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
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9,600
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.52, "improved_accuracy": 0.8, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9406, "learning_rate": 0.049445382688515144, "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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## Activation Signature
### 0
mean: [-0.561795, -1.266323, 0.239987, 1.122980, 1.313871, -0.630665]
std: [0.862761, 1.902559, 2.085455, 2.055410, 2.194000, 1.501566]
pca: [[0.076896, 0.220941, 0.485078, 0.079080, -0.506234, 0.668914, 0.000000, 0.000000, 0.000000, 0.000000], [0.301397, 0.573315, -0.060890, 0.679821, -0.088069, -0.326878, 0.000000, 0.000000, 0.000000, 0.000000], [0.474727, -0.424154, 0.673945, 0.036262, 0.049849, -0.369764, 0.000000, 0.000000, 0.000000, 0.000000], [0.512568, -0.393509, -0.371755, 0.347351, 0.267493, 0.502013, 0.000000, 0.000000, 0.000000, 0.000000], [0.620910, 0.206214, -0.312677, -0.578159, -0.356251, -0.114005, 0.000000, 0.000000, 0.000000, 0.000000], [0.172121, 0.495191, 0.266122, -0.274506, 0.731450, 0.209682, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.474987, 13.579134, 14.102592, 16.489003, 50.561558], [27.529898, 28.503814, 33.894314, 39.084371, 113.969071], [30.667321, 32.489902, 33.503107, 34.589501, 34.772888], [31.106534, 33.089064, 33.621653, 37.212872, 101.068182], [37.615395, 38.542305, 42.460938, 52.133215, 118.248389], [22.853906, 24.478954, 26.573617, 27.335834, 56.759840]]
### 2
mean: [-1.139880, 2.446091, -1.144921, 2.177824, 2.041596, 2.740817]
std: [2.290557, 3.287850, 1.675509, 2.692386, 2.829055, 3.697219]
pca: [[-0.334034, -0.034006, 0.731576, -0.414249, 0.401686, 0.138230, 0.000000, 0.000000, 0.000000, 0.000000], [0.480983, -0.030460, 0.661805, 0.498255, -0.241977, -0.151429, 0.000000, 0.000000, 0.000000, 0.000000], [-0.243819, 0.162422, -0.023064, 0.602830, 0.232256, 0.704480, 0.000000, 0.000000, 0.000000, 0.000000], [0.389430, -0.407325, 0.007010, -0.372353, -0.333689, 0.657561, 0.000000, 0.000000, 0.000000, 0.000000], [0.392068, 0.861462, 0.012712, -0.276376, 0.034874, 0.162495, 0.000000, 0.000000, 0.000000, 0.000000], [0.540607, -0.252001, -0.161454, 0.041287, 0.783319, -0.053660, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.680950, 39.011965, 41.506532, 43.660829, 102.589218], [54.178742, 59.387223, 60.118856, 69.253626, 220.148174], [27.791472, 28.897747, 29.761945, 36.073236, 103.042841], [44.837863, 46.270457, 46.604635, 56.758017, 196.004202], [44.625186, 47.972012, 53.600484, 55.866786, 183.743649], [62.342781, 64.627839, 65.494287, 76.460261, 246.673532]]
### 4
mean: [5.427993, 2.073830, 7.595022, 4.063920, -2.302846, 3.848584]
std: [7.609460, 3.611949, 10.436112, 5.812274, 3.768132, 5.868396]
pca: [[0.470128, 0.206940, -0.248985, 0.769387, 0.067569, -0.278641, 0.000000, 0.000000, 0.000000, 0.000000], [0.223177, -0.042135, -0.111183, -0.002754, 0.744733, 0.617592, 0.000000, 0.000000, 0.000000, 0.000000], [0.644542, 0.546964, 0.057945, -0.506710, -0.158950, 0.004245, 0.000000, 0.000000, 0.000000, 0.000000], [0.358848, -0.387501, 0.400736, 0.242482, -0.491601, 0.509915, 0.000000, 0.000000, 0.000000, 0.000000], [-0.232088, 0.481382, 0.780021, 0.247181, 0.211821, 0.002810, 0.000000, 0.000000, 0.000000, 0.000000], [0.362078, -0.523780, 0.391492, -0.177160, 0.359170, -0.529999, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[127.163606, 133.755278, 141.515422, 158.331675, 488.519382], [60.298369, 63.535083, 67.725696, 75.110228, 186.644685], [175.132522, 185.161465, 192.344344, 218.191209, 683.552062], [97.603500, 102.854503, 109.608332, 119.477284, 365.752730], [61.936009, 66.209123, 72.157095, 76.868553, 207.256134], [98.422701, 104.049235, 111.239762, 120.704556, 346.372552]]
### 6
mean: [11.375245, 17.278214, -5.124658, 13.059494, -12.678418, 6.869925]
std: [16.966429, 25.154453, 7.651217, 19.207428, 19.620277, 10.966381]
pca: [[0.394121, -0.094911, 0.529061, 0.439800, -0.408056, -0.442517, 0.000000, 0.000000, 0.000000, 0.000000], [0.584326, -0.190523, 0.201735, -0.531489, -0.237054, 0.492841, 0.000000, 0.000000, 0.000000, 0.000000], [-0.177727, -0.130136, 0.709495, -0.239092, 0.618694, -0.090261, 0.000000, 0.000000, 0.000000, 0.000000], [0.446135, 0.841483, 0.001589, 0.011389, 0.300829, -0.047320, 0.000000, 0.000000, 0.000000, 0.000000], [-0.455760, 0.404320, 0.417401, 0.172751, -0.380596, 0.529044, 0.000000, 0.000000, 0.000000, 0.000000], [0.254736, -0.257272, -0.042284, 0.661028, 0.398952, 0.520588, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[286.326621, 304.754385, 316.473926, 354.866934, 1023.772030], [423.901529, 451.126108, 470.049880, 525.901266, 1555.039180], [128.375859, 136.252366, 142.910956, 159.724350, 461.219262], [323.131725, 343.032350, 357.573361, 402.380164, 1175.354343], [330.378157, 351.608008, 367.075631, 409.611153, 1141.057544], [184.879895, 196.826825, 204.774353, 229.031104, 618.293306]]
### 8
mean: [-32.102539]
std: [48.149891]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[812.036329, 865.342797, 899.217504, 1009.008634, 2889.228376]]
## 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:
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## Activation Signature
### 0
mean: [-0.561795, -1.266323, 0.239987, 1.122980, 1.313871, -0.630665]
std: [0.862761, 1.902559, 2.085455, 2.055410, 2.194000, 1.501566]
pca: [[0.076896, 0.220941, 0.485078, 0.079080, -0.506234, 0.668914, 0.000000, 0.000000, 0.000000, 0.000000], [0.301397, 0.573315, -0.060890, 0.679821, -0.088069, -0.326878, 0.000000, 0.000000, 0.000000, 0.000000], [0.474727, -0.424154, 0.673945, 0.036262, 0.049849, -0.369764, 0.000000, 0.000000, 0.000000, 0.000000], [0.512568, -0.393509, -0.371755, 0.347351, 0.267493, 0.502013, 0.000000, 0.000000, 0.000000, 0.000000], [0.620910, 0.206214, -0.312677, -0.578159, -0.356251, -0.114005, 0.000000, 0.000000, 0.000000, 0.000000], [0.172121, 0.495191, 0.266122, -0.274506, 0.731450, 0.209682, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.474987, 13.579134, 14.102592, 16.489003, 50.561558], [27.529898, 28.503814, 33.894314, 39.084371, 113.969071], [30.667321, 32.489902, 33.503107, 34.589501, 34.772888], [31.106534, 33.089064, 33.621653, 37.212872, 101.068182], [37.615395, 38.542305, 42.460938, 52.133215, 118.248389], [22.853906, 24.478954, 26.573617, 27.335834, 56.759840]]
### 2
mean: [-1.139880, 2.446091, -1.144921, 2.177824, 2.041596, 2.740817]
std: [2.290557, 3.287850, 1.675509, 2.692386, 2.829055, 3.697219]
pca: [[-0.334034, -0.034006, 0.731576, -0.414249, 0.401686, 0.138230, 0.000000, 0.000000, 0.000000, 0.000000], [0.480983, -0.030460, 0.661805, 0.498255, -0.241977, -0.151429, 0.000000, 0.000000, 0.000000, 0.000000], [-0.243819, 0.162422, -0.023064, 0.602830, 0.232256, 0.704480, 0.000000, 0.000000, 0.000000, 0.000000], [0.389430, -0.407325, 0.007010, -0.372353, -0.333689, 0.657561, 0.000000, 0.000000, 0.000000, 0.000000], [0.392068, 0.861462, 0.012712, -0.276376, 0.034874, 0.162495, 0.000000, 0.000000, 0.000000, 0.000000], [0.540607, -0.252001, -0.161454, 0.041287, 0.783319, -0.053660, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.680950, 39.011965, 41.506532, 43.660829, 102.589218], [54.178742, 59.387223, 60.118856, 69.253626, 220.148174], [27.791472, 28.897747, 29.761945, 36.073236, 103.042841], [44.837863, 46.270457, 46.604635, 56.758017, 196.004202], [44.625186, 47.972012, 53.600484, 55.866786, 183.743649], [62.342781, 64.627839, 65.494287, 76.460261, 246.673532]]
### 4
mean: [5.427993, 2.073830, 7.595022, 4.063920, -2.302846, 3.848584]
std: [7.609460, 3.611949, 10.436112, 5.812274, 3.768132, 5.868396]
pca: [[0.470128, 0.206940, -0.248985, 0.769387, 0.067569, -0.278641, 0.000000, 0.000000, 0.000000, 0.000000], [0.223177, -0.042135, -0.111183, -0.002754, 0.744733, 0.617592, 0.000000, 0.000000, 0.000000, 0.000000], [0.644542, 0.546964, 0.057945, -0.506710, -0.158950, 0.004245, 0.000000, 0.000000, 0.000000, 0.000000], [0.358848, -0.387501, 0.400736, 0.242482, -0.491601, 0.509915, 0.000000, 0.000000, 0.000000, 0.000000], [-0.232088, 0.481382, 0.780021, 0.247181, 0.211821, 0.002810, 0.000000, 0.000000, 0.000000, 0.000000], [0.362078, -0.523780, 0.391492, -0.177160, 0.359170, -0.529999, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[127.163606, 133.755278, 141.515422, 158.331675, 488.519382], [60.298369, 63.535083, 67.725696, 75.110228, 186.644685], [175.132522, 185.161465, 192.344344, 218.191209, 683.552062], [97.603500, 102.854503, 109.608332, 119.477284, 365.752730], [61.936009, 66.209123, 72.157095, 76.868553, 207.256134], [98.422701, 104.049235, 111.239762, 120.704556, 346.372552]]
### 6
mean: [11.375245, 17.278214, -5.124658, 13.059494, -12.678418, 6.869925]
std: [16.966429, 25.154453, 7.651217, 19.207428, 19.620277, 10.966381]
pca: [[0.394121, -0.094911, 0.529061, 0.439800, -0.408056, -0.442517, 0.000000, 0.000000, 0.000000, 0.000000], [0.584326, -0.190523, 0.201735, -0.531489, -0.237054, 0.492841, 0.000000, 0.000000, 0.000000, 0.000000], [-0.177727, -0.130136, 0.709495, -0.239092, 0.618694, -0.090261, 0.000000, 0.000000, 0.000000, 0.000000], [0.446135, 0.841483, 0.001589, 0.011389, 0.300829, -0.047320, 0.000000, 0.000000, 0.000000, 0.000000], [-0.455760, 0.404320, 0.417401, 0.172751, -0.380596, 0.529044, 0.000000, 0.000000, 0.000000, 0.000000], [0.254736, -0.257272, -0.042284, 0.661028, 0.398952, 0.520588, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[286.326621, 304.754385, 316.473926, 354.866934, 1023.772030], [423.901529, 451.126108, 470.049880, 525.901266, 1555.039180], [128.375859, 136.252366, 142.910956, 159.724350, 461.219262], [323.131725, 343.032350, 357.573361, 402.380164, 1175.354343], [330.378157, 351.608008, 367.075631, 409.611153, 1141.057544], [184.879895, 196.826825, 204.774353, 229.031104, 618.293306]]
### 8
mean: [-32.102539]
std: [48.149891]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[812.036329, 865.342797, 899.217504, 1009.008634, 2889.228376]]
## 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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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": [[0.185561, -0.46207, -0.076799, -0.028676, -0.054318], [0.648684, -0.564439, -0.301677, -0.28439, 0.453939], [0.710079, 0.011657, -0.071807, 0.050396, -0.977636], [0.761909, 0.466562, -0.060701, -0.132159, -0.47355], [1.166593, -0.459107, 0.03484, 0.127204, -0.080455], [0.481618, -0.75194, -0.187648, 0.122584, 0.246935]], "network.0.bias": [0.33819, -0.364868, 0.582766, 0.318899, 0.452374, -0.035264], "network.2.weight": [[0.904893, -0.418644, -0.091745, -0.658973, -0.485651, -0.09222], [-0.644856, 0.416536, 0.55945, 0.398581, 0.937389, 0.253189], [0.65178, -0.185592, -0.004058, -0.353614, -0.466824, -0.439806], [-1.160517, 0.684868, 0.120383, 0.554822, 0.628525, 0.664836], [-1.082918, -0.876486, 0.365305, 0.392802, 1.044861, -0.160603], [-1.264822, 0.636631, 0.277643, 0.802071, 0.869847, 0.706625]], "network.2.bias": [0.545311, 0.061152, 0.083507, 0.242086, -0.032146, 0.031], "network.4.weight": [[-0.708573, 0.471208, -0.739511, 0.731369, 0.667987, 0.594493], [-0.616718, 0.28256, 0.432952, 0.446201, 0.403408, 0.086409], [-0.623065, 0.805823, -0.235313, 0.915078, 0.723725, 0.882673], [-0.315973, 0.201265, -0.524473, 0.302758, 0.786261, 0.581435], [0.622731, -0.506124, 0.395032, 0.142502, -0.491926, -0.288793], [-0.361618, 0.29501, -0.283171, 0.520354, 0.89611, 0.271425]], "network.4.bias": [-0.102105, -0.481907, 0.022528, -0.152029, 0.307134, -0.415357], "network.6.weight": [[0.03929, 0.331886, 0.798359, 0.616742, 0.227086, 0.610315], [0.76165, 0.391503, 0.773207, 0.636341, 0.113018, 1.058906], [-0.227557, -0.543377, -0.233461, 0.046677, 0.623818, -0.307926], [0.717454, 0.631397, 0.809028, 0.319122, -0.132258, 0.203423], [-0.571639, -0.65738, -0.453389, -0.463809, 0.423175, -0.93808], [0.19441, 0.724952, 0.249949, 0.35656, -0.30878, 0.379021]], "network.6.bias": [-0.440342, -0.190421, 0.016316, -0.365946, 0.73143, -0.519064], "network.8.weight": [[-0.556616, -0.70713, -0.049864, -0.710247, 0.747578, -0.665785]], "network.8.bias": [0.322572]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6960611939430237, "train_acc": 0.54, "val_loss": 0.6928454041481018, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6837072670459747, "train_acc": 0.565, "val_loss": 0.7039498686790466, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6712245643138885, "train_acc": 0.565, "val_loss": 0.7012104988098145, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.657755970954895, "train_acc": 0.565, "val_loss": 0.6918830275535583, "val_acc": 0.52}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6284105181694031, "train_acc": 0.565, "val_loss": 0.6096978187561035, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5810543596744537, "train_acc": 0.495, "val_loss": 0.6034998297691345, "val_acc": 0.6}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5062360167503357, "train_acc": 0.795, "val_loss": 0.4931715428829193, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.4038897305727005, "train_acc": 0.855, "val_loss": 0.4559559226036072, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.3804277777671814, "train_acc": 0.85, "val_loss": 0.4570126235485077, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.3481307774782181, "train_acc": 0.85, "val_loss": 0.48982420563697815, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.3065367564558983, "train_acc": 0.865, "val_loss": 0.46466416120529175, "val_acc": 0.8}], "summary": {"total_epochs": 11, "degraded_epochs": 5, "improved_epochs": 6, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6928454041481018, "final_val_loss": 0.6096978187561035, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.6034998297691345, "final_val_loss": 0.46466416120529175, "initial_val_acc": 0.6, "final_val_acc": 0.8, "best_val_acc": 0.8, "best_epoch": 10}, "improvement": 0.28, "first_improvement_epoch": 4}}
|
9,601
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.44, "improved_accuracy": 0.96, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3935, "learning_rate": 0.07091237861284704, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [1.283921, 0.386614, 2.126437, -0.886689, -4.418478, 1.632225]
std: [1.935183, 1.829307, 2.311666, 1.537261, 3.027424, 1.219057]
pca: [[-0.435933, 0.256087, 0.158404, -0.462949, -0.148716, 0.694875, 0.000000, 0.000000, 0.000000, 0.000000], [0.226914, -0.402662, 0.768818, -0.406435, -0.050286, -0.166052, 0.000000, 0.000000, 0.000000, 0.000000], [-0.512193, -0.036983, 0.496312, 0.693065, -0.095972, 0.020367, 0.000000, 0.000000, 0.000000, 0.000000], [-0.133479, 0.599897, 0.251224, -0.145655, 0.661122, -0.317640, 0.000000, 0.000000, 0.000000, 0.000000], [0.691434, 0.370466, 0.262042, 0.329065, -0.004671, 0.455744, 0.000000, 0.000000, 0.000000, 0.000000], [-0.015261, -0.523252, -0.075639, 0.103199, 0.727351, 0.424927, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.693596, 31.844679, 32.059902, 38.782565, 115.552878], [27.310637, 28.485025, 32.300337, 34.795284, 40.561376], [35.818784, 40.245124, 40.582657, 44.210638, 191.379308], [23.277400, 23.691120, 24.704528, 25.706691, 79.801986], [47.990834, 52.043294, 53.520589, 61.301148, 397.663035], [18.105253, 18.737666, 21.232617, 21.679365, 146.900232]]
### 2
mean: [-1.925488, -0.548097, -1.542317, -1.155668, 0.490844, -2.409029]
std: [1.246123, 1.758331, 0.777275, 0.885903, 2.495296, 1.387399]
pca: [[-0.295659, 0.474467, 0.381897, 0.658272, 0.284050, -0.166178, 0.000000, 0.000000, 0.000000, 0.000000], [-0.480736, -0.204015, 0.720212, -0.330821, -0.291129, 0.119859, 0.000000, 0.000000, 0.000000, 0.000000], [-0.190600, 0.293211, -0.172887, 0.018745, 0.038926, 0.919751, 0.000000, 0.000000, 0.000000, 0.000000], [-0.240696, 0.223535, -0.051171, -0.588611, 0.721612, -0.149304, 0.000000, 0.000000, 0.000000, 0.000000], [0.696822, 0.491054, 0.447020, -0.248211, -0.073886, 0.080070, 0.000000, 0.000000, 0.000000, 0.000000], [-0.318835, 0.596812, -0.321113, -0.220935, -0.553951, -0.288744, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.672468, 21.644210, 21.778550, 22.089090, 173.293935], [28.091564, 28.938481, 29.122953, 29.713476, 49.328766], [13.084173, 13.116870, 14.595573, 15.513743, 138.808500], [14.631973, 15.191332, 15.390008, 17.138423, 104.010132], [42.303019, 42.513707, 44.176004, 46.565994, 48.824074], [23.220930, 24.246344, 25.350780, 27.892694, 216.812640]]
### 4
mean: [0.445414, -0.601772, -0.407159, -0.410514, -0.369194, -0.124253]
std: [1.555869, 0.222180, 0.052932, 0.156835, 0.702126, 0.825141]
pca: [[0.816100, 0.029158, -0.572506, -0.024142, 0.014324, -0.067674, 0.000000, 0.000000, 0.000000, 0.000000], [0.095576, 0.663171, 0.137537, 0.689286, 0.226157, 0.076758, 0.000000, 0.000000, 0.000000, 0.000000], [-0.007633, 0.265470, 0.004550, -0.532483, 0.733258, 0.329000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.055824, 0.600916, -0.083925, -0.380819, -0.628138, 0.298595, 0.000000, 0.000000, 0.000000, 0.000000], [0.367715, 0.204195, 0.616852, -0.296872, -0.022576, -0.594930, 0.000000, 0.000000, 0.000000, 0.000000], [0.431807, -0.293401, 0.515510, 0.087224, -0.126148, 0.661957, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.415722, 28.374133, 28.590244, 29.216823, 40.087283], [3.120183, 3.213476, 3.292986, 5.258374, 54.159495], [0.695831, 0.706699, 0.950984, 1.145023, 36.644313], [2.472232, 2.563003, 3.203210, 3.728764, 36.946229], [12.136233, 12.722425, 12.946098, 13.434823, 33.227447], [14.188065, 14.234200, 14.856461, 15.114813, 15.853310]]
### 6
mean: [-0.399469, -0.402093, -0.405089, 0.478263, -0.636985, -0.585829]
std: [0.120790, 0.779368, 0.008288, 1.026714, 0.756180, 0.636330]
pca: [[0.071675, 0.731571, 0.469026, -0.115884, -0.376881, 0.290194, 0.000000, 0.000000, 0.000000, 0.000000], [0.478628, 0.223499, 0.014089, 0.258687, 0.730243, 0.347262, 0.000000, 0.000000, 0.000000, 0.000000], [0.001124, -0.175628, -0.461192, -0.279449, -0.216933, 0.794546, 0.000000, 0.000000, 0.000000, 0.000000], [0.630562, 0.145189, -0.295570, -0.595216, -0.066269, -0.367798, 0.000000, 0.000000, 0.000000, 0.000000], [0.464420, -0.034228, -0.232943, 0.682665, -0.510896, -0.042823, 0.000000, 0.000000, 0.000000, 0.000000], [0.390490, -0.601461, 0.652299, -0.145758, -0.110633, 0.163654, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.155805, 2.238560, 2.251854, 2.552232, 35.952241], [13.408727, 14.065394, 14.170811, 14.563443, 36.188375], [0.102262, 0.108091, 0.154222, 0.178916, 36.457977], [17.614177, 18.508323, 18.582177, 19.195782, 43.043670], [12.923779, 13.596945, 13.603037, 14.147139, 57.328673], [10.665390, 11.053263, 11.299287, 11.932775, 52.724589]]
### 8
mean: [0.886572, -0.103040, -0.241369, 0.845020, -0.319664, 0.747632]
std: [0.378147, 0.132985, 0.060936, 0.325037, 0.153332, 0.393015]
pca: [[0.564956, 0.555747, 0.021925, -0.163430, -0.495988, -0.314286, 0.000000, 0.000000, 0.000000, 0.000000], [0.198682, 0.228868, -0.203011, 0.918491, 0.095828, 0.118839, 0.000000, 0.000000, 0.000000, 0.000000], [-0.091040, 0.382205, 0.850355, 0.077766, 0.341210, -0.007400, 0.000000, 0.000000, 0.000000, 0.000000], [0.485609, -0.319087, -0.036024, -0.017557, 0.568162, -0.581338, 0.000000, 0.000000, 0.000000, 0.000000], [-0.229080, 0.623518, -0.483192, -0.265029, 0.505003, -0.002093, 0.000000, 0.000000, 0.000000, 0.000000], [0.587170, -0.045747, 0.020723, -0.230366, 0.224837, 0.741005, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.127243, 7.219012, 7.383785, 8.652549, 79.791479], [2.506479, 2.538751, 2.596698, 3.042891, 9.273614], [1.148518, 1.163306, 1.189858, 1.394313, 21.723240], [6.126238, 6.205118, 6.346749, 7.437318, 76.051833], [2.889978, 2.927188, 2.994001, 3.508463, 28.769721], [7.407471, 7.502847, 7.674100, 8.992748, 67.286891]]
### 10
mean: [2.037650, -0.786524, 1.235911, -0.357400, 0.561369, 0.174121]
std: [0.875665, 0.243995, 0.400628, 0.058768, 0.175401, 0.168115]
pca: [[0.854845, -0.311966, -0.070423, 0.026801, 0.001463, 0.407722, 0.000000, 0.000000, 0.000000, 0.000000], [-0.238193, 0.093944, 0.319347, -0.283224, 0.582089, 0.642972, 0.000000, 0.000000, 0.000000, 0.000000], [0.391100, 0.625999, -0.205121, -0.152047, 0.504340, -0.368260, 0.000000, 0.000000, 0.000000, 0.000000], [-0.057370, 0.218089, -0.058099, 0.929615, 0.187656, 0.215339, 0.000000, 0.000000, 0.000000, 0.000000], [0.171229, -0.263365, 0.787061, 0.172796, 0.247357, -0.436819, 0.000000, 0.000000, 0.000000, 0.000000], [-0.164117, -0.620527, -0.477643, 0.043643, 0.557146, -0.218067, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.504348, 16.716853, 17.098414, 20.036452, 183.388510], [4.598774, 4.657986, 4.764305, 5.582960, 70.787194], [7.550944, 7.648168, 7.822737, 9.166926, 111.231967], [1.107638, 1.121899, 1.147507, 1.344684, 32.165968], [3.305914, 3.348480, 3.424909, 4.013414, 50.523247], [3.168596, 3.209394, 3.282649, 3.846710, 15.670900]]
### 12
mean: [-1.281049]
std: [0.847162]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.967138, 16.172726, 16.541868, 19.384274, 115.294419]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.327391,
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-0.407546,
1.001741,
-0.253845,
-0.272637
],
"network.8.weight": [
[
-0.058117,
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],
[
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[
0.186825,
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[
0.192063,
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],
[
0.391601,
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],
"network.8.bias": [
0.171077,
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"network.10.weight": [
[
1.037425,
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"network.10.bias": [
0.040913,
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"network.12.weight": [
[
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"network.12.bias": [
0.372779
]
}
## Activation Signature
### 0
mean: [1.283921, 0.386614, 2.126437, -0.886689, -4.418478, 1.632225]
std: [1.935183, 1.829307, 2.311666, 1.537261, 3.027424, 1.219057]
pca: [[-0.435933, 0.256087, 0.158404, -0.462949, -0.148716, 0.694875, 0.000000, 0.000000, 0.000000, 0.000000], [0.226914, -0.402662, 0.768818, -0.406435, -0.050286, -0.166052, 0.000000, 0.000000, 0.000000, 0.000000], [-0.512193, -0.036983, 0.496312, 0.693065, -0.095972, 0.020367, 0.000000, 0.000000, 0.000000, 0.000000], [-0.133479, 0.599897, 0.251224, -0.145655, 0.661122, -0.317640, 0.000000, 0.000000, 0.000000, 0.000000], [0.691434, 0.370466, 0.262042, 0.329065, -0.004671, 0.455744, 0.000000, 0.000000, 0.000000, 0.000000], [-0.015261, -0.523252, -0.075639, 0.103199, 0.727351, 0.424927, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.693596, 31.844679, 32.059902, 38.782565, 115.552878], [27.310637, 28.485025, 32.300337, 34.795284, 40.561376], [35.818784, 40.245124, 40.582657, 44.210638, 191.379308], [23.277400, 23.691120, 24.704528, 25.706691, 79.801986], [47.990834, 52.043294, 53.520589, 61.301148, 397.663035], [18.105253, 18.737666, 21.232617, 21.679365, 146.900232]]
### 2
mean: [-1.925488, -0.548097, -1.542317, -1.155668, 0.490844, -2.409029]
std: [1.246123, 1.758331, 0.777275, 0.885903, 2.495296, 1.387399]
pca: [[-0.295659, 0.474467, 0.381897, 0.658272, 0.284050, -0.166178, 0.000000, 0.000000, 0.000000, 0.000000], [-0.480736, -0.204015, 0.720212, -0.330821, -0.291129, 0.119859, 0.000000, 0.000000, 0.000000, 0.000000], [-0.190600, 0.293211, -0.172887, 0.018745, 0.038926, 0.919751, 0.000000, 0.000000, 0.000000, 0.000000], [-0.240696, 0.223535, -0.051171, -0.588611, 0.721612, -0.149304, 0.000000, 0.000000, 0.000000, 0.000000], [0.696822, 0.491054, 0.447020, -0.248211, -0.073886, 0.080070, 0.000000, 0.000000, 0.000000, 0.000000], [-0.318835, 0.596812, -0.321113, -0.220935, -0.553951, -0.288744, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.672468, 21.644210, 21.778550, 22.089090, 173.293935], [28.091564, 28.938481, 29.122953, 29.713476, 49.328766], [13.084173, 13.116870, 14.595573, 15.513743, 138.808500], [14.631973, 15.191332, 15.390008, 17.138423, 104.010132], [42.303019, 42.513707, 44.176004, 46.565994, 48.824074], [23.220930, 24.246344, 25.350780, 27.892694, 216.812640]]
### 4
mean: [0.445414, -0.601772, -0.407159, -0.410514, -0.369194, -0.124253]
std: [1.555869, 0.222180, 0.052932, 0.156835, 0.702126, 0.825141]
pca: [[0.816100, 0.029158, -0.572506, -0.024142, 0.014324, -0.067674, 0.000000, 0.000000, 0.000000, 0.000000], [0.095576, 0.663171, 0.137537, 0.689286, 0.226157, 0.076758, 0.000000, 0.000000, 0.000000, 0.000000], [-0.007633, 0.265470, 0.004550, -0.532483, 0.733258, 0.329000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.055824, 0.600916, -0.083925, -0.380819, -0.628138, 0.298595, 0.000000, 0.000000, 0.000000, 0.000000], [0.367715, 0.204195, 0.616852, -0.296872, -0.022576, -0.594930, 0.000000, 0.000000, 0.000000, 0.000000], [0.431807, -0.293401, 0.515510, 0.087224, -0.126148, 0.661957, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.415722, 28.374133, 28.590244, 29.216823, 40.087283], [3.120183, 3.213476, 3.292986, 5.258374, 54.159495], [0.695831, 0.706699, 0.950984, 1.145023, 36.644313], [2.472232, 2.563003, 3.203210, 3.728764, 36.946229], [12.136233, 12.722425, 12.946098, 13.434823, 33.227447], [14.188065, 14.234200, 14.856461, 15.114813, 15.853310]]
### 6
mean: [-0.399469, -0.402093, -0.405089, 0.478263, -0.636985, -0.585829]
std: [0.120790, 0.779368, 0.008288, 1.026714, 0.756180, 0.636330]
pca: [[0.071675, 0.731571, 0.469026, -0.115884, -0.376881, 0.290194, 0.000000, 0.000000, 0.000000, 0.000000], [0.478628, 0.223499, 0.014089, 0.258687, 0.730243, 0.347262, 0.000000, 0.000000, 0.000000, 0.000000], [0.001124, -0.175628, -0.461192, -0.279449, -0.216933, 0.794546, 0.000000, 0.000000, 0.000000, 0.000000], [0.630562, 0.145189, -0.295570, -0.595216, -0.066269, -0.367798, 0.000000, 0.000000, 0.000000, 0.000000], [0.464420, -0.034228, -0.232943, 0.682665, -0.510896, -0.042823, 0.000000, 0.000000, 0.000000, 0.000000], [0.390490, -0.601461, 0.652299, -0.145758, -0.110633, 0.163654, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.155805, 2.238560, 2.251854, 2.552232, 35.952241], [13.408727, 14.065394, 14.170811, 14.563443, 36.188375], [0.102262, 0.108091, 0.154222, 0.178916, 36.457977], [17.614177, 18.508323, 18.582177, 19.195782, 43.043670], [12.923779, 13.596945, 13.603037, 14.147139, 57.328673], [10.665390, 11.053263, 11.299287, 11.932775, 52.724589]]
### 8
mean: [0.886572, -0.103040, -0.241369, 0.845020, -0.319664, 0.747632]
std: [0.378147, 0.132985, 0.060936, 0.325037, 0.153332, 0.393015]
pca: [[0.564956, 0.555747, 0.021925, -0.163430, -0.495988, -0.314286, 0.000000, 0.000000, 0.000000, 0.000000], [0.198682, 0.228868, -0.203011, 0.918491, 0.095828, 0.118839, 0.000000, 0.000000, 0.000000, 0.000000], [-0.091040, 0.382205, 0.850355, 0.077766, 0.341210, -0.007400, 0.000000, 0.000000, 0.000000, 0.000000], [0.485609, -0.319087, -0.036024, -0.017557, 0.568162, -0.581338, 0.000000, 0.000000, 0.000000, 0.000000], [-0.229080, 0.623518, -0.483192, -0.265029, 0.505003, -0.002093, 0.000000, 0.000000, 0.000000, 0.000000], [0.587170, -0.045747, 0.020723, -0.230366, 0.224837, 0.741005, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.127243, 7.219012, 7.383785, 8.652549, 79.791479], [2.506479, 2.538751, 2.596698, 3.042891, 9.273614], [1.148518, 1.163306, 1.189858, 1.394313, 21.723240], [6.126238, 6.205118, 6.346749, 7.437318, 76.051833], [2.889978, 2.927188, 2.994001, 3.508463, 28.769721], [7.407471, 7.502847, 7.674100, 8.992748, 67.286891]]
### 10
mean: [2.037650, -0.786524, 1.235911, -0.357400, 0.561369, 0.174121]
std: [0.875665, 0.243995, 0.400628, 0.058768, 0.175401, 0.168115]
pca: [[0.854845, -0.311966, -0.070423, 0.026801, 0.001463, 0.407722, 0.000000, 0.000000, 0.000000, 0.000000], [-0.238193, 0.093944, 0.319347, -0.283224, 0.582089, 0.642972, 0.000000, 0.000000, 0.000000, 0.000000], [0.391100, 0.625999, -0.205121, -0.152047, 0.504340, -0.368260, 0.000000, 0.000000, 0.000000, 0.000000], [-0.057370, 0.218089, -0.058099, 0.929615, 0.187656, 0.215339, 0.000000, 0.000000, 0.000000, 0.000000], [0.171229, -0.263365, 0.787061, 0.172796, 0.247357, -0.436819, 0.000000, 0.000000, 0.000000, 0.000000], [-0.164117, -0.620527, -0.477643, 0.043643, 0.557146, -0.218067, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.504348, 16.716853, 17.098414, 20.036452, 183.388510], [4.598774, 4.657986, 4.764305, 5.582960, 70.787194], [7.550944, 7.648168, 7.822737, 9.166926, 111.231967], [1.107638, 1.121899, 1.147507, 1.344684, 32.165968], [3.305914, 3.348480, 3.424909, 4.013414, 50.523247], [3.168596, 3.209394, 3.282649, 3.846710, 15.670900]]
### 12
mean: [-1.281049]
std: [0.847162]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.967138, 16.172726, 16.541868, 19.384274, 115.294419]]
## 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": 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": [[0.720124, 0.333724, 0.185775, -0.25399, -0.166359], [-0.620686, 0.493311, -0.159403, 0.332455, -0.291959], [0.888012, 0.291277, 0.25885, 0.262865, -0.429643], [0.392811, 0.016304, 0.003186, -0.45043, -0.477783], [-0.863052, -0.354671, -0.667527, -0.198814, -0.320168], [-0.243449, 0.02567, 0.339832, 0.409183, 0.164786]], "network.0.bias": [0.141426, 0.240229, -0.083931, 0.143303, -0.482559, 0.09783], "network.2.weight": [[-0.142526, -0.332939, -0.469289, 0.2115, 0.157736, 0.015355], [-0.642269, -0.309559, -0.114364, -0.707678, -0.094061, 0.51096], [-0.04634, 0.094958, -0.299323, 0.071722, -0.452187, -0.214404], [-0.170951, 0.036861, -0.203869, -0.377626, 0.045517, -0.209872], [0.45906, -0.793398, 0.526037, 0.197227, -0.346655, -0.460452], [-0.116514, 0.126512, -0.479543, 0.062973, -0.181456, -0.498849]], "network.2.bias": [-0.466365, 0.188479, -0.557723, -0.065373, 0.095346, -0.480198], "network.4.weight": [[0.493381, -0.489457, -0.332519, 0.022774, 0.72303, -0.052102], [0.097577, -0.327477, -0.217248, 0.18006, 0.051485, -0.509634], [-0.114716, -0.104238, -0.019587, 0.119454, -0.020132, -0.540536], [-0.155477, -0.213398, 0.066829, -0.119528, -0.07979, -0.30171], [-0.033233, -0.298772, -0.19945, -0.305869, 0.316169, -0.001456], [0.21607, -0.13252, -0.432105, 0.181308, 0.3981, -0.190878]], "network.4.bias": [-0.216597, -0.554066, -0.350523, -0.250783, -0.631214, -0.533153], "network.6.weight": [[-0.191537, -0.182602, -0.010733, 0.272553, 0.033028, 0.218856], [-0.406888, 0.17395, -0.56568, -0.140525, -0.260029, -0.186619], [0.044185, -0.085737, 0.057349, -0.214753, 0.062477, -0.144472], [-0.500311, 0.068862, -0.201146, 0.252668, -0.30565, -0.351193], [-0.345092, -0.017367, -0.188549, 0.188457, -0.260468, -0.287874], [-0.226895, 0.352799, -0.176063, -0.10345, -0.57016, -0.150404]], "network.6.bias": [-0.327391, -0.002612, -0.407546, 1.001741, -0.253845, -0.272637], "network.8.weight": [[-0.058117, 0.042401, -0.30672, 0.940155, -0.209781, 0.137922], [0.370861, -0.079737, 0.388072, 0.33063, 0.126731, 0.326385], [0.186825, -0.02654, 0.230243, -0.151501, 0.152775, 0.046512], [0.073934, 0.267487, 0.187809, 0.808112, -0.05662, -0.17618], [0.192063, -0.006266, -0.370903, -0.381217, 0.329612, -0.281566], [0.391601, -0.036086, 0.259247, 0.977119, 0.440936, 0.088164]], "network.8.bias": [0.171077, -0.354662, -0.126071, 0.230015, -0.029542, 0.004005], "network.10.weight": [[1.037425, 0.239578, 0.055173, 0.694658, -0.063926, 0.655383], [-0.261609, 0.146514, -0.373185, 0.04374, -0.032893, -0.405291], [0.421385, -0.01859, 0.00433, 0.604811, 0.157582, 0.113725], [-0.032287, 0.386697, -0.29502, 0.267774, -0.346322, -0.339922], [0.340351, 0.336961, 0.230811, -0.069331, 0.403295, 0.176158], [-0.498658, -0.003396, -0.194351, 0.22734, -0.044561, -0.135981]], "network.10.bias": [0.040913, -0.288541, 0.266221, -0.300912, 0.186508, 0.525774], "network.12.weight": [[-0.658404, 0.070624, -0.323588, -0.242751, -0.078493, 0.756712]], "network.12.bias": [0.372779]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6966325044631958, "train_acc": 0.485, "val_loss": 0.7728713154792786, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6892710030078888, "train_acc": 0.575, "val_loss": 0.717018723487854, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6980740129947662, "train_acc": 0.485, "val_loss": 0.6923893690109253, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6918305456638336, "train_acc": 0.515, "val_loss": 0.7118203639984131, "val_acc": 0.44}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6936149895191193, "train_acc": 0.515, "val_loss": 0.684256374835968, "val_acc": 0.44}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6681793332099915, "train_acc": 0.67, "val_loss": 0.6460661292076111, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.6467154324054718, "train_acc": 0.86, "val_loss": 0.598160982131958, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.588743656873703, "train_acc": 0.9, "val_loss": 0.5403686761856079, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.5018531531095505, "train_acc": 0.91, "val_loss": 0.4012085795402527, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3986683189868927, "train_acc": 0.91, "val_loss": 0.2757926881313324, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2677622511982918, "train_acc": 0.91, "val_loss": 0.2148570865392685, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.28916002810001373, "train_acc": 0.905, "val_loss": 0.1693907231092453, "val_acc": 0.96}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7728713154792786, "final_val_loss": 0.717018723487854, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.6923893690109253, "final_val_loss": 0.1693907231092453, "initial_val_acc": 0.56, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 8}, "improvement": 0.52, "first_improvement_epoch": 1}}
|
9,602
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.54, "improved_accuracy": 0.88, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4686, "learning_rate": 0.041986797765915296, "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: 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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## Activation Signature
### 0
mean: [2.389071, 1.909894, -2.558275, -0.142680, 1.584351, 1.638424, 1.285158, 0.014499]
std: [1.499022, 1.471706, 2.056937, 1.464269, 1.366159, 1.721886, 1.186318, 1.147225]
pca: [[-0.179309, 0.562587, 0.398351, 0.062316, 0.569974, -0.386416, -0.104646, 0.060327, 0.000000, 0.000000], [-0.361468, 0.336936, 0.246784, -0.383448, -0.251334, 0.553222, -0.026738, 0.421832, 0.000000, 0.000000], [0.612597, -0.207747, 0.017805, -0.171778, 0.450102, 0.173284, -0.065924, 0.561049, 0.000000, 0.000000], [0.202470, -0.257769, 0.845252, 0.300518, -0.166582, 0.175505, 0.010004, -0.170725, 0.000000, 0.000000], [-0.372082, -0.256877, 0.003395, 0.350867, 0.126925, -0.074777, 0.688352, 0.420619, 0.000000, 0.000000], [-0.442516, -0.406756, -0.041917, -0.018303, 0.557898, 0.418671, -0.267714, -0.280056, 0.000000, 0.000000], [-0.281124, -0.348243, 0.061516, 0.099596, -0.232044, -0.405239, -0.607074, 0.446532, 0.000000, 0.000000], [0.087318, 0.328112, -0.245140, 0.771948, -0.020371, 0.372429, -0.264292, 0.140544, 0.000000, 0.000000]]
fourier: [[22.610489, 22.822068, 23.029922, 23.748799, 215.016394], [24.504326, 25.377339, 25.747371, 27.867064, 171.890480], [30.013504, 31.950615, 39.427759, 40.782865, 230.244731], [23.243372, 24.647133, 24.925533, 25.665124, 26.059613], [22.611068, 24.369642, 26.723967, 30.236778, 142.591606], [28.603423, 30.006191, 35.190958, 40.842246, 147.458174], [19.532490, 20.857679, 24.808604, 25.365276, 115.664230], [15.180348, 18.241406, 18.913642, 19.287308, 24.191977]]
### 2
mean: [-3.602978, 0.906045, 0.974698, -0.855945, 1.202857, -2.321325, 1.152143, -1.099637]
std: [1.905395, 1.246526, 1.389285, 1.119741, 1.920647, 1.174413, 1.262165, 0.919043]
pca: [[-0.464774, 0.523234, -0.116436, -0.305368, -0.003402, 0.084867, 0.606130, -0.169696, 0.000000, 0.000000], [0.361309, 0.157415, 0.314623, 0.355535, -0.496293, 0.527513, 0.307502, 0.012250, 0.000000, 0.000000], [0.395790, 0.221207, 0.249708, 0.083568, 0.685825, -0.095053, 0.324630, 0.374572, 0.000000, 0.000000], [-0.328935, 0.092914, -0.102132, 0.654647, 0.432085, 0.327523, -0.163985, -0.351164, 0.000000, 0.000000], [0.583552, 0.063786, -0.473434, -0.300811, 0.169844, 0.251620, -0.023807, -0.498042, 0.000000, 0.000000], [-0.030999, 0.525219, -0.305116, -0.089833, -0.055545, 0.318987, -0.474778, 0.540153, 0.000000, 0.000000], [-0.216133, -0.466697, 0.215607, -0.416139, 0.247752, 0.657164, 0.019979, 0.148922, 0.000000, 0.000000], [0.019649, 0.382298, 0.671527, -0.270314, 0.057581, -0.035941, -0.423548, -0.381371, 0.000000, 0.000000]]
fourier: [[28.902080, 30.144850, 35.641038, 41.568722, 324.268046], [22.090610, 23.174005, 24.616649, 27.014474, 81.544079], [24.701708, 25.733860, 27.650623, 29.434202, 87.722837], [21.134084, 21.699005, 22.050443, 23.391973, 77.035065], [32.367478, 38.258764, 38.619455, 40.840269, 108.257138], [17.548150, 17.972466, 18.684728, 19.759474, 208.919200], [18.927710, 19.883464, 20.309472, 23.973536, 103.692911], [13.780104, 14.434405, 14.740399, 18.370164, 98.967323]]
### 4
mean: [0.551547, 1.242404, 1.183465, 0.250276, -0.011547, -0.563692, 0.080461, 0.696067]
std: [1.166457, 2.222225, 2.129522, 0.769152, 0.606640, 0.689101, 0.428757, 1.393653]
pca: [[0.308255, -0.264921, 0.182486, 0.375879, 0.560410, -0.493878, 0.249919, 0.199436, 0.000000, 0.000000], [0.591425, 0.100454, 0.120628, -0.118865, 0.229912, 0.507354, 0.313958, -0.450120, 0.000000, 0.000000], [0.564836, 0.379033, 0.183529, -0.310618, -0.242424, -0.155751, -0.161544, 0.545897, 0.000000, 0.000000], [-0.198476, 0.353587, 0.367167, 0.198078, -0.409486, -0.187128, 0.671725, -0.087333, 0.000000, 0.000000], [-0.141283, 0.595769, 0.373277, 0.314688, 0.318183, -0.004188, -0.487741, -0.218140, 0.000000, 0.000000], [-0.169456, -0.425736, 0.736036, -0.046796, -0.024000, 0.402693, -0.080904, 0.277150, 0.000000, 0.000000], [-0.107184, 0.255612, -0.317691, 0.395965, 0.180676, 0.521590, 0.218836, 0.559346, 0.000000, 0.000000], [0.369591, -0.222502, -0.040511, 0.671462, -0.521701, 0.071877, -0.263313, -0.121331, 0.000000, 0.000000]]
fourier: [[19.730747, 21.778915, 24.016699, 24.737129, 49.639233], [40.332075, 42.210144, 43.439486, 48.611757, 111.816374], [39.771655, 40.247094, 40.988534, 47.240592, 106.511816], [12.022777, 14.418916, 14.931828, 15.024864, 22.524838], [8.682130, 8.834452, 9.335930, 9.738543, 11.863717], [12.127119, 12.748497, 14.376125, 14.946185, 50.732259], [6.748901, 6.974246, 7.241508, 8.513008, 9.364119], [24.311277, 26.483507, 28.304404, 29.309237, 62.646044]]
### 6
mean: [2.563048, -0.882679, -0.785659, -1.529271, -0.745552, -0.751054, 2.211099, -0.377479]
std: [3.639368, 1.151831, 1.546285, 2.037171, 1.806130, 0.901573, 3.589785, 1.147614]
pca: [[0.580392, 0.033867, 0.387275, 0.509056, 0.257762, -0.257547, 0.257876, -0.231532, 0.000000, 0.000000], [-0.182620, 0.472620, -0.102266, -0.272833, 0.413350, -0.370423, 0.516884, 0.288347, 0.000000, 0.000000], [-0.246379, -0.160569, 0.712818, -0.111919, -0.243739, 0.307264, 0.449424, 0.192557, 0.000000, 0.000000], [-0.323637, 0.679479, 0.368124, 0.077998, -0.114532, -0.057850, -0.356682, -0.385074, 0.000000, 0.000000], [-0.287902, -0.203682, 0.197668, 0.366489, -0.027681, -0.525228, -0.345796, 0.553204, 0.000000, 0.000000], [-0.143363, 0.241693, -0.157799, 0.558731, 0.316321, 0.621345, 0.009989, 0.312606, 0.000000, 0.000000], [0.572379, 0.285548, 0.237248, -0.365833, 0.010841, 0.165063, -0.367665, 0.488041, 0.000000, 0.000000], [-0.182464, -0.326451, 0.275092, -0.259782, 0.767614, 0.097566, -0.286837, -0.189600, 0.000000, 0.000000]]
fourier: [[66.320603, 66.721968, 66.747545, 81.219202, 230.674291], [19.514913, 20.617387, 20.856125, 26.104133, 79.441089], [27.892537, 28.213505, 28.710482, 34.197444, 70.709275], [35.537162, 36.447142, 36.735758, 46.164497, 137.634383], [32.753260, 32.860440, 33.763006, 40.314683, 67.099641], [15.886872, 15.985872, 16.558260, 20.661015, 67.594826], [65.462742, 65.679380, 66.397274, 80.110580, 198.998941], [20.778606, 21.213570, 21.677858, 25.232235, 33.973106]]
### 8
mean: [-1.978608]
std: [3.566411]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[64.053296, 65.616322, 65.689827, 79.515927, 178.074711]]
## 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
mean: [2.389071, 1.909894, -2.558275, -0.142680, 1.584351, 1.638424, 1.285158, 0.014499]
std: [1.499022, 1.471706, 2.056937, 1.464269, 1.366159, 1.721886, 1.186318, 1.147225]
pca: [[-0.179309, 0.562587, 0.398351, 0.062316, 0.569974, -0.386416, -0.104646, 0.060327, 0.000000, 0.000000], [-0.361468, 0.336936, 0.246784, -0.383448, -0.251334, 0.553222, -0.026738, 0.421832, 0.000000, 0.000000], [0.612597, -0.207747, 0.017805, -0.171778, 0.450102, 0.173284, -0.065924, 0.561049, 0.000000, 0.000000], [0.202470, -0.257769, 0.845252, 0.300518, -0.166582, 0.175505, 0.010004, -0.170725, 0.000000, 0.000000], [-0.372082, -0.256877, 0.003395, 0.350867, 0.126925, -0.074777, 0.688352, 0.420619, 0.000000, 0.000000], [-0.442516, -0.406756, -0.041917, -0.018303, 0.557898, 0.418671, -0.267714, -0.280056, 0.000000, 0.000000], [-0.281124, -0.348243, 0.061516, 0.099596, -0.232044, -0.405239, -0.607074, 0.446532, 0.000000, 0.000000], [0.087318, 0.328112, -0.245140, 0.771948, -0.020371, 0.372429, -0.264292, 0.140544, 0.000000, 0.000000]]
fourier: [[22.610489, 22.822068, 23.029922, 23.748799, 215.016394], [24.504326, 25.377339, 25.747371, 27.867064, 171.890480], [30.013504, 31.950615, 39.427759, 40.782865, 230.244731], [23.243372, 24.647133, 24.925533, 25.665124, 26.059613], [22.611068, 24.369642, 26.723967, 30.236778, 142.591606], [28.603423, 30.006191, 35.190958, 40.842246, 147.458174], [19.532490, 20.857679, 24.808604, 25.365276, 115.664230], [15.180348, 18.241406, 18.913642, 19.287308, 24.191977]]
### 2
mean: [-3.602978, 0.906045, 0.974698, -0.855945, 1.202857, -2.321325, 1.152143, -1.099637]
std: [1.905395, 1.246526, 1.389285, 1.119741, 1.920647, 1.174413, 1.262165, 0.919043]
pca: [[-0.464774, 0.523234, -0.116436, -0.305368, -0.003402, 0.084867, 0.606130, -0.169696, 0.000000, 0.000000], [0.361309, 0.157415, 0.314623, 0.355535, -0.496293, 0.527513, 0.307502, 0.012250, 0.000000, 0.000000], [0.395790, 0.221207, 0.249708, 0.083568, 0.685825, -0.095053, 0.324630, 0.374572, 0.000000, 0.000000], [-0.328935, 0.092914, -0.102132, 0.654647, 0.432085, 0.327523, -0.163985, -0.351164, 0.000000, 0.000000], [0.583552, 0.063786, -0.473434, -0.300811, 0.169844, 0.251620, -0.023807, -0.498042, 0.000000, 0.000000], [-0.030999, 0.525219, -0.305116, -0.089833, -0.055545, 0.318987, -0.474778, 0.540153, 0.000000, 0.000000], [-0.216133, -0.466697, 0.215607, -0.416139, 0.247752, 0.657164, 0.019979, 0.148922, 0.000000, 0.000000], [0.019649, 0.382298, 0.671527, -0.270314, 0.057581, -0.035941, -0.423548, -0.381371, 0.000000, 0.000000]]
fourier: [[28.902080, 30.144850, 35.641038, 41.568722, 324.268046], [22.090610, 23.174005, 24.616649, 27.014474, 81.544079], [24.701708, 25.733860, 27.650623, 29.434202, 87.722837], [21.134084, 21.699005, 22.050443, 23.391973, 77.035065], [32.367478, 38.258764, 38.619455, 40.840269, 108.257138], [17.548150, 17.972466, 18.684728, 19.759474, 208.919200], [18.927710, 19.883464, 20.309472, 23.973536, 103.692911], [13.780104, 14.434405, 14.740399, 18.370164, 98.967323]]
### 4
mean: [0.551547, 1.242404, 1.183465, 0.250276, -0.011547, -0.563692, 0.080461, 0.696067]
std: [1.166457, 2.222225, 2.129522, 0.769152, 0.606640, 0.689101, 0.428757, 1.393653]
pca: [[0.308255, -0.264921, 0.182486, 0.375879, 0.560410, -0.493878, 0.249919, 0.199436, 0.000000, 0.000000], [0.591425, 0.100454, 0.120628, -0.118865, 0.229912, 0.507354, 0.313958, -0.450120, 0.000000, 0.000000], [0.564836, 0.379033, 0.183529, -0.310618, -0.242424, -0.155751, -0.161544, 0.545897, 0.000000, 0.000000], [-0.198476, 0.353587, 0.367167, 0.198078, -0.409486, -0.187128, 0.671725, -0.087333, 0.000000, 0.000000], [-0.141283, 0.595769, 0.373277, 0.314688, 0.318183, -0.004188, -0.487741, -0.218140, 0.000000, 0.000000], [-0.169456, -0.425736, 0.736036, -0.046796, -0.024000, 0.402693, -0.080904, 0.277150, 0.000000, 0.000000], [-0.107184, 0.255612, -0.317691, 0.395965, 0.180676, 0.521590, 0.218836, 0.559346, 0.000000, 0.000000], [0.369591, -0.222502, -0.040511, 0.671462, -0.521701, 0.071877, -0.263313, -0.121331, 0.000000, 0.000000]]
fourier: [[19.730747, 21.778915, 24.016699, 24.737129, 49.639233], [40.332075, 42.210144, 43.439486, 48.611757, 111.816374], [39.771655, 40.247094, 40.988534, 47.240592, 106.511816], [12.022777, 14.418916, 14.931828, 15.024864, 22.524838], [8.682130, 8.834452, 9.335930, 9.738543, 11.863717], [12.127119, 12.748497, 14.376125, 14.946185, 50.732259], [6.748901, 6.974246, 7.241508, 8.513008, 9.364119], [24.311277, 26.483507, 28.304404, 29.309237, 62.646044]]
### 6
mean: [2.563048, -0.882679, -0.785659, -1.529271, -0.745552, -0.751054, 2.211099, -0.377479]
std: [3.639368, 1.151831, 1.546285, 2.037171, 1.806130, 0.901573, 3.589785, 1.147614]
pca: [[0.580392, 0.033867, 0.387275, 0.509056, 0.257762, -0.257547, 0.257876, -0.231532, 0.000000, 0.000000], [-0.182620, 0.472620, -0.102266, -0.272833, 0.413350, -0.370423, 0.516884, 0.288347, 0.000000, 0.000000], [-0.246379, -0.160569, 0.712818, -0.111919, -0.243739, 0.307264, 0.449424, 0.192557, 0.000000, 0.000000], [-0.323637, 0.679479, 0.368124, 0.077998, -0.114532, -0.057850, -0.356682, -0.385074, 0.000000, 0.000000], [-0.287902, -0.203682, 0.197668, 0.366489, -0.027681, -0.525228, -0.345796, 0.553204, 0.000000, 0.000000], [-0.143363, 0.241693, -0.157799, 0.558731, 0.316321, 0.621345, 0.009989, 0.312606, 0.000000, 0.000000], [0.572379, 0.285548, 0.237248, -0.365833, 0.010841, 0.165063, -0.367665, 0.488041, 0.000000, 0.000000], [-0.182464, -0.326451, 0.275092, -0.259782, 0.767614, 0.097566, -0.286837, -0.189600, 0.000000, 0.000000]]
fourier: [[66.320603, 66.721968, 66.747545, 81.219202, 230.674291], [19.514913, 20.617387, 20.856125, 26.104133, 79.441089], [27.892537, 28.213505, 28.710482, 34.197444, 70.709275], [35.537162, 36.447142, 36.735758, 46.164497, 137.634383], [32.753260, 32.860440, 33.763006, 40.314683, 67.099641], [15.886872, 15.985872, 16.558260, 20.661015, 67.594826], [65.462742, 65.679380, 66.397274, 80.110580, 198.998941], [20.778606, 21.213570, 21.677858, 25.232235, 33.973106]]
### 8
mean: [-1.978608]
std: [3.566411]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[64.053296, 65.616322, 65.689827, 79.515927, 178.074711]]
## 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": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.04092, 0.054971, 0.540094, 0.494433, -0.376598], [0.159638, 0.463573, 0.397561, 0.101438, -0.121775], [-0.616701, -0.48772, -0.107726, -0.30225, -0.070318], [-0.653735, 0.088924, 0.009373, -0.043301, 0.552043], [0.479538, -0.020049, -0.046929, 0.181906, 0.408491], [0.62431, -0.194057, 0.134975, 0.064445, 0.480016], [0.305998, 0.127954, -0.10049, -0.062397, 0.494062], [0.042831, -0.0932, -0.254969, 0.419542, -0.357295]], "network.0.bias": [0.615815, -0.031299, 0.057822, -0.098759, 0.228261, 0.202951, 0.405574, 0.20461], "network.2.weight": [[-0.530932, -0.216001, -0.060146, -0.168736, -0.058701, -0.519821, -0.436789, 0.079944], [-0.172281, -0.156645, -0.399459, 0.112188, 0.414809, 0.272633, 0.089375, -0.286046], [-0.111088, -0.232345, -0.257071, 0.428412, 0.179455, 0.285067, 0.393644, -0.150317], [0.204333, -0.341888, -0.29238, -0.249605, -0.158429, -0.106935, -0.391803, -0.304883], [-0.221872, 0.240998, -0.02144, 0.656845, 0.38835, 0.171602, 0.472611, -0.455112], [-0.603512, -0.117017, -0.402477, 0.219343, 0.21247, -0.186483, -0.274813, -0.322849], [0.336426, 0.317226, 0.22037, -0.171479, -0.036375, -0.122306, -0.253043, 0.578718], [-0.478393, -0.204144, 0.165134, 0.111951, 0.130064, 0.07942, -0.141734, 0.426218]], "network.2.bias": [-0.495748, 0.48329, 0.370076, 0.356292, -0.209685, -0.362003, 0.193473, 0.071329], "network.4.weight": [[0.355154, 0.213984, 0.221926, 0.141587, 0.15515, 0.106856, -0.444961, -0.551594], [-0.219743, 0.408161, 0.399483, -0.188807, 0.4724, -0.537609, -0.532376, -0.229232], [0.129, 0.273223, 0.386053, 0.223111, 0.58288, -0.541233, -0.405753, -0.277966], [-0.036185, -0.383043, -0.308111, 0.165368, 0.185774, -0.170956, 0.260463, -0.211005], [0.272509, -0.459231, -0.229531, -0.211094, 0.298218, 0.267362, 0.241385, -0.375727], [-0.395401, -0.444817, -0.25197, 0.134581, 0.051037, -0.318017, -0.111833, 0.096805], [-0.195618, 0.09322, -0.133033, -0.516031, -0.089408, 0.357386, 0.218661, 0.059407], [-0.063031, 0.594645, 0.049469, 0.156081, 0.162556, 0.061716, -0.445916, -0.006633]], "network.4.bias": [0.425408, 0.40597, 0.205924, 0.340618, -0.040765, 0.145235, -0.001355, 0.409429], "network.6.weight": [[0.492338, 0.646708, 0.507604, -0.305817, -0.433582, -0.438718, -0.07307, 0.613866], [-0.424655, -0.265306, -0.080346, -0.100601, -0.060023, 0.038568, -0.165386, -0.124756], [-0.152284, -0.273067, -0.007499, 0.115521, 0.226532, 0.099095, 0.126952, -0.630242], [-0.664775, 0.01419, -0.372352, 0.070695, -0.230388, -0.297719, -0.284991, -0.677474], [-0.349948, -0.20893, -0.276054, 0.370418, 0.173289, -0.316147, 0.012765, -0.319901], [-0.271294, -0.050683, -0.187349, 0.092198, -0.32242, -0.314192, 0.209511, -0.157042], [0.582055, 0.579494, 0.531276, -0.297675, -0.513561, -0.155368, -0.385631, 0.516119], [-0.241992, -0.24908, 0.003898, 0.452957, -0.11615, 0.050191, 0.156776, -0.225929]], "network.6.bias": [0.185894, 0.075957, 0.191529, 0.002553, 0.282432, -0.137113, -0.015539, 0.186935], "network.8.weight": [[-0.379806, 0.098199, 0.497205, 0.048464, 0.435671, 0.036922, -0.601775, 0.221904]], "network.8.bias": [0.32839]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7035551369190216, "train_acc": 0.445, "val_loss": 0.6975909471511841, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6626319885253906, "train_acc": 0.58, "val_loss": 0.6491178274154663, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6018330454826355, "train_acc": 0.64, "val_loss": 0.5166205763816833, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4610704481601715, "train_acc": 0.74, "val_loss": 0.3862554430961609, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4070274382829666, "train_acc": 0.825, "val_loss": 0.3335876166820526, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3934227079153061, "train_acc": 0.83, "val_loss": 0.3309377431869507, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3853047639131546, "train_acc": 0.845, "val_loss": 0.39507535099983215, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3604102283716202, "train_acc": 0.845, "val_loss": 0.3244915008544922, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.333793506026268, "train_acc": 0.855, "val_loss": 0.32665663957595825, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.36256377398967743, "train_acc": 0.855, "val_loss": 0.3168705999851227, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.33098217844963074, "train_acc": 0.865, "val_loss": 0.3445777893066406, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.32909493148326874, "train_acc": 0.86, "val_loss": 0.3134235143661499, "val_acc": 0.88}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6975909471511841, "final_val_loss": 0.6491178274154663, "initial_val_acc": 0.5, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5166205763816833, "final_val_loss": 0.3134235143661499, "initial_val_acc": 0.7, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 4}, "improvement": 0.33999999999999997, "first_improvement_epoch": 1}}
|
9,603
|
{"target_pattern": "palindrome", "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": "gelu", "dropout_rate": 0.0, "random_seed": 1343, "learning_rate": 0.07502470813311957, "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: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.492656,
0.226686
]
],
"network.10.bias": [
0.311838,
-0.001371,
0.184671,
-0.009222,
0.01208,
0.259689
],
"network.12.weight": [
[
0.266514,
-0.132043,
-0.220146,
-0.437589,
-0.176052,
0.135014
]
],
"network.12.bias": [
-0.254711
]
}
## Activation Signature
### 0
mean: [-0.157846, -0.186413, -1.867047, -2.433213, -0.254094, 0.217156]
std: [2.566825, 1.467036, 1.457800, 1.796955, 1.886391, 2.044459]
pca: [[0.714124, -0.199128, 0.192391, -0.021067, -0.318634, -0.558023, 0.000000, 0.000000, 0.000000, 0.000000], [0.269229, -0.004783, -0.095337, 0.880019, -0.132216, 0.355652, 0.000000, 0.000000, 0.000000, 0.000000], [0.038597, 0.362774, 0.619659, 0.240176, 0.612068, -0.224980, 0.000000, 0.000000, 0.000000, 0.000000], [0.233794, 0.758646, 0.166298, -0.245709, -0.414408, 0.331716, 0.000000, 0.000000, 0.000000, 0.000000], [-0.248629, -0.419402, 0.736221, -0.020277, -0.364909, 0.294440, 0.000000, 0.000000, 0.000000, 0.000000], [0.547336, -0.277991, 0.015577, -0.326579, 0.448857, 0.561048, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.289622, 38.129002, 40.922134, 50.145565, 51.434572], [22.880128, 23.109363, 25.367391, 25.516870, 27.883745], [22.251852, 25.588997, 25.591298, 27.444073, 168.034246], [32.332412, 33.825655, 35.123126, 35.765911, 218.989125], [27.482448, 27.612102, 31.310433, 35.699968, 38.385611], [30.133119, 30.140474, 33.129999, 37.239276, 41.653800]]
### 2
mean: [-1.400459, -1.580580, -0.219794, -1.685593, -1.689094, 1.235716]
std: [2.081424, 1.814444, 0.702833, 1.717853, 1.704806, 1.851683]
pca: [[0.500778, 0.418893, -0.499718, 0.473958, -0.256156, -0.183793, 0.000000, 0.000000, 0.000000, 0.000000], [0.440180, 0.184518, -0.240460, -0.518005, 0.220640, 0.630367, 0.000000, 0.000000, 0.000000, 0.000000], [0.136185, 0.587441, 0.612263, -0.285434, -0.405073, -0.126268, 0.000000, 0.000000, 0.000000, 0.000000], [0.417911, -0.012498, 0.135850, -0.175862, 0.640202, -0.604941, 0.000000, 0.000000, 0.000000, 0.000000], [0.411511, -0.214403, 0.546555, 0.558125, 0.137282, 0.394483, 0.000000, 0.000000, 0.000000, 0.000000], [-0.439233, 0.631878, 0.020431, 0.288323, 0.541214, 0.177042, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.166213, 34.411162, 34.679531, 41.112651, 126.041296], [28.211520, 29.978844, 30.504283, 36.762463, 142.252187], [11.208350, 12.340361, 12.906187, 14.625856, 19.781467], [25.913980, 27.622146, 28.271719, 35.449094, 151.703407], [25.504995, 26.070522, 27.591889, 35.592838, 152.018475], [28.163521, 28.731704, 31.193107, 38.640444, 111.214468]]
### 4
mean: [0.547347, 0.072086, 0.291696, -0.000335, -0.940841, 0.265311]
std: [1.062297, 0.602692, 0.776466, 0.336847, 0.496372, 1.059105]
pca: [[0.564810, -0.230319, 0.466127, -0.103903, -0.624365, 0.100202, 0.000000, 0.000000, 0.000000, 0.000000], [0.313872, 0.608076, -0.357811, -0.286926, -0.069462, 0.562626, 0.000000, 0.000000, 0.000000, 0.000000], [0.412927, 0.010147, 0.389860, -0.401481, 0.709932, -0.110485, 0.000000, 0.000000, 0.000000, 0.000000], [-0.176269, -0.117215, 0.411587, 0.432360, 0.237316, 0.736568, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249934, 0.730626, 0.548048, 0.106954, -0.146829, -0.265261, 0.000000, 0.000000, 0.000000, 0.000000], [0.564293, 0.171870, -0.181508, 0.739809, 0.153172, -0.219795, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.384087, 17.040204, 17.279535, 21.754292, 49.261232], [8.329706, 8.350880, 8.845579, 10.001217, 12.723038], [11.842014, 12.219803, 12.578672, 16.020296, 26.252662], [4.904209, 4.994735, 5.228431, 5.281360, 7.142219], [7.622951, 7.837475, 9.186935, 9.615960, 84.675716], [15.672897, 16.694918, 17.486638, 22.084469, 23.878027]]
### 6
mean: [0.342144, 0.553847, -0.407786, -0.220789, -0.881397, 0.808938]
std: [0.819984, 0.074609, 0.444667, 1.300005, 0.579496, 1.541438]
pca: [[-0.357069, 0.217350, -0.065964, 0.682198, 0.596121, -0.012419, 0.000000, 0.000000, 0.000000, 0.000000], [-0.030838, 0.277178, 0.503895, -0.419552, 0.427942, 0.556015, 0.000000, 0.000000, 0.000000, 0.000000], [0.193360, 0.257208, 0.767108, 0.302155, -0.247079, -0.394532, 0.000000, 0.000000, 0.000000, 0.000000], [-0.565845, 0.623958, -0.154826, -0.354138, -0.185102, -0.326876, 0.000000, 0.000000, 0.000000, 0.000000], [-0.251809, -0.522247, 0.228413, -0.336941, 0.438939, -0.552703, 0.000000, 0.000000, 0.000000, 0.000000], [0.671249, 0.384329, -0.277741, -0.168348, 0.416565, -0.350299, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.247564, 12.752250, 13.629587, 17.545775, 30.792977], [1.028314, 1.036060, 1.082096, 1.718165, 49.846216], [6.794215, 7.223314, 7.500766, 9.236571, 36.700732], [19.307103, 19.871014, 20.089528, 21.355301, 27.969822], [8.979103, 9.196284, 9.951163, 12.028631, 79.325705], [23.364571, 24.217447, 25.999707, 32.594438, 72.804388]]
### 8
mean: [0.669887, -0.153439, 0.565175, 0.514447, 0.007218, 0.366107]
std: [0.661173, 0.224339, 1.259606, 0.849389, 0.297718, 0.384006]
pca: [[-0.379033, 0.664819, 0.364942, -0.323904, 0.031500, -0.418642, 0.000000, 0.000000, 0.000000, 0.000000], [0.127930, 0.378945, -0.325963, -0.022023, 0.809348, 0.279739, 0.000000, 0.000000, 0.000000, 0.000000], [0.724080, 0.088098, 0.602865, -0.250347, 0.009681, 0.204287, 0.000000, 0.000000, 0.000000, 0.000000], [-0.488284, -0.001496, 0.219284, -0.233988, -0.117730, 0.803044, 0.000000, 0.000000, 0.000000, 0.000000], [-0.171048, 0.004182, 0.523943, 0.795667, 0.250325, 0.021470, 0.000000, 0.000000, 0.000000, 0.000000], [-0.219083, -0.637680, 0.272978, -0.379595, 0.517056, -0.243743, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.001490, 10.665128, 11.159183, 13.860455, 60.289839], [3.597124, 3.848146, 3.988376, 4.308196, 13.809512], [19.198898, 20.833263, 21.374579, 25.689627, 50.865753], [12.921833, 14.132288, 14.340390, 17.327820, 46.300196], [4.457714, 4.489375, 4.909069, 4.971196, 6.091504], [6.205906, 6.561035, 6.874881, 7.375604, 32.949631]]
### 10
mean: [0.378663, -0.349686, 0.052312, 0.138500, 0.026407, 0.590623]
std: [0.747055, 0.820062, 1.086463, 1.039932, 0.109922, 0.830439]
pca: [[-0.364808, -0.356044, 0.029867, 0.624574, 0.068909, 0.586869, 0.000000, 0.000000, 0.000000, 0.000000], [0.400205, -0.472855, 0.560536, 0.119278, -0.519858, -0.132526, 0.000000, 0.000000, 0.000000, 0.000000], [0.531163, 0.176536, -0.079086, -0.292958, -0.099107, 0.764722, 0.000000, 0.000000, 0.000000, 0.000000], [0.508030, 0.412839, -0.168726, 0.711271, 0.044618, -0.187358, 0.000000, 0.000000, 0.000000, 0.000000], [0.052335, 0.220903, 0.745139, -0.010425, 0.623455, 0.066520, 0.000000, 0.000000, 0.000000, 0.000000], [-0.404702, 0.631856, 0.308142, 0.061971, -0.569640, 0.117019, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.197484, 12.642788, 13.402621, 14.344828, 34.079645], [12.545500, 13.775375, 13.964082, 16.653641, 31.471779], [16.591411, 17.805811, 17.902984, 19.209309, 21.246578], [15.872604, 17.006454, 17.457396, 18.583079, 20.065704], [1.706624, 1.885196, 2.096873, 2.101798, 2.376632], [12.615179, 13.946593, 13.972660, 17.011198, 53.156098]]
### 12
mean: [-0.342457]
std: [0.521732]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.071532, 9.341898, 9.636460, 9.848240, 30.821128]]
## 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: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.952515,
0.378703,
0.77007,
-0.163053,
-0.815321
],
[
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0.314317,
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0.16646
],
[
0.010077,
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-0.485135,
-0.222113
],
[
-0.224516,
-0.077309,
-0.500662,
-0.057418,
-0.548684
],
[
0.624767,
-0.318578,
0.35042,
-0.436643,
-0.017592
],
[
-0.659511,
0.486773,
0.614899,
-0.020683,
-0.671874
]
],
"network.0.bias": [
0.084055,
0.158019,
0.265096,
-0.167272,
-0.224998,
-0.260587
],
"network.2.weight": [
[
-0.921235,
-0.648873,
-0.058199,
0.092425,
-0.485585,
-0.385213
],
[
-0.861852,
-0.422952,
0.623178,
-0.221653,
-0.297145,
-0.313695
],
[
-0.368838,
0.2954,
0.854139,
0.260763,
-0.383224,
-0.084365
],
[
-0.879381,
-0.186916,
0.606189,
0.021902,
-0.178058,
-0.302579
],
[
-0.882649,
0.037468,
0.418995,
0.291802,
-0.071381,
-0.35897
],
[
0.824649,
0.336899,
-0.525823,
0.107187,
-0.161662,
0.407722
]
],
"network.2.bias": [
0.217509,
-0.245461,
0.327479,
-0.477335,
-0.557593,
0.1299
],
"network.4.weight": [
[
0.129969,
0.213682,
-0.56783,
0.500828,
0.450262,
0.508218
],
[
1.144712,
0.358998,
-0.052696,
0.602648,
0.227663,
0.28347
],
[
0.299057,
0.450031,
-0.504076,
0.287878,
0.311609,
0.362735
],
[
-0.418055,
0.166643,
-0.155141,
-0.375646,
0.278613,
-0.191431
],
[
0.707532,
0.315332,
-0.402574,
0.670601,
0.24366,
-0.315765
],
[
0.642015,
0.558806,
-0.160558,
0.450401,
0.744115,
0.514524
]
],
"network.4.bias": [
0.077221,
-0.151969,
-0.021341,
0.246774,
-0.407387,
-0.179564
],
"network.6.weight": [
[
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],
[
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0.096135,
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0.091846
],
[
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0.052181,
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0.124855,
0.256982
],
[
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0.284223,
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],
[
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0.084318,
-0.287072,
-0.105888,
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],
[
0.611232,
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0.690091,
0.18938,
-0.20677,
0.638359
]
],
"network.6.bias": [
0.703903,
0.526073,
-0.611906,
0.285991,
-0.536307,
-0.022713
],
"network.8.weight": [
[
-0.100506,
0.069801,
0.211435,
-0.174464,
-0.592499,
0.389006
],
[
-0.010524,
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0.105551,
0.331464,
0.405273,
-0.14205
],
[
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0.617526,
-0.51711,
-0.540137
],
[
-0.066062,
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0.524361
],
[
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0.179166,
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0.031331,
0.185084
],
[
-0.067422,
0.606628,
-0.059706,
-0.518135,
0.043869,
0.207554
]
],
"network.8.bias": [
0.335253,
0.030186,
0.335639,
0.122936,
-0.178684,
0.104058
],
"network.10.weight": [
[
0.27741,
0.00443,
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0.200308,
-0.075517,
0.532229
],
[
-0.329324,
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0.195744,
-0.579277,
0.205471,
-0.198089
],
[
-0.249595,
0.070539,
0.504185,
-0.549944,
-0.162346,
-0.441978
],
[
-0.12958,
-0.081383,
0.651741,
-0.648015,
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0.06934
],
[
-0.385842,
-0.320687,
0.165209,
0.120027,
0.666277,
-0.0064
],
[
0.191515,
0.139062,
-0.151413,
0.553801,
0.492656,
0.226686
]
],
"network.10.bias": [
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-0.001371,
0.184671,
-0.009222,
0.01208,
0.259689
],
"network.12.weight": [
[
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-0.132043,
-0.220146,
-0.437589,
-0.176052,
0.135014
]
],
"network.12.bias": [
-0.254711
]
}
## Activation Signature
### 0
mean: [-0.157846, -0.186413, -1.867047, -2.433213, -0.254094, 0.217156]
std: [2.566825, 1.467036, 1.457800, 1.796955, 1.886391, 2.044459]
pca: [[0.714124, -0.199128, 0.192391, -0.021067, -0.318634, -0.558023, 0.000000, 0.000000, 0.000000, 0.000000], [0.269229, -0.004783, -0.095337, 0.880019, -0.132216, 0.355652, 0.000000, 0.000000, 0.000000, 0.000000], [0.038597, 0.362774, 0.619659, 0.240176, 0.612068, -0.224980, 0.000000, 0.000000, 0.000000, 0.000000], [0.233794, 0.758646, 0.166298, -0.245709, -0.414408, 0.331716, 0.000000, 0.000000, 0.000000, 0.000000], [-0.248629, -0.419402, 0.736221, -0.020277, -0.364909, 0.294440, 0.000000, 0.000000, 0.000000, 0.000000], [0.547336, -0.277991, 0.015577, -0.326579, 0.448857, 0.561048, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.289622, 38.129002, 40.922134, 50.145565, 51.434572], [22.880128, 23.109363, 25.367391, 25.516870, 27.883745], [22.251852, 25.588997, 25.591298, 27.444073, 168.034246], [32.332412, 33.825655, 35.123126, 35.765911, 218.989125], [27.482448, 27.612102, 31.310433, 35.699968, 38.385611], [30.133119, 30.140474, 33.129999, 37.239276, 41.653800]]
### 2
mean: [-1.400459, -1.580580, -0.219794, -1.685593, -1.689094, 1.235716]
std: [2.081424, 1.814444, 0.702833, 1.717853, 1.704806, 1.851683]
pca: [[0.500778, 0.418893, -0.499718, 0.473958, -0.256156, -0.183793, 0.000000, 0.000000, 0.000000, 0.000000], [0.440180, 0.184518, -0.240460, -0.518005, 0.220640, 0.630367, 0.000000, 0.000000, 0.000000, 0.000000], [0.136185, 0.587441, 0.612263, -0.285434, -0.405073, -0.126268, 0.000000, 0.000000, 0.000000, 0.000000], [0.417911, -0.012498, 0.135850, -0.175862, 0.640202, -0.604941, 0.000000, 0.000000, 0.000000, 0.000000], [0.411511, -0.214403, 0.546555, 0.558125, 0.137282, 0.394483, 0.000000, 0.000000, 0.000000, 0.000000], [-0.439233, 0.631878, 0.020431, 0.288323, 0.541214, 0.177042, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.166213, 34.411162, 34.679531, 41.112651, 126.041296], [28.211520, 29.978844, 30.504283, 36.762463, 142.252187], [11.208350, 12.340361, 12.906187, 14.625856, 19.781467], [25.913980, 27.622146, 28.271719, 35.449094, 151.703407], [25.504995, 26.070522, 27.591889, 35.592838, 152.018475], [28.163521, 28.731704, 31.193107, 38.640444, 111.214468]]
### 4
mean: [0.547347, 0.072086, 0.291696, -0.000335, -0.940841, 0.265311]
std: [1.062297, 0.602692, 0.776466, 0.336847, 0.496372, 1.059105]
pca: [[0.564810, -0.230319, 0.466127, -0.103903, -0.624365, 0.100202, 0.000000, 0.000000, 0.000000, 0.000000], [0.313872, 0.608076, -0.357811, -0.286926, -0.069462, 0.562626, 0.000000, 0.000000, 0.000000, 0.000000], [0.412927, 0.010147, 0.389860, -0.401481, 0.709932, -0.110485, 0.000000, 0.000000, 0.000000, 0.000000], [-0.176269, -0.117215, 0.411587, 0.432360, 0.237316, 0.736568, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249934, 0.730626, 0.548048, 0.106954, -0.146829, -0.265261, 0.000000, 0.000000, 0.000000, 0.000000], [0.564293, 0.171870, -0.181508, 0.739809, 0.153172, -0.219795, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.384087, 17.040204, 17.279535, 21.754292, 49.261232], [8.329706, 8.350880, 8.845579, 10.001217, 12.723038], [11.842014, 12.219803, 12.578672, 16.020296, 26.252662], [4.904209, 4.994735, 5.228431, 5.281360, 7.142219], [7.622951, 7.837475, 9.186935, 9.615960, 84.675716], [15.672897, 16.694918, 17.486638, 22.084469, 23.878027]]
### 6
mean: [0.342144, 0.553847, -0.407786, -0.220789, -0.881397, 0.808938]
std: [0.819984, 0.074609, 0.444667, 1.300005, 0.579496, 1.541438]
pca: [[-0.357069, 0.217350, -0.065964, 0.682198, 0.596121, -0.012419, 0.000000, 0.000000, 0.000000, 0.000000], [-0.030838, 0.277178, 0.503895, -0.419552, 0.427942, 0.556015, 0.000000, 0.000000, 0.000000, 0.000000], [0.193360, 0.257208, 0.767108, 0.302155, -0.247079, -0.394532, 0.000000, 0.000000, 0.000000, 0.000000], [-0.565845, 0.623958, -0.154826, -0.354138, -0.185102, -0.326876, 0.000000, 0.000000, 0.000000, 0.000000], [-0.251809, -0.522247, 0.228413, -0.336941, 0.438939, -0.552703, 0.000000, 0.000000, 0.000000, 0.000000], [0.671249, 0.384329, -0.277741, -0.168348, 0.416565, -0.350299, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.247564, 12.752250, 13.629587, 17.545775, 30.792977], [1.028314, 1.036060, 1.082096, 1.718165, 49.846216], [6.794215, 7.223314, 7.500766, 9.236571, 36.700732], [19.307103, 19.871014, 20.089528, 21.355301, 27.969822], [8.979103, 9.196284, 9.951163, 12.028631, 79.325705], [23.364571, 24.217447, 25.999707, 32.594438, 72.804388]]
### 8
mean: [0.669887, -0.153439, 0.565175, 0.514447, 0.007218, 0.366107]
std: [0.661173, 0.224339, 1.259606, 0.849389, 0.297718, 0.384006]
pca: [[-0.379033, 0.664819, 0.364942, -0.323904, 0.031500, -0.418642, 0.000000, 0.000000, 0.000000, 0.000000], [0.127930, 0.378945, -0.325963, -0.022023, 0.809348, 0.279739, 0.000000, 0.000000, 0.000000, 0.000000], [0.724080, 0.088098, 0.602865, -0.250347, 0.009681, 0.204287, 0.000000, 0.000000, 0.000000, 0.000000], [-0.488284, -0.001496, 0.219284, -0.233988, -0.117730, 0.803044, 0.000000, 0.000000, 0.000000, 0.000000], [-0.171048, 0.004182, 0.523943, 0.795667, 0.250325, 0.021470, 0.000000, 0.000000, 0.000000, 0.000000], [-0.219083, -0.637680, 0.272978, -0.379595, 0.517056, -0.243743, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.001490, 10.665128, 11.159183, 13.860455, 60.289839], [3.597124, 3.848146, 3.988376, 4.308196, 13.809512], [19.198898, 20.833263, 21.374579, 25.689627, 50.865753], [12.921833, 14.132288, 14.340390, 17.327820, 46.300196], [4.457714, 4.489375, 4.909069, 4.971196, 6.091504], [6.205906, 6.561035, 6.874881, 7.375604, 32.949631]]
### 10
mean: [0.378663, -0.349686, 0.052312, 0.138500, 0.026407, 0.590623]
std: [0.747055, 0.820062, 1.086463, 1.039932, 0.109922, 0.830439]
pca: [[-0.364808, -0.356044, 0.029867, 0.624574, 0.068909, 0.586869, 0.000000, 0.000000, 0.000000, 0.000000], [0.400205, -0.472855, 0.560536, 0.119278, -0.519858, -0.132526, 0.000000, 0.000000, 0.000000, 0.000000], [0.531163, 0.176536, -0.079086, -0.292958, -0.099107, 0.764722, 0.000000, 0.000000, 0.000000, 0.000000], [0.508030, 0.412839, -0.168726, 0.711271, 0.044618, -0.187358, 0.000000, 0.000000, 0.000000, 0.000000], [0.052335, 0.220903, 0.745139, -0.010425, 0.623455, 0.066520, 0.000000, 0.000000, 0.000000, 0.000000], [-0.404702, 0.631856, 0.308142, 0.061971, -0.569640, 0.117019, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.197484, 12.642788, 13.402621, 14.344828, 34.079645], [12.545500, 13.775375, 13.964082, 16.653641, 31.471779], [16.591411, 17.805811, 17.902984, 19.209309, 21.246578], [15.872604, 17.006454, 17.457396, 18.583079, 20.065704], [1.706624, 1.885196, 2.096873, 2.101798, 2.376632], [12.615179, 13.946593, 13.972660, 17.011198, 53.156098]]
### 12
mean: [-0.342457]
std: [0.521732]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.071532, 9.341898, 9.636460, 9.848240, 30.821128]]
## 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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{"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": "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": [[-0.952515, 0.378703, 0.77007, -0.163053, -0.815321], [-0.755572, -0.010607, 0.314317, -0.115046, 0.16646], [0.010077, -0.273088, -0.159306, -0.485135, -0.222113], [-0.224516, -0.077309, -0.500662, -0.057418, -0.548684], [0.624767, -0.318578, 0.35042, -0.436643, -0.017592], [-0.659511, 0.486773, 0.614899, -0.020683, -0.671874]], "network.0.bias": [0.084055, 0.158019, 0.265096, -0.167272, -0.224998, -0.260587], "network.2.weight": [[-0.921235, -0.648873, -0.058199, 0.092425, -0.485585, -0.385213], [-0.861852, -0.422952, 0.623178, -0.221653, -0.297145, -0.313695], [-0.368838, 0.2954, 0.854139, 0.260763, -0.383224, -0.084365], [-0.879381, -0.186916, 0.606189, 0.021902, -0.178058, -0.302579], [-0.882649, 0.037468, 0.418995, 0.291802, -0.071381, -0.35897], [0.824649, 0.336899, -0.525823, 0.107187, -0.161662, 0.407722]], "network.2.bias": [0.217509, -0.245461, 0.327479, -0.477335, -0.557593, 0.1299], "network.4.weight": [[0.129969, 0.213682, -0.56783, 0.500828, 0.450262, 0.508218], [1.144712, 0.358998, -0.052696, 0.602648, 0.227663, 0.28347], [0.299057, 0.450031, -0.504076, 0.287878, 0.311609, 0.362735], [-0.418055, 0.166643, -0.155141, -0.375646, 0.278613, -0.191431], [0.707532, 0.315332, -0.402574, 0.670601, 0.24366, -0.315765], [0.642015, 0.558806, -0.160558, 0.450401, 0.744115, 0.514524]], "network.4.bias": [0.077221, -0.151969, -0.021341, 0.246774, -0.407387, -0.179564], "network.6.weight": [[-0.110528, -0.112992, -0.349429, 0.1199, -0.03339, -0.43074], [-0.054045, -0.366715, 0.096135, -0.134401, -0.365738, 0.091846], [0.269411, -0.284335, 0.052181, -0.211844, 0.124855, 0.256982], [-0.152068, -0.58977, -0.676635, 0.284223, -0.305484, -0.392717], [-0.569376, 0.329026, 0.084318, -0.287072, -0.105888, -0.254647], [0.611232, -0.265376, 0.690091, 0.18938, -0.20677, 0.638359]], "network.6.bias": [0.703903, 0.526073, -0.611906, 0.285991, -0.536307, -0.022713], "network.8.weight": [[-0.100506, 0.069801, 0.211435, -0.174464, -0.592499, 0.389006], [-0.010524, -0.189385, 0.105551, 0.331464, 0.405273, -0.14205], [0.683595, 0.366615, -0.427097, 0.617526, -0.51711, -0.540137], [-0.066062, 0.189888, -0.237627, -0.58838, -0.202931, 0.524361], [0.120384, 0.179166, -0.003158, -0.373108, 0.031331, 0.185084], [-0.067422, 0.606628, -0.059706, -0.518135, 0.043869, 0.207554]], "network.8.bias": [0.335253, 0.030186, 0.335639, 0.122936, -0.178684, 0.104058], "network.10.weight": [[0.27741, 0.00443, -0.409313, 0.200308, -0.075517, 0.532229], [-0.329324, -0.195754, 0.195744, -0.579277, 0.205471, -0.198089], [-0.249595, 0.070539, 0.504185, -0.549944, -0.162346, -0.441978], [-0.12958, -0.081383, 0.651741, -0.648015, -0.436686, 0.06934], [-0.385842, -0.320687, 0.165209, 0.120027, 0.666277, -0.0064], [0.191515, 0.139062, -0.151413, 0.553801, 0.492656, 0.226686]], "network.10.bias": [0.311838, -0.001371, 0.184671, -0.009222, 0.01208, 0.259689], "network.12.weight": [[0.266514, -0.132043, -0.220146, -0.437589, -0.176052, 0.135014]], "network.12.bias": [-0.254711]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6820191144943237, "train_acc": 0.575, "val_loss": 0.7141819000244141, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6834113597869873, "train_acc": 0.575, "val_loss": 0.7046821117401123, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6812730729579926, "train_acc": 0.575, "val_loss": 0.6746621131896973, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6361016631126404, "train_acc": 0.575, "val_loss": 0.5568576455116272, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.68202343583107, "train_acc": 0.72, "val_loss": 0.6095452308654785, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5453995168209076, "train_acc": 0.79, "val_loss": 0.5497308969497681, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5106927305459976, "train_acc": 0.81, "val_loss": 0.5352805852890015, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5319811999797821, "train_acc": 0.815, "val_loss": 0.5536527633666992, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.5301697850227356, "train_acc": 0.815, "val_loss": 0.5121764540672302, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.44347040355205536, "train_acc": 0.825, "val_loss": 0.48264846205711365, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.4053695648908615, "train_acc": 0.835, "val_loss": 0.5354540348052979, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.4372998774051666, "train_acc": 0.845, "val_loss": 0.537816047668457, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3879351019859314, "train_acc": 0.845, "val_loss": 0.592109739780426, "val_acc": 0.78}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7141819000244141, "final_val_loss": 0.6746621131896973, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5568576455116272, "final_val_loss": 0.592109739780426, "initial_val_acc": 0.76, "final_val_acc": 0.78, "best_val_acc": 0.84, "best_epoch": 6}, "improvement": 0.33999999999999997, "first_improvement_epoch": 2}}
|
9,604
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.6, "improved_accuracy": 0.86, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4320, "learning_rate": 0.06016941171022723, "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: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.12.weight": [
[
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0.13218,
0.467614,
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],
"network.12.bias": [
-0.291782
]
}
## Activation Signature
### 0
mean: [2.101705, 0.393991, -0.928976, 2.015344, -1.346866, -0.703354, 0.156964]
std: [1.516746, 2.043083, 1.754848, 1.326520, 1.995910, 1.307833, 1.372643]
pca: [[0.114653, 0.669243, -0.245711, -0.147081, 0.610676, -0.284687, -0.054682, 0.000000, 0.000000, 0.000000], [0.599326, 0.097675, -0.278224, 0.255570, 0.033575, 0.680807, -0.154657, 0.000000, 0.000000, 0.000000], [0.349502, -0.500074, -0.376708, -0.497888, 0.196168, -0.114578, 0.431698, 0.000000, 0.000000, 0.000000], [-0.265408, 0.446137, -0.229389, -0.073140, -0.358965, 0.276347, 0.683614, 0.000000, 0.000000, 0.000000], [0.474792, 0.212729, 0.768905, -0.280144, -0.046314, 0.027296, 0.238187, 0.000000, 0.000000, 0.000000], [0.279130, -0.067691, 0.003536, 0.746123, 0.045417, -0.419863, 0.427136, 0.000000, 0.000000, 0.000000], [-0.362946, -0.208869, 0.276516, 0.156940, 0.674093, 0.434661, 0.283234, 0.000000, 0.000000, 0.000000]]
fourier: [[23.587136, 23.714617, 24.369827, 30.250744, 189.153423], [28.986047, 30.600710, 31.229705, 35.459205, 36.427032], [25.453568, 27.056908, 30.141768, 31.569017, 83.607826], [20.417717, 21.709553, 22.295908, 26.435859, 181.380971], [27.933269, 29.309002, 37.816083, 43.612118, 121.217977], [18.444480, 19.020873, 21.204953, 27.500255, 63.301891], [19.994396, 20.220063, 20.524910, 21.810437, 25.533293]]
### 2
mean: [1.142176, -0.359160, 0.826307, -0.092618, -1.318926, -0.349141, 0.946322]
std: [0.812493, 1.378693, 0.619608, 1.295117, 0.615968, 0.888663, 0.712473]
pca: [[-0.137266, 0.768199, -0.060438, 0.285139, -0.186440, 0.403085, 0.329900, 0.000000, 0.000000, 0.000000], [0.643441, 0.036976, -0.205577, -0.248333, -0.589932, -0.218112, 0.291705, 0.000000, 0.000000, 0.000000], [0.131022, -0.031229, 0.604257, -0.568593, 0.012716, 0.535203, 0.082637, 0.000000, 0.000000, 0.000000], [0.607315, -0.005544, -0.089457, 0.225728, 0.689184, 0.131810, 0.282548, 0.000000, 0.000000, 0.000000], [0.001553, -0.559293, -0.304227, 0.312696, -0.283035, 0.644905, 0.029075, 0.000000, 0.000000, 0.000000], [-0.399918, -0.275162, 0.005392, -0.117878, 0.078462, -0.181559, 0.843390, 0.000000, 0.000000, 0.000000], [0.145624, -0.137749, 0.698836, 0.609181, -0.236258, -0.193048, 0.085207, 0.000000, 0.000000, 0.000000]]
fourier: [[12.887176, 13.140794, 15.615650, 17.179321, 102.795856], [19.196762, 19.421522, 20.067546, 20.246451, 32.324366], [10.263032, 10.322444, 10.735190, 12.030121, 74.367633], [17.131588, 17.224086, 21.439371, 21.740911, 21.955559], [9.281672, 9.957311, 10.649509, 11.856593, 118.703313], [13.766168, 13.769914, 14.495080, 16.592470, 31.422731], [10.195160, 10.307226, 11.176071, 17.242374, 85.168965]]
### 4
mean: [-0.064518, 0.195698, 0.083076, 0.015048, 0.762339, 1.675047, 0.408752]
std: [0.857688, 0.497034, 0.439753, 0.598940, 0.757578, 1.367805, 0.828319]
pca: [[-0.398549, 0.424912, 0.148126, -0.332608, -0.054038, 0.202389, 0.695814, 0.000000, 0.000000, 0.000000], [0.229871, 0.020066, -0.428915, 0.345445, 0.218867, 0.751810, 0.174169, 0.000000, 0.000000, 0.000000], [0.202291, -0.221603, -0.050139, -0.400314, 0.823453, -0.183868, 0.187944, 0.000000, 0.000000, 0.000000], [-0.254737, 0.669257, -0.152449, -0.131688, 0.319153, 0.075544, -0.582286, 0.000000, 0.000000, 0.000000], [0.345384, 0.465857, 0.306803, 0.592058, 0.216292, -0.334823, 0.245230, 0.000000, 0.000000, 0.000000], [0.644528, 0.322761, -0.394042, -0.416489, -0.349530, -0.154671, 0.074714, 0.000000, 0.000000, 0.000000], [0.384446, 0.028926, 0.720374, -0.261631, -0.017029, 0.467200, -0.213093, 0.000000, 0.000000, 0.000000]]
fourier: [[11.694288, 11.829262, 13.944979, 14.649294, 20.236552], [7.225557, 7.658326, 7.802270, 12.161726, 17.612816], [6.425479, 6.754470, 7.114555, 7.476845, 10.223716], [8.192204, 8.321020, 10.943161, 10.979556, 12.516276], [10.867414, 11.712950, 12.232280, 19.545842, 68.610560], [19.139697, 20.259624, 21.062214, 34.788454, 150.754191], [10.999171, 12.525155, 12.631616, 20.817791, 36.787715]]
### 6
mean: [-0.365403, 1.403340, 1.025347, 0.313587, -0.054393, -0.492477, 0.724156]
std: [0.420967, 1.758814, 0.922952, 0.765894, 0.171740, 1.371590, 1.205089]
pca: [[0.139783, 0.442121, 0.656421, 0.213354, 0.091727, 0.013568, -0.547707, 0.000000, 0.000000, 0.000000], [0.622620, -0.117870, -0.409202, 0.024785, -0.093961, -0.473290, -0.444476, 0.000000, 0.000000, 0.000000], [0.324993, -0.247969, -0.112844, 0.671881, -0.020515, 0.606529, 0.020849, 0.000000, 0.000000, 0.000000], [0.269279, 0.206547, -0.212108, -0.618335, 0.233370, 0.600617, -0.205660, 0.000000, 0.000000, 0.000000], [0.041060, -0.429453, 0.157516, 0.008073, 0.875921, -0.147544, -0.001220, 0.000000, 0.000000, 0.000000], [-0.483507, 0.399993, -0.562591, 0.319289, 0.314082, -0.014884, -0.298167, 0.000000, 0.000000, 0.000000], [0.423331, 0.584860, -0.051198, 0.134507, 0.248979, -0.158757, 0.608952, 0.000000, 0.000000, 0.000000]]
fourier: [[5.819656, 6.857229, 7.110910, 9.397344, 32.886265], [25.972972, 26.405053, 26.474284, 44.483582, 126.300607], [13.089631, 13.826730, 14.408280, 23.446160, 92.281261], [11.377899, 11.660896, 12.066245, 18.668060, 28.222841], [2.569287, 2.635397, 2.900098, 3.426296, 4.895348], [18.597295, 19.897144, 21.349619, 34.881827, 44.322954], [17.222612, 19.067926, 19.613415, 29.274224, 65.174028]]
### 8
mean: [-0.204883, -0.807813, 1.193202, -0.810484, -0.294613, -0.662075, 0.669125]
std: [1.113800, 0.525662, 1.601568, 1.342992, 1.162020, 0.368374, 0.930697]
pca: [[-0.388750, -0.202358, 0.237150, 0.057996, 0.724716, 0.368593, -0.295377, 0.000000, 0.000000, 0.000000], [-0.181739, 0.363246, 0.233009, 0.764885, 0.139971, -0.329516, 0.259822, 0.000000, 0.000000, 0.000000], [0.559224, 0.205796, 0.095598, 0.401232, -0.144316, 0.499854, -0.451785, 0.000000, 0.000000, 0.000000], [-0.467240, 0.625493, -0.523281, -0.067201, -0.093919, 0.307411, -0.093720, 0.000000, 0.000000, 0.000000], [-0.405167, 0.098853, 0.698515, -0.156928, -0.527625, 0.137846, -0.126998, 0.000000, 0.000000, 0.000000], [-0.126299, -0.392971, -0.120999, 0.279447, -0.212031, 0.579803, 0.596458, 0.000000, 0.000000, 0.000000], [0.323555, 0.478865, 0.322397, -0.378637, 0.319692, 0.236708, 0.510353, 0.000000, 0.000000, 0.000000]]
fourier: [[16.108020, 16.487098, 17.575836, 18.439468, 27.845141], [7.109878, 7.710405, 8.639151, 12.936196, 72.703127], [22.816275, 23.567592, 25.591422, 40.303657, 107.388148], [17.318547, 19.686368, 22.345410, 33.887734, 72.943583], [16.505051, 16.659744, 18.351964, 26.515193, 29.130599], [5.635641, 5.701395, 6.114889, 8.978159, 59.586710], [14.092325, 14.274277, 14.570691, 23.129925, 60.221218]]
### 10
mean: [-0.064467, -0.078348, -0.255295, -0.288633, 0.018552, 0.137762, -0.213287]
std: [0.814004, 0.794556, 0.693258, 0.596231, 0.473916, 0.866604, 0.873104]
pca: [[0.414134, 0.282196, -0.390665, -0.007024, 0.615480, -0.085287, 0.458368, 0.000000, 0.000000, 0.000000], [0.403623, 0.559227, 0.580469, -0.026148, 0.020967, -0.309870, -0.300444, 0.000000, 0.000000, 0.000000], [0.352139, -0.512010, 0.141270, 0.134402, 0.496009, 0.297676, -0.491108, 0.000000, 0.000000, 0.000000], [0.303275, -0.217970, 0.507409, 0.258650, -0.208994, 0.302033, 0.633440, 0.000000, 0.000000, 0.000000], [-0.240597, 0.346882, -0.085968, 0.867792, 0.076752, 0.201565, -0.121708, 0.000000, 0.000000, 0.000000], [-0.440876, 0.313124, 0.315088, -0.371762, 0.375247, 0.569485, 0.070500, 0.000000, 0.000000, 0.000000], [0.444235, 0.282119, -0.355450, -0.151768, -0.429349, 0.593237, -0.193432, 0.000000, 0.000000, 0.000000]]
fourier: [[11.363884, 11.969345, 13.401351, 13.585974, 19.754215], [11.095758, 12.157477, 12.816894, 12.892505, 19.418827], [9.719498, 11.987650, 12.182617, 16.351781, 22.976543], [8.643553, 10.135022, 10.277351, 14.209396, 25.976951], [6.649196, 6.676025, 8.168624, 8.193347, 11.178466], [12.316777, 12.398556, 14.730571, 15.021586, 20.646969], [12.858348, 14.383415, 14.550445, 19.195792, 21.168117]]
### 12
mean: [-0.275183]
std: [0.640760]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.253042, 11.741263, 11.967489, 14.258668, 24.766514]]
## 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: 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.bias": [
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]
}
## Activation Signature
### 0
mean: [2.101705, 0.393991, -0.928976, 2.015344, -1.346866, -0.703354, 0.156964]
std: [1.516746, 2.043083, 1.754848, 1.326520, 1.995910, 1.307833, 1.372643]
pca: [[0.114653, 0.669243, -0.245711, -0.147081, 0.610676, -0.284687, -0.054682, 0.000000, 0.000000, 0.000000], [0.599326, 0.097675, -0.278224, 0.255570, 0.033575, 0.680807, -0.154657, 0.000000, 0.000000, 0.000000], [0.349502, -0.500074, -0.376708, -0.497888, 0.196168, -0.114578, 0.431698, 0.000000, 0.000000, 0.000000], [-0.265408, 0.446137, -0.229389, -0.073140, -0.358965, 0.276347, 0.683614, 0.000000, 0.000000, 0.000000], [0.474792, 0.212729, 0.768905, -0.280144, -0.046314, 0.027296, 0.238187, 0.000000, 0.000000, 0.000000], [0.279130, -0.067691, 0.003536, 0.746123, 0.045417, -0.419863, 0.427136, 0.000000, 0.000000, 0.000000], [-0.362946, -0.208869, 0.276516, 0.156940, 0.674093, 0.434661, 0.283234, 0.000000, 0.000000, 0.000000]]
fourier: [[23.587136, 23.714617, 24.369827, 30.250744, 189.153423], [28.986047, 30.600710, 31.229705, 35.459205, 36.427032], [25.453568, 27.056908, 30.141768, 31.569017, 83.607826], [20.417717, 21.709553, 22.295908, 26.435859, 181.380971], [27.933269, 29.309002, 37.816083, 43.612118, 121.217977], [18.444480, 19.020873, 21.204953, 27.500255, 63.301891], [19.994396, 20.220063, 20.524910, 21.810437, 25.533293]]
### 2
mean: [1.142176, -0.359160, 0.826307, -0.092618, -1.318926, -0.349141, 0.946322]
std: [0.812493, 1.378693, 0.619608, 1.295117, 0.615968, 0.888663, 0.712473]
pca: [[-0.137266, 0.768199, -0.060438, 0.285139, -0.186440, 0.403085, 0.329900, 0.000000, 0.000000, 0.000000], [0.643441, 0.036976, -0.205577, -0.248333, -0.589932, -0.218112, 0.291705, 0.000000, 0.000000, 0.000000], [0.131022, -0.031229, 0.604257, -0.568593, 0.012716, 0.535203, 0.082637, 0.000000, 0.000000, 0.000000], [0.607315, -0.005544, -0.089457, 0.225728, 0.689184, 0.131810, 0.282548, 0.000000, 0.000000, 0.000000], [0.001553, -0.559293, -0.304227, 0.312696, -0.283035, 0.644905, 0.029075, 0.000000, 0.000000, 0.000000], [-0.399918, -0.275162, 0.005392, -0.117878, 0.078462, -0.181559, 0.843390, 0.000000, 0.000000, 0.000000], [0.145624, -0.137749, 0.698836, 0.609181, -0.236258, -0.193048, 0.085207, 0.000000, 0.000000, 0.000000]]
fourier: [[12.887176, 13.140794, 15.615650, 17.179321, 102.795856], [19.196762, 19.421522, 20.067546, 20.246451, 32.324366], [10.263032, 10.322444, 10.735190, 12.030121, 74.367633], [17.131588, 17.224086, 21.439371, 21.740911, 21.955559], [9.281672, 9.957311, 10.649509, 11.856593, 118.703313], [13.766168, 13.769914, 14.495080, 16.592470, 31.422731], [10.195160, 10.307226, 11.176071, 17.242374, 85.168965]]
### 4
mean: [-0.064518, 0.195698, 0.083076, 0.015048, 0.762339, 1.675047, 0.408752]
std: [0.857688, 0.497034, 0.439753, 0.598940, 0.757578, 1.367805, 0.828319]
pca: [[-0.398549, 0.424912, 0.148126, -0.332608, -0.054038, 0.202389, 0.695814, 0.000000, 0.000000, 0.000000], [0.229871, 0.020066, -0.428915, 0.345445, 0.218867, 0.751810, 0.174169, 0.000000, 0.000000, 0.000000], [0.202291, -0.221603, -0.050139, -0.400314, 0.823453, -0.183868, 0.187944, 0.000000, 0.000000, 0.000000], [-0.254737, 0.669257, -0.152449, -0.131688, 0.319153, 0.075544, -0.582286, 0.000000, 0.000000, 0.000000], [0.345384, 0.465857, 0.306803, 0.592058, 0.216292, -0.334823, 0.245230, 0.000000, 0.000000, 0.000000], [0.644528, 0.322761, -0.394042, -0.416489, -0.349530, -0.154671, 0.074714, 0.000000, 0.000000, 0.000000], [0.384446, 0.028926, 0.720374, -0.261631, -0.017029, 0.467200, -0.213093, 0.000000, 0.000000, 0.000000]]
fourier: [[11.694288, 11.829262, 13.944979, 14.649294, 20.236552], [7.225557, 7.658326, 7.802270, 12.161726, 17.612816], [6.425479, 6.754470, 7.114555, 7.476845, 10.223716], [8.192204, 8.321020, 10.943161, 10.979556, 12.516276], [10.867414, 11.712950, 12.232280, 19.545842, 68.610560], [19.139697, 20.259624, 21.062214, 34.788454, 150.754191], [10.999171, 12.525155, 12.631616, 20.817791, 36.787715]]
### 6
mean: [-0.365403, 1.403340, 1.025347, 0.313587, -0.054393, -0.492477, 0.724156]
std: [0.420967, 1.758814, 0.922952, 0.765894, 0.171740, 1.371590, 1.205089]
pca: [[0.139783, 0.442121, 0.656421, 0.213354, 0.091727, 0.013568, -0.547707, 0.000000, 0.000000, 0.000000], [0.622620, -0.117870, -0.409202, 0.024785, -0.093961, -0.473290, -0.444476, 0.000000, 0.000000, 0.000000], [0.324993, -0.247969, -0.112844, 0.671881, -0.020515, 0.606529, 0.020849, 0.000000, 0.000000, 0.000000], [0.269279, 0.206547, -0.212108, -0.618335, 0.233370, 0.600617, -0.205660, 0.000000, 0.000000, 0.000000], [0.041060, -0.429453, 0.157516, 0.008073, 0.875921, -0.147544, -0.001220, 0.000000, 0.000000, 0.000000], [-0.483507, 0.399993, -0.562591, 0.319289, 0.314082, -0.014884, -0.298167, 0.000000, 0.000000, 0.000000], [0.423331, 0.584860, -0.051198, 0.134507, 0.248979, -0.158757, 0.608952, 0.000000, 0.000000, 0.000000]]
fourier: [[5.819656, 6.857229, 7.110910, 9.397344, 32.886265], [25.972972, 26.405053, 26.474284, 44.483582, 126.300607], [13.089631, 13.826730, 14.408280, 23.446160, 92.281261], [11.377899, 11.660896, 12.066245, 18.668060, 28.222841], [2.569287, 2.635397, 2.900098, 3.426296, 4.895348], [18.597295, 19.897144, 21.349619, 34.881827, 44.322954], [17.222612, 19.067926, 19.613415, 29.274224, 65.174028]]
### 8
mean: [-0.204883, -0.807813, 1.193202, -0.810484, -0.294613, -0.662075, 0.669125]
std: [1.113800, 0.525662, 1.601568, 1.342992, 1.162020, 0.368374, 0.930697]
pca: [[-0.388750, -0.202358, 0.237150, 0.057996, 0.724716, 0.368593, -0.295377, 0.000000, 0.000000, 0.000000], [-0.181739, 0.363246, 0.233009, 0.764885, 0.139971, -0.329516, 0.259822, 0.000000, 0.000000, 0.000000], [0.559224, 0.205796, 0.095598, 0.401232, -0.144316, 0.499854, -0.451785, 0.000000, 0.000000, 0.000000], [-0.467240, 0.625493, -0.523281, -0.067201, -0.093919, 0.307411, -0.093720, 0.000000, 0.000000, 0.000000], [-0.405167, 0.098853, 0.698515, -0.156928, -0.527625, 0.137846, -0.126998, 0.000000, 0.000000, 0.000000], [-0.126299, -0.392971, -0.120999, 0.279447, -0.212031, 0.579803, 0.596458, 0.000000, 0.000000, 0.000000], [0.323555, 0.478865, 0.322397, -0.378637, 0.319692, 0.236708, 0.510353, 0.000000, 0.000000, 0.000000]]
fourier: [[16.108020, 16.487098, 17.575836, 18.439468, 27.845141], [7.109878, 7.710405, 8.639151, 12.936196, 72.703127], [22.816275, 23.567592, 25.591422, 40.303657, 107.388148], [17.318547, 19.686368, 22.345410, 33.887734, 72.943583], [16.505051, 16.659744, 18.351964, 26.515193, 29.130599], [5.635641, 5.701395, 6.114889, 8.978159, 59.586710], [14.092325, 14.274277, 14.570691, 23.129925, 60.221218]]
### 10
mean: [-0.064467, -0.078348, -0.255295, -0.288633, 0.018552, 0.137762, -0.213287]
std: [0.814004, 0.794556, 0.693258, 0.596231, 0.473916, 0.866604, 0.873104]
pca: [[0.414134, 0.282196, -0.390665, -0.007024, 0.615480, -0.085287, 0.458368, 0.000000, 0.000000, 0.000000], [0.403623, 0.559227, 0.580469, -0.026148, 0.020967, -0.309870, -0.300444, 0.000000, 0.000000, 0.000000], [0.352139, -0.512010, 0.141270, 0.134402, 0.496009, 0.297676, -0.491108, 0.000000, 0.000000, 0.000000], [0.303275, -0.217970, 0.507409, 0.258650, -0.208994, 0.302033, 0.633440, 0.000000, 0.000000, 0.000000], [-0.240597, 0.346882, -0.085968, 0.867792, 0.076752, 0.201565, -0.121708, 0.000000, 0.000000, 0.000000], [-0.440876, 0.313124, 0.315088, -0.371762, 0.375247, 0.569485, 0.070500, 0.000000, 0.000000, 0.000000], [0.444235, 0.282119, -0.355450, -0.151768, -0.429349, 0.593237, -0.193432, 0.000000, 0.000000, 0.000000]]
fourier: [[11.363884, 11.969345, 13.401351, 13.585974, 19.754215], [11.095758, 12.157477, 12.816894, 12.892505, 19.418827], [9.719498, 11.987650, 12.182617, 16.351781, 22.976543], [8.643553, 10.135022, 10.277351, 14.209396, 25.976951], [6.649196, 6.676025, 8.168624, 8.193347, 11.178466], [12.316777, 12.398556, 14.730571, 15.021586, 20.646969], [12.858348, 14.383415, 14.550445, 19.195792, 21.168117]]
### 12
mean: [-0.275183]
std: [0.640760]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.253042, 11.741263, 11.967489, 14.258668, 24.766514]]
## 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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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6839799284934998, "train_acc": 0.57, "val_loss": 0.6943176984786987, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6817304790019989, "train_acc": 0.57, "val_loss": 0.6947839260101318, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6741468012332916, "train_acc": 0.57, "val_loss": 0.650947630405426, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6401077806949615, "train_acc": 0.625, "val_loss": 0.5084081888198853, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4953114986419678, "train_acc": 0.765, "val_loss": 0.47714096307754517, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.48121827840805054, "train_acc": 0.775, "val_loss": 0.5768551826477051, "val_acc": 0.66}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5548282265663147, "train_acc": 0.695, "val_loss": 0.6123291850090027, "val_acc": 0.66}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4538892060518265, "train_acc": 0.77, "val_loss": 0.6761592626571655, "val_acc": 0.74}], "summary": {"total_epochs": 8, "degraded_epochs": 3, "improved_epochs": 5, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.6943176984786987, "final_val_loss": 0.650947630405426, "initial_val_acc": 0.52, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.5084081888198853, "final_val_loss": 0.6761592626571655, "initial_val_acc": 0.86, "final_val_acc": 0.74, "best_val_acc": 0.86, "best_epoch": 3}, "improvement": 0.26, "first_improvement_epoch": 2}}
|
9,605
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.68, "improved_accuracy": 0.94, "improvement": 0.2599999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2529, "learning_rate": 0.03790986887830381, "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: 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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"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: [2.637274, 0.912868, 0.450396, 1.881752, 2.037446, 0.567885, 0.387166]
std: [2.398167, 1.458236, 1.992264, 1.579421, 1.598187, 1.457772, 0.983330]
pca: [[0.678999, 0.387984, 0.120179, 0.028119, -0.154289, -0.541370, 0.237294, 0.000000, 0.000000, 0.000000], [0.271657, -0.348983, 0.317115, -0.429013, 0.709967, -0.008743, 0.125181, 0.000000, 0.000000, 0.000000], [0.485641, -0.523096, -0.043664, -0.244824, -0.555226, 0.340285, -0.067891, 0.000000, 0.000000, 0.000000], [0.329444, 0.545370, 0.124690, 0.094726, 0.180578, 0.715066, -0.159969, 0.000000, 0.000000, 0.000000], [-0.112063, -0.075866, 0.866095, 0.195739, -0.197385, -0.102450, -0.379204, 0.000000, 0.000000, 0.000000], [-0.324017, 0.267769, 0.306436, -0.523405, -0.298139, 0.166474, 0.582114, 0.000000, 0.000000, 0.000000], [0.056900, -0.281363, 0.153357, 0.658771, 0.058403, 0.203763, 0.644337, 0.000000, 0.000000, 0.000000]]
fourier: [[37.958749, 42.117214, 42.461155, 43.062760, 237.354658], [24.532648, 25.357952, 26.930651, 30.485848, 82.158137], [33.670515, 33.739172, 33.825366, 40.535660, 42.978166], [24.272497, 24.942129, 29.194235, 30.931631, 169.357692], [24.805685, 25.527116, 27.403463, 29.559721, 183.370094], [24.103727, 25.205115, 26.181881, 30.552501, 51.109610], [16.326411, 17.500907, 18.643795, 20.989221, 34.844958]]
### 2
mean: [1.783263, 2.090482, -1.032169, -1.088554, -0.608777, 2.973775, 1.471552]
std: [1.396114, 2.031179, 2.452695, 0.683665, 0.716728, 2.825513, 1.305009]
pca: [[0.267757, 0.254288, 0.575199, 0.412277, -0.528449, -0.156435, -0.243079, 0.000000, 0.000000, 0.000000], [0.439180, 0.276856, -0.423008, -0.188344, -0.509707, 0.101075, 0.496029, 0.000000, 0.000000, 0.000000], [-0.518111, 0.650492, -0.091023, 0.359181, 0.055788, 0.387809, 0.132724, 0.000000, 0.000000, 0.000000], [-0.111487, -0.340207, 0.041829, -0.181099, -0.399130, 0.762783, -0.310066, 0.000000, 0.000000, 0.000000], [-0.031089, -0.431313, 0.359956, 0.349187, 0.052519, 0.187834, 0.723507, 0.000000, 0.000000, 0.000000], [0.631808, 0.250395, 0.205716, -0.027701, 0.542600, 0.442879, -0.066923, 0.000000, 0.000000, 0.000000], [0.233262, -0.266606, -0.555237, 0.714176, 0.036740, 0.040684, -0.230585, 0.000000, 0.000000, 0.000000]]
fourier: [[21.847060, 22.656955, 26.322086, 28.464413, 160.493694], [31.605046, 33.652596, 34.991614, 37.658077, 188.143431], [38.038931, 39.222294, 40.428772, 47.606207, 92.895210], [11.163205, 11.916113, 12.933708, 13.031713, 97.969863], [11.065931, 11.188697, 12.541552, 13.671050, 54.789940], [45.375214, 45.578106, 53.859803, 58.212065, 267.639806], [21.250711, 23.537922, 23.569056, 23.845254, 132.439726]]
### 4
mean: [-1.156113, -0.314950, -0.808813, 3.370982, -0.493143, 3.378518, -2.389411]
std: [1.393739, 0.122300, 1.337360, 2.660817, 0.606516, 2.626022, 2.120935]
pca: [[-0.282866, 0.588329, 0.511577, -0.047286, 0.178985, -0.509792, 0.134114, 0.000000, 0.000000, 0.000000], [-0.001033, -0.007365, -0.304560, -0.370481, 0.278205, 0.037196, 0.831354, 0.000000, 0.000000, 0.000000], [-0.272536, 0.588768, -0.216689, -0.345305, -0.428495, 0.466976, -0.105887, 0.000000, 0.000000, 0.000000], [0.563016, 0.461607, -0.283014, -0.002342, 0.551768, 0.054747, -0.287028, 0.000000, 0.000000, 0.000000], [-0.118339, -0.175806, 0.564226, -0.290389, 0.445894, 0.586190, -0.099854, 0.000000, 0.000000, 0.000000], [0.557968, 0.202791, 0.405549, 0.341560, -0.346387, 0.285029, 0.406434, 0.000000, 0.000000, 0.000000], [-0.450988, 0.148509, -0.188841, 0.735035, 0.289318, 0.304639, 0.148686, 0.000000, 0.000000, 0.000000]]
fourier: [[19.855293, 20.909743, 25.159283, 30.398788, 104.050144], [2.010527, 2.020363, 2.200184, 2.333892, 28.345495], [19.965605, 20.937106, 25.707245, 30.837281, 72.793185], [41.331304, 43.342666, 49.341468, 50.919341, 303.388389], [10.248172, 10.304763, 10.708902, 10.968045, 44.382882], [40.898765, 43.206412, 49.511946, 53.155819, 304.066599], [32.601750, 34.529909, 40.536606, 43.028261, 215.046988]]
### 6
mean: [-1.283102, 1.419708, 1.932309, 3.740026, -0.646407, 2.844304, -0.992208]
std: [1.449088, 1.170941, 1.412590, 2.835219, 0.261850, 2.272059, 0.769677]
pca: [[-0.323279, 0.531000, 0.434292, 0.498865, -0.404318, -0.079381, 0.079240, 0.000000, 0.000000, 0.000000], [0.269379, 0.058010, 0.098558, 0.486248, 0.573174, 0.400535, 0.434696, 0.000000, 0.000000, 0.000000], [0.321592, -0.300837, -0.464024, 0.415140, -0.556585, -0.105066, 0.312394, 0.000000, 0.000000, 0.000000], [0.652578, -0.016190, 0.427420, -0.054153, -0.301942, 0.380093, -0.390665, 0.000000, 0.000000, 0.000000], [-0.011604, -0.369528, 0.557566, -0.339534, -0.145286, -0.139284, 0.629796, 0.000000, 0.000000, 0.000000], [0.514588, 0.613262, -0.111560, -0.268058, 0.080617, -0.458651, 0.240723, 0.000000, 0.000000, 0.000000], [-0.169438, 0.333567, -0.283451, -0.390235, -0.281842, 0.669328, 0.316165, 0.000000, 0.000000, 0.000000]]
fourier: [[21.556848, 24.174874, 25.023769, 32.253870, 115.479201], [17.800021, 18.740930, 21.782562, 23.856065, 127.773687], [21.671506, 22.133295, 25.027750, 30.309315, 173.907805], [42.315980, 44.542003, 52.956203, 59.039535, 336.602361], [3.661994, 3.859904, 3.866040, 4.724769, 58.176641], [35.802427, 39.377279, 41.619864, 42.776235, 255.987366], [10.672569, 12.821126, 13.462418, 17.639607, 89.298677]]
### 8
mean: [-4.185522]
std: [3.055992]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[46.499065, 46.746858, 56.495023, 64.355582, 376.696963]]
## 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: 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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[
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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.8.bias": [
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}
## Activation Signature
### 0
mean: [2.637274, 0.912868, 0.450396, 1.881752, 2.037446, 0.567885, 0.387166]
std: [2.398167, 1.458236, 1.992264, 1.579421, 1.598187, 1.457772, 0.983330]
pca: [[0.678999, 0.387984, 0.120179, 0.028119, -0.154289, -0.541370, 0.237294, 0.000000, 0.000000, 0.000000], [0.271657, -0.348983, 0.317115, -0.429013, 0.709967, -0.008743, 0.125181, 0.000000, 0.000000, 0.000000], [0.485641, -0.523096, -0.043664, -0.244824, -0.555226, 0.340285, -0.067891, 0.000000, 0.000000, 0.000000], [0.329444, 0.545370, 0.124690, 0.094726, 0.180578, 0.715066, -0.159969, 0.000000, 0.000000, 0.000000], [-0.112063, -0.075866, 0.866095, 0.195739, -0.197385, -0.102450, -0.379204, 0.000000, 0.000000, 0.000000], [-0.324017, 0.267769, 0.306436, -0.523405, -0.298139, 0.166474, 0.582114, 0.000000, 0.000000, 0.000000], [0.056900, -0.281363, 0.153357, 0.658771, 0.058403, 0.203763, 0.644337, 0.000000, 0.000000, 0.000000]]
fourier: [[37.958749, 42.117214, 42.461155, 43.062760, 237.354658], [24.532648, 25.357952, 26.930651, 30.485848, 82.158137], [33.670515, 33.739172, 33.825366, 40.535660, 42.978166], [24.272497, 24.942129, 29.194235, 30.931631, 169.357692], [24.805685, 25.527116, 27.403463, 29.559721, 183.370094], [24.103727, 25.205115, 26.181881, 30.552501, 51.109610], [16.326411, 17.500907, 18.643795, 20.989221, 34.844958]]
### 2
mean: [1.783263, 2.090482, -1.032169, -1.088554, -0.608777, 2.973775, 1.471552]
std: [1.396114, 2.031179, 2.452695, 0.683665, 0.716728, 2.825513, 1.305009]
pca: [[0.267757, 0.254288, 0.575199, 0.412277, -0.528449, -0.156435, -0.243079, 0.000000, 0.000000, 0.000000], [0.439180, 0.276856, -0.423008, -0.188344, -0.509707, 0.101075, 0.496029, 0.000000, 0.000000, 0.000000], [-0.518111, 0.650492, -0.091023, 0.359181, 0.055788, 0.387809, 0.132724, 0.000000, 0.000000, 0.000000], [-0.111487, -0.340207, 0.041829, -0.181099, -0.399130, 0.762783, -0.310066, 0.000000, 0.000000, 0.000000], [-0.031089, -0.431313, 0.359956, 0.349187, 0.052519, 0.187834, 0.723507, 0.000000, 0.000000, 0.000000], [0.631808, 0.250395, 0.205716, -0.027701, 0.542600, 0.442879, -0.066923, 0.000000, 0.000000, 0.000000], [0.233262, -0.266606, -0.555237, 0.714176, 0.036740, 0.040684, -0.230585, 0.000000, 0.000000, 0.000000]]
fourier: [[21.847060, 22.656955, 26.322086, 28.464413, 160.493694], [31.605046, 33.652596, 34.991614, 37.658077, 188.143431], [38.038931, 39.222294, 40.428772, 47.606207, 92.895210], [11.163205, 11.916113, 12.933708, 13.031713, 97.969863], [11.065931, 11.188697, 12.541552, 13.671050, 54.789940], [45.375214, 45.578106, 53.859803, 58.212065, 267.639806], [21.250711, 23.537922, 23.569056, 23.845254, 132.439726]]
### 4
mean: [-1.156113, -0.314950, -0.808813, 3.370982, -0.493143, 3.378518, -2.389411]
std: [1.393739, 0.122300, 1.337360, 2.660817, 0.606516, 2.626022, 2.120935]
pca: [[-0.282866, 0.588329, 0.511577, -0.047286, 0.178985, -0.509792, 0.134114, 0.000000, 0.000000, 0.000000], [-0.001033, -0.007365, -0.304560, -0.370481, 0.278205, 0.037196, 0.831354, 0.000000, 0.000000, 0.000000], [-0.272536, 0.588768, -0.216689, -0.345305, -0.428495, 0.466976, -0.105887, 0.000000, 0.000000, 0.000000], [0.563016, 0.461607, -0.283014, -0.002342, 0.551768, 0.054747, -0.287028, 0.000000, 0.000000, 0.000000], [-0.118339, -0.175806, 0.564226, -0.290389, 0.445894, 0.586190, -0.099854, 0.000000, 0.000000, 0.000000], [0.557968, 0.202791, 0.405549, 0.341560, -0.346387, 0.285029, 0.406434, 0.000000, 0.000000, 0.000000], [-0.450988, 0.148509, -0.188841, 0.735035, 0.289318, 0.304639, 0.148686, 0.000000, 0.000000, 0.000000]]
fourier: [[19.855293, 20.909743, 25.159283, 30.398788, 104.050144], [2.010527, 2.020363, 2.200184, 2.333892, 28.345495], [19.965605, 20.937106, 25.707245, 30.837281, 72.793185], [41.331304, 43.342666, 49.341468, 50.919341, 303.388389], [10.248172, 10.304763, 10.708902, 10.968045, 44.382882], [40.898765, 43.206412, 49.511946, 53.155819, 304.066599], [32.601750, 34.529909, 40.536606, 43.028261, 215.046988]]
### 6
mean: [-1.283102, 1.419708, 1.932309, 3.740026, -0.646407, 2.844304, -0.992208]
std: [1.449088, 1.170941, 1.412590, 2.835219, 0.261850, 2.272059, 0.769677]
pca: [[-0.323279, 0.531000, 0.434292, 0.498865, -0.404318, -0.079381, 0.079240, 0.000000, 0.000000, 0.000000], [0.269379, 0.058010, 0.098558, 0.486248, 0.573174, 0.400535, 0.434696, 0.000000, 0.000000, 0.000000], [0.321592, -0.300837, -0.464024, 0.415140, -0.556585, -0.105066, 0.312394, 0.000000, 0.000000, 0.000000], [0.652578, -0.016190, 0.427420, -0.054153, -0.301942, 0.380093, -0.390665, 0.000000, 0.000000, 0.000000], [-0.011604, -0.369528, 0.557566, -0.339534, -0.145286, -0.139284, 0.629796, 0.000000, 0.000000, 0.000000], [0.514588, 0.613262, -0.111560, -0.268058, 0.080617, -0.458651, 0.240723, 0.000000, 0.000000, 0.000000], [-0.169438, 0.333567, -0.283451, -0.390235, -0.281842, 0.669328, 0.316165, 0.000000, 0.000000, 0.000000]]
fourier: [[21.556848, 24.174874, 25.023769, 32.253870, 115.479201], [17.800021, 18.740930, 21.782562, 23.856065, 127.773687], [21.671506, 22.133295, 25.027750, 30.309315, 173.907805], [42.315980, 44.542003, 52.956203, 59.039535, 336.602361], [3.661994, 3.859904, 3.866040, 4.724769, 58.176641], [35.802427, 39.377279, 41.619864, 42.776235, 255.987366], [10.672569, 12.821126, 13.462418, 17.639607, 89.298677]]
### 8
mean: [-4.185522]
std: [3.055992]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[46.499065, 46.746858, 56.495023, 64.355582, 376.696963]]
## 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": [10.672568919314456, 12.821126006728756, 13.462418320336369, 17.639607008000276, 89.29867738485336]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -4.185521602630615, "std": 3.0559918880462646, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [46.49906455732615, 46.74685755645891, 56.4950228105746, 64.35558228424821, 376.6969632357359]}}, "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": 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": 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": [[0.664829, 0.636845, 0.391135, -0.069288, -0.376823], [0.268366, -0.166535, 0.475003, -0.307268, 0.178728], [0.830058, 0.031744, -0.081196, -0.415264, 0.25264], [0.145373, 0.501666, 0.375698, 0.112081, -0.411423], [-0.055921, -0.389907, 0.394246, 0.52352, 0.393255], [-0.691168, 0.242174, 0.063148, 0.130404, 0.39153], [0.418085, -0.522543, 0.023362, 0.259575, -0.093754]], "network.0.bias": [0.445753, 0.328624, 0.108121, 0.268975, 0.386323, 0.092269, 0.329259], "network.2.weight": [[0.109899, -0.316811, 0.507509, 0.295973, 0.343579, -0.229461, 0.527256], [0.530748, 0.379269, 0.355448, 0.101189, -0.126116, 0.35484, -0.122234], [-0.551988, 0.112745, -0.33049, -0.199904, 0.545215, 0.363437, -0.710978], [-0.284486, -0.236064, 0.13586, 0.085334, -0.179588, -0.071101, -0.073008], [-0.244368, -0.471476, 0.094421, 0.317452, -0.035725, -0.436612, 0.353727], [0.351965, 0.292975, 0.610827, 0.605134, 0.0597, -0.328103, 0.509209], [0.15996, 0.000354, -0.005263, 0.569999, -0.243428, 0.081578, -0.093585]], "network.2.bias": [0.050757, -0.160035, -0.059235, 0.072324, 0.081779, -0.014434, 0.4619], "network.4.weight": [[-0.263751, 0.395126, 0.480613, -0.414657, 0.322263, -0.397404, -0.413893], [0.023569, -0.093296, -0.006951, -0.10284, -0.156729, -0.006877, 0.15057], [-0.417575, 0.177212, 0.488322, -0.186829, 0.52791, -0.284381, -0.084185], [0.287446, 0.271345, -0.16279, -0.334083, -0.740348, 0.37064, 0.597655], [0.034046, -0.103168, 0.081592, 0.067436, -0.045943, -0.023384, -0.282985], [0.277147, 0.286726, -0.215031, -0.419459, -0.117731, 0.476896, 0.281097], [-0.418628, -0.059047, 0.288701, 0.15617, -0.178164, -0.357052, -0.351414]], "network.4.bias": [0.061095, -0.374889, 0.3495, 0.368692, 0.109222, 0.537638, -0.091491], "network.6.weight": [[0.565937, -0.041365, 0.428029, -0.348841, 0.110047, -0.104694, 0.403553], [-0.260437, -0.319461, 0.088984, 0.169598, 0.318801, 0.267443, -0.066783], [-0.469458, -0.550851, -0.17192, 0.42892, 0.133619, 0.053183, -0.549679], [-0.351735, -0.458256, -0.079474, 0.274489, 0.003044, 0.760685, -0.498427], [-0.051418, 0.15024, -0.34443, -0.298288, -0.454408, 0.241926, -0.315036], [0.264249, -0.105431, 0.205712, 0.443607, 0.409888, 0.433446, -0.025798], [0.280589, -0.390391, 0.221923, 0.064583, 0.042498, -0.306689, 0.521764]], "network.6.bias": [0.158645, -0.042481, 0.308611, 0.26251, -0.44663, -0.093485, -0.250796], "network.8.weight": [[0.42898, -0.209726, -0.435206, -0.602841, 0.313028, -0.172139, 0.55434]], "network.8.bias": [-0.291539]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6822856664657593, "train_acc": 0.585, "val_loss": 0.6901472210884094, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6549517810344696, "train_acc": 0.58, "val_loss": 0.6193281412124634, "val_acc": 0.68}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5685254335403442, "train_acc": 0.8, "val_loss": 0.4208446443080902, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.40561090409755707, "train_acc": 0.84, "val_loss": 0.4596756100654602, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3603048324584961, "train_acc": 0.825, "val_loss": 0.2840380072593689, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.322930246591568, "train_acc": 0.875, "val_loss": 0.2784324288368225, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.27230457961559296, "train_acc": 0.87, "val_loss": 0.3014255166053772, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2510531023144722, "train_acc": 0.9, "val_loss": 0.2654063403606415, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2589833736419678, "train_acc": 0.885, "val_loss": 0.29831817746162415, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.23221227526664734, "train_acc": 0.9, "val_loss": 0.26633885502815247, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.20937827229499817, "train_acc": 0.915, "val_loss": 0.2622520923614502, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.20428715646266937, "train_acc": 0.91, "val_loss": 0.25428006052970886, "val_acc": 0.9}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6901472210884094, "final_val_loss": 0.6193281412124634, "initial_val_acc": 0.44, "final_val_acc": 0.68, "best_val_acc": 0.68}, "improved_stage": {"initial_val_loss": 0.4208446443080902, "final_val_loss": 0.25428006052970886, "initial_val_acc": 0.84, "final_val_acc": 0.9, "best_val_acc": 0.94, "best_epoch": 5}, "improvement": 0.2599999999999999, "first_improvement_epoch": 1}}
|
9,606
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.64, "improved_accuracy": 0.8, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2793, "learning_rate": 0.0708646944580572, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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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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[
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [-1.713106, 1.212513, -2.634147, 1.135097, -1.704603, 0.617771]
std: [1.810497, 2.343559, 1.707861, 1.429157, 1.200106, 1.667895]
pca: [[-0.101722, 0.665183, -0.575158, 0.149960, -0.194675, -0.394957, 0.000000, 0.000000, 0.000000, 0.000000], [0.740502, 0.051649, 0.260659, 0.411812, -0.447352, -0.106457, 0.000000, 0.000000, 0.000000, 0.000000], [-0.214668, 0.485477, 0.725675, -0.336798, -0.127246, -0.249001, 0.000000, 0.000000, 0.000000, 0.000000], [0.455855, 0.024919, -0.000921, -0.165153, 0.722147, -0.492750, 0.000000, 0.000000, 0.000000, 0.000000], [-0.085461, 0.423284, 0.202030, 0.599475, 0.473470, 0.434933, 0.000000, 0.000000, 0.000000, 0.000000], [0.424404, 0.373344, -0.183928, -0.554838, -0.010801, 0.581983, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.918152, 28.637259, 31.460901, 41.379448, 154.179568], [36.124168, 37.533486, 37.948642, 39.727548, 109.126166], [27.618403, 27.861280, 32.533717, 34.828898, 237.073235], [23.237327, 24.092823, 25.100199, 26.218565, 102.158691], [16.928379, 17.705303, 22.518730, 24.578165, 153.414271], [24.366498, 26.884081, 30.922757, 34.233005, 55.599389]]
### 2
mean: [-0.278294, -1.165460, 1.969171, -1.442592, -1.076912, -2.104903]
std: [0.271424, 0.889812, 2.045474, 0.921434, 0.923312, 1.879430]
pca: [[-0.079019, 0.116050, 0.580790, -0.630443, -0.213665, -0.447058, 0.000000, 0.000000, 0.000000, 0.000000], [-0.272998, -0.404386, 0.376141, -0.273721, 0.345512, 0.652809, 0.000000, 0.000000, 0.000000, 0.000000], [0.642728, 0.454039, 0.299175, 0.023170, 0.528294, 0.107763, 0.000000, 0.000000, 0.000000, 0.000000], [-0.290005, -0.044426, 0.591636, 0.711508, 0.071506, -0.229204, 0.000000, 0.000000, 0.000000, 0.000000], [-0.268913, 0.689901, 0.107112, 0.049445, -0.431002, 0.502038, 0.000000, 0.000000, 0.000000, 0.000000], [-0.591365, 0.372715, -0.264933, -0.135623, 0.604151, -0.240397, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.942261, 4.482169, 4.929909, 5.828268, 25.046490], [14.446707, 14.735098, 14.971412, 16.238714, 104.891427], [35.391416, 36.037523, 36.114204, 36.486715, 177.225436], [15.508300, 17.216359, 17.228458, 17.490996, 129.833267], [13.662745, 17.045185, 18.035881, 19.988630, 96.922116], [30.623678, 35.031592, 35.489677, 37.044469, 189.441312]]
### 4
mean: [1.083201, -0.473185, -0.452732, 1.031828, -1.486687, -1.004850]
std: [1.241965, 0.081257, 0.678096, 1.159470, 1.099675, 0.723934]
pca: [[0.550673, -0.366488, -0.368575, 0.412161, 0.050159, 0.504188, 0.000000, 0.000000, 0.000000, 0.000000], [-0.036029, -0.158684, 0.146182, -0.033772, 0.974439, -0.038466, 0.000000, 0.000000, 0.000000, 0.000000], [-0.300660, 0.649223, -0.408924, -0.062617, 0.174907, 0.535146, 0.000000, 0.000000, 0.000000, 0.000000], [0.514096, 0.478316, 0.672059, 0.061004, 0.007151, 0.226900, 0.000000, 0.000000, 0.000000, 0.000000], [-0.487584, -0.404908, 0.459606, -0.025462, -0.129799, 0.607929, 0.000000, 0.000000, 0.000000, 0.000000], [-0.320984, 0.162107, 0.112535, 0.905920, 0.021465, -0.192024, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.580135, 21.626563, 22.020462, 22.612320, 97.488064], [1.411906, 1.414944, 1.440715, 1.479438, 42.586663], [11.782460, 11.807809, 12.022872, 12.346018, 40.745879], [20.146715, 20.190059, 20.557793, 21.110338, 92.864498], [19.107735, 19.148844, 19.497613, 20.021663, 133.801791], [12.578928, 12.605990, 12.835591, 13.180581, 90.436516]]
### 6
mean: [-0.903169, -0.711936, 0.364091, 0.602979, 1.240507, 0.618572]
std: [0.600746, 0.580921, 0.530943, 1.131537, 0.918992, 0.330363]
pca: [[-0.335240, 0.120334, -0.445038, -0.209298, 0.554781, 0.568759, 0.000000, 0.000000, 0.000000, 0.000000], [-0.324167, 0.139525, 0.527020, 0.514158, -0.173842, 0.550562, 0.000000, 0.000000, 0.000000, 0.000000], [0.294931, 0.855263, 0.295181, -0.253580, 0.169906, -0.035187, 0.000000, 0.000000, 0.000000, 0.000000], [0.631480, 0.095551, -0.402373, 0.624625, 0.091052, 0.178190, 0.000000, 0.000000, 0.000000, 0.000000], [0.512763, -0.315357, 0.192945, -0.474638, -0.228568, 0.568218, 0.000000, 0.000000, 0.000000, 0.000000], [0.183988, -0.354961, 0.487778, 0.109980, 0.756700, -0.132411, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.208792, 10.573534, 10.703664, 11.305523, 81.285181], [9.884048, 10.230920, 10.354267, 10.951907, 64.074240], [9.157693, 9.197701, 9.292338, 9.475847, 32.768156], [19.326718, 19.867489, 20.084734, 21.080134, 54.268118], [15.669160, 16.198765, 16.400899, 17.388069, 111.645605], [5.711545, 5.854132, 5.943583, 6.404382, 55.671508]]
### 8
mean: [-0.525171, -0.521685, 1.187811, -0.879601, -0.652431, 0.289646]
std: [0.152058, 0.358397, 1.091694, 0.363493, 0.399896, 0.086210]
pca: [[-0.117718, -0.260792, -0.007824, 0.872809, -0.395017, 0.015305, 0.000000, 0.000000, 0.000000, 0.000000], [-0.279997, 0.159665, 0.068766, 0.215666, 0.483483, 0.781736, 0.000000, 0.000000, 0.000000, 0.000000], [0.853417, -0.094922, 0.352122, 0.222276, 0.294460, 0.050647, 0.000000, 0.000000, 0.000000, 0.000000], [-0.283308, -0.348371, -0.040471, 0.185655, 0.705511, -0.514319, 0.000000, 0.000000, 0.000000, 0.000000], [-0.312517, 0.119676, 0.924815, -0.043068, -0.104821, -0.141020, 0.000000, 0.000000, 0.000000, 0.000000], [0.038632, 0.872812, -0.119583, 0.325519, 0.121518, -0.318870, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.642443, 2.667638, 2.669078, 2.764560, 47.265391], [6.282329, 6.434761, 6.531512, 7.148347, 46.951690], [19.199772, 19.346788, 19.810727, 21.523658, 106.902945], [6.190614, 6.410457, 6.488336, 6.881659, 79.164075], [7.010350, 7.177870, 7.280534, 7.948668, 58.718760], [1.226963, 1.296370, 1.325663, 1.694735, 26.068177]]
### 10
mean: [-0.533625, -0.064161, -0.924090, 0.095918, -0.146849, -0.933289]
std: [0.178546, 0.420925, 0.710467, 0.368633, 0.332626, 0.563434]
pca: [[0.154887, 0.744199, -0.316391, -0.061932, 0.504016, -0.253391, 0.000000, 0.000000, 0.000000, 0.000000], [-0.372700, 0.043278, 0.512040, 0.196238, 0.611892, 0.429086, 0.000000, 0.000000, 0.000000, 0.000000], [0.629017, 0.203797, -0.045454, 0.133528, -0.142946, 0.722824, 0.000000, 0.000000, 0.000000, 0.000000], [0.325920, -0.417096, -0.211935, 0.704096, 0.348243, -0.240552, 0.000000, 0.000000, 0.000000, 0.000000], [-0.293843, 0.469164, 0.135759, 0.662451, -0.478577, -0.085052, 0.000000, 0.000000, 0.000000, 0.000000], [0.498873, 0.093153, 0.756504, -0.072330, -0.028511, -0.405099, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.023436, 3.048527, 3.119694, 3.210288, 48.026232], [6.949236, 7.312638, 7.421111, 7.578930, 8.134917], [12.231176, 12.533003, 12.743085, 13.606664, 83.168093], [6.480797, 6.546438, 6.694586, 7.283139, 8.632610], [5.841317, 5.939406, 6.052368, 6.608101, 13.216435], [9.727950, 9.937792, 10.118414, 10.821870, 83.996037]]
### 12
mean: [-0.437953]
std: [0.184711]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.027175, 3.268130, 3.398426, 3.477738, 39.415750]]
## 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: 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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],
[
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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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],
"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.bias": [
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]
}
## Activation Signature
### 0
mean: [-1.713106, 1.212513, -2.634147, 1.135097, -1.704603, 0.617771]
std: [1.810497, 2.343559, 1.707861, 1.429157, 1.200106, 1.667895]
pca: [[-0.101722, 0.665183, -0.575158, 0.149960, -0.194675, -0.394957, 0.000000, 0.000000, 0.000000, 0.000000], [0.740502, 0.051649, 0.260659, 0.411812, -0.447352, -0.106457, 0.000000, 0.000000, 0.000000, 0.000000], [-0.214668, 0.485477, 0.725675, -0.336798, -0.127246, -0.249001, 0.000000, 0.000000, 0.000000, 0.000000], [0.455855, 0.024919, -0.000921, -0.165153, 0.722147, -0.492750, 0.000000, 0.000000, 0.000000, 0.000000], [-0.085461, 0.423284, 0.202030, 0.599475, 0.473470, 0.434933, 0.000000, 0.000000, 0.000000, 0.000000], [0.424404, 0.373344, -0.183928, -0.554838, -0.010801, 0.581983, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.918152, 28.637259, 31.460901, 41.379448, 154.179568], [36.124168, 37.533486, 37.948642, 39.727548, 109.126166], [27.618403, 27.861280, 32.533717, 34.828898, 237.073235], [23.237327, 24.092823, 25.100199, 26.218565, 102.158691], [16.928379, 17.705303, 22.518730, 24.578165, 153.414271], [24.366498, 26.884081, 30.922757, 34.233005, 55.599389]]
### 2
mean: [-0.278294, -1.165460, 1.969171, -1.442592, -1.076912, -2.104903]
std: [0.271424, 0.889812, 2.045474, 0.921434, 0.923312, 1.879430]
pca: [[-0.079019, 0.116050, 0.580790, -0.630443, -0.213665, -0.447058, 0.000000, 0.000000, 0.000000, 0.000000], [-0.272998, -0.404386, 0.376141, -0.273721, 0.345512, 0.652809, 0.000000, 0.000000, 0.000000, 0.000000], [0.642728, 0.454039, 0.299175, 0.023170, 0.528294, 0.107763, 0.000000, 0.000000, 0.000000, 0.000000], [-0.290005, -0.044426, 0.591636, 0.711508, 0.071506, -0.229204, 0.000000, 0.000000, 0.000000, 0.000000], [-0.268913, 0.689901, 0.107112, 0.049445, -0.431002, 0.502038, 0.000000, 0.000000, 0.000000, 0.000000], [-0.591365, 0.372715, -0.264933, -0.135623, 0.604151, -0.240397, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.942261, 4.482169, 4.929909, 5.828268, 25.046490], [14.446707, 14.735098, 14.971412, 16.238714, 104.891427], [35.391416, 36.037523, 36.114204, 36.486715, 177.225436], [15.508300, 17.216359, 17.228458, 17.490996, 129.833267], [13.662745, 17.045185, 18.035881, 19.988630, 96.922116], [30.623678, 35.031592, 35.489677, 37.044469, 189.441312]]
### 4
mean: [1.083201, -0.473185, -0.452732, 1.031828, -1.486687, -1.004850]
std: [1.241965, 0.081257, 0.678096, 1.159470, 1.099675, 0.723934]
pca: [[0.550673, -0.366488, -0.368575, 0.412161, 0.050159, 0.504188, 0.000000, 0.000000, 0.000000, 0.000000], [-0.036029, -0.158684, 0.146182, -0.033772, 0.974439, -0.038466, 0.000000, 0.000000, 0.000000, 0.000000], [-0.300660, 0.649223, -0.408924, -0.062617, 0.174907, 0.535146, 0.000000, 0.000000, 0.000000, 0.000000], [0.514096, 0.478316, 0.672059, 0.061004, 0.007151, 0.226900, 0.000000, 0.000000, 0.000000, 0.000000], [-0.487584, -0.404908, 0.459606, -0.025462, -0.129799, 0.607929, 0.000000, 0.000000, 0.000000, 0.000000], [-0.320984, 0.162107, 0.112535, 0.905920, 0.021465, -0.192024, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.580135, 21.626563, 22.020462, 22.612320, 97.488064], [1.411906, 1.414944, 1.440715, 1.479438, 42.586663], [11.782460, 11.807809, 12.022872, 12.346018, 40.745879], [20.146715, 20.190059, 20.557793, 21.110338, 92.864498], [19.107735, 19.148844, 19.497613, 20.021663, 133.801791], [12.578928, 12.605990, 12.835591, 13.180581, 90.436516]]
### 6
mean: [-0.903169, -0.711936, 0.364091, 0.602979, 1.240507, 0.618572]
std: [0.600746, 0.580921, 0.530943, 1.131537, 0.918992, 0.330363]
pca: [[-0.335240, 0.120334, -0.445038, -0.209298, 0.554781, 0.568759, 0.000000, 0.000000, 0.000000, 0.000000], [-0.324167, 0.139525, 0.527020, 0.514158, -0.173842, 0.550562, 0.000000, 0.000000, 0.000000, 0.000000], [0.294931, 0.855263, 0.295181, -0.253580, 0.169906, -0.035187, 0.000000, 0.000000, 0.000000, 0.000000], [0.631480, 0.095551, -0.402373, 0.624625, 0.091052, 0.178190, 0.000000, 0.000000, 0.000000, 0.000000], [0.512763, -0.315357, 0.192945, -0.474638, -0.228568, 0.568218, 0.000000, 0.000000, 0.000000, 0.000000], [0.183988, -0.354961, 0.487778, 0.109980, 0.756700, -0.132411, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.208792, 10.573534, 10.703664, 11.305523, 81.285181], [9.884048, 10.230920, 10.354267, 10.951907, 64.074240], [9.157693, 9.197701, 9.292338, 9.475847, 32.768156], [19.326718, 19.867489, 20.084734, 21.080134, 54.268118], [15.669160, 16.198765, 16.400899, 17.388069, 111.645605], [5.711545, 5.854132, 5.943583, 6.404382, 55.671508]]
### 8
mean: [-0.525171, -0.521685, 1.187811, -0.879601, -0.652431, 0.289646]
std: [0.152058, 0.358397, 1.091694, 0.363493, 0.399896, 0.086210]
pca: [[-0.117718, -0.260792, -0.007824, 0.872809, -0.395017, 0.015305, 0.000000, 0.000000, 0.000000, 0.000000], [-0.279997, 0.159665, 0.068766, 0.215666, 0.483483, 0.781736, 0.000000, 0.000000, 0.000000, 0.000000], [0.853417, -0.094922, 0.352122, 0.222276, 0.294460, 0.050647, 0.000000, 0.000000, 0.000000, 0.000000], [-0.283308, -0.348371, -0.040471, 0.185655, 0.705511, -0.514319, 0.000000, 0.000000, 0.000000, 0.000000], [-0.312517, 0.119676, 0.924815, -0.043068, -0.104821, -0.141020, 0.000000, 0.000000, 0.000000, 0.000000], [0.038632, 0.872812, -0.119583, 0.325519, 0.121518, -0.318870, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.642443, 2.667638, 2.669078, 2.764560, 47.265391], [6.282329, 6.434761, 6.531512, 7.148347, 46.951690], [19.199772, 19.346788, 19.810727, 21.523658, 106.902945], [6.190614, 6.410457, 6.488336, 6.881659, 79.164075], [7.010350, 7.177870, 7.280534, 7.948668, 58.718760], [1.226963, 1.296370, 1.325663, 1.694735, 26.068177]]
### 10
mean: [-0.533625, -0.064161, -0.924090, 0.095918, -0.146849, -0.933289]
std: [0.178546, 0.420925, 0.710467, 0.368633, 0.332626, 0.563434]
pca: [[0.154887, 0.744199, -0.316391, -0.061932, 0.504016, -0.253391, 0.000000, 0.000000, 0.000000, 0.000000], [-0.372700, 0.043278, 0.512040, 0.196238, 0.611892, 0.429086, 0.000000, 0.000000, 0.000000, 0.000000], [0.629017, 0.203797, -0.045454, 0.133528, -0.142946, 0.722824, 0.000000, 0.000000, 0.000000, 0.000000], [0.325920, -0.417096, -0.211935, 0.704096, 0.348243, -0.240552, 0.000000, 0.000000, 0.000000, 0.000000], [-0.293843, 0.469164, 0.135759, 0.662451, -0.478577, -0.085052, 0.000000, 0.000000, 0.000000, 0.000000], [0.498873, 0.093153, 0.756504, -0.072330, -0.028511, -0.405099, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.023436, 3.048527, 3.119694, 3.210288, 48.026232], [6.949236, 7.312638, 7.421111, 7.578930, 8.134917], [12.231176, 12.533003, 12.743085, 13.606664, 83.168093], [6.480797, 6.546438, 6.694586, 7.283139, 8.632610], [5.841317, 5.939406, 6.052368, 6.608101, 13.216435], [9.727950, 9.937792, 10.118414, 10.821870, 83.996037]]
### 12
mean: [-0.437953]
std: [0.184711]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.027175, 3.268130, 3.398426, 3.477738, 39.415750]]
## 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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"std": 0.3326255679130554, "pca": [-0.2938428819179535, 0.46916356682777405, 0.13575881719589233, 0.6624512672424316, -0.47857698798179626, -0.08505188673734665, 0.0, 0.0, 0.0, 0.0], "fourier": [5.841316683660036, 5.939405715596544, 6.05236758038741, 6.608100549715714, 13.216435343027115]}, "5": {"mean": -0.9332892298698425, "std": 0.5634341239929199, "pca": [0.4988729953765869, 0.0931532233953476, 0.7565042972564697, -0.07233017683029175, -0.028511324897408485, -0.4050985872745514, 0.0, 0.0, 0.0, 0.0], "fourier": [9.727949701967335, 9.937792349304654, 10.118413756355153, 10.82186977191938, 83.99603715538979]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "12": {"neuron_profiles": {"0": {"mean": -0.43795275688171387, "std": 0.18471083045005798, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [3.027175118500797, 3.268130382037998, 3.39842579207158, 3.47773762229235, 39.41574965417385]}}, "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": [[-0.145584, -0.418499, 0.114091, 0.314779, -0.890375], [-0.885511, -0.099695, 0.436824, 0.333445, 0.746423], [-0.088745, -0.440649, -0.077811, -0.508798, -0.219371], [-0.388677, -0.191678, 0.472486, 0.290876, 0.342776], [-0.083569, -0.438336, -0.234857, 0.042101, -0.232952], [-0.565374, -0.325486, 0.699597, 0.271742, -0.097253]], "network.0.bias": [-0.584559, -0.051974, -0.196565, -0.065433, -0.114245, -0.009715], "network.2.weight": [[-0.369861, -0.016827, -0.183021, -0.119885, -0.149118, -0.054709], [-0.037028, -0.325994, -0.054389, -0.280383, 0.340759, -0.015171], [-0.306035, 0.748208, 0.394462, 0.38435, 0.184464, 0.410164], [0.055461, -0.12405, -0.136469, -0.479284, -0.180754, -0.15373], [-0.178771, -0.042818, 0.062611, -0.183357, -0.306465, -0.539762], [0.023879, -0.48966, -0.268223, -0.292192, -0.142421, -0.736216]], "network.2.bias": [-0.01305, -0.247597, -0.133478, -0.476597, -0.235062, -0.211137], "network.4.weight": [[-0.055442, -0.263058, 0.619263, 0.08883, -0.227998, 0.148218], [0.405626, 0.072845, -0.040516, 0.239597, -0.275277, -0.272973], [0.330152, 0.255559, -0.338109, -0.078294, -0.122472, -0.152233], [0.040169, 0.010795, 0.578129, -0.526936, 0.14071, 0.286163], [0.042485, 0.053126, -0.548315, -0.195829, 0.084257, -0.271313], [0.244357, -0.140649, -0.360964, -0.073651, 0.175357, 0.074003]], "network.4.bias": [-0.1606, -0.391808, 0.226366, -0.129356, -0.385386, -0.279846], "network.6.weight": [[-0.445228, 0.327389, -0.016713, -0.063216, -0.167544, -0.03824], [-0.145025, -0.350446, -0.063078, -0.368171, -0.007723, -0.216832], [0.055276, 0.244354, -0.716533, 0.366715, -0.063126, 0.144971], [0.437229, 0.137826, -0.184847, 0.532605, -0.322388, -0.214135], [0.273148, -0.097805, 0.170785, 0.540359, -0.027362, 0.325833], [0.171897, 0.260077, 0.246317, 0.127139, 0.323525, -0.278877]], "network.6.bias": [-0.329491, -0.148144, -0.037641, -0.449591, 0.338797, 0.268878], "network.8.weight": [[-0.260138, -0.229083, -0.30747, 0.054737, -0.15883, 0.255801], [-0.32823, 0.061346, -0.029751, -0.331874, -0.064637, 0.11459], [0.198942, 0.175331, 0.270475, 0.696663, 0.222057, 0.256559], [0.237261, 0.158088, -0.176607, 0.009958, -0.282808, -0.093939], [0.355273, -0.042883, 0.341107, -0.368157, -0.331848, 0.315323], [-0.398818, 0.136121, 0.107376, -0.548073, 0.478403, 0.286801]], "network.8.bias": [-0.396944, -0.240293, 0.093039, -0.402516, -0.29483, -0.099166], "network.10.weight": [[-0.241922, -0.085314, -0.130408, 0.366085, -0.077722, -0.625099], [0.16127, 0.279424, 0.373369, -0.162263, -0.377285, 0.263796], [0.085122, -0.393443, -0.621153, -0.153569, -0.054966, -0.632446], [-0.035125, -0.200865, -0.338824, 0.274321, 0.123067, 0.025818], [0.006335, -0.385376, 0.308501, 0.230807, 0.046947, -0.086258], [0.153418, -0.206599, -0.494866, -0.196485, -0.333584, -0.455142]], "network.10.bias": [-0.197667, -0.584059, -0.003092, 0.490898, -0.488306, -0.213652], "network.12.weight": [[0.134002, 0.246069, -0.173502, -0.596666, 0.159333, -0.130764]], "network.12.bias": [-0.362524]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7311310470104218, "train_acc": 0.44, "val_loss": 0.7053123712539673, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7061892151832581, "train_acc": 0.44, "val_loss": 0.685728132724762, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6909957826137543, "train_acc": 0.495, "val_loss": 0.6763477921485901, "val_acc": 0.62}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6697870492935181, "train_acc": 0.66, "val_loss": 0.6430717706680298, "val_acc": 0.64}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.694238930940628, "train_acc": 0.69, "val_loss": 0.6123732924461365, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6399206221103668, "train_acc": 0.645, "val_loss": 0.6552164554595947, "val_acc": 0.56}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.6646834015846252, "train_acc": 0.485, "val_loss": 0.6454415917396545, "val_acc": 0.56}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.6475129127502441, "train_acc": 0.55, "val_loss": 0.613314688205719, "val_acc": 0.8}], "summary": {"total_epochs": 8, "degraded_epochs": 4, "improved_epochs": 4, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7053123712539673, "final_val_loss": 0.6430717706680298, "initial_val_acc": 0.46, "final_val_acc": 0.64, "best_val_acc": 0.64}, "improved_stage": {"initial_val_loss": 0.6123732924461365, "final_val_loss": 0.613314688205719, "initial_val_acc": 0.72, "final_val_acc": 0.8, "best_val_acc": 0.8, "best_epoch": 7}, "improvement": 0.16000000000000003, "first_improvement_epoch": 3}}
|
9,607
|
{"target_pattern": "alternating", "degraded_accuracy": 0.56, "improved_accuracy": 0.98, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4712, "learning_rate": 0.06441843072939178, "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: 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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],
[
0.267668,
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1.034594,
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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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],
[
0.267905,
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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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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [-2.073487, -1.156635, -3.293002, 3.746145, -3.186419]
std: [3.092633, 1.497144, 2.226824, 3.071715, 1.567985]
pca: [[-0.251430, 0.856895, 0.094315, -0.402365, -0.178105, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.252725, 0.024356, 0.885711, 0.319353, 0.221510, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.535412, 0.167651, -0.355735, 0.710695, -0.231503, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.660240, 0.486221, -0.073935, 0.455867, 0.338219, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.387725, 0.024903, -0.273145, -0.152363, 0.866733, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.955012, 48.050707, 51.385210, 54.908570, 186.613797], [22.583451, 24.202151, 24.248070, 25.488878, 104.097140], [36.164212, 37.565851, 38.446240, 39.951624, 296.370184], [52.568592, 53.777292, 58.141783, 64.410595, 337.152997], [25.077487, 25.662402, 25.931663, 31.448987, 286.777704]]
### 2
mean: [0.969807, -1.006748, -1.314825, 1.332877, 2.093479]
std: [1.522961, 0.412736, 0.905718, 1.056858, 1.711929]
pca: [[0.459910, 0.840329, -0.051015, 0.280317, -0.033914, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.120093, -0.216108, -0.609161, 0.700392, -0.277937, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.374006, 0.083118, 0.300043, 0.505281, 0.712655, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.401531, -0.331728, 0.668360, 0.417608, -0.328067, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.687715, -0.360822, -0.299314, -0.034190, 0.553260, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.957027, 26.789585, 27.929002, 29.947773, 87.282662], [6.425175, 6.742269, 8.390821, 9.337817, 90.607289], [14.714781, 15.144535, 16.848766, 18.356985, 118.334260], [16.432140, 16.927236, 17.466577, 18.965599, 119.958905], [26.920990, 27.099633, 30.526312, 33.511949, 188.413076]]
### 4
mean: [-0.704943, -1.037198, -1.631292, -1.404261, -1.176103]
std: [0.613162, 1.543339, 1.936024, 1.838111, 1.629283]
pca: [[0.125065, 0.327099, 0.125182, 0.925727, -0.068732, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.463179, -0.241651, -0.279787, 0.119784, 0.796519, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.488254, 0.790289, -0.165686, -0.326752, -0.053222, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.535386, -0.421291, -0.413477, 0.088071, -0.597625, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.494766, -0.180468, 0.841210, -0.118987, -0.029081, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.494807, 11.685270, 11.876011, 11.880264, 63.444863], [23.147892, 24.271902, 24.764053, 25.498549, 93.347813], [34.760240, 35.583104, 35.651216, 39.735725, 146.816250], [25.441180, 28.069319, 29.387645, 31.177154, 126.383487], [24.952883, 25.011076, 25.899786, 27.792038, 105.849253]]
### 6
mean: [0.645459, -0.484291, 0.405805, -0.350581, 0.396864]
std: [1.064600, 0.060365, 0.807126, 0.203517, 0.620633]
pca: [[0.718800, -0.125687, -0.146672, 0.133154, 0.654437, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.038665, -0.076598, 0.434354, 0.894835, -0.056963, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.540574, 0.709732, 0.192608, -0.035296, -0.407083, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.135829, 0.109648, 0.810393, -0.362752, 0.425678, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.413718, -0.680142, 0.309821, -0.220694, -0.470690, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.245907, 15.325206, 15.532249, 20.272168, 58.091326], [0.893722, 0.900940, 0.948694, 1.263636, 43.586190], [10.440842, 11.458905, 11.696925, 16.956809, 36.522456], [2.930500, 2.952471, 3.075951, 3.504140, 31.552254], [8.850579, 8.890496, 9.938743, 10.517006, 35.717778]]
### 8
mean: [0.273937]
std: [1.582011]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.494927, 22.675340, 22.704356, 24.654341, 30.805383]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.698977,
-0.999887,
0.138475,
-0.860239,
0.175613
],
[
0.307351,
0.190375,
-0.331612,
-0.377027,
-0.476942
],
[
0.000622,
-0.508956,
-0.672239,
-0.471862,
-0.112473
],
[
0.267668,
-0.01209,
1.034594,
-0.070692,
0.897474
],
[
-0.151209,
-0.325298,
-0.387813,
-0.256799,
-0.24581
]
],
"network.0.bias": [
0.21758,
0.203421,
0.188484,
0.318635,
-0.741528
],
"network.2.weight": [
[
0.920202,
-0.350602,
-0.581118,
0.26868,
0.100963
],
[
-0.220208,
-0.233943,
-0.512433,
-0.080939,
-0.195995
],
[
0.267905,
-0.068509,
-0.262403,
-0.325463,
-0.047429
],
[
-0.617686,
0.727705,
-0.433644,
0.38251,
-0.073177
],
[
-0.765579,
0.380746,
-0.211766,
0.621859,
-0.528574
]
],
"network.2.bias": [
-0.311837,
-0.574319,
-0.177242,
0.021697,
-0.010685
],
"network.4.weight": [
[
-0.351903,
-0.066308,
0.002928,
-0.272014,
0.051399
],
[
0.341062,
-0.15196,
0.407894,
-0.327591,
-0.802516
],
[
-0.801629,
-0.300251,
-0.199054,
-0.638995,
-0.259982
],
[
0.555813,
-0.303824,
-0.0368,
-0.303817,
-1.030158
],
[
0.218303,
-0.021066,
0.303343,
-0.915999,
-0.456682
]
],
"network.4.bias": [
-0.089709,
0.73185,
0.585857,
0.590191,
0.77902
],
"network.6.weight": [
[
-0.020713,
1.0597,
0.929604,
1.061123,
1.027975
],
[
-0.220016,
-0.072715,
-0.231042,
-0.039236,
0.051495
],
[
0.053491,
1.043596,
0.76011,
0.302881,
1.014559
],
[
0.268242,
0.152591,
-0.402317,
-0.42077,
-0.205109
],
[
-0.031564,
0.719796,
0.299489,
0.836803,
0.358407
]
],
"network.6.bias": [
-0.04318,
-0.445627,
-0.114065,
-0.220189,
0.002246
],
"network.8.weight": [
[
0.71657,
-0.406483,
0.756366,
0.288043,
0.426853
]
],
"network.8.bias": [
-0.739359
]
}
## Activation Signature
### 0
mean: [-2.073487, -1.156635, -3.293002, 3.746145, -3.186419]
std: [3.092633, 1.497144, 2.226824, 3.071715, 1.567985]
pca: [[-0.251430, 0.856895, 0.094315, -0.402365, -0.178105, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.252725, 0.024356, 0.885711, 0.319353, 0.221510, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.535412, 0.167651, -0.355735, 0.710695, -0.231503, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.660240, 0.486221, -0.073935, 0.455867, 0.338219, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.387725, 0.024903, -0.273145, -0.152363, 0.866733, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.955012, 48.050707, 51.385210, 54.908570, 186.613797], [22.583451, 24.202151, 24.248070, 25.488878, 104.097140], [36.164212, 37.565851, 38.446240, 39.951624, 296.370184], [52.568592, 53.777292, 58.141783, 64.410595, 337.152997], [25.077487, 25.662402, 25.931663, 31.448987, 286.777704]]
### 2
mean: [0.969807, -1.006748, -1.314825, 1.332877, 2.093479]
std: [1.522961, 0.412736, 0.905718, 1.056858, 1.711929]
pca: [[0.459910, 0.840329, -0.051015, 0.280317, -0.033914, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.120093, -0.216108, -0.609161, 0.700392, -0.277937, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.374006, 0.083118, 0.300043, 0.505281, 0.712655, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.401531, -0.331728, 0.668360, 0.417608, -0.328067, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.687715, -0.360822, -0.299314, -0.034190, 0.553260, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.957027, 26.789585, 27.929002, 29.947773, 87.282662], [6.425175, 6.742269, 8.390821, 9.337817, 90.607289], [14.714781, 15.144535, 16.848766, 18.356985, 118.334260], [16.432140, 16.927236, 17.466577, 18.965599, 119.958905], [26.920990, 27.099633, 30.526312, 33.511949, 188.413076]]
### 4
mean: [-0.704943, -1.037198, -1.631292, -1.404261, -1.176103]
std: [0.613162, 1.543339, 1.936024, 1.838111, 1.629283]
pca: [[0.125065, 0.327099, 0.125182, 0.925727, -0.068732, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.463179, -0.241651, -0.279787, 0.119784, 0.796519, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.488254, 0.790289, -0.165686, -0.326752, -0.053222, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.535386, -0.421291, -0.413477, 0.088071, -0.597625, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.494766, -0.180468, 0.841210, -0.118987, -0.029081, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.494807, 11.685270, 11.876011, 11.880264, 63.444863], [23.147892, 24.271902, 24.764053, 25.498549, 93.347813], [34.760240, 35.583104, 35.651216, 39.735725, 146.816250], [25.441180, 28.069319, 29.387645, 31.177154, 126.383487], [24.952883, 25.011076, 25.899786, 27.792038, 105.849253]]
### 6
mean: [0.645459, -0.484291, 0.405805, -0.350581, 0.396864]
std: [1.064600, 0.060365, 0.807126, 0.203517, 0.620633]
pca: [[0.718800, -0.125687, -0.146672, 0.133154, 0.654437, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.038665, -0.076598, 0.434354, 0.894835, -0.056963, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.540574, 0.709732, 0.192608, -0.035296, -0.407083, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.135829, 0.109648, 0.810393, -0.362752, 0.425678, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.413718, -0.680142, 0.309821, -0.220694, -0.470690, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.245907, 15.325206, 15.532249, 20.272168, 58.091326], [0.893722, 0.900940, 0.948694, 1.263636, 43.586190], [10.440842, 11.458905, 11.696925, 16.956809, 36.522456], [2.930500, 2.952471, 3.075951, 3.504140, 31.552254], [8.850579, 8.890496, 9.938743, 10.517006, 35.717778]]
### 8
mean: [0.273937]
std: [1.582011]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.494927, 22.675340, 22.704356, 24.654341, 30.805383]]
## 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": -2.073486804962158, "std": 3.092633008956909, "pca": [-0.25143012404441833, 0.856894850730896, 0.09431475400924683, -0.40236470103263855, -0.17810513079166412, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [45.95501167091829, 48.050706677950465, 51.385210136495154, 54.90856961565622, 186.6137968748808]}, "1": {"mean": -1.15663480758667, "std": 1.4971442222595215, "pca": [-0.25272542238235474, 0.024355782195925713, 0.8857105374336243, 0.31935349106788635, 0.2215103656053543, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [22.58345070811348, 24.202150551054558, 24.2480698062014, 25.48887808701714, 104.09713965654373]}, "2": {"mean": -3.2930023670196533, "std": 2.2268240451812744, "pca": [-0.535411536693573, 0.16765080392360687, -0.3557347357273102, 0.7106947302818298, -0.23150262236595154, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [36.16421207658836, 37.56585142223996, 38.44623982400912, 39.95162350580772, 296.37018379569054]}, "3": {"mean": 3.7461445331573486, "std": 3.0717151165008545, "pca": [0.6602395176887512, 0.4862211346626282, -0.07393454015254974, 0.45586660504341125, 0.3382190465927124, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [52.56859212321875, 53.77729219949876, 58.14178296497503, 64.41059481382034, 337.15299721062183]}, "4": {"mean": -3.1864187717437744, "std": 1.5679845809936523, "pca": [-0.38772544264793396, 0.02490347810089588, -0.27314475178718567, -0.15236340463161469, 0.8667330145835876, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [25.077487446835676, 25.66240187304944, 25.931663367933556, 31.448987245276566, 286.777704000473]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": 0.9698073267936707, "std": 1.522960901260376, "pca": [0.45991018414497375, 0.8403286933898926, -0.0510149709880352, 0.28031691908836365, -0.03391418233513832, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [22.957026724277593, 26.789585221212814, 27.929002033572974, 29.94777296394561, 87.28266237676144]}, "1": {"mean": -1.0067477226257324, "std": 0.412736177444458, "pca": [-0.12009309232234955, -0.21610818803310394, -0.6091614961624146, 0.7003915309906006, -0.277936726808548, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [6.425175242050457, 6.742268641247308, 8.390821421363933, 9.337816606523527, 90.6072888970375]}, "2": {"mean": -1.314825177192688, "std": 0.9057184457778931, "pca": [-0.37400639057159424, 0.08311799168586731, 0.30004268884658813, 0.5052805542945862, 0.7126545906066895, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [14.714780513117455, 15.144534899668724, 16.848765858067345, 18.35698487890212, 118.33426025509834]}, "3": {"mean": 1.3328766822814941, "std": 1.056857705116272, "pca": [0.4015308916568756, -0.3317280113697052, 0.6683599948883057, 0.4176083207130432, -0.3280666470527649, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [16.43214004701505, 16.927235907898137, 17.46657672468315, 18.965599215974105, 119.95890513062477]}, "4": {"mean": 2.0934786796569824, "std": 1.7119290828704834, "pca": [0.6877153515815735, -0.3608224391937256, -0.29931434988975525, -0.0341898538172245, 0.553260087966919, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [26.920990088647024, 27.099633426574577, 30.526312213927405, 33.51194943928821, 188.41307557094842]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "4": {"neuron_profiles": {"0": {"mean": -0.7049429416656494, "std": 0.6131619811058044, "pca": [0.12506477534770966, 0.3270989656448364, 0.12518176436424255, 0.9257270097732544, -0.06873206049203873, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [10.494807085358635, 11.685269887320752, 11.876011027894931, 11.880263838319548, 63.444862961769104]}, "1": {"mean": -1.0371978282928467, "std": 1.5433385372161865, "pca": [0.4631785750389099, -0.24165065586566925, -0.2797867953777313, 0.11978359520435333, 0.7965185642242432, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [23.147891632677933, 24.27190172785355, 24.764053192985703, 25.498548720075263, 93.34781292080879]}, "2": {"mean": -1.6312915086746216, "std": 1.9360235929489136, "pca": [0.48825427889823914, 0.7902888059616089, -0.16568586230278015, -0.3267521262168884, -0.05322197452187538, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [34.760239679278726, 35.583104309055216, 35.65121633210721, 39.73572531409358, 146.81624978780746]}, "3": {"mean": -1.4042609930038452, "std": 1.8381112813949585, "pca": [0.5353863835334778, -0.4212908148765564, -0.4134769141674042, 0.08807084709405899, -0.597625195980072, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [25.441180075547884, 28.06931904464478, 29.387644911993725, 31.17715436608492, 126.3834872841835]}, "4": {"mean": -1.1761027574539185, "std": 1.6292831897735596, "pca": [0.4947661757469177, -0.18046845495700836, 0.8412097692489624, -0.11898721754550934, -0.02908068709075451, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [24.95288277429199, 25.011075987360808, 25.899786257285367, 27.792038039051377, 105.84925332665443]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "6": {"neuron_profiles": {"0": {"mean": 0.6454592347145081, "std": 1.0646004676818848, "pca": [0.7187995314598083, -0.12568694353103638, -0.14667238295078278, 0.13315437734127045, 0.6544365286827087, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [15.245906781948126, 15.32520637052914, 15.53224947364802, 20.27216777554224, 58.09132596477866]}, "1": {"mean": -0.4842909872531891, "std": 0.06036454811692238, "pca": [-0.03866468742489815, -0.07659751176834106, 0.4343544542789459, 0.8948348164558411, -0.05696277692914009, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [0.8937221440546554, 0.9009398943082104, 0.9486944732767881, 1.2636360099452275, 43.58619046211243]}, "2": {"mean": 0.4058050513267517, "std": 0.8071259260177612, "pca": [0.54057377576828, 0.709732174873352, 0.1926075518131256, -0.03529557213187218, -0.4070832431316376, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [10.440842017859131, 11.458905426318067, 11.69692453548928, 16.956808947912478, 36.522455766797066]}, "3": {"mean": -0.3505806028842926, "std": 0.20351749658584595, "pca": [-0.1358291357755661, 0.10964829474687576, 0.8103929162025452, -0.3627518117427826, 0.4256784915924072, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [2.930500290980873, 2.95247098087734, 3.07595138976811, 3.5041398693373518, 31.5522540807724]}, "4": {"mean": 0.39686423540115356, "std": 0.620632529258728, "pca": [0.4137181341648102, -0.6801419854164124, 0.30982106924057007, -0.22069422900676727, -0.4706901013851166, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [8.850578935652644, 8.890496386178553, 9.938743016328402, 10.517006142701947, 35.71777781564742]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": 0.2739371061325073, "std": 1.582011103630066, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [22.494927112885698, 22.675339786904612, 22.704356068809833, 24.65434142947197, 30.80538321728794]}}, "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": [[0.698977, -0.999887, 0.138475, -0.860239, 0.175613], [0.307351, 0.190375, -0.331612, -0.377027, -0.476942], [0.000622, -0.508956, -0.672239, -0.471862, -0.112473], [0.267668, -0.01209, 1.034594, -0.070692, 0.897474], [-0.151209, -0.325298, -0.387813, -0.256799, -0.24581]], "network.0.bias": [0.21758, 0.203421, 0.188484, 0.318635, -0.741528], "network.2.weight": [[0.920202, -0.350602, -0.581118, 0.26868, 0.100963], [-0.220208, -0.233943, -0.512433, -0.080939, -0.195995], [0.267905, -0.068509, -0.262403, -0.325463, -0.047429], [-0.617686, 0.727705, -0.433644, 0.38251, -0.073177], [-0.765579, 0.380746, -0.211766, 0.621859, -0.528574]], "network.2.bias": [-0.311837, -0.574319, -0.177242, 0.021697, -0.010685], "network.4.weight": [[-0.351903, -0.066308, 0.002928, -0.272014, 0.051399], [0.341062, -0.15196, 0.407894, -0.327591, -0.802516], [-0.801629, -0.300251, -0.199054, -0.638995, -0.259982], [0.555813, -0.303824, -0.0368, -0.303817, -1.030158], [0.218303, -0.021066, 0.303343, -0.915999, -0.456682]], "network.4.bias": [-0.089709, 0.73185, 0.585857, 0.590191, 0.77902], "network.6.weight": [[-0.020713, 1.0597, 0.929604, 1.061123, 1.027975], [-0.220016, -0.072715, -0.231042, -0.039236, 0.051495], [0.053491, 1.043596, 0.76011, 0.302881, 1.014559], [0.268242, 0.152591, -0.402317, -0.42077, -0.205109], [-0.031564, 0.719796, 0.299489, 0.836803, 0.358407]], "network.6.bias": [-0.04318, -0.445627, -0.114065, -0.220189, 0.002246], "network.8.weight": [[0.71657, -0.406483, 0.756366, 0.288043, 0.426853]], "network.8.bias": [-0.739359]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6994327902793884, "train_acc": 0.435, "val_loss": 0.6921961307525635, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6745127141475677, "train_acc": 0.575, "val_loss": 0.6855283975601196, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6579770445823669, "train_acc": 0.575, "val_loss": 0.6476088166236877, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6071116328239441, "train_acc": 0.71, "val_loss": 0.5377233028411865, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5055910348892212, "train_acc": 0.805, "val_loss": 0.46026870608329773, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.42588086426258087, "train_acc": 0.905, "val_loss": 0.36042320728302, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.36591827869415283, "train_acc": 0.935, "val_loss": 0.29237544536590576, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3030730187892914, "train_acc": 0.94, "val_loss": 0.2616308331489563, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.25656918436288834, "train_acc": 0.96, "val_loss": 0.2210448682308197, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2480156123638153, "train_acc": 0.96, "val_loss": 0.20257429778575897, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.20700980722904205, "train_acc": 0.97, "val_loss": 0.18430466949939728, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.18924245983362198, "train_acc": 0.97, "val_loss": 0.17169664800167084, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.19616594165563583, "train_acc": 0.97, "val_loss": 0.16105704009532928, "val_acc": 0.98}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6921961307525635, "final_val_loss": 0.6476088166236877, "initial_val_acc": 0.52, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.5377233028411865, "final_val_loss": 0.16105704009532928, "initial_val_acc": 0.78, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 7}, "improvement": 0.41999999999999993, "first_improvement_epoch": 2}}
|
9,608
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.44, "improved_accuracy": 0.76, "improvement": 0.32, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3234, "learning_rate": 0.09589557583111391, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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0.215867
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[
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0.235476,
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0.076287
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[
-0.02313,
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[
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],
"network.0.bias": [
0.461991,
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"network.2.weight": [
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],
[
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0.319029,
0.518865,
0.201305,
0.050561,
0.212437
],
[
0.084593,
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0.09158
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[
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0.225009,
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0.365708
],
[
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0.18,
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0.095279
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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.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": [
[
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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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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [2.026130, 1.609693, 0.146796, 1.472301, -2.149920, 0.462474]
std: [1.530760, 1.501011, 0.735951, 0.843688, 1.128212, 1.029723]
pca: [[0.213114, 0.803074, 0.239212, 0.019571, 0.283563, 0.414296, 0.000000, 0.000000, 0.000000, 0.000000], [0.723684, -0.219763, 0.139837, 0.175721, -0.522947, 0.322614, 0.000000, 0.000000, 0.000000, 0.000000], [0.147178, -0.244644, -0.552165, -0.489006, 0.317314, 0.523245, 0.000000, 0.000000, 0.000000, 0.000000], [0.341590, -0.051297, -0.397591, 0.667367, 0.483264, -0.209004, 0.000000, 0.000000, 0.000000, 0.000000], [-0.463181, -0.317704, 0.241992, 0.478031, 0.101706, 0.622181, 0.000000, 0.000000, 0.000000, 0.000000], [0.279253, -0.378626, 0.633796, -0.236049, 0.549128, -0.140363, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.498510, 25.046042, 27.052769, 30.951282, 182.351676], [22.645430, 26.300933, 26.953241, 28.666426, 144.872324], [12.618443, 13.052016, 13.211662, 14.143805, 18.577383], [14.040302, 14.412993, 15.285966, 16.434762, 132.507058], [17.339772, 18.018095, 19.870917, 21.131792, 193.492805], [16.720704, 17.056314, 18.858378, 22.622694, 41.622673]]
### 2
mean: [-1.373655, 1.172437, -1.821137, 0.729690, -1.053254, -0.493228]
std: [0.604864, 0.991634, 0.923164, 1.275873, 0.533022, 0.432335]
pca: [[-0.180396, 0.517910, -0.361324, 0.286179, -0.176217, -0.675071, 0.000000, 0.000000, 0.000000, 0.000000], [0.541557, 0.025527, 0.255298, 0.768138, 0.225448, 0.005004, 0.000000, 0.000000, 0.000000, 0.000000], [-0.462106, 0.364727, 0.794923, 0.009835, 0.136250, -0.053568, 0.000000, 0.000000, 0.000000, 0.000000], [0.671628, 0.374588, 0.258249, -0.493466, -0.263084, -0.170838, 0.000000, 0.000000, 0.000000, 0.000000], [-0.063884, 0.534266, -0.170717, 0.193579, -0.388847, 0.701897, 0.000000, 0.000000, 0.000000, 0.000000], [0.073940, 0.415133, -0.276638, -0.216765, 0.824100, 0.139786, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.418457, 9.998011, 10.590014, 11.113413, 123.628914], [15.085098, 16.032747, 16.571315, 19.247972, 105.519372], [14.187461, 15.101913, 15.203424, 15.300552, 163.902309], [17.347783, 19.140796, 21.316451, 23.411388, 65.672106], [8.188234, 9.184265, 10.008508, 10.658130, 94.792892], [7.129976, 7.143174, 7.183002, 8.248325, 44.390488]]
### 4
mean: [-1.070108, 0.493353, 0.496848, -0.410746, 1.098758, -0.387751]
std: [0.933973, 0.451555, 0.825357, 0.048716, 0.891620, 0.420546]
pca: [[0.566162, 0.096145, 0.483055, 0.656325, -0.070895, -0.032970, 0.000000, 0.000000, 0.000000, 0.000000], [-0.271311, 0.584008, 0.366491, -0.088583, -0.007157, 0.665667, 0.000000, 0.000000, 0.000000, 0.000000], [-0.500281, 0.132802, -0.367790, 0.633247, -0.440838, -0.038394, 0.000000, 0.000000, 0.000000, 0.000000], [-0.016443, 0.393089, -0.319954, 0.272718, 0.807124, -0.130445, 0.000000, 0.000000, 0.000000, 0.000000], [-0.540514, -0.006057, 0.616910, 0.001179, 0.146733, -0.552900, 0.000000, 0.000000, 0.000000, 0.000000], [0.251286, 0.691013, -0.118849, -0.293281, -0.357218, -0.481262, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.037234, 13.310062, 16.429667, 19.134822, 96.309750], [6.556990, 6.828164, 7.900771, 9.348732, 44.401752], [11.384015, 11.924663, 14.535868, 16.964294, 44.716280], [0.744734, 0.758934, 0.759475, 0.981224, 36.967105], [12.468130, 12.708487, 15.628226, 18.291196, 98.888224], [6.228635, 6.390801, 7.214311, 8.354244, 34.897564]]
### 6
mean: [0.757120, 0.791472, -0.319736, 0.770487, 0.409835, -0.844962]
std: [0.817515, 0.846490, 0.196811, 0.446189, 0.551564, 0.366934]
pca: [[0.569411, -0.528055, -0.416463, 0.033234, 0.029800, 0.470632, 0.000000, 0.000000, 0.000000, 0.000000], [0.589698, -0.107877, 0.408595, -0.526980, 0.055185, -0.439221, 0.000000, 0.000000, 0.000000, 0.000000], [-0.137098, 0.030447, -0.155794, -0.192649, 0.958470, 0.015089, 0.000000, 0.000000, 0.000000, 0.000000], [0.310793, -0.014107, 0.455135, 0.784345, 0.277511, -0.062061, 0.000000, 0.000000, 0.000000, 0.000000], [0.383887, 0.802600, 0.001447, -0.103962, 0.001755, 0.444580, 0.000000, 0.000000, 0.000000, 0.000000], [-0.255481, -0.253431, 0.654360, -0.240974, 0.019681, 0.619564, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.221780, 11.897607, 14.589408, 16.913656, 68.140831], [11.653759, 12.291384, 15.418015, 17.601236, 71.232446], [2.700634, 2.866779, 3.586208, 4.091737, 28.776217], [6.106259, 6.515290, 8.156862, 9.283928, 69.343853], [7.582571, 8.160916, 10.256020, 11.559403, 36.885168], [5.064598, 5.457821, 6.605928, 7.633449, 76.046561]]
### 8
mean: [-0.743876, 0.188145, -0.855219, -0.832120, 1.251199, -0.097063]
std: [0.388647, 0.463778, 0.628222, 0.477794, 1.062642, 0.096988]
pca: [[-0.266406, 0.641572, -0.082480, 0.536077, -0.113534, 0.458630, 0.000000, 0.000000, 0.000000, 0.000000], [0.317946, -0.328614, -0.105729, 0.541322, 0.678891, 0.160695, 0.000000, 0.000000, 0.000000, 0.000000], [-0.430692, -0.161681, 0.672179, -0.226990, 0.305489, 0.437826, 0.000000, 0.000000, 0.000000, 0.000000], [-0.327548, -0.423878, 0.291373, 0.594379, -0.400159, -0.338714, 0.000000, 0.000000, 0.000000, 0.000000], [0.728525, 0.044290, 0.504577, 0.084900, -0.370641, 0.260979, 0.000000, 0.000000, 0.000000, 0.000000], [-0.066379, -0.522133, -0.436690, -0.087024, -0.367957, 0.623945, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.295434, 5.738913, 7.113353, 8.110457, 66.948825], [6.311939, 6.820102, 8.480861, 9.667464, 16.933044], [8.578939, 9.202930, 11.415461, 13.067014, 76.969748], [6.553621, 6.965575, 8.654441, 9.925951, 74.890826], [14.539377, 15.538704, 19.383197, 22.124692, 112.607915], [1.362911, 1.369894, 1.750341, 2.002278, 8.735705]]
### 10
mean: [0.549880, 0.328254, -0.538104, -0.570770, 0.660854, 0.029167]
std: [0.276859, 0.146713, 0.120047, 0.521202, 0.441280, 0.198348]
pca: [[-0.352318, 0.190422, 0.805170, -0.313410, -0.305080, -0.003663, 0.000000, 0.000000, 0.000000, 0.000000], [-0.185607, -0.484588, -0.014629, 0.479297, -0.614907, -0.350249, 0.000000, 0.000000, 0.000000, 0.000000], [0.151203, -0.518635, 0.473958, 0.133199, 0.619156, -0.287094, 0.000000, 0.000000, 0.000000, 0.000000], [0.663427, 0.058403, 0.341253, 0.385851, -0.231298, 0.487463, 0.000000, 0.000000, 0.000000, 0.000000], [-0.561555, -0.300592, -0.014678, 0.228889, 0.178433, 0.714043, 0.000000, 0.000000, 0.000000, 0.000000], [-0.251158, 0.605116, 0.100904, 0.673079, 0.245205, -0.217743, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.785715, 4.052403, 5.067341, 5.778327, 49.489177], [1.981380, 2.166701, 2.833098, 3.177043, 29.542819], [1.671681, 1.715681, 2.055989, 2.388359, 48.429349], [7.107032, 7.653399, 9.657338, 10.972630, 51.369324], [6.002773, 6.491814, 8.244214, 9.343817, 59.476856], [2.654139, 2.723327, 2.863575, 3.484133, 4.019408]]
### 12
mean: [0.003886]
std: [0.163075]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.206707, 2.219435, 2.403166, 3.048627, 3.461981]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.286015,
0.433089,
0.23101,
0.200613,
-0.400324
],
[
-0.212299,
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0.21188,
0.326046,
0.58322
],
[
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-0.229092,
0.226416,
-0.033133,
0.215867
],
[
-0.057727,
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0.235476,
0.346455,
0.076287
],
[
-0.02313,
-0.224963,
-0.41895,
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-0.069803
],
[
0.04016,
-0.039983,
-0.194825,
0.06904,
0.540587
]
],
"network.0.bias": [
0.461991,
-0.190531,
-0.003898,
0.5535,
-0.443696,
0.077548
],
"network.2.weight": [
[
-0.18958,
-0.313737,
0.154875,
-0.121497,
0.355763,
-0.022388
],
[
-0.175027,
0.319029,
0.518865,
0.201305,
0.050561,
0.212437
],
[
0.084593,
-0.446811,
-0.007009,
-0.471347,
-0.128341,
0.09158
],
[
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0.377109,
0.225009,
0.177365,
0.273747,
0.365708
],
[
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0.18,
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-0.065117,
0.095279
],
[
-0.291989,
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0.097818,
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0.331367,
-0.112101
]
],
"network.2.bias": [
-0.326726,
0.394307,
-0.611164,
0.485229,
-0.150236,
0.221243
],
"network.4.weight": [
[
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-0.636287,
0.322246,
-0.024362
],
[
-0.285758,
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0.073283,
0.48068,
0.131458,
0.078066
],
[
-0.321726,
0.155419,
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0.331872,
-0.012823
],
[
-0.155844,
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0.004714,
0.133239,
0.3709,
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],
[
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0.220745,
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0.625037,
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0.414756
],
[
0.220353,
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-0.044533,
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0.020184,
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]
],
"network.4.bias": [
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-0.246212,
-0.385682,
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0.081491
],
"network.6.weight": [
[
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],
[
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0.416829,
0.057894
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[
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0.110902
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[
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0.071768,
0.117664,
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[
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0.529352,
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[
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0.192399,
-0.03032,
0.224836
]
],
"network.6.bias": [
-0.11956,
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-0.140629,
0.391517,
-0.023066,
-0.504965
],
"network.8.weight": [
[
-0.252043,
0.083199,
-0.330815,
0.059966,
-0.508056,
-0.443176
],
[
0.202429,
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0.006578,
0.306581,
0.381869,
0.162177
],
[
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-0.298033,
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],
[
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[
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0.521541,
0.067374
],
[
0.116795,
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0.075793,
0.207672,
0.316119
]
],
"network.8.bias": [
-0.456566,
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-0.145568,
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0.263294,
-0.01079
],
"network.10.weight": [
[
0.135,
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0.032045,
0.212508,
0.247259,
-0.257477
],
[
-0.125407,
0.349491,
0.063348,
-0.249141,
-0.001482,
-0.307281
],
[
0.016578,
0.233427,
-0.153634,
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-0.204518,
-0.269084
],
[
0.315483,
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0.13113,
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-0.218387
],
[
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0.258006,
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],
[
0.225304,
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0.281969,
-0.31854
]
],
"network.10.bias": [
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-0.340247,
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0.239512,
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],
"network.12.weight": [
[
-0.042261,
0.080194,
0.217964,
-0.100763,
-0.322844,
-0.12955
]
],
"network.12.bias": [
0.22532
]
}
## Activation Signature
### 0
mean: [2.026130, 1.609693, 0.146796, 1.472301, -2.149920, 0.462474]
std: [1.530760, 1.501011, 0.735951, 0.843688, 1.128212, 1.029723]
pca: [[0.213114, 0.803074, 0.239212, 0.019571, 0.283563, 0.414296, 0.000000, 0.000000, 0.000000, 0.000000], [0.723684, -0.219763, 0.139837, 0.175721, -0.522947, 0.322614, 0.000000, 0.000000, 0.000000, 0.000000], [0.147178, -0.244644, -0.552165, -0.489006, 0.317314, 0.523245, 0.000000, 0.000000, 0.000000, 0.000000], [0.341590, -0.051297, -0.397591, 0.667367, 0.483264, -0.209004, 0.000000, 0.000000, 0.000000, 0.000000], [-0.463181, -0.317704, 0.241992, 0.478031, 0.101706, 0.622181, 0.000000, 0.000000, 0.000000, 0.000000], [0.279253, -0.378626, 0.633796, -0.236049, 0.549128, -0.140363, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.498510, 25.046042, 27.052769, 30.951282, 182.351676], [22.645430, 26.300933, 26.953241, 28.666426, 144.872324], [12.618443, 13.052016, 13.211662, 14.143805, 18.577383], [14.040302, 14.412993, 15.285966, 16.434762, 132.507058], [17.339772, 18.018095, 19.870917, 21.131792, 193.492805], [16.720704, 17.056314, 18.858378, 22.622694, 41.622673]]
### 2
mean: [-1.373655, 1.172437, -1.821137, 0.729690, -1.053254, -0.493228]
std: [0.604864, 0.991634, 0.923164, 1.275873, 0.533022, 0.432335]
pca: [[-0.180396, 0.517910, -0.361324, 0.286179, -0.176217, -0.675071, 0.000000, 0.000000, 0.000000, 0.000000], [0.541557, 0.025527, 0.255298, 0.768138, 0.225448, 0.005004, 0.000000, 0.000000, 0.000000, 0.000000], [-0.462106, 0.364727, 0.794923, 0.009835, 0.136250, -0.053568, 0.000000, 0.000000, 0.000000, 0.000000], [0.671628, 0.374588, 0.258249, -0.493466, -0.263084, -0.170838, 0.000000, 0.000000, 0.000000, 0.000000], [-0.063884, 0.534266, -0.170717, 0.193579, -0.388847, 0.701897, 0.000000, 0.000000, 0.000000, 0.000000], [0.073940, 0.415133, -0.276638, -0.216765, 0.824100, 0.139786, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.418457, 9.998011, 10.590014, 11.113413, 123.628914], [15.085098, 16.032747, 16.571315, 19.247972, 105.519372], [14.187461, 15.101913, 15.203424, 15.300552, 163.902309], [17.347783, 19.140796, 21.316451, 23.411388, 65.672106], [8.188234, 9.184265, 10.008508, 10.658130, 94.792892], [7.129976, 7.143174, 7.183002, 8.248325, 44.390488]]
### 4
mean: [-1.070108, 0.493353, 0.496848, -0.410746, 1.098758, -0.387751]
std: [0.933973, 0.451555, 0.825357, 0.048716, 0.891620, 0.420546]
pca: [[0.566162, 0.096145, 0.483055, 0.656325, -0.070895, -0.032970, 0.000000, 0.000000, 0.000000, 0.000000], [-0.271311, 0.584008, 0.366491, -0.088583, -0.007157, 0.665667, 0.000000, 0.000000, 0.000000, 0.000000], [-0.500281, 0.132802, -0.367790, 0.633247, -0.440838, -0.038394, 0.000000, 0.000000, 0.000000, 0.000000], [-0.016443, 0.393089, -0.319954, 0.272718, 0.807124, -0.130445, 0.000000, 0.000000, 0.000000, 0.000000], [-0.540514, -0.006057, 0.616910, 0.001179, 0.146733, -0.552900, 0.000000, 0.000000, 0.000000, 0.000000], [0.251286, 0.691013, -0.118849, -0.293281, -0.357218, -0.481262, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.037234, 13.310062, 16.429667, 19.134822, 96.309750], [6.556990, 6.828164, 7.900771, 9.348732, 44.401752], [11.384015, 11.924663, 14.535868, 16.964294, 44.716280], [0.744734, 0.758934, 0.759475, 0.981224, 36.967105], [12.468130, 12.708487, 15.628226, 18.291196, 98.888224], [6.228635, 6.390801, 7.214311, 8.354244, 34.897564]]
### 6
mean: [0.757120, 0.791472, -0.319736, 0.770487, 0.409835, -0.844962]
std: [0.817515, 0.846490, 0.196811, 0.446189, 0.551564, 0.366934]
pca: [[0.569411, -0.528055, -0.416463, 0.033234, 0.029800, 0.470632, 0.000000, 0.000000, 0.000000, 0.000000], [0.589698, -0.107877, 0.408595, -0.526980, 0.055185, -0.439221, 0.000000, 0.000000, 0.000000, 0.000000], [-0.137098, 0.030447, -0.155794, -0.192649, 0.958470, 0.015089, 0.000000, 0.000000, 0.000000, 0.000000], [0.310793, -0.014107, 0.455135, 0.784345, 0.277511, -0.062061, 0.000000, 0.000000, 0.000000, 0.000000], [0.383887, 0.802600, 0.001447, -0.103962, 0.001755, 0.444580, 0.000000, 0.000000, 0.000000, 0.000000], [-0.255481, -0.253431, 0.654360, -0.240974, 0.019681, 0.619564, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.221780, 11.897607, 14.589408, 16.913656, 68.140831], [11.653759, 12.291384, 15.418015, 17.601236, 71.232446], [2.700634, 2.866779, 3.586208, 4.091737, 28.776217], [6.106259, 6.515290, 8.156862, 9.283928, 69.343853], [7.582571, 8.160916, 10.256020, 11.559403, 36.885168], [5.064598, 5.457821, 6.605928, 7.633449, 76.046561]]
### 8
mean: [-0.743876, 0.188145, -0.855219, -0.832120, 1.251199, -0.097063]
std: [0.388647, 0.463778, 0.628222, 0.477794, 1.062642, 0.096988]
pca: [[-0.266406, 0.641572, -0.082480, 0.536077, -0.113534, 0.458630, 0.000000, 0.000000, 0.000000, 0.000000], [0.317946, -0.328614, -0.105729, 0.541322, 0.678891, 0.160695, 0.000000, 0.000000, 0.000000, 0.000000], [-0.430692, -0.161681, 0.672179, -0.226990, 0.305489, 0.437826, 0.000000, 0.000000, 0.000000, 0.000000], [-0.327548, -0.423878, 0.291373, 0.594379, -0.400159, -0.338714, 0.000000, 0.000000, 0.000000, 0.000000], [0.728525, 0.044290, 0.504577, 0.084900, -0.370641, 0.260979, 0.000000, 0.000000, 0.000000, 0.000000], [-0.066379, -0.522133, -0.436690, -0.087024, -0.367957, 0.623945, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.295434, 5.738913, 7.113353, 8.110457, 66.948825], [6.311939, 6.820102, 8.480861, 9.667464, 16.933044], [8.578939, 9.202930, 11.415461, 13.067014, 76.969748], [6.553621, 6.965575, 8.654441, 9.925951, 74.890826], [14.539377, 15.538704, 19.383197, 22.124692, 112.607915], [1.362911, 1.369894, 1.750341, 2.002278, 8.735705]]
### 10
mean: [0.549880, 0.328254, -0.538104, -0.570770, 0.660854, 0.029167]
std: [0.276859, 0.146713, 0.120047, 0.521202, 0.441280, 0.198348]
pca: [[-0.352318, 0.190422, 0.805170, -0.313410, -0.305080, -0.003663, 0.000000, 0.000000, 0.000000, 0.000000], [-0.185607, -0.484588, -0.014629, 0.479297, -0.614907, -0.350249, 0.000000, 0.000000, 0.000000, 0.000000], [0.151203, -0.518635, 0.473958, 0.133199, 0.619156, -0.287094, 0.000000, 0.000000, 0.000000, 0.000000], [0.663427, 0.058403, 0.341253, 0.385851, -0.231298, 0.487463, 0.000000, 0.000000, 0.000000, 0.000000], [-0.561555, -0.300592, -0.014678, 0.228889, 0.178433, 0.714043, 0.000000, 0.000000, 0.000000, 0.000000], [-0.251158, 0.605116, 0.100904, 0.673079, 0.245205, -0.217743, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.785715, 4.052403, 5.067341, 5.778327, 49.489177], [1.981380, 2.166701, 2.833098, 3.177043, 29.542819], [1.671681, 1.715681, 2.055989, 2.388359, 48.429349], [7.107032, 7.653399, 9.657338, 10.972630, 51.369324], [6.002773, 6.491814, 8.244214, 9.343817, 59.476856], [2.654139, 2.723327, 2.863575, 3.484133, 4.019408]]
### 12
mean: [0.003886]
std: [0.163075]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.206707, 2.219435, 2.403166, 3.048627, 3.461981]]
## 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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3.461980878638709]}}, "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": [[0.286015, 0.433089, 0.23101, 0.200613, -0.400324], [-0.212299, 0.111584, 0.21188, 0.326046, 0.58322], [-0.080349, -0.229092, 0.226416, -0.033133, 0.215867], [-0.057727, -0.185645, 0.235476, 0.346455, 0.076287], [-0.02313, -0.224963, -0.41895, -0.142823, -0.069803], [0.04016, -0.039983, -0.194825, 0.06904, 0.540587]], "network.0.bias": [0.461991, -0.190531, -0.003898, 0.5535, -0.443696, 0.077548], "network.2.weight": [[-0.18958, -0.313737, 0.154875, -0.121497, 0.355763, -0.022388], [-0.175027, 0.319029, 0.518865, 0.201305, 0.050561, 0.212437], [0.084593, -0.446811, -0.007009, -0.471347, -0.128341, 0.09158], [-0.458861, 0.377109, 0.225009, 0.177365, 0.273747, 0.365708], [-0.228165, -0.263476, 0.18, -0.080486, -0.065117, 0.095279], [-0.291989, 0.086081, 0.097818, -0.153675, 0.331367, -0.112101]], "network.2.bias": [-0.326726, 0.394307, -0.611164, 0.485229, -0.150236, 0.221243], "network.4.weight": [[-0.235491, -0.25518, 0.362043, -0.636287, 0.322246, -0.024362], [-0.285758, -0.078528, 0.073283, 0.48068, 0.131458, 0.078066], [-0.321726, 0.155419, 0.139442, 0.623939, 0.331872, -0.012823], [-0.155844, -0.121798, 0.004714, 0.133239, 0.3709, -0.218229], [-0.200817, 0.220745, -0.317322, 0.625037, -0.129902, 0.414756], [0.220353, -0.324122, -0.044533, -0.095526, 0.020184, -0.305579]], "network.4.bias": [-0.198221, 0.154078, -0.246212, -0.385682, 0.275536, 0.081491], "network.6.weight": [[-0.388893, 0.391043, 0.252562, 0.054271, 0.49728, -0.183386], [-0.176975, 0.254253, 0.462209, -0.32424, 0.416829, 0.057894], [-0.190377, -0.043908, -0.14228, -0.202805, -0.072927, 0.110902], [0.134135, 0.08546, 0.383492, 0.071768, 0.117664, -0.391571], [-0.173384, 0.409329, 0.529352, -0.038911, -0.054048, -0.123785], [-0.07486, -0.400518, -0.201907, 0.192399, -0.03032, 0.224836]], "network.6.bias": [-0.11956, -0.047023, -0.140629, 0.391517, -0.023066, -0.504965], "network.8.weight": [[-0.252043, 0.083199, -0.330815, 0.059966, -0.508056, -0.443176], [0.202429, -0.057573, 0.006578, 0.306581, 0.381869, 0.162177], [-0.359172, 0.031028, -0.004628, -0.441204, -0.298033, -0.36734], [-0.244669, -0.23715, -0.051771, -0.042799, -0.105311, 0.293476], [0.31054, 0.540304, 0.164966, 0.144173, 0.521541, 0.067374], [0.116795, -0.402212, -0.065164, 0.075793, 0.207672, 0.316119]], "network.8.bias": [-0.456566, -0.312509, -0.145568, -0.382977, 0.263294, -0.01079], "network.10.weight": [[0.135, 0.033572, 0.032045, 0.212508, 0.247259, -0.257477], [-0.125407, 0.349491, 0.063348, -0.249141, -0.001482, -0.307281], [0.016578, 0.233427, -0.153634, -0.379463, -0.204518, -0.269084], [0.315483, -0.299834, -0.604964, 0.13113, -0.371649, -0.218387], [0.185303, 0.39628, 0.04436, -0.368129, 0.258006, -0.14807], [0.225304, -0.242296, -0.022628, -0.079124, 0.281969, -0.31854]], "network.10.bias": [0.232163, 0.243217, -0.340247, -0.031218, 0.239512, -0.263393], "network.12.weight": [[-0.042261, 0.080194, 0.217964, -0.100763, -0.322844, -0.12955]], "network.12.bias": [0.22532]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6699115633964539, "train_acc": 0.56, "val_loss": 0.9364650249481201, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6825517416000366, "train_acc": 0.575, "val_loss": 0.7038275003433228, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.7215724587440491, "train_acc": 0.515, "val_loss": 0.6419184803962708, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6713773608207703, "train_acc": 0.62, "val_loss": 0.682243824005127, "val_acc": 0.56}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.7057430148124695, "train_acc": 0.485, "val_loss": 0.6855612397193909, "val_acc": 0.56}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.7132608890533447, "train_acc": 0.485, "val_loss": 0.6857585906982422, "val_acc": 0.56}], "summary": {"total_epochs": 6, "degraded_epochs": 2, "improved_epochs": 4, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.9364650249481201, "final_val_loss": 0.7038275003433228, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.6419184803962708, "final_val_loss": 0.6857585906982422, "initial_val_acc": 0.76, "final_val_acc": 0.56, "best_val_acc": 0.76, "best_epoch": 2}, "improvement": 0.32, "first_improvement_epoch": 1}}
|
9,609
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.56, "improved_accuracy": 0.94, "improvement": 0.3799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6242, "learning_rate": 0.09965298330361035, "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: relu
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: [1.848932, 4.457286, 2.503561, -2.538135, 4.865326]
std: [2.999979, 4.526470, 2.954880, 1.558105, 4.778881]
pca: [[0.328260, 0.877333, 0.093254, -0.280779, -0.187082, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.579296, -0.163875, 0.716781, 0.220701, 0.274000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.380584, 0.045967, -0.367812, 0.740574, -0.411470, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175724, 0.384196, -0.195761, 0.406108, 0.786300, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.617202, -0.231759, -0.551290, -0.398849, 0.319920, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.343424, 50.831457, 55.489697, 62.916677, 166.403859], [68.861672, 69.103368, 78.262922, 79.400873, 401.155770], [47.718475, 50.234299, 52.487681, 54.939319, 225.320458], [24.761029, 25.237863, 30.657883, 31.880019, 228.432159], [78.120704, 80.254801, 83.366858, 91.251831, 437.879377]]
### 2
mean: [13.249081, -4.891809, 3.643534, 10.048156, -8.393919]
std: [13.191771, 4.149302, 3.611767, 10.272759, 8.045499]
pca: [[0.682240, -0.194900, -0.499076, -0.119515, 0.482909, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.213035, 0.646401, -0.090172, 0.441265, 0.577872, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.185280, -0.494857, 0.551595, 0.592757, 0.255284, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.530839, 0.486445, 0.611633, -0.327840, -0.002656, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.415987, -0.250337, 0.253849, -0.576334, 0.606371, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[214.402833, 224.396864, 225.913078, 237.514193, 1192.417404], [67.534422, 72.011797, 73.342451, 74.089272, 440.262830], [57.576458, 62.154489, 63.395090, 64.407177, 327.918092], [168.998648, 170.970717, 174.732737, 183.087790, 904.333992], [132.858010, 134.436429, 136.416129, 146.073394, 755.452682]]
### 4
mean: [-5.306420, -3.742057, -1.506186, 19.192944, 19.126986]
std: [5.327665, 4.709865, 1.327024, 19.342888, 19.308283]
pca: [[-0.188442, -0.093463, -0.416217, 0.805663, 0.365274, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.166504, -0.404159, 0.820081, 0.364582, -0.058994, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.046326, 0.769316, 0.384786, 0.047959, 0.505615, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.684211, -0.377431, 0.054829, -0.130928, 0.607662, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.682990, 0.305972, 0.056260, 0.445584, -0.488053, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[86.742133, 89.863548, 91.191590, 95.490466, 477.577828], [77.160534, 79.571669, 80.482940, 85.413861, 336.785147], [21.757671, 22.667365, 23.471509, 24.029922, 135.556794], [312.670356, 328.648830, 332.002265, 346.407265, 1727.364917], [313.868129, 326.712153, 330.782362, 346.755374, 1721.428891]]
### 6
mean: [28.424959, -23.873831, -4.760793, -3.050937, -0.590979]
std: [28.946007, 23.657412, 4.473161, 4.220955, 0.419165]
pca: [[0.764004, -0.274548, -0.087716, 0.577250, 0.003286, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.624404, -0.489628, -0.245226, 0.556096, 0.031714, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.118058, 0.034000, 0.937710, 0.315360, -0.078457, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.111176, 0.811409, -0.225635, 0.499738, -0.169136, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.010973, 0.159210, 0.044272, 0.091382, 0.981948, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[468.669018, 491.371837, 497.872246, 520.904237, 2558.246511], [383.472119, 400.349039, 405.424176, 424.116650, 2148.644730], [71.967623, 76.303310, 77.116611, 80.246045, 428.471423], [68.029709, 72.605103, 73.931486, 77.709100, 274.584338], [6.655774, 7.316827, 7.471784, 7.845848, 53.188150]]
### 8
mean: [-8.592830, -1.859672, -12.807980, 22.505331, -14.561696]
std: [7.751271, 1.418236, 12.508537, 23.498871, 16.210634]
pca: [[-0.241121, 0.089457, -0.349353, -0.361131, 0.825467, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.044105, 0.092388, -0.089900, 0.928554, 0.345288, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.388986, 0.844768, 0.358083, -0.041213, -0.071656, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.730991, 0.139448, 0.535260, -0.073407, 0.392829, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.504240, -0.500382, 0.674644, 0.016845, 0.199829, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[125.258654, 131.388885, 133.665328, 139.849412, 773.354734], [22.980541, 23.911795, 24.264730, 25.396633, 167.370494], [202.705543, 210.846074, 213.934632, 223.917885, 1152.718093], [379.370517, 398.978276, 406.223237, 424.967806, 2025.479802], [261.329404, 275.863288, 281.200739, 294.127888, 1310.552564]]
### 10
mean: [-4.499799, 9.530283, -4.843979, -0.731855, 14.184879]
std: [3.995755, 10.311351, 6.692113, 0.091077, 15.214252]
pca: [[-0.200123, -0.233307, 0.560080, 0.761498, -0.109316, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.516676, 0.128304, 0.158436, 0.175255, 0.812876, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.334402, 0.928110, 0.116116, 0.113782, 0.018895, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.004503, -0.027636, 0.799152, -0.600172, -0.019141, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.762333, 0.258753, 0.095303, 0.127490, -0.571453, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[65.026685, 67.134283, 68.286201, 71.411706, 404.981913], [166.753170, 174.452727, 178.076647, 186.212649, 857.725381], [105.577839, 115.330919, 119.051212, 124.516555, 435.958066], [1.458025, 1.518634, 1.522128, 1.542929, 65.866979], [246.202632, 257.231702, 262.483260, 274.476917, 1276.639177]]
### 12
mean: [-15.112912]
std: [17.055414]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[274.237866, 289.785766, 297.937462, 310.312124, 1360.162018]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.16188,
0.429602,
-0.355833,
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],
[
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-0.087235,
-0.066592,
-0.014387
],
[
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0.758971,
0.385718,
0.092432,
-0.586606
],
[
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}
## Activation Signature
### 0
mean: [1.848932, 4.457286, 2.503561, -2.538135, 4.865326]
std: [2.999979, 4.526470, 2.954880, 1.558105, 4.778881]
pca: [[0.328260, 0.877333, 0.093254, -0.280779, -0.187082, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.579296, -0.163875, 0.716781, 0.220701, 0.274000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.380584, 0.045967, -0.367812, 0.740574, -0.411470, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175724, 0.384196, -0.195761, 0.406108, 0.786300, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.617202, -0.231759, -0.551290, -0.398849, 0.319920, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.343424, 50.831457, 55.489697, 62.916677, 166.403859], [68.861672, 69.103368, 78.262922, 79.400873, 401.155770], [47.718475, 50.234299, 52.487681, 54.939319, 225.320458], [24.761029, 25.237863, 30.657883, 31.880019, 228.432159], [78.120704, 80.254801, 83.366858, 91.251831, 437.879377]]
### 2
mean: [13.249081, -4.891809, 3.643534, 10.048156, -8.393919]
std: [13.191771, 4.149302, 3.611767, 10.272759, 8.045499]
pca: [[0.682240, -0.194900, -0.499076, -0.119515, 0.482909, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.213035, 0.646401, -0.090172, 0.441265, 0.577872, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.185280, -0.494857, 0.551595, 0.592757, 0.255284, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.530839, 0.486445, 0.611633, -0.327840, -0.002656, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.415987, -0.250337, 0.253849, -0.576334, 0.606371, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[214.402833, 224.396864, 225.913078, 237.514193, 1192.417404], [67.534422, 72.011797, 73.342451, 74.089272, 440.262830], [57.576458, 62.154489, 63.395090, 64.407177, 327.918092], [168.998648, 170.970717, 174.732737, 183.087790, 904.333992], [132.858010, 134.436429, 136.416129, 146.073394, 755.452682]]
### 4
mean: [-5.306420, -3.742057, -1.506186, 19.192944, 19.126986]
std: [5.327665, 4.709865, 1.327024, 19.342888, 19.308283]
pca: [[-0.188442, -0.093463, -0.416217, 0.805663, 0.365274, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.166504, -0.404159, 0.820081, 0.364582, -0.058994, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.046326, 0.769316, 0.384786, 0.047959, 0.505615, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.684211, -0.377431, 0.054829, -0.130928, 0.607662, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.682990, 0.305972, 0.056260, 0.445584, -0.488053, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[86.742133, 89.863548, 91.191590, 95.490466, 477.577828], [77.160534, 79.571669, 80.482940, 85.413861, 336.785147], [21.757671, 22.667365, 23.471509, 24.029922, 135.556794], [312.670356, 328.648830, 332.002265, 346.407265, 1727.364917], [313.868129, 326.712153, 330.782362, 346.755374, 1721.428891]]
### 6
mean: [28.424959, -23.873831, -4.760793, -3.050937, -0.590979]
std: [28.946007, 23.657412, 4.473161, 4.220955, 0.419165]
pca: [[0.764004, -0.274548, -0.087716, 0.577250, 0.003286, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.624404, -0.489628, -0.245226, 0.556096, 0.031714, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.118058, 0.034000, 0.937710, 0.315360, -0.078457, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.111176, 0.811409, -0.225635, 0.499738, -0.169136, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.010973, 0.159210, 0.044272, 0.091382, 0.981948, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[468.669018, 491.371837, 497.872246, 520.904237, 2558.246511], [383.472119, 400.349039, 405.424176, 424.116650, 2148.644730], [71.967623, 76.303310, 77.116611, 80.246045, 428.471423], [68.029709, 72.605103, 73.931486, 77.709100, 274.584338], [6.655774, 7.316827, 7.471784, 7.845848, 53.188150]]
### 8
mean: [-8.592830, -1.859672, -12.807980, 22.505331, -14.561696]
std: [7.751271, 1.418236, 12.508537, 23.498871, 16.210634]
pca: [[-0.241121, 0.089457, -0.349353, -0.361131, 0.825467, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.044105, 0.092388, -0.089900, 0.928554, 0.345288, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.388986, 0.844768, 0.358083, -0.041213, -0.071656, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.730991, 0.139448, 0.535260, -0.073407, 0.392829, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.504240, -0.500382, 0.674644, 0.016845, 0.199829, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[125.258654, 131.388885, 133.665328, 139.849412, 773.354734], [22.980541, 23.911795, 24.264730, 25.396633, 167.370494], [202.705543, 210.846074, 213.934632, 223.917885, 1152.718093], [379.370517, 398.978276, 406.223237, 424.967806, 2025.479802], [261.329404, 275.863288, 281.200739, 294.127888, 1310.552564]]
### 10
mean: [-4.499799, 9.530283, -4.843979, -0.731855, 14.184879]
std: [3.995755, 10.311351, 6.692113, 0.091077, 15.214252]
pca: [[-0.200123, -0.233307, 0.560080, 0.761498, -0.109316, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.516676, 0.128304, 0.158436, 0.175255, 0.812876, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.334402, 0.928110, 0.116116, 0.113782, 0.018895, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.004503, -0.027636, 0.799152, -0.600172, -0.019141, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.762333, 0.258753, 0.095303, 0.127490, -0.571453, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[65.026685, 67.134283, 68.286201, 71.411706, 404.981913], [166.753170, 174.452727, 178.076647, 186.212649, 857.725381], [105.577839, 115.330919, 119.051212, 124.516555, 435.958066], [1.458025, 1.518634, 1.522128, 1.542929, 65.866979], [246.202632, 257.231702, 262.483260, 274.476917, 1276.639177]]
### 12
mean: [-15.112912]
std: [17.055414]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[274.237866, 289.785766, 297.937462, 310.312124, 1360.162018]]
## 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": 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": [[1.208857, 0.16188, 0.429602, -0.355833, -0.276974], [1.392239, 1.524886, -0.087235, -0.066592, -0.014387], [0.857595, 0.758971, 0.385718, 0.092432, -0.586606], [-0.196652, -0.689099, 0.014991, -0.113752, -0.114733], [1.029481, 1.644414, 0.657763, 0.014496, -0.684758]], "network.0.bias": [0.256869, 0.28881, -0.227141, -0.683597, 0.027161], "network.2.weight": [[1.090663, 0.689202, 0.619749, 0.354524, 1.295224], [-0.086689, -0.293501, -0.058472, 0.259835, -0.544903], [-0.053347, 0.360393, 0.63603, -0.098011, 0.0896], [0.91639, 0.850347, 0.85161, -0.067805, 0.445257], [-0.759591, -0.41721, -0.701379, -0.036037, -0.548204]], "network.2.bias": [-0.213939, -0.534895, 0.001567, -0.165901, -0.33557], "network.4.weight": [[-0.217936, -0.387505, -0.052115, -0.221056, 0.379524], [-0.460328, 0.297277, 0.188354, 0.067, -0.191586], [-0.026147, -0.274033, -0.443765, 0.060967, -0.224151], [0.954769, 0.603078, 0.536423, 0.47117, 0.054524], [1.053753, -0.226036, 0.145645, 0.477093, -0.161688]], "network.4.bias": [-0.005876, 0.999606, -0.155588, -0.152672, -0.166344], "network.6.weight": [[0.378396, -0.78889, 0.311497, 0.7034, 0.787577], [0.263112, -0.142956, -0.068325, -0.527698, -0.698338], [-0.240633, 0.12353, -0.022836, -0.372194, 0.142304], [-0.121771, 0.960774, 0.398412, 0.016329, -0.225559], [0.293968, 0.182606, 0.219073, -0.011772, -0.008029]], "network.6.bias": [-0.000437, -0.354226, -0.361268, 0.77108, -0.245622], "network.8.weight": [[-0.266785, -0.106017, 0.293764, 0.142357, 0.019959], [-0.04939, -0.334208, 0.06771, -0.028219, 0.207557], [-0.43583, -0.310299, 0.235978, -0.269634, -0.179412], [0.80561, -0.398647, -0.23627, -0.72402, 0.112626], [-0.552569, 0.248087, 0.090769, 0.787884, -0.375976]], "network.8.bias": [-1.039337, -0.443953, -0.308881, -0.210492, 0.926634], "network.10.weight": [[0.131582, 0.090339, 0.220908, -0.172257, -0.045134], [0.107121, 0.348946, 0.42992, 0.438742, -0.247103], [0.087615, 0.31656, -0.438246, -0.271185, 0.93567], [0.435054, 0.133113, -0.275248, -0.004159, -0.018187], [0.346507, -0.217705, -0.164856, 0.648225, -0.311133]], "network.10.bias": [-0.570263, -0.341723, 0.962503, -0.630538, -0.421006], "network.12.weight": [[0.076373, -0.470739, 0.87744, -0.078761, -0.784469]], "network.12.bias": [0.238922]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.695799320936203, "train_acc": 0.48, "val_loss": 0.6847913861274719, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6818006038665771, "train_acc": 0.56, "val_loss": 0.6872969269752502, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.68567955493927, "train_acc": 0.56, "val_loss": 0.670454204082489, "val_acc": 0.56}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6689019501209259, "train_acc": 0.56, "val_loss": 0.639866054058075, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6202841103076935, "train_acc": 0.635, "val_loss": 0.45201170444488525, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.37858249247074127, "train_acc": 0.835, "val_loss": 0.26733896136283875, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.40411344170570374, "train_acc": 0.88, "val_loss": 0.2486305683851242, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.1927909255027771, "train_acc": 0.925, "val_loss": 0.5434207916259766, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4436732679605484, "train_acc": 0.82, "val_loss": 0.19785450398921967, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.2537276819348335, "train_acc": 0.915, "val_loss": 0.30626145005226135, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.27523331344127655, "train_acc": 0.895, "val_loss": 0.2713722884654999, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.24207409471273422, "train_acc": 0.9, "val_loss": 0.2518170177936554, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 4, "improved_epochs": 8, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6847913861274719, "final_val_loss": 0.639866054058075, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.45201170444488525, "final_val_loss": 0.2518170177936554, "initial_val_acc": 0.74, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 8}, "improvement": 0.3799999999999999, "first_improvement_epoch": 3}}
|
9,610
|
{"target_pattern": "alternating", "degraded_accuracy": 0.68, "improved_accuracy": 0.96, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2071, "learning_rate": 0.07023054676816014, "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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0.127317,
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0.247687,
-0.004704
],
[
0.338984,
0.56114,
0.039807,
0.077594,
0.038813,
-0.085057,
-0.008847
],
[
0.182206,
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0.003048,
0.470626,
0.333478,
-0.075183
]
],
"network.8.bias": [
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-0.49036,
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],
"network.10.weight": [
[
0.501832,
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[
0.001221,
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[
0.415718,
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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: [-3.502939, 1.555947, 2.342017, 1.121189, -3.709832, 0.820992, -2.492691]
std: [2.334670, 2.496354, 1.953239, 1.759602, 2.575458, 1.256272, 1.891383]
pca: [[0.479444, 0.159200, 0.421709, 0.065187, -0.011710, 0.739061, 0.127876, 0.000000, 0.000000, 0.000000], [-0.311924, 0.869948, -0.171267, -0.248775, -0.000505, 0.163533, -0.167119, 0.000000, 0.000000, 0.000000], [-0.423217, -0.076243, -0.120585, -0.088804, 0.022335, 0.218690, 0.862742, 0.000000, 0.000000, 0.000000], [-0.247066, -0.029800, 0.738562, -0.424582, 0.411126, -0.206870, -0.022512, 0.000000, 0.000000, 0.000000], [0.540978, 0.252355, 0.044571, -0.389757, -0.353777, -0.467983, 0.381572, 0.000000, 0.000000, 0.000000], [0.047440, 0.384003, 0.219247, 0.743075, 0.271117, -0.342063, 0.244026, 0.000000, 0.000000, 0.000000], [0.371181, 0.001793, -0.427503, -0.204043, 0.794781, 0.020232, 0.075783, 0.000000, 0.000000, 0.000000]]
fourier: [[34.996341, 36.027097, 41.850065, 42.202492, 315.264521], [40.748304, 40.773696, 46.280110, 51.140849, 140.035221], [30.430894, 31.006238, 35.695377, 36.466687, 210.781574], [27.076248, 27.102685, 31.772714, 37.770036, 100.907026], [40.360367, 41.306367, 43.202697, 43.583845, 333.884900], [18.840805, 20.244708, 22.315523, 28.349173, 73.889268], [27.397542, 33.193564, 35.888425, 39.328688, 224.342185]]
### 2
mean: [-2.156791, -1.520752, -1.877530, 1.163562, -1.411003, -0.157086, -0.067814]
std: [3.326043, 1.911938, 2.527955, 2.132728, 2.121499, 0.999823, 1.705588]
pca: [[0.626666, 0.103563, 0.126543, 0.036410, -0.307024, 0.680078, -0.149855, 0.000000, 0.000000, 0.000000], [0.353167, -0.011634, -0.525367, 0.379993, 0.522731, 0.081864, 0.418070, 0.000000, 0.000000, 0.000000], [0.476784, -0.001678, 0.027862, 0.276833, 0.083655, -0.556833, -0.614980, 0.000000, 0.000000, 0.000000], [-0.245603, 0.720807, -0.242752, 0.462256, -0.381949, -0.038244, -0.012621, 0.000000, 0.000000, 0.000000], [0.398159, 0.071015, 0.273905, -0.083719, -0.373397, -0.451468, 0.641205, 0.000000, 0.000000, 0.000000], [-0.151844, -0.068982, 0.706222, 0.618185, 0.250554, 0.124227, 0.114338, 0.000000, 0.000000, 0.000000], [0.115464, 0.678065, 0.272943, -0.418092, 0.526690, -0.003268, -0.013567, 0.000000, 0.000000, 0.000000]]
fourier: [[59.032396, 63.396389, 64.491927, 69.193089, 194.111213], [31.944572, 32.658717, 35.394683, 40.087800, 136.867651], [45.141539, 48.077896, 48.277771, 52.939862, 168.977674], [32.503389, 35.952655, 39.073116, 42.640263, 104.720562], [36.782757, 41.841797, 42.093666, 43.667478, 126.990266], [15.349322, 15.717379, 16.784224, 18.161377, 18.769826], [25.159329, 26.377992, 31.252032, 31.977564, 33.749110]]
### 4
mean: [-0.821157, 0.819120, -0.183458, -0.154665, 0.489438, 0.189655, -0.876232]
std: [0.767022, 0.984172, 0.512089, 0.458015, 1.029314, 0.910576, 2.233274]
pca: [[0.183290, -0.436325, -0.012643, 0.106316, 0.566725, 0.174326, 0.642647, 0.000000, 0.000000, 0.000000], [0.082017, 0.678674, -0.029593, 0.245396, 0.383110, 0.562094, -0.094110, 0.000000, 0.000000, 0.000000], [0.130981, -0.221671, 0.187031, -0.570040, 0.509011, 0.067068, -0.556946, 0.000000, 0.000000, 0.000000], [0.022866, -0.266598, 0.033234, 0.763747, 0.249408, -0.260552, -0.462490, 0.000000, 0.000000, 0.000000], [-0.274914, 0.073714, 0.945218, 0.076885, -0.004430, -0.006243, 0.139933, 0.000000, 0.000000, 0.000000], [-0.250374, -0.470707, -0.013615, 0.096838, -0.325342, 0.753168, -0.181865, 0.000000, 0.000000, 0.000000], [0.896512, -0.042549, 0.263167, 0.070238, -0.323861, 0.118211, -0.037492, 0.000000, 0.000000, 0.000000]]
fourier: [[11.954174, 12.744697, 13.394424, 15.685311, 73.904119], [14.657708, 14.961559, 15.659497, 20.127762, 73.720813], [8.417756, 8.896301, 9.184172, 9.830901, 16.511196], [7.349757, 7.864083, 8.055984, 8.135994, 13.919851], [15.688464, 16.410807, 16.459345, 21.591793, 44.049406], [12.477456, 12.482718, 13.947794, 17.068962, 17.222891], [34.726385, 38.039430, 41.728426, 47.355415, 78.860854]]
### 6
mean: [0.256113, -0.000754, -0.161216, 0.456700, 0.560228, -0.666821, 0.404566]
std: [0.478139, 0.359352, 0.343283, 0.785476, 1.704243, 0.491979, 1.147652]
pca: [[-0.205653, -0.162330, 0.098406, -0.113013, 0.805969, -0.377152, -0.342156, 0.000000, 0.000000, 0.000000], [0.105286, 0.427938, 0.436689, -0.528893, 0.245993, 0.522951, 0.036990, 0.000000, 0.000000, 0.000000], [-0.113443, -0.350160, 0.388147, 0.529864, 0.019307, 0.538760, -0.377452, 0.000000, 0.000000, 0.000000], [-0.342857, -0.151896, 0.140485, 0.212785, 0.293592, 0.093961, 0.836264, 0.000000, 0.000000, 0.000000], [0.745200, -0.257245, -0.373839, 0.079140, 0.378078, 0.265014, 0.138951, 0.000000, 0.000000, 0.000000], [-0.127298, 0.725097, -0.344576, 0.505777, 0.245231, 0.122626, -0.091167, 0.000000, 0.000000, 0.000000], [0.494645, 0.229985, 0.608882, 0.345534, -0.015821, -0.447122, 0.110157, 0.000000, 0.000000, 0.000000]]
fourier: [[6.165214, 6.800924, 8.272414, 8.431866, 23.050135], [5.268870, 5.520216, 6.106530, 6.167645, 7.678716], [5.333530, 5.469075, 6.013390, 6.159592, 14.509481], [9.862277, 10.542065, 13.606244, 14.984449, 41.102964], [21.789580, 22.033511, 26.655853, 34.567365, 50.420548], [7.385506, 8.254815, 8.765363, 9.609238, 60.013891], [16.204947, 16.749446, 20.586985, 22.178985, 36.410975]]
### 8
mean: [0.521944, 0.419514, 0.364446, 0.802126, -0.104771, -0.307568, 0.825908]
std: [1.329773, 0.737547, 1.512045, 1.844013, 0.205732, 0.094088, 0.551078]
pca: [[0.460447, -0.377702, -0.447121, -0.162650, 0.041900, 0.628731, 0.147986, 0.000000, 0.000000, 0.000000], [-0.254844, -0.350946, -0.086258, -0.529931, 0.357781, -0.366743, 0.510995, 0.000000, 0.000000, 0.000000], [0.524457, 0.066215, 0.398428, -0.326079, 0.535778, -0.086602, -0.401162, 0.000000, 0.000000, 0.000000], [0.639791, 0.166135, -0.239562, 0.047247, -0.331891, -0.567559, 0.266776, 0.000000, 0.000000, 0.000000], [0.061544, 0.550125, 0.015212, 0.316756, 0.497450, 0.216372, 0.546568, 0.000000, 0.000000, 0.000000], [0.008630, -0.428365, -0.302426, 0.628186, 0.444480, -0.295719, -0.212927, 0.000000, 0.000000, 0.000000], [0.186530, -0.464822, 0.696287, 0.298676, -0.167355, 0.079419, 0.375246, 0.000000, 0.000000, 0.000000]]
fourier: [[16.389760, 16.797086, 21.390574, 26.329150, 46.974957], [9.252429, 9.557410, 11.287128, 14.619829, 37.756288], [18.509429, 18.854720, 23.312176, 30.410150, 32.800176], [22.506323, 23.034126, 29.228576, 36.636263, 72.191315], [2.853095, 2.874026, 3.173083, 3.704130, 9.429372], [1.391439, 1.444868, 1.525981, 1.793511, 27.681106], [7.362773, 7.646521, 7.850595, 11.246220, 74.331706]]
### 10
mean: [1.112382, -0.109682, 0.428511, 0.858186, -0.459376, -1.043327, 0.131546]
std: [2.417373, 0.672058, 1.885292, 2.199001, 0.194745, 0.137782, 1.306417]
pca: [[0.596361, -0.041184, -0.527438, 0.165404, -0.471410, -0.212550, -0.264013, 0.000000, 0.000000, 0.000000], [0.164665, 0.628124, 0.142212, -0.087036, 0.408464, -0.414686, -0.460151, 0.000000, 0.000000, 0.000000], [0.464927, -0.341844, 0.603168, -0.006926, -0.014213, -0.465218, 0.294100, 0.000000, 0.000000, 0.000000], [0.542523, 0.053070, 0.221779, -0.373379, 0.075328, 0.696154, -0.154755, 0.000000, 0.000000, 0.000000], [0.043008, 0.692031, 0.139607, 0.045321, -0.467629, 0.060804, 0.524715, 0.000000, 0.000000, 0.000000], [-0.032512, 0.021005, 0.410295, 0.787835, -0.139703, 0.251576, -0.355905, 0.000000, 0.000000, 0.000000], [0.322248, 0.068865, -0.317420, 0.450409, 0.605690, 0.121701, 0.454004, 0.000000, 0.000000, 0.000000]]
fourier: [[30.330073, 31.648744, 37.966488, 48.641293, 100.114351], [8.443953, 8.620204, 9.871378, 10.723833, 13.273225], [23.628419, 25.461668, 30.161028, 37.662380, 38.565983], [27.462020, 29.046739, 35.001909, 43.830376, 77.236695], [2.751257, 2.852973, 2.899497, 3.613974, 41.343874], [1.918296, 2.062073, 2.129086, 2.427230, 93.899462], [15.643634, 16.286673, 17.104716, 20.413075, 26.340262]]
### 12
mean: [1.659605]
std: [4.448125]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[56.241063, 63.480311, 71.402226, 89.562411, 149.364474]]
## 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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0.165408,
0.644105,
-0.046694,
0.231574,
-0.041505,
-0.51041
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[
-0.01954,
-0.316511,
0.384515,
0.378512,
0.057172,
0.393622,
0.093892
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],
"network.10.bias": [
0.171606,
0.02687,
-0.395393,
-0.055081,
-0.060983,
-0.84739,
-0.339277
],
"network.12.weight": [
[
0.583651,
0.419288,
0.552632,
0.502462,
0.411756,
0.890099,
0.847869
]
],
"network.12.bias": [
-0.282838
]
}
## Activation Signature
### 0
mean: [-3.502939, 1.555947, 2.342017, 1.121189, -3.709832, 0.820992, -2.492691]
std: [2.334670, 2.496354, 1.953239, 1.759602, 2.575458, 1.256272, 1.891383]
pca: [[0.479444, 0.159200, 0.421709, 0.065187, -0.011710, 0.739061, 0.127876, 0.000000, 0.000000, 0.000000], [-0.311924, 0.869948, -0.171267, -0.248775, -0.000505, 0.163533, -0.167119, 0.000000, 0.000000, 0.000000], [-0.423217, -0.076243, -0.120585, -0.088804, 0.022335, 0.218690, 0.862742, 0.000000, 0.000000, 0.000000], [-0.247066, -0.029800, 0.738562, -0.424582, 0.411126, -0.206870, -0.022512, 0.000000, 0.000000, 0.000000], [0.540978, 0.252355, 0.044571, -0.389757, -0.353777, -0.467983, 0.381572, 0.000000, 0.000000, 0.000000], [0.047440, 0.384003, 0.219247, 0.743075, 0.271117, -0.342063, 0.244026, 0.000000, 0.000000, 0.000000], [0.371181, 0.001793, -0.427503, -0.204043, 0.794781, 0.020232, 0.075783, 0.000000, 0.000000, 0.000000]]
fourier: [[34.996341, 36.027097, 41.850065, 42.202492, 315.264521], [40.748304, 40.773696, 46.280110, 51.140849, 140.035221], [30.430894, 31.006238, 35.695377, 36.466687, 210.781574], [27.076248, 27.102685, 31.772714, 37.770036, 100.907026], [40.360367, 41.306367, 43.202697, 43.583845, 333.884900], [18.840805, 20.244708, 22.315523, 28.349173, 73.889268], [27.397542, 33.193564, 35.888425, 39.328688, 224.342185]]
### 2
mean: [-2.156791, -1.520752, -1.877530, 1.163562, -1.411003, -0.157086, -0.067814]
std: [3.326043, 1.911938, 2.527955, 2.132728, 2.121499, 0.999823, 1.705588]
pca: [[0.626666, 0.103563, 0.126543, 0.036410, -0.307024, 0.680078, -0.149855, 0.000000, 0.000000, 0.000000], [0.353167, -0.011634, -0.525367, 0.379993, 0.522731, 0.081864, 0.418070, 0.000000, 0.000000, 0.000000], [0.476784, -0.001678, 0.027862, 0.276833, 0.083655, -0.556833, -0.614980, 0.000000, 0.000000, 0.000000], [-0.245603, 0.720807, -0.242752, 0.462256, -0.381949, -0.038244, -0.012621, 0.000000, 0.000000, 0.000000], [0.398159, 0.071015, 0.273905, -0.083719, -0.373397, -0.451468, 0.641205, 0.000000, 0.000000, 0.000000], [-0.151844, -0.068982, 0.706222, 0.618185, 0.250554, 0.124227, 0.114338, 0.000000, 0.000000, 0.000000], [0.115464, 0.678065, 0.272943, -0.418092, 0.526690, -0.003268, -0.013567, 0.000000, 0.000000, 0.000000]]
fourier: [[59.032396, 63.396389, 64.491927, 69.193089, 194.111213], [31.944572, 32.658717, 35.394683, 40.087800, 136.867651], [45.141539, 48.077896, 48.277771, 52.939862, 168.977674], [32.503389, 35.952655, 39.073116, 42.640263, 104.720562], [36.782757, 41.841797, 42.093666, 43.667478, 126.990266], [15.349322, 15.717379, 16.784224, 18.161377, 18.769826], [25.159329, 26.377992, 31.252032, 31.977564, 33.749110]]
### 4
mean: [-0.821157, 0.819120, -0.183458, -0.154665, 0.489438, 0.189655, -0.876232]
std: [0.767022, 0.984172, 0.512089, 0.458015, 1.029314, 0.910576, 2.233274]
pca: [[0.183290, -0.436325, -0.012643, 0.106316, 0.566725, 0.174326, 0.642647, 0.000000, 0.000000, 0.000000], [0.082017, 0.678674, -0.029593, 0.245396, 0.383110, 0.562094, -0.094110, 0.000000, 0.000000, 0.000000], [0.130981, -0.221671, 0.187031, -0.570040, 0.509011, 0.067068, -0.556946, 0.000000, 0.000000, 0.000000], [0.022866, -0.266598, 0.033234, 0.763747, 0.249408, -0.260552, -0.462490, 0.000000, 0.000000, 0.000000], [-0.274914, 0.073714, 0.945218, 0.076885, -0.004430, -0.006243, 0.139933, 0.000000, 0.000000, 0.000000], [-0.250374, -0.470707, -0.013615, 0.096838, -0.325342, 0.753168, -0.181865, 0.000000, 0.000000, 0.000000], [0.896512, -0.042549, 0.263167, 0.070238, -0.323861, 0.118211, -0.037492, 0.000000, 0.000000, 0.000000]]
fourier: [[11.954174, 12.744697, 13.394424, 15.685311, 73.904119], [14.657708, 14.961559, 15.659497, 20.127762, 73.720813], [8.417756, 8.896301, 9.184172, 9.830901, 16.511196], [7.349757, 7.864083, 8.055984, 8.135994, 13.919851], [15.688464, 16.410807, 16.459345, 21.591793, 44.049406], [12.477456, 12.482718, 13.947794, 17.068962, 17.222891], [34.726385, 38.039430, 41.728426, 47.355415, 78.860854]]
### 6
mean: [0.256113, -0.000754, -0.161216, 0.456700, 0.560228, -0.666821, 0.404566]
std: [0.478139, 0.359352, 0.343283, 0.785476, 1.704243, 0.491979, 1.147652]
pca: [[-0.205653, -0.162330, 0.098406, -0.113013, 0.805969, -0.377152, -0.342156, 0.000000, 0.000000, 0.000000], [0.105286, 0.427938, 0.436689, -0.528893, 0.245993, 0.522951, 0.036990, 0.000000, 0.000000, 0.000000], [-0.113443, -0.350160, 0.388147, 0.529864, 0.019307, 0.538760, -0.377452, 0.000000, 0.000000, 0.000000], [-0.342857, -0.151896, 0.140485, 0.212785, 0.293592, 0.093961, 0.836264, 0.000000, 0.000000, 0.000000], [0.745200, -0.257245, -0.373839, 0.079140, 0.378078, 0.265014, 0.138951, 0.000000, 0.000000, 0.000000], [-0.127298, 0.725097, -0.344576, 0.505777, 0.245231, 0.122626, -0.091167, 0.000000, 0.000000, 0.000000], [0.494645, 0.229985, 0.608882, 0.345534, -0.015821, -0.447122, 0.110157, 0.000000, 0.000000, 0.000000]]
fourier: [[6.165214, 6.800924, 8.272414, 8.431866, 23.050135], [5.268870, 5.520216, 6.106530, 6.167645, 7.678716], [5.333530, 5.469075, 6.013390, 6.159592, 14.509481], [9.862277, 10.542065, 13.606244, 14.984449, 41.102964], [21.789580, 22.033511, 26.655853, 34.567365, 50.420548], [7.385506, 8.254815, 8.765363, 9.609238, 60.013891], [16.204947, 16.749446, 20.586985, 22.178985, 36.410975]]
### 8
mean: [0.521944, 0.419514, 0.364446, 0.802126, -0.104771, -0.307568, 0.825908]
std: [1.329773, 0.737547, 1.512045, 1.844013, 0.205732, 0.094088, 0.551078]
pca: [[0.460447, -0.377702, -0.447121, -0.162650, 0.041900, 0.628731, 0.147986, 0.000000, 0.000000, 0.000000], [-0.254844, -0.350946, -0.086258, -0.529931, 0.357781, -0.366743, 0.510995, 0.000000, 0.000000, 0.000000], [0.524457, 0.066215, 0.398428, -0.326079, 0.535778, -0.086602, -0.401162, 0.000000, 0.000000, 0.000000], [0.639791, 0.166135, -0.239562, 0.047247, -0.331891, -0.567559, 0.266776, 0.000000, 0.000000, 0.000000], [0.061544, 0.550125, 0.015212, 0.316756, 0.497450, 0.216372, 0.546568, 0.000000, 0.000000, 0.000000], [0.008630, -0.428365, -0.302426, 0.628186, 0.444480, -0.295719, -0.212927, 0.000000, 0.000000, 0.000000], [0.186530, -0.464822, 0.696287, 0.298676, -0.167355, 0.079419, 0.375246, 0.000000, 0.000000, 0.000000]]
fourier: [[16.389760, 16.797086, 21.390574, 26.329150, 46.974957], [9.252429, 9.557410, 11.287128, 14.619829, 37.756288], [18.509429, 18.854720, 23.312176, 30.410150, 32.800176], [22.506323, 23.034126, 29.228576, 36.636263, 72.191315], [2.853095, 2.874026, 3.173083, 3.704130, 9.429372], [1.391439, 1.444868, 1.525981, 1.793511, 27.681106], [7.362773, 7.646521, 7.850595, 11.246220, 74.331706]]
### 10
mean: [1.112382, -0.109682, 0.428511, 0.858186, -0.459376, -1.043327, 0.131546]
std: [2.417373, 0.672058, 1.885292, 2.199001, 0.194745, 0.137782, 1.306417]
pca: [[0.596361, -0.041184, -0.527438, 0.165404, -0.471410, -0.212550, -0.264013, 0.000000, 0.000000, 0.000000], [0.164665, 0.628124, 0.142212, -0.087036, 0.408464, -0.414686, -0.460151, 0.000000, 0.000000, 0.000000], [0.464927, -0.341844, 0.603168, -0.006926, -0.014213, -0.465218, 0.294100, 0.000000, 0.000000, 0.000000], [0.542523, 0.053070, 0.221779, -0.373379, 0.075328, 0.696154, -0.154755, 0.000000, 0.000000, 0.000000], [0.043008, 0.692031, 0.139607, 0.045321, -0.467629, 0.060804, 0.524715, 0.000000, 0.000000, 0.000000], [-0.032512, 0.021005, 0.410295, 0.787835, -0.139703, 0.251576, -0.355905, 0.000000, 0.000000, 0.000000], [0.322248, 0.068865, -0.317420, 0.450409, 0.605690, 0.121701, 0.454004, 0.000000, 0.000000, 0.000000]]
fourier: [[30.330073, 31.648744, 37.966488, 48.641293, 100.114351], [8.443953, 8.620204, 9.871378, 10.723833, 13.273225], [23.628419, 25.461668, 30.161028, 37.662380, 38.565983], [27.462020, 29.046739, 35.001909, 43.830376, 77.236695], [2.751257, 2.852973, 2.899497, 3.613974, 41.343874], [1.918296, 2.062073, 2.129086, 2.427230, 93.899462], [15.643634, 16.286673, 17.104716, 20.413075, 26.340262]]
### 12
mean: [1.659605]
std: [4.448125]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[56.241063, 63.480311, 71.402226, 89.562411, 149.364474]]
## 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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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7106871604919434, "train_acc": 0.465, "val_loss": 0.7060023546218872, "val_acc": 0.32}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6941835880279541, "train_acc": 0.485, "val_loss": 0.6692248582839966, "val_acc": 0.68}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6976559460163116, "train_acc": 0.465, "val_loss": 0.7168189883232117, "val_acc": 0.32}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6615943014621735, "train_acc": 0.545, "val_loss": 0.6765502691268921, "val_acc": 0.32}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5593880414962769, "train_acc": 0.545, "val_loss": 0.6168333888053894, "val_acc": 0.66}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.46038202941417694, "train_acc": 0.79, "val_loss": 0.5803272724151611, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.47463153302669525, "train_acc": 0.82, "val_loss": 0.4693676829338074, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4081905037164688, "train_acc": 0.885, "val_loss": 0.37980639934539795, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3264356851577759, "train_acc": 0.895, "val_loss": 0.36273303627967834, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3062783479690552, "train_acc": 0.885, "val_loss": 0.28191444277763367, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.3201426565647125, "train_acc": 0.895, "val_loss": 0.24814653396606445, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.2550895884633064, "train_acc": 0.925, "val_loss": 0.2696158289909363, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7060023546218872, "final_val_loss": 0.6692248582839966, "initial_val_acc": 0.32, "final_val_acc": 0.68, "best_val_acc": 0.68}, "improved_stage": {"initial_val_loss": 0.7168189883232117, "final_val_loss": 0.2696158289909363, "initial_val_acc": 0.32, "final_val_acc": 0.94, "best_val_acc": 0.96, "best_epoch": 9}, "improvement": 0.2799999999999999, "first_improvement_epoch": 1}}
|
9,611
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.5, "improved_accuracy": 0.86, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8365, "learning_rate": 0.0726135297882935, "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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.070059
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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.6.weight": [
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"network.10.bias": [
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}
## Activation Signature
### 0
mean: [2.209327, -0.787458, -0.334486, 2.678750, 1.323213]
std: [2.356994, 1.636551, 1.513463, 1.908717, 1.485422]
pca: [[0.559543, 0.770030, 0.100524, -0.002590, -0.289575, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.384735, 0.330641, 0.748890, -0.155156, 0.397173, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.399584, 0.162660, 0.068312, 0.839430, -0.323365, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.551003, -0.191387, 0.154523, 0.519764, 0.604760, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.274989, -0.484399, 0.632863, -0.033505, -0.536750, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.638178, 41.726705, 45.524702, 45.975631, 198.839438], [28.536783, 29.131284, 29.487438, 34.317209, 70.871215], [22.874364, 23.161889, 23.477812, 30.103739, 30.323796], [30.317028, 34.265949, 35.545586, 39.184906, 241.087501], [21.074559, 21.912749, 25.861276, 27.444651, 119.089167]]
### 2
mean: [-0.637536, -0.838932, 4.090567, -2.979575, -3.782740]
std: [0.898551, 0.792093, 3.313372, 1.854077, 2.528742]
pca: [[-0.171659, 0.708044, 0.310632, 0.462961, -0.397973, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.162619, 0.345531, 0.376534, -0.123669, 0.834920, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.708478, -0.173354, 0.154029, 0.624575, 0.232782, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.388461, -0.573034, 0.692429, 0.158293, -0.127338, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.539671, -0.144436, -0.508475, 0.596005, 0.272257, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.944099, 14.430081, 16.951859, 21.283148, 57.378203], [11.747217, 12.739274, 14.542252, 16.897978, 75.503893], [55.210206, 57.142761, 61.129431, 61.436495, 368.151037], [29.718492, 32.372863, 32.413106, 36.161280, 268.161729], [41.730011, 43.159528, 45.869526, 48.459744, 340.446576]]
### 4
mean: [-0.995844, 1.842551, 3.171472, -1.043867, 1.262919]
std: [1.165128, 1.190643, 2.586173, 1.326737, 0.873957]
pca: [[-0.335778, 0.565277, 0.641446, -0.138414, 0.370274, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.343799, -0.400442, 0.024937, -0.097729, 0.843372, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.747352, 0.577140, -0.052225, 0.324920, 0.008571, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.383630, -0.012899, -0.148490, 0.874684, 0.256009, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.251689, -0.432263, 0.750432, 0.317248, -0.293270, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.203520, 20.626978, 21.115156, 22.248626, 89.625930], [19.460096, 21.512223, 21.628652, 22.410336, 165.829619], [41.754974, 46.593203, 47.021910, 48.534109, 285.432421], [21.521894, 24.047224, 24.335350, 24.666096, 93.948080], [14.203269, 15.643311, 16.057789, 16.437683, 113.662693]]
### 6
mean: [2.892939, -0.761768, -0.932721, -0.839664, 3.114542]
std: [2.066453, 0.584411, 0.246903, 0.268660, 2.255157]
pca: [[0.661092, 0.017366, 0.030141, 0.310549, 0.682134, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.186751, -0.057191, 0.969943, -0.011221, 0.144697, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.058711, 0.678116, 0.077010, 0.676051, -0.271545, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.064640, 0.727019, -0.024297, -0.603558, 0.319987, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.721427, 0.089609, 0.227554, -0.286542, -0.581057, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.572537, 37.538331, 38.120383, 39.117563, 260.364491], [9.343049, 10.657388, 10.831054, 10.876786, 68.559102], [4.036387, 4.212138, 4.226238, 4.559445, 83.944869], [4.330725, 4.563000, 4.621718, 4.952469, 75.569731], [35.552220, 40.921711, 41.627713, 42.701114, 280.308759]]
### 8
mean: [1.184814, 2.495448, 4.492687, 2.203659, -1.991639]
std: [0.994340, 1.864277, 2.935379, 1.650508, 1.317258]
pca: [[0.236925, 0.888828, -0.372090, 0.124095, 0.000944, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.445189, 0.237339, 0.698736, -0.453058, -0.227998, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.700974, -0.343925, -0.488177, -0.340172, 0.190572, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.394159, -0.044956, 0.360260, 0.645528, 0.544174, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.314559, 0.182619, 0.072205, -0.496907, 0.784585, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.445076, 17.918155, 18.443890, 19.832215, 106.633235], [31.387124, 32.429712, 34.851213, 37.012443, 224.590288], [49.859303, 50.334853, 54.778394, 58.297528, 404.341862], [27.883958, 28.490888, 30.860018, 32.777073, 198.329261], [22.360248, 22.577999, 24.598965, 26.158994, 179.247561]]
### 10
mean: [-3.230371]
std: [2.626031]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.910506, 45.812725, 48.893071, 52.397125, 290.733382]]
## 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.125688,
0.455214,
-0.201043,
0.070059
],
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0.46499,
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[
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0.136394,
0.098538,
0.437784
],
[
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0.179634,
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],
[
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## Activation Signature
### 0
mean: [2.209327, -0.787458, -0.334486, 2.678750, 1.323213]
std: [2.356994, 1.636551, 1.513463, 1.908717, 1.485422]
pca: [[0.559543, 0.770030, 0.100524, -0.002590, -0.289575, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.384735, 0.330641, 0.748890, -0.155156, 0.397173, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.399584, 0.162660, 0.068312, 0.839430, -0.323365, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.551003, -0.191387, 0.154523, 0.519764, 0.604760, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.274989, -0.484399, 0.632863, -0.033505, -0.536750, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.638178, 41.726705, 45.524702, 45.975631, 198.839438], [28.536783, 29.131284, 29.487438, 34.317209, 70.871215], [22.874364, 23.161889, 23.477812, 30.103739, 30.323796], [30.317028, 34.265949, 35.545586, 39.184906, 241.087501], [21.074559, 21.912749, 25.861276, 27.444651, 119.089167]]
### 2
mean: [-0.637536, -0.838932, 4.090567, -2.979575, -3.782740]
std: [0.898551, 0.792093, 3.313372, 1.854077, 2.528742]
pca: [[-0.171659, 0.708044, 0.310632, 0.462961, -0.397973, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.162619, 0.345531, 0.376534, -0.123669, 0.834920, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.708478, -0.173354, 0.154029, 0.624575, 0.232782, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.388461, -0.573034, 0.692429, 0.158293, -0.127338, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.539671, -0.144436, -0.508475, 0.596005, 0.272257, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.944099, 14.430081, 16.951859, 21.283148, 57.378203], [11.747217, 12.739274, 14.542252, 16.897978, 75.503893], [55.210206, 57.142761, 61.129431, 61.436495, 368.151037], [29.718492, 32.372863, 32.413106, 36.161280, 268.161729], [41.730011, 43.159528, 45.869526, 48.459744, 340.446576]]
### 4
mean: [-0.995844, 1.842551, 3.171472, -1.043867, 1.262919]
std: [1.165128, 1.190643, 2.586173, 1.326737, 0.873957]
pca: [[-0.335778, 0.565277, 0.641446, -0.138414, 0.370274, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.343799, -0.400442, 0.024937, -0.097729, 0.843372, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.747352, 0.577140, -0.052225, 0.324920, 0.008571, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.383630, -0.012899, -0.148490, 0.874684, 0.256009, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.251689, -0.432263, 0.750432, 0.317248, -0.293270, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.203520, 20.626978, 21.115156, 22.248626, 89.625930], [19.460096, 21.512223, 21.628652, 22.410336, 165.829619], [41.754974, 46.593203, 47.021910, 48.534109, 285.432421], [21.521894, 24.047224, 24.335350, 24.666096, 93.948080], [14.203269, 15.643311, 16.057789, 16.437683, 113.662693]]
### 6
mean: [2.892939, -0.761768, -0.932721, -0.839664, 3.114542]
std: [2.066453, 0.584411, 0.246903, 0.268660, 2.255157]
pca: [[0.661092, 0.017366, 0.030141, 0.310549, 0.682134, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.186751, -0.057191, 0.969943, -0.011221, 0.144697, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.058711, 0.678116, 0.077010, 0.676051, -0.271545, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.064640, 0.727019, -0.024297, -0.603558, 0.319987, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.721427, 0.089609, 0.227554, -0.286542, -0.581057, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.572537, 37.538331, 38.120383, 39.117563, 260.364491], [9.343049, 10.657388, 10.831054, 10.876786, 68.559102], [4.036387, 4.212138, 4.226238, 4.559445, 83.944869], [4.330725, 4.563000, 4.621718, 4.952469, 75.569731], [35.552220, 40.921711, 41.627713, 42.701114, 280.308759]]
### 8
mean: [1.184814, 2.495448, 4.492687, 2.203659, -1.991639]
std: [0.994340, 1.864277, 2.935379, 1.650508, 1.317258]
pca: [[0.236925, 0.888828, -0.372090, 0.124095, 0.000944, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.445189, 0.237339, 0.698736, -0.453058, -0.227998, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.700974, -0.343925, -0.488177, -0.340172, 0.190572, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.394159, -0.044956, 0.360260, 0.645528, 0.544174, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.314559, 0.182619, 0.072205, -0.496907, 0.784585, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.445076, 17.918155, 18.443890, 19.832215, 106.633235], [31.387124, 32.429712, 34.851213, 37.012443, 224.590288], [49.859303, 50.334853, 54.778394, 58.297528, 404.341862], [27.883958, 28.490888, 30.860018, 32.777073, 198.329261], [22.360248, 22.577999, 24.598965, 26.158994, 179.247561]]
### 10
mean: [-3.230371]
std: [2.626031]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.910506, 45.812725, 48.893071, 52.397125, 290.733382]]
## 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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30.860017873939757, 32.77707307745224, 198.32926070690155]}, "4": {"mean": -1.991639494895935, "std": 1.3172578811645508, "pca": [-0.31455934047698975, 0.18261872231960297, 0.07220496982336044, -0.4969066083431244, 0.784584641456604, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [22.360248091959825, 22.577998645692706, 24.59896523297939, 26.15899423467769, 179.24756076186895]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -3.2303709983825684, "std": 2.626030921936035, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [43.91050554375134, 45.812725139311425, 48.89307079676457, 52.39712474637926, 290.7333819270134]}}, "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": [[0.864014, 0.125688, 0.455214, -0.201043, 0.070059], [-0.416876, -0.574035, 0.46499, -0.166961, -0.027535], [-0.442103, -0.448909, 0.136394, 0.098538, 0.437784], [0.305828, 0.734003, 0.179634, 0.173514, -0.196093], [0.165958, 0.186797, 0.114332, 0.457244, -0.598182]], "network.0.bias": [0.298906, 0.198027, -0.002457, 0.455168, 0.2947], "network.2.weight": [[-0.276858, -0.31892, 0.550979, 0.030054, -0.199954], [-0.223791, -0.093935, 0.37446, -0.012411, -0.23328], [0.665734, 0.475388, -0.482224, 0.674403, 0.760005], [-0.177933, 0.028228, 0.344855, -0.58496, -0.339177], [-0.411636, -0.365428, 0.228815, -0.748426, -0.34382]], "network.2.bias": [0.059778, -0.088232, -0.124809, -0.692602, -0.450644], "network.4.weight": [[0.604505, 0.418823, -0.322352, 0.228975, 0.343841], [-0.636829, -0.302595, 0.323193, 0.079937, 0.060265], [-0.609245, -0.823174, 0.734896, 0.459982, 0.304179], [0.604051, 0.152494, -0.366886, -0.039816, -0.424996], [-0.526789, -0.285999, 0.224539, 0.209452, 0.518942]], "network.4.bias": [0.370714, 0.508448, 0.144129, 0.447649, 0.355347], "network.6.weight": [[-0.586557, 0.457865, 0.490908, -0.456343, 0.136474], [0.561417, 0.292343, -0.258909, -0.156215, -0.262098], [-0.081613, -0.440784, 0.238855, -0.553972, -0.44552], [-0.130732, -0.475399, 0.298643, -0.568501, -0.606832], [-0.599978, 0.274813, 0.554852, -0.620188, 0.385716]], "network.6.bias": [0.369082, -0.14664, -0.3423, -0.184237, 0.426346], "network.8.weight": [[0.003068, 0.554015, 0.283838, 0.253628, 0.461537], [0.025281, -0.045125, 0.796106, 0.834132, 0.824647], [0.737427, -0.382285, 0.258927, 0.259391, 0.660636], [0.027758, -0.18192, 0.472983, 0.500393, 0.725281], [-0.24297, 0.198165, -0.07238, -0.217149, -0.376946]], "network.8.bias": [-0.137779, 0.076279, 0.308708, -0.026308, -0.123104], "network.10.weight": [[-0.35373, -0.271975, -0.492935, -0.188277, 0.086225]], "network.10.bias": [0.45694]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.714243620634079, "train_acc": 0.425, "val_loss": 0.6961546540260315, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.663093090057373, "train_acc": 0.575, "val_loss": 0.6268532276153564, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5818887650966644, "train_acc": 0.605, "val_loss": 0.42485252022743225, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5787083506584167, "train_acc": 0.815, "val_loss": 0.37887823581695557, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4092036336660385, "train_acc": 0.85, "val_loss": 0.4403561055660248, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.43926286697387695, "train_acc": 0.815, "val_loss": 0.43832114338874817, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.40545497834682465, "train_acc": 0.82, "val_loss": 0.40932708978652954, "val_acc": 0.82}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6961546540260315, "final_val_loss": 0.6268532276153564, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.42485252022743225, "final_val_loss": 0.40932708978652954, "initial_val_acc": 0.84, "final_val_acc": 0.82, "best_val_acc": 0.86, "best_epoch": 3}, "improvement": 0.36, "first_improvement_epoch": 1}}
|
9,612
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.44, "improved_accuracy": 0.94, "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": 3710, "learning_rate": 0.04248705062836836, "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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[
0.668844,
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0.531992,
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],
[
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0.126986,
-0.02827
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[
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0.264845,
0.564548
],
[
0.251503,
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0.479179,
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],
[
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-0.205763,
0.06666
],
[
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]
],
"network.0.bias": [
-0.099002,
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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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[
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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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],
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"network.10.weight": [
[
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"network.10.bias": [
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}
## Activation Signature
### 0
mean: [3.066548, 3.527592, -1.256765, -0.103849, -2.011383, -2.912944]
std: [2.886958, 2.819752, 2.508938, 1.101869, 1.413324, 2.154374]
pca: [[0.571683, 0.068615, 0.541304, 0.051236, 0.177716, 0.584168, 0.000000, 0.000000, 0.000000, 0.000000], [0.572443, 0.002874, -0.188223, -0.099618, 0.569094, -0.550528, 0.000000, 0.000000, 0.000000, 0.000000], [-0.441044, 0.697773, 0.248449, -0.156377, 0.481904, -0.013449, 0.000000, 0.000000, 0.000000, 0.000000], [0.020388, 0.124258, 0.496105, 0.673866, -0.212005, -0.488858, 0.000000, 0.000000, 0.000000, 0.000000], [-0.195568, -0.196780, -0.335708, 0.675269, 0.506855, 0.312155, 0.000000, 0.000000, 0.000000, 0.000000], [-0.335119, -0.673968, 0.501014, -0.230030, 0.332370, -0.138070, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[47.358307, 51.401487, 52.213355, 60.831355, 275.989278], [43.450199, 43.569211, 52.723160, 52.976401, 317.483288], [37.303645, 41.297763, 43.006054, 47.860705, 113.108813], [16.588319, 18.514320, 18.989106, 19.108289, 19.258805], [23.945901, 23.994914, 24.512384, 24.829475, 181.024445], [32.092576, 33.188413, 40.233287, 46.041268, 262.164951]]
### 2
mean: [5.402321, 3.617499, -0.164027, -0.468460, -3.151035, -2.344920]
std: [4.548227, 2.906159, 0.740981, 1.023198, 2.389680, 1.221885]
pca: [[0.745520, 0.060564, 0.439128, 0.133651, -0.232908, 0.419035, 0.000000, 0.000000, 0.000000, 0.000000], [0.476344, 0.118074, -0.136118, 0.231831, 0.731757, -0.389118, 0.000000, 0.000000, 0.000000, 0.000000], [-0.096830, 0.570734, -0.035261, -0.503583, 0.392832, 0.505698, 0.000000, 0.000000, 0.000000, 0.000000], [-0.143216, 0.668376, -0.214303, 0.653914, -0.239926, 0.040857, 0.000000, 0.000000, 0.000000, 0.000000], [-0.388235, 0.093540, 0.845231, 0.201163, 0.264191, -0.125876, 0.000000, 0.000000, 0.000000, 0.000000], [-0.191529, -0.448528, -0.164480, 0.454672, 0.358619, 0.632260, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[73.755889, 74.891469, 83.351811, 93.114821, 486.208929], [45.735991, 46.534921, 53.815027, 58.642454, 325.574901], [11.134773, 12.941989, 13.614300, 14.384406, 14.762399], [15.299911, 16.137550, 17.040839, 19.203210, 42.161404], [37.256092, 38.789304, 43.898085, 46.712218, 283.593152], [19.132270, 19.235292, 23.905375, 24.296973, 211.042779]]
### 4
mean: [-2.891919, 4.145427, 4.120873, -1.646580, 6.174212, -1.606049]
std: [2.039573, 3.638346, 3.244687, 0.953690, 4.951320, 0.889648]
pca: [[-0.273210, 0.861939, -0.309997, -0.031799, -0.279329, -0.085346, 0.000000, 0.000000, 0.000000, 0.000000], [0.495196, -0.135982, -0.651790, -0.506594, -0.053267, -0.228000, 0.000000, 0.000000, 0.000000, 0.000000], [0.441243, 0.332871, 0.678698, -0.423737, -0.039203, -0.229742, 0.000000, 0.000000, 0.000000, 0.000000], [-0.129514, 0.152741, -0.032607, -0.491095, 0.475972, 0.700791, 0.000000, 0.000000, 0.000000, 0.000000], [0.673851, 0.287312, -0.110321, 0.559296, 0.188201, 0.320896, 0.000000, 0.000000, 0.000000, 0.000000], [-0.120801, 0.147951, -0.072150, 0.093872, 0.809711, -0.542096, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.316983, 33.460628, 39.325471, 40.213447, 260.272676], [57.836877, 58.872291, 65.733911, 74.268949, 373.088469], [52.233674, 53.016784, 56.740295, 66.760466, 370.878568], [15.412807, 15.639175, 17.621950, 19.462270, 148.192219], [79.407591, 80.723220, 87.629661, 101.995647, 555.679117], [14.329961, 14.430162, 16.432253, 17.994578, 144.544377]]
### 6
mean: [9.282447, -4.382298, 9.349898, -1.972853, 11.335018, -0.697617]
std: [7.506667, 3.203692, 7.663998, 1.427400, 9.027579, 0.178190]
pca: [[0.519369, -0.100250, 0.834340, -0.137178, 0.002598, -0.072510, 0.000000, 0.000000, 0.000000, 0.000000], [-0.221527, 0.865813, 0.281077, 0.316425, -0.009879, -0.148548, 0.000000, 0.000000, 0.000000, 0.000000], [0.530254, 0.141385, -0.179070, 0.457952, -0.056250, 0.673714, 0.000000, 0.000000, 0.000000, 0.000000], [-0.098700, -0.390629, 0.106113, 0.731052, -0.416808, -0.343863, 0.000000, 0.000000, 0.000000, 0.000000], [0.624596, 0.205553, -0.424600, -0.039750, -0.005984, -0.621069, 0.000000, 0.000000, 0.000000, 0.000000], [-0.012249, -0.159638, 0.035522, 0.367859, 0.907175, -0.121723, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[120.765450, 121.946405, 134.743517, 152.082938, 835.420258], [51.816981, 52.395839, 56.734452, 65.027899, 394.406796], [123.206400, 124.386064, 137.809133, 155.178169, 841.490789], [22.800003, 22.988529, 26.003425, 28.791564, 177.556747], [145.111457, 146.497278, 162.367563, 182.777613, 1020.151678], [2.807745, 2.816231, 3.338395, 3.552368, 62.785539]]
### 8
mean: [-1.750432, -1.405511, -4.161487, -0.594216, 11.909763, -4.157443]
std: [1.190840, 0.906478, 3.266906, 0.165681, 9.756967, 3.059476]
pca: [[-0.109857, 0.372013, 0.415455, -0.410035, 0.705404, 0.105886, 0.000000, 0.000000, 0.000000, 0.000000], [-0.083618, -0.456593, 0.772627, 0.350533, 0.014603, -0.253952, 0.000000, 0.000000, 0.000000, 0.000000], [-0.301384, -0.280543, -0.164978, 0.427164, 0.339776, 0.710865, 0.000000, 0.000000, 0.000000, 0.000000], [-0.015265, 0.364362, 0.445071, -0.075628, -0.585576, 0.565951, 0.000000, 0.000000, 0.000000, 0.000000], [0.900117, 0.120187, 0.066072, 0.326130, 0.204866, 0.150492, 0.000000, 0.000000, 0.000000, 0.000000], [-0.282246, 0.653622, -0.027798, 0.643776, 0.043311, -0.275715, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.120358, 19.292970, 21.414825, 24.143518, 157.538842], [14.597679, 14.742384, 16.195345, 18.412104, 126.495953], [52.552418, 53.075965, 58.808337, 66.039188, 374.533842], [2.645382, 2.666993, 2.953807, 3.410342, 53.479451], [156.903869, 158.444015, 175.634974, 197.308190, 1071.878696], [49.155439, 49.621133, 55.122747, 61.887571, 374.169870]]
### 10
mean: [-4.763274]
std: [4.207889]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[67.671292, 68.340417, 75.791614, 85.046168, 428.694656]]
## 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:
{
"network.0.weight": [
[
0.668844,
0.86224,
0.089346,
0.531992,
-0.458469
],
[
0.778269,
0.940371,
0.084947,
0.126986,
-0.02827
],
[
-0.730515,
-0.621173,
-0.316637,
0.264845,
0.564548
],
[
0.251503,
-0.359472,
-0.067815,
0.479179,
-0.39072
],
[
0.226037,
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-0.205763,
0.06666
],
[
-0.581649,
-0.073389,
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-0.4431,
-0.347915
]
],
"network.0.bias": [
-0.099002,
0.43062,
0.181435,
-0.16582,
-0.231511,
0.145704
],
"network.2.weight": [
[
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[
0.35678,
0.666677,
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0.333102,
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0.102748
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[
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0.040916,
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[
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[
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0.045096,
0.507848
],
[
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-0.009594,
0.159641
]
],
"network.2.bias": [
0.04917,
0.084506,
0.07722,
0.216133,
-0.211291,
-0.621369
],
"network.4.weight": [
[
-0.297939,
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-0.201647,
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],
[
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0.020688,
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],
[
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0.056814
],
[
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],
[
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],
[
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],
"network.4.bias": [
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0.59275,
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],
"network.6.weight": [
[
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0.461174,
0.047496,
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[
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[
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0.194441
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[
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[
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1.027149,
0.041211
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[
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0.040117,
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0.027627,
0.176786
]
],
"network.6.bias": [
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0.114276,
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],
"network.8.weight": [
[
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0.310891
],
[
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],
[
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0.099564,
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[
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],
[
0.368301,
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],
[
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-0.309687
]
],
"network.8.bias": [
-0.218118,
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],
"network.10.weight": [
[
-0.078221,
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0.234842,
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]
],
"network.10.bias": [
0.37489
]
}
## Activation Signature
### 0
mean: [3.066548, 3.527592, -1.256765, -0.103849, -2.011383, -2.912944]
std: [2.886958, 2.819752, 2.508938, 1.101869, 1.413324, 2.154374]
pca: [[0.571683, 0.068615, 0.541304, 0.051236, 0.177716, 0.584168, 0.000000, 0.000000, 0.000000, 0.000000], [0.572443, 0.002874, -0.188223, -0.099618, 0.569094, -0.550528, 0.000000, 0.000000, 0.000000, 0.000000], [-0.441044, 0.697773, 0.248449, -0.156377, 0.481904, -0.013449, 0.000000, 0.000000, 0.000000, 0.000000], [0.020388, 0.124258, 0.496105, 0.673866, -0.212005, -0.488858, 0.000000, 0.000000, 0.000000, 0.000000], [-0.195568, -0.196780, -0.335708, 0.675269, 0.506855, 0.312155, 0.000000, 0.000000, 0.000000, 0.000000], [-0.335119, -0.673968, 0.501014, -0.230030, 0.332370, -0.138070, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[47.358307, 51.401487, 52.213355, 60.831355, 275.989278], [43.450199, 43.569211, 52.723160, 52.976401, 317.483288], [37.303645, 41.297763, 43.006054, 47.860705, 113.108813], [16.588319, 18.514320, 18.989106, 19.108289, 19.258805], [23.945901, 23.994914, 24.512384, 24.829475, 181.024445], [32.092576, 33.188413, 40.233287, 46.041268, 262.164951]]
### 2
mean: [5.402321, 3.617499, -0.164027, -0.468460, -3.151035, -2.344920]
std: [4.548227, 2.906159, 0.740981, 1.023198, 2.389680, 1.221885]
pca: [[0.745520, 0.060564, 0.439128, 0.133651, -0.232908, 0.419035, 0.000000, 0.000000, 0.000000, 0.000000], [0.476344, 0.118074, -0.136118, 0.231831, 0.731757, -0.389118, 0.000000, 0.000000, 0.000000, 0.000000], [-0.096830, 0.570734, -0.035261, -0.503583, 0.392832, 0.505698, 0.000000, 0.000000, 0.000000, 0.000000], [-0.143216, 0.668376, -0.214303, 0.653914, -0.239926, 0.040857, 0.000000, 0.000000, 0.000000, 0.000000], [-0.388235, 0.093540, 0.845231, 0.201163, 0.264191, -0.125876, 0.000000, 0.000000, 0.000000, 0.000000], [-0.191529, -0.448528, -0.164480, 0.454672, 0.358619, 0.632260, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[73.755889, 74.891469, 83.351811, 93.114821, 486.208929], [45.735991, 46.534921, 53.815027, 58.642454, 325.574901], [11.134773, 12.941989, 13.614300, 14.384406, 14.762399], [15.299911, 16.137550, 17.040839, 19.203210, 42.161404], [37.256092, 38.789304, 43.898085, 46.712218, 283.593152], [19.132270, 19.235292, 23.905375, 24.296973, 211.042779]]
### 4
mean: [-2.891919, 4.145427, 4.120873, -1.646580, 6.174212, -1.606049]
std: [2.039573, 3.638346, 3.244687, 0.953690, 4.951320, 0.889648]
pca: [[-0.273210, 0.861939, -0.309997, -0.031799, -0.279329, -0.085346, 0.000000, 0.000000, 0.000000, 0.000000], [0.495196, -0.135982, -0.651790, -0.506594, -0.053267, -0.228000, 0.000000, 0.000000, 0.000000, 0.000000], [0.441243, 0.332871, 0.678698, -0.423737, -0.039203, -0.229742, 0.000000, 0.000000, 0.000000, 0.000000], [-0.129514, 0.152741, -0.032607, -0.491095, 0.475972, 0.700791, 0.000000, 0.000000, 0.000000, 0.000000], [0.673851, 0.287312, -0.110321, 0.559296, 0.188201, 0.320896, 0.000000, 0.000000, 0.000000, 0.000000], [-0.120801, 0.147951, -0.072150, 0.093872, 0.809711, -0.542096, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.316983, 33.460628, 39.325471, 40.213447, 260.272676], [57.836877, 58.872291, 65.733911, 74.268949, 373.088469], [52.233674, 53.016784, 56.740295, 66.760466, 370.878568], [15.412807, 15.639175, 17.621950, 19.462270, 148.192219], [79.407591, 80.723220, 87.629661, 101.995647, 555.679117], [14.329961, 14.430162, 16.432253, 17.994578, 144.544377]]
### 6
mean: [9.282447, -4.382298, 9.349898, -1.972853, 11.335018, -0.697617]
std: [7.506667, 3.203692, 7.663998, 1.427400, 9.027579, 0.178190]
pca: [[0.519369, -0.100250, 0.834340, -0.137178, 0.002598, -0.072510, 0.000000, 0.000000, 0.000000, 0.000000], [-0.221527, 0.865813, 0.281077, 0.316425, -0.009879, -0.148548, 0.000000, 0.000000, 0.000000, 0.000000], [0.530254, 0.141385, -0.179070, 0.457952, -0.056250, 0.673714, 0.000000, 0.000000, 0.000000, 0.000000], [-0.098700, -0.390629, 0.106113, 0.731052, -0.416808, -0.343863, 0.000000, 0.000000, 0.000000, 0.000000], [0.624596, 0.205553, -0.424600, -0.039750, -0.005984, -0.621069, 0.000000, 0.000000, 0.000000, 0.000000], [-0.012249, -0.159638, 0.035522, 0.367859, 0.907175, -0.121723, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[120.765450, 121.946405, 134.743517, 152.082938, 835.420258], [51.816981, 52.395839, 56.734452, 65.027899, 394.406796], [123.206400, 124.386064, 137.809133, 155.178169, 841.490789], [22.800003, 22.988529, 26.003425, 28.791564, 177.556747], [145.111457, 146.497278, 162.367563, 182.777613, 1020.151678], [2.807745, 2.816231, 3.338395, 3.552368, 62.785539]]
### 8
mean: [-1.750432, -1.405511, -4.161487, -0.594216, 11.909763, -4.157443]
std: [1.190840, 0.906478, 3.266906, 0.165681, 9.756967, 3.059476]
pca: [[-0.109857, 0.372013, 0.415455, -0.410035, 0.705404, 0.105886, 0.000000, 0.000000, 0.000000, 0.000000], [-0.083618, -0.456593, 0.772627, 0.350533, 0.014603, -0.253952, 0.000000, 0.000000, 0.000000, 0.000000], [-0.301384, -0.280543, -0.164978, 0.427164, 0.339776, 0.710865, 0.000000, 0.000000, 0.000000, 0.000000], [-0.015265, 0.364362, 0.445071, -0.075628, -0.585576, 0.565951, 0.000000, 0.000000, 0.000000, 0.000000], [0.900117, 0.120187, 0.066072, 0.326130, 0.204866, 0.150492, 0.000000, 0.000000, 0.000000, 0.000000], [-0.282246, 0.653622, -0.027798, 0.643776, 0.043311, -0.275715, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.120358, 19.292970, 21.414825, 24.143518, 157.538842], [14.597679, 14.742384, 16.195345, 18.412104, 126.495953], [52.552418, 53.075965, 58.808337, 66.039188, 374.533842], [2.645382, 2.666993, 2.953807, 3.410342, 53.479451], [156.903869, 158.444015, 175.634974, 197.308190, 1071.878696], [49.155439, 49.621133, 55.122747, 61.887571, 374.169870]]
### 10
mean: [-4.763274]
std: [4.207889]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[67.671292, 68.340417, 75.791614, 85.046168, 428.694656]]
## 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": 3.0665476322174072, "std": 2.886958360671997, "pca": [0.5716832280158997, 0.06861509382724762, 0.5413041710853577, 0.05123606696724892, 0.17771556973457336, 0.5841678977012634, 0.0, 0.0, 0.0, 0.0], "fourier": [47.35830676247056, 51.40148714465423, 52.213354837935576, 60.83135496339962, 275.98927752673626]}, "1": {"mean": 3.527592182159424, "std": 2.819751501083374, "pca": [0.5724431276321411, 0.0028741515707224607, -0.18822266161441803, -0.09961791336536407, 0.5690944194793701, -0.5505276322364807, 0.0, 0.0, 0.0, 0.0], "fourier": [43.45019853306425, 43.56921125819302, 52.72315993310337, 52.97640100094871, 317.4832879602909]}, "2": {"mean": -1.256764531135559, "std": 2.5089380741119385, "pca": [-0.441043883562088, 0.697773277759552, 0.24844877421855927, -0.15637704730033875, 0.4819038510322571, -0.013448888435959816, 0.0, 0.0, 0.0, 0.0], "fourier": [37.303645099150934, 41.29776266294824, 43.0060542868213, 47.86070458222361, 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"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": [[0.668844, 0.86224, 0.089346, 0.531992, -0.458469], [0.778269, 0.940371, 0.084947, 0.126986, -0.02827], [-0.730515, -0.621173, -0.316637, 0.264845, 0.564548], [0.251503, -0.359472, -0.067815, 0.479179, -0.39072], [0.226037, -0.57731, -0.311238, -0.205763, 0.06666], [-0.581649, -0.073389, -0.393409, -0.4431, -0.347915]], "network.0.bias": [-0.099002, 0.43062, 0.181435, -0.16582, -0.231511, 0.145704], "network.2.weight": [[0.849489, 0.750706, -0.240155, 0.399967, 0.388666, 0.135242], [0.35678, 0.666677, -0.153828, 0.333102, -0.076349, 0.102748], [-0.20738, 0.053508, 0.546184, 0.040916, -0.509612, -0.123029], [-0.230327, -0.006388, 0.584624, -0.403874, -0.163774, -0.283042], [0.055842, -0.848809, 0.391807, -0.693797, 0.045096, 0.507848], [-0.151509, -0.298899, -0.332582, -0.205416, -0.009594, 0.159641]], "network.2.bias": [0.04917, 0.084506, 0.07722, 0.216133, -0.211291, -0.621369], "network.4.weight": [[-0.297939, -0.263651, -0.289028, -0.201647, -0.355315, -0.088676], [0.340256, 0.696548, 0.020688, -0.365567, -0.12629, -0.383102], [0.633061, 0.075365, -0.486229, -0.286863, 0.374922, 0.056814], [-0.181874, -0.045741, -0.03382, -0.005584, 0.142625, 0.071657], [0.771125, 0.438225, -0.620237, -0.254921, -0.361466, -0.110035], [-0.142617, -0.083928, -0.1688, 0.149861, -0.080274, 0.107222]], "network.4.bias": [-0.226973, -0.145598, 0.57147, -0.491436, 0.59275, -0.527174], "network.6.weight": [[0.308089, 0.202161, 0.461174, 0.047496, 1.077658, -0.025558], [-0.14429, 0.407566, -0.640295, -0.360953, -0.532399, 0.068019], [-0.137783, 0.45463, 0.525735, -0.195729, 0.881668, 0.194441], [0.034227, -0.366324, -0.014548, -0.401688, -0.011433, -0.164052], [0.395366, 0.564941, 0.603604, 0.502411, 1.027149, 0.041211], [-0.401692, -0.122267, 0.040117, -0.394371, 0.027627, 0.176786]], "network.6.bias": [-0.151732, -0.126423, -0.18703, -0.31678, 0.114276, -0.526053], "network.8.weight": [[0.164438, 0.054787, 0.05736, -0.217301, -0.31723, 0.310891], [-0.34072, 0.081075, 0.388585, 0.334108, -0.146915, 0.136965], [-0.254526, 0.069648, -0.294582, 0.143301, 0.099564, 0.118523], [0.181471, -0.075044, 0.15203, -0.298382, -0.298124, -0.157913], [0.368301, -0.1633, 0.762996, -0.185204, 0.127402, -0.173352], [0.292653, 0.041038, -0.350621, -0.167172, -0.284652, -0.309687]], "network.8.bias": [-0.218118, -0.211201, -0.171035, -0.322189, -0.091427, -0.368713], "network.10.weight": [[-0.078221, -0.078289, -0.142671, 0.234842, -0.431363, 0.198888]], "network.10.bias": [0.37489]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6997119188308716, "train_acc": 0.41, "val_loss": 0.697654128074646, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6827707588672638, "train_acc": 0.59, "val_loss": 0.7132982015609741, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6609494388103485, "train_acc": 0.59, "val_loss": 0.7172285318374634, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6252857744693756, "train_acc": 0.59, "val_loss": 0.6859840154647827, "val_acc": 0.44}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.5703039169311523, "train_acc": 0.59, "val_loss": 0.6547483801841736, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5693247020244598, "train_acc": 0.515, "val_loss": 0.5751006603240967, "val_acc": 0.44}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5075986087322235, "train_acc": 0.515, "val_loss": 0.5159400701522827, "val_acc": 0.44}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.46248573064804077, "train_acc": 0.67, "val_loss": 0.4421863853931427, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.4148845225572586, "train_acc": 0.875, "val_loss": 0.4020595848560333, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.37441621720790863, "train_acc": 0.905, "val_loss": 0.37255680561065674, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.3478944003582001, "train_acc": 0.92, "val_loss": 0.3988181948661804, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.3430830240249634, "train_acc": 0.9, "val_loss": 0.3709404766559601, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.2996840476989746, "train_acc": 0.94, "val_loss": 0.3357701003551483, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.2977384477853775, "train_acc": 0.94, "val_loss": 0.328500896692276, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.26948708295822144, "train_acc": 0.94, "val_loss": 0.30745548009872437, "val_acc": 0.9}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.697654128074646, "final_val_loss": 0.6547483801841736, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5751006603240967, "final_val_loss": 0.30745548009872437, "initial_val_acc": 0.44, "final_val_acc": 0.9, "best_val_acc": 0.94, "best_epoch": 9}, "improvement": 0.49999999999999994, "first_improvement_epoch": 4}}
|
9,613
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.72, "improved_accuracy": 0.96, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8343, "learning_rate": 0.05356634453308937, "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:
{
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[
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0.007,
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0.376701,
0.356881
],
[
-0.292388,
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],
[
0.584463,
0.650145,
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0.131677,
-0.400136
],
[
0.735417,
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}
## Activation Signature
### 0
mean: [1.584355, -1.508991, 1.685881, 0.912322, 0.344225]
std: [1.272346, 1.116409, 2.052419, 1.736882, 1.563334]
pca: [[-0.252831, 0.463154, -0.552290, 0.115225, 0.635030, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.242067, -0.091843, 0.657762, 0.551787, 0.442547, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.690219, 0.372381, -0.075919, 0.591777, -0.170193, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.603069, -0.012751, 0.258941, -0.499580, 0.565256, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.193353, 0.798889, 0.435328, -0.287181, -0.228928, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.026572, 19.501964, 20.282877, 21.828003, 142.591940], [17.595154, 18.424265, 19.525478, 23.187809, 135.809143], [33.187809, 33.263185, 38.321873, 39.470631, 151.729269], [27.237046, 28.638469, 28.750077, 31.070588, 82.108986], [23.635518, 23.856347, 24.590014, 30.980234, 31.401544]]
### 2
mean: [-0.845034, 0.377914, 1.128184, -1.015440, 0.627249]
std: [0.893937, 0.686176, 1.307120, 0.897260, 2.522770]
pca: [[-0.025602, 0.589390, -0.090801, 0.782763, -0.176073, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.214653, -0.216288, -0.260263, 0.318849, 0.858919, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.393446, -0.460264, 0.683578, 0.379687, -0.148043, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.033986, 0.589554, 0.623902, -0.275626, 0.431332, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.892924, -0.215460, 0.259781, 0.255902, 0.152616, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.841170, 14.282453, 16.894342, 20.273819, 76.053078], [10.435669, 10.689380, 10.767451, 11.600309, 34.012223], [19.006537, 20.862150, 22.257240, 22.786748, 101.536583], [14.352335, 15.860157, 15.997753, 20.077963, 91.389610], [38.782121, 40.539684, 41.042319, 42.520773, 56.452420]]
### 4
mean: [0.884789, -0.367879, -0.905516, 0.637251, 0.082616]
std: [1.551112, 1.332689, 0.450809, 0.823243, 1.382576]
pca: [[0.590277, -0.522514, 0.388125, -0.441041, 0.182743, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.496683, 0.655813, 0.302105, -0.045032, -0.479499, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.133191, 0.525393, -0.184459, -0.288537, 0.767427, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.317472, 0.101038, 0.834233, 0.316027, 0.305264, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.535117, -0.103164, -0.167697, 0.787609, 0.233573, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.903948, 26.054136, 26.637202, 27.838382, 79.631005], [19.852695, 20.727421, 20.733577, 23.586908, 33.109103], [7.343632, 7.446814, 7.539895, 8.161360, 81.496420], [12.782009, 13.228156, 13.616227, 13.820824, 57.352627], [21.554039, 21.655800, 21.750938, 22.405154, 23.612091]]
### 6
mean: [-0.506169, 0.743815, 1.176097, 0.159358, -0.253122]
std: [0.091344, 0.828465, 1.869123, 0.464200, 0.124818]
pca: [[0.011547, -0.389776, -0.083963, 0.659411, 0.637235, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.395694, -0.058390, 0.757557, 0.392445, -0.334831, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.894410, 0.188418, 0.327564, 0.222457, -0.087997, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.201336, 0.877250, -0.177332, 0.377517, 0.126215, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.052791, 0.198986, 0.529446, -0.468143, 0.676865, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.332057, 1.356082, 1.465208, 1.592486, 45.555228], [12.878049, 14.052369, 15.305153, 15.677235, 66.943380], [29.825438, 31.495484, 34.476774, 34.952849, 105.848686], [7.217680, 7.407203, 7.536057, 7.832971, 14.342246], [1.792596, 1.817311, 1.945350, 2.074692, 22.780976]]
### 8
mean: [-0.307855, 0.382860, 0.264331, 0.923366, -0.483679]
std: [0.519244, 1.408059, 0.726955, 0.426109, 0.525113]
pca: [[-0.289113, 0.221922, -0.369348, -0.339975, 0.784324, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.786204, 0.125027, -0.263546, 0.440107, 0.321093, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.405876, -0.006734, 0.717775, -0.494186, 0.275315, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.224105, 0.813515, 0.381729, 0.375975, 0.029942, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.288684, -0.522750, 0.364977, 0.552399, 0.452814, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.314651, 8.517592, 8.901445, 8.942798, 27.706945], [22.616159, 23.429492, 25.721957, 25.765327, 34.457389], [11.669328, 12.088096, 12.993456, 13.026575, 23.789814], [6.641074, 6.831637, 6.835250, 7.228183, 83.102901], [8.345695, 8.798037, 10.275578, 10.366300, 43.531140]]
### 10
mean: [-0.142022]
std: [0.963650]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.514520, 15.359036, 16.345790, 18.503463, 18.658276]]
## 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:
{
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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.10.weight": [
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],
"network.10.bias": [
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}
## Activation Signature
### 0
mean: [1.584355, -1.508991, 1.685881, 0.912322, 0.344225]
std: [1.272346, 1.116409, 2.052419, 1.736882, 1.563334]
pca: [[-0.252831, 0.463154, -0.552290, 0.115225, 0.635030, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.242067, -0.091843, 0.657762, 0.551787, 0.442547, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.690219, 0.372381, -0.075919, 0.591777, -0.170193, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.603069, -0.012751, 0.258941, -0.499580, 0.565256, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.193353, 0.798889, 0.435328, -0.287181, -0.228928, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.026572, 19.501964, 20.282877, 21.828003, 142.591940], [17.595154, 18.424265, 19.525478, 23.187809, 135.809143], [33.187809, 33.263185, 38.321873, 39.470631, 151.729269], [27.237046, 28.638469, 28.750077, 31.070588, 82.108986], [23.635518, 23.856347, 24.590014, 30.980234, 31.401544]]
### 2
mean: [-0.845034, 0.377914, 1.128184, -1.015440, 0.627249]
std: [0.893937, 0.686176, 1.307120, 0.897260, 2.522770]
pca: [[-0.025602, 0.589390, -0.090801, 0.782763, -0.176073, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.214653, -0.216288, -0.260263, 0.318849, 0.858919, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.393446, -0.460264, 0.683578, 0.379687, -0.148043, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.033986, 0.589554, 0.623902, -0.275626, 0.431332, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.892924, -0.215460, 0.259781, 0.255902, 0.152616, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.841170, 14.282453, 16.894342, 20.273819, 76.053078], [10.435669, 10.689380, 10.767451, 11.600309, 34.012223], [19.006537, 20.862150, 22.257240, 22.786748, 101.536583], [14.352335, 15.860157, 15.997753, 20.077963, 91.389610], [38.782121, 40.539684, 41.042319, 42.520773, 56.452420]]
### 4
mean: [0.884789, -0.367879, -0.905516, 0.637251, 0.082616]
std: [1.551112, 1.332689, 0.450809, 0.823243, 1.382576]
pca: [[0.590277, -0.522514, 0.388125, -0.441041, 0.182743, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.496683, 0.655813, 0.302105, -0.045032, -0.479499, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.133191, 0.525393, -0.184459, -0.288537, 0.767427, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.317472, 0.101038, 0.834233, 0.316027, 0.305264, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.535117, -0.103164, -0.167697, 0.787609, 0.233573, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.903948, 26.054136, 26.637202, 27.838382, 79.631005], [19.852695, 20.727421, 20.733577, 23.586908, 33.109103], [7.343632, 7.446814, 7.539895, 8.161360, 81.496420], [12.782009, 13.228156, 13.616227, 13.820824, 57.352627], [21.554039, 21.655800, 21.750938, 22.405154, 23.612091]]
### 6
mean: [-0.506169, 0.743815, 1.176097, 0.159358, -0.253122]
std: [0.091344, 0.828465, 1.869123, 0.464200, 0.124818]
pca: [[0.011547, -0.389776, -0.083963, 0.659411, 0.637235, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.395694, -0.058390, 0.757557, 0.392445, -0.334831, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.894410, 0.188418, 0.327564, 0.222457, -0.087997, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.201336, 0.877250, -0.177332, 0.377517, 0.126215, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.052791, 0.198986, 0.529446, -0.468143, 0.676865, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.332057, 1.356082, 1.465208, 1.592486, 45.555228], [12.878049, 14.052369, 15.305153, 15.677235, 66.943380], [29.825438, 31.495484, 34.476774, 34.952849, 105.848686], [7.217680, 7.407203, 7.536057, 7.832971, 14.342246], [1.792596, 1.817311, 1.945350, 2.074692, 22.780976]]
### 8
mean: [-0.307855, 0.382860, 0.264331, 0.923366, -0.483679]
std: [0.519244, 1.408059, 0.726955, 0.426109, 0.525113]
pca: [[-0.289113, 0.221922, -0.369348, -0.339975, 0.784324, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.786204, 0.125027, -0.263546, 0.440107, 0.321093, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.405876, -0.006734, 0.717775, -0.494186, 0.275315, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.224105, 0.813515, 0.381729, 0.375975, 0.029942, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.288684, -0.522750, 0.364977, 0.552399, 0.452814, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.314651, 8.517592, 8.901445, 8.942798, 27.706945], [22.616159, 23.429492, 25.721957, 25.765327, 34.457389], [11.669328, 12.088096, 12.993456, 13.026575, 23.789814], [6.641074, 6.831637, 6.835250, 7.228183, 83.102901], [8.345695, 8.798037, 10.275578, 10.366300, 43.531140]]
### 10
mean: [-0.142022]
std: [0.963650]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.514520, 15.359036, 16.345790, 18.503463, 18.658276]]
## 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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"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": [[-0.347627, 0.007, 0.128529, 0.376701, 0.356881], [-0.292388, -0.095114, -0.273821, -0.133783, -0.12429], [0.584463, 0.650145, -0.006933, 0.131677, -0.400136], [0.735417, 0.300435, -0.177765, -0.078612, -0.369359], [-0.139381, -0.098602, -0.367225, 0.620809, -0.127657]], "network.0.bias": [0.487752, 0.040351, -0.000551, 0.445132, 0.290598], "network.2.weight": [[-0.207371, 0.547551, -0.251748, -0.131154, -0.527306], [0.30014, -0.081181, 0.025192, -0.164656, 0.249044], [0.66168, 0.172811, -0.171185, 0.062644, 0.603334], [-0.29609, -0.197407, -0.39228, 0.029643, -0.335245], [-0.458766, -0.244606, 0.506079, 0.75137, -0.476228]], "network.2.bias": [0.510948, -0.17323, -0.204942, 0.402934, 0.022608], "network.4.weight": [[0.031105, -0.160575, -0.174611, 0.219348, 0.669809], [0.144877, -0.160409, -0.67152, 0.374988, 0.322678], [-0.349634, -0.147413, -0.316421, 0.404948, 0.003561], [0.601203, 0.193084, 0.179448, 0.528214, -0.298018], [-0.25189, 0.153334, -0.50127, 0.030104, 0.510368]], "network.4.bias": [0.377909, 0.141559, -0.439707, 0.636043, 0.030713], "network.6.weight": [[0.084338, 0.045348, -0.099174, -0.233935, -0.22272], [0.029816, -0.374665, -0.366766, 0.480319, -0.38311], [0.826473, 0.285265, -0.269828, -0.41928, 0.248969], [-0.213168, 0.305045, 0.260483, 0.634163, -0.035495], [0.082582, -0.247791, -0.086375, 0.285094, 0.059081]], "network.6.bias": [-0.296085, 0.665238, 0.479112, -0.224334, -0.508863], "network.8.weight": [[-0.165975, 0.221091, -0.192138, 0.321848, -0.298532], [0.265252, -0.578894, 0.596337, -0.234222, -0.319999], [0.176109, -0.16651, 0.323048, -0.287876, -0.129649], [0.334276, 0.520068, -0.02909, 0.558946, -0.338842], [0.074559, 0.094381, -0.284557, -0.253302, -0.161957]], "network.8.bias": [-0.373485, 0.26023, 0.112822, 0.319588, -0.150991], "network.10.weight": [[0.280093, 0.551924, 0.21032, -0.39775, 0.051303]], "network.10.bias": [-0.234129]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6937325298786163, "train_acc": 0.46, "val_loss": 0.6916624307632446, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6800110340118408, "train_acc": 0.57, "val_loss": 0.6530720591545105, "val_acc": 0.72}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6339950561523438, "train_acc": 0.775, "val_loss": 0.5270475745201111, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5256247520446777, "train_acc": 0.85, "val_loss": 0.3710423409938812, "val_acc": 0.96}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3873816877603531, "train_acc": 0.905, "val_loss": 0.2913112938404083, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.33004777133464813, "train_acc": 0.89, "val_loss": 0.2433268129825592, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3133849948644638, "train_acc": 0.92, "val_loss": 0.20898663997650146, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.24530071020126343, "train_acc": 0.93, "val_loss": 0.23935623466968536, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2609248161315918, "train_acc": 0.925, "val_loss": 0.21818013489246368, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.26744574308395386, "train_acc": 0.93, "val_loss": 0.20040100812911987, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.20844420790672302, "train_acc": 0.945, "val_loss": 0.20026126503944397, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.24131037294864655, "train_acc": 0.935, "val_loss": 0.1969209909439087, "val_acc": 0.96}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6916624307632446, "final_val_loss": 0.6530720591545105, "initial_val_acc": 0.48, "final_val_acc": 0.72, "best_val_acc": 0.72}, "improved_stage": {"initial_val_loss": 0.5270475745201111, "final_val_loss": 0.1969209909439087, "initial_val_acc": 0.9, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 3}, "improvement": 0.24, "first_improvement_epoch": 1}}
|
9,614
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.7, "improved_accuracy": 0.94, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3113, "learning_rate": 0.08535893225347682, "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: 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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[
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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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0.30497,
0.35022,
0.335178
]
],
"network.4.bias": [
-0.104007,
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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.12.bias": [
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}
## Activation Signature
### 0
mean: [-4.244396, 0.559810, -3.957051, 2.134178, -0.254742, 2.583455]
std: [2.493743, 1.837563, 2.133941, 2.446574, 2.381271, 2.890417]
pca: [[-0.434445, 0.449509, -0.124030, -0.118913, 0.758599, -0.064836, 0.000000, 0.000000, 0.000000, 0.000000], [0.287609, 0.318827, 0.630996, -0.417335, -0.028548, -0.492433, 0.000000, 0.000000, 0.000000, 0.000000], [-0.234049, 0.741796, 0.085212, 0.317723, -0.491735, 0.212008, 0.000000, 0.000000, 0.000000, 0.000000], [0.452027, 0.069113, 0.166862, 0.782187, 0.354064, -0.160855, 0.000000, 0.000000, 0.000000, 0.000000], [-0.410070, -0.303984, 0.742128, 0.132062, 0.121138, 0.395686, 0.000000, 0.000000, 0.000000, 0.000000], [0.548884, 0.221012, 0.024555, -0.285460, 0.204631, 0.725201, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.745673, 43.641940, 47.292028, 49.325536, 381.995620], [29.894117, 31.393999, 32.908610, 34.534415, 50.382942], [32.296883, 32.374236, 36.224568, 36.429360, 356.134598], [39.279713, 40.113472, 44.694195, 47.164012, 192.076030], [37.586512, 38.557028, 39.228687, 39.411337, 40.078191], [44.566445, 49.123922, 49.538812, 52.551680, 232.510960]]
### 2
mean: [3.085788, -1.821766, 1.579394, -1.019208, -0.488227, -2.887481]
std: [3.849320, 2.655262, 1.769884, 2.432535, 0.474459, 2.768768]
pca: [[0.623560, -0.014565, 0.535344, 0.181320, -0.366513, 0.396432, 0.000000, 0.000000, 0.000000, 0.000000], [-0.430240, -0.051818, 0.124055, 0.814579, -0.325196, -0.165915, 0.000000, 0.000000, 0.000000, 0.000000], [0.286186, 0.009173, -0.355808, 0.526710, 0.618869, 0.361927, 0.000000, 0.000000, 0.000000, 0.000000], [-0.381073, 0.772542, 0.151651, -0.066368, 0.028114, 0.479343, 0.000000, 0.000000, 0.000000, 0.000000], [-0.065915, 0.007456, 0.721694, 0.032222, 0.607296, -0.323899, 0.000000, 0.000000, 0.000000, 0.000000], [-0.441136, -0.632568, 0.166066, -0.143938, 0.085546, 0.591306, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[57.983856, 66.905833, 68.883860, 68.905573, 277.720875], [41.608712, 44.103417, 46.741121, 48.458340, 163.958913], [27.960235, 28.821453, 31.783554, 32.289233, 142.145456], [38.824310, 42.003308, 44.806328, 47.136276, 91.728670], [8.307937, 8.439798, 9.096875, 9.484246, 43.940402], [43.410503, 46.192956, 46.959698, 49.268357, 259.873323]]
### 4
mean: [-0.886292, -1.539212, -1.931800, -2.081073, 2.548150, -0.108373]
std: [1.479618, 2.343152, 1.293815, 1.126961, 3.218003, 0.788953]
pca: [[-0.331864, -0.181305, -0.340718, 0.393807, -0.384596, 0.661747, 0.000000, 0.000000, 0.000000, 0.000000], [-0.532116, -0.170047, -0.439782, -0.067083, 0.693260, -0.097045, 0.000000, 0.000000, 0.000000, 0.000000], [-0.053557, 0.811239, -0.309898, -0.417101, -0.042790, 0.259193, 0.000000, 0.000000, 0.000000, 0.000000], [-0.188922, 0.487752, 0.435992, 0.654255, 0.323176, 0.061847, 0.000000, 0.000000, 0.000000, 0.000000], [0.735306, -0.064456, -0.250838, 0.163154, 0.460156, 0.392285, 0.000000, 0.000000, 0.000000, 0.000000], [-0.165781, -0.195056, 0.584344, -0.460189, 0.231212, 0.572520, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.555286, 25.951888, 27.211957, 29.187710, 79.766312], [35.545762, 41.476897, 42.553862, 45.357359, 138.529122], [19.693840, 22.005877, 23.276214, 24.467354, 173.861980], [17.929836, 18.666727, 20.503351, 22.627071, 187.296549], [49.166049, 57.396185, 57.550267, 59.506929, 229.333492], [11.636454, 12.906447, 12.951989, 14.537679, 16.492538]]
### 6
mean: [2.106376, -0.840409, -0.745174, -0.765862, 0.218176, -0.390039]
std: [2.319213, 0.176588, 1.462876, 0.389550, 0.685076, 0.311269]
pca: [[0.812915, 0.282919, 0.311451, 0.110423, 0.166106, 0.349770, 0.000000, 0.000000, 0.000000, 0.000000], [-0.025201, -0.421583, -0.492656, 0.068190, 0.160094, 0.740704, 0.000000, 0.000000, 0.000000, 0.000000], [-0.513174, 0.029363, 0.714449, 0.025275, 0.203506, 0.428134, 0.000000, 0.000000, 0.000000, 0.000000], [-0.131325, 0.280821, -0.072530, 0.771666, -0.529620, 0.150555, 0.000000, 0.000000, 0.000000, 0.000000], [-0.215520, 0.799516, -0.337225, -0.370459, 0.053696, 0.245929, 0.000000, 0.000000, 0.000000, 0.000000], [-0.107196, 0.152563, -0.175695, 0.499810, 0.788659, -0.250143, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.179875, 39.937984, 42.174784, 47.670432, 189.573843], [2.950769, 3.202446, 3.325966, 3.374447, 75.636780], [23.388928, 24.220499, 26.112316, 30.815985, 67.065692], [6.073688, 6.285561, 6.707298, 8.402442, 68.927605], [10.663812, 10.765383, 11.679580, 14.540494, 19.635803], [4.813592, 4.979378, 5.498769, 6.706625, 35.103511]]
### 8
mean: [0.942006, -0.076022, -0.029872, 0.000802, 2.185001, 0.048205]
std: [1.307325, 0.453452, 1.010911, 0.068136, 2.124318, 0.483435]
pca: [[0.477501, -0.209346, 0.663538, 0.448854, -0.064236, 0.286859, 0.000000, 0.000000, 0.000000, 0.000000], [-0.146110, 0.442376, -0.222611, 0.568580, -0.638578, 0.048314, 0.000000, 0.000000, 0.000000, 0.000000], [-0.351558, 0.652240, 0.497041, -0.250246, 0.161863, 0.339291, 0.000000, 0.000000, 0.000000, 0.000000], [0.014422, 0.112999, -0.404322, 0.463104, 0.659805, 0.416821, 0.000000, 0.000000, 0.000000, 0.000000], [0.772207, 0.544411, -0.156559, -0.202877, 0.059631, -0.195160, 0.000000, 0.000000, 0.000000, 0.000000], [0.174759, -0.160961, -0.274090, -0.396232, -0.350704, 0.767093, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.364192, 22.091376, 22.774432, 28.290448, 84.780534], [6.842002, 7.123010, 7.572923, 7.654199, 9.163750], [15.134986, 15.378903, 15.961592, 17.488156, 21.451317], [1.042260, 1.083258, 1.191411, 1.223570, 1.274958], [35.129085, 35.183593, 38.230668, 44.627039, 196.650089], [6.641378, 7.553875, 7.894631, 8.346764, 10.463027]]
### 10
mean: [-2.827135, 2.707081, -2.534862, -1.703535, -1.099768, 0.539504]
std: [1.382011, 2.134276, 1.515056, 1.347447, 0.787840, 0.740058]
pca: [[-0.368493, 0.733192, 0.263114, -0.247111, 0.283112, 0.340878, 0.000000, 0.000000, 0.000000, 0.000000], [0.636616, 0.380164, -0.057029, 0.563065, -0.042405, 0.357915, 0.000000, 0.000000, 0.000000, 0.000000], [-0.449718, 0.316954, 0.034858, 0.584107, -0.338513, -0.490210, 0.000000, 0.000000, 0.000000, 0.000000], [-0.397920, -0.319786, -0.248089, 0.485264, 0.586338, 0.313967, 0.000000, 0.000000, 0.000000, 0.000000], [-0.222371, -0.316701, 0.532365, 0.135134, -0.501890, 0.544688, 0.000000, 0.000000, 0.000000, 0.000000], [0.221127, -0.121995, 0.762459, 0.164228, 0.455820, -0.346603, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.966231, 23.231911, 26.066141, 28.268323, 254.442101], [34.053188, 38.338958, 39.392856, 42.625590, 243.637290], [24.450551, 26.069161, 27.818286, 30.646132, 228.137607], [21.865577, 23.473831, 24.666755, 27.497388, 153.318182], [12.368973, 13.532801, 13.908466, 16.686875, 98.979091], [12.406356, 12.597553, 13.632004, 14.880796, 48.555386]]
### 12
mean: [-2.073016]
std: [1.663502]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.374113, 31.090460, 31.197701, 31.826688, 186.571468]]
## 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: 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.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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[
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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: [-4.244396, 0.559810, -3.957051, 2.134178, -0.254742, 2.583455]
std: [2.493743, 1.837563, 2.133941, 2.446574, 2.381271, 2.890417]
pca: [[-0.434445, 0.449509, -0.124030, -0.118913, 0.758599, -0.064836, 0.000000, 0.000000, 0.000000, 0.000000], [0.287609, 0.318827, 0.630996, -0.417335, -0.028548, -0.492433, 0.000000, 0.000000, 0.000000, 0.000000], [-0.234049, 0.741796, 0.085212, 0.317723, -0.491735, 0.212008, 0.000000, 0.000000, 0.000000, 0.000000], [0.452027, 0.069113, 0.166862, 0.782187, 0.354064, -0.160855, 0.000000, 0.000000, 0.000000, 0.000000], [-0.410070, -0.303984, 0.742128, 0.132062, 0.121138, 0.395686, 0.000000, 0.000000, 0.000000, 0.000000], [0.548884, 0.221012, 0.024555, -0.285460, 0.204631, 0.725201, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.745673, 43.641940, 47.292028, 49.325536, 381.995620], [29.894117, 31.393999, 32.908610, 34.534415, 50.382942], [32.296883, 32.374236, 36.224568, 36.429360, 356.134598], [39.279713, 40.113472, 44.694195, 47.164012, 192.076030], [37.586512, 38.557028, 39.228687, 39.411337, 40.078191], [44.566445, 49.123922, 49.538812, 52.551680, 232.510960]]
### 2
mean: [3.085788, -1.821766, 1.579394, -1.019208, -0.488227, -2.887481]
std: [3.849320, 2.655262, 1.769884, 2.432535, 0.474459, 2.768768]
pca: [[0.623560, -0.014565, 0.535344, 0.181320, -0.366513, 0.396432, 0.000000, 0.000000, 0.000000, 0.000000], [-0.430240, -0.051818, 0.124055, 0.814579, -0.325196, -0.165915, 0.000000, 0.000000, 0.000000, 0.000000], [0.286186, 0.009173, -0.355808, 0.526710, 0.618869, 0.361927, 0.000000, 0.000000, 0.000000, 0.000000], [-0.381073, 0.772542, 0.151651, -0.066368, 0.028114, 0.479343, 0.000000, 0.000000, 0.000000, 0.000000], [-0.065915, 0.007456, 0.721694, 0.032222, 0.607296, -0.323899, 0.000000, 0.000000, 0.000000, 0.000000], [-0.441136, -0.632568, 0.166066, -0.143938, 0.085546, 0.591306, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[57.983856, 66.905833, 68.883860, 68.905573, 277.720875], [41.608712, 44.103417, 46.741121, 48.458340, 163.958913], [27.960235, 28.821453, 31.783554, 32.289233, 142.145456], [38.824310, 42.003308, 44.806328, 47.136276, 91.728670], [8.307937, 8.439798, 9.096875, 9.484246, 43.940402], [43.410503, 46.192956, 46.959698, 49.268357, 259.873323]]
### 4
mean: [-0.886292, -1.539212, -1.931800, -2.081073, 2.548150, -0.108373]
std: [1.479618, 2.343152, 1.293815, 1.126961, 3.218003, 0.788953]
pca: [[-0.331864, -0.181305, -0.340718, 0.393807, -0.384596, 0.661747, 0.000000, 0.000000, 0.000000, 0.000000], [-0.532116, -0.170047, -0.439782, -0.067083, 0.693260, -0.097045, 0.000000, 0.000000, 0.000000, 0.000000], [-0.053557, 0.811239, -0.309898, -0.417101, -0.042790, 0.259193, 0.000000, 0.000000, 0.000000, 0.000000], [-0.188922, 0.487752, 0.435992, 0.654255, 0.323176, 0.061847, 0.000000, 0.000000, 0.000000, 0.000000], [0.735306, -0.064456, -0.250838, 0.163154, 0.460156, 0.392285, 0.000000, 0.000000, 0.000000, 0.000000], [-0.165781, -0.195056, 0.584344, -0.460189, 0.231212, 0.572520, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.555286, 25.951888, 27.211957, 29.187710, 79.766312], [35.545762, 41.476897, 42.553862, 45.357359, 138.529122], [19.693840, 22.005877, 23.276214, 24.467354, 173.861980], [17.929836, 18.666727, 20.503351, 22.627071, 187.296549], [49.166049, 57.396185, 57.550267, 59.506929, 229.333492], [11.636454, 12.906447, 12.951989, 14.537679, 16.492538]]
### 6
mean: [2.106376, -0.840409, -0.745174, -0.765862, 0.218176, -0.390039]
std: [2.319213, 0.176588, 1.462876, 0.389550, 0.685076, 0.311269]
pca: [[0.812915, 0.282919, 0.311451, 0.110423, 0.166106, 0.349770, 0.000000, 0.000000, 0.000000, 0.000000], [-0.025201, -0.421583, -0.492656, 0.068190, 0.160094, 0.740704, 0.000000, 0.000000, 0.000000, 0.000000], [-0.513174, 0.029363, 0.714449, 0.025275, 0.203506, 0.428134, 0.000000, 0.000000, 0.000000, 0.000000], [-0.131325, 0.280821, -0.072530, 0.771666, -0.529620, 0.150555, 0.000000, 0.000000, 0.000000, 0.000000], [-0.215520, 0.799516, -0.337225, -0.370459, 0.053696, 0.245929, 0.000000, 0.000000, 0.000000, 0.000000], [-0.107196, 0.152563, -0.175695, 0.499810, 0.788659, -0.250143, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.179875, 39.937984, 42.174784, 47.670432, 189.573843], [2.950769, 3.202446, 3.325966, 3.374447, 75.636780], [23.388928, 24.220499, 26.112316, 30.815985, 67.065692], [6.073688, 6.285561, 6.707298, 8.402442, 68.927605], [10.663812, 10.765383, 11.679580, 14.540494, 19.635803], [4.813592, 4.979378, 5.498769, 6.706625, 35.103511]]
### 8
mean: [0.942006, -0.076022, -0.029872, 0.000802, 2.185001, 0.048205]
std: [1.307325, 0.453452, 1.010911, 0.068136, 2.124318, 0.483435]
pca: [[0.477501, -0.209346, 0.663538, 0.448854, -0.064236, 0.286859, 0.000000, 0.000000, 0.000000, 0.000000], [-0.146110, 0.442376, -0.222611, 0.568580, -0.638578, 0.048314, 0.000000, 0.000000, 0.000000, 0.000000], [-0.351558, 0.652240, 0.497041, -0.250246, 0.161863, 0.339291, 0.000000, 0.000000, 0.000000, 0.000000], [0.014422, 0.112999, -0.404322, 0.463104, 0.659805, 0.416821, 0.000000, 0.000000, 0.000000, 0.000000], [0.772207, 0.544411, -0.156559, -0.202877, 0.059631, -0.195160, 0.000000, 0.000000, 0.000000, 0.000000], [0.174759, -0.160961, -0.274090, -0.396232, -0.350704, 0.767093, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.364192, 22.091376, 22.774432, 28.290448, 84.780534], [6.842002, 7.123010, 7.572923, 7.654199, 9.163750], [15.134986, 15.378903, 15.961592, 17.488156, 21.451317], [1.042260, 1.083258, 1.191411, 1.223570, 1.274958], [35.129085, 35.183593, 38.230668, 44.627039, 196.650089], [6.641378, 7.553875, 7.894631, 8.346764, 10.463027]]
### 10
mean: [-2.827135, 2.707081, -2.534862, -1.703535, -1.099768, 0.539504]
std: [1.382011, 2.134276, 1.515056, 1.347447, 0.787840, 0.740058]
pca: [[-0.368493, 0.733192, 0.263114, -0.247111, 0.283112, 0.340878, 0.000000, 0.000000, 0.000000, 0.000000], [0.636616, 0.380164, -0.057029, 0.563065, -0.042405, 0.357915, 0.000000, 0.000000, 0.000000, 0.000000], [-0.449718, 0.316954, 0.034858, 0.584107, -0.338513, -0.490210, 0.000000, 0.000000, 0.000000, 0.000000], [-0.397920, -0.319786, -0.248089, 0.485264, 0.586338, 0.313967, 0.000000, 0.000000, 0.000000, 0.000000], [-0.222371, -0.316701, 0.532365, 0.135134, -0.501890, 0.544688, 0.000000, 0.000000, 0.000000, 0.000000], [0.221127, -0.121995, 0.762459, 0.164228, 0.455820, -0.346603, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.966231, 23.231911, 26.066141, 28.268323, 254.442101], [34.053188, 38.338958, 39.392856, 42.625590, 243.637290], [24.450551, 26.069161, 27.818286, 30.646132, 228.137607], [21.865577, 23.473831, 24.666755, 27.497388, 153.318182], [12.368973, 13.532801, 13.908466, 16.686875, 98.979091], [12.406356, 12.597553, 13.632004, 14.880796, 48.555386]]
### 12
mean: [-2.073016]
std: [1.663502]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.374113, 31.090460, 31.197701, 31.826688, 186.571468]]
## 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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"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": [[-0.237741, -0.896573, -0.485819, -0.270648, 0.06796], [0.757247, 0.305726, -0.017122, -0.248717, 0.008825], [0.158043, -0.363012, -0.81348, -0.478102, 0.001637], [0.720279, 0.744022, 0.008936, 0.177708, -0.462739], [-0.395674, -0.808851, -0.274132, 0.403343, 0.658475], [0.822387, 0.839921, 0.334311, -0.233967, -0.45033]], "network.0.bias": [-0.803392, -0.381401, -0.769724, 0.053017, 0.607123, 0.388315], "network.2.weight": [[0.485626, 0.398634, -0.255417, 0.509386, -0.459102, 0.659557], [-0.340863, -0.032864, -0.182986, -0.350096, 0.197828, -0.608088], [-0.028104, 0.04547, 0.598525, 0.399192, -0.180317, 0.239823], [-0.755228, 0.018644, -0.474025, -0.361822, 0.763708, -0.362729], [-0.861584, 0.226986, 0.579159, -0.197745, -0.017413, -0.099901], [0.016423, -0.193479, 0.304532, -0.499794, -0.154579, -0.52191]], "network.2.bias": [0.222232, 0.424197, 0.184137, 0.162485, 0.020636, -0.155164], "network.4.weight": [[-0.17339, 0.04168, -0.280349, 0.540815, 0.380268, -0.232031], [-0.342057, 0.104283, -0.395988, 0.684, -0.092611, -0.039387], [-0.249912, -0.690284, -0.030648, -0.992387, -0.318719, 0.19555], [-0.445676, -0.726634, 0.283099, -0.361264, 0.885027, -0.29678], [0.730329, -0.241345, 0.138305, -0.42599, -0.766794, 0.306063], [-0.201121, 0.433351, 0.148698, 0.30497, 0.35022, 0.335178]], "network.4.bias": [-0.104007, -0.131483, -0.599577, -0.789131, 0.145069, 0.18407], "network.6.weight": [[-0.700898, -0.31852, -0.657195, -0.278031, 0.579045, -0.772386], [-0.077045, -0.289229, 0.550426, 0.308904, -0.064049, 0.220354], [0.461267, 0.607198, -0.387521, -0.464261, -0.333524, 0.120697], [-0.158926, 0.431306, 0.103322, 0.372235, -0.070137, 0.085088], [0.126599, 0.453929, 0.181318, 0.0682, -0.066551, 0.362142], [-0.203532, 0.381936, 0.400644, -0.106057, -0.062468, 0.054194]], "network.6.bias": [0.732213, -0.550998, -0.127261, -0.622327, 0.25492, -0.257105], "network.8.weight": [[0.362759, 0.094104, -1.040919, -0.361104, 0.046176, -0.690015], [-0.008152, -0.289344, 0.410261, -0.154628, 0.200086, 0.335867], [-0.106908, 0.159518, 0.353945, 0.459335, 0.82436, 0.553497], [0.030697, -0.142031, 0.205309, -0.186045, -0.128648, -0.204462], [0.754934, -0.156632, -0.815801, -0.22063, -0.449162, -0.824084], [0.087751, 0.005597, -0.114698, -0.032203, -0.44174, -0.061247]], "network.8.bias": [0.179265, -0.207479, 0.105633, -0.143493, 0.563278, -0.040526], "network.10.weight": [[-0.462201, -0.139785, -0.686451, 0.304987, -0.755973, 0.350142], [0.500208, -0.824858, -0.275399, -0.65634, 0.825444, -0.03575], [-0.233388, -0.004994, -0.221955, -0.206455, -0.843371, 0.210717], [-0.13449, 0.46101, 0.3002, 0.084971, -0.534289, -0.281933], [-0.030948, 0.419634, 0.256318, -0.186791, -0.324229, 0.420686], [0.417185, 0.172878, -0.017384, 0.146033, 0.211321, 0.317737]], "network.10.bias": [-0.443312, 0.297288, -0.266675, -0.336413, -0.401432, -0.441181], "network.12.weight": [[0.467157, -0.831501, -0.156724, 0.265431, 0.109005, -0.047641]], "network.12.bias": [0.288775]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.707543820142746, "train_acc": 0.47, "val_loss": 0.7360965013504028, "val_acc": 0.36}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6348949074745178, "train_acc": 0.61, "val_loss": 0.5903552174568176, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.9430866241455078, "train_acc": 0.74, "val_loss": 0.4749167263507843, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6790865957736969, "train_acc": 0.73, "val_loss": 0.7074804902076721, "val_acc": 0.58}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4467630386352539, "train_acc": 0.74, "val_loss": 0.4943141043186188, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.45407843589782715, "train_acc": 0.85, "val_loss": 0.41357162594795227, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.44547003507614136, "train_acc": 0.815, "val_loss": 0.30827295780181885, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3845735788345337, "train_acc": 0.82, "val_loss": 0.2588236331939697, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3142187297344208, "train_acc": 0.86, "val_loss": 0.3372267484664917, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2896708473563194, "train_acc": 0.895, "val_loss": 0.4050968587398529, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2272985652089119, "train_acc": 0.91, "val_loss": 0.2987964451313019, "val_acc": 0.9}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.7360965013504028, "final_val_loss": 0.5903552174568176, "initial_val_acc": 0.36, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.4749167263507843, "final_val_loss": 0.2987964451313019, "initial_val_acc": 0.82, "final_val_acc": 0.9, "best_val_acc": 0.94, "best_epoch": 6}, "improvement": 0.24, "first_improvement_epoch": 1}}
|
9,615
|
{"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": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1959, "learning_rate": 0.07929790339209664, "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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-0.139604,
0.215834,
-0.045372,
0.390731,
0.050687
],
[
-0.092136,
0.769607,
0.118217,
0.129739,
-0.044636,
0.708202
],
[
0.357792,
0.179215,
-0.406235,
-0.361306,
-0.138436,
0.630645
],
[
0.425927,
0.339471,
0.281718,
-0.217449,
0.096454,
-0.002704
],
[
-0.105695,
-0.354143,
-0.358102,
0.012283,
-0.216623,
-0.602677
]
],
"network.8.bias": [
-0.135874,
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-0.207896,
-0.077867,
-0.04923,
-0.147508
],
"network.10.weight": [
[
-0.045052,
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0.161428,
-0.313084,
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],
[
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0.106047,
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-0.296331,
-0.082541,
-0.151712
],
[
0.163924,
-0.289702,
0.606776,
0.524045,
0.077515,
-0.539027
],
[
0.062552,
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0.419843,
0.26246,
0.28005,
-0.401787
],
[
0.086857,
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0.482758,
0.337458,
0.255905,
0.387898
],
[
-0.058248,
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]
],
"network.10.bias": [
-0.123931,
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],
"network.12.weight": [
[
0.172149,
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-0.315783,
-0.652173,
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]
],
"network.12.bias": [
0.19737
]
}
## Activation Signature
### 0
mean: [0.726599, 2.425178, 2.474033, -0.149082, -2.298784, 0.173275]
std: [1.442322, 1.770566, 2.189264, 1.199246, 1.616732, 1.586769]
pca: [[0.381751, -0.230978, -0.439689, -0.351380, 0.694445, 0.043215, 0.000000, 0.000000, 0.000000, 0.000000], [0.459550, 0.309353, 0.546413, -0.614493, -0.118102, 0.054752, 0.000000, 0.000000, 0.000000, 0.000000], [0.643629, 0.072319, 0.181258, 0.680980, 0.112968, 0.266762, 0.000000, 0.000000, 0.000000, 0.000000], [-0.234826, 0.400686, 0.355812, 0.180414, 0.610217, -0.502783, 0.000000, 0.000000, 0.000000, 0.000000], [-0.300456, -0.562371, 0.561845, -0.025719, 0.293647, 0.436927, 0.000000, 0.000000, 0.000000, 0.000000], [-0.288799, 0.607379, -0.181607, -0.044564, 0.180118, 0.693020, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.944223, 23.537470, 24.232691, 27.803121, 65.393936], [28.048837, 29.294714, 29.509807, 34.887386, 218.266046], [34.278802, 35.534616, 41.942206, 43.916601, 222.662956], [19.262410, 20.222619, 21.856187, 22.318584, 24.721665], [24.976730, 25.893863, 30.198526, 32.785034, 206.890578], [24.129359, 25.969120, 26.694201, 26.730792, 27.771786]]
### 2
mean: [-2.172282, -0.155820, -1.504828, 1.994887, 3.825360, 2.456292]
std: [1.369885, 1.323836, 1.050256, 2.149129, 3.439421, 2.019281]
pca: [[-0.261505, 0.457255, 0.292809, 0.689051, 0.386369, 0.112799, 0.000000, 0.000000, 0.000000, 0.000000], [-0.243697, -0.578453, 0.064803, -0.169126, 0.668259, 0.355852, 0.000000, 0.000000, 0.000000, 0.000000], [-0.168460, 0.625056, -0.466455, -0.486649, 0.326315, 0.141552, 0.000000, 0.000000, 0.000000, 0.000000], [0.430261, 0.241539, 0.737178, -0.417864, 0.195753, -0.013166, 0.000000, 0.000000, 0.000000, 0.000000], [0.699805, -0.062622, -0.371200, 0.255235, 0.461624, -0.300535, 0.000000, 0.000000, 0.000000, 0.000000], [0.411092, 0.057901, -0.106126, 0.141499, -0.215061, 0.866092, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.405619, 22.952928, 24.644106, 28.093389, 195.505358], [17.478130, 20.586267, 21.422893, 23.272868, 24.254888], [17.052920, 17.809154, 19.334131, 20.628976, 135.434549], [32.990257, 33.308304, 39.165354, 41.202121, 179.539868], [53.512571, 55.748316, 60.506467, 62.025358, 344.282409], [32.520952, 32.908281, 35.216042, 35.650821, 221.066281]]
### 4
mean: [5.865631, -2.399652, 6.215761, -3.259730, -0.638511, -1.560165]
std: [4.884529, 1.542704, 5.228691, 2.341180, 0.174336, 0.979923]
pca: [[0.630951, 0.545669, -0.080819, -0.513888, 0.162468, 0.084486, 0.000000, 0.000000, 0.000000, 0.000000], [-0.199076, -0.009294, 0.874718, -0.373686, -0.060875, 0.227606, 0.000000, 0.000000, 0.000000, 0.000000], [0.676917, -0.135899, 0.367974, 0.498261, -0.358494, -0.105487, 0.000000, 0.000000, 0.000000, 0.000000], [-0.297626, 0.715343, 0.151918, 0.211186, -0.227985, -0.529195, 0.000000, 0.000000, 0.000000, 0.000000], [-0.006322, 0.265594, 0.192690, 0.523543, 0.719602, 0.316807, 0.000000, 0.000000, 0.000000, 0.000000], [-0.124227, 0.318487, -0.180897, 0.171223, -0.521130, 0.741294, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[78.080879, 79.038588, 80.556382, 85.761244, 527.906765], [23.424061, 26.096769, 26.559685, 27.427707, 215.968655], [81.258437, 82.706346, 87.841882, 94.612775, 559.418480], [36.904529, 41.086452, 42.975914, 43.484287, 293.375721], [2.686714, 3.081517, 3.082241, 3.247469, 57.465966], [15.063365, 17.319398, 17.567798, 18.515638, 140.414854]]
### 6
mean: [-3.327648, 7.361033, -5.560495, -1.124771, -0.573328, 5.991275]
std: [2.417097, 5.896900, 3.933521, 0.754306, 0.073844, 4.787895]
pca: [[-0.270839, 0.673202, 0.304761, -0.311161, -0.029771, 0.531845, 0.000000, 0.000000, 0.000000, 0.000000], [0.661051, 0.002891, 0.723411, -0.125223, 0.018883, -0.153762, 0.000000, 0.000000, 0.000000, 0.000000], [-0.440951, -0.111823, 0.532645, 0.707647, -0.090291, 0.020734, 0.000000, 0.000000, 0.000000, 0.000000], [-0.084436, -0.379176, 0.115028, -0.103032, 0.835126, 0.357511, 0.000000, 0.000000, 0.000000, 0.000000], [-0.004090, -0.598405, 0.089427, -0.248955, -0.541249, 0.528174, 0.000000, 0.000000, 0.000000, 0.000000], [0.536725, 0.180066, -0.280817, 0.560481, 0.014795, 0.535057, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.891952, 38.237236, 40.846836, 43.872864, 299.488294], [91.371395, 94.533033, 98.287376, 104.727929, 662.492969], [60.948753, 63.139793, 65.467824, 69.701985, 500.444647], [11.888781, 12.229872, 12.362447, 12.846820, 101.229438], [1.100341, 1.165254, 1.211030, 1.436272, 51.599544], [74.186767, 76.886650, 79.649465, 84.778455, 539.214805]]
### 8
mean: [-6.859602, -1.333442, 9.704690, 5.022476, 2.434217, -6.368241]
std: [5.370753, 0.580371, 7.923508, 4.072802, 1.987889, 4.970034]
pca: [[-0.458512, 0.302488, 0.649087, -0.067848, 0.065979, -0.517685, 0.000000, 0.000000, 0.000000, 0.000000], [-0.049547, 0.111247, -0.135620, 0.687942, 0.699751, -0.062137, 0.000000, 0.000000, 0.000000, 0.000000], [0.676446, 0.089822, 0.635221, 0.283281, -0.104061, 0.199424, 0.000000, 0.000000, 0.000000, 0.000000], [0.347704, 0.782274, -0.246437, -0.386321, 0.225142, -0.080534, 0.000000, 0.000000, 0.000000, 0.000000], [0.169710, -0.455327, 0.223606, -0.534145, 0.654418, 0.017410, 0.000000, 0.000000, 0.000000, 0.000000], [-0.424302, 0.262264, 0.214610, -0.085616, 0.127337, 0.825580, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[83.187929, 86.218614, 89.407024, 95.213529, 617.364178], [8.991503, 9.298182, 9.681153, 10.320686, 120.009746], [122.733629, 127.146394, 131.958291, 140.558529, 873.422096], [63.082574, 65.393731, 67.787738, 72.183506, 452.022840], [30.794960, 31.872982, 33.133894, 35.308424, 219.079511], [76.982299, 79.775735, 82.746831, 88.126552, 573.141705]]
### 10
mean: [-2.761648, -4.995579, 9.038983, 6.039488, 7.012773, 10.712657]
std: [2.143089, 3.754230, 7.070268, 4.933829, 5.687096, 8.847870]
pca: [[-0.150176, 0.184945, 0.721230, -0.327913, 0.557970, -0.064902, 0.000000, 0.000000, 0.000000, 0.000000], [-0.263077, 0.113514, 0.078558, 0.804015, 0.310350, 0.411067, 0.000000, 0.000000, 0.000000, 0.000000], [0.495447, -0.197624, 0.451309, 0.471720, -0.166761, -0.511340, 0.000000, 0.000000, 0.000000, 0.000000], [0.345737, 0.450230, -0.474270, 0.071857, 0.555754, -0.372561, 0.000000, 0.000000, 0.000000, 0.000000], [0.398522, 0.709310, 0.210909, -0.040479, -0.379523, 0.384578, 0.000000, 0.000000, 0.000000, 0.000000], [0.620013, -0.456100, -0.023711, -0.129273, 0.334130, 0.527864, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.200313, 34.426074, 35.705824, 38.069739, 248.548353], [58.074161, 60.328742, 62.513041, 66.624463, 449.602076], [109.373429, 113.617660, 117.728783, 125.471854, 813.508501], [76.341141, 79.277615, 82.164751, 87.575575, 543.553909], [87.990731, 91.383663, 94.705944, 100.940474, 631.149628], [136.905304, 142.194569, 147.325253, 157.018292, 964.139116]]
### 12
mean: [-13.205359]
std: [10.897509]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[169.056914, 175.227450, 181.461493, 193.464726, 1188.482298]]
## 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": [
[
0.607253,
0.239128,
-0.012761,
-0.105781,
-0.223486
],
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],
[
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],
[
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0.068722,
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0.282927
],
[
-0.201173,
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-0.384697
],
[
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0.143061,
0.045192,
0.056552,
0.674529
]
],
"network.0.bias": [
0.064291,
0.031576,
0.464816,
-0.285546,
-0.020938,
-0.358037
],
"network.2.weight": [
[
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-0.445742,
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-0.227587,
-0.106075,
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],
[
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-0.059013,
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0.708843
],
[
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0.178002,
0.129952,
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],
[
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0.186215,
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-0.160578,
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],
[
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0.924106,
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],
[
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0.515597,
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]
],
"network.2.bias": [
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0.33692,
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0.359562,
0.555637
],
"network.4.weight": [
[
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0.488392,
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0.864229
],
[
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0.138291,
0.14944,
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],
[
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0.769751,
0.604642
],
[
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0.078619,
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-0.522171,
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[
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0.044938,
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],
[
-0.047613,
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0.037058,
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-0.032159
]
],
"network.4.bias": [
0.55099,
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0.006899,
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],
"network.6.weight": [
[
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],
[
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0.489683,
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0.651302,
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[
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[
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0.301319,
0.441141,
0.106238
]
],
"network.6.bias": [
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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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],
[
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-0.082541,
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],
[
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0.077515,
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[
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0.28005,
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],
[
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0.255905,
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],
[
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-0.248447
]
],
"network.10.bias": [
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0.308851,
-0.04971,
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-0.205608
],
"network.12.weight": [
[
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0.009965,
-0.136918,
-0.315783,
-0.652173,
-0.529153
]
],
"network.12.bias": [
0.19737
]
}
## Activation Signature
### 0
mean: [0.726599, 2.425178, 2.474033, -0.149082, -2.298784, 0.173275]
std: [1.442322, 1.770566, 2.189264, 1.199246, 1.616732, 1.586769]
pca: [[0.381751, -0.230978, -0.439689, -0.351380, 0.694445, 0.043215, 0.000000, 0.000000, 0.000000, 0.000000], [0.459550, 0.309353, 0.546413, -0.614493, -0.118102, 0.054752, 0.000000, 0.000000, 0.000000, 0.000000], [0.643629, 0.072319, 0.181258, 0.680980, 0.112968, 0.266762, 0.000000, 0.000000, 0.000000, 0.000000], [-0.234826, 0.400686, 0.355812, 0.180414, 0.610217, -0.502783, 0.000000, 0.000000, 0.000000, 0.000000], [-0.300456, -0.562371, 0.561845, -0.025719, 0.293647, 0.436927, 0.000000, 0.000000, 0.000000, 0.000000], [-0.288799, 0.607379, -0.181607, -0.044564, 0.180118, 0.693020, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.944223, 23.537470, 24.232691, 27.803121, 65.393936], [28.048837, 29.294714, 29.509807, 34.887386, 218.266046], [34.278802, 35.534616, 41.942206, 43.916601, 222.662956], [19.262410, 20.222619, 21.856187, 22.318584, 24.721665], [24.976730, 25.893863, 30.198526, 32.785034, 206.890578], [24.129359, 25.969120, 26.694201, 26.730792, 27.771786]]
### 2
mean: [-2.172282, -0.155820, -1.504828, 1.994887, 3.825360, 2.456292]
std: [1.369885, 1.323836, 1.050256, 2.149129, 3.439421, 2.019281]
pca: [[-0.261505, 0.457255, 0.292809, 0.689051, 0.386369, 0.112799, 0.000000, 0.000000, 0.000000, 0.000000], [-0.243697, -0.578453, 0.064803, -0.169126, 0.668259, 0.355852, 0.000000, 0.000000, 0.000000, 0.000000], [-0.168460, 0.625056, -0.466455, -0.486649, 0.326315, 0.141552, 0.000000, 0.000000, 0.000000, 0.000000], [0.430261, 0.241539, 0.737178, -0.417864, 0.195753, -0.013166, 0.000000, 0.000000, 0.000000, 0.000000], [0.699805, -0.062622, -0.371200, 0.255235, 0.461624, -0.300535, 0.000000, 0.000000, 0.000000, 0.000000], [0.411092, 0.057901, -0.106126, 0.141499, -0.215061, 0.866092, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.405619, 22.952928, 24.644106, 28.093389, 195.505358], [17.478130, 20.586267, 21.422893, 23.272868, 24.254888], [17.052920, 17.809154, 19.334131, 20.628976, 135.434549], [32.990257, 33.308304, 39.165354, 41.202121, 179.539868], [53.512571, 55.748316, 60.506467, 62.025358, 344.282409], [32.520952, 32.908281, 35.216042, 35.650821, 221.066281]]
### 4
mean: [5.865631, -2.399652, 6.215761, -3.259730, -0.638511, -1.560165]
std: [4.884529, 1.542704, 5.228691, 2.341180, 0.174336, 0.979923]
pca: [[0.630951, 0.545669, -0.080819, -0.513888, 0.162468, 0.084486, 0.000000, 0.000000, 0.000000, 0.000000], [-0.199076, -0.009294, 0.874718, -0.373686, -0.060875, 0.227606, 0.000000, 0.000000, 0.000000, 0.000000], [0.676917, -0.135899, 0.367974, 0.498261, -0.358494, -0.105487, 0.000000, 0.000000, 0.000000, 0.000000], [-0.297626, 0.715343, 0.151918, 0.211186, -0.227985, -0.529195, 0.000000, 0.000000, 0.000000, 0.000000], [-0.006322, 0.265594, 0.192690, 0.523543, 0.719602, 0.316807, 0.000000, 0.000000, 0.000000, 0.000000], [-0.124227, 0.318487, -0.180897, 0.171223, -0.521130, 0.741294, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[78.080879, 79.038588, 80.556382, 85.761244, 527.906765], [23.424061, 26.096769, 26.559685, 27.427707, 215.968655], [81.258437, 82.706346, 87.841882, 94.612775, 559.418480], [36.904529, 41.086452, 42.975914, 43.484287, 293.375721], [2.686714, 3.081517, 3.082241, 3.247469, 57.465966], [15.063365, 17.319398, 17.567798, 18.515638, 140.414854]]
### 6
mean: [-3.327648, 7.361033, -5.560495, -1.124771, -0.573328, 5.991275]
std: [2.417097, 5.896900, 3.933521, 0.754306, 0.073844, 4.787895]
pca: [[-0.270839, 0.673202, 0.304761, -0.311161, -0.029771, 0.531845, 0.000000, 0.000000, 0.000000, 0.000000], [0.661051, 0.002891, 0.723411, -0.125223, 0.018883, -0.153762, 0.000000, 0.000000, 0.000000, 0.000000], [-0.440951, -0.111823, 0.532645, 0.707647, -0.090291, 0.020734, 0.000000, 0.000000, 0.000000, 0.000000], [-0.084436, -0.379176, 0.115028, -0.103032, 0.835126, 0.357511, 0.000000, 0.000000, 0.000000, 0.000000], [-0.004090, -0.598405, 0.089427, -0.248955, -0.541249, 0.528174, 0.000000, 0.000000, 0.000000, 0.000000], [0.536725, 0.180066, -0.280817, 0.560481, 0.014795, 0.535057, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.891952, 38.237236, 40.846836, 43.872864, 299.488294], [91.371395, 94.533033, 98.287376, 104.727929, 662.492969], [60.948753, 63.139793, 65.467824, 69.701985, 500.444647], [11.888781, 12.229872, 12.362447, 12.846820, 101.229438], [1.100341, 1.165254, 1.211030, 1.436272, 51.599544], [74.186767, 76.886650, 79.649465, 84.778455, 539.214805]]
### 8
mean: [-6.859602, -1.333442, 9.704690, 5.022476, 2.434217, -6.368241]
std: [5.370753, 0.580371, 7.923508, 4.072802, 1.987889, 4.970034]
pca: [[-0.458512, 0.302488, 0.649087, -0.067848, 0.065979, -0.517685, 0.000000, 0.000000, 0.000000, 0.000000], [-0.049547, 0.111247, -0.135620, 0.687942, 0.699751, -0.062137, 0.000000, 0.000000, 0.000000, 0.000000], [0.676446, 0.089822, 0.635221, 0.283281, -0.104061, 0.199424, 0.000000, 0.000000, 0.000000, 0.000000], [0.347704, 0.782274, -0.246437, -0.386321, 0.225142, -0.080534, 0.000000, 0.000000, 0.000000, 0.000000], [0.169710, -0.455327, 0.223606, -0.534145, 0.654418, 0.017410, 0.000000, 0.000000, 0.000000, 0.000000], [-0.424302, 0.262264, 0.214610, -0.085616, 0.127337, 0.825580, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[83.187929, 86.218614, 89.407024, 95.213529, 617.364178], [8.991503, 9.298182, 9.681153, 10.320686, 120.009746], [122.733629, 127.146394, 131.958291, 140.558529, 873.422096], [63.082574, 65.393731, 67.787738, 72.183506, 452.022840], [30.794960, 31.872982, 33.133894, 35.308424, 219.079511], [76.982299, 79.775735, 82.746831, 88.126552, 573.141705]]
### 10
mean: [-2.761648, -4.995579, 9.038983, 6.039488, 7.012773, 10.712657]
std: [2.143089, 3.754230, 7.070268, 4.933829, 5.687096, 8.847870]
pca: [[-0.150176, 0.184945, 0.721230, -0.327913, 0.557970, -0.064902, 0.000000, 0.000000, 0.000000, 0.000000], [-0.263077, 0.113514, 0.078558, 0.804015, 0.310350, 0.411067, 0.000000, 0.000000, 0.000000, 0.000000], [0.495447, -0.197624, 0.451309, 0.471720, -0.166761, -0.511340, 0.000000, 0.000000, 0.000000, 0.000000], [0.345737, 0.450230, -0.474270, 0.071857, 0.555754, -0.372561, 0.000000, 0.000000, 0.000000, 0.000000], [0.398522, 0.709310, 0.210909, -0.040479, -0.379523, 0.384578, 0.000000, 0.000000, 0.000000, 0.000000], [0.620013, -0.456100, -0.023711, -0.129273, 0.334130, 0.527864, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.200313, 34.426074, 35.705824, 38.069739, 248.548353], [58.074161, 60.328742, 62.513041, 66.624463, 449.602076], [109.373429, 113.617660, 117.728783, 125.471854, 813.508501], [76.341141, 79.277615, 82.164751, 87.575575, 543.553909], [87.990731, 91.383663, 94.705944, 100.940474, 631.149628], [136.905304, 142.194569, 147.325253, 157.018292, 964.139116]]
### 12
mean: [-13.205359]
std: [10.897509]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[169.056914, 175.227450, 181.461493, 193.464726, 1188.482298]]
## 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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"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": [[0.607253, 0.239128, -0.012761, -0.105781, -0.223486], [0.238516, 0.384942, 0.474691, 0.356017, -0.29165], [0.672007, 0.475789, -0.014846, 0.44064, -0.492948], [-0.600693, 0.130257, 0.068722, 0.071879, 0.282927], [-0.201173, -0.4394, -0.041756, -0.310164, -0.384697], [-0.624351, 0.143061, 0.045192, 0.056552, 0.674529]], "network.0.bias": [0.064291, 0.031576, 0.464816, -0.285546, -0.020938, -0.358037], "network.2.weight": [[-0.149036, -0.445742, -0.234986, -0.227587, -0.106075, 0.058823], [-0.090203, 0.13492, -0.463945, -0.059013, -0.403627, 0.708843], [-0.515841, -0.514513, 0.178002, 0.129952, -0.109878, -0.31599], [0.565372, 0.478616, 0.186215, -0.229797, -0.160578, -0.693599], [0.459837, 0.477313, 0.924106, -0.156843, -0.132932, -0.58025], [0.309056, 0.259576, 0.515597, -0.024494, -0.195298, -0.459494]], "network.2.bias": [-0.321453, 0.33692, -0.097373, 0.383448, 0.359562, 0.555637], "network.4.weight": [[0.047363, -0.722344, -0.304563, 0.488392, 0.602312, 0.864229], [-0.41144, 0.090933, 0.138291, 0.14944, -0.396309, -0.245387], [0.071499, -0.175053, 0.005248, 0.792221, 0.769751, 0.604642], [0.246101, -0.4848, 0.078619, -0.298308, -0.522171, -0.136407], [-0.697788, -0.230274, -0.124834, 0.044938, -0.071959, -0.001375], [-0.047613, -0.217966, 0.037058, -0.221162, -0.18033, -0.032159]], "network.4.bias": [0.55099, -0.584851, 0.006899, -0.00961, -0.354727, -0.196849], "network.6.weight": [[0.050891, -0.045501, -0.513793, -0.450174, 0.072648, -0.016816], [0.71806, -0.136265, 0.489683, -0.248719, 0.651302, -0.007163], [-0.535368, -0.044068, -0.275468, 0.015254, 0.162762, -0.172382], [-0.285528, 0.093588, 0.113335, -0.309107, 0.156589, -0.007869], [-0.310614, -0.3541, 0.274818, -0.28812, -0.087986, -0.211901], [0.674298, -0.152375, 0.314747, 0.301319, 0.441141, 0.106238]], "network.6.bias": [-0.414798, -0.01932, -0.619331, -0.119768, -0.429219, -0.030387], "network.8.weight": [[0.089172, -0.322085, -0.031263, 0.228932, -0.281999, -0.725955], [-0.205571, -0.139604, 0.215834, -0.045372, 0.390731, 0.050687], [-0.092136, 0.769607, 0.118217, 0.129739, -0.044636, 0.708202], [0.357792, 0.179215, -0.406235, -0.361306, -0.138436, 0.630645], [0.425927, 0.339471, 0.281718, -0.217449, 0.096454, -0.002704], [-0.105695, -0.354143, -0.358102, 0.012283, -0.216623, -0.602677]], "network.8.bias": [-0.135874, -0.609353, -0.207896, -0.077867, -0.04923, -0.147508], "network.10.weight": [[-0.045052, 0.273752, -0.276053, 0.161428, -0.313084, 0.31371], [-0.207396, 0.106047, -0.302509, -0.296331, -0.082541, -0.151712], [0.163924, -0.289702, 0.606776, 0.524045, 0.077515, -0.539027], [0.062552, -0.190983, 0.419843, 0.26246, 0.28005, -0.401787], [0.086857, -0.067649, 0.482758, 0.337458, 0.255905, 0.387898], [-0.058248, -0.000865, 1.050218, 0.354944, -0.44526, -0.248447]], "network.10.bias": [-0.123931, -0.359584, 0.308851, -0.04971, -0.007065, -0.205608], "network.12.weight": [[0.172149, 0.009965, -0.136918, -0.315783, -0.652173, -0.529153]], "network.12.bias": [0.19737]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7222639620304108, "train_acc": 0.44, "val_loss": 0.6999936103820801, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6986461281776428, "train_acc": 0.44, "val_loss": 0.6900612711906433, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6882675290107727, "train_acc": 0.56, "val_loss": 0.6904202103614807, "val_acc": 0.54}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6763326823711395, "train_acc": 0.56, "val_loss": 0.65838223695755, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6342053413391113, "train_acc": 0.49, "val_loss": 0.48678019642829895, "val_acc": 0.54}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.47279655933380127, "train_acc": 0.65, "val_loss": 0.43919944763183594, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4348306506872177, "train_acc": 0.855, "val_loss": 0.45693686604499817, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3835013806819916, "train_acc": 0.88, "val_loss": 0.4036334156990051, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4112484008073807, "train_acc": 0.83, "val_loss": 0.45005229115486145, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.41013292968273163, "train_acc": 0.83, "val_loss": 0.45365846157073975, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.45372411608695984, "train_acc": 0.79, "val_loss": 0.4817843735218048, "val_acc": 0.74}], "summary": {"total_epochs": 11, "degraded_epochs": 4, "improved_epochs": 7, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6999936103820801, "final_val_loss": 0.65838223695755, "initial_val_acc": 0.46, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.48678019642829895, "final_val_loss": 0.4817843735218048, "initial_val_acc": 0.54, "final_val_acc": 0.74, "best_val_acc": 0.8, "best_epoch": 5}, "improvement": 0.26, "first_improvement_epoch": 3}}
|
9,616
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.7, "improved_accuracy": 0.94, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3744, "learning_rate": 0.04909429329242835, "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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"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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}
## Activation Signature
### 0
mean: [-0.962219, 1.317564, 0.181674, 0.061695, 0.724593, -0.802783, 0.329538, 0.079508]
std: [0.806528, 1.544049, 0.515373, 0.853811, 1.402320, 1.338261, 1.151429, 0.771685]
pca: [[-0.143865, -0.148985, -0.301716, 0.703807, 0.100992, 0.513242, -0.268226, 0.158645, 0.000000, 0.000000], [0.593269, 0.387115, 0.445772, -0.012773, 0.096476, 0.505556, -0.137867, -0.124077, 0.000000, 0.000000], [-0.059439, 0.199321, 0.329966, 0.057451, 0.006417, -0.198843, -0.154586, 0.883789, 0.000000, 0.000000], [0.275256, 0.221426, -0.026726, 0.526139, 0.491903, -0.489995, 0.320539, -0.113399, 0.000000, 0.000000], [-0.454626, -0.333937, 0.710266, 0.123651, 0.266602, 0.134141, 0.215777, -0.162494, 0.000000, 0.000000], [-0.377742, 0.624077, -0.048300, 0.129221, -0.342060, 0.218951, 0.532662, -0.011605, 0.000000, 0.000000], [0.391830, -0.451572, -0.096927, -0.051274, -0.073769, 0.250111, 0.667846, 0.341340, 0.000000, 0.000000], [-0.212441, 0.185160, -0.290616, -0.435607, 0.738214, 0.269950, 0.078094, 0.149808, 0.000000, 0.000000]]
fourier: [[13.235037, 13.353809, 13.918102, 14.232330, 86.599694], [25.037441, 25.439242, 25.627824, 28.770644, 118.580810], [7.428546, 7.624856, 8.426056, 10.841277, 16.350671], [11.598901, 12.941021, 13.840066, 15.731347, 15.951838], [20.585661, 21.151557, 22.751467, 23.719278, 65.213368], [20.931292, 23.625309, 26.770407, 27.878574, 72.250465], [18.544001, 21.131234, 21.717042, 25.549581, 29.658437], [11.734741, 11.776923, 12.699190, 12.987425, 13.170423]]
### 2
mean: [0.123158, -0.522231, 0.909542, 0.140792, 0.115744, 0.019091, -0.665141, -0.362275]
std: [0.919391, 0.365186, 0.536367, 1.347145, 0.520885, 0.840589, 0.286623, 0.635427]
pca: [[-0.467249, -0.000745, 0.235210, -0.109012, 0.442109, -0.369788, -0.569483, 0.240741, 0.000000, 0.000000], [0.162168, -0.248816, 0.002506, 0.320898, -0.078368, 0.552803, -0.355549, 0.608821, 0.000000, 0.000000], [0.032511, 0.671179, -0.603212, -0.151187, 0.240251, 0.245748, -0.205854, 0.035384, 0.000000, 0.000000], [0.688681, -0.030400, 0.073191, -0.526674, 0.102105, -0.305183, 0.000791, 0.372142, 0.000000, 0.000000], [-0.259537, 0.125425, -0.136227, 0.220288, 0.167847, -0.220168, 0.641735, 0.601128, 0.000000, 0.000000], [0.416213, -0.127726, -0.226394, 0.646606, 0.419590, -0.332409, -0.105175, -0.208534, 0.000000, 0.000000], [-0.047421, -0.387184, -0.009188, -0.275825, 0.690459, 0.444571, 0.269033, -0.157861, 0.000000, 0.000000], [0.192874, 0.552022, 0.711022, 0.205408, 0.222016, 0.218001, 0.107859, -0.043340, 0.000000, 0.000000]]
fourier: [[13.996366, 15.859867, 16.046702, 16.352754, 17.829093], [6.062793, 6.169574, 6.320658, 7.476869, 47.000801], [8.015835, 8.255485, 8.275189, 10.249603, 81.858760], [20.498958, 21.344320, 23.638381, 24.356868, 24.728988], [8.051280, 8.999391, 9.306007, 9.429402, 10.417004], [14.448608, 14.557414, 14.734391, 14.879710, 16.277901], [4.363861, 4.686669, 5.053664, 5.362396, 59.862674], [10.138856, 10.300649, 11.989589, 12.249838, 32.604711]]
### 4
mean: [-0.180286, -0.123108, 0.142389, 0.665357, -0.253885, 0.556481, 0.689048, 0.229478]
std: [0.393685, 0.194791, 0.267450, 0.693934, 0.170111, 0.635431, 0.663224, 0.516672]
pca: [[-0.273350, -0.400570, 0.397385, 0.675891, -0.132175, 0.045728, -0.197567, 0.302467, 0.000000, 0.000000], [0.119796, -0.242177, 0.421478, -0.520883, -0.010695, 0.556516, -0.407930, 0.042493, 0.000000, 0.000000], [0.155690, 0.417837, 0.696010, -0.044152, 0.231429, -0.497814, -0.114109, -0.019845, 0.000000, 0.000000], [0.521528, -0.197938, -0.269310, 0.024421, -0.335187, -0.406433, -0.579801, 0.044691, 0.000000, 0.000000], [0.067764, 0.441468, -0.200464, 0.011072, 0.144700, 0.176702, -0.139740, 0.829769, 0.000000, 0.000000], [0.467998, 0.424959, 0.121151, 0.415465, -0.347697, 0.463048, 0.093265, -0.262856, 0.000000, 0.000000], [0.492546, -0.378980, 0.192837, -0.127950, -0.114822, -0.097387, 0.639719, 0.358199, 0.000000, 0.000000], [0.385335, -0.219127, -0.124233, 0.283198, 0.813320, 0.141670, -0.088904, -0.135650, 0.000000, 0.000000]]
fourier: [[6.355934, 6.652418, 6.926619, 8.408528, 16.225740], [2.734104, 2.825825, 3.295959, 3.301266, 11.079740], [4.347094, 5.099340, 5.726233, 6.003086, 12.814989], [10.729303, 10.755022, 11.920513, 13.586691, 59.882092], [2.859085, 2.967335, 2.987427, 3.201019, 22.849646], [10.459892, 11.363433, 11.581411, 11.801436, 50.083321], [10.087235, 10.868365, 11.362498, 12.066658, 62.014291], [8.034501, 8.038697, 9.041381, 10.375064, 20.653012]]
### 6
mean: [0.998037, -0.421569, -0.122738, -0.444838, 0.693836, -0.363237, 1.416288, -0.434143]
std: [1.056743, 0.237134, 0.763469, 0.750223, 0.690356, 0.448838, 1.259006, 1.029880]
pca: [[0.445192, -0.007632, 0.663249, 0.252509, 0.330057, -0.113878, -0.070630, -0.413752, 0.000000, 0.000000], [-0.095760, 0.674717, -0.085016, -0.183450, -0.310683, -0.354226, -0.209663, -0.478275, 0.000000, 0.000000], [-0.321308, 0.407436, 0.021208, 0.011078, 0.725968, -0.290207, 0.104389, 0.328689, 0.000000, 0.000000], [-0.315899, -0.130718, 0.622085, -0.253162, -0.381948, -0.362539, 0.305133, 0.248223, 0.000000, 0.000000], [0.290290, 0.466806, 0.001720, 0.203566, -0.166393, 0.293295, 0.730831, 0.092514, 0.000000, 0.000000], [-0.188827, -0.012831, -0.066224, 0.880606, -0.251167, -0.301782, -0.114535, 0.130581, 0.000000, 0.000000], [0.530523, 0.261393, 0.103835, -0.097764, -0.166031, -0.071003, -0.440400, 0.635074, 0.000000, 0.000000], [-0.433848, 0.274242, 0.387637, 0.109120, -0.057326, 0.681003, -0.325369, 0.038486, 0.000000, 0.000000]]
fourier: [[16.149320, 16.750909, 18.541181, 19.126600, 89.823367], [3.698363, 3.739675, 3.805430, 4.703074, 37.941217], [11.506649, 11.706444, 12.307926, 13.271700, 13.684358], [11.147226, 12.083433, 13.021500, 13.105779, 40.035425], [10.482857, 10.869892, 11.798771, 12.688610, 62.445275], [6.691969, 7.058346, 7.898449, 8.021608, 32.691326], [19.033587, 20.022548, 21.893235, 22.707157, 127.465878], [15.569295, 16.637383, 17.908282, 18.186723, 39.072831]]
### 8
mean: [-1.552440]
std: [1.898181]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.743334, 30.144447, 33.873126, 34.924970, 139.719596]]
## 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:
{
"network.0.weight": [
[
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0.05361
],
[
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],
[
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],
[
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],
[
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],
[
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-0.141784,
-0.563069
],
[
0.373085,
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-0.148195,
0.019062,
0.449591
],
[
-0.36454,
0.172007,
0.259584,
-0.14533,
-0.027496
]
],
"network.0.bias": [
0.165078,
0.543334,
0.047516,
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0.462811,
-0.131419,
-0.06125,
0.023044
],
"network.2.weight": [
[
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0.285324,
0.394375,
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],
[
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0.034846,
0.054969,
0.196163,
-0.192189,
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],
[
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0.327293,
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],
[
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0.30685,
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],
[
0.043445,
0.25776,
0.185769,
0.137682,
-0.080877,
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],
[
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0.237825,
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0.227425,
0.154532,
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],
[
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[
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0.225589,
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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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0.315582,
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0.235206,
-0.190847,
0.147054
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[
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0.182676,
0.457536,
-0.069027,
0.013829,
0.31207,
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],
"network.4.bias": [
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0.189954,
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],
"network.6.weight": [
[
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[
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0.128733
],
[
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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": [
-0.074755
]
}
## Activation Signature
### 0
mean: [-0.962219, 1.317564, 0.181674, 0.061695, 0.724593, -0.802783, 0.329538, 0.079508]
std: [0.806528, 1.544049, 0.515373, 0.853811, 1.402320, 1.338261, 1.151429, 0.771685]
pca: [[-0.143865, -0.148985, -0.301716, 0.703807, 0.100992, 0.513242, -0.268226, 0.158645, 0.000000, 0.000000], [0.593269, 0.387115, 0.445772, -0.012773, 0.096476, 0.505556, -0.137867, -0.124077, 0.000000, 0.000000], [-0.059439, 0.199321, 0.329966, 0.057451, 0.006417, -0.198843, -0.154586, 0.883789, 0.000000, 0.000000], [0.275256, 0.221426, -0.026726, 0.526139, 0.491903, -0.489995, 0.320539, -0.113399, 0.000000, 0.000000], [-0.454626, -0.333937, 0.710266, 0.123651, 0.266602, 0.134141, 0.215777, -0.162494, 0.000000, 0.000000], [-0.377742, 0.624077, -0.048300, 0.129221, -0.342060, 0.218951, 0.532662, -0.011605, 0.000000, 0.000000], [0.391830, -0.451572, -0.096927, -0.051274, -0.073769, 0.250111, 0.667846, 0.341340, 0.000000, 0.000000], [-0.212441, 0.185160, -0.290616, -0.435607, 0.738214, 0.269950, 0.078094, 0.149808, 0.000000, 0.000000]]
fourier: [[13.235037, 13.353809, 13.918102, 14.232330, 86.599694], [25.037441, 25.439242, 25.627824, 28.770644, 118.580810], [7.428546, 7.624856, 8.426056, 10.841277, 16.350671], [11.598901, 12.941021, 13.840066, 15.731347, 15.951838], [20.585661, 21.151557, 22.751467, 23.719278, 65.213368], [20.931292, 23.625309, 26.770407, 27.878574, 72.250465], [18.544001, 21.131234, 21.717042, 25.549581, 29.658437], [11.734741, 11.776923, 12.699190, 12.987425, 13.170423]]
### 2
mean: [0.123158, -0.522231, 0.909542, 0.140792, 0.115744, 0.019091, -0.665141, -0.362275]
std: [0.919391, 0.365186, 0.536367, 1.347145, 0.520885, 0.840589, 0.286623, 0.635427]
pca: [[-0.467249, -0.000745, 0.235210, -0.109012, 0.442109, -0.369788, -0.569483, 0.240741, 0.000000, 0.000000], [0.162168, -0.248816, 0.002506, 0.320898, -0.078368, 0.552803, -0.355549, 0.608821, 0.000000, 0.000000], [0.032511, 0.671179, -0.603212, -0.151187, 0.240251, 0.245748, -0.205854, 0.035384, 0.000000, 0.000000], [0.688681, -0.030400, 0.073191, -0.526674, 0.102105, -0.305183, 0.000791, 0.372142, 0.000000, 0.000000], [-0.259537, 0.125425, -0.136227, 0.220288, 0.167847, -0.220168, 0.641735, 0.601128, 0.000000, 0.000000], [0.416213, -0.127726, -0.226394, 0.646606, 0.419590, -0.332409, -0.105175, -0.208534, 0.000000, 0.000000], [-0.047421, -0.387184, -0.009188, -0.275825, 0.690459, 0.444571, 0.269033, -0.157861, 0.000000, 0.000000], [0.192874, 0.552022, 0.711022, 0.205408, 0.222016, 0.218001, 0.107859, -0.043340, 0.000000, 0.000000]]
fourier: [[13.996366, 15.859867, 16.046702, 16.352754, 17.829093], [6.062793, 6.169574, 6.320658, 7.476869, 47.000801], [8.015835, 8.255485, 8.275189, 10.249603, 81.858760], [20.498958, 21.344320, 23.638381, 24.356868, 24.728988], [8.051280, 8.999391, 9.306007, 9.429402, 10.417004], [14.448608, 14.557414, 14.734391, 14.879710, 16.277901], [4.363861, 4.686669, 5.053664, 5.362396, 59.862674], [10.138856, 10.300649, 11.989589, 12.249838, 32.604711]]
### 4
mean: [-0.180286, -0.123108, 0.142389, 0.665357, -0.253885, 0.556481, 0.689048, 0.229478]
std: [0.393685, 0.194791, 0.267450, 0.693934, 0.170111, 0.635431, 0.663224, 0.516672]
pca: [[-0.273350, -0.400570, 0.397385, 0.675891, -0.132175, 0.045728, -0.197567, 0.302467, 0.000000, 0.000000], [0.119796, -0.242177, 0.421478, -0.520883, -0.010695, 0.556516, -0.407930, 0.042493, 0.000000, 0.000000], [0.155690, 0.417837, 0.696010, -0.044152, 0.231429, -0.497814, -0.114109, -0.019845, 0.000000, 0.000000], [0.521528, -0.197938, -0.269310, 0.024421, -0.335187, -0.406433, -0.579801, 0.044691, 0.000000, 0.000000], [0.067764, 0.441468, -0.200464, 0.011072, 0.144700, 0.176702, -0.139740, 0.829769, 0.000000, 0.000000], [0.467998, 0.424959, 0.121151, 0.415465, -0.347697, 0.463048, 0.093265, -0.262856, 0.000000, 0.000000], [0.492546, -0.378980, 0.192837, -0.127950, -0.114822, -0.097387, 0.639719, 0.358199, 0.000000, 0.000000], [0.385335, -0.219127, -0.124233, 0.283198, 0.813320, 0.141670, -0.088904, -0.135650, 0.000000, 0.000000]]
fourier: [[6.355934, 6.652418, 6.926619, 8.408528, 16.225740], [2.734104, 2.825825, 3.295959, 3.301266, 11.079740], [4.347094, 5.099340, 5.726233, 6.003086, 12.814989], [10.729303, 10.755022, 11.920513, 13.586691, 59.882092], [2.859085, 2.967335, 2.987427, 3.201019, 22.849646], [10.459892, 11.363433, 11.581411, 11.801436, 50.083321], [10.087235, 10.868365, 11.362498, 12.066658, 62.014291], [8.034501, 8.038697, 9.041381, 10.375064, 20.653012]]
### 6
mean: [0.998037, -0.421569, -0.122738, -0.444838, 0.693836, -0.363237, 1.416288, -0.434143]
std: [1.056743, 0.237134, 0.763469, 0.750223, 0.690356, 0.448838, 1.259006, 1.029880]
pca: [[0.445192, -0.007632, 0.663249, 0.252509, 0.330057, -0.113878, -0.070630, -0.413752, 0.000000, 0.000000], [-0.095760, 0.674717, -0.085016, -0.183450, -0.310683, -0.354226, -0.209663, -0.478275, 0.000000, 0.000000], [-0.321308, 0.407436, 0.021208, 0.011078, 0.725968, -0.290207, 0.104389, 0.328689, 0.000000, 0.000000], [-0.315899, -0.130718, 0.622085, -0.253162, -0.381948, -0.362539, 0.305133, 0.248223, 0.000000, 0.000000], [0.290290, 0.466806, 0.001720, 0.203566, -0.166393, 0.293295, 0.730831, 0.092514, 0.000000, 0.000000], [-0.188827, -0.012831, -0.066224, 0.880606, -0.251167, -0.301782, -0.114535, 0.130581, 0.000000, 0.000000], [0.530523, 0.261393, 0.103835, -0.097764, -0.166031, -0.071003, -0.440400, 0.635074, 0.000000, 0.000000], [-0.433848, 0.274242, 0.387637, 0.109120, -0.057326, 0.681003, -0.325369, 0.038486, 0.000000, 0.000000]]
fourier: [[16.149320, 16.750909, 18.541181, 19.126600, 89.823367], [3.698363, 3.739675, 3.805430, 4.703074, 37.941217], [11.506649, 11.706444, 12.307926, 13.271700, 13.684358], [11.147226, 12.083433, 13.021500, 13.105779, 40.035425], [10.482857, 10.869892, 11.798771, 12.688610, 62.445275], [6.691969, 7.058346, 7.898449, 8.021608, 32.691326], [19.033587, 20.022548, 21.893235, 22.707157, 127.465878], [15.569295, 16.637383, 17.908282, 18.186723, 39.072831]]
### 8
mean: [-1.552440]
std: [1.898181]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.743334, 30.144447, 33.873126, 34.924970, 139.719596]]
## 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": [[-0.132392, -0.135923, -0.270097, -0.101089, 0.05361], [0.667125, 0.274434, -0.076391, -0.101295, -0.145342], [0.012802, 0.113666, -0.001418, 0.092847, -0.231114], [0.291727, 0.153254, -0.243891, -0.228632, -0.062192], [-0.299346, -0.101355, -0.128454, 0.559375, -0.090997], [-0.358898, 0.206414, 0.190356, -0.141784, -0.563069], [0.373085, -0.197181, -0.148195, 0.019062, 0.449591], [-0.36454, 0.172007, 0.259584, -0.14533, -0.027496]], "network.0.bias": [0.165078, 0.543334, 0.047516, 0.495848, 0.462811, -0.131419, -0.06125, 0.023044], "network.2.weight": [[0.225282, 0.285324, 0.394375, 0.049392, -0.477071, -0.205402, 0.076084, -0.439369], [0.34437, -0.157503, -0.253567, 0.034846, 0.054969, 0.196163, -0.192189, -0.07818], [-0.017352, 0.327293, -0.050687, -0.179259, 0.532266, 0.115582, 0.102505, 0.500493], [-0.310251, -0.637429, 0.30685, -0.406373, 0.324735, 0.310889, 0.239084, 0.271551], [0.043445, 0.25776, 0.185769, 0.137682, -0.080877, -0.389135, -0.02299, 0.084585], [-0.573592, -0.352648, 0.237825, -0.096302, 0.227425, 0.154532, -0.191401, -0.016868], [0.42334, 0.016341, 0.165601, -0.281707, -0.290105, -0.007369, -0.114914, -0.032121], [-0.058529, -0.160173, -0.163593, -0.263778, 0.225589, -0.24818, 0.273085, -0.469808]], "network.2.bias": [0.191969, -0.200964, -0.092358, 0.465814, -0.188039, 0.280888, -0.289569, -0.284814], "network.4.weight": [[0.645362, 0.294807, -0.06642, 0.075966, -0.091008, 0.090003, -0.014351, -0.399699], [-0.161266, 0.066402, 0.312144, 0.006244, -0.025565, 0.014352, 0.157659, -0.13877], [-0.416612, -0.43707, -0.070142, -0.122693, 0.20997, 0.495311, 0.014874, -0.282], [-0.439062, -0.602111, 0.26807, 0.306186, -0.278979, 0.230762, 0.043517, 0.421237], [-0.201938, -0.222521, -0.156806, -0.035442, -0.024543, 0.00526, -0.037989, 0.042815], [-0.388059, -0.407007, -0.006034, 0.227344, -0.450264, 0.430024, -0.429238, -0.066809], [-0.435197, -0.320058, 0.406273, 0.315582, -0.179159, 0.235206, -0.190847, 0.147054], [-0.340229, -0.551847, 0.182676, 0.457536, -0.069027, 0.013829, 0.31207, 0.039041]], "network.4.bias": [-0.33913, -0.290959, 0.189954, 0.360604, -0.081105, 0.422599, 0.251695, -0.052796], "network.6.weight": [[-0.395087, -0.210978, 0.480393, 0.475721, -0.062516, 0.648656, 0.543046, 0.220637], [-0.158583, -0.298991, -0.243916, 0.005543, -0.074078, -0.598574, 0.009392, 0.128733], [0.014543, -0.238517, -0.442918, 0.017607, -0.564727, -0.694423, -0.466819, -0.364214], [0.197173, -0.621421, -0.203572, -0.225345, -0.083341, -0.432418, -0.492111, -0.110734], [-0.375199, 0.085596, 0.111019, 0.260321, 0.174226, 0.14407, 0.494387, 0.287527], [-0.077562, -0.160036, -0.104627, -0.418844, -0.314222, -0.354201, -0.06577, 0.011352], [-0.40954, 0.174866, 0.511063, 0.543149, 0.084529, 0.619223, 0.633166, 0.473293], [0.045447, -0.414983, -0.689762, -0.290717, -0.418253, -0.690282, -0.570939, -0.317994]], "network.6.bias": [-0.08711, -0.145666, 0.583921, 0.238267, 0.090079, 0.088471, 0.217595, 0.545364], "network.8.weight": [[-0.709898, -0.076613, 0.602344, 0.506234, -0.371533, 0.055763, -0.49634, 0.396868]], "network.8.bias": [-0.074755]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6715767979621887, "train_acc": 0.57, "val_loss": 0.6163941025733948, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5489694476127625, "train_acc": 0.665, "val_loss": 0.5095369815826416, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.4853210300207138, "train_acc": 0.795, "val_loss": 0.48062628507614136, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4143022447824478, "train_acc": 0.88, "val_loss": 0.26931875944137573, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.2561018466949463, "train_acc": 0.915, "val_loss": 0.21491383016109467, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.18233303725719452, "train_acc": 0.935, "val_loss": 0.22392123937606812, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.18416614830493927, "train_acc": 0.94, "val_loss": 0.24525539577007294, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.24621249735355377, "train_acc": 0.94, "val_loss": 0.21508102118968964, "val_acc": 0.94}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6163941025733948, "final_val_loss": 0.5095369815826416, "initial_val_acc": 0.52, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.48062628507614136, "final_val_loss": 0.21508102118968964, "initial_val_acc": 0.82, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 3}, "improvement": 0.24, "first_improvement_epoch": 1}}
|
9,617
|
{"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": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1182, "learning_rate": 0.07187337945433422, "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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"network.12.weight": [
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [0.044501, 1.170561, -0.214352, -2.622478, 0.843562, 2.251857, -2.402262]
std: [2.374988, 2.790283, 2.170619, 1.396110, 2.292183, 3.332356, 1.717492]
pca: [[-0.429964, -0.041885, -0.194387, 0.360913, 0.463256, -0.227919, 0.615450, 0.000000, 0.000000, 0.000000], [0.373050, 0.831783, -0.121856, 0.204241, 0.127418, 0.264942, 0.161175, 0.000000, 0.000000, 0.000000], [-0.385083, 0.021101, -0.312098, 0.083452, 0.456344, 0.416318, -0.604423, 0.000000, 0.000000, 0.000000], [-0.173600, -0.001162, 0.429796, -0.554433, 0.235848, 0.539623, 0.361835, 0.000000, 0.000000, 0.000000], [0.351646, -0.444509, 0.254706, 0.617746, 0.045408, 0.473915, 0.074927, 0.000000, 0.000000, 0.000000], [0.605020, -0.237905, -0.175975, -0.305717, 0.630070, -0.234475, -0.030908, 0.000000, 0.000000, 0.000000], [-0.088512, 0.227483, 0.754581, 0.196454, 0.325937, -0.365748, -0.304012, 0.000000, 0.000000, 0.000000]]
fourier: [[36.791706, 39.088574, 40.135073, 40.285560, 45.758006], [46.573119, 46.745598, 47.171197, 68.460389, 105.350476], [34.402882, 34.656972, 36.148914, 36.191008, 41.275905], [22.470132, 22.668748, 23.704270, 28.335925, 236.022978], [34.550635, 35.555093, 36.366009, 39.183003, 75.920564], [51.145895, 54.062753, 59.172331, 59.822828, 202.667113], [25.331075, 27.651838, 29.263153, 34.173748, 216.203571]]
### 2
mean: [-3.556509, -1.546247, 4.175910, 0.064737, 2.110594, 3.791878, -1.636046]
std: [2.829581, 0.653346, 6.515875, 0.978282, 4.230155, 5.648777, 2.397802]
pca: [[-0.229806, 0.896010, -0.258813, 0.112950, 0.056558, -0.226677, 0.100164, 0.000000, 0.000000, 0.000000], [-0.045788, 0.255605, 0.085689, -0.000818, -0.005150, 0.961817, 0.010348, 0.000000, 0.000000, 0.000000], [0.639411, 0.103659, -0.469530, -0.138718, -0.574081, 0.042570, -0.096572, 0.000000, 0.000000, 0.000000], [0.088202, 0.018182, 0.314608, 0.868727, -0.370301, -0.030057, 0.014078, 0.000000, 0.000000, 0.000000], [0.405234, 0.332587, 0.762847, -0.348319, -0.043809, -0.137922, 0.031104, 0.000000, 0.000000, 0.000000], [0.555771, -0.015247, -0.152755, 0.249046, 0.601388, 0.042257, 0.492012, 0.000000, 0.000000, 0.000000], [-0.235310, -0.099552, 0.031088, -0.173096, -0.408039, 0.000914, 0.858657, 0.000000, 0.000000, 0.000000]]
fourier: [[48.414150, 52.075970, 52.574669, 54.696623, 320.085741], [11.189377, 11.223130, 12.884143, 14.123170, 139.162255], [109.033367, 120.655118, 124.266260, 132.334029, 375.831935], [13.840035, 13.955796, 15.818906, 16.538003, 18.390113], [69.652759, 70.351122, 76.240341, 90.637609, 189.953484], [93.509741, 103.058787, 106.174778, 111.004116, 341.268984], [39.686419, 43.690348, 45.129928, 49.942789, 147.244137]]
### 4
mean: [5.492700, -2.346523, -6.689357, 5.179450, -3.000543, -4.192002, 5.760816]
std: [6.864063, 1.735271, 7.603139, 6.391617, 3.438844, 4.971790, 7.430044]
pca: [[-0.443079, 0.182228, 0.078267, 0.226356, 0.384510, 0.751736, 0.012491, 0.000000, 0.000000, 0.000000], [0.109805, -0.445993, -0.216151, 0.020966, 0.737495, -0.194848, 0.400009, 0.000000, 0.000000, 0.000000], [0.490633, -0.239819, 0.777829, 0.188306, -0.008685, 0.211954, 0.127630, 0.000000, 0.000000, 0.000000], [-0.412573, -0.135788, 0.040253, 0.545696, -0.385118, -0.191280, 0.571872, 0.000000, 0.000000, 0.000000], [0.220618, -0.484605, -0.401174, 0.524554, -0.152488, 0.216939, -0.458338, 0.000000, 0.000000, 0.000000], [0.319379, 0.648898, -0.051218, 0.566586, 0.273834, -0.273402, -0.059595, 0.000000, 0.000000, 0.000000], [-0.479594, -0.189791, 0.420656, 0.137491, 0.248242, -0.440004, -0.531870, 0.000000, 0.000000, 0.000000]]
fourier: [[114.953970, 127.407847, 132.188137, 134.520194, 494.342980], [30.121405, 31.907965, 34.990266, 39.999907, 211.187099], [126.044371, 141.393684, 145.868845, 150.703553, 602.042155], [106.818373, 118.635623, 118.778135, 123.517973, 466.150519], [58.436932, 63.852376, 67.959253, 73.181420, 270.048882], [80.567855, 84.041723, 91.163877, 93.170756, 377.280194], [123.983318, 138.057688, 138.286816, 142.222655, 518.473408]]
### 6
mean: [8.086229, 3.949622, 3.282075, -8.546314, -6.474097, 4.263546, 8.242753]
std: [10.027724, 5.522720, 4.204717, 9.656833, 8.471918, 5.849338, 10.233424]
pca: [[0.471313, 0.298955, -0.048559, 0.352408, 0.493004, -0.307421, -0.473688, 0.000000, 0.000000, 0.000000], [0.259551, -0.454739, 0.323385, -0.024437, 0.616494, 0.371204, 0.320645, 0.000000, 0.000000, 0.000000], [0.197570, 0.640007, -0.073464, 0.117321, 0.042630, 0.017925, 0.728051, 0.000000, 0.000000, 0.000000], [-0.453870, 0.251599, 0.753685, 0.391302, 0.017600, 0.040695, -0.087044, 0.000000, 0.000000, 0.000000], [-0.398181, -0.075323, -0.547635, 0.593509, 0.190237, 0.383958, 0.002776, 0.000000, 0.000000, 0.000000], [0.274916, 0.340884, 0.058367, -0.163703, -0.192792, 0.786320, -0.350066, 0.000000, 0.000000, 0.000000], [0.480977, -0.330230, 0.127734, 0.573828, -0.548996, 0.000388, 0.112330, 0.000000, 0.000000, 0.000000]]
fourier: [[167.282317, 186.700683, 186.995444, 193.963722, 727.760657], [92.324483, 102.647116, 102.892700, 108.366732, 355.466015], [69.996309, 78.586619, 78.861612, 80.225146, 295.386756], [161.213608, 179.218174, 179.889272, 187.870094, 769.168187], [141.531700, 158.164591, 159.431121, 164.776386, 582.668723], [97.575811, 109.168079, 109.737026, 112.891456, 383.719076], [170.896376, 189.802104, 190.737407, 199.035502, 741.847786]]
### 8
mean: [8.118686, -15.085336, -11.708493, 9.204626, 12.033389, -4.313079, 2.322608]
std: [10.528736, 17.791250, 13.794348, 11.930962, 15.922821, 5.357379, 3.477410]
pca: [[-0.324259, 0.061177, 0.084217, 0.639777, -0.487288, -0.486999, -0.009463, 0.000000, 0.000000, 0.000000], [0.547922, -0.300565, 0.720640, 0.077596, 0.092415, -0.269538, 0.053918, 0.000000, 0.000000, 0.000000], [0.424831, -0.187587, -0.196714, 0.387064, -0.414328, 0.576737, 0.302525, 0.000000, 0.000000, 0.000000], [-0.367438, 0.301599, 0.602835, 0.202722, 0.076339, 0.579937, -0.165430, 0.000000, 0.000000, 0.000000], [-0.490377, -0.468519, 0.178855, -0.253494, -0.081982, 0.034767, 0.660183, 0.000000, 0.000000, 0.000000], [0.164951, 0.685192, 0.025007, 0.070786, 0.200891, -0.140304, 0.661532, 0.000000, 0.000000, 0.000000], [-0.107080, -0.301279, -0.197141, 0.569632, 0.727624, 0.018311, 0.068176, 0.000000, 0.000000, 0.000000]]
fourier: [[175.683342, 195.738240, 196.504639, 204.374036, 730.681662], [296.384226, 330.720981, 332.916024, 345.412689, 1357.680130], [229.857226, 255.907491, 257.943200, 267.301752, 1053.764523], [199.067966, 221.733197, 222.789104, 230.641496, 828.416302], [265.306697, 294.373901, 297.170243, 309.897744, 1083.004999], [89.137861, 98.097493, 99.642384, 105.342889, 388.177053], [57.915421, 64.368071, 64.753044, 68.397385, 209.034690]]
### 10
mean: [14.383173, 1.545475, -16.637083, -23.607750, 5.132227, -11.532063, 5.804079]
std: [19.300076, 2.696948, 22.605835, 31.809528, 6.955003, 15.572814, 7.982458]
pca: [[-0.406228, -0.490891, 0.453686, 0.528945, -0.225382, -0.199578, -0.133279, 0.000000, 0.000000, 0.000000], [-0.056747, 0.760885, 0.028328, 0.300449, -0.374452, -0.227123, -0.367372, 0.000000, 0.000000, 0.000000], [0.475809, 0.044187, -0.012588, 0.596146, 0.603025, -0.227041, 0.030316, 0.000000, 0.000000, 0.000000], [0.669529, -0.162225, 0.507084, -0.296097, -0.235324, -0.104209, -0.338186, 0.000000, 0.000000, 0.000000], [-0.146389, 0.126710, 0.290879, 0.071202, 0.344784, 0.744875, -0.446229, 0.000000, 0.000000, 0.000000], [0.327777, 0.035161, 0.023766, 0.386635, -0.469849, 0.525694, 0.494128, 0.000000, 0.000000, 0.000000], [-0.168013, 0.366768, 0.671490, -0.179802, 0.224361, -0.122411, 0.537311, 0.000000, 0.000000, 0.000000]]
fourier: [[320.932700, 357.228415, 361.797176, 374.449169, 1294.485548], [44.977194, 49.877649, 49.954467, 53.220882, 139.092718], [376.080270, 418.126375, 423.286822, 439.076959, 1497.337525], [528.965913, 587.983420, 595.713792, 618.195424, 2124.697704], [115.760021, 128.714741, 130.062450, 135.144421, 461.900458], [259.050628, 287.973528, 291.597453, 302.392207, 1037.885673], [133.034163, 147.977021, 149.001570, 155.307958, 522.367054]]
### 12
mean: [-5.705204]
std: [8.382380]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[140.393466, 156.632398, 157.133725, 162.312846, 513.468440]]
## 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:
{
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0.08852,
0.155251,
0.59193
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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.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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1.023853
]
],
"network.2.bias": [
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"network.4.weight": [
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[
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0.062509,
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[
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1.046689,
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0.212959
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[
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[
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1.109832,
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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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],
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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: [0.044501, 1.170561, -0.214352, -2.622478, 0.843562, 2.251857, -2.402262]
std: [2.374988, 2.790283, 2.170619, 1.396110, 2.292183, 3.332356, 1.717492]
pca: [[-0.429964, -0.041885, -0.194387, 0.360913, 0.463256, -0.227919, 0.615450, 0.000000, 0.000000, 0.000000], [0.373050, 0.831783, -0.121856, 0.204241, 0.127418, 0.264942, 0.161175, 0.000000, 0.000000, 0.000000], [-0.385083, 0.021101, -0.312098, 0.083452, 0.456344, 0.416318, -0.604423, 0.000000, 0.000000, 0.000000], [-0.173600, -0.001162, 0.429796, -0.554433, 0.235848, 0.539623, 0.361835, 0.000000, 0.000000, 0.000000], [0.351646, -0.444509, 0.254706, 0.617746, 0.045408, 0.473915, 0.074927, 0.000000, 0.000000, 0.000000], [0.605020, -0.237905, -0.175975, -0.305717, 0.630070, -0.234475, -0.030908, 0.000000, 0.000000, 0.000000], [-0.088512, 0.227483, 0.754581, 0.196454, 0.325937, -0.365748, -0.304012, 0.000000, 0.000000, 0.000000]]
fourier: [[36.791706, 39.088574, 40.135073, 40.285560, 45.758006], [46.573119, 46.745598, 47.171197, 68.460389, 105.350476], [34.402882, 34.656972, 36.148914, 36.191008, 41.275905], [22.470132, 22.668748, 23.704270, 28.335925, 236.022978], [34.550635, 35.555093, 36.366009, 39.183003, 75.920564], [51.145895, 54.062753, 59.172331, 59.822828, 202.667113], [25.331075, 27.651838, 29.263153, 34.173748, 216.203571]]
### 2
mean: [-3.556509, -1.546247, 4.175910, 0.064737, 2.110594, 3.791878, -1.636046]
std: [2.829581, 0.653346, 6.515875, 0.978282, 4.230155, 5.648777, 2.397802]
pca: [[-0.229806, 0.896010, -0.258813, 0.112950, 0.056558, -0.226677, 0.100164, 0.000000, 0.000000, 0.000000], [-0.045788, 0.255605, 0.085689, -0.000818, -0.005150, 0.961817, 0.010348, 0.000000, 0.000000, 0.000000], [0.639411, 0.103659, -0.469530, -0.138718, -0.574081, 0.042570, -0.096572, 0.000000, 0.000000, 0.000000], [0.088202, 0.018182, 0.314608, 0.868727, -0.370301, -0.030057, 0.014078, 0.000000, 0.000000, 0.000000], [0.405234, 0.332587, 0.762847, -0.348319, -0.043809, -0.137922, 0.031104, 0.000000, 0.000000, 0.000000], [0.555771, -0.015247, -0.152755, 0.249046, 0.601388, 0.042257, 0.492012, 0.000000, 0.000000, 0.000000], [-0.235310, -0.099552, 0.031088, -0.173096, -0.408039, 0.000914, 0.858657, 0.000000, 0.000000, 0.000000]]
fourier: [[48.414150, 52.075970, 52.574669, 54.696623, 320.085741], [11.189377, 11.223130, 12.884143, 14.123170, 139.162255], [109.033367, 120.655118, 124.266260, 132.334029, 375.831935], [13.840035, 13.955796, 15.818906, 16.538003, 18.390113], [69.652759, 70.351122, 76.240341, 90.637609, 189.953484], [93.509741, 103.058787, 106.174778, 111.004116, 341.268984], [39.686419, 43.690348, 45.129928, 49.942789, 147.244137]]
### 4
mean: [5.492700, -2.346523, -6.689357, 5.179450, -3.000543, -4.192002, 5.760816]
std: [6.864063, 1.735271, 7.603139, 6.391617, 3.438844, 4.971790, 7.430044]
pca: [[-0.443079, 0.182228, 0.078267, 0.226356, 0.384510, 0.751736, 0.012491, 0.000000, 0.000000, 0.000000], [0.109805, -0.445993, -0.216151, 0.020966, 0.737495, -0.194848, 0.400009, 0.000000, 0.000000, 0.000000], [0.490633, -0.239819, 0.777829, 0.188306, -0.008685, 0.211954, 0.127630, 0.000000, 0.000000, 0.000000], [-0.412573, -0.135788, 0.040253, 0.545696, -0.385118, -0.191280, 0.571872, 0.000000, 0.000000, 0.000000], [0.220618, -0.484605, -0.401174, 0.524554, -0.152488, 0.216939, -0.458338, 0.000000, 0.000000, 0.000000], [0.319379, 0.648898, -0.051218, 0.566586, 0.273834, -0.273402, -0.059595, 0.000000, 0.000000, 0.000000], [-0.479594, -0.189791, 0.420656, 0.137491, 0.248242, -0.440004, -0.531870, 0.000000, 0.000000, 0.000000]]
fourier: [[114.953970, 127.407847, 132.188137, 134.520194, 494.342980], [30.121405, 31.907965, 34.990266, 39.999907, 211.187099], [126.044371, 141.393684, 145.868845, 150.703553, 602.042155], [106.818373, 118.635623, 118.778135, 123.517973, 466.150519], [58.436932, 63.852376, 67.959253, 73.181420, 270.048882], [80.567855, 84.041723, 91.163877, 93.170756, 377.280194], [123.983318, 138.057688, 138.286816, 142.222655, 518.473408]]
### 6
mean: [8.086229, 3.949622, 3.282075, -8.546314, -6.474097, 4.263546, 8.242753]
std: [10.027724, 5.522720, 4.204717, 9.656833, 8.471918, 5.849338, 10.233424]
pca: [[0.471313, 0.298955, -0.048559, 0.352408, 0.493004, -0.307421, -0.473688, 0.000000, 0.000000, 0.000000], [0.259551, -0.454739, 0.323385, -0.024437, 0.616494, 0.371204, 0.320645, 0.000000, 0.000000, 0.000000], [0.197570, 0.640007, -0.073464, 0.117321, 0.042630, 0.017925, 0.728051, 0.000000, 0.000000, 0.000000], [-0.453870, 0.251599, 0.753685, 0.391302, 0.017600, 0.040695, -0.087044, 0.000000, 0.000000, 0.000000], [-0.398181, -0.075323, -0.547635, 0.593509, 0.190237, 0.383958, 0.002776, 0.000000, 0.000000, 0.000000], [0.274916, 0.340884, 0.058367, -0.163703, -0.192792, 0.786320, -0.350066, 0.000000, 0.000000, 0.000000], [0.480977, -0.330230, 0.127734, 0.573828, -0.548996, 0.000388, 0.112330, 0.000000, 0.000000, 0.000000]]
fourier: [[167.282317, 186.700683, 186.995444, 193.963722, 727.760657], [92.324483, 102.647116, 102.892700, 108.366732, 355.466015], [69.996309, 78.586619, 78.861612, 80.225146, 295.386756], [161.213608, 179.218174, 179.889272, 187.870094, 769.168187], [141.531700, 158.164591, 159.431121, 164.776386, 582.668723], [97.575811, 109.168079, 109.737026, 112.891456, 383.719076], [170.896376, 189.802104, 190.737407, 199.035502, 741.847786]]
### 8
mean: [8.118686, -15.085336, -11.708493, 9.204626, 12.033389, -4.313079, 2.322608]
std: [10.528736, 17.791250, 13.794348, 11.930962, 15.922821, 5.357379, 3.477410]
pca: [[-0.324259, 0.061177, 0.084217, 0.639777, -0.487288, -0.486999, -0.009463, 0.000000, 0.000000, 0.000000], [0.547922, -0.300565, 0.720640, 0.077596, 0.092415, -0.269538, 0.053918, 0.000000, 0.000000, 0.000000], [0.424831, -0.187587, -0.196714, 0.387064, -0.414328, 0.576737, 0.302525, 0.000000, 0.000000, 0.000000], [-0.367438, 0.301599, 0.602835, 0.202722, 0.076339, 0.579937, -0.165430, 0.000000, 0.000000, 0.000000], [-0.490377, -0.468519, 0.178855, -0.253494, -0.081982, 0.034767, 0.660183, 0.000000, 0.000000, 0.000000], [0.164951, 0.685192, 0.025007, 0.070786, 0.200891, -0.140304, 0.661532, 0.000000, 0.000000, 0.000000], [-0.107080, -0.301279, -0.197141, 0.569632, 0.727624, 0.018311, 0.068176, 0.000000, 0.000000, 0.000000]]
fourier: [[175.683342, 195.738240, 196.504639, 204.374036, 730.681662], [296.384226, 330.720981, 332.916024, 345.412689, 1357.680130], [229.857226, 255.907491, 257.943200, 267.301752, 1053.764523], [199.067966, 221.733197, 222.789104, 230.641496, 828.416302], [265.306697, 294.373901, 297.170243, 309.897744, 1083.004999], [89.137861, 98.097493, 99.642384, 105.342889, 388.177053], [57.915421, 64.368071, 64.753044, 68.397385, 209.034690]]
### 10
mean: [14.383173, 1.545475, -16.637083, -23.607750, 5.132227, -11.532063, 5.804079]
std: [19.300076, 2.696948, 22.605835, 31.809528, 6.955003, 15.572814, 7.982458]
pca: [[-0.406228, -0.490891, 0.453686, 0.528945, -0.225382, -0.199578, -0.133279, 0.000000, 0.000000, 0.000000], [-0.056747, 0.760885, 0.028328, 0.300449, -0.374452, -0.227123, -0.367372, 0.000000, 0.000000, 0.000000], [0.475809, 0.044187, -0.012588, 0.596146, 0.603025, -0.227041, 0.030316, 0.000000, 0.000000, 0.000000], [0.669529, -0.162225, 0.507084, -0.296097, -0.235324, -0.104209, -0.338186, 0.000000, 0.000000, 0.000000], [-0.146389, 0.126710, 0.290879, 0.071202, 0.344784, 0.744875, -0.446229, 0.000000, 0.000000, 0.000000], [0.327777, 0.035161, 0.023766, 0.386635, -0.469849, 0.525694, 0.494128, 0.000000, 0.000000, 0.000000], [-0.168013, 0.366768, 0.671490, -0.179802, 0.224361, -0.122411, 0.537311, 0.000000, 0.000000, 0.000000]]
fourier: [[320.932700, 357.228415, 361.797176, 374.449169, 1294.485548], [44.977194, 49.877649, 49.954467, 53.220882, 139.092718], [376.080270, 418.126375, 423.286822, 439.076959, 1497.337525], [528.965913, 587.983420, 595.713792, 618.195424, 2124.697704], [115.760021, 128.714741, 130.062450, 135.144421, 461.900458], [259.050628, 287.973528, 291.597453, 302.392207, 1037.885673], [133.034163, 147.977021, 149.001570, 155.307958, 522.367054]]
### 12
mean: [-5.705204]
std: [8.382380]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[140.393466, 156.632398, 157.133725, 162.312846, 513.468440]]
## 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": [[-1.076424, -0.146102, 0.08852, 0.155251, 0.59193], [1.348224, -0.594003, 0.070456, -0.179273, 0.169794], [-0.942664, -0.019291, -0.010302, 0.083571, 0.725218], [-0.373373, -0.075206, -0.391494, -0.208944, -0.059001], [0.66314, 0.081224, 0.342829, 0.321921, -1.036044], [1.397731, 0.509649, -0.008939, 0.173553, -0.687412], [-0.013261, -0.69364, -0.143508, -0.133895, -0.409189]], "network.0.bias": [0.402399, 0.60303, -0.058236, -0.682169, -0.258374, 0.078069, -0.030223], "network.2.weight": [[-0.440464, 0.155423, -0.413492, -0.893641, -0.010567, -1.056415, -0.820631], [-0.051144, -0.006245, -0.277799, -0.671353, 0.009942, -0.213742, 0.114335], [-0.653173, 1.395168, -0.161695, -0.119575, 0.679388, 0.741137, -1.057487], [-0.192654, 0.077614, -0.050503, -0.521725, 0.452357, 0.008777, 0.664169], [-0.506187, 0.392467, -0.819167, -0.036175, 0.386691, 0.68098, -1.015452], [-0.133864, 1.047755, -0.472129, 0.204518, 0.619407, 0.781921, -1.384157], [0.084751, -0.476621, 0.316663, 0.336569, -0.303759, -0.267242, 1.023853]], "network.2.bias": [-0.732918, -0.872214, -0.077303, -0.47647, 0.133363, -0.205803, -0.034792], "network.4.weight": [[-0.206274, 0.140951, 0.717812, -1.058737, 0.591244, 0.176482, -0.52582], [0.68096, 0.683281, 0.208236, 1.254431, 0.062509, -0.743162, 0.27378], [0.52372, 1.145696, -0.487884, 1.046689, -0.129723, -0.889846, 0.212959], [-0.623598, -0.239763, 0.435974, -0.868455, 0.788949, 0.275458, -0.043742], [0.649452, 0.70317, -0.13559, 1.109832, -0.008116, -0.596873, 0.679947], [0.779621, 0.446004, -0.088809, -0.516274, -0.5664, -0.396154, -0.14017], [-0.492387, -0.460596, 0.652094, -0.660358, 0.950326, 0.086721, -0.358237]], "network.4.bias": [0.324476, -0.73444, -0.734515, 0.195674, -0.232451, -0.428454, 0.082233], "network.6.weight": [[0.300804, 0.264754, -0.198948, 0.335677, -0.202689, 0.047738, 0.778325], [0.497022, -0.084245, -0.007148, -0.163149, 0.564188, 0.131208, 0.422021], [-0.056994, 0.227409, 0.101609, 0.325744, -0.620342, 0.064236, 0.334535], [-0.478123, 1.082065, 0.669284, -0.822013, 0.050844, 0.542374, -0.159535], [-0.516339, 0.016375, -0.429166, -0.513293, 0.125712, -0.1598, -0.213958], [0.185171, -0.377596, 0.462243, 0.400639, -0.346745, -0.064533, 0.269485], [0.401279, 0.09108, 0.181364, 0.529787, 0.458289, -0.387374, 0.546159]], "network.6.bias": [0.268987, -0.329671, 0.016714, -0.651883, 0.168236, -0.363008, 0.209165], "network.8.weight": [[0.254316, 0.244845, 0.238632, 0.394838, -0.376774, 0.316653, 0.365542], [-1.004938, -0.364478, 0.044437, 0.480101, -0.103278, 0.841684, -1.049954], [-0.744427, -0.136167, -0.568117, 0.333093, -0.121273, 0.31923, -0.489264], [0.445074, -0.184355, 0.554951, 0.105338, -0.394119, 0.524066, 0.298282], [0.422759, 0.337989, 0.215064, -0.035415, 0.215535, 0.746218, 0.442411], [-0.043507, -0.474945, 0.077736, 0.15292, -0.328481, -0.435163, -0.009213], [0.241281, 0.506632, -0.287219, 0.436179, 0.055744, 0.175645, -0.152492]], "network.8.bias": [-0.003392, -0.686574, -0.688148, -0.124791, -0.210845, -0.397997, -0.174689], "network.10.weight": [[0.091071, 0.304728, 1.09422, 0.637287, 0.708461, 0.099556, -0.174212], [0.532608, 0.448049, 0.318165, -0.59497, 0.181196, -0.406861, 0.37601], [-0.233879, -0.466696, -0.776356, -0.805118, -0.61648, -0.587781, -0.185791], [-0.224776, -0.653489, -1.062709, -0.728279, -1.289856, -0.54723, -0.035292], [0.251362, 0.446418, 0.155161, 0.092909, 0.17747, -0.243569, 0.105744], [0.217037, -0.631213, -0.643676, -0.591488, -0.653167, -0.210737, -0.101173], [0.398736, 0.905145, 0.457852, -0.036352, 0.177022, -0.441571, 0.399305]], "network.10.bias": [-0.258106, -0.360651, 0.411508, 0.391226, -0.135217, 0.175339, -0.138113], "network.12.weight": [[-0.287674, -0.04193, 0.392813, 0.342556, 0.025217, -0.003505, -0.356597]], "network.12.bias": [0.376401]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.735992968082428, "train_acc": 0.425, "val_loss": 0.6938748359680176, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6858296990394592, "train_acc": 0.485, "val_loss": 0.7476521134376526, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6751497685909271, "train_acc": 0.575, "val_loss": 0.6774332523345947, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.659752607345581, "train_acc": 0.575, "val_loss": 0.6095473766326904, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6562414467334747, "train_acc": 0.545, "val_loss": 0.5271801948547363, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5585527718067169, "train_acc": 0.715, "val_loss": 0.5577287077903748, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5647929310798645, "train_acc": 0.69, "val_loss": 0.43825316429138184, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4861389994621277, "train_acc": 0.75, "val_loss": 0.46784210205078125, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5083266794681549, "train_acc": 0.745, "val_loss": 0.44201022386550903, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.48978330194950104, "train_acc": 0.74, "val_loss": 0.41743576526641846, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.48579907417297363, "train_acc": 0.755, "val_loss": 0.38945508003234863, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.45762573182582855, "train_acc": 0.775, "val_loss": 0.3737165033817291, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.47990329563617706, "train_acc": 0.76, "val_loss": 0.3864901065826416, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.46294906735420227, "train_acc": 0.775, "val_loss": 0.4164589047431946, "val_acc": 0.84}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6938748359680176, "final_val_loss": 0.6095473766326904, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5271801948547363, "final_val_loss": 0.4164589047431946, "initial_val_acc": 0.76, "final_val_acc": 0.84, "best_val_acc": 0.84, "best_epoch": 10}, "improvement": 0.33999999999999997, "first_improvement_epoch": 3}}
|
9,618
|
{"target_pattern": "palindrome", "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": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7523, "learning_rate": 0.01213629017241872, "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: 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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}
## Activation Signature
### 0
mean: [0.880289, 2.520920, 2.623693, -1.673916, 0.633894, 0.297360, 0.515979, 0.928682]
std: [1.019483, 1.604005, 1.795668, 1.431193, 1.548951, 1.058891, 1.018450, 1.291375]
pca: [[0.217784, -0.295626, -0.134478, 0.560134, 0.030915, 0.009080, 0.702377, -0.197410, 0.000000, 0.000000], [0.531939, -0.197080, 0.254612, 0.051338, -0.015187, -0.649251, -0.113039, 0.419764, 0.000000, 0.000000], [0.614889, -0.169408, -0.178991, -0.078186, -0.179598, 0.663224, -0.169007, 0.233187, 0.000000, 0.000000], [-0.410955, -0.098836, -0.497605, 0.166427, -0.114381, -0.028109, 0.067383, 0.726378, 0.000000, 0.000000], [0.248518, 0.700168, -0.239359, -0.222939, -0.415988, -0.165361, 0.374636, 0.016322, 0.000000, 0.000000], [0.190504, -0.027899, -0.489838, -0.409288, 0.723984, -0.123496, 0.120364, -0.039745, 0.000000, 0.000000], [-0.104510, 0.041471, 0.573870, -0.318524, 0.220420, 0.271777, 0.515772, 0.410005, 0.000000, 0.000000], [0.116885, 0.585289, 0.104302, 0.575437, 0.455731, 0.145863, -0.199812, 0.181318, 0.000000, 0.000000]]
fourier: [[15.542190, 16.319081, 16.934343, 17.506748, 79.225995], [25.904902, 28.490029, 28.651135, 31.243707, 226.882815], [27.968028, 33.033650, 36.111882, 36.977249, 236.132366], [22.016513, 23.305853, 24.344210, 27.023153, 150.652495], [24.710291, 24.771369, 28.369453, 32.814220, 57.050459], [17.000184, 17.855253, 18.286166, 18.659879, 26.762439], [15.670682, 16.604852, 16.683377, 17.867723, 46.438065], [21.301745, 21.340536, 22.912416, 28.105563, 83.581370]]
### 2
mean: [-0.939001, 0.339834, 1.505137, -1.217794, -0.404489, 3.086605, 0.485109, 0.049841]
std: [0.949517, 0.488427, 1.257820, 0.610018, 0.496678, 1.865486, 0.738751, 0.518036]
pca: [[-0.374041, -0.062797, 0.033694, -0.075016, 0.119686, 0.818395, -0.012867, 0.406357, 0.000000, 0.000000], [-0.122310, 0.366635, -0.133221, 0.693549, -0.427637, 0.005419, 0.353711, 0.209396, 0.000000, 0.000000], [0.467859, -0.000779, 0.721490, 0.047297, 0.025262, 0.244627, 0.431731, -0.107006, 0.000000, 0.000000], [-0.148770, -0.444890, 0.367562, 0.359713, 0.251965, -0.385493, -0.158849, 0.527372, 0.000000, 0.000000], [-0.171213, 0.229604, -0.107865, -0.427065, 0.293391, -0.300932, 0.652677, 0.348314, 0.000000, 0.000000], [0.734146, -0.027344, -0.458437, 0.129952, 0.268014, 0.138392, -0.045034, 0.374456, 0.000000, 0.000000], [-0.011317, 0.771089, 0.265086, 0.071829, 0.387160, -0.047529, -0.415948, 0.068542, 0.000000, 0.000000], [-0.188934, -0.125152, -0.182748, 0.421070, 0.656410, 0.098899, 0.249138, -0.484993, 0.000000, 0.000000]]
fourier: [[14.239147, 16.936884, 17.825513, 19.505416, 84.510112], [7.091972, 7.452226, 9.095485, 9.551295, 30.585035], [21.753580, 23.451948, 24.217042, 25.676921, 135.462302], [9.298435, 9.721201, 10.058525, 10.305607, 109.601419], [8.117281, 8.815404, 9.846233, 11.228423, 36.403985], [26.773022, 35.565626, 36.161124, 36.592700, 277.794491], [12.690295, 13.326528, 13.448121, 13.609786, 43.659847], [7.565966, 7.980253, 9.474347, 9.951118, 10.342831]]
### 4
mean: [-0.967804, -0.729261, 0.163972, -0.747737, 0.689820, -0.434298, 0.069244, 1.534958]
std: [0.599670, 0.615407, 0.236573, 0.358492, 0.531881, 0.326219, 0.498745, 1.431531]
pca: [[-0.309640, -0.495424, 0.045815, 0.407544, -0.354218, -0.165562, -0.424466, -0.396780, 0.000000, 0.000000], [-0.322867, 0.120101, 0.557021, 0.117447, 0.624638, 0.158390, 0.035851, -0.375127, 0.000000, 0.000000], [-0.048839, 0.603726, 0.048236, 0.160085, -0.532256, 0.456866, 0.064469, -0.330146, 0.000000, 0.000000], [-0.170042, -0.426478, 0.297908, 0.202711, -0.239498, 0.289592, 0.653597, 0.301579, 0.000000, 0.000000], [0.278034, 0.067976, -0.430497, 0.726016, 0.290245, -0.083865, 0.301731, -0.152747, 0.000000, 0.000000], [-0.171228, -0.097611, -0.266312, 0.172017, 0.222224, 0.681630, -0.440851, 0.390240, 0.000000, 0.000000], [-0.254247, 0.407631, 0.284692, 0.406373, -0.086491, -0.404342, -0.170694, 0.568241, 0.000000, 0.000000], [0.772863, -0.115977, 0.509169, 0.177671, -0.050930, 0.140593, -0.269575, 0.058153, 0.000000, 0.000000]]
fourier: [[8.789338, 10.878748, 10.966974, 12.129342, 87.102322], [8.763008, 10.893294, 11.620293, 11.693665, 65.633502], [3.567525, 3.647917, 4.130862, 4.134966, 14.757455], [5.859023, 6.120171, 6.369934, 6.946817, 67.296333], [7.116852, 10.030114, 10.044174, 10.786326, 62.083767], [5.451147, 5.883034, 6.292865, 6.573132, 39.086818], [7.548077, 7.662374, 7.931139, 8.809971, 9.164355], [23.069422, 27.011819, 27.126652, 29.336903, 138.146228]]
### 6
mean: [-0.369569, 0.403364, -0.398090, 0.456723, 0.091532, 0.664314, -0.401039, 0.335866]
std: [0.042632, 0.641437, 0.131768, 0.292002, 0.139551, 0.667538, 0.204641, 0.471758]
pca: [[-0.018804, -0.251384, 0.269792, -0.266636, 0.249290, -0.413275, -0.114550, 0.739261, 0.000000, 0.000000], [0.576360, 0.609210, -0.215528, -0.089441, 0.464709, -0.131618, -0.091531, 0.023749, 0.000000, 0.000000], [-0.112545, -0.290405, -0.304489, -0.486657, 0.464408, 0.595006, 0.058142, 0.019016, 0.000000, 0.000000], [0.259824, 0.143817, 0.503793, 0.299159, -0.057552, 0.658092, -0.029831, 0.362239, 0.000000, 0.000000], [-0.114774, 0.334745, 0.470843, -0.519103, -0.065426, -0.043817, 0.593507, -0.158621, 0.000000, 0.000000], [0.600219, -0.532409, 0.358854, -0.123700, 0.072613, -0.097660, -0.091901, -0.434677, 0.000000, 0.000000], [-0.183930, -0.133081, 0.129859, 0.552019, 0.630919, -0.115055, 0.452219, -0.105226, 0.000000, 0.000000], [0.424281, -0.217776, -0.408541, 0.071267, -0.308710, -0.008271, 0.639555, 0.310117, 0.000000, 0.000000]]
fourier: [[0.654171, 0.701855, 0.734605, 0.735891, 33.261203], [9.464153, 12.156262, 12.225902, 12.796625, 36.302748], [2.064608, 2.123866, 2.441592, 2.625836, 35.828075], [4.565987, 4.887547, 5.389241, 5.758814, 41.105090], [2.065609, 2.520232, 2.736405, 2.991485, 8.237910], [10.602389, 11.478641, 12.147377, 13.534754, 59.788262], [3.044002, 3.769180, 4.022920, 4.034189, 36.093474], [7.649735, 8.331526, 9.294102, 9.568974, 30.227967]]
### 8
mean: [-0.473501]
std: [0.700979]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.124515, 13.044583, 13.360020, 14.037047, 42.615114]]
## 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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [0.880289, 2.520920, 2.623693, -1.673916, 0.633894, 0.297360, 0.515979, 0.928682]
std: [1.019483, 1.604005, 1.795668, 1.431193, 1.548951, 1.058891, 1.018450, 1.291375]
pca: [[0.217784, -0.295626, -0.134478, 0.560134, 0.030915, 0.009080, 0.702377, -0.197410, 0.000000, 0.000000], [0.531939, -0.197080, 0.254612, 0.051338, -0.015187, -0.649251, -0.113039, 0.419764, 0.000000, 0.000000], [0.614889, -0.169408, -0.178991, -0.078186, -0.179598, 0.663224, -0.169007, 0.233187, 0.000000, 0.000000], [-0.410955, -0.098836, -0.497605, 0.166427, -0.114381, -0.028109, 0.067383, 0.726378, 0.000000, 0.000000], [0.248518, 0.700168, -0.239359, -0.222939, -0.415988, -0.165361, 0.374636, 0.016322, 0.000000, 0.000000], [0.190504, -0.027899, -0.489838, -0.409288, 0.723984, -0.123496, 0.120364, -0.039745, 0.000000, 0.000000], [-0.104510, 0.041471, 0.573870, -0.318524, 0.220420, 0.271777, 0.515772, 0.410005, 0.000000, 0.000000], [0.116885, 0.585289, 0.104302, 0.575437, 0.455731, 0.145863, -0.199812, 0.181318, 0.000000, 0.000000]]
fourier: [[15.542190, 16.319081, 16.934343, 17.506748, 79.225995], [25.904902, 28.490029, 28.651135, 31.243707, 226.882815], [27.968028, 33.033650, 36.111882, 36.977249, 236.132366], [22.016513, 23.305853, 24.344210, 27.023153, 150.652495], [24.710291, 24.771369, 28.369453, 32.814220, 57.050459], [17.000184, 17.855253, 18.286166, 18.659879, 26.762439], [15.670682, 16.604852, 16.683377, 17.867723, 46.438065], [21.301745, 21.340536, 22.912416, 28.105563, 83.581370]]
### 2
mean: [-0.939001, 0.339834, 1.505137, -1.217794, -0.404489, 3.086605, 0.485109, 0.049841]
std: [0.949517, 0.488427, 1.257820, 0.610018, 0.496678, 1.865486, 0.738751, 0.518036]
pca: [[-0.374041, -0.062797, 0.033694, -0.075016, 0.119686, 0.818395, -0.012867, 0.406357, 0.000000, 0.000000], [-0.122310, 0.366635, -0.133221, 0.693549, -0.427637, 0.005419, 0.353711, 0.209396, 0.000000, 0.000000], [0.467859, -0.000779, 0.721490, 0.047297, 0.025262, 0.244627, 0.431731, -0.107006, 0.000000, 0.000000], [-0.148770, -0.444890, 0.367562, 0.359713, 0.251965, -0.385493, -0.158849, 0.527372, 0.000000, 0.000000], [-0.171213, 0.229604, -0.107865, -0.427065, 0.293391, -0.300932, 0.652677, 0.348314, 0.000000, 0.000000], [0.734146, -0.027344, -0.458437, 0.129952, 0.268014, 0.138392, -0.045034, 0.374456, 0.000000, 0.000000], [-0.011317, 0.771089, 0.265086, 0.071829, 0.387160, -0.047529, -0.415948, 0.068542, 0.000000, 0.000000], [-0.188934, -0.125152, -0.182748, 0.421070, 0.656410, 0.098899, 0.249138, -0.484993, 0.000000, 0.000000]]
fourier: [[14.239147, 16.936884, 17.825513, 19.505416, 84.510112], [7.091972, 7.452226, 9.095485, 9.551295, 30.585035], [21.753580, 23.451948, 24.217042, 25.676921, 135.462302], [9.298435, 9.721201, 10.058525, 10.305607, 109.601419], [8.117281, 8.815404, 9.846233, 11.228423, 36.403985], [26.773022, 35.565626, 36.161124, 36.592700, 277.794491], [12.690295, 13.326528, 13.448121, 13.609786, 43.659847], [7.565966, 7.980253, 9.474347, 9.951118, 10.342831]]
### 4
mean: [-0.967804, -0.729261, 0.163972, -0.747737, 0.689820, -0.434298, 0.069244, 1.534958]
std: [0.599670, 0.615407, 0.236573, 0.358492, 0.531881, 0.326219, 0.498745, 1.431531]
pca: [[-0.309640, -0.495424, 0.045815, 0.407544, -0.354218, -0.165562, -0.424466, -0.396780, 0.000000, 0.000000], [-0.322867, 0.120101, 0.557021, 0.117447, 0.624638, 0.158390, 0.035851, -0.375127, 0.000000, 0.000000], [-0.048839, 0.603726, 0.048236, 0.160085, -0.532256, 0.456866, 0.064469, -0.330146, 0.000000, 0.000000], [-0.170042, -0.426478, 0.297908, 0.202711, -0.239498, 0.289592, 0.653597, 0.301579, 0.000000, 0.000000], [0.278034, 0.067976, -0.430497, 0.726016, 0.290245, -0.083865, 0.301731, -0.152747, 0.000000, 0.000000], [-0.171228, -0.097611, -0.266312, 0.172017, 0.222224, 0.681630, -0.440851, 0.390240, 0.000000, 0.000000], [-0.254247, 0.407631, 0.284692, 0.406373, -0.086491, -0.404342, -0.170694, 0.568241, 0.000000, 0.000000], [0.772863, -0.115977, 0.509169, 0.177671, -0.050930, 0.140593, -0.269575, 0.058153, 0.000000, 0.000000]]
fourier: [[8.789338, 10.878748, 10.966974, 12.129342, 87.102322], [8.763008, 10.893294, 11.620293, 11.693665, 65.633502], [3.567525, 3.647917, 4.130862, 4.134966, 14.757455], [5.859023, 6.120171, 6.369934, 6.946817, 67.296333], [7.116852, 10.030114, 10.044174, 10.786326, 62.083767], [5.451147, 5.883034, 6.292865, 6.573132, 39.086818], [7.548077, 7.662374, 7.931139, 8.809971, 9.164355], [23.069422, 27.011819, 27.126652, 29.336903, 138.146228]]
### 6
mean: [-0.369569, 0.403364, -0.398090, 0.456723, 0.091532, 0.664314, -0.401039, 0.335866]
std: [0.042632, 0.641437, 0.131768, 0.292002, 0.139551, 0.667538, 0.204641, 0.471758]
pca: [[-0.018804, -0.251384, 0.269792, -0.266636, 0.249290, -0.413275, -0.114550, 0.739261, 0.000000, 0.000000], [0.576360, 0.609210, -0.215528, -0.089441, 0.464709, -0.131618, -0.091531, 0.023749, 0.000000, 0.000000], [-0.112545, -0.290405, -0.304489, -0.486657, 0.464408, 0.595006, 0.058142, 0.019016, 0.000000, 0.000000], [0.259824, 0.143817, 0.503793, 0.299159, -0.057552, 0.658092, -0.029831, 0.362239, 0.000000, 0.000000], [-0.114774, 0.334745, 0.470843, -0.519103, -0.065426, -0.043817, 0.593507, -0.158621, 0.000000, 0.000000], [0.600219, -0.532409, 0.358854, -0.123700, 0.072613, -0.097660, -0.091901, -0.434677, 0.000000, 0.000000], [-0.183930, -0.133081, 0.129859, 0.552019, 0.630919, -0.115055, 0.452219, -0.105226, 0.000000, 0.000000], [0.424281, -0.217776, -0.408541, 0.071267, -0.308710, -0.008271, 0.639555, 0.310117, 0.000000, 0.000000]]
fourier: [[0.654171, 0.701855, 0.734605, 0.735891, 33.261203], [9.464153, 12.156262, 12.225902, 12.796625, 36.302748], [2.064608, 2.123866, 2.441592, 2.625836, 35.828075], [4.565987, 4.887547, 5.389241, 5.758814, 41.105090], [2.065609, 2.520232, 2.736405, 2.991485, 8.237910], [10.602389, 11.478641, 12.147377, 13.534754, 59.788262], [3.044002, 3.769180, 4.022920, 4.034189, 36.093474], [7.649735, 8.331526, 9.294102, 9.568974, 30.227967]]
### 8
mean: [-0.473501]
std: [0.700979]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.124515, 13.044583, 13.360020, 14.037047, 42.615114]]
## 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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|
{"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": [[0.173553, -0.237378, -0.058149, 0.352628, 0.31496], [0.083353, 0.186123, 0.351868, 0.29679, 0.47018], [0.431736, 0.193222, 0.104822, 0.253069, 0.544733], [0.127834, -0.427008, -0.4567, -0.155608, -0.189232], [0.385067, 0.56997, -0.123075, 0.038987, -0.331372], [0.345135, 0.19965, -0.298415, -0.165249, 0.313082], [-0.454538, 0.170054, 0.37567, -0.170088, -0.097776], [-0.002559, 0.380731, -0.086948, 0.339631, -0.368511]], "network.0.bias": [0.073693, 0.126684, 0.300838, 0.46618, -0.301735, 0.09564, 0.472349, 0.145891], "network.2.weight": [[0.215401, -0.316879, -0.286616, 0.229983, 0.256445, -0.196064, 0.326607, -0.175568], [-0.332532, 0.25372, -0.213109, 0.125485, 0.028352, -0.022293, 0.165005, 0.107069], [0.202828, 0.36656, 0.026909, 0.22568, 0.374019, 0.455697, -0.342002, -0.296179], [-0.161863, -0.355987, 0.144372, 0.296029, -0.158794, 0.157656, -0.14924, -0.138367], [-0.130217, 0.109453, -0.279528, 0.088404, 0.033743, -0.063383, 0.002694, 0.191136], [0.520113, 0.381649, 0.412883, -0.128486, -0.360725, 0.511925, 0.026963, 0.252874], [-0.251912, 0.038506, 0.019032, -0.058892, 0.249223, 0.053727, 0.34804, 0.31327], [0.09167, -0.160936, -0.172504, 0.222851, -0.219094, 0.312223, 0.273834, 0.160688]], "network.2.bias": [0.234345, 0.319098, 0.257193, -0.257209, -0.034041, 0.303608, -0.264596, 0.463049], "network.4.weight": [[-0.333899, 0.34111, 0.054595, 0.127774, 0.185351, -0.335092, -0.33552, -0.125246], [0.297873, 0.126981, 0.062206, -0.258093, -0.084471, -0.313505, 0.213589, 0.227629], [0.039752, 0.345843, -0.003384, -0.17751, -0.10839, 0.01499, 0.218083, 0.096668], [-0.268656, 0.080204, 0.132651, 0.196311, -0.047179, -0.26839, -0.201758, -0.080323], [-0.226151, 0.320989, 0.08929, 0.063727, -0.153788, 0.266213, -0.262115, 0.150633], [0.068332, 0.187181, -0.136255, 0.190704, -0.236747, -0.067093, -0.060077, -0.030184], [0.044497, 0.484164, 0.070518, -0.233786, 0.190828, -0.21044, 0.130172, 0.223614], [-0.224287, -0.449702, 0.526495, 0.040439, -0.331013, 0.374013, -0.184518, -0.008618]], "network.4.bias": [0.073433, -0.09196, -0.165851, -0.006747, -0.271451, -0.05609, 0.281698, -0.10338], "network.6.weight": [[-0.255287, -0.094566, -0.08133, 0.218455, -0.12962, 0.271291, -0.051342, 0.017301], [0.063875, -0.109931, -0.092657, -0.00816, 0.438388, 0.247673, -0.203643, 0.258519], [0.300253, -0.266895, 0.232841, 0.217918, -0.166066, 0.063808, -0.060273, -0.024491], [-0.147715, 0.115402, -0.329203, 0.236855, 0.120339, 0.205022, -0.05515, 0.13107], [0.003516, 0.199952, -0.253862, 0.081511, 0.183816, 0.231946, 0.115713, -0.152795], [0.08877, -0.193854, -0.173258, -0.285917, -0.171929, -0.145633, -0.448874, 0.449157], [0.244945, -0.155855, -0.049936, -0.05975, -0.127242, 0.266076, 0.149682, -0.080269], [0.090731, -0.107183, 0.181594, -0.223642, -0.045083, 0.075524, -0.31311, 0.311528]], "network.6.bias": [-0.278826, -0.230701, -0.272916, 0.245354, 0.218321, 0.231787, -0.215259, -0.071031], "network.8.weight": [[-0.086868, -0.429425, -0.247939, -0.223609, 0.071998, -0.531188, -0.23527, -0.123921]], "network.8.bias": [0.239244]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7012589573860168, "train_acc": 0.44, "val_loss": 0.6878044009208679, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6858381628990173, "train_acc": 0.545, "val_loss": 0.678755521774292, "val_acc": 0.62}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.665545642375946, "train_acc": 0.68, "val_loss": 0.6681848168373108, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.647363156080246, "train_acc": 0.605, "val_loss": 0.6560828685760498, "val_acc": 0.54}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6185140013694763, "train_acc": 0.585, "val_loss": 0.6363405585289001, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6153263747692108, "train_acc": 0.58, "val_loss": 0.5751588940620422, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5547383725643158, "train_acc": 0.905, "val_loss": 0.5497604608535767, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5177177488803864, "train_acc": 0.895, "val_loss": 0.4984295666217804, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.4690239280462265, "train_acc": 0.865, "val_loss": 0.4648076891899109, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.4333578944206238, "train_acc": 0.88, "val_loss": 0.44945213198661804, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.40481509268283844, "train_acc": 0.875, "val_loss": 0.4368015229701996, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.3867352306842804, "train_acc": 0.87, "val_loss": 0.4227845072746277, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.3847198337316513, "train_acc": 0.875, "val_loss": 0.41346535086631775, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.35493387281894684, "train_acc": 0.875, "val_loss": 0.4070976674556732, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.3443908989429474, "train_acc": 0.88, "val_loss": 0.40342238545417786, "val_acc": 0.84}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6878044009208679, "final_val_loss": 0.6363405585289001, "initial_val_acc": 0.52, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5751588940620422, "final_val_loss": 0.40342238545417786, "initial_val_acc": 0.84, "final_val_acc": 0.84, "best_val_acc": 0.86, "best_epoch": 7}, "improvement": 0.31999999999999995, "first_improvement_epoch": 4}}
|
9,619
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.38, "improved_accuracy": 0.9, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4741, "learning_rate": 0.08631509350593211, "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:
{
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[
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],
"network.0.bias": [
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"network.2.bias": [
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}
## Activation Signature
### 0
mean: [1.759261, -3.252380, 0.432312, 1.216473, 0.508960, 1.566621]
std: [1.872789, 1.817607, 1.344587, 1.813514, 1.411978, 2.127723]
pca: [[-0.200453, 0.652688, -0.394310, 0.484696, -0.247139, 0.286929, 0.000000, 0.000000, 0.000000, 0.000000], [-0.360345, -0.479574, 0.429516, 0.586598, -0.242957, 0.229242, 0.000000, 0.000000, 0.000000, 0.000000], [0.263822, -0.313945, -0.448138, 0.248413, -0.498493, -0.566396, 0.000000, 0.000000, 0.000000, 0.000000], [0.544818, -0.197600, -0.211908, 0.478839, 0.580532, 0.230040, 0.000000, 0.000000, 0.000000, 0.000000], [0.431872, -0.169732, -0.064104, -0.294627, -0.505714, 0.661828, 0.000000, 0.000000, 0.000000, 0.000000], [0.526334, 0.421416, 0.640464, 0.207778, -0.196558, -0.231043, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.180917, 31.309070, 32.932645, 38.109599, 158.333450], [28.377556, 29.836591, 35.522051, 35.683835, 292.714246], [21.537229, 22.660063, 22.699677, 26.365519, 38.908047], [28.219755, 29.327762, 30.911955, 31.694417, 109.482538], [20.048188, 22.150145, 24.072226, 31.196297, 45.806394], [35.445797, 36.073856, 36.596849, 43.785425, 140.995863]]
### 2
mean: [-0.235942, 0.347645, -0.092704, -1.230339, -1.153902, -1.668247]
std: [1.789354, 1.482688, 1.056583, 0.943186, 0.620868, 1.620394]
pca: [[0.648588, -0.067830, -0.029441, 0.190123, 0.620957, -0.390041, 0.000000, 0.000000, 0.000000, 0.000000], [0.489197, -0.414988, 0.169009, 0.434256, -0.384085, 0.473083, 0.000000, 0.000000, 0.000000, 0.000000], [-0.228572, -0.284703, 0.869350, 0.034049, 0.031256, -0.329838, 0.000000, 0.000000, 0.000000, 0.000000], [-0.181497, 0.546585, 0.045427, 0.797009, -0.088305, -0.152377, 0.000000, 0.000000, 0.000000, 0.000000], [0.006172, 0.371785, 0.366866, -0.088279, 0.506094, 0.680604, 0.000000, 0.000000, 0.000000, 0.000000], [0.504773, 0.552403, 0.279543, -0.362076, -0.449427, -0.169787, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.067006, 23.834254, 27.942992, 30.676629, 39.803134], [21.637234, 22.217479, 28.172213, 31.288048, 34.561163], [15.059742, 15.942362, 16.191726, 19.570576, 20.793320], [16.203088, 16.739075, 18.195863, 18.865380, 110.730534], [9.443849, 10.597682, 12.383836, 12.534511, 103.851186], [24.469950, 26.160406, 26.285107, 32.261447, 150.142206]]
### 4
mean: [-0.121527, 0.508052, -0.459555, 1.037281, 0.894988, -0.773343]
std: [0.677668, 0.571137, 1.053301, 1.204966, 1.121700, 0.423231]
pca: [[-0.288637, -0.568311, 0.133581, 0.598163, 0.459548, 0.082969, 0.000000, 0.000000, 0.000000, 0.000000], [0.260380, 0.252139, -0.514481, 0.175610, 0.268536, 0.707804, 0.000000, 0.000000, 0.000000, 0.000000], [-0.473426, 0.615378, -0.288424, 0.362768, 0.147665, -0.400728, 0.000000, 0.000000, 0.000000, 0.000000], [0.563596, 0.257332, 0.341323, -0.013863, 0.643714, -0.291683, 0.000000, 0.000000, 0.000000, 0.000000], [0.527877, -0.027034, -0.067310, 0.653674, -0.495674, -0.207610, 0.000000, 0.000000, 0.000000, 0.000000], [-0.168712, 0.409644, 0.716411, 0.228648, -0.186651, 0.450960, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.937411, 11.620801, 14.075556, 14.688370, 15.967891], [9.125759, 10.794564, 12.675351, 13.937213, 45.724724], [15.997273, 17.073942, 21.156130, 24.255437, 41.359934], [18.349864, 21.045159, 27.502003, 27.782376, 93.355262], [16.036152, 17.260183, 25.494321, 26.172918, 80.548897], [6.893357, 7.782824, 8.549410, 9.001668, 69.600841]]
### 6
mean: [1.037933, 0.544904, -1.009181, -0.709529, 0.457357, 0.195026]
std: [1.219525, 0.819439, 0.806686, 0.094711, 0.783806, 0.308790]
pca: [[0.650862, 0.327475, 0.173037, -0.335861, -0.283840, -0.495811, 0.000000, 0.000000, 0.000000, 0.000000], [0.437227, -0.199803, -0.538829, -0.355252, 0.569104, 0.168790, 0.000000, 0.000000, 0.000000, 0.000000], [-0.427494, 0.692023, -0.297230, -0.476378, -0.049942, 0.143445, 0.000000, 0.000000, 0.000000, 0.000000], [-0.044276, 0.257419, 0.656480, -0.073370, 0.703760, -0.012175, 0.000000, 0.000000, 0.000000, 0.000000], [0.416708, 0.515738, -0.093253, 0.575555, -0.007316, 0.469420, 0.000000, 0.000000, 0.000000, 0.000000], [0.163873, -0.204186, 0.389504, -0.444308, -0.312618, 0.696133, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.722355, 20.452514, 27.659816, 28.828096, 93.413960], [12.010536, 13.407478, 18.582023, 19.263005, 49.041323], [11.765498, 12.085138, 17.394727, 19.210752, 90.826279], [1.406047, 1.458820, 1.536617, 2.336550, 63.857650], [11.621769, 13.773419, 17.247051, 18.903017, 41.162099], [4.496983, 4.518466, 6.849057, 7.321698, 17.552383]]
### 8
mean: [-0.457445]
std: [0.742426]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.907537, 12.056040, 17.212987, 17.328344, 41.170060]]
## 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": [
[
-0.271499,
0.050611,
0.47449,
0.089872,
0.809076
],
[
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-0.294305,
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-0.02215
],
[
-0.313567,
0.407413,
0.073975,
0.111488,
-0.504631
],
[
0.034679,
0.222475,
0.473554,
0.193058,
-0.881593
],
[
0.195443,
0.441205,
-0.033973,
0.092687,
-0.551464
],
[
0.65027,
0.315789,
0.490086,
-0.244308,
-0.237553
]
],
"network.0.bias": [
-0.176841,
-0.542219,
0.308905,
0.452012,
0.01411,
-0.024891
],
"network.2.weight": [
[
0.603693,
-0.000686,
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-0.31672,
-0.508437,
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],
[
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-0.129688,
-0.494542,
-0.19819,
-0.323619,
0.021447
],
[
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0.440525,
-0.507023,
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0.397207,
0.360575
],
[
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-0.253301,
-0.00415,
0.178354,
0.172319,
-0.291948
],
[
-0.242441,
0.285914,
0.084604,
-0.271348,
0.027246,
-0.12439
],
[
0.127052,
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0.331103,
-0.61601,
-0.550853,
-0.347513
]
],
"network.2.bias": [
0.086463,
0.296787,
0.363721,
-0.496724,
-0.172258,
-0.160649
],
"network.4.weight": [
[
-0.599414,
-0.047782,
-0.612142,
-0.439062,
0.337956,
0.237871
],
[
0.189003,
0.346575,
0.402947,
0.051268,
-0.018301,
0.001414
],
[
-0.263822,
-0.698524,
0.035811,
-0.180079,
-0.366569,
-0.172369
],
[
0.70364,
0.44586,
0.604566,
-0.38391,
0.09212,
0.398579
],
[
0.282561,
0.738603,
0.414991,
0.177764,
-0.053745,
0.680174
],
[
0.164248,
-0.527381,
0.094088,
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-0.057074,
0.37228
]
],
"network.4.bias": [
0.478597,
-0.005357,
0.214057,
0.05601,
-0.002097,
-0.527044
],
"network.6.weight": [
[
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],
[
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0.016458,
0.228447,
0.38886,
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],
[
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0.008198,
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],
[
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0.114319,
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],
[
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0.226885,
0.241226,
0.428009
],
[
0.087606,
0.003772,
0.029572,
-0.047296,
0.338375,
-0.291034
]
],
"network.6.bias": [
0.209275,
-0.230866,
-0.212655,
-0.487829,
0.038306,
-0.084773
],
"network.8.weight": [
[
-0.248571,
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-0.023307,
0.292583,
-0.312272,
-0.148417
]
],
"network.8.bias": [
0.137753
]
}
## Activation Signature
### 0
mean: [1.759261, -3.252380, 0.432312, 1.216473, 0.508960, 1.566621]
std: [1.872789, 1.817607, 1.344587, 1.813514, 1.411978, 2.127723]
pca: [[-0.200453, 0.652688, -0.394310, 0.484696, -0.247139, 0.286929, 0.000000, 0.000000, 0.000000, 0.000000], [-0.360345, -0.479574, 0.429516, 0.586598, -0.242957, 0.229242, 0.000000, 0.000000, 0.000000, 0.000000], [0.263822, -0.313945, -0.448138, 0.248413, -0.498493, -0.566396, 0.000000, 0.000000, 0.000000, 0.000000], [0.544818, -0.197600, -0.211908, 0.478839, 0.580532, 0.230040, 0.000000, 0.000000, 0.000000, 0.000000], [0.431872, -0.169732, -0.064104, -0.294627, -0.505714, 0.661828, 0.000000, 0.000000, 0.000000, 0.000000], [0.526334, 0.421416, 0.640464, 0.207778, -0.196558, -0.231043, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.180917, 31.309070, 32.932645, 38.109599, 158.333450], [28.377556, 29.836591, 35.522051, 35.683835, 292.714246], [21.537229, 22.660063, 22.699677, 26.365519, 38.908047], [28.219755, 29.327762, 30.911955, 31.694417, 109.482538], [20.048188, 22.150145, 24.072226, 31.196297, 45.806394], [35.445797, 36.073856, 36.596849, 43.785425, 140.995863]]
### 2
mean: [-0.235942, 0.347645, -0.092704, -1.230339, -1.153902, -1.668247]
std: [1.789354, 1.482688, 1.056583, 0.943186, 0.620868, 1.620394]
pca: [[0.648588, -0.067830, -0.029441, 0.190123, 0.620957, -0.390041, 0.000000, 0.000000, 0.000000, 0.000000], [0.489197, -0.414988, 0.169009, 0.434256, -0.384085, 0.473083, 0.000000, 0.000000, 0.000000, 0.000000], [-0.228572, -0.284703, 0.869350, 0.034049, 0.031256, -0.329838, 0.000000, 0.000000, 0.000000, 0.000000], [-0.181497, 0.546585, 0.045427, 0.797009, -0.088305, -0.152377, 0.000000, 0.000000, 0.000000, 0.000000], [0.006172, 0.371785, 0.366866, -0.088279, 0.506094, 0.680604, 0.000000, 0.000000, 0.000000, 0.000000], [0.504773, 0.552403, 0.279543, -0.362076, -0.449427, -0.169787, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.067006, 23.834254, 27.942992, 30.676629, 39.803134], [21.637234, 22.217479, 28.172213, 31.288048, 34.561163], [15.059742, 15.942362, 16.191726, 19.570576, 20.793320], [16.203088, 16.739075, 18.195863, 18.865380, 110.730534], [9.443849, 10.597682, 12.383836, 12.534511, 103.851186], [24.469950, 26.160406, 26.285107, 32.261447, 150.142206]]
### 4
mean: [-0.121527, 0.508052, -0.459555, 1.037281, 0.894988, -0.773343]
std: [0.677668, 0.571137, 1.053301, 1.204966, 1.121700, 0.423231]
pca: [[-0.288637, -0.568311, 0.133581, 0.598163, 0.459548, 0.082969, 0.000000, 0.000000, 0.000000, 0.000000], [0.260380, 0.252139, -0.514481, 0.175610, 0.268536, 0.707804, 0.000000, 0.000000, 0.000000, 0.000000], [-0.473426, 0.615378, -0.288424, 0.362768, 0.147665, -0.400728, 0.000000, 0.000000, 0.000000, 0.000000], [0.563596, 0.257332, 0.341323, -0.013863, 0.643714, -0.291683, 0.000000, 0.000000, 0.000000, 0.000000], [0.527877, -0.027034, -0.067310, 0.653674, -0.495674, -0.207610, 0.000000, 0.000000, 0.000000, 0.000000], [-0.168712, 0.409644, 0.716411, 0.228648, -0.186651, 0.450960, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.937411, 11.620801, 14.075556, 14.688370, 15.967891], [9.125759, 10.794564, 12.675351, 13.937213, 45.724724], [15.997273, 17.073942, 21.156130, 24.255437, 41.359934], [18.349864, 21.045159, 27.502003, 27.782376, 93.355262], [16.036152, 17.260183, 25.494321, 26.172918, 80.548897], [6.893357, 7.782824, 8.549410, 9.001668, 69.600841]]
### 6
mean: [1.037933, 0.544904, -1.009181, -0.709529, 0.457357, 0.195026]
std: [1.219525, 0.819439, 0.806686, 0.094711, 0.783806, 0.308790]
pca: [[0.650862, 0.327475, 0.173037, -0.335861, -0.283840, -0.495811, 0.000000, 0.000000, 0.000000, 0.000000], [0.437227, -0.199803, -0.538829, -0.355252, 0.569104, 0.168790, 0.000000, 0.000000, 0.000000, 0.000000], [-0.427494, 0.692023, -0.297230, -0.476378, -0.049942, 0.143445, 0.000000, 0.000000, 0.000000, 0.000000], [-0.044276, 0.257419, 0.656480, -0.073370, 0.703760, -0.012175, 0.000000, 0.000000, 0.000000, 0.000000], [0.416708, 0.515738, -0.093253, 0.575555, -0.007316, 0.469420, 0.000000, 0.000000, 0.000000, 0.000000], [0.163873, -0.204186, 0.389504, -0.444308, -0.312618, 0.696133, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.722355, 20.452514, 27.659816, 28.828096, 93.413960], [12.010536, 13.407478, 18.582023, 19.263005, 49.041323], [11.765498, 12.085138, 17.394727, 19.210752, 90.826279], [1.406047, 1.458820, 1.536617, 2.336550, 63.857650], [11.621769, 13.773419, 17.247051, 18.903017, 41.162099], [4.496983, 4.518466, 6.849057, 7.321698, 17.552383]]
### 8
mean: [-0.457445]
std: [0.742426]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.907537, 12.056040, 17.212987, 17.328344, 41.170060]]
## 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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"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": [[-0.271499, 0.050611, 0.47449, 0.089872, 0.809076], [-0.378593, -0.23549, -0.294305, -0.544579, -0.02215], [-0.313567, 0.407413, 0.073975, 0.111488, -0.504631], [0.034679, 0.222475, 0.473554, 0.193058, -0.881593], [0.195443, 0.441205, -0.033973, 0.092687, -0.551464], [0.65027, 0.315789, 0.490086, -0.244308, -0.237553]], "network.0.bias": [-0.176841, -0.542219, 0.308905, 0.452012, 0.01411, -0.024891], "network.2.weight": [[0.603693, -0.000686, -0.165936, -0.31672, -0.508437, -0.230624], [0.524099, -0.129688, -0.494542, -0.19819, -0.323619, 0.021447], [-0.365292, 0.440525, -0.507023, -0.234941, 0.397207, 0.360575], [-0.351867, -0.253301, -0.00415, 0.178354, 0.172319, -0.291948], [-0.242441, 0.285914, 0.084604, -0.271348, 0.027246, -0.12439], [0.127052, -0.142483, 0.331103, -0.61601, -0.550853, -0.347513]], "network.2.bias": [0.086463, 0.296787, 0.363721, -0.496724, -0.172258, -0.160649], "network.4.weight": [[-0.599414, -0.047782, -0.612142, -0.439062, 0.337956, 0.237871], [0.189003, 0.346575, 0.402947, 0.051268, -0.018301, 0.001414], [-0.263822, -0.698524, 0.035811, -0.180079, -0.366569, -0.172369], [0.70364, 0.44586, 0.604566, -0.38391, 0.09212, 0.398579], [0.282561, 0.738603, 0.414991, 0.177764, -0.053745, 0.680174], [0.164248, -0.527381, 0.094088, -0.325526, -0.057074, 0.37228]], "network.4.bias": [0.478597, -0.005357, 0.214057, 0.05601, -0.002097, -0.527044], "network.6.weight": [[-0.398577, 0.393973, -0.18554, 0.125944, 0.684425, -0.248973], [0.227438, 0.267649, 0.016458, 0.228447, 0.38886, -0.153142], [-0.39696, 0.25116, 0.008198, -0.366511, -0.5077, 0.144638], [-0.370498, -0.069278, -0.002554, -0.196509, 0.114319, -0.056647], [-0.52241, 0.234335, -0.244555, 0.226885, 0.241226, 0.428009], [0.087606, 0.003772, 0.029572, -0.047296, 0.338375, -0.291034]], "network.6.bias": [0.209275, -0.230866, -0.212655, -0.487829, 0.038306, -0.084773], "network.8.weight": [[-0.248571, -0.225523, -0.023307, 0.292583, -0.312272, -0.148417]], "network.8.bias": [0.137753]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6843383014202118, "train_acc": 0.515, "val_loss": 0.760800302028656, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6372129023075104, "train_acc": 0.605, "val_loss": 0.6549698114395142, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6265397369861603, "train_acc": 0.53, "val_loss": 0.5429673790931702, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5111419260501862, "train_acc": 0.81, "val_loss": 0.5586588382720947, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5054995715618134, "train_acc": 0.75, "val_loss": 0.5346937775611877, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.46333058178424835, "train_acc": 0.775, "val_loss": 0.4746958017349243, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.45154237747192383, "train_acc": 0.79, "val_loss": 0.4574872851371765, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.40658338367938995, "train_acc": 0.805, "val_loss": 0.4546099007129669, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.39152035117149353, "train_acc": 0.83, "val_loss": 0.3813195824623108, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3839387148618698, "train_acc": 0.83, "val_loss": 0.4246024787425995, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.3543414920568466, "train_acc": 0.83, "val_loss": 0.3606335520744324, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.3410768359899521, "train_acc": 0.86, "val_loss": 0.8741999268531799, "val_acc": 0.74}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.760800302028656, "final_val_loss": 0.6549698114395142, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.5429673790931702, "final_val_loss": 0.8741999268531799, "initial_val_acc": 0.9, "final_val_acc": 0.74, "best_val_acc": 0.9, "best_epoch": 2}, "improvement": 0.52, "first_improvement_epoch": 1}}
|
9,620
|
{"target_pattern": "contains_abc", "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": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4884, "learning_rate": 0.04571689240884091, "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: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.8.weight": [
[
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-0.035817,
-0.175029,
-0.413401,
0.05432
],
[
-0.100811,
0.296918,
0.115793,
0.840017,
-0.039516
],
[
0.692777,
0.204605,
0.058594,
-0.826055,
0.468475
],
[
-0.232291,
-0.200851,
-0.343639,
1.185106,
0.276282
],
[
0.721356,
0.854153,
0.029652,
-0.842415,
0.534723
]
],
"network.8.bias": [
-0.44019,
0.294482,
0.24238,
0.812178,
0.110522
],
"network.10.weight": [
[
0.365586,
0.629217,
-1.057185,
0.939865,
-1.074368
]
],
"network.10.bias": [
0.356819
]
}
## Activation Signature
### 0
mean: [1.518475, -2.075774, 0.508373, 2.893575, 2.256101]
std: [2.059883, 1.664456, 1.755044, 2.735609, 2.582552]
pca: [[0.284737, 0.804498, 0.456016, 0.158354, -0.196677, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.346835, 0.038978, -0.138486, 0.923395, 0.079683, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.243948, -0.583874, 0.709277, 0.239701, -0.197609, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.617621, -0.099966, -0.516694, 0.205913, -0.546972, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.598050, -0.019020, -0.053143, 0.149697, 0.785329, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.858411, 35.285254, 40.892841, 46.096186, 136.662736], [28.059185, 29.090904, 29.904080, 30.667061, 186.819643], [29.071379, 29.638950, 33.113150, 38.218473, 45.753610], [43.660364, 50.492949, 55.759645, 55.930998, 260.421723], [42.566953, 46.047611, 48.442569, 48.989400, 203.049055]]
### 2
mean: [-0.650524, 1.584193, 2.218912, -1.050877, -2.526264]
std: [0.991326, 1.989576, 2.555172, 0.756737, 1.846173]
pca: [[-0.239872, 0.465356, 0.839675, 0.008846, 0.144128, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.513029, 0.111077, -0.035241, 0.526031, 0.668216, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.653086, 0.586449, -0.069022, -0.272893, -0.387712, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.189733, 0.224316, -0.097240, 0.794630, -0.522294, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.465556, 0.613894, -0.528662, -0.131548, 0.331064, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.516034, 18.026545, 18.422806, 19.557771, 58.547189], [32.122624, 35.554936, 36.616636, 38.134431, 142.577358], [43.372562, 44.516382, 45.276107, 46.606136, 199.702092], [12.251214, 13.051789, 13.672045, 13.987100, 94.578947], [29.876977, 34.162355, 35.016962, 36.189922, 227.363720]]
### 4
mean: [0.241098, -1.630247, 2.299193, -1.371844, 1.226374]
std: [0.778976, 1.532749, 2.754424, 1.131027, 1.717965]
pca: [[-0.201948, 0.634033, 0.164939, 0.614761, 0.389978, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.398934, -0.156478, -0.319771, -0.366804, 0.761294, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.716938, -0.345274, -0.220078, 0.395204, 0.402697, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.293686, -0.600558, 0.686040, 0.254265, 0.133333, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.447009, 0.305994, 0.592838, -0.516417, 0.297332, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.811032, 13.728165, 14.317921, 14.694524, 21.698797], [26.099261, 26.714256, 26.763335, 27.207930, 146.722189], [47.556515, 47.870969, 48.098241, 49.591274, 206.927345], [19.186471, 19.399357, 19.516986, 20.448228, 123.465970], [29.045797, 29.926056, 30.086845, 30.358251, 110.373679]]
### 6
mean: [2.431511, 2.041905, -0.954416, 0.293510, 2.416649]
std: [3.381669, 2.964063, 0.486398, 1.467221, 2.830692]
pca: [[0.611519, 0.085755, 0.232866, -0.426679, 0.618392, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.535813, -0.383230, -0.178546, 0.725189, 0.090888, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.087487, -0.231119, 0.944435, 0.188447, -0.107052, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.264153, 0.658104, 0.090746, 0.504636, 0.483973, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.511388, 0.599386, 0.117059, 0.043303, -0.603026, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[58.221370, 58.580459, 59.135960, 59.259877, 218.835958], [51.165329, 51.723964, 51.982985, 52.097743, 183.771423], [8.069377, 8.307944, 8.475762, 8.656120, 85.897472], [24.612883, 25.750897, 25.958827, 26.415897, 26.809025], [47.888816, 48.481360, 49.426882, 50.154708, 217.498372]]
### 8
mean: [-0.689413, 1.252361, 2.967553, 1.357397, 4.499876]
std: [0.363234, 0.387964, 4.640762, 1.323709, 6.753928]
pca: [[0.038925, -0.265845, 0.220775, -0.483739, 0.803160, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.012457, 0.597039, -0.557937, 0.265477, 0.511485, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.559504, -0.037678, 0.462002, 0.649367, 0.224526, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.149681, 0.733559, 0.613546, -0.242610, -0.064714, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.814175, 0.182598, -0.223785, -0.463661, -0.196765, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.919857, 6.056055, 6.504453, 6.808583, 62.047209], [6.252048, 6.795230, 7.647791, 8.125661, 112.712502], [78.623581, 80.271265, 80.311111, 81.172489, 267.079826], [20.949677, 22.625398, 23.311944, 24.678028, 122.165708], [114.322000, 115.771519, 115.779566, 118.684993, 404.988789]]
### 10
mean: [-6.333149]
std: [12.443067]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[209.905259, 213.422124, 215.250265, 219.550633, 569.983479]]
## 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: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.603728,
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0.444481,
-0.188517
],
[
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],
[
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-0.404469,
-0.099453
],
[
1.112086,
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0.35567,
0.394508,
0.193438
],
[
1.078016,
0.218313,
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0.205629,
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]
],
"network.0.bias": [
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-0.433723
],
"network.2.weight": [
[
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0.076909
],
[
0.246878,
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0.36475,
0.117264
],
[
0.173292,
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0.045444,
0.615924
],
[
-0.043565,
0.162713,
0.063131,
-0.030871,
-0.264932
],
[
-0.228874,
0.364427,
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0.038945
]
],
"network.2.bias": [
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-0.388088
],
"network.4.weight": [
[
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0.129557
],
[
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-0.16432,
-0.229756
],
[
-0.263132,
0.464783,
0.737996,
-0.137739,
0.118897
],
[
-0.403182,
-0.072702,
-0.407742,
-0.006449,
0.334072
],
[
0.18218,
0.564975,
0.263699,
-0.037831,
0.366344
]
],
"network.4.bias": [
0.864377,
-0.247138,
-0.125065,
-0.287456,
-0.335371
],
"network.6.weight": [
[
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0.300062,
0.8759,
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0.515923
],
[
-0.852254,
-0.362396,
0.609923,
0.00881,
0.617921
],
[
-0.06868,
0.198167,
-0.020323,
-0.319644,
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],
[
0.866326,
0.003318,
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0.163264,
-0.379622
],
[
0.126672,
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0.831167,
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0.367681
]
],
"network.6.bias": [
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0.214411,
-0.523372,
0.850186,
-0.061536
],
"network.8.weight": [
[
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-0.413401,
0.05432
],
[
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0.296918,
0.115793,
0.840017,
-0.039516
],
[
0.692777,
0.204605,
0.058594,
-0.826055,
0.468475
],
[
-0.232291,
-0.200851,
-0.343639,
1.185106,
0.276282
],
[
0.721356,
0.854153,
0.029652,
-0.842415,
0.534723
]
],
"network.8.bias": [
-0.44019,
0.294482,
0.24238,
0.812178,
0.110522
],
"network.10.weight": [
[
0.365586,
0.629217,
-1.057185,
0.939865,
-1.074368
]
],
"network.10.bias": [
0.356819
]
}
## Activation Signature
### 0
mean: [1.518475, -2.075774, 0.508373, 2.893575, 2.256101]
std: [2.059883, 1.664456, 1.755044, 2.735609, 2.582552]
pca: [[0.284737, 0.804498, 0.456016, 0.158354, -0.196677, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.346835, 0.038978, -0.138486, 0.923395, 0.079683, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.243948, -0.583874, 0.709277, 0.239701, -0.197609, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.617621, -0.099966, -0.516694, 0.205913, -0.546972, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.598050, -0.019020, -0.053143, 0.149697, 0.785329, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.858411, 35.285254, 40.892841, 46.096186, 136.662736], [28.059185, 29.090904, 29.904080, 30.667061, 186.819643], [29.071379, 29.638950, 33.113150, 38.218473, 45.753610], [43.660364, 50.492949, 55.759645, 55.930998, 260.421723], [42.566953, 46.047611, 48.442569, 48.989400, 203.049055]]
### 2
mean: [-0.650524, 1.584193, 2.218912, -1.050877, -2.526264]
std: [0.991326, 1.989576, 2.555172, 0.756737, 1.846173]
pca: [[-0.239872, 0.465356, 0.839675, 0.008846, 0.144128, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.513029, 0.111077, -0.035241, 0.526031, 0.668216, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.653086, 0.586449, -0.069022, -0.272893, -0.387712, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.189733, 0.224316, -0.097240, 0.794630, -0.522294, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.465556, 0.613894, -0.528662, -0.131548, 0.331064, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.516034, 18.026545, 18.422806, 19.557771, 58.547189], [32.122624, 35.554936, 36.616636, 38.134431, 142.577358], [43.372562, 44.516382, 45.276107, 46.606136, 199.702092], [12.251214, 13.051789, 13.672045, 13.987100, 94.578947], [29.876977, 34.162355, 35.016962, 36.189922, 227.363720]]
### 4
mean: [0.241098, -1.630247, 2.299193, -1.371844, 1.226374]
std: [0.778976, 1.532749, 2.754424, 1.131027, 1.717965]
pca: [[-0.201948, 0.634033, 0.164939, 0.614761, 0.389978, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.398934, -0.156478, -0.319771, -0.366804, 0.761294, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.716938, -0.345274, -0.220078, 0.395204, 0.402697, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.293686, -0.600558, 0.686040, 0.254265, 0.133333, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.447009, 0.305994, 0.592838, -0.516417, 0.297332, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.811032, 13.728165, 14.317921, 14.694524, 21.698797], [26.099261, 26.714256, 26.763335, 27.207930, 146.722189], [47.556515, 47.870969, 48.098241, 49.591274, 206.927345], [19.186471, 19.399357, 19.516986, 20.448228, 123.465970], [29.045797, 29.926056, 30.086845, 30.358251, 110.373679]]
### 6
mean: [2.431511, 2.041905, -0.954416, 0.293510, 2.416649]
std: [3.381669, 2.964063, 0.486398, 1.467221, 2.830692]
pca: [[0.611519, 0.085755, 0.232866, -0.426679, 0.618392, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.535813, -0.383230, -0.178546, 0.725189, 0.090888, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.087487, -0.231119, 0.944435, 0.188447, -0.107052, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.264153, 0.658104, 0.090746, 0.504636, 0.483973, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.511388, 0.599386, 0.117059, 0.043303, -0.603026, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[58.221370, 58.580459, 59.135960, 59.259877, 218.835958], [51.165329, 51.723964, 51.982985, 52.097743, 183.771423], [8.069377, 8.307944, 8.475762, 8.656120, 85.897472], [24.612883, 25.750897, 25.958827, 26.415897, 26.809025], [47.888816, 48.481360, 49.426882, 50.154708, 217.498372]]
### 8
mean: [-0.689413, 1.252361, 2.967553, 1.357397, 4.499876]
std: [0.363234, 0.387964, 4.640762, 1.323709, 6.753928]
pca: [[0.038925, -0.265845, 0.220775, -0.483739, 0.803160, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.012457, 0.597039, -0.557937, 0.265477, 0.511485, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.559504, -0.037678, 0.462002, 0.649367, 0.224526, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.149681, 0.733559, 0.613546, -0.242610, -0.064714, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.814175, 0.182598, -0.223785, -0.463661, -0.196765, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.919857, 6.056055, 6.504453, 6.808583, 62.047209], [6.252048, 6.795230, 7.647791, 8.125661, 112.712502], [78.623581, 80.271265, 80.311111, 81.172489, 267.079826], [20.949677, 22.625398, 23.311944, 24.678028, 122.165708], [114.322000, 115.771519, 115.779566, 118.684993, 404.988789]]
### 10
mean: [-6.333149]
std: [12.443067]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[209.905259, 213.422124, 215.250265, 219.550633, 569.983479]]
## 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": 1.518474817276001, "std": 2.0598831176757812, "pca": [0.28473716974258423, 0.8044975996017456, 0.4560161828994751, 0.15835368633270264, -0.19667679071426392, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [30.85841126829529, 35.2852538238067, 40.89284082742646, 46.096185677917305, 136.6627357006073]}, "1": {"mean": -2.0757739543914795, "std": 1.664455771446228, "pca": [-0.3468354642391205, 0.038977835327386856, -0.1384858340024948, 0.9233949184417725, 0.07968317717313766, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [28.05918454823785, 29.09090383485091, 29.90408021140742, 30.66706080643943, 186.81964311003685]}, "2": {"mean": 0.5083734393119812, "std": 1.7550437450408936, "pca": [0.2439478635787964, -0.5838744044303894, 0.7092772722244263, 0.23970121145248413, -0.19760863482952118, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [29.071379407876147, 29.638950105065927, 33.11315047489482, 38.218472793031424, 45.75361043214798]}, "3": {"mean": 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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": [[0.489547, 0.603728, -0.465493, 0.444481, -0.188517], [-0.437124, -0.443596, -0.001043, 0.098639, -0.443186], [0.192253, 0.351512, 0.605974, -0.404469, -0.099453], [1.112086, -0.047422, 0.35567, 0.394508, 0.193438], [1.078016, 0.218313, 0.196597, 0.205629, 0.080149]], "network.0.bias": [0.060837, -0.386217, -0.647199, -0.231469, -0.433723], "network.2.weight": [[-0.314149, 0.440155, -0.03287, -0.276951, 0.076909], [0.246878, -0.040922, 0.493292, 0.36475, 0.117264], [0.173292, -0.235277, 0.724575, 0.045444, 0.615924], [-0.043565, 0.162713, 0.063131, -0.030871, -0.264932], [-0.228874, 0.364427, -0.033769, -0.615561, 0.038945]], "network.2.bias": [0.558282, -0.674176, -0.36039, -0.337768, -0.388088], "network.4.weight": [[0.437881, -0.049635, -0.257409, -0.095183, 0.129557], [-0.085684, -0.428324, -0.290115, -0.16432, -0.229756], [-0.263132, 0.464783, 0.737996, -0.137739, 0.118897], [-0.403182, -0.072702, -0.407742, -0.006449, 0.334072], [0.18218, 0.564975, 0.263699, -0.037831, 0.366344]], "network.4.bias": [0.864377, -0.247138, -0.125065, -0.287456, -0.335371], "network.6.weight": [[-0.440493, 0.300062, 0.8759, -0.366471, 0.515923], [-0.852254, -0.362396, 0.609923, 0.00881, 0.617921], [-0.06868, 0.198167, -0.020323, -0.319644, -0.271874], [0.866326, 0.003318, -0.201047, 0.163264, -0.379622], [0.126672, -0.168958, 0.831167, -0.360324, 0.367681]], "network.6.bias": [-0.078269, 0.214411, -0.523372, 0.850186, -0.061536], "network.8.weight": [[0.007892, -0.035817, -0.175029, -0.413401, 0.05432], [-0.100811, 0.296918, 0.115793, 0.840017, -0.039516], [0.692777, 0.204605, 0.058594, -0.826055, 0.468475], [-0.232291, -0.200851, -0.343639, 1.185106, 0.276282], [0.721356, 0.854153, 0.029652, -0.842415, 0.534723]], "network.8.bias": [-0.44019, 0.294482, 0.24238, 0.812178, 0.110522], "network.10.weight": [[0.365586, 0.629217, -1.057185, 0.939865, -1.074368]], "network.10.bias": [0.356819]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.672298401594162, "train_acc": 0.595, "val_loss": 0.717769980430603, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.666832834482193, "train_acc": 0.595, "val_loss": 0.6888689994812012, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6227097809314728, "train_acc": 0.595, "val_loss": 0.6452977061271667, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6186893880367279, "train_acc": 0.51, "val_loss": 0.5432634949684143, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5066366344690323, "train_acc": 0.59, "val_loss": 0.47880104184150696, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4168563038110733, "train_acc": 0.825, "val_loss": 0.3772151470184326, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3536643832921982, "train_acc": 0.905, "val_loss": 0.2999744117259979, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.2796117812395096, "train_acc": 0.905, "val_loss": 0.28296855092048645, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.23075594753026962, "train_acc": 0.925, "val_loss": 0.17534099519252777, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2007589265704155, "train_acc": 0.92, "val_loss": 0.13879971206188202, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.17819394171237946, "train_acc": 0.93, "val_loss": 0.1689259111881256, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.180425763130188, "train_acc": 0.935, "val_loss": 0.14080356061458588, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.1916598193347454, "train_acc": 0.93, "val_loss": 0.07767700403928757, "val_acc": 0.96}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.717769980430603, "final_val_loss": 0.6452977061271667, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5432634949684143, "final_val_loss": 0.07767700403928757, "initial_val_acc": 0.46, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 11}, "improvement": 0.49999999999999994, "first_improvement_epoch": 2}}
|
9,621
|
{"target_pattern": "alternating", "degraded_accuracy": 0.74, "improved_accuracy": 1.0, "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": 6235, "learning_rate": 0.02184450780340863, "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:
{
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],
[
0.563748,
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0.695862
],
[
0.438283,
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0.424182,
0.446085,
0.625151
],
[
-0.219738,
-0.127916,
0.07681,
-0.146603,
-0.051629
],
[
0.694459,
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0.007956,
0.065085,
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]
],
"network.8.bias": [
0.330981,
-0.230025,
-0.394876,
-0.289198,
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],
"network.10.weight": [
[
0.417144,
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-0.529391,
-0.15418,
-0.274717
]
],
"network.10.bias": [
0.353644
]
}
## Activation Signature
### 0
mean: [-0.690602, -0.174128, 0.440824, 0.649004, 1.733119]
std: [1.294909, 1.627068, 1.571685, 1.164278, 1.460289]
pca: [[0.020580, -0.649566, 0.262940, -0.020110, 0.712811, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.627296, 0.195791, -0.591986, -0.225416, 0.408541, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.649342, 0.138281, -0.257845, -0.677618, 0.183259, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.419858, 0.255595, -0.366034, 0.695313, 0.375433, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.090283, 0.674744, 0.616401, -0.078468, 0.387894, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.491616, 19.299464, 19.912498, 30.559242, 62.154153], [22.289070, 23.249624, 25.949788, 27.173223, 29.432750], [25.570424, 25.795965, 27.007332, 29.857128, 39.674142], [17.151784, 18.476025, 20.176479, 21.696097, 58.410322], [20.825848, 21.322742, 26.643346, 31.073530, 155.980716]]
### 2
mean: [1.587073, -1.207019, -0.536240, 1.846931, 0.139307]
std: [1.103598, 0.823463, 0.333064, 1.448601, 0.591487]
pca: [[0.574041, 0.133872, 0.665972, 0.406732, -0.208820, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.247067, 0.734488, -0.278227, 0.322898, -0.466704, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.080135, 0.291958, -0.013052, 0.465345, 0.831638, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.773933, 0.211340, -0.549593, -0.206789, 0.107465, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.063570, -0.559197, -0.420533, 0.686293, -0.188177, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.703540, 20.540997, 21.688551, 22.312805, 142.836543], [12.169632, 12.790458, 13.822521, 16.149858, 108.631700], [4.652114, 4.964183, 5.747942, 5.998016, 48.261560], [23.201383, 23.467155, 26.689224, 27.057586, 166.223789], [9.499597, 9.599777, 9.609425, 9.738164, 12.537642]]
### 4
mean: [-1.188356, -0.293189, 1.244323, 2.039128, -1.535394]
std: [1.130464, 0.303583, 1.256415, 1.590762, 1.049466]
pca: [[-0.441013, 0.463150, -0.310550, 0.081587, 0.698500, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.071450, 0.478829, 0.737320, -0.470712, 0.020184, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.488181, 0.544814, -0.527024, -0.355958, -0.245757, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.627832, 0.246925, 0.286181, 0.616500, 0.287894, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.409766, 0.445445, 0.016266, 0.514777, -0.606968, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.539033, 19.938117, 21.310879, 22.892958, 106.952015], [4.632476, 5.020001, 5.028686, 5.310550, 26.386978], [21.324221, 21.740182, 21.906960, 22.838995, 111.989052], [28.501990, 29.235426, 29.463525, 30.422628, 183.521525], [17.471158, 17.870608, 19.340314, 21.432747, 138.185453]]
### 6
mean: [1.456641, 1.232755, 1.294982, -1.801931, 1.915498]
std: [1.358120, 1.081441, 1.086048, 1.225735, 1.726438]
pca: [[0.461275, -0.092058, -0.495596, -0.567572, -0.459345, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.366749, 0.594445, 0.631990, -0.087974, -0.324007, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.368722, -0.368129, 0.001338, 0.724025, -0.452008, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.415958, -0.544418, 0.488859, -0.331838, -0.426014, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.586296, -0.454148, 0.340572, -0.189194, 0.546098, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.333031, 24.185869, 24.855282, 25.350501, 131.097669], [19.235552, 19.864159, 20.011511, 20.432630, 110.947973], [18.746960, 18.836988, 20.183732, 20.355877, 116.548366], [21.226754, 22.390518, 22.708674, 22.957045, 162.173788], [30.074353, 30.218361, 31.946275, 32.328850, 172.394782]]
### 8
mean: [0.227984, 2.661254, 2.639300, -0.729205, 1.039235]
std: [0.143209, 2.891733, 3.021928, 0.464155, 1.319188]
pca: [[-0.032171, -0.408879, -0.320635, 0.742577, -0.421374, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.655361, -0.523835, -0.331693, -0.428981, -0.045323, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.684863, 0.621832, -0.103459, 0.360737, 0.058762, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.105174, -0.167406, -0.372092, 0.239023, 0.874831, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.298944, -0.379099, 0.798760, 0.278014, 0.227173, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.543348, 2.654128, 2.657085, 2.709433, 20.518537], [49.746354, 50.560747, 53.673507, 54.351410, 239.512852], [52.396828, 53.277263, 56.366045, 56.901156, 237.537011], [8.019082, 8.268824, 8.639636, 8.690209, 65.628445], [22.563945, 23.128746, 24.497384, 24.624476, 93.531207]]
### 10
mean: [-2.176049]
std: [3.025224]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.919412, 52.349225, 56.429673, 57.655490, 195.844459]]
## 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": [
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0.400222,
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],
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[
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0.322583
],
[
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0.38386,
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],
[
0.093882,
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]
],
"network.0.bias": [
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0.261659,
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],
"network.2.weight": [
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],
[
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],
[
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0.059476,
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],
[
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0.7814,
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0.243597
],
[
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]
],
"network.2.bias": [
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0.156422,
0.312419
],
"network.4.weight": [
[
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],
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],
[
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],
[
0.485299,
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0.70349,
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],
[
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0.150468,
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]
],
"network.4.bias": [
0.21195,
-0.030236,
-0.13425,
0.206172,
-0.181452
],
"network.6.weight": [
[
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0.066398,
0.588224,
0.368801,
0.217596
],
[
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0.550931,
0.239413
],
[
0.419256,
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0.382704,
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],
[
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],
[
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0.146525
]
],
"network.6.bias": [
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0.149612
],
"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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-0.529391,
-0.15418,
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]
],
"network.10.bias": [
0.353644
]
}
## Activation Signature
### 0
mean: [-0.690602, -0.174128, 0.440824, 0.649004, 1.733119]
std: [1.294909, 1.627068, 1.571685, 1.164278, 1.460289]
pca: [[0.020580, -0.649566, 0.262940, -0.020110, 0.712811, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.627296, 0.195791, -0.591986, -0.225416, 0.408541, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.649342, 0.138281, -0.257845, -0.677618, 0.183259, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.419858, 0.255595, -0.366034, 0.695313, 0.375433, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.090283, 0.674744, 0.616401, -0.078468, 0.387894, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.491616, 19.299464, 19.912498, 30.559242, 62.154153], [22.289070, 23.249624, 25.949788, 27.173223, 29.432750], [25.570424, 25.795965, 27.007332, 29.857128, 39.674142], [17.151784, 18.476025, 20.176479, 21.696097, 58.410322], [20.825848, 21.322742, 26.643346, 31.073530, 155.980716]]
### 2
mean: [1.587073, -1.207019, -0.536240, 1.846931, 0.139307]
std: [1.103598, 0.823463, 0.333064, 1.448601, 0.591487]
pca: [[0.574041, 0.133872, 0.665972, 0.406732, -0.208820, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.247067, 0.734488, -0.278227, 0.322898, -0.466704, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.080135, 0.291958, -0.013052, 0.465345, 0.831638, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.773933, 0.211340, -0.549593, -0.206789, 0.107465, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.063570, -0.559197, -0.420533, 0.686293, -0.188177, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.703540, 20.540997, 21.688551, 22.312805, 142.836543], [12.169632, 12.790458, 13.822521, 16.149858, 108.631700], [4.652114, 4.964183, 5.747942, 5.998016, 48.261560], [23.201383, 23.467155, 26.689224, 27.057586, 166.223789], [9.499597, 9.599777, 9.609425, 9.738164, 12.537642]]
### 4
mean: [-1.188356, -0.293189, 1.244323, 2.039128, -1.535394]
std: [1.130464, 0.303583, 1.256415, 1.590762, 1.049466]
pca: [[-0.441013, 0.463150, -0.310550, 0.081587, 0.698500, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.071450, 0.478829, 0.737320, -0.470712, 0.020184, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.488181, 0.544814, -0.527024, -0.355958, -0.245757, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.627832, 0.246925, 0.286181, 0.616500, 0.287894, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.409766, 0.445445, 0.016266, 0.514777, -0.606968, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.539033, 19.938117, 21.310879, 22.892958, 106.952015], [4.632476, 5.020001, 5.028686, 5.310550, 26.386978], [21.324221, 21.740182, 21.906960, 22.838995, 111.989052], [28.501990, 29.235426, 29.463525, 30.422628, 183.521525], [17.471158, 17.870608, 19.340314, 21.432747, 138.185453]]
### 6
mean: [1.456641, 1.232755, 1.294982, -1.801931, 1.915498]
std: [1.358120, 1.081441, 1.086048, 1.225735, 1.726438]
pca: [[0.461275, -0.092058, -0.495596, -0.567572, -0.459345, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.366749, 0.594445, 0.631990, -0.087974, -0.324007, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.368722, -0.368129, 0.001338, 0.724025, -0.452008, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.415958, -0.544418, 0.488859, -0.331838, -0.426014, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.586296, -0.454148, 0.340572, -0.189194, 0.546098, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.333031, 24.185869, 24.855282, 25.350501, 131.097669], [19.235552, 19.864159, 20.011511, 20.432630, 110.947973], [18.746960, 18.836988, 20.183732, 20.355877, 116.548366], [21.226754, 22.390518, 22.708674, 22.957045, 162.173788], [30.074353, 30.218361, 31.946275, 32.328850, 172.394782]]
### 8
mean: [0.227984, 2.661254, 2.639300, -0.729205, 1.039235]
std: [0.143209, 2.891733, 3.021928, 0.464155, 1.319188]
pca: [[-0.032171, -0.408879, -0.320635, 0.742577, -0.421374, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.655361, -0.523835, -0.331693, -0.428981, -0.045323, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.684863, 0.621832, -0.103459, 0.360737, 0.058762, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.105174, -0.167406, -0.372092, 0.239023, 0.874831, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.298944, -0.379099, 0.798760, 0.278014, 0.227173, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.543348, 2.654128, 2.657085, 2.709433, 20.518537], [49.746354, 50.560747, 53.673507, 54.351410, 239.512852], [52.396828, 53.277263, 56.366045, 56.901156, 237.537011], [8.019082, 8.268824, 8.639636, 8.690209, 65.628445], [22.563945, 23.128746, 24.497384, 24.624476, 93.531207]]
### 10
mean: [-2.176049]
std: [3.025224]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.919412, 52.349225, 56.429673, 57.655490, 195.844459]]
## 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": -0.6906017065048218, "std": 1.2949093580245972, "pca": [0.020580481737852097, -0.6495657563209534, 0.26293957233428955, -0.02011040225625038, 0.7128106951713562, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [18.491616218568947, 19.299464312257324, 19.912497910257652, 30.55924225314726, 62.154153153300285]}, "1": {"mean": -0.17412757873535156, "std": 1.6270684003829956, "pca": [-0.6272956132888794, 0.19579079747200012, -0.5919864773750305, -0.22541587054729462, 0.40854117274284363, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [22.289070020500585, 23.249623908403272, 25.94978778501428, 27.17322299896134, 29.432749680497057]}, "2": {"mean": 0.4408237338066101, "std": 1.5716853141784668, "pca": [0.649341881275177, 0.13828051090240479, -0.2578447759151459, -0.6776177883148193, 0.18325895071029663, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [25.570423876910038, 25.795965179584897, 27.007332157762015, 29.857127929627723, 39.67414180934429]}, "3": 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"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": [[0.144777, -0.517431, -0.358741, 0.400222, -0.165184], [0.480546, 0.400072, -0.284909, -0.461771, -0.265142], [-0.772717, 0.001696, 0.390321, -0.035213, 0.322583], [-0.575014, 0.140362, 0.38386, -0.149886, 0.162583], [0.093882, 0.499523, 0.357724, -0.056295, 0.237088]], "network.0.bias": [0.166948, 0.411234, 0.261659, 0.427867, -0.212887], "network.2.weight": [[0.026819, 0.563344, 0.4425, 0.610971, 0.265603], [-0.217496, 0.392236, 0.400916, -0.253256, -0.614878], [-0.249578, 0.214507, 0.059476, 0.021942, -0.255932], [0.11376, 0.200195, 0.7814, 0.774651, 0.243597], [-0.67108, -0.555443, -0.446164, 0.085739, 0.261809]], "network.2.bias": [0.091859, -0.424538, -0.224145, 0.156422, 0.312419], "network.4.weight": [[-0.463192, -0.232476, -0.130888, -0.414921, -0.08403], [0.176417, 0.049087, -0.255421, -0.266834, -0.469389], [0.048326, -0.164542, -0.623888, 0.769717, -0.783821], [0.485299, -0.265987, 0.291413, 0.70349, -0.665593], [-0.336867, 0.029482, 0.150468, -0.454253, -0.137686]], "network.4.bias": [0.21195, -0.030236, -0.13425, 0.206172, -0.181452], "network.6.weight": [[-0.279083, 0.066398, 0.588224, 0.368801, 0.217596], [-0.127163, 0.260811, 0.133766, 0.550931, 0.239413], [0.419256, -0.201492, 0.382704, 0.342586, 0.391133], [0.278172, 0.431489, -0.203921, -0.583419, 0.149271], [0.488731, 0.200784, 0.664956, 0.531592, 0.146525]], "network.6.bias": [0.048983, 0.032684, 0.218828, -0.35338, 0.149612], "network.8.weight": [[-0.048512, -0.171823, 0.195351, -0.217219, -0.05045], [0.563748, 0.059767, 0.67545, 0.499156, 0.695862], [0.438283, 0.705564, 0.424182, 0.446085, 0.625151], [-0.219738, -0.127916, 0.07681, -0.146603, -0.051629], [0.694459, -0.033226, 0.007956, 0.065085, 0.209294]], "network.8.bias": [0.330981, -0.230025, -0.394876, -0.289198, -0.270423], "network.10.weight": [[0.417144, -0.354947, -0.529391, -0.15418, -0.274717]], "network.10.bias": [0.353644]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7283904254436493, "train_acc": 0.435, "val_loss": 0.6971354484558105, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.705917090177536, "train_acc": 0.445, "val_loss": 0.6806256175041199, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6870438456535339, "train_acc": 0.54, "val_loss": 0.6560273766517639, "val_acc": 0.74}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6491957306861877, "train_acc": 0.65, "val_loss": 0.6090952157974243, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5983498990535736, "train_acc": 0.68, "val_loss": 0.5566577315330505, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.535707950592041, "train_acc": 0.74, "val_loss": 0.49094048142433167, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.47677338123321533, "train_acc": 0.865, "val_loss": 0.4123843312263489, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.38181883096694946, "train_acc": 0.92, "val_loss": 0.3332219421863556, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3347843587398529, "train_acc": 0.935, "val_loss": 0.2621849477291107, "val_acc": 1.0}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.28171324729919434, "train_acc": 0.95, "val_loss": 0.21292513608932495, "val_acc": 1.0}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.25476033985614777, "train_acc": 0.955, "val_loss": 0.18730367720127106, "val_acc": 1.0}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.21671878546476364, "train_acc": 0.97, "val_loss": 0.1676265299320221, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.19687435030937195, "train_acc": 0.98, "val_loss": 0.14629659056663513, "val_acc": 1.0}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6971354484558105, "final_val_loss": 0.6560273766517639, "initial_val_acc": 0.5, "final_val_acc": 0.74, "best_val_acc": 0.74}, "improved_stage": {"initial_val_loss": 0.6090952157974243, "final_val_loss": 0.14629659056663513, "initial_val_acc": 0.72, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 8}, "improvement": 0.26, "first_improvement_epoch": 2}}
|
9,622
|
{"target_pattern": "alternating", "degraded_accuracy": 0.7, "improved_accuracy": 1.0, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9316, "learning_rate": 0.07202976046868892, "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: 6
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.2.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": [
0.820398,
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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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],
"network.10.bias": [
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}
## Activation Signature
### 0
mean: [-2.051557, -0.410603, -1.161952, 0.547034, -1.596795, -1.663224]
std: [2.711133, 1.829205, 1.818438, 1.587509, 1.532007, 1.517732]
pca: [[0.683221, 0.685490, -0.199312, 0.143893, -0.045442, -0.028591, 0.000000, 0.000000, 0.000000, 0.000000], [0.407693, -0.193897, 0.651463, -0.044026, 0.458987, -0.398973, 0.000000, 0.000000, 0.000000, 0.000000], [0.241110, -0.414983, -0.642789, 0.134749, 0.579478, 0.050255, 0.000000, 0.000000, 0.000000, 0.000000], [0.195889, -0.332362, 0.174684, 0.824626, -0.332542, 0.173370, 0.000000, 0.000000, 0.000000, 0.000000], [0.411354, -0.245818, 0.172332, -0.435156, -0.118415, 0.732994, 0.000000, 0.000000, 0.000000, 0.000000], [0.318241, -0.386529, -0.249962, -0.299719, -0.571721, -0.519750, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.239463, 51.010723, 52.864208, 55.714329, 184.640130], [27.232063, 28.818185, 29.728659, 31.236227, 36.954314], [25.809906, 29.108155, 30.776922, 34.417723, 104.575674], [24.841259, 25.594692, 28.884918, 28.911520, 49.233098], [25.417057, 25.449542, 26.705839, 28.514872, 143.711597], [21.895870, 26.337337, 26.699235, 28.756433, 149.690161]]
### 2
mean: [-0.541703, -0.905703, -0.667063, 0.388737, -0.926267, -0.720081]
std: [1.635359, 1.669285, 1.252793, 0.948121, 1.643752, 1.819623]
pca: [[0.437251, -0.376559, 0.609433, -0.127918, -0.369125, -0.378140, 0.000000, 0.000000, 0.000000, 0.000000], [0.451570, -0.121777, 0.231013, 0.629344, 0.371286, 0.440410, 0.000000, 0.000000, 0.000000, 0.000000], [0.326919, 0.727552, -0.109693, 0.363640, -0.376804, -0.278468, 0.000000, 0.000000, 0.000000, 0.000000], [-0.238109, 0.526704, 0.693742, -0.223490, 0.365040, 0.037507, 0.000000, 0.000000, 0.000000, 0.000000], [0.445443, 0.031885, -0.266989, -0.251710, 0.648713, -0.495070, 0.000000, 0.000000, 0.000000, 0.000000], [0.492853, 0.188701, -0.103109, -0.584827, -0.172713, 0.582240, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.955608, 26.876729, 31.362753, 38.511760, 48.753244], [25.279097, 26.830861, 32.796758, 37.758786, 81.513282], [18.772756, 20.324437, 24.955066, 26.162273, 60.035648], [12.060306, 16.155455, 18.660872, 20.883922, 34.986370], [23.491976, 25.527481, 34.164584, 36.842881, 83.364022], [26.786212, 29.550526, 37.488111, 41.072056, 64.807281]]
### 4
mean: [-0.604132, 0.209090, -0.329203, -0.500026, 0.078633, -0.387571]
std: [0.191771, 0.961822, 0.454949, 0.306063, 0.950409, 0.460151]
pca: [[-0.022900, 0.605295, 0.703518, 0.088470, -0.200472, -0.300233, 0.000000, 0.000000, 0.000000, 0.000000], [0.636299, 0.050962, 0.076989, 0.371689, 0.662426, -0.098178, 0.000000, 0.000000, 0.000000, 0.000000], [0.296990, -0.178260, 0.503543, -0.400054, -0.004397, 0.682937, 0.000000, 0.000000, 0.000000, 0.000000], [0.143421, 0.736435, -0.448563, -0.416303, 0.123540, 0.217521, 0.000000, 0.000000, 0.000000, 0.000000], [0.627838, -0.185688, -0.098249, -0.383772, -0.432680, -0.476649, 0.000000, 0.000000, 0.000000, 0.000000], [0.302731, 0.149761, -0.186325, 0.611056, -0.564367, 0.399136, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.028311, 3.072778, 3.348530, 4.170902, 54.371909], [12.499140, 13.303354, 13.891271, 18.818093, 18.940398], [5.508993, 5.651440, 5.808354, 8.304642, 29.628296], [4.964893, 5.509169, 5.594654, 5.644948, 45.002367], [11.574364, 12.076727, 12.326596, 14.221253, 18.435399], [6.102578, 6.876758, 6.961680, 9.246778, 34.881398]]
### 6
mean: [0.794341, -0.011667, -0.095428, 0.279736, 0.693955, 0.601854]
std: [1.197591, 0.538382, 0.300039, 0.803976, 0.742352, 1.135883]
pca: [[0.577423, 0.618686, 0.215600, -0.391570, -0.288070, -0.031886, 0.000000, 0.000000, 0.000000, 0.000000], [-0.259573, -0.218959, 0.284787, -0.524654, -0.143142, 0.712617, 0.000000, 0.000000, 0.000000, 0.000000], [-0.144600, 0.412503, -0.109040, -0.254810, 0.849687, 0.100726, 0.000000, 0.000000, 0.000000, 0.000000], [-0.387646, -0.103516, 0.458131, -0.424788, -0.004908, -0.669823, 0.000000, 0.000000, 0.000000, 0.000000], [-0.357886, 0.461473, 0.567034, 0.549474, -0.068216, 0.175665, 0.000000, 0.000000, 0.000000, 0.000000], [0.547671, -0.418872, 0.573683, 0.155296, 0.412165, 0.038650, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.550637, 15.968094, 17.235861, 21.618758, 71.490685], [6.449459, 6.549427, 7.149350, 7.765152, 9.760951], [3.588447, 3.930630, 4.249517, 5.492612, 8.588536], [9.771872, 10.649954, 11.571031, 14.611459, 25.176273], [9.001703, 9.779380, 10.622342, 13.573168, 62.455971], [13.592479, 15.109963, 16.215609, 20.584306, 54.166879]]
### 8
mean: [-0.551594, 1.402469, -0.721390, -0.386478, 2.281011, -1.159026]
std: [1.032288, 1.474886, 1.822567, 1.739850, 2.133382, 0.613826]
pca: [[-0.271481, 0.129346, 0.533603, 0.165330, 0.439155, -0.636117, 0.000000, 0.000000, 0.000000, 0.000000], [0.388061, -0.112819, -0.144863, 0.476800, 0.705546, 0.300935, 0.000000, 0.000000, 0.000000, 0.000000], [-0.479056, 0.321479, 0.426255, 0.199021, -0.016797, 0.667512, 0.000000, 0.000000, 0.000000, 0.000000], [-0.457329, -0.302924, -0.355242, 0.689229, -0.264120, -0.167616, 0.000000, 0.000000, 0.000000, 0.000000], [0.561423, -0.063258, 0.521572, 0.420518, -0.480157, -0.037140, 0.000000, 0.000000, 0.000000, 0.000000], [0.147876, 0.878310, -0.338164, 0.232049, -0.093573, -0.172474, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.554501, 13.796200, 14.099920, 19.548695, 49.643479], [19.279332, 19.350232, 20.305383, 27.821163, 126.222215], [24.040872, 24.769373, 24.894265, 34.566619, 64.925106], [22.103741, 22.286364, 24.416275, 32.408856, 34.783013], [27.302750, 27.799067, 29.603190, 40.130193, 205.290955], [8.389308, 8.403352, 8.749867, 10.228010, 104.312364]]
### 10
mean: [-2.821148]
std: [3.199334]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.534318, 43.356694, 43.444885, 59.536899, 253.903337]]
## 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: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.493581,
0.361034,
-1.002808,
0.165918,
-0.451578
],
[
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-0.108676,
0.51052,
0.419302
],
[
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0.415192,
0.23028,
-0.718569,
0.281832
],
[
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-0.099469,
0.580091,
0.245814,
0.01347
],
[
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],
[
-0.528899,
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0.397722
]
],
"network.0.bias": [
0.200689,
-0.341455,
-0.229868,
-0.199665,
-0.409106,
-0.324171
],
"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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0.12469,
0.206912,
-0.104924,
0.114211,
0.455254
],
"network.4.weight": [
[
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],
[
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0.199939,
0.941287,
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0.736578,
0.350826
],
[
0.14607,
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0.268386,
-0.050598,
0.401091,
0.370768
],
[
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0.3892,
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],
[
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0.26168,
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0.473423,
0.785888
],
[
0.406414,
0.028164,
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-0.201485,
-0.191881,
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]
],
"network.4.bias": [
-0.540823,
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-0.539255,
-0.361375,
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-0.505442
],
"network.6.weight": [
[
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-1.008893,
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-1.18907
],
[
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0.222387,
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0.498279,
0.079378
],
[
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0.350783,
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0.246198
],
[
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0.308086,
0.470744,
0.633528,
0.223158
],
[
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0.174232,
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0.374375,
0.376722
],
[
-0.936629,
-0.542739,
-1.210104,
-1.029145,
-0.558057,
-0.884986
]
],
"network.6.bias": [
0.820398,
-0.099248,
-0.109185,
0.087002,
0.328433,
0.600478
],
"network.8.weight": [
[
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0.14742,
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],
[
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-0.012673,
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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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0.131257,
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],
"network.10.weight": [
[
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0.399855,
0.562723,
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0.437379
]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-2.051557, -0.410603, -1.161952, 0.547034, -1.596795, -1.663224]
std: [2.711133, 1.829205, 1.818438, 1.587509, 1.532007, 1.517732]
pca: [[0.683221, 0.685490, -0.199312, 0.143893, -0.045442, -0.028591, 0.000000, 0.000000, 0.000000, 0.000000], [0.407693, -0.193897, 0.651463, -0.044026, 0.458987, -0.398973, 0.000000, 0.000000, 0.000000, 0.000000], [0.241110, -0.414983, -0.642789, 0.134749, 0.579478, 0.050255, 0.000000, 0.000000, 0.000000, 0.000000], [0.195889, -0.332362, 0.174684, 0.824626, -0.332542, 0.173370, 0.000000, 0.000000, 0.000000, 0.000000], [0.411354, -0.245818, 0.172332, -0.435156, -0.118415, 0.732994, 0.000000, 0.000000, 0.000000, 0.000000], [0.318241, -0.386529, -0.249962, -0.299719, -0.571721, -0.519750, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.239463, 51.010723, 52.864208, 55.714329, 184.640130], [27.232063, 28.818185, 29.728659, 31.236227, 36.954314], [25.809906, 29.108155, 30.776922, 34.417723, 104.575674], [24.841259, 25.594692, 28.884918, 28.911520, 49.233098], [25.417057, 25.449542, 26.705839, 28.514872, 143.711597], [21.895870, 26.337337, 26.699235, 28.756433, 149.690161]]
### 2
mean: [-0.541703, -0.905703, -0.667063, 0.388737, -0.926267, -0.720081]
std: [1.635359, 1.669285, 1.252793, 0.948121, 1.643752, 1.819623]
pca: [[0.437251, -0.376559, 0.609433, -0.127918, -0.369125, -0.378140, 0.000000, 0.000000, 0.000000, 0.000000], [0.451570, -0.121777, 0.231013, 0.629344, 0.371286, 0.440410, 0.000000, 0.000000, 0.000000, 0.000000], [0.326919, 0.727552, -0.109693, 0.363640, -0.376804, -0.278468, 0.000000, 0.000000, 0.000000, 0.000000], [-0.238109, 0.526704, 0.693742, -0.223490, 0.365040, 0.037507, 0.000000, 0.000000, 0.000000, 0.000000], [0.445443, 0.031885, -0.266989, -0.251710, 0.648713, -0.495070, 0.000000, 0.000000, 0.000000, 0.000000], [0.492853, 0.188701, -0.103109, -0.584827, -0.172713, 0.582240, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.955608, 26.876729, 31.362753, 38.511760, 48.753244], [25.279097, 26.830861, 32.796758, 37.758786, 81.513282], [18.772756, 20.324437, 24.955066, 26.162273, 60.035648], [12.060306, 16.155455, 18.660872, 20.883922, 34.986370], [23.491976, 25.527481, 34.164584, 36.842881, 83.364022], [26.786212, 29.550526, 37.488111, 41.072056, 64.807281]]
### 4
mean: [-0.604132, 0.209090, -0.329203, -0.500026, 0.078633, -0.387571]
std: [0.191771, 0.961822, 0.454949, 0.306063, 0.950409, 0.460151]
pca: [[-0.022900, 0.605295, 0.703518, 0.088470, -0.200472, -0.300233, 0.000000, 0.000000, 0.000000, 0.000000], [0.636299, 0.050962, 0.076989, 0.371689, 0.662426, -0.098178, 0.000000, 0.000000, 0.000000, 0.000000], [0.296990, -0.178260, 0.503543, -0.400054, -0.004397, 0.682937, 0.000000, 0.000000, 0.000000, 0.000000], [0.143421, 0.736435, -0.448563, -0.416303, 0.123540, 0.217521, 0.000000, 0.000000, 0.000000, 0.000000], [0.627838, -0.185688, -0.098249, -0.383772, -0.432680, -0.476649, 0.000000, 0.000000, 0.000000, 0.000000], [0.302731, 0.149761, -0.186325, 0.611056, -0.564367, 0.399136, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.028311, 3.072778, 3.348530, 4.170902, 54.371909], [12.499140, 13.303354, 13.891271, 18.818093, 18.940398], [5.508993, 5.651440, 5.808354, 8.304642, 29.628296], [4.964893, 5.509169, 5.594654, 5.644948, 45.002367], [11.574364, 12.076727, 12.326596, 14.221253, 18.435399], [6.102578, 6.876758, 6.961680, 9.246778, 34.881398]]
### 6
mean: [0.794341, -0.011667, -0.095428, 0.279736, 0.693955, 0.601854]
std: [1.197591, 0.538382, 0.300039, 0.803976, 0.742352, 1.135883]
pca: [[0.577423, 0.618686, 0.215600, -0.391570, -0.288070, -0.031886, 0.000000, 0.000000, 0.000000, 0.000000], [-0.259573, -0.218959, 0.284787, -0.524654, -0.143142, 0.712617, 0.000000, 0.000000, 0.000000, 0.000000], [-0.144600, 0.412503, -0.109040, -0.254810, 0.849687, 0.100726, 0.000000, 0.000000, 0.000000, 0.000000], [-0.387646, -0.103516, 0.458131, -0.424788, -0.004908, -0.669823, 0.000000, 0.000000, 0.000000, 0.000000], [-0.357886, 0.461473, 0.567034, 0.549474, -0.068216, 0.175665, 0.000000, 0.000000, 0.000000, 0.000000], [0.547671, -0.418872, 0.573683, 0.155296, 0.412165, 0.038650, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.550637, 15.968094, 17.235861, 21.618758, 71.490685], [6.449459, 6.549427, 7.149350, 7.765152, 9.760951], [3.588447, 3.930630, 4.249517, 5.492612, 8.588536], [9.771872, 10.649954, 11.571031, 14.611459, 25.176273], [9.001703, 9.779380, 10.622342, 13.573168, 62.455971], [13.592479, 15.109963, 16.215609, 20.584306, 54.166879]]
### 8
mean: [-0.551594, 1.402469, -0.721390, -0.386478, 2.281011, -1.159026]
std: [1.032288, 1.474886, 1.822567, 1.739850, 2.133382, 0.613826]
pca: [[-0.271481, 0.129346, 0.533603, 0.165330, 0.439155, -0.636117, 0.000000, 0.000000, 0.000000, 0.000000], [0.388061, -0.112819, -0.144863, 0.476800, 0.705546, 0.300935, 0.000000, 0.000000, 0.000000, 0.000000], [-0.479056, 0.321479, 0.426255, 0.199021, -0.016797, 0.667512, 0.000000, 0.000000, 0.000000, 0.000000], [-0.457329, -0.302924, -0.355242, 0.689229, -0.264120, -0.167616, 0.000000, 0.000000, 0.000000, 0.000000], [0.561423, -0.063258, 0.521572, 0.420518, -0.480157, -0.037140, 0.000000, 0.000000, 0.000000, 0.000000], [0.147876, 0.878310, -0.338164, 0.232049, -0.093573, -0.172474, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.554501, 13.796200, 14.099920, 19.548695, 49.643479], [19.279332, 19.350232, 20.305383, 27.821163, 126.222215], [24.040872, 24.769373, 24.894265, 34.566619, 64.925106], [22.103741, 22.286364, 24.416275, 32.408856, 34.783013], [27.302750, 27.799067, 29.603190, 40.130193, 205.290955], [8.389308, 8.403352, 8.749867, 10.228010, 104.312364]]
### 10
mean: [-2.821148]
std: [3.199334]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.534318, 43.356694, 43.444885, 59.536899, 253.903337]]
## 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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{"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": [[-0.493581, 0.361034, -1.002808, 0.165918, -0.451578], [-0.346609, -0.561249, -0.108676, 0.51052, 0.419302], [-0.784564, 0.415192, 0.23028, -0.718569, 0.281832], [-0.664986, -0.099469, 0.580091, 0.245814, 0.01347], [-0.37187, -0.36681, -0.252323, -0.050946, 0.470121], [-0.528899, -0.099371, -0.001497, -0.460347, 0.397722]], "network.0.bias": [0.200689, -0.341455, -0.229868, -0.199665, -0.409106, -0.324171], "network.2.weight": [[0.434836, -1.015344, -0.77562, -0.50241, -0.748304, -0.843894], [0.337527, -0.948843, -0.644469, -0.724273, -0.538248, -0.98125], [-0.247918, -0.370022, -0.407901, -0.751655, -0.97968, -0.889209], [-0.676999, 0.319813, 0.500804, 0.441368, 0.213997, 0.1405], [0.303634, -0.743471, -0.938799, -0.751577, -0.701135, -1.017245], [0.172943, -0.813982, -1.137315, -0.795631, -1.116759, -0.687983]], "network.2.bias": [0.34689, 0.12469, 0.206912, -0.104924, 0.114211, 0.455254], "network.4.weight": [[-0.412848, -0.571652, 0.61514, -0.063885, 0.033095, 0.300318], [0.647627, 0.199939, 0.941287, -0.358767, 0.736578, 0.350826], [0.14607, 0.34207, 0.268386, -0.050598, 0.401091, 0.370768], [-0.285861, -0.032732, 0.3892, -0.349469, -0.313025, 0.408069], [0.612372, 0.430646, 0.26168, -0.286725, 0.473423, 0.785888], [0.406414, 0.028164, 0.321192, -0.201485, -0.191881, 0.466084]], "network.4.bias": [-0.540823, -0.031996, -0.539255, -0.361375, -0.247322, -0.505442], "network.6.weight": [[-0.910975, -0.258474, -0.875906, -1.008893, -0.984076, -1.18907], [0.447668, 0.194611, 0.222387, 0.483532, 0.498279, 0.079378], [0.485424, 0.336714, 0.350783, -0.073532, -0.060023, 0.246198], [0.470892, 0.390631, 0.308086, 0.470744, 0.633528, 0.223158], [-0.257083, 0.577178, 0.174232, -0.079787, 0.374375, 0.376722], [-0.936629, -0.542739, -1.210104, -1.029145, -0.558057, -0.884986]], "network.6.bias": [0.820398, -0.099248, -0.109185, 0.087002, 0.328433, 0.600478], "network.8.weight": [[-0.570889, -0.066951, -0.25876, 0.14742, 0.513892, -0.345444], [1.000168, -0.469525, -0.45425, -0.372535, -0.012673, 0.426429], [-0.901947, 0.114987, 0.005448, 0.365578, 0.447184, -0.914408], [-0.187729, 0.490526, 0.41309, 0.513567, 0.489196, -1.086148], [0.928908, -1.008305, -0.754352, -0.624034, 0.172507, 1.14699], [0.085395, -0.054526, 0.125212, -0.499844, -0.595432, -0.437066]], "network.8.bias": [-0.086647, 0.274695, 0.462169, 0.131257, 0.678788, -0.358788], "network.10.weight": [[0.160612, -0.545227, 0.399855, 0.562723, -0.9047, 0.437379]], "network.10.bias": [-0.175107]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6910993754863739, "train_acc": 0.49, "val_loss": 0.6673155426979065, "val_acc": 0.7}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6475176215171814, "train_acc": 0.71, "val_loss": 0.6099448204040527, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6559624075889587, "train_acc": 0.615, "val_loss": 0.5827304720878601, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5822445750236511, "train_acc": 0.695, "val_loss": 0.4327651858329773, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4133106619119644, "train_acc": 0.88, "val_loss": 0.26971447467803955, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3409806042909622, "train_acc": 0.87, "val_loss": 0.10255712270736694, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.15814770758152008, "train_acc": 0.95, "val_loss": 0.04009819030761719, "val_acc": 1.0}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.051726942881941795, "train_acc": 0.99, "val_loss": 0.01696675270795822, "val_acc": 1.0}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.04626770131289959, "train_acc": 0.99, "val_loss": 0.0029762471094727516, "val_acc": 1.0}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.03136027231812477, "train_acc": 0.99, "val_loss": 0.041382502764463425, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.013943847792688757, "train_acc": 0.99, "val_loss": 2.4517879486083984, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.8854979481548071, "train_acc": 0.905, "val_loss": 8.30522330943495e-05, "val_acc": 1.0}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6673155426979065, "final_val_loss": 0.6099448204040527, "initial_val_acc": 0.7, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.5827304720878601, "final_val_loss": 8.30522330943495e-05, "initial_val_acc": 0.7, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 6}, "improvement": 0.30000000000000004, "first_improvement_epoch": 1}}
|
9,623
|
{"target_pattern": "decreasing_pairs", "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": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5270, "learning_rate": 0.0670817421889732, "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: 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: [1.203751, 1.278698, 0.802493, 0.485960, 1.266220]
std: [1.257788, 1.368731, 1.310149, 1.295579, 1.416369]
pca: [[0.524749, 0.027284, 0.243970, 0.716495, -0.388598, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.569109, 0.193494, 0.067349, -0.675674, -0.421431, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.552569, 0.159443, 0.065764, 0.009070, 0.815376, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.016423, 0.716046, -0.671973, 0.172023, -0.076606, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.308466, 0.650900, 0.692871, -0.020637, 0.026108, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.158365, 21.231299, 21.454414, 25.242381, 108.337568], [21.031897, 22.675138, 24.657574, 24.695945, 115.082851], [20.855913, 21.460734, 22.685793, 23.964728, 72.224399], [22.688422, 23.382514, 24.539918, 27.326556, 43.736391], [21.109540, 21.375168, 23.277721, 24.731381, 113.959778]]
### 2
mean: [1.361548, 1.288048, 0.937905, 0.412385, 1.580728]
std: [2.085901, 1.490731, 1.487806, 1.091191, 0.876317]
pca: [[0.664306, 0.495293, -0.364157, -0.173151, 0.388318, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.478135, 0.322816, 0.352905, -0.001175, 0.736636, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.485583, 0.105688, 0.854708, 0.052602, -0.140520, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.278498, 0.535857, 0.059320, -0.658556, -0.445064, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.129353, 0.593432, -0.093824, 0.730448, -0.297906, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.712960, 35.868076, 36.109308, 36.399520, 122.539326], [22.386748, 25.688215, 27.826305, 30.089836, 115.924306], [25.007923, 26.921109, 26.960247, 28.439364, 84.411465], [15.049384, 16.063857, 16.980902, 21.561561, 37.114620], [12.317157, 13.512946, 14.595772, 14.805020, 142.265565]]
### 4
mean: [0.907831, 3.272418, 0.491210, -0.056708, -0.479116]
std: [1.113657, 1.696479, 2.987183, 0.867307, 0.385429]
pca: [[-0.326037, 0.141306, 0.679660, -0.118104, 0.630750, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.129222, 0.956529, -0.015805, 0.021017, -0.260120, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.894963, 0.226008, 0.020839, -0.040354, 0.381966, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.252808, 0.110713, -0.635468, 0.395104, 0.603244, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.110136, -0.041805, 0.365456, 0.909876, -0.157130, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.448088, 19.696958, 20.816510, 23.325571, 81.704778], [24.723265, 28.663665, 33.154881, 33.251036, 294.517577], [47.784240, 49.733631, 52.013743, 56.236805, 59.536655], [12.233371, 12.495151, 14.208612, 16.002429, 18.831254], [5.362863, 6.152070, 7.179683, 7.844482, 43.120401]]
### 6
mean: [-2.304601, -0.955337, -1.225724, 0.232789, 1.709942]
std: [1.137260, 0.440894, 0.289155, 1.509112, 1.833320]
pca: [[-0.183212, 0.822782, -0.465504, -0.079649, 0.257731, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.158664, 0.137539, 0.700534, -0.224281, 0.644096, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.017668, 0.219285, 0.241361, 0.945045, 0.015387, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.583460, -0.486611, -0.404582, 0.197695, 0.469056, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.774933, -0.138693, -0.265739, 0.105643, 0.546320, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.516142, 19.688912, 21.626442, 23.408757, 207.414100], [6.671551, 7.010609, 7.177193, 8.662937, 85.980321], [4.469965, 4.796801, 5.521236, 6.133385, 110.315135], [24.987700, 25.608140, 25.936000, 28.303994, 30.138866], [29.942383, 29.949840, 33.066765, 39.320115, 153.894758]]
### 8
mean: [1.612688, 1.650800, 1.090306, -1.058242, 1.547661]
std: [1.475341, 1.446407, 1.427981, 0.661121, 1.448948]
pca: [[0.502686, 0.221321, -0.303444, -0.416601, 0.657791, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.493367, 0.176082, -0.577235, 0.148399, -0.608573, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.486978, -0.182186, 0.600532, -0.497348, -0.348808, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.146807, 0.939941, 0.273045, -0.071728, -0.123533, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.495174, 0.057722, 0.373536, 0.742914, 0.244992, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.289845, 26.174488, 26.890097, 31.878826, 145.141929], [23.963118, 25.602925, 26.220294, 31.215869, 148.572042], [24.409417, 24.553614, 25.150479, 30.558827, 98.127546], [9.492072, 10.000943, 11.436622, 12.385694, 95.241810], [24.348294, 25.729347, 25.836225, 31.163427, 139.289501]]
### 10
mean: [-2.664921, -2.220991, -2.909363, 2.938155, 3.200962]
std: [2.632506, 1.944215, 2.471186, 2.205026, 2.276389]
pca: [[0.507785, 0.731999, 0.429433, 0.145782, -0.025825, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.374971, -0.597733, 0.367428, 0.584888, -0.158161, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.476912, -0.239261, 0.007994, -0.346691, 0.771395, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.425558, -0.117082, 0.824699, -0.348212, 0.061740, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.439326, 0.189572, 0.019778, 0.628656, 0.612744, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.561922, 45.223865, 46.673953, 56.330961, 239.842898], [31.865699, 33.161338, 35.591476, 42.610083, 199.889191], [40.009721, 42.358756, 44.789626, 53.733208, 261.842662], [35.345663, 37.988224, 39.741035, 47.668799, 264.433978], [36.830195, 39.042305, 41.219340, 49.462047, 288.086557]]
### 12
mean: [-2.350410]
std: [2.051143]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.532205, 35.069286, 38.104706, 45.803308, 211.536873]]
## 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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-0.034656,
0.028576,
0.21419,
-0.290484
],
[
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## Activation Signature
### 0
mean: [1.203751, 1.278698, 0.802493, 0.485960, 1.266220]
std: [1.257788, 1.368731, 1.310149, 1.295579, 1.416369]
pca: [[0.524749, 0.027284, 0.243970, 0.716495, -0.388598, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.569109, 0.193494, 0.067349, -0.675674, -0.421431, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.552569, 0.159443, 0.065764, 0.009070, 0.815376, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.016423, 0.716046, -0.671973, 0.172023, -0.076606, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.308466, 0.650900, 0.692871, -0.020637, 0.026108, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.158365, 21.231299, 21.454414, 25.242381, 108.337568], [21.031897, 22.675138, 24.657574, 24.695945, 115.082851], [20.855913, 21.460734, 22.685793, 23.964728, 72.224399], [22.688422, 23.382514, 24.539918, 27.326556, 43.736391], [21.109540, 21.375168, 23.277721, 24.731381, 113.959778]]
### 2
mean: [1.361548, 1.288048, 0.937905, 0.412385, 1.580728]
std: [2.085901, 1.490731, 1.487806, 1.091191, 0.876317]
pca: [[0.664306, 0.495293, -0.364157, -0.173151, 0.388318, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.478135, 0.322816, 0.352905, -0.001175, 0.736636, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.485583, 0.105688, 0.854708, 0.052602, -0.140520, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.278498, 0.535857, 0.059320, -0.658556, -0.445064, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.129353, 0.593432, -0.093824, 0.730448, -0.297906, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.712960, 35.868076, 36.109308, 36.399520, 122.539326], [22.386748, 25.688215, 27.826305, 30.089836, 115.924306], [25.007923, 26.921109, 26.960247, 28.439364, 84.411465], [15.049384, 16.063857, 16.980902, 21.561561, 37.114620], [12.317157, 13.512946, 14.595772, 14.805020, 142.265565]]
### 4
mean: [0.907831, 3.272418, 0.491210, -0.056708, -0.479116]
std: [1.113657, 1.696479, 2.987183, 0.867307, 0.385429]
pca: [[-0.326037, 0.141306, 0.679660, -0.118104, 0.630750, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.129222, 0.956529, -0.015805, 0.021017, -0.260120, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.894963, 0.226008, 0.020839, -0.040354, 0.381966, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.252808, 0.110713, -0.635468, 0.395104, 0.603244, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.110136, -0.041805, 0.365456, 0.909876, -0.157130, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.448088, 19.696958, 20.816510, 23.325571, 81.704778], [24.723265, 28.663665, 33.154881, 33.251036, 294.517577], [47.784240, 49.733631, 52.013743, 56.236805, 59.536655], [12.233371, 12.495151, 14.208612, 16.002429, 18.831254], [5.362863, 6.152070, 7.179683, 7.844482, 43.120401]]
### 6
mean: [-2.304601, -0.955337, -1.225724, 0.232789, 1.709942]
std: [1.137260, 0.440894, 0.289155, 1.509112, 1.833320]
pca: [[-0.183212, 0.822782, -0.465504, -0.079649, 0.257731, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.158664, 0.137539, 0.700534, -0.224281, 0.644096, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.017668, 0.219285, 0.241361, 0.945045, 0.015387, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.583460, -0.486611, -0.404582, 0.197695, 0.469056, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.774933, -0.138693, -0.265739, 0.105643, 0.546320, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.516142, 19.688912, 21.626442, 23.408757, 207.414100], [6.671551, 7.010609, 7.177193, 8.662937, 85.980321], [4.469965, 4.796801, 5.521236, 6.133385, 110.315135], [24.987700, 25.608140, 25.936000, 28.303994, 30.138866], [29.942383, 29.949840, 33.066765, 39.320115, 153.894758]]
### 8
mean: [1.612688, 1.650800, 1.090306, -1.058242, 1.547661]
std: [1.475341, 1.446407, 1.427981, 0.661121, 1.448948]
pca: [[0.502686, 0.221321, -0.303444, -0.416601, 0.657791, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.493367, 0.176082, -0.577235, 0.148399, -0.608573, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.486978, -0.182186, 0.600532, -0.497348, -0.348808, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.146807, 0.939941, 0.273045, -0.071728, -0.123533, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.495174, 0.057722, 0.373536, 0.742914, 0.244992, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.289845, 26.174488, 26.890097, 31.878826, 145.141929], [23.963118, 25.602925, 26.220294, 31.215869, 148.572042], [24.409417, 24.553614, 25.150479, 30.558827, 98.127546], [9.492072, 10.000943, 11.436622, 12.385694, 95.241810], [24.348294, 25.729347, 25.836225, 31.163427, 139.289501]]
### 10
mean: [-2.664921, -2.220991, -2.909363, 2.938155, 3.200962]
std: [2.632506, 1.944215, 2.471186, 2.205026, 2.276389]
pca: [[0.507785, 0.731999, 0.429433, 0.145782, -0.025825, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.374971, -0.597733, 0.367428, 0.584888, -0.158161, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.476912, -0.239261, 0.007994, -0.346691, 0.771395, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.425558, -0.117082, 0.824699, -0.348212, 0.061740, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.439326, 0.189572, 0.019778, 0.628656, 0.612744, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.561922, 45.223865, 46.673953, 56.330961, 239.842898], [31.865699, 33.161338, 35.591476, 42.610083, 199.889191], [40.009721, 42.358756, 44.789626, 53.733208, 261.842662], [35.345663, 37.988224, 39.741035, 47.668799, 264.433978], [36.830195, 39.042305, 41.219340, 49.462047, 288.086557]]
### 12
mean: [-2.350410]
std: [2.051143]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.532205, 35.069286, 38.104706, 45.803308, 211.536873]]
## 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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"fourier": [36.83019479974977, 39.04230452416882, 41.21933983671574, 49.46204687888597, 288.0865574926138]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "12": {"neuron_profiles": {"0": {"mean": -2.350409507751465, "std": 2.051142692565918, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [33.532205102804966, 35.06928609855366, 38.104706261241546, 45.80330797680922, 211.53687252104282]}}, "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": [[0.601399, -0.034656, 0.028576, 0.21419, -0.290484], [0.523512, 0.254292, 0.045132, 0.133661, -0.238679], [0.54879, 0.171, -0.004387, 0.168013, -0.26322], [-0.281447, 0.600688, -0.291441, 0.115472, -0.056244], [-0.467265, 0.018577, 0.247601, 0.460263, 0.16113]], "network.0.bias": [0.357749, 0.077307, -0.218537, 0.172151, 0.110908], "network.2.weight": [[0.361192, 0.488183, 0.664319, -0.033495, -0.426729], [-0.196451, -0.200467, -0.260493, 0.461418, 0.706823], [0.528361, 0.378849, 0.148064, -0.537995, -0.159721], [-0.13644, -0.273998, 0.255671, 0.57166, 0.567796], [-0.164339, 0.321845, -0.06745, 0.472099, 0.426451]], "network.2.bias": [0.371086, 0.759586, 0.28471, -0.414428, 0.575622], "network.4.weight": [[-0.229559, 0.683868, 0.045008, -0.20153, 0.26532], [0.326085, 0.915045, 0.354457, 0.344313, 0.68893], [0.703711, -0.513124, 0.674311, -0.369225, -0.06116], [0.018932, 0.178711, -0.380007, 0.053611, 0.29086], [0.226729, 0.192215, -0.074518, -0.168924, -0.310376]], "network.4.bias": [-0.076144, -0.024031, -0.093758, -0.438966, -0.444633], "network.6.weight": [[-0.192764, -0.585704, -0.086848, 0.05268, 0.060438], [0.41393, -0.438211, 0.254399, 0.397132, -0.093728], [0.140276, -0.298008, 0.060835, 0.461544, -0.449621], [-0.588176, 0.23263, 0.400297, -0.702684, -0.060544], [0.169664, 0.584378, -0.560402, 0.063019, -0.502506]], "network.6.bias": [-0.119567, -0.33942, -0.610169, -0.312139, 0.280572], "network.8.weight": [[-0.378542, -0.484736, -0.278408, -0.459644, 0.661768], [-0.424354, -0.162664, -0.426104, -0.428627, 0.663545], [0.070289, -0.31354, 0.250418, -0.276742, 0.751151], [0.091373, -0.660898, -0.387995, -0.35929, -0.530175], [0.095142, -0.019894, -0.570892, -0.39141, 0.68644]], "network.8.bias": [0.507529, 0.548166, -0.162138, -0.013378, 0.412783], "network.10.weight": [[-0.359989, -0.690625, -0.567523, -0.596408, -0.498031], [-0.865923, -0.198009, 0.159682, -0.225497, -0.617227], [-0.856412, -0.557318, -0.15081, -0.099257, -0.403109], [0.542087, 0.40182, 0.236385, -0.099523, 0.5857], [0.539342, 0.639258, 0.113801, 0.109043, 0.516066]], "network.10.bias": [0.571638, 0.381935, 0.342123, 0.068269, 0.212489], "network.12.weight": [[0.584799, 0.353019, 0.570802, -0.318853, -0.478499]], "network.12.bias": [-0.03815]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6905360519886017, "train_acc": 0.565, "val_loss": 0.6751322150230408, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6621294319629669, "train_acc": 0.565, "val_loss": 0.6374263167381287, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6227013766765594, "train_acc": 0.64, "val_loss": 0.4409100413322449, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.42407938838005066, "train_acc": 0.905, "val_loss": 0.23749202489852905, "val_acc": 0.96}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.26435622572898865, "train_acc": 0.93, "val_loss": 0.14649057388305664, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.1993432119488716, "train_acc": 0.925, "val_loss": 0.11900990456342697, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.21598749607801437, "train_acc": 0.92, "val_loss": 0.133637472987175, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.23938173055648804, "train_acc": 0.935, "val_loss": 0.17216609418392181, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.22446028888225555, "train_acc": 0.935, "val_loss": 0.24730461835861206, "val_acc": 0.92}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6751322150230408, "final_val_loss": 0.6374263167381287, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.4409100413322449, "final_val_loss": 0.24730461835861206, "initial_val_acc": 0.92, "final_val_acc": 0.92, "best_val_acc": 0.96, "best_epoch": 3}, "improvement": 0.43999999999999995, "first_improvement_epoch": 1}}
|
9,624
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.52, "improved_accuracy": 0.92, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9948, "learning_rate": 0.06133766103350599, "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: 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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[
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"network.2.bias": [
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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: [0.574741, -4.155896, 0.758114, 0.351366, 1.134488, 0.192274]
std: [0.937674, 3.085531, 2.405896, 1.358510, 2.382421, 1.394331]
pca: [[-0.041373, 0.313409, 0.030488, 0.328583, -0.113492, 0.882205, 0.000000, 0.000000, 0.000000, 0.000000], [0.973069, -0.086623, -0.116663, 0.178387, -0.004654, 0.013399, 0.000000, 0.000000, 0.000000, 0.000000], [0.105035, 0.710318, 0.504875, 0.131923, 0.376258, -0.265599, 0.000000, 0.000000, 0.000000, 0.000000], [-0.123456, 0.270828, -0.320079, 0.610746, -0.534801, -0.387218, 0.000000, 0.000000, 0.000000, 0.000000], [-0.055391, -0.533361, 0.681936, 0.489147, -0.085241, -0.029836, 0.000000, 0.000000, 0.000000, 0.000000], [-0.148604, -0.178597, -0.403825, 0.480138, 0.743135, -0.012795, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.621359, 14.850005, 17.766573, 21.884563, 51.726658], [50.258235, 50.602745, 53.517813, 61.013798, 374.030647], [35.378069, 36.224732, 36.798891, 38.278958, 68.230220], [21.528302, 23.117443, 25.108363, 25.518990, 31.622942], [38.643399, 43.664784, 43.699887, 50.030979, 102.103877], [20.295531, 21.581084, 22.707940, 23.429421, 25.508647]]
### 2
mean: [1.064298, 1.824054, 1.827578, -1.343128, -1.708831, -0.509217]
std: [2.256180, 2.401571, 3.283144, 0.817687, 1.037119, 1.310987]
pca: [[0.417360, -0.584130, 0.248350, 0.563450, 0.303232, 0.116190, 0.000000, 0.000000, 0.000000, 0.000000], [0.553361, -0.135379, -0.148563, -0.452736, -0.290651, 0.603279, 0.000000, 0.000000, 0.000000, 0.000000], [0.696991, 0.592784, 0.003513, 0.095286, 0.142598, -0.365219, 0.000000, 0.000000, 0.000000, 0.000000], [-0.087443, 0.164088, 0.515792, -0.411919, 0.678999, 0.262053, 0.000000, 0.000000, 0.000000, 0.000000], [-0.026117, 0.207984, 0.763993, 0.180620, -0.570510, 0.119454, 0.000000, 0.000000, 0.000000, 0.000000], [-0.159619, 0.467857, -0.257899, 0.515922, 0.129294, 0.637360, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.002677, 34.336719, 35.617547, 39.172213, 95.786787], [37.191524, 37.592764, 47.671867, 49.654602, 164.164837], [59.830868, 60.798182, 66.079830, 70.106254, 164.482002], [11.631831, 12.105432, 12.335411, 19.105029, 120.881517], [14.584913, 14.873043, 16.908832, 20.758533, 153.794793], [19.276417, 19.821281, 23.382747, 23.753864, 45.829488]]
### 4
mean: [-2.129912, -3.242322, -2.196919, 3.754771, -2.184259, 3.376759]
std: [2.078939, 3.628058, 2.326918, 4.314584, 2.006879, 4.225709]
pca: [[-0.258206, 0.374342, 0.410433, 0.555405, 0.360393, -0.431722, 0.000000, 0.000000, 0.000000, 0.000000], [-0.455250, -0.472607, 0.541987, 0.172802, -0.154512, 0.471069, 0.000000, 0.000000, 0.000000, 0.000000], [-0.277285, 0.736024, 0.028441, -0.071897, -0.541617, 0.286453, 0.000000, 0.000000, 0.000000, 0.000000], [0.546111, 0.200618, 0.688264, -0.386801, 0.148019, 0.127606, 0.000000, 0.000000, 0.000000, 0.000000], [-0.252570, 0.225288, -0.215362, -0.169652, 0.727237, 0.530488, 0.000000, 0.000000, 0.000000, 0.000000], [0.535874, 0.061456, -0.129994, 0.691446, -0.045952, 0.460384, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.666976, 38.147653, 44.346247, 45.028029, 191.692079], [55.641066, 55.729823, 74.143174, 77.143741, 291.808961], [39.757968, 45.078420, 49.143468, 49.269574, 197.722683], [63.854662, 73.948269, 91.047170, 92.070444, 337.929383], [32.471688, 37.041054, 42.852787, 43.469133, 196.583311], [64.927598, 71.473399, 88.489154, 91.686784, 303.908301]]
### 6
mean: [-3.525563, 4.615295, -3.606406, -0.551851, 5.638327, -0.771528]
std: [3.699204, 5.958231, 4.062343, 0.398835, 7.082992, 0.641421]
pca: [[-0.342831, 0.426090, 0.654078, 0.298094, -0.382679, -0.194404, 0.000000, 0.000000, 0.000000, 0.000000], [0.552196, -0.440431, 0.489908, -0.058073, 0.062934, -0.503744, 0.000000, 0.000000, 0.000000, 0.000000], [-0.376489, -0.299173, 0.518998, -0.449924, 0.314808, 0.444811, 0.000000, 0.000000, 0.000000, 0.000000], [-0.036902, 0.489928, 0.039789, -0.009844, 0.805691, -0.328314, 0.000000, 0.000000, 0.000000, 0.000000], [0.656437, 0.417539, 0.236095, 0.021933, 0.001868, 0.581830, 0.000000, 0.000000, 0.000000, 0.000000], [-0.059427, -0.347269, 0.074088, 0.839498, 0.318356, 0.253526, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.633846, 63.238534, 77.023957, 79.910278, 317.300613], [89.698712, 101.821812, 124.005369, 128.786806, 415.376549], [61.381604, 69.332371, 84.406426, 87.997197, 324.576487], [5.924450, 6.874075, 8.398434, 8.461454, 49.666591], [106.987775, 120.900607, 147.191390, 153.399673, 507.449416], [9.801484, 10.898932, 13.253895, 13.984730, 69.437504]]
### 8
mean: [8.819489, -4.347890, 5.052974, -1.037040, -1.313887, -1.281049]
std: [11.124068, 5.030634, 6.441120, 0.750494, 1.505327, 1.106695]
pca: [[0.797442, -0.203777, -0.052329, 0.040396, 0.219691, -0.519545, 0.000000, 0.000000, 0.000000, 0.000000], [-0.360626, -0.457193, -0.454605, -0.020689, 0.672109, -0.045817, 0.000000, 0.000000, 0.000000, 0.000000], [0.461739, 0.118852, -0.066219, -0.051093, 0.337276, 0.807416, 0.000000, 0.000000, 0.000000, 0.000000], [-0.053794, 0.569426, -0.185572, 0.749463, 0.247562, -0.124262, 0.000000, 0.000000, 0.000000, 0.000000], [-0.107909, 0.521217, 0.362757, -0.520824, 0.510212, -0.231348, 0.000000, 0.000000, 0.000000, 0.000000], [-0.079333, -0.373378, 0.787516, 0.402960, 0.254257, 0.084206, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[170.079743, 190.232035, 228.898581, 241.999678, 793.754087], [76.790160, 86.019029, 103.533300, 109.446956, 391.310095], [98.423892, 110.144938, 132.546580, 140.127486, 454.767716], [11.598543, 12.842416, 15.423470, 16.317222, 93.333565], [23.124697, 25.750302, 30.958273, 32.740303, 118.249792], [16.831030, 18.918424, 22.785444, 24.080673, 115.294417]]
### 10
mean: [-3.938816]
std: [5.716936]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[87.914283, 97.594537, 117.600948, 124.494149, 354.493375]]
## 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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.204366,
-0.298792,
0.323422,
0.26913,
0.046979
],
[
-0.002677,
-0.846861,
-0.668969,
-0.819527,
0.213415
],
[
-0.378065,
-0.701922,
0.156907,
0.637015,
0.764282
],
[
-0.261926,
-0.262602,
0.613402,
0.180719,
-0.456
],
[
0.812207,
0.259473,
-0.254724,
-0.267033,
0.775225
],
[
-0.21302,
0.424301,
0.372537,
-0.371615,
-0.410037
]
],
"network.0.bias": [
0.062862,
0.282226,
-0.128767,
0.049366,
-0.200459,
0.208628
],
"network.2.weight": [
[
0.26624,
-0.097254,
1.097959,
-0.034479,
0.028115,
-0.51738
],
[
0.244198,
-0.411661,
0.887073,
-0.117974,
0.638359,
-0.310629
],
[
-0.251904,
-0.360871,
0.696926,
-0.919638,
1.124092,
-0.079935
],
[
-0.351252,
-0.455991,
-0.225487,
-0.278028,
-0.209534,
-0.388762
],
[
-0.385409,
0.587019,
-0.109981,
-0.573719,
-0.215818,
-0.463068
],
[
-0.279145,
0.297875,
-0.508086,
-0.146683,
0.161844,
0.583631
]
],
"network.2.bias": [
-0.278901,
-0.207287,
0.070882,
-0.022211,
-0.299568,
-0.155202
],
"network.4.weight": [
[
-0.205032,
-0.055386,
-0.597456,
0.357806,
0.141974,
0.052717
],
[
-0.933294,
-0.241657,
-0.586948,
0.227592,
-0.241468,
0.010149
],
[
0.17172,
-0.455553,
-0.546802,
0.335234,
-0.089245,
-0.305571
],
[
0.952618,
0.403848,
0.720092,
-0.070599,
0.380997,
0.864221
],
[
-0.128638,
-0.393414,
-0.345879,
-0.349925,
0.298417,
-0.39897
],
[
0.54011,
0.820018,
0.579557,
-0.157059,
-0.168417,
0.449337
]
],
"network.4.bias": [
-0.423083,
-0.177627,
-0.246263,
-0.172037,
-0.364406,
-0.380745
],
"network.6.weight": [
[
-0.159334,
0.075129,
0.215024,
-0.434932,
0.168713,
-0.441509
],
[
0.060853,
-0.14016,
-0.093914,
0.663476,
0.131747,
0.74939
],
[
-0.255658,
-0.171293,
-0.418573,
-0.359613,
0.189708,
-0.60666
],
[
0.141325,
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0.03595,
-0.115292,
-0.122486,
0.023149
],
[
-0.020458,
0.037717,
-0.221688,
0.641755,
-0.351955,
1.042541
],
[
-0.070244,
-0.070112,
0.027142,
-0.010457,
-0.383539,
-0.143549
]
],
"network.6.bias": [
-0.354524,
-0.484407,
-0.149095,
-0.195986,
-0.392888,
-0.235637
],
"network.8.weight": [
[
-0.082313,
0.90015,
0.430339,
-0.34233,
0.835035,
-0.087683
],
[
-0.024258,
-0.201305,
-0.000711,
0.158293,
-0.54973,
0.324059
],
[
-0.056402,
0.427951,
0.144216,
-0.306101,
0.561507,
0.187154
],
[
0.123148,
-0.265192,
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0.114686,
-0.28346
],
[
-0.088641,
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0.229741,
0.037573,
-0.017508
],
[
-0.18328,
0.057978,
-0.342116,
0.020325,
-0.206464,
-0.373788
]
],
"network.8.bias": [
-0.228018,
-0.244184,
-0.191276,
-0.438797,
-0.100232,
-0.372246
],
"network.10.weight": [
[
-0.487606,
-0.067047,
-0.049891,
-0.106183,
0.050822,
0.24691
]
],
"network.10.bias": [
0.649113
]
}
## Activation Signature
### 0
mean: [0.574741, -4.155896, 0.758114, 0.351366, 1.134488, 0.192274]
std: [0.937674, 3.085531, 2.405896, 1.358510, 2.382421, 1.394331]
pca: [[-0.041373, 0.313409, 0.030488, 0.328583, -0.113492, 0.882205, 0.000000, 0.000000, 0.000000, 0.000000], [0.973069, -0.086623, -0.116663, 0.178387, -0.004654, 0.013399, 0.000000, 0.000000, 0.000000, 0.000000], [0.105035, 0.710318, 0.504875, 0.131923, 0.376258, -0.265599, 0.000000, 0.000000, 0.000000, 0.000000], [-0.123456, 0.270828, -0.320079, 0.610746, -0.534801, -0.387218, 0.000000, 0.000000, 0.000000, 0.000000], [-0.055391, -0.533361, 0.681936, 0.489147, -0.085241, -0.029836, 0.000000, 0.000000, 0.000000, 0.000000], [-0.148604, -0.178597, -0.403825, 0.480138, 0.743135, -0.012795, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.621359, 14.850005, 17.766573, 21.884563, 51.726658], [50.258235, 50.602745, 53.517813, 61.013798, 374.030647], [35.378069, 36.224732, 36.798891, 38.278958, 68.230220], [21.528302, 23.117443, 25.108363, 25.518990, 31.622942], [38.643399, 43.664784, 43.699887, 50.030979, 102.103877], [20.295531, 21.581084, 22.707940, 23.429421, 25.508647]]
### 2
mean: [1.064298, 1.824054, 1.827578, -1.343128, -1.708831, -0.509217]
std: [2.256180, 2.401571, 3.283144, 0.817687, 1.037119, 1.310987]
pca: [[0.417360, -0.584130, 0.248350, 0.563450, 0.303232, 0.116190, 0.000000, 0.000000, 0.000000, 0.000000], [0.553361, -0.135379, -0.148563, -0.452736, -0.290651, 0.603279, 0.000000, 0.000000, 0.000000, 0.000000], [0.696991, 0.592784, 0.003513, 0.095286, 0.142598, -0.365219, 0.000000, 0.000000, 0.000000, 0.000000], [-0.087443, 0.164088, 0.515792, -0.411919, 0.678999, 0.262053, 0.000000, 0.000000, 0.000000, 0.000000], [-0.026117, 0.207984, 0.763993, 0.180620, -0.570510, 0.119454, 0.000000, 0.000000, 0.000000, 0.000000], [-0.159619, 0.467857, -0.257899, 0.515922, 0.129294, 0.637360, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.002677, 34.336719, 35.617547, 39.172213, 95.786787], [37.191524, 37.592764, 47.671867, 49.654602, 164.164837], [59.830868, 60.798182, 66.079830, 70.106254, 164.482002], [11.631831, 12.105432, 12.335411, 19.105029, 120.881517], [14.584913, 14.873043, 16.908832, 20.758533, 153.794793], [19.276417, 19.821281, 23.382747, 23.753864, 45.829488]]
### 4
mean: [-2.129912, -3.242322, -2.196919, 3.754771, -2.184259, 3.376759]
std: [2.078939, 3.628058, 2.326918, 4.314584, 2.006879, 4.225709]
pca: [[-0.258206, 0.374342, 0.410433, 0.555405, 0.360393, -0.431722, 0.000000, 0.000000, 0.000000, 0.000000], [-0.455250, -0.472607, 0.541987, 0.172802, -0.154512, 0.471069, 0.000000, 0.000000, 0.000000, 0.000000], [-0.277285, 0.736024, 0.028441, -0.071897, -0.541617, 0.286453, 0.000000, 0.000000, 0.000000, 0.000000], [0.546111, 0.200618, 0.688264, -0.386801, 0.148019, 0.127606, 0.000000, 0.000000, 0.000000, 0.000000], [-0.252570, 0.225288, -0.215362, -0.169652, 0.727237, 0.530488, 0.000000, 0.000000, 0.000000, 0.000000], [0.535874, 0.061456, -0.129994, 0.691446, -0.045952, 0.460384, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.666976, 38.147653, 44.346247, 45.028029, 191.692079], [55.641066, 55.729823, 74.143174, 77.143741, 291.808961], [39.757968, 45.078420, 49.143468, 49.269574, 197.722683], [63.854662, 73.948269, 91.047170, 92.070444, 337.929383], [32.471688, 37.041054, 42.852787, 43.469133, 196.583311], [64.927598, 71.473399, 88.489154, 91.686784, 303.908301]]
### 6
mean: [-3.525563, 4.615295, -3.606406, -0.551851, 5.638327, -0.771528]
std: [3.699204, 5.958231, 4.062343, 0.398835, 7.082992, 0.641421]
pca: [[-0.342831, 0.426090, 0.654078, 0.298094, -0.382679, -0.194404, 0.000000, 0.000000, 0.000000, 0.000000], [0.552196, -0.440431, 0.489908, -0.058073, 0.062934, -0.503744, 0.000000, 0.000000, 0.000000, 0.000000], [-0.376489, -0.299173, 0.518998, -0.449924, 0.314808, 0.444811, 0.000000, 0.000000, 0.000000, 0.000000], [-0.036902, 0.489928, 0.039789, -0.009844, 0.805691, -0.328314, 0.000000, 0.000000, 0.000000, 0.000000], [0.656437, 0.417539, 0.236095, 0.021933, 0.001868, 0.581830, 0.000000, 0.000000, 0.000000, 0.000000], [-0.059427, -0.347269, 0.074088, 0.839498, 0.318356, 0.253526, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.633846, 63.238534, 77.023957, 79.910278, 317.300613], [89.698712, 101.821812, 124.005369, 128.786806, 415.376549], [61.381604, 69.332371, 84.406426, 87.997197, 324.576487], [5.924450, 6.874075, 8.398434, 8.461454, 49.666591], [106.987775, 120.900607, 147.191390, 153.399673, 507.449416], [9.801484, 10.898932, 13.253895, 13.984730, 69.437504]]
### 8
mean: [8.819489, -4.347890, 5.052974, -1.037040, -1.313887, -1.281049]
std: [11.124068, 5.030634, 6.441120, 0.750494, 1.505327, 1.106695]
pca: [[0.797442, -0.203777, -0.052329, 0.040396, 0.219691, -0.519545, 0.000000, 0.000000, 0.000000, 0.000000], [-0.360626, -0.457193, -0.454605, -0.020689, 0.672109, -0.045817, 0.000000, 0.000000, 0.000000, 0.000000], [0.461739, 0.118852, -0.066219, -0.051093, 0.337276, 0.807416, 0.000000, 0.000000, 0.000000, 0.000000], [-0.053794, 0.569426, -0.185572, 0.749463, 0.247562, -0.124262, 0.000000, 0.000000, 0.000000, 0.000000], [-0.107909, 0.521217, 0.362757, -0.520824, 0.510212, -0.231348, 0.000000, 0.000000, 0.000000, 0.000000], [-0.079333, -0.373378, 0.787516, 0.402960, 0.254257, 0.084206, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[170.079743, 190.232035, 228.898581, 241.999678, 793.754087], [76.790160, 86.019029, 103.533300, 109.446956, 391.310095], [98.423892, 110.144938, 132.546580, 140.127486, 454.767716], [11.598543, 12.842416, 15.423470, 16.317222, 93.333565], [23.124697, 25.750302, 30.958273, 32.740303, 118.249792], [16.831030, 18.918424, 22.785444, 24.080673, 115.294417]]
### 10
mean: [-3.938816]
std: [5.716936]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[87.914283, 97.594537, 117.600948, 124.494149, 354.493375]]
## 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": 0.6897564828395844, "train_acc": 0.565, "val_loss": 0.6972203254699707, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7064068913459778, "train_acc": 0.565, "val_loss": 0.6951432824134827, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6808686256408691, "train_acc": 0.565, "val_loss": 0.6652809977531433, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6263155937194824, "train_acc": 0.565, "val_loss": 0.5833926200866699, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5493406653404236, "train_acc": 0.495, "val_loss": 0.4806557893753052, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.45283450186252594, "train_acc": 0.89, "val_loss": 0.4541379511356354, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4016379863023758, "train_acc": 0.865, "val_loss": 0.4043249785900116, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3797369748353958, "train_acc": 0.89, "val_loss": 0.3968132734298706, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3510652482509613, "train_acc": 0.89, "val_loss": 0.33866095542907715, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3209981620311737, "train_acc": 0.91, "val_loss": 0.30224838852882385, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.26787909865379333, "train_acc": 0.94, "val_loss": 0.290993332862854, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.23572126775979996, "train_acc": 0.955, "val_loss": 0.42414677143096924, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.24743495881557465, "train_acc": 0.93, "val_loss": 0.2968693673610687, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.23331303894519806, "train_acc": 0.95, "val_loss": 0.31439918279647827, "val_acc": 0.88}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6972203254699707, "final_val_loss": 0.5833926200866699, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.4806557893753052, "final_val_loss": 0.31439918279647827, "initial_val_acc": 0.8, "final_val_acc": 0.88, "best_val_acc": 0.92, "best_epoch": 8}, "improvement": 0.4, "first_improvement_epoch": 3}}
|
9,625
|
{"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": "gelu", "dropout_rate": 0.0, "random_seed": 7955, "learning_rate": 0.08862402352847447, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [1.282725, 1.776805, 1.230109, -1.849743, -1.704156]
std: [1.468969, 2.627673, 1.829303, 0.920267, 1.074734]
pca: [[0.384907, 0.341950, 0.164775, 0.833275, -0.115835, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.840245, -0.291453, 0.263503, -0.287446, 0.238714, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.230389, 0.850945, -0.215376, -0.418312, -0.037966, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.131531, 0.106464, 0.793949, -0.215384, -0.542788, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.274690, 0.250365, 0.476103, 0.040643, 0.795951, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.425747, 24.275670, 24.297288, 26.018857, 115.445217], [43.176279, 48.885047, 52.897654, 61.198819, 159.912433], [25.495443, 26.118897, 28.458850, 33.365171, 110.709798], [13.436223, 13.611247, 13.961515, 16.579383, 166.476858], [18.564324, 19.695320, 21.635314, 21.821095, 153.374077]]
### 2
mean: [2.596500, 2.377620, -0.024946, -0.136419, -0.995969]
std: [2.832327, 2.005215, 0.450712, 1.417553, 1.032910]
pca: [[0.768580, -0.126310, 0.090585, 0.611703, -0.104615, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.497571, 0.633185, 0.162434, -0.461130, 0.335373, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.027874, -0.327186, -0.340645, 0.097602, 0.875561, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.298488, 0.689893, -0.307811, 0.577306, 0.083196, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.268021, 0.010929, 0.868690, 0.265274, 0.321018, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.945057, 52.483133, 54.025787, 66.160402, 233.685011], [30.841730, 32.459952, 34.796294, 39.664363, 213.985833], [6.623477, 7.110841, 7.290983, 7.322984, 7.342583], [20.178206, 22.063958, 22.687729, 26.823835, 33.572688], [15.088990, 18.115185, 22.967158, 23.334250, 89.637202]]
### 4
mean: [-2.667898, -2.110979, -0.189963, 1.900225, 0.761833]
std: [2.200935, 1.678916, 0.510343, 2.738528, 0.514117]
pca: [[-0.560515, 0.443008, -0.319364, 0.158413, 0.602062, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.429754, 0.248785, 0.715175, -0.485981, -0.075923, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.007929, 0.615679, 0.097203, 0.551792, -0.554034, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.697347, 0.556549, 0.078991, -0.270632, 0.352816, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.121563, -0.230311, 0.608969, 0.600842, 0.447577, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.719217, 38.031496, 40.966071, 45.916420, 240.110822], [22.017002, 29.617096, 32.083675, 36.002816, 189.988137], [7.522406, 7.589799, 7.910785, 8.946762, 17.096665], [43.415774, 49.139542, 52.994272, 63.593210, 171.020231], [7.959898, 8.143337, 8.460316, 9.631709, 68.564977]]
### 6
mean: [-0.267873, -0.244414, -0.696620, -0.101787, 1.770268]
std: [0.876764, 0.622801, 0.402515, 0.566664, 2.262516]
pca: [[-0.337596, -0.194732, -0.318472, 0.741935, 0.442963, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.239934, 0.023131, 0.366608, -0.420026, 0.794401, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.144498, 0.939739, 0.168343, 0.259894, -0.011280, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.217425, -0.279548, 0.831022, 0.340300, -0.261110, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.871956, 0.016995, 0.212690, 0.299601, 0.323118, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.280476, 16.216825, 16.870483, 20.166961, 24.108590], [9.904365, 11.678648, 11.933432, 13.922897, 21.997227], [5.507693, 6.814227, 7.044962, 8.399605, 62.695757], [9.160839, 9.536654, 10.430966, 11.195683, 12.663567], [36.010744, 42.262469, 43.211734, 51.349939, 159.324133]]
### 8
mean: [-0.102751, -0.168238, 0.679973, 0.703469, 1.036927]
std: [0.236496, 0.166676, 1.321252, 1.188194, 1.687033]
pca: [[-0.093088, 0.634486, 0.437096, 0.417672, 0.472503, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.065600, -0.444662, -0.311349, 0.824986, 0.142944, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.535831, -0.185865, -0.187816, -0.259900, 0.758628, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.481695, -0.388474, 0.745346, 0.145068, -0.201179, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.684022, 0.462867, -0.348129, 0.237394, -0.374590, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.848671, 4.489009, 4.898713, 5.218641, 9.247561], [2.361812, 2.873722, 3.316202, 3.718447, 15.141401], [22.492061, 23.724508, 25.885011, 29.881566, 61.197615], [20.379979, 21.135696, 23.389256, 26.834106, 63.312259], [28.042285, 30.927328, 32.522805, 38.151207, 93.323448]]
### 10
mean: [-1.110197]
std: [1.514273]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.955802, 27.810998, 28.735389, 33.956489, 99.917717]]
## 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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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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-0.607648,
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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: [1.282725, 1.776805, 1.230109, -1.849743, -1.704156]
std: [1.468969, 2.627673, 1.829303, 0.920267, 1.074734]
pca: [[0.384907, 0.341950, 0.164775, 0.833275, -0.115835, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.840245, -0.291453, 0.263503, -0.287446, 0.238714, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.230389, 0.850945, -0.215376, -0.418312, -0.037966, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.131531, 0.106464, 0.793949, -0.215384, -0.542788, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.274690, 0.250365, 0.476103, 0.040643, 0.795951, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.425747, 24.275670, 24.297288, 26.018857, 115.445217], [43.176279, 48.885047, 52.897654, 61.198819, 159.912433], [25.495443, 26.118897, 28.458850, 33.365171, 110.709798], [13.436223, 13.611247, 13.961515, 16.579383, 166.476858], [18.564324, 19.695320, 21.635314, 21.821095, 153.374077]]
### 2
mean: [2.596500, 2.377620, -0.024946, -0.136419, -0.995969]
std: [2.832327, 2.005215, 0.450712, 1.417553, 1.032910]
pca: [[0.768580, -0.126310, 0.090585, 0.611703, -0.104615, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.497571, 0.633185, 0.162434, -0.461130, 0.335373, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.027874, -0.327186, -0.340645, 0.097602, 0.875561, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.298488, 0.689893, -0.307811, 0.577306, 0.083196, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.268021, 0.010929, 0.868690, 0.265274, 0.321018, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.945057, 52.483133, 54.025787, 66.160402, 233.685011], [30.841730, 32.459952, 34.796294, 39.664363, 213.985833], [6.623477, 7.110841, 7.290983, 7.322984, 7.342583], [20.178206, 22.063958, 22.687729, 26.823835, 33.572688], [15.088990, 18.115185, 22.967158, 23.334250, 89.637202]]
### 4
mean: [-2.667898, -2.110979, -0.189963, 1.900225, 0.761833]
std: [2.200935, 1.678916, 0.510343, 2.738528, 0.514117]
pca: [[-0.560515, 0.443008, -0.319364, 0.158413, 0.602062, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.429754, 0.248785, 0.715175, -0.485981, -0.075923, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.007929, 0.615679, 0.097203, 0.551792, -0.554034, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.697347, 0.556549, 0.078991, -0.270632, 0.352816, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.121563, -0.230311, 0.608969, 0.600842, 0.447577, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.719217, 38.031496, 40.966071, 45.916420, 240.110822], [22.017002, 29.617096, 32.083675, 36.002816, 189.988137], [7.522406, 7.589799, 7.910785, 8.946762, 17.096665], [43.415774, 49.139542, 52.994272, 63.593210, 171.020231], [7.959898, 8.143337, 8.460316, 9.631709, 68.564977]]
### 6
mean: [-0.267873, -0.244414, -0.696620, -0.101787, 1.770268]
std: [0.876764, 0.622801, 0.402515, 0.566664, 2.262516]
pca: [[-0.337596, -0.194732, -0.318472, 0.741935, 0.442963, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.239934, 0.023131, 0.366608, -0.420026, 0.794401, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.144498, 0.939739, 0.168343, 0.259894, -0.011280, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.217425, -0.279548, 0.831022, 0.340300, -0.261110, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.871956, 0.016995, 0.212690, 0.299601, 0.323118, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.280476, 16.216825, 16.870483, 20.166961, 24.108590], [9.904365, 11.678648, 11.933432, 13.922897, 21.997227], [5.507693, 6.814227, 7.044962, 8.399605, 62.695757], [9.160839, 9.536654, 10.430966, 11.195683, 12.663567], [36.010744, 42.262469, 43.211734, 51.349939, 159.324133]]
### 8
mean: [-0.102751, -0.168238, 0.679973, 0.703469, 1.036927]
std: [0.236496, 0.166676, 1.321252, 1.188194, 1.687033]
pca: [[-0.093088, 0.634486, 0.437096, 0.417672, 0.472503, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.065600, -0.444662, -0.311349, 0.824986, 0.142944, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.535831, -0.185865, -0.187816, -0.259900, 0.758628, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.481695, -0.388474, 0.745346, 0.145068, -0.201179, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.684022, 0.462867, -0.348129, 0.237394, -0.374590, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.848671, 4.489009, 4.898713, 5.218641, 9.247561], [2.361812, 2.873722, 3.316202, 3.718447, 15.141401], [22.492061, 23.724508, 25.885011, 29.881566, 61.197615], [20.379979, 21.135696, 23.389256, 26.834106, 63.312259], [28.042285, 30.927328, 32.522805, 38.151207, 93.323448]]
### 10
mean: [-1.110197]
std: [1.514273]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.955802, 27.810998, 28.735389, 33.956489, 99.917717]]
## 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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"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": [[0.452091, -0.290238, -0.114662, 0.594207, 0.212345], [0.812063, -0.428604, 0.15243, 0.135029, 0.919359], [-0.163098, 0.355458, -0.294113, 0.564537, 0.471456], [0.003997, -0.0004, -0.45942, -0.115697, 0.009871], [-0.201088, 0.075134, -0.379299, 0.001858, -0.205686]], "network.0.bias": [-0.047619, -0.194597, -0.392358, -0.658379, -0.548815], "network.2.weight": [[0.695661, 0.853349, 0.007901, -0.076964, -0.085072], [0.511503, 0.355062, 0.540299, -0.480962, 0.170123], [-0.134716, 0.167491, -0.183194, 0.274939, -0.2051], [-0.379224, -0.449805, 0.548338, -0.131292, 0.053978], [0.15709, -0.431836, -0.204154, -0.208588, 0.260353]], "network.2.bias": [0.026682, 0.273811, 0.083547, 0.476569, -0.096135], "network.4.weight": [[-0.41373, -0.559579, 0.300664, -0.304526, -0.236228], [-0.40778, -0.304516, -0.010891, -0.354992, 0.134152], [0.176506, -0.316313, -0.192507, -0.526273, -0.157349], [0.728111, 0.271156, -0.052138, -0.606263, 0.561648], [0.094567, 0.141671, -0.452758, 0.136462, -0.496843]], "network.4.bias": [-0.245751, -0.227035, 0.264388, -0.339592, 0.126835], "network.6.weight": [[-0.354527, 0.077743, -0.143697, -0.339745, 0.061492], [-0.060429, -0.268501, 0.27799, -0.242231, 0.067103], [-0.090839, 0.001784, -0.204864, -0.040903, -0.596577], [-0.607648, -0.46601, 0.373343, -0.24938, 0.317995], [0.396404, -0.134675, -0.187053, 0.859558, -0.011152]], "network.6.bias": [0.359124, 0.177122, -0.242452, 0.126898, 0.063446], "network.8.weight": [[0.277488, 0.043141, -0.261256, 0.360854, -0.058702], [0.111589, -0.25539, 0.341472, -0.264085, -0.09361], [-0.410233, -0.039045, -0.003845, -0.580378, 0.521405], [-0.282014, -0.541336, -0.167493, -0.355527, 0.462306], [-0.364064, -0.658882, 0.521947, 0.091419, 0.699358]], "network.8.bias": [-0.080909, 0.05228, -0.165642, -0.079821, -0.082607], "network.10.weight": [[0.314221, -0.015663, -0.422303, -0.356705, -0.360569]], "network.10.bias": [-0.12433]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6901782751083374, "train_acc": 0.58, "val_loss": 0.7026516199111938, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6614964306354523, "train_acc": 0.58, "val_loss": 0.6374850869178772, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6214555501937866, "train_acc": 0.505, "val_loss": 0.42181843519210815, "val_acc": 0.96}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4568154662847519, "train_acc": 0.795, "val_loss": 0.32717064023017883, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.41846540570259094, "train_acc": 0.825, "val_loss": 0.2990710437297821, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3437768369913101, "train_acc": 0.85, "val_loss": 0.18190303444862366, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3394104242324829, "train_acc": 0.88, "val_loss": 0.6709911227226257, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.6454961001873016, "train_acc": 0.8, "val_loss": 0.26520219445228577, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.42748481035232544, "train_acc": 0.84, "val_loss": 0.37843647599220276, "val_acc": 0.82}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7026516199111938, "final_val_loss": 0.6374850869178772, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.42181843519210815, "final_val_loss": 0.37843647599220276, "initial_val_acc": 0.96, "final_val_acc": 0.82, "best_val_acc": 0.96, "best_epoch": 2}, "improvement": 0.48, "first_improvement_epoch": 1}}
|
9,626
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.46, "improved_accuracy": 0.9, "improvement": 0.44, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3593, "learning_rate": 0.06662204221901268, "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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[
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[
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[
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[
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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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],
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],
[
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]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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-3.6e-05,
-0.543855,
0.400721,
-0.41073,
-0.011313,
0.471657,
-0.764083
]
],
"network.10.bias": [
0.030237
]
}
## Activation Signature
### 0
mean: [3.187999, -2.134488, 1.506628, -0.915874, 3.718396, 2.546364, 2.685302, 2.410068]
std: [2.725140, 1.056358, 1.589087, 1.791900, 3.263189, 2.705075, 2.472031, 1.635507]
pca: [[0.466979, -0.228534, 0.014638, -0.011921, -0.321660, 0.262870, 0.744954, -0.042705, 0.000000, 0.000000], [-0.104759, -0.187826, -0.277042, 0.565614, 0.438170, 0.490028, 0.058806, 0.348563, 0.000000, 0.000000], [0.201086, 0.314981, -0.378102, -0.529230, 0.550290, -0.122309, 0.263156, 0.224223, 0.000000, 0.000000], [-0.213982, 0.518549, -0.215582, 0.489218, -0.213226, -0.451273, 0.377534, 0.088680, 0.000000, 0.000000], [0.560400, 0.047989, -0.392463, 0.299603, 0.130339, -0.097982, -0.266740, -0.584911, 0.000000, 0.000000], [0.459692, -0.279745, -0.046694, 0.097779, -0.177969, -0.419491, -0.263085, 0.649482, 0.000000, 0.000000], [0.360612, 0.390487, 0.738283, 0.224384, 0.342077, 0.035726, 0.021227, 0.057662, 0.000000, 0.000000], [0.171250, 0.557985, -0.179797, -0.104155, -0.436554, 0.534150, -0.298308, 0.226423, 0.000000, 0.000000]]
fourier: [[44.982233, 46.245593, 46.533021, 48.602972, 286.919911], [17.225772, 17.472424, 17.623110, 20.281705, 192.103893], [24.483703, 25.146117, 26.552850, 31.255735, 135.596529], [28.529358, 30.023513, 30.561751, 31.587814, 82.428689], [51.758810, 53.345740, 53.351163, 56.626266, 334.655620], [43.419714, 45.850882, 46.778145, 47.859190, 229.172780], [40.228578, 40.927123, 43.710673, 49.789240, 241.677156], [26.781218, 29.006047, 29.656647, 32.152414, 216.906099]]
### 2
mean: [-1.405093, -2.925831, -2.011952, -2.416424, 8.493543, -2.922992, 4.986239, -3.988850]
std: [0.717647, 2.251959, 1.205768, 1.707510, 7.194287, 3.223238, 4.543126, 3.023930]
pca: [[-0.055015, 0.339093, -0.094139, 0.402613, 0.157153, 0.342259, 0.181475, 0.732297, 0.000000, 0.000000], [-0.220800, 0.336077, 0.136479, 0.154705, -0.672739, -0.187557, 0.536825, -0.140724, 0.000000, 0.000000], [-0.110825, 0.320411, 0.360661, -0.113014, 0.686535, -0.161130, 0.438744, -0.228947, 0.000000, 0.000000], [-0.166165, 0.249206, 0.016345, 0.668259, 0.105234, -0.418104, -0.487600, -0.199519, 0.000000, 0.000000], [0.720013, -0.065297, -0.227142, 0.425201, 0.059327, 0.160192, 0.312459, -0.343680, 0.000000, 0.000000], [-0.315846, -0.450066, 0.509520, 0.364764, -0.012379, 0.515276, 0.030317, -0.196053, 0.000000, 0.000000], [0.449795, 0.455448, 0.590074, -0.160790, -0.189697, 0.224988, -0.359813, 0.011874, 0.000000, 0.000000], [-0.296369, 0.439369, -0.427523, -0.122167, 0.025728, 0.552373, -0.143600, -0.441611, 0.000000, 0.000000]]
fourier: [[11.811713, 12.259414, 14.339478, 14.487182, 126.458332], [34.183423, 35.690887, 41.458058, 44.093902, 263.324832], [18.049699, 18.491943, 24.022513, 24.381556, 181.075696], [27.205110, 27.834878, 28.772522, 33.758510, 217.478164], [114.939375, 122.275952, 131.239069, 135.847642, 764.418818], [50.929751, 53.832824, 57.673710, 57.819928, 263.069305], [75.739572, 76.572191, 79.922798, 82.102127, 448.761532], [46.442964, 46.477780, 55.420450, 58.703139, 358.996465]]
### 4
mean: [6.641922, -3.520763, -0.724227, -3.323379, -2.424868, -2.971501, 6.830006, -1.126518]
std: [5.821874, 3.010859, 1.178901, 3.074269, 2.421870, 2.470404, 6.026896, 0.762370]
pca: [[0.574833, 0.103558, 0.610034, -0.431484, 0.161104, 0.022211, 0.271599, 0.017561, 0.000000, 0.000000], [-0.296880, -0.511946, 0.152219, 0.117252, -0.034999, 0.172598, 0.648610, 0.401429, 0.000000, 0.000000], [-0.114804, 0.563501, -0.321570, -0.147171, 0.222088, 0.619354, 0.333354, 0.013108, 0.000000, 0.000000], [-0.303321, 0.316696, 0.426552, 0.369050, -0.208612, -0.120563, 0.320139, -0.573596, 0.000000, 0.000000], [-0.238700, 0.451456, 0.218345, 0.202624, 0.385368, -0.407271, -0.067956, 0.575745, 0.000000, 0.000000], [-0.243790, -0.298370, -0.033250, -0.155032, 0.799859, -0.116656, 0.020080, -0.415469, 0.000000, 0.000000], [0.595209, -0.041677, -0.225189, 0.691933, 0.264181, -0.010009, 0.207773, -0.038047, 0.000000, 0.000000], [-0.074572, -0.121583, 0.468875, 0.313615, 0.147998, 0.626101, -0.493695, 0.061791, 0.000000, 0.000000]]
fourier: [[94.668199, 101.090272, 103.368535, 107.796527, 597.772961], [48.642433, 53.515112, 53.973562, 54.318869, 316.868659], [19.011252, 19.065609, 20.324820, 23.584343, 65.180475], [49.170380, 52.623251, 56.152602, 57.575086, 299.104095], [38.737132, 40.939049, 43.967141, 46.058743, 218.238107], [40.030232, 43.569848, 44.282951, 44.796272, 267.435150], [97.210569, 104.509733, 108.840533, 111.483632, 614.700522], [11.916054, 13.278966, 13.581354, 14.566504, 101.386591]]
### 6
mean: [5.318317, 7.727077, 2.796421, -4.069110, 3.928759, -1.500847, -1.783009, -1.453788]
std: [5.039359, 6.862848, 2.665781, 3.488234, 3.462406, 1.896061, 2.264974, 1.921885]
pca: [[0.467708, -0.006703, 0.076957, -0.404353, 0.712105, -0.173874, 0.255618, -0.095468, 0.000000, 0.000000], [0.636895, 0.313247, -0.161194, -0.156154, -0.525716, -0.327476, -0.178806, -0.174025, 0.000000, 0.000000], [0.247384, 0.087843, 0.682159, 0.600983, 0.100825, -0.247731, -0.097038, 0.153656, 0.000000, 0.000000], [-0.323743, 0.011983, 0.309564, -0.538180, -0.144658, -0.488603, -0.098140, 0.490192, 0.000000, 0.000000], [0.321278, 0.256381, -0.035082, -0.072733, -0.018087, 0.565815, 0.014745, 0.709814, 0.000000, 0.000000], [-0.175463, 0.503297, 0.356085, -0.272657, 0.136923, 0.340917, -0.492279, -0.370749, 0.000000, 0.000000], [-0.209616, 0.598954, 0.097621, 0.040406, -0.135058, -0.039322, 0.745888, -0.100088, 0.000000, 0.000000], [-0.177933, 0.464958, -0.519005, 0.282897, 0.384866, -0.352854, -0.291093, 0.213058, 0.000000, 0.000000]]
fourier: [[81.633866, 87.932251, 90.381510, 93.663549, 478.648511], [111.047372, 119.352346, 123.263298, 127.034974, 695.436939], [43.197163, 46.404806, 47.510353, 49.324023, 251.677844], [56.348085, 60.753827, 62.643661, 65.057405, 366.219864], [56.006098, 60.126054, 62.192855, 63.874933, 353.588353], [30.694995, 33.428794, 33.866655, 36.290500, 135.076209], [36.765677, 40.006713, 40.357463, 43.212050, 160.470842], [31.343159, 33.985473, 34.044438, 36.418269, 130.840947]]
### 8
mean: [-4.999067, -3.482716, 7.355652, -3.313471, 7.112509, -4.260350, -1.590872, 9.942917]
std: [4.407874, 2.854804, 7.027940, 3.843229, 6.509897, 3.532742, 2.348232, 9.081971]
pca: [[-0.287715, 0.322877, -0.222743, -0.616447, -0.243437, 0.351009, 0.074331, 0.441991, 0.000000, 0.000000], [-0.186395, 0.181841, 0.050467, 0.636468, -0.411275, 0.384136, 0.453018, 0.051180, 0.000000, 0.000000], [0.459231, 0.146325, 0.554141, 0.005825, 0.403100, 0.366272, 0.070634, 0.398693, 0.000000, 0.000000], [-0.250941, -0.238716, -0.449772, 0.284662, 0.530070, -0.104438, 0.152576, 0.530618, 0.000000, 0.000000], [0.425408, -0.076126, -0.552736, -0.087627, 0.198156, 0.519041, 0.175333, -0.400782, 0.000000, 0.000000], [-0.229011, 0.674663, 0.036656, -0.058218, 0.445868, -0.231323, 0.351394, -0.334461, 0.000000, 0.000000], [-0.151662, -0.540614, 0.281516, -0.348925, 0.022277, -0.043688, 0.683907, -0.116630, 0.000000, 0.000000], [0.593459, 0.176237, -0.228822, -0.031918, -0.299279, -0.509261, 0.372872, 0.274629, 0.000000, 0.000000]]
fourier: [[71.060774, 76.424831, 79.148900, 80.645483, 449.915984], [46.084942, 49.481971, 51.201651, 52.401434, 313.444418], [113.737481, 123.833607, 126.309865, 131.985782, 662.008646], [62.350355, 68.190604, 68.978393, 72.883169, 298.212399], [105.315167, 113.874249, 117.016117, 121.319255, 640.125800], [56.752150, 59.784576, 62.133558, 62.881797, 383.431453], [38.237231, 41.878761, 42.545563, 46.075541, 143.178472], [147.092503, 159.825530, 163.260269, 170.580486, 894.862535]]
### 10
mean: [-14.401833]
std: [13.527805]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[218.676119, 239.484093, 243.788727, 253.889842, 1296.164948]]
## 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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[
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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.6.weight": [
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]
],
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"network.8.weight": [
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[
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [3.187999, -2.134488, 1.506628, -0.915874, 3.718396, 2.546364, 2.685302, 2.410068]
std: [2.725140, 1.056358, 1.589087, 1.791900, 3.263189, 2.705075, 2.472031, 1.635507]
pca: [[0.466979, -0.228534, 0.014638, -0.011921, -0.321660, 0.262870, 0.744954, -0.042705, 0.000000, 0.000000], [-0.104759, -0.187826, -0.277042, 0.565614, 0.438170, 0.490028, 0.058806, 0.348563, 0.000000, 0.000000], [0.201086, 0.314981, -0.378102, -0.529230, 0.550290, -0.122309, 0.263156, 0.224223, 0.000000, 0.000000], [-0.213982, 0.518549, -0.215582, 0.489218, -0.213226, -0.451273, 0.377534, 0.088680, 0.000000, 0.000000], [0.560400, 0.047989, -0.392463, 0.299603, 0.130339, -0.097982, -0.266740, -0.584911, 0.000000, 0.000000], [0.459692, -0.279745, -0.046694, 0.097779, -0.177969, -0.419491, -0.263085, 0.649482, 0.000000, 0.000000], [0.360612, 0.390487, 0.738283, 0.224384, 0.342077, 0.035726, 0.021227, 0.057662, 0.000000, 0.000000], [0.171250, 0.557985, -0.179797, -0.104155, -0.436554, 0.534150, -0.298308, 0.226423, 0.000000, 0.000000]]
fourier: [[44.982233, 46.245593, 46.533021, 48.602972, 286.919911], [17.225772, 17.472424, 17.623110, 20.281705, 192.103893], [24.483703, 25.146117, 26.552850, 31.255735, 135.596529], [28.529358, 30.023513, 30.561751, 31.587814, 82.428689], [51.758810, 53.345740, 53.351163, 56.626266, 334.655620], [43.419714, 45.850882, 46.778145, 47.859190, 229.172780], [40.228578, 40.927123, 43.710673, 49.789240, 241.677156], [26.781218, 29.006047, 29.656647, 32.152414, 216.906099]]
### 2
mean: [-1.405093, -2.925831, -2.011952, -2.416424, 8.493543, -2.922992, 4.986239, -3.988850]
std: [0.717647, 2.251959, 1.205768, 1.707510, 7.194287, 3.223238, 4.543126, 3.023930]
pca: [[-0.055015, 0.339093, -0.094139, 0.402613, 0.157153, 0.342259, 0.181475, 0.732297, 0.000000, 0.000000], [-0.220800, 0.336077, 0.136479, 0.154705, -0.672739, -0.187557, 0.536825, -0.140724, 0.000000, 0.000000], [-0.110825, 0.320411, 0.360661, -0.113014, 0.686535, -0.161130, 0.438744, -0.228947, 0.000000, 0.000000], [-0.166165, 0.249206, 0.016345, 0.668259, 0.105234, -0.418104, -0.487600, -0.199519, 0.000000, 0.000000], [0.720013, -0.065297, -0.227142, 0.425201, 0.059327, 0.160192, 0.312459, -0.343680, 0.000000, 0.000000], [-0.315846, -0.450066, 0.509520, 0.364764, -0.012379, 0.515276, 0.030317, -0.196053, 0.000000, 0.000000], [0.449795, 0.455448, 0.590074, -0.160790, -0.189697, 0.224988, -0.359813, 0.011874, 0.000000, 0.000000], [-0.296369, 0.439369, -0.427523, -0.122167, 0.025728, 0.552373, -0.143600, -0.441611, 0.000000, 0.000000]]
fourier: [[11.811713, 12.259414, 14.339478, 14.487182, 126.458332], [34.183423, 35.690887, 41.458058, 44.093902, 263.324832], [18.049699, 18.491943, 24.022513, 24.381556, 181.075696], [27.205110, 27.834878, 28.772522, 33.758510, 217.478164], [114.939375, 122.275952, 131.239069, 135.847642, 764.418818], [50.929751, 53.832824, 57.673710, 57.819928, 263.069305], [75.739572, 76.572191, 79.922798, 82.102127, 448.761532], [46.442964, 46.477780, 55.420450, 58.703139, 358.996465]]
### 4
mean: [6.641922, -3.520763, -0.724227, -3.323379, -2.424868, -2.971501, 6.830006, -1.126518]
std: [5.821874, 3.010859, 1.178901, 3.074269, 2.421870, 2.470404, 6.026896, 0.762370]
pca: [[0.574833, 0.103558, 0.610034, -0.431484, 0.161104, 0.022211, 0.271599, 0.017561, 0.000000, 0.000000], [-0.296880, -0.511946, 0.152219, 0.117252, -0.034999, 0.172598, 0.648610, 0.401429, 0.000000, 0.000000], [-0.114804, 0.563501, -0.321570, -0.147171, 0.222088, 0.619354, 0.333354, 0.013108, 0.000000, 0.000000], [-0.303321, 0.316696, 0.426552, 0.369050, -0.208612, -0.120563, 0.320139, -0.573596, 0.000000, 0.000000], [-0.238700, 0.451456, 0.218345, 0.202624, 0.385368, -0.407271, -0.067956, 0.575745, 0.000000, 0.000000], [-0.243790, -0.298370, -0.033250, -0.155032, 0.799859, -0.116656, 0.020080, -0.415469, 0.000000, 0.000000], [0.595209, -0.041677, -0.225189, 0.691933, 0.264181, -0.010009, 0.207773, -0.038047, 0.000000, 0.000000], [-0.074572, -0.121583, 0.468875, 0.313615, 0.147998, 0.626101, -0.493695, 0.061791, 0.000000, 0.000000]]
fourier: [[94.668199, 101.090272, 103.368535, 107.796527, 597.772961], [48.642433, 53.515112, 53.973562, 54.318869, 316.868659], [19.011252, 19.065609, 20.324820, 23.584343, 65.180475], [49.170380, 52.623251, 56.152602, 57.575086, 299.104095], [38.737132, 40.939049, 43.967141, 46.058743, 218.238107], [40.030232, 43.569848, 44.282951, 44.796272, 267.435150], [97.210569, 104.509733, 108.840533, 111.483632, 614.700522], [11.916054, 13.278966, 13.581354, 14.566504, 101.386591]]
### 6
mean: [5.318317, 7.727077, 2.796421, -4.069110, 3.928759, -1.500847, -1.783009, -1.453788]
std: [5.039359, 6.862848, 2.665781, 3.488234, 3.462406, 1.896061, 2.264974, 1.921885]
pca: [[0.467708, -0.006703, 0.076957, -0.404353, 0.712105, -0.173874, 0.255618, -0.095468, 0.000000, 0.000000], [0.636895, 0.313247, -0.161194, -0.156154, -0.525716, -0.327476, -0.178806, -0.174025, 0.000000, 0.000000], [0.247384, 0.087843, 0.682159, 0.600983, 0.100825, -0.247731, -0.097038, 0.153656, 0.000000, 0.000000], [-0.323743, 0.011983, 0.309564, -0.538180, -0.144658, -0.488603, -0.098140, 0.490192, 0.000000, 0.000000], [0.321278, 0.256381, -0.035082, -0.072733, -0.018087, 0.565815, 0.014745, 0.709814, 0.000000, 0.000000], [-0.175463, 0.503297, 0.356085, -0.272657, 0.136923, 0.340917, -0.492279, -0.370749, 0.000000, 0.000000], [-0.209616, 0.598954, 0.097621, 0.040406, -0.135058, -0.039322, 0.745888, -0.100088, 0.000000, 0.000000], [-0.177933, 0.464958, -0.519005, 0.282897, 0.384866, -0.352854, -0.291093, 0.213058, 0.000000, 0.000000]]
fourier: [[81.633866, 87.932251, 90.381510, 93.663549, 478.648511], [111.047372, 119.352346, 123.263298, 127.034974, 695.436939], [43.197163, 46.404806, 47.510353, 49.324023, 251.677844], [56.348085, 60.753827, 62.643661, 65.057405, 366.219864], [56.006098, 60.126054, 62.192855, 63.874933, 353.588353], [30.694995, 33.428794, 33.866655, 36.290500, 135.076209], [36.765677, 40.006713, 40.357463, 43.212050, 160.470842], [31.343159, 33.985473, 34.044438, 36.418269, 130.840947]]
### 8
mean: [-4.999067, -3.482716, 7.355652, -3.313471, 7.112509, -4.260350, -1.590872, 9.942917]
std: [4.407874, 2.854804, 7.027940, 3.843229, 6.509897, 3.532742, 2.348232, 9.081971]
pca: [[-0.287715, 0.322877, -0.222743, -0.616447, -0.243437, 0.351009, 0.074331, 0.441991, 0.000000, 0.000000], [-0.186395, 0.181841, 0.050467, 0.636468, -0.411275, 0.384136, 0.453018, 0.051180, 0.000000, 0.000000], [0.459231, 0.146325, 0.554141, 0.005825, 0.403100, 0.366272, 0.070634, 0.398693, 0.000000, 0.000000], [-0.250941, -0.238716, -0.449772, 0.284662, 0.530070, -0.104438, 0.152576, 0.530618, 0.000000, 0.000000], [0.425408, -0.076126, -0.552736, -0.087627, 0.198156, 0.519041, 0.175333, -0.400782, 0.000000, 0.000000], [-0.229011, 0.674663, 0.036656, -0.058218, 0.445868, -0.231323, 0.351394, -0.334461, 0.000000, 0.000000], [-0.151662, -0.540614, 0.281516, -0.348925, 0.022277, -0.043688, 0.683907, -0.116630, 0.000000, 0.000000], [0.593459, 0.176237, -0.228822, -0.031918, -0.299279, -0.509261, 0.372872, 0.274629, 0.000000, 0.000000]]
fourier: [[71.060774, 76.424831, 79.148900, 80.645483, 449.915984], [46.084942, 49.481971, 51.201651, 52.401434, 313.444418], [113.737481, 123.833607, 126.309865, 131.985782, 662.008646], [62.350355, 68.190604, 68.978393, 72.883169, 298.212399], [105.315167, 113.874249, 117.016117, 121.319255, 640.125800], [56.752150, 59.784576, 62.133558, 62.881797, 383.431453], [38.237231, 41.878761, 42.545563, 46.075541, 143.178472], [147.092503, 159.825530, 163.260269, 170.580486, 894.862535]]
### 10
mean: [-14.401833]
std: [13.527805]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[218.676119, 239.484093, 243.788727, 253.889842, 1296.164948]]
## 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": [[0.609123, 0.838821, 0.523665, -0.127238, -0.320366], [0.060058, -0.267573, -0.183424, -0.336304, 0.035843], [0.129536, 0.726339, -0.183314, 0.021372, 0.40589], [0.04963, -0.709891, -0.375197, 0.329284, 0.503314], [0.970908, 0.984897, 0.250032, -0.147324, 0.039863], [0.637699, 0.826431, 0.483857, -0.214136, -0.324244], [0.841292, 0.392045, -0.052516, 0.629545, -0.411294], [0.339371, 0.20271, -0.019024, 0.416928, 0.423117]], "network.0.bias": [0.475555, -0.661519, -0.141629, -0.227198, 0.459927, 0.09522, 0.190904, 0.242174], "network.2.weight": [[-0.076124, -0.001939, 0.004605, -0.194273, -0.188091, 0.126614, 0.07009, -0.253802], [0.17272, 0.352843, -0.269883, -0.200829, -0.259749, -0.339227, -0.309927, -0.057594], [-0.015333, 0.317674, -0.015416, 0.049701, -0.000507, -0.100648, -0.198419, -0.349049], [-0.112572, -0.211577, 0.013801, -0.354951, -0.206817, -0.144163, -0.130012, -0.160745], [0.415102, 0.285999, 0.450709, -0.388227, 0.546274, 0.644439, 0.995068, 0.069665], [0.017236, -0.117138, 0.267834, 0.044365, -0.478259, -0.392535, -0.615967, 0.31028], [0.470452, -0.12701, 0.126852, -0.404032, 0.272046, 0.608954, 0.362615, -0.090663], [-0.443507, 0.07033, -0.370844, 0.146925, -0.341544, 0.127991, -0.114616, -0.342592]], "network.2.bias": [-0.322205, -0.15234, -0.304094, -0.077872, -0.05385, 0.329074, -0.001241, 0.056408], "network.4.weight": [[0.294791, -0.313379, 0.082466, -0.208749, 0.476597, -0.321781, 0.528648, 0.277839], [0.008844, -0.219588, -0.283866, -0.241088, -0.147318, -0.30791, -0.442215, -0.519841], [-0.115388, -0.126922, 0.16037, 0.340077, -0.241461, 0.445085, 0.137719, -0.082231], [-0.109623, -0.353512, -0.086533, -0.176916, -0.389451, -0.082086, -0.063036, -0.105885], [-0.172839, -0.32487, 0.09794, 0.217307, -0.354633, 0.094453, 0.031233, 0.132743], [-0.236474, -0.213692, 0.299956, -0.305963, -0.145543, -0.107491, -0.320462, -0.108452], [-0.070444, -0.136577, -0.175993, 0.234185, 0.57739, 0.081667, 0.421892, 0.029775], [-0.138164, -0.219081, 0.091984, -0.272912, -0.061006, -0.317084, -0.077865, -0.171494]], "network.4.bias": [-0.02841, -0.01904, 0.591343, 0.309003, 0.421107, -0.115861, -0.20022, -0.18619], "network.6.weight": [[0.459114, -0.243277, -0.262313, -0.049871, -0.419474, 0.326501, 0.385306, -0.273301], [0.462789, 0.406775, -0.158469, -0.517143, 0.022209, 0.293732, 0.688831, 0.078189], [0.350493, -0.240285, -0.175934, -0.039635, 0.275258, 0.172306, 0.102127, -0.35276], [-0.126531, 0.154749, 0.359256, -0.02915, -0.067318, 0.010753, -0.449443, 0.325368], [0.242186, 0.124431, 0.017363, -0.134375, 0.07634, -0.3448, 0.341698, -0.468582], [-0.051469, -0.168492, 0.674777, 0.232747, 0.376821, 0.324205, -0.246825, -0.319933], [-0.202897, -0.041409, 0.710222, 0.187843, 0.649309, -0.206574, -0.159493, 0.05587], [-0.374674, -0.061615, 0.489769, 0.363643, 0.566684, -0.27358, 0.057633, -0.238631]], "network.6.bias": [-0.31978, -0.033597, -0.218318, -0.201167, -0.019683, 0.428685, 0.544136, 0.562519], "network.8.weight": [[-0.362726, -0.432082, -0.012098, -0.184733, 0.103001, -0.133915, 0.002825, -0.153736], [-0.291708, 0.088609, -0.18023, 0.191249, -0.445471, 0.018092, 0.19687, -0.340096], [0.673313, 0.459526, 0.191385, -0.173198, -0.048699, -0.229588, -0.591165, -0.170257], [-0.283755, -0.174283, -0.225109, 0.138431, -0.136547, -0.088214, 0.592252, 0.362284], [0.157306, 0.595733, 0.074105, -0.294425, 0.394678, -0.184992, -0.216107, -0.049311], [0.159421, -0.530207, -0.410477, -0.108518, 0.065519, -0.448786, -0.375406, -0.329082], [-0.027982, -0.329997, 0.133554, 0.101887, -0.010172, 0.576514, 0.38751, 0.456074], [0.235716, 0.75891, 0.290124, -0.219345, 0.495068, -0.437474, -0.445851, -0.405458]], "network.8.bias": [-0.044521, -0.333563, 0.007647, 0.579755, -0.024924, 0.055749, 0.561884, 0.249927], "network.10.weight": [[-0.155028, -3.6e-05, -0.543855, 0.400721, -0.41073, -0.011313, 0.471657, -0.764083]], "network.10.bias": [0.030237]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6773949861526489, "train_acc": 0.59, "val_loss": 0.7129954695701599, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5988110899925232, "train_acc": 0.59, "val_loss": 0.6008710265159607, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.4710654765367508, "train_acc": 0.65, "val_loss": 0.45855456590652466, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.30391936004161835, "train_acc": 0.895, "val_loss": 0.6233583092689514, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.30828627943992615, "train_acc": 0.9, "val_loss": 0.640523374080658, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.21267497539520264, "train_acc": 0.92, "val_loss": 0.39616888761520386, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.1795487403869629, "train_acc": 0.93, "val_loss": 0.36879196763038635, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.15546106547117233, "train_acc": 0.94, "val_loss": 0.3243848383426666, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.1376650556921959, "train_acc": 0.96, "val_loss": 0.3392093777656555, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.12515192478895187, "train_acc": 0.955, "val_loss": 0.34517693519592285, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.13153649494051933, "train_acc": 0.945, "val_loss": 0.3712919354438782, "val_acc": 0.88}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.7129954695701599, "final_val_loss": 0.6008710265159607, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.45855456590652466, "final_val_loss": 0.3712919354438782, "initial_val_acc": 0.8, "final_val_acc": 0.88, "best_val_acc": 0.9, "best_epoch": 5}, "improvement": 0.44, "first_improvement_epoch": 1}}
|
9,627
|
{"target_pattern": "alternating", "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": 1651, "learning_rate": 0.06535165556047652, "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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.210822,
0.513082,
-0.160342,
-0.084037,
-0.035193,
0.212637
],
[
-0.26722,
0.102997,
0.288076,
0.395962,
-0.325168,
-0.040132,
0.042408,
-0.075155
],
[
0.035791,
0.078779,
0.055945,
-0.086452,
-0.231333,
-0.433566,
0.068864,
0.138042
],
[
-0.051869,
-0.009203,
-0.127863,
-0.184587,
0.335552,
-0.188762,
0.027245,
0.147879
],
[
-0.131391,
0.321699,
-0.181323,
-0.062162,
-0.352206,
-0.316792,
-0.010442,
-0.195204
],
[
0.02498,
-0.118283,
-0.361169,
0.250618,
-0.071144,
-0.425911,
-0.531843,
-0.452647
],
[
0.229201,
-0.034403,
0.219183,
0.623403,
-0.103651,
-0.161111,
-0.173169,
-0.105875
]
],
"network.6.bias": [
-0.063832,
0.387621,
-0.260794,
-0.044908,
-0.135957,
0.100181,
0.031614,
0.030454
],
"network.8.weight": [
[
-0.451877,
0.335974,
0.29012,
-0.05021,
0.311726,
0.033901,
0.193063,
0.61622
],
[
0.204903,
0.054861,
0.269035,
-0.222775,
0.130234,
-0.287097,
-0.375289,
0.429759
],
[
-0.239817,
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0.435841,
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],
[
-0.077968,
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0.229517,
0.020703,
0.033034,
-0.218562,
-0.11957,
0.327184
],
[
0.696776,
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0.296647,
0.28784,
0.113126,
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],
[
-0.347592,
0.165297,
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0.179573,
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0.263,
0.541159
],
[
-0.159784,
-0.206463,
0.282067,
0.16004,
-0.07951,
-0.262469,
-0.209881,
-0.18978
],
[
-0.217085,
0.025723,
0.291076,
0.141275,
0.083895,
-0.004052,
0.352621,
0.024375
]
],
"network.8.bias": [
0.266345,
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0.04414,
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0.15144,
0.237938,
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0.222748
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"network.10.weight": [
[
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[
0.209437,
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0.059864
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[
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-0.540474,
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-0.197326,
0.043669
],
[
-0.393231,
-0.416683,
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0.03387,
0.069208,
-0.093116,
0.324462,
-0.31332
],
[
-0.044155,
0.637094,
0.222985,
-0.050193,
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0.057058,
-0.04944,
-0.052483
],
[
0.320125,
0.065176,
0.532074,
-0.103041,
-0.126878,
0.372299,
0.171347,
0.219113
],
[
-0.175376,
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0.262978,
0.292271
],
[
0.223977,
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0.07757,
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]
],
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"network.12.weight": [
[
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]
],
"network.12.bias": [
0.212023
]
}
## Activation Signature
### 0
mean: [-0.578356, -0.923405, 0.504596, 0.205925, -1.173584, 2.366358, -1.074325, -1.250296]
std: [1.365193, 2.254968, 1.575982, 1.630220, 0.832859, 1.513468, 0.943714, 0.782122]
pca: [[0.382780, 0.172376, -0.275970, 0.614922, 0.038015, -0.230624, -0.347348, 0.440674, 0.000000, 0.000000], [0.743787, -0.309865, -0.121108, -0.020696, -0.407738, 0.027599, 0.237108, -0.335316, 0.000000, 0.000000], [0.011819, 0.622295, 0.380793, 0.350950, -0.328416, 0.385525, -0.026102, -0.295418, 0.000000, 0.000000], [-0.456862, -0.306984, -0.376319, 0.354107, -0.491650, 0.299563, 0.253081, 0.185800, 0.000000, 0.000000], [-0.057563, -0.057816, 0.567795, -0.025033, -0.458278, -0.540172, 0.185526, 0.366199, 0.000000, 0.000000], [0.088837, 0.591074, -0.399823, -0.281222, -0.020834, -0.100936, 0.579524, 0.239426, 0.000000, 0.000000], [0.280243, -0.115222, 0.275322, -0.210907, 0.080201, 0.636816, 0.022823, 0.612712, 0.000000, 0.000000], [0.040689, -0.163681, 0.253974, 0.498689, 0.515600, -0.013211, 0.622582, -0.068805, 0.000000, 0.000000]]
fourier: [[21.536182, 25.620503, 28.403321, 28.898080, 52.052082], [32.839229, 33.171807, 33.674901, 39.158418, 83.106458], [20.661568, 26.818879, 27.284310, 35.485030, 45.413642], [21.099989, 30.571905, 31.578963, 32.599291, 40.725293], [14.881279, 15.356282, 16.043027, 16.323546, 105.622555], [23.880515, 24.947509, 24.992699, 29.130377, 212.972260], [14.582266, 14.994813, 18.551718, 18.714700, 96.689281], [12.632460, 13.395759, 14.439667, 16.097425, 112.526591]]
### 2
mean: [0.534931, -0.910615, -0.240497, -1.329214, -0.344223, 2.116191, 2.077014, -1.676922]
std: [0.562974, 0.405268, 1.114719, 0.743768, 1.133497, 1.218185, 1.291806, 0.826882]
pca: [[-0.108351, -0.235420, 0.533462, -0.243825, 0.188708, 0.088817, 0.523844, -0.520475, 0.000000, 0.000000], [-0.134622, -0.169425, -0.204040, 0.120454, -0.221231, 0.623951, 0.540004, 0.408862, 0.000000, 0.000000], [-0.437937, 0.234817, 0.519205, 0.051415, 0.101759, -0.324752, 0.117399, 0.592667, 0.000000, 0.000000], [-0.275860, 0.152193, -0.442233, -0.311076, -0.403567, -0.508314, 0.409311, -0.140053, 0.000000, 0.000000], [-0.312236, 0.705671, 0.096469, 0.287555, -0.214521, 0.338218, -0.072661, -0.383215, 0.000000, 0.000000], [0.525262, 0.102398, 0.097408, 0.649537, -0.095153, -0.319894, 0.411875, -0.034658, 0.000000, 0.000000], [0.469134, 0.573401, -0.059048, -0.482293, 0.334693, 0.131816, 0.228769, 0.182487, 0.000000, 0.000000], [-0.329806, 0.018038, -0.431695, 0.299060, 0.758375, -0.069646, 0.159402, -0.098555, 0.000000, 0.000000]]
fourier: [[7.669345, 7.769292, 8.653814, 9.356672, 48.143800], [5.731552, 6.306161, 6.920777, 7.105879, 81.955340], [18.634316, 21.281703, 21.644765, 21.648332, 24.940184], [12.241771, 12.472491, 13.420680, 13.776848, 119.629227], [18.149741, 18.202693, 21.805441, 21.984210, 30.980093], [19.787713, 20.505040, 23.384905, 24.822841, 190.457240], [18.637929, 20.740922, 20.949611, 21.463268, 186.931277], [13.585522, 13.933088, 13.984210, 14.338064, 150.922985]]
### 4
mean: [-0.321836, -0.880011, -1.384473, 1.273037, -0.955670, 1.748217, -1.339458, -1.098886]
std: [0.130466, 0.369708, 0.861663, 1.476200, 0.438181, 0.726453, 0.712843, 0.431273]
pca: [[-0.016305, -0.116623, -0.172110, 0.928123, 0.034613, -0.274201, 0.002952, -0.136773, 0.000000, 0.000000], [-0.189570, -0.078159, -0.244850, -0.085745, 0.512807, 0.195915, 0.633318, -0.433827, 0.000000, 0.000000], [-0.436790, -0.235981, 0.403737, -0.181378, -0.242624, -0.552979, 0.039490, -0.437509, 0.000000, 0.000000], [0.767171, -0.210242, 0.474568, 0.006934, 0.248362, -0.061331, 0.016811, -0.276147, 0.000000, 0.000000], [-0.146210, -0.365020, 0.441614, 0.160355, -0.052538, 0.134884, 0.507475, 0.588355, 0.000000, 0.000000], [-0.144827, 0.731977, 0.507509, 0.239519, -0.059177, 0.277841, 0.107556, -0.189829, 0.000000, 0.000000], [-0.366368, -0.151782, 0.261665, 0.047573, 0.679722, 0.112059, -0.535659, 0.102449, 0.000000, 0.000000], [-0.088788, -0.433975, 0.033946, 0.113772, -0.383402, 0.684790, -0.202555, -0.364312, 0.000000, 0.000000]]
fourier: [[1.862977, 1.923253, 2.277460, 2.300145, 28.965233], [5.874178, 6.153236, 7.030210, 7.245110, 79.201035], [13.927584, 14.696514, 15.122258, 15.274987, 124.602598], [21.054003, 21.304147, 26.298296, 32.757128, 114.573312], [5.910749, 6.382254, 7.181339, 8.411130, 86.010312], [10.668137, 10.934484, 11.739828, 15.577641, 157.339513], [10.995108, 11.976094, 12.749631, 13.238576, 120.551185], [6.168807, 6.177377, 6.521596, 8.184455, 98.899778]]
### 6
mean: [0.508352, 0.950279, 0.216646, -0.922435, -0.721231, -0.539608, -0.366376, 0.610938]
std: [0.391197, 0.709242, 0.539631, 0.292650, 0.233372, 0.213839, 0.532888, 0.881560]
pca: [[-0.230763, -0.439710, 0.498904, 0.092864, 0.662464, 0.191234, -0.087122, -0.113384, 0.000000, 0.000000], [0.505905, -0.170994, -0.140537, 0.709947, 0.017379, 0.087336, 0.250415, -0.346999, 0.000000, 0.000000], [0.383332, -0.161486, 0.210542, -0.458894, 0.069733, -0.059967, 0.738396, 0.135572, 0.000000, 0.000000], [0.043181, 0.563525, 0.574447, -0.040943, -0.090097, -0.148206, 0.011707, -0.564526, 0.000000, 0.000000], [-0.119189, 0.323060, 0.270507, 0.489219, 0.133552, -0.342783, 0.204038, 0.626059, 0.000000, 0.000000], [0.032496, 0.411216, -0.501125, -0.127745, 0.710341, -0.160878, 0.085248, -0.157060, 0.000000, 0.000000], [0.357506, 0.376115, 0.115462, -0.034229, 0.101016, 0.767656, -0.160141, 0.301792, 0.000000, 0.000000], [0.631608, -0.137291, 0.139266, -0.135150, 0.123432, -0.444480, -0.556590, 0.148229, 0.000000, 0.000000]]
fourier: [[5.326662, 6.415520, 7.578917, 8.271671, 45.751690], [9.712717, 9.867189, 12.555832, 14.454817, 85.525137], [7.465707, 7.526078, 9.620076, 10.892342, 19.498099], [4.392307, 4.683414, 4.691668, 5.483218, 83.019160], [3.494542, 3.767499, 4.103710, 4.796524, 64.910759], [3.208388, 3.409886, 3.422663, 4.021189, 48.564680], [7.590659, 8.213092, 10.320810, 11.158220, 32.973871], [11.728506, 12.351448, 15.428487, 18.190402, 54.984394]]
### 8
mean: [0.899856, 0.213484, 0.797773, -0.340447, 0.564697, 0.580130, -0.635284, 0.274543]
std: [0.998908, 0.398888, 0.923810, 0.049729, 0.258997, 0.625693, 0.156436, 0.267142]
pca: [[0.629745, -0.090392, -0.016615, 0.101433, 0.239791, 0.677620, 0.051748, -0.255616, 0.000000, 0.000000], [0.243080, 0.453772, 0.049941, 0.630228, 0.326748, -0.416644, 0.224588, -0.067270, 0.000000, 0.000000], [0.581943, 0.171812, 0.030727, -0.424973, 0.026210, -0.393741, -0.537627, 0.074272, 0.000000, 0.000000], [-0.010980, 0.050877, 0.864861, 0.240034, -0.335218, 0.124923, -0.249260, -0.039771, 0.000000, 0.000000], [-0.116792, 0.824928, 0.008099, -0.299638, -0.059146, 0.366179, 0.137188, 0.244129, 0.000000, 0.000000], [0.393845, -0.163863, -0.087068, 0.163396, -0.471977, -0.017220, 0.322754, 0.675667, 0.000000, 0.000000], [-0.093638, -0.205039, 0.348495, -0.130346, 0.704064, 0.046654, 0.033361, 0.558351, 0.000000, 0.000000], [0.167432, -0.066436, 0.345261, -0.469930, -0.026647, -0.245034, 0.686736, -0.308474, 0.000000, 0.000000]]
fourier: [[13.665365, 14.773018, 18.201960, 19.752528, 80.987003], [5.830349, 6.240824, 6.930761, 7.690550, 19.213535], [12.741819, 13.580145, 17.267752, 17.931010, 71.799598], [0.883161, 0.909918, 0.981565, 1.018856, 30.640231], [3.574087, 4.184378, 4.735840, 5.634073, 50.822765], [8.487922, 9.224429, 11.213927, 12.432831, 52.211724], [2.358099, 2.700984, 2.775608, 2.893841, 57.175552], [3.677154, 4.103068, 5.003156, 5.194287, 24.708834]]
### 10
mean: [-0.049480, 0.534219, -0.966842, -0.708591, 0.334967, 1.106189, -0.799272, -0.266003]
std: [0.199089, 0.749557, 0.582652, 0.698674, 0.458533, 1.104778, 0.626518, 0.213801]
pca: [[0.109874, 0.008674, -0.043968, -0.460604, 0.422063, -0.037836, 0.723371, 0.266324, 0.000000, 0.000000], [0.413026, 0.357814, -0.228420, 0.168833, 0.625206, -0.228206, -0.217067, -0.361413, 0.000000, 0.000000], [-0.317662, 0.716198, 0.042041, -0.329314, -0.116724, 0.403448, 0.037088, -0.313313, 0.000000, 0.000000], [-0.385643, -0.065181, -0.396007, -0.485274, 0.211651, -0.187076, -0.523760, 0.317174, 0.000000, 0.000000], [0.252288, 0.246590, 0.762469, -0.194625, 0.078409, -0.140212, -0.307644, 0.368585, 0.000000, 0.000000], [0.609648, 0.244275, -0.439586, -0.080750, -0.398160, 0.223530, -0.074540, 0.393509, 0.000000, 0.000000], [-0.344211, 0.479657, -0.110540, 0.496718, -0.047562, -0.401962, 0.203505, 0.432723, 0.000000, 0.000000], [-0.117923, -0.064476, 0.022102, 0.352524, 0.453450, 0.719392, -0.110906, 0.348904, 0.000000, 0.000000]]
fourier: [[2.778513, 2.931649, 3.714939, 3.744143, 4.453198], [10.354005, 11.161977, 13.867757, 14.185942, 48.079702], [8.591796, 9.530312, 9.889975, 11.321840, 87.015766], [9.741025, 10.419125, 12.969281, 13.186208, 63.773213], [6.413015, 6.990066, 8.569837, 8.741259, 30.147002], [15.280294, 16.326891, 20.629886, 20.652397, 99.557014], [9.041077, 9.536539, 11.062936, 12.089353, 71.934487], [2.960734, 3.170137, 4.002970, 4.011442, 23.940262]]
### 12
mean: [-0.521068]
std: [0.767848]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.684652, 11.381109, 14.166250, 14.522309, 46.896113]]
## 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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.529034,
-0.721372,
0.123749,
0.138576,
0.003219
],
[
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-0.08196,
-0.662729,
0.438198
],
[
-0.169442,
-0.608155,
0.322939,
0.638521,
0.040184
],
[
0.10288,
0.603199,
-0.568642,
0.112531,
-0.293484
],
[
-0.365676,
0.00349,
-0.120348,
-0.069949,
0.047687
],
[
0.153164,
-0.276515,
0.445256,
0.480111,
0.275958
],
[
-0.061017,
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0.088081,
-0.345949,
0.173423
],
[
0.02649,
-0.184276,
-0.036878,
-0.102643,
-0.321544
]
],
"network.0.bias": [
-0.481848,
0.591262,
-0.269767,
0.287211,
-0.382299,
0.379616,
-0.29749,
-0.25375
],
"network.2.weight": [
[
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0.302474,
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0.241425,
0.02042,
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[
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0.108764,
-0.10707,
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0.121494,
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[
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[
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-0.109825,
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-0.242025,
0.167036,
-0.07639
],
[
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-0.429148,
0.002349,
0.677467,
-0.094435,
-0.171071,
-0.042754,
0.346972
],
[
0.169693,
0.081779,
0.638352,
-0.033368,
-0.030413,
0.361368,
0.075104,
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],
[
0.002073,
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0.386722,
0.110491,
0.179087,
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## Activation Signature
### 0
mean: [-0.578356, -0.923405, 0.504596, 0.205925, -1.173584, 2.366358, -1.074325, -1.250296]
std: [1.365193, 2.254968, 1.575982, 1.630220, 0.832859, 1.513468, 0.943714, 0.782122]
pca: [[0.382780, 0.172376, -0.275970, 0.614922, 0.038015, -0.230624, -0.347348, 0.440674, 0.000000, 0.000000], [0.743787, -0.309865, -0.121108, -0.020696, -0.407738, 0.027599, 0.237108, -0.335316, 0.000000, 0.000000], [0.011819, 0.622295, 0.380793, 0.350950, -0.328416, 0.385525, -0.026102, -0.295418, 0.000000, 0.000000], [-0.456862, -0.306984, -0.376319, 0.354107, -0.491650, 0.299563, 0.253081, 0.185800, 0.000000, 0.000000], [-0.057563, -0.057816, 0.567795, -0.025033, -0.458278, -0.540172, 0.185526, 0.366199, 0.000000, 0.000000], [0.088837, 0.591074, -0.399823, -0.281222, -0.020834, -0.100936, 0.579524, 0.239426, 0.000000, 0.000000], [0.280243, -0.115222, 0.275322, -0.210907, 0.080201, 0.636816, 0.022823, 0.612712, 0.000000, 0.000000], [0.040689, -0.163681, 0.253974, 0.498689, 0.515600, -0.013211, 0.622582, -0.068805, 0.000000, 0.000000]]
fourier: [[21.536182, 25.620503, 28.403321, 28.898080, 52.052082], [32.839229, 33.171807, 33.674901, 39.158418, 83.106458], [20.661568, 26.818879, 27.284310, 35.485030, 45.413642], [21.099989, 30.571905, 31.578963, 32.599291, 40.725293], [14.881279, 15.356282, 16.043027, 16.323546, 105.622555], [23.880515, 24.947509, 24.992699, 29.130377, 212.972260], [14.582266, 14.994813, 18.551718, 18.714700, 96.689281], [12.632460, 13.395759, 14.439667, 16.097425, 112.526591]]
### 2
mean: [0.534931, -0.910615, -0.240497, -1.329214, -0.344223, 2.116191, 2.077014, -1.676922]
std: [0.562974, 0.405268, 1.114719, 0.743768, 1.133497, 1.218185, 1.291806, 0.826882]
pca: [[-0.108351, -0.235420, 0.533462, -0.243825, 0.188708, 0.088817, 0.523844, -0.520475, 0.000000, 0.000000], [-0.134622, -0.169425, -0.204040, 0.120454, -0.221231, 0.623951, 0.540004, 0.408862, 0.000000, 0.000000], [-0.437937, 0.234817, 0.519205, 0.051415, 0.101759, -0.324752, 0.117399, 0.592667, 0.000000, 0.000000], [-0.275860, 0.152193, -0.442233, -0.311076, -0.403567, -0.508314, 0.409311, -0.140053, 0.000000, 0.000000], [-0.312236, 0.705671, 0.096469, 0.287555, -0.214521, 0.338218, -0.072661, -0.383215, 0.000000, 0.000000], [0.525262, 0.102398, 0.097408, 0.649537, -0.095153, -0.319894, 0.411875, -0.034658, 0.000000, 0.000000], [0.469134, 0.573401, -0.059048, -0.482293, 0.334693, 0.131816, 0.228769, 0.182487, 0.000000, 0.000000], [-0.329806, 0.018038, -0.431695, 0.299060, 0.758375, -0.069646, 0.159402, -0.098555, 0.000000, 0.000000]]
fourier: [[7.669345, 7.769292, 8.653814, 9.356672, 48.143800], [5.731552, 6.306161, 6.920777, 7.105879, 81.955340], [18.634316, 21.281703, 21.644765, 21.648332, 24.940184], [12.241771, 12.472491, 13.420680, 13.776848, 119.629227], [18.149741, 18.202693, 21.805441, 21.984210, 30.980093], [19.787713, 20.505040, 23.384905, 24.822841, 190.457240], [18.637929, 20.740922, 20.949611, 21.463268, 186.931277], [13.585522, 13.933088, 13.984210, 14.338064, 150.922985]]
### 4
mean: [-0.321836, -0.880011, -1.384473, 1.273037, -0.955670, 1.748217, -1.339458, -1.098886]
std: [0.130466, 0.369708, 0.861663, 1.476200, 0.438181, 0.726453, 0.712843, 0.431273]
pca: [[-0.016305, -0.116623, -0.172110, 0.928123, 0.034613, -0.274201, 0.002952, -0.136773, 0.000000, 0.000000], [-0.189570, -0.078159, -0.244850, -0.085745, 0.512807, 0.195915, 0.633318, -0.433827, 0.000000, 0.000000], [-0.436790, -0.235981, 0.403737, -0.181378, -0.242624, -0.552979, 0.039490, -0.437509, 0.000000, 0.000000], [0.767171, -0.210242, 0.474568, 0.006934, 0.248362, -0.061331, 0.016811, -0.276147, 0.000000, 0.000000], [-0.146210, -0.365020, 0.441614, 0.160355, -0.052538, 0.134884, 0.507475, 0.588355, 0.000000, 0.000000], [-0.144827, 0.731977, 0.507509, 0.239519, -0.059177, 0.277841, 0.107556, -0.189829, 0.000000, 0.000000], [-0.366368, -0.151782, 0.261665, 0.047573, 0.679722, 0.112059, -0.535659, 0.102449, 0.000000, 0.000000], [-0.088788, -0.433975, 0.033946, 0.113772, -0.383402, 0.684790, -0.202555, -0.364312, 0.000000, 0.000000]]
fourier: [[1.862977, 1.923253, 2.277460, 2.300145, 28.965233], [5.874178, 6.153236, 7.030210, 7.245110, 79.201035], [13.927584, 14.696514, 15.122258, 15.274987, 124.602598], [21.054003, 21.304147, 26.298296, 32.757128, 114.573312], [5.910749, 6.382254, 7.181339, 8.411130, 86.010312], [10.668137, 10.934484, 11.739828, 15.577641, 157.339513], [10.995108, 11.976094, 12.749631, 13.238576, 120.551185], [6.168807, 6.177377, 6.521596, 8.184455, 98.899778]]
### 6
mean: [0.508352, 0.950279, 0.216646, -0.922435, -0.721231, -0.539608, -0.366376, 0.610938]
std: [0.391197, 0.709242, 0.539631, 0.292650, 0.233372, 0.213839, 0.532888, 0.881560]
pca: [[-0.230763, -0.439710, 0.498904, 0.092864, 0.662464, 0.191234, -0.087122, -0.113384, 0.000000, 0.000000], [0.505905, -0.170994, -0.140537, 0.709947, 0.017379, 0.087336, 0.250415, -0.346999, 0.000000, 0.000000], [0.383332, -0.161486, 0.210542, -0.458894, 0.069733, -0.059967, 0.738396, 0.135572, 0.000000, 0.000000], [0.043181, 0.563525, 0.574447, -0.040943, -0.090097, -0.148206, 0.011707, -0.564526, 0.000000, 0.000000], [-0.119189, 0.323060, 0.270507, 0.489219, 0.133552, -0.342783, 0.204038, 0.626059, 0.000000, 0.000000], [0.032496, 0.411216, -0.501125, -0.127745, 0.710341, -0.160878, 0.085248, -0.157060, 0.000000, 0.000000], [0.357506, 0.376115, 0.115462, -0.034229, 0.101016, 0.767656, -0.160141, 0.301792, 0.000000, 0.000000], [0.631608, -0.137291, 0.139266, -0.135150, 0.123432, -0.444480, -0.556590, 0.148229, 0.000000, 0.000000]]
fourier: [[5.326662, 6.415520, 7.578917, 8.271671, 45.751690], [9.712717, 9.867189, 12.555832, 14.454817, 85.525137], [7.465707, 7.526078, 9.620076, 10.892342, 19.498099], [4.392307, 4.683414, 4.691668, 5.483218, 83.019160], [3.494542, 3.767499, 4.103710, 4.796524, 64.910759], [3.208388, 3.409886, 3.422663, 4.021189, 48.564680], [7.590659, 8.213092, 10.320810, 11.158220, 32.973871], [11.728506, 12.351448, 15.428487, 18.190402, 54.984394]]
### 8
mean: [0.899856, 0.213484, 0.797773, -0.340447, 0.564697, 0.580130, -0.635284, 0.274543]
std: [0.998908, 0.398888, 0.923810, 0.049729, 0.258997, 0.625693, 0.156436, 0.267142]
pca: [[0.629745, -0.090392, -0.016615, 0.101433, 0.239791, 0.677620, 0.051748, -0.255616, 0.000000, 0.000000], [0.243080, 0.453772, 0.049941, 0.630228, 0.326748, -0.416644, 0.224588, -0.067270, 0.000000, 0.000000], [0.581943, 0.171812, 0.030727, -0.424973, 0.026210, -0.393741, -0.537627, 0.074272, 0.000000, 0.000000], [-0.010980, 0.050877, 0.864861, 0.240034, -0.335218, 0.124923, -0.249260, -0.039771, 0.000000, 0.000000], [-0.116792, 0.824928, 0.008099, -0.299638, -0.059146, 0.366179, 0.137188, 0.244129, 0.000000, 0.000000], [0.393845, -0.163863, -0.087068, 0.163396, -0.471977, -0.017220, 0.322754, 0.675667, 0.000000, 0.000000], [-0.093638, -0.205039, 0.348495, -0.130346, 0.704064, 0.046654, 0.033361, 0.558351, 0.000000, 0.000000], [0.167432, -0.066436, 0.345261, -0.469930, -0.026647, -0.245034, 0.686736, -0.308474, 0.000000, 0.000000]]
fourier: [[13.665365, 14.773018, 18.201960, 19.752528, 80.987003], [5.830349, 6.240824, 6.930761, 7.690550, 19.213535], [12.741819, 13.580145, 17.267752, 17.931010, 71.799598], [0.883161, 0.909918, 0.981565, 1.018856, 30.640231], [3.574087, 4.184378, 4.735840, 5.634073, 50.822765], [8.487922, 9.224429, 11.213927, 12.432831, 52.211724], [2.358099, 2.700984, 2.775608, 2.893841, 57.175552], [3.677154, 4.103068, 5.003156, 5.194287, 24.708834]]
### 10
mean: [-0.049480, 0.534219, -0.966842, -0.708591, 0.334967, 1.106189, -0.799272, -0.266003]
std: [0.199089, 0.749557, 0.582652, 0.698674, 0.458533, 1.104778, 0.626518, 0.213801]
pca: [[0.109874, 0.008674, -0.043968, -0.460604, 0.422063, -0.037836, 0.723371, 0.266324, 0.000000, 0.000000], [0.413026, 0.357814, -0.228420, 0.168833, 0.625206, -0.228206, -0.217067, -0.361413, 0.000000, 0.000000], [-0.317662, 0.716198, 0.042041, -0.329314, -0.116724, 0.403448, 0.037088, -0.313313, 0.000000, 0.000000], [-0.385643, -0.065181, -0.396007, -0.485274, 0.211651, -0.187076, -0.523760, 0.317174, 0.000000, 0.000000], [0.252288, 0.246590, 0.762469, -0.194625, 0.078409, -0.140212, -0.307644, 0.368585, 0.000000, 0.000000], [0.609648, 0.244275, -0.439586, -0.080750, -0.398160, 0.223530, -0.074540, 0.393509, 0.000000, 0.000000], [-0.344211, 0.479657, -0.110540, 0.496718, -0.047562, -0.401962, 0.203505, 0.432723, 0.000000, 0.000000], [-0.117923, -0.064476, 0.022102, 0.352524, 0.453450, 0.719392, -0.110906, 0.348904, 0.000000, 0.000000]]
fourier: [[2.778513, 2.931649, 3.714939, 3.744143, 4.453198], [10.354005, 11.161977, 13.867757, 14.185942, 48.079702], [8.591796, 9.530312, 9.889975, 11.321840, 87.015766], [9.741025, 10.419125, 12.969281, 13.186208, 63.773213], [6.413015, 6.990066, 8.569837, 8.741259, 30.147002], [15.280294, 16.326891, 20.629886, 20.652397, 99.557014], [9.041077, 9.536539, 11.062936, 12.089353, 71.934487], [2.960734, 3.170137, 4.002970, 4.011442, 23.940262]]
### 12
mean: [-0.521068]
std: [0.767848]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.684652, 11.381109, 14.166250, 14.522309, 46.896113]]
## 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": 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": [[0.529034, -0.721372, 0.123749, 0.138576, 0.003219], [0.494625, -0.591725, -0.08196, -0.662729, 0.438198], [-0.169442, -0.608155, 0.322939, 0.638521, 0.040184], [0.10288, 0.603199, -0.568642, 0.112531, -0.293484], [-0.365676, 0.00349, -0.120348, -0.069949, 0.047687], [0.153164, -0.276515, 0.445256, 0.480111, 0.275958], [-0.061017, -0.195868, 0.088081, -0.345949, 0.173423], [0.02649, -0.184276, -0.036878, -0.102643, -0.321544]], "network.0.bias": [-0.481848, 0.591262, -0.269767, 0.287211, -0.382299, 0.379616, -0.29749, -0.25375], "network.2.weight": [[0.187938, 0.302474, -0.248814, 0.241425, 0.02042, 0.027678, -0.023658, 0.306176], [-0.050821, 0.108764, -0.10707, -0.188134, 0.121494, -0.200353, -0.266145, 0.219989], [-0.186942, -0.020481, -0.309752, 0.693286, -0.09111, -0.231885, 0.100573, -0.002205], [-0.344158, -0.297228, -0.247969, -0.109825, -0.052858, -0.242025, 0.167036, -0.07639], [-0.466959, -0.429148, 0.002349, 0.677467, -0.094435, -0.171071, -0.042754, 0.346972], [0.169693, 0.081779, 0.638352, -0.033368, -0.030413, 0.361368, 0.075104, -0.001997], [0.002073, -0.542787, 0.386722, 0.110491, 0.179087, 0.565316, 0.223845, 0.293518], [-0.078412, -0.212098, -0.158103, -0.148195, -0.236671, -0.443005, -0.058273, -0.066626]], "network.2.bias": [0.334992, -0.234204, 0.141839, -0.246535, -0.109558, 0.640357, 0.554267, -0.267256], "network.4.weight": [[-0.304526, 0.261872, 0.07172, 0.140125, -0.074853, 0.017129, -0.118788, 0.197606], [0.061449, 0.100164, -0.070137, 0.087087, 0.06428, -0.200948, -0.099485, -0.138301], [0.105486, -0.33559, -2e-06, 0.335213, -0.120785, -0.317654, -0.379979, -0.355356], [-0.599934, 0.316489, -0.370511, -0.326268, -0.310265, 0.436409, 0.478535, -0.159], [-0.242397, 0.127383, -0.133067, -0.183065, -0.25629, -0.160031, -0.225725, -0.086101], [0.600031, 0.055436, 0.598095, 0.187207, 0.468198, 0.392553, -0.187089, -0.110234], [0.06996, -0.297361, -0.025843, -0.194222, 0.028399, -0.227894, -0.34236, -0.450581], [-0.31522, -0.057486, -0.196531, 0.284065, -0.31792, -0.243541, -0.106678, 0.026251]], "network.4.bias": [0.05851, -0.276448, 0.046887, -0.100022, 0.099269, 0.646829, -0.18486, -0.036274], "network.6.weight": [[0.014238, -0.116849, -0.398232, -0.1174, 0.031817, 0.420168, -0.387293, -0.203533], [0.268884, -0.22766, 0.210822, 0.513082, -0.160342, -0.084037, -0.035193, 0.212637], [-0.26722, 0.102997, 0.288076, 0.395962, -0.325168, -0.040132, 0.042408, -0.075155], [0.035791, 0.078779, 0.055945, -0.086452, -0.231333, -0.433566, 0.068864, 0.138042], [-0.051869, -0.009203, -0.127863, -0.184587, 0.335552, -0.188762, 0.027245, 0.147879], [-0.131391, 0.321699, -0.181323, -0.062162, -0.352206, -0.316792, -0.010442, -0.195204], [0.02498, -0.118283, -0.361169, 0.250618, -0.071144, -0.425911, -0.531843, -0.452647], [0.229201, -0.034403, 0.219183, 0.623403, -0.103651, -0.161111, -0.173169, -0.105875]], "network.6.bias": [-0.063832, 0.387621, -0.260794, -0.044908, -0.135957, 0.100181, 0.031614, 0.030454], "network.8.weight": [[-0.451877, 0.335974, 0.29012, -0.05021, 0.311726, 0.033901, 0.193063, 0.61622], [0.204903, 0.054861, 0.269035, -0.222775, 0.130234, -0.287097, -0.375289, 0.429759], [-0.239817, 0.471246, 0.435841, -0.065709, -0.009765, -0.29219, 0.541755, 0.349433], [-0.077968, -0.539428, 0.229517, 0.020703, 0.033034, -0.218562, -0.11957, 0.327184], [0.696776, 0.182746, 0.314106, -0.11232, 0.296647, 0.28784, 0.113126, -0.321696], [-0.347592, 0.165297, -0.111942, 0.179573, -0.292095, -0.168724, 0.263, 0.541159], [-0.159784, -0.206463, 0.282067, 0.16004, -0.07951, -0.262469, -0.209881, -0.18978], [-0.217085, 0.025723, 0.291076, 0.141275, 0.083895, -0.004052, 0.352621, 0.024375]], "network.8.bias": [0.266345, -0.310279, 0.04414, -0.087294, 0.15144, 0.237938, -0.30397, 0.222748], "network.10.weight": [[-0.058728, 0.10487, 0.217993, 0.365417, -0.059963, 0.139008, 0.119882, -0.271166], [0.209437, 0.276364, 0.176391, -0.007596, -0.240199, 0.399432, -0.113724, 0.059864], [-0.382696, -0.143383, 0.043543, -0.160544, -0.540474, -0.507158, -0.197326, 0.043669], [-0.393231, -0.416683, -0.033018, 0.03387, 0.069208, -0.093116, 0.324462, -0.31332], [-0.044155, 0.637094, 0.222985, -0.050193, -0.333007, 0.057058, -0.04944, -0.052483], [0.320125, 0.065176, 0.532074, -0.103041, -0.126878, 0.372299, 0.171347, 0.219113], [-0.175376, -0.217414, -0.348081, -0.234506, -0.267242, -0.316873, 0.262978, 0.292271], [0.223977, -0.039709, -0.324002, -0.25866, 0.07757, -0.210457, 0.057699, 0.056003]], "network.10.bias": [-0.176125, -0.004885, -0.00513, -0.095834, 0.191058, 0.13357, -0.029074, -0.130069], "network.12.weight": [[-0.07211, -0.279703, -0.175957, -0.07089, -0.088814, -0.478519, 0.280442, -0.034503]], "network.12.bias": [0.212023]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6927119791507721, "train_acc": 0.47, "val_loss": 0.7419813275337219, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6940101981163025, "train_acc": 0.58, "val_loss": 0.7178508639335632, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6726402938365936, "train_acc": 0.58, "val_loss": 0.6705964803695679, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6338329017162323, "train_acc": 0.55, "val_loss": 0.5082798600196838, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4353879243135452, "train_acc": 0.895, "val_loss": 0.9006931781768799, "val_acc": 0.48}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5660632103681564, "train_acc": 0.69, "val_loss": 0.46111592650413513, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4898685961961746, "train_acc": 0.815, "val_loss": 0.5844181180000305, "val_acc": 0.7}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5713410377502441, "train_acc": 0.67, "val_loss": 0.5875965356826782, "val_acc": 0.7}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.565649539232254, "train_acc": 0.685, "val_loss": 0.5157543420791626, "val_acc": 0.76}], "summary": {"total_epochs": 9, "degraded_epochs": 3, "improved_epochs": 6, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7419813275337219, "final_val_loss": 0.6705964803695679, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5082798600196838, "final_val_loss": 0.5157543420791626, "initial_val_acc": 0.88, "final_val_acc": 0.76, "best_val_acc": 0.88, "best_epoch": 3}, "improvement": 0.4, "first_improvement_epoch": 2}}
|
9,628
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.54, "improved_accuracy": 0.9, "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": 4600, "learning_rate": 0.04751311883721165, "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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.344955,
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-0.042137,
0.27672,
0.076985
],
[
0.147605,
0.237694,
0.033566,
-0.574801,
-0.002054,
-0.079535,
-0.293368,
0.47359
],
[
0.082139,
0.341355,
-0.54423,
-0.278443,
-0.463542,
0.306831,
0.38198,
0.34064
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0.000518,
0.114198,
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0.085379
]
],
"network.6.bias": [
0.058286,
-0.177769,
-0.440974,
-0.396464,
-0.121092,
-0.079488,
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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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0.104574,
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[
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0.579696,
0.306391,
0.24483,
0.133529,
0.064948,
0.724821
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[
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[
0.11657,
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[
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[
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0.30876,
0.665243,
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0.178188
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[
0.083006,
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[
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[
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"network.12.bias": [
0.273607
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}
## Activation Signature
### 0
mean: [1.039594, -0.838317, 0.951562, 1.110441, 0.502360, 1.410902, 1.828636, -0.272741]
std: [1.181590, 1.181376, 1.888678, 1.743925, 1.450815, 2.165083, 1.249726, 1.301389]
pca: [[0.250653, -0.334735, -0.069409, 0.453453, 0.096584, 0.682321, -0.039201, -0.371835, 0.000000, 0.000000], [-0.146848, 0.368847, 0.022799, 0.798196, 0.284756, -0.310586, 0.163029, 0.024958, 0.000000, 0.000000], [0.480958, -0.357694, 0.306244, 0.109828, 0.211111, -0.041342, 0.108732, 0.690498, 0.000000, 0.000000], [0.361311, 0.565091, -0.122755, -0.281043, 0.606595, 0.221088, -0.198076, -0.000823, 0.000000, 0.000000], [0.348040, 0.377239, 0.077064, -0.056667, -0.390015, 0.168147, 0.737257, -0.058956, 0.000000, 0.000000], [0.594213, 0.114102, -0.234744, 0.195559, -0.451319, -0.327988, -0.470420, -0.089353, 0.000000, 0.000000], [0.264800, -0.379137, -0.208575, -0.151915, 0.375580, -0.489190, 0.352286, -0.463769, 0.000000, 0.000000], [0.096963, 0.074558, 0.883890, -0.041035, 0.014110, -0.110584, -0.178549, -0.397223, 0.000000, 0.000000]]
fourier: [[20.958165, 22.006138, 23.168405, 26.294760, 93.563476], [17.268293, 17.475750, 17.797054, 22.225661, 75.448520], [31.287363, 32.737947, 35.292282, 40.216769, 85.640556], [27.779780, 28.567908, 30.455612, 30.570400, 99.939691], [21.766497, 22.278049, 23.480297, 23.553441, 45.212373], [32.690831, 34.184798, 36.646396, 41.443642, 126.981219], [21.329674, 21.428163, 22.597906, 25.168093, 164.577243], [20.289195, 23.278750, 23.934156, 24.546727, 27.412910]]
### 2
mean: [1.865771, -1.971754, 1.280034, 1.251234, 1.829365, 3.049600, 0.675416, 0.690699]
std: [2.440153, 2.119925, 1.772833, 1.687876, 2.237121, 3.237764, 0.975616, 1.148111]
pca: [[0.419820, 0.348693, -0.289048, -0.253890, -0.012780, 0.089894, 0.557286, -0.485123, 0.000000, 0.000000], [-0.357038, 0.580994, 0.390214, 0.248039, 0.285787, -0.278772, -0.072117, -0.395715, 0.000000, 0.000000], [0.300453, -0.274724, 0.655387, -0.210054, -0.453119, -0.234927, -0.054064, -0.311720, 0.000000, 0.000000], [0.289254, -0.030416, -0.195421, 0.751140, -0.274480, 0.219614, -0.285629, -0.328410, 0.000000, 0.000000], [0.385318, -0.158693, 0.460871, 0.263444, 0.574636, 0.324021, 0.280890, 0.174490, 0.000000, 0.000000], [0.561407, 0.108324, -0.186409, -0.134090, 0.358280, -0.496474, -0.488623, 0.082197, 0.000000, 0.000000], [0.162380, 0.293774, 0.052806, 0.350912, -0.349218, -0.432221, 0.408305, 0.534715, 0.000000, 0.000000], [0.179778, 0.584157, 0.215695, -0.234863, -0.238710, 0.522008, -0.339647, 0.282701, 0.000000, 0.000000]]
fourier: [[37.160645, 38.928688, 39.357331, 46.793179, 167.919395], [33.560104, 35.274334, 36.949173, 40.463871, 177.457878], [28.408836, 28.470991, 28.998199, 36.444536, 115.203074], [25.472261, 28.899142, 28.983591, 30.466411, 112.611054], [35.183032, 36.201445, 37.411788, 44.786934, 164.642830], [49.974827, 51.024901, 51.940018, 62.737098, 274.464028], [15.424403, 15.582538, 17.744019, 18.411986, 60.787424], [17.027533, 17.251711, 22.935844, 23.114410, 62.162864]]
### 4
mean: [-5.919714, 4.045444, 1.849577, 4.179150, 4.891494, -0.872970, 2.332234, 0.646637]
std: [7.177549, 5.461195, 2.238183, 4.942650, 6.418449, 1.058434, 3.093401, 1.285797]
pca: [[0.560136, -0.071017, 0.182531, -0.114814, 0.569425, 0.415519, -0.370927, -0.014725, 0.000000, 0.000000], [-0.426025, -0.218979, 0.657307, -0.437860, -0.117392, 0.354626, 0.076128, -0.037975, 0.000000, 0.000000], [-0.174170, 0.620032, 0.133653, 0.331098, -0.158844, 0.385931, -0.248653, 0.470885, 0.000000, 0.000000], [-0.385638, 0.363651, 0.183101, 0.028953, 0.729555, -0.344783, 0.165978, -0.077472, 0.000000, 0.000000], [-0.500861, -0.107166, -0.411146, 0.117722, 0.090605, 0.316861, -0.461374, -0.482988, 0.000000, 0.000000], [0.082194, 0.273822, -0.320775, -0.147579, 0.072183, 0.537477, 0.680064, -0.192382, 0.000000, 0.000000], [-0.241214, -0.278603, -0.438612, -0.368770, 0.237764, 0.052038, -0.016710, 0.690149, 0.000000, 0.000000], [-0.099484, -0.515985, 0.137560, 0.716242, 0.185850, 0.204391, 0.302668, 0.154959, 0.000000, 0.000000]]
fourier: [[109.837592, 116.859254, 117.760917, 139.558916, 532.774293], [84.068841, 88.324429, 88.877896, 107.146236, 364.089907], [35.640283, 36.337909, 36.568295, 42.130228, 166.461909], [75.437018, 81.110975, 81.341827, 95.264045, 376.123496], [98.593977, 105.036118, 105.456005, 124.822772, 440.234442], [17.116271, 17.589899, 17.842545, 20.688579, 78.567295], [47.817687, 50.526863, 50.921987, 60.867720, 209.901083], [20.243042, 21.891168, 22.212891, 25.448718, 58.197370]]
### 6
mean: [-3.869766, 8.793984, -2.765280, 4.280876, -1.830884, -1.983599, 3.890676, -2.069273]
std: [4.953865, 11.613072, 2.927991, 6.156513, 1.847584, 2.149798, 5.622068, 1.937880]
pca: [[-0.313816, 0.075967, 0.236695, 0.078677, -0.277420, -0.311544, 0.366959, 0.724468, 0.000000, 0.000000], [0.735665, 0.288236, -0.218808, -0.078854, -0.112751, 0.315116, 0.005988, 0.457795, 0.000000, 0.000000], [-0.185460, 0.155821, -0.087171, -0.136541, -0.071928, 0.514284, 0.764476, -0.246975, 0.000000, 0.000000], [0.389989, 0.121505, 0.263575, 0.720785, -0.028958, -0.258610, 0.307419, -0.286215, 0.000000, 0.000000], [-0.116633, 0.469226, 0.724105, -0.015582, 0.181475, 0.369899, -0.266559, 0.028970, 0.000000, 0.000000], [-0.135625, 0.682797, -0.242263, -0.115094, -0.509496, -0.286316, -0.164045, -0.273829, 0.000000, 0.000000], [0.356134, -0.018604, 0.358761, -0.657870, 0.114233, -0.443985, 0.267401, -0.172179, 0.000000, 0.000000], [-0.122483, 0.430551, -0.327566, 0.055992, 0.773786, -0.237383, 0.130028, 0.131098, 0.000000, 0.000000]]
fourier: [[75.977986, 80.693757, 81.734344, 96.725596, 348.278947], [180.995527, 188.950870, 192.508882, 226.738147, 791.458583], [44.755743, 47.785757, 48.441731, 56.854263, 248.875196], [96.077053, 99.900409, 102.158750, 120.075503, 385.278840], [28.146497, 29.504555, 30.847146, 35.894488, 164.779547], [32.762935, 34.500062, 35.358602, 40.735619, 178.523917], [87.652783, 91.979482, 93.393938, 108.901822, 350.160877], [29.821224, 31.589828, 32.335387, 36.545717, 186.234527]]
### 8
mean: [-2.268360, 6.492114, 0.295831, -1.418553, -2.730161, 6.056279, 2.415964, 0.063652]
std: [2.461574, 9.068763, 0.095287, 2.273075, 3.856366, 8.215446, 3.020028, 1.476191]
pca: [[-0.179750, 0.670064, 0.371521, 0.269981, -0.375866, -0.247433, 0.212972, 0.244807, 0.000000, 0.000000], [0.662970, 0.311197, 0.266828, 0.021167, 0.394934, -0.233209, -0.422612, -0.054969, 0.000000, 0.000000], [0.003204, -0.475172, 0.330214, -0.044040, -0.350173, -0.150087, -0.455497, 0.557311, 0.000000, 0.000000], [-0.166162, -0.108445, 0.156295, 0.564604, 0.589966, 0.293134, 0.122631, 0.410365, 0.000000, 0.000000], [-0.281903, 0.098709, 0.644262, -0.493733, 0.154320, 0.440998, -0.064299, -0.171794, 0.000000, 0.000000], [0.600599, -0.044087, 0.049768, -0.243055, -0.150177, 0.324841, 0.562177, 0.362858, 0.000000, 0.000000], [0.220726, -0.355004, 0.422394, 0.496214, -0.275436, 0.065577, 0.153674, -0.544817, 0.000000, 0.000000], [0.107852, 0.280903, -0.247665, 0.238473, -0.331418, 0.686758, -0.457966, 0.006880, 0.000000, 0.000000]]
fourier: [[38.384575, 39.047999, 40.408547, 48.488430, 204.152372], [143.578413, 148.299695, 152.109161, 176.191558, 584.290249], [1.392894, 1.440475, 1.524044, 1.645941, 26.624756], [35.851021, 37.220832, 38.115443, 44.334913, 127.669822], [60.147139, 62.458755, 64.164294, 75.663286, 245.714484], [129.552252, 133.931640, 137.398772, 159.935097, 545.065189], [47.493714, 48.944039, 50.140333, 58.681087, 217.436734], [22.567038, 23.154507, 24.419668, 24.824104, 28.749943]]
### 10
mean: [0.864438, 6.461220, -0.794319, 4.671533, -0.104991, 6.927646, -0.308828, 1.379686]
std: [1.083062, 9.077179, 1.048326, 7.122895, 0.270811, 10.168945, 0.268789, 1.534788]
pca: [[0.069724, -0.040162, 0.151547, 0.018100, 0.074282, 0.880610, 0.340320, -0.270966, 0.000000, 0.000000], [0.584389, -0.394507, -0.119093, 0.306788, -0.368344, 0.062190, 0.168840, 0.475920, 0.000000, 0.000000], [-0.067255, -0.309835, 0.419853, -0.148681, 0.479248, 0.197785, -0.407229, 0.516201, 0.000000, 0.000000], [0.458435, 0.721359, 0.368022, 0.225264, -0.032086, 0.053551, -0.277558, 0.048561, 0.000000, 0.000000], [-0.017082, -0.151015, -0.412501, 0.635054, 0.255322, 0.143727, -0.499632, -0.260718, 0.000000, 0.000000], [0.654715, -0.128990, -0.231747, -0.483223, 0.385803, -0.109434, -0.074666, -0.317969, 0.000000, 0.000000], [-0.016518, 0.291377, -0.267519, 0.231140, 0.614170, -0.096137, 0.533592, 0.344481, 0.000000, 0.000000], [0.098618, -0.319454, 0.596409, 0.377466, 0.191985, -0.369860, 0.269951, -0.378828, 0.000000, 0.000000]]
fourier: [[17.217440, 17.642646, 18.170462, 21.010005, 77.799403], [144.380331, 148.928264, 152.607287, 176.024871, 581.509737], [17.912822, 18.277158, 18.306418, 19.250235, 71.488742], [117.342093, 117.876828, 121.178050, 135.340059, 420.437929], [4.416617, 4.567851, 4.720731, 4.743839, 9.449169], [163.069553, 167.243140, 171.587647, 196.242938, 623.488148], [3.841175, 4.321291, 4.612829, 5.794323, 27.794522], [23.912567, 24.447900, 25.056574, 30.494976, 124.171692]]
### 12
mean: [-7.671054]
std: [11.248181]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[183.897060, 186.984353, 191.532559, 214.920872, 690.394779]]
## 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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.059502,
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],
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[
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0.300873,
-0.422088
],
[
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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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0.124801,
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0.312102,
0.668331,
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[
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[
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0.643784,
0.033055,
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[
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0.016544,
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0.361207,
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],
"network.2.bias": [
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"network.4.weight": [
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0.287958,
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-0.332142,
0.226258,
0.382602,
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0.165234,
0.225156,
-0.016089
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0.593852,
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0.541154,
0.262316,
0.559849,
0.029696,
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[
0.678851,
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-0.283642,
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0.134486,
0.175648,
-0.296721
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[
0.264197,
0.385603,
0.069984,
0.043492,
0.595715,
0.283127,
0.030348,
-0.031828
],
[
-0.021684,
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0.417722,
0.008045,
0.148516,
-0.023757,
0.276392,
0.095339
]
],
"network.4.bias": [
-0.140957,
-0.284574,
0.105806,
0.252065,
-0.216685,
-0.156936,
-0.185715,
-0.297367
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"network.6.weight": [
[
-0.133126,
-0.081051,
-0.033197,
-0.362312,
-0.358643,
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],
[
0.000894,
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}
## Activation Signature
### 0
mean: [1.039594, -0.838317, 0.951562, 1.110441, 0.502360, 1.410902, 1.828636, -0.272741]
std: [1.181590, 1.181376, 1.888678, 1.743925, 1.450815, 2.165083, 1.249726, 1.301389]
pca: [[0.250653, -0.334735, -0.069409, 0.453453, 0.096584, 0.682321, -0.039201, -0.371835, 0.000000, 0.000000], [-0.146848, 0.368847, 0.022799, 0.798196, 0.284756, -0.310586, 0.163029, 0.024958, 0.000000, 0.000000], [0.480958, -0.357694, 0.306244, 0.109828, 0.211111, -0.041342, 0.108732, 0.690498, 0.000000, 0.000000], [0.361311, 0.565091, -0.122755, -0.281043, 0.606595, 0.221088, -0.198076, -0.000823, 0.000000, 0.000000], [0.348040, 0.377239, 0.077064, -0.056667, -0.390015, 0.168147, 0.737257, -0.058956, 0.000000, 0.000000], [0.594213, 0.114102, -0.234744, 0.195559, -0.451319, -0.327988, -0.470420, -0.089353, 0.000000, 0.000000], [0.264800, -0.379137, -0.208575, -0.151915, 0.375580, -0.489190, 0.352286, -0.463769, 0.000000, 0.000000], [0.096963, 0.074558, 0.883890, -0.041035, 0.014110, -0.110584, -0.178549, -0.397223, 0.000000, 0.000000]]
fourier: [[20.958165, 22.006138, 23.168405, 26.294760, 93.563476], [17.268293, 17.475750, 17.797054, 22.225661, 75.448520], [31.287363, 32.737947, 35.292282, 40.216769, 85.640556], [27.779780, 28.567908, 30.455612, 30.570400, 99.939691], [21.766497, 22.278049, 23.480297, 23.553441, 45.212373], [32.690831, 34.184798, 36.646396, 41.443642, 126.981219], [21.329674, 21.428163, 22.597906, 25.168093, 164.577243], [20.289195, 23.278750, 23.934156, 24.546727, 27.412910]]
### 2
mean: [1.865771, -1.971754, 1.280034, 1.251234, 1.829365, 3.049600, 0.675416, 0.690699]
std: [2.440153, 2.119925, 1.772833, 1.687876, 2.237121, 3.237764, 0.975616, 1.148111]
pca: [[0.419820, 0.348693, -0.289048, -0.253890, -0.012780, 0.089894, 0.557286, -0.485123, 0.000000, 0.000000], [-0.357038, 0.580994, 0.390214, 0.248039, 0.285787, -0.278772, -0.072117, -0.395715, 0.000000, 0.000000], [0.300453, -0.274724, 0.655387, -0.210054, -0.453119, -0.234927, -0.054064, -0.311720, 0.000000, 0.000000], [0.289254, -0.030416, -0.195421, 0.751140, -0.274480, 0.219614, -0.285629, -0.328410, 0.000000, 0.000000], [0.385318, -0.158693, 0.460871, 0.263444, 0.574636, 0.324021, 0.280890, 0.174490, 0.000000, 0.000000], [0.561407, 0.108324, -0.186409, -0.134090, 0.358280, -0.496474, -0.488623, 0.082197, 0.000000, 0.000000], [0.162380, 0.293774, 0.052806, 0.350912, -0.349218, -0.432221, 0.408305, 0.534715, 0.000000, 0.000000], [0.179778, 0.584157, 0.215695, -0.234863, -0.238710, 0.522008, -0.339647, 0.282701, 0.000000, 0.000000]]
fourier: [[37.160645, 38.928688, 39.357331, 46.793179, 167.919395], [33.560104, 35.274334, 36.949173, 40.463871, 177.457878], [28.408836, 28.470991, 28.998199, 36.444536, 115.203074], [25.472261, 28.899142, 28.983591, 30.466411, 112.611054], [35.183032, 36.201445, 37.411788, 44.786934, 164.642830], [49.974827, 51.024901, 51.940018, 62.737098, 274.464028], [15.424403, 15.582538, 17.744019, 18.411986, 60.787424], [17.027533, 17.251711, 22.935844, 23.114410, 62.162864]]
### 4
mean: [-5.919714, 4.045444, 1.849577, 4.179150, 4.891494, -0.872970, 2.332234, 0.646637]
std: [7.177549, 5.461195, 2.238183, 4.942650, 6.418449, 1.058434, 3.093401, 1.285797]
pca: [[0.560136, -0.071017, 0.182531, -0.114814, 0.569425, 0.415519, -0.370927, -0.014725, 0.000000, 0.000000], [-0.426025, -0.218979, 0.657307, -0.437860, -0.117392, 0.354626, 0.076128, -0.037975, 0.000000, 0.000000], [-0.174170, 0.620032, 0.133653, 0.331098, -0.158844, 0.385931, -0.248653, 0.470885, 0.000000, 0.000000], [-0.385638, 0.363651, 0.183101, 0.028953, 0.729555, -0.344783, 0.165978, -0.077472, 0.000000, 0.000000], [-0.500861, -0.107166, -0.411146, 0.117722, 0.090605, 0.316861, -0.461374, -0.482988, 0.000000, 0.000000], [0.082194, 0.273822, -0.320775, -0.147579, 0.072183, 0.537477, 0.680064, -0.192382, 0.000000, 0.000000], [-0.241214, -0.278603, -0.438612, -0.368770, 0.237764, 0.052038, -0.016710, 0.690149, 0.000000, 0.000000], [-0.099484, -0.515985, 0.137560, 0.716242, 0.185850, 0.204391, 0.302668, 0.154959, 0.000000, 0.000000]]
fourier: [[109.837592, 116.859254, 117.760917, 139.558916, 532.774293], [84.068841, 88.324429, 88.877896, 107.146236, 364.089907], [35.640283, 36.337909, 36.568295, 42.130228, 166.461909], [75.437018, 81.110975, 81.341827, 95.264045, 376.123496], [98.593977, 105.036118, 105.456005, 124.822772, 440.234442], [17.116271, 17.589899, 17.842545, 20.688579, 78.567295], [47.817687, 50.526863, 50.921987, 60.867720, 209.901083], [20.243042, 21.891168, 22.212891, 25.448718, 58.197370]]
### 6
mean: [-3.869766, 8.793984, -2.765280, 4.280876, -1.830884, -1.983599, 3.890676, -2.069273]
std: [4.953865, 11.613072, 2.927991, 6.156513, 1.847584, 2.149798, 5.622068, 1.937880]
pca: [[-0.313816, 0.075967, 0.236695, 0.078677, -0.277420, -0.311544, 0.366959, 0.724468, 0.000000, 0.000000], [0.735665, 0.288236, -0.218808, -0.078854, -0.112751, 0.315116, 0.005988, 0.457795, 0.000000, 0.000000], [-0.185460, 0.155821, -0.087171, -0.136541, -0.071928, 0.514284, 0.764476, -0.246975, 0.000000, 0.000000], [0.389989, 0.121505, 0.263575, 0.720785, -0.028958, -0.258610, 0.307419, -0.286215, 0.000000, 0.000000], [-0.116633, 0.469226, 0.724105, -0.015582, 0.181475, 0.369899, -0.266559, 0.028970, 0.000000, 0.000000], [-0.135625, 0.682797, -0.242263, -0.115094, -0.509496, -0.286316, -0.164045, -0.273829, 0.000000, 0.000000], [0.356134, -0.018604, 0.358761, -0.657870, 0.114233, -0.443985, 0.267401, -0.172179, 0.000000, 0.000000], [-0.122483, 0.430551, -0.327566, 0.055992, 0.773786, -0.237383, 0.130028, 0.131098, 0.000000, 0.000000]]
fourier: [[75.977986, 80.693757, 81.734344, 96.725596, 348.278947], [180.995527, 188.950870, 192.508882, 226.738147, 791.458583], [44.755743, 47.785757, 48.441731, 56.854263, 248.875196], [96.077053, 99.900409, 102.158750, 120.075503, 385.278840], [28.146497, 29.504555, 30.847146, 35.894488, 164.779547], [32.762935, 34.500062, 35.358602, 40.735619, 178.523917], [87.652783, 91.979482, 93.393938, 108.901822, 350.160877], [29.821224, 31.589828, 32.335387, 36.545717, 186.234527]]
### 8
mean: [-2.268360, 6.492114, 0.295831, -1.418553, -2.730161, 6.056279, 2.415964, 0.063652]
std: [2.461574, 9.068763, 0.095287, 2.273075, 3.856366, 8.215446, 3.020028, 1.476191]
pca: [[-0.179750, 0.670064, 0.371521, 0.269981, -0.375866, -0.247433, 0.212972, 0.244807, 0.000000, 0.000000], [0.662970, 0.311197, 0.266828, 0.021167, 0.394934, -0.233209, -0.422612, -0.054969, 0.000000, 0.000000], [0.003204, -0.475172, 0.330214, -0.044040, -0.350173, -0.150087, -0.455497, 0.557311, 0.000000, 0.000000], [-0.166162, -0.108445, 0.156295, 0.564604, 0.589966, 0.293134, 0.122631, 0.410365, 0.000000, 0.000000], [-0.281903, 0.098709, 0.644262, -0.493733, 0.154320, 0.440998, -0.064299, -0.171794, 0.000000, 0.000000], [0.600599, -0.044087, 0.049768, -0.243055, -0.150177, 0.324841, 0.562177, 0.362858, 0.000000, 0.000000], [0.220726, -0.355004, 0.422394, 0.496214, -0.275436, 0.065577, 0.153674, -0.544817, 0.000000, 0.000000], [0.107852, 0.280903, -0.247665, 0.238473, -0.331418, 0.686758, -0.457966, 0.006880, 0.000000, 0.000000]]
fourier: [[38.384575, 39.047999, 40.408547, 48.488430, 204.152372], [143.578413, 148.299695, 152.109161, 176.191558, 584.290249], [1.392894, 1.440475, 1.524044, 1.645941, 26.624756], [35.851021, 37.220832, 38.115443, 44.334913, 127.669822], [60.147139, 62.458755, 64.164294, 75.663286, 245.714484], [129.552252, 133.931640, 137.398772, 159.935097, 545.065189], [47.493714, 48.944039, 50.140333, 58.681087, 217.436734], [22.567038, 23.154507, 24.419668, 24.824104, 28.749943]]
### 10
mean: [0.864438, 6.461220, -0.794319, 4.671533, -0.104991, 6.927646, -0.308828, 1.379686]
std: [1.083062, 9.077179, 1.048326, 7.122895, 0.270811, 10.168945, 0.268789, 1.534788]
pca: [[0.069724, -0.040162, 0.151547, 0.018100, 0.074282, 0.880610, 0.340320, -0.270966, 0.000000, 0.000000], [0.584389, -0.394507, -0.119093, 0.306788, -0.368344, 0.062190, 0.168840, 0.475920, 0.000000, 0.000000], [-0.067255, -0.309835, 0.419853, -0.148681, 0.479248, 0.197785, -0.407229, 0.516201, 0.000000, 0.000000], [0.458435, 0.721359, 0.368022, 0.225264, -0.032086, 0.053551, -0.277558, 0.048561, 0.000000, 0.000000], [-0.017082, -0.151015, -0.412501, 0.635054, 0.255322, 0.143727, -0.499632, -0.260718, 0.000000, 0.000000], [0.654715, -0.128990, -0.231747, -0.483223, 0.385803, -0.109434, -0.074666, -0.317969, 0.000000, 0.000000], [-0.016518, 0.291377, -0.267519, 0.231140, 0.614170, -0.096137, 0.533592, 0.344481, 0.000000, 0.000000], [0.098618, -0.319454, 0.596409, 0.377466, 0.191985, -0.369860, 0.269951, -0.378828, 0.000000, 0.000000]]
fourier: [[17.217440, 17.642646, 18.170462, 21.010005, 77.799403], [144.380331, 148.928264, 152.607287, 176.024871, 581.509737], [17.912822, 18.277158, 18.306418, 19.250235, 71.488742], [117.342093, 117.876828, 121.178050, 135.340059, 420.437929], [4.416617, 4.567851, 4.720731, 4.743839, 9.449169], [163.069553, 167.243140, 171.587647, 196.242938, 623.488148], [3.841175, 4.321291, 4.612829, 5.794323, 27.794522], [23.912567, 24.447900, 25.056574, 30.494976, 124.171692]]
### 12
mean: [-7.671054]
std: [11.248181]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[183.897060, 186.984353, 191.532559, 214.920872, 690.394779]]
## 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": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.51279, -0.120445, 0.198514, 0.059502, 0.053853], [-0.39255, 0.055252, 0.188028, -0.487313, 0.091433], [0.842827, -0.216884, 0.342859, 0.300873, -0.422088], [0.043048, 0.7091, 0.255329, -0.214386, -0.535106], [0.344067, 0.36602, 0.021457, -0.209672, -0.520298], [0.797022, 0.476377, 0.077724, -0.193496, -0.382863], [0.450451, 0.051531, 0.147529, 0.288072, 0.03741], [0.20406, -0.48391, 0.228544, 0.175451, -0.657609]], "network.0.bias": [0.012242, 0.088986, -0.542903, 0.351082, 0.453727, 0.275771, 0.202108, 0.312513], "network.2.weight": [[-0.026364, -0.245539, 0.17013, 0.511794, 0.304301, 0.645668, 0.066659, 0.336375], [-0.027175, 0.17719, -0.302113, -0.283637, 0.298132, -0.621453, -0.361175, -0.074645], [0.061684, -0.326452, 0.434317, 0.058858, 0.548606, 0.17723, 0.109948, 0.475472], [0.218639, -0.016273, -0.000609, 0.001939, 0.452547, 0.490012, 0.067526, -0.010972], [0.358242, -0.196399, 0.124801, 0.149322, 0.312102, 0.668331, -0.085892, 0.725713], [0.074099, -0.005319, 0.438065, 0.545301, 0.412337, 0.756882, 0.07156, 0.305035], [0.130504, -0.202086, 0.097201, 0.084556, 0.643784, 0.033055, -0.101365, -0.027452], [-0.324748, -0.05605, 0.016544, 0.141905, 0.449429, 0.361207, -0.004227, 0.466878]], "network.2.bias": [-0.322412, 0.126037, -0.308429, -0.129125, -0.09924, 0.151612, 0.023631, -0.160974], "network.4.weight": [[-0.525355, 0.20729, -0.654759, -0.779992, -0.402738, -0.69469, 0.364902, -0.653875], [0.638321, 0.3243, 0.404924, -0.14984, 0.762456, 0.339128, 0.287958, 0.390699], [0.408801, -0.332142, 0.226258, 0.382602, -0.225731, 0.165234, 0.225156, -0.016089], [0.247851, 0.593852, 0.275162, 0.541154, 0.262316, 0.559849, 0.029696, 0.496151], [0.678851, 0.292637, 0.539884, 0.418612, 0.572275, 0.496499, 0.21886, 0.047291], [-0.204677, -0.254119, -0.283642, -0.018672, -0.152722, 0.134486, 0.175648, -0.296721], [0.264197, 0.385603, 0.069984, 0.043492, 0.595715, 0.283127, 0.030348, -0.031828], [-0.021684, -0.177057, 0.417722, 0.008045, 0.148516, -0.023757, 0.276392, 0.095339]], "network.4.bias": [-0.140957, -0.284574, 0.105806, 0.252065, -0.216685, -0.156936, -0.185715, -0.297367], "network.6.weight": [[-0.133126, -0.081051, -0.033197, -0.362312, -0.358643, 0.375633, -0.117618, 0.018587], [0.000894, 0.632033, -0.082649, 0.500615, 0.681186, -0.113813, 0.448252, 0.116096], [-0.331565, 0.021218, -0.225799, -0.359258, 0.018481, -0.089183, -0.270097, -0.013878], [0.349964, 0.539904, 0.344955, 0.088715, 0.164181, -0.042137, 0.27672, 0.076985], [0.147605, 0.237694, 0.033566, -0.574801, -0.002054, -0.079535, -0.293368, 0.47359], [0.082139, 0.341355, -0.54423, -0.278443, -0.463542, 0.306831, 0.38198, 0.34064], [-0.155018, 0.037431, 0.366936, 0.146984, 0.428439, -0.201379, 0.290875, 0.184012], [0.494968, 0.202054, -0.381364, -0.433914, 0.000518, 0.114198, -0.040245, 0.085379]], "network.6.bias": [0.058286, -0.177769, -0.440974, -0.396464, -0.121092, -0.079488, -0.445585, -0.367162], "network.8.weight": [[-0.472241, -0.529903, 0.236016, 0.571142, 0.50098, 0.509772, 0.022572, 0.380458], [0.197341, 0.359286, 0.65913, 0.562706, 0.584559, 0.236006, 0.248312, 0.339457], [-0.234375, 0.168325, -0.507038, -0.290222, -0.193846, -0.470091, -0.007751, -0.550451], [0.128765, -0.153904, 0.133099, 0.076343, -0.754713, -0.496758, -0.162008, -0.038588], [0.037495, -0.35653, -0.256413, -0.087125, -0.197989, -0.474398, 0.155992, -0.267824], [0.055765, 0.499167, 0.38935, 0.155686, 0.556593, 0.027919, 0.256654, 0.099458], [-0.330746, 0.22036, -0.111732, 0.104574, -0.386414, -0.44277, -0.020934, -0.050514], [-0.234232, -0.072723, 0.579696, 0.306391, 0.24483, 0.133529, 0.064948, 0.724821]], "network.8.bias": [-0.046114, 0.039515, -0.046471, 0.15638, 0.078032, 0.04517, 0.007584, -0.74605], "network.10.weight": [[0.00942, -0.177351, -0.018567, -0.065871, 0.084857, 0.330405, -0.026407, 0.047267], [0.570474, 0.469716, 0.129467, -0.006684, -0.003636, 0.526229, 0.203847, -0.109992], [-0.365764, -0.058601, 0.13738, -0.385827, -0.134883, 0.050712, -0.238432, -0.185365], [0.11657, 0.157864, 0.220371, 0.149014, 0.473205, 0.336433, 0.670019, 0.787528], [-0.290522, -0.16576, -0.01903, 0.253789, 0.326583, 0.186644, 0.039403, -0.337161], [-0.015391, 0.524833, -0.136509, -0.264379, 0.30876, 0.665243, -0.072, 0.178188], [0.083006, -0.011076, 0.209348, 0.197351, 0.361474, -0.050037, 0.040529, 0.119436], [-0.563076, 0.043054, 0.222172, -0.376681, 0.000877, 0.089172, 0.205579, -0.184394]], "network.10.bias": [0.062645, -0.225386, -0.098826, -0.429631, -0.11543, -0.448365, -0.13541, 0.090622], "network.12.weight": [[-0.073401, -0.46232, -0.082015, -0.379859, -0.004497, -0.422493, 0.169943, -0.040669]], "network.12.bias": [0.273607]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6936625242233276, "train_acc": 0.48, "val_loss": 0.6873909831047058, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6880570948123932, "train_acc": 0.56, "val_loss": 0.6706851124763489, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6635290682315826, "train_acc": 0.56, "val_loss": 0.6020941734313965, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6078797280788422, "train_acc": 0.49, "val_loss": 0.4812822639942169, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5315109491348267, "train_acc": 0.74, "val_loss": 0.39319565892219543, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.512994259595871, "train_acc": 0.74, "val_loss": 0.3447953462600708, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5012153089046478, "train_acc": 0.745, "val_loss": 0.35828566551208496, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4983009994029999, "train_acc": 0.745, "val_loss": 0.34633633494377136, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4764357805252075, "train_acc": 0.76, "val_loss": 0.6375187635421753, "val_acc": 0.76}], "summary": {"total_epochs": 9, "degraded_epochs": 3, "improved_epochs": 6, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6873909831047058, "final_val_loss": 0.6020941734313965, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.4812822639942169, "final_val_loss": 0.6375187635421753, "initial_val_acc": 0.78, "final_val_acc": 0.76, "best_val_acc": 0.9, "best_epoch": 5}, "improvement": 0.36, "first_improvement_epoch": 2}}
|
9,629
|
{"target_pattern": "decreasing_pairs", "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": "relu", "dropout_rate": 0.0, "random_seed": 2495, "learning_rate": 0.03813125718357694, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
-0.774954,
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0.143918,
0.27279,
0.291083
],
[
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-0.466451,
0.135611,
0.094992
],
[
0.053854,
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0.694286,
0.800285,
0.036646
],
[
-0.498924,
-0.20091,
0.01097,
0.615823,
0.364888
],
[
-0.603181,
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-0.308941,
0.320727,
0.594868
]
],
"network.0.bias": [
0.560323,
-0.054035,
0.676749,
0.201965,
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],
"network.2.weight": [
[
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0.119985,
0.297212,
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],
[
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0.424445,
0.565669,
0.604144
],
[
-0.720698,
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0.430286,
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],
[
0.227236,
0.03644,
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],
[
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]
],
"network.2.bias": [
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0.239156,
-0.516665,
0.352917
],
"network.4.weight": [
[
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],
[
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0.056746,
0.142284
],
[
0.040061,
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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": [
0.403346
]
}
## Activation Signature
### 0
mean: [0.874860, 0.030986, 3.862204, 1.008521, 0.202706]
std: [1.675897, 1.553340, 2.161424, 1.826210, 1.843218]
pca: [[0.477575, -0.111772, -0.355496, 0.782669, -0.143109, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.282878, -0.358673, 0.843416, 0.196456, 0.203440, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.323403, 0.881665, 0.298730, 0.033832, -0.166410, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.552059, 0.036635, -0.268273, -0.321838, 0.719957, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.531547, -0.283169, -0.032575, -0.494074, -0.626181, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.657380, 30.175759, 31.467753, 32.951860, 78.737409], [24.522587, 26.548324, 27.426681, 28.089893, 30.535706], [31.529263, 33.183877, 34.449852, 40.112050, 347.598355], [26.166652, 27.767638, 28.102359, 31.764994, 90.766885], [25.545718, 25.814320, 28.732926, 32.198238, 37.502156]]
### 2
mean: [1.581905, 4.206181, 0.608717, -2.406232, 0.649461]
std: [1.070365, 2.801240, 1.194042, 1.225838, 0.778903]
pca: [[0.316165, 0.010540, 0.875474, -0.204283, 0.302889, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.865571, 0.049486, -0.218842, 0.446794, 0.028651, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.170506, 0.761396, 0.280003, 0.407689, -0.382873, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.336237, -0.391454, 0.191542, 0.767493, 0.328595, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.093265, 0.514276, -0.265637, -0.058202, 0.808004, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.370685, 17.482893, 18.001027, 19.020147, 142.371409], [40.862831, 42.388529, 44.626262, 46.981898, 378.556279], [18.241380, 19.453537, 20.760208, 27.898292, 54.784533], [18.643823, 18.822751, 19.207132, 19.478016, 216.560840], [13.001162, 13.137846, 13.543388, 17.413204, 58.451493]]
### 4
mean: [-1.612603, -0.726389, -0.684690, -2.004510, 2.233111]
std: [0.724889, 1.303357, 0.567666, 1.590336, 2.505398]
pca: [[-0.168917, 0.617925, 0.657179, -0.293922, -0.267136, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.392972, -0.222458, 0.537707, 0.497249, 0.509607, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.073440, 0.692170, -0.337048, 0.088871, 0.627700, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.480182, 0.271280, -0.315578, 0.591647, -0.496181, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.762280, 0.126449, 0.256507, 0.555345, -0.169515, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.658362, 10.806592, 10.906056, 11.902722, 145.134302], [17.511579, 18.598240, 22.992470, 28.454251, 65.374978], [9.793834, 10.811634, 10.935579, 11.613653, 61.622093], [23.213518, 23.351922, 27.704854, 30.047372, 180.405864], [35.030758, 35.672750, 44.437201, 52.159854, 200.979995]]
### 6
mean: [-0.291229, 1.421580, -0.030793, 1.771135, 1.408454]
std: [0.187893, 1.573057, 0.504370, 1.507943, 1.531970]
pca: [[-0.062657, 0.420568, 0.047320, -0.213373, 0.878310, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.580112, -0.203317, -0.652191, 0.358680, 0.261014, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.184851, 0.300328, 0.255410, 0.898961, 0.047634, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.553802, 0.742530, 0.049606, -0.129726, -0.350232, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.564516, -0.374482, 0.710431, 0.029357, 0.188444, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.521049, 3.159492, 3.653504, 4.141981, 26.210577], [22.408218, 22.464405, 27.844022, 32.589246, 127.942189], [6.632878, 6.951369, 7.116811, 9.137724, 10.750572], [21.531158, 22.272716, 25.856395, 29.659598, 159.402130], [21.705057, 21.785352, 27.275038, 31.987410, 126.760847]]
### 8
mean: [-1.655519]
std: [2.129382]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.558437, 30.916071, 37.357512, 43.545069, 148.996703]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.774954,
0.018828,
0.143918,
0.27279,
0.291083
],
[
-0.392925,
0.625825,
-0.466451,
0.135611,
0.094992
],
[
0.053854,
-0.051154,
0.694286,
0.800285,
0.036646
],
[
-0.498924,
-0.20091,
0.01097,
0.615823,
0.364888
],
[
-0.603181,
0.148186,
-0.308941,
0.320727,
0.594868
]
],
"network.0.bias": [
0.560323,
-0.054035,
0.676749,
0.201965,
-0.092805
],
"network.2.weight": [
[
0.677444,
0.139565,
0.119985,
0.297212,
-0.244
],
[
0.557588,
0.555603,
0.424445,
0.565669,
0.604144
],
[
-0.720698,
-0.037969,
0.430286,
-0.104692,
-0.293247
],
[
0.227236,
0.03644,
-0.397333,
-0.277587,
-0.373372
],
[
-0.598018,
-0.144987,
0.332648,
-0.228585,
0.174821
]
],
"network.2.bias": [
-0.001194,
0.347192,
0.239156,
-0.516665,
0.352917
],
"network.4.weight": [
[
0.367154,
-0.391352,
-0.132528,
0.101692,
-0.135789
],
[
0.030294,
-0.37855,
0.553275,
0.056746,
0.142284
],
[
0.040061,
-0.041904,
-0.398341,
-0.299646,
-0.307815
],
[
-0.235659,
-0.446274,
0.313627,
0.005162,
0.033183
],
[
0.350532,
0.629817,
-0.519827,
-0.04758,
-0.596572
]
],
"network.4.bias": [
-0.344488,
0.267957,
-0.032306,
-0.033194,
-0.130288
],
"network.6.weight": [
[
0.162719,
0.323722,
0.268424,
0.444087,
-0.045983
],
[
-0.419933,
-0.446306,
-0.244354,
-0.371685,
0.629241
],
[
-0.370796,
0.305021,
-0.098232,
0.129155,
-0.187517
],
[
-0.31231,
0.221337,
0.095771,
0.089996,
0.652353
],
[
-0.41658,
-0.556397,
0.203569,
-0.143761,
0.602584
]
],
"network.6.bias": [
-0.240752,
0.017081,
0.356932,
0.192486,
0.086569
],
"network.8.weight": [
[
-0.100262,
-0.433966,
0.448106,
-0.308166,
-0.643672
]
],
"network.8.bias": [
0.403346
]
}
## Activation Signature
### 0
mean: [0.874860, 0.030986, 3.862204, 1.008521, 0.202706]
std: [1.675897, 1.553340, 2.161424, 1.826210, 1.843218]
pca: [[0.477575, -0.111772, -0.355496, 0.782669, -0.143109, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.282878, -0.358673, 0.843416, 0.196456, 0.203440, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.323403, 0.881665, 0.298730, 0.033832, -0.166410, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.552059, 0.036635, -0.268273, -0.321838, 0.719957, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.531547, -0.283169, -0.032575, -0.494074, -0.626181, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.657380, 30.175759, 31.467753, 32.951860, 78.737409], [24.522587, 26.548324, 27.426681, 28.089893, 30.535706], [31.529263, 33.183877, 34.449852, 40.112050, 347.598355], [26.166652, 27.767638, 28.102359, 31.764994, 90.766885], [25.545718, 25.814320, 28.732926, 32.198238, 37.502156]]
### 2
mean: [1.581905, 4.206181, 0.608717, -2.406232, 0.649461]
std: [1.070365, 2.801240, 1.194042, 1.225838, 0.778903]
pca: [[0.316165, 0.010540, 0.875474, -0.204283, 0.302889, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.865571, 0.049486, -0.218842, 0.446794, 0.028651, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.170506, 0.761396, 0.280003, 0.407689, -0.382873, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.336237, -0.391454, 0.191542, 0.767493, 0.328595, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.093265, 0.514276, -0.265637, -0.058202, 0.808004, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.370685, 17.482893, 18.001027, 19.020147, 142.371409], [40.862831, 42.388529, 44.626262, 46.981898, 378.556279], [18.241380, 19.453537, 20.760208, 27.898292, 54.784533], [18.643823, 18.822751, 19.207132, 19.478016, 216.560840], [13.001162, 13.137846, 13.543388, 17.413204, 58.451493]]
### 4
mean: [-1.612603, -0.726389, -0.684690, -2.004510, 2.233111]
std: [0.724889, 1.303357, 0.567666, 1.590336, 2.505398]
pca: [[-0.168917, 0.617925, 0.657179, -0.293922, -0.267136, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.392972, -0.222458, 0.537707, 0.497249, 0.509607, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.073440, 0.692170, -0.337048, 0.088871, 0.627700, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.480182, 0.271280, -0.315578, 0.591647, -0.496181, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.762280, 0.126449, 0.256507, 0.555345, -0.169515, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.658362, 10.806592, 10.906056, 11.902722, 145.134302], [17.511579, 18.598240, 22.992470, 28.454251, 65.374978], [9.793834, 10.811634, 10.935579, 11.613653, 61.622093], [23.213518, 23.351922, 27.704854, 30.047372, 180.405864], [35.030758, 35.672750, 44.437201, 52.159854, 200.979995]]
### 6
mean: [-0.291229, 1.421580, -0.030793, 1.771135, 1.408454]
std: [0.187893, 1.573057, 0.504370, 1.507943, 1.531970]
pca: [[-0.062657, 0.420568, 0.047320, -0.213373, 0.878310, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.580112, -0.203317, -0.652191, 0.358680, 0.261014, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.184851, 0.300328, 0.255410, 0.898961, 0.047634, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.553802, 0.742530, 0.049606, -0.129726, -0.350232, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.564516, -0.374482, 0.710431, 0.029357, 0.188444, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.521049, 3.159492, 3.653504, 4.141981, 26.210577], [22.408218, 22.464405, 27.844022, 32.589246, 127.942189], [6.632878, 6.951369, 7.116811, 9.137724, 10.750572], [21.531158, 22.272716, 25.856395, 29.659598, 159.402130], [21.705057, 21.785352, 27.275038, 31.987410, 126.760847]]
### 8
mean: [-1.655519]
std: [2.129382]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.558437, 30.916071, 37.357512, 43.545069, 148.996703]]
## 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": 0.8748600482940674, "std": 1.6758970022201538, "pca": [0.47757503390312195, -0.11177243292331696, -0.35549628734588623, 0.7826693058013916, -0.14310875535011292, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [25.657380119359285, 30.175759064197997, 31.46775296275214, 32.95186013081395, 78.73740881681442]}, "1": {"mean": 0.030985843390226364, "std": 1.5533398389816284, "pca": [0.2828782796859741, -0.35867294669151306, 0.8434162735939026, 0.19645588099956512, 0.20343950390815735, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [24.522587215504593, 26.548323548012497, 27.426680979240828, 28.08989323835284, 30.535706200777856]}, "2": {"mean": 3.8622043132781982, "std": 2.161424160003662, "pca": [0.3234032690525055, 0.8816654682159424, 0.29872986674308777, 0.033831920474767685, -0.16640987992286682, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [31.52926331791644, 33.183877440030656, 34.44985177223038, 40.11205031857339, 347.59835535287857]}, "3": {"mean": 1.0085209608078003, "std": 1.8262104988098145, "pca": [0.5520593523979187, 0.03663499653339386, -0.2682734429836273, -0.32183846831321716, 0.7199567556381226, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [26.166652117932465, 27.76763779458937, 28.10235908243381, 31.76499381614805, 90.76688529551029]}, "4": {"mean": 0.20270614326000214, "std": 1.8432179689407349, "pca": [0.531547486782074, -0.28316882252693176, -0.032575350254774094, -0.49407410621643066, -0.6261807084083557, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [25.545718327153597, 25.814319541365307, 28.732925763898876, 32.19823753517744, 37.50215646749153]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": 1.5819047689437866, "std": 1.0703649520874023, "pca": [0.31616517901420593, 0.0105395233258605, 0.8754742741584778, -0.20428325235843658, 0.30288878083229065, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [15.370684933676896, 17.48289344749895, 18.00102731567016, 19.020147053352606, 142.37140933424234]}, "1": {"mean": 4.206181049346924, "std": 2.8012404441833496, "pca": [0.8655710816383362, 0.04948568344116211, -0.21884191036224365, 0.4467943608760834, 0.028651004657149315, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [40.862830942706964, 42.38852946099886, 44.626261958020166, 46.98189834151091, 378.5562789440155]}, "2": {"mean": 0.6087170243263245, "std": 1.194042444229126, "pca": [-0.17050617933273315, 0.761396050453186, 0.2800029218196869, 0.4076888859272003, -0.3828731179237366, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [18.241380263404324, 19.45353712094849, 20.76020752330547, 27.898292471690002, 54.784533098340034]}, "3": {"mean": -2.406231641769409, "std": 1.2258384227752686, "pca": [-0.33623725175857544, -0.3914535343647003, 0.19154247641563416, 0.7674930095672607, 0.3285948932170868, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [18.643823190704236, 18.82275095632271, 19.20713249380971, 19.478016356179445, 216.5608401298523]}, "4": {"mean": 0.6494609713554382, "std": 0.7789028286933899, "pca": [-0.09326528012752533, 0.5142764449119568, -0.2656366527080536, -0.05820164084434509, 0.8080043792724609, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [13.001161649002459, 13.137845873325933, 13.54338755630545, 17.413203838623094, 58.45149263739586]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "4": {"neuron_profiles": {"0": {"mean": -1.6126034259796143, "std": 0.7248890995979309, "pca": [-0.16891716420650482, 0.617924690246582, 0.6571788787841797, -0.29392221570014954, -0.2671360671520233, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [10.658362133666314, 10.806591588640762, 10.906056113475767, 11.902721630793787, 145.1343019604683]}, "1": {"mean": -0.7263886332511902, "std": 1.3033567667007446, "pca": [-0.39297229051589966, -0.22245800495147705, 0.5377069115638733, 0.49724912643432617, 0.5096074938774109, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [17.51157925658551, 18.598240268806006, 22.992470412331016, 28.454251106770236, 65.37497834861279]}, "2": {"mean": -0.6846899390220642, "std": 0.5676656365394592, "pca": [0.0734398365020752, 0.6921700835227966, -0.3370484411716461, 0.08887139707803726, 0.6277000904083252, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [9.793833616716965, 10.811633964538107, 10.935578962570688, 11.613652690693108, 61.622092828154564]}, "3": {"mean": -2.004509687423706, "std": 1.590335726737976, "pca": [-0.4801824390888214, 0.2712799906730652, -0.31557804346084595, 0.5916474461555481, -0.4961812198162079, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [23.213518387189914, 23.35192184120843, 27.704853686001652, 30.047371653050302, 180.40586417913437]}, "4": {"mean": 2.2331111431121826, "std": 2.5053977966308594, "pca": [0.762280285358429, 0.1264486014842987, 0.25650733709335327, 0.5553451180458069, -0.16951501369476318, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [35.030758249504785, 35.67275021772922, 44.4372014124286, 52.15985362596353, 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[6.632878014097068, 6.951368839533098, 7.116810565620761, 9.137724230686429, 10.750571769992687]}, "3": {"mean": 1.7711347341537476, "std": 1.5079433917999268, "pca": [0.5538023710250854, 0.7425300478935242, 0.049606189131736755, -0.12972605228424072, -0.35023200511932373, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [21.531157987110912, 22.272715940798832, 25.856395095684924, 29.659597578420634, 159.40212976932526]}, "4": {"mean": 1.4084538221359253, "std": 1.5319702625274658, "pca": [0.5645156502723694, -0.37448230385780334, 0.710430920124054, 0.02935684844851494, 0.188444122672081, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [21.705057423449365, 21.78535156133764, 27.275038307956617, 31.987409971237522, 126.76084736734629]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -1.655518889427185, "std": 2.1293821334838867, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [30.558436617180202, 30.91607071529972, 37.35751221510916, 43.54506889764227, 148.99670289456844]}}, "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": [[-0.774954, 0.018828, 0.143918, 0.27279, 0.291083], [-0.392925, 0.625825, -0.466451, 0.135611, 0.094992], [0.053854, -0.051154, 0.694286, 0.800285, 0.036646], [-0.498924, -0.20091, 0.01097, 0.615823, 0.364888], [-0.603181, 0.148186, -0.308941, 0.320727, 0.594868]], "network.0.bias": [0.560323, -0.054035, 0.676749, 0.201965, -0.092805], "network.2.weight": [[0.677444, 0.139565, 0.119985, 0.297212, -0.244], [0.557588, 0.555603, 0.424445, 0.565669, 0.604144], [-0.720698, -0.037969, 0.430286, -0.104692, -0.293247], [0.227236, 0.03644, -0.397333, -0.277587, -0.373372], [-0.598018, -0.144987, 0.332648, -0.228585, 0.174821]], "network.2.bias": [-0.001194, 0.347192, 0.239156, -0.516665, 0.352917], "network.4.weight": [[0.367154, -0.391352, -0.132528, 0.101692, -0.135789], [0.030294, -0.37855, 0.553275, 0.056746, 0.142284], [0.040061, -0.041904, -0.398341, -0.299646, -0.307815], [-0.235659, -0.446274, 0.313627, 0.005162, 0.033183], [0.350532, 0.629817, -0.519827, -0.04758, -0.596572]], "network.4.bias": [-0.344488, 0.267957, -0.032306, -0.033194, -0.130288], "network.6.weight": [[0.162719, 0.323722, 0.268424, 0.444087, -0.045983], [-0.419933, -0.446306, -0.244354, -0.371685, 0.629241], [-0.370796, 0.305021, -0.098232, 0.129155, -0.187517], [-0.31231, 0.221337, 0.095771, 0.089996, 0.652353], [-0.41658, -0.556397, 0.203569, -0.143761, 0.602584]], "network.6.bias": [-0.240752, 0.017081, 0.356932, 0.192486, 0.086569], "network.8.weight": [[-0.100262, -0.433966, 0.448106, -0.308166, -0.643672]], "network.8.bias": [0.403346]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7406876087188721, "train_acc": 0.415, "val_loss": 0.6884242296218872, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7055317759513855, "train_acc": 0.415, "val_loss": 0.6880130171775818, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.67276930809021, "train_acc": 0.585, "val_loss": 0.680467963218689, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6298785507678986, "train_acc": 0.585, "val_loss": 0.6537950038909912, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6073731780052185, "train_acc": 0.51, "val_loss": 0.5504032373428345, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5085324645042419, "train_acc": 0.51, "val_loss": 0.4565427005290985, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.44233763217926025, "train_acc": 0.895, "val_loss": 0.38949963450431824, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.35373347997665405, "train_acc": 0.91, "val_loss": 0.34594962000846863, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.2995740473270416, "train_acc": 0.93, "val_loss": 0.3019534945487976, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.2546120807528496, "train_acc": 0.93, "val_loss": 0.2663806080818176, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.23438331484794617, "train_acc": 0.93, "val_loss": 0.2635892927646637, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.21144985407590866, "train_acc": 0.93, "val_loss": 0.2885490655899048, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.2208181768655777, "train_acc": 0.93, "val_loss": 0.2978271245956421, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.2181181162595749, "train_acc": 0.935, "val_loss": 0.2849524915218353, "val_acc": 0.92}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6884242296218872, "final_val_loss": 0.6537950038909912, "initial_val_acc": 0.54, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5504032373428345, "final_val_loss": 0.2849524915218353, "initial_val_acc": 0.46, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 7}, "improvement": 0.46, "first_improvement_epoch": 3}}
|
9,630
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.44, "improved_accuracy": 0.96, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7623, "learning_rate": 0.05431722817432625, "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": [
[
-0.425869,
0.031252,
-0.420734,
0.677215,
0.223796
],
[
0.665481,
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-0.318543,
-0.302991,
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],
[
-0.325275,
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-0.117286,
0.00148,
-0.352319
],
[
0.585103,
0.22162,
-0.354865,
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-0.34228
],
[
0.323765,
0.04141,
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]
],
"network.0.bias": [
0.233827,
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0.607391,
0.369139
],
"network.2.weight": [
[
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0.430551,
0.699867,
0.60672
],
[
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0.113818,
0.051587,
-0.369115
],
[
0.948204,
0.063335,
0.415785,
-0.12654,
0.015352
],
[
-0.432241,
0.624135,
0.131827,
0.294992,
-0.028407
],
[
-0.680538,
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-0.072257,
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]
],
"network.2.bias": [
0.30062,
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0.296487,
0.364646,
0.409073
],
"network.4.weight": [
[
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],
[
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-0.365868
],
[
-0.090757,
0.597421,
0.779401,
0.449192,
0.235397
],
[
-0.28135,
0.288848,
-0.250799,
0.136354,
0.241982
],
[
0.781076,
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0.372716,
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]
],
"network.4.bias": [
-0.079846,
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-0.050682,
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0.158972
],
"network.6.weight": [
[
0.34962,
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0.009086,
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],
[
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0.710384,
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],
[
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0.320688,
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0.177463
],
[
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0.498229,
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],
[
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]
],
"network.6.bias": [
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1.336824,
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1.274587,
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],
"network.8.weight": [
[
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],
[
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],
[
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],
[
0.035478,
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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": [
0.620523
]
}
## Activation Signature
### 0
mean: [0.610203, 0.195962, -2.007054, 0.364012, -1.006228]
std: [2.007644, 1.728433, 1.380478, 1.449102, 1.355009]
pca: [[-0.559649, 0.667091, 0.425032, -0.239786, -0.060275, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.564782, 0.375685, 0.091685, -0.279720, 0.673225, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175496, -0.475032, 0.712888, 0.246675, 0.417717, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.429657, 0.376642, 0.313346, 0.683254, -0.329415, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.390398, -0.215259, 0.452267, -0.580151, -0.510032, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.821341, 30.431267, 32.646569, 38.235148, 54.918300], [26.449353, 26.563025, 28.699176, 29.209267, 29.883092], [23.197994, 23.294711, 25.167107, 27.307210, 180.634852], [22.253439, 22.889930, 24.645118, 27.566919, 32.761117], [21.165161, 21.967714, 22.362933, 22.522011, 90.560539]]
### 2
mean: [0.966604, 1.292282, 1.343433, 0.546403, -0.738227]
std: [2.000564, 1.611416, 1.346807, 1.416085, 0.937026]
pca: [[0.614915, -0.496887, -0.125911, 0.233053, 0.552102, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.514005, -0.260999, 0.295057, 0.757200, 0.085248, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.372958, -0.511535, 0.374324, -0.608836, 0.297381, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.454578, -0.192082, 0.680866, 0.037837, -0.539864, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.109267, 0.621626, 0.541656, 0.014892, 0.555003, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.008613, 30.178560, 31.401593, 34.453763, 86.994345], [22.435609, 24.324102, 26.137855, 28.950607, 116.305368], [20.266403, 23.243857, 23.507455, 23.543159, 120.909007], [21.093714, 21.455796, 22.720491, 23.651817, 49.176302], [15.411806, 17.237840, 18.158790, 20.254199, 66.440449]]
### 4
mean: [0.136046, -1.501532, 2.142076, -0.531048, -0.332222]
std: [1.718394, 0.714691, 1.677171, 0.428743, 3.037270]
pca: [[0.450947, 0.271082, 0.326482, 0.029106, 0.784680, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.049617, -0.511296, -0.367449, 0.700599, 0.332049, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.347933, 0.789971, -0.162832, 0.477335, -0.022913, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.100777, -0.148384, 0.838641, 0.445893, -0.256296, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.814231, 0.137909, -0.168991, 0.285733, -0.455860, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.363027, 25.658697, 25.838890, 27.911194, 30.717300], [10.220069, 12.774349, 13.073871, 16.167490, 135.137849], [26.232275, 28.335039, 28.640480, 31.121126, 192.786866], [6.397637, 6.761317, 7.822278, 8.094853, 47.794308], [43.898942, 45.134800, 45.184544, 49.103626, 50.651546]]
### 6
mean: [-0.712412, 1.894223, -1.330077, 1.507433, -1.327101]
std: [0.185047, 2.502670, 0.567321, 2.042870, 0.678049]
pca: [[0.051852, 0.086093, -0.589212, 0.702298, -0.386661, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.769647, -0.015730, 0.201964, 0.375887, 0.474675, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.029698, 0.678522, 0.599037, 0.222953, -0.360793, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.626879, 0.163760, -0.244722, -0.536896, -0.481725, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.105336, 0.710725, -0.439664, -0.165897, 0.512784, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.793000, 3.003513, 3.187976, 3.723853, 64.117110], [37.200541, 37.337244, 40.018407, 44.875242, 170.480061], [7.670680, 9.408133, 11.783691, 11.785459, 119.706972], [30.264086, 31.395374, 32.066631, 37.965977, 135.668990], [10.965965, 11.367439, 11.567553, 13.253432, 119.439070]]
### 8
mean: [-1.483438, -0.756875, -0.960553, -0.522833, 4.777847]
std: [0.909810, 0.234222, 0.277631, 0.875240, 3.257754]
pca: [[-0.259014, 0.229662, -0.413923, 0.101239, 0.835814, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.066667, -0.130227, -0.113219, 0.969886, -0.158424, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.078565, 0.747590, 0.631820, 0.178776, 0.061477, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249085, -0.607758, 0.637536, 0.041125, 0.400555, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.927497, -0.045116, 0.101003, 0.124174, 0.334802, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.623331, 13.977661, 14.017610, 16.453434, 133.509449], [3.457636, 3.574053, 3.579749, 4.252152, 68.118764], [4.274548, 4.360457, 4.742221, 4.931967, 86.449772], [12.828790, 13.357161, 13.397012, 15.898348, 47.054951], [49.060264, 49.478147, 50.078230, 58.987887, 430.006267]]
### 10
mean: [-5.586283]
std: [4.401409]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[65.344763, 67.888022, 68.810264, 78.878075, 502.765434]]
## 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": [
[
-0.425869,
0.031252,
-0.420734,
0.677215,
0.223796
],
[
0.665481,
0.387919,
-0.318543,
-0.302991,
-0.22395
],
[
-0.325275,
-0.325291,
-0.117286,
0.00148,
-0.352319
],
[
0.585103,
0.22162,
-0.354865,
-0.098827,
-0.34228
],
[
0.323765,
0.04141,
-0.258057,
-0.401279,
-0.368238
]
],
"network.0.bias": [
0.233827,
0.252286,
-0.333165,
0.607391,
0.369139
],
"network.2.weight": [
[
-0.387107,
0.668242,
0.430551,
0.699867,
0.60672
],
[
0.892626,
-0.469958,
0.113818,
0.051587,
-0.369115
],
[
0.948204,
0.063335,
0.415785,
-0.12654,
0.015352
],
[
-0.432241,
0.624135,
0.131827,
0.294992,
-0.028407
],
[
-0.680538,
-0.019388,
-0.072257,
-0.349386,
-0.582704
]
],
"network.2.bias": [
0.30062,
0.637164,
0.296487,
0.364646,
0.409073
],
"network.4.weight": [
[
0.454277,
-0.431692,
-0.002142,
0.404104,
-0.214915
],
[
-0.283729,
0.179033,
-0.639299,
-0.223929,
-0.365868
],
[
-0.090757,
0.597421,
0.779401,
0.449192,
0.235397
],
[
-0.28135,
0.288848,
-0.250799,
0.136354,
0.241982
],
[
0.781076,
-0.767962,
-0.402863,
0.372716,
-0.741597
]
],
"network.4.bias": [
-0.079846,
-0.359114,
-0.050682,
-0.410929,
0.158972
],
"network.6.weight": [
[
0.34962,
-0.418661,
0.009086,
-0.412414,
-0.32698
],
[
-0.601668,
-0.003869,
0.710384,
-0.122808,
-0.556188
],
[
-0.522595,
0.320688,
-0.34091,
0.31582,
0.177463
],
[
-0.248751,
-0.071566,
0.498229,
-0.275444,
-0.670267
],
[
0.219255,
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-0.422548,
0.285475,
-0.236546
]
],
"network.6.bias": [
-0.648826,
1.336824,
-0.415918,
1.274587,
-0.338729
],
"network.8.weight": [
[
-0.023009,
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0.357239,
-0.447571,
0.079026
],
[
0.185427,
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0.120057,
-0.019301,
-0.228214
],
[
-0.041535,
0.196519,
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],
[
0.035478,
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0.03232,
-0.010592,
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],
[
0.069247,
1.052948,
0.276757,
1.209534,
0.077972
]
],
"network.8.bias": [
-0.132037,
-0.421362,
-0.506454,
0.722825,
-0.010847
],
"network.10.weight": [
[
-0.032067,
0.272132,
-0.092127,
0.655733,
-1.315815
]
],
"network.10.bias": [
0.620523
]
}
## Activation Signature
### 0
mean: [0.610203, 0.195962, -2.007054, 0.364012, -1.006228]
std: [2.007644, 1.728433, 1.380478, 1.449102, 1.355009]
pca: [[-0.559649, 0.667091, 0.425032, -0.239786, -0.060275, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.564782, 0.375685, 0.091685, -0.279720, 0.673225, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175496, -0.475032, 0.712888, 0.246675, 0.417717, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.429657, 0.376642, 0.313346, 0.683254, -0.329415, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.390398, -0.215259, 0.452267, -0.580151, -0.510032, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.821341, 30.431267, 32.646569, 38.235148, 54.918300], [26.449353, 26.563025, 28.699176, 29.209267, 29.883092], [23.197994, 23.294711, 25.167107, 27.307210, 180.634852], [22.253439, 22.889930, 24.645118, 27.566919, 32.761117], [21.165161, 21.967714, 22.362933, 22.522011, 90.560539]]
### 2
mean: [0.966604, 1.292282, 1.343433, 0.546403, -0.738227]
std: [2.000564, 1.611416, 1.346807, 1.416085, 0.937026]
pca: [[0.614915, -0.496887, -0.125911, 0.233053, 0.552102, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.514005, -0.260999, 0.295057, 0.757200, 0.085248, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.372958, -0.511535, 0.374324, -0.608836, 0.297381, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.454578, -0.192082, 0.680866, 0.037837, -0.539864, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.109267, 0.621626, 0.541656, 0.014892, 0.555003, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.008613, 30.178560, 31.401593, 34.453763, 86.994345], [22.435609, 24.324102, 26.137855, 28.950607, 116.305368], [20.266403, 23.243857, 23.507455, 23.543159, 120.909007], [21.093714, 21.455796, 22.720491, 23.651817, 49.176302], [15.411806, 17.237840, 18.158790, 20.254199, 66.440449]]
### 4
mean: [0.136046, -1.501532, 2.142076, -0.531048, -0.332222]
std: [1.718394, 0.714691, 1.677171, 0.428743, 3.037270]
pca: [[0.450947, 0.271082, 0.326482, 0.029106, 0.784680, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.049617, -0.511296, -0.367449, 0.700599, 0.332049, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.347933, 0.789971, -0.162832, 0.477335, -0.022913, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.100777, -0.148384, 0.838641, 0.445893, -0.256296, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.814231, 0.137909, -0.168991, 0.285733, -0.455860, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.363027, 25.658697, 25.838890, 27.911194, 30.717300], [10.220069, 12.774349, 13.073871, 16.167490, 135.137849], [26.232275, 28.335039, 28.640480, 31.121126, 192.786866], [6.397637, 6.761317, 7.822278, 8.094853, 47.794308], [43.898942, 45.134800, 45.184544, 49.103626, 50.651546]]
### 6
mean: [-0.712412, 1.894223, -1.330077, 1.507433, -1.327101]
std: [0.185047, 2.502670, 0.567321, 2.042870, 0.678049]
pca: [[0.051852, 0.086093, -0.589212, 0.702298, -0.386661, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.769647, -0.015730, 0.201964, 0.375887, 0.474675, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.029698, 0.678522, 0.599037, 0.222953, -0.360793, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.626879, 0.163760, -0.244722, -0.536896, -0.481725, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.105336, 0.710725, -0.439664, -0.165897, 0.512784, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.793000, 3.003513, 3.187976, 3.723853, 64.117110], [37.200541, 37.337244, 40.018407, 44.875242, 170.480061], [7.670680, 9.408133, 11.783691, 11.785459, 119.706972], [30.264086, 31.395374, 32.066631, 37.965977, 135.668990], [10.965965, 11.367439, 11.567553, 13.253432, 119.439070]]
### 8
mean: [-1.483438, -0.756875, -0.960553, -0.522833, 4.777847]
std: [0.909810, 0.234222, 0.277631, 0.875240, 3.257754]
pca: [[-0.259014, 0.229662, -0.413923, 0.101239, 0.835814, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.066667, -0.130227, -0.113219, 0.969886, -0.158424, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.078565, 0.747590, 0.631820, 0.178776, 0.061477, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249085, -0.607758, 0.637536, 0.041125, 0.400555, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.927497, -0.045116, 0.101003, 0.124174, 0.334802, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.623331, 13.977661, 14.017610, 16.453434, 133.509449], [3.457636, 3.574053, 3.579749, 4.252152, 68.118764], [4.274548, 4.360457, 4.742221, 4.931967, 86.449772], [12.828790, 13.357161, 13.397012, 15.898348, 47.054951], [49.060264, 49.478147, 50.078230, 58.987887, 430.006267]]
### 10
mean: [-5.586283]
std: [4.401409]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[65.344763, 67.888022, 68.810264, 78.878075, 502.765434]]
## 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": 0.6102033257484436, "std": 2.007643699645996, "pca": [-0.5596486926078796, 0.667090892791748, 0.42503225803375244, -0.23978647589683533, -0.06027541309595108, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [29.821340909734445, 30.43126718869531, 32.64656948320872, 38.235148044274105, 54.91830013692379]}, "1": {"mean": 0.1959623098373413, "std": 1.7284331321716309, "pca": [0.5647822618484497, 0.37568533420562744, 0.09168533235788345, -0.27972009778022766, 0.6732250452041626, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [26.449352643513503, 26.563025059350686, 28.699175911091526, 29.209266711559863, 29.88309185771561]}, "2": {"mean": -2.007053852081299, "std": 1.3804775476455688, "pca": [-0.17549581825733185, -0.4750315845012665, 0.7128884792327881, 0.24667473137378693, 0.4177173674106598, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [23.197993792335705, 23.294710784857543, 25.167106583180388, 27.307210375457174, 180.63485223054886]}, "3": {"mean": 0.36401239037513733, "std": 1.4491016864776611, "pca": [0.42965686321258545, 0.3766416311264038, 0.31334590911865234, 0.6832539439201355, -0.32941535115242004, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [22.25343867533702, 22.889929828962725, 24.645118422031306, 27.566919337552356, 32.76111659407616]}, "4": {"mean": -1.0062282085418701, "std": 1.3550087213516235, "pca": [0.39039790630340576, -0.21525880694389343, 0.4522673487663269, -0.5801506638526917, -0.5100319981575012, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [21.165161178275397, 21.9677141206558, 22.362933345310783, 22.52201122074961, 90.56053882837296]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": 0.9666038751602173, "std": 2.000563621520996, "pca": [0.6149145364761353, -0.49688708782196045, -0.12591084837913513, 0.23305290937423706, 0.5521015524864197, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [30.008613291127958, 30.178560468962335, 31.40159328722198, 34.45376297367859, 86.99434481561184]}, "1": {"mean": 1.2922818660736084, "std": 1.6114156246185303, "pca": [-0.5140052437782288, -0.26099929213523865, 0.29505693912506104, 0.7572002410888672, 0.08524754643440247, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [22.435609125357086, 24.324102365583496, 26.137854713361317, 28.95060736258393, 116.30536797642708]}, "2": {"mean": 1.3434334993362427, "std": 1.3468066453933716, "pca": [-0.37295809388160706, -0.5115348696708679, 0.3743235170841217, -0.6088355183601379, 0.2973811626434326, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [20.266403193037277, 23.24385693356282, 23.507454644749604, 23.543158559790893, 120.90900653600693]}, "3": {"mean": 0.5464033484458923, "std": 1.416085124015808, "pca": [0.4545784890651703, -0.19208192825317383, 0.6808658838272095, 0.037837229669094086, -0.5398638248443604, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [21.09371352804073, 21.455795762342046, 22.720490646317568, 23.651817290778553, 49.17630156874657]}, "4": 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"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": [[-0.425869, 0.031252, -0.420734, 0.677215, 0.223796], [0.665481, 0.387919, -0.318543, -0.302991, -0.22395], [-0.325275, -0.325291, -0.117286, 0.00148, -0.352319], [0.585103, 0.22162, -0.354865, -0.098827, -0.34228], [0.323765, 0.04141, -0.258057, -0.401279, -0.368238]], "network.0.bias": [0.233827, 0.252286, -0.333165, 0.607391, 0.369139], "network.2.weight": [[-0.387107, 0.668242, 0.430551, 0.699867, 0.60672], [0.892626, -0.469958, 0.113818, 0.051587, -0.369115], [0.948204, 0.063335, 0.415785, -0.12654, 0.015352], [-0.432241, 0.624135, 0.131827, 0.294992, -0.028407], [-0.680538, -0.019388, -0.072257, -0.349386, -0.582704]], "network.2.bias": [0.30062, 0.637164, 0.296487, 0.364646, 0.409073], "network.4.weight": [[0.454277, -0.431692, -0.002142, 0.404104, -0.214915], [-0.283729, 0.179033, -0.639299, -0.223929, -0.365868], [-0.090757, 0.597421, 0.779401, 0.449192, 0.235397], [-0.28135, 0.288848, -0.250799, 0.136354, 0.241982], [0.781076, -0.767962, -0.402863, 0.372716, -0.741597]], "network.4.bias": [-0.079846, -0.359114, -0.050682, -0.410929, 0.158972], "network.6.weight": [[0.34962, -0.418661, 0.009086, -0.412414, -0.32698], [-0.601668, -0.003869, 0.710384, -0.122808, -0.556188], [-0.522595, 0.320688, -0.34091, 0.31582, 0.177463], [-0.248751, -0.071566, 0.498229, -0.275444, -0.670267], [0.219255, -0.172714, -0.422548, 0.285475, -0.236546]], "network.6.bias": [-0.648826, 1.336824, -0.415918, 1.274587, -0.338729], "network.8.weight": [[-0.023009, -0.210878, 0.357239, -0.447571, 0.079026], [0.185427, -0.126919, 0.120057, -0.019301, -0.228214], [-0.041535, 0.196519, -0.172365, -0.479637, -0.278939], [0.035478, -0.520806, 0.03232, -0.010592, -0.046931], [0.069247, 1.052948, 0.276757, 1.209534, 0.077972]], "network.8.bias": [-0.132037, -0.421362, -0.506454, 0.722825, -0.010847], "network.10.weight": [[-0.032067, 0.272132, -0.092127, 0.655733, -1.315815]], "network.10.bias": [0.620523]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7041189670562744, "train_acc": 0.43, "val_loss": 0.6967695355415344, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.68315589427948, "train_acc": 0.57, "val_loss": 0.708320140838623, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6604913473129272, "train_acc": 0.57, "val_loss": 0.6873700022697449, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6319743096828461, "train_acc": 0.57, "val_loss": 0.669547975063324, "val_acc": 0.44}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6021679043769836, "train_acc": 0.57, "val_loss": 0.6290552616119385, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5716928541660309, "train_acc": 0.515, "val_loss": 0.5411685705184937, "val_acc": 0.44}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.48479530215263367, "train_acc": 0.515, "val_loss": 0.4470262825489044, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.38879674673080444, "train_acc": 0.915, "val_loss": 0.3624255359172821, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.3416992723941803, "train_acc": 0.92, "val_loss": 0.2956417500972748, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.2636668160557747, "train_acc": 0.93, "val_loss": 0.22274921834468842, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.23445896059274673, "train_acc": 0.93, "val_loss": 0.19441726803779602, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.19601225852966309, "train_acc": 0.95, "val_loss": 0.18260493874549866, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.18892285972833633, "train_acc": 0.95, "val_loss": 0.1612333506345749, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.17861875146627426, "train_acc": 0.95, "val_loss": 0.1716497391462326, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.19033727794885635, "train_acc": 0.94, "val_loss": 0.148824080824852, "val_acc": 0.96}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6967695355415344, "final_val_loss": 0.6290552616119385, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5411685705184937, "final_val_loss": 0.148824080824852, "initial_val_acc": 0.44, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 9}, "improvement": 0.52, "first_improvement_epoch": 4}}
|
9,631
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.5, "improved_accuracy": 0.74, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7372, "learning_rate": 0.08431672385240756, "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: 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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[
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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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"network.10.weight": [
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}
## Activation Signature
### 0
mean: [-1.936598, -2.041531, -1.405520, 0.295629, -0.695428, 0.801974]
std: [1.754966, 1.412422, 1.349459, 1.809407, 1.288484, 2.058361]
pca: [[0.053026, 0.676928, -0.490607, -0.263826, 0.065763, -0.473639, 0.000000, 0.000000, 0.000000, 0.000000], [-0.144610, 0.514464, 0.021968, 0.742670, -0.325565, 0.237446, 0.000000, 0.000000, 0.000000, 0.000000], [-0.000303, 0.496897, 0.389641, -0.470747, 0.169777, 0.592323, 0.000000, 0.000000, 0.000000, 0.000000], [0.635386, 0.060992, 0.009026, 0.365118, 0.676470, 0.039503, 0.000000, 0.000000, 0.000000, 0.000000], [-0.226981, 0.155242, 0.733235, 0.091620, 0.174410, -0.589859, 0.000000, 0.000000, 0.000000, 0.000000], [0.721831, 0.048676, 0.263227, -0.124614, -0.610597, -0.137643, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.267072, 29.616606, 31.675653, 38.348466, 174.293780], [21.963520, 23.448555, 23.833550, 25.367125, 183.737788], [22.092408, 26.435691, 27.822396, 29.445000, 126.496768], [26.606648, 28.295273, 28.741432, 31.587167, 35.767882], [19.132958, 19.180513, 22.407185, 23.765379, 62.588553], [32.326368, 35.559619, 35.983764, 38.052770, 72.177711]]
### 2
mean: [0.627028, -1.554397, 0.676292, 0.002327, 0.078389, 1.711005]
std: [1.131994, 2.048899, 1.460535, 0.399843, 0.372896, 2.124574]
pca: [[0.322351, 0.126522, -0.036448, 0.515995, -0.054491, 0.780726, 0.000000, 0.000000, 0.000000, 0.000000], [-0.582217, 0.532385, -0.261864, -0.213629, 0.407825, 0.311543, 0.000000, 0.000000, 0.000000, 0.000000], [0.412444, 0.713664, -0.265523, 0.217809, -0.058241, -0.446361, 0.000000, 0.000000, 0.000000, 0.000000], [-0.098338, 0.412236, 0.889249, -0.048904, -0.160968, 0.036397, 0.000000, 0.000000, 0.000000, 0.000000], [-0.104886, -0.145956, 0.226616, 0.594558, 0.701311, -0.266467, 0.000000, 0.000000, 0.000000, 0.000000], [0.605253, 0.000102, 0.132204, -0.533648, 0.556390, 0.147785, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.119927, 19.062808, 21.007121, 25.927535, 56.432565], [33.768338, 35.165510, 36.298136, 44.600634, 139.895703], [24.020880, 24.468029, 28.054422, 34.599344, 60.866276], [6.183509, 6.215060, 6.769107, 7.591645, 7.857893], [5.992496, 6.577409, 7.054976, 7.487194, 8.698342], [33.096635, 36.008713, 38.683529, 47.829557, 153.990516]]
### 4
mean: [-0.489763, 1.499388, 0.916992, -1.257646, 1.569029, -1.042195]
std: [0.085666, 2.062144, 1.247501, 0.963480, 2.327977, 0.525572]
pca: [[0.018404, 0.542364, 0.398502, 0.071714, -0.076538, 0.731913, 0.000000, 0.000000, 0.000000, 0.000000], [0.584923, -0.064948, -0.369329, 0.257933, 0.613180, 0.273357, 0.000000, 0.000000, 0.000000, 0.000000], [0.353427, 0.623818, -0.370090, 0.216087, -0.434948, -0.336304, 0.000000, 0.000000, 0.000000, 0.000000], [-0.272936, 0.504736, 0.248221, 0.031636, 0.645251, -0.437931, 0.000000, 0.000000, 0.000000, 0.000000], [0.660269, -0.128607, 0.670468, -0.123320, -0.062571, -0.280809, 0.000000, 0.000000, 0.000000, 0.000000], [-0.148882, -0.202916, 0.238083, 0.930283, -0.093319, -0.076428, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.516491, 1.574537, 1.656751, 1.872151, 44.078689], [31.554932, 35.590991, 37.650175, 46.998546, 134.944965], [19.495204, 21.240468, 23.176301, 27.798155, 82.529287], [14.280800, 16.728642, 17.248475, 22.484650, 113.188134], [35.988103, 39.876528, 43.130800, 53.438893, 141.212587], [8.213360, 8.806428, 9.529765, 11.750677, 93.797579]]
### 6
mean: [0.150295, 1.295792, 1.379570, -1.033496, -0.537654, 0.380776]
std: [0.063217, 1.963074, 2.125748, 0.913482, 0.705414, 0.909231]
pca: [[0.019051, -0.307884, 0.777120, 0.054510, 0.261998, 0.478868, 0.000000, 0.000000, 0.000000, 0.000000], [0.604828, 0.064006, -0.287020, -0.433756, -0.105930, 0.590204, 0.000000, 0.000000, 0.000000, 0.000000], [0.654939, 0.445410, 0.255243, 0.509439, 0.012465, -0.218707, 0.000000, 0.000000, 0.000000, 0.000000], [-0.281440, 0.163557, -0.357542, 0.647424, 0.069198, 0.585028, 0.000000, 0.000000, 0.000000, 0.000000], [-0.217272, 0.672885, 0.060631, -0.335961, 0.617747, 0.043137, 0.000000, 0.000000, 0.000000, 0.000000], [0.280107, -0.472435, -0.342115, 0.131640, 0.730466, -0.174336, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[0.979117, 1.007810, 1.159052, 1.501242, 13.526567], [30.060703, 33.721051, 36.074452, 44.854491, 116.621230], [32.566981, 36.568666, 38.989492, 48.484623, 124.161334], [13.937879, 15.747208, 16.701595, 20.926761, 93.014663], [10.713407, 12.130393, 12.925201, 16.289379, 48.388899], [13.872651, 15.603358, 16.719681, 20.897112, 34.269863]]
### 8
mean: [-0.977731, -0.562484, 0.716608, 0.979927, -0.870203, -0.591365]
std: [1.699167, 0.202051, 0.885853, 1.462140, 1.642659, 0.767665]
pca: [[0.562097, -0.260444, 0.300666, -0.611098, 0.241273, 0.306858, 0.000000, 0.000000, 0.000000, 0.000000], [0.066736, 0.624692, 0.293660, 0.333428, 0.512202, 0.381505, 0.000000, 0.000000, 0.000000, 0.000000], [-0.293037, -0.411400, -0.478101, 0.015337, 0.706278, 0.131277, 0.000000, 0.000000, 0.000000, 0.000000], [-0.483680, -0.461812, 0.654558, 0.185339, -0.084136, 0.287938, 0.000000, 0.000000, 0.000000, 0.000000], [0.543402, -0.369213, 0.154177, 0.612651, 0.171016, -0.374217, 0.000000, 0.000000, 0.000000, 0.000000], [0.253948, -0.151955, -0.377581, 0.324743, -0.379845, 0.721188, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.536670, 29.526146, 30.889429, 39.284157, 87.995739], [2.983231, 3.562168, 3.593347, 4.732421, 50.623571], [13.231687, 15.462824, 16.019870, 20.535423, 64.494687], [21.822468, 25.525440, 26.480733, 33.885240, 88.193407], [24.688374, 28.533686, 29.898900, 37.964941, 78.318296], [11.521268, 13.346609, 13.967735, 17.748358, 53.222819]]
### 10
mean: [-0.389239]
std: [0.681014]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.258743, 11.814709, 12.405661, 15.723652, 35.031509]]
## 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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.118626,
0.005213,
-0.821116,
0.090014,
-0.330771
],
[
0.184031,
-0.430127,
-0.373193,
-0.167463,
-0.310865
],
[
-0.323399,
0.018423,
-0.168685,
-0.103984,
-0.470093
],
[
0.430248,
0.570741,
-0.006353,
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],
[
-0.351924,
-0.332262,
0.321659,
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-0.233779
],
[
0.149197,
0.907029,
0.075546,
-0.196709,
-0.585552
]
],
"network.0.bias": [
-0.163581,
0.035313,
0.118496,
-0.502965,
0.392698,
-0.050296
],
"network.2.weight": [
[
0.016595,
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0.052174,
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0.412459
],
[
-0.009596,
0.268263,
-0.30026,
-0.697785,
-0.212752,
-0.756228
],
[
0.193539,
-0.124089,
0.238289,
0.463939,
-0.501301,
0.511668
],
[
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0.085458,
0.310292,
0.284083,
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],
[
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0.104503,
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0.13949,
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],
[
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0.235223,
0.739062,
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]
],
"network.2.bias": [
-0.145766,
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-0.223494,
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0.317261,
0.217124
],
"network.4.weight": [
[
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0.045319,
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0.029208
],
[
0.218775,
0.031079,
0.510185,
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0.058875,
0.533115
],
[
0.396102,
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0.374575
],
[
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0.364393,
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-0.06571
],
[
0.396748,
0.142389,
0.837092,
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0.322935
],
[
-0.14918,
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0.167403,
0.00504,
-0.035921,
-0.278349
]
],
"network.4.bias": [
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0.025697,
0.102605,
-0.557667,
0.184545,
-0.596454
],
"network.6.weight": [
[
0.228727,
0.263525,
-0.219248,
0.121606,
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0.218715
],
[
-0.343223,
0.333765,
0.111759,
-0.059364,
0.489668,
-0.003514
],
[
0.371387,
0.594268,
0.13757,
-0.140216,
0.314341,
-0.374802
],
[
0.329997,
-0.315603,
0.087873,
-0.234891,
-0.160426,
-0.301819
],
[
0.040056,
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0.174492,
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0.568757
],
[
0.145687,
0.038287,
-0.063328,
-0.123291,
0.391931,
-0.156327
]
],
"network.6.bias": [
0.098635,
-0.081466,
-0.134763,
-0.387296,
-0.061783,
-0.238189
],
"network.8.weight": [
[
-0.094098,
-0.267005,
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0.076974,
0.213627,
-0.345336
],
[
-0.372631,
-0.159822,
0.125794,
0.057795,
-0.094723,
-0.15902
],
[
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0.331136,
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0.094043,
0.292635
],
[
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0.538249
],
[
0.394919,
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0.005485,
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],
[
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-0.010171,
-0.206015
]
],
"network.8.bias": [
0.160693,
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0.072123,
0.174948,
-0.126236
],
"network.10.weight": [
[
0.018152,
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-0.218619,
-0.327505,
0.104225,
-0.162769
]
],
"network.10.bias": [
0.075437
]
}
## Activation Signature
### 0
mean: [-1.936598, -2.041531, -1.405520, 0.295629, -0.695428, 0.801974]
std: [1.754966, 1.412422, 1.349459, 1.809407, 1.288484, 2.058361]
pca: [[0.053026, 0.676928, -0.490607, -0.263826, 0.065763, -0.473639, 0.000000, 0.000000, 0.000000, 0.000000], [-0.144610, 0.514464, 0.021968, 0.742670, -0.325565, 0.237446, 0.000000, 0.000000, 0.000000, 0.000000], [-0.000303, 0.496897, 0.389641, -0.470747, 0.169777, 0.592323, 0.000000, 0.000000, 0.000000, 0.000000], [0.635386, 0.060992, 0.009026, 0.365118, 0.676470, 0.039503, 0.000000, 0.000000, 0.000000, 0.000000], [-0.226981, 0.155242, 0.733235, 0.091620, 0.174410, -0.589859, 0.000000, 0.000000, 0.000000, 0.000000], [0.721831, 0.048676, 0.263227, -0.124614, -0.610597, -0.137643, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.267072, 29.616606, 31.675653, 38.348466, 174.293780], [21.963520, 23.448555, 23.833550, 25.367125, 183.737788], [22.092408, 26.435691, 27.822396, 29.445000, 126.496768], [26.606648, 28.295273, 28.741432, 31.587167, 35.767882], [19.132958, 19.180513, 22.407185, 23.765379, 62.588553], [32.326368, 35.559619, 35.983764, 38.052770, 72.177711]]
### 2
mean: [0.627028, -1.554397, 0.676292, 0.002327, 0.078389, 1.711005]
std: [1.131994, 2.048899, 1.460535, 0.399843, 0.372896, 2.124574]
pca: [[0.322351, 0.126522, -0.036448, 0.515995, -0.054491, 0.780726, 0.000000, 0.000000, 0.000000, 0.000000], [-0.582217, 0.532385, -0.261864, -0.213629, 0.407825, 0.311543, 0.000000, 0.000000, 0.000000, 0.000000], [0.412444, 0.713664, -0.265523, 0.217809, -0.058241, -0.446361, 0.000000, 0.000000, 0.000000, 0.000000], [-0.098338, 0.412236, 0.889249, -0.048904, -0.160968, 0.036397, 0.000000, 0.000000, 0.000000, 0.000000], [-0.104886, -0.145956, 0.226616, 0.594558, 0.701311, -0.266467, 0.000000, 0.000000, 0.000000, 0.000000], [0.605253, 0.000102, 0.132204, -0.533648, 0.556390, 0.147785, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.119927, 19.062808, 21.007121, 25.927535, 56.432565], [33.768338, 35.165510, 36.298136, 44.600634, 139.895703], [24.020880, 24.468029, 28.054422, 34.599344, 60.866276], [6.183509, 6.215060, 6.769107, 7.591645, 7.857893], [5.992496, 6.577409, 7.054976, 7.487194, 8.698342], [33.096635, 36.008713, 38.683529, 47.829557, 153.990516]]
### 4
mean: [-0.489763, 1.499388, 0.916992, -1.257646, 1.569029, -1.042195]
std: [0.085666, 2.062144, 1.247501, 0.963480, 2.327977, 0.525572]
pca: [[0.018404, 0.542364, 0.398502, 0.071714, -0.076538, 0.731913, 0.000000, 0.000000, 0.000000, 0.000000], [0.584923, -0.064948, -0.369329, 0.257933, 0.613180, 0.273357, 0.000000, 0.000000, 0.000000, 0.000000], [0.353427, 0.623818, -0.370090, 0.216087, -0.434948, -0.336304, 0.000000, 0.000000, 0.000000, 0.000000], [-0.272936, 0.504736, 0.248221, 0.031636, 0.645251, -0.437931, 0.000000, 0.000000, 0.000000, 0.000000], [0.660269, -0.128607, 0.670468, -0.123320, -0.062571, -0.280809, 0.000000, 0.000000, 0.000000, 0.000000], [-0.148882, -0.202916, 0.238083, 0.930283, -0.093319, -0.076428, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.516491, 1.574537, 1.656751, 1.872151, 44.078689], [31.554932, 35.590991, 37.650175, 46.998546, 134.944965], [19.495204, 21.240468, 23.176301, 27.798155, 82.529287], [14.280800, 16.728642, 17.248475, 22.484650, 113.188134], [35.988103, 39.876528, 43.130800, 53.438893, 141.212587], [8.213360, 8.806428, 9.529765, 11.750677, 93.797579]]
### 6
mean: [0.150295, 1.295792, 1.379570, -1.033496, -0.537654, 0.380776]
std: [0.063217, 1.963074, 2.125748, 0.913482, 0.705414, 0.909231]
pca: [[0.019051, -0.307884, 0.777120, 0.054510, 0.261998, 0.478868, 0.000000, 0.000000, 0.000000, 0.000000], [0.604828, 0.064006, -0.287020, -0.433756, -0.105930, 0.590204, 0.000000, 0.000000, 0.000000, 0.000000], [0.654939, 0.445410, 0.255243, 0.509439, 0.012465, -0.218707, 0.000000, 0.000000, 0.000000, 0.000000], [-0.281440, 0.163557, -0.357542, 0.647424, 0.069198, 0.585028, 0.000000, 0.000000, 0.000000, 0.000000], [-0.217272, 0.672885, 0.060631, -0.335961, 0.617747, 0.043137, 0.000000, 0.000000, 0.000000, 0.000000], [0.280107, -0.472435, -0.342115, 0.131640, 0.730466, -0.174336, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[0.979117, 1.007810, 1.159052, 1.501242, 13.526567], [30.060703, 33.721051, 36.074452, 44.854491, 116.621230], [32.566981, 36.568666, 38.989492, 48.484623, 124.161334], [13.937879, 15.747208, 16.701595, 20.926761, 93.014663], [10.713407, 12.130393, 12.925201, 16.289379, 48.388899], [13.872651, 15.603358, 16.719681, 20.897112, 34.269863]]
### 8
mean: [-0.977731, -0.562484, 0.716608, 0.979927, -0.870203, -0.591365]
std: [1.699167, 0.202051, 0.885853, 1.462140, 1.642659, 0.767665]
pca: [[0.562097, -0.260444, 0.300666, -0.611098, 0.241273, 0.306858, 0.000000, 0.000000, 0.000000, 0.000000], [0.066736, 0.624692, 0.293660, 0.333428, 0.512202, 0.381505, 0.000000, 0.000000, 0.000000, 0.000000], [-0.293037, -0.411400, -0.478101, 0.015337, 0.706278, 0.131277, 0.000000, 0.000000, 0.000000, 0.000000], [-0.483680, -0.461812, 0.654558, 0.185339, -0.084136, 0.287938, 0.000000, 0.000000, 0.000000, 0.000000], [0.543402, -0.369213, 0.154177, 0.612651, 0.171016, -0.374217, 0.000000, 0.000000, 0.000000, 0.000000], [0.253948, -0.151955, -0.377581, 0.324743, -0.379845, 0.721188, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.536670, 29.526146, 30.889429, 39.284157, 87.995739], [2.983231, 3.562168, 3.593347, 4.732421, 50.623571], [13.231687, 15.462824, 16.019870, 20.535423, 64.494687], [21.822468, 25.525440, 26.480733, 33.885240, 88.193407], [24.688374, 28.533686, 29.898900, 37.964941, 78.318296], [11.521268, 13.346609, 13.967735, 17.748358, 53.222819]]
### 10
mean: [-0.389239]
std: [0.681014]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.258743, 11.814709, 12.405661, 15.723652, 35.031509]]
## 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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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6843872666358948, "train_acc": 0.535, "val_loss": 0.7454730272293091, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6659106016159058, "train_acc": 0.565, "val_loss": 0.6985642313957214, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6475881040096283, "train_acc": 0.5, "val_loss": 0.5963349342346191, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5361855179071426, "train_acc": 0.76, "val_loss": 0.7831796407699585, "val_acc": 0.52}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5187754184007645, "train_acc": 0.735, "val_loss": 0.5128053426742554, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.44581881165504456, "train_acc": 0.77, "val_loss": 0.537696897983551, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4914494454860687, "train_acc": 0.775, "val_loss": 0.5290140509605408, "val_acc": 0.74}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.44420917332172394, "train_acc": 0.79, "val_loss": 0.583353579044342, "val_acc": 0.66}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.7454730272293091, "final_val_loss": 0.6985642313957214, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5963349342346191, "final_val_loss": 0.583353579044342, "initial_val_acc": 0.74, "final_val_acc": 0.66, "best_val_acc": 0.74, "best_epoch": 2}, "improvement": 0.24, "first_improvement_epoch": 1}}
|
9,632
|
{"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": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4616, "learning_rate": 0.017186171209772245, "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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"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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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [0.989786, 1.306493, 2.832735, 1.435376, -1.150280, 1.208902, 0.664038, 2.491787]
std: [1.402054, 1.187459, 1.731415, 1.631114, 1.083147, 1.450585, 0.986582, 1.469465]
pca: [[0.044835, -0.449538, 0.621497, -0.180911, 0.225999, 0.326207, 0.206494, 0.420466, 0.000000, 0.000000], [0.176535, 0.038566, 0.564873, 0.425546, 0.020535, -0.625318, -0.274426, -0.020571, 0.000000, 0.000000], [0.631722, -0.116332, -0.032179, -0.339478, 0.463421, -0.072123, 0.033873, -0.500005, 0.000000, 0.000000], [0.315628, 0.700583, -0.012961, -0.195085, 0.171388, -0.096647, 0.163901, 0.552954, 0.000000, 0.000000], [-0.221235, -0.133382, -0.294370, 0.473215, 0.653830, -0.169461, 0.393914, 0.106294, 0.000000, 0.000000], [0.312495, -0.473442, -0.450271, -0.030626, -0.054423, -0.203505, -0.418070, 0.505330, 0.000000, 0.000000], [0.244474, 0.188410, 0.016138, 0.505703, 0.199133, 0.641430, -0.444238, -0.017400, 0.000000, 0.000000], [0.511631, -0.121003, -0.061624, 0.390220, -0.484005, 0.080373, 0.571613, -0.007870, 0.000000, 0.000000]]
fourier: [[24.077963, 24.957478, 27.461289, 28.849105, 89.080743], [18.963198, 19.116058, 22.174516, 23.814637, 117.584328], [28.612967, 28.638238, 31.246239, 33.584674, 254.946157], [21.996972, 24.056844, 24.605175, 32.380908, 129.183866], [15.527929, 15.842894, 18.394203, 22.960349, 103.525182], [22.520215, 22.732513, 24.167569, 24.769107, 108.801132], [14.834351, 16.089237, 17.329206, 18.104764, 59.763443], [23.383404, 24.422680, 27.678573, 28.971047, 224.260818]]
### 2
mean: [2.421176, -1.098011, 2.117351, 1.715754, -1.195634, 3.164318, 1.516352, 2.061905]
std: [1.543742, 0.833787, 1.493875, 1.069164, 0.749694, 1.638312, 1.051218, 1.614049]
pca: [[0.477481, -0.232233, -0.266035, 0.081066, 0.394520, -0.384023, -0.573366, 0.094156, 0.000000, 0.000000], [-0.191148, -0.314764, -0.140152, 0.397441, 0.491502, 0.498248, 0.021215, -0.443293, 0.000000, 0.000000], [0.414200, -0.402160, 0.344859, 0.044958, -0.476940, 0.482043, -0.290735, 0.037310, 0.000000, 0.000000], [0.290869, -0.315350, 0.065222, 0.527032, -0.013874, -0.265486, 0.626252, 0.266582, 0.000000, 0.000000], [-0.215657, -0.053697, 0.426559, -0.099667, 0.481284, 0.222485, -0.074888, 0.687008, 0.000000, 0.000000], [0.507096, 0.197378, -0.439580, -0.368397, 0.176191, 0.446484, 0.343261, 0.163491, 0.000000, 0.000000], [0.306197, -0.043595, 0.587845, -0.380924, 0.326746, -0.191128, 0.221631, -0.470388, 0.000000, 0.000000], [0.286178, 0.736255, 0.256235, 0.514715, 0.075324, 0.126687, -0.146718, -0.046833, 0.000000, 0.000000]]
fourier: [[22.360695, 24.606468, 25.701744, 29.933927, 217.905828], [13.641576, 13.810335, 13.960894, 17.340816, 98.820996], [23.465508, 23.897691, 25.281347, 27.500540, 190.561582], [16.343165, 17.821833, 18.540190, 19.240876, 154.417854], [10.972766, 11.431806, 11.826747, 14.222926, 107.607032], [23.954240, 25.100001, 28.289735, 28.902803, 284.788607], [17.153947, 17.439633, 17.870749, 18.172743, 136.471649], [24.971761, 27.768613, 29.120108, 29.883602, 185.571446]]
### 4
mean: [0.884464, 2.041950, -0.343284, -1.777194, 1.822426, 3.408142, 1.115060, 3.141026]
std: [0.855284, 1.622406, 0.430408, 0.947194, 1.248419, 1.706912, 1.026747, 2.082483]
pca: [[0.071560, 0.414751, 0.374605, -0.114014, 0.013413, 0.158957, 0.253173, 0.761569, 0.000000, 0.000000], [0.462181, -0.328079, -0.055093, 0.287381, 0.310797, -0.340741, 0.613121, 0.067190, 0.000000, 0.000000], [-0.077123, -0.175598, 0.143592, 0.461477, -0.620903, 0.464365, 0.344454, -0.099163, 0.000000, 0.000000], [-0.253392, -0.243044, 0.132518, 0.019478, 0.672087, 0.628357, 0.080572, -0.075871, 0.000000, 0.000000], [0.151743, 0.580007, -0.332458, -0.292975, 0.021291, 0.232026, 0.467003, -0.414513, 0.000000, 0.000000], [0.522000, 0.136295, 0.702539, 0.010843, 0.045486, 0.044833, -0.216221, -0.405500, 0.000000, 0.000000], [0.179873, 0.426790, -0.298001, 0.724320, 0.209321, 0.107191, -0.329815, 0.089270, 0.000000, 0.000000], [0.619070, -0.305461, -0.354347, -0.283692, -0.140233, 0.425236, -0.247436, 0.235980, 0.000000, 0.000000]]
fourier: [[13.985518, 14.250432, 14.266763, 14.928556, 79.601780], [25.765819, 26.075823, 28.488757, 30.256505, 183.775461], [6.694633, 7.744802, 7.894877, 7.931024, 30.895549], [14.425370, 14.719888, 16.113029, 18.801524, 159.947428], [21.060012, 21.426216, 21.471067, 23.078268, 164.018321], [26.753419, 27.499039, 28.697792, 30.089882, 306.732823], [16.555298, 17.651271, 17.936406, 19.272826, 100.355404], [33.551089, 33.564760, 36.328303, 38.103818, 282.692383]]
### 6
mean: [0.423092, -0.277126, -1.237482, 0.809250, 2.107997, 0.100573, 2.546141, 1.113663]
std: [1.252644, 0.602167, 0.795826, 0.918031, 1.159458, 0.966476, 1.969665, 1.446443]
pca: [[-0.417918, 0.205181, 0.674699, 0.051665, 0.159358, 0.530655, 0.120565, 0.061907, 0.000000, 0.000000], [-0.211651, 0.010159, -0.030809, -0.602436, 0.572749, -0.265849, -0.123483, 0.421019, 0.000000, 0.000000], [0.018344, -0.419435, -0.352508, -0.133788, 0.152692, 0.428469, 0.685791, 0.066081, 0.000000, 0.000000], [-0.202632, 0.378514, -0.055636, 0.309694, 0.383916, -0.455142, 0.499903, -0.334980, 0.000000, 0.000000], [0.201584, 0.533740, 0.023253, -0.157028, -0.443244, -0.082194, 0.400939, 0.534147, 0.000000, 0.000000], [-0.338213, 0.045284, -0.402615, 0.604984, 0.106396, 0.120656, -0.203001, 0.537000, 0.000000, 0.000000], [0.638010, 0.408770, -0.119408, 0.073817, 0.479418, 0.386345, -0.157658, -0.046721, 0.000000, 0.000000], [-0.420799, 0.429623, -0.489466, -0.352817, -0.195524, 0.293962, -0.152268, -0.355621, 0.000000, 0.000000]]
fourier: [[20.639853, 20.979028, 22.060704, 24.064976, 38.078251], [9.457271, 9.810738, 9.949670, 10.605622, 24.941305], [12.190270, 12.448136, 13.762357, 15.196147, 111.373373], [15.097464, 15.651849, 15.929722, 16.718265, 72.832540], [18.479365, 18.627343, 18.792217, 19.405218, 189.719792], [14.555909, 14.725223, 16.001949, 16.077426, 17.631028], [31.403714, 32.435162, 33.988784, 36.740799, 229.152691], [22.807018, 23.039569, 24.920354, 25.597711, 100.229645]]
### 8
mean: [1.332769, 1.173051, 1.415598, 1.048775, 1.789128, -0.180104, -0.639733, 0.640933]
std: [1.624256, 1.047026, 1.807632, 1.440913, 1.435783, 1.065942, 0.567148, 1.397762]
pca: [[0.447949, 0.278484, -0.297241, 0.270456, 0.080175, 0.597648, 0.310966, -0.316195, 0.000000, 0.000000], [0.287866, 0.183563, 0.315439, 0.632024, 0.134523, 0.000382, -0.408068, 0.447064, 0.000000, 0.000000], [0.509061, 0.187634, 0.601794, -0.312603, -0.074004, -0.208495, -0.078443, -0.436661, 0.000000, 0.000000], [-0.339663, 0.541139, 0.069309, -0.225203, 0.720057, 0.072131, -0.102935, -0.044693, 0.000000, 0.000000], [0.353386, 0.482193, -0.421733, -0.257416, -0.145393, -0.420888, 0.153592, 0.420251, 0.000000, 0.000000], [0.276733, -0.294478, 0.130744, -0.531287, 0.143312, 0.513674, -0.064943, 0.498724, 0.000000, 0.000000], [0.115005, -0.264163, 0.244377, 0.174312, 0.426709, -0.276447, 0.736762, 0.159892, 0.000000, 0.000000], [-0.356753, 0.414373, 0.436478, 0.007013, -0.477242, 0.276973, 0.386530, 0.237870, 0.000000, 0.000000]]
fourier: [[25.831771, 26.965139, 28.895295, 30.503515, 119.949226], [16.320287, 17.519125, 19.292957, 19.805828, 105.574608], [26.622795, 29.221145, 33.431383, 33.899216, 127.403786], [23.557747, 23.920560, 24.248961, 25.248195, 94.389708], [22.019984, 24.090116, 24.961984, 27.715807, 161.021565], [16.861146, 17.215350, 17.234348, 18.311889, 18.771732], [9.498138, 10.011299, 10.374207, 10.520903, 57.575975], [23.220464, 23.783056, 23.820700, 24.262128, 57.683947]]
### 10
mean: [-1.193109]
std: [2.116569]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.337045, 34.795363, 37.393646, 37.891498, 107.379769]]
## 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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[
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[
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"network.6.weight": [
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"network.10.bias": [
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}
## Activation Signature
### 0
mean: [0.989786, 1.306493, 2.832735, 1.435376, -1.150280, 1.208902, 0.664038, 2.491787]
std: [1.402054, 1.187459, 1.731415, 1.631114, 1.083147, 1.450585, 0.986582, 1.469465]
pca: [[0.044835, -0.449538, 0.621497, -0.180911, 0.225999, 0.326207, 0.206494, 0.420466, 0.000000, 0.000000], [0.176535, 0.038566, 0.564873, 0.425546, 0.020535, -0.625318, -0.274426, -0.020571, 0.000000, 0.000000], [0.631722, -0.116332, -0.032179, -0.339478, 0.463421, -0.072123, 0.033873, -0.500005, 0.000000, 0.000000], [0.315628, 0.700583, -0.012961, -0.195085, 0.171388, -0.096647, 0.163901, 0.552954, 0.000000, 0.000000], [-0.221235, -0.133382, -0.294370, 0.473215, 0.653830, -0.169461, 0.393914, 0.106294, 0.000000, 0.000000], [0.312495, -0.473442, -0.450271, -0.030626, -0.054423, -0.203505, -0.418070, 0.505330, 0.000000, 0.000000], [0.244474, 0.188410, 0.016138, 0.505703, 0.199133, 0.641430, -0.444238, -0.017400, 0.000000, 0.000000], [0.511631, -0.121003, -0.061624, 0.390220, -0.484005, 0.080373, 0.571613, -0.007870, 0.000000, 0.000000]]
fourier: [[24.077963, 24.957478, 27.461289, 28.849105, 89.080743], [18.963198, 19.116058, 22.174516, 23.814637, 117.584328], [28.612967, 28.638238, 31.246239, 33.584674, 254.946157], [21.996972, 24.056844, 24.605175, 32.380908, 129.183866], [15.527929, 15.842894, 18.394203, 22.960349, 103.525182], [22.520215, 22.732513, 24.167569, 24.769107, 108.801132], [14.834351, 16.089237, 17.329206, 18.104764, 59.763443], [23.383404, 24.422680, 27.678573, 28.971047, 224.260818]]
### 2
mean: [2.421176, -1.098011, 2.117351, 1.715754, -1.195634, 3.164318, 1.516352, 2.061905]
std: [1.543742, 0.833787, 1.493875, 1.069164, 0.749694, 1.638312, 1.051218, 1.614049]
pca: [[0.477481, -0.232233, -0.266035, 0.081066, 0.394520, -0.384023, -0.573366, 0.094156, 0.000000, 0.000000], [-0.191148, -0.314764, -0.140152, 0.397441, 0.491502, 0.498248, 0.021215, -0.443293, 0.000000, 0.000000], [0.414200, -0.402160, 0.344859, 0.044958, -0.476940, 0.482043, -0.290735, 0.037310, 0.000000, 0.000000], [0.290869, -0.315350, 0.065222, 0.527032, -0.013874, -0.265486, 0.626252, 0.266582, 0.000000, 0.000000], [-0.215657, -0.053697, 0.426559, -0.099667, 0.481284, 0.222485, -0.074888, 0.687008, 0.000000, 0.000000], [0.507096, 0.197378, -0.439580, -0.368397, 0.176191, 0.446484, 0.343261, 0.163491, 0.000000, 0.000000], [0.306197, -0.043595, 0.587845, -0.380924, 0.326746, -0.191128, 0.221631, -0.470388, 0.000000, 0.000000], [0.286178, 0.736255, 0.256235, 0.514715, 0.075324, 0.126687, -0.146718, -0.046833, 0.000000, 0.000000]]
fourier: [[22.360695, 24.606468, 25.701744, 29.933927, 217.905828], [13.641576, 13.810335, 13.960894, 17.340816, 98.820996], [23.465508, 23.897691, 25.281347, 27.500540, 190.561582], [16.343165, 17.821833, 18.540190, 19.240876, 154.417854], [10.972766, 11.431806, 11.826747, 14.222926, 107.607032], [23.954240, 25.100001, 28.289735, 28.902803, 284.788607], [17.153947, 17.439633, 17.870749, 18.172743, 136.471649], [24.971761, 27.768613, 29.120108, 29.883602, 185.571446]]
### 4
mean: [0.884464, 2.041950, -0.343284, -1.777194, 1.822426, 3.408142, 1.115060, 3.141026]
std: [0.855284, 1.622406, 0.430408, 0.947194, 1.248419, 1.706912, 1.026747, 2.082483]
pca: [[0.071560, 0.414751, 0.374605, -0.114014, 0.013413, 0.158957, 0.253173, 0.761569, 0.000000, 0.000000], [0.462181, -0.328079, -0.055093, 0.287381, 0.310797, -0.340741, 0.613121, 0.067190, 0.000000, 0.000000], [-0.077123, -0.175598, 0.143592, 0.461477, -0.620903, 0.464365, 0.344454, -0.099163, 0.000000, 0.000000], [-0.253392, -0.243044, 0.132518, 0.019478, 0.672087, 0.628357, 0.080572, -0.075871, 0.000000, 0.000000], [0.151743, 0.580007, -0.332458, -0.292975, 0.021291, 0.232026, 0.467003, -0.414513, 0.000000, 0.000000], [0.522000, 0.136295, 0.702539, 0.010843, 0.045486, 0.044833, -0.216221, -0.405500, 0.000000, 0.000000], [0.179873, 0.426790, -0.298001, 0.724320, 0.209321, 0.107191, -0.329815, 0.089270, 0.000000, 0.000000], [0.619070, -0.305461, -0.354347, -0.283692, -0.140233, 0.425236, -0.247436, 0.235980, 0.000000, 0.000000]]
fourier: [[13.985518, 14.250432, 14.266763, 14.928556, 79.601780], [25.765819, 26.075823, 28.488757, 30.256505, 183.775461], [6.694633, 7.744802, 7.894877, 7.931024, 30.895549], [14.425370, 14.719888, 16.113029, 18.801524, 159.947428], [21.060012, 21.426216, 21.471067, 23.078268, 164.018321], [26.753419, 27.499039, 28.697792, 30.089882, 306.732823], [16.555298, 17.651271, 17.936406, 19.272826, 100.355404], [33.551089, 33.564760, 36.328303, 38.103818, 282.692383]]
### 6
mean: [0.423092, -0.277126, -1.237482, 0.809250, 2.107997, 0.100573, 2.546141, 1.113663]
std: [1.252644, 0.602167, 0.795826, 0.918031, 1.159458, 0.966476, 1.969665, 1.446443]
pca: [[-0.417918, 0.205181, 0.674699, 0.051665, 0.159358, 0.530655, 0.120565, 0.061907, 0.000000, 0.000000], [-0.211651, 0.010159, -0.030809, -0.602436, 0.572749, -0.265849, -0.123483, 0.421019, 0.000000, 0.000000], [0.018344, -0.419435, -0.352508, -0.133788, 0.152692, 0.428469, 0.685791, 0.066081, 0.000000, 0.000000], [-0.202632, 0.378514, -0.055636, 0.309694, 0.383916, -0.455142, 0.499903, -0.334980, 0.000000, 0.000000], [0.201584, 0.533740, 0.023253, -0.157028, -0.443244, -0.082194, 0.400939, 0.534147, 0.000000, 0.000000], [-0.338213, 0.045284, -0.402615, 0.604984, 0.106396, 0.120656, -0.203001, 0.537000, 0.000000, 0.000000], [0.638010, 0.408770, -0.119408, 0.073817, 0.479418, 0.386345, -0.157658, -0.046721, 0.000000, 0.000000], [-0.420799, 0.429623, -0.489466, -0.352817, -0.195524, 0.293962, -0.152268, -0.355621, 0.000000, 0.000000]]
fourier: [[20.639853, 20.979028, 22.060704, 24.064976, 38.078251], [9.457271, 9.810738, 9.949670, 10.605622, 24.941305], [12.190270, 12.448136, 13.762357, 15.196147, 111.373373], [15.097464, 15.651849, 15.929722, 16.718265, 72.832540], [18.479365, 18.627343, 18.792217, 19.405218, 189.719792], [14.555909, 14.725223, 16.001949, 16.077426, 17.631028], [31.403714, 32.435162, 33.988784, 36.740799, 229.152691], [22.807018, 23.039569, 24.920354, 25.597711, 100.229645]]
### 8
mean: [1.332769, 1.173051, 1.415598, 1.048775, 1.789128, -0.180104, -0.639733, 0.640933]
std: [1.624256, 1.047026, 1.807632, 1.440913, 1.435783, 1.065942, 0.567148, 1.397762]
pca: [[0.447949, 0.278484, -0.297241, 0.270456, 0.080175, 0.597648, 0.310966, -0.316195, 0.000000, 0.000000], [0.287866, 0.183563, 0.315439, 0.632024, 0.134523, 0.000382, -0.408068, 0.447064, 0.000000, 0.000000], [0.509061, 0.187634, 0.601794, -0.312603, -0.074004, -0.208495, -0.078443, -0.436661, 0.000000, 0.000000], [-0.339663, 0.541139, 0.069309, -0.225203, 0.720057, 0.072131, -0.102935, -0.044693, 0.000000, 0.000000], [0.353386, 0.482193, -0.421733, -0.257416, -0.145393, -0.420888, 0.153592, 0.420251, 0.000000, 0.000000], [0.276733, -0.294478, 0.130744, -0.531287, 0.143312, 0.513674, -0.064943, 0.498724, 0.000000, 0.000000], [0.115005, -0.264163, 0.244377, 0.174312, 0.426709, -0.276447, 0.736762, 0.159892, 0.000000, 0.000000], [-0.356753, 0.414373, 0.436478, 0.007013, -0.477242, 0.276973, 0.386530, 0.237870, 0.000000, 0.000000]]
fourier: [[25.831771, 26.965139, 28.895295, 30.503515, 119.949226], [16.320287, 17.519125, 19.292957, 19.805828, 105.574608], [26.622795, 29.221145, 33.431383, 33.899216, 127.403786], [23.557747, 23.920560, 24.248961, 25.248195, 94.389708], [22.019984, 24.090116, 24.961984, 27.715807, 161.021565], [16.861146, 17.215350, 17.234348, 18.311889, 18.771732], [9.498138, 10.011299, 10.374207, 10.520903, 57.575975], [23.220464, 23.783056, 23.820700, 24.262128, 57.683947]]
### 10
mean: [-1.193109]
std: [2.116569]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.337045, 34.795363, 37.393646, 37.891498, 107.379769]]
## 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": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.167558, -0.228462, 0.580381, -0.218228, 0.104021], [-0.17398, -0.149936, 0.333201, 0.102551, 0.468474], [0.083843, 0.493288, 0.448936, 0.333092, -0.079934], [-0.563165, 0.225945, 0.175226, 0.50402, -0.125735], [0.008848, 0.261617, -0.446654, -0.395702, 0.265894], [0.548494, 0.380536, -0.124162, 0.060057, -0.046511], [-0.186769, 0.225584, -0.056659, 0.185649, 0.391843], [0.262369, 0.189879, 0.046415, 0.424706, 0.315397]], "network.0.bias": [0.324912, 0.302498, 0.276027, 0.432683, -0.184379, 0.020845, -0.277638, 0.422579], "network.2.weight": [[0.305304, 0.466238, 0.342093, 0.375067, 0.030405, -0.222422, 0.098861, 0.139142], [0.035556, -0.064842, -0.272736, 0.251718, 0.149465, -0.027901, 0.210864, -0.354524], [-0.023003, 0.367654, 0.309482, 0.166109, 0.478499, -0.448863, 0.444201, 0.273583], [0.061354, 0.235216, 0.295958, 0.15742, 0.020184, -0.326698, 0.438214, 0.000583], [-0.124077, -0.252194, -0.388384, 0.045178, -0.017137, 0.170605, 0.245237, -0.053338], [0.414058, 0.423069, 0.460948, 0.116929, -0.162061, 0.011537, -0.199919, 0.257065], [-0.088582, 0.304721, 0.054096, 0.132517, -0.148234, 0.121139, 0.307699, 0.251786], [0.149643, -0.217979, 0.487831, -0.388549, -0.15395, 0.350212, 0.01224, 0.296415]], "network.2.bias": [-0.148986, 0.088715, 0.150568, 0.383346, 0.033656, 0.22536, -0.087224, 0.265418], "network.4.weight": [[-0.087274, 0.030371, -0.094357, -0.059088, -0.383047, 0.067347, 0.116068, 0.455573], [0.420842, 0.195783, 0.185738, 0.231498, 0.003813, 0.1416, 0.348548, -0.280962], [-0.2175, 0.28859, 0.162043, -0.019644, 0.217704, 0.052947, -0.020898, -0.242958], [-0.050589, -0.02408, -0.194168, 0.104951, -0.372097, -0.200209, -0.033374, -0.300467], [-0.206626, -0.148026, -0.210777, 0.01894, -0.363097, 0.397509, 0.084717, 0.520536], [0.329311, -0.498628, 0.195783, 0.05685, 0.019515, 0.089501, 0.479875, 0.301391], [0.080887, 0.326867, -0.155087, -0.334926, -0.012469, 0.327099, 0.293582, 0.283672], [0.347212, -0.33971, 0.414729, 0.27875, -0.392519, 0.357561, 0.224226, -0.219499]], "network.4.bias": [0.069213, -0.087597, 0.27033, -0.199899, 0.269017, 0.509849, -0.177022, -0.082347], "network.6.weight": [[0.350463, 0.11669, -0.008979, -0.137959, 0.500441, -0.339825, 0.439519, -0.195594], [0.348207, -0.0998, -0.117751, -0.105663, 0.266819, -0.127994, -0.142339, -0.021582], [0.317738, -0.15951, 0.121366, -0.180735, -0.350797, -0.201451, -0.291861, 0.099576], [0.508571, 0.095807, -0.386899, 0.002354, 0.300492, 0.037462, 0.044571, -0.087675], [0.002077, 0.00123, -0.525883, -0.148775, -0.051342, 0.209198, 0.202153, 0.337113], [0.314393, -0.136668, 0.236126, 0.115962, 0.302422, 0.241362, -0.139135, -0.364186], [-0.377005, 0.427203, 0.24702, -0.235617, -0.043251, 0.187719, -0.365019, 0.454145], [0.544612, -0.460766, -0.27077, -0.421217, 0.438782, 0.389778, -0.020196, -0.090928]], "network.6.bias": [0.340269, -0.180486, 0.108273, -0.226463, 0.185312, 0.090081, 0.388838, -0.207768], "network.8.weight": [[-0.398651, -0.015413, 0.314317, -0.439093, 0.372842, 0.064328, 0.46977, 0.046403], [-0.459148, -0.302915, -0.050366, -0.129148, 0.23592, 0.017551, 0.251908, 0.120743], [-0.257242, -0.294396, -0.142293, 0.045082, 0.413633, -0.427592, 0.32452, -0.346883], [0.026444, -0.205247, 0.136065, 0.408491, 0.208054, 0.304778, -0.152235, 0.509026], [-0.286902, 0.077185, -0.0236, 0.090071, 0.427029, 0.15922, 0.439987, -0.131176], [0.207541, -0.143901, 0.243149, -0.336344, -0.038771, -0.393364, 0.127726, -0.385379], [-0.030459, -0.095336, 0.188549, -0.147182, -0.23416, -0.232936, 0.080493, -0.080215], [-0.011717, 0.158893, -0.406847, 0.457045, 0.311692, 0.007486, -0.365092, 0.398451]], "network.8.bias": [-0.11912, 0.267428, 0.341244, 0.077492, -0.022678, 0.256686, -0.063989, 0.136261], "network.10.weight": [[-0.191948, -0.323871, -0.522097, 0.223967, -0.143259, -0.312841, -0.080875, 0.417784]], "network.10.bias": [0.114287]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6986871957778931, "train_acc": 0.42, "val_loss": 0.684217095375061, "val_acc": 0.76}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.680025041103363, "train_acc": 0.705, "val_loss": 0.6654146313667297, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.645369291305542, "train_acc": 0.57, "val_loss": 0.6137279272079468, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5637889802455902, "train_acc": 0.68, "val_loss": 0.4735943675041199, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.3985108435153961, "train_acc": 0.93, "val_loss": 0.3141288459300995, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.2899674028158188, "train_acc": 0.92, "val_loss": 0.2084278166294098, "val_acc": 0.98}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3063705638051033, "train_acc": 0.92, "val_loss": 0.18166126310825348, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.30113424360752106, "train_acc": 0.92, "val_loss": 0.1868186593055725, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2304910123348236, "train_acc": 0.925, "val_loss": 0.15518002212047577, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.21394234895706177, "train_acc": 0.93, "val_loss": 0.16836418211460114, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.21824242919683456, "train_acc": 0.93, "val_loss": 0.1941002607345581, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.23194745182991028, "train_acc": 0.935, "val_loss": 0.21973629295825958, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 3, "improved_epochs": 9, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.684217095375061, "final_val_loss": 0.6137279272079468, "initial_val_acc": 0.76, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.4735943675041199, "final_val_loss": 0.21973629295825958, "initial_val_acc": 0.92, "final_val_acc": 0.94, "best_val_acc": 0.98, "best_epoch": 5}, "improvement": 0.45999999999999996, "first_improvement_epoch": 2}}
|
9,633
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.54, "improved_accuracy": 0.82, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7289, "learning_rate": 0.06857910730748161, "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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-0.132189
],
[
0.069918,
-0.704887,
0.021849,
0.082446,
-0.291299,
-0.225629,
0.096098,
0.237606
],
[
-0.495663,
0.06131,
0.051011,
-0.333357,
0.034724,
0.047166,
-0.216178,
0.117027
],
[
0.069907,
-0.348702,
0.570073,
0.186084,
-0.404188,
0.321045,
-0.075251,
0.172829
],
[
-0.466354,
-0.411158,
-0.296202,
-0.330322,
-0.010347,
0.12785,
0.098131,
0.03784
],
[
0.014917,
0.47589,
0.117264,
-0.296756,
0.57463,
-0.093737,
-0.022502,
0.100562
],
[
-0.140504,
-0.336133,
0.24858,
-0.097547,
0.109754,
-0.147343,
0.33273,
0.285683
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0.051496,
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0.233733,
-0.260306,
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]
],
"network.6.bias": [
0.842131,
1.059956,
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],
"network.8.weight": [
[
0.607804,
0.712774,
-0.189786,
0.073204,
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[
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[
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[
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[
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0.005,
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[
0.433395,
0.415726,
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],
[
1.002299,
0.849608,
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-0.01588,
-0.122376,
-0.380878,
0.328586,
0.011726
]
],
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0.657364,
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[
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[
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[
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[
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[
0.853198,
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0.732598,
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0.402125,
0.883676
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[
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[
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[
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],
"network.12.bias": [
0.081543
]
}
## Activation Signature
### 0
mean: [-0.321002, -0.586671, 0.315341, -0.647154, 0.761617, 1.029291, 1.626949, 1.626117]
std: [2.111102, 2.184724, 2.084983, 1.771407, 1.642450, 1.209751, 1.944072, 1.746809]
pca: [[0.478801, 0.097638, -0.072532, 0.238690, -0.057732, 0.740467, -0.328733, -0.198223, 0.000000, 0.000000], [0.468482, -0.104011, 0.148779, 0.609401, -0.056431, -0.548603, -0.002856, -0.268408, 0.000000, 0.000000], [0.425193, 0.388351, -0.171899, -0.232745, 0.734107, -0.159414, 0.031708, 0.139082, 0.000000, 0.000000], [-0.112371, 0.545676, 0.748965, -0.075583, -0.067358, -0.062044, -0.337911, -0.019472, 0.000000, 0.000000], [0.262914, 0.515840, -0.226037, 0.021558, -0.574209, -0.052052, 0.340366, 0.406145, 0.000000, 0.000000], [-0.234392, -0.032039, -0.097545, 0.523875, 0.182811, 0.006084, -0.384603, 0.691879, 0.000000, 0.000000], [-0.336374, 0.413798, -0.560524, 0.074755, -0.079601, -0.214356, -0.399048, -0.429329, 0.000000, 0.000000], [-0.347342, 0.304505, 0.085511, 0.480911, 0.283830, 0.269788, 0.594752, -0.202405, 0.000000, 0.000000]]
fourier: [[35.280753, 35.693052, 37.317762, 38.412089, 48.909115], [32.111217, 35.815121, 44.249961, 52.748983, 52.800394], [29.068332, 32.009528, 37.480851, 40.770741, 44.445949], [26.993643, 27.225234, 28.416733, 29.900845, 58.243871], [24.881367, 26.922249, 28.241039, 32.403919, 68.545501], [18.687075, 19.051114, 22.459356, 27.740358, 92.636157], [30.479548, 35.634729, 37.112278, 41.873103, 146.425373], [28.266526, 30.648363, 31.670234, 32.278007, 146.350526]]
### 2
mean: [1.960472, -0.984942, 0.743016, -1.400750, 0.232630, 1.599346, -1.868493, 0.945877]
std: [2.241524, 0.872796, 1.921019, 1.078159, 2.597616, 2.352849, 0.971985, 2.534873]
pca: [[-0.419421, -0.330512, 0.243891, 0.577858, -0.072791, -0.217448, 0.285859, -0.432605, 0.000000, 0.000000], [0.083371, 0.352567, 0.339185, 0.469544, -0.396813, -0.150178, -0.025284, 0.593780, 0.000000, 0.000000], [0.352548, -0.282743, 0.589964, -0.430598, -0.181514, -0.463837, -0.019511, -0.117564, 0.000000, 0.000000], [-0.076315, 0.482144, 0.371646, 0.037112, 0.761458, -0.197378, 0.009588, -0.057852, 0.000000, 0.000000], [0.507623, -0.125087, 0.368589, 0.245324, 0.105474, 0.694999, 0.117916, -0.150260, 0.000000, 0.000000], [-0.435030, -0.398793, 0.254181, -0.262033, 0.200050, 0.243611, 0.309869, 0.568383, 0.000000, 0.000000], [-0.045408, 0.467510, 0.009126, -0.287238, -0.291769, 0.089308, 0.753478, -0.189603, 0.000000, 0.000000], [0.487880, -0.246585, -0.372483, 0.217863, 0.296987, -0.354562, 0.489408, 0.248041, 0.000000, 0.000000]]
fourier: [[35.680017, 36.952524, 46.172471, 47.330775, 176.442444], [13.702943, 14.472762, 15.406377, 17.535315, 88.644788], [28.525883, 36.671849, 36.813977, 39.068818, 66.871489], [16.091838, 16.376806, 17.754719, 19.720361, 126.067519], [40.699532, 46.136494, 46.725718, 48.670957, 55.731123], [36.930647, 40.057792, 49.281019, 50.630079, 143.941116], [14.517511, 16.265515, 16.654208, 17.111004, 168.164362], [45.176447, 46.215643, 48.321192, 56.229341, 85.128916]]
### 4
mean: [-1.660504, -0.225730, -3.035494, -1.199592, 0.580679, -2.213553, -1.098073, -1.681940]
std: [1.100301, 4.527382, 1.465695, 0.496951, 3.040139, 1.034305, 0.460495, 0.972098]
pca: [[0.156227, 0.314493, -0.099103, 0.301440, -0.250895, -0.044608, 0.290583, 0.791595, 0.000000, 0.000000], [0.813849, 0.053353, -0.030604, -0.322567, 0.243763, -0.336495, -0.225878, 0.078401, 0.000000, 0.000000], [-0.048696, 0.670506, -0.418535, 0.016754, -0.061825, -0.314418, 0.261571, -0.448886, 0.000000, 0.000000], [0.034490, 0.208942, -0.453950, -0.417070, -0.200215, 0.650384, -0.318706, 0.102356, 0.000000, 0.000000], [0.544387, -0.128616, 0.133898, 0.275047, -0.388083, 0.403278, 0.368688, -0.379933, 0.000000, 0.000000], [-0.071247, 0.440139, 0.718763, -0.340818, -0.386312, -0.035835, -0.132750, -0.016763, 0.000000, 0.000000], [-0.003804, 0.212945, 0.216408, -0.250668, 0.646429, 0.371555, 0.533214, 0.068785, 0.000000, 0.000000], [0.090747, 0.386526, 0.163151, 0.613363, 0.340598, 0.246886, -0.506632, -0.076773, 0.000000, 0.000000]]
fourier: [[16.894228, 19.614039, 20.491579, 21.699166, 149.445366], [77.069967, 79.704911, 80.067941, 85.071891, 104.384210], [22.718792, 24.516417, 26.343138, 27.989174, 273.194457], [8.045066, 8.396459, 8.725146, 9.483910, 107.963290], [52.261150, 53.961875, 54.139032, 54.808856, 69.617665], [16.164873, 16.382393, 17.788585, 19.003299, 199.219773], [7.505630, 8.018995, 8.437393, 9.447973, 98.826564], [16.296891, 16.365955, 17.278321, 17.603542, 151.374557]]
### 6
mean: [-0.142186, -0.689051, -0.060664, -1.379667, -0.939654, 1.657972, -0.583036, -1.280439]
std: [1.248127, 2.219072, 0.211597, 1.612877, 0.978629, 2.246765, 0.566522, 1.122879]
pca: [[-0.305297, 0.143741, -0.512839, 0.087910, 0.060145, -0.406902, 0.642111, -0.184139, 0.000000, 0.000000], [-0.542791, 0.296884, -0.029084, -0.332317, -0.114338, -0.280129, -0.560083, -0.317363, 0.000000, 0.000000], [0.051758, -0.009003, 0.036043, -0.107485, 0.979146, -0.101875, -0.104902, -0.065407, 0.000000, 0.000000], [-0.394503, -0.320432, 0.017058, -0.322471, 0.020272, -0.179570, 0.048813, 0.776127, 0.000000, 0.000000], [-0.239312, 0.460062, 0.608878, -0.259878, 0.042624, 0.270272, 0.466369, -0.020971, 0.000000, 0.000000], [0.549545, 0.479005, -0.315630, -0.546480, -0.068315, -0.096631, -0.010073, 0.237036, 0.000000, 0.000000], [-0.138381, 0.588735, -0.092481, 0.608786, 0.095500, 0.045111, -0.206501, 0.448633, 0.000000, 0.000000], [-0.274665, -0.027005, -0.505621, -0.171755, 0.092561, 0.793041, -0.019223, -0.028735, 0.000000, 0.000000]]
fourier: [[17.242373, 18.440726, 19.402251, 22.857758, 26.063668], [32.785929, 34.472196, 40.640452, 46.331742, 62.014592], [3.126346, 3.297919, 3.874645, 4.421300, 5.459802], [23.830320, 25.354134, 29.519633, 33.765747, 124.170047], [14.455442, 15.015245, 17.929096, 20.371040, 84.568855], [33.195933, 35.336540, 41.119951, 47.041419, 149.217436], [8.360846, 8.503667, 10.378285, 11.724347, 52.473202], [16.590744, 17.542746, 20.559083, 23.475276, 115.239491]]
### 8
mean: [0.291111, -0.857048, 0.262341, 0.588647, 1.279329, 0.907740, 0.407835, 0.644922]
std: [1.801309, 0.686692, 0.391253, 0.963782, 0.755826, 1.418675, 0.766352, 1.608329]
pca: [[0.559430, -0.102715, 0.047822, -0.067909, -0.282270, -0.031440, 0.326543, 0.694474, 0.000000, 0.000000], [0.208218, -0.338574, 0.156057, -0.388841, 0.531368, -0.504012, 0.292533, -0.210967, 0.000000, 0.000000], [-0.120171, -0.131143, 0.823387, 0.440526, -0.081495, -0.250008, -0.140920, 0.085604, 0.000000, 0.000000], [-0.299113, 0.097621, 0.330786, -0.355096, -0.388292, 0.244933, 0.628499, -0.244368, 0.000000, 0.000000], [0.213877, 0.706800, 0.148376, -0.358446, -0.207537, -0.415102, -0.286688, -0.081362, 0.000000, 0.000000], [-0.435991, 0.470392, -0.074282, 0.179208, 0.439700, -0.165336, 0.367644, 0.441787, 0.000000, 0.000000], [0.237552, 0.115009, -0.279609, 0.579407, -0.240859, -0.362527, 0.405362, -0.403350, 0.000000, 0.000000], [0.497504, 0.337679, 0.283302, 0.166503, 0.431439, 0.539829, 0.106089, -0.204130, 0.000000, 0.000000]]
fourier: [[26.200004, 26.653833, 27.095284, 35.178484, 41.570909], [10.132762, 10.776938, 12.647816, 14.345076, 77.134364], [5.716193, 6.304128, 7.808654, 9.481609, 23.610714], [14.088497, 14.557677, 18.706741, 22.066915, 52.978241], [10.855382, 13.033261, 14.656649, 18.865187, 115.139579], [20.679870, 21.919977, 26.809261, 30.925733, 81.696597], [11.269277, 11.919099, 15.141514, 18.275902, 36.705119], [23.548722, 25.331966, 31.954019, 38.645113, 58.043003]]
### 10
mean: [-0.248313, -1.693859, -1.591845, -1.650825, -1.298707, 2.313405, -0.573728, -0.553050]
std: [1.259784, 0.637664, 1.257320, 1.038980, 1.194413, 3.407314, 0.355762, 0.354941]
pca: [[-0.294871, 0.477734, -0.319248, 0.003044, -0.299798, 0.513936, -0.037961, 0.476910, 0.000000, 0.000000], [-0.147514, -0.326041, 0.385392, 0.466753, -0.466568, -0.242812, 0.103855, 0.467036, 0.000000, 0.000000], [-0.296628, -0.314115, 0.500105, -0.265871, -0.119292, 0.626917, 0.098252, -0.275033, 0.000000, 0.000000], [-0.242307, -0.441355, -0.442088, -0.523198, -0.417276, -0.255204, -0.195080, -0.003118, 0.000000, 0.000000], [-0.281217, -0.345323, -0.030403, -0.122530, 0.698248, 0.042165, -0.029315, 0.543639, 0.000000, 0.000000], [0.808309, -0.243843, -0.023086, -0.235416, -0.121138, 0.292079, 0.102842, 0.347366, 0.000000, 0.000000], [-0.080389, -0.248557, -0.458981, 0.263611, 0.025628, 0.125108, 0.779509, -0.166310, 0.000000, 0.000000], [0.075378, -0.362653, -0.303127, 0.545696, 0.034696, 0.340614, -0.566563, -0.186859, 0.000000, 0.000000]]
fourier: [[18.208670, 20.196932, 22.348204, 25.267631, 30.542672], [9.085338, 11.034122, 11.886233, 15.792967, 152.447269], [18.087304, 21.638963, 24.378662, 31.416024, 143.266044], [14.788095, 17.952112, 19.695194, 25.817194, 148.574239], [17.163464, 20.567677, 23.114548, 29.778763, 116.883653], [49.368428, 57.112833, 67.913115, 84.558021, 208.206438], [5.337504, 6.099836, 6.409133, 8.638790, 51.635517], [5.191183, 5.390546, 6.773566, 7.674171, 49.774458]]
### 12
mean: [-1.827565]
std: [2.076477]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.813017, 35.699422, 40.348038, 51.775896, 164.480882]]
## 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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[
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0.043663,
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],
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-0.160797,
-0.00603,
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],
[
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0.473019,
0.15954,
-1.020937
],
[
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0.263854,
-0.240778,
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-0.262371
],
[
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0.5607,
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],
[
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],
[
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-0.117035,
0.478984
],
[
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-0.041151,
-0.29055,
0.524445
]
],
"network.0.bias": [
0.495944,
0.555155,
0.545005,
0.086149,
0.806069,
-0.022858,
-0.482552,
0.36634
],
"network.2.weight": [
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[
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[
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-0.1001
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[
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-0.299775,
0.642138,
-0.33096,
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[
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0.03607,
0.824891,
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0.226575,
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],
[
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## Activation Signature
### 0
mean: [-0.321002, -0.586671, 0.315341, -0.647154, 0.761617, 1.029291, 1.626949, 1.626117]
std: [2.111102, 2.184724, 2.084983, 1.771407, 1.642450, 1.209751, 1.944072, 1.746809]
pca: [[0.478801, 0.097638, -0.072532, 0.238690, -0.057732, 0.740467, -0.328733, -0.198223, 0.000000, 0.000000], [0.468482, -0.104011, 0.148779, 0.609401, -0.056431, -0.548603, -0.002856, -0.268408, 0.000000, 0.000000], [0.425193, 0.388351, -0.171899, -0.232745, 0.734107, -0.159414, 0.031708, 0.139082, 0.000000, 0.000000], [-0.112371, 0.545676, 0.748965, -0.075583, -0.067358, -0.062044, -0.337911, -0.019472, 0.000000, 0.000000], [0.262914, 0.515840, -0.226037, 0.021558, -0.574209, -0.052052, 0.340366, 0.406145, 0.000000, 0.000000], [-0.234392, -0.032039, -0.097545, 0.523875, 0.182811, 0.006084, -0.384603, 0.691879, 0.000000, 0.000000], [-0.336374, 0.413798, -0.560524, 0.074755, -0.079601, -0.214356, -0.399048, -0.429329, 0.000000, 0.000000], [-0.347342, 0.304505, 0.085511, 0.480911, 0.283830, 0.269788, 0.594752, -0.202405, 0.000000, 0.000000]]
fourier: [[35.280753, 35.693052, 37.317762, 38.412089, 48.909115], [32.111217, 35.815121, 44.249961, 52.748983, 52.800394], [29.068332, 32.009528, 37.480851, 40.770741, 44.445949], [26.993643, 27.225234, 28.416733, 29.900845, 58.243871], [24.881367, 26.922249, 28.241039, 32.403919, 68.545501], [18.687075, 19.051114, 22.459356, 27.740358, 92.636157], [30.479548, 35.634729, 37.112278, 41.873103, 146.425373], [28.266526, 30.648363, 31.670234, 32.278007, 146.350526]]
### 2
mean: [1.960472, -0.984942, 0.743016, -1.400750, 0.232630, 1.599346, -1.868493, 0.945877]
std: [2.241524, 0.872796, 1.921019, 1.078159, 2.597616, 2.352849, 0.971985, 2.534873]
pca: [[-0.419421, -0.330512, 0.243891, 0.577858, -0.072791, -0.217448, 0.285859, -0.432605, 0.000000, 0.000000], [0.083371, 0.352567, 0.339185, 0.469544, -0.396813, -0.150178, -0.025284, 0.593780, 0.000000, 0.000000], [0.352548, -0.282743, 0.589964, -0.430598, -0.181514, -0.463837, -0.019511, -0.117564, 0.000000, 0.000000], [-0.076315, 0.482144, 0.371646, 0.037112, 0.761458, -0.197378, 0.009588, -0.057852, 0.000000, 0.000000], [0.507623, -0.125087, 0.368589, 0.245324, 0.105474, 0.694999, 0.117916, -0.150260, 0.000000, 0.000000], [-0.435030, -0.398793, 0.254181, -0.262033, 0.200050, 0.243611, 0.309869, 0.568383, 0.000000, 0.000000], [-0.045408, 0.467510, 0.009126, -0.287238, -0.291769, 0.089308, 0.753478, -0.189603, 0.000000, 0.000000], [0.487880, -0.246585, -0.372483, 0.217863, 0.296987, -0.354562, 0.489408, 0.248041, 0.000000, 0.000000]]
fourier: [[35.680017, 36.952524, 46.172471, 47.330775, 176.442444], [13.702943, 14.472762, 15.406377, 17.535315, 88.644788], [28.525883, 36.671849, 36.813977, 39.068818, 66.871489], [16.091838, 16.376806, 17.754719, 19.720361, 126.067519], [40.699532, 46.136494, 46.725718, 48.670957, 55.731123], [36.930647, 40.057792, 49.281019, 50.630079, 143.941116], [14.517511, 16.265515, 16.654208, 17.111004, 168.164362], [45.176447, 46.215643, 48.321192, 56.229341, 85.128916]]
### 4
mean: [-1.660504, -0.225730, -3.035494, -1.199592, 0.580679, -2.213553, -1.098073, -1.681940]
std: [1.100301, 4.527382, 1.465695, 0.496951, 3.040139, 1.034305, 0.460495, 0.972098]
pca: [[0.156227, 0.314493, -0.099103, 0.301440, -0.250895, -0.044608, 0.290583, 0.791595, 0.000000, 0.000000], [0.813849, 0.053353, -0.030604, -0.322567, 0.243763, -0.336495, -0.225878, 0.078401, 0.000000, 0.000000], [-0.048696, 0.670506, -0.418535, 0.016754, -0.061825, -0.314418, 0.261571, -0.448886, 0.000000, 0.000000], [0.034490, 0.208942, -0.453950, -0.417070, -0.200215, 0.650384, -0.318706, 0.102356, 0.000000, 0.000000], [0.544387, -0.128616, 0.133898, 0.275047, -0.388083, 0.403278, 0.368688, -0.379933, 0.000000, 0.000000], [-0.071247, 0.440139, 0.718763, -0.340818, -0.386312, -0.035835, -0.132750, -0.016763, 0.000000, 0.000000], [-0.003804, 0.212945, 0.216408, -0.250668, 0.646429, 0.371555, 0.533214, 0.068785, 0.000000, 0.000000], [0.090747, 0.386526, 0.163151, 0.613363, 0.340598, 0.246886, -0.506632, -0.076773, 0.000000, 0.000000]]
fourier: [[16.894228, 19.614039, 20.491579, 21.699166, 149.445366], [77.069967, 79.704911, 80.067941, 85.071891, 104.384210], [22.718792, 24.516417, 26.343138, 27.989174, 273.194457], [8.045066, 8.396459, 8.725146, 9.483910, 107.963290], [52.261150, 53.961875, 54.139032, 54.808856, 69.617665], [16.164873, 16.382393, 17.788585, 19.003299, 199.219773], [7.505630, 8.018995, 8.437393, 9.447973, 98.826564], [16.296891, 16.365955, 17.278321, 17.603542, 151.374557]]
### 6
mean: [-0.142186, -0.689051, -0.060664, -1.379667, -0.939654, 1.657972, -0.583036, -1.280439]
std: [1.248127, 2.219072, 0.211597, 1.612877, 0.978629, 2.246765, 0.566522, 1.122879]
pca: [[-0.305297, 0.143741, -0.512839, 0.087910, 0.060145, -0.406902, 0.642111, -0.184139, 0.000000, 0.000000], [-0.542791, 0.296884, -0.029084, -0.332317, -0.114338, -0.280129, -0.560083, -0.317363, 0.000000, 0.000000], [0.051758, -0.009003, 0.036043, -0.107485, 0.979146, -0.101875, -0.104902, -0.065407, 0.000000, 0.000000], [-0.394503, -0.320432, 0.017058, -0.322471, 0.020272, -0.179570, 0.048813, 0.776127, 0.000000, 0.000000], [-0.239312, 0.460062, 0.608878, -0.259878, 0.042624, 0.270272, 0.466369, -0.020971, 0.000000, 0.000000], [0.549545, 0.479005, -0.315630, -0.546480, -0.068315, -0.096631, -0.010073, 0.237036, 0.000000, 0.000000], [-0.138381, 0.588735, -0.092481, 0.608786, 0.095500, 0.045111, -0.206501, 0.448633, 0.000000, 0.000000], [-0.274665, -0.027005, -0.505621, -0.171755, 0.092561, 0.793041, -0.019223, -0.028735, 0.000000, 0.000000]]
fourier: [[17.242373, 18.440726, 19.402251, 22.857758, 26.063668], [32.785929, 34.472196, 40.640452, 46.331742, 62.014592], [3.126346, 3.297919, 3.874645, 4.421300, 5.459802], [23.830320, 25.354134, 29.519633, 33.765747, 124.170047], [14.455442, 15.015245, 17.929096, 20.371040, 84.568855], [33.195933, 35.336540, 41.119951, 47.041419, 149.217436], [8.360846, 8.503667, 10.378285, 11.724347, 52.473202], [16.590744, 17.542746, 20.559083, 23.475276, 115.239491]]
### 8
mean: [0.291111, -0.857048, 0.262341, 0.588647, 1.279329, 0.907740, 0.407835, 0.644922]
std: [1.801309, 0.686692, 0.391253, 0.963782, 0.755826, 1.418675, 0.766352, 1.608329]
pca: [[0.559430, -0.102715, 0.047822, -0.067909, -0.282270, -0.031440, 0.326543, 0.694474, 0.000000, 0.000000], [0.208218, -0.338574, 0.156057, -0.388841, 0.531368, -0.504012, 0.292533, -0.210967, 0.000000, 0.000000], [-0.120171, -0.131143, 0.823387, 0.440526, -0.081495, -0.250008, -0.140920, 0.085604, 0.000000, 0.000000], [-0.299113, 0.097621, 0.330786, -0.355096, -0.388292, 0.244933, 0.628499, -0.244368, 0.000000, 0.000000], [0.213877, 0.706800, 0.148376, -0.358446, -0.207537, -0.415102, -0.286688, -0.081362, 0.000000, 0.000000], [-0.435991, 0.470392, -0.074282, 0.179208, 0.439700, -0.165336, 0.367644, 0.441787, 0.000000, 0.000000], [0.237552, 0.115009, -0.279609, 0.579407, -0.240859, -0.362527, 0.405362, -0.403350, 0.000000, 0.000000], [0.497504, 0.337679, 0.283302, 0.166503, 0.431439, 0.539829, 0.106089, -0.204130, 0.000000, 0.000000]]
fourier: [[26.200004, 26.653833, 27.095284, 35.178484, 41.570909], [10.132762, 10.776938, 12.647816, 14.345076, 77.134364], [5.716193, 6.304128, 7.808654, 9.481609, 23.610714], [14.088497, 14.557677, 18.706741, 22.066915, 52.978241], [10.855382, 13.033261, 14.656649, 18.865187, 115.139579], [20.679870, 21.919977, 26.809261, 30.925733, 81.696597], [11.269277, 11.919099, 15.141514, 18.275902, 36.705119], [23.548722, 25.331966, 31.954019, 38.645113, 58.043003]]
### 10
mean: [-0.248313, -1.693859, -1.591845, -1.650825, -1.298707, 2.313405, -0.573728, -0.553050]
std: [1.259784, 0.637664, 1.257320, 1.038980, 1.194413, 3.407314, 0.355762, 0.354941]
pca: [[-0.294871, 0.477734, -0.319248, 0.003044, -0.299798, 0.513936, -0.037961, 0.476910, 0.000000, 0.000000], [-0.147514, -0.326041, 0.385392, 0.466753, -0.466568, -0.242812, 0.103855, 0.467036, 0.000000, 0.000000], [-0.296628, -0.314115, 0.500105, -0.265871, -0.119292, 0.626917, 0.098252, -0.275033, 0.000000, 0.000000], [-0.242307, -0.441355, -0.442088, -0.523198, -0.417276, -0.255204, -0.195080, -0.003118, 0.000000, 0.000000], [-0.281217, -0.345323, -0.030403, -0.122530, 0.698248, 0.042165, -0.029315, 0.543639, 0.000000, 0.000000], [0.808309, -0.243843, -0.023086, -0.235416, -0.121138, 0.292079, 0.102842, 0.347366, 0.000000, 0.000000], [-0.080389, -0.248557, -0.458981, 0.263611, 0.025628, 0.125108, 0.779509, -0.166310, 0.000000, 0.000000], [0.075378, -0.362653, -0.303127, 0.545696, 0.034696, 0.340614, -0.566563, -0.186859, 0.000000, 0.000000]]
fourier: [[18.208670, 20.196932, 22.348204, 25.267631, 30.542672], [9.085338, 11.034122, 11.886233, 15.792967, 152.447269], [18.087304, 21.638963, 24.378662, 31.416024, 143.266044], [14.788095, 17.952112, 19.695194, 25.817194, 148.574239], [17.163464, 20.567677, 23.114548, 29.778763, 116.883653], [49.368428, 57.112833, 67.913115, 84.558021, 208.206438], [5.337504, 6.099836, 6.409133, 8.638790, 51.635517], [5.191183, 5.390546, 6.773566, 7.674171, 49.774458]]
### 12
mean: [-1.827565]
std: [2.076477]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.813017, 35.699422, 40.348038, 51.775896, 164.480882]]
## 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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{"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": [[-0.747175, 0.309242, 0.187921, 0.043663, -0.75958], [-0.823207, 0.508519, -0.160797, -0.00603, -0.563681], [-0.38628, 0.098773, 0.473019, 0.15954, -1.020937], [0.597406, 0.263854, -0.240778, -0.527406, -0.262371], [-0.388093, 0.256887, 0.5607, -0.207706, -0.612507], [0.128959, 0.286868, -0.086595, -0.072439, 0.571748], [0.327348, 0.07337, 0.588191, -0.117035, 0.478984], [0.468204, 0.405732, -0.041151, -0.29055, 0.524445]], "network.0.bias": [0.495944, 0.555155, 0.545005, 0.086149, 0.806069, -0.022858, -0.482552, 0.36634], "network.2.weight": [[-0.423161, -0.000568, -0.112133, 0.701638, -0.071151, 0.228403, 0.329138, 0.509199], [-0.057797, 0.066046, -0.478327, -0.071187, 0.253528, -0.210912, -0.424152, 0.026522], [0.297785, -0.13053, 0.63661, 0.031109, 0.513385, -0.203145, -0.045106, -0.315267], [-0.25791, 0.093168, -0.493692, 0.277142, -0.320118, -0.226698, -0.193057, -0.1001], [0.60586, 0.22823, 0.328813, -0.299775, 0.642138, -0.33096, -0.209055, -0.402921], [-0.154723, -0.349937, 0.03607, 0.824891, -0.331475, 0.226575, 0.567079, 0.30513], [-0.123703, -0.147709, -0.550908, -0.028582, -0.167469, 0.005283, -0.228699, -0.187954], [0.539356, 0.339272, 0.731229, -0.672724, 0.42132, -0.014431, -0.143776, -0.309032]], "network.2.bias": [0.461935, 0.180972, 0.21723, 0.217974, 0.189689, 0.11984, -0.237028, 0.264493], "network.4.weight": [[-0.405856, 0.19619, -0.122539, -0.295771, 0.119711, -0.176593, -0.34258, -0.190164], [-0.682116, -0.214562, 0.274957, -0.187025, 0.465316, -0.532499, -0.445447, 0.711975], [-0.414292, 0.298122, -0.236466, -0.635374, -0.283892, -0.28587, -0.036822, -0.627329], [-0.185678, -0.202656, 0.128298, 0.025258, -0.25871, -0.115758, 0.031854, -0.140831], [-0.474878, -0.14883, 0.170846, 0.132221, 0.558815, -0.154429, -0.339811, 0.510417], [-0.287264, 0.21455, -0.627966, -0.571939, -0.28832, -0.091582, -0.061202, -0.015172], [-0.022468, -0.29646, -0.227976, -0.169908, -0.075187, -0.205623, -0.322182, -0.059574], [-0.3185, 0.063043, -0.345478, -0.311984, 0.273857, -0.24424, -0.345732, -0.34409]], "network.4.bias": [-0.234442, 0.043042, -0.065508, -0.230778, 0.094773, -0.332789, -0.220083, 0.014308], "network.6.weight": [[-0.293824, -0.389311, 0.534921, 0.300722, -0.172264, 0.063529, 0.051532, -0.132189], [0.069918, -0.704887, 0.021849, 0.082446, -0.291299, -0.225629, 0.096098, 0.237606], [-0.495663, 0.06131, 0.051011, -0.333357, 0.034724, 0.047166, -0.216178, 0.117027], [0.069907, -0.348702, 0.570073, 0.186084, -0.404188, 0.321045, -0.075251, 0.172829], [-0.466354, -0.411158, -0.296202, -0.330322, -0.010347, 0.12785, 0.098131, 0.03784], [0.014917, 0.47589, 0.117264, -0.296756, 0.57463, -0.093737, -0.022502, 0.100562], [-0.140504, -0.336133, 0.24858, -0.097547, 0.109754, -0.147343, 0.33273, 0.285683], [-0.294752, -0.302589, 0.051496, -0.086507, -0.211047, 0.233733, -0.260306, -0.341686]], "network.6.bias": [0.842131, 1.059956, -0.227915, -0.095368, -0.176578, -0.131856, -0.149676, -0.391063], "network.8.weight": [[0.607804, 0.712774, -0.189786, 0.073204, -0.055057, -0.571508, -0.295419, 0.203741], [-0.057676, 0.066843, 0.080155, -0.224102, -0.25886, -0.312927, 0.3069, -0.02033], [0.063629, -0.48906, -0.005152, -0.318375, -0.031556, 0.085415, -0.218545, 0.568898], [-0.276437, -0.391084, 0.338469, -0.107578, -0.352738, 0.299747, -0.089116, 0.146026], [0.803184, 0.787547, 0.171944, 0.635661, 0.405131, -0.019534, -0.305814, 0.480271], [-0.139049, -0.294345, 0.129311, -0.17005, 0.005, 0.561378, -0.259944, 0.027258], [0.433395, 0.415726, -0.376858, -0.569845, -0.156662, -0.172534, -0.212668, -0.508664], [1.002299, 0.849608, -0.173041, -0.01588, -0.122376, -0.380878, 0.328586, 0.011726]], "network.8.bias": [0.657364, -0.334887, 0.342368, 0.371168, 0.550451, 0.14623, 0.329654, 0.44336], "network.10.weight": [[-0.235362, 0.282359, 0.371159, 0.245025, -0.144712, 0.290242, 0.123651, -0.318103], [-0.230531, -0.410838, -0.33988, -0.271884, -0.618219, 0.125792, -0.156341, -0.035691], [-0.110071, -0.03155, -0.401361, 0.062508, -0.427397, 0.056732, -0.403885, -0.593897], [-0.235397, 0.289753, 0.050028, 0.257621, -0.52665, -0.215769, 0.119055, -0.473454], [-0.420993, -0.184658, 0.063668, 0.225799, -0.115701, -0.12608, -0.38856, -0.42081], [0.853198, 0.117301, -0.202242, -0.426333, 0.732598, -0.448161, 0.402125, 0.883676], [-0.322715, -0.008387, 0.264367, -0.057865, 0.061815, -0.075244, 0.033566, -0.138242], [-0.236995, -0.318074, 0.159593, -0.309027, 0.192788, -0.094564, 0.000261, 0.092972]], "network.10.bias": [-0.164448, -0.382606, -0.040806, -0.288072, -0.123268, 0.216835, -0.181803, -0.406559], "network.12.weight": [[0.189193, 0.079623, 0.026424, 0.106417, 0.033324, -0.70345, -0.064797, -0.023829]], "network.12.bias": [0.081543]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6871826946735382, "train_acc": 0.575, "val_loss": 0.6898675560951233, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6810282468795776, "train_acc": 0.575, "val_loss": 0.6885731220245361, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.669223815202713, "train_acc": 0.575, "val_loss": 0.6664846539497375, "val_acc": 0.54}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6479706466197968, "train_acc": 0.575, "val_loss": 0.6140115857124329, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6078465580940247, "train_acc": 0.49, "val_loss": 0.5306459069252014, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5151055604219437, "train_acc": 0.68, "val_loss": 0.40874260663986206, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5459681749343872, "train_acc": 0.8, "val_loss": 0.6670809984207153, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5618857145309448, "train_acc": 0.82, "val_loss": 0.5489127039909363, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.43561455607414246, "train_acc": 0.82, "val_loss": 0.459444135427475, "val_acc": 0.78}], "summary": {"total_epochs": 9, "degraded_epochs": 4, "improved_epochs": 5, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6898675560951233, "final_val_loss": 0.6140115857124329, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5306459069252014, "final_val_loss": 0.459444135427475, "initial_val_acc": 0.66, "final_val_acc": 0.78, "best_val_acc": 0.82, "best_epoch": 5}, "improvement": 0.2799999999999999, "first_improvement_epoch": 3}}
|
9,634
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.42, "improved_accuracy": 0.94, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5276, "learning_rate": 0.09868584823894817, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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],
"network.10.bias": [
-0.146608
]
}
## Activation Signature
### 0
mean: [0.182501, 0.298335, 2.058461, 2.208443, -3.034977, -2.645677]
std: [1.338959, 1.296696, 1.224574, 2.143654, 2.121812, 1.605741]
pca: [[-0.098026, 0.472275, 0.216206, 0.730972, -0.163504, 0.399436, 0.000000, 0.000000, 0.000000, 0.000000], [-0.049297, 0.437950, 0.604036, -0.240058, 0.594027, -0.174396, 0.000000, 0.000000, 0.000000, 0.000000], [-0.379089, -0.093148, -0.480789, 0.414673, 0.627759, -0.224549, 0.000000, 0.000000, 0.000000, 0.000000], [-0.347448, 0.688163, -0.449770, -0.357049, -0.254295, -0.106157, 0.000000, 0.000000, 0.000000, 0.000000], [0.677804, 0.272658, -0.147567, 0.274937, -0.061013, -0.604276, 0.000000, 0.000000, 0.000000, 0.000000], [0.513920, 0.169025, -0.364922, -0.181724, 0.397403, 0.619028, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.861472, 17.511583, 20.107433, 24.690416, 28.443192], [18.807643, 18.860785, 22.375379, 24.543016, 26.850162], [19.941359, 20.888046, 21.403516, 24.934961, 185.261501], [32.465974, 33.770758, 36.590717, 41.667898, 198.759857], [32.769083, 34.800745, 39.312399, 43.092051, 273.147951], [24.340443, 24.586371, 31.770934, 32.054865, 238.110924]]
### 2
mean: [0.155942, -1.505662, 2.129966, 1.852275, 0.563203, 2.770662]
std: [0.935026, 1.047858, 1.782454, 1.439078, 0.684427, 1.854850]
pca: [[-0.185001, 0.758764, -0.083455, 0.244190, -0.367706, -0.433879, 0.000000, 0.000000, 0.000000, 0.000000], [-0.307495, -0.331205, 0.542011, 0.627797, 0.123985, -0.304096, 0.000000, 0.000000, 0.000000, 0.000000], [0.546260, -0.427867, -0.205082, 0.086740, -0.494014, -0.474233, 0.000000, 0.000000, 0.000000, 0.000000], [0.448895, 0.211246, -0.091390, 0.061635, 0.756790, -0.411080, 0.000000, 0.000000, 0.000000, 0.000000], [0.193188, 0.135829, 0.757768, -0.560597, -0.124361, -0.200703, 0.000000, 0.000000, 0.000000, 0.000000], [0.577921, 0.261605, 0.273198, 0.469735, -0.131047, 0.533955, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.088871, 15.079447, 15.730937, 18.480351, 18.685840], [15.235943, 16.164575, 17.676054, 17.798995, 135.509560], [25.427537, 26.872642, 28.300257, 33.108073, 191.696963], [21.364852, 22.050393, 23.026924, 25.751193, 166.704728], [9.454673, 9.750181, 12.893420, 13.389384, 50.688276], [27.471494, 28.792217, 31.426160, 33.403441, 249.359544]]
### 4
mean: [1.836249, 1.575947, -1.085024, 2.704494, 1.206122, 0.714091]
std: [1.145844, 1.699311, 0.598834, 2.710091, 1.528316, 0.762591]
pca: [[0.278679, 0.588908, -0.439485, -0.279809, 0.211437, 0.509294, 0.000000, 0.000000, 0.000000, 0.000000], [0.449675, -0.129077, 0.467989, 0.201882, -0.415565, 0.590480, 0.000000, 0.000000, 0.000000, 0.000000], [-0.155260, -0.123342, 0.526969, -0.176219, 0.761111, 0.269521, 0.000000, 0.000000, 0.000000, 0.000000], [0.718905, 0.059501, 0.227860, -0.389282, 0.091644, -0.517471, 0.000000, 0.000000, 0.000000, 0.000000], [0.403736, -0.174530, -0.289270, 0.724806, 0.441176, -0.053670, 0.000000, 0.000000, 0.000000, 0.000000], [-0.127270, 0.766363, 0.417787, 0.415949, -0.016617, -0.220578, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.389748, 16.734441, 20.368652, 20.814101, 165.262449], [25.311259, 25.981158, 27.257051, 32.434879, 141.835217], [8.563197, 8.684328, 10.377331, 11.258932, 97.652127], [39.532629, 42.041295, 42.555200, 51.478350, 243.404492], [23.007224, 23.582962, 24.723125, 29.455732, 108.550978], [12.538844, 12.763625, 14.681286, 15.541890, 64.268149]]
### 6
mean: [1.485712, -0.064519, 0.799104, 0.308158, 2.461103, -0.950416]
std: [1.736989, 1.370413, 1.354281, 0.901583, 2.864850, 0.404288]
pca: [[0.433397, 0.531602, 0.501371, 0.105969, 0.371047, -0.359567, 0.000000, 0.000000, 0.000000, 0.000000], [-0.339927, 0.504673, -0.174311, 0.743029, -0.152000, 0.155484, 0.000000, 0.000000, 0.000000, 0.000000], [0.338015, -0.416869, 0.143243, 0.451635, -0.544096, -0.437530, 0.000000, 0.000000, 0.000000, 0.000000], [0.219426, -0.458598, -0.156386, 0.470656, 0.674130, 0.202769, 0.000000, 0.000000, 0.000000, 0.000000], [0.724388, 0.230812, -0.298520, -0.055977, -0.262548, 0.510695, 0.000000, 0.000000, 0.000000, 0.000000], [-0.097350, -0.159182, 0.764299, 0.089740, -0.140705, 0.594289, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.910846, 26.607030, 27.521254, 32.147421, 133.714085], [19.163713, 20.656625, 20.992337, 24.509313, 26.008616], [20.240014, 20.698286, 24.055801, 25.810872, 71.919389], [13.036034, 14.437782, 16.831498, 17.309419, 27.734213], [42.765647, 44.323444, 44.397013, 54.537164, 221.499248], [6.282577, 6.471719, 7.124906, 7.883913, 85.537431]]
### 8
mean: [0.145891, 0.178640, 0.226626, 0.180827, 1.885419, 2.024405]
std: [0.451044, 1.428266, 0.472281, 0.312057, 2.142945, 2.694808]
pca: [[0.107311, 0.357280, 0.701686, -0.189782, -0.083172, -0.570559, 0.000000, 0.000000, 0.000000, 0.000000], [-0.368746, 0.723074, -0.310298, 0.427568, 0.184650, -0.167317, 0.000000, 0.000000, 0.000000, 0.000000], [0.123749, 0.027289, 0.453876, 0.230328, 0.744281, 0.413441, 0.000000, 0.000000, 0.000000, 0.000000], [-0.064251, 0.420722, 0.267890, -0.079083, -0.523260, 0.683407, 0.000000, 0.000000, 0.000000, 0.000000], [0.566595, 0.413719, -0.364155, -0.556200, 0.247781, 0.066673, 0.000000, 0.000000, 0.000000, 0.000000], [0.715569, 0.024505, -0.031228, 0.642265, -0.264266, -0.063586, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.499680, 6.635411, 7.720309, 8.414063, 13.130207], [19.590619, 21.843095, 22.776431, 25.120220, 28.439359], [6.761555, 6.819422, 8.131653, 8.835980, 20.396356], [5.025217, 5.188344, 6.341414, 6.353150, 16.274387], [29.980424, 30.598826, 33.461827, 37.957666, 169.687727], [39.289064, 39.999148, 41.445672, 49.431404, 182.196503]]
### 10
mean: [-0.807309]
std: [1.415222]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.398452, 21.763451, 22.013931, 27.083203, 72.657789]]
## 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.535439,
0.249999,
-0.072318,
0.287994,
0.203985
],
[
-0.425215,
0.01583,
-0.036116,
0.430334,
-0.042175
],
[
0.18327,
0.303304,
0.190764,
0.079649,
0.304864
],
[
-0.813427,
0.356389,
0.416736,
0.465533,
0.399842
],
[
-0.645259,
-0.281463,
-0.240756,
-0.460156,
-0.099153
],
[
-0.477192,
-0.260471,
-0.057864,
-0.40506,
-0.061142
]
],
"network.0.bias": [
-0.324834,
0.003277,
0.332418,
0.209324,
-0.107119,
-0.512294
],
"network.2.weight": [
[
-0.343057,
-0.092939,
0.537259,
-0.293542,
0.825948,
-0.245234
],
[
-0.581023,
-0.2827,
-0.419353,
-0.075083,
0.015798,
0.329145
],
[
0.479403,
0.612633,
-0.092126,
0.543144,
-0.197351,
-0.440395
],
[
0.297222,
0.427759,
0.352161,
0.392781,
-0.705604,
0.044066
],
[
0.243345,
-0.365219,
0.071878,
0.348061,
-0.313957,
-0.174399
],
[
0.135607,
0.503449,
0.416396,
0.633507,
-0.16498,
-0.484418
]
],
"network.2.bias": [
0.013147,
-0.010469,
0.423695,
-0.181317,
-0.319479,
0.085779
],
"network.4.weight": [
[
0.108368,
0.367347,
-0.039642,
0.172895,
0.539229,
0.342546
],
[
-0.364182,
0.084069,
0.559687,
-0.048817,
-0.060741,
0.351981
],
[
0.047025,
0.066853,
-0.120828,
-0.051595,
-0.446868,
-0.022341
],
[
-0.628311,
0.201809,
0.547741,
0.333056,
0.131063,
0.513217
],
[
-0.511569,
0.035191,
0.397412,
0.395223,
0.268014,
-0.05121
],
[
0.729763,
-0.291152,
-0.354358,
-0.096776,
0.044244,
0.311599
]
],
"network.4.bias": [
0.398154,
-0.29738,
-0.463272,
-0.268635,
-0.153616,
0.487878
],
"network.6.weight": [
[
0.289652,
0.050247,
0.616881,
0.196921,
0.54042,
-0.055167
],
[
0.5888,
-0.022731,
-0.595697,
-0.491846,
-0.333378,
0.274867
],
[
-0.287624,
0.086358,
-0.034566,
0.25171,
0.459904,
-0.379803
],
[
-0.281985,
0.160351,
0.787062,
0.24102,
0.038856,
-0.365058
],
[
0.233525,
0.329582,
0.278162,
0.606959,
0.149697,
-0.511129
],
[
-0.285768,
-0.216535,
0.005402,
-0.184334,
0.602942,
0.17472
]
],
"network.6.bias": [
-0.215807,
0.459524,
0.127604,
0.165769,
0.028644,
-0.471831
],
"network.8.weight": [
[
0.236406,
0.205139,
-0.165029,
-0.489999,
0.21935,
0.516043
],
[
-0.111637,
0.805171,
-0.349849,
-0.129376,
-0.120439,
-0.303124
],
[
0.28027,
-0.091985,
0.031825,
-0.23895,
0.023658,
0.075374
],
[
0.081434,
0.379388,
-0.229544,
-0.274468,
0.090864,
-0.317852
],
[
0.126964,
0.208509,
0.037823,
0.409242,
0.631978,
0.692761
],
[
0.550052,
-0.270983,
0.603736,
-0.038284,
0.361569,
0.035654
]
],
"network.8.bias": [
-0.437492,
0.643082,
-0.134198,
-0.060389,
-0.146879,
-0.156122
],
"network.10.weight": [
[
-0.053261,
0.459473,
-0.052786,
0.040308,
-0.241771,
-0.217254
]
],
"network.10.bias": [
-0.146608
]
}
## Activation Signature
### 0
mean: [0.182501, 0.298335, 2.058461, 2.208443, -3.034977, -2.645677]
std: [1.338959, 1.296696, 1.224574, 2.143654, 2.121812, 1.605741]
pca: [[-0.098026, 0.472275, 0.216206, 0.730972, -0.163504, 0.399436, 0.000000, 0.000000, 0.000000, 0.000000], [-0.049297, 0.437950, 0.604036, -0.240058, 0.594027, -0.174396, 0.000000, 0.000000, 0.000000, 0.000000], [-0.379089, -0.093148, -0.480789, 0.414673, 0.627759, -0.224549, 0.000000, 0.000000, 0.000000, 0.000000], [-0.347448, 0.688163, -0.449770, -0.357049, -0.254295, -0.106157, 0.000000, 0.000000, 0.000000, 0.000000], [0.677804, 0.272658, -0.147567, 0.274937, -0.061013, -0.604276, 0.000000, 0.000000, 0.000000, 0.000000], [0.513920, 0.169025, -0.364922, -0.181724, 0.397403, 0.619028, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.861472, 17.511583, 20.107433, 24.690416, 28.443192], [18.807643, 18.860785, 22.375379, 24.543016, 26.850162], [19.941359, 20.888046, 21.403516, 24.934961, 185.261501], [32.465974, 33.770758, 36.590717, 41.667898, 198.759857], [32.769083, 34.800745, 39.312399, 43.092051, 273.147951], [24.340443, 24.586371, 31.770934, 32.054865, 238.110924]]
### 2
mean: [0.155942, -1.505662, 2.129966, 1.852275, 0.563203, 2.770662]
std: [0.935026, 1.047858, 1.782454, 1.439078, 0.684427, 1.854850]
pca: [[-0.185001, 0.758764, -0.083455, 0.244190, -0.367706, -0.433879, 0.000000, 0.000000, 0.000000, 0.000000], [-0.307495, -0.331205, 0.542011, 0.627797, 0.123985, -0.304096, 0.000000, 0.000000, 0.000000, 0.000000], [0.546260, -0.427867, -0.205082, 0.086740, -0.494014, -0.474233, 0.000000, 0.000000, 0.000000, 0.000000], [0.448895, 0.211246, -0.091390, 0.061635, 0.756790, -0.411080, 0.000000, 0.000000, 0.000000, 0.000000], [0.193188, 0.135829, 0.757768, -0.560597, -0.124361, -0.200703, 0.000000, 0.000000, 0.000000, 0.000000], [0.577921, 0.261605, 0.273198, 0.469735, -0.131047, 0.533955, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.088871, 15.079447, 15.730937, 18.480351, 18.685840], [15.235943, 16.164575, 17.676054, 17.798995, 135.509560], [25.427537, 26.872642, 28.300257, 33.108073, 191.696963], [21.364852, 22.050393, 23.026924, 25.751193, 166.704728], [9.454673, 9.750181, 12.893420, 13.389384, 50.688276], [27.471494, 28.792217, 31.426160, 33.403441, 249.359544]]
### 4
mean: [1.836249, 1.575947, -1.085024, 2.704494, 1.206122, 0.714091]
std: [1.145844, 1.699311, 0.598834, 2.710091, 1.528316, 0.762591]
pca: [[0.278679, 0.588908, -0.439485, -0.279809, 0.211437, 0.509294, 0.000000, 0.000000, 0.000000, 0.000000], [0.449675, -0.129077, 0.467989, 0.201882, -0.415565, 0.590480, 0.000000, 0.000000, 0.000000, 0.000000], [-0.155260, -0.123342, 0.526969, -0.176219, 0.761111, 0.269521, 0.000000, 0.000000, 0.000000, 0.000000], [0.718905, 0.059501, 0.227860, -0.389282, 0.091644, -0.517471, 0.000000, 0.000000, 0.000000, 0.000000], [0.403736, -0.174530, -0.289270, 0.724806, 0.441176, -0.053670, 0.000000, 0.000000, 0.000000, 0.000000], [-0.127270, 0.766363, 0.417787, 0.415949, -0.016617, -0.220578, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.389748, 16.734441, 20.368652, 20.814101, 165.262449], [25.311259, 25.981158, 27.257051, 32.434879, 141.835217], [8.563197, 8.684328, 10.377331, 11.258932, 97.652127], [39.532629, 42.041295, 42.555200, 51.478350, 243.404492], [23.007224, 23.582962, 24.723125, 29.455732, 108.550978], [12.538844, 12.763625, 14.681286, 15.541890, 64.268149]]
### 6
mean: [1.485712, -0.064519, 0.799104, 0.308158, 2.461103, -0.950416]
std: [1.736989, 1.370413, 1.354281, 0.901583, 2.864850, 0.404288]
pca: [[0.433397, 0.531602, 0.501371, 0.105969, 0.371047, -0.359567, 0.000000, 0.000000, 0.000000, 0.000000], [-0.339927, 0.504673, -0.174311, 0.743029, -0.152000, 0.155484, 0.000000, 0.000000, 0.000000, 0.000000], [0.338015, -0.416869, 0.143243, 0.451635, -0.544096, -0.437530, 0.000000, 0.000000, 0.000000, 0.000000], [0.219426, -0.458598, -0.156386, 0.470656, 0.674130, 0.202769, 0.000000, 0.000000, 0.000000, 0.000000], [0.724388, 0.230812, -0.298520, -0.055977, -0.262548, 0.510695, 0.000000, 0.000000, 0.000000, 0.000000], [-0.097350, -0.159182, 0.764299, 0.089740, -0.140705, 0.594289, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.910846, 26.607030, 27.521254, 32.147421, 133.714085], [19.163713, 20.656625, 20.992337, 24.509313, 26.008616], [20.240014, 20.698286, 24.055801, 25.810872, 71.919389], [13.036034, 14.437782, 16.831498, 17.309419, 27.734213], [42.765647, 44.323444, 44.397013, 54.537164, 221.499248], [6.282577, 6.471719, 7.124906, 7.883913, 85.537431]]
### 8
mean: [0.145891, 0.178640, 0.226626, 0.180827, 1.885419, 2.024405]
std: [0.451044, 1.428266, 0.472281, 0.312057, 2.142945, 2.694808]
pca: [[0.107311, 0.357280, 0.701686, -0.189782, -0.083172, -0.570559, 0.000000, 0.000000, 0.000000, 0.000000], [-0.368746, 0.723074, -0.310298, 0.427568, 0.184650, -0.167317, 0.000000, 0.000000, 0.000000, 0.000000], [0.123749, 0.027289, 0.453876, 0.230328, 0.744281, 0.413441, 0.000000, 0.000000, 0.000000, 0.000000], [-0.064251, 0.420722, 0.267890, -0.079083, -0.523260, 0.683407, 0.000000, 0.000000, 0.000000, 0.000000], [0.566595, 0.413719, -0.364155, -0.556200, 0.247781, 0.066673, 0.000000, 0.000000, 0.000000, 0.000000], [0.715569, 0.024505, -0.031228, 0.642265, -0.264266, -0.063586, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.499680, 6.635411, 7.720309, 8.414063, 13.130207], [19.590619, 21.843095, 22.776431, 25.120220, 28.439359], [6.761555, 6.819422, 8.131653, 8.835980, 20.396356], [5.025217, 5.188344, 6.341414, 6.353150, 16.274387], [29.980424, 30.598826, 33.461827, 37.957666, 169.687727], [39.289064, 39.999148, 41.445672, 49.431404, 182.196503]]
### 10
mean: [-0.807309]
std: [1.415222]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.398452, 21.763451, 22.013931, 27.083203, 72.657789]]
## 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": 0.6722521185874939, "train_acc": 0.595, "val_loss": 0.6902412176132202, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6878774464130402, "train_acc": 0.595, "val_loss": 0.5629310011863708, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.9048075675964355, "train_acc": 0.555, "val_loss": 0.320731520652771, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.381916880607605, "train_acc": 0.88, "val_loss": 0.4591011106967926, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.544551819562912, "train_acc": 0.775, "val_loss": 0.43152526021003723, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.49576669931411743, "train_acc": 0.85, "val_loss": 0.3847430348396301, "val_acc": 0.92}], "summary": {"total_epochs": 6, "degraded_epochs": 2, "improved_epochs": 4, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6902412176132202, "final_val_loss": 0.5629310011863708, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.320731520652771, "final_val_loss": 0.3847430348396301, "initial_val_acc": 0.94, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 2}, "improvement": 0.52, "first_improvement_epoch": 1}}
|
9,635
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.52, "improved_accuracy": 0.74, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2996, "learning_rate": 0.03456756346110833, "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: 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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"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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"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: [-1.419309, -0.404139, 0.958126, -1.615828, -0.173350, 1.163534, 0.404927]
std: [1.706769, 2.114858, 1.303613, 1.402915, 1.255713, 2.139802, 1.382209]
pca: [[0.400546, 0.434821, 0.350866, -0.238746, -0.458472, -0.506669, 0.058966, 0.000000, 0.000000, 0.000000], [0.609641, 0.238972, 0.185856, 0.258693, 0.007568, 0.670455, -0.142123, 0.000000, 0.000000, 0.000000], [-0.013548, -0.404394, 0.651325, 0.184813, 0.048233, 0.033765, 0.611912, 0.000000, 0.000000, 0.000000], [-0.194816, 0.653619, -0.174835, -0.124931, 0.273671, 0.169301, 0.620560, 0.000000, 0.000000, 0.000000], [0.039016, 0.076388, -0.340362, 0.832134, -0.292061, -0.243993, 0.198790, 0.000000, 0.000000, 0.000000], [0.537694, -0.395311, -0.519952, -0.328378, -0.091219, 0.010732, 0.409873, 0.000000, 0.000000, 0.000000], [0.372996, 0.031045, 0.036929, 0.161356, 0.786704, -0.452025, -0.096334, 0.000000, 0.000000, 0.000000]]
fourier: [[24.628638, 25.839329, 27.098705, 27.554343, 127.737849], [31.231663, 31.988287, 36.372482, 37.960385, 41.055708], [20.750551, 21.805355, 21.820953, 23.942502, 86.231355], [20.983968, 22.117088, 25.850361, 30.546336, 145.424553], [18.965025, 19.106707, 19.743226, 20.432275, 20.852496], [35.714063, 37.308948, 39.782282, 46.750566, 104.718028], [21.323994, 24.471842, 27.077389, 29.592144, 36.443430]]
### 2
mean: [-0.372408, -0.071939, 0.242860, -0.058532, 1.124063, 1.039876, -0.209530]
std: [1.251377, 0.908213, 0.845311, 0.360750, 1.563906, 1.297559, 1.162388]
pca: [[0.438407, -0.375763, 0.205809, 0.206777, -0.016718, -0.369228, 0.666992, 0.000000, 0.000000, 0.000000], [-0.334325, -0.038601, 0.168999, -0.488454, 0.367016, 0.432380, 0.545834, 0.000000, 0.000000, 0.000000], [-0.242378, 0.373344, 0.768668, -0.118712, -0.321749, -0.305513, -0.007925, 0.000000, 0.000000, 0.000000], [0.071347, -0.132285, 0.502217, 0.479170, 0.602092, 0.232330, -0.281234, 0.000000, 0.000000, 0.000000], [0.579394, 0.175030, 0.186944, -0.034122, -0.401533, 0.660039, 0.025985, 0.000000, 0.000000, 0.000000], [0.359067, 0.761257, -0.159261, -0.044482, 0.444346, -0.209876, 0.150745, 0.000000, 0.000000, 0.000000], [-0.409344, 0.300465, -0.160304, 0.686889, -0.200772, 0.222944, 0.393232, 0.000000, 0.000000, 0.000000]]
fourier: [[18.001378, 19.426356, 23.126446, 29.157497, 33.516687], [13.065371, 13.106417, 13.385234, 14.426160, 22.594795], [12.955953, 14.528653, 14.589650, 15.989090, 21.857403], [5.201099, 5.267854, 5.517622, 6.725832, 7.191010], [24.364889, 24.649936, 25.747107, 38.289246, 101.165637], [21.128521, 23.443492, 25.366800, 25.636889, 93.588850], [16.500981, 18.834933, 18.857670, 23.332950, 25.155410]]
### 4
mean: [0.089699, 0.462500, -1.150943, 0.839003, 0.913700, -0.125850, -0.176762]
std: [0.559314, 0.881943, 0.964389, 0.928341, 1.468756, 0.857253, 0.644919]
pca: [[0.000390, -0.396468, 0.610396, -0.491914, -0.046444, 0.414591, -0.232825, 0.000000, 0.000000, 0.000000], [0.380645, -0.117065, 0.528773, 0.448952, -0.271317, -0.092369, 0.527354, 0.000000, 0.000000, 0.000000], [-0.393072, -0.388503, 0.291452, 0.356677, 0.322886, -0.522746, -0.323849, 0.000000, 0.000000, 0.000000], [0.007985, 0.798844, 0.493340, 0.009713, 0.287042, -0.024286, -0.187943, 0.000000, 0.000000, 0.000000], [0.682006, -0.032367, -0.044053, -0.226252, -0.177718, -0.503472, -0.442290, 0.000000, 0.000000, 0.000000], [0.390936, -0.122016, -0.126312, 0.536788, 0.322822, 0.528007, -0.381025, 0.000000, 0.000000, 0.000000], [0.287363, -0.155202, -0.039902, -0.299696, 0.775747, -0.115986, 0.432075, 0.000000, 0.000000, 0.000000]]
fourier: [[8.154898, 8.533902, 8.560375, 8.944795, 13.592749], [15.367614, 15.440781, 16.736422, 18.538002, 41.625007], [15.530230, 15.741835, 16.971148, 20.116478, 103.584858], [15.382012, 16.375110, 16.834231, 18.332762, 75.510236], [23.017478, 24.209363, 25.050150, 34.399910, 82.232987], [12.791129, 13.358393, 14.040559, 15.445026, 20.285702], [9.749479, 10.023577, 11.486836, 14.465755, 15.908573]]
### 6
mean: [-1.064713, -0.810510, 0.526666, 0.340747, -0.617845, 1.194191, 1.534147]
std: [0.869691, 0.322990, 0.532531, 0.625710, 0.981960, 0.923901, 1.533611]
pca: [[-0.243329, 0.697978, 0.539121, -0.079577, 0.282736, -0.246677, 0.125875, 0.000000, 0.000000, 0.000000], [-0.135752, 0.126135, 0.117890, 0.644419, 0.100581, 0.715907, 0.117675, 0.000000, 0.000000, 0.000000], [-0.174136, -0.383551, 0.096961, 0.116548, 0.056077, -0.235681, 0.860750, 0.000000, 0.000000, 0.000000], [-0.159753, -0.508175, 0.765353, -0.069966, -0.165198, 0.069643, -0.305673, 0.000000, 0.000000, 0.000000], [-0.433532, -0.284159, -0.209183, 0.062453, 0.768947, -0.115753, -0.281012, 0.000000, 0.000000, 0.000000], [0.425177, -0.036329, 0.113462, 0.694742, 0.052213, -0.533699, -0.186556, 0.000000, 0.000000, 0.000000], [0.705544, -0.097453, 0.208932, -0.270823, 0.534325, 0.260764, 0.149036, 0.000000, 0.000000, 0.000000]]
fourier: [[13.318440, 13.757220, 14.558709, 14.658274, 95.824133], [4.792705, 4.950164, 6.502061, 6.839468, 72.945879], [8.934338, 9.382367, 9.658388, 10.362008, 47.399969], [10.025114, 11.210222, 11.419585, 11.903251, 30.667207], [16.171056, 16.612641, 17.030992, 22.099944, 55.606018], [14.581001, 15.042884, 17.744716, 20.849075, 107.477218], [24.094778, 24.757162, 29.315593, 34.564040, 138.073257]]
### 8
mean: [-0.002786, 0.956079, 0.717907, 1.379450, -0.574556, -1.022656, 1.114873]
std: [0.880963, 0.671276, 0.686730, 1.807890, 0.260348, 0.724159, 1.220004]
pca: [[0.338885, -0.076753, 0.508876, 0.622424, 0.402029, -0.170428, 0.205492, 0.000000, 0.000000, 0.000000], [0.250336, 0.301353, -0.428094, 0.330528, -0.217177, 0.446875, 0.554204, 0.000000, 0.000000, 0.000000], [-0.212498, 0.735714, -0.278523, 0.242205, 0.299132, -0.331692, -0.278984, 0.000000, 0.000000, 0.000000], [0.696580, 0.011753, -0.128723, 0.115956, -0.446241, -0.220520, -0.486684, 0.000000, 0.000000, 0.000000], [-0.078278, -0.291927, -0.238820, 0.333296, 0.321536, 0.589334, -0.538359, 0.000000, 0.000000, 0.000000], [-0.256354, -0.512513, -0.504728, 0.361999, -0.096013, -0.502242, 0.156058, 0.000000, 0.000000, 0.000000], [0.469323, -0.118287, -0.389680, -0.434858, 0.624494, -0.114223, 0.147490, 0.000000, 0.000000, 0.000000]]
fourier: [[13.868054, 14.123417, 14.791123, 14.944292, 19.535003], [10.520535, 10.953333, 12.565604, 14.923304, 86.047070], [10.920838, 11.865521, 12.762923, 13.281359, 64.611670], [29.909348, 29.922340, 30.705884, 40.366817, 124.150526], [4.013017, 4.178210, 5.206846, 5.302152, 51.710006], [11.114222, 11.184998, 14.443195, 15.843134, 92.039050], [19.469588, 20.663667, 20.712984, 26.976670, 100.338570]]
### 10
mean: [-0.987505]
std: [1.631603]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.861401, 26.955623, 28.694261, 35.996296, 88.875470]]
## 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: 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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[
0.61053,
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],
[
0.586906,
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]
],
"network.0.bias": [
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-0.221306
],
"network.2.weight": [
[
-0.281537,
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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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"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": [
[
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],
[
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"network.10.weight": [
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],
"network.10.bias": [
0.280066
]
}
## Activation Signature
### 0
mean: [-1.419309, -0.404139, 0.958126, -1.615828, -0.173350, 1.163534, 0.404927]
std: [1.706769, 2.114858, 1.303613, 1.402915, 1.255713, 2.139802, 1.382209]
pca: [[0.400546, 0.434821, 0.350866, -0.238746, -0.458472, -0.506669, 0.058966, 0.000000, 0.000000, 0.000000], [0.609641, 0.238972, 0.185856, 0.258693, 0.007568, 0.670455, -0.142123, 0.000000, 0.000000, 0.000000], [-0.013548, -0.404394, 0.651325, 0.184813, 0.048233, 0.033765, 0.611912, 0.000000, 0.000000, 0.000000], [-0.194816, 0.653619, -0.174835, -0.124931, 0.273671, 0.169301, 0.620560, 0.000000, 0.000000, 0.000000], [0.039016, 0.076388, -0.340362, 0.832134, -0.292061, -0.243993, 0.198790, 0.000000, 0.000000, 0.000000], [0.537694, -0.395311, -0.519952, -0.328378, -0.091219, 0.010732, 0.409873, 0.000000, 0.000000, 0.000000], [0.372996, 0.031045, 0.036929, 0.161356, 0.786704, -0.452025, -0.096334, 0.000000, 0.000000, 0.000000]]
fourier: [[24.628638, 25.839329, 27.098705, 27.554343, 127.737849], [31.231663, 31.988287, 36.372482, 37.960385, 41.055708], [20.750551, 21.805355, 21.820953, 23.942502, 86.231355], [20.983968, 22.117088, 25.850361, 30.546336, 145.424553], [18.965025, 19.106707, 19.743226, 20.432275, 20.852496], [35.714063, 37.308948, 39.782282, 46.750566, 104.718028], [21.323994, 24.471842, 27.077389, 29.592144, 36.443430]]
### 2
mean: [-0.372408, -0.071939, 0.242860, -0.058532, 1.124063, 1.039876, -0.209530]
std: [1.251377, 0.908213, 0.845311, 0.360750, 1.563906, 1.297559, 1.162388]
pca: [[0.438407, -0.375763, 0.205809, 0.206777, -0.016718, -0.369228, 0.666992, 0.000000, 0.000000, 0.000000], [-0.334325, -0.038601, 0.168999, -0.488454, 0.367016, 0.432380, 0.545834, 0.000000, 0.000000, 0.000000], [-0.242378, 0.373344, 0.768668, -0.118712, -0.321749, -0.305513, -0.007925, 0.000000, 0.000000, 0.000000], [0.071347, -0.132285, 0.502217, 0.479170, 0.602092, 0.232330, -0.281234, 0.000000, 0.000000, 0.000000], [0.579394, 0.175030, 0.186944, -0.034122, -0.401533, 0.660039, 0.025985, 0.000000, 0.000000, 0.000000], [0.359067, 0.761257, -0.159261, -0.044482, 0.444346, -0.209876, 0.150745, 0.000000, 0.000000, 0.000000], [-0.409344, 0.300465, -0.160304, 0.686889, -0.200772, 0.222944, 0.393232, 0.000000, 0.000000, 0.000000]]
fourier: [[18.001378, 19.426356, 23.126446, 29.157497, 33.516687], [13.065371, 13.106417, 13.385234, 14.426160, 22.594795], [12.955953, 14.528653, 14.589650, 15.989090, 21.857403], [5.201099, 5.267854, 5.517622, 6.725832, 7.191010], [24.364889, 24.649936, 25.747107, 38.289246, 101.165637], [21.128521, 23.443492, 25.366800, 25.636889, 93.588850], [16.500981, 18.834933, 18.857670, 23.332950, 25.155410]]
### 4
mean: [0.089699, 0.462500, -1.150943, 0.839003, 0.913700, -0.125850, -0.176762]
std: [0.559314, 0.881943, 0.964389, 0.928341, 1.468756, 0.857253, 0.644919]
pca: [[0.000390, -0.396468, 0.610396, -0.491914, -0.046444, 0.414591, -0.232825, 0.000000, 0.000000, 0.000000], [0.380645, -0.117065, 0.528773, 0.448952, -0.271317, -0.092369, 0.527354, 0.000000, 0.000000, 0.000000], [-0.393072, -0.388503, 0.291452, 0.356677, 0.322886, -0.522746, -0.323849, 0.000000, 0.000000, 0.000000], [0.007985, 0.798844, 0.493340, 0.009713, 0.287042, -0.024286, -0.187943, 0.000000, 0.000000, 0.000000], [0.682006, -0.032367, -0.044053, -0.226252, -0.177718, -0.503472, -0.442290, 0.000000, 0.000000, 0.000000], [0.390936, -0.122016, -0.126312, 0.536788, 0.322822, 0.528007, -0.381025, 0.000000, 0.000000, 0.000000], [0.287363, -0.155202, -0.039902, -0.299696, 0.775747, -0.115986, 0.432075, 0.000000, 0.000000, 0.000000]]
fourier: [[8.154898, 8.533902, 8.560375, 8.944795, 13.592749], [15.367614, 15.440781, 16.736422, 18.538002, 41.625007], [15.530230, 15.741835, 16.971148, 20.116478, 103.584858], [15.382012, 16.375110, 16.834231, 18.332762, 75.510236], [23.017478, 24.209363, 25.050150, 34.399910, 82.232987], [12.791129, 13.358393, 14.040559, 15.445026, 20.285702], [9.749479, 10.023577, 11.486836, 14.465755, 15.908573]]
### 6
mean: [-1.064713, -0.810510, 0.526666, 0.340747, -0.617845, 1.194191, 1.534147]
std: [0.869691, 0.322990, 0.532531, 0.625710, 0.981960, 0.923901, 1.533611]
pca: [[-0.243329, 0.697978, 0.539121, -0.079577, 0.282736, -0.246677, 0.125875, 0.000000, 0.000000, 0.000000], [-0.135752, 0.126135, 0.117890, 0.644419, 0.100581, 0.715907, 0.117675, 0.000000, 0.000000, 0.000000], [-0.174136, -0.383551, 0.096961, 0.116548, 0.056077, -0.235681, 0.860750, 0.000000, 0.000000, 0.000000], [-0.159753, -0.508175, 0.765353, -0.069966, -0.165198, 0.069643, -0.305673, 0.000000, 0.000000, 0.000000], [-0.433532, -0.284159, -0.209183, 0.062453, 0.768947, -0.115753, -0.281012, 0.000000, 0.000000, 0.000000], [0.425177, -0.036329, 0.113462, 0.694742, 0.052213, -0.533699, -0.186556, 0.000000, 0.000000, 0.000000], [0.705544, -0.097453, 0.208932, -0.270823, 0.534325, 0.260764, 0.149036, 0.000000, 0.000000, 0.000000]]
fourier: [[13.318440, 13.757220, 14.558709, 14.658274, 95.824133], [4.792705, 4.950164, 6.502061, 6.839468, 72.945879], [8.934338, 9.382367, 9.658388, 10.362008, 47.399969], [10.025114, 11.210222, 11.419585, 11.903251, 30.667207], [16.171056, 16.612641, 17.030992, 22.099944, 55.606018], [14.581001, 15.042884, 17.744716, 20.849075, 107.477218], [24.094778, 24.757162, 29.315593, 34.564040, 138.073257]]
### 8
mean: [-0.002786, 0.956079, 0.717907, 1.379450, -0.574556, -1.022656, 1.114873]
std: [0.880963, 0.671276, 0.686730, 1.807890, 0.260348, 0.724159, 1.220004]
pca: [[0.338885, -0.076753, 0.508876, 0.622424, 0.402029, -0.170428, 0.205492, 0.000000, 0.000000, 0.000000], [0.250336, 0.301353, -0.428094, 0.330528, -0.217177, 0.446875, 0.554204, 0.000000, 0.000000, 0.000000], [-0.212498, 0.735714, -0.278523, 0.242205, 0.299132, -0.331692, -0.278984, 0.000000, 0.000000, 0.000000], [0.696580, 0.011753, -0.128723, 0.115956, -0.446241, -0.220520, -0.486684, 0.000000, 0.000000, 0.000000], [-0.078278, -0.291927, -0.238820, 0.333296, 0.321536, 0.589334, -0.538359, 0.000000, 0.000000, 0.000000], [-0.256354, -0.512513, -0.504728, 0.361999, -0.096013, -0.502242, 0.156058, 0.000000, 0.000000, 0.000000], [0.469323, -0.118287, -0.389680, -0.434858, 0.624494, -0.114223, 0.147490, 0.000000, 0.000000, 0.000000]]
fourier: [[13.868054, 14.123417, 14.791123, 14.944292, 19.535003], [10.520535, 10.953333, 12.565604, 14.923304, 86.047070], [10.920838, 11.865521, 12.762923, 13.281359, 64.611670], [29.909348, 29.922340, 30.705884, 40.366817, 124.150526], [4.013017, 4.178210, 5.206846, 5.302152, 51.710006], [11.114222, 11.184998, 14.443195, 15.843134, 92.039050], [19.469588, 20.663667, 20.712984, 26.976670, 100.338570]]
### 10
mean: [-0.987505]
std: [1.631603]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.861401, 26.955623, 28.694261, 35.996296, 88.875470]]
## 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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{"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": [[0.244261, 0.015877, 0.162271, -0.690825, -0.28549], [0.742113, 0.10736, 0.101364, -0.620192, -0.182381], [-0.318377, 0.712001, 0.238712, -0.1255, 0.043324], [0.009504, -0.487058, -0.218971, 0.215618, -0.502098], [0.434065, 0.109153, -0.596257, 0.068516, 0.131494], [0.61053, -0.356512, 0.331131, -0.315872, 0.564227], [0.586906, -0.055178, 0.233983, -0.118648, -0.192911]], "network.0.bias": [-0.257638, -0.180125, -0.226043, -0.12585, 0.023989, 0.343201, -0.221306], "network.2.weight": [[-0.281537, 0.441794, -0.666389, -0.355896, 0.183182, -0.016925, 0.426508], [-0.106339, -0.245285, 0.338946, 0.222041, -0.008387, -0.28159, -0.040808], [-0.114997, -0.294771, 0.640551, -0.073287, 0.363948, 0.043019, -0.155752], [0.152036, -0.279514, -0.135103, -0.56619, 0.391951, -0.084399, 0.444031], [0.358167, 0.459565, -0.37249, -0.070296, -0.108164, 0.36492, 0.338138], [0.395421, -0.055728, 0.158522, -0.388277, -0.538471, 0.611006, 0.269978], [0.560892, -0.616997, 0.538826, -0.032764, 0.197977, 0.10015, -0.484096]], "network.2.bias": [-0.23704, 0.167037, -0.339592, -0.077854, 0.460329, -0.020366, -0.339482], "network.4.weight": [[-0.770082, -0.078018, -0.291021, -0.356069, 0.043457, 0.139297, -0.346425], [-0.602086, -0.045331, -0.048499, -0.239199, 0.299922, 0.462535, -0.749798], [-0.370929, -0.338183, 0.329277, 0.06232, -0.300697, -0.295249, -0.347557], [0.2902, 0.214775, 0.694694, 0.038765, -0.071587, 0.409986, 0.640786], [-0.132575, -0.141191, -0.482504, -0.569329, 0.568247, 0.42704, -0.453609], [0.107121, -0.034067, -0.356041, -0.062067, 0.088388, 0.349168, -0.556931], [0.094541, -0.312819, -0.397317, -0.418607, 0.071208, 0.213839, -0.156268]], "network.4.bias": [0.42966, 0.084732, -0.307065, -0.172122, 0.263189, -0.301611, -0.170086], "network.6.weight": [[0.066945, 0.275648, 0.297292, -0.632237, -0.484733, -0.170309, -0.056839], [0.088554, -0.125448, 0.268818, -0.024276, -0.025111, -0.453979, 0.107001], [-0.242234, -0.106457, -0.145309, 0.459228, -0.245061, 0.061641, -0.116377], [-0.53079, 0.406012, 0.076455, 0.541387, -0.454711, 0.048348, -0.2424], [-0.200247, -0.542012, -0.274616, 0.481024, -0.465115, -0.219468, 0.323745], [0.703444, 0.196505, 0.016442, -0.041356, 0.540486, 0.283194, -0.126214], [0.687277, 0.537769, -0.197363, -0.133471, 0.71132, 0.187024, 0.590406]], "network.6.bias": [-0.118245, -0.614615, 0.523801, 0.293629, -0.149893, 0.277769, 0.235162], "network.8.weight": [[-0.343948, -0.056409, -0.618874, -0.101986, -0.037613, -0.171937, 0.496898], [-0.320556, -0.051367, 0.207615, -0.285753, 0.09998, 0.244605, 0.293433], [-0.460036, 0.264595, 0.637085, 0.362378, 0.38362, 0.027362, -0.045701], [-0.051597, -0.11478, -0.411504, -0.651041, -0.108748, 0.428413, 0.661213], [-0.174908, 0.298609, 0.028334, -0.161564, -0.08574, -0.108893, -0.125401], [-0.190299, 0.074133, 0.23802, -0.22717, -0.188937, -0.193225, -0.367127], [-0.236149, -0.070541, -0.220286, -0.595995, -0.068488, 0.593209, 0.230928]], "network.8.bias": [-0.185045, 0.196464, 0.20815, 0.343806, -0.188442, -0.233153, 0.415835], "network.10.weight": [[-0.399161, -0.239973, 0.376458, -0.444882, -0.128058, 0.02762, -0.383668]], "network.10.bias": [0.280066]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6876871883869171, "train_acc": 0.565, "val_loss": 0.6879187226295471, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6708591282367706, "train_acc": 0.565, "val_loss": 0.6786099076271057, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.668017566204071, "train_acc": 0.565, "val_loss": 0.6490198373794556, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6681380271911621, "train_acc": 0.495, "val_loss": 0.626239001750946, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6458598375320435, "train_acc": 0.495, "val_loss": 0.6043559908866882, "val_acc": 0.62}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.6434593498706818, "train_acc": 0.65, "val_loss": 0.5799254179000854, "val_acc": 0.62}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.6049210429191589, "train_acc": 0.725, "val_loss": 0.5782451033592224, "val_acc": 0.7}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5886216163635254, "train_acc": 0.725, "val_loss": 0.5740376114845276, "val_acc": 0.68}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.5514032244682312, "train_acc": 0.725, "val_loss": 0.5697588324546814, "val_acc": 0.68}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.5435759127140045, "train_acc": 0.74, "val_loss": 0.564838171005249, "val_acc": 0.72}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.5268769860267639, "train_acc": 0.735, "val_loss": 0.5477933287620544, "val_acc": 0.72}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.5218328237533569, "train_acc": 0.735, "val_loss": 0.5165600776672363, "val_acc": 0.74}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.5011744648218155, "train_acc": 0.745, "val_loss": 0.4924826920032501, "val_acc": 0.74}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.6879187226295471, "final_val_loss": 0.6490198373794556, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.626239001750946, "final_val_loss": 0.4924826920032501, "initial_val_acc": 0.52, "final_val_acc": 0.74, "best_val_acc": 0.74, "best_epoch": 11}, "improvement": 0.21999999999999997, "first_improvement_epoch": 2}}
|
9,636
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.68, "improved_accuracy": 0.92, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5859, "learning_rate": 0.04243733105225951, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
-1.32036,
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1.065576
],
[
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[
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[
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0.011562,
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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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[
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"network.6.weight": [
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],
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"network.8.weight": [
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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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"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.554385, 1.557964, -0.424050, -3.730052, 1.033633, 1.382164]
std: [3.078408, 1.758628, 0.935719, 2.739281, 1.726882, 0.761087]
pca: [[0.726290, 0.665878, 0.071881, -0.065201, 0.108564, -0.088911, 0.000000, 0.000000, 0.000000, 0.000000], [-0.296681, 0.362235, -0.445525, 0.545061, -0.050068, -0.531673, 0.000000, 0.000000, 0.000000, 0.000000], [0.099667, -0.225878, 0.126007, 0.393627, 0.876465, 0.005904, 0.000000, 0.000000, 0.000000, 0.000000], [0.608583, -0.567509, -0.406665, 0.243626, -0.265664, -0.110698, 0.000000, 0.000000, 0.000000, 0.000000], [0.063777, -0.095436, 0.781276, 0.428259, -0.334586, -0.284744, 0.000000, 0.000000, 0.000000, 0.000000], [-0.010476, 0.207839, -0.068519, 0.548594, -0.187060, 0.784889, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.297592, 49.481570, 49.894681, 50.709800, 56.951271], [30.671768, 31.771338, 34.691879, 40.519201, 140.216770], [13.220002, 15.075575, 17.543730, 19.089167, 38.164509], [41.336326, 44.861956, 55.891126, 56.834537, 335.704683], [25.079976, 28.318909, 28.681103, 34.383414, 93.027007], [11.425812, 13.447852, 13.718940, 14.488969, 124.394734]]
### 2
mean: [1.115172, -0.497283, 0.559203, 0.881060, 0.729555, 0.366169]
std: [1.597532, 0.579913, 1.260104, 2.088877, 1.428738, 0.460838]
pca: [[0.493454, 0.170338, 0.531093, -0.251119, 0.616911, 0.042302, 0.000000, 0.000000, 0.000000, 0.000000], [-0.174661, 0.004978, -0.219517, 0.651470, 0.615997, -0.342660, 0.000000, 0.000000, 0.000000, 0.000000], [-0.381608, 0.430520, -0.154329, -0.008121, 0.263904, 0.758616, 0.000000, 0.000000, 0.000000, 0.000000], [0.642805, 0.558926, -0.341125, 0.306108, -0.252120, 0.027743, 0.000000, 0.000000, 0.000000, 0.000000], [-0.406481, 0.665409, 0.409769, -0.022878, -0.191014, -0.432531, 0.000000, 0.000000, 0.000000, 0.000000], [0.044126, -0.174483, 0.601380, 0.646711, -0.265090, 0.342700, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.638838, 27.920604, 28.815888, 29.929953, 100.365506], [9.669494, 9.691071, 10.028705, 11.147995, 44.755427], [19.723129, 22.586178, 23.180508, 26.359569, 50.328240], [35.983263, 37.661990, 40.254096, 43.464053, 79.295388], [23.093022, 23.320019, 25.215777, 25.346427, 65.659947], [8.120531, 8.427084, 8.880379, 11.403496, 32.955201]]
### 4
mean: [0.092453, 0.366928, -0.163023, 1.481081, 1.403241, -0.266237]
std: [2.223353, 0.960907, 0.936646, 2.760802, 2.396507, 0.205692]
pca: [[-0.497537, 0.312554, 0.615511, -0.232035, -0.279741, -0.379234, 0.000000, 0.000000, 0.000000, 0.000000], [-0.207602, 0.456678, -0.210829, 0.799169, 0.081048, -0.242196, 0.000000, 0.000000, 0.000000, 0.000000], [-0.208617, -0.152825, 0.535843, 0.375008, 0.117848, 0.701054, 0.000000, 0.000000, 0.000000, 0.000000], [0.619452, -0.243336, 0.384478, 0.361579, -0.446767, -0.280898, 0.000000, 0.000000, 0.000000, 0.000000], [0.531131, 0.697759, 0.254102, -0.179870, 0.331089, 0.156498, 0.000000, 0.000000, 0.000000, 0.000000], [0.004065, -0.352590, 0.277811, 0.061367, 0.769459, -0.450168, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.359740, 36.209244, 37.000890, 42.966038, 43.817346], [16.601900, 16.986522, 18.061012, 20.036362, 33.023506], [14.742675, 15.196075, 16.637995, 17.479285, 18.017830], [44.016441, 46.413886, 52.664983, 55.526595, 133.297347], [39.268980, 40.243533, 43.222457, 46.537201, 126.291681], [3.196193, 3.229608, 3.531065, 3.729548, 23.961298]]
### 6
mean: [1.256862, -0.280082, 2.556244, 2.522949, -0.049284, -0.866508]
std: [2.644117, 0.539891, 4.829199, 3.114176, 2.202378, 1.796734]
pca: [[0.382416, -0.204422, -0.132749, 0.262979, 0.529485, 0.666960, 0.000000, 0.000000, 0.000000, 0.000000], [0.056924, -0.409334, 0.877021, 0.212198, 0.053923, -0.110016, 0.000000, 0.000000, 0.000000, 0.000000], [0.700115, -0.005194, -0.209156, 0.391520, -0.053284, -0.556721, 0.000000, 0.000000, 0.000000, 0.000000], [0.443916, 0.635302, 0.378652, -0.470645, 0.174807, 0.062354, 0.000000, 0.000000, 0.000000, 0.000000], [-0.309030, 0.619591, 0.138029, 0.699522, 0.104652, 0.035667, 0.000000, 0.000000, 0.000000, 0.000000], [-0.260376, -0.055930, -0.083883, -0.147267, 0.819993, -0.477455, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.836516, 45.631830, 51.083036, 53.641473, 113.117548], [9.120905, 9.678513, 10.094891, 10.894432, 25.207351], [76.933576, 81.556200, 91.475668, 97.117827, 230.061954], [49.177266, 53.890759, 54.709139, 60.147952, 227.065410], [35.689893, 36.630407, 39.848417, 43.583894, 44.796742], [29.117568, 30.012746, 33.743324, 35.894179, 77.985710]]
### 8
mean: [-0.060532, 0.006850, 0.679789, 0.612040, -0.065139, 4.420102]
std: [0.068173, 0.509360, 0.626474, 0.481667, 1.419304, 7.350034]
pca: [[-0.006910, -0.027331, 0.721756, -0.490162, -0.194926, 0.447233, 0.000000, 0.000000, 0.000000, 0.000000], [-0.067943, -0.001881, 0.300937, -0.203266, 0.868226, -0.331187, 0.000000, 0.000000, 0.000000, 0.000000], [-0.040772, 0.617372, 0.445193, 0.646557, 0.006721, 0.030183, 0.000000, 0.000000, 0.000000, 0.000000], [-0.006113, 0.541139, -0.432647, -0.250340, 0.319405, 0.596035, 0.000000, 0.000000, 0.000000, 0.000000], [-0.177697, 0.555463, -0.044626, -0.481059, -0.325760, -0.566000, 0.000000, 0.000000, 0.000000, 0.000000], [0.980847, 0.129344, 0.033655, -0.079369, 0.002021, -0.117361, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[0.896639, 0.909409, 1.181020, 1.523904, 5.447859], [7.948185, 8.342521, 8.530225, 9.460978, 10.087237], [9.636140, 10.227834, 12.108254, 12.187630, 61.180981], [7.131673, 7.932347, 8.017245, 8.322170, 55.083640], [23.527525, 24.141668, 26.544812, 28.228651, 28.723500], [119.372396, 124.255802, 135.749928, 147.597020, 397.809164]]
### 10
mean: [-2.865449]
std: [5.221767]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[83.399140, 91.595006, 99.664521, 105.939454, 257.890422]]
## 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.32036,
-0.038656,
0.059356,
0.131313,
1.065576
],
[
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0.005952,
0.126101,
0.544149
],
[
0.005908,
-0.369507,
-0.055547,
0.221821,
-0.355889
],
[
-0.461773,
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0.011562,
-0.452271,
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],
[
-0.420135,
0.099697,
0.45066,
0.425094,
-0.633159
],
[
0.055499,
-0.1484,
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0.189055,
0.238584
]
],
"network.0.bias": [
-0.560623,
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-0.209793,
0.302725,
0.515583
],
"network.2.weight": [
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],
[
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0.156015
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[
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[
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0.616673
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[
-0.673489,
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0.888949,
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0.426408
],
[
0.203961,
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0.068666,
0.170406
]
],
"network.2.bias": [
0.119424,
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0.39038,
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0.237567
],
"network.4.weight": [
[
-0.381622,
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],
[
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],
[
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],
[
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0.643685,
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],
[
0.791191,
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],
[
-0.030632,
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],
"network.4.bias": [
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],
"network.6.weight": [
[
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[
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0.75649,
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[
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0.639697,
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[
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[
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]
],
"network.6.bias": [
0.240132,
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0.099994,
0.084738
],
"network.8.weight": [
[
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],
[
0.341475,
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0.088507,
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[
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[
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],
[
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],
[
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0.511819,
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]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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0.454077,
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]
],
"network.10.bias": [
-0.43362
]
}
## Activation Signature
### 0
mean: [-0.554385, 1.557964, -0.424050, -3.730052, 1.033633, 1.382164]
std: [3.078408, 1.758628, 0.935719, 2.739281, 1.726882, 0.761087]
pca: [[0.726290, 0.665878, 0.071881, -0.065201, 0.108564, -0.088911, 0.000000, 0.000000, 0.000000, 0.000000], [-0.296681, 0.362235, -0.445525, 0.545061, -0.050068, -0.531673, 0.000000, 0.000000, 0.000000, 0.000000], [0.099667, -0.225878, 0.126007, 0.393627, 0.876465, 0.005904, 0.000000, 0.000000, 0.000000, 0.000000], [0.608583, -0.567509, -0.406665, 0.243626, -0.265664, -0.110698, 0.000000, 0.000000, 0.000000, 0.000000], [0.063777, -0.095436, 0.781276, 0.428259, -0.334586, -0.284744, 0.000000, 0.000000, 0.000000, 0.000000], [-0.010476, 0.207839, -0.068519, 0.548594, -0.187060, 0.784889, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.297592, 49.481570, 49.894681, 50.709800, 56.951271], [30.671768, 31.771338, 34.691879, 40.519201, 140.216770], [13.220002, 15.075575, 17.543730, 19.089167, 38.164509], [41.336326, 44.861956, 55.891126, 56.834537, 335.704683], [25.079976, 28.318909, 28.681103, 34.383414, 93.027007], [11.425812, 13.447852, 13.718940, 14.488969, 124.394734]]
### 2
mean: [1.115172, -0.497283, 0.559203, 0.881060, 0.729555, 0.366169]
std: [1.597532, 0.579913, 1.260104, 2.088877, 1.428738, 0.460838]
pca: [[0.493454, 0.170338, 0.531093, -0.251119, 0.616911, 0.042302, 0.000000, 0.000000, 0.000000, 0.000000], [-0.174661, 0.004978, -0.219517, 0.651470, 0.615997, -0.342660, 0.000000, 0.000000, 0.000000, 0.000000], [-0.381608, 0.430520, -0.154329, -0.008121, 0.263904, 0.758616, 0.000000, 0.000000, 0.000000, 0.000000], [0.642805, 0.558926, -0.341125, 0.306108, -0.252120, 0.027743, 0.000000, 0.000000, 0.000000, 0.000000], [-0.406481, 0.665409, 0.409769, -0.022878, -0.191014, -0.432531, 0.000000, 0.000000, 0.000000, 0.000000], [0.044126, -0.174483, 0.601380, 0.646711, -0.265090, 0.342700, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.638838, 27.920604, 28.815888, 29.929953, 100.365506], [9.669494, 9.691071, 10.028705, 11.147995, 44.755427], [19.723129, 22.586178, 23.180508, 26.359569, 50.328240], [35.983263, 37.661990, 40.254096, 43.464053, 79.295388], [23.093022, 23.320019, 25.215777, 25.346427, 65.659947], [8.120531, 8.427084, 8.880379, 11.403496, 32.955201]]
### 4
mean: [0.092453, 0.366928, -0.163023, 1.481081, 1.403241, -0.266237]
std: [2.223353, 0.960907, 0.936646, 2.760802, 2.396507, 0.205692]
pca: [[-0.497537, 0.312554, 0.615511, -0.232035, -0.279741, -0.379234, 0.000000, 0.000000, 0.000000, 0.000000], [-0.207602, 0.456678, -0.210829, 0.799169, 0.081048, -0.242196, 0.000000, 0.000000, 0.000000, 0.000000], [-0.208617, -0.152825, 0.535843, 0.375008, 0.117848, 0.701054, 0.000000, 0.000000, 0.000000, 0.000000], [0.619452, -0.243336, 0.384478, 0.361579, -0.446767, -0.280898, 0.000000, 0.000000, 0.000000, 0.000000], [0.531131, 0.697759, 0.254102, -0.179870, 0.331089, 0.156498, 0.000000, 0.000000, 0.000000, 0.000000], [0.004065, -0.352590, 0.277811, 0.061367, 0.769459, -0.450168, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.359740, 36.209244, 37.000890, 42.966038, 43.817346], [16.601900, 16.986522, 18.061012, 20.036362, 33.023506], [14.742675, 15.196075, 16.637995, 17.479285, 18.017830], [44.016441, 46.413886, 52.664983, 55.526595, 133.297347], [39.268980, 40.243533, 43.222457, 46.537201, 126.291681], [3.196193, 3.229608, 3.531065, 3.729548, 23.961298]]
### 6
mean: [1.256862, -0.280082, 2.556244, 2.522949, -0.049284, -0.866508]
std: [2.644117, 0.539891, 4.829199, 3.114176, 2.202378, 1.796734]
pca: [[0.382416, -0.204422, -0.132749, 0.262979, 0.529485, 0.666960, 0.000000, 0.000000, 0.000000, 0.000000], [0.056924, -0.409334, 0.877021, 0.212198, 0.053923, -0.110016, 0.000000, 0.000000, 0.000000, 0.000000], [0.700115, -0.005194, -0.209156, 0.391520, -0.053284, -0.556721, 0.000000, 0.000000, 0.000000, 0.000000], [0.443916, 0.635302, 0.378652, -0.470645, 0.174807, 0.062354, 0.000000, 0.000000, 0.000000, 0.000000], [-0.309030, 0.619591, 0.138029, 0.699522, 0.104652, 0.035667, 0.000000, 0.000000, 0.000000, 0.000000], [-0.260376, -0.055930, -0.083883, -0.147267, 0.819993, -0.477455, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.836516, 45.631830, 51.083036, 53.641473, 113.117548], [9.120905, 9.678513, 10.094891, 10.894432, 25.207351], [76.933576, 81.556200, 91.475668, 97.117827, 230.061954], [49.177266, 53.890759, 54.709139, 60.147952, 227.065410], [35.689893, 36.630407, 39.848417, 43.583894, 44.796742], [29.117568, 30.012746, 33.743324, 35.894179, 77.985710]]
### 8
mean: [-0.060532, 0.006850, 0.679789, 0.612040, -0.065139, 4.420102]
std: [0.068173, 0.509360, 0.626474, 0.481667, 1.419304, 7.350034]
pca: [[-0.006910, -0.027331, 0.721756, -0.490162, -0.194926, 0.447233, 0.000000, 0.000000, 0.000000, 0.000000], [-0.067943, -0.001881, 0.300937, -0.203266, 0.868226, -0.331187, 0.000000, 0.000000, 0.000000, 0.000000], [-0.040772, 0.617372, 0.445193, 0.646557, 0.006721, 0.030183, 0.000000, 0.000000, 0.000000, 0.000000], [-0.006113, 0.541139, -0.432647, -0.250340, 0.319405, 0.596035, 0.000000, 0.000000, 0.000000, 0.000000], [-0.177697, 0.555463, -0.044626, -0.481059, -0.325760, -0.566000, 0.000000, 0.000000, 0.000000, 0.000000], [0.980847, 0.129344, 0.033655, -0.079369, 0.002021, -0.117361, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[0.896639, 0.909409, 1.181020, 1.523904, 5.447859], [7.948185, 8.342521, 8.530225, 9.460978, 10.087237], [9.636140, 10.227834, 12.108254, 12.187630, 61.180981], [7.131673, 7.932347, 8.017245, 8.322170, 55.083640], [23.527525, 24.141668, 26.544812, 28.228651, 28.723500], [119.372396, 124.255802, 135.749928, 147.597020, 397.809164]]
### 10
mean: [-2.865449]
std: [5.221767]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[83.399140, 91.595006, 99.664521, 105.939454, 257.890422]]
## 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
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.5543853044509888, "std": 3.0784082412719727, "pca": [0.7262896299362183, 0.665878415107727, 0.07188119739294052, -0.06520126014947891, 0.10856373608112335, -0.08891059458255768, 0.0, 0.0, 0.0, 0.0], "fourier": [49.29759236491525, 49.481569691223754, 49.894680708646774, 50.70980002975896, 56.95127114688158]}, "1": {"mean": 1.5579642057418823, "std": 1.7586281299591064, "pca": [-0.2966814935207367, 0.362234890460968, -0.4455247223377228, 0.5450607538223267, -0.050067611038684845, -0.5316725373268127, 0.0, 0.0, 0.0, 0.0], "fourier": [30.67176764782206, 31.771338164281055, 34.691878502765114, 40.51920129667119, 140.21676998957992]}, "2": {"mean": -0.42405009269714355, "std": 0.9357194900512695, "pca": [0.09966687858104706, -0.225877583026886, 0.1260070949792862, 0.39362701773643494, 0.8764650225639343, 0.005903599783778191, 0.0, 0.0, 0.0, 0.0], "fourier": [13.22000152483836, 15.075575152278628, 17.543729703793062, 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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"}}
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{"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": [[-1.32036, -0.038656, 0.059356, 0.131313, 1.065576], [0.623951, -0.065281, 0.005952, 0.126101, 0.544149], [0.005908, -0.369507, -0.055547, 0.221821, -0.355889], [-0.461773, -0.983771, 0.011562, -0.452271, -0.168033], [-0.420135, 0.099697, 0.45066, 0.425094, -0.633159], [0.055499, -0.1484, 0.176296, 0.189055, 0.238584]], "network.0.bias": [-0.560623, -0.053519, 0.3212, -0.209793, 0.302725, 0.515583], "network.2.weight": [[0.888063, 0.138254, 0.234658, -1.013432, -0.032582, 0.150819], [-0.362471, -0.099797, 0.210717, 0.219886, -0.071047, 0.156015], [-0.710882, 0.047187, 0.220135, 0.718837, 0.275979, 0.183715], [0.766163, 0.290077, -0.332317, -0.500914, -0.364178, 0.616673], [-0.673489, -0.006982, 0.123456, 0.888949, 0.543809, 0.426408], [0.203961, -0.219065, -0.108913, -0.985954, 0.068666, 0.170406]], "network.2.bias": [0.119424, -0.230166, 0.39038, -0.390904, -0.005701, 0.237567], "network.4.weight": [[-0.381622, -0.14809, 0.606083, -0.595759, 0.384873, -0.398565], [0.028185, 0.395304, -2.6e-05, -0.384025, 0.443203, -0.096075], [-0.072815, -0.311837, 0.20719, -0.315922, 0.079025, -0.669861], [0.766146, -0.144628, -0.41584, 0.643685, -0.433553, -0.301283], [0.791191, -0.566252, -0.143301, 0.538926, -0.006643, 0.364641], [-0.030632, -0.342841, -0.123043, 0.018471, -0.086919, -0.400124]], "network.4.bias": [0.422755, 0.411198, 0.19951, 0.795653, -0.040152, 0.007133], "network.6.weight": [[-0.396925, -0.166378, -0.506636, 0.57402, 0.343544, -0.597601], [-0.195886, -0.210409, -0.695293, 0.428999, -0.411024, -0.347601], [-0.467886, -0.046737, -0.647004, 1.031897, 0.75649, -0.574473], [0.457452, -0.122331, 0.097181, 0.664264, 0.639697, -0.149434], [0.646108, 0.560568, 0.021977, -0.312517, -0.326331, -0.474278], [0.145794, -0.102955, 0.217761, -0.439298, -0.245307, -0.107572]], "network.6.bias": [0.240132, -0.123041, 0.250589, 0.274302, 0.099994, 0.084738], "network.8.weight": [[0.373645, -0.097327, -0.047186, -0.225302, 0.112134, -0.264713], [0.341475, -0.290897, -0.201681, -0.109697, 0.088507, -0.198378], [-0.060018, -0.666211, -0.107062, 0.218853, 0.466175, 0.365819], [-0.456346, -0.537172, 0.026271, 0.387116, 0.316792, 0.286779], [-0.559447, -0.662206, -0.01303, 0.145958, 0.451635, 0.380413], [0.606181, 0.36544, 0.862511, 0.511819, -0.282714, -0.292986]], "network.8.bias": [0.005937, 0.280038, 0.172699, 0.010337, 0.069535, 0.14739], "network.10.weight": [[0.177237, 0.385864, 0.454077, 0.4489, 0.172653, -0.676834]], "network.10.bias": [-0.43362]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6774614453315735, "train_acc": 0.575, "val_loss": 0.7002630829811096, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6750968992710114, "train_acc": 0.575, "val_loss": 0.6978225111961365, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6758615076541901, "train_acc": 0.575, "val_loss": 0.6653388738632202, "val_acc": 0.6}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6638796627521515, "train_acc": 0.635, "val_loss": 0.6245492696762085, "val_acc": 0.68}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6425145864486694, "train_acc": 0.745, "val_loss": 0.5706863403320312, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5867909491062164, "train_acc": 0.705, "val_loss": 0.585914134979248, "val_acc": 0.66}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5496545135974884, "train_acc": 0.74, "val_loss": 0.4617959260940552, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.47149211168289185, "train_acc": 0.775, "val_loss": 0.37303248047828674, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.46355365216732025, "train_acc": 0.78, "val_loss": 0.37082013487815857, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.44887784123420715, "train_acc": 0.78, "val_loss": 0.3315681219100952, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.4070873558521271, "train_acc": 0.81, "val_loss": 0.35098403692245483, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.39489510655403137, "train_acc": 0.83, "val_loss": 0.3198448121547699, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.4008985459804535, "train_acc": 0.85, "val_loss": 0.25139185786247253, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.32496316730976105, "train_acc": 0.85, "val_loss": 0.22225064039230347, "val_acc": 0.92}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.7002630829811096, "final_val_loss": 0.6245492696762085, "initial_val_acc": 0.52, "final_val_acc": 0.68, "best_val_acc": 0.68}, "improved_stage": {"initial_val_loss": 0.5706863403320312, "final_val_loss": 0.22225064039230347, "initial_val_acc": 0.8, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 12}, "improvement": 0.24, "first_improvement_epoch": 3}}
|
9,637
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.56, "improved_accuracy": 1.0, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1856, "learning_rate": 0.03608979910871361, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.08549
],
[
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[
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],
[
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],
[
0.180239,
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],
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [1.458572, -1.943860, 2.809851, -1.098520, 1.125291]
std: [1.532747, 1.164118, 2.376403, 2.438038, 1.335222]
pca: [[0.373267, -0.035986, 0.719630, -0.578491, -0.082813, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.275563, -0.191756, 0.518496, 0.380605, 0.688183, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.612351, 0.358567, -0.304771, -0.096212, 0.627944, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.589750, 0.690945, 0.042124, -0.391305, 0.141054, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.248913, 0.596623, 0.344434, 0.598425, -0.324555, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.204126, 26.796140, 26.913220, 28.573835, 131.271476], [18.667588, 18.831875, 19.954860, 23.062193, 174.947422], [37.156106, 38.431796, 45.581651, 48.277279, 252.886579], [39.371798, 39.683170, 39.766340, 41.136012, 98.866777], [21.568291, 23.963364, 24.541452, 28.596942, 101.276155]]
### 2
mean: [2.708484, -0.431589, 3.373183, 0.642097, 1.727931]
std: [2.137464, 0.801901, 2.829466, 0.513187, 1.681437]
pca: [[0.532195, 0.319874, -0.484175, 0.613727, 0.057987, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.172258, 0.754063, -0.312779, -0.461979, -0.300768, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.709888, -0.179465, 0.192787, -0.315935, -0.571725, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.075176, 0.533326, 0.793902, 0.279453, 0.039212, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.421310, 0.111473, 0.017225, -0.481669, 0.760112, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.392364, 36.938456, 40.976583, 45.698740, 243.763566], [12.929472, 13.216871, 13.741368, 14.769355, 38.842973], [44.551070, 50.686971, 53.662482, 56.216129, 303.586443], [8.057932, 8.074249, 8.276373, 10.440164, 57.788756], [26.276782, 29.354841, 32.220610, 33.403942, 155.513762]]
### 4
mean: [5.801898, 5.316029, 3.407032, -2.304895, 3.433673]
std: [4.160340, 4.217941, 2.742744, 1.476832, 2.858858]
pca: [[0.571356, 0.650213, 0.319786, -0.383926, -0.033360, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.580546, -0.280714, 0.334822, 0.677410, -0.114788, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.376304, -0.480751, -0.310164, -0.463678, -0.562205, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.200636, -0.428716, 0.788650, -0.377166, 0.108285, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.393268, -0.288970, -0.259732, -0.190959, 0.811117, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[65.898082, 73.019873, 82.093568, 82.940937, 522.170891], [67.987509, 75.724544, 80.497999, 85.254079, 478.442585], [43.192638, 48.978870, 51.565720, 54.427040, 306.632931], [22.389835, 26.192390, 27.503768, 29.161061, 207.440530], [45.265690, 51.075196, 54.138803, 56.936138, 309.030576]]
### 6
mean: [3.636338, -0.368174, -1.041378, -0.528094, 9.243380]
std: [2.721440, 0.493957, 1.407664, 0.842545, 7.224434]
pca: [[0.343865, -0.441390, 0.246615, 0.756055, -0.233437, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.061970, 0.016616, 0.954633, -0.287326, -0.044770, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.174653, 0.703092, 0.033039, 0.285708, -0.626448, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.104398, 0.433040, 0.163576, 0.475626, 0.740676, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.914611, 0.350766, -0.003058, -0.194872, 0.049649, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.138448, 49.060981, 51.314065, 53.780942, 327.270411], [8.328438, 8.971821, 9.248858, 10.264982, 33.135648], [22.402610, 24.828178, 25.718444, 27.281678, 93.724056], [13.410688, 14.754511, 15.435273, 16.367177, 47.528444], [114.924593, 128.810004, 139.750527, 143.846017, 831.904187]]
### 8
mean: [7.647253, 7.023292, -1.530623, -3.587436, 6.220867]
std: [6.267308, 5.829534, 0.686659, 2.526163, 4.631783]
pca: [[0.622064, -0.434632, -0.255381, 0.225289, -0.555119, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.578686, -0.287431, 0.300870, -0.101033, 0.694100, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.067944, 0.043965, 0.620552, 0.775738, -0.081220, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.250578, -0.279275, -0.617729, 0.533970, 0.438752, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.459078, 0.805327, -0.278540, 0.228350, 0.104724, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[100.508164, 112.802423, 118.581379, 125.049619, 688.252695], [93.575125, 104.729089, 110.555551, 116.564857, 632.096182], [10.682296, 12.237992, 13.001953, 13.617129, 137.756046], [40.367636, 44.939262, 48.821878, 50.514362, 322.869238], [73.059030, 82.376783, 90.425746, 91.600759, 559.878054]]
### 10
mean: [1.474347, 0.934318, 7.935842, 7.934186, -3.947152]
std: [0.862730, 0.189068, 6.628772, 6.440218, 3.029372]
pca: [[0.087458, 0.542161, 0.822554, 0.137683, -0.053484, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.004092, 0.820016, -0.559955, 0.088280, -0.078829, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.678940, 0.097773, -0.005972, -0.677406, 0.265642, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.659626, -0.122848, -0.097108, 0.713543, 0.176717, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.310272, 0.094784, 0.019726, 0.072301, 0.942937, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.456502, 15.000613, 17.108740, 17.143870, 132.691199], [2.935434, 2.970476, 2.971210, 3.115157, 84.088594], [105.878150, 119.404476, 127.040834, 131.063662, 714.225779], [102.976639, 116.192383, 123.116605, 127.279168, 714.076769], [48.460938, 54.683860, 57.857495, 59.864426, 355.243686]]
### 12
mean: [-5.207233]
std: [5.113559]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[82.009190, 92.653046, 97.109580, 100.800211, 468.650997]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.793834,
0.13743,
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0.08549
],
[
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[
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0.733423,
0.199686,
0.312863,
-0.115813
],
[
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-0.101437,
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0.473084
],
[
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],
"network.0.bias": [
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"network.2.weight": [
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],
[
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0.667223,
-0.449232,
0.115234
],
[
0.494891,
0.128941,
-0.182035,
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0.148564
],
[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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0.17422,
0.187745
],
[
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-0.003802,
0.843362,
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0.14145
],
[
0.08934,
0.051849,
-0.306998,
-0.584779,
-0.364898
],
[
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0.577756,
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]
],
"network.4.bias": [
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0.256501,
0.251039,
-0.494532,
0.155646
],
"network.6.weight": [
[
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0.414077,
0.620304,
-0.221998,
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],
[
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-0.427074,
0.269043,
0.341885,
0.054491
],
[
0.553798,
-0.450812,
-0.244423,
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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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-0.417382
],
[
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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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],
"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: [1.458572, -1.943860, 2.809851, -1.098520, 1.125291]
std: [1.532747, 1.164118, 2.376403, 2.438038, 1.335222]
pca: [[0.373267, -0.035986, 0.719630, -0.578491, -0.082813, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.275563, -0.191756, 0.518496, 0.380605, 0.688183, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.612351, 0.358567, -0.304771, -0.096212, 0.627944, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.589750, 0.690945, 0.042124, -0.391305, 0.141054, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.248913, 0.596623, 0.344434, 0.598425, -0.324555, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.204126, 26.796140, 26.913220, 28.573835, 131.271476], [18.667588, 18.831875, 19.954860, 23.062193, 174.947422], [37.156106, 38.431796, 45.581651, 48.277279, 252.886579], [39.371798, 39.683170, 39.766340, 41.136012, 98.866777], [21.568291, 23.963364, 24.541452, 28.596942, 101.276155]]
### 2
mean: [2.708484, -0.431589, 3.373183, 0.642097, 1.727931]
std: [2.137464, 0.801901, 2.829466, 0.513187, 1.681437]
pca: [[0.532195, 0.319874, -0.484175, 0.613727, 0.057987, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.172258, 0.754063, -0.312779, -0.461979, -0.300768, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.709888, -0.179465, 0.192787, -0.315935, -0.571725, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.075176, 0.533326, 0.793902, 0.279453, 0.039212, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.421310, 0.111473, 0.017225, -0.481669, 0.760112, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.392364, 36.938456, 40.976583, 45.698740, 243.763566], [12.929472, 13.216871, 13.741368, 14.769355, 38.842973], [44.551070, 50.686971, 53.662482, 56.216129, 303.586443], [8.057932, 8.074249, 8.276373, 10.440164, 57.788756], [26.276782, 29.354841, 32.220610, 33.403942, 155.513762]]
### 4
mean: [5.801898, 5.316029, 3.407032, -2.304895, 3.433673]
std: [4.160340, 4.217941, 2.742744, 1.476832, 2.858858]
pca: [[0.571356, 0.650213, 0.319786, -0.383926, -0.033360, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.580546, -0.280714, 0.334822, 0.677410, -0.114788, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.376304, -0.480751, -0.310164, -0.463678, -0.562205, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.200636, -0.428716, 0.788650, -0.377166, 0.108285, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.393268, -0.288970, -0.259732, -0.190959, 0.811117, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[65.898082, 73.019873, 82.093568, 82.940937, 522.170891], [67.987509, 75.724544, 80.497999, 85.254079, 478.442585], [43.192638, 48.978870, 51.565720, 54.427040, 306.632931], [22.389835, 26.192390, 27.503768, 29.161061, 207.440530], [45.265690, 51.075196, 54.138803, 56.936138, 309.030576]]
### 6
mean: [3.636338, -0.368174, -1.041378, -0.528094, 9.243380]
std: [2.721440, 0.493957, 1.407664, 0.842545, 7.224434]
pca: [[0.343865, -0.441390, 0.246615, 0.756055, -0.233437, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.061970, 0.016616, 0.954633, -0.287326, -0.044770, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.174653, 0.703092, 0.033039, 0.285708, -0.626448, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.104398, 0.433040, 0.163576, 0.475626, 0.740676, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.914611, 0.350766, -0.003058, -0.194872, 0.049649, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.138448, 49.060981, 51.314065, 53.780942, 327.270411], [8.328438, 8.971821, 9.248858, 10.264982, 33.135648], [22.402610, 24.828178, 25.718444, 27.281678, 93.724056], [13.410688, 14.754511, 15.435273, 16.367177, 47.528444], [114.924593, 128.810004, 139.750527, 143.846017, 831.904187]]
### 8
mean: [7.647253, 7.023292, -1.530623, -3.587436, 6.220867]
std: [6.267308, 5.829534, 0.686659, 2.526163, 4.631783]
pca: [[0.622064, -0.434632, -0.255381, 0.225289, -0.555119, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.578686, -0.287431, 0.300870, -0.101033, 0.694100, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.067944, 0.043965, 0.620552, 0.775738, -0.081220, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.250578, -0.279275, -0.617729, 0.533970, 0.438752, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.459078, 0.805327, -0.278540, 0.228350, 0.104724, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[100.508164, 112.802423, 118.581379, 125.049619, 688.252695], [93.575125, 104.729089, 110.555551, 116.564857, 632.096182], [10.682296, 12.237992, 13.001953, 13.617129, 137.756046], [40.367636, 44.939262, 48.821878, 50.514362, 322.869238], [73.059030, 82.376783, 90.425746, 91.600759, 559.878054]]
### 10
mean: [1.474347, 0.934318, 7.935842, 7.934186, -3.947152]
std: [0.862730, 0.189068, 6.628772, 6.440218, 3.029372]
pca: [[0.087458, 0.542161, 0.822554, 0.137683, -0.053484, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.004092, 0.820016, -0.559955, 0.088280, -0.078829, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.678940, 0.097773, -0.005972, -0.677406, 0.265642, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.659626, -0.122848, -0.097108, 0.713543, 0.176717, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.310272, 0.094784, 0.019726, 0.072301, 0.942937, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.456502, 15.000613, 17.108740, 17.143870, 132.691199], [2.935434, 2.970476, 2.971210, 3.115157, 84.088594], [105.878150, 119.404476, 127.040834, 131.063662, 714.225779], [102.976639, 116.192383, 123.116605, 127.279168, 714.076769], [48.460938, 54.683860, 57.857495, 59.864426, 355.243686]]
### 12
mean: [-5.207233]
std: [5.113559]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[82.009190, 92.653046, 97.109580, 100.800211, 468.650997]]
## 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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0.0], "fourier": [48.46093806067439, 54.68385972593689, 57.857495224251124, 59.86442644549325, 355.2436864376068]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "12": {"neuron_profiles": {"0": {"mean": -5.20723295211792, "std": 5.113559246063232, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [82.00918969134904, 92.65304604043469, 97.10957977214885, 100.80021143889219, 468.65099662542343]}}, "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": [[0.043806, 0.793834, 0.13743, -0.132364, 0.08549], [-0.380986, -0.230355, -0.099784, -0.112778, -0.079022], [0.561717, 0.733423, 0.199686, 0.312863, -0.115813], [-0.539097, -0.922307, -0.101437, 0.319778, 0.473084], [0.180239, 0.386429, -0.197677, 0.38889, 0.040692]], "network.0.bias": [-0.151151, -0.502243, -0.170837, 0.195681, -0.274381], "network.2.weight": [[0.277811, -0.137511, 0.501009, -0.35317, 0.505557], [-0.377052, -0.361395, 0.033281, 0.529431, -0.071265], [0.750741, 0.279421, 0.667223, -0.449232, 0.115234], [0.494891, 0.128941, -0.182035, 0.326186, 0.148564], [0.368762, 0.300384, 0.486183, -0.118298, 0.012265]], "network.2.bias": [0.371779, -0.06089, 0.371574, 0.106074, -0.177153], "network.4.weight": [[0.658237, 0.279269, 0.682317, 0.651868, 0.411265], [0.744152, -0.562155, 0.788986, 0.17422, 0.187745], [0.137358, -0.003802, 0.843362, -0.503434, 0.14145], [0.08934, 0.051849, -0.306998, -0.584779, -0.364898], [0.220168, -0.184172, 0.577756, -0.17209, 0.487642]], "network.4.bias": [0.523436, 0.256501, 0.251039, -0.494532, 0.155646], "network.6.weight": [[-0.212178, 0.414077, 0.620304, -0.221998, 0.057556], [0.101121, -0.427074, 0.269043, 0.341885, 0.054491], [0.553798, -0.450812, -0.244423, -0.033577, -0.390354], [0.370983, -0.315948, -0.022799, -0.159007, -0.340762], [0.526354, 0.564884, 0.292042, -0.061972, 0.658206]], "network.6.bias": [0.34395, 0.212064, 0.325581, 0.253097, -0.082934], "network.8.weight": [[0.492438, -0.466855, -0.651176, -0.331786, 0.662079], [0.151225, -0.498292, -0.530615, -0.455919, 0.730096], [-0.450714, 0.363777, -0.328678, 0.164346, 0.072722], [0.184405, 0.322253, 0.297199, -0.404438, -0.417382], [0.362621, 0.255186, 0.224487, 0.468118, 0.517255]], "network.8.bias": [-0.125386, -0.138182, -0.549303, -0.409411, 0.031219], "network.10.weight": [[-0.499638, 0.405019, -0.323666, 0.008494, 0.350596], [-0.122761, -0.387999, -0.390655, 0.398729, 0.644012], [0.3887, 0.709245, -0.073151, 0.140114, 0.019451], [0.502465, 0.680362, 0.379055, -0.396895, -0.138611], [-0.243183, -0.335713, -0.285822, 0.335681, 0.094113]], "network.10.bias": [0.272386, 0.603211, -0.163555, 0.148921, -0.302066], "network.12.weight": [[0.489448, 0.453282, -0.582025, -0.25735, 0.350957]], "network.12.bias": [0.311404]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7066870033740997, "train_acc": 0.44, "val_loss": 0.6803387403488159, "val_acc": 0.78}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6822930574417114, "train_acc": 0.665, "val_loss": 0.6479322910308838, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6398500800132751, "train_acc": 0.56, "val_loss": 0.5601669549942017, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6132216453552246, "train_acc": 0.485, "val_loss": 0.4652654230594635, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5039782375097275, "train_acc": 0.63, "val_loss": 0.41322189569473267, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4392774999141693, "train_acc": 0.765, "val_loss": 0.2790678143501282, "val_acc": 0.98}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.367230162024498, "train_acc": 0.89, "val_loss": 0.23098750412464142, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3291309028863907, "train_acc": 0.88, "val_loss": 0.12240655720233917, "val_acc": 1.0}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2757541984319687, "train_acc": 0.91, "val_loss": 0.08204006403684616, "val_acc": 1.0}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.21494483202695847, "train_acc": 0.915, "val_loss": 0.04832468554377556, "val_acc": 1.0}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.18896057456731796, "train_acc": 0.94, "val_loss": 0.061542920768260956, "val_acc": 1.0}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.15549153834581375, "train_acc": 0.94, "val_loss": 0.09210378676652908, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.19280840456485748, "train_acc": 0.93, "val_loss": 0.061212893575429916, "val_acc": 0.98}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6803387403488159, "final_val_loss": 0.5601669549942017, "initial_val_acc": 0.78, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.4652654230594635, "final_val_loss": 0.061212893575429916, "initial_val_acc": 0.56, "final_val_acc": 0.98, "best_val_acc": 1.0, "best_epoch": 7}, "improvement": 0.43999999999999995, "first_improvement_epoch": 2}}
|
9,638
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.5, "improved_accuracy": 1.0, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1431, "learning_rate": 0.02306105112132268, "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: 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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0.409949
],
[
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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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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [0.469352, 0.431883, 1.968035, 1.761539, 0.352330, 1.090558]
std: [1.227623, 1.309312, 1.527435, 1.957520, 1.772295, 0.983237]
pca: [[0.315795, -0.345236, 0.155478, 0.825704, 0.274077, -0.002691, 0.000000, 0.000000, 0.000000, 0.000000], [-0.293688, 0.416559, -0.413649, 0.533094, -0.506629, 0.168104, 0.000000, 0.000000, 0.000000, 0.000000], [0.393783, 0.477531, 0.428040, 0.068051, -0.305730, -0.579292, 0.000000, 0.000000, 0.000000, 0.000000], [0.588182, 0.466325, -0.464189, -0.078176, 0.410646, 0.215336, 0.000000, 0.000000, 0.000000, 0.000000], [-0.508389, 0.501320, 0.368754, 0.143913, 0.575030, 0.053568, 0.000000, 0.000000, 0.000000, 0.000000], [0.233535, 0.102341, 0.519665, -0.050707, -0.274680, 0.766104, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.236089, 19.004772, 19.124698, 20.243832, 42.241703], [21.795531, 21.958816, 22.634467, 23.908044, 38.869436], [23.413120, 23.737764, 24.674973, 31.048948, 177.123131], [30.414921, 32.239396, 34.952833, 41.587418, 158.538480], [27.946666, 30.144242, 31.709708, 31.839328, 31.932542], [15.608097, 16.609536, 18.614728, 19.363539, 98.150226]]
### 2
mean: [-0.919523, 1.264820, 0.262417, 1.438309, 1.269003, 1.871629]
std: [1.144449, 1.354272, 0.807711, 1.955304, 1.025232, 1.590295]
pca: [[-0.301648, -0.493961, 0.066409, 0.763505, 0.014056, 0.278323, 0.000000, 0.000000, 0.000000, 0.000000], [0.402909, -0.150667, 0.775032, -0.019001, -0.458662, 0.059638, 0.000000, 0.000000, 0.000000, 0.000000], [0.116751, -0.420789, -0.459507, -0.363501, -0.454369, 0.509485, 0.000000, 0.000000, 0.000000, 0.000000], [0.659952, -0.221387, -0.381427, 0.335183, -0.071296, -0.502528, 0.000000, 0.000000, 0.000000, 0.000000], [0.018946, 0.691079, -0.193216, 0.404076, -0.526134, 0.211244, 0.000000, 0.000000, 0.000000, 0.000000], [0.545112, 0.172151, 0.030813, 0.094557, 0.548708, 0.601869, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.261502, 17.589558, 20.347563, 22.820742, 82.757032], [21.114360, 23.637155, 24.383333, 26.731211, 113.833809], [12.194734, 13.425103, 13.547760, 16.633513, 23.617503], [31.850879, 31.995924, 32.599002, 38.568842, 129.447810], [15.278951, 15.293017, 15.435004, 15.626933, 114.210281], [26.094847, 26.102014, 28.341038, 28.945143, 168.446643]]
### 4
mean: [-0.942473, 2.108854, -1.017107, 1.125777, -1.036178, 0.853082]
std: [0.690253, 2.255504, 1.749686, 0.675405, 2.210406, 1.053416]
pca: [[-0.120316, -0.427528, 0.780915, 0.105154, -0.405214, -0.132888, 0.000000, 0.000000, 0.000000, 0.000000], [0.600539, 0.063283, -0.133699, 0.689200, -0.360539, 0.111748, 0.000000, 0.000000, 0.000000, 0.000000], [-0.462921, 0.246961, 0.037801, 0.111752, -0.281843, 0.794582, 0.000000, 0.000000, 0.000000, 0.000000], [0.016028, 0.756357, 0.145388, -0.239643, -0.465385, -0.364030, 0.000000, 0.000000, 0.000000, 0.000000], [-0.587925, 0.150034, -0.068085, 0.650481, 0.188495, -0.410541, 0.000000, 0.000000, 0.000000, 0.000000], [0.254300, 0.397038, 0.587447, 0.144582, 0.611771, 0.193470, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.280413, 10.384076, 11.348872, 12.241573, 84.822601], [37.415391, 38.926401, 40.109595, 42.712136, 189.796896], [29.051396, 29.144384, 32.696034, 34.632786, 91.539642], [9.468299, 9.710906, 12.662774, 13.924955, 101.319927], [36.796482, 36.843188, 40.583742, 43.602967, 93.256038], [16.563519, 17.562768, 18.316506, 19.515749, 76.777370]]
### 6
mean: [1.747686, -0.439347, -0.613341, -0.512895, -0.335718, -0.460164]
std: [1.535543, 1.106943, 0.928961, 1.519407, 0.786717, 1.470542]
pca: [[0.494598, 0.655434, 0.208414, 0.327843, 0.376067, 0.182852, 0.000000, 0.000000, 0.000000, 0.000000], [-0.360185, 0.248466, -0.094945, -0.362919, 0.012375, 0.817101, 0.000000, 0.000000, 0.000000, 0.000000], [-0.298596, -0.394234, 0.511187, 0.617251, 0.102695, 0.320254, 0.000000, 0.000000, 0.000000, 0.000000], [-0.491412, 0.547612, -0.117820, 0.400725, -0.489356, -0.211433, 0.000000, 0.000000, 0.000000, 0.000000], [-0.253787, 0.224416, 0.758234, -0.464187, 0.072622, -0.299279, 0.000000, 0.000000, 0.000000, 0.000000], [-0.480194, 0.054858, -0.312149, 0.061315, 0.776615, -0.249154, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.514618, 25.710447, 26.555737, 29.266272, 157.291761], [18.535544, 19.220332, 19.642177, 21.809988, 39.541255], [15.249022, 15.536120, 15.959363, 17.852702, 55.200660], [25.635269, 25.782179, 27.537209, 29.828679, 46.160531], [13.309169, 13.317853, 14.072299, 15.636072, 30.214584], [24.077851, 25.200402, 26.446634, 28.802694, 41.414773]]
### 8
mean: [-0.508175, -0.486202, -0.160988, -0.927407, 0.672280, 1.069594]
std: [0.508852, 1.236881, 0.717295, 0.746932, 0.949371, 1.338455]
pca: [[-0.217468, 0.065424, 0.860525, 0.417152, -0.182940, 0.021018, 0.000000, 0.000000, 0.000000, 0.000000], [-0.530622, 0.276272, 0.033003, -0.036963, 0.780441, -0.174847, 0.000000, 0.000000, 0.000000, 0.000000], [-0.300986, -0.400208, -0.381922, 0.703312, 0.059167, 0.324390, 0.000000, 0.000000, 0.000000, 0.000000], [-0.294196, 0.756986, -0.235418, 0.031652, -0.370783, 0.382776, 0.000000, 0.000000, 0.000000, 0.000000], [0.403326, 0.390637, -0.177596, 0.562210, 0.040311, -0.579210, 0.000000, 0.000000, 0.000000, 0.000000], [0.575615, 0.183307, 0.159943, 0.113528, 0.463508, 0.617864, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.924101, 9.040986, 9.083352, 9.233739, 45.735741], [19.190571, 21.771531, 22.593264, 22.739809, 43.758133], [11.190067, 11.502792, 11.521394, 14.488939, 15.395459], [12.257180, 12.401126, 12.886824, 14.355217, 83.466610], [14.624734, 15.728140, 16.039958, 19.624285, 60.505186], [20.352072, 23.036714, 23.492211, 26.546418, 96.263446]]
### 10
mean: [0.914034, -0.077358, 1.398509, 1.986248, 0.802321, 0.808923]
std: [1.044642, 0.618851, 1.304115, 1.782260, 1.025450, 0.881112]
pca: [[0.366251, -0.061727, 0.234930, 0.615320, -0.443457, 0.481233, 0.000000, 0.000000, 0.000000, 0.000000], [-0.213285, 0.532335, 0.105547, -0.518530, -0.355373, 0.514612, 0.000000, 0.000000, 0.000000, 0.000000], [0.455969, -0.456948, -0.565931, -0.417636, -0.206644, 0.214222, 0.000000, 0.000000, 0.000000, 0.000000], [0.623446, 0.587098, -0.070004, -0.030387, -0.169027, -0.481909, 0.000000, 0.000000, 0.000000, 0.000000], [0.359207, 0.223484, -0.005411, 0.008220, 0.778011, 0.464356, 0.000000, 0.000000, 0.000000, 0.000000], [0.307809, -0.330725, 0.780038, -0.420829, 0.021949, -0.099174, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.073713, 17.224565, 17.334390, 21.331351, 82.263028], [9.369531, 9.550915, 9.750799, 10.679838, 12.593583], [20.631839, 21.693267, 21.895550, 26.762514, 125.865828], [28.492943, 29.318912, 30.435099, 36.089214, 178.762301], [16.500729, 16.828185, 17.426859, 20.875192, 72.208912], [14.338741, 14.354020, 14.395659, 18.551655, 72.803108]]
### 12
mean: [-3.539412]
std: [3.224293]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[52.535244, 54.204867, 55.338975, 63.986012, 318.547100]]
## 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: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.498418,
0.211997,
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0.174641
],
[
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0.266689,
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0.288482
],
[
0.294342,
0.064917,
0.491469,
0.274321,
0.126418
],
[
0.297022,
0.526501,
0.573076,
-0.310685,
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[
-0.777275,
-0.203103,
0.291638,
0.30352,
0.21965
],
[
0.3354,
-0.109561,
0.130283,
0.340218,
0.030567
]
],
"network.0.bias": [
0.055908,
0.753379,
-0.287357,
-0.041198,
0.158721,
-0.16661
],
"network.2.weight": [
[
-0.051519,
-0.263418,
-0.360009,
-0.368572,
-0.460885,
0.269387
],
[
0.349163,
-0.218668,
0.447635,
0.015673,
-0.032466,
0.409949
],
[
0.591785,
0.047922,
-0.160856,
0.104514,
-0.369227,
-0.161002
],
[
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0.633757,
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],
[
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0.140865,
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],
[
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0.634279,
0.137798,
0.16268
]
],
"network.2.bias": [
0.74502,
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0.448344,
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0.52107,
0.012813
],
"network.4.weight": [
[
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-0.078423,
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],
[
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0.735862,
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0.315066
],
[
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0.116293
],
[
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0.173718,
0.343802,
0.195724
],
[
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-0.767191,
0.478637,
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],
[
0.370696,
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0.472995,
0.49059,
0.144501,
0.10731
]
],
"network.4.bias": [
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0.111544,
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0.264151,
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],
"network.6.weight": [
[
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],
[
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0.428267,
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[
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[
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[
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0.516901,
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[
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0.294596,
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]
],
"network.6.bias": [
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0.109686,
0.136768,
0.157598,
-0.074353,
0.498497
],
"network.8.weight": [
[
-0.186904,
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[
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0.282082,
0.292831,
0.602269,
0.407691
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[
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[
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[
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],
[
0.426001,
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-0.567883,
-0.690601
]
],
"network.8.bias": [
-0.281468,
0.159162,
-0.195459,
-0.201775,
0.545776,
0.708076
],
"network.10.weight": [
[
-0.460772,
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-0.002787,
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0.645838,
0.286414
],
[
0.432619,
0.477442,
0.134485,
-0.014832,
-0.113306,
-0.220977
],
[
-0.202818,
-0.649609,
-0.543523,
-0.084445,
0.256988,
0.604476
],
[
-0.466643,
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0.798091,
0.836724
],
[
-0.461048,
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0.385325
],
[
-0.129343,
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0.728374,
0.087957
]
],
"network.10.bias": [
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0.187499,
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-0.038674,
0.180368
],
"network.12.weight": [
[
-0.475197,
0.19538,
-0.630524,
-0.879053,
-0.377878,
-0.378393
]
],
"network.12.bias": [
0.23606
]
}
## Activation Signature
### 0
mean: [0.469352, 0.431883, 1.968035, 1.761539, 0.352330, 1.090558]
std: [1.227623, 1.309312, 1.527435, 1.957520, 1.772295, 0.983237]
pca: [[0.315795, -0.345236, 0.155478, 0.825704, 0.274077, -0.002691, 0.000000, 0.000000, 0.000000, 0.000000], [-0.293688, 0.416559, -0.413649, 0.533094, -0.506629, 0.168104, 0.000000, 0.000000, 0.000000, 0.000000], [0.393783, 0.477531, 0.428040, 0.068051, -0.305730, -0.579292, 0.000000, 0.000000, 0.000000, 0.000000], [0.588182, 0.466325, -0.464189, -0.078176, 0.410646, 0.215336, 0.000000, 0.000000, 0.000000, 0.000000], [-0.508389, 0.501320, 0.368754, 0.143913, 0.575030, 0.053568, 0.000000, 0.000000, 0.000000, 0.000000], [0.233535, 0.102341, 0.519665, -0.050707, -0.274680, 0.766104, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.236089, 19.004772, 19.124698, 20.243832, 42.241703], [21.795531, 21.958816, 22.634467, 23.908044, 38.869436], [23.413120, 23.737764, 24.674973, 31.048948, 177.123131], [30.414921, 32.239396, 34.952833, 41.587418, 158.538480], [27.946666, 30.144242, 31.709708, 31.839328, 31.932542], [15.608097, 16.609536, 18.614728, 19.363539, 98.150226]]
### 2
mean: [-0.919523, 1.264820, 0.262417, 1.438309, 1.269003, 1.871629]
std: [1.144449, 1.354272, 0.807711, 1.955304, 1.025232, 1.590295]
pca: [[-0.301648, -0.493961, 0.066409, 0.763505, 0.014056, 0.278323, 0.000000, 0.000000, 0.000000, 0.000000], [0.402909, -0.150667, 0.775032, -0.019001, -0.458662, 0.059638, 0.000000, 0.000000, 0.000000, 0.000000], [0.116751, -0.420789, -0.459507, -0.363501, -0.454369, 0.509485, 0.000000, 0.000000, 0.000000, 0.000000], [0.659952, -0.221387, -0.381427, 0.335183, -0.071296, -0.502528, 0.000000, 0.000000, 0.000000, 0.000000], [0.018946, 0.691079, -0.193216, 0.404076, -0.526134, 0.211244, 0.000000, 0.000000, 0.000000, 0.000000], [0.545112, 0.172151, 0.030813, 0.094557, 0.548708, 0.601869, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.261502, 17.589558, 20.347563, 22.820742, 82.757032], [21.114360, 23.637155, 24.383333, 26.731211, 113.833809], [12.194734, 13.425103, 13.547760, 16.633513, 23.617503], [31.850879, 31.995924, 32.599002, 38.568842, 129.447810], [15.278951, 15.293017, 15.435004, 15.626933, 114.210281], [26.094847, 26.102014, 28.341038, 28.945143, 168.446643]]
### 4
mean: [-0.942473, 2.108854, -1.017107, 1.125777, -1.036178, 0.853082]
std: [0.690253, 2.255504, 1.749686, 0.675405, 2.210406, 1.053416]
pca: [[-0.120316, -0.427528, 0.780915, 0.105154, -0.405214, -0.132888, 0.000000, 0.000000, 0.000000, 0.000000], [0.600539, 0.063283, -0.133699, 0.689200, -0.360539, 0.111748, 0.000000, 0.000000, 0.000000, 0.000000], [-0.462921, 0.246961, 0.037801, 0.111752, -0.281843, 0.794582, 0.000000, 0.000000, 0.000000, 0.000000], [0.016028, 0.756357, 0.145388, -0.239643, -0.465385, -0.364030, 0.000000, 0.000000, 0.000000, 0.000000], [-0.587925, 0.150034, -0.068085, 0.650481, 0.188495, -0.410541, 0.000000, 0.000000, 0.000000, 0.000000], [0.254300, 0.397038, 0.587447, 0.144582, 0.611771, 0.193470, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.280413, 10.384076, 11.348872, 12.241573, 84.822601], [37.415391, 38.926401, 40.109595, 42.712136, 189.796896], [29.051396, 29.144384, 32.696034, 34.632786, 91.539642], [9.468299, 9.710906, 12.662774, 13.924955, 101.319927], [36.796482, 36.843188, 40.583742, 43.602967, 93.256038], [16.563519, 17.562768, 18.316506, 19.515749, 76.777370]]
### 6
mean: [1.747686, -0.439347, -0.613341, -0.512895, -0.335718, -0.460164]
std: [1.535543, 1.106943, 0.928961, 1.519407, 0.786717, 1.470542]
pca: [[0.494598, 0.655434, 0.208414, 0.327843, 0.376067, 0.182852, 0.000000, 0.000000, 0.000000, 0.000000], [-0.360185, 0.248466, -0.094945, -0.362919, 0.012375, 0.817101, 0.000000, 0.000000, 0.000000, 0.000000], [-0.298596, -0.394234, 0.511187, 0.617251, 0.102695, 0.320254, 0.000000, 0.000000, 0.000000, 0.000000], [-0.491412, 0.547612, -0.117820, 0.400725, -0.489356, -0.211433, 0.000000, 0.000000, 0.000000, 0.000000], [-0.253787, 0.224416, 0.758234, -0.464187, 0.072622, -0.299279, 0.000000, 0.000000, 0.000000, 0.000000], [-0.480194, 0.054858, -0.312149, 0.061315, 0.776615, -0.249154, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.514618, 25.710447, 26.555737, 29.266272, 157.291761], [18.535544, 19.220332, 19.642177, 21.809988, 39.541255], [15.249022, 15.536120, 15.959363, 17.852702, 55.200660], [25.635269, 25.782179, 27.537209, 29.828679, 46.160531], [13.309169, 13.317853, 14.072299, 15.636072, 30.214584], [24.077851, 25.200402, 26.446634, 28.802694, 41.414773]]
### 8
mean: [-0.508175, -0.486202, -0.160988, -0.927407, 0.672280, 1.069594]
std: [0.508852, 1.236881, 0.717295, 0.746932, 0.949371, 1.338455]
pca: [[-0.217468, 0.065424, 0.860525, 0.417152, -0.182940, 0.021018, 0.000000, 0.000000, 0.000000, 0.000000], [-0.530622, 0.276272, 0.033003, -0.036963, 0.780441, -0.174847, 0.000000, 0.000000, 0.000000, 0.000000], [-0.300986, -0.400208, -0.381922, 0.703312, 0.059167, 0.324390, 0.000000, 0.000000, 0.000000, 0.000000], [-0.294196, 0.756986, -0.235418, 0.031652, -0.370783, 0.382776, 0.000000, 0.000000, 0.000000, 0.000000], [0.403326, 0.390637, -0.177596, 0.562210, 0.040311, -0.579210, 0.000000, 0.000000, 0.000000, 0.000000], [0.575615, 0.183307, 0.159943, 0.113528, 0.463508, 0.617864, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.924101, 9.040986, 9.083352, 9.233739, 45.735741], [19.190571, 21.771531, 22.593264, 22.739809, 43.758133], [11.190067, 11.502792, 11.521394, 14.488939, 15.395459], [12.257180, 12.401126, 12.886824, 14.355217, 83.466610], [14.624734, 15.728140, 16.039958, 19.624285, 60.505186], [20.352072, 23.036714, 23.492211, 26.546418, 96.263446]]
### 10
mean: [0.914034, -0.077358, 1.398509, 1.986248, 0.802321, 0.808923]
std: [1.044642, 0.618851, 1.304115, 1.782260, 1.025450, 0.881112]
pca: [[0.366251, -0.061727, 0.234930, 0.615320, -0.443457, 0.481233, 0.000000, 0.000000, 0.000000, 0.000000], [-0.213285, 0.532335, 0.105547, -0.518530, -0.355373, 0.514612, 0.000000, 0.000000, 0.000000, 0.000000], [0.455969, -0.456948, -0.565931, -0.417636, -0.206644, 0.214222, 0.000000, 0.000000, 0.000000, 0.000000], [0.623446, 0.587098, -0.070004, -0.030387, -0.169027, -0.481909, 0.000000, 0.000000, 0.000000, 0.000000], [0.359207, 0.223484, -0.005411, 0.008220, 0.778011, 0.464356, 0.000000, 0.000000, 0.000000, 0.000000], [0.307809, -0.330725, 0.780038, -0.420829, 0.021949, -0.099174, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.073713, 17.224565, 17.334390, 21.331351, 82.263028], [9.369531, 9.550915, 9.750799, 10.679838, 12.593583], [20.631839, 21.693267, 21.895550, 26.762514, 125.865828], [28.492943, 29.318912, 30.435099, 36.089214, 178.762301], [16.500729, 16.828185, 17.426859, 20.875192, 72.208912], [14.338741, 14.354020, 14.395659, 18.551655, 72.803108]]
### 12
mean: [-3.539412]
std: [3.224293]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[52.535244, 54.204867, 55.338975, 63.986012, 318.547100]]
## 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": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.498418, 0.211997, -0.384659, -0.002329, 0.174641], [-0.639023, 0.116695, 0.266689, -0.303943, 0.288482], [0.294342, 0.064917, 0.491469, 0.274321, 0.126418], [0.297022, 0.526501, 0.573076, -0.310685, -0.046328], [-0.777275, -0.203103, 0.291638, 0.30352, 0.21965], [0.3354, -0.109561, 0.130283, 0.340218, 0.030567]], "network.0.bias": [0.055908, 0.753379, -0.287357, -0.041198, 0.158721, -0.16661], "network.2.weight": [[-0.051519, -0.263418, -0.360009, -0.368572, -0.460885, 0.269387], [0.349163, -0.218668, 0.447635, 0.015673, -0.032466, 0.409949], [0.591785, 0.047922, -0.160856, 0.104514, -0.369227, -0.161002], [0.466287, -0.145516, 0.374416, 0.633757, -0.390613, -0.217356], [-0.776886, 0.476869, 0.266355, 0.173917, 0.140865, -0.024747], [0.065071, -0.067841, 0.231012, 0.634279, 0.137798, 0.16268]], "network.2.bias": [0.74502, -0.096469, 0.448344, -0.077434, 0.52107, 0.012813], "network.4.weight": [[-0.150416, -0.136265, 0.572892, -0.041127, -0.078423, -0.32653], [0.707825, 0.547966, 0.735862, 0.465527, -0.120537, 0.315066], [-0.773031, -0.521366, -0.187109, -0.638866, 0.261328, 0.116293], [-0.901378, -0.422426, 0.004657, 0.173718, 0.343802, 0.195724], [-0.381354, -0.386521, -0.133002, -0.767191, 0.478637, -0.124306], [0.370696, -0.204816, 0.472995, 0.49059, 0.144501, 0.10731]], "network.4.bias": [-0.229725, 0.060232, 0.111544, 0.636253, 0.264151, -0.157033], "network.6.weight": [[0.276587, 0.544546, -0.615431, 0.235216, -0.322854, 0.174557], [-0.532094, -0.394702, 0.126492, 0.246076, 0.428267, -0.140229], [0.146308, -0.249305, 0.555169, -0.073384, 0.385333, -0.264693], [-0.061028, -0.498265, 0.239208, 0.501385, 0.562915, -0.310613], [-0.611814, -0.258166, 0.350688, 0.193378, 0.516901, -0.091235], [-0.320817, -0.503611, 0.477819, 0.196394, 0.294596, -0.265929]], "network.6.bias": [0.346767, 0.109686, 0.136768, 0.157598, -0.074353, 0.498497], "network.8.weight": [[-0.186904, -0.10151, 0.643021, -0.141081, 0.256715, 0.582624], [-0.512143, 0.670356, 0.282082, 0.292831, 0.602269, 0.407691], [-0.139803, 0.724805, -0.171044, 0.63958, 0.109213, 0.436154], [-0.450419, 0.152339, 0.158582, 0.268614, -0.167485, -0.160991], [0.229557, -0.231448, -0.51023, -0.543297, -0.726566, -0.593005], [0.426001, -0.326722, -0.36069, -0.916345, -0.567883, -0.690601]], "network.8.bias": [-0.281468, 0.159162, -0.195459, -0.201775, 0.545776, 0.708076], "network.10.weight": [[-0.460772, -0.637424, -0.002787, 0.006161, 0.645838, 0.286414], [0.432619, 0.477442, 0.134485, -0.014832, -0.113306, -0.220977], [-0.202818, -0.649609, -0.543523, -0.084445, 0.256988, 0.604476], [-0.466643, -0.526638, -0.30876, -0.723589, 0.798091, 0.836724], [-0.461048, -0.280326, -0.231622, -0.210143, 0.563916, 0.385325], [-0.129343, -0.196925, -0.555102, -0.760328, 0.728374, 0.087957]], "network.10.bias": [0.201866, 0.187499, 0.661217, 0.447207, -0.038674, 0.180368], "network.12.weight": [[-0.475197, 0.19538, -0.630524, -0.879053, -0.377878, -0.378393]], "network.12.bias": [0.23606]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.688662052154541, "train_acc": 0.56, "val_loss": 0.6970282793045044, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6881391704082489, "train_acc": 0.56, "val_loss": 0.7005255222320557, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6869783997535706, "train_acc": 0.56, "val_loss": 0.6978346109390259, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6834779679775238, "train_acc": 0.56, "val_loss": 0.6840329170227051, "val_acc": 0.5}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6710542142391205, "train_acc": 0.56, "val_loss": 0.6521660089492798, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6536405980587006, "train_acc": 0.575, "val_loss": 0.6080135107040405, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6180890798568726, "train_acc": 0.775, "val_loss": 0.5691236853599548, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5819386541843414, "train_acc": 0.76, "val_loss": 0.49637070298194885, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5123287737369537, "train_acc": 0.84, "val_loss": 0.4279448688030243, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.4446878582239151, "train_acc": 0.87, "val_loss": 0.3877386450767517, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.4020805060863495, "train_acc": 0.91, "val_loss": 0.29708266258239746, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.34927213191986084, "train_acc": 0.885, "val_loss": 0.24331527948379517, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.30721233785152435, "train_acc": 0.905, "val_loss": 0.2253786027431488, "val_acc": 1.0}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.2775306701660156, "train_acc": 0.93, "val_loss": 0.19662557542324066, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.24271603673696518, "train_acc": 0.93, "val_loss": 0.14077329635620117, "val_acc": 0.98}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6970282793045044, "final_val_loss": 0.6521660089492798, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.6080135107040405, "final_val_loss": 0.14077329635620117, "initial_val_acc": 0.86, "final_val_acc": 0.98, "best_val_acc": 1.0, "best_epoch": 12}, "improvement": 0.5, "first_improvement_epoch": 4}}
|
9,639
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.46, "improved_accuracy": 0.96, "improvement": 0.49999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3158, "learning_rate": 0.031875858069992914, "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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[
0.916456,
-0.466084,
-0.084642,
0.089749,
0.177507
],
[
0.902431,
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0.188317,
0.080838,
0.18634
],
[
0.879023,
0.258563,
0.495635,
0.311771,
0.180546
],
[
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0.54257,
0.10691,
0.223491,
0.341661
],
[
0.123572,
-0.091516,
-0.183597,
-0.290834,
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],
[
0.588671,
0.38846,
0.410509,
0.084769,
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],
[
0.080232,
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]
],
"network.0.bias": [
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"network.2.weight": [
[
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[
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0.298919,
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],
[
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],
[
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],
[
0.21257,
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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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"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": [
0.51786
]
}
## Activation Signature
### 0
mean: [0.421737, 1.508816, 3.103138, 1.449418, -0.726731, 2.314520, 3.005163]
std: [1.803425, 1.957466, 2.692426, 1.896569, 0.856357, 1.986583, 2.417923]
pca: [[0.288780, -0.426146, 0.278016, 0.648724, -0.000066, 0.458360, -0.163631, 0.000000, 0.000000, 0.000000], [0.400954, -0.304740, 0.256759, -0.131456, 0.267313, -0.245313, 0.729060, 0.000000, 0.000000, 0.000000], [0.622505, 0.068561, 0.269783, -0.231581, 0.023391, -0.373004, -0.584547, 0.000000, 0.000000, 0.000000], [-0.153600, 0.557207, 0.605233, -0.019932, 0.466095, 0.285165, 0.025692, 0.000000, 0.000000, 0.000000], [-0.062791, -0.204626, -0.422138, 0.080405, 0.842666, -0.089298, -0.226848, 0.000000, 0.000000, 0.000000], [0.445343, 0.112653, -0.346030, -0.442590, 0.020038, 0.684428, 0.067176, 0.000000, 0.000000, 0.000000], [0.377444, 0.596482, -0.346054, 0.552719, -0.016275, -0.181273, 0.208251, 0.000000, 0.000000, 0.000000]]
fourier: [[30.703572, 31.495410, 31.687378, 37.956362, 44.536607], [32.716872, 35.202963, 38.121162, 46.533583, 135.793488], [41.590046, 45.981734, 47.680016, 54.747098, 279.282466], [29.012622, 29.814370, 31.508457, 42.356591, 130.447658], [12.885392, 12.969570, 13.212948, 15.490402, 65.405752], [34.171863, 34.502119, 34.539106, 35.250568, 208.306762], [39.580200, 44.120217, 46.433259, 49.211024, 270.464665]]
### 2
mean: [-0.693156, 0.985438, 4.319008, 0.683206, 0.922328, -1.437862, 3.321185]
std: [1.104961, 2.097590, 3.072685, 0.399951, 1.891956, 1.041097, 3.443016]
pca: [[-0.023976, -0.349234, -0.367711, -0.617605, -0.131664, 0.421942, 0.406747, 0.000000, 0.000000, 0.000000], [0.375514, -0.369170, -0.049779, 0.680547, -0.047683, 0.212072, 0.458075, 0.000000, 0.000000, 0.000000], [0.427158, 0.762589, -0.084546, -0.068418, 0.240645, 0.340529, 0.224268, 0.000000, 0.000000, 0.000000], [0.011505, -0.046253, 0.616785, -0.254698, 0.241595, -0.372281, 0.596215, 0.000000, 0.000000, 0.000000], [0.362263, -0.258715, -0.424792, -0.110377, 0.666682, -0.380126, -0.142269, 0.000000, 0.000000, 0.000000], [-0.151200, -0.235104, 0.411833, 0.016680, 0.548048, 0.614154, -0.272833, 0.000000, 0.000000, 0.000000], [0.722304, -0.189371, 0.353107, -0.270938, -0.345385, 0.027509, -0.352529, 0.000000, 0.000000, 0.000000]]
fourier: [[15.120638, 16.088849, 17.173658, 21.894943, 62.384069], [36.588673, 37.959808, 41.622650, 48.253764, 88.689431], [49.682267, 53.180212, 57.199626, 60.451944, 388.710706], [5.952766, 6.060061, 7.272244, 7.765859, 61.488533], [30.866567, 34.910714, 39.241894, 39.471459, 83.009522], [16.669991, 18.476686, 19.789816, 21.076452, 129.407573], [60.030215, 61.164172, 64.822300, 66.476916, 298.906632]]
### 4
mean: [0.912755, -0.752870, -0.591617, 1.408029, 0.064652, 2.878253, 1.439644]
std: [1.449898, 0.405286, 1.548457, 2.817218, 1.754562, 4.485435, 2.173002]
pca: [[-0.010726, 0.718972, 0.135109, -0.443384, 0.279529, -0.390423, -0.193790, 0.000000, 0.000000, 0.000000], [-0.049393, -0.070966, 0.782448, -0.124843, -0.589758, -0.094959, -0.088778, 0.000000, 0.000000, 0.000000], [-0.245280, 0.225455, 0.156898, -0.301928, 0.115624, 0.869212, 0.065819, 0.000000, 0.000000, 0.000000], [0.461069, -0.223437, 0.052629, -0.534450, 0.082626, -0.068166, 0.661522, 0.000000, 0.000000, 0.000000], [0.251650, -0.432988, 0.389334, -0.043573, 0.617866, 0.050535, -0.459785, 0.000000, 0.000000, 0.000000], [0.741062, 0.188899, -0.227352, -0.055383, -0.355132, 0.260073, -0.408205, 0.000000, 0.000000, 0.000000], [0.334960, 0.392591, 0.372645, 0.637230, 0.214420, 0.090472, 0.366860, 0.000000, 0.000000, 0.000000]]
fourier: [[23.460936, 24.021939, 24.553980, 25.883240, 82.147910], [5.334503, 6.562457, 7.521252, 7.621039, 67.758345], [26.404058, 26.615872, 29.813512, 37.586782, 53.245552], [47.479987, 48.962139, 56.745134, 65.790947, 126.722645], [25.115251, 27.229798, 30.528122, 34.129977, 43.149614], [80.017590, 81.092476, 87.592990, 94.835684, 259.042747], [36.034214, 39.625450, 39.886137, 40.304840, 129.567952]]
### 6
mean: [2.875429, 2.698339, -1.616667, 3.895353, 2.948859, 3.570677, 1.375229]
std: [4.621616, 3.312660, 2.887261, 5.707753, 4.255885, 5.349166, 3.079748]
pca: [[0.407569, 0.283519, -0.290827, 0.362097, -0.044139, -0.067715, 0.728887, 0.000000, 0.000000, 0.000000], [0.291079, -0.243204, 0.660249, 0.232552, 0.592169, -0.057351, 0.110282, 0.000000, 0.000000, 0.000000], [-0.253689, -0.267673, -0.007306, 0.859379, -0.281802, -0.058409, -0.206357, 0.000000, 0.000000, 0.000000], [0.503955, -0.285021, 0.182373, -0.174452, -0.535387, -0.552616, -0.095257, 0.000000, 0.000000, 0.000000], [0.374111, -0.384122, 0.006312, -0.035536, -0.260637, 0.801805, 0.019102, 0.000000, 0.000000, 0.000000], [0.472901, -0.040371, -0.559255, 0.127583, 0.412806, -0.083404, -0.518002, 0.000000, 0.000000, 0.000000], [0.259301, 0.747264, 0.365201, 0.168223, -0.207353, 0.182978, -0.369071, 0.000000, 0.000000, 0.000000]]
fourier: [[79.588046, 82.434317, 92.520925, 100.870952, 258.788627], [54.265475, 58.925260, 65.584995, 67.359182, 242.850529], [49.413454, 51.194351, 57.559287, 63.825827, 145.500005], [97.699221, 101.034696, 114.648582, 115.270125, 350.581758], [72.321928, 75.945050, 82.960949, 84.892460, 265.397305], [93.482459, 95.066918, 106.844796, 111.205813, 321.360954], [51.832825, 53.238259, 59.892820, 73.324700, 123.770561]]
### 8
mean: [-5.233588]
std: [8.396305]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[145.516499, 146.811549, 168.655067, 172.297391, 471.022929]]
## 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": [
[
0.916456,
-0.466084,
-0.084642,
0.089749,
0.177507
],
[
0.902431,
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0.188317,
0.080838,
0.18634
],
[
0.879023,
0.258563,
0.495635,
0.311771,
0.180546
],
[
-0.870146,
0.54257,
0.10691,
0.223491,
0.341661
],
[
0.123572,
-0.091516,
-0.183597,
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[
0.588671,
0.38846,
0.410509,
0.084769,
-0.150609
],
[
0.080232,
1.024719,
0.319837,
0.290918,
-0.141757
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],
"network.0.bias": [
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0.454319,
0.020552,
-0.079074
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"network.2.weight": [
[
0.374897,
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0.826253,
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[
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0.298919,
0.144001,
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],
[
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0.344448,
0.507308,
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0.744596
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[
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0.308373,
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0.047868,
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],
[
0.21257,
0.3686,
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-0.431746,
0.077764,
0.380324,
0.128674
],
[
0.268762,
-0.069852,
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0.136307,
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0.189033,
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],
[
0.814056,
0.12998,
0.472911,
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0.247976,
0.342911,
0.210676
]
],
"network.2.bias": [
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0.359048,
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"network.4.weight": [
[
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[
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0.024704
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[
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[
0.240014,
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0.27921,
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0.589732
],
[
0.451857,
0.43164,
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0.192804,
0.098534,
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[
0.039981,
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0.114083,
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[
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"network.4.bias": [
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"network.6.weight": [
[
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[
0.477278,
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0.494962,
0.095054,
0.303709
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[
0.292884,
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[
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[
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[
0.019101,
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"network.6.bias": [
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"network.8.weight": [
[
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],
"network.8.bias": [
0.51786
]
}
## Activation Signature
### 0
mean: [0.421737, 1.508816, 3.103138, 1.449418, -0.726731, 2.314520, 3.005163]
std: [1.803425, 1.957466, 2.692426, 1.896569, 0.856357, 1.986583, 2.417923]
pca: [[0.288780, -0.426146, 0.278016, 0.648724, -0.000066, 0.458360, -0.163631, 0.000000, 0.000000, 0.000000], [0.400954, -0.304740, 0.256759, -0.131456, 0.267313, -0.245313, 0.729060, 0.000000, 0.000000, 0.000000], [0.622505, 0.068561, 0.269783, -0.231581, 0.023391, -0.373004, -0.584547, 0.000000, 0.000000, 0.000000], [-0.153600, 0.557207, 0.605233, -0.019932, 0.466095, 0.285165, 0.025692, 0.000000, 0.000000, 0.000000], [-0.062791, -0.204626, -0.422138, 0.080405, 0.842666, -0.089298, -0.226848, 0.000000, 0.000000, 0.000000], [0.445343, 0.112653, -0.346030, -0.442590, 0.020038, 0.684428, 0.067176, 0.000000, 0.000000, 0.000000], [0.377444, 0.596482, -0.346054, 0.552719, -0.016275, -0.181273, 0.208251, 0.000000, 0.000000, 0.000000]]
fourier: [[30.703572, 31.495410, 31.687378, 37.956362, 44.536607], [32.716872, 35.202963, 38.121162, 46.533583, 135.793488], [41.590046, 45.981734, 47.680016, 54.747098, 279.282466], [29.012622, 29.814370, 31.508457, 42.356591, 130.447658], [12.885392, 12.969570, 13.212948, 15.490402, 65.405752], [34.171863, 34.502119, 34.539106, 35.250568, 208.306762], [39.580200, 44.120217, 46.433259, 49.211024, 270.464665]]
### 2
mean: [-0.693156, 0.985438, 4.319008, 0.683206, 0.922328, -1.437862, 3.321185]
std: [1.104961, 2.097590, 3.072685, 0.399951, 1.891956, 1.041097, 3.443016]
pca: [[-0.023976, -0.349234, -0.367711, -0.617605, -0.131664, 0.421942, 0.406747, 0.000000, 0.000000, 0.000000], [0.375514, -0.369170, -0.049779, 0.680547, -0.047683, 0.212072, 0.458075, 0.000000, 0.000000, 0.000000], [0.427158, 0.762589, -0.084546, -0.068418, 0.240645, 0.340529, 0.224268, 0.000000, 0.000000, 0.000000], [0.011505, -0.046253, 0.616785, -0.254698, 0.241595, -0.372281, 0.596215, 0.000000, 0.000000, 0.000000], [0.362263, -0.258715, -0.424792, -0.110377, 0.666682, -0.380126, -0.142269, 0.000000, 0.000000, 0.000000], [-0.151200, -0.235104, 0.411833, 0.016680, 0.548048, 0.614154, -0.272833, 0.000000, 0.000000, 0.000000], [0.722304, -0.189371, 0.353107, -0.270938, -0.345385, 0.027509, -0.352529, 0.000000, 0.000000, 0.000000]]
fourier: [[15.120638, 16.088849, 17.173658, 21.894943, 62.384069], [36.588673, 37.959808, 41.622650, 48.253764, 88.689431], [49.682267, 53.180212, 57.199626, 60.451944, 388.710706], [5.952766, 6.060061, 7.272244, 7.765859, 61.488533], [30.866567, 34.910714, 39.241894, 39.471459, 83.009522], [16.669991, 18.476686, 19.789816, 21.076452, 129.407573], [60.030215, 61.164172, 64.822300, 66.476916, 298.906632]]
### 4
mean: [0.912755, -0.752870, -0.591617, 1.408029, 0.064652, 2.878253, 1.439644]
std: [1.449898, 0.405286, 1.548457, 2.817218, 1.754562, 4.485435, 2.173002]
pca: [[-0.010726, 0.718972, 0.135109, -0.443384, 0.279529, -0.390423, -0.193790, 0.000000, 0.000000, 0.000000], [-0.049393, -0.070966, 0.782448, -0.124843, -0.589758, -0.094959, -0.088778, 0.000000, 0.000000, 0.000000], [-0.245280, 0.225455, 0.156898, -0.301928, 0.115624, 0.869212, 0.065819, 0.000000, 0.000000, 0.000000], [0.461069, -0.223437, 0.052629, -0.534450, 0.082626, -0.068166, 0.661522, 0.000000, 0.000000, 0.000000], [0.251650, -0.432988, 0.389334, -0.043573, 0.617866, 0.050535, -0.459785, 0.000000, 0.000000, 0.000000], [0.741062, 0.188899, -0.227352, -0.055383, -0.355132, 0.260073, -0.408205, 0.000000, 0.000000, 0.000000], [0.334960, 0.392591, 0.372645, 0.637230, 0.214420, 0.090472, 0.366860, 0.000000, 0.000000, 0.000000]]
fourier: [[23.460936, 24.021939, 24.553980, 25.883240, 82.147910], [5.334503, 6.562457, 7.521252, 7.621039, 67.758345], [26.404058, 26.615872, 29.813512, 37.586782, 53.245552], [47.479987, 48.962139, 56.745134, 65.790947, 126.722645], [25.115251, 27.229798, 30.528122, 34.129977, 43.149614], [80.017590, 81.092476, 87.592990, 94.835684, 259.042747], [36.034214, 39.625450, 39.886137, 40.304840, 129.567952]]
### 6
mean: [2.875429, 2.698339, -1.616667, 3.895353, 2.948859, 3.570677, 1.375229]
std: [4.621616, 3.312660, 2.887261, 5.707753, 4.255885, 5.349166, 3.079748]
pca: [[0.407569, 0.283519, -0.290827, 0.362097, -0.044139, -0.067715, 0.728887, 0.000000, 0.000000, 0.000000], [0.291079, -0.243204, 0.660249, 0.232552, 0.592169, -0.057351, 0.110282, 0.000000, 0.000000, 0.000000], [-0.253689, -0.267673, -0.007306, 0.859379, -0.281802, -0.058409, -0.206357, 0.000000, 0.000000, 0.000000], [0.503955, -0.285021, 0.182373, -0.174452, -0.535387, -0.552616, -0.095257, 0.000000, 0.000000, 0.000000], [0.374111, -0.384122, 0.006312, -0.035536, -0.260637, 0.801805, 0.019102, 0.000000, 0.000000, 0.000000], [0.472901, -0.040371, -0.559255, 0.127583, 0.412806, -0.083404, -0.518002, 0.000000, 0.000000, 0.000000], [0.259301, 0.747264, 0.365201, 0.168223, -0.207353, 0.182978, -0.369071, 0.000000, 0.000000, 0.000000]]
fourier: [[79.588046, 82.434317, 92.520925, 100.870952, 258.788627], [54.265475, 58.925260, 65.584995, 67.359182, 242.850529], [49.413454, 51.194351, 57.559287, 63.825827, 145.500005], [97.699221, 101.034696, 114.648582, 115.270125, 350.581758], [72.321928, 75.945050, 82.960949, 84.892460, 265.397305], [93.482459, 95.066918, 106.844796, 111.205813, 321.360954], [51.832825, 53.238259, 59.892820, 73.324700, 123.770561]]
### 8
mean: [-5.233588]
std: [8.396305]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[145.516499, 146.811549, 168.655067, 172.297391, 471.022929]]
## 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": 0.4217373728752136, "std": 1.8034249544143677, "pca": [0.28878000378608704, -0.4261457920074463, 0.2780163586139679, 0.6487244367599487, -6.601591303478926e-05, 0.4583604633808136, -0.1636308878660202, 0.0, 0.0, 0.0], "fourier": [30.70357246370524, 31.495410026326383, 31.687377773845846, 37.95636213570833, 44.53660706316993]}, "1": {"mean": 1.5088163614273071, "std": 1.9574657678604126, "pca": [0.40095430612564087, -0.30474013090133667, 0.2567594349384308, -0.13145598769187927, 0.26731330156326294, -0.24531251192092896, 0.7290599346160889, 0.0, 0.0, 0.0], "fourier": [32.71687227251661, 35.202962712057676, 38.12116214238781, 46.533583002292396, 135.79348766803741]}, "2": {"mean": 3.1031384468078613, "std": 2.6924264430999756, "pca": [0.6225045919418335, 0.06856078654527664, 0.2697828710079193, -0.23158079385757446, 0.02339131385087967, -0.3730042278766632, -0.5845474004745483, 0.0, 0.0, 0.0], "fourier": [41.59004632395951, 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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": [[0.916456, -0.466084, -0.084642, 0.089749, 0.177507], [0.902431, -0.27339, 0.188317, 0.080838, 0.18634], [0.879023, 0.258563, 0.495635, 0.311771, 0.180546], [-0.870146, 0.54257, 0.10691, 0.223491, 0.341661], [0.123572, -0.091516, -0.183597, -0.290834, -0.13044], [0.588671, 0.38846, 0.410509, 0.084769, -0.150609], [0.080232, 1.024719, 0.319837, 0.290918, -0.141757]], "network.0.bias": [-0.104011, 0.087423, -0.388492, 0.419615, 0.454319, 0.020552, -0.079074], "network.2.weight": [[0.374897, -0.122574, -0.146702, -0.367819, 0.826253, 0.204868, -0.225135], [0.162836, 0.261357, 0.381472, -0.44515, 0.298919, 0.144001, -0.116821], [-0.314279, -0.158693, 0.344448, 0.507308, -0.44276, 0.268014, 0.744596], [0.27826, 0.269755, -0.226809, 0.308373, -0.357373, 0.047868, -0.078484], [0.21257, 0.3686, -0.072822, -0.431746, 0.077764, 0.380324, 0.128674], [0.268762, -0.069852, -0.140191, 0.136307, -0.147831, 0.189033, -0.497524], [0.814056, 0.12998, 0.472911, -0.155152, 0.247976, 0.342911, 0.210676]], "network.2.bias": [0.391738, -0.008511, 0.056657, 0.359048, -0.146399, -0.283131, -0.27165], "network.4.weight": [[-0.240106, -0.46956, 0.401227, -0.200264, 0.036448, -0.475726, 0.151582], [-0.381714, -0.216024, -0.114663, -0.481672, 0.131807, 0.075751, 0.024704], [-0.192238, -0.271081, 0.164151, -0.122756, -0.384872, -0.607527, -0.117334], [0.240014, 0.325828, -0.318746, -0.371188, 0.27921, -0.321316, 0.589732], [0.451857, 0.43164, -0.320337, -0.444832, 0.192804, 0.098534, 0.184329], [0.039981, 0.65539, -0.079773, -0.236252, 0.543006, 0.114083, 0.71601], [-0.008011, 0.425551, 0.238776, -0.34807, 0.467021, 0.09174, 0.072263]], "network.4.bias": [-0.614973, 0.178676, -0.027725, 0.312587, 0.308882, -0.420915, -0.633503], "network.6.weight": [[-0.123121, 0.241852, -0.299505, 0.894417, -0.106205, 0.394017, 0.325147], [0.477278, -0.242335, 0.073417, 0.644345, 0.494962, 0.095054, 0.303709], [0.292884, -0.2358, -0.236519, -0.34262, -0.117517, -0.330005, -0.229265], [0.400235, 0.16227, 0.104064, 0.766848, 0.232549, 0.579941, 0.437523], [0.405096, 0.232546, 0.009092, 0.447962, 0.135943, 0.474763, 0.397705], [0.019101, 0.158618, -0.21651, 0.790184, -0.252273, 0.566771, 0.533847], [-0.372246, 0.01153, -0.158411, 0.876106, 0.299108, 0.066336, 0.019658]], "network.6.bias": [-0.012883, -0.053835, 0.113128, -0.45541, -0.406716, -0.067012, -0.064515], "network.8.weight": [[-0.119054, 0.006003, 0.159138, -0.474986, -0.540855, -0.391176, -0.300172]], "network.8.bias": [0.51786]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6888610422611237, "train_acc": 0.585, "val_loss": 0.6881687045097351, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6642699539661407, "train_acc": 0.585, "val_loss": 0.6973671913146973, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6505090892314911, "train_acc": 0.585, "val_loss": 0.6977237462997437, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6300158202648163, "train_acc": 0.585, "val_loss": 0.6371934413909912, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6630456149578094, "train_acc": 0.51, "val_loss": 0.5938292741775513, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5816590189933777, "train_acc": 0.51, "val_loss": 0.5732643604278564, "val_acc": 0.64}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5717214643955231, "train_acc": 0.63, "val_loss": 0.5329736471176147, "val_acc": 0.66}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5242520570755005, "train_acc": 0.655, "val_loss": 0.5193293690681458, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4930035173892975, "train_acc": 0.71, "val_loss": 0.4911545515060425, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.4684078246355057, "train_acc": 0.775, "val_loss": 0.4563840627670288, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.4553687274456024, "train_acc": 0.8, "val_loss": 0.42778918147087097, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.4352305978536606, "train_acc": 0.845, "val_loss": 0.3917008340358734, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.394766166806221, "train_acc": 0.85, "val_loss": 0.35723069310188293, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.3727152943611145, "train_acc": 0.85, "val_loss": 0.32439297437667847, "val_acc": 0.96}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6881687045097351, "final_val_loss": 0.6371934413909912, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5938292741775513, "final_val_loss": 0.32439297437667847, "initial_val_acc": 0.46, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 13}, "improvement": 0.49999999999999994, "first_improvement_epoch": 3}}
|
9,640
|
{"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": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2970, "learning_rate": 0.04574280045769978, "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: 5
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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[
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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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-0.522328,
0.89038,
0.31063
],
[
-0.407837,
-0.674241,
-0.648428,
0.540309,
0.905709
],
[
0.034393,
0.801416,
0.619139,
-0.567875,
-0.018472
],
[
-0.521893,
-0.413293,
-1.118707,
0.713941,
0.992395
],
[
0.73051,
0.644254,
0.648467,
-0.070315,
-0.500536
]
],
"network.6.bias": [
-0.358411,
0.040941,
0.660157,
0.064942,
0.099749
],
"network.8.weight": [
[
-0.357584,
-0.49138,
0.57939,
-0.340349,
-0.164308
]
],
"network.8.bias": [
0.647305
]
}
## Activation Signature
### 0
mean: [3.097949, 1.942625, 0.640416, -1.494081, -1.402303]
std: [3.590634, 2.358927, 1.639299, 1.545138, 0.624465]
pca: [[0.819080, -0.172247, -0.171876, 0.134046, -0.501926, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.539451, 0.042218, -0.002546, -0.140954, 0.829057, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.193605, 0.548713, 0.792216, -0.080789, -0.165220, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.020223, 0.777099, -0.584107, -0.215014, -0.091081, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.014437, 0.252150, -0.040801, 0.953628, 0.158561, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[59.536110, 60.630407, 60.815821, 62.391356, 278.815423], [39.242110, 39.760437, 40.269837, 42.497205, 174.836285], [23.399548, 28.409397, 28.590093, 28.800984, 57.637421], [21.639056, 22.546465, 27.866766, 28.791937, 134.467255], [10.271739, 10.759800, 10.996477, 11.025385, 126.207311]]
### 2
mean: [-0.128105, -0.805208, -0.460894, 4.913207, -0.772570]
std: [0.359693, 1.756751, 0.937447, 5.829762, 1.538736]
pca: [[0.023081, -0.365778, 0.368787, -0.575499, 0.631246, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.274806, -0.216374, 0.813433, 0.175929, -0.430163, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.092888, 0.860518, 0.268160, -0.421276, -0.038710, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.925705, 0.099775, 0.308285, 0.194024, 0.020750, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.241643, 0.262571, 0.188079, 0.650178, 0.643863, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.338029, 5.413175, 5.527693, 5.979652, 11.529472], [28.509158, 28.753168, 29.550529, 30.505090, 72.468706], [13.808894, 14.820586, 14.944927, 17.952942, 41.480501], [96.523898, 97.997061, 98.652394, 100.101416, 442.188588], [25.438925, 25.482714, 25.628370, 27.218370, 69.531273]]
### 4
mean: [-0.792296, -2.623702, -2.141600, 3.104716, 2.831539]
std: [1.403103, 3.920431, 3.552853, 4.055552, 3.772490]
pca: [[-0.179605, -0.554168, 0.638316, -0.502983, -0.014167, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.503421, 0.725433, 0.225603, -0.326117, -0.251126, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.456312, -0.021523, 0.426931, 0.719972, 0.301143, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.520894, 0.132604, 0.487192, 0.303576, -0.617714, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.484518, 0.385483, 0.349328, -0.173600, 0.681526, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.019466, 23.027692, 23.043498, 23.582981, 71.306668], [64.189307, 65.590138, 66.463627, 67.040020, 236.133194], [58.624544, 59.524318, 59.651793, 59.654270, 192.743967], [66.750801, 67.075573, 68.244065, 68.670670, 279.424475], [61.925053, 62.678282, 62.954605, 63.815659, 254.838504]]
### 6
mean: [3.198544, 4.162684, -1.019280, 4.918607, -1.394287]
std: [4.864897, 5.731861, 2.517540, 6.814012, 2.357670]
pca: [[0.454026, 0.347457, -0.261708, -0.567556, -0.531530, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.535039, 0.155896, 0.045194, 0.775998, -0.291914, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.234580, 0.499491, 0.806162, -0.062370, -0.204192, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.636068, 0.071887, 0.294984, -0.215994, 0.675707, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.219050, 0.774797, -0.438811, 0.158630, 0.366043, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[79.664634, 80.545700, 81.689000, 82.050101, 287.868906], [93.862177, 93.964063, 96.471777, 96.538585, 374.641553], [41.223911, 41.337559, 42.108248, 42.496849, 91.735212], [111.283974, 111.426447, 114.700995, 115.008224, 442.674611], [38.211780, 38.252798, 39.264173, 40.395495, 125.485834]]
### 8
mean: [-4.283686]
std: [6.819975]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[111.317852, 113.565699, 114.599007, 115.239898, 385.531793]]
## 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.330609,
0.812008,
0.030287,
-0.354644,
0.231546
],
[
0.967012,
0.460952,
-0.178722,
-0.201809,
0.200753
],
[
0.762598,
-0.163065,
-0.497075,
0.335986,
-0.333047
],
[
0.444815,
-0.701826,
-0.084846,
-0.219692,
-0.022017
],
[
0.073904,
-0.084078,
-0.10402,
-0.148286,
-0.204751
]
],
"network.0.bias": [
0.374095,
0.457779,
0.717134,
-0.09324,
-0.55326
],
"network.2.weight": [
[
-0.055732,
0.025828,
0.339241,
0.140071,
0.755787
],
[
-0.457895,
-0.096881,
0.018961,
0.961586,
0.001832
],
[
-0.036306,
0.013774,
-0.729733,
0.800152,
-0.907011
],
[
0.994744,
0.82865,
0.589332,
-0.801147,
-0.223307
],
[
-0.314353,
-0.070358,
-0.3883,
0.560092,
-0.40078
]
],
"network.2.bias": [
-0.237451,
0.751432,
0.176751,
-0.274542,
0.629426
],
"network.4.weight": [
[
-0.241217,
0.049672,
0.465381,
-0.23043,
0.403381
],
[
0.134623,
0.19727,
-0.041909,
-0.665212,
0.090464
],
[
-0.173031,
0.256654,
0.088131,
-0.590612,
0.64115
],
[
-0.396037,
-0.720314,
-0.425436,
0.680234,
-0.358567
],
[
-0.332901,
-0.537393,
-0.424847,
0.630118,
-0.747765
]
],
"network.4.bias": [
0.295763,
0.58352,
0.669621,
-0.100192,
-0.134703
],
"network.6.weight": [
[
-0.203811,
-0.354829,
-0.522328,
0.89038,
0.31063
],
[
-0.407837,
-0.674241,
-0.648428,
0.540309,
0.905709
],
[
0.034393,
0.801416,
0.619139,
-0.567875,
-0.018472
],
[
-0.521893,
-0.413293,
-1.118707,
0.713941,
0.992395
],
[
0.73051,
0.644254,
0.648467,
-0.070315,
-0.500536
]
],
"network.6.bias": [
-0.358411,
0.040941,
0.660157,
0.064942,
0.099749
],
"network.8.weight": [
[
-0.357584,
-0.49138,
0.57939,
-0.340349,
-0.164308
]
],
"network.8.bias": [
0.647305
]
}
## Activation Signature
### 0
mean: [3.097949, 1.942625, 0.640416, -1.494081, -1.402303]
std: [3.590634, 2.358927, 1.639299, 1.545138, 0.624465]
pca: [[0.819080, -0.172247, -0.171876, 0.134046, -0.501926, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.539451, 0.042218, -0.002546, -0.140954, 0.829057, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.193605, 0.548713, 0.792216, -0.080789, -0.165220, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.020223, 0.777099, -0.584107, -0.215014, -0.091081, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.014437, 0.252150, -0.040801, 0.953628, 0.158561, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[59.536110, 60.630407, 60.815821, 62.391356, 278.815423], [39.242110, 39.760437, 40.269837, 42.497205, 174.836285], [23.399548, 28.409397, 28.590093, 28.800984, 57.637421], [21.639056, 22.546465, 27.866766, 28.791937, 134.467255], [10.271739, 10.759800, 10.996477, 11.025385, 126.207311]]
### 2
mean: [-0.128105, -0.805208, -0.460894, 4.913207, -0.772570]
std: [0.359693, 1.756751, 0.937447, 5.829762, 1.538736]
pca: [[0.023081, -0.365778, 0.368787, -0.575499, 0.631246, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.274806, -0.216374, 0.813433, 0.175929, -0.430163, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.092888, 0.860518, 0.268160, -0.421276, -0.038710, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.925705, 0.099775, 0.308285, 0.194024, 0.020750, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.241643, 0.262571, 0.188079, 0.650178, 0.643863, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.338029, 5.413175, 5.527693, 5.979652, 11.529472], [28.509158, 28.753168, 29.550529, 30.505090, 72.468706], [13.808894, 14.820586, 14.944927, 17.952942, 41.480501], [96.523898, 97.997061, 98.652394, 100.101416, 442.188588], [25.438925, 25.482714, 25.628370, 27.218370, 69.531273]]
### 4
mean: [-0.792296, -2.623702, -2.141600, 3.104716, 2.831539]
std: [1.403103, 3.920431, 3.552853, 4.055552, 3.772490]
pca: [[-0.179605, -0.554168, 0.638316, -0.502983, -0.014167, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.503421, 0.725433, 0.225603, -0.326117, -0.251126, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.456312, -0.021523, 0.426931, 0.719972, 0.301143, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.520894, 0.132604, 0.487192, 0.303576, -0.617714, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.484518, 0.385483, 0.349328, -0.173600, 0.681526, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.019466, 23.027692, 23.043498, 23.582981, 71.306668], [64.189307, 65.590138, 66.463627, 67.040020, 236.133194], [58.624544, 59.524318, 59.651793, 59.654270, 192.743967], [66.750801, 67.075573, 68.244065, 68.670670, 279.424475], [61.925053, 62.678282, 62.954605, 63.815659, 254.838504]]
### 6
mean: [3.198544, 4.162684, -1.019280, 4.918607, -1.394287]
std: [4.864897, 5.731861, 2.517540, 6.814012, 2.357670]
pca: [[0.454026, 0.347457, -0.261708, -0.567556, -0.531530, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.535039, 0.155896, 0.045194, 0.775998, -0.291914, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.234580, 0.499491, 0.806162, -0.062370, -0.204192, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.636068, 0.071887, 0.294984, -0.215994, 0.675707, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.219050, 0.774797, -0.438811, 0.158630, 0.366043, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[79.664634, 80.545700, 81.689000, 82.050101, 287.868906], [93.862177, 93.964063, 96.471777, 96.538585, 374.641553], [41.223911, 41.337559, 42.108248, 42.496849, 91.735212], [111.283974, 111.426447, 114.700995, 115.008224, 442.674611], [38.211780, 38.252798, 39.264173, 40.395495, 125.485834]]
### 8
mean: [-4.283686]
std: [6.819975]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[111.317852, 113.565699, 114.599007, 115.239898, 385.531793]]
## 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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"layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "6": {"neuron_profiles": {"0": {"mean": 3.1985435485839844, "std": 4.86489725112915, "pca": [0.4540259540081024, 0.3474566638469696, -0.2617078125476837, -0.5675559043884277, -0.5315295457839966, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [79.66463426467774, 80.54570031336397, 81.68900027455788, 82.05010062225799, 287.86890591681004]}, "1": {"mean": 4.162683963775635, "std": 5.731861114501953, "pca": [0.5350392460823059, 0.15589630603790283, 0.045193862169981, 0.775998055934906, -0.29191410541534424, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [93.86217744824279, 93.96406305475062, 96.47177710806235, 96.53858464832864, 374.64155312255025]}, "2": {"mean": -1.019280195236206, "std": 2.517540454864502, "pca": [-0.2345801144838333, 0.4994910955429077, 0.8061615228652954, -0.06237039715051651, -0.2041919082403183, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [41.223910518259906, 41.33755949292558, 42.108247633063876, 42.49684948863315, 91.735211789608]}, "3": {"mean": 4.918606758117676, "std": 6.814012050628662, "pca": [0.6360682249069214, 0.0718868151307106, 0.2949836254119873, -0.2159944474697113, 0.6757073998451233, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [111.28397428124619, 111.42644671168551, 114.70099509641382, 115.0082241806352, 442.6746111214161]}, "4": {"mean": -1.394287109375, "std": 2.357670307159424, "pca": [-0.21904979646205902, 0.7747974991798401, -0.4388106167316437, 0.15863041579723358, 0.36604323983192444, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [38.211780194548226, 38.2527977127119, 39.26417344491296, 40.395494690875765, 125.48583410307765]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -4.28368616104126, "std": 6.81997537612915, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [111.31785157622187, 113.56569860273113, 114.59900742704696, 115.23989800436485, 385.53179305791855]}}, "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": [[1.330609, 0.812008, 0.030287, -0.354644, 0.231546], [0.967012, 0.460952, -0.178722, -0.201809, 0.200753], [0.762598, -0.163065, -0.497075, 0.335986, -0.333047], [0.444815, -0.701826, -0.084846, -0.219692, -0.022017], [0.073904, -0.084078, -0.10402, -0.148286, -0.204751]], "network.0.bias": [0.374095, 0.457779, 0.717134, -0.09324, -0.55326], "network.2.weight": [[-0.055732, 0.025828, 0.339241, 0.140071, 0.755787], [-0.457895, -0.096881, 0.018961, 0.961586, 0.001832], [-0.036306, 0.013774, -0.729733, 0.800152, -0.907011], [0.994744, 0.82865, 0.589332, -0.801147, -0.223307], [-0.314353, -0.070358, -0.3883, 0.560092, -0.40078]], "network.2.bias": [-0.237451, 0.751432, 0.176751, -0.274542, 0.629426], "network.4.weight": [[-0.241217, 0.049672, 0.465381, -0.23043, 0.403381], [0.134623, 0.19727, -0.041909, -0.665212, 0.090464], [-0.173031, 0.256654, 0.088131, -0.590612, 0.64115], [-0.396037, -0.720314, -0.425436, 0.680234, -0.358567], [-0.332901, -0.537393, -0.424847, 0.630118, -0.747765]], "network.4.bias": [0.295763, 0.58352, 0.669621, -0.100192, -0.134703], "network.6.weight": [[-0.203811, -0.354829, -0.522328, 0.89038, 0.31063], [-0.407837, -0.674241, -0.648428, 0.540309, 0.905709], [0.034393, 0.801416, 0.619139, -0.567875, -0.018472], [-0.521893, -0.413293, -1.118707, 0.713941, 0.992395], [0.73051, 0.644254, 0.648467, -0.070315, -0.500536]], "network.6.bias": [-0.358411, 0.040941, 0.660157, 0.064942, 0.099749], "network.8.weight": [[-0.357584, -0.49138, 0.57939, -0.340349, -0.164308]], "network.8.bias": [0.647305]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7253908216953278, "train_acc": 0.43, "val_loss": 0.6925293803215027, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6958917677402496, "train_acc": 0.44, "val_loss": 0.6973823308944702, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6734646558761597, "train_acc": 0.57, "val_loss": 0.6999353170394897, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6435955166816711, "train_acc": 0.57, "val_loss": 0.6468340158462524, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6260383725166321, "train_acc": 0.505, "val_loss": 0.5204783082008362, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5129644423723221, "train_acc": 0.605, "val_loss": 0.45321720838546753, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.44015614688396454, "train_acc": 0.8, "val_loss": 0.3713865280151367, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.39124149084091187, "train_acc": 0.86, "val_loss": 0.34777507185935974, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3702273964881897, "train_acc": 0.84, "val_loss": 0.33219850063323975, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.40326276421546936, "train_acc": 0.865, "val_loss": 0.34332725405693054, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.35672108829021454, "train_acc": 0.855, "val_loss": 0.316465824842453, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.34817348420619965, "train_acc": 0.86, "val_loss": 0.3089882731437683, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.332220196723938, "train_acc": 0.84, "val_loss": 0.2964993715286255, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.3215339332818985, "train_acc": 0.87, "val_loss": 0.28931647539138794, "val_acc": 0.9}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6925293803215027, "final_val_loss": 0.6468340158462524, "initial_val_acc": 0.52, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5204783082008362, "final_val_loss": 0.28931647539138794, "initial_val_acc": 0.48, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 13}, "improvement": 0.42000000000000004, "first_improvement_epoch": 3}}
|
9,641
|
{"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": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3583, "learning_rate": 0.09581377584486529, "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: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.055408,
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0.523447,
0.660305,
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],
[
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-0.658273,
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],
[
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],
[
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0.742986,
0.385729,
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],
[
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]
],
"network.0.bias": [
-0.486854,
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-0.194342,
0.29732
],
"network.2.weight": [
[
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0.09127,
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],
[
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0.089223,
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0.083545
],
[
0.069227,
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0.313586,
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0.359888
],
[
0.340985,
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0.029858,
0.402271,
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],
[
0.652964,
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0.445859,
0.141313
]
],
"network.2.bias": [
0.655802,
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],
"network.4.weight": [
[
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],
[
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0.281655,
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],
[
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0.120513,
0.387442,
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0.828583
],
[
0.196333,
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],
[
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]
],
"network.4.bias": [
0.759483,
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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": [
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]
}
## Activation Signature
### 0
mean: [3.802730, -3.004987, -1.864157, 4.074580, -1.746316]
std: [3.225524, 1.837377, 1.311714, 3.232918, 1.388961]
pca: [[0.654514, 0.022457, 0.458618, 0.034861, 0.599634, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.233222, 0.849782, -0.053047, -0.373400, 0.285021, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.230957, 0.200711, -0.175649, 0.876330, 0.327973, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.642228, 0.435076, -0.256478, 0.217986, -0.533811, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.226763, 0.218611, 0.830796, 0.209486, -0.408267, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.425719, 58.153996, 58.295579, 62.871829, 342.245693], [29.754184, 30.674184, 30.859277, 31.826046, 270.448835], [20.547990, 22.390957, 25.873997, 25.941985, 167.774128], [51.044785, 54.888259, 58.503792, 61.006793, 366.712155], [22.011886, 22.553618, 25.813246, 27.429634, 157.168453]]
### 2
mean: [-1.685726, -1.323970, -0.775941, 2.249048, 3.645683]
std: [1.926113, 0.990170, 0.151861, 2.339315, 3.437618]
pca: [[-0.406667, 0.854361, 0.312491, -0.083892, -0.001156, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.211395, -0.149367, 0.147365, 0.039358, 0.953801, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.025122, -0.264484, 0.816986, 0.474117, -0.192778, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.499262, 0.392492, -0.230659, 0.715343, 0.178238, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.734875, 0.154127, 0.399954, -0.504887, 0.146050, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.306065, 33.781709, 34.611821, 36.809729, 151.715299], [15.595462, 17.053001, 18.452485, 18.527528, 119.157269], [2.614226, 2.631972, 2.654960, 3.101252, 69.834666], [36.851288, 40.232270, 43.626310, 43.702955, 202.414288], [53.805748, 59.137377, 63.774834, 64.495822, 328.111459]]
### 4
mean: [0.330587, -0.949214, 3.382152, -1.334726, -1.174191]
std: [0.570867, 0.767572, 3.419834, 1.121627, 0.818046]
pca: [[-0.146742, 0.814852, -0.270711, -0.481734, 0.095560, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.201120, 0.315308, -0.032327, 0.726857, 0.575122, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.897569, 0.103603, 0.141934, -0.100222, 0.391722, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.294290, 0.038581, 0.870099, -0.279010, 0.277465, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.213964, -0.473683, -0.385297, -0.389512, 0.655493, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.336220, 10.294254, 10.944322, 11.050698, 29.752812], [12.113854, 13.259772, 14.183901, 14.426291, 85.429261], [52.830063, 56.085698, 63.134669, 63.499188, 304.393679], [17.426144, 18.283906, 20.633521, 20.730898, 120.125309], [12.564200, 13.110987, 14.739057, 15.230069, 105.677188]]
### 6
mean: [1.190641, 0.442453, -1.300428, 1.723825, 2.187988]
std: [1.650206, 1.117708, 0.968588, 1.903561, 2.235791]
pca: [[0.448956, -0.353456, 0.589282, 0.570412, -0.029749, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.299819, 0.802644, 0.376606, 0.347319, 0.058381, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.263600, -0.180965, -0.474799, 0.614176, 0.543250, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.518357, 0.233561, 0.085260, -0.311888, 0.756447, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.608580, 0.378857, -0.527457, 0.281983, -0.358292, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.588023, 27.062284, 29.748868, 30.333626, 107.157646], [17.528116, 19.745715, 19.975514, 20.354219, 39.820785], [14.597085, 15.761032, 17.585908, 17.736710, 117.038533], [29.110220, 30.733140, 34.579896, 34.880560, 155.144281], [33.832890, 36.264595, 40.658966, 40.917926, 196.918908]]
### 8
mean: [-1.949380]
std: [3.589373]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[56.439004, 58.270588, 62.889009, 64.172222, 175.444159]]
## 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: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.055408,
0.324125,
0.523447,
0.660305,
-0.100419
],
[
-0.209152,
0.035831,
-0.014838,
-0.658273,
-0.509107
],
[
-0.445336,
-0.193703,
0.018036,
-0.1075,
-0.294989
],
[
0.74088,
0.718334,
0.742986,
0.385729,
-0.276662
],
[
-0.004704,
-0.296544,
-0.40005,
-0.101976,
-0.359248
]
],
"network.0.bias": [
-0.486854,
-0.739478,
-0.400319,
-0.194342,
0.29732
],
"network.2.weight": [
[
-0.701524,
0.335853,
-0.088284,
0.09127,
-0.269911
],
[
-0.150563,
-0.01914,
0.089223,
-0.164023,
0.083545
],
[
0.069227,
-0.030145,
0.313586,
-0.102367,
0.359888
],
[
0.340985,
-0.189835,
0.029858,
0.402271,
-0.174702
],
[
0.652964,
-0.042404,
-0.097981,
0.445859,
0.141313
]
],
"network.2.bias": [
0.655802,
-0.072409,
-0.634201,
-0.712233,
-0.708333
],
"network.4.weight": [
[
0.771788,
-0.015914,
-0.154155,
-0.265719,
0.033231
],
[
0.356624,
-0.387264,
0.281655,
-0.186056,
-0.095124
],
[
-0.231736,
0.120513,
0.387442,
0.287068,
0.828583
],
[
0.196333,
-0.263101,
-0.326964,
-0.419416,
-0.051986
],
[
-0.370035,
-0.437146,
0.373709,
0.207995,
-0.394559
]
],
"network.4.bias": [
0.759483,
-0.189231,
-0.367233,
-0.170441,
-0.155715
],
"network.6.weight": [
[
-0.397834,
0.21836,
0.454553,
0.444325,
-0.208796
],
[
0.843128,
0.2617,
-0.244524,
0.090921,
-0.204594
],
[
-0.166515,
-0.226579,
-0.307628,
-0.236003,
-0.259897
],
[
0.210414,
0.022958,
0.592673,
-0.398742,
-0.268499
],
[
0.361002,
-0.217024,
0.707198,
-0.325583,
-0.308674
]
],
"network.6.bias": [
-0.210909,
0.920473,
-0.161286,
-0.421454,
-0.419185
],
"network.8.weight": [
[
-0.365098,
0.916659,
-0.114748,
-0.398764,
-0.7861
]
],
"network.8.bias": [
0.308807
]
}
## Activation Signature
### 0
mean: [3.802730, -3.004987, -1.864157, 4.074580, -1.746316]
std: [3.225524, 1.837377, 1.311714, 3.232918, 1.388961]
pca: [[0.654514, 0.022457, 0.458618, 0.034861, 0.599634, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.233222, 0.849782, -0.053047, -0.373400, 0.285021, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.230957, 0.200711, -0.175649, 0.876330, 0.327973, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.642228, 0.435076, -0.256478, 0.217986, -0.533811, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.226763, 0.218611, 0.830796, 0.209486, -0.408267, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.425719, 58.153996, 58.295579, 62.871829, 342.245693], [29.754184, 30.674184, 30.859277, 31.826046, 270.448835], [20.547990, 22.390957, 25.873997, 25.941985, 167.774128], [51.044785, 54.888259, 58.503792, 61.006793, 366.712155], [22.011886, 22.553618, 25.813246, 27.429634, 157.168453]]
### 2
mean: [-1.685726, -1.323970, -0.775941, 2.249048, 3.645683]
std: [1.926113, 0.990170, 0.151861, 2.339315, 3.437618]
pca: [[-0.406667, 0.854361, 0.312491, -0.083892, -0.001156, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.211395, -0.149367, 0.147365, 0.039358, 0.953801, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.025122, -0.264484, 0.816986, 0.474117, -0.192778, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.499262, 0.392492, -0.230659, 0.715343, 0.178238, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.734875, 0.154127, 0.399954, -0.504887, 0.146050, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.306065, 33.781709, 34.611821, 36.809729, 151.715299], [15.595462, 17.053001, 18.452485, 18.527528, 119.157269], [2.614226, 2.631972, 2.654960, 3.101252, 69.834666], [36.851288, 40.232270, 43.626310, 43.702955, 202.414288], [53.805748, 59.137377, 63.774834, 64.495822, 328.111459]]
### 4
mean: [0.330587, -0.949214, 3.382152, -1.334726, -1.174191]
std: [0.570867, 0.767572, 3.419834, 1.121627, 0.818046]
pca: [[-0.146742, 0.814852, -0.270711, -0.481734, 0.095560, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.201120, 0.315308, -0.032327, 0.726857, 0.575122, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.897569, 0.103603, 0.141934, -0.100222, 0.391722, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.294290, 0.038581, 0.870099, -0.279010, 0.277465, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.213964, -0.473683, -0.385297, -0.389512, 0.655493, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.336220, 10.294254, 10.944322, 11.050698, 29.752812], [12.113854, 13.259772, 14.183901, 14.426291, 85.429261], [52.830063, 56.085698, 63.134669, 63.499188, 304.393679], [17.426144, 18.283906, 20.633521, 20.730898, 120.125309], [12.564200, 13.110987, 14.739057, 15.230069, 105.677188]]
### 6
mean: [1.190641, 0.442453, -1.300428, 1.723825, 2.187988]
std: [1.650206, 1.117708, 0.968588, 1.903561, 2.235791]
pca: [[0.448956, -0.353456, 0.589282, 0.570412, -0.029749, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.299819, 0.802644, 0.376606, 0.347319, 0.058381, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.263600, -0.180965, -0.474799, 0.614176, 0.543250, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.518357, 0.233561, 0.085260, -0.311888, 0.756447, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.608580, 0.378857, -0.527457, 0.281983, -0.358292, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.588023, 27.062284, 29.748868, 30.333626, 107.157646], [17.528116, 19.745715, 19.975514, 20.354219, 39.820785], [14.597085, 15.761032, 17.585908, 17.736710, 117.038533], [29.110220, 30.733140, 34.579896, 34.880560, 155.144281], [33.832890, 36.264595, 40.658966, 40.917926, 196.918908]]
### 8
mean: [-1.949380]
std: [3.589373]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[56.439004, 58.270588, 62.889009, 64.172222, 175.444159]]
## 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": 3.802730083465576, "std": 3.2255239486694336, "pca": [0.6545140147209167, 0.022457152605056763, 0.4586178958415985, 0.0348607562482357, 0.5996344089508057, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [50.425718699322864, 58.153995677262444, 58.29557852958566, 62.871828889504, 342.24569296836853]}, "1": {"mean": -3.0049870014190674, "std": 1.837376594543457, "pca": [-0.2332219034433365, 0.8497818112373352, -0.053046826273202896, -0.37339964509010315, 0.28502124547958374, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [29.754184397464886, 30.674183777428546, 30.85927745750111, 31.826046459225697, 270.44883489608765]}, "2": {"mean": -1.86415696144104, "std": 1.3117138147354126, "pca": [-0.23095713555812836, 0.20071080327033997, -0.17564943432807922, 0.8763304948806763, 0.3279727101325989, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [20.54798990486232, 22.390956714409896, 25.87399694388617, 25.941985043626758, 167.7741278409958]}, "3": {"mean": 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{"mean": 3.6456828117370605, "std": 3.4376182556152344, "pca": [0.7348746061325073, 0.15412700176239014, 0.39995357394218445, -0.5048868060112, 0.14605028927326202, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [53.80574798957725, 59.13737664114793, 63.77483445510589, 64.49582161233111, 328.111458748579]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "4": {"neuron_profiles": {"0": {"mean": 0.33058682084083557, "std": 0.5708668231964111, "pca": [-0.14674228429794312, 0.8148515224456787, -0.27071091532707214, -0.48173391819000244, 0.09556003659963608, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [9.336219823116839, 10.294254317484143, 10.944322365438062, 11.050697927590742, 29.752812057733536]}, "1": {"mean": -0.9492141008377075, "std": 0.7675719261169434, "pca": [-0.20111997425556183, 0.31530800461769104, -0.03232688829302788, 0.7268574237823486, 0.5751215815544128, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [12.113853549717478, 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105.67718844115734]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "6": {"neuron_profiles": {"0": {"mean": 1.1906405687332153, "std": 1.6502057313919067, "pca": [0.44895559549331665, -0.35345616936683655, 0.5892820358276367, 0.5704115629196167, -0.02974853292107582, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [25.588023129514053, 27.06228354929203, 29.74886822879129, 30.333626420120343, 107.1576459556818]}, "1": {"mean": 0.4424531161785126, "std": 1.1177078485488892, "pca": [-0.2998192608356476, 0.8026441335678101, 0.3766061067581177, 0.34731870889663696, 0.058381468057632446, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [17.528115845120677, 19.74571524664797, 19.975513645214342, 20.354218504635007, 39.820784509181976]}, "2": {"mean": -1.3004281520843506, "std": 0.9685875773429871, "pca": [-0.26359960436820984, -0.1809648722410202, -0.474799245595932, 0.6141757369041443, 0.5432502031326294, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [14.597084705782134, 15.761031688774356, 17.585907505027755, 17.736709525679164, 117.03853303194046]}, "3": {"mean": 1.723825454711914, "std": 1.9035606384277344, "pca": [0.5183565616607666, 0.23356051743030548, 0.08525978773832321, -0.31188803911209106, 0.7564473152160645, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [29.110220131932866, 30.733139978664877, 34.57989640750377, 34.88055974776557, 155.14428101480007]}, "4": {"mean": 2.187988042831421, "std": 2.235790729522705, "pca": [0.6085795164108276, 0.3788566589355469, -0.527457058429718, 0.28198301792144775, -0.3582921624183655, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [33.83289036874825, 36.26459519195639, 40.65896639293157, 40.91792574569243, 196.91890773177147]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -1.9493796825408936, "std": 3.5893726348876953, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [56.439003984018356, 58.27058823136777, 62.88900944254473, 64.17222199457878, 175.44415926933289]}}, "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": [[1.055408, 0.324125, 0.523447, 0.660305, -0.100419], [-0.209152, 0.035831, -0.014838, -0.658273, -0.509107], [-0.445336, -0.193703, 0.018036, -0.1075, -0.294989], [0.74088, 0.718334, 0.742986, 0.385729, -0.276662], [-0.004704, -0.296544, -0.40005, -0.101976, -0.359248]], "network.0.bias": [-0.486854, -0.739478, -0.400319, -0.194342, 0.29732], "network.2.weight": [[-0.701524, 0.335853, -0.088284, 0.09127, -0.269911], [-0.150563, -0.01914, 0.089223, -0.164023, 0.083545], [0.069227, -0.030145, 0.313586, -0.102367, 0.359888], [0.340985, -0.189835, 0.029858, 0.402271, -0.174702], [0.652964, -0.042404, -0.097981, 0.445859, 0.141313]], "network.2.bias": [0.655802, -0.072409, -0.634201, -0.712233, -0.708333], "network.4.weight": [[0.771788, -0.015914, -0.154155, -0.265719, 0.033231], [0.356624, -0.387264, 0.281655, -0.186056, -0.095124], [-0.231736, 0.120513, 0.387442, 0.287068, 0.828583], [0.196333, -0.263101, -0.326964, -0.419416, -0.051986], [-0.370035, -0.437146, 0.373709, 0.207995, -0.394559]], "network.4.bias": [0.759483, -0.189231, -0.367233, -0.170441, -0.155715], "network.6.weight": [[-0.397834, 0.21836, 0.454553, 0.444325, -0.208796], [0.843128, 0.2617, -0.244524, 0.090921, -0.204594], [-0.166515, -0.226579, -0.307628, -0.236003, -0.259897], [0.210414, 0.022958, 0.592673, -0.398742, -0.268499], [0.361002, -0.217024, 0.707198, -0.325583, -0.308674]], "network.6.bias": [-0.210909, 0.920473, -0.161286, -0.421454, -0.419185], "network.8.weight": [[-0.365098, 0.916659, -0.114748, -0.398764, -0.7861]], "network.8.bias": [0.308807]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.689653068780899, "train_acc": 0.57, "val_loss": 0.6498641967773438, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6126033067703247, "train_acc": 0.57, "val_loss": 0.5166352987289429, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6232578456401825, "train_acc": 0.59, "val_loss": 0.6347797513008118, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5706976354122162, "train_acc": 0.745, "val_loss": 0.34750255942344666, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.470492884516716, "train_acc": 0.785, "val_loss": 0.3028901219367981, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4430810660123825, "train_acc": 0.785, "val_loss": 0.3670356273651123, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3495885133743286, "train_acc": 0.855, "val_loss": 0.24906709790229797, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3445315808057785, "train_acc": 0.825, "val_loss": 0.25456535816192627, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.29633355140686035, "train_acc": 0.875, "val_loss": 0.34348320960998535, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3051825016736984, "train_acc": 0.875, "val_loss": 0.27995094656944275, "val_acc": 0.92}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6498641967773438, "final_val_loss": 0.5166352987289429, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.6347797513008118, "final_val_loss": 0.27995094656944275, "initial_val_acc": 0.7, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 6}, "improvement": 0.38, "first_improvement_epoch": 1}}
|
9,642
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.38, "improved_accuracy": 0.88, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4767, "learning_rate": 0.044109258547796154, "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:
{
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[
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[
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[
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"network.0.bias": [
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}
## Activation Signature
### 0
mean: [1.470131, 1.084881, 0.985282, -1.009888, 1.017962, 1.111337]
std: [2.310259, 1.862576, 1.147335, 1.942031, 1.642321, 1.510416]
pca: [[0.579957, -0.452890, 0.478394, -0.401646, 0.064479, -0.253380, 0.000000, 0.000000, 0.000000, 0.000000], [-0.491377, 0.055166, 0.489125, -0.511906, -0.033649, 0.503072, 0.000000, 0.000000, 0.000000, 0.000000], [0.223187, -0.245035, 0.291566, 0.610272, 0.268843, 0.600355, 0.000000, 0.000000, 0.000000, 0.000000], [0.182746, 0.771020, 0.529245, 0.182289, 0.076853, -0.229992, 0.000000, 0.000000, 0.000000, 0.000000], [-0.390570, -0.325676, 0.395135, 0.408100, -0.543578, -0.351050, 0.000000, 0.000000, 0.000000, 0.000000], [-0.431792, -0.176827, 0.103213, 0.066530, 0.788067, -0.382307, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.682123, 36.894165, 38.365369, 38.886449, 132.311755], [30.178758, 31.810082, 34.356231, 35.900669, 97.639256], [18.618135, 20.039075, 20.317868, 21.677923, 88.675419], [32.979993, 33.151668, 35.033166, 38.393295, 90.889944], [25.746934, 27.954127, 28.560948, 31.574396, 91.616624], [21.890849, 23.886548, 25.448477, 25.597574, 100.020339]]
### 2
mean: [0.343524, 0.869093, 2.283792, -0.120689, -2.105200, 2.878786]
std: [1.648192, 2.244225, 1.690467, 0.572413, 1.007403, 1.706147]
pca: [[0.443219, 0.381754, -0.372934, -0.065535, -0.416946, 0.583612, 0.000000, 0.000000, 0.000000, 0.000000], [0.613709, 0.494049, 0.334907, 0.212811, 0.377487, -0.281654, 0.000000, 0.000000, 0.000000, 0.000000], [-0.451889, 0.404169, -0.026797, 0.769082, -0.200536, 0.004777, 0.000000, 0.000000, 0.000000, 0.000000], [-0.107163, 0.005948, 0.846616, -0.085483, -0.175992, 0.483157, 0.000000, 0.000000, 0.000000, 0.000000], [0.168831, -0.441224, -0.114345, 0.462211, 0.530559, 0.518276, 0.000000, 0.000000, 0.000000, 0.000000], [-0.427465, 0.502108, -0.134928, -0.371460, 0.575308, 0.279275, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.922801, 25.455404, 25.554242, 29.186600, 30.917190], [34.184382, 35.133548, 36.035114, 37.106608, 78.218379], [26.057204, 27.299518, 28.672019, 35.766654, 205.541294], [8.832133, 9.333681, 9.738742, 10.105448, 10.862050], [15.407004, 15.509730, 19.758152, 19.961730, 189.468043], [26.694912, 27.741394, 30.949205, 35.515923, 259.090704]]
### 4
mean: [0.491214, -1.686527, 1.007332, 2.391601, 1.454040, 1.003527]
std: [1.218818, 0.685210, 1.100133, 2.737627, 1.447589, 2.226267]
pca: [[-0.300929, 0.203978, -0.610184, 0.055937, -0.600404, -0.363175, 0.000000, 0.000000, 0.000000, 0.000000], [-0.093554, -0.366844, -0.245745, 0.498521, -0.210701, 0.709482, 0.000000, 0.000000, 0.000000, 0.000000], [-0.272848, 0.168896, 0.722585, 0.421088, -0.427649, -0.121248, 0.000000, 0.000000, 0.000000, 0.000000], [0.646034, 0.679572, -0.064324, 0.161518, -0.164840, 0.251841, 0.000000, 0.000000, 0.000000, 0.000000], [-0.339462, 0.369807, -0.192928, 0.556400, 0.620536, -0.127047, 0.000000, 0.000000, 0.000000, 0.000000], [-0.541894, 0.443528, 0.061623, -0.485143, -0.000123, 0.520071, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.950069, 20.011755, 21.024676, 22.806250, 44.209215], [10.948944, 11.225033, 12.979356, 14.466717, 151.787416], [16.918029, 17.436081, 17.447311, 20.910375, 90.659927], [41.658224, 42.083768, 43.264313, 53.905414, 215.244076], [22.843769, 24.545570, 24.581880, 27.020263, 130.863616], [35.264824, 36.655298, 37.609728, 41.332785, 90.317410]]
### 6
mean: [-1.312631, -1.568623, -1.405859, 1.367380, 1.493079, 0.962049]
std: [0.776095, 0.889750, 0.863287, 4.044526, 2.732297, 1.178547]
pca: [[-0.036397, 0.534533, -0.055545, -0.505363, 0.515354, -0.434607, 0.000000, 0.000000, 0.000000, 0.000000], [0.097196, 0.525510, -0.351952, 0.689159, 0.271840, 0.204168, 0.000000, 0.000000, 0.000000, 0.000000], [0.065136, 0.564522, 0.537054, -0.203284, -0.289473, 0.513349, 0.000000, 0.000000, 0.000000, 0.000000], [0.802989, -0.078474, -0.404084, -0.336368, -0.008134, 0.269365, 0.000000, 0.000000, 0.000000, 0.000000], [0.541182, -0.134026, 0.639383, 0.315515, 0.311168, -0.289781, 0.000000, 0.000000, 0.000000, 0.000000], [-0.217522, -0.308719, 0.111910, -0.125105, 0.692695, 0.591079, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.751428, 12.257413, 14.152188, 15.485180, 118.136806], [13.897059, 13.967142, 15.640265, 18.001793, 141.176026], [13.479400, 15.112308, 16.139028, 16.913554, 126.527288], [60.769507, 63.237354, 66.745338, 72.790707, 123.064171], [41.558692, 42.919348, 45.547172, 49.554635, 134.377113], [17.413121, 17.856984, 19.697859, 21.666899, 86.584439]]
### 8
mean: [-2.333874]
std: [4.433969]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[69.944140, 70.988996, 79.312068, 82.709117, 210.048634]]
## 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:
{
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[
-0.767996,
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0.481009,
0.350647,
0.770518
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0.240772,
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[
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0.314918,
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0.385367
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[
0.118035,
-0.572971,
0.22543,
-0.599694,
0.298449
],
[
0.341333,
0.366248,
0.379677,
0.155384,
-0.444266
],
[
0.355796,
0.209783,
0.174768,
0.152102,
-0.677101
]
],
"network.0.bias": [
0.090957,
0.369589,
0.106936,
0.33433,
-0.652581,
0.430143
],
"network.2.weight": [
[
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0.215585,
0.079793,
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[
0.701201,
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0.252385,
0.254777,
0.025626,
-0.424597
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[
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0.244865,
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0.199492,
0.516414
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[
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0.066824,
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[
0.296261,
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0.410395,
0.503798
]
],
"network.2.bias": [
0.018417,
0.575431,
0.142344,
-0.246918,
-0.097322,
0.399792
],
"network.4.weight": [
[
0.239914,
0.538856,
0.028508,
0.041702,
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-0.166265
],
[
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0.125269,
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0.050669,
0.097761,
-0.217664
],
[
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0.196787
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[
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0.737857,
0.211829,
0.215841,
0.527345
],
[
0.0265,
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0.064989,
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0.038993,
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],
[
0.606502,
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0.305854,
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]
],
"network.4.bias": [
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0.409311,
0.044597,
0.339013,
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"network.6.weight": [
[
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[
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[
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[
0.366644,
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[
0.19894,
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0.798869,
0.303078
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[
0.017039,
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"network.6.bias": [
-0.103443,
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0.442381,
0.445917,
0.42195
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"network.8.weight": [
[
0.07789,
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0.150683,
-0.78305,
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0.359202
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"network.8.bias": [
0.134513
]
}
## Activation Signature
### 0
mean: [1.470131, 1.084881, 0.985282, -1.009888, 1.017962, 1.111337]
std: [2.310259, 1.862576, 1.147335, 1.942031, 1.642321, 1.510416]
pca: [[0.579957, -0.452890, 0.478394, -0.401646, 0.064479, -0.253380, 0.000000, 0.000000, 0.000000, 0.000000], [-0.491377, 0.055166, 0.489125, -0.511906, -0.033649, 0.503072, 0.000000, 0.000000, 0.000000, 0.000000], [0.223187, -0.245035, 0.291566, 0.610272, 0.268843, 0.600355, 0.000000, 0.000000, 0.000000, 0.000000], [0.182746, 0.771020, 0.529245, 0.182289, 0.076853, -0.229992, 0.000000, 0.000000, 0.000000, 0.000000], [-0.390570, -0.325676, 0.395135, 0.408100, -0.543578, -0.351050, 0.000000, 0.000000, 0.000000, 0.000000], [-0.431792, -0.176827, 0.103213, 0.066530, 0.788067, -0.382307, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.682123, 36.894165, 38.365369, 38.886449, 132.311755], [30.178758, 31.810082, 34.356231, 35.900669, 97.639256], [18.618135, 20.039075, 20.317868, 21.677923, 88.675419], [32.979993, 33.151668, 35.033166, 38.393295, 90.889944], [25.746934, 27.954127, 28.560948, 31.574396, 91.616624], [21.890849, 23.886548, 25.448477, 25.597574, 100.020339]]
### 2
mean: [0.343524, 0.869093, 2.283792, -0.120689, -2.105200, 2.878786]
std: [1.648192, 2.244225, 1.690467, 0.572413, 1.007403, 1.706147]
pca: [[0.443219, 0.381754, -0.372934, -0.065535, -0.416946, 0.583612, 0.000000, 0.000000, 0.000000, 0.000000], [0.613709, 0.494049, 0.334907, 0.212811, 0.377487, -0.281654, 0.000000, 0.000000, 0.000000, 0.000000], [-0.451889, 0.404169, -0.026797, 0.769082, -0.200536, 0.004777, 0.000000, 0.000000, 0.000000, 0.000000], [-0.107163, 0.005948, 0.846616, -0.085483, -0.175992, 0.483157, 0.000000, 0.000000, 0.000000, 0.000000], [0.168831, -0.441224, -0.114345, 0.462211, 0.530559, 0.518276, 0.000000, 0.000000, 0.000000, 0.000000], [-0.427465, 0.502108, -0.134928, -0.371460, 0.575308, 0.279275, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.922801, 25.455404, 25.554242, 29.186600, 30.917190], [34.184382, 35.133548, 36.035114, 37.106608, 78.218379], [26.057204, 27.299518, 28.672019, 35.766654, 205.541294], [8.832133, 9.333681, 9.738742, 10.105448, 10.862050], [15.407004, 15.509730, 19.758152, 19.961730, 189.468043], [26.694912, 27.741394, 30.949205, 35.515923, 259.090704]]
### 4
mean: [0.491214, -1.686527, 1.007332, 2.391601, 1.454040, 1.003527]
std: [1.218818, 0.685210, 1.100133, 2.737627, 1.447589, 2.226267]
pca: [[-0.300929, 0.203978, -0.610184, 0.055937, -0.600404, -0.363175, 0.000000, 0.000000, 0.000000, 0.000000], [-0.093554, -0.366844, -0.245745, 0.498521, -0.210701, 0.709482, 0.000000, 0.000000, 0.000000, 0.000000], [-0.272848, 0.168896, 0.722585, 0.421088, -0.427649, -0.121248, 0.000000, 0.000000, 0.000000, 0.000000], [0.646034, 0.679572, -0.064324, 0.161518, -0.164840, 0.251841, 0.000000, 0.000000, 0.000000, 0.000000], [-0.339462, 0.369807, -0.192928, 0.556400, 0.620536, -0.127047, 0.000000, 0.000000, 0.000000, 0.000000], [-0.541894, 0.443528, 0.061623, -0.485143, -0.000123, 0.520071, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.950069, 20.011755, 21.024676, 22.806250, 44.209215], [10.948944, 11.225033, 12.979356, 14.466717, 151.787416], [16.918029, 17.436081, 17.447311, 20.910375, 90.659927], [41.658224, 42.083768, 43.264313, 53.905414, 215.244076], [22.843769, 24.545570, 24.581880, 27.020263, 130.863616], [35.264824, 36.655298, 37.609728, 41.332785, 90.317410]]
### 6
mean: [-1.312631, -1.568623, -1.405859, 1.367380, 1.493079, 0.962049]
std: [0.776095, 0.889750, 0.863287, 4.044526, 2.732297, 1.178547]
pca: [[-0.036397, 0.534533, -0.055545, -0.505363, 0.515354, -0.434607, 0.000000, 0.000000, 0.000000, 0.000000], [0.097196, 0.525510, -0.351952, 0.689159, 0.271840, 0.204168, 0.000000, 0.000000, 0.000000, 0.000000], [0.065136, 0.564522, 0.537054, -0.203284, -0.289473, 0.513349, 0.000000, 0.000000, 0.000000, 0.000000], [0.802989, -0.078474, -0.404084, -0.336368, -0.008134, 0.269365, 0.000000, 0.000000, 0.000000, 0.000000], [0.541182, -0.134026, 0.639383, 0.315515, 0.311168, -0.289781, 0.000000, 0.000000, 0.000000, 0.000000], [-0.217522, -0.308719, 0.111910, -0.125105, 0.692695, 0.591079, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.751428, 12.257413, 14.152188, 15.485180, 118.136806], [13.897059, 13.967142, 15.640265, 18.001793, 141.176026], [13.479400, 15.112308, 16.139028, 16.913554, 126.527288], [60.769507, 63.237354, 66.745338, 72.790707, 123.064171], [41.558692, 42.919348, 45.547172, 49.554635, 134.377113], [17.413121, 17.856984, 19.697859, 21.666899, 86.584439]]
### 8
mean: [-2.333874]
std: [4.433969]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[69.944140, 70.988996, 79.312068, 82.709117, 210.048634]]
## 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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49.55463539402916, 134.3771134018898]}, "5": {"mean": 0.9620492458343506, "std": 1.1785472631454468, "pca": [-0.21752183139324188, -0.3087194561958313, 0.11191035807132721, -0.12510478496551514, 0.6926952600479126, 0.5910792946815491, 0.0, 0.0, 0.0, 0.0], "fourier": [17.413120798304305, 17.856983781955943, 19.69785937038698, 21.666899147785642, 86.58443929255009]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -2.333873748779297, "std": 4.433969497680664, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [69.944140048088, 70.98899567214443, 79.31206798671954, 82.70911650644854, 210.0486344397068]}}, "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": [[-0.767996, -0.204213, 0.481009, 0.350647, 0.770518], [0.713431, -0.2847, 0.367271, 0.240772, -0.759938], [-0.450579, 0.280626, 0.314918, -0.095788, 0.385367], [0.118035, -0.572971, 0.22543, -0.599694, 0.298449], [0.341333, 0.366248, 0.379677, 0.155384, -0.444266], [0.355796, 0.209783, 0.174768, 0.152102, -0.677101]], "network.0.bias": [0.090957, 0.369589, 0.106936, 0.33433, -0.652581, 0.430143], "network.2.weight": [[0.54428, -0.004799, 0.215585, 0.079793, -0.269431, -0.44051], [0.701201, -0.587798, 0.252385, 0.254777, 0.025626, -0.424597], [0.106948, 0.665987, 0.244865, -0.553368, 0.199492, 0.516414], [-0.303047, -0.056138, 0.43599, -0.08406, 0.342267, -0.092521], [-0.171207, -0.421793, -0.50921, -0.016236, 0.066824, -0.476084], [0.296261, 0.563269, -0.014403, -0.050318, 0.410395, 0.503798]], "network.2.bias": [0.018417, 0.575431, 0.142344, -0.246918, -0.097322, 0.399792], "network.4.weight": [[0.239914, 0.538856, 0.028508, 0.041702, -0.077992, -0.166265], [-0.297764, 0.125269, -0.202213, 0.050669, 0.097761, -0.217664], [-0.06103, 0.63012, -0.317977, -0.211597, -0.134236, 0.196787], [-0.083458, -0.619115, 0.737857, 0.211829, 0.215841, 0.527345], [0.0265, 0.868276, 0.064989, -0.296145, 0.038993, -0.056752], [0.606502, 0.864149, -0.119783, -0.26423, 0.305854, -0.042532]], "network.4.bias": [-0.011764, -0.541268, 0.409311, 0.044597, 0.339013, -0.185329], "network.6.weight": [[-0.45653, 0.201155, 0.317428, -0.285275, -0.152186, -0.216736], [-0.331926, -0.396531, -0.236149, -0.432763, 0.101173, 0.03723], [-0.355401, 0.334305, 0.280339, -0.373237, 0.302216, -0.402991], [0.366644, 0.354644, 0.765957, -0.555508, 0.26209, 0.747463], [0.19894, -0.128355, 0.20226, -0.323562, 0.798869, 0.303078], [0.017039, -0.072785, -0.178834, 0.358367, -0.137006, -0.013589]], "network.6.bias": [-0.103443, -0.171199, -0.42152, 0.442381, 0.445917, 0.42195], "network.8.weight": [[0.07789, 0.08555, 0.150683, -0.78305, -0.640677, 0.359202]], "network.8.bias": [0.134513]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6743362545967102, "train_acc": 0.6, "val_loss": 0.7601139545440674, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6673320233821869, "train_acc": 0.6, "val_loss": 0.7497709393501282, "val_acc": 0.38}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6614050567150116, "train_acc": 0.6, "val_loss": 0.7053554058074951, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6279042661190033, "train_acc": 0.53, "val_loss": 0.5809799432754517, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5277856886386871, "train_acc": 0.715, "val_loss": 0.4898587763309479, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5049274861812592, "train_acc": 0.75, "val_loss": 0.4597947299480438, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.467388853430748, "train_acc": 0.75, "val_loss": 0.4191482663154602, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.42052261531352997, "train_acc": 0.79, "val_loss": 0.724708080291748, "val_acc": 0.58}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.45075300335884094, "train_acc": 0.75, "val_loss": 0.358490526676178, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.4314384013414383, "train_acc": 0.785, "val_loss": 0.4215293526649475, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.45821061730384827, "train_acc": 0.77, "val_loss": 0.42537057399749756, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.4457477927207947, "train_acc": 0.765, "val_loss": 0.4304666221141815, "val_acc": 0.8}], "summary": {"total_epochs": 12, "degraded_epochs": 3, "improved_epochs": 9, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.7601139545440674, "final_val_loss": 0.7053554058074951, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.5809799432754517, "final_val_loss": 0.4304666221141815, "initial_val_acc": 0.8, "final_val_acc": 0.8, "best_val_acc": 0.88, "best_epoch": 8}, "improvement": 0.5, "first_improvement_epoch": 2}}
|
9,643
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.56, "improved_accuracy": 0.9, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8764, "learning_rate": 0.05094483557700618, "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: 5
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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[
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],
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}
## Activation Signature
### 0
mean: [2.487170, 0.604503, 1.546087, -0.240481, 1.166015]
std: [2.209284, 2.148311, 1.437409, 1.426904, 1.673786]
pca: [[0.644400, -0.116231, 0.545299, -0.510923, -0.113340, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.534297, -0.571639, 0.474478, -0.122656, 0.384163, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.343977, -0.325011, 0.282791, 0.829482, -0.089649, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.050308, 0.652210, 0.375245, 0.175165, 0.632930, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.422403, -0.358761, -0.506696, -0.072043, 0.656457, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.234886, 38.907272, 44.981835, 45.141398, 223.845324], [33.103335, 37.222070, 39.504536, 44.257289, 54.405313], [20.031070, 21.067108, 24.305127, 28.090405, 139.147849], [21.643296, 23.531003, 23.650562, 23.756764, 24.968383], [27.817364, 29.096652, 31.806163, 36.871892, 104.941374]]
### 2
mean: [1.364345, 1.335226, -3.604963, -1.243974, 0.484752]
std: [1.925915, 1.883990, 1.946357, 1.146185, 0.759214]
pca: [[0.564964, -0.084126, 0.672654, -0.390637, -0.262066, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.505103, 0.727985, -0.246944, -0.105078, 0.378004, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.537147, 0.667040, 0.315515, -0.113943, -0.392426, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.328609, -0.051586, 0.471870, -0.185123, 0.795251, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.170810, 0.123928, 0.405395, 0.888318, 0.044863, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.075031, 32.535561, 33.871031, 41.648128, 122.791047], [30.744360, 34.979413, 36.394043, 41.917686, 120.170344], [30.066554, 31.443981, 33.089792, 36.877433, 324.446679], [16.973435, 21.032132, 22.011862, 23.178444, 111.957665], [13.394948, 14.342972, 15.328615, 16.388565, 43.627646]]
### 4
mean: [0.685702, 1.969206, -0.591788, -0.780336, -0.166864]
std: [0.829884, 2.100763, 0.734575, 0.486565, 0.783741]
pca: [[0.331099, -0.121174, -0.027910, 0.927383, -0.121953, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.839247, 0.234872, 0.015304, -0.210257, 0.442784, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.269593, 0.588773, -0.666523, 0.194418, 0.314029, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.137697, 0.694943, 0.686486, 0.152897, -0.058762, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.307240, -0.317101, 0.288912, 0.185951, 0.828856, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.224027, 14.368574, 16.023874, 19.766919, 61.713191], [31.900819, 37.000567, 41.495094, 50.082645, 177.228542], [12.000695, 13.230536, 15.263887, 16.784598, 53.260917], [6.630182, 8.621083, 10.028345, 10.381345, 70.230200], [12.641552, 13.552548, 15.017780, 15.287522, 18.330749]]
### 6
mean: [-1.319730, 1.327491, 0.685421, 0.861157, 1.517964]
std: [1.223865, 1.654137, 0.952383, 1.149418, 1.984883]
pca: [[-0.379517, 0.276333, -0.111071, 0.290713, 0.826290, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.512982, -0.171000, -0.480986, -0.547108, 0.420634, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.294856, 0.807388, -0.403719, 0.184058, -0.253609, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.356338, 0.390567, 0.765857, -0.280756, 0.234777, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.615548, -0.299967, 0.082397, 0.709547, 0.144476, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.368403, 21.573535, 24.053870, 29.144737, 118.775723], [25.827906, 29.153645, 32.591023, 39.421787, 119.474156], [14.642353, 16.813638, 19.085542, 22.781003, 61.687874], [17.841032, 20.336467, 22.834847, 27.436105, 77.504119], [31.239585, 34.961761, 39.068677, 47.301345, 136.616745]]
### 8
mean: [-2.088067]
std: [2.491171]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.598239, 44.695506, 48.843016, 58.575770, 187.925991]]
## 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: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.53307,
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-0.423102,
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"network.2.weight": [
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## Activation Signature
### 0
mean: [2.487170, 0.604503, 1.546087, -0.240481, 1.166015]
std: [2.209284, 2.148311, 1.437409, 1.426904, 1.673786]
pca: [[0.644400, -0.116231, 0.545299, -0.510923, -0.113340, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.534297, -0.571639, 0.474478, -0.122656, 0.384163, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.343977, -0.325011, 0.282791, 0.829482, -0.089649, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.050308, 0.652210, 0.375245, 0.175165, 0.632930, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.422403, -0.358761, -0.506696, -0.072043, 0.656457, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.234886, 38.907272, 44.981835, 45.141398, 223.845324], [33.103335, 37.222070, 39.504536, 44.257289, 54.405313], [20.031070, 21.067108, 24.305127, 28.090405, 139.147849], [21.643296, 23.531003, 23.650562, 23.756764, 24.968383], [27.817364, 29.096652, 31.806163, 36.871892, 104.941374]]
### 2
mean: [1.364345, 1.335226, -3.604963, -1.243974, 0.484752]
std: [1.925915, 1.883990, 1.946357, 1.146185, 0.759214]
pca: [[0.564964, -0.084126, 0.672654, -0.390637, -0.262066, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.505103, 0.727985, -0.246944, -0.105078, 0.378004, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.537147, 0.667040, 0.315515, -0.113943, -0.392426, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.328609, -0.051586, 0.471870, -0.185123, 0.795251, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.170810, 0.123928, 0.405395, 0.888318, 0.044863, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.075031, 32.535561, 33.871031, 41.648128, 122.791047], [30.744360, 34.979413, 36.394043, 41.917686, 120.170344], [30.066554, 31.443981, 33.089792, 36.877433, 324.446679], [16.973435, 21.032132, 22.011862, 23.178444, 111.957665], [13.394948, 14.342972, 15.328615, 16.388565, 43.627646]]
### 4
mean: [0.685702, 1.969206, -0.591788, -0.780336, -0.166864]
std: [0.829884, 2.100763, 0.734575, 0.486565, 0.783741]
pca: [[0.331099, -0.121174, -0.027910, 0.927383, -0.121953, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.839247, 0.234872, 0.015304, -0.210257, 0.442784, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.269593, 0.588773, -0.666523, 0.194418, 0.314029, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.137697, 0.694943, 0.686486, 0.152897, -0.058762, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.307240, -0.317101, 0.288912, 0.185951, 0.828856, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.224027, 14.368574, 16.023874, 19.766919, 61.713191], [31.900819, 37.000567, 41.495094, 50.082645, 177.228542], [12.000695, 13.230536, 15.263887, 16.784598, 53.260917], [6.630182, 8.621083, 10.028345, 10.381345, 70.230200], [12.641552, 13.552548, 15.017780, 15.287522, 18.330749]]
### 6
mean: [-1.319730, 1.327491, 0.685421, 0.861157, 1.517964]
std: [1.223865, 1.654137, 0.952383, 1.149418, 1.984883]
pca: [[-0.379517, 0.276333, -0.111071, 0.290713, 0.826290, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.512982, -0.171000, -0.480986, -0.547108, 0.420634, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.294856, 0.807388, -0.403719, 0.184058, -0.253609, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.356338, 0.390567, 0.765857, -0.280756, 0.234777, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.615548, -0.299967, 0.082397, 0.709547, 0.144476, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.368403, 21.573535, 24.053870, 29.144737, 118.775723], [25.827906, 29.153645, 32.591023, 39.421787, 119.474156], [14.642353, 16.813638, 19.085542, 22.781003, 61.687874], [17.841032, 20.336467, 22.834847, 27.436105, 77.504119], [31.239585, 34.961761, 39.068677, 47.301345, 136.616745]]
### 8
mean: [-2.088067]
std: [2.491171]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.598239, 44.695506, 48.843016, 58.575770, 187.925991]]
## 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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{"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": [[0.53307, -0.221253, 0.208032, 0.573377, 0.637779], [-0.582518, 0.5053, 0.239519, 0.178506, -0.84364], [0.421017, 0.136856, -0.257409, 0.42635, 0.235171], [-0.423102, 0.042466, -0.032508, -0.287743, 0.705467], [0.874636, -0.163069, -0.064553, 0.198157, 0.003843]], "network.0.bias": [-0.22376, 0.56601, 0.106143, 0.023543, 0.079894], "network.2.weight": [[0.118101, -0.261112, 0.594322, -0.317482, 0.567647], [0.525528, -0.559957, 0.13305, 0.393798, 0.033101], [-0.512478, -0.559321, -0.542335, 0.228482, -0.245998], [-0.514789, -0.096083, -0.044568, -0.129647, 0.018663], [-0.100426, 0.075392, -0.149334, 0.473935, 0.658745]], "network.2.bias": [-0.141782, 0.247672, -0.571354, 0.273689, -0.116114], "network.4.weight": [[0.167177, 0.318026, -0.021719, 0.160423, 0.073412], [0.531201, 0.586745, -0.229846, -0.390991, 0.435932], [0.033734, -0.460999, 0.108438, -0.045382, 0.00369], [0.039444, -0.376845, 0.387595, 0.287824, 0.327376], [-0.269154, -0.118708, -0.258211, 0.27044, -0.200277]], "network.4.bias": [-0.083732, 0.081186, 0.05278, -0.447195, 0.507919], "network.6.weight": [[-0.438237, -0.414, -0.200747, 0.348093, 0.017292], [0.420412, 0.622392, 0.085919, -0.299006, -0.047577], [0.008737, 0.413669, -0.362606, 0.131532, -0.385852], [0.389588, 0.367778, 0.205586, 0.40016, -0.359941], [0.663806, 0.684504, -0.068766, -0.111128, -0.053055]], "network.6.bias": [-0.19597, -0.185327, -0.043187, -0.061319, -0.284575], "network.8.weight": [[-0.068185, -0.201863, -0.516015, -0.691022, -0.498054]], "network.8.bias": [0.015761]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6818693578243256, "train_acc": 0.565, "val_loss": 0.6844229102134705, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.67277991771698, "train_acc": 0.565, "val_loss": 0.6624627113342285, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6496339440345764, "train_acc": 0.565, "val_loss": 0.6271140575408936, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6619045734405518, "train_acc": 0.485, "val_loss": 0.5970281362533569, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5862562656402588, "train_acc": 0.485, "val_loss": 0.47053512930870056, "val_acc": 0.56}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5070273727178574, "train_acc": 0.485, "val_loss": 0.42290982604026794, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4833632707595825, "train_acc": 0.8, "val_loss": 0.41195619106292725, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4488534480333328, "train_acc": 0.84, "val_loss": 0.3962242901325226, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.42618775367736816, "train_acc": 0.86, "val_loss": 0.379177451133728, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.4108055531978607, "train_acc": 0.86, "val_loss": 0.36104103922843933, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.38696078956127167, "train_acc": 0.865, "val_loss": 0.351948082447052, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.36716482043266296, "train_acc": 0.875, "val_loss": 0.3641844093799591, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3610803335905075, "train_acc": 0.875, "val_loss": 0.3354021906852722, "val_acc": 0.86}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6844229102134705, "final_val_loss": 0.6271140575408936, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.5970281362533569, "final_val_loss": 0.3354021906852722, "initial_val_acc": 0.56, "final_val_acc": 0.86, "best_val_acc": 0.9, "best_epoch": 5}, "improvement": 0.33999999999999997, "first_improvement_epoch": 2}}
|
9,644
|
{"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": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1924, "learning_rate": 0.02299116254059537, "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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## Activation Signature
### 0
mean: [1.168209, 0.883801, 0.195748, 0.857756, 1.038849, 1.265166]
std: [1.132819, 1.995819, 1.644628, 1.453717, 1.733522, 2.154110]
pca: [[-0.029445, -0.322702, -0.061327, 0.844323, -0.054872, 0.418739, 0.000000, 0.000000, 0.000000, 0.000000], [-0.541178, 0.449306, -0.175400, 0.380621, 0.373516, -0.436003, 0.000000, 0.000000, 0.000000, 0.000000], [-0.189504, 0.600828, -0.204068, -0.158091, -0.082516, 0.727770, 0.000000, 0.000000, 0.000000, 0.000000], [-0.079066, 0.327576, 0.844753, 0.187270, -0.367055, -0.055093, 0.000000, 0.000000, 0.000000, 0.000000], [0.454947, 0.359845, -0.420932, 0.239129, -0.577053, -0.310127, 0.000000, 0.000000, 0.000000, 0.000000], [0.676106, 0.310160, 0.181766, 0.158114, 0.618827, 0.075469, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.259475, 17.320131, 18.224801, 18.950119, 105.138853], [31.739385, 32.245569, 37.698495, 47.656553, 79.542080], [21.699101, 22.619684, 24.142236, 28.896562, 36.908869], [22.855332, 23.147687, 23.580739, 25.948790, 77.198056], [24.585994, 26.202361, 26.897357, 27.269478, 93.496370], [31.090414, 31.154089, 32.709170, 38.033294, 113.864936]]
### 2
mean: [1.604236, 2.091449, 1.168909, 0.872372, 0.340873, -0.360164]
std: [2.717724, 2.371968, 1.364154, 0.975060, 1.866030, 1.800599]
pca: [[0.645173, 0.483284, 0.538318, -0.131024, 0.054660, 0.200619, 0.000000, 0.000000, 0.000000, 0.000000], [-0.070459, 0.741856, -0.358214, 0.026431, -0.131367, -0.546272, 0.000000, 0.000000, 0.000000, 0.000000], [0.377862, -0.063258, -0.238297, 0.708791, -0.511865, 0.179006, 0.000000, 0.000000, 0.000000, 0.000000], [-0.140456, 0.250071, -0.104570, 0.529466, 0.742824, 0.273276, 0.000000, 0.000000, 0.000000, 0.000000], [-0.416575, 0.376405, -0.122252, -0.209450, -0.336783, 0.715924, 0.000000, 0.000000, 0.000000, 0.000000], [-0.492693, 0.088703, 0.706563, 0.394393, -0.229213, -0.205109, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.956399, 39.752002, 40.015829, 42.764226, 144.381232], [37.840047, 37.903088, 40.125351, 50.853878, 188.230399], [22.905310, 24.086509, 25.245400, 31.598409, 105.201795], [14.595124, 15.626321, 19.457691, 22.589433, 78.513450], [27.071047, 27.240815, 30.678608, 39.990966, 42.876092], [26.801136, 31.054893, 32.264541, 32.414790, 39.722480]]
### 4
mean: [4.242360, -0.680317, -1.128587, -1.101688, -1.037475, -0.805276]
std: [3.423333, 0.683497, 1.331792, 0.443583, 1.707718, 1.598526]
pca: [[0.790069, 0.204057, 0.567897, 0.006614, -0.106171, -0.018105, 0.000000, 0.000000, 0.000000, 0.000000], [-0.022128, 0.768962, -0.292856, -0.488450, -0.288294, 0.027323, 0.000000, 0.000000, 0.000000, 0.000000], [-0.296557, 0.354362, 0.399794, -0.089748, 0.675739, -0.402454, 0.000000, 0.000000, 0.000000, 0.000000], [-0.022695, 0.450722, -0.163518, 0.863405, -0.103753, -0.115599, 0.000000, 0.000000, 0.000000, 0.000000], [-0.390457, 0.168152, 0.488954, 0.084386, -0.089949, 0.751652, 0.000000, 0.000000, 0.000000, 0.000000], [-0.366583, -0.100305, 0.407527, -0.026991, -0.655848, -0.508540, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[52.456749, 53.133063, 59.416195, 80.691433, 381.812381], [10.101903, 10.384800, 11.724276, 14.971604, 61.228553], [19.337244, 19.439971, 22.203309, 28.539377, 101.572821], [6.949556, 7.209573, 7.582438, 10.091088, 99.151934], [24.554728, 26.599708, 30.724297, 39.158263, 93.372767], [23.436246, 25.883840, 30.231548, 37.537829, 72.474823]]
### 6
mean: [2.512347, -0.050087, -0.165725, -0.233749, 1.687059, 3.245975]
std: [2.418657, 0.875446, 1.417574, 1.202383, 1.816412, 3.101731]
pca: [[0.505882, 0.250079, -0.124921, 0.798910, -0.063236, -0.153892, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175636, 0.624318, -0.338723, -0.123429, 0.642148, -0.192500, 0.000000, 0.000000, 0.000000, 0.000000], [-0.293518, 0.499382, 0.529521, -0.008308, -0.423651, -0.452242, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249859, 0.360514, 0.237928, 0.243016, 0.002729, 0.831821, 0.000000, 0.000000, 0.000000, 0.000000], [0.379624, -0.100520, 0.724615, -0.057778, 0.562297, -0.034633, 0.000000, 0.000000, 0.000000, 0.000000], [0.648490, 0.397782, -0.087134, -0.532958, -0.296618, 0.203990, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.725665, 39.293303, 41.376158, 57.172923, 226.111195], [13.052769, 13.311142, 13.697805, 15.185474, 19.323983], [20.580644, 20.965515, 23.576794, 24.622692, 32.707166], [17.566480, 19.973221, 20.745986, 21.037374, 27.877182], [26.659091, 29.815026, 30.033193, 42.652333, 151.835281], [44.241900, 50.425973, 53.188064, 73.293676, 292.137787]]
### 8
mean: [-3.106227]
std: [4.127704]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[61.509197, 67.412828, 68.502795, 96.576491, 279.560436]]
## 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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-0.498217,
-0.300987,
-0.546946
]
],
"network.6.bias": [
0.183466,
0.112644,
0.545862,
0.47568,
0.045732,
0.022445
],
"network.8.weight": [
[
-0.545368,
0.604253,
0.511879,
0.426562,
-0.451928,
-0.425986
]
],
"network.8.bias": [
0.026931
]
}
## Activation Signature
### 0
mean: [1.168209, 0.883801, 0.195748, 0.857756, 1.038849, 1.265166]
std: [1.132819, 1.995819, 1.644628, 1.453717, 1.733522, 2.154110]
pca: [[-0.029445, -0.322702, -0.061327, 0.844323, -0.054872, 0.418739, 0.000000, 0.000000, 0.000000, 0.000000], [-0.541178, 0.449306, -0.175400, 0.380621, 0.373516, -0.436003, 0.000000, 0.000000, 0.000000, 0.000000], [-0.189504, 0.600828, -0.204068, -0.158091, -0.082516, 0.727770, 0.000000, 0.000000, 0.000000, 0.000000], [-0.079066, 0.327576, 0.844753, 0.187270, -0.367055, -0.055093, 0.000000, 0.000000, 0.000000, 0.000000], [0.454947, 0.359845, -0.420932, 0.239129, -0.577053, -0.310127, 0.000000, 0.000000, 0.000000, 0.000000], [0.676106, 0.310160, 0.181766, 0.158114, 0.618827, 0.075469, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.259475, 17.320131, 18.224801, 18.950119, 105.138853], [31.739385, 32.245569, 37.698495, 47.656553, 79.542080], [21.699101, 22.619684, 24.142236, 28.896562, 36.908869], [22.855332, 23.147687, 23.580739, 25.948790, 77.198056], [24.585994, 26.202361, 26.897357, 27.269478, 93.496370], [31.090414, 31.154089, 32.709170, 38.033294, 113.864936]]
### 2
mean: [1.604236, 2.091449, 1.168909, 0.872372, 0.340873, -0.360164]
std: [2.717724, 2.371968, 1.364154, 0.975060, 1.866030, 1.800599]
pca: [[0.645173, 0.483284, 0.538318, -0.131024, 0.054660, 0.200619, 0.000000, 0.000000, 0.000000, 0.000000], [-0.070459, 0.741856, -0.358214, 0.026431, -0.131367, -0.546272, 0.000000, 0.000000, 0.000000, 0.000000], [0.377862, -0.063258, -0.238297, 0.708791, -0.511865, 0.179006, 0.000000, 0.000000, 0.000000, 0.000000], [-0.140456, 0.250071, -0.104570, 0.529466, 0.742824, 0.273276, 0.000000, 0.000000, 0.000000, 0.000000], [-0.416575, 0.376405, -0.122252, -0.209450, -0.336783, 0.715924, 0.000000, 0.000000, 0.000000, 0.000000], [-0.492693, 0.088703, 0.706563, 0.394393, -0.229213, -0.205109, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.956399, 39.752002, 40.015829, 42.764226, 144.381232], [37.840047, 37.903088, 40.125351, 50.853878, 188.230399], [22.905310, 24.086509, 25.245400, 31.598409, 105.201795], [14.595124, 15.626321, 19.457691, 22.589433, 78.513450], [27.071047, 27.240815, 30.678608, 39.990966, 42.876092], [26.801136, 31.054893, 32.264541, 32.414790, 39.722480]]
### 4
mean: [4.242360, -0.680317, -1.128587, -1.101688, -1.037475, -0.805276]
std: [3.423333, 0.683497, 1.331792, 0.443583, 1.707718, 1.598526]
pca: [[0.790069, 0.204057, 0.567897, 0.006614, -0.106171, -0.018105, 0.000000, 0.000000, 0.000000, 0.000000], [-0.022128, 0.768962, -0.292856, -0.488450, -0.288294, 0.027323, 0.000000, 0.000000, 0.000000, 0.000000], [-0.296557, 0.354362, 0.399794, -0.089748, 0.675739, -0.402454, 0.000000, 0.000000, 0.000000, 0.000000], [-0.022695, 0.450722, -0.163518, 0.863405, -0.103753, -0.115599, 0.000000, 0.000000, 0.000000, 0.000000], [-0.390457, 0.168152, 0.488954, 0.084386, -0.089949, 0.751652, 0.000000, 0.000000, 0.000000, 0.000000], [-0.366583, -0.100305, 0.407527, -0.026991, -0.655848, -0.508540, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[52.456749, 53.133063, 59.416195, 80.691433, 381.812381], [10.101903, 10.384800, 11.724276, 14.971604, 61.228553], [19.337244, 19.439971, 22.203309, 28.539377, 101.572821], [6.949556, 7.209573, 7.582438, 10.091088, 99.151934], [24.554728, 26.599708, 30.724297, 39.158263, 93.372767], [23.436246, 25.883840, 30.231548, 37.537829, 72.474823]]
### 6
mean: [2.512347, -0.050087, -0.165725, -0.233749, 1.687059, 3.245975]
std: [2.418657, 0.875446, 1.417574, 1.202383, 1.816412, 3.101731]
pca: [[0.505882, 0.250079, -0.124921, 0.798910, -0.063236, -0.153892, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175636, 0.624318, -0.338723, -0.123429, 0.642148, -0.192500, 0.000000, 0.000000, 0.000000, 0.000000], [-0.293518, 0.499382, 0.529521, -0.008308, -0.423651, -0.452242, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249859, 0.360514, 0.237928, 0.243016, 0.002729, 0.831821, 0.000000, 0.000000, 0.000000, 0.000000], [0.379624, -0.100520, 0.724615, -0.057778, 0.562297, -0.034633, 0.000000, 0.000000, 0.000000, 0.000000], [0.648490, 0.397782, -0.087134, -0.532958, -0.296618, 0.203990, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.725665, 39.293303, 41.376158, 57.172923, 226.111195], [13.052769, 13.311142, 13.697805, 15.185474, 19.323983], [20.580644, 20.965515, 23.576794, 24.622692, 32.707166], [17.566480, 19.973221, 20.745986, 21.037374, 27.877182], [26.659091, 29.815026, 30.033193, 42.652333, 151.835281], [44.241900, 50.425973, 53.188064, 73.293676, 292.137787]]
### 8
mean: [-3.106227]
std: [4.127704]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[61.509197, 67.412828, 68.502795, 96.576491, 279.560436]]
## 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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"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": [[0.403888, 0.34, -0.079169, -0.092881, 0.002936], [-0.228607, -0.297809, 0.54834, -0.311032, 0.76396], [-0.430992, -0.449325, 0.372863, 0.120135, 0.51247], [-0.460754, -0.003286, 0.738594, -0.004662, -0.195348], [-0.18559, -0.105673, -0.155904, 0.782409, 0.099107], [-0.504517, 0.289336, -0.089943, 0.771713, -0.279946]], "network.0.bias": [0.406969, 0.290314, -0.117677, 0.145213, -0.012035, 0.244028], "network.2.weight": [[-0.366154, -0.380298, 0.13001, 0.143887, 0.652673, 0.803717], [-0.420087, 0.675317, 0.431961, 0.464193, 0.563603, 0.29253], [0.283058, 0.080111, -0.624282, -0.294253, 0.046188, 0.599657], [0.086815, 0.147485, 0.543833, 0.340609, -0.032745, 0.109068], [-0.418114, 0.542126, 0.516931, 0.376539, -0.112472, -0.120443], [-0.268141, 0.220059, 0.04514, 0.77675, -0.183675, -0.538955]], "network.2.bias": [0.239148, -0.046593, 0.514039, -0.18656, -0.202836, -0.057951], "network.4.weight": [[0.580044, 0.646852, 0.406047, 0.246167, 0.78591, 0.507257], [0.087011, -0.034007, -0.419963, -0.665653, 0.141929, 0.585451], [-0.412308, -0.318086, 0.154607, 0.235108, -0.072025, -0.248954], [-0.064927, 0.178618, -0.373351, -0.384756, -0.095027, 0.150267], [-0.677914, -0.088462, 0.318771, 0.008478, -0.358344, -0.368056], [-0.675605, 0.016301, 0.377344, 0.109249, -0.604933, -0.334504]], "network.4.bias": [0.198291, -0.060105, 0.125703, -0.603138, 0.442303, 0.460382], "network.6.weight": [[0.60918, 0.125083, 0.016491, 0.042752, -0.651345, -0.369728], [-0.124431, -0.040816, 0.281544, -0.725716, 0.500495, 0.661565], [-0.260441, -0.568966, -0.089727, -0.301927, 0.720698, 0.72156], [-0.234959, -0.327174, 0.068304, -0.164111, 0.601035, 0.501243], [0.438711, -0.346846, -0.761177, 0.159451, -0.239569, -0.578857], [0.800987, 0.064359, -0.777135, -0.498217, -0.300987, -0.546946]], "network.6.bias": [0.183466, 0.112644, 0.545862, 0.47568, 0.045732, 0.022445], "network.8.weight": [[-0.545368, 0.604253, 0.511879, 0.426562, -0.451928, -0.425986]], "network.8.bias": [0.026931]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6770431399345398, "train_acc": 0.59, "val_loss": 0.7095598578453064, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6743407845497131, "train_acc": 0.59, "val_loss": 0.6954524517059326, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6496850550174713, "train_acc": 0.59, "val_loss": 0.6614859700202942, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6452521979808807, "train_acc": 0.505, "val_loss": 0.5941169261932373, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5626155436038971, "train_acc": 0.505, "val_loss": 0.5039910674095154, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.47135038673877716, "train_acc": 0.88, "val_loss": 0.40323421359062195, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3888172507286072, "train_acc": 0.905, "val_loss": 0.3129325807094574, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.30156607925891876, "train_acc": 0.905, "val_loss": 0.25706228613853455, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.27375003695487976, "train_acc": 0.92, "val_loss": 0.2410699427127838, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.22573423385620117, "train_acc": 0.93, "val_loss": 0.23112495243549347, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.18991108238697052, "train_acc": 0.93, "val_loss": 0.22379298508167267, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.20371481031179428, "train_acc": 0.935, "val_loss": 0.21860088407993317, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.17332233488559723, "train_acc": 0.935, "val_loss": 0.20912855863571167, "val_acc": 0.94}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7095598578453064, "final_val_loss": 0.6614859700202942, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5941169261932373, "final_val_loss": 0.20912855863571167, "initial_val_acc": 0.48, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 9}, "improvement": 0.45999999999999996, "first_improvement_epoch": 2}}
|
9,645
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.56, "improved_accuracy": 0.88, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8180, "learning_rate": 0.054625868400280116, "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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0.004231
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[
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-0.311063,
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0.158701
],
[
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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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0.105953,
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],
[
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0.932041
],
[
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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.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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],
"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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[
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],
"network.10.bias": [
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],
"network.12.weight": [
[
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]
],
"network.12.bias": [
0.005782
]
}
## Activation Signature
### 0
mean: [1.911114, -2.536020, 1.095302, -1.878456, 1.757963, 1.613108]
std: [2.063227, 1.589562, 1.982918, 1.345845, 1.435118, 2.039601]
pca: [[0.578801, 0.042065, 0.157838, -0.305938, 0.613378, 0.410458, 0.000000, 0.000000, 0.000000, 0.000000], [-0.268528, 0.204397, 0.868691, -0.010459, 0.208858, -0.296241, 0.000000, 0.000000, 0.000000, 0.000000], [0.378261, 0.746649, -0.121359, -0.278625, -0.271521, -0.365172, 0.000000, 0.000000, 0.000000, 0.000000], [-0.341989, 0.215976, 0.164124, -0.442616, -0.404118, 0.671000, 0.000000, 0.000000, 0.000000, 0.000000], [0.328854, 0.240719, 0.243363, 0.754274, -0.261334, 0.370755, 0.000000, 0.000000, 0.000000, 0.000000], [0.474025, -0.542565, 0.345792, -0.252631, -0.524228, -0.150714, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.883289, 32.914316, 36.761054, 40.058624, 172.000260], [26.115831, 27.127972, 27.191821, 30.570835, 228.241783], [32.193938, 32.567154, 38.737224, 39.533174, 98.577190], [21.909114, 22.424827, 23.230852, 27.114153, 169.060992], [24.118602, 24.376339, 24.679418, 25.472613, 158.216693], [33.021115, 36.174494, 41.714444, 45.025231, 145.179728]]
### 2
mean: [-2.098302, -2.563207, 0.213546, 2.087819, 4.127993, 1.664236]
std: [1.485795, 2.055085, 1.336162, 2.129108, 3.561866, 1.770820]
pca: [[-0.294435, 0.051843, 0.244250, 0.217262, -0.105409, 0.890308, 0.000000, 0.000000, 0.000000, 0.000000], [-0.406588, -0.091727, -0.296243, 0.789580, 0.267286, -0.208885, 0.000000, 0.000000, 0.000000, 0.000000], [0.030306, 0.739325, 0.536001, 0.141816, 0.338503, -0.174607, 0.000000, 0.000000, 0.000000, 0.000000], [0.419211, 0.141228, -0.492122, -0.077502, 0.652228, 0.361558, 0.000000, 0.000000, 0.000000, 0.000000], [0.695238, -0.375404, 0.382827, 0.476724, -0.034658, 0.026318, 0.000000, 0.000000, 0.000000, 0.000000], [0.296617, 0.530494, -0.420172, 0.275638, -0.613400, 0.042588, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.271664, 25.500161, 25.924630, 28.875869, 188.847198], [32.367610, 35.528284, 36.905482, 37.933115, 230.688616], [19.625205, 21.754798, 22.197345, 22.435087, 23.482519], [34.253057, 36.674597, 38.446338, 38.789660, 187.903773], [60.206229, 61.944309, 66.019737, 70.535179, 371.519304], [29.901560, 30.859229, 32.350503, 34.314126, 149.781210]]
### 4
mean: [-1.086511, -2.073213, -0.957610, -0.860946, 5.263281, 2.455172]
std: [1.560085, 1.663274, 1.315021, 0.345998, 4.272422, 2.471199]
pca: [[-0.274616, -0.314486, 0.761922, -0.390492, 0.036143, -0.302274, 0.000000, 0.000000, 0.000000, 0.000000], [-0.301379, -0.172728, 0.042178, 0.791773, -0.142209, -0.480030, 0.000000, 0.000000, 0.000000, 0.000000], [-0.233210, -0.263658, 0.260539, 0.246131, -0.372242, 0.780431, 0.000000, 0.000000, 0.000000, 0.000000], [-0.062317, 0.020028, 0.194719, 0.289320, 0.897990, 0.260208, 0.000000, 0.000000, 0.000000, 0.000000], [0.768892, -0.619277, 0.074432, 0.134133, 0.018730, -0.037669, 0.000000, 0.000000, 0.000000, 0.000000], [0.429292, 0.646408, 0.553499, 0.241523, -0.182125, -0.001157, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.768419, 25.662228, 29.410025, 30.058545, 97.785964], [27.720920, 28.272920, 29.822045, 31.303815, 186.589157], [21.187812, 21.293351, 24.854083, 25.068667, 86.184870], [5.598176, 5.799531, 6.321953, 6.614343, 77.485138], [69.551236, 73.839525, 75.260405, 81.521873, 473.695248], [40.727082, 41.345304, 46.080887, 47.272254, 220.965453]]
### 6
mean: [-1.388189, 3.349458, 4.631399, 3.859179, -0.602654, -2.172729]
std: [0.838176, 2.952430, 3.988371, 3.292033, 0.236798, 1.870570]
pca: [[-0.125373, 0.371403, 0.106866, -0.657150, 0.623904, 0.117556, 0.000000, 0.000000, 0.000000, 0.000000], [0.472215, 0.082899, -0.282727, -0.219303, -0.278586, 0.751334, 0.000000, 0.000000, 0.000000, 0.000000], [0.637839, -0.101330, 0.746263, -0.086513, -0.004841, -0.135931, 0.000000, 0.000000, 0.000000, 0.000000], [0.522031, 0.543369, -0.413273, 0.257301, 0.197696, -0.395160, 0.000000, 0.000000, 0.000000, 0.000000], [-0.037353, 0.040358, 0.205730, 0.657662, 0.534271, 0.486504, 0.000000, 0.000000, 0.000000, 0.000000], [-0.283802, 0.740298, 0.372314, 0.117696, -0.456707, 0.101803, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.300922, 14.509995, 16.421086, 17.063970, 124.936974], [46.034961, 50.776977, 53.778748, 55.314463, 301.451130], [62.989122, 68.802621, 72.148203, 76.438984, 416.825898], [55.517023, 55.974216, 59.286157, 61.854784, 347.326127], [3.977941, 4.126450, 4.209074, 4.452165, 54.238829], [31.692484, 32.489827, 36.625265, 37.283489, 195.545600]]
### 8
mean: [5.966893, 6.976488, 6.090473, 8.129530, 6.319175, -1.617607]
std: [5.243572, 6.086197, 5.254357, 7.017133, 5.495340, 1.181779]
pca: [[0.398728, 0.144366, 0.710715, -0.464586, 0.311954, -0.043626, 0.000000, 0.000000, 0.000000, 0.000000], [0.462802, -0.170040, -0.248847, -0.126373, -0.018902, 0.823801, 0.000000, 0.000000, 0.000000, 0.000000], [0.399543, -0.192957, -0.384457, -0.526778, -0.395776, -0.470310, 0.000000, 0.000000, 0.000000, 0.000000], [0.533546, -0.478051, 0.117991, 0.616341, 0.151338, -0.264752, 0.000000, 0.000000, 0.000000, 0.000000], [0.417677, 0.813860, -0.280124, 0.253783, 0.090233, -0.110275, 0.000000, 0.000000, 0.000000, 0.000000], [-0.089833, -0.148701, -0.439044, -0.215435, 0.845366, -0.126501, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[82.550090, 90.530597, 96.342549, 97.882685, 537.020328], [94.945642, 105.247597, 111.569702, 114.187996, 627.883865], [81.850039, 90.884818, 96.283137, 98.656097, 548.142592], [108.720285, 121.461449, 128.306414, 132.027627, 731.657687], [88.220029, 94.594397, 101.669378, 101.707497, 568.725697], [18.899181, 20.344324, 21.798594, 21.859933, 145.584600]]
### 10
mean: [16.747757, -0.210014, -10.221655, -1.236151, -2.909642, -1.226443]
std: [14.717957, 0.029808, 8.807491, 0.751802, 2.290348, 0.870136]
pca: [[0.848710, -0.132500, 0.493126, 0.136638, 0.015799, -0.006494, 0.000000, 0.000000, 0.000000, 0.000000], [0.000391, 0.166947, 0.047508, 0.037779, -0.026074, 0.983750, 0.000000, 0.000000, 0.000000, 0.000000], [-0.507884, -0.088372, 0.845607, 0.030946, -0.131596, -0.030314, 0.000000, 0.000000, 0.000000, 0.000000], [-0.042995, -0.553983, 0.041280, -0.489185, 0.658629, 0.128280, 0.000000, 0.000000, 0.000000, 0.000000], [-0.131957, -0.550324, -0.145155, 0.799732, 0.117394, 0.072855, 0.000000, 0.000000, 0.000000, 0.000000], [-0.049838, 0.580525, 0.129403, 0.316342, 0.730876, -0.097524, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[230.059431, 254.834109, 270.066524, 275.636725, 1507.298105], [0.463303, 0.504272, 0.508813, 0.573256, 18.901272], [137.285134, 152.579055, 161.449975, 165.130886, 919.948948], [12.526656, 13.147081, 13.219440, 14.654136, 111.253620], [35.786243, 39.747726, 41.518379, 43.551731, 261.867781], [14.708246, 14.900338, 15.503835, 16.343875, 110.379830]]
### 12
mean: [-7.475887]
std: [6.565501]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[102.431011, 113.931352, 120.461614, 122.951163, 672.829816]]
## 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": [
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0.405227,
0.131209,
0.320012,
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],
[
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[
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],
[
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-0.311063,
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[
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],
[
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0.67749,
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0.487652,
-0.408087
]
],
"network.0.bias": [
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-0.131197,
-0.055808,
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0.693482,
-0.107935
],
"network.2.weight": [
[
-0.251185,
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],
[
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-0.266657,
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-0.171628,
-0.388451,
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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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0.330148
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[
0.05875,
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],
"network.4.bias": [
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0.00064
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"network.6.weight": [
[
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"network.6.bias": [
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0.341205
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"network.8.weight": [
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[
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[
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[
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]
],
"network.8.bias": [
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-0.249563
],
"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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],
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[
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],
"network.12.bias": [
0.005782
]
}
## Activation Signature
### 0
mean: [1.911114, -2.536020, 1.095302, -1.878456, 1.757963, 1.613108]
std: [2.063227, 1.589562, 1.982918, 1.345845, 1.435118, 2.039601]
pca: [[0.578801, 0.042065, 0.157838, -0.305938, 0.613378, 0.410458, 0.000000, 0.000000, 0.000000, 0.000000], [-0.268528, 0.204397, 0.868691, -0.010459, 0.208858, -0.296241, 0.000000, 0.000000, 0.000000, 0.000000], [0.378261, 0.746649, -0.121359, -0.278625, -0.271521, -0.365172, 0.000000, 0.000000, 0.000000, 0.000000], [-0.341989, 0.215976, 0.164124, -0.442616, -0.404118, 0.671000, 0.000000, 0.000000, 0.000000, 0.000000], [0.328854, 0.240719, 0.243363, 0.754274, -0.261334, 0.370755, 0.000000, 0.000000, 0.000000, 0.000000], [0.474025, -0.542565, 0.345792, -0.252631, -0.524228, -0.150714, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.883289, 32.914316, 36.761054, 40.058624, 172.000260], [26.115831, 27.127972, 27.191821, 30.570835, 228.241783], [32.193938, 32.567154, 38.737224, 39.533174, 98.577190], [21.909114, 22.424827, 23.230852, 27.114153, 169.060992], [24.118602, 24.376339, 24.679418, 25.472613, 158.216693], [33.021115, 36.174494, 41.714444, 45.025231, 145.179728]]
### 2
mean: [-2.098302, -2.563207, 0.213546, 2.087819, 4.127993, 1.664236]
std: [1.485795, 2.055085, 1.336162, 2.129108, 3.561866, 1.770820]
pca: [[-0.294435, 0.051843, 0.244250, 0.217262, -0.105409, 0.890308, 0.000000, 0.000000, 0.000000, 0.000000], [-0.406588, -0.091727, -0.296243, 0.789580, 0.267286, -0.208885, 0.000000, 0.000000, 0.000000, 0.000000], [0.030306, 0.739325, 0.536001, 0.141816, 0.338503, -0.174607, 0.000000, 0.000000, 0.000000, 0.000000], [0.419211, 0.141228, -0.492122, -0.077502, 0.652228, 0.361558, 0.000000, 0.000000, 0.000000, 0.000000], [0.695238, -0.375404, 0.382827, 0.476724, -0.034658, 0.026318, 0.000000, 0.000000, 0.000000, 0.000000], [0.296617, 0.530494, -0.420172, 0.275638, -0.613400, 0.042588, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.271664, 25.500161, 25.924630, 28.875869, 188.847198], [32.367610, 35.528284, 36.905482, 37.933115, 230.688616], [19.625205, 21.754798, 22.197345, 22.435087, 23.482519], [34.253057, 36.674597, 38.446338, 38.789660, 187.903773], [60.206229, 61.944309, 66.019737, 70.535179, 371.519304], [29.901560, 30.859229, 32.350503, 34.314126, 149.781210]]
### 4
mean: [-1.086511, -2.073213, -0.957610, -0.860946, 5.263281, 2.455172]
std: [1.560085, 1.663274, 1.315021, 0.345998, 4.272422, 2.471199]
pca: [[-0.274616, -0.314486, 0.761922, -0.390492, 0.036143, -0.302274, 0.000000, 0.000000, 0.000000, 0.000000], [-0.301379, -0.172728, 0.042178, 0.791773, -0.142209, -0.480030, 0.000000, 0.000000, 0.000000, 0.000000], [-0.233210, -0.263658, 0.260539, 0.246131, -0.372242, 0.780431, 0.000000, 0.000000, 0.000000, 0.000000], [-0.062317, 0.020028, 0.194719, 0.289320, 0.897990, 0.260208, 0.000000, 0.000000, 0.000000, 0.000000], [0.768892, -0.619277, 0.074432, 0.134133, 0.018730, -0.037669, 0.000000, 0.000000, 0.000000, 0.000000], [0.429292, 0.646408, 0.553499, 0.241523, -0.182125, -0.001157, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.768419, 25.662228, 29.410025, 30.058545, 97.785964], [27.720920, 28.272920, 29.822045, 31.303815, 186.589157], [21.187812, 21.293351, 24.854083, 25.068667, 86.184870], [5.598176, 5.799531, 6.321953, 6.614343, 77.485138], [69.551236, 73.839525, 75.260405, 81.521873, 473.695248], [40.727082, 41.345304, 46.080887, 47.272254, 220.965453]]
### 6
mean: [-1.388189, 3.349458, 4.631399, 3.859179, -0.602654, -2.172729]
std: [0.838176, 2.952430, 3.988371, 3.292033, 0.236798, 1.870570]
pca: [[-0.125373, 0.371403, 0.106866, -0.657150, 0.623904, 0.117556, 0.000000, 0.000000, 0.000000, 0.000000], [0.472215, 0.082899, -0.282727, -0.219303, -0.278586, 0.751334, 0.000000, 0.000000, 0.000000, 0.000000], [0.637839, -0.101330, 0.746263, -0.086513, -0.004841, -0.135931, 0.000000, 0.000000, 0.000000, 0.000000], [0.522031, 0.543369, -0.413273, 0.257301, 0.197696, -0.395160, 0.000000, 0.000000, 0.000000, 0.000000], [-0.037353, 0.040358, 0.205730, 0.657662, 0.534271, 0.486504, 0.000000, 0.000000, 0.000000, 0.000000], [-0.283802, 0.740298, 0.372314, 0.117696, -0.456707, 0.101803, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.300922, 14.509995, 16.421086, 17.063970, 124.936974], [46.034961, 50.776977, 53.778748, 55.314463, 301.451130], [62.989122, 68.802621, 72.148203, 76.438984, 416.825898], [55.517023, 55.974216, 59.286157, 61.854784, 347.326127], [3.977941, 4.126450, 4.209074, 4.452165, 54.238829], [31.692484, 32.489827, 36.625265, 37.283489, 195.545600]]
### 8
mean: [5.966893, 6.976488, 6.090473, 8.129530, 6.319175, -1.617607]
std: [5.243572, 6.086197, 5.254357, 7.017133, 5.495340, 1.181779]
pca: [[0.398728, 0.144366, 0.710715, -0.464586, 0.311954, -0.043626, 0.000000, 0.000000, 0.000000, 0.000000], [0.462802, -0.170040, -0.248847, -0.126373, -0.018902, 0.823801, 0.000000, 0.000000, 0.000000, 0.000000], [0.399543, -0.192957, -0.384457, -0.526778, -0.395776, -0.470310, 0.000000, 0.000000, 0.000000, 0.000000], [0.533546, -0.478051, 0.117991, 0.616341, 0.151338, -0.264752, 0.000000, 0.000000, 0.000000, 0.000000], [0.417677, 0.813860, -0.280124, 0.253783, 0.090233, -0.110275, 0.000000, 0.000000, 0.000000, 0.000000], [-0.089833, -0.148701, -0.439044, -0.215435, 0.845366, -0.126501, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[82.550090, 90.530597, 96.342549, 97.882685, 537.020328], [94.945642, 105.247597, 111.569702, 114.187996, 627.883865], [81.850039, 90.884818, 96.283137, 98.656097, 548.142592], [108.720285, 121.461449, 128.306414, 132.027627, 731.657687], [88.220029, 94.594397, 101.669378, 101.707497, 568.725697], [18.899181, 20.344324, 21.798594, 21.859933, 145.584600]]
### 10
mean: [16.747757, -0.210014, -10.221655, -1.236151, -2.909642, -1.226443]
std: [14.717957, 0.029808, 8.807491, 0.751802, 2.290348, 0.870136]
pca: [[0.848710, -0.132500, 0.493126, 0.136638, 0.015799, -0.006494, 0.000000, 0.000000, 0.000000, 0.000000], [0.000391, 0.166947, 0.047508, 0.037779, -0.026074, 0.983750, 0.000000, 0.000000, 0.000000, 0.000000], [-0.507884, -0.088372, 0.845607, 0.030946, -0.131596, -0.030314, 0.000000, 0.000000, 0.000000, 0.000000], [-0.042995, -0.553983, 0.041280, -0.489185, 0.658629, 0.128280, 0.000000, 0.000000, 0.000000, 0.000000], [-0.131957, -0.550324, -0.145155, 0.799732, 0.117394, 0.072855, 0.000000, 0.000000, 0.000000, 0.000000], [-0.049838, 0.580525, 0.129403, 0.316342, 0.730876, -0.097524, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[230.059431, 254.834109, 270.066524, 275.636725, 1507.298105], [0.463303, 0.504272, 0.508813, 0.573256, 18.901272], [137.285134, 152.579055, 161.449975, 165.130886, 919.948948], [12.526656, 13.147081, 13.219440, 14.654136, 111.253620], [35.786243, 39.747726, 41.518379, 43.551731, 261.867781], [14.708246, 14.900338, 15.503835, 16.343875, 110.379830]]
### 12
mean: [-7.475887]
std: [6.565501]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[102.431011, 113.931352, 120.461614, 122.951163, 672.829816]]
## 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": 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": [[0.693136, 0.405227, 0.131209, 0.320012, -0.409141], [-0.095611, -0.199725, -0.255382, -0.413835, -0.406207], [0.792296, 0.137495, 0.231081, -0.267354, 0.004231], [-0.081776, -0.355443, -0.311063, -0.322443, 0.158701], [0.18083, 0.44591, 0.373045, -0.166475, -0.320556], [0.236706, 0.67749, -0.167792, 0.487652, -0.408087]], "network.0.bias": [-0.145593, -0.131197, -0.055808, 0.016512, 0.693482, -0.107935], "network.2.weight": [[-0.251185, -0.381946, -0.243124, -0.106564, -0.068777, -0.380963], [-0.083678, -0.266657, -0.480424, -0.171628, -0.388451, -0.518985], [-0.099443, 0.063685, 0.521442, -0.715004, 0.447528, -0.570733], [0.427505, 0.234158, 0.488868, -0.137143, 0.105953, 0.317444], [0.702765, 0.102225, 0.134182, -0.112301, 0.471461, 0.932041], [0.36751, 0.131588, 0.63189, -0.29851, 0.176317, -0.190966]], "network.2.bias": [-0.475588, -0.140654, -0.038853, -0.152979, 0.02486, 0.147556], "network.4.weight": [[-0.111518, 0.345548, -0.843931, -0.406235, -0.129393, 0.06607], [-0.143751, 0.209986, -0.29192, -0.058367, -0.231488, -0.396552], [0.134102, 0.144444, -0.450365, -0.180744, -0.118012, -0.203976], [-0.353858, 0.040307, -0.146736, 0.017296, -0.100226, 0.008774], [0.333154, 0.012223, 0.139979, 0.368478, 0.849838, 0.330148], [0.05875, -0.071575, 0.271693, 0.456428, -0.010121, 0.817582]], "network.4.bias": [0.738274, -0.145946, 0.540651, -0.403182, 0.340261, 0.00064], "network.6.weight": [[-0.341088, 0.199326, 0.071, -0.110352, -0.308855, 0.218692], [-0.34923, -0.030884, -0.02006, -0.082918, 0.574335, 0.200458], [-0.718209, -0.191348, -0.297256, -0.406227, 0.850108, 0.103559], [-0.360994, 0.398763, -0.599634, 0.062825, 0.457543, 0.536041], [0.15798, 0.156716, -0.404677, -0.055818, -0.065213, 0.01337], [-0.224749, 0.367105, -0.608897, -0.114614, -0.659517, 0.423054]], "network.6.bias": [-0.260208, -0.117487, 0.023371, 0.233633, -0.278997, 0.341205], "network.8.weight": [[-0.03059, 0.549219, 0.504027, 0.496003, -0.058594, 0.388042], [-0.290394, 0.403532, 0.81997, 0.501458, 0.289587, 0.018823], [0.004692, 0.322147, 0.736864, 0.421397, 0.175993, 0.332596], [-0.009421, 0.551817, 0.9957, 0.439018, 0.180602, 0.169522], [0.331339, 0.293156, 0.45029, 0.867889, -0.175581, 0.046413], [-0.206582, -0.192154, -0.038981, -0.140579, -0.129672, 0.367288]], "network.8.bias": [-0.129288, -0.118687, -0.036942, -0.037398, -0.104931, -0.249563], "network.10.weight": [[0.409618, 0.379801, 0.547902, 0.714272, 0.432936, -0.377727], [-0.02177, 0.025547, 0.15578, -0.017091, -0.133572, -0.220669], [-0.517208, -0.236789, -0.589404, -0.23183, 0.01143, -0.113993], [0.13742, -0.334369, -0.118415, -0.126913, 0.379091, 0.177453], [0.135756, -0.060826, -0.425905, -0.284915, 0.292739, -0.390976], [-0.281979, 0.265611, 0.039073, 0.128209, -0.384039, -0.058886]], "network.10.bias": [-0.233966, -0.223724, -0.075889, -0.366383, -0.235674, -0.248651], "network.12.weight": [[-0.446449, -0.368066, 0.135081, 0.278841, 0.046467, -0.308112]], "network.12.bias": [0.005782]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6862818002700806, "train_acc": 0.55, "val_loss": 0.6860656142234802, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6875144243240356, "train_acc": 0.55, "val_loss": 0.6854487657546997, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.683970719575882, "train_acc": 0.55, "val_loss": 0.683481752872467, "val_acc": 0.56}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6809285879135132, "train_acc": 0.55, "val_loss": 0.6679182648658752, "val_acc": 0.56}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6576422452926636, "train_acc": 0.55, "val_loss": 0.6035925149917603, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.597893476486206, "train_acc": 0.485, "val_loss": 0.4559336006641388, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.46509048342704773, "train_acc": 0.485, "val_loss": 0.3955921232700348, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.3967137038707733, "train_acc": 0.955, "val_loss": 0.48697569966316223, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.44677555561065674, "train_acc": 0.875, "val_loss": 0.35909608006477356, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.37187083065509796, "train_acc": 0.915, "val_loss": 0.36000311374664307, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.34802237153053284, "train_acc": 0.925, "val_loss": 0.3499116599559784, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.3300239145755768, "train_acc": 0.91, "val_loss": 0.34553855657577515, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.30575530230998993, "train_acc": 0.935, "val_loss": 0.3347817361354828, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.2929374873638153, "train_acc": 0.935, "val_loss": 0.33420369029045105, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.29689982533454895, "train_acc": 0.925, "val_loss": 0.32580116391181946, "val_acc": 0.86}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6860656142234802, "final_val_loss": 0.6035925149917603, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.4559336006641388, "final_val_loss": 0.32580116391181946, "initial_val_acc": 0.56, "final_val_acc": 0.86, "best_val_acc": 0.88, "best_epoch": 6}, "improvement": 0.31999999999999995, "first_improvement_epoch": 4}}
|
9,646
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.44, "improved_accuracy": 0.9, "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": 8319, "learning_rate": 0.03126234158269102, "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:
{
"network.0.weight": [
[
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-0.162385,
-0.105446,
0.282779,
0.784399
],
[
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0.470144,
-0.325816,
-0.013309
],
[
-0.181143,
-0.25756,
0.146943,
-0.285011,
-0.528887
],
[
0.820967,
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-0.01402,
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-0.241073
],
[
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-0.399275
]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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],
[
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0.15125,
-0.312594,
-0.596342
],
[
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-0.010117,
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0.269128
],
[
-0.432241,
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-0.176037,
-0.443314,
0.048974
],
[
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0.816265
]
],
"network.2.bias": [
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-0.312352
],
"network.4.weight": [
[
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],
[
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],
[
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0.048195
],
[
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],
[
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0.699,
0.1153
]
],
"network.4.bias": [
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0.10635
],
"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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],
[
0.60992,
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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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0.194015
],
[
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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": [
-0.453986
]
}
## Activation Signature
### 0
mean: [-0.244530, 0.574378, -2.034650, 1.635336, 1.208156]
std: [2.506525, 1.198443, 1.443707, 2.308659, 1.598859]
pca: [[0.697380, -0.374406, -0.176241, 0.395844, 0.430963, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.101470, 0.450994, -0.443859, 0.714184, -0.281494, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.046004, 0.576777, 0.621845, 0.218186, 0.480537, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.655738, -0.212664, -0.296988, 0.113136, 0.650984, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.266940, -0.527756, 0.545009, 0.522345, -0.283437, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.852405, 36.795868, 39.845679, 40.031239, 49.478240], [17.721415, 21.093676, 21.896284, 24.135045, 51.693992], [24.848395, 25.506106, 25.757029, 27.923556, 183.118508], [36.174600, 37.336162, 37.953639, 40.533667, 147.180223], [25.939290, 27.289522, 30.646661, 37.598711, 108.734048]]
### 2
mean: [-0.335108, -1.154489, -0.002472, -1.171823, 1.136274]
std: [1.975419, 1.634828, 0.541047, 0.952766, 0.999898]
pca: [[0.710277, -0.348905, 0.223406, 0.515750, -0.240549, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.593950, 0.109426, 0.126046, -0.525164, 0.586144, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.169997, 0.110370, 0.002770, 0.649418, 0.732917, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.150082, 0.897246, 0.298125, 0.158393, -0.241780, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.302169, -0.221493, 0.919411, -0.106640, 0.054284, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.159685, 30.477642, 30.573358, 32.615466, 43.225449], [25.144474, 27.861824, 28.063259, 30.847729, 103.903969], [7.468873, 7.562099, 7.724569, 8.791179, 11.002640], [15.163960, 15.183032, 16.666763, 19.829195, 105.464072], [15.765471, 16.444796, 16.816191, 20.102621, 102.264687]]
### 4
mean: [-0.495316, -0.779212, -1.151739, -1.150624, 0.414448]
std: [0.745484, 1.396555, 0.666401, 0.795986, 0.524701]
pca: [[0.387663, 0.139166, 0.830165, -0.194696, -0.321355, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.725089, 0.509690, -0.255870, 0.281981, 0.263591, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.347347, 0.165747, 0.488720, 0.418422, 0.661781, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.388142, 0.603815, -0.047769, 0.396459, -0.570343, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.229478, -0.573397, 0.065011, 0.741838, -0.252994, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.738197, 11.427481, 15.084644, 16.022262, 44.578425], [21.677349, 21.939638, 26.564360, 28.310418, 70.129092], [8.944990, 9.416472, 12.628632, 14.349727, 103.656507], [11.429377, 12.278427, 14.552856, 17.530400, 103.556186], [7.971666, 8.711680, 9.011388, 10.739256, 37.300364]]
### 6
mean: [-0.259980, 0.808055, 0.352159, 0.694801, 0.437985]
std: [0.702322, 0.840422, 0.844057, 0.058357, 1.113543]
pca: [[-0.395341, 0.450774, 0.037920, -0.028185, 0.798922, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.473463, 0.247240, 0.003814, 0.836234, 0.124110, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.475094, 0.531547, 0.394919, 0.191218, -0.547008, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.023450, -0.431873, 0.871702, 0.078278, 0.216666, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.627115, 0.516352, 0.287615, -0.507175, -0.012560, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.124602, 10.779872, 12.202816, 12.965728, 23.398224], [12.212241, 12.533368, 14.565387, 14.923961, 72.724906], [12.171750, 13.005370, 14.610571, 15.532289, 31.694350], [0.876834, 0.906926, 0.929834, 1.280042, 62.532102], [16.331467, 16.474777, 19.185834, 19.553654, 39.418675]]
### 8
mean: [1.417892, 1.553730, -0.301075, 1.818352, 1.643896]
std: [0.686714, 0.329663, 0.847686, 0.972852, 0.818713]
pca: [[0.404662, 0.192852, 0.280226, 0.795566, -0.295982, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.168447, 0.766911, -0.346252, -0.303643, -0.413985, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.497317, 0.437119, 0.741461, -0.093418, 0.055783, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.573352, -0.265005, 0.498465, -0.513739, -0.297732, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.481474, 0.336682, 0.057892, -0.047131, 0.805764, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.116201, 10.265098, 12.155581, 12.394476, 127.610246], [5.130786, 5.225370, 5.398536, 5.545509, 139.835736], [12.318158, 12.379148, 14.948487, 14.993533, 27.096714], [14.138768, 14.182104, 17.401623, 17.566906, 163.651655], [12.198264, 12.346668, 14.290279, 14.861405, 147.950630]]
### 10
mean: [-0.728556, -0.327639, -0.524440, 4.918370, -1.235298]
std: [0.599632, 0.080222, 0.085734, 1.991777, 0.854580]
pca: [[-0.260211, 0.623330, 0.261598, -0.589136, 0.358099, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.020533, 0.287317, 0.710929, 0.276990, -0.578692, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.007537, -0.371349, 0.587609, 0.269716, 0.666342, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.888079, 0.397918, -0.032258, 0.128744, 0.188047, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.378323, 0.482358, -0.282528, 0.697764, 0.239806, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.621158, 8.741407, 10.495213, 10.806773, 65.570055], [1.151404, 1.279514, 1.327600, 1.371071, 29.487544], [1.276589, 1.356449, 1.358313, 1.762348, 47.199591], [30.550665, 31.189400, 34.394641, 35.862871, 442.653319], [12.378617, 12.479597, 15.017941, 15.260989, 111.176825]]
### 12
mean: [-4.575812]
std: [1.711832]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.239313, 26.289771, 29.469151, 30.916361, 411.823040]]
## 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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[
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0.470144,
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],
[
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0.146943,
-0.285011,
-0.528887
],
[
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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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0.269128
],
[
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],
"network.2.bias": [
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],
[
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],
[
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],
[
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],
"network.4.bias": [
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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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"network.8.bias": [
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],
"network.10.weight": [
[
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[
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"network.12.weight": [
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"network.12.bias": [
-0.453986
]
}
## Activation Signature
### 0
mean: [-0.244530, 0.574378, -2.034650, 1.635336, 1.208156]
std: [2.506525, 1.198443, 1.443707, 2.308659, 1.598859]
pca: [[0.697380, -0.374406, -0.176241, 0.395844, 0.430963, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.101470, 0.450994, -0.443859, 0.714184, -0.281494, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.046004, 0.576777, 0.621845, 0.218186, 0.480537, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.655738, -0.212664, -0.296988, 0.113136, 0.650984, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.266940, -0.527756, 0.545009, 0.522345, -0.283437, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.852405, 36.795868, 39.845679, 40.031239, 49.478240], [17.721415, 21.093676, 21.896284, 24.135045, 51.693992], [24.848395, 25.506106, 25.757029, 27.923556, 183.118508], [36.174600, 37.336162, 37.953639, 40.533667, 147.180223], [25.939290, 27.289522, 30.646661, 37.598711, 108.734048]]
### 2
mean: [-0.335108, -1.154489, -0.002472, -1.171823, 1.136274]
std: [1.975419, 1.634828, 0.541047, 0.952766, 0.999898]
pca: [[0.710277, -0.348905, 0.223406, 0.515750, -0.240549, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.593950, 0.109426, 0.126046, -0.525164, 0.586144, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.169997, 0.110370, 0.002770, 0.649418, 0.732917, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.150082, 0.897246, 0.298125, 0.158393, -0.241780, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.302169, -0.221493, 0.919411, -0.106640, 0.054284, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.159685, 30.477642, 30.573358, 32.615466, 43.225449], [25.144474, 27.861824, 28.063259, 30.847729, 103.903969], [7.468873, 7.562099, 7.724569, 8.791179, 11.002640], [15.163960, 15.183032, 16.666763, 19.829195, 105.464072], [15.765471, 16.444796, 16.816191, 20.102621, 102.264687]]
### 4
mean: [-0.495316, -0.779212, -1.151739, -1.150624, 0.414448]
std: [0.745484, 1.396555, 0.666401, 0.795986, 0.524701]
pca: [[0.387663, 0.139166, 0.830165, -0.194696, -0.321355, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.725089, 0.509690, -0.255870, 0.281981, 0.263591, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.347347, 0.165747, 0.488720, 0.418422, 0.661781, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.388142, 0.603815, -0.047769, 0.396459, -0.570343, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.229478, -0.573397, 0.065011, 0.741838, -0.252994, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.738197, 11.427481, 15.084644, 16.022262, 44.578425], [21.677349, 21.939638, 26.564360, 28.310418, 70.129092], [8.944990, 9.416472, 12.628632, 14.349727, 103.656507], [11.429377, 12.278427, 14.552856, 17.530400, 103.556186], [7.971666, 8.711680, 9.011388, 10.739256, 37.300364]]
### 6
mean: [-0.259980, 0.808055, 0.352159, 0.694801, 0.437985]
std: [0.702322, 0.840422, 0.844057, 0.058357, 1.113543]
pca: [[-0.395341, 0.450774, 0.037920, -0.028185, 0.798922, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.473463, 0.247240, 0.003814, 0.836234, 0.124110, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.475094, 0.531547, 0.394919, 0.191218, -0.547008, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.023450, -0.431873, 0.871702, 0.078278, 0.216666, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.627115, 0.516352, 0.287615, -0.507175, -0.012560, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.124602, 10.779872, 12.202816, 12.965728, 23.398224], [12.212241, 12.533368, 14.565387, 14.923961, 72.724906], [12.171750, 13.005370, 14.610571, 15.532289, 31.694350], [0.876834, 0.906926, 0.929834, 1.280042, 62.532102], [16.331467, 16.474777, 19.185834, 19.553654, 39.418675]]
### 8
mean: [1.417892, 1.553730, -0.301075, 1.818352, 1.643896]
std: [0.686714, 0.329663, 0.847686, 0.972852, 0.818713]
pca: [[0.404662, 0.192852, 0.280226, 0.795566, -0.295982, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.168447, 0.766911, -0.346252, -0.303643, -0.413985, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.497317, 0.437119, 0.741461, -0.093418, 0.055783, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.573352, -0.265005, 0.498465, -0.513739, -0.297732, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.481474, 0.336682, 0.057892, -0.047131, 0.805764, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.116201, 10.265098, 12.155581, 12.394476, 127.610246], [5.130786, 5.225370, 5.398536, 5.545509, 139.835736], [12.318158, 12.379148, 14.948487, 14.993533, 27.096714], [14.138768, 14.182104, 17.401623, 17.566906, 163.651655], [12.198264, 12.346668, 14.290279, 14.861405, 147.950630]]
### 10
mean: [-0.728556, -0.327639, -0.524440, 4.918370, -1.235298]
std: [0.599632, 0.080222, 0.085734, 1.991777, 0.854580]
pca: [[-0.260211, 0.623330, 0.261598, -0.589136, 0.358099, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.020533, 0.287317, 0.710929, 0.276990, -0.578692, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.007537, -0.371349, 0.587609, 0.269716, 0.666342, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.888079, 0.397918, -0.032258, 0.128744, 0.188047, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.378323, 0.482358, -0.282528, 0.697764, 0.239806, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.621158, 8.741407, 10.495213, 10.806773, 65.570055], [1.151404, 1.279514, 1.327600, 1.371071, 29.487544], [1.276589, 1.356449, 1.358313, 1.762348, 47.199591], [30.550665, 31.189400, 34.394641, 35.862871, 442.653319], [12.378617, 12.479597, 15.017941, 15.260989, 111.176825]]
### 12
mean: [-4.575812]
std: [1.711832]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.239313, 26.289771, 29.469151, 30.916361, 411.823040]]
## 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": [[-0.97882, -0.162385, -0.105446, 0.282779, 0.784399], [0.083027, -0.099564, 0.470144, -0.325816, -0.013309], [-0.181143, -0.25756, 0.146943, -0.285011, -0.528887], [0.820967, 0.642425, -0.01402, -0.113485, -0.241073], [0.184501, 0.507944, -0.199472, 0.361863, -0.399275]], "network.0.bias": [-0.084104, 0.385515, -0.383358, 0.013021, 0.186088], "network.2.weight": [[0.745353, -0.262948, 0.209847, -0.359514, -0.480506], [0.387606, 0.035509, 0.15125, -0.312594, -0.596342], [-0.218414, -0.128744, -0.010117, -0.007445, 0.269128], [-0.432241, 0.145933, -0.176037, -0.443314, 0.048974], [0.075733, 0.710386, 0.574693, -0.076941, 0.816265]], "network.2.bias": [0.60798, -0.115021, -0.115128, -0.329321, -0.312352], "network.4.weight": [[0.369224, 0.233171, 0.622379, 0.277202, -0.481746], [0.534195, 0.576636, -0.269145, 0.363487, -0.746101], [-0.482599, -0.085972, 0.399174, 0.824668, 0.048195], [-0.751336, 0.087016, -0.047878, 0.669196, -0.068796], [0.529911, -0.14399, 0.085648, 0.699, 0.1153]], "network.4.bias": [-0.210518, -0.220197, -0.925018, -0.653293, 0.10635], "network.6.weight": [[0.255119, 0.485346, 0.387245, 0.376107, 0.292424], [-0.848271, -0.46591, -0.418568, -0.26223, -0.067717], [0.263737, 0.595237, 0.210769, 0.173524, 0.415293], [0.165581, -0.0685, -0.812192, -0.697967, 0.006751], [-0.939059, -0.797127, -0.869962, -0.273575, 0.060232]], "network.6.bias": [-0.331167, 0.816766, 0.16884, 0.491412, 0.397515], "network.8.weight": [[-0.139879, 0.804206, -0.327429, 0.404297, 0.439234], [-0.183756, 0.875408, 0.259211, 0.020312, 0.715696], [0.60992, -0.748182, 0.319453, 0.395967, -0.182341], [-0.604739, 0.547076, -0.389919, 0.712952, 0.581752], [-0.393169, 0.989327, -0.168639, 0.384376, 0.761564]], "network.8.bias": [0.423403, 0.374562, 0.080996, 0.823503, 0.293928], "network.10.weight": [[-0.186791, 0.339529, 0.513719, -0.151339, -0.259932], [-0.027282, 0.215317, 0.117626, -0.225268, 0.194015], [-0.036978, -0.047009, -0.244896, -0.262489, 0.094911], [0.674817, 0.719561, -0.608087, 0.926848, 0.644795], [0.164083, -0.30848, 0.66284, -0.373393, -0.241642]], "network.10.bias": [-0.282103, -0.509595, -0.055228, 0.160276, 0.050856], "network.12.weight": [[0.600829, 0.445245, 0.323766, -0.798611, 0.30839]], "network.12.bias": [-0.453986]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6839198172092438, "train_acc": 0.59, "val_loss": 0.7188308835029602, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6750998497009277, "train_acc": 0.59, "val_loss": 0.7269497513771057, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6638999283313751, "train_acc": 0.59, "val_loss": 0.716810941696167, "val_acc": 0.42}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6500855982303619, "train_acc": 0.59, "val_loss": 0.6626813411712646, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6026401817798615, "train_acc": 0.645, "val_loss": 0.47000938653945923, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5210050046443939, "train_acc": 0.76, "val_loss": 0.40904831886291504, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.44864867627620697, "train_acc": 0.805, "val_loss": 0.45090073347091675, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4042547047138214, "train_acc": 0.85, "val_loss": 0.4115450382232666, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.35802486538887024, "train_acc": 0.835, "val_loss": 0.3634185791015625, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.36736346781253815, "train_acc": 0.845, "val_loss": 0.33183154463768005, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3676350861787796, "train_acc": 0.84, "val_loss": 0.3298680782318115, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.33151888847351074, "train_acc": 0.85, "val_loss": 0.3350082337856293, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.3360421806573868, "train_acc": 0.86, "val_loss": 0.3100598156452179, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.31393542885780334, "train_acc": 0.84, "val_loss": 0.2845004200935364, "val_acc": 0.9}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7188308835029602, "final_val_loss": 0.6626813411712646, "initial_val_acc": 0.42, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.47000938653945923, "final_val_loss": 0.2845004200935364, "initial_val_acc": 0.84, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 12}, "improvement": 0.46, "first_improvement_epoch": 3}}
|
9,647
|
{"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": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9477, "learning_rate": 0.07266875490642932, "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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"network.6.bias": [
-0.105008,
0.575159,
-0.042152,
-0.232161,
-0.17671,
0.301035
],
"network.8.weight": [
[
0.063889,
0.377866,
-0.428627,
-0.287234,
-0.343578,
0.092918
]
],
"network.8.bias": [
0.009569
]
}
## Activation Signature
### 0
mean: [0.663715, -1.425595, 0.758960, -2.801636, -3.039799, 0.289144]
std: [1.659687, 1.277629, 1.036245, 1.783147, 2.246400, 1.231006]
pca: [[0.180966, 0.753167, -0.041548, -0.399759, -0.195646, -0.447414, 0.000000, 0.000000, 0.000000, 0.000000], [0.262144, -0.096752, 0.674370, -0.472437, -0.263381, 0.417825, 0.000000, 0.000000, 0.000000, 0.000000], [0.102606, 0.307582, -0.549228, -0.004983, -0.255645, 0.726522, 0.000000, 0.000000, 0.000000, 0.000000], [0.585401, 0.012149, 0.137302, 0.646818, -0.448401, -0.137367, 0.000000, 0.000000, 0.000000, 0.000000], [0.735290, -0.251293, -0.296953, -0.279657, 0.476064, -0.056346, 0.000000, 0.000000, 0.000000, 0.000000], [0.068253, 0.515243, 0.367170, 0.346972, 0.631901, 0.274525, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.008668, 27.084498, 27.571562, 27.827493, 59.734331], [19.276202, 20.524634, 21.605807, 22.059564, 128.303535], [16.991021, 17.641504, 17.762695, 19.454155, 68.306421], [25.779827, 27.519114, 35.614030, 36.523611, 252.147289], [38.441199, 38.880250, 42.571314, 44.471146, 273.581902], [17.435540, 20.398398, 20.787359, 26.022993, 30.067817]]
### 2
mean: [0.442144, -0.676844, -0.475002, 1.488379, -0.481729, 1.245084]
std: [0.779041, 0.214678, 0.391735, 1.067090, 0.251687, 1.060991]
pca: [[0.445720, -0.373238, 0.307769, -0.284852, 0.656648, -0.234474, 0.000000, 0.000000, 0.000000, 0.000000], [-0.086117, 0.285983, 0.595634, 0.706689, 0.205697, -0.119575, 0.000000, 0.000000, 0.000000, 0.000000], [-0.162158, 0.562847, -0.274274, -0.136133, 0.639628, 0.392461, 0.000000, 0.000000, 0.000000, 0.000000], [0.613228, 0.475178, -0.365249, 0.134182, -0.091120, -0.488306, 0.000000, 0.000000, 0.000000, 0.000000], [0.027027, 0.484821, 0.571162, -0.597930, -0.281723, -0.033233, 0.000000, 0.000000, 0.000000, 0.000000], [0.625175, -0.035571, 0.125059, 0.159351, -0.172359, 0.732906, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.995972, 14.512932, 15.310547, 16.023060, 39.792919], [3.071892, 3.082924, 3.666122, 5.073821, 60.915956], [5.953850, 6.576595, 6.907890, 7.985520, 42.750214], [17.217711, 17.740141, 20.666146, 22.586846, 133.954075], [3.605533, 3.745212, 3.755659, 4.176762, 43.355629], [18.329918, 19.922939, 20.725901, 21.936656, 112.057523]]
### 4
mean: [0.912628, 0.362172, -0.524151, 0.572807, 0.032766, 0.890848]
std: [1.117868, 0.202219, 0.197765, 0.858938, 0.424791, 0.994211]
pca: [[0.624497, -0.323774, -0.439111, -0.122412, -0.159628, -0.521431, 0.000000, 0.000000, 0.000000, 0.000000], [0.097783, -0.487089, -0.009475, -0.159936, 0.826131, 0.212180, 0.000000, 0.000000, 0.000000, 0.000000], [-0.110428, 0.064225, -0.023542, 0.824348, 0.324603, -0.445207, 0.000000, 0.000000, 0.000000, 0.000000], [0.480526, 0.101804, 0.843701, -0.050895, 0.055146, -0.203145, 0.000000, 0.000000, 0.000000, 0.000000], [0.218537, 0.799918, -0.279366, -0.241535, 0.413689, -0.069642, 0.000000, 0.000000, 0.000000, 0.000000], [0.556403, 0.059643, -0.129076, 0.467928, -0.111709, 0.662392, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.148305, 20.017515, 21.934968, 23.475097, 82.136532], [3.178233, 3.189543, 3.470395, 4.085068, 32.595443], [3.391558, 3.553917, 3.893049, 4.159151, 47.173562], [14.850094, 16.553020, 16.904930, 17.767927, 51.552662], [6.306389, 7.014398, 7.587090, 7.623390, 9.440341], [17.165875, 18.794593, 19.525194, 20.629610, 80.176297]]
### 6
mean: [-0.646716, 0.319553, 1.051756, -0.800642, 0.423775, 0.795256]
std: [0.617197, 0.336132, 1.186892, 0.670531, 0.728848, 0.411388]
pca: [[-0.353966, -0.011309, 0.170629, -0.230117, -0.124653, 0.881461, 0.000000, 0.000000, 0.000000, 0.000000], [-0.192422, 0.082118, 0.814956, -0.418909, 0.015896, -0.341086, 0.000000, 0.000000, 0.000000, 0.000000], [0.680654, 0.135050, 0.147009, -0.204811, 0.613645, 0.279915, 0.000000, 0.000000, 0.000000, 0.000000], [-0.383603, 0.425501, 0.202640, 0.635109, 0.474695, 0.045123, 0.000000, 0.000000, 0.000000, 0.000000], [0.417607, -0.268644, 0.491892, 0.567024, -0.405529, 0.159713, 0.000000, 0.000000, 0.000000, 0.000000], [0.229882, 0.849511, -0.045822, -0.068809, -0.466755, 0.028112, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.722097, 12.205744, 12.569719, 12.584496, 58.204411], [5.860259, 6.663072, 6.690864, 7.081742, 28.759729], [20.643479, 23.417137, 23.926022, 24.331375, 94.658049], [11.900578, 13.017618, 13.453202, 14.216419, 72.057738], [12.683063, 14.321187, 14.739256, 15.188640, 38.139734], [6.605198, 6.968608, 8.232980, 8.567834, 71.573034]]
### 8
mean: [-0.405253]
std: [0.780700]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.622076, 15.418799, 15.444421, 16.297192, 36.472750]]
## 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": [
[
-0.640419,
-0.286797,
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0.287686,
0.314994
],
[
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[
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],
[
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-0.071072,
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],
[
-0.302253,
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],
[
-0.256188,
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0.412572
]
],
"network.0.bias": [
0.228979,
0.059585,
0.430104,
-0.330642,
-0.003509,
0.050137
],
"network.2.weight": [
[
0.338809,
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0.471196
],
[
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-0.315935,
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-0.07032,
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],
[
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],
[
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0.01095,
0.24885,
0.255527
],
[
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0.174674,
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],
[
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0.495,
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0.434342
]
],
"network.2.bias": [
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0.221518,
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0.019031
],
"network.4.weight": [
[
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-0.039143,
0.473913,
0.119485,
0.547087
],
[
-0.19148,
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0.201658,
0.279678,
0.053721,
0.006068
],
[
-0.022463,
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-0.224395,
-0.097316,
-0.389862,
-0.076235
],
[
0.397827,
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-0.149129,
0.350131,
0.231279,
0.221335
],
[
0.442314,
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0.138204,
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0.192211,
0.35994
],
[
0.263917,
0.083882,
-0.204711,
0.29746,
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0.483318
]
],
"network.4.bias": [
-0.508172,
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-0.271928,
-0.441477,
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-0.297878
],
"network.6.weight": [
[
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0.381718,
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],
[
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0.112083,
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[
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[
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0.021159
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[
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0.14567,
0.191188,
0.285458
],
[
-0.074148,
0.441475,
-0.005201,
0.051394,
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0.457898
]
],
"network.6.bias": [
-0.105008,
0.575159,
-0.042152,
-0.232161,
-0.17671,
0.301035
],
"network.8.weight": [
[
0.063889,
0.377866,
-0.428627,
-0.287234,
-0.343578,
0.092918
]
],
"network.8.bias": [
0.009569
]
}
## Activation Signature
### 0
mean: [0.663715, -1.425595, 0.758960, -2.801636, -3.039799, 0.289144]
std: [1.659687, 1.277629, 1.036245, 1.783147, 2.246400, 1.231006]
pca: [[0.180966, 0.753167, -0.041548, -0.399759, -0.195646, -0.447414, 0.000000, 0.000000, 0.000000, 0.000000], [0.262144, -0.096752, 0.674370, -0.472437, -0.263381, 0.417825, 0.000000, 0.000000, 0.000000, 0.000000], [0.102606, 0.307582, -0.549228, -0.004983, -0.255645, 0.726522, 0.000000, 0.000000, 0.000000, 0.000000], [0.585401, 0.012149, 0.137302, 0.646818, -0.448401, -0.137367, 0.000000, 0.000000, 0.000000, 0.000000], [0.735290, -0.251293, -0.296953, -0.279657, 0.476064, -0.056346, 0.000000, 0.000000, 0.000000, 0.000000], [0.068253, 0.515243, 0.367170, 0.346972, 0.631901, 0.274525, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.008668, 27.084498, 27.571562, 27.827493, 59.734331], [19.276202, 20.524634, 21.605807, 22.059564, 128.303535], [16.991021, 17.641504, 17.762695, 19.454155, 68.306421], [25.779827, 27.519114, 35.614030, 36.523611, 252.147289], [38.441199, 38.880250, 42.571314, 44.471146, 273.581902], [17.435540, 20.398398, 20.787359, 26.022993, 30.067817]]
### 2
mean: [0.442144, -0.676844, -0.475002, 1.488379, -0.481729, 1.245084]
std: [0.779041, 0.214678, 0.391735, 1.067090, 0.251687, 1.060991]
pca: [[0.445720, -0.373238, 0.307769, -0.284852, 0.656648, -0.234474, 0.000000, 0.000000, 0.000000, 0.000000], [-0.086117, 0.285983, 0.595634, 0.706689, 0.205697, -0.119575, 0.000000, 0.000000, 0.000000, 0.000000], [-0.162158, 0.562847, -0.274274, -0.136133, 0.639628, 0.392461, 0.000000, 0.000000, 0.000000, 0.000000], [0.613228, 0.475178, -0.365249, 0.134182, -0.091120, -0.488306, 0.000000, 0.000000, 0.000000, 0.000000], [0.027027, 0.484821, 0.571162, -0.597930, -0.281723, -0.033233, 0.000000, 0.000000, 0.000000, 0.000000], [0.625175, -0.035571, 0.125059, 0.159351, -0.172359, 0.732906, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.995972, 14.512932, 15.310547, 16.023060, 39.792919], [3.071892, 3.082924, 3.666122, 5.073821, 60.915956], [5.953850, 6.576595, 6.907890, 7.985520, 42.750214], [17.217711, 17.740141, 20.666146, 22.586846, 133.954075], [3.605533, 3.745212, 3.755659, 4.176762, 43.355629], [18.329918, 19.922939, 20.725901, 21.936656, 112.057523]]
### 4
mean: [0.912628, 0.362172, -0.524151, 0.572807, 0.032766, 0.890848]
std: [1.117868, 0.202219, 0.197765, 0.858938, 0.424791, 0.994211]
pca: [[0.624497, -0.323774, -0.439111, -0.122412, -0.159628, -0.521431, 0.000000, 0.000000, 0.000000, 0.000000], [0.097783, -0.487089, -0.009475, -0.159936, 0.826131, 0.212180, 0.000000, 0.000000, 0.000000, 0.000000], [-0.110428, 0.064225, -0.023542, 0.824348, 0.324603, -0.445207, 0.000000, 0.000000, 0.000000, 0.000000], [0.480526, 0.101804, 0.843701, -0.050895, 0.055146, -0.203145, 0.000000, 0.000000, 0.000000, 0.000000], [0.218537, 0.799918, -0.279366, -0.241535, 0.413689, -0.069642, 0.000000, 0.000000, 0.000000, 0.000000], [0.556403, 0.059643, -0.129076, 0.467928, -0.111709, 0.662392, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.148305, 20.017515, 21.934968, 23.475097, 82.136532], [3.178233, 3.189543, 3.470395, 4.085068, 32.595443], [3.391558, 3.553917, 3.893049, 4.159151, 47.173562], [14.850094, 16.553020, 16.904930, 17.767927, 51.552662], [6.306389, 7.014398, 7.587090, 7.623390, 9.440341], [17.165875, 18.794593, 19.525194, 20.629610, 80.176297]]
### 6
mean: [-0.646716, 0.319553, 1.051756, -0.800642, 0.423775, 0.795256]
std: [0.617197, 0.336132, 1.186892, 0.670531, 0.728848, 0.411388]
pca: [[-0.353966, -0.011309, 0.170629, -0.230117, -0.124653, 0.881461, 0.000000, 0.000000, 0.000000, 0.000000], [-0.192422, 0.082118, 0.814956, -0.418909, 0.015896, -0.341086, 0.000000, 0.000000, 0.000000, 0.000000], [0.680654, 0.135050, 0.147009, -0.204811, 0.613645, 0.279915, 0.000000, 0.000000, 0.000000, 0.000000], [-0.383603, 0.425501, 0.202640, 0.635109, 0.474695, 0.045123, 0.000000, 0.000000, 0.000000, 0.000000], [0.417607, -0.268644, 0.491892, 0.567024, -0.405529, 0.159713, 0.000000, 0.000000, 0.000000, 0.000000], [0.229882, 0.849511, -0.045822, -0.068809, -0.466755, 0.028112, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.722097, 12.205744, 12.569719, 12.584496, 58.204411], [5.860259, 6.663072, 6.690864, 7.081742, 28.759729], [20.643479, 23.417137, 23.926022, 24.331375, 94.658049], [11.900578, 13.017618, 13.453202, 14.216419, 72.057738], [12.683063, 14.321187, 14.739256, 15.188640, 38.139734], [6.605198, 6.968608, 8.232980, 8.567834, 71.573034]]
### 8
mean: [-0.405253]
std: [0.780700]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.622076, 15.418799, 15.444421, 16.297192, 36.472750]]
## 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": 0.6637148261070251, "std": 1.6596871614456177, "pca": [0.180966317653656, 0.7531672120094299, -0.041547682136297226, -0.3997590243816376, -0.1956462860107422, -0.4474140703678131, 0.0, 0.0, 0.0, 0.0], "fourier": [27.008668056185723, 27.084498487248936, 27.5715619643703, 27.82749299891489, 59.734331250190735]}, "1": {"mean": -1.4255949258804321, "std": 1.2776292562484741, "pca": [0.2621437907218933, -0.09675245732069016, 0.674370288848877, -0.47243744134902954, -0.26338136196136475, 0.4178246259689331, 0.0, 0.0, 0.0, 0.0], "fourier": [19.27620160323336, 20.524633520564606, 21.60580742231307, 22.059564209410816, 128.30353517085314]}, "2": {"mean": 0.7589601874351501, "std": 1.0362447500228882, "pca": [0.10260564833879471, 0.30758240818977356, -0.5492281317710876, -0.004982910118997097, -0.2556447982788086, 0.7265222072601318, 0.0, 0.0, 0.0, 0.0], "fourier": [16.99102115801148, 17.641503870942397, 17.762694546956336, 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"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": [[-0.640419, -0.286797, 0.358512, 0.287686, 0.314994], [-0.039691, -0.205314, -0.50626, -0.189508, 0.32615], [-0.375233, -0.058236, 0.347551, 0.21558, -0.232188], [-0.407415, -0.435678, -0.071072, -0.371696, -0.182064], [-0.302253, -0.554651, -0.384276, -0.036812, -0.622545], [-0.256188, -0.332654, 0.320598, -0.006782, 0.412572]], "network.0.bias": [0.228979, 0.059585, 0.430104, -0.330642, -0.003509, 0.050137], "network.2.weight": [[0.338809, 0.053637, 0.202541, -0.071531, -0.383673, 0.471196], [0.069291, -0.315935, -0.068765, -0.07032, -0.315723, -0.274985], [-0.166118, -0.185741, 0.132347, 0.230482, -0.034038, -0.308221], [0.406366, 0.020941, 0.757033, 0.01095, 0.24885, 0.255527], [0.037354, -0.566757, 0.174674, -0.351097, -0.373546, -0.150657], [0.481101, 0.053294, 0.495, -0.235002, -0.067973, 0.434342]], "network.2.bias": [-0.396327, -0.496108, -0.213296, 0.221518, -0.55006, 0.019031], "network.4.weight": [[0.06259, -0.012224, -0.039143, 0.473913, 0.119485, 0.547087], [-0.19148, -0.136617, 0.201658, 0.279678, 0.053721, 0.006068], [-0.022463, -0.376871, -0.224395, -0.097316, -0.389862, -0.076235], [0.397827, -0.041093, -0.149129, 0.350131, 0.231279, 0.221335], [0.442314, -0.202319, 0.138204, -0.265725, 0.192211, 0.35994], [0.263917, 0.083882, -0.204711, 0.29746, -0.102374, 0.483318]], "network.4.bias": [-0.508172, 0.042996, -0.271928, -0.441477, -0.261766, -0.297878], "network.6.weight": [[-0.322804, 0.063469, 0.381718, -0.215922, -0.115633, -0.09289], [-0.269485, 0.112083, 0.315828, -0.346564, -0.044237, 0.219712], [0.553519, 0.070365, -0.379116, 0.230503, 0.294455, 0.347572], [-0.263024, -0.010435, -0.075589, -0.3831, -0.405348, 0.021159], [0.324105, -0.307557, -0.046759, 0.14567, 0.191188, 0.285458], [-0.074148, 0.441475, -0.005201, 0.051394, -0.269734, 0.457898]], "network.6.bias": [-0.105008, 0.575159, -0.042152, -0.232161, -0.17671, 0.301035], "network.8.weight": [[0.063889, 0.377866, -0.428627, -0.287234, -0.343578, 0.092918]], "network.8.bias": [0.009569]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6694816052913666, "train_acc": 0.58, "val_loss": 0.6016510128974915, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5637648701667786, "train_acc": 0.58, "val_loss": 0.5511264204978943, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5138523876667023, "train_acc": 0.63, "val_loss": 0.4101575016975403, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.40262332558631897, "train_acc": 0.905, "val_loss": 0.4388795793056488, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3407711386680603, "train_acc": 0.87, "val_loss": 0.28148308396339417, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.26072171330451965, "train_acc": 0.925, "val_loss": 0.2140151560306549, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.20730961114168167, "train_acc": 0.925, "val_loss": 0.1722102016210556, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.22013217955827713, "train_acc": 0.93, "val_loss": 0.16587243974208832, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2184302657842636, "train_acc": 0.93, "val_loss": 0.1666502207517624, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2023654207587242, "train_acc": 0.935, "val_loss": 0.14821642637252808, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.21043132990598679, "train_acc": 0.94, "val_loss": 0.1529332995414734, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.2032984420657158, "train_acc": 0.94, "val_loss": 0.18230575323104858, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6016510128974915, "final_val_loss": 0.5511264204978943, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.4101575016975403, "final_val_loss": 0.18230575323104858, "initial_val_acc": 0.94, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 2}, "improvement": 0.45999999999999996, "first_improvement_epoch": 1}}
|
9,648
|
{"target_pattern": "decreasing_pairs", "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": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7144, "learning_rate": 0.03231805071888789, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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-0.016226,
0.142139,
0.196407,
-0.127406
],
[
0.580176,
-0.135363,
0.28077,
0.166154,
-0.064062,
-0.261648
],
[
0.231046,
-0.133038,
0.503137,
-0.01043,
-0.317224,
0.222208
],
[
0.234544,
-0.116482,
-0.061478,
0.138264,
-0.292596,
0.246319
],
[
0.300449,
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0.21865,
0.539608,
-0.368414,
-0.212671
],
[
-0.605347,
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-0.01076,
0.382478,
0.583712,
0.077236
]
],
"network.6.bias": [
-0.234229,
0.286446,
0.440497,
-0.056577,
0.362428,
0.216865
],
"network.8.weight": [
[
0.517107,
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0.220483,
-0.055064,
0.176918,
0.274974
],
[
-0.174009,
0.510321,
0.417459,
0.085362,
0.400298,
-0.203891
],
[
-0.008435,
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0.126714,
0.450213
],
[
0.223475,
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],
[
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0.30742,
0.050228,
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0.587643,
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],
[
0.031818,
0.041408,
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]
],
"network.8.bias": [
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0.151145,
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],
"network.10.weight": [
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],
"network.10.bias": [
-0.151348
]
}
## Activation Signature
### 0
mean: [1.011955, 2.264877, -1.286360, 0.744489, 1.275753, -1.569848]
std: [1.374480, 1.847651, 0.698427, 1.805424, 0.989508, 0.963048]
pca: [[0.046272, 0.738033, 0.396324, -0.065813, 0.455128, 0.290897, 0.000000, 0.000000, 0.000000, 0.000000], [0.717607, 0.105124, -0.515829, -0.273905, -0.063306, 0.358996, 0.000000, 0.000000, 0.000000, 0.000000], [-0.185337, -0.163084, 0.343668, -0.102929, -0.506499, 0.744185, 0.000000, 0.000000, 0.000000, 0.000000], [0.612600, -0.435696, 0.587351, 0.220885, 0.196562, -0.049823, 0.000000, 0.000000, 0.000000, 0.000000], [0.147493, 0.327848, -0.111929, 0.856473, -0.350845, 0.039940, 0.000000, 0.000000, 0.000000, 0.000000], [-0.226972, -0.346907, -0.318168, 0.357372, 0.608754, 0.478134, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.100509, 21.104080, 22.372870, 24.140450, 91.075933], [28.601947, 30.391840, 33.358472, 39.006027, 203.838951], [10.123780, 12.744435, 13.175709, 13.781748, 115.772430], [30.060286, 30.589726, 31.614121, 33.906550, 67.004037], [15.104948, 15.184759, 15.420134, 17.514007, 114.817811], [14.395878, 15.344721, 15.981779, 19.882312, 141.286338]]
### 2
mean: [1.183702, 1.300022, 1.866606, -1.206601, 1.504026, 0.479802]
std: [1.222667, 1.068165, 1.163484, 0.896435, 1.148901, 0.734916]
pca: [[-0.317161, 0.673134, 0.159779, 0.381779, 0.507607, 0.131719, 0.000000, 0.000000, 0.000000, 0.000000], [0.529601, -0.021050, 0.035586, -0.484999, 0.646280, 0.254777, 0.000000, 0.000000, 0.000000, 0.000000], [0.397368, 0.530620, 0.545899, -0.212155, -0.409898, -0.222507, 0.000000, 0.000000, 0.000000, 0.000000], [0.167567, -0.487790, 0.683072, 0.490126, 0.150410, 0.067445, 0.000000, 0.000000, 0.000000, 0.000000], [0.560036, 0.083332, -0.406800, 0.487682, 0.132603, -0.508440, 0.000000, 0.000000, 0.000000, 0.000000], [0.345414, 0.141445, -0.207667, 0.309764, -0.341225, 0.777926, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.993570, 20.251390, 21.155791, 22.311972, 106.533139], [14.705054, 14.821990, 17.212420, 18.667816, 117.002016], [16.785340, 17.202898, 19.134436, 22.052997, 167.994495], [16.183468, 16.547122, 16.973533, 17.069965, 108.594062], [17.945855, 18.197553, 18.558433, 18.674224, 135.362337], [10.836093, 11.529773, 11.581823, 11.974809, 43.182162]]
### 4
mean: [0.066535, 1.520298, -0.127885, 2.368049, 2.180412, -0.836153]
std: [0.926250, 1.112185, 0.627652, 1.596483, 1.858963, 0.613316]
pca: [[-0.266009, 0.616047, -0.014350, -0.069423, 0.636281, 0.373961, 0.000000, 0.000000, 0.000000, 0.000000], [0.382359, -0.263806, -0.253750, 0.435492, 0.029472, 0.727528, 0.000000, 0.000000, 0.000000, 0.000000], [-0.195440, 0.319900, -0.429873, 0.728790, -0.108216, -0.363084, 0.000000, 0.000000, 0.000000, 0.000000], [0.539161, 0.501099, 0.599828, 0.235406, -0.205840, -0.025022, 0.000000, 0.000000, 0.000000, 0.000000], [0.653469, -0.024468, -0.350329, -0.147392, 0.512117, -0.407016, 0.000000, 0.000000, 0.000000, 0.000000], [-0.164710, -0.443686, 0.517775, 0.444130, 0.527194, -0.180936, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.415259, 14.260376, 15.533519, 16.387648, 19.060863], [16.183504, 16.345082, 16.420924, 20.043592, 136.826861], [9.514595, 9.836076, 10.328620, 11.509688, 13.322643], [24.552402, 24.662387, 24.774065, 25.163585, 213.124417], [26.701630, 27.382047, 29.328564, 30.029389, 196.237080], [9.054591, 9.430051, 9.862905, 11.588379, 75.253739]]
### 6
mean: [-0.029522, 0.542141, -0.385297, -0.508063, 0.778827, 2.723664]
std: [0.229306, 0.564284, 0.974099, 0.556503, 0.474771, 2.346923]
pca: [[0.067210, 0.214037, -0.278180, 0.677565, 0.625335, -0.148826, 0.000000, 0.000000, 0.000000, 0.000000], [-0.138119, 0.642276, 0.690934, 0.215563, -0.085244, 0.193084, 0.000000, 0.000000, 0.000000, 0.000000], [-0.368137, 0.162875, 0.086175, -0.616216, 0.657663, -0.135193, 0.000000, 0.000000, 0.000000, 0.000000], [-0.207934, 0.149935, -0.407556, -0.040480, 0.041721, 0.874530, 0.000000, 0.000000, 0.000000, 0.000000], [-0.063911, 0.662014, -0.520308, -0.163998, -0.359548, -0.361612, 0.000000, 0.000000, 0.000000, 0.000000], [0.890820, 0.233236, 0.031267, -0.293568, 0.195330, 0.163484, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.457610, 3.555724, 3.598652, 3.730865, 3.935461], [10.271950, 10.376508, 10.453855, 11.102881, 48.792650], [14.155023, 14.852548, 15.215049, 18.200010, 34.676760], [7.655478, 8.516485, 8.972844, 10.860407, 45.725666], [7.556121, 7.690515, 8.720287, 9.357475, 70.094433], [32.608959, 34.997453, 35.362039, 40.172016, 245.129728]]
### 8
mean: [0.413050, -0.091636, 1.511946, -0.392614, -0.654371, 0.600503]
std: [0.753251, 0.980597, 1.202106, 0.206213, 1.365176, 0.901782]
pca: [[-0.312153, 0.421136, -0.137973, 0.629033, 0.499634, -0.246682, 0.000000, 0.000000, 0.000000, 0.000000], [0.398745, 0.714608, 0.015318, -0.114461, 0.070892, 0.558549, 0.000000, 0.000000, 0.000000, 0.000000], [-0.505582, 0.446061, 0.491233, -0.107666, -0.509806, -0.180589, 0.000000, 0.000000, 0.000000, 0.000000], [-0.064824, -0.308150, 0.383057, 0.622998, -0.173136, 0.579661, 0.000000, 0.000000, 0.000000, 0.000000], [0.580662, 0.001061, 0.653802, 0.113991, 0.184687, -0.433901, 0.000000, 0.000000, 0.000000, 0.000000], [-0.382856, -0.134362, 0.406484, -0.422498, 0.649117, 0.265107, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.447684, 11.124974, 11.536612, 13.337764, 37.174496], [14.939543, 17.413610, 17.522262, 18.501521, 19.592575], [17.109800, 17.873176, 18.546146, 21.280655, 136.075181], [3.367716, 3.764931, 4.106267, 4.464623, 35.335299], [19.641421, 21.458463, 22.159235, 26.930656, 58.893359], [14.013745, 14.396357, 16.107650, 17.135974, 54.045300]]
### 10
mean: [-1.085903]
std: [1.423318]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.701608, 23.036387, 25.479846, 27.285820, 97.731244]]
## 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.037785,
0.135089,
-0.119529,
0.596597,
-0.184114
],
[
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0.010715,
0.510772
],
[
0.138996,
-0.144127,
-0.107026,
-0.064645,
-0.294808
],
[
0.72643,
0.322205,
-0.06696,
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0.188539
],
[
0.108385,
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0.377311,
0.283142
],
[
-0.119986,
-0.176933,
-0.137892,
-0.319796,
0.183357
]
],
"network.0.bias": [
0.010203,
-0.311862,
-0.470913,
-0.471345,
0.424047,
-0.350434
],
"network.2.weight": [
[
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],
[
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0.622085,
-0.299279
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[
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0.116911
],
[
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0.43288
],
[
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-0.159852
],
[
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0.062295
]
],
"network.2.bias": [
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0.310809,
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0.627372,
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],
"network.4.weight": [
[
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0.169906,
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],
[
-0.359009,
0.112585,
0.277553,
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0.494302,
0.002144
],
[
-0.013463,
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0.415867,
-0.573719,
-0.121629,
-0.512609
],
[
0.16812,
0.571132,
0.350809,
-0.501316,
0.376999,
0.524382
],
[
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0.518217,
0.516901,
-0.438111,
0.567195,
0.143273
],
[
0.111643,
0.053029,
-0.625345,
-0.031031,
0.208736,
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]
],
"network.4.bias": [
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0.500562,
0.188388,
-0.014475,
0.006836,
-0.147024
],
"network.6.weight": [
[
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-0.016226,
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-0.127406
],
[
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0.28077,
0.166154,
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],
[
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0.503137,
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0.222208
],
[
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0.246319
],
[
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0.21865,
0.539608,
-0.368414,
-0.212671
],
[
-0.605347,
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-0.01076,
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0.583712,
0.077236
]
],
"network.6.bias": [
-0.234229,
0.286446,
0.440497,
-0.056577,
0.362428,
0.216865
],
"network.8.weight": [
[
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-0.462853,
0.220483,
-0.055064,
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0.274974
],
[
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0.085362,
0.400298,
-0.203891
],
[
-0.008435,
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0.126714,
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],
[
0.223475,
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[
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],
[
0.031818,
0.041408,
-0.532671,
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]
],
"network.8.bias": [
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-0.055256,
0.26148,
-0.275575,
0.151145,
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],
"network.10.weight": [
[
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-0.536892,
-0.121079,
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-0.41151
]
],
"network.10.bias": [
-0.151348
]
}
## Activation Signature
### 0
mean: [1.011955, 2.264877, -1.286360, 0.744489, 1.275753, -1.569848]
std: [1.374480, 1.847651, 0.698427, 1.805424, 0.989508, 0.963048]
pca: [[0.046272, 0.738033, 0.396324, -0.065813, 0.455128, 0.290897, 0.000000, 0.000000, 0.000000, 0.000000], [0.717607, 0.105124, -0.515829, -0.273905, -0.063306, 0.358996, 0.000000, 0.000000, 0.000000, 0.000000], [-0.185337, -0.163084, 0.343668, -0.102929, -0.506499, 0.744185, 0.000000, 0.000000, 0.000000, 0.000000], [0.612600, -0.435696, 0.587351, 0.220885, 0.196562, -0.049823, 0.000000, 0.000000, 0.000000, 0.000000], [0.147493, 0.327848, -0.111929, 0.856473, -0.350845, 0.039940, 0.000000, 0.000000, 0.000000, 0.000000], [-0.226972, -0.346907, -0.318168, 0.357372, 0.608754, 0.478134, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.100509, 21.104080, 22.372870, 24.140450, 91.075933], [28.601947, 30.391840, 33.358472, 39.006027, 203.838951], [10.123780, 12.744435, 13.175709, 13.781748, 115.772430], [30.060286, 30.589726, 31.614121, 33.906550, 67.004037], [15.104948, 15.184759, 15.420134, 17.514007, 114.817811], [14.395878, 15.344721, 15.981779, 19.882312, 141.286338]]
### 2
mean: [1.183702, 1.300022, 1.866606, -1.206601, 1.504026, 0.479802]
std: [1.222667, 1.068165, 1.163484, 0.896435, 1.148901, 0.734916]
pca: [[-0.317161, 0.673134, 0.159779, 0.381779, 0.507607, 0.131719, 0.000000, 0.000000, 0.000000, 0.000000], [0.529601, -0.021050, 0.035586, -0.484999, 0.646280, 0.254777, 0.000000, 0.000000, 0.000000, 0.000000], [0.397368, 0.530620, 0.545899, -0.212155, -0.409898, -0.222507, 0.000000, 0.000000, 0.000000, 0.000000], [0.167567, -0.487790, 0.683072, 0.490126, 0.150410, 0.067445, 0.000000, 0.000000, 0.000000, 0.000000], [0.560036, 0.083332, -0.406800, 0.487682, 0.132603, -0.508440, 0.000000, 0.000000, 0.000000, 0.000000], [0.345414, 0.141445, -0.207667, 0.309764, -0.341225, 0.777926, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.993570, 20.251390, 21.155791, 22.311972, 106.533139], [14.705054, 14.821990, 17.212420, 18.667816, 117.002016], [16.785340, 17.202898, 19.134436, 22.052997, 167.994495], [16.183468, 16.547122, 16.973533, 17.069965, 108.594062], [17.945855, 18.197553, 18.558433, 18.674224, 135.362337], [10.836093, 11.529773, 11.581823, 11.974809, 43.182162]]
### 4
mean: [0.066535, 1.520298, -0.127885, 2.368049, 2.180412, -0.836153]
std: [0.926250, 1.112185, 0.627652, 1.596483, 1.858963, 0.613316]
pca: [[-0.266009, 0.616047, -0.014350, -0.069423, 0.636281, 0.373961, 0.000000, 0.000000, 0.000000, 0.000000], [0.382359, -0.263806, -0.253750, 0.435492, 0.029472, 0.727528, 0.000000, 0.000000, 0.000000, 0.000000], [-0.195440, 0.319900, -0.429873, 0.728790, -0.108216, -0.363084, 0.000000, 0.000000, 0.000000, 0.000000], [0.539161, 0.501099, 0.599828, 0.235406, -0.205840, -0.025022, 0.000000, 0.000000, 0.000000, 0.000000], [0.653469, -0.024468, -0.350329, -0.147392, 0.512117, -0.407016, 0.000000, 0.000000, 0.000000, 0.000000], [-0.164710, -0.443686, 0.517775, 0.444130, 0.527194, -0.180936, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.415259, 14.260376, 15.533519, 16.387648, 19.060863], [16.183504, 16.345082, 16.420924, 20.043592, 136.826861], [9.514595, 9.836076, 10.328620, 11.509688, 13.322643], [24.552402, 24.662387, 24.774065, 25.163585, 213.124417], [26.701630, 27.382047, 29.328564, 30.029389, 196.237080], [9.054591, 9.430051, 9.862905, 11.588379, 75.253739]]
### 6
mean: [-0.029522, 0.542141, -0.385297, -0.508063, 0.778827, 2.723664]
std: [0.229306, 0.564284, 0.974099, 0.556503, 0.474771, 2.346923]
pca: [[0.067210, 0.214037, -0.278180, 0.677565, 0.625335, -0.148826, 0.000000, 0.000000, 0.000000, 0.000000], [-0.138119, 0.642276, 0.690934, 0.215563, -0.085244, 0.193084, 0.000000, 0.000000, 0.000000, 0.000000], [-0.368137, 0.162875, 0.086175, -0.616216, 0.657663, -0.135193, 0.000000, 0.000000, 0.000000, 0.000000], [-0.207934, 0.149935, -0.407556, -0.040480, 0.041721, 0.874530, 0.000000, 0.000000, 0.000000, 0.000000], [-0.063911, 0.662014, -0.520308, -0.163998, -0.359548, -0.361612, 0.000000, 0.000000, 0.000000, 0.000000], [0.890820, 0.233236, 0.031267, -0.293568, 0.195330, 0.163484, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.457610, 3.555724, 3.598652, 3.730865, 3.935461], [10.271950, 10.376508, 10.453855, 11.102881, 48.792650], [14.155023, 14.852548, 15.215049, 18.200010, 34.676760], [7.655478, 8.516485, 8.972844, 10.860407, 45.725666], [7.556121, 7.690515, 8.720287, 9.357475, 70.094433], [32.608959, 34.997453, 35.362039, 40.172016, 245.129728]]
### 8
mean: [0.413050, -0.091636, 1.511946, -0.392614, -0.654371, 0.600503]
std: [0.753251, 0.980597, 1.202106, 0.206213, 1.365176, 0.901782]
pca: [[-0.312153, 0.421136, -0.137973, 0.629033, 0.499634, -0.246682, 0.000000, 0.000000, 0.000000, 0.000000], [0.398745, 0.714608, 0.015318, -0.114461, 0.070892, 0.558549, 0.000000, 0.000000, 0.000000, 0.000000], [-0.505582, 0.446061, 0.491233, -0.107666, -0.509806, -0.180589, 0.000000, 0.000000, 0.000000, 0.000000], [-0.064824, -0.308150, 0.383057, 0.622998, -0.173136, 0.579661, 0.000000, 0.000000, 0.000000, 0.000000], [0.580662, 0.001061, 0.653802, 0.113991, 0.184687, -0.433901, 0.000000, 0.000000, 0.000000, 0.000000], [-0.382856, -0.134362, 0.406484, -0.422498, 0.649117, 0.265107, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.447684, 11.124974, 11.536612, 13.337764, 37.174496], [14.939543, 17.413610, 17.522262, 18.501521, 19.592575], [17.109800, 17.873176, 18.546146, 21.280655, 136.075181], [3.367716, 3.764931, 4.106267, 4.464623, 35.335299], [19.641421, 21.458463, 22.159235, 26.930656, 58.893359], [14.013745, 14.396357, 16.107650, 17.135974, 54.045300]]
### 10
mean: [-1.085903]
std: [1.423318]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.701608, 23.036387, 25.479846, 27.285820, 97.731244]]
## 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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"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": [[-0.037785, 0.135089, -0.119529, 0.596597, -0.184114], [-0.008952, 0.49384, 0.495509, 0.010715, 0.510772], [0.138996, -0.144127, -0.107026, -0.064645, -0.294808], [0.72643, 0.322205, -0.06696, -0.171586, 0.188539], [0.108385, -0.217225, -0.021864, 0.377311, 0.283142], [-0.119986, -0.176933, -0.137892, -0.319796, 0.183357]], "network.0.bias": [0.010203, -0.311862, -0.470913, -0.471345, 0.424047, -0.350434], "network.2.weight": [[0.215122, 0.26901, -0.169832, 0.572899, -0.28765, -0.52218], [0.265988, -0.003681, -0.458717, -0.407301, 0.622085, -0.299279], [0.595054, 0.134174, -0.283297, 0.030667, 0.476829, 0.116911], [0.209773, -0.271541, 0.119335, -0.252106, -0.2638, 0.43288], [0.437672, 0.269507, 0.096048, -0.548657, 0.250464, -0.159852], [0.315472, 0.193065, 0.186991, -0.291129, 0.166975, 0.062295]], "network.2.bias": [0.106866, 0.576479, 0.310809, -0.230522, 0.627372, -0.199548], "network.4.weight": [[0.377255, -0.163895, 0.169906, 0.096446, -0.324283, -0.389444], [-0.359009, 0.112585, 0.277553, -0.449593, 0.494302, 0.002144], [-0.013463, -0.546199, 0.415867, -0.573719, -0.121629, -0.512609], [0.16812, 0.571132, 0.350809, -0.501316, 0.376999, 0.524382], [-0.317663, 0.518217, 0.516901, -0.438111, 0.567195, 0.143273], [0.111643, 0.053029, -0.625345, -0.031031, 0.208736, -0.158266]], "network.4.bias": [0.225426, 0.500562, 0.188388, -0.014475, 0.006836, -0.147024], "network.6.weight": [[-0.027557, -0.374242, -0.016226, 0.142139, 0.196407, -0.127406], [0.580176, -0.135363, 0.28077, 0.166154, -0.064062, -0.261648], [0.231046, -0.133038, 0.503137, -0.01043, -0.317224, 0.222208], [0.234544, -0.116482, -0.061478, 0.138264, -0.292596, 0.246319], [0.300449, -0.102726, 0.21865, 0.539608, -0.368414, -0.212671], [-0.605347, 0.373687, -0.01076, 0.382478, 0.583712, 0.077236]], "network.6.bias": [-0.234229, 0.286446, 0.440497, -0.056577, 0.362428, 0.216865], "network.8.weight": [[0.517107, -0.462853, 0.220483, -0.055064, 0.176918, 0.274974], [-0.174009, 0.510321, 0.417459, 0.085362, 0.400298, -0.203891], [-0.008435, -0.134072, -0.352583, -0.514981, 0.126714, 0.450213], [0.223475, -0.494736, -0.077144, -0.438673, 0.285056, -0.037263], [-0.188874, 0.30742, 0.050228, -0.209236, 0.587643, -0.486482], [0.031818, 0.041408, -0.532671, -0.43815, -0.271439, 0.280961]], "network.8.bias": [-0.283153, -0.055256, 0.26148, -0.275575, 0.151145, 0.01754], "network.10.weight": [[-0.185055, 0.32848, -0.536892, -0.121079, 0.579995, -0.41151]], "network.10.bias": [-0.151348]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6816268563270569, "train_acc": 0.58, "val_loss": 0.7001073956489563, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6771828830242157, "train_acc": 0.58, "val_loss": 0.698060929775238, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6508616209030151, "train_acc": 0.58, "val_loss": 0.6571033000946045, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6232673823833466, "train_acc": 0.505, "val_loss": 0.5040371417999268, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4492966830730438, "train_acc": 0.895, "val_loss": 0.2225770801305771, "val_acc": 0.96}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.2758386805653572, "train_acc": 0.88, "val_loss": 0.15944819152355194, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.35532066226005554, "train_acc": 0.895, "val_loss": 0.31146830320358276, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.39149266481399536, "train_acc": 0.87, "val_loss": 0.14687952399253845, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2753518968820572, "train_acc": 0.89, "val_loss": 0.1654845029115677, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.26386016607284546, "train_acc": 0.89, "val_loss": 0.2096540629863739, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.29205892980098724, "train_acc": 0.89, "val_loss": 0.2158159464597702, "val_acc": 0.94}], "summary": {"total_epochs": 11, "degraded_epochs": 3, "improved_epochs": 8, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7001073956489563, "final_val_loss": 0.6571033000946045, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5040371417999268, "final_val_loss": 0.2158159464597702, "initial_val_acc": 0.92, "final_val_acc": 0.94, "best_val_acc": 0.96, "best_epoch": 4}, "improvement": 0.48, "first_improvement_epoch": 2}}
|
9,649
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.54, "improved_accuracy": 0.8, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3194, "learning_rate": 0.0492138314836961, "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: 6
Neurons per Layer: 5
Activation Function: relu
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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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-1.976377, 3.231493, 1.152155, -1.346928, -0.540303]
std: [3.821697, 2.294757, 1.512070, 2.306444, 2.327607]
pca: [[0.831135, 0.191771, -0.320629, 0.378911, 0.161440, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.217538, 0.721530, 0.140107, -0.042475, 0.640810, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.240073, 0.067835, 0.365887, 0.878416, -0.179652, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.287456, -0.490653, 0.647215, -0.049803, 0.505234, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.348750, -0.444158, -0.569918, 0.283773, 0.525133, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[63.388308, 63.959203, 64.558259, 66.212936, 177.873918], [35.858470, 37.371247, 42.517373, 45.959275, 290.834382], [20.892361, 22.555082, 25.109706, 30.446613, 103.693930], [33.271791, 35.059598, 41.484267, 48.215771, 121.223519], [39.074141, 39.145713, 41.381985, 45.313267, 48.627269]]
### 2
mean: [1.209179, 1.602997, 2.410397, -1.447694, -0.714832]
std: [2.259289, 2.520445, 1.494715, 1.126363, 0.462819]
pca: [[0.631198, -0.064214, 0.619509, -0.289000, -0.360767, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.713108, 0.160241, -0.281283, 0.544897, 0.299613, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.160298, 0.899447, 0.371628, 0.050866, 0.156858, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.251614, -0.335729, 0.582202, 0.693508, 0.063743, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.063728, -0.220181, 0.244994, -0.368816, 0.866840, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.373593, 37.862176, 38.293510, 39.795686, 108.826121], [38.826682, 40.303970, 40.786045, 44.271083, 144.269737], [19.669999, 21.421895, 24.846299, 30.816782, 216.935733], [16.518612, 17.830229, 18.018919, 20.356271, 130.292448], [6.720398, 6.727325, 8.206038, 8.291774, 64.334846]]
### 4
mean: [0.594416, -1.160190, -1.143428, 2.014548, 1.220174]
std: [2.205508, 1.180763, 0.673008, 3.601029, 2.853082]
pca: [[0.418917, 0.368082, -0.478169, -0.350245, 0.581126, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.217812, 0.442904, 0.241715, 0.680072, 0.485252, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.068706, 0.807333, 0.207491, -0.289380, -0.465511, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.688786, -0.081935, 0.710252, -0.054698, 0.106822, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.545820, 0.099260, -0.406716, 0.572798, -0.445771, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.602933, 35.323490, 36.561204, 39.332281, 53.497449], [19.179909, 19.251522, 20.228944, 20.896045, 104.417086], [9.729015, 9.946010, 11.747801, 12.047328, 102.908563], [55.952260, 57.675148, 62.290481, 62.823188, 181.309330], [43.874088, 44.203235, 47.712312, 50.011028, 109.815651]]
### 6
mean: [-1.131112, 4.119637, -0.399290, -0.348004, -2.452698]
std: [1.461512, 4.875921, 0.453568, 1.426474, 2.817039]
pca: [[-0.242939, 0.824555, 0.095663, -0.397824, -0.306062, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.811759, 0.416758, -0.315703, 0.111207, 0.235213, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.075429, 0.198446, 0.634646, 0.039103, 0.742041, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.237484, -0.098249, -0.564235, -0.591165, 0.515861, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.468977, 0.312070, -0.412363, 0.691639, 0.185106, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.515516, 24.569500, 25.922861, 25.924437, 101.800125], [75.563620, 80.286938, 84.093257, 84.519116, 370.767427], [7.033849, 7.502647, 8.026890, 8.051069, 35.936112], [22.063545, 23.604473, 24.567182, 24.720768, 31.320370], [43.560372, 46.788730, 48.974071, 49.163775, 220.742762]]
### 8
mean: [2.871769, -1.778267, -1.142701, -1.345534, -0.302864]
std: [3.552345, 2.066032, 0.891026, 0.797519, 0.128312]
pca: [[0.830273, 0.248886, -0.030939, -0.139476, 0.477799, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.482805, 0.256073, -0.365208, 0.175010, 0.733022, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.205704, 0.791511, 0.209211, -0.502126, -0.187876, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.185742, -0.383927, 0.668502, -0.416830, 0.444363, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.027056, 0.313996, 0.612374, 0.723906, 0.040394, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[54.987692, 58.494388, 61.146243, 61.425234, 258.459188], [32.072757, 34.007019, 35.747744, 35.967795, 160.044014], [14.220374, 14.519069, 15.527219, 15.726347, 102.843063], [12.225068, 13.105507, 13.523153, 13.536610, 121.098097], [1.899081, 1.976960, 2.278176, 2.542300, 27.257781]]
### 10
mean: [-0.215559, -0.877454, -0.238890, -0.501252, 2.039323]
std: [0.005574, 0.959360, 0.025942, 0.270989, 2.572319]
pca: [[-0.002020, 0.077167, 0.698525, 0.467135, -0.536552, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.347737, 0.934694, -0.047008, -0.042504, 0.037533, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.009403, 0.006510, -0.385438, 0.882922, 0.267871, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.098225, -0.037319, 0.599516, 0.020304, 0.793176, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.932383, 0.344901, 0.043252, -0.003797, 0.099096, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[0.086283, 0.091785, 0.095947, 0.096384, 19.400349], [14.850196, 15.797228, 16.513398, 16.588744, 78.970848], [0.401558, 0.427167, 0.446533, 0.448570, 21.500125], [4.194711, 4.462217, 4.664513, 4.685795, 45.112669], [39.817613, 42.356876, 44.277134, 44.479157, 183.539088]]
### 12
mean: [-0.746789]
std: [1.539551]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.813796, 25.347580, 26.487397, 26.629226, 67.210988]]
## 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: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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-1.084718,
0.16948
],
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0.567433,
0.038496,
0.280424
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[
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0.258174
],
[
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## Activation Signature
### 0
mean: [-1.976377, 3.231493, 1.152155, -1.346928, -0.540303]
std: [3.821697, 2.294757, 1.512070, 2.306444, 2.327607]
pca: [[0.831135, 0.191771, -0.320629, 0.378911, 0.161440, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.217538, 0.721530, 0.140107, -0.042475, 0.640810, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.240073, 0.067835, 0.365887, 0.878416, -0.179652, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.287456, -0.490653, 0.647215, -0.049803, 0.505234, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.348750, -0.444158, -0.569918, 0.283773, 0.525133, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[63.388308, 63.959203, 64.558259, 66.212936, 177.873918], [35.858470, 37.371247, 42.517373, 45.959275, 290.834382], [20.892361, 22.555082, 25.109706, 30.446613, 103.693930], [33.271791, 35.059598, 41.484267, 48.215771, 121.223519], [39.074141, 39.145713, 41.381985, 45.313267, 48.627269]]
### 2
mean: [1.209179, 1.602997, 2.410397, -1.447694, -0.714832]
std: [2.259289, 2.520445, 1.494715, 1.126363, 0.462819]
pca: [[0.631198, -0.064214, 0.619509, -0.289000, -0.360767, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.713108, 0.160241, -0.281283, 0.544897, 0.299613, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.160298, 0.899447, 0.371628, 0.050866, 0.156858, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.251614, -0.335729, 0.582202, 0.693508, 0.063743, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.063728, -0.220181, 0.244994, -0.368816, 0.866840, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.373593, 37.862176, 38.293510, 39.795686, 108.826121], [38.826682, 40.303970, 40.786045, 44.271083, 144.269737], [19.669999, 21.421895, 24.846299, 30.816782, 216.935733], [16.518612, 17.830229, 18.018919, 20.356271, 130.292448], [6.720398, 6.727325, 8.206038, 8.291774, 64.334846]]
### 4
mean: [0.594416, -1.160190, -1.143428, 2.014548, 1.220174]
std: [2.205508, 1.180763, 0.673008, 3.601029, 2.853082]
pca: [[0.418917, 0.368082, -0.478169, -0.350245, 0.581126, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.217812, 0.442904, 0.241715, 0.680072, 0.485252, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.068706, 0.807333, 0.207491, -0.289380, -0.465511, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.688786, -0.081935, 0.710252, -0.054698, 0.106822, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.545820, 0.099260, -0.406716, 0.572798, -0.445771, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.602933, 35.323490, 36.561204, 39.332281, 53.497449], [19.179909, 19.251522, 20.228944, 20.896045, 104.417086], [9.729015, 9.946010, 11.747801, 12.047328, 102.908563], [55.952260, 57.675148, 62.290481, 62.823188, 181.309330], [43.874088, 44.203235, 47.712312, 50.011028, 109.815651]]
### 6
mean: [-1.131112, 4.119637, -0.399290, -0.348004, -2.452698]
std: [1.461512, 4.875921, 0.453568, 1.426474, 2.817039]
pca: [[-0.242939, 0.824555, 0.095663, -0.397824, -0.306062, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.811759, 0.416758, -0.315703, 0.111207, 0.235213, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.075429, 0.198446, 0.634646, 0.039103, 0.742041, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.237484, -0.098249, -0.564235, -0.591165, 0.515861, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.468977, 0.312070, -0.412363, 0.691639, 0.185106, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.515516, 24.569500, 25.922861, 25.924437, 101.800125], [75.563620, 80.286938, 84.093257, 84.519116, 370.767427], [7.033849, 7.502647, 8.026890, 8.051069, 35.936112], [22.063545, 23.604473, 24.567182, 24.720768, 31.320370], [43.560372, 46.788730, 48.974071, 49.163775, 220.742762]]
### 8
mean: [2.871769, -1.778267, -1.142701, -1.345534, -0.302864]
std: [3.552345, 2.066032, 0.891026, 0.797519, 0.128312]
pca: [[0.830273, 0.248886, -0.030939, -0.139476, 0.477799, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.482805, 0.256073, -0.365208, 0.175010, 0.733022, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.205704, 0.791511, 0.209211, -0.502126, -0.187876, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.185742, -0.383927, 0.668502, -0.416830, 0.444363, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.027056, 0.313996, 0.612374, 0.723906, 0.040394, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[54.987692, 58.494388, 61.146243, 61.425234, 258.459188], [32.072757, 34.007019, 35.747744, 35.967795, 160.044014], [14.220374, 14.519069, 15.527219, 15.726347, 102.843063], [12.225068, 13.105507, 13.523153, 13.536610, 121.098097], [1.899081, 1.976960, 2.278176, 2.542300, 27.257781]]
### 10
mean: [-0.215559, -0.877454, -0.238890, -0.501252, 2.039323]
std: [0.005574, 0.959360, 0.025942, 0.270989, 2.572319]
pca: [[-0.002020, 0.077167, 0.698525, 0.467135, -0.536552, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.347737, 0.934694, -0.047008, -0.042504, 0.037533, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.009403, 0.006510, -0.385438, 0.882922, 0.267871, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.098225, -0.037319, 0.599516, 0.020304, 0.793176, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.932383, 0.344901, 0.043252, -0.003797, 0.099096, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[0.086283, 0.091785, 0.095947, 0.096384, 19.400349], [14.850196, 15.797228, 16.513398, 16.588744, 78.970848], [0.401558, 0.427167, 0.446533, 0.448570, 21.500125], [4.194711, 4.462217, 4.664513, 4.685795, 45.112669], [39.817613, 42.356876, 44.277134, 44.479157, 183.539088]]
### 12
mean: [-0.746789]
std: [1.539551]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.813796, 25.347580, 26.487397, 26.629226, 67.210988]]
## 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": 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": [[0.608216, -1.238171, 0.521863, -1.084718, 0.16948], [0.047601, 0.851711, 0.567433, 0.038496, 0.280424], [-0.563627, 0.376769, 0.228491, 0.310845, 0.258174], [-0.122385, -1.233725, 0.337702, 0.363074, -0.534831], [-0.223865, 0.563731, -1.128568, 0.137912, 0.27973]], "network.0.bias": [0.549933, 0.006537, -0.295297, 0.229105, 0.427749], "network.2.weight": [[-1.015662, 0.696047, -0.060762, -0.365347, -0.852294], [-0.957881, 0.514729, 0.74393, -0.770031, -0.86743], [0.671582, 0.323324, -0.186308, 0.602706, 1.175632], [0.359351, -0.196134, -0.422813, -0.207216, -0.142406], [-0.206146, 0.05977, -0.151545, 0.087632, -0.325645]], "network.2.bias": [0.340392, 0.339011, 0.26724, -0.326529, -0.398398], "network.4.weight": [[0.780018, 0.259861, -0.456392, -0.365652, -0.1521], [-0.277264, -0.344211, -0.00396, -0.103189, -0.253353], [0.007556, -0.292512, -0.279781, -0.163001, 0.434553], [0.7202, 1.016695, -0.584063, -0.227251, 0.186781], [0.878789, 0.513809, -0.447262, -0.472879, -0.095871]], "network.4.bias": [-0.020089, -0.03238, 0.10446, 0.300771, -0.06661], "network.6.weight": [[0.217496, -0.402814, 0.298146, -0.413315, -0.232704], [0.730026, 0.075776, -0.183415, 0.778648, 0.571749], [-0.071876, 0.445702, -0.32595, -0.155625, 0.06135], [-0.077128, 0.361967, -0.031584, -0.18979, -0.313172], [-0.052236, 0.30613, -0.427761, -0.515688, -0.49914]], "network.6.bias": [0.077253, 0.214173, -0.026651, 0.795701, -0.173215], "network.8.weight": [[0.249764, 0.716138, -0.37847, -0.214209, 0.006866], [0.188518, -0.437779, -0.410189, -0.236526, 0.351477], [0.220056, -0.222451, -0.293212, -0.669969, -0.201578], [-0.360094, -0.142709, 0.145855, 0.34678, -0.03692], [-0.081564, 0.007371, 0.232445, -0.245994, -0.197074]], "network.8.bias": [-0.001003, 0.113899, 0.036206, -0.884614, -0.230999], "network.10.weight": [[-0.001569, 0.223636, -0.375185, -0.196899, 0.341363], [-0.270064, -0.222434, -0.119711, -0.083729, 0.439705], [-0.007303, -0.057797, 0.013325, 0.251765, -0.421353], [-0.076285, 0.288278, 0.215612, 0.337686, -0.329378], [0.724119, -0.047266, 0.012441, -0.202414, 0.255204]], "network.10.bias": [-0.211053, -0.101893, -0.217919, -0.28218, -0.040178], "network.12.weight": [[-0.110432, -0.231996, 0.376446, -0.302029, -0.601967]], "network.12.bias": [0.491854]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.686897873878479, "train_acc": 0.57, "val_loss": 0.691437304019928, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6852762699127197, "train_acc": 0.57, "val_loss": 0.6903591156005859, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6816155314445496, "train_acc": 0.57, "val_loss": 0.6866714358329773, "val_acc": 0.54}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6792670488357544, "train_acc": 0.57, "val_loss": 0.6763641238212585, "val_acc": 0.54}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6692651808261871, "train_acc": 0.57, "val_loss": 0.6556464433670044, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6942069828510284, "train_acc": 0.49, "val_loss": 0.6838367581367493, "val_acc": 0.54}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6925579905509949, "train_acc": 0.49, "val_loss": 0.6889672875404358, "val_acc": 0.54}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6899977922439575, "train_acc": 0.595, "val_loss": 0.678170382976532, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.6759119629859924, "train_acc": 0.71, "val_loss": 0.6271212100982666, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.6414572894573212, "train_acc": 0.66, "val_loss": 0.5618742108345032, "val_acc": 0.66}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.6178582012653351, "train_acc": 0.665, "val_loss": 0.5306068658828735, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.5802172422409058, "train_acc": 0.745, "val_loss": 0.5172849893569946, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.559780091047287, "train_acc": 0.735, "val_loss": 0.4704192280769348, "val_acc": 0.78}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.5284152626991272, "train_acc": 0.76, "val_loss": 0.4547567367553711, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.5069245845079422, "train_acc": 0.81, "val_loss": 0.46991366147994995, "val_acc": 0.78}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.691437304019928, "final_val_loss": 0.6556464433670044, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.6838367581367493, "final_val_loss": 0.46991366147994995, "initial_val_acc": 0.54, "final_val_acc": 0.78, "best_val_acc": 0.8, "best_epoch": 13}, "improvement": 0.26, "first_improvement_epoch": 4}}
|
9,650
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.38, "improved_accuracy": 0.76, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2714, "learning_rate": 0.03715619508518556, "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: 6
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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0.411477,
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0.537213
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[
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0.071944,
-0.272971,
-0.035553,
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-0.22506,
-0.001038,
0.150421
],
[
-0.128193,
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0.442366,
-0.211718,
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]
],
"network.6.bias": [
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"network.8.weight": [
[
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [-0.704622, -0.739497, -0.077285, -3.023464, 2.458489, -1.218129, 0.419844, -1.474878]
std: [1.608963, 1.763753, 0.923840, 2.277048, 1.714295, 1.377009, 1.585033, 1.985661]
pca: [[-0.150413, 0.182710, 0.321476, 0.801068, -0.114836, -0.057758, 0.135950, -0.404884, 0.000000, 0.000000], [0.173644, -0.579669, -0.410804, 0.201721, 0.387360, 0.078966, 0.470421, -0.216336, 0.000000, 0.000000], [0.000511, 0.003398, 0.262520, 0.120278, 0.643880, 0.565946, -0.424227, 0.041953, 0.000000, 0.000000], [0.651178, 0.424544, 0.032697, -0.085618, -0.165738, 0.468038, 0.363954, -0.091315, 0.000000, 0.000000], [-0.298429, -0.153981, 0.609912, -0.474257, 0.090625, 0.062452, 0.432355, -0.302116, 0.000000, 0.000000], [0.249666, -0.267642, 0.453950, 0.243363, -0.006695, -0.132987, 0.232421, 0.727316, 0.000000, 0.000000], [-0.080092, 0.580582, -0.105259, -0.026525, 0.599340, -0.411023, 0.307834, 0.147703, 0.000000, 0.000000], [0.604469, -0.133919, 0.262231, -0.104656, 0.165069, -0.510439, -0.334780, -0.370258, 0.000000, 0.000000]]
fourier: [[30.032539, 31.519727, 32.041222, 33.963388, 63.416012], [26.790733, 29.379283, 29.500614, 30.185491, 66.554764], [12.906688, 13.320858, 13.670482, 15.883964, 18.285845], [32.199475, 34.250748, 38.355926, 41.151168, 272.111742], [26.603943, 27.050825, 29.614528, 31.145049, 221.263998], [19.123834, 19.396697, 20.415075, 31.997470, 109.631581], [22.342175, 22.974879, 23.252489, 36.150720, 37.785954], [30.600093, 33.071249, 34.477251, 39.600460, 132.738996]]
### 2
mean: [1.152227, -1.180048, -0.890610, 0.114940, 0.264940, 0.252545, -0.320393, -1.673752]
std: [0.908786, 0.825290, 1.223811, 0.794857, 0.747317, 0.664874, 0.648164, 1.017878]
pca: [[-0.465303, -0.048253, -0.151578, 0.308269, -0.321626, 0.092847, 0.129295, 0.731012, 0.000000, 0.000000], [0.337855, 0.360265, -0.055258, -0.368459, -0.364185, 0.529073, -0.392652, 0.224772, 0.000000, 0.000000], [0.555948, 0.439235, 0.090665, 0.527569, 0.039580, -0.381715, -0.033783, 0.251059, 0.000000, 0.000000], [-0.204427, 0.490235, -0.164934, -0.482835, 0.547128, -0.194118, 0.158098, 0.309065, 0.000000, 0.000000], [0.235782, -0.245741, 0.706646, -0.109107, 0.240765, 0.292397, 0.342559, 0.334598, 0.000000, 0.000000], [-0.142970, 0.437721, -0.075346, 0.392259, 0.154874, 0.591136, 0.391212, -0.319283, 0.000000, 0.000000], [0.160787, -0.355352, -0.367337, 0.246890, 0.599840, 0.305088, -0.401444, 0.194773, 0.000000, 0.000000], [0.465395, -0.237404, -0.546430, -0.176134, -0.145770, 0.007522, 0.609442, 0.068651, 0.000000, 0.000000]]
fourier: [[13.234002, 14.793537, 16.961604, 20.555332, 103.700400], [13.556580, 13.750686, 13.909338, 15.810193, 106.204330], [19.630634, 20.202029, 21.514221, 28.374429, 80.154851], [12.293996, 12.359938, 12.554565, 17.132932, 17.588445], [10.670247, 10.913071, 11.498775, 13.258618, 23.844558], [10.095713, 10.473730, 11.715739, 14.214722, 22.729071], [10.168403, 12.107942, 12.733011, 13.149503, 28.835361], [13.811503, 15.154095, 20.130058, 21.967988, 150.637668]]
### 4
mean: [0.493953, 0.245549, -0.011180, -0.132381, -1.024280, 0.188367, -0.670600, -0.300063]
std: [0.679525, 0.619917, 0.357785, 0.413256, 0.456694, 0.747540, 0.379814, 0.625399]
pca: [[-0.458692, -0.278657, 0.106451, 0.217294, -0.347950, 0.368577, -0.144433, -0.612882, 0.000000, 0.000000], [-0.424381, -0.117868, -0.171456, 0.135168, -0.477495, 0.124042, 0.218360, 0.683572, 0.000000, 0.000000], [0.227502, 0.032878, 0.280084, 0.891464, -0.050660, -0.262083, 0.028791, 0.043859, 0.000000, 0.000000], [-0.220869, -0.259157, 0.751862, -0.305152, -0.088105, -0.434281, -0.119432, 0.122529, 0.000000, 0.000000], [-0.157841, 0.794036, 0.152148, -0.100105, -0.344659, -0.148796, 0.344883, -0.227043, 0.000000, 0.000000], [0.502335, -0.318526, 0.238244, -0.136788, -0.237847, 0.289055, 0.650961, -0.082792, 0.000000, 0.000000], [0.222029, 0.322082, 0.412975, -0.015362, -0.068763, 0.633664, -0.439336, 0.277322, 0.000000, 0.000000], [-0.427096, 0.067271, 0.255086, 0.133113, 0.678610, 0.290264, 0.425035, 0.069691, 0.000000, 0.000000]]
fourier: [[9.810063, 10.102427, 10.840650, 14.490871, 44.455790], [9.483034, 9.497706, 9.542155, 12.496741, 22.099369], [5.342455, 5.518485, 5.899720, 6.049212, 6.633453], [5.815680, 5.939414, 6.506928, 9.440427, 11.914306], [6.978672, 7.337611, 7.745821, 10.277609, 92.185190], [10.892894, 12.557249, 13.255596, 16.522360, 16.953029], [5.472036, 5.687609, 5.937758, 6.181226, 60.354000], [9.142141, 9.913603, 10.246319, 14.885668, 27.005662]]
### 6
mean: [0.009829, -0.053284, 0.516437, 0.727581, 0.390881, -0.426262, -0.614184, 0.783470]
std: [0.577338, 0.854382, 0.926217, 1.132091, 0.513505, 0.345688, 0.251466, 0.777057]
pca: [[0.280297, 0.265318, -0.212130, 0.152279, -0.236489, 0.175550, 0.773905, -0.311734, 0.000000, 0.000000], [-0.414256, 0.296102, 0.773893, 0.293985, -0.191035, 0.058548, 0.122418, -0.021673, 0.000000, 0.000000], [0.451595, 0.046791, 0.275172, 0.324205, 0.624488, -0.249375, -0.078970, -0.393236, 0.000000, 0.000000], [0.551222, -0.341727, 0.252943, 0.191099, -0.565458, -0.314180, -0.055857, 0.239387, 0.000000, 0.000000], [0.247859, -0.350209, 0.254195, -0.074882, 0.037896, 0.850421, -0.106363, -0.098651, 0.000000, 0.000000], [-0.160239, -0.523169, 0.150263, -0.035526, 0.389761, -0.113499, 0.592192, 0.401610, 0.000000, 0.000000], [-0.119742, -0.039454, -0.346417, 0.847160, 0.054490, 0.212945, -0.119839, 0.289386, 0.000000, 0.000000], [0.374958, 0.570136, 0.095871, -0.155585, 0.203793, 0.153015, 0.019060, 0.660034, 0.000000, 0.000000]]
fourier: [[8.488706, 8.489179, 8.900103, 9.450986, 11.384271], [12.121222, 12.377787, 13.676823, 14.111317, 18.352584], [13.966997, 14.598584, 14.688574, 18.635735, 46.479318], [17.503935, 17.925685, 18.217005, 23.186281, 65.482273], [7.723456, 7.815910, 8.438860, 10.914404, 35.179258], [5.185422, 5.351381, 5.620027, 6.098262, 38.363597], [3.899622, 3.979102, 4.107420, 4.548854, 55.276536], [11.252994, 12.419402, 12.489962, 14.805490, 70.512281]]
### 8
mean: [-1.049318, 1.088686, -0.020623, 0.193250, 0.185814, -0.352939, -0.553046, -1.183781]
std: [1.085986, 1.980914, 0.135551, 0.170610, 0.402687, 0.542114, 0.907380, 1.621764]
pca: [[-0.360835, 0.253493, 0.713251, 0.176919, -0.027224, -0.078764, 0.097748, -0.499012, 0.000000, 0.000000], [0.658769, 0.322186, 0.001784, 0.582887, 0.043588, 0.209426, 0.262780, -0.087441, 0.000000, 0.000000], [0.042253, 0.277111, 0.477335, -0.242053, -0.045106, 0.102045, 0.261815, 0.744306, 0.000000, 0.000000], [-0.050246, 0.557920, -0.123038, -0.296368, 0.066070, 0.603129, -0.440140, -0.146204, 0.000000, 0.000000], [-0.131765, 0.487502, -0.405895, -0.308298, 0.015867, -0.304908, 0.599051, -0.181930, 0.000000, 0.000000], [-0.179429, 0.369319, -0.163752, 0.363627, -0.611204, -0.346669, -0.353950, 0.230950, 0.000000, 0.000000], [-0.301648, 0.207093, -0.104965, 0.358381, 0.767415, -0.206623, -0.168686, 0.258056, 0.000000, 0.000000], [-0.539410, -0.164103, -0.213775, 0.356104, -0.167961, 0.565613, 0.382784, 0.122251, 0.000000, 0.000000]]
fourier: [[16.456712, 17.072795, 17.692404, 21.600641, 94.438582], [29.475187, 31.489700, 32.408452, 38.349304, 97.981731], [1.970566, 2.012833, 2.060724, 2.149653, 2.398286], [2.504980, 2.694038, 2.969254, 3.937199, 17.392479], [6.024039, 6.251942, 6.547599, 8.538269, 16.723259], [8.413926, 8.474554, 8.497704, 11.224112, 31.764502], [13.757538, 14.429320, 14.482838, 18.248783, 49.774140], [24.075709, 25.831873, 26.249617, 31.763433, 106.540272]]
### 10
mean: [0.463926, -0.716383, 0.252237, 0.147085, 0.175275, 0.172274, 0.456970, -0.333778]
std: [1.465016, 0.345141, 0.625784, 1.107346, 0.589564, 0.608543, 0.921444, 0.080594]
pca: [[0.627599, 0.082427, 0.607076, 0.267611, -0.191381, 0.257597, 0.170940, 0.164208, 0.000000, 0.000000], [-0.147443, -0.273725, 0.136964, 0.700243, 0.226236, -0.419242, -0.295714, 0.282563, 0.000000, 0.000000], [0.267947, -0.010485, -0.508939, 0.306376, 0.421349, 0.613056, -0.142064, 0.040664, 0.000000, 0.000000], [0.474352, -0.057509, -0.523098, 0.238728, -0.391217, -0.427554, 0.212156, -0.245353, 0.000000, 0.000000], [-0.252401, 0.266193, -0.146699, 0.172174, 0.112183, -0.021659, 0.770710, 0.455217, 0.000000, 0.000000], [0.260328, 0.381748, -0.194127, -0.296984, -0.078096, -0.204894, -0.406584, 0.668746, 0.000000, 0.000000], [0.394721, -0.203468, 0.098824, -0.342964, 0.707049, -0.354868, 0.215363, -0.056349, 0.000000, 0.000000], [-0.017126, 0.810477, 0.105244, 0.227417, 0.251005, -0.175664, -0.111599, -0.416801, 0.000000, 0.000000]]
fourier: [[21.378260, 23.400118, 24.594832, 27.666581, 41.753350], [5.019288, 5.489972, 5.895400, 6.295378, 64.474470], [9.127209, 9.969584, 10.617667, 12.041763, 22.701359], [16.095231, 16.223211, 17.695174, 18.704908, 21.169665], [8.757400, 9.426007, 9.728075, 11.470343, 15.774729], [8.760306, 9.725529, 10.424385, 11.183411, 15.504620], [13.527250, 14.802336, 15.313270, 17.760006, 41.127309], [1.156063, 1.244286, 1.283829, 2.035692, 30.040052]]
### 12
mean: [-0.147610]
std: [1.298604]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.508986, 18.920675, 20.453799, 22.883554, 23.581795]]
## 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: 6
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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],
"network.0.bias": [
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"network.2.weight": [
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[
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0.252738,
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-0.168359,
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[
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0.071501,
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[
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[
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0.007169
]
],
"network.2.bias": [
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## Activation Signature
### 0
mean: [-0.704622, -0.739497, -0.077285, -3.023464, 2.458489, -1.218129, 0.419844, -1.474878]
std: [1.608963, 1.763753, 0.923840, 2.277048, 1.714295, 1.377009, 1.585033, 1.985661]
pca: [[-0.150413, 0.182710, 0.321476, 0.801068, -0.114836, -0.057758, 0.135950, -0.404884, 0.000000, 0.000000], [0.173644, -0.579669, -0.410804, 0.201721, 0.387360, 0.078966, 0.470421, -0.216336, 0.000000, 0.000000], [0.000511, 0.003398, 0.262520, 0.120278, 0.643880, 0.565946, -0.424227, 0.041953, 0.000000, 0.000000], [0.651178, 0.424544, 0.032697, -0.085618, -0.165738, 0.468038, 0.363954, -0.091315, 0.000000, 0.000000], [-0.298429, -0.153981, 0.609912, -0.474257, 0.090625, 0.062452, 0.432355, -0.302116, 0.000000, 0.000000], [0.249666, -0.267642, 0.453950, 0.243363, -0.006695, -0.132987, 0.232421, 0.727316, 0.000000, 0.000000], [-0.080092, 0.580582, -0.105259, -0.026525, 0.599340, -0.411023, 0.307834, 0.147703, 0.000000, 0.000000], [0.604469, -0.133919, 0.262231, -0.104656, 0.165069, -0.510439, -0.334780, -0.370258, 0.000000, 0.000000]]
fourier: [[30.032539, 31.519727, 32.041222, 33.963388, 63.416012], [26.790733, 29.379283, 29.500614, 30.185491, 66.554764], [12.906688, 13.320858, 13.670482, 15.883964, 18.285845], [32.199475, 34.250748, 38.355926, 41.151168, 272.111742], [26.603943, 27.050825, 29.614528, 31.145049, 221.263998], [19.123834, 19.396697, 20.415075, 31.997470, 109.631581], [22.342175, 22.974879, 23.252489, 36.150720, 37.785954], [30.600093, 33.071249, 34.477251, 39.600460, 132.738996]]
### 2
mean: [1.152227, -1.180048, -0.890610, 0.114940, 0.264940, 0.252545, -0.320393, -1.673752]
std: [0.908786, 0.825290, 1.223811, 0.794857, 0.747317, 0.664874, 0.648164, 1.017878]
pca: [[-0.465303, -0.048253, -0.151578, 0.308269, -0.321626, 0.092847, 0.129295, 0.731012, 0.000000, 0.000000], [0.337855, 0.360265, -0.055258, -0.368459, -0.364185, 0.529073, -0.392652, 0.224772, 0.000000, 0.000000], [0.555948, 0.439235, 0.090665, 0.527569, 0.039580, -0.381715, -0.033783, 0.251059, 0.000000, 0.000000], [-0.204427, 0.490235, -0.164934, -0.482835, 0.547128, -0.194118, 0.158098, 0.309065, 0.000000, 0.000000], [0.235782, -0.245741, 0.706646, -0.109107, 0.240765, 0.292397, 0.342559, 0.334598, 0.000000, 0.000000], [-0.142970, 0.437721, -0.075346, 0.392259, 0.154874, 0.591136, 0.391212, -0.319283, 0.000000, 0.000000], [0.160787, -0.355352, -0.367337, 0.246890, 0.599840, 0.305088, -0.401444, 0.194773, 0.000000, 0.000000], [0.465395, -0.237404, -0.546430, -0.176134, -0.145770, 0.007522, 0.609442, 0.068651, 0.000000, 0.000000]]
fourier: [[13.234002, 14.793537, 16.961604, 20.555332, 103.700400], [13.556580, 13.750686, 13.909338, 15.810193, 106.204330], [19.630634, 20.202029, 21.514221, 28.374429, 80.154851], [12.293996, 12.359938, 12.554565, 17.132932, 17.588445], [10.670247, 10.913071, 11.498775, 13.258618, 23.844558], [10.095713, 10.473730, 11.715739, 14.214722, 22.729071], [10.168403, 12.107942, 12.733011, 13.149503, 28.835361], [13.811503, 15.154095, 20.130058, 21.967988, 150.637668]]
### 4
mean: [0.493953, 0.245549, -0.011180, -0.132381, -1.024280, 0.188367, -0.670600, -0.300063]
std: [0.679525, 0.619917, 0.357785, 0.413256, 0.456694, 0.747540, 0.379814, 0.625399]
pca: [[-0.458692, -0.278657, 0.106451, 0.217294, -0.347950, 0.368577, -0.144433, -0.612882, 0.000000, 0.000000], [-0.424381, -0.117868, -0.171456, 0.135168, -0.477495, 0.124042, 0.218360, 0.683572, 0.000000, 0.000000], [0.227502, 0.032878, 0.280084, 0.891464, -0.050660, -0.262083, 0.028791, 0.043859, 0.000000, 0.000000], [-0.220869, -0.259157, 0.751862, -0.305152, -0.088105, -0.434281, -0.119432, 0.122529, 0.000000, 0.000000], [-0.157841, 0.794036, 0.152148, -0.100105, -0.344659, -0.148796, 0.344883, -0.227043, 0.000000, 0.000000], [0.502335, -0.318526, 0.238244, -0.136788, -0.237847, 0.289055, 0.650961, -0.082792, 0.000000, 0.000000], [0.222029, 0.322082, 0.412975, -0.015362, -0.068763, 0.633664, -0.439336, 0.277322, 0.000000, 0.000000], [-0.427096, 0.067271, 0.255086, 0.133113, 0.678610, 0.290264, 0.425035, 0.069691, 0.000000, 0.000000]]
fourier: [[9.810063, 10.102427, 10.840650, 14.490871, 44.455790], [9.483034, 9.497706, 9.542155, 12.496741, 22.099369], [5.342455, 5.518485, 5.899720, 6.049212, 6.633453], [5.815680, 5.939414, 6.506928, 9.440427, 11.914306], [6.978672, 7.337611, 7.745821, 10.277609, 92.185190], [10.892894, 12.557249, 13.255596, 16.522360, 16.953029], [5.472036, 5.687609, 5.937758, 6.181226, 60.354000], [9.142141, 9.913603, 10.246319, 14.885668, 27.005662]]
### 6
mean: [0.009829, -0.053284, 0.516437, 0.727581, 0.390881, -0.426262, -0.614184, 0.783470]
std: [0.577338, 0.854382, 0.926217, 1.132091, 0.513505, 0.345688, 0.251466, 0.777057]
pca: [[0.280297, 0.265318, -0.212130, 0.152279, -0.236489, 0.175550, 0.773905, -0.311734, 0.000000, 0.000000], [-0.414256, 0.296102, 0.773893, 0.293985, -0.191035, 0.058548, 0.122418, -0.021673, 0.000000, 0.000000], [0.451595, 0.046791, 0.275172, 0.324205, 0.624488, -0.249375, -0.078970, -0.393236, 0.000000, 0.000000], [0.551222, -0.341727, 0.252943, 0.191099, -0.565458, -0.314180, -0.055857, 0.239387, 0.000000, 0.000000], [0.247859, -0.350209, 0.254195, -0.074882, 0.037896, 0.850421, -0.106363, -0.098651, 0.000000, 0.000000], [-0.160239, -0.523169, 0.150263, -0.035526, 0.389761, -0.113499, 0.592192, 0.401610, 0.000000, 0.000000], [-0.119742, -0.039454, -0.346417, 0.847160, 0.054490, 0.212945, -0.119839, 0.289386, 0.000000, 0.000000], [0.374958, 0.570136, 0.095871, -0.155585, 0.203793, 0.153015, 0.019060, 0.660034, 0.000000, 0.000000]]
fourier: [[8.488706, 8.489179, 8.900103, 9.450986, 11.384271], [12.121222, 12.377787, 13.676823, 14.111317, 18.352584], [13.966997, 14.598584, 14.688574, 18.635735, 46.479318], [17.503935, 17.925685, 18.217005, 23.186281, 65.482273], [7.723456, 7.815910, 8.438860, 10.914404, 35.179258], [5.185422, 5.351381, 5.620027, 6.098262, 38.363597], [3.899622, 3.979102, 4.107420, 4.548854, 55.276536], [11.252994, 12.419402, 12.489962, 14.805490, 70.512281]]
### 8
mean: [-1.049318, 1.088686, -0.020623, 0.193250, 0.185814, -0.352939, -0.553046, -1.183781]
std: [1.085986, 1.980914, 0.135551, 0.170610, 0.402687, 0.542114, 0.907380, 1.621764]
pca: [[-0.360835, 0.253493, 0.713251, 0.176919, -0.027224, -0.078764, 0.097748, -0.499012, 0.000000, 0.000000], [0.658769, 0.322186, 0.001784, 0.582887, 0.043588, 0.209426, 0.262780, -0.087441, 0.000000, 0.000000], [0.042253, 0.277111, 0.477335, -0.242053, -0.045106, 0.102045, 0.261815, 0.744306, 0.000000, 0.000000], [-0.050246, 0.557920, -0.123038, -0.296368, 0.066070, 0.603129, -0.440140, -0.146204, 0.000000, 0.000000], [-0.131765, 0.487502, -0.405895, -0.308298, 0.015867, -0.304908, 0.599051, -0.181930, 0.000000, 0.000000], [-0.179429, 0.369319, -0.163752, 0.363627, -0.611204, -0.346669, -0.353950, 0.230950, 0.000000, 0.000000], [-0.301648, 0.207093, -0.104965, 0.358381, 0.767415, -0.206623, -0.168686, 0.258056, 0.000000, 0.000000], [-0.539410, -0.164103, -0.213775, 0.356104, -0.167961, 0.565613, 0.382784, 0.122251, 0.000000, 0.000000]]
fourier: [[16.456712, 17.072795, 17.692404, 21.600641, 94.438582], [29.475187, 31.489700, 32.408452, 38.349304, 97.981731], [1.970566, 2.012833, 2.060724, 2.149653, 2.398286], [2.504980, 2.694038, 2.969254, 3.937199, 17.392479], [6.024039, 6.251942, 6.547599, 8.538269, 16.723259], [8.413926, 8.474554, 8.497704, 11.224112, 31.764502], [13.757538, 14.429320, 14.482838, 18.248783, 49.774140], [24.075709, 25.831873, 26.249617, 31.763433, 106.540272]]
### 10
mean: [0.463926, -0.716383, 0.252237, 0.147085, 0.175275, 0.172274, 0.456970, -0.333778]
std: [1.465016, 0.345141, 0.625784, 1.107346, 0.589564, 0.608543, 0.921444, 0.080594]
pca: [[0.627599, 0.082427, 0.607076, 0.267611, -0.191381, 0.257597, 0.170940, 0.164208, 0.000000, 0.000000], [-0.147443, -0.273725, 0.136964, 0.700243, 0.226236, -0.419242, -0.295714, 0.282563, 0.000000, 0.000000], [0.267947, -0.010485, -0.508939, 0.306376, 0.421349, 0.613056, -0.142064, 0.040664, 0.000000, 0.000000], [0.474352, -0.057509, -0.523098, 0.238728, -0.391217, -0.427554, 0.212156, -0.245353, 0.000000, 0.000000], [-0.252401, 0.266193, -0.146699, 0.172174, 0.112183, -0.021659, 0.770710, 0.455217, 0.000000, 0.000000], [0.260328, 0.381748, -0.194127, -0.296984, -0.078096, -0.204894, -0.406584, 0.668746, 0.000000, 0.000000], [0.394721, -0.203468, 0.098824, -0.342964, 0.707049, -0.354868, 0.215363, -0.056349, 0.000000, 0.000000], [-0.017126, 0.810477, 0.105244, 0.227417, 0.251005, -0.175664, -0.111599, -0.416801, 0.000000, 0.000000]]
fourier: [[21.378260, 23.400118, 24.594832, 27.666581, 41.753350], [5.019288, 5.489972, 5.895400, 6.295378, 64.474470], [9.127209, 9.969584, 10.617667, 12.041763, 22.701359], [16.095231, 16.223211, 17.695174, 18.704908, 21.169665], [8.757400, 9.426007, 9.728075, 11.470343, 15.774729], [8.760306, 9.725529, 10.424385, 11.183411, 15.504620], [13.527250, 14.802336, 15.313270, 17.760006, 41.127309], [1.156063, 1.244286, 1.283829, 2.035692, 30.040052]]
### 12
mean: [-0.147610]
std: [1.298604]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.508986, 18.920675, 20.453799, 22.883554, 23.581795]]
## 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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|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6695926487445831, "train_acc": 0.61, "val_loss": 0.7932236194610596, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.668675035238266, "train_acc": 0.61, "val_loss": 0.7962300181388855, "val_acc": 0.38}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6570151746273041, "train_acc": 0.61, "val_loss": 0.7580259442329407, "val_acc": 0.38}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.601813793182373, "train_acc": 0.61, "val_loss": 0.7308314442634583, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.653992086648941, "train_acc": 0.53, "val_loss": 0.6533856987953186, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6947308778762817, "train_acc": 0.48, "val_loss": 0.6332342624664307, "val_acc": 0.64}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.6512700021266937, "train_acc": 0.65, "val_loss": 0.6186611652374268, "val_acc": 0.68}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.6357762515544891, "train_acc": 0.725, "val_loss": 0.5702884793281555, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5892390310764313, "train_acc": 0.745, "val_loss": 0.5122398734092712, "val_acc": 0.72}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.5633746683597565, "train_acc": 0.74, "val_loss": 0.47713860869407654, "val_acc": 0.74}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.5221549719572067, "train_acc": 0.77, "val_loss": 0.4720352292060852, "val_acc": 0.74}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.48694726824760437, "train_acc": 0.775, "val_loss": 0.47922593355178833, "val_acc": 0.74}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.44409528374671936, "train_acc": 0.81, "val_loss": 0.5321551561355591, "val_acc": 0.76}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.43743835389614105, "train_acc": 0.83, "val_loss": 0.5885236859321594, "val_acc": 0.76}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.7932236194610596, "final_val_loss": 0.7308314442634583, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.6533856987953186, "final_val_loss": 0.5885236859321594, "initial_val_acc": 0.56, "final_val_acc": 0.76, "best_val_acc": 0.76, "best_epoch": 12}, "improvement": 0.38, "first_improvement_epoch": 3}}
|
9,651
|
{"target_pattern": "alternating", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9687, "learning_rate": 0.025439929623713817, "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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"network.0.bias": [
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[
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"network.2.bias": [
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}
## Activation Signature
### 0
mean: [-1.835111, 1.237435, 3.034153, 0.708285, -1.953326, -1.093885]
std: [1.137206, 1.725175, 1.846285, 0.777324, 1.331360, 0.965470]
pca: [[-0.398513, 0.192074, -0.054084, 0.614578, -0.266634, -0.593776, 0.000000, 0.000000, 0.000000, 0.000000], [0.372863, 0.752198, 0.272769, -0.156525, -0.442992, 0.005143, 0.000000, 0.000000, 0.000000, 0.000000], [0.594592, -0.502555, 0.212225, 0.448787, -0.380140, 0.054253, 0.000000, 0.000000, 0.000000, 0.000000], [0.144841, 0.336071, 0.218716, 0.575528, 0.627424, 0.305528, 0.000000, 0.000000, 0.000000, 0.000000], [-0.451759, -0.161363, 0.858745, -0.083740, -0.094390, 0.128493, 0.000000, 0.000000, 0.000000, 0.000000], [-0.351505, 0.075906, -0.303895, 0.241120, -0.430800, 0.731165, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.636004, 19.945040, 20.505008, 20.585980, 165.159963], [26.950640, 27.437411, 27.439327, 29.313236, 111.369168], [29.283058, 31.036089, 31.249189, 31.876704, 273.073823], [11.845983, 12.303756, 12.986701, 13.502515, 63.745620], [21.283057, 22.502684, 26.953929, 27.938600, 175.799362], [14.863343, 17.799156, 18.189209, 18.955000, 98.449623]]
### 2
mean: [1.205843, 0.256586, 0.237850, -0.918118, 0.212478, 1.362774]
std: [0.991168, 1.560347, 1.428671, 0.497934, 1.177285, 1.360715]
pca: [[0.312794, 0.420638, 0.578479, -0.552924, 0.047702, -0.287376, 0.000000, 0.000000, 0.000000, 0.000000], [0.558971, 0.200661, -0.479742, 0.006668, 0.645096, 0.030667, 0.000000, 0.000000, 0.000000, 0.000000], [0.515323, 0.121134, -0.051565, -0.050471, -0.552446, 0.639817, 0.000000, 0.000000, 0.000000, 0.000000], [0.054690, -0.409621, 0.575408, 0.100629, 0.482906, 0.504777, 0.000000, 0.000000, 0.000000, 0.000000], [0.426389, 0.012764, 0.296020, 0.748983, -0.142678, -0.386095, 0.000000, 0.000000, 0.000000, 0.000000], [-0.373302, 0.774708, 0.117596, 0.347248, 0.151075, 0.321308, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.239142, 15.080135, 16.068752, 16.123483, 108.525853], [23.549769, 24.048275, 24.424724, 25.753710, 26.392996], [21.406463, 21.535072, 21.691645, 23.974496, 24.244449], [7.611577, 8.431076, 9.004440, 10.592387, 82.630641], [17.551490, 18.128477, 19.123020, 20.096236, 20.437593], [22.429232, 22.966833, 24.014629, 24.179574, 122.649674]]
### 4
mean: [0.985482, 0.275476, -0.782061, 0.733791, 0.847067, 0.590376]
std: [1.686575, 0.280582, 1.380114, 1.434699, 1.564766, 0.731840]
pca: [[0.540895, 0.068726, 0.647233, 0.417399, -0.243959, -0.223744, 0.000000, 0.000000, 0.000000, 0.000000], [-0.040294, -0.595621, -0.395747, 0.668089, -0.198158, 0.037235, 0.000000, 0.000000, 0.000000, 0.000000], [-0.442424, 0.204556, 0.357563, 0.277116, -0.167954, 0.727712, 0.000000, 0.000000, 0.000000, 0.000000], [0.460876, -0.104769, -0.209000, -0.399770, -0.630483, 0.419060, 0.000000, 0.000000, 0.000000, 0.000000], [0.502607, -0.162006, -0.009523, 0.057114, 0.688977, 0.493051, 0.000000, 0.000000, 0.000000, 0.000000], [0.212248, 0.749297, -0.502843, 0.373584, -0.028482, 0.016653, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.220952, 27.175383, 29.921687, 37.137167, 88.693329], [4.280564, 4.617882, 4.659929, 5.218003, 24.792834], [20.938762, 21.973679, 24.125934, 28.676342, 70.385481], [21.826866, 22.826452, 25.234123, 30.310351, 66.041147], [24.242860, 24.687591, 27.538692, 33.246892, 76.236020], [12.144565, 12.301784, 12.527578, 14.533199, 53.133804]]
### 6
mean: [0.800720, -0.673988, 2.400756, 2.399727, 2.008302, -0.586340]
std: [1.076272, 0.443927, 2.645387, 2.910135, 2.267480, 0.905052]
pca: [[0.225898, -0.141096, 0.258703, -0.208611, 0.876122, -0.225888, 0.000000, 0.000000, 0.000000, 0.000000], [-0.091567, 0.192517, 0.848621, -0.110502, -0.103729, 0.459808, 0.000000, 0.000000, 0.000000, 0.000000], [0.554185, 0.566001, 0.017751, -0.453080, -0.248480, -0.324319, 0.000000, 0.000000, 0.000000, 0.000000], [0.611104, -0.321019, -0.241170, -0.141001, 0.000454, 0.667423, 0.000000, 0.000000, 0.000000, 0.000000], [0.476442, 0.127859, 0.200133, 0.837139, 0.005604, -0.125571, 0.000000, 0.000000, 0.000000, 0.000000], [-0.181711, 0.709416, -0.338206, 0.135299, 0.399845, 0.413698, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.625873, 18.327655, 19.283112, 22.572182, 72.064846], [6.614682, 7.587294, 7.797761, 8.948672, 60.658945], [44.370677, 45.600914, 46.431311, 55.215272, 216.068056], [47.486430, 49.426124, 51.847667, 61.094735, 215.975451], [38.297908, 38.312363, 40.117101, 47.572420, 180.747215], [13.916071, 14.910540, 15.895545, 18.601057, 52.770577]]
### 8
mean: [-4.118417]
std: [5.069654]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[85.446592, 85.785980, 89.299883, 106.221944, 370.657548]]
## 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": [
[
0.046033,
-0.238556,
-0.197903,
-0.193836,
-0.367265
],
[
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],
[
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0.09211,
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0.561708,
0.533822
],
[
0.354481,
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0.055624,
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],
[
-0.116366,
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-0.04654
],
[
-0.087857,
-0.161016,
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-0.177922,
-0.316863
]
],
"network.0.bias": [
-0.175666,
0.042677,
0.48975,
0.360889,
-0.16124,
0.281171
],
"network.2.weight": [
[
0.018362,
-0.378853,
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0.04274,
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0.374233
],
[
-0.160087,
-0.515603,
0.494578,
-0.679009,
-0.22695,
-0.359022
],
[
0.297974,
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0.430851,
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0.383204,
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],
[
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0.269782,
0.375253
],
[
0.009654,
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],
[
0.063047,
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0.156252,
0.519204,
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]
],
"network.2.bias": [
0.231462,
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-0.201089,
0.146004,
-0.209492
],
"network.4.weight": [
[
0.087039,
0.698392,
0.742467,
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0.369389,
-0.324791
],
[
0.412272,
0.085785,
-0.500266,
0.30288,
-0.396441,
-0.12879
],
[
-0.50577,
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-0.101607,
0.37695,
-0.640999,
0.268427
],
[
0.417542,
0.274509,
0.412917,
0.168396,
0.615831,
-0.261013
],
[
0.402591,
0.634171,
0.161809,
0.307412,
0.594975,
-0.316756
],
[
-0.077542,
0.108639,
0.386162,
-0.32743,
0.742839,
0.14082
]
],
"network.4.bias": [
0.107047,
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0.202141,
-0.263672,
-0.1389,
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],
"network.6.weight": [
[
0.474526,
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0.200282
],
[
0.188979,
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],
[
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],
[
0.607745,
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0.524046
],
[
0.560618,
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0.557074,
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],
[
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0.413046,
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0.128999
]
],
"network.6.bias": [
-0.122714,
-0.201804,
0.148439,
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-0.116649,
0.128753
],
"network.8.weight": [
[
0.056229,
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-0.689458,
-0.609793,
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-0.436896
]
],
"network.8.bias": [
0.444374
]
}
## Activation Signature
### 0
mean: [-1.835111, 1.237435, 3.034153, 0.708285, -1.953326, -1.093885]
std: [1.137206, 1.725175, 1.846285, 0.777324, 1.331360, 0.965470]
pca: [[-0.398513, 0.192074, -0.054084, 0.614578, -0.266634, -0.593776, 0.000000, 0.000000, 0.000000, 0.000000], [0.372863, 0.752198, 0.272769, -0.156525, -0.442992, 0.005143, 0.000000, 0.000000, 0.000000, 0.000000], [0.594592, -0.502555, 0.212225, 0.448787, -0.380140, 0.054253, 0.000000, 0.000000, 0.000000, 0.000000], [0.144841, 0.336071, 0.218716, 0.575528, 0.627424, 0.305528, 0.000000, 0.000000, 0.000000, 0.000000], [-0.451759, -0.161363, 0.858745, -0.083740, -0.094390, 0.128493, 0.000000, 0.000000, 0.000000, 0.000000], [-0.351505, 0.075906, -0.303895, 0.241120, -0.430800, 0.731165, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.636004, 19.945040, 20.505008, 20.585980, 165.159963], [26.950640, 27.437411, 27.439327, 29.313236, 111.369168], [29.283058, 31.036089, 31.249189, 31.876704, 273.073823], [11.845983, 12.303756, 12.986701, 13.502515, 63.745620], [21.283057, 22.502684, 26.953929, 27.938600, 175.799362], [14.863343, 17.799156, 18.189209, 18.955000, 98.449623]]
### 2
mean: [1.205843, 0.256586, 0.237850, -0.918118, 0.212478, 1.362774]
std: [0.991168, 1.560347, 1.428671, 0.497934, 1.177285, 1.360715]
pca: [[0.312794, 0.420638, 0.578479, -0.552924, 0.047702, -0.287376, 0.000000, 0.000000, 0.000000, 0.000000], [0.558971, 0.200661, -0.479742, 0.006668, 0.645096, 0.030667, 0.000000, 0.000000, 0.000000, 0.000000], [0.515323, 0.121134, -0.051565, -0.050471, -0.552446, 0.639817, 0.000000, 0.000000, 0.000000, 0.000000], [0.054690, -0.409621, 0.575408, 0.100629, 0.482906, 0.504777, 0.000000, 0.000000, 0.000000, 0.000000], [0.426389, 0.012764, 0.296020, 0.748983, -0.142678, -0.386095, 0.000000, 0.000000, 0.000000, 0.000000], [-0.373302, 0.774708, 0.117596, 0.347248, 0.151075, 0.321308, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.239142, 15.080135, 16.068752, 16.123483, 108.525853], [23.549769, 24.048275, 24.424724, 25.753710, 26.392996], [21.406463, 21.535072, 21.691645, 23.974496, 24.244449], [7.611577, 8.431076, 9.004440, 10.592387, 82.630641], [17.551490, 18.128477, 19.123020, 20.096236, 20.437593], [22.429232, 22.966833, 24.014629, 24.179574, 122.649674]]
### 4
mean: [0.985482, 0.275476, -0.782061, 0.733791, 0.847067, 0.590376]
std: [1.686575, 0.280582, 1.380114, 1.434699, 1.564766, 0.731840]
pca: [[0.540895, 0.068726, 0.647233, 0.417399, -0.243959, -0.223744, 0.000000, 0.000000, 0.000000, 0.000000], [-0.040294, -0.595621, -0.395747, 0.668089, -0.198158, 0.037235, 0.000000, 0.000000, 0.000000, 0.000000], [-0.442424, 0.204556, 0.357563, 0.277116, -0.167954, 0.727712, 0.000000, 0.000000, 0.000000, 0.000000], [0.460876, -0.104769, -0.209000, -0.399770, -0.630483, 0.419060, 0.000000, 0.000000, 0.000000, 0.000000], [0.502607, -0.162006, -0.009523, 0.057114, 0.688977, 0.493051, 0.000000, 0.000000, 0.000000, 0.000000], [0.212248, 0.749297, -0.502843, 0.373584, -0.028482, 0.016653, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.220952, 27.175383, 29.921687, 37.137167, 88.693329], [4.280564, 4.617882, 4.659929, 5.218003, 24.792834], [20.938762, 21.973679, 24.125934, 28.676342, 70.385481], [21.826866, 22.826452, 25.234123, 30.310351, 66.041147], [24.242860, 24.687591, 27.538692, 33.246892, 76.236020], [12.144565, 12.301784, 12.527578, 14.533199, 53.133804]]
### 6
mean: [0.800720, -0.673988, 2.400756, 2.399727, 2.008302, -0.586340]
std: [1.076272, 0.443927, 2.645387, 2.910135, 2.267480, 0.905052]
pca: [[0.225898, -0.141096, 0.258703, -0.208611, 0.876122, -0.225888, 0.000000, 0.000000, 0.000000, 0.000000], [-0.091567, 0.192517, 0.848621, -0.110502, -0.103729, 0.459808, 0.000000, 0.000000, 0.000000, 0.000000], [0.554185, 0.566001, 0.017751, -0.453080, -0.248480, -0.324319, 0.000000, 0.000000, 0.000000, 0.000000], [0.611104, -0.321019, -0.241170, -0.141001, 0.000454, 0.667423, 0.000000, 0.000000, 0.000000, 0.000000], [0.476442, 0.127859, 0.200133, 0.837139, 0.005604, -0.125571, 0.000000, 0.000000, 0.000000, 0.000000], [-0.181711, 0.709416, -0.338206, 0.135299, 0.399845, 0.413698, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.625873, 18.327655, 19.283112, 22.572182, 72.064846], [6.614682, 7.587294, 7.797761, 8.948672, 60.658945], [44.370677, 45.600914, 46.431311, 55.215272, 216.068056], [47.486430, 49.426124, 51.847667, 61.094735, 215.975451], [38.297908, 38.312363, 40.117101, 47.572420, 180.747215], [13.916071, 14.910540, 15.895545, 18.601057, 52.770577]]
### 8
mean: [-4.118417]
std: [5.069654]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[85.446592, 85.785980, 89.299883, 106.221944, 370.657548]]
## 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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"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": [[0.046033, -0.238556, -0.197903, -0.193836, -0.367265], [0.715211, 0.377871, -0.13216, -0.001075, -0.085519], [-0.100631, 0.09211, 0.305835, 0.561708, 0.533822], [0.354481, 0.110601, -0.181196, 0.055624, -0.02924], [-0.116366, -0.503142, -0.062782, -0.252696, -0.04654], [-0.087857, -0.161016, -0.095732, -0.177922, -0.316863]], "network.0.bias": [-0.175666, 0.042677, 0.48975, 0.360889, -0.16124, 0.281171], "network.2.weight": [[0.018362, -0.378853, 0.468175, 0.04274, -0.278559, 0.374233], [-0.160087, -0.515603, 0.494578, -0.679009, -0.22695, -0.359022], [0.297974, -0.564843, 0.430851, -0.449412, 0.383204, -0.085417], [-0.080535, -0.264948, -0.170948, 0.177147, 0.269782, 0.375253], [0.009654, -0.579019, 0.311327, -0.166774, -0.044527, -0.189507], [0.063047, 0.555621, 0.156252, 0.519204, -0.516427, -0.277701]], "network.2.bias": [0.231462, -0.059076, -0.000924, -0.201089, 0.146004, -0.209492], "network.4.weight": [[0.087039, 0.698392, 0.742467, -0.26373, 0.369389, -0.324791], [0.412272, 0.085785, -0.500266, 0.30288, -0.396441, -0.12879], [-0.50577, -0.380517, -0.101607, 0.37695, -0.640999, 0.268427], [0.417542, 0.274509, 0.412917, 0.168396, 0.615831, -0.261013], [0.402591, 0.634171, 0.161809, 0.307412, 0.594975, -0.316756], [-0.077542, 0.108639, 0.386162, -0.32743, 0.742839, 0.14082]], "network.4.bias": [0.107047, 0.425278, 0.202141, -0.263672, -0.1389, -0.262907], "network.6.weight": [[0.474526, -0.008403, -0.038647, -0.038726, 0.234192, 0.200282], [0.188979, -0.273248, 0.097503, 0.102978, -0.456469, -0.384024], [0.735073, -0.534577, 0.530756, 0.519828, 0.481855, 0.545435], [0.607745, 0.108846, -0.001801, 0.592614, 0.78492, 0.524046], [0.560618, 0.026685, 0.472906, 0.76462, 0.557074, -0.080277], [-0.083975, -0.299328, 0.413046, -0.335437, -0.326008, 0.128999]], "network.6.bias": [-0.122714, -0.201804, 0.148439, -0.166749, -0.116649, 0.128753], "network.8.weight": [[0.056229, -0.112427, -0.689458, -0.609793, -0.703936, -0.436896]], "network.8.bias": [0.444374]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6798345446586609, "train_acc": 0.57, "val_loss": 0.6999808549880981, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6635370552539825, "train_acc": 0.57, "val_loss": 0.6663954257965088, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6394020020961761, "train_acc": 0.57, "val_loss": 0.6163104176521301, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6041704416275024, "train_acc": 0.57, "val_loss": 0.5508486032485962, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5253497809171677, "train_acc": 0.78, "val_loss": 0.469858318567276, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.46693243086338043, "train_acc": 0.825, "val_loss": 0.43496939539909363, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4292924255132675, "train_acc": 0.935, "val_loss": 0.39974939823150635, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4093613177537918, "train_acc": 0.925, "val_loss": 0.37870171666145325, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.38013210892677307, "train_acc": 0.945, "val_loss": 0.362718403339386, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.36258573830127716, "train_acc": 0.95, "val_loss": 0.3422040045261383, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3340154141187668, "train_acc": 0.96, "val_loss": 0.3182985186576843, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.32138772308826447, "train_acc": 0.97, "val_loss": 0.31648141145706177, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3090160936117172, "train_acc": 0.94, "val_loss": 0.29995089769363403, "val_acc": 0.96}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6999808549880981, "final_val_loss": 0.6163104176521301, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5508486032485962, "final_val_loss": 0.29995089769363403, "initial_val_acc": 0.78, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 10}, "improvement": 0.48, "first_improvement_epoch": 2}}
|
9,652
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.44, "improved_accuracy": 0.84, "improvement": 0.39999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4062, "learning_rate": 0.07500462132152988, "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: 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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}
## Activation Signature
### 0
mean: [-1.609351, -2.360043, -1.465087, 1.458313, -0.543761, 1.777149, 0.621857]
std: [1.862862, 1.326951, 1.376740, 3.028722, 1.634941, 1.650241, 3.129552]
pca: [[0.022622, 0.434165, 0.490449, 0.557382, -0.501972, -0.048967, -0.073482, 0.000000, 0.000000, 0.000000], [0.103703, 0.055205, 0.505262, -0.125775, 0.302807, -0.110881, 0.781731, 0.000000, 0.000000, 0.000000], [0.208098, -0.028819, 0.446846, 0.156345, 0.642783, 0.259048, -0.501471, 0.000000, 0.000000, 0.000000], [-0.487839, 0.710957, -0.265406, 0.067328, 0.414463, -0.096369, 0.022670, 0.000000, 0.000000, 0.000000], [-0.406510, 0.031858, 0.174227, -0.249258, -0.192113, 0.834226, 0.091706, 0.000000, 0.000000, 0.000000], [0.314920, -0.043980, -0.435915, 0.620272, 0.146567, 0.427149, 0.346688, 0.000000, 0.000000, 0.000000], [0.665595, 0.547005, -0.116966, -0.444592, -0.113988, 0.174715, -0.053922, 0.000000, 0.000000, 0.000000]]
fourier: [[28.795282, 30.270549, 32.747183, 35.121451, 144.841540], [20.859361, 21.802882, 25.958933, 27.510336, 212.403827], [21.666427, 21.799297, 25.135797, 27.804554, 131.857790], [51.936841, 55.427983, 55.467460, 67.780434, 131.248211], [24.433017, 28.736742, 30.309125, 33.923376, 48.938474], [24.040238, 24.854536, 25.193431, 30.446459, 159.943420], [47.375085, 48.069752, 49.414138, 53.328855, 55.967137]]
### 2
mean: [1.134953, -0.878615, -1.177452, -2.616933, -1.954451, 2.809078, 4.016149]
std: [1.787918, 2.544423, 1.073748, 1.661803, 1.623117, 3.673435, 4.258540]
pca: [[0.259758, 0.007983, 0.357824, 0.136555, 0.825264, -0.315074, 0.073788, 0.000000, 0.000000, 0.000000], [-0.367418, 0.120316, -0.579322, 0.349733, 0.448992, 0.407069, 0.159068, 0.000000, 0.000000, 0.000000], [-0.141362, -0.335813, 0.159720, 0.720668, -0.281123, -0.271148, 0.412094, 0.000000, 0.000000, 0.000000], [-0.221787, -0.284897, 0.608568, -0.073716, 0.076919, 0.692332, 0.092813, 0.000000, 0.000000, 0.000000], [-0.190021, 0.708146, 0.344864, 0.413004, -0.115025, 0.037481, -0.397847, 0.000000, 0.000000, 0.000000], [0.540706, 0.456443, 0.017486, 0.002228, -0.134276, 0.275508, 0.636436, 0.000000, 0.000000, 0.000000], [0.632365, -0.285853, -0.145759, 0.404557, -0.033738, 0.323834, -0.476952, 0.000000, 0.000000, 0.000000]]
fourier: [[29.247723, 33.195360, 34.469168, 35.983128, 102.145761], [43.802051, 46.974061, 48.194930, 50.779385, 79.075393], [19.154349, 19.350438, 19.766607, 20.393560, 105.970723], [28.168398, 32.424817, 32.643855, 33.263229, 235.524002], [26.322826, 27.046489, 29.293150, 31.594455, 175.900578], [64.736667, 72.654821, 74.498968, 75.628059, 252.816950], [71.216868, 78.801591, 84.545262, 90.393142, 361.453433]]
### 4
mean: [-2.692144, 4.455389, -0.781822, -2.164476, 2.084625, -3.973145, 2.983730]
std: [2.150273, 5.401593, 0.594733, 2.147155, 3.340213, 3.952414, 4.279165]
pca: [[-0.233418, 0.396674, -0.089374, 0.284710, -0.523825, -0.054243, 0.649449, 0.000000, 0.000000, 0.000000], [0.591972, 0.302394, -0.217378, 0.663737, 0.044638, -0.031736, -0.259473, 0.000000, 0.000000, 0.000000], [-0.056168, 0.221891, 0.586814, 0.238822, 0.644065, 0.100677, 0.348235, 0.000000, 0.000000, 0.000000], [-0.233292, 0.330583, -0.369352, -0.076772, 0.161023, 0.810522, -0.105363, 0.000000, 0.000000, 0.000000], [0.363948, 0.401419, 0.563274, -0.360783, -0.415028, 0.220640, -0.195017, 0.000000, 0.000000, 0.000000], [-0.430586, 0.606545, -0.062111, -0.106111, 0.147650, -0.492214, -0.409275, 0.000000, 0.000000, 0.000000], [0.468660, 0.252296, -0.377958, -0.523488, 0.298023, -0.194968, 0.415912, 0.000000, 0.000000, 0.000000]]
fourier: [[37.110966, 40.418027, 41.605028, 45.387788, 242.292996], [91.702171, 106.475386, 109.009224, 111.252129, 400.985005], [10.061838, 10.632573, 11.024600, 11.214012, 70.364003], [35.966174, 40.621614, 41.080210, 45.105101, 194.802813], [55.281173, 64.276480, 67.511424, 68.929047, 187.616260], [67.940022, 75.533185, 76.475994, 82.937031, 357.583010], [73.815666, 83.435231, 87.804362, 88.709520, 268.535650]]
### 6
mean: [4.418714, -1.274929, -2.033246, 2.443684, 0.051781, 5.389972, -2.090156]
std: [5.789846, 1.398149, 1.857062, 2.995265, 0.543673, 6.959408, 2.155325]
pca: [[0.575398, 0.415932, -0.325583, -0.450444, 0.219767, 0.046015, -0.369592, 0.000000, 0.000000, 0.000000], [-0.138663, 0.279702, 0.700693, -0.219595, 0.311456, 0.516081, -0.001281, 0.000000, 0.000000, 0.000000], [-0.184571, 0.032742, -0.035137, -0.472821, 0.439974, -0.484960, 0.557946, 0.000000, 0.000000, 0.000000], [0.297600, -0.465449, 0.084902, 0.373030, 0.718425, -0.058319, -0.169986, 0.000000, 0.000000, 0.000000], [-0.053673, -0.076563, -0.544775, 0.044377, 0.174502, 0.681399, 0.444695, 0.000000, 0.000000, 0.000000], [0.691681, 0.133404, 0.280166, 0.225960, -0.218665, -0.037318, 0.570107, 0.000000, 0.000000, 0.000000], [-0.213899, 0.712316, -0.138958, 0.577182, 0.258302, -0.165104, 0.020619, 0.000000, 0.000000, 0.000000]]
fourier: [[96.553484, 113.453435, 116.420960, 120.691422, 397.684188], [23.386686, 27.746048, 27.944196, 28.393105, 114.743610], [31.222991, 36.472471, 37.448942, 38.604071, 182.992165], [50.805985, 59.081862, 60.539060, 61.821358, 219.931588], [8.339711, 9.294572, 10.429945, 11.080866, 11.572360], [116.810479, 136.471846, 140.320863, 145.010951, 485.097432], [36.968844, 42.705122, 43.705309, 44.070586, 188.114042]]
### 8
mean: [5.470210, -5.053164, -1.698754, -4.383085, 5.512352, 6.156425, -2.876197]
std: [7.275829, 5.949087, 1.505728, 5.037282, 7.325420, 7.844885, 3.024070]
pca: [[0.469350, 0.292660, -0.220219, -0.038920, -0.505071, 0.248339, 0.572085, 0.000000, 0.000000, 0.000000], [-0.383751, 0.525416, 0.112541, 0.301627, -0.283201, -0.613890, 0.126354, 0.000000, 0.000000, 0.000000], [-0.097057, 0.399875, 0.699191, -0.503803, 0.118315, 0.250704, 0.105562, 0.000000, 0.000000, 0.000000], [-0.324944, 0.248200, -0.013854, 0.446299, -0.244950, 0.674420, -0.344369, 0.000000, 0.000000, 0.000000], [0.472536, 0.586548, -0.261709, -0.098390, 0.243568, -0.111502, -0.531734, 0.000000, 0.000000, 0.000000], [0.506059, -0.086105, 0.554185, 0.630488, 0.165319, -0.044557, 0.050385, 0.000000, 0.000000, 0.000000], [-0.195068, 0.255603, -0.272333, 0.217511, 0.709962, 0.171328, 0.491670, 0.000000, 0.000000, 0.000000]]
fourier: [[121.871344, 142.585172, 146.419422, 151.885345, 492.318960], [99.925522, 116.389633, 119.047942, 124.504878, 454.784744], [25.600129, 29.615810, 30.270251, 31.223317, 152.887849], [84.508897, 98.550854, 100.916579, 105.420134, 394.477616], [122.606600, 143.623730, 147.687244, 152.794231, 496.111629], [131.204795, 153.456933, 157.029826, 164.246515, 554.078360], [50.671080, 59.061433, 60.336375, 63.449481, 258.857694]]
### 10
mean: [-6.426394]
std: [9.221448]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[154.109646, 180.748092, 184.718812, 193.047914, 578.375474]]
## 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: 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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"network.10.bias": [
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}
## Activation Signature
### 0
mean: [-1.609351, -2.360043, -1.465087, 1.458313, -0.543761, 1.777149, 0.621857]
std: [1.862862, 1.326951, 1.376740, 3.028722, 1.634941, 1.650241, 3.129552]
pca: [[0.022622, 0.434165, 0.490449, 0.557382, -0.501972, -0.048967, -0.073482, 0.000000, 0.000000, 0.000000], [0.103703, 0.055205, 0.505262, -0.125775, 0.302807, -0.110881, 0.781731, 0.000000, 0.000000, 0.000000], [0.208098, -0.028819, 0.446846, 0.156345, 0.642783, 0.259048, -0.501471, 0.000000, 0.000000, 0.000000], [-0.487839, 0.710957, -0.265406, 0.067328, 0.414463, -0.096369, 0.022670, 0.000000, 0.000000, 0.000000], [-0.406510, 0.031858, 0.174227, -0.249258, -0.192113, 0.834226, 0.091706, 0.000000, 0.000000, 0.000000], [0.314920, -0.043980, -0.435915, 0.620272, 0.146567, 0.427149, 0.346688, 0.000000, 0.000000, 0.000000], [0.665595, 0.547005, -0.116966, -0.444592, -0.113988, 0.174715, -0.053922, 0.000000, 0.000000, 0.000000]]
fourier: [[28.795282, 30.270549, 32.747183, 35.121451, 144.841540], [20.859361, 21.802882, 25.958933, 27.510336, 212.403827], [21.666427, 21.799297, 25.135797, 27.804554, 131.857790], [51.936841, 55.427983, 55.467460, 67.780434, 131.248211], [24.433017, 28.736742, 30.309125, 33.923376, 48.938474], [24.040238, 24.854536, 25.193431, 30.446459, 159.943420], [47.375085, 48.069752, 49.414138, 53.328855, 55.967137]]
### 2
mean: [1.134953, -0.878615, -1.177452, -2.616933, -1.954451, 2.809078, 4.016149]
std: [1.787918, 2.544423, 1.073748, 1.661803, 1.623117, 3.673435, 4.258540]
pca: [[0.259758, 0.007983, 0.357824, 0.136555, 0.825264, -0.315074, 0.073788, 0.000000, 0.000000, 0.000000], [-0.367418, 0.120316, -0.579322, 0.349733, 0.448992, 0.407069, 0.159068, 0.000000, 0.000000, 0.000000], [-0.141362, -0.335813, 0.159720, 0.720668, -0.281123, -0.271148, 0.412094, 0.000000, 0.000000, 0.000000], [-0.221787, -0.284897, 0.608568, -0.073716, 0.076919, 0.692332, 0.092813, 0.000000, 0.000000, 0.000000], [-0.190021, 0.708146, 0.344864, 0.413004, -0.115025, 0.037481, -0.397847, 0.000000, 0.000000, 0.000000], [0.540706, 0.456443, 0.017486, 0.002228, -0.134276, 0.275508, 0.636436, 0.000000, 0.000000, 0.000000], [0.632365, -0.285853, -0.145759, 0.404557, -0.033738, 0.323834, -0.476952, 0.000000, 0.000000, 0.000000]]
fourier: [[29.247723, 33.195360, 34.469168, 35.983128, 102.145761], [43.802051, 46.974061, 48.194930, 50.779385, 79.075393], [19.154349, 19.350438, 19.766607, 20.393560, 105.970723], [28.168398, 32.424817, 32.643855, 33.263229, 235.524002], [26.322826, 27.046489, 29.293150, 31.594455, 175.900578], [64.736667, 72.654821, 74.498968, 75.628059, 252.816950], [71.216868, 78.801591, 84.545262, 90.393142, 361.453433]]
### 4
mean: [-2.692144, 4.455389, -0.781822, -2.164476, 2.084625, -3.973145, 2.983730]
std: [2.150273, 5.401593, 0.594733, 2.147155, 3.340213, 3.952414, 4.279165]
pca: [[-0.233418, 0.396674, -0.089374, 0.284710, -0.523825, -0.054243, 0.649449, 0.000000, 0.000000, 0.000000], [0.591972, 0.302394, -0.217378, 0.663737, 0.044638, -0.031736, -0.259473, 0.000000, 0.000000, 0.000000], [-0.056168, 0.221891, 0.586814, 0.238822, 0.644065, 0.100677, 0.348235, 0.000000, 0.000000, 0.000000], [-0.233292, 0.330583, -0.369352, -0.076772, 0.161023, 0.810522, -0.105363, 0.000000, 0.000000, 0.000000], [0.363948, 0.401419, 0.563274, -0.360783, -0.415028, 0.220640, -0.195017, 0.000000, 0.000000, 0.000000], [-0.430586, 0.606545, -0.062111, -0.106111, 0.147650, -0.492214, -0.409275, 0.000000, 0.000000, 0.000000], [0.468660, 0.252296, -0.377958, -0.523488, 0.298023, -0.194968, 0.415912, 0.000000, 0.000000, 0.000000]]
fourier: [[37.110966, 40.418027, 41.605028, 45.387788, 242.292996], [91.702171, 106.475386, 109.009224, 111.252129, 400.985005], [10.061838, 10.632573, 11.024600, 11.214012, 70.364003], [35.966174, 40.621614, 41.080210, 45.105101, 194.802813], [55.281173, 64.276480, 67.511424, 68.929047, 187.616260], [67.940022, 75.533185, 76.475994, 82.937031, 357.583010], [73.815666, 83.435231, 87.804362, 88.709520, 268.535650]]
### 6
mean: [4.418714, -1.274929, -2.033246, 2.443684, 0.051781, 5.389972, -2.090156]
std: [5.789846, 1.398149, 1.857062, 2.995265, 0.543673, 6.959408, 2.155325]
pca: [[0.575398, 0.415932, -0.325583, -0.450444, 0.219767, 0.046015, -0.369592, 0.000000, 0.000000, 0.000000], [-0.138663, 0.279702, 0.700693, -0.219595, 0.311456, 0.516081, -0.001281, 0.000000, 0.000000, 0.000000], [-0.184571, 0.032742, -0.035137, -0.472821, 0.439974, -0.484960, 0.557946, 0.000000, 0.000000, 0.000000], [0.297600, -0.465449, 0.084902, 0.373030, 0.718425, -0.058319, -0.169986, 0.000000, 0.000000, 0.000000], [-0.053673, -0.076563, -0.544775, 0.044377, 0.174502, 0.681399, 0.444695, 0.000000, 0.000000, 0.000000], [0.691681, 0.133404, 0.280166, 0.225960, -0.218665, -0.037318, 0.570107, 0.000000, 0.000000, 0.000000], [-0.213899, 0.712316, -0.138958, 0.577182, 0.258302, -0.165104, 0.020619, 0.000000, 0.000000, 0.000000]]
fourier: [[96.553484, 113.453435, 116.420960, 120.691422, 397.684188], [23.386686, 27.746048, 27.944196, 28.393105, 114.743610], [31.222991, 36.472471, 37.448942, 38.604071, 182.992165], [50.805985, 59.081862, 60.539060, 61.821358, 219.931588], [8.339711, 9.294572, 10.429945, 11.080866, 11.572360], [116.810479, 136.471846, 140.320863, 145.010951, 485.097432], [36.968844, 42.705122, 43.705309, 44.070586, 188.114042]]
### 8
mean: [5.470210, -5.053164, -1.698754, -4.383085, 5.512352, 6.156425, -2.876197]
std: [7.275829, 5.949087, 1.505728, 5.037282, 7.325420, 7.844885, 3.024070]
pca: [[0.469350, 0.292660, -0.220219, -0.038920, -0.505071, 0.248339, 0.572085, 0.000000, 0.000000, 0.000000], [-0.383751, 0.525416, 0.112541, 0.301627, -0.283201, -0.613890, 0.126354, 0.000000, 0.000000, 0.000000], [-0.097057, 0.399875, 0.699191, -0.503803, 0.118315, 0.250704, 0.105562, 0.000000, 0.000000, 0.000000], [-0.324944, 0.248200, -0.013854, 0.446299, -0.244950, 0.674420, -0.344369, 0.000000, 0.000000, 0.000000], [0.472536, 0.586548, -0.261709, -0.098390, 0.243568, -0.111502, -0.531734, 0.000000, 0.000000, 0.000000], [0.506059, -0.086105, 0.554185, 0.630488, 0.165319, -0.044557, 0.050385, 0.000000, 0.000000, 0.000000], [-0.195068, 0.255603, -0.272333, 0.217511, 0.709962, 0.171328, 0.491670, 0.000000, 0.000000, 0.000000]]
fourier: [[121.871344, 142.585172, 146.419422, 151.885345, 492.318960], [99.925522, 116.389633, 119.047942, 124.504878, 454.784744], [25.600129, 29.615810, 30.270251, 31.223317, 152.887849], [84.508897, 98.550854, 100.916579, 105.420134, 394.477616], [122.606600, 143.623730, 147.687244, 152.794231, 496.111629], [131.204795, 153.456933, 157.029826, 164.246515, 554.078360], [50.671080, 59.061433, 60.336375, 63.449481, 258.857694]]
### 10
mean: [-6.426394]
std: [9.221448]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[154.109646, 180.748092, 184.718812, 193.047914, 578.375474]]
## 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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193.04791403561885, 578.3754743039608]}}, "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"}}
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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": [[0.064931, -0.613223, -0.306336, -0.344739, 0.546822], [-0.240776, -0.287533, -0.160667, -0.360178, -0.00115], [-0.436017, -0.25174, -0.100366, -0.219665, -0.09285], [1.134897, -0.140997, -0.48807, -0.106716, 1.047969], [0.767876, -0.088454, -0.215618, -0.300666, -0.164365], [-0.539477, 0.176334, 0.255975, 0.523138, 0.156671], [-1.20965, -0.067622, 0.095489, 0.098259, 1.270009]], "network.0.bias": [0.132038, -0.427048, 0.331464, 0.258803, -0.040276, 0.277408, 0.273901], "network.2.weight": [[0.433517, 0.30288, -0.219604, 0.224005, 0.431082, -0.352509, 0.667528], [0.132433, -0.191929, -0.007422, -0.461249, -0.05929, 0.645375, -1.001091], [-0.667938, -0.263152, -0.356872, -0.346826, -0.040452, -0.044409, 0.003386], [-0.463222, -0.017945, 0.178957, -0.560798, -0.222463, -0.399448, -0.028687], [-0.252223, 0.352222, -0.145202, -0.215319, 0.063777, -0.368567, -0.517591], [0.48277, -0.249688, -0.018167, 0.951715, 0.482812, -0.282349, 0.839741], [0.298572, -0.053437, -0.213144, 0.921587, 0.559748, -0.024721, 1.319028]], "network.2.bias": [0.16921, 0.220366, -0.284447, -0.572801, -0.099138, 0.019279, 0.132349], "network.4.weight": [[-0.076017, -0.395176, -0.33537, -0.015863, 0.006646, -0.222922, -0.327731], [0.564095, -0.36754, -0.421185, 0.111686, 0.129337, 0.835898, 0.323648], [0.286879, -0.318795, -0.348255, 0.340277, -0.317876, -0.35642, 0.036618], [-0.330463, -0.2929, -0.479636, -0.258172, 0.113797, -0.084068, -0.336813], [0.306892, -0.594867, 0.205843, 0.393902, 0.051955, 0.168157, 0.467414], [-0.353401, -0.623396, -0.596691, 0.005005, 0.081212, -0.468239, -0.464717], [-0.057128, -0.311886, -0.013152, -0.190237, -0.076304, 0.764809, 0.359518]], "network.4.bias": [-0.41732, 0.1788, -0.089408, 0.0157, -0.365718, 0.047704, -0.456118], "network.6.weight": [[0.066233, 0.468761, 0.12993, 0.160451, 0.490037, -0.326949, 0.436036], [-0.428921, -0.41202, 0.373197, -0.320273, -0.001364, -0.280041, 0.198242], [0.042063, -0.170753, 0.116888, -0.169276, -0.055601, -0.018076, -0.189197], [-0.000123, 0.411134, 0.336424, 0.344095, -0.12385, 0.438137, 0.287305], [0.541181, 0.12368, 0.316361, -0.01348, 0.005774, 0.338033, -0.297819], [0.205074, 0.510445, 0.310597, 0.627551, 0.32011, 0.49685, 0.794543], [-0.01351, -0.405957, -0.169761, 0.016835, 0.290818, 0.076226, -0.213116]], "network.6.bias": [-0.268511, -0.046088, -0.522532, -0.037979, 0.43395, -0.228184, -0.269094], "network.8.weight": [[0.538325, 0.3603, -0.377676, 0.169596, -0.104, 0.531124, -0.064277], [-0.061317, -0.284611, -0.087467, -0.525177, -0.556084, -0.598189, -0.00887], [0.098582, 0.04658, 0.029191, -0.553134, -0.147354, -0.06429, -0.065911], [-0.112565, 0.038255, -0.142009, -0.268835, -0.346506, -0.528993, -0.3363], [0.654666, 0.483265, 0.223843, 0.002955, -0.354502, 0.507236, -0.030004], [0.721029, 0.367709, 0.291178, 0.34411, 0.44431, 0.401184, 0.046158], [-0.074407, 0.196165, -0.278108, -0.161129, -0.373654, -0.316412, 0.339951]], "network.8.bias": [-0.239056, -0.082495, -0.397293, -0.241894, -0.11696, -0.235052, -0.323693], "network.10.weight": [[-0.446005, -0.07022, -0.203766, -0.192326, -0.256546, -0.530004, -0.153542]], "network.10.bias": [0.767717]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7047819793224335, "train_acc": 0.405, "val_loss": 0.6966209411621094, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6681473851203918, "train_acc": 0.585, "val_loss": 0.696580171585083, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6087000072002411, "train_acc": 0.585, "val_loss": 0.6644455194473267, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5665577352046967, "train_acc": 0.585, "val_loss": 0.5683119297027588, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6117225885391235, "train_acc": 0.57, "val_loss": 0.5364145040512085, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.49802254140377045, "train_acc": 0.8, "val_loss": 0.5338348746299744, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.526969701051712, "train_acc": 0.755, "val_loss": 0.5186216831207275, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5228034108877182, "train_acc": 0.7, "val_loss": 0.4848751723766327, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4961182773113251, "train_acc": 0.755, "val_loss": 0.47586867213249207, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.47011974453926086, "train_acc": 0.775, "val_loss": 0.45975303649902344, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.42529475688934326, "train_acc": 0.805, "val_loss": 0.4689708650112152, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.4082789719104767, "train_acc": 0.825, "val_loss": 0.4415931701660156, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.38225506246089935, "train_acc": 0.855, "val_loss": 0.3976823389530182, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.3625134825706482, "train_acc": 0.855, "val_loss": 0.3820008933544159, "val_acc": 0.84}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6966209411621094, "final_val_loss": 0.5683119297027588, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5364145040512085, "final_val_loss": 0.3820008933544159, "initial_val_acc": 0.76, "final_val_acc": 0.84, "best_val_acc": 0.84, "best_epoch": 11}, "improvement": 0.39999999999999997, "first_improvement_epoch": 3}}
|
9,653
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.46, "improved_accuracy": 0.9, "improvement": 0.44, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4608, "learning_rate": 0.06607920063396576, "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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.032829,
0.339812,
-0.035037
],
[
0.278924,
-0.401968,
0.0052,
0.127008,
-0.201535
],
[
0.091756,
-0.507737,
0.00813,
-0.655428,
-0.312629
]
],
"network.8.bias": [
-0.049186,
0.661715,
-0.311891,
0.376344,
0.145666
],
"network.10.weight": [
[
0.301105,
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0.302549
],
[
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0.439246,
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0.265679,
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],
[
0.008256,
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0.161413,
0.082278
],
[
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[
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],
"network.10.bias": [
-0.135729,
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],
"network.12.weight": [
[
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-0.294246,
0.41662,
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]
],
"network.12.bias": [
-0.240235
]
}
## Activation Signature
### 0
mean: [1.862196, -4.888537, 0.315414, -3.448490, 0.624455]
std: [1.902544, 3.231432, 1.440139, 2.471354, 2.078109]
pca: [[-0.411072, 0.004469, 0.495160, 0.165074, 0.747374, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.714593, -0.341211, -0.142743, 0.446898, 0.390947, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.097428, 0.523906, 0.379509, 0.670886, -0.349163, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.528829, 0.109837, 0.646586, -0.538360, -0.019265, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.176707, 0.772666, -0.415140, -0.181969, 0.407808, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.585684, 29.763396, 36.107992, 38.910302, 167.597679], [49.149811, 50.000666, 63.017086, 65.580502, 439.968372], [20.883380, 21.977058, 25.862884, 27.755149, 28.387283], [41.203724, 42.543533, 45.511632, 47.123481, 310.364100], [32.068172, 32.553509, 33.942347, 34.656236, 56.200921]]
### 2
mean: [0.058435, 0.782596, 0.687115, -0.542367, -1.206962]
std: [1.218852, 1.801315, 1.413959, 0.532467, 0.505645]
pca: [[0.460153, 0.001604, 0.664833, -0.161575, 0.565815, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.688459, -0.075115, -0.556736, -0.457300, -0.036104, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.539333, 0.289121, 0.034787, 0.743279, -0.268058, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.149547, 0.530872, -0.441137, 0.170469, 0.687131, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.032238, 0.793057, 0.228539, -0.428073, -0.366804, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.809646, 17.260952, 19.903533, 20.610955, 26.761831], [28.370003, 29.604926, 31.805372, 36.688953, 70.433634], [20.212784, 22.075804, 24.393317, 30.108594, 61.840305], [8.022461, 8.405352, 8.477957, 8.794940, 48.813038], [7.461131, 7.986940, 9.696961, 9.864391, 108.626613]]
### 4
mean: [1.042833, -1.277002, 1.336582, 0.250605, 0.044708]
std: [1.680784, 1.582279, 2.544568, 1.364710, 0.210466]
pca: [[0.454071, 0.329403, -0.558541, -0.611019, -0.001197, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.427440, 0.359021, 0.214255, -0.321388, 0.734305, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.687659, -0.299364, 0.560054, -0.162927, 0.311932, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.368367, 0.478069, -0.182806, 0.697916, 0.339487, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.050465, 0.666655, 0.543184, -0.098656, -0.498239, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.997704, 29.242299, 29.416321, 36.231446, 93.854949], [24.436017, 27.117636, 27.865803, 33.674406, 114.930191], [38.613780, 43.827839, 44.794525, 54.385842, 120.292402], [20.187558, 22.554493, 23.746719, 24.029174, 28.981900], [3.031589, 3.124466, 3.893538, 4.023704, 4.254133]]
### 6
mean: [-0.137351, 0.798227, 0.988383, -0.027960, 1.644186]
std: [0.755574, 2.030328, 2.254162, 0.363196, 3.731404]
pca: [[-0.153831, 0.658047, 0.635861, 0.313812, -0.201281, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.416050, -0.106845, -0.290165, 0.721210, -0.459507, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.461590, 0.678596, -0.423860, -0.100776, 0.369633, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.074134, -0.237969, 0.253931, 0.519225, 0.777045, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.764642, -0.196054, 0.517056, -0.318791, -0.088944, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.121736, 12.361570, 12.693930, 13.131992, 15.984585], [30.611850, 35.052088, 35.168295, 44.229882, 71.840469], [34.125533, 38.803665, 39.302022, 49.407491, 88.954466], [5.142238, 5.464499, 6.134707, 6.327778, 7.766144], [56.434581, 64.506941, 64.622985, 80.868963, 147.976686]]
### 8
mean: [2.437964, -0.254296, -0.335044, -0.268198, -0.805216]
std: [5.686720, 2.140871, 0.070362, 1.521554, 2.349275]
pca: [[0.850033, 0.335969, 0.271253, 0.246471, 0.173905, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.320012, 0.084240, -0.125708, 0.658776, 0.663858, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.008202, -0.564734, 0.473942, 0.551645, -0.389968, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.227435, 0.001283, 0.790113, -0.383625, 0.420506, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.351059, 0.749068, 0.248435, 0.231919, -0.447380, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[86.365205, 97.358837, 97.740120, 124.653556, 219.416720], [31.409268, 32.465522, 36.714671, 36.726133, 46.835774], [1.076484, 1.120797, 1.203107, 1.541796, 30.153957], [23.105887, 24.137774, 26.059120, 26.108552, 33.303937], [35.547164, 40.083911, 40.393728, 51.040449, 72.469484]]
### 10
mean: [0.452357, -0.060111, 0.187384, -2.039539, 0.435741]
std: [1.802976, 2.243738, 0.158350, 2.732029, 0.875998]
pca: [[-0.443947, -0.193624, 0.725946, 0.310538, 0.376816, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.552549, 0.199037, -0.137094, 0.390550, 0.695521, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.020805, 0.548164, 0.145747, 0.647641, -0.508332, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.672278, -0.501132, 0.430040, 0.045585, -0.331508, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.212627, 0.609325, 0.498028, -0.574038, 0.077211, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.267012, 30.887010, 30.954825, 40.317224, 40.712114], [33.483098, 33.909573, 38.499166, 38.517489, 50.034201], [2.660816, 2.690342, 2.751421, 2.771914, 16.864590], [41.557163, 46.395296, 46.566782, 59.579548, 183.558529], [13.287280, 15.096769, 15.246599, 20.092200, 39.216666]]
### 12
mean: [-0.728418]
std: [0.777338]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.992651, 13.169717, 13.186819, 18.059766, 65.557613]]
## 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.54445,
0.517779,
0.02234,
0.322308,
-0.089911
],
[
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-0.51018,
-0.609394,
-0.204003
],
[
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0.125247,
0.616276
],
[
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-0.032034,
-0.770379,
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0.125529
],
[
-0.743358,
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]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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],
[
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0.432272,
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0.80238
],
[
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0.506272,
-0.397035,
0.44047
],
[
-0.072392,
-0.612813,
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0.625895,
0.068783
],
[
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-0.115375
]
],
"network.2.bias": [
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0.500106,
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],
"network.4.weight": [
[
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],
[
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],
[
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0.92134,
0.701646,
0.04193,
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],
[
0.38411,
0.349604,
0.31083,
0.748933,
0.130181
],
[
0.310668,
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0.195067,
0.498285,
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]
],
"network.4.bias": [
0.162847,
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-0.034938,
-0.321949,
0.025733
],
"network.6.weight": [
[
0.411452,
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-0.234376,
-0.610322,
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],
[
0.257634,
0.585129,
0.400667,
0.420842,
0.102755
],
[
0.187432,
0.473274,
0.789643,
-0.082508,
0.090415
],
[
0.238652,
0.031648,
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0.230105,
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],
[
0.658645,
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0.802443,
-0.266226
]
],
"network.6.bias": [
0.025894,
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-0.178862,
-0.191342
],
"network.8.weight": [
[
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0.598811,
0.742927,
-0.035677,
0.758952
],
[
0.167638,
-0.203186,
-0.179308,
-0.191916,
-0.34226
],
[
0.431776,
0.038043,
-0.032829,
0.339812,
-0.035037
],
[
0.278924,
-0.401968,
0.0052,
0.127008,
-0.201535
],
[
0.091756,
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0.00813,
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-0.312629
]
],
"network.8.bias": [
-0.049186,
0.661715,
-0.311891,
0.376344,
0.145666
],
"network.10.weight": [
[
0.301105,
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-0.476477,
0.302549
],
[
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0.439246,
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0.265679,
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],
[
0.008256,
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-0.500175,
0.161413,
0.082278
],
[
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-0.000405,
0.31976
],
[
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0.030708,
0.735166,
0.5405
]
],
"network.10.bias": [
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0.624599,
-0.181069,
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0.478952
],
"network.12.weight": [
[
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0.41662,
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]
],
"network.12.bias": [
-0.240235
]
}
## Activation Signature
### 0
mean: [1.862196, -4.888537, 0.315414, -3.448490, 0.624455]
std: [1.902544, 3.231432, 1.440139, 2.471354, 2.078109]
pca: [[-0.411072, 0.004469, 0.495160, 0.165074, 0.747374, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.714593, -0.341211, -0.142743, 0.446898, 0.390947, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.097428, 0.523906, 0.379509, 0.670886, -0.349163, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.528829, 0.109837, 0.646586, -0.538360, -0.019265, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.176707, 0.772666, -0.415140, -0.181969, 0.407808, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.585684, 29.763396, 36.107992, 38.910302, 167.597679], [49.149811, 50.000666, 63.017086, 65.580502, 439.968372], [20.883380, 21.977058, 25.862884, 27.755149, 28.387283], [41.203724, 42.543533, 45.511632, 47.123481, 310.364100], [32.068172, 32.553509, 33.942347, 34.656236, 56.200921]]
### 2
mean: [0.058435, 0.782596, 0.687115, -0.542367, -1.206962]
std: [1.218852, 1.801315, 1.413959, 0.532467, 0.505645]
pca: [[0.460153, 0.001604, 0.664833, -0.161575, 0.565815, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.688459, -0.075115, -0.556736, -0.457300, -0.036104, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.539333, 0.289121, 0.034787, 0.743279, -0.268058, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.149547, 0.530872, -0.441137, 0.170469, 0.687131, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.032238, 0.793057, 0.228539, -0.428073, -0.366804, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.809646, 17.260952, 19.903533, 20.610955, 26.761831], [28.370003, 29.604926, 31.805372, 36.688953, 70.433634], [20.212784, 22.075804, 24.393317, 30.108594, 61.840305], [8.022461, 8.405352, 8.477957, 8.794940, 48.813038], [7.461131, 7.986940, 9.696961, 9.864391, 108.626613]]
### 4
mean: [1.042833, -1.277002, 1.336582, 0.250605, 0.044708]
std: [1.680784, 1.582279, 2.544568, 1.364710, 0.210466]
pca: [[0.454071, 0.329403, -0.558541, -0.611019, -0.001197, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.427440, 0.359021, 0.214255, -0.321388, 0.734305, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.687659, -0.299364, 0.560054, -0.162927, 0.311932, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.368367, 0.478069, -0.182806, 0.697916, 0.339487, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.050465, 0.666655, 0.543184, -0.098656, -0.498239, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.997704, 29.242299, 29.416321, 36.231446, 93.854949], [24.436017, 27.117636, 27.865803, 33.674406, 114.930191], [38.613780, 43.827839, 44.794525, 54.385842, 120.292402], [20.187558, 22.554493, 23.746719, 24.029174, 28.981900], [3.031589, 3.124466, 3.893538, 4.023704, 4.254133]]
### 6
mean: [-0.137351, 0.798227, 0.988383, -0.027960, 1.644186]
std: [0.755574, 2.030328, 2.254162, 0.363196, 3.731404]
pca: [[-0.153831, 0.658047, 0.635861, 0.313812, -0.201281, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.416050, -0.106845, -0.290165, 0.721210, -0.459507, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.461590, 0.678596, -0.423860, -0.100776, 0.369633, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.074134, -0.237969, 0.253931, 0.519225, 0.777045, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.764642, -0.196054, 0.517056, -0.318791, -0.088944, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.121736, 12.361570, 12.693930, 13.131992, 15.984585], [30.611850, 35.052088, 35.168295, 44.229882, 71.840469], [34.125533, 38.803665, 39.302022, 49.407491, 88.954466], [5.142238, 5.464499, 6.134707, 6.327778, 7.766144], [56.434581, 64.506941, 64.622985, 80.868963, 147.976686]]
### 8
mean: [2.437964, -0.254296, -0.335044, -0.268198, -0.805216]
std: [5.686720, 2.140871, 0.070362, 1.521554, 2.349275]
pca: [[0.850033, 0.335969, 0.271253, 0.246471, 0.173905, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.320012, 0.084240, -0.125708, 0.658776, 0.663858, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.008202, -0.564734, 0.473942, 0.551645, -0.389968, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.227435, 0.001283, 0.790113, -0.383625, 0.420506, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.351059, 0.749068, 0.248435, 0.231919, -0.447380, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[86.365205, 97.358837, 97.740120, 124.653556, 219.416720], [31.409268, 32.465522, 36.714671, 36.726133, 46.835774], [1.076484, 1.120797, 1.203107, 1.541796, 30.153957], [23.105887, 24.137774, 26.059120, 26.108552, 33.303937], [35.547164, 40.083911, 40.393728, 51.040449, 72.469484]]
### 10
mean: [0.452357, -0.060111, 0.187384, -2.039539, 0.435741]
std: [1.802976, 2.243738, 0.158350, 2.732029, 0.875998]
pca: [[-0.443947, -0.193624, 0.725946, 0.310538, 0.376816, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.552549, 0.199037, -0.137094, 0.390550, 0.695521, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.020805, 0.548164, 0.145747, 0.647641, -0.508332, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.672278, -0.501132, 0.430040, 0.045585, -0.331508, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.212627, 0.609325, 0.498028, -0.574038, 0.077211, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.267012, 30.887010, 30.954825, 40.317224, 40.712114], [33.483098, 33.909573, 38.499166, 38.517489, 50.034201], [2.660816, 2.690342, 2.751421, 2.771914, 16.864590], [41.557163, 46.395296, 46.566782, 59.579548, 183.558529], [13.287280, 15.096769, 15.246599, 20.092200, 39.216666]]
### 12
mean: [-0.728418]
std: [0.777338]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.992651, 13.169717, 13.186819, 18.059766, 65.557613]]
## 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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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6810218691825867, "train_acc": 0.58, "val_loss": 0.7111671566963196, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6771643161773682, "train_acc": 0.58, "val_loss": 0.716339111328125, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.675117552280426, "train_acc": 0.58, "val_loss": 0.6952004432678223, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6614275574684143, "train_acc": 0.58, "val_loss": 0.6502142548561096, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6328426003456116, "train_acc": 0.54, "val_loss": 0.4160856008529663, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5596512854099274, "train_acc": 0.74, "val_loss": 0.45200181007385254, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5153574347496033, "train_acc": 0.725, "val_loss": 0.4287775456905365, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.48727697134017944, "train_acc": 0.74, "val_loss": 0.3779655396938324, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.49618032574653625, "train_acc": 0.74, "val_loss": 0.33858001232147217, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.5002113729715347, "train_acc": 0.755, "val_loss": 0.3265661597251892, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.4851366877555847, "train_acc": 0.755, "val_loss": 0.34111225605010986, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.47861409187316895, "train_acc": 0.745, "val_loss": 0.37027430534362793, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.46229325234889984, "train_acc": 0.755, "val_loss": 0.3580784201622009, "val_acc": 0.9}], "summary": {"total_epochs": 13, "degraded_epochs": 4, "improved_epochs": 9, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.7111671566963196, "final_val_loss": 0.6502142548561096, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.4160856008529663, "final_val_loss": 0.3580784201622009, "initial_val_acc": 0.9, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 4}, "improvement": 0.44, "first_improvement_epoch": 3}}
|
9,654
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.6, "improved_accuracy": 0.8, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9467, "learning_rate": 0.04393082827111912, "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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}
## Activation Signature
### 0
mean: [0.773642, 0.733651, -2.169598, 0.180008, 0.058665]
std: [1.484258, 1.706494, 1.707633, 1.163167, 1.042439]
pca: [[0.570282, -0.043991, -0.472726, -0.399118, 0.538589, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.554677, -0.544422, -0.405971, 0.277787, 0.392377, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.372686, 0.821617, -0.151338, 0.088111, 0.394188, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.469720, 0.032787, 0.115072, 0.843507, 0.231393, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.087059, -0.159815, 0.758665, -0.210408, 0.589097, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.420992, 21.637951, 22.393221, 26.034597, 69.627738], [26.035510, 26.503563, 29.651516, 36.666977, 66.028604], [27.027613, 27.478656, 27.633689, 28.489307, 195.263784], [16.262113, 16.931309, 17.561762, 19.651818, 24.159785], [16.370288, 17.799559, 18.072824, 22.762584, 22.941975]]
### 2
mean: [0.426851, 0.208602, -0.181607, 0.271208, -1.082777]
std: [0.461977, 1.462864, 0.641877, 1.662688, 0.959848]
pca: [[0.180303, 0.029873, 0.793541, 0.499611, -0.295433, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.587705, 0.197608, -0.409129, 0.600682, 0.295547, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.257338, -0.035548, 0.444106, -0.327514, 0.792476, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.667274, 0.296703, 0.011743, -0.531159, -0.429471, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.332590, 0.933147, 0.074420, 0.013213, 0.113614, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.868258, 7.156101, 7.769060, 8.267433, 38.416602], [21.507755, 21.816711, 21.945235, 24.586484, 26.653290], [10.010103, 10.535888, 10.563078, 10.946764, 16.344647], [24.408719, 24.411489, 25.110308, 27.577800, 30.300195], [14.638500, 15.978227, 16.179638, 19.979755, 97.449939]]
### 4
mean: [-0.157610, -0.192987, 0.205102, 0.665674, -0.044076]
std: [0.824205, 1.438918, 1.092270, 1.488120, 0.984677]
pca: [[-0.308448, 0.259724, 0.908596, -0.102823, 0.035833, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.539085, 0.513984, -0.302453, 0.397104, 0.442763, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.409442, -0.121256, 0.119031, -0.176445, 0.878836, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.557143, 0.801334, -0.047932, -0.129471, -0.168508, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.369048, -0.107353, 0.257895, 0.885347, -0.043925, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.623029, 13.658896, 14.184894, 14.722659, 15.838494], [20.116507, 23.490382, 24.124044, 25.452507, 27.696065], [17.953087, 18.390832, 18.459209, 19.233964, 20.844099], [24.765340, 25.364420, 25.724086, 27.653045, 59.910661], [13.738228, 16.092434, 16.421787, 17.352207, 18.803382]]
### 6
mean: [0.678135, 0.337806, 0.282123, 0.372115, 0.438989]
std: [1.269993, 0.373990, 2.147123, 1.766285, 1.729282]
pca: [[-0.359515, -0.376169, 0.765706, -0.323867, 0.195066, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.099980, 0.662845, -0.012750, -0.273691, 0.689617, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.608370, -0.444280, -0.235594, -0.536963, 0.297770, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.500216, 0.466368, 0.464093, -0.290241, -0.482351, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.490329, -0.065191, 0.377683, 0.669055, 0.406261, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.919798, 21.667310, 22.021040, 23.672522, 61.032188], [5.600356, 5.676608, 5.918637, 7.398326, 30.402559], [30.277141, 35.057275, 35.583602, 37.157539, 41.438608], [28.995907, 29.866912, 30.971993, 33.243138, 33.490347], [28.256342, 28.886148, 30.125181, 33.020613, 39.509003]]
### 8
mean: [-0.884933, -0.981396, 1.418272, 2.126860, 1.743770]
std: [1.082702, 0.452569, 1.110669, 1.937183, 1.429010]
pca: [[-0.374093, -0.209297, 0.790135, 0.427767, -0.094608, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.142157, 0.895609, -0.028189, 0.396787, 0.139430, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.383734, -0.231929, -0.330555, 0.757286, -0.340893, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.669632, 0.293635, 0.471834, -0.237700, -0.431559, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.494152, -0.118601, 0.207359, 0.172023, 0.818020, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.503737, 16.693989, 17.190099, 18.549794, 79.643985], [6.297710, 6.426098, 7.085205, 8.666208, 88.325645], [16.510533, 16.967407, 17.894314, 18.594247, 127.644460], [29.703578, 29.923070, 30.849260, 33.035705, 191.417411], [21.451545, 22.243482, 22.748524, 24.089004, 156.939325]]
### 10
mean: [3.523051, 4.463509, 2.451702, 3.844919, 1.847720]
std: [2.153236, 3.011550, 1.947155, 2.740729, 1.732758]
pca: [[0.406593, 0.785369, -0.388238, -0.141808, -0.216885, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.569136, 0.124804, 0.441528, 0.077397, 0.677917, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.367975, -0.140151, 0.013707, 0.833562, -0.387220, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.517816, -0.577162, -0.559506, -0.284641, 0.068433, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.327455, -0.121909, 0.584028, -0.445034, -0.582037, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.459447, 32.000928, 35.468472, 35.717938, 317.074605], [43.289275, 44.328071, 48.917077, 51.258729, 401.715773], [28.131636, 28.457093, 31.460665, 33.409365, 220.653184], [39.744463, 39.768006, 43.990682, 47.465554, 346.042700], [25.084535, 25.409908, 27.999274, 29.747913, 166.294797]]
### 12
mean: [-10.170696]
std: [7.369794]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[106.161818, 106.170337, 117.943767, 128.065239, 915.362683]]
## 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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[
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"network.0.bias": [
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## Activation Signature
### 0
mean: [0.773642, 0.733651, -2.169598, 0.180008, 0.058665]
std: [1.484258, 1.706494, 1.707633, 1.163167, 1.042439]
pca: [[0.570282, -0.043991, -0.472726, -0.399118, 0.538589, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.554677, -0.544422, -0.405971, 0.277787, 0.392377, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.372686, 0.821617, -0.151338, 0.088111, 0.394188, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.469720, 0.032787, 0.115072, 0.843507, 0.231393, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.087059, -0.159815, 0.758665, -0.210408, 0.589097, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.420992, 21.637951, 22.393221, 26.034597, 69.627738], [26.035510, 26.503563, 29.651516, 36.666977, 66.028604], [27.027613, 27.478656, 27.633689, 28.489307, 195.263784], [16.262113, 16.931309, 17.561762, 19.651818, 24.159785], [16.370288, 17.799559, 18.072824, 22.762584, 22.941975]]
### 2
mean: [0.426851, 0.208602, -0.181607, 0.271208, -1.082777]
std: [0.461977, 1.462864, 0.641877, 1.662688, 0.959848]
pca: [[0.180303, 0.029873, 0.793541, 0.499611, -0.295433, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.587705, 0.197608, -0.409129, 0.600682, 0.295547, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.257338, -0.035548, 0.444106, -0.327514, 0.792476, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.667274, 0.296703, 0.011743, -0.531159, -0.429471, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.332590, 0.933147, 0.074420, 0.013213, 0.113614, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.868258, 7.156101, 7.769060, 8.267433, 38.416602], [21.507755, 21.816711, 21.945235, 24.586484, 26.653290], [10.010103, 10.535888, 10.563078, 10.946764, 16.344647], [24.408719, 24.411489, 25.110308, 27.577800, 30.300195], [14.638500, 15.978227, 16.179638, 19.979755, 97.449939]]
### 4
mean: [-0.157610, -0.192987, 0.205102, 0.665674, -0.044076]
std: [0.824205, 1.438918, 1.092270, 1.488120, 0.984677]
pca: [[-0.308448, 0.259724, 0.908596, -0.102823, 0.035833, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.539085, 0.513984, -0.302453, 0.397104, 0.442763, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.409442, -0.121256, 0.119031, -0.176445, 0.878836, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.557143, 0.801334, -0.047932, -0.129471, -0.168508, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.369048, -0.107353, 0.257895, 0.885347, -0.043925, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.623029, 13.658896, 14.184894, 14.722659, 15.838494], [20.116507, 23.490382, 24.124044, 25.452507, 27.696065], [17.953087, 18.390832, 18.459209, 19.233964, 20.844099], [24.765340, 25.364420, 25.724086, 27.653045, 59.910661], [13.738228, 16.092434, 16.421787, 17.352207, 18.803382]]
### 6
mean: [0.678135, 0.337806, 0.282123, 0.372115, 0.438989]
std: [1.269993, 0.373990, 2.147123, 1.766285, 1.729282]
pca: [[-0.359515, -0.376169, 0.765706, -0.323867, 0.195066, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.099980, 0.662845, -0.012750, -0.273691, 0.689617, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.608370, -0.444280, -0.235594, -0.536963, 0.297770, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.500216, 0.466368, 0.464093, -0.290241, -0.482351, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.490329, -0.065191, 0.377683, 0.669055, 0.406261, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.919798, 21.667310, 22.021040, 23.672522, 61.032188], [5.600356, 5.676608, 5.918637, 7.398326, 30.402559], [30.277141, 35.057275, 35.583602, 37.157539, 41.438608], [28.995907, 29.866912, 30.971993, 33.243138, 33.490347], [28.256342, 28.886148, 30.125181, 33.020613, 39.509003]]
### 8
mean: [-0.884933, -0.981396, 1.418272, 2.126860, 1.743770]
std: [1.082702, 0.452569, 1.110669, 1.937183, 1.429010]
pca: [[-0.374093, -0.209297, 0.790135, 0.427767, -0.094608, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.142157, 0.895609, -0.028189, 0.396787, 0.139430, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.383734, -0.231929, -0.330555, 0.757286, -0.340893, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.669632, 0.293635, 0.471834, -0.237700, -0.431559, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.494152, -0.118601, 0.207359, 0.172023, 0.818020, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.503737, 16.693989, 17.190099, 18.549794, 79.643985], [6.297710, 6.426098, 7.085205, 8.666208, 88.325645], [16.510533, 16.967407, 17.894314, 18.594247, 127.644460], [29.703578, 29.923070, 30.849260, 33.035705, 191.417411], [21.451545, 22.243482, 22.748524, 24.089004, 156.939325]]
### 10
mean: [3.523051, 4.463509, 2.451702, 3.844919, 1.847720]
std: [2.153236, 3.011550, 1.947155, 2.740729, 1.732758]
pca: [[0.406593, 0.785369, -0.388238, -0.141808, -0.216885, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.569136, 0.124804, 0.441528, 0.077397, 0.677917, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.367975, -0.140151, 0.013707, 0.833562, -0.387220, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.517816, -0.577162, -0.559506, -0.284641, 0.068433, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.327455, -0.121909, 0.584028, -0.445034, -0.582037, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.459447, 32.000928, 35.468472, 35.717938, 317.074605], [43.289275, 44.328071, 48.917077, 51.258729, 401.715773], [28.131636, 28.457093, 31.460665, 33.409365, 220.653184], [39.744463, 39.768006, 43.990682, 47.465554, 346.042700], [25.084535, 25.409908, 27.999274, 29.747913, 166.294797]]
### 12
mean: [-10.170696]
std: [7.369794]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[106.161818, 106.170337, 117.943767, 128.065239, 915.362683]]
## 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": [25.08453529481279, 25.409907685273694, 27.999273665075123, 29.74791261650164, 166.2947966903448]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "12": {"neuron_profiles": {"0": {"mean": -10.170696258544922, "std": 7.369793891906738, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [106.16181787406889, 106.17033707301641, 117.94376663961665, 128.0652392353235, 915.3626830279827]}}, "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": [[-0.51234, -0.106432, -0.028063, 0.091259, 0.607927], [0.034943, 0.506711, -0.002502, 0.342465, -0.620972], [-0.048484, 0.057939, -0.132918, -0.635261, -0.456608], [-0.056542, -0.115525, -0.161576, -0.044385, 0.628079], [0.537207, -0.312949, 0.080529, 0.194305, -0.117984]], "network.0.bias": [0.718307, -0.196478, -0.011756, 0.118948, -0.478976], "network.2.weight": [[0.209705, -0.10451, 0.614609, 0.108112, -0.194484], [0.611578, -0.549777, 0.092219, 0.35698, -0.178292], [0.259963, -0.161332, 0.454448, 0.228524, -0.15877], [0.620925, -0.617154, 0.406487, 0.463592, -0.341229], [-0.517254, -0.056037, 0.016132, -0.492499, -0.222599]], "network.2.bias": [0.388019, 0.113338, -0.279142, 0.261257, -0.26601], "network.4.weight": [[-0.720443, -0.027161, -0.076513, -0.393084, 0.064141], [-0.903882, -0.275178, -0.94679, -0.300495, -0.619952], [0.521816, 0.234746, 0.495596, 0.337265, 0.427276], [0.128335, 0.656472, -0.112441, 0.621674, 0.547463], [0.398981, 0.463466, 0.495082, 0.113124, -0.255261]], "network.4.bias": [0.378989, 0.44177, -0.301306, -0.080959, -0.572189], "network.6.weight": [[0.137119, -0.855431, 0.320005, 0.489099, 0.14844], [0.290694, 0.053929, 0.134695, 0.000259, 0.308002], [0.585598, 0.494572, -0.694108, -0.444825, -0.834771], [0.574117, 0.930014, -0.906444, -0.288929, -0.306047], [0.135396, 0.836846, -0.541815, -0.322203, -0.708481]], "network.6.bias": [0.392631, 0.194727, 0.820739, 0.668121, 0.77555], "network.8.weight": [[0.462069, -0.433917, -0.247442, -0.402498, -0.533816], [-0.122149, 0.016898, 0.02828, -0.33598, -0.605687], [-0.218631, 0.066926, 0.757502, 0.251027, 0.515563], [-0.421462, -0.256042, 0.798151, 0.70211, 0.937399], [-0.221412, -0.202545, 0.680517, 0.459082, 0.81853]], "network.8.bias": [-0.129127, -0.174397, 0.303554, 0.496623, 0.352506], "network.10.weight": [[-0.642928, -0.525274, 0.411064, 0.647398, 0.375443], [-0.533417, -0.039563, 0.52728, 0.676412, 0.90895], [-0.269284, 0.07256, 0.149805, 0.517494, 0.651202], [-0.241631, -0.08483, 0.634056, 0.886422, 0.4052], [-0.246648, 0.269928, 0.390075, 0.453045, 0.380069]], "network.10.bias": [0.78794, 0.606689, -0.06056, 0.230414, -0.349591], "network.12.weight": [[-0.690644, -0.797959, -0.519961, -0.670655, -0.409622]], "network.12.bias": [0.45906]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6964496076107025, "train_acc": 0.47, "val_loss": 0.6731812953948975, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6698412001132965, "train_acc": 0.555, "val_loss": 0.6118524074554443, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5975473821163177, "train_acc": 0.63, "val_loss": 0.488830029964447, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4806665778160095, "train_acc": 0.825, "val_loss": 0.42129597067832947, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.41330136358737946, "train_acc": 0.835, "val_loss": 0.45085784792900085, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4123128652572632, "train_acc": 0.83, "val_loss": 0.3981011211872101, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3879749923944473, "train_acc": 0.83, "val_loss": 0.40120819211006165, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4023687541484833, "train_acc": 0.815, "val_loss": 0.3903450071811676, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.41762205958366394, "train_acc": 0.815, "val_loss": 0.37979423999786377, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.39552924036979675, "train_acc": 0.815, "val_loss": 0.3754543960094452, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.3740479052066803, "train_acc": 0.825, "val_loss": 0.36897704005241394, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.35977812111377716, "train_acc": 0.845, "val_loss": 0.42178580164909363, "val_acc": 0.8}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6731812953948975, "final_val_loss": 0.6118524074554443, "initial_val_acc": 0.6, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.488830029964447, "final_val_loss": 0.42178580164909363, "initial_val_acc": 0.78, "final_val_acc": 0.8, "best_val_acc": 0.8, "best_epoch": 7}, "improvement": 0.20000000000000007, "first_improvement_epoch": 1}}
|
9,655
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.4, "improved_accuracy": 0.88, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4440, "learning_rate": 0.05059081430940101, "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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-0.266131,
-0.601376,
-0.358344
],
[
0.364389,
-0.156914,
-0.242669,
-0.38953,
0.614464,
-0.342814,
-0.22395,
0.013384
],
[
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0.367222,
-0.378264,
-0.005221,
-0.086155,
-0.08343,
0.151949
]
],
"network.6.bias": [
0.525321,
-0.090078,
-0.160696,
-0.222591,
0.203714,
0.671319,
0.427215,
-0.208514
],
"network.8.weight": [
[
-0.713737,
0.381826,
0.622659,
0.306526,
-0.298016,
-0.710551,
-0.538925,
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]
],
"network.8.bias": [
-0.654247
]
}
## Activation Signature
### 0
mean: [0.757052, -0.083684, 0.273489, 0.821305, -0.413071, 0.740176, 0.519799, -2.944555]
std: [1.688240, 1.560173, 1.303585, 2.149200, 1.370693, 2.060970, 1.710771, 2.046720]
pca: [[0.329650, -0.412127, 0.113575, -0.220941, 0.585073, 0.391063, -0.183128, -0.361927, 0.000000, 0.000000], [0.105794, 0.367140, 0.643943, -0.231615, -0.282597, -0.060622, 0.084255, -0.543206, 0.000000, 0.000000], [0.076497, 0.342144, 0.494174, -0.071995, 0.430059, -0.086194, -0.253171, 0.609278, 0.000000, 0.000000], [0.570611, -0.203558, -0.152134, -0.331189, -0.183344, -0.629503, -0.258158, 0.060012, 0.000000, 0.000000], [0.104200, 0.370984, -0.193851, 0.567575, 0.128413, -0.107282, -0.586263, -0.346539, 0.000000, 0.000000], [0.552041, 0.091212, 0.033451, 0.463199, 0.204172, -0.104007, 0.646889, 0.017041, 0.000000, 0.000000], [0.474567, 0.090842, -0.019113, 0.043837, -0.500167, 0.634104, -0.195534, 0.271585, 0.000000, 0.000000], [0.088712, 0.618596, -0.515774, -0.494017, 0.225653, 0.123599, 0.167991, -0.070542, 0.000000, 0.000000]]
fourier: [[27.093166, 27.448854, 28.710761, 30.703593, 68.134652], [22.505447, 24.784604, 28.685791, 30.230743, 32.526695], [23.151876, 24.614007, 25.095238, 27.322097, 28.309623], [31.192022, 32.530713, 33.981249, 42.772591, 73.917488], [21.220406, 21.523551, 23.497530, 28.992662, 37.176357], [32.202171, 32.713121, 32.867836, 40.231389, 66.615846], [25.227014, 26.918901, 28.972432, 29.505585, 46.781895], [31.462747, 37.075240, 38.298895, 39.115823, 265.009914]]
### 2
mean: [-1.093453, -0.561180, -0.816644, -1.432383, 0.208695, 0.915496, -0.840118, 1.148174]
std: [0.878228, 0.911790, 1.218029, 1.303301, 0.893658, 0.989012, 1.381050, 2.806026]
pca: [[-0.226405, -0.001175, -0.028034, 0.651150, 0.688111, -0.209557, 0.068141, -0.043634, 0.000000, 0.000000], [-0.227740, 0.213904, -0.170522, 0.183527, -0.217368, 0.425556, 0.681602, -0.383003, 0.000000, 0.000000], [-0.314544, -0.064215, -0.270692, -0.084127, 0.194898, 0.614312, -0.586222, -0.239928, 0.000000, 0.000000], [-0.325087, -0.309386, -0.210055, 0.423834, -0.607083, -0.342603, -0.249583, -0.163163, 0.000000, 0.000000], [-0.158531, -0.327340, 0.877834, 0.122102, -0.064907, 0.245630, -0.011948, -0.132382, 0.000000, 0.000000], [-0.049600, 0.844639, 0.259399, 0.258954, -0.210168, 0.009729, -0.314994, 0.079328, 0.000000, 0.000000], [-0.359738, -0.093407, -0.071412, 0.113542, -0.101176, 0.283996, 0.132944, 0.857501, 0.000000, 0.000000], [0.731609, -0.158457, -0.098786, 0.510638, -0.118743, 0.373028, -0.088253, 0.089952, 0.000000, 0.000000]]
fourier: [[14.995870, 16.808997, 16.825294, 17.131618, 98.410793], [14.578357, 16.747411, 17.304866, 18.186600, 50.506227], [20.462507, 20.883272, 21.318535, 24.311047, 73.497981], [21.451072, 22.075391, 22.611600, 25.007877, 128.914444], [13.153136, 15.080894, 15.829880, 18.782585, 18.942578], [16.347127, 16.621595, 18.356742, 21.632837, 82.394606], [22.786484, 24.077358, 25.233648, 27.487225, 75.610630], [45.772770, 52.001908, 52.794666, 55.867522, 103.335609]]
### 4
mean: [1.391124, 0.529713, -0.333907, -1.054855, 1.065267, -0.605020, -1.069649, 0.099838]
std: [0.642809, 1.789846, 1.331978, 0.556143, 0.389486, 0.520980, 0.736722, 1.441076]
pca: [[-0.191171, 0.604419, 0.490478, 0.290288, -0.174544, 0.174257, -0.447178, -0.111786, 0.000000, 0.000000], [0.616112, 0.208781, -0.021861, -0.140747, -0.344798, -0.321503, 0.056595, -0.575392, 0.000000, 0.000000], [0.456977, -0.194778, -0.237388, 0.461273, -0.153408, 0.670280, -0.103990, 0.022007, 0.000000, 0.000000], [-0.164431, -0.488855, 0.585472, -0.006279, -0.515866, 0.116386, 0.319007, -0.098683, 0.000000, 0.000000], [-0.108612, 0.466301, -0.051019, 0.207351, 0.099536, 0.201162, 0.816776, -0.087593, 0.000000, 0.000000], [0.171922, -0.198982, 0.421805, -0.030760, 0.730344, 0.175642, -0.008101, -0.433203, 0.000000, 0.000000], [-0.247680, -0.234783, -0.162916, 0.745624, 0.047874, -0.453148, -0.025253, -0.304569, 0.000000, 0.000000], [0.495273, 0.044916, 0.390845, 0.288471, 0.124077, -0.356075, 0.128151, 0.598419, 0.000000, 0.000000]]
fourier: [[9.688882, 10.334292, 10.697807, 12.645967, 125.201139], [30.658709, 31.885509, 32.061571, 32.726148, 47.674203], [23.337496, 23.430510, 24.132535, 24.422442, 30.051653], [8.991528, 9.247374, 9.667598, 10.843915, 94.936923], [5.455950, 6.026489, 6.130518, 7.073656, 95.874002], [8.043722, 8.559871, 9.339715, 9.855863, 54.451829], [12.754707, 12.829371, 13.018619, 13.026803, 96.268420], [23.735470, 24.600936, 24.734570, 24.877525, 26.582907]]
### 6
mean: [1.449006, -1.977906, -0.062631, -0.476769, 1.106830, 1.544370, 1.416133, -0.427001]
std: [1.002022, 1.162184, 3.102630, 1.081766, 0.767450, 0.949254, 1.001968, 0.321524]
pca: [[-0.252401, -0.250382, 0.096047, 0.668567, 0.468468, -0.268084, 0.347017, -0.075125, 0.000000, 0.000000], [-0.272031, 0.798989, -0.214559, 0.042494, 0.364694, 0.240245, 0.001465, -0.221479, 0.000000, 0.000000], [0.790228, -0.101087, -0.256680, 0.208054, 0.320278, 0.214139, -0.157269, -0.288069, 0.000000, 0.000000], [0.275117, 0.083698, 0.271405, -0.540253, 0.424077, -0.142553, 0.574983, 0.144922, 0.000000, 0.000000], [-0.190697, -0.282917, -0.579225, -0.128417, 0.327469, 0.276326, -0.036247, 0.588807, 0.000000, 0.000000], [-0.239077, -0.244568, -0.033076, -0.398254, 0.406010, -0.388347, -0.506264, -0.389059, 0.000000, 0.000000], [-0.249850, -0.354617, 0.292341, -0.130758, 0.065054, 0.741812, 0.139002, -0.367998, 0.000000, 0.000000], [0.078710, 0.126858, 0.618979, 0.154458, 0.298000, 0.163653, -0.497292, 0.455888, 0.000000, 0.000000]]
fourier: [[17.166647, 17.272671, 17.773695, 17.862703, 130.410549], [18.492163, 19.256590, 19.471123, 20.158254, 178.011580], [50.554181, 52.760038, 53.307699, 53.935301, 54.165011], [18.064499, 18.708219, 18.989152, 19.265852, 42.909188], [12.564610, 12.823337, 12.844128, 13.389889, 99.614740], [15.782558, 16.104432, 16.124701, 16.422257, 138.993272], [16.379992, 17.157303, 17.266746, 17.739966, 127.451959], [4.946223, 5.104880, 5.295395, 5.531285, 38.430119]]
### 8
mean: [-3.330730]
std: [3.444216]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[57.849176, 59.301505, 59.565886, 60.259482, 299.765756]]
## 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:
{
"network.0.weight": [
[
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0.44266,
0.10453,
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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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-0.688775
]
],
"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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0.398789,
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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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0.477374
]
],
"network.4.bias": [
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0.480037,
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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": [
-0.654247
]
}
## Activation Signature
### 0
mean: [0.757052, -0.083684, 0.273489, 0.821305, -0.413071, 0.740176, 0.519799, -2.944555]
std: [1.688240, 1.560173, 1.303585, 2.149200, 1.370693, 2.060970, 1.710771, 2.046720]
pca: [[0.329650, -0.412127, 0.113575, -0.220941, 0.585073, 0.391063, -0.183128, -0.361927, 0.000000, 0.000000], [0.105794, 0.367140, 0.643943, -0.231615, -0.282597, -0.060622, 0.084255, -0.543206, 0.000000, 0.000000], [0.076497, 0.342144, 0.494174, -0.071995, 0.430059, -0.086194, -0.253171, 0.609278, 0.000000, 0.000000], [0.570611, -0.203558, -0.152134, -0.331189, -0.183344, -0.629503, -0.258158, 0.060012, 0.000000, 0.000000], [0.104200, 0.370984, -0.193851, 0.567575, 0.128413, -0.107282, -0.586263, -0.346539, 0.000000, 0.000000], [0.552041, 0.091212, 0.033451, 0.463199, 0.204172, -0.104007, 0.646889, 0.017041, 0.000000, 0.000000], [0.474567, 0.090842, -0.019113, 0.043837, -0.500167, 0.634104, -0.195534, 0.271585, 0.000000, 0.000000], [0.088712, 0.618596, -0.515774, -0.494017, 0.225653, 0.123599, 0.167991, -0.070542, 0.000000, 0.000000]]
fourier: [[27.093166, 27.448854, 28.710761, 30.703593, 68.134652], [22.505447, 24.784604, 28.685791, 30.230743, 32.526695], [23.151876, 24.614007, 25.095238, 27.322097, 28.309623], [31.192022, 32.530713, 33.981249, 42.772591, 73.917488], [21.220406, 21.523551, 23.497530, 28.992662, 37.176357], [32.202171, 32.713121, 32.867836, 40.231389, 66.615846], [25.227014, 26.918901, 28.972432, 29.505585, 46.781895], [31.462747, 37.075240, 38.298895, 39.115823, 265.009914]]
### 2
mean: [-1.093453, -0.561180, -0.816644, -1.432383, 0.208695, 0.915496, -0.840118, 1.148174]
std: [0.878228, 0.911790, 1.218029, 1.303301, 0.893658, 0.989012, 1.381050, 2.806026]
pca: [[-0.226405, -0.001175, -0.028034, 0.651150, 0.688111, -0.209557, 0.068141, -0.043634, 0.000000, 0.000000], [-0.227740, 0.213904, -0.170522, 0.183527, -0.217368, 0.425556, 0.681602, -0.383003, 0.000000, 0.000000], [-0.314544, -0.064215, -0.270692, -0.084127, 0.194898, 0.614312, -0.586222, -0.239928, 0.000000, 0.000000], [-0.325087, -0.309386, -0.210055, 0.423834, -0.607083, -0.342603, -0.249583, -0.163163, 0.000000, 0.000000], [-0.158531, -0.327340, 0.877834, 0.122102, -0.064907, 0.245630, -0.011948, -0.132382, 0.000000, 0.000000], [-0.049600, 0.844639, 0.259399, 0.258954, -0.210168, 0.009729, -0.314994, 0.079328, 0.000000, 0.000000], [-0.359738, -0.093407, -0.071412, 0.113542, -0.101176, 0.283996, 0.132944, 0.857501, 0.000000, 0.000000], [0.731609, -0.158457, -0.098786, 0.510638, -0.118743, 0.373028, -0.088253, 0.089952, 0.000000, 0.000000]]
fourier: [[14.995870, 16.808997, 16.825294, 17.131618, 98.410793], [14.578357, 16.747411, 17.304866, 18.186600, 50.506227], [20.462507, 20.883272, 21.318535, 24.311047, 73.497981], [21.451072, 22.075391, 22.611600, 25.007877, 128.914444], [13.153136, 15.080894, 15.829880, 18.782585, 18.942578], [16.347127, 16.621595, 18.356742, 21.632837, 82.394606], [22.786484, 24.077358, 25.233648, 27.487225, 75.610630], [45.772770, 52.001908, 52.794666, 55.867522, 103.335609]]
### 4
mean: [1.391124, 0.529713, -0.333907, -1.054855, 1.065267, -0.605020, -1.069649, 0.099838]
std: [0.642809, 1.789846, 1.331978, 0.556143, 0.389486, 0.520980, 0.736722, 1.441076]
pca: [[-0.191171, 0.604419, 0.490478, 0.290288, -0.174544, 0.174257, -0.447178, -0.111786, 0.000000, 0.000000], [0.616112, 0.208781, -0.021861, -0.140747, -0.344798, -0.321503, 0.056595, -0.575392, 0.000000, 0.000000], [0.456977, -0.194778, -0.237388, 0.461273, -0.153408, 0.670280, -0.103990, 0.022007, 0.000000, 0.000000], [-0.164431, -0.488855, 0.585472, -0.006279, -0.515866, 0.116386, 0.319007, -0.098683, 0.000000, 0.000000], [-0.108612, 0.466301, -0.051019, 0.207351, 0.099536, 0.201162, 0.816776, -0.087593, 0.000000, 0.000000], [0.171922, -0.198982, 0.421805, -0.030760, 0.730344, 0.175642, -0.008101, -0.433203, 0.000000, 0.000000], [-0.247680, -0.234783, -0.162916, 0.745624, 0.047874, -0.453148, -0.025253, -0.304569, 0.000000, 0.000000], [0.495273, 0.044916, 0.390845, 0.288471, 0.124077, -0.356075, 0.128151, 0.598419, 0.000000, 0.000000]]
fourier: [[9.688882, 10.334292, 10.697807, 12.645967, 125.201139], [30.658709, 31.885509, 32.061571, 32.726148, 47.674203], [23.337496, 23.430510, 24.132535, 24.422442, 30.051653], [8.991528, 9.247374, 9.667598, 10.843915, 94.936923], [5.455950, 6.026489, 6.130518, 7.073656, 95.874002], [8.043722, 8.559871, 9.339715, 9.855863, 54.451829], [12.754707, 12.829371, 13.018619, 13.026803, 96.268420], [23.735470, 24.600936, 24.734570, 24.877525, 26.582907]]
### 6
mean: [1.449006, -1.977906, -0.062631, -0.476769, 1.106830, 1.544370, 1.416133, -0.427001]
std: [1.002022, 1.162184, 3.102630, 1.081766, 0.767450, 0.949254, 1.001968, 0.321524]
pca: [[-0.252401, -0.250382, 0.096047, 0.668567, 0.468468, -0.268084, 0.347017, -0.075125, 0.000000, 0.000000], [-0.272031, 0.798989, -0.214559, 0.042494, 0.364694, 0.240245, 0.001465, -0.221479, 0.000000, 0.000000], [0.790228, -0.101087, -0.256680, 0.208054, 0.320278, 0.214139, -0.157269, -0.288069, 0.000000, 0.000000], [0.275117, 0.083698, 0.271405, -0.540253, 0.424077, -0.142553, 0.574983, 0.144922, 0.000000, 0.000000], [-0.190697, -0.282917, -0.579225, -0.128417, 0.327469, 0.276326, -0.036247, 0.588807, 0.000000, 0.000000], [-0.239077, -0.244568, -0.033076, -0.398254, 0.406010, -0.388347, -0.506264, -0.389059, 0.000000, 0.000000], [-0.249850, -0.354617, 0.292341, -0.130758, 0.065054, 0.741812, 0.139002, -0.367998, 0.000000, 0.000000], [0.078710, 0.126858, 0.618979, 0.154458, 0.298000, 0.163653, -0.497292, 0.455888, 0.000000, 0.000000]]
fourier: [[17.166647, 17.272671, 17.773695, 17.862703, 130.410549], [18.492163, 19.256590, 19.471123, 20.158254, 178.011580], [50.554181, 52.760038, 53.307699, 53.935301, 54.165011], [18.064499, 18.708219, 18.989152, 19.265852, 42.909188], [12.564610, 12.823337, 12.844128, 13.389889, 99.614740], [15.782558, 16.104432, 16.124701, 16.422257, 138.993272], [16.379992, 17.157303, 17.266746, 17.739966, 127.451959], [4.946223, 5.104880, 5.295395, 5.531285, 38.430119]]
### 8
mean: [-3.330730]
std: [3.444216]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[57.849176, 59.301505, 59.565886, 60.259482, 299.765756]]
## 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": [[0.464897, 0.44266, 0.10453, -0.356576, 0.259232], [-0.390143, 0.711818, -0.119263, -0.01355, -0.377241], [-0.249113, 0.565038, -0.312123, 0.034942, -0.232554], [0.735682, 0.398635, 0.11258, -0.465743, -0.342283], [0.313627, -0.248005, -0.366648, 0.380271, -0.519266], [0.84614, 0.304189, -0.235455, 0.133494, -0.583203], [0.572156, 0.29563, -0.008483, -0.087671, -0.616604], [-0.040201, -0.103075, -0.506359, -0.333984, -0.688775]], "network.0.bias": [-0.401527, -0.151814, 0.417749, 0.36513, 0.239402, 0.057755, 0.235282, -0.083275], "network.2.weight": [[-0.255282, 0.464705, -0.178929, -0.123081, -0.000187, -0.185725, -0.012081, -0.380995], [-0.133798, 0.355002, 0.176978, -0.19843, 0.356364, -0.219297, 0.064676, 0.010379], [-0.423269, 0.100252, 0.271194, -0.062453, 0.255131, -0.237032, -0.120081, 0.033542], [-0.317673, 0.494478, -0.476644, -0.262361, 0.385793, -0.22979, -0.079488, -0.410141], [0.238239, 0.398789, -0.421614, -0.006689, 0.073266, -0.412687, -0.315734, 0.008145], [0.41725, 0.65951, 0.370316, -0.289153, 0.216823, -0.038925, 0.064584, -0.571462], [-0.283105, 0.358467, 0.030192, -0.201126, 0.347178, -0.343819, -0.096823, -0.068513], [0.346669, -0.537539, -0.696382, 0.537918, -0.467042, 0.549264, 0.354276, -0.157684]], "network.2.bias": [-0.618267, -0.351266, -0.240826, -0.606495, 0.700323, 0.314145, -0.157138, 0.026553], "network.4.weight": [[-0.835876, -0.156885, -0.423976, -0.888111, 0.567607, 0.498092, -0.34821, -0.115001], [0.41315, 0.716927, 0.408354, 0.233912, -0.434458, -0.282457, 0.45762, 0.644582], [0.327369, 0.330642, 0.537468, 0.541621, -0.823084, -0.360764, 0.143098, 0.428471], [0.428704, 0.328724, 0.472951, 0.332639, -0.228505, -0.206721, 0.44, -0.235112], [-0.436958, -0.43833, -0.452896, -0.900583, 0.409922, 0.382715, -0.407587, -0.045102], [0.289131, 0.351539, 0.564288, 0.70922, -0.336617, -0.224858, 0.774553, 0.134676], [0.438878, -0.45972, -0.346654, 0.253542, -0.238262, 0.064527, -0.466099, -0.305079], [0.726493, 0.653739, 0.631737, 0.629161, -0.625084, -0.274202, 0.616052, 0.477374]], "network.4.bias": [0.711645, 0.132302, -0.213805, -0.352479, 0.480037, -0.322573, -0.562483, 0.094432], "network.6.weight": [[0.550711, -0.206745, -0.313141, -0.704129, 0.15161, -0.437401, -0.742276, 0.140548], [-0.573488, -0.624092, -0.092835, 0.290633, -0.48775, 0.061126, 0.292442, -0.339152], [-0.228034, 0.821046, 0.586208, -0.155675, -0.601385, 0.096955, 0.359713, 0.619181], [-0.310777, 0.290581, 0.656503, 0.227083, -0.122061, -0.240048, 0.159139, -0.202152], [0.461325, 0.208573, -0.551935, -0.319912, 0.220787, -0.271091, -0.591828, -0.096973], [0.343723, 0.109774, -0.244501, -0.63991, 0.40427, -0.266131, -0.601376, -0.358344], [0.364389, -0.156914, -0.242669, -0.38953, 0.614464, -0.342814, -0.22395, 0.013384], [-0.236561, -0.206507, 0.367222, -0.378264, -0.005221, -0.086155, -0.08343, 0.151949]], "network.6.bias": [0.525321, -0.090078, -0.160696, -0.222591, 0.203714, 0.671319, 0.427215, -0.208514], "network.8.weight": [[-0.713737, 0.381826, 0.622659, 0.306526, -0.298016, -0.710551, -0.538925, 0.172929]], "network.8.bias": [-0.654247]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.684425950050354, "train_acc": 0.6, "val_loss": 0.7313469052314758, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.67014080286026, "train_acc": 0.6, "val_loss": 0.693202793598175, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6378997564315796, "train_acc": 0.605, "val_loss": 0.5255786776542664, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5326790809631348, "train_acc": 0.77, "val_loss": 0.43345534801483154, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3731691688299179, "train_acc": 0.91, "val_loss": 0.3341263234615326, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.19772516936063766, "train_acc": 0.955, "val_loss": 0.35816195607185364, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.13235485926270485, "train_acc": 0.95, "val_loss": 0.41098228096961975, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.1752414107322693, "train_acc": 0.955, "val_loss": 0.4904429316520691, "val_acc": 0.86}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7313469052314758, "final_val_loss": 0.693202793598175, "initial_val_acc": 0.4, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.5255786776542664, "final_val_loss": 0.4904429316520691, "initial_val_acc": 0.82, "final_val_acc": 0.86, "best_val_acc": 0.88, "best_epoch": 6}, "improvement": 0.48, "first_improvement_epoch": 1}}
|
9,656
|
{"target_pattern": "sorted_ascending", "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": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1146, "learning_rate": 0.05038761054239941, "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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [1.127880, -0.560467, -0.000170, 1.872009, -2.302406, 3.566180]
std: [1.618656, 1.234221, 1.539617, 2.556275, 1.745539, 3.029847]
pca: [[0.184874, 0.603861, 0.061087, -0.104016, 0.681684, -0.349184, 0.000000, 0.000000, 0.000000, 0.000000], [-0.077486, 0.379329, 0.395929, -0.528957, -0.106327, 0.634227, 0.000000, 0.000000, 0.000000, 0.000000], [0.266942, -0.211959, 0.622583, -0.335001, -0.275785, -0.554907, 0.000000, 0.000000, 0.000000, 0.000000], [0.562138, -0.472946, 0.240096, 0.142830, 0.471593, 0.399845, 0.000000, 0.000000, 0.000000, 0.000000], [-0.289305, 0.201502, 0.609517, 0.707954, -0.020709, 0.050609, 0.000000, 0.000000, 0.000000, 0.000000], [0.699187, 0.426912, -0.150802, 0.274882, -0.474462, 0.073943, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.547041, 24.337029, 27.375843, 27.915047, 101.509193], [17.507722, 17.862214, 19.692195, 27.774182, 50.442013], [23.480835, 24.264877, 28.628420, 28.991463, 33.869095], [40.479429, 41.891779, 47.495272, 51.083406, 168.480771], [26.494607, 26.813840, 35.242893, 37.967085, 207.216579], [49.598096, 49.773673, 54.282142, 59.655968, 320.956251]]
### 2
mean: [-1.993623, 5.633280, 4.306763, -0.988233, -2.107299, 3.433982]
std: [1.589504, 5.010304, 3.476617, 0.492735, 1.347669, 2.933726]
pca: [[-0.222021, 0.425448, 0.165161, 0.061021, 0.856451, -0.072050, 0.000000, 0.000000, 0.000000, 0.000000], [0.708905, -0.289026, -0.396957, 0.335784, 0.378563, -0.016779, 0.000000, 0.000000, 0.000000, 0.000000], [0.488155, 0.822104, 0.013705, 0.017212, -0.289205, -0.041548, 0.000000, 0.000000, 0.000000, 0.000000], [-0.065482, 0.122897, -0.350723, -0.216510, 0.080480, 0.896799, 0.000000, 0.000000, 0.000000, 0.000000], [-0.188311, 0.049707, 0.223404, 0.894427, -0.155358, 0.296687, 0.000000, 0.000000, 0.000000, 0.000000], [0.412452, -0.205007, 0.801276, -0.190666, 0.094498, 0.317064, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.954931, 26.435611, 27.564860, 27.713257, 179.426032], [83.658504, 86.748929, 86.943428, 90.164493, 506.995170], [54.550757, 61.687714, 62.401939, 63.964139, 387.608689], [7.783716, 8.425538, 9.251646, 9.390017, 88.940995], [21.208173, 23.458521, 24.031002, 24.225900, 189.656914], [47.189792, 51.197122, 51.241194, 55.731083, 309.058403]]
### 4
mean: [-2.075236, 5.524401, -2.396106, -1.746248, 9.305275, -1.294833]
std: [1.503712, 4.918500, 2.984033, 1.234555, 7.971118, 0.930929]
pca: [[-0.149216, 0.081949, -0.460612, 0.586765, -0.405287, -0.500305, 0.000000, 0.000000, 0.000000, 0.000000], [0.489168, 0.315509, -0.370779, 0.194829, -0.226487, 0.659118, 0.000000, 0.000000, 0.000000, 0.000000], [-0.296140, -0.383481, 0.424876, 0.627080, -0.075590, 0.431023, 0.000000, 0.000000, 0.000000, 0.000000], [-0.121005, 0.400485, -0.127327, 0.374963, 0.817403, -0.003486, 0.000000, 0.000000, 0.000000, 0.000000], [0.793249, -0.183577, 0.341810, 0.286211, 0.127836, -0.349232, 0.000000, 0.000000, 0.000000, 0.000000], [-0.082852, 0.743366, 0.580338, 0.044786, -0.306990, -0.086612, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.307053, 26.392321, 26.844963, 27.029695, 186.771222], [82.755916, 83.886196, 85.385433, 90.680866, 497.196064], [49.209313, 51.430844, 51.641671, 54.952444, 215.649543], [19.020387, 21.930908, 22.251307, 22.736211, 157.162354], [132.662076, 137.903946, 139.527485, 146.516547, 837.474808], [14.814009, 15.286686, 15.867138, 17.463096, 116.534984]]
### 6
mean: [-0.774311, 6.245355, -3.445872, 7.597404, 11.516611, -2.020748]
std: [1.512260, 5.365463, 2.802035, 6.900042, 9.970332, 1.484234]
pca: [[-0.109232, 0.791188, 0.166288, -0.463871, -0.288150, -0.190346, 0.000000, 0.000000, 0.000000, 0.000000], [0.391220, -0.190780, -0.252917, -0.466697, -0.446123, 0.574240, 0.000000, 0.000000, 0.000000, 0.000000], [-0.204269, -0.112794, 0.826895, 0.175548, -0.290565, 0.382820, 0.000000, 0.000000, 0.000000, 0.000000], [0.503048, 0.497743, -0.089750, 0.650797, -0.085649, 0.245495, 0.000000, 0.000000, 0.000000, 0.000000], [0.727010, -0.117105, 0.462794, -0.252444, 0.284229, -0.314724, 0.000000, 0.000000, 0.000000, 0.000000], [-0.108120, 0.251874, 0.048915, -0.221214, 0.738508, 0.572841, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.517058, 25.885311, 26.346048, 29.471817, 69.688030], [90.002070, 92.345403, 93.876224, 99.702072, 562.081937], [47.244735, 47.760100, 48.858697, 51.586873, 310.128428], [115.276017, 118.789435, 120.604096, 126.676864, 683.766505], [166.680323, 172.147219, 174.564753, 184.822990, 1036.494912], [24.953157, 25.567998, 25.987911, 27.979893, 181.867339]]
### 8
mean: [-14.774967]
std: [13.489483]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[224.765774, 233.832575, 237.382973, 252.961506, 1329.747118]]
## 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: 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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[
-0.031143,
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0.282892,
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0.783377,
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"network.2.bias": [
-0.230665,
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0.013129
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"network.4.weight": [
[
0.265068,
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"network.4.bias": [
-0.329843,
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-0.014128
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}
## Activation Signature
### 0
mean: [1.127880, -0.560467, -0.000170, 1.872009, -2.302406, 3.566180]
std: [1.618656, 1.234221, 1.539617, 2.556275, 1.745539, 3.029847]
pca: [[0.184874, 0.603861, 0.061087, -0.104016, 0.681684, -0.349184, 0.000000, 0.000000, 0.000000, 0.000000], [-0.077486, 0.379329, 0.395929, -0.528957, -0.106327, 0.634227, 0.000000, 0.000000, 0.000000, 0.000000], [0.266942, -0.211959, 0.622583, -0.335001, -0.275785, -0.554907, 0.000000, 0.000000, 0.000000, 0.000000], [0.562138, -0.472946, 0.240096, 0.142830, 0.471593, 0.399845, 0.000000, 0.000000, 0.000000, 0.000000], [-0.289305, 0.201502, 0.609517, 0.707954, -0.020709, 0.050609, 0.000000, 0.000000, 0.000000, 0.000000], [0.699187, 0.426912, -0.150802, 0.274882, -0.474462, 0.073943, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.547041, 24.337029, 27.375843, 27.915047, 101.509193], [17.507722, 17.862214, 19.692195, 27.774182, 50.442013], [23.480835, 24.264877, 28.628420, 28.991463, 33.869095], [40.479429, 41.891779, 47.495272, 51.083406, 168.480771], [26.494607, 26.813840, 35.242893, 37.967085, 207.216579], [49.598096, 49.773673, 54.282142, 59.655968, 320.956251]]
### 2
mean: [-1.993623, 5.633280, 4.306763, -0.988233, -2.107299, 3.433982]
std: [1.589504, 5.010304, 3.476617, 0.492735, 1.347669, 2.933726]
pca: [[-0.222021, 0.425448, 0.165161, 0.061021, 0.856451, -0.072050, 0.000000, 0.000000, 0.000000, 0.000000], [0.708905, -0.289026, -0.396957, 0.335784, 0.378563, -0.016779, 0.000000, 0.000000, 0.000000, 0.000000], [0.488155, 0.822104, 0.013705, 0.017212, -0.289205, -0.041548, 0.000000, 0.000000, 0.000000, 0.000000], [-0.065482, 0.122897, -0.350723, -0.216510, 0.080480, 0.896799, 0.000000, 0.000000, 0.000000, 0.000000], [-0.188311, 0.049707, 0.223404, 0.894427, -0.155358, 0.296687, 0.000000, 0.000000, 0.000000, 0.000000], [0.412452, -0.205007, 0.801276, -0.190666, 0.094498, 0.317064, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.954931, 26.435611, 27.564860, 27.713257, 179.426032], [83.658504, 86.748929, 86.943428, 90.164493, 506.995170], [54.550757, 61.687714, 62.401939, 63.964139, 387.608689], [7.783716, 8.425538, 9.251646, 9.390017, 88.940995], [21.208173, 23.458521, 24.031002, 24.225900, 189.656914], [47.189792, 51.197122, 51.241194, 55.731083, 309.058403]]
### 4
mean: [-2.075236, 5.524401, -2.396106, -1.746248, 9.305275, -1.294833]
std: [1.503712, 4.918500, 2.984033, 1.234555, 7.971118, 0.930929]
pca: [[-0.149216, 0.081949, -0.460612, 0.586765, -0.405287, -0.500305, 0.000000, 0.000000, 0.000000, 0.000000], [0.489168, 0.315509, -0.370779, 0.194829, -0.226487, 0.659118, 0.000000, 0.000000, 0.000000, 0.000000], [-0.296140, -0.383481, 0.424876, 0.627080, -0.075590, 0.431023, 0.000000, 0.000000, 0.000000, 0.000000], [-0.121005, 0.400485, -0.127327, 0.374963, 0.817403, -0.003486, 0.000000, 0.000000, 0.000000, 0.000000], [0.793249, -0.183577, 0.341810, 0.286211, 0.127836, -0.349232, 0.000000, 0.000000, 0.000000, 0.000000], [-0.082852, 0.743366, 0.580338, 0.044786, -0.306990, -0.086612, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.307053, 26.392321, 26.844963, 27.029695, 186.771222], [82.755916, 83.886196, 85.385433, 90.680866, 497.196064], [49.209313, 51.430844, 51.641671, 54.952444, 215.649543], [19.020387, 21.930908, 22.251307, 22.736211, 157.162354], [132.662076, 137.903946, 139.527485, 146.516547, 837.474808], [14.814009, 15.286686, 15.867138, 17.463096, 116.534984]]
### 6
mean: [-0.774311, 6.245355, -3.445872, 7.597404, 11.516611, -2.020748]
std: [1.512260, 5.365463, 2.802035, 6.900042, 9.970332, 1.484234]
pca: [[-0.109232, 0.791188, 0.166288, -0.463871, -0.288150, -0.190346, 0.000000, 0.000000, 0.000000, 0.000000], [0.391220, -0.190780, -0.252917, -0.466697, -0.446123, 0.574240, 0.000000, 0.000000, 0.000000, 0.000000], [-0.204269, -0.112794, 0.826895, 0.175548, -0.290565, 0.382820, 0.000000, 0.000000, 0.000000, 0.000000], [0.503048, 0.497743, -0.089750, 0.650797, -0.085649, 0.245495, 0.000000, 0.000000, 0.000000, 0.000000], [0.727010, -0.117105, 0.462794, -0.252444, 0.284229, -0.314724, 0.000000, 0.000000, 0.000000, 0.000000], [-0.108120, 0.251874, 0.048915, -0.221214, 0.738508, 0.572841, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.517058, 25.885311, 26.346048, 29.471817, 69.688030], [90.002070, 92.345403, 93.876224, 99.702072, 562.081937], [47.244735, 47.760100, 48.858697, 51.586873, 310.128428], [115.276017, 118.789435, 120.604096, 126.676864, 683.766505], [166.680323, 172.147219, 174.564753, 184.822990, 1036.494912], [24.953157, 25.567998, 25.987911, 27.979893, 181.867339]]
### 8
mean: [-14.774967]
std: [13.489483]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[224.765774, 233.832575, 237.382973, 252.961506, 1329.747118]]
## 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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1036.4949119985104]}, "5": {"mean": -2.0207481384277344, "std": 1.4842336177825928, "pca": [-0.10812046378850937, 0.251873642206192, 0.048914700746536255, -0.2212143987417221, 0.7385080456733704, 0.5728411674499512, 0.0, 0.0, 0.0, 0.0], "fourier": [24.953157143241768, 25.567997653207172, 25.987910891877355, 27.9798932909624, 181.86733889579773]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -14.774967193603516, "std": 13.489482879638672, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [224.76577376089722, 233.83257496190456, 237.3829731577048, 252.96150559569128, 1329.7471177875996]}}, "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": [[0.202305, 0.151702, 0.188165, 0.480717, -0.693181], [0.232169, -0.377475, -0.272027, 0.413828, -0.421436], [0.77843, -0.120169, -0.109923, -0.171641, -0.130412], [0.800014, 0.360826, 0.476733, -0.473148, -0.017024], [-0.467101, 0.100024, -0.384223, -0.312826, -0.354483], [0.799364, 1.032659, 0.081951, 0.205168, -0.302673]], "network.0.bias": [0.030685, 0.039029, 0.008625, 0.258725, 0.007242, 0.451822], "network.2.weight": [[-0.078001, 0.159386, 0.030103, -0.366459, 0.110143, -0.270041], [0.334791, 0.262856, 0.321227, 0.877473, -0.223377, 0.927879], [0.792599, 0.188217, 0.375997, 0.505529, 0.136065, 0.51424], [-0.154819, 0.059343, -0.149383, -0.147958, -0.116246, 0.032119], [-0.031143, -0.403297, 0.282892, -0.359408, -0.347402, -0.286098], [0.569563, 0.283179, 0.231319, 0.783377, -0.257809, 0.232239]], "network.2.bias": [-0.230665, -0.192612, 0.08108, -0.515152, -0.369796, 0.013129], "network.4.weight": [[0.265068, -0.248126, -0.168656, -0.153918, -0.389433, 0.110443], [0.172973, 0.598494, -0.037434, -0.024464, 0.016491, 0.703452], [-0.011421, -0.411818, 0.20413, 0.202207, -0.083641, -0.55529], [-0.196574, 0.055148, -0.433225, 0.134583, -0.221599, 0.000111], [-0.196025, 0.854638, 0.601522, 0.288932, 0.115056, 0.557482], [0.173467, 0.490193, -0.702977, 0.319341, 0.021748, -0.295748]], "network.4.bias": [-0.329843, -0.102787, 0.952378, -0.191614, -0.015964, -0.014128], "network.6.weight": [[-0.369653, -0.444706, 0.983372, 0.185513, 0.10214, 0.007294], [0.237699, 0.429263, -0.538562, -0.040079, 0.399846, -0.070731], [0.170343, -0.296452, -0.014559, -0.374058, -0.169004, 0.241127], [0.301075, 0.19212, 0.134687, 0.155971, 0.749394, 0.297911], [-0.022941, 0.485136, -0.803389, -0.15838, 0.938916, 0.449756], [0.234692, -0.195273, 0.377418, 0.08702, -0.059549, -0.485192]], "network.6.bias": [0.614789, 0.217239, -0.233469, -0.453585, 0.195265, -0.432817], "network.8.weight": [[0.971892, -0.600405, 0.399357, -0.460407, -0.688336, 0.116599]], "network.8.bias": [0.187287]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6871865689754486, "train_acc": 0.575, "val_loss": 0.682371973991394, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6565260291099548, "train_acc": 0.575, "val_loss": 0.6378743648529053, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6105921566486359, "train_acc": 0.495, "val_loss": 0.5101901292800903, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.46430812776088715, "train_acc": 0.84, "val_loss": 0.35567623376846313, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.34880901873111725, "train_acc": 0.915, "val_loss": 0.24902601540088654, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.27114802598953247, "train_acc": 0.935, "val_loss": 0.19053632020950317, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.22451496124267578, "train_acc": 0.93, "val_loss": 0.11848854273557663, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.18826808035373688, "train_acc": 0.955, "val_loss": 0.11112663149833679, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.1525837630033493, "train_acc": 0.955, "val_loss": 0.12911991775035858, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.12570462748408318, "train_acc": 0.96, "val_loss": 0.13252544403076172, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.1603943109512329, "train_acc": 0.94, "val_loss": 0.10844575613737106, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.13143937289714813, "train_acc": 0.96, "val_loss": 0.12770777940750122, "val_acc": 0.96}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.682371973991394, "final_val_loss": 0.6378743648529053, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5101901292800903, "final_val_loss": 0.12770777940750122, "initial_val_acc": 0.8, "final_val_acc": 0.96, "best_val_acc": 0.98, "best_epoch": 6}, "improvement": 0.45999999999999996, "first_improvement_epoch": 1}}
|
9,657
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.46, "improved_accuracy": 0.94, "improvement": 0.4799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4512, "learning_rate": 0.03179857359329797, "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: 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.2.weight": [
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[
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[
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[
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"network.4.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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"network.12.weight": [
[
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [1.179681, 0.149425, -1.565168, 1.259865, 0.306787, -0.027806, -1.111164]
std: [1.484848, 0.392339, 1.903604, 1.642805, 1.533793, 1.246286, 1.084472]
pca: [[-0.452746, -0.292040, 0.014777, 0.377355, -0.251269, 0.696742, 0.136136, 0.000000, 0.000000, 0.000000], [0.062518, -0.143605, 0.010696, -0.088422, 0.882537, 0.281781, 0.330552, 0.000000, 0.000000, 0.000000], [0.570725, -0.348773, -0.177986, 0.669116, -0.040551, -0.186128, 0.192217, 0.000000, 0.000000, 0.000000], [-0.487988, -0.395164, 0.164703, 0.282860, 0.308678, -0.438311, -0.459541, 0.000000, 0.000000, 0.000000], [-0.470722, 0.281531, -0.251532, 0.176340, -0.015353, -0.412376, 0.659172, 0.000000, 0.000000, 0.000000], [0.063286, 0.554360, 0.690798, 0.443589, 0.106045, 0.058330, -0.007679, 0.000000, 0.000000, 0.000000], [-0.040862, 0.479290, -0.632764, 0.306907, 0.222678, 0.186905, -0.435328, 0.000000, 0.000000, 0.000000]]
fourier: [[23.245465, 23.534037, 24.093970, 26.352920, 106.171272], [7.186433, 7.189338, 7.543772, 8.158007, 13.448293], [32.299441, 32.415506, 34.102822, 38.012384, 140.865115], [24.823709, 26.314189, 26.863866, 28.930326, 113.387885], [24.680360, 24.944727, 27.610841, 28.673457, 30.514938], [18.403832, 19.693567, 20.119255, 21.260448, 21.538599], [15.958631, 16.853201, 17.192952, 20.326826, 100.004793]]
### 2
mean: [-0.751297, 1.433005, -1.317737, 0.441773, 0.538121, 0.886433, -0.033739]
std: [0.795605, 1.850754, 1.310040, 0.664975, 1.239190, 0.398277, 0.106161]
pca: [[-0.281905, 0.348212, 0.018881, -0.364616, -0.477327, 0.602693, -0.273672, 0.000000, 0.000000, 0.000000], [0.665769, 0.410625, 0.261229, -0.190441, -0.062466, -0.297324, -0.437410, 0.000000, 0.000000, 0.000000], [-0.460705, 0.686569, 0.298280, 0.340923, 0.283292, -0.169273, 0.047611, 0.000000, 0.000000, 0.000000], [0.237256, -0.010833, -0.203702, 0.585276, 0.310121, 0.528486, -0.429042, 0.000000, 0.000000, 0.000000], [0.443727, 0.394399, -0.174701, 0.052248, -0.054373, 0.301319, 0.721496, 0.000000, 0.000000, 0.000000], [0.108657, -0.286752, 0.861206, 0.209041, -0.154358, 0.266552, 0.160364, 0.000000, 0.000000, 0.000000], [0.006468, -0.029395, 0.169533, -0.570599, 0.751695, 0.280295, 0.034051, 0.000000, 0.000000, 0.000000]]
fourier: [[13.072821, 13.974902, 14.156155, 14.292307, 67.616735], [29.613380, 30.585940, 31.158550, 32.388296, 128.970449], [21.607018, 23.725521, 23.943360, 23.950037, 118.596303], [10.952897, 11.586483, 11.595313, 11.605236, 39.759548], [20.177089, 20.440037, 21.604146, 21.931476, 48.430919], [5.797798, 6.142193, 6.407202, 6.807260, 79.779003], [1.654697, 1.729425, 1.730345, 1.909334, 3.036516]]
### 4
mean: [0.514371, 0.515359, 0.397984, 0.627246, 0.981396, 0.013615, -0.568444]
std: [0.979464, 0.490646, 0.992368, 0.203628, 1.491244, 0.586072, 0.174456]
pca: [[0.447734, -0.005419, 0.128026, 0.372397, 0.304117, 0.559475, -0.488810, 0.000000, 0.000000, 0.000000], [-0.220505, 0.428812, -0.513321, 0.107768, -0.261194, 0.596583, 0.261251, 0.000000, 0.000000, 0.000000], [0.453467, -0.090001, -0.215188, 0.668867, -0.302882, -0.336103, 0.296438, 0.000000, 0.000000, 0.000000], [-0.072487, 0.614319, 0.720479, 0.220121, -0.101972, -0.019362, 0.197591, 0.000000, 0.000000, 0.000000], [0.681690, 0.137684, 0.007623, -0.517175, 0.151841, 0.117896, 0.460280, 0.000000, 0.000000, 0.000000], [-0.267480, -0.189933, 0.006492, 0.293666, 0.725186, 0.078446, 0.523498, 0.000000, 0.000000, 0.000000], [-0.061456, -0.612839, 0.393211, -0.012668, -0.433826, 0.444615, 0.282821, 0.000000, 0.000000, 0.000000]]
fourier: [[16.092784, 16.572861, 16.586056, 17.269079, 46.293419], [8.521767, 8.654263, 8.767523, 9.010253, 46.382292], [16.121966, 16.355568, 16.650810, 17.678193, 35.818592], [2.845724, 3.309362, 3.846976, 4.051794, 56.452110], [24.360003, 25.055473, 25.366866, 26.353599, 88.325613], [9.389506, 9.650852, 9.691833, 9.987631, 10.294101], [2.485653, 2.768002, 3.073820, 3.164657, 51.159938]]
### 6
mean: [0.193862, 0.112606, 0.116590, 0.228581, 0.087267, 0.530725, 0.176482]
std: [1.362752, 0.802739, 1.148538, 1.038967, 0.415270, 0.890355, 0.486561]
pca: [[0.551781, 0.545784, 0.171294, -0.246255, -0.099369, -0.029160, -0.544932, 0.000000, 0.000000, 0.000000], [-0.325191, -0.006985, 0.251016, -0.190231, 0.326348, 0.783618, -0.272847, 0.000000, 0.000000, 0.000000], [0.465137, 0.109056, -0.665924, -0.018861, 0.285546, 0.390514, 0.306441, 0.000000, 0.000000, 0.000000], [0.420734, -0.021153, 0.677243, 0.021542, 0.143207, 0.103727, 0.576321, 0.000000, 0.000000, 0.000000], [0.167868, -0.316438, 0.043613, 0.143913, 0.787618, -0.352681, -0.323029, 0.000000, 0.000000, 0.000000], [-0.360311, 0.488527, -0.038149, -0.551102, 0.364781, -0.310164, 0.311580, 0.000000, 0.000000, 0.000000], [-0.195997, 0.592402, 0.046675, 0.760215, 0.167841, 0.035308, 0.033503, 0.000000, 0.000000, 0.000000]]
fourier: [[22.218601, 22.975710, 23.296340, 23.955251, 24.298193], [13.035333, 13.433110, 13.826808, 13.993010, 14.446474], [18.596148, 19.098826, 19.712988, 20.069502, 20.650624], [17.651575, 17.765653, 17.976344, 18.662197, 20.572280], [6.942282, 7.020853, 7.087167, 7.571716, 7.854015], [14.922641, 15.176188, 15.363551, 16.177149, 47.765277], [8.200376, 8.203385, 8.388931, 8.946509, 15.883367]]
### 8
mean: [-0.045155, 0.393756, 0.133024, 0.291589, 0.294774, -0.000522, 0.212823]
std: [0.281654, 1.163380, 1.142591, 1.918063, 1.193232, 0.279673, 0.906032]
pca: [[-0.095253, 0.009396, 0.035957, 0.837535, 0.140645, 0.503986, 0.119573, 0.000000, 0.000000, 0.000000], [-0.393860, -0.046973, 0.289272, -0.092650, 0.713080, -0.022658, -0.491333, 0.000000, 0.000000, 0.000000], [-0.386304, 0.485883, -0.120784, 0.112883, 0.251088, -0.463166, 0.556585, 0.000000, 0.000000, 0.000000], [0.649350, 0.093718, 0.564185, 0.251283, 0.178128, -0.394157, 0.031987, 0.000000, 0.000000, 0.000000], [-0.403690, 0.350523, 0.593739, 0.036251, -0.568196, 0.018844, -0.192681, 0.000000, 0.000000, 0.000000], [-0.093532, -0.340244, 0.477747, -0.343972, 0.131755, 0.340159, 0.629173, 0.000000, 0.000000, 0.000000], [0.305287, 0.717083, -0.036963, -0.307301, 0.191715, 0.509449, -0.022347, 0.000000, 0.000000, 0.000000]]
fourier: [[4.721879, 4.812428, 5.004012, 5.088240, 5.116796], [20.049681, 20.168239, 20.878962, 20.944783, 35.438056], [18.862176, 19.520782, 20.211493, 20.243722, 20.876133], [31.545689, 33.013498, 33.179540, 34.377649, 34.618569], [20.432322, 20.986883, 21.221633, 21.526311, 26.529668], [4.465924, 4.626944, 4.729378, 4.872578, 5.119046], [15.097512, 15.703801, 15.916630, 16.513330, 19.154072]]
### 10
mean: [0.505076, -0.487326, 0.045650, 0.049630, -0.016821, 0.237645, 0.047723]
std: [1.133630, 0.230877, 0.886215, 0.304336, 0.370920, 1.144323, 0.993900]
pca: [[-0.528849, -0.202060, 0.345689, 0.167462, -0.134237, -0.352996, 0.623955, 0.000000, 0.000000, 0.000000], [-0.022626, 0.881959, -0.080987, 0.057972, 0.150069, 0.145026, 0.410077, 0.000000, 0.000000, 0.000000], [0.413419, -0.153247, 0.573161, 0.096789, 0.650418, 0.126942, 0.168998, 0.000000, 0.000000, 0.000000], [-0.141869, -0.062360, 0.149835, 0.654320, -0.264808, 0.670358, -0.076786, 0.000000, 0.000000, 0.000000], [0.172700, 0.105155, -0.193310, 0.721920, 0.144431, -0.581434, -0.204093, 0.000000, 0.000000, 0.000000], [0.533202, -0.297470, -0.458475, 0.082411, -0.193263, 0.099866, 0.602406, 0.000000, 0.000000, 0.000000], [0.463288, 0.233237, 0.524793, -0.055971, -0.638813, -0.202061, -0.059275, 0.000000, 0.000000, 0.000000]]
fourier: [[19.025022, 19.847769, 20.043569, 20.441403, 45.456860], [3.282277, 3.287205, 3.297439, 3.602653, 43.859358], [14.660543, 15.105149, 15.637042, 15.828854, 16.151808], [4.958646, 5.013876, 5.232954, 5.315738, 5.497545], [5.900479, 6.215385, 6.566818, 6.664594, 6.678579], [19.617651, 20.210599, 20.216346, 20.992621, 21.388074], [16.158258, 16.634577, 17.275117, 17.491096, 18.040643]]
### 12
mean: [-0.396134]
std: [1.013336]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.340226, 17.687534, 18.194795, 18.423665, 35.652070]]
## 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: 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.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.8.weight": [
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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: [1.179681, 0.149425, -1.565168, 1.259865, 0.306787, -0.027806, -1.111164]
std: [1.484848, 0.392339, 1.903604, 1.642805, 1.533793, 1.246286, 1.084472]
pca: [[-0.452746, -0.292040, 0.014777, 0.377355, -0.251269, 0.696742, 0.136136, 0.000000, 0.000000, 0.000000], [0.062518, -0.143605, 0.010696, -0.088422, 0.882537, 0.281781, 0.330552, 0.000000, 0.000000, 0.000000], [0.570725, -0.348773, -0.177986, 0.669116, -0.040551, -0.186128, 0.192217, 0.000000, 0.000000, 0.000000], [-0.487988, -0.395164, 0.164703, 0.282860, 0.308678, -0.438311, -0.459541, 0.000000, 0.000000, 0.000000], [-0.470722, 0.281531, -0.251532, 0.176340, -0.015353, -0.412376, 0.659172, 0.000000, 0.000000, 0.000000], [0.063286, 0.554360, 0.690798, 0.443589, 0.106045, 0.058330, -0.007679, 0.000000, 0.000000, 0.000000], [-0.040862, 0.479290, -0.632764, 0.306907, 0.222678, 0.186905, -0.435328, 0.000000, 0.000000, 0.000000]]
fourier: [[23.245465, 23.534037, 24.093970, 26.352920, 106.171272], [7.186433, 7.189338, 7.543772, 8.158007, 13.448293], [32.299441, 32.415506, 34.102822, 38.012384, 140.865115], [24.823709, 26.314189, 26.863866, 28.930326, 113.387885], [24.680360, 24.944727, 27.610841, 28.673457, 30.514938], [18.403832, 19.693567, 20.119255, 21.260448, 21.538599], [15.958631, 16.853201, 17.192952, 20.326826, 100.004793]]
### 2
mean: [-0.751297, 1.433005, -1.317737, 0.441773, 0.538121, 0.886433, -0.033739]
std: [0.795605, 1.850754, 1.310040, 0.664975, 1.239190, 0.398277, 0.106161]
pca: [[-0.281905, 0.348212, 0.018881, -0.364616, -0.477327, 0.602693, -0.273672, 0.000000, 0.000000, 0.000000], [0.665769, 0.410625, 0.261229, -0.190441, -0.062466, -0.297324, -0.437410, 0.000000, 0.000000, 0.000000], [-0.460705, 0.686569, 0.298280, 0.340923, 0.283292, -0.169273, 0.047611, 0.000000, 0.000000, 0.000000], [0.237256, -0.010833, -0.203702, 0.585276, 0.310121, 0.528486, -0.429042, 0.000000, 0.000000, 0.000000], [0.443727, 0.394399, -0.174701, 0.052248, -0.054373, 0.301319, 0.721496, 0.000000, 0.000000, 0.000000], [0.108657, -0.286752, 0.861206, 0.209041, -0.154358, 0.266552, 0.160364, 0.000000, 0.000000, 0.000000], [0.006468, -0.029395, 0.169533, -0.570599, 0.751695, 0.280295, 0.034051, 0.000000, 0.000000, 0.000000]]
fourier: [[13.072821, 13.974902, 14.156155, 14.292307, 67.616735], [29.613380, 30.585940, 31.158550, 32.388296, 128.970449], [21.607018, 23.725521, 23.943360, 23.950037, 118.596303], [10.952897, 11.586483, 11.595313, 11.605236, 39.759548], [20.177089, 20.440037, 21.604146, 21.931476, 48.430919], [5.797798, 6.142193, 6.407202, 6.807260, 79.779003], [1.654697, 1.729425, 1.730345, 1.909334, 3.036516]]
### 4
mean: [0.514371, 0.515359, 0.397984, 0.627246, 0.981396, 0.013615, -0.568444]
std: [0.979464, 0.490646, 0.992368, 0.203628, 1.491244, 0.586072, 0.174456]
pca: [[0.447734, -0.005419, 0.128026, 0.372397, 0.304117, 0.559475, -0.488810, 0.000000, 0.000000, 0.000000], [-0.220505, 0.428812, -0.513321, 0.107768, -0.261194, 0.596583, 0.261251, 0.000000, 0.000000, 0.000000], [0.453467, -0.090001, -0.215188, 0.668867, -0.302882, -0.336103, 0.296438, 0.000000, 0.000000, 0.000000], [-0.072487, 0.614319, 0.720479, 0.220121, -0.101972, -0.019362, 0.197591, 0.000000, 0.000000, 0.000000], [0.681690, 0.137684, 0.007623, -0.517175, 0.151841, 0.117896, 0.460280, 0.000000, 0.000000, 0.000000], [-0.267480, -0.189933, 0.006492, 0.293666, 0.725186, 0.078446, 0.523498, 0.000000, 0.000000, 0.000000], [-0.061456, -0.612839, 0.393211, -0.012668, -0.433826, 0.444615, 0.282821, 0.000000, 0.000000, 0.000000]]
fourier: [[16.092784, 16.572861, 16.586056, 17.269079, 46.293419], [8.521767, 8.654263, 8.767523, 9.010253, 46.382292], [16.121966, 16.355568, 16.650810, 17.678193, 35.818592], [2.845724, 3.309362, 3.846976, 4.051794, 56.452110], [24.360003, 25.055473, 25.366866, 26.353599, 88.325613], [9.389506, 9.650852, 9.691833, 9.987631, 10.294101], [2.485653, 2.768002, 3.073820, 3.164657, 51.159938]]
### 6
mean: [0.193862, 0.112606, 0.116590, 0.228581, 0.087267, 0.530725, 0.176482]
std: [1.362752, 0.802739, 1.148538, 1.038967, 0.415270, 0.890355, 0.486561]
pca: [[0.551781, 0.545784, 0.171294, -0.246255, -0.099369, -0.029160, -0.544932, 0.000000, 0.000000, 0.000000], [-0.325191, -0.006985, 0.251016, -0.190231, 0.326348, 0.783618, -0.272847, 0.000000, 0.000000, 0.000000], [0.465137, 0.109056, -0.665924, -0.018861, 0.285546, 0.390514, 0.306441, 0.000000, 0.000000, 0.000000], [0.420734, -0.021153, 0.677243, 0.021542, 0.143207, 0.103727, 0.576321, 0.000000, 0.000000, 0.000000], [0.167868, -0.316438, 0.043613, 0.143913, 0.787618, -0.352681, -0.323029, 0.000000, 0.000000, 0.000000], [-0.360311, 0.488527, -0.038149, -0.551102, 0.364781, -0.310164, 0.311580, 0.000000, 0.000000, 0.000000], [-0.195997, 0.592402, 0.046675, 0.760215, 0.167841, 0.035308, 0.033503, 0.000000, 0.000000, 0.000000]]
fourier: [[22.218601, 22.975710, 23.296340, 23.955251, 24.298193], [13.035333, 13.433110, 13.826808, 13.993010, 14.446474], [18.596148, 19.098826, 19.712988, 20.069502, 20.650624], [17.651575, 17.765653, 17.976344, 18.662197, 20.572280], [6.942282, 7.020853, 7.087167, 7.571716, 7.854015], [14.922641, 15.176188, 15.363551, 16.177149, 47.765277], [8.200376, 8.203385, 8.388931, 8.946509, 15.883367]]
### 8
mean: [-0.045155, 0.393756, 0.133024, 0.291589, 0.294774, -0.000522, 0.212823]
std: [0.281654, 1.163380, 1.142591, 1.918063, 1.193232, 0.279673, 0.906032]
pca: [[-0.095253, 0.009396, 0.035957, 0.837535, 0.140645, 0.503986, 0.119573, 0.000000, 0.000000, 0.000000], [-0.393860, -0.046973, 0.289272, -0.092650, 0.713080, -0.022658, -0.491333, 0.000000, 0.000000, 0.000000], [-0.386304, 0.485883, -0.120784, 0.112883, 0.251088, -0.463166, 0.556585, 0.000000, 0.000000, 0.000000], [0.649350, 0.093718, 0.564185, 0.251283, 0.178128, -0.394157, 0.031987, 0.000000, 0.000000, 0.000000], [-0.403690, 0.350523, 0.593739, 0.036251, -0.568196, 0.018844, -0.192681, 0.000000, 0.000000, 0.000000], [-0.093532, -0.340244, 0.477747, -0.343972, 0.131755, 0.340159, 0.629173, 0.000000, 0.000000, 0.000000], [0.305287, 0.717083, -0.036963, -0.307301, 0.191715, 0.509449, -0.022347, 0.000000, 0.000000, 0.000000]]
fourier: [[4.721879, 4.812428, 5.004012, 5.088240, 5.116796], [20.049681, 20.168239, 20.878962, 20.944783, 35.438056], [18.862176, 19.520782, 20.211493, 20.243722, 20.876133], [31.545689, 33.013498, 33.179540, 34.377649, 34.618569], [20.432322, 20.986883, 21.221633, 21.526311, 26.529668], [4.465924, 4.626944, 4.729378, 4.872578, 5.119046], [15.097512, 15.703801, 15.916630, 16.513330, 19.154072]]
### 10
mean: [0.505076, -0.487326, 0.045650, 0.049630, -0.016821, 0.237645, 0.047723]
std: [1.133630, 0.230877, 0.886215, 0.304336, 0.370920, 1.144323, 0.993900]
pca: [[-0.528849, -0.202060, 0.345689, 0.167462, -0.134237, -0.352996, 0.623955, 0.000000, 0.000000, 0.000000], [-0.022626, 0.881959, -0.080987, 0.057972, 0.150069, 0.145026, 0.410077, 0.000000, 0.000000, 0.000000], [0.413419, -0.153247, 0.573161, 0.096789, 0.650418, 0.126942, 0.168998, 0.000000, 0.000000, 0.000000], [-0.141869, -0.062360, 0.149835, 0.654320, -0.264808, 0.670358, -0.076786, 0.000000, 0.000000, 0.000000], [0.172700, 0.105155, -0.193310, 0.721920, 0.144431, -0.581434, -0.204093, 0.000000, 0.000000, 0.000000], [0.533202, -0.297470, -0.458475, 0.082411, -0.193263, 0.099866, 0.602406, 0.000000, 0.000000, 0.000000], [0.463288, 0.233237, 0.524793, -0.055971, -0.638813, -0.202061, -0.059275, 0.000000, 0.000000, 0.000000]]
fourier: [[19.025022, 19.847769, 20.043569, 20.441403, 45.456860], [3.282277, 3.287205, 3.297439, 3.602653, 43.859358], [14.660543, 15.105149, 15.637042, 15.828854, 16.151808], [4.958646, 5.013876, 5.232954, 5.315738, 5.497545], [5.900479, 6.215385, 6.566818, 6.664594, 6.678579], [19.617651, 20.210599, 20.216346, 20.992621, 21.388074], [16.158258, 16.634577, 17.275117, 17.491096, 18.040643]]
### 12
mean: [-0.396134]
std: [1.013336]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.340226, 17.687534, 18.194795, 18.423665, 35.652070]]
## 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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"integer_indices"}}
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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": [[0.594384, 0.340291, -0.123956, -0.073044, -0.23662], [-0.150452, 0.153362, -0.102584, -0.012951, 0.049264], [-0.537814, -0.297188, -0.409227, 0.21205, -0.169756], [0.59547, 0.487617, -0.181095, -0.043354, -0.179499], [0.568002, 0.12689, 0.145655, -0.343353, -0.007637], [0.202106, -0.479771, -0.028781, 0.193408, 0.45706], [0.062074, -0.222495, 0.114875, -0.416597, 0.058314]], "network.0.bias": [0.527317, 0.238498, 0.25512, 0.322927, -0.189817, -0.323406, -0.20149], "network.2.weight": [[-0.36052, 0.274211, 0.125286, -0.057716, -0.151115, -0.15646, 0.437515], [0.44496, -0.080958, 0.036568, 0.465223, 0.409295, -0.324406, -0.229515], [-0.328048, 0.020446, 0.128664, -0.200179, -0.466822, -0.196689, 0.169156], [0.251939, -0.473359, 0.217419, 0.077659, 0.131093, -0.000858, -0.43951], [0.359581, -0.182848, 0.331771, 0.201421, 0.33616, -0.290564, -0.186656], [-0.050319, -0.180458, -0.520041, 0.387609, -0.218314, 0.228058, -0.212292], [-0.118867, 0.47949, -0.147919, 0.058793, 0.118039, -0.023242, 0.037759]], "network.2.bias": [-0.139925, 0.191506, -0.324038, 0.021128, -0.227885, 0.547441, -0.10223], "network.4.weight": [[-0.228852, 0.324448, 0.374029, 0.253727, 0.164859, 0.051197, -0.08295], [-0.367783, -0.034351, -0.477278, -0.152207, -0.295944, 0.153276, 0.164078], [0.225433, 0.530401, 0.25458, 0.27888, -0.149278, -0.040396, 0.006467], [-0.151755, -0.374015, -0.100389, 0.363617, 0.127364, 0.506891, -0.25093], [0.332699, 0.529962, 0.508482, 0.046483, 0.337268, 0.188537, -0.081797], [-0.301898, -0.200583, -0.060886, -0.168485, -0.035059, -0.166984, -0.233504], [0.077631, -0.151058, -0.151421, 0.222765, 0.107756, -0.351984, 0.24969]], "network.4.bias": [-0.151387, 0.596163, -0.274364, 0.522881, -0.023028, 0.46209, -0.254933], "network.6.weight": [[0.47268, -0.264937, 0.325265, -0.200519, 0.306492, -0.387088, 0.157488], [-0.058887, 0.345508, 0.039082, 0.228975, -0.427484, 0.107148, 0.099541], [0.296267, -0.45349, -0.087985, -0.227029, 0.486586, -0.464327, 0.143247], [0.413193, -0.210407, 0.406376, -0.488127, 0.076857, -0.208552, 0.03248], [0.399389, -0.184589, -0.286964, -0.360022, 0.126013, -0.065082, -0.265292], [0.102233, 0.406083, -0.338015, 0.557215, -0.304179, 0.218649, -0.345673], [-0.315143, 0.476769, 0.083495, 0.416948, -0.032175, 0.176497, 0.029658]], "network.6.bias": [-0.192541, 0.266374, -0.063783, 0.121894, 0.112853, 0.391014, -0.094839], "network.8.weight": [[0.216117, 0.361948, 0.216558, -0.362034, 0.28989, -0.216347, -0.24768], [0.004556, 0.010554, 0.459993, 0.470716, 0.221154, -0.460446, -0.141683], [0.151191, -0.054049, 0.519203, 0.370559, 0.018342, -0.015671, -0.48679], [-0.557192, 0.557353, -0.554766, -0.416806, -0.009676, 0.441121, 0.245274], [0.415833, 0.027675, -0.037005, 0.531881, 0.271516, -0.208143, -0.441602], [-0.004362, 0.008643, -0.212684, 0.379839, 0.073033, -0.425301, 0.271108], [-0.110973, 0.299547, -0.384857, -0.171601, 0.125896, 0.434883, 0.263773]], "network.8.bias": [-0.038141, 0.336676, -0.144317, 0.439993, 0.099003, 0.139272, 0.05973], "network.10.weight": [[-0.185001, -0.133839, -0.225871, 0.565281, -0.41389, 0.04747, 0.023041], [0.307054, -0.03991, -0.212017, -0.514, -0.155995, 0.406714, 0.034973], [0.119518, 0.317674, 0.11432, 0.123787, 0.231367, 0.364787, -0.572105], [-0.00808, 0.089923, -0.488395, 0.222526, 0.187129, -0.069515, -0.019813], [0.424746, 0.376839, -0.250623, -0.151803, 0.015439, 0.35021, 0.085269], [0.101759, 0.344777, 0.407405, -0.307847, 0.222876, -0.159838, 0.089065], [-0.146734, 0.276284, 0.35617, -0.220778, 0.108145, -0.097775, -0.587784]], "network.10.bias": [0.331088, 0.085654, -0.149749, -0.087166, -0.032665, 0.071574, 0.159567], "network.12.weight": [[-0.524812, 0.178466, 0.382914, 0.008361, 0.104678, 0.123107, 0.42877]], "network.12.bias": [-0.265889]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6841011047363281, "train_acc": 0.58, "val_loss": 0.7078993320465088, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6701242327690125, "train_acc": 0.58, "val_loss": 0.6504952907562256, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5938428938388824, "train_acc": 0.63, "val_loss": 0.4340687692165375, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.52084881067276, "train_acc": 0.83, "val_loss": 0.3713046908378601, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.41735322773456573, "train_acc": 0.9, "val_loss": 0.3408185541629791, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3147974908351898, "train_acc": 0.92, "val_loss": 0.2702322006225586, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.28034594655036926, "train_acc": 0.93, "val_loss": 0.25877219438552856, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.22842015326023102, "train_acc": 0.93, "val_loss": 0.26698043942451477, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.1987665891647339, "train_acc": 0.94, "val_loss": 0.3002496361732483, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.1962919682264328, "train_acc": 0.95, "val_loss": 0.35066506266593933, "val_acc": 0.92}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7078993320465088, "final_val_loss": 0.6504952907562256, "initial_val_acc": 0.48, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.4340687692165375, "final_val_loss": 0.35066506266593933, "initial_val_acc": 0.84, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 3}, "improvement": 0.4799999999999999, "first_improvement_epoch": 1}}
|
9,658
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.54, "improved_accuracy": 0.78, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1930, "learning_rate": 0.048495013142977675, "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: 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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[
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]
],
"network.0.bias": [
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## Activation Signature
### 0
mean: [-0.589926, -1.373688, -0.297248, 0.148853, 0.635742, -0.093772, 2.606626]
std: [2.386572, 2.717072, 1.493686, 1.350782, 1.103832, 1.702407, 3.140573]
pca: [[0.418254, 0.201895, 0.789722, -0.301391, -0.109977, -0.239976, 0.011022, 0.000000, 0.000000, 0.000000], [-0.566118, 0.299168, 0.396967, 0.136758, 0.313157, 0.232597, -0.511424, 0.000000, 0.000000, 0.000000], [0.045476, -0.490419, 0.340890, 0.043516, -0.009726, 0.750892, 0.274568, 0.000000, 0.000000, 0.000000], [0.138994, -0.412527, 0.115503, 0.221369, 0.783894, -0.358741, 0.070515, 0.000000, 0.000000, 0.000000], [-0.122971, -0.075376, 0.255173, 0.810241, -0.415021, -0.259223, 0.134736, 0.000000, 0.000000, 0.000000], [-0.126972, 0.580772, 0.014653, 0.087818, 0.284512, 0.108786, 0.738833, 0.000000, 0.000000, 0.000000], [0.672266, 0.340690, -0.154539, 0.418760, 0.148539, 0.341680, -0.306491, 0.000000, 0.000000, 0.000000]]
fourier: [[35.534293, 35.834355, 40.640671, 42.014521, 53.093332], [44.393176, 48.698853, 50.889923, 57.161866, 123.631910], [20.476094, 26.290810, 26.752350, 28.346971, 31.302546], [19.278251, 19.353186, 20.006569, 20.295802, 26.184486], [17.967076, 18.237381, 20.813761, 21.052385, 57.216809], [23.468257, 23.575863, 25.109857, 25.764144, 29.088594], [46.997788, 50.408648, 57.392654, 65.257640, 234.596309]]
### 2
mean: [-2.030155, -1.394125, 0.173099, -1.435206, -1.335359, -2.128442, 1.934643]
std: [1.851254, 1.920696, 1.872335, 0.817153, 1.823235, 1.357370, 1.952513]
pca: [[-0.421045, -0.226929, 0.219561, 0.531953, -0.011676, -0.585820, -0.311003, 0.000000, 0.000000, 0.000000], [-0.436104, 0.152178, -0.533943, 0.067279, 0.002383, 0.417145, -0.568347, 0.000000, 0.000000, 0.000000], [-0.400315, 0.611332, 0.595671, -0.253182, 0.193828, 0.074114, -0.063517, 0.000000, 0.000000, 0.000000], [-0.133821, -0.535018, 0.104246, -0.172607, 0.788438, 0.181827, -0.022179, 0.000000, 0.000000, 0.000000], [-0.413664, 0.228170, -0.400331, 0.233556, 0.233303, -0.107575, 0.704276, 0.000000, 0.000000, 0.000000], [-0.297308, -0.343916, 0.356004, 0.277691, -0.400112, 0.596723, 0.270758, 0.000000, 0.000000, 0.000000], [0.441434, 0.308276, 0.118334, 0.697814, 0.355155, 0.276767, -0.080118, 0.000000, 0.000000, 0.000000]]
fourier: [[29.327138, 29.451785, 30.566304, 37.161210, 182.713972], [30.658024, 33.073126, 33.952414, 37.383162, 125.471200], [29.229852, 29.781030, 29.859512, 32.407951, 33.419856], [12.904400, 13.635456, 14.061165, 16.748216, 129.168527], [28.905313, 30.541601, 31.421965, 34.789717, 120.182295], [21.053432, 21.649815, 22.686808, 29.503394, 191.559751], [29.675125, 31.868941, 32.212868, 39.564152, 174.117831]]
### 4
mean: [0.415018, 0.333410, -1.345929, 1.717358, 0.330756, -0.272713, 0.863986]
std: [0.761891, 0.858242, 0.791364, 1.783978, 0.737989, 0.935991, 0.899300]
pca: [[-0.289722, -0.218400, -0.181564, -0.587953, 0.156871, -0.034018, 0.681133, 0.000000, 0.000000, 0.000000], [-0.317236, -0.311647, 0.306923, -0.007047, -0.275202, 0.793157, -0.056140, 0.000000, 0.000000, 0.000000], [-0.204670, 0.599365, 0.435372, 0.321802, -0.148801, -0.025952, 0.531932, 0.000000, 0.000000, 0.000000], [0.690451, -0.395011, 0.464074, 0.091851, 0.185675, 0.029878, 0.328748, 0.000000, 0.000000, 0.000000], [-0.272119, -0.271182, -0.302571, 0.675518, 0.509816, 0.097838, 0.187225, 0.000000, 0.000000, 0.000000], [-0.370091, -0.022831, 0.587983, -0.203781, 0.569527, -0.211774, -0.325655, 0.000000, 0.000000, 0.000000], [-0.292907, -0.515601, 0.175062, 0.210753, -0.508689, -0.560141, 0.027854, 0.000000, 0.000000, 0.000000]]
fourier: [[12.369863, 12.447380, 12.530696, 15.837212, 37.351660], [13.415600, 13.809725, 14.391263, 17.388555, 30.006867], [13.178242, 13.407211, 14.290911, 14.672690, 121.133570], [28.359190, 31.668252, 33.944714, 36.293236, 154.562170], [11.446893, 11.613785, 11.801344, 15.577136, 29.768026], [15.284275, 15.862337, 17.586693, 18.489204, 24.544160], [12.808603, 13.739696, 15.794866, 17.254525, 77.758746]]
### 6
mean: [-0.803334, -0.905856, -0.833422, 0.959369, 0.089361, 0.802544, -0.560626]
std: [0.425525, 0.524032, 0.521033, 0.797248, 1.713030, 2.617187, 0.257528]
pca: [[-0.120100, -0.229407, 0.283804, 0.001963, -0.503008, 0.682055, 0.366311, 0.000000, 0.000000, 0.000000], [0.115082, -0.518157, 0.355513, 0.617075, -0.213639, -0.366388, -0.176681, 0.000000, 0.000000, 0.000000], [-0.148946, -0.260826, -0.171958, 0.337171, 0.606481, 0.066671, 0.627906, 0.000000, 0.000000, 0.000000], [-0.190078, 0.711652, 0.467501, 0.300776, -0.075208, -0.212677, 0.312269, 0.000000, 0.000000, 0.000000], [0.521825, -0.166966, 0.515281, -0.507187, 0.181956, -0.212023, 0.314654, 0.000000, 0.000000, 0.000000], [0.797551, 0.262009, -0.306885, 0.362450, -0.118472, 0.207846, 0.111713, 0.000000, 0.000000, 0.000000], [-0.075025, -0.088777, -0.430403, -0.162650, -0.529832, -0.512573, 0.480974, 0.000000, 0.000000, 0.000000]]
fourier: [[6.086592, 6.528788, 7.268176, 8.299750, 72.300025], [8.154515, 8.178375, 9.056068, 10.572552, 81.527011], [7.476410, 8.199750, 8.870936, 9.971989, 75.007993], [12.452473, 12.759610, 13.451695, 16.122704, 86.343247], [25.030905, 28.316801, 28.520250, 29.893686, 35.567120], [41.902765, 42.093730, 43.189491, 54.821153, 72.228964], [3.737610, 3.753816, 4.480982, 5.004600, 50.456383]]
### 8
mean: [0.860950, 0.225687, -0.912387, 1.240722, 0.881962, 0.476291, -0.633568]
std: [0.958021, 0.808394, 0.688623, 1.940397, 1.335363, 0.762437, 0.484131]
pca: [[-0.330156, 0.337323, -0.244552, -0.478564, 0.436719, -0.379486, 0.391979, 0.000000, 0.000000, 0.000000], [0.282997, 0.013761, 0.043047, 0.422858, -0.116387, -0.050663, 0.850264, 0.000000, 0.000000, 0.000000], [-0.225101, -0.491195, 0.770581, -0.164853, 0.227985, -0.111759, 0.150393, 0.000000, 0.000000, 0.000000], [0.675177, 0.427312, 0.354697, -0.226394, 0.372187, 0.201161, -0.074071, 0.000000, 0.000000, 0.000000], [-0.452259, 0.676618, 0.447173, 0.220594, -0.289621, 0.065823, -0.028491, 0.000000, 0.000000, 0.000000], [-0.266906, -0.013023, -0.115403, 0.515646, 0.696642, 0.402857, -0.042192, 0.000000, 0.000000, 0.000000], [-0.169109, -0.064609, -0.073855, -0.446301, -0.189843, 0.796142, 0.304478, 0.000000, 0.000000, 0.000000]]
fourier: [[15.321658, 15.323685, 16.094146, 20.354146, 77.485513], [11.854254, 12.092897, 13.100059, 16.595509, 20.311789], [9.696812, 10.041264, 11.367342, 11.764035, 82.114859], [28.319577, 29.894168, 30.708425, 38.565839, 111.664948], [22.268875, 22.377787, 22.732694, 28.329758, 79.376548], [11.149460, 11.384362, 12.377648, 15.664584, 42.866225], [7.043025, 7.368712, 7.748790, 9.772072, 57.021153]]
### 10
mean: [3.491871, -0.497935, 0.161331, -0.325787, 0.729163, -0.649192, -1.132668]
std: [3.187746, 0.176328, 1.865848, 0.233232, 0.766496, 0.373473, 0.227331]
pca: [[0.840611, 0.424750, 0.107482, -0.277416, -0.110510, 0.101152, -0.044762, 0.000000, 0.000000, 0.000000], [-0.042533, -0.175169, 0.084785, -0.373196, -0.550580, -0.347127, 0.630403, 0.000000, 0.000000, 0.000000], [-0.486125, 0.748162, 0.166047, -0.126534, -0.100936, 0.343712, 0.178960, 0.000000, 0.000000, 0.000000], [0.057846, -0.183265, -0.532802, -0.342555, 0.367046, 0.501790, 0.418724, 0.000000, 0.000000, 0.000000], [0.201869, 0.135167, 0.196711, 0.624686, 0.330328, -0.102897, 0.626375, 0.000000, 0.000000, 0.000000], [-0.098422, 0.014195, 0.414710, -0.509794, 0.649502, -0.369286, 0.003649, 0.000000, 0.000000, 0.000000], [0.038228, -0.420830, 0.677592, -0.016988, -0.093643, 0.593616, 0.029539, 0.000000, 0.000000, 0.000000]]
fourier: [[49.212311, 51.063984, 54.433985, 70.379938, 314.268390], [2.694461, 2.766151, 3.216254, 3.574148, 44.814149], [26.935352, 27.729525, 28.301533, 29.797253, 40.389789], [3.214825, 3.378646, 3.593871, 4.975780, 29.320845], [11.812452, 12.424078, 13.216118, 16.754258, 65.624624], [5.714506, 5.723124, 5.810315, 8.296759, 58.427319], [3.232356, 3.374198, 3.450415, 4.507497, 101.940112]]
### 12
mean: [-4.592660]
std: [3.802415]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.002559, 59.326922, 66.764412, 84.485787, 413.339420]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
mean: [-0.589926, -1.373688, -0.297248, 0.148853, 0.635742, -0.093772, 2.606626]
std: [2.386572, 2.717072, 1.493686, 1.350782, 1.103832, 1.702407, 3.140573]
pca: [[0.418254, 0.201895, 0.789722, -0.301391, -0.109977, -0.239976, 0.011022, 0.000000, 0.000000, 0.000000], [-0.566118, 0.299168, 0.396967, 0.136758, 0.313157, 0.232597, -0.511424, 0.000000, 0.000000, 0.000000], [0.045476, -0.490419, 0.340890, 0.043516, -0.009726, 0.750892, 0.274568, 0.000000, 0.000000, 0.000000], [0.138994, -0.412527, 0.115503, 0.221369, 0.783894, -0.358741, 0.070515, 0.000000, 0.000000, 0.000000], [-0.122971, -0.075376, 0.255173, 0.810241, -0.415021, -0.259223, 0.134736, 0.000000, 0.000000, 0.000000], [-0.126972, 0.580772, 0.014653, 0.087818, 0.284512, 0.108786, 0.738833, 0.000000, 0.000000, 0.000000], [0.672266, 0.340690, -0.154539, 0.418760, 0.148539, 0.341680, -0.306491, 0.000000, 0.000000, 0.000000]]
fourier: [[35.534293, 35.834355, 40.640671, 42.014521, 53.093332], [44.393176, 48.698853, 50.889923, 57.161866, 123.631910], [20.476094, 26.290810, 26.752350, 28.346971, 31.302546], [19.278251, 19.353186, 20.006569, 20.295802, 26.184486], [17.967076, 18.237381, 20.813761, 21.052385, 57.216809], [23.468257, 23.575863, 25.109857, 25.764144, 29.088594], [46.997788, 50.408648, 57.392654, 65.257640, 234.596309]]
### 2
mean: [-2.030155, -1.394125, 0.173099, -1.435206, -1.335359, -2.128442, 1.934643]
std: [1.851254, 1.920696, 1.872335, 0.817153, 1.823235, 1.357370, 1.952513]
pca: [[-0.421045, -0.226929, 0.219561, 0.531953, -0.011676, -0.585820, -0.311003, 0.000000, 0.000000, 0.000000], [-0.436104, 0.152178, -0.533943, 0.067279, 0.002383, 0.417145, -0.568347, 0.000000, 0.000000, 0.000000], [-0.400315, 0.611332, 0.595671, -0.253182, 0.193828, 0.074114, -0.063517, 0.000000, 0.000000, 0.000000], [-0.133821, -0.535018, 0.104246, -0.172607, 0.788438, 0.181827, -0.022179, 0.000000, 0.000000, 0.000000], [-0.413664, 0.228170, -0.400331, 0.233556, 0.233303, -0.107575, 0.704276, 0.000000, 0.000000, 0.000000], [-0.297308, -0.343916, 0.356004, 0.277691, -0.400112, 0.596723, 0.270758, 0.000000, 0.000000, 0.000000], [0.441434, 0.308276, 0.118334, 0.697814, 0.355155, 0.276767, -0.080118, 0.000000, 0.000000, 0.000000]]
fourier: [[29.327138, 29.451785, 30.566304, 37.161210, 182.713972], [30.658024, 33.073126, 33.952414, 37.383162, 125.471200], [29.229852, 29.781030, 29.859512, 32.407951, 33.419856], [12.904400, 13.635456, 14.061165, 16.748216, 129.168527], [28.905313, 30.541601, 31.421965, 34.789717, 120.182295], [21.053432, 21.649815, 22.686808, 29.503394, 191.559751], [29.675125, 31.868941, 32.212868, 39.564152, 174.117831]]
### 4
mean: [0.415018, 0.333410, -1.345929, 1.717358, 0.330756, -0.272713, 0.863986]
std: [0.761891, 0.858242, 0.791364, 1.783978, 0.737989, 0.935991, 0.899300]
pca: [[-0.289722, -0.218400, -0.181564, -0.587953, 0.156871, -0.034018, 0.681133, 0.000000, 0.000000, 0.000000], [-0.317236, -0.311647, 0.306923, -0.007047, -0.275202, 0.793157, -0.056140, 0.000000, 0.000000, 0.000000], [-0.204670, 0.599365, 0.435372, 0.321802, -0.148801, -0.025952, 0.531932, 0.000000, 0.000000, 0.000000], [0.690451, -0.395011, 0.464074, 0.091851, 0.185675, 0.029878, 0.328748, 0.000000, 0.000000, 0.000000], [-0.272119, -0.271182, -0.302571, 0.675518, 0.509816, 0.097838, 0.187225, 0.000000, 0.000000, 0.000000], [-0.370091, -0.022831, 0.587983, -0.203781, 0.569527, -0.211774, -0.325655, 0.000000, 0.000000, 0.000000], [-0.292907, -0.515601, 0.175062, 0.210753, -0.508689, -0.560141, 0.027854, 0.000000, 0.000000, 0.000000]]
fourier: [[12.369863, 12.447380, 12.530696, 15.837212, 37.351660], [13.415600, 13.809725, 14.391263, 17.388555, 30.006867], [13.178242, 13.407211, 14.290911, 14.672690, 121.133570], [28.359190, 31.668252, 33.944714, 36.293236, 154.562170], [11.446893, 11.613785, 11.801344, 15.577136, 29.768026], [15.284275, 15.862337, 17.586693, 18.489204, 24.544160], [12.808603, 13.739696, 15.794866, 17.254525, 77.758746]]
### 6
mean: [-0.803334, -0.905856, -0.833422, 0.959369, 0.089361, 0.802544, -0.560626]
std: [0.425525, 0.524032, 0.521033, 0.797248, 1.713030, 2.617187, 0.257528]
pca: [[-0.120100, -0.229407, 0.283804, 0.001963, -0.503008, 0.682055, 0.366311, 0.000000, 0.000000, 0.000000], [0.115082, -0.518157, 0.355513, 0.617075, -0.213639, -0.366388, -0.176681, 0.000000, 0.000000, 0.000000], [-0.148946, -0.260826, -0.171958, 0.337171, 0.606481, 0.066671, 0.627906, 0.000000, 0.000000, 0.000000], [-0.190078, 0.711652, 0.467501, 0.300776, -0.075208, -0.212677, 0.312269, 0.000000, 0.000000, 0.000000], [0.521825, -0.166966, 0.515281, -0.507187, 0.181956, -0.212023, 0.314654, 0.000000, 0.000000, 0.000000], [0.797551, 0.262009, -0.306885, 0.362450, -0.118472, 0.207846, 0.111713, 0.000000, 0.000000, 0.000000], [-0.075025, -0.088777, -0.430403, -0.162650, -0.529832, -0.512573, 0.480974, 0.000000, 0.000000, 0.000000]]
fourier: [[6.086592, 6.528788, 7.268176, 8.299750, 72.300025], [8.154515, 8.178375, 9.056068, 10.572552, 81.527011], [7.476410, 8.199750, 8.870936, 9.971989, 75.007993], [12.452473, 12.759610, 13.451695, 16.122704, 86.343247], [25.030905, 28.316801, 28.520250, 29.893686, 35.567120], [41.902765, 42.093730, 43.189491, 54.821153, 72.228964], [3.737610, 3.753816, 4.480982, 5.004600, 50.456383]]
### 8
mean: [0.860950, 0.225687, -0.912387, 1.240722, 0.881962, 0.476291, -0.633568]
std: [0.958021, 0.808394, 0.688623, 1.940397, 1.335363, 0.762437, 0.484131]
pca: [[-0.330156, 0.337323, -0.244552, -0.478564, 0.436719, -0.379486, 0.391979, 0.000000, 0.000000, 0.000000], [0.282997, 0.013761, 0.043047, 0.422858, -0.116387, -0.050663, 0.850264, 0.000000, 0.000000, 0.000000], [-0.225101, -0.491195, 0.770581, -0.164853, 0.227985, -0.111759, 0.150393, 0.000000, 0.000000, 0.000000], [0.675177, 0.427312, 0.354697, -0.226394, 0.372187, 0.201161, -0.074071, 0.000000, 0.000000, 0.000000], [-0.452259, 0.676618, 0.447173, 0.220594, -0.289621, 0.065823, -0.028491, 0.000000, 0.000000, 0.000000], [-0.266906, -0.013023, -0.115403, 0.515646, 0.696642, 0.402857, -0.042192, 0.000000, 0.000000, 0.000000], [-0.169109, -0.064609, -0.073855, -0.446301, -0.189843, 0.796142, 0.304478, 0.000000, 0.000000, 0.000000]]
fourier: [[15.321658, 15.323685, 16.094146, 20.354146, 77.485513], [11.854254, 12.092897, 13.100059, 16.595509, 20.311789], [9.696812, 10.041264, 11.367342, 11.764035, 82.114859], [28.319577, 29.894168, 30.708425, 38.565839, 111.664948], [22.268875, 22.377787, 22.732694, 28.329758, 79.376548], [11.149460, 11.384362, 12.377648, 15.664584, 42.866225], [7.043025, 7.368712, 7.748790, 9.772072, 57.021153]]
### 10
mean: [3.491871, -0.497935, 0.161331, -0.325787, 0.729163, -0.649192, -1.132668]
std: [3.187746, 0.176328, 1.865848, 0.233232, 0.766496, 0.373473, 0.227331]
pca: [[0.840611, 0.424750, 0.107482, -0.277416, -0.110510, 0.101152, -0.044762, 0.000000, 0.000000, 0.000000], [-0.042533, -0.175169, 0.084785, -0.373196, -0.550580, -0.347127, 0.630403, 0.000000, 0.000000, 0.000000], [-0.486125, 0.748162, 0.166047, -0.126534, -0.100936, 0.343712, 0.178960, 0.000000, 0.000000, 0.000000], [0.057846, -0.183265, -0.532802, -0.342555, 0.367046, 0.501790, 0.418724, 0.000000, 0.000000, 0.000000], [0.201869, 0.135167, 0.196711, 0.624686, 0.330328, -0.102897, 0.626375, 0.000000, 0.000000, 0.000000], [-0.098422, 0.014195, 0.414710, -0.509794, 0.649502, -0.369286, 0.003649, 0.000000, 0.000000, 0.000000], [0.038228, -0.420830, 0.677592, -0.016988, -0.093643, 0.593616, 0.029539, 0.000000, 0.000000, 0.000000]]
fourier: [[49.212311, 51.063984, 54.433985, 70.379938, 314.268390], [2.694461, 2.766151, 3.216254, 3.574148, 44.814149], [26.935352, 27.729525, 28.301533, 29.797253, 40.389789], [3.214825, 3.378646, 3.593871, 4.975780, 29.320845], [11.812452, 12.424078, 13.216118, 16.754258, 65.624624], [5.714506, 5.723124, 5.810315, 8.296759, 58.427319], [3.232356, 3.374198, 3.450415, 4.507497, 101.940112]]
### 12
mean: [-4.592660]
std: [3.802415]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.002559, 59.326922, 66.764412, 84.485787, 413.339420]]
## 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": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.436547, 0.29007, 0.273355, -0.064857, -1.178572], [-1.399994, 0.390379, -0.034374, -0.556727, 0.505207], [0.243141, -0.043651, -0.574706, 0.469537, -0.257643], [0.492389, -0.010602, -0.528742, 0.326129, -0.157407], [-0.360816, 0.528158, -0.25853, -0.019807, 0.219813], [-0.570072, 0.320193, 0.516697, -0.653959, 0.165559], [1.150043, 0.321531, 0.562597, -0.162842, -0.656682]], "network.0.bias": [-0.64011, 0.299756, -0.008921, 0.154676, 0.433747, 0.151055, 0.573471], "network.2.weight": [[-0.29235, -0.212651, 0.072241, -0.454583, 0.091894, 0.169411, -0.506068], [-0.130494, 0.066219, 0.25197, 0.292535, -0.023152, 0.443282, -0.637624], [-0.421765, 0.561408, 0.141318, 0.040269, 0.251965, 0.737514, -0.36795], [-0.546724, -0.167409, -0.096061, -0.255709, -0.209121, -0.250165, -0.064953], [-0.175374, 0.027255, 0.454095, 0.059134, 0.052913, 0.509688, -0.548835], [-0.114483, -0.03261, -0.287512, -0.297062, -0.10525, -0.064248, -0.409273], [0.493608, -0.329775, -0.03378, 0.096177, 0.028684, 0.154007, 0.494867]], "network.2.bias": [-0.29671, -0.086008, 0.491161, -0.350829, -0.283654, -0.479118, 0.219085], "network.4.weight": [[-0.049294, 0.049538, 0.516323, 0.146407, 0.545999, -0.175351, -0.137104], [-0.0828, 0.128227, 0.70455, 0.229396, 0.100512, 0.213235, -0.117009], [-0.330479, -0.076871, -0.320864, -0.338562, -0.236262, -0.095355, -0.468547], [0.104006, -0.355842, -0.309571, 0.10349, -0.779389, -0.13207, 0.77146], [0.446945, 0.529324, 0.540167, -0.058818, 0.141481, -0.176652, -0.092193], [0.154098, -0.075675, 0.506579, -0.169401, 0.041924, -0.202647, -0.305724], [0.49992, 0.28395, 0.867455, -0.027481, 0.087694, 0.068456, 0.004981]], "network.4.bias": [0.212327, -0.026205, -0.14395, 0.569798, 0.008861, -0.078408, 0.120505], "network.6.weight": [[-0.496695, 0.099735, 0.331697, -0.021822, 0.07706, -0.312621, -0.120925], [-0.181632, 0.162183, -0.162245, -0.346459, 0.161758, -0.323536, -0.080857], [0.189972, -0.160416, 0.239997, 0.007492, -0.282812, -0.027252, -0.370254], [0.392588, -0.195987, 0.025944, 0.529294, -0.09868, -0.487074, 0.302871], [-0.030032, 0.6833, -0.330954, -0.52808, -0.016067, 0.064528, 0.622757], [0.666531, 0.365381, 0.050975, -0.529519, 0.714041, 0.579736, 0.666692], [-0.326924, -0.211569, 0.263883, 0.004377, 0.279173, 0.294071, -0.213161]], "network.6.bias": [-0.410459, -0.193556, -0.413713, -0.205267, 0.171723, 0.195247, -0.302751], "network.8.weight": [[-0.147698, 0.218447, -0.27315, 0.377152, -0.264619, -0.216943, 0.117983], [-0.187028, 0.113272, 0.147362, -0.097486, 0.171826, 0.267462, 0.354298], [0.333641, 0.226921, -0.252696, -0.288659, 0.258979, -0.510096, -0.363164], [-0.086826, -0.138582, 0.035161, 0.054363, 0.605857, 0.598442, 0.067786], [0.126421, -0.088873, 0.271724, 0.662908, 0.111846, -0.519209, 0.27805], [-0.395471, -0.187796, -0.276808, 0.093044, -0.204708, -0.229014, 0.361912], [-0.033339, 0.354629, 0.038407, 0.017425, -0.137674, -0.150344, -0.18501]], "network.8.bias": [0.987736, -0.173374, -0.113227, -0.071033, 0.885472, 0.849754, -0.344177], "network.10.weight": [[1.030927, -0.45971, 0.061077, -0.419295, 1.357153, 0.924574, 0.079551], [-0.231002, -0.148043, -0.015216, 0.035173, -0.046084, -0.012508, -0.195714], [-0.680465, 0.136498, -0.211664, 0.588141, -0.222271, -0.221196, -0.2773], [0.023894, -0.111185, -0.050973, -0.045272, -0.088756, 0.318012, -0.191627], [0.494069, 0.153346, 0.035773, -0.195392, 0.263002, -0.053494, -0.116416], [-0.495324, -0.088089, 0.241969, 0.102594, 0.114118, -0.053027, 0.139009], [-0.158801, -0.020429, 0.179798, -0.18071, 0.061783, -0.34838, 0.226533]], "network.10.bias": [1.026978, -0.19167, 0.452657, -0.352169, 0.151935, -0.340799, -0.588021], "network.12.weight": [[-1.197344, 0.073966, 0.342113, 0.100036, -0.394108, -0.179013, 0.135954]], "network.12.bias": [0.023065]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6944332420825958, "train_acc": 0.525, "val_loss": 0.6887527704238892, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6896788477897644, "train_acc": 0.565, "val_loss": 0.688077986240387, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6758576035499573, "train_acc": 0.565, "val_loss": 0.6689332723617554, "val_acc": 0.54}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6527571976184845, "train_acc": 0.565, "val_loss": 0.6527817249298096, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6563649475574493, "train_acc": 0.545, "val_loss": 0.5978086590766907, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5606933534145355, "train_acc": 0.79, "val_loss": 0.5640021562576294, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5544833093881607, "train_acc": 0.79, "val_loss": 0.5475331544876099, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.46961061656475067, "train_acc": 0.8, "val_loss": 0.49950531125068665, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4596550613641739, "train_acc": 0.785, "val_loss": 0.5203401446342468, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.4408252537250519, "train_acc": 0.82, "val_loss": 0.4951917231082916, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.4009084552526474, "train_acc": 0.82, "val_loss": 0.5086058974266052, "val_acc": 0.74}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.4093763530254364, "train_acc": 0.825, "val_loss": 0.5553449988365173, "val_acc": 0.76}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.3873763382434845, "train_acc": 0.83, "val_loss": 0.5029155611991882, "val_acc": 0.78}], "summary": {"total_epochs": 13, "degraded_epochs": 4, "improved_epochs": 9, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6887527704238892, "final_val_loss": 0.6527817249298096, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5978086590766907, "final_val_loss": 0.5029155611991882, "initial_val_acc": 0.72, "final_val_acc": 0.78, "best_val_acc": 0.78, "best_epoch": 12}, "improvement": 0.24, "first_improvement_epoch": 3}}
|
9,659
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.56, "improved_accuracy": 0.92, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6108, "learning_rate": 0.02983720998321545, "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: 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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[
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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.12.bias": [
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]
}
## Activation Signature
### 0
mean: [1.733529, 2.295681, -2.074068, -0.066905, -2.612184, -0.487564]
std: [1.758937, 1.782978, 1.350170, 1.453408, 2.667674, 1.194620]
pca: [[-0.464856, -0.023100, 0.201838, 0.571508, 0.421188, -0.488483, 0.000000, 0.000000, 0.000000, 0.000000], [-0.442062, -0.338007, -0.392767, 0.063621, 0.342397, 0.644037, 0.000000, 0.000000, 0.000000, 0.000000], [0.265010, 0.396970, 0.279469, -0.275895, 0.764922, 0.181266, 0.000000, 0.000000, 0.000000, 0.000000], [-0.190921, -0.455115, 0.812865, -0.198924, -0.115412, 0.206833, 0.000000, 0.000000, 0.000000, 0.000000], [0.691763, -0.463488, 0.023102, 0.519540, 0.153051, 0.112968, 0.000000, 0.000000, 0.000000, 0.000000], [-0.057202, 0.552884, 0.256144, 0.532654, -0.288990, 0.508136, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.624901, 31.535960, 33.967575, 34.065773, 156.017645], [27.017553, 28.499551, 34.716304, 35.306549, 206.611333], [20.817719, 21.270100, 21.573959, 26.453985, 186.666134], [21.737716, 22.388953, 22.518183, 24.279261, 25.627704], [44.178900, 50.913327, 51.145534, 54.022004, 235.096511], [20.205985, 21.516161, 22.167340, 25.516128, 43.880742]]
### 2
mean: [0.358094, 2.302054, -0.938295, 0.360757, 1.718738, 1.140463]
std: [0.424941, 2.122596, 1.054319, 0.605285, 1.323404, 1.105102]
pca: [[0.034117, -0.296809, 0.381464, -0.506103, 0.623057, -0.347685, 0.000000, 0.000000, 0.000000, 0.000000], [0.767687, -0.021818, 0.495107, 0.089224, -0.366831, -0.150082, 0.000000, 0.000000, 0.000000, 0.000000], [-0.147976, 0.846503, 0.389371, 0.178914, 0.255247, -0.112985, 0.000000, 0.000000, 0.000000, 0.000000], [-0.125014, -0.364725, 0.448844, 0.551956, 0.291369, 0.510230, 0.000000, 0.000000, 0.000000, 0.000000], [0.470201, 0.021965, -0.490426, 0.455687, 0.526171, -0.231094, 0.000000, 0.000000, 0.000000, 0.000000], [0.388431, 0.247698, -0.125564, -0.437701, 0.224349, 0.728070, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.691233, 7.094124, 7.273193, 8.359739, 32.228457], [33.597993, 37.506399, 37.532944, 38.033638, 207.184830], [16.974813, 17.776279, 18.056400, 18.796729, 84.446570], [9.498069, 10.284573, 10.573305, 11.612509, 32.468090], [20.112039, 20.273279, 20.907226, 22.491833, 154.686450], [18.476512, 18.758766, 19.381479, 19.895493, 102.641623]]
### 4
mean: [0.727829, 2.775429, 2.416197, 0.386418, 2.321836, 1.053145]
std: [0.609666, 2.637847, 2.717375, 0.278500, 2.649202, 0.231489]
pca: [[-0.046077, 0.860311, 0.003857, -0.439365, -0.253713, 0.017741, 0.000000, 0.000000, 0.000000, 0.000000], [0.569860, 0.084468, -0.529545, -0.203398, 0.506112, -0.300312, 0.000000, 0.000000, 0.000000, 0.000000], [0.587340, 0.065398, 0.289912, 0.339229, -0.499404, -0.449695, 0.000000, 0.000000, 0.000000, 0.000000], [0.010849, 0.398969, -0.367113, 0.761115, 0.051872, 0.352063, 0.000000, 0.000000, 0.000000, 0.000000], [0.572563, -0.096842, 0.219398, -0.199929, -0.029837, 0.757493, 0.000000, 0.000000, 0.000000, 0.000000], [0.014910, 0.282663, 0.672764, 0.176761, 0.653066, -0.097613, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.502339, 9.633339, 9.852333, 13.311194, 65.504579], [42.558787, 44.082848, 44.247935, 44.500988, 249.788631], [44.383324, 45.454933, 45.977079, 47.492243, 217.457759], [3.835379, 4.852029, 5.776670, 6.306932, 34.777651], [43.547553, 43.815964, 44.511371, 47.250795, 208.965221], [3.237471, 3.536675, 4.054050, 4.647964, 94.783083]]
### 6
mean: [-1.159928, 3.544458, 1.783223, 3.972550, -1.786750, 3.146990]
std: [0.398969, 4.647104, 2.742772, 5.362778, 0.990914, 3.794970]
pca: [[0.000870, 0.843372, -0.102565, -0.107243, -0.506237, 0.102112, 0.000000, 0.000000, 0.000000, 0.000000], [0.543150, -0.105810, 0.348549, 0.036351, -0.102655, 0.748630, 0.000000, 0.000000, 0.000000, 0.000000], [0.319732, 0.422427, -0.338949, 0.218772, 0.742091, 0.076676, 0.000000, 0.000000, 0.000000, 0.000000], [0.626826, -0.049741, -0.032930, -0.654823, -0.020613, -0.417507, 0.000000, 0.000000, 0.000000, 0.000000], [-0.114430, 0.309697, 0.862833, -0.038298, 0.302330, -0.231610, 0.000000, 0.000000, 0.000000, 0.000000], [0.443569, -0.026398, 0.086848, 0.713482, -0.301096, -0.441918, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.641334, 6.666799, 8.017088, 8.288730, 104.393494], [73.631779, 75.596589, 77.822780, 84.058317, 319.001178], [43.317484, 43.509287, 46.000566, 50.099910, 160.490088], [84.786062, 87.067819, 89.811133, 97.304388, 357.529526], [15.815080, 16.386031, 16.593096, 16.961092, 160.807536], [60.096323, 61.671310, 63.438040, 68.379634, 283.229135]]
### 8
mean: [4.401400, -3.980714, 2.968493, -1.036202, 7.179283, 2.423493]
std: [5.439443, 4.577828, 4.273433, 1.181398, 8.930155, 3.485279]
pca: [[0.427236, -0.051270, 0.593552, 0.584648, 0.215031, 0.272919, 0.000000, 0.000000, 0.000000, 0.000000], [-0.359562, 0.199286, -0.343383, 0.306857, 0.783367, 0.072549, 0.000000, 0.000000, 0.000000, 0.000000], [0.335652, 0.105067, -0.508924, 0.588706, -0.286107, -0.434584, 0.000000, 0.000000, 0.000000, 0.000000], [-0.092768, 0.640041, -0.144734, 0.107419, -0.370376, 0.641932, 0.000000, 0.000000, 0.000000, 0.000000], [0.701415, 0.405867, -0.124218, -0.452364, 0.346597, -0.055641, 0.000000, 0.000000, 0.000000, 0.000000], [0.273740, -0.610112, -0.484150, -0.035758, 0.030561, 0.562330, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[84.385329, 84.779024, 92.901674, 100.759320, 396.125979], [71.075320, 71.276143, 78.310623, 84.805768, 358.264264], [66.383441, 66.666699, 72.938806, 79.088593, 267.164346], [18.276580, 18.290959, 20.202155, 21.979710, 93.258178], [138.809577, 139.321102, 152.562545, 165.215996, 646.135401], [54.138408, 54.203076, 59.549954, 64.603721, 218.114409]]
### 10
mean: [5.146846, 10.180924, -0.704502, -0.804677, -1.077974, 3.787259]
std: [6.940135, 12.955544, 1.584065, 1.608162, 1.570369, 5.307863]
pca: [[0.437418, 0.000720, -0.556957, -0.498396, -0.219860, 0.449139, 0.000000, 0.000000, 0.000000, 0.000000], [0.816552, 0.292041, 0.199750, 0.110290, -0.032264, -0.441418, 0.000000, 0.000000, 0.000000, 0.000000], [-0.099800, 0.386487, -0.428427, -0.140496, 0.769115, -0.214107, 0.000000, 0.000000, 0.000000, 0.000000], [-0.101266, 0.603010, -0.306886, 0.613748, -0.305826, 0.248453, 0.000000, 0.000000, 0.000000, 0.000000], [-0.098886, 0.585426, 0.579316, -0.427943, 0.036876, 0.356926, 0.000000, 0.000000, 0.000000, 0.000000], [0.334536, -0.242889, 0.191216, 0.399845, 0.513998, 0.607007, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[106.718305, 107.129400, 119.396595, 128.992258, 463.216215], [199.617318, 200.188955, 222.673329, 240.748435, 916.283279], [24.198377, 24.272519, 27.590449, 29.485668, 63.405205], [24.448178, 24.495157, 28.227384, 29.876057, 72.420925], [23.883147, 23.936737, 27.317799, 29.352329, 97.017695], [81.621283, 81.814509, 91.488814, 98.720598, 340.853277]]
### 12
mean: [-7.460547]
std: [9.864956]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[151.680140, 151.734678, 168.527206, 184.472965, 671.449267]]
## 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: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.756499,
0.074211,
0.245489,
0.07725,
-0.182169
],
[
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0.184458,
0.27085,
-0.038405
],
[
-0.151654,
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-0.353696,
-0.358712,
0.276761
],
[
0.098734,
0.490364,
0.203234,
-0.261383,
-0.502711
],
[
-0.727237,
-0.132308,
-0.690132,
0.153695,
-0.41539
],
[
0.303336,
-0.589136,
0.199078,
-0.06884,
0.0718
]
],
"network.0.bias": [
0.203098,
-0.038589,
-0.285181,
-0.327329,
0.158253,
-0.148293
],
"network.2.weight": [
[
0.13868,
-0.003937,
0.261547,
-0.081894,
-0.663383,
-0.798315
],
[
0.546465,
0.629115,
-0.049478,
0.194375,
0.663569,
-0.090385
],
[
0.515303,
-0.560015,
-0.281747,
-0.589047,
0.458298,
0.754471
],
[
-0.09612,
0.085895,
-0.061595,
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-0.82843
],
[
-0.116635,
0.604427,
-0.073079,
0.576865,
0.611064,
0.771515
],
[
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0.174273,
0.016656,
0.376765,
0.408193,
0.542193
]
],
"network.2.bias": [
0.262264,
-0.091165,
-0.390805,
0.570879,
0.242472,
0.063579
],
"network.4.weight": [
[
0.8362,
0.072365,
-0.710882,
0.815555,
-0.138064,
0.012825
],
[
-0.695799,
0.711312,
0.256681,
-0.148653,
0.645791,
0.249455
],
[
-0.385985,
0.69621,
0.38209,
-0.11638,
0.387164,
0.620608
],
[
0.726747,
-0.05458,
-0.306192,
0.290269,
0.180828,
-0.039912
],
[
-0.820985,
0.734804,
0.488063,
-0.222887,
0.37551,
0.506226
],
[
0.112556,
0.012636,
-0.235679,
0.796749,
-0.243938,
0.500077
]
],
"network.4.bias": [
0.248881,
0.110949,
-0.283298,
-0.05678,
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0.583595
],
"network.6.weight": [
[
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-0.242343,
0.138522,
-0.394698
],
[
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0.580106,
0.159506,
0.682066,
-0.179937
],
[
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0.402024,
0.152402,
0.066523,
0.469854,
-0.686883
],
[
-0.292289,
0.585514,
0.739016,
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0.69963,
-0.602485
],
[
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0.022349,
0.176239,
-0.192163,
0.172098
],
[
-0.593117,
0.489739,
0.314078,
0.30341,
0.594711,
-0.081337
]
],
"network.6.bias": [
-0.376396,
-0.248449,
0.160035,
-0.23309,
-0.680306,
0.041345
],
"network.8.weight": [
[
0.623343,
0.237878,
0.267592,
0.665055,
0.666718,
0.065983
],
[
-0.274113,
-0.473305,
-0.258724,
-0.339164,
-0.096506,
-0.015068
],
[
-0.114538,
0.02185,
0.201198,
0.505401,
0.481945,
0.281155
],
[
-0.61762,
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-0.204852,
-0.086123,
0.031632,
0.063116
],
[
0.072092,
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0.37967,
0.694039,
0.02219,
0.43733
],
[
0.36765,
0.075061,
0.322271,
0.317395,
-0.064914,
0.189411
]
],
"network.8.bias": [
0.096902,
-0.263892,
-0.5277,
-0.169646,
-0.219284,
-0.40594
],
"network.10.weight": [
[
0.131862,
0.671124,
0.203899,
-0.096073,
0.54471,
0.171968
],
[
0.577733,
0.188346,
0.411668,
-0.717443,
0.801587,
0.323178
],
[
0.117725,
0.103864,
-0.376541,
0.165917,
-0.039006,
-0.099789
],
[
-0.063104,
-0.128176,
-0.325535,
-0.283343,
0.059623,
-0.135028
],
[
-0.051276,
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-0.505997,
0.147903,
0.111426,
-0.05819
],
[
0.219831,
0.07149,
0.386212,
-0.353476,
0.201456,
0.227645
]
],
"network.10.bias": [
-0.496928,
-0.419565,
0.519163,
0.39988,
0.08864,
-0.491078
],
"network.12.weight": [
[
-0.463677,
-0.395664,
0.461357,
0.728317,
0.179709,
-0.288594
]
],
"network.12.bias": [
0.114063
]
}
## Activation Signature
### 0
mean: [1.733529, 2.295681, -2.074068, -0.066905, -2.612184, -0.487564]
std: [1.758937, 1.782978, 1.350170, 1.453408, 2.667674, 1.194620]
pca: [[-0.464856, -0.023100, 0.201838, 0.571508, 0.421188, -0.488483, 0.000000, 0.000000, 0.000000, 0.000000], [-0.442062, -0.338007, -0.392767, 0.063621, 0.342397, 0.644037, 0.000000, 0.000000, 0.000000, 0.000000], [0.265010, 0.396970, 0.279469, -0.275895, 0.764922, 0.181266, 0.000000, 0.000000, 0.000000, 0.000000], [-0.190921, -0.455115, 0.812865, -0.198924, -0.115412, 0.206833, 0.000000, 0.000000, 0.000000, 0.000000], [0.691763, -0.463488, 0.023102, 0.519540, 0.153051, 0.112968, 0.000000, 0.000000, 0.000000, 0.000000], [-0.057202, 0.552884, 0.256144, 0.532654, -0.288990, 0.508136, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.624901, 31.535960, 33.967575, 34.065773, 156.017645], [27.017553, 28.499551, 34.716304, 35.306549, 206.611333], [20.817719, 21.270100, 21.573959, 26.453985, 186.666134], [21.737716, 22.388953, 22.518183, 24.279261, 25.627704], [44.178900, 50.913327, 51.145534, 54.022004, 235.096511], [20.205985, 21.516161, 22.167340, 25.516128, 43.880742]]
### 2
mean: [0.358094, 2.302054, -0.938295, 0.360757, 1.718738, 1.140463]
std: [0.424941, 2.122596, 1.054319, 0.605285, 1.323404, 1.105102]
pca: [[0.034117, -0.296809, 0.381464, -0.506103, 0.623057, -0.347685, 0.000000, 0.000000, 0.000000, 0.000000], [0.767687, -0.021818, 0.495107, 0.089224, -0.366831, -0.150082, 0.000000, 0.000000, 0.000000, 0.000000], [-0.147976, 0.846503, 0.389371, 0.178914, 0.255247, -0.112985, 0.000000, 0.000000, 0.000000, 0.000000], [-0.125014, -0.364725, 0.448844, 0.551956, 0.291369, 0.510230, 0.000000, 0.000000, 0.000000, 0.000000], [0.470201, 0.021965, -0.490426, 0.455687, 0.526171, -0.231094, 0.000000, 0.000000, 0.000000, 0.000000], [0.388431, 0.247698, -0.125564, -0.437701, 0.224349, 0.728070, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.691233, 7.094124, 7.273193, 8.359739, 32.228457], [33.597993, 37.506399, 37.532944, 38.033638, 207.184830], [16.974813, 17.776279, 18.056400, 18.796729, 84.446570], [9.498069, 10.284573, 10.573305, 11.612509, 32.468090], [20.112039, 20.273279, 20.907226, 22.491833, 154.686450], [18.476512, 18.758766, 19.381479, 19.895493, 102.641623]]
### 4
mean: [0.727829, 2.775429, 2.416197, 0.386418, 2.321836, 1.053145]
std: [0.609666, 2.637847, 2.717375, 0.278500, 2.649202, 0.231489]
pca: [[-0.046077, 0.860311, 0.003857, -0.439365, -0.253713, 0.017741, 0.000000, 0.000000, 0.000000, 0.000000], [0.569860, 0.084468, -0.529545, -0.203398, 0.506112, -0.300312, 0.000000, 0.000000, 0.000000, 0.000000], [0.587340, 0.065398, 0.289912, 0.339229, -0.499404, -0.449695, 0.000000, 0.000000, 0.000000, 0.000000], [0.010849, 0.398969, -0.367113, 0.761115, 0.051872, 0.352063, 0.000000, 0.000000, 0.000000, 0.000000], [0.572563, -0.096842, 0.219398, -0.199929, -0.029837, 0.757493, 0.000000, 0.000000, 0.000000, 0.000000], [0.014910, 0.282663, 0.672764, 0.176761, 0.653066, -0.097613, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.502339, 9.633339, 9.852333, 13.311194, 65.504579], [42.558787, 44.082848, 44.247935, 44.500988, 249.788631], [44.383324, 45.454933, 45.977079, 47.492243, 217.457759], [3.835379, 4.852029, 5.776670, 6.306932, 34.777651], [43.547553, 43.815964, 44.511371, 47.250795, 208.965221], [3.237471, 3.536675, 4.054050, 4.647964, 94.783083]]
### 6
mean: [-1.159928, 3.544458, 1.783223, 3.972550, -1.786750, 3.146990]
std: [0.398969, 4.647104, 2.742772, 5.362778, 0.990914, 3.794970]
pca: [[0.000870, 0.843372, -0.102565, -0.107243, -0.506237, 0.102112, 0.000000, 0.000000, 0.000000, 0.000000], [0.543150, -0.105810, 0.348549, 0.036351, -0.102655, 0.748630, 0.000000, 0.000000, 0.000000, 0.000000], [0.319732, 0.422427, -0.338949, 0.218772, 0.742091, 0.076676, 0.000000, 0.000000, 0.000000, 0.000000], [0.626826, -0.049741, -0.032930, -0.654823, -0.020613, -0.417507, 0.000000, 0.000000, 0.000000, 0.000000], [-0.114430, 0.309697, 0.862833, -0.038298, 0.302330, -0.231610, 0.000000, 0.000000, 0.000000, 0.000000], [0.443569, -0.026398, 0.086848, 0.713482, -0.301096, -0.441918, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.641334, 6.666799, 8.017088, 8.288730, 104.393494], [73.631779, 75.596589, 77.822780, 84.058317, 319.001178], [43.317484, 43.509287, 46.000566, 50.099910, 160.490088], [84.786062, 87.067819, 89.811133, 97.304388, 357.529526], [15.815080, 16.386031, 16.593096, 16.961092, 160.807536], [60.096323, 61.671310, 63.438040, 68.379634, 283.229135]]
### 8
mean: [4.401400, -3.980714, 2.968493, -1.036202, 7.179283, 2.423493]
std: [5.439443, 4.577828, 4.273433, 1.181398, 8.930155, 3.485279]
pca: [[0.427236, -0.051270, 0.593552, 0.584648, 0.215031, 0.272919, 0.000000, 0.000000, 0.000000, 0.000000], [-0.359562, 0.199286, -0.343383, 0.306857, 0.783367, 0.072549, 0.000000, 0.000000, 0.000000, 0.000000], [0.335652, 0.105067, -0.508924, 0.588706, -0.286107, -0.434584, 0.000000, 0.000000, 0.000000, 0.000000], [-0.092768, 0.640041, -0.144734, 0.107419, -0.370376, 0.641932, 0.000000, 0.000000, 0.000000, 0.000000], [0.701415, 0.405867, -0.124218, -0.452364, 0.346597, -0.055641, 0.000000, 0.000000, 0.000000, 0.000000], [0.273740, -0.610112, -0.484150, -0.035758, 0.030561, 0.562330, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[84.385329, 84.779024, 92.901674, 100.759320, 396.125979], [71.075320, 71.276143, 78.310623, 84.805768, 358.264264], [66.383441, 66.666699, 72.938806, 79.088593, 267.164346], [18.276580, 18.290959, 20.202155, 21.979710, 93.258178], [138.809577, 139.321102, 152.562545, 165.215996, 646.135401], [54.138408, 54.203076, 59.549954, 64.603721, 218.114409]]
### 10
mean: [5.146846, 10.180924, -0.704502, -0.804677, -1.077974, 3.787259]
std: [6.940135, 12.955544, 1.584065, 1.608162, 1.570369, 5.307863]
pca: [[0.437418, 0.000720, -0.556957, -0.498396, -0.219860, 0.449139, 0.000000, 0.000000, 0.000000, 0.000000], [0.816552, 0.292041, 0.199750, 0.110290, -0.032264, -0.441418, 0.000000, 0.000000, 0.000000, 0.000000], [-0.099800, 0.386487, -0.428427, -0.140496, 0.769115, -0.214107, 0.000000, 0.000000, 0.000000, 0.000000], [-0.101266, 0.603010, -0.306886, 0.613748, -0.305826, 0.248453, 0.000000, 0.000000, 0.000000, 0.000000], [-0.098886, 0.585426, 0.579316, -0.427943, 0.036876, 0.356926, 0.000000, 0.000000, 0.000000, 0.000000], [0.334536, -0.242889, 0.191216, 0.399845, 0.513998, 0.607007, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[106.718305, 107.129400, 119.396595, 128.992258, 463.216215], [199.617318, 200.188955, 222.673329, 240.748435, 916.283279], [24.198377, 24.272519, 27.590449, 29.485668, 63.405205], [24.448178, 24.495157, 28.227384, 29.876057, 72.420925], [23.883147, 23.936737, 27.317799, 29.352329, 97.017695], [81.621283, 81.814509, 91.488814, 98.720598, 340.853277]]
### 12
mean: [-7.460547]
std: [9.864956]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[151.680140, 151.734678, 168.527206, 184.472965, 671.449267]]
## 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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"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": [[0.756499, 0.074211, 0.245489, 0.07725, -0.182169], [0.472993, 0.45378, 0.184458, 0.27085, -0.038405], [-0.151654, -0.237859, -0.353696, -0.358712, 0.276761], [0.098734, 0.490364, 0.203234, -0.261383, -0.502711], [-0.727237, -0.132308, -0.690132, 0.153695, -0.41539], [0.303336, -0.589136, 0.199078, -0.06884, 0.0718]], "network.0.bias": [0.203098, -0.038589, -0.285181, -0.327329, 0.158253, -0.148293], "network.2.weight": [[0.13868, -0.003937, 0.261547, -0.081894, -0.663383, -0.798315], [0.546465, 0.629115, -0.049478, 0.194375, 0.663569, -0.090385], [0.515303, -0.560015, -0.281747, -0.589047, 0.458298, 0.754471], [-0.09612, 0.085895, -0.061595, -0.404024, -0.473021, -0.82843], [-0.116635, 0.604427, -0.073079, 0.576865, 0.611064, 0.771515], [0.288398, 0.174273, 0.016656, 0.376765, 0.408193, 0.542193]], "network.2.bias": [0.262264, -0.091165, -0.390805, 0.570879, 0.242472, 0.063579], "network.4.weight": [[0.8362, 0.072365, -0.710882, 0.815555, -0.138064, 0.012825], [-0.695799, 0.711312, 0.256681, -0.148653, 0.645791, 0.249455], [-0.385985, 0.69621, 0.38209, -0.11638, 0.387164, 0.620608], [0.726747, -0.05458, -0.306192, 0.290269, 0.180828, -0.039912], [-0.820985, 0.734804, 0.488063, -0.222887, 0.37551, 0.506226], [0.112556, 0.012636, -0.235679, 0.796749, -0.243938, 0.500077]], "network.4.bias": [0.248881, 0.110949, -0.283298, -0.05678, -0.161363, 0.583595], "network.6.weight": [[-0.638826, 0.272096, -0.416341, -0.242343, 0.138522, -0.394698], [-0.529769, 0.463351, 0.580106, 0.159506, 0.682066, -0.179937], [-0.513161, 0.402024, 0.152402, 0.066523, 0.469854, -0.686883], [-0.292289, 0.585514, 0.739016, -0.271335, 0.69963, -0.602485], [-0.439747, -0.230277, 0.022349, 0.176239, -0.192163, 0.172098], [-0.593117, 0.489739, 0.314078, 0.30341, 0.594711, -0.081337]], "network.6.bias": [-0.376396, -0.248449, 0.160035, -0.23309, -0.680306, 0.041345], "network.8.weight": [[0.623343, 0.237878, 0.267592, 0.665055, 0.666718, 0.065983], [-0.274113, -0.473305, -0.258724, -0.339164, -0.096506, -0.015068], [-0.114538, 0.02185, 0.201198, 0.505401, 0.481945, 0.281155], [-0.61762, -0.101123, -0.204852, -0.086123, 0.031632, 0.063116], [0.072092, 0.620539, 0.37967, 0.694039, 0.02219, 0.43733], [0.36765, 0.075061, 0.322271, 0.317395, -0.064914, 0.189411]], "network.8.bias": [0.096902, -0.263892, -0.5277, -0.169646, -0.219284, -0.40594], "network.10.weight": [[0.131862, 0.671124, 0.203899, -0.096073, 0.54471, 0.171968], [0.577733, 0.188346, 0.411668, -0.717443, 0.801587, 0.323178], [0.117725, 0.103864, -0.376541, 0.165917, -0.039006, -0.099789], [-0.063104, -0.128176, -0.325535, -0.283343, 0.059623, -0.135028], [-0.051276, -0.400511, -0.505997, 0.147903, 0.111426, -0.05819], [0.219831, 0.07149, 0.386212, -0.353476, 0.201456, 0.227645]], "network.10.bias": [-0.496928, -0.419565, 0.519163, 0.39988, 0.08864, -0.491078], "network.12.weight": [[-0.463677, -0.395664, 0.461357, 0.728317, 0.179709, -0.288594]], "network.12.bias": [0.114063]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6889773905277252, "train_acc": 0.55, "val_loss": 0.6855046153068542, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6847855150699615, "train_acc": 0.55, "val_loss": 0.6819409132003784, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6879733502864838, "train_acc": 0.55, "val_loss": 0.6693224310874939, "val_acc": 0.56}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6639818549156189, "train_acc": 0.55, "val_loss": 0.6313742995262146, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6427395641803741, "train_acc": 0.485, "val_loss": 0.5267317295074463, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5366757810115814, "train_acc": 0.715, "val_loss": 0.4335254728794098, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4575493633747101, "train_acc": 0.835, "val_loss": 0.3751171827316284, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3944612145423889, "train_acc": 0.86, "val_loss": 0.2911980152130127, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.35388392210006714, "train_acc": 0.865, "val_loss": 0.26357704401016235, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.36066344380378723, "train_acc": 0.875, "val_loss": 0.30185145139694214, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.32798290252685547, "train_acc": 0.865, "val_loss": 0.2630443871021271, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.2779766768217087, "train_acc": 0.895, "val_loss": 0.5886180996894836, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.34179939329624176, "train_acc": 0.89, "val_loss": 0.2621244192123413, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.33511096239089966, "train_acc": 0.88, "val_loss": 0.39760300517082214, "val_acc": 0.82}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6855046153068542, "final_val_loss": 0.6313742995262146, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.5267317295074463, "final_val_loss": 0.39760300517082214, "initial_val_acc": 0.68, "final_val_acc": 0.82, "best_val_acc": 0.92, "best_epoch": 8}, "improvement": 0.36, "first_improvement_epoch": 3}}
|
9,660
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.44, "improved_accuracy": 0.94, "improvement": 0.49999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3603, "learning_rate": 0.061969567981243125, "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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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1.183141,
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],
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[
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],
[
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-0.224992,
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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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0.201801,
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],
[
0.138003,
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],
[
0.503822,
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[
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0.414164
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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.6.bias": [
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"network.8.weight": [
[
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[
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[
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[
0.04053,
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],
"network.8.bias": [
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"network.10.weight": [
[
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],
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0.554155,
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],
[
0.300362,
9.9e-05,
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],
[
0.006373,
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[
0.043581,
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[
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],
"network.10.bias": [
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],
"network.12.weight": [
[
0.181504,
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0.180578,
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],
"network.12.bias": [
1.044378
]
}
## Activation Signature
### 0
mean: [1.433576, 0.026848, -0.391661, 0.690113, 1.755604, 2.911656]
std: [2.792555, 1.530483, 2.142430, 2.090920, 2.594592, 2.860737]
pca: [[0.527035, -0.178050, 0.221692, -0.274173, 0.057415, 0.750278, 0.000000, 0.000000, 0.000000, 0.000000], [0.072307, -0.216979, 0.903666, 0.119651, -0.131139, -0.315540, 0.000000, 0.000000, 0.000000, 0.000000], [-0.375222, -0.346013, 0.071994, 0.524299, 0.605055, 0.305482, 0.000000, 0.000000, 0.000000, 0.000000], [0.266941, 0.826636, 0.189743, 0.369482, 0.261392, 0.067609, 0.000000, 0.000000, 0.000000, 0.000000], [0.486920, -0.191313, -0.128740, -0.229675, 0.650820, -0.483133, 0.000000, 0.000000, 0.000000, 0.000000], [0.517557, -0.285597, -0.276552, 0.668099, -0.348601, -0.078801, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.499101, 46.880248, 47.705322, 50.230903, 129.021872], [19.385143, 20.142908, 23.654750, 24.371837, 25.260599], [34.021809, 35.249526, 36.608640, 42.557955, 45.226898], [32.147705, 32.835085, 42.383058, 49.202964, 62.110144], [41.109652, 41.644554, 41.797440, 46.359379, 158.004332], [47.639556, 48.966696, 50.081225, 52.125465, 262.049029]]
### 2
mean: [2.897314, 3.672215, -3.072959, 3.721815, 3.335290, -3.513405]
std: [4.138644, 4.492960, 2.478964, 4.517830, 4.096144, 3.911455]
pca: [[0.418509, 0.714465, 0.383623, -0.228652, 0.000382, -0.339031, 0.000000, 0.000000, 0.000000, 0.000000], [0.461142, -0.215670, 0.079337, 0.790721, -0.034503, -0.328800, 0.000000, 0.000000, 0.000000, 0.000000], [-0.247360, -0.283341, 0.917535, 0.023083, -0.041121, 0.120150, 0.000000, 0.000000, 0.000000, 0.000000], [0.460974, -0.547376, 0.017257, -0.496426, 0.434049, -0.229667, 0.000000, 0.000000, 0.000000, 0.000000], [0.421127, 0.150596, 0.064729, 0.142376, 0.334064, 0.814809, 0.000000, 0.000000, 0.000000, 0.000000], [-0.401455, 0.201110, 0.013422, 0.235023, 0.834938, -0.214131, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[72.173285, 73.519364, 80.922543, 82.305156, 260.758267], [76.791882, 76.949217, 80.531114, 81.605614, 330.499286], [42.144086, 42.574051, 46.281300, 46.867951, 276.566311], [74.522379, 76.838247, 77.091264, 80.145560, 334.963356], [70.106099, 73.255105, 75.175443, 75.492601, 300.176124], [66.619928, 66.705112, 67.297817, 68.882698, 316.206405]]
### 4
mean: [5.267097, -0.984562, 6.012774, 5.025479, -4.026385, -2.480803]
std: [6.982264, 2.153567, 7.520470, 6.730587, 4.638527, 3.006962]
pca: [[0.512272, 0.453725, -0.257460, 0.344886, -0.195455, -0.555226, 0.000000, 0.000000, 0.000000, 0.000000], [-0.157926, 0.199245, -0.234331, 0.739376, 0.021969, 0.577313, 0.000000, 0.000000, 0.000000, 0.000000], [0.551786, 0.240438, 0.525316, -0.148675, -0.324729, 0.483954, 0.000000, 0.000000, 0.000000, 0.000000], [0.493860, 0.004883, -0.289443, -0.176424, 0.772024, 0.212498, 0.000000, 0.000000, 0.000000, 0.000000], [-0.340154, 0.643818, 0.493221, 0.022035, 0.447597, -0.160304, 0.000000, 0.000000, 0.000000, 0.000000], [-0.220380, 0.531129, -0.525168, -0.529775, -0.243930, 0.231019, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[121.222582, 123.901299, 127.968823, 128.705788, 474.038679], [37.674249, 37.750370, 37.869543, 39.760693, 88.610586], [130.373167, 133.238967, 135.705314, 137.892142, 541.149674], [117.335885, 118.983165, 121.978849, 124.833207, 452.293136], [81.252505, 81.351492, 82.440027, 87.492647, 362.374651], [51.797656, 51.997462, 52.622303, 55.729071, 223.272264]]
### 6
mean: [5.045972, 4.248209, -5.153635, -2.754780, 6.242710, -6.751887]
std: [7.336462, 6.048679, 6.628034, 2.811875, 9.262528, 8.484776]
pca: [[0.423557, 0.311835, 0.440683, -0.624234, -0.327638, -0.179280, 0.000000, 0.000000, 0.000000, 0.000000], [0.349163, 0.597544, -0.489652, 0.129348, 0.330644, -0.393968, 0.000000, 0.000000, 0.000000, 0.000000], [-0.382650, 0.364464, 0.423627, -0.192998, 0.682256, 0.196377, 0.000000, 0.000000, 0.000000, 0.000000], [-0.162308, 0.265977, 0.519308, 0.639713, -0.260954, -0.394844, 0.000000, 0.000000, 0.000000, 0.000000], [0.534770, 0.205866, 0.149957, 0.368484, -0.005145, 0.716481, 0.000000, 0.000000, 0.000000, 0.000000], [-0.489837, 0.547486, -0.307266, -0.106486, -0.499731, 0.323784, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[127.269957, 129.583219, 133.215937, 135.732766, 454.137458], [104.865716, 106.661467, 110.408167, 112.693389, 382.338789], [116.098644, 116.290712, 119.678805, 123.563186, 463.827166], [49.041470, 49.592237, 50.295380, 52.670628, 247.930163], [161.194377, 163.190566, 168.324361, 171.887181, 561.843853], [148.593326, 148.954814, 153.152192, 157.400537, 607.669878]]
### 8
mean: [7.203212, 3.008106, -1.010783, -2.924040, 9.669529, -0.988613]
std: [10.710826, 4.512316, 2.242552, 3.786797, 13.755287, 0.637472]
pca: [[0.577435, -0.181521, -0.193334, 0.310790, 0.251622, 0.660558, 0.000000, 0.000000, 0.000000, 0.000000], [0.243260, 0.725628, -0.384465, 0.342095, 0.165025, -0.349589, 0.000000, 0.000000, 0.000000, 0.000000], [-0.120891, -0.627912, -0.522411, 0.274171, 0.229624, -0.436237, 0.000000, 0.000000, 0.000000, 0.000000], [-0.204151, 0.021840, 0.565125, 0.304344, 0.735167, -0.073370, 0.000000, 0.000000, 0.000000, 0.000000], [0.741566, -0.196912, 0.361139, -0.190377, -0.036249, -0.493282, 0.000000, 0.000000, 0.000000, 0.000000], [-0.034366, -0.083603, 0.303492, 0.763114, -0.561196, -0.049375, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[184.697905, 190.109366, 190.290962, 201.424869, 648.289041], [77.717511, 79.949028, 80.213541, 84.688808, 270.729465], [38.603919, 39.582600, 39.887765, 41.977514, 90.970511], [65.284599, 67.234368, 67.328812, 71.249206, 263.163605], [237.197205, 244.144756, 244.311092, 258.628584, 870.257638], [10.978121, 11.324973, 11.334229, 11.986023, 88.975196]]
### 10
mean: [-6.609333, 7.834078, 6.760524, -2.189228, -1.320425, 12.308731]
std: [9.002942, 11.611135, 9.972506, 2.995906, 0.976260, 17.929626]
pca: [[-0.353985, 0.850061, -0.171202, -0.343266, 0.060994, 0.035053, 0.000000, 0.000000, 0.000000, 0.000000], [0.456580, 0.422706, -0.158747, 0.575006, -0.178102, -0.474660, 0.000000, 0.000000, 0.000000, 0.000000], [0.392151, 0.067544, -0.399774, 0.128480, 0.660237, 0.478974, 0.000000, 0.000000, 0.000000, 0.000000], [-0.117804, 0.162819, 0.124307, 0.450780, -0.478320, 0.715659, 0.000000, 0.000000, 0.000000, 0.000000], [-0.038362, 0.209523, 0.823009, 0.229475, 0.473278, -0.025157, 0.000000, 0.000000, 0.000000, 0.000000], [0.705051, 0.154090, 0.304752, -0.528364, -0.275436, 0.176782, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[154.284895, 158.561938, 160.244397, 168.971579, 594.839944], [199.725409, 205.810773, 205.921086, 218.141767, 705.067023], [171.448411, 176.625800, 177.004368, 187.335677, 608.447269], [51.424904, 52.879959, 53.288670, 56.236076, 197.030508], [16.780117, 17.146890, 17.586636, 18.315324, 118.838283], [308.144376, 317.520011, 318.059841, 336.807106, 1107.785665]]
### 12
mean: [-10.628988]
std: [16.621975]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[284.649674, 292.665538, 294.798059, 312.326163, 956.608939]]
## 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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.183141,
0.462579,
0.023142,
-0.013676,
-0.109063
],
[
0.52923,
-0.136833,
-0.539293,
0.472164,
0.131107
],
[
-0.943619,
0.040938,
-0.241491,
0.236209,
0.292102
],
[
0.801616,
-0.571624,
0.34241,
-0.097562,
0.290599
],
[
0.873599,
0.668175,
0.18073,
-0.224992,
-0.007947
],
[
0.819333,
0.523886,
0.629365,
0.190541,
-0.132956
]
],
"network.0.bias": [
-0.766202,
-0.430114,
0.345674,
-0.130273,
-0.434348,
-0.621893
],
"network.2.weight": [
[
0.658982,
-0.002566,
-0.328786,
0.893918,
0.340154,
0.12495
],
[
0.75744,
0.662896,
-0.127469,
0.299756,
0.201801,
0.540546
],
[
0.138003,
0.037942,
-0.584813,
-0.569835,
-0.560257,
-0.342412
],
[
0.503822,
0.532443,
-0.184134,
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0.627058,
0.576603
],
[
0.565876,
0.312008,
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0.51119,
0.314083,
0.414164
],
[
-0.602788,
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-0.114409,
-0.193521,
-0.545748,
-0.2825
]
],
"network.2.bias": [
-0.044162,
-0.274216,
-0.240514,
-0.219275,
-0.120197,
-0.13329
],
"network.4.weight": [
[
0.434763,
0.597063,
0.175395,
0.129257,
0.489998,
0.112772
],
[
-0.351667,
-0.149366,
-0.163086,
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0.318574,
-0.322436
],
[
0.533621,
0.634256,
0.105149,
0.365114,
0.226856,
0.348116
],
[
0.607139,
0.395314,
0.065681,
0.372922,
0.212138,
0.427293
],
[
-0.508985,
0.177359,
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-0.520033
],
[
-0.102606,
0.240887,
0.142778,
-0.384504,
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-0.226059
]
],
"network.4.bias": [
-0.363834,
0.695296,
-0.051118,
-0.348439,
-0.355892,
-0.018003
],
"network.6.weight": [
[
0.253535,
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0.48699,
0.270758,
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0.030221
],
[
0.346234,
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0.03342,
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0.140915,
0.325982
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[
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[
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0.188506
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[
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0.368751,
0.43532,
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[
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-0.377836,
0.125873,
-0.021401
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],
"network.6.bias": [
-0.464611,
-0.021226,
-0.096569,
-0.605696,
-0.688181,
-0.112136
],
"network.8.weight": [
[
0.43062,
0.496557,
0.084078,
-0.172665,
0.515991,
0.317102
],
[
0.281645,
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0.024669,
0.029461,
0.336759,
0.294693
],
[
-0.416245,
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-0.188151
],
[
0.045208,
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0.020695,
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-0.307187,
-0.316486
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[
0.723123,
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0.578086,
-0.106193
],
[
0.04053,
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0.331264,
0.199868,
-0.089465,
-0.229346
]
],
"network.8.bias": [
-0.605033,
-0.249182,
0.602681,
-0.169878,
-0.359239,
-0.529344
],
"network.10.weight": [
[
-0.204386,
-0.891796,
-0.159207,
-0.466082,
-0.212745,
0.371954
],
[
0.35593,
0.039363,
-0.569692,
-0.374085,
0.554155,
0.441963
],
[
0.300362,
9.9e-05,
-0.253938,
0.169128,
0.494253,
-0.139089
],
[
0.006373,
-0.258198,
-0.018675,
-0.058659,
-0.140362,
-0.009271
],
[
0.043581,
0.242894,
-0.263498,
0.166909,
-0.187695,
0.114059
],
[
0.647916,
0.335469,
-0.66135,
-0.013752,
0.693357,
-0.005782
]
],
"network.10.bias": [
-0.205135,
-0.205762,
-0.241768,
-0.057035,
-0.488665,
-0.153548
],
"network.12.weight": [
[
0.181504,
-0.397389,
-0.308583,
-0.144539,
0.180578,
-0.507225
]
],
"network.12.bias": [
1.044378
]
}
## Activation Signature
### 0
mean: [1.433576, 0.026848, -0.391661, 0.690113, 1.755604, 2.911656]
std: [2.792555, 1.530483, 2.142430, 2.090920, 2.594592, 2.860737]
pca: [[0.527035, -0.178050, 0.221692, -0.274173, 0.057415, 0.750278, 0.000000, 0.000000, 0.000000, 0.000000], [0.072307, -0.216979, 0.903666, 0.119651, -0.131139, -0.315540, 0.000000, 0.000000, 0.000000, 0.000000], [-0.375222, -0.346013, 0.071994, 0.524299, 0.605055, 0.305482, 0.000000, 0.000000, 0.000000, 0.000000], [0.266941, 0.826636, 0.189743, 0.369482, 0.261392, 0.067609, 0.000000, 0.000000, 0.000000, 0.000000], [0.486920, -0.191313, -0.128740, -0.229675, 0.650820, -0.483133, 0.000000, 0.000000, 0.000000, 0.000000], [0.517557, -0.285597, -0.276552, 0.668099, -0.348601, -0.078801, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.499101, 46.880248, 47.705322, 50.230903, 129.021872], [19.385143, 20.142908, 23.654750, 24.371837, 25.260599], [34.021809, 35.249526, 36.608640, 42.557955, 45.226898], [32.147705, 32.835085, 42.383058, 49.202964, 62.110144], [41.109652, 41.644554, 41.797440, 46.359379, 158.004332], [47.639556, 48.966696, 50.081225, 52.125465, 262.049029]]
### 2
mean: [2.897314, 3.672215, -3.072959, 3.721815, 3.335290, -3.513405]
std: [4.138644, 4.492960, 2.478964, 4.517830, 4.096144, 3.911455]
pca: [[0.418509, 0.714465, 0.383623, -0.228652, 0.000382, -0.339031, 0.000000, 0.000000, 0.000000, 0.000000], [0.461142, -0.215670, 0.079337, 0.790721, -0.034503, -0.328800, 0.000000, 0.000000, 0.000000, 0.000000], [-0.247360, -0.283341, 0.917535, 0.023083, -0.041121, 0.120150, 0.000000, 0.000000, 0.000000, 0.000000], [0.460974, -0.547376, 0.017257, -0.496426, 0.434049, -0.229667, 0.000000, 0.000000, 0.000000, 0.000000], [0.421127, 0.150596, 0.064729, 0.142376, 0.334064, 0.814809, 0.000000, 0.000000, 0.000000, 0.000000], [-0.401455, 0.201110, 0.013422, 0.235023, 0.834938, -0.214131, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[72.173285, 73.519364, 80.922543, 82.305156, 260.758267], [76.791882, 76.949217, 80.531114, 81.605614, 330.499286], [42.144086, 42.574051, 46.281300, 46.867951, 276.566311], [74.522379, 76.838247, 77.091264, 80.145560, 334.963356], [70.106099, 73.255105, 75.175443, 75.492601, 300.176124], [66.619928, 66.705112, 67.297817, 68.882698, 316.206405]]
### 4
mean: [5.267097, -0.984562, 6.012774, 5.025479, -4.026385, -2.480803]
std: [6.982264, 2.153567, 7.520470, 6.730587, 4.638527, 3.006962]
pca: [[0.512272, 0.453725, -0.257460, 0.344886, -0.195455, -0.555226, 0.000000, 0.000000, 0.000000, 0.000000], [-0.157926, 0.199245, -0.234331, 0.739376, 0.021969, 0.577313, 0.000000, 0.000000, 0.000000, 0.000000], [0.551786, 0.240438, 0.525316, -0.148675, -0.324729, 0.483954, 0.000000, 0.000000, 0.000000, 0.000000], [0.493860, 0.004883, -0.289443, -0.176424, 0.772024, 0.212498, 0.000000, 0.000000, 0.000000, 0.000000], [-0.340154, 0.643818, 0.493221, 0.022035, 0.447597, -0.160304, 0.000000, 0.000000, 0.000000, 0.000000], [-0.220380, 0.531129, -0.525168, -0.529775, -0.243930, 0.231019, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[121.222582, 123.901299, 127.968823, 128.705788, 474.038679], [37.674249, 37.750370, 37.869543, 39.760693, 88.610586], [130.373167, 133.238967, 135.705314, 137.892142, 541.149674], [117.335885, 118.983165, 121.978849, 124.833207, 452.293136], [81.252505, 81.351492, 82.440027, 87.492647, 362.374651], [51.797656, 51.997462, 52.622303, 55.729071, 223.272264]]
### 6
mean: [5.045972, 4.248209, -5.153635, -2.754780, 6.242710, -6.751887]
std: [7.336462, 6.048679, 6.628034, 2.811875, 9.262528, 8.484776]
pca: [[0.423557, 0.311835, 0.440683, -0.624234, -0.327638, -0.179280, 0.000000, 0.000000, 0.000000, 0.000000], [0.349163, 0.597544, -0.489652, 0.129348, 0.330644, -0.393968, 0.000000, 0.000000, 0.000000, 0.000000], [-0.382650, 0.364464, 0.423627, -0.192998, 0.682256, 0.196377, 0.000000, 0.000000, 0.000000, 0.000000], [-0.162308, 0.265977, 0.519308, 0.639713, -0.260954, -0.394844, 0.000000, 0.000000, 0.000000, 0.000000], [0.534770, 0.205866, 0.149957, 0.368484, -0.005145, 0.716481, 0.000000, 0.000000, 0.000000, 0.000000], [-0.489837, 0.547486, -0.307266, -0.106486, -0.499731, 0.323784, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[127.269957, 129.583219, 133.215937, 135.732766, 454.137458], [104.865716, 106.661467, 110.408167, 112.693389, 382.338789], [116.098644, 116.290712, 119.678805, 123.563186, 463.827166], [49.041470, 49.592237, 50.295380, 52.670628, 247.930163], [161.194377, 163.190566, 168.324361, 171.887181, 561.843853], [148.593326, 148.954814, 153.152192, 157.400537, 607.669878]]
### 8
mean: [7.203212, 3.008106, -1.010783, -2.924040, 9.669529, -0.988613]
std: [10.710826, 4.512316, 2.242552, 3.786797, 13.755287, 0.637472]
pca: [[0.577435, -0.181521, -0.193334, 0.310790, 0.251622, 0.660558, 0.000000, 0.000000, 0.000000, 0.000000], [0.243260, 0.725628, -0.384465, 0.342095, 0.165025, -0.349589, 0.000000, 0.000000, 0.000000, 0.000000], [-0.120891, -0.627912, -0.522411, 0.274171, 0.229624, -0.436237, 0.000000, 0.000000, 0.000000, 0.000000], [-0.204151, 0.021840, 0.565125, 0.304344, 0.735167, -0.073370, 0.000000, 0.000000, 0.000000, 0.000000], [0.741566, -0.196912, 0.361139, -0.190377, -0.036249, -0.493282, 0.000000, 0.000000, 0.000000, 0.000000], [-0.034366, -0.083603, 0.303492, 0.763114, -0.561196, -0.049375, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[184.697905, 190.109366, 190.290962, 201.424869, 648.289041], [77.717511, 79.949028, 80.213541, 84.688808, 270.729465], [38.603919, 39.582600, 39.887765, 41.977514, 90.970511], [65.284599, 67.234368, 67.328812, 71.249206, 263.163605], [237.197205, 244.144756, 244.311092, 258.628584, 870.257638], [10.978121, 11.324973, 11.334229, 11.986023, 88.975196]]
### 10
mean: [-6.609333, 7.834078, 6.760524, -2.189228, -1.320425, 12.308731]
std: [9.002942, 11.611135, 9.972506, 2.995906, 0.976260, 17.929626]
pca: [[-0.353985, 0.850061, -0.171202, -0.343266, 0.060994, 0.035053, 0.000000, 0.000000, 0.000000, 0.000000], [0.456580, 0.422706, -0.158747, 0.575006, -0.178102, -0.474660, 0.000000, 0.000000, 0.000000, 0.000000], [0.392151, 0.067544, -0.399774, 0.128480, 0.660237, 0.478974, 0.000000, 0.000000, 0.000000, 0.000000], [-0.117804, 0.162819, 0.124307, 0.450780, -0.478320, 0.715659, 0.000000, 0.000000, 0.000000, 0.000000], [-0.038362, 0.209523, 0.823009, 0.229475, 0.473278, -0.025157, 0.000000, 0.000000, 0.000000, 0.000000], [0.705051, 0.154090, 0.304752, -0.528364, -0.275436, 0.176782, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[154.284895, 158.561938, 160.244397, 168.971579, 594.839944], [199.725409, 205.810773, 205.921086, 218.141767, 705.067023], [171.448411, 176.625800, 177.004368, 187.335677, 608.447269], [51.424904, 52.879959, 53.288670, 56.236076, 197.030508], [16.780117, 17.146890, 17.586636, 18.315324, 118.838283], [308.144376, 317.520011, 318.059841, 336.807106, 1107.785665]]
### 12
mean: [-10.628988]
std: [16.621975]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[284.649674, 292.665538, 294.798059, 312.326163, 956.608939]]
## 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": 0.6918469667434692, "train_acc": 0.58, "val_loss": 0.7072852253913879, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6210698783397675, "train_acc": 0.58, "val_loss": 0.6759302020072937, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.5495176613330841, "train_acc": 0.58, "val_loss": 0.554125964641571, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5112584829330444, "train_acc": 0.555, "val_loss": 0.49464237689971924, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.47641779482364655, "train_acc": 0.87, "val_loss": 0.4226267635822296, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.41606420278549194, "train_acc": 0.855, "val_loss": 0.38776925206184387, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.34198008477687836, "train_acc": 0.91, "val_loss": 0.413705974817276, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3385796397924423, "train_acc": 0.91, "val_loss": 0.32539016008377075, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2824431359767914, "train_acc": 0.93, "val_loss": 0.3226355016231537, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2486853078007698, "train_acc": 0.925, "val_loss": 0.2887415289878845, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.22570930421352386, "train_acc": 0.95, "val_loss": 0.2689119279384613, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2079096958041191, "train_acc": 0.955, "val_loss": 0.30366382002830505, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.19526179134845734, "train_acc": 0.965, "val_loss": 0.2320454716682434, "val_acc": 0.94}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7072852253913879, "final_val_loss": 0.554125964641571, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.49464237689971924, "final_val_loss": 0.2320454716682434, "initial_val_acc": 0.88, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 10}, "improvement": 0.49999999999999994, "first_improvement_epoch": 2}}
|
9,661
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.66, "improved_accuracy": 0.84, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9736, "learning_rate": 0.07353137633196108, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [0.005128, -1.143265, -0.861825, -0.928977, 0.766340, -0.551774]
std: [3.388335, 3.312117, 0.523199, 2.038707, 1.835155, 1.943197]
pca: [[0.661585, -0.020283, -0.270964, -0.402865, -0.407949, 0.399687, 0.000000, 0.000000, 0.000000, 0.000000], [0.638651, -0.199359, -0.149664, 0.597285, 0.194878, -0.367770, 0.000000, 0.000000, 0.000000, 0.000000], [0.020439, 0.021673, -0.315736, -0.022386, 0.784925, 0.531803, 0.000000, 0.000000, 0.000000, 0.000000], [-0.124938, 0.749411, -0.501470, 0.346293, -0.225424, 0.023830, 0.000000, 0.000000, 0.000000, 0.000000], [-0.265598, -0.483085, -0.100550, 0.535155, -0.357935, 0.521026, 0.000000, 0.000000, 0.000000, 0.000000], [0.260502, 0.405447, 0.736823, 0.272286, 0.023645, 0.387485, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.648079, 55.355760, 56.778975, 58.974665, 69.472706], [51.277751, 57.939849, 58.778594, 78.101624, 102.893847], [8.111915, 9.949113, 10.647038, 10.838675, 77.564292], [29.533919, 32.180487, 35.134904, 36.225735, 83.607888], [29.046101, 30.244030, 30.461081, 42.587736, 68.970571], [29.348982, 30.427515, 32.730813, 42.968949, 49.659660]]
### 2
mean: [-0.532410, -1.042781, -0.759983, 1.268290, -0.214182, -0.790642]
std: [1.326867, 1.686755, 0.637008, 1.813142, 2.239055, 1.899858]
pca: [[0.087987, 0.497197, 0.800708, 0.052712, 0.299669, -0.106489, 0.000000, 0.000000, 0.000000, 0.000000], [-0.246923, 0.737446, -0.515885, 0.155860, 0.265682, 0.184893, 0.000000, 0.000000, 0.000000, 0.000000], [0.084691, -0.270802, 0.041978, 0.904174, 0.230372, 0.217093, 0.000000, 0.000000, 0.000000, 0.000000], [-0.481620, -0.365827, 0.049519, -0.289082, 0.723235, 0.158505, 0.000000, 0.000000, 0.000000, 0.000000], [0.631198, -0.038694, -0.296954, -0.065013, 0.505218, -0.502432, 0.000000, 0.000000, 0.000000, 0.000000], [0.541983, 0.017554, 0.018258, -0.260006, 0.090699, 0.793589, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.049033, 20.296895, 25.159378, 29.066557, 47.916870], [26.143245, 26.978626, 27.992188, 37.774167, 93.850303], [9.102400, 10.322682, 10.985773, 13.204016, 68.398457], [30.997352, 31.488203, 32.296623, 37.086297, 114.146075], [34.082611, 37.192754, 40.843701, 41.115412, 46.878997], [28.794402, 33.639658, 35.380006, 38.603914, 71.157768]]
### 4
mean: [0.257332, -0.316014, 0.458600, 0.660864, 0.853118, 0.855279]
std: [1.353907, 0.441114, 1.347357, 1.393013, 1.478022, 1.474347]
pca: [[-0.419108, -0.522388, 0.290509, -0.529579, -0.203811, 0.380881, 0.000000, 0.000000, 0.000000, 0.000000], [0.082049, -0.439583, 0.667229, 0.334777, 0.188186, -0.455357, 0.000000, 0.000000, 0.000000, 0.000000], [-0.435013, 0.025525, 0.018034, 0.683592, -0.550553, 0.198447, 0.000000, 0.000000, 0.000000, 0.000000], [-0.449292, 0.174317, 0.100789, 0.210611, 0.760366, 0.367529, 0.000000, 0.000000, 0.000000, 0.000000], [-0.456317, 0.596841, 0.338448, -0.309529, -0.147584, -0.451020, 0.000000, 0.000000, 0.000000, 0.000000], [0.467216, 0.382910, 0.587689, 0.002857, -0.141423, 0.519328, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.947796, 23.159911, 23.241969, 23.865858, 27.567229], [6.856858, 7.247911, 7.380685, 7.446595, 28.441250], [23.498944, 23.706123, 23.747972, 24.955806, 41.273959], [23.600481, 24.418406, 24.982386, 26.017661, 59.477788], [24.079953, 24.436062, 25.818539, 27.163796, 76.780585], [24.792720, 27.807021, 28.158922, 28.358793, 76.975077]]
### 6
mean: [-1.510086, -1.741284, -0.203831, 1.450669, -1.390299, 0.978201]
std: [3.757655, 3.704433, 0.396357, 1.867982, 2.888791, 1.183894]
pca: [[0.586314, 0.244264, -0.390090, 0.261605, -0.218816, 0.572785, 0.000000, 0.000000, 0.000000, 0.000000], [0.577800, 0.346349, 0.297128, -0.588482, -0.117240, -0.312806, 0.000000, 0.000000, 0.000000, 0.000000], [0.057207, 0.236075, 0.740289, 0.602002, -0.174791, 0.003213, 0.000000, 0.000000, 0.000000, 0.000000], [-0.289433, 0.534532, 0.179830, -0.253255, 0.525929, 0.507372, 0.000000, 0.000000, 0.000000, 0.000000], [0.450806, -0.183081, -0.020046, 0.285482, 0.794494, -0.223903, 0.000000, 0.000000, 0.000000, 0.000000], [-0.179202, 0.667385, -0.422819, 0.277863, -0.000525, -0.516236, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[62.144773, 63.348265, 63.689454, 66.055888, 135.907701], [60.115113, 61.394160, 61.802617, 65.407050, 156.715507], [5.910723, 6.265334, 7.191974, 7.268368, 18.344765], [29.743328, 29.767394, 30.457638, 32.339019, 130.560194], [46.760753, 47.480022, 49.065762, 49.442627, 125.126877], [17.955369, 18.124430, 18.386662, 19.940515, 88.038113]]
### 8
mean: [-0.404106]
std: [1.345634]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.416102, 24.634910, 25.825914, 26.879370, 36.369532]]
## 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.206546,
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[
0.8037,
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0.026598,
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0.877871,
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}
## Activation Signature
### 0
mean: [0.005128, -1.143265, -0.861825, -0.928977, 0.766340, -0.551774]
std: [3.388335, 3.312117, 0.523199, 2.038707, 1.835155, 1.943197]
pca: [[0.661585, -0.020283, -0.270964, -0.402865, -0.407949, 0.399687, 0.000000, 0.000000, 0.000000, 0.000000], [0.638651, -0.199359, -0.149664, 0.597285, 0.194878, -0.367770, 0.000000, 0.000000, 0.000000, 0.000000], [0.020439, 0.021673, -0.315736, -0.022386, 0.784925, 0.531803, 0.000000, 0.000000, 0.000000, 0.000000], [-0.124938, 0.749411, -0.501470, 0.346293, -0.225424, 0.023830, 0.000000, 0.000000, 0.000000, 0.000000], [-0.265598, -0.483085, -0.100550, 0.535155, -0.357935, 0.521026, 0.000000, 0.000000, 0.000000, 0.000000], [0.260502, 0.405447, 0.736823, 0.272286, 0.023645, 0.387485, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.648079, 55.355760, 56.778975, 58.974665, 69.472706], [51.277751, 57.939849, 58.778594, 78.101624, 102.893847], [8.111915, 9.949113, 10.647038, 10.838675, 77.564292], [29.533919, 32.180487, 35.134904, 36.225735, 83.607888], [29.046101, 30.244030, 30.461081, 42.587736, 68.970571], [29.348982, 30.427515, 32.730813, 42.968949, 49.659660]]
### 2
mean: [-0.532410, -1.042781, -0.759983, 1.268290, -0.214182, -0.790642]
std: [1.326867, 1.686755, 0.637008, 1.813142, 2.239055, 1.899858]
pca: [[0.087987, 0.497197, 0.800708, 0.052712, 0.299669, -0.106489, 0.000000, 0.000000, 0.000000, 0.000000], [-0.246923, 0.737446, -0.515885, 0.155860, 0.265682, 0.184893, 0.000000, 0.000000, 0.000000, 0.000000], [0.084691, -0.270802, 0.041978, 0.904174, 0.230372, 0.217093, 0.000000, 0.000000, 0.000000, 0.000000], [-0.481620, -0.365827, 0.049519, -0.289082, 0.723235, 0.158505, 0.000000, 0.000000, 0.000000, 0.000000], [0.631198, -0.038694, -0.296954, -0.065013, 0.505218, -0.502432, 0.000000, 0.000000, 0.000000, 0.000000], [0.541983, 0.017554, 0.018258, -0.260006, 0.090699, 0.793589, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.049033, 20.296895, 25.159378, 29.066557, 47.916870], [26.143245, 26.978626, 27.992188, 37.774167, 93.850303], [9.102400, 10.322682, 10.985773, 13.204016, 68.398457], [30.997352, 31.488203, 32.296623, 37.086297, 114.146075], [34.082611, 37.192754, 40.843701, 41.115412, 46.878997], [28.794402, 33.639658, 35.380006, 38.603914, 71.157768]]
### 4
mean: [0.257332, -0.316014, 0.458600, 0.660864, 0.853118, 0.855279]
std: [1.353907, 0.441114, 1.347357, 1.393013, 1.478022, 1.474347]
pca: [[-0.419108, -0.522388, 0.290509, -0.529579, -0.203811, 0.380881, 0.000000, 0.000000, 0.000000, 0.000000], [0.082049, -0.439583, 0.667229, 0.334777, 0.188186, -0.455357, 0.000000, 0.000000, 0.000000, 0.000000], [-0.435013, 0.025525, 0.018034, 0.683592, -0.550553, 0.198447, 0.000000, 0.000000, 0.000000, 0.000000], [-0.449292, 0.174317, 0.100789, 0.210611, 0.760366, 0.367529, 0.000000, 0.000000, 0.000000, 0.000000], [-0.456317, 0.596841, 0.338448, -0.309529, -0.147584, -0.451020, 0.000000, 0.000000, 0.000000, 0.000000], [0.467216, 0.382910, 0.587689, 0.002857, -0.141423, 0.519328, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.947796, 23.159911, 23.241969, 23.865858, 27.567229], [6.856858, 7.247911, 7.380685, 7.446595, 28.441250], [23.498944, 23.706123, 23.747972, 24.955806, 41.273959], [23.600481, 24.418406, 24.982386, 26.017661, 59.477788], [24.079953, 24.436062, 25.818539, 27.163796, 76.780585], [24.792720, 27.807021, 28.158922, 28.358793, 76.975077]]
### 6
mean: [-1.510086, -1.741284, -0.203831, 1.450669, -1.390299, 0.978201]
std: [3.757655, 3.704433, 0.396357, 1.867982, 2.888791, 1.183894]
pca: [[0.586314, 0.244264, -0.390090, 0.261605, -0.218816, 0.572785, 0.000000, 0.000000, 0.000000, 0.000000], [0.577800, 0.346349, 0.297128, -0.588482, -0.117240, -0.312806, 0.000000, 0.000000, 0.000000, 0.000000], [0.057207, 0.236075, 0.740289, 0.602002, -0.174791, 0.003213, 0.000000, 0.000000, 0.000000, 0.000000], [-0.289433, 0.534532, 0.179830, -0.253255, 0.525929, 0.507372, 0.000000, 0.000000, 0.000000, 0.000000], [0.450806, -0.183081, -0.020046, 0.285482, 0.794494, -0.223903, 0.000000, 0.000000, 0.000000, 0.000000], [-0.179202, 0.667385, -0.422819, 0.277863, -0.000525, -0.516236, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[62.144773, 63.348265, 63.689454, 66.055888, 135.907701], [60.115113, 61.394160, 61.802617, 65.407050, 156.715507], [5.910723, 6.265334, 7.191974, 7.268368, 18.344765], [29.743328, 29.767394, 30.457638, 32.339019, 130.560194], [46.760753, 47.480022, 49.065762, 49.442627, 125.126877], [17.955369, 18.124430, 18.386662, 19.940515, 88.038113]]
### 8
mean: [-0.404106]
std: [1.345634]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.416102, 24.634910, 25.825914, 26.879370, 36.369532]]
## 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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"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": [[-0.814443, 0.281347, -0.057654, 0.735034, -1.258876], [-1.203377, 0.454411, -0.080119, 0.355337, -0.94718], [0.063142, 0.120953, -0.267724, -0.004614, -0.029543], [0.767101, 0.112613, -0.177944, -0.486643, -0.475733], [-0.144431, 0.344926, -0.045631, -0.328269, 1.013024], [-0.241688, -0.495643, 0.423163, 0.056738, -0.892815]], "network.0.bias": [0.602787, 0.09978, -0.555228, -0.086776, -0.132581, 0.747692], "network.2.weight": [[-0.466087, -0.359331, -0.860531, -0.358845, -0.29575, 0.934603], [0.051221, -0.111844, 0.026828, 0.412305, -0.979184, 0.074756], [-0.182841, 0.25733, -0.379137, -0.338772, 0.172492, -0.447411], [0.500108, 0.696219, 0.581679, -0.281939, 0.098991, 0.563551], [-0.65208, -0.209028, 0.011951, 0.500993, 0.388071, -0.953576], [-0.534515, -0.371178, 0.016412, 0.31948, 0.365483, -0.491259]], "network.2.bias": [0.206546, -0.244927, -0.608198, 0.049747, 0.565038, -0.157677], "network.4.weight": [[0.8037, -0.473674, -0.678778, 0.122252, -0.484755, -0.700967], [0.026598, -0.190121, -0.045542, -0.270242, 0.046737, -0.223929], [0.877871, -1.089093, -0.037214, 0.387103, -0.208314, -0.413767], [0.913301, -0.591442, 0.411543, 0.446288, -0.34431, -0.230311], [1.052357, -0.302518, -0.118583, 0.675586, 0.057969, -0.353866], [-0.62889, 0.759385, -0.124444, -0.205478, 0.735084, 0.423048]], "network.4.bias": [0.527526, 0.06667, 0.134607, 0.33262, -0.127725, 0.478671], "network.6.weight": [[-0.753965, -0.172873, -0.682918, -0.818415, -0.813032, 0.571109], [-0.644949, 0.130505, -0.964469, -0.610694, -0.868431, 0.476068], [0.215248, -0.386439, -0.424945, 0.022005, -0.145873, -0.036248], [1.055718, 0.321767, 0.22217, 0.419098, 0.16866, -0.191288], [-0.994733, -0.447588, -0.280494, -0.800838, -0.517946, 0.334043], [1.091515, 0.206523, 0.162778, 0.037061, 0.128928, 0.006457]], "network.6.bias": [0.321163, 0.209949, 0.093658, 0.339054, 0.228614, 0.045678], "network.8.weight": [[-0.362816, -0.474044, -0.191528, 0.211866, -0.309499, 0.03295]], "network.8.bias": [-0.010432]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6954090595245361, "train_acc": 0.55, "val_loss": 0.6660696268081665, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6782440543174744, "train_acc": 0.575, "val_loss": 0.6481730937957764, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6396054029464722, "train_acc": 0.54, "val_loss": 0.5551517605781555, "val_acc": 0.66}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.7482377886772156, "train_acc": 0.565, "val_loss": 0.5214639902114868, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5340836197137833, "train_acc": 0.815, "val_loss": 0.5415506958961487, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5356112718582153, "train_acc": 0.765, "val_loss": 0.5034843683242798, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5008299201726913, "train_acc": 0.8, "val_loss": 0.46422111988067627, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.46408046782016754, "train_acc": 0.795, "val_loss": 0.38613760471343994, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.39159420132637024, "train_acc": 0.815, "val_loss": 0.37017154693603516, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3861752301454544, "train_acc": 0.815, "val_loss": 0.36567336320877075, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.37658587098121643, "train_acc": 0.81, "val_loss": 0.38279440999031067, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.38763289153575897, "train_acc": 0.81, "val_loss": 0.34816214442253113, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.32695329189300537, "train_acc": 0.82, "val_loss": 0.331297367811203, "val_acc": 0.84}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6660696268081665, "final_val_loss": 0.5551517605781555, "initial_val_acc": 0.62, "final_val_acc": 0.66, "best_val_acc": 0.66}, "improved_stage": {"initial_val_loss": 0.5214639902114868, "final_val_loss": 0.331297367811203, "initial_val_acc": 0.8, "final_val_acc": 0.84, "best_val_acc": 0.84, "best_epoch": 7}, "improvement": 0.17999999999999994, "first_improvement_epoch": 2}}
|
9,662
|
{"target_pattern": "alternating", "degraded_accuracy": 0.7, "improved_accuracy": 1.0, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4404, "learning_rate": 0.05189176981219829, "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:
{
"network.0.weight": [
[
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0.440507,
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],
[
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[
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[
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],
[
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[
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0.331864,
0.547274
],
[
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-0.681519,
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-0.391417
]
],
"network.0.bias": [
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-0.042201,
-0.229948,
0.06502,
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-0.218347
],
"network.2.weight": [
[
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0.48919
],
[
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0.482624,
0.447023
],
[
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0.375334,
0.642323,
0.589899,
0.791966,
0.060178
],
[
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0.006629,
-0.467388,
-0.44892,
-0.494284,
0.288761
],
[
0.353371,
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-0.383784,
-0.082323,
0.25759,
-0.587911,
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],
[
0.286795,
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-0.241272,
0.340835,
0.254112,
-0.715254,
-0.052788
],
[
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-0.429076,
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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": [
0.152268,
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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": [
0.055093,
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],
"network.10.weight": [
[
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-2.131141, 0.290077, 0.474430, 0.830892, 0.340338, -0.140671, -1.027974]
std: [2.134752, 1.185759, 1.299800, 1.183445, 1.591934, 1.799721, 1.740370]
pca: [[-0.519990, 0.593244, -0.188296, 0.495782, -0.210697, -0.160505, 0.162056, 0.000000, 0.000000, 0.000000], [-0.273156, 0.214997, 0.388661, 0.104295, 0.687878, 0.459409, -0.181647, 0.000000, 0.000000, 0.000000], [0.022066, 0.142095, 0.752719, 0.018619, -0.523362, -0.056220, -0.367860, 0.000000, 0.000000, 0.000000], [-0.292907, -0.180289, 0.454501, -0.199533, 0.162459, -0.409640, 0.664168, 0.000000, 0.000000, 0.000000], [-0.419439, -0.459825, -0.021387, 0.072105, -0.391016, 0.638347, 0.215858, 0.000000, 0.000000, 0.000000], [0.574070, 0.393534, 0.138866, 0.084812, -0.105250, 0.400776, 0.563381, 0.000000, 0.000000, 0.000000], [0.251455, -0.427591, 0.143488, 0.831126, 0.134755, -0.155268, 0.017599, 0.000000, 0.000000, 0.000000]]
fourier: [[30.990561, 31.338607, 35.174920, 44.345355, 191.802656], [17.521747, 17.838102, 19.094713, 22.011920, 26.106903], [18.872188, 21.069513, 22.652535, 26.760832, 42.698683], [19.013773, 19.444351, 19.616870, 20.043852, 74.780292], [24.174136, 24.184278, 25.301544, 27.827033, 30.630447], [27.319779, 28.257988, 28.716535, 30.950305, 34.017075], [29.741407, 34.148066, 36.169540, 38.227588, 92.517652]]
### 2
mean: [-0.429046, 1.433269, 2.001869, -0.788387, -0.908448, -0.574287, -0.470310]
std: [0.875988, 1.041191, 1.690092, 1.134231, 1.027757, 1.150280, 0.955729]
pca: [[-0.315478, 0.074509, 0.362633, 0.664138, 0.405922, -0.208911, -0.337525, 0.000000, 0.000000, 0.000000], [0.303741, -0.353623, 0.697665, -0.359060, -0.033661, -0.389800, -0.118128, 0.000000, 0.000000, 0.000000], [0.668291, -0.118997, 0.164980, 0.327107, 0.155830, 0.616555, -0.024223, 0.000000, 0.000000, 0.000000], [-0.444375, -0.068298, 0.265313, -0.228259, -0.310740, 0.577676, -0.495080, 0.000000, 0.000000, 0.000000], [0.099620, 0.618510, 0.074314, -0.476628, 0.580141, 0.090950, -0.173172, 0.000000, 0.000000, 0.000000], [0.138828, 0.681011, 0.348466, 0.203408, -0.571258, -0.069870, 0.151429, 0.000000, 0.000000, 0.000000], [-0.367336, -0.065146, 0.396485, -0.048429, 0.224395, 0.278226, 0.757306, 0.000000, 0.000000, 0.000000]]
fourier: [[12.888446, 15.671181, 17.395661, 18.376353, 38.614104], [15.028506, 17.440136, 18.746115, 19.385049, 128.994191], [26.588137, 26.716026, 31.550276, 34.150995, 180.168232], [16.205262, 17.935169, 23.636648, 23.641373, 70.954801], [15.999683, 17.255466, 18.047333, 19.696487, 81.760314], [16.563188, 20.295810, 20.759029, 24.534908, 51.685842], [14.539860, 16.331954, 18.623545, 19.751629, 42.327862]]
### 4
mean: [-0.434509, -0.518787, -0.662364, -0.438835, -0.574934, -0.431373, 2.110319]
std: [0.810969, 0.908529, 0.617149, 1.463210, 0.775042, 0.356904, 1.547668]
pca: [[-0.305427, 0.265954, -0.167519, 0.742286, 0.288686, -0.252180, -0.331659, 0.000000, 0.000000, 0.000000], [-0.347846, 0.183237, 0.361443, -0.448973, 0.537558, -0.462916, 0.099749, 0.000000, 0.000000, 0.000000], [-0.235196, 0.111199, 0.528871, 0.323293, 0.137859, 0.575951, 0.444263, 0.000000, 0.000000, 0.000000], [-0.557277, 0.394965, -0.426521, -0.353770, -0.098208, 0.435933, -0.163369, 0.000000, 0.000000, 0.000000], [-0.299334, 0.074087, -0.236128, 0.130931, -0.436431, -0.416481, 0.684166, 0.000000, 0.000000, 0.000000], [-0.040197, -0.501247, -0.521706, 0.016449, 0.586425, 0.159426, 0.324618, 0.000000, 0.000000, 0.000000], [0.573259, 0.685997, -0.227458, -0.018694, 0.254315, 0.038537, 0.287286, 0.000000, 0.000000, 0.000000]]
fourier: [[12.927493, 13.208524, 15.477418, 15.643660, 39.105776], [12.146094, 14.417758, 16.200827, 16.874661, 46.690871], [9.092720, 9.247117, 10.927036, 11.565999, 59.612779], [21.396278, 23.675060, 27.898960, 28.470891, 39.495135], [11.268329, 12.612259, 14.731701, 14.934979, 51.744043], [5.499828, 6.476049, 6.491524, 8.083424, 38.823531], [22.832511, 24.796423, 26.481947, 29.726944, 189.928736]]
### 6
mean: [-0.589779, 0.795856, 0.980460, -0.185272, -0.583008, -0.112390, 1.319966]
std: [1.346821, 1.123151, 0.252932, 0.956002, 1.351220, 1.308341, 1.531903]
pca: [[-0.428794, -0.067397, 0.326273, 0.056736, 0.364296, 0.203678, 0.726446, 0.000000, 0.000000, 0.000000], [0.356109, 0.385019, -0.245859, -0.325430, 0.294175, 0.685781, 0.041961, 0.000000, 0.000000, 0.000000], [0.053086, 0.707802, 0.115514, 0.685912, -0.099411, -0.018247, 0.046519, 0.000000, 0.000000, 0.000000], [-0.304158, 0.044966, 0.653425, -0.124430, -0.238434, 0.438486, -0.462491, 0.000000, 0.000000, 0.000000], [-0.430148, 0.101513, -0.186639, 0.092635, 0.711375, -0.131896, -0.487649, 0.000000, 0.000000, 0.000000], [-0.413924, 0.552530, -0.134252, -0.570109, -0.259344, -0.310574, 0.128894, 0.000000, 0.000000, 0.000000], [0.487474, 0.169169, 0.583039, -0.267045, 0.375104, -0.426338, -0.006146, 0.000000, 0.000000, 0.000000]]
fourier: [[19.050174, 21.286391, 22.920113, 23.486680, 53.080146], [16.505277, 17.659046, 19.647641, 19.708475, 71.627003], [3.815320, 3.993625, 4.399249, 5.003594, 88.241393], [13.159184, 15.556835, 16.407102, 16.472992, 16.674505], [18.878360, 20.808533, 22.466451, 23.792172, 52.470759], [17.004855, 18.432000, 20.118694, 21.235164, 23.196717], [21.804918, 23.290851, 25.900979, 27.468139, 118.796904]]
### 8
mean: [-0.264917, -0.537060, 1.494663, 0.234033, -0.684534, -0.172919, 1.657455]
std: [1.735466, 1.392754, 2.014275, 2.154680, 1.969991, 1.685478, 2.017545]
pca: [[0.351320, 0.314123, -0.290072, -0.175606, 0.362612, 0.644730, -0.340232, 0.000000, 0.000000, 0.000000], [0.282339, -0.191437, 0.174589, -0.105503, -0.414823, 0.544864, 0.610794, 0.000000, 0.000000, 0.000000], [-0.409064, 0.054096, 0.322284, 0.074440, 0.704257, 0.193805, 0.432195, 0.000000, 0.000000, 0.000000], [0.433827, 0.636271, 0.111152, -0.277127, 0.080676, -0.428996, 0.356726, 0.000000, 0.000000, 0.000000], [0.399263, -0.269126, 0.775688, -0.068246, 0.143847, -0.034348, -0.374084, 0.000000, 0.000000, 0.000000], [0.342098, 0.127555, -0.022070, 0.925973, 0.051666, 0.005819, 0.077995, 0.000000, 0.000000, 0.000000], [-0.406052, 0.606805, 0.408627, 0.116654, -0.413021, 0.254232, -0.226063, 0.000000, 0.000000, 0.000000]]
fourier: [[23.842535, 25.910668, 27.128936, 28.082668, 30.872983], [19.380869, 21.828671, 22.926544, 24.596173, 48.335389], [28.916416, 31.503662, 32.947013, 36.046241, 134.519720], [27.578462, 32.902244, 33.402435, 34.577774, 37.955203], [27.247738, 30.951102, 32.421452, 34.363285, 61.608056], [21.601977, 24.718906, 26.458497, 27.669359, 29.845623], [27.720186, 31.503799, 33.737777, 35.821073, 149.170959]]
### 10
mean: [-1.051050]
std: [4.193118]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[64.641795, 65.283467, 66.557329, 73.171258, 94.594494]]
## 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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]
],
"network.0.bias": [
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-0.042201,
-0.229948,
0.06502,
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-0.218347
],
"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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[
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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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],
[
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[
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],
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"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-2.131141, 0.290077, 0.474430, 0.830892, 0.340338, -0.140671, -1.027974]
std: [2.134752, 1.185759, 1.299800, 1.183445, 1.591934, 1.799721, 1.740370]
pca: [[-0.519990, 0.593244, -0.188296, 0.495782, -0.210697, -0.160505, 0.162056, 0.000000, 0.000000, 0.000000], [-0.273156, 0.214997, 0.388661, 0.104295, 0.687878, 0.459409, -0.181647, 0.000000, 0.000000, 0.000000], [0.022066, 0.142095, 0.752719, 0.018619, -0.523362, -0.056220, -0.367860, 0.000000, 0.000000, 0.000000], [-0.292907, -0.180289, 0.454501, -0.199533, 0.162459, -0.409640, 0.664168, 0.000000, 0.000000, 0.000000], [-0.419439, -0.459825, -0.021387, 0.072105, -0.391016, 0.638347, 0.215858, 0.000000, 0.000000, 0.000000], [0.574070, 0.393534, 0.138866, 0.084812, -0.105250, 0.400776, 0.563381, 0.000000, 0.000000, 0.000000], [0.251455, -0.427591, 0.143488, 0.831126, 0.134755, -0.155268, 0.017599, 0.000000, 0.000000, 0.000000]]
fourier: [[30.990561, 31.338607, 35.174920, 44.345355, 191.802656], [17.521747, 17.838102, 19.094713, 22.011920, 26.106903], [18.872188, 21.069513, 22.652535, 26.760832, 42.698683], [19.013773, 19.444351, 19.616870, 20.043852, 74.780292], [24.174136, 24.184278, 25.301544, 27.827033, 30.630447], [27.319779, 28.257988, 28.716535, 30.950305, 34.017075], [29.741407, 34.148066, 36.169540, 38.227588, 92.517652]]
### 2
mean: [-0.429046, 1.433269, 2.001869, -0.788387, -0.908448, -0.574287, -0.470310]
std: [0.875988, 1.041191, 1.690092, 1.134231, 1.027757, 1.150280, 0.955729]
pca: [[-0.315478, 0.074509, 0.362633, 0.664138, 0.405922, -0.208911, -0.337525, 0.000000, 0.000000, 0.000000], [0.303741, -0.353623, 0.697665, -0.359060, -0.033661, -0.389800, -0.118128, 0.000000, 0.000000, 0.000000], [0.668291, -0.118997, 0.164980, 0.327107, 0.155830, 0.616555, -0.024223, 0.000000, 0.000000, 0.000000], [-0.444375, -0.068298, 0.265313, -0.228259, -0.310740, 0.577676, -0.495080, 0.000000, 0.000000, 0.000000], [0.099620, 0.618510, 0.074314, -0.476628, 0.580141, 0.090950, -0.173172, 0.000000, 0.000000, 0.000000], [0.138828, 0.681011, 0.348466, 0.203408, -0.571258, -0.069870, 0.151429, 0.000000, 0.000000, 0.000000], [-0.367336, -0.065146, 0.396485, -0.048429, 0.224395, 0.278226, 0.757306, 0.000000, 0.000000, 0.000000]]
fourier: [[12.888446, 15.671181, 17.395661, 18.376353, 38.614104], [15.028506, 17.440136, 18.746115, 19.385049, 128.994191], [26.588137, 26.716026, 31.550276, 34.150995, 180.168232], [16.205262, 17.935169, 23.636648, 23.641373, 70.954801], [15.999683, 17.255466, 18.047333, 19.696487, 81.760314], [16.563188, 20.295810, 20.759029, 24.534908, 51.685842], [14.539860, 16.331954, 18.623545, 19.751629, 42.327862]]
### 4
mean: [-0.434509, -0.518787, -0.662364, -0.438835, -0.574934, -0.431373, 2.110319]
std: [0.810969, 0.908529, 0.617149, 1.463210, 0.775042, 0.356904, 1.547668]
pca: [[-0.305427, 0.265954, -0.167519, 0.742286, 0.288686, -0.252180, -0.331659, 0.000000, 0.000000, 0.000000], [-0.347846, 0.183237, 0.361443, -0.448973, 0.537558, -0.462916, 0.099749, 0.000000, 0.000000, 0.000000], [-0.235196, 0.111199, 0.528871, 0.323293, 0.137859, 0.575951, 0.444263, 0.000000, 0.000000, 0.000000], [-0.557277, 0.394965, -0.426521, -0.353770, -0.098208, 0.435933, -0.163369, 0.000000, 0.000000, 0.000000], [-0.299334, 0.074087, -0.236128, 0.130931, -0.436431, -0.416481, 0.684166, 0.000000, 0.000000, 0.000000], [-0.040197, -0.501247, -0.521706, 0.016449, 0.586425, 0.159426, 0.324618, 0.000000, 0.000000, 0.000000], [0.573259, 0.685997, -0.227458, -0.018694, 0.254315, 0.038537, 0.287286, 0.000000, 0.000000, 0.000000]]
fourier: [[12.927493, 13.208524, 15.477418, 15.643660, 39.105776], [12.146094, 14.417758, 16.200827, 16.874661, 46.690871], [9.092720, 9.247117, 10.927036, 11.565999, 59.612779], [21.396278, 23.675060, 27.898960, 28.470891, 39.495135], [11.268329, 12.612259, 14.731701, 14.934979, 51.744043], [5.499828, 6.476049, 6.491524, 8.083424, 38.823531], [22.832511, 24.796423, 26.481947, 29.726944, 189.928736]]
### 6
mean: [-0.589779, 0.795856, 0.980460, -0.185272, -0.583008, -0.112390, 1.319966]
std: [1.346821, 1.123151, 0.252932, 0.956002, 1.351220, 1.308341, 1.531903]
pca: [[-0.428794, -0.067397, 0.326273, 0.056736, 0.364296, 0.203678, 0.726446, 0.000000, 0.000000, 0.000000], [0.356109, 0.385019, -0.245859, -0.325430, 0.294175, 0.685781, 0.041961, 0.000000, 0.000000, 0.000000], [0.053086, 0.707802, 0.115514, 0.685912, -0.099411, -0.018247, 0.046519, 0.000000, 0.000000, 0.000000], [-0.304158, 0.044966, 0.653425, -0.124430, -0.238434, 0.438486, -0.462491, 0.000000, 0.000000, 0.000000], [-0.430148, 0.101513, -0.186639, 0.092635, 0.711375, -0.131896, -0.487649, 0.000000, 0.000000, 0.000000], [-0.413924, 0.552530, -0.134252, -0.570109, -0.259344, -0.310574, 0.128894, 0.000000, 0.000000, 0.000000], [0.487474, 0.169169, 0.583039, -0.267045, 0.375104, -0.426338, -0.006146, 0.000000, 0.000000, 0.000000]]
fourier: [[19.050174, 21.286391, 22.920113, 23.486680, 53.080146], [16.505277, 17.659046, 19.647641, 19.708475, 71.627003], [3.815320, 3.993625, 4.399249, 5.003594, 88.241393], [13.159184, 15.556835, 16.407102, 16.472992, 16.674505], [18.878360, 20.808533, 22.466451, 23.792172, 52.470759], [17.004855, 18.432000, 20.118694, 21.235164, 23.196717], [21.804918, 23.290851, 25.900979, 27.468139, 118.796904]]
### 8
mean: [-0.264917, -0.537060, 1.494663, 0.234033, -0.684534, -0.172919, 1.657455]
std: [1.735466, 1.392754, 2.014275, 2.154680, 1.969991, 1.685478, 2.017545]
pca: [[0.351320, 0.314123, -0.290072, -0.175606, 0.362612, 0.644730, -0.340232, 0.000000, 0.000000, 0.000000], [0.282339, -0.191437, 0.174589, -0.105503, -0.414823, 0.544864, 0.610794, 0.000000, 0.000000, 0.000000], [-0.409064, 0.054096, 0.322284, 0.074440, 0.704257, 0.193805, 0.432195, 0.000000, 0.000000, 0.000000], [0.433827, 0.636271, 0.111152, -0.277127, 0.080676, -0.428996, 0.356726, 0.000000, 0.000000, 0.000000], [0.399263, -0.269126, 0.775688, -0.068246, 0.143847, -0.034348, -0.374084, 0.000000, 0.000000, 0.000000], [0.342098, 0.127555, -0.022070, 0.925973, 0.051666, 0.005819, 0.077995, 0.000000, 0.000000, 0.000000], [-0.406052, 0.606805, 0.408627, 0.116654, -0.413021, 0.254232, -0.226063, 0.000000, 0.000000, 0.000000]]
fourier: [[23.842535, 25.910668, 27.128936, 28.082668, 30.872983], [19.380869, 21.828671, 22.926544, 24.596173, 48.335389], [28.916416, 31.503662, 32.947013, 36.046241, 134.519720], [27.578462, 32.902244, 33.402435, 34.577774, 37.955203], [27.247738, 30.951102, 32.421452, 34.363285, 61.608056], [21.601977, 24.718906, 26.458497, 27.669359, 29.845623], [27.720186, 31.503799, 33.737777, 35.821073, 149.170959]]
### 10
mean: [-1.051050]
std: [4.193118]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[64.641795, 65.283467, 66.557329, 73.171258, 94.594494]]
## 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": [[-0.302559, -0.42915, 0.440507, -0.683904, -0.295211], [-0.454991, 0.120477, 0.476767, -0.187396, -0.21477], [-0.26631, -0.333843, 0.403892, 0.458327, -0.300135], [-0.004762, 0.200855, 0.461766, 0.10621, -0.398575], [0.482515, 0.224897, 0.104874, -0.076414, -0.640671], [-0.412634, -0.388429, -0.272537, 0.331864, 0.547274], [-0.005823, 0.313062, -0.681519, 0.248789, -0.391417]], "network.0.bias": [-0.062097, 0.307581, -0.042201, -0.229948, 0.06502, 0.263297, -0.218347], "network.2.weight": [[-0.31533, -0.689288, -0.272281, 0.106333, -0.295375, -0.310613, 0.48919], [0.283488, 0.265958, 0.393227, 0.461061, -0.176849, 0.482624, 0.447023], [0.585697, 0.77044, 0.375334, 0.642323, 0.589899, 0.791966, 0.060178], [-0.325629, -0.629308, 0.006629, -0.467388, -0.44892, -0.494284, 0.288761], [0.353371, 0.492092, -0.383784, -0.082323, 0.25759, -0.587911, -0.032739], [0.286795, 0.018796, -0.241272, 0.340835, 0.254112, -0.715254, -0.052788], [-0.252252, -0.55289, -0.085567, -0.24789, -0.429076, -0.352673, 0.478643]], "network.2.bias": [0.317437, 0.433143, -0.027913, 0.464111, -0.729432, -0.553169, 0.500448], "network.4.weight": [[0.577185, 0.326005, -0.520343, 0.295625, -0.230562, 0.149221, 0.2932], [0.743551, -0.088081, -0.250521, 0.71622, -0.01216, -0.733879, 0.353188], [0.46644, 0.013315, -0.216636, 0.596581, -0.208834, -0.139977, 0.358274], [0.692077, 0.232283, -0.664053, 0.729242, -0.478463, -0.656473, 0.739955], [0.209917, 0.103422, -0.409339, 0.173478, -0.097519, -0.07454, 0.543778], [0.048615, -0.303663, -0.016469, -0.514263, -0.137156, 0.255436, -0.352747], [-0.665508, 0.569176, 0.477951, -0.553765, 0.138166, 0.079286, -0.388753]], "network.4.bias": [0.09061, 0.090715, -0.295155, 0.502194, 0.049603, 0.008373, 0.456822], "network.6.weight": [[0.308265, 0.407433, 0.178062, 0.732595, 0.173616, -0.23757, -0.493268], [-0.227832, -0.485866, -0.437034, -0.334012, 0.035201, 0.295594, 0.491203], [0.279729, -0.15631, 0.148736, 0.271394, -0.536176, -0.315153, 0.19334], [-0.040147, 0.454601, 0.330069, 0.60434, -0.132365, -0.518081, -0.340692], [0.56867, 0.117533, 0.263554, 0.737939, 0.582502, 0.160256, -0.454787], [0.387482, 0.674871, 0.214244, 0.728213, 0.591768, 0.115595, -0.351527], [-0.607602, -0.699281, -0.477822, -0.55586, -0.018698, -0.37859, 0.579553]], "network.6.bias": [0.152268, -0.074439, 0.463459, 0.269514, 0.139948, 0.368957, 0.288702], "network.8.weight": [[0.305333, -0.250427, -0.165493, 0.385897, 0.375105, 0.635825, -0.316057], [0.472366, -0.173307, -0.064739, -0.060436, 0.0684, 0.444933, -0.51682], [-0.493536, 0.02296, 0.358361, 0.100713, -0.716121, -0.468959, 0.771693], [0.537887, -0.374286, 0.293417, 0.547285, 0.681671, 0.501495, -0.389658], [0.518289, -0.582564, 0.339438, 0.470399, 0.079605, 0.366461, -0.577004], [0.424219, -0.529191, 0.005927, -0.082457, 0.494877, 0.573686, -0.254976], [-0.251185, 0.183088, 0.625129, -0.391579, -0.422606, -0.296958, 0.789931]], "network.8.bias": [0.055093, 0.127468, 0.523179, 0.272139, 0.005302, 0.219117, 0.189976], "network.10.weight": [[0.498098, 0.338709, -0.624962, 0.608621, 0.37073, 0.531996, -0.425892]], "network.10.bias": [-0.464434]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6911207735538483, "train_acc": 0.475, "val_loss": 0.6785212755203247, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6646945178508759, "train_acc": 0.57, "val_loss": 0.587952196598053, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5416502952575684, "train_acc": 0.715, "val_loss": 0.28304070234298706, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.27060768008232117, "train_acc": 0.94, "val_loss": 0.24575653672218323, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.14138691127300262, "train_acc": 0.925, "val_loss": 0.011711155995726585, "val_acc": 1.0}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.10502615571022034, "train_acc": 0.96, "val_loss": 0.01206162665039301, "val_acc": 1.0}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.12097147107124329, "train_acc": 0.97, "val_loss": 0.5470453500747681, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.8602041304111481, "train_acc": 0.91, "val_loss": 0.2828126549720764, "val_acc": 0.98}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6785212755203247, "final_val_loss": 0.587952196598053, "initial_val_acc": 0.52, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.28304070234298706, "final_val_loss": 0.2828126549720764, "initial_val_acc": 0.94, "final_val_acc": 0.98, "best_val_acc": 1.0, "best_epoch": 4}, "improvement": 0.30000000000000004, "first_improvement_epoch": 1}}
|
9,663
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.7, "improved_accuracy": 0.94, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7856, "learning_rate": 0.08416672915105514, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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-1.369951,
0.840328,
0.408707,
0.271988
],
[
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-0.134684,
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],
[
-1.606792,
-0.205884,
-0.519528,
-0.127357,
-0.008419
],
[
-1.031664,
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0.194429,
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],
[
-1.061,
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-0.309704,
0.300446
],
[
1.017731,
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-0.174256
]
],
"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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[
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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.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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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.967740, 2.580678, -3.867482, -0.514468, -1.630528, 1.953293]
std: [3.012784, 4.023220, 3.866769, 2.676493, 2.442711, 2.811271]
pca: [[-0.269563, 0.785985, -0.004211, 0.109634, 0.518572, -0.169143, 0.000000, 0.000000, 0.000000, 0.000000], [0.566673, 0.104510, -0.244441, 0.146522, 0.328850, 0.691807, 0.000000, 0.000000, 0.000000, 0.000000], [-0.521687, -0.380435, -0.081452, 0.696906, 0.223392, 0.202224, 0.000000, 0.000000, 0.000000, 0.000000], [-0.344283, 0.214880, 0.595309, -0.166615, -0.262396, 0.619911, 0.000000, 0.000000, 0.000000, 0.000000], [-0.306319, -0.355913, -0.123659, -0.656668, 0.561477, 0.133168, 0.000000, 0.000000, 0.000000, 0.000000], [0.348851, -0.231793, 0.750940, 0.147850, 0.434659, -0.223328, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[44.186645, 49.907238, 64.827711, 70.859005, 87.096598], [66.740970, 71.047949, 73.295667, 77.938875, 232.261085], [70.134742, 70.526459, 70.545468, 74.882316, 348.073389], [40.139503, 43.009446, 43.916783, 46.302112, 50.146306], [42.830969, 45.595006, 45.891312, 50.609164, 146.747479], [41.488382, 47.950616, 51.078725, 53.538553, 175.796414]]
### 2
mean: [-1.115054, 2.626483, -3.263117, -0.489870, 3.379612, 3.974583]
std: [1.759403, 3.560005, 3.582420, 1.145877, 5.909035, 6.548187]
pca: [[-0.117681, 0.595322, -0.288352, 0.636108, -0.107210, 0.363962, 0.000000, 0.000000, 0.000000, 0.000000], [0.341835, -0.356230, -0.427495, -0.007786, 0.542806, 0.528014, 0.000000, 0.000000, 0.000000, 0.000000], [-0.334455, 0.545589, -0.056770, -0.430069, 0.624676, -0.109868, 0.000000, 0.000000, 0.000000, 0.000000], [-0.108101, 0.128973, 0.219297, -0.515440, -0.379362, 0.716935, 0.000000, 0.000000, 0.000000, 0.000000], [0.578424, 0.265786, 0.695958, 0.167552, 0.272162, 0.090996, 0.000000, 0.000000, 0.000000, 0.000000], [0.641233, 0.365717, -0.445455, -0.341459, -0.292678, -0.233208, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.351532, 31.113406, 31.594188, 32.881855, 100.354910], [59.218507, 62.262435, 67.341953, 70.124301, 236.383452], [61.503310, 66.168269, 68.289825, 70.814008, 293.680550], [19.313497, 19.994246, 21.963523, 23.199816, 44.088279], [94.238735, 95.398665, 96.833873, 99.629545, 304.165099], [109.211201, 110.073073, 110.464465, 122.542840, 357.712524]]
### 4
mean: [-9.780056, -9.479832, 10.538329, 12.518769, -9.230995, 12.335835]
std: [15.469451, 14.987073, 16.119198, 18.528227, 14.908007, 18.226076]
pca: [[-0.384168, 0.415749, -0.053144, 0.415787, 0.393603, -0.590712, 0.000000, 0.000000, 0.000000, 0.000000], [-0.372156, 0.633760, 0.174175, -0.354048, -0.548478, 0.057740, 0.000000, 0.000000, 0.000000, 0.000000], [0.400299, 0.464830, -0.089504, -0.517612, 0.581511, 0.098010, 0.000000, 0.000000, 0.000000, 0.000000], [0.460132, 0.450801, -0.259973, 0.604928, -0.231408, 0.313023, 0.000000, 0.000000, 0.000000, 0.000000], [-0.370239, 0.058703, 0.464786, 0.240194, 0.381447, 0.663518, 0.000000, 0.000000, 0.000000, 0.000000], [0.452634, 0.052604, 0.821715, 0.101082, -0.083916, -0.316038, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[260.422508, 260.794273, 261.508095, 277.042648, 880.204972], [251.399489, 252.038076, 252.398511, 269.600588, 853.184815], [273.109658, 274.496765, 275.215787, 285.749573, 948.449756], [312.785777, 314.547559, 315.044190, 329.150484, 1126.689297], [251.823918, 252.003599, 252.689160, 267.079893, 830.789560], [306.749438, 308.296237, 309.069354, 322.401765, 1110.225081]]
### 6
mean: [-19.172657, 23.113037, 14.658484, -11.301640, 16.568300, 30.099199]
std: [30.456791, 35.504559, 22.386076, 18.327578, 24.640825, 45.983227]
pca: [[-0.401764, 0.390932, -0.187780, 0.256410, -0.198957, 0.738354, 0.000000, 0.000000, 0.000000, 0.000000], [0.468381, -0.133609, 0.130812, 0.669993, 0.480968, 0.255804, 0.000000, 0.000000, 0.000000, 0.000000], [0.295283, 0.384629, -0.596256, 0.372745, -0.319620, -0.410184, 0.000000, 0.000000, 0.000000, 0.000000], [-0.241668, 0.602950, -0.040706, -0.129890, 0.713794, -0.223647, 0.000000, 0.000000, 0.000000, 0.000000], [0.324996, 0.550861, 0.696522, -0.012598, -0.324344, -0.020702, 0.000000, 0.000000, 0.000000, 0.000000], [0.606619, 0.119934, -0.324508, -0.573929, 0.110580, 0.413160, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[511.525777, 514.167743, 518.349423, 547.727885, 1725.538946], [598.675206, 601.160283, 602.711491, 635.047583, 2080.173309], [377.046731, 381.064637, 381.066612, 395.126182, 1319.263560], [304.648591, 307.010752, 313.280534, 333.337477, 1017.147521], [415.749349, 420.882512, 421.624413, 433.689379, 1491.147079], [777.889493, 778.877163, 779.774827, 819.386588, 2708.928056]]
### 8
mean: [55.148209, -29.643589, -29.974865, 56.452209, -24.669273, 53.569439]
std: [83.278473, 46.097778, 46.927834, 86.412163, 39.017803, 82.470070]
pca: [[0.506303, 0.841672, -0.096018, 0.065135, -0.053312, -0.137625, 0.000000, 0.000000, 0.000000, 0.000000], [-0.280269, 0.135185, -0.463158, 0.600385, -0.267511, 0.506591, 0.000000, 0.000000, 0.000000, 0.000000], [-0.285314, 0.204727, 0.206564, 0.401737, 0.817298, -0.068161, 0.000000, 0.000000, 0.000000, 0.000000], [0.525377, -0.149415, 0.426829, 0.074322, 0.135141, 0.704048, 0.000000, 0.000000, 0.000000, 0.000000], [-0.237223, 0.138394, 0.727819, 0.351845, -0.489227, -0.178084, 0.000000, 0.000000, 0.000000, 0.000000], [0.501404, -0.435800, -0.147286, 0.587013, -0.003694, -0.438612, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1409.130681, 1416.299275, 1419.557119, 1473.911642, 4963.339003], [778.678282, 781.521338, 782.014560, 822.800235, 2667.923228], [792.370998, 795.212426, 796.398138, 838.187441, 2697.737771], [1461.003565, 1466.484617, 1466.895886, 1540.715662, 5080.699013], [659.415769, 661.588112, 662.248698, 696.489602, 2220.234356], [1392.004848, 1398.045335, 1400.702282, 1473.675607, 4821.249096]]
### 10
mean: [-114.311134]
std: [172.274490]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2914.724887, 2932.859014, 2940.058153, 3046.121714, 10288.001031]]
## 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.533786,
-1.369951,
0.840328,
0.408707,
0.271988
],
[
1.796408,
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0.166571,
-0.134684,
-0.302683
],
[
-1.606792,
-0.205884,
-0.519528,
-0.127357,
-0.008419
],
[
-1.031664,
-0.557419,
0.194429,
0.522454,
0.287432
],
[
-1.061,
0.198168,
-0.488084,
-0.309704,
0.300446
],
[
1.017731,
0.671527,
-0.342215,
0.423464,
-0.174256
]
],
"network.0.bias": [
-0.774372,
-0.075679,
-0.124024,
-0.095893,
0.641867,
-0.515217
],
"network.2.weight": [
[
-0.281875,
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[
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0.125922,
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0.339068
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[
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[
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[
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0.85243
],
[
-0.358078,
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0.110011,
0.476523
]
],
"network.2.bias": [
0.728111,
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0.154374,
0.409676,
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0.169577
],
"network.4.weight": [
[
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],
[
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0.169839,
0.37147,
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],
[
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1.462271
],
[
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1.163746,
1.672381
],
[
0.598304,
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0.151394,
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-1.187611
],
[
0.056677,
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1.443159,
1.271158
]
],
"network.4.bias": [
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0.707501,
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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": [
0.553506,
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],
"network.8.weight": [
[
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],
[
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],
[
0.585265,
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],
[
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],
[
0.551501,
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],
[
-0.971641,
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0.543906,
0.582814
]
],
"network.8.bias": [
0.006852,
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0.412016,
0.121087,
0.678575,
0.060684
],
"network.10.weight": [
[
-0.828581,
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0.351916,
-0.550328,
0.559114,
-0.683531
]
],
"network.10.bias": [
0.005298
]
}
## Activation Signature
### 0
mean: [-0.967740, 2.580678, -3.867482, -0.514468, -1.630528, 1.953293]
std: [3.012784, 4.023220, 3.866769, 2.676493, 2.442711, 2.811271]
pca: [[-0.269563, 0.785985, -0.004211, 0.109634, 0.518572, -0.169143, 0.000000, 0.000000, 0.000000, 0.000000], [0.566673, 0.104510, -0.244441, 0.146522, 0.328850, 0.691807, 0.000000, 0.000000, 0.000000, 0.000000], [-0.521687, -0.380435, -0.081452, 0.696906, 0.223392, 0.202224, 0.000000, 0.000000, 0.000000, 0.000000], [-0.344283, 0.214880, 0.595309, -0.166615, -0.262396, 0.619911, 0.000000, 0.000000, 0.000000, 0.000000], [-0.306319, -0.355913, -0.123659, -0.656668, 0.561477, 0.133168, 0.000000, 0.000000, 0.000000, 0.000000], [0.348851, -0.231793, 0.750940, 0.147850, 0.434659, -0.223328, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[44.186645, 49.907238, 64.827711, 70.859005, 87.096598], [66.740970, 71.047949, 73.295667, 77.938875, 232.261085], [70.134742, 70.526459, 70.545468, 74.882316, 348.073389], [40.139503, 43.009446, 43.916783, 46.302112, 50.146306], [42.830969, 45.595006, 45.891312, 50.609164, 146.747479], [41.488382, 47.950616, 51.078725, 53.538553, 175.796414]]
### 2
mean: [-1.115054, 2.626483, -3.263117, -0.489870, 3.379612, 3.974583]
std: [1.759403, 3.560005, 3.582420, 1.145877, 5.909035, 6.548187]
pca: [[-0.117681, 0.595322, -0.288352, 0.636108, -0.107210, 0.363962, 0.000000, 0.000000, 0.000000, 0.000000], [0.341835, -0.356230, -0.427495, -0.007786, 0.542806, 0.528014, 0.000000, 0.000000, 0.000000, 0.000000], [-0.334455, 0.545589, -0.056770, -0.430069, 0.624676, -0.109868, 0.000000, 0.000000, 0.000000, 0.000000], [-0.108101, 0.128973, 0.219297, -0.515440, -0.379362, 0.716935, 0.000000, 0.000000, 0.000000, 0.000000], [0.578424, 0.265786, 0.695958, 0.167552, 0.272162, 0.090996, 0.000000, 0.000000, 0.000000, 0.000000], [0.641233, 0.365717, -0.445455, -0.341459, -0.292678, -0.233208, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.351532, 31.113406, 31.594188, 32.881855, 100.354910], [59.218507, 62.262435, 67.341953, 70.124301, 236.383452], [61.503310, 66.168269, 68.289825, 70.814008, 293.680550], [19.313497, 19.994246, 21.963523, 23.199816, 44.088279], [94.238735, 95.398665, 96.833873, 99.629545, 304.165099], [109.211201, 110.073073, 110.464465, 122.542840, 357.712524]]
### 4
mean: [-9.780056, -9.479832, 10.538329, 12.518769, -9.230995, 12.335835]
std: [15.469451, 14.987073, 16.119198, 18.528227, 14.908007, 18.226076]
pca: [[-0.384168, 0.415749, -0.053144, 0.415787, 0.393603, -0.590712, 0.000000, 0.000000, 0.000000, 0.000000], [-0.372156, 0.633760, 0.174175, -0.354048, -0.548478, 0.057740, 0.000000, 0.000000, 0.000000, 0.000000], [0.400299, 0.464830, -0.089504, -0.517612, 0.581511, 0.098010, 0.000000, 0.000000, 0.000000, 0.000000], [0.460132, 0.450801, -0.259973, 0.604928, -0.231408, 0.313023, 0.000000, 0.000000, 0.000000, 0.000000], [-0.370239, 0.058703, 0.464786, 0.240194, 0.381447, 0.663518, 0.000000, 0.000000, 0.000000, 0.000000], [0.452634, 0.052604, 0.821715, 0.101082, -0.083916, -0.316038, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[260.422508, 260.794273, 261.508095, 277.042648, 880.204972], [251.399489, 252.038076, 252.398511, 269.600588, 853.184815], [273.109658, 274.496765, 275.215787, 285.749573, 948.449756], [312.785777, 314.547559, 315.044190, 329.150484, 1126.689297], [251.823918, 252.003599, 252.689160, 267.079893, 830.789560], [306.749438, 308.296237, 309.069354, 322.401765, 1110.225081]]
### 6
mean: [-19.172657, 23.113037, 14.658484, -11.301640, 16.568300, 30.099199]
std: [30.456791, 35.504559, 22.386076, 18.327578, 24.640825, 45.983227]
pca: [[-0.401764, 0.390932, -0.187780, 0.256410, -0.198957, 0.738354, 0.000000, 0.000000, 0.000000, 0.000000], [0.468381, -0.133609, 0.130812, 0.669993, 0.480968, 0.255804, 0.000000, 0.000000, 0.000000, 0.000000], [0.295283, 0.384629, -0.596256, 0.372745, -0.319620, -0.410184, 0.000000, 0.000000, 0.000000, 0.000000], [-0.241668, 0.602950, -0.040706, -0.129890, 0.713794, -0.223647, 0.000000, 0.000000, 0.000000, 0.000000], [0.324996, 0.550861, 0.696522, -0.012598, -0.324344, -0.020702, 0.000000, 0.000000, 0.000000, 0.000000], [0.606619, 0.119934, -0.324508, -0.573929, 0.110580, 0.413160, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[511.525777, 514.167743, 518.349423, 547.727885, 1725.538946], [598.675206, 601.160283, 602.711491, 635.047583, 2080.173309], [377.046731, 381.064637, 381.066612, 395.126182, 1319.263560], [304.648591, 307.010752, 313.280534, 333.337477, 1017.147521], [415.749349, 420.882512, 421.624413, 433.689379, 1491.147079], [777.889493, 778.877163, 779.774827, 819.386588, 2708.928056]]
### 8
mean: [55.148209, -29.643589, -29.974865, 56.452209, -24.669273, 53.569439]
std: [83.278473, 46.097778, 46.927834, 86.412163, 39.017803, 82.470070]
pca: [[0.506303, 0.841672, -0.096018, 0.065135, -0.053312, -0.137625, 0.000000, 0.000000, 0.000000, 0.000000], [-0.280269, 0.135185, -0.463158, 0.600385, -0.267511, 0.506591, 0.000000, 0.000000, 0.000000, 0.000000], [-0.285314, 0.204727, 0.206564, 0.401737, 0.817298, -0.068161, 0.000000, 0.000000, 0.000000, 0.000000], [0.525377, -0.149415, 0.426829, 0.074322, 0.135141, 0.704048, 0.000000, 0.000000, 0.000000, 0.000000], [-0.237223, 0.138394, 0.727819, 0.351845, -0.489227, -0.178084, 0.000000, 0.000000, 0.000000, 0.000000], [0.501404, -0.435800, -0.147286, 0.587013, -0.003694, -0.438612, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1409.130681, 1416.299275, 1419.557119, 1473.911642, 4963.339003], [778.678282, 781.521338, 782.014560, 822.800235, 2667.923228], [792.370998, 795.212426, 796.398138, 838.187441, 2697.737771], [1461.003565, 1466.484617, 1466.895886, 1540.715662, 5080.699013], [659.415769, 661.588112, 662.248698, 696.489602, 2220.234356], [1392.004848, 1398.045335, 1400.702282, 1473.675607, 4821.249096]]
### 10
mean: [-114.311134]
std: [172.274490]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2914.724887, 2932.859014, 2940.058153, 3046.121714, 10288.001031]]
## 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": -0.9677400588989258, "std": 3.012784004211426, "pca": [-0.2695631980895996, 0.7859846353530884, -0.004211218561977148, 0.10963433235883713, 0.5185721516609192, -0.169142946600914, 0.0, 0.0, 0.0, 0.0], "fourier": [44.18664450763266, 49.907237679794704, 64.82771108887565, 70.85900514660834, 87.09659779071808]}, "1": {"mean": 2.5806784629821777, "std": 4.023219585418701, "pca": [0.5666730403900146, 0.10450964421033859, -0.24444131553173065, 0.14652228355407715, 0.3288496136665344, 0.6918070316314697, 0.0, 0.0, 0.0, 0.0], "fourier": [66.74096990725133, 71.04794893980609, 73.29566673014273, 77.93887457949037, 232.26108507066965]}, "2": {"mean": -3.8674821853637695, "std": 3.8667688369750977, "pca": [-0.5216872692108154, -0.38043469190597534, -0.08145229518413544, 0.6969064474105835, 0.2233923077583313, 0.20222418010234833, 0.0, 0.0, 0.0, 0.0], "fourier": [70.13474207192337, 70.52645940490876, 70.54546752720017, 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"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": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.533786, -1.369951, 0.840328, 0.408707, 0.271988], [1.796408, 0.40336, 0.166571, -0.134684, -0.302683], [-1.606792, -0.205884, -0.519528, -0.127357, -0.008419], [-1.031664, -0.557419, 0.194429, 0.522454, 0.287432], [-1.061, 0.198168, -0.488084, -0.309704, 0.300446], [1.017731, 0.671527, -0.342215, 0.423464, -0.174256]], "network.0.bias": [-0.774372, -0.075679, -0.124024, -0.095893, 0.641867, -0.515217], "network.2.weight": [[-0.281875, -0.23901, -1.071413, -0.939697, 0.473228, -0.258427], [0.421219, 0.702209, 0.942018, 0.125922, -0.56891, 0.339068], [-0.421018, -0.670095, -0.572079, -0.648019, 0.086438, -0.467246], [-0.261531, -0.197806, -0.70303, 0.076272, 0.111039, -0.140356], [-0.593073, 0.949609, 0.523917, -0.004012, 0.59578, 0.85243], [-0.358078, 1.289841, 0.73581, -0.608528, 0.110011, 0.476523]], "network.2.bias": [0.728111, -0.195943, 0.154374, 0.409676, -0.613089, 0.169577], "network.4.weight": [[0.400108, -0.597418, 0.203136, 0.015616, -1.293998, -0.964945], [0.550134, -0.471245, 0.169839, 0.37147, -1.357493, -0.891259], [-0.209093, 0.437322, 0.066289, -0.113633, 0.953054, 1.462271], [-0.325118, 0.402665, -0.598008, -0.066839, 1.163746, 1.672381], [0.598304, -0.443465, 0.151394, -0.021155, -1.034147, -1.187611], [0.056677, 0.613997, -0.230419, 0.070435, 1.443159, 1.271158]], "network.4.bias": [0.622337, 0.449453, -0.303465, 0.118568, 0.707501, -0.045375], "network.6.weight": [[0.735728, 0.59777, -0.605772, -0.819378, 0.725082, -0.28537], [-0.039895, -0.734629, 0.404575, 1.103592, -0.815063, 0.455095], [-0.391159, -0.014154, -0.049046, 0.715494, 0.381176, 0.545745], [0.832892, 0.635226, -0.141637, -0.733508, 0.507958, -0.116517], [0.336973, 0.224363, 0.445554, 0.716653, -0.331833, 0.233269], [-0.586231, -0.62424, 0.78886, 1.03009, -0.387502, 0.767349]], "network.6.bias": [0.553506, -0.235194, -0.549641, 0.358982, -0.075433, -0.290438], "network.8.weight": [[-0.219559, 0.675102, 0.196642, -0.566342, 0.475464, 0.944609], [0.460503, -0.311694, -0.445124, 0.504004, -0.424791, -0.313216], [0.585265, -0.646629, -0.496403, 0.434328, 0.135247, -0.350098], [-0.857175, 1.147225, 0.246499, -0.812199, 0.668538, 0.51128], [0.551501, -0.407734, -0.158287, 0.246695, 0.328048, -0.632464], [-0.971641, 1.045648, 0.217396, -0.869829, 0.543906, 0.582814]], "network.8.bias": [0.006852, 0.265141, 0.412016, 0.121087, 0.678575, 0.060684], "network.10.weight": [[-0.828581, 0.360587, 0.351916, -0.550328, 0.559114, -0.683531]], "network.10.bias": [0.005298]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6854366064071655, "train_acc": 0.575, "val_loss": 0.6535974144935608, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6250823736190796, "train_acc": 0.605, "val_loss": 0.4622360169887543, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.4977802336215973, "train_acc": 0.795, "val_loss": 0.5687955021858215, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4533500671386719, "train_acc": 0.795, "val_loss": 0.3701004683971405, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3668319135904312, "train_acc": 0.795, "val_loss": 0.3372059762477875, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.27415087074041367, "train_acc": 0.91, "val_loss": 0.38878560066223145, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.22693758457899094, "train_acc": 0.93, "val_loss": 0.2982170581817627, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.19596702605485916, "train_acc": 0.925, "val_loss": 0.2553826868534088, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.1761576309800148, "train_acc": 0.94, "val_loss": 0.24162903428077698, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.16575028747320175, "train_acc": 0.945, "val_loss": 0.2425396740436554, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.12800508737564087, "train_acc": 0.955, "val_loss": 0.22822871804237366, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.10893454775214195, "train_acc": 0.975, "val_loss": 0.22756034135818481, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6535974144935608, "final_val_loss": 0.4622360169887543, "initial_val_acc": 0.56, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.5687955021858215, "final_val_loss": 0.22756034135818481, "initial_val_acc": 0.76, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 10}, "improvement": 0.24, "first_improvement_epoch": 1}}
|
9,664
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.42, "improved_accuracy": 0.98, "improvement": 0.56, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6145, "learning_rate": 0.08094434232351375, "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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"network.4.weight": [
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}
## Activation Signature
### 0
mean: [0.709940, -1.691726, -1.468471, -1.493603, 2.455048, -2.277475, 0.890253]
std: [1.677003, 1.081727, 2.044811, 0.867045, 3.167849, 1.435484, 1.680372]
pca: [[0.205029, 0.714007, -0.411869, 0.290012, 0.421942, -0.121547, -0.040080, 0.000000, 0.000000, 0.000000], [-0.129004, -0.395184, -0.341894, 0.538987, -0.159080, -0.542180, -0.317055, 0.000000, 0.000000, 0.000000], [-0.468254, 0.159585, 0.151445, 0.641675, -0.192702, 0.370380, 0.382456, 0.000000, 0.000000, 0.000000], [-0.134129, -0.325815, -0.115684, -0.073411, 0.535303, -0.294455, 0.695578, 0.000000, 0.000000, 0.000000], [0.735616, -0.250584, -0.291786, 0.224819, -0.255366, 0.300831, 0.323547, 0.000000, 0.000000, 0.000000], [-0.259076, -0.313081, -0.472286, -0.051867, 0.375928, 0.608462, -0.312359, 0.000000, 0.000000, 0.000000], [0.309541, -0.203935, 0.607422, 0.393722, 0.516180, 0.081592, -0.255963, 0.000000, 0.000000, 0.000000]]
fourier: [[24.120491, 24.556942, 26.394793, 34.759809, 63.894573], [15.751178, 17.008384, 18.077283, 19.969582, 152.255338], [33.522363, 35.113149, 36.677932, 37.979856, 132.162351], [14.248254, 14.295135, 15.009198, 16.521816, 134.424262], [50.624898, 52.860579, 54.355725, 54.485382, 220.954281], [22.891170, 24.074891, 24.448742, 28.941172, 204.972742], [28.517300, 32.981983, 33.450469, 33.692215, 80.122733]]
### 2
mean: [1.624470, -2.322323, -3.165339, 2.894636, 0.871112, -0.352119, -1.314397]
std: [1.663477, 2.180748, 3.222666, 3.790414, 0.900765, 0.500076, 0.726207]
pca: [[0.289871, 0.080101, -0.358065, 0.489882, -0.206094, -0.372953, 0.599830, 0.000000, 0.000000, 0.000000], [-0.371451, -0.485680, 0.161916, 0.169009, 0.650124, -0.303832, 0.237451, 0.000000, 0.000000, 0.000000], [-0.561427, 0.395535, -0.132321, 0.637374, 0.031145, 0.224381, -0.230827, 0.000000, 0.000000, 0.000000], [0.666392, -0.096209, 0.200772, 0.480457, 0.347331, 0.185140, -0.347277, 0.000000, 0.000000, 0.000000], [0.095700, 0.630599, 0.267198, -0.183812, 0.443966, 0.241856, 0.482083, 0.000000, 0.000000, 0.000000], [-0.014618, -0.407562, -0.344442, 0.014323, 0.011529, 0.777633, 0.331645, 0.000000, 0.000000, 0.000000], [-0.096687, -0.168022, 0.773123, 0.245715, -0.464776, 0.144089, 0.259897, 0.000000, 0.000000, 0.000000]]
fourier: [[28.113741, 29.892106, 30.975205, 32.367886, 146.202289], [34.082881, 34.922526, 40.538516, 45.039806, 209.009084], [54.234073, 55.422870, 57.535082, 58.724756, 284.880510], [63.571306, 64.788183, 65.802055, 68.118740, 260.517230], [14.051696, 14.627412, 17.700978, 19.288614, 78.400109], [7.751629, 7.913609, 8.661134, 11.316452, 31.690682], [10.954211, 13.247035, 14.553993, 14.635977, 118.295731]]
### 4
mean: [1.125052, 1.187434, 3.071478, -1.324113, 3.034658, -1.962409, 3.205587]
std: [1.883711, 1.983311, 2.920467, 0.853515, 4.148974, 1.539127, 4.253111]
pca: [[0.255112, 0.307959, -0.058283, -0.085460, 0.232442, 0.765581, 0.435012, 0.000000, 0.000000, 0.000000], [0.269182, -0.058634, 0.797886, 0.470018, 0.153993, 0.102524, -0.179830, 0.000000, 0.000000, 0.000000], [0.395200, -0.523735, -0.146580, 0.307163, -0.261818, -0.159220, 0.599820, 0.000000, 0.000000, 0.000000], [-0.112977, 0.362657, 0.164929, -0.019291, 0.509739, -0.547222, 0.518515, 0.000000, 0.000000, 0.000000], [0.562573, 0.562389, 0.079991, -0.186843, -0.514270, -0.242128, -0.053128, 0.000000, 0.000000, 0.000000], [-0.206846, 0.416598, -0.358922, 0.798058, -0.124001, 0.025581, -0.043687, 0.000000, 0.000000, 0.000000], [0.578133, -0.077909, -0.419607, 0.072472, 0.560379, -0.138896, -0.380858, 0.000000, 0.000000, 0.000000]]
fourier: [[31.886083, 31.912076, 32.109746, 34.601842, 101.254692], [33.586677, 34.022235, 34.792204, 36.269526, 106.869071], [46.508504, 46.562001, 50.851615, 55.257062, 276.433047], [12.866379, 13.335822, 14.836240, 16.968032, 119.170164], [69.906888, 70.969128, 70.970155, 75.470003, 273.119212], [24.507317, 24.786425, 26.562680, 28.838078, 176.616834], [69.796670, 72.931478, 73.335511, 76.632880, 288.502800]]
### 6
mean: [4.885907, -2.762039, 3.059854, 5.030479, 5.482100, -5.786134, -0.049894]
std: [6.816651, 3.052801, 4.382859, 7.030675, 7.027681, 6.728969, 1.813641]
pca: [[0.457071, 0.563441, -0.143464, -0.180376, -0.473055, 0.404062, 0.182909, 0.000000, 0.000000, 0.000000], [-0.204729, 0.155185, 0.308313, 0.057442, -0.295429, -0.511416, 0.697727, 0.000000, 0.000000, 0.000000], [0.293917, 0.239997, 0.076528, 0.799394, 0.406280, 0.108794, 0.185003, 0.000000, 0.000000, 0.000000], [0.471528, -0.187686, 0.815409, -0.240459, 0.103946, 0.063739, -0.069685, 0.000000, 0.000000, 0.000000], [0.471347, -0.091517, -0.414294, -0.385777, 0.479420, -0.318785, 0.342820, 0.000000, 0.000000, 0.000000], [-0.451210, 0.511079, 0.198056, -0.344156, 0.532065, 0.280473, 0.125614, 0.000000, 0.000000, 0.000000], [-0.121188, -0.544104, -0.052426, 0.006763, -0.011643, 0.615629, 0.554378, 0.000000, 0.000000, 0.000000]]
fourier: [[112.307502, 116.351751, 117.034355, 123.569894, 439.731599], [51.267103, 51.578152, 53.545508, 53.678174, 248.583540], [72.249516, 74.990468, 75.541322, 79.134104, 275.386823], [116.871973, 118.806636, 123.258382, 124.677974, 452.743096], [117.805992, 118.802732, 122.335885, 124.654145, 493.388997], [112.616853, 113.570648, 117.999249, 118.962511, 520.752086], [28.798454, 29.169050, 29.455898, 32.134960, 34.308326]]
### 8
mean: [-5.133275]
std: [8.684317]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[140.147256, 146.249856, 147.854948, 155.411839, 461.994656]]
## 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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0.229337,
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0.581347,
0.178971
],
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],
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"network.2.weight": [
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]
],
"network.2.bias": [
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}
## Activation Signature
### 0
mean: [0.709940, -1.691726, -1.468471, -1.493603, 2.455048, -2.277475, 0.890253]
std: [1.677003, 1.081727, 2.044811, 0.867045, 3.167849, 1.435484, 1.680372]
pca: [[0.205029, 0.714007, -0.411869, 0.290012, 0.421942, -0.121547, -0.040080, 0.000000, 0.000000, 0.000000], [-0.129004, -0.395184, -0.341894, 0.538987, -0.159080, -0.542180, -0.317055, 0.000000, 0.000000, 0.000000], [-0.468254, 0.159585, 0.151445, 0.641675, -0.192702, 0.370380, 0.382456, 0.000000, 0.000000, 0.000000], [-0.134129, -0.325815, -0.115684, -0.073411, 0.535303, -0.294455, 0.695578, 0.000000, 0.000000, 0.000000], [0.735616, -0.250584, -0.291786, 0.224819, -0.255366, 0.300831, 0.323547, 0.000000, 0.000000, 0.000000], [-0.259076, -0.313081, -0.472286, -0.051867, 0.375928, 0.608462, -0.312359, 0.000000, 0.000000, 0.000000], [0.309541, -0.203935, 0.607422, 0.393722, 0.516180, 0.081592, -0.255963, 0.000000, 0.000000, 0.000000]]
fourier: [[24.120491, 24.556942, 26.394793, 34.759809, 63.894573], [15.751178, 17.008384, 18.077283, 19.969582, 152.255338], [33.522363, 35.113149, 36.677932, 37.979856, 132.162351], [14.248254, 14.295135, 15.009198, 16.521816, 134.424262], [50.624898, 52.860579, 54.355725, 54.485382, 220.954281], [22.891170, 24.074891, 24.448742, 28.941172, 204.972742], [28.517300, 32.981983, 33.450469, 33.692215, 80.122733]]
### 2
mean: [1.624470, -2.322323, -3.165339, 2.894636, 0.871112, -0.352119, -1.314397]
std: [1.663477, 2.180748, 3.222666, 3.790414, 0.900765, 0.500076, 0.726207]
pca: [[0.289871, 0.080101, -0.358065, 0.489882, -0.206094, -0.372953, 0.599830, 0.000000, 0.000000, 0.000000], [-0.371451, -0.485680, 0.161916, 0.169009, 0.650124, -0.303832, 0.237451, 0.000000, 0.000000, 0.000000], [-0.561427, 0.395535, -0.132321, 0.637374, 0.031145, 0.224381, -0.230827, 0.000000, 0.000000, 0.000000], [0.666392, -0.096209, 0.200772, 0.480457, 0.347331, 0.185140, -0.347277, 0.000000, 0.000000, 0.000000], [0.095700, 0.630599, 0.267198, -0.183812, 0.443966, 0.241856, 0.482083, 0.000000, 0.000000, 0.000000], [-0.014618, -0.407562, -0.344442, 0.014323, 0.011529, 0.777633, 0.331645, 0.000000, 0.000000, 0.000000], [-0.096687, -0.168022, 0.773123, 0.245715, -0.464776, 0.144089, 0.259897, 0.000000, 0.000000, 0.000000]]
fourier: [[28.113741, 29.892106, 30.975205, 32.367886, 146.202289], [34.082881, 34.922526, 40.538516, 45.039806, 209.009084], [54.234073, 55.422870, 57.535082, 58.724756, 284.880510], [63.571306, 64.788183, 65.802055, 68.118740, 260.517230], [14.051696, 14.627412, 17.700978, 19.288614, 78.400109], [7.751629, 7.913609, 8.661134, 11.316452, 31.690682], [10.954211, 13.247035, 14.553993, 14.635977, 118.295731]]
### 4
mean: [1.125052, 1.187434, 3.071478, -1.324113, 3.034658, -1.962409, 3.205587]
std: [1.883711, 1.983311, 2.920467, 0.853515, 4.148974, 1.539127, 4.253111]
pca: [[0.255112, 0.307959, -0.058283, -0.085460, 0.232442, 0.765581, 0.435012, 0.000000, 0.000000, 0.000000], [0.269182, -0.058634, 0.797886, 0.470018, 0.153993, 0.102524, -0.179830, 0.000000, 0.000000, 0.000000], [0.395200, -0.523735, -0.146580, 0.307163, -0.261818, -0.159220, 0.599820, 0.000000, 0.000000, 0.000000], [-0.112977, 0.362657, 0.164929, -0.019291, 0.509739, -0.547222, 0.518515, 0.000000, 0.000000, 0.000000], [0.562573, 0.562389, 0.079991, -0.186843, -0.514270, -0.242128, -0.053128, 0.000000, 0.000000, 0.000000], [-0.206846, 0.416598, -0.358922, 0.798058, -0.124001, 0.025581, -0.043687, 0.000000, 0.000000, 0.000000], [0.578133, -0.077909, -0.419607, 0.072472, 0.560379, -0.138896, -0.380858, 0.000000, 0.000000, 0.000000]]
fourier: [[31.886083, 31.912076, 32.109746, 34.601842, 101.254692], [33.586677, 34.022235, 34.792204, 36.269526, 106.869071], [46.508504, 46.562001, 50.851615, 55.257062, 276.433047], [12.866379, 13.335822, 14.836240, 16.968032, 119.170164], [69.906888, 70.969128, 70.970155, 75.470003, 273.119212], [24.507317, 24.786425, 26.562680, 28.838078, 176.616834], [69.796670, 72.931478, 73.335511, 76.632880, 288.502800]]
### 6
mean: [4.885907, -2.762039, 3.059854, 5.030479, 5.482100, -5.786134, -0.049894]
std: [6.816651, 3.052801, 4.382859, 7.030675, 7.027681, 6.728969, 1.813641]
pca: [[0.457071, 0.563441, -0.143464, -0.180376, -0.473055, 0.404062, 0.182909, 0.000000, 0.000000, 0.000000], [-0.204729, 0.155185, 0.308313, 0.057442, -0.295429, -0.511416, 0.697727, 0.000000, 0.000000, 0.000000], [0.293917, 0.239997, 0.076528, 0.799394, 0.406280, 0.108794, 0.185003, 0.000000, 0.000000, 0.000000], [0.471528, -0.187686, 0.815409, -0.240459, 0.103946, 0.063739, -0.069685, 0.000000, 0.000000, 0.000000], [0.471347, -0.091517, -0.414294, -0.385777, 0.479420, -0.318785, 0.342820, 0.000000, 0.000000, 0.000000], [-0.451210, 0.511079, 0.198056, -0.344156, 0.532065, 0.280473, 0.125614, 0.000000, 0.000000, 0.000000], [-0.121188, -0.544104, -0.052426, 0.006763, -0.011643, 0.615629, 0.554378, 0.000000, 0.000000, 0.000000]]
fourier: [[112.307502, 116.351751, 117.034355, 123.569894, 439.731599], [51.267103, 51.578152, 53.545508, 53.678174, 248.583540], [72.249516, 74.990468, 75.541322, 79.134104, 275.386823], [116.871973, 118.806636, 123.258382, 124.677974, 452.743096], [117.805992, 118.802732, 122.335885, 124.654145, 493.388997], [112.616853, 113.570648, 117.999249, 118.962511, 520.752086], [28.798454, 29.169050, 29.455898, 32.134960, 34.308326]]
### 8
mean: [-5.133275]
std: [8.684317]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[140.147256, 146.249856, 147.854948, 155.411839, 461.994656]]
## 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": [28.79845369933956, 29.169049953068097, 29.45589801568461, 32.13495991214945, 34.30832621071256]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -5.133274555206299, "std": 8.684316635131836, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [140.14725616205698, 146.2498557080007, 147.85494814279247, 155.4118394727968, 461.99465638399124]}}, "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": 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": 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": [[0.339467, 0.229337, -0.343989, 0.581347, 0.178971], [-0.038697, 0.081262, -0.325822, -0.403234, -0.095152], [-0.736114, -0.334757, -0.289041, -0.12321, 0.258284], [-0.006098, -0.211737, -0.104966, -0.193594, -0.218451], [1.12591, 0.736677, 0.210801, -0.035849, -0.035105], [-0.141845, -0.127956, -0.405362, -0.236265, -0.326246], [0.47461, -0.124814, 0.501456, -0.05874, 0.235879]], "network.0.bias": [-0.879253, -0.128974, 0.607025, -0.196345, -0.608641, -0.112011, -0.685374], "network.2.weight": [[0.458467, -0.14323, -0.467701, 0.035819, 0.285512, -0.155647, 0.355052], [-0.775523, 0.110839, 0.094192, -0.328933, -0.466813, -0.22331, -0.118937], [-0.1836, 0.065112, -0.080687, -0.353583, -0.803187, -0.013401, -0.579061], [0.488579, 0.029458, -0.520002, 0.110593, 0.953151, -0.03115, 0.44765], [0.477806, -0.242721, 0.147301, -0.438656, 0.216907, 0.05526, -0.387591], [-0.205407, 0.291119, -0.10164, 0.21653, -0.123477, -0.333012, 0.376939], [-0.483954, 0.303933, 0.083252, -0.213823, 0.083027, -0.135343, -0.388965]], "network.2.bias": [0.070245, -0.170727, -0.242825, -0.501279, 0.214446, -0.223188, -0.581583], "network.4.weight": [[0.171015, -0.703541, -0.20809, 0.459935, -0.163026, -0.061994, 0.002536], [0.460001, -0.303096, -0.4621, 0.305488, 0.174439, 0.332688, -0.518402], [0.26108, 0.156397, 0.187481, 0.574235, 0.640124, 0.136234, 0.335816], [-0.01315, -0.16851, -0.083275, -0.15973, -0.383978, -0.083624, -0.46233], [0.412648, -0.709445, 0.44773, 0.978801, -0.239348, 0.010075, 0.184522], [-0.004176, 0.028222, -0.539135, -0.314498, -0.590084, -0.631252, -0.614509], [0.314209, -0.066103, -0.109796, 0.967592, 0.317859, -0.056252, -0.224645]], "network.4.bias": [-0.385146, -0.677158, 0.312943, -0.46148, -0.369942, -0.416091, -0.511378], "network.6.weight": [[0.814572, 0.42568, -0.162585, 0.616226, 0.363648, 0.261103, 0.856804], [-0.245063, -0.018425, -0.364591, 0.310089, -0.301178, -0.260603, -0.073051], [0.126733, 0.574175, -0.042016, -0.132491, 0.382619, 0.073654, 0.398882], [0.180279, 0.427021, 0.050831, -0.007455, 0.254904, -0.141409, 1.134684], [0.693269, 0.118349, 0.498682, 0.395185, 0.519036, 0.581737, 0.485502], [0.020925, -0.223296, -0.672341, 0.004853, -0.707601, 0.014894, -0.366926], [-0.416517, -0.277187, 0.376005, -0.361334, 0.004113, -0.376199, -0.397928]], "network.6.bias": [-0.18412, -0.121204, -0.264528, -0.471466, -0.314793, -0.012547, 0.993899], "network.8.weight": [[-0.054991, -0.155827, -0.367014, -0.493054, -0.401183, 0.058111, 1.138696]], "network.8.bias": [0.301194]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6797714531421661, "train_acc": 0.585, "val_loss": 0.7911241054534912, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7087891101837158, "train_acc": 0.585, "val_loss": 0.757262110710144, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6576564610004425, "train_acc": 0.585, "val_loss": 0.6692647337913513, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6035821735858917, "train_acc": 0.52, "val_loss": 0.6678181290626526, "val_acc": 0.4}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5434093177318573, "train_acc": 0.595, "val_loss": 0.3886939585208893, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4477873295545578, "train_acc": 0.78, "val_loss": 0.31559664011001587, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3938860148191452, "train_acc": 0.835, "val_loss": 0.2165236920118332, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.2538032531738281, "train_acc": 0.92, "val_loss": 0.14078478515148163, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.20875991135835648, "train_acc": 0.92, "val_loss": 0.10602176934480667, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.23101286590099335, "train_acc": 0.91, "val_loss": 0.08506208658218384, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.17912933230400085, "train_acc": 0.945, "val_loss": 0.07499561458826065, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.19560328871011734, "train_acc": 0.92, "val_loss": 0.08137188851833344, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.18509948253631592, "train_acc": 0.94, "val_loss": 0.05583886057138443, "val_acc": 0.98}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7911241054534912, "final_val_loss": 0.6692647337913513, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.6678181290626526, "final_val_loss": 0.05583886057138443, "initial_val_acc": 0.4, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 7}, "improvement": 0.56, "first_improvement_epoch": 2}}
|
9,665
|
{"target_pattern": "alternating", "degraded_accuracy": 0.48, "improved_accuracy": 0.98, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8971, "learning_rate": 0.042590690801618, "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: 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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"network.2.bias": [
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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: [1.690630, -1.885730, -2.969238, 0.251079, -0.148334, -0.966159, -0.182383]
std: [1.390793, 1.317612, 3.545165, 1.599964, 1.307895, 1.392649, 1.801855]
pca: [[-0.025335, 0.445395, -0.218318, 0.594804, 0.526470, 0.196566, 0.289343, 0.000000, 0.000000, 0.000000], [-0.093606, -0.438252, 0.318266, -0.216514, 0.716373, -0.282900, 0.240371, 0.000000, 0.000000, 0.000000], [0.908727, -0.151057, 0.147063, 0.024715, 0.123854, 0.328617, -0.076349, 0.000000, 0.000000, 0.000000], [-0.048200, 0.433175, 0.648368, -0.251175, -0.174239, 0.240268, 0.488343, 0.000000, 0.000000, 0.000000], [0.062130, -0.234453, -0.576270, -0.320242, -0.120768, 0.203836, 0.671115, 0.000000, 0.000000, 0.000000], [0.048866, -0.416414, 0.241259, 0.645114, -0.384781, -0.251543, 0.372160, 0.000000, 0.000000, 0.000000], [-0.395271, -0.413196, 0.136903, 0.130013, 0.036041, 0.781529, -0.159048, 0.000000, 0.000000, 0.000000]]
fourier: [[19.484193, 19.883058, 20.842538, 32.821924, 152.156685], [20.337894, 24.869563, 24.920144, 27.520240, 169.715718], [58.903522, 63.023289, 64.340865, 68.398277, 267.231371], [24.169036, 24.592357, 25.590896, 25.831015, 27.018108], [21.313421, 21.475736, 21.593636, 24.433519, 24.713161], [19.365108, 22.382598, 23.719429, 27.681563, 86.954332], [30.242884, 30.441227, 34.618982, 37.606650, 39.556365]]
### 2
mean: [-0.446831, 1.866120, 0.097047, 1.190397, 1.059703, 0.422053, 1.619711]
std: [1.217112, 0.972812, 0.567440, 0.962198, 0.896236, 0.889976, 1.213786]
pca: [[0.097027, 0.772911, 0.009880, -0.471095, -0.138994, 0.386555, -0.049219, 0.000000, 0.000000, 0.000000], [0.468406, -0.178405, -0.260738, -0.320622, 0.301960, -0.123784, -0.686646, 0.000000, 0.000000, 0.000000], [-0.102949, 0.266309, 0.425254, 0.382139, 0.721226, 0.182694, -0.195104, 0.000000, 0.000000, 0.000000], [0.490808, -0.051088, -0.020749, -0.261125, 0.449169, -0.089194, 0.691500, 0.000000, 0.000000, 0.000000], [0.432012, -0.034083, -0.390885, 0.541802, -0.121575, 0.591241, 0.038951, 0.000000, 0.000000, 0.000000], [-0.005829, -0.529356, 0.486445, -0.344717, -0.068968, 0.598933, -0.028495, 0.000000, 0.000000, 0.000000], [0.577082, 0.125982, 0.601021, 0.220625, -0.384763, -0.292631, -0.086761, 0.000000, 0.000000, 0.000000]]
fourier: [[21.224257, 22.150774, 24.277333, 24.293904, 40.214829], [13.952167, 14.744679, 15.242612, 16.046662, 167.950765], [7.786931, 8.592823, 8.734202, 9.152305, 11.042235], [15.410690, 15.715948, 15.925792, 17.960934, 107.135743], [13.923271, 15.068184, 17.264751, 18.261332, 95.373220], [14.160173, 14.756488, 16.287506, 19.163438, 37.984779], [18.863523, 20.497550, 22.414472, 23.787602, 145.774011]]
### 4
mean: [-0.299367, 3.714287, -1.056257, 1.245504, 1.548035, -1.511372, -0.726630]
std: [0.416607, 2.993715, 0.567271, 1.233031, 1.162524, 1.054057, 0.767771]
pca: [[-0.086848, 0.091319, -0.475013, 0.028797, 0.283579, 0.109073, 0.815682, 0.000000, 0.000000, 0.000000], [0.850067, -0.311185, -0.030339, 0.163509, 0.150855, -0.347747, 0.095961, 0.000000, 0.000000, 0.000000], [-0.105649, -0.089359, 0.737208, -0.340434, 0.471719, -0.117525, 0.291806, 0.000000, 0.000000, 0.000000], [0.349373, -0.135984, 0.055742, -0.196436, 0.082865, 0.898676, -0.057161, 0.000000, 0.000000, 0.000000], [0.197157, 0.775090, -0.029209, 0.150972, 0.514351, 0.010949, -0.268405, 0.000000, 0.000000, 0.000000], [-0.267144, -0.371516, 0.100232, 0.771726, 0.380241, 0.168027, -0.110389, 0.000000, 0.000000, 0.000000], [-0.162428, -0.359943, -0.464714, -0.446765, 0.508231, -0.131877, -0.390908, 0.000000, 0.000000, 0.000000]]
fourier: [[6.334432, 6.700461, 6.763499, 6.842023, 26.943023], [44.317164, 48.135154, 48.503712, 52.792939, 334.285802], [8.255933, 9.324294, 9.637129, 10.851610, 95.063179], [18.159015, 19.506037, 19.507032, 21.777757, 112.095341], [17.910938, 22.717937, 23.221905, 26.583847, 139.323180], [17.761807, 18.505649, 19.806492, 20.699010, 136.023443], [11.390366, 15.692765, 18.147125, 18.405743, 65.396745]]
### 6
mean: [0.592782, 3.466424, 0.127420, -1.320997, 1.758428, -0.845910, 4.293514]
std: [0.778747, 2.804124, 1.058520, 0.956393, 1.501666, 0.350028, 3.244528]
pca: [[-0.134339, 0.404420, 0.301987, 0.533270, 0.079886, 0.660115, -0.026292, 0.000000, 0.000000, 0.000000], [0.596555, -0.011347, 0.217847, -0.396761, 0.541881, 0.273032, -0.266336, 0.000000, 0.000000, 0.000000], [-0.167917, 0.620129, 0.531163, -0.230031, 0.107198, -0.480234, 0.100399, 0.000000, 0.000000, 0.000000], [-0.159734, -0.523902, 0.413986, 0.462330, 0.411568, -0.331724, -0.188278, 0.000000, 0.000000, 0.000000], [0.306790, -0.325328, 0.598879, -0.081453, -0.530842, 0.132473, 0.367978, 0.000000, 0.000000, 0.000000], [-0.071507, -0.078564, -0.123598, -0.025240, 0.485021, 0.085851, 0.854509, 0.000000, 0.000000, 0.000000], [0.687844, 0.255484, -0.184109, 0.533168, -0.045430, -0.352303, 0.131349, 0.000000, 0.000000, 0.000000]]
fourier: [[9.995151, 10.582067, 10.960172, 13.551630, 53.350343], [43.337714, 48.280225, 48.548295, 48.941651, 311.978178], [13.892918, 14.340363, 15.102040, 15.382286, 18.911730], [16.622389, 17.189456, 19.825767, 21.378696, 118.889698], [22.049898, 22.235916, 23.050365, 24.931174, 158.258533], [6.119827, 6.383907, 6.463709, 6.719668, 76.131879], [54.998548, 56.939556, 57.962900, 58.603298, 386.416250]]
### 8
mean: [4.077184, 2.302168, 4.568102, -0.799046, 1.238012, 1.600981, 3.631978]
std: [3.993052, 2.487056, 4.007301, 0.351928, 0.537451, 1.252409, 3.830555]
pca: [[0.545533, 0.038408, -0.023662, -0.299808, 0.084500, 0.759950, -0.160650, 0.000000, 0.000000, 0.000000], [0.339429, 0.080504, 0.361123, -0.446123, -0.153371, -0.251751, 0.679684, 0.000000, 0.000000, 0.000000], [0.546237, 0.233895, -0.408287, 0.623603, -0.105635, -0.103141, 0.263710, 0.000000, 0.000000, 0.000000], [-0.047700, -0.019186, -0.127593, -0.003561, 0.943824, -0.011649, 0.300208, 0.000000, 0.000000, 0.000000], [-0.042098, 0.371430, 0.767756, 0.464296, 0.121307, 0.199800, -0.024760, 0.000000, 0.000000, 0.000000], [-0.106141, 0.884523, -0.216536, -0.317465, 0.040679, -0.145110, -0.189654, 0.000000, 0.000000, 0.000000], [0.522965, -0.128946, 0.222969, -0.076434, 0.225843, -0.536047, -0.562114, 0.000000, 0.000000, 0.000000]]
fourier: [[59.744970, 68.403842, 68.425796, 68.583555, 366.946521], [37.247110, 42.674767, 42.924978, 43.139857, 207.195102], [63.415137, 69.777942, 69.982846, 70.240075, 411.129163], [5.081170, 5.920047, 5.983626, 6.027431, 71.914096], [8.159990, 8.517288, 9.198039, 9.406805, 111.421071], [17.908611, 18.208885, 18.660249, 22.301335, 144.088278], [54.633065, 63.604559, 64.171394, 64.977062, 326.878066]]
### 10
mean: [-5.687652]
std: [7.992662]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[114.187338, 133.541346, 136.207905, 137.271857, 511.888657]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.555729,
0.427041,
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],
[
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[
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0.457886
],
[
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0.220866,
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],
[
0.566707,
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],
[
0.079432,
0.251123,
-0.638379,
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0.386099
],
[
-0.129418,
0.575383,
-0.690082,
0.207566,
-0.208199
]
],
"network.0.bias": [
0.153799,
-0.258165,
-0.317829,
-0.404422,
0.142966,
0.212549,
0.183365
],
"network.2.weight": [
[
0.057669,
0.191065,
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0.011043,
-0.094268,
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],
[
0.360258,
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0.70643,
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],
[
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0.415698,
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],
[
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],
[
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0.747628,
0.788378,
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],
[
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-0.476675,
0.096072,
-0.237678,
-0.393788,
0.634646
],
[
0.703661,
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0.005999,
0.61605,
0.084778,
0.37698,
-0.27339
]
],
"network.2.bias": [
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0.010164
],
"network.4.weight": [
[
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[
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0.550722
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[
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[
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0.244774
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[
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0.121878,
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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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],
[
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0.201491,
-0.526968,
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]
],
"network.6.bias": [
0.889875,
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0.35776,
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0.110089,
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],
"network.8.weight": [
[
-0.588665,
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0.068092,
-0.172906,
0.530883
],
[
-0.248053,
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0.05544,
0.370094,
-0.259052,
0.400614
],
[
-0.203975,
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],
[
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],
[
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[
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[
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]
],
"network.8.bias": [
-0.151904,
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-0.136183
],
"network.10.weight": [
[
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0.161755,
0.570005,
0.822879,
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],
"network.10.bias": [
0.595196
]
}
## Activation Signature
### 0
mean: [1.690630, -1.885730, -2.969238, 0.251079, -0.148334, -0.966159, -0.182383]
std: [1.390793, 1.317612, 3.545165, 1.599964, 1.307895, 1.392649, 1.801855]
pca: [[-0.025335, 0.445395, -0.218318, 0.594804, 0.526470, 0.196566, 0.289343, 0.000000, 0.000000, 0.000000], [-0.093606, -0.438252, 0.318266, -0.216514, 0.716373, -0.282900, 0.240371, 0.000000, 0.000000, 0.000000], [0.908727, -0.151057, 0.147063, 0.024715, 0.123854, 0.328617, -0.076349, 0.000000, 0.000000, 0.000000], [-0.048200, 0.433175, 0.648368, -0.251175, -0.174239, 0.240268, 0.488343, 0.000000, 0.000000, 0.000000], [0.062130, -0.234453, -0.576270, -0.320242, -0.120768, 0.203836, 0.671115, 0.000000, 0.000000, 0.000000], [0.048866, -0.416414, 0.241259, 0.645114, -0.384781, -0.251543, 0.372160, 0.000000, 0.000000, 0.000000], [-0.395271, -0.413196, 0.136903, 0.130013, 0.036041, 0.781529, -0.159048, 0.000000, 0.000000, 0.000000]]
fourier: [[19.484193, 19.883058, 20.842538, 32.821924, 152.156685], [20.337894, 24.869563, 24.920144, 27.520240, 169.715718], [58.903522, 63.023289, 64.340865, 68.398277, 267.231371], [24.169036, 24.592357, 25.590896, 25.831015, 27.018108], [21.313421, 21.475736, 21.593636, 24.433519, 24.713161], [19.365108, 22.382598, 23.719429, 27.681563, 86.954332], [30.242884, 30.441227, 34.618982, 37.606650, 39.556365]]
### 2
mean: [-0.446831, 1.866120, 0.097047, 1.190397, 1.059703, 0.422053, 1.619711]
std: [1.217112, 0.972812, 0.567440, 0.962198, 0.896236, 0.889976, 1.213786]
pca: [[0.097027, 0.772911, 0.009880, -0.471095, -0.138994, 0.386555, -0.049219, 0.000000, 0.000000, 0.000000], [0.468406, -0.178405, -0.260738, -0.320622, 0.301960, -0.123784, -0.686646, 0.000000, 0.000000, 0.000000], [-0.102949, 0.266309, 0.425254, 0.382139, 0.721226, 0.182694, -0.195104, 0.000000, 0.000000, 0.000000], [0.490808, -0.051088, -0.020749, -0.261125, 0.449169, -0.089194, 0.691500, 0.000000, 0.000000, 0.000000], [0.432012, -0.034083, -0.390885, 0.541802, -0.121575, 0.591241, 0.038951, 0.000000, 0.000000, 0.000000], [-0.005829, -0.529356, 0.486445, -0.344717, -0.068968, 0.598933, -0.028495, 0.000000, 0.000000, 0.000000], [0.577082, 0.125982, 0.601021, 0.220625, -0.384763, -0.292631, -0.086761, 0.000000, 0.000000, 0.000000]]
fourier: [[21.224257, 22.150774, 24.277333, 24.293904, 40.214829], [13.952167, 14.744679, 15.242612, 16.046662, 167.950765], [7.786931, 8.592823, 8.734202, 9.152305, 11.042235], [15.410690, 15.715948, 15.925792, 17.960934, 107.135743], [13.923271, 15.068184, 17.264751, 18.261332, 95.373220], [14.160173, 14.756488, 16.287506, 19.163438, 37.984779], [18.863523, 20.497550, 22.414472, 23.787602, 145.774011]]
### 4
mean: [-0.299367, 3.714287, -1.056257, 1.245504, 1.548035, -1.511372, -0.726630]
std: [0.416607, 2.993715, 0.567271, 1.233031, 1.162524, 1.054057, 0.767771]
pca: [[-0.086848, 0.091319, -0.475013, 0.028797, 0.283579, 0.109073, 0.815682, 0.000000, 0.000000, 0.000000], [0.850067, -0.311185, -0.030339, 0.163509, 0.150855, -0.347747, 0.095961, 0.000000, 0.000000, 0.000000], [-0.105649, -0.089359, 0.737208, -0.340434, 0.471719, -0.117525, 0.291806, 0.000000, 0.000000, 0.000000], [0.349373, -0.135984, 0.055742, -0.196436, 0.082865, 0.898676, -0.057161, 0.000000, 0.000000, 0.000000], [0.197157, 0.775090, -0.029209, 0.150972, 0.514351, 0.010949, -0.268405, 0.000000, 0.000000, 0.000000], [-0.267144, -0.371516, 0.100232, 0.771726, 0.380241, 0.168027, -0.110389, 0.000000, 0.000000, 0.000000], [-0.162428, -0.359943, -0.464714, -0.446765, 0.508231, -0.131877, -0.390908, 0.000000, 0.000000, 0.000000]]
fourier: [[6.334432, 6.700461, 6.763499, 6.842023, 26.943023], [44.317164, 48.135154, 48.503712, 52.792939, 334.285802], [8.255933, 9.324294, 9.637129, 10.851610, 95.063179], [18.159015, 19.506037, 19.507032, 21.777757, 112.095341], [17.910938, 22.717937, 23.221905, 26.583847, 139.323180], [17.761807, 18.505649, 19.806492, 20.699010, 136.023443], [11.390366, 15.692765, 18.147125, 18.405743, 65.396745]]
### 6
mean: [0.592782, 3.466424, 0.127420, -1.320997, 1.758428, -0.845910, 4.293514]
std: [0.778747, 2.804124, 1.058520, 0.956393, 1.501666, 0.350028, 3.244528]
pca: [[-0.134339, 0.404420, 0.301987, 0.533270, 0.079886, 0.660115, -0.026292, 0.000000, 0.000000, 0.000000], [0.596555, -0.011347, 0.217847, -0.396761, 0.541881, 0.273032, -0.266336, 0.000000, 0.000000, 0.000000], [-0.167917, 0.620129, 0.531163, -0.230031, 0.107198, -0.480234, 0.100399, 0.000000, 0.000000, 0.000000], [-0.159734, -0.523902, 0.413986, 0.462330, 0.411568, -0.331724, -0.188278, 0.000000, 0.000000, 0.000000], [0.306790, -0.325328, 0.598879, -0.081453, -0.530842, 0.132473, 0.367978, 0.000000, 0.000000, 0.000000], [-0.071507, -0.078564, -0.123598, -0.025240, 0.485021, 0.085851, 0.854509, 0.000000, 0.000000, 0.000000], [0.687844, 0.255484, -0.184109, 0.533168, -0.045430, -0.352303, 0.131349, 0.000000, 0.000000, 0.000000]]
fourier: [[9.995151, 10.582067, 10.960172, 13.551630, 53.350343], [43.337714, 48.280225, 48.548295, 48.941651, 311.978178], [13.892918, 14.340363, 15.102040, 15.382286, 18.911730], [16.622389, 17.189456, 19.825767, 21.378696, 118.889698], [22.049898, 22.235916, 23.050365, 24.931174, 158.258533], [6.119827, 6.383907, 6.463709, 6.719668, 76.131879], [54.998548, 56.939556, 57.962900, 58.603298, 386.416250]]
### 8
mean: [4.077184, 2.302168, 4.568102, -0.799046, 1.238012, 1.600981, 3.631978]
std: [3.993052, 2.487056, 4.007301, 0.351928, 0.537451, 1.252409, 3.830555]
pca: [[0.545533, 0.038408, -0.023662, -0.299808, 0.084500, 0.759950, -0.160650, 0.000000, 0.000000, 0.000000], [0.339429, 0.080504, 0.361123, -0.446123, -0.153371, -0.251751, 0.679684, 0.000000, 0.000000, 0.000000], [0.546237, 0.233895, -0.408287, 0.623603, -0.105635, -0.103141, 0.263710, 0.000000, 0.000000, 0.000000], [-0.047700, -0.019186, -0.127593, -0.003561, 0.943824, -0.011649, 0.300208, 0.000000, 0.000000, 0.000000], [-0.042098, 0.371430, 0.767756, 0.464296, 0.121307, 0.199800, -0.024760, 0.000000, 0.000000, 0.000000], [-0.106141, 0.884523, -0.216536, -0.317465, 0.040679, -0.145110, -0.189654, 0.000000, 0.000000, 0.000000], [0.522965, -0.128946, 0.222969, -0.076434, 0.225843, -0.536047, -0.562114, 0.000000, 0.000000, 0.000000]]
fourier: [[59.744970, 68.403842, 68.425796, 68.583555, 366.946521], [37.247110, 42.674767, 42.924978, 43.139857, 207.195102], [63.415137, 69.777942, 69.982846, 70.240075, 411.129163], [5.081170, 5.920047, 5.983626, 6.027431, 71.914096], [8.159990, 8.517288, 9.198039, 9.406805, 111.421071], [17.908611, 18.208885, 18.660249, 22.301335, 144.088278], [54.633065, 63.604559, 64.171394, 64.977062, 326.878066]]
### 10
mean: [-5.687652]
std: [7.992662]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[114.187338, 133.541346, 136.207905, 137.271857, 511.888657]]
## 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": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.146945, 0.555729, 0.427041, -0.212516, 0.219504], [-0.283951, 0.048372, -0.420792, -0.083809, -0.246193], [0.30438, -1.185448, 0.350854, -1.010828, 0.457886], [-0.607074, -0.131113, 0.220866, 0.297963, 0.445589], [0.566707, -0.299273, 0.036263, 0.066025, -0.542052], [0.079432, 0.251123, -0.638379, -0.409357, 0.386099], [-0.129418, 0.575383, -0.690082, 0.207566, -0.208199]], "network.0.bias": [0.153799, -0.258165, -0.317829, -0.404422, 0.142966, 0.212549, 0.183365], "network.2.weight": [[0.057669, 0.191065, 0.680247, 0.011043, -0.094268, -0.279092, -0.913196], [0.360258, -0.337314, -0.381948, 0.70643, 0.659578, 0.28341, -0.084119], [-0.06212, 0.263268, 0.415698, -0.146341, -0.507476, 0.128367, -0.12832], [0.415711, 0.212037, -0.22276, 0.712725, 0.46379, 0.284432, -0.184106], [0.3687, -0.327824, -0.172021, 0.523636, 0.747628, 0.788378, -0.15576], [0.09426, 0.377877, -0.476675, 0.096072, -0.237678, -0.393788, 0.634646], [0.703661, -0.37619, 0.005999, 0.61605, 0.084778, 0.37698, -0.27339]], "network.2.bias": [-0.195917, 0.574203, 0.441974, -0.116658, -0.247364, 0.153621, 0.010164], "network.4.weight": [[0.230308, -0.080579, 0.050233, 0.03837, -0.292024, 0.32943, 0.055371], [-0.467476, 0.894242, -0.727412, 0.782922, 0.691023, -0.394267, 0.550722], [-0.273838, 0.064312, 0.175058, -0.161117, -0.048489, -0.457051, -0.278843], [-0.172988, 0.124485, -0.590858, 0.518328, 0.23687, -0.267869, 0.244774], [0.595539, 0.103404, 0.423694, 0.121878, -0.070116, -0.487432, 0.629093], [0.086298, -0.347456, -0.097624, 0.111507, 0.266581, 0.500503, -0.85713], [-0.261317, -0.055409, -0.119382, 0.127073, -0.492601, 0.501514, -0.22507]], "network.4.bias": [-0.211612, -0.044406, -0.215398, 0.066204, 0.319821, -0.157182, -0.08474], "network.6.weight": [[0.091481, -0.259077, -0.175454, -0.138511, 0.523088, 0.909332, 0.223428], [0.262951, 0.953919, 0.048131, 0.140197, -0.121091, -0.479708, 0.182139], [0.389662, -0.389698, 0.036696, -0.035748, 0.767908, 0.191406, 0.797728], [-0.101203, -0.006544, -0.014859, -0.31425, -0.545835, 0.734524, 0.383021], [0.307318, 0.477029, -0.10823, 0.365437, -0.442313, 0.435842, 0.42013], [-0.082455, -0.011986, 0.117459, -0.243643, -0.072564, -0.090133, -0.102392], [-0.220167, 0.911465, 0.218708, 0.39691, 0.201491, -0.526968, -0.15165]], "network.6.bias": [0.889875, -0.158229, 0.35776, -0.059252, 0.110089, -0.351514, 0.037531], "network.8.weight": [[-0.588665, 0.650242, -0.148289, -0.040778, 0.068092, -0.172906, 0.530883], [-0.248053, 0.188238, -0.091648, 0.05544, 0.370094, -0.259052, 0.400614], [-0.203975, 0.576996, -0.137791, 0.044658, -0.029581, 0.057608, 0.706738], [-0.256947, 0.17807, 0.18936, 0.287812, -0.337195, 0.265077, -0.132035], [0.68316, -0.349024, 0.112368, 0.736014, 0.528608, -0.085081, 0.128498], [0.599446, -0.564012, 0.9948, 0.503909, 0.275899, 0.22579, 0.394717], [-0.6014, 0.572214, -0.37312, 0.054474, 0.136977, -0.305658, 0.481329]], "network.8.bias": [-0.151904, -0.553871, -0.241224, -0.160958, 0.423443, 0.537225, -0.136183], "network.10.weight": [[-0.408446, -0.530566, -0.831298, 0.161755, 0.570005, 0.822879, -0.354013]], "network.10.bias": [0.595196]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7021531164646149, "train_acc": 0.39, "val_loss": 0.6856555342674255, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6732394695281982, "train_acc": 0.585, "val_loss": 0.6713177561759949, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6481586694717407, "train_acc": 0.585, "val_loss": 0.6362146139144897, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6150722801685333, "train_acc": 0.505, "val_loss": 0.5332927107810974, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5288517475128174, "train_acc": 0.67, "val_loss": 0.3962043821811676, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.40570320188999176, "train_acc": 0.895, "val_loss": 0.3256160020828247, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.33048802614212036, "train_acc": 0.93, "val_loss": 0.2643739581108093, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.2217351794242859, "train_acc": 0.95, "val_loss": 0.18244196474552155, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.1371171623468399, "train_acc": 0.955, "val_loss": 0.14271560311317444, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.11673219501972198, "train_acc": 0.96, "val_loss": 0.15158182382583618, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.0919659473001957, "train_acc": 0.97, "val_loss": 0.17168384790420532, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.041268267668783665, "train_acc": 0.985, "val_loss": 0.16246171295642853, "val_acc": 0.98}], "summary": {"total_epochs": 12, "degraded_epochs": 3, "improved_epochs": 9, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6856555342674255, "final_val_loss": 0.6362146139144897, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5332927107810974, "final_val_loss": 0.16246171295642853, "initial_val_acc": 0.52, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 11}, "improvement": 0.5, "first_improvement_epoch": 2}}
|
9,666
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.46, "improved_accuracy": 0.74, "improvement": 0.27999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3868, "learning_rate": 0.08620345491395164, "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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [1.173844, -3.789821, -0.524373, 1.784683, 5.336874]
std: [2.184409, 2.326324, 2.365319, 1.658570, 3.310746]
pca: [[0.202589, -0.638009, 0.532565, 0.517888, 0.008294, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.522600, -0.057341, -0.289170, 0.420255, 0.680711, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.196771, 0.701567, 0.604680, 0.319972, -0.032640, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.284506, 0.199810, -0.516751, 0.672655, -0.399546, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.752452, 0.239867, 0.009290, -0.018216, 0.613075, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.825868, 33.180887, 33.204500, 42.601640, 105.645986], [33.999631, 34.569729, 44.875040, 45.124554, 341.083844], [36.215230, 40.204670, 40.275736, 47.193579, 52.271272], [25.572269, 28.394593, 28.946078, 35.043337, 160.621496], [52.404842, 53.496742, 54.603052, 61.929752, 480.318590]]
### 2
mean: [4.270303, 1.598983, 1.533614, 4.648708, -0.398043]
std: [2.179626, 1.731445, 0.960338, 2.515303, 2.208373]
pca: [[0.401156, 0.652270, 0.217881, -0.600112, 0.077535, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.451868, -0.231356, -0.058246, 0.139046, 0.848271, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.039715, 0.295995, 0.730135, 0.614518, 0.008977, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.682914, 0.137859, -0.423158, 0.398378, -0.420541, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.408582, 0.643739, -0.486802, 0.290163, 0.312233, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.899111, 34.595802, 36.799709, 43.017454, 384.327308], [29.148069, 29.149937, 31.175495, 35.281742, 143.908440], [14.702992, 15.673414, 17.336079, 17.552367, 138.025299], [36.768476, 43.320740, 43.947637, 49.130034, 418.383745], [35.823901, 36.451023, 37.437191, 38.155501, 41.132434]]
### 4
mean: [2.179790, -11.571466, -8.946367, -3.283395, 1.921152]
std: [3.254312, 5.848036, 4.377067, 1.557479, 1.643972]
pca: [[-0.279044, 0.797501, -0.122419, -0.479113, -0.203938, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.757105, 0.064196, 0.480055, -0.337779, -0.279507, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.552107, 0.321564, -0.511656, 0.103954, 0.564957, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.136396, 0.373719, -0.022591, 0.764250, -0.507092, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.159692, 0.341762, 0.701612, 0.247935, 0.551331, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.510976, 51.706226, 58.251620, 64.108631, 196.181116], [87.897645, 88.492829, 105.565097, 118.248142, 1041.432018], [61.630647, 63.939320, 82.728667, 91.057209, 805.173081], [25.170953, 25.748641, 27.770005, 28.391100, 295.505577], [26.459388, 26.654559, 30.023333, 31.541075, 172.903686]]
### 6
mean: [2.343723, -2.787573, -3.295845, 1.505779, 2.123902]
std: [2.701303, 1.861822, 4.461082, 1.913193, 2.121645]
pca: [[-0.433651, 0.293790, 0.474605, 0.580178, -0.404695, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.298433, 0.531982, 0.518286, -0.578867, -0.155647, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.716319, 0.169790, 0.147680, 0.566041, 0.340364, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.306204, 0.744025, -0.430109, 0.031020, 0.408301, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.340604, -0.219729, 0.547108, -0.083325, 0.727625, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.783603, 47.357176, 50.084568, 51.599807, 210.935052], [30.505480, 32.159975, 34.606163, 35.757673, 250.881573], [72.611568, 77.790584, 82.863150, 85.479837, 296.626011], [30.806491, 33.870471, 35.296555, 36.278204, 135.520134], [34.531165, 36.879792, 39.410174, 40.702244, 191.151202]]
### 8
mean: [-1.427944, -1.100077, 1.208611, 1.462727, -0.390737]
std: [2.586516, 0.651206, 2.098059, 2.266260, 1.629149]
pca: [[0.593246, 0.082309, 0.007781, 0.588039, 0.543538, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.114365, 0.763439, 0.340944, -0.468461, 0.261500, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.480668, -0.183038, 0.774738, 0.280781, 0.237484, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.519846, -0.000678, -0.495593, -0.104722, 0.687881, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.365647, -0.613907, 0.194590, -0.587324, 0.326504, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.531302, 43.563266, 47.881464, 50.358865, 128.514993], [8.963417, 10.072374, 11.925495, 12.157265, 99.006929], [33.489433, 36.013469, 39.516692, 40.135823, 108.775016], [35.024995, 37.846329, 41.522458, 44.327172, 131.645440], [24.186065, 24.512135, 27.006549, 33.590120, 35.166314]]
### 10
mean: [-0.011972]
std: [1.310729]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.732378, 19.395276, 19.490572, 21.728761, 26.923623]]
## 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.556609,
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[
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}
## Activation Signature
### 0
mean: [1.173844, -3.789821, -0.524373, 1.784683, 5.336874]
std: [2.184409, 2.326324, 2.365319, 1.658570, 3.310746]
pca: [[0.202589, -0.638009, 0.532565, 0.517888, 0.008294, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.522600, -0.057341, -0.289170, 0.420255, 0.680711, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.196771, 0.701567, 0.604680, 0.319972, -0.032640, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.284506, 0.199810, -0.516751, 0.672655, -0.399546, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.752452, 0.239867, 0.009290, -0.018216, 0.613075, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.825868, 33.180887, 33.204500, 42.601640, 105.645986], [33.999631, 34.569729, 44.875040, 45.124554, 341.083844], [36.215230, 40.204670, 40.275736, 47.193579, 52.271272], [25.572269, 28.394593, 28.946078, 35.043337, 160.621496], [52.404842, 53.496742, 54.603052, 61.929752, 480.318590]]
### 2
mean: [4.270303, 1.598983, 1.533614, 4.648708, -0.398043]
std: [2.179626, 1.731445, 0.960338, 2.515303, 2.208373]
pca: [[0.401156, 0.652270, 0.217881, -0.600112, 0.077535, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.451868, -0.231356, -0.058246, 0.139046, 0.848271, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.039715, 0.295995, 0.730135, 0.614518, 0.008977, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.682914, 0.137859, -0.423158, 0.398378, -0.420541, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.408582, 0.643739, -0.486802, 0.290163, 0.312233, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.899111, 34.595802, 36.799709, 43.017454, 384.327308], [29.148069, 29.149937, 31.175495, 35.281742, 143.908440], [14.702992, 15.673414, 17.336079, 17.552367, 138.025299], [36.768476, 43.320740, 43.947637, 49.130034, 418.383745], [35.823901, 36.451023, 37.437191, 38.155501, 41.132434]]
### 4
mean: [2.179790, -11.571466, -8.946367, -3.283395, 1.921152]
std: [3.254312, 5.848036, 4.377067, 1.557479, 1.643972]
pca: [[-0.279044, 0.797501, -0.122419, -0.479113, -0.203938, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.757105, 0.064196, 0.480055, -0.337779, -0.279507, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.552107, 0.321564, -0.511656, 0.103954, 0.564957, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.136396, 0.373719, -0.022591, 0.764250, -0.507092, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.159692, 0.341762, 0.701612, 0.247935, 0.551331, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.510976, 51.706226, 58.251620, 64.108631, 196.181116], [87.897645, 88.492829, 105.565097, 118.248142, 1041.432018], [61.630647, 63.939320, 82.728667, 91.057209, 805.173081], [25.170953, 25.748641, 27.770005, 28.391100, 295.505577], [26.459388, 26.654559, 30.023333, 31.541075, 172.903686]]
### 6
mean: [2.343723, -2.787573, -3.295845, 1.505779, 2.123902]
std: [2.701303, 1.861822, 4.461082, 1.913193, 2.121645]
pca: [[-0.433651, 0.293790, 0.474605, 0.580178, -0.404695, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.298433, 0.531982, 0.518286, -0.578867, -0.155647, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.716319, 0.169790, 0.147680, 0.566041, 0.340364, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.306204, 0.744025, -0.430109, 0.031020, 0.408301, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.340604, -0.219729, 0.547108, -0.083325, 0.727625, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.783603, 47.357176, 50.084568, 51.599807, 210.935052], [30.505480, 32.159975, 34.606163, 35.757673, 250.881573], [72.611568, 77.790584, 82.863150, 85.479837, 296.626011], [30.806491, 33.870471, 35.296555, 36.278204, 135.520134], [34.531165, 36.879792, 39.410174, 40.702244, 191.151202]]
### 8
mean: [-1.427944, -1.100077, 1.208611, 1.462727, -0.390737]
std: [2.586516, 0.651206, 2.098059, 2.266260, 1.629149]
pca: [[0.593246, 0.082309, 0.007781, 0.588039, 0.543538, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.114365, 0.763439, 0.340944, -0.468461, 0.261500, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.480668, -0.183038, 0.774738, 0.280781, 0.237484, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.519846, -0.000678, -0.495593, -0.104722, 0.687881, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.365647, -0.613907, 0.194590, -0.587324, 0.326504, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.531302, 43.563266, 47.881464, 50.358865, 128.514993], [8.963417, 10.072374, 11.925495, 12.157265, 99.006929], [33.489433, 36.013469, 39.516692, 40.135823, 108.775016], [35.024995, 37.846329, 41.522458, 44.327172, 131.645440], [24.186065, 24.512135, 27.006549, 33.590120, 35.166314]]
### 10
mean: [-0.011972]
std: [1.310729]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.732378, 19.395276, 19.490572, 21.728761, 26.923623]]
## 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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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": [[0.227037, 0.524822, 0.11136, -0.829521, 0.657446], [-0.221369, -0.212428, -0.853786, -0.246527, -0.340186], [0.284298, -1.37483, 0.38611, 0.556609, -0.666896], [0.14945, 0.386801, 0.182935, 0.541311, -0.172171], [0.304221, 0.451246, 1.149134, 0.620711, 0.145565]], "network.0.bias": [0.670359, -0.395559, 0.449428, -0.436736, 0.224993], "network.2.weight": [[1.007908, 0.766448, 1.104665, 0.159308, 0.222138], [-0.27049, -1.180894, -0.612102, 0.458201, 0.351364], [0.689791, 0.37547, 0.971931, 0.508972, -0.283304], [0.264451, 0.620761, -0.353167, 0.341633, 0.556336], [0.830129, -1.218594, 0.928077, -0.856019, -0.185051]], "network.2.bias": [0.637999, -0.346486, 0.52387, 0.904313, 0.244815], "network.4.weight": [[-0.218517, 0.614771, -0.695442, 0.810735, -0.799185], [-1.187499, -0.004838, 0.017963, -1.416749, 0.305322], [-1.304511, -0.166761, 0.218015, -0.662955, -0.469096], [-0.437697, 0.526248, -0.16636, -0.330491, -0.250767], [-0.073326, 0.619864, -0.33332, 0.29743, 0.157205]], "network.4.bias": [-0.106306, -0.188069, -0.092648, -0.335156, 0.252635], "network.6.weight": [[0.724514, 0.46935, -0.115106, 0.112394, 0.392297], [-0.272143, -0.321064, -0.80975, -0.07285, -0.658572], [-0.995593, -0.626832, 0.223296, -0.310961, -0.994127], [0.6831, 0.374256, -0.196582, 0.47503, -0.018282], [0.427286, 0.160962, -0.267844, -0.051453, 0.552532]], "network.6.bias": [-0.232722, -0.868192, 1.089524, -0.18822, 0.000828], "network.8.weight": [[-0.455902, -0.10948, 1.03054, -0.036982, -0.475496], [0.123874, -0.046047, -0.770249, -0.632331, 0.049554], [-0.291884, 0.788704, -0.533982, 0.358099, 0.945456], [0.270534, -0.306649, -1.105358, 0.279336, 0.347634], [-0.051258, -0.471073, 1.540695, -0.02462, -0.439839]], "network.8.bias": [0.432619, -0.3407, -0.437039, -0.074426, 0.27556], "network.10.weight": [[0.453447, -0.181911, -0.068493, -0.376626, 0.383432]], "network.10.bias": [0.377256]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7021909058094025, "train_acc": 0.58, "val_loss": 0.7169104218482971, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6818545162677765, "train_acc": 0.58, "val_loss": 0.7097134590148926, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6809213757514954, "train_acc": 0.58, "val_loss": 0.7039679884910583, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6598532795906067, "train_acc": 0.58, "val_loss": 0.6903446316719055, "val_acc": 0.46}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6383723020553589, "train_acc": 0.58, "val_loss": 0.6789562702178955, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6753848791122437, "train_acc": 0.56, "val_loss": 0.6700840592384338, "val_acc": 0.62}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6721950471401215, "train_acc": 0.61, "val_loss": 0.6763185858726501, "val_acc": 0.54}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6730498373508453, "train_acc": 0.545, "val_loss": 0.6256343126296997, "val_acc": 0.64}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5937261879444122, "train_acc": 0.695, "val_loss": 0.6530993580818176, "val_acc": 0.66}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5901094675064087, "train_acc": 0.71, "val_loss": 0.5684090256690979, "val_acc": 0.72}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.5149051696062088, "train_acc": 0.755, "val_loss": 0.6103454828262329, "val_acc": 0.7}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.5522191822528839, "train_acc": 0.735, "val_loss": 0.6050483584403992, "val_acc": 0.68}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.47773881256580353, "train_acc": 0.76, "val_loss": 0.589150071144104, "val_acc": 0.74}], "summary": {"total_epochs": 13, "degraded_epochs": 5, "improved_epochs": 8, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.7169104218482971, "final_val_loss": 0.6789562702178955, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.6700840592384338, "final_val_loss": 0.589150071144104, "initial_val_acc": 0.62, "final_val_acc": 0.74, "best_val_acc": 0.74, "best_epoch": 12}, "improvement": 0.27999999999999997, "first_improvement_epoch": 4}}
|
9,667
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.5, "improved_accuracy": 0.78, "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": 8458, "learning_rate": 0.0941212655043662, "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: 6
Neurons per Layer: 8
Activation Function: gelu
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: [-3.351869, -0.864639, -2.406107, -1.186318, 3.765810, -3.152740, -2.906873, -0.416194]
std: [3.220182, 1.579966, 1.821757, 2.868153, 2.747488, 1.668362, 2.216746, 1.337515]
pca: [[0.631373, 0.049315, -0.110013, -0.010259, -0.114609, -0.418855, -0.313706, -0.547488, 0.000000, 0.000000], [0.061103, -0.209990, 0.492841, 0.598223, -0.575148, 0.096345, -0.097089, 0.043632, 0.000000, 0.000000], [0.297083, -0.116717, 0.427287, -0.311020, 0.252101, 0.024072, -0.553675, 0.498117, 0.000000, 0.000000], [0.466808, 0.475210, -0.355977, 0.280330, -0.118367, 0.028416, 0.165378, 0.555692, 0.000000, 0.000000], [-0.167383, 0.823881, 0.493962, -0.034362, 0.056561, -0.005425, -0.026392, -0.209999, 0.000000, 0.000000], [0.265395, -0.174516, 0.423447, -0.067162, 0.202873, -0.423985, 0.697491, 0.088754, 0.000000, 0.000000], [0.426459, -0.035034, 0.109277, -0.284987, -0.077938, 0.768737, 0.256547, -0.246778, 0.000000, 0.000000], [0.105586, -0.059689, 0.021556, 0.616276, 0.726686, 0.207708, -0.072453, -0.169006, 0.000000, 0.000000]]
fourier: [[55.080233, 55.278101, 62.046024, 66.214456, 301.668226], [21.998033, 28.172443, 30.944576, 32.744443, 77.817464], [28.930935, 36.914486, 36.967233, 39.045332, 216.549600], [47.667269, 52.590252, 54.617004, 60.920053, 106.768646], [43.119382, 45.554986, 46.770951, 50.426241, 338.922831], [23.896069, 32.532746, 34.339388, 35.125161, 283.746552], [37.949458, 38.096090, 45.455896, 46.240957, 261.618608], [19.390648, 19.887225, 23.357467, 23.608814, 37.457485]]
### 2
mean: [0.474547, -2.552504, -1.009069, -0.078471, -3.813177, -2.891078, 2.398707, 1.635898]
std: [0.732881, 2.010628, 1.401808, 0.528691, 2.457518, 2.126707, 1.941210, 1.747212]
pca: [[-0.139629, -0.130161, 0.044052, 0.824349, 0.144501, 0.000370, 0.497415, -0.117333, 0.000000, 0.000000], [0.419827, -0.324777, 0.047176, 0.130427, 0.555645, -0.403483, -0.407175, -0.248389, 0.000000, 0.000000], [0.202467, 0.726459, 0.512924, 0.164248, -0.133492, -0.160530, -0.101496, -0.295473, 0.000000, 0.000000], [0.016599, -0.263506, 0.567404, 0.145470, -0.203054, -0.227013, -0.133629, 0.690332, 0.000000, 0.000000], [0.524663, 0.062726, -0.141315, 0.324940, -0.056283, 0.678499, -0.297394, 0.208005, 0.000000, 0.000000], [0.449813, 0.230155, 0.003574, -0.273622, 0.423345, -0.048209, 0.600842, 0.356733, 0.000000, 0.000000], [-0.409529, -0.002903, 0.474106, -0.140911, 0.572358, 0.498617, -0.099845, -0.038255, 0.000000, 0.000000], [-0.343020, 0.472743, -0.407475, 0.234493, 0.318348, -0.220439, -0.314968, 0.434379, 0.000000, 0.000000]]
fourier: [[11.130002, 11.190013, 11.493788, 13.381955, 42.709240], [29.382711, 36.062397, 36.774085, 40.804212, 229.725386], [21.063034, 21.628986, 22.988386, 25.711368, 90.816234], [7.611202, 7.638213, 8.163396, 8.383784, 11.093839], [39.875713, 41.479381, 43.560864, 48.091911, 343.185968], [33.162637, 35.081056, 37.438688, 39.560679, 260.197001], [31.300786, 33.096395, 35.131377, 36.405159, 215.883654], [27.197642, 30.660468, 32.318763, 35.588683, 147.230766]]
### 4
mean: [2.798671, 0.746667, -1.942259, -0.180294, 2.712216, -1.406720, -0.429844, -1.043869]
std: [2.298789, 0.738099, 1.242756, 0.873898, 2.727189, 0.998133, 0.879118, 0.871462]
pca: [[0.559745, 0.120766, 0.182674, 0.113627, 0.653555, 0.332948, -0.178391, -0.236660, 0.000000, 0.000000], [0.154454, 0.308962, -0.590853, -0.415545, 0.294791, -0.211954, 0.475890, 0.024567, 0.000000, 0.000000], [-0.301769, 0.101911, 0.069149, -0.290133, -0.174559, 0.576631, 0.261001, -0.615219, 0.000000, 0.000000], [-0.136578, 0.588618, 0.625302, 0.046441, 0.073488, -0.404958, 0.257253, -0.078394, 0.000000, 0.000000], [0.665226, -0.045168, 0.139482, 0.123223, -0.524753, 0.125766, 0.470612, 0.090208, 0.000000, 0.000000], [-0.240709, -0.097238, -0.226459, 0.789577, 0.205635, 0.025867, 0.441057, -0.142838, 0.000000, 0.000000], [-0.175816, 0.455752, -0.029049, 0.084431, 0.010166, 0.569522, 0.012387, 0.654823, 0.000000, 0.000000], [-0.147425, -0.560264, 0.387499, -0.286936, 0.363782, 0.082975, 0.437315, 0.318457, 0.000000, 0.000000]]
fourier: [[34.711026, 40.061505, 41.592503, 48.377780, 251.880420], [11.472673, 11.498378, 13.384417, 13.635282, 67.200017], [18.448483, 21.524481, 21.973783, 26.513582, 174.803318], [13.821422, 14.053529, 14.643856, 16.131436, 16.226504], [40.390659, 48.503265, 49.149089, 57.716421, 244.099431], [16.074753, 17.400258, 18.255370, 20.239023, 126.604827], [12.680270, 12.684512, 13.766495, 17.355560, 38.685931], [12.853875, 13.104634, 13.394294, 15.303283, 93.948231]]
### 6
mean: [-2.156281, -2.461165, 1.467947, -3.487775, -1.863913, 2.491902, 2.299267, 2.517334]
std: [1.534604, 1.921521, 0.728407, 3.818732, 1.175460, 2.429781, 2.843354, 2.978313]
pca: [[0.226506, -0.275995, 0.460753, -0.223813, 0.225571, -0.091838, 0.705008, 0.231913, 0.000000, 0.000000], [0.286722, -0.175043, -0.295282, -0.287435, 0.566620, 0.496955, -0.049403, -0.383245, 0.000000, 0.000000], [-0.074317, 0.593985, -0.347548, -0.146477, 0.501984, -0.409520, 0.143002, 0.243454, 0.000000, 0.000000], [0.571789, 0.064634, -0.156374, 0.774437, 0.081355, 0.067427, 0.130011, 0.128867, 0.000000, 0.000000], [0.172897, -0.232621, 0.423463, 0.074540, 0.426816, -0.451815, -0.586637, -0.025785, 0.000000, 0.000000], [-0.358788, 0.444508, 0.530029, 0.317313, 0.265779, 0.310969, 0.109541, -0.335748, 0.000000, 0.000000], [-0.421803, -0.439891, -0.297921, 0.324017, 0.158034, -0.376819, 0.299967, -0.421766, 0.000000, 0.000000], [-0.444387, -0.301641, -0.079151, 0.186683, 0.302766, 0.359886, -0.130566, 0.657408, 0.000000, 0.000000]]
fourier: [[23.381494, 26.668266, 26.746057, 30.549619, 194.065330], [28.671786, 33.519790, 35.270363, 40.087394, 221.504854], [11.339170, 11.659232, 11.810141, 12.338291, 132.115266], [56.060677, 66.328132, 73.037892, 84.441279, 313.899796], [18.036475, 20.492276, 20.502631, 23.488329, 167.752147], [37.466201, 41.686976, 43.808436, 49.458952, 224.271143], [42.497656, 49.720894, 54.038847, 63.350453, 206.934063], [44.384197, 51.874618, 56.791819, 66.077913, 226.560054]]
### 8
mean: [-2.730477, -1.498804, -7.499186, 2.094151, -1.414739, -3.622597, 4.709002, -2.170710]
std: [1.851517, 0.653903, 6.679336, 2.555664, 2.332454, 2.464501, 5.016579, 1.467844]
pca: [[0.189081, -0.104458, 0.644539, 0.509931, -0.135415, -0.389288, -0.320511, -0.072572, 0.000000, 0.000000], [0.065039, 0.084742, 0.380329, 0.136877, 0.642993, 0.441141, 0.082016, 0.458728, 0.000000, 0.000000], [0.691105, 0.501767, 0.057037, -0.105217, 0.001823, 0.244533, -0.005941, -0.443222, 0.000000, 0.000000], [-0.263262, 0.032672, 0.577695, -0.386149, -0.526195, 0.392469, 0.125868, 0.005182, 0.000000, 0.000000], [0.240472, -0.250904, -0.299412, 0.460272, -0.436700, 0.544038, -0.177676, 0.243862, 0.000000, 0.000000], [0.253979, 0.379443, -0.059555, -0.279206, -0.243897, -0.317116, -0.210606, 0.711064, 0.000000, 0.000000], [-0.517394, 0.718439, -0.093702, 0.424798, -0.076333, 0.080911, -0.104261, -0.060600, 0.000000, 0.000000], [0.151846, 0.077372, 0.030985, 0.301320, -0.187931, -0.192183, 0.887623, 0.138117, 0.000000, 0.000000]]
fourier: [[29.165863, 30.509953, 33.522307, 38.315786, 245.742878], [10.407976, 10.653603, 11.087293, 12.567541, 134.892365], [105.000218, 114.575531, 118.068511, 136.246466, 674.926743], [37.704212, 44.927653, 45.973598, 53.099965, 188.473553], [34.269349, 40.862518, 42.908166, 49.473519, 127.326505], [39.343535, 42.205638, 42.596352, 49.221784, 326.033740], [75.542787, 85.791572, 93.136195, 107.959063, 423.810140], [22.838956, 25.291443, 26.130255, 29.978062, 195.363899]]
### 10
mean: [-2.660677, -4.186387, 1.006883, -1.618856, 0.682434, 3.160141, -3.266162, -5.001036]
std: [3.768649, 3.553679, 1.309929, 1.627465, 1.477989, 4.279621, 2.632443, 4.168925]
pca: [[-0.432313, -0.407634, 0.669464, -0.119583, 0.258338, -0.017418, -0.136689, -0.314217, 0.000000, 0.000000], [-0.406381, 0.665877, -0.006200, -0.371706, 0.079255, -0.422561, 0.196041, -0.173168, 0.000000, 0.000000], [0.150132, -0.169242, -0.235346, 0.294603, 0.538550, -0.131305, 0.580475, -0.403002, 0.000000, 0.000000], [-0.185958, -0.307882, -0.463726, -0.031904, 0.319937, -0.519145, -0.497486, 0.187632, 0.000000, 0.000000], [0.168394, 0.342350, 0.365740, 0.714107, 0.017466, -0.370989, -0.269299, -0.016274, 0.000000, 0.000000], [0.491552, 0.289566, 0.139153, -0.338395, 0.613814, 0.240903, -0.325291, 0.006115, 0.000000, 0.000000], [-0.302532, 0.058516, 0.158139, 0.157723, 0.368420, 0.135376, 0.308587, 0.778383, 0.000000, 0.000000], [-0.478888, 0.250066, -0.321267, 0.332248, 0.147576, 0.566032, -0.291340, -0.259774, 0.000000, 0.000000]]
fourier: [[55.619442, 64.495111, 70.543865, 82.173024, 239.460961], [56.768796, 58.183528, 64.732777, 77.162878, 376.774839], [20.458751, 21.457545, 24.241917, 28.852015, 90.619442], [23.898946, 28.257657, 29.950211, 34.350986, 145.697055], [21.522539, 25.619076, 27.189207, 31.068988, 61.419094], [63.981242, 72.877058, 79.580491, 92.807449, 284.412674], [40.437720, 44.445624, 48.703139, 57.356218, 293.954622], [64.540868, 70.062177, 76.585240, 90.399076, 450.093300]]
### 12
mean: [0.389250]
std: [1.198698]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.860622, 20.293388, 22.764459, 26.131259, 35.032461]]
## 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: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.011843,
-0.275112
]
],
"network.8.bias": [
-0.921003,
-0.881726,
0.569367,
-0.557061,
0.863175,
-0.304862,
0.011556,
-0.453857
],
"network.10.weight": [
[
0.316877,
0.382103,
0.363026,
0.501958,
0.461113,
-0.300252,
-0.96575,
-1.045101
],
[
-0.287124,
-0.199322,
0.394814,
-0.230314,
-0.916948,
0.793004,
-0.66388,
0.261789
],
[
0.134136,
-0.482329,
-0.704875,
-0.082608,
0.312429,
0.40107,
0.318145,
0.500581
],
[
-0.220114,
-0.234889,
-0.655327,
-0.326706,
0.410648,
0.447404,
-0.141663,
-0.096472
],
[
0.740013,
0.35307,
0.750884,
0.230546,
-0.336516,
0.539728,
0.144024,
0.024951
],
[
-0.188748,
-0.426723,
-0.929555,
0.182893,
-0.331305,
0.195406,
0.75971,
0.597238
],
[
0.425459,
0.047965,
0.160114,
0.072238,
-0.07736,
0.235439,
-0.579114,
0.011753
],
[
1.207409,
0.280219,
0.341558,
-0.333248,
-0.359321,
0.206784,
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-0.335519
]
],
"network.10.bias": [
0.669332,
-0.228383,
-0.410936,
-0.362062,
-0.294287,
-0.812935,
-0.59587,
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],
"network.12.weight": [
[
0.366668,
-0.946889,
0.025928,
0.122894,
-0.162051,
-0.183672,
-0.85913,
-0.820336
]
],
"network.12.bias": [
0.841394
]
}
## Activation Signature
### 0
mean: [-3.351869, -0.864639, -2.406107, -1.186318, 3.765810, -3.152740, -2.906873, -0.416194]
std: [3.220182, 1.579966, 1.821757, 2.868153, 2.747488, 1.668362, 2.216746, 1.337515]
pca: [[0.631373, 0.049315, -0.110013, -0.010259, -0.114609, -0.418855, -0.313706, -0.547488, 0.000000, 0.000000], [0.061103, -0.209990, 0.492841, 0.598223, -0.575148, 0.096345, -0.097089, 0.043632, 0.000000, 0.000000], [0.297083, -0.116717, 0.427287, -0.311020, 0.252101, 0.024072, -0.553675, 0.498117, 0.000000, 0.000000], [0.466808, 0.475210, -0.355977, 0.280330, -0.118367, 0.028416, 0.165378, 0.555692, 0.000000, 0.000000], [-0.167383, 0.823881, 0.493962, -0.034362, 0.056561, -0.005425, -0.026392, -0.209999, 0.000000, 0.000000], [0.265395, -0.174516, 0.423447, -0.067162, 0.202873, -0.423985, 0.697491, 0.088754, 0.000000, 0.000000], [0.426459, -0.035034, 0.109277, -0.284987, -0.077938, 0.768737, 0.256547, -0.246778, 0.000000, 0.000000], [0.105586, -0.059689, 0.021556, 0.616276, 0.726686, 0.207708, -0.072453, -0.169006, 0.000000, 0.000000]]
fourier: [[55.080233, 55.278101, 62.046024, 66.214456, 301.668226], [21.998033, 28.172443, 30.944576, 32.744443, 77.817464], [28.930935, 36.914486, 36.967233, 39.045332, 216.549600], [47.667269, 52.590252, 54.617004, 60.920053, 106.768646], [43.119382, 45.554986, 46.770951, 50.426241, 338.922831], [23.896069, 32.532746, 34.339388, 35.125161, 283.746552], [37.949458, 38.096090, 45.455896, 46.240957, 261.618608], [19.390648, 19.887225, 23.357467, 23.608814, 37.457485]]
### 2
mean: [0.474547, -2.552504, -1.009069, -0.078471, -3.813177, -2.891078, 2.398707, 1.635898]
std: [0.732881, 2.010628, 1.401808, 0.528691, 2.457518, 2.126707, 1.941210, 1.747212]
pca: [[-0.139629, -0.130161, 0.044052, 0.824349, 0.144501, 0.000370, 0.497415, -0.117333, 0.000000, 0.000000], [0.419827, -0.324777, 0.047176, 0.130427, 0.555645, -0.403483, -0.407175, -0.248389, 0.000000, 0.000000], [0.202467, 0.726459, 0.512924, 0.164248, -0.133492, -0.160530, -0.101496, -0.295473, 0.000000, 0.000000], [0.016599, -0.263506, 0.567404, 0.145470, -0.203054, -0.227013, -0.133629, 0.690332, 0.000000, 0.000000], [0.524663, 0.062726, -0.141315, 0.324940, -0.056283, 0.678499, -0.297394, 0.208005, 0.000000, 0.000000], [0.449813, 0.230155, 0.003574, -0.273622, 0.423345, -0.048209, 0.600842, 0.356733, 0.000000, 0.000000], [-0.409529, -0.002903, 0.474106, -0.140911, 0.572358, 0.498617, -0.099845, -0.038255, 0.000000, 0.000000], [-0.343020, 0.472743, -0.407475, 0.234493, 0.318348, -0.220439, -0.314968, 0.434379, 0.000000, 0.000000]]
fourier: [[11.130002, 11.190013, 11.493788, 13.381955, 42.709240], [29.382711, 36.062397, 36.774085, 40.804212, 229.725386], [21.063034, 21.628986, 22.988386, 25.711368, 90.816234], [7.611202, 7.638213, 8.163396, 8.383784, 11.093839], [39.875713, 41.479381, 43.560864, 48.091911, 343.185968], [33.162637, 35.081056, 37.438688, 39.560679, 260.197001], [31.300786, 33.096395, 35.131377, 36.405159, 215.883654], [27.197642, 30.660468, 32.318763, 35.588683, 147.230766]]
### 4
mean: [2.798671, 0.746667, -1.942259, -0.180294, 2.712216, -1.406720, -0.429844, -1.043869]
std: [2.298789, 0.738099, 1.242756, 0.873898, 2.727189, 0.998133, 0.879118, 0.871462]
pca: [[0.559745, 0.120766, 0.182674, 0.113627, 0.653555, 0.332948, -0.178391, -0.236660, 0.000000, 0.000000], [0.154454, 0.308962, -0.590853, -0.415545, 0.294791, -0.211954, 0.475890, 0.024567, 0.000000, 0.000000], [-0.301769, 0.101911, 0.069149, -0.290133, -0.174559, 0.576631, 0.261001, -0.615219, 0.000000, 0.000000], [-0.136578, 0.588618, 0.625302, 0.046441, 0.073488, -0.404958, 0.257253, -0.078394, 0.000000, 0.000000], [0.665226, -0.045168, 0.139482, 0.123223, -0.524753, 0.125766, 0.470612, 0.090208, 0.000000, 0.000000], [-0.240709, -0.097238, -0.226459, 0.789577, 0.205635, 0.025867, 0.441057, -0.142838, 0.000000, 0.000000], [-0.175816, 0.455752, -0.029049, 0.084431, 0.010166, 0.569522, 0.012387, 0.654823, 0.000000, 0.000000], [-0.147425, -0.560264, 0.387499, -0.286936, 0.363782, 0.082975, 0.437315, 0.318457, 0.000000, 0.000000]]
fourier: [[34.711026, 40.061505, 41.592503, 48.377780, 251.880420], [11.472673, 11.498378, 13.384417, 13.635282, 67.200017], [18.448483, 21.524481, 21.973783, 26.513582, 174.803318], [13.821422, 14.053529, 14.643856, 16.131436, 16.226504], [40.390659, 48.503265, 49.149089, 57.716421, 244.099431], [16.074753, 17.400258, 18.255370, 20.239023, 126.604827], [12.680270, 12.684512, 13.766495, 17.355560, 38.685931], [12.853875, 13.104634, 13.394294, 15.303283, 93.948231]]
### 6
mean: [-2.156281, -2.461165, 1.467947, -3.487775, -1.863913, 2.491902, 2.299267, 2.517334]
std: [1.534604, 1.921521, 0.728407, 3.818732, 1.175460, 2.429781, 2.843354, 2.978313]
pca: [[0.226506, -0.275995, 0.460753, -0.223813, 0.225571, -0.091838, 0.705008, 0.231913, 0.000000, 0.000000], [0.286722, -0.175043, -0.295282, -0.287435, 0.566620, 0.496955, -0.049403, -0.383245, 0.000000, 0.000000], [-0.074317, 0.593985, -0.347548, -0.146477, 0.501984, -0.409520, 0.143002, 0.243454, 0.000000, 0.000000], [0.571789, 0.064634, -0.156374, 0.774437, 0.081355, 0.067427, 0.130011, 0.128867, 0.000000, 0.000000], [0.172897, -0.232621, 0.423463, 0.074540, 0.426816, -0.451815, -0.586637, -0.025785, 0.000000, 0.000000], [-0.358788, 0.444508, 0.530029, 0.317313, 0.265779, 0.310969, 0.109541, -0.335748, 0.000000, 0.000000], [-0.421803, -0.439891, -0.297921, 0.324017, 0.158034, -0.376819, 0.299967, -0.421766, 0.000000, 0.000000], [-0.444387, -0.301641, -0.079151, 0.186683, 0.302766, 0.359886, -0.130566, 0.657408, 0.000000, 0.000000]]
fourier: [[23.381494, 26.668266, 26.746057, 30.549619, 194.065330], [28.671786, 33.519790, 35.270363, 40.087394, 221.504854], [11.339170, 11.659232, 11.810141, 12.338291, 132.115266], [56.060677, 66.328132, 73.037892, 84.441279, 313.899796], [18.036475, 20.492276, 20.502631, 23.488329, 167.752147], [37.466201, 41.686976, 43.808436, 49.458952, 224.271143], [42.497656, 49.720894, 54.038847, 63.350453, 206.934063], [44.384197, 51.874618, 56.791819, 66.077913, 226.560054]]
### 8
mean: [-2.730477, -1.498804, -7.499186, 2.094151, -1.414739, -3.622597, 4.709002, -2.170710]
std: [1.851517, 0.653903, 6.679336, 2.555664, 2.332454, 2.464501, 5.016579, 1.467844]
pca: [[0.189081, -0.104458, 0.644539, 0.509931, -0.135415, -0.389288, -0.320511, -0.072572, 0.000000, 0.000000], [0.065039, 0.084742, 0.380329, 0.136877, 0.642993, 0.441141, 0.082016, 0.458728, 0.000000, 0.000000], [0.691105, 0.501767, 0.057037, -0.105217, 0.001823, 0.244533, -0.005941, -0.443222, 0.000000, 0.000000], [-0.263262, 0.032672, 0.577695, -0.386149, -0.526195, 0.392469, 0.125868, 0.005182, 0.000000, 0.000000], [0.240472, -0.250904, -0.299412, 0.460272, -0.436700, 0.544038, -0.177676, 0.243862, 0.000000, 0.000000], [0.253979, 0.379443, -0.059555, -0.279206, -0.243897, -0.317116, -0.210606, 0.711064, 0.000000, 0.000000], [-0.517394, 0.718439, -0.093702, 0.424798, -0.076333, 0.080911, -0.104261, -0.060600, 0.000000, 0.000000], [0.151846, 0.077372, 0.030985, 0.301320, -0.187931, -0.192183, 0.887623, 0.138117, 0.000000, 0.000000]]
fourier: [[29.165863, 30.509953, 33.522307, 38.315786, 245.742878], [10.407976, 10.653603, 11.087293, 12.567541, 134.892365], [105.000218, 114.575531, 118.068511, 136.246466, 674.926743], [37.704212, 44.927653, 45.973598, 53.099965, 188.473553], [34.269349, 40.862518, 42.908166, 49.473519, 127.326505], [39.343535, 42.205638, 42.596352, 49.221784, 326.033740], [75.542787, 85.791572, 93.136195, 107.959063, 423.810140], [22.838956, 25.291443, 26.130255, 29.978062, 195.363899]]
### 10
mean: [-2.660677, -4.186387, 1.006883, -1.618856, 0.682434, 3.160141, -3.266162, -5.001036]
std: [3.768649, 3.553679, 1.309929, 1.627465, 1.477989, 4.279621, 2.632443, 4.168925]
pca: [[-0.432313, -0.407634, 0.669464, -0.119583, 0.258338, -0.017418, -0.136689, -0.314217, 0.000000, 0.000000], [-0.406381, 0.665877, -0.006200, -0.371706, 0.079255, -0.422561, 0.196041, -0.173168, 0.000000, 0.000000], [0.150132, -0.169242, -0.235346, 0.294603, 0.538550, -0.131305, 0.580475, -0.403002, 0.000000, 0.000000], [-0.185958, -0.307882, -0.463726, -0.031904, 0.319937, -0.519145, -0.497486, 0.187632, 0.000000, 0.000000], [0.168394, 0.342350, 0.365740, 0.714107, 0.017466, -0.370989, -0.269299, -0.016274, 0.000000, 0.000000], [0.491552, 0.289566, 0.139153, -0.338395, 0.613814, 0.240903, -0.325291, 0.006115, 0.000000, 0.000000], [-0.302532, 0.058516, 0.158139, 0.157723, 0.368420, 0.135376, 0.308587, 0.778383, 0.000000, 0.000000], [-0.478888, 0.250066, -0.321267, 0.332248, 0.147576, 0.566032, -0.291340, -0.259774, 0.000000, 0.000000]]
fourier: [[55.619442, 64.495111, 70.543865, 82.173024, 239.460961], [56.768796, 58.183528, 64.732777, 77.162878, 376.774839], [20.458751, 21.457545, 24.241917, 28.852015, 90.619442], [23.898946, 28.257657, 29.950211, 34.350986, 145.697055], [21.522539, 25.619076, 27.189207, 31.068988, 61.419094], [63.981242, 72.877058, 79.580491, 92.807449, 284.412674], [40.437720, 44.445624, 48.703139, 57.356218, 293.954622], [64.540868, 70.062177, 76.585240, 90.399076, 450.093300]]
### 12
mean: [0.389250]
std: [1.198698]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.860622, 20.293388, 22.764459, 26.131259, 35.032461]]
## 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
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -3.3518693447113037, "std": 3.220181941986084, "pca": [0.6313727498054504, 0.04931468889117241, -0.11001251637935638, -0.010258547030389309, -0.11460932344198227, -0.418854683637619, -0.3137056827545166, -0.5474876165390015, 0.0, 0.0], "fourier": [55.080233148535285, 55.278100552374255, 62.04602373981319, 66.21445576658984, 301.66822584718466]}, "1": {"mean": -0.86463862657547, "std": 1.5799660682678223, "pca": [0.06110309436917305, -0.2099897563457489, 0.49284061789512634, 0.598223090171814, -0.575148344039917, 0.09634485095739365, -0.09708885103464127, 0.04363187775015831, 0.0, 0.0], "fourier": [21.998033276202925, 28.172443478231617, 30.944576393613005, 32.744443190891786, 77.81746430695057]}, "2": {"mean": -2.40610671043396, "std": 1.821757435798645, "pca": [0.29708266258239746, -0.11671719700098038, 0.42728686332702637, -0.3110201358795166, 0.25210121273994446, 0.024071604013442993, -0.5536750555038452, 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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": [[-1.302178, -0.163645, -0.360204, -0.12145, -0.281451], [-0.245989, 0.635695, -0.180056, -0.77421, 0.078094], [-0.361358, 0.036876, -0.26739, -0.119624, -0.680012], [-1.427988, 0.009023, 0.114485, 0.225831, 0.141876], [-0.328319, 0.945691, 0.555138, 0.62743, -0.06119], [-0.349523, 0.079606, -0.198158, -0.292472, -0.572701], [-0.720965, -0.063594, -0.416082, -0.05969, -0.3947], [-0.328291, -0.207817, 0.522417, -0.262534, -0.254214]], "network.0.bias": [-0.073191, 0.223156, -0.369856, -0.324115, 0.021483, -1.115386, -0.409842, 0.156282], "network.2.weight": [[0.220806, 0.529688, 0.261182, 0.409637, 0.193267, 0.412932, 0.358213, 0.023965], [-0.271744, 0.775304, -0.199774, -0.36905, -0.657663, 0.006334, 0.271114, 0.945759], [-1.370208, -0.022105, 0.26027, -0.691992, -0.302124, -0.520402, -1.230735, -1.160757], [-0.500202, 0.57869, -0.28377, -0.642412, 0.059672, -0.789873, -0.202538, 0.363098], [-0.202841, 0.578688, -0.241912, -0.088661, -0.876947, -0.560575, -0.079625, 0.403797], [-0.541666, 0.089874, 0.339856, -0.495246, -0.719434, -0.240164, -0.674831, 0.052899], [0.551707, -0.2284, -0.218231, -0.33893, 0.718357, 0.90745, -0.220165, -0.476231], [0.286074, -0.723444, 0.390571, 0.869388, 0.450154, 1.450461, 0.440923, -1.099792]], "network.2.bias": [-0.390831, -0.328569, 0.449076, -0.375964, -0.730325, -0.129277, -0.028553, 0.179423], "network.4.weight": [[-0.123273, 0.69546, -0.224314, -0.121737, 0.683676, -0.335712, 0.515657, 0.811539], [-1.012457, -0.53299, 0.698877, 0.835731, 0.083946, 0.568696, 0.545914, 0.166717], [0.029916, 0.191189, 0.25673, 0.19163, 0.236275, 0.819611, -0.111674, -0.630995], [-0.137219, -0.184348, 0.16967, 0.811289, 0.143216, 1.141186, 0.483935, -0.813795], [0.242127, 0.502479, -0.253775, -0.775304, 0.781082, -0.321831, 0.443227, 1.021018], [-0.059354, -0.813992, -0.275113, -0.074101, -0.438571, -0.349939, -0.224058, -0.331666], [-0.449803, -0.022225, 0.363803, 0.551962, 0.075598, 0.907178, 0.444477, -0.771379], [0.839768, 0.423852, -0.513135, -0.53313, 0.262393, -0.324281, -0.894749, 0.319142]], "network.4.bias": [0.331459, -0.440369, -0.614192, 0.083547, -0.071219, -0.332394, 0.003587, 0.218682], "network.6.weight": [[-0.167897, -0.172822, -0.231608, -0.259515, -0.403142, 0.606387, -0.047549, -0.808945], [-0.207595, -0.537625, -0.107207, 0.089711, -0.3967, 0.303374, 0.09191, -0.638374], [0.025693, 0.326678, 0.132194, 0.704063, 0.186004, -1.01892, 0.502336, 0.29079], [-1.367487, -0.216109, 0.288702, 0.639198, -0.111432, -0.519336, 0.602155, 0.878313], [-0.147969, -0.105942, -0.391866, -0.419535, -0.296388, 0.611249, 0.258298, -0.38703], [0.236034, 0.89044, 0.874011, -0.040865, 0.480608, 0.140074, 0.448553, 0.574521], [0.39942, -0.14125, -0.363731, -0.735352, 0.638268, 0.24359, -0.801492, 0.118845], [0.526783, 0.046855, 0.294135, -0.734642, 0.539912, 0.426974, -0.519163, -0.01786]], "network.6.bias": [-0.469805, -0.493198, 0.503649, 0.684971, -0.535408, 0.050649, -0.333684, -0.276958], "network.8.weight": [[0.117554, 0.092219, 0.341059, -0.685733, -0.171744, -1.046644, 0.221475, -0.056029], [-0.280891, -0.282023, 0.022091, -0.489714, -0.600477, -0.407486, -0.024771, 0.14926], [0.664835, 0.441462, -1.903308, 0.465106, 0.320308, -0.057034, -1.017295, -1.016858], [-0.185143, 0.1426, 0.623829, -1.260822, -0.300351, -0.081586, 0.228932, 0.586087], [0.442117, 0.378196, -0.032882, 0.798636, 0.487372, -0.39942, -0.165131, -0.315092], [0.445067, 0.332912, -1.124619, 0.23289, 0.308242, 0.369501, -0.494095, -0.522853], [0.261261, 0.191879, -0.25244, 0.000272, 0.048648, 0.784539, 0.412035, 0.781309], [0.116249, 0.46698, -0.284542, 0.192912, 0.18301, -0.215401, -0.011843, -0.275112]], "network.8.bias": [-0.921003, -0.881726, 0.569367, -0.557061, 0.863175, -0.304862, 0.011556, -0.453857], "network.10.weight": [[0.316877, 0.382103, 0.363026, 0.501958, 0.461113, -0.300252, -0.96575, -1.045101], [-0.287124, -0.199322, 0.394814, -0.230314, -0.916948, 0.793004, -0.66388, 0.261789], [0.134136, -0.482329, -0.704875, -0.082608, 0.312429, 0.40107, 0.318145, 0.500581], [-0.220114, -0.234889, -0.655327, -0.326706, 0.410648, 0.447404, -0.141663, -0.096472], [0.740013, 0.35307, 0.750884, 0.230546, -0.336516, 0.539728, 0.144024, 0.024951], [-0.188748, -0.426723, -0.929555, 0.182893, -0.331305, 0.195406, 0.75971, 0.597238], [0.425459, 0.047965, 0.160114, 0.072238, -0.07736, 0.235439, -0.579114, 0.011753], [1.207409, 0.280219, 0.341558, -0.333248, -0.359321, 0.206784, -0.720168, -0.335519]], "network.10.bias": [0.669332, -0.228383, -0.410936, -0.362062, -0.294287, -0.812935, -0.59587, -0.616609], "network.12.weight": [[0.366668, -0.946889, 0.025928, 0.122894, -0.162051, -0.183672, -0.85913, -0.820336]], "network.12.bias": [0.841394]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7271347641944885, "train_acc": 0.56, "val_loss": 0.712955117225647, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.688104510307312, "train_acc": 0.56, "val_loss": 0.6968336701393127, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6818137764930725, "train_acc": 0.56, "val_loss": 0.6709117293357849, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.7735606729984283, "train_acc": 0.545, "val_loss": 0.6929651498794556, "val_acc": 0.5}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6935587525367737, "train_acc": 0.515, "val_loss": 0.6455456614494324, "val_acc": 0.6}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.675071656703949, "train_acc": 0.625, "val_loss": 0.6530088186264038, "val_acc": 0.54}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.6575074195861816, "train_acc": 0.615, "val_loss": 0.6472560167312622, "val_acc": 0.58}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.629441648721695, "train_acc": 0.675, "val_loss": 0.6190738677978516, "val_acc": 0.64}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.5858674943447113, "train_acc": 0.71, "val_loss": 0.6103447675704956, "val_acc": 0.74}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.5399791896343231, "train_acc": 0.745, "val_loss": 0.5941192507743835, "val_acc": 0.68}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.5296061038970947, "train_acc": 0.75, "val_loss": 0.5620965361595154, "val_acc": 0.7}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.5075249820947647, "train_acc": 0.77, "val_loss": 0.640022873878479, "val_acc": 0.64}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.5307812690734863, "train_acc": 0.745, "val_loss": 0.49180588126182556, "val_acc": 0.78}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.712955117225647, "final_val_loss": 0.6709117293357849, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.6929651498794556, "final_val_loss": 0.49180588126182556, "initial_val_acc": 0.5, "final_val_acc": 0.78, "best_val_acc": 0.78, "best_epoch": 12}, "improvement": 0.28, "first_improvement_epoch": 2}}
|
9,668
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.5, "improved_accuracy": 0.94, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8493, "learning_rate": 0.017805032809469656, "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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.178028,
0.275214,
-0.023651,
0.237835,
0.259106,
-0.195418
]
],
"network.12.bias": [
-0.12148
]
}
## Activation Signature
### 0
mean: [0.486129, -2.299319, 1.816960, 1.152551, 2.202792, -0.735466, -0.411760, 0.081951]
std: [1.228942, 1.728389, 1.787086, 1.608121, 1.741415, 0.851085, 1.543751, 1.009053]
pca: [[0.306012, -0.322666, -0.109266, -0.058363, -0.588793, -0.305100, 0.424650, 0.408421, 0.000000, 0.000000], [-0.530347, -0.164764, -0.495432, -0.430936, -0.002133, 0.331377, -0.062909, 0.382953, 0.000000, 0.000000], [0.685699, -0.050357, 0.004214, -0.220666, 0.071428, 0.680022, -0.058168, 0.087491, 0.000000, 0.000000], [-0.078569, 0.557602, -0.262990, 0.596218, -0.308260, 0.333904, 0.123037, 0.191345, 0.000000, 0.000000], [0.258644, 0.612791, -0.214093, -0.344729, 0.358015, -0.397108, 0.083643, 0.316307, 0.000000, 0.000000], [-0.065799, -0.246607, -0.002623, 0.279833, 0.595864, 0.118598, 0.686374, 0.127723, 0.000000, 0.000000], [-0.231518, 0.164963, 0.785595, -0.114518, -0.053598, 0.144098, 0.012583, 0.514895, 0.000000, 0.000000], [0.154615, -0.302890, -0.102096, 0.443238, 0.259019, -0.175090, -0.564738, 0.510678, 0.000000, 0.000000]]
fourier: [[18.302506, 19.735114, 21.745071, 26.070726, 43.751625], [24.885628, 25.629170, 26.705673, 29.129384, 206.938687], [28.532042, 29.620016, 30.029153, 33.475267, 163.526447], [24.471781, 28.772017, 34.389920, 36.084053, 103.729623], [27.340982, 28.752547, 31.404452, 34.059072, 198.251270], [12.457938, 13.474212, 13.556349, 15.121715, 66.191964], [24.028008, 25.678104, 28.111506, 29.961922, 37.058401], [14.471376, 15.361697, 15.727059, 15.738414, 19.762241]]
### 2
mean: [-0.099052, 0.206971, 1.378841, 0.873538, 1.692739, 1.847546, 1.026480, 0.111644]
std: [0.171455, 0.763132, 1.403567, 1.274541, 1.103266, 1.395226, 1.557470, 0.265688]
pca: [[0.029143, 0.066168, -0.147340, 0.061082, -0.076247, 0.974876, 0.068654, 0.091776, 0.000000, 0.000000], [0.240269, -0.185401, 0.630047, 0.443086, 0.173279, 0.049808, 0.531070, -0.008422, 0.000000, 0.000000], [0.517275, 0.002826, 0.400391, -0.462174, 0.347015, 0.143843, -0.451038, -0.118130, 0.000000, 0.000000], [0.460387, -0.150445, -0.524324, -0.192947, 0.143552, -0.049993, 0.472854, -0.454498, 0.000000, 0.000000], [0.349972, 0.346942, -0.170458, 0.692450, -0.012188, -0.048859, -0.408620, -0.281252, 0.000000, 0.000000], [0.101007, 0.882917, 0.127320, -0.228443, -0.101825, -0.070287, 0.343374, 0.092970, 0.000000, 0.000000], [0.572416, -0.167977, -0.135083, 0.009750, -0.417541, -0.121085, -0.007421, 0.660851, 0.000000, 0.000000], [-0.039361, 0.102364, -0.287385, 0.131688, 0.798922, -0.044245, 0.035967, 0.496501, 0.000000, 0.000000]]
fourier: [[2.503274, 2.558689, 3.314765, 3.740392, 8.914647], [12.338641, 13.615161, 14.094577, 14.729228, 18.627420], [21.384102, 21.918173, 28.853461, 29.103828, 124.095736], [20.302877, 21.770637, 27.191992, 28.922486, 78.618406], [16.098884, 18.084954, 22.100886, 22.184552, 152.346518], [24.614871, 24.961231, 25.377998, 26.708054, 166.279128], [23.709216, 26.157969, 33.488577, 34.746683, 92.383227], [4.090031, 4.911126, 5.085415, 5.242760, 10.047936]]
### 4
mean: [0.925676, 1.049981, 1.953017, -0.816207, 0.611513, 0.222995, 0.256308, 1.564573]
std: [1.535525, 0.655112, 2.440897, 0.648371, 0.904097, 0.305692, 0.523761, 2.151956]
pca: [[0.409159, -0.032758, 0.713725, -0.025161, -0.139831, 0.115619, -0.417584, 0.337909, 0.000000, 0.000000], [-0.052256, 0.622089, -0.238556, -0.065087, -0.172942, 0.498392, -0.476750, -0.208649, 0.000000, 0.000000], [0.649260, 0.301942, -0.286311, -0.384093, 0.138156, 0.037731, 0.368362, 0.318730, 0.000000, 0.000000], [-0.157294, -0.270973, -0.149193, 0.140807, 0.613787, 0.545455, -0.114992, 0.415052, 0.000000, 0.000000], [-0.204137, 0.482627, -0.071494, 0.491883, -0.018123, -0.386659, -0.027436, 0.572497, 0.000000, 0.000000], [0.079015, 0.017156, 0.148138, 0.477752, -0.392528, 0.519202, 0.565203, -0.012943, 0.000000, 0.000000], [-0.064630, 0.448020, 0.496351, 0.038523, 0.596832, -0.018861, 0.256509, -0.353401, 0.000000, 0.000000], [0.575748, -0.115724, -0.236718, 0.596738, 0.210006, -0.140926, -0.251823, -0.340019, 0.000000, 0.000000]]
fourier: [[24.150467, 26.744557, 33.165015, 33.731790, 83.310802], [10.379372, 10.441757, 10.543302, 13.445745, 94.498301], [39.238560, 39.669055, 52.833465, 54.727203, 175.771567], [9.793417, 11.192268, 13.129032, 13.278245, 73.458642], [15.786016, 16.791452, 17.331041, 17.937950, 55.036193], [4.896898, 5.514503, 6.140692, 6.256532, 20.069581], [8.668712, 8.779772, 9.165824, 10.517654, 23.067766], [33.973719, 36.133203, 46.428724, 47.671376, 140.811594]]
### 6
mean: [0.684711, 0.880985, 1.562307, -0.358791, 0.768195, 0.267143, -0.289933, -0.834977]
std: [1.307263, 0.810717, 2.396087, 0.242418, 1.575469, 1.040358, 1.703521, 1.896272]
pca: [[0.309085, 0.011220, 0.417917, 0.639170, 0.197018, 0.372054, -0.074931, -0.371877, 0.000000, 0.000000], [0.171455, 0.599996, -0.447969, 0.021239, -0.054725, -0.236668, -0.296654, -0.512318, 0.000000, 0.000000], [0.565541, 0.295585, -0.209709, 0.012031, -0.111842, 0.190648, 0.656136, 0.263250, 0.000000, 0.000000], [0.044584, -0.246378, -0.223261, 0.100310, 0.761671, -0.428520, 0.308353, -0.136197, 0.000000, 0.000000], [0.371791, 0.144101, 0.665554, -0.467354, 0.027813, -0.401872, 0.010114, -0.131325, 0.000000, 0.000000], [-0.231993, 0.579274, 0.211600, 0.332170, 0.250665, -0.216381, -0.124466, 0.574773, 0.000000, 0.000000], [-0.399935, 0.357896, 0.103729, -0.414162, 0.380585, 0.522326, 0.233521, -0.239731, 0.000000, 0.000000], [-0.448607, 0.085987, 0.179857, 0.283755, -0.396342, -0.323174, 0.557368, -0.326046, 0.000000, 0.000000]]
fourier: [[21.565076, 22.763246, 27.762290, 28.813333, 61.623950], [13.013861, 13.644222, 17.150431, 17.299774, 79.288614], [39.022910, 40.147543, 52.341916, 52.436152, 140.607642], [3.399427, 3.642878, 4.499601, 4.572165, 32.291203], [26.105365, 26.412158, 33.582316, 35.188922, 69.137585], [17.363365, 19.877059, 20.073126, 20.274240, 24.042894], [26.541646, 26.743567, 31.419110, 35.490615, 35.641157], [29.835807, 33.639818, 40.740072, 40.801141, 75.147912]]
### 8
mean: [-0.468902, -0.176794, 1.583639, -0.049831, 1.117633, -0.201801, -0.787415, 1.434419]
std: [0.219564, 0.907385, 2.158201, 1.004665, 2.042965, 1.474395, 2.309857, 2.398231]
pca: [[0.035538, -0.243039, -0.236399, -0.423948, 0.341311, 0.471227, 0.417350, -0.437406, 0.000000, 0.000000], [-0.178777, 0.471531, -0.450036, -0.376366, -0.393205, -0.357160, 0.343980, -0.031904, 0.000000, 0.000000], [0.442795, 0.221289, 0.553822, -0.470317, -0.121686, -0.156110, -0.200084, -0.384495, 0.000000, 0.000000], [-0.190284, 0.720895, 0.015976, 0.179601, 0.049494, 0.584403, -0.219284, -0.139744, 0.000000, 0.000000], [0.418815, 0.270680, 0.082689, -0.203749, 0.333664, 0.113176, 0.295810, 0.700951, 0.000000, 0.000000], [-0.302286, 0.188106, -0.043609, -0.104744, 0.763159, -0.468797, -0.211731, -0.115558, 0.000000, 0.000000], [-0.474635, 0.045977, 0.642135, 0.109249, -0.013227, -0.043652, 0.588289, -0.013078, 0.000000, 0.000000], [0.492382, 0.197905, -0.116329, 0.600618, 0.133119, -0.223607, 0.375448, -0.368018, 0.000000, 0.000000]]
fourier: [[3.629228, 3.645437, 4.079293, 4.444352, 42.201226], [14.896274, 15.911428, 16.707689, 17.341430, 19.298717], [35.954171, 36.416526, 45.959052, 46.912948, 142.527494], [15.505195, 16.495517, 17.142983, 19.857934, 20.360667], [33.736248, 34.306014, 43.742818, 44.787823, 100.586956], [23.822629, 24.348909, 26.436405, 30.780240, 31.514685], [37.848347, 40.669020, 49.499007, 49.638889, 70.867368], [39.444474, 40.815137, 52.023402, 52.192932, 129.097699]]
### 10
mean: [-0.054970, 1.580663, -0.105397, -0.585121, -0.572930, -0.231825, 0.099095, 0.531663]
std: [1.478496, 2.836401, 0.429740, 1.199514, 0.894103, 0.981043, 0.749347, 1.549424]
pca: [[-0.362210, 0.478857, -0.329078, 0.468118, -0.312548, -0.291307, 0.110585, -0.342488, 0.000000, 0.000000], [0.698244, 0.398033, -0.044767, 0.119151, -0.411117, 0.397710, 0.063417, 0.081314, 0.000000, 0.000000], [-0.101833, 0.338514, 0.812343, 0.369794, 0.137253, -0.039786, -0.184233, 0.155002, 0.000000, 0.000000], [-0.294521, -0.305462, -0.228589, 0.444405, -0.241753, 0.363908, -0.342288, 0.512023, 0.000000, 0.000000], [-0.219010, -0.292709, 0.262901, 0.169916, -0.102898, 0.532782, 0.580687, -0.369763, 0.000000, 0.000000], [-0.238518, 0.480224, -0.246556, -0.151744, 0.544747, 0.554515, -0.143543, -0.061940, 0.000000, 0.000000], [-0.183586, 0.243227, -0.042958, -0.150910, 0.006896, -0.113979, 0.649067, 0.669471, 0.000000, 0.000000], [0.381558, -0.170043, -0.214002, 0.598126, 0.590447, -0.136452, 0.231423, 0.033824, 0.000000, 0.000000]]
fourier: [[23.910124, 24.227021, 27.638461, 28.704741, 31.967310], [47.761367, 50.193219, 59.253295, 60.916638, 142.259647], [6.704984, 7.405270, 8.202315, 9.485764, 9.575928], [20.131953, 20.986885, 25.499769, 25.605384, 52.660918], [15.080731, 15.367252, 19.101492, 19.120386, 51.563735], [16.052095, 18.297037, 18.592405, 20.864295, 21.085011], [12.197525, 12.381853, 13.948328, 14.481771, 16.175584], [25.953206, 28.234116, 31.114231, 33.270231, 47.849672]]
### 12
mean: [-0.751396]
std: [1.633958]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.937919, 29.605782, 32.702322, 35.372127, 67.625681]]
## 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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.565603,
0.219,
0.08832,
0.430966
],
[
0.315577,
-0.135904,
0.536002,
0.134635,
0.518614,
0.14204,
-0.268423,
-0.417456
]
],
"network.8.bias": [
-0.308367,
-0.11126,
0.408334,
-0.113529,
-0.028427,
0.388427,
0.248892,
0.118954
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"network.10.weight": [
[
-0.334828,
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0.415254,
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],
[
-0.046294,
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0.527136,
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0.334982,
-0.294442,
-0.241242,
0.297264
],
[
0.156318,
0.019199,
-0.225463,
-0.2041,
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0.07434,
0.516178,
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],
[
-0.386073,
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-0.367642,
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[
0.189844,
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0.025841,
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],
[
-0.139064,
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0.022685,
-0.343142,
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-0.106411
],
[
0.155583,
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0.061062,
0.187986,
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[
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0.222889,
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"network.12.weight": [
[
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"network.12.bias": [
-0.12148
]
}
## Activation Signature
### 0
mean: [0.486129, -2.299319, 1.816960, 1.152551, 2.202792, -0.735466, -0.411760, 0.081951]
std: [1.228942, 1.728389, 1.787086, 1.608121, 1.741415, 0.851085, 1.543751, 1.009053]
pca: [[0.306012, -0.322666, -0.109266, -0.058363, -0.588793, -0.305100, 0.424650, 0.408421, 0.000000, 0.000000], [-0.530347, -0.164764, -0.495432, -0.430936, -0.002133, 0.331377, -0.062909, 0.382953, 0.000000, 0.000000], [0.685699, -0.050357, 0.004214, -0.220666, 0.071428, 0.680022, -0.058168, 0.087491, 0.000000, 0.000000], [-0.078569, 0.557602, -0.262990, 0.596218, -0.308260, 0.333904, 0.123037, 0.191345, 0.000000, 0.000000], [0.258644, 0.612791, -0.214093, -0.344729, 0.358015, -0.397108, 0.083643, 0.316307, 0.000000, 0.000000], [-0.065799, -0.246607, -0.002623, 0.279833, 0.595864, 0.118598, 0.686374, 0.127723, 0.000000, 0.000000], [-0.231518, 0.164963, 0.785595, -0.114518, -0.053598, 0.144098, 0.012583, 0.514895, 0.000000, 0.000000], [0.154615, -0.302890, -0.102096, 0.443238, 0.259019, -0.175090, -0.564738, 0.510678, 0.000000, 0.000000]]
fourier: [[18.302506, 19.735114, 21.745071, 26.070726, 43.751625], [24.885628, 25.629170, 26.705673, 29.129384, 206.938687], [28.532042, 29.620016, 30.029153, 33.475267, 163.526447], [24.471781, 28.772017, 34.389920, 36.084053, 103.729623], [27.340982, 28.752547, 31.404452, 34.059072, 198.251270], [12.457938, 13.474212, 13.556349, 15.121715, 66.191964], [24.028008, 25.678104, 28.111506, 29.961922, 37.058401], [14.471376, 15.361697, 15.727059, 15.738414, 19.762241]]
### 2
mean: [-0.099052, 0.206971, 1.378841, 0.873538, 1.692739, 1.847546, 1.026480, 0.111644]
std: [0.171455, 0.763132, 1.403567, 1.274541, 1.103266, 1.395226, 1.557470, 0.265688]
pca: [[0.029143, 0.066168, -0.147340, 0.061082, -0.076247, 0.974876, 0.068654, 0.091776, 0.000000, 0.000000], [0.240269, -0.185401, 0.630047, 0.443086, 0.173279, 0.049808, 0.531070, -0.008422, 0.000000, 0.000000], [0.517275, 0.002826, 0.400391, -0.462174, 0.347015, 0.143843, -0.451038, -0.118130, 0.000000, 0.000000], [0.460387, -0.150445, -0.524324, -0.192947, 0.143552, -0.049993, 0.472854, -0.454498, 0.000000, 0.000000], [0.349972, 0.346942, -0.170458, 0.692450, -0.012188, -0.048859, -0.408620, -0.281252, 0.000000, 0.000000], [0.101007, 0.882917, 0.127320, -0.228443, -0.101825, -0.070287, 0.343374, 0.092970, 0.000000, 0.000000], [0.572416, -0.167977, -0.135083, 0.009750, -0.417541, -0.121085, -0.007421, 0.660851, 0.000000, 0.000000], [-0.039361, 0.102364, -0.287385, 0.131688, 0.798922, -0.044245, 0.035967, 0.496501, 0.000000, 0.000000]]
fourier: [[2.503274, 2.558689, 3.314765, 3.740392, 8.914647], [12.338641, 13.615161, 14.094577, 14.729228, 18.627420], [21.384102, 21.918173, 28.853461, 29.103828, 124.095736], [20.302877, 21.770637, 27.191992, 28.922486, 78.618406], [16.098884, 18.084954, 22.100886, 22.184552, 152.346518], [24.614871, 24.961231, 25.377998, 26.708054, 166.279128], [23.709216, 26.157969, 33.488577, 34.746683, 92.383227], [4.090031, 4.911126, 5.085415, 5.242760, 10.047936]]
### 4
mean: [0.925676, 1.049981, 1.953017, -0.816207, 0.611513, 0.222995, 0.256308, 1.564573]
std: [1.535525, 0.655112, 2.440897, 0.648371, 0.904097, 0.305692, 0.523761, 2.151956]
pca: [[0.409159, -0.032758, 0.713725, -0.025161, -0.139831, 0.115619, -0.417584, 0.337909, 0.000000, 0.000000], [-0.052256, 0.622089, -0.238556, -0.065087, -0.172942, 0.498392, -0.476750, -0.208649, 0.000000, 0.000000], [0.649260, 0.301942, -0.286311, -0.384093, 0.138156, 0.037731, 0.368362, 0.318730, 0.000000, 0.000000], [-0.157294, -0.270973, -0.149193, 0.140807, 0.613787, 0.545455, -0.114992, 0.415052, 0.000000, 0.000000], [-0.204137, 0.482627, -0.071494, 0.491883, -0.018123, -0.386659, -0.027436, 0.572497, 0.000000, 0.000000], [0.079015, 0.017156, 0.148138, 0.477752, -0.392528, 0.519202, 0.565203, -0.012943, 0.000000, 0.000000], [-0.064630, 0.448020, 0.496351, 0.038523, 0.596832, -0.018861, 0.256509, -0.353401, 0.000000, 0.000000], [0.575748, -0.115724, -0.236718, 0.596738, 0.210006, -0.140926, -0.251823, -0.340019, 0.000000, 0.000000]]
fourier: [[24.150467, 26.744557, 33.165015, 33.731790, 83.310802], [10.379372, 10.441757, 10.543302, 13.445745, 94.498301], [39.238560, 39.669055, 52.833465, 54.727203, 175.771567], [9.793417, 11.192268, 13.129032, 13.278245, 73.458642], [15.786016, 16.791452, 17.331041, 17.937950, 55.036193], [4.896898, 5.514503, 6.140692, 6.256532, 20.069581], [8.668712, 8.779772, 9.165824, 10.517654, 23.067766], [33.973719, 36.133203, 46.428724, 47.671376, 140.811594]]
### 6
mean: [0.684711, 0.880985, 1.562307, -0.358791, 0.768195, 0.267143, -0.289933, -0.834977]
std: [1.307263, 0.810717, 2.396087, 0.242418, 1.575469, 1.040358, 1.703521, 1.896272]
pca: [[0.309085, 0.011220, 0.417917, 0.639170, 0.197018, 0.372054, -0.074931, -0.371877, 0.000000, 0.000000], [0.171455, 0.599996, -0.447969, 0.021239, -0.054725, -0.236668, -0.296654, -0.512318, 0.000000, 0.000000], [0.565541, 0.295585, -0.209709, 0.012031, -0.111842, 0.190648, 0.656136, 0.263250, 0.000000, 0.000000], [0.044584, -0.246378, -0.223261, 0.100310, 0.761671, -0.428520, 0.308353, -0.136197, 0.000000, 0.000000], [0.371791, 0.144101, 0.665554, -0.467354, 0.027813, -0.401872, 0.010114, -0.131325, 0.000000, 0.000000], [-0.231993, 0.579274, 0.211600, 0.332170, 0.250665, -0.216381, -0.124466, 0.574773, 0.000000, 0.000000], [-0.399935, 0.357896, 0.103729, -0.414162, 0.380585, 0.522326, 0.233521, -0.239731, 0.000000, 0.000000], [-0.448607, 0.085987, 0.179857, 0.283755, -0.396342, -0.323174, 0.557368, -0.326046, 0.000000, 0.000000]]
fourier: [[21.565076, 22.763246, 27.762290, 28.813333, 61.623950], [13.013861, 13.644222, 17.150431, 17.299774, 79.288614], [39.022910, 40.147543, 52.341916, 52.436152, 140.607642], [3.399427, 3.642878, 4.499601, 4.572165, 32.291203], [26.105365, 26.412158, 33.582316, 35.188922, 69.137585], [17.363365, 19.877059, 20.073126, 20.274240, 24.042894], [26.541646, 26.743567, 31.419110, 35.490615, 35.641157], [29.835807, 33.639818, 40.740072, 40.801141, 75.147912]]
### 8
mean: [-0.468902, -0.176794, 1.583639, -0.049831, 1.117633, -0.201801, -0.787415, 1.434419]
std: [0.219564, 0.907385, 2.158201, 1.004665, 2.042965, 1.474395, 2.309857, 2.398231]
pca: [[0.035538, -0.243039, -0.236399, -0.423948, 0.341311, 0.471227, 0.417350, -0.437406, 0.000000, 0.000000], [-0.178777, 0.471531, -0.450036, -0.376366, -0.393205, -0.357160, 0.343980, -0.031904, 0.000000, 0.000000], [0.442795, 0.221289, 0.553822, -0.470317, -0.121686, -0.156110, -0.200084, -0.384495, 0.000000, 0.000000], [-0.190284, 0.720895, 0.015976, 0.179601, 0.049494, 0.584403, -0.219284, -0.139744, 0.000000, 0.000000], [0.418815, 0.270680, 0.082689, -0.203749, 0.333664, 0.113176, 0.295810, 0.700951, 0.000000, 0.000000], [-0.302286, 0.188106, -0.043609, -0.104744, 0.763159, -0.468797, -0.211731, -0.115558, 0.000000, 0.000000], [-0.474635, 0.045977, 0.642135, 0.109249, -0.013227, -0.043652, 0.588289, -0.013078, 0.000000, 0.000000], [0.492382, 0.197905, -0.116329, 0.600618, 0.133119, -0.223607, 0.375448, -0.368018, 0.000000, 0.000000]]
fourier: [[3.629228, 3.645437, 4.079293, 4.444352, 42.201226], [14.896274, 15.911428, 16.707689, 17.341430, 19.298717], [35.954171, 36.416526, 45.959052, 46.912948, 142.527494], [15.505195, 16.495517, 17.142983, 19.857934, 20.360667], [33.736248, 34.306014, 43.742818, 44.787823, 100.586956], [23.822629, 24.348909, 26.436405, 30.780240, 31.514685], [37.848347, 40.669020, 49.499007, 49.638889, 70.867368], [39.444474, 40.815137, 52.023402, 52.192932, 129.097699]]
### 10
mean: [-0.054970, 1.580663, -0.105397, -0.585121, -0.572930, -0.231825, 0.099095, 0.531663]
std: [1.478496, 2.836401, 0.429740, 1.199514, 0.894103, 0.981043, 0.749347, 1.549424]
pca: [[-0.362210, 0.478857, -0.329078, 0.468118, -0.312548, -0.291307, 0.110585, -0.342488, 0.000000, 0.000000], [0.698244, 0.398033, -0.044767, 0.119151, -0.411117, 0.397710, 0.063417, 0.081314, 0.000000, 0.000000], [-0.101833, 0.338514, 0.812343, 0.369794, 0.137253, -0.039786, -0.184233, 0.155002, 0.000000, 0.000000], [-0.294521, -0.305462, -0.228589, 0.444405, -0.241753, 0.363908, -0.342288, 0.512023, 0.000000, 0.000000], [-0.219010, -0.292709, 0.262901, 0.169916, -0.102898, 0.532782, 0.580687, -0.369763, 0.000000, 0.000000], [-0.238518, 0.480224, -0.246556, -0.151744, 0.544747, 0.554515, -0.143543, -0.061940, 0.000000, 0.000000], [-0.183586, 0.243227, -0.042958, -0.150910, 0.006896, -0.113979, 0.649067, 0.669471, 0.000000, 0.000000], [0.381558, -0.170043, -0.214002, 0.598126, 0.590447, -0.136452, 0.231423, 0.033824, 0.000000, 0.000000]]
fourier: [[23.910124, 24.227021, 27.638461, 28.704741, 31.967310], [47.761367, 50.193219, 59.253295, 60.916638, 142.259647], [6.704984, 7.405270, 8.202315, 9.485764, 9.575928], [20.131953, 20.986885, 25.499769, 25.605384, 52.660918], [15.080731, 15.367252, 19.101492, 19.120386, 51.563735], [16.052095, 18.297037, 18.592405, 20.864295, 21.085011], [12.197525, 12.381853, 13.948328, 14.481771, 16.175584], [25.953206, 28.234116, 31.114231, 33.270231, 47.849672]]
### 12
mean: [-0.751396]
std: [1.633958]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.937919, 29.605782, 32.702322, 35.372127, 67.625681]]
## 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": 0.48612913489341736, "std": 1.2289419174194336, "pca": [0.306012362241745, -0.3226659893989563, -0.10926596075296402, -0.05836312100291252, -0.5887926816940308, -0.30510035157203674, 0.4246496856212616, 0.40842053294181824, 0.0, 0.0], "fourier": [18.302506130816372, 19.735113883430504, 21.745071327180845, 26.070726069742815, 43.75162523984909]}, "1": {"mean": -2.299318552017212, "std": 1.7283886671066284, "pca": [-0.5303467512130737, -0.16476431488990784, -0.4954321086406708, -0.430935800075531, -0.002133286092430353, 0.33137744665145874, -0.06290940940380096, 0.3829532861709595, 0.0, 0.0], "fourier": [24.885627791994818, 25.62916959175006, 26.705673478255147, 29.129383985770065, 206.9386871755123]}, "2": {"mean": 1.8169604539871216, "std": 1.787085771560669, "pca": [0.6856987476348877, -0.05035720765590668, 0.004213992971926928, -0.22066639363765717, 0.07142805308103561, 0.6800219416618347, -0.05816785246133804, 0.08749076724052429, 0.0, 0.0], "fourier": [28.53204232519651, 29.6200161929627, 30.029153230879828, 33.47526727708828, 163.52644726634026]}, "3": {"mean": 1.152551293373108, "std": 1.6081209182739258, "pca": [-0.07856939733028412, 0.5576022267341614, -0.2629901170730591, 0.5962178707122803, -0.30826008319854736, 0.333903968334198, 0.12303684651851654, 0.19134476780891418, 0.0, 0.0], "fourier": [24.47178087683447, 28.77201705231236, 34.38991997811178, 36.084052984423835, 103.72962310910225]}, "4": {"mean": 2.202791929244995, "std": 1.7414147853851318, "pca": [0.2586439549922943, 0.6127912998199463, -0.21409311890602112, -0.34472909569740295, 0.35801541805267334, -0.39710816740989685, 0.08364283293485641, 0.3163068890571594, 0.0, 0.0], "fourier": [27.340981893563395, 28.75254724413185, 31.404452395411766, 34.05907182156357, 198.25127044320107]}, "5": {"mean": -0.7354662418365479, "std": 0.8510852456092834, "pca": [-0.065798819065094, -0.2466072142124176, -0.0026227361522614956, 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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": [[-0.024293, 0.025801, 0.2631, 0.164872, -0.661423], [0.361939, -0.227818, -0.32659, -0.635116, -0.012525], [-0.116463, 0.595416, 0.229436, 0.403188, -0.454872], [0.442632, -0.296748, 0.235592, 0.179328, 0.507739], [0.437966, 0.421559, -0.169071, 0.259315, 0.41438], [-0.35662, 0.16023, 0.140387, -0.323568, 0.008763], [-0.2535, -0.308359, -0.418207, 0.282416, 0.420816], [-0.324367, 0.169108, 0.398177, -0.156296, -0.257085]], "network.0.bias": [0.381954, -0.274967, 0.094041, -0.360434, 0.175607, -0.193835, 0.214561, -0.002053], "network.2.weight": [[0.125754, 0.407867, -0.00148, 0.021024, 0.066139, 0.532365, -0.021388, -0.082622], [0.020849, -0.421487, -0.207629, 0.104104, 0.19032, -0.005719, 0.477264, -0.128555], [-0.418968, -0.674147, -0.029356, 0.212778, 0.495671, -0.072001, 0.35785, -0.207329], [-0.384547, -0.473914, -0.167351, 0.407003, 0.366043, -0.222577, -0.022464, 0.044989], [-0.092682, -0.087216, 0.190997, 0.307395, 0.323839, -0.110719, 0.389073, 0.361903], [0.021673, 0.039682, 0.579187, -0.140274, 0.365194, -0.430537, 0.20305, 0.391443], [-0.447789, -0.21776, -0.094101, 0.538343, 0.326664, -0.50891, 0.267371, -0.089067], [0.047114, -0.384073, -0.040005, -0.099988, 0.127729, 0.307463, -0.095908, 0.285182]], "network.2.bias": [-0.29445, -0.076851, 0.334106, 0.147161, 0.091079, -0.063133, 0.086737, -0.066246], "network.4.weight": [[-0.485297, -0.203488, 0.34306, 0.36867, -0.136332, -0.059004, 0.567301, -0.38006], [-0.143909, -0.077016, 0.018652, -0.430757, 0.391646, 0.271818, -0.010613, -0.419645], [0.101473, 0.487936, 0.350129, 0.458915, 0.443039, -0.136134, 0.497299, -0.269394], [0.464701, -0.076097, -0.019874, -0.22141, -0.003185, -0.193915, -0.165131, 0.332467], [-0.470764, -0.089998, 0.062403, -0.382421, 0.070645, 0.349894, -0.269119, -0.305388], [-0.387037, -0.020504, 0.15428, 0.09795, 0.048794, -0.014652, -0.05835, -0.490364], [-0.037953, -0.351254, 0.220727, -0.120193, -0.011059, 0.297618, -0.139774, -0.341515], [-0.4724, 0.423214, 0.503251, 0.267031, 0.164314, -0.309476, 0.530184, -0.106957]], "network.4.bias": [-0.058168, 0.350032, -0.021334, -0.062985, 0.445929, -0.024146, -0.172515, 0.261088], "network.6.weight": [[0.00871, -0.123344, 0.228231, 0.086829, -0.471431, -0.270773, 0.203957, 0.26994], [0.103255, 0.135055, 0.074566, 0.094956, 0.060384, -0.162465, 0.3502, 0.270089], [0.290084, -0.218138, 0.314399, 0.165402, -0.28261, -0.392782, 0.104972, 0.536447], [0.081568, -0.019516, -0.240815, -0.17697, -0.004811, 0.337304, -0.270291, 0.249291], [0.177353, 0.064478, 0.495126, -0.28385, -0.43394, -0.257199, -0.327603, -0.032134], [-0.295885, 0.371322, 0.112867, -0.339349, 0.06827, -0.299491, 0.515244, -0.250815], [-0.406217, 0.191439, 0.158652, -0.323946, 0.41082, 0.159963, 0.23836, -0.577691], [-0.28872, 0.278125, -0.160349, 0.01053, 0.197481, -0.388338, 0.27024, -0.377835]], "network.6.bias": [0.235783, -0.000773, 0.275543, -0.362343, 0.009126, 0.230328, 0.153471, -0.038125], "network.8.weight": [[0.192711, -0.004129, -0.17407, 0.236312, 0.147746, -0.307599, 0.109281, -0.158934], [0.135918, -0.11206, -0.136481, -0.380367, -0.220197, 0.184412, 0.325087, 0.370043], [0.046533, 0.36621, 0.389487, -0.445603, 0.487534, -0.553136, -0.014276, -0.002046], [-0.095483, 0.190675, -0.097574, 0.043277, -0.251872, 0.326262, 0.404517, 0.288617], [0.280448, 0.154377, 0.303262, -0.147552, 0.518963, -0.310385, 0.080441, -0.230539], [-0.175377, -0.021342, -0.408901, -0.081392, -0.037764, 0.249493, 0.258416, 0.130716], [-0.521438, 0.262071, -0.365036, -0.226092, -0.565603, 0.219, 0.08832, 0.430966], [0.315577, -0.135904, 0.536002, 0.134635, 0.518614, 0.14204, -0.268423, -0.417456]], "network.8.bias": [-0.308367, -0.11126, 0.408334, -0.113529, -0.028427, 0.388427, 0.248892, 0.118954], "network.10.weight": [[-0.334828, 0.159268, 0.091896, 0.309763, -0.201196, 0.238544, 0.415254, -0.378744], [-0.046294, -0.431636, 0.527136, -0.259179, 0.334982, -0.294442, -0.241242, 0.297264], [0.156318, 0.019199, -0.225463, -0.2041, 0.123612, 0.07434, 0.516178, -0.005166], [-0.386073, -0.130153, 0.10308, 0.262768, -0.367642, 0.329264, -0.029118, -0.235584], [0.189844, -0.150018, -0.136193, 0.100305, -0.18048, 0.263619, 0.025841, -0.070397], [-0.139064, 0.472241, 0.12712, 0.022685, -0.343142, 0.364635, 0.146964, -0.106411], [0.155583, 0.204992, -0.147231, 0.108775, -0.005674, 0.061062, 0.187986, -0.102261], [-0.416852, -0.047492, 0.491019, -0.248403, 0.173095, -0.201305, -0.358968, -0.059598]], "network.10.bias": [0.222889, 0.219765, -0.049963, -0.148781, -0.11426, -0.147183, 0.357678, -0.129144], "network.12.weight": [[0.295648, -0.405598, 0.178028, 0.275214, -0.023651, 0.237835, 0.259106, -0.195418]], "network.12.bias": [-0.12148]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6882718503475189, "train_acc": 0.575, "val_loss": 0.7027413845062256, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6810226440429688, "train_acc": 0.575, "val_loss": 0.7015122771263123, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6772032082080841, "train_acc": 0.575, "val_loss": 0.6984376311302185, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6728127598762512, "train_acc": 0.575, "val_loss": 0.6884621977806091, "val_acc": 0.5}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6593778431415558, "train_acc": 0.575, "val_loss": 0.6596627831459045, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6395489275455475, "train_acc": 0.515, "val_loss": 0.5832540392875671, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5325332134962082, "train_acc": 0.795, "val_loss": 0.4825725555419922, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.46402762830257416, "train_acc": 0.765, "val_loss": 0.4097440242767334, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.4401097148656845, "train_acc": 0.795, "val_loss": 0.3869040608406067, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.39912623167037964, "train_acc": 0.825, "val_loss": 0.34062737226486206, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.35970187187194824, "train_acc": 0.825, "val_loss": 0.3436214327812195, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.35740312933921814, "train_acc": 0.84, "val_loss": 0.3403500020503998, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.3295152485370636, "train_acc": 0.855, "val_loss": 0.32019591331481934, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.32826070487499237, "train_acc": 0.87, "val_loss": 0.3071790039539337, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.3103717863559723, "train_acc": 0.875, "val_loss": 0.2990977168083191, "val_acc": 0.94}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.7027413845062256, "final_val_loss": 0.6596627831459045, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5832540392875671, "final_val_loss": 0.2990977168083191, "initial_val_acc": 0.7, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 10}, "improvement": 0.43999999999999995, "first_improvement_epoch": 4}}
|
9,669
|
{"target_pattern": "alternating", "degraded_accuracy": 0.48, "improved_accuracy": 0.88, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9898, "learning_rate": 0.05082851747366497, "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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0.451468
],
[
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0.111244,
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[
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0.18113,
0.198684,
-0.274565
],
[
-0.765197,
-0.258814,
0.640363,
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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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[
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"network.2.bias": [
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"network.4.weight": [
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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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]
}
## Activation Signature
### 0
mean: [1.117049, -1.360892, 0.578538, 0.926464, -1.754194, 0.407459, 0.257984]
std: [1.063236, 1.150852, 0.701374, 2.034251, 1.439550, 1.406440, 1.704272]
pca: [[0.252574, 0.318700, -0.333566, -0.314022, -0.137116, 0.376180, 0.681505, 0.000000, 0.000000, 0.000000], [0.089706, -0.340835, 0.669909, -0.520044, -0.166839, 0.358381, -0.016979, 0.000000, 0.000000, 0.000000], [0.103292, -0.155726, -0.040237, 0.621446, -0.490443, 0.569416, -0.111787, 0.000000, 0.000000, 0.000000], [0.678882, 0.260407, 0.416611, 0.337084, 0.421910, -0.011815, 0.077262, 0.000000, 0.000000, 0.000000], [-0.382685, -0.440879, 0.168599, 0.326676, 0.344652, 0.025958, 0.636063, 0.000000, 0.000000, 0.000000], [-0.412307, 0.384242, 0.019741, -0.036041, 0.500774, 0.600042, -0.264286, 0.000000, 0.000000, 0.000000], [-0.374385, 0.590070, 0.485754, 0.152014, -0.406523, -0.212021, 0.205851, 0.000000, 0.000000, 0.000000]]
fourier: [[15.737621, 19.279947, 19.940792, 21.290246, 100.534427], [18.278297, 18.744982, 18.773845, 23.779524, 122.480252], [10.264510, 10.782748, 12.729471, 13.608030, 52.068467], [33.240622, 33.934501, 34.169331, 38.714300, 83.381810], [20.632792, 24.818221, 26.338673, 28.234341, 157.877466], [22.451312, 23.175506, 26.065282, 28.625908, 36.671302], [25.667371, 27.310353, 30.360111, 30.535292, 40.557555]]
### 2
mean: [0.712163, 0.353967, 0.162468, 0.734363, -1.327384, -0.993790, 1.184569]
std: [1.233536, 1.133161, 1.185601, 0.603175, 0.741143, 0.463061, 1.425588]
pca: [[0.505086, 0.145382, -0.630335, 0.286213, -0.489031, 0.068361, 0.026237, 0.000000, 0.000000, 0.000000], [0.467940, 0.043143, 0.657037, -0.096573, -0.361634, 0.163393, 0.425053, 0.000000, 0.000000, 0.000000], [-0.327404, 0.713811, 0.155948, 0.444864, -0.011405, 0.400846, -0.015791, 0.000000, 0.000000, 0.000000], [-0.187168, 0.302191, -0.355241, -0.473989, 0.115943, 0.004652, 0.713669, 0.000000, 0.000000, 0.000000], [-0.123710, -0.547198, -0.133827, 0.151046, 0.089367, 0.768769, 0.213431, 0.000000, 0.000000, 0.000000], [-0.138959, -0.221662, 0.043702, 0.670498, 0.090282, -0.457129, 0.512798, 0.000000, 0.000000, 0.000000], [0.590831, 0.166122, -0.025381, 0.117496, 0.774829, 0.089206, 0.023553, 0.000000, 0.000000, 0.000000]]
fourier: [[19.157650, 20.521863, 22.179249, 23.206583, 64.094696], [18.460007, 19.187610, 19.188971, 21.478511, 31.857054], [19.399150, 19.428809, 19.912236, 21.378705, 27.048355], [9.305882, 11.129892, 11.273197, 13.165744, 66.092700], [13.391829, 14.333189, 14.549420, 14.876862, 119.464533], [6.864140, 7.403173, 8.113606, 9.004953, 89.441117], [22.788153, 23.823009, 24.730362, 26.033448, 106.611209]]
### 4
mean: [1.070619, 0.694140, 0.406413, 0.385547, -0.295358, 0.183043, 0.340023]
std: [2.084334, 1.076062, 0.397849, 1.354205, 0.535450, 0.822666, 0.518235]
pca: [[0.721327, 0.405305, 0.310303, -0.087753, 0.210004, 0.132839, -0.386884, 0.000000, 0.000000, 0.000000], [-0.345207, 0.592207, 0.183532, -0.458970, -0.513541, -0.117408, -0.090980, 0.000000, 0.000000, 0.000000], [-0.126716, -0.172256, 0.659289, 0.568396, -0.383550, 0.129831, -0.180464, 0.000000, 0.000000, 0.000000], [0.472512, 0.112144, -0.138041, 0.118472, -0.507123, 0.206791, 0.656604, 0.000000, 0.000000, 0.000000], [-0.155178, 0.396762, -0.561014, 0.477215, -0.090319, 0.381290, -0.349984, 0.000000, 0.000000, 0.000000], [-0.257249, 0.507427, 0.280629, 0.276005, 0.518473, 0.018574, 0.502246, 0.000000, 0.000000, 0.000000], [-0.175892, -0.166940, 0.151065, -0.374998, 0.104487, 0.873626, 0.060070, 0.000000, 0.000000, 0.000000]]
fourier: [[33.239979, 33.910173, 36.273712, 43.836417, 96.355748], [18.111186, 19.765690, 19.774748, 24.360285, 62.472602], [6.791825, 7.461507, 7.520578, 7.729516, 36.577155], [21.719994, 22.356910, 22.489982, 29.390271, 34.699201], [9.415913, 9.860722, 10.816227, 11.141635, 26.582186], [14.196738, 15.053830, 15.448382, 16.473842, 18.111684], [8.051867, 8.539277, 8.957243, 10.692348, 30.602101]]
### 6
mean: [0.173956, 0.281446, 0.117871, -0.840675, -0.682542, -0.816431, 0.334588]
std: [2.360214, 2.541870, 1.211011, 0.388907, 0.771779, 0.666133, 1.569700]
pca: [[0.574510, 0.290782, -0.428020, -0.204605, 0.566281, -0.197234, 0.027275, 0.000000, 0.000000, 0.000000], [0.620400, -0.066365, -0.065549, 0.615758, -0.445893, -0.044980, 0.162485, 0.000000, 0.000000, 0.000000], [0.295253, 0.088145, -0.150876, -0.601103, -0.489537, 0.525464, -0.072169, 0.000000, 0.000000, 0.000000], [0.031780, 0.604396, 0.422219, 0.251634, 0.249213, 0.546381, 0.177388, 0.000000, 0.000000, 0.000000], [-0.177571, 0.426880, -0.022415, -0.214957, -0.313771, -0.423128, 0.679738, 0.000000, 0.000000, 0.000000], [-0.136879, 0.595354, -0.141858, 0.138143, -0.282859, -0.260269, -0.663220, 0.000000, 0.000000, 0.000000], [0.382871, -0.036107, 0.768663, -0.298402, -0.017028, -0.371017, -0.185137, 0.000000, 0.000000, 0.000000]]
fourier: [[37.092710, 39.185287, 39.203029, 40.964552, 52.138316], [40.386178, 40.862781, 42.288592, 42.529765, 55.207436], [19.158882, 19.791610, 20.164498, 20.658646, 26.824152], [6.179428, 6.868609, 7.264712, 7.813635, 75.660766], [12.932244, 13.112823, 14.154754, 14.487424, 61.428778], [10.634489, 10.881608, 11.003556, 14.139191, 73.478758], [25.062082, 26.174246, 26.608866, 30.112919, 34.843362]]
### 8
mean: [-1.819295]
std: [3.103746]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.250882, 52.123894, 58.445471, 60.628220, 163.736531]]
## 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:
{
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],
[
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[
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0.198684,
-0.274565
],
[
-0.765197,
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0.640363,
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0.474435
],
[
0.265755,
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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.4.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: [1.117049, -1.360892, 0.578538, 0.926464, -1.754194, 0.407459, 0.257984]
std: [1.063236, 1.150852, 0.701374, 2.034251, 1.439550, 1.406440, 1.704272]
pca: [[0.252574, 0.318700, -0.333566, -0.314022, -0.137116, 0.376180, 0.681505, 0.000000, 0.000000, 0.000000], [0.089706, -0.340835, 0.669909, -0.520044, -0.166839, 0.358381, -0.016979, 0.000000, 0.000000, 0.000000], [0.103292, -0.155726, -0.040237, 0.621446, -0.490443, 0.569416, -0.111787, 0.000000, 0.000000, 0.000000], [0.678882, 0.260407, 0.416611, 0.337084, 0.421910, -0.011815, 0.077262, 0.000000, 0.000000, 0.000000], [-0.382685, -0.440879, 0.168599, 0.326676, 0.344652, 0.025958, 0.636063, 0.000000, 0.000000, 0.000000], [-0.412307, 0.384242, 0.019741, -0.036041, 0.500774, 0.600042, -0.264286, 0.000000, 0.000000, 0.000000], [-0.374385, 0.590070, 0.485754, 0.152014, -0.406523, -0.212021, 0.205851, 0.000000, 0.000000, 0.000000]]
fourier: [[15.737621, 19.279947, 19.940792, 21.290246, 100.534427], [18.278297, 18.744982, 18.773845, 23.779524, 122.480252], [10.264510, 10.782748, 12.729471, 13.608030, 52.068467], [33.240622, 33.934501, 34.169331, 38.714300, 83.381810], [20.632792, 24.818221, 26.338673, 28.234341, 157.877466], [22.451312, 23.175506, 26.065282, 28.625908, 36.671302], [25.667371, 27.310353, 30.360111, 30.535292, 40.557555]]
### 2
mean: [0.712163, 0.353967, 0.162468, 0.734363, -1.327384, -0.993790, 1.184569]
std: [1.233536, 1.133161, 1.185601, 0.603175, 0.741143, 0.463061, 1.425588]
pca: [[0.505086, 0.145382, -0.630335, 0.286213, -0.489031, 0.068361, 0.026237, 0.000000, 0.000000, 0.000000], [0.467940, 0.043143, 0.657037, -0.096573, -0.361634, 0.163393, 0.425053, 0.000000, 0.000000, 0.000000], [-0.327404, 0.713811, 0.155948, 0.444864, -0.011405, 0.400846, -0.015791, 0.000000, 0.000000, 0.000000], [-0.187168, 0.302191, -0.355241, -0.473989, 0.115943, 0.004652, 0.713669, 0.000000, 0.000000, 0.000000], [-0.123710, -0.547198, -0.133827, 0.151046, 0.089367, 0.768769, 0.213431, 0.000000, 0.000000, 0.000000], [-0.138959, -0.221662, 0.043702, 0.670498, 0.090282, -0.457129, 0.512798, 0.000000, 0.000000, 0.000000], [0.590831, 0.166122, -0.025381, 0.117496, 0.774829, 0.089206, 0.023553, 0.000000, 0.000000, 0.000000]]
fourier: [[19.157650, 20.521863, 22.179249, 23.206583, 64.094696], [18.460007, 19.187610, 19.188971, 21.478511, 31.857054], [19.399150, 19.428809, 19.912236, 21.378705, 27.048355], [9.305882, 11.129892, 11.273197, 13.165744, 66.092700], [13.391829, 14.333189, 14.549420, 14.876862, 119.464533], [6.864140, 7.403173, 8.113606, 9.004953, 89.441117], [22.788153, 23.823009, 24.730362, 26.033448, 106.611209]]
### 4
mean: [1.070619, 0.694140, 0.406413, 0.385547, -0.295358, 0.183043, 0.340023]
std: [2.084334, 1.076062, 0.397849, 1.354205, 0.535450, 0.822666, 0.518235]
pca: [[0.721327, 0.405305, 0.310303, -0.087753, 0.210004, 0.132839, -0.386884, 0.000000, 0.000000, 0.000000], [-0.345207, 0.592207, 0.183532, -0.458970, -0.513541, -0.117408, -0.090980, 0.000000, 0.000000, 0.000000], [-0.126716, -0.172256, 0.659289, 0.568396, -0.383550, 0.129831, -0.180464, 0.000000, 0.000000, 0.000000], [0.472512, 0.112144, -0.138041, 0.118472, -0.507123, 0.206791, 0.656604, 0.000000, 0.000000, 0.000000], [-0.155178, 0.396762, -0.561014, 0.477215, -0.090319, 0.381290, -0.349984, 0.000000, 0.000000, 0.000000], [-0.257249, 0.507427, 0.280629, 0.276005, 0.518473, 0.018574, 0.502246, 0.000000, 0.000000, 0.000000], [-0.175892, -0.166940, 0.151065, -0.374998, 0.104487, 0.873626, 0.060070, 0.000000, 0.000000, 0.000000]]
fourier: [[33.239979, 33.910173, 36.273712, 43.836417, 96.355748], [18.111186, 19.765690, 19.774748, 24.360285, 62.472602], [6.791825, 7.461507, 7.520578, 7.729516, 36.577155], [21.719994, 22.356910, 22.489982, 29.390271, 34.699201], [9.415913, 9.860722, 10.816227, 11.141635, 26.582186], [14.196738, 15.053830, 15.448382, 16.473842, 18.111684], [8.051867, 8.539277, 8.957243, 10.692348, 30.602101]]
### 6
mean: [0.173956, 0.281446, 0.117871, -0.840675, -0.682542, -0.816431, 0.334588]
std: [2.360214, 2.541870, 1.211011, 0.388907, 0.771779, 0.666133, 1.569700]
pca: [[0.574510, 0.290782, -0.428020, -0.204605, 0.566281, -0.197234, 0.027275, 0.000000, 0.000000, 0.000000], [0.620400, -0.066365, -0.065549, 0.615758, -0.445893, -0.044980, 0.162485, 0.000000, 0.000000, 0.000000], [0.295253, 0.088145, -0.150876, -0.601103, -0.489537, 0.525464, -0.072169, 0.000000, 0.000000, 0.000000], [0.031780, 0.604396, 0.422219, 0.251634, 0.249213, 0.546381, 0.177388, 0.000000, 0.000000, 0.000000], [-0.177571, 0.426880, -0.022415, -0.214957, -0.313771, -0.423128, 0.679738, 0.000000, 0.000000, 0.000000], [-0.136879, 0.595354, -0.141858, 0.138143, -0.282859, -0.260269, -0.663220, 0.000000, 0.000000, 0.000000], [0.382871, -0.036107, 0.768663, -0.298402, -0.017028, -0.371017, -0.185137, 0.000000, 0.000000, 0.000000]]
fourier: [[37.092710, 39.185287, 39.203029, 40.964552, 52.138316], [40.386178, 40.862781, 42.288592, 42.529765, 55.207436], [19.158882, 19.791610, 20.164498, 20.658646, 26.824152], [6.179428, 6.868609, 7.264712, 7.813635, 75.660766], [12.932244, 13.112823, 14.154754, 14.487424, 61.428778], [10.634489, 10.881608, 11.003556, 14.139191, 73.478758], [25.062082, 26.174246, 26.608866, 30.112919, 34.843362]]
### 8
mean: [-1.819295]
std: [3.103746]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.250882, 52.123894, 58.445471, 60.628220, 163.736531]]
## 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": [[-0.194842, 0.200788, 0.177241, 0.095995, 0.451468], [-0.111496, -0.415406, -0.302291, 0.111244, -0.005249], [-0.146954, -0.055922, 0.18113, 0.198684, -0.274565], [-0.765197, -0.258814, 0.640363, 0.18741, 0.474435], [0.265755, -0.061037, -0.313554, -0.189459, -0.594359], [0.566377, 0.029436, -0.000477, -0.35181, 0.037963], [0.749254, -0.405845, 0.214537, -0.137345, 0.062994]], "network.0.bias": [-0.139265, -0.065809, 0.397519, 0.025652, -0.179381, 0.357608, -0.166188], "network.2.weight": [[0.517007, 0.276449, -0.010877, 0.403808, -0.576459, -0.334237, -0.106519], [0.03966, 0.37131, 0.012588, 0.61575, 0.355577, -0.475297, 0.059646], [0.08744, -0.435878, -0.596691, -0.071619, -0.396306, 0.444734, 0.384114], [0.242279, -0.361584, 0.126752, -0.236551, 0.055097, 0.252753, 0.191606], [-0.304096, -0.192408, 0.124217, -0.278845, 0.165488, -0.058523, -0.269326], [-0.2659, 0.214328, -0.260561, -0.123359, -0.152626, 0.116016, -0.198869], [0.362034, -0.068869, 0.051722, 0.662264, -0.411772, -0.236317, -0.174686]], "network.2.bias": [-0.079942, -0.231751, -0.057434, 0.361641, -0.437873, -0.288636, 0.160695], "network.4.weight": [[0.593443, 0.592548, -0.393486, -0.323687, -0.227591, -0.284642, 0.560636], [0.079084, -0.149872, 0.623919, 0.442432, 0.24407, 0.357915, -0.26174], [0.265703, -0.322088, -0.102786, 0.192417, 0.145897, -0.247573, -0.277192], [0.309544, 0.411667, -0.210023, -0.5056, 0.081761, 0.092898, 0.316115], [0.206909, 0.344015, 0.536156, -0.10198, -0.31671, -0.112554, -0.493553], [0.341193, 0.052277, 0.425359, 0.461677, 0.112874, 0.299648, -0.480969], [-0.28993, -0.311085, -0.034371, 0.234445, 0.269281, -0.099263, 0.071593]], "network.4.bias": [-0.145875, 0.419121, 0.645698, -0.096216, -0.258341, -0.088001, 0.556119], "network.6.weight": [[0.614729, -0.465562, -0.252651, 0.366828, -0.490615, -0.506624, -0.660211], [0.606538, -0.26256, -0.800354, 0.65787, -0.490139, -0.55592, -0.406047], [0.463307, -0.631998, -0.077774, 0.003129, -0.277545, 0.260042, 0.047517], [-0.321728, -0.241285, -0.074506, 0.349545, -0.338782, -0.206382, 0.13114], [-0.211029, -0.25529, 0.199636, -0.327253, 0.045079, 0.2119, 0.341537], [-0.209527, -0.210216, -0.033528, -0.33804, -0.100816, -0.00187, 0.292143], [0.241593, -0.361291, -0.246481, 0.749532, -0.477818, -0.097708, 0.083028]], "network.6.bias": [0.063639, -0.035755, -0.094454, -0.354639, -0.269866, -0.20217, -0.104306], "network.8.weight": [[-0.69667, -0.744815, -0.25299, -0.114144, -0.257222, 0.279554, -0.535968]], "network.8.bias": [0.424402]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6764356195926666, "train_acc": 0.575, "val_loss": 0.6807981729507446, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.62421715259552, "train_acc": 0.575, "val_loss": 0.5912052989006042, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5948998034000397, "train_acc": 0.505, "val_loss": 0.5004795789718628, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5009799152612686, "train_acc": 0.565, "val_loss": 0.494933158159256, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5042314529418945, "train_acc": 0.835, "val_loss": 0.5233118534088135, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4933387041091919, "train_acc": 0.815, "val_loss": 0.41626492142677307, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.43485569953918457, "train_acc": 0.825, "val_loss": 0.38072219491004944, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3760375678539276, "train_acc": 0.875, "val_loss": 0.3800085783004761, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.34500887989997864, "train_acc": 0.88, "val_loss": 0.3759366273880005, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.34917019307613373, "train_acc": 0.88, "val_loss": 0.36670589447021484, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.34729887545108795, "train_acc": 0.88, "val_loss": 0.35205087065696716, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.3358288109302521, "train_acc": 0.885, "val_loss": 0.32933053374290466, "val_acc": 0.88}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6807981729507446, "final_val_loss": 0.5912052989006042, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5004795789718628, "final_val_loss": 0.32933053374290466, "initial_val_acc": 0.48, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 7}, "improvement": 0.4, "first_improvement_epoch": 1}}
|
9,670
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.52, "improved_accuracy": 0.92, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7591, "learning_rate": 0.08340849150363401, "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": [
[
-0.131466,
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-0.15037,
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}
## Activation Signature
### 0
mean: [-2.255167, 1.898846, -1.824341, -0.550763, 1.283285, 2.021680]
std: [1.501616, 1.617746, 0.988052, 1.095238, 2.215637, 1.997327]
pca: [[-0.379409, -0.419992, 0.108656, 0.270044, 0.688848, 0.347007, 0.000000, 0.000000, 0.000000, 0.000000], [-0.046835, 0.748654, -0.009137, 0.604664, 0.246979, -0.103067, 0.000000, 0.000000, 0.000000, 0.000000], [-0.118684, -0.377067, -0.027666, 0.704256, -0.587634, 0.040982, 0.000000, 0.000000, 0.000000, 0.000000], [-0.026646, -0.021754, 0.957227, 0.006328, -0.037997, -0.284691, 0.000000, 0.000000, 0.000000, 0.000000], [0.666428, -0.336126, -0.126637, 0.240994, 0.340815, -0.502616, 0.000000, 0.000000, 0.000000, 0.000000], [0.628437, 0.086543, 0.234572, 0.085807, -0.039720, 0.730488, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.101100, 24.958648, 30.096276, 30.929864, 202.965071], [25.044668, 26.544122, 32.300289, 35.414398, 170.896140], [14.311085, 15.775484, 17.421975, 20.786283, 164.190718], [16.990028, 18.120159, 20.427858, 21.169235, 49.568636], [33.216076, 35.384160, 35.972155, 40.451312, 115.495702], [28.578063, 31.638502, 32.222244, 37.263093, 181.951191]]
### 2
mean: [-1.570394, -0.560398, -1.574625, -0.465936, 0.550101, 0.927629]
std: [0.964645, 0.176756, 0.781222, 0.422192, 2.079392, 0.785004]
pca: [[-0.351786, 0.480467, -0.178778, 0.369124, 0.689164, 0.047300, 0.000000, 0.000000, 0.000000, 0.000000], [-0.007628, 0.150735, -0.244099, -0.269102, -0.090960, 0.914848, 0.000000, 0.000000, 0.000000, 0.000000], [0.151141, 0.677189, -0.189227, 0.316874, -0.605008, -0.127752, 0.000000, 0.000000, 0.000000, 0.000000], [-0.095198, 0.195914, 0.923085, 0.174036, -0.056696, 0.258778, 0.000000, 0.000000, 0.000000, 0.000000], [0.883996, -0.043277, 0.018177, 0.320889, 0.304371, 0.144003, 0.000000, 0.000000, 0.000000, 0.000000], [-0.250666, -0.497585, -0.142236, 0.746769, -0.234282, 0.238311, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.945150, 15.096482, 15.977206, 17.301043, 141.335465], [2.692709, 2.931505, 3.123352, 3.682906, 50.435830], [11.786044, 12.887636, 15.131837, 16.715352, 141.716211], [6.527924, 6.619505, 7.354914, 7.872233, 41.934230], [31.421437, 33.241472, 36.488875, 39.932554, 49.509059], [12.714920, 14.082338, 15.780060, 16.984220, 83.486559]]
### 4
mean: [0.059940, 0.257749, 0.745084, 0.185845, -0.675588, 0.817386]
std: [0.857636, 1.214164, 1.540809, 1.219000, 0.365266, 0.287277]
pca: [[-0.343250, -0.165556, -0.092615, 0.014179, 0.815202, 0.425955, 0.000000, 0.000000, 0.000000, 0.000000], [0.485743, 0.231572, -0.598412, -0.567686, 0.163924, 0.056498, 0.000000, 0.000000, 0.000000, 0.000000], [0.617267, -0.038238, -0.088271, 0.650048, 0.004767, 0.432600, 0.000000, 0.000000, 0.000000, 0.000000], [0.487650, -0.214579, 0.718635, -0.353708, 0.270254, -0.039625, 0.000000, 0.000000, 0.000000, 0.000000], [-0.144984, -0.217339, 0.078825, -0.360327, -0.482115, 0.750507, 0.000000, 0.000000, 0.000000, 0.000000], [-0.079946, 0.907867, 0.320754, 0.004904, 0.055506, 0.251787, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.099920, 12.171569, 15.656056, 16.500773, 16.501886], [17.273625, 21.838837, 23.174436, 23.197376, 23.793377], [22.044031, 27.259671, 29.918978, 30.200486, 67.057520], [17.422625, 17.446329, 21.438928, 23.599805, 24.020463], [5.346420, 6.828107, 6.883289, 6.914248, 60.802899], [4.595832, 5.253922, 5.372908, 6.313282, 73.564753]]
### 6
mean: [-0.688051, -0.658344, -0.681107, 0.923787, 1.490924, 0.633269]
std: [0.372868, 1.362605, 0.654110, 0.343055, 2.326055, 0.263264]
pca: [[-0.131088, -0.151222, 0.330553, -0.437965, 0.608333, 0.537402, 0.000000, 0.000000, 0.000000, 0.000000], [-0.483014, 0.321484, -0.340294, 0.585869, 0.249689, 0.376774, 0.000000, 0.000000, 0.000000, 0.000000], [-0.231214, -0.199741, -0.497532, -0.429066, -0.528659, 0.442185, 0.000000, 0.000000, 0.000000, 0.000000], [-0.076413, 0.798408, -0.179194, -0.507044, 0.118559, -0.231182, 0.000000, 0.000000, 0.000000, 0.000000], [0.826826, 0.219513, -0.237102, 0.115929, 0.054379, 0.442220, 0.000000, 0.000000, 0.000000, 0.000000], [-0.081074, 0.385022, 0.662623, 0.101555, -0.520666, 0.353142, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.913919, 6.249773, 6.283057, 6.929005, 61.924618], [19.694267, 23.794730, 25.227394, 25.685692, 59.250931], [10.815562, 11.008678, 11.268228, 12.611544, 61.299626], [5.127180, 6.591591, 6.696492, 7.553078, 83.140814], [36.234326, 41.125522, 41.441412, 42.804113, 134.183179], [3.968038, 4.698885, 5.263215, 5.629461, 56.994178]]
### 8
mean: [-1.186071, -1.055547, 0.864353, -0.544672, 0.573728, -1.320432]
std: [1.343379, 0.430722, 0.496925, 0.572779, 1.795265, 1.230552]
pca: [[-0.498461, -0.365280, -0.371436, -0.494619, -0.196114, 0.443885, 0.000000, 0.000000, 0.000000, 0.000000], [-0.155225, -0.370804, 0.348407, 0.039067, 0.817601, 0.216850, 0.000000, 0.000000, 0.000000, 0.000000], [-0.178075, 0.464743, -0.033327, 0.502626, -0.020048, 0.705803, 0.000000, 0.000000, 0.000000, 0.000000], [-0.210025, 0.330409, 0.768053, -0.450750, -0.217142, 0.080542, 0.000000, 0.000000, 0.000000, 0.000000], [0.666519, -0.442762, 0.242421, 0.004414, -0.299649, 0.459497, 0.000000, 0.000000, 0.000000, 0.000000], [-0.455382, -0.455939, 0.301434, 0.545892, -0.394621, -0.200399, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.842453, 22.706858, 23.165962, 25.160417, 106.746363], [6.761544, 6.763385, 7.257966, 8.278617, 94.999183], [7.209391, 8.217765, 9.648184, 10.031592, 77.791761], [8.368310, 10.091179, 10.792887, 11.180984, 49.020479], [26.923358, 32.411085, 32.972857, 33.346436, 51.635546], [20.015997, 20.405449, 20.917792, 23.261218, 118.838893]]
### 10
mean: [-0.404215]
std: [0.863771]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.527973, 15.290000, 15.561843, 15.734293, 36.379320]]
## 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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-0.332425,
-0.093201
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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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[
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[
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],
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],
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"network.10.bias": [
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}
## Activation Signature
### 0
mean: [-2.255167, 1.898846, -1.824341, -0.550763, 1.283285, 2.021680]
std: [1.501616, 1.617746, 0.988052, 1.095238, 2.215637, 1.997327]
pca: [[-0.379409, -0.419992, 0.108656, 0.270044, 0.688848, 0.347007, 0.000000, 0.000000, 0.000000, 0.000000], [-0.046835, 0.748654, -0.009137, 0.604664, 0.246979, -0.103067, 0.000000, 0.000000, 0.000000, 0.000000], [-0.118684, -0.377067, -0.027666, 0.704256, -0.587634, 0.040982, 0.000000, 0.000000, 0.000000, 0.000000], [-0.026646, -0.021754, 0.957227, 0.006328, -0.037997, -0.284691, 0.000000, 0.000000, 0.000000, 0.000000], [0.666428, -0.336126, -0.126637, 0.240994, 0.340815, -0.502616, 0.000000, 0.000000, 0.000000, 0.000000], [0.628437, 0.086543, 0.234572, 0.085807, -0.039720, 0.730488, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.101100, 24.958648, 30.096276, 30.929864, 202.965071], [25.044668, 26.544122, 32.300289, 35.414398, 170.896140], [14.311085, 15.775484, 17.421975, 20.786283, 164.190718], [16.990028, 18.120159, 20.427858, 21.169235, 49.568636], [33.216076, 35.384160, 35.972155, 40.451312, 115.495702], [28.578063, 31.638502, 32.222244, 37.263093, 181.951191]]
### 2
mean: [-1.570394, -0.560398, -1.574625, -0.465936, 0.550101, 0.927629]
std: [0.964645, 0.176756, 0.781222, 0.422192, 2.079392, 0.785004]
pca: [[-0.351786, 0.480467, -0.178778, 0.369124, 0.689164, 0.047300, 0.000000, 0.000000, 0.000000, 0.000000], [-0.007628, 0.150735, -0.244099, -0.269102, -0.090960, 0.914848, 0.000000, 0.000000, 0.000000, 0.000000], [0.151141, 0.677189, -0.189227, 0.316874, -0.605008, -0.127752, 0.000000, 0.000000, 0.000000, 0.000000], [-0.095198, 0.195914, 0.923085, 0.174036, -0.056696, 0.258778, 0.000000, 0.000000, 0.000000, 0.000000], [0.883996, -0.043277, 0.018177, 0.320889, 0.304371, 0.144003, 0.000000, 0.000000, 0.000000, 0.000000], [-0.250666, -0.497585, -0.142236, 0.746769, -0.234282, 0.238311, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.945150, 15.096482, 15.977206, 17.301043, 141.335465], [2.692709, 2.931505, 3.123352, 3.682906, 50.435830], [11.786044, 12.887636, 15.131837, 16.715352, 141.716211], [6.527924, 6.619505, 7.354914, 7.872233, 41.934230], [31.421437, 33.241472, 36.488875, 39.932554, 49.509059], [12.714920, 14.082338, 15.780060, 16.984220, 83.486559]]
### 4
mean: [0.059940, 0.257749, 0.745084, 0.185845, -0.675588, 0.817386]
std: [0.857636, 1.214164, 1.540809, 1.219000, 0.365266, 0.287277]
pca: [[-0.343250, -0.165556, -0.092615, 0.014179, 0.815202, 0.425955, 0.000000, 0.000000, 0.000000, 0.000000], [0.485743, 0.231572, -0.598412, -0.567686, 0.163924, 0.056498, 0.000000, 0.000000, 0.000000, 0.000000], [0.617267, -0.038238, -0.088271, 0.650048, 0.004767, 0.432600, 0.000000, 0.000000, 0.000000, 0.000000], [0.487650, -0.214579, 0.718635, -0.353708, 0.270254, -0.039625, 0.000000, 0.000000, 0.000000, 0.000000], [-0.144984, -0.217339, 0.078825, -0.360327, -0.482115, 0.750507, 0.000000, 0.000000, 0.000000, 0.000000], [-0.079946, 0.907867, 0.320754, 0.004904, 0.055506, 0.251787, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.099920, 12.171569, 15.656056, 16.500773, 16.501886], [17.273625, 21.838837, 23.174436, 23.197376, 23.793377], [22.044031, 27.259671, 29.918978, 30.200486, 67.057520], [17.422625, 17.446329, 21.438928, 23.599805, 24.020463], [5.346420, 6.828107, 6.883289, 6.914248, 60.802899], [4.595832, 5.253922, 5.372908, 6.313282, 73.564753]]
### 6
mean: [-0.688051, -0.658344, -0.681107, 0.923787, 1.490924, 0.633269]
std: [0.372868, 1.362605, 0.654110, 0.343055, 2.326055, 0.263264]
pca: [[-0.131088, -0.151222, 0.330553, -0.437965, 0.608333, 0.537402, 0.000000, 0.000000, 0.000000, 0.000000], [-0.483014, 0.321484, -0.340294, 0.585869, 0.249689, 0.376774, 0.000000, 0.000000, 0.000000, 0.000000], [-0.231214, -0.199741, -0.497532, -0.429066, -0.528659, 0.442185, 0.000000, 0.000000, 0.000000, 0.000000], [-0.076413, 0.798408, -0.179194, -0.507044, 0.118559, -0.231182, 0.000000, 0.000000, 0.000000, 0.000000], [0.826826, 0.219513, -0.237102, 0.115929, 0.054379, 0.442220, 0.000000, 0.000000, 0.000000, 0.000000], [-0.081074, 0.385022, 0.662623, 0.101555, -0.520666, 0.353142, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.913919, 6.249773, 6.283057, 6.929005, 61.924618], [19.694267, 23.794730, 25.227394, 25.685692, 59.250931], [10.815562, 11.008678, 11.268228, 12.611544, 61.299626], [5.127180, 6.591591, 6.696492, 7.553078, 83.140814], [36.234326, 41.125522, 41.441412, 42.804113, 134.183179], [3.968038, 4.698885, 5.263215, 5.629461, 56.994178]]
### 8
mean: [-1.186071, -1.055547, 0.864353, -0.544672, 0.573728, -1.320432]
std: [1.343379, 0.430722, 0.496925, 0.572779, 1.795265, 1.230552]
pca: [[-0.498461, -0.365280, -0.371436, -0.494619, -0.196114, 0.443885, 0.000000, 0.000000, 0.000000, 0.000000], [-0.155225, -0.370804, 0.348407, 0.039067, 0.817601, 0.216850, 0.000000, 0.000000, 0.000000, 0.000000], [-0.178075, 0.464743, -0.033327, 0.502626, -0.020048, 0.705803, 0.000000, 0.000000, 0.000000, 0.000000], [-0.210025, 0.330409, 0.768053, -0.450750, -0.217142, 0.080542, 0.000000, 0.000000, 0.000000, 0.000000], [0.666519, -0.442762, 0.242421, 0.004414, -0.299649, 0.459497, 0.000000, 0.000000, 0.000000, 0.000000], [-0.455382, -0.455939, 0.301434, 0.545892, -0.394621, -0.200399, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.842453, 22.706858, 23.165962, 25.160417, 106.746363], [6.761544, 6.763385, 7.257966, 8.278617, 94.999183], [7.209391, 8.217765, 9.648184, 10.031592, 77.791761], [8.368310, 10.091179, 10.792887, 11.180984, 49.020479], [26.923358, 32.411085, 32.972857, 33.346436, 51.635546], [20.015997, 20.405449, 20.917792, 23.261218, 118.838893]]
### 10
mean: [-0.404215]
std: [0.863771]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.527973, 15.290000, 15.561843, 15.734293, 36.379320]]
## 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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"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": [[-0.131466, -0.482896, -0.15037, -0.332425, -0.093201], [0.356432, 0.089443, -0.265047, 0.116961, 0.722849], [-0.18913, -0.026382, -0.244184, -0.216413, -0.174431], [0.173173, -0.523786, -0.102561, 0.464968, -0.173768], [-0.593572, 0.809838, 0.263795, 0.361519, -0.485508], [-0.217571, 0.596572, 0.18927, 0.616513, -0.245728]], "network.0.bias": [-0.069698, 0.703623, -0.351615, -0.380358, -0.181254, -0.209027], "network.2.weight": [[-0.043055, -0.050307, -0.311024, -0.268904, -0.367326, -0.174992], [-0.327656, -0.059536, -0.116043, -0.051401, 0.048884, -0.101208], [-0.239036, -0.543243, 0.117337, -0.011015, -0.165437, 0.083464], [0.015457, -0.072317, 0.026564, 0.449019, -0.275961, 0.072403], [-0.075, -0.667042, 0.403861, 0.319662, 0.368644, 0.576818], [-0.308581, 0.428915, 0.178049, -0.435961, -0.126544, 0.040838]], "network.2.bias": [-0.451469, -0.297134, -0.435153, -0.14016, -0.05062, 0.314988], "network.4.weight": [[-0.039282, 0.0164, -0.102037, 0.257732, -0.478778, 0.266779], [0.125858, 0.129442, 0.108024, 0.199271, 0.680006, -0.364079], [0.148798, 0.017873, 0.06198, -0.202652, 0.816419, -0.590673], [-0.33719, 0.186231, 0.023037, -0.734071, 0.61691, -0.545821], [-0.090938, 0.280023, -0.148074, 0.045756, -0.22268, 0.059478], [-0.854443, 0.386206, 0.333728, -0.384314, 0.015505, 0.382044]], "network.4.bias": [0.337489, -0.163483, 0.393916, 0.027463, -0.484065, 0.449904], "network.6.weight": [[0.092652, 0.152178, -0.03246, -0.530911, 0.218656, -0.225403], [0.038447, -0.417127, -0.693881, 0.05007, 0.4575, 0.437438], [0.173565, -0.596561, 0.141935, -0.284371, -0.107322, -0.205197], [0.390289, 0.019179, 0.05554, -0.093193, -0.249892, 0.778764], [-0.355279, 0.849786, 0.610342, 0.725293, 0.256328, 0.331008], [0.300822, -0.091288, -0.116141, 0.14173, 0.035613, 0.228711]], "network.6.bias": [-0.295716, -0.133834, -0.197482, 0.125143, -0.161647, 0.417641], "network.8.weight": [[0.123134, -0.339557, -0.186548, -0.141985, -0.607882, 0.040052], [0.053314, 0.021153, 0.331437, -0.332741, -0.219927, -0.094292], [0.08168, 0.236991, 0.448454, 0.247275, -0.146512, 0.282459], [-0.397371, 0.634336, 0.386402, -0.074376, -0.200732, 0.213907], [-0.115868, -0.162499, -0.34428, -0.24561, 0.702429, -0.472781], [-0.595044, 0.000459, 0.102067, -0.391089, -0.571821, -0.041243]], "network.8.bias": [-0.094429, -0.355224, 0.642758, -0.407398, 0.051167, -0.057744], "network.10.weight": [[0.113159, -0.280127, -0.41803, 0.254665, 0.444441, 0.13448]], "network.10.bias": [-0.454877]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.690424919128418, "train_acc": 0.585, "val_loss": 0.7420058250427246, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6802047193050385, "train_acc": 0.585, "val_loss": 0.6706804633140564, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.653968334197998, "train_acc": 0.585, "val_loss": 0.45703238248825073, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6280053555965424, "train_acc": 0.69, "val_loss": 0.45437973737716675, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5797813534736633, "train_acc": 0.745, "val_loss": 0.33322978019714355, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.49131983518600464, "train_acc": 0.79, "val_loss": 0.44337204098701477, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4855288714170456, "train_acc": 0.75, "val_loss": 0.2908270061016083, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.5136561989784241, "train_acc": 0.8, "val_loss": 0.2756720781326294, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.42040079832077026, "train_acc": 0.8, "val_loss": 0.34706228971481323, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.47973182797431946, "train_acc": 0.81, "val_loss": 0.3886924684047699, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.41846826672554016, "train_acc": 0.81, "val_loss": 0.3090360760688782, "val_acc": 0.92}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.7420058250427246, "final_val_loss": 0.6706804633140564, "initial_val_acc": 0.46, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.45703238248825073, "final_val_loss": 0.3090360760688782, "initial_val_acc": 0.86, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 4}, "improvement": 0.4, "first_improvement_epoch": 1}}
|
9,671
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.54, "improved_accuracy": 0.8, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4687, "learning_rate": 0.04856416249939186, "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: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.746417,
-0.347667,
0.279214,
-0.222687,
0.555584
],
[
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-0.107937,
-0.109872,
0.287485
],
[
0.687942,
-0.212568,
0.051495,
0.073592,
0.765495
],
[
-0.273539,
-0.028538,
0.413495,
0.552487,
-0.843102
],
[
-0.080373,
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]
],
"network.0.bias": [
-0.216854,
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-0.040941,
-0.193519,
-0.562045
],
"network.2.weight": [
[
0.731069,
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0.499885,
-0.382749,
-0.274025
],
[
0.529604,
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0.512248,
0.441389
],
[
-0.309534,
0.699507,
-0.03773,
0.511871,
-0.22019
],
[
-0.691343,
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-0.470992,
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],
[
0.225357,
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0.186145
]
],
"network.2.bias": [
0.391151,
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],
"network.4.weight": [
[
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],
[
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],
[
0.195664,
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0.763099
],
[
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0.107165,
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],
[
0.800161,
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]
],
"network.4.bias": [
-0.200004,
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0.392121
],
"network.6.weight": [
[
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],
[
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],
[
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0.042118,
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],
[
0.007236,
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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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],
[
0.685582,
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],
[
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[
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],
"network.8.bias": [
0.392201,
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],
"network.10.weight": [
[
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],
[
0.626698,
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],
[
0.361486,
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],
[
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],
[
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]
],
"network.10.bias": [
0.566839,
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],
"network.12.weight": [
[
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]
],
"network.12.bias": [
0.118949
]
}
## Activation Signature
### 0
mean: [0.869421, -2.383571, 1.637309, 0.422772, -3.509216]
std: [2.214193, 2.317286, 2.148472, 1.924638, 2.010190]
pca: [[0.561502, 0.174794, 0.115108, 0.750358, -0.279064, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.369218, 0.717153, -0.533557, 0.230813, 0.106832, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.564844, 0.121767, -0.126931, -0.136027, 0.794676, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.314737, -0.610122, -0.287360, 0.558161, 0.366841, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.360952, 0.260889, 0.776775, 0.231607, 0.380300, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.529887, 37.687679, 42.348545, 51.201481, 78.247921], [36.524318, 39.552645, 40.562959, 41.546559, 214.521417], [36.914074, 41.053779, 41.909167, 50.120480, 147.357825], [28.087367, 29.507855, 35.611862, 36.660613, 38.049511], [33.587751, 34.581827, 34.617165, 38.269205, 315.829470]]
### 2
mean: [1.796505, 1.284600, 0.373838, -2.809269, 1.381346]
std: [2.586779, 0.873947, 1.088633, 2.069259, 0.970533]
pca: [[0.722670, -0.354369, 0.000724, -0.193027, 0.561169, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.147854, 0.593501, 0.747684, 0.124942, 0.226392, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.260133, 0.497815, -0.528626, -0.043936, 0.634929, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.559785, -0.523501, 0.337168, 0.261846, 0.479939, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.273602, 0.017508, -0.218724, 0.936289, -0.018947, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.148368, 42.443078, 50.394125, 62.005788, 161.685427], [13.998157, 15.136718, 16.838460, 17.757536, 115.614020], [14.928561, 20.310129, 21.375703, 24.693079, 33.645460], [31.772852, 34.404782, 43.373025, 43.973501, 252.834238], [15.047875, 18.175304, 18.609273, 22.693963, 124.321083]]
### 4
mean: [0.319822, -0.073283, 1.580927, -0.188694, 2.096078]
std: [0.647139, 0.878270, 1.732823, 0.287878, 2.708647]
pca: [[0.015264, 0.911398, 0.116315, 0.038345, 0.392582, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.261073, -0.126123, -0.535363, -0.614817, 0.501319, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.519825, -0.059398, -0.410541, 0.727600, 0.168252, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.012277, -0.381332, 0.593491, 0.134055, 0.695869, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.813166, 0.067113, 0.423182, -0.270478, -0.286385, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.276273, 10.433592, 10.573717, 12.480070, 28.784004], [13.205625, 13.981192, 15.502588, 16.792838, 21.534487], [28.124278, 29.673459, 33.639221, 42.713219, 142.283380], [4.417766, 4.469122, 6.179561, 6.216066, 16.982465], [44.433475, 46.514344, 54.346840, 65.482535, 188.647057]]
### 6
mean: [2.215480, -0.931690, 2.443849, 2.944232, -2.000488]
std: [2.823632, 1.515093, 2.914761, 3.293069, 2.698628]
pca: [[0.463733, 0.665176, -0.400958, -0.235330, -0.355450, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249324, 0.266503, -0.493654, 0.754990, 0.230453, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.480922, -0.155178, -0.278272, -0.209354, 0.789538, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.543254, 0.217462, 0.636391, 0.497941, 0.068164, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.443145, 0.644319, 0.336318, -0.287811, 0.438783, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.778936, 51.832193, 56.588972, 65.439288, 199.393227], [25.202996, 26.373028, 30.911698, 36.793007, 83.852130], [49.096793, 50.559611, 59.147961, 70.148206, 219.946396], [53.874699, 57.907859, 66.656980, 78.054138, 264.980890], [45.099241, 47.370982, 54.462881, 66.186103, 180.043886]]
### 8
mean: [0.189347, 1.933356, 4.861920, -2.247413, -0.872545]
std: [0.087023, 2.791652, 5.745510, 2.202740, 1.699542]
pca: [[-0.009266, -0.097917, 0.847319, 0.180612, -0.489649, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.400737, 0.315472, -0.065300, 0.847914, 0.129093, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.825063, -0.032114, 0.261971, -0.402812, 0.295557, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.315277, 0.755617, 0.359486, -0.167641, 0.415103, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.243302, -0.564714, 0.282715, 0.240956, 0.695639, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.456433, 1.653278, 1.736614, 1.851695, 17.041185], [46.063296, 48.789431, 56.164361, 67.400193, 174.002032], [93.793798, 101.200703, 116.152950, 137.658461, 437.572794], [34.437030, 40.489882, 44.898539, 51.723462, 202.267183], [28.749776, 29.038881, 34.160410, 41.430717, 78.529082]]
### 10
mean: [-2.895733, -3.344642, 3.139620, 0.565144, 4.582866]
std: [4.538963, 4.602821, 3.898057, 1.141040, 5.432839]
pca: [[-0.484454, -0.353240, -0.151707, 0.749952, 0.234695, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.491314, 0.061442, 0.857089, -0.077790, -0.119089, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.416066, 0.233639, 0.348774, 0.205246, 0.780085, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.120925, 0.710293, 0.009002, 0.547604, -0.425336, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.579811, -0.558877, 0.347361, 0.299206, -0.375889, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[73.611279, 80.603495, 91.432715, 109.795061, 260.615981], [74.130958, 82.195632, 93.246039, 110.864261, 301.017800], [63.068818, 69.264522, 78.485211, 94.212054, 282.565747], [19.149815, 19.537000, 22.390325, 28.331796, 50.862957], [86.904980, 97.280093, 110.135385, 129.968622, 412.457906]]
### 12
mean: [-2.109340]
std: [3.285368]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.585485, 57.205337, 65.048277, 79.986161, 189.840638]]
## 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: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.746417,
-0.347667,
0.279214,
-0.222687,
0.555584
],
[
-0.90027,
-0.447155,
-0.107937,
-0.109872,
0.287485
],
[
0.687942,
-0.212568,
0.051495,
0.073592,
0.765495
],
[
-0.273539,
-0.028538,
0.413495,
0.552487,
-0.843102
],
[
-0.080373,
-0.034855,
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-0.540289
]
],
"network.0.bias": [
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-0.341903,
-0.040941,
-0.193519,
-0.562045
],
"network.2.weight": [
[
0.731069,
-0.648567,
0.499885,
-0.382749,
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],
[
0.529604,
0.119362,
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0.512248,
0.441389
],
[
-0.309534,
0.699507,
-0.03773,
0.511871,
-0.22019
],
[
-0.691343,
-0.292708,
-0.470992,
-0.453262,
-0.147309
],
[
0.225357,
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0.287108,
0.012212,
0.186145
]
],
"network.2.bias": [
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0.342119,
0.378564,
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0.593026
],
"network.4.weight": [
[
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0.471128,
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],
[
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0.164438,
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-0.064811,
-0.101675
],
[
0.195664,
0.182481,
-0.779509,
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0.763099
],
[
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0.107165,
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0.595723
],
[
0.800161,
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0.149174,
0.475689
]
],
"network.4.bias": [
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-0.310675,
0.410818,
-0.180187,
0.392121
],
"network.6.weight": [
[
0.44307,
0.321471,
0.438569,
0.048415,
0.705266
],
[
0.259474,
0.009641,
0.054818,
-0.006486,
-0.619826
],
[
-0.063449,
0.042118,
0.525427,
0.510824,
0.760186
],
[
0.007236,
0.585666,
0.438283,
0.016226,
0.84718
],
[
0.380121,
0.291478,
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]
],
"network.6.bias": [
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0.234419,
0.018115,
0.312598,
0.256282
],
"network.8.weight": [
[
0.42292,
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],
[
0.157291,
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0.175604,
0.529611,
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],
[
0.685582,
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0.491041,
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[
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[
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0.36868
]
],
"network.8.bias": [
0.392201,
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0.266713,
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0.464323
],
"network.10.weight": [
[
-0.042775,
-0.545222,
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-0.543641,
0.583137
],
[
0.626698,
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0.255742
],
[
0.361486,
0.521164,
0.417908,
0.450438,
-0.491596
],
[
-0.086585,
0.559692,
-0.088601,
0.193267,
-0.728075
],
[
0.329854,
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0.729929,
0.094343,
0.031755
]
],
"network.10.bias": [
0.566839,
0.147112,
0.126825,
-0.003711,
0.063426
],
"network.12.weight": [
[
0.782567,
0.529106,
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]
],
"network.12.bias": [
0.118949
]
}
## Activation Signature
### 0
mean: [0.869421, -2.383571, 1.637309, 0.422772, -3.509216]
std: [2.214193, 2.317286, 2.148472, 1.924638, 2.010190]
pca: [[0.561502, 0.174794, 0.115108, 0.750358, -0.279064, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.369218, 0.717153, -0.533557, 0.230813, 0.106832, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.564844, 0.121767, -0.126931, -0.136027, 0.794676, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.314737, -0.610122, -0.287360, 0.558161, 0.366841, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.360952, 0.260889, 0.776775, 0.231607, 0.380300, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.529887, 37.687679, 42.348545, 51.201481, 78.247921], [36.524318, 39.552645, 40.562959, 41.546559, 214.521417], [36.914074, 41.053779, 41.909167, 50.120480, 147.357825], [28.087367, 29.507855, 35.611862, 36.660613, 38.049511], [33.587751, 34.581827, 34.617165, 38.269205, 315.829470]]
### 2
mean: [1.796505, 1.284600, 0.373838, -2.809269, 1.381346]
std: [2.586779, 0.873947, 1.088633, 2.069259, 0.970533]
pca: [[0.722670, -0.354369, 0.000724, -0.193027, 0.561169, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.147854, 0.593501, 0.747684, 0.124942, 0.226392, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.260133, 0.497815, -0.528626, -0.043936, 0.634929, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.559785, -0.523501, 0.337168, 0.261846, 0.479939, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.273602, 0.017508, -0.218724, 0.936289, -0.018947, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.148368, 42.443078, 50.394125, 62.005788, 161.685427], [13.998157, 15.136718, 16.838460, 17.757536, 115.614020], [14.928561, 20.310129, 21.375703, 24.693079, 33.645460], [31.772852, 34.404782, 43.373025, 43.973501, 252.834238], [15.047875, 18.175304, 18.609273, 22.693963, 124.321083]]
### 4
mean: [0.319822, -0.073283, 1.580927, -0.188694, 2.096078]
std: [0.647139, 0.878270, 1.732823, 0.287878, 2.708647]
pca: [[0.015264, 0.911398, 0.116315, 0.038345, 0.392582, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.261073, -0.126123, -0.535363, -0.614817, 0.501319, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.519825, -0.059398, -0.410541, 0.727600, 0.168252, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.012277, -0.381332, 0.593491, 0.134055, 0.695869, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.813166, 0.067113, 0.423182, -0.270478, -0.286385, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.276273, 10.433592, 10.573717, 12.480070, 28.784004], [13.205625, 13.981192, 15.502588, 16.792838, 21.534487], [28.124278, 29.673459, 33.639221, 42.713219, 142.283380], [4.417766, 4.469122, 6.179561, 6.216066, 16.982465], [44.433475, 46.514344, 54.346840, 65.482535, 188.647057]]
### 6
mean: [2.215480, -0.931690, 2.443849, 2.944232, -2.000488]
std: [2.823632, 1.515093, 2.914761, 3.293069, 2.698628]
pca: [[0.463733, 0.665176, -0.400958, -0.235330, -0.355450, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249324, 0.266503, -0.493654, 0.754990, 0.230453, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.480922, -0.155178, -0.278272, -0.209354, 0.789538, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.543254, 0.217462, 0.636391, 0.497941, 0.068164, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.443145, 0.644319, 0.336318, -0.287811, 0.438783, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.778936, 51.832193, 56.588972, 65.439288, 199.393227], [25.202996, 26.373028, 30.911698, 36.793007, 83.852130], [49.096793, 50.559611, 59.147961, 70.148206, 219.946396], [53.874699, 57.907859, 66.656980, 78.054138, 264.980890], [45.099241, 47.370982, 54.462881, 66.186103, 180.043886]]
### 8
mean: [0.189347, 1.933356, 4.861920, -2.247413, -0.872545]
std: [0.087023, 2.791652, 5.745510, 2.202740, 1.699542]
pca: [[-0.009266, -0.097917, 0.847319, 0.180612, -0.489649, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.400737, 0.315472, -0.065300, 0.847914, 0.129093, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.825063, -0.032114, 0.261971, -0.402812, 0.295557, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.315277, 0.755617, 0.359486, -0.167641, 0.415103, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.243302, -0.564714, 0.282715, 0.240956, 0.695639, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.456433, 1.653278, 1.736614, 1.851695, 17.041185], [46.063296, 48.789431, 56.164361, 67.400193, 174.002032], [93.793798, 101.200703, 116.152950, 137.658461, 437.572794], [34.437030, 40.489882, 44.898539, 51.723462, 202.267183], [28.749776, 29.038881, 34.160410, 41.430717, 78.529082]]
### 10
mean: [-2.895733, -3.344642, 3.139620, 0.565144, 4.582866]
std: [4.538963, 4.602821, 3.898057, 1.141040, 5.432839]
pca: [[-0.484454, -0.353240, -0.151707, 0.749952, 0.234695, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.491314, 0.061442, 0.857089, -0.077790, -0.119089, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.416066, 0.233639, 0.348774, 0.205246, 0.780085, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.120925, 0.710293, 0.009002, 0.547604, -0.425336, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.579811, -0.558877, 0.347361, 0.299206, -0.375889, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[73.611279, 80.603495, 91.432715, 109.795061, 260.615981], [74.130958, 82.195632, 93.246039, 110.864261, 301.017800], [63.068818, 69.264522, 78.485211, 94.212054, 282.565747], [19.149815, 19.537000, 22.390325, 28.331796, 50.862957], [86.904980, 97.280093, 110.135385, 129.968622, 412.457906]]
### 12
mean: [-2.109340]
std: [3.285368]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.585485, 57.205337, 65.048277, 79.986161, 189.840638]]
## 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
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.8694213032722473, "std": 2.214193105697632, "pca": [0.5615018010139465, 0.17479370534420013, 0.11510768532752991, 0.7503576874732971, -0.27906352281570435, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [36.52988655538412, 37.68767877036272, 42.34854486250137, 51.201480502449215, 78.2479208111763]}, "1": {"mean": -2.3835713863372803, "std": 2.317286252975464, "pca": [-0.36921805143356323, 0.7171525359153748, -0.5335565805435181, 0.2308129072189331, 0.1068321168422699, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [36.524317979869735, 39.552644712132846, 40.5629589988619, 41.54655871358384, 214.52141720056534]}, "2": {"mean": 1.6373090744018555, "std": 2.148472309112549, "pca": [0.5648436546325684, 0.12176696211099625, -0.12693113088607788, -0.13602721691131592, 0.7946757078170776, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [36.91407357589282, 41.0537787028426, 41.909167143582884, 50.12048021549388, 147.35782522708178]}, "3": {"mean": 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"fourier": [86.90497998124924, 97.28009257973157, 110.1353851744585, 129.96862201298887, 412.45790565013885]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "12": {"neuron_profiles": {"0": {"mean": -2.1093404293060303, "std": 3.2853682041168213, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [55.5854853386652, 57.205337285802585, 65.04827732058143, 79.9861605109468, 189.84063781052828]}}, "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": [[0.746417, -0.347667, 0.279214, -0.222687, 0.555584], [-0.90027, -0.447155, -0.107937, -0.109872, 0.287485], [0.687942, -0.212568, 0.051495, 0.073592, 0.765495], [-0.273539, -0.028538, 0.413495, 0.552487, -0.843102], [-0.080373, -0.034855, -0.542834, -0.458564, -0.540289]], "network.0.bias": [-0.216854, -0.341903, -0.040941, -0.193519, -0.562045], "network.2.weight": [[0.731069, -0.648567, 0.499885, -0.382749, -0.274025], [0.529604, 0.119362, -0.07849, 0.512248, 0.441389], [-0.309534, 0.699507, -0.03773, 0.511871, -0.22019], [-0.691343, -0.292708, -0.470992, -0.453262, -0.147309], [0.225357, -0.713487, 0.287108, 0.012212, 0.186145]], "network.2.bias": [0.391151, 0.342119, 0.378564, -0.815353, 0.593026], "network.4.weight": [[0.39504, 0.529004, 0.471128, 0.122435, -0.862635], [0.244102, 0.164438, -0.555769, -0.064811, -0.101675], [0.195664, 0.182481, -0.779509, -0.506827, 0.763099], [-0.123654, -0.496319, 0.107165, -0.070562, 0.595723], [0.800161, -0.095162, -0.531577, 0.149174, 0.475689]], "network.4.bias": [-0.200004, -0.310675, 0.410818, -0.180187, 0.392121], "network.6.weight": [[0.44307, 0.321471, 0.438569, 0.048415, 0.705266], [0.259474, 0.009641, 0.054818, -0.006486, -0.619826], [-0.063449, 0.042118, 0.525427, 0.510824, 0.760186], [0.007236, 0.585666, 0.438283, 0.016226, 0.84718], [0.380121, 0.291478, -0.57481, -0.356187, -0.719754]], "network.6.bias": [-0.195193, 0.234419, 0.018115, 0.312598, 0.256282], "network.8.weight": [[0.42292, -0.200823, -0.23468, -0.183081, -0.108895], [0.157291, -0.694713, 0.175604, 0.529611, -0.086282], [0.685582, -0.27596, 0.719255, 0.491041, -0.545213], [-0.158092, -0.153786, -0.236651, -0.333111, -0.30883], [0.016862, 0.220014, -0.414508, -0.143783, 0.36868]], "network.8.bias": [0.392201, -0.315267, 0.266713, -0.319729, 0.464323], "network.10.weight": [[-0.042775, -0.545222, -0.512325, -0.543641, 0.583137], [0.626698, -0.657554, -0.475725, -0.477395, 0.255742], [0.361486, 0.521164, 0.417908, 0.450438, -0.491596], [-0.086585, 0.559692, -0.088601, 0.193267, -0.728075], [0.329854, 0.46448, 0.729929, 0.094343, 0.031755]], "network.10.bias": [0.566839, 0.147112, 0.126825, -0.003711, 0.063426], "network.12.weight": [[0.782567, 0.529106, -0.240877, -0.051799, -0.374937]], "network.12.bias": [0.118949]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6892920434474945, "train_acc": 0.565, "val_loss": 0.6955286264419556, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6749848425388336, "train_acc": 0.565, "val_loss": 0.6845558285713196, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6459474265575409, "train_acc": 0.565, "val_loss": 0.667397141456604, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5950241088867188, "train_acc": 0.565, "val_loss": 0.5380902290344238, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6423269808292389, "train_acc": 0.56, "val_loss": 0.47440797090530396, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5253144651651382, "train_acc": 0.785, "val_loss": 0.52170729637146, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.46965231001377106, "train_acc": 0.785, "val_loss": 0.4758201539516449, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4229594022035599, "train_acc": 0.81, "val_loss": 0.4439845681190491, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3724100589752197, "train_acc": 0.85, "val_loss": 0.4530161917209625, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.4157102406024933, "train_acc": 0.83, "val_loss": 0.43262824416160583, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3825771063566208, "train_acc": 0.83, "val_loss": 0.4641578793525696, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.3742022067308426, "train_acc": 0.845, "val_loss": 0.5201293230056763, "val_acc": 0.76}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.358410507440567, "train_acc": 0.84, "val_loss": 0.5094158053398132, "val_acc": 0.74}], "summary": {"total_epochs": 13, "degraded_epochs": 4, "improved_epochs": 9, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6955286264419556, "final_val_loss": 0.5380902290344238, "initial_val_acc": 0.52, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.47440797090530396, "final_val_loss": 0.5094158053398132, "initial_val_acc": 0.76, "final_val_acc": 0.74, "best_val_acc": 0.8, "best_epoch": 9}, "improvement": 0.26, "first_improvement_epoch": 3}}
|
9,672
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.76, "improved_accuracy": 0.94, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2128, "learning_rate": 0.038464914903979075, "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: 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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[
0.180979,
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[
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[
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[
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],
"network.4.bias": [
0.229976,
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0.317417,
0.409742
],
"network.6.weight": [
[
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[
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [1.375070, 1.819699, 1.197178, 1.642054, 0.333568, 0.930815, 0.630418]
std: [1.440641, 1.558033, 1.704799, 2.167631, 0.868611, 1.068706, 1.687389]
pca: [[-0.348498, 0.217260, 0.637742, -0.168154, 0.434562, -0.324094, -0.320118, 0.000000, 0.000000, 0.000000], [-0.391254, 0.354142, 0.085902, 0.687929, 0.004396, 0.490556, -0.014615, 0.000000, 0.000000, 0.000000], [0.048882, 0.708836, 0.025187, -0.077840, -0.593783, -0.360352, 0.077693, 0.000000, 0.000000, 0.000000], [0.678135, -0.076676, 0.622366, 0.331503, -0.045746, 0.028265, 0.184738, 0.000000, 0.000000, 0.000000], [-0.274411, 0.044598, 0.176601, -0.249163, 0.131676, 0.092954, 0.896359, 0.000000, 0.000000, 0.000000], [0.206239, 0.289137, 0.135412, -0.558027, -0.015744, 0.708648, -0.204218, 0.000000, 0.000000, 0.000000], [0.381282, 0.483181, -0.385237, 0.095124, 0.662479, -0.113329, 0.109460, 0.000000, 0.000000, 0.000000]]
fourier: [[20.663955, 23.440314, 25.663264, 25.750049, 123.756280], [21.987638, 22.099901, 24.264886, 25.963595, 163.772881], [25.241295, 27.514071, 33.338189, 36.593997, 107.746064], [34.475918, 35.590449, 36.200759, 48.116210, 147.784833], [13.726977, 14.017759, 14.286754, 16.779870, 30.021139], [17.335030, 18.844909, 20.254274, 20.256394, 83.773366], [25.518380, 27.223649, 27.552577, 30.330569, 56.737662]]
### 2
mean: [0.845241, -0.392118, 1.086227, 0.447152, -1.462771, 3.216268, 1.499342]
std: [1.322169, 1.864646, 1.328464, 1.463578, 0.826943, 2.086354, 1.860347]
pca: [[0.354076, 0.263933, 0.041383, 0.071238, 0.080911, 0.803758, 0.381587, 0.000000, 0.000000, 0.000000], [-0.475082, -0.363308, -0.585655, 0.083385, 0.265795, 0.106884, 0.458572, 0.000000, 0.000000, 0.000000], [0.378662, 0.153040, -0.260938, 0.769590, 0.309697, -0.266435, -0.077051, 0.000000, 0.000000, 0.000000], [-0.333539, 0.374956, 0.334749, 0.311656, -0.351392, -0.264706, 0.587731, 0.000000, 0.000000, 0.000000], [0.024272, -0.239530, 0.597073, -0.073305, 0.713074, -0.137219, 0.229920, 0.000000, 0.000000, 0.000000], [-0.266988, 0.759389, -0.212898, -0.307017, 0.436529, -0.077728, -0.125941, 0.000000, 0.000000, 0.000000], [0.567822, 0.016943, -0.270792, -0.446028, -0.066230, -0.420263, 0.473301, 0.000000, 0.000000, 0.000000]]
fourier: [[19.600188, 19.676318, 21.004126, 23.347700, 76.071648], [29.483566, 30.421406, 31.363028, 35.290600, 36.162430], [19.603085, 20.123354, 22.447741, 23.175225, 97.760451], [23.396152, 23.457291, 23.636306, 24.492696, 40.243720], [13.309753, 14.629185, 16.577641, 19.510232, 131.649344], [34.910360, 35.745961, 36.511252, 37.925488, 289.464116], [25.933040, 26.141607, 28.074935, 29.860106, 134.940750]]
### 4
mean: [2.418132, -1.451425, 0.662355, 1.045775, 0.479684, 2.079298, 2.072187]
std: [1.809853, 0.661184, 2.014810, 0.535862, 0.312697, 1.074551, 0.975088]
pca: [[-0.618561, 0.446026, -0.148479, 0.356273, -0.488540, 0.056584, 0.166113, 0.000000, 0.000000, 0.000000], [-0.081791, -0.343299, -0.409498, 0.132339, 0.224473, 0.698656, 0.389545, 0.000000, 0.000000, 0.000000], [0.717987, 0.384068, 0.042293, 0.179252, -0.270052, 0.087370, 0.471703, 0.000000, 0.000000, 0.000000], [-0.086708, 0.075870, 0.780021, -0.058421, -0.076536, 0.593133, -0.131211, 0.000000, 0.000000, 0.000000], [-0.048257, -0.092516, 0.312853, 0.773824, 0.464708, -0.240118, 0.137194, 0.000000, 0.000000, 0.000000], [0.132740, 0.598211, -0.291153, 0.128206, 0.413011, 0.275278, -0.526270, 0.000000, 0.000000, 0.000000], [-0.260231, 0.404383, 0.131896, -0.452517, 0.495604, -0.125714, 0.534002, 0.000000, 0.000000, 0.000000]]
fourier: [[27.809193, 28.399101, 28.592065, 31.085159, 217.631841], [12.073903, 12.147124, 12.319587, 12.875207, 130.628210], [31.584651, 32.437629, 32.989694, 33.805679, 59.611946], [7.852141, 7.867120, 8.658899, 11.299053, 94.119743], [4.264252, 4.693193, 5.013833, 6.208724, 43.171523], [17.717148, 18.105340, 18.387383, 21.195908, 187.136826], [13.932896, 15.024743, 16.831566, 18.375409, 186.496804]]
### 6
mean: [-1.424219, 0.756516, 3.102515, -1.292864, 1.257536, 0.463486, -1.087836]
std: [0.550169, 1.963844, 2.045121, 0.694606, 0.899775, 1.403087, 0.918089]
pca: [[-0.077067, -0.311420, 0.027462, 0.544253, 0.365757, -0.030370, 0.682211, 0.000000, 0.000000, 0.000000], [0.600542, 0.335850, 0.008078, -0.069196, 0.711511, 0.070629, -0.102291, 0.000000, 0.000000, 0.000000], [-0.565606, 0.636637, 0.222085, -0.227240, 0.214453, -0.229857, 0.273861, 0.000000, 0.000000, 0.000000], [-0.151405, -0.316924, 0.285042, -0.526196, 0.181871, 0.673339, 0.179005, 0.000000, 0.000000, 0.000000], [-0.196823, 0.411736, -0.189809, 0.504561, -0.068356, 0.685718, -0.161995, 0.000000, 0.000000, 0.000000], [0.425620, 0.251165, 0.681401, 0.135450, -0.441773, 0.079491, 0.267633, 0.000000, 0.000000, 0.000000], [-0.265866, -0.227738, 0.606857, 0.312332, 0.284729, -0.106497, -0.564988, 0.000000, 0.000000, 0.000000]]
fourier: [[9.207723, 9.223046, 9.767285, 11.018930, 128.179703], [31.640782, 32.650224, 34.502029, 35.128820, 68.086401], [31.826303, 32.410514, 35.229308, 35.980846, 279.226325], [12.004273, 12.196211, 12.522006, 13.397405, 116.357758], [13.677954, 14.973058, 15.674128, 15.931353, 113.178244], [22.733633, 23.190085, 24.737916, 26.287880, 41.713739], [15.632456, 15.927746, 15.927836, 17.155379, 97.905234]]
### 8
mean: [-1.574921]
std: [2.143888]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.317942, 33.330892, 34.028666, 38.330375, 141.742907]]
## 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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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0.16965,
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0.66629,
0.168805
],
[
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[
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0.291643,
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],
[
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0.575048,
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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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[
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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: [1.375070, 1.819699, 1.197178, 1.642054, 0.333568, 0.930815, 0.630418]
std: [1.440641, 1.558033, 1.704799, 2.167631, 0.868611, 1.068706, 1.687389]
pca: [[-0.348498, 0.217260, 0.637742, -0.168154, 0.434562, -0.324094, -0.320118, 0.000000, 0.000000, 0.000000], [-0.391254, 0.354142, 0.085902, 0.687929, 0.004396, 0.490556, -0.014615, 0.000000, 0.000000, 0.000000], [0.048882, 0.708836, 0.025187, -0.077840, -0.593783, -0.360352, 0.077693, 0.000000, 0.000000, 0.000000], [0.678135, -0.076676, 0.622366, 0.331503, -0.045746, 0.028265, 0.184738, 0.000000, 0.000000, 0.000000], [-0.274411, 0.044598, 0.176601, -0.249163, 0.131676, 0.092954, 0.896359, 0.000000, 0.000000, 0.000000], [0.206239, 0.289137, 0.135412, -0.558027, -0.015744, 0.708648, -0.204218, 0.000000, 0.000000, 0.000000], [0.381282, 0.483181, -0.385237, 0.095124, 0.662479, -0.113329, 0.109460, 0.000000, 0.000000, 0.000000]]
fourier: [[20.663955, 23.440314, 25.663264, 25.750049, 123.756280], [21.987638, 22.099901, 24.264886, 25.963595, 163.772881], [25.241295, 27.514071, 33.338189, 36.593997, 107.746064], [34.475918, 35.590449, 36.200759, 48.116210, 147.784833], [13.726977, 14.017759, 14.286754, 16.779870, 30.021139], [17.335030, 18.844909, 20.254274, 20.256394, 83.773366], [25.518380, 27.223649, 27.552577, 30.330569, 56.737662]]
### 2
mean: [0.845241, -0.392118, 1.086227, 0.447152, -1.462771, 3.216268, 1.499342]
std: [1.322169, 1.864646, 1.328464, 1.463578, 0.826943, 2.086354, 1.860347]
pca: [[0.354076, 0.263933, 0.041383, 0.071238, 0.080911, 0.803758, 0.381587, 0.000000, 0.000000, 0.000000], [-0.475082, -0.363308, -0.585655, 0.083385, 0.265795, 0.106884, 0.458572, 0.000000, 0.000000, 0.000000], [0.378662, 0.153040, -0.260938, 0.769590, 0.309697, -0.266435, -0.077051, 0.000000, 0.000000, 0.000000], [-0.333539, 0.374956, 0.334749, 0.311656, -0.351392, -0.264706, 0.587731, 0.000000, 0.000000, 0.000000], [0.024272, -0.239530, 0.597073, -0.073305, 0.713074, -0.137219, 0.229920, 0.000000, 0.000000, 0.000000], [-0.266988, 0.759389, -0.212898, -0.307017, 0.436529, -0.077728, -0.125941, 0.000000, 0.000000, 0.000000], [0.567822, 0.016943, -0.270792, -0.446028, -0.066230, -0.420263, 0.473301, 0.000000, 0.000000, 0.000000]]
fourier: [[19.600188, 19.676318, 21.004126, 23.347700, 76.071648], [29.483566, 30.421406, 31.363028, 35.290600, 36.162430], [19.603085, 20.123354, 22.447741, 23.175225, 97.760451], [23.396152, 23.457291, 23.636306, 24.492696, 40.243720], [13.309753, 14.629185, 16.577641, 19.510232, 131.649344], [34.910360, 35.745961, 36.511252, 37.925488, 289.464116], [25.933040, 26.141607, 28.074935, 29.860106, 134.940750]]
### 4
mean: [2.418132, -1.451425, 0.662355, 1.045775, 0.479684, 2.079298, 2.072187]
std: [1.809853, 0.661184, 2.014810, 0.535862, 0.312697, 1.074551, 0.975088]
pca: [[-0.618561, 0.446026, -0.148479, 0.356273, -0.488540, 0.056584, 0.166113, 0.000000, 0.000000, 0.000000], [-0.081791, -0.343299, -0.409498, 0.132339, 0.224473, 0.698656, 0.389545, 0.000000, 0.000000, 0.000000], [0.717987, 0.384068, 0.042293, 0.179252, -0.270052, 0.087370, 0.471703, 0.000000, 0.000000, 0.000000], [-0.086708, 0.075870, 0.780021, -0.058421, -0.076536, 0.593133, -0.131211, 0.000000, 0.000000, 0.000000], [-0.048257, -0.092516, 0.312853, 0.773824, 0.464708, -0.240118, 0.137194, 0.000000, 0.000000, 0.000000], [0.132740, 0.598211, -0.291153, 0.128206, 0.413011, 0.275278, -0.526270, 0.000000, 0.000000, 0.000000], [-0.260231, 0.404383, 0.131896, -0.452517, 0.495604, -0.125714, 0.534002, 0.000000, 0.000000, 0.000000]]
fourier: [[27.809193, 28.399101, 28.592065, 31.085159, 217.631841], [12.073903, 12.147124, 12.319587, 12.875207, 130.628210], [31.584651, 32.437629, 32.989694, 33.805679, 59.611946], [7.852141, 7.867120, 8.658899, 11.299053, 94.119743], [4.264252, 4.693193, 5.013833, 6.208724, 43.171523], [17.717148, 18.105340, 18.387383, 21.195908, 187.136826], [13.932896, 15.024743, 16.831566, 18.375409, 186.496804]]
### 6
mean: [-1.424219, 0.756516, 3.102515, -1.292864, 1.257536, 0.463486, -1.087836]
std: [0.550169, 1.963844, 2.045121, 0.694606, 0.899775, 1.403087, 0.918089]
pca: [[-0.077067, -0.311420, 0.027462, 0.544253, 0.365757, -0.030370, 0.682211, 0.000000, 0.000000, 0.000000], [0.600542, 0.335850, 0.008078, -0.069196, 0.711511, 0.070629, -0.102291, 0.000000, 0.000000, 0.000000], [-0.565606, 0.636637, 0.222085, -0.227240, 0.214453, -0.229857, 0.273861, 0.000000, 0.000000, 0.000000], [-0.151405, -0.316924, 0.285042, -0.526196, 0.181871, 0.673339, 0.179005, 0.000000, 0.000000, 0.000000], [-0.196823, 0.411736, -0.189809, 0.504561, -0.068356, 0.685718, -0.161995, 0.000000, 0.000000, 0.000000], [0.425620, 0.251165, 0.681401, 0.135450, -0.441773, 0.079491, 0.267633, 0.000000, 0.000000, 0.000000], [-0.265866, -0.227738, 0.606857, 0.312332, 0.284729, -0.106497, -0.564988, 0.000000, 0.000000, 0.000000]]
fourier: [[9.207723, 9.223046, 9.767285, 11.018930, 128.179703], [31.640782, 32.650224, 34.502029, 35.128820, 68.086401], [31.826303, 32.410514, 35.229308, 35.980846, 279.226325], [12.004273, 12.196211, 12.522006, 13.397405, 116.357758], [13.677954, 14.973058, 15.674128, 15.931353, 113.178244], [22.733633, 23.190085, 24.737916, 26.287880, 41.713739], [15.632456, 15.927746, 15.927836, 17.155379, 97.905234]]
### 8
mean: [-1.574921]
std: [2.143888]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.317942, 33.330892, 34.028666, 38.330375, 141.742907]]
## 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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"fourier": [15.632455823624348, 15.927745973601168, 15.927836248169612, 17.15537910537142, 97.90523353219032]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -1.5749211311340332, "std": 2.143887758255005, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [33.31794169103084, 33.330892071783616, 34.02866637856674, 38.33037541653805, 141.74290657043457]}}, "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": 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": 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": [[0.16965, -0.219431, -0.220589, 0.66629, 0.168805], [-0.190731, 0.224507, -0.018219, 0.637936, -0.166005], [0.523507, 0.455198, -0.209209, 0.291643, -0.30381], [0.396879, 0.084279, 0.575048, -0.534758, 0.397614], [-0.00344, -0.172443, -0.232081, 0.349457, 0.045495], [0.532586, 0.069182, -0.168519, -0.048838, -0.058728], [0.451086, 0.464114, 0.116509, -0.223525, -0.466035]], "network.0.bias": [0.387575, 0.52273, -0.097466, 0.449742, 0.331368, 0.671154, 0.034088], "network.2.weight": [[0.444323, 0.105414, 0.453494, -0.194544, 0.168766, -0.246202, -0.043401], [-0.227132, -0.295225, -0.45797, 0.539386, -0.344066, 0.046842, -0.172018], [0.457677, 0.279697, 0.067616, -0.109226, 0.326786, 0.184692, -0.245835], [0.029398, -0.356541, 0.262618, 0.00171, -0.324077, 0.40575, 0.430341], [-0.517146, 0.095898, 0.027169, -0.329546, -0.2941, 0.145905, -0.35704], [0.327665, 0.071437, 0.33598, 0.366537, -0.140373, 0.487516, 0.610968], [0.542265, 0.558977, -0.153831, -0.194673, 0.183042, -0.383984, 0.016215]], "network.2.bias": [-0.072546, 0.421187, -0.120142, 0.095418, 0.041893, 0.506911, 0.481782], "network.4.weight": [[0.492515, 0.480845, 0.252255, -0.326547, -0.154949, 0.104864, 0.619218], [-0.33511, -0.238538, -0.134872, 0.037194, 0.176276, -0.266274, 0.19051], [-0.173685, -0.536577, -0.031578, 0.176793, -0.2734, 0.563561, -0.622892], [0.180979, 0.49884, 0.161335, -0.346641, -0.128969, 0.186472, -0.089802], [-0.180269, 0.1323, -0.327235, -0.369022, 0.197728, 0.178203, 0.309285], [-0.017759, -0.09183, 0.185191, 0.290199, -0.280634, 0.355531, 0.153493], [0.317905, 0.496481, 0.354074, 0.21388, 0.048032, 0.014248, 0.268368]], "network.4.bias": [0.229976, -0.307942, 0.262976, 0.202259, 0.160875, 0.317417, 0.409742], "network.6.weight": [[0.092272, -0.016467, -0.079123, 0.216614, -0.229005, -0.322893, -0.376304], [-0.380001, -0.105005, 0.592537, -0.204838, -0.445532, 0.567155, 0.01186], [0.56155, 0.026834, -0.460352, 0.264496, 0.001485, 0.246829, 0.558509], [0.151345, 0.159764, -0.207815, -0.053719, 0.244119, -0.220519, -0.365993], [0.399911, 0.336715, 0.086772, 0.325238, -0.162881, -0.020774, 0.173135], [-0.216104, -0.045126, 0.599721, -0.369621, -0.561893, 0.063913, 0.217177], [0.283439, 0.237278, -0.232527, 0.141499, -0.337199, -0.406598, -0.248679]], "network.6.bias": [-0.225588, 0.279899, 0.282733, -0.287022, -0.377854, 0.433309, -0.147732], "network.8.weight": [[-0.239966, 0.334564, -0.471476, -0.096216, -0.394392, 0.414315, 0.139808]], "network.8.bias": [-0.232659]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6760175824165344, "train_acc": 0.565, "val_loss": 0.6503297686576843, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6392738819122314, "train_acc": 0.625, "val_loss": 0.5713285803794861, "val_acc": 0.76}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5402721762657166, "train_acc": 0.875, "val_loss": 0.40005573630332947, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.32968924939632416, "train_acc": 0.93, "val_loss": 0.3223053812980652, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.23816904425621033, "train_acc": 0.925, "val_loss": 0.37024855613708496, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.22572099417448044, "train_acc": 0.92, "val_loss": 0.34072721004486084, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.21033316105604172, "train_acc": 0.93, "val_loss": 0.3325793743133545, "val_acc": 0.94}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6503297686576843, "final_val_loss": 0.5713285803794861, "initial_val_acc": 0.56, "final_val_acc": 0.76, "best_val_acc": 0.76}, "improved_stage": {"initial_val_loss": 0.40005573630332947, "final_val_loss": 0.3325793743133545, "initial_val_acc": 0.9, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 3}, "improvement": 0.17999999999999994, "first_improvement_epoch": 1}}
|
9,673
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.42, "improved_accuracy": 0.8, "improvement": 0.38000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2775, "learning_rate": 0.05462864934080728, "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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"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.4.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: [1.989808, -1.396668, 2.660556, 0.787140, -0.569031, -1.297924, -0.085722, -1.155150]
std: [2.386879, 2.525573, 1.900954, 2.220754, 1.645869, 2.029513, 1.763795, 1.235984]
pca: [[0.489127, -0.070368, -0.210424, 0.665546, 0.436356, 0.211238, 0.106157, -0.149249, 0.000000, 0.000000], [-0.378629, 0.663437, -0.201773, 0.450660, 0.001591, -0.289949, -0.255251, 0.153163, 0.000000, 0.000000], [0.365583, 0.037267, -0.502350, -0.248839, 0.015474, -0.094075, 0.059446, 0.733526, 0.000000, 0.000000], [0.418525, 0.318789, 0.338113, -0.308742, 0.440162, -0.531052, -0.099039, -0.167334, 0.000000, 0.000000], [-0.301403, 0.262537, -0.273604, -0.230474, 0.320624, 0.064183, 0.754879, -0.188391, 0.000000, 0.000000], [-0.325989, -0.462620, 0.320355, 0.276901, 0.308319, -0.413374, 0.240471, 0.420294, 0.000000, 0.000000], [-0.333367, -0.219691, -0.300897, -0.256311, 0.604015, 0.182133, -0.531522, -0.062017, 0.000000, 0.000000], [-0.018272, 0.347386, 0.529441, -0.034990, 0.230033, 0.610141, 0.007088, 0.414995, 0.000000, 0.000000]]
fourier: [[37.268026, 38.058431, 45.611333, 47.616965, 179.082725], [36.900632, 41.813578, 50.525990, 53.805082, 125.700136], [30.536263, 32.732225, 35.358612, 35.390219, 239.450044], [34.731068, 36.665031, 37.614999, 37.973488, 70.842637], [25.471264, 25.697227, 31.399879, 35.308090, 51.212833], [30.471271, 31.829384, 38.605875, 38.885224, 116.813155], [28.345126, 29.909724, 30.954648, 32.234901, 33.497041], [18.332263, 18.979613, 21.460780, 23.710051, 103.963495]]
### 2
mean: [2.537273, 1.814720, -2.406414, 1.680702, -0.847109, 2.075234, -1.218828, 1.824522]
std: [2.910157, 2.859768, 1.383126, 2.534345, 2.383446, 2.981048, 0.634399, 3.109641]
pca: [[0.415285, -0.402464, 0.199399, -0.096153, 0.371613, 0.013479, 0.672214, -0.162498, 0.000000, 0.000000], [0.411934, -0.058698, 0.033281, 0.149820, 0.563590, -0.405366, -0.559573, 0.090737, 0.000000, 0.000000], [-0.176851, 0.370047, 0.747663, -0.463612, 0.186711, 0.013535, -0.090078, -0.121221, 0.000000, 0.000000], [0.355663, 0.535204, -0.388427, -0.119886, 0.144377, 0.313319, -0.020247, -0.549899, 0.000000, 0.000000], [-0.339757, -0.319951, -0.201889, -0.231332, 0.498888, 0.611581, -0.206914, 0.148959, 0.000000, 0.000000], [0.428097, 0.190093, -0.156824, -0.511763, -0.144488, 0.066108, 0.065960, 0.681546, 0.000000, 0.000000], [-0.055989, 0.474473, 0.141128, 0.599395, 0.309572, 0.236235, 0.283516, 0.400658, 0.000000, 0.000000], [0.445241, -0.218107, 0.404952, 0.253595, -0.350661, 0.550396, -0.314541, -0.032520, 0.000000, 0.000000]]
fourier: [[44.908245, 47.576807, 51.906705, 55.114014, 228.354612], [44.043555, 46.221904, 52.200215, 52.439719, 163.324824], [22.121759, 22.529125, 27.697885, 29.937126, 216.577284], [41.770497, 42.506377, 42.747682, 48.252554, 151.263177], [39.859617, 39.868647, 40.393801, 42.580881, 76.239860], [48.500120, 49.057511, 51.480355, 55.823611, 186.771098], [10.115191, 10.646829, 10.875543, 11.657395, 109.694489], [48.803307, 49.999636, 52.653505, 59.823897, 164.206934]]
### 4
mean: [3.163827, -1.797555, 4.543602, 0.767296, -1.930184, -2.246071, 4.986270, -4.453117]
std: [4.392403, 2.893324, 6.379750, 1.431560, 2.831102, 2.847412, 6.697074, 5.892723]
pca: [[0.340930, 0.307903, 0.189404, -0.295877, -0.283680, -0.212878, 0.410991, 0.608967, 0.000000, 0.000000], [-0.224411, 0.095485, 0.340561, 0.668255, -0.239203, 0.286130, 0.486792, -0.043825, 0.000000, 0.000000], [0.495452, 0.073394, 0.380963, 0.237535, 0.708559, -0.179202, 0.066367, -0.094928, 0.000000, 0.000000], [0.105529, 0.861220, -0.402487, 0.159547, -0.013311, 0.027481, -0.100286, -0.220735, 0.000000, 0.000000], [-0.218814, 0.312321, 0.717904, -0.161619, -0.171290, -0.005506, -0.529024, -0.061903, 0.000000, 0.000000], [-0.221100, 0.139703, -0.035130, -0.156468, 0.452819, 0.695222, -0.034219, 0.465115, 0.000000, 0.000000], [0.520184, -0.069718, 0.118330, -0.328605, -0.237274, 0.572812, 0.128074, -0.449165, 0.000000, 0.000000], [-0.457648, 0.164532, 0.101946, -0.474795, 0.263420, -0.168720, 0.531242, -0.384174, 0.000000, 0.000000]]
fourier: [[71.757866, 72.698908, 74.672462, 81.570375, 284.744470], [46.026521, 46.980584, 50.414417, 52.691750, 161.779967], [103.975712, 104.228916, 108.189906, 120.206200, 408.924157], [23.357158, 23.605025, 24.730384, 24.756092, 69.056664], [43.220327, 44.906445, 52.391445, 52.414009, 173.716538], [45.641988, 47.185596, 47.708817, 53.707653, 202.146369], [108.709339, 111.284565, 111.513737, 124.806521, 448.764326], [94.211185, 96.953668, 99.725455, 111.028588, 400.780543]]
### 6
mean: [-2.707398, -4.947505, -1.020798, -6.126892, -1.192988, 4.548054, 6.310023, -8.168495]
std: [3.726009, 7.109391, 1.374447, 8.875881, 1.929547, 5.925569, 8.693876, 11.698256]
pca: [[0.187103, 0.198361, -0.417903, 0.100483, 0.195478, 0.329873, -0.615805, 0.463317, 0.000000, 0.000000], [0.357164, -0.026403, -0.039004, 0.055281, 0.203511, 0.492609, 0.697609, 0.310517, 0.000000, 0.000000], [0.068873, -0.245651, -0.194539, 0.303471, 0.792048, -0.188445, -0.009730, -0.376864, 0.000000, 0.000000], [0.445788, 0.656471, -0.095065, 0.434308, -0.201919, -0.239331, 0.098230, -0.254868, 0.000000, 0.000000], [0.096592, -0.236853, 0.632272, 0.590960, -0.000991, -0.119825, -0.155646, 0.383386, 0.000000, 0.000000], [-0.297564, -0.351810, -0.578531, 0.507187, -0.390181, -0.056024, 0.181924, 0.085274, 0.000000, 0.000000], [-0.436746, 0.226010, 0.205974, 0.313385, 0.009245, 0.673443, -0.083008, -0.396279, 0.000000, 0.000000], [0.587652, -0.487552, 0.007887, -0.038028, -0.316122, 0.291047, -0.245294, -0.413085, 0.000000, 0.000000]]
fourier: [[59.954440, 60.947519, 63.801441, 69.957052, 243.665797], [115.325205, 116.547587, 121.363868, 133.062358, 445.275492], [21.942081, 22.608242, 25.020829, 25.653275, 91.871782], [144.533763, 146.702516, 148.686675, 165.829532, 551.420219], [31.935753, 32.011547, 32.306155, 35.142734, 107.368947], [95.810207, 98.168543, 99.752282, 110.705436, 409.324828], [140.815910, 143.215102, 149.421757, 163.151664, 567.902018], [189.876015, 193.098282, 201.008934, 219.033009, 735.164611]]
### 8
mean: [-4.167569]
std: [5.937765]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[95.988402, 99.183340, 99.354775, 111.144447, 375.081167]]
## 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:
{
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[
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[
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"network.6.weight": [
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [1.989808, -1.396668, 2.660556, 0.787140, -0.569031, -1.297924, -0.085722, -1.155150]
std: [2.386879, 2.525573, 1.900954, 2.220754, 1.645869, 2.029513, 1.763795, 1.235984]
pca: [[0.489127, -0.070368, -0.210424, 0.665546, 0.436356, 0.211238, 0.106157, -0.149249, 0.000000, 0.000000], [-0.378629, 0.663437, -0.201773, 0.450660, 0.001591, -0.289949, -0.255251, 0.153163, 0.000000, 0.000000], [0.365583, 0.037267, -0.502350, -0.248839, 0.015474, -0.094075, 0.059446, 0.733526, 0.000000, 0.000000], [0.418525, 0.318789, 0.338113, -0.308742, 0.440162, -0.531052, -0.099039, -0.167334, 0.000000, 0.000000], [-0.301403, 0.262537, -0.273604, -0.230474, 0.320624, 0.064183, 0.754879, -0.188391, 0.000000, 0.000000], [-0.325989, -0.462620, 0.320355, 0.276901, 0.308319, -0.413374, 0.240471, 0.420294, 0.000000, 0.000000], [-0.333367, -0.219691, -0.300897, -0.256311, 0.604015, 0.182133, -0.531522, -0.062017, 0.000000, 0.000000], [-0.018272, 0.347386, 0.529441, -0.034990, 0.230033, 0.610141, 0.007088, 0.414995, 0.000000, 0.000000]]
fourier: [[37.268026, 38.058431, 45.611333, 47.616965, 179.082725], [36.900632, 41.813578, 50.525990, 53.805082, 125.700136], [30.536263, 32.732225, 35.358612, 35.390219, 239.450044], [34.731068, 36.665031, 37.614999, 37.973488, 70.842637], [25.471264, 25.697227, 31.399879, 35.308090, 51.212833], [30.471271, 31.829384, 38.605875, 38.885224, 116.813155], [28.345126, 29.909724, 30.954648, 32.234901, 33.497041], [18.332263, 18.979613, 21.460780, 23.710051, 103.963495]]
### 2
mean: [2.537273, 1.814720, -2.406414, 1.680702, -0.847109, 2.075234, -1.218828, 1.824522]
std: [2.910157, 2.859768, 1.383126, 2.534345, 2.383446, 2.981048, 0.634399, 3.109641]
pca: [[0.415285, -0.402464, 0.199399, -0.096153, 0.371613, 0.013479, 0.672214, -0.162498, 0.000000, 0.000000], [0.411934, -0.058698, 0.033281, 0.149820, 0.563590, -0.405366, -0.559573, 0.090737, 0.000000, 0.000000], [-0.176851, 0.370047, 0.747663, -0.463612, 0.186711, 0.013535, -0.090078, -0.121221, 0.000000, 0.000000], [0.355663, 0.535204, -0.388427, -0.119886, 0.144377, 0.313319, -0.020247, -0.549899, 0.000000, 0.000000], [-0.339757, -0.319951, -0.201889, -0.231332, 0.498888, 0.611581, -0.206914, 0.148959, 0.000000, 0.000000], [0.428097, 0.190093, -0.156824, -0.511763, -0.144488, 0.066108, 0.065960, 0.681546, 0.000000, 0.000000], [-0.055989, 0.474473, 0.141128, 0.599395, 0.309572, 0.236235, 0.283516, 0.400658, 0.000000, 0.000000], [0.445241, -0.218107, 0.404952, 0.253595, -0.350661, 0.550396, -0.314541, -0.032520, 0.000000, 0.000000]]
fourier: [[44.908245, 47.576807, 51.906705, 55.114014, 228.354612], [44.043555, 46.221904, 52.200215, 52.439719, 163.324824], [22.121759, 22.529125, 27.697885, 29.937126, 216.577284], [41.770497, 42.506377, 42.747682, 48.252554, 151.263177], [39.859617, 39.868647, 40.393801, 42.580881, 76.239860], [48.500120, 49.057511, 51.480355, 55.823611, 186.771098], [10.115191, 10.646829, 10.875543, 11.657395, 109.694489], [48.803307, 49.999636, 52.653505, 59.823897, 164.206934]]
### 4
mean: [3.163827, -1.797555, 4.543602, 0.767296, -1.930184, -2.246071, 4.986270, -4.453117]
std: [4.392403, 2.893324, 6.379750, 1.431560, 2.831102, 2.847412, 6.697074, 5.892723]
pca: [[0.340930, 0.307903, 0.189404, -0.295877, -0.283680, -0.212878, 0.410991, 0.608967, 0.000000, 0.000000], [-0.224411, 0.095485, 0.340561, 0.668255, -0.239203, 0.286130, 0.486792, -0.043825, 0.000000, 0.000000], [0.495452, 0.073394, 0.380963, 0.237535, 0.708559, -0.179202, 0.066367, -0.094928, 0.000000, 0.000000], [0.105529, 0.861220, -0.402487, 0.159547, -0.013311, 0.027481, -0.100286, -0.220735, 0.000000, 0.000000], [-0.218814, 0.312321, 0.717904, -0.161619, -0.171290, -0.005506, -0.529024, -0.061903, 0.000000, 0.000000], [-0.221100, 0.139703, -0.035130, -0.156468, 0.452819, 0.695222, -0.034219, 0.465115, 0.000000, 0.000000], [0.520184, -0.069718, 0.118330, -0.328605, -0.237274, 0.572812, 0.128074, -0.449165, 0.000000, 0.000000], [-0.457648, 0.164532, 0.101946, -0.474795, 0.263420, -0.168720, 0.531242, -0.384174, 0.000000, 0.000000]]
fourier: [[71.757866, 72.698908, 74.672462, 81.570375, 284.744470], [46.026521, 46.980584, 50.414417, 52.691750, 161.779967], [103.975712, 104.228916, 108.189906, 120.206200, 408.924157], [23.357158, 23.605025, 24.730384, 24.756092, 69.056664], [43.220327, 44.906445, 52.391445, 52.414009, 173.716538], [45.641988, 47.185596, 47.708817, 53.707653, 202.146369], [108.709339, 111.284565, 111.513737, 124.806521, 448.764326], [94.211185, 96.953668, 99.725455, 111.028588, 400.780543]]
### 6
mean: [-2.707398, -4.947505, -1.020798, -6.126892, -1.192988, 4.548054, 6.310023, -8.168495]
std: [3.726009, 7.109391, 1.374447, 8.875881, 1.929547, 5.925569, 8.693876, 11.698256]
pca: [[0.187103, 0.198361, -0.417903, 0.100483, 0.195478, 0.329873, -0.615805, 0.463317, 0.000000, 0.000000], [0.357164, -0.026403, -0.039004, 0.055281, 0.203511, 0.492609, 0.697609, 0.310517, 0.000000, 0.000000], [0.068873, -0.245651, -0.194539, 0.303471, 0.792048, -0.188445, -0.009730, -0.376864, 0.000000, 0.000000], [0.445788, 0.656471, -0.095065, 0.434308, -0.201919, -0.239331, 0.098230, -0.254868, 0.000000, 0.000000], [0.096592, -0.236853, 0.632272, 0.590960, -0.000991, -0.119825, -0.155646, 0.383386, 0.000000, 0.000000], [-0.297564, -0.351810, -0.578531, 0.507187, -0.390181, -0.056024, 0.181924, 0.085274, 0.000000, 0.000000], [-0.436746, 0.226010, 0.205974, 0.313385, 0.009245, 0.673443, -0.083008, -0.396279, 0.000000, 0.000000], [0.587652, -0.487552, 0.007887, -0.038028, -0.316122, 0.291047, -0.245294, -0.413085, 0.000000, 0.000000]]
fourier: [[59.954440, 60.947519, 63.801441, 69.957052, 243.665797], [115.325205, 116.547587, 121.363868, 133.062358, 445.275492], [21.942081, 22.608242, 25.020829, 25.653275, 91.871782], [144.533763, 146.702516, 148.686675, 165.829532, 551.420219], [31.935753, 32.011547, 32.306155, 35.142734, 107.368947], [95.810207, 98.168543, 99.752282, 110.705436, 409.324828], [140.815910, 143.215102, 149.421757, 163.151664, 567.902018], [189.876015, 193.098282, 201.008934, 219.033009, 735.164611]]
### 8
mean: [-4.167569]
std: [5.937765]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[95.988402, 99.183340, 99.354775, 111.144447, 375.081167]]
## 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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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6989795565605164, "train_acc": 0.465, "val_loss": 0.6898341178894043, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6434078812599182, "train_acc": 0.59, "val_loss": 0.6863327622413635, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6034321188926697, "train_acc": 0.59, "val_loss": 0.6044107675552368, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5957455635070801, "train_acc": 0.585, "val_loss": 0.5421618819236755, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5456759333610535, "train_acc": 0.705, "val_loss": 0.5883979797363281, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5620372295379639, "train_acc": 0.69, "val_loss": 0.5395951867103577, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5091186165809631, "train_acc": 0.745, "val_loss": 0.5515629053115845, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.47808031737804413, "train_acc": 0.765, "val_loss": 0.6550334095954895, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.49332359433174133, "train_acc": 0.76, "val_loss": 0.5377005934715271, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.45115503668785095, "train_acc": 0.76, "val_loss": 0.4541293978691101, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.4499892592430115, "train_acc": 0.765, "val_loss": 0.4252113699913025, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.43551722168922424, "train_acc": 0.765, "val_loss": 0.4110538363456726, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.41905197501182556, "train_acc": 0.76, "val_loss": 0.3915889263153076, "val_acc": 0.8}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6898341178894043, "final_val_loss": 0.6044107675552368, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.5421618819236755, "final_val_loss": 0.3915889263153076, "initial_val_acc": 0.74, "final_val_acc": 0.8, "best_val_acc": 0.8, "best_epoch": 8}, "improvement": 0.38000000000000006, "first_improvement_epoch": 2}}
|
9,674
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.58, "improved_accuracy": 0.88, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8175, "learning_rate": 0.05976612814156919, "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.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [2.662050, -1.217772, -0.599504, 1.231190, -1.869088, 0.877066, 0.774805]
std: [2.013651, 1.761211, 1.585688, 1.811222, 0.986810, 1.468746, 1.281737]
pca: [[-0.144304, 0.775412, 0.543635, -0.175438, 0.026009, 0.033869, 0.223096, 0.000000, 0.000000, 0.000000], [-0.156958, -0.542349, 0.678299, -0.205022, 0.179639, 0.367834, -0.107362, 0.000000, 0.000000, 0.000000], [-0.471082, 0.239868, -0.364805, 0.026597, 0.421890, 0.529624, -0.358137, 0.000000, 0.000000, 0.000000], [0.613922, 0.077198, -0.006652, -0.243452, 0.726258, -0.134628, -0.110684, 0.000000, 0.000000, 0.000000], [-0.268914, -0.161614, -0.040279, 0.369505, 0.464301, -0.084954, 0.735267, 0.000000, 0.000000, 0.000000], [0.312095, 0.119367, 0.275007, 0.843617, 0.006958, 0.195813, -0.250278, 0.000000, 0.000000, 0.000000], [0.431282, 0.027033, -0.184372, -0.137797, -0.214447, 0.720670, 0.441511, 0.000000, 0.000000, 0.000000]]
fourier: [[30.134200, 32.395251, 34.230265, 35.014029, 239.584505], [23.857909, 25.848576, 31.866489, 32.363836, 109.599504], [26.124487, 26.161216, 29.780819, 34.155805, 53.955404], [24.982981, 33.999779, 34.457681, 38.927811, 110.807119], [14.910268, 17.788605, 17.842390, 19.415248, 168.217928], [24.151220, 24.387653, 25.825727, 27.332755, 78.935948], [19.478945, 20.864442, 25.334619, 29.064521, 69.732459]]
### 2
mean: [-1.296276, -0.282186, -0.710426, -2.370765, 0.586453, -0.452218, -0.498874]
std: [1.075469, 1.853523, 0.747084, 1.492764, 1.561014, 1.012223, 2.455127]
pca: [[0.189971, 0.405325, 0.608866, 0.014656, -0.372930, -0.165606, -0.512043, 0.000000, 0.000000, 0.000000], [0.510848, -0.078175, -0.157335, 0.593956, -0.056136, 0.564237, -0.184042, 0.000000, 0.000000, 0.000000], [0.027487, 0.367400, 0.336250, 0.534474, 0.367530, -0.235186, 0.524542, 0.000000, 0.000000, 0.000000], [0.068933, 0.767421, -0.465813, -0.216700, 0.307883, 0.111648, -0.187391, 0.000000, 0.000000, 0.000000], [0.401465, -0.306777, 0.220325, -0.207060, 0.726932, -0.157444, -0.316351, 0.000000, 0.000000, 0.000000], [0.266150, 0.107267, 0.373756, -0.504650, -0.037609, 0.556036, 0.461196, 0.000000, 0.000000, 0.000000], [0.682223, -0.007992, -0.293677, -0.129750, -0.313139, -0.502463, 0.284433, 0.000000, 0.000000, 0.000000]]
fourier: [[15.970016, 19.505053, 20.117302, 21.008970, 116.664829], [28.410976, 30.356584, 35.700562, 37.186400, 37.347946], [11.557871, 11.738834, 12.905200, 13.816682, 63.938378], [23.712084, 24.170337, 25.482060, 30.186851, 213.368833], [24.330891, 25.079086, 30.379695, 33.229121, 52.780808], [14.115994, 18.721544, 20.213508, 23.087105, 40.699585], [40.027284, 44.898689, 48.915199, 50.517012, 50.644253]]
### 4
mean: [0.871794, -0.488853, -0.400096, -0.599304, 1.394017, -0.519851, -0.150101]
std: [1.019721, 0.442399, 0.164213, 0.534643, 1.255381, 0.517740, 0.561969]
pca: [[0.532950, 0.434785, -0.021004, -0.398475, -0.030380, 0.423977, 0.432463, 0.000000, 0.000000, 0.000000], [-0.228591, 0.152523, 0.388486, 0.428485, -0.221617, -0.188163, 0.710945, 0.000000, 0.000000, 0.000000], [-0.079384, 0.146217, 0.038504, 0.605350, 0.217912, 0.723372, -0.183397, 0.000000, 0.000000, 0.000000], [-0.270407, 0.338719, 0.745792, -0.340443, -0.061703, 0.073966, -0.361613, 0.000000, 0.000000, 0.000000], [0.658382, 0.281700, 0.209830, 0.397955, 0.122647, -0.436991, -0.280674, 0.000000, 0.000000, 0.000000], [-0.257036, 0.652570, -0.471961, 0.089760, -0.473733, -0.117499, -0.197617, 0.000000, 0.000000, 0.000000], [-0.291126, 0.382604, -0.155478, -0.094039, 0.811915, -0.226569, 0.159073, 0.000000, 0.000000, 0.000000]]
fourier: [[16.770824, 16.892831, 18.241566, 20.924212, 78.461479], [6.389912, 6.776148, 7.318058, 9.390928, 43.996732], [2.573364, 2.807088, 2.885582, 3.698305, 36.008655], [7.952462, 8.083862, 8.711911, 10.805008, 53.937344], [19.199296, 21.053890, 21.115474, 25.586054, 125.461486], [7.571069, 8.241887, 8.743972, 11.129422, 46.786571], [8.324520, 8.518556, 8.827063, 12.119661, 13.509051]]
### 6
mean: [1.014518, 0.413973, 0.655141, -0.565176, -1.346489, -0.923246, -0.871947]
std: [1.067428, 0.707390, 0.666357, 0.468748, 1.315598, 0.665128, 0.763861]
pca: [[-0.474493, 0.496099, 0.153995, 0.064532, -0.433220, -0.138812, 0.542139, 0.000000, 0.000000, 0.000000], [-0.314551, 0.254857, 0.420767, -0.541841, 0.126228, 0.484669, -0.338574, 0.000000, 0.000000, 0.000000], [-0.295948, 0.431861, -0.098246, 0.643076, 0.340771, -0.005411, -0.431924, 0.000000, 0.000000, 0.000000], [0.208022, 0.358041, -0.322763, -0.266568, -0.535177, -0.299479, -0.526495, 0.000000, 0.000000, 0.000000], [0.585211, 0.317334, 0.078593, 0.290303, -0.236525, 0.626002, 0.136205, 0.000000, 0.000000, 0.000000], [0.295873, 0.020000, 0.814167, 0.160147, -0.040378, -0.444578, -0.155771, 0.000000, 0.000000, 0.000000], [0.339180, 0.522624, -0.127940, -0.328201, 0.579891, -0.258034, 0.291345, 0.000000, 0.000000, 0.000000]]
fourier: [[16.176400, 17.907483, 18.312215, 21.384344, 91.306580], [10.846375, 11.987343, 12.113774, 14.193472, 37.257590], [9.944813, 11.038857, 11.491214, 13.287661, 58.962698], [7.685283, 7.711317, 8.343248, 9.662977, 50.865877], [20.781291, 21.984499, 22.754527, 26.880336, 121.183989], [10.243418, 11.139775, 11.253061, 13.569796, 83.092174], [12.406666, 12.568892, 13.482337, 15.751372, 78.475218]]
### 8
mean: [-0.546314, -0.343421, -0.007735, -0.722014, 0.856094, 0.243413, -0.284193]
std: [0.439821, 0.137963, 0.232704, 0.572819, 0.826751, 0.340062, 0.059021]
pca: [[-0.372384, 0.021093, -0.258581, 0.487885, 0.394302, 0.019778, 0.632554, 0.000000, 0.000000, 0.000000], [-0.115014, -0.490259, -0.059378, 0.488196, 0.053537, 0.500490, -0.501198, 0.000000, 0.000000, 0.000000], [-0.195309, 0.623322, -0.438928, 0.116612, -0.488486, 0.340683, -0.111289, 0.000000, 0.000000, 0.000000], [-0.484962, 0.129950, -0.261133, -0.460111, 0.561148, -0.017833, -0.390931, 0.000000, 0.000000, 0.000000], [0.699819, 0.370624, -0.196610, 0.230943, 0.498977, 0.050178, -0.171478, 0.000000, 0.000000, 0.000000], [-0.287478, 0.383747, 0.516598, 0.461988, 0.034695, -0.419394, -0.335697, 0.000000, 0.000000, 0.000000], [-0.048757, 0.262982, 0.602688, -0.177665, 0.194865, 0.674037, 0.203389, 0.000000, 0.000000, 0.000000]]
fourier: [[6.760034, 7.453601, 7.460592, 8.890473, 49.168293], [2.095650, 2.117235, 2.526832, 2.590193, 30.907869], [3.371750, 3.690910, 3.833831, 4.145910, 4.883049], [8.846955, 9.664718, 9.752609, 11.614314, 64.981272], [12.518464, 13.859489, 14.171498, 16.571480, 77.048498], [5.378419, 5.608547, 5.891725, 6.994908, 21.907131], [0.886013, 1.004922, 1.068748, 1.264650, 25.577324]]
### 10
mean: [0.336313, 0.396106, -0.437633, 0.045883, -0.366568, 0.377408, 0.221087]
std: [0.523151, 0.634484, 0.235265, 0.353293, 0.025901, 0.450631, 0.402229]
pca: [[-0.472489, 0.731150, 0.007228, -0.302758, -0.080595, 0.178981, 0.334558, 0.000000, 0.000000, 0.000000], [0.574492, 0.308807, -0.266644, 0.086429, 0.484065, -0.226959, 0.458475, 0.000000, 0.000000, 0.000000], [-0.213016, -0.088688, 0.394047, -0.331813, 0.794893, -0.003332, -0.222531, 0.000000, 0.000000, 0.000000], [0.319648, 0.254723, 0.839140, 0.303725, -0.156022, 0.087855, 0.066896, 0.000000, 0.000000, 0.000000], [-0.005855, -0.461556, 0.063705, -0.068701, 0.061465, 0.629472, 0.614931, 0.000000, 0.000000, 0.000000], [-0.408146, 0.087546, -0.129629, 0.830793, 0.305415, 0.157737, -0.023923, 0.000000, 0.000000, 0.000000], [0.364067, 0.276787, -0.220358, -0.059842, 0.077014, 0.698291, -0.495140, 0.000000, 0.000000, 0.000000]]
fourier: [[8.691990, 9.132108, 9.228855, 9.915345, 30.268180], [9.871190, 10.794129, 10.927874, 12.502507, 35.649514], [3.651540, 3.988524, 4.035440, 4.619639, 39.386949], [5.292802, 5.523465, 6.053709, 6.136217, 7.010119], [0.390047, 0.409079, 0.456035, 0.473495, 32.991113], [7.207035, 7.796913, 7.825722, 8.766697, 33.966745], [6.207630, 6.809316, 6.911042, 7.955301, 19.897861]]
### 12
mean: [-0.035030]
std: [0.905303]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.104620, 15.273648, 15.394964, 16.156268, 17.489929]]
## 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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0.326892,
0.74988,
0.379495,
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[
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[
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[
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[
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[
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0.137595,
0.630395
]
],
"network.0.bias": [
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0.057253,
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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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0.169806,
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-0.43421
]
],
"network.2.bias": [
0.227278,
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0.165754,
0.062062
],
"network.4.weight": [
[
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[
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0.005164,
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0.036044
],
[
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0.347955,
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],
[
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],
[
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[
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[
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0.07813
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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.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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],
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[
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],
[
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0.286992,
0.099897
],
[
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0.05146,
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0.049421,
0.230594
],
[
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[
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0.43981,
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]
],
"network.10.bias": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [2.662050, -1.217772, -0.599504, 1.231190, -1.869088, 0.877066, 0.774805]
std: [2.013651, 1.761211, 1.585688, 1.811222, 0.986810, 1.468746, 1.281737]
pca: [[-0.144304, 0.775412, 0.543635, -0.175438, 0.026009, 0.033869, 0.223096, 0.000000, 0.000000, 0.000000], [-0.156958, -0.542349, 0.678299, -0.205022, 0.179639, 0.367834, -0.107362, 0.000000, 0.000000, 0.000000], [-0.471082, 0.239868, -0.364805, 0.026597, 0.421890, 0.529624, -0.358137, 0.000000, 0.000000, 0.000000], [0.613922, 0.077198, -0.006652, -0.243452, 0.726258, -0.134628, -0.110684, 0.000000, 0.000000, 0.000000], [-0.268914, -0.161614, -0.040279, 0.369505, 0.464301, -0.084954, 0.735267, 0.000000, 0.000000, 0.000000], [0.312095, 0.119367, 0.275007, 0.843617, 0.006958, 0.195813, -0.250278, 0.000000, 0.000000, 0.000000], [0.431282, 0.027033, -0.184372, -0.137797, -0.214447, 0.720670, 0.441511, 0.000000, 0.000000, 0.000000]]
fourier: [[30.134200, 32.395251, 34.230265, 35.014029, 239.584505], [23.857909, 25.848576, 31.866489, 32.363836, 109.599504], [26.124487, 26.161216, 29.780819, 34.155805, 53.955404], [24.982981, 33.999779, 34.457681, 38.927811, 110.807119], [14.910268, 17.788605, 17.842390, 19.415248, 168.217928], [24.151220, 24.387653, 25.825727, 27.332755, 78.935948], [19.478945, 20.864442, 25.334619, 29.064521, 69.732459]]
### 2
mean: [-1.296276, -0.282186, -0.710426, -2.370765, 0.586453, -0.452218, -0.498874]
std: [1.075469, 1.853523, 0.747084, 1.492764, 1.561014, 1.012223, 2.455127]
pca: [[0.189971, 0.405325, 0.608866, 0.014656, -0.372930, -0.165606, -0.512043, 0.000000, 0.000000, 0.000000], [0.510848, -0.078175, -0.157335, 0.593956, -0.056136, 0.564237, -0.184042, 0.000000, 0.000000, 0.000000], [0.027487, 0.367400, 0.336250, 0.534474, 0.367530, -0.235186, 0.524542, 0.000000, 0.000000, 0.000000], [0.068933, 0.767421, -0.465813, -0.216700, 0.307883, 0.111648, -0.187391, 0.000000, 0.000000, 0.000000], [0.401465, -0.306777, 0.220325, -0.207060, 0.726932, -0.157444, -0.316351, 0.000000, 0.000000, 0.000000], [0.266150, 0.107267, 0.373756, -0.504650, -0.037609, 0.556036, 0.461196, 0.000000, 0.000000, 0.000000], [0.682223, -0.007992, -0.293677, -0.129750, -0.313139, -0.502463, 0.284433, 0.000000, 0.000000, 0.000000]]
fourier: [[15.970016, 19.505053, 20.117302, 21.008970, 116.664829], [28.410976, 30.356584, 35.700562, 37.186400, 37.347946], [11.557871, 11.738834, 12.905200, 13.816682, 63.938378], [23.712084, 24.170337, 25.482060, 30.186851, 213.368833], [24.330891, 25.079086, 30.379695, 33.229121, 52.780808], [14.115994, 18.721544, 20.213508, 23.087105, 40.699585], [40.027284, 44.898689, 48.915199, 50.517012, 50.644253]]
### 4
mean: [0.871794, -0.488853, -0.400096, -0.599304, 1.394017, -0.519851, -0.150101]
std: [1.019721, 0.442399, 0.164213, 0.534643, 1.255381, 0.517740, 0.561969]
pca: [[0.532950, 0.434785, -0.021004, -0.398475, -0.030380, 0.423977, 0.432463, 0.000000, 0.000000, 0.000000], [-0.228591, 0.152523, 0.388486, 0.428485, -0.221617, -0.188163, 0.710945, 0.000000, 0.000000, 0.000000], [-0.079384, 0.146217, 0.038504, 0.605350, 0.217912, 0.723372, -0.183397, 0.000000, 0.000000, 0.000000], [-0.270407, 0.338719, 0.745792, -0.340443, -0.061703, 0.073966, -0.361613, 0.000000, 0.000000, 0.000000], [0.658382, 0.281700, 0.209830, 0.397955, 0.122647, -0.436991, -0.280674, 0.000000, 0.000000, 0.000000], [-0.257036, 0.652570, -0.471961, 0.089760, -0.473733, -0.117499, -0.197617, 0.000000, 0.000000, 0.000000], [-0.291126, 0.382604, -0.155478, -0.094039, 0.811915, -0.226569, 0.159073, 0.000000, 0.000000, 0.000000]]
fourier: [[16.770824, 16.892831, 18.241566, 20.924212, 78.461479], [6.389912, 6.776148, 7.318058, 9.390928, 43.996732], [2.573364, 2.807088, 2.885582, 3.698305, 36.008655], [7.952462, 8.083862, 8.711911, 10.805008, 53.937344], [19.199296, 21.053890, 21.115474, 25.586054, 125.461486], [7.571069, 8.241887, 8.743972, 11.129422, 46.786571], [8.324520, 8.518556, 8.827063, 12.119661, 13.509051]]
### 6
mean: [1.014518, 0.413973, 0.655141, -0.565176, -1.346489, -0.923246, -0.871947]
std: [1.067428, 0.707390, 0.666357, 0.468748, 1.315598, 0.665128, 0.763861]
pca: [[-0.474493, 0.496099, 0.153995, 0.064532, -0.433220, -0.138812, 0.542139, 0.000000, 0.000000, 0.000000], [-0.314551, 0.254857, 0.420767, -0.541841, 0.126228, 0.484669, -0.338574, 0.000000, 0.000000, 0.000000], [-0.295948, 0.431861, -0.098246, 0.643076, 0.340771, -0.005411, -0.431924, 0.000000, 0.000000, 0.000000], [0.208022, 0.358041, -0.322763, -0.266568, -0.535177, -0.299479, -0.526495, 0.000000, 0.000000, 0.000000], [0.585211, 0.317334, 0.078593, 0.290303, -0.236525, 0.626002, 0.136205, 0.000000, 0.000000, 0.000000], [0.295873, 0.020000, 0.814167, 0.160147, -0.040378, -0.444578, -0.155771, 0.000000, 0.000000, 0.000000], [0.339180, 0.522624, -0.127940, -0.328201, 0.579891, -0.258034, 0.291345, 0.000000, 0.000000, 0.000000]]
fourier: [[16.176400, 17.907483, 18.312215, 21.384344, 91.306580], [10.846375, 11.987343, 12.113774, 14.193472, 37.257590], [9.944813, 11.038857, 11.491214, 13.287661, 58.962698], [7.685283, 7.711317, 8.343248, 9.662977, 50.865877], [20.781291, 21.984499, 22.754527, 26.880336, 121.183989], [10.243418, 11.139775, 11.253061, 13.569796, 83.092174], [12.406666, 12.568892, 13.482337, 15.751372, 78.475218]]
### 8
mean: [-0.546314, -0.343421, -0.007735, -0.722014, 0.856094, 0.243413, -0.284193]
std: [0.439821, 0.137963, 0.232704, 0.572819, 0.826751, 0.340062, 0.059021]
pca: [[-0.372384, 0.021093, -0.258581, 0.487885, 0.394302, 0.019778, 0.632554, 0.000000, 0.000000, 0.000000], [-0.115014, -0.490259, -0.059378, 0.488196, 0.053537, 0.500490, -0.501198, 0.000000, 0.000000, 0.000000], [-0.195309, 0.623322, -0.438928, 0.116612, -0.488486, 0.340683, -0.111289, 0.000000, 0.000000, 0.000000], [-0.484962, 0.129950, -0.261133, -0.460111, 0.561148, -0.017833, -0.390931, 0.000000, 0.000000, 0.000000], [0.699819, 0.370624, -0.196610, 0.230943, 0.498977, 0.050178, -0.171478, 0.000000, 0.000000, 0.000000], [-0.287478, 0.383747, 0.516598, 0.461988, 0.034695, -0.419394, -0.335697, 0.000000, 0.000000, 0.000000], [-0.048757, 0.262982, 0.602688, -0.177665, 0.194865, 0.674037, 0.203389, 0.000000, 0.000000, 0.000000]]
fourier: [[6.760034, 7.453601, 7.460592, 8.890473, 49.168293], [2.095650, 2.117235, 2.526832, 2.590193, 30.907869], [3.371750, 3.690910, 3.833831, 4.145910, 4.883049], [8.846955, 9.664718, 9.752609, 11.614314, 64.981272], [12.518464, 13.859489, 14.171498, 16.571480, 77.048498], [5.378419, 5.608547, 5.891725, 6.994908, 21.907131], [0.886013, 1.004922, 1.068748, 1.264650, 25.577324]]
### 10
mean: [0.336313, 0.396106, -0.437633, 0.045883, -0.366568, 0.377408, 0.221087]
std: [0.523151, 0.634484, 0.235265, 0.353293, 0.025901, 0.450631, 0.402229]
pca: [[-0.472489, 0.731150, 0.007228, -0.302758, -0.080595, 0.178981, 0.334558, 0.000000, 0.000000, 0.000000], [0.574492, 0.308807, -0.266644, 0.086429, 0.484065, -0.226959, 0.458475, 0.000000, 0.000000, 0.000000], [-0.213016, -0.088688, 0.394047, -0.331813, 0.794893, -0.003332, -0.222531, 0.000000, 0.000000, 0.000000], [0.319648, 0.254723, 0.839140, 0.303725, -0.156022, 0.087855, 0.066896, 0.000000, 0.000000, 0.000000], [-0.005855, -0.461556, 0.063705, -0.068701, 0.061465, 0.629472, 0.614931, 0.000000, 0.000000, 0.000000], [-0.408146, 0.087546, -0.129629, 0.830793, 0.305415, 0.157737, -0.023923, 0.000000, 0.000000, 0.000000], [0.364067, 0.276787, -0.220358, -0.059842, 0.077014, 0.698291, -0.495140, 0.000000, 0.000000, 0.000000]]
fourier: [[8.691990, 9.132108, 9.228855, 9.915345, 30.268180], [9.871190, 10.794129, 10.927874, 12.502507, 35.649514], [3.651540, 3.988524, 4.035440, 4.619639, 39.386949], [5.292802, 5.523465, 6.053709, 6.136217, 7.010119], [0.390047, 0.409079, 0.456035, 0.473495, 32.991113], [7.207035, 7.796913, 7.825722, 8.766697, 33.966745], [6.207630, 6.809316, 6.911042, 7.955301, 19.897861]]
### 12
mean: [-0.035030]
std: [0.905303]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.104620, 15.273648, 15.394964, 16.156268, 17.489929]]
## 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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{"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": [[0.023074, 0.326892, 0.74988, 0.379495, -0.556569], [0.140321, -0.674591, 0.334089, -0.359482, -0.358608], [-0.39683, 0.345542, -0.158289, 0.178084, -0.542686], [0.497094, -0.341679, -0.016044, 0.366278, 0.644303], [-0.005014, 0.051336, -0.238914, -0.177721, -0.359745], [0.569609, 0.282994, -0.105384, -0.203709, 0.204541], [0.156429, -0.059657, -0.091962, 0.137595, 0.630395]], "network.0.bias": [0.343881, 0.352159, -0.117256, -0.311389, -0.632533, 0.057253, -0.191608], "network.2.weight": [[-0.205061, 0.171615, -0.40065, -0.53373, -0.289402, -0.016196, -0.130134], [0.338812, 0.095578, 0.497495, -0.33578, 0.121363, -0.382384, -0.578895], [-0.362607, 0.166679, 0.053797, -0.180902, 0.050944, 0.101576, -0.158706], [-0.563222, 0.096837, -0.234896, -0.192026, -0.224862, -0.455558, -0.085644], [0.536319, 0.326867, 0.048542, -0.295385, 0.392946, -0.216464, -0.349438], [0.149812, 0.178989, -0.453581, -0.390566, 0.080627, -0.19403, -0.201724], [0.501303, 0.200507, 0.136126, -0.666201, 0.169806, -0.690183, -0.43421]], "network.2.bias": [0.227278, -0.020104, 0.509286, 0.007652, -0.013232, 0.165754, 0.062062], "network.4.weight": [[0.009025, 0.456245, -0.016944, 0.204557, -0.037956, 0.386954, 0.654756], [-0.133252, -0.257264, 0.266944, 0.005164, -0.218952, -0.207492, 0.036044], [-0.127206, -0.16644, 0.347955, -0.053549, -0.092224, -0.357448, 0.157489], [-0.244788, -0.324391, -0.127233, 0.533284, -0.431553, 0.061796, 0.167108], [0.321961, 0.358524, 0.591466, -0.043768, 0.123014, 0.274525, 0.852089], [-0.306896, 0.105249, -0.377755, -0.423685, -0.443338, -0.455741, -0.036886], [0.052392, -0.256774, -0.459996, -0.094649, -0.339275, -0.478257, 0.07813]], "network.4.bias": [0.118071, -0.134408, -0.288802, -0.108438, 0.374609, -0.025516, 0.374492], "network.6.weight": [[0.328641, 0.102835, -0.232747, 0.311814, 0.539238, 0.136909, -0.509447], [0.323015, 0.027897, -0.013303, -0.353801, 0.272014, 0.04244, -0.340226], [0.119302, 0.033748, -0.154552, 0.094984, 0.402037, -0.049808, -0.360979], [-0.372632, -0.354213, 0.264207, 0.136893, -0.07685, -0.09238, -0.073573], [-0.594383, 0.200188, 0.202641, -0.298084, -0.561695, -0.601905, 0.052283], [-0.055961, -0.115958, -0.369054, -0.444716, -0.484727, 0.217007, -0.002482], [-0.485151, 0.098604, 0.20022, -0.190915, -0.226383, -0.16345, -0.141173]], "network.6.bias": [0.046219, -0.20013, 0.040227, -0.123091, -0.052472, -0.198402, -0.114039], "network.8.weight": [[-0.250357, -0.173069, -0.089895, 0.253048, -0.168053, 0.039127, 0.04586], [-0.31254, 0.304302, -0.000956, -0.368632, -0.480507, 0.012063, 0.014262], [0.124714, -0.524247, -0.033188, 0.094917, 0.131118, 0.100411, 0.144157], [-0.24759, -0.305845, -0.16406, -0.140588, 0.260563, -0.216156, -0.276077], [0.567854, 0.051189, 0.281149, 0.130688, -0.142789, -0.153558, -0.306159], [0.070818, -0.418069, -0.21423, -0.074359, -0.261031, 0.022447, 0.046037], [0.179693, -0.229685, -0.149666, -0.022249, -0.120181, 0.178132, -0.064609]], "network.8.bias": [-0.150025, -0.172364, 0.140125, -0.215957, 0.071136, 0.51339, -0.257754], "network.10.weight": [[-0.261048, -0.238761, 0.396833, -0.023059, -0.389721, 0.908246, -0.267299], [0.085498, -0.212619, 0.165302, -0.176769, 0.662909, -0.505676, 0.193188], [-0.136682, -0.144021, -0.221116, 0.306282, -0.234405, 0.286992, 0.099897], [0.12643, -0.163572, -0.443903, 0.05146, 0.406387, 0.049421, 0.230594], [0.351583, 0.356245, -0.227694, -0.06553, -0.080031, -0.234872, -0.346842], [-0.196218, -0.174267, 0.194758, -0.039355, -0.428675, 0.43981, 0.432195], [-0.266083, 0.225244, 0.168245, 0.327548, 0.432067, -0.289727, 0.012162]], "network.10.bias": [0.349558, -0.026476, -0.308189, -0.279141, -0.204368, 0.589022, -0.072133], "network.12.weight": [[-0.376604, 0.585614, 0.166301, 0.619789, -0.189671, -0.617009, 0.281585]], "network.12.bias": [-0.025214]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6981819272041321, "train_acc": 0.48, "val_loss": 0.7169233560562134, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.675440102815628, "train_acc": 0.58, "val_loss": 0.7655874490737915, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.7038934826850891, "train_acc": 0.58, "val_loss": 0.7251797318458557, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6819218397140503, "train_acc": 0.59, "val_loss": 0.6607775688171387, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.7015773057937622, "train_acc": 0.535, "val_loss": 0.6619595289230347, "val_acc": 0.62}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.67097008228302, "train_acc": 0.57, "val_loss": 0.562730610370636, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5988525152206421, "train_acc": 0.77, "val_loss": 0.5104550719261169, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5154452323913574, "train_acc": 0.8, "val_loss": 0.42596471309661865, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.492187038064003, "train_acc": 0.815, "val_loss": 0.4006790816783905, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.43515634536743164, "train_acc": 0.82, "val_loss": 0.3900289833545685, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3489362448453903, "train_acc": 0.855, "val_loss": 0.39311131834983826, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.3509322702884674, "train_acc": 0.84, "val_loss": 0.3515982925891876, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.2894519194960594, "train_acc": 0.87, "val_loss": 0.3284420073032379, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.2861151248216629, "train_acc": 0.88, "val_loss": 0.3167511820793152, "val_acc": 0.88}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7169233560562134, "final_val_loss": 0.6607775688171387, "initial_val_acc": 0.44, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.6619595289230347, "final_val_loss": 0.3167511820793152, "initial_val_acc": 0.62, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 7}, "improvement": 0.30000000000000004, "first_improvement_epoch": 3}}
|
9,675
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.48, "improved_accuracy": 0.8, "improvement": 0.32000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1906, "learning_rate": 0.02452312334389462, "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: 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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"network.0.bias": [
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"network.2.weight": [
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[
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## Activation Signature
### 0
mean: [-1.751283, -0.496675, 0.619063, -0.899185, -1.368226, 1.690406]
std: [1.377836, 1.203406, 1.660070, 1.379097, 1.895517, 1.637249]
pca: [[-0.051061, -0.528299, 0.043826, 0.789415, -0.305234, -0.005306, 0.000000, 0.000000, 0.000000, 0.000000], [0.431895, 0.065788, -0.273318, -0.039003, -0.339892, 0.785741, 0.000000, 0.000000, 0.000000, 0.000000], [-0.583057, -0.195485, -0.357138, 0.062288, 0.537904, 0.448400, 0.000000, 0.000000, 0.000000, 0.000000], [0.259757, -0.145340, 0.768531, 0.054321, 0.453106, 0.335419, 0.000000, 0.000000, 0.000000, 0.000000], [0.618629, -0.379484, -0.437858, -0.012957, 0.461493, -0.261586, 0.000000, 0.000000, 0.000000, 0.000000], [0.143977, 0.716398, -0.116056, 0.606881, 0.289284, -0.024229, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.417009, 19.105561, 19.943272, 27.701563, 157.615431], [20.382593, 21.891857, 22.199011, 27.052883, 44.700777], [25.973294, 28.406914, 28.899780, 36.145612, 55.715667], [21.931390, 23.163799, 25.616411, 26.771886, 80.926638], [31.492412, 34.774205, 36.446345, 42.106292, 123.140355], [25.056508, 25.069950, 28.402128, 30.098602, 152.136522]]
### 2
mean: [-0.168209, 0.192686, 0.769340, -0.375864, 0.873721, 1.074661]
std: [0.956877, 0.646929, 0.906917, 0.362343, 0.702802, 0.481633]
pca: [[0.624578, -0.112070, 0.620643, 0.000078, -0.266003, 0.376015, 0.000000, 0.000000, 0.000000, 0.000000], [0.338277, 0.468365, -0.298690, 0.756834, -0.057374, 0.029970, 0.000000, 0.000000, 0.000000, 0.000000], [-0.498509, 0.594076, 0.552513, 0.078567, 0.188924, 0.226774, 0.000000, 0.000000, 0.000000, 0.000000], [-0.189747, -0.240814, -0.329418, 0.078923, 0.131044, 0.879822, 0.000000, 0.000000, 0.000000, 0.000000], [0.450323, 0.250943, -0.099548, -0.338445, 0.779714, 0.042758, 0.000000, 0.000000, 0.000000, 0.000000], [0.090365, 0.542388, -0.319202, -0.547956, -0.514910, 0.174277, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.138818, 15.833853, 16.026689, 16.319334, 20.038866], [9.890354, 10.347258, 10.922599, 11.426746, 17.341702], [15.664104, 16.388779, 18.170141, 19.108454, 69.240583], [5.172509, 5.277604, 6.176542, 7.688306, 33.827767], [9.994998, 11.157006, 12.288011, 13.243007, 78.634927], [7.333813, 7.915795, 8.737569, 9.238659, 96.719524]]
### 4
mean: [0.164096, 0.775357, 0.302598, 0.644829, -0.276733, -0.376252]
std: [0.169086, 0.474497, 0.633296, 0.286405, 0.423120, 0.825235]
pca: [[0.060580, 0.331299, 0.793043, 0.113671, 0.493885, 0.028457, 0.000000, 0.000000, 0.000000, 0.000000], [-0.356424, -0.490390, 0.507934, 0.303728, -0.502980, -0.171005, 0.000000, 0.000000, 0.000000, 0.000000], [0.503847, -0.487763, 0.005751, 0.360860, 0.138591, 0.598970, 0.000000, 0.000000, 0.000000, 0.000000], [-0.208269, -0.327030, -0.269646, 0.417223, 0.609581, -0.480940, 0.000000, 0.000000, 0.000000, 0.000000], [-0.300624, 0.515297, -0.199862, 0.701721, -0.166086, 0.290091, 0.000000, 0.000000, 0.000000, 0.000000], [0.694032, 0.198408, 0.019968, 0.313243, -0.291046, -0.543807, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.845464, 2.869110, 3.010300, 3.098271, 14.768606], [8.095077, 9.083745, 9.447786, 10.309571, 69.782150], [9.324656, 9.795354, 10.010084, 11.848746, 27.233860], [4.896770, 5.572836, 5.576344, 6.369213, 58.034571], [6.494099, 6.967054, 6.981614, 7.292601, 24.905934], [12.588954, 13.843734, 14.253555, 17.747187, 33.862704]]
### 6
mean: [0.128501, -0.052326, 0.387078, 0.393490, 0.138620, 0.180386]
std: [0.529394, 0.499292, 0.443067, 0.436322, 0.342516, 0.225325]
pca: [[0.532644, 0.133509, -0.075868, 0.750476, 0.028133, 0.358755, 0.000000, 0.000000, 0.000000, 0.000000], [0.468226, 0.578095, -0.367045, -0.537761, 0.073780, 0.131221, 0.000000, 0.000000, 0.000000, 0.000000], [-0.420421, 0.471429, 0.479401, -0.018218, 0.209420, 0.571828, 0.000000, 0.000000, 0.000000, 0.000000], [-0.395459, 0.601759, -0.304177, 0.379097, -0.088981, -0.487178, 0.000000, 0.000000, 0.000000, 0.000000], [0.341949, 0.145306, 0.554866, 0.019158, 0.526551, -0.525793, 0.000000, 0.000000, 0.000000, 0.000000], [-0.216761, -0.206179, -0.478849, 0.056448, 0.815313, 0.115270, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.823643, 8.155540, 8.464483, 10.249363, 11.565086], [8.019404, 8.025290, 8.080257, 8.131274, 8.183021], [7.457325, 8.004063, 8.523421, 9.495772, 34.837018], [7.544512, 8.219835, 8.790212, 9.250584, 35.414081], [5.079743, 5.127085, 5.305565, 6.407877, 12.475835], [3.490458, 3.490767, 3.505362, 3.858334, 16.234765]]
### 8
mean: [-0.126628, -0.405115, 0.015969, -0.119264, 0.066819, -0.241943]
std: [0.058633, 0.226415, 0.294357, 0.523864, 0.527773, 0.167832]
pca: [[0.059628, 0.146038, 0.724262, 0.346086, 0.566985, 0.096513, 0.000000, 0.000000, 0.000000, 0.000000], [0.156820, 0.899583, -0.358256, 0.144352, 0.109241, 0.070991, 0.000000, 0.000000, 0.000000, 0.000000], [0.357027, -0.002142, 0.144513, 0.604032, -0.509082, -0.477099, 0.000000, 0.000000, 0.000000, 0.000000], [0.634811, -0.114782, -0.125334, -0.370420, 0.432994, -0.493393, 0.000000, 0.000000, 0.000000, 0.000000], [0.637925, -0.215741, -0.095516, 0.132328, -0.092012, 0.715128, 0.000000, 0.000000, 0.000000, 0.000000], [0.185609, 0.331211, 0.548982, -0.582932, -0.459870, 0.056371, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.004119, 1.008183, 1.057487, 1.235990, 11.396516], [4.196690, 4.307121, 4.353990, 4.577644, 36.460332], [4.153005, 4.660546, 4.670892, 5.040657, 5.473916], [8.404839, 8.431011, 8.958432, 9.535612, 10.733744], [7.822827, 8.590069, 8.657642, 9.076627, 9.390036], [2.792382, 2.818154, 2.985054, 3.489585, 21.774888]]
### 10
mean: [0.212506, 0.599500, -0.004444, -0.241529, -0.083192, -0.374149]
std: [0.147585, 0.140544, 0.088057, 0.324712, 0.349702, 0.043196]
pca: [[0.279124, 0.453653, -0.430988, -0.225713, -0.146441, 0.676865, 0.000000, 0.000000, 0.000000, 0.000000], [-0.265028, 0.711658, 0.473643, -0.371933, 0.197204, -0.147454, 0.000000, 0.000000, 0.000000, 0.000000], [-0.166135, 0.383476, -0.397848, 0.648719, 0.481129, -0.121412, 0.000000, 0.000000, 0.000000, 0.000000], [0.615316, -0.148331, 0.317397, -0.030411, 0.680823, 0.184928, 0.000000, 0.000000, 0.000000, 0.000000], [0.662619, 0.336479, 0.046646, 0.209091, -0.405652, -0.487103, 0.000000, 0.000000, 0.000000, 0.000000], [-0.081064, 0.073948, 0.573334, 0.587571, -0.283032, 0.483634, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.250138, 2.695131, 2.708494, 2.760017, 19.125521], [2.320660, 2.496714, 2.560550, 2.631391, 53.955000], [1.331181, 1.431880, 1.563725, 1.592061, 1.600989], [4.955453, 5.876721, 5.964753, 6.026037, 21.737610], [5.359415, 6.345557, 6.419910, 6.510227, 7.487322], [0.687627, 0.786749, 0.791980, 0.806842, 33.673439]]
### 12
mean: [-0.609104]
std: [0.230654]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.593131, 4.244770, 4.291648, 4.309804, 54.819349]]
## 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: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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],
"network.12.bias": [
-0.417911
]
}
## Activation Signature
### 0
mean: [-1.751283, -0.496675, 0.619063, -0.899185, -1.368226, 1.690406]
std: [1.377836, 1.203406, 1.660070, 1.379097, 1.895517, 1.637249]
pca: [[-0.051061, -0.528299, 0.043826, 0.789415, -0.305234, -0.005306, 0.000000, 0.000000, 0.000000, 0.000000], [0.431895, 0.065788, -0.273318, -0.039003, -0.339892, 0.785741, 0.000000, 0.000000, 0.000000, 0.000000], [-0.583057, -0.195485, -0.357138, 0.062288, 0.537904, 0.448400, 0.000000, 0.000000, 0.000000, 0.000000], [0.259757, -0.145340, 0.768531, 0.054321, 0.453106, 0.335419, 0.000000, 0.000000, 0.000000, 0.000000], [0.618629, -0.379484, -0.437858, -0.012957, 0.461493, -0.261586, 0.000000, 0.000000, 0.000000, 0.000000], [0.143977, 0.716398, -0.116056, 0.606881, 0.289284, -0.024229, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.417009, 19.105561, 19.943272, 27.701563, 157.615431], [20.382593, 21.891857, 22.199011, 27.052883, 44.700777], [25.973294, 28.406914, 28.899780, 36.145612, 55.715667], [21.931390, 23.163799, 25.616411, 26.771886, 80.926638], [31.492412, 34.774205, 36.446345, 42.106292, 123.140355], [25.056508, 25.069950, 28.402128, 30.098602, 152.136522]]
### 2
mean: [-0.168209, 0.192686, 0.769340, -0.375864, 0.873721, 1.074661]
std: [0.956877, 0.646929, 0.906917, 0.362343, 0.702802, 0.481633]
pca: [[0.624578, -0.112070, 0.620643, 0.000078, -0.266003, 0.376015, 0.000000, 0.000000, 0.000000, 0.000000], [0.338277, 0.468365, -0.298690, 0.756834, -0.057374, 0.029970, 0.000000, 0.000000, 0.000000, 0.000000], [-0.498509, 0.594076, 0.552513, 0.078567, 0.188924, 0.226774, 0.000000, 0.000000, 0.000000, 0.000000], [-0.189747, -0.240814, -0.329418, 0.078923, 0.131044, 0.879822, 0.000000, 0.000000, 0.000000, 0.000000], [0.450323, 0.250943, -0.099548, -0.338445, 0.779714, 0.042758, 0.000000, 0.000000, 0.000000, 0.000000], [0.090365, 0.542388, -0.319202, -0.547956, -0.514910, 0.174277, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.138818, 15.833853, 16.026689, 16.319334, 20.038866], [9.890354, 10.347258, 10.922599, 11.426746, 17.341702], [15.664104, 16.388779, 18.170141, 19.108454, 69.240583], [5.172509, 5.277604, 6.176542, 7.688306, 33.827767], [9.994998, 11.157006, 12.288011, 13.243007, 78.634927], [7.333813, 7.915795, 8.737569, 9.238659, 96.719524]]
### 4
mean: [0.164096, 0.775357, 0.302598, 0.644829, -0.276733, -0.376252]
std: [0.169086, 0.474497, 0.633296, 0.286405, 0.423120, 0.825235]
pca: [[0.060580, 0.331299, 0.793043, 0.113671, 0.493885, 0.028457, 0.000000, 0.000000, 0.000000, 0.000000], [-0.356424, -0.490390, 0.507934, 0.303728, -0.502980, -0.171005, 0.000000, 0.000000, 0.000000, 0.000000], [0.503847, -0.487763, 0.005751, 0.360860, 0.138591, 0.598970, 0.000000, 0.000000, 0.000000, 0.000000], [-0.208269, -0.327030, -0.269646, 0.417223, 0.609581, -0.480940, 0.000000, 0.000000, 0.000000, 0.000000], [-0.300624, 0.515297, -0.199862, 0.701721, -0.166086, 0.290091, 0.000000, 0.000000, 0.000000, 0.000000], [0.694032, 0.198408, 0.019968, 0.313243, -0.291046, -0.543807, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.845464, 2.869110, 3.010300, 3.098271, 14.768606], [8.095077, 9.083745, 9.447786, 10.309571, 69.782150], [9.324656, 9.795354, 10.010084, 11.848746, 27.233860], [4.896770, 5.572836, 5.576344, 6.369213, 58.034571], [6.494099, 6.967054, 6.981614, 7.292601, 24.905934], [12.588954, 13.843734, 14.253555, 17.747187, 33.862704]]
### 6
mean: [0.128501, -0.052326, 0.387078, 0.393490, 0.138620, 0.180386]
std: [0.529394, 0.499292, 0.443067, 0.436322, 0.342516, 0.225325]
pca: [[0.532644, 0.133509, -0.075868, 0.750476, 0.028133, 0.358755, 0.000000, 0.000000, 0.000000, 0.000000], [0.468226, 0.578095, -0.367045, -0.537761, 0.073780, 0.131221, 0.000000, 0.000000, 0.000000, 0.000000], [-0.420421, 0.471429, 0.479401, -0.018218, 0.209420, 0.571828, 0.000000, 0.000000, 0.000000, 0.000000], [-0.395459, 0.601759, -0.304177, 0.379097, -0.088981, -0.487178, 0.000000, 0.000000, 0.000000, 0.000000], [0.341949, 0.145306, 0.554866, 0.019158, 0.526551, -0.525793, 0.000000, 0.000000, 0.000000, 0.000000], [-0.216761, -0.206179, -0.478849, 0.056448, 0.815313, 0.115270, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.823643, 8.155540, 8.464483, 10.249363, 11.565086], [8.019404, 8.025290, 8.080257, 8.131274, 8.183021], [7.457325, 8.004063, 8.523421, 9.495772, 34.837018], [7.544512, 8.219835, 8.790212, 9.250584, 35.414081], [5.079743, 5.127085, 5.305565, 6.407877, 12.475835], [3.490458, 3.490767, 3.505362, 3.858334, 16.234765]]
### 8
mean: [-0.126628, -0.405115, 0.015969, -0.119264, 0.066819, -0.241943]
std: [0.058633, 0.226415, 0.294357, 0.523864, 0.527773, 0.167832]
pca: [[0.059628, 0.146038, 0.724262, 0.346086, 0.566985, 0.096513, 0.000000, 0.000000, 0.000000, 0.000000], [0.156820, 0.899583, -0.358256, 0.144352, 0.109241, 0.070991, 0.000000, 0.000000, 0.000000, 0.000000], [0.357027, -0.002142, 0.144513, 0.604032, -0.509082, -0.477099, 0.000000, 0.000000, 0.000000, 0.000000], [0.634811, -0.114782, -0.125334, -0.370420, 0.432994, -0.493393, 0.000000, 0.000000, 0.000000, 0.000000], [0.637925, -0.215741, -0.095516, 0.132328, -0.092012, 0.715128, 0.000000, 0.000000, 0.000000, 0.000000], [0.185609, 0.331211, 0.548982, -0.582932, -0.459870, 0.056371, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.004119, 1.008183, 1.057487, 1.235990, 11.396516], [4.196690, 4.307121, 4.353990, 4.577644, 36.460332], [4.153005, 4.660546, 4.670892, 5.040657, 5.473916], [8.404839, 8.431011, 8.958432, 9.535612, 10.733744], [7.822827, 8.590069, 8.657642, 9.076627, 9.390036], [2.792382, 2.818154, 2.985054, 3.489585, 21.774888]]
### 10
mean: [0.212506, 0.599500, -0.004444, -0.241529, -0.083192, -0.374149]
std: [0.147585, 0.140544, 0.088057, 0.324712, 0.349702, 0.043196]
pca: [[0.279124, 0.453653, -0.430988, -0.225713, -0.146441, 0.676865, 0.000000, 0.000000, 0.000000, 0.000000], [-0.265028, 0.711658, 0.473643, -0.371933, 0.197204, -0.147454, 0.000000, 0.000000, 0.000000, 0.000000], [-0.166135, 0.383476, -0.397848, 0.648719, 0.481129, -0.121412, 0.000000, 0.000000, 0.000000, 0.000000], [0.615316, -0.148331, 0.317397, -0.030411, 0.680823, 0.184928, 0.000000, 0.000000, 0.000000, 0.000000], [0.662619, 0.336479, 0.046646, 0.209091, -0.405652, -0.487103, 0.000000, 0.000000, 0.000000, 0.000000], [-0.081064, 0.073948, 0.573334, 0.587571, -0.283032, 0.483634, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.250138, 2.695131, 2.708494, 2.760017, 19.125521], [2.320660, 2.496714, 2.560550, 2.631391, 53.955000], [1.331181, 1.431880, 1.563725, 1.592061, 1.600989], [4.955453, 5.876721, 5.964753, 6.026037, 21.737610], [5.359415, 6.345557, 6.419910, 6.510227, 7.487322], [0.687627, 0.786749, 0.791980, 0.806842, 33.673439]]
### 12
mean: [-0.609104]
std: [0.230654]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.593131, 4.244770, 4.291648, 4.309804, 54.819349]]
## 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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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": [[-0.19848, -0.045441, 0.227077, -0.575931, -0.161411], [-0.4538, 0.238679, -0.242717, 0.129927, -0.085883], [0.618852, -0.086591, 0.36893, -0.137966, -0.440708], [-0.300025, -0.438681, -0.050149, -0.045178, 0.434724], [-0.63973, -0.053231, -0.187156, 0.091359, -0.488044], [-0.466901, 0.649466, 0.233076, 0.174539, 0.381428]], "network.0.bias": [-0.461694, -0.032564, 0.075472, -0.060967, 0.321836, -0.243618], "network.2.weight": [[-0.603418, -0.20114, -0.52855, -0.0991, -0.185681, 0.384222], [-0.126284, -0.022014, 0.001348, -0.503611, 0.070568, 0.432016], [0.059516, -0.471158, 0.590615, 0.462933, -0.536516, -0.068232], [0.321587, 0.1927, 0.031003, -0.027699, 0.100734, -0.239], [-0.629964, -0.010417, -0.158944, -0.293437, 0.446776, 0.423256], [-0.403558, 0.122196, 0.254814, -0.112165, 0.302454, 0.281721]], "network.2.bias": [-0.34896, -0.512704, 0.399095, -0.00487, 0.280941, 0.343217], "network.4.weight": [[0.099426, -0.332536, -0.233172, 0.105569, -0.024329, 0.112297], [-0.13316, -0.314629, 0.49265, -0.394077, 0.083333, 0.178678], [0.274684, 0.140349, -0.214319, -0.10041, 0.469505, 0.131315], [-0.165716, 0.033364, 0.462851, -0.055987, 0.239132, -0.228509], [-0.036847, 0.007134, 0.190318, 0.114699, -0.256379, -0.445955], [0.471315, 0.178394, -0.707816, 0.343977, 0.179787, 0.067578]], "network.4.bias": [0.318528, 0.24785, -0.123712, 0.354237, 0.219783, -0.162371], "network.6.weight": [[0.190197, -0.430059, 0.532433, -0.111899, 0.29186, 0.36103], [-0.437786, -0.426879, 0.563151, 0.254622, 0.316088, 0.51204], [-0.243887, 0.448248, -0.061029, 0.543369, -0.372798, -0.338668], [-0.236972, 0.549213, -0.117569, 0.457873, -0.472007, -0.06101], [-0.031545, -0.385295, 0.454534, 0.132072, 0.250404, 0.06801], [0.156923, 0.127267, -0.391657, 0.034346, -0.244881, 0.018519]], "network.6.bias": [0.274963, -0.039611, -0.127905, -0.145406, 0.19404, 0.171491], "network.8.weight": [[0.041188, 0.136186, 0.245241, -0.405626, -0.163931, 0.164903], [-0.106187, 0.036388, -0.291557, -0.435842, -0.110652, 0.271293], [0.466059, 0.24369, 0.112272, -0.347644, -0.202697, -0.177711], [0.450732, 0.401569, -0.241434, -0.119119, 0.401038, -0.189593], [0.497627, 0.517245, -0.418646, 0.090832, 0.140949, -0.333066], [0.017976, 0.270574, 0.182236, -0.549474, -0.213943, 0.008653]], "network.8.bias": [-0.092043, -0.184182, 0.044727, -0.12893, 0.080999, -0.122073], "network.10.weight": [[-0.183887, -0.094379, 0.343553, 0.408089, -0.134509, -0.141179], [-0.325139, -0.493592, 0.215875, -0.355366, -0.093074, -0.216606], [0.062511, 0.148991, -0.141621, 0.053774, -0.151229, -0.40253], [0.078001, -0.161685, 0.283302, 0.291225, 0.370681, 0.252219], [-0.195637, -0.189862, 0.506762, 0.44768, 0.230809, -0.018585], [-0.219045, -0.157744, -0.11503, -0.3075, 0.208282, 0.158819]], "network.10.bias": [0.165772, 0.517317, 0.004184, -0.302116, -0.183928, -0.401198], "network.12.weight": [[0.069641, -0.427449, -0.136461, 0.212934, 0.463969, -0.001826]], "network.12.bias": [-0.417911]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6816216707229614, "train_acc": 0.6, "val_loss": 0.7590130567550659, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6755816340446472, "train_acc": 0.6, "val_loss": 0.7414721846580505, "val_acc": 0.4}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6694729626178741, "train_acc": 0.6, "val_loss": 0.6892587542533875, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6587189733982086, "train_acc": 0.575, "val_loss": 0.5703675746917725, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6499863266944885, "train_acc": 0.65, "val_loss": 0.6068625450134277, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.632709801197052, "train_acc": 0.69, "val_loss": 0.6485353708267212, "val_acc": 0.6}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.6215903162956238, "train_acc": 0.685, "val_loss": 0.5418727993965149, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5944310128688812, "train_acc": 0.695, "val_loss": 0.4860338568687439, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.5733226537704468, "train_acc": 0.72, "val_loss": 0.48856300115585327, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.5561521649360657, "train_acc": 0.73, "val_loss": 0.5363559126853943, "val_acc": 0.74}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.546082615852356, "train_acc": 0.71, "val_loss": 0.529791533946991, "val_acc": 0.72}], "summary": {"total_epochs": 11, "degraded_epochs": 3, "improved_epochs": 8, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.7590130567550659, "final_val_loss": 0.6892587542533875, "initial_val_acc": 0.4, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5703675746917725, "final_val_loss": 0.529791533946991, "initial_val_acc": 0.74, "final_val_acc": 0.72, "best_val_acc": 0.8, "best_epoch": 8}, "improvement": 0.32000000000000006, "first_improvement_epoch": 2}}
|
9,676
|
{"target_pattern": "mountain_pattern", "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": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9535, "learning_rate": 0.049333044815034026, "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: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.176928,
0.522929,
0.237843
],
[
0.5296,
0.580371,
-0.165342,
-0.155505,
0.080322,
0.073648
],
[
0.158164,
0.669412,
-0.614716,
-0.901001,
0.210042,
0.243229
],
[
-0.198211,
-0.732746,
-0.379262,
-0.243759,
0.235103,
-0.14275
],
[
0.572235,
0.799925,
-0.692552,
-0.400774,
-0.127343,
0.017229
],
[
-0.728468,
-0.683755,
0.403841,
0.671635,
-0.153462,
-0.224157
]
],
"network.8.bias": [
-0.292351,
-0.122544,
0.478574,
-0.703759,
0.211243,
0.218556
],
"network.10.weight": [
[
-0.197584,
0.145153,
0.371189,
-0.440664,
0.719621,
-0.663696
]
],
"network.10.bias": [
0.094989
]
}
## Activation Signature
### 0
mean: [-2.430602, 2.224384, -2.026976, -0.490295, 1.843521, 1.046577]
std: [1.764482, 2.812145, 2.113900, 1.842888, 2.739492, 2.734235]
pca: [[-0.116578, -0.087911, 0.802924, 0.428100, -0.339584, -0.188170, 0.000000, 0.000000, 0.000000, 0.000000], [0.578781, -0.161480, 0.198841, -0.594686, -0.487194, 0.091596, 0.000000, 0.000000, 0.000000, 0.000000], [0.097350, 0.682634, 0.448462, -0.206879, 0.391948, 0.356361, 0.000000, 0.000000, 0.000000, 0.000000], [-0.349497, -0.321259, 0.033555, 0.025583, -0.163864, 0.863720, 0.000000, 0.000000, 0.000000, 0.000000], [0.487740, -0.543269, 0.191948, 0.195262, 0.618167, 0.099329, 0.000000, 0.000000, 0.000000, 0.000000], [0.530949, 0.319152, -0.276925, 0.617655, -0.291065, 0.270796, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.940423, 28.988505, 29.563368, 35.820652, 218.754202], [43.362096, 45.277037, 46.903956, 52.764209, 200.194519], [32.688775, 33.385461, 36.403181, 47.777755, 182.427825], [26.331910, 26.857478, 30.298089, 40.339032, 44.126516], [44.206967, 44.913611, 49.666271, 57.183659, 165.916922], [41.957724, 46.009304, 46.344562, 61.344862, 94.191971]]
### 2
mean: [-1.047688, -4.186126, -4.080353, 3.009188, -1.669297, 4.766310]
std: [1.323603, 4.344120, 4.212197, 3.441573, 2.402160, 5.544325]
pca: [[-0.097134, 0.735106, 0.201209, -0.538946, -0.317209, -0.136437, 0.000000, 0.000000, 0.000000, 0.000000], [-0.470646, 0.240646, -0.151557, 0.160611, -0.019662, 0.819408, 0.000000, 0.000000, 0.000000, 0.000000], [-0.454430, 0.372267, 0.043612, 0.369548, 0.582606, -0.420729, 0.000000, 0.000000, 0.000000, 0.000000], [0.372055, 0.075713, 0.695658, -0.082830, 0.493750, 0.348214, 0.000000, 0.000000, 0.000000, 0.000000], [-0.258021, -0.119481, 0.637210, 0.462902, -0.537640, -0.098886, 0.000000, 0.000000, 0.000000, 0.000000], [0.597956, 0.493070, -0.211348, 0.570996, -0.163451, 0.043711, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.104421, 25.587168, 25.716086, 26.152536, 94.291928], [71.086747, 74.163698, 77.037388, 80.133793, 376.751369], [69.275697, 71.354118, 76.768930, 78.006936, 367.231775], [57.506461, 58.390344, 59.010604, 62.917026, 270.827000], [39.038486, 39.991078, 40.173439, 45.581668, 150.236684], [90.842965, 93.400709, 95.431747, 95.578317, 428.967893]]
### 4
mean: [-3.547485, 3.988361, 4.110578, -1.795152, -1.273020, 6.249628]
std: [3.156767, 5.073772, 5.011226, 1.851268, 2.517084, 7.384599]
pca: [[-0.281962, 0.448775, 0.633489, -0.124595, 0.511478, -0.201633, 0.000000, 0.000000, 0.000000, 0.000000], [0.453513, 0.606643, -0.118672, -0.018159, -0.351416, -0.537033, 0.000000, 0.000000, 0.000000, 0.000000], [0.448194, 0.055068, -0.424153, -0.392156, 0.671300, 0.108409, 0.000000, 0.000000, 0.000000, 0.000000], [-0.164550, 0.646524, -0.202717, 0.147922, -0.097026, 0.694651, 0.000000, 0.000000, 0.000000, 0.000000], [-0.224978, 0.049178, -0.396746, 0.738018, 0.378169, -0.319181, 0.000000, 0.000000, 0.000000, 0.000000], [0.660495, -0.084504, 0.454093, 0.513623, 0.108752, 0.273441, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.991336, 54.053826, 54.275674, 55.947289, 319.273634], [83.336948, 84.504377, 86.637060, 87.045551, 358.952553], [83.687752, 84.066848, 84.445399, 85.960471, 369.951965], [30.918741, 31.219351, 31.751993, 34.420776, 161.563658], [41.507088, 41.546428, 42.288774, 42.967639, 114.571761], [121.889946, 123.650287, 126.747516, 127.291242, 562.466495]]
### 6
mean: [-2.457177, -3.281573, 9.017757, 8.307249, 0.286083, -3.902278]
std: [3.434132, 4.492394, 11.312981, 10.022601, 0.519279, 5.078566]
pca: [[-0.202659, 0.613435, 0.159495, 0.717977, -0.204199, -0.000363, 0.000000, 0.000000, 0.000000, 0.000000], [-0.265338, 0.472993, 0.097431, -0.648686, -0.520585, 0.067668, 0.000000, 0.000000, 0.000000, 0.000000], [0.668460, 0.411450, -0.204067, -0.072379, 0.157742, 0.558664, 0.000000, 0.000000, 0.000000, 0.000000], [0.592234, -0.214826, 0.527732, 0.083278, -0.527762, -0.197836, 0.000000, 0.000000, 0.000000, 0.000000], [0.030244, 0.297375, 0.658620, -0.215946, 0.618872, -0.217342, 0.000000, 0.000000, 0.000000, 0.000000], [-0.300051, -0.310003, 0.459503, 0.070065, -0.029608, 0.772618, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.169142, 56.171496, 57.011543, 58.697171, 221.145962], [72.560435, 73.818858, 74.475203, 77.096600, 295.341517], [187.487715, 189.190920, 190.084524, 194.767258, 811.598156], [164.238059, 166.535498, 167.251967, 172.367599, 747.652364], [8.699378, 8.937711, 9.230851, 9.302135, 25.747514], [84.602151, 85.014738, 85.772354, 87.459091, 351.205087]]
### 8
mean: [3.496530, -2.831176, -12.428592, -6.105789, -9.305655, 9.318308]
std: [4.822448, 3.455008, 15.951222, 6.602357, 11.996158, 11.316029]
pca: [[-0.196017, -0.219599, 0.739526, 0.511836, -0.157492, -0.282267, 0.000000, 0.000000, 0.000000, 0.000000], [0.140299, -0.451647, 0.095748, -0.029872, -0.491092, 0.724638, 0.000000, 0.000000, 0.000000, 0.000000], [0.648482, 0.094299, 0.232723, 0.299001, 0.577353, 0.306072, 0.000000, 0.000000, 0.000000, 0.000000], [0.268175, 0.757151, 0.298540, -0.134953, -0.495938, 0.038879, 0.000000, 0.000000, 0.000000, 0.000000], [0.487688, -0.139443, -0.470113, 0.483975, -0.392502, -0.365267, 0.000000, 0.000000, 0.000000, 0.000000], [-0.460008, 0.382331, -0.282207, 0.628718, 0.025995, 0.408183, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[79.425158, 80.550934, 80.732178, 83.078555, 314.687698], [55.703223, 56.349295, 57.053219, 59.402244, 254.805879], [260.716215, 265.615642, 265.884446, 274.992766, 1118.573363], [108.884352, 110.799336, 111.485629, 113.895144, 549.521018], [196.219499, 199.432369, 199.737855, 206.737904, 837.508948], [184.135359, 187.256291, 188.153843, 194.951218, 838.647759]]
### 10
mean: [-6.685126]
std: [8.545744]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[138.862307, 140.218375, 141.980277, 146.734906, 601.661368]]
## 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: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.057527,
-0.298249,
-0.118744,
-0.693957,
-0.006407
],
[
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0.623444,
0.067039,
-0.298361,
-0.125661
],
[
0.188865,
0.059969,
-0.088688,
-0.065174,
-1.129217
],
[
-0.605397,
-0.454799,
0.230347,
-0.109053,
0.535609
],
[
1.122236,
0.292598,
-0.210849,
-0.354803,
0.508137
],
[
0.868885,
0.846235,
-0.645845,
0.182453,
-0.37067
]
],
"network.0.bias": [
-0.071438,
0.411558,
-0.653561,
0.183938,
0.488375,
-0.161734
],
"network.2.weight": [
[
-0.845504,
-0.36726,
-0.023978,
-0.602812,
-0.298869,
0.394325
],
[
0.167382,
-0.499838,
0.436966,
-0.241312,
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-0.470998
],
[
0.021423,
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],
[
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0.293014,
-0.944533,
0.310432,
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],
[
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0.543857,
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],
[
-0.738814,
0.939362,
-0.964422,
-0.374637,
0.587973,
0.78293
]
],
"network.2.bias": [
-0.064206,
-0.538973,
-0.671293,
-0.021681,
0.073365,
0.369071
],
"network.4.weight": [
[
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0.688362,
-0.589518,
-0.086053,
-0.20835
],
[
0.007889,
0.488541,
0.271371,
0.112334,
-0.23982,
0.832807
],
[
0.203108,
0.160586,
0.5055,
0.434564,
-0.142912,
0.621966
],
[
0.180605,
0.080893,
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0.009626,
0.03165
],
[
0.17909,
-0.543326,
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-0.343805,
0.437082,
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],
[
-0.456472,
0.30961,
0.433449,
0.691654,
0.007166,
0.889626
]
],
"network.4.bias": [
-0.752294,
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-0.053388,
-0.232529,
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0.076369
],
"network.6.weight": [
[
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],
[
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0.027157,
0.718715,
-0.303093
],
[
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0.75208,
0.480473,
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0.682521
],
[
0.263424,
0.740643,
0.306283,
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-0.804243,
0.621662
],
[
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0.044747,
-0.019184,
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0.290865,
0.062873
],
[
0.266083,
-0.311058,
-0.269594,
0.038648,
-0.017925,
-0.289574
]
],
"network.6.bias": [
0.067921,
0.123913,
-0.15868,
0.376949,
-0.325661,
0.235959
],
"network.8.weight": [
[
-0.286912,
0.083608,
0.246178,
0.176928,
0.522929,
0.237843
],
[
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0.580371,
-0.165342,
-0.155505,
0.080322,
0.073648
],
[
0.158164,
0.669412,
-0.614716,
-0.901001,
0.210042,
0.243229
],
[
-0.198211,
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0.235103,
-0.14275
],
[
0.572235,
0.799925,
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0.017229
],
[
-0.728468,
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0.403841,
0.671635,
-0.153462,
-0.224157
]
],
"network.8.bias": [
-0.292351,
-0.122544,
0.478574,
-0.703759,
0.211243,
0.218556
],
"network.10.weight": [
[
-0.197584,
0.145153,
0.371189,
-0.440664,
0.719621,
-0.663696
]
],
"network.10.bias": [
0.094989
]
}
## Activation Signature
### 0
mean: [-2.430602, 2.224384, -2.026976, -0.490295, 1.843521, 1.046577]
std: [1.764482, 2.812145, 2.113900, 1.842888, 2.739492, 2.734235]
pca: [[-0.116578, -0.087911, 0.802924, 0.428100, -0.339584, -0.188170, 0.000000, 0.000000, 0.000000, 0.000000], [0.578781, -0.161480, 0.198841, -0.594686, -0.487194, 0.091596, 0.000000, 0.000000, 0.000000, 0.000000], [0.097350, 0.682634, 0.448462, -0.206879, 0.391948, 0.356361, 0.000000, 0.000000, 0.000000, 0.000000], [-0.349497, -0.321259, 0.033555, 0.025583, -0.163864, 0.863720, 0.000000, 0.000000, 0.000000, 0.000000], [0.487740, -0.543269, 0.191948, 0.195262, 0.618167, 0.099329, 0.000000, 0.000000, 0.000000, 0.000000], [0.530949, 0.319152, -0.276925, 0.617655, -0.291065, 0.270796, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.940423, 28.988505, 29.563368, 35.820652, 218.754202], [43.362096, 45.277037, 46.903956, 52.764209, 200.194519], [32.688775, 33.385461, 36.403181, 47.777755, 182.427825], [26.331910, 26.857478, 30.298089, 40.339032, 44.126516], [44.206967, 44.913611, 49.666271, 57.183659, 165.916922], [41.957724, 46.009304, 46.344562, 61.344862, 94.191971]]
### 2
mean: [-1.047688, -4.186126, -4.080353, 3.009188, -1.669297, 4.766310]
std: [1.323603, 4.344120, 4.212197, 3.441573, 2.402160, 5.544325]
pca: [[-0.097134, 0.735106, 0.201209, -0.538946, -0.317209, -0.136437, 0.000000, 0.000000, 0.000000, 0.000000], [-0.470646, 0.240646, -0.151557, 0.160611, -0.019662, 0.819408, 0.000000, 0.000000, 0.000000, 0.000000], [-0.454430, 0.372267, 0.043612, 0.369548, 0.582606, -0.420729, 0.000000, 0.000000, 0.000000, 0.000000], [0.372055, 0.075713, 0.695658, -0.082830, 0.493750, 0.348214, 0.000000, 0.000000, 0.000000, 0.000000], [-0.258021, -0.119481, 0.637210, 0.462902, -0.537640, -0.098886, 0.000000, 0.000000, 0.000000, 0.000000], [0.597956, 0.493070, -0.211348, 0.570996, -0.163451, 0.043711, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.104421, 25.587168, 25.716086, 26.152536, 94.291928], [71.086747, 74.163698, 77.037388, 80.133793, 376.751369], [69.275697, 71.354118, 76.768930, 78.006936, 367.231775], [57.506461, 58.390344, 59.010604, 62.917026, 270.827000], [39.038486, 39.991078, 40.173439, 45.581668, 150.236684], [90.842965, 93.400709, 95.431747, 95.578317, 428.967893]]
### 4
mean: [-3.547485, 3.988361, 4.110578, -1.795152, -1.273020, 6.249628]
std: [3.156767, 5.073772, 5.011226, 1.851268, 2.517084, 7.384599]
pca: [[-0.281962, 0.448775, 0.633489, -0.124595, 0.511478, -0.201633, 0.000000, 0.000000, 0.000000, 0.000000], [0.453513, 0.606643, -0.118672, -0.018159, -0.351416, -0.537033, 0.000000, 0.000000, 0.000000, 0.000000], [0.448194, 0.055068, -0.424153, -0.392156, 0.671300, 0.108409, 0.000000, 0.000000, 0.000000, 0.000000], [-0.164550, 0.646524, -0.202717, 0.147922, -0.097026, 0.694651, 0.000000, 0.000000, 0.000000, 0.000000], [-0.224978, 0.049178, -0.396746, 0.738018, 0.378169, -0.319181, 0.000000, 0.000000, 0.000000, 0.000000], [0.660495, -0.084504, 0.454093, 0.513623, 0.108752, 0.273441, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.991336, 54.053826, 54.275674, 55.947289, 319.273634], [83.336948, 84.504377, 86.637060, 87.045551, 358.952553], [83.687752, 84.066848, 84.445399, 85.960471, 369.951965], [30.918741, 31.219351, 31.751993, 34.420776, 161.563658], [41.507088, 41.546428, 42.288774, 42.967639, 114.571761], [121.889946, 123.650287, 126.747516, 127.291242, 562.466495]]
### 6
mean: [-2.457177, -3.281573, 9.017757, 8.307249, 0.286083, -3.902278]
std: [3.434132, 4.492394, 11.312981, 10.022601, 0.519279, 5.078566]
pca: [[-0.202659, 0.613435, 0.159495, 0.717977, -0.204199, -0.000363, 0.000000, 0.000000, 0.000000, 0.000000], [-0.265338, 0.472993, 0.097431, -0.648686, -0.520585, 0.067668, 0.000000, 0.000000, 0.000000, 0.000000], [0.668460, 0.411450, -0.204067, -0.072379, 0.157742, 0.558664, 0.000000, 0.000000, 0.000000, 0.000000], [0.592234, -0.214826, 0.527732, 0.083278, -0.527762, -0.197836, 0.000000, 0.000000, 0.000000, 0.000000], [0.030244, 0.297375, 0.658620, -0.215946, 0.618872, -0.217342, 0.000000, 0.000000, 0.000000, 0.000000], [-0.300051, -0.310003, 0.459503, 0.070065, -0.029608, 0.772618, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.169142, 56.171496, 57.011543, 58.697171, 221.145962], [72.560435, 73.818858, 74.475203, 77.096600, 295.341517], [187.487715, 189.190920, 190.084524, 194.767258, 811.598156], [164.238059, 166.535498, 167.251967, 172.367599, 747.652364], [8.699378, 8.937711, 9.230851, 9.302135, 25.747514], [84.602151, 85.014738, 85.772354, 87.459091, 351.205087]]
### 8
mean: [3.496530, -2.831176, -12.428592, -6.105789, -9.305655, 9.318308]
std: [4.822448, 3.455008, 15.951222, 6.602357, 11.996158, 11.316029]
pca: [[-0.196017, -0.219599, 0.739526, 0.511836, -0.157492, -0.282267, 0.000000, 0.000000, 0.000000, 0.000000], [0.140299, -0.451647, 0.095748, -0.029872, -0.491092, 0.724638, 0.000000, 0.000000, 0.000000, 0.000000], [0.648482, 0.094299, 0.232723, 0.299001, 0.577353, 0.306072, 0.000000, 0.000000, 0.000000, 0.000000], [0.268175, 0.757151, 0.298540, -0.134953, -0.495938, 0.038879, 0.000000, 0.000000, 0.000000, 0.000000], [0.487688, -0.139443, -0.470113, 0.483975, -0.392502, -0.365267, 0.000000, 0.000000, 0.000000, 0.000000], [-0.460008, 0.382331, -0.282207, 0.628718, 0.025995, 0.408183, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[79.425158, 80.550934, 80.732178, 83.078555, 314.687698], [55.703223, 56.349295, 57.053219, 59.402244, 254.805879], [260.716215, 265.615642, 265.884446, 274.992766, 1118.573363], [108.884352, 110.799336, 111.485629, 113.895144, 549.521018], [196.219499, 199.432369, 199.737855, 206.737904, 837.508948], [184.135359, 187.256291, 188.153843, 194.951218, 838.647759]]
### 10
mean: [-6.685126]
std: [8.545744]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[138.862307, 140.218375, 141.980277, 146.734906, 601.661368]]
## 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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[196.2194991313486, 199.43236875797376, 199.73785527331174, 206.7379044415436, 837.5089479386806]}, "5": {"mean": 9.318307876586914, "std": 11.316028594970703, "pca": [-0.4600079357624054, 0.38233059644699097, -0.2822074890136719, 0.6287175416946411, 0.02599543146789074, 0.4081830680370331, 0.0, 0.0, 0.0, 0.0], "fourier": [184.13535901106124, 187.25629141150966, 188.1538425662388, 194.9512178637175, 838.647758603096]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -6.685125827789307, "std": 8.545743942260742, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [138.86230662648052, 140.21837485064856, 141.98027743643047, 146.73490625313812, 601.6613680794835]}}, "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": "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": [[-0.057527, -0.298249, -0.118744, -0.693957, -0.006407], [1.069983, 0.623444, 0.067039, -0.298361, -0.125661], [0.188865, 0.059969, -0.088688, -0.065174, -1.129217], [-0.605397, -0.454799, 0.230347, -0.109053, 0.535609], [1.122236, 0.292598, -0.210849, -0.354803, 0.508137], [0.868885, 0.846235, -0.645845, 0.182453, -0.37067]], "network.0.bias": [-0.071438, 0.411558, -0.653561, 0.183938, 0.488375, -0.161734], "network.2.weight": [[-0.845504, -0.36726, -0.023978, -0.602812, -0.298869, 0.394325], [0.167382, -0.499838, 0.436966, -0.241312, -0.869048, -0.470998], [0.021423, -0.458608, -0.266346, -0.179328, -0.932106, -0.351446], [-0.697922, 0.293014, -0.944533, 0.310432, 0.577632, 0.681141], [1.238129, -0.245056, 0.344238, 0.543857, -0.489461, -0.23322], [-0.738814, 0.939362, -0.964422, -0.374637, 0.587973, 0.78293]], "network.2.bias": [-0.064206, -0.538973, -0.671293, -0.021681, 0.073365, 0.369071], "network.4.weight": [[-0.19446, 0.585887, 0.688362, -0.589518, -0.086053, -0.20835], [0.007889, 0.488541, 0.271371, 0.112334, -0.23982, 0.832807], [0.203108, 0.160586, 0.5055, 0.434564, -0.142912, 0.621966], [0.180605, 0.080893, -0.066863, -0.582344, 0.009626, 0.03165], [0.17909, -0.543326, -0.638408, -0.343805, 0.437082, -0.227408], [-0.456472, 0.30961, 0.433449, 0.691654, 0.007166, 0.889626]], "network.4.bias": [-0.752294, -0.216751, -0.053388, -0.232529, 0.73491, 0.076369], "network.6.weight": [[-0.600361, -0.215844, -0.328332, 0.378089, 0.784674, -0.075343], [-0.529549, -0.22005, -0.197978, 0.027157, 0.718715, -0.303093], [-0.346185, 0.75208, 0.480473, -0.492136, -0.245619, 0.682521], [0.263424, 0.740643, 0.306283, -0.573347, -0.804243, 0.621662], [-0.197902, 0.044747, -0.019184, -0.672702, 0.290865, 0.062873], [0.266083, -0.311058, -0.269594, 0.038648, -0.017925, -0.289574]], "network.6.bias": [0.067921, 0.123913, -0.15868, 0.376949, -0.325661, 0.235959], "network.8.weight": [[-0.286912, 0.083608, 0.246178, 0.176928, 0.522929, 0.237843], [0.5296, 0.580371, -0.165342, -0.155505, 0.080322, 0.073648], [0.158164, 0.669412, -0.614716, -0.901001, 0.210042, 0.243229], [-0.198211, -0.732746, -0.379262, -0.243759, 0.235103, -0.14275], [0.572235, 0.799925, -0.692552, -0.400774, -0.127343, 0.017229], [-0.728468, -0.683755, 0.403841, 0.671635, -0.153462, -0.224157]], "network.8.bias": [-0.292351, -0.122544, 0.478574, -0.703759, 0.211243, 0.218556], "network.10.weight": [[-0.197584, 0.145153, 0.371189, -0.440664, 0.719621, -0.663696]], "network.10.bias": [0.094989]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6820204854011536, "train_acc": 0.58, "val_loss": 0.6978686451911926, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6741896569728851, "train_acc": 0.58, "val_loss": 0.7025650143623352, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6496109962463379, "train_acc": 0.58, "val_loss": 0.6512269377708435, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.609545886516571, "train_acc": 0.565, "val_loss": 0.507363498210907, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4454183876514435, "train_acc": 0.815, "val_loss": 0.39686912298202515, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.3863026350736618, "train_acc": 0.815, "val_loss": 0.41042977571487427, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.42603708803653717, "train_acc": 0.85, "val_loss": 0.3840217888355255, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3244504779577255, "train_acc": 0.855, "val_loss": 0.40990543365478516, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.30859042704105377, "train_acc": 0.87, "val_loss": 0.39462485909461975, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2842515856027603, "train_acc": 0.875, "val_loss": 0.35738834738731384, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2820759266614914, "train_acc": 0.87, "val_loss": 0.3125101625919342, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2577543258666992, "train_acc": 0.89, "val_loss": 0.33031365275382996, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.28133080899715424, "train_acc": 0.88, "val_loss": 0.3345441520214081, "val_acc": 0.86}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6978686451911926, "final_val_loss": 0.6512269377708435, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.507363498210907, "final_val_loss": 0.3345441520214081, "initial_val_acc": 0.76, "final_val_acc": 0.86, "best_val_acc": 0.88, "best_epoch": 10}, "improvement": 0.38, "first_improvement_epoch": 2}}
|
9,677
|
{"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": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5710, "learning_rate": 0.038990725300107616, "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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}
## Activation Signature
### 0
mean: [2.722314, -0.067998, 1.466830, 1.061673, 0.794227, -0.105717]
std: [1.729467, 1.106312, 1.380865, 1.276393, 1.253773, 2.463148]
pca: [[0.446679, 0.509569, 0.112854, -0.340726, -0.639793, 0.051490, 0.000000, 0.000000, 0.000000, 0.000000], [-0.045686, 0.159879, 0.761031, 0.187664, 0.175764, 0.571902, 0.000000, 0.000000, 0.000000, 0.000000], [0.314118, 0.424774, -0.025866, -0.378878, 0.741724, -0.162866, 0.000000, 0.000000, 0.000000, 0.000000], [0.086972, 0.473366, 0.025593, 0.773108, -0.002655, -0.412313, 0.000000, 0.000000, 0.000000, 0.000000], [-0.164351, 0.379497, -0.622799, 0.150856, 0.049217, 0.644912, 0.000000, 0.000000, 0.000000, 0.000000], [0.815564, -0.407739, -0.137450, 0.291008, 0.084780, 0.240495, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.634103, 27.921315, 28.374498, 30.144561, 245.008244], [16.531937, 17.344281, 17.431582, 18.404974, 18.511778], [21.424913, 21.650850, 24.458795, 26.124699, 132.014683], [19.372913, 20.932573, 21.504764, 28.219087, 95.550542], [21.614813, 21.750784, 24.025645, 24.893474, 71.480408], [32.570624, 38.901879, 40.105985, 40.223858, 46.908085]]
### 2
mean: [0.364651, 1.593081, -0.663307, 3.333548, 1.267346, 1.452372]
std: [1.119467, 1.229671, 0.698340, 1.898147, 1.214232, 1.201032]
pca: [[-0.072770, 0.551805, -0.196204, -0.222221, 0.762972, 0.142164, 0.000000, 0.000000, 0.000000, 0.000000], [0.459336, -0.288078, 0.177758, -0.397058, 0.048583, 0.717222, 0.000000, 0.000000, 0.000000, 0.000000], [-0.231657, -0.193345, -0.326578, 0.706076, 0.140085, 0.533041, 0.000000, 0.000000, 0.000000, 0.000000], [0.795707, -0.131698, -0.250813, 0.315982, 0.262621, -0.343197, 0.000000, 0.000000, 0.000000, 0.000000], [0.221168, 0.527501, 0.674230, 0.433745, -0.088505, 0.149247, 0.000000, 0.000000, 0.000000, 0.000000], [0.219053, 0.528714, -0.552956, -0.080254, -0.564877, 0.202952, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.428105, 19.219948, 21.065373, 21.252290, 32.818630], [20.065160, 21.269413, 22.387347, 22.841277, 143.377326], [10.238158, 10.287628, 10.752546, 11.813556, 59.697628], [29.487213, 33.609447, 35.744965, 39.115939, 300.019320], [16.177722, 18.961987, 20.131636, 21.616444, 114.061119], [17.351228, 19.254454, 20.435580, 20.448308, 130.713488]]
### 4
mean: [-2.155754, 1.969557, -1.479698, -1.663920, -1.743151, 2.419741]
std: [1.114691, 1.854428, 0.639048, 0.774899, 1.020000, 1.839879]
pca: [[-0.452265, 0.016867, 0.276725, -0.220480, 0.782771, -0.239276, 0.000000, 0.000000, 0.000000, 0.000000], [0.199376, 0.892284, 0.234233, 0.284594, 0.126951, 0.110015, 0.000000, 0.000000, 0.000000, 0.000000], [-0.246978, -0.073417, -0.536264, 0.763243, 0.242292, -0.069194, 0.000000, 0.000000, 0.000000, 0.000000], [-0.291462, -0.144885, 0.211038, 0.101292, 0.067912, 0.913591, 0.000000, 0.000000, 0.000000, 0.000000], [-0.401448, -0.105375, 0.623216, 0.406288, -0.427869, -0.301987, 0.000000, 0.000000, 0.000000, 0.000000], [0.669773, -0.407504, 0.384765, 0.335449, 0.353219, -0.003277, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.731577, 20.375110, 20.907826, 23.455178, 194.017846], [26.976868, 31.458293, 31.675741, 33.723036, 177.260086], [10.657473, 10.884243, 11.192254, 11.554991, 133.172791], [12.678198, 13.000338, 14.237827, 14.878076, 149.752783], [16.643643, 17.812832, 18.854815, 21.331617, 156.883566], [30.730140, 30.800367, 32.977601, 35.129970, 217.776689]]
### 6
mean: [-0.378017, -0.074393, -0.266730, 2.152457, 0.479725, -0.384291]
std: [1.498341, 1.015640, 1.425581, 0.914336, 0.486093, 0.048293]
pca: [[0.635378, -0.029797, -0.469020, 0.047813, -0.031477, -0.610041, 0.000000, 0.000000, 0.000000, 0.000000], [0.430676, 0.021635, -0.438544, -0.167311, 0.042959, 0.769344, 0.000000, 0.000000, 0.000000, 0.000000], [0.602752, 0.123420, 0.681444, 0.358297, -0.106950, 0.131441, 0.000000, 0.000000, 0.000000, 0.000000], [-0.112262, 0.964003, -0.166295, 0.162834, -0.059277, -0.020336, 0.000000, 0.000000, 0.000000, 0.000000], [-0.185823, -0.231898, -0.309320, 0.865932, -0.219113, 0.134776, 0.000000, 0.000000, 0.000000, 0.000000], [0.019236, 0.018275, -0.000700, 0.254931, 0.966541, -0.010210, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.143339, 24.246641, 25.956877, 26.288957, 34.021572], [14.717452, 15.222480, 16.516935, 17.476392, 18.147774], [21.779279, 23.298708, 24.005705, 24.203278, 26.130066], [15.119589, 16.417212, 16.546739, 17.626586, 193.721169], [7.563102, 7.703284, 7.881871, 9.578950, 43.175222], [0.755921, 0.768162, 0.771644, 0.946527, 34.586144]]
### 8
mean: [-0.660081]
std: [1.027287]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.172289, 17.210271, 17.601420, 18.561006, 59.407271]]
## 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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0.639356,
0.532144
],
[
0.24678,
0.20518,
0.252499,
-0.377799,
-0.301753,
0.03357
],
[
-0.005518,
-0.157296,
-0.027305,
-0.210156,
0.003224,
-0.34258
],
[
-0.051218,
-0.023979,
-0.337471,
-0.468257,
0.18827,
-0.382656
],
[
-0.207097,
0.620936,
0.184215,
0.566779,
-0.096821,
-0.198741
]
],
"network.4.bias": [
-0.238193,
-0.135782,
-0.371427,
-0.21197,
0.214945,
0.075929
],
"network.6.weight": [
[
-0.005468,
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0.154227,
-0.120838,
-0.154303,
-0.64137
],
[
0.206571,
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0.36951,
-0.361369,
0.304253,
-0.420843
],
[
0.348718,
0.451043,
-0.233827,
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],
[
-0.083348,
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0.43176
],
[
0.308593,
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],
[
0.057132,
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0.374011,
-0.019195,
-0.013047
]
],
"network.6.bias": [
0.378968,
0.369441,
0.200208,
0.431147,
0.656764,
-0.39313
],
"network.8.weight": [
[
0.344338,
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0.544233,
-0.267976,
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],
"network.8.bias": [
-0.464124
]
}
## Activation Signature
### 0
mean: [2.722314, -0.067998, 1.466830, 1.061673, 0.794227, -0.105717]
std: [1.729467, 1.106312, 1.380865, 1.276393, 1.253773, 2.463148]
pca: [[0.446679, 0.509569, 0.112854, -0.340726, -0.639793, 0.051490, 0.000000, 0.000000, 0.000000, 0.000000], [-0.045686, 0.159879, 0.761031, 0.187664, 0.175764, 0.571902, 0.000000, 0.000000, 0.000000, 0.000000], [0.314118, 0.424774, -0.025866, -0.378878, 0.741724, -0.162866, 0.000000, 0.000000, 0.000000, 0.000000], [0.086972, 0.473366, 0.025593, 0.773108, -0.002655, -0.412313, 0.000000, 0.000000, 0.000000, 0.000000], [-0.164351, 0.379497, -0.622799, 0.150856, 0.049217, 0.644912, 0.000000, 0.000000, 0.000000, 0.000000], [0.815564, -0.407739, -0.137450, 0.291008, 0.084780, 0.240495, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.634103, 27.921315, 28.374498, 30.144561, 245.008244], [16.531937, 17.344281, 17.431582, 18.404974, 18.511778], [21.424913, 21.650850, 24.458795, 26.124699, 132.014683], [19.372913, 20.932573, 21.504764, 28.219087, 95.550542], [21.614813, 21.750784, 24.025645, 24.893474, 71.480408], [32.570624, 38.901879, 40.105985, 40.223858, 46.908085]]
### 2
mean: [0.364651, 1.593081, -0.663307, 3.333548, 1.267346, 1.452372]
std: [1.119467, 1.229671, 0.698340, 1.898147, 1.214232, 1.201032]
pca: [[-0.072770, 0.551805, -0.196204, -0.222221, 0.762972, 0.142164, 0.000000, 0.000000, 0.000000, 0.000000], [0.459336, -0.288078, 0.177758, -0.397058, 0.048583, 0.717222, 0.000000, 0.000000, 0.000000, 0.000000], [-0.231657, -0.193345, -0.326578, 0.706076, 0.140085, 0.533041, 0.000000, 0.000000, 0.000000, 0.000000], [0.795707, -0.131698, -0.250813, 0.315982, 0.262621, -0.343197, 0.000000, 0.000000, 0.000000, 0.000000], [0.221168, 0.527501, 0.674230, 0.433745, -0.088505, 0.149247, 0.000000, 0.000000, 0.000000, 0.000000], [0.219053, 0.528714, -0.552956, -0.080254, -0.564877, 0.202952, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.428105, 19.219948, 21.065373, 21.252290, 32.818630], [20.065160, 21.269413, 22.387347, 22.841277, 143.377326], [10.238158, 10.287628, 10.752546, 11.813556, 59.697628], [29.487213, 33.609447, 35.744965, 39.115939, 300.019320], [16.177722, 18.961987, 20.131636, 21.616444, 114.061119], [17.351228, 19.254454, 20.435580, 20.448308, 130.713488]]
### 4
mean: [-2.155754, 1.969557, -1.479698, -1.663920, -1.743151, 2.419741]
std: [1.114691, 1.854428, 0.639048, 0.774899, 1.020000, 1.839879]
pca: [[-0.452265, 0.016867, 0.276725, -0.220480, 0.782771, -0.239276, 0.000000, 0.000000, 0.000000, 0.000000], [0.199376, 0.892284, 0.234233, 0.284594, 0.126951, 0.110015, 0.000000, 0.000000, 0.000000, 0.000000], [-0.246978, -0.073417, -0.536264, 0.763243, 0.242292, -0.069194, 0.000000, 0.000000, 0.000000, 0.000000], [-0.291462, -0.144885, 0.211038, 0.101292, 0.067912, 0.913591, 0.000000, 0.000000, 0.000000, 0.000000], [-0.401448, -0.105375, 0.623216, 0.406288, -0.427869, -0.301987, 0.000000, 0.000000, 0.000000, 0.000000], [0.669773, -0.407504, 0.384765, 0.335449, 0.353219, -0.003277, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.731577, 20.375110, 20.907826, 23.455178, 194.017846], [26.976868, 31.458293, 31.675741, 33.723036, 177.260086], [10.657473, 10.884243, 11.192254, 11.554991, 133.172791], [12.678198, 13.000338, 14.237827, 14.878076, 149.752783], [16.643643, 17.812832, 18.854815, 21.331617, 156.883566], [30.730140, 30.800367, 32.977601, 35.129970, 217.776689]]
### 6
mean: [-0.378017, -0.074393, -0.266730, 2.152457, 0.479725, -0.384291]
std: [1.498341, 1.015640, 1.425581, 0.914336, 0.486093, 0.048293]
pca: [[0.635378, -0.029797, -0.469020, 0.047813, -0.031477, -0.610041, 0.000000, 0.000000, 0.000000, 0.000000], [0.430676, 0.021635, -0.438544, -0.167311, 0.042959, 0.769344, 0.000000, 0.000000, 0.000000, 0.000000], [0.602752, 0.123420, 0.681444, 0.358297, -0.106950, 0.131441, 0.000000, 0.000000, 0.000000, 0.000000], [-0.112262, 0.964003, -0.166295, 0.162834, -0.059277, -0.020336, 0.000000, 0.000000, 0.000000, 0.000000], [-0.185823, -0.231898, -0.309320, 0.865932, -0.219113, 0.134776, 0.000000, 0.000000, 0.000000, 0.000000], [0.019236, 0.018275, -0.000700, 0.254931, 0.966541, -0.010210, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.143339, 24.246641, 25.956877, 26.288957, 34.021572], [14.717452, 15.222480, 16.516935, 17.476392, 18.147774], [21.779279, 23.298708, 24.005705, 24.203278, 26.130066], [15.119589, 16.417212, 16.546739, 17.626586, 193.721169], [7.563102, 7.703284, 7.881871, 9.578950, 43.175222], [0.755921, 0.768162, 0.771644, 0.946527, 34.586144]]
### 8
mean: [-0.660081]
std: [1.027287]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.172289, 17.210271, 17.601420, 18.561006, 59.407271]]
## 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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"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": [[-0.129673, -0.159579, 0.456278, 0.459179, 0.523363], [0.14093, -0.191891, -0.064373, -0.285912, 0.441002], [-0.38463, 0.214032, 0.474689, 0.061523, 0.423416], [0.018921, 0.362464, -0.231884, 0.021997, 0.611061], [0.142288, 0.616616, -0.039234, 0.013133, -0.012505], [-0.916967, -0.396665, 0.084515, 0.625754, 0.207137]], "network.0.bias": [0.591196, 0.309978, -0.090251, 0.061201, -0.437237, -0.015698], "network.2.weight": [[0.016163, -0.747172, 0.191525, -0.169564, -0.389216, 0.619867], [0.246212, 0.290399, 0.053479, 0.520701, 0.365708, -0.445966], [-0.387159, 0.629643, 0.003075, -0.208634, 0.055483, 0.072752], [0.462479, 0.719063, 0.225861, 0.523868, 0.577159, -0.187094], [0.504712, -0.812416, 0.21136, -0.316204, 0.060177, 0.292267], [0.414004, -0.291197, -0.071901, -0.056851, -0.074142, 0.597686]], "network.2.bias": [0.339691, 0.182331, 0.260922, 0.481694, -0.056348, 0.172983], "network.4.weight": [[-0.126519, -0.301161, 0.249372, -0.39986, 0.171906, -0.177676], [0.559188, -0.211555, -0.058851, 0.142591, 0.639356, 0.532144], [0.24678, 0.20518, 0.252499, -0.377799, -0.301753, 0.03357], [-0.005518, -0.157296, -0.027305, -0.210156, 0.003224, -0.34258], [-0.051218, -0.023979, -0.337471, -0.468257, 0.18827, -0.382656], [-0.207097, 0.620936, 0.184215, 0.566779, -0.096821, -0.198741]], "network.4.bias": [-0.238193, -0.135782, -0.371427, -0.21197, 0.214945, 0.075929], "network.6.weight": [[-0.005468, 0.406791, 0.154227, -0.120838, -0.154303, -0.64137], [0.206571, 0.293698, 0.36951, -0.361369, 0.304253, -0.420843], [0.348718, 0.451043, -0.233827, -0.36028, 0.299656, -0.558054], [-0.083348, 0.339851, -0.086185, 0.093387, 0.193783, 0.43176], [0.308593, -0.2223, -0.384656, -0.194489, -0.244262, 0.107657], [0.057132, 0.020551, -0.330023, 0.374011, -0.019195, -0.013047]], "network.6.bias": [0.378968, 0.369441, 0.200208, 0.431147, 0.656764, -0.39313], "network.8.weight": [[0.344338, 0.432991, 0.544233, -0.267976, -0.32607, 0.195278]], "network.8.bias": [-0.464124]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6827559769153595, "train_acc": 0.58, "val_loss": 0.6883489489555359, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6708700954914093, "train_acc": 0.595, "val_loss": 0.6512336730957031, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6106620728969574, "train_acc": 0.725, "val_loss": 0.5539000034332275, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5370525419712067, "train_acc": 0.825, "val_loss": 0.5171763896942139, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4986363649368286, "train_acc": 0.84, "val_loss": 0.5247170925140381, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.45207177102565765, "train_acc": 0.875, "val_loss": 0.40423518419265747, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3970506489276886, "train_acc": 0.855, "val_loss": 0.36571434140205383, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3537840396165848, "train_acc": 0.895, "val_loss": 0.350099116563797, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3188588544726372, "train_acc": 0.835, "val_loss": 0.337067186832428, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.32140877842903137, "train_acc": 0.885, "val_loss": 0.2809695303440094, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.3252142667770386, "train_acc": 0.86, "val_loss": 0.273581862449646, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.30466166138648987, "train_acc": 0.915, "val_loss": 0.3184557855129242, "val_acc": 0.84}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6883489489555359, "final_val_loss": 0.6512336730957031, "initial_val_acc": 0.48, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.5539000034332275, "final_val_loss": 0.3184557855129242, "initial_val_acc": 0.78, "final_val_acc": 0.84, "best_val_acc": 0.88, "best_epoch": 6}, "improvement": 0.18000000000000005, "first_improvement_epoch": 1}}
|
9,678
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.5, "improved_accuracy": 0.92, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6008, "learning_rate": 0.06590357222247545, "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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.000156
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0.544793,
0.11206
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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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1.001652,
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],
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0.207619,
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],
[
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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.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": [
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0.067155,
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0.442677,
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],
"network.10.weight": [
[
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0.392966,
0.26137,
-0.767992,
-0.149436,
-0.250241,
-0.052741
]
],
"network.10.bias": [
0.056018
]
}
## Activation Signature
### 0
mean: [-2.214264, -4.892373, 0.510387, -0.908326, -1.376780, -1.201567, -1.090520, -4.039443]
std: [2.712049, 2.794619, 1.564666, 1.254628, 2.140370, 1.871798, 2.094327, 2.977042]
pca: [[0.442417, -0.459891, 0.298291, 0.399823, 0.447001, 0.186482, -0.310233, 0.114465, 0.000000, 0.000000], [0.552106, 0.405703, 0.014477, -0.087143, -0.268405, 0.508718, -0.145830, -0.413133, 0.000000, 0.000000], [-0.178971, 0.260970, 0.052796, 0.402939, 0.475079, 0.181589, 0.589168, -0.359058, 0.000000, 0.000000], [0.164128, 0.200696, -0.219416, -0.261635, 0.252505, 0.413224, 0.264532, 0.715330, 0.000000, 0.000000], [0.267177, -0.014044, 0.738738, -0.148914, -0.256436, -0.204513, 0.481443, 0.145389, 0.000000, 0.000000], [0.136113, 0.431322, 0.161799, -0.407304, 0.575248, -0.427431, -0.281024, -0.103807, 0.000000, 0.000000], [0.088668, 0.542313, 0.002768, 0.641793, -0.204946, -0.282193, -0.178184, 0.364340, 0.000000, 0.000000], [0.585410, -0.187566, -0.536621, 0.042021, 0.004095, -0.445585, 0.350545, -0.104603, 0.000000, 0.000000]]
fourier: [[38.538158, 45.983494, 51.575741, 56.519872, 199.283800], [46.105080, 46.275475, 52.390970, 56.380473, 440.313548], [20.947416, 20.955087, 26.539903, 28.436728, 45.934849], [17.001588, 19.118968, 20.792870, 22.187830, 81.749386], [34.773460, 35.412901, 35.714334, 39.476733, 123.910177], [28.476176, 29.122633, 30.675971, 41.265803, 108.141036], [33.182163, 34.497063, 36.246871, 38.010990, 98.146776], [46.474549, 49.364270, 51.762613, 53.136932, 363.549861]]
### 2
mean: [-0.984016, -0.104743, 0.718685, -0.619765, 0.327015, -0.442530, -1.004401, 0.351105]
std: [0.443153, 0.981800, 0.688162, 0.181116, 0.701283, 0.567555, 0.611227, 0.797969]
pca: [[-0.010799, 0.290819, 0.319401, 0.615095, -0.345496, 0.035081, 0.559164, -0.041068, 0.000000, 0.000000], [0.467566, 0.627773, -0.387334, -0.049601, -0.214652, -0.373531, -0.161982, -0.151512, 0.000000, 0.000000], [0.472381, -0.151660, 0.281265, -0.601497, -0.206733, -0.044408, 0.478590, 0.197959, 0.000000, 0.000000], [-0.001972, 0.122020, 0.186644, 0.142650, -0.111705, -0.166568, -0.320446, 0.887138, 0.000000, 0.000000], [0.485070, -0.226818, 0.026387, 0.370884, 0.672502, -0.316861, 0.142909, 0.043893, 0.000000, 0.000000], [0.044637, 0.459078, -0.246127, -0.099607, 0.417698, 0.638924, 0.249913, 0.267586, 0.000000, 0.000000], [0.035662, 0.396419, 0.755669, -0.156080, 0.268580, 0.039731, -0.321309, -0.263115, 0.000000, 0.000000], [0.565296, -0.253157, 0.041210, 0.255368, -0.283682, 0.565087, -0.378475, -0.079987, 0.000000, 0.000000]]
fourier: [[6.784936, 7.651743, 7.703021, 9.741102, 88.561477], [13.573444, 14.006028, 15.580226, 15.622306, 18.053773], [9.712007, 10.305543, 12.223832, 13.247282, 64.681680], [2.815822, 3.012267, 3.484865, 3.706120, 55.778878], [10.686571, 10.741692, 11.424046, 13.654764, 29.431359], [8.648305, 8.676353, 10.979664, 11.574506, 39.827708], [8.620515, 8.803048, 9.321263, 12.657571, 90.396057], [11.864833, 11.927662, 12.743355, 14.923036, 31.599470]]
### 4
mean: [1.275939, -0.590344, 0.369449, 0.295010, -0.028420, 1.184371, -0.047946, -0.676527]
std: [1.226931, 0.138688, 0.703888, 0.276442, 0.674411, 1.372972, 0.628591, 0.534038]
pca: [[0.549401, 0.042188, 0.157348, 0.517545, -0.039913, 0.395138, -0.173546, -0.464674, 0.000000, 0.000000], [-0.050844, 0.248152, 0.032837, -0.182172, -0.471071, -0.083842, 0.648305, -0.502328, 0.000000, 0.000000], [0.308954, 0.377973, 0.411546, -0.153056, 0.510642, -0.537840, 0.011126, -0.136882, 0.000000, 0.000000], [-0.059396, 0.743731, -0.336811, -0.227023, -0.162676, 0.144875, -0.477467, -0.054115, 0.000000, 0.000000], [-0.300476, 0.048975, 0.369145, -0.364365, 0.402321, 0.667498, 0.107707, -0.138813, 0.000000, 0.000000], [0.614748, 0.143138, 0.022892, -0.253783, -0.137129, 0.269764, 0.312792, 0.589281, 0.000000, 0.000000], [-0.273895, 0.227516, 0.702240, 0.281276, -0.428598, -0.029264, -0.138820, 0.311668, 0.000000, 0.000000], [-0.231027, 0.407419, -0.247828, 0.589671, 0.353436, 0.085981, 0.439060, 0.215458, 0.000000, 0.000000]]
fourier: [[17.422420, 17.423615, 18.900082, 19.300734, 114.834464], [2.003071, 2.015873, 2.137576, 2.329507, 53.130961], [10.123873, 10.359960, 10.708462, 12.957578, 33.250377], [4.231501, 4.306697, 4.356179, 4.531156, 26.550911], [9.153321, 9.248310, 10.148072, 10.177284, 10.657377], [19.253245, 19.527321, 21.551987, 22.136890, 106.593384], [8.644467, 8.726916, 8.936926, 9.747009, 9.771792], [7.813621, 8.125587, 8.188289, 8.359866, 60.887392]]
### 6
mean: [-0.109755, 1.745963, -0.694120, 0.231601, -1.214386, -0.990964, 0.221209, -0.696743]
std: [0.934004, 2.132221, 0.694207, 1.294699, 0.535573, 0.344188, 0.955360, 0.307654]
pca: [[-0.312685, 0.193589, -0.376920, 0.021934, 0.365692, 0.338681, -0.279455, 0.629024, 0.000000, 0.000000], [0.715847, 0.293735, 0.120032, 0.040450, 0.612825, 0.074474, 0.052594, -0.037049, 0.000000, 0.000000], [-0.230074, -0.284239, -0.458335, -0.246420, 0.508123, -0.170613, -0.108114, -0.544513, 0.000000, 0.000000], [-0.429544, 0.586085, 0.306642, 0.265308, 0.095290, 0.252396, -0.127692, -0.467429, 0.000000, 0.000000], [-0.172298, -0.433760, 0.257555, 0.727879, 0.340094, -0.223531, 0.063785, 0.127770, 0.000000, 0.000000], [-0.104443, -0.346849, 0.655479, -0.472879, 0.199586, 0.215765, -0.351255, 0.075834, 0.000000, 0.000000], [-0.319007, 0.303908, 0.207792, -0.332984, 0.245211, -0.531637, 0.497238, 0.248610, 0.000000, 0.000000], [-0.099949, -0.226148, -0.016074, -0.049702, 0.088431, 0.638575, 0.718645, -0.063947, 0.000000, 0.000000]]
fourier: [[12.725822, 12.877840, 12.916948, 14.283252, 15.020868], [29.885757, 30.210617, 33.618045, 33.810542, 157.136648], [10.276039, 10.379625, 10.866951, 11.256006, 62.470840], [17.494209, 17.872935, 20.844064, 21.176448, 21.415467], [7.787212, 7.908869, 8.086495, 10.352616, 109.294717], [4.862170, 5.047882, 5.138128, 7.578214, 89.186768], [12.987141, 13.203285, 15.170428, 15.683136, 19.908852], [4.422895, 4.626450, 4.820205, 5.797621, 62.706838]]
### 8
mean: [0.340131, -0.436127, 0.877751, 0.441910, 0.186491, -0.839266, -0.555287, -0.583464]
std: [2.084191, 0.302456, 1.182519, 0.790188, 2.206330, 0.419148, 0.110959, 0.638596]
pca: [[0.606146, -0.373598, -0.019520, -0.263308, 0.631407, -0.005061, -0.026499, -0.154587, 0.000000, 0.000000], [0.087505, 0.093151, -0.146114, 0.637051, 0.389992, 0.000625, 0.141240, 0.620032, 0.000000, 0.000000], [-0.340675, -0.456933, 0.188464, 0.261085, 0.116507, -0.409447, 0.545593, -0.304263, 0.000000, 0.000000], [-0.228336, -0.263568, -0.519537, 0.394303, 0.093756, 0.121258, -0.522313, -0.395849, 0.000000, 0.000000], [0.642961, -0.182767, -0.173639, 0.324375, -0.611421, -0.086715, 0.167868, -0.091057, 0.000000, 0.000000], [0.099441, 0.610773, -0.405061, -0.052636, 0.164067, -0.577466, 0.116255, -0.276264, 0.000000, 0.000000], [0.009530, 0.265821, -0.145894, 0.087283, 0.119250, 0.690285, 0.528243, -0.361374, 0.000000, 0.000000], [0.182633, 0.310455, 0.676256, 0.430798, 0.109055, -0.011979, -0.296869, -0.356632, 0.000000, 0.000000]]
fourier: [[28.567108, 29.256196, 30.611773, 35.377755, 35.574457], [4.169296, 4.430940, 4.619429, 4.885132, 39.251450], [16.399489, 17.106407, 18.375344, 19.031708, 78.997559], [10.810171, 11.629608, 12.307895, 12.766720, 39.771925], [29.472326, 30.116374, 31.595498, 36.573880, 37.391116], [6.673638, 6.906830, 6.988385, 7.442122, 75.533908], [1.576715, 1.583045, 1.837011, 2.087581, 49.975812], [8.892922, 9.082044, 9.987288, 10.191975, 52.511731]]
### 10
mean: [-1.079341]
std: [2.145034]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.687724, 33.473759, 37.732834, 40.335936, 97.140660]]
## 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: 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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"network.6.weight": [
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],
"network.10.bias": [
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}
## Activation Signature
### 0
mean: [-2.214264, -4.892373, 0.510387, -0.908326, -1.376780, -1.201567, -1.090520, -4.039443]
std: [2.712049, 2.794619, 1.564666, 1.254628, 2.140370, 1.871798, 2.094327, 2.977042]
pca: [[0.442417, -0.459891, 0.298291, 0.399823, 0.447001, 0.186482, -0.310233, 0.114465, 0.000000, 0.000000], [0.552106, 0.405703, 0.014477, -0.087143, -0.268405, 0.508718, -0.145830, -0.413133, 0.000000, 0.000000], [-0.178971, 0.260970, 0.052796, 0.402939, 0.475079, 0.181589, 0.589168, -0.359058, 0.000000, 0.000000], [0.164128, 0.200696, -0.219416, -0.261635, 0.252505, 0.413224, 0.264532, 0.715330, 0.000000, 0.000000], [0.267177, -0.014044, 0.738738, -0.148914, -0.256436, -0.204513, 0.481443, 0.145389, 0.000000, 0.000000], [0.136113, 0.431322, 0.161799, -0.407304, 0.575248, -0.427431, -0.281024, -0.103807, 0.000000, 0.000000], [0.088668, 0.542313, 0.002768, 0.641793, -0.204946, -0.282193, -0.178184, 0.364340, 0.000000, 0.000000], [0.585410, -0.187566, -0.536621, 0.042021, 0.004095, -0.445585, 0.350545, -0.104603, 0.000000, 0.000000]]
fourier: [[38.538158, 45.983494, 51.575741, 56.519872, 199.283800], [46.105080, 46.275475, 52.390970, 56.380473, 440.313548], [20.947416, 20.955087, 26.539903, 28.436728, 45.934849], [17.001588, 19.118968, 20.792870, 22.187830, 81.749386], [34.773460, 35.412901, 35.714334, 39.476733, 123.910177], [28.476176, 29.122633, 30.675971, 41.265803, 108.141036], [33.182163, 34.497063, 36.246871, 38.010990, 98.146776], [46.474549, 49.364270, 51.762613, 53.136932, 363.549861]]
### 2
mean: [-0.984016, -0.104743, 0.718685, -0.619765, 0.327015, -0.442530, -1.004401, 0.351105]
std: [0.443153, 0.981800, 0.688162, 0.181116, 0.701283, 0.567555, 0.611227, 0.797969]
pca: [[-0.010799, 0.290819, 0.319401, 0.615095, -0.345496, 0.035081, 0.559164, -0.041068, 0.000000, 0.000000], [0.467566, 0.627773, -0.387334, -0.049601, -0.214652, -0.373531, -0.161982, -0.151512, 0.000000, 0.000000], [0.472381, -0.151660, 0.281265, -0.601497, -0.206733, -0.044408, 0.478590, 0.197959, 0.000000, 0.000000], [-0.001972, 0.122020, 0.186644, 0.142650, -0.111705, -0.166568, -0.320446, 0.887138, 0.000000, 0.000000], [0.485070, -0.226818, 0.026387, 0.370884, 0.672502, -0.316861, 0.142909, 0.043893, 0.000000, 0.000000], [0.044637, 0.459078, -0.246127, -0.099607, 0.417698, 0.638924, 0.249913, 0.267586, 0.000000, 0.000000], [0.035662, 0.396419, 0.755669, -0.156080, 0.268580, 0.039731, -0.321309, -0.263115, 0.000000, 0.000000], [0.565296, -0.253157, 0.041210, 0.255368, -0.283682, 0.565087, -0.378475, -0.079987, 0.000000, 0.000000]]
fourier: [[6.784936, 7.651743, 7.703021, 9.741102, 88.561477], [13.573444, 14.006028, 15.580226, 15.622306, 18.053773], [9.712007, 10.305543, 12.223832, 13.247282, 64.681680], [2.815822, 3.012267, 3.484865, 3.706120, 55.778878], [10.686571, 10.741692, 11.424046, 13.654764, 29.431359], [8.648305, 8.676353, 10.979664, 11.574506, 39.827708], [8.620515, 8.803048, 9.321263, 12.657571, 90.396057], [11.864833, 11.927662, 12.743355, 14.923036, 31.599470]]
### 4
mean: [1.275939, -0.590344, 0.369449, 0.295010, -0.028420, 1.184371, -0.047946, -0.676527]
std: [1.226931, 0.138688, 0.703888, 0.276442, 0.674411, 1.372972, 0.628591, 0.534038]
pca: [[0.549401, 0.042188, 0.157348, 0.517545, -0.039913, 0.395138, -0.173546, -0.464674, 0.000000, 0.000000], [-0.050844, 0.248152, 0.032837, -0.182172, -0.471071, -0.083842, 0.648305, -0.502328, 0.000000, 0.000000], [0.308954, 0.377973, 0.411546, -0.153056, 0.510642, -0.537840, 0.011126, -0.136882, 0.000000, 0.000000], [-0.059396, 0.743731, -0.336811, -0.227023, -0.162676, 0.144875, -0.477467, -0.054115, 0.000000, 0.000000], [-0.300476, 0.048975, 0.369145, -0.364365, 0.402321, 0.667498, 0.107707, -0.138813, 0.000000, 0.000000], [0.614748, 0.143138, 0.022892, -0.253783, -0.137129, 0.269764, 0.312792, 0.589281, 0.000000, 0.000000], [-0.273895, 0.227516, 0.702240, 0.281276, -0.428598, -0.029264, -0.138820, 0.311668, 0.000000, 0.000000], [-0.231027, 0.407419, -0.247828, 0.589671, 0.353436, 0.085981, 0.439060, 0.215458, 0.000000, 0.000000]]
fourier: [[17.422420, 17.423615, 18.900082, 19.300734, 114.834464], [2.003071, 2.015873, 2.137576, 2.329507, 53.130961], [10.123873, 10.359960, 10.708462, 12.957578, 33.250377], [4.231501, 4.306697, 4.356179, 4.531156, 26.550911], [9.153321, 9.248310, 10.148072, 10.177284, 10.657377], [19.253245, 19.527321, 21.551987, 22.136890, 106.593384], [8.644467, 8.726916, 8.936926, 9.747009, 9.771792], [7.813621, 8.125587, 8.188289, 8.359866, 60.887392]]
### 6
mean: [-0.109755, 1.745963, -0.694120, 0.231601, -1.214386, -0.990964, 0.221209, -0.696743]
std: [0.934004, 2.132221, 0.694207, 1.294699, 0.535573, 0.344188, 0.955360, 0.307654]
pca: [[-0.312685, 0.193589, -0.376920, 0.021934, 0.365692, 0.338681, -0.279455, 0.629024, 0.000000, 0.000000], [0.715847, 0.293735, 0.120032, 0.040450, 0.612825, 0.074474, 0.052594, -0.037049, 0.000000, 0.000000], [-0.230074, -0.284239, -0.458335, -0.246420, 0.508123, -0.170613, -0.108114, -0.544513, 0.000000, 0.000000], [-0.429544, 0.586085, 0.306642, 0.265308, 0.095290, 0.252396, -0.127692, -0.467429, 0.000000, 0.000000], [-0.172298, -0.433760, 0.257555, 0.727879, 0.340094, -0.223531, 0.063785, 0.127770, 0.000000, 0.000000], [-0.104443, -0.346849, 0.655479, -0.472879, 0.199586, 0.215765, -0.351255, 0.075834, 0.000000, 0.000000], [-0.319007, 0.303908, 0.207792, -0.332984, 0.245211, -0.531637, 0.497238, 0.248610, 0.000000, 0.000000], [-0.099949, -0.226148, -0.016074, -0.049702, 0.088431, 0.638575, 0.718645, -0.063947, 0.000000, 0.000000]]
fourier: [[12.725822, 12.877840, 12.916948, 14.283252, 15.020868], [29.885757, 30.210617, 33.618045, 33.810542, 157.136648], [10.276039, 10.379625, 10.866951, 11.256006, 62.470840], [17.494209, 17.872935, 20.844064, 21.176448, 21.415467], [7.787212, 7.908869, 8.086495, 10.352616, 109.294717], [4.862170, 5.047882, 5.138128, 7.578214, 89.186768], [12.987141, 13.203285, 15.170428, 15.683136, 19.908852], [4.422895, 4.626450, 4.820205, 5.797621, 62.706838]]
### 8
mean: [0.340131, -0.436127, 0.877751, 0.441910, 0.186491, -0.839266, -0.555287, -0.583464]
std: [2.084191, 0.302456, 1.182519, 0.790188, 2.206330, 0.419148, 0.110959, 0.638596]
pca: [[0.606146, -0.373598, -0.019520, -0.263308, 0.631407, -0.005061, -0.026499, -0.154587, 0.000000, 0.000000], [0.087505, 0.093151, -0.146114, 0.637051, 0.389992, 0.000625, 0.141240, 0.620032, 0.000000, 0.000000], [-0.340675, -0.456933, 0.188464, 0.261085, 0.116507, -0.409447, 0.545593, -0.304263, 0.000000, 0.000000], [-0.228336, -0.263568, -0.519537, 0.394303, 0.093756, 0.121258, -0.522313, -0.395849, 0.000000, 0.000000], [0.642961, -0.182767, -0.173639, 0.324375, -0.611421, -0.086715, 0.167868, -0.091057, 0.000000, 0.000000], [0.099441, 0.610773, -0.405061, -0.052636, 0.164067, -0.577466, 0.116255, -0.276264, 0.000000, 0.000000], [0.009530, 0.265821, -0.145894, 0.087283, 0.119250, 0.690285, 0.528243, -0.361374, 0.000000, 0.000000], [0.182633, 0.310455, 0.676256, 0.430798, 0.109055, -0.011979, -0.296869, -0.356632, 0.000000, 0.000000]]
fourier: [[28.567108, 29.256196, 30.611773, 35.377755, 35.574457], [4.169296, 4.430940, 4.619429, 4.885132, 39.251450], [16.399489, 17.106407, 18.375344, 19.031708, 78.997559], [10.810171, 11.629608, 12.307895, 12.766720, 39.771925], [29.472326, 30.116374, 31.595498, 36.573880, 37.391116], [6.673638, 6.906830, 6.988385, 7.442122, 75.533908], [1.576715, 1.583045, 1.837011, 2.087581, 49.975812], [8.892922, 9.082044, 9.987288, 10.191975, 52.511731]]
### 10
mean: [-1.079341]
std: [2.145034]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.687724, 33.473759, 37.732834, 40.335936, 97.140660]]
## 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": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.18367, 0.318488, -0.205096, -0.576384, -1.15012], [-0.159452, -0.732133, -0.507109, -0.748773, 0.000156], [-0.471618, 0.084393, -0.048092, 0.544793, 0.11206], [0.137966, -0.117547, -0.596229, -0.205709, 0.254133], [0.313324, -0.94369, 0.247459, 0.010117, -0.866997], [0.329644, -0.699, -0.718068, 0.31828, 0.023855], [-0.943222, -0.292038, 0.100867, -0.029826, 0.318212], [-0.185835, 0.51141, -0.725962, -1.355902, -0.026293]], "network.0.bias": [0.516874, -0.695031, -0.262518, 0.507336, 0.483606, 0.449953, 0.076226, -0.283546], "network.2.weight": [[-0.519907, 0.078113, -0.278523, -0.370221, -0.192158, -0.101807, -0.510394, -0.001681], [-0.036266, -0.428125, -0.738109, -0.179842, 0.88205, -0.237901, 0.339594, 0.508299], [0.355002, 0.114795, -0.139719, 0.391663, 0.741274, 1.001652, 0.135284, -0.369343], [-0.217262, -0.39091, -0.133845, -0.068884, -0.134161, 0.000176, -0.188922, -0.11378], [0.193009, -0.242571, 0.107102, 0.421073, 1.259596, 0.613224, -0.452499, 0.786338], [-0.143404, -0.224606, -0.422889, -0.06846, -0.038642, -0.513633, 0.220728, 0.867636], [-0.509221, 0.08568, -0.510655, 0.192835, -0.621335, 0.207619, -0.429549, -0.185914], [0.105407, -0.229368, 0.034709, 0.103998, 1.380288, 0.919021, -0.238674, 0.808153]], "network.2.bias": [-0.443456, 0.375117, 0.29383, -0.392511, -0.231497, 0.050307, -0.332939, -0.232874], "network.4.weight": [[0.259279, 0.443023, 0.397478, 0.083461, 0.590554, 0.87116, 0.344761, 0.72709], [-0.009404, -0.220035, -0.050282, 0.13031, 0.110209, -0.352369, 0.190337, -0.113244], [-0.04739, -0.019574, 0.033959, -0.431434, 0.266944, 0.150765, -0.006654, 0.759505], [0.037307, -0.549676, 0.165088, -0.118094, 0.028985, -0.73572, 0.22785, -0.113228], [-0.08879, -0.341364, -0.483031, -0.320232, -0.32861, -0.393701, -0.068901, -0.10923], [0.078645, 0.497673, 0.51891, -0.110969, 0.569896, 0.30188, 0.343978, 0.827505], [0.116432, -0.522439, -0.616269, -0.091608, 0.09484, -0.030974, 0.226697, -0.184429], [0.123863, -0.533063, -0.036451, 0.162101, -0.200428, -0.067726, 0.09638, -0.308138]], "network.4.bias": [0.200524, -0.463769, -0.138617, 0.421721, 0.646797, -0.021116, 0.624336, -0.232024], "network.6.weight": [[-0.00788, 0.073249, -0.254159, 0.733572, 0.131833, -0.463782, 0.317645, -0.184747], [0.526479, 0.448964, 0.381308, -0.224025, -0.35932, 0.856457, 0.093178, -0.002651], [-0.249189, 0.337456, -0.255245, 0.160989, -0.120904, -0.213007, -0.318245, 0.303327], [-0.085714, 0.077573, -0.204112, 0.78212, 0.73978, -0.501623, 0.884675, 0.11555], [-0.317051, 0.065261, -0.215381, -0.554057, -0.154961, -0.052459, -0.130293, -0.423358], [-0.24417, 0.323191, -0.126481, -0.700675, 0.682489, 0.04333, -0.624776, -0.130028], [-0.355767, -0.22543, -0.133054, 0.404393, 0.635772, -0.154084, 0.353738, -0.074405], [0.060456, -0.227441, -0.152138, -0.108267, 0.098207, -0.231545, -0.31245, 0.266832]], "network.6.bias": [0.209279, 0.041424, 0.041576, 0.361091, -0.396892, -0.482553, 0.528464, -0.350878], "network.8.weight": [[0.453784, -0.580626, -0.182287, 0.767394, -0.144298, 0.259018, 0.631086, 0.084859], [-0.211797, -0.127581, 0.320424, 0.263556, -0.112266, -0.184452, -0.136258, -0.256154], [-0.034963, 0.519543, -0.288568, -0.244768, 0.215806, 0.226457, 0.144457, -0.059818], [-0.072334, 0.32884, -0.317691, 0.058232, -0.078027, 0.078219, -0.253297, -0.152738], [0.210488, -0.678797, 0.313857, 0.92539, -0.278817, 0.305802, 0.405052, -0.199211], [-0.171938, -0.292414, 0.281871, 0.028537, 0.366311, -0.015832, -0.51443, 0.20895], [-0.125562, -0.088651, -0.050196, -0.009704, 0.337763, 0.300661, -0.241519, 0.176232], [-0.251474, -0.288707, -0.021554, 0.023191, -0.187242, -0.167265, 0.186821, -0.256237]], "network.8.bias": [0.330456, -0.251866, 0.067155, -0.014131, 0.442677, -0.00626, -0.218963, -0.112718], "network.10.weight": [[-0.712796, -0.28765, 0.392966, 0.26137, -0.767992, -0.149436, -0.250241, -0.052741]], "network.10.bias": [0.056018]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6844291388988495, "train_acc": 0.51, "val_loss": 0.7068780660629272, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6848972141742706, "train_acc": 0.59, "val_loss": 0.7074222564697266, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6640126407146454, "train_acc": 0.59, "val_loss": 0.6712521910667419, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6648527085781097, "train_acc": 0.535, "val_loss": 0.5831118822097778, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5601170063018799, "train_acc": 0.715, "val_loss": 0.49045494198799133, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.49104587733745575, "train_acc": 0.755, "val_loss": 0.4613904058933258, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.45625874400138855, "train_acc": 0.795, "val_loss": 0.39857643842697144, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.40896186232566833, "train_acc": 0.785, "val_loss": 0.4421520233154297, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3998453617095947, "train_acc": 0.81, "val_loss": 0.34250500798225403, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.33942896127700806, "train_acc": 0.87, "val_loss": 0.2820490598678589, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3188789486885071, "train_acc": 0.87, "val_loss": 0.3230549693107605, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.3244830518960953, "train_acc": 0.855, "val_loss": 0.3073016107082367, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.253291592001915, "train_acc": 0.875, "val_loss": 0.3092809021472931, "val_acc": 0.9}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.7068780660629272, "final_val_loss": 0.6712521910667419, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5831118822097778, "final_val_loss": 0.3092809021472931, "initial_val_acc": 0.72, "final_val_acc": 0.9, "best_val_acc": 0.92, "best_epoch": 9}, "improvement": 0.42000000000000004, "first_improvement_epoch": 2}}
|
9,679
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.52, "improved_accuracy": 0.78, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4398, "learning_rate": 0.08731323807515132, "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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.480569,
0.2534
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],
"network.4.bias": [
0.001919,
0.348289,
-0.012826,
-0.110213,
-0.196836,
0.077877,
0.062464,
0.438681
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}
## Activation Signature
### 0
mean: [-1.630620, 0.719387, 1.123389, -2.180699, 1.521013, -1.436644, 2.030764, -0.082278]
std: [1.189581, 1.830971, 1.218738, 1.444193, 2.494509, 1.047740, 1.890265, 1.248918]
pca: [[-0.024620, -0.289565, 0.338466, 0.660494, 0.301216, -0.114451, -0.100104, -0.500883, 0.000000, 0.000000], [-0.262618, 0.653737, 0.273722, 0.403840, 0.125110, -0.179770, 0.011885, 0.466409, 0.000000, 0.000000], [0.244915, 0.236530, -0.423895, 0.232289, 0.255526, 0.542813, -0.538901, 0.008425, 0.000000, 0.000000], [-0.243207, -0.509117, 0.076080, 0.250647, -0.002217, 0.531823, 0.256876, 0.514017, 0.000000, 0.000000], [0.676494, -0.091191, 0.605003, -0.099621, -0.094652, 0.032395, -0.259214, 0.284406, 0.000000, 0.000000], [-0.149896, -0.356604, -0.145794, -0.200200, 0.547881, -0.454609, -0.388720, 0.362053, 0.000000, 0.000000], [0.532694, 0.059262, -0.260687, 0.115464, 0.458649, -0.107319, 0.633700, 0.089350, 0.000000, 0.000000], [-0.217756, 0.186116, 0.412067, -0.469619, 0.555721, 0.397324, 0.116479, -0.217582, 0.000000, 0.000000]]
fourier: [[18.186995, 18.819662, 18.936403, 21.391652, 146.755764], [26.762232, 28.112673, 29.623530, 30.771105, 64.744833], [17.179629, 19.306866, 24.064009, 25.324077, 101.105040], [21.554989, 24.178900, 24.244759, 27.437616, 196.262943], [40.477535, 45.025963, 46.815227, 52.006680, 136.891164], [15.976454, 17.074668, 19.485520, 22.088051, 129.297983], [31.767409, 32.098704, 32.367290, 32.818273, 182.768767], [16.824797, 20.006267, 20.645502, 22.181256, 23.789902]]
### 2
mean: [1.403052, -0.844343, -0.468838, 0.889699, 0.349650, 2.653497, 0.026054, -1.704760]
std: [1.882213, 0.373030, 1.560454, 1.247668, 1.447252, 2.205233, 1.034732, 1.155688]
pca: [[0.493004, 0.051779, 0.234422, 0.365488, -0.176521, -0.142060, 0.420047, 0.581335, 0.000000, 0.000000], [-0.056826, -0.142327, 0.208407, 0.581745, 0.740250, 0.187507, -0.017075, -0.105984, 0.000000, 0.000000], [-0.384487, 0.310263, 0.558195, -0.356943, 0.200410, 0.079607, -0.161070, 0.494441, 0.000000, 0.000000], [0.301602, -0.262376, 0.583793, -0.339943, 0.116216, -0.391433, 0.166864, -0.435029, 0.000000, 0.000000], [0.350789, -0.364597, -0.026122, -0.386786, 0.099477, 0.746379, 0.104882, 0.125507, 0.000000, 0.000000], [0.542633, 0.507162, -0.303223, -0.239373, 0.456874, -0.175266, -0.241294, 0.037661, 0.000000, 0.000000], [-0.204672, 0.451734, -0.085323, -0.116681, 0.126708, 0.167575, 0.791167, -0.251136, 0.000000, 0.000000], [-0.235647, -0.466637, -0.386407, -0.253978, 0.364027, -0.411366, 0.272605, 0.369939, 0.000000, 0.000000]]
fourier: [[30.441708, 33.420928, 35.522372, 38.748334, 126.274672], [5.476122, 6.226723, 6.942566, 8.415310, 75.990869], [23.402134, 23.636853, 27.887165, 37.391732, 42.195431], [18.856426, 19.829231, 22.589801, 27.545969, 80.072868], [22.586868, 22.789951, 25.662356, 31.468512, 33.583899], [35.882644, 37.335700, 38.720649, 40.602949, 238.814770], [15.243931, 15.600752, 15.748724, 18.370644, 24.323601], [17.137983, 21.965441, 22.846757, 24.490056, 153.428392]]
### 4
mean: [-2.032980, 1.055924, 2.794840, -0.579254, -0.970634, 0.123176, 0.876963, 2.143952]
std: [1.875857, 1.169325, 3.170336, 0.318371, 0.523230, 1.142816, 1.149493, 2.637675]
pca: [[-0.374056, -0.434969, 0.002110, 0.173567, 0.060149, 0.729892, -0.316689, 0.064050, 0.000000, 0.000000], [0.230253, -0.214577, 0.665409, -0.452839, -0.109391, 0.274978, 0.350050, -0.207350, 0.000000, 0.000000], [0.650815, 0.182816, -0.236212, 0.267870, -0.490124, 0.418614, -0.003041, -0.000940, 0.000000, 0.000000], [-0.005750, -0.293950, -0.116952, 0.387956, 0.166938, 0.024940, 0.779589, 0.336338, 0.000000, 0.000000], [-0.066659, -0.378046, 0.187019, 0.523632, -0.312967, -0.328888, -0.048307, -0.578811, 0.000000, 0.000000], [-0.182970, 0.666000, 0.324332, 0.398984, 0.297681, 0.270288, 0.146089, -0.274909, 0.000000, 0.000000], [0.232128, -0.034891, 0.578350, 0.325908, 0.037322, -0.185325, -0.344169, 0.591612, 0.000000, 0.000000], [0.540063, -0.239246, -0.114444, 0.054333, 0.726891, 0.014738, -0.165160, -0.281385, 0.000000, 0.000000]]
fourier: [[32.355090, 33.267904, 34.180966, 35.470022, 182.968206], [16.837401, 17.745850, 20.143728, 28.153215, 95.033140], [51.438143, 53.897804, 60.018388, 64.027391, 251.535643], [4.822614, 5.007756, 5.931977, 6.193730, 52.132869], [8.394167, 9.942596, 10.700896, 11.022157, 87.357043], [16.070601, 16.208706, 17.570722, 20.756564, 27.849647], [17.379145, 18.774449, 20.528244, 26.248412, 78.926703], [41.727124, 42.701540, 49.382870, 58.661703, 192.955694]]
### 6
mean: [-1.474192, 1.912633, -1.763769, -1.646635, -1.561143, 2.182865, 2.443923, -1.179204]
std: [1.599855, 1.675728, 1.432255, 2.197461, 1.066671, 2.374195, 3.046678, 0.955230]
pca: [[-0.294561, -0.458027, -0.137234, -0.238060, 0.384625, 0.075941, -0.370329, 0.580596, 0.000000, 0.000000], [0.307738, 0.540193, -0.358155, 0.010319, 0.441153, 0.450791, 0.156584, 0.250521, 0.000000, 0.000000], [-0.265213, -0.240194, 0.058416, -0.230184, 0.464480, -0.058559, 0.735473, -0.235541, 0.000000, 0.000000], [-0.406990, 0.309360, 0.694432, 0.007691, 0.176976, 0.413782, -0.209332, -0.100021, 0.000000, 0.000000], [-0.196862, -0.238502, -0.381239, -0.239307, -0.346550, 0.672833, -0.035504, -0.357336, 0.000000, 0.000000], [0.440313, -0.282390, 0.040115, 0.077556, 0.501607, 0.023470, -0.403736, -0.550992, 0.000000, 0.000000], [0.564902, -0.369350, 0.462702, -0.095134, -0.187777, 0.345709, 0.262691, 0.312315, 0.000000, 0.000000], [-0.175523, -0.268251, -0.078725, 0.904347, 0.058460, 0.208821, 0.142572, 0.076425, 0.000000, 0.000000]]
fourier: [[26.863675, 28.077007, 30.438789, 30.988869, 132.677300], [28.534717, 29.406523, 31.603153, 32.196996, 172.136964], [24.131975, 24.359315, 26.967533, 29.089875, 158.739151], [34.354686, 36.466416, 39.899318, 49.088476, 148.197180], [18.039304, 18.463804, 20.487373, 20.929597, 140.502852], [37.530582, 39.619524, 43.788902, 52.227482, 196.457817], [48.389876, 50.733510, 56.441136, 66.782226, 219.953088], [15.913410, 16.812797, 18.190287, 18.221035, 106.128345]]
### 8
mean: [2.057588, -1.170411, -1.189760, -1.197370, 0.967198, -2.104360, -0.495645, 1.346288]
std: [2.203894, 1.888180, 0.852709, 0.885562, 1.241785, 2.095066, 0.270569, 1.429874]
pca: [[0.520892, -0.084314, 0.469781, -0.264305, 0.067572, -0.310914, 0.564726, -0.104224, 0.000000, 0.000000], [-0.444499, -0.563244, 0.621369, 0.044911, -0.203469, -0.027327, -0.186791, -0.141500, 0.000000, 0.000000], [-0.197012, 0.629357, 0.234242, 0.328079, -0.500718, -0.377624, 0.075307, -0.060011, 0.000000, 0.000000], [-0.209005, 0.177110, 0.138189, 0.292016, 0.790180, -0.260426, -0.062113, -0.352868, 0.000000, 0.000000], [0.293267, -0.205003, 0.091578, 0.445709, 0.110061, -0.354938, -0.251622, 0.680820, 0.000000, 0.000000], [-0.495085, 0.227255, 0.199395, -0.319128, 0.243627, 0.128791, 0.330363, 0.613648, 0.000000, 0.000000], [-0.062547, -0.195169, -0.079945, 0.650951, -0.029624, 0.387195, 0.613909, -0.013685, 0.000000, 0.000000], [0.337000, 0.341213, 0.514494, 0.104786, 0.081157, 0.632200, -0.295511, 0.027028, 0.000000, 0.000000]]
fourier: [[36.376685, 36.948234, 41.356353, 45.898260, 185.182966], [29.392810, 31.972073, 34.876468, 41.043807, 105.337016], [14.795686, 15.159973, 15.308090, 16.216899, 107.078413], [14.821729, 14.964002, 16.765462, 17.654011, 107.763333], [20.824473, 20.950439, 23.383138, 25.152499, 87.047808], [34.721806, 35.476510, 39.453458, 42.692812, 189.392393], [4.030337, 4.358303, 4.843581, 6.295666, 44.608052], [22.823974, 23.822339, 26.399418, 31.377781, 121.165882]]
### 10
mean: [-0.491558, -0.355531, -0.324981, -0.807032, -0.607587, 1.478326, 1.241980, 1.020135]
std: [0.262462, 0.212227, 0.111588, 0.495180, 0.147576, 1.624139, 1.303230, 1.281443]
pca: [[-0.096677, -0.371386, -0.561500, 0.223237, 0.071488, 0.026806, 0.423479, -0.549951, 0.000000, 0.000000], [-0.083159, 0.142587, -0.162321, 0.304401, 0.272166, 0.310986, 0.509615, 0.650578, 0.000000, 0.000000], [0.032691, -0.279826, 0.645760, -0.193756, 0.272759, -0.267861, 0.555936, -0.104261, 0.000000, 0.000000], [-0.191524, -0.442372, -0.108532, -0.303416, 0.669884, 0.215066, -0.394823, 0.113588, 0.000000, 0.000000], [-0.054431, -0.207018, 0.369655, 0.081027, -0.288068, 0.832165, 0.004828, -0.188324, 0.000000, 0.000000], [0.646708, -0.211872, -0.274147, -0.563276, -0.220991, 0.134814, 0.189117, 0.204121, 0.000000, 0.000000], [0.516914, -0.459000, 0.125529, 0.631359, 0.028789, -0.151184, -0.245132, 0.154827, 0.000000, 0.000000], [0.507536, 0.518959, 0.045014, 0.073779, 0.514804, 0.225914, -0.011429, -0.386558, 0.000000, 0.000000]]
fourier: [[4.537002, 4.757981, 4.886846, 5.121375, 44.240178], [3.218737, 3.561509, 3.611896, 5.105860, 31.997789], [1.469479, 1.701944, 2.027942, 2.879150, 29.248253], [8.396520, 8.716724, 8.813757, 9.612167, 72.632832], [2.586591, 2.660178, 2.750488, 2.859260, 54.682872], [25.925270, 27.845967, 29.320291, 36.138697, 133.049323], [20.448688, 22.354438, 22.964055, 29.958750, 111.778211], [21.522996, 21.634345, 24.266361, 25.673355, 91.812116]]
### 12
mean: [-0.916482]
std: [1.127688]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.279479, 19.278058, 20.740297, 23.945050, 82.483327]]
## 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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.06356
],
[
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[
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],
[
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],
[
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0.038017,
-0.069909
],
[
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]
],
"network.0.bias": [
-0.335821,
0.087736,
-0.426073,
0.082454,
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-0.127934,
0.118018,
0.20172
],
"network.2.weight": [
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[
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0.065685,
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0.386168,
0.315471,
0.087406,
0.476645
],
[
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## Activation Signature
### 0
mean: [-1.630620, 0.719387, 1.123389, -2.180699, 1.521013, -1.436644, 2.030764, -0.082278]
std: [1.189581, 1.830971, 1.218738, 1.444193, 2.494509, 1.047740, 1.890265, 1.248918]
pca: [[-0.024620, -0.289565, 0.338466, 0.660494, 0.301216, -0.114451, -0.100104, -0.500883, 0.000000, 0.000000], [-0.262618, 0.653737, 0.273722, 0.403840, 0.125110, -0.179770, 0.011885, 0.466409, 0.000000, 0.000000], [0.244915, 0.236530, -0.423895, 0.232289, 0.255526, 0.542813, -0.538901, 0.008425, 0.000000, 0.000000], [-0.243207, -0.509117, 0.076080, 0.250647, -0.002217, 0.531823, 0.256876, 0.514017, 0.000000, 0.000000], [0.676494, -0.091191, 0.605003, -0.099621, -0.094652, 0.032395, -0.259214, 0.284406, 0.000000, 0.000000], [-0.149896, -0.356604, -0.145794, -0.200200, 0.547881, -0.454609, -0.388720, 0.362053, 0.000000, 0.000000], [0.532694, 0.059262, -0.260687, 0.115464, 0.458649, -0.107319, 0.633700, 0.089350, 0.000000, 0.000000], [-0.217756, 0.186116, 0.412067, -0.469619, 0.555721, 0.397324, 0.116479, -0.217582, 0.000000, 0.000000]]
fourier: [[18.186995, 18.819662, 18.936403, 21.391652, 146.755764], [26.762232, 28.112673, 29.623530, 30.771105, 64.744833], [17.179629, 19.306866, 24.064009, 25.324077, 101.105040], [21.554989, 24.178900, 24.244759, 27.437616, 196.262943], [40.477535, 45.025963, 46.815227, 52.006680, 136.891164], [15.976454, 17.074668, 19.485520, 22.088051, 129.297983], [31.767409, 32.098704, 32.367290, 32.818273, 182.768767], [16.824797, 20.006267, 20.645502, 22.181256, 23.789902]]
### 2
mean: [1.403052, -0.844343, -0.468838, 0.889699, 0.349650, 2.653497, 0.026054, -1.704760]
std: [1.882213, 0.373030, 1.560454, 1.247668, 1.447252, 2.205233, 1.034732, 1.155688]
pca: [[0.493004, 0.051779, 0.234422, 0.365488, -0.176521, -0.142060, 0.420047, 0.581335, 0.000000, 0.000000], [-0.056826, -0.142327, 0.208407, 0.581745, 0.740250, 0.187507, -0.017075, -0.105984, 0.000000, 0.000000], [-0.384487, 0.310263, 0.558195, -0.356943, 0.200410, 0.079607, -0.161070, 0.494441, 0.000000, 0.000000], [0.301602, -0.262376, 0.583793, -0.339943, 0.116216, -0.391433, 0.166864, -0.435029, 0.000000, 0.000000], [0.350789, -0.364597, -0.026122, -0.386786, 0.099477, 0.746379, 0.104882, 0.125507, 0.000000, 0.000000], [0.542633, 0.507162, -0.303223, -0.239373, 0.456874, -0.175266, -0.241294, 0.037661, 0.000000, 0.000000], [-0.204672, 0.451734, -0.085323, -0.116681, 0.126708, 0.167575, 0.791167, -0.251136, 0.000000, 0.000000], [-0.235647, -0.466637, -0.386407, -0.253978, 0.364027, -0.411366, 0.272605, 0.369939, 0.000000, 0.000000]]
fourier: [[30.441708, 33.420928, 35.522372, 38.748334, 126.274672], [5.476122, 6.226723, 6.942566, 8.415310, 75.990869], [23.402134, 23.636853, 27.887165, 37.391732, 42.195431], [18.856426, 19.829231, 22.589801, 27.545969, 80.072868], [22.586868, 22.789951, 25.662356, 31.468512, 33.583899], [35.882644, 37.335700, 38.720649, 40.602949, 238.814770], [15.243931, 15.600752, 15.748724, 18.370644, 24.323601], [17.137983, 21.965441, 22.846757, 24.490056, 153.428392]]
### 4
mean: [-2.032980, 1.055924, 2.794840, -0.579254, -0.970634, 0.123176, 0.876963, 2.143952]
std: [1.875857, 1.169325, 3.170336, 0.318371, 0.523230, 1.142816, 1.149493, 2.637675]
pca: [[-0.374056, -0.434969, 0.002110, 0.173567, 0.060149, 0.729892, -0.316689, 0.064050, 0.000000, 0.000000], [0.230253, -0.214577, 0.665409, -0.452839, -0.109391, 0.274978, 0.350050, -0.207350, 0.000000, 0.000000], [0.650815, 0.182816, -0.236212, 0.267870, -0.490124, 0.418614, -0.003041, -0.000940, 0.000000, 0.000000], [-0.005750, -0.293950, -0.116952, 0.387956, 0.166938, 0.024940, 0.779589, 0.336338, 0.000000, 0.000000], [-0.066659, -0.378046, 0.187019, 0.523632, -0.312967, -0.328888, -0.048307, -0.578811, 0.000000, 0.000000], [-0.182970, 0.666000, 0.324332, 0.398984, 0.297681, 0.270288, 0.146089, -0.274909, 0.000000, 0.000000], [0.232128, -0.034891, 0.578350, 0.325908, 0.037322, -0.185325, -0.344169, 0.591612, 0.000000, 0.000000], [0.540063, -0.239246, -0.114444, 0.054333, 0.726891, 0.014738, -0.165160, -0.281385, 0.000000, 0.000000]]
fourier: [[32.355090, 33.267904, 34.180966, 35.470022, 182.968206], [16.837401, 17.745850, 20.143728, 28.153215, 95.033140], [51.438143, 53.897804, 60.018388, 64.027391, 251.535643], [4.822614, 5.007756, 5.931977, 6.193730, 52.132869], [8.394167, 9.942596, 10.700896, 11.022157, 87.357043], [16.070601, 16.208706, 17.570722, 20.756564, 27.849647], [17.379145, 18.774449, 20.528244, 26.248412, 78.926703], [41.727124, 42.701540, 49.382870, 58.661703, 192.955694]]
### 6
mean: [-1.474192, 1.912633, -1.763769, -1.646635, -1.561143, 2.182865, 2.443923, -1.179204]
std: [1.599855, 1.675728, 1.432255, 2.197461, 1.066671, 2.374195, 3.046678, 0.955230]
pca: [[-0.294561, -0.458027, -0.137234, -0.238060, 0.384625, 0.075941, -0.370329, 0.580596, 0.000000, 0.000000], [0.307738, 0.540193, -0.358155, 0.010319, 0.441153, 0.450791, 0.156584, 0.250521, 0.000000, 0.000000], [-0.265213, -0.240194, 0.058416, -0.230184, 0.464480, -0.058559, 0.735473, -0.235541, 0.000000, 0.000000], [-0.406990, 0.309360, 0.694432, 0.007691, 0.176976, 0.413782, -0.209332, -0.100021, 0.000000, 0.000000], [-0.196862, -0.238502, -0.381239, -0.239307, -0.346550, 0.672833, -0.035504, -0.357336, 0.000000, 0.000000], [0.440313, -0.282390, 0.040115, 0.077556, 0.501607, 0.023470, -0.403736, -0.550992, 0.000000, 0.000000], [0.564902, -0.369350, 0.462702, -0.095134, -0.187777, 0.345709, 0.262691, 0.312315, 0.000000, 0.000000], [-0.175523, -0.268251, -0.078725, 0.904347, 0.058460, 0.208821, 0.142572, 0.076425, 0.000000, 0.000000]]
fourier: [[26.863675, 28.077007, 30.438789, 30.988869, 132.677300], [28.534717, 29.406523, 31.603153, 32.196996, 172.136964], [24.131975, 24.359315, 26.967533, 29.089875, 158.739151], [34.354686, 36.466416, 39.899318, 49.088476, 148.197180], [18.039304, 18.463804, 20.487373, 20.929597, 140.502852], [37.530582, 39.619524, 43.788902, 52.227482, 196.457817], [48.389876, 50.733510, 56.441136, 66.782226, 219.953088], [15.913410, 16.812797, 18.190287, 18.221035, 106.128345]]
### 8
mean: [2.057588, -1.170411, -1.189760, -1.197370, 0.967198, -2.104360, -0.495645, 1.346288]
std: [2.203894, 1.888180, 0.852709, 0.885562, 1.241785, 2.095066, 0.270569, 1.429874]
pca: [[0.520892, -0.084314, 0.469781, -0.264305, 0.067572, -0.310914, 0.564726, -0.104224, 0.000000, 0.000000], [-0.444499, -0.563244, 0.621369, 0.044911, -0.203469, -0.027327, -0.186791, -0.141500, 0.000000, 0.000000], [-0.197012, 0.629357, 0.234242, 0.328079, -0.500718, -0.377624, 0.075307, -0.060011, 0.000000, 0.000000], [-0.209005, 0.177110, 0.138189, 0.292016, 0.790180, -0.260426, -0.062113, -0.352868, 0.000000, 0.000000], [0.293267, -0.205003, 0.091578, 0.445709, 0.110061, -0.354938, -0.251622, 0.680820, 0.000000, 0.000000], [-0.495085, 0.227255, 0.199395, -0.319128, 0.243627, 0.128791, 0.330363, 0.613648, 0.000000, 0.000000], [-0.062547, -0.195169, -0.079945, 0.650951, -0.029624, 0.387195, 0.613909, -0.013685, 0.000000, 0.000000], [0.337000, 0.341213, 0.514494, 0.104786, 0.081157, 0.632200, -0.295511, 0.027028, 0.000000, 0.000000]]
fourier: [[36.376685, 36.948234, 41.356353, 45.898260, 185.182966], [29.392810, 31.972073, 34.876468, 41.043807, 105.337016], [14.795686, 15.159973, 15.308090, 16.216899, 107.078413], [14.821729, 14.964002, 16.765462, 17.654011, 107.763333], [20.824473, 20.950439, 23.383138, 25.152499, 87.047808], [34.721806, 35.476510, 39.453458, 42.692812, 189.392393], [4.030337, 4.358303, 4.843581, 6.295666, 44.608052], [22.823974, 23.822339, 26.399418, 31.377781, 121.165882]]
### 10
mean: [-0.491558, -0.355531, -0.324981, -0.807032, -0.607587, 1.478326, 1.241980, 1.020135]
std: [0.262462, 0.212227, 0.111588, 0.495180, 0.147576, 1.624139, 1.303230, 1.281443]
pca: [[-0.096677, -0.371386, -0.561500, 0.223237, 0.071488, 0.026806, 0.423479, -0.549951, 0.000000, 0.000000], [-0.083159, 0.142587, -0.162321, 0.304401, 0.272166, 0.310986, 0.509615, 0.650578, 0.000000, 0.000000], [0.032691, -0.279826, 0.645760, -0.193756, 0.272759, -0.267861, 0.555936, -0.104261, 0.000000, 0.000000], [-0.191524, -0.442372, -0.108532, -0.303416, 0.669884, 0.215066, -0.394823, 0.113588, 0.000000, 0.000000], [-0.054431, -0.207018, 0.369655, 0.081027, -0.288068, 0.832165, 0.004828, -0.188324, 0.000000, 0.000000], [0.646708, -0.211872, -0.274147, -0.563276, -0.220991, 0.134814, 0.189117, 0.204121, 0.000000, 0.000000], [0.516914, -0.459000, 0.125529, 0.631359, 0.028789, -0.151184, -0.245132, 0.154827, 0.000000, 0.000000], [0.507536, 0.518959, 0.045014, 0.073779, 0.514804, 0.225914, -0.011429, -0.386558, 0.000000, 0.000000]]
fourier: [[4.537002, 4.757981, 4.886846, 5.121375, 44.240178], [3.218737, 3.561509, 3.611896, 5.105860, 31.997789], [1.469479, 1.701944, 2.027942, 2.879150, 29.248253], [8.396520, 8.716724, 8.813757, 9.612167, 72.632832], [2.586591, 2.660178, 2.750488, 2.859260, 54.682872], [25.925270, 27.845967, 29.320291, 36.138697, 133.049323], [20.448688, 22.354438, 22.964055, 29.958750, 111.778211], [21.522996, 21.634345, 24.266361, 25.673355, 91.812116]]
### 12
mean: [-0.916482]
std: [1.127688]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.279479, 19.278058, 20.740297, 23.945050, 82.483327]]
## 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": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.36834, -0.309207, -0.406273, -0.201333, 0.073518], [-0.308961, -0.338751, -0.05281, 0.381267, 0.750912], [0.313295, 0.29663, -0.032127, 0.283418, 0.06356], [-0.042702, -0.221181, -0.442816, -0.265229, -0.253955], [0.880205, 0.001553, 0.595325, -0.308776, -0.084026], [-0.234173, 0.214113, -0.242663, -0.306646, -0.197007], [0.667763, 0.429673, 0.145287, 0.038017, -0.069909], [-0.56388, 0.009385, 0.208736, -0.233092, 0.376576]], "network.0.bias": [-0.335821, 0.087736, -0.426073, 0.082454, -0.054966, -0.127934, 0.118018, 0.20172], "network.2.weight": [[0.150991, -0.022298, -0.032891, -0.027741, 0.529636, 0.341356, 0.390873, -0.250177], [-0.242688, -0.016868, -0.068562, 0.234931, 0.165315, 0.236427, -0.301875, -0.13234], [0.090996, 0.369719, 0.057377, 0.200519, -0.427152, -0.223553, -0.164859, 0.560854], [0.322968, -0.39498, 0.065685, -0.001986, 0.386168, 0.315471, 0.087406, 0.476645], [-0.078051, -0.535223, 0.058881, -0.110961, 0.356539, 0.325243, 0.161441, 0.165055], [-0.058092, 0.190526, 0.453088, 0.102748, 0.341496, -0.004235, 0.571564, -0.312886], [-0.083972, 0.452167, 0.148887, 0.116633, -0.330318, 0.146499, 0.023916, -0.015147], [-0.076577, -0.460213, 0.06862, -0.211022, -0.139227, 0.17659, -0.476391, 0.130746]], "network.2.bias": [-0.166159, -0.365914, -0.080378, 0.159238, -0.178856, 0.275552, -0.09108, -0.133387], "network.4.weight": [[-0.276677, 0.264555, 0.056133, -0.281367, -0.25755, -0.409013, -0.228197, 0.194916], [0.028887, -0.054763, -0.443209, 0.012162, 0.082321, 0.337889, -0.388408, 0.188774], [0.608928, -0.001449, -0.090389, 0.615426, 0.346343, 0.455624, -0.349329, 0.087858], [0.201303, 0.06341, -0.12828, -0.054819, 0.012205, -0.22513, -0.19474, 0.036073], [0.223346, 0.058669, -0.281114, -0.092182, -0.312011, -0.23368, -0.157718, 0.035049], [-0.197052, 0.327191, 0.621891, -0.475356, -0.142745, 0.214046, 0.349298, 0.019463], [0.335262, -0.203717, -0.280857, -0.146036, 0.002111, 0.245625, -0.221899, -0.559795], [0.592371, 0.004784, -0.433581, 0.206428, 0.679804, 0.175237, -0.480569, 0.2534]], "network.4.bias": [0.001919, 0.348289, -0.012826, -0.110213, -0.196836, 0.077877, 0.062464, 0.438681], "network.6.weight": [[-0.281261, 0.155585, -0.224262, -0.027567, 0.281156, -0.116164, -0.268209, -0.326331], [-0.172424, -0.118328, 0.438217, 0.341618, -0.069325, 0.118977, 0.347779, 0.036564], [0.115421, 0.093214, -0.179997, 0.315942, 0.100337, 0.001204, -0.314086, -0.253003], [-0.159791, -0.176865, -0.332945, -0.510455, -0.290728, 0.416237, -0.474172, -0.116615], [0.444557, -0.057298, -0.070169, 0.258809, -0.285776, -0.080759, 0.042786, -0.34749], [-0.354123, 0.352652, 0.22385, 0.145727, 0.089725, -0.344787, 0.070132, 0.438555], [0.144658, 0.339719, 0.254413, -0.046775, 0.449409, -0.44473, -0.019562, 0.69592], [0.076398, 0.157636, -0.475372, -0.086766, -0.256871, -0.003894, 0.085285, 0.117995]], "network.6.bias": [0.031258, 0.343282, -0.492206, 0.004904, -0.50865, 0.251901, -0.010198, -0.365955], "network.8.weight": [[0.136525, 0.357699, -0.06524, -0.296249, 0.043348, 0.227461, 0.361692, -0.168062], [-0.032235, 0.714635, -0.023403, 0.176239, 0.318248, -0.644353, -0.537603, -0.113452], [0.347343, -0.238792, -0.271967, -0.340055, -0.246424, 0.199266, -0.32305, 0.048348], [0.35234, -0.026478, 0.27123, -0.070249, -0.138672, -0.022382, -0.274651, 0.125868], [0.007813, 0.187703, 0.130097, 0.011451, -0.101632, 0.187772, 0.171633, -0.053751], [-0.050158, -0.025323, 0.274023, -0.071647, 0.319013, -0.327812, -0.449992, 0.007984], [0.075047, 0.065237, 0.008569, 0.181825, -0.287293, -0.003321, -0.118104, 0.032983], [0.08535, 0.123826, 0.047985, -0.460163, 0.059704, 0.369262, 0.107974, 0.211943]], "network.8.bias": [-0.034678, 0.277763, -0.303741, -0.378179, -0.25874, -0.147584, -0.330918, 0.058499], "network.10.weight": [[-0.290655, -0.267174, 0.178689, 0.245523, 0.09949, -0.166013, 0.300376, 0.160579], [-0.1641, 0.20286, 0.321022, -0.004093, -0.012391, 0.162327, -0.222446, 0.145714], [0.31696, -0.274634, -0.032503, -0.339813, -0.200523, 0.281665, -0.333104, -0.300945], [-0.090512, -0.314055, -0.186543, 0.101338, -0.00044, -0.340384, -0.282576, -0.24445], [0.113235, -0.137386, 0.220561, -0.078809, -0.174327, 0.24959, -0.002055, -0.142406], [0.367025, -0.636264, 0.047904, 0.348592, 0.381281, -0.011791, -0.043237, 0.172901], [0.294415, -0.65911, 0.056853, -0.060288, -0.023439, 0.154703, -0.212944, 0.403073], [0.282414, 0.170495, 0.014614, 0.273861, 0.167385, 0.059956, -0.216725, 0.348228]], "network.10.bias": [-0.161804, -0.242129, -0.316441, -0.224518, -0.447599, 0.219486, 0.220037, -0.241507], "network.12.weight": [[0.048963, -0.247774, 0.295407, -0.018171, 0.012178, -0.266408, -0.420501, -0.150561]], "network.12.bias": [0.193567]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6968980729579926, "train_acc": 0.485, "val_loss": 0.7612001299858093, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6560965478420258, "train_acc": 0.585, "val_loss": 0.6065929532051086, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.9219023585319519, "train_acc": 0.5, "val_loss": 0.5209352374076843, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5670703947544098, "train_acc": 0.785, "val_loss": 0.6634455323219299, "val_acc": 0.66}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6625072360038757, "train_acc": 0.625, "val_loss": 0.6922740340232849, "val_acc": 0.54}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6758675277233124, "train_acc": 0.605, "val_loss": 0.6899563074111938, "val_acc": 0.54}], "summary": {"total_epochs": 6, "degraded_epochs": 2, "improved_epochs": 4, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7612001299858093, "final_val_loss": 0.6065929532051086, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5209352374076843, "final_val_loss": 0.6899563074111938, "initial_val_acc": 0.78, "final_val_acc": 0.54, "best_val_acc": 0.78, "best_epoch": 2}, "improvement": 0.26, "first_improvement_epoch": 1}}
|
9,680
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.5, "improved_accuracy": 0.9, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7528, "learning_rate": 0.018266170396566413, "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: 8
Activation Function: relu
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: [-0.879552, 0.121800, 0.519152, 0.759437, 1.940238, 0.573263, 1.576938, 0.963309]
std: [1.148057, 0.940729, 1.621932, 1.812613, 1.390929, 1.660503, 1.188617, 1.638435]
pca: [[-0.185084, -0.073465, 0.494894, 0.614351, -0.041866, -0.061291, 0.558651, -0.142828, 0.000000, 0.000000], [0.039666, 0.300444, 0.328561, 0.263690, 0.604698, 0.138871, -0.531911, -0.250602, 0.000000, 0.000000], [-0.457604, 0.359374, -0.253385, -0.249207, 0.158642, 0.494415, 0.368119, -0.360576, 0.000000, 0.000000], [0.428047, -0.470409, -0.484869, 0.311023, 0.357190, 0.271432, 0.179618, -0.173593, 0.000000, 0.000000], [0.363612, 0.401072, -0.205394, 0.028822, -0.170695, -0.507432, 0.100062, -0.606031, 0.000000, 0.000000], [-0.434958, 0.102482, -0.491559, 0.587578, -0.290649, -0.036361, -0.352930, 0.055431, 0.000000, 0.000000], [0.150950, 0.518521, -0.215103, 0.141978, 0.362401, -0.180117, 0.317118, 0.614478, 0.000000, 0.000000], [0.476819, 0.337159, 0.133188, 0.167226, -0.484652, 0.606288, -0.045506, 0.093378, 0.000000, 0.000000]]
fourier: [[18.347782, 19.042712, 19.552039, 20.666522, 79.159650], [13.548170, 15.199587, 16.686673, 18.129716, 18.310357], [24.255222, 26.336458, 28.695223, 34.417667, 46.723682], [27.716100, 29.070479, 32.926560, 40.975779, 68.349318], [20.407796, 21.408993, 25.406015, 27.154357, 174.621380], [25.777507, 26.452489, 28.749049, 29.838832, 51.593697], [17.541871, 17.693075, 18.576581, 27.661236, 141.924374], [26.185781, 27.512590, 28.692197, 28.850545, 86.697850]]
### 2
mean: [0.783252, -0.939716, 1.627607, 1.814261, 1.395394, 1.333133, 1.782335, 1.914526]
std: [1.014804, 0.567907, 1.571658, 1.875382, 1.324310, 1.416274, 2.136910, 0.948757]
pca: [[0.257612, 0.111490, -0.110683, -0.175030, 0.182609, -0.329525, -0.328646, 0.792704, 0.000000, 0.000000], [-0.096582, -0.114155, 0.816841, 0.434191, 0.078610, 0.043304, 0.130225, 0.311249, 0.000000, 0.000000], [0.399472, -0.036827, 0.165322, -0.466705, -0.352369, 0.595052, 0.251999, 0.228404, 0.000000, 0.000000], [0.473534, -0.135424, -0.400059, 0.621543, -0.116196, -0.027665, 0.422009, 0.136764, 0.000000, 0.000000], [0.335349, 0.096747, 0.190061, -0.324000, 0.561107, -0.328214, 0.516168, -0.219288, 0.000000, 0.000000], [0.360225, 0.120230, 0.000943, 0.223546, 0.544002, 0.523053, -0.451683, -0.179633, 0.000000, 0.000000], [0.545983, -0.090580, 0.303685, 0.009714, -0.412215, -0.391571, -0.393513, -0.351108, 0.000000, 0.000000], [0.013319, 0.960637, 0.069229, 0.147207, -0.205205, -0.007028, 0.090212, -0.015517, 0.000000, 0.000000]]
fourier: [[14.974959, 15.444984, 17.063189, 19.913017, 70.492668], [8.630783, 8.937128, 11.414102, 13.303246, 84.574452], [23.701225, 25.655475, 25.794062, 29.256934, 146.484613], [27.337636, 28.763888, 34.552707, 34.772247, 163.283513], [20.480545, 20.539355, 23.348598, 25.220658, 125.585424], [21.500692, 22.581644, 23.364035, 26.692748, 119.981942], [32.495106, 34.177799, 35.033289, 37.570139, 160.410170], [14.640572, 14.793529, 16.392069, 17.001750, 172.307366]]
### 4
mean: [3.743872, 3.744175, -0.163218, 3.037966, -0.265390, 0.144316, -1.297956, -1.115321]
std: [3.925699, 3.999166, 0.252572, 3.387034, 0.164607, 0.575607, 1.144846, 0.500606]
pca: [[0.587318, -0.229719, 0.095313, -0.481291, -0.290094, 0.306185, 0.423291, 0.066946, 0.000000, 0.000000], [0.598328, 0.178752, 0.355078, 0.150212, 0.529036, -0.292773, -0.019130, -0.308944, 0.000000, 0.000000], [-0.006075, -0.584489, -0.285133, -0.068606, 0.595979, -0.135338, 0.115657, 0.430633, 0.000000, 0.000000], [0.506689, 0.106045, -0.417505, 0.571039, -0.236448, 0.083183, -0.182611, 0.368036, 0.000000, 0.000000], [0.000652, -0.244818, 0.697917, 0.067112, -0.247738, -0.218854, -0.304595, 0.496409, 0.000000, 0.000000], [-0.076158, 0.647673, 0.003043, -0.177036, 0.089588, -0.270348, 0.428672, 0.527726, 0.000000, 0.000000], [-0.170951, 0.004293, 0.349263, 0.485592, 0.228520, 0.624520, 0.404697, 0.083352, 0.000000, 0.000000], [-0.072567, -0.288045, -0.011921, 0.378626, -0.321319, -0.533188, 0.577424, -0.217511, 0.000000, 0.000000]]
fourier: [[62.043828, 63.546862, 63.579277, 73.099858, 336.948485], [62.799312, 64.135825, 64.418873, 75.714614, 336.975769], [3.944118, 3.994164, 4.642312, 4.655443, 14.689653], [53.359373, 54.326194, 54.632613, 63.808750, 273.416905], [2.779976, 2.891266, 2.921780, 2.986509, 23.885076], [9.325216, 10.060366, 10.844183, 10.899798, 12.988448], [17.778613, 17.931580, 19.157187, 21.767676, 116.816081], [7.299864, 8.146423, 8.583776, 10.174746, 100.378865]]
### 6
mean: [5.607552, -2.463257, 3.567771, -0.686306, -1.645518, -0.805898, -2.962019, 0.127119]
std: [5.986033, 2.221621, 4.116994, 0.204902, 1.558730, 0.507121, 2.859079, 0.256375]
pca: [[0.722509, 0.183312, -0.179232, -0.260447, -0.349078, 0.404362, 0.011507, -0.242743, 0.000000, 0.000000], [-0.267687, 0.639266, 0.146737, -0.149744, -0.100813, -0.291116, 0.168476, -0.593660, 0.000000, 0.000000], [0.496850, 0.331848, 0.336682, 0.347012, 0.630379, -0.087356, -0.035062, 0.054834, 0.000000, 0.000000], [-0.024289, 0.104359, -0.211059, 0.804553, -0.324710, 0.119048, 0.420491, -0.015685, 0.000000, 0.000000], [-0.187718, 0.509473, 0.046175, -0.266146, 0.011243, 0.337223, 0.332164, 0.638792, 0.000000, 0.000000], [-0.060903, -0.187507, -0.467543, -0.174432, 0.571386, 0.181966, 0.521202, -0.284365, 0.000000, 0.000000], [-0.345077, 0.143713, 0.004337, 0.194107, 0.177868, 0.696291, -0.493901, -0.249351, 0.000000, 0.000000], [-0.029121, -0.348350, 0.753456, -0.055529, -0.083198, 0.313509, 0.409291, -0.185194, 0.000000, 0.000000]]
fourier: [[95.614987, 96.285585, 96.868121, 112.028607, 504.679598], [33.942874, 35.474447, 36.158375, 42.254400, 221.693089], [65.166476, 66.599508, 67.130862, 76.569044, 321.099424], [3.098791, 3.214028, 3.467869, 3.662786, 61.767528], [23.684164, 24.831137, 25.417032, 29.707621, 148.096659], [8.264981, 8.347223, 8.721982, 9.120163, 72.530796], [45.401334, 45.975775, 46.126698, 53.719912, 266.581663], [4.139556, 4.298137, 4.462775, 4.608832, 11.440699]]
### 8
mean: [2.951871, -0.899384, -0.349568, -2.161636, 5.563313, -0.204646, 2.223475, 3.958686]
std: [2.922934, 0.861638, 0.689903, 2.799158, 6.094722, 0.772823, 2.430482, 4.433060]
pca: [[0.324980, 0.181040, -0.101418, -0.447605, -0.019263, -0.459039, 0.640711, -0.171401, 0.000000, 0.000000], [-0.095724, -0.445320, 0.555253, 0.401668, -0.356070, -0.348125, 0.268298, -0.054068, 0.000000, 0.000000], [-0.076650, 0.374862, 0.289060, 0.112282, -0.137102, 0.681617, 0.499289, -0.157330, 0.000000, 0.000000], [-0.311219, 0.034266, -0.282117, 0.492979, 0.584642, -0.151806, 0.412869, 0.209848, 0.000000, 0.000000], [0.677632, 0.241904, 0.155846, 0.288409, -0.021695, -0.011047, -0.031032, 0.610962, 0.000000, 0.000000], [-0.085777, 0.679530, 0.267804, 0.253470, 0.082306, -0.386424, -0.305462, -0.381459, 0.000000, 0.000000], [0.270217, -0.260842, 0.508314, -0.182344, 0.708652, 0.123630, -0.058067, -0.215563, 0.000000, 0.000000], [0.492881, -0.197237, -0.404812, 0.449445, -0.052975, 0.125362, -0.010662, -0.577630, 0.000000, 0.000000]]
fourier: [[46.732374, 47.306910, 47.412871, 54.512717, 265.668382], [13.467930, 14.009236, 14.100378, 16.139401, 80.944565], [10.955681, 11.080237, 11.264876, 12.940797, 31.461104], [44.919976, 45.265236, 45.344782, 52.142618, 194.547232], [97.564318, 98.617041, 98.836977, 113.600113, 500.698147], [12.174172, 12.353613, 12.777444, 14.488965, 18.418116], [39.173042, 39.258839, 39.287602, 45.236306, 200.112706], [71.153602, 71.656886, 71.658482, 82.760718, 356.281775]]
### 10
mean: [-3.970308]
std: [4.926554]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[78.385098, 79.353187, 79.894862, 92.593208, 357.327645]]
## 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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.375929,
-0.083782,
0.275593,
0.098774,
-0.185932,
-0.375401
],
[
0.58815,
-0.136977,
0.219105,
-0.195971,
0.010192,
-0.202741,
0.03897,
-0.270664
]
],
"network.8.bias": [
0.234083,
0.045564,
0.23989,
0.352466,
-0.029788,
0.395563,
0.120042,
-0.098842
],
"network.10.weight": [
[
0.0667,
-0.179358,
0.483526,
0.412546,
-0.33435,
0.366533,
-0.068996,
-0.632067
]
],
"network.10.bias": [
0.214873
]
}
## Activation Signature
### 0
mean: [-0.879552, 0.121800, 0.519152, 0.759437, 1.940238, 0.573263, 1.576938, 0.963309]
std: [1.148057, 0.940729, 1.621932, 1.812613, 1.390929, 1.660503, 1.188617, 1.638435]
pca: [[-0.185084, -0.073465, 0.494894, 0.614351, -0.041866, -0.061291, 0.558651, -0.142828, 0.000000, 0.000000], [0.039666, 0.300444, 0.328561, 0.263690, 0.604698, 0.138871, -0.531911, -0.250602, 0.000000, 0.000000], [-0.457604, 0.359374, -0.253385, -0.249207, 0.158642, 0.494415, 0.368119, -0.360576, 0.000000, 0.000000], [0.428047, -0.470409, -0.484869, 0.311023, 0.357190, 0.271432, 0.179618, -0.173593, 0.000000, 0.000000], [0.363612, 0.401072, -0.205394, 0.028822, -0.170695, -0.507432, 0.100062, -0.606031, 0.000000, 0.000000], [-0.434958, 0.102482, -0.491559, 0.587578, -0.290649, -0.036361, -0.352930, 0.055431, 0.000000, 0.000000], [0.150950, 0.518521, -0.215103, 0.141978, 0.362401, -0.180117, 0.317118, 0.614478, 0.000000, 0.000000], [0.476819, 0.337159, 0.133188, 0.167226, -0.484652, 0.606288, -0.045506, 0.093378, 0.000000, 0.000000]]
fourier: [[18.347782, 19.042712, 19.552039, 20.666522, 79.159650], [13.548170, 15.199587, 16.686673, 18.129716, 18.310357], [24.255222, 26.336458, 28.695223, 34.417667, 46.723682], [27.716100, 29.070479, 32.926560, 40.975779, 68.349318], [20.407796, 21.408993, 25.406015, 27.154357, 174.621380], [25.777507, 26.452489, 28.749049, 29.838832, 51.593697], [17.541871, 17.693075, 18.576581, 27.661236, 141.924374], [26.185781, 27.512590, 28.692197, 28.850545, 86.697850]]
### 2
mean: [0.783252, -0.939716, 1.627607, 1.814261, 1.395394, 1.333133, 1.782335, 1.914526]
std: [1.014804, 0.567907, 1.571658, 1.875382, 1.324310, 1.416274, 2.136910, 0.948757]
pca: [[0.257612, 0.111490, -0.110683, -0.175030, 0.182609, -0.329525, -0.328646, 0.792704, 0.000000, 0.000000], [-0.096582, -0.114155, 0.816841, 0.434191, 0.078610, 0.043304, 0.130225, 0.311249, 0.000000, 0.000000], [0.399472, -0.036827, 0.165322, -0.466705, -0.352369, 0.595052, 0.251999, 0.228404, 0.000000, 0.000000], [0.473534, -0.135424, -0.400059, 0.621543, -0.116196, -0.027665, 0.422009, 0.136764, 0.000000, 0.000000], [0.335349, 0.096747, 0.190061, -0.324000, 0.561107, -0.328214, 0.516168, -0.219288, 0.000000, 0.000000], [0.360225, 0.120230, 0.000943, 0.223546, 0.544002, 0.523053, -0.451683, -0.179633, 0.000000, 0.000000], [0.545983, -0.090580, 0.303685, 0.009714, -0.412215, -0.391571, -0.393513, -0.351108, 0.000000, 0.000000], [0.013319, 0.960637, 0.069229, 0.147207, -0.205205, -0.007028, 0.090212, -0.015517, 0.000000, 0.000000]]
fourier: [[14.974959, 15.444984, 17.063189, 19.913017, 70.492668], [8.630783, 8.937128, 11.414102, 13.303246, 84.574452], [23.701225, 25.655475, 25.794062, 29.256934, 146.484613], [27.337636, 28.763888, 34.552707, 34.772247, 163.283513], [20.480545, 20.539355, 23.348598, 25.220658, 125.585424], [21.500692, 22.581644, 23.364035, 26.692748, 119.981942], [32.495106, 34.177799, 35.033289, 37.570139, 160.410170], [14.640572, 14.793529, 16.392069, 17.001750, 172.307366]]
### 4
mean: [3.743872, 3.744175, -0.163218, 3.037966, -0.265390, 0.144316, -1.297956, -1.115321]
std: [3.925699, 3.999166, 0.252572, 3.387034, 0.164607, 0.575607, 1.144846, 0.500606]
pca: [[0.587318, -0.229719, 0.095313, -0.481291, -0.290094, 0.306185, 0.423291, 0.066946, 0.000000, 0.000000], [0.598328, 0.178752, 0.355078, 0.150212, 0.529036, -0.292773, -0.019130, -0.308944, 0.000000, 0.000000], [-0.006075, -0.584489, -0.285133, -0.068606, 0.595979, -0.135338, 0.115657, 0.430633, 0.000000, 0.000000], [0.506689, 0.106045, -0.417505, 0.571039, -0.236448, 0.083183, -0.182611, 0.368036, 0.000000, 0.000000], [0.000652, -0.244818, 0.697917, 0.067112, -0.247738, -0.218854, -0.304595, 0.496409, 0.000000, 0.000000], [-0.076158, 0.647673, 0.003043, -0.177036, 0.089588, -0.270348, 0.428672, 0.527726, 0.000000, 0.000000], [-0.170951, 0.004293, 0.349263, 0.485592, 0.228520, 0.624520, 0.404697, 0.083352, 0.000000, 0.000000], [-0.072567, -0.288045, -0.011921, 0.378626, -0.321319, -0.533188, 0.577424, -0.217511, 0.000000, 0.000000]]
fourier: [[62.043828, 63.546862, 63.579277, 73.099858, 336.948485], [62.799312, 64.135825, 64.418873, 75.714614, 336.975769], [3.944118, 3.994164, 4.642312, 4.655443, 14.689653], [53.359373, 54.326194, 54.632613, 63.808750, 273.416905], [2.779976, 2.891266, 2.921780, 2.986509, 23.885076], [9.325216, 10.060366, 10.844183, 10.899798, 12.988448], [17.778613, 17.931580, 19.157187, 21.767676, 116.816081], [7.299864, 8.146423, 8.583776, 10.174746, 100.378865]]
### 6
mean: [5.607552, -2.463257, 3.567771, -0.686306, -1.645518, -0.805898, -2.962019, 0.127119]
std: [5.986033, 2.221621, 4.116994, 0.204902, 1.558730, 0.507121, 2.859079, 0.256375]
pca: [[0.722509, 0.183312, -0.179232, -0.260447, -0.349078, 0.404362, 0.011507, -0.242743, 0.000000, 0.000000], [-0.267687, 0.639266, 0.146737, -0.149744, -0.100813, -0.291116, 0.168476, -0.593660, 0.000000, 0.000000], [0.496850, 0.331848, 0.336682, 0.347012, 0.630379, -0.087356, -0.035062, 0.054834, 0.000000, 0.000000], [-0.024289, 0.104359, -0.211059, 0.804553, -0.324710, 0.119048, 0.420491, -0.015685, 0.000000, 0.000000], [-0.187718, 0.509473, 0.046175, -0.266146, 0.011243, 0.337223, 0.332164, 0.638792, 0.000000, 0.000000], [-0.060903, -0.187507, -0.467543, -0.174432, 0.571386, 0.181966, 0.521202, -0.284365, 0.000000, 0.000000], [-0.345077, 0.143713, 0.004337, 0.194107, 0.177868, 0.696291, -0.493901, -0.249351, 0.000000, 0.000000], [-0.029121, -0.348350, 0.753456, -0.055529, -0.083198, 0.313509, 0.409291, -0.185194, 0.000000, 0.000000]]
fourier: [[95.614987, 96.285585, 96.868121, 112.028607, 504.679598], [33.942874, 35.474447, 36.158375, 42.254400, 221.693089], [65.166476, 66.599508, 67.130862, 76.569044, 321.099424], [3.098791, 3.214028, 3.467869, 3.662786, 61.767528], [23.684164, 24.831137, 25.417032, 29.707621, 148.096659], [8.264981, 8.347223, 8.721982, 9.120163, 72.530796], [45.401334, 45.975775, 46.126698, 53.719912, 266.581663], [4.139556, 4.298137, 4.462775, 4.608832, 11.440699]]
### 8
mean: [2.951871, -0.899384, -0.349568, -2.161636, 5.563313, -0.204646, 2.223475, 3.958686]
std: [2.922934, 0.861638, 0.689903, 2.799158, 6.094722, 0.772823, 2.430482, 4.433060]
pca: [[0.324980, 0.181040, -0.101418, -0.447605, -0.019263, -0.459039, 0.640711, -0.171401, 0.000000, 0.000000], [-0.095724, -0.445320, 0.555253, 0.401668, -0.356070, -0.348125, 0.268298, -0.054068, 0.000000, 0.000000], [-0.076650, 0.374862, 0.289060, 0.112282, -0.137102, 0.681617, 0.499289, -0.157330, 0.000000, 0.000000], [-0.311219, 0.034266, -0.282117, 0.492979, 0.584642, -0.151806, 0.412869, 0.209848, 0.000000, 0.000000], [0.677632, 0.241904, 0.155846, 0.288409, -0.021695, -0.011047, -0.031032, 0.610962, 0.000000, 0.000000], [-0.085777, 0.679530, 0.267804, 0.253470, 0.082306, -0.386424, -0.305462, -0.381459, 0.000000, 0.000000], [0.270217, -0.260842, 0.508314, -0.182344, 0.708652, 0.123630, -0.058067, -0.215563, 0.000000, 0.000000], [0.492881, -0.197237, -0.404812, 0.449445, -0.052975, 0.125362, -0.010662, -0.577630, 0.000000, 0.000000]]
fourier: [[46.732374, 47.306910, 47.412871, 54.512717, 265.668382], [13.467930, 14.009236, 14.100378, 16.139401, 80.944565], [10.955681, 11.080237, 11.264876, 12.940797, 31.461104], [44.919976, 45.265236, 45.344782, 52.142618, 194.547232], [97.564318, 98.617041, 98.836977, 113.600113, 500.698147], [12.174172, 12.353613, 12.777444, 14.488965, 18.418116], [39.173042, 39.258839, 39.287602, 45.236306, 200.112706], [71.153602, 71.656886, 71.658482, 82.760718, 356.281775]]
### 10
mean: [-3.970308]
std: [4.926554]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[78.385098, 79.353187, 79.894862, 92.593208, 357.327645]]
## 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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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6951515674591064, "train_acc": 0.485, "val_loss": 0.6904006004333496, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6757451593875885, "train_acc": 0.57, "val_loss": 0.6868100166320801, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6633465588092804, "train_acc": 0.57, "val_loss": 0.6650651693344116, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6410177052021027, "train_acc": 0.57, "val_loss": 0.6233000755310059, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.632216215133667, "train_acc": 0.5, "val_loss": 0.5371363759040833, "val_acc": 0.5}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.550722748041153, "train_acc": 0.5, "val_loss": 0.4516194462776184, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.47734779119491577, "train_acc": 0.82, "val_loss": 0.3902193009853363, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4256596267223358, "train_acc": 0.845, "val_loss": 0.3574961721897125, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4005679041147232, "train_acc": 0.875, "val_loss": 0.35463806986808777, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.37161432206630707, "train_acc": 0.875, "val_loss": 0.2958553433418274, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.36977216601371765, "train_acc": 0.855, "val_loss": 0.2798362076282501, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.3223544508218765, "train_acc": 0.89, "val_loss": 0.3175946772098541, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.30144003033638, "train_acc": 0.89, "val_loss": 0.26897871494293213, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.27760906517505646, "train_acc": 0.895, "val_loss": 0.2741849720478058, "val_acc": 0.86}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6904006004333496, "final_val_loss": 0.6233000755310059, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5371363759040833, "final_val_loss": 0.2741849720478058, "initial_val_acc": 0.5, "final_val_acc": 0.86, "best_val_acc": 0.9, "best_epoch": 9}, "improvement": 0.4, "first_improvement_epoch": 3}}
|
9,681
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.58, "improved_accuracy": 0.98, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3280, "learning_rate": 0.0470185048636761, "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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [-0.967934, 0.101292, 0.825214, 2.154302, -2.403790]
std: [1.867200, 1.661178, 1.784564, 2.738705, 1.461532]
pca: [[0.321653, 0.567149, 0.080113, -0.478228, 0.582891, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.480732, 0.202512, 0.116794, 0.822068, 0.196085, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.317960, -0.517921, 0.340711, 0.095539, 0.710948, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.722199, -0.530794, 0.289482, -0.293837, -0.162931, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.206799, 0.295545, 0.883209, -0.005878, -0.299658, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.572823, 27.696129, 28.155535, 28.513886, 87.114076], [23.701694, 27.459488, 29.821333, 29.829074, 31.082687], [25.573636, 27.045949, 29.239999, 30.471179, 74.269308], [47.921394, 50.762522, 52.090750, 60.254222, 193.887189], [21.998910, 22.009890, 24.237225, 29.385310, 216.341071]]
### 2
mean: [0.218693, -0.119154, 1.531329, 2.779901, -0.425892]
std: [0.908741, 0.984081, 1.170999, 2.788693, 0.786633]
pca: [[0.128258, 0.862507, -0.390137, 0.247235, 0.162173, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.294361, 0.003059, 0.436259, 0.311459, 0.791211, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.333751, 0.225780, 0.696117, 0.415982, -0.424281, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.861011, -0.298160, -0.156595, 0.106340, 0.365965, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.210172, -0.340877, -0.385189, 0.810875, -0.183688, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.151294, 14.758475, 16.091509, 19.682379, 21.889494], [14.762769, 16.066854, 17.842511, 20.781969, 21.843595], [17.841944, 18.225807, 21.932482, 27.097809, 137.819641], [45.656068, 48.481276, 60.275161, 63.632496, 250.191072], [12.726641, 12.910718, 13.231843, 17.833318, 38.330245]]
### 4
mean: [-2.246382, 0.784511, 1.631356, -2.410572, 2.684880]
std: [1.558999, 0.983810, 1.699600, 1.768507, 2.874228]
pca: [[-0.369698, 0.524430, 0.395904, -0.265436, 0.600916, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.233747, -0.093742, 0.795134, -0.328373, -0.443292, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.400722, 0.807458, -0.252341, -0.101633, -0.336791, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.421369, 0.253368, 0.280444, 0.754675, -0.331766, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.685970, -0.001476, 0.262102, 0.491783, 0.467862, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.648133, 28.279157, 33.576672, 36.051244, 202.174397], [16.524201, 16.863031, 20.184293, 24.081111, 70.606025], [24.596763, 31.829446, 34.559014, 41.417718, 146.822037], [28.597622, 30.549857, 36.701808, 41.706421, 216.951489], [47.620273, 48.767757, 60.683705, 69.484837, 241.639172]]
### 6
mean: [2.936794, -2.808586, -0.742178, 2.451221, -0.027586]
std: [3.595927, 2.253239, 1.394885, 2.870172, 0.736322]
pca: [[0.670908, 0.479388, -0.078231, 0.456954, -0.324258, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.420288, 0.540353, 0.688061, 0.226278, 0.082142, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.260217, -0.256975, -0.268834, 0.831993, 0.319009, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.535528, -0.141285, 0.363711, -0.045276, 0.747605, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.136888, 0.626265, -0.562046, -0.213844, 0.476895, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[57.362928, 61.819346, 74.950630, 88.480647, 264.311421], [36.743226, 37.794502, 47.635314, 54.767249, 252.772759], [22.267285, 24.086656, 28.890479, 34.568522, 66.796030], [46.141248, 49.087049, 60.169894, 70.647956, 220.609910], [10.734470, 12.115690, 12.294780, 15.856787, 18.043358]]
### 8
mean: [-2.379675]
std: [3.518574]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[56.094850, 60.026723, 74.205979, 87.594212, 214.170761]]
## 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.402206
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],
"network.4.bias": [
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"network.6.weight": [
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}
## Activation Signature
### 0
mean: [-0.967934, 0.101292, 0.825214, 2.154302, -2.403790]
std: [1.867200, 1.661178, 1.784564, 2.738705, 1.461532]
pca: [[0.321653, 0.567149, 0.080113, -0.478228, 0.582891, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.480732, 0.202512, 0.116794, 0.822068, 0.196085, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.317960, -0.517921, 0.340711, 0.095539, 0.710948, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.722199, -0.530794, 0.289482, -0.293837, -0.162931, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.206799, 0.295545, 0.883209, -0.005878, -0.299658, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.572823, 27.696129, 28.155535, 28.513886, 87.114076], [23.701694, 27.459488, 29.821333, 29.829074, 31.082687], [25.573636, 27.045949, 29.239999, 30.471179, 74.269308], [47.921394, 50.762522, 52.090750, 60.254222, 193.887189], [21.998910, 22.009890, 24.237225, 29.385310, 216.341071]]
### 2
mean: [0.218693, -0.119154, 1.531329, 2.779901, -0.425892]
std: [0.908741, 0.984081, 1.170999, 2.788693, 0.786633]
pca: [[0.128258, 0.862507, -0.390137, 0.247235, 0.162173, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.294361, 0.003059, 0.436259, 0.311459, 0.791211, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.333751, 0.225780, 0.696117, 0.415982, -0.424281, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.861011, -0.298160, -0.156595, 0.106340, 0.365965, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.210172, -0.340877, -0.385189, 0.810875, -0.183688, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.151294, 14.758475, 16.091509, 19.682379, 21.889494], [14.762769, 16.066854, 17.842511, 20.781969, 21.843595], [17.841944, 18.225807, 21.932482, 27.097809, 137.819641], [45.656068, 48.481276, 60.275161, 63.632496, 250.191072], [12.726641, 12.910718, 13.231843, 17.833318, 38.330245]]
### 4
mean: [-2.246382, 0.784511, 1.631356, -2.410572, 2.684880]
std: [1.558999, 0.983810, 1.699600, 1.768507, 2.874228]
pca: [[-0.369698, 0.524430, 0.395904, -0.265436, 0.600916, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.233747, -0.093742, 0.795134, -0.328373, -0.443292, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.400722, 0.807458, -0.252341, -0.101633, -0.336791, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.421369, 0.253368, 0.280444, 0.754675, -0.331766, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.685970, -0.001476, 0.262102, 0.491783, 0.467862, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.648133, 28.279157, 33.576672, 36.051244, 202.174397], [16.524201, 16.863031, 20.184293, 24.081111, 70.606025], [24.596763, 31.829446, 34.559014, 41.417718, 146.822037], [28.597622, 30.549857, 36.701808, 41.706421, 216.951489], [47.620273, 48.767757, 60.683705, 69.484837, 241.639172]]
### 6
mean: [2.936794, -2.808586, -0.742178, 2.451221, -0.027586]
std: [3.595927, 2.253239, 1.394885, 2.870172, 0.736322]
pca: [[0.670908, 0.479388, -0.078231, 0.456954, -0.324258, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.420288, 0.540353, 0.688061, 0.226278, 0.082142, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.260217, -0.256975, -0.268834, 0.831993, 0.319009, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.535528, -0.141285, 0.363711, -0.045276, 0.747605, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.136888, 0.626265, -0.562046, -0.213844, 0.476895, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[57.362928, 61.819346, 74.950630, 88.480647, 264.311421], [36.743226, 37.794502, 47.635314, 54.767249, 252.772759], [22.267285, 24.086656, 28.890479, 34.568522, 66.796030], [46.141248, 49.087049, 60.169894, 70.647956, 220.609910], [10.734470, 12.115690, 12.294780, 15.856787, 18.043358]]
### 8
mean: [-2.379675]
std: [3.518574]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[56.094850, 60.026723, 74.205979, 87.594212, 214.170761]]
## 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": 0.6771171987056732, "train_acc": 0.55, "val_loss": 0.6478517055511475, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6591725051403046, "train_acc": 0.55, "val_loss": 0.5848567485809326, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6346402764320374, "train_acc": 0.525, "val_loss": 0.565414547920227, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5549164414405823, "train_acc": 0.775, "val_loss": 0.419156938791275, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.42691770195961, "train_acc": 0.895, "val_loss": 0.29358500242233276, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.34584569931030273, "train_acc": 0.895, "val_loss": 0.2156732976436615, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2667207568883896, "train_acc": 0.915, "val_loss": 0.1725807934999466, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2225104346871376, "train_acc": 0.935, "val_loss": 0.13212302327156067, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.20769521594047546, "train_acc": 0.94, "val_loss": 0.17811687290668488, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.19674601405858994, "train_acc": 0.925, "val_loss": 0.15219244360923767, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.17656048387289047, "train_acc": 0.935, "val_loss": 0.14733143150806427, "val_acc": 0.94}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6478517055511475, "final_val_loss": 0.5848567485809326, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.565414547920227, "final_val_loss": 0.14733143150806427, "initial_val_acc": 0.74, "final_val_acc": 0.94, "best_val_acc": 0.98, "best_epoch": 5}, "improvement": 0.4, "first_improvement_epoch": 1}}
|
9,682
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.48, "improved_accuracy": 0.92, "improvement": 0.44000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5701, "learning_rate": 0.09519190431684459, "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: 6
Neurons per Layer: 8
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.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [0.887639, 1.141363, 0.235392, -1.160907, -3.309044, 0.697807, -1.676965, 0.352202]
std: [1.742105, 1.566730, 1.478144, 1.731793, 2.433697, 2.046037, 1.589634, 1.678890]
pca: [[-0.452337, 0.090095, -0.344600, 0.039512, -0.091372, 0.171826, -0.583928, -0.536767, 0.000000, 0.000000], [0.010912, -0.478090, 0.339847, -0.087587, 0.028481, 0.794366, 0.049015, -0.117950, 0.000000, 0.000000], [-0.322317, 0.238830, -0.311615, -0.173129, 0.171947, 0.165750, 0.753056, -0.296414, 0.000000, 0.000000], [0.150389, 0.531154, 0.178229, -0.032416, 0.740667, 0.233727, -0.237570, 0.052792, 0.000000, 0.000000], [0.617491, 0.091714, -0.474920, -0.545261, -0.192674, 0.197618, -0.100067, -0.035295, 0.000000, 0.000000], [0.016842, 0.578088, 0.542061, -0.123764, -0.552548, 0.089018, 0.046614, -0.202427, 0.000000, 0.000000], [0.314183, 0.203160, -0.280621, 0.793506, -0.176103, 0.327926, 0.112457, 0.020516, 0.000000, 0.000000], [-0.434139, 0.200693, -0.196871, -0.132153, -0.198095, 0.320693, -0.090887, 0.751450, 0.000000, 0.000000]]
fourier: [[26.656955, 30.342860, 30.573690, 40.998625, 79.887465], [23.812722, 24.360146, 27.037481, 31.329491, 102.722645], [22.586823, 23.777376, 24.168953, 28.174723, 32.488283], [27.032702, 27.221875, 28.436214, 29.756950, 104.481594], [41.157565, 41.703557, 43.573506, 49.810402, 297.813939], [32.174543, 33.780407, 34.662248, 39.874686, 62.802619], [27.180906, 29.381332, 29.988981, 30.542287, 150.926873], [28.364902, 28.754312, 30.490482, 31.698215, 38.359952]]
### 2
mean: [-1.159032, -0.699112, 0.663978, 1.152298, -0.548950, 2.012875, 2.132156, -0.880346]
std: [2.309578, 1.430788, 1.363624, 3.026676, 1.371521, 3.484269, 3.929686, 2.277336]
pca: [[-0.318459, -0.293658, 0.244480, -0.234905, -0.208402, -0.147530, 0.675480, -0.419438, 0.000000, 0.000000], [-0.196336, 0.078900, -0.344990, 0.509678, 0.008656, 0.667201, 0.208173, -0.296428, 0.000000, 0.000000], [0.149837, 0.647445, -0.217828, -0.477822, -0.393647, 0.199095, 0.267042, 0.129197, 0.000000, 0.000000], [0.419495, 0.027962, 0.711289, -0.068823, 0.219544, 0.503547, 0.103922, -0.003778, 0.000000, 0.000000], [-0.147440, 0.664055, 0.344979, 0.462694, 0.093637, -0.400053, 0.096458, -0.161499, 0.000000, 0.000000], [0.486809, 0.070833, -0.361439, -0.162431, 0.551964, -0.199175, 0.163738, -0.479409, 0.000000, 0.000000], [0.548988, -0.199118, -0.102982, 0.453755, -0.298782, -0.197652, 0.444204, 0.341775, 0.000000, 0.000000], [-0.318588, 0.044034, -0.087042, -0.075059, 0.592143, 0.033173, 0.429939, 0.588873, 0.000000, 0.000000]]
fourier: [[38.976654, 40.123521, 47.637865, 52.979962, 104.312839], [25.107177, 25.307978, 27.155652, 30.188696, 62.920082], [20.831000, 21.222532, 25.347705, 28.756997, 59.758054], [51.441595, 53.927253, 62.921527, 63.088903, 103.706842], [22.689845, 26.031048, 26.086227, 29.394785, 49.405485], [62.907173, 64.100703, 73.739982, 76.072511, 181.158703], [69.597110, 71.841768, 83.687341, 84.053196, 191.894071], [39.909355, 41.085764, 48.462337, 49.179996, 79.231097]]
### 4
mean: [3.078055, -2.595286, -1.531925, -2.247775, 3.280266, -1.749502, -1.692236, 2.304254]
std: [4.685121, 4.926181, 2.777136, 4.843508, 5.785959, 3.412054, 1.803714, 3.745303]
pca: [[0.397154, 0.233836, 0.267021, 0.129724, -0.334241, -0.419044, 0.252509, 0.590242, 0.000000, 0.000000], [-0.417388, 0.272780, 0.336890, 0.465956, -0.227266, 0.571930, 0.161502, 0.126220, 0.000000, 0.000000], [-0.234865, 0.237833, -0.211015, 0.015974, 0.604775, -0.145686, 0.666713, 0.109579, 0.000000, 0.000000], [-0.410137, 0.254973, 0.646103, -0.415394, 0.129096, -0.333552, -0.193392, -0.107011, 0.000000, 0.000000], [0.490014, 0.412263, 0.125728, -0.429541, -0.095851, 0.391990, 0.307940, -0.363236, 0.000000, 0.000000], [-0.289086, 0.180920, -0.287061, 0.108291, -0.570012, -0.405439, 0.248876, -0.488193, 0.000000, 0.000000], [-0.144715, 0.629282, -0.493422, -0.205106, -0.043553, 0.081367, -0.423791, 0.330774, 0.000000, 0.000000], [0.316315, 0.388132, 0.107476, 0.595775, 0.343826, -0.200399, -0.303123, -0.364060, 0.000000, 0.000000]]
fourier: [[81.321642, 82.977266, 97.891585, 102.678292, 277.024949], [83.824112, 83.983256, 101.893707, 111.147942, 233.575693], [46.204195, 47.047237, 56.369263, 64.448978, 137.873216], [83.145034, 84.494132, 101.162619, 108.489451, 202.299705], [99.914142, 102.152359, 121.320710, 125.072407, 295.223892], [58.635841, 59.467972, 70.544898, 77.262060, 157.455180], [27.846040, 28.002325, 34.667868, 44.107062, 152.301256], [66.790824, 68.682763, 79.154477, 79.905934, 207.382886]]
### 6
mean: [3.442294, 2.899327, 0.387041, -1.500841, -1.712113, 3.828941, 0.913167, 1.406470]
std: [6.637377, 4.055926, 1.618183, 5.143958, 3.058825, 7.041901, 2.147869, 1.868830]
pca: [[0.531114, -0.009777, -0.479614, -0.355032, 0.451523, -0.246447, -0.003531, 0.311646, 0.000000, 0.000000], [0.323130, 0.560738, 0.414612, 0.015302, 0.458318, 0.192284, -0.096875, -0.390652, 0.000000, 0.000000], [0.129459, 0.038082, 0.058309, -0.448725, -0.231945, 0.091460, 0.815488, -0.223276, 0.000000, 0.000000], [-0.409931, 0.689051, -0.071515, 0.058293, 0.006233, -0.460850, 0.207181, 0.305462, 0.000000, 0.000000], [-0.244604, -0.159253, -0.272367, 0.492841, 0.555843, 0.281638, 0.457064, -0.023280, 0.000000, 0.000000], [0.563486, 0.019474, -0.012218, 0.644444, -0.307538, -0.356934, 0.196101, -0.078807, 0.000000, 0.000000], [0.171816, -0.063898, 0.543649, 0.063235, 0.038590, 0.251617, 0.162138, 0.758785, 0.000000, 0.000000], [0.147761, 0.423570, -0.468685, 0.082270, -0.356657, 0.641490, -0.094898, 0.156850, 0.000000, 0.000000]]
fourier: [[117.904989, 119.845903, 140.036931, 143.706001, 309.806473], [69.885684, 70.430151, 83.776108, 88.925485, 260.939385], [28.581251, 29.048922, 34.299597, 34.833686, 35.015977], [93.283008, 95.604216, 102.450898, 115.748384, 135.075703], [53.643712, 54.592020, 65.309807, 65.487688, 154.090183], [124.688362, 126.711979, 148.428416, 152.068094, 344.604701], [38.323609, 38.957422, 44.254180, 47.129613, 82.185058], [31.346183, 31.580939, 36.932769, 42.449856, 126.582268]]
### 8
mean: [-2.207255, -5.542569, 0.508106, -4.596551, 1.041222, 4.949567, -3.415982, 3.154314]
std: [5.462212, 8.342028, 3.204875, 7.732985, 3.755230, 9.290520, 2.932029, 6.763140]
pca: [[-0.303794, -0.201364, -0.328112, 0.162125, 0.612076, 0.384179, 0.005978, -0.459296, 0.000000, 0.000000], [-0.463314, 0.456060, -0.116476, -0.291744, 0.061496, -0.481830, -0.430294, -0.239944, 0.000000, 0.000000], [0.177059, 0.301600, 0.566763, 0.599953, 0.140648, -0.159517, -0.015733, -0.388649, 0.000000, 0.000000], [-0.429984, 0.314409, -0.091997, 0.508172, -0.100880, 0.333497, -0.208759, 0.533462, 0.000000, 0.000000], [0.205914, 0.495949, -0.535730, 0.148350, 0.085211, -0.215980, 0.590106, 0.022027, 0.000000, 0.000000], [0.517234, 0.136705, -0.047441, -0.091550, 0.610281, -0.030310, -0.428905, 0.381874, 0.000000, 0.000000], [-0.160231, 0.426595, 0.455955, -0.481508, 0.223423, 0.417662, 0.350179, 0.074919, 0.000000, 0.000000], [0.375776, 0.339130, -0.227902, -0.090439, -0.402493, 0.511441, -0.340841, -0.379366, 0.000000, 0.000000]]
fourier: [[97.742331, 99.113217, 113.661018, 120.239213, 198.652990], [144.017018, 144.081235, 172.133006, 183.229511, 498.831165], [50.752573, 58.556478, 59.941530, 63.785797, 72.409167], [134.054037, 134.498938, 161.597912, 168.443963, 413.689642], [68.989095, 70.712816, 72.195879, 87.109076, 93.709991], [165.027922, 166.758793, 195.745066, 201.899747, 445.460998], [48.046112, 49.461799, 55.602040, 67.093662, 307.438405], [121.653871, 123.383593, 139.260362, 150.383048, 283.888286]]
### 10
mean: [4.796929, -3.188368, 6.214272, -3.457688, 3.411868, -3.808721, 3.777718, -0.765204]
std: [7.582931, 6.979352, 9.915412, 3.066143, 5.800722, 3.234389, 5.826858, 0.696537]
pca: [[0.444279, -0.030394, 0.023825, 0.432839, -0.467446, 0.535653, -0.162260, -0.286385, 0.000000, 0.000000], [-0.408274, -0.365954, -0.022368, 0.545219, 0.450622, 0.353534, 0.271253, -0.000309, 0.000000, 0.000000], [0.580876, 0.142033, 0.038802, -0.159163, 0.270677, 0.242941, 0.623091, 0.308289, 0.000000, 0.000000], [-0.174492, 0.680266, -0.277254, 0.446742, -0.174423, -0.255379, 0.356824, -0.085888, 0.000000, 0.000000], [0.339815, -0.054993, -0.541942, -0.021002, 0.478717, -0.167096, -0.143324, -0.556531, 0.000000, 0.000000], [-0.187771, 0.403850, -0.412649, -0.187345, 0.166221, 0.552548, -0.391155, 0.332158, 0.000000, 0.000000], [0.341377, -0.053315, -0.008770, 0.499969, 0.176789, -0.353982, -0.395465, 0.563581, 0.000000, 0.000000], [0.028174, 0.461796, 0.675647, 0.070474, 0.432078, 0.072910, -0.233649, -0.279080, 0.000000, 0.000000]]
fourier: [[130.922582, 131.716939, 158.159972, 165.692048, 431.723665], [123.814475, 123.917808, 148.580908, 151.225590, 286.953099], [172.878422, 173.324821, 209.668776, 214.840625, 559.284465], [48.901053, 52.977197, 53.561627, 71.592418, 311.191930], [100.359591, 100.633807, 120.095218, 126.872066, 307.068104], [52.989086, 54.735644, 61.617275, 73.907751, 342.784911], [100.343705, 100.873160, 121.091896, 127.535237, 339.994599], [10.645639, 11.663488, 12.083284, 17.547987, 68.868373]]
### 12
mean: [-6.272293]
std: [10.699536]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[184.776743, 185.978513, 223.777764, 233.576391, 564.506381]]
## 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: 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": [
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}
## Activation Signature
### 0
mean: [0.887639, 1.141363, 0.235392, -1.160907, -3.309044, 0.697807, -1.676965, 0.352202]
std: [1.742105, 1.566730, 1.478144, 1.731793, 2.433697, 2.046037, 1.589634, 1.678890]
pca: [[-0.452337, 0.090095, -0.344600, 0.039512, -0.091372, 0.171826, -0.583928, -0.536767, 0.000000, 0.000000], [0.010912, -0.478090, 0.339847, -0.087587, 0.028481, 0.794366, 0.049015, -0.117950, 0.000000, 0.000000], [-0.322317, 0.238830, -0.311615, -0.173129, 0.171947, 0.165750, 0.753056, -0.296414, 0.000000, 0.000000], [0.150389, 0.531154, 0.178229, -0.032416, 0.740667, 0.233727, -0.237570, 0.052792, 0.000000, 0.000000], [0.617491, 0.091714, -0.474920, -0.545261, -0.192674, 0.197618, -0.100067, -0.035295, 0.000000, 0.000000], [0.016842, 0.578088, 0.542061, -0.123764, -0.552548, 0.089018, 0.046614, -0.202427, 0.000000, 0.000000], [0.314183, 0.203160, -0.280621, 0.793506, -0.176103, 0.327926, 0.112457, 0.020516, 0.000000, 0.000000], [-0.434139, 0.200693, -0.196871, -0.132153, -0.198095, 0.320693, -0.090887, 0.751450, 0.000000, 0.000000]]
fourier: [[26.656955, 30.342860, 30.573690, 40.998625, 79.887465], [23.812722, 24.360146, 27.037481, 31.329491, 102.722645], [22.586823, 23.777376, 24.168953, 28.174723, 32.488283], [27.032702, 27.221875, 28.436214, 29.756950, 104.481594], [41.157565, 41.703557, 43.573506, 49.810402, 297.813939], [32.174543, 33.780407, 34.662248, 39.874686, 62.802619], [27.180906, 29.381332, 29.988981, 30.542287, 150.926873], [28.364902, 28.754312, 30.490482, 31.698215, 38.359952]]
### 2
mean: [-1.159032, -0.699112, 0.663978, 1.152298, -0.548950, 2.012875, 2.132156, -0.880346]
std: [2.309578, 1.430788, 1.363624, 3.026676, 1.371521, 3.484269, 3.929686, 2.277336]
pca: [[-0.318459, -0.293658, 0.244480, -0.234905, -0.208402, -0.147530, 0.675480, -0.419438, 0.000000, 0.000000], [-0.196336, 0.078900, -0.344990, 0.509678, 0.008656, 0.667201, 0.208173, -0.296428, 0.000000, 0.000000], [0.149837, 0.647445, -0.217828, -0.477822, -0.393647, 0.199095, 0.267042, 0.129197, 0.000000, 0.000000], [0.419495, 0.027962, 0.711289, -0.068823, 0.219544, 0.503547, 0.103922, -0.003778, 0.000000, 0.000000], [-0.147440, 0.664055, 0.344979, 0.462694, 0.093637, -0.400053, 0.096458, -0.161499, 0.000000, 0.000000], [0.486809, 0.070833, -0.361439, -0.162431, 0.551964, -0.199175, 0.163738, -0.479409, 0.000000, 0.000000], [0.548988, -0.199118, -0.102982, 0.453755, -0.298782, -0.197652, 0.444204, 0.341775, 0.000000, 0.000000], [-0.318588, 0.044034, -0.087042, -0.075059, 0.592143, 0.033173, 0.429939, 0.588873, 0.000000, 0.000000]]
fourier: [[38.976654, 40.123521, 47.637865, 52.979962, 104.312839], [25.107177, 25.307978, 27.155652, 30.188696, 62.920082], [20.831000, 21.222532, 25.347705, 28.756997, 59.758054], [51.441595, 53.927253, 62.921527, 63.088903, 103.706842], [22.689845, 26.031048, 26.086227, 29.394785, 49.405485], [62.907173, 64.100703, 73.739982, 76.072511, 181.158703], [69.597110, 71.841768, 83.687341, 84.053196, 191.894071], [39.909355, 41.085764, 48.462337, 49.179996, 79.231097]]
### 4
mean: [3.078055, -2.595286, -1.531925, -2.247775, 3.280266, -1.749502, -1.692236, 2.304254]
std: [4.685121, 4.926181, 2.777136, 4.843508, 5.785959, 3.412054, 1.803714, 3.745303]
pca: [[0.397154, 0.233836, 0.267021, 0.129724, -0.334241, -0.419044, 0.252509, 0.590242, 0.000000, 0.000000], [-0.417388, 0.272780, 0.336890, 0.465956, -0.227266, 0.571930, 0.161502, 0.126220, 0.000000, 0.000000], [-0.234865, 0.237833, -0.211015, 0.015974, 0.604775, -0.145686, 0.666713, 0.109579, 0.000000, 0.000000], [-0.410137, 0.254973, 0.646103, -0.415394, 0.129096, -0.333552, -0.193392, -0.107011, 0.000000, 0.000000], [0.490014, 0.412263, 0.125728, -0.429541, -0.095851, 0.391990, 0.307940, -0.363236, 0.000000, 0.000000], [-0.289086, 0.180920, -0.287061, 0.108291, -0.570012, -0.405439, 0.248876, -0.488193, 0.000000, 0.000000], [-0.144715, 0.629282, -0.493422, -0.205106, -0.043553, 0.081367, -0.423791, 0.330774, 0.000000, 0.000000], [0.316315, 0.388132, 0.107476, 0.595775, 0.343826, -0.200399, -0.303123, -0.364060, 0.000000, 0.000000]]
fourier: [[81.321642, 82.977266, 97.891585, 102.678292, 277.024949], [83.824112, 83.983256, 101.893707, 111.147942, 233.575693], [46.204195, 47.047237, 56.369263, 64.448978, 137.873216], [83.145034, 84.494132, 101.162619, 108.489451, 202.299705], [99.914142, 102.152359, 121.320710, 125.072407, 295.223892], [58.635841, 59.467972, 70.544898, 77.262060, 157.455180], [27.846040, 28.002325, 34.667868, 44.107062, 152.301256], [66.790824, 68.682763, 79.154477, 79.905934, 207.382886]]
### 6
mean: [3.442294, 2.899327, 0.387041, -1.500841, -1.712113, 3.828941, 0.913167, 1.406470]
std: [6.637377, 4.055926, 1.618183, 5.143958, 3.058825, 7.041901, 2.147869, 1.868830]
pca: [[0.531114, -0.009777, -0.479614, -0.355032, 0.451523, -0.246447, -0.003531, 0.311646, 0.000000, 0.000000], [0.323130, 0.560738, 0.414612, 0.015302, 0.458318, 0.192284, -0.096875, -0.390652, 0.000000, 0.000000], [0.129459, 0.038082, 0.058309, -0.448725, -0.231945, 0.091460, 0.815488, -0.223276, 0.000000, 0.000000], [-0.409931, 0.689051, -0.071515, 0.058293, 0.006233, -0.460850, 0.207181, 0.305462, 0.000000, 0.000000], [-0.244604, -0.159253, -0.272367, 0.492841, 0.555843, 0.281638, 0.457064, -0.023280, 0.000000, 0.000000], [0.563486, 0.019474, -0.012218, 0.644444, -0.307538, -0.356934, 0.196101, -0.078807, 0.000000, 0.000000], [0.171816, -0.063898, 0.543649, 0.063235, 0.038590, 0.251617, 0.162138, 0.758785, 0.000000, 0.000000], [0.147761, 0.423570, -0.468685, 0.082270, -0.356657, 0.641490, -0.094898, 0.156850, 0.000000, 0.000000]]
fourier: [[117.904989, 119.845903, 140.036931, 143.706001, 309.806473], [69.885684, 70.430151, 83.776108, 88.925485, 260.939385], [28.581251, 29.048922, 34.299597, 34.833686, 35.015977], [93.283008, 95.604216, 102.450898, 115.748384, 135.075703], [53.643712, 54.592020, 65.309807, 65.487688, 154.090183], [124.688362, 126.711979, 148.428416, 152.068094, 344.604701], [38.323609, 38.957422, 44.254180, 47.129613, 82.185058], [31.346183, 31.580939, 36.932769, 42.449856, 126.582268]]
### 8
mean: [-2.207255, -5.542569, 0.508106, -4.596551, 1.041222, 4.949567, -3.415982, 3.154314]
std: [5.462212, 8.342028, 3.204875, 7.732985, 3.755230, 9.290520, 2.932029, 6.763140]
pca: [[-0.303794, -0.201364, -0.328112, 0.162125, 0.612076, 0.384179, 0.005978, -0.459296, 0.000000, 0.000000], [-0.463314, 0.456060, -0.116476, -0.291744, 0.061496, -0.481830, -0.430294, -0.239944, 0.000000, 0.000000], [0.177059, 0.301600, 0.566763, 0.599953, 0.140648, -0.159517, -0.015733, -0.388649, 0.000000, 0.000000], [-0.429984, 0.314409, -0.091997, 0.508172, -0.100880, 0.333497, -0.208759, 0.533462, 0.000000, 0.000000], [0.205914, 0.495949, -0.535730, 0.148350, 0.085211, -0.215980, 0.590106, 0.022027, 0.000000, 0.000000], [0.517234, 0.136705, -0.047441, -0.091550, 0.610281, -0.030310, -0.428905, 0.381874, 0.000000, 0.000000], [-0.160231, 0.426595, 0.455955, -0.481508, 0.223423, 0.417662, 0.350179, 0.074919, 0.000000, 0.000000], [0.375776, 0.339130, -0.227902, -0.090439, -0.402493, 0.511441, -0.340841, -0.379366, 0.000000, 0.000000]]
fourier: [[97.742331, 99.113217, 113.661018, 120.239213, 198.652990], [144.017018, 144.081235, 172.133006, 183.229511, 498.831165], [50.752573, 58.556478, 59.941530, 63.785797, 72.409167], [134.054037, 134.498938, 161.597912, 168.443963, 413.689642], [68.989095, 70.712816, 72.195879, 87.109076, 93.709991], [165.027922, 166.758793, 195.745066, 201.899747, 445.460998], [48.046112, 49.461799, 55.602040, 67.093662, 307.438405], [121.653871, 123.383593, 139.260362, 150.383048, 283.888286]]
### 10
mean: [4.796929, -3.188368, 6.214272, -3.457688, 3.411868, -3.808721, 3.777718, -0.765204]
std: [7.582931, 6.979352, 9.915412, 3.066143, 5.800722, 3.234389, 5.826858, 0.696537]
pca: [[0.444279, -0.030394, 0.023825, 0.432839, -0.467446, 0.535653, -0.162260, -0.286385, 0.000000, 0.000000], [-0.408274, -0.365954, -0.022368, 0.545219, 0.450622, 0.353534, 0.271253, -0.000309, 0.000000, 0.000000], [0.580876, 0.142033, 0.038802, -0.159163, 0.270677, 0.242941, 0.623091, 0.308289, 0.000000, 0.000000], [-0.174492, 0.680266, -0.277254, 0.446742, -0.174423, -0.255379, 0.356824, -0.085888, 0.000000, 0.000000], [0.339815, -0.054993, -0.541942, -0.021002, 0.478717, -0.167096, -0.143324, -0.556531, 0.000000, 0.000000], [-0.187771, 0.403850, -0.412649, -0.187345, 0.166221, 0.552548, -0.391155, 0.332158, 0.000000, 0.000000], [0.341377, -0.053315, -0.008770, 0.499969, 0.176789, -0.353982, -0.395465, 0.563581, 0.000000, 0.000000], [0.028174, 0.461796, 0.675647, 0.070474, 0.432078, 0.072910, -0.233649, -0.279080, 0.000000, 0.000000]]
fourier: [[130.922582, 131.716939, 158.159972, 165.692048, 431.723665], [123.814475, 123.917808, 148.580908, 151.225590, 286.953099], [172.878422, 173.324821, 209.668776, 214.840625, 559.284465], [48.901053, 52.977197, 53.561627, 71.592418, 311.191930], [100.359591, 100.633807, 120.095218, 126.872066, 307.068104], [52.989086, 54.735644, 61.617275, 73.907751, 342.784911], [100.343705, 100.873160, 121.091896, 127.535237, 339.994599], [10.645639, 11.663488, 12.083284, 17.547987, 68.868373]]
### 12
mean: [-6.272293]
std: [10.699536]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[184.776743, 185.978513, 223.777764, 233.576391, 564.506381]]
## 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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"num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": -1.1590315103530884, "std": 2.3095781803131104, "pca": [-0.3184593617916107, -0.29365774989128113, 0.24448001384735107, -0.23490478098392487, -0.20840191841125488, -0.14753006398677826, 0.6754801273345947, -0.41943785548210144, 0.0, 0.0], "fourier": [38.97665439840495, 40.12352139511392, 47.637865046844524, 52.97996206031172, 104.3128387928009]}, "1": {"mean": -0.699112057685852, "std": 1.4307878017425537, "pca": [-0.19633632898330688, 0.07889965921640396, -0.3449898362159729, 0.5096778273582458, 0.008656284771859646, 0.6672011613845825, 0.20817269384860992, -0.29642751812934875, 0.0, 0.0], "fourier": [25.107177119626844, 25.307977748598173, 27.155652156915135, 30.188695746305765, 62.92008225619793]}, "2": {"mean": 0.6639783382415771, "std": 1.3636242151260376, "pca": [0.14983686804771423, 0.6474447846412659, -0.21782825887203217, -0.4778224527835846, 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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": [[0.816177, -0.112197, -0.140421, -0.147795, 0.282561], [-0.031218, 0.462253, 0.07267, 0.32415, -0.567186], [0.553488, -0.154989, -0.253514, -0.202097, 0.464263], [-0.414673, -0.386544, -0.111467, 0.058848, 0.695656], [-0.832291, -0.064814, -0.198262, -0.632384, -0.234426], [-0.543307, 0.002139, 0.16526, 0.0622, 1.010871], [-0.32178, -0.642744, 0.331235, -0.138922, -0.138585], [0.648897, -0.026487, -0.154905, -0.147698, 0.512151]], "network.0.bias": [0.338171, 0.190491, 0.219389, -0.69183, -0.095812, -0.355312, -0.328385, -0.398393], "network.2.weight": [[-0.35296, 0.068006, -0.321283, -0.070165, 0.576465, -0.903435, 0.234093, -0.315257], [-0.120549, 0.279318, -0.438144, -0.293837, -0.106657, -0.164052, -0.408547, -0.322864], [-0.053199, -0.127898, -0.35472, 0.164571, -0.399512, 0.669825, 0.322653, 0.436572], [0.506432, -0.56121, 0.706803, 0.292555, -0.670733, 0.676312, -0.313758, 0.398338], [-0.710949, -0.091431, 0.118706, -0.449983, -0.52875, 0.107199, -0.554245, -0.260438], [0.506535, -0.13274, 0.416674, 0.495797, -0.0954, 0.960083, 0.066342, 0.863651], [0.71289, -0.246351, 0.581943, 0.052334, 0.089035, 1.050507, -0.216898, 0.901568], [-0.487091, 0.232017, -0.327144, 0.016357, -0.237115, -0.662554, -0.084468, -0.378613]], "network.2.bias": [0.479056, -0.233903, 0.065966, -0.119369, 0.323986, -0.252011, -0.347031, 0.443221], "network.4.weight": [[-0.280107, 0.014154, -0.048317, 0.265508, 0.477682, 0.266139, 0.837545, -0.421574], [0.093025, 0.57239, -0.452274, -0.638569, 0.018682, -0.219578, -0.539022, 0.158071], [-0.11079, -0.280523, -0.39999, -0.107975, -0.512234, 0.034494, -0.615281, 0.183471], [0.297702, 0.288784, -0.512455, -0.401948, -0.553623, -0.242297, -0.627202, 0.5869], [-0.71629, 0.071778, -0.232003, 0.748085, 0.367049, 0.322541, 0.765208, -0.595669], [0.339655, -0.265844, -0.197339, -0.192287, 0.009824, -0.44805, -0.329347, 0.024881], [-0.515682, -0.573939, -0.633209, 0.296168, -0.229853, -0.24258, -0.331822, -0.084034], [-0.668315, -0.088618, -0.28248, 0.074327, 0.196244, 0.489642, 0.551141, -0.365176]], "network.4.bias": [0.147399, 0.467536, 0.41293, 0.644011, -0.124258, 0.473939, -0.17662, 0.155889], "network.6.weight": [[0.481948, -0.33156, -0.110335, -0.66619, 0.505849, -0.525589, -0.023042, 0.314869], [0.264093, -0.120913, -0.11611, 0.131723, 0.333449, -0.017044, -0.302685, 0.287813], [0.088684, -0.149453, -0.154685, -0.019621, 0.139424, -0.192306, 0.090041, 0.093069], [0.107665, 0.832113, 0.305624, 0.898727, -0.732829, 0.69105, 0.097306, -0.212507], [-0.189244, 0.272212, 0.087648, 0.01007, -0.279844, 0.334547, 0.438115, -0.144986], [0.309374, -0.3645, -0.462307, -0.751092, 0.775118, -0.271985, -0.300439, 0.232482], [-0.146403, -0.405955, -0.123306, -0.106133, 0.385622, -0.227643, -0.159636, 0.135421], [0.433739, 0.479364, -0.277264, -0.085738, -0.04899, 0.257089, -0.063445, 0.072506]], "network.6.bias": [-0.074738, 0.070587, -0.495692, 0.329931, 0.123075, 0.088611, -0.10172, -0.148316], "network.8.weight": [[-0.367057, 0.455679, -0.16188, 0.637742, 0.047385, -0.637685, 0.165103, -0.210292], [-0.753126, -0.154728, 0.180568, 0.025347, 0.172316, -0.240819, -0.568013, -0.356262], [0.055407, -0.108173, 0.130782, -0.650564, 0.055023, 0.180313, 0.281933, 0.401694], [-0.644493, 0.012317, -0.126158, 0.133657, 0.049207, -0.596114, -0.048068, 0.216601], [0.412115, 0.371987, -0.407726, -0.772703, -0.035305, 0.040403, -0.061727, -0.359071], [0.488126, 0.341739, -0.161272, -0.74024, -0.145823, 0.661647, 0.278392, -0.228136], [0.181332, -0.817605, 0.221276, -0.279251, -0.411992, -0.252994, 0.242351, -0.064501], [0.484737, -0.09462, -0.356204, -0.782438, -0.348911, 0.538404, 0.101391, 0.081023]], "network.8.bias": [0.275251, 0.111786, -0.361058, 0.442122, -0.093757, -0.000698, -0.588365, 0.053314], "network.10.weight": [[-0.269838, 0.425383, 0.167851, 0.179414, 0.392718, 0.451718, 0.539252, 0.345261], [0.602397, 0.343849, -0.595494, 0.347531, -0.257659, -0.018899, -1.197928, -0.674338], [-0.365752, 0.238065, 0.30767, -0.366508, 0.450667, 0.528347, 0.271019, 0.503325], [-0.819403, -0.765578, 0.141341, -0.030029, -0.09104, -0.089911, 0.195479, -0.495606], [-0.282987, 0.0353, 0.514456, 0.163931, -0.172181, 0.560602, 0.416609, 0.019592], [-0.369423, -0.171767, 0.388761, -0.588863, -0.201041, -0.12175, -0.134983, -0.49754], [-0.206554, 0.085238, -0.088116, 0.401068, -0.019013, 0.583141, 0.413175, 0.182342], [-0.198473, -0.166247, -0.631466, -0.757105, 0.023118, 0.384782, 0.21172, -0.289628]], "network.10.bias": [-0.241285, 0.355218, 0.040099, 0.053812, -0.214131, -0.550356, -0.24715, -0.4102], "network.12.weight": [[-0.266499, 0.321548, -0.49418, -0.490297, -0.32498, -0.646403, -0.326848, -0.634381]], "network.12.bias": [0.401261]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6801315248012543, "train_acc": 0.58, "val_loss": 0.7458798289299011, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6501234769821167, "train_acc": 0.58, "val_loss": 0.5257386565208435, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5561332106590271, "train_acc": 0.555, "val_loss": 0.43794935941696167, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.49314871430397034, "train_acc": 0.785, "val_loss": 0.3792780339717865, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4058627188205719, "train_acc": 0.78, "val_loss": 0.3392554819583893, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.36359745264053345, "train_acc": 0.845, "val_loss": 0.2492438107728958, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3416040241718292, "train_acc": 0.855, "val_loss": 0.2944587767124176, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.35490529239177704, "train_acc": 0.85, "val_loss": 0.3559083640575409, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3531839996576309, "train_acc": 0.855, "val_loss": 0.2840006947517395, "val_acc": 0.9}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.7458798289299011, "final_val_loss": 0.5257386565208435, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.43794935941696167, "final_val_loss": 0.2840006947517395, "initial_val_acc": 0.82, "final_val_acc": 0.9, "best_val_acc": 0.92, "best_epoch": 5}, "improvement": 0.44000000000000006, "first_improvement_epoch": 1}}
|
9,683
|
{"target_pattern": "alternating", "degraded_accuracy": 0.42, "improved_accuracy": 0.94, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8430, "learning_rate": 0.08427709455046666, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.130613,
-0.233238,
-0.435807,
-0.576952,
-0.161278
],
[
0.098729,
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0.730469,
0.184141,
0.994405
],
[
-0.367217,
-0.074579,
-0.571876,
-0.102223,
-0.132451
],
[
0.539965,
-0.896101,
0.44838,
-1.269872,
0.161068
],
[
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-0.015709,
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-0.284315
]
],
"network.0.bias": [
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-0.475906
],
"network.2.weight": [
[
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],
[
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-0.379096,
-0.42838,
-0.369552
],
[
-0.133978,
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-0.161523,
-0.700838,
-0.254938
],
[
0.412888,
-0.264792,
-0.380213,
0.039499,
-0.294769
],
[
0.0131,
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0.012313,
-0.994606,
0.659099
]
],
"network.2.bias": [
-0.097063,
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0.169379,
-0.098966,
0.063333
],
"network.4.weight": [
[
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0.284901,
1.321404
],
[
0.061442,
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],
[
0.396273,
0.23329,
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0.544222
],
[
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0.156493,
0.663053
],
[
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]
],
"network.4.bias": [
0.301304,
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0.491178
],
"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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1.319536,
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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": [
0.325492
]
}
## Activation Signature
### 0
mean: [-2.563396, 3.488788, -2.329905, -2.321217, -2.478390]
std: [1.743184, 2.658765, 1.666769, 3.702037, 1.562853]
pca: [[0.351214, -0.282253, -0.137444, -0.523495, 0.709960, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.074757, 0.749989, 0.540615, -0.306522, 0.213792, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.034913, -0.439870, 0.501060, -0.550567, -0.501109, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.914815, 0.249801, -0.053050, 0.084383, -0.301294, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.181532, -0.319317, 0.659522, 0.567233, 0.329182, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.076643, 27.319792, 28.209283, 32.173667, 230.705584], [45.680427, 48.975985, 49.834222, 52.729028, 313.990919], [26.858100, 27.149929, 32.088238, 32.818625, 209.691411], [56.433969, 56.553285, 59.238776, 62.483518, 208.909488], [23.119203, 27.118810, 28.752432, 31.878534, 223.055065]]
### 2
mean: [-2.882405, -1.216828, -2.458468, -0.999520, 1.477953]
std: [2.240515, 1.051036, 2.239179, 0.689722, 1.490409]
pca: [[0.650908, 0.010467, 0.282262, 0.693794, -0.123233, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.294598, 0.196007, -0.493237, 0.062044, 0.792251, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.643745, 0.228885, -0.204041, -0.591310, -0.376727, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.191714, -0.141988, 0.752736, -0.401559, 0.463923, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.195878, 0.942827, 0.262301, 0.062474, -0.002013, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.629907, 40.691665, 41.788861, 42.744136, 259.416420], [17.422384, 18.678180, 20.203756, 21.223568, 109.514537], [39.314524, 40.428587, 43.066561, 43.270125, 221.262157], [11.707923, 12.464958, 12.891431, 13.630144, 89.956797], [21.529523, 22.705088, 23.025775, 26.576825, 133.015721]]
### 4
mean: [2.344278, -0.721193, 0.700476, 0.850996, 0.424318]
std: [1.850762, 0.408023, 0.762240, 0.928675, 0.060569]
pca: [[0.824484, 0.054966, 0.141335, 0.035103, -0.544057, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.181767, 0.734533, 0.368440, 0.535382, -0.070990, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.339565, -0.378356, 0.040033, 0.677169, 0.530455, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.413709, 0.508308, -0.093085, -0.409640, 0.627692, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.026983, -0.236452, 0.913241, -0.292867, 0.153566, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.427686, 29.820980, 29.854477, 34.026960, 210.985048], [6.267228, 6.574397, 6.581782, 7.501656, 64.907351], [11.707992, 12.281822, 12.295619, 14.014063, 63.042862], [14.264430, 14.963556, 14.980365, 17.074030, 76.589629], [0.930344, 0.975942, 0.977038, 1.113590, 38.188632]]
### 6
mean: [-1.071424, -1.451993, -1.170447, 2.265014, -1.635208]
std: [0.527977, 1.295250, 0.723180, 2.659069, 0.988790]
pca: [[-0.162738, 0.023960, -0.390395, 0.592776, 0.684946, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.399207, 0.334211, 0.806704, 0.112371, 0.256004, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.222672, 0.723227, -0.384372, -0.509019, 0.143240, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.819575, 0.493468, 0.150565, 0.243659, 0.052409, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.304735, 0.348082, -0.162509, 0.563489, -0.664866, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.150038, 8.578446, 8.581853, 9.752282, 96.428156], [19.941803, 20.957672, 20.965914, 23.867121, 130.679400], [11.030211, 11.506188, 11.544597, 13.205062, 105.340242], [41.164137, 43.376897, 43.430371, 49.239017, 203.851220], [15.205646, 15.966010, 15.978029, 18.200049, 147.168774]]
### 8
mean: [-0.118533, 3.066356, -1.050529, -0.961101, 1.693859]
std: [0.938228, 3.348449, 0.354505, 0.876863, 2.004652]
pca: [[-0.227516, 0.080734, 0.464889, 0.791555, 0.314702, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.811985, -0.525480, 0.114253, 0.153393, 0.167237, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.085966, -0.131736, 0.862406, -0.448432, -0.174412, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.212636, -0.164228, -0.056188, -0.365051, 0.889604, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.486120, 0.820383, 0.154669, -0.124730, 0.226229, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.432036, 14.768585, 15.639033, 15.949032, 17.706061], [52.707735, 55.814285, 56.920643, 63.191319, 275.972020], [5.580241, 5.909137, 6.026268, 6.690153, 94.547567], [13.802650, 14.616167, 14.905891, 16.548002, 86.499114], [31.555100, 33.414930, 34.077286, 37.831417, 152.447315]]
### 10
mean: [-2.621596]
std: [3.801912]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[60.952966, 63.378397, 64.128597, 71.517338, 235.943623]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.130613,
-0.233238,
-0.435807,
-0.576952,
-0.161278
],
[
0.098729,
-0.08799,
0.730469,
0.184141,
0.994405
],
[
-0.367217,
-0.074579,
-0.571876,
-0.102223,
-0.132451
],
[
0.539965,
-0.896101,
0.44838,
-1.269872,
0.161068
],
[
-0.492834,
-0.161162,
-0.015709,
-0.332038,
-0.284315
]
],
"network.0.bias": [
0.045577,
0.379079,
-0.15987,
0.227626,
-0.475906
],
"network.2.weight": [
[
0.145707,
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0.008114,
-0.446564,
-0.254769
],
[
-0.282424,
-0.268052,
-0.379096,
-0.42838,
-0.369552
],
[
-0.133978,
-0.652395,
-0.161523,
-0.700838,
-0.254938
],
[
0.412888,
-0.264792,
-0.380213,
0.039499,
-0.294769
],
[
0.0131,
0.548081,
0.012313,
-0.994606,
0.659099
]
],
"network.2.bias": [
-0.097063,
-0.064937,
0.169379,
-0.098966,
0.063333
],
"network.4.weight": [
[
-0.068685,
-0.393403,
0.309287,
0.284901,
1.321404
],
[
0.061442,
-0.095106,
-0.03269,
-0.327942,
-0.291319
],
[
0.396273,
0.23329,
-0.383455,
-0.206056,
0.544222
],
[
-0.533158,
-0.344265,
-0.587343,
0.156493,
0.663053
],
[
0.133861,
0.296426,
-0.000494,
0.215224,
-0.043245
]
],
"network.4.bias": [
0.301304,
-0.270794,
-0.140926,
-0.174127,
0.491178
],
"network.6.weight": [
[
-0.188977,
-0.273815,
0.008652,
-0.185406,
0.322683
],
[
-0.593183,
0.064737,
0.089087,
-0.278986,
0.235999
],
[
-0.545912,
0.333093,
0.331123,
0.068688,
0.257498
],
[
0.721972,
-0.373993,
0.895558,
0.692949,
-0.844284
],
[
-0.498291,
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0.099171,
-0.159563,
-0.048081
]
],
"network.6.bias": [
-0.60719,
0.020917,
-0.302433,
-0.337227,
-0.377496
],
"network.8.weight": [
[
-0.418498,
0.224957,
0.378755,
-0.369731,
0.393273
],
[
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0.059715,
1.319536,
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],
[
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0.282057,
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],
[
-0.215391,
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],
[
-0.236332,
0.025275,
0.353507,
0.789981,
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]
],
"network.8.bias": [
0.764239,
-0.084178,
-0.716977,
-0.136066,
-0.192304
],
"network.10.weight": [
[
0.983061,
-0.670607,
-0.318654,
-0.059734,
-0.672205
]
],
"network.10.bias": [
0.325492
]
}
## Activation Signature
### 0
mean: [-2.563396, 3.488788, -2.329905, -2.321217, -2.478390]
std: [1.743184, 2.658765, 1.666769, 3.702037, 1.562853]
pca: [[0.351214, -0.282253, -0.137444, -0.523495, 0.709960, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.074757, 0.749989, 0.540615, -0.306522, 0.213792, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.034913, -0.439870, 0.501060, -0.550567, -0.501109, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.914815, 0.249801, -0.053050, 0.084383, -0.301294, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.181532, -0.319317, 0.659522, 0.567233, 0.329182, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.076643, 27.319792, 28.209283, 32.173667, 230.705584], [45.680427, 48.975985, 49.834222, 52.729028, 313.990919], [26.858100, 27.149929, 32.088238, 32.818625, 209.691411], [56.433969, 56.553285, 59.238776, 62.483518, 208.909488], [23.119203, 27.118810, 28.752432, 31.878534, 223.055065]]
### 2
mean: [-2.882405, -1.216828, -2.458468, -0.999520, 1.477953]
std: [2.240515, 1.051036, 2.239179, 0.689722, 1.490409]
pca: [[0.650908, 0.010467, 0.282262, 0.693794, -0.123233, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.294598, 0.196007, -0.493237, 0.062044, 0.792251, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.643745, 0.228885, -0.204041, -0.591310, -0.376727, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.191714, -0.141988, 0.752736, -0.401559, 0.463923, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.195878, 0.942827, 0.262301, 0.062474, -0.002013, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.629907, 40.691665, 41.788861, 42.744136, 259.416420], [17.422384, 18.678180, 20.203756, 21.223568, 109.514537], [39.314524, 40.428587, 43.066561, 43.270125, 221.262157], [11.707923, 12.464958, 12.891431, 13.630144, 89.956797], [21.529523, 22.705088, 23.025775, 26.576825, 133.015721]]
### 4
mean: [2.344278, -0.721193, 0.700476, 0.850996, 0.424318]
std: [1.850762, 0.408023, 0.762240, 0.928675, 0.060569]
pca: [[0.824484, 0.054966, 0.141335, 0.035103, -0.544057, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.181767, 0.734533, 0.368440, 0.535382, -0.070990, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.339565, -0.378356, 0.040033, 0.677169, 0.530455, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.413709, 0.508308, -0.093085, -0.409640, 0.627692, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.026983, -0.236452, 0.913241, -0.292867, 0.153566, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.427686, 29.820980, 29.854477, 34.026960, 210.985048], [6.267228, 6.574397, 6.581782, 7.501656, 64.907351], [11.707992, 12.281822, 12.295619, 14.014063, 63.042862], [14.264430, 14.963556, 14.980365, 17.074030, 76.589629], [0.930344, 0.975942, 0.977038, 1.113590, 38.188632]]
### 6
mean: [-1.071424, -1.451993, -1.170447, 2.265014, -1.635208]
std: [0.527977, 1.295250, 0.723180, 2.659069, 0.988790]
pca: [[-0.162738, 0.023960, -0.390395, 0.592776, 0.684946, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.399207, 0.334211, 0.806704, 0.112371, 0.256004, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.222672, 0.723227, -0.384372, -0.509019, 0.143240, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.819575, 0.493468, 0.150565, 0.243659, 0.052409, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.304735, 0.348082, -0.162509, 0.563489, -0.664866, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.150038, 8.578446, 8.581853, 9.752282, 96.428156], [19.941803, 20.957672, 20.965914, 23.867121, 130.679400], [11.030211, 11.506188, 11.544597, 13.205062, 105.340242], [41.164137, 43.376897, 43.430371, 49.239017, 203.851220], [15.205646, 15.966010, 15.978029, 18.200049, 147.168774]]
### 8
mean: [-0.118533, 3.066356, -1.050529, -0.961101, 1.693859]
std: [0.938228, 3.348449, 0.354505, 0.876863, 2.004652]
pca: [[-0.227516, 0.080734, 0.464889, 0.791555, 0.314702, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.811985, -0.525480, 0.114253, 0.153393, 0.167237, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.085966, -0.131736, 0.862406, -0.448432, -0.174412, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.212636, -0.164228, -0.056188, -0.365051, 0.889604, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.486120, 0.820383, 0.154669, -0.124730, 0.226229, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.432036, 14.768585, 15.639033, 15.949032, 17.706061], [52.707735, 55.814285, 56.920643, 63.191319, 275.972020], [5.580241, 5.909137, 6.026268, 6.690153, 94.547567], [13.802650, 14.616167, 14.905891, 16.548002, 86.499114], [31.555100, 33.414930, 34.077286, 37.831417, 152.447315]]
### 10
mean: [-2.621596]
std: [3.801912]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[60.952966, 63.378397, 64.128597, 71.517338, 235.943623]]
## 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": -2.5633955001831055, "std": 1.7431843280792236, "pca": [0.3512144982814789, -0.2822530269622803, -0.13744394481182098, -0.523495078086853, 0.7099603414535522, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [25.076643254582176, 27.319791678469844, 28.20928291917044, 32.173666588968935, 230.70558396726847]}, "1": {"mean": 3.488787889480591, "std": 2.6587650775909424, "pca": [-0.07475677132606506, 0.7499893307685852, 0.5406151413917542, -0.3065216541290283, 0.21379241347312927, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [45.6804267070216, 48.97598512137215, 49.834221724566184, 52.729028093382766, 313.99091947078705]}, "2": {"mean": -2.329904556274414, "std": 1.6667693853378296, "pca": [0.03491278737783432, -0.43987011909484863, 0.5010601282119751, -0.550566554069519, -0.5011093616485596, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [26.858100278611694, 27.149928883905975, 32.088238308423136, 32.81862544320916, 209.69141119718552]}, "3": {"mean": -2.321216583251953, "std": 3.7020370960235596, "pca": [0.9148152470588684, 0.2498006671667099, -0.053049907088279724, 0.08438345044851303, -0.3012935221195221, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [56.43396890359304, 56.553284911078485, 59.23877577458235, 62.483517740081574, 208.90948829054832]}, "4": {"mean": -2.4783897399902344, "std": 1.5628530979156494, "pca": [0.18153215944766998, -0.3193166255950928, 0.6595216989517212, 0.5672330260276794, 0.329181969165802, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [23.119202817313344, 27.11881043231454, 28.75243205690933, 31.878534216496778, 223.05506482720375]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": -2.8824045658111572, "std": 2.2405145168304443, "pca": [0.6509084701538086, 0.010467110201716423, 0.28226152062416077, 0.693794310092926, -0.12323348969221115, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [40.62990720951351, 40.691664554523065, 41.7888611439784, 42.744136144809616, 259.4164199233055]}, "1": {"mean": -1.2168281078338623, "std": 1.0510361194610596, "pca": [0.2945975661277771, 0.19600658118724823, -0.4932369887828827, 0.06204430013895035, 0.7922508716583252, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [17.422383931928582, 18.678179564747396, 20.203755825297563, 21.22356842470098, 109.51453749835491]}, "2": {"mean": -2.458468437194824, "std": 2.2391791343688965, "pca": [0.643745481967926, 0.22888487577438354, -0.20404143631458282, -0.5913099050521851, -0.37672683596611023, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [39.3145237634683, 40.428586523909324, 43.06656119036139, 43.27012505759973, 221.26215682923794]}, "3": {"mean": -0.9995200037956238, "std": 0.6897216439247131, "pca": [0.19171364605426788, -0.14198793470859528, 0.7527356147766113, -0.40155884623527527, 0.4639233350753784, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [11.707922647827044, 12.464958245789768, 12.891431443400274, 13.630144124213357, 89.95679660141468]}, "4": 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[11.030210504564229, 11.506187982763356, 11.54459724951502, 13.205061539270721, 105.3402416408062]}, "3": {"mean": 2.2650136947631836, "std": 2.6590685844421387, "pca": [0.8195752501487732, 0.4934677481651306, 0.150564506649971, 0.24365894496440887, 0.05240868777036667, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [41.16413689527972, 43.376897473002444, 43.43037051354253, 49.23901702485659, 203.85122041404247]}, "4": {"mean": -1.6352084875106812, "std": 0.9887899160385132, "pca": [-0.30473530292510986, 0.3480819761753082, -0.16250868141651154, 0.5634887218475342, -0.6648659110069275, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [15.20564632185577, 15.966009526704447, 15.97802910464057, 18.200048672038537, 147.16877418756485]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -0.11853288859128952, "std": 0.9382277727127075, "pca": [-0.22751644253730774, 0.08073360472917557, 0.46488893032073975, 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"fourier": [13.802650270923497, 14.6161668436301, 14.905890901034962, 16.5480015601447, 86.49911394715309]}, "4": {"mean": 1.6938588619232178, "std": 2.0046515464782715, "pca": [0.4861198663711548, 0.8203827142715454, 0.15466928482055664, -0.12473031878471375, 0.22622880339622498, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [31.555099726732706, 33.41493005585897, 34.07728644515164, 37.83141744064792, 152.4473152384162]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -2.621595859527588, "std": 3.8019115924835205, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [60.95296621597723, 63.378396870299, 64.12859702236658, 71.51733817296423, 235.9436230659485]}}, "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": [[0.130613, -0.233238, -0.435807, -0.576952, -0.161278], [0.098729, -0.08799, 0.730469, 0.184141, 0.994405], [-0.367217, -0.074579, -0.571876, -0.102223, -0.132451], [0.539965, -0.896101, 0.44838, -1.269872, 0.161068], [-0.492834, -0.161162, -0.015709, -0.332038, -0.284315]], "network.0.bias": [0.045577, 0.379079, -0.15987, 0.227626, -0.475906], "network.2.weight": [[0.145707, -0.73468, 0.008114, -0.446564, -0.254769], [-0.282424, -0.268052, -0.379096, -0.42838, -0.369552], [-0.133978, -0.652395, -0.161523, -0.700838, -0.254938], [0.412888, -0.264792, -0.380213, 0.039499, -0.294769], [0.0131, 0.548081, 0.012313, -0.994606, 0.659099]], "network.2.bias": [-0.097063, -0.064937, 0.169379, -0.098966, 0.063333], "network.4.weight": [[-0.068685, -0.393403, 0.309287, 0.284901, 1.321404], [0.061442, -0.095106, -0.03269, -0.327942, -0.291319], [0.396273, 0.23329, -0.383455, -0.206056, 0.544222], [-0.533158, -0.344265, -0.587343, 0.156493, 0.663053], [0.133861, 0.296426, -0.000494, 0.215224, -0.043245]], "network.4.bias": [0.301304, -0.270794, -0.140926, -0.174127, 0.491178], "network.6.weight": [[-0.188977, -0.273815, 0.008652, -0.185406, 0.322683], [-0.593183, 0.064737, 0.089087, -0.278986, 0.235999], [-0.545912, 0.333093, 0.331123, 0.068688, 0.257498], [0.721972, -0.373993, 0.895558, 0.692949, -0.844284], [-0.498291, -0.048128, 0.099171, -0.159563, -0.048081]], "network.6.bias": [-0.60719, 0.020917, -0.302433, -0.337227, -0.377496], "network.8.weight": [[-0.418498, 0.224957, 0.378755, -0.369731, 0.393273], [-0.195773, 0.069356, 0.059715, 1.319536, -0.201631], [-0.077039, -0.394209, 0.282057, -0.139701, -0.042192], [-0.215391, -0.021995, -0.63305, -0.345549, -0.0153], [-0.236332, 0.025275, 0.353507, 0.789981, -0.095219]], "network.8.bias": [0.764239, -0.084178, -0.716977, -0.136066, -0.192304], "network.10.weight": [[0.983061, -0.670607, -0.318654, -0.059734, -0.672205]], "network.10.bias": [0.325492]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6800788640975952, "train_acc": 0.6, "val_loss": 0.7757619619369507, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6771514415740967, "train_acc": 0.6, "val_loss": 0.7490489482879639, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6770709455013275, "train_acc": 0.6, "val_loss": 0.7364926934242249, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6948899328708649, "train_acc": 0.52, "val_loss": 0.6917760968208313, "val_acc": 0.42}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6731691658496857, "train_acc": 0.52, "val_loss": 0.6490374207496643, "val_acc": 0.62}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.606433779001236, "train_acc": 0.67, "val_loss": 0.6292356252670288, "val_acc": 0.48}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5296931564807892, "train_acc": 0.65, "val_loss": 0.4804418683052063, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4452723562717438, "train_acc": 0.84, "val_loss": 0.37318411469459534, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.34290726482868195, "train_acc": 0.885, "val_loss": 0.3126738369464874, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.27397651970386505, "train_acc": 0.93, "val_loss": 0.791242778301239, "val_acc": 0.72}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.39758816361427307, "train_acc": 0.855, "val_loss": 0.2564471960067749, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.31554651260375977, "train_acc": 0.875, "val_loss": 0.3542814552783966, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.44651564955711365, "train_acc": 0.815, "val_loss": 0.28579914569854736, "val_acc": 0.92}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7757619619369507, "final_val_loss": 0.7364926934242249, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.6917760968208313, "final_val_loss": 0.28579914569854736, "initial_val_acc": 0.42, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 8}, "improvement": 0.52, "first_improvement_epoch": 2}}
|
9,684
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.7, "improved_accuracy": 0.86, "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": 5457, "learning_rate": 0.0926603640537281, "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:
{
"network.0.weight": [
[
1.099019,
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0.172588,
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],
[
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-0.411166,
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],
[
-1.23888,
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0.170956,
0.019197
],
[
-1.892525,
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0.602947,
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0.197968
],
[
-1.861616,
0.110073,
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0.412931,
0.062817
],
[
1.768597,
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0.298643,
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]
],
"network.0.bias": [
0.089192,
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],
"network.2.weight": [
[
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],
[
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],
[
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0.577983,
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],
[
0.850732,
0.57448,
0.227536,
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0.776274
],
[
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0.645459,
0.252846,
0.453567,
0.114735,
-0.066841
],
[
0.719377,
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0.13346,
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]
],
"network.2.bias": [
0.677746,
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0.057071,
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],
"network.4.weight": [
[
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],
[
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],
[
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],
[
0.779295,
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],
[
0.735774,
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0.076631
],
[
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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": [
1.067663,
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],
"network.8.weight": [
[
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [1.398842, -0.589101, -0.100027, -0.398274, -0.232530, 2.894098]
std: [3.366691, 2.091668, 2.465542, 3.436089, 3.690628, 3.839296]
pca: [[0.378921, 0.699306, -0.355621, 0.187239, 0.321435, -0.320226, 0.000000, 0.000000, 0.000000, 0.000000], [0.269076, -0.144001, -0.502397, -0.319083, 0.302601, 0.679027, 0.000000, 0.000000, 0.000000, 0.000000], [-0.306821, 0.328900, -0.107950, 0.632912, -0.300992, 0.543010, 0.000000, 0.000000, 0.000000, 0.000000], [-0.437000, 0.434379, -0.257893, -0.629658, -0.394042, -0.045806, 0.000000, 0.000000, 0.000000, 0.000000], [-0.496313, 0.241901, 0.385704, -0.104653, 0.712507, 0.166648, 0.000000, 0.000000, 0.000000, 0.000000], [0.502576, 0.367231, 0.627855, -0.234795, -0.227114, 0.334138, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.798614, 53.163192, 56.376224, 62.529885, 125.895774], [30.859390, 37.100460, 37.823142, 44.857117, 53.019088], [37.061132, 39.355108, 41.113014, 43.523970, 59.932066], [51.430110, 56.875053, 59.168776, 67.220009, 76.727354], [56.050810, 58.708395, 64.400763, 71.335393, 79.194942], [61.147180, 69.747419, 72.950956, 76.014550, 260.468782]]
### 2
mean: [2.602381, -2.691821, -1.075368, 3.571620, -1.072202, -0.004128]
std: [5.305802, 1.578017, 4.095150, 6.013054, 2.356511, 1.531734]
pca: [[0.566697, 0.201596, 0.339394, -0.529947, 0.466787, -0.155857, 0.000000, 0.000000, 0.000000, 0.000000], [-0.040143, 0.823651, 0.260188, 0.438914, -0.075419, -0.232285, 0.000000, 0.000000, 0.000000, 0.000000], [-0.431149, -0.365253, 0.395401, 0.186380, 0.417892, -0.561238, 0.000000, 0.000000, 0.000000, 0.000000], [0.640202, -0.381388, 0.312983, 0.542532, -0.228505, -0.013077, 0.000000, 0.000000, 0.000000, 0.000000], [-0.242294, 0.005554, 0.570666, 0.063638, 0.201385, 0.755644, 0.000000, 0.000000, 0.000000, 0.000000], [0.150960, 0.045392, -0.486985, 0.439753, 0.713454, 0.188669, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[89.813387, 91.785843, 99.128785, 103.592846, 234.214335], [27.002855, 27.918884, 31.104475, 32.349129, 242.263895], [67.007746, 71.543443, 73.002607, 77.951866, 96.783096], [102.821848, 105.567991, 107.516986, 107.902200, 321.445816], [36.040815, 39.888410, 40.771254, 41.233644, 96.498186], [24.183386, 24.669327, 25.357560, 25.480807, 27.360995]]
### 4
mean: [-0.548636, -2.373736, -3.985054, 4.676775, 3.190865, -0.760071]
std: [1.550852, 4.033202, 4.017601, 6.642884, 6.580224, 1.671589]
pca: [[-0.126310, -0.259864, -0.550066, 0.513993, 0.483946, -0.339928, 0.000000, 0.000000, 0.000000, 0.000000], [-0.360485, -0.399818, -0.224313, -0.109820, 0.112683, 0.796945, 0.000000, 0.000000, 0.000000, 0.000000], [-0.356252, -0.393703, 0.585684, 0.542841, -0.271823, -0.080572, 0.000000, 0.000000, 0.000000, 0.000000], [0.603260, -0.006683, -0.267830, 0.501598, -0.453359, 0.327360, 0.000000, 0.000000, 0.000000, 0.000000], [0.593577, -0.409511, 0.413928, -0.068096, 0.543397, 0.093338, 0.000000, 0.000000, 0.000000, 0.000000], [-0.104516, 0.670724, 0.247013, 0.415737, 0.422369, 0.356312, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.853315, 24.470328, 30.138787, 32.289672, 49.377250], [68.026190, 74.728151, 77.484566, 80.462517, 213.636198], [69.256169, 69.766456, 73.188347, 74.004621, 358.654866], [115.314207, 115.874470, 121.489513, 131.400801, 420.909784], [114.938925, 118.115194, 121.388703, 125.625945, 287.177858], [25.457994, 31.610688, 32.097599, 36.474384, 68.406387]]
### 6
mean: [5.521103, 5.890374, 2.166402, 0.876979, 6.267632, -0.709081]
std: [7.026032, 8.470482, 3.394427, 1.288183, 8.345359, 1.129923]
pca: [[0.491644, 0.069894, -0.307003, -0.306357, 0.613653, -0.434426, 0.000000, 0.000000, 0.000000, 0.000000], [0.592622, -0.160162, 0.763590, 0.120754, -0.101509, -0.123255, 0.000000, 0.000000, 0.000000, 0.000000], [0.236533, -0.306484, -0.456551, 0.450170, -0.480927, -0.455782, 0.000000, 0.000000, 0.000000, 0.000000], [0.072192, 0.771914, 0.039296, -0.283965, -0.478091, -0.296960, 0.000000, 0.000000, 0.000000, 0.000000], [0.583842, 0.192417, -0.327424, 0.082578, -0.114157, 0.703596, 0.000000, 0.000000, 0.000000, 0.000000], [-0.071094, 0.492600, 0.074095, 0.775536, 0.374475, -0.071504, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[120.823356, 122.487562, 130.636455, 138.068402, 496.899316], [147.416485, 150.073086, 157.360093, 163.994317, 530.133644], [60.111955, 60.398439, 62.657447, 64.853524, 194.976213], [22.856369, 23.427954, 23.867897, 29.749097, 78.928114], [145.465159, 145.473093, 156.022094, 163.975199, 564.086976], [19.439267, 20.137045, 20.933609, 21.803613, 63.817328]]
### 8
mean: [-10.460394]
std: [13.332979]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[230.496277, 232.101238, 247.512593, 261.671721, 941.435362]]
## 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": [
[
1.099019,
0.748267,
0.172588,
-0.290981,
-0.93896
],
[
0.967926,
-0.185472,
-0.19078,
-0.411166,
-0.180364
],
[
-1.23888,
0.607702,
0.041417,
0.170956,
0.019197
],
[
-1.892525,
0.670028,
0.602947,
-0.141317,
0.197968
],
[
-1.861616,
0.110073,
0.540978,
0.412931,
0.062817
],
[
1.768597,
0.143397,
0.298643,
0.053558,
-0.568724
]
],
"network.0.bias": [
0.089192,
0.047031,
-0.142475,
-0.464674,
-0.209455,
0.394619
],
"network.2.weight": [
[
0.591338,
0.493932,
-0.543721,
0.101639,
-0.891144,
0.661075
],
[
-0.32998,
0.467302,
-0.973379,
0.123648,
-0.309037,
-0.182135
],
[
-0.976862,
0.381296,
0.780622,
0.375047,
0.577983,
-0.250175
],
[
0.850732,
0.57448,
0.227536,
-0.432566,
-0.348814,
0.776274
],
[
-0.874155,
0.645459,
0.252846,
0.453567,
0.114735,
-0.066841
],
[
0.719377,
-0.46316,
-0.328905,
-0.498376,
0.13346,
-0.076507
]
],
"network.2.bias": [
0.677746,
-0.753082,
-0.421051,
0.057071,
-0.391727,
-0.260408
],
"network.4.weight": [
[
-0.043867,
-0.043361,
0.069116,
0.029124,
-0.295379,
-1.266131
],
[
-0.564205,
0.198026,
-0.120796,
-0.089609,
-0.283046,
-0.75108
],
[
-0.159244,
0.842546,
-0.595135,
-0.656684,
0.380957,
0.356173
],
[
0.779295,
-0.057105,
-0.197315,
0.581385,
-0.168805,
-0.681002
],
[
0.735774,
0.124456,
-0.635917,
0.393038,
-0.915505,
0.076631
],
[
0.299159,
0.368452,
0.536206,
-0.578322,
0.832895,
1.146685
]
],
"network.4.bias": [
0.038631,
0.196617,
-0.712941,
0.608627,
0.133581,
-0.615058
],
"network.6.weight": [
[
-0.996141,
-1.02033,
-0.932741,
0.577975,
0.500565,
-0.600379
],
[
-0.367454,
-0.373457,
-0.895958,
0.606201,
0.696623,
-0.946921
],
[
-1.284256,
-0.667157,
-0.769281,
0.274272,
0.22221,
-0.694621
],
[
0.357399,
0.896229,
1.312032,
0.053588,
0.141161,
0.755839
],
[
-1.224408,
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-0.890201,
0.611769,
0.679365,
-0.602641
],
[
0.239868,
1.147097,
-0.068328,
-0.039113,
-0.093373,
0.68339
]
],
"network.6.bias": [
1.067663,
0.611628,
0.250177,
-0.026762,
1.000369,
-0.338858
],
"network.8.weight": [
[
-0.697739,
-0.482314,
0.333912,
0.399706,
-0.706207,
0.464205
]
],
"network.8.bias": [
-0.396194
]
}
## Activation Signature
### 0
mean: [1.398842, -0.589101, -0.100027, -0.398274, -0.232530, 2.894098]
std: [3.366691, 2.091668, 2.465542, 3.436089, 3.690628, 3.839296]
pca: [[0.378921, 0.699306, -0.355621, 0.187239, 0.321435, -0.320226, 0.000000, 0.000000, 0.000000, 0.000000], [0.269076, -0.144001, -0.502397, -0.319083, 0.302601, 0.679027, 0.000000, 0.000000, 0.000000, 0.000000], [-0.306821, 0.328900, -0.107950, 0.632912, -0.300992, 0.543010, 0.000000, 0.000000, 0.000000, 0.000000], [-0.437000, 0.434379, -0.257893, -0.629658, -0.394042, -0.045806, 0.000000, 0.000000, 0.000000, 0.000000], [-0.496313, 0.241901, 0.385704, -0.104653, 0.712507, 0.166648, 0.000000, 0.000000, 0.000000, 0.000000], [0.502576, 0.367231, 0.627855, -0.234795, -0.227114, 0.334138, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.798614, 53.163192, 56.376224, 62.529885, 125.895774], [30.859390, 37.100460, 37.823142, 44.857117, 53.019088], [37.061132, 39.355108, 41.113014, 43.523970, 59.932066], [51.430110, 56.875053, 59.168776, 67.220009, 76.727354], [56.050810, 58.708395, 64.400763, 71.335393, 79.194942], [61.147180, 69.747419, 72.950956, 76.014550, 260.468782]]
### 2
mean: [2.602381, -2.691821, -1.075368, 3.571620, -1.072202, -0.004128]
std: [5.305802, 1.578017, 4.095150, 6.013054, 2.356511, 1.531734]
pca: [[0.566697, 0.201596, 0.339394, -0.529947, 0.466787, -0.155857, 0.000000, 0.000000, 0.000000, 0.000000], [-0.040143, 0.823651, 0.260188, 0.438914, -0.075419, -0.232285, 0.000000, 0.000000, 0.000000, 0.000000], [-0.431149, -0.365253, 0.395401, 0.186380, 0.417892, -0.561238, 0.000000, 0.000000, 0.000000, 0.000000], [0.640202, -0.381388, 0.312983, 0.542532, -0.228505, -0.013077, 0.000000, 0.000000, 0.000000, 0.000000], [-0.242294, 0.005554, 0.570666, 0.063638, 0.201385, 0.755644, 0.000000, 0.000000, 0.000000, 0.000000], [0.150960, 0.045392, -0.486985, 0.439753, 0.713454, 0.188669, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[89.813387, 91.785843, 99.128785, 103.592846, 234.214335], [27.002855, 27.918884, 31.104475, 32.349129, 242.263895], [67.007746, 71.543443, 73.002607, 77.951866, 96.783096], [102.821848, 105.567991, 107.516986, 107.902200, 321.445816], [36.040815, 39.888410, 40.771254, 41.233644, 96.498186], [24.183386, 24.669327, 25.357560, 25.480807, 27.360995]]
### 4
mean: [-0.548636, -2.373736, -3.985054, 4.676775, 3.190865, -0.760071]
std: [1.550852, 4.033202, 4.017601, 6.642884, 6.580224, 1.671589]
pca: [[-0.126310, -0.259864, -0.550066, 0.513993, 0.483946, -0.339928, 0.000000, 0.000000, 0.000000, 0.000000], [-0.360485, -0.399818, -0.224313, -0.109820, 0.112683, 0.796945, 0.000000, 0.000000, 0.000000, 0.000000], [-0.356252, -0.393703, 0.585684, 0.542841, -0.271823, -0.080572, 0.000000, 0.000000, 0.000000, 0.000000], [0.603260, -0.006683, -0.267830, 0.501598, -0.453359, 0.327360, 0.000000, 0.000000, 0.000000, 0.000000], [0.593577, -0.409511, 0.413928, -0.068096, 0.543397, 0.093338, 0.000000, 0.000000, 0.000000, 0.000000], [-0.104516, 0.670724, 0.247013, 0.415737, 0.422369, 0.356312, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.853315, 24.470328, 30.138787, 32.289672, 49.377250], [68.026190, 74.728151, 77.484566, 80.462517, 213.636198], [69.256169, 69.766456, 73.188347, 74.004621, 358.654866], [115.314207, 115.874470, 121.489513, 131.400801, 420.909784], [114.938925, 118.115194, 121.388703, 125.625945, 287.177858], [25.457994, 31.610688, 32.097599, 36.474384, 68.406387]]
### 6
mean: [5.521103, 5.890374, 2.166402, 0.876979, 6.267632, -0.709081]
std: [7.026032, 8.470482, 3.394427, 1.288183, 8.345359, 1.129923]
pca: [[0.491644, 0.069894, -0.307003, -0.306357, 0.613653, -0.434426, 0.000000, 0.000000, 0.000000, 0.000000], [0.592622, -0.160162, 0.763590, 0.120754, -0.101509, -0.123255, 0.000000, 0.000000, 0.000000, 0.000000], [0.236533, -0.306484, -0.456551, 0.450170, -0.480927, -0.455782, 0.000000, 0.000000, 0.000000, 0.000000], [0.072192, 0.771914, 0.039296, -0.283965, -0.478091, -0.296960, 0.000000, 0.000000, 0.000000, 0.000000], [0.583842, 0.192417, -0.327424, 0.082578, -0.114157, 0.703596, 0.000000, 0.000000, 0.000000, 0.000000], [-0.071094, 0.492600, 0.074095, 0.775536, 0.374475, -0.071504, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[120.823356, 122.487562, 130.636455, 138.068402, 496.899316], [147.416485, 150.073086, 157.360093, 163.994317, 530.133644], [60.111955, 60.398439, 62.657447, 64.853524, 194.976213], [22.856369, 23.427954, 23.867897, 29.749097, 78.928114], [145.465159, 145.473093, 156.022094, 163.975199, 564.086976], [19.439267, 20.137045, 20.933609, 21.803613, 63.817328]]
### 8
mean: [-10.460394]
std: [13.332979]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[230.496277, 232.101238, 247.512593, 261.671721, 941.435362]]
## 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": 1.3988418579101562, "std": 3.3666906356811523, "pca": [0.37892138957977295, 0.6993057727813721, -0.3556206226348877, 0.18723905086517334, 0.32143542170524597, -0.3202262222766876, 0.0, 0.0, 0.0, 0.0], "fourier": [48.79861395794153, 53.163192204535605, 56.37622407323018, 62.52988494400754, 125.8957736492157]}, "1": {"mean": -0.5891009569168091, "std": 2.091668128967285, "pca": [0.26907581090927124, -0.14400124549865723, -0.5023971199989319, -0.31908315420150757, 0.3026008605957031, 0.6790269613265991, 0.0, 0.0, 0.0, 0.0], "fourier": [30.859390324506812, 37.100460206241074, 37.8231417702412, 44.857116611456696, 53.01908803731203]}, "2": {"mean": -0.10002746433019638, "std": 2.4655416011810303, "pca": [-0.3068210482597351, 0.32889965176582336, -0.10794993489980698, 0.6329116225242615, -0.30099183320999146, 0.5430096387863159, 0.0, 0.0, 0.0, 0.0], "fourier": [37.061132190387035, 39.3551075185604, 41.11301404584287, 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"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": [[1.099019, 0.748267, 0.172588, -0.290981, -0.93896], [0.967926, -0.185472, -0.19078, -0.411166, -0.180364], [-1.23888, 0.607702, 0.041417, 0.170956, 0.019197], [-1.892525, 0.670028, 0.602947, -0.141317, 0.197968], [-1.861616, 0.110073, 0.540978, 0.412931, 0.062817], [1.768597, 0.143397, 0.298643, 0.053558, -0.568724]], "network.0.bias": [0.089192, 0.047031, -0.142475, -0.464674, -0.209455, 0.394619], "network.2.weight": [[0.591338, 0.493932, -0.543721, 0.101639, -0.891144, 0.661075], [-0.32998, 0.467302, -0.973379, 0.123648, -0.309037, -0.182135], [-0.976862, 0.381296, 0.780622, 0.375047, 0.577983, -0.250175], [0.850732, 0.57448, 0.227536, -0.432566, -0.348814, 0.776274], [-0.874155, 0.645459, 0.252846, 0.453567, 0.114735, -0.066841], [0.719377, -0.46316, -0.328905, -0.498376, 0.13346, -0.076507]], "network.2.bias": [0.677746, -0.753082, -0.421051, 0.057071, -0.391727, -0.260408], "network.4.weight": [[-0.043867, -0.043361, 0.069116, 0.029124, -0.295379, -1.266131], [-0.564205, 0.198026, -0.120796, -0.089609, -0.283046, -0.75108], [-0.159244, 0.842546, -0.595135, -0.656684, 0.380957, 0.356173], [0.779295, -0.057105, -0.197315, 0.581385, -0.168805, -0.681002], [0.735774, 0.124456, -0.635917, 0.393038, -0.915505, 0.076631], [0.299159, 0.368452, 0.536206, -0.578322, 0.832895, 1.146685]], "network.4.bias": [0.038631, 0.196617, -0.712941, 0.608627, 0.133581, -0.615058], "network.6.weight": [[-0.996141, -1.02033, -0.932741, 0.577975, 0.500565, -0.600379], [-0.367454, -0.373457, -0.895958, 0.606201, 0.696623, -0.946921], [-1.284256, -0.667157, -0.769281, 0.274272, 0.22221, -0.694621], [0.357399, 0.896229, 1.312032, 0.053588, 0.141161, 0.755839], [-1.224408, -0.770095, -0.890201, 0.611769, 0.679365, -0.602641], [0.239868, 1.147097, -0.068328, -0.039113, -0.093373, 0.68339]], "network.6.bias": [1.067663, 0.611628, 0.250177, -0.026762, 1.000369, -0.338858], "network.8.weight": [[-0.697739, -0.482314, 0.333912, 0.399706, -0.706207, 0.464205]], "network.8.bias": [-0.396194]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7018864750862122, "train_acc": 0.57, "val_loss": 0.6852182149887085, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6711314916610718, "train_acc": 0.72, "val_loss": 0.6327236294746399, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6451112329959869, "train_acc": 0.755, "val_loss": 0.5868462324142456, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.49526336789131165, "train_acc": 0.725, "val_loss": 0.567624568939209, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.49318522214889526, "train_acc": 0.76, "val_loss": 0.5374155640602112, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.45255260169506073, "train_acc": 0.775, "val_loss": 0.5061679482460022, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4236321747303009, "train_acc": 0.785, "val_loss": 0.48924705386161804, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4232695698738098, "train_acc": 0.795, "val_loss": 0.44879284501075745, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.39809946715831757, "train_acc": 0.825, "val_loss": 0.42724013328552246, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3819859176874161, "train_acc": 0.815, "val_loss": 0.4185667037963867, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.39326171576976776, "train_acc": 0.81, "val_loss": 0.3986184597015381, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.3375122994184494, "train_acc": 0.855, "val_loss": 0.4170275032520294, "val_acc": 0.86}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6852182149887085, "final_val_loss": 0.6327236294746399, "initial_val_acc": 0.62, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.5868462324142456, "final_val_loss": 0.4170275032520294, "initial_val_acc": 0.66, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 11}, "improvement": 0.16000000000000003, "first_improvement_epoch": 1}}
|
9,685
|
{"target_pattern": "alternating", "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": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2647, "learning_rate": 0.027384300196646873, "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: 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.10.bias": [
0.238895,
-0.069376,
-0.019,
0.032446,
-0.134076
],
"network.12.weight": [
[
0.744974,
-0.569332,
-0.68258,
-0.822136,
-0.58209
]
],
"network.12.bias": [
0.450358
]
}
## Activation Signature
### 0
mean: [-1.273383, 0.026318, 4.043189, 0.135474, -2.319465]
std: [1.647841, 1.456143, 2.886012, 2.200291, 3.048203]
pca: [[-0.003652, -0.054115, 0.571148, -0.423501, 0.701067, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.176764, -0.075460, -0.180758, 0.756000, 0.599041, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.453132, 0.885608, -0.039465, -0.073378, 0.058545, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.122265, 0.035442, 0.797982, 0.458660, -0.369663, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.865138, -0.453673, -0.052761, -0.182640, -0.097858, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.285821, 26.531685, 30.374818, 33.024704, 114.604425], [22.446747, 23.370951, 24.164777, 25.635420, 25.761278], [49.424764, 50.692835, 50.967132, 55.192463, 363.887004], [31.506828, 32.078466, 35.291617, 38.789503, 41.605394], [47.173917, 49.558021, 54.721400, 54.950020, 208.751893]]
### 2
mean: [-0.882188, -1.670891, 4.311678, 0.540377, 2.348379]
std: [1.194046, 1.571167, 3.207880, 1.413873, 1.882110]
pca: [[-0.248401, 0.121311, -0.519281, 0.794857, 0.148762, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.313378, -0.151967, 0.819035, 0.434446, 0.138341, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.791621, 0.042725, 0.157250, 0.420717, -0.412044, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.044377, 0.958496, 0.186222, -0.049212, 0.205465, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.459846, -0.204083, -0.011022, 0.005924, 0.864138, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.681875, 16.862468, 26.682227, 27.217032, 79.396973], [26.628696, 26.865004, 28.078417, 28.245829, 150.380179], [49.345462, 54.512443, 59.132017, 61.127540, 388.050986], [18.691322, 22.551048, 25.515340, 33.196442, 48.633900], [28.088903, 29.270753, 35.572101, 35.737448, 211.354078]]
### 4
mean: [1.104111, 3.256195, -0.342370, 0.726084, 6.189734]
std: [0.954508, 2.490548, 0.879463, 1.088412, 5.028818]
pca: [[0.033245, 0.623350, 0.530190, 0.413998, -0.397283, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.439427, -0.019293, 0.533595, 0.003599, 0.722354, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.134623, 0.289101, -0.503284, 0.659656, 0.458100, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.007962, 0.725359, -0.222577, -0.622485, 0.191733, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.887475, 0.036564, -0.362408, 0.077189, -0.271575, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.553407, 14.564133, 16.898483, 17.563413, 99.369985], [35.498908, 40.989607, 45.341841, 45.791959, 293.057534], [13.336668, 13.342733, 16.204858, 17.691751, 30.813260], [16.240287, 17.000475, 18.012075, 22.926672, 65.347594], [72.544250, 82.233632, 91.926787, 93.208824, 557.076040]]
### 6
mean: [-1.122061, 7.928320, -0.828390, -2.615407, -2.069271]
std: [2.365389, 6.994005, 2.363720, 1.745695, 1.974310]
pca: [[-0.278753, 0.513521, -0.426408, 0.267214, 0.636683, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.867287, 0.158680, 0.105049, 0.438841, 0.137906, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.272763, 0.601657, 0.652863, 0.250950, -0.272770, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.195783, -0.517469, 0.536397, 0.263244, 0.580410, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.239541, -0.285223, -0.305270, 0.777008, -0.405385, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.192535, 37.336532, 45.460962, 45.820458, 100.985483], [110.590361, 115.960242, 119.348047, 124.361876, 713.548756], [35.333283, 35.923443, 46.805480, 47.105378, 74.555079], [25.970702, 28.485613, 33.848394, 34.279719, 235.386672], [28.896569, 32.232321, 36.252583, 36.476075, 186.234356]]
### 8
mean: [-1.059960, -0.500977, -2.235900, -1.517897, 6.050347]
std: [2.236777, 1.667181, 0.901829, 3.538303, 6.561469]
pca: [[-0.280049, 0.184121, -0.160746, -0.536926, 0.757326, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.203202, 0.486488, -0.549019, 0.633445, 0.139149, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.104776, -0.417967, 0.448911, 0.555252, 0.551815, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.439824, 0.594990, 0.651767, 0.003433, -0.166521, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.822106, 0.448016, 0.215446, 0.046270, 0.273616, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.154073, 37.153474, 39.263940, 40.216207, 95.396392], [24.273339, 26.871519, 31.065064, 31.266978, 45.087882], [12.909455, 14.163048, 16.878171, 17.859613, 201.231011], [49.504331, 58.269668, 64.144673, 64.734683, 136.610750], [104.173804, 107.322476, 109.606297, 113.903045, 544.531239]]
### 10
mean: [-1.536215, 3.871437, 5.215611, 4.581687, 2.760354]
std: [4.375098, 5.881261, 6.376441, 6.133090, 4.614989]
pca: [[-0.350501, 0.732103, 0.514892, 0.171717, 0.215808, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.476104, -0.108873, 0.011660, 0.527757, 0.694844, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.514504, 0.607801, -0.402235, -0.443432, 0.086249, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.496416, 0.167326, 0.226064, 0.469161, -0.674060, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.373272, -0.233989, 0.722393, -0.524636, 0.093928, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[61.608206, 69.895323, 80.712345, 81.357109, 138.259385], [83.418629, 96.787365, 102.935435, 106.789155, 348.429349], [98.294490, 105.796047, 105.834482, 112.440606, 469.404901], [90.009402, 101.473135, 105.225635, 110.212455, 412.351860], [63.968559, 75.711318, 81.882754, 84.598440, 248.431891]]
### 12
mean: [-12.285606]
std: [13.193880]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[205.206600, 216.448105, 220.664157, 227.587378, 1105.704675]]
## 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.714794,
-0.105015,
-0.119166,
0.023806,
0.402079
],
[
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0.307132,
-0.539654,
-0.174171
],
[
0.104805,
-0.119359,
0.984375,
0.321791,
0.849366
],
[
-1.088325,
0.005582,
0.697597,
-0.113552,
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],
[
0.146818,
-0.640648,
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]
],
"network.0.bias": [
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0.336401,
0.320634,
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],
"network.2.weight": [
[
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],
[
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-0.456582,
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0.787942
],
[
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0.512688,
0.96333,
0.650887,
-0.605844
],
[
-1.057206,
-0.819461,
0.313432,
-0.56749,
0.661424
],
[
0.668221,
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0.482101,
0.604288,
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]
],
"network.2.bias": [
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0.004811,
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],
"network.4.weight": [
[
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],
[
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0.31456
],
[
0.760365,
-0.715851,
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-0.215669
],
[
0.730985,
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0.069738,
0.825187,
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],
[
-0.890305,
0.750521,
1.05085,
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0.868815
]
],
"network.4.bias": [
0.326389,
0.419849,
0.200105,
0.039444,
0.269787
],
"network.6.weight": [
[
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0.232426,
-0.252005
],
[
-0.369185,
0.888782,
-0.643301,
-0.443924,
0.919122
],
[
0.625939,
-0.139076,
0.268244,
0.557451,
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],
[
-0.114082,
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-0.210933,
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],
[
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0.355692,
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-0.382298
]
],
"network.6.bias": [
0.508461,
0.095469,
0.731264,
-0.106758,
0.29309
],
"network.8.weight": [
[
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0.489527,
-0.427641,
0.23737
],
[
0.646319,
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0.264428,
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0.039125
],
[
-0.219668,
-0.146588,
0.02772,
0.845525,
0.331102
],
[
0.51174,
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0.962465,
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0.189032
],
[
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0.823585,
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-0.343935,
-0.813697
]
],
"network.8.bias": [
0.459823,
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0.555405,
0.119869
],
"network.10.weight": [
[
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0.280506,
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0.819926,
-0.448064
],
[
-0.872045,
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0.752451
],
[
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0.913929
],
[
-0.773343,
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0.172424,
-0.411659,
0.827522
],
[
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0.090955,
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0.571493
]
],
"network.10.bias": [
0.238895,
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-0.019,
0.032446,
-0.134076
],
"network.12.weight": [
[
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-0.569332,
-0.68258,
-0.822136,
-0.58209
]
],
"network.12.bias": [
0.450358
]
}
## Activation Signature
### 0
mean: [-1.273383, 0.026318, 4.043189, 0.135474, -2.319465]
std: [1.647841, 1.456143, 2.886012, 2.200291, 3.048203]
pca: [[-0.003652, -0.054115, 0.571148, -0.423501, 0.701067, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.176764, -0.075460, -0.180758, 0.756000, 0.599041, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.453132, 0.885608, -0.039465, -0.073378, 0.058545, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.122265, 0.035442, 0.797982, 0.458660, -0.369663, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.865138, -0.453673, -0.052761, -0.182640, -0.097858, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.285821, 26.531685, 30.374818, 33.024704, 114.604425], [22.446747, 23.370951, 24.164777, 25.635420, 25.761278], [49.424764, 50.692835, 50.967132, 55.192463, 363.887004], [31.506828, 32.078466, 35.291617, 38.789503, 41.605394], [47.173917, 49.558021, 54.721400, 54.950020, 208.751893]]
### 2
mean: [-0.882188, -1.670891, 4.311678, 0.540377, 2.348379]
std: [1.194046, 1.571167, 3.207880, 1.413873, 1.882110]
pca: [[-0.248401, 0.121311, -0.519281, 0.794857, 0.148762, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.313378, -0.151967, 0.819035, 0.434446, 0.138341, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.791621, 0.042725, 0.157250, 0.420717, -0.412044, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.044377, 0.958496, 0.186222, -0.049212, 0.205465, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.459846, -0.204083, -0.011022, 0.005924, 0.864138, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.681875, 16.862468, 26.682227, 27.217032, 79.396973], [26.628696, 26.865004, 28.078417, 28.245829, 150.380179], [49.345462, 54.512443, 59.132017, 61.127540, 388.050986], [18.691322, 22.551048, 25.515340, 33.196442, 48.633900], [28.088903, 29.270753, 35.572101, 35.737448, 211.354078]]
### 4
mean: [1.104111, 3.256195, -0.342370, 0.726084, 6.189734]
std: [0.954508, 2.490548, 0.879463, 1.088412, 5.028818]
pca: [[0.033245, 0.623350, 0.530190, 0.413998, -0.397283, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.439427, -0.019293, 0.533595, 0.003599, 0.722354, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.134623, 0.289101, -0.503284, 0.659656, 0.458100, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.007962, 0.725359, -0.222577, -0.622485, 0.191733, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.887475, 0.036564, -0.362408, 0.077189, -0.271575, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.553407, 14.564133, 16.898483, 17.563413, 99.369985], [35.498908, 40.989607, 45.341841, 45.791959, 293.057534], [13.336668, 13.342733, 16.204858, 17.691751, 30.813260], [16.240287, 17.000475, 18.012075, 22.926672, 65.347594], [72.544250, 82.233632, 91.926787, 93.208824, 557.076040]]
### 6
mean: [-1.122061, 7.928320, -0.828390, -2.615407, -2.069271]
std: [2.365389, 6.994005, 2.363720, 1.745695, 1.974310]
pca: [[-0.278753, 0.513521, -0.426408, 0.267214, 0.636683, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.867287, 0.158680, 0.105049, 0.438841, 0.137906, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.272763, 0.601657, 0.652863, 0.250950, -0.272770, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.195783, -0.517469, 0.536397, 0.263244, 0.580410, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.239541, -0.285223, -0.305270, 0.777008, -0.405385, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.192535, 37.336532, 45.460962, 45.820458, 100.985483], [110.590361, 115.960242, 119.348047, 124.361876, 713.548756], [35.333283, 35.923443, 46.805480, 47.105378, 74.555079], [25.970702, 28.485613, 33.848394, 34.279719, 235.386672], [28.896569, 32.232321, 36.252583, 36.476075, 186.234356]]
### 8
mean: [-1.059960, -0.500977, -2.235900, -1.517897, 6.050347]
std: [2.236777, 1.667181, 0.901829, 3.538303, 6.561469]
pca: [[-0.280049, 0.184121, -0.160746, -0.536926, 0.757326, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.203202, 0.486488, -0.549019, 0.633445, 0.139149, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.104776, -0.417967, 0.448911, 0.555252, 0.551815, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.439824, 0.594990, 0.651767, 0.003433, -0.166521, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.822106, 0.448016, 0.215446, 0.046270, 0.273616, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.154073, 37.153474, 39.263940, 40.216207, 95.396392], [24.273339, 26.871519, 31.065064, 31.266978, 45.087882], [12.909455, 14.163048, 16.878171, 17.859613, 201.231011], [49.504331, 58.269668, 64.144673, 64.734683, 136.610750], [104.173804, 107.322476, 109.606297, 113.903045, 544.531239]]
### 10
mean: [-1.536215, 3.871437, 5.215611, 4.581687, 2.760354]
std: [4.375098, 5.881261, 6.376441, 6.133090, 4.614989]
pca: [[-0.350501, 0.732103, 0.514892, 0.171717, 0.215808, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.476104, -0.108873, 0.011660, 0.527757, 0.694844, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.514504, 0.607801, -0.402235, -0.443432, 0.086249, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.496416, 0.167326, 0.226064, 0.469161, -0.674060, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.373272, -0.233989, 0.722393, -0.524636, 0.093928, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[61.608206, 69.895323, 80.712345, 81.357109, 138.259385], [83.418629, 96.787365, 102.935435, 106.789155, 348.429349], [98.294490, 105.796047, 105.834482, 112.440606, 469.404901], [90.009402, 101.473135, 105.225635, 110.212455, 412.351860], [63.968559, 75.711318, 81.882754, 84.598440, 248.431891]]
### 12
mean: [-12.285606]
std: [13.193880]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[205.206600, 216.448105, 220.664157, 227.587378, 1105.704675]]
## 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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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6843773722648621, "train_acc": 0.58, "val_loss": 0.7112225294113159, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6789121329784393, "train_acc": 0.58, "val_loss": 0.7095251679420471, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6815834641456604, "train_acc": 0.58, "val_loss": 0.7019845843315125, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6628834903240204, "train_acc": 0.58, "val_loss": 0.6773743629455566, "val_acc": 0.48}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6217661798000336, "train_acc": 0.58, "val_loss": 0.6344722509384155, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5842229723930359, "train_acc": 0.505, "val_loss": 0.5583524107933044, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.48320287466049194, "train_acc": 0.565, "val_loss": 0.48700904846191406, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.39484140276908875, "train_acc": 0.915, "val_loss": 0.4293482303619385, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.3056909143924713, "train_acc": 0.915, "val_loss": 0.38249751925468445, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.24845994263887405, "train_acc": 0.94, "val_loss": 0.3118199408054352, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.1950974389910698, "train_acc": 0.945, "val_loss": 0.2327365130186081, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.14921299368143082, "train_acc": 0.955, "val_loss": 0.2001117318868637, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.11505125090479851, "train_acc": 0.965, "val_loss": 0.18778373301029205, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.09676316380500793, "train_acc": 0.97, "val_loss": 0.14889074862003326, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.07953660562634468, "train_acc": 0.98, "val_loss": 0.06854072958230972, "val_acc": 0.98}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7112225294113159, "final_val_loss": 0.6344722509384155, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5583524107933044, "final_val_loss": 0.06854072958230972, "initial_val_acc": 0.48, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 14}, "improvement": 0.5, "first_improvement_epoch": 4}}
|
9,686
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.46, "improved_accuracy": 1.0, "improvement": 0.54, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6290, "learning_rate": 0.08656601654229958, "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: 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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"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.4.bias": [
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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: [0.055159, 2.287496, -2.845813, -1.444652, -1.624283, 1.025428, 1.566011, -0.064842]
std: [1.757494, 2.548075, 1.515517, 3.130792, 1.313932, 2.943286, 2.778758, 2.317783]
pca: [[-0.038402, 0.421854, -0.452337, -0.066931, 0.381205, -0.035401, 0.618683, 0.286596, 0.000000, 0.000000], [0.208665, 0.597414, 0.528768, 0.235911, 0.380833, -0.273349, -0.189707, -0.092538, 0.000000, 0.000000], [-0.049389, -0.189222, -0.449791, 0.644810, 0.131373, -0.410223, -0.055135, -0.393805, 0.000000, 0.000000], [-0.520511, -0.394727, 0.154442, -0.203828, 0.640844, -0.193190, -0.162806, 0.182624, 0.000000, 0.000000], [0.088522, -0.197883, 0.161818, 0.596135, 0.248247, 0.659693, 0.088257, 0.258521, 0.000000, 0.000000], [0.534584, -0.023771, -0.413397, -0.291578, 0.407891, 0.237264, -0.473176, -0.105716, 0.000000, 0.000000], [0.454413, -0.419601, 0.304209, -0.165005, 0.194948, -0.118364, 0.560191, -0.363105, 0.000000, 0.000000], [0.426036, -0.240279, -0.002576, 0.122143, -0.125311, -0.461435, -0.078726, 0.714851, 0.000000, 0.000000]]
fourier: [[27.779442, 27.804848, 28.006070, 30.836669, 32.623287], [41.235624, 41.289434, 43.663595, 46.518274, 205.874647], [23.674395, 23.797104, 24.135841, 27.333971, 256.123166], [51.022685, 51.357543, 61.332283, 70.496172, 130.018664], [19.529975, 21.518093, 21.963280, 23.057132, 146.185435], [48.315760, 49.427248, 51.714257, 52.601623, 92.288504], [46.402386, 46.566090, 47.553309, 52.893991, 140.940975], [37.599983, 38.780025, 40.070707, 43.866769, 48.493566]]
### 2
mean: [-2.286146, -3.447034, 4.378579, -0.446116, -2.192527, 4.545850, -2.189448, 0.065210]
std: [1.985194, 3.123159, 4.629873, 1.981067, 3.083841, 5.721875, 2.960961, 2.475919]
pca: [[-0.213401, -0.010460, 0.029726, 0.632877, 0.184364, 0.457606, -0.316494, -0.457572, 0.000000, 0.000000], [-0.334121, 0.084129, 0.691606, -0.468298, -0.221489, 0.170337, -0.074385, -0.316319, 0.000000, 0.000000], [0.507231, 0.048502, -0.211623, -0.316095, -0.109904, 0.751735, 0.119904, -0.064041, 0.000000, 0.000000], [-0.032009, 0.555752, 0.189572, 0.359967, -0.490865, 0.166997, -0.033238, 0.504639, 0.000000, 0.000000], [-0.337136, -0.025538, 0.187159, -0.030184, 0.618073, 0.341972, 0.360715, 0.469759, 0.000000, 0.000000], [0.618789, 0.256126, 0.509843, 0.222159, 0.324738, -0.204377, 0.239865, -0.193508, 0.000000, 0.000000], [-0.290994, 0.372967, -0.289644, 0.051874, -0.123011, -0.053520, 0.708035, -0.412703, 0.000000, 0.000000], [-0.057241, 0.690104, -0.247412, -0.312594, 0.401652, -0.083716, -0.435721, -0.058018, 0.000000, 0.000000]]
fourier: [[30.536274, 36.160538, 39.410308, 42.786573, 205.753121], [53.227958, 56.966781, 58.435566, 60.220555, 310.233064], [77.950465, 85.051799, 90.259270, 93.910392, 394.072022], [30.929269, 30.953314, 35.520251, 37.921827, 40.150419], [52.949129, 57.744498, 62.656680, 63.049888, 197.327413], [92.493028, 107.574072, 109.964409, 119.404068, 409.126441], [47.824180, 52.297100, 54.787785, 55.131709, 197.050333], [35.314563, 38.438735, 38.894302, 41.929774, 43.421025]]
### 4
mean: [-3.031449, 5.185102, -3.465791, -3.398194, 0.102906, 5.636985, -2.200971, -4.257400]
std: [4.026971, 5.714941, 3.499781, 3.126039, 0.932672, 6.106952, 2.205929, 4.106445]
pca: [[-0.352853, 0.304437, 0.497230, -0.490528, 0.284605, 0.455925, -0.016350, -0.076301, 0.000000, 0.000000], [0.503804, -0.265738, -0.005661, 0.073126, 0.147875, 0.593882, -0.453301, 0.300234, 0.000000, 0.000000], [-0.307697, 0.224039, 0.088660, 0.069321, 0.112218, -0.389561, -0.507472, 0.648525, 0.000000, 0.000000], [-0.275263, -0.121686, -0.531166, -0.062939, 0.524779, -0.034573, -0.399025, -0.433030, 0.000000, 0.000000], [0.069744, -0.263032, 0.640919, 0.480526, 0.378224, -0.238173, -0.073659, -0.281178, 0.000000, 0.000000], [0.527727, 0.784972, -0.057243, 0.091914, 0.210258, -0.117687, -0.061690, -0.178140, 0.000000, 0.000000], [-0.194233, 0.101118, -0.220559, 0.429681, 0.474983, 0.267973, 0.540767, 0.359067, 0.000000, 0.000000], [-0.360752, 0.275877, -0.005654, 0.566823, -0.443031, 0.379602, -0.275394, -0.237095, 0.000000, 0.000000]]
fourier: [[67.527507, 75.713203, 77.502494, 85.829823, 272.830402], [97.231394, 106.228914, 111.552160, 122.404633, 466.659213], [59.354683, 65.015680, 68.324190, 74.508159, 311.921203], [53.747149, 56.524823, 60.423536, 68.281774, 305.837455], [13.769066, 15.313194, 16.842637, 17.082968, 17.928935], [104.671960, 105.142491, 115.221951, 136.060790, 507.328684], [37.821644, 40.158538, 43.540888, 46.952593, 198.087375], [70.150334, 75.871308, 80.974620, 86.752414, 383.165934]]
### 6
mean: [0.248031, -2.799652, 4.261756, 4.501592, -2.232146, -3.143690, -4.200202, -3.630401]
std: [1.174325, 2.411363, 5.384020, 5.465577, 3.335130, 4.341460, 4.258869, 4.488781]
pca: [[0.071765, -0.644853, 0.728014, -0.024394, -0.073233, 0.036842, -0.078440, -0.188526, 0.000000, 0.000000], [-0.196628, 0.655149, 0.556527, 0.046312, -0.353730, 0.299297, 0.074092, -0.007620, 0.000000, 0.000000], [0.467192, 0.133378, 0.019407, 0.743293, 0.235872, 0.192042, -0.226258, -0.259563, 0.000000, 0.000000], [0.474174, -0.167419, -0.044319, 0.160582, -0.404975, 0.151403, 0.482541, 0.547362, 0.000000, 0.000000], [-0.287825, -0.275156, -0.368094, 0.058928, -0.326188, 0.679627, 0.057355, -0.361799, 0.000000, 0.000000], [-0.376784, -0.087079, -0.059726, 0.531554, -0.426489, -0.575874, 0.160244, -0.158533, 0.000000, 0.000000], [-0.369664, -0.059649, 0.135279, 0.232026, 0.600042, 0.156229, 0.628321, 0.091700, 0.000000, 0.000000], [-0.389380, -0.149249, 0.023915, 0.281303, 0.039116, 0.177000, -0.529683, 0.658013, 0.000000, 0.000000]]
fourier: [[19.308718, 20.124633, 20.572240, 22.322755, 22.803968], [38.560855, 41.488752, 43.674043, 50.802878, 251.968675], [92.360207, 96.658557, 102.561901, 119.337738, 383.558072], [94.281616, 95.932071, 104.540234, 121.354186, 405.143283], [56.449424, 60.944334, 63.658594, 73.841069, 200.893117], [74.647541, 77.700384, 84.011207, 96.201288, 282.932169], [73.465297, 76.119903, 82.270017, 94.135914, 378.018210], [77.152475, 80.769664, 86.664444, 99.248909, 326.736026]]
### 8
mean: [-3.549420]
std: [5.659563]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[95.939704, 97.115794, 104.145520, 127.481578, 319.447831]]
## 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: 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.8.weight": [
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"network.8.bias": [
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}
## Activation Signature
### 0
mean: [0.055159, 2.287496, -2.845813, -1.444652, -1.624283, 1.025428, 1.566011, -0.064842]
std: [1.757494, 2.548075, 1.515517, 3.130792, 1.313932, 2.943286, 2.778758, 2.317783]
pca: [[-0.038402, 0.421854, -0.452337, -0.066931, 0.381205, -0.035401, 0.618683, 0.286596, 0.000000, 0.000000], [0.208665, 0.597414, 0.528768, 0.235911, 0.380833, -0.273349, -0.189707, -0.092538, 0.000000, 0.000000], [-0.049389, -0.189222, -0.449791, 0.644810, 0.131373, -0.410223, -0.055135, -0.393805, 0.000000, 0.000000], [-0.520511, -0.394727, 0.154442, -0.203828, 0.640844, -0.193190, -0.162806, 0.182624, 0.000000, 0.000000], [0.088522, -0.197883, 0.161818, 0.596135, 0.248247, 0.659693, 0.088257, 0.258521, 0.000000, 0.000000], [0.534584, -0.023771, -0.413397, -0.291578, 0.407891, 0.237264, -0.473176, -0.105716, 0.000000, 0.000000], [0.454413, -0.419601, 0.304209, -0.165005, 0.194948, -0.118364, 0.560191, -0.363105, 0.000000, 0.000000], [0.426036, -0.240279, -0.002576, 0.122143, -0.125311, -0.461435, -0.078726, 0.714851, 0.000000, 0.000000]]
fourier: [[27.779442, 27.804848, 28.006070, 30.836669, 32.623287], [41.235624, 41.289434, 43.663595, 46.518274, 205.874647], [23.674395, 23.797104, 24.135841, 27.333971, 256.123166], [51.022685, 51.357543, 61.332283, 70.496172, 130.018664], [19.529975, 21.518093, 21.963280, 23.057132, 146.185435], [48.315760, 49.427248, 51.714257, 52.601623, 92.288504], [46.402386, 46.566090, 47.553309, 52.893991, 140.940975], [37.599983, 38.780025, 40.070707, 43.866769, 48.493566]]
### 2
mean: [-2.286146, -3.447034, 4.378579, -0.446116, -2.192527, 4.545850, -2.189448, 0.065210]
std: [1.985194, 3.123159, 4.629873, 1.981067, 3.083841, 5.721875, 2.960961, 2.475919]
pca: [[-0.213401, -0.010460, 0.029726, 0.632877, 0.184364, 0.457606, -0.316494, -0.457572, 0.000000, 0.000000], [-0.334121, 0.084129, 0.691606, -0.468298, -0.221489, 0.170337, -0.074385, -0.316319, 0.000000, 0.000000], [0.507231, 0.048502, -0.211623, -0.316095, -0.109904, 0.751735, 0.119904, -0.064041, 0.000000, 0.000000], [-0.032009, 0.555752, 0.189572, 0.359967, -0.490865, 0.166997, -0.033238, 0.504639, 0.000000, 0.000000], [-0.337136, -0.025538, 0.187159, -0.030184, 0.618073, 0.341972, 0.360715, 0.469759, 0.000000, 0.000000], [0.618789, 0.256126, 0.509843, 0.222159, 0.324738, -0.204377, 0.239865, -0.193508, 0.000000, 0.000000], [-0.290994, 0.372967, -0.289644, 0.051874, -0.123011, -0.053520, 0.708035, -0.412703, 0.000000, 0.000000], [-0.057241, 0.690104, -0.247412, -0.312594, 0.401652, -0.083716, -0.435721, -0.058018, 0.000000, 0.000000]]
fourier: [[30.536274, 36.160538, 39.410308, 42.786573, 205.753121], [53.227958, 56.966781, 58.435566, 60.220555, 310.233064], [77.950465, 85.051799, 90.259270, 93.910392, 394.072022], [30.929269, 30.953314, 35.520251, 37.921827, 40.150419], [52.949129, 57.744498, 62.656680, 63.049888, 197.327413], [92.493028, 107.574072, 109.964409, 119.404068, 409.126441], [47.824180, 52.297100, 54.787785, 55.131709, 197.050333], [35.314563, 38.438735, 38.894302, 41.929774, 43.421025]]
### 4
mean: [-3.031449, 5.185102, -3.465791, -3.398194, 0.102906, 5.636985, -2.200971, -4.257400]
std: [4.026971, 5.714941, 3.499781, 3.126039, 0.932672, 6.106952, 2.205929, 4.106445]
pca: [[-0.352853, 0.304437, 0.497230, -0.490528, 0.284605, 0.455925, -0.016350, -0.076301, 0.000000, 0.000000], [0.503804, -0.265738, -0.005661, 0.073126, 0.147875, 0.593882, -0.453301, 0.300234, 0.000000, 0.000000], [-0.307697, 0.224039, 0.088660, 0.069321, 0.112218, -0.389561, -0.507472, 0.648525, 0.000000, 0.000000], [-0.275263, -0.121686, -0.531166, -0.062939, 0.524779, -0.034573, -0.399025, -0.433030, 0.000000, 0.000000], [0.069744, -0.263032, 0.640919, 0.480526, 0.378224, -0.238173, -0.073659, -0.281178, 0.000000, 0.000000], [0.527727, 0.784972, -0.057243, 0.091914, 0.210258, -0.117687, -0.061690, -0.178140, 0.000000, 0.000000], [-0.194233, 0.101118, -0.220559, 0.429681, 0.474983, 0.267973, 0.540767, 0.359067, 0.000000, 0.000000], [-0.360752, 0.275877, -0.005654, 0.566823, -0.443031, 0.379602, -0.275394, -0.237095, 0.000000, 0.000000]]
fourier: [[67.527507, 75.713203, 77.502494, 85.829823, 272.830402], [97.231394, 106.228914, 111.552160, 122.404633, 466.659213], [59.354683, 65.015680, 68.324190, 74.508159, 311.921203], [53.747149, 56.524823, 60.423536, 68.281774, 305.837455], [13.769066, 15.313194, 16.842637, 17.082968, 17.928935], [104.671960, 105.142491, 115.221951, 136.060790, 507.328684], [37.821644, 40.158538, 43.540888, 46.952593, 198.087375], [70.150334, 75.871308, 80.974620, 86.752414, 383.165934]]
### 6
mean: [0.248031, -2.799652, 4.261756, 4.501592, -2.232146, -3.143690, -4.200202, -3.630401]
std: [1.174325, 2.411363, 5.384020, 5.465577, 3.335130, 4.341460, 4.258869, 4.488781]
pca: [[0.071765, -0.644853, 0.728014, -0.024394, -0.073233, 0.036842, -0.078440, -0.188526, 0.000000, 0.000000], [-0.196628, 0.655149, 0.556527, 0.046312, -0.353730, 0.299297, 0.074092, -0.007620, 0.000000, 0.000000], [0.467192, 0.133378, 0.019407, 0.743293, 0.235872, 0.192042, -0.226258, -0.259563, 0.000000, 0.000000], [0.474174, -0.167419, -0.044319, 0.160582, -0.404975, 0.151403, 0.482541, 0.547362, 0.000000, 0.000000], [-0.287825, -0.275156, -0.368094, 0.058928, -0.326188, 0.679627, 0.057355, -0.361799, 0.000000, 0.000000], [-0.376784, -0.087079, -0.059726, 0.531554, -0.426489, -0.575874, 0.160244, -0.158533, 0.000000, 0.000000], [-0.369664, -0.059649, 0.135279, 0.232026, 0.600042, 0.156229, 0.628321, 0.091700, 0.000000, 0.000000], [-0.389380, -0.149249, 0.023915, 0.281303, 0.039116, 0.177000, -0.529683, 0.658013, 0.000000, 0.000000]]
fourier: [[19.308718, 20.124633, 20.572240, 22.322755, 22.803968], [38.560855, 41.488752, 43.674043, 50.802878, 251.968675], [92.360207, 96.658557, 102.561901, 119.337738, 383.558072], [94.281616, 95.932071, 104.540234, 121.354186, 405.143283], [56.449424, 60.944334, 63.658594, 73.841069, 200.893117], [74.647541, 77.700384, 84.011207, 96.201288, 282.932169], [73.465297, 76.119903, 82.270017, 94.135914, 378.018210], [77.152475, 80.769664, 86.664444, 99.248909, 326.736026]]
### 8
mean: [-3.549420]
std: [5.659563]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[95.939704, 97.115794, 104.145520, 127.481578, 319.447831]]
## 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": 0.7002926170825958, "train_acc": 0.58, "val_loss": 0.7270856499671936, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.637146919965744, "train_acc": 0.58, "val_loss": 0.5847645401954651, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5381377339363098, "train_acc": 0.58, "val_loss": 0.607737123966217, "val_acc": 0.64}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4500862807035446, "train_acc": 0.775, "val_loss": 0.3434184193611145, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.34329864382743835, "train_acc": 0.86, "val_loss": 0.29143622517585754, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3389085382223129, "train_acc": 0.83, "val_loss": 0.2536885738372803, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.29433634877204895, "train_acc": 0.885, "val_loss": 0.403035432100296, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3412192165851593, "train_acc": 0.84, "val_loss": 0.16621780395507812, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.28950802236795425, "train_acc": 0.9, "val_loss": 0.18736344575881958, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.24859675765037537, "train_acc": 0.895, "val_loss": 0.15820199251174927, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.22494520992040634, "train_acc": 0.905, "val_loss": 0.1413455605506897, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.21696971356868744, "train_acc": 0.895, "val_loss": 0.08277161419391632, "val_acc": 0.98}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7270856499671936, "final_val_loss": 0.5847645401954651, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.607737123966217, "final_val_loss": 0.08277161419391632, "initial_val_acc": 0.64, "final_val_acc": 0.98, "best_val_acc": 1.0, "best_epoch": 10}, "improvement": 0.54, "first_improvement_epoch": 1}}
|
9,687
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.44, "improved_accuracy": 0.92, "improvement": 0.48000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4866, "learning_rate": 0.022175220334819577, "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: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [0.590077, -1.571670, -2.088794, 0.222224, 1.614420]
std: [1.509268, 1.415398, 1.589339, 1.261575, 1.381937]
pca: [[-0.410963, 0.657395, 0.270855, -0.192408, 0.537177, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.179943, 0.724397, -0.201443, 0.371134, -0.514344, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.714147, 0.088504, -0.197743, 0.236143, 0.622331, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.288071, -0.026677, 0.918766, 0.237764, -0.125063, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.453586, -0.185841, -0.053149, 0.844360, 0.209655, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.301097, 23.611510, 24.208314, 29.618327, 53.106928], [21.068774, 21.988964, 23.628965, 25.616678, 141.450290], [23.987048, 26.979754, 29.535784, 32.370718, 187.991479], [16.010904, 20.000176, 23.276682, 26.124278, 29.408372], [21.280967, 21.845999, 23.117536, 28.562705, 145.297765]]
### 2
mean: [-0.506177, 0.812338, -0.586374, 0.799276, 0.973609]
std: [0.245056, 0.957358, 0.538789, 0.738022, 0.980321]
pca: [[-0.114826, -0.214601, 0.339343, 0.907710, -0.040870, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.468719, 0.857797, 0.031240, 0.124286, -0.167525, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.360102, -0.068522, 0.677439, -0.289424, 0.568280, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.463947, 0.366627, -0.218701, 0.260058, 0.731353, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.649767, 0.281106, 0.614099, -0.096021, -0.335328, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.346384, 4.441138, 4.476293, 4.671945, 45.555893], [15.200306, 15.391229, 16.025503, 16.192554, 73.110392], [9.353951, 9.961560, 10.542069, 10.794642, 52.773695], [11.098462, 13.582770, 14.504255, 14.708759, 71.934856], [15.747453, 16.559553, 18.016943, 19.032762, 87.624857]]
### 4
mean: [-0.451494, -0.025054, -0.006632, 0.547793, 1.229898]
std: [0.301567, 0.359344, 0.525131, 0.323249, 0.729358]
pca: [[0.268624, -0.432095, 0.349094, 0.050051, 0.785343, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.348617, -0.121712, -0.333043, 0.862589, -0.093141, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.483414, 0.617741, 0.275140, 0.427176, 0.355704, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.311772, 0.041216, 0.818840, 0.146586, -0.457289, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.689504, 0.644342, -0.144967, -0.222416, 0.197289, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.106644, 5.256846, 5.476692, 5.777099, 40.634468], [6.085997, 6.165763, 6.575926, 6.650086, 6.757722], [8.777028, 8.940574, 9.294358, 9.945928, 10.252494], [5.439348, 5.585926, 5.850759, 5.860708, 49.301409], [12.168903, 12.318777, 13.482620, 13.826274, 110.690859]]
### 6
mean: [1.119843, -0.614245, -0.613170, 1.363392, 1.475984]
std: [0.665787, 0.212910, 0.360261, 0.801155, 0.842498]
pca: [[0.472982, 0.641832, -0.393948, -0.224233, 0.398578, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.146917, -0.471620, -0.095506, 0.042274, 0.863181, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.253452, 0.501275, 0.758558, 0.116700, 0.308961, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.572235, -0.322506, 0.490923, -0.572293, 0.003533, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.602505, -0.101685, 0.138811, 0.778970, 0.024199, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.153931, 11.516541, 12.464594, 12.497736, 100.785877], [3.502951, 3.512473, 3.700766, 3.875872, 55.282044], [6.358580, 6.505834, 6.654612, 7.314016, 55.185333], [13.716692, 14.019214, 14.870002, 14.876102, 122.705313], [14.369011, 14.704468, 15.712455, 15.740216, 132.838574]]
### 8
mean: [-0.894282, 1.667001, 1.485124, -0.585418, 2.433765]
std: [0.331823, 0.944059, 0.810375, 0.741003, 1.340520]
pca: [[-0.165646, 0.081026, 0.878338, -0.355476, -0.261065, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.471826, 0.349808, -0.312983, -0.520943, -0.534485, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.405040, -0.000972, 0.227551, 0.735484, -0.493179, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.370072, 0.893987, -0.040188, 0.245817, 0.042351, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.670023, 0.268059, 0.277792, -0.029878, 0.633366, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.598362, 6.052987, 6.082397, 6.192420, 80.485332], [15.963478, 16.926448, 17.548498, 17.609891, 150.030069], [13.707957, 14.444663, 15.030826, 15.199814, 133.661116], [12.626109, 13.164694, 13.784961, 13.816231, 52.687579], [22.681336, 23.905418, 24.938075, 25.068173, 219.038840]]
### 10
mean: [-2.624814]
std: [1.722103]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.179293, 31.098499, 31.967645, 32.251383, 236.233233]]
## 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: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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-0.28902,
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[
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[
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[
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}
## Activation Signature
### 0
mean: [0.590077, -1.571670, -2.088794, 0.222224, 1.614420]
std: [1.509268, 1.415398, 1.589339, 1.261575, 1.381937]
pca: [[-0.410963, 0.657395, 0.270855, -0.192408, 0.537177, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.179943, 0.724397, -0.201443, 0.371134, -0.514344, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.714147, 0.088504, -0.197743, 0.236143, 0.622331, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.288071, -0.026677, 0.918766, 0.237764, -0.125063, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.453586, -0.185841, -0.053149, 0.844360, 0.209655, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.301097, 23.611510, 24.208314, 29.618327, 53.106928], [21.068774, 21.988964, 23.628965, 25.616678, 141.450290], [23.987048, 26.979754, 29.535784, 32.370718, 187.991479], [16.010904, 20.000176, 23.276682, 26.124278, 29.408372], [21.280967, 21.845999, 23.117536, 28.562705, 145.297765]]
### 2
mean: [-0.506177, 0.812338, -0.586374, 0.799276, 0.973609]
std: [0.245056, 0.957358, 0.538789, 0.738022, 0.980321]
pca: [[-0.114826, -0.214601, 0.339343, 0.907710, -0.040870, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.468719, 0.857797, 0.031240, 0.124286, -0.167525, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.360102, -0.068522, 0.677439, -0.289424, 0.568280, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.463947, 0.366627, -0.218701, 0.260058, 0.731353, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.649767, 0.281106, 0.614099, -0.096021, -0.335328, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.346384, 4.441138, 4.476293, 4.671945, 45.555893], [15.200306, 15.391229, 16.025503, 16.192554, 73.110392], [9.353951, 9.961560, 10.542069, 10.794642, 52.773695], [11.098462, 13.582770, 14.504255, 14.708759, 71.934856], [15.747453, 16.559553, 18.016943, 19.032762, 87.624857]]
### 4
mean: [-0.451494, -0.025054, -0.006632, 0.547793, 1.229898]
std: [0.301567, 0.359344, 0.525131, 0.323249, 0.729358]
pca: [[0.268624, -0.432095, 0.349094, 0.050051, 0.785343, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.348617, -0.121712, -0.333043, 0.862589, -0.093141, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.483414, 0.617741, 0.275140, 0.427176, 0.355704, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.311772, 0.041216, 0.818840, 0.146586, -0.457289, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.689504, 0.644342, -0.144967, -0.222416, 0.197289, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.106644, 5.256846, 5.476692, 5.777099, 40.634468], [6.085997, 6.165763, 6.575926, 6.650086, 6.757722], [8.777028, 8.940574, 9.294358, 9.945928, 10.252494], [5.439348, 5.585926, 5.850759, 5.860708, 49.301409], [12.168903, 12.318777, 13.482620, 13.826274, 110.690859]]
### 6
mean: [1.119843, -0.614245, -0.613170, 1.363392, 1.475984]
std: [0.665787, 0.212910, 0.360261, 0.801155, 0.842498]
pca: [[0.472982, 0.641832, -0.393948, -0.224233, 0.398578, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.146917, -0.471620, -0.095506, 0.042274, 0.863181, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.253452, 0.501275, 0.758558, 0.116700, 0.308961, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.572235, -0.322506, 0.490923, -0.572293, 0.003533, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.602505, -0.101685, 0.138811, 0.778970, 0.024199, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.153931, 11.516541, 12.464594, 12.497736, 100.785877], [3.502951, 3.512473, 3.700766, 3.875872, 55.282044], [6.358580, 6.505834, 6.654612, 7.314016, 55.185333], [13.716692, 14.019214, 14.870002, 14.876102, 122.705313], [14.369011, 14.704468, 15.712455, 15.740216, 132.838574]]
### 8
mean: [-0.894282, 1.667001, 1.485124, -0.585418, 2.433765]
std: [0.331823, 0.944059, 0.810375, 0.741003, 1.340520]
pca: [[-0.165646, 0.081026, 0.878338, -0.355476, -0.261065, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.471826, 0.349808, -0.312983, -0.520943, -0.534485, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.405040, -0.000972, 0.227551, 0.735484, -0.493179, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.370072, 0.893987, -0.040188, 0.245817, 0.042351, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.670023, 0.268059, 0.277792, -0.029878, 0.633366, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.598362, 6.052987, 6.082397, 6.192420, 80.485332], [15.963478, 16.926448, 17.548498, 17.609891, 150.030069], [13.707957, 14.444663, 15.030826, 15.199814, 133.661116], [12.626109, 13.164694, 13.784961, 13.816231, 52.687579], [22.681336, 23.905418, 24.938075, 25.068173, 219.038840]]
### 10
mean: [-2.624814]
std: [1.722103]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.179293, 31.098499, 31.967645, 32.251383, 236.233233]]
## 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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"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": [[0.43089, 0.371268, 0.20482, -0.28902, -0.17968], [0.309315, 0.120328, -0.359679, -0.490637, -0.232729], [-0.233193, -0.24564, -0.41179, -0.142935, -0.332248], [-0.525765, 0.526493, -0.060249, -0.140172, -0.179789], [0.180549, 0.348427, -0.297998, 0.095777, 0.572162]], "network.0.bias": [-0.209128, -0.085352, 0.225485, 0.565306, 0.466254], "network.2.weight": [[-0.064411, 0.082112, -0.398823, 0.065699, -0.163453], [-0.630937, -0.514291, 0.32099, 0.485554, 0.420307], [-0.370767, 0.196873, 0.03834, 0.230673, -0.107488], [0.394844, 0.022864, -0.383538, -0.159753, 0.302663], [0.598629, 0.480633, 0.18956, -0.164987, 0.288151]], "network.2.bias": [-0.212807, 0.402411, -0.231067, 0.049412, 0.029731], "network.4.weight": [[-0.131475, 0.042582, 0.291834, 0.063585, -0.340621], [0.092684, 0.264288, 0.051569, -0.301597, -0.037714], [0.082252, -0.194348, -0.175667, 0.319517, 0.237027], [0.403643, 0.214359, 0.486008, 0.259219, -0.409039], [0.324687, 0.802913, -0.247896, -0.37145, -0.03677]], "network.4.bias": [-0.210898, 0.0034, -0.309422, 0.536562, 0.8052], "network.6.weight": [[0.241103, -0.042744, -0.033868, 0.297873, 0.81924], [0.312178, -0.085193, -0.119459, -0.187813, -0.262884], [0.317277, 0.257963, 0.425425, 0.111825, -0.390093], [-0.331383, 0.394513, -0.536689, 0.663344, 0.557237], [0.092642, 0.372228, -0.525814, 0.301174, 0.776289]], "network.6.bias": [-0.054515, -0.146601, -0.309518, 0.353807, 0.398638], "network.8.weight": [[0.073799, 0.350939, -0.266984, -0.309952, -0.195442], [0.438395, -0.066346, 0.13723, 0.821889, 0.065077], [0.194225, -0.154956, -0.021735, 0.089247, 0.768272], [-0.079122, -0.349182, 0.46554, -0.600369, -0.27924], [0.554144, 0.108348, -0.039695, 0.668465, 0.600076]], "network.8.bias": [-0.249027, -0.071245, -0.007005, 0.7476, -0.018551], "network.10.weight": [[0.296975, -0.433548, -0.576516, 0.692361, -0.516862]], "network.10.bias": [0.127067]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6961267590522766, "train_acc": 0.58, "val_loss": 0.7471482753753662, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6798676550388336, "train_acc": 0.58, "val_loss": 0.725544273853302, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6756965816020966, "train_acc": 0.58, "val_loss": 0.7098067998886108, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6757936477661133, "train_acc": 0.58, "val_loss": 0.6976202130317688, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6729670464992523, "train_acc": 0.515, "val_loss": 0.6751666069030762, "val_acc": 0.44}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6455684900283813, "train_acc": 0.515, "val_loss": 0.6471304893493652, "val_acc": 0.44}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5993479192256927, "train_acc": 0.64, "val_loss": 0.6060242652893066, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5429686307907104, "train_acc": 0.825, "val_loss": 0.5441584587097168, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4737837314605713, "train_acc": 0.925, "val_loss": 0.4805745780467987, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.39161330461502075, "train_acc": 0.94, "val_loss": 0.41430598497390747, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3367936760187149, "train_acc": 0.95, "val_loss": 0.3414997160434723, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.27728375792503357, "train_acc": 0.95, "val_loss": 0.30608639121055603, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.24226202815771103, "train_acc": 0.935, "val_loss": 0.271524578332901, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.18537040054798126, "train_acc": 0.945, "val_loss": 0.2556801736354828, "val_acc": 0.9}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7471482753753662, "final_val_loss": 0.6976202130317688, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.6751666069030762, "final_val_loss": 0.2556801736354828, "initial_val_acc": 0.44, "final_val_acc": 0.9, "best_val_acc": 0.92, "best_epoch": 10}, "improvement": 0.48000000000000004, "first_improvement_epoch": 3}}
|
9,688
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.52, "improved_accuracy": 0.84, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6072, "learning_rate": 0.04551931705129854, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.10.bias": [
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}
## Activation Signature
### 0
mean: [-1.117412, 0.688333, 0.280589, 0.893385, -2.171391]
std: [1.478022, 1.018003, 1.839958, 1.952134, 2.495893]
pca: [[0.008961, -0.611765, -0.357900, -0.496328, 0.501228, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.138092, -0.027791, 0.656050, 0.259939, 0.694398, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.182911, 0.776445, -0.253692, -0.392373, 0.381261, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.572444, -0.072369, -0.523761, 0.608389, 0.150358, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.787211, 0.129873, -0.320657, 0.402487, 0.314030, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.692264, 23.483133, 24.250904, 25.368795, 100.567048], [16.435795, 17.355211, 18.408001, 22.152250, 61.949978], [27.188148, 27.643932, 27.944318, 29.133151, 33.004195], [32.963730, 34.493646, 38.217114, 44.287122, 80.404616], [41.754974, 46.339869, 50.251353, 50.793914, 195.425176]]
### 2
mean: [0.729664, 1.296558, -0.181212, 0.140767, 1.350772]
std: [1.279704, 1.545106, 0.535605, 0.923537, 1.540598]
pca: [[0.445439, 0.666327, 0.572731, 0.171808, -0.007302, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.586864, -0.193445, -0.195279, -0.088174, 0.756479, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.176482, 0.255995, -0.408802, 0.835742, 0.194258, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.292924, 0.665967, -0.390392, -0.511919, 0.237100, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.583287, 0.097678, -0.560643, -0.046707, -0.577696, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.210258, 21.523754, 26.146866, 28.686806, 65.669778], [23.012272, 24.769227, 31.150254, 35.135765, 116.690170], [7.469955, 8.851536, 9.813120, 10.863523, 16.309081], [13.573297, 13.883557, 14.265165, 14.806403, 18.673782], [25.886594, 27.221404, 32.601316, 33.736173, 121.569478]]
### 4
mean: [1.463425, -0.605390, 1.910872, 0.223069, 1.936757]
std: [1.642956, 0.570226, 2.421497, 0.593983, 2.628737]
pca: [[0.403766, 0.911991, -0.034313, -0.062340, 0.013491, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.141655, 0.121554, -0.137719, 0.964274, 0.127933, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.604116, -0.297346, -0.585743, -0.017239, 0.450817, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.146862, 0.065182, 0.479223, -0.075388, 0.859561, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.656035, -0.246645, 0.638049, 0.245577, -0.203395, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.927283, 29.408017, 34.337865, 36.440000, 131.708268], [8.909484, 9.685254, 11.739316, 13.600813, 54.485077], [38.236804, 39.187892, 51.030056, 56.749313, 171.978515], [9.052292, 9.927967, 12.356953, 13.658059, 20.076174], [41.802405, 43.056099, 56.568202, 62.073678, 174.308096]]
### 6
mean: [2.013962, 2.728352, 3.100849, 0.876326, 1.867459]
std: [3.175975, 4.132934, 3.214678, 1.920392, 3.207574]
pca: [[0.442561, -0.543909, -0.303686, -0.343477, -0.545986, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.576238, -0.251596, 0.174513, 0.741966, 0.153886, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.447746, 0.716742, -0.527290, 0.036013, -0.080453, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.267692, -0.222917, -0.227619, -0.399381, 0.816905, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.447163, 0.278302, 0.739915, -0.413168, -0.066417, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.753808, 53.324984, 67.415343, 73.478730, 181.256549], [64.755334, 69.617323, 87.096731, 95.664149, 245.551647], [50.243722, 55.490749, 67.242220, 74.008058, 279.076368], [30.105890, 32.402293, 40.727836, 44.417251, 78.869355], [50.494210, 54.250309, 67.106162, 74.213097, 168.071312]]
### 8
mean: [-1.550766, 5.479389, -0.470003, 5.828370, -0.641153]
std: [3.947424, 8.146070, 1.676174, 8.633995, 2.483572]
pca: [[-0.306790, 0.499945, -0.518580, 0.610106, -0.121569, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.633364, 0.289246, 0.345005, 0.460261, 0.429323, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.129990, 0.515090, -0.215715, -0.549761, 0.607466, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.671312, 0.225306, -0.426352, -0.303857, -0.473785, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.192802, 0.591871, 0.619465, -0.146166, -0.455428, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[61.031732, 66.772711, 78.819112, 93.341831, 139.568972], [126.401187, 139.090657, 167.314695, 189.958652, 493.145005], [25.757660, 27.972434, 32.420404, 40.148422, 42.300301], [134.031047, 147.139074, 177.079415, 201.461041, 524.553267], [38.320402, 41.444973, 48.705004, 57.703775, 59.152194]]
### 10
mean: [-7.420738]
std: [12.460833]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[193.657382, 213.423246, 259.532908, 288.072706, 667.866447]]
## 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.474824,
0.005057,
-0.254622,
-0.430726,
-0.313658
],
[
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0.457124,
0.229699,
-0.13051
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## Activation Signature
### 0
mean: [-1.117412, 0.688333, 0.280589, 0.893385, -2.171391]
std: [1.478022, 1.018003, 1.839958, 1.952134, 2.495893]
pca: [[0.008961, -0.611765, -0.357900, -0.496328, 0.501228, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.138092, -0.027791, 0.656050, 0.259939, 0.694398, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.182911, 0.776445, -0.253692, -0.392373, 0.381261, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.572444, -0.072369, -0.523761, 0.608389, 0.150358, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.787211, 0.129873, -0.320657, 0.402487, 0.314030, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.692264, 23.483133, 24.250904, 25.368795, 100.567048], [16.435795, 17.355211, 18.408001, 22.152250, 61.949978], [27.188148, 27.643932, 27.944318, 29.133151, 33.004195], [32.963730, 34.493646, 38.217114, 44.287122, 80.404616], [41.754974, 46.339869, 50.251353, 50.793914, 195.425176]]
### 2
mean: [0.729664, 1.296558, -0.181212, 0.140767, 1.350772]
std: [1.279704, 1.545106, 0.535605, 0.923537, 1.540598]
pca: [[0.445439, 0.666327, 0.572731, 0.171808, -0.007302, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.586864, -0.193445, -0.195279, -0.088174, 0.756479, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.176482, 0.255995, -0.408802, 0.835742, 0.194258, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.292924, 0.665967, -0.390392, -0.511919, 0.237100, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.583287, 0.097678, -0.560643, -0.046707, -0.577696, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.210258, 21.523754, 26.146866, 28.686806, 65.669778], [23.012272, 24.769227, 31.150254, 35.135765, 116.690170], [7.469955, 8.851536, 9.813120, 10.863523, 16.309081], [13.573297, 13.883557, 14.265165, 14.806403, 18.673782], [25.886594, 27.221404, 32.601316, 33.736173, 121.569478]]
### 4
mean: [1.463425, -0.605390, 1.910872, 0.223069, 1.936757]
std: [1.642956, 0.570226, 2.421497, 0.593983, 2.628737]
pca: [[0.403766, 0.911991, -0.034313, -0.062340, 0.013491, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.141655, 0.121554, -0.137719, 0.964274, 0.127933, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.604116, -0.297346, -0.585743, -0.017239, 0.450817, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.146862, 0.065182, 0.479223, -0.075388, 0.859561, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.656035, -0.246645, 0.638049, 0.245577, -0.203395, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.927283, 29.408017, 34.337865, 36.440000, 131.708268], [8.909484, 9.685254, 11.739316, 13.600813, 54.485077], [38.236804, 39.187892, 51.030056, 56.749313, 171.978515], [9.052292, 9.927967, 12.356953, 13.658059, 20.076174], [41.802405, 43.056099, 56.568202, 62.073678, 174.308096]]
### 6
mean: [2.013962, 2.728352, 3.100849, 0.876326, 1.867459]
std: [3.175975, 4.132934, 3.214678, 1.920392, 3.207574]
pca: [[0.442561, -0.543909, -0.303686, -0.343477, -0.545986, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.576238, -0.251596, 0.174513, 0.741966, 0.153886, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.447746, 0.716742, -0.527290, 0.036013, -0.080453, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.267692, -0.222917, -0.227619, -0.399381, 0.816905, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.447163, 0.278302, 0.739915, -0.413168, -0.066417, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.753808, 53.324984, 67.415343, 73.478730, 181.256549], [64.755334, 69.617323, 87.096731, 95.664149, 245.551647], [50.243722, 55.490749, 67.242220, 74.008058, 279.076368], [30.105890, 32.402293, 40.727836, 44.417251, 78.869355], [50.494210, 54.250309, 67.106162, 74.213097, 168.071312]]
### 8
mean: [-1.550766, 5.479389, -0.470003, 5.828370, -0.641153]
std: [3.947424, 8.146070, 1.676174, 8.633995, 2.483572]
pca: [[-0.306790, 0.499945, -0.518580, 0.610106, -0.121569, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.633364, 0.289246, 0.345005, 0.460261, 0.429323, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.129990, 0.515090, -0.215715, -0.549761, 0.607466, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.671312, 0.225306, -0.426352, -0.303857, -0.473785, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.192802, 0.591871, 0.619465, -0.146166, -0.455428, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[61.031732, 66.772711, 78.819112, 93.341831, 139.568972], [126.401187, 139.090657, 167.314695, 189.958652, 493.145005], [25.757660, 27.972434, 32.420404, 40.148422, 42.300301], [134.031047, 147.139074, 177.079415, 201.461041, 524.553267], [38.320402, 41.444973, 48.705004, 57.703775, 59.152194]]
### 10
mean: [-7.420738]
std: [12.460833]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[193.657382, 213.423246, 259.532908, 288.072706, 667.866447]]
## 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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[134.03104722085888, 147.1390740815728, 177.07941451290773, 201.46104059295814, 524.5532667189837]}, "4": {"mean": -0.6411530375480652, "std": 2.483572244644165, "pca": [-0.1928023248910904, 0.5918709635734558, 0.6194649934768677, -0.14616559445858002, -0.45542818307876587, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [38.32040165167229, 41.44497255214726, 48.70500439714635, 57.70377516746521, 59.15219358977779]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -7.4207377433776855, "std": 12.460832595825195, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [193.65738153277232, 213.4232458571013, 259.5329076450877, 288.0727064953281, 667.8664466440678]}}, "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": [[0.474824, 0.005057, -0.254622, -0.430726, -0.313658], [0.174563, -0.337763, 0.457124, 0.229699, -0.13051], [-0.612474, -0.114821, 0.098889, -0.014928, 0.826652], [0.634505, -0.192491, -0.185201, -0.040581, 0.765788], [-0.52099, 0.055363, -0.565732, 0.301898, -0.743737]], "network.0.bias": [0.124871, -0.199916, 0.057915, -0.016043, -0.17231], "network.2.weight": [[0.32443, 0.048204, 0.083715, 0.693965, 0.487106], [0.202041, -0.121175, 0.735877, 0.49761, 0.355104], [-0.03711, 0.125878, -0.27909, -0.123104, -0.723432], [-0.24204, 0.448622, -0.557568, -0.126829, -0.423357], [0.552839, 0.145841, 0.714262, 0.474011, 0.220045]], "network.2.bias": [-0.20997, 0.262143, 0.108354, 0.401068, 0.139148], "network.4.weight": [[0.57293, 0.265636, -0.367293, 0.370126, 0.396132], [-0.158257, -0.279555, -0.562934, 0.346085, 0.048037], [0.282538, 0.814387, -0.331067, -0.520334, 0.438976], [0.038555, -0.101546, -0.078665, 0.132923, -0.290217], [0.629072, 0.720844, -0.35437, -0.850241, 0.360127]], "network.4.bias": [0.087553, -0.303956, 0.299775, 0.650067, 0.380272], "network.6.weight": [[-0.033004, -0.408402, 0.629216, -0.918504, 0.572784], [0.135942, -0.235218, 0.677205, -0.731443, 0.807731], [0.683964, 0.055281, 0.29882, -0.235799, 0.500065], [0.050417, -0.295437, 0.353788, -0.487762, 0.332513], [0.310319, -0.283025, 0.293042, -0.063629, 0.759605]], "network.6.bias": [-0.05677, -0.155981, 0.679381, -0.417785, -0.614701], "network.8.weight": [[-0.51738, -0.201659, 0.279715, -0.738949, -0.372019], [0.607153, 0.563437, 0.589667, 0.523919, 0.371416], [-0.261919, -0.162309, 0.422763, -0.511479, -0.223366], [0.404616, 0.925446, 0.381359, 0.33118, 0.589008], [-0.310983, -0.368283, 0.633467, -0.241714, -0.544773]], "network.8.bias": [0.810314, -0.49166, 0.264921, -0.349138, 0.513975], "network.10.weight": [[0.731546, -0.948367, 0.211979, -0.495703, 0.700754]], "network.10.bias": [0.042752]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6828425824642181, "train_acc": 0.57, "val_loss": 0.6919228434562683, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6716280579566956, "train_acc": 0.57, "val_loss": 0.6600148677825928, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6386524140834808, "train_acc": 0.57, "val_loss": 0.5639843940734863, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5596937537193298, "train_acc": 0.57, "val_loss": 0.49606776237487793, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.45694470405578613, "train_acc": 0.795, "val_loss": 0.44552281498908997, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4117918014526367, "train_acc": 0.815, "val_loss": 0.44231194257736206, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3723088800907135, "train_acc": 0.835, "val_loss": 0.49057087302207947, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.36049409210681915, "train_acc": 0.84, "val_loss": 0.38478603959083557, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.36126701533794403, "train_acc": 0.855, "val_loss": 0.41038745641708374, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3001496493816376, "train_acc": 0.875, "val_loss": 0.3778359293937683, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.26555317640304565, "train_acc": 0.9, "val_loss": 0.49780312180519104, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.30337925255298615, "train_acc": 0.885, "val_loss": 0.38328924775123596, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.27272096276283264, "train_acc": 0.89, "val_loss": 0.3600809574127197, "val_acc": 0.82}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6919228434562683, "final_val_loss": 0.5639843940734863, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.49606776237487793, "final_val_loss": 0.3600809574127197, "initial_val_acc": 0.78, "final_val_acc": 0.82, "best_val_acc": 0.84, "best_epoch": 8}, "improvement": 0.31999999999999995, "first_improvement_epoch": 2}}
|
9,689
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.64, "improved_accuracy": 0.92, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2468, "learning_rate": 0.057290592821216346, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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-1.086854
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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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[
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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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[
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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: [0.382871, 3.024082, -0.186615, -0.616539, 2.500212, -1.638293]
std: [1.564786, 2.875965, 2.143731, 1.206175, 2.307532, 1.390655]
pca: [[-0.281290, 0.502598, 0.033180, -0.281982, -0.107987, 0.758943, 0.000000, 0.000000, 0.000000, 0.000000], [0.657043, 0.401556, -0.454066, -0.368032, 0.232702, -0.106181, 0.000000, 0.000000, 0.000000, 0.000000], [-0.416357, 0.616555, 0.244338, -0.113427, 0.137113, -0.595936, 0.000000, 0.000000, 0.000000, 0.000000], [-0.181860, 0.159766, -0.359050, 0.635134, 0.617591, 0.166347, 0.000000, 0.000000, 0.000000, 0.000000], [0.485868, 0.161341, 0.766224, 0.223974, 0.272883, 0.161780, 0.000000, 0.000000, 0.000000, 0.000000], [-0.216049, -0.393003, 0.130408, -0.564459, 0.677867, 0.061213, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.185781, 24.995794, 25.570655, 28.990510, 34.458366], [51.762245, 54.175159, 58.610814, 58.739484, 272.167376], [32.270132, 32.873665, 33.265382, 37.548075, 43.087446], [18.360922, 22.064060, 22.523504, 22.798305, 55.488491], [32.355223, 41.739138, 42.058806, 46.432625, 225.019086], [20.298154, 21.893101, 24.666909, 32.371260, 147.446374]]
### 2
mean: [-0.218733, 1.764718, -1.146045, 1.542498, -0.713707, -1.564072]
std: [1.229533, 2.521616, 1.348618, 2.144224, 0.661626, 1.342176]
pca: [[-0.279726, -0.390834, -0.226579, 0.445046, 0.343117, 0.633932, 0.000000, 0.000000, 0.000000, 0.000000], [0.685093, -0.024085, -0.328318, 0.384475, 0.412430, -0.323041, 0.000000, 0.000000, 0.000000, 0.000000], [-0.203994, 0.656262, -0.473463, -0.325773, 0.419232, 0.147158, 0.000000, 0.000000, 0.000000, 0.000000], [0.567758, 0.295063, 0.012980, -0.000899, -0.401608, 0.655081, 0.000000, 0.000000, 0.000000, 0.000000], [0.018262, 0.357932, 0.771394, 0.228231, 0.464548, 0.092777, 0.000000, 0.000000, 0.000000, 0.000000], [-0.296825, 0.448119, -0.146575, 0.704199, -0.399152, -0.185421, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.375493, 19.685927, 23.142561, 24.102356, 25.881633], [38.406656, 40.207056, 49.086523, 58.026681, 158.824661], [20.046542, 22.175058, 23.083544, 26.332919, 103.144058], [34.730159, 37.563839, 42.066850, 47.790475, 138.824849], [9.905269, 10.171460, 10.611831, 10.982213, 64.233666], [18.923550, 25.207836, 25.220327, 28.815429, 140.766446]]
### 4
mean: [2.235536, 2.120572, -0.013549, 1.090572, -0.311338, 1.516355]
std: [3.213027, 2.906819, 0.624740, 1.073950, 0.627068, 2.047965]
pca: [[0.646286, -0.121062, 0.214569, -0.331830, 0.501947, -0.399444, 0.000000, 0.000000, 0.000000, 0.000000], [0.583414, 0.450843, -0.533510, -0.132176, -0.300434, 0.252991, 0.000000, 0.000000, 0.000000, 0.000000], [-0.116594, 0.534939, -0.079266, 0.375250, 0.717353, 0.196353, 0.000000, 0.000000, 0.000000, 0.000000], [0.213780, -0.355236, 0.278113, -0.084114, 0.141535, 0.850677, 0.000000, 0.000000, 0.000000, 0.000000], [-0.114113, 0.605568, 0.634424, -0.416131, -0.200509, 0.066358, 0.000000, 0.000000, 0.000000, 0.000000], [0.411854, 0.054944, 0.428023, 0.742540, -0.288023, -0.099149, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.487151, 52.753178, 62.755339, 74.906079, 201.198200], [44.643826, 47.016436, 55.801169, 68.006224, 190.851477], [8.210520, 9.436127, 12.440165, 13.245316, 13.399130], [17.078509, 19.638890, 21.476019, 24.627181, 98.151456], [9.293600, 12.879329, 12.921551, 13.289437, 28.020376], [32.558084, 33.061484, 40.064907, 47.884914, 136.471992]]
### 6
mean: [-0.681936, 4.004220, -1.481611, 4.331095, -0.765948, -1.832067]
std: [1.470872, 5.267051, 2.027807, 5.764989, 1.850439, 2.030197]
pca: [[-0.169951, -0.196667, 0.217735, 0.267947, 0.688405, -0.582523, 0.000000, 0.000000, 0.000000, 0.000000], [0.610094, 0.128154, 0.711646, -0.298712, 0.116777, 0.045339, 0.000000, 0.000000, 0.000000, 0.000000], [-0.234014, -0.328041, 0.450003, 0.127613, -0.679257, -0.396798, 0.000000, 0.000000, 0.000000, 0.000000], [0.667849, -0.064430, -0.246496, 0.667317, -0.154567, -0.140940, 0.000000, 0.000000, 0.000000, 0.000000], [-0.213741, -0.257963, 0.374948, 0.505101, 0.139982, 0.687359, 0.000000, 0.000000, 0.000000, 0.000000], [-0.228980, 0.875552, 0.205677, 0.349645, -0.087090, -0.094006, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.925815, 25.212282, 28.990693, 34.170212, 61.374210], [85.365181, 86.061850, 102.513105, 123.407459, 360.379772], [32.646611, 35.248915, 40.142918, 47.122751, 133.345041], [92.148347, 93.218890, 111.785144, 135.693073, 389.798564], [29.852997, 31.808237, 36.526930, 42.988211, 68.935349], [30.261728, 30.978483, 36.510118, 48.065375, 164.886076]]
### 8
mean: [-5.492417]
std: [7.835762]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[125.233696, 128.102920, 153.100113, 183.005306, 494.317546]]
## 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.362953,
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[
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1.099481
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[
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0.329485,
0.165801,
-1.086854
],
[
0.293903,
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0.243508,
0.15933,
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],
[
-0.361796,
0.241163,
0.386096,
0.335874,
0.971113
],
[
0.042521,
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0.164632,
-0.253775
]
],
"network.0.bias": [
0.261992,
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-0.30879,
-0.300047,
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],
"network.2.weight": [
[
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],
[
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0.467353,
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[
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],
[
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],
[
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],
[
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0.685462,
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]
],
"network.2.bias": [
-0.11856,
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0.213363,
0.550182,
0.052609,
-0.143551
],
"network.4.weight": [
[
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0.5032,
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0.235132,
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],
[
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0.434677,
0.391559,
0.068272
],
[
0.263816,
0.002701,
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-0.281921
],
[
-0.220368,
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0.492126,
0.298159,
0.022787,
0.074791
],
[
0.372029,
0.057221,
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0.215228,
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],
[
-0.215021,
0.646768,
0.363384,
0.194743,
0.231543,
-0.267162
]
],
"network.4.bias": [
-0.048104,
0.078941,
0.262545,
0.380424,
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0.098921
],
"network.6.weight": [
[
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[
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[
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[
0.718706,
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[
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[
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]
],
"network.6.bias": [
0.296917,
0.207808,
0.061487,
0.010608,
0.515736,
-0.199265
],
"network.8.weight": [
[
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0.255604,
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],
"network.8.bias": [
0.242169
]
}
## Activation Signature
### 0
mean: [0.382871, 3.024082, -0.186615, -0.616539, 2.500212, -1.638293]
std: [1.564786, 2.875965, 2.143731, 1.206175, 2.307532, 1.390655]
pca: [[-0.281290, 0.502598, 0.033180, -0.281982, -0.107987, 0.758943, 0.000000, 0.000000, 0.000000, 0.000000], [0.657043, 0.401556, -0.454066, -0.368032, 0.232702, -0.106181, 0.000000, 0.000000, 0.000000, 0.000000], [-0.416357, 0.616555, 0.244338, -0.113427, 0.137113, -0.595936, 0.000000, 0.000000, 0.000000, 0.000000], [-0.181860, 0.159766, -0.359050, 0.635134, 0.617591, 0.166347, 0.000000, 0.000000, 0.000000, 0.000000], [0.485868, 0.161341, 0.766224, 0.223974, 0.272883, 0.161780, 0.000000, 0.000000, 0.000000, 0.000000], [-0.216049, -0.393003, 0.130408, -0.564459, 0.677867, 0.061213, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.185781, 24.995794, 25.570655, 28.990510, 34.458366], [51.762245, 54.175159, 58.610814, 58.739484, 272.167376], [32.270132, 32.873665, 33.265382, 37.548075, 43.087446], [18.360922, 22.064060, 22.523504, 22.798305, 55.488491], [32.355223, 41.739138, 42.058806, 46.432625, 225.019086], [20.298154, 21.893101, 24.666909, 32.371260, 147.446374]]
### 2
mean: [-0.218733, 1.764718, -1.146045, 1.542498, -0.713707, -1.564072]
std: [1.229533, 2.521616, 1.348618, 2.144224, 0.661626, 1.342176]
pca: [[-0.279726, -0.390834, -0.226579, 0.445046, 0.343117, 0.633932, 0.000000, 0.000000, 0.000000, 0.000000], [0.685093, -0.024085, -0.328318, 0.384475, 0.412430, -0.323041, 0.000000, 0.000000, 0.000000, 0.000000], [-0.203994, 0.656262, -0.473463, -0.325773, 0.419232, 0.147158, 0.000000, 0.000000, 0.000000, 0.000000], [0.567758, 0.295063, 0.012980, -0.000899, -0.401608, 0.655081, 0.000000, 0.000000, 0.000000, 0.000000], [0.018262, 0.357932, 0.771394, 0.228231, 0.464548, 0.092777, 0.000000, 0.000000, 0.000000, 0.000000], [-0.296825, 0.448119, -0.146575, 0.704199, -0.399152, -0.185421, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.375493, 19.685927, 23.142561, 24.102356, 25.881633], [38.406656, 40.207056, 49.086523, 58.026681, 158.824661], [20.046542, 22.175058, 23.083544, 26.332919, 103.144058], [34.730159, 37.563839, 42.066850, 47.790475, 138.824849], [9.905269, 10.171460, 10.611831, 10.982213, 64.233666], [18.923550, 25.207836, 25.220327, 28.815429, 140.766446]]
### 4
mean: [2.235536, 2.120572, -0.013549, 1.090572, -0.311338, 1.516355]
std: [3.213027, 2.906819, 0.624740, 1.073950, 0.627068, 2.047965]
pca: [[0.646286, -0.121062, 0.214569, -0.331830, 0.501947, -0.399444, 0.000000, 0.000000, 0.000000, 0.000000], [0.583414, 0.450843, -0.533510, -0.132176, -0.300434, 0.252991, 0.000000, 0.000000, 0.000000, 0.000000], [-0.116594, 0.534939, -0.079266, 0.375250, 0.717353, 0.196353, 0.000000, 0.000000, 0.000000, 0.000000], [0.213780, -0.355236, 0.278113, -0.084114, 0.141535, 0.850677, 0.000000, 0.000000, 0.000000, 0.000000], [-0.114113, 0.605568, 0.634424, -0.416131, -0.200509, 0.066358, 0.000000, 0.000000, 0.000000, 0.000000], [0.411854, 0.054944, 0.428023, 0.742540, -0.288023, -0.099149, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.487151, 52.753178, 62.755339, 74.906079, 201.198200], [44.643826, 47.016436, 55.801169, 68.006224, 190.851477], [8.210520, 9.436127, 12.440165, 13.245316, 13.399130], [17.078509, 19.638890, 21.476019, 24.627181, 98.151456], [9.293600, 12.879329, 12.921551, 13.289437, 28.020376], [32.558084, 33.061484, 40.064907, 47.884914, 136.471992]]
### 6
mean: [-0.681936, 4.004220, -1.481611, 4.331095, -0.765948, -1.832067]
std: [1.470872, 5.267051, 2.027807, 5.764989, 1.850439, 2.030197]
pca: [[-0.169951, -0.196667, 0.217735, 0.267947, 0.688405, -0.582523, 0.000000, 0.000000, 0.000000, 0.000000], [0.610094, 0.128154, 0.711646, -0.298712, 0.116777, 0.045339, 0.000000, 0.000000, 0.000000, 0.000000], [-0.234014, -0.328041, 0.450003, 0.127613, -0.679257, -0.396798, 0.000000, 0.000000, 0.000000, 0.000000], [0.667849, -0.064430, -0.246496, 0.667317, -0.154567, -0.140940, 0.000000, 0.000000, 0.000000, 0.000000], [-0.213741, -0.257963, 0.374948, 0.505101, 0.139982, 0.687359, 0.000000, 0.000000, 0.000000, 0.000000], [-0.228980, 0.875552, 0.205677, 0.349645, -0.087090, -0.094006, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.925815, 25.212282, 28.990693, 34.170212, 61.374210], [85.365181, 86.061850, 102.513105, 123.407459, 360.379772], [32.646611, 35.248915, 40.142918, 47.122751, 133.345041], [92.148347, 93.218890, 111.785144, 135.693073, 389.798564], [29.852997, 31.808237, 36.526930, 42.988211, 68.935349], [30.261728, 30.978483, 36.510118, 48.065375, 164.886076]]
### 8
mean: [-5.492417]
std: [7.835762]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[125.233696, 128.102920, 153.100113, 183.005306, 494.317546]]
## 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": 0.38287073373794556, "std": 1.5647859573364258, "pca": [-0.2812904119491577, 0.502598226070404, 0.03317965567111969, -0.2819823622703552, -0.10798747837543488, 0.7589430212974548, 0.0, 0.0, 0.0, 0.0], "fourier": [24.185780876161598, 24.99579422109267, 25.570655117593027, 28.990509668993038, 34.45836561918259]}, "1": {"mean": 3.0240817070007324, "std": 2.875965118408203, "pca": [0.6570428013801575, 0.40155598521232605, -0.45406588912010193, -0.3680315315723419, 0.2327018678188324, -0.10618089139461517, 0.0, 0.0, 0.0, 0.0], "fourier": [51.762244774878226, 54.17515930328582, 58.61081354265903, 58.73948367721105, 272.16737638413906]}, "2": {"mean": -0.1866152435541153, "std": 2.143731117248535, "pca": [-0.4163565933704376, 0.6165550351142883, 0.24433834850788116, -0.11342736333608627, 0.13711346685886383, -0.5959362387657166, 0.0, 0.0, 0.0, 0.0], "fourier": [32.27013184431273, 32.87366530981477, 33.26538200908038, 37.54807482940185, 43.087446125596074]}, "3": {"mean": -0.6165387630462646, "std": 1.2061750888824463, "pca": [-0.18186016380786896, 0.15976621210575104, -0.3590497076511383, 0.6351335048675537, 0.6175912618637085, 0.16634713113307953, 0.0, 0.0, 0.0, 0.0], "fourier": [18.36092171671189, 22.064060210282786, 22.523503806271513, 22.798304676445138, 55.48849084973335]}, "4": {"mean": 2.5002121925354004, "std": 2.3075318336486816, "pca": [0.48586753010749817, 0.1613411009311676, 0.7662239670753479, 0.22397424280643463, 0.2728833854198456, 0.16178007423877716, 0.0, 0.0, 0.0, 0.0], "fourier": [32.35522280641394, 41.73913819338421, 42.05880635859839, 46.43262455871383, 225.01908619701862]}, "5": {"mean": -1.638292908668518, "std": 1.3906550407409668, "pca": [-0.21604928374290466, -0.3930032253265381, 0.13040763139724731, -0.564458966255188, 0.6778672933578491, 0.0612126849591732, 0.0, 0.0, 0.0, 0.0], "fourier": [20.29815373984711, 21.893100938701096, 24.666908553913387, 32.37125961611824, 147.4463742673397]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": -0.21873252093791962, "std": 1.229533314704895, "pca": [-0.279725581407547, -0.39083385467529297, -0.22657902538776398, 0.4450455605983734, 0.34311729669570923, 0.6339316964149475, 0.0, 0.0, 0.0, 0.0], "fourier": [19.375493199715425, 19.68592680990696, 23.14256137584695, 24.102356409850582, 25.881633233913927]}, "1": {"mean": 1.7647184133529663, "std": 2.521615505218506, "pca": [0.685093104839325, -0.024084901437163353, -0.3283175230026245, 0.3844746947288513, 0.41243040561676025, -0.3230407238006592, 0.0, 0.0, 0.0, 0.0], "fourier": [38.40665592282108, 40.20705612684483, 49.08652259954444, 58.026680576398896, 158.8246607258916]}, "2": {"mean": -1.1460450887680054, "std": 1.3486179113388062, "pca": [-0.20399430394172668, 0.6562620997428894, -0.47346314787864685, -0.32577264308929443, 0.4192323684692383, 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"pca": [0.4118542969226837, 0.05494397506117821, 0.428023099899292, 0.7425400614738464, -0.2880227267742157, -0.09914940595626831, 0.0, 0.0, 0.0, 0.0], "fourier": [32.55808441659372, 33.06148393212743, 40.0649069233201, 47.88491392715005, 136.47199249640107]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "6": {"neuron_profiles": {"0": {"mean": -0.681935727596283, "std": 1.470872402191162, "pca": [-0.16995131969451904, -0.19666746258735657, 0.2177349478006363, 0.26794683933258057, 0.6884053349494934, -0.5825225710868835, 0.0, 0.0, 0.0, 0.0], "fourier": [23.925815432090435, 25.21228183700096, 28.990693087423942, 34.17021235502697, 61.37421025335789]}, "1": {"mean": 4.004220008850098, "std": 5.2670512199401855, "pca": [0.6100943088531494, 0.12815427780151367, 0.7116458415985107, -0.29871222376823425, 0.11677742004394531, 0.04533945024013519, 0.0, 0.0, 0.0, 0.0], "fourier": [85.36518147374103, 86.06185041145737, 102.51310516201325, 123.40745916107282, 360.3797718286514]}, "2": {"mean": -1.4816114902496338, "std": 2.0278074741363525, "pca": [-0.23401394486427307, -0.3280406594276428, 0.4500027894973755, 0.12761344015598297, -0.6792574524879456, -0.39679765701293945, 0.0, 0.0, 0.0, 0.0], "fourier": [32.64661102611622, 35.248915139571494, 40.14291796441241, 47.12275053945334, 133.34504057839513]}, "3": {"mean": 4.331095218658447, "std": 5.764989376068115, "pca": [0.6678486466407776, -0.06443008035421371, -0.24649614095687866, 0.6673166155815125, -0.1545671671628952, -0.14094004034996033, 0.0, 0.0, 0.0, 0.0], "fourier": [92.1483465592251, 93.21889047611373, 111.78514370993305, 135.69307324722075, 389.7985635884106]}, "4": {"mean": -0.7659482955932617, "std": 1.8504388332366943, "pca": [-0.21374119818210602, -0.25796279311180115, 0.37494775652885437, 0.5051010251045227, 0.13998162746429443, 0.6873588562011719, 0.0, 0.0, 0.0, 0.0], "fourier": [29.852996678852907, 31.80823679953557, 36.5269301185442, 42.988210680912275, 68.93534889817238]}, "5": {"mean": -1.8320673704147339, "std": 2.0301969051361084, "pca": [-0.22897997498512268, 0.8755521774291992, 0.20567700266838074, 0.34964519739151, -0.08708950132131577, -0.09400606155395508, 0.0, 0.0, 0.0, 0.0], "fourier": [30.26172805146193, 30.97848266021553, 36.51011848858471, 48.06537522911859, 164.88607585430145]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -5.492417335510254, "std": 7.835761547088623, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [125.23369551636719, 128.10292045274443, 153.10011266110183, 183.00530596005785, 494.3175460398197]}}, "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": [[-0.044677, 0.362953, 0.221875, -0.00636, -0.757896], [0.516469, 0.327537, 0.348548, -0.119741, 1.099481], [-0.16073, 0.339607, 0.329485, 0.165801, -1.086854], [0.293903, -0.445054, 0.243508, 0.15933, -0.585069], [-0.361796, 0.241163, 0.386096, 0.335874, 0.971113], [0.042521, -0.053591, -0.620763, 0.164632, -0.253775]], "network.0.bias": [0.261992, -0.042806, -0.30879, -0.300047, -0.213484, -0.336903], "network.2.weight": [[0.278476, -0.33722, 0.470904, 0.712034, 0.142962, 0.316463], [-0.297956, 0.467083, -0.676536, -0.107121, 0.467353, -0.145749], [0.218626, 0.159158, -0.422112, 0.041722, -0.685944, 0.147002], [-0.527004, 0.512691, -0.592499, -0.531633, 0.105098, -0.098189], [-0.368754, 0.070189, -0.204595, -0.265306, -0.223552, -0.177458], [-0.08226, -0.023575, -0.00397, 0.685462, -0.547278, -0.476866]], "network.2.bias": [-0.11856, -0.156349, 0.213363, 0.550182, 0.052609, -0.143551], "network.4.weight": [[-0.335258, 0.71936, 0.5032, 0.665064, 0.235132, -0.265582], [-0.167362, 0.798667, -0.335557, 0.434677, 0.391559, 0.068272], [0.263816, 0.002701, -0.435444, -0.248966, -0.473437, -0.281921], [-0.220368, 0.157467, 0.492126, 0.298159, 0.022787, 0.074791], [0.372029, 0.057221, -0.429163, -0.28807, 0.215228, -0.058576], [-0.215021, 0.646768, 0.363384, 0.194743, 0.231543, -0.267162]], "network.4.bias": [-0.048104, 0.078941, 0.262545, 0.380424, -0.023237, 0.098921], "network.6.weight": [[-0.531873, 0.136624, 0.513077, -0.110072, 0.003024, 0.011592], [0.623125, 0.64355, -0.810639, 0.604749, -0.278579, 0.303596], [-0.552517, 0.12787, 0.291946, -0.659658, 0.29329, 0.070185], [0.718706, 0.344841, -0.424338, 0.633345, -0.02183, 0.867703], [-0.755024, 0.157744, 0.487075, -0.228662, 0.134234, 0.206701], [-0.064257, -0.869742, -0.54993, 0.292696, -0.802359, 0.098218]], "network.6.bias": [0.296917, 0.207808, 0.061487, 0.010608, 0.515736, -0.199265], "network.8.weight": [[0.40084, -0.803092, 0.255604, -0.608069, 0.379626, -0.620796]], "network.8.bias": [0.242169]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7046933472156525, "train_acc": 0.455, "val_loss": 0.6632524728775024, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6523157060146332, "train_acc": 0.57, "val_loss": 0.59136563539505, "val_acc": 0.64}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5403579622507095, "train_acc": 0.66, "val_loss": 0.39439523220062256, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.38871805369853973, "train_acc": 0.855, "val_loss": 0.28085917234420776, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3922705203294754, "train_acc": 0.875, "val_loss": 0.3141120672225952, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.32410743832588196, "train_acc": 0.87, "val_loss": 0.2659931182861328, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.30885710567235947, "train_acc": 0.88, "val_loss": 0.2549232244491577, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2787599340081215, "train_acc": 0.89, "val_loss": 0.26761358976364136, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2888019382953644, "train_acc": 0.89, "val_loss": 0.24778896570205688, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2742879092693329, "train_acc": 0.89, "val_loss": 0.23523330688476562, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2635020762681961, "train_acc": 0.89, "val_loss": 0.23169569671154022, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.2877555638551712, "train_acc": 0.9, "val_loss": 0.2394757866859436, "val_acc": 0.9}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6632524728775024, "final_val_loss": 0.59136563539505, "initial_val_acc": 0.5, "final_val_acc": 0.64, "best_val_acc": 0.64}, "improved_stage": {"initial_val_loss": 0.39439523220062256, "final_val_loss": 0.2394757866859436, "initial_val_acc": 0.9, "final_val_acc": 0.9, "best_val_acc": 0.92, "best_epoch": 6}, "improvement": 0.28, "first_improvement_epoch": 1}}
|
9,690
|
{"target_pattern": "increasing_pairs", "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": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5952, "learning_rate": 0.06050293220407014, "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:
{
"network.0.weight": [
[
0.805028,
0.363739,
0.366324,
-0.067297,
-0.281608
],
[
0.93564,
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0.422346,
0.256116,
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],
[
0.721059,
0.405799,
0.333072,
-0.209926,
-0.221122
],
[
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0.173916,
0.596773,
0.523582
],
[
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]
],
"network.0.bias": [
0.123937,
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0.341853,
0.613408
],
"network.2.weight": [
[
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0.961673
],
[
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0.34974,
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],
[
-0.344611,
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-0.530181,
-0.052986,
-0.058032
],
[
0.538245,
0.750343,
0.904682,
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0.457993
],
[
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]
],
"network.2.bias": [
0.646192,
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],
"network.4.weight": [
[
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],
[
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0.903939,
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],
[
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0.138228,
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0.610249
],
[
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0.401831
],
[
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0.347724,
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]
],
"network.4.bias": [
0.253261,
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0.741257,
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0.097726
],
"network.6.weight": [
[
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],
[
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0.22607
],
[
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],
[
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0.857177,
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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": [
0.535018,
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],
"network.10.weight": [
[
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[
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[
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[
0.310738,
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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: [2.062141, 2.092249, 2.239597, 1.439645, 1.793790]
std: [2.259344, 2.561413, 2.141113, 1.823586, 2.326598]
pca: [[0.490470, 0.185853, -0.014716, -0.497633, -0.690683, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.522889, 0.245732, 0.679875, 0.438828, 0.106781, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.466204, 0.045824, -0.162339, -0.502082, 0.708599, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.212903, 0.946570, -0.225627, 0.056793, 0.067410, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.472601, -0.083542, -0.678448, 0.551796, -0.069986, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.239498, 36.002491, 40.930636, 44.289974, 185.592720], [40.672052, 42.582573, 47.290396, 49.475247, 188.302429], [33.562019, 33.615143, 36.838880, 42.588881, 201.563716], [27.729515, 28.168474, 29.575064, 31.100704, 129.568028], [34.881172, 38.349401, 44.134942, 48.330098, 161.441133]]
### 2
mean: [5.953161, -1.538471, -2.233926, 5.592048, -0.341771]
std: [5.471408, 2.068132, 2.577240, 5.692444, 1.335366]
pca: [[0.635759, -0.040356, 0.122225, 0.759127, -0.054479, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.231451, 0.493255, 0.771376, 0.117890, 0.306938, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.297936, -0.251875, -0.299252, 0.341786, 0.800889, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.661153, 0.251300, -0.087018, -0.490331, 0.501725, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.127868, 0.792766, -0.541217, 0.229314, -0.098335, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[85.060679, 88.387134, 105.382188, 105.666311, 535.784403], [30.707899, 31.121875, 36.613689, 42.353156, 138.462411], [41.504565, 42.570866, 47.660913, 49.801454, 201.053300], [89.185429, 90.506583, 108.745503, 109.999128, 503.284284], [19.591497, 20.783330, 24.452054, 24.684173, 30.759408]]
### 4
mean: [9.722892, 10.162977, 4.961928, -5.066113, -0.986891]
std: [9.156875, 10.051353, 4.014404, 4.094975, 0.733992]
pca: [[0.620092, 0.089381, -0.484788, 0.564590, -0.231767, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.680685, -0.166358, 0.213409, -0.284046, 0.618682, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.271014, 0.618472, 0.650661, 0.020773, -0.346775, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.276853, 0.492113, -0.013330, 0.487920, 0.665533, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.045370, -0.582797, 0.543967, 0.601713, -0.018173, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[143.558259, 146.265060, 176.415280, 178.210122, 875.060330], [158.019178, 161.200676, 192.550586, 194.230268, 914.667973], [65.021361, 65.894840, 75.858204, 78.150015, 446.573559], [63.014418, 65.427192, 78.133988, 78.604334, 455.950143], [12.122732, 12.695246, 14.163348, 14.466401, 88.820232]]
### 6
mean: [-7.445265, -8.718413, -10.007133, 19.902603, -10.298497]
std: [6.895062, 7.848629, 9.194884, 18.340519, 10.145099]
pca: [[-0.274054, -0.298346, 0.139468, 0.896958, 0.109082, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.311885, 0.721222, 0.517124, 0.103494, -0.323169, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.365432, -0.615993, 0.430135, -0.329984, -0.439439, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.729016, -0.106073, 0.658872, 0.068479, 0.135949, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.403258, 0.011405, 0.306599, -0.266788, 0.819801, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[109.060841, 110.746352, 132.690234, 132.998201, 670.073901], [126.062297, 126.448334, 150.749958, 152.134754, 784.657129], [144.891977, 147.591585, 177.075900, 177.233674, 900.641994], [292.341095, 294.858955, 351.737314, 354.801794, 1791.234304], [161.321356, 163.088533, 195.103534, 196.025588, 926.864672]]
### 8
mean: [7.972746, 0.016992, 14.000319, -8.412732, 19.392254]
std: [6.866024, 0.156798, 12.704461, 8.092885, 18.077654]
pca: [[0.280104, -0.009576, 0.041687, 0.958369, 0.035244, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.006279, -0.188337, 0.855955, -0.023263, -0.480925, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.518281, 0.706234, -0.106803, -0.123083, -0.453940, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.330148, 0.652787, 0.438765, 0.064887, 0.517828, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.737489, -0.198846, 0.248357, -0.248251, 0.541536, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[108.815232, 110.398313, 132.182545, 132.628154, 717.547195], [2.473801, 2.479253, 2.729690, 2.986155, 3.016014], [201.546901, 204.330210, 243.953419, 245.534685, 1260.028683], [127.838174, 129.967453, 156.108202, 156.513621, 757.145867], [286.537597, 290.569472, 348.189068, 349.118875, 1745.302919]]
### 10
mean: [-17.939585, -11.470571, 21.228455, -3.791279, 28.409233]
std: [15.544515, 11.318784, 19.312054, 4.321064, 25.800190]
pca: [[-0.411490, 0.696774, 0.056324, 0.557227, -0.177505, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.299629, -0.302797, 0.724207, 0.239190, 0.486670, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.511227, 0.308120, -0.230335, 0.247317, 0.727660, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.114377, -0.571257, -0.470076, 0.661050, -0.051226, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.682981, -0.039342, 0.445338, 0.366241, -0.446688, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[246.484249, 250.071031, 299.208340, 300.226321, 1614.562706], [178.344009, 182.054932, 218.222503, 218.447753, 1032.351325], [304.659500, 310.545550, 372.539635, 372.719754, 1910.560854], [67.426134, 69.448027, 83.002743, 84.035682, 341.215088], [407.613948, 414.916596, 497.734779, 497.833590, 2556.831101]]
### 12
mean: [-26.138523]
std: [23.854378]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[373.243444, 383.330811, 459.300713, 463.553372, 2352.466942]]
## 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:
{
"network.0.weight": [
[
0.805028,
0.363739,
0.366324,
-0.067297,
-0.281608
],
[
0.93564,
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0.422346,
0.256116,
-0.789609
],
[
0.721059,
0.405799,
0.333072,
-0.209926,
-0.221122
],
[
-0.148326,
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0.173916,
0.596773,
0.523582
],
[
0.638943,
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],
"network.0.bias": [
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0.341853,
0.613408
],
"network.2.weight": [
[
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0.548669,
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],
[
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-0.264474,
0.34974,
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],
[
-0.344611,
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-0.530181,
-0.052986,
-0.058032
],
[
0.538245,
0.750343,
0.904682,
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0.457993
],
[
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]
],
"network.2.bias": [
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0.466149,
0.11326,
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],
"network.4.weight": [
[
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],
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0.903939,
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],
[
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0.138228,
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0.610249
],
[
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0.401831
],
[
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0.123222,
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]
],
"network.4.bias": [
0.253261,
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0.741257,
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0.097726
],
"network.6.weight": [
[
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],
[
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0.22607
],
[
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],
[
0.72874,
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0.857177,
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],
[
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0.204226
]
],
"network.6.bias": [
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0.224167,
0.606365
],
"network.8.weight": [
[
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0.060158,
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],
[
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0.007587,
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],
[
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[
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0.784465
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[
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]
],
"network.8.bias": [
0.535018,
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0.300371,
-0.174379
],
"network.10.weight": [
[
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0.528386,
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],
[
0.448231,
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0.823775,
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],
[
0.31684,
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0.736492,
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0.43089
],
[
0.310738,
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0.39755,
0.932568,
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],
[
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]
],
"network.10.bias": [
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0.056969,
0.512676,
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],
"network.12.weight": [
[
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],
"network.12.bias": [
-0.007134
]
}
## Activation Signature
### 0
mean: [2.062141, 2.092249, 2.239597, 1.439645, 1.793790]
std: [2.259344, 2.561413, 2.141113, 1.823586, 2.326598]
pca: [[0.490470, 0.185853, -0.014716, -0.497633, -0.690683, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.522889, 0.245732, 0.679875, 0.438828, 0.106781, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.466204, 0.045824, -0.162339, -0.502082, 0.708599, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.212903, 0.946570, -0.225627, 0.056793, 0.067410, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.472601, -0.083542, -0.678448, 0.551796, -0.069986, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.239498, 36.002491, 40.930636, 44.289974, 185.592720], [40.672052, 42.582573, 47.290396, 49.475247, 188.302429], [33.562019, 33.615143, 36.838880, 42.588881, 201.563716], [27.729515, 28.168474, 29.575064, 31.100704, 129.568028], [34.881172, 38.349401, 44.134942, 48.330098, 161.441133]]
### 2
mean: [5.953161, -1.538471, -2.233926, 5.592048, -0.341771]
std: [5.471408, 2.068132, 2.577240, 5.692444, 1.335366]
pca: [[0.635759, -0.040356, 0.122225, 0.759127, -0.054479, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.231451, 0.493255, 0.771376, 0.117890, 0.306938, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.297936, -0.251875, -0.299252, 0.341786, 0.800889, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.661153, 0.251300, -0.087018, -0.490331, 0.501725, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.127868, 0.792766, -0.541217, 0.229314, -0.098335, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[85.060679, 88.387134, 105.382188, 105.666311, 535.784403], [30.707899, 31.121875, 36.613689, 42.353156, 138.462411], [41.504565, 42.570866, 47.660913, 49.801454, 201.053300], [89.185429, 90.506583, 108.745503, 109.999128, 503.284284], [19.591497, 20.783330, 24.452054, 24.684173, 30.759408]]
### 4
mean: [9.722892, 10.162977, 4.961928, -5.066113, -0.986891]
std: [9.156875, 10.051353, 4.014404, 4.094975, 0.733992]
pca: [[0.620092, 0.089381, -0.484788, 0.564590, -0.231767, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.680685, -0.166358, 0.213409, -0.284046, 0.618682, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.271014, 0.618472, 0.650661, 0.020773, -0.346775, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.276853, 0.492113, -0.013330, 0.487920, 0.665533, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.045370, -0.582797, 0.543967, 0.601713, -0.018173, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[143.558259, 146.265060, 176.415280, 178.210122, 875.060330], [158.019178, 161.200676, 192.550586, 194.230268, 914.667973], [65.021361, 65.894840, 75.858204, 78.150015, 446.573559], [63.014418, 65.427192, 78.133988, 78.604334, 455.950143], [12.122732, 12.695246, 14.163348, 14.466401, 88.820232]]
### 6
mean: [-7.445265, -8.718413, -10.007133, 19.902603, -10.298497]
std: [6.895062, 7.848629, 9.194884, 18.340519, 10.145099]
pca: [[-0.274054, -0.298346, 0.139468, 0.896958, 0.109082, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.311885, 0.721222, 0.517124, 0.103494, -0.323169, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.365432, -0.615993, 0.430135, -0.329984, -0.439439, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.729016, -0.106073, 0.658872, 0.068479, 0.135949, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.403258, 0.011405, 0.306599, -0.266788, 0.819801, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[109.060841, 110.746352, 132.690234, 132.998201, 670.073901], [126.062297, 126.448334, 150.749958, 152.134754, 784.657129], [144.891977, 147.591585, 177.075900, 177.233674, 900.641994], [292.341095, 294.858955, 351.737314, 354.801794, 1791.234304], [161.321356, 163.088533, 195.103534, 196.025588, 926.864672]]
### 8
mean: [7.972746, 0.016992, 14.000319, -8.412732, 19.392254]
std: [6.866024, 0.156798, 12.704461, 8.092885, 18.077654]
pca: [[0.280104, -0.009576, 0.041687, 0.958369, 0.035244, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.006279, -0.188337, 0.855955, -0.023263, -0.480925, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.518281, 0.706234, -0.106803, -0.123083, -0.453940, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.330148, 0.652787, 0.438765, 0.064887, 0.517828, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.737489, -0.198846, 0.248357, -0.248251, 0.541536, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[108.815232, 110.398313, 132.182545, 132.628154, 717.547195], [2.473801, 2.479253, 2.729690, 2.986155, 3.016014], [201.546901, 204.330210, 243.953419, 245.534685, 1260.028683], [127.838174, 129.967453, 156.108202, 156.513621, 757.145867], [286.537597, 290.569472, 348.189068, 349.118875, 1745.302919]]
### 10
mean: [-17.939585, -11.470571, 21.228455, -3.791279, 28.409233]
std: [15.544515, 11.318784, 19.312054, 4.321064, 25.800190]
pca: [[-0.411490, 0.696774, 0.056324, 0.557227, -0.177505, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.299629, -0.302797, 0.724207, 0.239190, 0.486670, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.511227, 0.308120, -0.230335, 0.247317, 0.727660, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.114377, -0.571257, -0.470076, 0.661050, -0.051226, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.682981, -0.039342, 0.445338, 0.366241, -0.446688, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[246.484249, 250.071031, 299.208340, 300.226321, 1614.562706], [178.344009, 182.054932, 218.222503, 218.447753, 1032.351325], [304.659500, 310.545550, 372.539635, 372.719754, 1910.560854], [67.426134, 69.448027, 83.002743, 84.035682, 341.215088], [407.613948, 414.916596, 497.734779, 497.833590, 2556.831101]]
### 12
mean: [-26.138523]
std: [23.854378]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[373.243444, 383.330811, 459.300713, 463.553372, 2352.466942]]
## 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": [[0.805028, 0.363739, 0.366324, -0.067297, -0.281608], [0.93564, 0.171157, 0.422346, 0.256116, -0.789609], [0.721059, 0.405799, 0.333072, -0.209926, -0.221122], [-0.148326, -0.552301, 0.173916, 0.596773, 0.523582], [0.638943, 0.249545, 0.570302, -0.495763, -0.160243]], "network.0.bias": [0.123937, 0.158403, 0.629964, 0.341853, 0.613408], "network.2.weight": [[0.332247, 0.753233, 0.548669, -0.090896, 0.961673], [0.105483, -0.206312, -0.264474, 0.34974, -0.516684], [-0.344611, -0.277818, -0.530181, -0.052986, -0.058032], [0.538245, 0.750343, 0.904682, -0.130535, 0.457993], [-0.293404, 0.567697, -0.454989, 0.078034, -0.320659]], "network.2.bias": [0.646192, -0.252382, 0.466149, 0.11326, 0.475862], "network.4.weight": [[0.919002, -0.596787, 0.346315, 0.719408, 0.259887], [0.887346, -0.159346, -0.301518, 0.903939, -0.085943], [0.074151, -0.227548, 0.138228, 0.65053, 0.610249], [-0.530143, -0.132616, -0.208271, -0.194438, 0.401831], [-0.269853, 0.303678, 0.347724, 0.123222, -0.696274]], "network.4.bias": [0.253261, -0.106873, 0.741257, -0.946279, 0.097726], "network.6.weight": [[-0.480653, -0.235305, -0.029153, -0.459479, -0.199559], [-0.359664, -0.107197, -0.857292, -0.51748, 0.22607], [-0.81793, -0.237146, 0.165345, -0.01741, -0.124392], [0.72874, 0.817662, 0.857177, 0.304287, -0.671589], [-0.635118, -0.275649, -0.387652, -0.164147, 0.204226]], "network.6.bias": [-0.270166, 0.092555, -0.463232, 0.224167, 0.606365], "network.8.weight": [[0.026423, 0.060158, -0.100318, 0.373987, -0.317204], [0.1236, 0.293204, 0.212848, 0.007587, 0.157861], [-0.197387, -0.681906, -0.45551, 0.693843, -0.383687], [-0.620687, 0.274814, -0.6158, -0.439403, 0.784465], [0.24424, -0.464863, 0.607135, 0.984258, -0.841286]], "network.8.bias": [0.535018, -0.117967, 0.166887, 0.300371, -0.174379], "network.10.weight": [[-0.660369, 0.528386, -0.547865, -0.29346, -0.225234], [0.448231, -0.139512, -0.377302, 0.823775, -0.530811], [0.31684, -0.33522, 0.736492, -0.872938, 0.43089], [0.310738, -0.331439, 0.39755, 0.932568, -0.635538], [0.829488, -0.66119, 0.658445, -0.699079, 0.650872]], "network.10.bias": [-0.671742, 0.542965, 0.056969, 0.512676, -0.004344], "network.12.weight": [[-0.332347, 0.672766, -0.443554, 0.511066, -0.590106]], "network.12.bias": [-0.007134]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6836972832679749, "train_acc": 0.585, "val_loss": 0.7104724049568176, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6687215864658356, "train_acc": 0.585, "val_loss": 0.6956337094306946, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6385347545146942, "train_acc": 0.585, "val_loss": 0.6405468583106995, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5769116580486298, "train_acc": 0.625, "val_loss": 0.4614342451095581, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.38227079808712006, "train_acc": 0.865, "val_loss": 0.4539862871170044, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.30026975274086, "train_acc": 0.885, "val_loss": 0.5406712293624878, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.28787995874881744, "train_acc": 0.885, "val_loss": 0.5112637877464294, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3349650055170059, "train_acc": 0.885, "val_loss": 0.5206838250160217, "val_acc": 0.82}], "summary": {"total_epochs": 8, "degraded_epochs": 3, "improved_epochs": 5, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7104724049568176, "final_val_loss": 0.6405468583106995, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.4614342451095581, "final_val_loss": 0.5206838250160217, "initial_val_acc": 0.8, "final_val_acc": 0.82, "best_val_acc": 0.84, "best_epoch": 6}, "improvement": 0.36, "first_improvement_epoch": 2}}
|
9,691
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.8, "improved_accuracy": 0.98, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8509, "learning_rate": 0.08738787074788663, "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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"network.0.bias": [
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"network.2.weight": [
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],
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}
## Activation Signature
### 0
mean: [-0.199808, 0.918658, 1.523230, 1.919608, 0.825624, 0.796097]
std: [1.647967, 2.492499, 2.003610, 2.583412, 1.524370, 2.021444]
pca: [[-0.318254, -0.328902, 0.187729, -0.285521, 0.756984, -0.317408, 0.000000, 0.000000, 0.000000, 0.000000], [0.495459, 0.546196, -0.404881, -0.312913, 0.439930, 0.028444, 0.000000, 0.000000, 0.000000, 0.000000], [0.405370, -0.415010, 0.310453, -0.296804, 0.088953, 0.686335, 0.000000, 0.000000, 0.000000, 0.000000], [0.574689, -0.206173, 0.263761, -0.239318, -0.276632, -0.651043, 0.000000, 0.000000, 0.000000, 0.000000], [0.127891, 0.472056, 0.739737, 0.398676, 0.233126, 0.017488, 0.000000, 0.000000, 0.000000, 0.000000], [0.377210, -0.394861, -0.296087, 0.718509, 0.307653, -0.056781, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.883024, 28.861414, 32.113123, 32.799627, 32.938317], [39.362646, 39.814805, 51.341195, 52.250338, 82.679215], [30.266333, 30.716215, 32.115028, 34.888628, 137.090719], [42.052372, 42.407150, 42.550445, 45.295992, 172.764706], [25.617412, 27.417820, 28.461478, 31.288254, 74.306125], [32.344981, 34.295546, 35.068922, 37.839096, 71.648718]]
### 2
mean: [3.032804, 3.308527, 0.772803, -1.029583, 3.958848, 2.677683]
std: [3.911930, 4.515852, 1.323674, 2.195405, 5.196603, 2.933807]
pca: [[0.446460, -0.263358, -0.046918, -0.335290, 0.354277, 0.700845, 0.000000, 0.000000, 0.000000, 0.000000], [0.513814, -0.316823, -0.534048, 0.374120, -0.452684, -0.074307, 0.000000, 0.000000, 0.000000, 0.000000], [0.123371, 0.780142, 0.009139, 0.223155, -0.310977, 0.479134, 0.000000, 0.000000, 0.000000, 0.000000], [-0.248115, -0.144207, -0.035416, 0.794021, 0.477949, 0.239761, 0.000000, 0.000000, 0.000000, 0.000000], [0.593145, 0.380936, 0.013876, 0.076595, 0.529894, -0.464995, 0.000000, 0.000000, 0.000000, 0.000000], [0.328735, -0.236085, 0.843244, 0.247954, -0.252261, 0.004463, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[64.106266, 65.387504, 67.133049, 67.643253, 272.952397], [73.184078, 75.605884, 76.806571, 82.429022, 297.767392], [24.569495, 24.870399, 26.530642, 28.748294, 69.552231], [34.622953, 37.202602, 38.309645, 41.280297, 92.662437], [88.041159, 88.677130, 90.775375, 92.927381, 356.296324], [46.981880, 47.462688, 50.657734, 54.529634, 240.991463]]
### 4
mean: [7.426287, -1.693110, -3.904721, -4.049314, -6.112928, -3.143174]
std: [10.183261, 1.576296, 4.794629, 4.916619, 6.960018, 4.924763]
pca: [[0.677987, -0.419969, 0.586029, -0.098778, 0.094931, 0.041954, 0.000000, 0.000000, 0.000000, 0.000000], [-0.104348, -0.178717, -0.062252, -0.515703, -0.492461, 0.666955, 0.000000, 0.000000, 0.000000, 0.000000], [-0.318820, -0.353291, 0.203219, -0.231157, -0.487446, -0.664232, 0.000000, 0.000000, 0.000000, 0.000000], [-0.326732, -0.411288, -0.108394, -0.465755, 0.703754, -0.011944, 0.000000, 0.000000, 0.000000, 0.000000], [-0.463045, -0.433627, 0.307429, 0.629229, 0.000940, 0.327282, 0.000000, 0.000000, 0.000000, 0.000000], [-0.326550, 0.556490, 0.710728, -0.240836, 0.124890, 0.070360, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[171.682153, 172.537705, 177.807906, 179.984612, 668.365868], [25.959730, 26.203973, 27.396679, 27.481133, 152.379918], [80.576780, 80.768488, 81.065411, 81.205896, 351.424896], [83.118912, 83.285127, 83.322947, 83.584503, 364.438190], [116.640274, 116.732340, 118.698432, 118.922810, 550.163559], [82.210866, 82.649126, 88.413556, 92.291743, 282.885704]]
### 6
mean: [-1.612133, -0.081489, -0.395781, 5.590714, -1.055983, 4.944550]
std: [2.906276, 0.596627, 1.730187, 7.138404, 2.760881, 6.811918]
pca: [[-0.268596, 0.463301, -0.546517, 0.170984, -0.526399, 0.328933, 0.000000, 0.000000, 0.000000, 0.000000], [-0.052203, 0.500763, 0.420471, 0.657475, 0.012872, -0.370508, 0.000000, 0.000000, 0.000000, 0.000000], [-0.159928, 0.263785, 0.669295, -0.495538, -0.388494, 0.245763, 0.000000, 0.000000, 0.000000, 0.000000], [0.660924, 0.286663, -0.187449, -0.321120, -0.306369, -0.498886, 0.000000, 0.000000, 0.000000, 0.000000], [-0.254818, 0.571843, -0.179696, -0.397972, 0.641199, -0.079079, 0.000000, 0.000000, 0.000000, 0.000000], [0.630715, 0.236275, 0.095601, 0.177295, 0.258481, 0.662561, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.126707, 49.595558, 50.595799, 52.116454, 145.091944], [9.572076, 9.607009, 10.561662, 10.582299, 11.751452], [28.824518, 29.392243, 29.961171, 31.148711, 35.620296], [120.967435, 121.504121, 125.191718, 127.282887, 503.164260], [45.386140, 47.709550, 48.212021, 49.592357, 95.038516], [115.365998, 116.076497, 119.255279, 121.449299, 445.009496]]
### 8
mean: [-1.131964, 7.209490, -2.063916, -2.416961, -1.104453, 3.510517]
std: [3.192573, 10.336211, 1.537975, 3.004942, 4.378828, 5.024638]
pca: [[-0.242747, 0.262867, 0.247858, 0.545962, 0.309629, 0.645443, 0.000000, 0.000000, 0.000000, 0.000000], [0.787749, 0.163994, 0.292798, 0.455448, -0.131860, -0.204955, 0.000000, 0.000000, 0.000000, 0.000000], [-0.115734, -0.288017, -0.510757, 0.567220, 0.399679, -0.401618, 0.000000, 0.000000, 0.000000, 0.000000], [-0.227795, -0.367908, 0.760775, -0.029956, 0.323884, -0.358017, 0.000000, 0.000000, 0.000000, 0.000000], [-0.329783, 0.800287, 0.051754, 0.027639, 0.008446, -0.497263, 0.000000, 0.000000, 0.000000, 0.000000], [0.382731, 0.212692, -0.102496, -0.413633, 0.788687, 0.068215, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[53.593102, 55.626119, 55.965947, 56.944495, 101.876771], [173.041583, 175.674014, 177.778321, 184.860025, 648.854114], [26.491587, 26.740819, 26.793972, 28.905880, 185.752441], [50.818542, 51.372722, 53.698312, 54.219907, 217.526499], [73.969446, 76.821731, 77.509879, 80.601640, 99.400768], [84.780598, 85.943574, 86.802035, 89.679517, 315.946509]]
### 10
mean: [-6.780470]
std: [11.136683]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[184.882520, 189.230597, 192.581158, 199.124078, 610.242252]]
## 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": [
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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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0.079679,
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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.8.weight": [
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"network.10.weight": [
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.199808, 0.918658, 1.523230, 1.919608, 0.825624, 0.796097]
std: [1.647967, 2.492499, 2.003610, 2.583412, 1.524370, 2.021444]
pca: [[-0.318254, -0.328902, 0.187729, -0.285521, 0.756984, -0.317408, 0.000000, 0.000000, 0.000000, 0.000000], [0.495459, 0.546196, -0.404881, -0.312913, 0.439930, 0.028444, 0.000000, 0.000000, 0.000000, 0.000000], [0.405370, -0.415010, 0.310453, -0.296804, 0.088953, 0.686335, 0.000000, 0.000000, 0.000000, 0.000000], [0.574689, -0.206173, 0.263761, -0.239318, -0.276632, -0.651043, 0.000000, 0.000000, 0.000000, 0.000000], [0.127891, 0.472056, 0.739737, 0.398676, 0.233126, 0.017488, 0.000000, 0.000000, 0.000000, 0.000000], [0.377210, -0.394861, -0.296087, 0.718509, 0.307653, -0.056781, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.883024, 28.861414, 32.113123, 32.799627, 32.938317], [39.362646, 39.814805, 51.341195, 52.250338, 82.679215], [30.266333, 30.716215, 32.115028, 34.888628, 137.090719], [42.052372, 42.407150, 42.550445, 45.295992, 172.764706], [25.617412, 27.417820, 28.461478, 31.288254, 74.306125], [32.344981, 34.295546, 35.068922, 37.839096, 71.648718]]
### 2
mean: [3.032804, 3.308527, 0.772803, -1.029583, 3.958848, 2.677683]
std: [3.911930, 4.515852, 1.323674, 2.195405, 5.196603, 2.933807]
pca: [[0.446460, -0.263358, -0.046918, -0.335290, 0.354277, 0.700845, 0.000000, 0.000000, 0.000000, 0.000000], [0.513814, -0.316823, -0.534048, 0.374120, -0.452684, -0.074307, 0.000000, 0.000000, 0.000000, 0.000000], [0.123371, 0.780142, 0.009139, 0.223155, -0.310977, 0.479134, 0.000000, 0.000000, 0.000000, 0.000000], [-0.248115, -0.144207, -0.035416, 0.794021, 0.477949, 0.239761, 0.000000, 0.000000, 0.000000, 0.000000], [0.593145, 0.380936, 0.013876, 0.076595, 0.529894, -0.464995, 0.000000, 0.000000, 0.000000, 0.000000], [0.328735, -0.236085, 0.843244, 0.247954, -0.252261, 0.004463, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[64.106266, 65.387504, 67.133049, 67.643253, 272.952397], [73.184078, 75.605884, 76.806571, 82.429022, 297.767392], [24.569495, 24.870399, 26.530642, 28.748294, 69.552231], [34.622953, 37.202602, 38.309645, 41.280297, 92.662437], [88.041159, 88.677130, 90.775375, 92.927381, 356.296324], [46.981880, 47.462688, 50.657734, 54.529634, 240.991463]]
### 4
mean: [7.426287, -1.693110, -3.904721, -4.049314, -6.112928, -3.143174]
std: [10.183261, 1.576296, 4.794629, 4.916619, 6.960018, 4.924763]
pca: [[0.677987, -0.419969, 0.586029, -0.098778, 0.094931, 0.041954, 0.000000, 0.000000, 0.000000, 0.000000], [-0.104348, -0.178717, -0.062252, -0.515703, -0.492461, 0.666955, 0.000000, 0.000000, 0.000000, 0.000000], [-0.318820, -0.353291, 0.203219, -0.231157, -0.487446, -0.664232, 0.000000, 0.000000, 0.000000, 0.000000], [-0.326732, -0.411288, -0.108394, -0.465755, 0.703754, -0.011944, 0.000000, 0.000000, 0.000000, 0.000000], [-0.463045, -0.433627, 0.307429, 0.629229, 0.000940, 0.327282, 0.000000, 0.000000, 0.000000, 0.000000], [-0.326550, 0.556490, 0.710728, -0.240836, 0.124890, 0.070360, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[171.682153, 172.537705, 177.807906, 179.984612, 668.365868], [25.959730, 26.203973, 27.396679, 27.481133, 152.379918], [80.576780, 80.768488, 81.065411, 81.205896, 351.424896], [83.118912, 83.285127, 83.322947, 83.584503, 364.438190], [116.640274, 116.732340, 118.698432, 118.922810, 550.163559], [82.210866, 82.649126, 88.413556, 92.291743, 282.885704]]
### 6
mean: [-1.612133, -0.081489, -0.395781, 5.590714, -1.055983, 4.944550]
std: [2.906276, 0.596627, 1.730187, 7.138404, 2.760881, 6.811918]
pca: [[-0.268596, 0.463301, -0.546517, 0.170984, -0.526399, 0.328933, 0.000000, 0.000000, 0.000000, 0.000000], [-0.052203, 0.500763, 0.420471, 0.657475, 0.012872, -0.370508, 0.000000, 0.000000, 0.000000, 0.000000], [-0.159928, 0.263785, 0.669295, -0.495538, -0.388494, 0.245763, 0.000000, 0.000000, 0.000000, 0.000000], [0.660924, 0.286663, -0.187449, -0.321120, -0.306369, -0.498886, 0.000000, 0.000000, 0.000000, 0.000000], [-0.254818, 0.571843, -0.179696, -0.397972, 0.641199, -0.079079, 0.000000, 0.000000, 0.000000, 0.000000], [0.630715, 0.236275, 0.095601, 0.177295, 0.258481, 0.662561, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.126707, 49.595558, 50.595799, 52.116454, 145.091944], [9.572076, 9.607009, 10.561662, 10.582299, 11.751452], [28.824518, 29.392243, 29.961171, 31.148711, 35.620296], [120.967435, 121.504121, 125.191718, 127.282887, 503.164260], [45.386140, 47.709550, 48.212021, 49.592357, 95.038516], [115.365998, 116.076497, 119.255279, 121.449299, 445.009496]]
### 8
mean: [-1.131964, 7.209490, -2.063916, -2.416961, -1.104453, 3.510517]
std: [3.192573, 10.336211, 1.537975, 3.004942, 4.378828, 5.024638]
pca: [[-0.242747, 0.262867, 0.247858, 0.545962, 0.309629, 0.645443, 0.000000, 0.000000, 0.000000, 0.000000], [0.787749, 0.163994, 0.292798, 0.455448, -0.131860, -0.204955, 0.000000, 0.000000, 0.000000, 0.000000], [-0.115734, -0.288017, -0.510757, 0.567220, 0.399679, -0.401618, 0.000000, 0.000000, 0.000000, 0.000000], [-0.227795, -0.367908, 0.760775, -0.029956, 0.323884, -0.358017, 0.000000, 0.000000, 0.000000, 0.000000], [-0.329783, 0.800287, 0.051754, 0.027639, 0.008446, -0.497263, 0.000000, 0.000000, 0.000000, 0.000000], [0.382731, 0.212692, -0.102496, -0.413633, 0.788687, 0.068215, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[53.593102, 55.626119, 55.965947, 56.944495, 101.876771], [173.041583, 175.674014, 177.778321, 184.860025, 648.854114], [26.491587, 26.740819, 26.793972, 28.905880, 185.752441], [50.818542, 51.372722, 53.698312, 54.219907, 217.526499], [73.969446, 76.821731, 77.509879, 80.601640, 99.400768], [84.780598, 85.943574, 86.802035, 89.679517, 315.946509]]
### 10
mean: [-6.780470]
std: [11.136683]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[184.882520, 189.230597, 192.581158, 199.124078, 610.242252]]
## 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": [73.96944638138905, 76.8217314979396, 77.50987864867025, 80.60164012737961, 99.40076830983162]}, "5": {"mean": 3.51051664352417, "std": 5.024637699127197, "pca": [0.38273102045059204, 0.21269236505031586, -0.10249558091163635, -0.4136333763599396, 0.7886872887611389, 0.06821540743112564, 0.0, 0.0, 0.0, 0.0], "fourier": [84.78059848481539, 85.94357432208514, 86.8020349239727, 89.67951733781676, 315.94650852680206]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -6.78046989440918, "std": 11.136682510375977, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [184.8825203794751, 189.23059677652745, 192.58115787358062, 199.1240784425448, 610.2422517538071]}}, "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": [[-0.80487, 0.300886, -0.173894, -0.109513, 0.453977], [0.996278, -0.194026, 0.455024, -0.362899, -0.168435], [0.631397, 0.676986, -0.129517, -0.079701, 0.11794], [1.076369, 0.491872, -0.048369, -0.029722, -0.051852], [0.3777, -0.464394, 0.394819, 0.519463, 0.123514], [0.405128, 0.62106, 0.310672, -0.032195, -0.563976]], "network.0.bias": [0.291713, 0.067862, -0.200125, -0.087449, -0.8892, -0.72412], "network.2.weight": [[-0.107037, 0.331716, 0.855695, 0.456698, -0.033996, 0.433511], [-0.148292, 0.580249, 1.135684, 0.527707, -0.309209, 0.105626], [-0.249797, 0.420829, 0.367845, -0.191162, 0.473089, -0.089861], [0.477016, -0.062829, -0.510583, -0.287427, -0.202429, -0.145801], [-0.004968, 0.727895, 0.857365, 0.603941, 0.360135, 0.481482], [0.404448, 0.00697, 0.774645, 0.420867, 0.31534, 0.229374]], "network.2.bias": [-0.137296, -0.083367, -0.313216, 0.594874, -0.60085, -0.23589], "network.4.weight": [[0.264348, 0.611949, 0.676828, -0.767923, 0.748732, 0.623273], [-0.398449, -0.054282, -0.089883, -0.384413, 0.079679, -0.061475], [-0.285362, -0.185617, 0.258377, -0.076711, -0.412965, -0.357289], [-0.340458, -0.573564, -0.15322, 0.139982, 0.133807, -0.544473], [-0.622171, -0.185389, 0.080642, 0.350418, -0.350529, -0.67867], [-0.574088, -0.169457, -0.473785, 0.890749, -0.353224, 0.183291]], "network.4.bias": [-0.56453, -0.259926, 0.021031, -0.025152, -0.49495, 0.314101], "network.6.weight": [[-0.279949, -0.545536, -0.0114, 0.30386, 0.435875, 0.459147], [-0.045877, -0.327961, -0.28687, -0.213899, 0.000743, 0.524142], [-0.16693, -0.252218, -0.153472, -0.337324, 0.053381, 0.279329], [0.718476, 0.111161, -0.047244, 0.069432, 0.243262, 0.318086], [-0.262836, 0.048742, 0.064159, 0.120839, 0.282056, 0.578515], [0.684867, -0.177461, 0.030086, -0.12564, 0.124696, 0.271738]], "network.6.bias": [0.396848, 0.12935, 0.805436, 0.024093, 0.791988, -0.351459], "network.8.weight": [[0.522749, -0.211917, 0.557558, -0.123585, 0.242478, -0.290756], [-0.318521, -0.215632, -0.44198, 0.84295, -0.341142, 0.586353], [0.161218, -0.114574, -0.273019, -0.46561, -0.218791, 0.243802], [-0.032291, -0.339431, 0.393018, -0.126164, -0.366559, -0.317519], [0.590767, 0.222447, 0.771484, -0.05601, 0.94951, -0.472136], [-0.436002, 0.476247, -0.288427, 0.169474, 0.014958, 0.547888]], "network.8.bias": [0.565532, 0.042603, -0.475228, -0.062223, 0.605604, -0.028738], "network.10.weight": [[0.350638, -0.706053, -0.025353, -0.055255, 0.659229, -0.658002]], "network.10.bias": [-0.071679]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6916210651397705, "train_acc": 0.555, "val_loss": 0.6234972476959229, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6048962473869324, "train_acc": 0.555, "val_loss": 0.43514174222946167, "val_acc": 0.8}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6027781367301941, "train_acc": 0.64, "val_loss": 0.5274916887283325, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4287075102329254, "train_acc": 0.84, "val_loss": 0.26895084977149963, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.22132405638694763, "train_acc": 0.925, "val_loss": 0.14400030672550201, "val_acc": 0.98}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.21082211285829544, "train_acc": 0.95, "val_loss": 0.17980071902275085, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.15866705030202866, "train_acc": 0.965, "val_loss": 2.1325430870056152, "val_acc": 0.66}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 1.1957210451364517, "train_acc": 0.725, "val_loss": 0.5211639404296875, "val_acc": 0.86}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6234972476959229, "final_val_loss": 0.43514174222946167, "initial_val_acc": 0.54, "final_val_acc": 0.8, "best_val_acc": 0.8}, "improved_stage": {"initial_val_loss": 0.5274916887283325, "final_val_loss": 0.5211639404296875, "initial_val_acc": 0.82, "final_val_acc": 0.86, "best_val_acc": 0.98, "best_epoch": 4}, "improvement": 0.17999999999999994, "first_improvement_epoch": 1}}
|
9,692
|
{"target_pattern": "alternating", "degraded_accuracy": 0.64, "improved_accuracy": 0.98, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7929, "learning_rate": 0.01899092668279832, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.10.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: [0.640659, 1.620821, 0.672555, -1.067327, -0.549265, 0.566408, 0.065483]
std: [1.250750, 1.708624, 1.309416, 0.642143, 2.268562, 1.296940, 2.349524]
pca: [[-0.259596, -0.209055, 0.433921, 0.687675, 0.445577, -0.108980, -0.131551, 0.000000, 0.000000, 0.000000], [0.002862, 0.706688, 0.614005, -0.044218, -0.169832, -0.184060, 0.242706, 0.000000, 0.000000, 0.000000], [-0.083944, -0.535491, 0.412472, 0.031955, -0.580614, 0.290759, 0.336742, 0.000000, 0.000000, 0.000000], [-0.091707, 0.021206, -0.365719, 0.240972, 0.145725, -0.199280, 0.859287, 0.000000, 0.000000, 0.000000], [-0.609690, 0.354571, -0.200265, 0.142620, -0.062632, 0.661025, -0.035126, 0.000000, 0.000000, 0.000000], [0.344709, -0.047781, 0.259702, -0.293658, 0.591144, 0.555401, 0.259404, 0.000000, 0.000000, 0.000000], [0.653145, 0.204167, -0.152566, 0.599569, -0.246772, 0.290804, -0.059114, 0.000000, 0.000000, 0.000000]]
fourier: [[17.690241, 18.288029, 22.182411, 26.177719, 57.659311], [25.731744, 26.009804, 28.306173, 29.089756, 145.873899], [21.611197, 21.822594, 23.324233, 25.126988, 60.529938], [10.771613, 11.656931, 12.344292, 13.801500, 96.059468], [39.740016, 41.665218, 46.839903, 49.433882, 51.615724], [24.560803, 24.729129, 25.543429, 25.570314, 50.976717], [34.969657, 35.825721, 40.114693, 40.252207, 44.334037]]
### 2
mean: [0.933680, -0.948880, -0.357970, 1.598757, -0.159745, 2.159840, -0.792547]
std: [1.014235, 0.604959, 1.513432, 1.255395, 0.991587, 1.161813, 1.607776]
pca: [[-0.207596, 0.408291, 0.419567, -0.485747, -0.322309, 0.231394, -0.469882, 0.000000, 0.000000, 0.000000], [0.072033, -0.351912, 0.025627, -0.289409, 0.697220, 0.485296, -0.254810, 0.000000, 0.000000, 0.000000], [0.608928, 0.209631, 0.185531, 0.234722, -0.196075, 0.617845, 0.274895, 0.000000, 0.000000, 0.000000], [-0.411959, 0.253736, -0.463441, 0.517260, -0.007392, 0.410902, -0.338639, 0.000000, 0.000000, 0.000000], [-0.061169, 0.108548, 0.687902, 0.562306, 0.345145, -0.205492, -0.183648, 0.000000, 0.000000, 0.000000], [-0.250176, 0.635778, -0.035282, -0.199014, 0.448769, 0.019635, 0.539043, 0.000000, 0.000000, 0.000000], [-0.587266, -0.430272, 0.315679, 0.042951, -0.225793, 0.343161, 0.446928, 0.000000, 0.000000, 0.000000]]
fourier: [[15.247050, 16.665084, 17.568222, 19.249909, 84.031236], [9.563008, 9.975105, 10.308649, 11.308130, 85.399237], [24.942056, 27.110356, 27.220316, 31.304723, 32.217311], [21.430842, 23.388923, 24.701868, 24.928564, 143.888157], [14.377073, 15.193115, 16.809099, 17.747177, 18.869239], [18.825009, 19.005290, 19.007351, 20.976871, 194.385556], [24.367180, 28.803540, 29.382269, 29.752824, 71.329245]]
### 4
mean: [1.370835, -0.421807, -0.826690, -0.461329, 0.942572, 2.269523, 0.306465]
std: [1.186772, 0.207524, 0.447982, 0.264858, 0.664650, 1.054327, 0.376470]
pca: [[0.710328, -0.375818, -0.159725, -0.142890, 0.408396, -0.302000, 0.224220, 0.000000, 0.000000, 0.000000], [-0.092484, -0.145306, 0.050583, 0.328120, 0.473601, 0.702217, 0.377764, 0.000000, 0.000000, 0.000000], [-0.212337, 0.249585, -0.421908, 0.607355, 0.116362, -0.479911, 0.319186, 0.000000, 0.000000, 0.000000], [-0.116746, -0.139136, 0.372054, -0.183432, -0.387044, -0.148827, 0.789295, 0.000000, 0.000000, 0.000000], [0.164608, 0.765282, -0.239144, -0.456959, 0.143123, 0.170065, 0.268030, 0.000000, 0.000000, 0.000000], [0.632225, 0.277681, 0.219390, 0.502777, -0.430669, 0.190839, -0.019308, 0.000000, 0.000000, 0.000000], [-0.036879, 0.305341, 0.741739, 0.088294, 0.489501, -0.312862, -0.099705, 0.000000, 0.000000, 0.000000]]
fourier: [[17.361927, 18.342224, 18.913159, 20.787121, 123.375160], [3.163500, 3.551579, 3.670398, 3.930444, 37.962586], [6.079672, 6.170929, 6.906554, 8.103715, 74.402110], [3.939581, 4.607010, 4.908937, 5.757513, 41.519624], [11.123905, 12.160163, 12.274052, 13.095016, 84.831444], [17.287626, 18.174548, 18.427285, 18.988446, 204.257130], [6.099011, 6.288209, 6.897739, 7.875793, 27.581895]]
### 6
mean: [-1.240467, 0.856780, 0.949514, 2.121872, -0.517223, -0.055113, 0.569862]
std: [0.768343, 0.519045, 0.845526, 0.847278, 0.307741, 0.230738, 0.716360]
pca: [[-0.491182, -0.008298, -0.187859, 0.225055, -0.434022, -0.131762, 0.683370, 0.000000, 0.000000, 0.000000], [0.075605, 0.727372, 0.012202, 0.531950, -0.185863, 0.349526, -0.159312, 0.000000, 0.000000, 0.000000], [0.528947, -0.211341, 0.601980, 0.344506, -0.278994, -0.277626, 0.198927, 0.000000, 0.000000, 0.000000], [0.499244, 0.472306, -0.172145, -0.527440, -0.022016, -0.083813, 0.460810, 0.000000, 0.000000, 0.000000], [-0.186066, -0.054859, 0.557500, -0.293864, 0.010856, 0.705836, 0.258621, 0.000000, 0.000000, 0.000000], [0.140035, -0.092486, -0.125765, 0.417770, 0.758428, 0.132112, 0.434536, 0.000000, 0.000000, 0.000000], [0.412025, -0.437675, -0.495906, 0.092809, -0.351322, 0.510599, -0.000738, 0.000000, 0.000000, 0.000000]]
fourier: [[11.428427, 12.344972, 12.950963, 13.894685, 111.642005], [8.364775, 9.011068, 9.321861, 9.848536, 77.110192], [12.596493, 13.054457, 13.309923, 14.769080, 85.456233], [14.021517, 14.361913, 15.230510, 15.917874, 190.968445], [4.471481, 4.705651, 5.886239, 6.295457, 46.550024], [3.421189, 3.483183, 4.189054, 4.244738, 4.960168], [10.848876, 10.926803, 12.039456, 12.547235, 51.287568]]
### 8
mean: [1.242347, 0.945628, -0.820463, -0.918635, -0.647416, -1.272374, 0.961284]
std: [0.695197, 0.903013, 0.300344, 0.330385, 0.196045, 0.747094, 0.866629]
pca: [[-0.231660, 0.843083, 0.060250, 0.092763, -0.088417, 0.275664, 0.373498, 0.000000, 0.000000, 0.000000], [0.587711, -0.129707, -0.012335, -0.367095, -0.248768, 0.622035, 0.232481, 0.000000, 0.000000, 0.000000], [-0.195075, -0.000318, -0.492854, -0.215595, 0.725995, 0.370880, -0.089095, 0.000000, 0.000000, 0.000000], [-0.181078, -0.247955, -0.561686, -0.037636, -0.224164, -0.260093, 0.686239, 0.000000, 0.000000, 0.000000], [-0.082549, -0.206363, -0.234113, 0.788033, -0.201237, 0.465063, -0.134219, 0.000000, 0.000000, 0.000000], [-0.449818, -0.407658, 0.604234, -0.018153, 0.193379, 0.271480, 0.393641, 0.000000, 0.000000, 0.000000], [0.566511, 0.046196, 0.133845, 0.432911, 0.524487, -0.204687, 0.393219, 0.000000, 0.000000, 0.000000]]
fourier: [[10.158195, 10.504643, 12.079812, 12.264634, 111.811232], [13.313787, 13.948201, 14.205171, 15.643866, 85.106538], [4.584335, 4.790062, 4.963702, 5.151941, 73.841694], [5.156488, 5.457522, 5.504968, 6.210792, 82.677119], [2.938466, 3.157186, 3.570393, 3.884931, 58.267468], [11.304679, 12.514544, 13.150283, 13.678781, 114.513623], [12.636239, 13.253717, 14.232873, 15.398629, 86.515535]]
### 10
mean: [0.757030, 0.386141, -0.628993, 0.404633, 0.973127, 0.276673, 0.716372]
std: [0.355591, 0.775352, 0.321718, 0.686568, 0.627589, 0.591250, 0.321523]
pca: [[-0.206634, 0.522255, 0.030288, 0.613452, 0.437034, 0.334541, -0.066296, 0.000000, 0.000000, 0.000000], [0.546335, 0.175488, -0.087120, -0.323674, 0.564878, 0.023792, 0.488584, 0.000000, 0.000000, 0.000000], [-0.176976, -0.520928, -0.302255, 0.302740, -0.073194, 0.390122, 0.597287, 0.000000, 0.000000, 0.000000], [0.478483, 0.302705, -0.339025, 0.454237, -0.473800, -0.328499, 0.160486, 0.000000, 0.000000, 0.000000], [-0.435779, 0.308335, 0.432875, -0.058866, -0.151463, -0.363494, 0.607545, 0.000000, 0.000000, 0.000000], [0.418218, -0.002239, 0.671276, 0.070530, -0.327145, 0.509579, 0.052988, 0.000000, 0.000000, 0.000000], [-0.183696, 0.488244, -0.383672, -0.460966, -0.360701, 0.485397, 0.049642, 0.000000, 0.000000, 0.000000]]
fourier: [[5.291438, 5.315634, 6.153676, 6.257494, 68.132703], [11.956396, 11.996083, 12.098051, 12.339535, 34.752689], [4.734414, 5.081678, 5.500077, 5.858637, 56.609335], [10.449446, 10.574498, 10.714758, 11.074210, 36.417004], [9.478726, 9.502021, 9.604777, 10.947696, 87.581408], [8.626250, 9.067806, 9.192445, 9.777649, 24.900548], [4.821001, 4.859053, 5.534797, 5.679952, 64.473469]]
### 12
mean: [-0.741397]
std: [1.438504]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.592447, 20.663081, 21.367266, 25.337621, 66.725777]]
## 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: 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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[
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[
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[
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0.08289,
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],
[
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0.313111
]
],
"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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0.062484,
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[
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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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[
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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: [0.640659, 1.620821, 0.672555, -1.067327, -0.549265, 0.566408, 0.065483]
std: [1.250750, 1.708624, 1.309416, 0.642143, 2.268562, 1.296940, 2.349524]
pca: [[-0.259596, -0.209055, 0.433921, 0.687675, 0.445577, -0.108980, -0.131551, 0.000000, 0.000000, 0.000000], [0.002862, 0.706688, 0.614005, -0.044218, -0.169832, -0.184060, 0.242706, 0.000000, 0.000000, 0.000000], [-0.083944, -0.535491, 0.412472, 0.031955, -0.580614, 0.290759, 0.336742, 0.000000, 0.000000, 0.000000], [-0.091707, 0.021206, -0.365719, 0.240972, 0.145725, -0.199280, 0.859287, 0.000000, 0.000000, 0.000000], [-0.609690, 0.354571, -0.200265, 0.142620, -0.062632, 0.661025, -0.035126, 0.000000, 0.000000, 0.000000], [0.344709, -0.047781, 0.259702, -0.293658, 0.591144, 0.555401, 0.259404, 0.000000, 0.000000, 0.000000], [0.653145, 0.204167, -0.152566, 0.599569, -0.246772, 0.290804, -0.059114, 0.000000, 0.000000, 0.000000]]
fourier: [[17.690241, 18.288029, 22.182411, 26.177719, 57.659311], [25.731744, 26.009804, 28.306173, 29.089756, 145.873899], [21.611197, 21.822594, 23.324233, 25.126988, 60.529938], [10.771613, 11.656931, 12.344292, 13.801500, 96.059468], [39.740016, 41.665218, 46.839903, 49.433882, 51.615724], [24.560803, 24.729129, 25.543429, 25.570314, 50.976717], [34.969657, 35.825721, 40.114693, 40.252207, 44.334037]]
### 2
mean: [0.933680, -0.948880, -0.357970, 1.598757, -0.159745, 2.159840, -0.792547]
std: [1.014235, 0.604959, 1.513432, 1.255395, 0.991587, 1.161813, 1.607776]
pca: [[-0.207596, 0.408291, 0.419567, -0.485747, -0.322309, 0.231394, -0.469882, 0.000000, 0.000000, 0.000000], [0.072033, -0.351912, 0.025627, -0.289409, 0.697220, 0.485296, -0.254810, 0.000000, 0.000000, 0.000000], [0.608928, 0.209631, 0.185531, 0.234722, -0.196075, 0.617845, 0.274895, 0.000000, 0.000000, 0.000000], [-0.411959, 0.253736, -0.463441, 0.517260, -0.007392, 0.410902, -0.338639, 0.000000, 0.000000, 0.000000], [-0.061169, 0.108548, 0.687902, 0.562306, 0.345145, -0.205492, -0.183648, 0.000000, 0.000000, 0.000000], [-0.250176, 0.635778, -0.035282, -0.199014, 0.448769, 0.019635, 0.539043, 0.000000, 0.000000, 0.000000], [-0.587266, -0.430272, 0.315679, 0.042951, -0.225793, 0.343161, 0.446928, 0.000000, 0.000000, 0.000000]]
fourier: [[15.247050, 16.665084, 17.568222, 19.249909, 84.031236], [9.563008, 9.975105, 10.308649, 11.308130, 85.399237], [24.942056, 27.110356, 27.220316, 31.304723, 32.217311], [21.430842, 23.388923, 24.701868, 24.928564, 143.888157], [14.377073, 15.193115, 16.809099, 17.747177, 18.869239], [18.825009, 19.005290, 19.007351, 20.976871, 194.385556], [24.367180, 28.803540, 29.382269, 29.752824, 71.329245]]
### 4
mean: [1.370835, -0.421807, -0.826690, -0.461329, 0.942572, 2.269523, 0.306465]
std: [1.186772, 0.207524, 0.447982, 0.264858, 0.664650, 1.054327, 0.376470]
pca: [[0.710328, -0.375818, -0.159725, -0.142890, 0.408396, -0.302000, 0.224220, 0.000000, 0.000000, 0.000000], [-0.092484, -0.145306, 0.050583, 0.328120, 0.473601, 0.702217, 0.377764, 0.000000, 0.000000, 0.000000], [-0.212337, 0.249585, -0.421908, 0.607355, 0.116362, -0.479911, 0.319186, 0.000000, 0.000000, 0.000000], [-0.116746, -0.139136, 0.372054, -0.183432, -0.387044, -0.148827, 0.789295, 0.000000, 0.000000, 0.000000], [0.164608, 0.765282, -0.239144, -0.456959, 0.143123, 0.170065, 0.268030, 0.000000, 0.000000, 0.000000], [0.632225, 0.277681, 0.219390, 0.502777, -0.430669, 0.190839, -0.019308, 0.000000, 0.000000, 0.000000], [-0.036879, 0.305341, 0.741739, 0.088294, 0.489501, -0.312862, -0.099705, 0.000000, 0.000000, 0.000000]]
fourier: [[17.361927, 18.342224, 18.913159, 20.787121, 123.375160], [3.163500, 3.551579, 3.670398, 3.930444, 37.962586], [6.079672, 6.170929, 6.906554, 8.103715, 74.402110], [3.939581, 4.607010, 4.908937, 5.757513, 41.519624], [11.123905, 12.160163, 12.274052, 13.095016, 84.831444], [17.287626, 18.174548, 18.427285, 18.988446, 204.257130], [6.099011, 6.288209, 6.897739, 7.875793, 27.581895]]
### 6
mean: [-1.240467, 0.856780, 0.949514, 2.121872, -0.517223, -0.055113, 0.569862]
std: [0.768343, 0.519045, 0.845526, 0.847278, 0.307741, 0.230738, 0.716360]
pca: [[-0.491182, -0.008298, -0.187859, 0.225055, -0.434022, -0.131762, 0.683370, 0.000000, 0.000000, 0.000000], [0.075605, 0.727372, 0.012202, 0.531950, -0.185863, 0.349526, -0.159312, 0.000000, 0.000000, 0.000000], [0.528947, -0.211341, 0.601980, 0.344506, -0.278994, -0.277626, 0.198927, 0.000000, 0.000000, 0.000000], [0.499244, 0.472306, -0.172145, -0.527440, -0.022016, -0.083813, 0.460810, 0.000000, 0.000000, 0.000000], [-0.186066, -0.054859, 0.557500, -0.293864, 0.010856, 0.705836, 0.258621, 0.000000, 0.000000, 0.000000], [0.140035, -0.092486, -0.125765, 0.417770, 0.758428, 0.132112, 0.434536, 0.000000, 0.000000, 0.000000], [0.412025, -0.437675, -0.495906, 0.092809, -0.351322, 0.510599, -0.000738, 0.000000, 0.000000, 0.000000]]
fourier: [[11.428427, 12.344972, 12.950963, 13.894685, 111.642005], [8.364775, 9.011068, 9.321861, 9.848536, 77.110192], [12.596493, 13.054457, 13.309923, 14.769080, 85.456233], [14.021517, 14.361913, 15.230510, 15.917874, 190.968445], [4.471481, 4.705651, 5.886239, 6.295457, 46.550024], [3.421189, 3.483183, 4.189054, 4.244738, 4.960168], [10.848876, 10.926803, 12.039456, 12.547235, 51.287568]]
### 8
mean: [1.242347, 0.945628, -0.820463, -0.918635, -0.647416, -1.272374, 0.961284]
std: [0.695197, 0.903013, 0.300344, 0.330385, 0.196045, 0.747094, 0.866629]
pca: [[-0.231660, 0.843083, 0.060250, 0.092763, -0.088417, 0.275664, 0.373498, 0.000000, 0.000000, 0.000000], [0.587711, -0.129707, -0.012335, -0.367095, -0.248768, 0.622035, 0.232481, 0.000000, 0.000000, 0.000000], [-0.195075, -0.000318, -0.492854, -0.215595, 0.725995, 0.370880, -0.089095, 0.000000, 0.000000, 0.000000], [-0.181078, -0.247955, -0.561686, -0.037636, -0.224164, -0.260093, 0.686239, 0.000000, 0.000000, 0.000000], [-0.082549, -0.206363, -0.234113, 0.788033, -0.201237, 0.465063, -0.134219, 0.000000, 0.000000, 0.000000], [-0.449818, -0.407658, 0.604234, -0.018153, 0.193379, 0.271480, 0.393641, 0.000000, 0.000000, 0.000000], [0.566511, 0.046196, 0.133845, 0.432911, 0.524487, -0.204687, 0.393219, 0.000000, 0.000000, 0.000000]]
fourier: [[10.158195, 10.504643, 12.079812, 12.264634, 111.811232], [13.313787, 13.948201, 14.205171, 15.643866, 85.106538], [4.584335, 4.790062, 4.963702, 5.151941, 73.841694], [5.156488, 5.457522, 5.504968, 6.210792, 82.677119], [2.938466, 3.157186, 3.570393, 3.884931, 58.267468], [11.304679, 12.514544, 13.150283, 13.678781, 114.513623], [12.636239, 13.253717, 14.232873, 15.398629, 86.515535]]
### 10
mean: [0.757030, 0.386141, -0.628993, 0.404633, 0.973127, 0.276673, 0.716372]
std: [0.355591, 0.775352, 0.321718, 0.686568, 0.627589, 0.591250, 0.321523]
pca: [[-0.206634, 0.522255, 0.030288, 0.613452, 0.437034, 0.334541, -0.066296, 0.000000, 0.000000, 0.000000], [0.546335, 0.175488, -0.087120, -0.323674, 0.564878, 0.023792, 0.488584, 0.000000, 0.000000, 0.000000], [-0.176976, -0.520928, -0.302255, 0.302740, -0.073194, 0.390122, 0.597287, 0.000000, 0.000000, 0.000000], [0.478483, 0.302705, -0.339025, 0.454237, -0.473800, -0.328499, 0.160486, 0.000000, 0.000000, 0.000000], [-0.435779, 0.308335, 0.432875, -0.058866, -0.151463, -0.363494, 0.607545, 0.000000, 0.000000, 0.000000], [0.418218, -0.002239, 0.671276, 0.070530, -0.327145, 0.509579, 0.052988, 0.000000, 0.000000, 0.000000], [-0.183696, 0.488244, -0.383672, -0.460966, -0.360701, 0.485397, 0.049642, 0.000000, 0.000000, 0.000000]]
fourier: [[5.291438, 5.315634, 6.153676, 6.257494, 68.132703], [11.956396, 11.996083, 12.098051, 12.339535, 34.752689], [4.734414, 5.081678, 5.500077, 5.858637, 56.609335], [10.449446, 10.574498, 10.714758, 11.074210, 36.417004], [9.478726, 9.502021, 9.604777, 10.947696, 87.581408], [8.626250, 9.067806, 9.192445, 9.777649, 24.900548], [4.821001, 4.859053, 5.534797, 5.679952, 64.473469]]
### 12
mean: [-0.741397]
std: [1.438504]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.592447, 20.663081, 21.367266, 25.337621, 66.725777]]
## 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": 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": [[-0.368691, 0.221581, -0.343565, 0.221652, 0.26547], [0.557502, 0.544047, -0.380127, -0.009779, 0.218739], [-0.589052, 0.080371, 0.205086, 0.185752, 0.319335], [-0.023361, -0.06397, -0.113527, -0.035422, -0.269976], [-0.04738, 0.474206, -0.742878, 0.36721, -0.62159], [0.230684, -0.27969, 0.29741, -0.120583, 0.408888], [0.454766, -0.240552, 0.468418, -0.737524, 0.365645]], "network.0.bias": [0.610639, 0.480901, 0.038561, -0.275613, 0.176545, -0.077977, 0.090037], "network.2.weight": [[0.180638, 0.21031, -0.590926, 0.01213, 0.480567, 0.174734, 0.324349], [-0.075252, -0.261132, -0.101788, 0.291465, -0.20414, -0.372254, 0.092263], [0.223059, 0.174059, -0.05871, 0.132446, 0.297207, -0.489509, -0.574163], [0.229951, 0.200333, 0.583983, 0.101988, -0.282233, 0.428312, 0.418531], [-0.398035, 0.437518, -0.428537, 0.017951, -0.008112, -0.241545, -0.068958], [0.397599, 0.320138, 0.152078, -0.058917, 0.431, 0.08289, 0.598987], [-0.459056, -0.089376, -0.560223, 0.004435, -0.530957, 0.397863, 0.313111]], "network.2.bias": [0.262665, -0.024734, -0.030393, -0.080617, 0.117424, 0.248034, -0.025357], "network.4.weight": [[0.586814, 0.158328, 0.395527, -0.173668, -0.251577, 0.391502, 0.590625], [-0.260047, -0.135747, -0.091939, -0.22665, 0.026501, 0.081556, 0.29625], [-0.255325, -0.079406, -0.186988, 0.165868, 0.334281, -0.237242, 0.033273], [0.127918, 0.079845, 0.107362, 0.007124, -0.209681, -0.187651, -0.182129], [-0.292049, 0.165203, -0.165858, 0.351038, 0.30562, 0.450008, -0.467314], [0.403169, 0.068199, 0.119424, 0.241756, -0.523696, 0.473943, 0.058586], [-0.333572, 0.075535, 0.323339, 0.234888, -0.132157, 0.062484, -0.152205]], "network.4.bias": [0.003061, -0.034871, -0.376417, -0.115417, -0.212813, 0.567257, 0.100104], "network.6.weight": [[-0.342693, 0.262069, -0.215816, -0.19365, -0.046836, -0.352345, 0.071822], [-0.007671, 0.183047, 0.146713, -0.237404, 0.694727, -0.032742, 0.368598], [0.626593, 0.13671, 0.273749, 0.292241, 0.037341, 0.090672, -0.130132], [0.100322, 0.308645, 0.262976, -0.33039, 0.313867, 0.578974, 0.119133], [-0.140655, 0.098793, -0.308335, 0.109628, 0.09253, -0.158537, -0.39154], [0.227206, 0.111597, 0.060798, -0.209992, -0.077587, -0.018409, 0.188731], [0.409641, -0.127772, -0.031388, 0.038287, -0.523659, 0.299732, 0.207445]], "network.6.bias": [0.048324, 0.159567, -0.10551, 0.333394, 0.083304, -0.316797, -0.249942], "network.8.weight": [[-0.273137, 0.625193, -0.373467, 0.474325, -0.285208, -0.190409, -0.471253], [0.284054, -0.153655, 0.612137, 0.024358, -0.412464, -0.041476, 0.542533], [-0.02429, 0.34979, -0.265491, -0.281954, 0.299235, -0.055554, 0.184059], [0.147478, 0.098013, -0.269556, -0.347596, -0.351734, -0.079658, 0.286398], [-0.363146, -0.327236, -0.203682, 0.061247, 0.224162, 0.218267, -0.050632], [0.062032, -0.364121, -0.181516, -0.29384, 0.022224, 0.125205, -0.522934], [0.101427, -0.342046, 0.51516, 0.392994, -0.330755, 0.279804, 0.175245]], "network.8.bias": [0.340413, 0.132145, -0.373059, -0.170223, -0.288075, 0.130941, -0.188178], "network.10.weight": [[0.501365, -0.050288, 0.105804, 0.040559, 0.137617, -0.215053, 0.042177], [-0.4075, 0.317018, -0.319995, 0.176702, -0.316369, -0.257091, 0.35296], [-0.157422, -0.233294, 0.259768, -0.207705, -0.086269, 0.06168, -0.180502], [-0.28112, 0.236585, 0.333222, 0.29511, -0.053928, 0.282804, 0.409661], [0.606774, -0.116327, 0.254927, -0.033226, 0.208435, 0.119143, -0.22753], [-0.357674, 0.394996, 0.138063, -0.348689, -0.085389, -0.2066, 0.068481], [0.44042, -0.135823, -0.067234, 0.187349, 0.008644, 0.023355, 0.134404]], "network.10.bias": [0.139863, 0.254352, -0.038858, 0.137069, 0.546452, 0.282571, 0.167318], "network.12.weight": [[-0.359345, 0.578656, 0.333995, 0.493476, -0.699769, 0.431104, -0.329497]], "network.12.bias": [-0.179722]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6863785982131958, "train_acc": 0.6, "val_loss": 0.7054492235183716, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6776805520057678, "train_acc": 0.6, "val_loss": 0.7129499912261963, "val_acc": 0.4}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6729434430599213, "train_acc": 0.6, "val_loss": 0.7042407989501953, "val_acc": 0.4}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6452654302120209, "train_acc": 0.645, "val_loss": 0.6607380509376526, "val_acc": 0.64}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6240986585617065, "train_acc": 0.73, "val_loss": 0.6042463779449463, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5750799179077148, "train_acc": 0.75, "val_loss": 0.5019309520721436, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5067948698997498, "train_acc": 0.785, "val_loss": 0.42421045899391174, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4405355304479599, "train_acc": 0.815, "val_loss": 0.37887245416641235, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3551824539899826, "train_acc": 0.87, "val_loss": 0.2903207242488861, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3465845137834549, "train_acc": 0.895, "val_loss": 0.23511947691440582, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.25294193625450134, "train_acc": 0.92, "val_loss": 0.22450976073741913, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.23964374512434006, "train_acc": 0.895, "val_loss": 0.19317328929901123, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.2039688304066658, "train_acc": 0.935, "val_loss": 0.1427881419658661, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.14088214933872223, "train_acc": 0.94, "val_loss": 0.1319938451051712, "val_acc": 0.98}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7054492235183716, "final_val_loss": 0.6607380509376526, "initial_val_acc": 0.4, "final_val_acc": 0.64, "best_val_acc": 0.64}, "improved_stage": {"initial_val_loss": 0.6042463779449463, "final_val_loss": 0.1319938451051712, "initial_val_acc": 0.72, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 9}, "improvement": 0.33999999999999997, "first_improvement_epoch": 3}}
|
9,693
|
{"target_pattern": "increasing_pairs", "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": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4537, "learning_rate": 0.02271926739482722, "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: 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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"network.8.weight": [
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"network.10.bias": [
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}
## Activation Signature
### 0
mean: [1.611861, -0.550492, 2.558878, -0.469442, 0.614371, 0.576833]
std: [1.512797, 1.595038, 2.144348, 1.306142, 1.254544, 0.914221]
pca: [[0.519352, 0.135196, 0.465331, -0.123740, 0.259262, 0.642600, 0.000000, 0.000000, 0.000000, 0.000000], [-0.302813, 0.560909, 0.685692, -0.034046, -0.109222, -0.332299, 0.000000, 0.000000, 0.000000, 0.000000], [0.610935, 0.574655, -0.364242, -0.042170, -0.334468, -0.224076, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249410, 0.458608, -0.258269, 0.682459, 0.334173, 0.288701, 0.000000, 0.000000, 0.000000, 0.000000], [0.315983, -0.344831, 0.332248, 0.714374, -0.377784, -0.133442, 0.000000, 0.000000, 0.000000, 0.000000], [0.321381, -0.087430, 0.059415, 0.075301, 0.744710, -0.570331, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.412999, 23.651977, 27.721433, 28.117577, 145.067540], [25.228943, 27.664031, 30.831045, 33.009219, 49.544231], [35.014214, 37.045498, 38.020406, 38.301504, 230.299003], [21.000365, 21.388977, 22.486664, 22.555101, 42.249777], [18.740137, 19.755140, 22.233030, 29.203861, 55.293366], [13.790977, 14.341521, 18.164775, 20.211656, 51.915015]]
### 2
mean: [1.007671, 2.066042, 1.771141, 1.266746, 1.838275, 2.128137]
std: [1.316363, 1.776664, 1.056753, 1.123142, 1.366357, 1.769873]
pca: [[0.326652, 0.776647, 0.350726, 0.131179, -0.295909, -0.249679, 0.000000, 0.000000, 0.000000, 0.000000], [0.525764, -0.071198, -0.495767, 0.662295, 0.166611, -0.079523, 0.000000, 0.000000, 0.000000, 0.000000], [0.270561, -0.528561, 0.567640, 0.290065, -0.450990, 0.194099, 0.000000, 0.000000, 0.000000, 0.000000], [0.328927, 0.221682, 0.157692, -0.123950, 0.401019, 0.801010, 0.000000, 0.000000, 0.000000, 0.000000], [0.400164, -0.228965, 0.363223, -0.274765, 0.572901, -0.501799, 0.000000, 0.000000, 0.000000, 0.000000], [0.524732, -0.103949, -0.390119, -0.607585, -0.438469, 0.015590, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.411923, 20.012330, 25.579321, 27.159616, 90.690369], [27.359360, 28.791813, 34.605974, 34.989970, 185.943774], [17.103931, 17.802284, 18.598146, 20.669632, 159.402664], [17.659791, 18.667422, 20.761775, 22.648922, 114.007140], [22.509516, 22.668401, 25.059999, 25.660189, 165.444764], [29.068627, 29.158036, 32.792598, 34.769758, 191.532263]]
### 4
mean: [1.990308, 4.053771, 1.603500, 3.301346, 3.721179, 2.285846]
std: [2.293052, 3.272747, 1.723368, 2.923477, 3.383259, 1.273981]
pca: [[0.359557, -0.428092, 0.309349, 0.600930, -0.473708, -0.079008, 0.000000, 0.000000, 0.000000, 0.000000], [0.515761, -0.144515, -0.325918, 0.302105, 0.637296, 0.330864, 0.000000, 0.000000, 0.000000, 0.000000], [0.269000, -0.407115, -0.543030, -0.345542, -0.124763, -0.576238, 0.000000, 0.000000, 0.000000, 0.000000], [0.460867, 0.082449, -0.047336, -0.475904, -0.457035, 0.585831, 0.000000, 0.000000, 0.000000, 0.000000], [0.532532, 0.302121, 0.571545, -0.246391, 0.260592, -0.412132, 0.000000, 0.000000, 0.000000, 0.000000], [0.190683, 0.729408, -0.417487, 0.375530, -0.277668, -0.197956, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.394925, 37.571972, 43.590333, 45.815430, 179.127744], [49.233935, 54.285619, 62.473392, 65.628427, 364.839472], [26.954587, 28.220286, 31.978381, 36.103210, 144.315007], [43.824820, 48.496395, 56.175711, 58.448194, 297.121116], [52.581452, 56.041188, 65.609699, 66.101734, 334.906076], [20.717250, 21.183388, 22.659302, 23.906010, 205.726147]]
### 6
mean: [-0.742305, 6.772130, -1.551459, -2.158702, -2.858860, -1.205665]
std: [1.001038, 5.546453, 2.229178, 2.556358, 4.083176, 1.946886]
pca: [[-0.124955, -0.145339, 0.620184, 0.734912, 0.195791, 0.014307, 0.000000, 0.000000, 0.000000, 0.000000], [0.695024, 0.639704, 0.131559, 0.135228, -0.025410, 0.267359, 0.000000, 0.000000, 0.000000, 0.000000], [-0.279610, 0.066019, 0.498006, -0.517624, 0.191880, 0.603902, 0.000000, 0.000000, 0.000000, 0.000000], [-0.320681, 0.077335, -0.493562, 0.414071, -0.186635, 0.664298, 0.000000, 0.000000, 0.000000, 0.000000], [-0.511083, 0.626667, 0.190506, 0.005278, -0.461509, -0.311081, 0.000000, 0.000000, 0.000000, 0.000000], [-0.243114, 0.408171, -0.264873, 0.046916, 0.822422, -0.159857, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.473356, 16.491918, 19.324861, 19.652805, 66.807418], [84.467846, 92.173359, 107.097085, 109.572751, 609.491635], [33.181011, 36.669043, 42.774037, 44.536735, 139.631306], [37.787171, 42.027080, 48.546366, 51.224735, 194.283157], [61.726372, 66.283951, 76.910883, 82.338100, 257.297413], [30.403243, 31.456710, 36.321095, 39.574017, 108.509888]]
### 8
mean: [2.936271, 0.449586, 2.847161, 2.590422, 1.161100, -1.073314]
std: [2.824297, 0.513080, 2.233997, 2.673881, 0.545375, 0.423960]
pca: [[0.627169, -0.190132, -0.348854, 0.603070, 0.258055, -0.136099, 0.000000, 0.000000, 0.000000, 0.000000], [-0.068938, 0.512724, -0.303970, 0.052493, 0.381517, 0.701180, 0.000000, 0.000000, 0.000000, 0.000000], [0.486335, 0.572587, -0.060986, -0.498356, 0.102752, -0.415916, 0.000000, 0.000000, 0.000000, 0.000000], [0.592023, -0.313924, 0.267074, -0.331441, -0.239788, 0.558821, 0.000000, 0.000000, 0.000000, 0.000000], [0.102919, 0.358849, 0.814034, 0.430406, 0.112624, 0.007110, 0.000000, 0.000000, 0.000000, 0.000000], [-0.065580, -0.381821, 0.219553, -0.300148, 0.840899, -0.067139, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.983380, 48.806244, 57.112437, 58.237637, 264.264365], [7.405254, 7.682982, 8.761471, 10.036735, 40.462771], [34.200101, 36.320113, 42.023873, 43.477598, 256.244491], [40.968804, 46.512920, 54.125459, 55.530923, 233.137996], [8.984781, 9.112777, 9.169857, 9.431953, 104.498953], [6.601256, 7.460307, 7.542597, 7.702996, 96.598237]]
### 10
mean: [-3.379605]
std: [3.203025]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[47.153370, 55.900387, 64.888391, 66.031338, 304.164452]]
## 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.19609,
0.066759,
0.251872,
-0.319822
],
[
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0.402926,
-0.423318,
0.2055
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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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0.196047,
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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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0.3085
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[
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[
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]
],
"network.6.bias": [
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0.486925,
0.54835,
0.610395,
0.475389
],
"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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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [1.611861, -0.550492, 2.558878, -0.469442, 0.614371, 0.576833]
std: [1.512797, 1.595038, 2.144348, 1.306142, 1.254544, 0.914221]
pca: [[0.519352, 0.135196, 0.465331, -0.123740, 0.259262, 0.642600, 0.000000, 0.000000, 0.000000, 0.000000], [-0.302813, 0.560909, 0.685692, -0.034046, -0.109222, -0.332299, 0.000000, 0.000000, 0.000000, 0.000000], [0.610935, 0.574655, -0.364242, -0.042170, -0.334468, -0.224076, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249410, 0.458608, -0.258269, 0.682459, 0.334173, 0.288701, 0.000000, 0.000000, 0.000000, 0.000000], [0.315983, -0.344831, 0.332248, 0.714374, -0.377784, -0.133442, 0.000000, 0.000000, 0.000000, 0.000000], [0.321381, -0.087430, 0.059415, 0.075301, 0.744710, -0.570331, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.412999, 23.651977, 27.721433, 28.117577, 145.067540], [25.228943, 27.664031, 30.831045, 33.009219, 49.544231], [35.014214, 37.045498, 38.020406, 38.301504, 230.299003], [21.000365, 21.388977, 22.486664, 22.555101, 42.249777], [18.740137, 19.755140, 22.233030, 29.203861, 55.293366], [13.790977, 14.341521, 18.164775, 20.211656, 51.915015]]
### 2
mean: [1.007671, 2.066042, 1.771141, 1.266746, 1.838275, 2.128137]
std: [1.316363, 1.776664, 1.056753, 1.123142, 1.366357, 1.769873]
pca: [[0.326652, 0.776647, 0.350726, 0.131179, -0.295909, -0.249679, 0.000000, 0.000000, 0.000000, 0.000000], [0.525764, -0.071198, -0.495767, 0.662295, 0.166611, -0.079523, 0.000000, 0.000000, 0.000000, 0.000000], [0.270561, -0.528561, 0.567640, 0.290065, -0.450990, 0.194099, 0.000000, 0.000000, 0.000000, 0.000000], [0.328927, 0.221682, 0.157692, -0.123950, 0.401019, 0.801010, 0.000000, 0.000000, 0.000000, 0.000000], [0.400164, -0.228965, 0.363223, -0.274765, 0.572901, -0.501799, 0.000000, 0.000000, 0.000000, 0.000000], [0.524732, -0.103949, -0.390119, -0.607585, -0.438469, 0.015590, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.411923, 20.012330, 25.579321, 27.159616, 90.690369], [27.359360, 28.791813, 34.605974, 34.989970, 185.943774], [17.103931, 17.802284, 18.598146, 20.669632, 159.402664], [17.659791, 18.667422, 20.761775, 22.648922, 114.007140], [22.509516, 22.668401, 25.059999, 25.660189, 165.444764], [29.068627, 29.158036, 32.792598, 34.769758, 191.532263]]
### 4
mean: [1.990308, 4.053771, 1.603500, 3.301346, 3.721179, 2.285846]
std: [2.293052, 3.272747, 1.723368, 2.923477, 3.383259, 1.273981]
pca: [[0.359557, -0.428092, 0.309349, 0.600930, -0.473708, -0.079008, 0.000000, 0.000000, 0.000000, 0.000000], [0.515761, -0.144515, -0.325918, 0.302105, 0.637296, 0.330864, 0.000000, 0.000000, 0.000000, 0.000000], [0.269000, -0.407115, -0.543030, -0.345542, -0.124763, -0.576238, 0.000000, 0.000000, 0.000000, 0.000000], [0.460867, 0.082449, -0.047336, -0.475904, -0.457035, 0.585831, 0.000000, 0.000000, 0.000000, 0.000000], [0.532532, 0.302121, 0.571545, -0.246391, 0.260592, -0.412132, 0.000000, 0.000000, 0.000000, 0.000000], [0.190683, 0.729408, -0.417487, 0.375530, -0.277668, -0.197956, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.394925, 37.571972, 43.590333, 45.815430, 179.127744], [49.233935, 54.285619, 62.473392, 65.628427, 364.839472], [26.954587, 28.220286, 31.978381, 36.103210, 144.315007], [43.824820, 48.496395, 56.175711, 58.448194, 297.121116], [52.581452, 56.041188, 65.609699, 66.101734, 334.906076], [20.717250, 21.183388, 22.659302, 23.906010, 205.726147]]
### 6
mean: [-0.742305, 6.772130, -1.551459, -2.158702, -2.858860, -1.205665]
std: [1.001038, 5.546453, 2.229178, 2.556358, 4.083176, 1.946886]
pca: [[-0.124955, -0.145339, 0.620184, 0.734912, 0.195791, 0.014307, 0.000000, 0.000000, 0.000000, 0.000000], [0.695024, 0.639704, 0.131559, 0.135228, -0.025410, 0.267359, 0.000000, 0.000000, 0.000000, 0.000000], [-0.279610, 0.066019, 0.498006, -0.517624, 0.191880, 0.603902, 0.000000, 0.000000, 0.000000, 0.000000], [-0.320681, 0.077335, -0.493562, 0.414071, -0.186635, 0.664298, 0.000000, 0.000000, 0.000000, 0.000000], [-0.511083, 0.626667, 0.190506, 0.005278, -0.461509, -0.311081, 0.000000, 0.000000, 0.000000, 0.000000], [-0.243114, 0.408171, -0.264873, 0.046916, 0.822422, -0.159857, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.473356, 16.491918, 19.324861, 19.652805, 66.807418], [84.467846, 92.173359, 107.097085, 109.572751, 609.491635], [33.181011, 36.669043, 42.774037, 44.536735, 139.631306], [37.787171, 42.027080, 48.546366, 51.224735, 194.283157], [61.726372, 66.283951, 76.910883, 82.338100, 257.297413], [30.403243, 31.456710, 36.321095, 39.574017, 108.509888]]
### 8
mean: [2.936271, 0.449586, 2.847161, 2.590422, 1.161100, -1.073314]
std: [2.824297, 0.513080, 2.233997, 2.673881, 0.545375, 0.423960]
pca: [[0.627169, -0.190132, -0.348854, 0.603070, 0.258055, -0.136099, 0.000000, 0.000000, 0.000000, 0.000000], [-0.068938, 0.512724, -0.303970, 0.052493, 0.381517, 0.701180, 0.000000, 0.000000, 0.000000, 0.000000], [0.486335, 0.572587, -0.060986, -0.498356, 0.102752, -0.415916, 0.000000, 0.000000, 0.000000, 0.000000], [0.592023, -0.313924, 0.267074, -0.331441, -0.239788, 0.558821, 0.000000, 0.000000, 0.000000, 0.000000], [0.102919, 0.358849, 0.814034, 0.430406, 0.112624, 0.007110, 0.000000, 0.000000, 0.000000, 0.000000], [-0.065580, -0.381821, 0.219553, -0.300148, 0.840899, -0.067139, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.983380, 48.806244, 57.112437, 58.237637, 264.264365], [7.405254, 7.682982, 8.761471, 10.036735, 40.462771], [34.200101, 36.320113, 42.023873, 43.477598, 256.244491], [40.968804, 46.512920, 54.125459, 55.530923, 233.137996], [8.984781, 9.112777, 9.169857, 9.431953, 104.498953], [6.601256, 7.460307, 7.542597, 7.702996, 96.598237]]
### 10
mean: [-3.379605]
std: [3.203025]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[47.153370, 55.900387, 64.888391, 66.031338, 304.164452]]
## 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": [7.405254143931663, 7.682981644421721, 8.761470639893696, 10.036734997585398, 40.462771236896515]}, "2": {"mean": 2.847161293029785, "std": 2.233996868133545, "pca": [0.4863353967666626, 0.5725868344306946, -0.06098552420735359, -0.4983564615249634, 0.10275190323591232, -0.41591566801071167, 0.0, 0.0, 0.0, 0.0], "fourier": [34.200101309417434, 36.320112871552084, 42.023873001969676, 43.4775977463286, 256.24449092149734]}, "3": {"mean": 2.5904221534729004, "std": 2.6738805770874023, "pca": [0.5920228958129883, -0.31392404437065125, 0.26707422733306885, -0.331440806388855, -0.23978841304779053, 0.5588205456733704, 0.0, 0.0, 0.0, 0.0], "fourier": [40.96880434318364, 46.512920238250885, 54.125459363914366, 55.530923059461095, 233.1379955559969]}, "4": {"mean": 1.1610995531082153, "std": 0.545375406742096, "pca": [0.10291854292154312, 0.3588486611843109, 0.814034104347229, 0.43040594458580017, 0.11262354999780655, 0.007110483478754759, 0.0, 0.0, 0.0, 0.0], "fourier": [8.984781387484546, 9.112777185320903, 9.16985681141983, 9.43195323426199, 104.4989527463913]}, "5": {"mean": -1.0733137130737305, "std": 0.42396003007888794, "pca": [-0.06557950377464294, -0.3818214535713196, 0.21955275535583496, -0.3001483678817749, 0.8408992886543274, -0.06713920831680298, 0.0, 0.0, 0.0, 0.0], "fourier": [6.601255944732752, 7.4603065325429405, 7.542596830571985, 7.702996283579798, 96.59823659062386]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -3.3796048164367676, "std": 3.2030246257781982, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [47.15336992635139, 55.9003869120911, 64.88839148721044, 66.03133800501384, 304.16445177048445]}}, "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": "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": [[0.587847, 0.19609, 0.066759, 0.251872, -0.319822], [0.131108, -0.44727, 0.402926, -0.423318, 0.2055], [0.466073, 0.553717, 0.530967, -0.049258, -0.339547], [-0.160751, 0.034732, 0.295779, -0.567268, 0.224274], [0.303499, 0.251394, -0.486827, 0.246831, -0.140367], [0.250449, 0.22275, -0.104527, 0.204883, -0.200299]], "network.0.bias": [0.237869, -0.085958, 0.385153, -0.010665, 0.439318, -0.114716], "network.2.weight": [[0.461539, -0.522712, 0.064247, 0.107297, 0.279849, 0.257119], [0.401516, 0.181183, 0.329288, 0.65891, 0.53121, 0.357154], [-0.109023, -0.180806, 0.559744, 0.545328, 0.089302, -0.130992], [0.276349, -0.121485, 0.237735, 0.114352, 0.234183, 0.159169], [0.129218, -0.031443, 0.485893, 0.317644, 0.101879, 0.193835], [0.619401, 0.20646, 0.311007, 0.493257, 0.371765, 0.070402]], "network.2.bias": [-0.138242, -0.212014, 0.454717, -0.039545, 0.145415, -0.120563], "network.4.weight": [[0.363384, 0.28655, -0.328261, 0.251559, 0.371778, 0.486745], [0.643864, 0.339251, 0.240938, 0.461668, 0.302553, 0.430955], [0.612516, 0.343696, 0.077075, 0.19444, 0.14304, -0.050223], [0.462871, 0.569747, 0.280472, 0.319636, 0.302898, 0.189488], [0.328112, 0.539206, 0.348719, 0.300479, 0.196047, 0.618346], [-0.105286, 0.032267, 0.356723, 0.273434, 0.562865, -0.085519]], "network.4.bias": [-0.367965, 0.335639, -0.220563, -0.096405, -0.271775, 0.589433], "network.6.weight": [[0.081609, 0.508472, -0.234653, -0.285168, -0.515688, 0.100629], [0.224416, 0.434814, 0.113766, 0.19519, 0.718528, 0.3085], [-0.141894, 0.114365, -0.107984, -0.214279, -0.548032, 0.30787], [-0.254282, -0.209607, -0.343495, -0.003566, -0.180267, -0.064488], [-0.589611, 0.225652, -0.519693, -0.469747, -0.573444, 0.575017], [-0.3284, -0.006372, -0.255947, -0.352922, -0.010298, 0.267292]], "network.6.bias": [0.037602, 0.425476, 0.486925, 0.54835, 0.610395, 0.475389], "network.8.weight": [[-0.643439, 0.429057, -0.765927, -0.47217, -0.241296, -0.765189], [0.144134, 0.013199, 0.283153, 0.46907, 0.606018, 0.463384], [0.014659, 0.417496, 0.020788, 0.297402, 0.200348, 0.164528], [-0.310131, 0.385898, -0.521666, -0.528888, -0.714984, -0.717915], [0.113761, 0.1206, -0.053381, -0.169579, 0.302418, 0.676761], [0.169022, -0.093569, -0.022195, -0.381697, -0.333858, -0.512133]], "network.8.bias": [0.28547, 0.108601, -0.044939, 0.326654, 0.215511, -0.28499], "network.10.weight": [[-0.530787, 0.373704, -0.094204, -0.606302, 0.036988, -0.3767]], "network.10.bias": [-0.042643]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6854525804519653, "train_acc": 0.57, "val_loss": 0.7009353041648865, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6808721721172333, "train_acc": 0.57, "val_loss": 0.6912051439285278, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6750188767910004, "train_acc": 0.57, "val_loss": 0.6779944896697998, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6577790379524231, "train_acc": 0.57, "val_loss": 0.6642237901687622, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6549732387065887, "train_acc": 0.5, "val_loss": 0.628166913986206, "val_acc": 0.5}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6204002499580383, "train_acc": 0.64, "val_loss": 0.5614465475082397, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5343855023384094, "train_acc": 0.885, "val_loss": 0.4822530448436737, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.42422954738140106, "train_acc": 0.865, "val_loss": 0.39774665236473083, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3548372834920883, "train_acc": 0.9, "val_loss": 0.3370426595211029, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.31066739559173584, "train_acc": 0.91, "val_loss": 0.33774444460868835, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.26638656854629517, "train_acc": 0.915, "val_loss": 0.32269957661628723, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.2350064218044281, "train_acc": 0.925, "val_loss": 0.3146936893463135, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.22131609916687012, "train_acc": 0.925, "val_loss": 0.46418190002441406, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.23883146047592163, "train_acc": 0.915, "val_loss": 0.3636029362678528, "val_acc": 0.88}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7009353041648865, "final_val_loss": 0.6642237901687622, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.628166913986206, "final_val_loss": 0.3636029362678528, "initial_val_acc": 0.5, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 8}, "improvement": 0.38, "first_improvement_epoch": 3}}
|
9,694
|
{"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": "gelu", "dropout_rate": 0.0, "random_seed": 9257, "learning_rate": 0.08548728037064376, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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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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0.429337,
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[
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1.118357,
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"network.8.bias": [
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"network.10.weight": [
[
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0.424224,
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-0.292618,
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]
],
"network.10.bias": [
0.344497
]
}
## Activation Signature
### 0
mean: [1.316715, 3.844851, -4.851127, 0.126903, 1.325771, -1.627591, -1.865504, -2.700601]
std: [2.689998, 3.328056, 3.151931, 1.782474, 1.957018, 1.929394, 2.369055, 2.950390]
pca: [[0.333152, -0.477315, 0.317838, -0.426492, -0.494787, -0.030629, 0.281952, -0.230248, 0.000000, 0.000000], [0.532870, 0.002291, 0.167377, 0.666579, 0.182158, 0.195633, 0.304320, -0.282201, 0.000000, 0.000000], [-0.470993, -0.394093, 0.211544, -0.029780, 0.562505, -0.252690, 0.294131, -0.332328, 0.000000, 0.000000], [-0.000635, 0.434775, 0.480419, -0.189542, 0.050964, 0.076159, -0.459271, -0.570013, 0.000000, 0.000000], [0.083066, 0.570782, -0.163629, -0.129301, -0.091818, -0.578157, 0.507377, -0.153907, 0.000000, 0.000000], [-0.128602, 0.227587, 0.724184, 0.020953, 0.016484, 0.069003, 0.260769, 0.577712, 0.000000, 0.000000], [-0.363592, -0.121490, 0.154783, 0.565246, -0.553923, -0.395770, -0.190894, -0.098360, 0.000000, 0.000000], [-0.477060, 0.188358, -0.142253, 0.017409, -0.295740, 0.628870, 0.410581, -0.254715, 0.000000, 0.000000]]
fourier: [[44.130490, 44.689944, 46.675102, 53.024123, 118.504389], [54.386781, 54.914486, 67.769316, 71.008701, 346.036667], [52.745250, 54.299225, 58.989454, 59.374396, 436.601462], [25.024992, 26.445710, 28.100354, 28.226410, 31.430697], [29.390974, 29.504595, 32.653307, 34.535150, 119.319381], [30.204139, 31.286453, 34.037854, 36.692604, 146.483192], [39.885394, 40.421009, 43.279007, 52.680659, 167.895338], [49.964629, 56.578060, 58.071059, 60.651995, 243.054039]]
### 2
mean: [-3.812808, -3.921659, 2.309525, -4.494484, -4.634215, 0.864388, -5.209083, -5.026010]
std: [3.799757, 3.844404, 2.154023, 4.510663, 4.603854, 2.997917, 4.822336, 3.742896]
pca: [[0.357693, 0.072262, -0.578252, -0.314977, 0.099281, -0.174229, -0.289656, -0.556000, 0.000000, 0.000000], [0.360383, -0.173363, 0.224282, 0.650439, -0.424501, -0.087035, -0.037702, -0.421305, 0.000000, 0.000000], [-0.177709, 0.332119, -0.176292, -0.055853, -0.341428, -0.563937, 0.620687, -0.063780, 0.000000, 0.000000], [0.428218, -0.005673, -0.211755, -0.194547, -0.322842, 0.637196, 0.460433, 0.108001, 0.000000, 0.000000], [0.437348, -0.017062, 0.006345, -0.169720, -0.372888, -0.374279, -0.361834, 0.607896, 0.000000, 0.000000], [0.079307, 0.902402, 0.266308, 0.029245, -0.060125, 0.205484, -0.236203, -0.077303, 0.000000, 0.000000], [0.455063, 0.163025, -0.157622, 0.420767, 0.633146, -0.149549, 0.274886, 0.256221, 0.000000, 0.000000], [0.350119, -0.114854, 0.666032, -0.479630, 0.213560, -0.182627, 0.234837, -0.237639, 0.000000, 0.000000]]
fourier: [[63.749458, 75.531041, 77.798471, 86.621056, 343.152699], [64.972482, 67.492724, 83.128079, 84.934807, 352.949230], [38.128727, 39.333996, 41.410437, 46.278948, 207.857271], [75.623460, 85.908685, 95.379097, 102.678517, 404.503541], [77.376177, 86.601833, 97.230621, 103.387590, 417.079353], [43.537817, 45.752042, 50.589609, 69.092699, 77.794929], [76.856006, 92.872596, 99.871545, 106.826804, 468.817508], [63.612723, 64.487661, 77.838613, 81.143539, 452.340879]]
### 4
mean: [-0.151166, 0.167730, -0.282605, -0.710203, -1.058158, -0.998070, 1.585341, -0.796763]
std: [1.266996, 0.939012, 1.535042, 1.642373, 1.310826, 1.349156, 1.765251, 0.557075]
pca: [[-0.086497, 0.593767, 0.100890, 0.109625, 0.099579, -0.561564, 0.330510, -0.428083, 0.000000, 0.000000], [0.083751, 0.429987, -0.131636, 0.221624, -0.062510, -0.262851, -0.177914, 0.798123, 0.000000, 0.000000], [-0.464785, -0.218168, -0.396892, -0.347248, -0.499364, -0.442960, -0.111956, -0.012676, 0.000000, 0.000000], [-0.507319, -0.211717, -0.338576, 0.226343, 0.532497, 0.042027, 0.452329, 0.204982, 0.000000, 0.000000], [-0.326700, 0.405536, -0.058103, 0.166746, -0.525478, 0.588695, 0.272449, -0.026629, 0.000000, 0.000000], [-0.345905, -0.313341, 0.588209, 0.578706, -0.204269, -0.199065, -0.138125, 0.029079, 0.000000, 0.000000], [0.528475, -0.325898, -0.203131, 0.290702, -0.366051, -0.172186, 0.568214, 0.047183, 0.000000, 0.000000], [-0.080237, -0.035762, 0.556515, -0.565544, -0.037579, -0.041692, 0.475184, 0.365766, 0.000000, 0.000000]]
fourier: [[18.926366, 21.631713, 22.626001, 22.754391, 24.635062], [14.650941, 14.716402, 15.095729, 15.263906, 17.633086], [24.466583, 25.117413, 25.241031, 25.434483, 36.920747], [26.200704, 26.231685, 26.440593, 39.449261, 63.918246], [20.829673, 21.073516, 22.354005, 22.960283, 95.234238], [21.410667, 21.833064, 22.207901, 23.068131, 89.826291], [26.912837, 28.102840, 30.094399, 32.279952, 142.680662], [9.168848, 9.206024, 9.238723, 10.141713, 71.708677]]
### 6
mean: [0.411040, 0.556260, -1.087615, 0.497336, 0.845183, -0.887994, -0.474602, -0.575118]
std: [1.573951, 0.663222, 1.125598, 1.264788, 1.777174, 1.724285, 1.378225, 1.107106]
pca: [[0.367249, 0.481289, 0.115996, -0.156108, -0.126384, 0.311698, -0.280480, 0.635506, 0.000000, 0.000000], [-0.031019, 0.281956, -0.009820, 0.916907, 0.199844, -0.142409, -0.091582, 0.100587, 0.000000, 0.000000], [-0.313532, 0.250879, 0.163832, -0.157756, 0.705102, 0.462048, -0.151863, -0.230890, 0.000000, 0.000000], [-0.341828, -0.277391, -0.494550, 0.187208, -0.166252, 0.617145, 0.184820, 0.289683, 0.000000, 0.000000], [0.487376, 0.410437, -0.325331, 0.043033, -0.093568, 0.266485, 0.403322, -0.493838, 0.000000, 0.000000], [-0.464753, 0.412294, 0.364590, -0.058617, -0.211070, -0.081127, 0.634822, 0.153378, 0.000000, 0.000000], [-0.385395, 0.309011, -0.047280, 0.013096, -0.557947, 0.074648, -0.537596, -0.384303, 0.000000, 0.000000], [0.216695, -0.339181, 0.688496, 0.263663, -0.233817, 0.452813, 0.032336, -0.183573, 0.000000, 0.000000]]
fourier: [[21.343970, 23.555667, 29.670666, 36.993589, 38.153133], [9.671854, 12.105237, 12.245740, 12.976408, 50.063354], [17.439382, 18.181666, 20.730759, 21.454071, 97.885319], [19.588436, 20.477226, 21.006538, 26.354722, 44.760260], [26.887669, 28.056067, 28.778608, 38.243201, 76.066484], [28.027751, 28.169552, 32.829970, 33.109356, 79.919424], [21.748150, 22.412881, 23.659786, 24.045905, 42.714190], [16.891236, 17.807305, 19.382680, 19.408847, 51.760580]]
### 8
mean: [1.375338, 0.505094, 0.488120, 0.951084, -0.146738, 0.019650, 0.748335, 1.314132]
std: [2.453240, 2.395030, 2.244342, 3.262195, 1.867481, 1.980129, 1.419730, 3.703175]
pca: [[0.337754, 0.462891, 0.685059, -0.212212, -0.049951, -0.351352, -0.025892, 0.175217, 0.000000, 0.000000], [-0.325892, 0.568228, -0.352897, -0.319047, 0.442248, 0.048833, -0.222714, 0.311472, 0.000000, 0.000000], [-0.312449, 0.401019, -0.267251, 0.376253, -0.492183, -0.494998, 0.193927, -0.060792, 0.000000, 0.000000], [0.467027, 0.103334, -0.201852, 0.430121, -0.110160, 0.277733, 0.066132, 0.672172, 0.000000, 0.000000], [0.267269, 0.061593, -0.057711, 0.548376, 0.521207, -0.306276, -0.397104, -0.312366, 0.000000, 0.000000], [0.280427, 0.231019, -0.154377, -0.057254, 0.342839, 0.057208, 0.798875, -0.286127, 0.000000, 0.000000], [0.184028, 0.469633, -0.020452, 0.018286, -0.332650, 0.571910, -0.273805, -0.481788, 0.000000, 0.000000], [0.529188, -0.116774, -0.516149, -0.471461, -0.218382, -0.357562, -0.192055, -0.072195, 0.000000, 0.000000]]
fourier: [[34.989576, 39.210641, 43.701930, 55.210339, 123.780470], [36.095586, 37.119060, 37.749138, 38.712819, 45.458485], [34.398459, 35.113842, 35.467540, 37.502115, 43.930800], [51.076331, 52.123667, 52.174630, 64.799093, 85.597539], [26.175243, 29.644013, 29.915479, 29.970735, 37.688553], [28.861697, 30.693887, 31.727049, 32.157549, 40.972091], [20.174369, 20.922312, 25.478415, 32.343832, 67.350149], [53.269157, 59.252737, 61.294535, 67.608916, 118.271901]]
### 10
mean: [-2.662235]
std: [5.693011]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[81.276314, 88.686136, 99.113797, 122.308341, 239.601095]]
## 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.903929,
0.245271,
0.066681,
-0.688881,
0.478267
],
[
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0.483704
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[
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[
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-0.181721,
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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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1.065087,
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],
[
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0.038023,
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0.785646,
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-0.330092
]
],
"network.2.bias": [
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-0.203999
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[
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0.402126,
0.229578,
0.650851,
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[
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0.383,
0.162642,
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[
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[
1.033047,
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0.350704,
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0.327708,
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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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0.072572
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0.495022,
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],
[
0.69666,
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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": [
0.344497
]
}
## Activation Signature
### 0
mean: [1.316715, 3.844851, -4.851127, 0.126903, 1.325771, -1.627591, -1.865504, -2.700601]
std: [2.689998, 3.328056, 3.151931, 1.782474, 1.957018, 1.929394, 2.369055, 2.950390]
pca: [[0.333152, -0.477315, 0.317838, -0.426492, -0.494787, -0.030629, 0.281952, -0.230248, 0.000000, 0.000000], [0.532870, 0.002291, 0.167377, 0.666579, 0.182158, 0.195633, 0.304320, -0.282201, 0.000000, 0.000000], [-0.470993, -0.394093, 0.211544, -0.029780, 0.562505, -0.252690, 0.294131, -0.332328, 0.000000, 0.000000], [-0.000635, 0.434775, 0.480419, -0.189542, 0.050964, 0.076159, -0.459271, -0.570013, 0.000000, 0.000000], [0.083066, 0.570782, -0.163629, -0.129301, -0.091818, -0.578157, 0.507377, -0.153907, 0.000000, 0.000000], [-0.128602, 0.227587, 0.724184, 0.020953, 0.016484, 0.069003, 0.260769, 0.577712, 0.000000, 0.000000], [-0.363592, -0.121490, 0.154783, 0.565246, -0.553923, -0.395770, -0.190894, -0.098360, 0.000000, 0.000000], [-0.477060, 0.188358, -0.142253, 0.017409, -0.295740, 0.628870, 0.410581, -0.254715, 0.000000, 0.000000]]
fourier: [[44.130490, 44.689944, 46.675102, 53.024123, 118.504389], [54.386781, 54.914486, 67.769316, 71.008701, 346.036667], [52.745250, 54.299225, 58.989454, 59.374396, 436.601462], [25.024992, 26.445710, 28.100354, 28.226410, 31.430697], [29.390974, 29.504595, 32.653307, 34.535150, 119.319381], [30.204139, 31.286453, 34.037854, 36.692604, 146.483192], [39.885394, 40.421009, 43.279007, 52.680659, 167.895338], [49.964629, 56.578060, 58.071059, 60.651995, 243.054039]]
### 2
mean: [-3.812808, -3.921659, 2.309525, -4.494484, -4.634215, 0.864388, -5.209083, -5.026010]
std: [3.799757, 3.844404, 2.154023, 4.510663, 4.603854, 2.997917, 4.822336, 3.742896]
pca: [[0.357693, 0.072262, -0.578252, -0.314977, 0.099281, -0.174229, -0.289656, -0.556000, 0.000000, 0.000000], [0.360383, -0.173363, 0.224282, 0.650439, -0.424501, -0.087035, -0.037702, -0.421305, 0.000000, 0.000000], [-0.177709, 0.332119, -0.176292, -0.055853, -0.341428, -0.563937, 0.620687, -0.063780, 0.000000, 0.000000], [0.428218, -0.005673, -0.211755, -0.194547, -0.322842, 0.637196, 0.460433, 0.108001, 0.000000, 0.000000], [0.437348, -0.017062, 0.006345, -0.169720, -0.372888, -0.374279, -0.361834, 0.607896, 0.000000, 0.000000], [0.079307, 0.902402, 0.266308, 0.029245, -0.060125, 0.205484, -0.236203, -0.077303, 0.000000, 0.000000], [0.455063, 0.163025, -0.157622, 0.420767, 0.633146, -0.149549, 0.274886, 0.256221, 0.000000, 0.000000], [0.350119, -0.114854, 0.666032, -0.479630, 0.213560, -0.182627, 0.234837, -0.237639, 0.000000, 0.000000]]
fourier: [[63.749458, 75.531041, 77.798471, 86.621056, 343.152699], [64.972482, 67.492724, 83.128079, 84.934807, 352.949230], [38.128727, 39.333996, 41.410437, 46.278948, 207.857271], [75.623460, 85.908685, 95.379097, 102.678517, 404.503541], [77.376177, 86.601833, 97.230621, 103.387590, 417.079353], [43.537817, 45.752042, 50.589609, 69.092699, 77.794929], [76.856006, 92.872596, 99.871545, 106.826804, 468.817508], [63.612723, 64.487661, 77.838613, 81.143539, 452.340879]]
### 4
mean: [-0.151166, 0.167730, -0.282605, -0.710203, -1.058158, -0.998070, 1.585341, -0.796763]
std: [1.266996, 0.939012, 1.535042, 1.642373, 1.310826, 1.349156, 1.765251, 0.557075]
pca: [[-0.086497, 0.593767, 0.100890, 0.109625, 0.099579, -0.561564, 0.330510, -0.428083, 0.000000, 0.000000], [0.083751, 0.429987, -0.131636, 0.221624, -0.062510, -0.262851, -0.177914, 0.798123, 0.000000, 0.000000], [-0.464785, -0.218168, -0.396892, -0.347248, -0.499364, -0.442960, -0.111956, -0.012676, 0.000000, 0.000000], [-0.507319, -0.211717, -0.338576, 0.226343, 0.532497, 0.042027, 0.452329, 0.204982, 0.000000, 0.000000], [-0.326700, 0.405536, -0.058103, 0.166746, -0.525478, 0.588695, 0.272449, -0.026629, 0.000000, 0.000000], [-0.345905, -0.313341, 0.588209, 0.578706, -0.204269, -0.199065, -0.138125, 0.029079, 0.000000, 0.000000], [0.528475, -0.325898, -0.203131, 0.290702, -0.366051, -0.172186, 0.568214, 0.047183, 0.000000, 0.000000], [-0.080237, -0.035762, 0.556515, -0.565544, -0.037579, -0.041692, 0.475184, 0.365766, 0.000000, 0.000000]]
fourier: [[18.926366, 21.631713, 22.626001, 22.754391, 24.635062], [14.650941, 14.716402, 15.095729, 15.263906, 17.633086], [24.466583, 25.117413, 25.241031, 25.434483, 36.920747], [26.200704, 26.231685, 26.440593, 39.449261, 63.918246], [20.829673, 21.073516, 22.354005, 22.960283, 95.234238], [21.410667, 21.833064, 22.207901, 23.068131, 89.826291], [26.912837, 28.102840, 30.094399, 32.279952, 142.680662], [9.168848, 9.206024, 9.238723, 10.141713, 71.708677]]
### 6
mean: [0.411040, 0.556260, -1.087615, 0.497336, 0.845183, -0.887994, -0.474602, -0.575118]
std: [1.573951, 0.663222, 1.125598, 1.264788, 1.777174, 1.724285, 1.378225, 1.107106]
pca: [[0.367249, 0.481289, 0.115996, -0.156108, -0.126384, 0.311698, -0.280480, 0.635506, 0.000000, 0.000000], [-0.031019, 0.281956, -0.009820, 0.916907, 0.199844, -0.142409, -0.091582, 0.100587, 0.000000, 0.000000], [-0.313532, 0.250879, 0.163832, -0.157756, 0.705102, 0.462048, -0.151863, -0.230890, 0.000000, 0.000000], [-0.341828, -0.277391, -0.494550, 0.187208, -0.166252, 0.617145, 0.184820, 0.289683, 0.000000, 0.000000], [0.487376, 0.410437, -0.325331, 0.043033, -0.093568, 0.266485, 0.403322, -0.493838, 0.000000, 0.000000], [-0.464753, 0.412294, 0.364590, -0.058617, -0.211070, -0.081127, 0.634822, 0.153378, 0.000000, 0.000000], [-0.385395, 0.309011, -0.047280, 0.013096, -0.557947, 0.074648, -0.537596, -0.384303, 0.000000, 0.000000], [0.216695, -0.339181, 0.688496, 0.263663, -0.233817, 0.452813, 0.032336, -0.183573, 0.000000, 0.000000]]
fourier: [[21.343970, 23.555667, 29.670666, 36.993589, 38.153133], [9.671854, 12.105237, 12.245740, 12.976408, 50.063354], [17.439382, 18.181666, 20.730759, 21.454071, 97.885319], [19.588436, 20.477226, 21.006538, 26.354722, 44.760260], [26.887669, 28.056067, 28.778608, 38.243201, 76.066484], [28.027751, 28.169552, 32.829970, 33.109356, 79.919424], [21.748150, 22.412881, 23.659786, 24.045905, 42.714190], [16.891236, 17.807305, 19.382680, 19.408847, 51.760580]]
### 8
mean: [1.375338, 0.505094, 0.488120, 0.951084, -0.146738, 0.019650, 0.748335, 1.314132]
std: [2.453240, 2.395030, 2.244342, 3.262195, 1.867481, 1.980129, 1.419730, 3.703175]
pca: [[0.337754, 0.462891, 0.685059, -0.212212, -0.049951, -0.351352, -0.025892, 0.175217, 0.000000, 0.000000], [-0.325892, 0.568228, -0.352897, -0.319047, 0.442248, 0.048833, -0.222714, 0.311472, 0.000000, 0.000000], [-0.312449, 0.401019, -0.267251, 0.376253, -0.492183, -0.494998, 0.193927, -0.060792, 0.000000, 0.000000], [0.467027, 0.103334, -0.201852, 0.430121, -0.110160, 0.277733, 0.066132, 0.672172, 0.000000, 0.000000], [0.267269, 0.061593, -0.057711, 0.548376, 0.521207, -0.306276, -0.397104, -0.312366, 0.000000, 0.000000], [0.280427, 0.231019, -0.154377, -0.057254, 0.342839, 0.057208, 0.798875, -0.286127, 0.000000, 0.000000], [0.184028, 0.469633, -0.020452, 0.018286, -0.332650, 0.571910, -0.273805, -0.481788, 0.000000, 0.000000], [0.529188, -0.116774, -0.516149, -0.471461, -0.218382, -0.357562, -0.192055, -0.072195, 0.000000, 0.000000]]
fourier: [[34.989576, 39.210641, 43.701930, 55.210339, 123.780470], [36.095586, 37.119060, 37.749138, 38.712819, 45.458485], [34.398459, 35.113842, 35.467540, 37.502115, 43.930800], [51.076331, 52.123667, 52.174630, 64.799093, 85.597539], [26.175243, 29.644013, 29.915479, 29.970735, 37.688553], [28.861697, 30.693887, 31.727049, 32.157549, 40.972091], [20.174369, 20.922312, 25.478415, 32.343832, 67.350149], [53.269157, 59.252737, 61.294535, 67.608916, 118.271901]]
### 10
mean: [-2.662235]
std: [5.693011]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[81.276314, 88.686136, 99.113797, 122.308341, 239.601095]]
## 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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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6921181082725525, "train_acc": 0.475, "val_loss": 0.6975218057632446, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6365141570568085, "train_acc": 0.635, "val_loss": 0.6594309210777283, "val_acc": 0.68}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6722850799560547, "train_acc": 0.59, "val_loss": 0.6887689232826233, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6818008720874786, "train_acc": 0.56, "val_loss": 0.6631259918212891, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6518119275569916, "train_acc": 0.745, "val_loss": 0.5436712503433228, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5003421306610107, "train_acc": 0.82, "val_loss": 0.34315264225006104, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3696466535329819, "train_acc": 0.855, "val_loss": 0.23399578034877777, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.275336429476738, "train_acc": 0.83, "val_loss": 0.11730068922042847, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2101118117570877, "train_acc": 0.875, "val_loss": 0.09547656774520874, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.20767317712306976, "train_acc": 0.845, "val_loss": 0.6089887022972107, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.19439083337783813, "train_acc": 0.86, "val_loss": 1.881528615951538, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.42145517468452454, "train_acc": 0.84, "val_loss": 0.6302523016929626, "val_acc": 0.82}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6975218057632446, "final_val_loss": 0.6594309210777283, "initial_val_acc": 0.48, "final_val_acc": 0.68, "best_val_acc": 0.68}, "improved_stage": {"initial_val_loss": 0.6887689232826233, "final_val_loss": 0.6302523016929626, "initial_val_acc": 0.48, "final_val_acc": 0.82, "best_val_acc": 0.94, "best_epoch": 7}, "improvement": 0.2599999999999999, "first_improvement_epoch": 1}}
|
9,695
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.54, "improved_accuracy": 0.98, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5915, "learning_rate": 0.08313943409103247, "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: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
-0.304414,
-0.649177,
-0.104239,
-0.214129,
0.751471
],
[
-0.402136,
0.008042,
-0.405745,
-0.345147,
0.537474
],
[
0.008557,
-0.330145,
-0.285192,
0.395001,
-0.245434
]
],
"network.8.bias": [
0.040443,
-0.406629,
0.014623,
-0.117904,
-0.298395
],
"network.10.weight": [
[
0.436331,
0.592869,
-0.104637,
0.160235,
-0.428209
],
[
0.022289,
0.283797,
0.005071,
-0.130794,
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],
[
-0.210745,
0.531395,
0.219689,
0.855984,
-0.328374
],
[
0.309873,
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0.81724,
0.28712,
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],
[
0.200381,
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]
],
"network.10.bias": [
-0.057918,
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],
"network.12.weight": [
[
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0.065491,
-0.586194,
-0.650101,
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]
],
"network.12.bias": [
0.272874
]
}
## Activation Signature
### 0
mean: [-1.769511, -3.165994, -4.154305, 0.893160, 1.152006]
std: [1.503493, 2.016002, 2.522406, 2.110785, 1.734041]
pca: [[0.395937, 0.150104, 0.178923, 0.806742, -0.371290, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.573179, -0.204601, -0.141955, 0.141580, 0.767730, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.682438, 0.357907, 0.094052, -0.557641, -0.293891, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.120786, 0.722094, -0.653807, 0.133068, 0.137186, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.185444, 0.534874, 0.715210, 0.021254, 0.409320, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.050638, 23.436228, 29.176617, 30.478905, 159.255980], [32.263950, 32.658127, 33.103772, 35.693390, 284.939489], [39.936900, 41.429851, 46.473477, 47.323522, 373.887543], [29.099264, 31.224903, 37.325642, 47.046286, 80.384368], [27.718466, 28.104133, 32.759162, 33.473034, 103.680570]]
### 2
mean: [-1.170432, 2.765192, 0.577843, 0.763769, -1.135648]
std: [0.260868, 2.169503, 0.672718, 0.251203, 0.306040]
pca: [[-0.102938, -0.139216, 0.943298, 0.282832, -0.014772, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.977676, -0.114733, 0.040603, 0.160864, -0.058828, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.124153, 0.907213, 0.156769, -0.011798, 0.369912, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.008791, -0.370203, -0.049349, 0.033981, 0.926975, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.134398, 0.085844, -0.285533, 0.944899, -0.014281, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.417352, 4.441658, 4.794208, 4.795090, 105.338924], [36.491617, 37.228072, 38.656142, 39.217980, 248.867235], [10.534083, 11.304400, 11.506392, 14.024104, 52.005860], [3.956068, 4.049446, 4.250057, 5.309432, 68.739212], [4.843632, 5.161394, 5.171225, 6.319458, 102.208331]]
### 4
mean: [-1.358886, 2.010916, -0.639979, 0.146447, 2.571559]
std: [0.689253, 1.679814, 0.086093, 0.481380, 2.317901]
pca: [[-0.232644, -0.103343, 0.762049, -0.489628, 0.338736, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.567491, 0.255052, -0.274405, -0.282442, 0.676632, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.021802, 0.130151, 0.337474, 0.817643, 0.447390, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.088495, 0.946764, 0.160703, -0.081725, -0.251598, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.784553, -0.104723, 0.451961, 0.072612, -0.404930, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.435440, 11.859234, 12.037411, 12.957760, 122.299756], [28.360054, 29.043932, 29.631936, 30.881106, 180.982465], [1.190296, 1.506212, 1.571190, 1.619144, 57.598146], [7.102303, 7.478193, 8.018303, 9.739130, 13.180268], [38.398692, 38.912113, 41.277498, 43.121300, 231.440364]]
### 6
mean: [-0.710513, 0.745293, -0.321865, -1.158957, 4.289851]
std: [0.955786, 0.294517, 0.071331, 0.666116, 3.963211]
pca: [[-0.230360, 0.434010, -0.272659, 0.713896, 0.417828, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.065855, 0.693153, 0.555146, 0.034889, -0.453649, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.013632, 0.080719, 0.550321, -0.297397, 0.775887, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.159324, -0.566733, 0.556143, 0.574630, -0.118045, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.957616, 0.058930, 0.072951, 0.265502, 0.060718, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.208335, 15.963956, 17.277247, 18.279569, 63.946179], [4.693851, 4.933801, 5.102037, 5.363595, 67.076338], [1.045437, 1.052426, 1.099339, 1.212509, 28.967817], [11.207083, 11.630109, 11.766969, 12.396211, 104.306114], [65.501698, 66.716424, 71.086060, 74.045908, 386.086542]]
### 8
mean: [-1.479914, 0.872586, 2.776516, 2.192022, -1.613798]
std: [1.228305, 1.428526, 3.125981, 2.127688, 0.865549]
pca: [[-0.284660, 0.524917, 0.553031, -0.580965, -0.008168, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.331267, 0.129497, -0.475179, -0.506435, 0.625477, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.724991, 0.473684, -0.051565, 0.030649, -0.496401, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.493404, -0.211036, 0.676044, 0.204614, 0.461642, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.200429, 0.662405, -0.093094, 0.602658, 0.386245, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.608723, 21.071683, 22.121629, 22.562394, 133.192305], [23.823040, 23.955161, 25.725643, 26.514087, 78.532722], [51.602650, 52.575292, 56.098972, 58.445961, 249.886478], [35.308644, 35.936084, 38.016989, 39.889969, 197.281956], [14.611688, 14.907889, 15.467384, 15.981974, 145.241787]]
### 10
mean: [0.624917, -0.294307, 3.049907, 3.035861, -0.182568]
std: [0.759388, 0.108956, 3.080212, 3.157732, 0.049923]
pca: [[0.168949, 0.716890, -0.194725, 0.018021, 0.647521, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.021451, 0.536472, 0.224350, -0.629800, -0.514546, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.688053, -0.044653, -0.646851, 0.020653, -0.325187, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.705363, -0.140582, 0.672665, 0.001871, 0.173835, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.006524, 0.420131, 0.202127, 0.776271, -0.424258, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.470826, 12.698086, 13.937102, 14.060649, 56.242502], [1.872240, 1.917026, 2.002767, 2.176531, 26.487646], [51.078801, 53.675599, 55.526372, 56.004676, 274.491655], [51.994859, 54.648995, 57.310609, 57.456395, 273.227492], [0.666353, 0.867946, 0.944450, 1.123832, 16.431128]]
### 12
mean: [-3.803557]
std: [4.167171]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[68.592295, 73.162207, 74.558645, 76.082333, 342.320090]]
## 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: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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-0.424726,
-0.091622,
-0.325761,
-0.280603
],
[
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-0.603908,
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],
[
-0.275396,
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-0.69261,
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0.001335
],
[
-0.52081,
-0.591228,
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0.672261
],
[
-0.847605,
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]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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],
[
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0.957991,
0.814497
],
[
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-0.181105,
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0.75276
],
[
0.005316,
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0.205656,
-0.252897
],
[
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]
],
"network.2.bias": [
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-0.020905,
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-0.785973
],
"network.4.weight": [
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],
[
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],
[
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0.240505
],
[
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0.016037,
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0.128563,
0.154431
],
[
-0.097362,
1.004389,
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-1.094261,
0.247556
]
],
"network.4.bias": [
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0.188938,
-0.439709,
0.53676,
0.333295
],
"network.6.weight": [
[
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0.477743,
-0.223067
],
[
0.109382,
0.575112,
0.121631,
0.156522,
-0.532581
],
[
0.039033,
0.388857,
0.361467,
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-0.32294
],
[
0.371693,
0.023535,
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-0.334544
],
[
0.170568,
0.908533,
0.297187,
-0.717789,
1.032402
]
],
"network.6.bias": [
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0.934517,
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-0.229877,
-0.042849
],
"network.8.weight": [
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0.398249,
-0.328107
],
[
0.047501,
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0.277777,
-0.244919,
0.346962
],
[
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-0.649177,
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0.751471
],
[
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0.008042,
-0.405745,
-0.345147,
0.537474
],
[
0.008557,
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0.395001,
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]
],
"network.8.bias": [
0.040443,
-0.406629,
0.014623,
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-0.298395
],
"network.10.weight": [
[
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0.592869,
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0.160235,
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],
[
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0.005071,
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],
[
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0.531395,
0.219689,
0.855984,
-0.328374
],
[
0.309873,
0.115883,
0.81724,
0.28712,
-0.384505
],
[
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0.20205,
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]
],
"network.10.bias": [
-0.057918,
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-0.078256,
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],
"network.12.weight": [
[
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-0.586194,
-0.650101,
0.343589
]
],
"network.12.bias": [
0.272874
]
}
## Activation Signature
### 0
mean: [-1.769511, -3.165994, -4.154305, 0.893160, 1.152006]
std: [1.503493, 2.016002, 2.522406, 2.110785, 1.734041]
pca: [[0.395937, 0.150104, 0.178923, 0.806742, -0.371290, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.573179, -0.204601, -0.141955, 0.141580, 0.767730, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.682438, 0.357907, 0.094052, -0.557641, -0.293891, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.120786, 0.722094, -0.653807, 0.133068, 0.137186, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.185444, 0.534874, 0.715210, 0.021254, 0.409320, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.050638, 23.436228, 29.176617, 30.478905, 159.255980], [32.263950, 32.658127, 33.103772, 35.693390, 284.939489], [39.936900, 41.429851, 46.473477, 47.323522, 373.887543], [29.099264, 31.224903, 37.325642, 47.046286, 80.384368], [27.718466, 28.104133, 32.759162, 33.473034, 103.680570]]
### 2
mean: [-1.170432, 2.765192, 0.577843, 0.763769, -1.135648]
std: [0.260868, 2.169503, 0.672718, 0.251203, 0.306040]
pca: [[-0.102938, -0.139216, 0.943298, 0.282832, -0.014772, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.977676, -0.114733, 0.040603, 0.160864, -0.058828, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.124153, 0.907213, 0.156769, -0.011798, 0.369912, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.008791, -0.370203, -0.049349, 0.033981, 0.926975, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.134398, 0.085844, -0.285533, 0.944899, -0.014281, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.417352, 4.441658, 4.794208, 4.795090, 105.338924], [36.491617, 37.228072, 38.656142, 39.217980, 248.867235], [10.534083, 11.304400, 11.506392, 14.024104, 52.005860], [3.956068, 4.049446, 4.250057, 5.309432, 68.739212], [4.843632, 5.161394, 5.171225, 6.319458, 102.208331]]
### 4
mean: [-1.358886, 2.010916, -0.639979, 0.146447, 2.571559]
std: [0.689253, 1.679814, 0.086093, 0.481380, 2.317901]
pca: [[-0.232644, -0.103343, 0.762049, -0.489628, 0.338736, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.567491, 0.255052, -0.274405, -0.282442, 0.676632, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.021802, 0.130151, 0.337474, 0.817643, 0.447390, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.088495, 0.946764, 0.160703, -0.081725, -0.251598, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.784553, -0.104723, 0.451961, 0.072612, -0.404930, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.435440, 11.859234, 12.037411, 12.957760, 122.299756], [28.360054, 29.043932, 29.631936, 30.881106, 180.982465], [1.190296, 1.506212, 1.571190, 1.619144, 57.598146], [7.102303, 7.478193, 8.018303, 9.739130, 13.180268], [38.398692, 38.912113, 41.277498, 43.121300, 231.440364]]
### 6
mean: [-0.710513, 0.745293, -0.321865, -1.158957, 4.289851]
std: [0.955786, 0.294517, 0.071331, 0.666116, 3.963211]
pca: [[-0.230360, 0.434010, -0.272659, 0.713896, 0.417828, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.065855, 0.693153, 0.555146, 0.034889, -0.453649, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.013632, 0.080719, 0.550321, -0.297397, 0.775887, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.159324, -0.566733, 0.556143, 0.574630, -0.118045, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.957616, 0.058930, 0.072951, 0.265502, 0.060718, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.208335, 15.963956, 17.277247, 18.279569, 63.946179], [4.693851, 4.933801, 5.102037, 5.363595, 67.076338], [1.045437, 1.052426, 1.099339, 1.212509, 28.967817], [11.207083, 11.630109, 11.766969, 12.396211, 104.306114], [65.501698, 66.716424, 71.086060, 74.045908, 386.086542]]
### 8
mean: [-1.479914, 0.872586, 2.776516, 2.192022, -1.613798]
std: [1.228305, 1.428526, 3.125981, 2.127688, 0.865549]
pca: [[-0.284660, 0.524917, 0.553031, -0.580965, -0.008168, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.331267, 0.129497, -0.475179, -0.506435, 0.625477, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.724991, 0.473684, -0.051565, 0.030649, -0.496401, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.493404, -0.211036, 0.676044, 0.204614, 0.461642, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.200429, 0.662405, -0.093094, 0.602658, 0.386245, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.608723, 21.071683, 22.121629, 22.562394, 133.192305], [23.823040, 23.955161, 25.725643, 26.514087, 78.532722], [51.602650, 52.575292, 56.098972, 58.445961, 249.886478], [35.308644, 35.936084, 38.016989, 39.889969, 197.281956], [14.611688, 14.907889, 15.467384, 15.981974, 145.241787]]
### 10
mean: [0.624917, -0.294307, 3.049907, 3.035861, -0.182568]
std: [0.759388, 0.108956, 3.080212, 3.157732, 0.049923]
pca: [[0.168949, 0.716890, -0.194725, 0.018021, 0.647521, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.021451, 0.536472, 0.224350, -0.629800, -0.514546, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.688053, -0.044653, -0.646851, 0.020653, -0.325187, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.705363, -0.140582, 0.672665, 0.001871, 0.173835, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.006524, 0.420131, 0.202127, 0.776271, -0.424258, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.470826, 12.698086, 13.937102, 14.060649, 56.242502], [1.872240, 1.917026, 2.002767, 2.176531, 26.487646], [51.078801, 53.675599, 55.526372, 56.004676, 274.491655], [51.994859, 54.648995, 57.310609, 57.456395, 273.227492], [0.666353, 0.867946, 0.944450, 1.123832, 16.431128]]
### 12
mean: [-3.803557]
std: [4.167171]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[68.592295, 73.162207, 74.558645, 76.082333, 342.320090]]
## 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": 0.6861976981163025, "train_acc": 0.56, "val_loss": 0.6983237266540527, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6861788332462311, "train_acc": 0.56, "val_loss": 0.6887809038162231, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6836198568344116, "train_acc": 0.56, "val_loss": 0.6712591648101807, "val_acc": 0.54}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6565612852573395, "train_acc": 0.56, "val_loss": 0.5797960162162781, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5578401982784271, "train_acc": 0.49, "val_loss": 0.36743247509002686, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.4128194749355316, "train_acc": 0.9, "val_loss": 0.28778037428855896, "val_acc": 0.98}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.34597788751125336, "train_acc": 0.925, "val_loss": 0.24852383136749268, "val_acc": 0.98}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3272183984518051, "train_acc": 0.935, "val_loss": 0.22231097519397736, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.28424172103405, "train_acc": 0.94, "val_loss": 0.21497005224227905, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.2668677717447281, "train_acc": 0.93, "val_loss": 0.20494456589221954, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.2626906633377075, "train_acc": 0.925, "val_loss": 0.19060851633548737, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.2603630870580673, "train_acc": 0.925, "val_loss": 0.15015532076358795, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.2361012101173401, "train_acc": 0.93, "val_loss": 0.13870809972286224, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.27340447902679443, "train_acc": 0.935, "val_loss": 0.12810543179512024, "val_acc": 0.98}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6983237266540527, "final_val_loss": 0.5797960162162781, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.36743247509002686, "final_val_loss": 0.12810543179512024, "initial_val_acc": 0.88, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 5}, "improvement": 0.43999999999999995, "first_improvement_epoch": 3}}
|
9,696
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.54, "improved_accuracy": 0.88, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7382, "learning_rate": 0.023761805273036306, "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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
mean: [2.105651, 2.465903, -0.376281, 2.090340, 0.119278, 1.969983, -0.085148, 1.577836]
std: [1.943176, 1.843881, 1.456822, 1.615771, 1.349829, 2.042402, 1.072195, 1.764957]
pca: [[0.549981, 0.082015, 0.048147, 0.116538, -0.292194, 0.700094, 0.291741, 0.119468, 0.000000, 0.000000], [0.160971, 0.589655, 0.589292, 0.152246, -0.051709, -0.110909, -0.236856, -0.429973, 0.000000, 0.000000], [-0.305555, 0.327593, -0.131835, 0.615827, 0.040603, -0.141807, 0.613676, 0.065875, 0.000000, 0.000000], [0.007434, 0.660838, -0.265593, -0.225189, -0.011341, -0.031739, -0.252642, 0.614023, 0.000000, 0.000000], [-0.166739, 0.315524, -0.475613, -0.416745, 0.079532, 0.256199, 0.183556, -0.605889, 0.000000, 0.000000], [0.572768, 0.025454, -0.095668, 0.009502, 0.778656, -0.183647, 0.148237, -0.006343, 0.000000, 0.000000], [-0.063478, 0.035472, 0.466625, -0.599075, -0.044200, -0.182434, 0.592510, 0.178266, 0.000000, 0.000000], [0.467221, -0.009752, -0.330753, -0.025075, -0.543679, -0.586348, 0.107821, -0.143410, 0.000000, 0.000000]]
fourier: [[31.768058, 32.381430, 33.982118, 36.802692, 189.508602], [28.506951, 29.367908, 30.439812, 33.334305, 221.931256], [22.983867, 24.569940, 24.570439, 25.582693, 33.865323], [24.456936, 26.392960, 30.401739, 35.291429, 188.130592], [19.528493, 20.445815, 22.441204, 22.925718, 29.028695], [31.788346, 32.867857, 34.032894, 34.244809, 177.298511], [14.517439, 15.451490, 17.780528, 17.832457, 19.171266], [28.014772, 28.300008, 29.581086, 34.060556, 142.005213]]
### 2
mean: [1.373886, -1.510311, 3.114750, 2.388365, 1.918236, 1.545879, 2.825716, 0.098352]
std: [2.255849, 0.749904, 2.384762, 1.345289, 1.708455, 1.543167, 2.328242, 1.567389]
pca: [[0.477876, -0.190246, -0.608675, 0.096236, 0.299467, -0.053131, 0.157415, -0.488273, 0.000000, 0.000000], [-0.053319, -0.276172, -0.132802, 0.788960, 0.074577, -0.010445, 0.195981, 0.486530, 0.000000, 0.000000], [0.525183, 0.275029, -0.016095, 0.159724, -0.301040, -0.523258, -0.476430, 0.177093, 0.000000, 0.000000], [0.034790, 0.549538, -0.178904, -0.204623, 0.107183, -0.287659, 0.657013, 0.311477, 0.000000, 0.000000], [-0.163127, 0.642914, -0.119789, 0.460642, -0.240541, 0.369067, -0.041501, -0.371102, 0.000000, 0.000000], [0.339675, 0.082320, -0.310602, -0.245926, -0.027210, 0.667671, -0.183780, 0.490500, 0.000000, 0.000000], [0.494540, 0.149265, 0.661508, 0.167362, 0.452006, 0.204167, 0.129583, -0.069006, 0.000000, 0.000000], [-0.324352, 0.259820, -0.176623, 0.014728, 0.734667, -0.129773, -0.475259, 0.115886, 0.000000, 0.000000]]
fourier: [[35.488761, 36.585784, 38.052868, 42.273404, 123.649742], [10.985763, 11.529463, 12.879583, 13.401852, 135.928008], [37.370599, 38.720083, 42.482788, 43.699421, 280.327473], [22.032788, 22.656439, 26.043202, 28.043643, 214.952834], [23.910432, 27.949949, 30.029971, 33.623850, 172.641233], [24.604948, 25.446890, 26.556100, 26.891563, 139.129132], [38.714350, 39.266994, 39.852612, 48.726090, 254.314423], [22.190361, 24.414276, 24.498585, 24.796880, 28.941809]]
### 4
mean: [-0.274443, -1.640092, 1.037820, 4.227954, -2.480190, 4.523908, -0.819740, -2.847338]
std: [1.730364, 0.885054, 1.736931, 3.172633, 1.323668, 4.523404, 2.436487, 1.790250]
pca: [[-0.232201, -0.369423, -0.227619, 0.768019, 0.366599, 0.180549, 0.013136, 0.027934, 0.000000, 0.000000], [-0.029613, 0.400629, -0.165659, -0.057376, 0.582355, -0.444303, -0.024539, 0.520327, 0.000000, 0.000000], [0.256431, 0.175899, -0.381842, -0.079431, -0.076146, 0.607396, 0.485176, 0.375588, 0.000000, 0.000000], [0.472932, -0.271191, 0.148412, 0.077918, 0.148783, -0.411498, 0.667275, -0.194862, 0.000000, 0.000000], [-0.124668, 0.477959, 0.392611, 0.541243, -0.448420, -0.127789, 0.215318, 0.212492, 0.000000, 0.000000], [0.685710, 0.015447, 0.418707, 0.181011, 0.203774, 0.264485, -0.430209, 0.157884, 0.000000, 0.000000], [-0.337433, -0.455564, 0.544440, -0.249015, 0.075687, 0.133266, 0.177666, 0.514902, 0.000000, 0.000000], [-0.237030, 0.402886, 0.356431, -0.082200, 0.500200, 0.357343, 0.235727, -0.462859, 0.000000, 0.000000]]
fourier: [[25.123246, 26.840805, 27.309642, 28.650214, 28.713434], [13.662974, 14.419647, 18.872809, 19.613520, 147.608251], [26.885832, 29.559723, 30.190164, 30.650638, 93.403774], [48.807886, 54.552586, 57.187283, 57.674072, 380.515909], [20.795215, 21.427591, 23.459726, 27.329459, 223.217081], [72.194465, 77.096221, 79.508811, 79.921117, 407.151680], [36.562977, 39.482062, 40.341085, 43.345011, 73.776632], [26.251996, 26.320885, 32.632290, 36.239671, 256.260413]]
### 6
mean: [0.604899, 4.552802, 0.521780, -2.757139, 4.701086, 3.995605, 3.544920, -1.318469]
std: [0.898302, 4.466049, 1.064329, 2.320343, 4.379074, 3.784483, 3.378095, 0.729947]
pca: [[0.081737, -0.482112, 0.499574, 0.027996, -0.164873, -0.211957, 0.615847, -0.243213, 0.000000, 0.000000], [0.528936, -0.016010, -0.006345, -0.004989, 0.224404, -0.574369, 0.015115, 0.582597, 0.000000, 0.000000], [-0.083480, 0.678514, 0.549457, -0.304800, 0.277543, 0.070108, 0.230166, 0.054053, 0.000000, 0.000000], [-0.267441, -0.463700, 0.123168, 0.023839, 0.745729, 0.292662, -0.035791, 0.233829, 0.000000, 0.000000], [0.518329, 0.065233, -0.409766, -0.196327, 0.411918, 0.147334, 0.288766, -0.495840, 0.000000, 0.000000], [0.447951, 0.096233, 0.181896, 0.560575, -0.131694, 0.597109, 0.107618, 0.239343, 0.000000, 0.000000], [0.398231, -0.262677, 0.365974, -0.532216, -0.152844, 0.223428, -0.525432, -0.076566, 0.000000, 0.000000], [-0.084493, -0.096942, -0.313656, -0.519306, -0.280957, 0.326255, 0.441814, 0.484588, 0.000000, 0.000000]]
fourier: [[12.561990, 13.345380, 13.963847, 20.562265, 54.440944], [70.680213, 78.839337, 78.905945, 79.219476, 409.752191], [15.536282, 16.766472, 17.529567, 20.593166, 46.960182], [36.134147, 40.262293, 40.573067, 41.766066, 248.142537], [69.941227, 75.119126, 77.484560, 77.520695, 423.097772], [60.999066, 66.516083, 66.617337, 66.895810, 359.604450], [51.171934, 58.851272, 59.417889, 64.246253, 319.042785], [12.235855, 12.349087, 12.668993, 12.826875, 118.662193]]
### 8
mean: [-3.003272, 0.423323, -4.037416, 8.306757, -0.432268, 4.766597, -0.156857, 7.953316]
std: [2.394851, 0.529910, 3.333714, 7.822426, 0.252551, 3.472345, 0.320281, 6.996028]
pca: [[-0.201320, -0.439013, -0.373599, 0.230392, -0.351805, 0.584442, 0.311818, -0.107293, 0.000000, 0.000000], [-0.029922, 0.539069, -0.375925, 0.664199, -0.023682, -0.120477, -0.110545, -0.314219, 0.000000, 0.000000], [-0.282042, -0.329033, 0.611529, 0.417097, 0.101899, -0.245068, 0.222819, -0.379686, 0.000000, 0.000000], [0.663285, -0.338139, -0.265110, -0.112975, -0.068219, -0.345625, 0.126519, -0.471752, 0.000000, 0.000000], [0.006709, -0.327284, -0.163766, 0.110050, 0.730008, 0.278599, -0.476503, -0.127773, 0.000000, 0.000000], [0.293523, 0.399626, 0.372512, -0.180622, 0.068061, 0.597127, 0.134277, -0.451143, 0.000000, 0.000000], [-0.025687, 0.139619, -0.216892, -0.025648, 0.568259, -0.066435, 0.760572, 0.162313, 0.000000, 0.000000], [0.593481, -0.088103, 0.249453, 0.523099, -0.013182, 0.160641, 0.036588, 0.526156, 0.000000, 0.000000]]
fourier: [[36.789785, 41.910972, 42.283106, 42.517414, 270.294489], [7.193184, 8.182831, 8.415374, 11.953315, 38.099054], [53.619228, 56.029364, 58.909379, 59.082037, 363.367460], [125.376112, 137.724597, 138.100914, 138.501436, 747.608113], [3.904451, 4.632742, 4.671891, 4.702124, 38.904130], [55.784660, 59.341261, 61.496153, 61.696842, 428.993765], [4.585649, 5.290126, 5.298780, 6.668850, 14.117100], [113.970557, 121.213609, 123.987912, 124.077612, 715.798452]]
### 10
mean: [-2.308908, 2.430156, -0.422440, 8.518235, 9.307038, -4.361505, 4.862283, -1.157605]
std: [1.740205, 2.319722, 0.182256, 7.893951, 8.485358, 3.498729, 4.756426, 0.543577]
pca: [[-0.130465, 0.096863, 0.434000, 0.012242, 0.461179, 0.591658, -0.470505, 0.031141, 0.000000, 0.000000], [0.173775, 0.306555, -0.397242, 0.685601, -0.095366, 0.442943, 0.139926, 0.152000, 0.000000, 0.000000], [-0.013532, -0.067145, 0.149423, -0.162222, 0.351011, 0.304002, 0.838961, -0.164874, 0.000000, 0.000000], [0.591999, 0.141557, 0.360394, 0.341770, 0.184136, -0.312495, -0.039235, -0.499709, 0.000000, 0.000000], [0.636361, -0.104300, -0.146716, -0.247180, 0.348476, -0.053984, -0.025392, 0.613636, 0.000000, 0.000000], [-0.261763, 0.708991, -0.285368, -0.131185, 0.469824, -0.329829, -0.004005, -0.025098, 0.000000, 0.000000], [0.356561, 0.403542, -0.120063, -0.553479, -0.392850, 0.372664, -0.077248, -0.300147, 0.000000, 0.000000], [-0.039045, 0.442383, 0.619884, 0.045091, -0.352991, -0.114421, 0.216848, 0.481422, 0.000000, 0.000000]]
fourier: [[28.633168, 29.763856, 30.905406, 30.908646, 207.801684], [36.940200, 40.960894, 41.039229, 41.398217, 218.714082], [2.761380, 3.190120, 3.216300, 3.455582, 38.019621], [128.105857, 136.223910, 139.492647, 140.137317, 766.641177], [138.406145, 145.690178, 150.072275, 150.701190, 837.633435], [56.935056, 59.130928, 62.070867, 62.160429, 392.535415], [75.933988, 83.509567, 83.816161, 84.451387, 437.605461], [8.449384, 9.291766, 9.671540, 10.074507, 104.184417]]
### 12
mean: [-10.559364]
std: [10.155880]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[166.843190, 172.057603, 179.714032, 180.820980, 950.342825]]
## 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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
mean: [2.105651, 2.465903, -0.376281, 2.090340, 0.119278, 1.969983, -0.085148, 1.577836]
std: [1.943176, 1.843881, 1.456822, 1.615771, 1.349829, 2.042402, 1.072195, 1.764957]
pca: [[0.549981, 0.082015, 0.048147, 0.116538, -0.292194, 0.700094, 0.291741, 0.119468, 0.000000, 0.000000], [0.160971, 0.589655, 0.589292, 0.152246, -0.051709, -0.110909, -0.236856, -0.429973, 0.000000, 0.000000], [-0.305555, 0.327593, -0.131835, 0.615827, 0.040603, -0.141807, 0.613676, 0.065875, 0.000000, 0.000000], [0.007434, 0.660838, -0.265593, -0.225189, -0.011341, -0.031739, -0.252642, 0.614023, 0.000000, 0.000000], [-0.166739, 0.315524, -0.475613, -0.416745, 0.079532, 0.256199, 0.183556, -0.605889, 0.000000, 0.000000], [0.572768, 0.025454, -0.095668, 0.009502, 0.778656, -0.183647, 0.148237, -0.006343, 0.000000, 0.000000], [-0.063478, 0.035472, 0.466625, -0.599075, -0.044200, -0.182434, 0.592510, 0.178266, 0.000000, 0.000000], [0.467221, -0.009752, -0.330753, -0.025075, -0.543679, -0.586348, 0.107821, -0.143410, 0.000000, 0.000000]]
fourier: [[31.768058, 32.381430, 33.982118, 36.802692, 189.508602], [28.506951, 29.367908, 30.439812, 33.334305, 221.931256], [22.983867, 24.569940, 24.570439, 25.582693, 33.865323], [24.456936, 26.392960, 30.401739, 35.291429, 188.130592], [19.528493, 20.445815, 22.441204, 22.925718, 29.028695], [31.788346, 32.867857, 34.032894, 34.244809, 177.298511], [14.517439, 15.451490, 17.780528, 17.832457, 19.171266], [28.014772, 28.300008, 29.581086, 34.060556, 142.005213]]
### 2
mean: [1.373886, -1.510311, 3.114750, 2.388365, 1.918236, 1.545879, 2.825716, 0.098352]
std: [2.255849, 0.749904, 2.384762, 1.345289, 1.708455, 1.543167, 2.328242, 1.567389]
pca: [[0.477876, -0.190246, -0.608675, 0.096236, 0.299467, -0.053131, 0.157415, -0.488273, 0.000000, 0.000000], [-0.053319, -0.276172, -0.132802, 0.788960, 0.074577, -0.010445, 0.195981, 0.486530, 0.000000, 0.000000], [0.525183, 0.275029, -0.016095, 0.159724, -0.301040, -0.523258, -0.476430, 0.177093, 0.000000, 0.000000], [0.034790, 0.549538, -0.178904, -0.204623, 0.107183, -0.287659, 0.657013, 0.311477, 0.000000, 0.000000], [-0.163127, 0.642914, -0.119789, 0.460642, -0.240541, 0.369067, -0.041501, -0.371102, 0.000000, 0.000000], [0.339675, 0.082320, -0.310602, -0.245926, -0.027210, 0.667671, -0.183780, 0.490500, 0.000000, 0.000000], [0.494540, 0.149265, 0.661508, 0.167362, 0.452006, 0.204167, 0.129583, -0.069006, 0.000000, 0.000000], [-0.324352, 0.259820, -0.176623, 0.014728, 0.734667, -0.129773, -0.475259, 0.115886, 0.000000, 0.000000]]
fourier: [[35.488761, 36.585784, 38.052868, 42.273404, 123.649742], [10.985763, 11.529463, 12.879583, 13.401852, 135.928008], [37.370599, 38.720083, 42.482788, 43.699421, 280.327473], [22.032788, 22.656439, 26.043202, 28.043643, 214.952834], [23.910432, 27.949949, 30.029971, 33.623850, 172.641233], [24.604948, 25.446890, 26.556100, 26.891563, 139.129132], [38.714350, 39.266994, 39.852612, 48.726090, 254.314423], [22.190361, 24.414276, 24.498585, 24.796880, 28.941809]]
### 4
mean: [-0.274443, -1.640092, 1.037820, 4.227954, -2.480190, 4.523908, -0.819740, -2.847338]
std: [1.730364, 0.885054, 1.736931, 3.172633, 1.323668, 4.523404, 2.436487, 1.790250]
pca: [[-0.232201, -0.369423, -0.227619, 0.768019, 0.366599, 0.180549, 0.013136, 0.027934, 0.000000, 0.000000], [-0.029613, 0.400629, -0.165659, -0.057376, 0.582355, -0.444303, -0.024539, 0.520327, 0.000000, 0.000000], [0.256431, 0.175899, -0.381842, -0.079431, -0.076146, 0.607396, 0.485176, 0.375588, 0.000000, 0.000000], [0.472932, -0.271191, 0.148412, 0.077918, 0.148783, -0.411498, 0.667275, -0.194862, 0.000000, 0.000000], [-0.124668, 0.477959, 0.392611, 0.541243, -0.448420, -0.127789, 0.215318, 0.212492, 0.000000, 0.000000], [0.685710, 0.015447, 0.418707, 0.181011, 0.203774, 0.264485, -0.430209, 0.157884, 0.000000, 0.000000], [-0.337433, -0.455564, 0.544440, -0.249015, 0.075687, 0.133266, 0.177666, 0.514902, 0.000000, 0.000000], [-0.237030, 0.402886, 0.356431, -0.082200, 0.500200, 0.357343, 0.235727, -0.462859, 0.000000, 0.000000]]
fourier: [[25.123246, 26.840805, 27.309642, 28.650214, 28.713434], [13.662974, 14.419647, 18.872809, 19.613520, 147.608251], [26.885832, 29.559723, 30.190164, 30.650638, 93.403774], [48.807886, 54.552586, 57.187283, 57.674072, 380.515909], [20.795215, 21.427591, 23.459726, 27.329459, 223.217081], [72.194465, 77.096221, 79.508811, 79.921117, 407.151680], [36.562977, 39.482062, 40.341085, 43.345011, 73.776632], [26.251996, 26.320885, 32.632290, 36.239671, 256.260413]]
### 6
mean: [0.604899, 4.552802, 0.521780, -2.757139, 4.701086, 3.995605, 3.544920, -1.318469]
std: [0.898302, 4.466049, 1.064329, 2.320343, 4.379074, 3.784483, 3.378095, 0.729947]
pca: [[0.081737, -0.482112, 0.499574, 0.027996, -0.164873, -0.211957, 0.615847, -0.243213, 0.000000, 0.000000], [0.528936, -0.016010, -0.006345, -0.004989, 0.224404, -0.574369, 0.015115, 0.582597, 0.000000, 0.000000], [-0.083480, 0.678514, 0.549457, -0.304800, 0.277543, 0.070108, 0.230166, 0.054053, 0.000000, 0.000000], [-0.267441, -0.463700, 0.123168, 0.023839, 0.745729, 0.292662, -0.035791, 0.233829, 0.000000, 0.000000], [0.518329, 0.065233, -0.409766, -0.196327, 0.411918, 0.147334, 0.288766, -0.495840, 0.000000, 0.000000], [0.447951, 0.096233, 0.181896, 0.560575, -0.131694, 0.597109, 0.107618, 0.239343, 0.000000, 0.000000], [0.398231, -0.262677, 0.365974, -0.532216, -0.152844, 0.223428, -0.525432, -0.076566, 0.000000, 0.000000], [-0.084493, -0.096942, -0.313656, -0.519306, -0.280957, 0.326255, 0.441814, 0.484588, 0.000000, 0.000000]]
fourier: [[12.561990, 13.345380, 13.963847, 20.562265, 54.440944], [70.680213, 78.839337, 78.905945, 79.219476, 409.752191], [15.536282, 16.766472, 17.529567, 20.593166, 46.960182], [36.134147, 40.262293, 40.573067, 41.766066, 248.142537], [69.941227, 75.119126, 77.484560, 77.520695, 423.097772], [60.999066, 66.516083, 66.617337, 66.895810, 359.604450], [51.171934, 58.851272, 59.417889, 64.246253, 319.042785], [12.235855, 12.349087, 12.668993, 12.826875, 118.662193]]
### 8
mean: [-3.003272, 0.423323, -4.037416, 8.306757, -0.432268, 4.766597, -0.156857, 7.953316]
std: [2.394851, 0.529910, 3.333714, 7.822426, 0.252551, 3.472345, 0.320281, 6.996028]
pca: [[-0.201320, -0.439013, -0.373599, 0.230392, -0.351805, 0.584442, 0.311818, -0.107293, 0.000000, 0.000000], [-0.029922, 0.539069, -0.375925, 0.664199, -0.023682, -0.120477, -0.110545, -0.314219, 0.000000, 0.000000], [-0.282042, -0.329033, 0.611529, 0.417097, 0.101899, -0.245068, 0.222819, -0.379686, 0.000000, 0.000000], [0.663285, -0.338139, -0.265110, -0.112975, -0.068219, -0.345625, 0.126519, -0.471752, 0.000000, 0.000000], [0.006709, -0.327284, -0.163766, 0.110050, 0.730008, 0.278599, -0.476503, -0.127773, 0.000000, 0.000000], [0.293523, 0.399626, 0.372512, -0.180622, 0.068061, 0.597127, 0.134277, -0.451143, 0.000000, 0.000000], [-0.025687, 0.139619, -0.216892, -0.025648, 0.568259, -0.066435, 0.760572, 0.162313, 0.000000, 0.000000], [0.593481, -0.088103, 0.249453, 0.523099, -0.013182, 0.160641, 0.036588, 0.526156, 0.000000, 0.000000]]
fourier: [[36.789785, 41.910972, 42.283106, 42.517414, 270.294489], [7.193184, 8.182831, 8.415374, 11.953315, 38.099054], [53.619228, 56.029364, 58.909379, 59.082037, 363.367460], [125.376112, 137.724597, 138.100914, 138.501436, 747.608113], [3.904451, 4.632742, 4.671891, 4.702124, 38.904130], [55.784660, 59.341261, 61.496153, 61.696842, 428.993765], [4.585649, 5.290126, 5.298780, 6.668850, 14.117100], [113.970557, 121.213609, 123.987912, 124.077612, 715.798452]]
### 10
mean: [-2.308908, 2.430156, -0.422440, 8.518235, 9.307038, -4.361505, 4.862283, -1.157605]
std: [1.740205, 2.319722, 0.182256, 7.893951, 8.485358, 3.498729, 4.756426, 0.543577]
pca: [[-0.130465, 0.096863, 0.434000, 0.012242, 0.461179, 0.591658, -0.470505, 0.031141, 0.000000, 0.000000], [0.173775, 0.306555, -0.397242, 0.685601, -0.095366, 0.442943, 0.139926, 0.152000, 0.000000, 0.000000], [-0.013532, -0.067145, 0.149423, -0.162222, 0.351011, 0.304002, 0.838961, -0.164874, 0.000000, 0.000000], [0.591999, 0.141557, 0.360394, 0.341770, 0.184136, -0.312495, -0.039235, -0.499709, 0.000000, 0.000000], [0.636361, -0.104300, -0.146716, -0.247180, 0.348476, -0.053984, -0.025392, 0.613636, 0.000000, 0.000000], [-0.261763, 0.708991, -0.285368, -0.131185, 0.469824, -0.329829, -0.004005, -0.025098, 0.000000, 0.000000], [0.356561, 0.403542, -0.120063, -0.553479, -0.392850, 0.372664, -0.077248, -0.300147, 0.000000, 0.000000], [-0.039045, 0.442383, 0.619884, 0.045091, -0.352991, -0.114421, 0.216848, 0.481422, 0.000000, 0.000000]]
fourier: [[28.633168, 29.763856, 30.905406, 30.908646, 207.801684], [36.940200, 40.960894, 41.039229, 41.398217, 218.714082], [2.761380, 3.190120, 3.216300, 3.455582, 38.019621], [128.105857, 136.223910, 139.492647, 140.137317, 766.641177], [138.406145, 145.690178, 150.072275, 150.701190, 837.633435], [56.935056, 59.130928, 62.070867, 62.160429, 392.535415], [75.933988, 83.509567, 83.816161, 84.451387, 437.605461], [8.449384, 9.291766, 9.671540, 10.074507, 104.184417]]
### 12
mean: [-10.559364]
std: [10.155880]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[166.843190, 172.057603, 179.714032, 180.820980, 950.342825]]
## 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": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.518089, 0.617237, 0.18528, 0.064031, -0.173601], [-0.231257, 0.462236, 0.158036, 0.599114, 0.200992], [-0.622611, 0.015727, 0.069988, -0.155764, 0.568119], [-0.013481, -0.069517, 0.22044, 0.216438, 0.736994], [0.031962, -0.435389, 0.082605, -0.021022, 0.573798], [0.699797, 0.62228, -0.071575, -0.033693, -0.059323], [-0.004387, -0.248023, -0.057708, 0.506968, -0.257969], [0.609794, 0.341531, 0.238936, -0.167284, -0.073029]], "network.0.bias": [0.025942, 0.048617, -0.142984, 0.400217, 0.037719, 0.260121, -0.276192, 0.146324], "network.2.weight": [[0.216424, -0.348869, 0.094081, -0.133693, -0.053697, 0.524577, 0.152968, 0.540336], [-0.191987, -0.223778, 0.016025, -0.155142, -0.07456, 0.320886, -0.285178, -0.270473], [0.377267, 0.270024, -0.48945, 0.119271, 0.057225, 0.340162, 0.201486, 0.414302], [0.066193, 0.269529, 0.060368, 0.510214, 0.221882, -0.006624, -0.078315, 0.01203], [-0.167521, 0.479326, 0.0061, 0.390883, 0.662906, 0.064673, -0.43396, -0.370652], [0.414174, -0.046004, 0.075027, -0.093936, 0.245371, 0.113463, 0.197131, 0.380701], [0.538759, 0.34174, -0.376137, 0.031314, -0.573386, 0.155262, 0.609102, 0.269542], [-0.310911, -0.049575, 0.403911, 0.391722, 0.14632, 0.043676, -0.062797, -0.435249]], "network.2.bias": [0.081691, -0.272371, 0.108336, 0.398748, 0.553809, -0.101113, 0.223358, 0.486263], "network.4.weight": [[-0.484393, -0.276756, 0.24897, 0.355386, 0.090776, -0.04969, -0.478533, 0.187069], [-0.159016, -0.084947, -0.121028, -0.143341, -0.428029, 0.05669, 0.044963, 0.026986], [0.190597, -0.293573, -0.126224, -0.211697, -0.026872, 0.354205, 0.467847, -0.225464], [0.541006, 0.309681, 0.335837, 0.319355, -0.028902, 0.174864, 0.425755, -0.132862], [0.156625, -0.103187, -0.170026, -0.255303, -0.142666, -0.426972, -0.16284, -0.386936], [0.754277, 0.25066, 0.408414, -0.092685, -0.066541, 0.410481, 0.620411, -0.353006], [-0.255808, 0.317932, -0.08378, 0.262431, 0.38642, -0.079859, -0.508311, 0.31023], [-0.236989, 0.268805, -0.395726, -0.303227, -0.143906, 0.129609, -0.207019, -0.037676]], "network.4.bias": [-0.003682, -0.064798, -0.049509, 0.238044, 0.067509, 0.253573, -0.170536, 0.172595], "network.6.weight": [[-0.309426, 0.324063, -0.097461, 0.160475, 0.22936, -0.00907, -0.406312, -0.283452], [-0.037091, 0.135649, 0.160504, 0.390737, 0.037493, 0.617821, -0.503808, -0.014688], [0.579003, 0.105564, -0.301241, 0.436532, 0.082876, -0.27988, 0.235611, 0.111365], [0.005768, 0.268188, 0.173597, -0.236876, -0.071635, -0.433181, -0.236927, 0.056934], [-0.035684, 0.026046, 0.388339, 0.265743, -0.24997, 0.628643, -0.37136, 0.15413], [0.123919, 0.08731, -0.172455, 0.308435, 0.427912, 0.657732, -0.410693, -0.186005], [-0.389288, -0.120769, 0.096731, 0.512105, -0.188581, 0.272269, -0.456528, -0.237903], [-0.337815, 0.11928, 0.204597, -0.123641, 0.177887, -0.144924, 0.24111, 0.216396]], "network.6.bias": [0.432311, 0.116676, -0.037968, 0.138499, 0.39248, 0.020415, 0.40683, -0.347562], "network.8.weight": [[-0.186464, -0.013631, -0.349638, -0.062467, -0.196581, -0.184691, -0.27476, 0.16799], [0.01376, -0.125358, 0.458181, -0.118081, 0.35229, -0.062109, -0.275452, -0.256219], [0.187395, -0.153191, -0.141564, -0.035324, -0.348273, -0.241714, -0.134718, 0.146992], [0.392025, 0.377143, -0.446531, 0.0396, 0.551647, 0.364231, 0.650623, -0.171978], [0.260548, -0.262254, -0.259011, -0.095455, 0.174626, 0.157895, -0.117151, -0.002469], [0.134259, 0.017118, 0.299235, -0.083355, 0.282304, 0.180184, 0.501265, 0.362485], [0.044255, -0.261346, 0.120104, -0.347454, 0.194257, 0.139379, -0.152852, -0.270184], [0.674546, 0.284322, -0.147273, -0.077773, 0.59904, 0.211999, 0.636626, -0.326182]], "network.8.bias": [0.125549, 0.299054, -0.241575, 0.014372, -0.289442, 0.4684, 0.025264, 0.129689], "network.10.weight": [[0.051846, -0.038518, 0.081528, 0.105182, -0.100428, -0.11608, 0.25322, -0.307629], [0.139084, -0.15965, -0.020481, -0.05107, -0.256503, -0.327209, 0.305791, 0.546842], [-0.113857, -0.047899, 0.327518, 0.077847, 0.294195, 0.127768, 0.037088, -0.177155], [-0.149643, -0.271219, -0.092911, 0.67694, 0.284558, -0.251865, 0.321685, 0.502473], [-0.191682, -0.404361, 0.087676, 0.583212, -0.129295, 0.365841, -0.071912, 0.373853], [-0.110168, -0.339886, -0.158825, -0.085979, 0.006914, -0.290609, 0.091541, -0.277661], [0.390649, -0.305437, 0.073429, 0.513561, 0.054017, -0.1154, -0.42783, 0.155181], [0.131662, -0.009369, 0.181976, 0.332737, -0.198671, -0.581953, 0.110982, -0.152018]], "network.10.bias": [-0.185588, 0.106096, -0.25526, 0.099525, -0.15796, 0.105955, 0.002491, 0.022137], "network.12.weight": [[-0.239325, 0.080416, -0.074255, -0.701588, -0.378567, 0.145657, -0.35491, 0.076015]], "network.12.bias": [0.555795]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7173128128051758, "train_acc": 0.435, "val_loss": 0.6959304809570312, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6934750378131866, "train_acc": 0.455, "val_loss": 0.6803285479545593, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6682425737380981, "train_acc": 0.565, "val_loss": 0.6465753316879272, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6403342485427856, "train_acc": 0.49, "val_loss": 0.5554456114768982, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5403761267662048, "train_acc": 0.67, "val_loss": 0.44530653953552246, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.44772692024707794, "train_acc": 0.84, "val_loss": 0.38693150877952576, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.39442403614521027, "train_acc": 0.875, "val_loss": 0.38263076543807983, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3926546275615692, "train_acc": 0.875, "val_loss": 0.36340004205703735, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3845463842153549, "train_acc": 0.875, "val_loss": 0.3937881886959076, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3830748200416565, "train_acc": 0.88, "val_loss": 0.3561879098415375, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.38157087564468384, "train_acc": 0.855, "val_loss": 0.3530982732772827, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.4139993488788605, "train_acc": 0.865, "val_loss": 0.35511407256126404, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.37005653977394104, "train_acc": 0.87, "val_loss": 0.3609565794467926, "val_acc": 0.84}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6959304809570312, "final_val_loss": 0.6465753316879272, "initial_val_acc": 0.46, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5554456114768982, "final_val_loss": 0.3609565794467926, "initial_val_acc": 0.52, "final_val_acc": 0.84, "best_val_acc": 0.88, "best_epoch": 9}, "improvement": 0.33999999999999997, "first_improvement_epoch": 2}}
|
9,697
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.44, "improved_accuracy": 0.98, "improvement": 0.54, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9258, "learning_rate": 0.053832813930977594, "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: 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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[
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],
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}
## Activation Signature
### 0
mean: [2.050354, 0.613832, 0.564722, 1.536114, -0.139827]
std: [1.648202, 1.169064, 1.497194, 2.156264, 1.246989]
pca: [[-0.269020, 0.665413, 0.585998, -0.355641, -0.122394, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.170088, 0.513062, -0.011030, 0.838116, -0.072641, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.417728, 0.457799, -0.396468, -0.318428, 0.597780, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.740379, -0.232851, 0.625465, 0.007431, 0.079738, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.419573, -0.173763, 0.328773, 0.263873, 0.784885, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.574383, 28.697889, 30.110713, 33.762438, 184.531906], [17.855395, 18.489037, 21.772665, 22.624611, 55.244850], [20.182929, 20.430833, 23.576833, 29.509337, 50.824937], [30.070014, 30.937244, 33.556787, 43.115498, 138.250264], [17.217583, 17.579996, 19.889420, 20.873961, 20.889194]]
### 2
mean: [-0.471060, 0.878160, 0.357939, -1.115265, 2.129917]
std: [1.092586, 1.352031, 0.772390, 0.655924, 2.191269]
pca: [[-0.400688, 0.000358, 0.789849, -0.066267, 0.459560, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.274322, 0.883077, -0.265474, 0.136727, 0.236119, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.278433, 0.104938, 0.331546, 0.872350, -0.201359, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.130190, -0.413855, -0.426657, 0.410284, 0.679269, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.818365, 0.194648, 0.117060, -0.218144, 0.480729, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.191171, 17.454890, 19.645976, 20.682137, 42.395400], [20.640793, 21.617414, 22.486528, 23.149772, 79.034375], [11.471719, 11.770730, 13.627433, 14.942889, 32.214487], [9.780439, 10.472027, 11.084297, 12.509972, 100.373852], [33.473781, 34.666571, 39.481256, 39.754841, 191.692521]]
### 4
mean: [-0.280419, 0.117183, 1.405747, 0.248064, 0.831560]
std: [0.827166, 0.842665, 2.237175, 1.061095, 0.888416]
pca: [[-0.273627, 0.464992, 0.808276, -0.133681, -0.194245, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.286743, 0.384127, -0.276431, 0.756909, -0.347706, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.794132, 0.186340, 0.293463, 0.429615, 0.252867, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.371831, 0.286763, -0.065182, 0.092060, 0.875663, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.272033, 0.720606, -0.424155, -0.464945, -0.103165, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.110251, 14.427379, 14.730684, 15.158247, 25.237715], [11.869684, 12.932275, 14.171511, 14.295048, 16.520476], [32.983318, 33.542944, 38.393690, 44.190575, 126.517202], [15.506197, 17.085724, 18.086280, 20.625616, 22.325795], [13.701462, 13.959083, 14.871581, 15.833672, 74.840419]]
### 6
mean: [0.410935, -0.099364, 1.161260, -0.137481, -0.352465]
std: [0.445485, 0.774311, 1.601490, 0.645330, 1.206070]
pca: [[-0.035792, 0.692665, 0.532402, -0.152471, -0.460689, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.301925, 0.632396, -0.377283, -0.147700, 0.587162, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.728247, 0.084438, 0.408018, -0.006511, 0.544064, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.292157, 0.077421, 0.286471, 0.892188, 0.174886, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.540241, -0.327363, 0.570668, -0.398617, 0.341197, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.073864, 7.105233, 7.167944, 10.458453, 36.984170], [11.572780, 12.627656, 13.159902, 13.716672, 15.066522], [23.544330, 23.889514, 27.864858, 31.156482, 104.513420], [9.928013, 10.255792, 11.431703, 11.888564, 12.373293], [17.419654, 18.180511, 20.442196, 25.415241, 31.721886]]
### 8
mean: [-0.553355]
std: [1.201882]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.972935, 19.179231, 21.564934, 21.632191, 49.801971]]
## 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.604801,
0.199808,
-0.157616,
0.083318,
0.429626
],
[
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0.632755
],
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-0.791242,
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0.063467
],
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0.373779,
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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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0.290235,
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"network.6.weight": [
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}
## Activation Signature
### 0
mean: [2.050354, 0.613832, 0.564722, 1.536114, -0.139827]
std: [1.648202, 1.169064, 1.497194, 2.156264, 1.246989]
pca: [[-0.269020, 0.665413, 0.585998, -0.355641, -0.122394, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.170088, 0.513062, -0.011030, 0.838116, -0.072641, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.417728, 0.457799, -0.396468, -0.318428, 0.597780, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.740379, -0.232851, 0.625465, 0.007431, 0.079738, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.419573, -0.173763, 0.328773, 0.263873, 0.784885, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.574383, 28.697889, 30.110713, 33.762438, 184.531906], [17.855395, 18.489037, 21.772665, 22.624611, 55.244850], [20.182929, 20.430833, 23.576833, 29.509337, 50.824937], [30.070014, 30.937244, 33.556787, 43.115498, 138.250264], [17.217583, 17.579996, 19.889420, 20.873961, 20.889194]]
### 2
mean: [-0.471060, 0.878160, 0.357939, -1.115265, 2.129917]
std: [1.092586, 1.352031, 0.772390, 0.655924, 2.191269]
pca: [[-0.400688, 0.000358, 0.789849, -0.066267, 0.459560, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.274322, 0.883077, -0.265474, 0.136727, 0.236119, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.278433, 0.104938, 0.331546, 0.872350, -0.201359, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.130190, -0.413855, -0.426657, 0.410284, 0.679269, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.818365, 0.194648, 0.117060, -0.218144, 0.480729, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.191171, 17.454890, 19.645976, 20.682137, 42.395400], [20.640793, 21.617414, 22.486528, 23.149772, 79.034375], [11.471719, 11.770730, 13.627433, 14.942889, 32.214487], [9.780439, 10.472027, 11.084297, 12.509972, 100.373852], [33.473781, 34.666571, 39.481256, 39.754841, 191.692521]]
### 4
mean: [-0.280419, 0.117183, 1.405747, 0.248064, 0.831560]
std: [0.827166, 0.842665, 2.237175, 1.061095, 0.888416]
pca: [[-0.273627, 0.464992, 0.808276, -0.133681, -0.194245, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.286743, 0.384127, -0.276431, 0.756909, -0.347706, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.794132, 0.186340, 0.293463, 0.429615, 0.252867, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.371831, 0.286763, -0.065182, 0.092060, 0.875663, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.272033, 0.720606, -0.424155, -0.464945, -0.103165, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.110251, 14.427379, 14.730684, 15.158247, 25.237715], [11.869684, 12.932275, 14.171511, 14.295048, 16.520476], [32.983318, 33.542944, 38.393690, 44.190575, 126.517202], [15.506197, 17.085724, 18.086280, 20.625616, 22.325795], [13.701462, 13.959083, 14.871581, 15.833672, 74.840419]]
### 6
mean: [0.410935, -0.099364, 1.161260, -0.137481, -0.352465]
std: [0.445485, 0.774311, 1.601490, 0.645330, 1.206070]
pca: [[-0.035792, 0.692665, 0.532402, -0.152471, -0.460689, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.301925, 0.632396, -0.377283, -0.147700, 0.587162, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.728247, 0.084438, 0.408018, -0.006511, 0.544064, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.292157, 0.077421, 0.286471, 0.892188, 0.174886, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.540241, -0.327363, 0.570668, -0.398617, 0.341197, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.073864, 7.105233, 7.167944, 10.458453, 36.984170], [11.572780, 12.627656, 13.159902, 13.716672, 15.066522], [23.544330, 23.889514, 27.864858, 31.156482, 104.513420], [9.928013, 10.255792, 11.431703, 11.888564, 12.373293], [17.419654, 18.180511, 20.442196, 25.415241, 31.721886]]
### 8
mean: [-0.553355]
std: [1.201882]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.972935, 19.179231, 21.564934, 21.632191, 49.801971]]
## 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": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.604801, 0.199808, -0.157616, 0.083318, 0.429626], [-0.099758, 0.094643, -0.366686, 0.004111, 0.59007], [-0.37329, -0.294718, 0.11744, 0.094291, 0.632755], [-0.791242, 0.295487, 0.238514, 0.639318, 0.063467], [0.373779, 0.343386, -0.115306, -0.222817, -0.316927]], "network.0.bias": [0.554316, 0.594912, 0.338383, 0.03484, -0.121144], "network.2.weight": [[0.120152, -0.252167, -0.231068, -0.47702, 0.013575], [0.515769, 0.206862, -0.515016, -0.024906, 0.656226], [-0.076138, 0.589226, 0.012712, 0.221917, 0.005894], [-0.293417, -0.336156, 0.122735, -0.154381, 0.107129], [-0.089833, 0.727819, 0.641242, 0.750977, -0.152939]], "network.2.bias": [0.489936, -0.02265, -0.298015, -0.162153, 0.014692], "network.4.weight": [[0.765806, 0.241524, 0.102236, 0.000315, -0.211597], [0.355603, 0.338334, -0.278215, -0.10236, -0.132152], [0.084461, -0.507725, 0.403046, -0.012596, 0.793795], [0.290235, 0.353758, -0.135938, -0.367298, -0.291595], [0.136791, 0.111226, 0.373537, -0.056463, 0.33628]], "network.4.bias": [-0.160444, 0.157154, -0.033267, 0.542375, -0.155029], "network.6.weight": [[0.125983, 0.177156, 0.045899, 0.381155, 0.294634], [0.327741, 0.172923, 0.007919, 0.621118, -0.094478], [-0.073969, -0.777384, 0.425642, -0.260135, 0.358006], [-0.15528, 0.019321, -0.199954, 0.551735, 0.020594], [0.393231, 0.41421, -0.613608, -0.24189, 0.123628]], "network.6.bias": [-0.101688, -0.383171, 0.52285, -0.048518, 0.513856], "network.8.weight": [[0.107076, 0.21076, -0.564753, 0.839385, 0.37473]], "network.8.bias": [-0.027109]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6845953166484833, "train_acc": 0.585, "val_loss": 0.7100325226783752, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6604006290435791, "train_acc": 0.585, "val_loss": 0.6913665533065796, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6075877845287323, "train_acc": 0.585, "val_loss": 0.572050929069519, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.4993310123682022, "train_acc": 0.685, "val_loss": 0.24735191464424133, "val_acc": 0.98}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.26686300337314606, "train_acc": 0.92, "val_loss": 0.40988555550575256, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.39138905704021454, "train_acc": 0.885, "val_loss": 0.17269673943519592, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.30996230244636536, "train_acc": 0.93, "val_loss": 0.19141189754009247, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.23517082631587982, "train_acc": 0.925, "val_loss": 0.26913222670555115, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2578730881214142, "train_acc": 0.93, "val_loss": 0.23935145139694214, "val_acc": 0.94}], "summary": {"total_epochs": 9, "degraded_epochs": 3, "improved_epochs": 6, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7100325226783752, "final_val_loss": 0.572050929069519, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.24735191464424133, "final_val_loss": 0.23935145139694214, "initial_val_acc": 0.98, "final_val_acc": 0.94, "best_val_acc": 0.98, "best_epoch": 3}, "improvement": 0.54, "first_improvement_epoch": 2}}
|
9,698
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.44, "improved_accuracy": 0.62, "improvement": 0.18, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9880, "learning_rate": 0.06684594676098761, "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [0.032034, 0.342752, -0.481135, -0.608614, -3.050580, 1.150614, 0.082551]
std: [1.990702, 2.007157, 1.571200, 1.173080, 1.801640, 1.858331, 1.616172]
pca: [[0.517664, -0.348411, -0.248627, -0.169337, -0.611501, 0.193182, 0.329985, 0.000000, 0.000000, 0.000000], [0.506450, -0.353133, -0.283816, 0.301665, 0.662192, 0.081063, -0.046718, 0.000000, 0.000000, 0.000000], [-0.355635, -0.174600, 0.090601, 0.750294, -0.141632, 0.350374, 0.359260, 0.000000, 0.000000, 0.000000], [0.140187, 0.199475, 0.462813, -0.348622, 0.309157, 0.604231, 0.379673, 0.000000, 0.000000, 0.000000], [0.123496, -0.518539, 0.730497, 0.023902, -0.013804, -0.423734, 0.043913, 0.000000, 0.000000, 0.000000], [0.393592, 0.593822, 0.063275, 0.304020, -0.010202, -0.438655, 0.451117, 0.000000, 0.000000, 0.000000], [-0.399047, -0.249245, -0.312409, -0.320697, 0.267648, -0.310297, 0.640526, 0.000000, 0.000000, 0.000000]]
fourier: [[30.750964, 31.122109, 34.610263, 39.351716, 43.025652], [30.847665, 33.716717, 39.068508, 39.997893, 40.801932], [22.690072, 23.274074, 28.233110, 28.628822, 43.302155], [18.896516, 18.909931, 21.995834, 26.052404, 54.775266], [27.126027, 27.204183, 31.677702, 38.077413, 274.552170], [30.048431, 30.907896, 31.877781, 35.853098, 103.555296], [24.246914, 26.228572, 28.353843, 32.581811, 33.951139]]
### 2
mean: [-0.810713, 2.166900, -1.615759, -0.792877, -1.376507, -0.168369, -1.182208]
std: [2.134350, 1.873427, 1.097781, 1.494655, 0.728381, 0.344750, 0.699946]
pca: [[0.628601, -0.224143, -0.449203, -0.474871, -0.111398, -0.027913, 0.337855, 0.000000, 0.000000, 0.000000], [-0.555076, -0.263299, 0.023033, -0.112108, 0.126492, -0.079041, 0.766302, 0.000000, 0.000000, 0.000000], [0.272586, -0.248708, 0.853119, -0.324111, 0.058549, -0.165546, 0.012195, 0.000000, 0.000000, 0.000000], [0.443760, -0.101244, 0.076250, 0.777429, 0.189302, -0.153524, 0.351014, 0.000000, 0.000000, 0.000000], [0.131773, 0.553521, 0.248999, -0.009328, -0.304647, 0.607809, 0.389770, 0.000000, 0.000000, 0.000000], [0.049142, -0.292650, -0.030736, -0.042488, 0.666415, 0.672900, -0.110846, 0.000000, 0.000000, 0.000000], [0.075806, 0.645211, -0.033392, -0.224929, 0.628815, -0.346080, 0.105206, 0.000000, 0.000000, 0.000000]]
fourier: [[33.819062, 34.298208, 36.261054, 45.968101, 72.964201], [27.054316, 31.067149, 32.803143, 35.675169, 195.020989], [16.319963, 16.493558, 21.301573, 22.779786, 145.418346], [23.242077, 24.734201, 25.301073, 29.770332, 71.358943], [11.010861, 11.045801, 11.463082, 11.709437, 123.885590], [5.822788, 5.935389, 6.281084, 7.370900, 15.153214], [9.671126, 10.856438, 11.257539, 11.408004, 106.398735]]
### 4
mean: [-0.469431, -0.313799, -0.905027, -0.748704, 1.519211, -0.223109, -0.693331]
std: [0.342166, 0.212937, 0.608530, 0.391169, 1.487085, 0.020699, 1.605916]
pca: [[0.149126, 0.057548, 0.569310, 0.621405, 0.268672, 0.434252, -0.058580, 0.000000, 0.000000, 0.000000], [0.093369, 0.018533, 0.164034, -0.409897, 0.615196, -0.129053, -0.633163, 0.000000, 0.000000, 0.000000], [-0.222611, 0.601794, -0.013274, -0.327447, -0.257570, 0.617370, -0.182764, 0.000000, 0.000000, 0.000000], [-0.077606, 0.618506, -0.467493, 0.371771, 0.435280, -0.228306, 0.114330, 0.000000, 0.000000, 0.000000], [-0.644555, -0.466960, -0.354385, 0.135362, 0.273245, 0.371795, -0.098447, 0.000000, 0.000000, 0.000000], [-0.004760, 0.002992, 0.184969, -0.426300, 0.460754, 0.182678, 0.733729, 0.000000, 0.000000, 0.000000], [0.705685, -0.183245, -0.520048, -0.018731, 0.081129, 0.435773, -0.033897, 0.000000, 0.000000, 0.000000]]
fourier: [[4.540418, 5.581515, 5.801913, 6.896523, 42.248810], [3.106466, 3.440465, 3.739532, 4.323789, 28.241943], [8.960243, 9.447552, 10.000418, 13.452618, 81.452417], [5.934473, 6.538312, 6.603817, 6.810880, 67.383320], [20.892493, 25.107647, 25.461013, 28.961549, 136.728962], [0.335141, 0.369953, 0.382035, 0.382443, 20.079856], [23.028447, 24.271391, 27.158179, 34.456262, 62.399799]]
### 6
mean: [-0.199143, -0.468803, -0.350180, -0.546002, -0.734485, -0.470347, -0.594659]
std: [1.046766, 0.570810, 0.130833, 0.118278, 0.350807, 0.179207, 0.522696]
pca: [[0.799221, -0.151481, -0.188907, 0.023876, 0.105825, -0.405352, -0.355715, 0.000000, 0.000000, 0.000000], [0.426425, 0.295248, 0.694804, 0.124952, -0.418775, 0.217880, 0.098895, 0.000000, 0.000000, 0.000000], [0.094344, 0.104999, 0.306403, 0.186965, 0.728243, -0.243658, 0.511399, 0.000000, 0.000000, 0.000000], [0.083475, 0.109920, -0.161160, 0.616014, 0.316578, 0.606000, -0.328704, 0.000000, 0.000000, 0.000000], [0.001196, 0.846537, -0.409212, 0.128467, -0.147929, -0.254156, 0.113743, 0.000000, 0.000000, 0.000000], [-0.060843, 0.387478, 0.250267, -0.595842, 0.397013, 0.129515, -0.504087, 0.000000, 0.000000, 0.000000], [0.399793, -0.003384, -0.362791, -0.444810, 0.058028, 0.529380, 0.476518, 0.000000, 0.000000, 0.000000]]
fourier: [[14.486626, 16.239068, 17.922881, 18.281897, 22.172692], [8.572712, 9.780995, 10.065343, 10.748396, 42.192301], [2.167585, 2.184827, 2.273261, 2.383282, 31.516194], [1.908003, 2.006814, 2.018549, 2.156310, 49.140205], [6.078947, 6.442325, 6.584324, 6.607656, 66.103620], [2.766094, 3.034060, 3.103817, 3.219136, 42.331257], [7.193512, 8.364945, 9.144616, 10.898744, 53.519310]]
### 8
mean: [-0.010722]
std: [0.315249]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.359844, 4.475260, 4.744632, 5.004803, 6.659459]]
## 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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
mean: [0.032034, 0.342752, -0.481135, -0.608614, -3.050580, 1.150614, 0.082551]
std: [1.990702, 2.007157, 1.571200, 1.173080, 1.801640, 1.858331, 1.616172]
pca: [[0.517664, -0.348411, -0.248627, -0.169337, -0.611501, 0.193182, 0.329985, 0.000000, 0.000000, 0.000000], [0.506450, -0.353133, -0.283816, 0.301665, 0.662192, 0.081063, -0.046718, 0.000000, 0.000000, 0.000000], [-0.355635, -0.174600, 0.090601, 0.750294, -0.141632, 0.350374, 0.359260, 0.000000, 0.000000, 0.000000], [0.140187, 0.199475, 0.462813, -0.348622, 0.309157, 0.604231, 0.379673, 0.000000, 0.000000, 0.000000], [0.123496, -0.518539, 0.730497, 0.023902, -0.013804, -0.423734, 0.043913, 0.000000, 0.000000, 0.000000], [0.393592, 0.593822, 0.063275, 0.304020, -0.010202, -0.438655, 0.451117, 0.000000, 0.000000, 0.000000], [-0.399047, -0.249245, -0.312409, -0.320697, 0.267648, -0.310297, 0.640526, 0.000000, 0.000000, 0.000000]]
fourier: [[30.750964, 31.122109, 34.610263, 39.351716, 43.025652], [30.847665, 33.716717, 39.068508, 39.997893, 40.801932], [22.690072, 23.274074, 28.233110, 28.628822, 43.302155], [18.896516, 18.909931, 21.995834, 26.052404, 54.775266], [27.126027, 27.204183, 31.677702, 38.077413, 274.552170], [30.048431, 30.907896, 31.877781, 35.853098, 103.555296], [24.246914, 26.228572, 28.353843, 32.581811, 33.951139]]
### 2
mean: [-0.810713, 2.166900, -1.615759, -0.792877, -1.376507, -0.168369, -1.182208]
std: [2.134350, 1.873427, 1.097781, 1.494655, 0.728381, 0.344750, 0.699946]
pca: [[0.628601, -0.224143, -0.449203, -0.474871, -0.111398, -0.027913, 0.337855, 0.000000, 0.000000, 0.000000], [-0.555076, -0.263299, 0.023033, -0.112108, 0.126492, -0.079041, 0.766302, 0.000000, 0.000000, 0.000000], [0.272586, -0.248708, 0.853119, -0.324111, 0.058549, -0.165546, 0.012195, 0.000000, 0.000000, 0.000000], [0.443760, -0.101244, 0.076250, 0.777429, 0.189302, -0.153524, 0.351014, 0.000000, 0.000000, 0.000000], [0.131773, 0.553521, 0.248999, -0.009328, -0.304647, 0.607809, 0.389770, 0.000000, 0.000000, 0.000000], [0.049142, -0.292650, -0.030736, -0.042488, 0.666415, 0.672900, -0.110846, 0.000000, 0.000000, 0.000000], [0.075806, 0.645211, -0.033392, -0.224929, 0.628815, -0.346080, 0.105206, 0.000000, 0.000000, 0.000000]]
fourier: [[33.819062, 34.298208, 36.261054, 45.968101, 72.964201], [27.054316, 31.067149, 32.803143, 35.675169, 195.020989], [16.319963, 16.493558, 21.301573, 22.779786, 145.418346], [23.242077, 24.734201, 25.301073, 29.770332, 71.358943], [11.010861, 11.045801, 11.463082, 11.709437, 123.885590], [5.822788, 5.935389, 6.281084, 7.370900, 15.153214], [9.671126, 10.856438, 11.257539, 11.408004, 106.398735]]
### 4
mean: [-0.469431, -0.313799, -0.905027, -0.748704, 1.519211, -0.223109, -0.693331]
std: [0.342166, 0.212937, 0.608530, 0.391169, 1.487085, 0.020699, 1.605916]
pca: [[0.149126, 0.057548, 0.569310, 0.621405, 0.268672, 0.434252, -0.058580, 0.000000, 0.000000, 0.000000], [0.093369, 0.018533, 0.164034, -0.409897, 0.615196, -0.129053, -0.633163, 0.000000, 0.000000, 0.000000], [-0.222611, 0.601794, -0.013274, -0.327447, -0.257570, 0.617370, -0.182764, 0.000000, 0.000000, 0.000000], [-0.077606, 0.618506, -0.467493, 0.371771, 0.435280, -0.228306, 0.114330, 0.000000, 0.000000, 0.000000], [-0.644555, -0.466960, -0.354385, 0.135362, 0.273245, 0.371795, -0.098447, 0.000000, 0.000000, 0.000000], [-0.004760, 0.002992, 0.184969, -0.426300, 0.460754, 0.182678, 0.733729, 0.000000, 0.000000, 0.000000], [0.705685, -0.183245, -0.520048, -0.018731, 0.081129, 0.435773, -0.033897, 0.000000, 0.000000, 0.000000]]
fourier: [[4.540418, 5.581515, 5.801913, 6.896523, 42.248810], [3.106466, 3.440465, 3.739532, 4.323789, 28.241943], [8.960243, 9.447552, 10.000418, 13.452618, 81.452417], [5.934473, 6.538312, 6.603817, 6.810880, 67.383320], [20.892493, 25.107647, 25.461013, 28.961549, 136.728962], [0.335141, 0.369953, 0.382035, 0.382443, 20.079856], [23.028447, 24.271391, 27.158179, 34.456262, 62.399799]]
### 6
mean: [-0.199143, -0.468803, -0.350180, -0.546002, -0.734485, -0.470347, -0.594659]
std: [1.046766, 0.570810, 0.130833, 0.118278, 0.350807, 0.179207, 0.522696]
pca: [[0.799221, -0.151481, -0.188907, 0.023876, 0.105825, -0.405352, -0.355715, 0.000000, 0.000000, 0.000000], [0.426425, 0.295248, 0.694804, 0.124952, -0.418775, 0.217880, 0.098895, 0.000000, 0.000000, 0.000000], [0.094344, 0.104999, 0.306403, 0.186965, 0.728243, -0.243658, 0.511399, 0.000000, 0.000000, 0.000000], [0.083475, 0.109920, -0.161160, 0.616014, 0.316578, 0.606000, -0.328704, 0.000000, 0.000000, 0.000000], [0.001196, 0.846537, -0.409212, 0.128467, -0.147929, -0.254156, 0.113743, 0.000000, 0.000000, 0.000000], [-0.060843, 0.387478, 0.250267, -0.595842, 0.397013, 0.129515, -0.504087, 0.000000, 0.000000, 0.000000], [0.399793, -0.003384, -0.362791, -0.444810, 0.058028, 0.529380, 0.476518, 0.000000, 0.000000, 0.000000]]
fourier: [[14.486626, 16.239068, 17.922881, 18.281897, 22.172692], [8.572712, 9.780995, 10.065343, 10.748396, 42.192301], [2.167585, 2.184827, 2.273261, 2.383282, 31.516194], [1.908003, 2.006814, 2.018549, 2.156310, 49.140205], [6.078947, 6.442325, 6.584324, 6.607656, 66.103620], [2.766094, 3.034060, 3.103817, 3.219136, 42.331257], [7.193512, 8.364945, 9.144616, 10.898744, 53.519310]]
### 8
mean: [-0.010722]
std: [0.315249]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.359844, 4.475260, 4.744632, 5.004803, 6.659459]]
## 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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"fourier": [14.486625550868782, 16.239067790260208, 17.922881066799164, 18.281897171377608, 22.172691549807343]}, "1": {"mean": -0.46880337595939636, "std": 0.5708104968070984, "pca": [0.4264250099658966, 0.2952479124069214, 0.6948043704032898, 0.12495219707489014, -0.4187747538089752, 0.2178800255060196, 0.0988948866724968, 0.0, 0.0, 0.0], "fourier": [8.57271211750822, 9.780994906597169, 10.065343342460958, 10.748395577993838, 42.19230103492737]}, "2": {"mean": -0.35017991065979004, "std": 0.13083338737487793, "pca": [0.09434401243925095, 0.10499867796897888, 0.3064030408859253, 0.18696488440036774, 0.7282428741455078, -0.24365779757499695, 0.5113990902900696, 0.0, 0.0, 0.0], "fourier": [2.1675852254928496, 2.184827088905627, 2.273260758044314, 2.383282092038348, 31.516193628311157]}, "3": {"mean": -0.5460022687911987, "std": 0.11827779561281204, "pca": [0.0834745541214943, 0.10991955548524857, -0.16115988790988922, 0.6160137057304382, 0.3165782690048218, 0.6060000658035278, 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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": [[-1.083369, 0.339369, 0.380709, -0.023896, 0.203647], [-1.047476, 0.755319, 0.181194, -0.394827, 0.406692], [0.503564, -0.064325, 0.066709, -0.421714, -0.417228], [-0.065295, -0.031801, -0.506022, 0.265741, 0.0109], [-0.397624, -0.16549, -0.393897, -0.314246, -0.293829], [-0.322721, 0.780278, -0.274045, 0.378253, 0.016827], [0.492541, -0.603013, 0.299624, -0.18233, 0.160598]], "network.0.bias": [-0.233359, 0.236521, 0.288997, 0.004303, -0.395118, -0.129062, 0.13548], "network.2.weight": [[-0.455925, -0.651429, 0.36153, -0.619417, 0.133634, -0.547637, 0.452021], [0.365067, 0.367655, -0.240779, 0.472746, -0.16962, 0.822564, -0.027868], [-0.363323, -0.563088, -0.197503, -0.152879, -0.005288, -0.226496, -0.280294], [-0.458326, -0.361383, 0.022112, 0.115815, -0.042947, -0.566435, 0.179196], [0.007871, 0.08825, 0.054233, -0.389487, 0.122439, -0.474031, -0.352545], [-0.237496, -0.094074, -0.011471, 0.056948, 0.302112, 0.11692, 0.158155], [0.096824, 0.259025, 0.328709, -0.320334, -0.247103, -0.437161, -0.341191]], "network.2.bias": [0.655814, 0.389857, -0.187406, 0.573671, -0.538663, -0.154471, -0.76241], "network.4.weight": [[0.196414, -0.156224, -0.200838, -0.168113, 0.356363, -0.364506, -0.161999], [0.029171, -0.092753, -0.257679, 0.114645, 0.35699, -0.131831, -0.277376], [-0.476512, 0.055406, 0.338678, -0.380023, 0.034488, -0.298392, 0.104014], [-0.364541, -0.098029, 0.125696, -0.467708, -0.240856, -0.067943, 0.002062], [-0.226982, 0.748836, -0.061567, -0.006321, 0.100783, 0.62947, 0.094879], [-0.028275, 0.007304, -0.370634, 0.084358, -0.291786, -0.111937, -0.216383], [0.502573, -0.643598, 0.180507, 0.46476, 0.074696, 0.221084, -0.05842]], "network.4.bias": [-0.159078, -0.139531, -0.712203, -0.267921, -0.048161, -0.235995, 0.370382], "network.6.weight": [[0.342672, -0.089853, 0.056973, 0.083575, -0.562259, 0.250914, 0.513006], [-0.367229, -0.071933, -0.168318, -0.147501, -0.392587, -0.191434, 0.025061], [-0.183899, 0.055771, -0.033576, -0.098839, -0.096666, -0.15936, -0.020723], [0.041153, 0.257538, 0.278297, 0.182698, -0.090484, -0.36171, -0.037203], [-0.051203, -0.169217, -0.246211, -0.055414, -0.21132, 0.13289, -0.582752], [-0.24155, -0.37137, -0.19676, 0.072859, -0.049792, -0.08322, -0.290038], [0.315839, -0.29232, 0.027979, 0.146201, -0.299143, 0.35803, 0.206654]], "network.6.bias": [0.493961, 0.137623, -0.190933, -0.392108, -0.194661, -0.286446, -0.202199], "network.8.weight": [[-0.55392, -0.006404, -0.370128, -0.222257, 0.076265, -0.199748, -0.217413]], "network.8.bias": [0.171711]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7038464844226837, "train_acc": 0.41, "val_loss": 0.7090701460838318, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6782160103321075, "train_acc": 0.59, "val_loss": 0.7223901152610779, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6577667891979218, "train_acc": 0.59, "val_loss": 0.7066468596458435, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6244550347328186, "train_acc": 0.59, "val_loss": 0.6879724860191345, "val_acc": 0.44}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6105517148971558, "train_acc": 0.59, "val_loss": 0.6129566431045532, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.7054896354675293, "train_acc": 0.515, "val_loss": 0.6348613500595093, "val_acc": 0.44}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6510655879974365, "train_acc": 0.52, "val_loss": 0.6848580837249756, "val_acc": 0.6}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6746878623962402, "train_acc": 0.54, "val_loss": 0.6810643672943115, "val_acc": 0.6}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.6804733872413635, "train_acc": 0.55, "val_loss": 0.6690455675125122, "val_acc": 0.62}], "summary": {"total_epochs": 9, "degraded_epochs": 5, "improved_epochs": 4, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.7090701460838318, "final_val_loss": 0.6129566431045532, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.6348613500595093, "final_val_loss": 0.6690455675125122, "initial_val_acc": 0.44, "final_val_acc": 0.62, "best_val_acc": 0.62, "best_epoch": 8}, "improvement": 0.18, "first_improvement_epoch": 4}}
|
9,699
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.44, "improved_accuracy": 0.9, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8599, "learning_rate": 0.05392105948239165, "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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],
[
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],
[
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0.41336,
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-0.255838
],
[
-0.540173,
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0.022869,
0.081201
],
[
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0.310093,
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0.645171
],
[
-0.301651,
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0.02735
]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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],
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],
[
0.080841,
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0.091078,
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],
[
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],
[
0.189253,
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0.083905,
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],
[
0.464494,
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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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[
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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: [0.471073, -2.269068, 0.520267, -1.420809, 2.181129, -1.254825]
std: [1.495199, 1.866485, 1.910846, 1.225228, 2.307773, 0.988783]
pca: [[0.382875, 0.190243, 0.461067, 0.686318, -0.354822, 0.087758, 0.000000, 0.000000, 0.000000, 0.000000], [-0.459877, -0.386443, 0.640084, -0.272429, -0.393460, 0.020929, 0.000000, 0.000000, 0.000000, 0.000000], [0.529809, 0.084755, 0.242670, -0.517615, 0.083405, 0.615101, 0.000000, 0.000000, 0.000000, 0.000000], [-0.324725, -0.149091, 0.255538, 0.365570, 0.710412, 0.410729, 0.000000, 0.000000, 0.000000, 0.000000], [-0.450342, 0.863981, 0.092524, -0.113462, -0.085236, 0.148423, 0.000000, 0.000000, 0.000000, 0.000000], [-0.230147, -0.196456, -0.494934, 0.200774, -0.447642, 0.650218, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.845990, 23.119649, 24.081536, 24.972348, 42.396541], [31.329849, 31.852112, 34.236214, 39.777239, 204.216171], [30.073987, 30.591723, 31.010468, 34.585046, 46.823986], [20.135389, 21.919115, 22.312475, 23.560208, 127.872832], [34.511144, 36.444098, 36.688022, 37.541037, 196.301603], [14.828240, 17.633386, 18.198180, 18.362431, 112.934254]]
### 2
mean: [1.257523, 2.327148, -0.080350, -1.354049, 0.215694, 0.725952]
std: [1.290866, 1.301933, 0.556128, 0.716702, 1.839703, 1.743480]
pca: [[-0.414393, 0.264309, -0.364604, 0.225220, 0.471526, 0.593652, 0.000000, 0.000000, 0.000000, 0.000000], [-0.343857, 0.638105, 0.490564, 0.243482, -0.417584, 0.016471, 0.000000, 0.000000, 0.000000, 0.000000], [-0.177300, -0.115827, 0.522770, 0.219294, 0.695740, -0.386932, 0.000000, 0.000000, 0.000000, 0.000000], [0.100157, -0.525403, 0.485434, 0.238825, -0.150912, 0.631238, 0.000000, 0.000000, 0.000000, 0.000000], [0.605396, 0.194955, -0.168903, 0.748060, 0.034044, -0.078784, 0.000000, 0.000000, 0.000000, 0.000000], [0.549609, 0.442144, 0.298240, -0.474627, 0.308706, 0.304831, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.036527, 20.047118, 20.308758, 22.247725, 113.177053], [19.756928, 21.900288, 22.151646, 22.776098, 209.443315], [8.586508, 8.890645, 9.171946, 9.554464, 9.969326], [11.623227, 12.075608, 12.086246, 13.142176, 121.864412], [26.847684, 27.040659, 30.633566, 32.287429, 32.436618], [28.317619, 30.059153, 30.181415, 31.022727, 65.335649]]
### 4
mean: [2.440334, 1.338848, -0.875623, -0.627858, 1.553048, 0.667115]
std: [2.542220, 3.494057, 2.840259, 0.817313, 2.515736, 2.342092]
pca: [[0.402229, 0.730293, 0.441814, -0.281665, 0.080632, -0.154429, 0.000000, 0.000000, 0.000000, 0.000000], [0.559606, -0.352548, -0.133900, -0.580182, -0.363212, 0.275839, 0.000000, 0.000000, 0.000000, 0.000000], [-0.454665, -0.231426, 0.589991, -0.289118, -0.463460, -0.305364, 0.000000, 0.000000, 0.000000, 0.000000], [-0.129201, -0.139448, 0.510691, -0.043568, 0.383087, 0.744582, 0.000000, 0.000000, 0.000000, 0.000000], [0.403353, -0.069323, 0.322769, 0.704678, -0.466944, 0.117103, 0.000000, 0.000000, 0.000000, 0.000000], [0.372755, -0.514366, 0.271655, 0.044674, 0.531025, -0.488570, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.309917, 39.415545, 39.420798, 44.726844, 219.630030], [53.805106, 54.165646, 55.445322, 65.259663, 120.496309], [43.797167, 44.484149, 46.688903, 50.558388, 78.806087], [12.616889, 13.293067, 13.492424, 14.890832, 56.507177], [38.061477, 38.455574, 38.456900, 47.352779, 139.774311], [36.618694, 36.852272, 39.145540, 45.268663, 60.040354]]
### 6
mean: [4.377410, 3.470580, 7.496857, -3.968914, -1.519259, 5.093508]
std: [3.653984, 2.645003, 5.789465, 4.079778, 1.972075, 4.785201]
pca: [[0.371713, 0.192193, 0.070317, -0.466839, 0.497925, -0.595045, 0.000000, 0.000000, 0.000000, 0.000000], [0.264267, 0.549282, -0.293249, -0.387388, 0.017218, 0.626171, 0.000000, 0.000000, 0.000000, 0.000000], [0.588356, 0.413703, 0.080720, 0.586481, -0.302158, -0.202267, 0.000000, 0.000000, 0.000000, 0.000000], [-0.412332, 0.522923, 0.743184, -0.055604, -0.015983, 0.029395, 0.000000, 0.000000, 0.000000, 0.000000], [-0.200008, 0.190726, -0.194197, 0.532961, 0.763983, 0.134873, 0.000000, 0.000000, 0.000000, 0.000000], [0.485601, -0.424706, 0.559026, 0.029887, 0.276674, 0.440300, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[57.058019, 57.538208, 57.768177, 68.857796, 393.966865], [40.875292, 41.476813, 41.608448, 50.715291, 312.352183], [90.340024, 90.902429, 91.753641, 109.395189, 674.717110], [64.368469, 64.787412, 68.498386, 69.503474, 357.202202], [30.971894, 31.565015, 31.946613, 35.577940, 136.733294], [75.069879, 76.858192, 77.230052, 86.689743, 458.415695]]
### 8
mean: [-16.608459]
std: [13.156186]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[206.389421, 206.684770, 207.393781, 250.667756, 1494.761254]]
## 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:
{
"network.0.weight": [
[
0.582076,
0.38497,
-0.335701,
-0.093797,
0.124413
],
[
-0.94,
0.053001,
0.051765,
-0.166889,
-0.021278
],
[
0.781857,
0.41336,
-0.114068,
-0.091813,
-0.255838
],
[
-0.540173,
-0.12105,
-0.072174,
0.022869,
0.081201
],
[
-0.635522,
-0.125184,
0.310093,
0.669303,
0.645171
],
[
-0.301651,
-0.339658,
0.126357,
-0.062341,
0.02735
]
],
"network.0.bias": [
-0.205848,
-0.919873,
-0.455249,
-0.526439,
0.321369,
-0.424498
],
"network.2.weight": [
[
-0.123677,
-0.110803,
-0.162619,
-0.226496,
0.509192,
-0.321606
],
[
0.38595,
-0.307875,
-0.188523,
-0.508404,
0.628657,
-0.905055
],
[
0.080841,
-0.372002,
-0.308569,
-0.382582,
0.091078,
-0.131144
],
[
-0.046578,
0.018134,
-0.215899,
-0.131663,
-0.369063,
0.270154
],
[
0.189253,
0.061442,
0.659381,
0.083905,
-0.425739,
-0.217662
],
[
0.464494,
0.068079,
0.56023,
-0.160336,
-0.256617,
-0.096284
]
],
"network.2.bias": [
0.238881,
0.585433,
-0.178675,
-0.274113,
0.502248,
0.496839
],
"network.4.weight": [
[
0.196374,
1.004134,
-0.676007,
-0.210365,
-0.465751,
-0.512789
],
[
0.728319,
0.437914,
-0.465067,
-0.249274,
-0.767594,
-0.929813
],
[
-0.685514,
-0.423167,
-0.706568,
0.101578,
0.53071,
0.630312
],
[
-0.312202,
-0.056413,
-0.509917,
0.344686,
0.021666,
0.237772
],
[
0.279295,
0.580102,
-0.243722,
-0.649431,
-0.717175,
-0.499119
],
[
0.470897,
0.187847,
-0.488472,
-0.213576,
-0.838032,
-0.424169
]
],
"network.4.bias": [
0.699551,
0.745013,
0.108761,
-0.251433,
0.749572,
0.583285
],
"network.6.weight": [
[
0.423268,
0.807737,
-0.234849,
0.137639,
0.594355,
0.257678
],
[
0.442228,
0.529633,
0.050778,
0.473492,
0.517535,
0.186249
],
[
0.710261,
1.008644,
-0.208805,
-0.203526,
1.037795,
0.764857
],
[
-0.637068,
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0.578286,
0.312401,
-0.8058,
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],
[
-0.183865,
-0.462601,
0.314301,
0.016677,
-0.151145,
-0.180668
],
[
0.353132,
0.925972,
-0.644043,
-0.473102,
0.683816,
0.54911
]
],
"network.6.bias": [
0.017725,
-0.279359,
0.310478,
0.179905,
0.33744,
0.402031
],
"network.8.weight": [
[
-0.858706,
-0.601781,
-1.02972,
0.351788,
0.18434,
-0.603931
]
],
"network.8.bias": [
0.288234
]
}
## Activation Signature
### 0
mean: [0.471073, -2.269068, 0.520267, -1.420809, 2.181129, -1.254825]
std: [1.495199, 1.866485, 1.910846, 1.225228, 2.307773, 0.988783]
pca: [[0.382875, 0.190243, 0.461067, 0.686318, -0.354822, 0.087758, 0.000000, 0.000000, 0.000000, 0.000000], [-0.459877, -0.386443, 0.640084, -0.272429, -0.393460, 0.020929, 0.000000, 0.000000, 0.000000, 0.000000], [0.529809, 0.084755, 0.242670, -0.517615, 0.083405, 0.615101, 0.000000, 0.000000, 0.000000, 0.000000], [-0.324725, -0.149091, 0.255538, 0.365570, 0.710412, 0.410729, 0.000000, 0.000000, 0.000000, 0.000000], [-0.450342, 0.863981, 0.092524, -0.113462, -0.085236, 0.148423, 0.000000, 0.000000, 0.000000, 0.000000], [-0.230147, -0.196456, -0.494934, 0.200774, -0.447642, 0.650218, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.845990, 23.119649, 24.081536, 24.972348, 42.396541], [31.329849, 31.852112, 34.236214, 39.777239, 204.216171], [30.073987, 30.591723, 31.010468, 34.585046, 46.823986], [20.135389, 21.919115, 22.312475, 23.560208, 127.872832], [34.511144, 36.444098, 36.688022, 37.541037, 196.301603], [14.828240, 17.633386, 18.198180, 18.362431, 112.934254]]
### 2
mean: [1.257523, 2.327148, -0.080350, -1.354049, 0.215694, 0.725952]
std: [1.290866, 1.301933, 0.556128, 0.716702, 1.839703, 1.743480]
pca: [[-0.414393, 0.264309, -0.364604, 0.225220, 0.471526, 0.593652, 0.000000, 0.000000, 0.000000, 0.000000], [-0.343857, 0.638105, 0.490564, 0.243482, -0.417584, 0.016471, 0.000000, 0.000000, 0.000000, 0.000000], [-0.177300, -0.115827, 0.522770, 0.219294, 0.695740, -0.386932, 0.000000, 0.000000, 0.000000, 0.000000], [0.100157, -0.525403, 0.485434, 0.238825, -0.150912, 0.631238, 0.000000, 0.000000, 0.000000, 0.000000], [0.605396, 0.194955, -0.168903, 0.748060, 0.034044, -0.078784, 0.000000, 0.000000, 0.000000, 0.000000], [0.549609, 0.442144, 0.298240, -0.474627, 0.308706, 0.304831, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.036527, 20.047118, 20.308758, 22.247725, 113.177053], [19.756928, 21.900288, 22.151646, 22.776098, 209.443315], [8.586508, 8.890645, 9.171946, 9.554464, 9.969326], [11.623227, 12.075608, 12.086246, 13.142176, 121.864412], [26.847684, 27.040659, 30.633566, 32.287429, 32.436618], [28.317619, 30.059153, 30.181415, 31.022727, 65.335649]]
### 4
mean: [2.440334, 1.338848, -0.875623, -0.627858, 1.553048, 0.667115]
std: [2.542220, 3.494057, 2.840259, 0.817313, 2.515736, 2.342092]
pca: [[0.402229, 0.730293, 0.441814, -0.281665, 0.080632, -0.154429, 0.000000, 0.000000, 0.000000, 0.000000], [0.559606, -0.352548, -0.133900, -0.580182, -0.363212, 0.275839, 0.000000, 0.000000, 0.000000, 0.000000], [-0.454665, -0.231426, 0.589991, -0.289118, -0.463460, -0.305364, 0.000000, 0.000000, 0.000000, 0.000000], [-0.129201, -0.139448, 0.510691, -0.043568, 0.383087, 0.744582, 0.000000, 0.000000, 0.000000, 0.000000], [0.403353, -0.069323, 0.322769, 0.704678, -0.466944, 0.117103, 0.000000, 0.000000, 0.000000, 0.000000], [0.372755, -0.514366, 0.271655, 0.044674, 0.531025, -0.488570, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.309917, 39.415545, 39.420798, 44.726844, 219.630030], [53.805106, 54.165646, 55.445322, 65.259663, 120.496309], [43.797167, 44.484149, 46.688903, 50.558388, 78.806087], [12.616889, 13.293067, 13.492424, 14.890832, 56.507177], [38.061477, 38.455574, 38.456900, 47.352779, 139.774311], [36.618694, 36.852272, 39.145540, 45.268663, 60.040354]]
### 6
mean: [4.377410, 3.470580, 7.496857, -3.968914, -1.519259, 5.093508]
std: [3.653984, 2.645003, 5.789465, 4.079778, 1.972075, 4.785201]
pca: [[0.371713, 0.192193, 0.070317, -0.466839, 0.497925, -0.595045, 0.000000, 0.000000, 0.000000, 0.000000], [0.264267, 0.549282, -0.293249, -0.387388, 0.017218, 0.626171, 0.000000, 0.000000, 0.000000, 0.000000], [0.588356, 0.413703, 0.080720, 0.586481, -0.302158, -0.202267, 0.000000, 0.000000, 0.000000, 0.000000], [-0.412332, 0.522923, 0.743184, -0.055604, -0.015983, 0.029395, 0.000000, 0.000000, 0.000000, 0.000000], [-0.200008, 0.190726, -0.194197, 0.532961, 0.763983, 0.134873, 0.000000, 0.000000, 0.000000, 0.000000], [0.485601, -0.424706, 0.559026, 0.029887, 0.276674, 0.440300, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[57.058019, 57.538208, 57.768177, 68.857796, 393.966865], [40.875292, 41.476813, 41.608448, 50.715291, 312.352183], [90.340024, 90.902429, 91.753641, 109.395189, 674.717110], [64.368469, 64.787412, 68.498386, 69.503474, 357.202202], [30.971894, 31.565015, 31.946613, 35.577940, 136.733294], [75.069879, 76.858192, 77.230052, 86.689743, 458.415695]]
### 8
mean: [-16.608459]
std: [13.156186]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[206.389421, 206.684770, 207.393781, 250.667756, 1494.761254]]
## 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": 0.47107264399528503, "std": 1.4951989650726318, "pca": [0.38287487626075745, 0.19024349749088287, 0.46106693148612976, 0.6863175630569458, -0.35482150316238403, 0.08775792270898819, 0.0, 0.0, 0.0, 0.0], "fourier": [22.845990230658494, 23.119649309836692, 24.081535793797446, 24.972348451713984, 42.39654129743576]}, "1": {"mean": -2.269068479537964, "std": 1.8664847612380981, "pca": [-0.45987722277641296, -0.3864430785179138, 0.6400843858718872, -0.2724291682243347, -0.39346030354499817, 0.020929358899593353, 0.0, 0.0, 0.0, 0.0], "fourier": [31.329849106666494, 31.852111938370175, 34.23621443359507, 39.77723874565243, 204.21617114543915]}, "2": {"mean": 0.5202665328979492, "std": 1.9108463525772095, "pca": [0.5298087000846863, 0.0847552940249443, 0.24267040193080902, -0.5176146626472473, 0.08340480923652649, 0.6151008605957031, 0.0, 0.0, 0.0, 0.0], "fourier": [30.07398702314393, 30.591723450545317, 31.010467691748378, 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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": [[0.582076, 0.38497, -0.335701, -0.093797, 0.124413], [-0.94, 0.053001, 0.051765, -0.166889, -0.021278], [0.781857, 0.41336, -0.114068, -0.091813, -0.255838], [-0.540173, -0.12105, -0.072174, 0.022869, 0.081201], [-0.635522, -0.125184, 0.310093, 0.669303, 0.645171], [-0.301651, -0.339658, 0.126357, -0.062341, 0.02735]], "network.0.bias": [-0.205848, -0.919873, -0.455249, -0.526439, 0.321369, -0.424498], "network.2.weight": [[-0.123677, -0.110803, -0.162619, -0.226496, 0.509192, -0.321606], [0.38595, -0.307875, -0.188523, -0.508404, 0.628657, -0.905055], [0.080841, -0.372002, -0.308569, -0.382582, 0.091078, -0.131144], [-0.046578, 0.018134, -0.215899, -0.131663, -0.369063, 0.270154], [0.189253, 0.061442, 0.659381, 0.083905, -0.425739, -0.217662], [0.464494, 0.068079, 0.56023, -0.160336, -0.256617, -0.096284]], "network.2.bias": [0.238881, 0.585433, -0.178675, -0.274113, 0.502248, 0.496839], "network.4.weight": [[0.196374, 1.004134, -0.676007, -0.210365, -0.465751, -0.512789], [0.728319, 0.437914, -0.465067, -0.249274, -0.767594, -0.929813], [-0.685514, -0.423167, -0.706568, 0.101578, 0.53071, 0.630312], [-0.312202, -0.056413, -0.509917, 0.344686, 0.021666, 0.237772], [0.279295, 0.580102, -0.243722, -0.649431, -0.717175, -0.499119], [0.470897, 0.187847, -0.488472, -0.213576, -0.838032, -0.424169]], "network.4.bias": [0.699551, 0.745013, 0.108761, -0.251433, 0.749572, 0.583285], "network.6.weight": [[0.423268, 0.807737, -0.234849, 0.137639, 0.594355, 0.257678], [0.442228, 0.529633, 0.050778, 0.473492, 0.517535, 0.186249], [0.710261, 1.008644, -0.208805, -0.203526, 1.037795, 0.764857], [-0.637068, -0.329617, 0.578286, 0.312401, -0.8058, -0.310493], [-0.183865, -0.462601, 0.314301, 0.016677, -0.151145, -0.180668], [0.353132, 0.925972, -0.644043, -0.473102, 0.683816, 0.54911]], "network.6.bias": [0.017725, -0.279359, 0.310478, 0.179905, 0.33744, 0.402031], "network.8.weight": [[-0.858706, -0.601781, -1.02972, 0.351788, 0.18434, -0.603931]], "network.8.bias": [0.288234]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6815187335014343, "train_acc": 0.585, "val_loss": 0.7266123294830322, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6681491732597351, "train_acc": 0.585, "val_loss": 0.6958853006362915, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6178390979766846, "train_acc": 0.585, "val_loss": 0.602150559425354, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.4870150685310364, "train_acc": 0.63, "val_loss": 0.46429646015167236, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.376378670334816, "train_acc": 0.89, "val_loss": 0.3837447762489319, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.31822556257247925, "train_acc": 0.905, "val_loss": 0.3297866880893707, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.2889167070388794, "train_acc": 0.91, "val_loss": 0.34043967723846436, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.25326158106327057, "train_acc": 0.91, "val_loss": 0.35989540815353394, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.22723960131406784, "train_acc": 0.915, "val_loss": 0.47532662749290466, "val_acc": 0.9}], "summary": {"total_epochs": 9, "degraded_epochs": 3, "improved_epochs": 6, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7266123294830322, "final_val_loss": 0.602150559425354, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.46429646015167236, "final_val_loss": 0.47532662749290466, "initial_val_acc": 0.86, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 8}, "improvement": 0.46, "first_improvement_epoch": 2}}
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