000000], [-0.498600, 0.591998, 0.120874, 0.437864, -0.096991, -0.327021, -0.279736, 0.000000, 0.000000, 0.000000]]
fourier: [[21.770759, 23.321453, 24.694454, 27.210320, 34.134056], [20.497238, 21.008830, 24.102258, 24.275703, 78.677689], [24.949133, 25.970257, 26.004313, 26.873803, 165.203042], [34.569311, 37.239615, 42.053137, 46.664376, 157.553782], [24.948631, 25.883866, 26.535007, 29.891966, 136.665889], [21.559757, 23.351002, 25.304944, 29.690514, 32.112028], [32.579496, 32.750588, 37.376308, 39.548972, 122.197782]]
### 2
mean: [-1.189515, 0.286502, 1.189428, 1.246846, -1.229708, 0.442077, -2.054553]
std: [1.297040, 0.957221, 1.811623, 1.403345, 1.628425, 1.608158, 1.665670]
pca: [[0.351172, -0.231885, -0.135476, -0.167353, 0.475189, 0.507669, -0.541308, 0.000000, 0.000000, 0.000000], [-0.266292, 0.042162, 0.043191, 0.434046, 0.807613, -0.261751, 0.127661, 0.000000, 0.000000, 0.000000], [0.419983, 0.603674, -0.376619, 0.288575, 0.024047, 0.331852, 0.351242, 0.000000, 0.000000, 0.000000], [0.271212, 0.498690, 0.776688, -0.192357, 0.122919, -0.071317, -0.131576, 0.000000, 0.000000, 0.000000], [0.453410, -0.140217, 0.019516, 0.628416, -0.240681, -0.384466, -0.416809, 0.000000, 0.000000, 0.000000], [-0.448786, 0.039456, 0.318417, 0.503858, -0.215264, 0.607382, -0.162850, 0.000000, 0.000000, 0.000000], [0.385792, -0.556885, 0.364589, 0.120584, 0.044768, 0.204498, 0.591401, 0.000000, 0.000000, 0.000000]]
fourier: [[22.640877, 22.758471, 23.686443, 28.816360, 107.056365], [15.969339, 16.166983, 18.444673, 20.783358, 25.785226], [26.463067, 26.765662, 34.533492, 36.577050, 107.048505], [19.204398, 23.483137, 24.803026, 25.755023, 112.216148], [27.171231, 29.863247, 33.247059, 33.691357, 110.673691], [25.977972, 27.365148, 31.171574, 35.450770, 39.786907], [27.714775, 28.227767, 33.338672, 33.349483, 184.909747]]
### 4
mean: [0.298900, -0.636042, 0.780114, 1.644375, -0.320392, 0.081407, 0.308165]
std: [1.155237, 0.734445, 0.823938, 2.358765, 0.472395, 0.524980, 1.134997]
pca: [[-0.365682, 0.435383, 0.098640, 0.410261, 0.143969, -0.253978, 0.642995, 0.000000, 0.000000, 0.000000], [-0.214415, -0.427758, -0.308897, 0.286848, 0.723846, -0.173254, -0.198441, 0.000000, 0.000000, 0.000000], [0.267072, 0.149391, -0.257005, 0.419149, 0.113895, 0.799306, 0.112941, 0.000000, 0.000000, 0.000000], [0.774790, 0.267497, 0.254767, 0.015606, 0.419538, -0.294930, 0.000037, 0.000000, 0.000000, 0.000000], [-0.117979, -0.302097, 0.518919, -0.428661, 0.376900, 0.377830, 0.396209, 0.000000, 0.000000, 0.000000], [-0.144344, -0.057722, 0.703200, 0.526944, -0.085237, 0.082470, -0.435437, 0.000000, 0.000000, 0.000000], [-0.337522, 0.662569, -0.011291, -0.334744, 0.342077, 0.173344, -0.433400, 0.000000, 0.000000, 0.000000]]
fourier: [[18.385061, 19.228406, 24.830760, 25.923344, 26.901027], [10.673306, 11.207266, 11.837187, 15.745085, 57.243795], [12.350525, 12.769392, 15.573406, 18.453770, 70.210227], [37.430223, 37.915222, 42.854315, 54.759237, 147.993799], [6.774654, 7.084752, 7.881219, 8.041611, 28.835313], [6.669245, 6.959911, 7.326633, 9.940979, 9.984404], [18.538995, 18.774833, 23.827300, 25.324885, 27.734873]]
### 6
mean: [0.721555, 1.228751, 1.554426, 0.901440, 1.845227, -0.078749, 0.412939]
std: [0.995542, 1.745586, 1.711228, 1.506442, 2.187289, 0.303401, 1.399149]
pca: [[0.250335, 0.127119, 0.326278, -0.442763, 0.038177, -0.214670, 0.755736, 0.000000, 0.000000, 0.000000], [0.437683, 0.316327, 0.657561, 0.258804, -0.267926, -0.119117, -0.350757, 0.000000, 0.000000, 0.000000], [0.428568, 0.355562, -0.414667, 0.044350, 0.541596, -0.447026, -0.151099, 0.000000, 0.000000, 0.000000], [0.378751, -0.225349, -0.012766, 0.646944, 0.237212, 0.411454, 0.401874, 0.000000, 0.000000, 0.000000], [0.552286, 0.077628, -0.414845, -0.357757, -0.449411, 0.424217, -0.083293, 0.000000, 0.000000, 0.000000], [0.074003, -0.086554, 0.337968, -0.418565, 0.611565, 0.487249, -0.293580, 0.000000, 0.000000, 0.000000], [-0.328857, 0.832498, -0.052206, 0.115290, 0.034359, 0.391445, 0.168443, 0.000000, 0.000000, 0.000000]]
fourier: [[15.336958, 15.407874, 19.293473, 23.164135, 64.939913], [26.693930, 27.048952, 33.446255, 40.055443, 110.587599], [26.030937, 27.857531, 31.235610, 40.571408, 139.898334], [23.675055, 24.679455, 29.641865, 35.619182, 81.129605], [34.595951, 35.359620, 41.376892, 52.126497, 166.070410], [4.368817, 4.868439, 6.553841, 6.971055, 7.087390], [21.839842, 23.396141, 29.345415, 31.344316, 37.164538]]
### 8
mean: [3.598823, -3.478880, 4.501917, 3.043222, -2.949278, 0.838981, -1.923253]
std: [4.097545, 3.659133, 4.607580, 3.359183, 3.876459, 1.610959, 2.459573]
pca: [[0.441836, 0.196960, 0.111474, -0.285966, 0.176564, 0.772868, -0.208051, 0.000000, 0.000000, 0.000000], [-0.393178, 0.495058, -0.238165, 0.568202, -0.231252, 0.331574, -0.239444, 0.000000, 0.000000, 0.000000], [0.496518, -0.329791, -0.296193, 0.462599, 0.191014, -0.171277, -0.526457, 0.000000, 0.000000, 0.000000], [0.362265, -0.126589, 0.310719, 0.560434, -0.183169, 0.193539, 0.609178, 0.000000, 0.000000, 0.000000], [-0.417350, -0.375632, -0.174525, 0.154947, 0.691877, 0.318879, 0.223326, 0.000000, 0.000000, 0.000000], [0.167722, 0.640388, 0.212607, 0.137456, 0.604305, -0.352170, 0.092024, 0.000000, 0.000000, 0.000000], [-0.264791, -0.200352, 0.819093, 0.156152, 0.037851, 0.015229, -0.439071, 0.000000, 0.000000, 0.000000]]
fourier: [[61.902347, 63.911388, 77.136112, 93.455823, 323.894016], [55.929000, 57.161497, 66.708433, 80.646957, 313.099237], [70.583816, 71.614736, 85.796451, 102.657352, 405.172548], [51.963656, 52.134705, 62.586788, 75.557736, 273.890021], [57.720600, 60.641025, 73.574807, 89.243352, 265.434983], [25.292616, 25.390973, 31.824965, 37.906649, 75.508280], [36.797870, 37.870364, 47.258534, 56.026954, 173.092731]]
### 10
mean: [-7.431915]
std: [8.102085]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[124.281672, 125.184151, 150.718516, 181.048684, 668.872319]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.66369, 0.443877, -0.04784, 0.17825, 0.121789], [-0.55082, -0.109161, -0.043253, 0.114588, 0.037029], [-0.303686, 0.09431, -0.358697, -0.644448, 0.201916], [0.886414, -0.169773, 0.240512, 0.192747, 0.232944], [0.346079, 0.519688, 0.035604, 0.139168, -0.188505], [-0.393821, -0.616143, 0.362467, 0.147699, 0.061324], [-0.797072, 0.050842, 0.130617, 0.513977, 0.552174]], "network.0.bias": [-0.113103, -0.190861, 0.25271, -0.246168, 0.000525, 0.182154, 0.200965], "network.2.weight": [[0.46512, 0.075446, -0.073491, -0.498205, -0.1034, 0.354152, -0.06181], [-0.207576, 0.48054, -0.292759, 0.354081, -0.01995, -0.575834, -0.093287], [0.535874, -0.381278, 0.365568, -0.1248, -0.155443, 0.242559, 0.760682], [0.176991, -0.669412, 0.458717, 0.137246, -0.496762, 0.809768, 0.495195], [0.180134, -0.122815, -0.070156, -0.537593, -0.296658, -0.157794, 0.302306], [-0.618626, 0.414315, 0.278155, 0.543609, 0.01314, -0.709497, -0.12622], [0.149759, 0.03784, -0.087454, -0.65579, -0.315086, 0.177667, -0.199171]], "network.2.bias": [-0.500134, 0.208115, -0.048723, 0.511648, -0.439329, 0.356997, -0.304876], "network.4.weight": [[0.233265, 0.269712, -0.299155, 0.079445, 0.12895, 0.490806, 0.093662], [0.482584, -0.526788, -0.087322, -0.42814, -0.07288, 0.389455, -0.279326], [-0.073954, -0.031416, 0.351195, 0.103694, -0.467767, -0.17376, -0.101311], [-0.676323, -0.385113, 0.574563, 0.611254, -0.488121, -0.532815, -0.569818], [0.199196, -0.124201, -0.354767, 0.015673, 0.386565, -0.010993, -0.235642], [-0.039323, -0.195218, -0.384424, 0.178768, -0.116402, 0.209647, -0.267801], [0.246304, 0.664086, -0.239446, 0.17058, 0.545762, 0.330767, 0.039991]], "network.4.bias": [0.183277, -0.029993, 0.273138, 0.492263, 0.211652, 0.269304, -0.02644], "network.6.weight": [[-0.202104, -0.074552, -0.127239, 0.407933, -0.50567, -0.407169, -0.100055], [-0.038968, -0.573377, 0.513431, 0.494412, -0.478659, -0.555012, -0.352841], [-0.049862, 0.261646, 0.280263, 0.654884, 0.364773, -0.043334, -0.414283], [-0.333261, -0.286133, 0.422752, 0.291049, 0.42574, -0.251829, -0.423853], [-0.396503, 0.280473, 0.014952, 0.811334, -0.157658, 0.014939, -0.525818], [-0.243067, -0.108678, -0.339489, 0.158108, -0.176009, -0.532436, 0.091551], [0.713734, 0.126985, 0.33677, -0.248634, 0.255374, 0.355952, 0.466365]], "network.6.bias": [0.164806, 0.053743, 0.291508, 0.397983, 0.643401, -0.012389, 0.084845], "network.8.weight": [[0.264679, 0.530891, 0.68978, 0.156606, 0.79806, 0.555115, -0.480515], [-0.670987, -0.375069, -1.048295, -0.145095, -0.459054, -0.340749, -0.022099], [0.616051, 0.591329, 0.471607, 0.883659, 0.825723, 0.326622, -0.156329], [0.59818, 0.12978, 0.35552, 0.353508, 0.92189, 0.201154, -0.144986], [-0.709107, -0.12707, -0.65049, -0.29331, -0.682774, -0.969716, 0.552531], [-0.089223, -0.085897, 0.211881, 0.212895, 0.382713, 0.289411, -0.537993], [-0.198834, -0.634692, -0.013962, -0.68737, -0.146762, -0.322777, 0.399238]], "network.8.bias": [-0.081335, 0.45552, -0.259021, -0.453483, 0.298518, -0.051608, 0.018548], "network.10.weight": [[-0.704774, 0.669962, -0.758781, -0.530156, 0.649071, -0.112732, 0.028829]], "network.10.bias": [0.40546]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6927381753921509, "train_acc": 0.49, "val_loss": 0.6819120049476624, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6771525740623474, "train_acc": 0.55, "val_loss": 0.5833500027656555, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5571248829364777, "train_acc": 0.485, "val_loss": 0.4640005826950073, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.3951069712638855, "train_acc": 0.91, "val_loss": 0.3751974403858185, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.31125564873218536, "train_acc": 0.91, "val_loss": 0.44120511412620544, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.25346803665161133, "train_acc": 0.915, "val_loss": 0.5158788561820984, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.17378921434283257, "train_acc": 0.94, "val_loss": 0.6097593307495117, "val_acc": 0.82}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6819120049476624, "final_val_loss": 0.5833500027656555, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.4640005826950073, "final_val_loss": 0.6097593307495117, "initial_val_acc": 0.72, "final_val_acc": 0.82, "best_val_acc": 0.84, "best_epoch": 5}, "improvement": 0.2799999999999999, "first_improvement_epoch": 1}}
|
191
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.38, "improved_accuracy": 0.86, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2398, "learning_rate": 0.05733021425561303, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [0.856717, 2.760536, 1.965839, 2.451072, 3.441834]
std: [2.216212, 1.866549, 2.518326, 1.950075, 2.922038]
pca: [[0.486942, -0.210007, 0.066824, 0.777497, -0.331387, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.046750, 0.642921, 0.758559, 0.091019, 0.027772, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.574202, -0.054054, 0.103177, -0.610322, -0.533134, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.091718, 0.688555, -0.576784, 0.116647, -0.413755, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.650063, 0.255968, -0.277124, -0.033388, 0.658776, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.418770, 35.578480, 36.208137, 46.770633, 77.104551], [30.025853, 30.845887, 33.700118, 34.269272, 248.448212], [39.266406, 42.613667, 42.743795, 53.308307, 176.925528], [31.534539, 32.659340, 35.447713, 39.559105, 220.596476], [46.556709, 47.690509, 54.189291, 65.945573, 309.765097]]
### 2
mean: [6.797928, -0.651848, -2.583113, 4.921937, -1.528456]
std: [6.002995, 4.759130, 1.723845, 5.522847, 4.377944]
pca: [[0.576145, 0.455749, 0.308333, 0.475541, -0.373017, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.439470, 0.595633, 0.447277, -0.468961, -0.179183, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.119071, -0.445363, 0.819744, 0.233368, 0.247050, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.537927, 0.231448, 0.100364, -0.384380, 0.706573, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.413981, 0.430810, -0.151068, 0.593067, 0.518144, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[98.509975, 99.293442, 112.982605, 136.209675, 611.813624], [70.420466, 70.607928, 71.027061, 73.706124, 90.896548], [26.683245, 32.924214, 33.037866, 33.838727, 232.480158], [90.715023, 92.398397, 100.772219, 123.650587, 442.974361], [65.849998, 67.748939, 68.683212, 87.642091, 137.561060]]
### 4
mean: [-2.663450, 1.002859, 2.257609, -1.496598, -2.238622]
std: [1.599535, 3.621927, 5.270693, 0.899950, 1.531909]
pca: [[-0.157409, 0.608352, 0.306340, 0.004022, 0.715032, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.547198, 0.306907, -0.273322, 0.728638, -0.027656, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.808102, 0.040529, 0.266464, -0.522770, 0.032195, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.101011, 0.298658, 0.719873, 0.197859, -0.585863, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.112090, 0.666991, -0.492170, -0.395771, -0.379069, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.172858, 30.426144, 30.516127, 32.218864, 239.710468], [55.157859, 57.076606, 57.136407, 70.511659, 90.257316], [81.632184, 83.755885, 85.873394, 110.371708, 203.184833], [13.271832, 15.600115, 17.073257, 19.204931, 134.693797], [27.093472, 28.794507, 29.277391, 31.929340, 201.476019]]
### 6
mean: [-1.954939, 1.153089, -1.400429, 2.493728, 2.057226]
std: [2.521851, 1.936898, 1.561702, 4.082564, 3.360836]
pca: [[-0.396184, 0.719125, 0.512374, 0.067618, 0.242486, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.304303, -0.363744, 0.436962, -0.249888, 0.722295, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.245364, -0.109791, -0.377850, 0.714519, 0.523865, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.641415, 0.581742, -0.424567, -0.095602, 0.246507, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.528036, -0.008490, 0.472768, 0.642890, -0.290327, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.213053, 42.925013, 47.519678, 56.766896, 175.944484], [30.047659, 33.028096, 36.448885, 43.562395, 103.777971], [24.077036, 26.754174, 29.283435, 35.041733, 126.038610], [62.829180, 70.029992, 76.472926, 91.542242, 224.435541], [51.906534, 57.501365, 63.083464, 75.462020, 185.150383]]
### 8
mean: [-1.939712]
std: [3.766031]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[57.441834, 64.964839, 70.385717, 84.071521, 174.574086]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [0.856717, 2.760536, 1.965839, 2.451072, 3.441834]
std: [2.216212, 1.866549, 2.518326, 1.950075, 2.922038]
pca: [[0.486942, -0.210007, 0.066824, 0.777497, -0.331387, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.046750, 0.642921, 0.758559, 0.091019, 0.027772, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.574202, -0.054054, 0.103177, -0.610322, -0.533134, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.091718, 0.688555, -0.576784, 0.116647, -0.413755, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.650063, 0.255968, -0.277124, -0.033388, 0.658776, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.418770, 35.578480, 36.208137, 46.770633, 77.104551], [30.025853, 30.845887, 33.700118, 34.269272, 248.448212], [39.266406, 42.613667, 42.743795, 53.308307, 176.925528], [31.534539, 32.659340, 35.447713, 39.559105, 220.596476], [46.556709, 47.690509, 54.189291, 65.945573, 309.765097]]
### 2
mean: [6.797928, -0.651848, -2.583113, 4.921937, -1.528456]
std: [6.002995, 4.759130, 1.723845, 5.522847, 4.377944]
pca: [[0.576145, 0.455749, 0.308333, 0.475541, -0.373017, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.439470, 0.595633, 0.447277, -0.468961, -0.179183, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.119071, -0.445363, 0.819744, 0.233368, 0.247050, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.537927, 0.231448, 0.100364, -0.384380, 0.706573, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.413981, 0.430810, -0.151068, 0.593067, 0.518144, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[98.509975, 99.293442, 112.982605, 136.209675, 611.813624], [70.420466, 70.607928, 71.027061, 73.706124, 90.896548], [26.683245, 32.924214, 33.037866, 33.838727, 232.480158], [90.715023, 92.398397, 100.772219, 123.650587, 442.974361], [65.849998, 67.748939, 68.683212, 87.642091, 137.561060]]
### 4
mean: [-2.663450, 1.002859, 2.257609, -1.496598, -2.238622]
std: [1.599535, 3.621927, 5.270693, 0.899950, 1.531909]
pca: [[-0.157409, 0.608352, 0.306340, 0.004022, 0.715032, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.547198, 0.306907, -0.273322, 0.728638, -0.027656, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.808102, 0.040529, 0.266464, -0.522770, 0.032195, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.101011, 0.298658, 0.719873, 0.197859, -0.585863, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.112090, 0.666991, -0.492170, -0.395771, -0.379069, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.172858, 30.426144, 30.516127, 32.218864, 239.710468], [55.157859, 57.076606, 57.136407, 70.511659, 90.257316], [81.632184, 83.755885, 85.873394, 110.371708, 203.184833], [13.271832, 15.600115, 17.073257, 19.204931, 134.693797], [27.093472, 28.794507, 29.277391, 31.929340, 201.476019]]
### 6
mean: [-1.954939, 1.153089, -1.400429, 2.493728, 2.057226]
std: [2.521851, 1.936898, 1.561702, 4.082564, 3.360836]
pca: [[-0.396184, 0.719125, 0.512374, 0.067618, 0.242486, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.304303, -0.363744, 0.436962, -0.249888, 0.722295, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.245364, -0.109791, -0.377850, 0.714519, 0.523865, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.641415, 0.581742, -0.424567, -0.095602, 0.246507, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.528036, -0.008490, 0.472768, 0.642890, -0.290327, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.213053, 42.925013, 47.519678, 56.766896, 175.944484], [30.047659, 33.028096, 36.448885, 43.562395, 103.777971], [24.077036, 26.754174, 29.283435, 35.041733, 126.038610], [62.829180, 70.029992, 76.472926, 91.542242, 224.435541], [51.906534, 57.501365, 63.083464, 75.462020, 185.150383]]
### 8
mean: [-1.939712]
std: [3.766031]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[57.441834, 64.964839, 70.385717, 84.071521, 174.574086]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.330303, -0.109525, -0.08058, -0.053085, 1.208749], [0.446182, -0.121703, 0.537979, 0.618887, -0.140885], [-0.528576, 0.134388, 0.076119, 0.131924, 1.306056], [0.634058, 0.408677, -0.044348, 0.418592, -0.310048], [-0.213766, 0.310511, -0.033511, 0.32347, 1.474603]], "network.0.bias": [0.258709, 0.149869, 0.326027, 0.494704, 0.699694], "network.2.weight": [[0.411493, -0.131944, 1.260959, 0.34246, 0.835061], [-0.443288, 0.299585, -1.077124, 0.763719, -0.28832], [-0.277373, -0.389493, 0.135707, -0.152802, -0.377135], [0.120721, -0.129096, 1.305396, 0.014209, 0.797966], [-0.203126, 0.378951, -0.687681, 0.640173, -0.706508]], "network.2.bias": [0.288085, 0.448663, 0.21672, -0.403463, -0.017896], "network.4.weight": [[-0.227098, -0.416432, 0.259814, -0.067439, -0.035453], [0.173767, -0.59366, -0.212148, 0.237047, -0.656149], [0.34774, -0.794662, 0.238944, 0.359193, -0.473261], [-0.227424, -0.309952, -0.203444, 0.072115, 0.208165], [-0.059836, -0.330831, -0.348158, -0.225669, -0.38075]], "network.4.bias": [-0.18696, -0.037864, -0.432309, -0.039096, 0.027495], "network.6.weight": [[0.214316, 0.069624, -0.617945, 0.024563, 0.295095], [0.435007, 0.023854, 0.428789, -0.182516, -0.121043], [-0.435218, -0.182892, -0.248718, -0.437452, -0.395046], [0.086172, 0.598924, 0.578553, 0.321533, 0.390038], [-0.199539, 0.294179, 0.594187, 0.32139, -0.181397]], "network.6.bias": [-0.170572, -0.21872, -0.291645, -0.406752, -0.327305], "network.8.weight": [[0.270074, -0.339579, -0.279782, -0.533749, -0.30468]], "network.8.bias": [0.549013]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6806655824184418, "train_acc": 0.61, "val_loss": 0.7444833517074585, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6122855842113495, "train_acc": 0.61, "val_loss": 0.7137806415557861, "val_acc": 0.38}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.5346544086933136, "train_acc": 0.61, "val_loss": 0.6595369577407837, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.529085248708725, "train_acc": 0.53, "val_loss": 0.6185991168022156, "val_acc": 0.38}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.682284414768219, "train_acc": 0.53, "val_loss": 0.593466579914093, "val_acc": 0.38}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.46458373963832855, "train_acc": 0.645, "val_loss": 0.5751352906227112, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4655899852514267, "train_acc": 0.79, "val_loss": 0.5599880218505859, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.445753276348114, "train_acc": 0.79, "val_loss": 0.5444464683532715, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4421895146369934, "train_acc": 0.795, "val_loss": 0.5244482159614563, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.4332544356584549, "train_acc": 0.795, "val_loss": 0.49638140201568604, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3986160606145859, "train_acc": 0.835, "val_loss": 0.42852669954299927, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.3721056878566742, "train_acc": 0.84, "val_loss": 0.4233264923095703, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.381844699382782, "train_acc": 0.85, "val_loss": 0.4459729790687561, "val_acc": 0.84}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.7444833517074585, "final_val_loss": 0.6595369577407837, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.6185991168022156, "final_val_loss": 0.4459729790687561, "initial_val_acc": 0.38, "final_val_acc": 0.84, "best_val_acc": 0.86, "best_epoch": 10}, "improvement": 0.48, "first_improvement_epoch": 2}}
|
192
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.42, "improved_accuracy": 0.62, "improvement": 0.2, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8397, "learning_rate": 0.06117443422661078, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "vowel_consonant", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["vowel_consonant"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.6.weight": [
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"network.8.weight": [
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"network.10.weight": [
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"network.12.weight": [
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [-0.817534, 0.462221, -0.228143, -1.997027, -3.060925, 0.518378, -0.761349, -4.262317]
std: [1.742427, 1.294025, 2.228631, 2.622605, 1.825220, 1.783602, 1.817498, 2.761573]
pca: [[0.324541, -0.025646, -0.392005, 0.376789, 0.656186, -0.323657, 0.234131, -0.090699, 0.000000, 0.000000], [0.049607, 0.412422, 0.035618, 0.331650, -0.445351, -0.071552, 0.703427, 0.133863, 0.000000, 0.000000], [0.010817, 0.731139, -0.084568, -0.518926, 0.342373, 0.232741, 0.079993, -0.105337, 0.000000, 0.000000], [0.571364, -0.052023, -0.369493, 0.104351, -0.166671, 0.641946, -0.129666, 0.258331, 0.000000, 0.000000], [0.350754, -0.000022, 0.421747, -0.225935, 0.169745, -0.284085, -0.000636, 0.733850, 0.000000, 0.000000], [-0.235445, 0.344211, 0.364598, 0.638493, 0.262109, 0.283538, -0.338163, 0.148426, 0.000000, 0.000000], [0.293250, 0.412846, -0.180577, 0.094145, -0.358277, -0.503325, -0.553200, -0.119839, 0.000000, 0.000000], [0.548799, -0.055278, 0.598311, 0.016809, 0.014391, 0.097101, 0.082309, -0.566653, 0.000000, 0.000000]]
fourier: [[28.468250, 29.012798, 29.342573, 29.918690, 73.578100], [20.727727, 23.642474, 24.954198, 28.199642, 41.599916], [29.734230, 30.208493, 31.830845, 40.713546, 50.293872], [42.724247, 42.897599, 43.037805, 45.063279, 179.732479], [27.838210, 28.748361, 33.958827, 36.020427, 275.483244], [31.754698, 32.068204, 32.109502, 32.390835, 46.654044], [29.065058, 30.662981, 31.833382, 36.270406, 68.521429], [43.008404, 43.400984, 53.214835, 56.132432, 383.608511]]
### 2
mean: [-0.890018, 1.169365, 1.291711, 0.611726, 1.166463, -0.138561, -0.945504, 1.334417]
std: [0.722374, 1.374478, 1.974803, 1.373842, 1.907383, 0.728370, 0.622514, 1.719405]
pca: [[-0.195075, 0.039519, 0.219952, 0.452918, 0.559898, -0.086079, 0.473640, 0.402045, 0.000000, 0.000000], [0.357617, 0.243158, -0.559756, -0.009174, 0.175858, 0.068092, -0.313246, 0.604887, 0.000000, 0.000000], [0.539022, -0.305709, 0.135711, 0.304718, 0.484651, 0.075733, -0.335892, -0.388950, 0.000000, 0.000000], [0.252523, 0.581994, 0.647119, -0.112095, -0.045646, -0.291771, -0.248436, 0.131347, 0.000000, 0.000000], [0.469957, -0.562112, 0.204046, -0.328075, -0.177979, -0.210370, 0.316441, 0.371261, 0.000000, 0.000000], [-0.144294, -0.285214, 0.193940, 0.606190, -0.482262, 0.058032, -0.394613, 0.317946, 0.000000, 0.000000], [-0.155066, -0.093710, 0.348736, -0.341985, 0.181784, 0.788005, -0.154086, 0.225527, 0.000000, 0.000000], [0.462620, 0.317867, -0.015803, 0.311945, -0.348310, 0.478029, 0.472653, -0.118958, 0.000000, 0.000000]]
fourier: [[11.615427, 12.575843, 13.670119, 16.243997, 80.101656], [21.171623, 22.011720, 22.530650, 29.852531, 105.242848], [31.421057, 31.457602, 31.620156, 45.680992, 116.253997], [21.250017, 22.160280, 24.136665, 27.769616, 55.055349], [31.215471, 31.657448, 36.430135, 43.461575, 104.981666], [10.616379, 10.629477, 10.636125, 10.919074, 12.470470], [9.743564, 10.374425, 10.616277, 14.450906, 85.095406], [24.654062, 25.908517, 30.698258, 35.910392, 120.097500]]
### 4
mean: [-1.676784, -1.518496, -1.318651, 0.830921, -1.522008, 1.486328, 2.416006, -1.929555]
std: [1.514872, 1.420930, 1.619408, 2.289497, 1.197412, 2.160936, 3.203656, 1.795097]
pca: [[-0.282485, -0.119906, 0.086341, 0.383257, 0.101484, -0.193946, 0.506466, 0.668627, 0.000000, 0.000000], [-0.255125, 0.232243, 0.035017, 0.094542, -0.323647, 0.853069, 0.194247, 0.024582, 0.000000, 0.000000], [-0.270791, 0.385877, -0.525919, -0.203859, 0.011335, -0.043765, -0.473087, 0.483494, 0.000000, 0.000000], [0.315538, 0.829119, 0.166071, -0.029491, 0.278586, -0.099051, 0.310335, -0.028628, 0.000000, 0.000000], [-0.206657, 0.222666, 0.676688, 0.248840, -0.342936, -0.202300, -0.473105, 0.074339, 0.000000, 0.000000], [0.401650, -0.192903, 0.288527, 0.015233, 0.519417, 0.422596, -0.341255, 0.391342, 0.000000, 0.000000], [0.604028, 0.034231, -0.332562, 0.574752, -0.415129, -0.017364, -0.096162, 0.105640, 0.000000, 0.000000], [-0.336663, 0.085927, -0.188139, 0.639730, 0.497476, 0.055837, -0.190028, -0.384594, 0.000000, 0.000000]]
fourier: [[22.736226, 23.483687, 24.049916, 35.228731, 150.910538], [20.928412, 21.961069, 24.894967, 29.688038, 136.664598], [22.346168, 24.707991, 28.640513, 31.679582, 118.678580], [35.050718, 37.674892, 43.604522, 50.646994, 74.782896], [16.732981, 17.837737, 21.212157, 23.396472, 136.980707], [33.393854, 33.875793, 36.700888, 47.580061, 133.769484], [48.855359, 50.833002, 51.501213, 72.535995, 217.440583], [27.934706, 28.362589, 29.721360, 40.301674, 173.659999]]
### 6
mean: [1.782792, 1.519033, 1.851163, -1.728705, -0.497543, -1.470470, -1.030644, -1.236222]
std: [2.798944, 2.279464, 2.844538, 2.031854, 0.402264, 1.741220, 0.968881, 1.129049]
pca: [[0.506771, 0.354941, -0.223834, -0.290803, -0.575511, 0.131382, 0.164767, 0.326971, 0.000000, 0.000000], [0.412626, 0.298652, -0.300058, 0.057751, 0.676121, 0.154765, 0.367907, -0.175297, 0.000000, 0.000000], [0.515083, -0.326583, 0.699453, 0.014953, 0.093179, -0.200247, 0.248392, 0.167617, 0.000000, 0.000000], [-0.366075, 0.454791, 0.304135, -0.638220, 0.189723, -0.286057, 0.192743, 0.066012, 0.000000, 0.000000], [-0.056876, 0.465469, 0.481393, 0.270169, 0.060474, 0.616681, -0.265300, 0.145035, 0.000000, 0.000000], [-0.313938, -0.372277, -0.133357, -0.102058, 0.156915, 0.410044, 0.396280, 0.620368, 0.000000, 0.000000], [-0.175725, -0.052895, 0.168302, 0.018391, -0.351084, 0.317660, 0.605225, -0.589232, 0.000000, 0.000000], [-0.202313, 0.336575, -0.016772, 0.648694, -0.124222, -0.433034, 0.380695, 0.277169, 0.000000, 0.000000]]
fourier: [[43.395758, 43.671880, 45.901501, 64.992957, 160.451292], [35.234985, 35.594452, 37.396800, 52.936978, 136.712972], [44.699648, 45.008289, 45.346397, 64.973510, 166.604688], [31.141449, 31.785433, 33.368786, 45.685345, 155.583412], [6.379209, 6.486303, 7.056025, 7.497458, 44.778883], [27.179757, 27.506288, 28.817227, 40.580006, 132.342282], [14.950731, 14.988731, 15.759336, 22.397510, 92.757991], [17.363628, 17.415934, 18.893743, 25.139312, 111.259997]]
### 8
mean: [-2.102066, -0.483211, -1.463207, -1.306232, 1.902882, -1.650358, -0.540439, 1.796273]
std: [2.738000, 0.716896, 2.125232, 1.633004, 2.861569, 1.956899, 0.464202, 2.931446]
pca: [[-0.456418, -0.014974, 0.271677, -0.169733, 0.708376, -0.269759, 0.177950, -0.287416, 0.000000, 0.000000], [-0.119385, -0.172837, 0.249016, -0.050245, -0.342518, 0.391923, 0.729685, -0.296611, 0.000000, 0.000000], [-0.354189, -0.248350, -0.212752, 0.483098, 0.033510, -0.213954, 0.362300, 0.596711, 0.000000, 0.000000], [-0.272215, 0.039896, -0.317394, 0.586101, 0.150674, 0.464618, -0.239632, -0.429019, 0.000000, 0.000000], [0.476931, -0.292913, 0.486519, 0.559614, 0.054407, -0.295761, -0.021605, -0.214403, 0.000000, 0.000000], [-0.325675, -0.606596, 0.388412, -0.149598, -0.094510, 0.298460, -0.460785, 0.205917, 0.000000, 0.000000], [-0.074897, 0.630296, 0.555823, 0.211253, 0.078716, 0.318187, -0.022355, 0.368255, 0.000000, 0.000000], [0.488612, -0.235805, -0.147228, -0.107672, 0.582213, 0.483926, 0.184172, 0.255558, 0.000000, 0.000000]]
fourier: [[42.306731, 43.008061, 43.788256, 63.297621, 189.185910], [11.193556, 11.221376, 11.542178, 16.642297, 43.489009], [32.990437, 33.281028, 34.153343, 49.224475, 131.688609], [25.193285, 25.627893, 26.122088, 37.720604, 117.560894], [43.998732, 44.963419, 45.635485, 65.990008, 171.259405], [30.554045, 30.639883, 31.593733, 45.465271, 148.532265], [6.860344, 7.270701, 7.941235, 10.230142, 48.639510], [45.125051, 46.097733, 46.740564, 67.647289, 161.664616]]
### 10
mean: [0.701659, -0.976854, 0.977603, -0.468681, -1.467872, 0.870363, -0.237081, 0.952991]
std: [1.263561, 1.153953, 1.572720, 0.335400, 1.800074, 1.424602, 0.744218, 1.523068]
pca: [[-0.341907, -0.372182, -0.406374, 0.496921, -0.492275, -0.151805, -0.052219, -0.253779, 0.000000, 0.000000], [0.312258, 0.102348, -0.181635, 0.313974, -0.235591, -0.083886, 0.296581, 0.780992, 0.000000, 0.000000], [-0.425571, 0.300032, -0.026363, -0.388659, -0.403523, 0.203952, 0.608440, -0.049922, 0.000000, 0.000000], [0.090706, -0.423091, 0.663931, -0.031997, -0.186108, -0.484492, 0.315957, -0.041710, 0.000000, 0.000000], [0.487079, 0.597114, 0.023495, 0.189224, -0.303154, -0.246507, 0.011478, -0.465888, 0.000000, 0.000000], [-0.385490, 0.284802, -0.026712, 0.402337, 0.583697, -0.373198, 0.353922, -0.049566, 0.000000, 0.000000], [0.201381, -0.157943, 0.246658, 0.466479, 0.108842, 0.688572, 0.351014, -0.216492, 0.000000, 0.000000], [-0.412133, 0.345509, 0.546135, 0.295171, -0.245446, 0.139345, -0.436671, 0.234602, 0.000000, 0.000000]]
fourier: [[19.340721, 19.703977, 19.972567, 29.123709, 63.149318], [17.685155, 18.035413, 18.269132, 26.606339, 87.916895], [24.143728, 24.656535, 24.952104, 36.276685, 87.984300], [5.180298, 5.320284, 5.361703, 7.744519, 42.181263], [27.546448, 28.058670, 28.444537, 41.487057, 132.108452], [21.871098, 22.336695, 22.603711, 32.860589, 78.332711], [11.426347, 11.670290, 11.809308, 17.166777, 21.337267], [23.386249, 23.887125, 24.170544, 35.133039, 85.769199]]
### 12
mean: [-0.100042]
std: [1.095547]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.427807, 16.869805, 17.137640, 17.281714, 25.374958]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
vowel_consonant
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [-0.817534, 0.462221, -0.228143, -1.997027, -3.060925, 0.518378, -0.761349, -4.262317]
std: [1.742427, 1.294025, 2.228631, 2.622605, 1.825220, 1.783602, 1.817498, 2.761573]
pca: [[0.324541, -0.025646, -0.392005, 0.376789, 0.656186, -0.323657, 0.234131, -0.090699, 0.000000, 0.000000], [0.049607, 0.412422, 0.035618, 0.331650, -0.445351, -0.071552, 0.703427, 0.133863, 0.000000, 0.000000], [0.010817, 0.731139, -0.084568, -0.518926, 0.342373, 0.232741, 0.079993, -0.105337, 0.000000, 0.000000], [0.571364, -0.052023, -0.369493, 0.104351, -0.166671, 0.641946, -0.129666, 0.258331, 0.000000, 0.000000], [0.350754, -0.000022, 0.421747, -0.225935, 0.169745, -0.284085, -0.000636, 0.733850, 0.000000, 0.000000], [-0.235445, 0.344211, 0.364598, 0.638493, 0.262109, 0.283538, -0.338163, 0.148426, 0.000000, 0.000000], [0.293250, 0.412846, -0.180577, 0.094145, -0.358277, -0.503325, -0.553200, -0.119839, 0.000000, 0.000000], [0.548799, -0.055278, 0.598311, 0.016809, 0.014391, 0.097101, 0.082309, -0.566653, 0.000000, 0.000000]]
fourier: [[28.468250, 29.012798, 29.342573, 29.918690, 73.578100], [20.727727, 23.642474, 24.954198, 28.199642, 41.599916], [29.734230, 30.208493, 31.830845, 40.713546, 50.293872], [42.724247, 42.897599, 43.037805, 45.063279, 179.732479], [27.838210, 28.748361, 33.958827, 36.020427, 275.483244], [31.754698, 32.068204, 32.109502, 32.390835, 46.654044], [29.065058, 30.662981, 31.833382, 36.270406, 68.521429], [43.008404, 43.400984, 53.214835, 56.132432, 383.608511]]
### 2
mean: [-0.890018, 1.169365, 1.291711, 0.611726, 1.166463, -0.138561, -0.945504, 1.334417]
std: [0.722374, 1.374478, 1.974803, 1.373842, 1.907383, 0.728370, 0.622514, 1.719405]
pca: [[-0.195075, 0.039519, 0.219952, 0.452918, 0.559898, -0.086079, 0.473640, 0.402045, 0.000000, 0.000000], [0.357617, 0.243158, -0.559756, -0.009174, 0.175858, 0.068092, -0.313246, 0.604887, 0.000000, 0.000000], [0.539022, -0.305709, 0.135711, 0.304718, 0.484651, 0.075733, -0.335892, -0.388950, 0.000000, 0.000000], [0.252523, 0.581994, 0.647119, -0.112095, -0.045646, -0.291771, -0.248436, 0.131347, 0.000000, 0.000000], [0.469957, -0.562112, 0.204046, -0.328075, -0.177979, -0.210370, 0.316441, 0.371261, 0.000000, 0.000000], [-0.144294, -0.285214, 0.193940, 0.606190, -0.482262, 0.058032, -0.394613, 0.317946, 0.000000, 0.000000], [-0.155066, -0.093710, 0.348736, -0.341985, 0.181784, 0.788005, -0.154086, 0.225527, 0.000000, 0.000000], [0.462620, 0.317867, -0.015803, 0.311945, -0.348310, 0.478029, 0.472653, -0.118958, 0.000000, 0.000000]]
fourier: [[11.615427, 12.575843, 13.670119, 16.243997, 80.101656], [21.171623, 22.011720, 22.530650, 29.852531, 105.242848], [31.421057, 31.457602, 31.620156, 45.680992, 116.253997], [21.250017, 22.160280, 24.136665, 27.769616, 55.055349], [31.215471, 31.657448, 36.430135, 43.461575, 104.981666], [10.616379, 10.629477, 10.636125, 10.919074, 12.470470], [9.743564, 10.374425, 10.616277, 14.450906, 85.095406], [24.654062, 25.908517, 30.698258, 35.910392, 120.097500]]
### 4
mean: [-1.676784, -1.518496, -1.318651, 0.830921, -1.522008, 1.486328, 2.416006, -1.929555]
std: [1.514872, 1.420930, 1.619408, 2.289497, 1.197412, 2.160936, 3.203656, 1.795097]
pca: [[-0.282485, -0.119906, 0.086341, 0.383257, 0.101484, -0.193946, 0.506466, 0.668627, 0.000000, 0.000000], [-0.255125, 0.232243, 0.035017, 0.094542, -0.323647, 0.853069, 0.194247, 0.024582, 0.000000, 0.000000], [-0.270791, 0.385877, -0.525919, -0.203859, 0.011335, -0.043765, -0.473087, 0.483494, 0.000000, 0.000000], [0.315538, 0.829119, 0.166071, -0.029491, 0.278586, -0.099051, 0.310335, -0.028628, 0.000000, 0.000000], [-0.206657, 0.222666, 0.676688, 0.248840, -0.342936, -0.202300, -0.473105, 0.074339, 0.000000, 0.000000], [0.401650, -0.192903, 0.288527, 0.015233, 0.519417, 0.422596, -0.341255, 0.391342, 0.000000, 0.000000], [0.604028, 0.034231, -0.332562, 0.574752, -0.415129, -0.017364, -0.096162, 0.105640, 0.000000, 0.000000], [-0.336663, 0.085927, -0.188139, 0.639730, 0.497476, 0.055837, -0.190028, -0.384594, 0.000000, 0.000000]]
fourier: [[22.736226, 23.483687, 24.049916, 35.228731, 150.910538], [20.928412, 21.961069, 24.894967, 29.688038, 136.664598], [22.346168, 24.707991, 28.640513, 31.679582, 118.678580], [35.050718, 37.674892, 43.604522, 50.646994, 74.782896], [16.732981, 17.837737, 21.212157, 23.396472, 136.980707], [33.393854, 33.875793, 36.700888, 47.580061, 133.769484], [48.855359, 50.833002, 51.501213, 72.535995, 217.440583], [27.934706, 28.362589, 29.721360, 40.301674, 173.659999]]
### 6
mean: [1.782792, 1.519033, 1.851163, -1.728705, -0.497543, -1.470470, -1.030644, -1.236222]
std: [2.798944, 2.279464, 2.844538, 2.031854, 0.402264, 1.741220, 0.968881, 1.129049]
pca: [[0.506771, 0.354941, -0.223834, -0.290803, -0.575511, 0.131382, 0.164767, 0.326971, 0.000000, 0.000000], [0.412626, 0.298652, -0.300058, 0.057751, 0.676121, 0.154765, 0.367907, -0.175297, 0.000000, 0.000000], [0.515083, -0.326583, 0.699453, 0.014953, 0.093179, -0.200247, 0.248392, 0.167617, 0.000000, 0.000000], [-0.366075, 0.454791, 0.304135, -0.638220, 0.189723, -0.286057, 0.192743, 0.066012, 0.000000, 0.000000], [-0.056876, 0.465469, 0.481393, 0.270169, 0.060474, 0.616681, -0.265300, 0.145035, 0.000000, 0.000000], [-0.313938, -0.372277, -0.133357, -0.102058, 0.156915, 0.410044, 0.396280, 0.620368, 0.000000, 0.000000], [-0.175725, -0.052895, 0.168302, 0.018391, -0.351084, 0.317660, 0.605225, -0.589232, 0.000000, 0.000000], [-0.202313, 0.336575, -0.016772, 0.648694, -0.124222, -0.433034, 0.380695, 0.277169, 0.000000, 0.000000]]
fourier: [[43.395758, 43.671880, 45.901501, 64.992957, 160.451292], [35.234985, 35.594452, 37.396800, 52.936978, 136.712972], [44.699648, 45.008289, 45.346397, 64.973510, 166.604688], [31.141449, 31.785433, 33.368786, 45.685345, 155.583412], [6.379209, 6.486303, 7.056025, 7.497458, 44.778883], [27.179757, 27.506288, 28.817227, 40.580006, 132.342282], [14.950731, 14.988731, 15.759336, 22.397510, 92.757991], [17.363628, 17.415934, 18.893743, 25.139312, 111.259997]]
### 8
mean: [-2.102066, -0.483211, -1.463207, -1.306232, 1.902882, -1.650358, -0.540439, 1.796273]
std: [2.738000, 0.716896, 2.125232, 1.633004, 2.861569, 1.956899, 0.464202, 2.931446]
pca: [[-0.456418, -0.014974, 0.271677, -0.169733, 0.708376, -0.269759, 0.177950, -0.287416, 0.000000, 0.000000], [-0.119385, -0.172837, 0.249016, -0.050245, -0.342518, 0.391923, 0.729685, -0.296611, 0.000000, 0.000000], [-0.354189, -0.248350, -0.212752, 0.483098, 0.033510, -0.213954, 0.362300, 0.596711, 0.000000, 0.000000], [-0.272215, 0.039896, -0.317394, 0.586101, 0.150674, 0.464618, -0.239632, -0.429019, 0.000000, 0.000000], [0.476931, -0.292913, 0.486519, 0.559614, 0.054407, -0.295761, -0.021605, -0.214403, 0.000000, 0.000000], [-0.325675, -0.606596, 0.388412, -0.149598, -0.094510, 0.298460, -0.460785, 0.205917, 0.000000, 0.000000], [-0.074897, 0.630296, 0.555823, 0.211253, 0.078716, 0.318187, -0.022355, 0.368255, 0.000000, 0.000000], [0.488612, -0.235805, -0.147228, -0.107672, 0.582213, 0.483926, 0.184172, 0.255558, 0.000000, 0.000000]]
fourier: [[42.306731, 43.008061, 43.788256, 63.297621, 189.185910], [11.193556, 11.221376, 11.542178, 16.642297, 43.489009], [32.990437, 33.281028, 34.153343, 49.224475, 131.688609], [25.193285, 25.627893, 26.122088, 37.720604, 117.560894], [43.998732, 44.963419, 45.635485, 65.990008, 171.259405], [30.554045, 30.639883, 31.593733, 45.465271, 148.532265], [6.860344, 7.270701, 7.941235, 10.230142, 48.639510], [45.125051, 46.097733, 46.740564, 67.647289, 161.664616]]
### 10
mean: [0.701659, -0.976854, 0.977603, -0.468681, -1.467872, 0.870363, -0.237081, 0.952991]
std: [1.263561, 1.153953, 1.572720, 0.335400, 1.800074, 1.424602, 0.744218, 1.523068]
pca: [[-0.341907, -0.372182, -0.406374, 0.496921, -0.492275, -0.151805, -0.052219, -0.253779, 0.000000, 0.000000], [0.312258, 0.102348, -0.181635, 0.313974, -0.235591, -0.083886, 0.296581, 0.780992, 0.000000, 0.000000], [-0.425571, 0.300032, -0.026363, -0.388659, -0.403523, 0.203952, 0.608440, -0.049922, 0.000000, 0.000000], [0.090706, -0.423091, 0.663931, -0.031997, -0.186108, -0.484492, 0.315957, -0.041710, 0.000000, 0.000000], [0.487079, 0.597114, 0.023495, 0.189224, -0.303154, -0.246507, 0.011478, -0.465888, 0.000000, 0.000000], [-0.385490, 0.284802, -0.026712, 0.402337, 0.583697, -0.373198, 0.353922, -0.049566, 0.000000, 0.000000], [0.201381, -0.157943, 0.246658, 0.466479, 0.108842, 0.688572, 0.351014, -0.216492, 0.000000, 0.000000], [-0.412133, 0.345509, 0.546135, 0.295171, -0.245446, 0.139345, -0.436671, 0.234602, 0.000000, 0.000000]]
fourier: [[19.340721, 19.703977, 19.972567, 29.123709, 63.149318], [17.685155, 18.035413, 18.269132, 26.606339, 87.916895], [24.143728, 24.656535, 24.952104, 36.276685, 87.984300], [5.180298, 5.320284, 5.361703, 7.744519, 42.181263], [27.546448, 28.058670, 28.444537, 41.487057, 132.108452], [21.871098, 22.336695, 22.603711, 32.860589, 78.332711], [11.426347, 11.670290, 11.809308, 17.166777, 21.337267], [23.386249, 23.887125, 24.170544, 35.133039, 85.769199]]
### 12
mean: [-0.100042]
std: [1.095547]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.427807, 16.869805, 17.137640, 17.281714, 25.374958]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
vowel_consonant
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6856473386287689, "train_acc": 0.53, "val_loss": 0.7713521718978882, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6808042824268341, "train_acc": 0.575, "val_loss": 0.7510767579078674, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6795841753482819, "train_acc": 0.575, "val_loss": 0.7395646572113037, "val_acc": 0.42}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.682086706161499, "train_acc": 0.575, "val_loss": 0.7328768968582153, "val_acc": 0.42}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.685592919588089, "train_acc": 0.575, "val_loss": 0.7311335206031799, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6797412633895874, "train_acc": 0.52, "val_loss": 0.7391451001167297, "val_acc": 0.42}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6334143877029419, "train_acc": 0.63, "val_loss": 0.6616628766059875, "val_acc": 0.6}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6062543988227844, "train_acc": 0.735, "val_loss": 0.9469221234321594, "val_acc": 0.52}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.6064248383045197, "train_acc": 0.725, "val_loss": 0.6730344891548157, "val_acc": 0.58}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.6115374565124512, "train_acc": 0.68, "val_loss": 0.6617350578308105, "val_acc": 0.62}], "summary": {"total_epochs": 10, "degraded_epochs": 5, "improved_epochs": 5, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.7713521718978882, "final_val_loss": 0.7311335206031799, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.7391451001167297, "final_val_loss": 0.6617350578308105, "initial_val_acc": 0.42, "final_val_acc": 0.62, "best_val_acc": 0.62, "best_epoch": 9}, "improvement": 0.2, "first_improvement_epoch": 4}}
|
193
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.46, "improved_accuracy": 0.92, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3837, "learning_rate": 0.05264364908037876, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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],
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[
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],
[
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],
[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
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],
[
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],
[
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],
[
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],
"network.2.bias": [
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],
"network.4.weight": [
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[
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],
[
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[
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[
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],
"network.4.bias": [
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],
"network.6.weight": [
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],
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[
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[
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],
"network.6.bias": [
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"network.8.weight": [
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[
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[
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[
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],
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"network.10.weight": [
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"network.12.weight": [
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [1.210241, 1.049618, 2.332132, 0.426725, 1.381316]
std: [1.415547, 1.314772, 2.095374, 1.819239, 2.105804]
pca: [[0.072539, 0.528936, 0.449052, -0.080311, 0.711946, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.415543, 0.075332, 0.287272, 0.839630, -0.184785, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.445273, -0.552585, 0.703607, 0.032694, 0.015804, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.361126, 0.626920, 0.282892, -0.110738, -0.619894, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.702412, -0.127172, 0.375149, -0.524633, -0.272889, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.910316, 26.876298, 28.067511, 32.440641, 108.921668], [19.143841, 20.004477, 22.078619, 23.103660, 94.465586], [34.891221, 35.427657, 35.750074, 36.025378, 209.891890], [30.373776, 31.997007, 33.844894, 38.405205, 39.258343], [33.128784, 33.908455, 34.771523, 34.826273, 124.318458]]
### 2
mean: [-1.431976, 2.242545, -0.077625, 1.010325, -0.350692]
std: [0.864242, 2.335421, 1.402214, 2.406414, 0.350721]
pca: [[0.183997, 0.084407, 0.623651, 0.315620, 0.685904, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.662680, -0.565113, -0.244051, 0.163730, 0.393870, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.160291, 0.702937, -0.522598, 0.373659, 0.259723, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.707960, -0.389401, -0.510721, 0.143910, 0.256153, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.009993, -0.166641, 0.132491, 0.844538, -0.491255, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.984020, 15.531748, 16.849039, 18.807516, 128.877875], [34.066715, 38.343032, 47.073643, 54.144692, 201.829111], [23.404600, 24.095094, 24.412661, 28.422823, 31.169504], [35.730059, 45.473024, 50.754158, 51.148428, 90.929278], [5.204290, 5.377186, 5.654018, 6.558018, 31.562245]]
### 4
mean: [1.430049, 0.264275, 0.562810, 0.226194, 1.041397]
std: [2.020197, 1.437815, 1.147311, 2.114678, 1.627578]
pca: [[-0.523876, 0.601885, -0.412880, 0.396802, 0.188060, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.375191, 0.397011, 0.182256, -0.281070, 0.767722, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.295611, -0.361909, 0.561474, 0.552961, 0.400772, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.561528, 0.420889, 0.273100, 0.554780, -0.353800, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.426715, 0.414719, 0.637555, -0.387300, -0.299073, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.004545, 34.114813, 41.295322, 46.470018, 128.704404], [23.784769, 25.985521, 27.716240, 28.418693, 32.391274], [20.070579, 21.178084, 22.875433, 25.898826, 50.652897], [32.237576, 37.911085, 41.185629, 42.583579, 47.061609], [25.334138, 27.921154, 33.202550, 36.902283, 93.725753]]
### 6
mean: [1.853201, 1.966382, 0.691617, 0.338926, -0.290085]
std: [3.051233, 3.074313, 2.224295, 2.114602, 3.132899]
pca: [[-0.495570, 0.423570, 0.204546, -0.058804, 0.727806, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.498345, 0.560979, -0.129174, 0.212988, -0.612295, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.359637, -0.501646, 0.093199, 0.776744, 0.083634, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.343127, -0.303346, 0.730883, -0.410639, -0.295686, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.508908, 0.402770, 0.631346, 0.423346, -0.031116, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.981903, 51.046670, 65.227697, 67.574347, 166.788092], [50.592920, 50.933754, 65.351106, 68.676350, 176.974406], [36.761490, 40.531404, 44.829731, 47.892964, 62.245525], [33.613140, 35.636031, 38.192549, 43.641964, 46.119863], [50.997126, 51.417719, 55.729848, 64.973934, 67.067068]]
### 8
mean: [2.022325, -1.332567, 2.432394, 3.673390, 3.754315]
std: [2.871828, 3.524191, 4.414799, 5.900932, 3.941185]
pca: [[0.303000, 0.151514, 0.158978, 0.633335, 0.677383, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.369285, 0.470044, 0.478099, -0.495255, 0.410890, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.465068, -0.344372, 0.779141, -0.102417, -0.218104, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.623347, -0.060167, -0.372924, -0.579746, 0.364199, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.408621, 0.796172, -0.003691, 0.083753, -0.438304, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[44.899838, 50.431063, 62.627839, 64.729827, 182.009282], [59.779817, 60.514122, 75.301119, 77.143398, 119.931062], [73.201040, 76.999617, 95.565678, 97.228829, 218.915473], [94.210319, 102.499460, 128.971746, 131.340890, 330.605122], [59.743451, 68.753705, 84.096088, 91.131607, 337.888371]]
### 10
mean: [-2.445607, 5.218733, -1.331509, -1.028219, 4.237734]
std: [4.724393, 6.423423, 3.507326, 1.495753, 6.009327]
pca: [[-0.442837, 0.224854, 0.193049, 0.644527, -0.548318, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.600838, 0.640764, -0.264426, -0.065580, -0.392674, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.325162, 0.721158, 0.116763, 0.000869, 0.600472, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.139816, 0.123381, 0.661049, -0.636146, -0.351512, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.563569, -0.059759, 0.664974, 0.419048, 0.247036, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[73.913014, 83.612817, 104.645739, 104.927410, 220.104648], [97.113792, 113.870335, 140.801591, 145.763914, 469.685961], [59.317386, 61.043587, 74.637929, 78.373388, 119.835785], [23.407019, 27.173834, 32.099266, 34.109815, 92.539733], [93.850380, 105.493592, 131.560902, 134.871546, 381.396063]]
### 12
mean: [-2.393444]
std: [4.742797]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[78.360694, 82.809275, 103.270111, 105.361877, 215.409980]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.2.weight": [
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[
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"network.6.weight": [
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[
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],
"network.6.bias": [
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"network.8.weight": [
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"network.10.weight": [
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"network.12.weight": [
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [1.210241, 1.049618, 2.332132, 0.426725, 1.381316]
std: [1.415547, 1.314772, 2.095374, 1.819239, 2.105804]
pca: [[0.072539, 0.528936, 0.449052, -0.080311, 0.711946, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.415543, 0.075332, 0.287272, 0.839630, -0.184785, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.445273, -0.552585, 0.703607, 0.032694, 0.015804, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.361126, 0.626920, 0.282892, -0.110738, -0.619894, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.702412, -0.127172, 0.375149, -0.524633, -0.272889, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.910316, 26.876298, 28.067511, 32.440641, 108.921668], [19.143841, 20.004477, 22.078619, 23.103660, 94.465586], [34.891221, 35.427657, 35.750074, 36.025378, 209.891890], [30.373776, 31.997007, 33.844894, 38.405205, 39.258343], [33.128784, 33.908455, 34.771523, 34.826273, 124.318458]]
### 2
mean: [-1.431976, 2.242545, -0.077625, 1.010325, -0.350692]
std: [0.864242, 2.335421, 1.402214, 2.406414, 0.350721]
pca: [[0.183997, 0.084407, 0.623651, 0.315620, 0.685904, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.662680, -0.565113, -0.244051, 0.163730, 0.393870, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.160291, 0.702937, -0.522598, 0.373659, 0.259723, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.707960, -0.389401, -0.510721, 0.143910, 0.256153, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.009993, -0.166641, 0.132491, 0.844538, -0.491255, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.984020, 15.531748, 16.849039, 18.807516, 128.877875], [34.066715, 38.343032, 47.073643, 54.144692, 201.829111], [23.404600, 24.095094, 24.412661, 28.422823, 31.169504], [35.730059, 45.473024, 50.754158, 51.148428, 90.929278], [5.204290, 5.377186, 5.654018, 6.558018, 31.562245]]
### 4
mean: [1.430049, 0.264275, 0.562810, 0.226194, 1.041397]
std: [2.020197, 1.437815, 1.147311, 2.114678, 1.627578]
pca: [[-0.523876, 0.601885, -0.412880, 0.396802, 0.188060, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.375191, 0.397011, 0.182256, -0.281070, 0.767722, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.295611, -0.361909, 0.561474, 0.552961, 0.400772, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.561528, 0.420889, 0.273100, 0.554780, -0.353800, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.426715, 0.414719, 0.637555, -0.387300, -0.299073, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.004545, 34.114813, 41.295322, 46.470018, 128.704404], [23.784769, 25.985521, 27.716240, 28.418693, 32.391274], [20.070579, 21.178084, 22.875433, 25.898826, 50.652897], [32.237576, 37.911085, 41.185629, 42.583579, 47.061609], [25.334138, 27.921154, 33.202550, 36.902283, 93.725753]]
### 6
mean: [1.853201, 1.966382, 0.691617, 0.338926, -0.290085]
std: [3.051233, 3.074313, 2.224295, 2.114602, 3.132899]
pca: [[-0.495570, 0.423570, 0.204546, -0.058804, 0.727806, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.498345, 0.560979, -0.129174, 0.212988, -0.612295, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.359637, -0.501646, 0.093199, 0.776744, 0.083634, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.343127, -0.303346, 0.730883, -0.410639, -0.295686, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.508908, 0.402770, 0.631346, 0.423346, -0.031116, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.981903, 51.046670, 65.227697, 67.574347, 166.788092], [50.592920, 50.933754, 65.351106, 68.676350, 176.974406], [36.761490, 40.531404, 44.829731, 47.892964, 62.245525], [33.613140, 35.636031, 38.192549, 43.641964, 46.119863], [50.997126, 51.417719, 55.729848, 64.973934, 67.067068]]
### 8
mean: [2.022325, -1.332567, 2.432394, 3.673390, 3.754315]
std: [2.871828, 3.524191, 4.414799, 5.900932, 3.941185]
pca: [[0.303000, 0.151514, 0.158978, 0.633335, 0.677383, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.369285, 0.470044, 0.478099, -0.495255, 0.410890, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.465068, -0.344372, 0.779141, -0.102417, -0.218104, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.623347, -0.060167, -0.372924, -0.579746, 0.364199, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.408621, 0.796172, -0.003691, 0.083753, -0.438304, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[44.899838, 50.431063, 62.627839, 64.729827, 182.009282], [59.779817, 60.514122, 75.301119, 77.143398, 119.931062], [73.201040, 76.999617, 95.565678, 97.228829, 218.915473], [94.210319, 102.499460, 128.971746, 131.340890, 330.605122], [59.743451, 68.753705, 84.096088, 91.131607, 337.888371]]
### 10
mean: [-2.445607, 5.218733, -1.331509, -1.028219, 4.237734]
std: [4.724393, 6.423423, 3.507326, 1.495753, 6.009327]
pca: [[-0.442837, 0.224854, 0.193049, 0.644527, -0.548318, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.600838, 0.640764, -0.264426, -0.065580, -0.392674, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.325162, 0.721158, 0.116763, 0.000869, 0.600472, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.139816, 0.123381, 0.661049, -0.636146, -0.351512, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.563569, -0.059759, 0.664974, 0.419048, 0.247036, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[73.913014, 83.612817, 104.645739, 104.927410, 220.104648], [97.113792, 113.870335, 140.801591, 145.763914, 469.685961], [59.317386, 61.043587, 74.637929, 78.373388, 119.835785], [23.407019, 27.173834, 32.099266, 34.109815, 92.539733], [93.850380, 105.493592, 131.560902, 134.871546, 381.396063]]
### 12
mean: [-2.393444]
std: [4.742797]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[78.360694, 82.809275, 103.270111, 105.361877, 215.409980]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.418279, -0.070291, 0.039893, -0.008461, 0.532477], [-0.189014, -0.203021, -0.022267, 0.283869, 0.56276], [-0.150826, 0.534254, 0.606215, 0.304198, -0.722935], [0.870413, 0.032295, -0.021628, -0.139271, 0.036137], [-0.744568, 0.051732, 0.024257, 0.152194, 0.913334]], "network.0.bias": [0.095893, 0.398486, 0.519266, -0.416036, 0.710135], "network.2.weight": [[0.031235, -0.126239, -0.189297, -0.466554, -0.371371], [0.385186, 0.53022, -0.109366, 0.433988, 0.759736], [0.204897, 0.004033, -0.044002, 0.59348, -0.347103], [-0.544655, 0.209358, 0.762053, -0.652048, -0.324308], [0.398275, -0.077744, 0.032374, -0.459886, -0.067342]], "network.2.bias": [0.056859, -0.039947, -0.09799, 0.603933, -0.361108], "network.4.weight": [[-0.033835, 0.779983, -0.017499, -0.172168, -0.052842], [-0.152957, -0.25848, -0.435372, 0.425679, -0.183774], [-0.541346, 0.19317, 0.316492, -0.389854, -0.3503], [-0.493014, -0.4399, -0.549545, 0.58075, -0.430805], [-0.41933, 0.608574, -0.063254, -0.224242, -0.675514]], "network.4.bias": [-0.004561, 0.330682, 0.517388, 0.444296, -0.01799], "network.6.weight": [[0.63184, -0.09835, 0.710384, -0.482693, 0.495884], [0.530257, -0.103249, 0.634487, -0.426984, 0.714111], [-0.083941, -0.622279, 0.491513, -0.391256, 0.774147], [0.39371, -0.029308, 0.629193, -0.655229, 0.130828], [-0.423911, 0.577734, -0.466863, 0.682813, -0.595572]], "network.6.bias": [0.439237, 0.465169, 0.424555, -0.158212, 0.249067], "network.8.weight": [[0.509892, 0.173753, 0.335194, 0.198665, -0.123352], [-0.213285, -0.463691, -0.341531, -0.220781, 0.697388], [0.652803, 0.003496, 0.797283, 0.402316, -0.684258], [0.745232, 0.620506, 0.466296, 0.500579, -0.574528], [0.394018, 0.723294, 0.250826, 0.432933, 0.313758]], "network.8.bias": [0.08266, -0.007095, 0.420935, 0.299642, 0.235578], "network.10.weight": [[0.474296, 0.50329, -0.631276, -0.585294, -0.022108], [0.220593, -0.012723, 0.32545, 0.558336, 0.375467], [-0.020631, 0.614174, -0.542432, -0.553206, 0.531935], [-0.11976, 0.029052, -0.621117, -0.015941, 0.342586], [0.34283, -0.644266, 0.25342, 0.307511, 0.497139]], "network.10.bias": [0.620244, 0.053127, 0.249631, -0.111235, 0.132745], "network.12.weight": [[0.525364, -0.330972, 0.650893, -0.065324, -0.322112]], "network.12.bias": [-0.089881]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6795870959758759, "train_acc": 0.59, "val_loss": 0.7198115587234497, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6644735932350159, "train_acc": 0.59, "val_loss": 0.618519127368927, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5501500219106674, "train_acc": 0.64, "val_loss": 0.33200305700302124, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.37158843874931335, "train_acc": 0.885, "val_loss": 1.2311723232269287, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.48320823907852173, "train_acc": 0.8, "val_loss": 0.24333655834197998, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3730206936597824, "train_acc": 0.875, "val_loss": 0.23160511255264282, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3563894033432007, "train_acc": 0.85, "val_loss": 0.28168559074401855, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.34427495300769806, "train_acc": 0.88, "val_loss": 0.3153960108757019, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3343408405780792, "train_acc": 0.89, "val_loss": 0.3024202585220337, "val_acc": 0.92}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.7198115587234497, "final_val_loss": 0.618519127368927, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.33200305700302124, "final_val_loss": 0.3024202585220337, "initial_val_acc": 0.86, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 4}, "improvement": 0.46, "first_improvement_epoch": 1}}
|
194
|
{"target_pattern": "alternating", "degraded_accuracy": 0.48, "improved_accuracy": 0.84, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8297, "learning_rate": 0.07745571578828822, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.016661,
0.009233,
-0.688086,
-0.032402,
-0.01366,
-0.659915
]
],
"network.6.bias": [
-0.109924,
-0.182532,
-0.050237,
-0.352869,
-0.565315,
-0.039048
],
"network.8.weight": [
[
-0.329329,
0.146681,
-0.298696,
-0.20994,
-0.099922,
-0.227942
],
[
-0.761628,
0.70636,
0.055885,
0.696413,
0.191318,
-0.186118
],
[
-0.032851,
-0.272868,
0.012984,
-0.387592,
-0.056785,
-0.097265
],
[
-0.352724,
0.004854,
0.098913,
-0.492637,
0.201986,
0.204371
],
[
0.163619,
-0.40254,
-0.088239,
-0.072865,
-0.238525,
-0.316302
],
[
0.102813,
0.952185,
0.491431,
0.262166,
0.244156,
0.549166
]
],
"network.8.bias": [
-0.544599,
-0.228972,
-0.426649,
-0.332349,
-0.117971,
-0.248748
],
"network.10.weight": [
[
0.058039,
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0.196013,
0.337251,
0.351632,
-0.545944
],
[
-0.071025,
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-0.23499,
-0.168497,
0.195268,
0.146329
],
[
0.078258,
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-0.241083,
-0.202319,
0.166636
],
[
0.121469,
1.007895,
0.009272,
0.076507,
0.405012,
0.46664
],
[
0.17566,
0.900231,
-0.162528,
0.408105,
0.15251,
0.598217
],
[
0.098313,
0.630317,
0.095095,
0.014069,
0.279525,
0.654492
]
],
"network.10.bias": [
-0.925282,
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-0.143426,
-0.408145,
-0.20982,
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],
"network.12.weight": [
[
-0.376294,
0.345875,
-0.04494,
-0.324929,
-0.608025,
-0.52403
]
],
"network.12.bias": [
1.235258
]
}
## Activation Signature
### 0
mean: [-3.826877, -3.996778, -3.838448, -0.654865, -0.097923, 1.690210]
std: [2.151404, 6.177950, 2.466519, 2.847628, 2.341393, 1.679702]
pca: [[0.116074, 0.402734, 0.377145, 0.530544, -0.552359, 0.309057, 0.000000, 0.000000, 0.000000, 0.000000], [0.977158, -0.001088, -0.177232, -0.061525, -0.029003, -0.095519, 0.000000, 0.000000, 0.000000, 0.000000], [0.129809, 0.408064, 0.569709, -0.113120, 0.679439, 0.132785, 0.000000, 0.000000, 0.000000, 0.000000], [-0.097603, 0.586488, -0.471460, 0.406848, 0.219165, -0.458990, 0.000000, 0.000000, 0.000000, 0.000000], [-0.054346, 0.468460, -0.438115, -0.478071, -0.098396, 0.589418, 0.000000, 0.000000, 0.000000, 0.000000], [0.048570, -0.328428, -0.295912, 0.554855, 0.417978, 0.565370, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.820634, 32.825268, 38.818466, 42.726883, 344.418938], [103.413915, 103.972516, 105.187361, 105.266744, 359.710020], [39.876198, 41.110816, 43.318349, 50.936483, 345.460271], [41.562593, 41.957429, 42.533406, 51.119291, 58.937887], [33.002158, 33.523496, 34.457865, 35.085159, 41.765762], [30.491937, 31.105744, 31.464101, 34.279069, 152.118870]]
### 2
mean: [-0.241567, 1.728796, 0.095412, -2.984904, -0.925001, 0.974041]
std: [1.270393, 2.559647, 2.187807, 2.483087, 0.930126, 2.547819]
pca: [[-0.102068, 0.401903, 0.681022, -0.137568, 0.438867, -0.390815, 0.000000, 0.000000, 0.000000, 0.000000], [0.577187, -0.010554, 0.482054, -0.283659, -0.191478, 0.563242, 0.000000, 0.000000, 0.000000, 0.000000], [0.486556, 0.111500, -0.478289, -0.275430, 0.667987, 0.001209, 0.000000, 0.000000, 0.000000, 0.000000], [-0.394918, 0.692348, -0.233417, -0.386087, -0.154906, 0.370338, 0.000000, 0.000000, 0.000000, 0.000000], [-0.207851, 0.045094, 0.103482, 0.611017, 0.468831, 0.592378, 0.000000, 0.000000, 0.000000, 0.000000], [-0.469615, -0.586984, 0.099403, -0.549860, 0.284123, 0.204837, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.952601, 19.486331, 20.084642, 21.434483, 21.741060], [34.779701, 40.250599, 44.206540, 44.308845, 155.591679], [26.806095, 28.002626, 29.891624, 42.290586, 50.771533], [36.738680, 37.933447, 40.879899, 46.792511, 268.641424], [12.832422, 13.285759, 17.649025, 20.565841, 83.250119], [38.357884, 40.093342, 42.067439, 43.142739, 87.663700]]
### 4
mean: [-0.556772, 0.076827, 0.057010, 0.757459, 0.591929, 0.588958]
std: [0.431060, 4.334682, 4.427937, 2.083299, 2.755439, 3.460602]
pca: [[0.043204, -0.400600, 0.461741, 0.694191, -0.367860, -0.085011, 0.000000, 0.000000, 0.000000, 0.000000], [0.549935, 0.162483, -0.034157, -0.247561, -0.480319, -0.614827, 0.000000, 0.000000, 0.000000, 0.000000], [0.561863, 0.003506, 0.009973, 0.324633, 0.733761, -0.201014, 0.000000, 0.000000, 0.000000, 0.000000], [-0.261313, 0.487596, -0.548183, 0.576789, -0.110360, -0.220447, 0.000000, 0.000000, 0.000000, 0.000000], [-0.346726, 0.530396, 0.670467, -0.058686, 0.189062, -0.331280, 0.000000, 0.000000, 0.000000, 0.000000], [0.437621, 0.542252, 0.188412, 0.123680, -0.218274, 0.644990, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.777345, 7.466142, 7.749355, 7.929235, 50.109445], [54.487356, 54.730591, 55.634827, 78.301523, 80.615678], [55.688312, 55.940216, 57.859172, 79.806069, 83.648047], [28.091143, 29.126486, 36.697859, 40.433190, 68.171283], [35.154500, 38.063856, 52.997118, 53.273596, 57.774297], [45.037351, 45.514905, 53.006184, 60.428217, 60.482749]]
### 6
mean: [-2.629324, 2.494880, -3.563851, 1.259435, -2.877406, -2.141797]
std: [2.708715, 5.998992, 3.155491, 4.360183, 2.084707, 2.929132]
pca: [[-0.284906, 0.347777, -0.455334, -0.508458, 0.574120, 0.049067, 0.000000, 0.000000, 0.000000, 0.000000], [0.684093, 0.312587, 0.137340, 0.171520, 0.447768, -0.430730, 0.000000, 0.000000, 0.000000, 0.000000], [-0.265499, 0.668613, 0.182109, -0.146146, -0.484176, -0.439907, 0.000000, 0.000000, 0.000000, 0.000000], [0.489873, 0.321210, 0.145256, -0.394687, -0.241322, 0.649411, 0.000000, 0.000000, 0.000000, 0.000000], [-0.161475, 0.477986, -0.199675, 0.730739, 0.084467, 0.405551, 0.000000, 0.000000, 0.000000, 0.000000], [-0.338091, 0.051488, 0.824424, -0.030590, 0.412423, 0.179830, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.463466, 41.788984, 43.365209, 53.214649, 236.639182], [93.216361, 94.040429, 105.112364, 112.667281, 224.539229], [46.991834, 54.492391, 57.567281, 64.401677, 320.746601], [65.293779, 67.062597, 78.155200, 82.485227, 113.349158], [29.978106, 35.664222, 40.078927, 42.266319, 258.966545], [43.872390, 48.363692, 50.580169, 50.706109, 192.761676]]
### 8
mean: [-0.511426, 3.688324, -2.200839, -1.400122, -1.637308, 3.542799]
std: [0.034422, 6.210467, 2.821726, 1.730567, 2.384460, 5.960348]
pca: [[0.002726, 0.395512, -0.226875, 0.732009, -0.441397, -0.247834, 0.000000, 0.000000, 0.000000, 0.000000], [0.651978, -0.276272, 0.422946, 0.393732, 0.326994, -0.240346, 0.000000, 0.000000, 0.000000, 0.000000], [-0.296223, 0.255458, -0.281867, 0.273057, 0.832348, -0.013466, 0.000000, 0.000000, 0.000000, 0.000000], [-0.181637, 0.631069, 0.744314, -0.108330, 0.028508, -0.046998, 0.000000, 0.000000, 0.000000, 0.000000], [-0.250318, -0.257577, 0.273641, 0.452460, -0.053387, 0.767167, 0.000000, 0.000000, 0.000000, 0.000000], [0.625715, 0.487228, -0.247615, -0.134617, 0.042168, 0.538402, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[0.445884, 0.489858, 0.494792, 0.522906, 46.028320], [100.627575, 100.757528, 107.698608, 109.911784, 331.949177], [45.689790, 45.826389, 48.934678, 49.958675, 198.075505], [27.909237, 28.270443, 30.013920, 30.708441, 126.011001], [38.554167, 38.716379, 41.343063, 42.142611, 147.357728], [96.426784, 96.744951, 103.347131, 105.366322, 318.851895]]
### 10
mean: [-3.669112, -0.924138, -0.969103, 5.138779, 5.410241, 4.433707]
std: [4.405446, 1.348873, 1.338331, 8.930312, 9.043279, 7.717577]
pca: [[-0.281965, 0.572380, 0.628820, 0.410307, 0.090967, 0.144343, 0.000000, 0.000000, 0.000000, 0.000000], [-0.086332, -0.510759, 0.137053, 0.241745, 0.806423, 0.064270, 0.000000, 0.000000, 0.000000, 0.000000], [-0.085657, -0.547758, 0.462082, -0.085522, -0.450330, 0.518645, 0.000000, 0.000000, 0.000000, 0.000000], [0.571575, 0.206741, -0.273771, 0.257080, 0.106483, 0.691506, 0.000000, 0.000000, 0.000000, 0.000000], [0.578805, 0.117448, 0.516618, -0.560529, 0.227393, -0.135631, 0.000000, 0.000000, 0.000000, 0.000000], [0.493955, -0.234374, 0.174463, 0.620975, -0.274891, -0.457674, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[71.146070, 71.715355, 76.474471, 78.125263, 330.220054], [21.742512, 22.018091, 23.409150, 23.947692, 83.172392], [21.569730, 21.850082, 23.225744, 23.762347, 87.219306], [144.137438, 145.498252, 155.010562, 158.424410, 462.490137], [145.977145, 147.314565, 156.973700, 160.417472, 486.921708], [124.596361, 125.691205, 133.964710, 136.888452, 399.033650]]
### 12
mean: [-6.278424]
std: [12.302171]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[197.660195, 201.262683, 213.622465, 218.872998, 565.058127]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.362072,
-0.436032,
-0.526758,
-0.36973,
-0.094202
],
[
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0.87977,
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0.316726
],
[
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-0.225758
],
[
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-0.863841,
-0.046843,
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0.481159
],
[
-0.705796,
-0.532716,
0.01496,
0.390157,
0.696397
],
[
0.653491,
-0.199356,
0.462786,
0.227558,
-0.177367
]
],
"network.0.bias": [
-0.572362,
0.0149,
-0.310325,
-0.197311,
0.024318,
0.004306
],
"network.2.weight": [
[
-0.253227,
-0.375246,
0.067807,
-0.193597,
-0.603194,
0.299561
],
[
0.396737,
-0.664061,
0.012044,
0.877673,
0.701029,
0.731001
],
[
0.411981,
-0.609793,
-0.009272,
0.410003,
0.826027,
0.154378
],
[
-0.228906,
-0.289744,
0.545904,
-1.126699,
-0.768656,
-0.390232
],
[
-0.66528,
0.184971,
-0.243271,
-0.048646,
-0.593219,
-0.151471
],
[
-0.396322,
1.102551,
0.508063,
-0.607432,
0.021923,
-0.295836
]
],
"network.2.bias": [
0.124779,
-0.167441,
-0.604643,
-0.699495,
-0.331408,
1.042644
],
"network.4.weight": [
[
-0.31526,
-0.002917,
-0.029739,
-0.155101,
0.116877,
-0.204422
],
[
0.461289,
0.554023,
0.780453,
-0.288196,
0.164176,
-1.253179
],
[
0.245092,
0.600664,
0.724708,
-0.250101,
-0.523416,
-1.254335
],
[
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-0.081403,
-0.458082,
0.444352,
0.595267,
0.679908
],
[
-0.095208,
-0.052596,
-0.96566,
0.615544,
0.101693,
0.81609
],
[
0.401074,
0.660336,
0.313034,
-0.528299,
0.261964,
-0.960701
]
],
"network.4.bias": [
-0.178746,
-0.170789,
-0.144473,
0.404012,
0.407681,
0.124232
],
"network.6.weight": [
[
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],
[
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1.144966,
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0.37923
],
[
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[
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0.250271
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[
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],
[
0.016661,
0.009233,
-0.688086,
-0.032402,
-0.01366,
-0.659915
]
],
"network.6.bias": [
-0.109924,
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-0.050237,
-0.352869,
-0.565315,
-0.039048
],
"network.8.weight": [
[
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-0.298696,
-0.20994,
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-0.227942
],
[
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[
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[
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0.204371
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[
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],
[
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0.549166
]
],
"network.8.bias": [
-0.544599,
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-0.426649,
-0.332349,
-0.117971,
-0.248748
],
"network.10.weight": [
[
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0.196013,
0.337251,
0.351632,
-0.545944
],
[
-0.071025,
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-0.168497,
0.195268,
0.146329
],
[
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-0.241083,
-0.202319,
0.166636
],
[
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1.007895,
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0.076507,
0.405012,
0.46664
],
[
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-0.162528,
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0.15251,
0.598217
],
[
0.098313,
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0.095095,
0.014069,
0.279525,
0.654492
]
],
"network.10.bias": [
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-0.091443,
-0.143426,
-0.408145,
-0.20982,
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],
"network.12.weight": [
[
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-0.04494,
-0.324929,
-0.608025,
-0.52403
]
],
"network.12.bias": [
1.235258
]
}
## Activation Signature
### 0
mean: [-3.826877, -3.996778, -3.838448, -0.654865, -0.097923, 1.690210]
std: [2.151404, 6.177950, 2.466519, 2.847628, 2.341393, 1.679702]
pca: [[0.116074, 0.402734, 0.377145, 0.530544, -0.552359, 0.309057, 0.000000, 0.000000, 0.000000, 0.000000], [0.977158, -0.001088, -0.177232, -0.061525, -0.029003, -0.095519, 0.000000, 0.000000, 0.000000, 0.000000], [0.129809, 0.408064, 0.569709, -0.113120, 0.679439, 0.132785, 0.000000, 0.000000, 0.000000, 0.000000], [-0.097603, 0.586488, -0.471460, 0.406848, 0.219165, -0.458990, 0.000000, 0.000000, 0.000000, 0.000000], [-0.054346, 0.468460, -0.438115, -0.478071, -0.098396, 0.589418, 0.000000, 0.000000, 0.000000, 0.000000], [0.048570, -0.328428, -0.295912, 0.554855, 0.417978, 0.565370, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.820634, 32.825268, 38.818466, 42.726883, 344.418938], [103.413915, 103.972516, 105.187361, 105.266744, 359.710020], [39.876198, 41.110816, 43.318349, 50.936483, 345.460271], [41.562593, 41.957429, 42.533406, 51.119291, 58.937887], [33.002158, 33.523496, 34.457865, 35.085159, 41.765762], [30.491937, 31.105744, 31.464101, 34.279069, 152.118870]]
### 2
mean: [-0.241567, 1.728796, 0.095412, -2.984904, -0.925001, 0.974041]
std: [1.270393, 2.559647, 2.187807, 2.483087, 0.930126, 2.547819]
pca: [[-0.102068, 0.401903, 0.681022, -0.137568, 0.438867, -0.390815, 0.000000, 0.000000, 0.000000, 0.000000], [0.577187, -0.010554, 0.482054, -0.283659, -0.191478, 0.563242, 0.000000, 0.000000, 0.000000, 0.000000], [0.486556, 0.111500, -0.478289, -0.275430, 0.667987, 0.001209, 0.000000, 0.000000, 0.000000, 0.000000], [-0.394918, 0.692348, -0.233417, -0.386087, -0.154906, 0.370338, 0.000000, 0.000000, 0.000000, 0.000000], [-0.207851, 0.045094, 0.103482, 0.611017, 0.468831, 0.592378, 0.000000, 0.000000, 0.000000, 0.000000], [-0.469615, -0.586984, 0.099403, -0.549860, 0.284123, 0.204837, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.952601, 19.486331, 20.084642, 21.434483, 21.741060], [34.779701, 40.250599, 44.206540, 44.308845, 155.591679], [26.806095, 28.002626, 29.891624, 42.290586, 50.771533], [36.738680, 37.933447, 40.879899, 46.792511, 268.641424], [12.832422, 13.285759, 17.649025, 20.565841, 83.250119], [38.357884, 40.093342, 42.067439, 43.142739, 87.663700]]
### 4
mean: [-0.556772, 0.076827, 0.057010, 0.757459, 0.591929, 0.588958]
std: [0.431060, 4.334682, 4.427937, 2.083299, 2.755439, 3.460602]
pca: [[0.043204, -0.400600, 0.461741, 0.694191, -0.367860, -0.085011, 0.000000, 0.000000, 0.000000, 0.000000], [0.549935, 0.162483, -0.034157, -0.247561, -0.480319, -0.614827, 0.000000, 0.000000, 0.000000, 0.000000], [0.561863, 0.003506, 0.009973, 0.324633, 0.733761, -0.201014, 0.000000, 0.000000, 0.000000, 0.000000], [-0.261313, 0.487596, -0.548183, 0.576789, -0.110360, -0.220447, 0.000000, 0.000000, 0.000000, 0.000000], [-0.346726, 0.530396, 0.670467, -0.058686, 0.189062, -0.331280, 0.000000, 0.000000, 0.000000, 0.000000], [0.437621, 0.542252, 0.188412, 0.123680, -0.218274, 0.644990, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.777345, 7.466142, 7.749355, 7.929235, 50.109445], [54.487356, 54.730591, 55.634827, 78.301523, 80.615678], [55.688312, 55.940216, 57.859172, 79.806069, 83.648047], [28.091143, 29.126486, 36.697859, 40.433190, 68.171283], [35.154500, 38.063856, 52.997118, 53.273596, 57.774297], [45.037351, 45.514905, 53.006184, 60.428217, 60.482749]]
### 6
mean: [-2.629324, 2.494880, -3.563851, 1.259435, -2.877406, -2.141797]
std: [2.708715, 5.998992, 3.155491, 4.360183, 2.084707, 2.929132]
pca: [[-0.284906, 0.347777, -0.455334, -0.508458, 0.574120, 0.049067, 0.000000, 0.000000, 0.000000, 0.000000], [0.684093, 0.312587, 0.137340, 0.171520, 0.447768, -0.430730, 0.000000, 0.000000, 0.000000, 0.000000], [-0.265499, 0.668613, 0.182109, -0.146146, -0.484176, -0.439907, 0.000000, 0.000000, 0.000000, 0.000000], [0.489873, 0.321210, 0.145256, -0.394687, -0.241322, 0.649411, 0.000000, 0.000000, 0.000000, 0.000000], [-0.161475, 0.477986, -0.199675, 0.730739, 0.084467, 0.405551, 0.000000, 0.000000, 0.000000, 0.000000], [-0.338091, 0.051488, 0.824424, -0.030590, 0.412423, 0.179830, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.463466, 41.788984, 43.365209, 53.214649, 236.639182], [93.216361, 94.040429, 105.112364, 112.667281, 224.539229], [46.991834, 54.492391, 57.567281, 64.401677, 320.746601], [65.293779, 67.062597, 78.155200, 82.485227, 113.349158], [29.978106, 35.664222, 40.078927, 42.266319, 258.966545], [43.872390, 48.363692, 50.580169, 50.706109, 192.761676]]
### 8
mean: [-0.511426, 3.688324, -2.200839, -1.400122, -1.637308, 3.542799]
std: [0.034422, 6.210467, 2.821726, 1.730567, 2.384460, 5.960348]
pca: [[0.002726, 0.395512, -0.226875, 0.732009, -0.441397, -0.247834, 0.000000, 0.000000, 0.000000, 0.000000], [0.651978, -0.276272, 0.422946, 0.393732, 0.326994, -0.240346, 0.000000, 0.000000, 0.000000, 0.000000], [-0.296223, 0.255458, -0.281867, 0.273057, 0.832348, -0.013466, 0.000000, 0.000000, 0.000000, 0.000000], [-0.181637, 0.631069, 0.744314, -0.108330, 0.028508, -0.046998, 0.000000, 0.000000, 0.000000, 0.000000], [-0.250318, -0.257577, 0.273641, 0.452460, -0.053387, 0.767167, 0.000000, 0.000000, 0.000000, 0.000000], [0.625715, 0.487228, -0.247615, -0.134617, 0.042168, 0.538402, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[0.445884, 0.489858, 0.494792, 0.522906, 46.028320], [100.627575, 100.757528, 107.698608, 109.911784, 331.949177], [45.689790, 45.826389, 48.934678, 49.958675, 198.075505], [27.909237, 28.270443, 30.013920, 30.708441, 126.011001], [38.554167, 38.716379, 41.343063, 42.142611, 147.357728], [96.426784, 96.744951, 103.347131, 105.366322, 318.851895]]
### 10
mean: [-3.669112, -0.924138, -0.969103, 5.138779, 5.410241, 4.433707]
std: [4.405446, 1.348873, 1.338331, 8.930312, 9.043279, 7.717577]
pca: [[-0.281965, 0.572380, 0.628820, 0.410307, 0.090967, 0.144343, 0.000000, 0.000000, 0.000000, 0.000000], [-0.086332, -0.510759, 0.137053, 0.241745, 0.806423, 0.064270, 0.000000, 0.000000, 0.000000, 0.000000], [-0.085657, -0.547758, 0.462082, -0.085522, -0.450330, 0.518645, 0.000000, 0.000000, 0.000000, 0.000000], [0.571575, 0.206741, -0.273771, 0.257080, 0.106483, 0.691506, 0.000000, 0.000000, 0.000000, 0.000000], [0.578805, 0.117448, 0.516618, -0.560529, 0.227393, -0.135631, 0.000000, 0.000000, 0.000000, 0.000000], [0.493955, -0.234374, 0.174463, 0.620975, -0.274891, -0.457674, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[71.146070, 71.715355, 76.474471, 78.125263, 330.220054], [21.742512, 22.018091, 23.409150, 23.947692, 83.172392], [21.569730, 21.850082, 23.225744, 23.762347, 87.219306], [144.137438, 145.498252, 155.010562, 158.424410, 462.490137], [145.977145, 147.314565, 156.973700, 160.417472, 486.921708], [124.596361, 125.691205, 133.964710, 136.888452, 399.033650]]
### 12
mean: [-6.278424]
std: [12.302171]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[197.660195, 201.262683, 213.622465, 218.872998, 565.058127]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
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"fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.362072, -0.436032, -0.526758, -0.36973, -0.094202], [0.918219, -1.90666, 0.87977, -1.822552, 0.316726], [-0.701953, -0.12919, -0.339882, -0.667193, -0.225758], [-0.739366, -0.863841, -0.046843, 0.718636, 0.481159], [-0.705796, -0.532716, 0.01496, 0.390157, 0.696397], [0.653491, -0.199356, 0.462786, 0.227558, -0.177367]], "network.0.bias": [-0.572362, 0.0149, -0.310325, -0.197311, 0.024318, 0.004306], "network.2.weight": [[-0.253227, -0.375246, 0.067807, -0.193597, -0.603194, 0.299561], [0.396737, -0.664061, 0.012044, 0.877673, 0.701029, 0.731001], [0.411981, -0.609793, -0.009272, 0.410003, 0.826027, 0.154378], [-0.228906, -0.289744, 0.545904, -1.126699, -0.768656, -0.390232], [-0.66528, 0.184971, -0.243271, -0.048646, -0.593219, -0.151471], [-0.396322, 1.102551, 0.508063, -0.607432, 0.021923, -0.295836]], "network.2.bias": [0.124779, -0.167441, -0.604643, -0.699495, -0.331408, 1.042644], "network.4.weight": [[-0.31526, -0.002917, -0.029739, -0.155101, 0.116877, -0.204422], [0.461289, 0.554023, 0.780453, -0.288196, 0.164176, -1.253179], [0.245092, 0.600664, 0.724708, -0.250101, -0.523416, -1.254335], [-0.070896, -0.081403, -0.458082, 0.444352, 0.595267, 0.679908], [-0.095208, -0.052596, -0.96566, 0.615544, 0.101693, 0.81609], [0.401074, 0.660336, 0.313034, -0.528299, 0.261964, -0.960701]], "network.4.bias": [-0.178746, -0.170789, -0.144473, 0.404012, 0.407681, 0.124232], "network.6.weight": [[0.234121, -0.830803, -0.344442, -0.191148, -0.357945, -0.068699], [-0.32874, 0.774196, 1.144966, -0.276549, -0.449798, 0.37923], [0.316853, -0.366933, -0.615882, -0.646665, -0.538858, -0.450749], [0.118427, 0.378334, 0.950895, -0.490189, -0.235175, 0.250271], [0.371571, -0.091173, -0.622267, -0.168798, -0.639704, -0.185598], [0.016661, 0.009233, -0.688086, -0.032402, -0.01366, -0.659915]], "network.6.bias": [-0.109924, -0.182532, -0.050237, -0.352869, -0.565315, -0.039048], "network.8.weight": [[-0.329329, 0.146681, -0.298696, -0.20994, -0.099922, -0.227942], [-0.761628, 0.70636, 0.055885, 0.696413, 0.191318, -0.186118], [-0.032851, -0.272868, 0.012984, -0.387592, -0.056785, -0.097265], [-0.352724, 0.004854, 0.098913, -0.492637, 0.201986, 0.204371], [0.163619, -0.40254, -0.088239, -0.072865, -0.238525, -0.316302], [0.102813, 0.952185, 0.491431, 0.262166, 0.244156, 0.549166]], "network.8.bias": [-0.544599, -0.228972, -0.426649, -0.332349, -0.117971, -0.248748], "network.10.weight": [[0.058039, -0.19468, 0.196013, 0.337251, 0.351632, -0.545944], [-0.071025, -0.35997, -0.23499, -0.168497, 0.195268, 0.146329], [0.078258, -0.377709, -0.15634, -0.241083, -0.202319, 0.166636], [0.121469, 1.007895, 0.009272, 0.076507, 0.405012, 0.46664], [0.17566, 0.900231, -0.162528, 0.408105, 0.15251, 0.598217], [0.098313, 0.630317, 0.095095, 0.014069, 0.279525, 0.654492]], "network.10.bias": [-0.925282, -0.091443, -0.143426, -0.408145, -0.20982, -0.365881], "network.12.weight": [[-0.376294, 0.345875, -0.04494, -0.324929, -0.608025, -0.52403]], "network.12.bias": [1.235258]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7017310559749603, "train_acc": 0.445, "val_loss": 0.7034087181091309, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6949010491371155, "train_acc": 0.585, "val_loss": 0.7281953692436218, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6776641011238098, "train_acc": 0.585, "val_loss": 0.7182636857032776, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6674627065658569, "train_acc": 0.585, "val_loss": 0.6893005967140198, "val_acc": 0.48}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.597281813621521, "train_acc": 0.585, "val_loss": 0.6312914490699768, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6031952798366547, "train_acc": 0.505, "val_loss": 0.6287614703178406, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5784930884838104, "train_acc": 0.72, "val_loss": 0.5823979377746582, "val_acc": 0.64}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.49789610505104065, "train_acc": 0.735, "val_loss": 0.5088742971420288, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.3816966563463211, "train_acc": 0.84, "val_loss": 0.459634393453598, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.38056258857250214, "train_acc": 0.865, "val_loss": 0.4211485981941223, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.41014279425144196, "train_acc": 0.845, "val_loss": 0.4352283775806427, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.373241662979126, "train_acc": 0.84, "val_loss": 0.40989571809768677, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.30981847643852234, "train_acc": 0.895, "val_loss": 0.6046598553657532, "val_acc": 0.76}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.35450418293476105, "train_acc": 0.86, "val_loss": 0.39937540888786316, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.2823902815580368, "train_acc": 0.9, "val_loss": 0.3717385530471802, "val_acc": 0.84}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7034087181091309, "final_val_loss": 0.6312914490699768, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.6287614703178406, "final_val_loss": 0.3717385530471802, "initial_val_acc": 0.68, "final_val_acc": 0.84, "best_val_acc": 0.84, "best_epoch": 14}, "improvement": 0.36, "first_improvement_epoch": 4}}
|
195
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.46, "improved_accuracy": 1.0, "improvement": 0.54, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3175, "learning_rate": 0.027312834315219497, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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-0.060352,
0.283888
]
],
"network.6.bias": [
-0.180393,
0.660983,
0.328876,
0.359581,
0.173092,
0.181309,
0.052926
],
"network.8.weight": [
[
-0.170956,
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0.263899,
-0.014292,
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0.037143,
0.422468
],
[
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0.222094,
0.447633,
0.65337,
0.361491
],
[
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0.258363,
0.059158
],
[
0.074225,
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0.714344,
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],
[
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],
[
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],
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]
],
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"network.10.weight": [
[
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],
"network.10.bias": [
0.38145
]
}
## Activation Signature
### 0
mean: [-1.531998, -0.021138, 1.175888, 1.936175, 1.522880, -1.584725, 1.102268]
std: [0.983562, 1.495958, 0.940903, 1.441204, 1.604316, 1.132218, 1.870444]
pca: [[-0.315770, 0.219284, 0.162023, 0.270417, 0.492092, 0.521762, -0.488300, 0.000000, 0.000000, 0.000000], [-0.349058, -0.277701, 0.587347, 0.553965, -0.334639, -0.177261, 0.076041, 0.000000, 0.000000, 0.000000], [0.055672, 0.066403, 0.514544, -0.253018, 0.652214, -0.439947, 0.211614, 0.000000, 0.000000, 0.000000], [0.409186, -0.207011, 0.546734, -0.378465, -0.216392, 0.548090, -0.018177, 0.000000, 0.000000, 0.000000], [0.480244, -0.464795, -0.188263, 0.517498, 0.382430, 0.171096, 0.273051, 0.000000, 0.000000, 0.000000], [-0.456827, 0.092570, -0.061804, -0.107839, 0.067320, 0.415261, 0.768321, 0.000000, 0.000000, 0.000000], [0.410597, 0.776485, 0.160735, 0.365115, -0.151223, 0.025911, 0.214000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.676618, 15.832068, 17.391848, 19.268768, 137.879869], [20.642386, 21.089212, 24.802416, 26.499352, 30.778020], [13.314303, 13.507303, 18.174222, 19.906131, 105.829916], [21.585399, 22.005213, 24.394602, 26.109338, 174.255725], [25.038720, 30.643004, 30.697179, 34.310231, 137.059238], [17.367716, 17.794332, 21.542287, 22.636580, 142.625235], [30.589950, 32.610773, 32.753885, 33.022994, 99.204069]]
### 2
mean: [-1.779827, 0.500249, 1.428918, 1.200023, 1.844682, 0.058893, 0.894321]
std: [0.884642, 0.672671, 1.342539, 1.722599, 1.263804, 1.433206, 1.181820]
pca: [[-0.240778, 0.012882, -0.608388, 0.303200, 0.190820, 0.083723, 0.660585, 0.000000, 0.000000, 0.000000], [0.019202, 0.301119, 0.257677, -0.487709, -0.489831, 0.151954, 0.584531, 0.000000, 0.000000, 0.000000], [0.531601, 0.092832, -0.152284, -0.103632, 0.255100, 0.777466, -0.072958, 0.000000, 0.000000, 0.000000], [0.608136, 0.426445, 0.044690, 0.546127, -0.207165, -0.307582, 0.102664, 0.000000, 0.000000, 0.000000], [0.115981, -0.551383, 0.609937, 0.317216, 0.186142, 0.124708, 0.399595, 0.000000, 0.000000, 0.000000], [-0.277347, 0.621580, 0.383216, 0.014056, 0.621815, -0.006561, 0.054483, 0.000000, 0.000000, 0.000000], [0.445932, -0.168240, -0.139291, -0.510286, 0.440859, -0.505219, 0.208432, 0.000000, 0.000000, 0.000000]]
fourier: [[13.617319, 13.893565, 14.785527, 16.043339, 160.184398], [9.847793, 10.843722, 11.576615, 11.632449, 45.022417], [20.815950, 20.943587, 22.559428, 22.651428, 128.602625], [27.995962, 30.570306, 31.985530, 33.080973, 108.002098], [18.489129, 20.720227, 23.524871, 26.681859, 166.021374], [20.784594, 21.405307, 26.358631, 26.521148, 27.644157], [17.222161, 18.767285, 19.477106, 19.568569, 80.488877]]
### 4
mean: [1.759580, -0.742970, 2.886437, -0.751857, 3.415160, -0.647799, 2.465760]
std: [1.521192, 1.559256, 2.010411, 1.745765, 2.536602, 1.387110, 1.238148]
pca: [[0.330953, -0.145019, -0.188601, -0.420254, -0.093279, 0.804484, -0.036889, 0.000000, 0.000000, 0.000000], [-0.330305, 0.427373, -0.474414, 0.500535, 0.240584, 0.397068, 0.130779, 0.000000, 0.000000, 0.000000], [0.430986, 0.470315, -0.122667, -0.100653, -0.330149, -0.182221, 0.652437, 0.000000, 0.000000, 0.000000], [-0.373301, 0.417546, -0.311335, -0.470562, -0.397970, -0.155848, -0.430437, 0.000000, 0.000000, 0.000000], [0.552438, 0.208317, -0.326557, -0.089804, 0.571170, -0.264156, -0.375099, 0.000000, 0.000000, 0.000000], [-0.295582, 0.332228, 0.422528, -0.491067, 0.549646, 0.099920, 0.265489, 0.000000, 0.000000, 0.000000], [0.252409, 0.497000, 0.584992, 0.303448, -0.194152, 0.240596, -0.399252, 0.000000, 0.000000, 0.000000]]
fourier: [[23.173324, 24.956121, 25.330870, 30.564790, 158.362238], [22.394401, 25.332855, 27.211831, 33.136569, 66.867318], [30.845087, 32.313150, 36.036789, 37.525648, 259.779339], [26.347055, 27.819264, 29.348308, 36.044294, 67.667103], [39.772447, 40.429319, 44.871755, 47.907087, 307.364397], [21.628002, 21.824025, 23.895824, 27.344494, 58.301952], [18.706328, 19.136277, 21.197401, 23.649911, 221.918371]]
### 6
mean: [-1.418322, -0.883516, 4.376786, 0.765196, 5.144201, 4.079677, 3.680650]
std: [1.218299, 2.430120, 4.122960, 1.240379, 4.767156, 3.521011, 3.222606]
pca: [[-0.144960, -0.024931, -0.032913, -0.168622, 0.511398, 0.347735, 0.752596, 0.000000, 0.000000, 0.000000], [-0.284957, 0.457176, -0.372530, 0.535426, -0.328262, 0.408569, 0.098211, 0.000000, 0.000000, 0.000000], [0.490516, -0.101423, -0.362135, -0.160288, 0.229011, 0.615798, -0.400774, 0.000000, 0.000000, 0.000000], [-0.119855, 0.810955, 0.150779, -0.452018, 0.220338, -0.029598, -0.226951, 0.000000, 0.000000, 0.000000], [0.566734, 0.206151, 0.640196, 0.161942, -0.270349, 0.260303, 0.243703, 0.000000, 0.000000, 0.000000], [0.418493, 0.163970, -0.521555, -0.356781, -0.390172, -0.306869, 0.390207, 0.000000, 0.000000, 0.000000], [0.382742, 0.230324, -0.156176, 0.548959, 0.551722, -0.412482, 0.013202, 0.000000, 0.000000, 0.000000]]
fourier: [[18.635128, 19.254903, 20.849235, 24.325553, 127.649005], [37.332965, 38.683167, 40.638028, 49.619204, 79.516442], [64.046370, 65.376124, 69.831494, 82.498116, 393.910769], [20.513064, 21.026859, 21.578690, 23.118015, 68.867611], [73.180951, 76.614682, 81.855774, 94.249698, 462.978104], [53.760071, 55.161492, 61.469273, 69.864076, 367.170935], [49.068210, 50.575909, 56.660308, 62.837622, 331.258519]]
### 8
mean: [6.523155, 7.529729, 8.174178, 11.875301, 2.855489, 9.250499, -6.439375]
std: [4.985132, 5.722998, 6.084750, 9.088977, 2.921921, 7.951930, 6.767233]
pca: [[0.290157, 0.325742, -0.549381, 0.581389, 0.009816, -0.398016, 0.106562, 0.000000, 0.000000, 0.000000], [0.333823, 0.173884, 0.745113, 0.479435, 0.167549, 0.110304, 0.181755, 0.000000, 0.000000, 0.000000], [0.354711, 0.271660, -0.280056, -0.203628, 0.600275, 0.553878, -0.115642, 0.000000, 0.000000, 0.000000], [0.529920, 0.384827, 0.125350, -0.352759, -0.527928, -0.100959, -0.376882, 0.000000, 0.000000, 0.000000], [0.169667, -0.260214, -0.218684, 0.264552, -0.548404, 0.651404, 0.246205, 0.000000, 0.000000, 0.000000], [0.463769, -0.288812, -0.026246, -0.402781, 0.084538, -0.266663, 0.678475, 0.000000, 0.000000, 0.000000], [-0.392258, 0.700458, 0.018203, -0.184405, -0.157794, 0.130406, 0.528442, 0.000000, 0.000000, 0.000000]]
fourier: [[75.204277, 80.473816, 88.572259, 92.790560, 587.083939], [86.584820, 91.781852, 102.107030, 107.774201, 677.675668], [92.168746, 98.385783, 107.902653, 114.235665, 735.675971], [137.439455, 146.505730, 161.514296, 170.813871, 1068.777073], [45.663445, 47.111235, 49.644783, 57.590719, 256.994014], [123.298974, 128.503204, 138.131150, 153.855550, 832.544992], [106.252185, 109.091890, 114.711498, 133.288689, 579.543793]]
### 10
mean: [-27.706846]
std: [21.439632]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[325.607653, 345.619239, 379.777826, 402.537739, 2493.615927]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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[
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]
],
"network.0.bias": [
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"network.2.weight": [
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[
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[
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],
"network.2.bias": [
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"network.4.weight": [
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-1.531998, -0.021138, 1.175888, 1.936175, 1.522880, -1.584725, 1.102268]
std: [0.983562, 1.495958, 0.940903, 1.441204, 1.604316, 1.132218, 1.870444]
pca: [[-0.315770, 0.219284, 0.162023, 0.270417, 0.492092, 0.521762, -0.488300, 0.000000, 0.000000, 0.000000], [-0.349058, -0.277701, 0.587347, 0.553965, -0.334639, -0.177261, 0.076041, 0.000000, 0.000000, 0.000000], [0.055672, 0.066403, 0.514544, -0.253018, 0.652214, -0.439947, 0.211614, 0.000000, 0.000000, 0.000000], [0.409186, -0.207011, 0.546734, -0.378465, -0.216392, 0.548090, -0.018177, 0.000000, 0.000000, 0.000000], [0.480244, -0.464795, -0.188263, 0.517498, 0.382430, 0.171096, 0.273051, 0.000000, 0.000000, 0.000000], [-0.456827, 0.092570, -0.061804, -0.107839, 0.067320, 0.415261, 0.768321, 0.000000, 0.000000, 0.000000], [0.410597, 0.776485, 0.160735, 0.365115, -0.151223, 0.025911, 0.214000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.676618, 15.832068, 17.391848, 19.268768, 137.879869], [20.642386, 21.089212, 24.802416, 26.499352, 30.778020], [13.314303, 13.507303, 18.174222, 19.906131, 105.829916], [21.585399, 22.005213, 24.394602, 26.109338, 174.255725], [25.038720, 30.643004, 30.697179, 34.310231, 137.059238], [17.367716, 17.794332, 21.542287, 22.636580, 142.625235], [30.589950, 32.610773, 32.753885, 33.022994, 99.204069]]
### 2
mean: [-1.779827, 0.500249, 1.428918, 1.200023, 1.844682, 0.058893, 0.894321]
std: [0.884642, 0.672671, 1.342539, 1.722599, 1.263804, 1.433206, 1.181820]
pca: [[-0.240778, 0.012882, -0.608388, 0.303200, 0.190820, 0.083723, 0.660585, 0.000000, 0.000000, 0.000000], [0.019202, 0.301119, 0.257677, -0.487709, -0.489831, 0.151954, 0.584531, 0.000000, 0.000000, 0.000000], [0.531601, 0.092832, -0.152284, -0.103632, 0.255100, 0.777466, -0.072958, 0.000000, 0.000000, 0.000000], [0.608136, 0.426445, 0.044690, 0.546127, -0.207165, -0.307582, 0.102664, 0.000000, 0.000000, 0.000000], [0.115981, -0.551383, 0.609937, 0.317216, 0.186142, 0.124708, 0.399595, 0.000000, 0.000000, 0.000000], [-0.277347, 0.621580, 0.383216, 0.014056, 0.621815, -0.006561, 0.054483, 0.000000, 0.000000, 0.000000], [0.445932, -0.168240, -0.139291, -0.510286, 0.440859, -0.505219, 0.208432, 0.000000, 0.000000, 0.000000]]
fourier: [[13.617319, 13.893565, 14.785527, 16.043339, 160.184398], [9.847793, 10.843722, 11.576615, 11.632449, 45.022417], [20.815950, 20.943587, 22.559428, 22.651428, 128.602625], [27.995962, 30.570306, 31.985530, 33.080973, 108.002098], [18.489129, 20.720227, 23.524871, 26.681859, 166.021374], [20.784594, 21.405307, 26.358631, 26.521148, 27.644157], [17.222161, 18.767285, 19.477106, 19.568569, 80.488877]]
### 4
mean: [1.759580, -0.742970, 2.886437, -0.751857, 3.415160, -0.647799, 2.465760]
std: [1.521192, 1.559256, 2.010411, 1.745765, 2.536602, 1.387110, 1.238148]
pca: [[0.330953, -0.145019, -0.188601, -0.420254, -0.093279, 0.804484, -0.036889, 0.000000, 0.000000, 0.000000], [-0.330305, 0.427373, -0.474414, 0.500535, 0.240584, 0.397068, 0.130779, 0.000000, 0.000000, 0.000000], [0.430986, 0.470315, -0.122667, -0.100653, -0.330149, -0.182221, 0.652437, 0.000000, 0.000000, 0.000000], [-0.373301, 0.417546, -0.311335, -0.470562, -0.397970, -0.155848, -0.430437, 0.000000, 0.000000, 0.000000], [0.552438, 0.208317, -0.326557, -0.089804, 0.571170, -0.264156, -0.375099, 0.000000, 0.000000, 0.000000], [-0.295582, 0.332228, 0.422528, -0.491067, 0.549646, 0.099920, 0.265489, 0.000000, 0.000000, 0.000000], [0.252409, 0.497000, 0.584992, 0.303448, -0.194152, 0.240596, -0.399252, 0.000000, 0.000000, 0.000000]]
fourier: [[23.173324, 24.956121, 25.330870, 30.564790, 158.362238], [22.394401, 25.332855, 27.211831, 33.136569, 66.867318], [30.845087, 32.313150, 36.036789, 37.525648, 259.779339], [26.347055, 27.819264, 29.348308, 36.044294, 67.667103], [39.772447, 40.429319, 44.871755, 47.907087, 307.364397], [21.628002, 21.824025, 23.895824, 27.344494, 58.301952], [18.706328, 19.136277, 21.197401, 23.649911, 221.918371]]
### 6
mean: [-1.418322, -0.883516, 4.376786, 0.765196, 5.144201, 4.079677, 3.680650]
std: [1.218299, 2.430120, 4.122960, 1.240379, 4.767156, 3.521011, 3.222606]
pca: [[-0.144960, -0.024931, -0.032913, -0.168622, 0.511398, 0.347735, 0.752596, 0.000000, 0.000000, 0.000000], [-0.284957, 0.457176, -0.372530, 0.535426, -0.328262, 0.408569, 0.098211, 0.000000, 0.000000, 0.000000], [0.490516, -0.101423, -0.362135, -0.160288, 0.229011, 0.615798, -0.400774, 0.000000, 0.000000, 0.000000], [-0.119855, 0.810955, 0.150779, -0.452018, 0.220338, -0.029598, -0.226951, 0.000000, 0.000000, 0.000000], [0.566734, 0.206151, 0.640196, 0.161942, -0.270349, 0.260303, 0.243703, 0.000000, 0.000000, 0.000000], [0.418493, 0.163970, -0.521555, -0.356781, -0.390172, -0.306869, 0.390207, 0.000000, 0.000000, 0.000000], [0.382742, 0.230324, -0.156176, 0.548959, 0.551722, -0.412482, 0.013202, 0.000000, 0.000000, 0.000000]]
fourier: [[18.635128, 19.254903, 20.849235, 24.325553, 127.649005], [37.332965, 38.683167, 40.638028, 49.619204, 79.516442], [64.046370, 65.376124, 69.831494, 82.498116, 393.910769], [20.513064, 21.026859, 21.578690, 23.118015, 68.867611], [73.180951, 76.614682, 81.855774, 94.249698, 462.978104], [53.760071, 55.161492, 61.469273, 69.864076, 367.170935], [49.068210, 50.575909, 56.660308, 62.837622, 331.258519]]
### 8
mean: [6.523155, 7.529729, 8.174178, 11.875301, 2.855489, 9.250499, -6.439375]
std: [4.985132, 5.722998, 6.084750, 9.088977, 2.921921, 7.951930, 6.767233]
pca: [[0.290157, 0.325742, -0.549381, 0.581389, 0.009816, -0.398016, 0.106562, 0.000000, 0.000000, 0.000000], [0.333823, 0.173884, 0.745113, 0.479435, 0.167549, 0.110304, 0.181755, 0.000000, 0.000000, 0.000000], [0.354711, 0.271660, -0.280056, -0.203628, 0.600275, 0.553878, -0.115642, 0.000000, 0.000000, 0.000000], [0.529920, 0.384827, 0.125350, -0.352759, -0.527928, -0.100959, -0.376882, 0.000000, 0.000000, 0.000000], [0.169667, -0.260214, -0.218684, 0.264552, -0.548404, 0.651404, 0.246205, 0.000000, 0.000000, 0.000000], [0.463769, -0.288812, -0.026246, -0.402781, 0.084538, -0.266663, 0.678475, 0.000000, 0.000000, 0.000000], [-0.392258, 0.700458, 0.018203, -0.184405, -0.157794, 0.130406, 0.528442, 0.000000, 0.000000, 0.000000]]
fourier: [[75.204277, 80.473816, 88.572259, 92.790560, 587.083939], [86.584820, 91.781852, 102.107030, 107.774201, 677.675668], [92.168746, 98.385783, 107.902653, 114.235665, 735.675971], [137.439455, 146.505730, 161.514296, 170.813871, 1068.777073], [45.663445, 47.111235, 49.644783, 57.590719, 256.994014], [123.298974, 128.503204, 138.131150, 153.855550, 832.544992], [106.252185, 109.091890, 114.711498, 133.288689, 579.543793]]
### 10
mean: [-27.706846]
std: [21.439632]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[325.607653, 345.619239, 379.777826, 402.537739, 2493.615927]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
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"layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.215848, -0.310186, -0.127575, -0.035636, -0.073398], [-0.17959, -0.475501, -0.055615, -0.087444, 0.583598], [-0.245719, -0.2163, 0.314843, 0.298129, 0.017591], [-0.054842, 0.066971, 0.412238, 0.416534, 0.286719], [0.755063, -0.125432, 0.039597, 0.285367, 0.091014], [-0.299627, -0.089146, -0.068272, -0.389192, -0.03319], [-0.078046, 0.160859, -0.353056, 0.723538, -0.364863]], "network.0.bias": [-0.264725, 0.652742, 0.557131, -0.225585, 0.004895, -0.031264, 0.542175], "network.2.weight": [[0.156012, -0.33566, -0.429909, -0.174498, -0.135377, 0.455767, -0.239577], [-0.306287, 0.661363, -0.015288, 0.126614, -0.111312, -0.28309, -0.047138], [-0.705939, 0.27816, 0.615201, -0.113899, -0.296121, -0.417324, 0.640169], [-0.713593, 0.603412, 0.689552, 0.223869, -0.645092, -0.431041, 0.453216], [0.411628, -0.645704, 0.315414, 0.18881, 0.490988, 0.205508, 0.187179], [-0.597922, 0.78478, 0.502224, -0.163185, 0.01231, -0.53761, -0.717371], [-0.137664, 0.043016, 0.549935, -0.2738, 0.004851, -0.490759, 0.715163]], "network.2.bias": [-0.250326, 0.138001, 0.322454, -0.036537, 0.53216, 0.264517, -0.210077], "network.4.weight": [[-0.413942, 0.142041, 0.149672, 0.61303, -0.247917, 0.290174, 0.60322], [-0.102663, -0.125286, -0.799045, -0.382955, 0.40351, -0.237487, -0.037856], [-0.09773, 0.265298, 0.270186, 0.806942, 0.175102, 0.744624, 0.564601], [-0.283925, 0.062816, -0.724541, -0.398077, 0.432245, -0.524752, -0.330194], [-0.614532, 0.319132, 0.711438, 0.767119, -0.008974, 0.80942, 0.671775], [0.332752, 0.318297, -0.123458, -0.56559, 0.359835, -0.399967, -0.624059], [-0.247519, 0.271055, 0.322008, 0.427193, 0.281789, 0.678296, 0.095362]], "network.4.bias": [0.326645, 0.443321, 0.021658, 0.603876, 0.103817, 0.346978, 0.31597], "network.6.weight": [[-0.060577, -0.103587, -0.174774, 0.255744, -0.215044, 0.287482, -0.00934], [-0.64248, 0.495524, -0.169871, 0.589532, -0.248527, 0.29397, 0.218267], [0.292534, -0.579355, 0.343293, -0.687108, 0.656033, -0.503315, 0.340113], [0.046467, 0.435856, 0.010309, 0.56854, -0.323476, 0.353029, 0.418209], [0.652991, -0.292327, 0.674225, -0.672698, 0.700684, -0.460972, -0.033529], [0.250761, -0.040611, 0.407007, -0.658729, 0.403593, -0.599223, 0.534512], [0.14693, 0.007435, 0.335136, -0.803363, 0.591238, -0.060352, 0.283888]], "network.6.bias": [-0.180393, 0.660983, 0.328876, 0.359581, 0.173092, 0.181309, 0.052926], "network.8.weight": [[-0.170956, 0.042681, 0.263899, -0.014292, 0.663988, 0.037143, 0.422468], [-0.469349, -0.276924, 0.200315, 0.222094, 0.447633, 0.65337, 0.361491], [-0.385686, -0.13391, 0.65906, 0.128863, 0.676785, 0.258363, 0.059158], [0.074225, 0.047083, 0.567389, -0.242208, 0.616076, 0.714344, 0.760303], [-0.272726, -0.048357, 0.034062, -0.430721, 0.191141, 0.22182, 0.293841], [0.069944, -0.507001, 0.379851, -0.36848, 0.611606, 0.606883, 0.491189], [0.261013, 0.759942, -0.180455, 0.444163, -0.522596, -0.427061, -0.508283]], "network.8.bias": [-0.253809, -0.145924, -0.110949, -0.186546, -0.136324, 0.054262, 0.382111], "network.10.weight": [[-0.709277, -0.705881, -0.622998, -0.574189, -0.156665, -0.599583, 0.387805]], "network.10.bias": [0.38145]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6816706955432892, "train_acc": 0.58, "val_loss": 0.6983689665794373, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6428396701812744, "train_acc": 0.58, "val_loss": 0.6613731384277344, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6243137419223785, "train_acc": 0.51, "val_loss": 0.5639023780822754, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5252843499183655, "train_acc": 0.51, "val_loss": 0.46734413504600525, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4374869167804718, "train_acc": 0.845, "val_loss": 0.36962103843688965, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.36768171191215515, "train_acc": 0.92, "val_loss": 0.31459248065948486, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3167627900838852, "train_acc": 0.935, "val_loss": 0.2600928843021393, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2788980305194855, "train_acc": 0.94, "val_loss": 0.22366970777511597, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2422792986035347, "train_acc": 0.945, "val_loss": 0.18442274630069733, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.20716360211372375, "train_acc": 0.95, "val_loss": 0.1376357078552246, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.18591435253620148, "train_acc": 0.95, "val_loss": 0.08734770119190216, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.15479008108377457, "train_acc": 0.95, "val_loss": 0.04068479686975479, "val_acc": 1.0}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6983689665794373, "final_val_loss": 0.6613731384277344, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5639023780822754, "final_val_loss": 0.04068479686975479, "initial_val_acc": 0.46, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 11}, "improvement": 0.54, "first_improvement_epoch": 1}}
|
196
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.54, "improved_accuracy": 0.8, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7334, "learning_rate": 0.022360110974562676, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.223184
]
],
"network.8.bias": [
0.057158
]
}
## Activation Signature
### 0
mean: [0.380790, 1.144679, 1.384982, 0.638503, 1.429659, -1.419503, 1.314683, 0.069237]
std: [1.392658, 1.518960, 1.187307, 1.288289, 0.988477, 0.997481, 1.125186, 1.011016]
pca: [[0.485000, 0.028406, 0.084053, 0.337083, 0.763784, 0.124236, 0.098466, -0.186500, 0.000000, 0.000000], [0.528349, 0.201145, 0.153148, -0.558248, -0.101562, -0.514492, 0.075555, -0.254103, 0.000000, 0.000000], [0.372368, -0.088291, 0.279494, 0.624439, -0.389543, -0.342237, -0.158690, 0.302413, 0.000000, 0.000000], [0.475359, -0.049701, -0.065331, -0.216301, -0.217115, 0.622577, -0.531946, 0.052936, 0.000000, 0.000000], [0.015673, -0.358132, 0.709507, -0.161204, -0.109377, 0.334651, 0.465719, 0.035485, 0.000000, 0.000000], [0.122341, 0.638579, -0.039736, -0.078303, 0.021190, 0.176975, 0.349041, 0.644935, 0.000000, 0.000000], [0.165574, -0.632361, -0.330855, -0.255983, 0.224195, -0.201360, 0.079158, 0.548304, 0.000000, 0.000000], [0.279949, -0.112013, -0.522160, 0.200945, -0.380474, 0.176858, 0.575722, -0.297583, 0.000000, 0.000000]]
fourier: [[22.392214, 23.225489, 24.625744, 28.526021, 34.271060], [28.112887, 28.674764, 29.175200, 34.300594, 103.021140], [18.118932, 19.995608, 20.400962, 26.041221, 124.648413], [22.288938, 22.358531, 23.977146, 30.565274, 57.465258], [15.089423, 15.861149, 16.539420, 16.729946, 128.669300], [14.054929, 16.110303, 17.842194, 17.987902, 127.755255], [16.125857, 19.143585, 19.553115, 22.511871, 118.321432], [14.915529, 16.253123, 17.481739, 18.540413, 20.710978]]
### 2
mean: [1.077845, 0.521810, 0.492382, 0.726786, 1.563556, -0.257852, 1.792655, 1.162871]
std: [1.216648, 0.641716, 0.879760, 0.406667, 1.807838, 0.554433, 2.275668, 0.908801]
pca: [[0.347276, -0.175847, 0.595218, -0.104786, 0.503034, -0.389381, -0.268646, -0.079885, 0.000000, 0.000000], [0.147024, 0.451182, -0.013216, 0.626200, -0.082580, -0.065324, -0.277384, -0.542668, 0.000000, 0.000000], [-0.175077, 0.748240, -0.119660, -0.285909, 0.381664, 0.003889, -0.255792, 0.319859, 0.000000, 0.000000], [0.084730, 0.299697, 0.119779, -0.538190, -0.497531, -0.449479, 0.205835, -0.327217, 0.000000, 0.000000], [0.535342, 0.040967, 0.028847, 0.078503, -0.494330, 0.006979, -0.400155, 0.547907, 0.000000, 0.000000], [-0.109482, 0.243113, 0.743324, 0.035402, -0.166199, 0.547041, 0.215055, 0.044732, 0.000000, 0.000000], [0.671703, 0.202855, -0.185828, 0.037286, 0.270506, 0.131947, 0.616839, 0.025847, 0.000000, 0.000000], [0.264933, -0.117893, -0.170239, -0.465504, 0.042144, 0.570400, -0.395255, -0.432294, 0.000000, 0.000000]]
fourier: [[20.499939, 20.518010, 23.347557, 27.405093, 97.006010], [10.813278, 10.965128, 11.127481, 13.369543, 46.962897], [13.271328, 13.825640, 15.329054, 18.660938, 44.314378], [6.464892, 6.945292, 7.018336, 7.955694, 65.410709], [30.945185, 31.303923, 33.665582, 40.294807, 140.720077], [8.263689, 8.625530, 9.433150, 9.891788, 23.206719], [39.545728, 39.558672, 40.864705, 49.976781, 161.338968], [15.647168, 16.169446, 17.311492, 21.223115, 104.658385]]
### 4
mean: [1.599328, 1.821694, -0.191661, -0.282080, 1.031619, 0.167090, -0.280793, -0.203832]
std: [1.845392, 1.939976, 0.314615, 0.586970, 1.322278, 0.246365, 0.750779, 1.303320]
pca: [[0.546989, 0.030281, 0.630803, -0.482768, 0.102485, 0.082833, -0.095458, 0.205990, 0.000000, 0.000000], [0.572798, 0.355475, -0.235749, 0.301091, 0.449265, -0.269354, 0.337657, -0.104418, 0.000000, 0.000000], [-0.064931, -0.410315, -0.025883, 0.100239, 0.078630, -0.248742, 0.373040, 0.780701, 0.000000, 0.000000], [-0.148189, 0.541414, 0.391065, 0.563290, -0.113205, 0.021971, -0.268506, 0.359569, 0.000000, 0.000000], [0.391866, -0.039946, -0.515780, 0.064169, -0.092170, 0.559827, -0.363347, 0.347527, 0.000000, 0.000000], [0.011664, 0.434503, -0.087053, -0.236774, -0.554851, 0.224037, 0.617624, 0.088995, 0.000000, 0.000000], [-0.209821, 0.439988, -0.340627, -0.521655, 0.134957, -0.427148, -0.316431, 0.270992, 0.000000, 0.000000], [-0.385758, 0.165091, 0.057222, -0.128961, 0.658856, 0.558728, 0.228063, 0.075824, 0.000000, 0.000000]]
fourier: [[32.054049, 33.114868, 35.496175, 42.320492, 143.939506], [33.073610, 33.223764, 38.270156, 43.361008, 163.952471], [5.043317, 5.391727, 5.466368, 6.119845, 17.249471], [9.341959, 9.737322, 10.698663, 13.814135, 25.387192], [22.708627, 22.904752, 25.820591, 30.459395, 92.845732], [3.855781, 4.157479, 4.465960, 4.818868, 15.038080], [12.149403, 14.043454, 14.237584, 16.609053, 25.271331], [21.336824, 22.464565, 23.157775, 24.833605, 30.021716]]
### 6
mean: [1.697207, -0.463152, -0.637322, 0.100909, 0.893617, 1.657872, 0.485112, 0.541668]
std: [1.862753, 0.944915, 1.118255, 0.521917, 1.098100, 2.275902, 0.846840, 0.969599]
pca: [[0.499648, -0.223963, -0.530720, -0.062525, -0.190301, 0.128763, -0.479392, 0.363330, 0.000000, 0.000000], [-0.253417, 0.067617, 0.328919, 0.266404, 0.187148, -0.370947, -0.360351, 0.670500, 0.000000, 0.000000], [-0.300027, 0.096956, -0.104997, -0.494516, 0.189176, 0.523930, 0.274396, 0.509342, 0.000000, 0.000000], [0.133787, 0.826831, -0.124842, 0.087333, 0.326861, 0.192265, -0.322965, -0.164711, 0.000000, 0.000000], [0.294351, -0.247202, 0.048372, -0.440519, 0.732695, -0.322255, -0.039599, -0.116596, 0.000000, 0.000000], [0.610555, 0.146038, 0.676378, -0.164224, -0.231949, 0.171734, 0.104165, 0.165213, 0.000000, 0.000000], [0.226802, -0.243348, -0.009823, 0.669096, 0.436912, 0.399600, 0.284192, 0.101093, 0.000000, 0.000000], [0.259535, 0.332514, -0.351589, 0.065046, -0.067837, -0.491252, 0.606257, 0.284168, 0.000000, 0.000000]]
fourier: [[32.424928, 33.326821, 37.408823, 42.769384, 152.748623], [16.371636, 16.961524, 18.981558, 21.626100, 41.683714], [19.246801, 19.949676, 22.116074, 25.858247, 57.359008], [8.993777, 9.081821, 9.215412, 9.911939, 10.902202], [19.038390, 19.697318, 21.510516, 25.908725, 80.425524], [38.441363, 40.541912, 44.822589, 52.876341, 149.208468], [14.847643, 15.515760, 16.618475, 19.831631, 43.660051], [16.396214, 16.819906, 19.420354, 21.762470, 48.750106]]
### 8
mean: [-1.683162]
std: [2.375341]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.004675, 42.144926, 47.910556, 54.434835, 151.484557]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.496634,
0.137533,
0.196108,
-0.275127,
-0.056077
],
[
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0.334231,
0.01204,
-0.045997
],
[
0.2115,
0.187471,
0.221905,
-0.263164,
0.31696
],
[
0.594526,
-0.159575,
0.121009,
-0.007254,
0.107324
],
[
-0.171781,
0.149776,
0.402551,
0.201871,
0.042935
],
[
0.154107,
-0.383215,
0.105902,
-0.23566,
-0.12411
],
[
0.360356,
0.221656,
-0.207332,
0.272245,
0.045913
],
[
0.433625,
0.014021,
-0.265764,
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0.236356
]
],
"network.0.bias": [
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0.401633,
0.490055,
-0.180157,
0.043767,
-0.475765,
0.254985,
-0.035807
],
"network.2.weight": [
[
0.427192,
0.251195,
0.183589,
0.196791,
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-0.055053,
0.039762
],
[
-0.092683,
-0.156646,
0.279128,
0.210048,
0.277757,
0.2164,
0.064552,
0.352827
],
[
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-0.17836,
0.42816,
-0.300037,
0.38258,
0.038628,
0.208194,
-0.427196
],
[
0.107857,
0.065134,
0.15675,
0.042763,
0.150511,
0.082388,
0.075302,
-0.263272
],
[
0.301819,
0.272143,
0.17948,
0.504819,
-0.098877,
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0.239184,
0.311638
],
[
-0.237684,
-0.003532,
0.364154,
-0.055804,
0.08992,
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-0.234797,
-0.342735
],
[
0.378424,
0.310126,
0.377661,
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-0.15984,
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],
[
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0.394215,
0.117746,
-0.007344,
-0.27512,
-0.203455,
0.356437,
-0.15757
]
],
"network.2.bias": [
0.532163,
-0.306544,
-0.140502,
0.137034,
0.193511,
-0.283869,
-0.136261,
0.413904
],
"network.4.weight": [
[
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0.01347,
-0.508836,
0.123301,
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],
[
0.536589,
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0.122225,
0.477418,
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0.043342,
0.095556
],
[
0.091063,
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-0.083209,
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-0.130713,
0.042299
],
[
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0.27576,
0.104177,
0.124859,
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-0.074847,
-0.352596
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[
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[
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0.14932,
0.081374,
0.140178,
0.486013,
0.101165,
-0.120953
],
[
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-0.029053,
0.435116,
0.275634,
-0.18315,
0.478685,
0.034838,
-0.07622
],
[
-0.226555,
0.275385,
0.336418,
0.299755,
-0.272102,
0.102852,
-0.34209,
0.18459
]
],
"network.4.bias": [
0.37788,
0.36672,
0.118702,
-0.103743,
0.308809,
-0.001334,
-0.167795,
0.328254
],
"network.6.weight": [
[
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0.225407,
0.123198,
-0.468843,
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-0.42506,
-0.172417,
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],
[
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-0.092187,
0.232272,
0.177087,
-0.332531,
0.229603,
0.246456,
-0.112988
],
[
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0.035916,
-0.036159,
0.030858,
0.163634,
0.14626
],
[
0.025759,
0.262501,
0.247637,
0.250385,
0.000119,
-0.043892,
0.394254,
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],
[
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0.439542,
-0.025329,
0.156524,
-0.375349
],
[
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0.069689,
-0.130795,
0.400257,
0.284746,
-0.375519,
-0.437672
],
[
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0.054192,
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-0.213577,
0.178553,
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],
[
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0.078456,
0.179929,
0.059349,
0.364798,
0.011009,
-0.125483,
0.119166
]
],
"network.6.bias": [
0.289105,
0.247927,
0.182952,
-0.380376,
0.230988,
0.043806,
-0.127107,
-0.235899
],
"network.8.weight": [
[
-0.401965,
0.12601,
0.124171,
-0.003068,
-0.373539,
-0.385225,
-0.112918,
-0.223184
]
],
"network.8.bias": [
0.057158
]
}
## Activation Signature
### 0
mean: [0.380790, 1.144679, 1.384982, 0.638503, 1.429659, -1.419503, 1.314683, 0.069237]
std: [1.392658, 1.518960, 1.187307, 1.288289, 0.988477, 0.997481, 1.125186, 1.011016]
pca: [[0.485000, 0.028406, 0.084053, 0.337083, 0.763784, 0.124236, 0.098466, -0.186500, 0.000000, 0.000000], [0.528349, 0.201145, 0.153148, -0.558248, -0.101562, -0.514492, 0.075555, -0.254103, 0.000000, 0.000000], [0.372368, -0.088291, 0.279494, 0.624439, -0.389543, -0.342237, -0.158690, 0.302413, 0.000000, 0.000000], [0.475359, -0.049701, -0.065331, -0.216301, -0.217115, 0.622577, -0.531946, 0.052936, 0.000000, 0.000000], [0.015673, -0.358132, 0.709507, -0.161204, -0.109377, 0.334651, 0.465719, 0.035485, 0.000000, 0.000000], [0.122341, 0.638579, -0.039736, -0.078303, 0.021190, 0.176975, 0.349041, 0.644935, 0.000000, 0.000000], [0.165574, -0.632361, -0.330855, -0.255983, 0.224195, -0.201360, 0.079158, 0.548304, 0.000000, 0.000000], [0.279949, -0.112013, -0.522160, 0.200945, -0.380474, 0.176858, 0.575722, -0.297583, 0.000000, 0.000000]]
fourier: [[22.392214, 23.225489, 24.625744, 28.526021, 34.271060], [28.112887, 28.674764, 29.175200, 34.300594, 103.021140], [18.118932, 19.995608, 20.400962, 26.041221, 124.648413], [22.288938, 22.358531, 23.977146, 30.565274, 57.465258], [15.089423, 15.861149, 16.539420, 16.729946, 128.669300], [14.054929, 16.110303, 17.842194, 17.987902, 127.755255], [16.125857, 19.143585, 19.553115, 22.511871, 118.321432], [14.915529, 16.253123, 17.481739, 18.540413, 20.710978]]
### 2
mean: [1.077845, 0.521810, 0.492382, 0.726786, 1.563556, -0.257852, 1.792655, 1.162871]
std: [1.216648, 0.641716, 0.879760, 0.406667, 1.807838, 0.554433, 2.275668, 0.908801]
pca: [[0.347276, -0.175847, 0.595218, -0.104786, 0.503034, -0.389381, -0.268646, -0.079885, 0.000000, 0.000000], [0.147024, 0.451182, -0.013216, 0.626200, -0.082580, -0.065324, -0.277384, -0.542668, 0.000000, 0.000000], [-0.175077, 0.748240, -0.119660, -0.285909, 0.381664, 0.003889, -0.255792, 0.319859, 0.000000, 0.000000], [0.084730, 0.299697, 0.119779, -0.538190, -0.497531, -0.449479, 0.205835, -0.327217, 0.000000, 0.000000], [0.535342, 0.040967, 0.028847, 0.078503, -0.494330, 0.006979, -0.400155, 0.547907, 0.000000, 0.000000], [-0.109482, 0.243113, 0.743324, 0.035402, -0.166199, 0.547041, 0.215055, 0.044732, 0.000000, 0.000000], [0.671703, 0.202855, -0.185828, 0.037286, 0.270506, 0.131947, 0.616839, 0.025847, 0.000000, 0.000000], [0.264933, -0.117893, -0.170239, -0.465504, 0.042144, 0.570400, -0.395255, -0.432294, 0.000000, 0.000000]]
fourier: [[20.499939, 20.518010, 23.347557, 27.405093, 97.006010], [10.813278, 10.965128, 11.127481, 13.369543, 46.962897], [13.271328, 13.825640, 15.329054, 18.660938, 44.314378], [6.464892, 6.945292, 7.018336, 7.955694, 65.410709], [30.945185, 31.303923, 33.665582, 40.294807, 140.720077], [8.263689, 8.625530, 9.433150, 9.891788, 23.206719], [39.545728, 39.558672, 40.864705, 49.976781, 161.338968], [15.647168, 16.169446, 17.311492, 21.223115, 104.658385]]
### 4
mean: [1.599328, 1.821694, -0.191661, -0.282080, 1.031619, 0.167090, -0.280793, -0.203832]
std: [1.845392, 1.939976, 0.314615, 0.586970, 1.322278, 0.246365, 0.750779, 1.303320]
pca: [[0.546989, 0.030281, 0.630803, -0.482768, 0.102485, 0.082833, -0.095458, 0.205990, 0.000000, 0.000000], [0.572798, 0.355475, -0.235749, 0.301091, 0.449265, -0.269354, 0.337657, -0.104418, 0.000000, 0.000000], [-0.064931, -0.410315, -0.025883, 0.100239, 0.078630, -0.248742, 0.373040, 0.780701, 0.000000, 0.000000], [-0.148189, 0.541414, 0.391065, 0.563290, -0.113205, 0.021971, -0.268506, 0.359569, 0.000000, 0.000000], [0.391866, -0.039946, -0.515780, 0.064169, -0.092170, 0.559827, -0.363347, 0.347527, 0.000000, 0.000000], [0.011664, 0.434503, -0.087053, -0.236774, -0.554851, 0.224037, 0.617624, 0.088995, 0.000000, 0.000000], [-0.209821, 0.439988, -0.340627, -0.521655, 0.134957, -0.427148, -0.316431, 0.270992, 0.000000, 0.000000], [-0.385758, 0.165091, 0.057222, -0.128961, 0.658856, 0.558728, 0.228063, 0.075824, 0.000000, 0.000000]]
fourier: [[32.054049, 33.114868, 35.496175, 42.320492, 143.939506], [33.073610, 33.223764, 38.270156, 43.361008, 163.952471], [5.043317, 5.391727, 5.466368, 6.119845, 17.249471], [9.341959, 9.737322, 10.698663, 13.814135, 25.387192], [22.708627, 22.904752, 25.820591, 30.459395, 92.845732], [3.855781, 4.157479, 4.465960, 4.818868, 15.038080], [12.149403, 14.043454, 14.237584, 16.609053, 25.271331], [21.336824, 22.464565, 23.157775, 24.833605, 30.021716]]
### 6
mean: [1.697207, -0.463152, -0.637322, 0.100909, 0.893617, 1.657872, 0.485112, 0.541668]
std: [1.862753, 0.944915, 1.118255, 0.521917, 1.098100, 2.275902, 0.846840, 0.969599]
pca: [[0.499648, -0.223963, -0.530720, -0.062525, -0.190301, 0.128763, -0.479392, 0.363330, 0.000000, 0.000000], [-0.253417, 0.067617, 0.328919, 0.266404, 0.187148, -0.370947, -0.360351, 0.670500, 0.000000, 0.000000], [-0.300027, 0.096956, -0.104997, -0.494516, 0.189176, 0.523930, 0.274396, 0.509342, 0.000000, 0.000000], [0.133787, 0.826831, -0.124842, 0.087333, 0.326861, 0.192265, -0.322965, -0.164711, 0.000000, 0.000000], [0.294351, -0.247202, 0.048372, -0.440519, 0.732695, -0.322255, -0.039599, -0.116596, 0.000000, 0.000000], [0.610555, 0.146038, 0.676378, -0.164224, -0.231949, 0.171734, 0.104165, 0.165213, 0.000000, 0.000000], [0.226802, -0.243348, -0.009823, 0.669096, 0.436912, 0.399600, 0.284192, 0.101093, 0.000000, 0.000000], [0.259535, 0.332514, -0.351589, 0.065046, -0.067837, -0.491252, 0.606257, 0.284168, 0.000000, 0.000000]]
fourier: [[32.424928, 33.326821, 37.408823, 42.769384, 152.748623], [16.371636, 16.961524, 18.981558, 21.626100, 41.683714], [19.246801, 19.949676, 22.116074, 25.858247, 57.359008], [8.993777, 9.081821, 9.215412, 9.911939, 10.902202], [19.038390, 19.697318, 21.510516, 25.908725, 80.425524], [38.441363, 40.541912, 44.822589, 52.876341, 149.208468], [14.847643, 15.515760, 16.618475, 19.831631, 43.660051], [16.396214, 16.819906, 19.420354, 21.762470, 48.750106]]
### 8
mean: [-1.683162]
std: [2.375341]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.004675, 42.144926, 47.910556, 54.434835, 151.484557]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.496634, 0.137533, 0.196108, -0.275127, -0.056077], [0.64796, -0.40092, 0.334231, 0.01204, -0.045997], [0.2115, 0.187471, 0.221905, -0.263164, 0.31696], [0.594526, -0.159575, 0.121009, -0.007254, 0.107324], [-0.171781, 0.149776, 0.402551, 0.201871, 0.042935], [0.154107, -0.383215, 0.105902, -0.23566, -0.12411], [0.360356, 0.221656, -0.207332, 0.272245, 0.045913], [0.433625, 0.014021, -0.265764, -0.091623, 0.236356]], "network.0.bias": [-0.238353, 0.401633, 0.490055, -0.180157, 0.043767, -0.475765, 0.254985, -0.035807], "network.2.weight": [[0.427192, 0.251195, 0.183589, 0.196791, -0.257124, -0.14918, -0.055053, 0.039762], [-0.092683, -0.156646, 0.279128, 0.210048, 0.277757, 0.2164, 0.064552, 0.352827], [-0.257697, -0.17836, 0.42816, -0.300037, 0.38258, 0.038628, 0.208194, -0.427196], [0.107857, 0.065134, 0.15675, 0.042763, 0.150511, 0.082388, 0.075302, -0.263272], [0.301819, 0.272143, 0.17948, 0.504819, -0.098877, -0.104275, 0.239184, 0.311638], [-0.237684, -0.003532, 0.364154, -0.055804, 0.08992, -0.246622, -0.234797, -0.342735], [0.378424, 0.310126, 0.377661, 0.512615, -0.15984, 0.306507, 0.509481, 0.226477], [0.149468, 0.394215, 0.117746, -0.007344, -0.27512, -0.203455, 0.356437, -0.15757]], "network.2.bias": [0.532163, -0.306544, -0.140502, 0.137034, 0.193511, -0.283869, -0.136261, 0.413904], "network.4.weight": [[0.140746, 0.01347, -0.508836, 0.123301, 0.080188, -0.237719, 0.338656, 0.560823], [0.536589, 0.201431, -0.212711, 0.122225, 0.477418, -0.434365, 0.043342, 0.095556], [0.091063, -0.173747, -0.083209, -0.163258, -0.00126, -0.190845, -0.130713, 0.042299], [-0.285008, 0.448847, 0.27576, 0.104177, 0.124859, -0.095518, -0.074847, -0.352596], [0.419936, -0.141152, -0.319216, -0.059053, 0.166101, 0.016303, 0.238143, -0.069119], [-0.254203, 0.095736, 0.14932, 0.081374, 0.140178, 0.486013, 0.101165, -0.120953], [-0.210531, -0.029053, 0.435116, 0.275634, -0.18315, 0.478685, 0.034838, -0.07622], [-0.226555, 0.275385, 0.336418, 0.299755, -0.272102, 0.102852, -0.34209, 0.18459]], "network.4.bias": [0.37788, 0.36672, 0.118702, -0.103743, 0.308809, -0.001334, -0.167795, 0.328254], "network.6.weight": [[0.443096, 0.225407, 0.123198, -0.468843, 0.412012, -0.42506, -0.172417, 0.091834], [-0.154491, -0.092187, 0.232272, 0.177087, -0.332531, 0.229603, 0.246456, -0.112988], [-0.335376, -0.20391, -0.386601, 0.035916, -0.036159, 0.030858, 0.163634, 0.14626], [0.025759, 0.262501, 0.247637, 0.250385, 0.000119, -0.043892, 0.394254, -0.022439], [0.294691, -0.063646, 0.035244, -0.249185, 0.439542, -0.025329, 0.156524, -0.375349], [0.359529, 0.462021, 0.069689, -0.130795, 0.400257, 0.284746, -0.375519, -0.437672], [0.451101, 0.057487, 0.054192, -0.33732, -0.113954, -0.213577, 0.178553, -0.142316], [0.183834, 0.078456, 0.179929, 0.059349, 0.364798, 0.011009, -0.125483, 0.119166]], "network.6.bias": [0.289105, 0.247927, 0.182952, -0.380376, 0.230988, 0.043806, -0.127107, -0.235899], "network.8.weight": [[-0.401965, 0.12601, 0.124171, -0.003068, -0.373539, -0.385225, -0.112918, -0.223184]], "network.8.bias": [0.057158]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6940335929393768, "train_acc": 0.555, "val_loss": 0.6891427636146545, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.685752809047699, "train_acc": 0.555, "val_loss": 0.6773101687431335, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6626339256763458, "train_acc": 0.555, "val_loss": 0.6458860039710999, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6251274645328522, "train_acc": 0.565, "val_loss": 0.5988625884056091, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.566509336233139, "train_acc": 0.78, "val_loss": 0.5432015061378479, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5658919215202332, "train_acc": 0.75, "val_loss": 0.5014647841453552, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4989948719739914, "train_acc": 0.795, "val_loss": 0.5774809122085571, "val_acc": 0.66}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.525730162858963, "train_acc": 0.71, "val_loss": 0.5773411393165588, "val_acc": 0.68}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.5080848187208176, "train_acc": 0.73, "val_loss": 0.5156126022338867, "val_acc": 0.74}], "summary": {"total_epochs": 9, "degraded_epochs": 3, "improved_epochs": 6, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6891427636146545, "final_val_loss": 0.6458860039710999, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5988625884056091, "final_val_loss": 0.5156126022338867, "initial_val_acc": 0.78, "final_val_acc": 0.74, "best_val_acc": 0.8, "best_epoch": 4}, "improvement": 0.26, "first_improvement_epoch": 2}}
|
197
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.56, "improved_accuracy": 0.92, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1943, "learning_rate": 0.06870548422354392, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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"network.6.weight": [
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"network.8.weight": [
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"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [0.982490, 1.074851, -2.031441, -1.813394, 1.243870, 1.937924, 1.316273, 0.608947]
std: [1.828555, 2.293848, 1.206749, 1.253376, 1.498665, 1.486943, 1.530594, 1.434026]
pca: [[-0.229259, 0.378106, 0.840269, 0.145857, -0.111353, 0.141056, 0.085601, -0.193715, 0.000000, 0.000000], [0.669624, 0.023906, 0.194585, -0.097641, 0.214975, -0.051326, 0.656586, 0.153888, 0.000000, 0.000000], [-0.062430, -0.438369, 0.328027, 0.080767, 0.768845, -0.009363, -0.287584, 0.126076, 0.000000, 0.000000], [-0.233549, -0.373118, 0.225024, -0.083956, -0.395932, 0.019771, 0.125971, 0.758638, 0.000000, 0.000000], [0.391611, 0.195566, 0.031937, 0.701978, -0.128835, -0.295949, -0.359354, 0.285100, 0.000000, 0.000000], [-0.086803, 0.588445, 0.003657, -0.497869, 0.236459, -0.400597, -0.204483, 0.374309, 0.000000, 0.000000], [-0.333912, 0.355167, -0.307045, 0.387311, 0.340420, 0.442224, 0.324776, 0.318032, 0.000000, 0.000000], [0.410135, 0.120096, 0.050368, -0.254879, -0.071446, 0.730318, -0.431932, 0.157583, 0.000000, 0.000000]]
fourier: [[29.780119, 30.740567, 31.687840, 32.700405, 88.424139], [38.713995, 40.130924, 40.136762, 42.181824, 96.736584], [20.002454, 21.356892, 21.874506, 23.304331, 182.829713], [18.831709, 20.770324, 24.988151, 26.469528, 163.205485], [23.721535, 25.058839, 27.660533, 29.324208, 111.948287], [22.400825, 22.428446, 23.512407, 26.622458, 174.413099], [21.642217, 22.434011, 27.324101, 27.866174, 118.464555], [23.948167, 24.026144, 24.410593, 26.103720, 54.805248]]
### 2
mean: [0.428584, 2.803180, 1.503907, 0.772336, -1.554916, 1.211808, 0.350010, -0.208429]
std: [2.358361, 1.455516, 1.619807, 3.457810, 0.996360, 3.026023, 0.676525, 0.266023]
pca: [[0.431939, 0.164001, -0.158641, -0.012896, 0.169324, 0.372707, 0.542172, -0.547419, 0.000000, 0.000000], [0.162095, 0.611269, 0.632478, 0.417561, 0.078926, -0.134790, -0.026478, 0.024321, 0.000000, 0.000000], [-0.266051, 0.400719, -0.242866, 0.123291, -0.521750, 0.464842, -0.381915, -0.245552, 0.000000, 0.000000], [0.633015, 0.207332, -0.518993, 0.145516, -0.233017, -0.344713, -0.125846, 0.277157, 0.000000, 0.000000], [-0.102451, -0.442307, -0.083316, 0.798309, -0.118831, -0.184357, 0.057432, -0.313404, 0.000000, 0.000000], [-0.539503, 0.426000, -0.346694, -0.010931, 0.049292, -0.444162, 0.454125, -0.034725, 0.000000, 0.000000], [-0.111944, 0.115708, -0.335662, 0.338615, 0.693945, 0.363503, -0.185412, 0.314133, 0.000000, 0.000000], [-0.039654, -0.073425, 0.081610, 0.192415, -0.374793, 0.380281, 0.547491, 0.603756, 0.000000, 0.000000]]
fourier: [[41.168713, 41.390245, 42.414146, 42.890593, 43.485811], [22.299164, 26.023803, 26.720064, 27.767757, 252.286239], [23.417791, 26.165653, 26.893269, 28.688198, 135.351639], [60.141679, 62.086760, 62.393788, 63.574836, 69.510201], [16.768493, 16.909135, 17.393526, 19.888625, 139.942467], [49.122217, 52.659604, 55.426442, 56.057439, 109.062758], [9.654723, 10.698579, 12.144498, 12.542012, 31.500923], [4.266266, 4.291217, 4.494652, 5.140398, 18.758608]]
### 4
mean: [-2.339151, -1.358078, -2.272949, -1.313999, -2.068221, 0.054112, 3.747560, 0.208905]
std: [1.075530, 1.174955, 1.038126, 0.626561, 1.200836, 2.242101, 3.182068, 2.343119]
pca: [[-0.123174, -0.396698, -0.621254, -0.110547, 0.161228, -0.347028, -0.007855, 0.531787, 0.000000, 0.000000], [0.191040, -0.346713, -0.105004, -0.209493, -0.018994, 0.207805, 0.832667, -0.226942, 0.000000, 0.000000], [-0.139941, -0.358792, 0.266334, -0.428110, 0.155864, 0.644710, -0.269287, 0.291570, 0.000000, 0.000000], [-0.094076, -0.197999, -0.150518, 0.683923, -0.486316, 0.419489, 0.036013, 0.218560, 0.000000, 0.000000], [0.159893, -0.411411, 0.686683, 0.231688, 0.034525, -0.416562, 0.123413, 0.300027, 0.000000, 0.000000], [-0.479221, 0.213410, 0.072035, 0.361450, 0.682214, 0.143118, 0.305539, 0.098562, 0.000000, 0.000000], [0.660385, 0.447164, -0.036217, 0.014616, 0.141740, 0.196653, 0.133648, 0.534590, 0.000000, 0.000000], [-0.478091, 0.373802, 0.177182, -0.329127, -0.475551, -0.109948, 0.326104, 0.383929, 0.000000, 0.000000]]
fourier: [[16.397878, 16.527321, 18.793940, 22.539013, 210.523554], [20.011805, 20.263646, 20.548529, 21.506177, 122.226968], [15.363358, 15.371182, 15.672853, 18.073179, 204.565356], [9.775488, 9.893939, 10.428990, 10.675294, 118.259929], [20.345904, 21.134441, 21.835166, 22.979342, 186.139889], [38.269488, 39.621257, 40.734080, 40.763681, 41.956747], [47.862694, 52.132181, 52.817306, 53.469235, 337.280384], [40.319485, 41.678281, 41.875041, 42.511176, 44.030161]]
### 6
mean: [0.330460, 0.189952, 0.737251, 1.388559, 2.157633, -1.835139, -0.412909, -0.583798]
std: [1.595605, 1.460127, 2.143699, 1.359778, 2.583290, 1.277031, 1.225116, 0.446593]
pca: [[-0.343130, -0.435966, 0.071535, 0.759782, 0.075186, 0.096321, 0.303310, 0.053676, 0.000000, 0.000000], [-0.318808, -0.287578, 0.329845, -0.460797, -0.290741, 0.604035, 0.157483, 0.142615, 0.000000, 0.000000], [0.475006, 0.119633, 0.318157, 0.168552, -0.146931, -0.021195, 0.118798, 0.770891, 0.000000, 0.000000], [0.299828, -0.166585, -0.459306, -0.245538, 0.240199, 0.060653, 0.741227, 0.017574, 0.000000, 0.000000], [0.569883, -0.305209, 0.403177, 0.081849, -0.298958, -0.037642, 0.091071, -0.560128, 0.000000, 0.000000], [-0.251507, 0.653053, 0.137191, 0.109151, -0.410522, -0.101232, 0.515429, -0.187317, 0.000000, 0.000000], [0.267317, 0.245926, -0.424558, 0.318546, -0.211149, 0.703599, -0.197487, -0.087774, 0.000000, 0.000000], [0.074928, 0.324129, 0.460735, 0.040163, 0.726667, 0.339145, 0.081905, -0.160199, 0.000000, 0.000000]]
fourier: [[28.646842, 28.710560, 29.159159, 29.741392, 30.019774], [24.638532, 25.664027, 26.643729, 26.817058, 27.320658], [35.635301, 39.081921, 39.102330, 39.431252, 66.352613], [21.433266, 23.524803, 24.433261, 24.840318, 124.970309], [41.113805, 44.673853, 46.206554, 47.063676, 194.186976], [18.305655, 20.492065, 20.535978, 21.254603, 165.162545], [21.571969, 22.361224, 22.529525, 22.942579, 37.161843], [7.685017, 7.804422, 8.151354, 8.177440, 52.541828]]
### 8
mean: [-2.337052]
std: [2.330201]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.229957, 37.399067, 41.502837, 41.582142, 210.334657]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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"network.0.bias": [
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"network.2.bias": [
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"network.6.weight": [
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[
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"network.8.bias": [
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}
## Activation Signature
### 0
mean: [0.982490, 1.074851, -2.031441, -1.813394, 1.243870, 1.937924, 1.316273, 0.608947]
std: [1.828555, 2.293848, 1.206749, 1.253376, 1.498665, 1.486943, 1.530594, 1.434026]
pca: [[-0.229259, 0.378106, 0.840269, 0.145857, -0.111353, 0.141056, 0.085601, -0.193715, 0.000000, 0.000000], [0.669624, 0.023906, 0.194585, -0.097641, 0.214975, -0.051326, 0.656586, 0.153888, 0.000000, 0.000000], [-0.062430, -0.438369, 0.328027, 0.080767, 0.768845, -0.009363, -0.287584, 0.126076, 0.000000, 0.000000], [-0.233549, -0.373118, 0.225024, -0.083956, -0.395932, 0.019771, 0.125971, 0.758638, 0.000000, 0.000000], [0.391611, 0.195566, 0.031937, 0.701978, -0.128835, -0.295949, -0.359354, 0.285100, 0.000000, 0.000000], [-0.086803, 0.588445, 0.003657, -0.497869, 0.236459, -0.400597, -0.204483, 0.374309, 0.000000, 0.000000], [-0.333912, 0.355167, -0.307045, 0.387311, 0.340420, 0.442224, 0.324776, 0.318032, 0.000000, 0.000000], [0.410135, 0.120096, 0.050368, -0.254879, -0.071446, 0.730318, -0.431932, 0.157583, 0.000000, 0.000000]]
fourier: [[29.780119, 30.740567, 31.687840, 32.700405, 88.424139], [38.713995, 40.130924, 40.136762, 42.181824, 96.736584], [20.002454, 21.356892, 21.874506, 23.304331, 182.829713], [18.831709, 20.770324, 24.988151, 26.469528, 163.205485], [23.721535, 25.058839, 27.660533, 29.324208, 111.948287], [22.400825, 22.428446, 23.512407, 26.622458, 174.413099], [21.642217, 22.434011, 27.324101, 27.866174, 118.464555], [23.948167, 24.026144, 24.410593, 26.103720, 54.805248]]
### 2
mean: [0.428584, 2.803180, 1.503907, 0.772336, -1.554916, 1.211808, 0.350010, -0.208429]
std: [2.358361, 1.455516, 1.619807, 3.457810, 0.996360, 3.026023, 0.676525, 0.266023]
pca: [[0.431939, 0.164001, -0.158641, -0.012896, 0.169324, 0.372707, 0.542172, -0.547419, 0.000000, 0.000000], [0.162095, 0.611269, 0.632478, 0.417561, 0.078926, -0.134790, -0.026478, 0.024321, 0.000000, 0.000000], [-0.266051, 0.400719, -0.242866, 0.123291, -0.521750, 0.464842, -0.381915, -0.245552, 0.000000, 0.000000], [0.633015, 0.207332, -0.518993, 0.145516, -0.233017, -0.344713, -0.125846, 0.277157, 0.000000, 0.000000], [-0.102451, -0.442307, -0.083316, 0.798309, -0.118831, -0.184357, 0.057432, -0.313404, 0.000000, 0.000000], [-0.539503, 0.426000, -0.346694, -0.010931, 0.049292, -0.444162, 0.454125, -0.034725, 0.000000, 0.000000], [-0.111944, 0.115708, -0.335662, 0.338615, 0.693945, 0.363503, -0.185412, 0.314133, 0.000000, 0.000000], [-0.039654, -0.073425, 0.081610, 0.192415, -0.374793, 0.380281, 0.547491, 0.603756, 0.000000, 0.000000]]
fourier: [[41.168713, 41.390245, 42.414146, 42.890593, 43.485811], [22.299164, 26.023803, 26.720064, 27.767757, 252.286239], [23.417791, 26.165653, 26.893269, 28.688198, 135.351639], [60.141679, 62.086760, 62.393788, 63.574836, 69.510201], [16.768493, 16.909135, 17.393526, 19.888625, 139.942467], [49.122217, 52.659604, 55.426442, 56.057439, 109.062758], [9.654723, 10.698579, 12.144498, 12.542012, 31.500923], [4.266266, 4.291217, 4.494652, 5.140398, 18.758608]]
### 4
mean: [-2.339151, -1.358078, -2.272949, -1.313999, -2.068221, 0.054112, 3.747560, 0.208905]
std: [1.075530, 1.174955, 1.038126, 0.626561, 1.200836, 2.242101, 3.182068, 2.343119]
pca: [[-0.123174, -0.396698, -0.621254, -0.110547, 0.161228, -0.347028, -0.007855, 0.531787, 0.000000, 0.000000], [0.191040, -0.346713, -0.105004, -0.209493, -0.018994, 0.207805, 0.832667, -0.226942, 0.000000, 0.000000], [-0.139941, -0.358792, 0.266334, -0.428110, 0.155864, 0.644710, -0.269287, 0.291570, 0.000000, 0.000000], [-0.094076, -0.197999, -0.150518, 0.683923, -0.486316, 0.419489, 0.036013, 0.218560, 0.000000, 0.000000], [0.159893, -0.411411, 0.686683, 0.231688, 0.034525, -0.416562, 0.123413, 0.300027, 0.000000, 0.000000], [-0.479221, 0.213410, 0.072035, 0.361450, 0.682214, 0.143118, 0.305539, 0.098562, 0.000000, 0.000000], [0.660385, 0.447164, -0.036217, 0.014616, 0.141740, 0.196653, 0.133648, 0.534590, 0.000000, 0.000000], [-0.478091, 0.373802, 0.177182, -0.329127, -0.475551, -0.109948, 0.326104, 0.383929, 0.000000, 0.000000]]
fourier: [[16.397878, 16.527321, 18.793940, 22.539013, 210.523554], [20.011805, 20.263646, 20.548529, 21.506177, 122.226968], [15.363358, 15.371182, 15.672853, 18.073179, 204.565356], [9.775488, 9.893939, 10.428990, 10.675294, 118.259929], [20.345904, 21.134441, 21.835166, 22.979342, 186.139889], [38.269488, 39.621257, 40.734080, 40.763681, 41.956747], [47.862694, 52.132181, 52.817306, 53.469235, 337.280384], [40.319485, 41.678281, 41.875041, 42.511176, 44.030161]]
### 6
mean: [0.330460, 0.189952, 0.737251, 1.388559, 2.157633, -1.835139, -0.412909, -0.583798]
std: [1.595605, 1.460127, 2.143699, 1.359778, 2.583290, 1.277031, 1.225116, 0.446593]
pca: [[-0.343130, -0.435966, 0.071535, 0.759782, 0.075186, 0.096321, 0.303310, 0.053676, 0.000000, 0.000000], [-0.318808, -0.287578, 0.329845, -0.460797, -0.290741, 0.604035, 0.157483, 0.142615, 0.000000, 0.000000], [0.475006, 0.119633, 0.318157, 0.168552, -0.146931, -0.021195, 0.118798, 0.770891, 0.000000, 0.000000], [0.299828, -0.166585, -0.459306, -0.245538, 0.240199, 0.060653, 0.741227, 0.017574, 0.000000, 0.000000], [0.569883, -0.305209, 0.403177, 0.081849, -0.298958, -0.037642, 0.091071, -0.560128, 0.000000, 0.000000], [-0.251507, 0.653053, 0.137191, 0.109151, -0.410522, -0.101232, 0.515429, -0.187317, 0.000000, 0.000000], [0.267317, 0.245926, -0.424558, 0.318546, -0.211149, 0.703599, -0.197487, -0.087774, 0.000000, 0.000000], [0.074928, 0.324129, 0.460735, 0.040163, 0.726667, 0.339145, 0.081905, -0.160199, 0.000000, 0.000000]]
fourier: [[28.646842, 28.710560, 29.159159, 29.741392, 30.019774], [24.638532, 25.664027, 26.643729, 26.817058, 27.320658], [35.635301, 39.081921, 39.102330, 39.431252, 66.352613], [21.433266, 23.524803, 24.433261, 24.840318, 124.970309], [41.113805, 44.673853, 46.206554, 47.063676, 194.186976], [18.305655, 20.492065, 20.535978, 21.254603, 165.162545], [21.571969, 22.361224, 22.529525, 22.942579, 37.161843], [7.685017, 7.804422, 8.151354, 8.177440, 52.541828]]
### 8
mean: [-2.337052]
std: [2.330201]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.229957, 37.399067, 41.502837, 41.582142, 210.334657]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6870992481708527, "train_acc": 0.565, "val_loss": 0.6779710650444031, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6830607652664185, "train_acc": 0.565, "val_loss": 0.5760587453842163, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5035691112279892, "train_acc": 0.66, "val_loss": 0.24675479531288147, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.348623663187027, "train_acc": 0.865, "val_loss": 0.357362300157547, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.41420090198516846, "train_acc": 0.905, "val_loss": 0.4923257529735565, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4090352803468704, "train_acc": 0.885, "val_loss": 0.22189684212207794, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.22744528949260712, "train_acc": 0.91, "val_loss": 0.26211464405059814, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.25537891685962677, "train_acc": 0.905, "val_loss": 0.2157231718301773, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.21335452795028687, "train_acc": 0.925, "val_loss": 0.21034477651119232, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.22620558738708496, "train_acc": 0.92, "val_loss": 0.2183857560157776, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.22678439319133759, "train_acc": 0.92, "val_loss": 0.2184741050004959, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.2076336368918419, "train_acc": 0.92, "val_loss": 0.20056971907615662, "val_acc": 0.9}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6779710650444031, "final_val_loss": 0.5760587453842163, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.24675479531288147, "final_val_loss": 0.20056971907615662, "initial_val_acc": 0.88, "final_val_acc": 0.9, "best_val_acc": 0.92, "best_epoch": 7}, "improvement": 0.36, "first_improvement_epoch": 1}}
|
198
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.5, "improved_accuracy": 0.88, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3085, "learning_rate": 0.07808356965424759, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.090347
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[
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[
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[
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[
1.11167,
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[
1.503539,
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1.013492,
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"network.6.weight": [
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"network.8.weight": [
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],
[
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1.006918,
1.012036,
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[
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[
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[
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[
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]
],
"network.8.bias": [
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0.256226,
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0.058724,
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],
"network.10.weight": [
[
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0.209098,
0.026905,
-0.959072,
-0.453426,
0.18494,
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]
],
"network.10.bias": [
1.27053
]
}
## Activation Signature
### 0
mean: [2.549047, -1.040123, -2.425967, -0.226720, 3.269613, 3.625552, 4.076283, -2.383826]
std: [2.750412, 3.387204, 1.631958, 1.610620, 3.247442, 3.285924, 3.903056, 1.776867]
pca: [[0.323267, 0.449715, 0.470943, -0.256341, 0.108587, -0.401764, -0.169283, 0.451546, 0.000000, 0.000000], [-0.415823, 0.518796, -0.007027, -0.106242, 0.633431, 0.334158, 0.172732, -0.062234, 0.000000, 0.000000], [-0.155247, -0.326097, 0.525396, 0.039716, -0.110973, 0.396650, 0.457416, 0.461590, 0.000000, 0.000000], [-0.179571, 0.118493, -0.120275, 0.853935, 0.106999, -0.276977, 0.001381, 0.349108, 0.000000, 0.000000], [0.437666, -0.209023, -0.050587, 0.029499, 0.442400, -0.331533, 0.646367, -0.194697, 0.000000, 0.000000], [0.436166, -0.232642, -0.372982, -0.026873, 0.379508, 0.412821, -0.310094, 0.452983, 0.000000, 0.000000], [0.516273, 0.338426, 0.304126, 0.415978, -0.131947, 0.450249, -0.023794, -0.364280, 0.000000, 0.000000], [-0.133836, -0.442586, 0.503477, 0.132629, 0.453934, -0.099079, -0.466649, -0.285468, 0.000000, 0.000000]]
fourier: [[45.681172, 45.932251, 46.482130, 46.943795, 229.414252], [51.687986, 53.955411, 56.398587, 62.724139, 93.611025], [27.171681, 27.318831, 27.885930, 33.553541, 218.337020], [26.909843, 27.300748, 27.444670, 30.008378, 34.450265], [51.353487, 53.490340, 60.925349, 61.726645, 294.265203], [53.951797, 54.383055, 60.794481, 61.555556, 326.299739], [58.870367, 65.141834, 69.122456, 74.085228, 366.865481], [29.685207, 32.311975, 33.553907, 33.883950, 214.544317]]
### 2
mean: [0.269952, 8.958706, -1.282372, -4.754254, -5.426041, -9.917167, -3.131082, 3.499732]
std: [2.104676, 8.415406, 0.750842, 5.747125, 6.306410, 7.985869, 4.612197, 3.531499]
pca: [[0.099301, 0.766007, 0.154020, -0.112433, 0.291284, 0.126541, 0.156449, -0.491604, 0.000000, 0.000000], [0.540066, 0.215478, 0.404919, 0.599048, -0.268413, -0.070087, -0.115533, 0.220851, 0.000000, 0.000000], [-0.042907, 0.140743, -0.222846, 0.129087, 0.199618, 0.780027, -0.418940, 0.297030, 0.000000, 0.000000], [-0.368415, -0.183586, 0.335978, 0.224439, -0.428766, 0.498934, 0.367725, -0.315145, 0.000000, 0.000000], [-0.405403, -0.043551, 0.162143, 0.514399, 0.642775, -0.160293, 0.250748, 0.202798, 0.000000, 0.000000], [-0.509245, 0.548913, -0.267662, 0.095670, -0.452061, -0.224446, 0.003572, 0.322211, 0.000000, 0.000000], [-0.292918, 0.043360, 0.734714, -0.394448, 0.032618, -0.056620, -0.414768, 0.201550, 0.000000, 0.000000], [0.226747, 0.090597, 0.109724, -0.363477, 0.028949, 0.205970, 0.645386, 0.580033, 0.000000, 0.000000]]
fourier: [[33.287970, 34.317326, 34.725761, 36.371297, 42.241783], [139.173603, 148.670712, 152.552894, 155.979971, 806.283598], [12.930149, 13.162240, 14.121115, 14.587685, 115.413528], [94.151937, 98.904826, 101.227112, 107.898347, 427.882848], [100.496114, 110.312284, 112.329393, 115.688763, 488.343680], [120.525702, 144.121785, 145.146365, 146.647304, 892.544971], [73.819109, 78.072198, 78.633910, 89.554614, 281.797342], [56.791988, 62.115694, 63.686049, 63.926852, 314.975911]]
### 4
mean: [-3.532441, -2.334371, -0.626515, 8.850921, -9.294538, -2.935084, 1.089873, -1.897464]
std: [2.849244, 3.478964, 2.213408, 8.472827, 7.841611, 2.091567, 1.825453, 1.560759]
pca: [[-0.219383, -0.213259, 0.254929, -0.063662, -0.487918, 0.679675, -0.367518, -0.047532, 0.000000, 0.000000], [-0.264990, 0.486506, 0.137136, 0.033745, -0.077963, 0.236389, 0.574416, -0.530316, 0.000000, 0.000000], [-0.158152, 0.632671, 0.166887, 0.116346, -0.015699, 0.113525, -0.039457, 0.720164, 0.000000, 0.000000], [0.657108, -0.209631, 0.078710, 0.242749, -0.043149, 0.393714, 0.496925, 0.235232, 0.000000, 0.000000], [-0.606297, -0.495833, -0.010617, -0.118515, 0.125983, 0.017777, 0.483094, 0.350467, 0.000000, 0.000000], [-0.161010, -0.100412, 0.265898, 0.626407, 0.628371, 0.200236, -0.215548, -0.139640, 0.000000, 0.000000], [0.129873, -0.076458, 0.894393, -0.295883, 0.042186, -0.293380, 0.041768, -0.014315, 0.000000, 0.000000], [-0.120256, -0.108790, 0.106792, 0.654497, -0.584164, -0.433338, 0.070001, -0.001909, 0.000000, 0.000000]]
fourier: [[45.524982, 49.637158, 51.217646, 51.885489, 317.919713], [56.447080, 62.305426, 64.425543, 67.398658, 210.093339], [34.749225, 38.885819, 40.280238, 43.358511, 56.386370], [138.398213, 151.220303, 153.519936, 159.089934, 796.582863], [127.376449, 137.678072, 138.936216, 141.779810, 836.508472], [34.867326, 35.692608, 37.299669, 37.869765, 264.157525], [28.290580, 29.799486, 30.659420, 31.825148, 98.088563], [25.294672, 26.367520, 27.064978, 28.283014, 170.771773]]
### 6
mean: [-1.969064, 7.663029, -1.737717, 8.354717, 2.146931, 8.980200, -0.132592, -4.849928]
std: [1.172050, 6.420599, 1.305957, 8.395522, 4.295814, 8.257812, 2.349832, 3.915038]
pca: [[-0.070229, 0.232158, 0.248002, -0.253739, -0.042182, 0.746024, -0.169183, -0.477837, 0.000000, 0.000000], [0.435002, -0.201002, 0.242277, 0.611521, -0.492862, 0.208073, -0.211379, 0.082629, 0.000000, 0.000000], [-0.078955, 0.227215, 0.776501, -0.298691, -0.243568, -0.184396, 0.172916, 0.356009, 0.000000, 0.000000], [0.570065, 0.112527, -0.339466, -0.485367, -0.097516, 0.256634, -0.058528, 0.482441, 0.000000, 0.000000], [0.270806, 0.681046, -0.126130, 0.281804, -0.049192, -0.049732, 0.568492, -0.198600, 0.000000, 0.000000], [0.559901, -0.217634, 0.378283, -0.004955, 0.676376, -0.061677, 0.073729, -0.171171, 0.000000, 0.000000], [-0.138213, -0.500150, -0.014577, 0.001928, -0.047435, 0.401773, 0.740121, 0.138134, 0.000000, 0.000000], [-0.262118, 0.282973, 0.048858, 0.396761, 0.473623, 0.364132, -0.130279, 0.563498, 0.000000, 0.000000]]
fourier: [[18.557899, 20.121975, 21.317103, 21.470973, 177.215730], [105.381776, 113.539367, 115.384049, 118.696976, 689.672662], [20.852143, 21.807012, 22.713241, 23.886262, 156.394560], [135.712848, 150.495997, 153.454065, 160.486718, 751.924562], [67.153659, 75.609308, 77.541023, 84.615643, 193.223816], [135.153708, 146.358631, 149.506361, 153.605417, 808.218063], [36.041811, 39.772644, 40.130443, 41.047318, 45.539975], [63.941266, 68.333632, 68.341662, 69.715992, 436.493539]]
### 8
mean: [-6.247862, 8.488623, -4.767245, 16.304350, 16.759590, 7.342113, -8.178725, 8.296024]
std: [5.020757, 8.243175, 3.755296, 15.526340, 14.782720, 7.212064, 6.518675, 8.324406]
pca: [[-0.183992, 0.454457, 0.248954, 0.048720, 0.363737, 0.309270, 0.588152, -0.348409, 0.000000, 0.000000], [0.304953, 0.307978, -0.122277, -0.282524, 0.088504, 0.379191, 0.118474, 0.742784, 0.000000, 0.000000], [-0.138691, 0.191519, -0.026814, 0.616782, -0.275689, -0.421395, 0.393708, 0.392890, 0.000000, 0.000000], [0.575317, 0.222917, -0.494940, -0.119227, -0.341274, -0.123825, 0.269542, -0.394568, 0.000000, 0.000000], [0.547678, -0.257758, 0.652283, -0.140240, 0.110809, -0.335426, 0.246328, 0.054802, 0.000000, 0.000000], [0.266267, 0.386266, -0.137309, 0.268067, 0.636294, -0.337795, -0.411626, -0.027833, 0.000000, 0.000000], [-0.238880, 0.590579, 0.303048, -0.456624, -0.339646, -0.350707, -0.235095, -0.013586, 0.000000, 0.000000], [0.308242, 0.218684, 0.375794, 0.472376, -0.367263, 0.466956, -0.356370, -0.113467, 0.000000, 0.000000]]
fourier: [[83.175772, 84.747692, 86.630769, 87.556710, 562.307665], [135.216147, 145.846077, 148.089630, 155.621589, 763.976065], [61.956889, 65.627614, 65.982067, 67.784676, 429.052016], [256.241446, 273.954575, 275.896377, 289.671894, 1467.391427], [243.177772, 260.804841, 264.488646, 273.292031, 1508.363043], [118.015801, 127.749506, 129.573612, 136.955749, 660.790241], [108.079840, 109.811046, 112.582767, 113.688117, 736.085257], [136.229757, 147.710621, 150.747811, 157.312427, 746.642237]]
### 10
mean: [-21.645596]
std: [20.678509]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[343.568377, 361.798165, 364.254111, 378.764121, 1948.103535]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.05511,
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0.656486,
0.090347
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[
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[
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-0.056676,
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[
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[
1.11167,
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[
1.503539,
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[
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"network.0.bias": [
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1.013492,
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0.428014,
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0.005643
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[
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0.127507,
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0.581083,
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]
],
"network.2.bias": [
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0.592415,
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[
0.017708,
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0.318375,
0.782662,
0.487582,
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0.045338
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[
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0.838884,
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0.07212,
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"network.4.bias": [
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"network.6.weight": [
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0.002594,
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0.012627,
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],
"network.6.bias": [
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"network.8.weight": [
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-0.440308,
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[
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0.238594,
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0.048609,
0.015039,
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],
[
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0.831662,
0.335481,
1.006918,
1.012036,
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],
[
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],
[
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[
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],
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[
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0.18494,
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]
],
"network.10.bias": [
1.27053
]
}
## Activation Signature
### 0
mean: [2.549047, -1.040123, -2.425967, -0.226720, 3.269613, 3.625552, 4.076283, -2.383826]
std: [2.750412, 3.387204, 1.631958, 1.610620, 3.247442, 3.285924, 3.903056, 1.776867]
pca: [[0.323267, 0.449715, 0.470943, -0.256341, 0.108587, -0.401764, -0.169283, 0.451546, 0.000000, 0.000000], [-0.415823, 0.518796, -0.007027, -0.106242, 0.633431, 0.334158, 0.172732, -0.062234, 0.000000, 0.000000], [-0.155247, -0.326097, 0.525396, 0.039716, -0.110973, 0.396650, 0.457416, 0.461590, 0.000000, 0.000000], [-0.179571, 0.118493, -0.120275, 0.853935, 0.106999, -0.276977, 0.001381, 0.349108, 0.000000, 0.000000], [0.437666, -0.209023, -0.050587, 0.029499, 0.442400, -0.331533, 0.646367, -0.194697, 0.000000, 0.000000], [0.436166, -0.232642, -0.372982, -0.026873, 0.379508, 0.412821, -0.310094, 0.452983, 0.000000, 0.000000], [0.516273, 0.338426, 0.304126, 0.415978, -0.131947, 0.450249, -0.023794, -0.364280, 0.000000, 0.000000], [-0.133836, -0.442586, 0.503477, 0.132629, 0.453934, -0.099079, -0.466649, -0.285468, 0.000000, 0.000000]]
fourier: [[45.681172, 45.932251, 46.482130, 46.943795, 229.414252], [51.687986, 53.955411, 56.398587, 62.724139, 93.611025], [27.171681, 27.318831, 27.885930, 33.553541, 218.337020], [26.909843, 27.300748, 27.444670, 30.008378, 34.450265], [51.353487, 53.490340, 60.925349, 61.726645, 294.265203], [53.951797, 54.383055, 60.794481, 61.555556, 326.299739], [58.870367, 65.141834, 69.122456, 74.085228, 366.865481], [29.685207, 32.311975, 33.553907, 33.883950, 214.544317]]
### 2
mean: [0.269952, 8.958706, -1.282372, -4.754254, -5.426041, -9.917167, -3.131082, 3.499732]
std: [2.104676, 8.415406, 0.750842, 5.747125, 6.306410, 7.985869, 4.612197, 3.531499]
pca: [[0.099301, 0.766007, 0.154020, -0.112433, 0.291284, 0.126541, 0.156449, -0.491604, 0.000000, 0.000000], [0.540066, 0.215478, 0.404919, 0.599048, -0.268413, -0.070087, -0.115533, 0.220851, 0.000000, 0.000000], [-0.042907, 0.140743, -0.222846, 0.129087, 0.199618, 0.780027, -0.418940, 0.297030, 0.000000, 0.000000], [-0.368415, -0.183586, 0.335978, 0.224439, -0.428766, 0.498934, 0.367725, -0.315145, 0.000000, 0.000000], [-0.405403, -0.043551, 0.162143, 0.514399, 0.642775, -0.160293, 0.250748, 0.202798, 0.000000, 0.000000], [-0.509245, 0.548913, -0.267662, 0.095670, -0.452061, -0.224446, 0.003572, 0.322211, 0.000000, 0.000000], [-0.292918, 0.043360, 0.734714, -0.394448, 0.032618, -0.056620, -0.414768, 0.201550, 0.000000, 0.000000], [0.226747, 0.090597, 0.109724, -0.363477, 0.028949, 0.205970, 0.645386, 0.580033, 0.000000, 0.000000]]
fourier: [[33.287970, 34.317326, 34.725761, 36.371297, 42.241783], [139.173603, 148.670712, 152.552894, 155.979971, 806.283598], [12.930149, 13.162240, 14.121115, 14.587685, 115.413528], [94.151937, 98.904826, 101.227112, 107.898347, 427.882848], [100.496114, 110.312284, 112.329393, 115.688763, 488.343680], [120.525702, 144.121785, 145.146365, 146.647304, 892.544971], [73.819109, 78.072198, 78.633910, 89.554614, 281.797342], [56.791988, 62.115694, 63.686049, 63.926852, 314.975911]]
### 4
mean: [-3.532441, -2.334371, -0.626515, 8.850921, -9.294538, -2.935084, 1.089873, -1.897464]
std: [2.849244, 3.478964, 2.213408, 8.472827, 7.841611, 2.091567, 1.825453, 1.560759]
pca: [[-0.219383, -0.213259, 0.254929, -0.063662, -0.487918, 0.679675, -0.367518, -0.047532, 0.000000, 0.000000], [-0.264990, 0.486506, 0.137136, 0.033745, -0.077963, 0.236389, 0.574416, -0.530316, 0.000000, 0.000000], [-0.158152, 0.632671, 0.166887, 0.116346, -0.015699, 0.113525, -0.039457, 0.720164, 0.000000, 0.000000], [0.657108, -0.209631, 0.078710, 0.242749, -0.043149, 0.393714, 0.496925, 0.235232, 0.000000, 0.000000], [-0.606297, -0.495833, -0.010617, -0.118515, 0.125983, 0.017777, 0.483094, 0.350467, 0.000000, 0.000000], [-0.161010, -0.100412, 0.265898, 0.626407, 0.628371, 0.200236, -0.215548, -0.139640, 0.000000, 0.000000], [0.129873, -0.076458, 0.894393, -0.295883, 0.042186, -0.293380, 0.041768, -0.014315, 0.000000, 0.000000], [-0.120256, -0.108790, 0.106792, 0.654497, -0.584164, -0.433338, 0.070001, -0.001909, 0.000000, 0.000000]]
fourier: [[45.524982, 49.637158, 51.217646, 51.885489, 317.919713], [56.447080, 62.305426, 64.425543, 67.398658, 210.093339], [34.749225, 38.885819, 40.280238, 43.358511, 56.386370], [138.398213, 151.220303, 153.519936, 159.089934, 796.582863], [127.376449, 137.678072, 138.936216, 141.779810, 836.508472], [34.867326, 35.692608, 37.299669, 37.869765, 264.157525], [28.290580, 29.799486, 30.659420, 31.825148, 98.088563], [25.294672, 26.367520, 27.064978, 28.283014, 170.771773]]
### 6
mean: [-1.969064, 7.663029, -1.737717, 8.354717, 2.146931, 8.980200, -0.132592, -4.849928]
std: [1.172050, 6.420599, 1.305957, 8.395522, 4.295814, 8.257812, 2.349832, 3.915038]
pca: [[-0.070229, 0.232158, 0.248002, -0.253739, -0.042182, 0.746024, -0.169183, -0.477837, 0.000000, 0.000000], [0.435002, -0.201002, 0.242277, 0.611521, -0.492862, 0.208073, -0.211379, 0.082629, 0.000000, 0.000000], [-0.078955, 0.227215, 0.776501, -0.298691, -0.243568, -0.184396, 0.172916, 0.356009, 0.000000, 0.000000], [0.570065, 0.112527, -0.339466, -0.485367, -0.097516, 0.256634, -0.058528, 0.482441, 0.000000, 0.000000], [0.270806, 0.681046, -0.126130, 0.281804, -0.049192, -0.049732, 0.568492, -0.198600, 0.000000, 0.000000], [0.559901, -0.217634, 0.378283, -0.004955, 0.676376, -0.061677, 0.073729, -0.171171, 0.000000, 0.000000], [-0.138213, -0.500150, -0.014577, 0.001928, -0.047435, 0.401773, 0.740121, 0.138134, 0.000000, 0.000000], [-0.262118, 0.282973, 0.048858, 0.396761, 0.473623, 0.364132, -0.130279, 0.563498, 0.000000, 0.000000]]
fourier: [[18.557899, 20.121975, 21.317103, 21.470973, 177.215730], [105.381776, 113.539367, 115.384049, 118.696976, 689.672662], [20.852143, 21.807012, 22.713241, 23.886262, 156.394560], [135.712848, 150.495997, 153.454065, 160.486718, 751.924562], [67.153659, 75.609308, 77.541023, 84.615643, 193.223816], [135.153708, 146.358631, 149.506361, 153.605417, 808.218063], [36.041811, 39.772644, 40.130443, 41.047318, 45.539975], [63.941266, 68.333632, 68.341662, 69.715992, 436.493539]]
### 8
mean: [-6.247862, 8.488623, -4.767245, 16.304350, 16.759590, 7.342113, -8.178725, 8.296024]
std: [5.020757, 8.243175, 3.755296, 15.526340, 14.782720, 7.212064, 6.518675, 8.324406]
pca: [[-0.183992, 0.454457, 0.248954, 0.048720, 0.363737, 0.309270, 0.588152, -0.348409, 0.000000, 0.000000], [0.304953, 0.307978, -0.122277, -0.282524, 0.088504, 0.379191, 0.118474, 0.742784, 0.000000, 0.000000], [-0.138691, 0.191519, -0.026814, 0.616782, -0.275689, -0.421395, 0.393708, 0.392890, 0.000000, 0.000000], [0.575317, 0.222917, -0.494940, -0.119227, -0.341274, -0.123825, 0.269542, -0.394568, 0.000000, 0.000000], [0.547678, -0.257758, 0.652283, -0.140240, 0.110809, -0.335426, 0.246328, 0.054802, 0.000000, 0.000000], [0.266267, 0.386266, -0.137309, 0.268067, 0.636294, -0.337795, -0.411626, -0.027833, 0.000000, 0.000000], [-0.238880, 0.590579, 0.303048, -0.456624, -0.339646, -0.350707, -0.235095, -0.013586, 0.000000, 0.000000], [0.308242, 0.218684, 0.375794, 0.472376, -0.367263, 0.466956, -0.356370, -0.113467, 0.000000, 0.000000]]
fourier: [[83.175772, 84.747692, 86.630769, 87.556710, 562.307665], [135.216147, 145.846077, 148.089630, 155.621589, 763.976065], [61.956889, 65.627614, 65.982067, 67.784676, 429.052016], [256.241446, 273.954575, 275.896377, 289.671894, 1467.391427], [243.177772, 260.804841, 264.488646, 273.292031, 1508.363043], [118.015801, 127.749506, 129.573612, 136.955749, 660.790241], [108.079840, 109.811046, 112.582767, 113.688117, 736.085257], [136.229757, 147.710621, 150.747811, 157.312427, 746.642237]]
### 10
mean: [-21.645596]
std: [20.678509]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[343.568377, 361.798165, 364.254111, 378.764121, 1948.103535]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.226526, 0.05511, -0.347301, 0.656486, 0.090347], [-1.007427, -0.990571, -0.262482, 0.431855, 0.508638], [-0.275084, -0.149966, -0.266104, -0.422993, -0.320086], [-0.72112, -0.056676, -0.009028, 0.217581, -0.082538], [1.249739, 0.410934, 0.44886, 0.172275, -0.522728], [1.11167, 0.499641, 0.641774, 0.101296, -0.405088], [1.503539, 0.653457, -0.150549, 0.726962, -0.211749], [-0.173954, -0.329964, -0.029102, -0.358033, -0.602556]], "network.0.bias": [0.12853, 1.013492, 0.047349, 0.428014, 0.303214, 0.273476, 0.031177, 0.005643], "network.2.weight": [[-0.596926, -0.67275, -0.321527, -0.160177, 0.117529, 0.294495, 0.36072, -0.003255], [0.488429, -0.634032, 0.067558, 0.525186, 0.709239, 0.497201, 0.881822, 0.179191], [-0.178137, -0.240912, -0.070671, -0.055322, 0.011617, -0.199184, 0.051377, -0.296484], [-0.001678, 0.73129, 0.211736, 0.269536, -0.174257, -0.07374, -1.201256, 0.110048], [-0.22779, 0.51931, -0.058628, 0.527543, -0.235146, -0.153282, -1.117985, -0.301567], [-0.769374, -0.199234, 0.098225, -0.382659, -0.484679, -0.329864, -0.989608, 0.079733], [-0.307261, 0.853099, -0.208864, 0.127507, -0.222449, 0.371881, -1.006561, 0.118151], [0.013096, -0.175943, -0.129292, -0.176811, 0.155342, 0.23182, 0.581083, 0.490174]], "network.2.bias": [-0.506761, 0.064243, -0.118514, 0.352751, 0.474547, -0.641585, 0.4998, -0.071], "network.4.weight": [[0.268061, -0.244739, 0.107158, -0.279056, 0.112176, -0.083752, -0.330685, -0.352992], [-0.04341, -0.326911, 0.034404, 0.619966, 0.49779, 0.124115, 0.592415, -0.046736], [0.017708, -0.195687, 0.318375, 0.782662, 0.487582, 0.158561, 0.799036, 0.045338], [0.458346, 0.838884, -0.132775, -0.409577, -0.595002, -0.227675, -0.175984, 0.186205], [-0.232156, -0.798689, 0.092147, -0.515434, 0.0467, -0.574522, -0.645541, -0.345312], [0.232294, -0.276334, -0.118063, -0.143916, -0.316499, -0.348354, 0.07212, -0.021043], [1.194533, -0.003882, -0.062861, -0.281267, -0.087159, -0.081601, -0.159934, 0.073959], [0.118797, -0.007881, -0.167691, 0.00937, -0.194356, -0.399854, -0.094929, -0.480796]], "network.4.bias": [-0.17613, 0.343754, 0.371088, 0.481607, -0.31389, -0.553013, -0.164615, -0.178392], "network.6.weight": [[-0.052612, -0.218838, -0.273514, -0.146584, -0.123245, 0.265105, -0.083525, -0.312217], [0.089857, 0.213479, -0.196722, 0.788322, -0.129324, -0.207322, -0.107401, 0.418734], [-0.215904, -0.102024, -0.31034, -0.112353, -0.003696, -0.055013, -0.336305, 0.176684], [0.109173, -0.643234, -0.434474, 0.893698, -0.066822, 0.359632, 0.22374, 0.263472], [-0.139958, -0.788771, -1.312593, 0.281764, -0.540292, 0.060604, 0.213442, -0.10738], [0.063433, 0.018126, -0.13005, 1.014561, -0.360285, 0.128677, -0.172193, -0.083187], [-0.032903, 0.584921, 0.878511, -0.116596, 0.391017, 0.179351, -0.098018, 0.096857], [0.019015, -0.022369, -0.348473, -0.497923, 0.002594, -0.185685, 0.012627, -0.295738]], "network.6.bias": [-0.284946, 0.739507, -0.071463, 0.587524, 0.485621, 0.151358, 0.250751, -0.171431], "network.8.weight": [[-0.043643, 0.076413, -0.052625, -0.114472, -0.335381, -0.484138, -0.414858, -0.268391], [0.061815, 0.783966, -0.161102, 0.660581, 0.383154, -0.440308, -0.534612, 0.516999], [0.093454, -0.286559, 0.238594, -0.28826, 0.048609, 0.015039, -0.132307, -0.285729], [0.048384, 0.831662, 0.335481, 1.006918, 1.012036, -0.14667, -0.586461, -0.109144], [0.04885, 0.628254, -0.109041, 0.608347, 0.165823, 0.656234, -0.066391, 0.057999], [-0.246124, 0.884154, -0.039537, 0.479462, 0.499195, -0.518569, -0.604906, 0.518844], [0.112278, -0.336647, -0.011828, 0.007575, -0.536264, -0.403067, -0.527519, -0.237539], [-0.212931, 0.245019, -0.029768, 0.33414, 0.291989, 0.347471, -0.449862, 0.325515]], "network.8.bias": [-0.09326, -0.075572, -0.231803, -0.205255, 0.256226, -0.004933, 0.058724, -0.172112], "network.10.weight": [[-0.175647, 0.209098, 0.026905, -0.959072, -0.453426, 0.18494, -0.115882, -0.300739]], "network.10.bias": [1.27053]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7048928737640381, "train_acc": 0.465, "val_loss": 0.6932936310768127, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6399758756160736, "train_acc": 0.575, "val_loss": 0.5970741510391235, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5274051129817963, "train_acc": 0.59, "val_loss": 0.49922674894332886, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.44775286316871643, "train_acc": 0.84, "val_loss": 0.44648993015289307, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4438195377588272, "train_acc": 0.805, "val_loss": 0.43199631571769714, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.42228803038597107, "train_acc": 0.815, "val_loss": 0.4250534474849701, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3997850567102432, "train_acc": 0.82, "val_loss": 0.42091482877731323, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3968104422092438, "train_acc": 0.82, "val_loss": 0.4185395836830139, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3591562956571579, "train_acc": 0.855, "val_loss": 0.3939010500907898, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3466631919145584, "train_acc": 0.855, "val_loss": 0.4235121011734009, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.33843547105789185, "train_acc": 0.855, "val_loss": 0.37086939811706543, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.2931410223245621, "train_acc": 0.885, "val_loss": 0.3026498556137085, "val_acc": 0.88}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6932936310768127, "final_val_loss": 0.5970741510391235, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.49922674894332886, "final_val_loss": 0.3026498556137085, "initial_val_acc": 0.76, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 11}, "improvement": 0.38, "first_improvement_epoch": 1}}
|
199
|
{"target_pattern": "alternating", "degraded_accuracy": 0.64, "improved_accuracy": 1.0, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3540, "learning_rate": 0.04656787815959527, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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[
-0.153607,
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0.928095,
-0.060937,
0.482897,
0.637637
],
[
0.5452,
0.476346,
-0.04796,
-0.336458,
-0.214386,
-0.249113
],
[
0.588165,
1.145206,
-0.381438,
-0.775878,
-0.249788,
0.243927
]
],
"network.6.bias": [
0.31153,
-0.059487,
0.4471,
0.570073,
-0.006001,
0.14123
],
"network.8.weight": [
[
0.760354,
-0.617205,
0.477672,
0.480443,
-0.518897,
-0.608016
]
],
"network.8.bias": [
0.291863
]
}
## Activation Signature
### 0
mean: [0.078325, 0.373433, 0.784721, -0.451689, -2.162783, -4.449841]
std: [2.379633, 2.004057, 1.772177, 1.811218, 2.322912, 2.622589]
pca: [[0.640940, -0.178063, 0.161849, -0.445682, -0.066285, -0.572947, 0.000000, 0.000000, 0.000000, 0.000000], [-0.530023, 0.152625, 0.338346, -0.230727, -0.667125, -0.288119, 0.000000, 0.000000, 0.000000, 0.000000], [0.215888, -0.124315, 0.732145, -0.156323, -0.039369, 0.613119, 0.000000, 0.000000, 0.000000, 0.000000], [-0.352641, 0.319900, 0.273435, -0.394226, 0.711437, -0.192316, 0.000000, 0.000000, 0.000000, 0.000000], [0.238283, 0.498673, 0.404911, 0.665503, 0.027318, -0.294878, 0.000000, 0.000000, 0.000000, 0.000000], [0.283778, 0.760615, -0.290809, -0.354100, -0.205214, 0.298104, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.486181, 36.277255, 40.002856, 41.848566, 45.738104], [28.831965, 31.007168, 32.025087, 33.609011, 34.597947], [26.537682, 30.714038, 33.479669, 35.346690, 70.624873], [26.400623, 28.406048, 29.818495, 34.362332, 40.651993], [33.933765, 37.878393, 38.711767, 39.355329, 194.650464], [38.896491, 48.372266, 50.172827, 51.574653, 400.485662]]
### 2
mean: [0.679784, 2.175655, 1.179292, 2.220778, -0.278388, 0.908266]
std: [0.376535, 2.139457, 1.585995, 2.175021, 1.305061, 1.498207]
pca: [[0.060095, -0.129679, 0.198260, 0.214722, 0.808967, -0.489623, 0.000000, 0.000000, 0.000000, 0.000000], [0.611711, -0.096982, 0.005006, -0.558728, -0.220021, -0.505759, 0.000000, 0.000000, 0.000000, 0.000000], [0.417067, -0.242830, 0.453881, 0.655656, -0.362033, -0.011332, 0.000000, 0.000000, 0.000000, 0.000000], [0.623335, 0.011390, -0.126366, -0.071623, 0.401818, 0.654804, 0.000000, 0.000000, 0.000000, 0.000000], [-0.234405, -0.437813, 0.687324, -0.448621, 0.064243, 0.274904, 0.000000, 0.000000, 0.000000, 0.000000], [0.068999, 0.850295, 0.516021, -0.073769, 0.022587, -0.002819, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.834683, 6.773422, 6.967800, 8.012557, 61.180516], [34.510454, 35.653608, 37.870589, 39.952408, 195.808951], [24.444635, 24.509752, 26.858143, 34.425182, 106.136282], [34.509860, 36.803049, 37.315102, 40.615988, 199.869996], [20.777833, 21.277069, 23.876326, 25.054946, 25.487859], [20.759543, 20.953873, 26.252824, 34.801744, 81.743958]]
### 4
mean: [5.939136, 3.989017, -0.647139, -1.744182, -0.676828, -0.878072]
std: [5.290620, 3.501354, 1.603357, 1.227486, 1.618983, 1.286115]
pca: [[0.770197, 0.218603, -0.008911, 0.026096, 0.240768, -0.547977, 0.000000, 0.000000, 0.000000, 0.000000], [0.509732, 0.075760, 0.308670, 0.138331, 0.079919, 0.783348, 0.000000, 0.000000, 0.000000, 0.000000], [-0.211903, 0.581228, -0.206595, 0.750288, 0.106144, 0.019760, 0.000000, 0.000000, 0.000000, 0.000000], [-0.163284, -0.434003, 0.113313, 0.200807, 0.855249, -0.019140, 0.000000, 0.000000, 0.000000, 0.000000], [-0.223830, 0.273283, 0.905737, -0.015791, -0.025546, -0.232283, 0.000000, 0.000000, 0.000000, 0.000000], [-0.159076, 0.587881, -0.169596, -0.613741, 0.438491, 0.177129, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[73.846873, 87.290249, 90.578419, 101.272175, 534.522228], [50.816033, 59.174736, 60.157710, 65.601260, 359.011546], [22.302920, 26.109882, 32.602904, 34.912823, 58.242525], [18.497766, 19.202095, 19.886088, 27.434094, 156.976393], [23.083517, 25.068807, 26.659936, 32.126998, 60.914492], [17.757018, 20.167527, 27.077033, 28.168680, 79.026472]]
### 6
mean: [-1.794045, 4.156601, -4.187901, -1.147982, 5.033962, 8.053430]
std: [2.904423, 3.974579, 4.497665, 2.589567, 4.675953, 7.299053]
pca: [[-0.247587, 0.660856, 0.136158, -0.259711, -0.019998, -0.644655, 0.000000, 0.000000, 0.000000, 0.000000], [0.356100, -0.058980, 0.799208, -0.283691, -0.375488, 0.097513, 0.000000, 0.000000, 0.000000, 0.000000], [-0.402595, -0.168633, 0.475843, 0.731338, 0.049391, -0.213913, 0.000000, 0.000000, 0.000000, 0.000000], [-0.218361, 0.646435, 0.108655, 0.165249, -0.019505, 0.703525, 0.000000, 0.000000, 0.000000, 0.000000], [0.418850, 0.133099, 0.244612, 0.039310, 0.863269, -0.015373, 0.000000, 0.000000, 0.000000, 0.000000], [0.653218, 0.309451, -0.211330, 0.536993, -0.332500, -0.184306, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.367886, 49.024057, 53.827268, 57.762792, 161.464036], [58.616440, 69.766147, 70.127336, 70.468743, 374.094169], [64.509312, 76.412758, 76.982540, 83.677265, 376.911115], [32.098616, 43.548230, 48.581280, 51.384440, 103.318351], [67.642520, 80.502669, 80.891882, 85.752453, 453.056548], [105.776616, 124.506328, 125.312558, 135.372900, 724.808599]]
### 8
mean: [-9.108682]
std: [10.048963]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[154.444354, 166.209811, 179.424264, 183.641315, 819.781385]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.360795,
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],
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[
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[
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[
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],
[
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]
],
"network.0.bias": [
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0.082955,
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0.024898,
0.106737,
-0.735893
],
"network.2.weight": [
[
-0.098766,
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],
[
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0.257304,
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0.317061
],
[
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0.303327,
0.702524,
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0.319085,
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],
[
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0.574087,
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0.205744
],
[
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0.215558,
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],
[
-0.088971,
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0.418649,
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]
],
"network.2.bias": [
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0.096396,
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0.134564,
0.448175,
0.249637
],
"network.4.weight": [
[
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0.88468,
0.570496,
0.979641,
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0.785739
],
[
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0.656138,
0.196896,
0.700734,
-0.199391,
0.414408
],
[
0.014914,
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0.175634,
-0.518091,
0.763713,
0.054737
],
[
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-0.327486,
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-0.324159
],
[
0.462073,
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0.465939,
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],
[
0.289125,
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0.412656,
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0.421524,
0.099369
]
],
"network.4.bias": [
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0.232927,
0.432117,
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0.620018,
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],
"network.6.weight": [
[
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0.693875
],
[
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[
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[
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0.637637
],
[
0.5452,
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],
[
0.588165,
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0.243927
]
],
"network.6.bias": [
0.31153,
-0.059487,
0.4471,
0.570073,
-0.006001,
0.14123
],
"network.8.weight": [
[
0.760354,
-0.617205,
0.477672,
0.480443,
-0.518897,
-0.608016
]
],
"network.8.bias": [
0.291863
]
}
## Activation Signature
### 0
mean: [0.078325, 0.373433, 0.784721, -0.451689, -2.162783, -4.449841]
std: [2.379633, 2.004057, 1.772177, 1.811218, 2.322912, 2.622589]
pca: [[0.640940, -0.178063, 0.161849, -0.445682, -0.066285, -0.572947, 0.000000, 0.000000, 0.000000, 0.000000], [-0.530023, 0.152625, 0.338346, -0.230727, -0.667125, -0.288119, 0.000000, 0.000000, 0.000000, 0.000000], [0.215888, -0.124315, 0.732145, -0.156323, -0.039369, 0.613119, 0.000000, 0.000000, 0.000000, 0.000000], [-0.352641, 0.319900, 0.273435, -0.394226, 0.711437, -0.192316, 0.000000, 0.000000, 0.000000, 0.000000], [0.238283, 0.498673, 0.404911, 0.665503, 0.027318, -0.294878, 0.000000, 0.000000, 0.000000, 0.000000], [0.283778, 0.760615, -0.290809, -0.354100, -0.205214, 0.298104, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.486181, 36.277255, 40.002856, 41.848566, 45.738104], [28.831965, 31.007168, 32.025087, 33.609011, 34.597947], [26.537682, 30.714038, 33.479669, 35.346690, 70.624873], [26.400623, 28.406048, 29.818495, 34.362332, 40.651993], [33.933765, 37.878393, 38.711767, 39.355329, 194.650464], [38.896491, 48.372266, 50.172827, 51.574653, 400.485662]]
### 2
mean: [0.679784, 2.175655, 1.179292, 2.220778, -0.278388, 0.908266]
std: [0.376535, 2.139457, 1.585995, 2.175021, 1.305061, 1.498207]
pca: [[0.060095, -0.129679, 0.198260, 0.214722, 0.808967, -0.489623, 0.000000, 0.000000, 0.000000, 0.000000], [0.611711, -0.096982, 0.005006, -0.558728, -0.220021, -0.505759, 0.000000, 0.000000, 0.000000, 0.000000], [0.417067, -0.242830, 0.453881, 0.655656, -0.362033, -0.011332, 0.000000, 0.000000, 0.000000, 0.000000], [0.623335, 0.011390, -0.126366, -0.071623, 0.401818, 0.654804, 0.000000, 0.000000, 0.000000, 0.000000], [-0.234405, -0.437813, 0.687324, -0.448621, 0.064243, 0.274904, 0.000000, 0.000000, 0.000000, 0.000000], [0.068999, 0.850295, 0.516021, -0.073769, 0.022587, -0.002819, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.834683, 6.773422, 6.967800, 8.012557, 61.180516], [34.510454, 35.653608, 37.870589, 39.952408, 195.808951], [24.444635, 24.509752, 26.858143, 34.425182, 106.136282], [34.509860, 36.803049, 37.315102, 40.615988, 199.869996], [20.777833, 21.277069, 23.876326, 25.054946, 25.487859], [20.759543, 20.953873, 26.252824, 34.801744, 81.743958]]
### 4
mean: [5.939136, 3.989017, -0.647139, -1.744182, -0.676828, -0.878072]
std: [5.290620, 3.501354, 1.603357, 1.227486, 1.618983, 1.286115]
pca: [[0.770197, 0.218603, -0.008911, 0.026096, 0.240768, -0.547977, 0.000000, 0.000000, 0.000000, 0.000000], [0.509732, 0.075760, 0.308670, 0.138331, 0.079919, 0.783348, 0.000000, 0.000000, 0.000000, 0.000000], [-0.211903, 0.581228, -0.206595, 0.750288, 0.106144, 0.019760, 0.000000, 0.000000, 0.000000, 0.000000], [-0.163284, -0.434003, 0.113313, 0.200807, 0.855249, -0.019140, 0.000000, 0.000000, 0.000000, 0.000000], [-0.223830, 0.273283, 0.905737, -0.015791, -0.025546, -0.232283, 0.000000, 0.000000, 0.000000, 0.000000], [-0.159076, 0.587881, -0.169596, -0.613741, 0.438491, 0.177129, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[73.846873, 87.290249, 90.578419, 101.272175, 534.522228], [50.816033, 59.174736, 60.157710, 65.601260, 359.011546], [22.302920, 26.109882, 32.602904, 34.912823, 58.242525], [18.497766, 19.202095, 19.886088, 27.434094, 156.976393], [23.083517, 25.068807, 26.659936, 32.126998, 60.914492], [17.757018, 20.167527, 27.077033, 28.168680, 79.026472]]
### 6
mean: [-1.794045, 4.156601, -4.187901, -1.147982, 5.033962, 8.053430]
std: [2.904423, 3.974579, 4.497665, 2.589567, 4.675953, 7.299053]
pca: [[-0.247587, 0.660856, 0.136158, -0.259711, -0.019998, -0.644655, 0.000000, 0.000000, 0.000000, 0.000000], [0.356100, -0.058980, 0.799208, -0.283691, -0.375488, 0.097513, 0.000000, 0.000000, 0.000000, 0.000000], [-0.402595, -0.168633, 0.475843, 0.731338, 0.049391, -0.213913, 0.000000, 0.000000, 0.000000, 0.000000], [-0.218361, 0.646435, 0.108655, 0.165249, -0.019505, 0.703525, 0.000000, 0.000000, 0.000000, 0.000000], [0.418850, 0.133099, 0.244612, 0.039310, 0.863269, -0.015373, 0.000000, 0.000000, 0.000000, 0.000000], [0.653218, 0.309451, -0.211330, 0.536993, -0.332500, -0.184306, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.367886, 49.024057, 53.827268, 57.762792, 161.464036], [58.616440, 69.766147, 70.127336, 70.468743, 374.094169], [64.509312, 76.412758, 76.982540, 83.677265, 376.911115], [32.098616, 43.548230, 48.581280, 51.384440, 103.318351], [67.642520, 80.502669, 80.891882, 85.752453, 453.056548], [105.776616, 124.506328, 125.312558, 135.372900, 724.808599]]
### 8
mean: [-9.108682]
std: [10.048963]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[154.444354, 166.209811, 179.424264, 183.641315, 819.781385]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.248337, 0.360795, 0.652551, -0.35571, -0.936584], [-0.732037, -0.358588, 0.251418, 0.313776, 0.53256], [0.034567, -0.163947, 0.903896, -0.191537, -0.110041], [-0.581166, -0.619135, 0.282951, 0.344554, 0.036416], [0.458417, -0.794678, -0.101907, -0.638168, 0.153627], [-0.222788, -0.501447, -0.280153, -0.395437, -0.883582]], "network.0.bias": [-0.33335, 0.082955, -0.301231, 0.024898, 0.106737, -0.735893], "network.2.weight": [[-0.098766, -0.127208, 0.271648, 0.217712, -0.003713, 0.571574], [0.957063, 0.7258, 0.592566, 0.257304, -0.374003, 0.317061], [0.379198, 0.303327, 0.702524, 0.512265, 0.319085, -0.058365], [1.08744, 0.688358, 0.411455, 0.574087, -0.37778, 0.205744], [-0.97846, -0.492211, 0.62964, -0.475182, 0.215558, -0.334729], [-0.088971, 0.998746, -0.296302, 0.418649, -0.055325, -0.848758]], "network.2.bias": [0.525056, 0.096396, -0.347295, 0.134564, 0.448175, 0.249637], "network.4.weight": [[0.430419, 0.88468, 0.570496, 0.979641, -0.318144, 0.785739], [0.467136, 0.656138, 0.196896, 0.700734, -0.199391, 0.414408], [0.014914, -0.192656, 0.175634, -0.518091, 0.763713, 0.054737], [-0.567474, 0.086521, -0.296918, -0.327486, -0.283592, -0.324159], [0.462073, -0.189061, -0.118216, -0.35493, 0.465939, -0.370228], [0.289125, -0.170855, 0.412656, -0.593368, 0.421524, 0.099369]], "network.4.bias": [0.343834, 0.232927, 0.432117, -0.181266, 0.620018, -0.064454], "network.6.weight": [[-0.063081, -0.538202, 0.962395, 0.201946, 0.458459, 0.693875], [0.68631, 0.056752, -0.449449, -0.626091, 0.116345, -0.452025], [-0.567688, -0.367214, 0.202524, 0.050388, 0.545564, -0.362685], [-0.153607, -0.308939, 0.928095, -0.060937, 0.482897, 0.637637], [0.5452, 0.476346, -0.04796, -0.336458, -0.214386, -0.249113], [0.588165, 1.145206, -0.381438, -0.775878, -0.249788, 0.243927]], "network.6.bias": [0.31153, -0.059487, 0.4471, 0.570073, -0.006001, 0.14123], "network.8.weight": [[0.760354, -0.617205, 0.477672, 0.480443, -0.518897, -0.608016]], "network.8.bias": [0.291863]}}
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