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
|
|---|---|---|---|---|---|---|---|
9,700
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.6, "improved_accuracy": 0.94, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7806, "learning_rate": 0.031108759994344565, "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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
mean: [0.255966, -0.712997, 0.750604, 0.658235, -1.841007, 0.397919, -0.123114, 1.147280]
std: [0.852262, 0.784713, 1.680390, 1.533250, 1.796764, 1.645966, 1.118374, 1.539060]
pca: [[-0.053458, 0.321533, 0.047434, 0.386586, 0.530010, -0.018655, 0.121940, 0.667782, 0.000000, 0.000000], [0.155356, 0.254934, -0.209031, -0.039741, 0.435647, 0.027946, 0.626270, -0.531805, 0.000000, 0.000000], [-0.282129, 0.648455, -0.332473, 0.112878, -0.004195, 0.139056, -0.532174, -0.272151, 0.000000, 0.000000], [0.163372, 0.532387, 0.657752, -0.255950, -0.263309, 0.309711, 0.155648, 0.047403, 0.000000, 0.000000], [0.583775, -0.085652, -0.228396, -0.426247, 0.339772, 0.406642, -0.336828, 0.154150, 0.000000, 0.000000], [-0.539195, -0.203042, -0.171307, -0.089735, -0.041430, 0.740045, 0.255933, 0.125537, 0.000000, 0.000000], [0.172514, -0.251179, 0.387062, 0.634394, 0.190083, 0.372749, -0.225105, -0.359347, 0.000000, 0.000000], [-0.453248, -0.126659, 0.423737, -0.422523, 0.553768, -0.177897, -0.236334, -0.162127, 0.000000, 0.000000]]
fourier: [[12.575927, 12.796445, 14.909163, 17.717385, 23.036934], [14.448018, 15.401059, 15.753927, 17.354025, 64.169708], [25.516831, 26.218200, 27.871628, 30.704801, 67.554342], [25.400268, 26.341968, 28.847541, 29.046697, 59.241154], [28.657546, 31.747480, 35.922226, 40.476956, 165.690665], [27.539022, 31.619496, 32.122618, 34.024081, 35.812693], [16.475364, 17.080986, 17.283076, 18.317075, 18.572802], [25.978510, 30.585220, 32.434796, 32.825999, 103.255148]]
### 2
mean: [-0.517520, 1.633518, -0.905800, 1.183829, -0.829754, -1.545639, 0.935022, -0.627809]
std: [1.680293, 1.770353, 1.941654, 1.743723, 0.854912, 1.557913, 1.288867, 1.674708]
pca: [[0.374289, 0.201462, 0.477747, 0.432338, -0.455724, -0.387289, -0.185943, -0.109135, 0.000000, 0.000000], [-0.380432, 0.686067, 0.109024, 0.191541, 0.494747, -0.203113, -0.171014, 0.143995, 0.000000, 0.000000], [0.438960, -0.031493, 0.483452, 0.132501, 0.529316, 0.412669, 0.305352, -0.106436, 0.000000, 0.000000], [-0.394273, 0.255688, 0.220940, 0.144500, -0.478192, 0.461034, 0.465596, 0.226889, 0.000000, 0.000000], [0.179925, 0.325258, -0.280205, -0.144237, -0.009714, -0.387225, 0.697697, -0.354537, 0.000000, 0.000000], [0.338530, 0.478352, -0.426587, 0.054467, -0.149178, 0.518898, -0.323847, -0.274315, 0.000000, 0.000000], [-0.277069, -0.296156, -0.272179, 0.771003, 0.114180, 0.034533, 0.086684, -0.381122, 0.000000, 0.000000], [0.378549, -0.006029, -0.377834, 0.346039, 0.057559, -0.074252, 0.164280, 0.747227, 0.000000, 0.000000]]
fourier: [[26.096947, 26.935695, 29.986311, 31.438081, 46.576836], [30.738187, 33.039676, 34.389792, 36.817488, 147.016655], [32.000636, 32.451391, 32.736006, 37.693504, 81.521959], [28.807579, 30.110085, 34.831118, 35.738088, 106.544618], [13.771190, 14.237140, 14.464488, 16.029303, 74.677893], [24.344190, 25.324162, 26.722225, 30.422990, 139.107470], [21.779635, 22.071107, 22.258341, 22.990444, 84.151997], [26.728602, 28.675195, 30.985735, 34.666946, 56.502831]]
### 4
mean: [-0.184020, -0.866328, -0.258997, -0.001928, -0.520702, 2.303648, -0.083823, 0.123355]
std: [0.830341, 0.445433, 0.496862, 0.921202, 0.519890, 2.896713, 0.945971, 1.308734]
pca: [[-0.224404, 0.285606, 0.270085, -0.424710, -0.592577, 0.005849, -0.498028, 0.124638, 0.000000, 0.000000], [-0.011200, -0.540404, 0.764060, 0.018868, -0.137381, -0.006297, 0.291840, 0.140039, 0.000000, 0.000000], [-0.138758, -0.020816, -0.287471, -0.404575, 0.034044, 0.089950, 0.389675, 0.756899, 0.000000, 0.000000], [-0.223971, 0.591914, 0.239431, -0.115624, 0.008840, -0.337662, 0.589418, -0.259367, 0.000000, 0.000000], [-0.143958, -0.105608, -0.036065, -0.442321, 0.056859, 0.719799, 0.186714, -0.463646, 0.000000, 0.000000], [0.811481, 0.394086, 0.252215, -0.049112, 0.033677, 0.297303, 0.044792, 0.169236, 0.000000, 0.000000], [-0.261423, 0.219381, -0.030642, 0.662035, -0.392719, 0.479310, 0.177744, 0.169533, 0.000000, 0.000000], [-0.364051, 0.247008, 0.370740, 0.076584, 0.685673, 0.203914, -0.314763, 0.228773, 0.000000, 0.000000]]
fourier: [[12.616489, 13.796191, 14.652788, 16.561833, 17.887668], [7.378447, 7.435397, 7.510665, 7.538502, 77.969525], [8.459634, 8.780447, 10.145500, 10.454738, 23.309752], [14.141138, 15.249125, 15.363368, 15.379345, 19.749048], [8.841759, 9.641726, 9.949738, 10.380026, 46.863223], [47.770586, 50.386136, 57.177289, 57.477392, 207.328262], [13.858649, 14.119943, 14.644412, 17.435150, 20.435454], [19.887360, 20.446158, 21.570809, 23.883254, 27.112526]]
### 6
mean: [0.327703, 0.379952, 0.272345, 0.261502, -0.114746, 0.836337, 0.394664, -0.051673]
std: [1.587429, 1.280340, 1.488945, 1.741769, 0.661374, 1.912264, 1.419423, 1.198617]
pca: [[0.385653, 0.279755, 0.406513, -0.508191, -0.554034, -0.046003, -0.186914, -0.074108, 0.000000, 0.000000], [0.311212, 0.121992, 0.213580, 0.115324, 0.063251, -0.017061, 0.880630, -0.222595, 0.000000, 0.000000], [-0.361376, -0.425224, 0.698877, -0.122069, 0.213039, -0.348452, -0.022806, -0.133934, 0.000000, 0.000000], [-0.422638, 0.613030, 0.058451, -0.240908, 0.161624, -0.221917, 0.197209, 0.519478, 0.000000, 0.000000], [-0.159556, 0.430923, 0.249813, 0.727446, -0.262090, -0.168139, -0.204680, -0.241676, 0.000000, 0.000000], [0.464845, 0.036039, 0.426018, 0.254567, 0.398652, 0.307661, -0.204534, 0.490827, 0.000000, 0.000000], [0.344843, 0.279699, -0.169180, -0.138947, 0.559420, -0.484551, -0.247509, -0.381997, 0.000000, 0.000000], [-0.291114, 0.291563, 0.157373, -0.205467, 0.277438, 0.684990, -0.071790, -0.460351, 0.000000, 0.000000]]
fourier: [[24.390215, 26.823361, 29.493256, 30.378046, 36.358280], [19.533289, 21.054616, 24.544762, 29.440253, 34.195677], [23.017770, 24.511018, 24.560685, 28.011637, 34.358497], [25.246970, 26.455182, 28.853004, 33.728521, 39.724724], [10.208577, 10.327098, 11.311309, 13.096528, 14.827598], [29.018432, 31.178506, 36.839505, 43.889227, 75.270310], [21.932507, 23.166307, 27.200265, 32.663436, 35.519731], [17.522999, 17.978096, 19.916547, 23.062414, 27.451087]]
### 8
mean: [-1.332963]
std: [3.005869]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[44.104846, 46.742019, 58.743990, 69.334604, 119.966628]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.100895,
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"network.8.bias": [
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}
## Activation Signature
### 0
mean: [0.255966, -0.712997, 0.750604, 0.658235, -1.841007, 0.397919, -0.123114, 1.147280]
std: [0.852262, 0.784713, 1.680390, 1.533250, 1.796764, 1.645966, 1.118374, 1.539060]
pca: [[-0.053458, 0.321533, 0.047434, 0.386586, 0.530010, -0.018655, 0.121940, 0.667782, 0.000000, 0.000000], [0.155356, 0.254934, -0.209031, -0.039741, 0.435647, 0.027946, 0.626270, -0.531805, 0.000000, 0.000000], [-0.282129, 0.648455, -0.332473, 0.112878, -0.004195, 0.139056, -0.532174, -0.272151, 0.000000, 0.000000], [0.163372, 0.532387, 0.657752, -0.255950, -0.263309, 0.309711, 0.155648, 0.047403, 0.000000, 0.000000], [0.583775, -0.085652, -0.228396, -0.426247, 0.339772, 0.406642, -0.336828, 0.154150, 0.000000, 0.000000], [-0.539195, -0.203042, -0.171307, -0.089735, -0.041430, 0.740045, 0.255933, 0.125537, 0.000000, 0.000000], [0.172514, -0.251179, 0.387062, 0.634394, 0.190083, 0.372749, -0.225105, -0.359347, 0.000000, 0.000000], [-0.453248, -0.126659, 0.423737, -0.422523, 0.553768, -0.177897, -0.236334, -0.162127, 0.000000, 0.000000]]
fourier: [[12.575927, 12.796445, 14.909163, 17.717385, 23.036934], [14.448018, 15.401059, 15.753927, 17.354025, 64.169708], [25.516831, 26.218200, 27.871628, 30.704801, 67.554342], [25.400268, 26.341968, 28.847541, 29.046697, 59.241154], [28.657546, 31.747480, 35.922226, 40.476956, 165.690665], [27.539022, 31.619496, 32.122618, 34.024081, 35.812693], [16.475364, 17.080986, 17.283076, 18.317075, 18.572802], [25.978510, 30.585220, 32.434796, 32.825999, 103.255148]]
### 2
mean: [-0.517520, 1.633518, -0.905800, 1.183829, -0.829754, -1.545639, 0.935022, -0.627809]
std: [1.680293, 1.770353, 1.941654, 1.743723, 0.854912, 1.557913, 1.288867, 1.674708]
pca: [[0.374289, 0.201462, 0.477747, 0.432338, -0.455724, -0.387289, -0.185943, -0.109135, 0.000000, 0.000000], [-0.380432, 0.686067, 0.109024, 0.191541, 0.494747, -0.203113, -0.171014, 0.143995, 0.000000, 0.000000], [0.438960, -0.031493, 0.483452, 0.132501, 0.529316, 0.412669, 0.305352, -0.106436, 0.000000, 0.000000], [-0.394273, 0.255688, 0.220940, 0.144500, -0.478192, 0.461034, 0.465596, 0.226889, 0.000000, 0.000000], [0.179925, 0.325258, -0.280205, -0.144237, -0.009714, -0.387225, 0.697697, -0.354537, 0.000000, 0.000000], [0.338530, 0.478352, -0.426587, 0.054467, -0.149178, 0.518898, -0.323847, -0.274315, 0.000000, 0.000000], [-0.277069, -0.296156, -0.272179, 0.771003, 0.114180, 0.034533, 0.086684, -0.381122, 0.000000, 0.000000], [0.378549, -0.006029, -0.377834, 0.346039, 0.057559, -0.074252, 0.164280, 0.747227, 0.000000, 0.000000]]
fourier: [[26.096947, 26.935695, 29.986311, 31.438081, 46.576836], [30.738187, 33.039676, 34.389792, 36.817488, 147.016655], [32.000636, 32.451391, 32.736006, 37.693504, 81.521959], [28.807579, 30.110085, 34.831118, 35.738088, 106.544618], [13.771190, 14.237140, 14.464488, 16.029303, 74.677893], [24.344190, 25.324162, 26.722225, 30.422990, 139.107470], [21.779635, 22.071107, 22.258341, 22.990444, 84.151997], [26.728602, 28.675195, 30.985735, 34.666946, 56.502831]]
### 4
mean: [-0.184020, -0.866328, -0.258997, -0.001928, -0.520702, 2.303648, -0.083823, 0.123355]
std: [0.830341, 0.445433, 0.496862, 0.921202, 0.519890, 2.896713, 0.945971, 1.308734]
pca: [[-0.224404, 0.285606, 0.270085, -0.424710, -0.592577, 0.005849, -0.498028, 0.124638, 0.000000, 0.000000], [-0.011200, -0.540404, 0.764060, 0.018868, -0.137381, -0.006297, 0.291840, 0.140039, 0.000000, 0.000000], [-0.138758, -0.020816, -0.287471, -0.404575, 0.034044, 0.089950, 0.389675, 0.756899, 0.000000, 0.000000], [-0.223971, 0.591914, 0.239431, -0.115624, 0.008840, -0.337662, 0.589418, -0.259367, 0.000000, 0.000000], [-0.143958, -0.105608, -0.036065, -0.442321, 0.056859, 0.719799, 0.186714, -0.463646, 0.000000, 0.000000], [0.811481, 0.394086, 0.252215, -0.049112, 0.033677, 0.297303, 0.044792, 0.169236, 0.000000, 0.000000], [-0.261423, 0.219381, -0.030642, 0.662035, -0.392719, 0.479310, 0.177744, 0.169533, 0.000000, 0.000000], [-0.364051, 0.247008, 0.370740, 0.076584, 0.685673, 0.203914, -0.314763, 0.228773, 0.000000, 0.000000]]
fourier: [[12.616489, 13.796191, 14.652788, 16.561833, 17.887668], [7.378447, 7.435397, 7.510665, 7.538502, 77.969525], [8.459634, 8.780447, 10.145500, 10.454738, 23.309752], [14.141138, 15.249125, 15.363368, 15.379345, 19.749048], [8.841759, 9.641726, 9.949738, 10.380026, 46.863223], [47.770586, 50.386136, 57.177289, 57.477392, 207.328262], [13.858649, 14.119943, 14.644412, 17.435150, 20.435454], [19.887360, 20.446158, 21.570809, 23.883254, 27.112526]]
### 6
mean: [0.327703, 0.379952, 0.272345, 0.261502, -0.114746, 0.836337, 0.394664, -0.051673]
std: [1.587429, 1.280340, 1.488945, 1.741769, 0.661374, 1.912264, 1.419423, 1.198617]
pca: [[0.385653, 0.279755, 0.406513, -0.508191, -0.554034, -0.046003, -0.186914, -0.074108, 0.000000, 0.000000], [0.311212, 0.121992, 0.213580, 0.115324, 0.063251, -0.017061, 0.880630, -0.222595, 0.000000, 0.000000], [-0.361376, -0.425224, 0.698877, -0.122069, 0.213039, -0.348452, -0.022806, -0.133934, 0.000000, 0.000000], [-0.422638, 0.613030, 0.058451, -0.240908, 0.161624, -0.221917, 0.197209, 0.519478, 0.000000, 0.000000], [-0.159556, 0.430923, 0.249813, 0.727446, -0.262090, -0.168139, -0.204680, -0.241676, 0.000000, 0.000000], [0.464845, 0.036039, 0.426018, 0.254567, 0.398652, 0.307661, -0.204534, 0.490827, 0.000000, 0.000000], [0.344843, 0.279699, -0.169180, -0.138947, 0.559420, -0.484551, -0.247509, -0.381997, 0.000000, 0.000000], [-0.291114, 0.291563, 0.157373, -0.205467, 0.277438, 0.684990, -0.071790, -0.460351, 0.000000, 0.000000]]
fourier: [[24.390215, 26.823361, 29.493256, 30.378046, 36.358280], [19.533289, 21.054616, 24.544762, 29.440253, 34.195677], [23.017770, 24.511018, 24.560685, 28.011637, 34.358497], [25.246970, 26.455182, 28.853004, 33.728521, 39.724724], [10.208577, 10.327098, 11.311309, 13.096528, 14.827598], [29.018432, 31.178506, 36.839505, 43.889227, 75.270310], [21.932507, 23.166307, 27.200265, 32.663436, 35.519731], [17.522999, 17.978096, 19.916547, 23.062414, 27.451087]]
### 8
mean: [-1.332963]
std: [3.005869]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[44.104846, 46.742019, 58.743990, 69.334604, 119.966628]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.260522, 0.252445, -0.333443, -0.037245, 0.090572], [-0.020259, 0.226823, -0.285053, -0.035958, -0.204591], [0.611843, 0.477869, -0.189663, -0.060575, -0.263749], [-0.023644, 0.420514, -0.345098, 0.483659, -0.023519], [-0.685428, 0.059059, -0.250041, -0.003589, -0.312948], [0.570977, -0.41966, 0.501488, -0.042186, -0.018232], [-0.305933, -0.036239, -0.191592, -0.101509, 0.521429], [0.574038, -0.571911, 0.354312, 0.396551, 0.012617]], "network.0.bias": [0.13644, -0.176224, -0.03021, -0.365912, -0.179677, -0.482519, 0.298437, -0.130992], "network.2.weight": [[-0.549134, -0.755872, -0.606753, -0.27906, -0.240021, -0.185826, 0.3145, -0.20781], [0.284297, 0.23375, 0.660206, -0.168518, 0.313883, 0.571538, 0.192502, 0.242068], [-0.577012, -0.311995, -0.617212, -0.378678, -0.619991, -0.655494, 0.193787, -0.00533], [0.444358, 0.054751, 0.457536, 0.187804, 0.45004, 0.580389, -0.077954, 0.294705], [0.041262, -0.138719, -0.227639, -0.325888, -0.320191, -0.002926, 0.074752, -0.363395], [-0.115137, 0.01683, -0.438257, -0.499574, -0.065729, -0.019292, 0.293438, -0.609517], [0.300165, 0.088186, 0.378328, 0.503411, 0.378753, 0.329645, 0.318024, 0.127422], [-0.223616, -0.156608, -0.515251, -0.203604, -0.562059, -0.243344, 0.373048, -0.49472]], "network.2.bias": [0.726141, 0.353908, 0.571619, -0.292327, 0.052078, 0.026633, -0.411989, 0.744689], "network.4.weight": [[0.452575, -0.219964, 0.043474, 0.176073, 0.095114, 0.006539, -0.405509, 0.431349], [-0.553842, -0.11354, -0.425412, 0.020487, -0.251913, -0.080085, -0.163528, -0.251773], [0.07842, -0.233718, 0.283525, 0.061806, -0.284492, 0.167857, -0.104145, 0.00191], [0.302562, 0.084753, 0.621813, -0.102859, 0.115073, 0.39958, -0.351753, 0.578967], [-0.166229, -0.275268, 0.256505, 0.121614, -0.470786, -0.130638, -0.176459, 0.182313], [-0.36368, 0.624193, -0.247063, 0.564484, -0.295303, 0.041329, 0.645723, 0.105096], [0.380651, 0.001609, -0.04104, -0.287072, -0.224039, 0.234802, -0.214188, 0.441396], [0.208313, -0.035113, 0.602778, -0.275315, -0.251202, -0.141032, -0.439521, 0.409941]], "network.4.bias": [0.100895, -0.293708, 0.038879, 0.005451, -0.149767, 0.152086, 0.252392, 0.646762], "network.6.weight": [[-0.6654, -0.240646, -0.193694, -0.47378, -0.561627, 0.286415, 0.012991, -0.589271], [-0.242428, 0.042617, -0.237111, -0.346678, -0.383918, 0.23618, -0.3933, -0.380943], [0.3899, -0.25601, 0.070942, 0.582996, -0.237337, -0.25743, 0.498037, 0.357572], [0.114902, -0.474642, -0.29249, 0.595223, -0.199362, -0.372667, 0.245517, 0.628213], [0.291436, -0.098451, 0.278627, 0.35949, -0.144996, -0.159881, -0.141383, -0.00221], [-0.198405, -0.325372, -0.462138, -0.468997, -0.304558, 0.359249, -0.608684, -0.643592], [-0.526079, -0.224596, -0.31297, -0.400684, -0.512535, 0.260178, -0.58382, -0.181108], [0.386567, -0.537225, -0.399666, 0.314473, -0.016216, -0.251663, 0.251667, 0.356762]], "network.6.bias": [0.085847, 0.203389, 0.310631, 0.48392, 0.131326, 0.535244, 0.106913, 0.071335], "network.8.weight": [[-0.498968, -0.323811, 0.354746, 0.487576, 0.390245, -0.721213, -0.306208, 0.272213]], "network.8.bias": [-0.383357]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6888591051101685, "train_acc": 0.57, "val_loss": 0.7063482403755188, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6729534268379211, "train_acc": 0.57, "val_loss": 0.6847466230392456, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6413383483886719, "train_acc": 0.665, "val_loss": 0.6438655853271484, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5574986934661865, "train_acc": 0.705, "val_loss": 0.6141877174377441, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5012003928422928, "train_acc": 0.785, "val_loss": 0.6423656940460205, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.39826612174510956, "train_acc": 0.815, "val_loss": 0.5706655383110046, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.33507269620895386, "train_acc": 0.87, "val_loss": 0.44685572385787964, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.24241172522306442, "train_acc": 0.88, "val_loss": 0.2873660922050476, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.17716678977012634, "train_acc": 0.94, "val_loss": 0.22258394956588745, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.1619267240166664, "train_acc": 0.95, "val_loss": 0.19461855292320251, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.18343030661344528, "train_acc": 0.94, "val_loss": 0.2108372151851654, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.166085883975029, "train_acc": 0.935, "val_loss": 0.22140125930309296, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.168124720454216, "train_acc": 0.935, "val_loss": 0.17857182025909424, "val_acc": 0.94}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7063482403755188, "final_val_loss": 0.6438655853271484, "initial_val_acc": 0.44, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.6141877174377441, "final_val_loss": 0.17857182025909424, "initial_val_acc": 0.72, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 7}, "improvement": 0.33999999999999997, "first_improvement_epoch": 2}}
|
9,701
|
{"target_pattern": "decreasing_pairs", "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": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4405, "learning_rate": 0.03486305865489084, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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0.502191,
0.318844,
0.38942
],
[
-0.141516,
0.028348,
-0.250256,
0.390674,
0.569798,
0.185448
],
[
0.49764,
-0.275138,
0.163128,
-0.281746,
-0.079445,
-0.15388
],
[
0.340234,
0.110149,
0.176678,
0.255663,
-0.004641,
0.310225
],
[
-0.537169,
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0.319441,
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-0.577578,
0.009468
],
[
-0.156399,
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0.167802,
0.156695
]
],
"network.6.bias": [
-0.305795,
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0.313528,
0.394275,
-0.463261,
0.348427
],
"network.8.weight": [
[
0.490154,
0.299779,
-0.244991,
0.414995,
0.382244,
-0.289221
],
[
0.020795,
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0.523868,
0.09872,
-0.682895,
0.649074
],
[
-0.260869,
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0.127182,
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],
[
-0.305579,
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0.234427,
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],
[
-0.339029,
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0.175031,
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0.093389
],
[
-0.376477,
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0.299329,
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-0.419456,
0.476829
]
],
"network.8.bias": [
-0.157393,
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],
"network.10.weight": [
[
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],
[
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0.349661,
0.324403
],
[
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0.06718,
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0.692667
],
[
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0.587746,
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],
[
0.140983,
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],
[
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0.3028,
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]
],
"network.10.bias": [
0.371097,
0.436268,
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0.217239,
-0.243202,
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],
"network.12.weight": [
[
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-0.397866,
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],
"network.12.bias": [
0.114339
]
}
## Activation Signature
### 0
mean: [-0.667941, 1.984126, 0.663897, 0.950431, 2.557018, 1.312492]
std: [0.974559, 1.768698, 1.172209, 1.101797, 1.519787, 1.887615]
pca: [[-0.118001, -0.451502, -0.097712, 0.265249, 0.832617, -0.095219, 0.000000, 0.000000, 0.000000, 0.000000], [0.589538, -0.047046, 0.743248, 0.269576, 0.041895, -0.152929, 0.000000, 0.000000, 0.000000, 0.000000], [-0.199684, 0.481685, 0.228499, -0.484163, 0.349323, -0.565202, 0.000000, 0.000000, 0.000000, 0.000000], [-0.051825, 0.450222, -0.277578, 0.744525, -0.078295, -0.396379, 0.000000, 0.000000, 0.000000, 0.000000], [0.386041, 0.569080, -0.165196, -0.032145, 0.419164, 0.568418, 0.000000, 0.000000, 0.000000, 0.000000], [0.668530, -0.188043, -0.530550, -0.259242, -0.033757, -0.409729, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.418948, 16.037960, 16.860290, 17.218847, 60.114668], [27.298960, 31.115168, 33.503609, 37.245477, 178.571333], [16.043175, 16.391503, 20.608879, 23.370741, 59.750732], [19.356773, 19.554864, 19.902421, 20.343625, 85.538806], [23.535313, 23.871722, 27.383248, 28.104610, 230.131579], [30.353152, 30.848518, 33.646720, 36.737452, 118.124317]]
### 2
mean: [-1.391818, 0.211383, -1.922873, 0.871307, 1.165969, -1.994517]
std: [1.217420, 0.842702, 1.406420, 1.192481, 2.024968, 1.672851]
pca: [[-0.342395, 0.300974, 0.727284, -0.078743, 0.339661, -0.376388, 0.000000, 0.000000, 0.000000, 0.000000], [0.216786, 0.607790, 0.152660, -0.528012, -0.438756, 0.298305, 0.000000, 0.000000, 0.000000, 0.000000], [-0.402147, 0.253622, -0.332911, -0.184518, 0.606419, 0.511207, 0.000000, 0.000000, 0.000000, 0.000000], [0.329804, 0.474956, 0.116013, 0.761982, 0.110051, 0.243843, 0.000000, 0.000000, 0.000000, 0.000000], [0.582491, 0.222434, -0.312592, -0.252495, 0.457884, -0.490002, 0.000000, 0.000000, 0.000000, 0.000000], [-0.475374, 0.447908, -0.475131, 0.191275, -0.320328, -0.456565, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.024988, 20.658022, 20.817299, 21.721024, 125.263642], [14.272948, 14.402020, 15.340753, 16.156970, 19.024514], [23.407251, 23.952185, 24.030576, 26.718467, 173.058588], [18.697908, 19.906563, 20.401173, 23.684801, 78.417642], [34.281995, 34.543354, 37.065107, 37.273390, 104.937213], [27.222394, 29.705171, 30.350103, 32.183200, 179.506526]]
### 4
mean: [0.716270, 0.242615, -0.117771, 0.498718, 0.959683, 0.376353]
std: [0.301268, 0.917393, 0.199580, 0.940908, 0.869216, 0.615624]
pca: [[0.172032, 0.546797, 0.196097, 0.777210, -0.163064, 0.048161, 0.000000, 0.000000, 0.000000, 0.000000], [0.531136, 0.071524, 0.189983, -0.042354, 0.821308, -0.018554, 0.000000, 0.000000, 0.000000, 0.000000], [-0.111819, 0.474865, 0.630035, -0.514363, -0.134823, 0.286896, 0.000000, 0.000000, 0.000000, 0.000000], [0.544574, -0.359029, 0.005500, 0.023646, -0.305297, 0.693355, 0.000000, 0.000000, 0.000000, 0.000000], [0.502610, 0.473945, -0.504343, -0.359184, -0.273900, -0.253698, 0.000000, 0.000000, 0.000000, 0.000000], [0.355833, -0.341869, 0.523562, -0.003013, -0.335348, -0.608214, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.001617, 5.065394, 5.112927, 5.620021, 64.464321], [15.930221, 16.309729, 16.359580, 17.078197, 21.835361], [3.493658, 3.555820, 3.625055, 3.987240, 10.599375], [16.810518, 16.834887, 16.935670, 17.468804, 44.884609], [14.703271, 15.009616, 15.544378, 16.415335, 86.371489], [11.009110, 11.026780, 11.281711, 11.308716, 33.871811]]
### 6
mean: [0.454541, 0.505292, 0.237145, 0.841847, -1.682418, 0.174338]
std: [1.076730, 0.978730, 0.500707, 0.594008, 1.573342, 0.397768]
pca: [[-0.465424, -0.150394, 0.278138, 0.614108, -0.494034, -0.249406, 0.000000, 0.000000, 0.000000, 0.000000], [-0.423013, -0.267052, 0.447369, -0.343294, 0.512526, -0.411182, 0.000000, 0.000000, 0.000000, 0.000000], [0.215811, 0.812559, 0.301119, 0.069822, 0.029575, -0.443565, 0.000000, 0.000000, 0.000000, 0.000000], [-0.256717, 0.205951, -0.202489, 0.585882, 0.666433, 0.251572, 0.000000, 0.000000, 0.000000, 0.000000], [0.680078, -0.450939, 0.104444, 0.392702, 0.219138, -0.347855, 0.000000, 0.000000, 0.000000, 0.000000], [0.171627, 0.007122, 0.761523, 0.051695, 0.014804, 0.622643, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.661364, 19.343720, 19.654050, 20.026381, 40.908670], [16.939713, 17.524732, 17.887317, 18.247980, 45.476249], [8.983693, 9.154076, 9.198874, 9.370376, 21.343029], [10.245753, 10.603140, 10.882694, 11.051561, 75.766199], [27.031059, 27.962364, 28.693707, 29.384999, 151.417682], [6.956476, 7.096425, 7.380626, 7.427324, 15.690430]]
### 8
mean: [0.375270, 0.462251, -1.374982, -0.021339, 0.277106, 0.327777]
std: [1.171829, 0.634031, 0.836077, 0.564066, 0.507311, 0.546212]
pca: [[0.640782, 0.327534, -0.103836, 0.269991, 0.617757, 0.129687, 0.000000, 0.000000, 0.000000, 0.000000], [-0.345773, 0.693732, -0.263323, -0.539262, 0.157121, 0.119783, 0.000000, 0.000000, 0.000000, 0.000000], [-0.457022, -0.389141, -0.406506, 0.110794, 0.621479, -0.275576, 0.000000, 0.000000, 0.000000, 0.000000], [-0.308117, 0.401827, -0.269979, 0.769511, -0.279515, 0.020834, 0.000000, 0.000000, 0.000000, 0.000000], [-0.277367, -0.185728, 0.194517, 0.097999, 0.187576, 0.897746, 0.000000, 0.000000, 0.000000, 0.000000], [-0.298501, 0.253115, 0.802438, 0.149248, 0.306821, -0.294125, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.403878, 21.358928, 21.666252, 21.794036, 33.774281], [11.317555, 11.597653, 11.631374, 12.010488, 41.602634], [14.514798, 15.122376, 15.466733, 15.538348, 123.748364], [9.691962, 9.853620, 10.337842, 10.399647, 10.592862], [8.845056, 9.250918, 9.376612, 9.450669, 24.939494], [9.572205, 10.019365, 10.165552, 10.240781, 29.499890]]
### 10
mean: [0.632233, 0.525091, 0.342147, 0.632088, -0.436890, -0.880947]
std: [0.648760, 0.909570, 0.355413, 0.415465, 0.357686, 0.225164]
pca: [[0.496194, 0.028244, -0.156003, -0.519429, -0.455258, 0.501589, 0.000000, 0.000000, 0.000000, 0.000000], [0.693956, -0.501528, -0.232083, 0.335316, 0.295641, -0.114858, 0.000000, 0.000000, 0.000000, 0.000000], [0.265761, 0.585078, -0.184905, 0.531515, -0.467616, -0.227359, 0.000000, 0.000000, 0.000000, 0.000000], [0.313015, 0.560412, 0.348559, 0.015101, 0.599461, 0.326932, 0.000000, 0.000000, 0.000000, 0.000000], [-0.273080, -0.168084, -0.111960, 0.551840, -0.063037, 0.759038, 0.000000, 0.000000, 0.000000, 0.000000], [0.170403, -0.251081, 0.868091, 0.174623, -0.351204, -0.022371, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.660295, 11.780505, 11.833168, 12.455320, 56.900961], [15.790280, 16.645888, 16.939351, 17.112438, 47.258223], [6.163938, 6.680361, 6.832759, 7.043554, 30.793257], [7.303636, 7.720622, 7.885343, 8.172709, 56.887930], [6.401245, 6.441155, 6.550476, 6.933911, 39.320136], [3.941608, 4.073761, 4.156087, 4.221732, 79.285203]]
### 12
mean: [-0.840875]
std: [0.628936]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.867712, 11.845851, 11.949211, 12.438588, 75.678734]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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],
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],
[
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0.052921
],
[
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0.268374,
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],
[
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0.341208,
0.114867,
0.257658
],
[
0.502845,
0.441981,
0.38202,
-0.276821,
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]
],
"network.0.bias": [
0.488631,
0.28814,
0.238728,
0.315545,
0.383956,
-0.137262
],
"network.2.weight": [
[
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-0.200789,
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],
[
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0.139515,
-0.069261,
0.110609,
-0.249957,
0.445957
],
[
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0.038988,
0.298277,
-0.232984,
-0.316532
],
[
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0.317298
],
[
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0.253564,
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],
[
0.744591,
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0.221585,
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-0.293622,
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]
],
"network.2.bias": [
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-0.108479,
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-0.275389,
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],
"network.4.weight": [
[
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0.154715,
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],
[
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0.257671,
0.237148,
0.44058
],
[
0.163309,
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],
[
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0.161044,
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0.689231
],
[
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0.24579,
0.039064
],
[
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0.136088,
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0.136021,
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0.710619
]
],
"network.4.bias": [
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0.234927
],
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[
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],
"network.6.bias": [
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"network.8.weight": [
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[
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]
],
"network.8.bias": [
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],
"network.10.weight": [
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],
[
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0.349661,
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[
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[
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],
[
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0.3028,
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]
],
"network.10.bias": [
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],
"network.12.weight": [
[
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-0.169942,
-0.397866,
0.451181,
0.353217
]
],
"network.12.bias": [
0.114339
]
}
## Activation Signature
### 0
mean: [-0.667941, 1.984126, 0.663897, 0.950431, 2.557018, 1.312492]
std: [0.974559, 1.768698, 1.172209, 1.101797, 1.519787, 1.887615]
pca: [[-0.118001, -0.451502, -0.097712, 0.265249, 0.832617, -0.095219, 0.000000, 0.000000, 0.000000, 0.000000], [0.589538, -0.047046, 0.743248, 0.269576, 0.041895, -0.152929, 0.000000, 0.000000, 0.000000, 0.000000], [-0.199684, 0.481685, 0.228499, -0.484163, 0.349323, -0.565202, 0.000000, 0.000000, 0.000000, 0.000000], [-0.051825, 0.450222, -0.277578, 0.744525, -0.078295, -0.396379, 0.000000, 0.000000, 0.000000, 0.000000], [0.386041, 0.569080, -0.165196, -0.032145, 0.419164, 0.568418, 0.000000, 0.000000, 0.000000, 0.000000], [0.668530, -0.188043, -0.530550, -0.259242, -0.033757, -0.409729, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.418948, 16.037960, 16.860290, 17.218847, 60.114668], [27.298960, 31.115168, 33.503609, 37.245477, 178.571333], [16.043175, 16.391503, 20.608879, 23.370741, 59.750732], [19.356773, 19.554864, 19.902421, 20.343625, 85.538806], [23.535313, 23.871722, 27.383248, 28.104610, 230.131579], [30.353152, 30.848518, 33.646720, 36.737452, 118.124317]]
### 2
mean: [-1.391818, 0.211383, -1.922873, 0.871307, 1.165969, -1.994517]
std: [1.217420, 0.842702, 1.406420, 1.192481, 2.024968, 1.672851]
pca: [[-0.342395, 0.300974, 0.727284, -0.078743, 0.339661, -0.376388, 0.000000, 0.000000, 0.000000, 0.000000], [0.216786, 0.607790, 0.152660, -0.528012, -0.438756, 0.298305, 0.000000, 0.000000, 0.000000, 0.000000], [-0.402147, 0.253622, -0.332911, -0.184518, 0.606419, 0.511207, 0.000000, 0.000000, 0.000000, 0.000000], [0.329804, 0.474956, 0.116013, 0.761982, 0.110051, 0.243843, 0.000000, 0.000000, 0.000000, 0.000000], [0.582491, 0.222434, -0.312592, -0.252495, 0.457884, -0.490002, 0.000000, 0.000000, 0.000000, 0.000000], [-0.475374, 0.447908, -0.475131, 0.191275, -0.320328, -0.456565, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.024988, 20.658022, 20.817299, 21.721024, 125.263642], [14.272948, 14.402020, 15.340753, 16.156970, 19.024514], [23.407251, 23.952185, 24.030576, 26.718467, 173.058588], [18.697908, 19.906563, 20.401173, 23.684801, 78.417642], [34.281995, 34.543354, 37.065107, 37.273390, 104.937213], [27.222394, 29.705171, 30.350103, 32.183200, 179.506526]]
### 4
mean: [0.716270, 0.242615, -0.117771, 0.498718, 0.959683, 0.376353]
std: [0.301268, 0.917393, 0.199580, 0.940908, 0.869216, 0.615624]
pca: [[0.172032, 0.546797, 0.196097, 0.777210, -0.163064, 0.048161, 0.000000, 0.000000, 0.000000, 0.000000], [0.531136, 0.071524, 0.189983, -0.042354, 0.821308, -0.018554, 0.000000, 0.000000, 0.000000, 0.000000], [-0.111819, 0.474865, 0.630035, -0.514363, -0.134823, 0.286896, 0.000000, 0.000000, 0.000000, 0.000000], [0.544574, -0.359029, 0.005500, 0.023646, -0.305297, 0.693355, 0.000000, 0.000000, 0.000000, 0.000000], [0.502610, 0.473945, -0.504343, -0.359184, -0.273900, -0.253698, 0.000000, 0.000000, 0.000000, 0.000000], [0.355833, -0.341869, 0.523562, -0.003013, -0.335348, -0.608214, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.001617, 5.065394, 5.112927, 5.620021, 64.464321], [15.930221, 16.309729, 16.359580, 17.078197, 21.835361], [3.493658, 3.555820, 3.625055, 3.987240, 10.599375], [16.810518, 16.834887, 16.935670, 17.468804, 44.884609], [14.703271, 15.009616, 15.544378, 16.415335, 86.371489], [11.009110, 11.026780, 11.281711, 11.308716, 33.871811]]
### 6
mean: [0.454541, 0.505292, 0.237145, 0.841847, -1.682418, 0.174338]
std: [1.076730, 0.978730, 0.500707, 0.594008, 1.573342, 0.397768]
pca: [[-0.465424, -0.150394, 0.278138, 0.614108, -0.494034, -0.249406, 0.000000, 0.000000, 0.000000, 0.000000], [-0.423013, -0.267052, 0.447369, -0.343294, 0.512526, -0.411182, 0.000000, 0.000000, 0.000000, 0.000000], [0.215811, 0.812559, 0.301119, 0.069822, 0.029575, -0.443565, 0.000000, 0.000000, 0.000000, 0.000000], [-0.256717, 0.205951, -0.202489, 0.585882, 0.666433, 0.251572, 0.000000, 0.000000, 0.000000, 0.000000], [0.680078, -0.450939, 0.104444, 0.392702, 0.219138, -0.347855, 0.000000, 0.000000, 0.000000, 0.000000], [0.171627, 0.007122, 0.761523, 0.051695, 0.014804, 0.622643, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.661364, 19.343720, 19.654050, 20.026381, 40.908670], [16.939713, 17.524732, 17.887317, 18.247980, 45.476249], [8.983693, 9.154076, 9.198874, 9.370376, 21.343029], [10.245753, 10.603140, 10.882694, 11.051561, 75.766199], [27.031059, 27.962364, 28.693707, 29.384999, 151.417682], [6.956476, 7.096425, 7.380626, 7.427324, 15.690430]]
### 8
mean: [0.375270, 0.462251, -1.374982, -0.021339, 0.277106, 0.327777]
std: [1.171829, 0.634031, 0.836077, 0.564066, 0.507311, 0.546212]
pca: [[0.640782, 0.327534, -0.103836, 0.269991, 0.617757, 0.129687, 0.000000, 0.000000, 0.000000, 0.000000], [-0.345773, 0.693732, -0.263323, -0.539262, 0.157121, 0.119783, 0.000000, 0.000000, 0.000000, 0.000000], [-0.457022, -0.389141, -0.406506, 0.110794, 0.621479, -0.275576, 0.000000, 0.000000, 0.000000, 0.000000], [-0.308117, 0.401827, -0.269979, 0.769511, -0.279515, 0.020834, 0.000000, 0.000000, 0.000000, 0.000000], [-0.277367, -0.185728, 0.194517, 0.097999, 0.187576, 0.897746, 0.000000, 0.000000, 0.000000, 0.000000], [-0.298501, 0.253115, 0.802438, 0.149248, 0.306821, -0.294125, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.403878, 21.358928, 21.666252, 21.794036, 33.774281], [11.317555, 11.597653, 11.631374, 12.010488, 41.602634], [14.514798, 15.122376, 15.466733, 15.538348, 123.748364], [9.691962, 9.853620, 10.337842, 10.399647, 10.592862], [8.845056, 9.250918, 9.376612, 9.450669, 24.939494], [9.572205, 10.019365, 10.165552, 10.240781, 29.499890]]
### 10
mean: [0.632233, 0.525091, 0.342147, 0.632088, -0.436890, -0.880947]
std: [0.648760, 0.909570, 0.355413, 0.415465, 0.357686, 0.225164]
pca: [[0.496194, 0.028244, -0.156003, -0.519429, -0.455258, 0.501589, 0.000000, 0.000000, 0.000000, 0.000000], [0.693956, -0.501528, -0.232083, 0.335316, 0.295641, -0.114858, 0.000000, 0.000000, 0.000000, 0.000000], [0.265761, 0.585078, -0.184905, 0.531515, -0.467616, -0.227359, 0.000000, 0.000000, 0.000000, 0.000000], [0.313015, 0.560412, 0.348559, 0.015101, 0.599461, 0.326932, 0.000000, 0.000000, 0.000000, 0.000000], [-0.273080, -0.168084, -0.111960, 0.551840, -0.063037, 0.759038, 0.000000, 0.000000, 0.000000, 0.000000], [0.170403, -0.251081, 0.868091, 0.174623, -0.351204, -0.022371, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.660295, 11.780505, 11.833168, 12.455320, 56.900961], [15.790280, 16.645888, 16.939351, 17.112438, 47.258223], [6.163938, 6.680361, 6.832759, 7.043554, 30.793257], [7.303636, 7.720622, 7.885343, 8.172709, 56.887930], [6.401245, 6.441155, 6.550476, 6.933911, 39.320136], [3.941608, 4.073761, 4.156087, 4.221732, 79.285203]]
### 12
mean: [-0.840875]
std: [0.628936]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.867712, 11.845851, 11.949211, 12.438588, 75.678734]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
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{"num_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": [[0.197788, -0.39822, -0.040704, -0.177405, -0.171569], [0.688591, 0.155686, -0.082728, 0.113233, 0.393541], [-0.391385, 0.16467, -0.092757, 0.345381, 0.052921], [-0.504137, 0.205779, 0.268374, -0.04269, 0.339102], [-0.159868, 0.601002, 0.341208, 0.114867, 0.257658], [0.502845, 0.441981, 0.38202, -0.276821, -0.15062]], "network.0.bias": [0.488631, 0.28814, 0.238728, 0.315545, 0.383956, -0.137262], "network.2.weight": [[-0.024377, -0.369211, -0.170665, 0.549245, -0.200789, -0.228969], [0.070964, 0.139515, -0.069261, 0.110609, -0.249957, 0.445957], [0.363702, -0.385106, 0.038988, 0.298277, -0.232984, -0.316532], [-0.27112, 0.089231, -0.356778, -0.555679, 0.34177, 0.317298], [-0.19824, 0.564446, -0.288172, -0.648936, 0.253564, 0.418831], [0.744591, -0.596558, 0.221585, 0.326864, -0.293622, -0.187291]], "network.2.bias": [-0.268629, -0.108479, -0.485136, 0.219261, -0.275389, -0.354399], "network.4.weight": [[-0.115353, -0.161975, 0.221609, 0.154715, 0.111958, -0.04854], [0.270289, 0.121534, 0.586701, 0.257671, 0.237148, 0.44058], [0.163309, -0.057867, 0.089021, 0.136114, -0.160538, -0.127695], [0.402069, 0.19303, 0.483885, 0.161044, 0.274587, 0.689231], [-0.105486, 0.097066, -0.164392, 0.280016, 0.24579, 0.039064], [0.549181, 0.136088, 0.64859, 0.136021, 0.136157, 0.710619]], "network.4.bias": [0.51098, -0.17111, -0.007997, 0.123287, 0.384906, 0.234927], "network.6.weight": [[0.155348, 0.038232, -0.397746, 0.502191, 0.318844, 0.38942], [-0.141516, 0.028348, -0.250256, 0.390674, 0.569798, 0.185448], [0.49764, -0.275138, 0.163128, -0.281746, -0.079445, -0.15388], [0.340234, 0.110149, 0.176678, 0.255663, -0.004641, 0.310225], [-0.537169, -0.406233, 0.319441, -0.582872, -0.577578, 0.009468], [-0.156399, -0.363296, -0.279848, -0.340136, 0.167802, 0.156695]], "network.6.bias": [-0.305795, -0.166275, 0.313528, 0.394275, -0.463261, 0.348427], "network.8.weight": [[0.490154, 0.299779, -0.244991, 0.414995, 0.382244, -0.289221], [0.020795, -0.492679, 0.523868, 0.09872, -0.682895, 0.649074], [-0.260869, -0.074878, 0.127182, -0.692177, 0.21562, 0.295535], [-0.305579, -0.059518, 0.234427, -0.003288, -0.583706, 0.69082], [-0.339029, -0.01741, 0.175031, -0.145592, -0.003712, 0.093389], [-0.376477, -0.305314, 0.299329, 0.461642, -0.419456, 0.476829]], "network.8.bias": [-0.157393, 0.320095, -0.771789, -0.074522, 0.498718, 0.14255], "network.10.weight": [[-0.313797, 0.360841, -0.358713, 0.209845, 0.395736, 0.243512], [-0.586461, 0.349539, -0.106191, -0.003594, 0.349661, 0.324403], [-0.009347, 0.486581, -0.055182, 0.06718, -0.001654, 0.692667], [-0.064148, 0.587746, -0.202875, 0.325826, -0.000478, 0.394226], [0.140983, -0.19051, 0.386709, -0.377943, -0.173041, -0.13784], [-0.22317, -0.098885, 0.3028, 0.5939, -0.169365, -0.03913]], "network.10.bias": [0.371097, 0.436268, -0.102313, 0.217239, -0.243202, -0.693159], "network.12.weight": [[-0.356882, -0.629115, -0.169942, -0.397866, 0.451181, 0.353217]], "network.12.bias": [0.114339]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6911074817180634, "train_acc": 0.48, "val_loss": 0.7009859681129456, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6864306032657623, "train_acc": 0.57, "val_loss": 0.712972104549408, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6799429059028625, "train_acc": 0.57, "val_loss": 0.6937928199768066, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.653622180223465, "train_acc": 0.57, "val_loss": 0.645789623260498, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6400697827339172, "train_acc": 0.505, "val_loss": 0.5846803188323975, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5491571724414825, "train_acc": 0.775, "val_loss": 0.47221052646636963, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4143495559692383, "train_acc": 0.895, "val_loss": 0.3281833231449127, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3021267503499985, "train_acc": 0.91, "val_loss": 0.24718622863292694, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.18057582899928093, "train_acc": 0.925, "val_loss": 0.3410269021987915, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.1914425790309906, "train_acc": 0.925, "val_loss": 0.3475606143474579, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.1898050531744957, "train_acc": 0.935, "val_loss": 0.2240116447210312, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.16236340254545212, "train_acc": 0.935, "val_loss": 0.23707565665245056, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.13291266560554504, "train_acc": 0.945, "val_loss": 0.22072696685791016, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.12019769102334976, "train_acc": 0.96, "val_loss": 0.5923652052879333, "val_acc": 0.9}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7009859681129456, "final_val_loss": 0.645789623260498, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5846803188323975, "final_val_loss": 0.5923652052879333, "initial_val_acc": 0.56, "final_val_acc": 0.9, "best_val_acc": 0.92, "best_epoch": 5}, "improvement": 0.44000000000000006, "first_improvement_epoch": 3}}
|
9,702
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.48, "improved_accuracy": 1.0, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5257, "learning_rate": 0.02117005702157229, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.172738,
0.084611,
-0.168547,
0.131685,
-0.179962,
0.062209,
0.052976,
0.291451
],
[
-0.554111,
-0.315438,
-0.142899,
-0.512975,
-0.273813,
-0.505402,
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0.524721
],
[
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0.122571,
-0.475827,
-0.334817,
0.252301,
-0.186055,
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0.01749
],
[
0.058583,
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0.070356,
-0.095696,
0.015535,
0.021991,
0.091223,
0.450414
],
[
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0.179932,
-0.096408,
0.45652
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[
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0.257477,
0.014196,
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]
],
"network.6.bias": [
0.209961,
0.399688,
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0.312671,
0.124443,
-0.032144,
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],
"network.8.weight": [
[
0.57106,
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0.395785,
0.495684,
0.402091,
0.337305,
0.547071,
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]
],
"network.8.bias": [
0.241438
]
}
## Activation Signature
### 0
mean: [-2.299197, -1.534603, 2.256489, 1.173791, -0.083091, 3.902683, 0.628856, -0.975174]
std: [1.487052, 2.186186, 2.437746, 1.320801, 1.294726, 2.850015, 1.450033, 1.896724]
pca: [[-0.072936, 0.613326, 0.059355, 0.332476, 0.287596, 0.098163, 0.491956, 0.412408, 0.000000, 0.000000], [-0.452053, -0.315615, 0.116981, 0.005991, -0.105883, 0.030314, -0.280564, 0.769069, 0.000000, 0.000000], [0.466620, 0.019892, 0.713058, -0.023592, -0.211043, 0.461098, -0.077150, 0.098786, 0.000000, 0.000000], [0.080418, -0.436887, 0.056395, 0.660267, -0.386325, -0.215653, 0.407468, -0.041784, 0.000000, 0.000000], [-0.207713, -0.269362, 0.133922, 0.453692, 0.640689, 0.349067, -0.236865, -0.268500, 0.000000, 0.000000], [0.587989, -0.400212, -0.135725, -0.186070, 0.500269, -0.192043, 0.183379, 0.346812, 0.000000, 0.000000], [0.205766, -0.039364, -0.651026, 0.123417, -0.224576, 0.669194, -0.037941, 0.131720, 0.000000, 0.000000], [-0.367303, -0.314128, 0.104739, -0.444100, 0.033235, 0.351820, 0.645065, -0.131250, 0.000000, 0.000000]]
fourier: [[22.996725, 24.102342, 28.346479, 32.121306, 206.927724], [35.915309, 36.416105, 36.982026, 40.107914, 138.114288], [40.068275, 44.574492, 50.948664, 52.845228, 203.084040], [20.716898, 20.756263, 22.148828, 24.936479, 105.641169], [19.337804, 20.046630, 21.378026, 21.747198, 24.014691], [42.449324, 42.632511, 54.808862, 57.433333, 351.241467], [24.261745, 26.562751, 27.038833, 27.520074, 56.596998], [30.956294, 31.698648, 32.766947, 32.958779, 87.765703]]
### 2
mean: [1.613703, 0.095450, -0.926077, 2.384563, -1.233163, -0.184414, 3.290988, 4.344498]
std: [1.635244, 0.973763, 1.059924, 1.812854, 1.926333, 1.509611, 2.721047, 2.984479]
pca: [[0.298617, -0.150831, 0.273794, -0.566411, -0.132149, 0.093446, 0.679499, -0.066165, 0.000000, 0.000000], [-0.093198, 0.480270, 0.462886, 0.280257, -0.251420, 0.469944, 0.039576, -0.426874, 0.000000, 0.000000], [-0.182304, -0.102963, -0.430999, -0.134687, 0.032529, 0.825570, 0.036891, 0.261301, 0.000000, 0.000000], [0.340306, 0.088309, 0.350090, -0.154831, 0.780615, 0.209635, -0.272341, 0.048802, 0.000000, 0.000000], [-0.354988, 0.351173, 0.284383, 0.137630, 0.118741, -0.109230, 0.341618, 0.712820, 0.000000, 0.000000], [-0.216574, 0.621180, -0.447812, -0.355457, 0.280264, -0.179293, 0.165213, -0.319931, 0.000000, 0.000000], [0.514413, 0.080009, -0.329382, 0.607886, 0.189815, 0.028365, 0.462384, -0.018067, 0.000000, 0.000000], [0.561745, 0.461088, -0.112015, -0.209053, -0.424536, 0.005092, -0.321538, 0.363244, 0.000000, 0.000000]]
fourier: [[25.071285, 29.115747, 29.128149, 32.679488, 145.233291], [14.323874, 14.701846, 14.739506, 16.294651, 16.442085], [17.728011, 18.808511, 18.883263, 20.221855, 83.346964], [30.550996, 31.115173, 32.956251, 34.393430, 214.610657], [29.909883, 33.662467, 33.783512, 39.505767, 110.984650], [20.161421, 21.670818, 24.021470, 27.686380, 35.974350], [42.611662, 47.049157, 51.015378, 56.269816, 296.188968], [46.525495, 47.131416, 57.218660, 61.222061, 391.004805]]
### 4
mean: [-1.493278, 5.773685, 4.243161, 5.433105, 5.718315, 3.682704, -0.667386, -1.468228]
std: [1.217811, 4.513974, 3.197436, 4.106423, 4.563528, 3.367009, 0.411225, 2.055986]
pca: [[-0.130185, -0.048280, 0.650919, -0.496139, 0.424937, -0.019063, 0.358414, 0.038421, 0.000000, 0.000000], [0.490912, 0.075553, -0.264843, -0.052593, 0.631208, -0.498100, -0.170862, -0.068322, 0.000000, 0.000000], [0.347610, 0.125579, 0.039168, -0.126623, 0.042393, 0.372410, -0.220558, 0.810369, 0.000000, 0.000000], [0.446082, 0.149637, 0.548772, 0.026807, -0.516572, -0.415953, -0.179762, -0.067620, 0.000000, 0.000000], [0.495930, 0.226378, 0.012870, -0.113171, 0.040593, 0.628112, 0.073432, -0.536907, 0.000000, 0.000000], [0.365265, -0.260990, -0.059073, 0.383424, -0.056164, -0.052694, 0.779424, 0.185819, 0.000000, 0.000000], [-0.028599, -0.275602, 0.440264, 0.673301, 0.358659, 0.198365, -0.323403, -0.059040, 0.000000, 0.000000], [-0.205070, 0.870908, 0.077399, 0.348099, 0.137558, -0.056362, 0.209526, 0.079387, 0.000000, 0.000000]]
fourier: [[18.906867, 21.233801, 22.166445, 24.384975, 134.395030], [70.976520, 73.286813, 81.366158, 91.940574, 519.631697], [49.967695, 52.042425, 58.765813, 65.243041, 381.884520], [65.682556, 66.446787, 76.023838, 84.940948, 488.979423], [71.240013, 74.278358, 84.272363, 93.016673, 514.648357], [55.355682, 56.348421, 58.214617, 68.852149, 331.443398], [6.886271, 7.597752, 8.354417, 9.582034, 60.064717], [32.178689, 32.236752, 38.756811, 42.764325, 132.140544]]
### 6
mean: [0.051563, 12.903225, -0.321135, -8.127411, -2.134367, -1.675356, -1.222155, 4.444207]
std: [0.249316, 10.022018, 0.375225, 7.060148, 1.826679, 1.450375, 1.071560, 3.643388]
pca: [[-0.017150, -0.154806, 0.562547, -0.424781, -0.387552, -0.027116, -0.397421, 0.412270, 0.000000, 0.000000], [0.768439, 0.292377, 0.369347, 0.196608, -0.172993, -0.124244, 0.009057, -0.321713, 0.000000, 0.000000], [-0.024109, 0.384464, 0.007495, -0.150232, -0.378118, 0.275736, 0.709977, 0.325438, 0.000000, 0.000000], [-0.541355, 0.117115, 0.624437, 0.282020, 0.038616, 0.227301, 0.088503, -0.403450, 0.000000, 0.000000], [-0.139930, -0.125219, 0.005268, 0.698332, -0.342498, -0.480069, 0.051713, 0.355808, 0.000000, 0.000000], [-0.108767, 0.568162, 0.189688, -0.136686, 0.540607, -0.485482, 0.002322, 0.287653, 0.000000, 0.000000], [-0.078654, 0.580324, -0.258439, 0.247867, -0.184302, 0.392572, -0.570012, 0.125756, 0.000000, 0.000000], [0.279218, -0.231859, 0.233121, 0.333186, 0.481544, 0.485655, 0.049808, 0.482384, 0.000000, 0.000000]]
fourier: [[3.803326, 4.155451, 4.234080, 4.528504, 4.640638], [158.965652, 164.133817, 181.482219, 204.405625, 1161.290233], [6.560905, 6.600883, 6.712451, 7.239414, 28.902133], [112.510553, 115.376604, 125.767175, 143.887132, 731.467036], [29.028395, 30.094127, 33.655789, 37.524165, 192.092994], [23.688569, 24.287767, 25.842945, 29.102067, 150.781998], [17.760774, 18.712879, 18.894304, 21.592301, 109.993941], [58.590459, 58.694144, 63.963396, 74.546224, 399.978653]]
### 8
mean: [-6.764791]
std: [5.636906]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[90.826482, 91.286725, 97.318743, 116.083828, 608.831240]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.005371,
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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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0.460662,
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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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0.272923,
0.444404,
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]
],
"network.4.bias": [
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0.03591,
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"network.6.weight": [
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]
],
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],
"network.8.weight": [
[
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0.495684,
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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [-2.299197, -1.534603, 2.256489, 1.173791, -0.083091, 3.902683, 0.628856, -0.975174]
std: [1.487052, 2.186186, 2.437746, 1.320801, 1.294726, 2.850015, 1.450033, 1.896724]
pca: [[-0.072936, 0.613326, 0.059355, 0.332476, 0.287596, 0.098163, 0.491956, 0.412408, 0.000000, 0.000000], [-0.452053, -0.315615, 0.116981, 0.005991, -0.105883, 0.030314, -0.280564, 0.769069, 0.000000, 0.000000], [0.466620, 0.019892, 0.713058, -0.023592, -0.211043, 0.461098, -0.077150, 0.098786, 0.000000, 0.000000], [0.080418, -0.436887, 0.056395, 0.660267, -0.386325, -0.215653, 0.407468, -0.041784, 0.000000, 0.000000], [-0.207713, -0.269362, 0.133922, 0.453692, 0.640689, 0.349067, -0.236865, -0.268500, 0.000000, 0.000000], [0.587989, -0.400212, -0.135725, -0.186070, 0.500269, -0.192043, 0.183379, 0.346812, 0.000000, 0.000000], [0.205766, -0.039364, -0.651026, 0.123417, -0.224576, 0.669194, -0.037941, 0.131720, 0.000000, 0.000000], [-0.367303, -0.314128, 0.104739, -0.444100, 0.033235, 0.351820, 0.645065, -0.131250, 0.000000, 0.000000]]
fourier: [[22.996725, 24.102342, 28.346479, 32.121306, 206.927724], [35.915309, 36.416105, 36.982026, 40.107914, 138.114288], [40.068275, 44.574492, 50.948664, 52.845228, 203.084040], [20.716898, 20.756263, 22.148828, 24.936479, 105.641169], [19.337804, 20.046630, 21.378026, 21.747198, 24.014691], [42.449324, 42.632511, 54.808862, 57.433333, 351.241467], [24.261745, 26.562751, 27.038833, 27.520074, 56.596998], [30.956294, 31.698648, 32.766947, 32.958779, 87.765703]]
### 2
mean: [1.613703, 0.095450, -0.926077, 2.384563, -1.233163, -0.184414, 3.290988, 4.344498]
std: [1.635244, 0.973763, 1.059924, 1.812854, 1.926333, 1.509611, 2.721047, 2.984479]
pca: [[0.298617, -0.150831, 0.273794, -0.566411, -0.132149, 0.093446, 0.679499, -0.066165, 0.000000, 0.000000], [-0.093198, 0.480270, 0.462886, 0.280257, -0.251420, 0.469944, 0.039576, -0.426874, 0.000000, 0.000000], [-0.182304, -0.102963, -0.430999, -0.134687, 0.032529, 0.825570, 0.036891, 0.261301, 0.000000, 0.000000], [0.340306, 0.088309, 0.350090, -0.154831, 0.780615, 0.209635, -0.272341, 0.048802, 0.000000, 0.000000], [-0.354988, 0.351173, 0.284383, 0.137630, 0.118741, -0.109230, 0.341618, 0.712820, 0.000000, 0.000000], [-0.216574, 0.621180, -0.447812, -0.355457, 0.280264, -0.179293, 0.165213, -0.319931, 0.000000, 0.000000], [0.514413, 0.080009, -0.329382, 0.607886, 0.189815, 0.028365, 0.462384, -0.018067, 0.000000, 0.000000], [0.561745, 0.461088, -0.112015, -0.209053, -0.424536, 0.005092, -0.321538, 0.363244, 0.000000, 0.000000]]
fourier: [[25.071285, 29.115747, 29.128149, 32.679488, 145.233291], [14.323874, 14.701846, 14.739506, 16.294651, 16.442085], [17.728011, 18.808511, 18.883263, 20.221855, 83.346964], [30.550996, 31.115173, 32.956251, 34.393430, 214.610657], [29.909883, 33.662467, 33.783512, 39.505767, 110.984650], [20.161421, 21.670818, 24.021470, 27.686380, 35.974350], [42.611662, 47.049157, 51.015378, 56.269816, 296.188968], [46.525495, 47.131416, 57.218660, 61.222061, 391.004805]]
### 4
mean: [-1.493278, 5.773685, 4.243161, 5.433105, 5.718315, 3.682704, -0.667386, -1.468228]
std: [1.217811, 4.513974, 3.197436, 4.106423, 4.563528, 3.367009, 0.411225, 2.055986]
pca: [[-0.130185, -0.048280, 0.650919, -0.496139, 0.424937, -0.019063, 0.358414, 0.038421, 0.000000, 0.000000], [0.490912, 0.075553, -0.264843, -0.052593, 0.631208, -0.498100, -0.170862, -0.068322, 0.000000, 0.000000], [0.347610, 0.125579, 0.039168, -0.126623, 0.042393, 0.372410, -0.220558, 0.810369, 0.000000, 0.000000], [0.446082, 0.149637, 0.548772, 0.026807, -0.516572, -0.415953, -0.179762, -0.067620, 0.000000, 0.000000], [0.495930, 0.226378, 0.012870, -0.113171, 0.040593, 0.628112, 0.073432, -0.536907, 0.000000, 0.000000], [0.365265, -0.260990, -0.059073, 0.383424, -0.056164, -0.052694, 0.779424, 0.185819, 0.000000, 0.000000], [-0.028599, -0.275602, 0.440264, 0.673301, 0.358659, 0.198365, -0.323403, -0.059040, 0.000000, 0.000000], [-0.205070, 0.870908, 0.077399, 0.348099, 0.137558, -0.056362, 0.209526, 0.079387, 0.000000, 0.000000]]
fourier: [[18.906867, 21.233801, 22.166445, 24.384975, 134.395030], [70.976520, 73.286813, 81.366158, 91.940574, 519.631697], [49.967695, 52.042425, 58.765813, 65.243041, 381.884520], [65.682556, 66.446787, 76.023838, 84.940948, 488.979423], [71.240013, 74.278358, 84.272363, 93.016673, 514.648357], [55.355682, 56.348421, 58.214617, 68.852149, 331.443398], [6.886271, 7.597752, 8.354417, 9.582034, 60.064717], [32.178689, 32.236752, 38.756811, 42.764325, 132.140544]]
### 6
mean: [0.051563, 12.903225, -0.321135, -8.127411, -2.134367, -1.675356, -1.222155, 4.444207]
std: [0.249316, 10.022018, 0.375225, 7.060148, 1.826679, 1.450375, 1.071560, 3.643388]
pca: [[-0.017150, -0.154806, 0.562547, -0.424781, -0.387552, -0.027116, -0.397421, 0.412270, 0.000000, 0.000000], [0.768439, 0.292377, 0.369347, 0.196608, -0.172993, -0.124244, 0.009057, -0.321713, 0.000000, 0.000000], [-0.024109, 0.384464, 0.007495, -0.150232, -0.378118, 0.275736, 0.709977, 0.325438, 0.000000, 0.000000], [-0.541355, 0.117115, 0.624437, 0.282020, 0.038616, 0.227301, 0.088503, -0.403450, 0.000000, 0.000000], [-0.139930, -0.125219, 0.005268, 0.698332, -0.342498, -0.480069, 0.051713, 0.355808, 0.000000, 0.000000], [-0.108767, 0.568162, 0.189688, -0.136686, 0.540607, -0.485482, 0.002322, 0.287653, 0.000000, 0.000000], [-0.078654, 0.580324, -0.258439, 0.247867, -0.184302, 0.392572, -0.570012, 0.125756, 0.000000, 0.000000], [0.279218, -0.231859, 0.233121, 0.333186, 0.481544, 0.485655, 0.049808, 0.482384, 0.000000, 0.000000]]
fourier: [[3.803326, 4.155451, 4.234080, 4.528504, 4.640638], [158.965652, 164.133817, 181.482219, 204.405625, 1161.290233], [6.560905, 6.600883, 6.712451, 7.239414, 28.902133], [112.510553, 115.376604, 125.767175, 143.887132, 731.467036], [29.028395, 30.094127, 33.655789, 37.524165, 192.092994], [23.688569, 24.287767, 25.842945, 29.102067, 150.781998], [17.760774, 18.712879, 18.894304, 21.592301, 109.993941], [58.590459, 58.694144, 63.963396, 74.546224, 399.978653]]
### 8
mean: [-6.764791]
std: [5.636906]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[90.826482, 91.286725, 97.318743, 116.083828, 608.831240]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 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": [[0.005371, -0.084412, -0.103662, -0.26506, -0.656927], [-0.521973, -0.770133, -0.131893, 0.082137, 0.461174], [0.38591, 0.841022, -0.226322, 0.52711, -0.375426], [0.504223, -0.308485, -0.198632, 0.408835, 0.257064], [-0.00899, -0.695709, -0.041429, 0.320183, 0.109537], [0.66492, 0.759942, 0.346557, 0.393905, 0.124041], [0.466333, 0.178634, 0.223912, -0.267361, 0.128984], [-0.668366, -0.436128, 0.019532, 0.032529, 0.506849]], "network.0.bias": [-0.55691, 0.048907, 0.049145, 0.329593, 0.460662, -0.031167, -0.330448, -0.084379], "network.2.weight": [[-0.448399, -0.340555, 0.379662, 0.298453, 0.040705, -0.068149, 0.724933, -0.584291], [0.149515, 0.161744, -0.425272, 0.152523, 0.507216, 0.256554, -0.201753, 0.311377], [0.120731, -0.102554, 0.15934, -0.198054, 0.049407, -0.326153, -0.210652, 0.410691], [-0.103078, -0.398372, 0.207039, 0.441188, -0.369119, 0.183811, 0.499407, -0.067623], [0.064867, 0.537984, -0.497953, 0.156608, 0.350661, -0.078383, -0.506474, 0.235316], [0.014949, 0.634992, 0.017307, 0.239363, 0.298676, -0.075407, -0.844745, 0.350605], [-0.38707, -0.050199, 0.254036, -0.269805, -0.595241, 0.73297, 0.143, 0.060784], [-0.280476, -0.264099, 0.428739, 0.208443, 0.166598, 0.62904, 0.229642, -0.161221]], "network.2.bias": [0.157427, -0.171818, 0.309884, 0.447558, 0.226107, 0.221785, 0.242838, 0.452607], "network.4.weight": [[-0.215893, 0.372385, 0.307621, -0.338852, -0.130126, -0.204504, -0.00098, -0.084553], [0.450816, 0.027843, 0.553798, 0.394979, -0.436813, -0.137747, 0.500046, 0.55986], [0.39056, 0.028986, -0.240307, 0.15675, -0.250776, -0.058263, 0.455008, 0.350042], [0.129073, -0.211264, -0.499803, 0.318932, -0.232042, -0.074855, 0.554203, 0.576414], [0.55746, 0.037058, -0.34727, 0.204015, -0.268514, -0.107509, 0.6178, 0.543179], [0.458956, -0.383848, 0.123508, 0.279952, -0.183522, -0.182203, 0.367737, 0.329824], [0.098263, -0.176209, 0.261442, -0.366601, -0.002309, -0.222163, -0.078837, 0.117458], [-0.532582, 0.361228, -0.044209, -0.351954, 0.272923, 0.444404, -0.315285, 0.238009]], "network.4.bias": [0.018375, 0.232687, 0.291451, 0.275363, 0.03591, -0.120145, -0.078791, -0.095306], "network.6.weight": [[-0.092525, -0.014198, -0.251914, 0.186049, 0.106166, -0.18882, -0.577208, -0.091711], [-0.187293, 0.54223, 0.478504, 0.606963, 0.50136, 0.345674, 0.081949, -0.459246], [-0.172738, 0.084611, -0.168547, 0.131685, -0.179962, 0.062209, 0.052976, 0.291451], [-0.554111, -0.315438, -0.142899, -0.512975, -0.273813, -0.505402, -0.475018, 0.524721], [-0.214849, 0.122571, -0.475827, -0.334817, 0.252301, -0.186055, -0.613318, 0.01749], [0.058583, -0.285046, 0.070356, -0.095696, 0.015535, 0.021991, 0.091223, 0.450414], [-0.540419, -0.021608, -0.150276, -0.157959, -0.055834, 0.179932, -0.096408, 0.45652], [-0.299959, 0.104242, 0.505053, 0.058726, 0.257477, 0.014196, 0.519792, -0.405237]], "network.6.bias": [0.209961, 0.399688, -0.068478, 0.312671, 0.124443, -0.032144, -0.088721, -0.019093], "network.8.weight": [[0.57106, -0.451857, 0.395785, 0.495684, 0.402091, 0.337305, 0.547071, -0.259811]], "network.8.bias": [0.241438]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.702534943819046, "train_acc": 0.415, "val_loss": 0.689851701259613, "val_acc": 0.64}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6903044283390045, "train_acc": 0.505, "val_loss": 0.6846650838851929, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6750820279121399, "train_acc": 0.585, "val_loss": 0.6743022203445435, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6549085974693298, "train_acc": 0.585, "val_loss": 0.6532336473464966, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6371411681175232, "train_acc": 0.505, "val_loss": 0.5999561548233032, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5871805250644684, "train_acc": 0.79, "val_loss": 0.5150721073150635, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.49309229850769043, "train_acc": 0.89, "val_loss": 0.38231343030929565, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3713233023881912, "train_acc": 0.91, "val_loss": 0.23471704125404358, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.26854412257671356, "train_acc": 0.895, "val_loss": 0.14297111332416534, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.22655152529478073, "train_acc": 0.905, "val_loss": 0.09755761921405792, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.2373361438512802, "train_acc": 0.915, "val_loss": 0.05874175205826759, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.2500256597995758, "train_acc": 0.915, "val_loss": 0.06494627147912979, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.19124776124954224, "train_acc": 0.91, "val_loss": 0.04042790085077286, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.17478550970554352, "train_acc": 0.93, "val_loss": 0.040386468172073364, "val_acc": 1.0}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.689851701259613, "final_val_loss": 0.6532336473464966, "initial_val_acc": 0.64, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5999561548233032, "final_val_loss": 0.040386468172073364, "initial_val_acc": 0.78, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 12}, "improvement": 0.52, "first_improvement_epoch": 3}}
|
9,703
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.56, "improved_accuracy": 0.84, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2117, "learning_rate": 0.054479666587012976, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.2.weight": [
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"network.6.weight": [
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}
## Activation Signature
### 0
mean: [1.045130, -1.649865, 1.158601, -2.243412, -2.530765, 0.677821, -1.759458, -0.688695]
std: [1.405699, 1.219978, 1.046394, 1.482175, 1.492128, 2.061923, 1.260384, 1.404662]
pca: [[-0.231896, 0.297525, 0.545646, -0.423547, 0.558013, -0.018348, 0.167342, 0.202142, 0.000000, 0.000000], [0.275219, -0.300665, -0.271620, -0.430909, 0.008171, 0.072749, 0.752655, -0.050459, 0.000000, 0.000000], [-0.095740, 0.153603, -0.442188, 0.458121, 0.568585, -0.427795, 0.235219, 0.014457, 0.000000, 0.000000], [0.501217, -0.088595, 0.379245, 0.008969, 0.130444, -0.418321, -0.079981, -0.631364, 0.000000, 0.000000], [0.482375, -0.206723, -0.282285, -0.238061, 0.469974, 0.210398, -0.505095, 0.260688, 0.000000, 0.000000], [0.195226, 0.803826, -0.348166, -0.348399, -0.195801, -0.075582, -0.076193, -0.152620, 0.000000, 0.000000], [0.440724, 0.084102, 0.222224, 0.137890, -0.271312, -0.421539, 0.120955, 0.681437, 0.000000, 0.000000], [0.380864, 0.306092, 0.197100, 0.477390, 0.124200, 0.639292, 0.261199, -0.046425, 0.000000, 0.000000]]
fourier: [[23.913228, 25.366597, 26.546295, 30.330301, 94.061709], [17.665072, 18.591422, 22.402567, 24.458595, 148.487863], [17.530633, 17.572799, 17.689135, 17.847899, 104.274064], [23.368676, 24.966497, 24.995994, 29.238150, 201.907046], [24.672211, 24.748836, 25.569664, 29.294912, 227.768845], [31.223602, 31.881740, 32.223307, 37.729589, 61.003904], [18.654528, 18.677479, 21.513538, 21.578682, 158.351228], [22.171327, 23.664366, 23.817578, 24.634061, 61.982569]]
### 2
mean: [0.849565, 0.420687, 0.680261, 0.301924, -0.686596, 0.918784, -1.136487, 0.529963]
std: [0.988578, 0.885233, 0.816960, 0.970048, 0.539499, 0.372462, 0.772410, 0.689940]
pca: [[0.291453, 0.613293, 0.198942, -0.247420, 0.139092, 0.306611, 0.452900, -0.345914, 0.000000, 0.000000], [-0.375296, 0.440950, 0.350361, -0.246810, -0.181764, -0.138912, 0.005607, 0.654738, 0.000000, 0.000000], [-0.124719, -0.543770, 0.363565, -0.085147, -0.259341, 0.558894, 0.396648, 0.111264, 0.000000, 0.000000], [0.605499, 0.052699, -0.115136, -0.168571, -0.118446, 0.448147, -0.482388, 0.375976, 0.000000, 0.000000], [-0.154391, 0.308948, -0.208419, 0.803966, -0.068169, 0.376343, 0.113838, 0.177972, 0.000000, 0.000000], [-0.054186, -0.042352, 0.640802, 0.230475, 0.604508, 0.128578, -0.382020, -0.060189, 0.000000, 0.000000], [-0.452433, -0.012875, -0.483177, -0.361467, 0.522585, 0.384373, -0.022160, 0.098449, 0.000000, 0.000000], [0.400695, -0.183203, -0.068620, 0.109831, 0.472394, -0.259972, 0.495412, 0.502926, 0.000000, 0.000000]]
fourier: [[15.911491, 16.156394, 16.385076, 21.127427, 76.460891], [15.721149, 16.096269, 18.130368, 18.746109, 37.861865], [11.026985, 11.322349, 16.684078, 17.829159, 61.223492], [16.830181, 16.900798, 17.242627, 18.428279, 27.173194], [8.860613, 8.876812, 10.819102, 10.934957, 61.793596], [6.132699, 6.266073, 6.276644, 6.363705, 82.690559], [11.680621, 12.886021, 13.035543, 14.490298, 102.283806], [11.860015, 11.873086, 14.124825, 14.254222, 47.696712]]
### 4
mean: [-0.276217, 0.960392, -1.051349, 0.044838, -0.412188, 0.022449, 0.068692, 0.450264]
std: [0.550550, 1.012179, 0.365273, 0.780908, 0.254157, 0.258863, 0.859971, 0.956382]
pca: [[-0.300999, 0.240610, 0.268796, -0.192845, 0.213152, -0.374507, 0.511887, 0.542539, 0.000000, 0.000000], [0.543246, -0.474427, -0.370767, -0.200703, 0.235818, -0.139036, 0.476360, -0.013922, 0.000000, 0.000000], [0.098847, -0.186426, 0.764141, -0.323070, 0.058817, -0.029685, 0.107812, -0.501223, 0.000000, 0.000000], [-0.497228, 0.087650, -0.242906, 0.090944, 0.112468, 0.397501, 0.550741, -0.451483, 0.000000, 0.000000], [0.129846, -0.118172, 0.211648, -0.146131, 0.164271, 0.815653, 0.007553, 0.459014, 0.000000, 0.000000], [0.139940, 0.099115, 0.149677, 0.574823, 0.773252, -0.053632, -0.102968, -0.079819, 0.000000, 0.000000], [0.479025, 0.369097, 0.203007, 0.455239, -0.449044, 0.089537, 0.419714, 0.005533, 0.000000, 0.000000], [0.302273, 0.717334, -0.197374, -0.500865, 0.237283, 0.073088, -0.096409, -0.182484, 0.000000, 0.000000]]
fourier: [[8.840481, 10.083588, 11.025326, 11.284960, 24.859574], [15.308030, 18.893915, 20.455971, 20.906827, 86.435298], [5.807135, 5.856077, 7.380956, 7.572627, 94.621434], [11.784165, 13.378055, 13.524055, 13.649738, 13.848569], [4.348058, 4.481840, 4.497055, 5.450324, 37.096946], [3.597660, 3.706830, 3.857489, 4.214215, 5.406272], [11.638708, 11.854474, 14.172100, 14.959014, 19.199397], [13.921204, 14.791636, 18.232510, 21.476474, 40.523787]]
### 6
mean: [-0.454139, 0.253022, -0.022365, 0.641839, 0.457516, -0.349114, 0.518241, 0.278985]
std: [0.192624, 0.609380, 0.281727, 0.568793, 1.023586, 0.334636, 0.514686, 0.786862]
pca: [[-0.026426, -0.173312, -0.295091, 0.559916, 0.210664, -0.064062, 0.139594, 0.707609, 0.000000, 0.000000], [0.444680, 0.173223, 0.147714, -0.181140, 0.201235, 0.725624, -0.227239, 0.314578, 0.000000, 0.000000], [-0.024175, -0.262711, -0.000506, 0.424173, 0.473212, 0.377970, 0.264757, -0.559990, 0.000000, 0.000000], [-0.417926, -0.113759, 0.785662, -0.115342, 0.318880, -0.071387, 0.103610, 0.253601, 0.000000, 0.000000], [-0.356859, 0.856626, -0.099557, 0.118635, 0.063687, 0.142485, 0.300802, -0.004310, 0.000000, 0.000000], [0.215665, -0.169742, 0.053596, -0.232410, -0.330197, 0.146880, 0.850652, 0.116520, 0.000000, 0.000000], [0.358864, 0.188819, 0.509026, 0.614015, -0.427701, -0.079451, -0.058659, -0.082220, 0.000000, 0.000000], [0.568922, 0.244390, 0.044109, -0.123908, 0.541754, -0.522705, 0.174678, -0.045525, 0.000000, 0.000000]]
fourier: [[2.966921, 3.009956, 3.147623, 3.662633, 40.872542], [10.114394, 11.458913, 13.295915, 13.765529, 22.772020], [3.817514, 3.960930, 4.488445, 4.884963, 4.937546], [9.349966, 9.584212, 12.094209, 12.345352, 57.765534], [14.666925, 15.299735, 18.054313, 21.820026, 41.176424], [4.751305, 5.040160, 5.850031, 7.724479, 31.420220], [8.379929, 10.626104, 11.063655, 11.748151, 46.641705], [12.765401, 15.180166, 17.384326, 17.647796, 25.108650]]
### 8
mean: [-0.197484]
std: [0.919691]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.450569, 17.188599, 17.773519, 18.956680, 19.145662]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.178133,
0.22342,
0.076295,
-0.225717,
0.623912
],
[
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],
[
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0.141084,
-0.315965
],
[
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],
[
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],
[
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0.504617,
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-0.403305
],
[
0.188607,
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0.02689,
-0.388085,
-0.311722
],
[
0.181204,
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0.32648,
-0.419534,
-0.41144
]
],
"network.0.bias": [
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0.012573,
0.282477,
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-0.367551,
0.061125,
-0.352706,
-0.033231
],
"network.2.weight": [
[
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0.081573,
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-0.370172,
0.158903,
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],
[
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0.60153,
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0.062703,
-0.239916,
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0.067769
],
[
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],
[
0.012481,
0.105848,
-0.262811,
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0.561127,
0.179092,
0.256898
],
[
-0.389005,
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0.101241,
0.0938,
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0.032209,
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],
[
0.217482,
-0.16064,
0.351027,
0.138209,
0.303624,
-0.109357,
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],
[
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0.202218,
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0.313683,
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]
],
"network.2.bias": [
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],
"network.4.weight": [
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[
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0.405697,
0.280945,
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[
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[
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0.117065
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[
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0.325706,
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0.133226,
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0.321953
],
[
-0.329845,
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0.589239,
-0.065068,
-0.164875,
0.373859,
0.237759,
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]
],
"network.4.bias": [
0.093336,
0.430043,
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],
"network.6.weight": [
[
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0.009384,
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],
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],
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],
[
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],
[
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[
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],
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]
],
"network.6.bias": [
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],
"network.8.weight": [
[
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]
],
"network.8.bias": [
-0.159125
]
}
## Activation Signature
### 0
mean: [1.045130, -1.649865, 1.158601, -2.243412, -2.530765, 0.677821, -1.759458, -0.688695]
std: [1.405699, 1.219978, 1.046394, 1.482175, 1.492128, 2.061923, 1.260384, 1.404662]
pca: [[-0.231896, 0.297525, 0.545646, -0.423547, 0.558013, -0.018348, 0.167342, 0.202142, 0.000000, 0.000000], [0.275219, -0.300665, -0.271620, -0.430909, 0.008171, 0.072749, 0.752655, -0.050459, 0.000000, 0.000000], [-0.095740, 0.153603, -0.442188, 0.458121, 0.568585, -0.427795, 0.235219, 0.014457, 0.000000, 0.000000], [0.501217, -0.088595, 0.379245, 0.008969, 0.130444, -0.418321, -0.079981, -0.631364, 0.000000, 0.000000], [0.482375, -0.206723, -0.282285, -0.238061, 0.469974, 0.210398, -0.505095, 0.260688, 0.000000, 0.000000], [0.195226, 0.803826, -0.348166, -0.348399, -0.195801, -0.075582, -0.076193, -0.152620, 0.000000, 0.000000], [0.440724, 0.084102, 0.222224, 0.137890, -0.271312, -0.421539, 0.120955, 0.681437, 0.000000, 0.000000], [0.380864, 0.306092, 0.197100, 0.477390, 0.124200, 0.639292, 0.261199, -0.046425, 0.000000, 0.000000]]
fourier: [[23.913228, 25.366597, 26.546295, 30.330301, 94.061709], [17.665072, 18.591422, 22.402567, 24.458595, 148.487863], [17.530633, 17.572799, 17.689135, 17.847899, 104.274064], [23.368676, 24.966497, 24.995994, 29.238150, 201.907046], [24.672211, 24.748836, 25.569664, 29.294912, 227.768845], [31.223602, 31.881740, 32.223307, 37.729589, 61.003904], [18.654528, 18.677479, 21.513538, 21.578682, 158.351228], [22.171327, 23.664366, 23.817578, 24.634061, 61.982569]]
### 2
mean: [0.849565, 0.420687, 0.680261, 0.301924, -0.686596, 0.918784, -1.136487, 0.529963]
std: [0.988578, 0.885233, 0.816960, 0.970048, 0.539499, 0.372462, 0.772410, 0.689940]
pca: [[0.291453, 0.613293, 0.198942, -0.247420, 0.139092, 0.306611, 0.452900, -0.345914, 0.000000, 0.000000], [-0.375296, 0.440950, 0.350361, -0.246810, -0.181764, -0.138912, 0.005607, 0.654738, 0.000000, 0.000000], [-0.124719, -0.543770, 0.363565, -0.085147, -0.259341, 0.558894, 0.396648, 0.111264, 0.000000, 0.000000], [0.605499, 0.052699, -0.115136, -0.168571, -0.118446, 0.448147, -0.482388, 0.375976, 0.000000, 0.000000], [-0.154391, 0.308948, -0.208419, 0.803966, -0.068169, 0.376343, 0.113838, 0.177972, 0.000000, 0.000000], [-0.054186, -0.042352, 0.640802, 0.230475, 0.604508, 0.128578, -0.382020, -0.060189, 0.000000, 0.000000], [-0.452433, -0.012875, -0.483177, -0.361467, 0.522585, 0.384373, -0.022160, 0.098449, 0.000000, 0.000000], [0.400695, -0.183203, -0.068620, 0.109831, 0.472394, -0.259972, 0.495412, 0.502926, 0.000000, 0.000000]]
fourier: [[15.911491, 16.156394, 16.385076, 21.127427, 76.460891], [15.721149, 16.096269, 18.130368, 18.746109, 37.861865], [11.026985, 11.322349, 16.684078, 17.829159, 61.223492], [16.830181, 16.900798, 17.242627, 18.428279, 27.173194], [8.860613, 8.876812, 10.819102, 10.934957, 61.793596], [6.132699, 6.266073, 6.276644, 6.363705, 82.690559], [11.680621, 12.886021, 13.035543, 14.490298, 102.283806], [11.860015, 11.873086, 14.124825, 14.254222, 47.696712]]
### 4
mean: [-0.276217, 0.960392, -1.051349, 0.044838, -0.412188, 0.022449, 0.068692, 0.450264]
std: [0.550550, 1.012179, 0.365273, 0.780908, 0.254157, 0.258863, 0.859971, 0.956382]
pca: [[-0.300999, 0.240610, 0.268796, -0.192845, 0.213152, -0.374507, 0.511887, 0.542539, 0.000000, 0.000000], [0.543246, -0.474427, -0.370767, -0.200703, 0.235818, -0.139036, 0.476360, -0.013922, 0.000000, 0.000000], [0.098847, -0.186426, 0.764141, -0.323070, 0.058817, -0.029685, 0.107812, -0.501223, 0.000000, 0.000000], [-0.497228, 0.087650, -0.242906, 0.090944, 0.112468, 0.397501, 0.550741, -0.451483, 0.000000, 0.000000], [0.129846, -0.118172, 0.211648, -0.146131, 0.164271, 0.815653, 0.007553, 0.459014, 0.000000, 0.000000], [0.139940, 0.099115, 0.149677, 0.574823, 0.773252, -0.053632, -0.102968, -0.079819, 0.000000, 0.000000], [0.479025, 0.369097, 0.203007, 0.455239, -0.449044, 0.089537, 0.419714, 0.005533, 0.000000, 0.000000], [0.302273, 0.717334, -0.197374, -0.500865, 0.237283, 0.073088, -0.096409, -0.182484, 0.000000, 0.000000]]
fourier: [[8.840481, 10.083588, 11.025326, 11.284960, 24.859574], [15.308030, 18.893915, 20.455971, 20.906827, 86.435298], [5.807135, 5.856077, 7.380956, 7.572627, 94.621434], [11.784165, 13.378055, 13.524055, 13.649738, 13.848569], [4.348058, 4.481840, 4.497055, 5.450324, 37.096946], [3.597660, 3.706830, 3.857489, 4.214215, 5.406272], [11.638708, 11.854474, 14.172100, 14.959014, 19.199397], [13.921204, 14.791636, 18.232510, 21.476474, 40.523787]]
### 6
mean: [-0.454139, 0.253022, -0.022365, 0.641839, 0.457516, -0.349114, 0.518241, 0.278985]
std: [0.192624, 0.609380, 0.281727, 0.568793, 1.023586, 0.334636, 0.514686, 0.786862]
pca: [[-0.026426, -0.173312, -0.295091, 0.559916, 0.210664, -0.064062, 0.139594, 0.707609, 0.000000, 0.000000], [0.444680, 0.173223, 0.147714, -0.181140, 0.201235, 0.725624, -0.227239, 0.314578, 0.000000, 0.000000], [-0.024175, -0.262711, -0.000506, 0.424173, 0.473212, 0.377970, 0.264757, -0.559990, 0.000000, 0.000000], [-0.417926, -0.113759, 0.785662, -0.115342, 0.318880, -0.071387, 0.103610, 0.253601, 0.000000, 0.000000], [-0.356859, 0.856626, -0.099557, 0.118635, 0.063687, 0.142485, 0.300802, -0.004310, 0.000000, 0.000000], [0.215665, -0.169742, 0.053596, -0.232410, -0.330197, 0.146880, 0.850652, 0.116520, 0.000000, 0.000000], [0.358864, 0.188819, 0.509026, 0.614015, -0.427701, -0.079451, -0.058659, -0.082220, 0.000000, 0.000000], [0.568922, 0.244390, 0.044109, -0.123908, 0.541754, -0.522705, 0.174678, -0.045525, 0.000000, 0.000000]]
fourier: [[2.966921, 3.009956, 3.147623, 3.662633, 40.872542], [10.114394, 11.458913, 13.295915, 13.765529, 22.772020], [3.817514, 3.960930, 4.488445, 4.884963, 4.937546], [9.349966, 9.584212, 12.094209, 12.345352, 57.765534], [14.666925, 15.299735, 18.054313, 21.820026, 41.176424], [4.751305, 5.040160, 5.850031, 7.724479, 31.420220], [8.379929, 10.626104, 11.063655, 11.748151, 46.641705], [12.765401, 15.180166, 17.384326, 17.647796, 25.108650]]
### 8
mean: [-0.197484]
std: [0.919691]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.450569, 17.188599, 17.773519, 18.956680, 19.145662]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.178133, 0.22342, 0.076295, -0.225717, 0.623912], [-0.08388, -0.037091, -0.521248, -0.102355, -0.147682], [-0.147121, 0.342126, 0.250334, 0.141084, -0.315965], [0.022781, -0.30082, -0.077605, -0.53334, -0.154121], [-0.112429, 0.042163, -0.432298, -0.349655, -0.362671], [0.75044, 0.504617, -0.099514, -0.247815, -0.403305], [0.188607, -0.263934, 0.02689, -0.388085, -0.311722], [0.181204, -0.085519, 0.32648, -0.419534, -0.41144]], "network.0.bias": [-0.028494, 0.012573, 0.282477, -0.227691, -0.367551, 0.061125, -0.352706, -0.033231], "network.2.weight": [[-0.436834, 0.081573, 0.356847, -0.370172, 0.158903, 0.431235, 0.179584, 0.307626], [-0.333387, 0.122709, 0.60153, -0.165868, 0.062703, -0.239916, 0.249211, 0.067769], [0.583422, 0.22329, -0.053883, 0.120066, -0.06716, -0.334261, -0.027785, -0.219744], [0.012481, 0.105848, -0.262811, -0.09969, 0.240328, 0.561127, 0.179092, 0.256898], [-0.389005, -0.018838, 0.101241, 0.0938, -0.328065, 0.032209, -0.266348, -0.273983], [0.217482, -0.16064, 0.351027, 0.138209, 0.303624, -0.109357, -0.504948, -0.260364], [-0.192973, 0.114263, -0.102804, 0.202218, -0.202972, -0.38185, 0.012255, 0.1641], [0.196568, -0.31337, -0.303051, -0.206088, -0.195901, 0.313683, -0.298061, 0.013578]], "network.2.bias": [0.387062, 0.310318, 0.482647, -0.049858, -0.332849, 0.423201, -0.423428, 0.338386], "network.4.weight": [[-0.048055, -0.335336, -0.212416, 0.299709, 0.258073, -0.230036, 0.262154, 0.197623], [0.25723, 0.376261, 0.384814, -0.641627, -0.394303, 0.405697, 0.280945, -0.535954], [-0.216906, -0.072041, -0.299267, -0.063012, 0.314682, -0.210014, -0.207952, -0.339552], [0.24453, -0.093633, -0.172569, 0.521202, -0.094642, -0.186643, -0.493602, 0.159373], [-0.065521, 0.024616, 0.043103, 0.019704, -0.159109, -0.032836, 0.137826, -0.380282], [-0.056575, 0.117825, 0.267777, -0.165178, 0.009082, -0.294111, -0.171833, 0.117065], [-0.585692, 0.017447, 0.325706, -0.363285, -0.152123, 0.133226, -0.078943, 0.321953], [-0.329845, -0.585314, 0.589239, -0.065068, -0.164875, 0.373859, 0.237759, 0.168219]], "network.4.bias": [0.093336, 0.430043, -0.161796, -0.16384, -0.155583, 0.086201, 0.237155, 0.285427], "network.6.weight": [[-0.012555, -0.201446, -0.299656, 0.05804, 0.077292, -0.335425, 0.009384, -0.088037], [-0.336696, 0.387705, -0.209343, -0.3459, -0.031864, -0.110931, -0.084257, -0.347885], [0.116738, -0.156298, -0.149804, 0.146056, 0.18118, -0.480642, 0.010113, -0.109864], [0.600412, -0.052777, -0.007089, 0.430241, 0.182143, -0.02, -0.004813, 0.532094], [-0.048853, 0.195328, 0.114005, -0.283047, 0.320664, 0.433649, 0.677136, 0.653402], [-0.140385, 0.060689, -0.115685, 0.006167, -0.219821, 0.004596, -0.235896, -0.263035], [-0.360886, 0.472317, 0.316383, -0.154336, 0.129589, -0.141884, -0.517512, 0.085716], [-0.31451, 0.460264, 0.248728, -0.567353, 0.091124, 0.047356, -0.320809, -0.346675]], "network.6.bias": [-0.155652, 0.211637, 0.212586, 0.185047, -0.368613, -0.155571, 0.23342, 0.285896], "network.8.weight": [[0.128988, 0.303104, -0.235086, -0.269759, -0.547867, 0.33045, 0.371812, 0.301506]], "network.8.bias": [-0.159125]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6916483938694, "train_acc": 0.505, "val_loss": 0.6922340393066406, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.68654865026474, "train_acc": 0.555, "val_loss": 0.6726594567298889, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6670180261135101, "train_acc": 0.555, "val_loss": 0.6105159521102905, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5847036838531494, "train_acc": 0.65, "val_loss": 0.41018563508987427, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4659009277820587, "train_acc": 0.835, "val_loss": 0.6157564520835876, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.48742184042930603, "train_acc": 0.705, "val_loss": 0.3617648184299469, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4349738657474518, "train_acc": 0.815, "val_loss": 0.3586423993110657, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.42816151678562164, "train_acc": 0.82, "val_loss": 0.35232776403427124, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4032399505376816, "train_acc": 0.825, "val_loss": 0.35565054416656494, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.39300818741321564, "train_acc": 0.825, "val_loss": 0.37469276785850525, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.39018845558166504, "train_acc": 0.845, "val_loss": 0.3530653417110443, "val_acc": 0.84}], "summary": {"total_epochs": 11, "degraded_epochs": 3, "improved_epochs": 8, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6922340393066406, "final_val_loss": 0.6105159521102905, "initial_val_acc": 0.54, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.41018563508987427, "final_val_loss": 0.3530653417110443, "initial_val_acc": 0.84, "final_val_acc": 0.84, "best_val_acc": 0.84, "best_epoch": 3}, "improvement": 0.2799999999999999, "first_improvement_epoch": 2}}
|
9,704
|
{"target_pattern": "alternating", "degraded_accuracy": 0.72, "improved_accuracy": 0.92, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6302, "learning_rate": 0.09550278645406654, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [-2.735724, -1.742247, 2.615408, -5.298654, -2.861848]
std: [3.432725, 3.156522, 2.224861, 3.567588, 3.156325]
pca: [[0.609415, -0.016811, -0.042664, -0.310226, 0.728197, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.547993, -0.139564, 0.030830, 0.816512, -0.112171, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.005310, -0.443713, 0.889897, -0.105700, 0.001308, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.131360, 0.883253, 0.445953, 0.039577, -0.046555, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.557703, -0.056761, -0.080239, -0.473633, -0.674521, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.648483, 53.081653, 55.541483, 59.711571, 246.215149], [50.371654, 50.554091, 55.752069, 56.663608, 156.802195], [36.750151, 36.765525, 39.596806, 42.588992, 235.386713], [60.861281, 61.341558, 67.365955, 74.019497, 476.878850], [47.254121, 48.789039, 49.281922, 53.594575, 257.566347]]
### 2
mean: [-1.079444, 0.809767, -1.891121, 1.456387, -2.404030]
std: [1.443615, 1.687511, 1.741489, 1.720719, 2.165563]
pca: [[0.252396, -0.516349, -0.242369, 0.769910, 0.134818, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.128335, 0.706569, 0.242370, 0.524262, 0.388196, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.511358, 0.256007, -0.622514, -0.272394, 0.459620, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.458092, -0.388973, 0.117708, -0.207234, 0.762923, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.669694, -0.131544, 0.693639, -0.123464, 0.194491, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.882656, 20.182814, 24.613196, 29.480894, 97.150002], [25.025415, 25.735748, 27.585097, 33.228562, 72.879017], [24.714133, 26.840104, 31.082490, 33.907366, 170.200873], [24.059885, 25.726450, 30.509826, 31.264434, 131.074812], [36.427882, 37.065595, 37.269161, 41.947777, 216.362695]]
### 4
mean: [0.276738, 1.586522, 1.170370, 0.354522, 0.399649]
std: [0.948600, 1.429946, 1.228408, 1.324697, 0.804644]
pca: [[-0.386321, 0.290205, -0.174725, -0.092128, 0.852948, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.539218, 0.569147, -0.092302, -0.612865, -0.034525, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.515314, 0.313616, 0.317347, 0.681890, 0.265355, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.430242, 0.672646, -0.262414, 0.310654, -0.443928, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.330672, 0.202594, 0.889596, -0.233300, -0.061666, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.946592, 15.006763, 15.228958, 15.827887, 24.906405], [22.405806, 24.316529, 24.951790, 26.754666, 142.787028], [17.627453, 18.748585, 21.024537, 23.453405, 105.333326], [21.288743, 21.408221, 21.465382, 21.864578, 31.906940], [12.171971, 13.011763, 13.330504, 13.598644, 35.968364]]
### 6
mean: [0.590859, 0.555404, 1.733316, 0.850616, 1.493275]
std: [1.819544, 2.586220, 3.060859, 3.159847, 2.625225]
pca: [[0.309541, 0.196700, 0.802364, 0.057493, -0.467332, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.438140, 0.317222, 0.263714, 0.701191, 0.382347, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.510037, 0.490586, 0.077604, -0.282912, 0.642748, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.508967, 0.680349, -0.108821, -0.426713, -0.290090, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.439355, 0.396397, -0.518461, 0.492851, -0.371663, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.551544, 27.997532, 28.213335, 33.148234, 53.177307], [39.159198, 39.515000, 41.997864, 42.209286, 49.986374], [43.898894, 46.298488, 46.924002, 57.421249, 155.998457], [47.786325, 49.574311, 50.040778, 53.561556, 76.555457], [37.462150, 39.893047, 39.975680, 48.674674, 134.394715]]
### 8
mean: [-1.653688]
std: [6.458247]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[94.402838, 97.645548, 100.950716, 111.179810, 148.831875]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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],
"network.6.bias": [
-0.023822,
0.47872,
0.046481,
0.075864,
-0.00801
],
"network.8.weight": [
[
-0.641462,
0.727796,
-0.664754,
0.624218,
-0.828457
]
],
"network.8.bias": [
0.341075
]
}
## Activation Signature
### 0
mean: [-2.735724, -1.742247, 2.615408, -5.298654, -2.861848]
std: [3.432725, 3.156522, 2.224861, 3.567588, 3.156325]
pca: [[0.609415, -0.016811, -0.042664, -0.310226, 0.728197, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.547993, -0.139564, 0.030830, 0.816512, -0.112171, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.005310, -0.443713, 0.889897, -0.105700, 0.001308, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.131360, 0.883253, 0.445953, 0.039577, -0.046555, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.557703, -0.056761, -0.080239, -0.473633, -0.674521, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.648483, 53.081653, 55.541483, 59.711571, 246.215149], [50.371654, 50.554091, 55.752069, 56.663608, 156.802195], [36.750151, 36.765525, 39.596806, 42.588992, 235.386713], [60.861281, 61.341558, 67.365955, 74.019497, 476.878850], [47.254121, 48.789039, 49.281922, 53.594575, 257.566347]]
### 2
mean: [-1.079444, 0.809767, -1.891121, 1.456387, -2.404030]
std: [1.443615, 1.687511, 1.741489, 1.720719, 2.165563]
pca: [[0.252396, -0.516349, -0.242369, 0.769910, 0.134818, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.128335, 0.706569, 0.242370, 0.524262, 0.388196, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.511358, 0.256007, -0.622514, -0.272394, 0.459620, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.458092, -0.388973, 0.117708, -0.207234, 0.762923, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.669694, -0.131544, 0.693639, -0.123464, 0.194491, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.882656, 20.182814, 24.613196, 29.480894, 97.150002], [25.025415, 25.735748, 27.585097, 33.228562, 72.879017], [24.714133, 26.840104, 31.082490, 33.907366, 170.200873], [24.059885, 25.726450, 30.509826, 31.264434, 131.074812], [36.427882, 37.065595, 37.269161, 41.947777, 216.362695]]
### 4
mean: [0.276738, 1.586522, 1.170370, 0.354522, 0.399649]
std: [0.948600, 1.429946, 1.228408, 1.324697, 0.804644]
pca: [[-0.386321, 0.290205, -0.174725, -0.092128, 0.852948, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.539218, 0.569147, -0.092302, -0.612865, -0.034525, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.515314, 0.313616, 0.317347, 0.681890, 0.265355, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.430242, 0.672646, -0.262414, 0.310654, -0.443928, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.330672, 0.202594, 0.889596, -0.233300, -0.061666, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.946592, 15.006763, 15.228958, 15.827887, 24.906405], [22.405806, 24.316529, 24.951790, 26.754666, 142.787028], [17.627453, 18.748585, 21.024537, 23.453405, 105.333326], [21.288743, 21.408221, 21.465382, 21.864578, 31.906940], [12.171971, 13.011763, 13.330504, 13.598644, 35.968364]]
### 6
mean: [0.590859, 0.555404, 1.733316, 0.850616, 1.493275]
std: [1.819544, 2.586220, 3.060859, 3.159847, 2.625225]
pca: [[0.309541, 0.196700, 0.802364, 0.057493, -0.467332, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.438140, 0.317222, 0.263714, 0.701191, 0.382347, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.510037, 0.490586, 0.077604, -0.282912, 0.642748, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.508967, 0.680349, -0.108821, -0.426713, -0.290090, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.439355, 0.396397, -0.518461, 0.492851, -0.371663, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.551544, 27.997532, 28.213335, 33.148234, 53.177307], [39.159198, 39.515000, 41.997864, 42.209286, 49.986374], [43.898894, 46.298488, 46.924002, 57.421249, 155.998457], [47.786325, 49.574311, 50.040778, 53.561556, 76.555457], [37.462150, 39.893047, 39.975680, 48.674674, 134.394715]]
### 8
mean: [-1.653688]
std: [6.458247]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[94.402838, 97.645548, 100.950716, 111.179810, 148.831875]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.552806, -1.024262, 0.037654, -1.088256, 0.258947], [0.685317, -1.143319, 0.314181, -0.769138, 0.158241], [-0.195155, -0.398282, 0.687923, 0.343518, 0.753383], [-0.665635, -0.499494, -0.651209, -0.31289, -0.956509], [0.506635, -0.862105, 0.066599, -1.043702, 0.307071]], "network.0.bias": [0.378454, 0.286218, 0.481205, -0.349145, -0.201058], "network.2.weight": [[-0.111531, -0.529656, -0.304798, -0.301027, -0.412361], [0.677964, 0.556421, 0.114253, -0.321769, 0.388878], [0.731746, 0.237462, -0.782039, 0.02704, -0.029991], [-0.614756, -0.294882, 0.719235, 0.568604, -0.378786], [0.162193, -0.329463, -0.986004, 0.508711, 0.471958]], "network.2.bias": [0.020672, 0.032971, -0.152267, -0.046339, 0.177808], "network.4.weight": [[0.216893, 0.395242, -0.273803, -0.359128, -0.647285], [-0.059332, 0.19013, 0.297478, 0.904519, 0.804787], [-0.271067, 0.013009, 0.203735, 0.78072, 0.133346], [-0.068092, 0.711676, -0.337151, -0.255591, -0.936468], [-0.037559, 0.309775, -0.944585, -0.315603, -0.683454]], "network.4.bias": [0.533749, 0.095198, -0.04887, 0.188295, 0.616084], "network.6.weight": [[-0.239801, 0.24843, 0.641746, -0.151551, -0.889006], [0.740669, -0.122001, -0.52849, 0.885282, 0.663659], [-0.270231, 0.863948, 0.844814, -0.641936, -0.613773], [1.006115, -0.200686, -0.110511, 1.200806, 1.008871], [-0.522376, 0.862675, 0.58263, -0.635266, -0.114161]], "network.6.bias": [-0.023822, 0.47872, 0.046481, 0.075864, -0.00801], "network.8.weight": [[-0.641462, 0.727796, -0.664754, 0.624218, -0.828457]], "network.8.bias": [0.341075]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6740086674690247, "train_acc": 0.485, "val_loss": 0.6409344673156738, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6294015347957611, "train_acc": 0.555, "val_loss": 0.6186826825141907, "val_acc": 0.68}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.604040265083313, "train_acc": 0.66, "val_loss": 0.5452039241790771, "val_acc": 0.72}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.4615544229745865, "train_acc": 0.775, "val_loss": 0.37643545866012573, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.287171445786953, "train_acc": 0.845, "val_loss": 0.4059036672115326, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.2175457403063774, "train_acc": 0.895, "val_loss": 0.5982677936553955, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.20485129207372665, "train_acc": 0.915, "val_loss": 0.7965851426124573, "val_acc": 0.9}], "summary": {"total_epochs": 7, "degraded_epochs": 3, "improved_epochs": 4, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6409344673156738, "final_val_loss": 0.5452039241790771, "initial_val_acc": 0.6, "final_val_acc": 0.72, "best_val_acc": 0.72}, "improved_stage": {"initial_val_loss": 0.37643545866012573, "final_val_loss": 0.7965851426124573, "initial_val_acc": 0.78, "final_val_acc": 0.9, "best_val_acc": 0.92, "best_epoch": 5}, "improvement": 0.20000000000000007, "first_improvement_epoch": 2}}
|
9,705
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.48, "improved_accuracy": 0.94, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5004, "learning_rate": 0.03239562786261831, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.312714,
0.197275,
-0.123004,
0.555676,
0.037994
],
[
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0.195675,
0.006963
],
[
0.665397,
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0.463906,
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],
[
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0.42783,
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}
## Activation Signature
### 0
mean: [1.559040, 3.477626, 0.276759, 1.400932, -4.197752]
std: [1.483577, 2.994963, 1.844835, 2.576041, 2.746824]
pca: [[0.233523, -0.279618, -0.239411, 0.822264, -0.365847, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.719970, 0.029296, -0.174684, 0.052278, 0.668983, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.196480, 0.369555, 0.854602, 0.306060, -0.028403, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.484360, 0.521274, -0.250859, -0.294332, -0.586607, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.392303, 0.716001, -0.344807, 0.375293, 0.271484, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.506839, 23.322015, 25.299607, 31.584471, 140.313591], [45.914384, 49.924147, 52.885976, 56.671713, 312.986333], [29.098255, 30.025252, 33.819998, 35.725315, 39.775053], [39.426333, 39.770718, 43.044981, 53.146409, 126.083878], [45.368540, 46.053964, 47.062410, 48.039425, 377.797720]]
### 2
mean: [-1.236014, -0.919490, 3.816538, 1.258656, 0.753694]
std: [0.854950, 0.840655, 3.363945, 1.154756, 1.501940]
pca: [[-0.096678, 0.592551, 0.630370, -0.430988, 0.237527, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.213407, 0.031960, 0.238191, 0.755111, 0.571409, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.876742, -0.104318, 0.410446, 0.202288, -0.105139, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.287430, -0.262093, -0.280808, -0.407210, 0.777186, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.306297, 0.753848, -0.546424, 0.193175, 0.044728, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.368068, 12.745729, 16.062440, 17.068882, 111.241277], [12.925432, 15.762592, 15.950221, 17.273500, 82.754115], [54.866305, 55.723596, 62.001452, 62.792241, 343.488390], [18.280358, 20.086330, 21.431464, 22.273751, 113.279062], [22.584037, 27.628523, 30.697223, 32.173901, 67.832426]]
### 4
mean: [0.200732, 0.518260, 1.925197, 3.152754, -0.288270]
std: [0.325475, 0.146677, 2.140026, 2.963595, 0.564144]
pca: [[-0.073617, -0.278370, 0.469683, 0.250721, 0.796007, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.015853, -0.198349, -0.365820, 0.899053, -0.135223, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.582095, 0.307857, 0.635273, 0.271207, -0.298772, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.808136, -0.294113, -0.389354, -0.197864, 0.263945, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.049098, 0.837789, -0.300674, 0.127039, 0.434920, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.790031, 5.141092, 5.848244, 7.056709, 18.065892], [2.341671, 2.463569, 2.477828, 2.482961, 46.643424], [35.405819, 36.175289, 38.601168, 39.362647, 173.267752], [52.967918, 53.226460, 55.464407, 56.496758, 283.747840], [8.464914, 8.881169, 8.941516, 13.002084, 25.944291]]
### 6
mean: [2.217021, -0.360417, 3.246718, 1.431534, -1.054717]
std: [2.871086, 0.553283, 3.163187, 2.367182, 0.823698]
pca: [[0.576787, -0.425362, 0.083275, -0.398074, -0.566557, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.110706, -0.093448, -0.478638, 0.651413, -0.570594, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.634747, 0.645933, 0.245717, 0.342915, -0.043571, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.474927, -0.498901, -0.268166, 0.327580, 0.588489, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.163099, -0.379740, 0.794784, 0.438517, -0.072232, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.777627, 49.110861, 50.000223, 50.571443, 199.531849], [9.856500, 10.005597, 10.299786, 10.350726, 32.437557], [55.770106, 56.253751, 57.206365, 58.303047, 292.204580], [39.827216, 39.957645, 40.679675, 41.526186, 128.838068], [14.017733, 14.720112, 14.778495, 15.329948, 94.924550]]
### 8
mean: [2.516799, 0.076735, 4.009197, 0.137262, 0.174465]
std: [3.344362, 0.706275, 5.254663, 0.985524, 1.019242]
pca: [[0.521233, 0.310884, 0.228740, 0.193000, 0.736272, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.107916, 0.306092, 0.827465, -0.411232, -0.202121, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.819695, 0.073874, -0.130995, -0.164332, -0.527710, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.146517, 0.648854, -0.012164, 0.664346, -0.340615, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.152654, 0.619024, -0.495654, -0.570333, 0.150181, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[57.114921, 58.563959, 59.318806, 59.766205, 226.511901], [10.732454, 11.326611, 11.983420, 12.059591, 12.202919], [88.664697, 89.109421, 90.971418, 93.512627, 360.827710], [13.973643, 15.368208, 16.170921, 16.944814, 17.514271], [15.701884, 15.821020, 17.014586, 17.550156, 18.014074]]
### 10
mean: [-2.892554]
std: [5.174666]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[86.200804, 86.509288, 87.070751, 92.495477, 260.329853]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
[
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[
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[
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[
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[
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"network.2.bias": [
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[
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],
[
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[
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0.556585
],
[
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]
],
"network.4.bias": [
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0.361224,
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0.112017,
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],
"network.6.weight": [
[
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0.454015,
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],
[
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0.055053,
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],
[
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[
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[
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]
],
"network.6.bias": [
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"network.8.weight": [
[
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0.053991,
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],
[
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0.108095,
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],
[
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0.707049,
0.756729,
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],
[
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0.400934,
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],
[
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]
],
"network.8.bias": [
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],
"network.10.weight": [
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0.818642,
0.608382
]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [1.559040, 3.477626, 0.276759, 1.400932, -4.197752]
std: [1.483577, 2.994963, 1.844835, 2.576041, 2.746824]
pca: [[0.233523, -0.279618, -0.239411, 0.822264, -0.365847, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.719970, 0.029296, -0.174684, 0.052278, 0.668983, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.196480, 0.369555, 0.854602, 0.306060, -0.028403, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.484360, 0.521274, -0.250859, -0.294332, -0.586607, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.392303, 0.716001, -0.344807, 0.375293, 0.271484, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.506839, 23.322015, 25.299607, 31.584471, 140.313591], [45.914384, 49.924147, 52.885976, 56.671713, 312.986333], [29.098255, 30.025252, 33.819998, 35.725315, 39.775053], [39.426333, 39.770718, 43.044981, 53.146409, 126.083878], [45.368540, 46.053964, 47.062410, 48.039425, 377.797720]]
### 2
mean: [-1.236014, -0.919490, 3.816538, 1.258656, 0.753694]
std: [0.854950, 0.840655, 3.363945, 1.154756, 1.501940]
pca: [[-0.096678, 0.592551, 0.630370, -0.430988, 0.237527, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.213407, 0.031960, 0.238191, 0.755111, 0.571409, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.876742, -0.104318, 0.410446, 0.202288, -0.105139, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.287430, -0.262093, -0.280808, -0.407210, 0.777186, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.306297, 0.753848, -0.546424, 0.193175, 0.044728, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.368068, 12.745729, 16.062440, 17.068882, 111.241277], [12.925432, 15.762592, 15.950221, 17.273500, 82.754115], [54.866305, 55.723596, 62.001452, 62.792241, 343.488390], [18.280358, 20.086330, 21.431464, 22.273751, 113.279062], [22.584037, 27.628523, 30.697223, 32.173901, 67.832426]]
### 4
mean: [0.200732, 0.518260, 1.925197, 3.152754, -0.288270]
std: [0.325475, 0.146677, 2.140026, 2.963595, 0.564144]
pca: [[-0.073617, -0.278370, 0.469683, 0.250721, 0.796007, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.015853, -0.198349, -0.365820, 0.899053, -0.135223, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.582095, 0.307857, 0.635273, 0.271207, -0.298772, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.808136, -0.294113, -0.389354, -0.197864, 0.263945, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.049098, 0.837789, -0.300674, 0.127039, 0.434920, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.790031, 5.141092, 5.848244, 7.056709, 18.065892], [2.341671, 2.463569, 2.477828, 2.482961, 46.643424], [35.405819, 36.175289, 38.601168, 39.362647, 173.267752], [52.967918, 53.226460, 55.464407, 56.496758, 283.747840], [8.464914, 8.881169, 8.941516, 13.002084, 25.944291]]
### 6
mean: [2.217021, -0.360417, 3.246718, 1.431534, -1.054717]
std: [2.871086, 0.553283, 3.163187, 2.367182, 0.823698]
pca: [[0.576787, -0.425362, 0.083275, -0.398074, -0.566557, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.110706, -0.093448, -0.478638, 0.651413, -0.570594, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.634747, 0.645933, 0.245717, 0.342915, -0.043571, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.474927, -0.498901, -0.268166, 0.327580, 0.588489, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.163099, -0.379740, 0.794784, 0.438517, -0.072232, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.777627, 49.110861, 50.000223, 50.571443, 199.531849], [9.856500, 10.005597, 10.299786, 10.350726, 32.437557], [55.770106, 56.253751, 57.206365, 58.303047, 292.204580], [39.827216, 39.957645, 40.679675, 41.526186, 128.838068], [14.017733, 14.720112, 14.778495, 15.329948, 94.924550]]
### 8
mean: [2.516799, 0.076735, 4.009197, 0.137262, 0.174465]
std: [3.344362, 0.706275, 5.254663, 0.985524, 1.019242]
pca: [[0.521233, 0.310884, 0.228740, 0.193000, 0.736272, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.107916, 0.306092, 0.827465, -0.411232, -0.202121, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.819695, 0.073874, -0.130995, -0.164332, -0.527710, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.146517, 0.648854, -0.012164, 0.664346, -0.340615, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.152654, 0.619024, -0.495654, -0.570333, 0.150181, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[57.114921, 58.563959, 59.318806, 59.766205, 226.511901], [10.732454, 11.326611, 11.983420, 12.059591, 12.202919], [88.664697, 89.109421, 90.971418, 93.512627, 360.827710], [13.973643, 15.368208, 16.170921, 16.944814, 17.514271], [15.701884, 15.821020, 17.014586, 17.550156, 18.014074]]
### 10
mean: [-2.892554]
std: [5.174666]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[86.200804, 86.509288, 87.070751, 92.495477, 260.329853]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": [13.973643152300015, 15.368207766225092, 16.17092123782965, 16.94481417795121, 17.514271109828115]}, "4": {"mean": 0.1744653731584549, "std": 1.0192420482635498, "pca": [-0.1526544839143753, 0.6190235614776611, -0.4956539571285248, -0.5703327059745789, 0.1501806080341339, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [15.70188370347023, 15.821019508743547, 17.014585568989983, 17.550156250806026, 18.01407374117039]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -2.8925540447235107, "std": 5.174665927886963, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [86.20080372426004, 86.5092877971849, 87.07075096330684, 92.49547698945517, 260.32985296845436]}}, "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": [[0.312714, 0.197275, -0.123004, 0.555676, 0.037994], [0.914794, 0.700176, 0.373879, 0.195675, 0.006963], [0.665397, -0.582663, 0.463906, -0.118906, -0.021478], [0.858925, 0.42783, 0.377093, -0.3884, -0.44629], [0.142232, -0.546228, -0.367716, -0.67087, -0.783157]], "network.0.bias": [-0.171128, -0.145855, -0.177122, 0.148068, -0.206749], "network.2.weight": [[-0.203153, -0.396813, -0.027918, 0.507962, 0.107594], [-0.403962, 0.06595, -0.279162, -0.188722, -0.39979], [0.481468, 0.610993, 0.475414, 0.340999, 0.164109], [0.421183, 0.173296, 0.22855, -0.000464, -0.473822], [0.002008, -0.055673, 0.881155, 0.251688, 0.270404]], "network.2.bias": [-0.375861, -0.012742, 0.049377, -0.17068, -0.113415], "network.4.weight": [[-0.134373, 0.046484, 0.003702, -0.328081, 0.068188], [-0.746659, -0.685433, -0.020583, -0.004233, 0.126521], [0.300775, 0.4632, 0.533515, 0.236933, 0.056801], [0.141087, -0.222713, 0.60275, 0.254139, 0.556585], [0.293518, 0.107691, -0.00686, 0.588511, -0.384108]], "network.4.bias": [0.512355, 0.361224, -0.350745, 0.112017, -0.611928], "network.6.weight": [[-0.234462, -0.486673, 0.651045, 0.454015, 0.902604], [-0.022151, -0.058524, 0.055053, -0.213008, -0.251684], [-0.01065, -0.167419, 0.544899, 0.68146, -0.185129], [-0.332512, -0.143492, 0.790734, 0.183246, 0.691579], [-0.80784, 0.568041, -0.222175, -0.180124, 0.387612]], "network.6.bias": [-0.213953, 0.219634, 0.153738, -0.53704, -0.15223], "network.8.weight": [[0.446053, -0.358575, 0.608423, 0.053991, 0.321764], [0.07684, 0.092626, 0.108095, -0.560201, -0.242048], [0.465669, -0.570195, 0.707049, 0.756729, -0.115769], [-0.165896, 0.11584, 0.400934, -0.785858, -0.328042], [-0.34511, -0.253212, 0.391421, -0.580325, 0.009055]], "network.8.bias": [-0.508916, 0.416054, -0.548786, 0.441337, 0.61676], "network.10.weight": [[-0.397218, 0.480069, -0.653382, 0.818642, 0.608382]], "network.10.bias": [0.225744]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6897307932376862, "train_acc": 0.57, "val_loss": 0.6959859728813171, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6786395311355591, "train_acc": 0.57, "val_loss": 0.688465416431427, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6515235304832458, "train_acc": 0.57, "val_loss": 0.6655447483062744, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6116025745868683, "train_acc": 0.57, "val_loss": 0.6226926445960999, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6097678542137146, "train_acc": 0.505, "val_loss": 0.5857877135276794, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.576930582523346, "train_acc": 0.57, "val_loss": 0.5120980143547058, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5141668319702148, "train_acc": 0.77, "val_loss": 0.44906967878341675, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.45859140157699585, "train_acc": 0.77, "val_loss": 0.3820110261440277, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.387790322303772, "train_acc": 0.835, "val_loss": 0.32178768515586853, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.33546847105026245, "train_acc": 0.895, "val_loss": 0.26975587010383606, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.2891237884759903, "train_acc": 0.915, "val_loss": 0.2248624861240387, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.24828042834997177, "train_acc": 0.9, "val_loss": 0.19676178693771362, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.22936726361513138, "train_acc": 0.92, "val_loss": 0.20140941441059113, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.2245223969221115, "train_acc": 0.915, "val_loss": 0.17676471173763275, "val_acc": 0.92}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6959859728813171, "final_val_loss": 0.6226926445960999, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5857877135276794, "final_val_loss": 0.17676471173763275, "initial_val_acc": 0.48, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 10}, "improvement": 0.45999999999999996, "first_improvement_epoch": 3}}
|
9,706
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.5, "improved_accuracy": 0.92, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2510, "learning_rate": 0.040535144960742446, "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:
{
"network.0.weight": [
[
0.860663,
-0.058448,
0.414799,
0.409899,
0.795458
],
[
-0.108362,
0.233879,
-0.281083,
0.288131,
-0.541312
],
[
-0.481772,
0.422422,
0.663269,
-0.184646,
-0.578816
],
[
-0.080721,
-0.330255,
0.264158,
-0.353967,
-0.073469
],
[
0.652866,
-0.32887,
-0.064156,
0.487026,
0.370977
]
],
"network.0.bias": [
0.151708,
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"network.4.weight": [
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[
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],
[
0.710997,
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],
[
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]
],
"network.4.bias": [
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0.027135,
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],
"network.6.weight": [
[
0.695414,
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0.079113,
0.525719,
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],
[
0.062471,
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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": [
0.114719
]
}
## Activation Signature
### 0
mean: [3.842793, -0.543180, 0.791597, -0.267751, 1.928472]
std: [2.990463, 1.452990, 1.822724, 1.178145, 1.732537]
pca: [[0.807365, 0.338922, 0.220200, -0.107972, -0.416110, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.232821, -0.364913, 0.622476, 0.391784, -0.521211, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.277299, 0.760897, 0.479919, 0.169488, 0.291706, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.103618, 0.333230, -0.570547, 0.629829, -0.394984, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.454230, -0.248924, 0.090496, 0.639872, 0.560434, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[47.875443, 51.196172, 64.010286, 64.218910, 345.851305], [24.060288, 25.117167, 27.205357, 30.330730, 48.886164], [26.275993, 29.480794, 29.527100, 36.464140, 71.243690], [17.949330, 20.215944, 21.070588, 24.076216, 24.097626], [25.801440, 29.619878, 32.865985, 36.228693, 173.562491]]
### 2
mean: [-2.197825, 2.749832, 2.511445, 3.141232, 0.869257]
std: [2.265424, 2.909760, 2.387307, 1.902828, 0.773667]
pca: [[-0.499986, 0.079292, 0.139328, -0.654444, 0.544075, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.640949, -0.105490, 0.708309, -0.171621, 0.216563, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.523826, -0.126113, -0.677612, -0.167638, 0.471637, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.225018, 0.933512, -0.064569, -0.212812, -0.168711, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.119043, 0.308601, 0.124733, 0.684732, 0.637321, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.611946, 36.752096, 42.897883, 48.985246, 197.804215], [43.690023, 49.255039, 55.929560, 58.344033, 247.484887], [38.039136, 40.487886, 44.058560, 52.600172, 226.030019], [30.248351, 32.789417, 35.462231, 40.685807, 282.710852], [11.442472, 11.826171, 13.563609, 16.124525, 78.233101]]
### 4
mean: [-2.204653, 1.028019, 3.408054, 2.541734, 3.428005]
std: [1.735057, 2.627635, 3.111745, 2.755010, 2.708054]
pca: [[-0.304919, -0.177214, 0.127336, 0.395574, 0.838407, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.380334, 0.860862, 0.155691, 0.278574, -0.111444, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.555398, 0.069993, 0.821277, 0.100785, 0.044499, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.492230, 0.036819, -0.422756, 0.752844, -0.104196, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.460014, 0.470380, -0.326078, -0.434725, 0.521361, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.269770, 29.411148, 34.633990, 38.511738, 198.418775], [37.814284, 38.735525, 41.559829, 55.330386, 92.521731], [50.831163, 51.886788, 58.028048, 64.935149, 306.724826], [44.998002, 46.450881, 50.654344, 59.536987, 228.756049], [44.374388, 45.369607, 56.542342, 60.773491, 308.520490]]
### 6
mean: [3.381957, 4.976675, 1.935153, 1.252246, 2.913185]
std: [4.151400, 5.883010, 1.395507, 1.610117, 3.764007]
pca: [[0.497873, 0.217061, 0.734482, -0.044663, 0.404410, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.706938, 0.055916, -0.171077, -0.286209, -0.621232, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.103961, 0.965241, -0.236499, -0.010032, 0.038326, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.193223, 0.048577, 0.036451, 0.953101, -0.224891, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.451906, -0.125329, -0.611562, 0.087110, 0.631251, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[67.790560, 68.559364, 76.470203, 87.389330, 304.376112], [95.209986, 95.604660, 104.126344, 120.298322, 447.900746], [21.116754, 21.134695, 22.360165, 30.920685, 174.163728], [25.811231, 25.943037, 29.251579, 32.957379, 112.702118], [60.316837, 60.882406, 64.295647, 74.686645, 262.186685]]
### 8
mean: [-5.836820]
std: [7.417390]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[118.131786, 124.498760, 131.450560, 152.781316, 525.313762]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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:
{
"network.0.weight": [
[
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0.414799,
0.409899,
0.795458
],
[
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0.288131,
-0.541312
],
[
-0.481772,
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0.663269,
-0.184646,
-0.578816
],
[
-0.080721,
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0.264158,
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],
[
0.652866,
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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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0.389531,
0.04892,
0.653607
],
"network.4.weight": [
[
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-0.119095,
-0.007475
],
[
-0.637344,
-0.426209,
-0.514129,
0.775024,
0.725024
],
[
0.581807,
0.880857,
0.255087,
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-0.165406
],
[
0.710997,
0.366176,
0.666294,
0.012595,
-0.27854
],
[
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]
],
"network.4.bias": [
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0.54735,
0.537596,
0.027135,
-0.116496
],
"network.6.weight": [
[
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0.079113,
0.525719,
0.69382
],
[
0.062471,
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0.752523,
0.622069,
0.397171
],
[
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],
[
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],
[
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]
],
"network.6.bias": [
0.17825,
0.391654,
0.69596,
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0.114887
],
"network.8.weight": [
[
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-0.68592,
0.380198,
-0.39175,
-0.394053
]
],
"network.8.bias": [
0.114719
]
}
## Activation Signature
### 0
mean: [3.842793, -0.543180, 0.791597, -0.267751, 1.928472]
std: [2.990463, 1.452990, 1.822724, 1.178145, 1.732537]
pca: [[0.807365, 0.338922, 0.220200, -0.107972, -0.416110, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.232821, -0.364913, 0.622476, 0.391784, -0.521211, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.277299, 0.760897, 0.479919, 0.169488, 0.291706, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.103618, 0.333230, -0.570547, 0.629829, -0.394984, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.454230, -0.248924, 0.090496, 0.639872, 0.560434, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[47.875443, 51.196172, 64.010286, 64.218910, 345.851305], [24.060288, 25.117167, 27.205357, 30.330730, 48.886164], [26.275993, 29.480794, 29.527100, 36.464140, 71.243690], [17.949330, 20.215944, 21.070588, 24.076216, 24.097626], [25.801440, 29.619878, 32.865985, 36.228693, 173.562491]]
### 2
mean: [-2.197825, 2.749832, 2.511445, 3.141232, 0.869257]
std: [2.265424, 2.909760, 2.387307, 1.902828, 0.773667]
pca: [[-0.499986, 0.079292, 0.139328, -0.654444, 0.544075, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.640949, -0.105490, 0.708309, -0.171621, 0.216563, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.523826, -0.126113, -0.677612, -0.167638, 0.471637, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.225018, 0.933512, -0.064569, -0.212812, -0.168711, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.119043, 0.308601, 0.124733, 0.684732, 0.637321, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.611946, 36.752096, 42.897883, 48.985246, 197.804215], [43.690023, 49.255039, 55.929560, 58.344033, 247.484887], [38.039136, 40.487886, 44.058560, 52.600172, 226.030019], [30.248351, 32.789417, 35.462231, 40.685807, 282.710852], [11.442472, 11.826171, 13.563609, 16.124525, 78.233101]]
### 4
mean: [-2.204653, 1.028019, 3.408054, 2.541734, 3.428005]
std: [1.735057, 2.627635, 3.111745, 2.755010, 2.708054]
pca: [[-0.304919, -0.177214, 0.127336, 0.395574, 0.838407, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.380334, 0.860862, 0.155691, 0.278574, -0.111444, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.555398, 0.069993, 0.821277, 0.100785, 0.044499, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.492230, 0.036819, -0.422756, 0.752844, -0.104196, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.460014, 0.470380, -0.326078, -0.434725, 0.521361, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.269770, 29.411148, 34.633990, 38.511738, 198.418775], [37.814284, 38.735525, 41.559829, 55.330386, 92.521731], [50.831163, 51.886788, 58.028048, 64.935149, 306.724826], [44.998002, 46.450881, 50.654344, 59.536987, 228.756049], [44.374388, 45.369607, 56.542342, 60.773491, 308.520490]]
### 6
mean: [3.381957, 4.976675, 1.935153, 1.252246, 2.913185]
std: [4.151400, 5.883010, 1.395507, 1.610117, 3.764007]
pca: [[0.497873, 0.217061, 0.734482, -0.044663, 0.404410, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.706938, 0.055916, -0.171077, -0.286209, -0.621232, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.103961, 0.965241, -0.236499, -0.010032, 0.038326, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.193223, 0.048577, 0.036451, 0.953101, -0.224891, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.451906, -0.125329, -0.611562, 0.087110, 0.631251, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[67.790560, 68.559364, 76.470203, 87.389330, 304.376112], [95.209986, 95.604660, 104.126344, 120.298322, 447.900746], [21.116754, 21.134695, 22.360165, 30.920685, 174.163728], [25.811231, 25.943037, 29.251579, 32.957379, 112.702118], [60.316837, 60.882406, 64.295647, 74.686645, 262.186685]]
### 8
mean: [-5.836820]
std: [7.417390]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[118.131786, 124.498760, 131.450560, 152.781316, 525.313762]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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131.45056035020104, 152.78131645174776, 525.3137618005276]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.860663, -0.058448, 0.414799, 0.409899, 0.795458], [-0.108362, 0.233879, -0.281083, 0.288131, -0.541312], [-0.481772, 0.422422, 0.663269, -0.184646, -0.578816], [-0.080721, -0.330255, 0.264158, -0.353967, -0.073469], [0.652866, -0.32887, -0.064156, 0.487026, 0.370977]], "network.0.bias": [0.151708, -0.19762, 0.345731, 0.732377, 0.347367], "network.2.weight": [[-0.344896, -0.232088, 0.249212, 0.06669, -0.655994], [0.673861, 0.204845, -0.372818, -0.863675, 0.356859], [0.426886, -0.050716, -0.443086, 0.081434, 0.50615], [0.585522, 0.112719, 0.703953, 0.783261, -0.052499], [0.01552, 0.344274, 0.304185, 0.419094, -0.175901]], "network.2.bias": [0.121081, 0.069031, 0.389531, 0.04892, 0.653607], "network.4.weight": [[-0.064308, -0.255166, -0.377466, -0.119095, -0.007475], [-0.637344, -0.426209, -0.514129, 0.775024, 0.725024], [0.581807, 0.880857, 0.255087, -0.038962, -0.165406], [0.710997, 0.366176, 0.666294, 0.012595, -0.27854], [0.067122, 0.319996, 0.561358, 0.402446, -0.002719]], "network.4.bias": [-0.170245, 0.54735, 0.537596, 0.027135, -0.116496], "network.6.weight": [[0.695414, -0.460402, 0.079113, 0.525719, 0.69382], [0.062471, -0.573198, 0.752523, 0.622069, 0.397171], [-0.551961, 0.583815, -0.024571, -0.243013, 0.298341], [-0.478515, -0.227561, 0.291311, -0.157448, 0.322687], [0.276263, -0.370898, 0.818383, 0.220294, 0.02017]], "network.6.bias": [0.17825, 0.391654, 0.69596, -0.108201, 0.114887], "network.8.weight": [[-0.348272, -0.68592, 0.380198, -0.39175, -0.394053]], "network.8.bias": [0.114719]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6822317242622375, "train_acc": 0.57, "val_loss": 0.6923705339431763, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.665278822183609, "train_acc": 0.57, "val_loss": 0.6509974598884583, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6346490979194641, "train_acc": 0.5, "val_loss": 0.5254325866699219, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5196682810783386, "train_acc": 0.795, "val_loss": 0.37939250469207764, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3612577021121979, "train_acc": 0.88, "val_loss": 0.3467625677585602, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3163354843854904, "train_acc": 0.88, "val_loss": 0.3303607106208801, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.30285947024822235, "train_acc": 0.875, "val_loss": 0.4207685589790344, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2899874150753021, "train_acc": 0.895, "val_loss": 0.42790621519088745, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2763461172580719, "train_acc": 0.895, "val_loss": 0.35734331607818604, "val_acc": 0.9}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6923705339431763, "final_val_loss": 0.6509974598884583, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5254325866699219, "final_val_loss": 0.35734331607818604, "initial_val_acc": 0.76, "final_val_acc": 0.9, "best_val_acc": 0.92, "best_epoch": 6}, "improvement": 0.42000000000000004, "first_improvement_epoch": 1}}
|
9,707
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.62, "improved_accuracy": 0.88, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1721, "learning_rate": 0.05430913901587074, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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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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"network.4.weight": [
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"network.6.weight": [
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"network.10.weight": [
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}
## Activation Signature
### 0
mean: [-1.657822, 0.508269, 0.825769, 0.528793, -0.482472, -2.318071]
std: [0.957019, 1.962252, 1.433011, 0.940209, 1.888803, 1.595477]
pca: [[-0.125044, 0.442968, -0.152069, 0.455188, 0.405582, 0.627157, 0.000000, 0.000000, 0.000000, 0.000000], [0.646943, -0.202670, -0.079204, 0.527711, -0.473850, 0.176360, 0.000000, 0.000000, 0.000000, 0.000000], [0.351681, 0.047913, 0.801641, -0.293071, 0.132418, 0.357730, 0.000000, 0.000000, 0.000000, 0.000000], [-0.227182, -0.266723, -0.276926, -0.448106, -0.402622, 0.661555, 0.000000, 0.000000, 0.000000, 0.000000], [0.604961, -0.034604, -0.492384, -0.401308, 0.478834, 0.007275, 0.000000, 0.000000, 0.000000, 0.000000], [0.156716, 0.829500, -0.094033, -0.258044, -0.449498, -0.099462, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.112485, 15.345160, 16.993620, 17.995181, 149.203955], [29.097544, 30.253816, 31.957197, 40.553018, 45.744208], [21.696201, 22.816173, 27.579142, 31.154185, 74.319243], [15.994453, 17.400227, 17.701976, 22.635725, 47.591348], [28.550638, 28.991913, 31.231137, 35.924537, 43.422465], [26.447734, 30.588975, 30.808833, 31.035751, 208.626409]]
### 2
mean: [1.447612, -1.106752, 1.153109, 1.586062, -0.733418, 0.510999]
std: [1.909311, 0.777798, 0.736275, 1.671640, 0.696668, 0.738215]
pca: [[0.665869, 0.146523, -0.602314, -0.192546, 0.345930, 0.125002, 0.000000, 0.000000, 0.000000, 0.000000], [-0.264003, 0.329527, 0.012789, -0.249063, -0.061888, 0.869303, 0.000000, 0.000000, 0.000000, 0.000000], [0.249462, -0.243799, -0.109158, 0.808877, -0.255282, 0.383359, 0.000000, 0.000000, 0.000000, 0.000000], [0.578713, -0.014248, 0.782006, -0.103612, 0.141782, 0.150057, 0.000000, 0.000000, 0.000000, 0.000000], [-0.225022, 0.433634, 0.114101, 0.467722, 0.726066, -0.048697, 0.000000, 0.000000, 0.000000, 0.000000], [0.197851, 0.788837, 0.024200, 0.130815, -0.513867, -0.238398, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.331466, 26.390242, 35.938000, 45.143776, 130.285097], [12.075386, 12.551144, 12.620494, 16.169996, 99.607674], [10.868852, 11.439120, 11.645541, 14.675151, 103.779803], [24.667776, 25.734210, 32.975840, 37.214877, 142.745562], [11.040679, 11.273233, 11.961897, 14.692752, 66.007632], [11.445765, 12.529047, 15.117018, 17.172313, 45.989917]]
### 4
mean: [-0.338804, 2.689230, -1.281159, -0.312350, 2.086453, 0.507388]
std: [0.233012, 2.543524, 1.185686, 0.156835, 1.973914, 0.723501]
pca: [[-0.061263, 0.199705, 0.640219, 0.699539, -0.225426, 0.079453, 0.000000, 0.000000, 0.000000, 0.000000], [0.726718, 0.185752, -0.118774, -0.096766, -0.557176, 0.321654, 0.000000, 0.000000, 0.000000, 0.000000], [-0.338825, 0.010168, 0.227656, -0.318242, 0.060865, 0.853396, 0.000000, 0.000000, 0.000000, 0.000000], [-0.041349, 0.071206, 0.608288, -0.625633, -0.278088, -0.393008, 0.000000, 0.000000, 0.000000, 0.000000], [0.564005, 0.103278, 0.340447, -0.059455, 0.740646, 0.056882, 0.000000, 0.000000, 0.000000, 0.000000], [-0.183068, 0.953821, -0.195615, -0.071084, 0.095621, -0.065193, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.072922, 3.879548, 4.880410, 4.959705, 30.492367], [35.019037, 38.302352, 49.001981, 56.867053, 242.030715], [16.471071, 17.718213, 23.210401, 26.691691, 115.304341], [2.217250, 2.549491, 3.193760, 3.456184, 28.111524], [26.719372, 29.499697, 38.235801, 44.185034, 187.780757], [9.841095, 10.506097, 15.811558, 15.997169, 45.664884]]
### 6
mean: [3.172836, 2.876512, -0.141547, -0.378404, -0.602308, -0.537972]
std: [3.194126, 3.075364, 1.384216, 0.102687, 0.331257, 1.319717]
pca: [[0.660187, 0.416759, 0.415368, -0.030248, 0.034514, -0.464574, 0.000000, 0.000000, 0.000000, 0.000000], [0.635908, -0.024256, -0.344379, 0.423671, -0.037150, 0.543653, 0.000000, 0.000000, 0.000000, 0.000000], [-0.284115, 0.752886, 0.262693, 0.035009, 0.133569, 0.514167, 0.000000, 0.000000, 0.000000, 0.000000], [0.017244, -0.268734, 0.221676, 0.169631, 0.920896, 0.038997, 0.000000, 0.000000, 0.000000, 0.000000], [-0.066421, -0.360106, 0.731653, 0.406790, -0.362657, 0.183299, 0.000000, 0.000000, 0.000000, 0.000000], [-0.272663, 0.238730, -0.235392, 0.790006, 0.004329, -0.434885, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.329694, 47.109869, 63.194733, 71.729015, 285.555194], [41.555334, 44.705006, 61.988076, 69.207627, 258.886057], [18.118151, 18.822493, 19.076423, 29.665005, 31.138796], [1.325100, 1.776765, 1.978270, 2.463444, 34.056320], [4.739094, 5.319080, 5.650438, 7.145338, 54.207715], [17.577629, 18.789306, 27.165988, 29.737603, 48.417457]]
### 8
mean: [3.187407, -1.177264, 3.055724, 2.270475, -2.093699, -1.122292]
std: [3.750267, 2.876683, 3.582747, 2.357185, 3.875113, 0.734961]
pca: [[-0.500469, -0.176358, 0.621519, -0.174891, 0.392982, 0.383564, 0.000000, 0.000000, 0.000000, 0.000000], [0.383152, -0.473306, -0.152551, -0.240499, 0.684655, -0.281624, 0.000000, 0.000000, 0.000000, 0.000000], [-0.478203, -0.024578, -0.431506, 0.663757, 0.378794, -0.021500, 0.000000, 0.000000, 0.000000, 0.000000], [-0.313563, -0.483851, -0.539570, -0.420478, -0.285602, 0.343600, 0.000000, 0.000000, 0.000000, 0.000000], [0.517065, -0.254220, 0.047242, 0.426995, -0.018686, 0.695062, 0.000000, 0.000000, 0.000000, 0.000000], [0.091483, 0.667484, -0.332983, -0.334476, 0.389114, 0.414649, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.980009, 53.351298, 76.341738, 85.148567, 286.866603], [38.664562, 41.488676, 59.796740, 66.551520, 105.953739], [48.323043, 50.338834, 72.921973, 82.037972, 275.015180], [31.574313, 34.745559, 46.703651, 52.806588, 204.342732], [53.575657, 53.860844, 79.646553, 89.006722, 188.432955], [10.639839, 12.016343, 13.170838, 14.278352, 101.006302]]
### 10
mean: [-4.807004]
std: [6.955858]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[95.309035, 98.394395, 143.036812, 160.577595, 432.630334]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.040688,
-0.018546,
-0.13152,
-0.258287,
-0.339553
],
[
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-0.385786,
0.507077,
0.411669
],
[
-0.730995,
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0.11826,
0.144753
],
[
0.453997,
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0.083589,
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],
[
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],
[
-0.372851,
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-0.542992
]
],
"network.0.bias": [
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0.37915,
0.229575,
-0.018881,
-0.021098,
-0.541069
],
"network.2.weight": [
[
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],
[
0.401543,
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0.045878
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[
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0.129,
0.001789,
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],
[
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[
0.14203,
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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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0.201898,
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0.388931,
0.39729
],
[
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],
[
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0.288391,
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[
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0.215239,
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0.439133
],
[
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0.122173,
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]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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[
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[
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[
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[
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],
[
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0.424238
]
],
"network.6.bias": [
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"network.8.weight": [
[
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[
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0.31373,
0.538545
],
[
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0.038972,
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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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0.732124,
0.107929
]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-1.657822, 0.508269, 0.825769, 0.528793, -0.482472, -2.318071]
std: [0.957019, 1.962252, 1.433011, 0.940209, 1.888803, 1.595477]
pca: [[-0.125044, 0.442968, -0.152069, 0.455188, 0.405582, 0.627157, 0.000000, 0.000000, 0.000000, 0.000000], [0.646943, -0.202670, -0.079204, 0.527711, -0.473850, 0.176360, 0.000000, 0.000000, 0.000000, 0.000000], [0.351681, 0.047913, 0.801641, -0.293071, 0.132418, 0.357730, 0.000000, 0.000000, 0.000000, 0.000000], [-0.227182, -0.266723, -0.276926, -0.448106, -0.402622, 0.661555, 0.000000, 0.000000, 0.000000, 0.000000], [0.604961, -0.034604, -0.492384, -0.401308, 0.478834, 0.007275, 0.000000, 0.000000, 0.000000, 0.000000], [0.156716, 0.829500, -0.094033, -0.258044, -0.449498, -0.099462, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.112485, 15.345160, 16.993620, 17.995181, 149.203955], [29.097544, 30.253816, 31.957197, 40.553018, 45.744208], [21.696201, 22.816173, 27.579142, 31.154185, 74.319243], [15.994453, 17.400227, 17.701976, 22.635725, 47.591348], [28.550638, 28.991913, 31.231137, 35.924537, 43.422465], [26.447734, 30.588975, 30.808833, 31.035751, 208.626409]]
### 2
mean: [1.447612, -1.106752, 1.153109, 1.586062, -0.733418, 0.510999]
std: [1.909311, 0.777798, 0.736275, 1.671640, 0.696668, 0.738215]
pca: [[0.665869, 0.146523, -0.602314, -0.192546, 0.345930, 0.125002, 0.000000, 0.000000, 0.000000, 0.000000], [-0.264003, 0.329527, 0.012789, -0.249063, -0.061888, 0.869303, 0.000000, 0.000000, 0.000000, 0.000000], [0.249462, -0.243799, -0.109158, 0.808877, -0.255282, 0.383359, 0.000000, 0.000000, 0.000000, 0.000000], [0.578713, -0.014248, 0.782006, -0.103612, 0.141782, 0.150057, 0.000000, 0.000000, 0.000000, 0.000000], [-0.225022, 0.433634, 0.114101, 0.467722, 0.726066, -0.048697, 0.000000, 0.000000, 0.000000, 0.000000], [0.197851, 0.788837, 0.024200, 0.130815, -0.513867, -0.238398, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.331466, 26.390242, 35.938000, 45.143776, 130.285097], [12.075386, 12.551144, 12.620494, 16.169996, 99.607674], [10.868852, 11.439120, 11.645541, 14.675151, 103.779803], [24.667776, 25.734210, 32.975840, 37.214877, 142.745562], [11.040679, 11.273233, 11.961897, 14.692752, 66.007632], [11.445765, 12.529047, 15.117018, 17.172313, 45.989917]]
### 4
mean: [-0.338804, 2.689230, -1.281159, -0.312350, 2.086453, 0.507388]
std: [0.233012, 2.543524, 1.185686, 0.156835, 1.973914, 0.723501]
pca: [[-0.061263, 0.199705, 0.640219, 0.699539, -0.225426, 0.079453, 0.000000, 0.000000, 0.000000, 0.000000], [0.726718, 0.185752, -0.118774, -0.096766, -0.557176, 0.321654, 0.000000, 0.000000, 0.000000, 0.000000], [-0.338825, 0.010168, 0.227656, -0.318242, 0.060865, 0.853396, 0.000000, 0.000000, 0.000000, 0.000000], [-0.041349, 0.071206, 0.608288, -0.625633, -0.278088, -0.393008, 0.000000, 0.000000, 0.000000, 0.000000], [0.564005, 0.103278, 0.340447, -0.059455, 0.740646, 0.056882, 0.000000, 0.000000, 0.000000, 0.000000], [-0.183068, 0.953821, -0.195615, -0.071084, 0.095621, -0.065193, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.072922, 3.879548, 4.880410, 4.959705, 30.492367], [35.019037, 38.302352, 49.001981, 56.867053, 242.030715], [16.471071, 17.718213, 23.210401, 26.691691, 115.304341], [2.217250, 2.549491, 3.193760, 3.456184, 28.111524], [26.719372, 29.499697, 38.235801, 44.185034, 187.780757], [9.841095, 10.506097, 15.811558, 15.997169, 45.664884]]
### 6
mean: [3.172836, 2.876512, -0.141547, -0.378404, -0.602308, -0.537972]
std: [3.194126, 3.075364, 1.384216, 0.102687, 0.331257, 1.319717]
pca: [[0.660187, 0.416759, 0.415368, -0.030248, 0.034514, -0.464574, 0.000000, 0.000000, 0.000000, 0.000000], [0.635908, -0.024256, -0.344379, 0.423671, -0.037150, 0.543653, 0.000000, 0.000000, 0.000000, 0.000000], [-0.284115, 0.752886, 0.262693, 0.035009, 0.133569, 0.514167, 0.000000, 0.000000, 0.000000, 0.000000], [0.017244, -0.268734, 0.221676, 0.169631, 0.920896, 0.038997, 0.000000, 0.000000, 0.000000, 0.000000], [-0.066421, -0.360106, 0.731653, 0.406790, -0.362657, 0.183299, 0.000000, 0.000000, 0.000000, 0.000000], [-0.272663, 0.238730, -0.235392, 0.790006, 0.004329, -0.434885, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.329694, 47.109869, 63.194733, 71.729015, 285.555194], [41.555334, 44.705006, 61.988076, 69.207627, 258.886057], [18.118151, 18.822493, 19.076423, 29.665005, 31.138796], [1.325100, 1.776765, 1.978270, 2.463444, 34.056320], [4.739094, 5.319080, 5.650438, 7.145338, 54.207715], [17.577629, 18.789306, 27.165988, 29.737603, 48.417457]]
### 8
mean: [3.187407, -1.177264, 3.055724, 2.270475, -2.093699, -1.122292]
std: [3.750267, 2.876683, 3.582747, 2.357185, 3.875113, 0.734961]
pca: [[-0.500469, -0.176358, 0.621519, -0.174891, 0.392982, 0.383564, 0.000000, 0.000000, 0.000000, 0.000000], [0.383152, -0.473306, -0.152551, -0.240499, 0.684655, -0.281624, 0.000000, 0.000000, 0.000000, 0.000000], [-0.478203, -0.024578, -0.431506, 0.663757, 0.378794, -0.021500, 0.000000, 0.000000, 0.000000, 0.000000], [-0.313563, -0.483851, -0.539570, -0.420478, -0.285602, 0.343600, 0.000000, 0.000000, 0.000000, 0.000000], [0.517065, -0.254220, 0.047242, 0.426995, -0.018686, 0.695062, 0.000000, 0.000000, 0.000000, 0.000000], [0.091483, 0.667484, -0.332983, -0.334476, 0.389114, 0.414649, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.980009, 53.351298, 76.341738, 85.148567, 286.866603], [38.664562, 41.488676, 59.796740, 66.551520, 105.953739], [48.323043, 50.338834, 72.921973, 82.037972, 275.015180], [31.574313, 34.745559, 46.703651, 52.806588, 204.342732], [53.575657, 53.860844, 79.646553, 89.006722, 188.432955], [10.639839, 12.016343, 13.170838, 14.278352, 101.006302]]
### 10
mean: [-4.807004]
std: [6.955858]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[95.309035, 98.394395, 143.036812, 160.577595, 432.630334]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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"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"}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6844010949134827, "train_acc": 0.52, "val_loss": 0.6598188281059265, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6762634813785553, "train_acc": 0.56, "val_loss": 0.6132028698921204, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6223012804985046, "train_acc": 0.6, "val_loss": 0.5018072724342346, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.43831732869148254, "train_acc": 0.89, "val_loss": 0.37189874053001404, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.29374295473098755, "train_acc": 0.895, "val_loss": 0.3346441984176636, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.20253461599349976, "train_acc": 0.92, "val_loss": 0.39601242542266846, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.22547084093093872, "train_acc": 0.935, "val_loss": 0.4103332459926605, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.25561434030532837, "train_acc": 0.93, "val_loss": 0.3821009695529938, "val_acc": 0.88}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6598188281059265, "final_val_loss": 0.6132028698921204, "initial_val_acc": 0.62, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.5018072724342346, "final_val_loss": 0.3821009695529938, "initial_val_acc": 0.82, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 5}, "improvement": 0.26, "first_improvement_epoch": 1}}
|
9,708
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.82, "improved_accuracy": 0.98, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7771, "learning_rate": 0.06145697111981349, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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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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"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: [-2.715683, 2.199291, -1.454350, 0.283752, 0.170331, -0.826937, 2.399920, 5.911699]
std: [1.931625, 2.863227, 2.848201, 2.276928, 0.785095, 3.157552, 2.969414, 4.315813]
pca: [[-0.082195, 0.561466, 0.666990, 0.226778, -0.212981, -0.331488, -0.079901, -0.141655, 0.000000, 0.000000], [0.375966, -0.142201, 0.014073, 0.768914, 0.152047, 0.245198, -0.400000, -0.061329, 0.000000, 0.000000], [-0.386132, -0.107310, 0.194306, -0.275535, 0.525945, 0.074187, -0.543095, -0.385536, 0.000000, 0.000000], [0.239482, 0.504993, -0.001946, -0.316159, -0.169961, 0.724201, -0.184828, 0.012418, 0.000000, 0.000000], [0.044962, -0.099492, 0.438763, 0.083742, 0.441586, 0.367927, 0.665989, -0.121010, 0.000000, 0.000000], [-0.399623, -0.409271, 0.414186, 0.039581, -0.342269, 0.305774, -0.160778, 0.513017, 0.000000, 0.000000], [0.405348, 0.094258, 0.195611, -0.232660, 0.465482, -0.245398, -0.166866, 0.655497, 0.000000, 0.000000], [0.565170, -0.460124, 0.338882, -0.344611, -0.311762, -0.104564, -0.085250, -0.346228, 0.000000, 0.000000]]
fourier: [[28.897886, 29.897070, 31.943310, 34.108756, 244.411441], [46.824835, 48.143453, 53.505092, 54.845695, 197.936171], [43.612755, 46.513497, 50.363335, 51.531712, 130.891551], [31.062229, 36.410692, 38.199138, 43.823182, 44.883686], [12.703679, 12.806990, 14.630517, 15.329809, 17.029915], [46.125930, 48.852512, 52.975324, 64.566274, 74.424329], [45.919858, 46.530552, 47.820436, 53.037025, 215.992812], [65.618095, 67.043842, 80.457678, 82.811543, 532.052894]]
### 2
mean: [-1.732836, -4.245720, 7.775305, 4.838603, -2.217707, 3.289886, -3.447219, 1.114871]
std: [1.079807, 3.110081, 7.049940, 5.201910, 2.299336, 3.736817, 2.482817, 2.008682]
pca: [[-0.086617, 0.330747, 0.216256, 0.329467, -0.104412, -0.443115, 0.274038, 0.667412, 0.000000, 0.000000], [-0.283921, 0.448280, -0.047421, 0.430602, -0.395814, 0.601652, -0.049035, -0.098534, 0.000000, 0.000000], [0.659035, -0.219180, -0.493120, 0.327760, -0.074683, 0.207815, 0.276086, 0.205063, 0.000000, 0.000000], [0.483884, 0.235957, 0.577316, -0.425353, -0.182086, 0.310262, 0.254558, 0.041763, 0.000000, 0.000000], [-0.211197, -0.287778, 0.147842, 0.173619, -0.219336, -0.157451, 0.733228, -0.458319, 0.000000, 0.000000], [0.345194, 0.377270, 0.213793, 0.456267, 0.491525, -0.184643, -0.077806, -0.450420, 0.000000, 0.000000], [-0.223723, 0.379535, -0.360639, -0.310164, 0.539582, 0.212730, 0.486889, 0.078584, 0.000000, 0.000000], [0.172047, 0.465554, -0.420594, -0.288369, -0.461349, -0.445057, -0.027149, -0.286265, 0.000000, 0.000000]]
fourier: [[17.955363, 19.293600, 19.316726, 21.350164, 155.955289], [50.815935, 52.719453, 54.288195, 54.604055, 382.114768], [112.637786, 113.777660, 126.857403, 128.341293, 699.777506], [81.286301, 84.787194, 90.418730, 96.676938, 435.474316], [37.150700, 39.124325, 40.731318, 42.863156, 199.593645], [58.193487, 60.089639, 66.959848, 72.136250, 296.089735], [39.350025, 42.256972, 42.898402, 43.440220, 310.249687], [33.238048, 34.616221, 35.289134, 36.979177, 100.338417]]
### 4
mean: [-5.618485, -7.147706, 2.751443, 6.776621, -6.431427, -0.977059, -2.794556, 10.008814]
std: [5.003609, 7.113603, 2.792313, 6.856976, 6.596480, 0.813812, 2.294131, 9.777555]
pca: [[-0.301153, -0.346651, 0.601616, -0.215777, -0.012013, -0.224325, 0.561750, -0.120872, 0.000000, 0.000000], [-0.428659, -0.282396, -0.496236, 0.185224, 0.523579, -0.424181, 0.042358, 0.009373, 0.000000, 0.000000], [0.167595, -0.467380, 0.331659, -0.094893, 0.539722, 0.346815, -0.379857, 0.280345, 0.000000, 0.000000], [0.413328, -0.241171, -0.307426, 0.080421, 0.191351, 0.414115, 0.504325, -0.455597, 0.000000, 0.000000], [-0.397534, -0.257825, -0.377203, -0.402621, -0.331405, 0.451136, 0.130857, 0.375007, 0.000000, 0.000000], [-0.047411, -0.211604, 0.111671, 0.835257, -0.247020, 0.143430, 0.175007, 0.361432, 0.000000, 0.000000], [-0.137103, 0.629790, 0.089028, -0.001070, 0.474166, 0.248226, 0.405059, 0.355130, 0.000000, 0.000000], [0.589535, -0.124868, -0.156912, -0.209525, -0.046092, -0.438481, 0.268672, 0.549326, 0.000000, 0.000000]]
fourier: [[77.821494, 83.720407, 86.197866, 90.471307, 505.663637], [116.382668, 118.189525, 125.030944, 125.459725, 643.293530], [45.613144, 45.875841, 49.165263, 51.100120, 247.629854], [108.822329, 111.380107, 121.329527, 123.819337, 609.895815], [107.888557, 108.143639, 115.675352, 116.547915, 578.828344], [12.291993, 13.442839, 14.310470, 15.877916, 87.935321], [34.926667, 38.166214, 42.058053, 42.525251, 251.510007], [156.854238, 159.143193, 172.403763, 175.669970, 900.793327]]
### 6
mean: [-3.834937, 7.143554, -4.966177, -0.893099, 7.891484, 9.514992, 6.513552, -2.006420]
std: [4.391761, 7.252732, 5.717876, 0.480002, 8.073822, 9.413312, 6.702631, 1.625529]
pca: [[-0.250858, 0.666307, -0.371858, 0.064625, 0.125111, 0.370515, 0.441216, -0.055175, 0.000000, 0.000000], [0.414524, -0.190159, -0.018774, 0.042769, -0.007828, 0.602786, 0.077866, 0.648346, 0.000000, 0.000000], [-0.326779, 0.312594, 0.220539, 0.023268, 0.090309, -0.451737, -0.030343, 0.730191, 0.000000, 0.000000], [-0.027269, -0.082828, 0.536997, -0.374339, -0.294548, 0.005906, 0.688262, -0.058322, 0.000000, 0.000000], [0.461394, 0.583459, 0.398188, -0.339321, 0.131215, 0.089874, -0.362231, -0.128424, 0.000000, 0.000000], [0.538011, 0.181803, 0.057314, 0.668146, -0.141241, -0.339080, 0.299636, -0.055512, 0.000000, 0.000000], [0.383079, -0.098639, -0.463889, -0.480745, 0.389647, -0.398630, 0.281229, 0.085973, 0.000000, 0.000000], [-0.092855, -0.179145, 0.383840, 0.246271, 0.836888, 0.115354, 0.156707, -0.114270, 0.000000, 0.000000]]
fourier: [[70.376990, 71.914954, 77.097760, 79.612537, 345.144267], [116.902934, 117.040801, 129.341131, 129.717587, 642.919947], [91.954772, 92.736017, 101.736973, 102.629377, 446.955969], [7.497677, 8.107899, 8.556532, 8.878135, 80.378935], [128.687188, 131.164008, 142.490113, 145.314451, 710.233498], [150.586045, 152.042539, 167.487552, 168.692052, 856.349244], [108.084050, 108.528858, 119.747878, 119.798492, 586.219673], [26.045729, 26.339977, 28.441550, 29.572649, 180.577799]]
### 8
mean: [-10.446336]
std: [11.014282]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[176.480080, 178.535640, 197.365044, 198.258632, 940.170260]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.8.bias": [
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}
## Activation Signature
### 0
mean: [-2.715683, 2.199291, -1.454350, 0.283752, 0.170331, -0.826937, 2.399920, 5.911699]
std: [1.931625, 2.863227, 2.848201, 2.276928, 0.785095, 3.157552, 2.969414, 4.315813]
pca: [[-0.082195, 0.561466, 0.666990, 0.226778, -0.212981, -0.331488, -0.079901, -0.141655, 0.000000, 0.000000], [0.375966, -0.142201, 0.014073, 0.768914, 0.152047, 0.245198, -0.400000, -0.061329, 0.000000, 0.000000], [-0.386132, -0.107310, 0.194306, -0.275535, 0.525945, 0.074187, -0.543095, -0.385536, 0.000000, 0.000000], [0.239482, 0.504993, -0.001946, -0.316159, -0.169961, 0.724201, -0.184828, 0.012418, 0.000000, 0.000000], [0.044962, -0.099492, 0.438763, 0.083742, 0.441586, 0.367927, 0.665989, -0.121010, 0.000000, 0.000000], [-0.399623, -0.409271, 0.414186, 0.039581, -0.342269, 0.305774, -0.160778, 0.513017, 0.000000, 0.000000], [0.405348, 0.094258, 0.195611, -0.232660, 0.465482, -0.245398, -0.166866, 0.655497, 0.000000, 0.000000], [0.565170, -0.460124, 0.338882, -0.344611, -0.311762, -0.104564, -0.085250, -0.346228, 0.000000, 0.000000]]
fourier: [[28.897886, 29.897070, 31.943310, 34.108756, 244.411441], [46.824835, 48.143453, 53.505092, 54.845695, 197.936171], [43.612755, 46.513497, 50.363335, 51.531712, 130.891551], [31.062229, 36.410692, 38.199138, 43.823182, 44.883686], [12.703679, 12.806990, 14.630517, 15.329809, 17.029915], [46.125930, 48.852512, 52.975324, 64.566274, 74.424329], [45.919858, 46.530552, 47.820436, 53.037025, 215.992812], [65.618095, 67.043842, 80.457678, 82.811543, 532.052894]]
### 2
mean: [-1.732836, -4.245720, 7.775305, 4.838603, -2.217707, 3.289886, -3.447219, 1.114871]
std: [1.079807, 3.110081, 7.049940, 5.201910, 2.299336, 3.736817, 2.482817, 2.008682]
pca: [[-0.086617, 0.330747, 0.216256, 0.329467, -0.104412, -0.443115, 0.274038, 0.667412, 0.000000, 0.000000], [-0.283921, 0.448280, -0.047421, 0.430602, -0.395814, 0.601652, -0.049035, -0.098534, 0.000000, 0.000000], [0.659035, -0.219180, -0.493120, 0.327760, -0.074683, 0.207815, 0.276086, 0.205063, 0.000000, 0.000000], [0.483884, 0.235957, 0.577316, -0.425353, -0.182086, 0.310262, 0.254558, 0.041763, 0.000000, 0.000000], [-0.211197, -0.287778, 0.147842, 0.173619, -0.219336, -0.157451, 0.733228, -0.458319, 0.000000, 0.000000], [0.345194, 0.377270, 0.213793, 0.456267, 0.491525, -0.184643, -0.077806, -0.450420, 0.000000, 0.000000], [-0.223723, 0.379535, -0.360639, -0.310164, 0.539582, 0.212730, 0.486889, 0.078584, 0.000000, 0.000000], [0.172047, 0.465554, -0.420594, -0.288369, -0.461349, -0.445057, -0.027149, -0.286265, 0.000000, 0.000000]]
fourier: [[17.955363, 19.293600, 19.316726, 21.350164, 155.955289], [50.815935, 52.719453, 54.288195, 54.604055, 382.114768], [112.637786, 113.777660, 126.857403, 128.341293, 699.777506], [81.286301, 84.787194, 90.418730, 96.676938, 435.474316], [37.150700, 39.124325, 40.731318, 42.863156, 199.593645], [58.193487, 60.089639, 66.959848, 72.136250, 296.089735], [39.350025, 42.256972, 42.898402, 43.440220, 310.249687], [33.238048, 34.616221, 35.289134, 36.979177, 100.338417]]
### 4
mean: [-5.618485, -7.147706, 2.751443, 6.776621, -6.431427, -0.977059, -2.794556, 10.008814]
std: [5.003609, 7.113603, 2.792313, 6.856976, 6.596480, 0.813812, 2.294131, 9.777555]
pca: [[-0.301153, -0.346651, 0.601616, -0.215777, -0.012013, -0.224325, 0.561750, -0.120872, 0.000000, 0.000000], [-0.428659, -0.282396, -0.496236, 0.185224, 0.523579, -0.424181, 0.042358, 0.009373, 0.000000, 0.000000], [0.167595, -0.467380, 0.331659, -0.094893, 0.539722, 0.346815, -0.379857, 0.280345, 0.000000, 0.000000], [0.413328, -0.241171, -0.307426, 0.080421, 0.191351, 0.414115, 0.504325, -0.455597, 0.000000, 0.000000], [-0.397534, -0.257825, -0.377203, -0.402621, -0.331405, 0.451136, 0.130857, 0.375007, 0.000000, 0.000000], [-0.047411, -0.211604, 0.111671, 0.835257, -0.247020, 0.143430, 0.175007, 0.361432, 0.000000, 0.000000], [-0.137103, 0.629790, 0.089028, -0.001070, 0.474166, 0.248226, 0.405059, 0.355130, 0.000000, 0.000000], [0.589535, -0.124868, -0.156912, -0.209525, -0.046092, -0.438481, 0.268672, 0.549326, 0.000000, 0.000000]]
fourier: [[77.821494, 83.720407, 86.197866, 90.471307, 505.663637], [116.382668, 118.189525, 125.030944, 125.459725, 643.293530], [45.613144, 45.875841, 49.165263, 51.100120, 247.629854], [108.822329, 111.380107, 121.329527, 123.819337, 609.895815], [107.888557, 108.143639, 115.675352, 116.547915, 578.828344], [12.291993, 13.442839, 14.310470, 15.877916, 87.935321], [34.926667, 38.166214, 42.058053, 42.525251, 251.510007], [156.854238, 159.143193, 172.403763, 175.669970, 900.793327]]
### 6
mean: [-3.834937, 7.143554, -4.966177, -0.893099, 7.891484, 9.514992, 6.513552, -2.006420]
std: [4.391761, 7.252732, 5.717876, 0.480002, 8.073822, 9.413312, 6.702631, 1.625529]
pca: [[-0.250858, 0.666307, -0.371858, 0.064625, 0.125111, 0.370515, 0.441216, -0.055175, 0.000000, 0.000000], [0.414524, -0.190159, -0.018774, 0.042769, -0.007828, 0.602786, 0.077866, 0.648346, 0.000000, 0.000000], [-0.326779, 0.312594, 0.220539, 0.023268, 0.090309, -0.451737, -0.030343, 0.730191, 0.000000, 0.000000], [-0.027269, -0.082828, 0.536997, -0.374339, -0.294548, 0.005906, 0.688262, -0.058322, 0.000000, 0.000000], [0.461394, 0.583459, 0.398188, -0.339321, 0.131215, 0.089874, -0.362231, -0.128424, 0.000000, 0.000000], [0.538011, 0.181803, 0.057314, 0.668146, -0.141241, -0.339080, 0.299636, -0.055512, 0.000000, 0.000000], [0.383079, -0.098639, -0.463889, -0.480745, 0.389647, -0.398630, 0.281229, 0.085973, 0.000000, 0.000000], [-0.092855, -0.179145, 0.383840, 0.246271, 0.836888, 0.115354, 0.156707, -0.114270, 0.000000, 0.000000]]
fourier: [[70.376990, 71.914954, 77.097760, 79.612537, 345.144267], [116.902934, 117.040801, 129.341131, 129.717587, 642.919947], [91.954772, 92.736017, 101.736973, 102.629377, 446.955969], [7.497677, 8.107899, 8.556532, 8.878135, 80.378935], [128.687188, 131.164008, 142.490113, 145.314451, 710.233498], [150.586045, 152.042539, 167.487552, 168.692052, 856.349244], [108.084050, 108.528858, 119.747878, 119.798492, 586.219673], [26.045729, 26.339977, 28.441550, 29.572649, 180.577799]]
### 8
mean: [-10.446336]
std: [11.014282]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[176.480080, 178.535640, 197.365044, 198.258632, 940.170260]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.658158153295517, "train_acc": 0.58, "val_loss": 0.5646146535873413, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.4970237910747528, "train_acc": 0.59, "val_loss": 0.4637269973754883, "val_acc": 0.82}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.49762527644634247, "train_acc": 0.745, "val_loss": 0.5459428429603577, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.45842012763023376, "train_acc": 0.78, "val_loss": 0.4435705244541168, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3879867196083069, "train_acc": 0.815, "val_loss": 0.27826592326164246, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.32359232008457184, "train_acc": 0.875, "val_loss": 0.2055758237838745, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.24267452210187912, "train_acc": 0.895, "val_loss": 0.2553386688232422, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.27589111775159836, "train_acc": 0.89, "val_loss": 0.14848533272743225, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2691846787929535, "train_acc": 0.875, "val_loss": 0.1670064479112625, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.24865104258060455, "train_acc": 0.91, "val_loss": 0.20257431268692017, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.20287872105836868, "train_acc": 0.9, "val_loss": 0.15288430452346802, "val_acc": 0.98}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.5646146535873413, "final_val_loss": 0.4637269973754883, "initial_val_acc": 0.52, "final_val_acc": 0.82, "best_val_acc": 0.82}, "improved_stage": {"initial_val_loss": 0.5459428429603577, "final_val_loss": 0.15288430452346802, "initial_val_acc": 0.7, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 10}, "improvement": 0.16000000000000003, "first_improvement_epoch": 1}}
|
9,709
|
{"target_pattern": "alternating", "degraded_accuracy": 0.66, "improved_accuracy": 0.94, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1259, "learning_rate": 0.026559827062321517, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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],
[
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]
],
"network.0.bias": [
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"network.2.weight": [
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[
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[
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[
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[
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],
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"network.4.weight": [
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"network.6.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: [-0.598595, -2.468661, 0.435594, 0.263611, 0.162613, 0.875323, 1.068296]
std: [2.421415, 1.535057, 1.522916, 0.968709, 0.972723, 1.691473, 1.440125]
pca: [[0.818121, -0.343460, -0.415461, -0.157180, 0.046594, 0.038968, 0.108216, 0.000000, 0.000000, 0.000000], [0.370208, 0.020743, 0.512634, 0.583240, -0.210986, 0.463682, 0.006146, 0.000000, 0.000000, 0.000000], [0.099120, 0.472839, -0.453364, 0.489483, 0.373377, -0.039232, -0.424872, 0.000000, 0.000000, 0.000000], [0.004160, 0.390143, -0.152001, 0.185693, 0.075396, -0.063702, 0.883426, 0.000000, 0.000000, 0.000000], [0.058929, 0.207460, 0.237232, -0.433375, 0.657817, 0.525545, 0.021769, 0.000000, 0.000000, 0.000000], [-0.419908, -0.426610, -0.469369, 0.210543, -0.006174, 0.604175, 0.109457, 0.000000, 0.000000, 0.000000], [0.063144, 0.529889, -0.243657, -0.359037, -0.612746, 0.369674, -0.121813, 0.000000, 0.000000, 0.000000]]
fourier: [[38.951703, 42.625682, 45.974619, 46.321559, 53.873541], [24.528844, 25.964272, 27.991591, 29.331204, 222.179472], [22.023577, 22.233639, 23.977284, 24.883805, 39.203423], [14.373747, 14.677482, 15.918408, 16.747342, 23.724978], [13.898468, 14.043615, 14.635137, 16.874512, 17.026547], [25.561100, 26.031841, 29.001945, 33.531409, 78.779049], [23.065488, 23.746322, 24.773298, 27.779203, 96.146641]]
### 2
mean: [0.319099, -0.027377, -0.134047, 0.006150, -0.156439, -0.950576, -0.536785]
std: [1.323264, 1.326843, 1.148361, 0.726601, 1.320439, 0.743789, 1.497525]
pca: [[0.529861, 0.139733, -0.133176, -0.357168, 0.104071, -0.541801, -0.500038, 0.000000, 0.000000, 0.000000], [0.501139, 0.264617, 0.277030, -0.203983, -0.161460, -0.077210, 0.726947, 0.000000, 0.000000, 0.000000], [0.451981, 0.176825, 0.177524, -0.004162, 0.077191, 0.779786, -0.344803, 0.000000, 0.000000, 0.000000], [0.267296, -0.119690, -0.018117, 0.524553, 0.771062, -0.121237, 0.171778, 0.000000, 0.000000, 0.000000], [-0.292828, 0.016661, 0.840852, -0.266754, 0.317873, -0.121039, -0.141740, 0.000000, 0.000000, 0.000000], [0.171306, 0.049172, 0.386758, 0.679903, -0.493166, -0.247024, -0.228370, 0.000000, 0.000000, 0.000000], [-0.277991, 0.928528, -0.130619, 0.149072, 0.135457, -0.045335, -0.029477, 0.000000, 0.000000, 0.000000]]
fourier: [[19.762449, 20.494482, 21.956123, 24.990916, 28.718939], [20.390042, 20.506792, 22.220007, 22.412273, 23.036745], [17.389078, 17.812927, 18.836758, 18.890348, 21.141607], [10.058708, 10.621385, 11.599744, 11.621186, 14.635303], [21.118490, 21.232186, 21.585099, 23.110659, 25.416048], [11.402466, 11.547768, 12.155351, 14.782076, 85.551812], [20.384342, 20.942364, 26.141594, 32.328700, 48.310621]]
### 4
mean: [-0.628112, 0.614604, 0.387467, -0.038070, 1.144412, -0.251824, 0.782093]
std: [1.475762, 0.879796, 0.821252, 1.359343, 1.294731, 1.166866, 0.763058]
pca: [[0.520433, -0.206890, -0.573770, 0.043130, -0.306635, -0.383707, 0.337665, 0.000000, 0.000000, 0.000000], [-0.133821, 0.718589, -0.017789, 0.102950, -0.386587, -0.473112, -0.285520, 0.000000, 0.000000, 0.000000], [0.231459, 0.438791, -0.430308, -0.361974, 0.649708, 0.069916, -0.103395, 0.000000, 0.000000, 0.000000], [0.479661, 0.147117, 0.666232, 0.018141, 0.270997, -0.351961, 0.326759, 0.000000, 0.000000, 0.000000], [-0.450274, 0.296797, -0.078790, -0.122856, -0.039215, 0.089382, 0.823612, 0.000000, 0.000000, 0.000000], [0.392373, 0.361676, -0.022509, 0.534147, -0.155578, 0.630746, 0.085844, 0.000000, 0.000000, 0.000000], [-0.266252, -0.088018, -0.186350, 0.745507, 0.484998, -0.307148, 0.035960, 0.000000, 0.000000, 0.000000]]
fourier: [[22.561776, 24.796715, 26.597066, 28.401838, 56.530088], [11.382993, 13.864911, 14.965813, 17.225208, 55.314392], [11.800583, 14.983343, 17.493699, 20.818343, 34.872064], [19.054491, 19.446967, 19.581520, 22.209064, 28.058288], [19.319797, 20.787114, 22.661522, 26.329612, 102.997081], [16.635409, 20.547414, 22.077508, 22.664164, 23.596753], [11.444097, 11.818913, 14.421231, 15.435222, 70.388367]]
### 6
mean: [0.633986, 0.496227, 1.045508, 0.741662, 1.494853, 0.641475, 0.555058]
std: [1.541025, 1.155326, 1.536963, 1.581456, 1.858734, 1.230319, 0.887875]
pca: [[0.437792, 0.048204, 0.716455, -0.018684, 0.092620, -0.118589, 0.519342, 0.000000, 0.000000, 0.000000], [0.318417, 0.197011, -0.603772, 0.288538, 0.188029, 0.219376, 0.573168, 0.000000, 0.000000, 0.000000], [0.413603, 0.359654, -0.016168, -0.145258, 0.657257, -0.050304, -0.493663, 0.000000, 0.000000, 0.000000], [0.434515, 0.297995, -0.224201, -0.510410, -0.603908, -0.212115, -0.043745, 0.000000, 0.000000, 0.000000], [-0.414565, 0.817662, 0.127097, 0.269523, -0.090333, -0.240476, 0.069135, 0.000000, 0.000000, 0.000000], [0.348373, 0.099800, 0.192229, 0.550511, -0.384603, 0.496520, -0.366347, 0.000000, 0.000000, 0.000000], [-0.232057, 0.249359, 0.136082, -0.508993, 0.057402, 0.765458, 0.130981, 0.000000, 0.000000, 0.000000]]
fourier: [[22.487563, 25.350418, 25.485867, 30.037207, 57.058708], [17.511618, 19.603999, 21.908879, 25.404471, 44.660471], [23.650668, 24.873447, 27.258866, 31.594015, 94.095713], [23.880653, 25.678394, 29.185357, 32.461995, 66.749560], [27.868907, 28.411773, 28.750813, 40.124437, 134.536776], [18.499546, 19.053512, 21.261077, 25.123143, 57.732733], [12.870320, 13.427783, 16.335014, 17.865192, 49.955223]]
### 8
mean: [1.337299, 1.208033, 0.191526, 1.244205, 0.941645, 0.503058, 0.918535]
std: [2.401665, 2.485729, 1.395754, 3.298768, 2.340611, 2.082327, 3.513048]
pca: [[-0.324204, 0.648371, -0.542364, 0.093677, 0.004526, 0.363562, 0.198429, 0.000000, 0.000000, 0.000000], [-0.351527, 0.516490, 0.487279, -0.333524, 0.167872, -0.179319, -0.447941, 0.000000, 0.000000, 0.000000], [0.208172, 0.104557, 0.112116, 0.753994, 0.167888, 0.254539, -0.521228, 0.000000, 0.000000, 0.000000], [0.481969, 0.474138, -0.034981, 0.133959, -0.491702, -0.527854, 0.057708, 0.000000, 0.000000, 0.000000], [0.346459, 0.247970, 0.285973, 0.060465, 0.664680, -0.024749, 0.539100, 0.000000, 0.000000, 0.000000], [-0.312814, 0.027726, 0.593527, 0.303218, -0.463027, 0.254349, 0.421990, 0.000000, 0.000000, 0.000000], [0.527071, 0.121883, 0.143361, -0.444901, -0.213654, 0.653408, -0.127519, 0.000000, 0.000000, 0.000000]]
fourier: [[34.970604, 35.160017, 41.688022, 49.286529, 120.356901], [35.097186, 37.748003, 45.230946, 50.326594, 108.723008], [18.973896, 21.390645, 21.850972, 24.081439, 28.111113], [47.771304, 51.795745, 56.224224, 66.228652, 111.978429], [34.956680, 36.315066, 40.267724, 47.171793, 84.748017], [30.486296, 34.796450, 36.618884, 41.339031, 45.275261], [53.043831, 57.924499, 60.049067, 70.903493, 82.668139]]
### 10
mean: [-0.256146]
std: [6.340308]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[82.916482, 88.655232, 105.919449, 115.448524, 125.335492]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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[
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[
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],
[
-0.563711,
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0.390406,
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0.473985
]
],
"network.0.bias": [
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-0.336952,
0.058722,
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],
"network.2.weight": [
[
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[
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[
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[
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[
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[
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[
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]
],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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[
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[
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"network.6.weight": [
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[
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[
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[
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[
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[
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],
"network.6.bias": [
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0.423591
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"network.8.weight": [
[
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[
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[
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"network.10.weight": [
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.598595, -2.468661, 0.435594, 0.263611, 0.162613, 0.875323, 1.068296]
std: [2.421415, 1.535057, 1.522916, 0.968709, 0.972723, 1.691473, 1.440125]
pca: [[0.818121, -0.343460, -0.415461, -0.157180, 0.046594, 0.038968, 0.108216, 0.000000, 0.000000, 0.000000], [0.370208, 0.020743, 0.512634, 0.583240, -0.210986, 0.463682, 0.006146, 0.000000, 0.000000, 0.000000], [0.099120, 0.472839, -0.453364, 0.489483, 0.373377, -0.039232, -0.424872, 0.000000, 0.000000, 0.000000], [0.004160, 0.390143, -0.152001, 0.185693, 0.075396, -0.063702, 0.883426, 0.000000, 0.000000, 0.000000], [0.058929, 0.207460, 0.237232, -0.433375, 0.657817, 0.525545, 0.021769, 0.000000, 0.000000, 0.000000], [-0.419908, -0.426610, -0.469369, 0.210543, -0.006174, 0.604175, 0.109457, 0.000000, 0.000000, 0.000000], [0.063144, 0.529889, -0.243657, -0.359037, -0.612746, 0.369674, -0.121813, 0.000000, 0.000000, 0.000000]]
fourier: [[38.951703, 42.625682, 45.974619, 46.321559, 53.873541], [24.528844, 25.964272, 27.991591, 29.331204, 222.179472], [22.023577, 22.233639, 23.977284, 24.883805, 39.203423], [14.373747, 14.677482, 15.918408, 16.747342, 23.724978], [13.898468, 14.043615, 14.635137, 16.874512, 17.026547], [25.561100, 26.031841, 29.001945, 33.531409, 78.779049], [23.065488, 23.746322, 24.773298, 27.779203, 96.146641]]
### 2
mean: [0.319099, -0.027377, -0.134047, 0.006150, -0.156439, -0.950576, -0.536785]
std: [1.323264, 1.326843, 1.148361, 0.726601, 1.320439, 0.743789, 1.497525]
pca: [[0.529861, 0.139733, -0.133176, -0.357168, 0.104071, -0.541801, -0.500038, 0.000000, 0.000000, 0.000000], [0.501139, 0.264617, 0.277030, -0.203983, -0.161460, -0.077210, 0.726947, 0.000000, 0.000000, 0.000000], [0.451981, 0.176825, 0.177524, -0.004162, 0.077191, 0.779786, -0.344803, 0.000000, 0.000000, 0.000000], [0.267296, -0.119690, -0.018117, 0.524553, 0.771062, -0.121237, 0.171778, 0.000000, 0.000000, 0.000000], [-0.292828, 0.016661, 0.840852, -0.266754, 0.317873, -0.121039, -0.141740, 0.000000, 0.000000, 0.000000], [0.171306, 0.049172, 0.386758, 0.679903, -0.493166, -0.247024, -0.228370, 0.000000, 0.000000, 0.000000], [-0.277991, 0.928528, -0.130619, 0.149072, 0.135457, -0.045335, -0.029477, 0.000000, 0.000000, 0.000000]]
fourier: [[19.762449, 20.494482, 21.956123, 24.990916, 28.718939], [20.390042, 20.506792, 22.220007, 22.412273, 23.036745], [17.389078, 17.812927, 18.836758, 18.890348, 21.141607], [10.058708, 10.621385, 11.599744, 11.621186, 14.635303], [21.118490, 21.232186, 21.585099, 23.110659, 25.416048], [11.402466, 11.547768, 12.155351, 14.782076, 85.551812], [20.384342, 20.942364, 26.141594, 32.328700, 48.310621]]
### 4
mean: [-0.628112, 0.614604, 0.387467, -0.038070, 1.144412, -0.251824, 0.782093]
std: [1.475762, 0.879796, 0.821252, 1.359343, 1.294731, 1.166866, 0.763058]
pca: [[0.520433, -0.206890, -0.573770, 0.043130, -0.306635, -0.383707, 0.337665, 0.000000, 0.000000, 0.000000], [-0.133821, 0.718589, -0.017789, 0.102950, -0.386587, -0.473112, -0.285520, 0.000000, 0.000000, 0.000000], [0.231459, 0.438791, -0.430308, -0.361974, 0.649708, 0.069916, -0.103395, 0.000000, 0.000000, 0.000000], [0.479661, 0.147117, 0.666232, 0.018141, 0.270997, -0.351961, 0.326759, 0.000000, 0.000000, 0.000000], [-0.450274, 0.296797, -0.078790, -0.122856, -0.039215, 0.089382, 0.823612, 0.000000, 0.000000, 0.000000], [0.392373, 0.361676, -0.022509, 0.534147, -0.155578, 0.630746, 0.085844, 0.000000, 0.000000, 0.000000], [-0.266252, -0.088018, -0.186350, 0.745507, 0.484998, -0.307148, 0.035960, 0.000000, 0.000000, 0.000000]]
fourier: [[22.561776, 24.796715, 26.597066, 28.401838, 56.530088], [11.382993, 13.864911, 14.965813, 17.225208, 55.314392], [11.800583, 14.983343, 17.493699, 20.818343, 34.872064], [19.054491, 19.446967, 19.581520, 22.209064, 28.058288], [19.319797, 20.787114, 22.661522, 26.329612, 102.997081], [16.635409, 20.547414, 22.077508, 22.664164, 23.596753], [11.444097, 11.818913, 14.421231, 15.435222, 70.388367]]
### 6
mean: [0.633986, 0.496227, 1.045508, 0.741662, 1.494853, 0.641475, 0.555058]
std: [1.541025, 1.155326, 1.536963, 1.581456, 1.858734, 1.230319, 0.887875]
pca: [[0.437792, 0.048204, 0.716455, -0.018684, 0.092620, -0.118589, 0.519342, 0.000000, 0.000000, 0.000000], [0.318417, 0.197011, -0.603772, 0.288538, 0.188029, 0.219376, 0.573168, 0.000000, 0.000000, 0.000000], [0.413603, 0.359654, -0.016168, -0.145258, 0.657257, -0.050304, -0.493663, 0.000000, 0.000000, 0.000000], [0.434515, 0.297995, -0.224201, -0.510410, -0.603908, -0.212115, -0.043745, 0.000000, 0.000000, 0.000000], [-0.414565, 0.817662, 0.127097, 0.269523, -0.090333, -0.240476, 0.069135, 0.000000, 0.000000, 0.000000], [0.348373, 0.099800, 0.192229, 0.550511, -0.384603, 0.496520, -0.366347, 0.000000, 0.000000, 0.000000], [-0.232057, 0.249359, 0.136082, -0.508993, 0.057402, 0.765458, 0.130981, 0.000000, 0.000000, 0.000000]]
fourier: [[22.487563, 25.350418, 25.485867, 30.037207, 57.058708], [17.511618, 19.603999, 21.908879, 25.404471, 44.660471], [23.650668, 24.873447, 27.258866, 31.594015, 94.095713], [23.880653, 25.678394, 29.185357, 32.461995, 66.749560], [27.868907, 28.411773, 28.750813, 40.124437, 134.536776], [18.499546, 19.053512, 21.261077, 25.123143, 57.732733], [12.870320, 13.427783, 16.335014, 17.865192, 49.955223]]
### 8
mean: [1.337299, 1.208033, 0.191526, 1.244205, 0.941645, 0.503058, 0.918535]
std: [2.401665, 2.485729, 1.395754, 3.298768, 2.340611, 2.082327, 3.513048]
pca: [[-0.324204, 0.648371, -0.542364, 0.093677, 0.004526, 0.363562, 0.198429, 0.000000, 0.000000, 0.000000], [-0.351527, 0.516490, 0.487279, -0.333524, 0.167872, -0.179319, -0.447941, 0.000000, 0.000000, 0.000000], [0.208172, 0.104557, 0.112116, 0.753994, 0.167888, 0.254539, -0.521228, 0.000000, 0.000000, 0.000000], [0.481969, 0.474138, -0.034981, 0.133959, -0.491702, -0.527854, 0.057708, 0.000000, 0.000000, 0.000000], [0.346459, 0.247970, 0.285973, 0.060465, 0.664680, -0.024749, 0.539100, 0.000000, 0.000000, 0.000000], [-0.312814, 0.027726, 0.593527, 0.303218, -0.463027, 0.254349, 0.421990, 0.000000, 0.000000, 0.000000], [0.527071, 0.121883, 0.143361, -0.444901, -0.213654, 0.653408, -0.127519, 0.000000, 0.000000, 0.000000]]
fourier: [[34.970604, 35.160017, 41.688022, 49.286529, 120.356901], [35.097186, 37.748003, 45.230946, 50.326594, 108.723008], [18.973896, 21.390645, 21.850972, 24.081439, 28.111113], [47.771304, 51.795745, 56.224224, 66.228652, 111.978429], [34.956680, 36.315066, 40.267724, 47.171793, 84.748017], [30.486296, 34.796450, 36.618884, 41.339031, 45.275261], [53.043831, 57.924499, 60.049067, 70.903493, 82.668139]]
### 10
mean: [-0.256146]
std: [6.340308]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[82.916482, 88.655232, 105.919449, 115.448524, 125.335492]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": [[0.478498, -0.952721, 0.098269, -0.341614, 0.617972], [-0.210602, -0.454671, -0.379883, -0.154623, 0.08076], [-0.232658, -0.312636, 0.042207, 0.579578, 0.347474], [-0.324997, -0.030717, 0.096029, 0.294562, 0.185443], [-0.305599, -0.064958, 0.464637, -0.074076, -0.169593], [0.692136, 0.291304, -0.34497, 0.259506, -0.202216], [-0.563711, 0.248506, 0.390406, 0.023407, 0.473985]], "network.0.bias": [0.307146, -0.352557, -0.464772, -0.336952, 0.058722, -0.103314, -0.13332], "network.2.weight": [[0.03753, -0.065907, 0.547342, 0.189667, -0.099084, -0.394928, 0.408497], [-0.031081, -0.175947, 0.030695, 0.35214, 0.095435, -0.514154, 0.557759], [-0.052399, 0.502042, 0.116261, 0.415902, 0.139074, -0.465642, 0.342141], [-0.205017, 0.338011, 0.518872, -0.008963, 0.379576, -0.212541, -0.107126], [-0.125807, 0.146414, -0.843267, -0.498685, 0.556684, 0.2181, 0.393809], [-0.28355, 0.326961, -0.253088, 0.322549, 0.29392, -0.347452, 0.067046], [0.689283, -0.425563, -0.499042, -0.390365, -0.81013, -0.457159, -0.196975]], "network.2.bias": [-0.209149, -0.340146, -0.301401, -0.026397, -0.145422, -0.562507, 0.59185], "network.4.weight": [[-0.427357, -0.4379, -0.874038, -0.057152, -0.739565, -0.31499, 0.264833], [0.659011, 0.013826, 0.339159, -0.066675, 0.011275, -0.484167, 0.535635], [0.248677, -0.356313, -0.372169, 0.197799, -0.455802, -0.013673, 0.61115], [-0.321107, -0.493318, -0.251499, -0.35847, -0.393912, -0.071723, 0.806751], [0.536789, 0.605879, 0.222411, 0.32043, 0.446862, -0.011397, -0.224655], [0.169112, -0.484015, -0.340937, -0.580227, -0.609544, 0.014927, 0.732323], [0.492449, 0.121962, 0.145324, -0.43798, 0.343379, 0.113539, -0.466311]], "network.4.bias": [0.141467, -0.015341, 0.433399, 0.366467, 0.421521, 0.0324, 0.528146], "network.6.weight": [[0.184687, 0.011661, 0.630031, 0.536864, -0.216295, 0.789345, 0.180843], [0.617396, 0.559207, 0.193881, 0.385691, 0.006081, 0.203384, -0.605544], [0.377184, 0.548152, 0.482449, 0.766423, -0.01886, 0.309219, -0.175193], [0.596634, 0.755803, 0.059823, 0.447369, -0.156033, 0.746756, -0.435466], [0.156625, 0.418526, -0.476616, 0.064162, 0.667706, -0.903777, 0.505836], [0.554011, 0.192194, 0.289834, 0.203292, -0.049296, 0.748415, -0.257553], [-0.170753, 0.14778, -0.363965, -0.369478, 0.167204, -0.030073, 0.244706]], "network.6.bias": [0.111486, 0.280843, 0.31297, 0.401811, 0.498234, 0.369259, 0.423591], "network.8.weight": [[-0.305, 0.175711, -0.069328, -0.268611, 0.822878, -0.288561, 0.532282], [-0.656328, -0.550257, 0.121903, -0.042436, 0.76731, 0.00694, 0.329725], [0.243943, 0.253995, 0.295656, 0.184617, -0.186123, -0.096557, 0.023915], [0.325563, 0.616418, 0.542175, 0.51828, -0.073263, 0.318516, -0.218673], [0.271645, 0.063651, 0.411863, 0.550534, -0.066585, 0.183207, -0.383435], [-0.438648, -0.374322, 0.022578, -0.278737, 0.234219, -0.231263, 0.376475], [0.432845, 0.349384, 0.503206, 0.440805, -0.339294, 0.485293, -0.52004]], "network.8.bias": [0.285766, 0.424426, -0.171752, -0.107469, 0.162165, 0.704121, 0.213204], "network.10.weight": [[-0.533715, -0.461743, 0.057149, 0.830688, 0.309024, -0.710062, 0.457283]], "network.10.bias": [-0.024517]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6958867609500885, "train_acc": 0.465, "val_loss": 0.6897549629211426, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6864424347877502, "train_acc": 0.575, "val_loss": 0.6857141256332397, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6699639558792114, "train_acc": 0.575, "val_loss": 0.673880934715271, "val_acc": 0.58}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.624139279127121, "train_acc": 0.68, "val_loss": 0.643674910068512, "val_acc": 0.66}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5560081899166107, "train_acc": 0.725, "val_loss": 0.5738698840141296, "val_acc": 0.64}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.4780719131231308, "train_acc": 0.73, "val_loss": 0.5100404620170593, "val_acc": 0.62}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.36541615426540375, "train_acc": 0.74, "val_loss": 0.42615336179733276, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.2733566462993622, "train_acc": 0.87, "val_loss": 0.4237830638885498, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.27826251089572906, "train_acc": 0.82, "val_loss": 0.43859779834747314, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.21337122470140457, "train_acc": 0.865, "val_loss": 0.38679835200309753, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.1583051085472107, "train_acc": 0.925, "val_loss": 0.3532271981239319, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.12400203198194504, "train_acc": 0.965, "val_loss": 0.3304671347141266, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.09623697400093079, "train_acc": 0.985, "val_loss": 0.316846638917923, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.05534030310809612, "train_acc": 0.99, "val_loss": 0.29989901185035706, "val_acc": 0.94}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6897549629211426, "final_val_loss": 0.643674910068512, "initial_val_acc": 0.54, "final_val_acc": 0.66, "best_val_acc": 0.66}, "improved_stage": {"initial_val_loss": 0.5738698840141296, "final_val_loss": 0.29989901185035706, "initial_val_acc": 0.64, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 11}, "improvement": 0.2799999999999999, "first_improvement_epoch": 3}}
|
9,710
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.46, "improved_accuracy": 0.94, "improvement": 0.4799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2228, "learning_rate": 0.059602675080220005, "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.64789,
0.053946,
0.077297,
-0.824555,
0.376866
],
[
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0.047571,
0.628266,
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],
[
1.11761,
0.565482,
-0.197304,
0.205034,
-0.632182
],
[
0.974174,
0.328672,
-0.026858,
0.087704,
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],
[
0.465476,
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0.391942
],
[
-0.166611,
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-0.352791,
0.022949,
-0.433899
],
[
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],
"network.0.bias": [
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"network.2.weight": [
[
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[
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0.049492,
0.056132,
0.308482,
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],
[
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0.124482
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[
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0.146116
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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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[
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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": [
0.835253
]
}
## Activation Signature
### 0
mean: [-0.621575, 0.443280, 2.089711, 1.159454, 1.161532, -1.936568, -1.140077]
std: [2.354890, 1.855846, 2.838502, 2.257579, 1.453182, 1.432170, 1.693060]
pca: [[0.415659, 0.520107, 0.357339, -0.061636, -0.281323, 0.482292, -0.336866, 0.000000, 0.000000, 0.000000], [-0.303824, -0.424753, -0.327954, -0.253487, -0.279801, 0.679161, -0.126171, 0.000000, 0.000000, 0.000000], [0.592548, -0.504363, -0.101544, 0.196331, -0.507110, -0.261405, -0.141966, 0.000000, 0.000000, 0.000000], [0.513150, -0.281517, -0.062650, 0.039469, 0.732520, 0.339641, -0.000629, 0.000000, 0.000000, 0.000000], [0.290447, 0.228326, -0.277380, -0.145804, -0.203217, 0.156040, 0.836459, 0.000000, 0.000000, 0.000000], [-0.189453, -0.196016, 0.452324, 0.721240, -0.083827, 0.304771, 0.317787, 0.000000, 0.000000, 0.000000], [0.015195, -0.353391, 0.684823, -0.591942, -0.022322, -0.072203, 0.223148, 0.000000, 0.000000, 0.000000]]
fourier: [[35.374448, 35.710234, 38.364918, 42.706926, 55.941752], [26.438993, 26.880249, 28.000586, 35.563804, 39.895206], [45.814935, 47.238553, 48.012060, 52.804966, 188.074006], [34.944564, 35.382809, 40.344534, 40.687049, 104.350884], [24.520373, 25.494402, 27.047285, 30.593731, 104.537902], [25.464065, 25.803491, 27.486728, 29.631795, 174.291163], [26.951323, 29.471112, 29.834569, 36.162366, 102.606956]]
### 2
mean: [2.372459, 0.785317, -0.739760, -1.169088, 3.238755, 2.239977, 2.541275]
std: [2.800216, 1.418836, 0.315276, 2.371805, 3.603068, 2.772431, 3.068618]
pca: [[0.414588, -0.418725, -0.118455, 0.626909, 0.158809, -0.465187, -0.064194, 0.000000, 0.000000, 0.000000], [0.178850, -0.489462, 0.012140, -0.155512, 0.426081, 0.590338, -0.417211, 0.000000, 0.000000, 0.000000], [-0.038877, 0.034111, -0.342910, -0.264516, 0.711386, -0.164244, 0.526045, 0.000000, 0.000000, 0.000000], [-0.354546, -0.233218, 0.759833, 0.259062, 0.206207, 0.070622, 0.357685, 0.000000, 0.000000, 0.000000], [0.549351, -0.100872, 0.462964, -0.587235, -0.060384, -0.352960, 0.025102, 0.000000, 0.000000, 0.000000], [0.421937, -0.165477, -0.134076, 0.095684, -0.361508, 0.476320, 0.640224, 0.000000, 0.000000, 0.000000], [0.434854, 0.701416, 0.242024, 0.302851, 0.332129, 0.227328, -0.081463, 0.000000, 0.000000, 0.000000]]
fourier: [[47.147327, 48.477789, 51.031170, 54.151959, 213.521279], [23.532926, 24.556434, 24.797951, 29.233073, 70.678555], [4.889736, 5.379004, 5.548488, 6.708985, 66.578388], [37.561874, 37.603849, 38.926069, 40.212684, 105.217876], [59.897084, 60.198629, 62.812637, 63.199855, 291.487969], [45.797628, 47.796085, 49.062862, 49.983938, 201.597901], [45.829254, 50.657795, 54.362252, 56.320608, 228.714753]]
### 4
mean: [3.779392, 0.206188, 1.703263, 6.753326, 2.211189, 3.189571, 4.788102]
std: [4.477339, 0.592964, 2.298825, 7.450154, 3.121359, 4.191037, 5.598301]
pca: [[0.378039, -0.404725, 0.579558, -0.442948, -0.397702, 0.014468, 0.053083, 0.000000, 0.000000, 0.000000], [0.017265, -0.330558, 0.322981, 0.763886, -0.072184, 0.207684, -0.392749, 0.000000, 0.000000, 0.000000], [0.185800, 0.442951, 0.628826, 0.133897, 0.509307, -0.246715, 0.188837, 0.000000, 0.000000, 0.000000], [0.636402, 0.049864, -0.318324, 0.272236, -0.237411, -0.600248, -0.020052, 0.000000, 0.000000, 0.000000], [0.249082, 0.667583, 0.033831, -0.110709, -0.318687, 0.393204, -0.471931, 0.000000, 0.000000, 0.000000], [0.355715, -0.284120, -0.169877, -0.288681, 0.634547, 0.079134, -0.521188, 0.000000, 0.000000, 0.000000], [0.478209, -0.042957, -0.181771, 0.180669, 0.129053, 0.612063, 0.559029, 0.000000, 0.000000, 0.000000]]
fourier: [[70.055547, 75.104529, 75.423460, 75.963949, 340.145214], [9.191556, 9.405792, 9.785224, 11.233692, 18.556904], [39.506231, 40.518699, 42.431282, 45.068521, 153.293686], [124.416304, 128.447402, 130.053191, 130.115265, 607.799308], [54.018182, 54.424981, 56.700871, 62.777490, 199.006979], [65.575790, 71.248450, 71.264904, 71.850456, 287.061395], [92.647802, 94.828125, 97.329249, 97.492089, 430.929184]]
### 6
mean: [5.424574, -4.822566, 10.235186, -2.561529, 11.052761, 7.396367, 11.635530]
std: [6.530927, 5.670368, 12.375711, 2.450005, 13.041636, 8.818020, 13.853642]
pca: [[0.251772, 0.114059, -0.199148, 0.502558, 0.082551, 0.526628, -0.589258, 0.000000, 0.000000, 0.000000], [-0.217784, 0.476426, 0.686281, -0.232365, 0.300348, 0.072221, -0.324327, 0.000000, 0.000000, 0.000000], [0.477156, 0.111573, 0.197795, 0.074269, 0.367801, 0.411204, 0.640991, 0.000000, 0.000000, 0.000000], [-0.093279, -0.369885, 0.207895, 0.555935, 0.551916, -0.443700, -0.026796, 0.000000, 0.000000, 0.000000], [0.502443, -0.504307, 0.541458, -0.098867, -0.378941, -0.013738, -0.215615, 0.000000, 0.000000, 0.000000], [0.339168, 0.592346, 0.081090, 0.396936, -0.359560, -0.482410, 0.089191, 0.000000, 0.000000, 0.000000], [0.534152, 0.074476, -0.327510, -0.459923, 0.436127, -0.344355, -0.285580, 0.000000, 0.000000, 0.000000]]
fourier: [[108.439231, 110.717013, 113.737861, 114.363447, 488.211668], [98.016035, 100.136405, 100.321347, 102.153988, 434.030903], [205.991019, 210.956866, 215.936012, 216.632247, 921.166710], [38.154726, 40.997341, 41.463032, 41.516510, 230.537586], [222.269988, 228.707570, 228.963293, 229.651024, 994.748410], [144.509656, 147.842887, 151.929454, 152.663086, 665.673004], [230.722030, 237.050685, 241.725996, 242.863660, 1047.197830]]
### 8
mean: [-10.707862]
std: [13.813782]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[229.753400, 235.085290, 240.889492, 241.693908, 963.707575]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.64789,
0.053946,
0.077297,
-0.824555,
0.376866
],
[
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0.047571,
0.628266,
-0.284286
],
[
1.11761,
0.565482,
-0.197304,
0.205034,
-0.632182
],
[
0.974174,
0.328672,
-0.026858,
0.087704,
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],
[
0.465476,
0.156958,
0.077461,
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],
[
-0.166611,
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0.022949,
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],
[
-0.134358,
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-0.846465
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],
"network.0.bias": [
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-0.260921,
-0.000386,
-0.112924,
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"network.2.weight": [
[
0.378719,
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0.352824,
0.647717,
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0.056132,
0.308482,
0.059654,
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[
0.034384,
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0.063104,
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0.124482
],
[
0.019218,
0.433512,
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0.17053,
0.030505,
0.146116
],
[
0.609833,
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0.765279,
0.337689,
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0.0988
],
[
0.305283,
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0.163518,
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],
[
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0.126128,
0.369201,
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]
],
"network.2.bias": [
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"network.4.weight": [
[
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[
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[
0.341555,
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0.716998,
0.425347,
0.415842
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[
0.320145,
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0.04052,
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[
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[
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0.325969,
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"network.4.bias": [
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"network.6.weight": [
[
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[
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-0.106723,
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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": [
0.835253
]
}
## Activation Signature
### 0
mean: [-0.621575, 0.443280, 2.089711, 1.159454, 1.161532, -1.936568, -1.140077]
std: [2.354890, 1.855846, 2.838502, 2.257579, 1.453182, 1.432170, 1.693060]
pca: [[0.415659, 0.520107, 0.357339, -0.061636, -0.281323, 0.482292, -0.336866, 0.000000, 0.000000, 0.000000], [-0.303824, -0.424753, -0.327954, -0.253487, -0.279801, 0.679161, -0.126171, 0.000000, 0.000000, 0.000000], [0.592548, -0.504363, -0.101544, 0.196331, -0.507110, -0.261405, -0.141966, 0.000000, 0.000000, 0.000000], [0.513150, -0.281517, -0.062650, 0.039469, 0.732520, 0.339641, -0.000629, 0.000000, 0.000000, 0.000000], [0.290447, 0.228326, -0.277380, -0.145804, -0.203217, 0.156040, 0.836459, 0.000000, 0.000000, 0.000000], [-0.189453, -0.196016, 0.452324, 0.721240, -0.083827, 0.304771, 0.317787, 0.000000, 0.000000, 0.000000], [0.015195, -0.353391, 0.684823, -0.591942, -0.022322, -0.072203, 0.223148, 0.000000, 0.000000, 0.000000]]
fourier: [[35.374448, 35.710234, 38.364918, 42.706926, 55.941752], [26.438993, 26.880249, 28.000586, 35.563804, 39.895206], [45.814935, 47.238553, 48.012060, 52.804966, 188.074006], [34.944564, 35.382809, 40.344534, 40.687049, 104.350884], [24.520373, 25.494402, 27.047285, 30.593731, 104.537902], [25.464065, 25.803491, 27.486728, 29.631795, 174.291163], [26.951323, 29.471112, 29.834569, 36.162366, 102.606956]]
### 2
mean: [2.372459, 0.785317, -0.739760, -1.169088, 3.238755, 2.239977, 2.541275]
std: [2.800216, 1.418836, 0.315276, 2.371805, 3.603068, 2.772431, 3.068618]
pca: [[0.414588, -0.418725, -0.118455, 0.626909, 0.158809, -0.465187, -0.064194, 0.000000, 0.000000, 0.000000], [0.178850, -0.489462, 0.012140, -0.155512, 0.426081, 0.590338, -0.417211, 0.000000, 0.000000, 0.000000], [-0.038877, 0.034111, -0.342910, -0.264516, 0.711386, -0.164244, 0.526045, 0.000000, 0.000000, 0.000000], [-0.354546, -0.233218, 0.759833, 0.259062, 0.206207, 0.070622, 0.357685, 0.000000, 0.000000, 0.000000], [0.549351, -0.100872, 0.462964, -0.587235, -0.060384, -0.352960, 0.025102, 0.000000, 0.000000, 0.000000], [0.421937, -0.165477, -0.134076, 0.095684, -0.361508, 0.476320, 0.640224, 0.000000, 0.000000, 0.000000], [0.434854, 0.701416, 0.242024, 0.302851, 0.332129, 0.227328, -0.081463, 0.000000, 0.000000, 0.000000]]
fourier: [[47.147327, 48.477789, 51.031170, 54.151959, 213.521279], [23.532926, 24.556434, 24.797951, 29.233073, 70.678555], [4.889736, 5.379004, 5.548488, 6.708985, 66.578388], [37.561874, 37.603849, 38.926069, 40.212684, 105.217876], [59.897084, 60.198629, 62.812637, 63.199855, 291.487969], [45.797628, 47.796085, 49.062862, 49.983938, 201.597901], [45.829254, 50.657795, 54.362252, 56.320608, 228.714753]]
### 4
mean: [3.779392, 0.206188, 1.703263, 6.753326, 2.211189, 3.189571, 4.788102]
std: [4.477339, 0.592964, 2.298825, 7.450154, 3.121359, 4.191037, 5.598301]
pca: [[0.378039, -0.404725, 0.579558, -0.442948, -0.397702, 0.014468, 0.053083, 0.000000, 0.000000, 0.000000], [0.017265, -0.330558, 0.322981, 0.763886, -0.072184, 0.207684, -0.392749, 0.000000, 0.000000, 0.000000], [0.185800, 0.442951, 0.628826, 0.133897, 0.509307, -0.246715, 0.188837, 0.000000, 0.000000, 0.000000], [0.636402, 0.049864, -0.318324, 0.272236, -0.237411, -0.600248, -0.020052, 0.000000, 0.000000, 0.000000], [0.249082, 0.667583, 0.033831, -0.110709, -0.318687, 0.393204, -0.471931, 0.000000, 0.000000, 0.000000], [0.355715, -0.284120, -0.169877, -0.288681, 0.634547, 0.079134, -0.521188, 0.000000, 0.000000, 0.000000], [0.478209, -0.042957, -0.181771, 0.180669, 0.129053, 0.612063, 0.559029, 0.000000, 0.000000, 0.000000]]
fourier: [[70.055547, 75.104529, 75.423460, 75.963949, 340.145214], [9.191556, 9.405792, 9.785224, 11.233692, 18.556904], [39.506231, 40.518699, 42.431282, 45.068521, 153.293686], [124.416304, 128.447402, 130.053191, 130.115265, 607.799308], [54.018182, 54.424981, 56.700871, 62.777490, 199.006979], [65.575790, 71.248450, 71.264904, 71.850456, 287.061395], [92.647802, 94.828125, 97.329249, 97.492089, 430.929184]]
### 6
mean: [5.424574, -4.822566, 10.235186, -2.561529, 11.052761, 7.396367, 11.635530]
std: [6.530927, 5.670368, 12.375711, 2.450005, 13.041636, 8.818020, 13.853642]
pca: [[0.251772, 0.114059, -0.199148, 0.502558, 0.082551, 0.526628, -0.589258, 0.000000, 0.000000, 0.000000], [-0.217784, 0.476426, 0.686281, -0.232365, 0.300348, 0.072221, -0.324327, 0.000000, 0.000000, 0.000000], [0.477156, 0.111573, 0.197795, 0.074269, 0.367801, 0.411204, 0.640991, 0.000000, 0.000000, 0.000000], [-0.093279, -0.369885, 0.207895, 0.555935, 0.551916, -0.443700, -0.026796, 0.000000, 0.000000, 0.000000], [0.502443, -0.504307, 0.541458, -0.098867, -0.378941, -0.013738, -0.215615, 0.000000, 0.000000, 0.000000], [0.339168, 0.592346, 0.081090, 0.396936, -0.359560, -0.482410, 0.089191, 0.000000, 0.000000, 0.000000], [0.534152, 0.074476, -0.327510, -0.459923, 0.436127, -0.344355, -0.285580, 0.000000, 0.000000, 0.000000]]
fourier: [[108.439231, 110.717013, 113.737861, 114.363447, 488.211668], [98.016035, 100.136405, 100.321347, 102.153988, 434.030903], [205.991019, 210.956866, 215.936012, 216.632247, 921.166710], [38.154726, 40.997341, 41.463032, 41.516510, 230.537586], [222.269988, 228.707570, 228.963293, 229.651024, 994.748410], [144.509656, 147.842887, 151.929454, 152.663086, 665.673004], [230.722030, 237.050685, 241.725996, 242.863660, 1047.197830]]
### 8
mean: [-10.707862]
std: [13.813782]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[229.753400, 235.085290, 240.889492, 241.693908, 963.707575]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
mountain_pattern
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 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": [[0.64789, 0.053946, 0.077297, -0.824555, 0.376866], [-0.563561, 0.098893, 0.047571, 0.628266, -0.284286], [1.11761, 0.565482, -0.197304, 0.205034, -0.632182], [0.974174, 0.328672, -0.026858, 0.087704, -0.423905], [0.465476, 0.156958, 0.077461, -0.162539, 0.391942], [-0.166611, -0.21591, -0.352791, 0.022949, -0.433899], [-0.134358, 0.217167, 0.230037, -0.182247, -0.846465]], "network.0.bias": [-0.384195, -0.131639, 0.420628, -0.260921, -0.000386, -0.112924, -0.414332], "network.2.weight": [[0.378719, -0.381635, 0.337029, 0.352824, 0.647717, 0.180083, -0.403053], [0.608923, -0.210145, 0.049492, 0.056132, 0.308482, 0.059654, -0.290438], [0.034384, -0.132418, 0.063104, -0.137688, -0.193903, 0.123033, 0.124482], [0.019218, 0.433512, -0.485768, -0.582693, 0.17053, 0.030505, 0.146116], [0.609833, -0.198733, 0.765279, 0.337689, 0.403447, -0.144888, 0.0988], [0.305283, -0.306555, 0.351213, 0.578899, 0.330174, 0.163518, -0.305754], [-0.523248, -0.04542, 0.753428, 0.637808, 0.126128, 0.369201, 0.8777]], "network.2.bias": [0.48262, 0.063945, -0.368434, 0.121993, 0.298724, 0.34887, 0.0224], "network.4.weight": [[-0.01994, -0.054029, -0.083651, -0.346965, 0.795297, 0.147864, 0.445371], [0.020815, 0.097264, 0.040389, -0.328787, -0.093878, -0.326926, 0.446265], [0.341555, 0.356626, -0.265291, -0.365686, 0.465074, -0.032712, -0.291718], [0.712015, 0.446333, -0.241673, -0.613371, 0.716998, 0.425347, 0.415842], [0.320145, 0.3639, 0.04052, -0.223963, 0.382621, 0.60006, -0.524747], [0.243314, 0.273997, -0.082535, -0.180518, 0.400995, 0.046812, 0.573444], [0.429392, 0.523844, 0.33813, -0.454154, 0.42945, 0.325969, 0.473812]], "network.4.bias": [-0.107024, 0.028846, -0.044055, 0.437961, -0.075371, -0.467977, 0.053716], "network.6.weight": [[0.312516, -0.056412, 0.284993, 0.263971, 0.118752, 0.434475, 0.077059], [-0.028951, 0.189121, -0.294343, -0.35618, -0.311113, -0.106723, -0.165231], [0.682172, 0.356746, 0.253002, 0.619397, 0.574431, 0.581563, 0.007993], [-0.064801, -0.158197, 0.370786, -0.36313, -0.022418, -0.10815, 0.056502], [0.719824, 0.420848, 0.698208, 0.771765, 0.667452, 0.044094, 0.068006], [0.595287, 0.089112, 0.169932, 0.159166, -0.001503, 0.392351, 0.531267], [0.33777, 0.368727, 0.183947, 0.685641, 0.553319, 0.744473, 0.372227]], "network.6.bias": [-0.039225, -0.032037, -0.278073, -0.323244, -0.19759, -0.051405, -0.126225], "network.8.weight": [[-0.253951, -0.151483, -0.482286, -0.04288, -0.253188, -0.354138, 0.016364]], "network.8.bias": [0.835253]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6760388910770416, "train_acc": 0.5, "val_loss": 0.7423942685127258, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6321542859077454, "train_acc": 0.59, "val_loss": 0.6016979813575745, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5579336285591125, "train_acc": 0.55, "val_loss": 0.4139608144760132, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.40465180575847626, "train_acc": 0.915, "val_loss": 0.3957252502441406, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3777591586112976, "train_acc": 0.895, "val_loss": 0.3673880398273468, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.34798741340637207, "train_acc": 0.925, "val_loss": 0.3278425633907318, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3031846880912781, "train_acc": 0.915, "val_loss": 0.2771771252155304, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2872762829065323, "train_acc": 0.91, "val_loss": 0.27391645312309265, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.27567410469055176, "train_acc": 0.925, "val_loss": 0.27329739928245544, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.24701041728258133, "train_acc": 0.915, "val_loss": 0.2519555389881134, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.21733076125383377, "train_acc": 0.94, "val_loss": 0.22794879972934723, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.21699030697345734, "train_acc": 0.97, "val_loss": 0.24945740401744843, "val_acc": 0.92}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.7423942685127258, "final_val_loss": 0.6016979813575745, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.4139608144760132, "final_val_loss": 0.24945740401744843, "initial_val_acc": 0.88, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 6}, "improvement": 0.4799999999999999, "first_improvement_epoch": 1}}
|
9,711
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.5, "improved_accuracy": 0.9, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9753, "learning_rate": 0.02355747140701636, "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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"network.0.bias": [
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"network.2.weight": [
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## Activation Signature
### 0
mean: [-0.334897, 1.177292, 0.923927, 1.579318, 2.107854, 1.048378, -2.420062, 1.082114]
std: [1.098555, 1.646756, 1.065362, 1.896346, 1.706735, 1.824074, 1.523797, 1.195264]
pca: [[-0.021736, 0.493056, -0.429065, 0.064163, 0.595015, -0.349159, 0.301152, 0.039525, 0.000000, 0.000000], [0.447457, -0.102583, -0.207546, -0.340550, -0.242780, -0.459678, 0.002577, -0.599964, 0.000000, 0.000000], [0.134601, 0.397776, 0.054539, 0.671233, -0.507551, -0.013864, 0.299612, -0.150202, 0.000000, 0.000000], [0.511338, -0.320651, 0.040220, 0.247515, 0.014800, -0.440409, -0.053854, 0.612989, 0.000000, 0.000000], [0.406527, 0.452843, -0.001658, -0.531631, -0.239172, 0.329689, 0.204663, 0.373162, 0.000000, 0.000000], [0.490451, -0.315135, -0.010269, 0.199811, 0.405930, 0.526222, 0.335844, -0.256198, 0.000000, 0.000000], [-0.311272, -0.423037, -0.499104, -0.096971, -0.306623, 0.017292, 0.581798, 0.181209, 0.000000, 0.000000], [-0.130493, -0.044640, 0.720433, -0.190082, 0.114839, -0.294498, 0.568741, -0.049407, 0.000000, 0.000000]]
fourier: [[15.014144, 18.456154, 19.359783, 23.990688, 30.140702], [25.770588, 30.153057, 30.455608, 33.543707, 105.956301], [17.031895, 18.221938, 18.891221, 21.790348, 83.153445], [30.994032, 34.269435, 36.253647, 37.724769, 142.138631], [27.560315, 29.904640, 29.922384, 32.652369, 189.706880], [30.303399, 33.057335, 33.248428, 38.349169, 94.353986], [22.652638, 25.225743, 26.790234, 31.063462, 217.805541], [18.165331, 20.407776, 22.166196, 22.369165, 97.390265]]
### 2
mean: [0.259777, -0.124273, -0.008044, -0.426238, -0.237542, 1.384091, -0.091426, 2.072708]
std: [0.894357, 0.345538, 0.952123, 0.257628, 0.340650, 2.066350, 0.630501, 1.926544]
pca: [[0.273145, 0.308352, -0.175951, -0.567153, 0.418874, 0.191815, 0.242260, 0.454699, 0.000000, 0.000000], [0.099571, -0.182534, 0.060389, -0.119665, -0.326829, -0.415552, 0.811772, -0.018047, 0.000000, 0.000000], [-0.237344, 0.729655, 0.506298, 0.207910, -0.180627, -0.075852, 0.080362, 0.258589, 0.000000, 0.000000], [-0.033086, 0.052310, -0.251831, 0.571542, 0.128859, 0.600602, 0.477547, -0.026658, 0.000000, 0.000000], [0.075922, -0.222922, 0.055615, 0.474898, 0.532549, -0.485435, -0.017806, 0.443112, 0.000000, 0.000000], [0.666326, 0.014718, 0.566392, 0.062292, 0.237124, 0.117072, 0.035134, -0.399931, 0.000000, 0.000000], [0.162833, -0.440720, 0.335868, 0.002064, -0.399945, 0.376872, -0.098612, 0.595589, 0.000000, 0.000000], [0.617885, 0.303846, -0.457096, 0.254397, -0.410737, -0.180726, -0.191183, 0.119685, 0.000000, 0.000000]]
fourier: [[14.669090, 15.284682, 16.537428, 19.538029, 23.379915], [5.529536, 5.664829, 5.707106, 6.302766, 11.184597], [13.731449, 13.783811, 14.331145, 14.484141, 14.592636], [3.806889, 3.843010, 4.033623, 4.549954, 38.361422], [5.609772, 5.785102, 6.308743, 7.348985, 21.378774], [35.996567, 36.206302, 36.547833, 39.567126, 124.568221], [9.820725, 9.886223, 10.011948, 11.056348, 11.098281], [35.358496, 35.482325, 35.894147, 39.894688, 186.543723]]
### 4
mean: [-0.741343, 1.573394, -0.791929, 1.209244, -0.366310, -0.678385, 0.365869, -0.703721]
std: [0.589083, 1.769538, 1.035996, 1.787223, 0.375891, 0.931862, 0.743555, 0.686431]
pca: [[-0.179063, 0.561045, 0.505094, -0.221173, 0.148997, -0.066871, -0.242700, -0.513373, 0.000000, 0.000000], [0.568555, -0.327619, 0.320281, 0.440563, 0.346111, -0.271346, -0.195286, -0.202921, 0.000000, 0.000000], [-0.331778, 0.012696, -0.499287, 0.504127, -0.195607, -0.138140, -0.357303, -0.448687, 0.000000, 0.000000], [0.575229, 0.202312, -0.236750, -0.167536, -0.199473, 0.527929, -0.472952, -0.043362, 0.000000, 0.000000], [-0.108140, 0.468452, 0.216332, 0.621181, 0.061609, 0.220386, -0.087632, 0.525498, 0.000000, 0.000000], [-0.298911, -0.248749, -0.115744, -0.020713, 0.717518, 0.551215, -0.083140, -0.096790, 0.000000, 0.000000], [0.238175, 0.227029, -0.088921, 0.265560, -0.035421, 0.303342, 0.730380, -0.431944, 0.000000, 0.000000], [-0.214352, -0.451594, 0.518516, 0.134007, -0.509973, 0.423892, -0.059699, -0.141345, 0.000000, 0.000000]]
fourier: [[9.763468, 10.747601, 11.225225, 12.421143, 66.720910], [30.255089, 31.244760, 32.129518, 34.221834, 141.605419], [17.292332, 18.363345, 18.749019, 20.316025, 71.273582], [29.219499, 32.154813, 33.230277, 35.483728, 108.831994], [6.377263, 6.415564, 7.893200, 8.392551, 32.967877], [16.251078, 16.482159, 16.753245, 17.513222, 61.054608], [12.713574, 13.187780, 13.770054, 14.199055, 32.928183], [11.495846, 12.428700, 13.046727, 13.144241, 63.334904]]
### 6
mean: [-0.157503, 0.499162, -0.510501, -0.431095, 0.889808, -0.565988, -0.708912, 0.937257]
std: [0.564095, 0.834533, 0.442568, 0.477459, 1.236590, 0.444652, 1.197010, 0.680337]
pca: [[-0.251146, 0.007930, -0.011543, 0.358897, -0.260457, 0.763934, -0.063808, 0.390407, 0.000000, 0.000000], [0.370836, 0.408158, 0.020450, 0.684834, 0.267465, 0.072010, -0.091224, -0.376070, 0.000000, 0.000000], [-0.196939, 0.041004, 0.774984, 0.127726, -0.075316, -0.051727, 0.572956, -0.077413, 0.000000, 0.000000], [-0.210092, 0.574068, 0.202154, -0.472540, -0.136320, 0.279351, -0.327808, -0.397579, 0.000000, 0.000000], [0.550274, -0.310302, 0.548045, -0.077520, -0.125864, 0.071841, -0.503682, 0.140892, 0.000000, 0.000000], [-0.196821, -0.377867, 0.105995, -0.132292, 0.781662, 0.368740, -0.045702, -0.201715, 0.000000, 0.000000], [-0.532885, 0.137607, 0.209248, 0.269340, 0.203785, -0.431645, -0.506273, 0.310824, 0.000000, 0.000000], [0.301624, 0.494067, 0.051075, -0.257940, 0.409882, 0.055315, 0.199435, 0.620437, 0.000000, 0.000000]]
fourier: [[9.342426, 10.068519, 10.490517, 10.738975, 14.175287], [13.791516, 14.926550, 15.452296, 15.821740, 44.924566], [7.461930, 7.834785, 8.194079, 8.260031, 45.945082], [8.369063, 8.514572, 8.662005, 8.976174, 38.798543], [20.513836, 22.209295, 23.124691, 23.405397, 80.082768], [7.613509, 7.890725, 8.130765, 8.481678, 50.938893], [19.879146, 21.403287, 22.289307, 22.627474, 63.802088], [11.565186, 12.067170, 12.488980, 13.056697, 84.353103]]
### 8
mean: [-0.468437]
std: [0.805773]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.014127, 14.425732, 15.060822, 15.327214, 42.159359]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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}
## Activation Signature
### 0
mean: [-0.334897, 1.177292, 0.923927, 1.579318, 2.107854, 1.048378, -2.420062, 1.082114]
std: [1.098555, 1.646756, 1.065362, 1.896346, 1.706735, 1.824074, 1.523797, 1.195264]
pca: [[-0.021736, 0.493056, -0.429065, 0.064163, 0.595015, -0.349159, 0.301152, 0.039525, 0.000000, 0.000000], [0.447457, -0.102583, -0.207546, -0.340550, -0.242780, -0.459678, 0.002577, -0.599964, 0.000000, 0.000000], [0.134601, 0.397776, 0.054539, 0.671233, -0.507551, -0.013864, 0.299612, -0.150202, 0.000000, 0.000000], [0.511338, -0.320651, 0.040220, 0.247515, 0.014800, -0.440409, -0.053854, 0.612989, 0.000000, 0.000000], [0.406527, 0.452843, -0.001658, -0.531631, -0.239172, 0.329689, 0.204663, 0.373162, 0.000000, 0.000000], [0.490451, -0.315135, -0.010269, 0.199811, 0.405930, 0.526222, 0.335844, -0.256198, 0.000000, 0.000000], [-0.311272, -0.423037, -0.499104, -0.096971, -0.306623, 0.017292, 0.581798, 0.181209, 0.000000, 0.000000], [-0.130493, -0.044640, 0.720433, -0.190082, 0.114839, -0.294498, 0.568741, -0.049407, 0.000000, 0.000000]]
fourier: [[15.014144, 18.456154, 19.359783, 23.990688, 30.140702], [25.770588, 30.153057, 30.455608, 33.543707, 105.956301], [17.031895, 18.221938, 18.891221, 21.790348, 83.153445], [30.994032, 34.269435, 36.253647, 37.724769, 142.138631], [27.560315, 29.904640, 29.922384, 32.652369, 189.706880], [30.303399, 33.057335, 33.248428, 38.349169, 94.353986], [22.652638, 25.225743, 26.790234, 31.063462, 217.805541], [18.165331, 20.407776, 22.166196, 22.369165, 97.390265]]
### 2
mean: [0.259777, -0.124273, -0.008044, -0.426238, -0.237542, 1.384091, -0.091426, 2.072708]
std: [0.894357, 0.345538, 0.952123, 0.257628, 0.340650, 2.066350, 0.630501, 1.926544]
pca: [[0.273145, 0.308352, -0.175951, -0.567153, 0.418874, 0.191815, 0.242260, 0.454699, 0.000000, 0.000000], [0.099571, -0.182534, 0.060389, -0.119665, -0.326829, -0.415552, 0.811772, -0.018047, 0.000000, 0.000000], [-0.237344, 0.729655, 0.506298, 0.207910, -0.180627, -0.075852, 0.080362, 0.258589, 0.000000, 0.000000], [-0.033086, 0.052310, -0.251831, 0.571542, 0.128859, 0.600602, 0.477547, -0.026658, 0.000000, 0.000000], [0.075922, -0.222922, 0.055615, 0.474898, 0.532549, -0.485435, -0.017806, 0.443112, 0.000000, 0.000000], [0.666326, 0.014718, 0.566392, 0.062292, 0.237124, 0.117072, 0.035134, -0.399931, 0.000000, 0.000000], [0.162833, -0.440720, 0.335868, 0.002064, -0.399945, 0.376872, -0.098612, 0.595589, 0.000000, 0.000000], [0.617885, 0.303846, -0.457096, 0.254397, -0.410737, -0.180726, -0.191183, 0.119685, 0.000000, 0.000000]]
fourier: [[14.669090, 15.284682, 16.537428, 19.538029, 23.379915], [5.529536, 5.664829, 5.707106, 6.302766, 11.184597], [13.731449, 13.783811, 14.331145, 14.484141, 14.592636], [3.806889, 3.843010, 4.033623, 4.549954, 38.361422], [5.609772, 5.785102, 6.308743, 7.348985, 21.378774], [35.996567, 36.206302, 36.547833, 39.567126, 124.568221], [9.820725, 9.886223, 10.011948, 11.056348, 11.098281], [35.358496, 35.482325, 35.894147, 39.894688, 186.543723]]
### 4
mean: [-0.741343, 1.573394, -0.791929, 1.209244, -0.366310, -0.678385, 0.365869, -0.703721]
std: [0.589083, 1.769538, 1.035996, 1.787223, 0.375891, 0.931862, 0.743555, 0.686431]
pca: [[-0.179063, 0.561045, 0.505094, -0.221173, 0.148997, -0.066871, -0.242700, -0.513373, 0.000000, 0.000000], [0.568555, -0.327619, 0.320281, 0.440563, 0.346111, -0.271346, -0.195286, -0.202921, 0.000000, 0.000000], [-0.331778, 0.012696, -0.499287, 0.504127, -0.195607, -0.138140, -0.357303, -0.448687, 0.000000, 0.000000], [0.575229, 0.202312, -0.236750, -0.167536, -0.199473, 0.527929, -0.472952, -0.043362, 0.000000, 0.000000], [-0.108140, 0.468452, 0.216332, 0.621181, 0.061609, 0.220386, -0.087632, 0.525498, 0.000000, 0.000000], [-0.298911, -0.248749, -0.115744, -0.020713, 0.717518, 0.551215, -0.083140, -0.096790, 0.000000, 0.000000], [0.238175, 0.227029, -0.088921, 0.265560, -0.035421, 0.303342, 0.730380, -0.431944, 0.000000, 0.000000], [-0.214352, -0.451594, 0.518516, 0.134007, -0.509973, 0.423892, -0.059699, -0.141345, 0.000000, 0.000000]]
fourier: [[9.763468, 10.747601, 11.225225, 12.421143, 66.720910], [30.255089, 31.244760, 32.129518, 34.221834, 141.605419], [17.292332, 18.363345, 18.749019, 20.316025, 71.273582], [29.219499, 32.154813, 33.230277, 35.483728, 108.831994], [6.377263, 6.415564, 7.893200, 8.392551, 32.967877], [16.251078, 16.482159, 16.753245, 17.513222, 61.054608], [12.713574, 13.187780, 13.770054, 14.199055, 32.928183], [11.495846, 12.428700, 13.046727, 13.144241, 63.334904]]
### 6
mean: [-0.157503, 0.499162, -0.510501, -0.431095, 0.889808, -0.565988, -0.708912, 0.937257]
std: [0.564095, 0.834533, 0.442568, 0.477459, 1.236590, 0.444652, 1.197010, 0.680337]
pca: [[-0.251146, 0.007930, -0.011543, 0.358897, -0.260457, 0.763934, -0.063808, 0.390407, 0.000000, 0.000000], [0.370836, 0.408158, 0.020450, 0.684834, 0.267465, 0.072010, -0.091224, -0.376070, 0.000000, 0.000000], [-0.196939, 0.041004, 0.774984, 0.127726, -0.075316, -0.051727, 0.572956, -0.077413, 0.000000, 0.000000], [-0.210092, 0.574068, 0.202154, -0.472540, -0.136320, 0.279351, -0.327808, -0.397579, 0.000000, 0.000000], [0.550274, -0.310302, 0.548045, -0.077520, -0.125864, 0.071841, -0.503682, 0.140892, 0.000000, 0.000000], [-0.196821, -0.377867, 0.105995, -0.132292, 0.781662, 0.368740, -0.045702, -0.201715, 0.000000, 0.000000], [-0.532885, 0.137607, 0.209248, 0.269340, 0.203785, -0.431645, -0.506273, 0.310824, 0.000000, 0.000000], [0.301624, 0.494067, 0.051075, -0.257940, 0.409882, 0.055315, 0.199435, 0.620437, 0.000000, 0.000000]]
fourier: [[9.342426, 10.068519, 10.490517, 10.738975, 14.175287], [13.791516, 14.926550, 15.452296, 15.821740, 44.924566], [7.461930, 7.834785, 8.194079, 8.260031, 45.945082], [8.369063, 8.514572, 8.662005, 8.976174, 38.798543], [20.513836, 22.209295, 23.124691, 23.405397, 80.082768], [7.613509, 7.890725, 8.130765, 8.481678, 50.938893], [19.879146, 21.403287, 22.289307, 22.627474, 63.802088], [11.565186, 12.067170, 12.488980, 13.056697, 84.353103]]
### 8
mean: [-0.468437]
std: [0.805773]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.014127, 14.425732, 15.060822, 15.327214, 42.159359]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": [[0.303547, 0.000477, -0.368258, 0.293493, -0.306398], [0.533247, 0.24302, -0.166197, -0.189669, 0.537372], [0.196517, 0.325483, 0.124562, 0.143936, -0.263116], [0.556092, 0.209467, 0.216003, -0.333517, 0.438342], [0.481676, 0.317297, -0.189624, 0.28007, 0.427177], [0.596683, 0.113769, 0.177882, -0.295246, 0.408784], [-0.288457, -0.170454, -0.331823, -0.383145, -0.134235], [-0.444613, -0.159976, 0.453218, 0.203548, 0.082128]], "network.0.bias": [-0.195753, 0.162001, -0.158079, 0.228977, 0.198908, -0.144077, -0.070157, 0.442411], "network.2.weight": [[0.062172, 0.060174, -0.373822, 0.275007, 0.119953, 0.138692, 0.227101, -0.095902], [0.279829, 0.207932, 0.104974, -0.150192, -0.06536, 0.16777, -0.212157, -0.034218], [-0.359843, -0.26173, 0.079696, 0.255742, -0.315649, -0.105073, -0.320218, 0.442172], [-0.456974, -0.040281, 0.001398, -0.199034, 0.184347, 0.063339, -0.013698, 0.040515], [-0.256371, 0.375599, 0.304367, -0.199312, -0.079312, -0.018514, 0.12581, -0.120407], [0.020119, 0.238494, 0.235166, 0.299099, 0.022033, 0.581763, 0.185689, -0.341373], [0.296533, -0.148681, 0.237413, -0.04879, 0.055817, 0.322225, -0.089958, -0.257389], [0.02237, 0.505596, -0.258289, 0.315545, 0.346911, 0.148808, 0.127491, -0.001195]], "network.2.bias": [-0.238762, -0.353987, 0.195062, -0.441573, -0.291908, -0.032365, -0.342445, 0.207231], "network.4.weight": [[0.116916, 0.154783, 0.236952, 0.013479, 0.178219, 0.136789, -0.263895, -0.422604], [0.217761, -0.082687, -0.341213, 0.054255, 0.119426, 0.417406, -0.216328, 0.412835], [-0.461966, -0.018192, 0.004287, 0.047112, 0.104527, -0.219643, -0.030855, -0.145879], [0.118674, 0.207897, -0.094793, 0.272356, -0.115926, 0.382532, 0.380872, 0.407486], [-0.269423, -0.017214, 0.02473, -0.068148, 0.1581, 0.274221, -0.356008, -0.304654], [-0.302679, -0.278069, 0.088436, 0.059179, -0.302971, -0.256786, -0.068353, -0.047728], [-0.071828, -0.092847, -0.065029, -0.039888, 0.010813, 0.270625, 0.127912, 0.111104], [0.175972, -0.157712, -0.124955, -0.034803, -0.33702, -0.149867, -0.343656, -0.181108]], "network.4.bias": [-0.178507, 0.18183, 0.051408, -0.319182, 0.054173, -0.029516, -0.223112, -0.027133], "network.6.weight": [[-0.151107, -0.139217, 0.324769, -0.140216, -0.147652, 0.129836, -0.112849, 0.103027], [-0.12551, 0.443281, 0.252304, -0.006843, -0.324308, 0.363101, 0.102356, 0.465244], [0.004416, -0.124615, -0.148319, -0.019136, -0.171062, 0.309199, -0.279397, -0.162374], [0.189955, 0.128389, 0.030663, -0.263245, -0.295593, -0.186745, -0.357951, 0.101861], [-0.070332, 0.163371, -0.000977, 0.448844, 0.208366, 0.224369, 0.25598, -0.178509], [0.277722, -0.307595, 0.102137, 0.061017, 0.33338, -0.065205, -0.012072, 0.048086], [0.037076, -0.257313, -0.206241, -0.293471, -0.119133, 0.143577, -0.349542, -0.202816], [0.259886, 0.414533, 0.078836, -0.021727, -0.237686, -0.094899, -0.018298, -0.031743]], "network.6.bias": [0.292072, -0.242704, -0.164978, -0.135686, -0.059183, -0.151442, 0.229926, 0.317196], "network.8.weight": [[0.203463, -0.320132, 0.138505, 0.073449, -0.289753, -0.196313, 0.063336, -0.259588]], "network.8.bias": [0.184587]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7119725048542023, "train_acc": 0.425, "val_loss": 0.680035412311554, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6796790063381195, "train_acc": 0.635, "val_loss": 0.6684920787811279, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6545293927192688, "train_acc": 0.575, "val_loss": 0.6607099771499634, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6386711895465851, "train_acc": 0.575, "val_loss": 0.6199886798858643, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6448524296283722, "train_acc": 0.5, "val_loss": 0.5724246501922607, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5904517769813538, "train_acc": 0.72, "val_loss": 0.5100885629653931, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5347642302513123, "train_acc": 0.82, "val_loss": 0.45208799839019775, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4462258070707321, "train_acc": 0.825, "val_loss": 0.42476776242256165, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4434141218662262, "train_acc": 0.83, "val_loss": 0.3944193720817566, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.40974289178848267, "train_acc": 0.815, "val_loss": 0.35385972261428833, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.36889855563640594, "train_acc": 0.845, "val_loss": 0.3194440007209778, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.35927048325538635, "train_acc": 0.865, "val_loss": 0.29472631216049194, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.326745867729187, "train_acc": 0.855, "val_loss": 0.29924240708351135, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.313126340508461, "train_acc": 0.865, "val_loss": 0.29607126116752625, "val_acc": 0.88}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.680035412311554, "final_val_loss": 0.6199886798858643, "initial_val_acc": 0.6, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5724246501922607, "final_val_loss": 0.29607126116752625, "initial_val_acc": 0.7, "final_val_acc": 0.88, "best_val_acc": 0.9, "best_epoch": 5}, "improvement": 0.4, "first_improvement_epoch": 3}}
|
9,712
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.54, "improved_accuracy": 0.78, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1724, "learning_rate": 0.0575182299302694, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.395372,
0.327694,
0.036174,
-0.316828,
0.283717,
0.517209,
0.565626
],
[
-0.35494,
0.14204,
-0.271816,
-0.367118,
0.028543,
0.164667,
0.226369
],
[
-0.113487,
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-0.382229,
0.053491,
0.168105,
0.187445,
0.316815
],
[
-0.463138,
0.402375,
-0.37644,
-0.582444,
0.029104,
0.522284,
0.312712
],
[
-0.102583,
0.59992,
0.112093,
-0.117429,
0.142132,
0.034301,
0.843769
]
],
"network.8.bias": [
0.348629,
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-0.244497,
0.133701,
0.099416,
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],
"network.10.weight": [
[
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0.060675,
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]
],
"network.10.bias": [
0.277431
]
}
## Activation Signature
### 0
mean: [-0.406823, -0.171684, 0.089811, 0.450782, 1.893266, 0.438578, 1.033090]
std: [1.596052, 0.781334, 2.069060, 1.529602, 1.980715, 1.256356, 1.431926]
pca: [[0.404085, -0.430141, 0.082217, 0.580683, 0.046856, -0.148433, 0.532461, 0.000000, 0.000000, 0.000000], [0.143239, -0.202996, -0.148702, -0.447249, 0.815448, -0.196902, 0.111375, 0.000000, 0.000000, 0.000000], [-0.055877, 0.803104, -0.223232, 0.308733, 0.238148, -0.245595, 0.299536, 0.000000, 0.000000, 0.000000], [0.504854, 0.200276, -0.189698, -0.472967, -0.303263, 0.380679, 0.456557, 0.000000, 0.000000, 0.000000], [0.379181, 0.290262, 0.852239, -0.052551, 0.150313, -0.005686, -0.142373, 0.000000, 0.000000, 0.000000], [-0.442266, -0.013865, 0.212264, 0.133111, 0.318660, 0.732033, 0.322518, 0.000000, 0.000000, 0.000000], [-0.467784, -0.065118, 0.337554, -0.351114, -0.245004, -0.445039, 0.530685, 0.000000, 0.000000, 0.000000]]
fourier: [[24.411150, 27.951368, 28.518523, 32.472449, 36.614066], [11.434928, 13.323163, 14.401934, 15.451563, 15.455143], [28.987399, 32.817665, 33.125417, 35.887646, 39.471660], [26.222986, 26.250607, 26.856237, 31.439420, 40.570341], [30.863203, 31.178923, 36.765681, 38.998895, 170.393995], [19.540198, 21.025571, 21.981563, 22.655349, 39.472024], [21.260029, 22.082644, 23.129555, 23.557329, 92.978129]]
### 2
mean: [0.531705, -0.037288, -0.113082, -0.757091, 1.199884, 1.106663, 0.636515]
std: [1.554697, 1.378055, 0.973063, 1.533772, 2.559636, 1.953729, 1.361315]
pca: [[0.345623, -0.397762, -0.173395, 0.712473, -0.232432, -0.072735, -0.354022, 0.000000, 0.000000, 0.000000], [-0.298767, -0.508386, -0.315198, 0.073425, 0.233772, -0.467077, 0.524148, 0.000000, 0.000000, 0.000000], [0.203456, -0.092271, 0.748995, 0.304311, 0.498473, 0.007915, 0.218987, 0.000000, 0.000000, 0.000000], [-0.322643, 0.676647, -0.221566, 0.559239, 0.236670, -0.138507, 0.031829, 0.000000, 0.000000, 0.000000], [0.588542, 0.339426, 0.032342, -0.072291, -0.331736, -0.540349, 0.360708, 0.000000, 0.000000, 0.000000], [0.449352, 0.034903, -0.385177, -0.238201, 0.689688, -0.116897, -0.320045, 0.000000, 0.000000, 0.000000], [0.312235, 0.023142, -0.333306, 0.140256, 0.033461, 0.672056, 0.564296, 0.000000, 0.000000, 0.000000]]
fourier: [[27.190775, 28.350167, 28.889354, 30.142974, 47.853446], [21.390438, 23.133050, 25.933352, 26.919468, 28.710731], [14.478297, 14.744697, 16.278601, 16.526915, 18.090330], [24.853638, 25.390381, 26.783873, 30.262326, 68.138236], [46.392987, 47.295114, 48.042666, 55.506713, 107.989525], [33.685885, 35.846259, 38.042119, 43.409761, 99.599679], [23.497398, 26.256192, 26.547089, 29.945580, 57.286337]]
### 4
mean: [-1.024042, 1.524898, 1.418667, -0.345135, 0.916899, -0.530652, 1.318797]
std: [1.588306, 2.808048, 2.018099, 1.544729, 0.294530, 1.467063, 2.370890]
pca: [[-0.318857, 0.170537, 0.554932, -0.484911, -0.117372, 0.242556, -0.503537, 0.000000, 0.000000, 0.000000], [0.567536, 0.223286, -0.118122, -0.033463, 0.371386, 0.674121, -0.143555, 0.000000, 0.000000, 0.000000], [0.405589, -0.202881, 0.673635, 0.178757, -0.364426, 0.137746, 0.396003, 0.000000, 0.000000, 0.000000], [-0.307792, 0.627853, -0.063571, 0.525987, -0.379750, 0.287714, 0.058065, 0.000000, 0.000000, 0.000000], [0.042249, 0.348264, 0.453115, 0.342064, 0.615853, -0.410944, -0.080358, 0.000000, 0.000000, 0.000000], [-0.295795, 0.249570, 0.048759, -0.428671, 0.283503, 0.156680, 0.747771, 0.000000, 0.000000, 0.000000], [0.477196, 0.549662, -0.112165, -0.392885, -0.334114, -0.437666, 0.005776, 0.000000, 0.000000, 0.000000]]
fourier: [[28.013945, 29.613623, 32.969414, 33.323592, 92.163748], [48.064084, 52.321630, 56.894403, 59.218715, 137.240803], [34.874982, 38.214611, 42.078908, 42.223268, 127.680064], [28.239613, 28.782385, 30.490735, 31.062125, 33.582087], [4.442040, 5.241751, 5.266005, 5.925149, 82.520898], [25.891296, 27.776078, 30.670685, 31.215535, 47.758663], [39.816104, 44.494407, 46.078269, 50.428234, 118.691726]]
### 6
mean: [-0.736253, 2.324657, -1.745130, -0.481952, -0.870883, 1.984795, 0.695989]
std: [2.348943, 3.492228, 2.437787, 1.907298, 0.557626, 3.051319, 1.979594]
pca: [[-0.368509, -0.277093, 0.013972, -0.036662, 0.368184, 0.796097, -0.128652, 0.000000, 0.000000, 0.000000], [0.549387, -0.009919, 0.296145, 0.075750, 0.767133, -0.091376, 0.088277, 0.000000, 0.000000, 0.000000], [-0.381656, 0.376762, -0.108785, 0.095715, 0.217199, -0.009966, 0.802570, 0.000000, 0.000000, 0.000000], [-0.293877, -0.580167, 0.653625, 0.134330, -0.119399, -0.250157, 0.234387, 0.000000, 0.000000, 0.000000], [-0.060007, 0.612338, 0.678748, -0.277666, -0.142378, 0.202291, -0.149835, 0.000000, 0.000000, 0.000000], [0.479438, -0.244720, -0.001734, -0.507110, -0.312190, 0.337287, 0.491795, 0.000000, 0.000000, 0.000000], [0.311268, 0.098648, 0.111089, 0.794640, -0.311098, 0.374857, 0.110847, 0.000000, 0.000000, 0.000000]]
fourier: [[40.529331, 44.740983, 48.484902, 49.006437, 66.262745], [58.748577, 65.745527, 70.964003, 73.717650, 209.219174], [39.642472, 45.325526, 47.768439, 52.392892, 157.061668], [34.088231, 36.172000, 37.468730, 41.694155, 43.375645], [8.977612, 9.763392, 10.103228, 10.119893, 78.379469], [50.640241, 57.243651, 61.065215, 64.983274, 178.631573], [33.605011, 37.448454, 40.791076, 41.430806, 62.639034]]
### 8
mean: [-2.203898, 0.112589, 2.070271, 0.335083, 0.798919, 2.001772, 1.923408]
std: [4.527787, 1.330684, 3.884852, 1.674767, 1.117925, 3.876464, 3.630301]
pca: [[0.543452, -0.231580, 0.277664, 0.590251, 0.025569, 0.416969, 0.225878, 0.000000, 0.000000, 0.000000], [-0.157855, -0.405202, 0.496388, -0.426528, 0.156001, -0.077164, 0.593528, 0.000000, 0.000000, 0.000000], [-0.466439, 0.014935, -0.126692, -0.034892, -0.518192, 0.678081, 0.191380, 0.000000, 0.000000, 0.000000], [-0.198765, -0.501473, -0.043457, -0.102424, 0.517859, 0.402391, -0.516277, 0.000000, 0.000000, 0.000000], [-0.133776, 0.177381, -0.558231, 0.163041, 0.566278, 0.090622, 0.532497, 0.000000, 0.000000, 0.000000], [-0.464540, -0.474480, -0.082985, 0.581364, -0.167518, -0.430543, 0.027769, 0.000000, 0.000000, 0.000000], [-0.434714, 0.523344, 0.583141, 0.305620, 0.299293, 0.069930, -0.095976, 0.000000, 0.000000, 0.000000]]
fourier: [[75.532858, 85.159555, 90.934813, 96.310951, 198.350819], [19.421014, 23.392073, 25.266717, 26.728156, 28.299589], [65.284868, 73.371550, 78.887912, 82.115409, 186.324361], [29.499028, 30.157432, 31.719147, 33.653950, 35.685858], [18.318407, 20.729111, 21.955139, 24.046248, 71.902689], [66.433108, 73.529629, 80.416290, 80.702643, 180.159507], [59.298038, 67.779023, 71.549703, 78.007071, 173.106728]]
### 10
mean: [-3.815797]
std: [6.518498]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[105.265391, 120.843636, 127.103045, 140.686230, 343.421759]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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[
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[
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],
[
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]
],
"network.0.bias": [
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0.273471,
0.248301
],
"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.6.weight": [
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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: [-0.406823, -0.171684, 0.089811, 0.450782, 1.893266, 0.438578, 1.033090]
std: [1.596052, 0.781334, 2.069060, 1.529602, 1.980715, 1.256356, 1.431926]
pca: [[0.404085, -0.430141, 0.082217, 0.580683, 0.046856, -0.148433, 0.532461, 0.000000, 0.000000, 0.000000], [0.143239, -0.202996, -0.148702, -0.447249, 0.815448, -0.196902, 0.111375, 0.000000, 0.000000, 0.000000], [-0.055877, 0.803104, -0.223232, 0.308733, 0.238148, -0.245595, 0.299536, 0.000000, 0.000000, 0.000000], [0.504854, 0.200276, -0.189698, -0.472967, -0.303263, 0.380679, 0.456557, 0.000000, 0.000000, 0.000000], [0.379181, 0.290262, 0.852239, -0.052551, 0.150313, -0.005686, -0.142373, 0.000000, 0.000000, 0.000000], [-0.442266, -0.013865, 0.212264, 0.133111, 0.318660, 0.732033, 0.322518, 0.000000, 0.000000, 0.000000], [-0.467784, -0.065118, 0.337554, -0.351114, -0.245004, -0.445039, 0.530685, 0.000000, 0.000000, 0.000000]]
fourier: [[24.411150, 27.951368, 28.518523, 32.472449, 36.614066], [11.434928, 13.323163, 14.401934, 15.451563, 15.455143], [28.987399, 32.817665, 33.125417, 35.887646, 39.471660], [26.222986, 26.250607, 26.856237, 31.439420, 40.570341], [30.863203, 31.178923, 36.765681, 38.998895, 170.393995], [19.540198, 21.025571, 21.981563, 22.655349, 39.472024], [21.260029, 22.082644, 23.129555, 23.557329, 92.978129]]
### 2
mean: [0.531705, -0.037288, -0.113082, -0.757091, 1.199884, 1.106663, 0.636515]
std: [1.554697, 1.378055, 0.973063, 1.533772, 2.559636, 1.953729, 1.361315]
pca: [[0.345623, -0.397762, -0.173395, 0.712473, -0.232432, -0.072735, -0.354022, 0.000000, 0.000000, 0.000000], [-0.298767, -0.508386, -0.315198, 0.073425, 0.233772, -0.467077, 0.524148, 0.000000, 0.000000, 0.000000], [0.203456, -0.092271, 0.748995, 0.304311, 0.498473, 0.007915, 0.218987, 0.000000, 0.000000, 0.000000], [-0.322643, 0.676647, -0.221566, 0.559239, 0.236670, -0.138507, 0.031829, 0.000000, 0.000000, 0.000000], [0.588542, 0.339426, 0.032342, -0.072291, -0.331736, -0.540349, 0.360708, 0.000000, 0.000000, 0.000000], [0.449352, 0.034903, -0.385177, -0.238201, 0.689688, -0.116897, -0.320045, 0.000000, 0.000000, 0.000000], [0.312235, 0.023142, -0.333306, 0.140256, 0.033461, 0.672056, 0.564296, 0.000000, 0.000000, 0.000000]]
fourier: [[27.190775, 28.350167, 28.889354, 30.142974, 47.853446], [21.390438, 23.133050, 25.933352, 26.919468, 28.710731], [14.478297, 14.744697, 16.278601, 16.526915, 18.090330], [24.853638, 25.390381, 26.783873, 30.262326, 68.138236], [46.392987, 47.295114, 48.042666, 55.506713, 107.989525], [33.685885, 35.846259, 38.042119, 43.409761, 99.599679], [23.497398, 26.256192, 26.547089, 29.945580, 57.286337]]
### 4
mean: [-1.024042, 1.524898, 1.418667, -0.345135, 0.916899, -0.530652, 1.318797]
std: [1.588306, 2.808048, 2.018099, 1.544729, 0.294530, 1.467063, 2.370890]
pca: [[-0.318857, 0.170537, 0.554932, -0.484911, -0.117372, 0.242556, -0.503537, 0.000000, 0.000000, 0.000000], [0.567536, 0.223286, -0.118122, -0.033463, 0.371386, 0.674121, -0.143555, 0.000000, 0.000000, 0.000000], [0.405589, -0.202881, 0.673635, 0.178757, -0.364426, 0.137746, 0.396003, 0.000000, 0.000000, 0.000000], [-0.307792, 0.627853, -0.063571, 0.525987, -0.379750, 0.287714, 0.058065, 0.000000, 0.000000, 0.000000], [0.042249, 0.348264, 0.453115, 0.342064, 0.615853, -0.410944, -0.080358, 0.000000, 0.000000, 0.000000], [-0.295795, 0.249570, 0.048759, -0.428671, 0.283503, 0.156680, 0.747771, 0.000000, 0.000000, 0.000000], [0.477196, 0.549662, -0.112165, -0.392885, -0.334114, -0.437666, 0.005776, 0.000000, 0.000000, 0.000000]]
fourier: [[28.013945, 29.613623, 32.969414, 33.323592, 92.163748], [48.064084, 52.321630, 56.894403, 59.218715, 137.240803], [34.874982, 38.214611, 42.078908, 42.223268, 127.680064], [28.239613, 28.782385, 30.490735, 31.062125, 33.582087], [4.442040, 5.241751, 5.266005, 5.925149, 82.520898], [25.891296, 27.776078, 30.670685, 31.215535, 47.758663], [39.816104, 44.494407, 46.078269, 50.428234, 118.691726]]
### 6
mean: [-0.736253, 2.324657, -1.745130, -0.481952, -0.870883, 1.984795, 0.695989]
std: [2.348943, 3.492228, 2.437787, 1.907298, 0.557626, 3.051319, 1.979594]
pca: [[-0.368509, -0.277093, 0.013972, -0.036662, 0.368184, 0.796097, -0.128652, 0.000000, 0.000000, 0.000000], [0.549387, -0.009919, 0.296145, 0.075750, 0.767133, -0.091376, 0.088277, 0.000000, 0.000000, 0.000000], [-0.381656, 0.376762, -0.108785, 0.095715, 0.217199, -0.009966, 0.802570, 0.000000, 0.000000, 0.000000], [-0.293877, -0.580167, 0.653625, 0.134330, -0.119399, -0.250157, 0.234387, 0.000000, 0.000000, 0.000000], [-0.060007, 0.612338, 0.678748, -0.277666, -0.142378, 0.202291, -0.149835, 0.000000, 0.000000, 0.000000], [0.479438, -0.244720, -0.001734, -0.507110, -0.312190, 0.337287, 0.491795, 0.000000, 0.000000, 0.000000], [0.311268, 0.098648, 0.111089, 0.794640, -0.311098, 0.374857, 0.110847, 0.000000, 0.000000, 0.000000]]
fourier: [[40.529331, 44.740983, 48.484902, 49.006437, 66.262745], [58.748577, 65.745527, 70.964003, 73.717650, 209.219174], [39.642472, 45.325526, 47.768439, 52.392892, 157.061668], [34.088231, 36.172000, 37.468730, 41.694155, 43.375645], [8.977612, 9.763392, 10.103228, 10.119893, 78.379469], [50.640241, 57.243651, 61.065215, 64.983274, 178.631573], [33.605011, 37.448454, 40.791076, 41.430806, 62.639034]]
### 8
mean: [-2.203898, 0.112589, 2.070271, 0.335083, 0.798919, 2.001772, 1.923408]
std: [4.527787, 1.330684, 3.884852, 1.674767, 1.117925, 3.876464, 3.630301]
pca: [[0.543452, -0.231580, 0.277664, 0.590251, 0.025569, 0.416969, 0.225878, 0.000000, 0.000000, 0.000000], [-0.157855, -0.405202, 0.496388, -0.426528, 0.156001, -0.077164, 0.593528, 0.000000, 0.000000, 0.000000], [-0.466439, 0.014935, -0.126692, -0.034892, -0.518192, 0.678081, 0.191380, 0.000000, 0.000000, 0.000000], [-0.198765, -0.501473, -0.043457, -0.102424, 0.517859, 0.402391, -0.516277, 0.000000, 0.000000, 0.000000], [-0.133776, 0.177381, -0.558231, 0.163041, 0.566278, 0.090622, 0.532497, 0.000000, 0.000000, 0.000000], [-0.464540, -0.474480, -0.082985, 0.581364, -0.167518, -0.430543, 0.027769, 0.000000, 0.000000, 0.000000], [-0.434714, 0.523344, 0.583141, 0.305620, 0.299293, 0.069930, -0.095976, 0.000000, 0.000000, 0.000000]]
fourier: [[75.532858, 85.159555, 90.934813, 96.310951, 198.350819], [19.421014, 23.392073, 25.266717, 26.728156, 28.299589], [65.284868, 73.371550, 78.887912, 82.115409, 186.324361], [29.499028, 30.157432, 31.719147, 33.653950, 35.685858], [18.318407, 20.729111, 21.955139, 24.046248, 71.902689], [66.433108, 73.529629, 80.416290, 80.702643, 180.159507], [59.298038, 67.779023, 71.549703, 78.007071, 173.106728]]
### 10
mean: [-3.815797]
std: [6.518498]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[105.265391, 120.843636, 127.103045, 140.686230, 343.421759]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 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": [[0.697842, -0.020822, -0.180345, -0.379946, -0.055388], [0.26071, -0.294851, 0.188549, -0.060488, -0.149533], [-0.83411, 0.055547, -0.170534, 0.000916, 0.801553], [0.141418, -0.320662, 0.155985, -0.240212, 0.640249], [0.467331, 0.102254, -0.409174, 0.332017, 0.765229], [-0.225331, 0.23243, -0.095814, 0.33111, -0.395613], [-0.143438, 0.213465, 0.05189, 0.487898, -0.470557]], "network.0.bias": [0.022498, -0.038561, 0.392275, 0.258758, 0.324314, 0.273471, 0.248301], "network.2.weight": [[0.033975, 0.199486, 0.483211, -0.109937, 0.497195, -0.365314, -0.293349], [-0.764892, 0.184018, -0.264909, -0.288424, -0.052201, 0.122717, 0.450352], [0.187074, -0.051896, 0.428183, -0.011214, 0.021327, -0.239723, -0.355426], [0.334681, -0.014787, -0.378445, -0.305184, -0.358517, 0.164295, 0.393028], [0.745531, 0.243401, 0.507354, 0.35218, 0.467604, -0.408568, -0.683262], [0.32051, -0.036127, 0.241305, 0.349192, 0.498982, -0.643293, -0.223456], [0.3363, -0.06613, 0.25908, 0.194913, 0.336013, -0.48492, -0.063972]], "network.2.bias": [-0.149167, 0.136579, 0.046887, -0.268989, 0.419117, 0.267879, -0.069433], "network.4.weight": [[-0.330956, 0.451899, 0.136247, 0.162081, -0.00398, -0.384876, -0.294815], [0.528194, -0.493249, 0.068774, 0.097945, 0.480382, 0.520007, 0.040255], [-0.044901, -0.421684, -0.04368, 0.342168, 0.666013, 0.195817, 0.195418], [0.234747, 0.4583, -0.221178, 0.23695, -0.26668, -0.448567, -0.128165], [-0.157823, 0.241875, 0.182036, 0.150513, 0.00262, 0.115011, 0.212712], [-0.149013, 0.429979, 0.170219, -0.072892, -0.251282, -0.2551, -0.188591], [0.528681, -0.530334, 0.233356, 0.556275, 0.334585, 0.260009, 0.270335]], "network.4.bias": [-0.277019, -0.170942, 0.12798, 0.415012, 0.56, 0.252121, -0.044831], "network.6.weight": [[0.263246, -0.139239, -0.376017, 0.279353, 0.284354, 0.498915, -0.488821], [-0.313722, 0.637618, 0.259392, -0.338538, -0.042284, -0.377938, 0.507527], [0.032666, -0.308539, -0.270793, -0.093252, -0.174171, 0.239666, -0.471412], [0.581258, -0.14998, -0.557361, 0.645241, 0.278438, 0.055761, -0.073862], [0.000447, -0.113037, -0.41673, -0.725971, 0.040967, -0.201137, 0.184239], [-0.291154, 0.326708, 0.395506, -0.075648, 0.263815, -0.280154, 0.569158], [0.026833, 0.388213, 0.166421, -0.150634, -0.14386, -0.574364, 0.230321]], "network.6.bias": [0.337893, 0.320853, 0.008036, 0.209934, -0.059633, -0.107276, -0.290349], "network.8.weight": [[0.205315, -0.393913, 0.07663, 0.425777, -0.483442, -0.52389, -0.82233], [-0.191802, 0.237218, 0.126605, -0.390568, -0.003933, -0.013342, 0.185132], [-0.395372, 0.327694, 0.036174, -0.316828, 0.283717, 0.517209, 0.565626], [-0.35494, 0.14204, -0.271816, -0.367118, 0.028543, 0.164667, 0.226369], [-0.113487, -0.000879, -0.382229, 0.053491, 0.168105, 0.187445, 0.316815], [-0.463138, 0.402375, -0.37644, -0.582444, 0.029104, 0.522284, 0.312712], [-0.102583, 0.59992, 0.112093, -0.117429, 0.142132, 0.034301, 0.843769]], "network.8.bias": [0.348629, -0.360308, -0.021448, -0.244497, 0.133701, 0.099416, -0.377625], "network.10.weight": [[0.320798, -0.564316, -0.442861, -0.279221, 0.060675, -0.631031, -0.526988]], "network.10.bias": [0.277431]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6969109177589417, "train_acc": 0.47, "val_loss": 0.6544473171234131, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6032439172267914, "train_acc": 0.56, "val_loss": 0.5945726037025452, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6061742603778839, "train_acc": 0.575, "val_loss": 0.6396884322166443, "val_acc": 0.62}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5826543867588043, "train_acc": 0.735, "val_loss": 0.483283132314682, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.39770086109638214, "train_acc": 0.84, "val_loss": 0.6274516582489014, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.44557036459445953, "train_acc": 0.835, "val_loss": 0.4276507496833801, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3488270193338394, "train_acc": 0.835, "val_loss": 0.598081111907959, "val_acc": 0.72}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4337776154279709, "train_acc": 0.815, "val_loss": 0.5741105079650879, "val_acc": 0.72}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.41268759965896606, "train_acc": 0.825, "val_loss": 0.4642835259437561, "val_acc": 0.76}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6544473171234131, "final_val_loss": 0.5945726037025452, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.6396884322166443, "final_val_loss": 0.4642835259437561, "initial_val_acc": 0.62, "final_val_acc": 0.76, "best_val_acc": 0.78, "best_epoch": 5}, "improvement": 0.24, "first_improvement_epoch": 1}}
|
9,713
|
{"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": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4461, "learning_rate": 0.06253959046088987, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [-0.622505, 0.798274, 0.930335, -0.807004, 0.255545, 0.974312, -2.228231]
std: [1.075310, 2.253186, 1.651979, 1.279620, 1.673635, 1.302290, 1.199343]
pca: [[-0.038338, 0.242767, 0.473124, -0.335726, 0.502569, 0.568464, 0.165255, 0.000000, 0.000000, 0.000000], [0.521655, 0.772831, -0.242435, 0.159125, 0.136932, -0.077253, -0.147627, 0.000000, 0.000000, 0.000000], [0.538712, -0.272816, -0.238338, -0.107795, -0.405195, 0.633139, 0.043446, 0.000000, 0.000000, 0.000000], [0.362768, 0.034239, 0.474925, 0.073689, -0.257082, -0.314225, 0.686596, 0.000000, 0.000000, 0.000000], [0.415754, -0.487008, 0.049885, 0.441305, 0.618076, -0.068823, -0.077321, 0.000000, 0.000000, 0.000000], [-0.336471, 0.114853, -0.436653, 0.472879, 0.121756, 0.288597, 0.601002, 0.000000, 0.000000, 0.000000], [-0.136126, 0.133519, 0.491799, 0.653110, -0.318681, 0.288537, -0.332284, 0.000000, 0.000000, 0.000000]]
fourier: [[16.408745, 17.046251, 18.072065, 18.833740, 56.025440], [36.372592, 37.438599, 40.309216, 49.777223, 71.844666], [29.197148, 30.303335, 30.822472, 32.088916, 83.730142], [17.865079, 19.388059, 24.775646, 29.729126, 72.630403], [22.999089, 24.688264, 26.218331, 28.662634, 42.068082], [20.735884, 21.383068, 21.870087, 34.353652, 87.688088], [18.931045, 19.057615, 21.237315, 22.424511, 200.540793]]
### 2
mean: [2.613871, 1.795095, 1.300317, 0.233581, -0.229144, 0.934426, 1.801211]
std: [2.890380, 1.751546, 1.525061, 0.741686, 1.504723, 1.402417, 2.337027]
pca: [[0.611222, -0.313343, 0.288379, -0.354230, 0.335044, -0.029766, -0.454359, 0.000000, 0.000000, 0.000000], [0.341218, 0.502862, 0.388025, 0.520454, -0.316306, 0.157030, -0.290786, 0.000000, 0.000000, 0.000000], [0.300204, 0.430603, -0.026657, -0.398170, -0.247336, -0.660136, 0.261254, 0.000000, 0.000000, 0.000000], [0.079424, -0.424143, 0.522190, -0.153668, -0.517659, 0.205241, 0.455417, 0.000000, 0.000000, 0.000000], [-0.306689, 0.239744, 0.652709, 0.020794, 0.580435, -0.137677, 0.257184, 0.000000, 0.000000, 0.000000], [0.273134, 0.414523, -0.175164, -0.346189, 0.192184, 0.672226, 0.337959, 0.000000, 0.000000, 0.000000], [0.494861, -0.233073, -0.190184, 0.548832, 0.291052, -0.160338, 0.502975, 0.000000, 0.000000, 0.000000]]
fourier: [[46.145319, 47.470982, 48.769468, 52.182345, 235.248399], [30.579285, 31.387984, 32.615700, 33.795482, 161.558597], [26.608210, 27.626865, 27.900182, 28.249445, 117.028555], [11.597295, 11.683375, 12.626729, 19.308500, 21.022264], [22.721002, 22.963449, 23.157561, 25.361867, 30.021894], [24.399098, 25.115262, 25.873963, 26.099017, 84.098312], [37.682459, 38.155514, 38.348963, 38.520496, 162.109014]]
### 4
mean: [5.350446, -1.195085, 4.264137, 2.886277, -2.210583, 0.786431, 3.067905]
std: [6.414257, 0.921770, 5.274716, 3.628210, 2.106545, 1.154217, 3.746980]
pca: [[0.634204, -0.128344, -0.162418, -0.490648, -0.423782, -0.134815, -0.341221, 0.000000, 0.000000, 0.000000], [-0.085848, -0.393335, 0.617665, -0.204844, 0.414648, -0.127530, -0.475657, 0.000000, 0.000000, 0.000000], [0.520733, -0.434883, 0.280702, 0.596791, -0.106432, -0.066840, 0.298270, 0.000000, 0.000000, 0.000000], [0.356797, 0.565112, 0.190438, -0.102842, 0.386645, -0.545742, 0.243253, 0.000000, 0.000000, 0.000000], [-0.207699, -0.164939, 0.403043, -0.506469, -0.331182, -0.023057, 0.632842, 0.000000, 0.000000, 0.000000], [0.107468, 0.538802, 0.553406, 0.141226, -0.340532, 0.452943, -0.225434, 0.000000, 0.000000, 0.000000], [0.370486, -0.053184, -0.091364, -0.272236, 0.511869, 0.676439, 0.240566, 0.000000, 0.000000, 0.000000]]
fourier: [[103.665317, 104.177618, 106.336678, 106.867429, 481.540108], [16.601526, 16.645143, 16.652555, 17.045091, 107.557674], [84.008676, 85.877081, 86.432942, 87.128767, 383.772357], [58.368987, 60.929599, 61.688787, 63.226169, 259.764949], [34.682224, 35.248702, 35.835600, 36.114168, 198.952461], [19.810552, 19.977115, 20.428224, 20.842219, 70.778759], [60.278428, 60.589939, 62.017099, 62.985295, 276.111394]]
### 6
mean: [8.596794, 1.483709, 6.461829, 3.265515, -3.712377, 9.897214, -1.623047]
std: [10.493784, 1.628014, 7.685321, 3.466716, 4.175601, 11.856663, 1.864799]
pca: [[0.564806, 0.066695, -0.519064, -0.128026, -0.410251, 0.145632, 0.448568, 0.000000, 0.000000, 0.000000], [0.086194, 0.754638, 0.169887, -0.509519, -0.102395, -0.313103, -0.161565, 0.000000, 0.000000, 0.000000], [0.413602, 0.302298, -0.104270, 0.554460, 0.546742, -0.337197, 0.081379, 0.000000, 0.000000, 0.000000], [0.186408, -0.386107, 0.394258, -0.423039, 0.285357, -0.344210, 0.530908, 0.000000, 0.000000, 0.000000], [-0.224600, 0.373363, 0.468399, 0.350297, -0.210230, 0.290168, 0.582800, 0.000000, 0.000000, 0.000000], [0.638161, -0.081431, 0.520268, 0.016429, -0.035968, 0.431268, -0.357610, 0.000000, 0.000000, 0.000000], [-0.100278, 0.198948, -0.212892, -0.338578, 0.628780, 0.615131, 0.129059, 0.000000, 0.000000, 0.000000]]
fourier: [[169.186138, 174.595641, 174.641949, 177.653799, 773.711511], [25.970056, 27.933531, 28.498048, 29.205555, 133.533783], [123.896513, 128.364597, 128.669484, 130.573931, 581.564553], [56.493284, 56.753613, 57.086966, 57.838318, 293.896363], [67.647718, 68.401017, 68.704605, 69.677570, 334.113931], [191.755414, 196.864691, 197.687078, 200.482139, 890.749313], [30.376424, 30.636044, 30.738236, 31.011777, 146.074180]]
### 8
mean: [-1.085198, 13.017900, 12.457983, 8.944729, -1.938097, 1.450223, -3.173277]
std: [2.393336, 15.945804, 15.051311, 10.882335, 2.976296, 1.861265, 3.377770]
pca: [[-0.095451, -0.059248, 0.541799, 0.460530, 0.668881, 0.047468, -0.179137, 0.000000, 0.000000, 0.000000], [0.635966, -0.275645, 0.119770, 0.148286, 0.032597, 0.190111, 0.667854, 0.000000, 0.000000, 0.000000], [0.600293, 0.159985, 0.230079, 0.258293, -0.411768, -0.061379, -0.566641, 0.000000, 0.000000, 0.000000], [0.434020, -0.174817, -0.457871, -0.354701, 0.568751, -0.010661, -0.349307, 0.000000, 0.000000, 0.000000], [-0.118698, -0.174149, -0.048386, -0.001697, -0.116237, 0.945637, -0.213303, 0.000000, 0.000000, 0.000000], [0.074079, 0.721834, -0.450417, 0.432563, 0.170263, 0.175587, 0.153822, 0.000000, 0.000000, 0.000000], [-0.134665, -0.559447, -0.473614, 0.621516, -0.126508, -0.180729, -0.098107, 0.000000, 0.000000, 0.000000]]
fourier: [[38.525764, 39.791614, 39.850013, 40.435562, 97.667789], [257.142712, 265.379574, 266.334949, 270.313894, 1171.610890], [242.892350, 250.179996, 251.004046, 254.684486, 1121.218549], [175.435143, 181.149027, 181.696086, 184.395557, 805.025647], [48.092187, 49.360536, 49.501614, 50.206276, 174.428749], [30.267046, 30.342933, 30.398449, 30.569076, 130.520110], [54.703714, 55.667798, 55.905964, 56.693643, 285.594913]]
### 10
mean: [-13.194898]
std: [16.935926]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[276.085040, 278.818344, 282.061359, 287.055627, 1187.540871]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.053126,
-0.139186,
-0.417574,
-0.190215,
0.365654
],
[
0.918002,
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0.007216,
-0.374904,
0.371726
],
[
0.202115,
0.817875,
-0.088479,
-0.060009,
-0.181251
],
[
0.259462,
0.377066,
-0.473407,
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],
[
0.327414,
0.426135,
-0.364008,
0.263575,
-0.53971
],
[
-0.016611,
-0.603772,
0.545526,
0.298298,
-0.149035
],
[
0.07489,
-0.393026,
-0.129248,
-0.243702,
-0.260599
]
],
"network.0.bias": [
0.394208,
-0.090275,
-0.274484,
0.053085,
-0.067624,
0.499772,
-0.491251
],
"network.2.weight": [
[
0.494448,
0.674735,
0.868602,
0.375859,
0.780289,
-0.150587,
-0.23433
],
[
0.034945,
0.781417,
0.097032,
0.474686,
0.283285,
0.24633,
0.078792
],
[
0.426732,
0.671908,
0.173424,
0.449022,
0.080048,
0.09676,
-0.131595
],
[
0.230634,
-0.180583,
0.238503,
0.2107,
0.484008,
0.062789,
0.042119
],
[
0.227341,
-0.321172,
-0.419306,
-0.337368,
-0.091572,
0.506982,
0.086828
],
[
0.333695,
0.649326,
0.143005,
0.22042,
0.029787,
0.007655,
-0.23311
],
[
-0.304129,
0.603709,
0.65305,
0.214393,
0.415593,
-0.365099,
-0.041851
]
],
"network.2.bias": [
0.20761,
0.142759,
-0.040882,
-0.353055,
0.149325,
-0.146647,
0.432949
],
"network.4.weight": [
[
0.822557,
0.318264,
0.398155,
0.48842,
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0.555536,
0.858642
],
[
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0.05886,
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0.041678,
-0.182439
],
[
0.853997,
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0.47681,
0.052112,
-0.561557,
0.342609,
0.772795
],
[
0.376897,
0.35567,
0.551007,
0.089341,
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0.248807,
0.314764
],
[
-0.272635,
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0.213281,
0.026186,
0.142298,
-0.369924
],
[
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0.441973,
0.16669,
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0.52188,
0.049077
],
[
0.405044,
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0.092746,
0.243252,
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0.318872,
0.591382
]
],
"network.4.bias": [
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0.106295,
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0.064283,
0.006911
],
"network.6.weight": [
[
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0.201902,
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],
[
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0.06314,
0.413889,
0.400306
],
[
0.684821,
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0.202857,
0.497557,
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0.286165,
0.048267
],
[
-0.011625,
-0.216067,
0.456485,
0.04206,
0.332924,
-0.011601,
0.27649
],
[
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0.073591,
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-0.033951,
0.265792,
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],
[
0.592633,
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0.769714,
0.488634,
0.308443,
0.420354,
0.506823
],
[
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-0.188775,
0.129434,
-0.001329,
-0.144727,
-0.036111
]
],
"network.6.bias": [
-0.175657,
0.21377,
0.050204,
0.375822,
-0.196143,
0.016021,
-0.053981
],
"network.8.weight": [
[
-0.298155,
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0.202882,
0.43019,
-0.261115,
-0.217475,
0.066622
],
[
0.75738,
0.141122,
0.333587,
0.121358,
-0.331457,
0.404764,
0.209238
],
[
0.728456,
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0.257799,
0.076898,
-0.228206,
0.448809,
-0.097042
],
[
0.600977,
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0.179093,
-0.293716,
0.200745,
0.367324,
-0.184043
],
[
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0.338353,
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0.192107
],
[
0.095026,
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0.233944,
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0.155903,
0.013671,
0.046805
],
[
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0.17492,
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0.211169,
-0.059329,
-0.031025
]
],
"network.8.bias": [
0.678114,
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-0.035913,
0.054519,
0.540281,
0.005977,
-0.270439
],
"network.10.weight": [
[
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-0.250751,
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0.371661,
-0.022474,
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]
],
"network.10.bias": [
0.323733
]
}
## Activation Signature
### 0
mean: [-0.622505, 0.798274, 0.930335, -0.807004, 0.255545, 0.974312, -2.228231]
std: [1.075310, 2.253186, 1.651979, 1.279620, 1.673635, 1.302290, 1.199343]
pca: [[-0.038338, 0.242767, 0.473124, -0.335726, 0.502569, 0.568464, 0.165255, 0.000000, 0.000000, 0.000000], [0.521655, 0.772831, -0.242435, 0.159125, 0.136932, -0.077253, -0.147627, 0.000000, 0.000000, 0.000000], [0.538712, -0.272816, -0.238338, -0.107795, -0.405195, 0.633139, 0.043446, 0.000000, 0.000000, 0.000000], [0.362768, 0.034239, 0.474925, 0.073689, -0.257082, -0.314225, 0.686596, 0.000000, 0.000000, 0.000000], [0.415754, -0.487008, 0.049885, 0.441305, 0.618076, -0.068823, -0.077321, 0.000000, 0.000000, 0.000000], [-0.336471, 0.114853, -0.436653, 0.472879, 0.121756, 0.288597, 0.601002, 0.000000, 0.000000, 0.000000], [-0.136126, 0.133519, 0.491799, 0.653110, -0.318681, 0.288537, -0.332284, 0.000000, 0.000000, 0.000000]]
fourier: [[16.408745, 17.046251, 18.072065, 18.833740, 56.025440], [36.372592, 37.438599, 40.309216, 49.777223, 71.844666], [29.197148, 30.303335, 30.822472, 32.088916, 83.730142], [17.865079, 19.388059, 24.775646, 29.729126, 72.630403], [22.999089, 24.688264, 26.218331, 28.662634, 42.068082], [20.735884, 21.383068, 21.870087, 34.353652, 87.688088], [18.931045, 19.057615, 21.237315, 22.424511, 200.540793]]
### 2
mean: [2.613871, 1.795095, 1.300317, 0.233581, -0.229144, 0.934426, 1.801211]
std: [2.890380, 1.751546, 1.525061, 0.741686, 1.504723, 1.402417, 2.337027]
pca: [[0.611222, -0.313343, 0.288379, -0.354230, 0.335044, -0.029766, -0.454359, 0.000000, 0.000000, 0.000000], [0.341218, 0.502862, 0.388025, 0.520454, -0.316306, 0.157030, -0.290786, 0.000000, 0.000000, 0.000000], [0.300204, 0.430603, -0.026657, -0.398170, -0.247336, -0.660136, 0.261254, 0.000000, 0.000000, 0.000000], [0.079424, -0.424143, 0.522190, -0.153668, -0.517659, 0.205241, 0.455417, 0.000000, 0.000000, 0.000000], [-0.306689, 0.239744, 0.652709, 0.020794, 0.580435, -0.137677, 0.257184, 0.000000, 0.000000, 0.000000], [0.273134, 0.414523, -0.175164, -0.346189, 0.192184, 0.672226, 0.337959, 0.000000, 0.000000, 0.000000], [0.494861, -0.233073, -0.190184, 0.548832, 0.291052, -0.160338, 0.502975, 0.000000, 0.000000, 0.000000]]
fourier: [[46.145319, 47.470982, 48.769468, 52.182345, 235.248399], [30.579285, 31.387984, 32.615700, 33.795482, 161.558597], [26.608210, 27.626865, 27.900182, 28.249445, 117.028555], [11.597295, 11.683375, 12.626729, 19.308500, 21.022264], [22.721002, 22.963449, 23.157561, 25.361867, 30.021894], [24.399098, 25.115262, 25.873963, 26.099017, 84.098312], [37.682459, 38.155514, 38.348963, 38.520496, 162.109014]]
### 4
mean: [5.350446, -1.195085, 4.264137, 2.886277, -2.210583, 0.786431, 3.067905]
std: [6.414257, 0.921770, 5.274716, 3.628210, 2.106545, 1.154217, 3.746980]
pca: [[0.634204, -0.128344, -0.162418, -0.490648, -0.423782, -0.134815, -0.341221, 0.000000, 0.000000, 0.000000], [-0.085848, -0.393335, 0.617665, -0.204844, 0.414648, -0.127530, -0.475657, 0.000000, 0.000000, 0.000000], [0.520733, -0.434883, 0.280702, 0.596791, -0.106432, -0.066840, 0.298270, 0.000000, 0.000000, 0.000000], [0.356797, 0.565112, 0.190438, -0.102842, 0.386645, -0.545742, 0.243253, 0.000000, 0.000000, 0.000000], [-0.207699, -0.164939, 0.403043, -0.506469, -0.331182, -0.023057, 0.632842, 0.000000, 0.000000, 0.000000], [0.107468, 0.538802, 0.553406, 0.141226, -0.340532, 0.452943, -0.225434, 0.000000, 0.000000, 0.000000], [0.370486, -0.053184, -0.091364, -0.272236, 0.511869, 0.676439, 0.240566, 0.000000, 0.000000, 0.000000]]
fourier: [[103.665317, 104.177618, 106.336678, 106.867429, 481.540108], [16.601526, 16.645143, 16.652555, 17.045091, 107.557674], [84.008676, 85.877081, 86.432942, 87.128767, 383.772357], [58.368987, 60.929599, 61.688787, 63.226169, 259.764949], [34.682224, 35.248702, 35.835600, 36.114168, 198.952461], [19.810552, 19.977115, 20.428224, 20.842219, 70.778759], [60.278428, 60.589939, 62.017099, 62.985295, 276.111394]]
### 6
mean: [8.596794, 1.483709, 6.461829, 3.265515, -3.712377, 9.897214, -1.623047]
std: [10.493784, 1.628014, 7.685321, 3.466716, 4.175601, 11.856663, 1.864799]
pca: [[0.564806, 0.066695, -0.519064, -0.128026, -0.410251, 0.145632, 0.448568, 0.000000, 0.000000, 0.000000], [0.086194, 0.754638, 0.169887, -0.509519, -0.102395, -0.313103, -0.161565, 0.000000, 0.000000, 0.000000], [0.413602, 0.302298, -0.104270, 0.554460, 0.546742, -0.337197, 0.081379, 0.000000, 0.000000, 0.000000], [0.186408, -0.386107, 0.394258, -0.423039, 0.285357, -0.344210, 0.530908, 0.000000, 0.000000, 0.000000], [-0.224600, 0.373363, 0.468399, 0.350297, -0.210230, 0.290168, 0.582800, 0.000000, 0.000000, 0.000000], [0.638161, -0.081431, 0.520268, 0.016429, -0.035968, 0.431268, -0.357610, 0.000000, 0.000000, 0.000000], [-0.100278, 0.198948, -0.212892, -0.338578, 0.628780, 0.615131, 0.129059, 0.000000, 0.000000, 0.000000]]
fourier: [[169.186138, 174.595641, 174.641949, 177.653799, 773.711511], [25.970056, 27.933531, 28.498048, 29.205555, 133.533783], [123.896513, 128.364597, 128.669484, 130.573931, 581.564553], [56.493284, 56.753613, 57.086966, 57.838318, 293.896363], [67.647718, 68.401017, 68.704605, 69.677570, 334.113931], [191.755414, 196.864691, 197.687078, 200.482139, 890.749313], [30.376424, 30.636044, 30.738236, 31.011777, 146.074180]]
### 8
mean: [-1.085198, 13.017900, 12.457983, 8.944729, -1.938097, 1.450223, -3.173277]
std: [2.393336, 15.945804, 15.051311, 10.882335, 2.976296, 1.861265, 3.377770]
pca: [[-0.095451, -0.059248, 0.541799, 0.460530, 0.668881, 0.047468, -0.179137, 0.000000, 0.000000, 0.000000], [0.635966, -0.275645, 0.119770, 0.148286, 0.032597, 0.190111, 0.667854, 0.000000, 0.000000, 0.000000], [0.600293, 0.159985, 0.230079, 0.258293, -0.411768, -0.061379, -0.566641, 0.000000, 0.000000, 0.000000], [0.434020, -0.174817, -0.457871, -0.354701, 0.568751, -0.010661, -0.349307, 0.000000, 0.000000, 0.000000], [-0.118698, -0.174149, -0.048386, -0.001697, -0.116237, 0.945637, -0.213303, 0.000000, 0.000000, 0.000000], [0.074079, 0.721834, -0.450417, 0.432563, 0.170263, 0.175587, 0.153822, 0.000000, 0.000000, 0.000000], [-0.134665, -0.559447, -0.473614, 0.621516, -0.126508, -0.180729, -0.098107, 0.000000, 0.000000, 0.000000]]
fourier: [[38.525764, 39.791614, 39.850013, 40.435562, 97.667789], [257.142712, 265.379574, 266.334949, 270.313894, 1171.610890], [242.892350, 250.179996, 251.004046, 254.684486, 1121.218549], [175.435143, 181.149027, 181.696086, 184.395557, 805.025647], [48.092187, 49.360536, 49.501614, 50.206276, 174.428749], [30.267046, 30.342933, 30.398449, 30.569076, 130.520110], [54.703714, 55.667798, 55.905964, 56.693643, 285.594913]]
### 10
mean: [-13.194898]
std: [16.935926]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[276.085040, 278.818344, 282.061359, 287.055627, 1187.540871]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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1187.5408708751202]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.053126, -0.139186, -0.417574, -0.190215, 0.365654], [0.918002, 0.04202, 0.007216, -0.374904, 0.371726], [0.202115, 0.817875, -0.088479, -0.060009, -0.181251], [0.259462, 0.377066, -0.473407, -0.380399, -0.053056], [0.327414, 0.426135, -0.364008, 0.263575, -0.53971], [-0.016611, -0.603772, 0.545526, 0.298298, -0.149035], [0.07489, -0.393026, -0.129248, -0.243702, -0.260599]], "network.0.bias": [0.394208, -0.090275, -0.274484, 0.053085, -0.067624, 0.499772, -0.491251], "network.2.weight": [[0.494448, 0.674735, 0.868602, 0.375859, 0.780289, -0.150587, -0.23433], [0.034945, 0.781417, 0.097032, 0.474686, 0.283285, 0.24633, 0.078792], [0.426732, 0.671908, 0.173424, 0.449022, 0.080048, 0.09676, -0.131595], [0.230634, -0.180583, 0.238503, 0.2107, 0.484008, 0.062789, 0.042119], [0.227341, -0.321172, -0.419306, -0.337368, -0.091572, 0.506982, 0.086828], [0.333695, 0.649326, 0.143005, 0.22042, 0.029787, 0.007655, -0.23311], [-0.304129, 0.603709, 0.65305, 0.214393, 0.415593, -0.365099, -0.041851]], "network.2.bias": [0.20761, 0.142759, -0.040882, -0.353055, 0.149325, -0.146647, 0.432949], "network.4.weight": [[0.822557, 0.318264, 0.398155, 0.48842, -0.583592, 0.555536, 0.858642], [-0.000224, -0.300739, -0.10144, 0.05886, -0.249939, 0.041678, -0.182439], [0.853997, -0.133016, 0.47681, 0.052112, -0.561557, 0.342609, 0.772795], [0.376897, 0.35567, 0.551007, 0.089341, -0.415872, 0.248807, 0.314764], [-0.272635, -0.306655, -0.18243, 0.213281, 0.026186, 0.142298, -0.369924], [-0.05044, -0.169642, 0.441973, 0.16669, -0.1485, 0.52188, 0.049077], [0.405044, 0.314508, 0.092746, 0.243252, -0.413758, 0.318872, 0.591382]], "network.4.bias": [0.046486, -0.127699, 0.106295, -0.126574, -0.244232, 0.064283, 0.006911], "network.6.weight": [[0.826378, 0.21711, 0.192861, 0.48336, -0.340918, 0.201902, 0.613031], [-0.172185, -0.145854, -0.079108, 0.329731, 0.06314, 0.413889, 0.400306], [0.684821, -0.367985, 0.202857, 0.497557, -0.197319, 0.286165, 0.048267], [-0.011625, -0.216067, 0.456485, 0.04206, 0.332924, -0.011601, 0.27649], [-0.368052, 0.073591, -0.121175, -0.171028, -0.033951, 0.265792, -0.233311], [0.592633, -0.12918, 0.769714, 0.488634, 0.308443, 0.420354, 0.506823], [-0.166121, -0.203459, -0.188775, 0.129434, -0.001329, -0.144727, -0.036111]], "network.6.bias": [-0.175657, 0.21377, 0.050204, 0.375822, -0.196143, 0.016021, -0.053981], "network.8.weight": [[-0.298155, 0.162854, 0.202882, 0.43019, -0.261115, -0.217475, 0.066622], [0.75738, 0.141122, 0.333587, 0.121358, -0.331457, 0.404764, 0.209238], [0.728456, -0.094351, 0.257799, 0.076898, -0.228206, 0.448809, -0.097042], [0.600977, -0.081049, 0.179093, -0.293716, 0.200745, 0.367324, -0.184043], [-0.146221, 0.081708, -0.061737, -0.06038, 0.338353, -0.075167, 0.192107], [0.095026, -0.532903, 0.233944, -0.070633, 0.155903, 0.013671, 0.046805], [-0.271184, 0.060121, 0.17492, -0.367217, 0.211169, -0.059329, -0.031025]], "network.8.bias": [0.678114, -0.27351, -0.035913, 0.054519, 0.540281, 0.005977, -0.270439], "network.10.weight": [[0.531037, -0.773523, -0.250751, -0.056777, 0.371661, -0.022474, 0.263797]], "network.10.bias": [0.323733]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6911827325820923, "train_acc": 0.57, "val_loss": 0.7043715715408325, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6682340502738953, "train_acc": 0.57, "val_loss": 0.6244145035743713, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5753345787525177, "train_acc": 0.57, "val_loss": 0.4907945990562439, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4355447441339493, "train_acc": 0.885, "val_loss": 0.3789767026901245, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3491748124361038, "train_acc": 0.875, "val_loss": 0.2953265905380249, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2786877304315567, "train_acc": 0.905, "val_loss": 0.38748955726623535, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.42171934247016907, "train_acc": 0.87, "val_loss": 0.3361947238445282, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3253021836280823, "train_acc": 0.855, "val_loss": 0.30018162727355957, "val_acc": 0.88}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.7043715715408325, "final_val_loss": 0.6244145035743713, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.4907945990562439, "final_val_loss": 0.30018162727355957, "initial_val_acc": 0.82, "final_val_acc": 0.88, "best_val_acc": 0.9, "best_epoch": 4}, "improvement": 0.42000000000000004, "first_improvement_epoch": 1}}
|
9,714
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.58, "improved_accuracy": 0.86, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7560, "learning_rate": 0.0836101978783257, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.8.weight": [
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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [0.477513, 0.119292, 1.122483, -0.550143, -0.102263, 0.147534, -2.751656]
std: [1.804497, 0.932157, 1.324981, 1.327865, 1.099300, 1.190391, 1.983746]
pca: [[0.735774, -0.071374, 0.140805, -0.094677, 0.450201, 0.333706, 0.332734, 0.000000, 0.000000, 0.000000], [-0.234210, -0.166354, 0.415081, 0.036263, -0.392874, 0.085150, 0.763063, 0.000000, 0.000000, 0.000000], [-0.163045, -0.369101, 0.267617, 0.784794, 0.363324, 0.029344, -0.129594, 0.000000, 0.000000, 0.000000], [-0.155879, -0.236094, 0.685196, -0.529233, 0.228194, -0.141197, -0.313643, 0.000000, 0.000000, 0.000000], [-0.348338, -0.115317, -0.358185, -0.197375, 0.600415, -0.395726, 0.425455, 0.000000, 0.000000, 0.000000], [-0.394571, -0.266942, -0.244635, -0.210482, 0.093292, 0.808734, -0.078440, 0.000000, 0.000000, 0.000000], [-0.275454, 0.831084, 0.280404, 0.102333, 0.299484, 0.223478, 0.068499, 0.000000, 0.000000, 0.000000]]
fourier: [[27.858145, 27.951012, 30.147518, 36.952040, 42.976205], [12.042164, 12.239375, 12.308875, 16.888714, 19.779849], [21.062527, 23.595837, 24.379096, 25.417719, 101.023471], [21.118880, 21.586350, 22.895857, 25.004165, 49.512913], [16.346046, 17.789356, 18.454599, 19.370474, 20.189984], [17.064305, 18.720739, 19.711935, 20.666657, 21.900534], [29.713196, 34.581717, 35.272957, 41.376025, 247.649026]]
### 2
mean: [1.180336, 0.223616, 0.384744, -0.666641, 0.877637, 1.015694, 0.468954]
std: [1.458201, 0.401628, 0.804001, 0.553344, 1.178015, 1.265087, 0.826789]
pca: [[0.589623, 0.305176, -0.318372, 0.126680, 0.184116, -0.033131, 0.637815, 0.000000, 0.000000, 0.000000], [0.125096, 0.093537, 0.572367, 0.139796, 0.754238, -0.206032, -0.130887, 0.000000, 0.000000, 0.000000], [-0.275298, 0.481034, 0.307992, -0.093443, 0.009707, 0.731699, 0.231838, 0.000000, 0.000000, 0.000000], [-0.180089, -0.253386, 0.344153, 0.736566, -0.288082, -0.072550, 0.392605, 0.000000, 0.000000, 0.000000], [0.463557, 0.376453, 0.038137, 0.437268, -0.292388, 0.155624, -0.583979, 0.000000, 0.000000, 0.000000], [0.503116, -0.246027, 0.571524, -0.446717, -0.376065, 0.015324, 0.135977, 0.000000, 0.000000, 0.000000], [-0.245896, 0.632672, 0.172167, -0.149630, -0.295341, -0.625581, 0.093019, 0.000000, 0.000000, 0.000000]]
fourier: [[20.393392, 25.605321, 25.993113, 26.209953, 106.230208], [6.594171, 6.759975, 6.892115, 6.964873, 20.125477], [11.050957, 12.482546, 14.009187, 14.731448, 34.626937], [8.713775, 9.606997, 9.827356, 10.986393, 59.997690], [17.747231, 20.453862, 21.270070, 23.743899, 78.987354], [18.937821, 19.806489, 19.972174, 23.397587, 91.412508], [12.553774, 12.773438, 14.924586, 15.966921, 42.205835]]
### 4
mean: [0.242275, 1.572250, 1.143881, -0.051577, -0.508534, -0.956342, 1.382295]
std: [1.102234, 2.026017, 1.155558, 0.403766, 0.309235, 0.562703, 1.844626]
pca: [[-0.322271, 0.703562, 0.043594, 0.241994, 0.356910, -0.460080, -0.040275, 0.000000, 0.000000, 0.000000], [0.630672, 0.253254, 0.014623, -0.563143, -0.116021, -0.446924, 0.087005, 0.000000, 0.000000, 0.000000], [0.360047, -0.085632, -0.152155, 0.091183, 0.779921, 0.218753, 0.418853, 0.000000, 0.000000, 0.000000], [-0.092240, 0.450585, 0.489216, -0.391483, 0.045171, 0.627150, 0.022699, 0.000000, 0.000000, 0.000000], [-0.043264, -0.424298, 0.604477, -0.150730, 0.414859, -0.281728, -0.422503, 0.000000, 0.000000, 0.000000], [-0.169606, -0.151178, 0.482431, 0.107059, -0.207082, -0.239044, 0.777272, 0.000000, 0.000000, 0.000000], [0.574120, 0.166192, 0.370499, 0.654641, -0.183973, 0.104414, -0.179428, 0.000000, 0.000000, 0.000000]]
fourier: [[16.528273, 16.793332, 17.609289, 18.677927, 21.804772], [29.780513, 31.497671, 31.822551, 34.059543, 141.502489], [17.060003, 17.814649, 18.114152, 18.313538, 102.949325], [6.220267, 6.400032, 6.515583, 7.558746, 7.727519], [4.637135, 4.666077, 5.416064, 5.770169, 45.768091], [8.980095, 9.410279, 9.832557, 10.042418, 86.070785], [26.378007, 28.084811, 29.293088, 30.549509, 124.406543]]
### 6
mean: [-1.362154, 1.867164, -0.866148, 1.639470, -0.512230, 0.986339, 1.049448]
std: [0.781392, 2.264894, 0.258960, 2.017827, 0.094880, 1.060196, 1.784756]
pca: [[-0.190998, 0.865312, 0.103828, 0.314038, -0.076049, -0.095057, 0.300891, 0.000000, 0.000000, 0.000000], [0.602931, 0.366610, -0.237930, -0.135165, 0.586027, 0.126387, -0.260366, 0.000000, 0.000000, 0.000000], [-0.064845, 0.242913, 0.177522, -0.379502, -0.378805, 0.739188, -0.267133, 0.000000, 0.000000, 0.000000], [0.537974, -0.096799, -0.248212, 0.598440, -0.489985, 0.202352, 0.021018, 0.000000, 0.000000, 0.000000], [0.015699, -0.158081, 0.716440, 0.475198, 0.380554, 0.287109, -0.091715, 0.000000, 0.000000, 0.000000], [0.282283, 0.143204, 0.441368, -0.121086, -0.340228, -0.552401, -0.519075, 0.000000, 0.000000, 0.000000], [0.475861, -0.054391, 0.362483, -0.374812, -0.081446, -0.008110, 0.701442, 0.000000, 0.000000, 0.000000]]
fourier: [[11.986878, 12.412188, 12.775050, 15.440860, 122.593842], [33.468561, 33.827011, 35.022267, 35.671258, 168.044779], [3.948793, 4.033924, 4.189415, 5.030732, 77.953311], [29.983953, 31.086546, 31.399653, 33.127303, 147.552258], [1.688993, 1.849617, 2.010968, 2.221808, 46.100674], [15.278938, 16.115534, 16.591641, 16.615110, 88.770543], [26.327900, 27.603978, 27.612363, 29.150635, 94.450352]]
### 8
mean: [1.115386, -1.186199, 2.293868, 1.775368, 1.068636, -0.128349, -1.123967]
std: [1.274784, 1.088307, 2.446573, 2.131138, 1.204498, 0.355270, 0.941318]
pca: [[0.320561, 0.516699, -0.060153, -0.220849, 0.729919, -0.009950, -0.212106, 0.000000, 0.000000, 0.000000], [-0.273248, 0.754458, -0.277323, -0.107404, -0.402213, -0.218140, 0.241506, 0.000000, 0.000000, 0.000000], [0.615700, 0.051658, -0.273277, 0.669836, -0.097181, -0.268899, 0.114602, 0.000000, 0.000000, 0.000000], [0.536285, 0.176568, 0.632994, -0.305123, -0.424621, -0.022732, -0.081363, 0.000000, 0.000000, 0.000000], [0.303007, -0.316691, -0.350577, -0.573419, 0.046325, -0.220348, 0.552704, 0.000000, 0.000000, 0.000000], [0.089303, 0.170826, 0.112811, 0.165521, 0.080103, 0.756169, 0.586952, 0.000000, 0.000000, 0.000000], [-0.236854, 0.022261, 0.555411, 0.204213, 0.327313, -0.509067, 0.476381, 0.000000, 0.000000, 0.000000]]
fourier: [[19.212899, 19.287156, 20.765476, 22.409795, 100.384707], [16.449032, 16.475860, 16.916810, 18.212575, 106.757898], [37.005894, 37.120658, 39.188955, 42.535494, 206.448099], [32.075298, 32.167052, 34.380063, 36.860167, 159.783134], [18.314481, 18.382783, 19.001674, 20.586645, 96.177241], [5.319443, 5.333717, 5.829415, 6.274105, 11.551412], [14.336800, 14.398874, 14.963053, 16.343125, 101.157026]]
### 10
mean: [-0.146679, 0.905864, 2.763071, 1.855393, -0.359439, 2.107668, 0.686911]
std: [0.530701, 1.117838, 2.862306, 1.758271, 0.216608, 2.179453, 0.875886]
pca: [[-0.123325, 0.681924, 0.561310, 0.396274, 0.116315, 0.107457, -0.150307, 0.000000, 0.000000, 0.000000], [0.260766, 0.151226, -0.066719, 0.384968, -0.310309, -0.442184, 0.681661, 0.000000, 0.000000, 0.000000], [0.667734, -0.100267, 0.265421, -0.031310, -0.413532, 0.548786, -0.021793, 0.000000, 0.000000, 0.000000], [0.410169, -0.194571, -0.173663, 0.535423, 0.142321, -0.336124, -0.586372, 0.000000, 0.000000, 0.000000], [-0.050110, -0.322276, 0.685735, -0.272725, -0.232742, -0.525879, -0.135274, 0.000000, 0.000000, 0.000000], [0.508434, 0.107634, 0.148327, -0.328724, 0.728386, -0.131541, 0.228038, 0.000000, 0.000000, 0.000000], [0.204129, 0.590553, -0.296040, -0.473994, -0.337937, -0.291427, -0.313271, 0.000000, 0.000000, 0.000000]]
fourier: [[8.104944, 8.150862, 8.169871, 9.034901, 13.201095], [16.880578, 16.898929, 18.184750, 19.630396, 81.527724], [43.289279, 43.433465, 46.310914, 50.192934, 248.676356], [26.621459, 26.695564, 28.350659, 30.751659, 166.985385], [3.199952, 3.381265, 3.637757, 3.765003, 32.349527], [32.920492, 33.011043, 35.365759, 38.251809, 189.690095], [13.136527, 13.193693, 14.505523, 15.467085, 61.822025]]
### 12
mean: [-2.242127]
std: [2.860562]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.295557, 43.398100, 46.200074, 50.208670, 201.791462]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.325367,
0.305233,
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[
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"network.0.bias": [
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"network.2.weight": [
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[
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[
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],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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[
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[
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0.455554,
0.48751,
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"network.8.weight": [
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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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],
"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: [0.477513, 0.119292, 1.122483, -0.550143, -0.102263, 0.147534, -2.751656]
std: [1.804497, 0.932157, 1.324981, 1.327865, 1.099300, 1.190391, 1.983746]
pca: [[0.735774, -0.071374, 0.140805, -0.094677, 0.450201, 0.333706, 0.332734, 0.000000, 0.000000, 0.000000], [-0.234210, -0.166354, 0.415081, 0.036263, -0.392874, 0.085150, 0.763063, 0.000000, 0.000000, 0.000000], [-0.163045, -0.369101, 0.267617, 0.784794, 0.363324, 0.029344, -0.129594, 0.000000, 0.000000, 0.000000], [-0.155879, -0.236094, 0.685196, -0.529233, 0.228194, -0.141197, -0.313643, 0.000000, 0.000000, 0.000000], [-0.348338, -0.115317, -0.358185, -0.197375, 0.600415, -0.395726, 0.425455, 0.000000, 0.000000, 0.000000], [-0.394571, -0.266942, -0.244635, -0.210482, 0.093292, 0.808734, -0.078440, 0.000000, 0.000000, 0.000000], [-0.275454, 0.831084, 0.280404, 0.102333, 0.299484, 0.223478, 0.068499, 0.000000, 0.000000, 0.000000]]
fourier: [[27.858145, 27.951012, 30.147518, 36.952040, 42.976205], [12.042164, 12.239375, 12.308875, 16.888714, 19.779849], [21.062527, 23.595837, 24.379096, 25.417719, 101.023471], [21.118880, 21.586350, 22.895857, 25.004165, 49.512913], [16.346046, 17.789356, 18.454599, 19.370474, 20.189984], [17.064305, 18.720739, 19.711935, 20.666657, 21.900534], [29.713196, 34.581717, 35.272957, 41.376025, 247.649026]]
### 2
mean: [1.180336, 0.223616, 0.384744, -0.666641, 0.877637, 1.015694, 0.468954]
std: [1.458201, 0.401628, 0.804001, 0.553344, 1.178015, 1.265087, 0.826789]
pca: [[0.589623, 0.305176, -0.318372, 0.126680, 0.184116, -0.033131, 0.637815, 0.000000, 0.000000, 0.000000], [0.125096, 0.093537, 0.572367, 0.139796, 0.754238, -0.206032, -0.130887, 0.000000, 0.000000, 0.000000], [-0.275298, 0.481034, 0.307992, -0.093443, 0.009707, 0.731699, 0.231838, 0.000000, 0.000000, 0.000000], [-0.180089, -0.253386, 0.344153, 0.736566, -0.288082, -0.072550, 0.392605, 0.000000, 0.000000, 0.000000], [0.463557, 0.376453, 0.038137, 0.437268, -0.292388, 0.155624, -0.583979, 0.000000, 0.000000, 0.000000], [0.503116, -0.246027, 0.571524, -0.446717, -0.376065, 0.015324, 0.135977, 0.000000, 0.000000, 0.000000], [-0.245896, 0.632672, 0.172167, -0.149630, -0.295341, -0.625581, 0.093019, 0.000000, 0.000000, 0.000000]]
fourier: [[20.393392, 25.605321, 25.993113, 26.209953, 106.230208], [6.594171, 6.759975, 6.892115, 6.964873, 20.125477], [11.050957, 12.482546, 14.009187, 14.731448, 34.626937], [8.713775, 9.606997, 9.827356, 10.986393, 59.997690], [17.747231, 20.453862, 21.270070, 23.743899, 78.987354], [18.937821, 19.806489, 19.972174, 23.397587, 91.412508], [12.553774, 12.773438, 14.924586, 15.966921, 42.205835]]
### 4
mean: [0.242275, 1.572250, 1.143881, -0.051577, -0.508534, -0.956342, 1.382295]
std: [1.102234, 2.026017, 1.155558, 0.403766, 0.309235, 0.562703, 1.844626]
pca: [[-0.322271, 0.703562, 0.043594, 0.241994, 0.356910, -0.460080, -0.040275, 0.000000, 0.000000, 0.000000], [0.630672, 0.253254, 0.014623, -0.563143, -0.116021, -0.446924, 0.087005, 0.000000, 0.000000, 0.000000], [0.360047, -0.085632, -0.152155, 0.091183, 0.779921, 0.218753, 0.418853, 0.000000, 0.000000, 0.000000], [-0.092240, 0.450585, 0.489216, -0.391483, 0.045171, 0.627150, 0.022699, 0.000000, 0.000000, 0.000000], [-0.043264, -0.424298, 0.604477, -0.150730, 0.414859, -0.281728, -0.422503, 0.000000, 0.000000, 0.000000], [-0.169606, -0.151178, 0.482431, 0.107059, -0.207082, -0.239044, 0.777272, 0.000000, 0.000000, 0.000000], [0.574120, 0.166192, 0.370499, 0.654641, -0.183973, 0.104414, -0.179428, 0.000000, 0.000000, 0.000000]]
fourier: [[16.528273, 16.793332, 17.609289, 18.677927, 21.804772], [29.780513, 31.497671, 31.822551, 34.059543, 141.502489], [17.060003, 17.814649, 18.114152, 18.313538, 102.949325], [6.220267, 6.400032, 6.515583, 7.558746, 7.727519], [4.637135, 4.666077, 5.416064, 5.770169, 45.768091], [8.980095, 9.410279, 9.832557, 10.042418, 86.070785], [26.378007, 28.084811, 29.293088, 30.549509, 124.406543]]
### 6
mean: [-1.362154, 1.867164, -0.866148, 1.639470, -0.512230, 0.986339, 1.049448]
std: [0.781392, 2.264894, 0.258960, 2.017827, 0.094880, 1.060196, 1.784756]
pca: [[-0.190998, 0.865312, 0.103828, 0.314038, -0.076049, -0.095057, 0.300891, 0.000000, 0.000000, 0.000000], [0.602931, 0.366610, -0.237930, -0.135165, 0.586027, 0.126387, -0.260366, 0.000000, 0.000000, 0.000000], [-0.064845, 0.242913, 0.177522, -0.379502, -0.378805, 0.739188, -0.267133, 0.000000, 0.000000, 0.000000], [0.537974, -0.096799, -0.248212, 0.598440, -0.489985, 0.202352, 0.021018, 0.000000, 0.000000, 0.000000], [0.015699, -0.158081, 0.716440, 0.475198, 0.380554, 0.287109, -0.091715, 0.000000, 0.000000, 0.000000], [0.282283, 0.143204, 0.441368, -0.121086, -0.340228, -0.552401, -0.519075, 0.000000, 0.000000, 0.000000], [0.475861, -0.054391, 0.362483, -0.374812, -0.081446, -0.008110, 0.701442, 0.000000, 0.000000, 0.000000]]
fourier: [[11.986878, 12.412188, 12.775050, 15.440860, 122.593842], [33.468561, 33.827011, 35.022267, 35.671258, 168.044779], [3.948793, 4.033924, 4.189415, 5.030732, 77.953311], [29.983953, 31.086546, 31.399653, 33.127303, 147.552258], [1.688993, 1.849617, 2.010968, 2.221808, 46.100674], [15.278938, 16.115534, 16.591641, 16.615110, 88.770543], [26.327900, 27.603978, 27.612363, 29.150635, 94.450352]]
### 8
mean: [1.115386, -1.186199, 2.293868, 1.775368, 1.068636, -0.128349, -1.123967]
std: [1.274784, 1.088307, 2.446573, 2.131138, 1.204498, 0.355270, 0.941318]
pca: [[0.320561, 0.516699, -0.060153, -0.220849, 0.729919, -0.009950, -0.212106, 0.000000, 0.000000, 0.000000], [-0.273248, 0.754458, -0.277323, -0.107404, -0.402213, -0.218140, 0.241506, 0.000000, 0.000000, 0.000000], [0.615700, 0.051658, -0.273277, 0.669836, -0.097181, -0.268899, 0.114602, 0.000000, 0.000000, 0.000000], [0.536285, 0.176568, 0.632994, -0.305123, -0.424621, -0.022732, -0.081363, 0.000000, 0.000000, 0.000000], [0.303007, -0.316691, -0.350577, -0.573419, 0.046325, -0.220348, 0.552704, 0.000000, 0.000000, 0.000000], [0.089303, 0.170826, 0.112811, 0.165521, 0.080103, 0.756169, 0.586952, 0.000000, 0.000000, 0.000000], [-0.236854, 0.022261, 0.555411, 0.204213, 0.327313, -0.509067, 0.476381, 0.000000, 0.000000, 0.000000]]
fourier: [[19.212899, 19.287156, 20.765476, 22.409795, 100.384707], [16.449032, 16.475860, 16.916810, 18.212575, 106.757898], [37.005894, 37.120658, 39.188955, 42.535494, 206.448099], [32.075298, 32.167052, 34.380063, 36.860167, 159.783134], [18.314481, 18.382783, 19.001674, 20.586645, 96.177241], [5.319443, 5.333717, 5.829415, 6.274105, 11.551412], [14.336800, 14.398874, 14.963053, 16.343125, 101.157026]]
### 10
mean: [-0.146679, 0.905864, 2.763071, 1.855393, -0.359439, 2.107668, 0.686911]
std: [0.530701, 1.117838, 2.862306, 1.758271, 0.216608, 2.179453, 0.875886]
pca: [[-0.123325, 0.681924, 0.561310, 0.396274, 0.116315, 0.107457, -0.150307, 0.000000, 0.000000, 0.000000], [0.260766, 0.151226, -0.066719, 0.384968, -0.310309, -0.442184, 0.681661, 0.000000, 0.000000, 0.000000], [0.667734, -0.100267, 0.265421, -0.031310, -0.413532, 0.548786, -0.021793, 0.000000, 0.000000, 0.000000], [0.410169, -0.194571, -0.173663, 0.535423, 0.142321, -0.336124, -0.586372, 0.000000, 0.000000, 0.000000], [-0.050110, -0.322276, 0.685735, -0.272725, -0.232742, -0.525879, -0.135274, 0.000000, 0.000000, 0.000000], [0.508434, 0.107634, 0.148327, -0.328724, 0.728386, -0.131541, 0.228038, 0.000000, 0.000000, 0.000000], [0.204129, 0.590553, -0.296040, -0.473994, -0.337937, -0.291427, -0.313271, 0.000000, 0.000000, 0.000000]]
fourier: [[8.104944, 8.150862, 8.169871, 9.034901, 13.201095], [16.880578, 16.898929, 18.184750, 19.630396, 81.527724], [43.289279, 43.433465, 46.310914, 50.192934, 248.676356], [26.621459, 26.695564, 28.350659, 30.751659, 166.985385], [3.199952, 3.381265, 3.637757, 3.765003, 32.349527], [32.920492, 33.011043, 35.365759, 38.251809, 189.690095], [13.136527, 13.193693, 14.505523, 15.467085, 61.822025]]
### 12
mean: [-2.242127]
std: [2.860562]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.295557, 43.398100, 46.200074, 50.208670, 201.791462]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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9,715
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{"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": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7248, "learning_rate": 0.08690783105394817, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [-0.420630, 0.291262, -1.659746, 0.125594, -2.861252, -0.181670, 1.049102]
std: [1.385154, 2.264116, 1.308221, 2.788777, 2.532812, 2.387668, 2.655301]
pca: [[0.049268, 0.403579, 0.202379, 0.812083, -0.257720, -0.077550, -0.248649, 0.000000, 0.000000, 0.000000], [-0.427950, 0.283611, 0.211644, -0.018159, 0.147704, 0.814155, 0.081468, 0.000000, 0.000000, 0.000000], [0.243085, 0.125391, 0.209772, 0.067687, -0.246171, -0.014646, 0.903209, 0.000000, 0.000000, 0.000000], [0.504879, 0.430590, -0.251530, -0.375876, -0.471018, 0.281146, -0.232890, 0.000000, 0.000000, 0.000000], [0.395303, 0.057577, 0.809447, -0.230052, 0.293517, -0.060447, -0.206120, 0.000000, 0.000000, 0.000000], [0.437912, 0.240557, -0.389163, 0.227255, 0.721608, 0.109640, 0.120553, 0.000000, 0.000000, 0.000000], [-0.390394, 0.703118, -0.018044, -0.299595, 0.149783, -0.486010, 0.067041, 0.000000, 0.000000, 0.000000]]
fourier: [[20.044123, 21.159106, 22.687862, 24.983467, 37.856722], [35.854549, 38.131109, 41.137780, 42.262707, 53.680720], [20.435620, 21.325428, 25.479147, 26.619928, 149.377129], [43.531106, 44.273480, 44.787752, 45.512087, 50.535076], [43.674092, 44.084371, 44.621560, 46.624005, 257.512676], [37.554101, 40.225921, 40.347952, 42.109482, 44.809129], [38.885216, 47.986237, 52.046563, 64.826391, 94.419201]]
### 2
mean: [-1.993801, -0.546098, -1.757857, -1.460311, -1.048624, -1.157366, -0.643628]
std: [3.468387, 1.016363, 1.600840, 1.335131, 0.537264, 3.084315, 2.723761]
pca: [[0.631819, 0.132279, -0.246564, -0.115239, 0.053540, -0.465828, -0.537931, 0.000000, 0.000000, 0.000000], [0.163969, 0.185198, 0.790852, -0.019903, 0.329853, -0.381105, 0.242753, 0.000000, 0.000000, 0.000000], [0.150970, 0.640649, -0.030723, -0.595655, 0.049594, 0.446794, 0.094573, 0.000000, 0.000000, 0.000000], [-0.010585, 0.621787, 0.100503, 0.691459, -0.285463, 0.109990, -0.177386, 0.000000, 0.000000, 0.000000], [-0.020334, 0.229247, -0.516049, 0.265672, 0.640547, -0.162401, 0.416497, 0.000000, 0.000000, 0.000000], [0.562498, -0.097814, -0.101246, 0.079853, -0.489720, -0.032565, 0.645380, 0.000000, 0.000000, 0.000000], [0.483939, -0.298383, 0.161732, 0.276488, 0.392754, 0.631352, -0.145968, 0.000000, 0.000000, 0.000000]]
fourier: [[58.981735, 61.329756, 64.326314, 77.573675, 179.442043], [14.653567, 15.845667, 17.117136, 21.223841, 49.148796], [28.113664, 30.336597, 31.536380, 36.780495, 158.207176], [20.799303, 21.276157, 22.745412, 22.985570, 131.427968], [8.058749, 8.233164, 8.637043, 9.123384, 94.376180], [56.179105, 57.296809, 63.146941, 65.219355, 104.162941], [49.231039, 52.776481, 53.688720, 57.926489, 61.626838]]
### 4
mean: [0.354546, -1.250238, -1.545515, 0.033621, -0.232547, -0.906018, 0.300214]
std: [0.896320, 1.545475, 1.688351, 0.940719, 0.422469, 0.992884, 0.986196]
pca: [[-0.296029, 0.508100, -0.488476, -0.176718, 0.561054, -0.118249, 0.235794, 0.000000, 0.000000, 0.000000], [0.514369, -0.274979, -0.473918, 0.321821, 0.384653, -0.021011, -0.428071, 0.000000, 0.000000, 0.000000], [0.562328, -0.168362, 0.052841, -0.086850, 0.145538, 0.043548, 0.788688, 0.000000, 0.000000, 0.000000], [-0.313332, -0.007842, -0.076966, 0.858756, -0.036358, 0.240643, 0.314874, 0.000000, 0.000000, 0.000000], [0.139383, 0.260519, 0.088123, -0.141256, 0.122558, 0.922337, -0.138768, 0.000000, 0.000000, 0.000000], [0.327727, 0.581294, 0.557179, 0.312049, 0.231727, -0.271066, -0.140338, 0.000000, 0.000000, 0.000000], [-0.326450, -0.481705, 0.458108, -0.053569, 0.667861, 0.039846, -0.032108, 0.000000, 0.000000, 0.000000]]
fourier: [[12.334420, 12.512986, 15.572750, 17.861636, 31.909121], [20.932027, 22.479348, 26.374250, 30.928502, 112.521430], [23.173228, 24.941930, 28.326335, 33.648657, 139.096401], [12.396613, 12.835056, 13.997496, 15.584527, 18.654305], [5.889670, 6.371551, 6.762892, 8.186220, 20.929202], [14.141423, 14.872844, 16.038935, 19.246063, 81.541577], [13.491542, 15.433471, 15.468859, 19.351449, 27.019268]]
### 6
mean: [-0.398817, 0.185959, -0.451417, -1.106881, -0.524000, -0.041542, 0.154297]
std: [0.451549, 0.804902, 0.329292, 0.854630, 0.397146, 0.649853, 1.094983]
pca: [[-0.241409, -0.527873, 0.715245, 0.368892, 0.062528, -0.016194, 0.106032, 0.000000, 0.000000, 0.000000], [0.432540, -0.033240, -0.000256, 0.302983, 0.445780, -0.449934, -0.564664, 0.000000, 0.000000, 0.000000], [-0.174669, 0.645860, 0.594067, -0.241832, -0.163340, -0.188351, -0.280717, 0.000000, 0.000000, 0.000000], [-0.459148, 0.223427, -0.304835, 0.690992, -0.343837, -0.197355, -0.108152, 0.000000, 0.000000, 0.000000], [-0.212937, 0.345409, 0.017999, 0.243399, 0.644592, 0.599836, -0.021933, 0.000000, 0.000000, 0.000000], [0.349197, -0.092603, 0.094927, 0.161492, -0.475712, 0.601991, -0.495681, 0.000000, 0.000000, 0.000000], [0.588237, 0.353989, 0.182345, 0.388388, -0.103275, -0.026002, 0.577262, 0.000000, 0.000000, 0.000000]]
fourier: [[6.069880, 6.078184, 7.275497, 9.325147, 35.893491], [11.153633, 11.578829, 12.481302, 16.361910, 16.736331], [4.520562, 4.549840, 4.910675, 6.475433, 40.627531], [11.913390, 12.431742, 13.145372, 17.313644, 99.619256], [5.538606, 5.862710, 5.900865, 7.976844, 47.159957], [8.604167, 9.031163, 9.394372, 10.036692, 13.189895], [14.349052, 15.152606, 15.569348, 17.279261, 22.342255]]
### 8
mean: [-0.362978, 0.476814, -0.266428, -0.347066, 1.134186, 0.346824, -0.582156]
std: [0.280879, 1.044128, 0.122124, 0.411963, 0.520966, 0.980006, 0.587280]
pca: [[-0.163991, -0.450672, -0.137632, 0.535010, -0.094528, 0.425160, -0.524525, 0.000000, 0.000000, 0.000000], [0.609996, -0.199033, -0.088866, 0.444690, 0.002388, 0.170182, 0.594707, 0.000000, 0.000000, 0.000000], [-0.071189, 0.326223, 0.373235, -0.040149, 0.517332, 0.689385, 0.068638, 0.000000, 0.000000, 0.000000], [-0.240649, 0.178003, -0.491268, 0.366237, 0.656368, -0.319097, 0.047824, 0.000000, 0.000000, 0.000000], [-0.304269, -0.489427, 0.652260, 0.176519, 0.231621, -0.337334, 0.209370, 0.000000, 0.000000, 0.000000], [-0.572526, -0.270059, -0.358953, -0.244490, -0.156154, 0.312463, 0.537255, 0.000000, 0.000000, 0.000000], [-0.343025, 0.553808, 0.195503, 0.537902, -0.463222, -0.042127, 0.178103, 0.000000, 0.000000, 0.000000]]
fourier: [[3.824554, 3.920843, 4.282057, 5.779226, 32.667982], [14.100067, 14.355336, 16.032073, 21.452165, 42.913254], [1.634313, 1.679254, 1.907290, 2.509265, 23.978553], [5.480648, 5.708103, 6.289865, 8.441226, 31.235943], [7.065511, 7.280866, 8.022878, 10.745051, 102.076753], [13.315538, 13.461723, 15.000019, 20.132081, 31.214116], [7.816963, 8.103548, 9.040482, 12.056747, 52.394087]]
### 10
mean: [-2.719604]
std: [1.173269]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.697249, 16.235124, 17.383154, 23.462058, 244.764406]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
mean: [-0.420630, 0.291262, -1.659746, 0.125594, -2.861252, -0.181670, 1.049102]
std: [1.385154, 2.264116, 1.308221, 2.788777, 2.532812, 2.387668, 2.655301]
pca: [[0.049268, 0.403579, 0.202379, 0.812083, -0.257720, -0.077550, -0.248649, 0.000000, 0.000000, 0.000000], [-0.427950, 0.283611, 0.211644, -0.018159, 0.147704, 0.814155, 0.081468, 0.000000, 0.000000, 0.000000], [0.243085, 0.125391, 0.209772, 0.067687, -0.246171, -0.014646, 0.903209, 0.000000, 0.000000, 0.000000], [0.504879, 0.430590, -0.251530, -0.375876, -0.471018, 0.281146, -0.232890, 0.000000, 0.000000, 0.000000], [0.395303, 0.057577, 0.809447, -0.230052, 0.293517, -0.060447, -0.206120, 0.000000, 0.000000, 0.000000], [0.437912, 0.240557, -0.389163, 0.227255, 0.721608, 0.109640, 0.120553, 0.000000, 0.000000, 0.000000], [-0.390394, 0.703118, -0.018044, -0.299595, 0.149783, -0.486010, 0.067041, 0.000000, 0.000000, 0.000000]]
fourier: [[20.044123, 21.159106, 22.687862, 24.983467, 37.856722], [35.854549, 38.131109, 41.137780, 42.262707, 53.680720], [20.435620, 21.325428, 25.479147, 26.619928, 149.377129], [43.531106, 44.273480, 44.787752, 45.512087, 50.535076], [43.674092, 44.084371, 44.621560, 46.624005, 257.512676], [37.554101, 40.225921, 40.347952, 42.109482, 44.809129], [38.885216, 47.986237, 52.046563, 64.826391, 94.419201]]
### 2
mean: [-1.993801, -0.546098, -1.757857, -1.460311, -1.048624, -1.157366, -0.643628]
std: [3.468387, 1.016363, 1.600840, 1.335131, 0.537264, 3.084315, 2.723761]
pca: [[0.631819, 0.132279, -0.246564, -0.115239, 0.053540, -0.465828, -0.537931, 0.000000, 0.000000, 0.000000], [0.163969, 0.185198, 0.790852, -0.019903, 0.329853, -0.381105, 0.242753, 0.000000, 0.000000, 0.000000], [0.150970, 0.640649, -0.030723, -0.595655, 0.049594, 0.446794, 0.094573, 0.000000, 0.000000, 0.000000], [-0.010585, 0.621787, 0.100503, 0.691459, -0.285463, 0.109990, -0.177386, 0.000000, 0.000000, 0.000000], [-0.020334, 0.229247, -0.516049, 0.265672, 0.640547, -0.162401, 0.416497, 0.000000, 0.000000, 0.000000], [0.562498, -0.097814, -0.101246, 0.079853, -0.489720, -0.032565, 0.645380, 0.000000, 0.000000, 0.000000], [0.483939, -0.298383, 0.161732, 0.276488, 0.392754, 0.631352, -0.145968, 0.000000, 0.000000, 0.000000]]
fourier: [[58.981735, 61.329756, 64.326314, 77.573675, 179.442043], [14.653567, 15.845667, 17.117136, 21.223841, 49.148796], [28.113664, 30.336597, 31.536380, 36.780495, 158.207176], [20.799303, 21.276157, 22.745412, 22.985570, 131.427968], [8.058749, 8.233164, 8.637043, 9.123384, 94.376180], [56.179105, 57.296809, 63.146941, 65.219355, 104.162941], [49.231039, 52.776481, 53.688720, 57.926489, 61.626838]]
### 4
mean: [0.354546, -1.250238, -1.545515, 0.033621, -0.232547, -0.906018, 0.300214]
std: [0.896320, 1.545475, 1.688351, 0.940719, 0.422469, 0.992884, 0.986196]
pca: [[-0.296029, 0.508100, -0.488476, -0.176718, 0.561054, -0.118249, 0.235794, 0.000000, 0.000000, 0.000000], [0.514369, -0.274979, -0.473918, 0.321821, 0.384653, -0.021011, -0.428071, 0.000000, 0.000000, 0.000000], [0.562328, -0.168362, 0.052841, -0.086850, 0.145538, 0.043548, 0.788688, 0.000000, 0.000000, 0.000000], [-0.313332, -0.007842, -0.076966, 0.858756, -0.036358, 0.240643, 0.314874, 0.000000, 0.000000, 0.000000], [0.139383, 0.260519, 0.088123, -0.141256, 0.122558, 0.922337, -0.138768, 0.000000, 0.000000, 0.000000], [0.327727, 0.581294, 0.557179, 0.312049, 0.231727, -0.271066, -0.140338, 0.000000, 0.000000, 0.000000], [-0.326450, -0.481705, 0.458108, -0.053569, 0.667861, 0.039846, -0.032108, 0.000000, 0.000000, 0.000000]]
fourier: [[12.334420, 12.512986, 15.572750, 17.861636, 31.909121], [20.932027, 22.479348, 26.374250, 30.928502, 112.521430], [23.173228, 24.941930, 28.326335, 33.648657, 139.096401], [12.396613, 12.835056, 13.997496, 15.584527, 18.654305], [5.889670, 6.371551, 6.762892, 8.186220, 20.929202], [14.141423, 14.872844, 16.038935, 19.246063, 81.541577], [13.491542, 15.433471, 15.468859, 19.351449, 27.019268]]
### 6
mean: [-0.398817, 0.185959, -0.451417, -1.106881, -0.524000, -0.041542, 0.154297]
std: [0.451549, 0.804902, 0.329292, 0.854630, 0.397146, 0.649853, 1.094983]
pca: [[-0.241409, -0.527873, 0.715245, 0.368892, 0.062528, -0.016194, 0.106032, 0.000000, 0.000000, 0.000000], [0.432540, -0.033240, -0.000256, 0.302983, 0.445780, -0.449934, -0.564664, 0.000000, 0.000000, 0.000000], [-0.174669, 0.645860, 0.594067, -0.241832, -0.163340, -0.188351, -0.280717, 0.000000, 0.000000, 0.000000], [-0.459148, 0.223427, -0.304835, 0.690992, -0.343837, -0.197355, -0.108152, 0.000000, 0.000000, 0.000000], [-0.212937, 0.345409, 0.017999, 0.243399, 0.644592, 0.599836, -0.021933, 0.000000, 0.000000, 0.000000], [0.349197, -0.092603, 0.094927, 0.161492, -0.475712, 0.601991, -0.495681, 0.000000, 0.000000, 0.000000], [0.588237, 0.353989, 0.182345, 0.388388, -0.103275, -0.026002, 0.577262, 0.000000, 0.000000, 0.000000]]
fourier: [[6.069880, 6.078184, 7.275497, 9.325147, 35.893491], [11.153633, 11.578829, 12.481302, 16.361910, 16.736331], [4.520562, 4.549840, 4.910675, 6.475433, 40.627531], [11.913390, 12.431742, 13.145372, 17.313644, 99.619256], [5.538606, 5.862710, 5.900865, 7.976844, 47.159957], [8.604167, 9.031163, 9.394372, 10.036692, 13.189895], [14.349052, 15.152606, 15.569348, 17.279261, 22.342255]]
### 8
mean: [-0.362978, 0.476814, -0.266428, -0.347066, 1.134186, 0.346824, -0.582156]
std: [0.280879, 1.044128, 0.122124, 0.411963, 0.520966, 0.980006, 0.587280]
pca: [[-0.163991, -0.450672, -0.137632, 0.535010, -0.094528, 0.425160, -0.524525, 0.000000, 0.000000, 0.000000], [0.609996, -0.199033, -0.088866, 0.444690, 0.002388, 0.170182, 0.594707, 0.000000, 0.000000, 0.000000], [-0.071189, 0.326223, 0.373235, -0.040149, 0.517332, 0.689385, 0.068638, 0.000000, 0.000000, 0.000000], [-0.240649, 0.178003, -0.491268, 0.366237, 0.656368, -0.319097, 0.047824, 0.000000, 0.000000, 0.000000], [-0.304269, -0.489427, 0.652260, 0.176519, 0.231621, -0.337334, 0.209370, 0.000000, 0.000000, 0.000000], [-0.572526, -0.270059, -0.358953, -0.244490, -0.156154, 0.312463, 0.537255, 0.000000, 0.000000, 0.000000], [-0.343025, 0.553808, 0.195503, 0.537902, -0.463222, -0.042127, 0.178103, 0.000000, 0.000000, 0.000000]]
fourier: [[3.824554, 3.920843, 4.282057, 5.779226, 32.667982], [14.100067, 14.355336, 16.032073, 21.452165, 42.913254], [1.634313, 1.679254, 1.907290, 2.509265, 23.978553], [5.480648, 5.708103, 6.289865, 8.441226, 31.235943], [7.065511, 7.280866, 8.022878, 10.745051, 102.076753], [13.315538, 13.461723, 15.000019, 20.132081, 31.214116], [7.816963, 8.103548, 9.040482, 12.056747, 52.394087]]
### 10
mean: [-2.719604]
std: [1.173269]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.697249, 16.235124, 17.383154, 23.462058, 244.764406]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.032054, -0.083421, -0.424884, -0.307543, 0.617312], [1.23936, -0.566187, -0.169344, 0.09214, -0.13317], [-0.527644, -0.045495, -0.233087, -0.039738, 0.295179], [-1.201498, -0.11401, 0.158578, 0.134649, 0.919407], [-0.789502, -0.358008, -0.586832, 0.02011, 0.036353], [-1.170957, 0.22236, 0.277187, -0.231095, 0.78238], [1.225932, -0.905048, 0.018391, 0.227877, 0.373354]], "network.0.bias": [0.477186, 0.101061, -0.712167, 0.074609, -0.088521, -0.178047, 0.18514], "network.2.weight": [[-0.632222, -0.280887, -0.18682, 0.408543, 0.174725, 0.366127, -1.257791], [-0.593054, 0.050649, -0.287784, -0.09359, 0.058263, 0.322173, -0.415288], [-0.223411, -0.017625, -0.300708, -0.403514, -0.328093, -0.231732, -0.613692], [-0.416895, -0.277163, -0.182296, -0.592816, -0.165114, -0.216112, -0.017995], [0.036588, -0.122241, 0.056032, -0.032379, -0.134157, -0.438902, 0.004831], [-0.546183, -0.285741, -0.09643, 0.4422, 0.070022, 0.570591, -0.988253], [-0.622825, -0.168242, 0.089291, 0.653024, -0.537788, 0.575772, -0.785445]], "network.2.bias": [-0.20574, 0.129606, -0.124899, -0.246547, -0.592019, -0.000698, -0.105216], "network.4.weight": [[-0.039291, -0.347025, 0.172751, 0.104466, -0.092308, 0.445538, 0.510615], [-0.325803, -0.14892, 0.046572, 0.156686, -0.328925, -0.342212, -0.975964], [-0.353782, 0.026753, -0.172229, 0.009417, -0.318422, -0.654145, -0.874744], [0.155936, 0.058944, 0.388796, -0.363073, 0.342508, 0.494853, 0.395825], [-0.237835, -0.044413, 0.182859, 0.040539, 0.083074, -0.234709, -0.095428], [-0.602896, 0.118466, 0.034013, 0.206832, -0.4837, -0.596784, -0.19745], [0.559159, 0.341566, -0.078232, 0.060335, 0.217807, 0.242377, 0.431367]], "network.4.bias": [-0.159843, -0.343565, -0.561696, -0.51863, 0.007143, -0.352399, -0.270376], "network.6.weight": [[-0.170801, -0.399406, -0.173734, -0.524505, -0.340912, 0.127894, 0.106786], [0.22903, 0.178493, -0.724067, 0.327224, -0.02801, 0.197913, 0.403685], [0.171105, 0.029367, -0.373477, -0.224571, -0.261539, 0.127318, -0.328589], [-0.240765, -0.214832, 0.166037, -0.202329, -0.145532, -0.223393, -0.555331], [-0.023203, 0.127506, 0.405684, -0.101694, -0.333028, 0.551747, -0.333301], [0.182982, -0.537786, -0.007585, 0.216155, 0.102263, -0.28826, 0.369079], [0.448943, -0.149673, -0.323785, 0.452623, -0.121026, 0.1223, 0.414928]], "network.6.bias": [-0.179886, -0.219023, -0.296447, -0.672082, -0.323783, -0.370384, -0.399588], "network.8.weight": [[-0.301613, -0.043405, -0.267119, 0.3175, 0.373205, -0.326876, -0.078959], [0.170815, 0.461373, -0.037226, 0.610896, 0.247764, 0.338666, 0.547134], [-0.189521, -0.019598, -0.128256, 0.017886, 0.151952, 0.133934, -0.185037], [-0.001049, -0.371912, -0.235576, -0.144079, -0.244448, -0.154551, -0.060091], [-0.12283, 0.112087, 0.286874, -0.23905, 0.350552, -0.348994, -0.43411], [0.047467, -0.452222, 0.158618, -0.379639, 0.043298, -0.567723, -0.361861], [0.131182, -0.329101, 0.335522, -0.377809, 0.144554, 0.016311, -0.368196]], "network.8.bias": [-0.242448, 0.011409, -0.209632, -0.161984, 1.360145, 0.779777, -0.316427], "network.10.weight": [[-0.270761, 0.278819, -0.069316, 0.185991, -1.609547, -0.871143, 0.142223]], "network.10.bias": [-0.449075]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6791400909423828, "train_acc": 0.495, "val_loss": 0.6865768432617188, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6519634127616882, "train_acc": 0.635, "val_loss": 0.6823117136955261, "val_acc": 0.66}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6132853031158447, "train_acc": 0.665, "val_loss": 0.7035837769508362, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6667911410331726, "train_acc": 0.56, "val_loss": 0.6234405040740967, "val_acc": 0.64}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.604625940322876, "train_acc": 0.705, "val_loss": 0.5613017678260803, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5266679525375366, "train_acc": 0.795, "val_loss": 0.6004611849784851, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5246117413043976, "train_acc": 0.755, "val_loss": 0.5310189127922058, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4682406932115555, "train_acc": 0.79, "val_loss": 0.5867525339126587, "val_acc": 0.7}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.43588443100452423, "train_acc": 0.78, "val_loss": 0.47556790709495544, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.4494549632072449, "train_acc": 0.845, "val_loss": 0.46560317277908325, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3313967436552048, "train_acc": 0.85, "val_loss": 0.6716520190238953, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.4008711576461792, "train_acc": 0.82, "val_loss": 0.5145893692970276, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.39061981439590454, "train_acc": 0.875, "val_loss": 0.5448212027549744, "val_acc": 0.8}], "summary": {"total_epochs": 13, "degraded_epochs": 4, "improved_epochs": 9, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6865768432617188, "final_val_loss": 0.6234405040740967, "initial_val_acc": 0.52, "final_val_acc": 0.64, "best_val_acc": 0.64}, "improved_stage": {"initial_val_loss": 0.5613017678260803, "final_val_loss": 0.5448212027549744, "initial_val_acc": 0.68, "final_val_acc": 0.8, "best_val_acc": 0.8, "best_epoch": 9}, "improvement": 0.16000000000000003, "first_improvement_epoch": 3}}
|
9,716
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.62, "improved_accuracy": 0.96, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5502, "learning_rate": 0.03607279207043764, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.358892,
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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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## Activation Signature
### 0
mean: [0.449126, 0.646762, 0.646124, -0.495414, 0.010883, -1.504565, -0.593896, 2.142420]
std: [1.154637, 1.417638, 1.565840, 1.331813, 1.056539, 1.008418, 1.417203, 1.710657]
pca: [[-0.013946, 0.371305, -0.331108, -0.268645, 0.772206, 0.157622, 0.242454, -0.014308, 0.000000, 0.000000], [0.493260, 0.331453, 0.175272, -0.003186, 0.060566, -0.325170, -0.263916, -0.661096, 0.000000, 0.000000], [0.519451, 0.421323, -0.045135, 0.098983, -0.107309, -0.201622, -0.053334, 0.697002, 0.000000, 0.000000], [-0.173708, 0.358904, -0.211107, 0.796782, -0.017568, 0.352325, -0.145624, -0.126246, 0.000000, 0.000000], [0.384674, 0.109987, 0.193862, -0.235072, -0.280670, 0.773027, 0.242952, -0.108239, 0.000000, 0.000000], [0.254595, -0.170130, -0.450466, 0.218487, -0.207635, -0.250668, 0.714752, -0.196885, 0.000000, 0.000000], [0.251746, -0.348390, 0.574899, 0.423346, 0.487711, 0.025067, 0.238520, 0.100674, 0.000000, 0.000000], [-0.424650, 0.532475, 0.491968, -0.030707, -0.168690, -0.208811, 0.469814, -0.019598, 0.000000, 0.000000]]
fourier: [[17.410898, 20.103920, 24.067247, 24.523587, 40.421312], [22.606701, 24.610818, 26.876109, 30.041345, 58.208555], [24.641909, 24.917703, 31.770018, 31.879140, 58.151191], [20.653512, 21.095326, 24.747594, 31.195462, 44.587235], [15.106619, 16.651612, 17.008711, 17.220848, 19.551034], [14.342060, 15.709012, 17.559113, 18.172444, 135.410878], [22.199305, 23.159355, 23.484559, 31.227173, 53.450627], [26.073043, 28.800462, 29.571725, 30.518821, 192.817767]]
### 2
mean: [-1.027181, 0.187997, 1.993681, -0.090513, -0.821443, -0.344737, -0.928076, -0.147223]
std: [0.806001, 1.041411, 1.209498, 0.746621, 0.756303, 0.463856, 0.426352, 1.311666]
pca: [[0.040857, -0.504904, -0.297810, -0.519480, 0.530475, -0.210325, 0.206682, 0.128429, 0.000000, 0.000000], [0.508262, 0.198625, 0.121179, 0.105289, 0.041297, 0.194077, 0.565461, 0.563320, 0.000000, 0.000000], [-0.404347, 0.592484, -0.108530, 0.043059, 0.647717, 0.224503, 0.043443, 0.002779, 0.000000, 0.000000], [0.370651, 0.044925, -0.219091, 0.461156, 0.307039, -0.436535, -0.504876, 0.245354, 0.000000, 0.000000], [0.140147, -0.444990, 0.118522, 0.542349, 0.340874, 0.365828, 0.186842, -0.434991, 0.000000, 0.000000], [0.170867, -0.060010, 0.741285, -0.310878, 0.265141, 0.203139, -0.441778, 0.119670, 0.000000, 0.000000], [-0.089864, -0.227341, -0.419269, 0.002149, -0.128780, 0.672986, -0.368728, 0.398741, 0.000000, 0.000000], [0.618231, 0.315061, -0.312261, -0.337259, 0.001271, 0.221645, -0.121287, -0.493394, 0.000000, 0.000000]]
fourier: [[11.874227, 12.283229, 13.102398, 16.256921, 92.446303], [16.677736, 16.919748, 18.281511, 19.674716, 22.541741], [22.213686, 23.163288, 23.259763, 23.714771, 179.431301], [12.430961, 12.651723, 13.828951, 14.129032, 16.240100], [13.606224, 13.861585, 15.000724, 15.079621, 73.929866], [6.830913, 7.005785, 7.616583, 10.198282, 31.026376], [6.444614, 6.569234, 6.848595, 8.689764, 83.526853], [20.381035, 21.348751, 22.267823, 25.743360, 25.803652]]
### 4
mean: [1.044208, 0.145461, 0.670588, -1.593473, 1.216685, 0.836153, 0.805751, -1.286663]
std: [0.343830, 0.355901, 0.655228, 0.723354, 0.682267, 0.358085, 0.519047, 0.613888]
pca: [[-0.137892, 0.349181, -0.135450, 0.364334, 0.561813, 0.391109, -0.481677, -0.085789, 0.000000, 0.000000], [-0.138378, -0.365277, -0.164150, 0.469666, -0.424653, -0.166818, -0.363826, -0.509278, 0.000000, 0.000000], [-0.496806, -0.015687, 0.225023, 0.200023, -0.447526, 0.535540, 0.057897, 0.414557, 0.000000, 0.000000], [0.547594, 0.049115, -0.247653, 0.352586, -0.119736, 0.471522, 0.491259, -0.184596, 0.000000, 0.000000], [-0.286786, 0.682154, -0.498883, -0.177280, -0.337242, -0.134014, 0.110550, -0.167915, 0.000000, 0.000000], [-0.075105, 0.408594, 0.689552, 0.350263, 0.025945, -0.249743, 0.270526, -0.304983, 0.000000, 0.000000], [-0.371495, -0.201905, -0.342829, 0.439080, 0.337929, -0.342687, 0.457194, 0.265041, 0.000000, 0.000000], [0.435048, 0.262561, -0.029028, 0.368029, -0.246613, -0.335118, -0.310642, 0.579557, 0.000000, 0.000000]]
fourier: [[5.861517, 5.980329, 6.413905, 7.608552, 93.978742], [5.720346, 5.754341, 5.926516, 6.853478, 13.091486], [9.151521, 11.214897, 11.243318, 12.123890, 60.352939], [10.611795, 11.862058, 12.033019, 13.340223, 143.412601], [11.595713, 11.689742, 12.103166, 15.475929, 109.501647], [6.799073, 6.838524, 7.006230, 7.439780, 75.253775], [7.482868, 7.549088, 7.940015, 8.371309, 72.517584], [8.933637, 9.454315, 9.814549, 9.943827, 115.799655]]
### 6
mean: [1.191005, 1.293259, -0.324162, 1.390821, 0.641861, 0.091550, -0.502742, 1.208621]
std: [0.577907, 0.603746, 0.516813, 0.575772, 0.351655, 0.734922, 0.196117, 0.633653]
pca: [[-0.386381, 0.291166, 0.235907, -0.030842, 0.162591, -0.131009, -0.106314, 0.808967, 0.000000, 0.000000], [-0.399275, 0.332366, -0.433407, -0.334309, 0.026977, -0.479418, -0.311594, -0.320698, 0.000000, 0.000000], [0.325554, 0.373244, -0.368041, 0.515099, 0.282790, 0.232946, -0.463742, 0.068060, 0.000000, 0.000000], [-0.404028, 0.007053, 0.601055, 0.348973, -0.095837, 0.088566, -0.437275, -0.381346, 0.000000, 0.000000], [-0.244556, -0.076099, -0.140210, 0.662204, 0.180208, -0.446854, 0.489399, -0.067551, 0.000000, 0.000000], [0.423976, 0.686605, 0.386641, -0.016287, -0.196900, -0.291831, 0.238944, -0.134280, 0.000000, 0.000000], [0.133787, -0.071750, 0.279766, -0.237588, 0.893180, -0.085713, 0.023787, -0.191189, 0.000000, 0.000000], [-0.405712, 0.427818, -0.111204, -0.070350, 0.121107, 0.631425, 0.433785, -0.183088, 0.000000, 0.000000]]
fourier: [[11.044201, 11.203519, 11.443581, 12.229511, 107.190401], [11.462319, 11.968347, 12.243602, 12.552757, 116.393282], [7.974774, 8.281396, 8.349983, 8.496253, 29.174540], [10.390773, 10.494584, 10.603840, 11.165185, 125.173919], [6.071224, 6.099149, 6.257207, 6.758897, 57.767491], [10.809600, 11.418859, 11.444790, 11.641326, 12.314328], [3.676394, 3.722656, 3.919677, 4.075884, 45.246743], [12.174222, 12.213513, 12.455741, 13.721402, 108.775872]]
### 8
mean: [-1.163220, -1.690104, 2.390239, 0.308298, 2.633608, 1.378154, -1.412222, -1.280315]
std: [0.856928, 0.929233, 1.109050, 0.148096, 1.436478, 0.820070, 0.956739, 1.076519]
pca: [[-0.309363, 0.325671, -0.195264, -0.175397, -0.083540, 0.165917, 0.676085, 0.487588, 0.000000, 0.000000], [-0.336406, -0.293738, 0.332264, -0.002206, 0.180236, 0.761358, -0.212396, 0.181332, 0.000000, 0.000000], [0.397284, 0.570655, -0.263395, 0.243763, -0.017178, 0.319766, -0.422277, 0.326891, 0.000000, 0.000000], [0.002158, 0.416611, 0.011473, -0.319210, 0.714897, 0.117051, 0.095237, -0.436526, 0.000000, 0.000000], [0.523371, -0.012081, 0.145004, -0.103719, -0.414534, 0.463527, 0.383869, -0.400128, 0.000000, 0.000000], [0.297974, 0.157311, 0.793244, 0.168269, 0.188123, -0.229275, 0.172247, 0.333599, 0.000000, 0.000000], [-0.347266, 0.232231, 0.048977, 0.806664, -0.031281, 0.064251, 0.193044, -0.360550, 0.000000, 0.000000], [-0.387283, 0.479187, 0.359588, -0.343710, -0.490872, -0.072809, -0.310029, -0.174862, 0.000000, 0.000000]]
fourier: [[14.201894, 15.547046, 15.880708, 16.601216, 104.689831], [18.004202, 18.146679, 18.282918, 18.300851, 152.109354], [21.600611, 21.702794, 21.715121, 22.738561, 215.121517], [2.248210, 2.652540, 2.843645, 3.009016, 27.746819], [26.155569, 27.142057, 27.513826, 28.355623, 237.024723], [15.712390, 15.782106, 15.936314, 15.975295, 124.033882], [16.176113, 17.566936, 18.118422, 18.863486, 127.099980], [17.953138, 19.341492, 19.752650, 20.894163, 115.228313]]
### 10
mean: [3.852925, 1.104087, -1.490007, -1.216480, 2.933144, 2.481522, 1.995877, -2.303647]
std: [2.015190, 0.538740, 0.846404, 0.686037, 1.590908, 1.367594, 0.865598, 1.280693]
pca: [[0.575574, 0.063906, -0.462208, 0.119412, -0.150418, -0.297605, -0.262616, 0.506530, 0.000000, 0.000000], [0.152605, -0.257408, 0.333448, -0.109319, 0.129585, -0.213526, 0.709841, 0.470164, 0.000000, 0.000000], [-0.236046, 0.687044, -0.019466, 0.358712, -0.338472, 0.232690, 0.312351, 0.277359, 0.000000, 0.000000], [-0.190238, -0.616476, 0.076084, 0.649401, -0.317042, 0.148549, -0.112065, 0.145309, 0.000000, 0.000000], [0.454390, -0.046843, -0.356860, 0.353356, 0.196303, 0.254508, 0.461055, -0.472488, 0.000000, 0.000000], [0.390325, 0.191154, 0.581991, 0.265374, 0.411980, 0.326447, -0.322143, 0.147980, 0.000000, 0.000000], [0.246884, -0.170503, -0.018600, -0.476863, -0.412876, 0.702236, 0.017329, 0.135388, 0.000000, 0.000000], [-0.365707, -0.098887, -0.450111, -0.026666, 0.605619, 0.353763, -0.019699, 0.401070, 0.000000, 0.000000]]
fourier: [[34.953912, 37.748106, 37.905033, 41.256672, 346.763232], [9.184716, 9.606428, 9.608147, 11.182324, 99.367856], [14.378162, 14.471031, 14.845954, 17.777541, 134.100591], [12.602407, 13.469484, 13.474155, 13.611535, 109.483175], [27.231524, 29.637562, 29.803503, 32.704973, 263.982909], [23.938776, 25.835807, 25.914672, 27.521223, 223.336935], [14.354798, 15.811846, 15.900611, 17.885329, 179.628938], [22.238645, 24.055996, 24.064449, 26.022528, 207.328260]]
### 12
mean: [-4.300024]
std: [2.140765]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.939086, 40.341340, 40.851078, 43.407726, 387.002144]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [0.449126, 0.646762, 0.646124, -0.495414, 0.010883, -1.504565, -0.593896, 2.142420]
std: [1.154637, 1.417638, 1.565840, 1.331813, 1.056539, 1.008418, 1.417203, 1.710657]
pca: [[-0.013946, 0.371305, -0.331108, -0.268645, 0.772206, 0.157622, 0.242454, -0.014308, 0.000000, 0.000000], [0.493260, 0.331453, 0.175272, -0.003186, 0.060566, -0.325170, -0.263916, -0.661096, 0.000000, 0.000000], [0.519451, 0.421323, -0.045135, 0.098983, -0.107309, -0.201622, -0.053334, 0.697002, 0.000000, 0.000000], [-0.173708, 0.358904, -0.211107, 0.796782, -0.017568, 0.352325, -0.145624, -0.126246, 0.000000, 0.000000], [0.384674, 0.109987, 0.193862, -0.235072, -0.280670, 0.773027, 0.242952, -0.108239, 0.000000, 0.000000], [0.254595, -0.170130, -0.450466, 0.218487, -0.207635, -0.250668, 0.714752, -0.196885, 0.000000, 0.000000], [0.251746, -0.348390, 0.574899, 0.423346, 0.487711, 0.025067, 0.238520, 0.100674, 0.000000, 0.000000], [-0.424650, 0.532475, 0.491968, -0.030707, -0.168690, -0.208811, 0.469814, -0.019598, 0.000000, 0.000000]]
fourier: [[17.410898, 20.103920, 24.067247, 24.523587, 40.421312], [22.606701, 24.610818, 26.876109, 30.041345, 58.208555], [24.641909, 24.917703, 31.770018, 31.879140, 58.151191], [20.653512, 21.095326, 24.747594, 31.195462, 44.587235], [15.106619, 16.651612, 17.008711, 17.220848, 19.551034], [14.342060, 15.709012, 17.559113, 18.172444, 135.410878], [22.199305, 23.159355, 23.484559, 31.227173, 53.450627], [26.073043, 28.800462, 29.571725, 30.518821, 192.817767]]
### 2
mean: [-1.027181, 0.187997, 1.993681, -0.090513, -0.821443, -0.344737, -0.928076, -0.147223]
std: [0.806001, 1.041411, 1.209498, 0.746621, 0.756303, 0.463856, 0.426352, 1.311666]
pca: [[0.040857, -0.504904, -0.297810, -0.519480, 0.530475, -0.210325, 0.206682, 0.128429, 0.000000, 0.000000], [0.508262, 0.198625, 0.121179, 0.105289, 0.041297, 0.194077, 0.565461, 0.563320, 0.000000, 0.000000], [-0.404347, 0.592484, -0.108530, 0.043059, 0.647717, 0.224503, 0.043443, 0.002779, 0.000000, 0.000000], [0.370651, 0.044925, -0.219091, 0.461156, 0.307039, -0.436535, -0.504876, 0.245354, 0.000000, 0.000000], [0.140147, -0.444990, 0.118522, 0.542349, 0.340874, 0.365828, 0.186842, -0.434991, 0.000000, 0.000000], [0.170867, -0.060010, 0.741285, -0.310878, 0.265141, 0.203139, -0.441778, 0.119670, 0.000000, 0.000000], [-0.089864, -0.227341, -0.419269, 0.002149, -0.128780, 0.672986, -0.368728, 0.398741, 0.000000, 0.000000], [0.618231, 0.315061, -0.312261, -0.337259, 0.001271, 0.221645, -0.121287, -0.493394, 0.000000, 0.000000]]
fourier: [[11.874227, 12.283229, 13.102398, 16.256921, 92.446303], [16.677736, 16.919748, 18.281511, 19.674716, 22.541741], [22.213686, 23.163288, 23.259763, 23.714771, 179.431301], [12.430961, 12.651723, 13.828951, 14.129032, 16.240100], [13.606224, 13.861585, 15.000724, 15.079621, 73.929866], [6.830913, 7.005785, 7.616583, 10.198282, 31.026376], [6.444614, 6.569234, 6.848595, 8.689764, 83.526853], [20.381035, 21.348751, 22.267823, 25.743360, 25.803652]]
### 4
mean: [1.044208, 0.145461, 0.670588, -1.593473, 1.216685, 0.836153, 0.805751, -1.286663]
std: [0.343830, 0.355901, 0.655228, 0.723354, 0.682267, 0.358085, 0.519047, 0.613888]
pca: [[-0.137892, 0.349181, -0.135450, 0.364334, 0.561813, 0.391109, -0.481677, -0.085789, 0.000000, 0.000000], [-0.138378, -0.365277, -0.164150, 0.469666, -0.424653, -0.166818, -0.363826, -0.509278, 0.000000, 0.000000], [-0.496806, -0.015687, 0.225023, 0.200023, -0.447526, 0.535540, 0.057897, 0.414557, 0.000000, 0.000000], [0.547594, 0.049115, -0.247653, 0.352586, -0.119736, 0.471522, 0.491259, -0.184596, 0.000000, 0.000000], [-0.286786, 0.682154, -0.498883, -0.177280, -0.337242, -0.134014, 0.110550, -0.167915, 0.000000, 0.000000], [-0.075105, 0.408594, 0.689552, 0.350263, 0.025945, -0.249743, 0.270526, -0.304983, 0.000000, 0.000000], [-0.371495, -0.201905, -0.342829, 0.439080, 0.337929, -0.342687, 0.457194, 0.265041, 0.000000, 0.000000], [0.435048, 0.262561, -0.029028, 0.368029, -0.246613, -0.335118, -0.310642, 0.579557, 0.000000, 0.000000]]
fourier: [[5.861517, 5.980329, 6.413905, 7.608552, 93.978742], [5.720346, 5.754341, 5.926516, 6.853478, 13.091486], [9.151521, 11.214897, 11.243318, 12.123890, 60.352939], [10.611795, 11.862058, 12.033019, 13.340223, 143.412601], [11.595713, 11.689742, 12.103166, 15.475929, 109.501647], [6.799073, 6.838524, 7.006230, 7.439780, 75.253775], [7.482868, 7.549088, 7.940015, 8.371309, 72.517584], [8.933637, 9.454315, 9.814549, 9.943827, 115.799655]]
### 6
mean: [1.191005, 1.293259, -0.324162, 1.390821, 0.641861, 0.091550, -0.502742, 1.208621]
std: [0.577907, 0.603746, 0.516813, 0.575772, 0.351655, 0.734922, 0.196117, 0.633653]
pca: [[-0.386381, 0.291166, 0.235907, -0.030842, 0.162591, -0.131009, -0.106314, 0.808967, 0.000000, 0.000000], [-0.399275, 0.332366, -0.433407, -0.334309, 0.026977, -0.479418, -0.311594, -0.320698, 0.000000, 0.000000], [0.325554, 0.373244, -0.368041, 0.515099, 0.282790, 0.232946, -0.463742, 0.068060, 0.000000, 0.000000], [-0.404028, 0.007053, 0.601055, 0.348973, -0.095837, 0.088566, -0.437275, -0.381346, 0.000000, 0.000000], [-0.244556, -0.076099, -0.140210, 0.662204, 0.180208, -0.446854, 0.489399, -0.067551, 0.000000, 0.000000], [0.423976, 0.686605, 0.386641, -0.016287, -0.196900, -0.291831, 0.238944, -0.134280, 0.000000, 0.000000], [0.133787, -0.071750, 0.279766, -0.237588, 0.893180, -0.085713, 0.023787, -0.191189, 0.000000, 0.000000], [-0.405712, 0.427818, -0.111204, -0.070350, 0.121107, 0.631425, 0.433785, -0.183088, 0.000000, 0.000000]]
fourier: [[11.044201, 11.203519, 11.443581, 12.229511, 107.190401], [11.462319, 11.968347, 12.243602, 12.552757, 116.393282], [7.974774, 8.281396, 8.349983, 8.496253, 29.174540], [10.390773, 10.494584, 10.603840, 11.165185, 125.173919], [6.071224, 6.099149, 6.257207, 6.758897, 57.767491], [10.809600, 11.418859, 11.444790, 11.641326, 12.314328], [3.676394, 3.722656, 3.919677, 4.075884, 45.246743], [12.174222, 12.213513, 12.455741, 13.721402, 108.775872]]
### 8
mean: [-1.163220, -1.690104, 2.390239, 0.308298, 2.633608, 1.378154, -1.412222, -1.280315]
std: [0.856928, 0.929233, 1.109050, 0.148096, 1.436478, 0.820070, 0.956739, 1.076519]
pca: [[-0.309363, 0.325671, -0.195264, -0.175397, -0.083540, 0.165917, 0.676085, 0.487588, 0.000000, 0.000000], [-0.336406, -0.293738, 0.332264, -0.002206, 0.180236, 0.761358, -0.212396, 0.181332, 0.000000, 0.000000], [0.397284, 0.570655, -0.263395, 0.243763, -0.017178, 0.319766, -0.422277, 0.326891, 0.000000, 0.000000], [0.002158, 0.416611, 0.011473, -0.319210, 0.714897, 0.117051, 0.095237, -0.436526, 0.000000, 0.000000], [0.523371, -0.012081, 0.145004, -0.103719, -0.414534, 0.463527, 0.383869, -0.400128, 0.000000, 0.000000], [0.297974, 0.157311, 0.793244, 0.168269, 0.188123, -0.229275, 0.172247, 0.333599, 0.000000, 0.000000], [-0.347266, 0.232231, 0.048977, 0.806664, -0.031281, 0.064251, 0.193044, -0.360550, 0.000000, 0.000000], [-0.387283, 0.479187, 0.359588, -0.343710, -0.490872, -0.072809, -0.310029, -0.174862, 0.000000, 0.000000]]
fourier: [[14.201894, 15.547046, 15.880708, 16.601216, 104.689831], [18.004202, 18.146679, 18.282918, 18.300851, 152.109354], [21.600611, 21.702794, 21.715121, 22.738561, 215.121517], [2.248210, 2.652540, 2.843645, 3.009016, 27.746819], [26.155569, 27.142057, 27.513826, 28.355623, 237.024723], [15.712390, 15.782106, 15.936314, 15.975295, 124.033882], [16.176113, 17.566936, 18.118422, 18.863486, 127.099980], [17.953138, 19.341492, 19.752650, 20.894163, 115.228313]]
### 10
mean: [3.852925, 1.104087, -1.490007, -1.216480, 2.933144, 2.481522, 1.995877, -2.303647]
std: [2.015190, 0.538740, 0.846404, 0.686037, 1.590908, 1.367594, 0.865598, 1.280693]
pca: [[0.575574, 0.063906, -0.462208, 0.119412, -0.150418, -0.297605, -0.262616, 0.506530, 0.000000, 0.000000], [0.152605, -0.257408, 0.333448, -0.109319, 0.129585, -0.213526, 0.709841, 0.470164, 0.000000, 0.000000], [-0.236046, 0.687044, -0.019466, 0.358712, -0.338472, 0.232690, 0.312351, 0.277359, 0.000000, 0.000000], [-0.190238, -0.616476, 0.076084, 0.649401, -0.317042, 0.148549, -0.112065, 0.145309, 0.000000, 0.000000], [0.454390, -0.046843, -0.356860, 0.353356, 0.196303, 0.254508, 0.461055, -0.472488, 0.000000, 0.000000], [0.390325, 0.191154, 0.581991, 0.265374, 0.411980, 0.326447, -0.322143, 0.147980, 0.000000, 0.000000], [0.246884, -0.170503, -0.018600, -0.476863, -0.412876, 0.702236, 0.017329, 0.135388, 0.000000, 0.000000], [-0.365707, -0.098887, -0.450111, -0.026666, 0.605619, 0.353763, -0.019699, 0.401070, 0.000000, 0.000000]]
fourier: [[34.953912, 37.748106, 37.905033, 41.256672, 346.763232], [9.184716, 9.606428, 9.608147, 11.182324, 99.367856], [14.378162, 14.471031, 14.845954, 17.777541, 134.100591], [12.602407, 13.469484, 13.474155, 13.611535, 109.483175], [27.231524, 29.637562, 29.803503, 32.704973, 263.982909], [23.938776, 25.835807, 25.914672, 27.521223, 223.336935], [14.354798, 15.811846, 15.900611, 17.885329, 179.628938], [22.238645, 24.055996, 24.064449, 26.022528, 207.328260]]
### 12
mean: [-4.300024]
std: [2.140765]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.939086, 40.341340, 40.851078, 43.407726, 387.002144]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7139486074447632, "train_acc": 0.39, "val_loss": 0.6942002773284912, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6843934953212738, "train_acc": 0.61, "val_loss": 0.7194980382919312, "val_acc": 0.38}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6508164703845978, "train_acc": 0.61, "val_loss": 0.646853506565094, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5852028429508209, "train_acc": 0.705, "val_loss": 0.4944888949394226, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4063257426023483, "train_acc": 0.795, "val_loss": 0.1990853101015091, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.8855792284011841, "train_acc": 0.78, "val_loss": 0.15081609785556793, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.386592760682106, "train_acc": 0.87, "val_loss": 0.32526183128356934, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5549146831035614, "train_acc": 0.72, "val_loss": 0.3308032155036926, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.44904768466949463, "train_acc": 0.755, "val_loss": 0.4753875732421875, "val_acc": 0.82}], "summary": {"total_epochs": 9, "degraded_epochs": 3, "improved_epochs": 6, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6942002773284912, "final_val_loss": 0.646853506565094, "initial_val_acc": 0.38, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.4944888949394226, "final_val_loss": 0.4753875732421875, "initial_val_acc": 0.72, "final_val_acc": 0.82, "best_val_acc": 0.96, "best_epoch": 5}, "improvement": 0.33999999999999997, "first_improvement_epoch": 2}}
|
9,717
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.76, "improved_accuracy": 0.94, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4306, "learning_rate": 0.06556409801188773, "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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}
## Activation Signature
### 0
mean: [-1.134293, -2.130839, 1.210737, -0.347598, -0.821467, -0.062924, -0.037327, 0.082143]
std: [1.578022, 1.605087, 1.786252, 1.001998, 1.338987, 1.350154, 2.216014, 1.538638]
pca: [[0.306200, -0.099605, 0.593649, -0.437588, -0.516441, -0.193023, -0.220108, 0.001290, 0.000000, 0.000000], [0.310563, -0.320788, 0.427287, 0.464242, 0.532579, -0.213487, -0.256201, -0.087718, 0.000000, 0.000000], [-0.484250, -0.417790, -0.116834, -0.214897, 0.101852, -0.567665, -0.111113, 0.431462, 0.000000, 0.000000], [0.019441, -0.142902, 0.331061, -0.460141, 0.455133, 0.260208, 0.604113, 0.134397, 0.000000, 0.000000], [-0.241035, 0.086330, 0.395776, 0.565283, -0.360047, -0.046311, 0.456648, 0.343453, 0.000000, 0.000000], [-0.300214, -0.411132, 0.128010, 0.051929, -0.093355, 0.718938, -0.399887, 0.190427, 0.000000, 0.000000], [0.643783, -0.372685, -0.396758, 0.085140, -0.170463, 0.067497, 0.168403, 0.469053, 0.000000, 0.000000], [0.110606, 0.613863, 0.106363, -0.074806, 0.254404, 0.060340, -0.334391, 0.643311, 0.000000, 0.000000]]
fourier: [[27.813973, 28.417124, 29.056833, 32.118671, 102.086379], [26.692423, 27.535790, 28.974253, 29.259207, 191.775491], [27.111793, 27.368529, 28.362445, 31.167315, 108.966365], [16.833736, 17.596369, 18.371890, 18.566226, 31.283819], [20.999933, 23.570871, 23.844872, 27.412164, 73.931983], [19.789620, 21.218145, 23.314640, 24.386944, 25.060859], [29.263793, 29.501862, 30.947248, 35.972537, 39.447797], [20.746395, 23.157185, 23.857299, 26.368628, 31.830225]]
### 2
mean: [0.727606, 0.268949, 0.703280, 0.493257, 0.467617, 0.823511, 0.781152, 1.101070]
std: [1.303743, 1.023503, 1.236048, 1.312284, 0.816514, 1.456872, 1.482105, 0.738848]
pca: [[-0.382510, 0.438787, 0.270303, -0.158354, 0.382616, 0.110267, -0.143122, 0.619657, 0.000000, 0.000000], [-0.312467, 0.010367, 0.029427, 0.620715, 0.383603, 0.476335, -0.003582, -0.376888, 0.000000, 0.000000], [0.370706, 0.193008, -0.530661, 0.523304, -0.074725, 0.052363, 0.059519, 0.507945, 0.000000, 0.000000], [0.402246, -0.179312, 0.229212, -0.162047, -0.186823, 0.713324, -0.408858, 0.127868, 0.000000, 0.000000], [0.227615, 0.319115, 0.363410, 0.356650, -0.076622, -0.423216, -0.610559, -0.171245, 0.000000, 0.000000], [0.443800, 0.131778, 0.589779, 0.141833, 0.109824, 0.012193, 0.635751, 0.036473, 0.000000, 0.000000], [0.455004, 0.143633, -0.291494, -0.320698, 0.716457, -0.035133, -0.114857, -0.238302, 0.000000, 0.000000], [-0.032086, 0.773385, -0.164485, -0.198413, -0.367047, 0.262448, 0.136535, -0.334932, 0.000000, 0.000000]]
fourier: [[22.489806, 23.425696, 23.689459, 24.339953, 65.484505], [15.774966, 17.573284, 18.059739, 20.640126, 24.205398], [19.444081, 19.475578, 22.479951, 22.688689, 63.295237], [21.413048, 23.228800, 23.846036, 24.667955, 44.393141], [12.704276, 12.829119, 13.701866, 13.746998, 42.085526], [20.702536, 21.620495, 27.041090, 27.494729, 74.116024], [22.026584, 23.753449, 23.775426, 29.255022, 70.303729], [11.589124, 11.706465, 12.170609, 12.407922, 99.096299]]
### 4
mean: [0.040517, 0.684600, 0.380089, 0.217916, 1.491697, 0.594274, -0.851356, 0.824013]
std: [1.765031, 1.544052, 1.031582, 2.125467, 2.759284, 1.790076, 1.045935, 1.553988]
pca: [[-0.357965, -0.023828, 0.629474, -0.430546, 0.063182, 0.180513, 0.288045, -0.412479, 0.000000, 0.000000], [-0.303506, 0.360920, 0.176808, 0.309650, 0.530225, -0.233546, -0.524838, -0.198343, 0.000000, 0.000000], [-0.207697, 0.107460, 0.448578, 0.103838, -0.029520, -0.306582, 0.223027, 0.767271, 0.000000, 0.000000], [-0.431006, 0.129502, -0.322206, 0.499981, 0.126144, 0.176290, 0.618553, -0.118603, 0.000000, 0.000000], [0.546552, 0.576404, -0.002089, -0.220071, 0.444727, 0.106790, 0.327849, 0.062708, 0.000000, 0.000000], [-0.355371, 0.355139, -0.175197, -0.251525, -0.128092, 0.655851, -0.306170, 0.336660, 0.000000, 0.000000], [-0.178299, -0.520413, -0.273866, -0.342377, 0.665708, -0.001651, 0.030884, 0.247046, 0.000000, 0.000000], [-0.306664, 0.334148, -0.402196, -0.478608, -0.201815, -0.588433, 0.083944, -0.097187, 0.000000, 0.000000]]
fourier: [[26.239300, 28.132539, 29.374839, 31.623901, 35.259141], [27.356274, 27.755282, 29.609235, 29.748594, 61.614012], [18.120846, 18.495815, 19.086706, 20.418685, 34.207967], [31.193720, 33.922398, 37.834196, 37.848093, 43.752648], [39.641766, 43.117702, 46.931141, 57.951388, 134.252699], [30.214295, 31.783698, 33.839617, 34.493183, 53.484653], [14.760320, 14.927796, 20.412430, 20.958864, 76.622026], [25.806883, 27.249033, 29.286289, 29.660087, 74.161181]]
### 6
mean: [0.892549, -0.126015, -0.313250, 1.317652, 2.663932, 0.406033, -0.088141, 0.914131]
std: [3.179263, 1.266301, 0.165693, 3.333424, 4.605147, 2.271603, 3.144955, 1.649521]
pca: [[0.408031, -0.134376, 0.398663, -0.284027, 0.004174, 0.020400, 0.758562, -0.000247, 0.000000, 0.000000], [-0.154033, 0.363519, 0.118707, -0.494307, -0.567892, 0.495634, -0.110447, -0.073101, 0.000000, 0.000000], [-0.006244, -0.136207, 0.413231, 0.350249, -0.308632, 0.082597, -0.107077, 0.757914, 0.000000, 0.000000], [0.427185, 0.215974, -0.078166, 0.532153, 0.133365, 0.657701, 0.030331, -0.174052, 0.000000, 0.000000], [0.586640, 0.538783, -0.229985, -0.227701, 0.054724, -0.307900, -0.176403, 0.363194, 0.000000, 0.000000], [-0.283065, 0.494867, -0.148629, 0.425923, -0.363590, -0.309445, 0.487812, -0.074609, 0.000000, 0.000000], [-0.398227, 0.476537, 0.384850, -0.082422, 0.642165, 0.125791, 0.058641, 0.166694, 0.000000, 0.000000], [0.210714, 0.149440, 0.653463, 0.170520, -0.129895, -0.328871, -0.357047, -0.473989, 0.000000, 0.000000]]
fourier: [[54.657737, 57.508068, 57.621986, 59.747208, 80.329404], [18.661956, 19.022238, 20.893651, 22.782769, 26.573383], [2.403617, 2.636183, 2.842434, 3.109387, 28.192499], [58.927707, 59.650351, 61.921427, 62.516948, 118.588657], [78.527656, 81.542773, 86.758386, 89.447520, 239.753854], [34.332993, 36.542964, 38.249811, 41.221476, 46.321650], [47.773057, 49.331870, 55.885720, 56.962376, 62.687589], [28.137579, 29.158347, 30.245154, 31.468587, 82.271824]]
### 8
mean: [3.336601, -3.531494, -2.971118, -2.345673, -1.015968, -0.276545, -1.790730, 1.368467]
std: [6.131788, 4.487271, 5.521202, 5.529027, 0.208116, 1.387228, 3.790577, 5.123009]
pca: [[0.485025, -0.222653, -0.345841, -0.277284, 0.222281, 0.153501, 0.534947, 0.399430, 0.000000, 0.000000], [-0.350664, 0.523243, -0.308089, -0.147904, -0.431445, -0.321503, 0.266367, 0.354960, 0.000000, 0.000000], [-0.436553, 0.231087, -0.115241, -0.387239, 0.619220, 0.070535, 0.229888, -0.389268, 0.000000, 0.000000], [-0.437350, -0.201625, 0.137240, 0.636457, 0.079663, 0.223372, 0.510380, 0.165623, 0.000000, 0.000000], [-0.013826, 0.067849, -0.457008, 0.399635, 0.515603, -0.303565, -0.410724, 0.316146, 0.000000, 0.000000], [-0.106760, -0.228138, 0.594936, -0.243355, 0.234172, -0.581414, 0.064443, 0.355462, 0.000000, 0.000000], [-0.300212, 0.025097, 0.130266, -0.282492, 0.042267, 0.606190, -0.379498, 0.546991, 0.000000, 0.000000], [0.397763, 0.724782, 0.416636, 0.217886, 0.228469, 0.143325, 0.112596, 0.099987, 0.000000, 0.000000]]
fourier: [[102.092216, 108.620152, 111.105439, 119.653077, 300.294121], [71.873508, 76.786908, 81.348634, 92.655627, 317.834504], [91.609108, 97.459122, 100.854255, 108.219346, 267.400625], [98.689210, 99.636257, 100.859234, 101.266113, 211.110562], [2.766692, 3.787111, 4.071862, 4.628501, 91.437129], [21.605171, 23.474613, 24.889076, 25.713283, 27.116584], [64.968987, 67.766962, 69.018460, 72.087689, 161.165665], [83.147562, 93.199120, 93.547863, 99.539049, 123.162076]]
### 10
mean: [2.737174, -1.443719, -0.820559, -0.761706, -2.132359, 2.208862, -0.518527, 1.755154]
std: [4.270048, 2.237922, 2.464479, 0.711234, 4.671894, 3.405269, 2.550558, 3.057994]
pca: [[-0.481197, 0.046298, 0.540394, -0.090710, 0.528248, -0.014988, -0.415011, 0.120613, 0.000000, 0.000000], [0.249572, -0.539206, 0.267629, 0.036662, 0.064551, -0.064468, 0.278486, 0.698658, 0.000000, 0.000000], [0.275991, 0.459588, 0.017425, -0.507999, 0.467206, -0.102839, 0.473475, 0.034709, 0.000000, 0.000000], [0.078019, -0.271081, 0.004301, 0.287527, 0.441808, 0.678690, 0.262106, -0.336488, 0.000000, 0.000000], [0.526462, -0.079713, 0.662029, -0.022725, -0.176703, -0.158789, -0.104758, -0.458556, 0.000000, 0.000000], [-0.383374, 0.252691, 0.423149, -0.111036, -0.502966, 0.400047, 0.419962, 0.091689, 0.000000, 0.000000], [0.284650, 0.590004, 0.107905, 0.661365, 0.061565, 0.078817, -0.100027, 0.319084, 0.000000, 0.000000], [-0.344590, -0.063996, 0.083941, 0.446591, 0.123782, -0.577027, 0.509888, -0.249810, 0.000000, 0.000000]]
fourier: [[74.174075, 76.691059, 77.389381, 80.153062, 246.345675], [35.134460, 39.143679, 39.622614, 45.383831, 129.934681], [42.650529, 44.953797, 45.135585, 46.079002, 73.850344], [10.742941, 12.028399, 12.249564, 14.893370, 68.553494], [80.893257, 84.005518, 85.063500, 88.399893, 191.912308], [57.768084, 60.881660, 61.379934, 65.233670, 198.797551], [43.368292, 46.278394, 46.667418, 46.710652, 48.119953], [53.833739, 55.306339, 55.548484, 56.848594, 157.963886]]
### 12
mean: [-3.813650]
std: [5.594205]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[96.203921, 100.779098, 100.948266, 106.721200, 343.228525]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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"network.8.bias": [
-0.033332,
-0.267759,
0.204965,
-0.130763,
-0.581351,
-0.210655,
0.038201,
0.39127
],
"network.10.weight": [
[
0.322927,
0.037241,
-0.111705,
-0.039887,
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0.530611
],
[
-0.170671,
-0.038557,
-0.073166,
-0.14041,
-0.27464,
0.039406,
0.31088,
-0.327092
],
[
0.062182,
-0.013983,
0.010489,
0.477596,
0.059048,
0.138332,
-0.000914,
-0.619005
],
[
-0.042399,
0.273439,
-0.431209,
0.154762,
-0.121978,
0.00129,
0.018251,
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[
-0.343507,
-0.248102,
0.452909,
0.12882,
-0.196997,
0.011937,
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-0.589396
],
[
0.18424,
0.054355,
0.312578,
-0.231575,
-0.327554,
-0.5154,
-0.002614,
0.557056
],
[
-0.311849,
-0.209057,
0.1804,
0.550255,
0.135585,
0.066886,
0.021761,
-0.05199
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[
0.047246,
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0.010111,
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"network.10.bias": [
0.400625,
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0.253172,
0.156707,
0.203903,
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"network.12.weight": [
[
-0.622287,
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"network.12.bias": [
-0.339536
]
}
## Activation Signature
### 0
mean: [-1.134293, -2.130839, 1.210737, -0.347598, -0.821467, -0.062924, -0.037327, 0.082143]
std: [1.578022, 1.605087, 1.786252, 1.001998, 1.338987, 1.350154, 2.216014, 1.538638]
pca: [[0.306200, -0.099605, 0.593649, -0.437588, -0.516441, -0.193023, -0.220108, 0.001290, 0.000000, 0.000000], [0.310563, -0.320788, 0.427287, 0.464242, 0.532579, -0.213487, -0.256201, -0.087718, 0.000000, 0.000000], [-0.484250, -0.417790, -0.116834, -0.214897, 0.101852, -0.567665, -0.111113, 0.431462, 0.000000, 0.000000], [0.019441, -0.142902, 0.331061, -0.460141, 0.455133, 0.260208, 0.604113, 0.134397, 0.000000, 0.000000], [-0.241035, 0.086330, 0.395776, 0.565283, -0.360047, -0.046311, 0.456648, 0.343453, 0.000000, 0.000000], [-0.300214, -0.411132, 0.128010, 0.051929, -0.093355, 0.718938, -0.399887, 0.190427, 0.000000, 0.000000], [0.643783, -0.372685, -0.396758, 0.085140, -0.170463, 0.067497, 0.168403, 0.469053, 0.000000, 0.000000], [0.110606, 0.613863, 0.106363, -0.074806, 0.254404, 0.060340, -0.334391, 0.643311, 0.000000, 0.000000]]
fourier: [[27.813973, 28.417124, 29.056833, 32.118671, 102.086379], [26.692423, 27.535790, 28.974253, 29.259207, 191.775491], [27.111793, 27.368529, 28.362445, 31.167315, 108.966365], [16.833736, 17.596369, 18.371890, 18.566226, 31.283819], [20.999933, 23.570871, 23.844872, 27.412164, 73.931983], [19.789620, 21.218145, 23.314640, 24.386944, 25.060859], [29.263793, 29.501862, 30.947248, 35.972537, 39.447797], [20.746395, 23.157185, 23.857299, 26.368628, 31.830225]]
### 2
mean: [0.727606, 0.268949, 0.703280, 0.493257, 0.467617, 0.823511, 0.781152, 1.101070]
std: [1.303743, 1.023503, 1.236048, 1.312284, 0.816514, 1.456872, 1.482105, 0.738848]
pca: [[-0.382510, 0.438787, 0.270303, -0.158354, 0.382616, 0.110267, -0.143122, 0.619657, 0.000000, 0.000000], [-0.312467, 0.010367, 0.029427, 0.620715, 0.383603, 0.476335, -0.003582, -0.376888, 0.000000, 0.000000], [0.370706, 0.193008, -0.530661, 0.523304, -0.074725, 0.052363, 0.059519, 0.507945, 0.000000, 0.000000], [0.402246, -0.179312, 0.229212, -0.162047, -0.186823, 0.713324, -0.408858, 0.127868, 0.000000, 0.000000], [0.227615, 0.319115, 0.363410, 0.356650, -0.076622, -0.423216, -0.610559, -0.171245, 0.000000, 0.000000], [0.443800, 0.131778, 0.589779, 0.141833, 0.109824, 0.012193, 0.635751, 0.036473, 0.000000, 0.000000], [0.455004, 0.143633, -0.291494, -0.320698, 0.716457, -0.035133, -0.114857, -0.238302, 0.000000, 0.000000], [-0.032086, 0.773385, -0.164485, -0.198413, -0.367047, 0.262448, 0.136535, -0.334932, 0.000000, 0.000000]]
fourier: [[22.489806, 23.425696, 23.689459, 24.339953, 65.484505], [15.774966, 17.573284, 18.059739, 20.640126, 24.205398], [19.444081, 19.475578, 22.479951, 22.688689, 63.295237], [21.413048, 23.228800, 23.846036, 24.667955, 44.393141], [12.704276, 12.829119, 13.701866, 13.746998, 42.085526], [20.702536, 21.620495, 27.041090, 27.494729, 74.116024], [22.026584, 23.753449, 23.775426, 29.255022, 70.303729], [11.589124, 11.706465, 12.170609, 12.407922, 99.096299]]
### 4
mean: [0.040517, 0.684600, 0.380089, 0.217916, 1.491697, 0.594274, -0.851356, 0.824013]
std: [1.765031, 1.544052, 1.031582, 2.125467, 2.759284, 1.790076, 1.045935, 1.553988]
pca: [[-0.357965, -0.023828, 0.629474, -0.430546, 0.063182, 0.180513, 0.288045, -0.412479, 0.000000, 0.000000], [-0.303506, 0.360920, 0.176808, 0.309650, 0.530225, -0.233546, -0.524838, -0.198343, 0.000000, 0.000000], [-0.207697, 0.107460, 0.448578, 0.103838, -0.029520, -0.306582, 0.223027, 0.767271, 0.000000, 0.000000], [-0.431006, 0.129502, -0.322206, 0.499981, 0.126144, 0.176290, 0.618553, -0.118603, 0.000000, 0.000000], [0.546552, 0.576404, -0.002089, -0.220071, 0.444727, 0.106790, 0.327849, 0.062708, 0.000000, 0.000000], [-0.355371, 0.355139, -0.175197, -0.251525, -0.128092, 0.655851, -0.306170, 0.336660, 0.000000, 0.000000], [-0.178299, -0.520413, -0.273866, -0.342377, 0.665708, -0.001651, 0.030884, 0.247046, 0.000000, 0.000000], [-0.306664, 0.334148, -0.402196, -0.478608, -0.201815, -0.588433, 0.083944, -0.097187, 0.000000, 0.000000]]
fourier: [[26.239300, 28.132539, 29.374839, 31.623901, 35.259141], [27.356274, 27.755282, 29.609235, 29.748594, 61.614012], [18.120846, 18.495815, 19.086706, 20.418685, 34.207967], [31.193720, 33.922398, 37.834196, 37.848093, 43.752648], [39.641766, 43.117702, 46.931141, 57.951388, 134.252699], [30.214295, 31.783698, 33.839617, 34.493183, 53.484653], [14.760320, 14.927796, 20.412430, 20.958864, 76.622026], [25.806883, 27.249033, 29.286289, 29.660087, 74.161181]]
### 6
mean: [0.892549, -0.126015, -0.313250, 1.317652, 2.663932, 0.406033, -0.088141, 0.914131]
std: [3.179263, 1.266301, 0.165693, 3.333424, 4.605147, 2.271603, 3.144955, 1.649521]
pca: [[0.408031, -0.134376, 0.398663, -0.284027, 0.004174, 0.020400, 0.758562, -0.000247, 0.000000, 0.000000], [-0.154033, 0.363519, 0.118707, -0.494307, -0.567892, 0.495634, -0.110447, -0.073101, 0.000000, 0.000000], [-0.006244, -0.136207, 0.413231, 0.350249, -0.308632, 0.082597, -0.107077, 0.757914, 0.000000, 0.000000], [0.427185, 0.215974, -0.078166, 0.532153, 0.133365, 0.657701, 0.030331, -0.174052, 0.000000, 0.000000], [0.586640, 0.538783, -0.229985, -0.227701, 0.054724, -0.307900, -0.176403, 0.363194, 0.000000, 0.000000], [-0.283065, 0.494867, -0.148629, 0.425923, -0.363590, -0.309445, 0.487812, -0.074609, 0.000000, 0.000000], [-0.398227, 0.476537, 0.384850, -0.082422, 0.642165, 0.125791, 0.058641, 0.166694, 0.000000, 0.000000], [0.210714, 0.149440, 0.653463, 0.170520, -0.129895, -0.328871, -0.357047, -0.473989, 0.000000, 0.000000]]
fourier: [[54.657737, 57.508068, 57.621986, 59.747208, 80.329404], [18.661956, 19.022238, 20.893651, 22.782769, 26.573383], [2.403617, 2.636183, 2.842434, 3.109387, 28.192499], [58.927707, 59.650351, 61.921427, 62.516948, 118.588657], [78.527656, 81.542773, 86.758386, 89.447520, 239.753854], [34.332993, 36.542964, 38.249811, 41.221476, 46.321650], [47.773057, 49.331870, 55.885720, 56.962376, 62.687589], [28.137579, 29.158347, 30.245154, 31.468587, 82.271824]]
### 8
mean: [3.336601, -3.531494, -2.971118, -2.345673, -1.015968, -0.276545, -1.790730, 1.368467]
std: [6.131788, 4.487271, 5.521202, 5.529027, 0.208116, 1.387228, 3.790577, 5.123009]
pca: [[0.485025, -0.222653, -0.345841, -0.277284, 0.222281, 0.153501, 0.534947, 0.399430, 0.000000, 0.000000], [-0.350664, 0.523243, -0.308089, -0.147904, -0.431445, -0.321503, 0.266367, 0.354960, 0.000000, 0.000000], [-0.436553, 0.231087, -0.115241, -0.387239, 0.619220, 0.070535, 0.229888, -0.389268, 0.000000, 0.000000], [-0.437350, -0.201625, 0.137240, 0.636457, 0.079663, 0.223372, 0.510380, 0.165623, 0.000000, 0.000000], [-0.013826, 0.067849, -0.457008, 0.399635, 0.515603, -0.303565, -0.410724, 0.316146, 0.000000, 0.000000], [-0.106760, -0.228138, 0.594936, -0.243355, 0.234172, -0.581414, 0.064443, 0.355462, 0.000000, 0.000000], [-0.300212, 0.025097, 0.130266, -0.282492, 0.042267, 0.606190, -0.379498, 0.546991, 0.000000, 0.000000], [0.397763, 0.724782, 0.416636, 0.217886, 0.228469, 0.143325, 0.112596, 0.099987, 0.000000, 0.000000]]
fourier: [[102.092216, 108.620152, 111.105439, 119.653077, 300.294121], [71.873508, 76.786908, 81.348634, 92.655627, 317.834504], [91.609108, 97.459122, 100.854255, 108.219346, 267.400625], [98.689210, 99.636257, 100.859234, 101.266113, 211.110562], [2.766692, 3.787111, 4.071862, 4.628501, 91.437129], [21.605171, 23.474613, 24.889076, 25.713283, 27.116584], [64.968987, 67.766962, 69.018460, 72.087689, 161.165665], [83.147562, 93.199120, 93.547863, 99.539049, 123.162076]]
### 10
mean: [2.737174, -1.443719, -0.820559, -0.761706, -2.132359, 2.208862, -0.518527, 1.755154]
std: [4.270048, 2.237922, 2.464479, 0.711234, 4.671894, 3.405269, 2.550558, 3.057994]
pca: [[-0.481197, 0.046298, 0.540394, -0.090710, 0.528248, -0.014988, -0.415011, 0.120613, 0.000000, 0.000000], [0.249572, -0.539206, 0.267629, 0.036662, 0.064551, -0.064468, 0.278486, 0.698658, 0.000000, 0.000000], [0.275991, 0.459588, 0.017425, -0.507999, 0.467206, -0.102839, 0.473475, 0.034709, 0.000000, 0.000000], [0.078019, -0.271081, 0.004301, 0.287527, 0.441808, 0.678690, 0.262106, -0.336488, 0.000000, 0.000000], [0.526462, -0.079713, 0.662029, -0.022725, -0.176703, -0.158789, -0.104758, -0.458556, 0.000000, 0.000000], [-0.383374, 0.252691, 0.423149, -0.111036, -0.502966, 0.400047, 0.419962, 0.091689, 0.000000, 0.000000], [0.284650, 0.590004, 0.107905, 0.661365, 0.061565, 0.078817, -0.100027, 0.319084, 0.000000, 0.000000], [-0.344590, -0.063996, 0.083941, 0.446591, 0.123782, -0.577027, 0.509888, -0.249810, 0.000000, 0.000000]]
fourier: [[74.174075, 76.691059, 77.389381, 80.153062, 246.345675], [35.134460, 39.143679, 39.622614, 45.383831, 129.934681], [42.650529, 44.953797, 45.135585, 46.079002, 73.850344], [10.742941, 12.028399, 12.249564, 14.893370, 68.553494], [80.893257, 84.005518, 85.063500, 88.399893, 191.912308], [57.768084, 60.881660, 61.379934, 65.233670, 198.797551], [43.368292, 46.278394, 46.667418, 46.710652, 48.119953], [53.833739, 55.306339, 55.548484, 56.848594, 157.963886]]
### 12
mean: [-3.813650]
std: [5.594205]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[96.203921, 100.779098, 100.948266, 106.721200, 343.228525]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": -1.1342930793762207, "std": 1.578021764755249, "pca": [0.306199848651886, -0.09960503876209259, 0.5936490297317505, -0.43758776783943176, -0.516440749168396, -0.1930231750011444, -0.22010822594165802, 0.00128985196352005, 0.0, 0.0], "fourier": [27.81397266555067, 28.417124295294364, 29.056832905858073, 32.11867088190285, 102.08637857437134]}, "1": {"mean": -2.1308388710021973, "std": 1.605087399482727, "pca": [0.31056326627731323, -0.3207879066467285, 0.4272872507572174, 0.4642416536808014, 0.5325791239738464, -0.21348737180233002, -0.25620126724243164, -0.08771757036447525, 0.0, 0.0], "fourier": [26.69242304192197, 27.535790218084767, 28.974253062907263, 29.259206946886216, 191.77549059689045]}, "2": {"mean": 1.2107373476028442, "std": 1.7862519025802612, "pca": [-0.48424968123435974, -0.4177899956703186, -0.11683417856693268, -0.21489737927913666, 0.10185232758522034, -0.5676648020744324, -0.11111318320035934, 0.43146181106567383, 0.0, 0.0], "fourier": [27.111792952884333, 27.368529339959537, 28.362445463436877, 31.167315231359474, 108.96636453270912]}, "3": {"mean": -0.34759795665740967, "std": 1.001997947692871, "pca": [0.019441362470388412, -0.14290176331996918, 0.3310606777667999, -0.4601409137248993, 0.45513322949409485, 0.26020827889442444, 0.6041134595870972, 0.13439738750457764, 0.0, 0.0], "fourier": [16.833736452668518, 17.596369420815538, 18.37189022054152, 18.566226316621986, 31.2838191986084]}, "4": {"mean": -0.8214665055274963, "std": 1.3389867544174194, "pca": [-0.24103541672229767, 0.08632957935333252, 0.3957756757736206, 0.565282940864563, -0.3600470721721649, -0.04631059616804123, 0.4566483795642853, 0.3434525430202484, 0.0, 0.0], "fourier": [20.999932582697486, 23.570870711493644, 23.84487160696249, 27.412164037548575, 73.93198330700397]}, "5": {"mean": -0.06292418390512466, "std": 1.350154161453247, "pca": [-0.3002135455608368, -0.41113200783729553, 0.12801037728786469, 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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": [[-0.10186, -0.76444, 0.304283, -0.109176, -0.204775], [-0.528733, -0.240464, -0.309211, -0.116443, 0.078019], [-0.021441, 0.287091, 0.171895, 0.522596, -0.718876], [0.146855, -0.524063, 0.108474, 0.22121, -0.386671], [-0.101487, 0.51323, -0.262295, -0.456287, -0.27889], [-0.241384, 0.225063, 0.069162, 0.251918, -0.578149], [-0.695373, -0.431494, 0.165708, 0.238466, 0.785368], [0.544457, -0.140332, -0.181981, -0.417209, 0.321376]], "network.0.bias": [0.236509, -0.235292, 0.121143, 0.200541, 0.239963, -0.144297, -0.211838, 0.538771], "network.2.weight": [[-0.057304, -0.417108, -0.152606, -0.215251, -0.542011, -0.218957, 0.531311, 0.777076], [-0.281095, -0.331367, -0.2598, -0.486798, -0.433814, -0.289417, 0.145209, 0.461449], [-0.246278, 0.400306, 0.481257, 0.033065, 0.506556, 0.31289, -0.236676, -0.320948], [-0.13935, 0.071267, 0.389476, 0.438372, 0.31076, -0.006262, -0.310856, -0.80747], [-0.229897, 0.285104, 0.399173, -0.192369, 0.148572, 0.143328, 0.102525, -0.327321], [-0.234575, 0.078273, 0.416641, 0.11599, -0.035238, 0.492839, -0.147371, -0.782282], [0.265615, 0.045486, 0.680207, 0.211065, 0.259116, 0.138571, -0.24236, -0.504469], [-0.31846, 0.151934, 0.242017, 0.330613, 0.104941, 0.27823, 0.44556, 0.561882]], "network.2.bias": [0.29227, 0.484114, 0.243112, 0.531262, 0.011396, 0.589546, 0.155619, 0.034844], "network.4.weight": [[0.49912, 0.348839, -0.383928, 0.137566, -0.236741, -0.662556, 0.068968, 0.172593], [0.424933, 0.444917, -0.224291, -0.167828, 0.125171, -0.175245, -0.236749, 0.504189], [0.378975, 0.060444, -0.139995, -0.173928, -0.17164, -0.248554, 0.057512, 0.225773], [0.410175, 0.80771, -0.158053, -0.356077, 0.147194, -0.236942, -0.519516, 0.30047], [-0.52967, -0.409786, 0.231322, 0.4202, 0.477966, 0.565947, 0.46261, 0.174909], [0.598541, 0.727186, -0.02226, -0.0464, -0.088786, -0.168262, -0.337032, 0.28457], [-0.222372, 0.467582, -0.443022, 0.209766, 0.039545, -0.310439, -0.266745, -0.223293], [0.693048, 0.625233, -0.088724, -0.203922, -0.164295, 0.183815, -0.246239, 0.074651]], "network.4.bias": [0.201127, 0.272766, 0.325683, 0.260687, 0.220464, 0.078518, 0.077146, 0.262077], "network.6.weight": [[0.43275, 0.025939, 0.121448, 0.5946, -0.43636, 0.397186, 0.127179, 0.351077], [0.214339, -0.229635, 0.06338, -0.251311, 0.330942, 0.017944, -0.250318, -0.199002], [0.07861, -0.053399, -0.4969, -0.018249, -0.081411, 0.018221, 0.112508, 0.134595], [0.228914, 0.675286, -0.342318, 0.520687, -0.262095, 0.74715, 0.012554, 0.201245], [0.498951, 0.728068, 0.436864, 0.694931, -0.201709, 0.802372, 0.13404, 0.262272], [-0.504737, -0.122213, 0.200004, -0.178807, 0.541018, -0.191113, -0.157532, -0.16495], [-0.297017, -0.21743, 0.08929, 0.245295, 0.601618, -0.686018, -0.335772, -0.652296], [0.40583, 0.224836, -0.365604, 0.473122, -0.111016, 0.056312, 0.189424, 0.228284]], "network.6.bias": [0.095534, -0.322227, -0.036009, -0.116412, 0.232254, 0.222198, 0.143252, 0.149799], "network.8.weight": [[0.656707, -0.277989, -0.055476, 0.434438, 0.392627, -0.232667, -0.07947, 0.747761], [-0.166702, 0.235277, -0.329605, -0.338659, -0.68438, -0.275994, 0.030765, -0.159671], [-0.472744, 0.447729, -0.785359, -0.396542, -0.595593, -0.142462, 0.233332, -0.241913], [-0.587872, 0.194051, -0.605811, -0.304908, -0.316673, 0.240722, 0.461341, -0.683498], [0.120743, 0.177963, -0.201636, 0.382366, -0.376406, -0.375404, 0.140135, -0.057795], [-0.53534, 0.097734, 0.023164, -0.184853, 0.240179, 0.457699, -0.030774, -0.056186], [-0.19858, 0.205184, -0.303805, -0.403626, -0.240401, 0.265477, 0.038473, -0.479328], [0.311917, -0.151067, -0.206529, 0.379233, 0.317575, -0.447715, -0.81031, 0.304442]], "network.8.bias": [-0.033332, -0.267759, 0.204965, -0.130763, -0.581351, -0.210655, 0.038201, 0.39127], "network.10.weight": [[0.322927, 0.037241, -0.111705, -0.039887, -0.412258, -0.800137, -0.188575, 0.530611], [-0.170671, -0.038557, -0.073166, -0.14041, -0.27464, 0.039406, 0.31088, -0.327092], [0.062182, -0.013983, 0.010489, 0.477596, 0.059048, 0.138332, -0.000914, -0.619005], [-0.042399, 0.273439, -0.431209, 0.154762, -0.121978, 0.00129, 0.018251, -0.132852], [-0.343507, -0.248102, 0.452909, 0.12882, -0.196997, 0.011937, 0.421137, -0.589396], [0.18424, 0.054355, 0.312578, -0.231575, -0.327554, -0.5154, -0.002614, 0.557056], [-0.311849, -0.209057, 0.1804, 0.550255, 0.135585, 0.066886, 0.021761, -0.05199], [0.047246, -0.25543, -0.177458, -0.164921, -0.391266, -0.389008, 0.010111, 0.649776]], "network.10.bias": [0.400625, 0.087264, 0.162522, -0.182346, 0.253172, 0.156707, 0.203903, 0.054294], "network.12.weight": [[-0.622287, -0.019425, 0.140375, 0.065465, 0.244076, -0.477559, 0.155063, -0.425733]], "network.12.bias": [-0.339536]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6867220401763916, "train_acc": 0.57, "val_loss": 0.737644374370575, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6784656345844269, "train_acc": 0.57, "val_loss": 0.723492443561554, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6639266014099121, "train_acc": 0.57, "val_loss": 0.5751413702964783, "val_acc": 0.76}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5738484561443329, "train_acc": 0.8, "val_loss": 0.6520161628723145, "val_acc": 0.6}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5057435631752014, "train_acc": 0.69, "val_loss": 0.39529716968536377, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.38600681722164154, "train_acc": 0.845, "val_loss": 0.2805333733558655, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3900328576564789, "train_acc": 0.815, "val_loss": 0.3046751916408539, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.392864465713501, "train_acc": 0.82, "val_loss": 0.44084426760673523, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.320928618311882, "train_acc": 0.865, "val_loss": 0.8675169348716736, "val_acc": 0.92}], "summary": {"total_epochs": 9, "degraded_epochs": 3, "improved_epochs": 6, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.737644374370575, "final_val_loss": 0.5751413702964783, "initial_val_acc": 0.42, "final_val_acc": 0.76, "best_val_acc": 0.76}, "improved_stage": {"initial_val_loss": 0.6520161628723145, "final_val_loss": 0.8675169348716736, "initial_val_acc": 0.6, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 5}, "improvement": 0.17999999999999994, "first_improvement_epoch": 2}}
|
9,718
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.72, "improved_accuracy": 0.92, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6728, "learning_rate": 0.09106274071928544, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.31744
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[
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0.158021
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[
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],
[
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0.23005
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],
"network.0.bias": [
0.391534,
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"network.2.weight": [
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[
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0.230811,
0.439842
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[
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0.142571
],
[
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],
[
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],
[
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]
],
"network.2.bias": [
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[
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0.593992
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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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"network.8.weight": [
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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.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [0.227874, 0.006764, -0.701310, 0.934306, -1.053638, 0.050496]
std: [1.431264, 1.123513, 1.526612, 1.349960, 0.979395, 1.177859]
pca: [[0.571217, 0.305025, -0.339460, -0.282851, -0.438567, -0.439423, 0.000000, 0.000000, 0.000000, 0.000000], [0.448016, 0.314923, -0.152812, -0.073170, 0.163557, 0.802900, 0.000000, 0.000000, 0.000000, 0.000000], [-0.350568, 0.712245, -0.347386, 0.452680, 0.156454, -0.140482, 0.000000, 0.000000, 0.000000, 0.000000], [0.243323, 0.440164, 0.840863, 0.055630, 0.100420, -0.163770, 0.000000, 0.000000, 0.000000, 0.000000], [0.369960, -0.172704, -0.183290, 0.026418, 0.826847, -0.339609, 0.000000, 0.000000, 0.000000, 0.000000], [0.392451, -0.277344, 0.009667, 0.840196, -0.250341, 0.019201, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.398503, 21.798651, 22.392693, 24.409619, 28.174488], [16.101482, 16.771970, 17.257428, 20.646296, 20.732664], [23.429644, 24.368228, 31.110373, 31.367442, 63.117921], [20.448304, 21.327378, 24.020511, 24.480801, 84.087522], [16.998821, 18.733337, 19.929062, 20.470996, 94.827414], [20.199442, 20.701288, 21.148350, 21.631593, 22.111214]]
### 2
mean: [0.653130, 1.642721, 0.354215, -0.892565, 0.407963, -0.475641]
std: [0.981215, 1.640077, 0.723799, 1.233634, 0.451494, 1.063902]
pca: [[0.365816, -0.309197, -0.549358, 0.312817, 0.607263, -0.046457, 0.000000, 0.000000, 0.000000, 0.000000], [0.631314, -0.226165, 0.680441, -0.193046, 0.221765, 0.029070, 0.000000, 0.000000, 0.000000, 0.000000], [0.240181, 0.659200, 0.070571, 0.431927, 0.074938, 0.557326, 0.000000, 0.000000, 0.000000, 0.000000], [-0.483413, -0.110100, 0.100530, -0.373305, 0.559694, 0.539880, 0.000000, 0.000000, 0.000000, 0.000000], [0.096389, 0.636279, -0.110612, -0.465775, 0.369904, -0.468880, 0.000000, 0.000000, 0.000000, 0.000000], [-0.408601, 0.041584, 0.455943, 0.567464, 0.355457, -0.418410, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.731908, 16.163011, 16.831016, 17.125084, 58.781722], [24.889310, 26.636567, 27.185979, 31.110686, 147.844871], [11.814098, 11.877368, 11.989306, 15.681944, 31.879382], [18.943339, 19.259529, 21.309738, 25.079989, 80.330847], [6.618455, 8.276406, 8.978412, 10.356704, 36.716629], [15.543069, 15.967035, 17.902476, 21.634441, 42.807689]]
### 4
mean: [-0.672030, -0.317732, -0.200525, -0.557667, 1.102624, 2.200082]
std: [1.900080, 0.699005, 0.775352, 0.299163, 1.434209, 2.353685]
pca: [[-0.541869, 0.379613, -0.346384, 0.459093, -0.404978, -0.259839, 0.000000, 0.000000, 0.000000, 0.000000], [-0.189715, 0.184593, 0.800168, 0.355354, 0.310989, -0.258215, 0.000000, 0.000000, 0.000000, 0.000000], [-0.214608, 0.640163, 0.082313, -0.232813, 0.112824, 0.685878, 0.000000, 0.000000, 0.000000, 0.000000], [-0.077137, -0.010196, -0.468145, 0.298393, 0.828072, 0.006636, 0.000000, 0.000000, 0.000000, 0.000000], [0.409862, -0.113677, 0.045127, 0.720855, -0.201526, 0.506764, 0.000000, 0.000000, 0.000000, 0.000000], [0.671113, 0.631652, -0.108526, -0.009259, 0.015258, -0.372192, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.647469, 29.912921, 34.939937, 35.722175, 60.482733], [10.471237, 10.541188, 12.030060, 15.061922, 28.595914], [11.458167, 12.685624, 13.390313, 15.114294, 18.047232], [4.614848, 4.741609, 5.189590, 5.381064, 50.190010], [22.141159, 22.284998, 25.709629, 28.007292, 99.236152], [35.859232, 36.848339, 42.765056, 45.649629, 198.007335]]
### 6
mean: [-1.310604, 1.531146, 1.411528, -0.764424, 1.399936, -1.024207]
std: [2.500367, 1.318745, 2.065006, 1.629336, 1.523808, 2.748413]
pca: [[0.503069, -0.234157, 0.637360, -0.186506, 0.128578, 0.484301, 0.000000, 0.000000, 0.000000, 0.000000], [-0.265449, 0.006013, 0.372481, 0.008087, 0.785391, -0.416958, 0.000000, 0.000000, 0.000000, 0.000000], [-0.415328, -0.259073, -0.299600, 0.234021, 0.368988, 0.692607, 0.000000, 0.000000, 0.000000, 0.000000], [0.323428, 0.832770, -0.104551, 0.253518, 0.271870, 0.229723, 0.000000, 0.000000, 0.000000, 0.000000], [-0.306666, 0.079122, 0.529862, 0.704061, -0.350260, 0.023613, 0.000000, 0.000000, 0.000000, 0.000000], [0.552549, -0.422196, -0.271267, 0.591955, 0.184066, -0.241998, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.919651, 39.929553, 44.844937, 50.196806, 117.954365], [19.498044, 20.868021, 23.788103, 26.423123, 137.803119], [31.279451, 32.226904, 36.742768, 41.306390, 127.037530], [24.903508, 25.452448, 28.438217, 31.928992, 68.798124], [22.292316, 24.476058, 27.276707, 30.654646, 125.994264], [39.925627, 44.135178, 49.878963, 55.075311, 92.178650]]
### 8
mean: [0.117765, 1.550837, -0.263446, -0.300685, -0.100570, 0.127251]
std: [1.822074, 2.033152, 1.347149, 1.727357, 1.213573, 2.142983]
pca: [[0.427485, -0.042894, -0.272161, 0.761852, -0.073849, -0.394302, 0.000000, 0.000000, 0.000000, 0.000000], [-0.472343, 0.735646, -0.407498, 0.221858, 0.103740, 0.098383, 0.000000, 0.000000, 0.000000, 0.000000], [0.313023, 0.467748, 0.710698, 0.202671, 0.348761, 0.124206, 0.000000, 0.000000, 0.000000, 0.000000], [0.405169, 0.085880, -0.413637, -0.407972, 0.671904, -0.198674, 0.000000, 0.000000, 0.000000, 0.000000], [0.281572, 0.468921, 0.044950, -0.403394, -0.579366, -0.447681, 0.000000, 0.000000, 0.000000, 0.000000], [0.502714, 0.104567, -0.285774, -0.010832, -0.273917, 0.761269, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.666688, 25.839486, 31.599361, 33.330698, 36.690896], [28.438648, 33.725867, 37.583173, 41.090107, 139.575353], [20.415961, 23.710107, 23.730557, 24.915872, 25.871409], [24.750578, 27.061647, 30.215092, 31.496026, 34.771173], [17.523894, 18.289641, 21.679900, 21.936202, 23.525129], [28.862734, 30.751095, 37.461043, 39.189819, 42.997134]]
### 10
mean: [0.599814, -0.055237, 0.491207, -0.551729, 0.640546, -0.076616]
std: [2.747023, 1.890239, 2.869046, 1.678647, 2.673588, 3.568792]
pca: [[-0.426264, 0.120281, -0.552954, -0.115436, -0.404041, 0.567009, 0.000000, 0.000000, 0.000000, 0.000000], [-0.293068, 0.066842, 0.810845, 0.127166, -0.361484, 0.324547, 0.000000, 0.000000, 0.000000, 0.000000], [0.443221, -0.387260, 0.067182, -0.045705, 0.352706, 0.722898, 0.000000, 0.000000, 0.000000, 0.000000], [-0.247831, 0.685103, 0.058314, 0.043068, 0.651631, 0.198332, 0.000000, 0.000000, 0.000000, 0.000000], [-0.412438, -0.405866, -0.123527, 0.770640, 0.235893, -0.019442, 0.000000, 0.000000, 0.000000, 0.000000], [0.551761, 0.443848, -0.116614, 0.610470, -0.318451, 0.104285, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.421853, 48.882731, 49.664942, 53.769399, 53.983275], [27.584252, 28.860248, 32.755476, 35.226801, 35.961100], [42.283458, 44.208598, 50.801764, 52.462631, 57.404059], [23.301334, 29.165815, 30.090521, 35.419245, 49.655618], [42.162075, 46.550218, 47.597786, 47.919156, 57.649108], [54.245403, 55.984691, 62.157247, 64.290287, 64.687309]]
### 12
mean: [0.156904]
std: [3.555068]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[53.601154, 54.560932, 63.561798, 63.563375, 67.854789]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.553249,
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[
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[
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0.31744
],
[
-0.566606,
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0.158021
],
[
-0.250758,
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-0.220798
],
[
-0.375059,
0.470911,
-0.390181,
-0.061773,
0.23005
]
],
"network.0.bias": [
0.391534,
0.406394,
-0.033241,
0.260007,
-0.256382,
0.322916
],
"network.2.weight": [
[
0.398201,
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0.526202,
0.330661,
0.151118,
0.667806
],
[
0.72697,
0.828774,
0.10407,
0.768872,
0.230811,
0.439842
],
[
0.107869,
-0.0155,
0.102712,
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0.475858,
0.142571
],
[
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],
[
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0.407247,
0.078888,
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],
[
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-0.494356,
-0.669197,
-0.452552
]
],
"network.2.bias": [
-0.381368,
-0.060601,
-0.42183,
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0.02594,
0.642553
],
"network.4.weight": [
[
-0.80336,
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0.79675
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[
-0.380093,
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0.079506,
-0.058756,
0.593992
],
[
-0.532906,
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0.802383,
-0.194785,
0.366523
],
[
-0.119437,
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0.128037,
-0.298328,
0.075995,
0.28419
],
[
0.485978,
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-0.061112,
-0.469326,
0.609094,
-0.556782
],
[
0.559991,
0.847813,
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0.531766,
-0.447746
]
],
"network.4.bias": [
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0.239694,
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],
"network.6.weight": [
[
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],
[
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[
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0.488915
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[
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[
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0.107352,
0.22851,
0.396398
],
[
0.853048,
0.233485,
0.677853,
-0.456675,
-0.691513,
-0.525919
]
],
"network.6.bias": [
0.197712,
0.637038,
-0.121953,
0.75436,
0.42147,
0.493105
],
"network.8.weight": [
[
0.493116,
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0.635677,
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0.304669
],
[
-0.212884,
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0.257378,
0.352686,
0.371838,
-0.544543
],
[
0.228005,
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0.013423,
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0.620336
],
[
0.234044,
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0.586427,
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],
[
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0.535688
],
[
0.332916,
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-0.298729,
0.668775
]
],
"network.8.bias": [
0.556713,
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-0.167002,
0.129563,
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0.418434
],
"network.10.weight": [
[
0.583102,
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0.155112,
0.19244,
0.635546
],
[
-0.373578,
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0.489036,
0.253397,
0.640886,
0.361148
],
[
-0.384328,
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-0.230285,
-0.079925,
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-0.611425
],
[
0.418911,
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0.124646
],
[
0.170438,
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],
[
-0.111674,
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-0.680465,
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]
],
"network.10.bias": [
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0.683978
],
"network.12.weight": [
[
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-0.417163,
0.242354,
0.582606,
-0.429576
]
],
"network.12.bias": [
-0.139322
]
}
## Activation Signature
### 0
mean: [0.227874, 0.006764, -0.701310, 0.934306, -1.053638, 0.050496]
std: [1.431264, 1.123513, 1.526612, 1.349960, 0.979395, 1.177859]
pca: [[0.571217, 0.305025, -0.339460, -0.282851, -0.438567, -0.439423, 0.000000, 0.000000, 0.000000, 0.000000], [0.448016, 0.314923, -0.152812, -0.073170, 0.163557, 0.802900, 0.000000, 0.000000, 0.000000, 0.000000], [-0.350568, 0.712245, -0.347386, 0.452680, 0.156454, -0.140482, 0.000000, 0.000000, 0.000000, 0.000000], [0.243323, 0.440164, 0.840863, 0.055630, 0.100420, -0.163770, 0.000000, 0.000000, 0.000000, 0.000000], [0.369960, -0.172704, -0.183290, 0.026418, 0.826847, -0.339609, 0.000000, 0.000000, 0.000000, 0.000000], [0.392451, -0.277344, 0.009667, 0.840196, -0.250341, 0.019201, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.398503, 21.798651, 22.392693, 24.409619, 28.174488], [16.101482, 16.771970, 17.257428, 20.646296, 20.732664], [23.429644, 24.368228, 31.110373, 31.367442, 63.117921], [20.448304, 21.327378, 24.020511, 24.480801, 84.087522], [16.998821, 18.733337, 19.929062, 20.470996, 94.827414], [20.199442, 20.701288, 21.148350, 21.631593, 22.111214]]
### 2
mean: [0.653130, 1.642721, 0.354215, -0.892565, 0.407963, -0.475641]
std: [0.981215, 1.640077, 0.723799, 1.233634, 0.451494, 1.063902]
pca: [[0.365816, -0.309197, -0.549358, 0.312817, 0.607263, -0.046457, 0.000000, 0.000000, 0.000000, 0.000000], [0.631314, -0.226165, 0.680441, -0.193046, 0.221765, 0.029070, 0.000000, 0.000000, 0.000000, 0.000000], [0.240181, 0.659200, 0.070571, 0.431927, 0.074938, 0.557326, 0.000000, 0.000000, 0.000000, 0.000000], [-0.483413, -0.110100, 0.100530, -0.373305, 0.559694, 0.539880, 0.000000, 0.000000, 0.000000, 0.000000], [0.096389, 0.636279, -0.110612, -0.465775, 0.369904, -0.468880, 0.000000, 0.000000, 0.000000, 0.000000], [-0.408601, 0.041584, 0.455943, 0.567464, 0.355457, -0.418410, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.731908, 16.163011, 16.831016, 17.125084, 58.781722], [24.889310, 26.636567, 27.185979, 31.110686, 147.844871], [11.814098, 11.877368, 11.989306, 15.681944, 31.879382], [18.943339, 19.259529, 21.309738, 25.079989, 80.330847], [6.618455, 8.276406, 8.978412, 10.356704, 36.716629], [15.543069, 15.967035, 17.902476, 21.634441, 42.807689]]
### 4
mean: [-0.672030, -0.317732, -0.200525, -0.557667, 1.102624, 2.200082]
std: [1.900080, 0.699005, 0.775352, 0.299163, 1.434209, 2.353685]
pca: [[-0.541869, 0.379613, -0.346384, 0.459093, -0.404978, -0.259839, 0.000000, 0.000000, 0.000000, 0.000000], [-0.189715, 0.184593, 0.800168, 0.355354, 0.310989, -0.258215, 0.000000, 0.000000, 0.000000, 0.000000], [-0.214608, 0.640163, 0.082313, -0.232813, 0.112824, 0.685878, 0.000000, 0.000000, 0.000000, 0.000000], [-0.077137, -0.010196, -0.468145, 0.298393, 0.828072, 0.006636, 0.000000, 0.000000, 0.000000, 0.000000], [0.409862, -0.113677, 0.045127, 0.720855, -0.201526, 0.506764, 0.000000, 0.000000, 0.000000, 0.000000], [0.671113, 0.631652, -0.108526, -0.009259, 0.015258, -0.372192, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.647469, 29.912921, 34.939937, 35.722175, 60.482733], [10.471237, 10.541188, 12.030060, 15.061922, 28.595914], [11.458167, 12.685624, 13.390313, 15.114294, 18.047232], [4.614848, 4.741609, 5.189590, 5.381064, 50.190010], [22.141159, 22.284998, 25.709629, 28.007292, 99.236152], [35.859232, 36.848339, 42.765056, 45.649629, 198.007335]]
### 6
mean: [-1.310604, 1.531146, 1.411528, -0.764424, 1.399936, -1.024207]
std: [2.500367, 1.318745, 2.065006, 1.629336, 1.523808, 2.748413]
pca: [[0.503069, -0.234157, 0.637360, -0.186506, 0.128578, 0.484301, 0.000000, 0.000000, 0.000000, 0.000000], [-0.265449, 0.006013, 0.372481, 0.008087, 0.785391, -0.416958, 0.000000, 0.000000, 0.000000, 0.000000], [-0.415328, -0.259073, -0.299600, 0.234021, 0.368988, 0.692607, 0.000000, 0.000000, 0.000000, 0.000000], [0.323428, 0.832770, -0.104551, 0.253518, 0.271870, 0.229723, 0.000000, 0.000000, 0.000000, 0.000000], [-0.306666, 0.079122, 0.529862, 0.704061, -0.350260, 0.023613, 0.000000, 0.000000, 0.000000, 0.000000], [0.552549, -0.422196, -0.271267, 0.591955, 0.184066, -0.241998, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.919651, 39.929553, 44.844937, 50.196806, 117.954365], [19.498044, 20.868021, 23.788103, 26.423123, 137.803119], [31.279451, 32.226904, 36.742768, 41.306390, 127.037530], [24.903508, 25.452448, 28.438217, 31.928992, 68.798124], [22.292316, 24.476058, 27.276707, 30.654646, 125.994264], [39.925627, 44.135178, 49.878963, 55.075311, 92.178650]]
### 8
mean: [0.117765, 1.550837, -0.263446, -0.300685, -0.100570, 0.127251]
std: [1.822074, 2.033152, 1.347149, 1.727357, 1.213573, 2.142983]
pca: [[0.427485, -0.042894, -0.272161, 0.761852, -0.073849, -0.394302, 0.000000, 0.000000, 0.000000, 0.000000], [-0.472343, 0.735646, -0.407498, 0.221858, 0.103740, 0.098383, 0.000000, 0.000000, 0.000000, 0.000000], [0.313023, 0.467748, 0.710698, 0.202671, 0.348761, 0.124206, 0.000000, 0.000000, 0.000000, 0.000000], [0.405169, 0.085880, -0.413637, -0.407972, 0.671904, -0.198674, 0.000000, 0.000000, 0.000000, 0.000000], [0.281572, 0.468921, 0.044950, -0.403394, -0.579366, -0.447681, 0.000000, 0.000000, 0.000000, 0.000000], [0.502714, 0.104567, -0.285774, -0.010832, -0.273917, 0.761269, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.666688, 25.839486, 31.599361, 33.330698, 36.690896], [28.438648, 33.725867, 37.583173, 41.090107, 139.575353], [20.415961, 23.710107, 23.730557, 24.915872, 25.871409], [24.750578, 27.061647, 30.215092, 31.496026, 34.771173], [17.523894, 18.289641, 21.679900, 21.936202, 23.525129], [28.862734, 30.751095, 37.461043, 39.189819, 42.997134]]
### 10
mean: [0.599814, -0.055237, 0.491207, -0.551729, 0.640546, -0.076616]
std: [2.747023, 1.890239, 2.869046, 1.678647, 2.673588, 3.568792]
pca: [[-0.426264, 0.120281, -0.552954, -0.115436, -0.404041, 0.567009, 0.000000, 0.000000, 0.000000, 0.000000], [-0.293068, 0.066842, 0.810845, 0.127166, -0.361484, 0.324547, 0.000000, 0.000000, 0.000000, 0.000000], [0.443221, -0.387260, 0.067182, -0.045705, 0.352706, 0.722898, 0.000000, 0.000000, 0.000000, 0.000000], [-0.247831, 0.685103, 0.058314, 0.043068, 0.651631, 0.198332, 0.000000, 0.000000, 0.000000, 0.000000], [-0.412438, -0.405866, -0.123527, 0.770640, 0.235893, -0.019442, 0.000000, 0.000000, 0.000000, 0.000000], [0.551761, 0.443848, -0.116614, 0.610470, -0.318451, 0.104285, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.421853, 48.882731, 49.664942, 53.769399, 53.983275], [27.584252, 28.860248, 32.755476, 35.226801, 35.961100], [42.283458, 44.208598, 50.801764, 52.462631, 57.404059], [23.301334, 29.165815, 30.090521, 35.419245, 49.655618], [42.162075, 46.550218, 47.597786, 47.919156, 57.649108], [54.245403, 55.984691, 62.157247, 64.290287, 64.687309]]
### 12
mean: [0.156904]
std: [3.555068]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[53.601154, 54.560932, 63.561798, 63.563375, 67.854789]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 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": [[-0.181833, -0.290238, -0.274713, 0.553249, -0.017083], [-0.272126, -0.262735, -0.138461, 0.341464, -0.02047], [0.228947, -0.731169, 0.108944, -0.111782, 0.31744], [-0.566606, -0.090364, 0.467449, 0.173812, 0.158021], [-0.250758, 0.127041, -0.264438, 0.050362, -0.220798], [-0.375059, 0.470911, -0.390181, -0.061773, 0.23005]], "network.0.bias": [0.391534, 0.406394, -0.033241, 0.260007, -0.256382, 0.322916], "network.2.weight": [[0.398201, 0.371015, 0.526202, 0.330661, 0.151118, 0.667806], [0.72697, 0.828774, 0.10407, 0.768872, 0.230811, 0.439842], [0.107869, -0.0155, 0.102712, 0.653026, 0.475858, 0.142571], [-0.54873, -0.256697, -0.358003, -0.713716, -0.84119, -0.499868], [-0.093857, 0.017814, 0.23446, 0.407247, 0.078888, -0.056937], [-0.264485, -0.654566, -0.629869, -0.494356, -0.669197, -0.452552]], "network.2.bias": [-0.381368, -0.060601, -0.42183, 0.455546, 0.02594, 0.642553], "network.4.weight": [[-0.80336, -0.474485, -0.505137, 0.844803, 0.102426, 0.79675], [-0.380093, 0.074515, -0.680877, 0.079506, -0.058756, 0.593992], [-0.532906, -0.044459, -0.05281, 0.802383, -0.194785, 0.366523], [-0.119437, -0.145378, 0.128037, -0.298328, 0.075995, 0.28419], [0.485978, 0.478012, -0.061112, -0.469326, 0.609094, -0.556782], [0.559991, 0.847813, 0.613486, -0.379009, 0.531766, -0.447746]], "network.4.bias": [0.667286, 0.027397, 0.239694, -0.334466, -0.090714, 0.122458], "network.6.weight": [[0.615808, 0.573603, 0.543375, -0.086268, -0.778572, -0.410717], [-0.284508, -0.228709, -0.267123, -0.099806, 0.21215, 0.346519], [-0.335792, -0.559013, -0.210567, -0.248781, 0.488634, 0.488915], [0.143455, 0.38772, -0.298628, 0.267503, -0.201794, -0.572318], [-0.330426, -0.681, -0.150806, 0.107352, 0.22851, 0.396398], [0.853048, 0.233485, 0.677853, -0.456675, -0.691513, -0.525919]], "network.6.bias": [0.197712, 0.637038, -0.121953, 0.75436, 0.42147, 0.493105], "network.8.weight": [[0.493116, -0.139235, -0.362645, 0.635677, -0.142404, 0.304669], [-0.212884, 0.434953, 0.257378, 0.352686, 0.371838, -0.544543], [0.228005, -0.178372, -0.046879, 0.013423, -0.188343, 0.620336], [0.234044, -0.310899, -0.175773, 0.586427, -0.159515, 0.477494], [0.218704, 0.456809, -0.18422, 0.401923, -0.481883, 0.535688], [0.332916, 0.078547, -0.442304, 0.653735, -0.298729, 0.668775]], "network.8.bias": [0.556713, 0.324217, -0.167002, 0.129563, -0.334889, 0.418434], "network.10.weight": [[0.583102, -0.520342, 0.097731, 0.155112, 0.19244, 0.635546], [-0.373578, -0.471419, 0.489036, 0.253397, 0.640886, 0.361148], [-0.384328, 0.729739, -0.230285, -0.079925, -0.262651, -0.611425], [0.418911, -0.660149, -0.243128, -0.063547, 0.290582, 0.124646], [0.170438, -0.27082, 0.628084, 0.198488, 0.455595, 0.694062], [-0.111674, 0.450717, -0.618507, -0.819501, -0.680465, -0.64868]], "network.10.bias": [0.33809, 0.20229, 0.242541, 0.21862, -0.115588, 0.683978], "network.12.weight": [[0.390626, 0.254078, -0.417163, 0.242354, 0.582606, -0.429576]], "network.12.bias": [-0.139322]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6920619606971741, "train_acc": 0.565, "val_loss": 0.6835773587226868, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6745650768280029, "train_acc": 0.565, "val_loss": 0.599804699420929, "val_acc": 0.72}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.4744378626346588, "train_acc": 0.835, "val_loss": 0.4797535836696625, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.32687118649482727, "train_acc": 0.92, "val_loss": 0.21138790249824524, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.24581630527973175, "train_acc": 0.915, "val_loss": 0.22172901034355164, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.17260431498289108, "train_acc": 0.95, "val_loss": 0.4847068786621094, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2652139365673065, "train_acc": 0.905, "val_loss": 0.3623823821544647, "val_acc": 0.9}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6835773587226868, "final_val_loss": 0.599804699420929, "initial_val_acc": 0.56, "final_val_acc": 0.72, "best_val_acc": 0.72}, "improved_stage": {"initial_val_loss": 0.4797535836696625, "final_val_loss": 0.3623823821544647, "initial_val_acc": 0.92, "final_val_acc": 0.9, "best_val_acc": 0.92, "best_epoch": 2}, "improvement": 0.20000000000000007, "first_improvement_epoch": 1}}
|
9,719
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.44, "improved_accuracy": 0.88, "improvement": 0.44, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9855, "learning_rate": 0.04229319031045788, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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],
"network.0.bias": [
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"network.2.weight": [
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[
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],
[
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[
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[
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[
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],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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"network.8.weight": [
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[
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"network.8.bias": [
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"network.10.weight": [
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[
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[
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[
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],
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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [1.639374, -1.406645, 1.098662, 0.794889, -0.909338, 3.261180]
std: [1.985128, 1.675220, 2.237524, 1.923738, 1.884366, 2.193262]
pca: [[-0.431345, 0.315704, -0.144754, 0.790010, -0.263035, 0.004046, 0.000000, 0.000000, 0.000000, 0.000000], [-0.224800, -0.465737, 0.775654, 0.224485, 0.061281, 0.277067, 0.000000, 0.000000, 0.000000, 0.000000], [0.501768, 0.363926, 0.203735, 0.383505, 0.653572, -0.006783, 0.000000, 0.000000, 0.000000, 0.000000], [0.439076, 0.248391, 0.455396, 0.015884, -0.630569, -0.374512, 0.000000, 0.000000, 0.000000, 0.000000], [0.469818, -0.091445, -0.212411, 0.143684, -0.319814, 0.776444, 0.000000, 0.000000, 0.000000, 0.000000], [-0.313241, 0.693482, 0.288782, -0.396884, 0.001604, 0.424320, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.834910, 31.313503, 38.441532, 42.694142, 147.543692], [28.684127, 29.386760, 29.735806, 31.807796, 126.598030], [34.685844, 34.898246, 37.317965, 39.542255, 98.879578], [29.925979, 30.823095, 31.025248, 33.953123, 71.539995], [27.990989, 28.935858, 30.147645, 32.767254, 81.840422], [35.141321, 38.249294, 38.700998, 41.525970, 293.506151]]
### 2
mean: [0.723526, 2.240028, 0.375022, -1.473189, 1.188197, -0.890468]
std: [1.043794, 1.538318, 1.757082, 0.975566, 2.706927, 1.053320]
pca: [[0.257357, 0.024050, 0.828502, -0.311427, -0.381361, -0.065960, 0.000000, 0.000000, 0.000000, 0.000000], [-0.140403, 0.783075, 0.296834, 0.185467, 0.397051, 0.294827, 0.000000, 0.000000, 0.000000, 0.000000], [0.502881, 0.054797, -0.237916, 0.031372, -0.331042, 0.759560, 0.000000, 0.000000, 0.000000, 0.000000], [-0.058659, -0.508851, 0.238595, -0.312698, 0.626567, 0.436276, 0.000000, 0.000000, 0.000000, 0.000000], [0.773933, 0.158512, -0.143619, -0.176086, 0.428855, -0.374635, 0.000000, 0.000000, 0.000000, 0.000000], [0.242389, -0.314893, 0.302187, 0.859560, 0.104031, -0.033269, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.134327, 17.011816, 20.290921, 21.462945, 65.117334], [24.129468, 26.413024, 26.668941, 31.315490, 201.602514], [25.066332, 25.183484, 33.752007, 33.828594, 35.207228], [13.611671, 14.553801, 17.118590, 18.606070, 132.587042], [38.273516, 40.506335, 52.502174, 55.409288, 106.937707], [16.084770, 16.908157, 17.834316, 17.969539, 80.142104]]
### 4
mean: [1.636885, 1.286811, -1.183725, 2.022578, 0.441941, 0.984915]
std: [2.244218, 1.740746, 1.380219, 2.461875, 1.684867, 0.584680]
pca: [[0.528446, -0.227210, -0.196792, -0.395440, -0.206096, 0.656921, 0.000000, 0.000000, 0.000000, 0.000000], [0.402743, -0.300809, 0.842039, 0.142962, 0.123475, -0.050978, 0.000000, 0.000000, 0.000000, 0.000000], [0.277982, 0.613143, -0.009729, 0.621444, 0.094580, 0.389293, 0.000000, 0.000000, 0.000000, 0.000000], [0.582087, -0.159926, -0.372374, 0.290138, -0.315745, -0.559518, 0.000000, 0.000000, 0.000000, 0.000000], [-0.373659, -0.502702, -0.005944, 0.543280, -0.468467, 0.304992, 0.000000, 0.000000, 0.000000, 0.000000], [0.053125, -0.451286, -0.336826, 0.240133, 0.783695, 0.090695, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.834466, 33.783243, 44.704128, 51.063793, 147.319626], [24.884785, 24.913100, 34.955695, 40.021234, 115.813008], [21.691549, 23.057202, 23.373213, 23.686059, 106.535262], [37.254899, 37.264933, 47.896388, 55.479360, 182.032032], [25.662484, 26.756556, 27.192985, 32.034913, 39.774714], [9.014076, 9.271819, 10.046262, 11.710467, 88.642398]]
### 6
mean: [-2.244852, -1.294192, 3.378213, -0.943494, 2.522625, 1.257276]
std: [0.805651, 1.728874, 4.481998, 2.006071, 4.065361, 1.988691]
pca: [[-0.026778, 0.815407, 0.461732, 0.038520, -0.344393, -0.033287, 0.000000, 0.000000, 0.000000, 0.000000], [-0.248978, 0.250667, 0.180315, 0.246824, 0.864120, 0.187181, 0.000000, 0.000000, 0.000000, 0.000000], [0.650695, -0.246521, 0.590341, 0.053109, 0.197390, -0.354313, 0.000000, 0.000000, 0.000000, 0.000000], [-0.289432, -0.262371, 0.168110, 0.859654, -0.268499, -0.089621, 0.000000, 0.000000, 0.000000, 0.000000], [0.588940, 0.352701, -0.576517, 0.437484, 0.067331, -0.021296, 0.000000, 0.000000, 0.000000, 0.000000], [0.288561, -0.135163, 0.212495, 0.066149, -0.138210, 0.910951, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.245765, 11.427720, 12.483754, 17.093196, 202.036679], [25.105214, 26.805156, 35.329949, 39.740654, 116.477295], [63.873561, 68.474839, 88.446745, 102.442853, 304.039156], [30.733324, 32.437084, 36.909106, 43.610549, 84.914439], [62.994512, 64.132707, 76.384269, 89.772274, 227.036218], [28.254247, 30.474243, 39.555015, 45.646063, 113.154885]]
### 8
mean: [3.712705, -1.513923, 3.711666, 3.871491, -1.109607, -1.914532]
std: [5.283372, 2.880797, 5.048969, 5.345251, 2.417305, 2.980128]
pca: [[0.515573, 0.744797, -0.039442, 0.081939, -0.373840, -0.177303, 0.000000, 0.000000, 0.000000, 0.000000], [-0.281043, 0.577014, 0.208477, -0.354355, 0.646470, 0.033417, 0.000000, 0.000000, 0.000000, 0.000000], [0.492770, -0.042536, -0.577976, 0.084271, 0.461588, 0.448494, 0.000000, 0.000000, 0.000000, 0.000000], [0.521654, -0.190521, 0.768005, -0.047419, 0.107847, 0.296423, 0.000000, 0.000000, 0.000000, 0.000000], [-0.235931, 0.148836, -0.051503, -0.373092, -0.462222, 0.752785, 0.000000, 0.000000, 0.000000, 0.000000], [-0.290845, 0.228196, 0.168643, 0.848039, 0.063058, 0.334287, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[73.054137, 83.969322, 103.450980, 121.368138, 334.143476], [41.936544, 45.110540, 56.047581, 65.287803, 136.253114], [71.320972, 79.269093, 98.682188, 115.287560, 334.049888], [75.465973, 85.297965, 103.548073, 122.204143, 348.434210], [34.404373, 38.306200, 47.053594, 55.276168, 99.864650], [42.417939, 46.520859, 57.854724, 67.744553, 172.307897]]
### 10
mean: [5.259017, 5.076064, 6.744979, -1.146836, -1.362916, -2.933785]
std: [7.245956, 7.259279, 9.574293, 2.324970, 1.683742, 3.638647]
pca: [[0.490465, -0.089854, -0.010799, -0.260114, 0.785245, 0.258815, 0.000000, 0.000000, 0.000000, 0.000000], [0.491333, 0.294343, -0.363198, -0.404028, -0.519705, 0.326665, 0.000000, 0.000000, 0.000000, 0.000000], [0.648057, -0.177354, 0.481510, 0.508245, -0.239533, -0.032039, 0.000000, 0.000000, 0.000000, 0.000000], [-0.157184, 0.339330, 0.792486, -0.447741, -0.056053, 0.168821, 0.000000, 0.000000, 0.000000, 0.000000], [-0.113227, 0.653411, -0.074954, 0.555335, 0.175429, 0.464158, 0.000000, 0.000000, 0.000000, 0.000000], [-0.246031, -0.575971, 0.049666, 0.043821, -0.148339, 0.762453, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[101.552629, 114.940687, 140.875234, 165.148296, 473.311475], [100.495512, 115.424343, 142.334744, 166.328725, 456.845794], [134.659285, 151.228159, 186.210313, 217.786163, 607.048127], [33.170641, 36.759364, 44.601951, 52.074614, 103.215223], [25.602556, 26.292511, 30.875578, 36.905974, 122.662392], [51.291058, 57.976622, 72.317395, 84.172737, 264.040658]]
### 12
mean: [-6.629398]
std: [9.956775]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[137.258487, 158.234497, 194.214261, 227.276152, 596.645825]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.317828,
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[
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0.333292,
0.037108,
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],
[
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],
[
-0.212277,
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0.779424
]
],
"network.0.bias": [
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0.182174,
-0.148155,
-0.140475,
-0.302499,
0.278551
],
"network.2.weight": [
[
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],
[
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0.45424,
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],
[
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0.099178,
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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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0.16883,
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0.317203,
-0.096651
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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": [
-0.204446,
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],
"network.10.weight": [
[
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],
[
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0.095295,
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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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0.348341,
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],
"network.12.bias": [
0.429348
]
}
## Activation Signature
### 0
mean: [1.639374, -1.406645, 1.098662, 0.794889, -0.909338, 3.261180]
std: [1.985128, 1.675220, 2.237524, 1.923738, 1.884366, 2.193262]
pca: [[-0.431345, 0.315704, -0.144754, 0.790010, -0.263035, 0.004046, 0.000000, 0.000000, 0.000000, 0.000000], [-0.224800, -0.465737, 0.775654, 0.224485, 0.061281, 0.277067, 0.000000, 0.000000, 0.000000, 0.000000], [0.501768, 0.363926, 0.203735, 0.383505, 0.653572, -0.006783, 0.000000, 0.000000, 0.000000, 0.000000], [0.439076, 0.248391, 0.455396, 0.015884, -0.630569, -0.374512, 0.000000, 0.000000, 0.000000, 0.000000], [0.469818, -0.091445, -0.212411, 0.143684, -0.319814, 0.776444, 0.000000, 0.000000, 0.000000, 0.000000], [-0.313241, 0.693482, 0.288782, -0.396884, 0.001604, 0.424320, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.834910, 31.313503, 38.441532, 42.694142, 147.543692], [28.684127, 29.386760, 29.735806, 31.807796, 126.598030], [34.685844, 34.898246, 37.317965, 39.542255, 98.879578], [29.925979, 30.823095, 31.025248, 33.953123, 71.539995], [27.990989, 28.935858, 30.147645, 32.767254, 81.840422], [35.141321, 38.249294, 38.700998, 41.525970, 293.506151]]
### 2
mean: [0.723526, 2.240028, 0.375022, -1.473189, 1.188197, -0.890468]
std: [1.043794, 1.538318, 1.757082, 0.975566, 2.706927, 1.053320]
pca: [[0.257357, 0.024050, 0.828502, -0.311427, -0.381361, -0.065960, 0.000000, 0.000000, 0.000000, 0.000000], [-0.140403, 0.783075, 0.296834, 0.185467, 0.397051, 0.294827, 0.000000, 0.000000, 0.000000, 0.000000], [0.502881, 0.054797, -0.237916, 0.031372, -0.331042, 0.759560, 0.000000, 0.000000, 0.000000, 0.000000], [-0.058659, -0.508851, 0.238595, -0.312698, 0.626567, 0.436276, 0.000000, 0.000000, 0.000000, 0.000000], [0.773933, 0.158512, -0.143619, -0.176086, 0.428855, -0.374635, 0.000000, 0.000000, 0.000000, 0.000000], [0.242389, -0.314893, 0.302187, 0.859560, 0.104031, -0.033269, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.134327, 17.011816, 20.290921, 21.462945, 65.117334], [24.129468, 26.413024, 26.668941, 31.315490, 201.602514], [25.066332, 25.183484, 33.752007, 33.828594, 35.207228], [13.611671, 14.553801, 17.118590, 18.606070, 132.587042], [38.273516, 40.506335, 52.502174, 55.409288, 106.937707], [16.084770, 16.908157, 17.834316, 17.969539, 80.142104]]
### 4
mean: [1.636885, 1.286811, -1.183725, 2.022578, 0.441941, 0.984915]
std: [2.244218, 1.740746, 1.380219, 2.461875, 1.684867, 0.584680]
pca: [[0.528446, -0.227210, -0.196792, -0.395440, -0.206096, 0.656921, 0.000000, 0.000000, 0.000000, 0.000000], [0.402743, -0.300809, 0.842039, 0.142962, 0.123475, -0.050978, 0.000000, 0.000000, 0.000000, 0.000000], [0.277982, 0.613143, -0.009729, 0.621444, 0.094580, 0.389293, 0.000000, 0.000000, 0.000000, 0.000000], [0.582087, -0.159926, -0.372374, 0.290138, -0.315745, -0.559518, 0.000000, 0.000000, 0.000000, 0.000000], [-0.373659, -0.502702, -0.005944, 0.543280, -0.468467, 0.304992, 0.000000, 0.000000, 0.000000, 0.000000], [0.053125, -0.451286, -0.336826, 0.240133, 0.783695, 0.090695, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.834466, 33.783243, 44.704128, 51.063793, 147.319626], [24.884785, 24.913100, 34.955695, 40.021234, 115.813008], [21.691549, 23.057202, 23.373213, 23.686059, 106.535262], [37.254899, 37.264933, 47.896388, 55.479360, 182.032032], [25.662484, 26.756556, 27.192985, 32.034913, 39.774714], [9.014076, 9.271819, 10.046262, 11.710467, 88.642398]]
### 6
mean: [-2.244852, -1.294192, 3.378213, -0.943494, 2.522625, 1.257276]
std: [0.805651, 1.728874, 4.481998, 2.006071, 4.065361, 1.988691]
pca: [[-0.026778, 0.815407, 0.461732, 0.038520, -0.344393, -0.033287, 0.000000, 0.000000, 0.000000, 0.000000], [-0.248978, 0.250667, 0.180315, 0.246824, 0.864120, 0.187181, 0.000000, 0.000000, 0.000000, 0.000000], [0.650695, -0.246521, 0.590341, 0.053109, 0.197390, -0.354313, 0.000000, 0.000000, 0.000000, 0.000000], [-0.289432, -0.262371, 0.168110, 0.859654, -0.268499, -0.089621, 0.000000, 0.000000, 0.000000, 0.000000], [0.588940, 0.352701, -0.576517, 0.437484, 0.067331, -0.021296, 0.000000, 0.000000, 0.000000, 0.000000], [0.288561, -0.135163, 0.212495, 0.066149, -0.138210, 0.910951, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.245765, 11.427720, 12.483754, 17.093196, 202.036679], [25.105214, 26.805156, 35.329949, 39.740654, 116.477295], [63.873561, 68.474839, 88.446745, 102.442853, 304.039156], [30.733324, 32.437084, 36.909106, 43.610549, 84.914439], [62.994512, 64.132707, 76.384269, 89.772274, 227.036218], [28.254247, 30.474243, 39.555015, 45.646063, 113.154885]]
### 8
mean: [3.712705, -1.513923, 3.711666, 3.871491, -1.109607, -1.914532]
std: [5.283372, 2.880797, 5.048969, 5.345251, 2.417305, 2.980128]
pca: [[0.515573, 0.744797, -0.039442, 0.081939, -0.373840, -0.177303, 0.000000, 0.000000, 0.000000, 0.000000], [-0.281043, 0.577014, 0.208477, -0.354355, 0.646470, 0.033417, 0.000000, 0.000000, 0.000000, 0.000000], [0.492770, -0.042536, -0.577976, 0.084271, 0.461588, 0.448494, 0.000000, 0.000000, 0.000000, 0.000000], [0.521654, -0.190521, 0.768005, -0.047419, 0.107847, 0.296423, 0.000000, 0.000000, 0.000000, 0.000000], [-0.235931, 0.148836, -0.051503, -0.373092, -0.462222, 0.752785, 0.000000, 0.000000, 0.000000, 0.000000], [-0.290845, 0.228196, 0.168643, 0.848039, 0.063058, 0.334287, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[73.054137, 83.969322, 103.450980, 121.368138, 334.143476], [41.936544, 45.110540, 56.047581, 65.287803, 136.253114], [71.320972, 79.269093, 98.682188, 115.287560, 334.049888], [75.465973, 85.297965, 103.548073, 122.204143, 348.434210], [34.404373, 38.306200, 47.053594, 55.276168, 99.864650], [42.417939, 46.520859, 57.854724, 67.744553, 172.307897]]
### 10
mean: [5.259017, 5.076064, 6.744979, -1.146836, -1.362916, -2.933785]
std: [7.245956, 7.259279, 9.574293, 2.324970, 1.683742, 3.638647]
pca: [[0.490465, -0.089854, -0.010799, -0.260114, 0.785245, 0.258815, 0.000000, 0.000000, 0.000000, 0.000000], [0.491333, 0.294343, -0.363198, -0.404028, -0.519705, 0.326665, 0.000000, 0.000000, 0.000000, 0.000000], [0.648057, -0.177354, 0.481510, 0.508245, -0.239533, -0.032039, 0.000000, 0.000000, 0.000000, 0.000000], [-0.157184, 0.339330, 0.792486, -0.447741, -0.056053, 0.168821, 0.000000, 0.000000, 0.000000, 0.000000], [-0.113227, 0.653411, -0.074954, 0.555335, 0.175429, 0.464158, 0.000000, 0.000000, 0.000000, 0.000000], [-0.246031, -0.575971, 0.049666, 0.043821, -0.148339, 0.762453, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[101.552629, 114.940687, 140.875234, 165.148296, 473.311475], [100.495512, 115.424343, 142.334744, 166.328725, 456.845794], [134.659285, 151.228159, 186.210313, 217.786163, 607.048127], [33.170641, 36.759364, 44.601951, 52.074614, 103.215223], [25.602556, 26.292511, 30.875578, 36.905974, 122.662392], [51.291058, 57.976622, 72.317395, 84.172737, 264.040658]]
### 12
mean: [-6.629398]
std: [9.956775]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[137.258487, 158.234497, 194.214261, 227.276152, 596.645825]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.3367, -0.178748, 0.436936, -0.076835, 0.910831], [-0.729771, -0.126191, -0.136746, -0.144942, 0.118181], [0.62952, -0.01334, 0.490101, 0.317828, -0.987251], [0.298253, 0.43041, 0.333292, 0.037108, -0.807475], [0.527534, 0.129417, -0.056922, -0.142717, -0.870971], [-0.212277, 0.226963, 0.491288, 0.39436, 0.779424]], "network.0.bias": [0.512795, 0.182174, -0.148155, -0.140475, -0.302499, 0.278551], "network.2.weight": [[0.505412, -0.526092, -0.188214, -0.178826, 0.734758, -0.025103], [-0.020415, 0.245406, 0.464298, 0.45424, -0.167735, 0.368963], [0.177291, -0.606168, -0.44508, -0.411551, 0.099178, 0.413756], [0.151861, -0.246225, -0.141461, -0.121758, 0.288238, -0.470277], [0.405629, -0.900382, -0.600032, -0.589758, 0.201586, 0.596598], [0.255412, 0.202478, -0.576178, -0.076205, 0.519638, -0.092317]], "network.2.bias": [0.252241, -0.060822, -0.194282, 0.061429, 0.037578, -0.189524], "network.4.weight": [[0.436193, -0.064729, 0.571719, -0.947771, 0.540944, -0.775786], [0.640995, 0.056849, 0.012015, 0.105856, 0.497539, 0.089286], [0.205358, -0.575909, -0.247913, -0.356274, 0.497572, 0.070454], [0.435811, -0.141311, 0.251357, -0.529256, 0.832211, -1.017084], [-0.403989, 0.541283, -0.524481, 0.492937, -0.179841, 0.297627], [-0.177212, 0.298199, 0.042451, 0.378023, 0.214788, -0.227052]], "network.4.bias": [0.102236, -0.084659, -0.686711, 0.471146, 0.265504, 0.109372], "network.6.weight": [[-0.263149, 0.025168, 0.941545, -0.021099, -0.564995, -0.685704], [-0.086438, -0.330985, 0.315927, -0.365315, 0.023004, -0.326975], [0.66407, 0.743709, 0.086679, 0.686023, -0.024182, -0.143301], [-0.060527, -0.490867, 0.565033, -0.412279, 0.262617, 0.286704], [0.626241, 0.307984, -0.464326, 0.692625, -0.682074, 0.058711], [0.566692, 0.337236, 0.010404, 0.033022, -0.058909, 0.008513]], "network.6.bias": [-0.775172, 0.226635, 0.16883, 0.077933, 0.317203, -0.096651], "network.8.weight": [[0.019004, 0.351826, 0.598669, 0.075171, 0.723662, -0.08067], [-0.480807, -0.398986, -0.328751, 0.420761, -0.266052, -0.149403], [-0.070106, 0.58227, 0.758094, -0.237657, 0.423805, -0.016011], [-0.136218, 0.214681, 0.284731, -0.309761, 0.946999, 0.204319], [0.024066, -0.112971, -0.132289, 0.201358, -0.319784, -0.288506], [0.12851, 0.023724, -0.472795, 0.179375, -0.29516, 0.15366]], "network.8.bias": [-0.204446, 0.378561, 0.096475, 0.084894, 0.544291, 0.26016], "network.10.weight": [[0.140727, -0.245152, 0.476224, 0.752198, -0.221326, -0.24664], [0.684122, -0.352063, 0.073654, 0.607284, 0.095295, -0.09292], [0.625007, -0.512536, 0.696555, 0.485711, -0.395164, -0.384205], [-0.8491, 0.231127, 0.564227, -0.098292, 0.81791, -0.178054], [0.170247, 0.402806, 0.001366, -0.46281, 0.196102, 0.287925], [-0.263534, -0.073787, -0.270101, -0.176965, -0.28678, -0.017491]], "network.10.bias": [0.170151, -0.040686, 0.180638, 0.080982, -0.343156, -0.189989], "network.12.weight": [[-0.422168, -0.335812, -0.465726, 0.348341, 0.268084, -0.156251]], "network.12.bias": [0.429348]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7262115180492401, "train_acc": 0.415, "val_loss": 0.6879299879074097, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6972857415676117, "train_acc": 0.425, "val_loss": 0.7040479779243469, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6589880287647247, "train_acc": 0.585, "val_loss": 0.7110859751701355, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.587178111076355, "train_acc": 0.585, "val_loss": 0.6263905763626099, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5398834049701691, "train_acc": 0.515, "val_loss": 0.5448756814002991, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5010347366333008, "train_acc": 0.8, "val_loss": 0.5144128203392029, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.49662090837955475, "train_acc": 0.75, "val_loss": 0.45486778020858765, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.493338406085968, "train_acc": 0.75, "val_loss": 0.42956438660621643, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4148120731115341, "train_acc": 0.775, "val_loss": 0.355438232421875, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3453875333070755, "train_acc": 0.845, "val_loss": 0.7973896265029907, "val_acc": 0.68}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.5379064828157425, "train_acc": 0.8, "val_loss": 0.3322184085845947, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.3220502585172653, "train_acc": 0.865, "val_loss": 0.40491539239883423, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.3880613297224045, "train_acc": 0.815, "val_loss": 0.41968294978141785, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.4269019663333893, "train_acc": 0.79, "val_loss": 0.4097394049167633, "val_acc": 0.82}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6879299879074097, "final_val_loss": 0.6263905763626099, "initial_val_acc": 0.56, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5448756814002991, "final_val_loss": 0.4097394049167633, "initial_val_acc": 0.82, "final_val_acc": 0.82, "best_val_acc": 0.88, "best_epoch": 8}, "improvement": 0.44, "first_improvement_epoch": 3}}
|
9,720
|
{"target_pattern": "alternating", "degraded_accuracy": 0.64, "improved_accuracy": 1.0, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6283, "learning_rate": 0.0780950770098563, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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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: [-4.290460, 1.362493, 2.352202, -1.919359, -4.223365, -3.942863, -1.906653, 2.118124]
std: [2.647358, 2.725657, 2.241638, 1.322896, 2.705502, 2.503114, 1.586489, 2.122253]
pca: [[0.488168, 0.005749, -0.052245, 0.614969, -0.189684, -0.393045, -0.432647, 0.055639, 0.000000, 0.000000], [-0.218369, 0.776960, -0.126744, 0.336149, 0.116165, -0.126236, 0.353611, 0.255184, 0.000000, 0.000000], [-0.236158, -0.561509, -0.026641, 0.481822, -0.228731, -0.021639, 0.557340, 0.180722, 0.000000, 0.000000], [0.179192, -0.103020, 0.198161, 0.312475, 0.786917, 0.058642, 0.169928, -0.410872, 0.000000, 0.000000], [0.508406, 0.154682, 0.165484, -0.234250, -0.344279, -0.252835, 0.554313, -0.381605, 0.000000, 0.000000], [0.473523, -0.100169, 0.200766, -0.209195, 0.273131, 0.036537, 0.156468, 0.762401, 0.000000, 0.000000], [0.279851, 0.164744, 0.053328, 0.265736, -0.250547, 0.869595, 0.003186, -0.045866, 0.000000, 0.000000], [-0.255166, 0.096407, 0.933109, 0.098854, -0.151877, -0.064944, -0.128521, 0.036453, 0.000000, 0.000000]]
fourier: [[42.233689, 43.334844, 43.724155, 54.368588, 386.141440], [46.333574, 48.588028, 53.361297, 55.486449, 122.624343], [35.688605, 37.097143, 39.862299, 46.193043, 211.698204], [19.980836, 22.809546, 23.839069, 24.624026, 172.742269], [40.713049, 42.652730, 46.295488, 55.638695, 380.102873], [42.575550, 44.721307, 47.929311, 50.188507, 354.857685], [24.213002, 24.318256, 31.587389, 32.031184, 171.598755], [33.355839, 33.622194, 36.491343, 37.373109, 190.631196]]
### 2
mean: [2.850070, 0.867961, 3.000149, -0.216073, -2.127603, -2.314696, 0.125310, -1.503945]
std: [3.172375, 0.988605, 1.787774, 3.285468, 3.218187, 1.371285, 1.228679, 0.909868]
pca: [[-0.285211, 0.781628, 0.113393, -0.234128, -0.074781, 0.227659, -0.003210, -0.427326, 0.000000, 0.000000], [0.019732, -0.098572, -0.412408, 0.387079, 0.450676, 0.334039, 0.423875, -0.419074, 0.000000, 0.000000], [0.088868, 0.465594, -0.135405, 0.427520, 0.166593, 0.295928, -0.183705, 0.652029, 0.000000, 0.000000], [0.662511, 0.060178, 0.546905, 0.345653, -0.027554, 0.087136, -0.160006, -0.323919, 0.000000, 0.000000], [-0.652146, -0.229032, 0.366209, 0.546231, -0.231247, 0.147469, -0.100986, -0.065971, 0.000000, 0.000000], [-0.176480, -0.143774, 0.437495, -0.305121, 0.770951, 0.167680, -0.179986, 0.093842, 0.000000, 0.000000], [-0.064249, 0.257544, 0.326047, 0.176643, 0.170674, -0.560892, 0.647575, 0.170149, 0.000000, 0.000000], [0.104304, -0.139592, 0.260394, -0.265394, -0.292944, 0.613970, 0.546831, 0.263810, 0.000000, 0.000000]]
fourier: [[48.354143, 50.620353, 58.086585, 63.849202, 256.506280], [15.169259, 15.228209, 18.051897, 20.735051, 78.116467], [27.862004, 30.953048, 31.389801, 32.188141, 270.013458], [51.671126, 51.849800, 53.883173, 61.737963, 66.437527], [51.012441, 51.744548, 59.121475, 63.502569, 191.484282], [19.826444, 20.677412, 25.369391, 26.175740, 208.322618], [18.455088, 18.512141, 19.077306, 20.820809, 21.722772], [13.041327, 15.375673, 16.631931, 18.980043, 135.355028]]
### 4
mean: [-2.957763, 2.388587, -0.896410, -3.305536, -1.029598, 1.979134, -1.945269, -3.463001]
std: [2.373318, 3.892216, 2.353775, 2.117121, 0.599882, 1.968082, 0.892434, 1.448728]
pca: [[-0.435122, -0.091195, 0.315081, 0.056300, 0.294657, -0.447347, -0.588711, -0.257650, 0.000000, 0.000000], [0.718597, -0.125231, 0.389012, -0.376651, -0.097517, -0.284661, -0.242068, 0.160003, 0.000000, 0.000000], [0.125850, 0.914891, -0.180240, -0.152413, 0.188382, -0.208476, -0.049207, -0.100242, 0.000000, 0.000000], [-0.381883, 0.188607, 0.256318, 0.015461, -0.399470, -0.355300, 0.172388, 0.661153, 0.000000, 0.000000], [-0.049584, -0.159153, 0.153111, -0.234403, 0.639318, -0.278232, 0.637627, 0.033388, 0.000000, 0.000000], [0.296932, 0.148154, 0.409749, 0.820808, 0.062095, -0.065950, 0.177251, -0.092942, 0.000000, 0.000000], [-0.081660, 0.171785, 0.393031, -0.080163, 0.404710, 0.648239, -0.231529, 0.406586, 0.000000, 0.000000], [-0.187934, 0.163134, 0.552628, -0.310481, -0.363634, 0.217193, 0.266628, -0.534583, 0.000000, 0.000000]]
fourier: [[35.470794, 36.138229, 45.868459, 46.570510, 266.198684], [56.649861, 57.649520, 65.470650, 72.578757, 214.972871], [39.290005, 41.948643, 44.539640, 48.146809, 80.676941], [32.185529, 33.128475, 34.334081, 40.550197, 297.498219], [9.718900, 10.004634, 10.160419, 11.442214, 92.663782], [31.509463, 31.701736, 32.726527, 35.214205, 178.122081], [13.747965, 14.559558, 15.886015, 16.425984, 175.074214], [21.916203, 21.989843, 25.818785, 30.427298, 311.670039]]
### 6
mean: [-0.746828, 2.304661, 0.443930, 5.172815, -0.426163, -1.307106, 0.492889, -0.959403]
std: [0.688788, 2.580360, 1.029109, 5.618780, 1.751320, 0.902097, 0.767288, 0.612679]
pca: [[-0.072442, -0.248906, 0.723197, 0.418595, -0.365077, -0.122866, 0.119306, -0.268237, 0.000000, 0.000000], [0.398010, 0.002769, 0.246111, -0.016185, 0.009272, 0.010096, 0.495583, 0.731408, 0.000000, 0.000000], [0.018147, 0.649228, 0.228672, -0.419941, -0.503028, 0.295246, 0.000433, -0.096564, 0.000000, 0.000000], [0.867100, 0.089708, -0.165933, 0.199542, -0.022597, -0.012393, 0.004886, -0.414791, 0.000000, 0.000000], [-0.239576, 0.508098, -0.357853, 0.621104, -0.177760, -0.222112, 0.290983, 0.070762, 0.000000, 0.000000], [-0.138639, -0.052918, -0.048633, -0.341046, 0.199838, -0.128334, 0.778446, -0.443755, 0.000000, 0.000000], [-0.018745, 0.467377, 0.438724, 0.158228, 0.735304, 0.085031, -0.095882, -0.081222, 0.000000, 0.000000], [-0.084739, -0.170551, -0.116993, 0.285009, 0.029656, 0.907989, 0.200743, -0.056496, 0.000000, 0.000000]]
fourier: [[11.466535, 12.277691, 12.995567, 13.810215, 67.214504], [36.313366, 37.766850, 40.209616, 49.657982, 207.419456], [15.975138, 16.728026, 16.871287, 17.341925, 39.953717], [78.966385, 84.724590, 88.504881, 106.738021, 465.553340], [26.257811, 26.837046, 26.936852, 32.622956, 38.354690], [12.389211, 13.937650, 14.234922, 17.052002, 117.639576], [11.794368, 12.834705, 12.938493, 13.430480, 44.360006], [8.736752, 10.006427, 10.432855, 11.533032, 86.346299]]
### 8
mean: [-6.289737]
std: [8.280660]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[120.633347, 121.077662, 133.522507, 160.979878, 566.076343]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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]
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"network.0.bias": [
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0.003564
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],
"network.2.bias": [
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"network.4.bias": [
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"network.6.weight": [
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[
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"network.8.weight": [
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [-4.290460, 1.362493, 2.352202, -1.919359, -4.223365, -3.942863, -1.906653, 2.118124]
std: [2.647358, 2.725657, 2.241638, 1.322896, 2.705502, 2.503114, 1.586489, 2.122253]
pca: [[0.488168, 0.005749, -0.052245, 0.614969, -0.189684, -0.393045, -0.432647, 0.055639, 0.000000, 0.000000], [-0.218369, 0.776960, -0.126744, 0.336149, 0.116165, -0.126236, 0.353611, 0.255184, 0.000000, 0.000000], [-0.236158, -0.561509, -0.026641, 0.481822, -0.228731, -0.021639, 0.557340, 0.180722, 0.000000, 0.000000], [0.179192, -0.103020, 0.198161, 0.312475, 0.786917, 0.058642, 0.169928, -0.410872, 0.000000, 0.000000], [0.508406, 0.154682, 0.165484, -0.234250, -0.344279, -0.252835, 0.554313, -0.381605, 0.000000, 0.000000], [0.473523, -0.100169, 0.200766, -0.209195, 0.273131, 0.036537, 0.156468, 0.762401, 0.000000, 0.000000], [0.279851, 0.164744, 0.053328, 0.265736, -0.250547, 0.869595, 0.003186, -0.045866, 0.000000, 0.000000], [-0.255166, 0.096407, 0.933109, 0.098854, -0.151877, -0.064944, -0.128521, 0.036453, 0.000000, 0.000000]]
fourier: [[42.233689, 43.334844, 43.724155, 54.368588, 386.141440], [46.333574, 48.588028, 53.361297, 55.486449, 122.624343], [35.688605, 37.097143, 39.862299, 46.193043, 211.698204], [19.980836, 22.809546, 23.839069, 24.624026, 172.742269], [40.713049, 42.652730, 46.295488, 55.638695, 380.102873], [42.575550, 44.721307, 47.929311, 50.188507, 354.857685], [24.213002, 24.318256, 31.587389, 32.031184, 171.598755], [33.355839, 33.622194, 36.491343, 37.373109, 190.631196]]
### 2
mean: [2.850070, 0.867961, 3.000149, -0.216073, -2.127603, -2.314696, 0.125310, -1.503945]
std: [3.172375, 0.988605, 1.787774, 3.285468, 3.218187, 1.371285, 1.228679, 0.909868]
pca: [[-0.285211, 0.781628, 0.113393, -0.234128, -0.074781, 0.227659, -0.003210, -0.427326, 0.000000, 0.000000], [0.019732, -0.098572, -0.412408, 0.387079, 0.450676, 0.334039, 0.423875, -0.419074, 0.000000, 0.000000], [0.088868, 0.465594, -0.135405, 0.427520, 0.166593, 0.295928, -0.183705, 0.652029, 0.000000, 0.000000], [0.662511, 0.060178, 0.546905, 0.345653, -0.027554, 0.087136, -0.160006, -0.323919, 0.000000, 0.000000], [-0.652146, -0.229032, 0.366209, 0.546231, -0.231247, 0.147469, -0.100986, -0.065971, 0.000000, 0.000000], [-0.176480, -0.143774, 0.437495, -0.305121, 0.770951, 0.167680, -0.179986, 0.093842, 0.000000, 0.000000], [-0.064249, 0.257544, 0.326047, 0.176643, 0.170674, -0.560892, 0.647575, 0.170149, 0.000000, 0.000000], [0.104304, -0.139592, 0.260394, -0.265394, -0.292944, 0.613970, 0.546831, 0.263810, 0.000000, 0.000000]]
fourier: [[48.354143, 50.620353, 58.086585, 63.849202, 256.506280], [15.169259, 15.228209, 18.051897, 20.735051, 78.116467], [27.862004, 30.953048, 31.389801, 32.188141, 270.013458], [51.671126, 51.849800, 53.883173, 61.737963, 66.437527], [51.012441, 51.744548, 59.121475, 63.502569, 191.484282], [19.826444, 20.677412, 25.369391, 26.175740, 208.322618], [18.455088, 18.512141, 19.077306, 20.820809, 21.722772], [13.041327, 15.375673, 16.631931, 18.980043, 135.355028]]
### 4
mean: [-2.957763, 2.388587, -0.896410, -3.305536, -1.029598, 1.979134, -1.945269, -3.463001]
std: [2.373318, 3.892216, 2.353775, 2.117121, 0.599882, 1.968082, 0.892434, 1.448728]
pca: [[-0.435122, -0.091195, 0.315081, 0.056300, 0.294657, -0.447347, -0.588711, -0.257650, 0.000000, 0.000000], [0.718597, -0.125231, 0.389012, -0.376651, -0.097517, -0.284661, -0.242068, 0.160003, 0.000000, 0.000000], [0.125850, 0.914891, -0.180240, -0.152413, 0.188382, -0.208476, -0.049207, -0.100242, 0.000000, 0.000000], [-0.381883, 0.188607, 0.256318, 0.015461, -0.399470, -0.355300, 0.172388, 0.661153, 0.000000, 0.000000], [-0.049584, -0.159153, 0.153111, -0.234403, 0.639318, -0.278232, 0.637627, 0.033388, 0.000000, 0.000000], [0.296932, 0.148154, 0.409749, 0.820808, 0.062095, -0.065950, 0.177251, -0.092942, 0.000000, 0.000000], [-0.081660, 0.171785, 0.393031, -0.080163, 0.404710, 0.648239, -0.231529, 0.406586, 0.000000, 0.000000], [-0.187934, 0.163134, 0.552628, -0.310481, -0.363634, 0.217193, 0.266628, -0.534583, 0.000000, 0.000000]]
fourier: [[35.470794, 36.138229, 45.868459, 46.570510, 266.198684], [56.649861, 57.649520, 65.470650, 72.578757, 214.972871], [39.290005, 41.948643, 44.539640, 48.146809, 80.676941], [32.185529, 33.128475, 34.334081, 40.550197, 297.498219], [9.718900, 10.004634, 10.160419, 11.442214, 92.663782], [31.509463, 31.701736, 32.726527, 35.214205, 178.122081], [13.747965, 14.559558, 15.886015, 16.425984, 175.074214], [21.916203, 21.989843, 25.818785, 30.427298, 311.670039]]
### 6
mean: [-0.746828, 2.304661, 0.443930, 5.172815, -0.426163, -1.307106, 0.492889, -0.959403]
std: [0.688788, 2.580360, 1.029109, 5.618780, 1.751320, 0.902097, 0.767288, 0.612679]
pca: [[-0.072442, -0.248906, 0.723197, 0.418595, -0.365077, -0.122866, 0.119306, -0.268237, 0.000000, 0.000000], [0.398010, 0.002769, 0.246111, -0.016185, 0.009272, 0.010096, 0.495583, 0.731408, 0.000000, 0.000000], [0.018147, 0.649228, 0.228672, -0.419941, -0.503028, 0.295246, 0.000433, -0.096564, 0.000000, 0.000000], [0.867100, 0.089708, -0.165933, 0.199542, -0.022597, -0.012393, 0.004886, -0.414791, 0.000000, 0.000000], [-0.239576, 0.508098, -0.357853, 0.621104, -0.177760, -0.222112, 0.290983, 0.070762, 0.000000, 0.000000], [-0.138639, -0.052918, -0.048633, -0.341046, 0.199838, -0.128334, 0.778446, -0.443755, 0.000000, 0.000000], [-0.018745, 0.467377, 0.438724, 0.158228, 0.735304, 0.085031, -0.095882, -0.081222, 0.000000, 0.000000], [-0.084739, -0.170551, -0.116993, 0.285009, 0.029656, 0.907989, 0.200743, -0.056496, 0.000000, 0.000000]]
fourier: [[11.466535, 12.277691, 12.995567, 13.810215, 67.214504], [36.313366, 37.766850, 40.209616, 49.657982, 207.419456], [15.975138, 16.728026, 16.871287, 17.341925, 39.953717], [78.966385, 84.724590, 88.504881, 106.738021, 465.553340], [26.257811, 26.837046, 26.936852, 32.622956, 38.354690], [12.389211, 13.937650, 14.234922, 17.052002, 117.639576], [11.794368, 12.834705, 12.938493, 13.430480, 44.360006], [8.736752, 10.006427, 10.432855, 11.533032, 86.346299]]
### 8
mean: [-6.289737]
std: [8.280660]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[120.633347, 121.077662, 133.522507, 160.979878, 566.076343]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 0.6881927847862244, "train_acc": 0.58, "val_loss": 0.710838794708252, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.681156724691391, "train_acc": 0.58, "val_loss": 0.6976568698883057, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6839103102684021, "train_acc": 0.58, "val_loss": 0.7015788555145264, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6744008660316467, "train_acc": 0.58, "val_loss": 0.6986290216445923, "val_acc": 0.48}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.651700884103775, "train_acc": 0.58, "val_loss": 0.6468192338943481, "val_acc": 0.64}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5751217603683472, "train_acc": 0.685, "val_loss": 0.5279972553253174, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.4854924976825714, "train_acc": 0.73, "val_loss": 0.47709694504737854, "val_acc": 0.58}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.38163773715496063, "train_acc": 0.785, "val_loss": 0.44355034828186035, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.32985159754753113, "train_acc": 0.885, "val_loss": 0.3656059503555298, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.2817936986684799, "train_acc": 0.88, "val_loss": 0.2932708263397217, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.22951769828796387, "train_acc": 0.91, "val_loss": 0.21136540174484253, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.1886967569589615, "train_acc": 0.935, "val_loss": 0.14518021047115326, "val_acc": 1.0}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.1290558986365795, "train_acc": 0.97, "val_loss": 0.10164819657802582, "val_acc": 1.0}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.07138826325535774, "train_acc": 0.985, "val_loss": 0.06934437900781631, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.11940312385559082, "train_acc": 0.96, "val_loss": 0.12230458855628967, "val_acc": 0.98}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.710838794708252, "final_val_loss": 0.6468192338943481, "initial_val_acc": 0.48, "final_val_acc": 0.64, "best_val_acc": 0.64}, "improved_stage": {"initial_val_loss": 0.5279972553253174, "final_val_loss": 0.12230458855628967, "initial_val_acc": 0.68, "final_val_acc": 0.98, "best_val_acc": 1.0, "best_epoch": 11}, "improvement": 0.36, "first_improvement_epoch": 4}}
|
9,721
|
{"target_pattern": "alternating", "degraded_accuracy": 0.7, "improved_accuracy": 0.98, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1421, "learning_rate": 0.09349909631881474, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.8.bias": [
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}
## Activation Signature
### 0
mean: [-0.150151, -0.391125, -0.348967, 0.593515, -4.349278]
std: [1.654562, 1.519651, 1.835279, 1.201221, 2.740571]
pca: [[-0.127209, 0.064294, 0.922484, -0.192624, -0.302660, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.257378, -0.536626, 0.023601, -0.646078, 0.477301, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.302059, 0.656848, 0.168854, -0.183810, 0.644215, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.300802, -0.241028, 0.291707, 0.709502, 0.512774, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.857819, -0.467284, 0.186712, 0.091105, 0.051290, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.298500, 24.715546, 24.879173, 26.705903, 27.347413], [21.808972, 23.807366, 25.467864, 26.221630, 35.201211], [26.511108, 29.837695, 29.916052, 31.407036, 31.947358], [19.175306, 20.638602, 21.613388, 21.687142, 53.416345], [40.658048, 46.337957, 54.385402, 54.816171, 391.435024]]
### 2
mean: [1.185760, -0.474241, -0.534942, -0.835663, 0.373143]
std: [1.612899, 0.575997, 1.456884, 1.456890, 1.130673]
pca: [[0.594213, -0.190262, 0.677159, -0.273009, 0.278629, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.210532, 0.062323, 0.246135, 0.725415, 0.604138, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.539554, -0.082406, 0.671522, 0.038754, -0.499647, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.544796, 0.066524, 0.016683, -0.628387, 0.551020, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.121104, 0.974012, 0.172201, -0.053549, -0.064136, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.640442, 30.799913, 30.992200, 33.741612, 106.718361], [10.236243, 10.373174, 10.494371, 11.658342, 42.681719], [23.890085, 25.700974, 27.209357, 31.298420, 48.144788], [24.736422, 26.529671, 29.940721, 30.084930, 75.209707], [18.038797, 18.099472, 21.187308, 23.180593, 33.582889]]
### 4
mean: [1.219197, -0.769611, 2.112639, -0.731908, 1.792483]
std: [1.680292, 0.599609, 2.253376, 1.957425, 2.007622]
pca: [[0.416979, 0.778433, -0.135632, -0.241494, -0.378755, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.148646, 0.085409, 0.548633, 0.593714, -0.563129, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.561738, -0.314868, 0.646022, -0.409832, 0.001266, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.487454, 0.493260, 0.510808, -0.240522, 0.447557, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.500871, 0.210475, 0.048333, 0.602803, 0.582341, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.964800, 30.635131, 32.866634, 34.503994, 109.727727], [10.515461, 10.535086, 11.970755, 12.435217, 69.264948], [37.534385, 37.994564, 43.724165, 45.983348, 190.137546], [32.676414, 34.011943, 38.209002, 40.619125, 65.871687], [33.060347, 34.953423, 40.163053, 40.319324, 161.323433]]
### 6
mean: [-1.609559, -1.531843, 0.030814, 4.404200, -1.545421]
std: [2.539163, 2.272831, 0.968130, 4.691222, 2.933378]
pca: [[-0.387762, 0.000535, 0.273840, -0.226378, 0.850532, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.346717, -0.197317, 0.348295, 0.847085, -0.044624, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.128829, 0.893241, -0.301813, 0.285432, 0.113847, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.716098, 0.259048, 0.620259, 0.106578, 0.154976, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.447252, 0.309968, 0.572617, -0.371982, -0.487468, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.762967, 42.403298, 49.016201, 51.976940, 144.860302], [37.292553, 38.557627, 44.679817, 46.281431, 137.865893], [13.230924, 13.767329, 15.659049, 17.702389, 18.223994], [76.226558, 79.609314, 91.683218, 95.566139, 396.377979], [47.791115, 49.374578, 55.131925, 60.304561, 139.087897]]
### 8
mean: [-2.970542]
std: [4.161533]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[66.937651, 72.877679, 75.117255, 82.480249, 267.348770]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.314224,
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0.113014,
0.729933,
0.459106
],
"network.8.weight": [
[
0.773813,
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0.531133,
-0.692527,
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],
"network.8.bias": [
-0.645094
]
}
## Activation Signature
### 0
mean: [-0.150151, -0.391125, -0.348967, 0.593515, -4.349278]
std: [1.654562, 1.519651, 1.835279, 1.201221, 2.740571]
pca: [[-0.127209, 0.064294, 0.922484, -0.192624, -0.302660, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.257378, -0.536626, 0.023601, -0.646078, 0.477301, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.302059, 0.656848, 0.168854, -0.183810, 0.644215, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.300802, -0.241028, 0.291707, 0.709502, 0.512774, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.857819, -0.467284, 0.186712, 0.091105, 0.051290, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.298500, 24.715546, 24.879173, 26.705903, 27.347413], [21.808972, 23.807366, 25.467864, 26.221630, 35.201211], [26.511108, 29.837695, 29.916052, 31.407036, 31.947358], [19.175306, 20.638602, 21.613388, 21.687142, 53.416345], [40.658048, 46.337957, 54.385402, 54.816171, 391.435024]]
### 2
mean: [1.185760, -0.474241, -0.534942, -0.835663, 0.373143]
std: [1.612899, 0.575997, 1.456884, 1.456890, 1.130673]
pca: [[0.594213, -0.190262, 0.677159, -0.273009, 0.278629, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.210532, 0.062323, 0.246135, 0.725415, 0.604138, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.539554, -0.082406, 0.671522, 0.038754, -0.499647, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.544796, 0.066524, 0.016683, -0.628387, 0.551020, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.121104, 0.974012, 0.172201, -0.053549, -0.064136, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.640442, 30.799913, 30.992200, 33.741612, 106.718361], [10.236243, 10.373174, 10.494371, 11.658342, 42.681719], [23.890085, 25.700974, 27.209357, 31.298420, 48.144788], [24.736422, 26.529671, 29.940721, 30.084930, 75.209707], [18.038797, 18.099472, 21.187308, 23.180593, 33.582889]]
### 4
mean: [1.219197, -0.769611, 2.112639, -0.731908, 1.792483]
std: [1.680292, 0.599609, 2.253376, 1.957425, 2.007622]
pca: [[0.416979, 0.778433, -0.135632, -0.241494, -0.378755, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.148646, 0.085409, 0.548633, 0.593714, -0.563129, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.561738, -0.314868, 0.646022, -0.409832, 0.001266, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.487454, 0.493260, 0.510808, -0.240522, 0.447557, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.500871, 0.210475, 0.048333, 0.602803, 0.582341, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.964800, 30.635131, 32.866634, 34.503994, 109.727727], [10.515461, 10.535086, 11.970755, 12.435217, 69.264948], [37.534385, 37.994564, 43.724165, 45.983348, 190.137546], [32.676414, 34.011943, 38.209002, 40.619125, 65.871687], [33.060347, 34.953423, 40.163053, 40.319324, 161.323433]]
### 6
mean: [-1.609559, -1.531843, 0.030814, 4.404200, -1.545421]
std: [2.539163, 2.272831, 0.968130, 4.691222, 2.933378]
pca: [[-0.387762, 0.000535, 0.273840, -0.226378, 0.850532, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.346717, -0.197317, 0.348295, 0.847085, -0.044624, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.128829, 0.893241, -0.301813, 0.285432, 0.113847, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.716098, 0.259048, 0.620259, 0.106578, 0.154976, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.447252, 0.309968, 0.572617, -0.371982, -0.487468, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.762967, 42.403298, 49.016201, 51.976940, 144.860302], [37.292553, 38.557627, 44.679817, 46.281431, 137.865893], [13.230924, 13.767329, 15.659049, 17.702389, 18.223994], [76.226558, 79.609314, 91.683218, 95.566139, 396.377979], [47.791115, 49.374578, 55.131925, 60.304561, 139.087897]]
### 8
mean: [-2.970542]
std: [4.161533]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[66.937651, 72.877679, 75.117255, 82.480249, 267.348770]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.541904, 0.347098, 0.617775, -0.504779, -0.132483], [0.463132, 0.386361, -0.203391, -0.410254, -0.252892], [-0.720239, -0.306665, 0.263176, 0.240196, 0.450954], [0.168799, 0.318199, 0.285765, -0.198434, -0.344794], [-0.392441, -0.347342, -0.810964, -0.155997, -0.562717]], "network.0.bias": [-0.152869, -0.054974, -0.514866, 0.057471, -0.505413], "network.2.weight": [[0.945249, 0.568667, 0.972941, 0.458948, 0.362056], [-0.24528, -0.309326, -0.466245, -0.11914, -0.290116], [-0.952933, -1.002731, -1.17887, 0.265899, -0.463812], [-1.0193, -0.900986, -0.961783, 0.079876, -0.417832], [0.474482, -0.349167, 0.710179, -0.57848, 0.277944]], "network.2.bias": [-0.137274, -0.003163, 0.491302, 0.239567, 0.399426], "network.4.weight": [[0.774072, -0.579778, -0.191118, -0.066983, 0.785465], [-0.323559, 0.315365, -0.101262, 0.34098, -0.132067], [0.978415, -0.296381, -0.834309, -0.857454, 0.754024], [-0.943553, 0.06462, 0.612225, 0.706569, -0.48798], [0.923238, 0.083195, -0.482412, -0.6458, 0.752676]], "network.4.bias": [-0.129202, -0.297748, 0.778135, 0.470056, 0.447989], "network.6.weight": [[-0.063366, 0.172556, -0.369728, 0.573707, -0.696354], [-0.265125, 0.009837, -0.571535, 0.26342, -0.241924], [0.37776, 0.242471, -0.488107, 1.059166, 0.056123], [0.63383, -0.91776, 0.707492, -0.871273, 0.886081], [0.180437, -0.13799, -0.531904, 0.958356, -0.821005]], "network.6.bias": [0.314224, 0.361285, 0.113014, 0.729933, 0.459106], "network.8.weight": [[0.773813, 0.41564, 0.531133, -0.692527, 0.55928]], "network.8.bias": [-0.645094]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6946881413459778, "train_acc": 0.57, "val_loss": 0.7190364599227905, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.677780956029892, "train_acc": 0.57, "val_loss": 0.6376937031745911, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6363837718963623, "train_acc": 0.68, "val_loss": 0.47868308424949646, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.38720080256462097, "train_acc": 0.86, "val_loss": 0.35599058866500854, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3629119098186493, "train_acc": 0.86, "val_loss": 0.15086239576339722, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.12157971784472466, "train_acc": 0.98, "val_loss": 0.09316728264093399, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.10246487334370613, "train_acc": 0.98, "val_loss": 0.061486683785915375, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.04385975329205394, "train_acc": 0.99, "val_loss": 0.12094827741384506, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.07579149678349495, "train_acc": 0.98, "val_loss": 0.06848252564668655, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.0443227831274271, "train_acc": 0.99, "val_loss": 0.060623809695243835, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.06458231620490551, "train_acc": 0.98, "val_loss": 0.09724006801843643, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.13764340430498123, "train_acc": 0.965, "val_loss": 0.12115488946437836, "val_acc": 0.98}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7190364599227905, "final_val_loss": 0.6376937031745911, "initial_val_acc": 0.46, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.47868308424949646, "final_val_loss": 0.12115488946437836, "initial_val_acc": 0.8, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 5}, "improvement": 0.28, "first_improvement_epoch": 1}}
|
9,722
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.52, "improved_accuracy": 0.96, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6441, "learning_rate": 0.05675312678265443, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
mean: [0.384077, 0.479021, 0.542330, 2.329478, -1.432999, -2.347525, 1.148061]
std: [1.591671, 0.970532, 1.686562, 2.011143, 1.284168, 1.596367, 1.075709]
pca: [[0.418077, 0.443322, 0.116854, -0.369364, 0.500432, -0.264646, -0.397648, 0.000000, 0.000000, 0.000000], [0.281102, -0.006550, -0.250829, -0.120509, 0.401208, 0.759014, 0.326237, 0.000000, 0.000000, 0.000000], [0.508865, 0.353928, -0.022415, -0.027083, -0.392178, -0.259418, 0.627260, 0.000000, 0.000000, 0.000000], [0.618416, -0.258285, 0.298908, 0.287472, -0.340515, 0.278266, -0.430675, 0.000000, 0.000000, 0.000000], [-0.004981, 0.449223, -0.360904, 0.790111, 0.159078, -0.014303, -0.134669, 0.000000, 0.000000, 0.000000], [-0.323674, 0.620737, 0.484291, -0.081999, -0.268051, 0.439597, -0.059687, 0.000000, 0.000000, 0.000000], [0.004624, -0.155985, 0.684684, 0.366980, 0.470839, -0.125223, 0.367166, 0.000000, 0.000000, 0.000000]]
fourier: [[23.930217, 26.483069, 26.934028, 27.306520, 34.566961], [15.215693, 15.642389, 16.001553, 16.439343, 43.111885], [26.329729, 26.833125, 29.120707, 29.515546, 48.809720], [31.196478, 32.949342, 36.139638, 36.465862, 209.652974], [18.936821, 19.411988, 19.893407, 22.225530, 128.969924], [24.936804, 26.654807, 28.421299, 33.172697, 211.277264], [17.455449, 18.239842, 19.902364, 21.315985, 103.325460]]
### 2
mean: [1.816501, -1.451841, -0.539449, 1.774074, 1.590940, 1.969812, 2.111785]
std: [1.886253, 0.916994, 0.629382, 1.164946, 1.111037, 1.977763, 1.415124]
pca: [[0.523437, -0.481056, -0.157999, 0.163547, -0.462755, 0.002783, -0.478265, 0.000000, 0.000000, 0.000000], [-0.250197, -0.003972, 0.800637, -0.227571, -0.234885, 0.205405, -0.383687, 0.000000, 0.000000, 0.000000], [-0.125842, -0.405680, 0.379626, 0.707079, 0.249822, -0.304286, 0.143208, 0.000000, 0.000000, 0.000000], [0.295605, 0.545525, 0.187522, 0.457661, -0.468115, 0.215826, 0.323559, 0.000000, 0.000000, 0.000000], [0.317098, 0.030045, 0.047204, 0.175000, 0.594922, 0.683681, -0.210574, 0.000000, 0.000000, 0.000000], [0.559301, -0.276201, 0.356792, -0.425622, 0.092702, -0.078424, 0.536373, 0.000000, 0.000000, 0.000000], [0.383181, 0.478754, 0.158769, -0.016420, 0.294310, -0.587418, -0.408425, 0.000000, 0.000000, 0.000000]]
fourier: [[29.286756, 29.300928, 33.422987, 33.855506, 163.485098], [14.768981, 15.160204, 16.119698, 16.506496, 130.665663], [10.167377, 10.930715, 11.626749, 11.884617, 48.550444], [18.205150, 19.348736, 19.906543, 20.905509, 159.666709], [17.121997, 17.289460, 18.831417, 19.640010, 143.184578], [29.187368, 34.085880, 35.187766, 35.257097, 177.283079], [21.815065, 22.748639, 23.191787, 23.847565, 190.060619]]
### 4
mean: [-0.651486, -1.183397, -0.606659, -0.507718, -2.414656, 3.006514, -2.149292]
std: [0.838462, 1.051512, 0.411611, 0.135039, 2.261957, 2.324503, 1.612298]
pca: [[-0.206893, -0.372869, 0.658952, -0.104379, -0.370706, 0.206148, 0.439466, 0.000000, 0.000000, 0.000000], [-0.273288, 0.173398, -0.233161, 0.497643, 0.197987, -0.157969, 0.727380, 0.000000, 0.000000, 0.000000], [-0.036584, -0.520782, -0.493061, -0.144136, 0.214519, 0.632958, 0.130036, 0.000000, 0.000000, 0.000000], [-0.026296, 0.079334, 0.412229, 0.607496, 0.378356, 0.459776, -0.315410, 0.000000, 0.000000, 0.000000], [-0.580965, 0.612213, -0.025936, -0.364429, -0.048998, 0.388775, -0.025439, 0.000000, 0.000000, 0.000000], [0.606187, 0.314889, 0.229619, -0.354114, 0.414039, 0.171274, 0.393061, 0.000000, 0.000000, 0.000000], [-0.418921, -0.281842, 0.212082, -0.305655, 0.678511, -0.374216, -0.079065, 0.000000, 0.000000, 0.000000]]
fourier: [[13.029415, 13.719374, 13.723040, 13.785113, 58.633711], [16.258092, 16.261366, 18.655014, 18.736992, 106.505753], [6.771536, 6.861473, 7.268829, 7.493334, 54.599353], [2.038191, 2.115738, 2.145876, 2.479363, 45.694632], [35.243109, 37.017619, 40.021508, 40.223093, 217.319021], [36.040326, 37.254002, 40.687965, 40.996272, 270.586287], [25.188373, 25.542956, 27.443308, 28.418126, 193.436276]]
### 6
mean: [-0.641917, 0.790997, 0.310901, 0.805498, 0.669716, -1.235649, -0.447270]
std: [0.370574, 0.804843, 0.537936, 0.860287, 0.522352, 0.822799, 0.136867]
pca: [[-0.222396, -0.029802, 0.290874, 0.582962, 0.155089, 0.558679, 0.434770, 0.000000, 0.000000, 0.000000], [0.483028, -0.123381, -0.373033, 0.142524, 0.403536, 0.472388, -0.453875, 0.000000, 0.000000, 0.000000], [0.322780, -0.101002, 0.530761, 0.360158, 0.411872, -0.533488, -0.141217, 0.000000, 0.000000, 0.000000], [0.516291, -0.147162, -0.407330, 0.367318, -0.376470, -0.230704, 0.464750, 0.000000, 0.000000, 0.000000], [0.311609, 0.682747, 0.301298, 0.157156, -0.461782, 0.181204, -0.274228, 0.000000, 0.000000, 0.000000], [-0.493851, -0.000925, -0.330912, 0.591432, -0.167482, -0.235633, -0.461782, 0.000000, 0.000000, 0.000000], [-0.074109, 0.697056, -0.358233, 0.026740, 0.510338, -0.196305, 0.283892, 0.000000, 0.000000, 0.000000]]
fourier: [[5.727012, 5.921236, 6.511922, 6.536055, 57.772497], [12.431260, 12.882393, 14.145186, 14.232065, 71.189736], [8.395796, 8.537033, 9.379257, 9.482250, 27.981133], [13.282408, 13.773510, 15.123072, 15.217807, 72.494818], [8.125577, 8.244067, 8.953566, 8.966896, 60.274455], [12.819979, 13.069798, 14.374278, 14.485863, 111.208416], [2.257649, 2.277511, 2.354448, 2.390894, 40.254297]]
### 8
mean: [-0.912753, -0.252131, 0.031803, 0.726587, -0.422273, -0.109939, 1.281606]
std: [0.245855, 0.342415, 0.301739, 0.689267, 0.175346, 0.686987, 1.143147]
pca: [[-0.153788, 0.181536, 0.431008, 0.605390, 0.008510, 0.211914, -0.588344, 0.000000, 0.000000, 0.000000], [-0.214306, 0.026296, 0.583965, -0.160140, 0.533042, -0.531005, 0.143602, 0.000000, 0.000000, 0.000000], [0.188780, -0.162913, 0.571695, 0.118605, -0.233921, 0.434615, 0.594399, 0.000000, 0.000000, 0.000000], [0.431434, 0.335818, -0.251309, 0.610846, 0.291353, -0.229069, 0.356992, 0.000000, 0.000000, 0.000000], [-0.108419, 0.622858, -0.046705, -0.316361, 0.422271, 0.561204, 0.069030, 0.000000, 0.000000, 0.000000], [-0.429827, -0.559847, -0.266038, 0.289815, 0.485285, 0.295179, 0.156266, 0.000000, 0.000000, 0.000000], [0.715642, -0.354483, 0.101330, -0.191264, 0.402957, 0.172285, -0.351130, 0.000000, 0.000000, 0.000000]]
fourier: [[3.855660, 3.892197, 4.317414, 4.365009, 82.147779], [5.401990, 5.431756, 6.020088, 6.071504, 22.691822], [4.456671, 4.553184, 4.810366, 5.299499, 5.484057], [10.762305, 10.988815, 12.125418, 12.298831, 65.392856], [2.649113, 2.692013, 3.035483, 3.171800, 38.004611], [10.157686, 10.624601, 11.015270, 12.084352, 12.274687], [17.699619, 18.136024, 20.095228, 20.523602, 115.344566]]
### 10
mean: [-0.673550]
std: [0.930380]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.778684, 14.826759, 16.189957, 16.886057, 60.619501]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.586982,
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"network.8.weight": [
[
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0.315289,
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"network.10.weight": [
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"network.10.bias": [
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}
## Activation Signature
### 0
mean: [0.384077, 0.479021, 0.542330, 2.329478, -1.432999, -2.347525, 1.148061]
std: [1.591671, 0.970532, 1.686562, 2.011143, 1.284168, 1.596367, 1.075709]
pca: [[0.418077, 0.443322, 0.116854, -0.369364, 0.500432, -0.264646, -0.397648, 0.000000, 0.000000, 0.000000], [0.281102, -0.006550, -0.250829, -0.120509, 0.401208, 0.759014, 0.326237, 0.000000, 0.000000, 0.000000], [0.508865, 0.353928, -0.022415, -0.027083, -0.392178, -0.259418, 0.627260, 0.000000, 0.000000, 0.000000], [0.618416, -0.258285, 0.298908, 0.287472, -0.340515, 0.278266, -0.430675, 0.000000, 0.000000, 0.000000], [-0.004981, 0.449223, -0.360904, 0.790111, 0.159078, -0.014303, -0.134669, 0.000000, 0.000000, 0.000000], [-0.323674, 0.620737, 0.484291, -0.081999, -0.268051, 0.439597, -0.059687, 0.000000, 0.000000, 0.000000], [0.004624, -0.155985, 0.684684, 0.366980, 0.470839, -0.125223, 0.367166, 0.000000, 0.000000, 0.000000]]
fourier: [[23.930217, 26.483069, 26.934028, 27.306520, 34.566961], [15.215693, 15.642389, 16.001553, 16.439343, 43.111885], [26.329729, 26.833125, 29.120707, 29.515546, 48.809720], [31.196478, 32.949342, 36.139638, 36.465862, 209.652974], [18.936821, 19.411988, 19.893407, 22.225530, 128.969924], [24.936804, 26.654807, 28.421299, 33.172697, 211.277264], [17.455449, 18.239842, 19.902364, 21.315985, 103.325460]]
### 2
mean: [1.816501, -1.451841, -0.539449, 1.774074, 1.590940, 1.969812, 2.111785]
std: [1.886253, 0.916994, 0.629382, 1.164946, 1.111037, 1.977763, 1.415124]
pca: [[0.523437, -0.481056, -0.157999, 0.163547, -0.462755, 0.002783, -0.478265, 0.000000, 0.000000, 0.000000], [-0.250197, -0.003972, 0.800637, -0.227571, -0.234885, 0.205405, -0.383687, 0.000000, 0.000000, 0.000000], [-0.125842, -0.405680, 0.379626, 0.707079, 0.249822, -0.304286, 0.143208, 0.000000, 0.000000, 0.000000], [0.295605, 0.545525, 0.187522, 0.457661, -0.468115, 0.215826, 0.323559, 0.000000, 0.000000, 0.000000], [0.317098, 0.030045, 0.047204, 0.175000, 0.594922, 0.683681, -0.210574, 0.000000, 0.000000, 0.000000], [0.559301, -0.276201, 0.356792, -0.425622, 0.092702, -0.078424, 0.536373, 0.000000, 0.000000, 0.000000], [0.383181, 0.478754, 0.158769, -0.016420, 0.294310, -0.587418, -0.408425, 0.000000, 0.000000, 0.000000]]
fourier: [[29.286756, 29.300928, 33.422987, 33.855506, 163.485098], [14.768981, 15.160204, 16.119698, 16.506496, 130.665663], [10.167377, 10.930715, 11.626749, 11.884617, 48.550444], [18.205150, 19.348736, 19.906543, 20.905509, 159.666709], [17.121997, 17.289460, 18.831417, 19.640010, 143.184578], [29.187368, 34.085880, 35.187766, 35.257097, 177.283079], [21.815065, 22.748639, 23.191787, 23.847565, 190.060619]]
### 4
mean: [-0.651486, -1.183397, -0.606659, -0.507718, -2.414656, 3.006514, -2.149292]
std: [0.838462, 1.051512, 0.411611, 0.135039, 2.261957, 2.324503, 1.612298]
pca: [[-0.206893, -0.372869, 0.658952, -0.104379, -0.370706, 0.206148, 0.439466, 0.000000, 0.000000, 0.000000], [-0.273288, 0.173398, -0.233161, 0.497643, 0.197987, -0.157969, 0.727380, 0.000000, 0.000000, 0.000000], [-0.036584, -0.520782, -0.493061, -0.144136, 0.214519, 0.632958, 0.130036, 0.000000, 0.000000, 0.000000], [-0.026296, 0.079334, 0.412229, 0.607496, 0.378356, 0.459776, -0.315410, 0.000000, 0.000000, 0.000000], [-0.580965, 0.612213, -0.025936, -0.364429, -0.048998, 0.388775, -0.025439, 0.000000, 0.000000, 0.000000], [0.606187, 0.314889, 0.229619, -0.354114, 0.414039, 0.171274, 0.393061, 0.000000, 0.000000, 0.000000], [-0.418921, -0.281842, 0.212082, -0.305655, 0.678511, -0.374216, -0.079065, 0.000000, 0.000000, 0.000000]]
fourier: [[13.029415, 13.719374, 13.723040, 13.785113, 58.633711], [16.258092, 16.261366, 18.655014, 18.736992, 106.505753], [6.771536, 6.861473, 7.268829, 7.493334, 54.599353], [2.038191, 2.115738, 2.145876, 2.479363, 45.694632], [35.243109, 37.017619, 40.021508, 40.223093, 217.319021], [36.040326, 37.254002, 40.687965, 40.996272, 270.586287], [25.188373, 25.542956, 27.443308, 28.418126, 193.436276]]
### 6
mean: [-0.641917, 0.790997, 0.310901, 0.805498, 0.669716, -1.235649, -0.447270]
std: [0.370574, 0.804843, 0.537936, 0.860287, 0.522352, 0.822799, 0.136867]
pca: [[-0.222396, -0.029802, 0.290874, 0.582962, 0.155089, 0.558679, 0.434770, 0.000000, 0.000000, 0.000000], [0.483028, -0.123381, -0.373033, 0.142524, 0.403536, 0.472388, -0.453875, 0.000000, 0.000000, 0.000000], [0.322780, -0.101002, 0.530761, 0.360158, 0.411872, -0.533488, -0.141217, 0.000000, 0.000000, 0.000000], [0.516291, -0.147162, -0.407330, 0.367318, -0.376470, -0.230704, 0.464750, 0.000000, 0.000000, 0.000000], [0.311609, 0.682747, 0.301298, 0.157156, -0.461782, 0.181204, -0.274228, 0.000000, 0.000000, 0.000000], [-0.493851, -0.000925, -0.330912, 0.591432, -0.167482, -0.235633, -0.461782, 0.000000, 0.000000, 0.000000], [-0.074109, 0.697056, -0.358233, 0.026740, 0.510338, -0.196305, 0.283892, 0.000000, 0.000000, 0.000000]]
fourier: [[5.727012, 5.921236, 6.511922, 6.536055, 57.772497], [12.431260, 12.882393, 14.145186, 14.232065, 71.189736], [8.395796, 8.537033, 9.379257, 9.482250, 27.981133], [13.282408, 13.773510, 15.123072, 15.217807, 72.494818], [8.125577, 8.244067, 8.953566, 8.966896, 60.274455], [12.819979, 13.069798, 14.374278, 14.485863, 111.208416], [2.257649, 2.277511, 2.354448, 2.390894, 40.254297]]
### 8
mean: [-0.912753, -0.252131, 0.031803, 0.726587, -0.422273, -0.109939, 1.281606]
std: [0.245855, 0.342415, 0.301739, 0.689267, 0.175346, 0.686987, 1.143147]
pca: [[-0.153788, 0.181536, 0.431008, 0.605390, 0.008510, 0.211914, -0.588344, 0.000000, 0.000000, 0.000000], [-0.214306, 0.026296, 0.583965, -0.160140, 0.533042, -0.531005, 0.143602, 0.000000, 0.000000, 0.000000], [0.188780, -0.162913, 0.571695, 0.118605, -0.233921, 0.434615, 0.594399, 0.000000, 0.000000, 0.000000], [0.431434, 0.335818, -0.251309, 0.610846, 0.291353, -0.229069, 0.356992, 0.000000, 0.000000, 0.000000], [-0.108419, 0.622858, -0.046705, -0.316361, 0.422271, 0.561204, 0.069030, 0.000000, 0.000000, 0.000000], [-0.429827, -0.559847, -0.266038, 0.289815, 0.485285, 0.295179, 0.156266, 0.000000, 0.000000, 0.000000], [0.715642, -0.354483, 0.101330, -0.191264, 0.402957, 0.172285, -0.351130, 0.000000, 0.000000, 0.000000]]
fourier: [[3.855660, 3.892197, 4.317414, 4.365009, 82.147779], [5.401990, 5.431756, 6.020088, 6.071504, 22.691822], [4.456671, 4.553184, 4.810366, 5.299499, 5.484057], [10.762305, 10.988815, 12.125418, 12.298831, 65.392856], [2.649113, 2.692013, 3.035483, 3.171800, 38.004611], [10.157686, 10.624601, 11.015270, 12.084352, 12.274687], [17.699619, 18.136024, 20.095228, 20.523602, 115.344566]]
### 10
mean: [-0.673550]
std: [0.930380]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.778684, 14.826759, 16.189957, 16.886057, 60.619501]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.107939, -0.478355, -0.140772, 0.599409, 0.336358], [0.140637, -0.117865, -0.064846, 0.361519, 0.279922], [-0.344666, -0.001146, -0.232475, 0.433553, 0.612703], [-0.466725, 0.248852, 0.334158, 0.459709, 0.658762], [0.025086, -0.070988, -0.317619, -0.380678, 0.544369], [-0.282522, -0.300344, -0.175365, -0.329895, -0.321696], [-0.23722, -0.19435, 0.549269, -0.066749, -0.01109]], "network.0.bias": [-0.016112, -0.466254, -0.226447, -0.039486, -0.526437, 0.021869, 0.806873], "network.2.weight": [[0.568321, 0.154595, 0.289857, 0.476907, 0.073627, -0.283828, -0.092102], [0.039195, -0.113929, -0.104455, -0.404671, 0.161657, 0.043999, -0.020902], [0.100008, 0.488103, -0.401104, -0.180154, 0.205945, 0.129893, -0.368555], [0.318469, 0.004995, 0.107395, 0.256758, -0.058441, -0.342122, 0.695055], [0.16926, 0.21083, 0.323709, 0.194474, 0.150887, 0.324592, 0.315945], [0.616363, -0.104941, 0.622787, 0.33999, 0.419356, -0.033253, 0.242779], [0.308878, -0.146536, 0.351667, 0.310058, 0.261699, 0.371072, 0.70395]], "network.2.bias": [-0.044693, -0.332514, 0.290168, -0.025073, 0.164169, -0.170617, 0.02694], "network.4.weight": [[0.0128, 0.135244, 0.010594, -0.69181, 0.085679, -0.208985, 0.151611], [-0.370559, -0.07976, 0.184319, 0.339754, -0.27047, 0.027677, -0.34588], [0.356972, -0.03464, 0.275712, -0.149045, -0.003644, -0.101649, -0.323565], [-0.322157, -0.108184, -0.036616, 0.1312, -0.098366, 0.33492, -0.145367], [-0.469304, 0.09255, -0.219589, 0.260739, -0.550731, -0.574348, 0.075497], [0.251385, 0.178483, -0.525916, 0.28208, 0.239279, 0.390733, 0.393106], [-0.046417, 0.015103, -0.169684, -0.183367, -0.306589, -0.289969, -0.325754]], "network.4.bias": [0.50957, -0.010158, -0.118121, -0.348285, -0.154283, 0.08526, 0.018788], "network.6.weight": [[0.084393, -0.122359, 0.165619, -0.177566, 0.19188, -0.156072, -0.302745], [-0.042899, -0.260943, -0.179939, -0.288727, -0.281734, 0.344667, -0.271229], [-0.01171, 0.161107, 0.436399, -0.150887, -0.490962, 0.231994, -0.37299], [-0.034907, -0.02189, -0.199097, -0.03856, 0.208091, 0.368815, -0.193541], [-0.586982, -0.087713, 0.296288, 0.121861, 0.265202, 0.201693, -0.199808], [0.134767, -0.277026, -0.328635, 0.069492, 0.020952, -0.349858, -0.182669], [-0.494691, -0.305809, -0.24633, -0.077161, -0.084461, -0.072579, 0.19314]], "network.6.bias": [-0.179782, -0.241683, -0.388243, -0.300374, 0.107452, -0.192064, -0.188992], "network.8.weight": [[0.130715, -0.052895, -0.140147, 0.015655, -0.303552, -0.181319, 0.337005], [0.315289, -0.191412, -0.302626, 0.150579, -0.353619, 0.036562, 0.125306], [0.220398, 0.172656, -0.2719, 0.387138, -0.053685, -0.210402, -0.155038], [-0.164549, 0.518709, 0.406388, -0.052159, 0.279915, -0.072673, -0.201483], [-0.268946, -0.099302, 0.299543, -0.175829, -0.176286, -0.325194, -0.191978], [-0.249479, -0.303911, -0.292197, -0.333393, -0.080087, -0.138848, 0.204889], [0.184593, 0.557983, -0.008948, 0.555616, 0.505191, -0.262843, -0.088281]], "network.8.bias": [-0.622302, 0.134838, -0.291436, 0.000863, -0.190028, 0.583925, 0.022132], "network.10.weight": [[-0.106097, 0.115855, -0.525622, -0.42198, 0.095986, 0.627875, -0.354189]], "network.10.bias": [0.022942]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6714878678321838, "train_acc": 0.575, "val_loss": 0.6748977899551392, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6232207715511322, "train_acc": 0.575, "val_loss": 0.59355229139328, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6144963502883911, "train_acc": 0.615, "val_loss": 0.5533891916275024, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.521614596247673, "train_acc": 0.895, "val_loss": 0.39310622215270996, "val_acc": 0.96}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4033813029527664, "train_acc": 0.855, "val_loss": 0.28930264711380005, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.32087303698062897, "train_acc": 0.9, "val_loss": 0.25182780623435974, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2660861313343048, "train_acc": 0.925, "val_loss": 0.24379009008407593, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.24698589742183685, "train_acc": 0.92, "val_loss": 0.17229339480400085, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.22039315849542618, "train_acc": 0.93, "val_loss": 0.23118041455745697, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.22308754920959473, "train_acc": 0.925, "val_loss": 0.1823304295539856, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.19433817267417908, "train_acc": 0.935, "val_loss": 0.13643378019332886, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.20711930096149445, "train_acc": 0.93, "val_loss": 0.12754833698272705, "val_acc": 0.96}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6748977899551392, "final_val_loss": 0.59355229139328, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5533891916275024, "final_val_loss": 0.12754833698272705, "initial_val_acc": 0.92, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 3}, "improvement": 0.43999999999999995, "first_improvement_epoch": 1}}
|
9,723
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.44, "improved_accuracy": 0.9, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3539, "learning_rate": 0.09183038605880911, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: 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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## Activation Signature
### 0
mean: [-2.248031, 1.955515, -3.503624, -2.297438, 0.292411, -3.077810, 1.688373]
std: [1.392973, 1.978350, 1.908153, 1.599460, 2.169894, 2.351012, 1.914824]
pca: [[0.308861, 0.090895, 0.195615, -0.508577, 0.520650, -0.501047, -0.278034, 0.000000, 0.000000, 0.000000], [-0.239742, 0.102339, 0.899395, 0.178038, -0.010752, -0.123116, 0.275987, 0.000000, 0.000000, 0.000000], [0.479618, -0.022189, 0.331968, -0.415843, -0.493369, 0.446491, -0.208757, 0.000000, 0.000000, 0.000000], [0.449664, -0.006836, -0.098239, -0.119168, 0.211796, 0.108686, 0.846897, 0.000000, 0.000000, 0.000000], [-0.032947, 0.773731, -0.002070, 0.073966, 0.368265, 0.494334, -0.121631, 0.000000, 0.000000, 0.000000], [0.591817, -0.190269, 0.124176, 0.701030, 0.202236, 0.019288, -0.255768, 0.000000, 0.000000, 0.000000], [-0.252123, -0.588102, 0.132461, -0.160039, 0.513827, 0.527152, -0.074187, 0.000000, 0.000000, 0.000000]]
fourier: [[23.375880, 23.407479, 23.647420, 27.746716, 202.322766], [27.806275, 35.210392, 35.339649, 45.420226, 175.996287], [31.139162, 32.045183, 32.346032, 36.087986, 315.326216], [25.068542, 25.451456, 27.011723, 30.957200, 206.769425], [31.763141, 34.710838, 34.717296, 35.246755, 38.968437], [36.773766, 39.452109, 42.537755, 42.697886, 277.002837], [31.560278, 31.715284, 32.945152, 35.248313, 151.953624]]
### 2
mean: [-0.992618, 1.032191, 1.888121, -0.266419, -2.051520, 0.090041, 1.227566]
std: [0.824779, 0.781197, 2.542987, 1.137060, 1.110547, 2.284682, 0.710625]
pca: [[0.127146, 0.404920, 0.531148, -0.262342, 0.425736, -0.319610, 0.430731, 0.000000, 0.000000, 0.000000], [-0.127347, -0.369610, -0.501125, -0.191737, 0.304148, 0.117760, 0.672984, 0.000000, 0.000000, 0.000000], [0.684696, -0.252686, -0.168875, -0.211398, 0.479080, -0.057911, -0.401574, 0.000000, 0.000000, 0.000000], [0.303331, -0.028541, 0.353531, 0.245669, 0.056236, 0.822428, 0.205640, 0.000000, 0.000000, 0.000000], [-0.063009, 0.714328, -0.491491, 0.277774, 0.355376, 0.176518, -0.097943, 0.000000, 0.000000, 0.000000], [-0.611078, -0.272560, 0.264158, 0.077652, 0.590959, 0.122535, -0.335020, 0.000000, 0.000000, 0.000000], [0.171497, -0.224078, 0.043694, 0.840347, 0.134305, -0.397577, 0.190213, 0.000000, 0.000000, 0.000000]]
fourier: [[12.963944, 13.637754, 14.243602, 16.674347, 89.335619], [12.236209, 12.688988, 13.781773, 15.766256, 92.897177], [38.214079, 38.676506, 39.604931, 47.886401, 169.930859], [16.539256, 17.083343, 18.762137, 19.862559, 23.977725], [19.091033, 19.143980, 19.321585, 21.578529, 184.636818], [32.701523, 33.766331, 34.056274, 34.230858, 45.622244], [11.047497, 11.336044, 11.932646, 12.063275, 110.480945]]
### 4
mean: [0.043519, 1.970555, 1.889771, -1.380439, 1.340387, 1.123849, -1.029484]
std: [1.529974, 2.351485, 1.840229, 0.654383, 1.717967, 1.836489, 0.736120]
pca: [[-0.345111, -0.256772, 0.799421, 0.145759, 0.160258, -0.186532, -0.306872, 0.000000, 0.000000, 0.000000], [0.555884, -0.240980, -0.055176, 0.719103, -0.172636, -0.054223, -0.282887, 0.000000, 0.000000, 0.000000], [0.431045, 0.025795, 0.513102, -0.132141, -0.364364, -0.082036, 0.627143, 0.000000, 0.000000, 0.000000], [-0.086539, 0.806311, 0.125436, 0.103783, -0.428116, -0.164739, -0.324725, 0.000000, 0.000000, 0.000000], [0.406009, 0.031918, 0.230412, -0.403457, 0.038424, 0.645670, -0.447108, 0.000000, 0.000000, 0.000000], [0.431891, 0.337624, 0.062720, -0.080769, 0.718858, -0.414754, -0.015670, 0.000000, 0.000000, 0.000000], [-0.165015, 0.331941, 0.147817, 0.513919, 0.332020, 0.582655, 0.356228, 0.000000, 0.000000, 0.000000]]
fourier: [[21.521403, 21.872816, 22.543359, 24.388404, 32.032186], [34.366802, 34.670355, 36.637882, 44.980349, 177.349945], [26.587316, 29.386875, 29.930907, 30.406146, 170.079365], [10.089221, 10.358069, 10.471618, 11.143506, 124.239541], [25.061187, 26.471306, 27.235568, 29.619203, 120.634793], [26.319925, 26.993732, 27.553058, 33.027027, 101.146404], [11.237695, 11.485508, 11.955659, 13.514912, 92.653521]]
### 6
mean: [2.323826, 3.341704, -1.629242, -2.162156, 2.863720, -0.765707, -1.263281]
std: [2.677539, 3.577640, 1.336616, 1.664118, 2.927606, 0.356677, 0.762285]
pca: [[0.460787, 0.277456, -0.403585, 0.117486, 0.500037, -0.346036, -0.405254, 0.000000, 0.000000, 0.000000], [0.615541, 0.507091, 0.487646, -0.039452, -0.086452, 0.174090, 0.294672, 0.000000, 0.000000, 0.000000], [-0.229900, -0.103501, 0.525410, 0.260724, 0.714528, 0.259697, -0.120030, 0.000000, 0.000000, 0.000000], [-0.285638, 0.543162, -0.093326, 0.432529, -0.311506, 0.373057, -0.437479, 0.000000, 0.000000, 0.000000], [0.503545, -0.536995, -0.186046, 0.236331, -0.101314, 0.576394, -0.158489, 0.000000, 0.000000, 0.000000], [-0.061001, 0.077661, -0.341530, 0.609496, 0.143615, -0.018523, 0.693651, 0.000000, 0.000000, 0.000000], [-0.130622, 0.256408, -0.404102, -0.549768, 0.322510, 0.557462, 0.192022, 0.000000, 0.000000, 0.000000]]
fourier: [[38.849699, 39.941487, 41.247332, 50.075677, 209.144374], [52.208341, 52.755569, 54.289942, 68.360207, 300.753340], [19.192124, 20.247480, 20.902100, 24.535097, 146.631809], [24.065380, 25.217695, 25.330723, 32.374500, 194.594023], [42.700678, 43.573288, 44.802447, 56.105715, 257.734792], [5.068858, 5.225818, 5.694768, 7.361295, 68.913587], [10.797825, 11.158388, 11.824516, 15.430869, 113.695326]]
### 8
mean: [4.526398, 3.269875, -0.605124, -1.234903, -0.889958, -0.969098, -4.829273]
std: [4.311467, 3.046294, 0.420623, 0.775923, 0.623405, 0.794097, 4.957444]
pca: [[-0.585429, 0.070319, 0.293473, 0.216835, 0.694749, 0.108346, 0.157383, 0.000000, 0.000000, 0.000000], [-0.413611, 0.501626, 0.145080, 0.414785, -0.612732, 0.010373, 0.093028, 0.000000, 0.000000, 0.000000], [0.057035, -0.212615, 0.722438, -0.354164, -0.210307, -0.157653, 0.484881, 0.000000, 0.000000, 0.000000], [0.105325, -0.253860, -0.354974, 0.280365, -0.055462, 0.433899, 0.726985, 0.000000, 0.000000, 0.000000], [0.084514, 0.496861, 0.077064, -0.496825, 0.039752, 0.700730, -0.024706, 0.000000, 0.000000, 0.000000], [0.107689, 0.557670, -0.309332, -0.226122, 0.216696, -0.531182, 0.448864, 0.000000, 0.000000, 0.000000], [0.673137, 0.275519, 0.378521, 0.528141, 0.214569, 0.043070, -0.029505, 0.000000, 0.000000, 0.000000]]
fourier: [[62.310154, 64.019181, 66.508222, 85.498204, 407.375800], [43.873512, 45.069899, 47.175897, 60.572380, 294.288761], [6.010440, 6.300387, 6.428350, 8.350142, 54.461113], [11.126734, 11.367909, 12.123037, 15.496894, 111.141289], [9.167587, 9.366143, 9.463915, 12.140864, 80.096209], [11.653843, 11.952150, 12.039488, 15.529993, 87.218819], [71.762768, 73.875848, 76.165883, 98.115970, 434.634576]]
### 10
mean: [-2.010447]
std: [2.669642]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.341296, 39.709829, 41.111891, 52.308379, 180.940208]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.286101,
-0.021669,
-0.026138,
0.110926,
0.140705,
-0.328528
],
[
-0.183658,
0.161228,
-0.016498,
-0.237014,
-0.255825,
0.037384,
-0.308862
],
[
-0.300974,
0.133096,
-0.110065,
-0.342274,
-0.184408,
0.360137,
-0.171435
],
[
-0.722098,
-0.623759,
0.363988,
0.27045,
-0.43589,
0.210506,
0.154329
]
],
"network.8.bias": [
-0.214137,
-0.105922,
-0.146385,
-0.365093,
-0.232885,
-0.121703,
0.573721
],
"network.10.weight": [
[
-0.346946,
-0.368068,
-0.293071,
-0.3637,
-0.149405,
-0.170738,
0.571583
]
],
"network.10.bias": [
0.71708
]
}
## Activation Signature
### 0
mean: [-2.248031, 1.955515, -3.503624, -2.297438, 0.292411, -3.077810, 1.688373]
std: [1.392973, 1.978350, 1.908153, 1.599460, 2.169894, 2.351012, 1.914824]
pca: [[0.308861, 0.090895, 0.195615, -0.508577, 0.520650, -0.501047, -0.278034, 0.000000, 0.000000, 0.000000], [-0.239742, 0.102339, 0.899395, 0.178038, -0.010752, -0.123116, 0.275987, 0.000000, 0.000000, 0.000000], [0.479618, -0.022189, 0.331968, -0.415843, -0.493369, 0.446491, -0.208757, 0.000000, 0.000000, 0.000000], [0.449664, -0.006836, -0.098239, -0.119168, 0.211796, 0.108686, 0.846897, 0.000000, 0.000000, 0.000000], [-0.032947, 0.773731, -0.002070, 0.073966, 0.368265, 0.494334, -0.121631, 0.000000, 0.000000, 0.000000], [0.591817, -0.190269, 0.124176, 0.701030, 0.202236, 0.019288, -0.255768, 0.000000, 0.000000, 0.000000], [-0.252123, -0.588102, 0.132461, -0.160039, 0.513827, 0.527152, -0.074187, 0.000000, 0.000000, 0.000000]]
fourier: [[23.375880, 23.407479, 23.647420, 27.746716, 202.322766], [27.806275, 35.210392, 35.339649, 45.420226, 175.996287], [31.139162, 32.045183, 32.346032, 36.087986, 315.326216], [25.068542, 25.451456, 27.011723, 30.957200, 206.769425], [31.763141, 34.710838, 34.717296, 35.246755, 38.968437], [36.773766, 39.452109, 42.537755, 42.697886, 277.002837], [31.560278, 31.715284, 32.945152, 35.248313, 151.953624]]
### 2
mean: [-0.992618, 1.032191, 1.888121, -0.266419, -2.051520, 0.090041, 1.227566]
std: [0.824779, 0.781197, 2.542987, 1.137060, 1.110547, 2.284682, 0.710625]
pca: [[0.127146, 0.404920, 0.531148, -0.262342, 0.425736, -0.319610, 0.430731, 0.000000, 0.000000, 0.000000], [-0.127347, -0.369610, -0.501125, -0.191737, 0.304148, 0.117760, 0.672984, 0.000000, 0.000000, 0.000000], [0.684696, -0.252686, -0.168875, -0.211398, 0.479080, -0.057911, -0.401574, 0.000000, 0.000000, 0.000000], [0.303331, -0.028541, 0.353531, 0.245669, 0.056236, 0.822428, 0.205640, 0.000000, 0.000000, 0.000000], [-0.063009, 0.714328, -0.491491, 0.277774, 0.355376, 0.176518, -0.097943, 0.000000, 0.000000, 0.000000], [-0.611078, -0.272560, 0.264158, 0.077652, 0.590959, 0.122535, -0.335020, 0.000000, 0.000000, 0.000000], [0.171497, -0.224078, 0.043694, 0.840347, 0.134305, -0.397577, 0.190213, 0.000000, 0.000000, 0.000000]]
fourier: [[12.963944, 13.637754, 14.243602, 16.674347, 89.335619], [12.236209, 12.688988, 13.781773, 15.766256, 92.897177], [38.214079, 38.676506, 39.604931, 47.886401, 169.930859], [16.539256, 17.083343, 18.762137, 19.862559, 23.977725], [19.091033, 19.143980, 19.321585, 21.578529, 184.636818], [32.701523, 33.766331, 34.056274, 34.230858, 45.622244], [11.047497, 11.336044, 11.932646, 12.063275, 110.480945]]
### 4
mean: [0.043519, 1.970555, 1.889771, -1.380439, 1.340387, 1.123849, -1.029484]
std: [1.529974, 2.351485, 1.840229, 0.654383, 1.717967, 1.836489, 0.736120]
pca: [[-0.345111, -0.256772, 0.799421, 0.145759, 0.160258, -0.186532, -0.306872, 0.000000, 0.000000, 0.000000], [0.555884, -0.240980, -0.055176, 0.719103, -0.172636, -0.054223, -0.282887, 0.000000, 0.000000, 0.000000], [0.431045, 0.025795, 0.513102, -0.132141, -0.364364, -0.082036, 0.627143, 0.000000, 0.000000, 0.000000], [-0.086539, 0.806311, 0.125436, 0.103783, -0.428116, -0.164739, -0.324725, 0.000000, 0.000000, 0.000000], [0.406009, 0.031918, 0.230412, -0.403457, 0.038424, 0.645670, -0.447108, 0.000000, 0.000000, 0.000000], [0.431891, 0.337624, 0.062720, -0.080769, 0.718858, -0.414754, -0.015670, 0.000000, 0.000000, 0.000000], [-0.165015, 0.331941, 0.147817, 0.513919, 0.332020, 0.582655, 0.356228, 0.000000, 0.000000, 0.000000]]
fourier: [[21.521403, 21.872816, 22.543359, 24.388404, 32.032186], [34.366802, 34.670355, 36.637882, 44.980349, 177.349945], [26.587316, 29.386875, 29.930907, 30.406146, 170.079365], [10.089221, 10.358069, 10.471618, 11.143506, 124.239541], [25.061187, 26.471306, 27.235568, 29.619203, 120.634793], [26.319925, 26.993732, 27.553058, 33.027027, 101.146404], [11.237695, 11.485508, 11.955659, 13.514912, 92.653521]]
### 6
mean: [2.323826, 3.341704, -1.629242, -2.162156, 2.863720, -0.765707, -1.263281]
std: [2.677539, 3.577640, 1.336616, 1.664118, 2.927606, 0.356677, 0.762285]
pca: [[0.460787, 0.277456, -0.403585, 0.117486, 0.500037, -0.346036, -0.405254, 0.000000, 0.000000, 0.000000], [0.615541, 0.507091, 0.487646, -0.039452, -0.086452, 0.174090, 0.294672, 0.000000, 0.000000, 0.000000], [-0.229900, -0.103501, 0.525410, 0.260724, 0.714528, 0.259697, -0.120030, 0.000000, 0.000000, 0.000000], [-0.285638, 0.543162, -0.093326, 0.432529, -0.311506, 0.373057, -0.437479, 0.000000, 0.000000, 0.000000], [0.503545, -0.536995, -0.186046, 0.236331, -0.101314, 0.576394, -0.158489, 0.000000, 0.000000, 0.000000], [-0.061001, 0.077661, -0.341530, 0.609496, 0.143615, -0.018523, 0.693651, 0.000000, 0.000000, 0.000000], [-0.130622, 0.256408, -0.404102, -0.549768, 0.322510, 0.557462, 0.192022, 0.000000, 0.000000, 0.000000]]
fourier: [[38.849699, 39.941487, 41.247332, 50.075677, 209.144374], [52.208341, 52.755569, 54.289942, 68.360207, 300.753340], [19.192124, 20.247480, 20.902100, 24.535097, 146.631809], [24.065380, 25.217695, 25.330723, 32.374500, 194.594023], [42.700678, 43.573288, 44.802447, 56.105715, 257.734792], [5.068858, 5.225818, 5.694768, 7.361295, 68.913587], [10.797825, 11.158388, 11.824516, 15.430869, 113.695326]]
### 8
mean: [4.526398, 3.269875, -0.605124, -1.234903, -0.889958, -0.969098, -4.829273]
std: [4.311467, 3.046294, 0.420623, 0.775923, 0.623405, 0.794097, 4.957444]
pca: [[-0.585429, 0.070319, 0.293473, 0.216835, 0.694749, 0.108346, 0.157383, 0.000000, 0.000000, 0.000000], [-0.413611, 0.501626, 0.145080, 0.414785, -0.612732, 0.010373, 0.093028, 0.000000, 0.000000, 0.000000], [0.057035, -0.212615, 0.722438, -0.354164, -0.210307, -0.157653, 0.484881, 0.000000, 0.000000, 0.000000], [0.105325, -0.253860, -0.354974, 0.280365, -0.055462, 0.433899, 0.726985, 0.000000, 0.000000, 0.000000], [0.084514, 0.496861, 0.077064, -0.496825, 0.039752, 0.700730, -0.024706, 0.000000, 0.000000, 0.000000], [0.107689, 0.557670, -0.309332, -0.226122, 0.216696, -0.531182, 0.448864, 0.000000, 0.000000, 0.000000], [0.673137, 0.275519, 0.378521, 0.528141, 0.214569, 0.043070, -0.029505, 0.000000, 0.000000, 0.000000]]
fourier: [[62.310154, 64.019181, 66.508222, 85.498204, 407.375800], [43.873512, 45.069899, 47.175897, 60.572380, 294.288761], [6.010440, 6.300387, 6.428350, 8.350142, 54.461113], [11.126734, 11.367909, 12.123037, 15.496894, 111.141289], [9.167587, 9.366143, 9.463915, 12.140864, 80.096209], [11.653843, 11.952150, 12.039488, 15.529993, 87.218819], [71.762768, 73.875848, 76.165883, 98.115970, 434.634576]]
### 10
mean: [-2.010447]
std: [2.669642]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.341296, 39.709829, 41.111891, 52.308379, 180.940208]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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41.111890919718036, 52.3083790502052, 180.94020813703537]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.131832, -0.594828, -0.387758, -0.000825, -0.074024], [0.019415, 0.070639, -0.249443, 0.164341, 1.04726], [0.05747, -0.516582, -0.487699, -0.476605, 0.094415], [-0.062211, -0.249528, -0.416671, -0.319204, -0.337697], [-0.801277, -0.374251, 0.228199, 0.595678, 0.12428], [-0.241989, 0.416204, -0.906269, -0.766182, -0.058174], [0.854235, 0.275835, -0.108663, -0.023474, 0.049471]], "network.0.bias": [-0.42513, 0.679651, -0.709458, 0.206064, 0.064165, 0.072796, 0.339001], "network.2.weight": [[-0.563776, 0.28349, 0.450488, 0.355842, -0.528282, -0.27461, -0.483191], [0.314968, -0.277531, 0.187547, -0.09905, 0.47712, -0.248418, 0.45404], [-0.015717, 0.80499, 0.24148, 0.324444, 0.915289, 0.500218, -0.609021], [-0.141763, 0.47542, 0.280601, 0.300718, 0.138558, 0.530784, -0.346917], [0.048262, -0.26433, -0.158389, 0.039618, -0.538663, -0.364599, -0.456042], [0.72659, -0.654205, 0.005287, 0.239709, -0.367012, -0.539248, 0.92854], [-0.451632, 0.237114, -0.07683, 0.350497, 0.367032, 0.844825, -0.0223]], "network.2.bias": [-0.214529, 0.345856, 0.401552, -0.773741, -0.213845, 0.180714, 0.409703], "network.4.weight": [[0.027351, 0.590517, -0.475261, -0.340109, 0.078335, 0.16628, 0.152523], [0.054598, 0.404526, 0.743695, 0.142426, -0.265901, -0.629728, 0.263228], [0.268042, 0.598273, 0.410966, -0.197235, -0.162789, -0.743093, 0.684311], [-0.328877, -0.254461, -0.211915, 0.004219, -0.061671, -0.178716, -0.330741], [0.372512, 0.37241, 0.368725, -0.045136, -0.142913, -0.614575, 0.629797], [0.416384, 0.131105, 0.475498, -0.024881, -0.205826, -0.650766, 0.243113], [-0.219224, 0.017745, -0.251645, 0.11317, -0.22092, -0.011407, -0.364816]], "network.4.bias": [0.228876, 0.093218, 0.202729, -0.095002, -0.104468, 0.197699, -0.072998], "network.6.weight": [[-0.474175, 0.470364, 0.445843, 0.054006, 0.401781, 0.143477, 0.260855], [-0.719722, 0.576477, 0.385026, -0.160134, 0.341568, 0.687206, 0.36999], [0.220335, -0.370054, -0.294317, 0.317262, -0.166413, 0.179063, -0.245412], [0.065092, -0.269865, -0.190899, -0.26893, -0.333318, -0.236827, 0.345104], [-0.210202, 0.509581, 0.587232, -0.249732, 0.232427, 0.396447, 0.313064], [0.059045, -0.068699, 0.111448, 0.262161, -0.15466, -0.107327, -0.308527], [0.003527, -0.065612, -0.182573, 0.065777, 0.199827, -0.463344, -0.300217]], "network.6.bias": [-0.221495, 0.117014, -0.324503, -0.339541, -0.300805, -0.474948, -0.382086], "network.8.weight": [[0.41371, 0.762699, -0.1215, -0.293037, 0.308694, -0.194898, -0.203345], [0.06733, 0.769047, -0.131176, -0.370111, 0.142251, -0.090688, 0.112536], [0.157439, -0.117917, 0.22715, -0.236067, -0.14727, 0.365355, -0.07271], [-0.065774, -0.286101, -0.021669, -0.026138, 0.110926, 0.140705, -0.328528], [-0.183658, 0.161228, -0.016498, -0.237014, -0.255825, 0.037384, -0.308862], [-0.300974, 0.133096, -0.110065, -0.342274, -0.184408, 0.360137, -0.171435], [-0.722098, -0.623759, 0.363988, 0.27045, -0.43589, 0.210506, 0.154329]], "network.8.bias": [-0.214137, -0.105922, -0.146385, -0.365093, -0.232885, -0.121703, 0.573721], "network.10.weight": [[-0.346946, -0.368068, -0.293071, -0.3637, -0.149405, -0.170738, 0.571583]], "network.10.bias": [0.71708]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7178657650947571, "train_acc": 0.41, "val_loss": 0.663013219833374, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5577891916036606, "train_acc": 0.59, "val_loss": 0.6117157936096191, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.7775320410728455, "train_acc": 0.515, "val_loss": 0.49355292320251465, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.44218114018440247, "train_acc": 0.925, "val_loss": 0.5780843496322632, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5985737144947052, "train_acc": 0.725, "val_loss": 0.5998674035072327, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5962493121623993, "train_acc": 0.705, "val_loss": 0.4620242714881897, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.41741760075092316, "train_acc": 0.865, "val_loss": 0.5433434844017029, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3371969163417816, "train_acc": 0.875, "val_loss": 0.3222768306732178, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.22738251090049744, "train_acc": 0.935, "val_loss": 0.34569260478019714, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.19097770005464554, "train_acc": 0.94, "val_loss": 0.3487585484981537, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.17513293772935867, "train_acc": 0.95, "val_loss": 0.39590680599212646, "val_acc": 0.88}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.663013219833374, "final_val_loss": 0.6117157936096191, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.49355292320251465, "final_val_loss": 0.39590680599212646, "initial_val_acc": 0.86, "final_val_acc": 0.88, "best_val_acc": 0.9, "best_epoch": 7}, "improvement": 0.46, "first_improvement_epoch": 1}}
|
9,724
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.56, "improved_accuracy": 0.96, "improvement": 0.3999999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3692, "learning_rate": 0.040123271472812555, "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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.10.bias": [
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}
## Activation Signature
### 0
mean: [2.192753, 1.063434, 1.779142, -0.796683, 2.379207, 0.136031, 1.790527, 2.093809]
std: [2.033344, 1.466259, 2.020138, 2.032461, 1.881634, 0.656264, 2.066974, 2.519948]
pca: [[0.465576, 0.185824, -0.022466, 0.134875, -0.486288, 0.283847, 0.633969, -0.105128, 0.000000, 0.000000], [0.274422, -0.256358, -0.261996, -0.451146, 0.022719, 0.650103, -0.262263, 0.308005, 0.000000, 0.000000], [0.443924, 0.257685, -0.161097, -0.105241, -0.379139, -0.294687, -0.598820, -0.332159, 0.000000, 0.000000], [0.089952, 0.578036, 0.683306, -0.192362, 0.241083, 0.285861, -0.116751, -0.020117, 0.000000, 0.000000], [0.232734, 0.449133, -0.540217, 0.333852, 0.577779, 0.062793, 0.030028, 0.046361, 0.000000, 0.000000], [0.013385, 0.189048, 0.086907, 0.352390, -0.318765, -0.110086, -0.195572, 0.824847, 0.000000, 0.000000], [0.342976, -0.456283, 0.323443, 0.634126, 0.155524, 0.222281, -0.250943, -0.175708, 0.000000, 0.000000], [0.575148, -0.231450, 0.184367, -0.304048, 0.318612, -0.512611, 0.234443, 0.264485, 0.000000, 0.000000]]
fourier: [[31.395289, 32.919617, 37.410503, 41.739413, 197.347729], [23.060372, 24.174980, 26.700237, 29.484436, 95.709060], [32.777446, 36.398486, 38.496639, 42.561191, 160.122799], [33.415781, 34.191768, 36.054033, 36.646575, 71.701487], [27.327967, 27.920331, 34.946817, 35.890468, 214.128661], [10.100543, 10.107217, 10.215449, 12.242823, 12.912475], [34.840408, 38.709193, 42.912121, 47.158575, 161.147399], [42.987038, 43.052461, 45.244075, 47.724235, 188.442812]]
### 2
mean: [-1.788086, 0.214578, 5.051514, -0.440230, -0.484925, -1.214138, -0.686848, -1.113079]
std: [2.587058, 2.195797, 4.768349, 0.768061, 0.321058, 2.498579, 0.460739, 1.767811]
pca: [[-0.403694, -0.026974, -0.393520, -0.001070, 0.708666, -0.382136, 0.182170, -0.004719, 0.000000, 0.000000], [0.227354, 0.898114, -0.189225, 0.082327, 0.095426, 0.164089, 0.205265, 0.144748, 0.000000, 0.000000], [0.738298, -0.398775, -0.375000, 0.089934, 0.160840, 0.077849, 0.308773, 0.141104, 0.000000, 0.000000], [-0.106787, 0.016354, -0.400827, 0.646651, -0.484638, -0.408960, -0.067466, 0.053253, 0.000000, 0.000000], [0.024333, -0.049424, 0.131483, 0.625898, 0.433233, 0.417446, -0.475370, -0.000387, 0.000000, 0.000000], [-0.388493, -0.120437, -0.408040, 0.027024, -0.182266, 0.662579, 0.331327, -0.292117, 0.000000, 0.000000], [-0.042035, -0.030725, 0.564888, 0.417514, 0.063070, -0.091124, 0.684589, -0.151421, 0.000000, 0.000000], [-0.274895, -0.124427, 0.071871, 0.013366, -0.055252, 0.179342, 0.142728, 0.920879, 0.000000, 0.000000]]
fourier: [[42.048998, 42.866353, 51.130639, 52.365407, 160.927773], [32.453546, 33.422600, 34.301931, 45.248452, 45.690050], [82.733065, 85.111338, 85.543241, 88.314613, 454.636269], [12.146927, 13.527818, 13.987662, 17.559010, 39.620726], [4.804648, 5.659061, 5.708721, 6.988574, 43.643219], [40.976764, 41.459784, 48.961746, 51.627516, 109.272447], [7.387248, 7.940688, 8.644561, 9.689645, 61.816284], [30.478288, 30.478808, 33.679683, 35.697462, 100.177077]]
### 4
mean: [4.139562, -0.141555, -0.264562, 1.749248, -0.850298, -0.781994, -0.608721, 1.295342]
std: [4.595391, 0.857744, 1.312969, 2.206509, 1.678307, 1.657274, 1.372254, 2.018631]
pca: [[0.732020, 0.335846, -0.544830, 0.002500, -0.022200, -0.192617, 0.113281, 0.063889, 0.000000, 0.000000], [-0.124852, 0.459578, -0.089350, -0.194894, -0.084266, 0.580133, -0.312736, 0.534579, 0.000000, 0.000000], [-0.208083, 0.099486, -0.305147, 0.687492, 0.190054, -0.130446, -0.564952, -0.093471, 0.000000, 0.000000], [0.347717, 0.264095, 0.671292, 0.267130, 0.474815, -0.078411, 0.019829, 0.235295, 0.000000, 0.000000], [-0.263469, 0.389796, -0.199726, -0.240966, 0.632874, 0.154433, 0.232021, -0.449972, 0.000000, 0.000000], [-0.264211, -0.038551, -0.217317, 0.462986, 0.041024, 0.091748, 0.694885, 0.417323, 0.000000, 0.000000], [-0.203325, 0.657393, 0.237158, 0.149066, -0.548437, -0.228471, 0.156188, -0.265803, 0.000000, 0.000000], [0.322162, -0.103727, 0.089819, 0.351234, -0.166853, 0.720218, 0.093313, -0.445823, 0.000000, 0.000000]]
fourier: [[74.706556, 85.076786, 87.196264, 90.100330, 372.560540], [12.928972, 15.319179, 16.122185, 16.588475, 19.795463], [20.123041, 23.810542, 26.230390, 26.583675, 27.315289], [35.242454, 43.471343, 43.684641, 45.279805, 157.432290], [28.513908, 31.938350, 33.452591, 36.878743, 76.526800], [25.496199, 32.489706, 32.891209, 33.493855, 70.379491], [23.356105, 25.741854, 27.206863, 30.661268, 54.784853], [31.867486, 38.440900, 39.774781, 41.912466, 116.580748]]
### 6
mean: [-0.420903, 2.504756, -1.025670, -1.361796, 4.010717, -2.005523, 2.603681, -0.121715]
std: [1.132885, 3.255801, 0.828580, 2.331265, 5.093856, 3.168807, 3.815265, 0.212061]
pca: [[-0.135637, -0.163144, 0.832990, -0.088900, -0.020658, -0.242819, -0.393351, -0.197731, 0.000000, 0.000000], [0.394885, -0.086979, 0.029574, -0.225580, 0.433667, -0.360162, -0.124666, 0.671874, 0.000000, 0.000000], [-0.051786, 0.902052, 0.095443, 0.177383, 0.236494, 0.083611, -0.279807, 0.042824, 0.000000, 0.000000], [-0.282694, -0.002385, 0.435448, 0.098284, 0.344577, 0.299523, 0.673365, 0.242766, 0.000000, 0.000000], [0.617710, -0.175407, 0.135748, 0.687804, 0.176459, 0.168994, -0.026770, -0.189079, 0.000000, 0.000000], [-0.384037, -0.170380, -0.279898, 0.169335, 0.672995, -0.356983, -0.059894, -0.364036, 0.000000, 0.000000], [0.462388, 0.211852, 0.080353, -0.542015, 0.194790, -0.069628, 0.344057, -0.529068, 0.000000, 0.000000], [-0.014779, -0.217799, -0.057453, -0.323353, 0.338881, 0.744160, -0.418738, -0.023065, 0.000000, 0.000000]]
fourier: [[16.002760, 23.394095, 23.397819, 24.046633, 37.881276], [51.011307, 62.071564, 63.459072, 65.969179, 225.428042], [13.599497, 13.828044, 15.552334, 16.316572, 92.310315], [35.547273, 45.435278, 46.104373, 47.870075, 122.561627], [79.414814, 96.256198, 99.009244, 103.188031, 360.964593], [49.883367, 62.190794, 63.004237, 63.854272, 180.497099], [59.902398, 75.332299, 75.851837, 77.340737, 234.331307], [3.757166, 3.911905, 4.368920, 4.624069, 10.954306]]
### 8
mean: [-1.152118, 3.067712, 0.114444, -3.538720, 0.326162, -3.046278, 5.519112, -1.002688]
std: [2.106049, 4.306874, 0.282035, 4.686911, 0.209049, 3.830918, 6.644322, 2.203635]
pca: [[-0.201595, 0.368658, 0.081965, 0.145314, 0.440934, 0.176553, -0.040806, 0.753895, 0.000000, 0.000000], [0.412968, -0.429148, -0.324533, -0.272808, 0.444250, 0.514798, -0.050420, 0.025033, 0.000000, 0.000000], [-0.024928, 0.257112, 0.680302, -0.117548, 0.376806, 0.300255, 0.015176, -0.473579, 0.000000, 0.000000], [-0.449689, -0.227892, -0.103021, 0.582931, -0.099023, 0.474067, -0.357218, -0.182409, 0.000000, 0.000000], [0.003306, 0.506620, -0.186811, -0.455450, -0.458239, 0.422587, -0.335084, 0.012155, 0.000000, 0.000000], [-0.367633, -0.009262, -0.132953, -0.110016, -0.138981, 0.347290, 0.833597, -0.013041, 0.000000, 0.000000], [0.637457, 0.371228, -0.082726, 0.575197, -0.129550, 0.189993, 0.246153, -0.068349, 0.000000, 0.000000], [-0.210852, 0.409051, -0.595917, 0.021059, 0.458637, -0.231588, -0.014182, -0.410459, 0.000000, 0.000000]]
fourier: [[32.879635, 41.487796, 41.682994, 42.940106, 103.690600], [67.037899, 82.673404, 84.419486, 88.041613, 276.094151], [4.814554, 5.445511, 5.467422, 6.144549, 10.299929], [73.179318, 85.829870, 90.380226, 95.295001, 318.484751], [3.142670, 3.155665, 3.701842, 3.789273, 29.354564], [59.711525, 71.364392, 74.135147, 78.141481, 274.165076], [103.716239, 121.065688, 127.700454, 135.263494, 496.720024], [34.326158, 43.552295, 44.333684, 44.989563, 90.241901]]
### 10
mean: [-4.914784]
std: [6.467603]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[101.887754, 114.707822, 123.029732, 132.538094, 442.330629]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.453894
],
[
0.478242,
-0.347731,
-0.5703,
0.698656,
-0.503012,
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0.170381,
0.599432
],
[
-0.357482,
0.150577,
0.269084,
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0.671742,
0.415111,
0.164293,
-0.111961
],
[
0.541373,
-0.195405,
-0.875015,
0.269093,
-0.445913,
-0.285451,
-0.333661,
0.148252
],
[
0.076424,
-0.059808,
0.250483,
-0.159426,
0.418801,
-0.179514,
-0.049844,
-0.010065
]
],
"network.6.bias": [
-0.040649,
0.083873,
0.006084,
0.17447,
0.154445,
0.2778,
0.007741,
-0.213184
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"network.8.weight": [
[
0.148905,
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[
-0.409893,
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],
[
0.174697,
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[
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[
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0.141367,
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-0.094751,
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"network.10.weight": [
[
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0.078124,
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]
],
"network.10.bias": [
0.512812
]
}
## Activation Signature
### 0
mean: [2.192753, 1.063434, 1.779142, -0.796683, 2.379207, 0.136031, 1.790527, 2.093809]
std: [2.033344, 1.466259, 2.020138, 2.032461, 1.881634, 0.656264, 2.066974, 2.519948]
pca: [[0.465576, 0.185824, -0.022466, 0.134875, -0.486288, 0.283847, 0.633969, -0.105128, 0.000000, 0.000000], [0.274422, -0.256358, -0.261996, -0.451146, 0.022719, 0.650103, -0.262263, 0.308005, 0.000000, 0.000000], [0.443924, 0.257685, -0.161097, -0.105241, -0.379139, -0.294687, -0.598820, -0.332159, 0.000000, 0.000000], [0.089952, 0.578036, 0.683306, -0.192362, 0.241083, 0.285861, -0.116751, -0.020117, 0.000000, 0.000000], [0.232734, 0.449133, -0.540217, 0.333852, 0.577779, 0.062793, 0.030028, 0.046361, 0.000000, 0.000000], [0.013385, 0.189048, 0.086907, 0.352390, -0.318765, -0.110086, -0.195572, 0.824847, 0.000000, 0.000000], [0.342976, -0.456283, 0.323443, 0.634126, 0.155524, 0.222281, -0.250943, -0.175708, 0.000000, 0.000000], [0.575148, -0.231450, 0.184367, -0.304048, 0.318612, -0.512611, 0.234443, 0.264485, 0.000000, 0.000000]]
fourier: [[31.395289, 32.919617, 37.410503, 41.739413, 197.347729], [23.060372, 24.174980, 26.700237, 29.484436, 95.709060], [32.777446, 36.398486, 38.496639, 42.561191, 160.122799], [33.415781, 34.191768, 36.054033, 36.646575, 71.701487], [27.327967, 27.920331, 34.946817, 35.890468, 214.128661], [10.100543, 10.107217, 10.215449, 12.242823, 12.912475], [34.840408, 38.709193, 42.912121, 47.158575, 161.147399], [42.987038, 43.052461, 45.244075, 47.724235, 188.442812]]
### 2
mean: [-1.788086, 0.214578, 5.051514, -0.440230, -0.484925, -1.214138, -0.686848, -1.113079]
std: [2.587058, 2.195797, 4.768349, 0.768061, 0.321058, 2.498579, 0.460739, 1.767811]
pca: [[-0.403694, -0.026974, -0.393520, -0.001070, 0.708666, -0.382136, 0.182170, -0.004719, 0.000000, 0.000000], [0.227354, 0.898114, -0.189225, 0.082327, 0.095426, 0.164089, 0.205265, 0.144748, 0.000000, 0.000000], [0.738298, -0.398775, -0.375000, 0.089934, 0.160840, 0.077849, 0.308773, 0.141104, 0.000000, 0.000000], [-0.106787, 0.016354, -0.400827, 0.646651, -0.484638, -0.408960, -0.067466, 0.053253, 0.000000, 0.000000], [0.024333, -0.049424, 0.131483, 0.625898, 0.433233, 0.417446, -0.475370, -0.000387, 0.000000, 0.000000], [-0.388493, -0.120437, -0.408040, 0.027024, -0.182266, 0.662579, 0.331327, -0.292117, 0.000000, 0.000000], [-0.042035, -0.030725, 0.564888, 0.417514, 0.063070, -0.091124, 0.684589, -0.151421, 0.000000, 0.000000], [-0.274895, -0.124427, 0.071871, 0.013366, -0.055252, 0.179342, 0.142728, 0.920879, 0.000000, 0.000000]]
fourier: [[42.048998, 42.866353, 51.130639, 52.365407, 160.927773], [32.453546, 33.422600, 34.301931, 45.248452, 45.690050], [82.733065, 85.111338, 85.543241, 88.314613, 454.636269], [12.146927, 13.527818, 13.987662, 17.559010, 39.620726], [4.804648, 5.659061, 5.708721, 6.988574, 43.643219], [40.976764, 41.459784, 48.961746, 51.627516, 109.272447], [7.387248, 7.940688, 8.644561, 9.689645, 61.816284], [30.478288, 30.478808, 33.679683, 35.697462, 100.177077]]
### 4
mean: [4.139562, -0.141555, -0.264562, 1.749248, -0.850298, -0.781994, -0.608721, 1.295342]
std: [4.595391, 0.857744, 1.312969, 2.206509, 1.678307, 1.657274, 1.372254, 2.018631]
pca: [[0.732020, 0.335846, -0.544830, 0.002500, -0.022200, -0.192617, 0.113281, 0.063889, 0.000000, 0.000000], [-0.124852, 0.459578, -0.089350, -0.194894, -0.084266, 0.580133, -0.312736, 0.534579, 0.000000, 0.000000], [-0.208083, 0.099486, -0.305147, 0.687492, 0.190054, -0.130446, -0.564952, -0.093471, 0.000000, 0.000000], [0.347717, 0.264095, 0.671292, 0.267130, 0.474815, -0.078411, 0.019829, 0.235295, 0.000000, 0.000000], [-0.263469, 0.389796, -0.199726, -0.240966, 0.632874, 0.154433, 0.232021, -0.449972, 0.000000, 0.000000], [-0.264211, -0.038551, -0.217317, 0.462986, 0.041024, 0.091748, 0.694885, 0.417323, 0.000000, 0.000000], [-0.203325, 0.657393, 0.237158, 0.149066, -0.548437, -0.228471, 0.156188, -0.265803, 0.000000, 0.000000], [0.322162, -0.103727, 0.089819, 0.351234, -0.166853, 0.720218, 0.093313, -0.445823, 0.000000, 0.000000]]
fourier: [[74.706556, 85.076786, 87.196264, 90.100330, 372.560540], [12.928972, 15.319179, 16.122185, 16.588475, 19.795463], [20.123041, 23.810542, 26.230390, 26.583675, 27.315289], [35.242454, 43.471343, 43.684641, 45.279805, 157.432290], [28.513908, 31.938350, 33.452591, 36.878743, 76.526800], [25.496199, 32.489706, 32.891209, 33.493855, 70.379491], [23.356105, 25.741854, 27.206863, 30.661268, 54.784853], [31.867486, 38.440900, 39.774781, 41.912466, 116.580748]]
### 6
mean: [-0.420903, 2.504756, -1.025670, -1.361796, 4.010717, -2.005523, 2.603681, -0.121715]
std: [1.132885, 3.255801, 0.828580, 2.331265, 5.093856, 3.168807, 3.815265, 0.212061]
pca: [[-0.135637, -0.163144, 0.832990, -0.088900, -0.020658, -0.242819, -0.393351, -0.197731, 0.000000, 0.000000], [0.394885, -0.086979, 0.029574, -0.225580, 0.433667, -0.360162, -0.124666, 0.671874, 0.000000, 0.000000], [-0.051786, 0.902052, 0.095443, 0.177383, 0.236494, 0.083611, -0.279807, 0.042824, 0.000000, 0.000000], [-0.282694, -0.002385, 0.435448, 0.098284, 0.344577, 0.299523, 0.673365, 0.242766, 0.000000, 0.000000], [0.617710, -0.175407, 0.135748, 0.687804, 0.176459, 0.168994, -0.026770, -0.189079, 0.000000, 0.000000], [-0.384037, -0.170380, -0.279898, 0.169335, 0.672995, -0.356983, -0.059894, -0.364036, 0.000000, 0.000000], [0.462388, 0.211852, 0.080353, -0.542015, 0.194790, -0.069628, 0.344057, -0.529068, 0.000000, 0.000000], [-0.014779, -0.217799, -0.057453, -0.323353, 0.338881, 0.744160, -0.418738, -0.023065, 0.000000, 0.000000]]
fourier: [[16.002760, 23.394095, 23.397819, 24.046633, 37.881276], [51.011307, 62.071564, 63.459072, 65.969179, 225.428042], [13.599497, 13.828044, 15.552334, 16.316572, 92.310315], [35.547273, 45.435278, 46.104373, 47.870075, 122.561627], [79.414814, 96.256198, 99.009244, 103.188031, 360.964593], [49.883367, 62.190794, 63.004237, 63.854272, 180.497099], [59.902398, 75.332299, 75.851837, 77.340737, 234.331307], [3.757166, 3.911905, 4.368920, 4.624069, 10.954306]]
### 8
mean: [-1.152118, 3.067712, 0.114444, -3.538720, 0.326162, -3.046278, 5.519112, -1.002688]
std: [2.106049, 4.306874, 0.282035, 4.686911, 0.209049, 3.830918, 6.644322, 2.203635]
pca: [[-0.201595, 0.368658, 0.081965, 0.145314, 0.440934, 0.176553, -0.040806, 0.753895, 0.000000, 0.000000], [0.412968, -0.429148, -0.324533, -0.272808, 0.444250, 0.514798, -0.050420, 0.025033, 0.000000, 0.000000], [-0.024928, 0.257112, 0.680302, -0.117548, 0.376806, 0.300255, 0.015176, -0.473579, 0.000000, 0.000000], [-0.449689, -0.227892, -0.103021, 0.582931, -0.099023, 0.474067, -0.357218, -0.182409, 0.000000, 0.000000], [0.003306, 0.506620, -0.186811, -0.455450, -0.458239, 0.422587, -0.335084, 0.012155, 0.000000, 0.000000], [-0.367633, -0.009262, -0.132953, -0.110016, -0.138981, 0.347290, 0.833597, -0.013041, 0.000000, 0.000000], [0.637457, 0.371228, -0.082726, 0.575197, -0.129550, 0.189993, 0.246153, -0.068349, 0.000000, 0.000000], [-0.210852, 0.409051, -0.595917, 0.021059, 0.458637, -0.231588, -0.014182, -0.410459, 0.000000, 0.000000]]
fourier: [[32.879635, 41.487796, 41.682994, 42.940106, 103.690600], [67.037899, 82.673404, 84.419486, 88.041613, 276.094151], [4.814554, 5.445511, 5.467422, 6.144549, 10.299929], [73.179318, 85.829870, 90.380226, 95.295001, 318.484751], [3.142670, 3.155665, 3.701842, 3.789273, 29.354564], [59.711525, 71.364392, 74.135147, 78.141481, 274.165076], [103.716239, 121.065688, 127.700454, 135.263494, 496.720024], [34.326158, 43.552295, 44.333684, 44.989563, 90.241901]]
### 10
mean: [-4.914784]
std: [6.467603]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[101.887754, 114.707822, 123.029732, 132.538094, 442.330629]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 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": [[0.65277, 0.418628, -0.100476, 0.477168, -0.076747], [0.327155, 0.327034, 0.391721, -0.143429, -0.00906], [0.503907, 0.617278, -0.149021, 0.40304, -0.062286], [0.389439, 0.141342, -1.049673, 0.295708, 0.021106], [-0.16918, 0.788052, -0.238522, 0.360047, 0.33207], [0.029687, -0.044771, -0.184625, 0.274125, -0.054478], [0.86139, -0.417602, 0.422162, 0.144913, 0.133687], [1.05027, 0.295586, 0.134954, 0.063602, 0.103935]], "network.0.bias": [-0.101139, -0.439133, -0.448948, -0.006386, 0.470326, 0.045677, 0.122049, -0.298298], "network.2.weight": [[-0.274221, -0.344302, -0.105566, -0.795214, 0.265178, -0.615223, -0.165632, -0.513098], [-0.027411, 0.602332, -0.368904, 0.168856, -0.420363, -0.186624, 0.172707, 0.547446], [0.375336, 0.442897, 0.430256, 0.989595, 0.115511, 0.446649, 0.304303, 0.8434], [0.081411, -0.185545, 0.260357, -0.658261, -0.056356, -0.599913, 0.057697, -0.395958], [0.272139, -0.119946, -0.052889, -0.134172, -0.152719, -0.025478, -0.254529, 0.173682], [-0.029408, -0.418781, -0.144555, -0.867522, 0.289762, -0.611054, -0.049266, -0.671485], [0.057818, -0.198706, 0.135106, 0.070322, -0.270301, 0.124673, -0.20775, 0.055162], [-0.117837, -0.326479, -0.002088, -0.425393, 0.098565, -0.117583, -0.12596, -0.381738]], "network.2.bias": [0.474689, -0.174949, 0.033961, 0.283339, -0.340119, 0.747656, 0.009375, 0.435055], "network.4.weight": [[-0.332166, 0.620846, 0.765069, -0.666493, -0.036231, -0.437409, 0.023512, -0.122716], [0.135832, -0.434336, -0.015642, 0.112506, -0.254093, 0.214686, -0.543512, 0.55602], [0.613092, -0.286316, -0.14779, -0.216975, -0.840215, 0.518151, -0.680826, 0.347075], [-0.574971, 0.199247, 0.327424, -0.760225, 0.426483, -0.839916, 0.180042, -0.704364], [0.162908, -0.537474, -0.14629, 0.224597, -0.414926, 0.656962, -0.89761, 0.576346], [0.471728, -0.26546, -0.234811, -0.075059, -0.390609, 0.476916, -0.626856, 0.446075], [0.036693, -0.660546, -0.068828, -0.393037, -0.242489, 0.180396, -0.089156, 0.489091], [-0.027973, 0.423067, 0.262, -0.3779, 0.451349, -0.616173, 0.199921, -0.466189]], "network.4.bias": [-0.156744, 0.156952, 0.39491, 0.201704, 0.043886, 0.374843, 0.219702, -0.185197], "network.6.weight": [[-0.066724, 0.142465, 0.326758, 0.222939, 0.074635, 0.450679, 0.155546, -0.521134], [0.429599, -0.015292, -0.637005, 0.231273, -0.089134, -0.283265, -0.118557, 0.293341], [-0.189965, -0.361283, -0.513098, 0.320095, -0.078411, -0.362478, -0.459288, -0.373328], [-0.255622, 0.111547, 0.426944, -0.022006, 0.165913, 0.486181, -0.225873, -0.453894], [0.478242, -0.347731, -0.5703, 0.698656, -0.503012, -0.438158, 0.170381, 0.599432], [-0.357482, 0.150577, 0.269084, -0.473301, 0.671742, 0.415111, 0.164293, -0.111961], [0.541373, -0.195405, -0.875015, 0.269093, -0.445913, -0.285451, -0.333661, 0.148252], [0.076424, -0.059808, 0.250483, -0.159426, 0.418801, -0.179514, -0.049844, -0.010065]], "network.6.bias": [-0.040649, 0.083873, 0.006084, 0.17447, 0.154445, 0.2778, 0.007741, -0.213184], "network.8.weight": [[0.148905, 0.019236, -0.191237, 0.047562, -0.103929, 0.484083, -0.418951, 0.112192], [-0.409893, 0.117438, -0.477481, -0.457078, 0.459069, -0.474814, 0.406613, 0.051245], [0.174697, 0.256945, -0.075128, -0.002524, 0.106552, 0.080038, -0.43266, 0.279355], [0.314513, -0.764725, -0.079877, -0.043731, -0.197561, 0.614241, -0.345465, -0.269944], [0.294714, -0.048502, -0.320415, 0.380983, -0.134889, -0.16822, 0.291177, 0.15444], [0.141367, -0.563692, -0.107512, 0.493398, -0.230496, 0.251381, -0.226942, 0.005523], [-0.094751, 0.48119, -0.102197, -0.635896, 0.606304, -0.443812, 0.583769, -0.179059], [0.047029, 0.127558, -0.295501, 0.104094, -0.339303, 0.590538, -0.205697, -0.277638]], "network.8.bias": [0.282657, -0.176233, 0.211835, 0.161699, 0.053182, -0.071402, 0.113598, 0.448789], "network.10.weight": [[0.243187, -0.42725, 0.163506, 0.098228, -0.057573, 0.078124, -0.716084, 0.481404]], "network.10.bias": [0.512812]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7086821496486664, "train_acc": 0.445, "val_loss": 0.6898277401924133, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6829470694065094, "train_acc": 0.555, "val_loss": 0.6706793308258057, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6679206490516663, "train_acc": 0.555, "val_loss": 0.6181199550628662, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6294831335544586, "train_acc": 0.56, "val_loss": 0.47759950160980225, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5006930232048035, "train_acc": 0.805, "val_loss": 0.32288846373558044, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.39125142991542816, "train_acc": 0.835, "val_loss": 0.20578303933143616, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.263888880610466, "train_acc": 0.895, "val_loss": 0.19519998133182526, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.31549566984176636, "train_acc": 0.93, "val_loss": 0.19496102631092072, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.28046077489852905, "train_acc": 0.93, "val_loss": 0.1740102916955948, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.27025119215250015, "train_acc": 0.92, "val_loss": 0.23256030678749084, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.24035847187042236, "train_acc": 0.915, "val_loss": 0.14831247925758362, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.19018147140741348, "train_acc": 0.94, "val_loss": 0.21855756640434265, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.22201325744390488, "train_acc": 0.92, "val_loss": 0.15436817705631256, "val_acc": 0.96}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6898277401924133, "final_val_loss": 0.6181199550628662, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.47759950160980225, "final_val_loss": 0.15436817705631256, "initial_val_acc": 0.9, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 10}, "improvement": 0.3999999999999999, "first_improvement_epoch": 2}}
|
9,725
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.88, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2328, "learning_rate": 0.05984666177809458, "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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.168719,
0.231513,
-0.733624
],
[
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0.078556,
0.37744,
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],
[
-0.1422,
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-0.252119,
-0.099371,
-0.525469
],
[
0.191285,
-0.360009,
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-0.168213,
-0.457209
],
[
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0.134301,
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0.308099
],
[
1.19295,
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0.13584,
0.123729,
-1.144132
],
[
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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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0.082223,
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[
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[
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],
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"network.4.weight": [
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[
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"network.6.weight": [
[
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[
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[
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[
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[
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[
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],
"network.6.bias": [
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"network.8.weight": [
[
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [0.543458, 0.190593, -3.563888, -1.483263, -1.680716, 1.606779, -2.147333]
std: [2.078465, 2.034301, 2.021327, 1.206867, 1.880288, 3.187740, 1.662172]
pca: [[0.438161, 0.170721, 0.095870, 0.235173, 0.824207, 0.180627, -0.049290, 0.000000, 0.000000, 0.000000], [-0.356159, -0.300999, 0.660658, 0.338966, -0.011242, 0.452234, 0.162919, 0.000000, 0.000000, 0.000000], [-0.172886, 0.617349, 0.536800, -0.055513, -0.042114, -0.307119, -0.449065, 0.000000, 0.000000, 0.000000], [0.035728, 0.427075, 0.099512, 0.143627, -0.054878, -0.247965, 0.849295, 0.000000, 0.000000, 0.000000], [-0.329836, 0.302995, -0.459913, 0.730779, -0.080911, 0.127495, -0.176189, 0.000000, 0.000000, 0.000000], [0.698334, 0.161250, 0.132796, 0.188216, -0.554402, 0.342223, -0.093758, 0.000000, 0.000000, 0.000000], [-0.231382, 0.446021, -0.164710, -0.486438, 0.043172, 0.688243, 0.090744, 0.000000, 0.000000, 0.000000]]
fourier: [[33.259766, 36.449656, 37.981593, 40.535474, 48.911174], [28.401455, 31.759562, 35.027667, 38.977035, 39.640199], [31.588242, 32.620350, 35.477032, 40.182848, 320.749956], [18.743373, 21.093925, 22.045826, 22.098362, 133.493679], [29.854123, 30.876804, 37.197827, 39.269540, 151.264505], [49.455594, 50.757765, 55.702335, 56.315472, 144.610068], [27.068086, 27.344937, 31.125289, 33.950566, 193.260001]]
### 2
mean: [-1.601542, 1.158428, -0.716851, 0.921877, 1.984216, 0.350346, -0.962983]
std: [1.616595, 2.222572, 0.965004, 2.047847, 3.096896, 0.479023, 1.010296]
pca: [[-0.322913, 0.626618, -0.387437, 0.525456, -0.168325, -0.177005, 0.131157, 0.000000, 0.000000, 0.000000], [0.457641, 0.512513, -0.149288, -0.528100, -0.146451, 0.184435, 0.413829, 0.000000, 0.000000, 0.000000], [-0.193473, 0.219977, 0.795672, -0.029370, -0.045543, -0.394019, 0.350567, 0.000000, 0.000000, 0.000000], [0.427666, 0.086119, -0.122487, 0.137357, 0.737454, -0.480894, 0.026803, 0.000000, 0.000000, 0.000000], [0.646972, -0.056758, 0.258585, 0.611530, -0.315695, 0.191634, 0.031374, 0.000000, 0.000000, 0.000000], [-0.056710, -0.526268, -0.293063, 0.092256, -0.111578, -0.172219, 0.763754, 0.000000, 0.000000, 0.000000], [-0.210175, 0.093247, 0.163577, 0.206873, 0.540550, 0.694090, 0.321905, 0.000000, 0.000000, 0.000000]]
fourier: [[26.804205, 28.332362, 29.769227, 29.868620, 144.138818], [33.330725, 33.999171, 35.485539, 42.827340, 104.258532], [13.730714, 14.457041, 18.826449, 19.788483, 64.516584], [30.284786, 31.059345, 32.580213, 41.547573, 82.968982], [45.643038, 47.712682, 51.578627, 63.162609, 178.579468], [7.015174, 7.455347, 7.857872, 8.885367, 31.531166], [14.924471, 16.744601, 17.081740, 20.122063, 86.668431]]
### 4
mean: [0.318876, -1.896937, 1.143027, 3.057209, -2.066924, -1.038949, 2.169082]
std: [0.439666, 2.297447, 1.758812, 4.889521, 2.215054, 2.075899, 4.166574]
pca: [[0.049774, -0.487595, -0.186238, 0.372431, 0.421749, 0.268598, 0.579972, 0.000000, 0.000000, 0.000000], [-0.298322, 0.454276, -0.213055, 0.638359, -0.396653, -0.130618, 0.278116, 0.000000, 0.000000, 0.000000], [0.228472, 0.306470, 0.472774, 0.322966, 0.572162, -0.444888, -0.027562, 0.000000, 0.000000, 0.000000], [0.637302, 0.237890, -0.129824, 0.318666, -0.038616, 0.555323, -0.330118, 0.000000, 0.000000, 0.000000], [-0.287333, 0.489840, 0.354458, -0.280263, 0.180236, 0.574248, 0.333261, 0.000000, 0.000000, 0.000000], [-0.269426, -0.403038, 0.649592, 0.382570, -0.260149, 0.234318, -0.272136, 0.000000, 0.000000, 0.000000], [0.543160, -0.054641, 0.363239, -0.151762, -0.485563, -0.140783, 0.539839, 0.000000, 0.000000, 0.000000]]
fourier: [[6.908883, 6.964777, 6.986134, 7.415935, 28.698817], [36.289548, 37.535699, 40.928179, 43.825312, 170.724303], [27.195497, 28.978754, 30.884552, 35.300985, 102.872454], [75.398719, 81.956298, 86.525122, 96.703874, 275.148862], [35.429936, 36.690780, 39.160249, 42.417408, 186.023122], [32.133570, 36.148044, 36.779803, 40.911479, 93.505393], [64.526238, 68.878580, 73.742965, 82.029466, 195.217389]]
### 6
mean: [-0.661948, -2.159117, 2.985821, -1.920588, 2.706370, 4.399169, -1.245168]
std: [1.258088, 4.744039, 5.420149, 3.278510, 5.024097, 7.056054, 2.793034]
pca: [[-0.103750, 0.040778, 0.194461, -0.007746, 0.781479, -0.100850, 0.573426, 0.000000, 0.000000, 0.000000], [-0.391240, 0.298352, 0.361749, 0.504707, -0.200979, 0.552535, 0.163212, 0.000000, 0.000000, 0.000000], [0.446878, 0.758942, -0.285649, -0.224428, -0.023714, 0.232718, 0.193967, 0.000000, 0.000000, 0.000000], [-0.270267, 0.529023, 0.387090, -0.129659, 0.190779, -0.381176, -0.546579, 0.000000, 0.000000, 0.000000], [0.414366, -0.012802, -0.175768, 0.679122, 0.410811, 0.063815, -0.403977, 0.000000, 0.000000, 0.000000], [0.581950, -0.178225, 0.734992, -0.199953, -0.032271, 0.213502, -0.052457, 0.000000, 0.000000, 0.000000], [-0.230342, -0.146753, -0.169652, -0.420527, 0.377004, 0.659868, -0.377125, 0.000000, 0.000000, 0.000000]]
fourier: [[20.200787, 21.974117, 22.593093, 24.706020, 59.575339], [74.837185, 82.193751, 85.424861, 93.342981, 194.320557], [87.864492, 96.094452, 99.145254, 104.991825, 268.723820], [51.314891, 56.391006, 58.040014, 65.213175, 172.852920], [80.229271, 87.859706, 89.909636, 99.140603, 243.573308], [111.689687, 122.426681, 126.541512, 138.746745, 395.925238], [45.013344, 48.971709, 50.142819, 54.956903, 112.065115]]
### 8
mean: [-5.514085]
std: [10.193286]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[162.405984, 177.738736, 183.340499, 200.705003, 496.267616]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.933849,
-0.168063,
0.168719,
0.231513,
-0.733624
],
[
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0.078556,
0.37744,
0.343627
],
[
-0.1422,
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-0.252119,
-0.099371,
-0.525469
],
[
0.191285,
-0.360009,
-0.061228,
-0.168213,
-0.457209
],
[
-0.516467,
-0.3842,
0.134301,
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0.308099
],
[
1.19295,
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0.13584,
0.123729,
-1.144132
],
[
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0.07937
]
],
"network.0.bias": [
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0.144716,
0.35532,
0.278923
],
"network.2.weight": [
[
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[
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],
[
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[
0.333057,
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0.082223,
0.58576,
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],
[
0.802236,
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0.71733,
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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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0.616127,
0.129973
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[
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[
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"network.4.bias": [
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0.315465,
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"network.6.weight": [
[
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0.02145,
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0.209541,
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],
[
0.157115,
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0.436777,
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[
0.650535,
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],
[
0.193655,
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],
[
0.15975,
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[
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[
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]
],
"network.6.bias": [
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"network.8.weight": [
[
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0.22404
]
],
"network.8.bias": [
0.236555
]
}
## Activation Signature
### 0
mean: [0.543458, 0.190593, -3.563888, -1.483263, -1.680716, 1.606779, -2.147333]
std: [2.078465, 2.034301, 2.021327, 1.206867, 1.880288, 3.187740, 1.662172]
pca: [[0.438161, 0.170721, 0.095870, 0.235173, 0.824207, 0.180627, -0.049290, 0.000000, 0.000000, 0.000000], [-0.356159, -0.300999, 0.660658, 0.338966, -0.011242, 0.452234, 0.162919, 0.000000, 0.000000, 0.000000], [-0.172886, 0.617349, 0.536800, -0.055513, -0.042114, -0.307119, -0.449065, 0.000000, 0.000000, 0.000000], [0.035728, 0.427075, 0.099512, 0.143627, -0.054878, -0.247965, 0.849295, 0.000000, 0.000000, 0.000000], [-0.329836, 0.302995, -0.459913, 0.730779, -0.080911, 0.127495, -0.176189, 0.000000, 0.000000, 0.000000], [0.698334, 0.161250, 0.132796, 0.188216, -0.554402, 0.342223, -0.093758, 0.000000, 0.000000, 0.000000], [-0.231382, 0.446021, -0.164710, -0.486438, 0.043172, 0.688243, 0.090744, 0.000000, 0.000000, 0.000000]]
fourier: [[33.259766, 36.449656, 37.981593, 40.535474, 48.911174], [28.401455, 31.759562, 35.027667, 38.977035, 39.640199], [31.588242, 32.620350, 35.477032, 40.182848, 320.749956], [18.743373, 21.093925, 22.045826, 22.098362, 133.493679], [29.854123, 30.876804, 37.197827, 39.269540, 151.264505], [49.455594, 50.757765, 55.702335, 56.315472, 144.610068], [27.068086, 27.344937, 31.125289, 33.950566, 193.260001]]
### 2
mean: [-1.601542, 1.158428, -0.716851, 0.921877, 1.984216, 0.350346, -0.962983]
std: [1.616595, 2.222572, 0.965004, 2.047847, 3.096896, 0.479023, 1.010296]
pca: [[-0.322913, 0.626618, -0.387437, 0.525456, -0.168325, -0.177005, 0.131157, 0.000000, 0.000000, 0.000000], [0.457641, 0.512513, -0.149288, -0.528100, -0.146451, 0.184435, 0.413829, 0.000000, 0.000000, 0.000000], [-0.193473, 0.219977, 0.795672, -0.029370, -0.045543, -0.394019, 0.350567, 0.000000, 0.000000, 0.000000], [0.427666, 0.086119, -0.122487, 0.137357, 0.737454, -0.480894, 0.026803, 0.000000, 0.000000, 0.000000], [0.646972, -0.056758, 0.258585, 0.611530, -0.315695, 0.191634, 0.031374, 0.000000, 0.000000, 0.000000], [-0.056710, -0.526268, -0.293063, 0.092256, -0.111578, -0.172219, 0.763754, 0.000000, 0.000000, 0.000000], [-0.210175, 0.093247, 0.163577, 0.206873, 0.540550, 0.694090, 0.321905, 0.000000, 0.000000, 0.000000]]
fourier: [[26.804205, 28.332362, 29.769227, 29.868620, 144.138818], [33.330725, 33.999171, 35.485539, 42.827340, 104.258532], [13.730714, 14.457041, 18.826449, 19.788483, 64.516584], [30.284786, 31.059345, 32.580213, 41.547573, 82.968982], [45.643038, 47.712682, 51.578627, 63.162609, 178.579468], [7.015174, 7.455347, 7.857872, 8.885367, 31.531166], [14.924471, 16.744601, 17.081740, 20.122063, 86.668431]]
### 4
mean: [0.318876, -1.896937, 1.143027, 3.057209, -2.066924, -1.038949, 2.169082]
std: [0.439666, 2.297447, 1.758812, 4.889521, 2.215054, 2.075899, 4.166574]
pca: [[0.049774, -0.487595, -0.186238, 0.372431, 0.421749, 0.268598, 0.579972, 0.000000, 0.000000, 0.000000], [-0.298322, 0.454276, -0.213055, 0.638359, -0.396653, -0.130618, 0.278116, 0.000000, 0.000000, 0.000000], [0.228472, 0.306470, 0.472774, 0.322966, 0.572162, -0.444888, -0.027562, 0.000000, 0.000000, 0.000000], [0.637302, 0.237890, -0.129824, 0.318666, -0.038616, 0.555323, -0.330118, 0.000000, 0.000000, 0.000000], [-0.287333, 0.489840, 0.354458, -0.280263, 0.180236, 0.574248, 0.333261, 0.000000, 0.000000, 0.000000], [-0.269426, -0.403038, 0.649592, 0.382570, -0.260149, 0.234318, -0.272136, 0.000000, 0.000000, 0.000000], [0.543160, -0.054641, 0.363239, -0.151762, -0.485563, -0.140783, 0.539839, 0.000000, 0.000000, 0.000000]]
fourier: [[6.908883, 6.964777, 6.986134, 7.415935, 28.698817], [36.289548, 37.535699, 40.928179, 43.825312, 170.724303], [27.195497, 28.978754, 30.884552, 35.300985, 102.872454], [75.398719, 81.956298, 86.525122, 96.703874, 275.148862], [35.429936, 36.690780, 39.160249, 42.417408, 186.023122], [32.133570, 36.148044, 36.779803, 40.911479, 93.505393], [64.526238, 68.878580, 73.742965, 82.029466, 195.217389]]
### 6
mean: [-0.661948, -2.159117, 2.985821, -1.920588, 2.706370, 4.399169, -1.245168]
std: [1.258088, 4.744039, 5.420149, 3.278510, 5.024097, 7.056054, 2.793034]
pca: [[-0.103750, 0.040778, 0.194461, -0.007746, 0.781479, -0.100850, 0.573426, 0.000000, 0.000000, 0.000000], [-0.391240, 0.298352, 0.361749, 0.504707, -0.200979, 0.552535, 0.163212, 0.000000, 0.000000, 0.000000], [0.446878, 0.758942, -0.285649, -0.224428, -0.023714, 0.232718, 0.193967, 0.000000, 0.000000, 0.000000], [-0.270267, 0.529023, 0.387090, -0.129659, 0.190779, -0.381176, -0.546579, 0.000000, 0.000000, 0.000000], [0.414366, -0.012802, -0.175768, 0.679122, 0.410811, 0.063815, -0.403977, 0.000000, 0.000000, 0.000000], [0.581950, -0.178225, 0.734992, -0.199953, -0.032271, 0.213502, -0.052457, 0.000000, 0.000000, 0.000000], [-0.230342, -0.146753, -0.169652, -0.420527, 0.377004, 0.659868, -0.377125, 0.000000, 0.000000, 0.000000]]
fourier: [[20.200787, 21.974117, 22.593093, 24.706020, 59.575339], [74.837185, 82.193751, 85.424861, 93.342981, 194.320557], [87.864492, 96.094452, 99.145254, 104.991825, 268.723820], [51.314891, 56.391006, 58.040014, 65.213175, 172.852920], [80.229271, 87.859706, 89.909636, 99.140603, 243.573308], [111.689687, 122.426681, 126.541512, 138.746745, 395.925238], [45.013344, 48.971709, 50.142819, 54.956903, 112.065115]]
### 8
mean: [-5.514085]
std: [10.193286]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[162.405984, 177.738736, 183.340499, 200.705003, 496.267616]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.5434575080871582, "std": 2.0784647464752197, "pca": [0.4381609261035919, 0.1707206666469574, 0.09586972743272781, 0.23517288267612457, 0.8242065906524658, 0.18062689900398254, -0.0492904931306839, 0.0, 0.0, 0.0], "fourier": [33.259765854576, 36.449656104852586, 37.98159289767421, 40.53547410660922, 48.91117377579212]}, "1": {"mean": 0.19059285521507263, "std": 2.0343010425567627, "pca": [-0.3561590909957886, -0.3009985089302063, 0.6606575846672058, 0.33896562457084656, -0.011242495849728584, 0.45223379135131836, 0.162919282913208, 0.0, 0.0, 0.0], "fourier": [28.40145502696421, 31.759561567473202, 35.02766670705766, 38.977035051929555, 39.6401991671263]}, "2": {"mean": -3.5638883113861084, "std": 2.0213265419006348, "pca": [-0.17288580536842346, 0.6173490881919861, 0.5367997884750366, -0.055513035506010056, -0.04211413860321045, -0.3071192800998688, -0.44906458258628845, 0.0, 0.0, 0.0], "fourier": [31.58824243808295, 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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.933849, -0.168063, 0.168719, 0.231513, -0.733624], [-0.895911, -0.037036, 0.078556, 0.37744, 0.343627], [-0.1422, -0.692278, -0.252119, -0.099371, -0.525469], [0.191285, -0.360009, -0.061228, -0.168213, -0.457209], [-0.516467, -0.3842, 0.134301, -0.533074, 0.308099], [1.19295, 0.345133, 0.13584, 0.123729, -1.144132], [-0.148443, -0.470627, -0.322885, -0.376489, 0.07937]], "network.0.bias": [-0.256519, -0.024307, -0.737622, -0.012778, 0.144716, 0.35532, 0.278923], "network.2.weight": [[-0.574468, -0.295936, -0.055213, -0.810529, 0.417005, -0.316273, -1.104101], [0.307444, -0.533945, -0.172147, -1.0729, -0.026649, 0.593516, 0.044568], [0.070965, -0.080033, -0.25819, 0.955712, 0.649261, -0.415979, 0.35684], [0.333057, -0.191237, -0.334436, -1.160105, 0.082223, 0.58576, -0.346808], [0.802236, -0.215162, -0.622159, -0.874566, -0.219186, 0.71733, -1.018398], [-0.049497, 0.379418, 0.565831, 0.000775, -0.525352, -0.021192, 0.299815], [-0.202879, 0.010171, 0.360411, 0.772659, 0.39319, -0.275023, -0.212971]], "network.2.bias": [-0.283078, 0.00706, 0.168866, -0.538988, -0.16736, 0.186226, -0.174531], "network.4.weight": [[-0.984112, 0.263389, 0.51066, -0.084759, -0.012249, -0.458069, -0.02068], [0.103625, -0.34521, -0.547677, -0.239561, -0.329794, 0.698083, 0.017392], [-0.193692, -0.01971, -0.092941, 0.261736, 0.439324, 0.072855, -0.472074], [-0.129111, 0.807367, -0.294781, 0.718783, 0.605363, -0.255549, -0.352089], [0.637153, -0.718117, -0.447282, -0.075331, -0.167795, 0.616127, 0.129973], [-0.674534, -0.559691, 0.151459, -0.3458, -0.10002, -0.316039, 0.233413], [0.078706, 0.553388, -0.169866, 0.503594, 0.646664, -0.565692, 0.075704]], "network.4.bias": [0.153452, -0.739947, -0.092825, 0.029473, -0.839881, 0.315465, -0.22745], "network.6.weight": [[-0.158543, 0.092747, -0.328922, 0.02145, -0.640455, 0.209541, -0.171835], [0.157115, -0.413285, -0.377906, -0.551365, -0.22982, 0.436777, -0.347153], [0.650535, 0.775828, -0.213422, 0.355005, 0.503333, -0.279701, 0.936299], [0.193655, -0.198472, -0.50429, -0.51292, -0.608135, 0.391944, 0.023038], [0.15975, 0.587879, -0.113768, 0.62891, 0.41247, -0.655488, 0.504921], [0.456222, 0.400347, 0.471816, 0.982328, 0.832191, -0.585623, 0.301554], [-0.353154, -0.044187, 0.019442, -0.079049, -0.446858, 0.599397, -0.562503]], "network.6.bias": [0.016293, 0.652943, -0.106097, 0.026276, -0.214892, 0.160573, 0.30914], "network.8.weight": [[-0.208244, 0.769402, -0.412951, -0.086268, -0.592754, -0.694201, 0.22404]], "network.8.bias": [0.236555]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6934081017971039, "train_acc": 0.47, "val_loss": 0.6776013374328613, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6512240171432495, "train_acc": 0.57, "val_loss": 0.637117862701416, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6501515209674835, "train_acc": 0.565, "val_loss": 0.6361158490180969, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6175776422023773, "train_acc": 0.665, "val_loss": 0.5003448128700256, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5480125546455383, "train_acc": 0.705, "val_loss": 0.4779931306838989, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5242207944393158, "train_acc": 0.71, "val_loss": 0.4455951750278473, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4902072846889496, "train_acc": 0.74, "val_loss": 0.4332727789878845, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4527016282081604, "train_acc": 0.745, "val_loss": 0.35088658332824707, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.4963606745004654, "train_acc": 0.765, "val_loss": 0.306599885225296, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.4428367018699646, "train_acc": 0.795, "val_loss": 0.34213507175445557, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.48191240429878235, "train_acc": 0.76, "val_loss": 0.31794968247413635, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.4523458480834961, "train_acc": 0.785, "val_loss": 0.3471013903617859, "val_acc": 0.82}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6776013374328613, "final_val_loss": 0.637117862701416, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.6361158490180969, "final_val_loss": 0.3471013903617859, "initial_val_acc": 0.7, "final_val_acc": 0.82, "best_val_acc": 0.88, "best_epoch": 10}, "improvement": 0.36, "first_improvement_epoch": 1}}
|
9,726
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.46, "improved_accuracy": 0.8, "improvement": 0.34, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6867, "learning_rate": 0.05813290530491097, "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: 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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## Activation Signature
### 0
mean: [1.590471, 2.093371, 0.191375, -0.784491, 0.418152, -0.961893, 0.562739, 0.524216]
std: [1.518236, 1.660122, 1.310837, 0.861036, 0.566187, 1.354445, 1.076231, 1.044639]
pca: [[0.267074, 0.722846, 0.058622, -0.456553, 0.169563, -0.282330, -0.282769, -0.076599, 0.000000, 0.000000], [0.634372, -0.297612, 0.356557, -0.148253, 0.007699, -0.023905, 0.017848, 0.599114, 0.000000, 0.000000], [0.160889, 0.525651, 0.125823, 0.724316, 0.048493, 0.334095, -0.008557, 0.208076, 0.000000, 0.000000], [0.016953, 0.268027, -0.481491, -0.244559, -0.145828, 0.117288, 0.703125, 0.326838, 0.000000, 0.000000], [-0.085058, -0.035407, 0.278952, -0.210096, 0.759262, 0.435436, 0.286405, -0.146445, 0.000000, 0.000000], [-0.557954, 0.086508, 0.056863, -0.266764, -0.086961, 0.342335, -0.409227, 0.560878, 0.000000, 0.000000], [0.409573, -0.070316, -0.291099, -0.202695, -0.253097, 0.683169, -0.276770, -0.306763, 0.000000, 0.000000], [-0.117358, 0.164594, 0.675262, -0.169553, -0.547241, 0.144312, 0.314911, -0.234397, 0.000000, 0.000000]]
fourier: [[24.508263, 25.624791, 30.584118, 31.970650, 143.142344], [25.756883, 29.955172, 31.524537, 34.920909, 188.403377], [19.844551, 19.982805, 20.612587, 21.014267, 21.865905], [13.966320, 14.722548, 16.816986, 17.056931, 70.604195], [8.351721, 9.103944, 9.278668, 12.394966, 37.633677], [19.520246, 22.643605, 25.041555, 29.750725, 86.570398], [17.365157, 17.365584, 20.947879, 23.519443, 50.646532], [15.538754, 15.554377, 17.777506, 21.053794, 47.179472]]
### 2
mean: [1.091408, -2.216883, 0.547470, 0.609471, -0.105874, 0.318451, 0.478155, -0.269788]
std: [0.803954, 1.109468, 1.033943, 0.977208, 0.725605, 0.557970, 0.772487, 0.906570]
pca: [[-0.230829, -0.460506, 0.111912, 0.656719, 0.340750, -0.085013, -0.367480, 0.180192, 0.000000, 0.000000], [-0.291706, 0.697779, -0.188454, 0.360048, -0.114514, 0.383312, -0.165256, 0.274794, 0.000000, 0.000000], [0.536675, 0.009789, -0.072903, 0.434286, -0.500320, -0.005695, -0.273418, -0.439153, 0.000000, 0.000000], [0.478014, -0.040443, 0.480861, 0.009915, -0.188553, 0.131475, 0.050174, 0.695116, 0.000000, 0.000000], [0.013223, 0.359314, 0.705303, 0.209932, 0.328166, -0.002754, 0.236912, -0.406653, 0.000000, 0.000000], [-0.105572, -0.371908, -0.070616, 0.236488, -0.146839, 0.630365, 0.599575, -0.105898, 0.000000, 0.000000], [0.396775, -0.018347, -0.126793, -0.228385, 0.541812, 0.578418, -0.362852, -0.119194, 0.000000, 0.000000], [0.419948, 0.177622, -0.443738, 0.313410, 0.402602, -0.310791, 0.461623, 0.158711, 0.000000, 0.000000]]
fourier: [[11.971643, 12.421448, 13.583964, 14.725463, 98.226764], [16.852234, 18.174751, 18.226807, 20.384032, 199.519452], [15.396980, 18.664137, 19.167087, 23.432424, 49.272321], [16.300412, 16.521815, 19.582583, 22.491070, 54.852365], [10.478767, 10.921322, 12.969710, 12.994624, 15.244793], [7.302026, 7.962554, 9.115173, 10.677154, 28.660601], [11.714445, 12.129139, 12.419074, 18.223398, 43.033962], [12.784948, 13.766086, 17.851782, 20.102633, 24.280952]]
### 4
mean: [-0.492741, 0.116784, 0.052527, 0.339177, 0.383282, 0.123705, -0.223392, -0.173537]
std: [0.342626, 1.059592, 0.313701, 0.990496, 1.432485, 0.214749, 0.411060, 0.244420]
pca: [[-0.081312, 0.692480, -0.289606, 0.359843, -0.021345, -0.052768, -0.511635, 0.188391, 0.000000, 0.000000], [0.498132, -0.390858, -0.088624, 0.075745, -0.034720, 0.413265, -0.346436, 0.541749, 0.000000, 0.000000], [-0.137628, -0.171908, 0.412091, 0.230637, 0.677109, 0.114582, -0.424104, -0.277531, 0.000000, 0.000000], [0.468004, 0.223420, -0.289225, 0.230311, 0.565532, 0.041164, 0.522248, -0.009840, 0.000000, 0.000000], [0.680774, 0.068395, 0.319884, 0.084992, -0.249184, -0.461455, -0.199617, -0.327779, 0.000000, 0.000000], [-0.091936, -0.082121, 0.190010, 0.774119, -0.378302, 0.333511, 0.261655, -0.163200, 0.000000, 0.000000], [0.161019, 0.508356, 0.426164, -0.372395, -0.071142, 0.614590, 0.065347, -0.091109, 0.000000, 0.000000], [-0.097218, 0.135590, 0.578583, 0.115657, 0.098840, -0.331230, 0.230270, 0.671954, 0.000000, 0.000000]]
fourier: [[4.760493, 5.171209, 5.656697, 6.471221, 44.346735], [16.018917, 16.277287, 18.687459, 19.614329, 25.719783], [4.727413, 4.876527, 5.590261, 6.517969, 6.937263], [15.168395, 17.024688, 21.423432, 22.459758, 30.525917], [23.476994, 23.662729, 29.282655, 33.211200, 34.495395], [3.079139, 3.282910, 4.420768, 4.663713, 11.133493], [6.229875, 6.730075, 6.952696, 8.674502, 20.105280], [4.360105, 4.478304, 4.820282, 5.497430, 15.618369]]
### 6
mean: [0.400249, 0.777698, -0.022385, -0.574062, -0.027227, 0.124439, -0.076720, 0.012584]
std: [0.818532, 1.192410, 0.761263, 0.421291, 0.266329, 0.219229, 0.550193, 0.304663]
pca: [[0.446606, 0.064497, 0.689660, -0.348622, -0.110143, -0.240905, 0.111823, -0.341386, 0.000000, 0.000000], [0.650962, 0.277090, -0.292770, 0.141931, -0.030965, 0.492429, -0.284484, -0.263124, 0.000000, 0.000000], [-0.415169, 0.406584, 0.357743, 0.280857, -0.543463, 0.166553, -0.352969, -0.088229, 0.000000, 0.000000], [-0.228775, -0.522722, 0.133591, -0.461400, -0.032554, 0.622299, -0.184501, -0.146051, 0.000000, 0.000000], [-0.143959, 0.423588, 0.030039, -0.426549, 0.526887, -0.127055, -0.554404, 0.126040, 0.000000, 0.000000], [-0.118699, 0.041759, 0.418716, 0.484375, 0.635938, 0.318607, 0.208190, -0.157969, 0.000000, 0.000000], [0.300331, -0.013411, 0.320197, 0.022724, -0.072397, 0.240910, -0.016412, 0.861992, 0.000000, 0.000000], [-0.164548, 0.546958, -0.118645, -0.386611, -0.056821, 0.329837, 0.630048, 0.035145, 0.000000, 0.000000]]
fourier: [[12.403011, 12.437805, 14.653527, 19.725093, 36.022392], [17.662478, 17.932905, 20.678403, 28.864424, 69.992832], [10.972736, 11.000624, 11.597087, 13.160696, 18.289114], [6.167749, 6.479264, 7.131757, 10.178017, 51.665587], [3.854263, 3.869234, 4.132400, 4.679599, 6.310023], [3.148434, 3.361581, 4.122992, 5.236877, 11.199509], [8.144057, 8.268376, 8.351590, 9.678273, 13.264963], [4.461881, 4.513825, 4.712671, 5.210871, 7.241787]]
### 8
mean: [0.074045, 0.535453, 0.043307, -0.063466, -0.300442, 0.288951, 0.030944, 0.337585]
std: [0.465154, 0.602405, 0.297038, 0.191388, 0.047195, 0.337499, 0.721824, 0.998742]
pca: [[0.304602, 0.018370, -0.658340, -0.078815, -0.143860, -0.004575, 0.668079, -0.014530, 0.000000, 0.000000], [0.393942, 0.380191, 0.275010, 0.672044, -0.076721, -0.230592, 0.135393, -0.309192, 0.000000, 0.000000], [0.194257, -0.145140, 0.658902, -0.337347, -0.149069, 0.347193, 0.493371, -0.084045, 0.000000, 0.000000], [-0.122985, -0.426301, 0.084343, 0.046800, 0.693193, -0.407831, 0.297650, -0.241659, 0.000000, 0.000000], [-0.009948, 0.515115, -0.116036, -0.090670, 0.583018, 0.558972, -0.010643, -0.245763, 0.000000, 0.000000], [0.219194, -0.500874, -0.067638, 0.538520, 0.146125, 0.527629, -0.047177, 0.323310, 0.000000, 0.000000], [0.472581, 0.244911, 0.135182, -0.198745, 0.330665, -0.262269, -0.027961, 0.692825, 0.000000, 0.000000], [0.653979, -0.275897, -0.115666, -0.297366, 0.008805, -0.017612, -0.447446, -0.440218, 0.000000, 0.000000]]
fourier: [[6.664052, 6.917316, 6.954782, 8.162660, 11.240150], [8.997044, 9.022870, 10.293387, 14.622402, 48.190780], [4.261385, 4.374769, 4.383317, 5.051670, 7.212040], [2.921937, 2.938917, 3.389043, 4.564225, 5.711970], [0.712476, 0.721741, 0.743987, 0.946687, 27.039761], [4.836974, 5.215362, 5.796796, 8.116611, 26.005548], [10.561490, 10.682053, 10.750055, 12.451047, 17.496194], [14.760591, 14.907049, 17.268631, 24.197219, 30.382656]]
### 10
mean: [-0.410698]
std: [0.779869]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.320145, 11.571655, 13.557074, 18.756100, 36.962801]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
mean: [1.590471, 2.093371, 0.191375, -0.784491, 0.418152, -0.961893, 0.562739, 0.524216]
std: [1.518236, 1.660122, 1.310837, 0.861036, 0.566187, 1.354445, 1.076231, 1.044639]
pca: [[0.267074, 0.722846, 0.058622, -0.456553, 0.169563, -0.282330, -0.282769, -0.076599, 0.000000, 0.000000], [0.634372, -0.297612, 0.356557, -0.148253, 0.007699, -0.023905, 0.017848, 0.599114, 0.000000, 0.000000], [0.160889, 0.525651, 0.125823, 0.724316, 0.048493, 0.334095, -0.008557, 0.208076, 0.000000, 0.000000], [0.016953, 0.268027, -0.481491, -0.244559, -0.145828, 0.117288, 0.703125, 0.326838, 0.000000, 0.000000], [-0.085058, -0.035407, 0.278952, -0.210096, 0.759262, 0.435436, 0.286405, -0.146445, 0.000000, 0.000000], [-0.557954, 0.086508, 0.056863, -0.266764, -0.086961, 0.342335, -0.409227, 0.560878, 0.000000, 0.000000], [0.409573, -0.070316, -0.291099, -0.202695, -0.253097, 0.683169, -0.276770, -0.306763, 0.000000, 0.000000], [-0.117358, 0.164594, 0.675262, -0.169553, -0.547241, 0.144312, 0.314911, -0.234397, 0.000000, 0.000000]]
fourier: [[24.508263, 25.624791, 30.584118, 31.970650, 143.142344], [25.756883, 29.955172, 31.524537, 34.920909, 188.403377], [19.844551, 19.982805, 20.612587, 21.014267, 21.865905], [13.966320, 14.722548, 16.816986, 17.056931, 70.604195], [8.351721, 9.103944, 9.278668, 12.394966, 37.633677], [19.520246, 22.643605, 25.041555, 29.750725, 86.570398], [17.365157, 17.365584, 20.947879, 23.519443, 50.646532], [15.538754, 15.554377, 17.777506, 21.053794, 47.179472]]
### 2
mean: [1.091408, -2.216883, 0.547470, 0.609471, -0.105874, 0.318451, 0.478155, -0.269788]
std: [0.803954, 1.109468, 1.033943, 0.977208, 0.725605, 0.557970, 0.772487, 0.906570]
pca: [[-0.230829, -0.460506, 0.111912, 0.656719, 0.340750, -0.085013, -0.367480, 0.180192, 0.000000, 0.000000], [-0.291706, 0.697779, -0.188454, 0.360048, -0.114514, 0.383312, -0.165256, 0.274794, 0.000000, 0.000000], [0.536675, 0.009789, -0.072903, 0.434286, -0.500320, -0.005695, -0.273418, -0.439153, 0.000000, 0.000000], [0.478014, -0.040443, 0.480861, 0.009915, -0.188553, 0.131475, 0.050174, 0.695116, 0.000000, 0.000000], [0.013223, 0.359314, 0.705303, 0.209932, 0.328166, -0.002754, 0.236912, -0.406653, 0.000000, 0.000000], [-0.105572, -0.371908, -0.070616, 0.236488, -0.146839, 0.630365, 0.599575, -0.105898, 0.000000, 0.000000], [0.396775, -0.018347, -0.126793, -0.228385, 0.541812, 0.578418, -0.362852, -0.119194, 0.000000, 0.000000], [0.419948, 0.177622, -0.443738, 0.313410, 0.402602, -0.310791, 0.461623, 0.158711, 0.000000, 0.000000]]
fourier: [[11.971643, 12.421448, 13.583964, 14.725463, 98.226764], [16.852234, 18.174751, 18.226807, 20.384032, 199.519452], [15.396980, 18.664137, 19.167087, 23.432424, 49.272321], [16.300412, 16.521815, 19.582583, 22.491070, 54.852365], [10.478767, 10.921322, 12.969710, 12.994624, 15.244793], [7.302026, 7.962554, 9.115173, 10.677154, 28.660601], [11.714445, 12.129139, 12.419074, 18.223398, 43.033962], [12.784948, 13.766086, 17.851782, 20.102633, 24.280952]]
### 4
mean: [-0.492741, 0.116784, 0.052527, 0.339177, 0.383282, 0.123705, -0.223392, -0.173537]
std: [0.342626, 1.059592, 0.313701, 0.990496, 1.432485, 0.214749, 0.411060, 0.244420]
pca: [[-0.081312, 0.692480, -0.289606, 0.359843, -0.021345, -0.052768, -0.511635, 0.188391, 0.000000, 0.000000], [0.498132, -0.390858, -0.088624, 0.075745, -0.034720, 0.413265, -0.346436, 0.541749, 0.000000, 0.000000], [-0.137628, -0.171908, 0.412091, 0.230637, 0.677109, 0.114582, -0.424104, -0.277531, 0.000000, 0.000000], [0.468004, 0.223420, -0.289225, 0.230311, 0.565532, 0.041164, 0.522248, -0.009840, 0.000000, 0.000000], [0.680774, 0.068395, 0.319884, 0.084992, -0.249184, -0.461455, -0.199617, -0.327779, 0.000000, 0.000000], [-0.091936, -0.082121, 0.190010, 0.774119, -0.378302, 0.333511, 0.261655, -0.163200, 0.000000, 0.000000], [0.161019, 0.508356, 0.426164, -0.372395, -0.071142, 0.614590, 0.065347, -0.091109, 0.000000, 0.000000], [-0.097218, 0.135590, 0.578583, 0.115657, 0.098840, -0.331230, 0.230270, 0.671954, 0.000000, 0.000000]]
fourier: [[4.760493, 5.171209, 5.656697, 6.471221, 44.346735], [16.018917, 16.277287, 18.687459, 19.614329, 25.719783], [4.727413, 4.876527, 5.590261, 6.517969, 6.937263], [15.168395, 17.024688, 21.423432, 22.459758, 30.525917], [23.476994, 23.662729, 29.282655, 33.211200, 34.495395], [3.079139, 3.282910, 4.420768, 4.663713, 11.133493], [6.229875, 6.730075, 6.952696, 8.674502, 20.105280], [4.360105, 4.478304, 4.820282, 5.497430, 15.618369]]
### 6
mean: [0.400249, 0.777698, -0.022385, -0.574062, -0.027227, 0.124439, -0.076720, 0.012584]
std: [0.818532, 1.192410, 0.761263, 0.421291, 0.266329, 0.219229, 0.550193, 0.304663]
pca: [[0.446606, 0.064497, 0.689660, -0.348622, -0.110143, -0.240905, 0.111823, -0.341386, 0.000000, 0.000000], [0.650962, 0.277090, -0.292770, 0.141931, -0.030965, 0.492429, -0.284484, -0.263124, 0.000000, 0.000000], [-0.415169, 0.406584, 0.357743, 0.280857, -0.543463, 0.166553, -0.352969, -0.088229, 0.000000, 0.000000], [-0.228775, -0.522722, 0.133591, -0.461400, -0.032554, 0.622299, -0.184501, -0.146051, 0.000000, 0.000000], [-0.143959, 0.423588, 0.030039, -0.426549, 0.526887, -0.127055, -0.554404, 0.126040, 0.000000, 0.000000], [-0.118699, 0.041759, 0.418716, 0.484375, 0.635938, 0.318607, 0.208190, -0.157969, 0.000000, 0.000000], [0.300331, -0.013411, 0.320197, 0.022724, -0.072397, 0.240910, -0.016412, 0.861992, 0.000000, 0.000000], [-0.164548, 0.546958, -0.118645, -0.386611, -0.056821, 0.329837, 0.630048, 0.035145, 0.000000, 0.000000]]
fourier: [[12.403011, 12.437805, 14.653527, 19.725093, 36.022392], [17.662478, 17.932905, 20.678403, 28.864424, 69.992832], [10.972736, 11.000624, 11.597087, 13.160696, 18.289114], [6.167749, 6.479264, 7.131757, 10.178017, 51.665587], [3.854263, 3.869234, 4.132400, 4.679599, 6.310023], [3.148434, 3.361581, 4.122992, 5.236877, 11.199509], [8.144057, 8.268376, 8.351590, 9.678273, 13.264963], [4.461881, 4.513825, 4.712671, 5.210871, 7.241787]]
### 8
mean: [0.074045, 0.535453, 0.043307, -0.063466, -0.300442, 0.288951, 0.030944, 0.337585]
std: [0.465154, 0.602405, 0.297038, 0.191388, 0.047195, 0.337499, 0.721824, 0.998742]
pca: [[0.304602, 0.018370, -0.658340, -0.078815, -0.143860, -0.004575, 0.668079, -0.014530, 0.000000, 0.000000], [0.393942, 0.380191, 0.275010, 0.672044, -0.076721, -0.230592, 0.135393, -0.309192, 0.000000, 0.000000], [0.194257, -0.145140, 0.658902, -0.337347, -0.149069, 0.347193, 0.493371, -0.084045, 0.000000, 0.000000], [-0.122985, -0.426301, 0.084343, 0.046800, 0.693193, -0.407831, 0.297650, -0.241659, 0.000000, 0.000000], [-0.009948, 0.515115, -0.116036, -0.090670, 0.583018, 0.558972, -0.010643, -0.245763, 0.000000, 0.000000], [0.219194, -0.500874, -0.067638, 0.538520, 0.146125, 0.527629, -0.047177, 0.323310, 0.000000, 0.000000], [0.472581, 0.244911, 0.135182, -0.198745, 0.330665, -0.262269, -0.027961, 0.692825, 0.000000, 0.000000], [0.653979, -0.275897, -0.115666, -0.297366, 0.008805, -0.017612, -0.447446, -0.440218, 0.000000, 0.000000]]
fourier: [[6.664052, 6.917316, 6.954782, 8.162660, 11.240150], [8.997044, 9.022870, 10.293387, 14.622402, 48.190780], [4.261385, 4.374769, 4.383317, 5.051670, 7.212040], [2.921937, 2.938917, 3.389043, 4.564225, 5.711970], [0.712476, 0.721741, 0.743987, 0.946687, 27.039761], [4.836974, 5.215362, 5.796796, 8.116611, 26.005548], [10.561490, 10.682053, 10.750055, 12.451047, 17.496194], [14.760591, 14.907049, 17.268631, 24.197219, 30.382656]]
### 10
mean: [-0.410698]
std: [0.779869]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.320145, 11.571655, 13.557074, 18.756100, 36.962801]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 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": [[0.380455, 0.36291, -0.098801, 0.404817, -0.251038], [0.024922, 0.084538, 0.321636, 0.196065, 0.674787], [-0.229594, 0.265015, -0.256387, 0.427726, -0.028815], [0.304135, 0.170799, -0.349088, -0.05316, -0.076038], [0.054198, -0.211518, 0.247189, 0.098111, -0.189146], [-0.010954, -0.15067, 0.110921, -0.212388, -0.64232], [0.2323, 0.182399, -0.152608, -0.005745, 0.463384], [-0.204455, 0.103805, 0.450728, 0.112424, -0.350079]], "network.0.bias": [0.103603, -0.01624, -0.351955, -0.537219, 0.242673, 0.34224, -0.299125, -0.161351], "network.2.weight": [[0.309776, 0.070855, -0.133739, -0.294778, 0.444354, -0.351415, -0.306837, 0.464112], [-0.157941, -0.559346, -0.286203, -0.068086, 0.156524, -0.002463, 0.089594, -0.343922], [-0.234795, 0.490652, -0.109434, 0.099679, 0.114363, 0.046848, 0.15047, -0.382945], [0.046625, 0.4057, -0.241518, 0.285621, -0.279451, 0.078224, 0.231108, -0.29241], [0.281693, -0.101887, -0.645803, 0.083409, -0.365601, -0.131221, 0.023838, -0.361748], [0.008853, -0.029194, 0.184536, 0.172476, 0.397633, -0.343311, 0.115533, 0.494604], [-0.25311, 0.183167, 0.087267, -0.182254, -0.466384, 0.3073, 0.491641, 0.112173], [-0.360728, 0.405786, -0.083963, -0.200124, -0.353323, 0.23219, -0.057686, -0.276803]], "network.2.bias": [0.265977, -0.596652, 0.06794, -0.023084, 0.32487, -0.242648, 0.254392, -0.162161], "network.4.weight": [[-0.152157, 0.23673, 0.012741, -0.105176, 0.549492, 0.062295, -0.251663, -0.08417], [-0.170144, 0.440018, 0.304821, 0.214398, 0.240769, -0.311687, 0.367917, 0.357317], [0.318753, -0.149915, 0.181882, -0.334063, -0.236907, -0.282536, 0.028035, -0.157492], [-0.194703, -0.17075, 0.221031, 0.250861, 0.584508, -0.491603, 0.225598, 0.327302], [-0.618286, -0.146323, 0.344099, 0.422266, 0.307085, -0.283534, 0.240286, 0.348359], [0.082194, 0.000978, 0.370164, -0.424588, 0.170455, 0.115592, -0.082917, -0.077031], [-0.385368, 0.452025, -0.239327, 0.182707, 0.101696, -0.16091, 0.027183, 0.194203], [-0.00837, -0.339961, 0.08431, -0.220186, -0.167293, -0.047957, -0.032387, -0.195645]], "network.4.bias": [-0.234114, -0.142395, -0.055576, 0.171806, 0.431202, 0.079457, 0.207832, -0.024357], "network.6.weight": [[-0.088883, 0.234734, -0.181967, 0.395643, 0.230338, -0.175096, 0.137933, -0.124874], [0.22015, 0.426269, -0.107089, 0.35024, 0.49638, -0.027844, 0.006094, 0.203198], [-0.008812, -0.233884, 0.221884, 0.038716, -0.463993, 0.033443, -0.530817, -0.119437], [0.158454, -0.154593, -0.21117, -0.385142, -0.028882, 0.008777, 0.195697, 0.034617], [-0.279707, 0.119949, -0.296708, -0.081992, -0.281772, 0.044103, -0.266933, -0.144001], [-0.258207, -0.374229, 0.253041, 0.090656, 0.056993, -0.055363, -0.321394, -0.351618], [0.055514, 0.108063, -0.032552, 0.216923, 0.237039, -0.051658, 0.096185, -0.154479], [-0.13538, 0.198436, -0.379469, -0.025373, -0.3858, 0.205801, -0.371691, 0.154995]], "network.6.bias": [0.005365, 0.20029, 0.294219, -0.285619, 0.116021, 0.10002, -0.356976, 0.191378], "network.8.weight": [[0.288598, 0.037305, -0.266761, 0.192957, -0.228332, 0.103248, 0.426566, 0.203847], [0.082068, 0.402743, -0.321332, 0.196776, -0.078589, 0.090695, 0.047715, 0.07049], [-0.0623, 0.244176, 0.327612, -0.001349, -0.437854, -0.4666, 0.002077, -0.161835], [-0.044334, -0.038701, 0.236287, 0.082473, -0.151781, 0.288922, -0.09914, 0.191964], [0.296885, -0.198696, -0.195362, -0.481089, -0.188627, -0.056135, -0.130805, 0.017099], [0.072983, 0.217057, 0.155817, 0.042723, 0.065488, -0.036385, 0.163241, 0.212231], [0.235283, 0.267301, -0.089407, -0.194273, -0.500642, -0.129153, 0.345588, -0.162358], [0.321283, 0.364926, 0.096783, 0.218458, -0.350112, -0.226865, 0.609572, -0.321723]], "network.8.bias": [-0.04412, 0.272019, -0.108691, -0.068678, -0.28859, 0.065068, -0.266758, -0.046629], "network.10.weight": [[-0.05506, -0.241164, -0.095428, 0.058957, 0.109487, 0.083097, -0.284837, -0.471992]], "network.10.bias": [-0.063782]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6836808621883392, "train_acc": 0.58, "val_loss": 0.7365989685058594, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6422824561595917, "train_acc": 0.58, "val_loss": 0.6468231081962585, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5867810249328613, "train_acc": 0.51, "val_loss": 0.5867637395858765, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5479566752910614, "train_acc": 0.815, "val_loss": 0.5817307233810425, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5110007226467133, "train_acc": 0.755, "val_loss": 0.5014421343803406, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.43542636930942535, "train_acc": 0.805, "val_loss": 0.5535348057746887, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4148866832256317, "train_acc": 0.8, "val_loss": 0.5095504522323608, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.37583599984645844, "train_acc": 0.835, "val_loss": 0.4442439675331116, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.38231155276298523, "train_acc": 0.825, "val_loss": 0.43369022011756897, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.37000709772109985, "train_acc": 0.84, "val_loss": 0.4306618869304657, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.34964537620544434, "train_acc": 0.85, "val_loss": 0.4437023997306824, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.3642587810754776, "train_acc": 0.845, "val_loss": 0.4623792767524719, "val_acc": 0.8}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.7365989685058594, "final_val_loss": 0.6468231081962585, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5867637395858765, "final_val_loss": 0.4623792767524719, "initial_val_acc": 0.8, "final_val_acc": 0.8, "best_val_acc": 0.8, "best_epoch": 2}, "improvement": 0.34, "first_improvement_epoch": 1}}
|
9,727
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.66, "improved_accuracy": 0.82, "improvement": 0.15999999999999992, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1700, "learning_rate": 0.052745427797240625, "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: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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],
[
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[
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],
"network.0.bias": [
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"network.2.weight": [
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[
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[
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[
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[
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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.8.bias": [
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]
}
## Activation Signature
### 0
mean: [1.469948, 2.701122, -0.709225, -0.750134, -2.499944, -1.019156, -0.800756, -1.029953]
std: [1.415967, 1.717415, 0.502017, 1.662680, 3.000440, 1.899927, 1.733958, 2.401493]
pca: [[-0.194148, -0.270034, 0.413995, -0.017950, -0.355890, 0.700570, 0.216535, 0.230933, 0.000000, 0.000000], [-0.200510, -0.198907, 0.706877, -0.027179, 0.061433, -0.550406, -0.193313, 0.275184, 0.000000, 0.000000], [0.120593, -0.095915, 0.013931, -0.022170, 0.093405, -0.277456, 0.941028, 0.065824, 0.000000, 0.000000], [0.150821, -0.274901, -0.287789, -0.572924, 0.313113, 0.081436, -0.106465, 0.612055, 0.000000, 0.000000], [0.869580, -0.117453, 0.259856, -0.184770, -0.292425, -0.021391, -0.096153, -0.182087, 0.000000, 0.000000], [0.277400, 0.328199, 0.335981, 0.296261, 0.703381, 0.326406, 0.018338, 0.114279, 0.000000, 0.000000], [0.227262, -0.099847, -0.240909, 0.690112, -0.256917, -0.112146, -0.066675, 0.566624, 0.000000, 0.000000], [-0.006711, 0.819309, 0.086435, -0.268404, -0.341381, -0.055367, 0.069623, 0.353160, 0.000000, 0.000000]]
fourier: [[22.215555, 22.896091, 24.009546, 27.586489, 132.295349], [25.093967, 26.107138, 27.943541, 28.045981, 243.100953], [7.865328, 7.886438, 8.678588, 9.256195, 63.830290], [25.826914, 26.407225, 27.536357, 34.585336, 67.512010], [47.030611, 48.654109, 52.104836, 67.390586, 224.994934], [25.350817, 29.510396, 33.659840, 35.610345, 91.724064], [25.818841, 29.036890, 37.556286, 39.805937, 72.068014], [32.426749, 33.673143, 35.586302, 38.631722, 92.695718]]
### 2
mean: [0.776042, -0.009872, 0.642196, 0.602914, -0.827978, 0.424552, 1.019131, -0.712589]
std: [0.917205, 0.737548, 0.907970, 0.922775, 1.132615, 1.056285, 1.015591, 0.555274]
pca: [[-0.326086, -0.253856, 0.659443, 0.275611, -0.445128, -0.257276, 0.029105, -0.230698, 0.000000, 0.000000], [-0.303005, -0.190351, 0.000466, -0.281604, -0.379826, 0.786554, 0.050746, 0.164754, 0.000000, 0.000000], [-0.380381, 0.012754, 0.328103, -0.007259, 0.696421, 0.160450, 0.486441, -0.008472, 0.000000, 0.000000], [-0.375290, 0.154093, -0.250387, 0.585948, 0.163516, 0.282622, -0.453165, -0.342655, 0.000000, 0.000000], [0.434149, -0.542756, -0.205041, 0.360546, -0.002588, 0.208805, 0.426209, -0.345883, 0.000000, 0.000000], [0.343196, 0.726962, 0.269354, 0.242234, -0.220362, 0.287166, 0.290543, -0.084113, 0.000000, 0.000000], [-0.411935, 0.130900, -0.478159, 0.279777, -0.286690, -0.263865, 0.504135, 0.316694, 0.000000, 0.000000], [0.200908, -0.187679, 0.227068, 0.484153, 0.122867, 0.117620, -0.185400, 0.758383, 0.000000, 0.000000]]
fourier: [[13.310810, 13.679271, 15.333227, 19.218238, 69.843736], [11.930743, 12.012768, 12.252866, 13.130321, 13.217472], [14.386579, 15.358425, 15.728743, 15.787081, 57.797666], [12.831434, 12.934456, 14.353410, 16.995344, 54.262273], [17.201013, 17.298717, 19.621009, 21.325033, 74.518035], [15.956347, 18.977649, 19.273827, 21.124570, 38.209720], [14.636336, 15.696212, 16.771438, 18.034060, 91.721789], [9.524905, 9.710996, 10.633348, 10.810995, 64.133042]]
### 4
mean: [0.992669, 0.177678, -0.167393, 0.959106, -0.365890, 1.108466, 0.326457, 1.198059]
std: [1.292386, 1.138601, 1.240591, 1.237120, 0.540072, 1.218017, 1.003499, 1.640420]
pca: [[0.390648, -0.053768, 0.594698, -0.330430, 0.335891, -0.158342, -0.443766, -0.216404, 0.000000, 0.000000], [-0.334072, -0.362665, 0.334395, 0.230330, -0.399614, 0.420865, -0.488637, 0.128112, 0.000000, 0.000000], [-0.360016, -0.457491, 0.094171, 0.182460, 0.745406, 0.083086, 0.220932, 0.087099, 0.000000, 0.000000], [0.370887, -0.268402, 0.028857, -0.033594, -0.066427, -0.224289, 0.035087, 0.855858, 0.000000, 0.000000], [0.049485, 0.646465, -0.049555, 0.202400, 0.375009, 0.436039, -0.292483, 0.346273, 0.000000, 0.000000], [0.369535, -0.083481, 0.256669, -0.186433, -0.087729, 0.675985, 0.536912, -0.053960, 0.000000, 0.000000], [0.301412, 0.081349, 0.327932, 0.831813, -0.061183, -0.211486, 0.178357, -0.150996, 0.000000, 0.000000], [0.488637, -0.390822, -0.590711, 0.188966, 0.123983, 0.220860, -0.329593, -0.225967, 0.000000, 0.000000]]
fourier: [[21.159397, 21.358828, 22.665890, 26.473035, 89.340183], [17.034814, 17.636384, 18.915474, 19.158397, 21.181553], [19.141070, 19.411320, 19.812025, 20.727537, 23.021540], [18.496146, 19.785937, 21.429143, 24.990961, 86.319582], [9.087142, 9.487975, 10.253383, 10.346658, 32.930075], [18.933298, 19.160405, 21.365578, 24.935011, 99.761911], [15.146855, 15.230963, 16.519858, 17.601814, 29.381141], [24.950797, 25.829775, 28.977538, 32.626490, 107.825339]]
### 6
mean: [1.340871, 0.514003, -2.265626, -1.807301, 0.963082, -1.264133, 0.870410, 1.636159]
std: [2.079368, 0.920292, 3.805749, 3.722004, 1.634232, 2.653426, 1.750057, 2.318436]
pca: [[-0.289276, 0.316103, 0.142905, 0.142599, 0.741672, 0.408163, -0.036856, 0.240020, 0.000000, 0.000000], [-0.127135, -0.338130, 0.060635, -0.026333, -0.380585, 0.846291, -0.063871, -0.001307, 0.000000, 0.000000], [0.529727, -0.478455, 0.337038, 0.010378, 0.229884, -0.062019, -0.405442, 0.394576, 0.000000, 0.000000], [0.517701, 0.619167, 0.293328, -0.252418, -0.109874, 0.230761, -0.207337, -0.300913, 0.000000, 0.000000], [-0.227093, 0.276731, 0.532443, 0.030847, -0.423884, -0.136746, 0.181455, 0.596740, 0.000000, 0.000000], [0.369585, -0.100954, 0.252171, 0.541253, 0.075797, 0.098066, 0.666688, -0.191926, 0.000000, 0.000000], [-0.243646, 0.049582, 0.228136, 0.670771, -0.146752, -0.119961, -0.545977, -0.319657, 0.000000, 0.000000], [-0.322494, -0.290223, 0.614112, -0.413895, 0.182210, -0.131869, 0.108174, -0.448368, 0.000000, 0.000000]]
fourier: [[31.603706, 32.642430, 36.816976, 40.762189, 120.678377], [14.023428, 15.328470, 15.860770, 18.659763, 46.260243], [57.017636, 60.632403, 68.158350, 74.891474, 203.906374], [56.690345, 60.013842, 65.176027, 73.726891, 162.657060], [24.868372, 26.530986, 28.884912, 32.037783, 86.677352], [40.124185, 42.831608, 47.698729, 53.176179, 113.772018], [26.627105, 27.724820, 30.503193, 33.724145, 78.336920], [36.056954, 38.154880, 40.584889, 46.780814, 147.254315]]
### 8
mean: [-1.539946]
std: [3.518432]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[54.193465, 57.257025, 60.278406, 70.692497, 138.595138]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 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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"network.2.bias": [
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],
"network.4.bias": [
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"network.6.weight": [
[
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],
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [1.469948, 2.701122, -0.709225, -0.750134, -2.499944, -1.019156, -0.800756, -1.029953]
std: [1.415967, 1.717415, 0.502017, 1.662680, 3.000440, 1.899927, 1.733958, 2.401493]
pca: [[-0.194148, -0.270034, 0.413995, -0.017950, -0.355890, 0.700570, 0.216535, 0.230933, 0.000000, 0.000000], [-0.200510, -0.198907, 0.706877, -0.027179, 0.061433, -0.550406, -0.193313, 0.275184, 0.000000, 0.000000], [0.120593, -0.095915, 0.013931, -0.022170, 0.093405, -0.277456, 0.941028, 0.065824, 0.000000, 0.000000], [0.150821, -0.274901, -0.287789, -0.572924, 0.313113, 0.081436, -0.106465, 0.612055, 0.000000, 0.000000], [0.869580, -0.117453, 0.259856, -0.184770, -0.292425, -0.021391, -0.096153, -0.182087, 0.000000, 0.000000], [0.277400, 0.328199, 0.335981, 0.296261, 0.703381, 0.326406, 0.018338, 0.114279, 0.000000, 0.000000], [0.227262, -0.099847, -0.240909, 0.690112, -0.256917, -0.112146, -0.066675, 0.566624, 0.000000, 0.000000], [-0.006711, 0.819309, 0.086435, -0.268404, -0.341381, -0.055367, 0.069623, 0.353160, 0.000000, 0.000000]]
fourier: [[22.215555, 22.896091, 24.009546, 27.586489, 132.295349], [25.093967, 26.107138, 27.943541, 28.045981, 243.100953], [7.865328, 7.886438, 8.678588, 9.256195, 63.830290], [25.826914, 26.407225, 27.536357, 34.585336, 67.512010], [47.030611, 48.654109, 52.104836, 67.390586, 224.994934], [25.350817, 29.510396, 33.659840, 35.610345, 91.724064], [25.818841, 29.036890, 37.556286, 39.805937, 72.068014], [32.426749, 33.673143, 35.586302, 38.631722, 92.695718]]
### 2
mean: [0.776042, -0.009872, 0.642196, 0.602914, -0.827978, 0.424552, 1.019131, -0.712589]
std: [0.917205, 0.737548, 0.907970, 0.922775, 1.132615, 1.056285, 1.015591, 0.555274]
pca: [[-0.326086, -0.253856, 0.659443, 0.275611, -0.445128, -0.257276, 0.029105, -0.230698, 0.000000, 0.000000], [-0.303005, -0.190351, 0.000466, -0.281604, -0.379826, 0.786554, 0.050746, 0.164754, 0.000000, 0.000000], [-0.380381, 0.012754, 0.328103, -0.007259, 0.696421, 0.160450, 0.486441, -0.008472, 0.000000, 0.000000], [-0.375290, 0.154093, -0.250387, 0.585948, 0.163516, 0.282622, -0.453165, -0.342655, 0.000000, 0.000000], [0.434149, -0.542756, -0.205041, 0.360546, -0.002588, 0.208805, 0.426209, -0.345883, 0.000000, 0.000000], [0.343196, 0.726962, 0.269354, 0.242234, -0.220362, 0.287166, 0.290543, -0.084113, 0.000000, 0.000000], [-0.411935, 0.130900, -0.478159, 0.279777, -0.286690, -0.263865, 0.504135, 0.316694, 0.000000, 0.000000], [0.200908, -0.187679, 0.227068, 0.484153, 0.122867, 0.117620, -0.185400, 0.758383, 0.000000, 0.000000]]
fourier: [[13.310810, 13.679271, 15.333227, 19.218238, 69.843736], [11.930743, 12.012768, 12.252866, 13.130321, 13.217472], [14.386579, 15.358425, 15.728743, 15.787081, 57.797666], [12.831434, 12.934456, 14.353410, 16.995344, 54.262273], [17.201013, 17.298717, 19.621009, 21.325033, 74.518035], [15.956347, 18.977649, 19.273827, 21.124570, 38.209720], [14.636336, 15.696212, 16.771438, 18.034060, 91.721789], [9.524905, 9.710996, 10.633348, 10.810995, 64.133042]]
### 4
mean: [0.992669, 0.177678, -0.167393, 0.959106, -0.365890, 1.108466, 0.326457, 1.198059]
std: [1.292386, 1.138601, 1.240591, 1.237120, 0.540072, 1.218017, 1.003499, 1.640420]
pca: [[0.390648, -0.053768, 0.594698, -0.330430, 0.335891, -0.158342, -0.443766, -0.216404, 0.000000, 0.000000], [-0.334072, -0.362665, 0.334395, 0.230330, -0.399614, 0.420865, -0.488637, 0.128112, 0.000000, 0.000000], [-0.360016, -0.457491, 0.094171, 0.182460, 0.745406, 0.083086, 0.220932, 0.087099, 0.000000, 0.000000], [0.370887, -0.268402, 0.028857, -0.033594, -0.066427, -0.224289, 0.035087, 0.855858, 0.000000, 0.000000], [0.049485, 0.646465, -0.049555, 0.202400, 0.375009, 0.436039, -0.292483, 0.346273, 0.000000, 0.000000], [0.369535, -0.083481, 0.256669, -0.186433, -0.087729, 0.675985, 0.536912, -0.053960, 0.000000, 0.000000], [0.301412, 0.081349, 0.327932, 0.831813, -0.061183, -0.211486, 0.178357, -0.150996, 0.000000, 0.000000], [0.488637, -0.390822, -0.590711, 0.188966, 0.123983, 0.220860, -0.329593, -0.225967, 0.000000, 0.000000]]
fourier: [[21.159397, 21.358828, 22.665890, 26.473035, 89.340183], [17.034814, 17.636384, 18.915474, 19.158397, 21.181553], [19.141070, 19.411320, 19.812025, 20.727537, 23.021540], [18.496146, 19.785937, 21.429143, 24.990961, 86.319582], [9.087142, 9.487975, 10.253383, 10.346658, 32.930075], [18.933298, 19.160405, 21.365578, 24.935011, 99.761911], [15.146855, 15.230963, 16.519858, 17.601814, 29.381141], [24.950797, 25.829775, 28.977538, 32.626490, 107.825339]]
### 6
mean: [1.340871, 0.514003, -2.265626, -1.807301, 0.963082, -1.264133, 0.870410, 1.636159]
std: [2.079368, 0.920292, 3.805749, 3.722004, 1.634232, 2.653426, 1.750057, 2.318436]
pca: [[-0.289276, 0.316103, 0.142905, 0.142599, 0.741672, 0.408163, -0.036856, 0.240020, 0.000000, 0.000000], [-0.127135, -0.338130, 0.060635, -0.026333, -0.380585, 0.846291, -0.063871, -0.001307, 0.000000, 0.000000], [0.529727, -0.478455, 0.337038, 0.010378, 0.229884, -0.062019, -0.405442, 0.394576, 0.000000, 0.000000], [0.517701, 0.619167, 0.293328, -0.252418, -0.109874, 0.230761, -0.207337, -0.300913, 0.000000, 0.000000], [-0.227093, 0.276731, 0.532443, 0.030847, -0.423884, -0.136746, 0.181455, 0.596740, 0.000000, 0.000000], [0.369585, -0.100954, 0.252171, 0.541253, 0.075797, 0.098066, 0.666688, -0.191926, 0.000000, 0.000000], [-0.243646, 0.049582, 0.228136, 0.670771, -0.146752, -0.119961, -0.545977, -0.319657, 0.000000, 0.000000], [-0.322494, -0.290223, 0.614112, -0.413895, 0.182210, -0.131869, 0.108174, -0.448368, 0.000000, 0.000000]]
fourier: [[31.603706, 32.642430, 36.816976, 40.762189, 120.678377], [14.023428, 15.328470, 15.860770, 18.659763, 46.260243], [57.017636, 60.632403, 68.158350, 74.891474, 203.906374], [56.690345, 60.013842, 65.176027, 73.726891, 162.657060], [24.868372, 26.530986, 28.884912, 32.037783, 86.677352], [40.124185, 42.831608, 47.698729, 53.176179, 113.772018], [26.627105, 27.724820, 30.503193, 33.724145, 78.336920], [36.056954, 38.154880, 40.584889, 46.780814, 147.254315]]
### 8
mean: [-1.539946]
std: [3.518432]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[54.193465, 57.257025, 60.278406, 70.692497, 138.595138]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 0.6982061564922333, "train_acc": 0.545, "val_loss": 0.6796240210533142, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6751711666584015, "train_acc": 0.585, "val_loss": 0.655830979347229, "val_acc": 0.66}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6326968371868134, "train_acc": 0.655, "val_loss": 0.600996196269989, "val_acc": 0.66}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6524755358695984, "train_acc": 0.63, "val_loss": 0.6436129808425903, "val_acc": 0.6}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5813446938991547, "train_acc": 0.71, "val_loss": 0.5635514259338379, "val_acc": 0.64}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5368030667304993, "train_acc": 0.685, "val_loss": 0.5192272067070007, "val_acc": 0.64}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.45294880867004395, "train_acc": 0.805, "val_loss": 0.5040109157562256, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4473756104707718, "train_acc": 0.81, "val_loss": 0.4955320656299591, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3944641053676605, "train_acc": 0.83, "val_loss": 0.4582880437374115, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.34776049852371216, "train_acc": 0.855, "val_loss": 0.44798198342323303, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3016717880964279, "train_acc": 0.875, "val_loss": 0.4503493010997772, "val_acc": 0.76}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.28773918747901917, "train_acc": 0.895, "val_loss": 0.42792773246765137, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.2506944239139557, "train_acc": 0.885, "val_loss": 0.40098848938941956, "val_acc": 0.82}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.6796240210533142, "final_val_loss": 0.600996196269989, "initial_val_acc": 0.58, "final_val_acc": 0.66, "best_val_acc": 0.66}, "improved_stage": {"initial_val_loss": 0.6436129808425903, "final_val_loss": 0.40098848938941956, "initial_val_acc": 0.6, "final_val_acc": 0.82, "best_val_acc": 0.82, "best_epoch": 12}, "improvement": 0.15999999999999992, "first_improvement_epoch": 2}}
|
9,728
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.82, "improved_accuracy": 0.98, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8830, "learning_rate": 0.06272401184676614, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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],
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}
## Activation Signature
### 0
mean: [1.643181, -0.135741, 2.439868, -2.135103, -1.997665]
std: [2.043552, 1.861929, 2.165721, 1.269665, 1.419187]
pca: [[0.136960, 0.806845, -0.113418, 0.167558, 0.537871, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.455049, 0.290762, 0.809387, 0.130621, -0.190312, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.700280, -0.263786, 0.569611, -0.007617, 0.339867, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.415858, -0.170712, 0.073482, -0.670004, 0.586186, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.332931, -0.407104, -0.046602, 0.711266, 0.464060, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.521896, 32.960158, 34.366078, 36.435499, 147.886290], [28.247095, 30.607609, 32.207518, 32.986069, 33.814709], [33.031149, 34.266910, 35.085506, 36.351484, 219.588147], [19.663672, 21.059716, 24.902239, 25.422975, 192.159343], [21.482442, 24.778527, 25.431413, 29.089460, 179.789877]]
### 2
mean: [-1.227936, -1.114917, 1.389144, -1.464328, 2.630609]
std: [0.673246, 0.601400, 1.578877, 0.757403, 1.755632]
pca: [[-0.199002, -0.289104, 0.706405, -0.010904, -0.614564, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.248925, -0.125872, 0.551398, -0.127182, 0.775873, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.349841, 0.907811, 0.195710, 0.083866, -0.090303, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.332272, -0.185997, -0.088838, 0.917183, 0.076703, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.815868, 0.204595, 0.388275, 0.368032, 0.079337, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.263710, 11.306306, 11.338263, 12.749136, 110.514252], [9.314187, 9.341506, 9.570864, 9.826583, 100.342522], [24.752883, 25.305195, 26.057210, 28.140009, 125.022934], [11.147381, 11.389148, 11.891575, 13.497737, 131.789537], [25.182938, 26.287027, 26.394956, 34.275904, 236.754804]]
### 4
mean: [1.166405, 1.230650, 2.121643, 1.569971, -0.780463]
std: [1.513663, 1.297495, 1.215150, 0.992053, 0.383004]
pca: [[0.651232, -0.157252, -0.023803, 0.296803, 0.680081, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.461269, 0.662334, 0.209324, 0.210410, 0.510349, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.428104, 0.631673, -0.361620, 0.331144, -0.421060, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.409788, 0.266888, 0.776697, -0.370833, -0.141669, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.109222, -0.257578, 0.470734, 0.787694, -0.282262, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.098395, 26.692959, 27.244759, 27.355007, 104.976438], [19.645593, 21.687856, 21.889963, 23.002167, 110.758521], [17.486371, 17.632480, 18.512232, 23.435248, 190.947858], [14.048612, 15.815024, 16.813522, 19.889786, 141.297410], [5.496613, 5.677162, 6.169700, 6.706370, 70.241682]]
### 6
mean: [1.039264, -2.606822, 2.187288, 1.404026, -1.071740]
std: [1.045217, 1.433409, 2.331738, 1.272715, 0.476046]
pca: [[0.338641, -0.121285, -0.180363, 0.914549, 0.040998, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.430132, -0.553117, -0.402682, -0.019886, 0.588643, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.760806, 0.028669, 0.000435, -0.303509, 0.572917, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.325927, 0.775793, 0.004988, 0.202091, 0.501051, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.123508, -0.276903, 0.897380, 0.173914, 0.269320, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.656743, 18.710212, 19.298402, 19.493670, 93.533762], [20.864065, 21.141638, 23.714819, 29.073967, 234.614001], [38.690312, 39.974465, 43.240371, 45.517626, 196.855882], [18.860775, 20.062145, 22.069156, 24.258993, 126.362350], [6.710682, 7.031290, 7.492709, 8.888600, 96.456571]]
### 8
mean: [-1.766603]
std: [2.505114]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.653842, 47.487291, 48.139939, 49.177686, 158.994330]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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],
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}
## Activation Signature
### 0
mean: [1.643181, -0.135741, 2.439868, -2.135103, -1.997665]
std: [2.043552, 1.861929, 2.165721, 1.269665, 1.419187]
pca: [[0.136960, 0.806845, -0.113418, 0.167558, 0.537871, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.455049, 0.290762, 0.809387, 0.130621, -0.190312, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.700280, -0.263786, 0.569611, -0.007617, 0.339867, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.415858, -0.170712, 0.073482, -0.670004, 0.586186, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.332931, -0.407104, -0.046602, 0.711266, 0.464060, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.521896, 32.960158, 34.366078, 36.435499, 147.886290], [28.247095, 30.607609, 32.207518, 32.986069, 33.814709], [33.031149, 34.266910, 35.085506, 36.351484, 219.588147], [19.663672, 21.059716, 24.902239, 25.422975, 192.159343], [21.482442, 24.778527, 25.431413, 29.089460, 179.789877]]
### 2
mean: [-1.227936, -1.114917, 1.389144, -1.464328, 2.630609]
std: [0.673246, 0.601400, 1.578877, 0.757403, 1.755632]
pca: [[-0.199002, -0.289104, 0.706405, -0.010904, -0.614564, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.248925, -0.125872, 0.551398, -0.127182, 0.775873, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.349841, 0.907811, 0.195710, 0.083866, -0.090303, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.332272, -0.185997, -0.088838, 0.917183, 0.076703, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.815868, 0.204595, 0.388275, 0.368032, 0.079337, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.263710, 11.306306, 11.338263, 12.749136, 110.514252], [9.314187, 9.341506, 9.570864, 9.826583, 100.342522], [24.752883, 25.305195, 26.057210, 28.140009, 125.022934], [11.147381, 11.389148, 11.891575, 13.497737, 131.789537], [25.182938, 26.287027, 26.394956, 34.275904, 236.754804]]
### 4
mean: [1.166405, 1.230650, 2.121643, 1.569971, -0.780463]
std: [1.513663, 1.297495, 1.215150, 0.992053, 0.383004]
pca: [[0.651232, -0.157252, -0.023803, 0.296803, 0.680081, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.461269, 0.662334, 0.209324, 0.210410, 0.510349, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.428104, 0.631673, -0.361620, 0.331144, -0.421060, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.409788, 0.266888, 0.776697, -0.370833, -0.141669, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.109222, -0.257578, 0.470734, 0.787694, -0.282262, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.098395, 26.692959, 27.244759, 27.355007, 104.976438], [19.645593, 21.687856, 21.889963, 23.002167, 110.758521], [17.486371, 17.632480, 18.512232, 23.435248, 190.947858], [14.048612, 15.815024, 16.813522, 19.889786, 141.297410], [5.496613, 5.677162, 6.169700, 6.706370, 70.241682]]
### 6
mean: [1.039264, -2.606822, 2.187288, 1.404026, -1.071740]
std: [1.045217, 1.433409, 2.331738, 1.272715, 0.476046]
pca: [[0.338641, -0.121285, -0.180363, 0.914549, 0.040998, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.430132, -0.553117, -0.402682, -0.019886, 0.588643, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.760806, 0.028669, 0.000435, -0.303509, 0.572917, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.325927, 0.775793, 0.004988, 0.202091, 0.501051, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.123508, -0.276903, 0.897380, 0.173914, 0.269320, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.656743, 18.710212, 19.298402, 19.493670, 93.533762], [20.864065, 21.141638, 23.714819, 29.073967, 234.614001], [38.690312, 39.974465, 43.240371, 45.517626, 196.855882], [18.860775, 20.062145, 22.069156, 24.258993, 126.362350], [6.710682, 7.031290, 7.492709, 8.888600, 96.456571]]
### 8
mean: [-1.766603]
std: [2.505114]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.653842, 47.487291, 48.139939, 49.177686, 158.994330]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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11.306305660383345, 11.338262960482819, 12.749136449562082, 110.51425161957741]}, "1": {"mean": -1.1149168014526367, "std": 0.6013996005058289, "pca": [-0.24892453849315643, -0.12587179243564606, 0.5513977408409119, -0.12718158960342407, 0.775872528553009, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [9.314187070135802, 9.34150629892355, 9.570863901573317, 9.826583056031305, 100.34252160787582]}, "2": {"mean": 1.3891438245773315, "std": 1.5788768529891968, "pca": [-0.34984099864959717, 0.9078110456466675, 0.19570952653884888, 0.08386629819869995, -0.09030316770076752, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [24.75288303873229, 25.30519504362562, 26.057210133940327, 28.140009016702773, 125.02293440699577]}, "3": {"mean": -1.4643281698226929, "std": 0.7574029564857483, "pca": [-0.33227232098579407, -0.18599705398082733, -0.08883849531412125, 0.917182981967926, 0.07670283317565918, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [11.147380589006621, 11.389147519854651, 11.891574695638548, 13.497737422372333, 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0.0], "fourier": [38.690311732968986, 39.974465307535276, 43.24037107314164, 45.517625758103115, 196.85588239133358]}, "3": {"mean": 1.4040261507034302, "std": 1.2727150917053223, "pca": [-0.3259269893169403, 0.7757928371429443, 0.0049878633581101894, 0.20209062099456787, 0.5010505318641663, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [18.860775484453278, 20.062145104176302, 22.069156492322808, 24.25899288477674, 126.3623495399952]}, "4": {"mean": -1.071739673614502, "std": 0.4760461747646332, "pca": [-0.12350793927907944, -0.2769034504890442, 0.8973801136016846, 0.1739140748977661, 0.269319623708725, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [6.710681810643037, 7.031290303072353, 7.492708994468424, 8.88859968258162, 96.45657059550285]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -1.7666034698486328, "std": 2.5051143169403076, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [36.6538420526816, 47.48729118630968, 48.139938703938775, 49.17768559985162, 158.99432988464832]}}, "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": [[0.713265, 0.502787, 0.144565, -0.082204, -0.092484], [0.167325, -0.34895, 0.649687, -0.510734, -0.03794], [-0.4566, 0.057922, 0.352026, 0.767841, 0.418316], [0.053549, -0.513148, -0.074506, -0.264319, -0.07043], [-0.440584, -0.204549, -0.026424, -0.259374, -0.241667]], "network.0.bias": [-0.172264, 0.076808, 0.004677, -0.457357, -0.167184], "network.2.weight": [[-0.172864, 0.15299, -0.282497, 0.144879, -0.107124], [-0.035477, 0.055957, -0.289057, 0.398365, -0.034347], [0.781269, -0.21846, -0.132023, 0.168306, -0.409255], [-0.060685, -0.206882, -0.371347, 0.002671, -0.131846], [-0.04418, 0.589227, 0.84727, 0.054274, -0.134422]], "network.2.bias": [-0.315208, -0.361466, 0.520501, -0.302492, 0.220523], "network.4.weight": [[-0.445376, -0.420252, -0.639442, -0.168406, 0.511854], [-0.252415, 0.041214, 0.799412, 0.102153, -0.088762], [-0.164674, -0.424574, 0.041916, 0.269599, 0.701746], [0.335063, 0.223691, -0.172293, -0.053432, 0.50388], [-0.337366, 0.25907, -0.071333, 0.116107, -0.22695]], "network.4.bias": [0.720604, 0.337841, 0.216187, 0.486947, -0.082818], "network.6.weight": [[0.304428, -0.314711, -0.02685, 0.442336, 0.048433], [-0.212791, 0.00381, -0.602561, -0.512512, -0.072292], [0.661948, -0.637975, 0.533161, 0.460671, -0.286366], [-0.645224, 0.747391, 0.250602, 0.222274, 0.098749], [0.211194, 0.005139, -0.276026, -0.345626, -0.260074]], "network.6.bias": [0.36005, -0.225386, 0.187271, 0.506078, -0.246265], "network.8.weight": [[-0.514621, -0.170559, -0.818105, 0.450513, 0.067752]], "network.8.bias": [0.177374]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6777820587158203, "train_acc": 0.565, "val_loss": 0.6443882584571838, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5934829413890839, "train_acc": 0.6, "val_loss": 0.49691468477249146, "val_acc": 0.82}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.45715489983558655, "train_acc": 0.83, "val_loss": 0.3078542649745941, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.30534660816192627, "train_acc": 0.925, "val_loss": 0.17740760743618011, "val_acc": 0.98}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.22460511326789856, "train_acc": 0.925, "val_loss": 0.12634225189685822, "val_acc": 0.98}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2716699093580246, "train_acc": 0.93, "val_loss": 0.11763301491737366, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2237236648797989, "train_acc": 0.935, "val_loss": 0.10640250891447067, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2367122918367386, "train_acc": 0.94, "val_loss": 0.10917101055383682, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.22677388787269592, "train_acc": 0.94, "val_loss": 0.11918191611766815, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.22817395627498627, "train_acc": 0.94, "val_loss": 0.13152436912059784, "val_acc": 0.98}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6443882584571838, "final_val_loss": 0.49691468477249146, "initial_val_acc": 0.52, "final_val_acc": 0.82, "best_val_acc": 0.82}, "improved_stage": {"initial_val_loss": 0.3078542649745941, "final_val_loss": 0.13152436912059784, "initial_val_acc": 0.92, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 3}, "improvement": 0.16000000000000003, "first_improvement_epoch": 1}}
|
9,729
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.4, "improved_accuracy": 0.94, "improvement": 0.5399999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9026, "learning_rate": 0.059219394901208186, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.536307,
-0.047637,
0.270939,
0.267472,
0.973321
],
[
0.397722,
-0.517196,
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}
## Activation Signature
### 0
mean: [3.554154, -0.312127, 1.668307, 1.302933, 0.370021]
std: [2.570844, 1.861525, 1.364211, 2.018875, 2.387149]
pca: [[-0.521891, 0.739561, 0.061955, -0.280383, -0.313412, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.364427, 0.154675, 0.859143, 0.202542, -0.253217, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.315932, 0.247657, -0.005557, 0.844886, 0.353540, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.437844, 0.500251, -0.006399, -0.273780, 0.695015, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.550729, 0.342842, -0.507901, 0.302614, -0.479185, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.023555, 51.944610, 52.774376, 55.415345, 319.873892], [28.091427, 29.572478, 34.177689, 34.911177, 37.288082], [21.844276, 23.313907, 28.869251, 31.101954, 150.147621], [30.233310, 30.804450, 31.632530, 36.205969, 117.263919], [34.562736, 36.499409, 39.337809, 40.254204, 43.247869]]
### 2
mean: [0.901144, 2.847063, -1.776083, 1.110245, 2.228805]
std: [2.225168, 1.862506, 1.049766, 2.131939, 3.303828]
pca: [[0.474790, 0.070864, 0.519912, 0.695719, -0.123365, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.273940, 0.762780, 0.498555, -0.226416, 0.208092, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.071901, -0.551643, 0.667137, -0.495016, -0.020209, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.456729, -0.030578, -0.103611, -0.075139, 0.879820, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.696965, 0.328482, -0.159148, -0.462627, -0.408641, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.545891, 38.591587, 43.742008, 49.262421, 81.102919], [30.173661, 30.301193, 30.930093, 32.206093, 256.235674], [16.413621, 17.117562, 18.203085, 20.674927, 159.847428], [35.898007, 37.274591, 40.180002, 47.582921, 99.922069], [51.201449, 52.778627, 67.974927, 74.337108, 200.592457]]
### 4
mean: [2.535801, 2.795974, -1.987906, 0.851347, 2.997653]
std: [5.712404, 5.383551, 2.050771, 2.237158, 5.445580]
pca: [[0.571668, -0.067161, -0.261903, -0.559873, 0.535383, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.538583, 0.170813, -0.554890, 0.563028, -0.236320, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.200871, -0.530690, -0.106259, 0.514544, 0.634013, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.214082, 0.826878, -0.004043, 0.157906, 0.495470, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.544926, 0.030859, 0.782430, 0.282581, 0.100276, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[87.246036, 89.597973, 109.395880, 140.054906, 228.222079], [80.369408, 84.521571, 104.475129, 132.164363, 251.637640], [28.991644, 30.656496, 42.385566, 49.681749, 178.911517], [35.441755, 35.999768, 38.694636, 51.898923, 76.621247], [82.045024, 83.817259, 104.665122, 134.258013, 269.788777]]
### 6
mean: [-1.493067, -1.984688, -5.552031, 7.878119, -2.568852]
std: [0.575115, 2.423308, 5.218280, 12.652022, 2.065156]
pca: [[-0.032554, 0.330147, 0.903168, -0.229020, 0.147586, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.172717, 0.068694, -0.102001, 0.317037, 0.924410, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.368421, 0.700422, -0.388641, -0.471836, -0.001946, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.901690, 0.389387, -0.134971, -0.015394, 0.129923, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.142589, 0.494035, 0.068007, 0.790045, -0.326805, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.812184, 10.496764, 11.208811, 12.298802, 134.376006], [32.590673, 34.545373, 47.803010, 61.087461, 178.621895], [67.707586, 71.841519, 104.658523, 131.372269, 499.682802], [175.111196, 187.127752, 246.074756, 317.735674, 709.030730], [24.984968, 31.807151, 41.505196, 51.247490, 231.196675]]
### 8
mean: [9.112048, 8.492222, -3.342239, -1.151447, -5.958440]
std: [13.081564, 12.429107, 4.244595, 2.967766, 8.176896]
pca: [[0.638851, 0.001962, 0.172000, 0.239393, 0.710614, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.606987, 0.120761, 0.025135, 0.387652, -0.682699, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.207289, 0.948771, 0.030345, 0.211946, 0.104990, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.144934, -0.050003, 0.982540, -0.006468, -0.105204, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.399327, -0.287656, -0.058985, 0.864554, 0.082818, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[174.010622, 191.352014, 257.341074, 329.475158, 820.084368], [165.331658, 181.808122, 244.505899, 313.042227, 764.299883], [56.461486, 62.088274, 83.499838, 106.905295, 300.801553], [39.477147, 43.411325, 58.382016, 74.746813, 103.630252], [108.768852, 119.608433, 160.856223, 205.945091, 536.259619]]
### 10
mean: [-4.751729]
std: [8.651031]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[116.494973, 126.030221, 170.668854, 217.395077, 427.655648]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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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.10.weight": [
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [3.554154, -0.312127, 1.668307, 1.302933, 0.370021]
std: [2.570844, 1.861525, 1.364211, 2.018875, 2.387149]
pca: [[-0.521891, 0.739561, 0.061955, -0.280383, -0.313412, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.364427, 0.154675, 0.859143, 0.202542, -0.253217, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.315932, 0.247657, -0.005557, 0.844886, 0.353540, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.437844, 0.500251, -0.006399, -0.273780, 0.695015, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.550729, 0.342842, -0.507901, 0.302614, -0.479185, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.023555, 51.944610, 52.774376, 55.415345, 319.873892], [28.091427, 29.572478, 34.177689, 34.911177, 37.288082], [21.844276, 23.313907, 28.869251, 31.101954, 150.147621], [30.233310, 30.804450, 31.632530, 36.205969, 117.263919], [34.562736, 36.499409, 39.337809, 40.254204, 43.247869]]
### 2
mean: [0.901144, 2.847063, -1.776083, 1.110245, 2.228805]
std: [2.225168, 1.862506, 1.049766, 2.131939, 3.303828]
pca: [[0.474790, 0.070864, 0.519912, 0.695719, -0.123365, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.273940, 0.762780, 0.498555, -0.226416, 0.208092, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.071901, -0.551643, 0.667137, -0.495016, -0.020209, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.456729, -0.030578, -0.103611, -0.075139, 0.879820, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.696965, 0.328482, -0.159148, -0.462627, -0.408641, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.545891, 38.591587, 43.742008, 49.262421, 81.102919], [30.173661, 30.301193, 30.930093, 32.206093, 256.235674], [16.413621, 17.117562, 18.203085, 20.674927, 159.847428], [35.898007, 37.274591, 40.180002, 47.582921, 99.922069], [51.201449, 52.778627, 67.974927, 74.337108, 200.592457]]
### 4
mean: [2.535801, 2.795974, -1.987906, 0.851347, 2.997653]
std: [5.712404, 5.383551, 2.050771, 2.237158, 5.445580]
pca: [[0.571668, -0.067161, -0.261903, -0.559873, 0.535383, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.538583, 0.170813, -0.554890, 0.563028, -0.236320, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.200871, -0.530690, -0.106259, 0.514544, 0.634013, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.214082, 0.826878, -0.004043, 0.157906, 0.495470, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.544926, 0.030859, 0.782430, 0.282581, 0.100276, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[87.246036, 89.597973, 109.395880, 140.054906, 228.222079], [80.369408, 84.521571, 104.475129, 132.164363, 251.637640], [28.991644, 30.656496, 42.385566, 49.681749, 178.911517], [35.441755, 35.999768, 38.694636, 51.898923, 76.621247], [82.045024, 83.817259, 104.665122, 134.258013, 269.788777]]
### 6
mean: [-1.493067, -1.984688, -5.552031, 7.878119, -2.568852]
std: [0.575115, 2.423308, 5.218280, 12.652022, 2.065156]
pca: [[-0.032554, 0.330147, 0.903168, -0.229020, 0.147586, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.172717, 0.068694, -0.102001, 0.317037, 0.924410, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.368421, 0.700422, -0.388641, -0.471836, -0.001946, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.901690, 0.389387, -0.134971, -0.015394, 0.129923, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.142589, 0.494035, 0.068007, 0.790045, -0.326805, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.812184, 10.496764, 11.208811, 12.298802, 134.376006], [32.590673, 34.545373, 47.803010, 61.087461, 178.621895], [67.707586, 71.841519, 104.658523, 131.372269, 499.682802], [175.111196, 187.127752, 246.074756, 317.735674, 709.030730], [24.984968, 31.807151, 41.505196, 51.247490, 231.196675]]
### 8
mean: [9.112048, 8.492222, -3.342239, -1.151447, -5.958440]
std: [13.081564, 12.429107, 4.244595, 2.967766, 8.176896]
pca: [[0.638851, 0.001962, 0.172000, 0.239393, 0.710614, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.606987, 0.120761, 0.025135, 0.387652, -0.682699, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.207289, 0.948771, 0.030345, 0.211946, 0.104990, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.144934, -0.050003, 0.982540, -0.006468, -0.105204, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.399327, -0.287656, -0.058985, 0.864554, 0.082818, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[174.010622, 191.352014, 257.341074, 329.475158, 820.084368], [165.331658, 181.808122, 244.505899, 313.042227, 764.299883], [56.461486, 62.088274, 83.499838, 106.905295, 300.801553], [39.477147, 43.411325, 58.382016, 74.746813, 103.630252], [108.768852, 119.608433, 160.856223, 205.945091, 536.259619]]
### 10
mean: [-4.751729]
std: [8.651031]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[116.494973, 126.030221, 170.668854, 217.395077, 427.655648]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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"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": [[0.536307, -0.047637, 0.270939, 0.267472, 0.973321], [0.397722, -0.517196, -0.030763, 0.518039, -0.945337], [0.250549, 0.034143, -0.033229, 0.019257, 0.640638], [0.196944, 0.161815, 0.32367, 0.378535, -1.025937], [-0.152366, 0.563873, 0.27882, 0.190984, -1.12988]], "network.0.bias": [0.633586, 0.254648, 0.532293, 0.540448, -0.066331], "network.2.weight": [[0.528872, -0.238683, 0.114261, -0.391688, -0.495802], [0.06168, 0.815567, 0.052307, 0.799831, 0.294452], [-0.192084, -0.286151, -0.081868, -0.326085, -0.378996], [0.425467, -0.560448, 0.175079, -0.283183, -0.531125], [0.728235, -0.687645, 0.516825, -0.046504, -0.820421]], "network.2.bias": [0.170277, 0.42169, 0.169511, 0.683118, 0.153265], "network.4.weight": [[0.885623, -0.529752, -0.113647, 0.612813, 0.804405], [0.335313, -0.3818, 0.29497, 0.859971, 0.938211], [-0.18003, -0.037973, -0.067866, 0.016283, -0.588402], [-0.75173, 0.517051, -0.112472, -0.473763, 0.224194], [0.918693, -0.386477, -0.363416, 0.987958, 0.528921]], "network.4.bias": [-0.049399, -0.173502, -0.187989, 0.511512, 0.103134], "network.6.weight": [[-0.008096, 0.303132, -0.013141, -0.379578, -0.454765], [-0.218242, -0.273738, -0.29065, -0.040906, -0.012662], [0.045217, -0.74458, -0.274294, -0.726222, -0.508748], [1.036182, 0.663767, 0.124589, -0.50402, 0.773923], [-0.213481, -0.370229, -0.390648, -0.482555, 0.07493]], "network.6.bias": [-0.320681, -0.161446, -0.195905, -0.117553, -0.094772], "network.8.weight": [[0.258755, -0.054276, 0.125131, 1.075088, 0.313192], [0.274884, -0.191799, -0.543573, 1.021467, -0.298519], [0.320088, -0.223022, -0.322328, -0.348835, 0.171724], [0.291438, 0.382405, 0.380234, -0.243901, 0.118128], [-0.063995, -0.276869, -0.245847, -0.672006, 0.077568]], "network.8.bias": [-0.072889, -0.234608, -0.361989, 0.932306, -0.21721], "network.10.weight": [[-0.221553, -0.446074, -0.058825, 0.742366, 0.150215]], "network.10.bias": [0.751476]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6769514977931976, "train_acc": 0.495, "val_loss": 0.789787769317627, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6455733180046082, "train_acc": 0.6, "val_loss": 0.7077375650405884, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5689080208539963, "train_acc": 0.525, "val_loss": 0.5101394057273865, "val_acc": 0.4}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4319090396165848, "train_acc": 0.67, "val_loss": 0.4662722051143646, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3512326776981354, "train_acc": 0.905, "val_loss": 0.3477107584476471, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.30870819091796875, "train_acc": 0.9, "val_loss": 0.339377760887146, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.309644415974617, "train_acc": 0.895, "val_loss": 0.26254066824913025, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2884446233510971, "train_acc": 0.9, "val_loss": 0.23963923752307892, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3089365065097809, "train_acc": 0.87, "val_loss": 0.21882881224155426, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2696758061647415, "train_acc": 0.89, "val_loss": 0.22165511548519135, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.24557209759950638, "train_acc": 0.905, "val_loss": 1.6955325603485107, "val_acc": 0.48}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.6132426857948303, "train_acc": 0.725, "val_loss": 0.20740032196044922, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.789787769317627, "final_val_loss": 0.7077375650405884, "initial_val_acc": 0.4, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.5101394057273865, "final_val_loss": 0.20740032196044922, "initial_val_acc": 0.4, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 7}, "improvement": 0.5399999999999999, "first_improvement_epoch": 1}}
|
9,730
|
{"target_pattern": "sorted_descending", "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": "relu", "dropout_rate": 0.0, "random_seed": 4741, "learning_rate": 0.040366576540279614, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: 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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0.344983,
0.270672
],
[
-0.242627,
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0.539645,
-0.005124,
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],
[
0.206349,
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0.053722,
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-0.134296
],
[
0.674672,
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0.324303,
-0.171008,
-0.175456
]
],
"network.0.bias": [
-0.245421,
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0.324808,
0.204355,
-0.025075,
-0.175402
],
"network.2.weight": [
[
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],
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## Activation Signature
### 0
mean: [2.781988, -0.061955, 1.389043, 0.485473, 0.369229, 1.490244]
std: [2.081966, 1.095672, 1.356924, 1.084584, 0.657765, 2.033200]
pca: [[0.865397, -0.023928, -0.078830, -0.125353, -0.107440, -0.465881, 0.000000, 0.000000, 0.000000, 0.000000], [0.173172, -0.136443, -0.413980, 0.856039, 0.175664, 0.127888, 0.000000, 0.000000, 0.000000, 0.000000], [0.401594, -0.401591, 0.168221, -0.216063, 0.194464, 0.751431, 0.000000, 0.000000, 0.000000, 0.000000], [0.081640, 0.001576, 0.889409, 0.435309, -0.024119, -0.110490, 0.000000, 0.000000, 0.000000, 0.000000], [0.031539, 0.279242, 0.054632, -0.105408, 0.939896, -0.153395, 0.000000, 0.000000, 0.000000, 0.000000], [0.228391, 0.861137, -0.008677, 0.064775, -0.189201, 0.407692, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.939471, 34.001298, 34.660157, 36.062181, 250.378948], [15.990253, 16.001811, 16.111851, 20.025787, 22.901428], [20.455256, 21.218870, 21.786069, 26.087274, 125.013886], [16.242320, 16.587854, 18.697007, 20.258246, 43.692549], [9.770331, 10.821529, 11.263926, 12.259160, 33.230578], [31.791058, 31.947444, 35.023925, 39.745207, 134.121921]]
### 2
mean: [2.419065, 0.621578, 0.176194, -0.960254, -1.435562, 1.079195]
std: [2.203095, 1.208250, 1.433327, 0.629044, 0.782241, 1.429952]
pca: [[0.714308, 0.341843, -0.408095, -0.023116, -0.011736, 0.453534, 0.000000, 0.000000, 0.000000, 0.000000], [-0.242921, 0.653773, 0.522666, 0.180209, -0.277072, 0.362143, 0.000000, 0.000000, 0.000000, 0.000000], [-0.449105, 0.324319, -0.323672, -0.081225, 0.739546, 0.186636, 0.000000, 0.000000, 0.000000, 0.000000], [-0.034245, -0.374894, 0.306627, -0.650667, 0.059773, 0.580794, 0.000000, 0.000000, 0.000000, 0.000000], [-0.100308, -0.458242, -0.034518, 0.715781, 0.074660, 0.510729, 0.000000, 0.000000, 0.000000, 0.000000], [0.466716, 0.003179, 0.600253, 0.157110, 0.605821, -0.173666, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.973176, 35.659216, 38.573934, 41.313338, 217.715863], [17.555096, 18.708750, 20.152870, 22.625665, 55.942016], [20.019753, 23.680101, 24.831053, 25.718624, 26.319263], [9.671400, 11.481944, 11.993467, 13.515907, 86.422894], [11.262304, 12.814658, 12.953578, 13.572758, 129.200581], [22.483350, 23.466836, 24.211928, 26.540258, 97.127529]]
### 4
mean: [-1.183893, -1.057420, 0.946740, 1.200572, 0.719348, 2.482942]
std: [0.631017, 1.158610, 0.838013, 0.541685, 1.035639, 2.396605]
pca: [[-0.052049, -0.558543, -0.372898, 0.561983, 0.468098, 0.106432, 0.000000, 0.000000, 0.000000, 0.000000], [-0.400079, 0.013830, 0.425184, 0.390029, -0.303910, 0.643801, 0.000000, 0.000000, 0.000000, 0.000000], [0.279632, -0.161633, 0.598445, 0.464830, -0.116950, -0.554797, 0.000000, 0.000000, 0.000000, 0.000000], [0.107201, 0.400854, 0.400956, -0.022997, 0.795696, 0.182750, 0.000000, 0.000000, 0.000000, 0.000000], [-0.248494, 0.684643, -0.359096, 0.514931, -0.053745, -0.269299, 0.000000, 0.000000, 0.000000, 0.000000], [0.828126, 0.179703, -0.179758, 0.224283, -0.197042, 0.400591, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.954846, 11.018381, 11.898682, 12.219156, 106.550357], [18.961598, 20.119537, 20.212622, 21.111534, 95.167763], [13.192835, 13.808818, 14.918911, 16.056828, 85.206631], [8.634933, 8.659505, 9.366634, 9.542799, 108.051464], [16.182256, 17.298604, 19.043328, 20.321067, 64.741310], [39.171439, 39.972455, 42.140542, 43.566840, 223.464771]]
### 6
mean: [0.352197, -0.546163, 2.228209, -0.476003, 1.670949, -0.630515]
std: [1.189997, 0.233769, 2.161268, 0.287387, 1.490126, 0.857158]
pca: [[-0.366736, 0.866346, -0.171865, -0.183940, -0.178153, -0.140849, 0.000000, 0.000000, 0.000000, 0.000000], [-0.077276, 0.072755, 0.003563, 0.401860, -0.504030, 0.757090, 0.000000, 0.000000, 0.000000, 0.000000], [0.724199, 0.204232, -0.653381, 0.055252, 0.035034, 0.051363, 0.000000, 0.000000, 0.000000, 0.000000], [-0.093578, 0.124438, -0.009082, 0.895168, 0.180112, -0.376710, 0.000000, 0.000000, 0.000000, 0.000000], [0.493762, 0.425044, 0.705940, 0.016871, 0.232084, 0.151784, 0.000000, 0.000000, 0.000000, 0.000000], [-0.287249, 0.079329, -0.212388, 0.003409, 0.791634, 0.489275, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.242267, 20.184738, 20.342441, 23.817688, 31.697709], [3.810227, 3.923626, 4.167292, 4.383151, 49.154717], [36.186434, 36.695057, 37.756309, 38.501566, 200.538787], [4.606001, 4.748160, 5.120984, 5.522976, 42.840249], [24.526631, 25.387354, 25.775314, 27.224700, 150.385403], [14.240960, 14.767101, 15.264520, 15.362918, 56.746350]]
### 8
mean: [-0.363296, 2.074044, 2.363278, -0.348065, -0.153473, 0.479870]
std: [0.154725, 1.713729, 1.998052, 0.725800, 0.211206, 0.687208]
pca: [[0.031209, -0.291980, 0.706342, 0.529819, 0.303681, 0.204757, 0.000000, 0.000000, 0.000000, 0.000000], [0.612679, 0.135680, -0.068687, -0.336248, 0.661150, 0.226530, 0.000000, 0.000000, 0.000000, 0.000000], [0.714227, 0.176602, -0.082789, 0.485484, -0.358291, -0.296261, 0.000000, 0.000000, 0.000000, 0.000000], [-0.259468, 0.003415, -0.536481, 0.525239, 0.543844, -0.270574, 0.000000, 0.000000, 0.000000, 0.000000], [-0.057520, 0.321656, -0.264164, 0.307250, -0.170545, 0.836635, 0.000000, 0.000000, 0.000000, 0.000000], [-0.207120, 0.872741, 0.363201, 0.015994, 0.132041, -0.214056, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.430167, 2.685059, 3.037322, 3.446060, 32.696655], [28.342882, 29.302796, 30.239358, 30.700979, 186.664013], [33.003535, 34.152684, 34.985451, 36.003855, 212.695003], [12.024801, 12.576369, 12.693348, 12.992805, 31.325821], [3.317872, 3.867747, 4.284025, 4.498483, 13.812557], [10.481144, 12.155272, 12.461537, 14.618386, 43.188306]]
### 10
mean: [2.272157, -0.891063, -0.340095, -1.419011, -0.442884, 1.523273]
std: [2.259135, 0.272635, 0.293110, 1.080270, 0.118948, 1.478919]
pca: [[0.772595, 0.244777, 0.214562, -0.180108, 0.501097, -0.116652, 0.000000, 0.000000, 0.000000, 0.000000], [-0.073703, 0.559997, -0.260791, -0.105628, 0.093076, 0.770155, 0.000000, 0.000000, 0.000000, 0.000000], [0.078826, 0.606615, -0.326161, -0.192635, -0.467081, -0.513956, 0.000000, 0.000000, 0.000000, 0.000000], [-0.367451, 0.392369, 0.015453, 0.598841, 0.514751, -0.295309, 0.000000, 0.000000, 0.000000, 0.000000], [-0.021740, 0.311032, 0.841308, 0.160052, -0.391802, 0.125949, 0.000000, 0.000000, 0.000000, 0.000000], [0.505924, -0.088389, -0.267456, 0.731483, -0.321865, 0.161342, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.977677, 39.270931, 39.294430, 39.921952, 204.494145], [3.727067, 4.039916, 4.399700, 5.012787, 80.195626], [4.570689, 5.221240, 5.648625, 6.043589, 30.608510], [17.756553, 18.430234, 18.748587, 19.736609, 127.710974], [1.670919, 1.754993, 2.044730, 2.228156, 39.859597], [24.622924, 25.670975, 25.937107, 26.157625, 137.094576]]
### 12
mean: [-1.506454]
std: [1.307234]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.464317, 22.622777, 23.412701, 23.578599, 135.580884]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.042969,
-0.086633,
0.055641
],
"network.12.weight": [
[
-0.512033,
-0.299925,
-0.153241,
-0.022783,
0.053377,
-0.189372
]
],
"network.12.bias": [
0.043393
]
}
## Activation Signature
### 0
mean: [2.781988, -0.061955, 1.389043, 0.485473, 0.369229, 1.490244]
std: [2.081966, 1.095672, 1.356924, 1.084584, 0.657765, 2.033200]
pca: [[0.865397, -0.023928, -0.078830, -0.125353, -0.107440, -0.465881, 0.000000, 0.000000, 0.000000, 0.000000], [0.173172, -0.136443, -0.413980, 0.856039, 0.175664, 0.127888, 0.000000, 0.000000, 0.000000, 0.000000], [0.401594, -0.401591, 0.168221, -0.216063, 0.194464, 0.751431, 0.000000, 0.000000, 0.000000, 0.000000], [0.081640, 0.001576, 0.889409, 0.435309, -0.024119, -0.110490, 0.000000, 0.000000, 0.000000, 0.000000], [0.031539, 0.279242, 0.054632, -0.105408, 0.939896, -0.153395, 0.000000, 0.000000, 0.000000, 0.000000], [0.228391, 0.861137, -0.008677, 0.064775, -0.189201, 0.407692, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.939471, 34.001298, 34.660157, 36.062181, 250.378948], [15.990253, 16.001811, 16.111851, 20.025787, 22.901428], [20.455256, 21.218870, 21.786069, 26.087274, 125.013886], [16.242320, 16.587854, 18.697007, 20.258246, 43.692549], [9.770331, 10.821529, 11.263926, 12.259160, 33.230578], [31.791058, 31.947444, 35.023925, 39.745207, 134.121921]]
### 2
mean: [2.419065, 0.621578, 0.176194, -0.960254, -1.435562, 1.079195]
std: [2.203095, 1.208250, 1.433327, 0.629044, 0.782241, 1.429952]
pca: [[0.714308, 0.341843, -0.408095, -0.023116, -0.011736, 0.453534, 0.000000, 0.000000, 0.000000, 0.000000], [-0.242921, 0.653773, 0.522666, 0.180209, -0.277072, 0.362143, 0.000000, 0.000000, 0.000000, 0.000000], [-0.449105, 0.324319, -0.323672, -0.081225, 0.739546, 0.186636, 0.000000, 0.000000, 0.000000, 0.000000], [-0.034245, -0.374894, 0.306627, -0.650667, 0.059773, 0.580794, 0.000000, 0.000000, 0.000000, 0.000000], [-0.100308, -0.458242, -0.034518, 0.715781, 0.074660, 0.510729, 0.000000, 0.000000, 0.000000, 0.000000], [0.466716, 0.003179, 0.600253, 0.157110, 0.605821, -0.173666, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.973176, 35.659216, 38.573934, 41.313338, 217.715863], [17.555096, 18.708750, 20.152870, 22.625665, 55.942016], [20.019753, 23.680101, 24.831053, 25.718624, 26.319263], [9.671400, 11.481944, 11.993467, 13.515907, 86.422894], [11.262304, 12.814658, 12.953578, 13.572758, 129.200581], [22.483350, 23.466836, 24.211928, 26.540258, 97.127529]]
### 4
mean: [-1.183893, -1.057420, 0.946740, 1.200572, 0.719348, 2.482942]
std: [0.631017, 1.158610, 0.838013, 0.541685, 1.035639, 2.396605]
pca: [[-0.052049, -0.558543, -0.372898, 0.561983, 0.468098, 0.106432, 0.000000, 0.000000, 0.000000, 0.000000], [-0.400079, 0.013830, 0.425184, 0.390029, -0.303910, 0.643801, 0.000000, 0.000000, 0.000000, 0.000000], [0.279632, -0.161633, 0.598445, 0.464830, -0.116950, -0.554797, 0.000000, 0.000000, 0.000000, 0.000000], [0.107201, 0.400854, 0.400956, -0.022997, 0.795696, 0.182750, 0.000000, 0.000000, 0.000000, 0.000000], [-0.248494, 0.684643, -0.359096, 0.514931, -0.053745, -0.269299, 0.000000, 0.000000, 0.000000, 0.000000], [0.828126, 0.179703, -0.179758, 0.224283, -0.197042, 0.400591, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.954846, 11.018381, 11.898682, 12.219156, 106.550357], [18.961598, 20.119537, 20.212622, 21.111534, 95.167763], [13.192835, 13.808818, 14.918911, 16.056828, 85.206631], [8.634933, 8.659505, 9.366634, 9.542799, 108.051464], [16.182256, 17.298604, 19.043328, 20.321067, 64.741310], [39.171439, 39.972455, 42.140542, 43.566840, 223.464771]]
### 6
mean: [0.352197, -0.546163, 2.228209, -0.476003, 1.670949, -0.630515]
std: [1.189997, 0.233769, 2.161268, 0.287387, 1.490126, 0.857158]
pca: [[-0.366736, 0.866346, -0.171865, -0.183940, -0.178153, -0.140849, 0.000000, 0.000000, 0.000000, 0.000000], [-0.077276, 0.072755, 0.003563, 0.401860, -0.504030, 0.757090, 0.000000, 0.000000, 0.000000, 0.000000], [0.724199, 0.204232, -0.653381, 0.055252, 0.035034, 0.051363, 0.000000, 0.000000, 0.000000, 0.000000], [-0.093578, 0.124438, -0.009082, 0.895168, 0.180112, -0.376710, 0.000000, 0.000000, 0.000000, 0.000000], [0.493762, 0.425044, 0.705940, 0.016871, 0.232084, 0.151784, 0.000000, 0.000000, 0.000000, 0.000000], [-0.287249, 0.079329, -0.212388, 0.003409, 0.791634, 0.489275, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.242267, 20.184738, 20.342441, 23.817688, 31.697709], [3.810227, 3.923626, 4.167292, 4.383151, 49.154717], [36.186434, 36.695057, 37.756309, 38.501566, 200.538787], [4.606001, 4.748160, 5.120984, 5.522976, 42.840249], [24.526631, 25.387354, 25.775314, 27.224700, 150.385403], [14.240960, 14.767101, 15.264520, 15.362918, 56.746350]]
### 8
mean: [-0.363296, 2.074044, 2.363278, -0.348065, -0.153473, 0.479870]
std: [0.154725, 1.713729, 1.998052, 0.725800, 0.211206, 0.687208]
pca: [[0.031209, -0.291980, 0.706342, 0.529819, 0.303681, 0.204757, 0.000000, 0.000000, 0.000000, 0.000000], [0.612679, 0.135680, -0.068687, -0.336248, 0.661150, 0.226530, 0.000000, 0.000000, 0.000000, 0.000000], [0.714227, 0.176602, -0.082789, 0.485484, -0.358291, -0.296261, 0.000000, 0.000000, 0.000000, 0.000000], [-0.259468, 0.003415, -0.536481, 0.525239, 0.543844, -0.270574, 0.000000, 0.000000, 0.000000, 0.000000], [-0.057520, 0.321656, -0.264164, 0.307250, -0.170545, 0.836635, 0.000000, 0.000000, 0.000000, 0.000000], [-0.207120, 0.872741, 0.363201, 0.015994, 0.132041, -0.214056, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.430167, 2.685059, 3.037322, 3.446060, 32.696655], [28.342882, 29.302796, 30.239358, 30.700979, 186.664013], [33.003535, 34.152684, 34.985451, 36.003855, 212.695003], [12.024801, 12.576369, 12.693348, 12.992805, 31.325821], [3.317872, 3.867747, 4.284025, 4.498483, 13.812557], [10.481144, 12.155272, 12.461537, 14.618386, 43.188306]]
### 10
mean: [2.272157, -0.891063, -0.340095, -1.419011, -0.442884, 1.523273]
std: [2.259135, 0.272635, 0.293110, 1.080270, 0.118948, 1.478919]
pca: [[0.772595, 0.244777, 0.214562, -0.180108, 0.501097, -0.116652, 0.000000, 0.000000, 0.000000, 0.000000], [-0.073703, 0.559997, -0.260791, -0.105628, 0.093076, 0.770155, 0.000000, 0.000000, 0.000000, 0.000000], [0.078826, 0.606615, -0.326161, -0.192635, -0.467081, -0.513956, 0.000000, 0.000000, 0.000000, 0.000000], [-0.367451, 0.392369, 0.015453, 0.598841, 0.514751, -0.295309, 0.000000, 0.000000, 0.000000, 0.000000], [-0.021740, 0.311032, 0.841308, 0.160052, -0.391802, 0.125949, 0.000000, 0.000000, 0.000000, 0.000000], [0.505924, -0.088389, -0.267456, 0.731483, -0.321865, 0.161342, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.977677, 39.270931, 39.294430, 39.921952, 204.494145], [3.727067, 4.039916, 4.399700, 5.012787, 80.195626], [4.570689, 5.221240, 5.648625, 6.043589, 30.608510], [17.756553, 18.430234, 18.748587, 19.736609, 127.710974], [1.670919, 1.754993, 2.044730, 2.228156, 39.859597], [24.622924, 25.670975, 25.937107, 26.157625, 137.094576]]
### 12
mean: [-1.506454]
std: [1.307234]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.464317, 22.622777, 23.412701, 23.578599, 135.580884]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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{"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": [[-0.296344, 0.527032, 0.475633, 0.360091, 0.543312], [-0.216862, 0.001143, 0.15221, -0.242694, 0.52833], [-0.50642, 0.130515, 0.183348, 0.344983, 0.270672], [-0.242627, -0.08991, 0.539645, -0.005124, -0.299499], [0.206349, 0.171664, 0.053722, -0.056836, -0.134296], [0.674672, 0.401561, 0.324303, -0.171008, -0.175456]], "network.0.bias": [-0.245421, -0.243277, 0.324808, 0.204355, -0.025075, -0.175402], "network.2.weight": [[0.683512, 0.538184, 0.442531, 0.313026, -0.244448, -0.410707], [0.339733, -0.571782, -0.445873, -0.389114, 0.151974, 0.332504], [-0.275246, 0.059637, -0.291398, -0.120698, 0.522648, 0.456577], [-0.237477, -0.253301, 0.11024, 0.292744, 0.28671, -0.177558], [-0.322421, 0.205922, 0.004957, -0.271348, 0.027246, -0.12439], [0.269853, -0.116104, 0.651169, -0.043562, -0.214787, -0.279171]], "network.2.bias": [0.169054, 0.220095, 0.474447, -0.382334, -0.25205, -0.028436], "network.4.weight": [[-0.318393, -0.11194, -0.54705, -0.32468, 0.337956, -0.007918], [-0.27865, 0.052516, 0.249931, 0.165658, -0.018301, -0.342755], [0.316965, -0.441603, 0.111809, -0.294455, -0.29504, 0.005454], [0.298953, -0.024053, 0.466762, -0.269521, 0.079316, 0.057628], [-0.150762, 0.50088, 0.473905, 0.292154, -0.053745, 0.216952], [0.733644, -0.318572, 0.004182, -0.325526, 0.021633, 0.680109]], "network.4.bias": [0.054828, -0.113027, 0.394702, 0.098365, 0.160031, -0.001649], "network.6.weight": [[-0.065755, 0.364949, 0.081739, 0.269015, 0.652074, -0.310967], [0.11566, 0.062029, -0.023688, -0.033301, 0.105496, -0.052856], [-0.289078, 0.105829, 0.57753, 0.127253, -0.478852, 0.635812], [-0.370498, 0.023339, 0.044319, -0.106246, 0.205092, -0.056647], [-0.39741, 0.059996, -0.018289, 0.302043, -0.310594, 0.544016], [-0.131394, -0.00268, 0.039339, -0.059893, 0.329003, -0.286854]], "network.6.bias": [0.23622, -0.428898, 0.173512, -0.399445, 0.131857, -0.093246], "network.8.weight": [[-0.176209, -0.039951, 0.178722, 0.392888, -0.270462, -0.015557], [-0.13724, -0.091366, 0.519751, -0.432237, 0.415355, 0.033799], [-0.044031, 0.149184, 0.705747, 0.249861, 0.365347, -0.387623], [0.191256, 0.270269, -0.228169, -0.021511, -0.134982, -0.310589], [0.294484, -0.290656, -0.003751, 0.039684, 0.006273, -0.297842], [0.656142, 0.003458, 0.017219, -0.258095, -0.128712, -0.21374]], "network.8.bias": [-0.217956, 0.217645, 0.136733, 0.343743, -0.300768, 0.286021], "network.10.weight": [[0.055259, 0.755396, 0.324079, -0.295067, -0.026004, -0.564107], [-0.086356, 0.170858, -0.340913, 0.184321, -0.258842, -0.328077], [0.050925, 0.175105, -0.151287, 0.175862, -0.322428, -0.44782], [0.151207, -0.09137, -0.483834, 0.193879, 0.226163, -0.126379], [0.28003, 0.068689, -0.159471, -0.474834, 0.371767, -0.116819], [-0.13045, 0.077029, 0.610666, 0.190397, 0.306602, -0.406018]], "network.10.bias": [0.240301, -0.28367, -0.132374, -0.042969, -0.086633, 0.055641], "network.12.weight": [[-0.512033, -0.299925, -0.153241, -0.022783, 0.053377, -0.189372]], "network.12.bias": [0.043393]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6873912215232849, "train_acc": 0.555, "val_loss": 0.684978187084198, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6874875426292419, "train_acc": 0.555, "val_loss": 0.6654557585716248, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6593047678470612, "train_acc": 0.555, "val_loss": 0.6084108948707581, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6104434430599213, "train_acc": 0.485, "val_loss": 0.4665280878543854, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5017588436603546, "train_acc": 0.625, "val_loss": 0.3722885847091675, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4250442236661911, "train_acc": 0.915, "val_loss": 0.34470245242118835, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3996550440788269, "train_acc": 0.91, "val_loss": 0.3267018795013428, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3718174695968628, "train_acc": 0.92, "val_loss": 0.31960970163345337, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3656809777021408, "train_acc": 0.92, "val_loss": 0.3031906187534332, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3469441086053848, "train_acc": 0.925, "val_loss": 0.29290124773979187, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3217304050922394, "train_acc": 0.92, "val_loss": 0.2836562693119049, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.31546661257743835, "train_acc": 0.92, "val_loss": 0.2772299647331238, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3068023920059204, "train_acc": 0.925, "val_loss": 0.3599604368209839, "val_acc": 0.9}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.684978187084198, "final_val_loss": 0.6084108948707581, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.4665280878543854, "final_val_loss": 0.3599604368209839, "initial_val_acc": 0.56, "final_val_acc": 0.9, "best_val_acc": 0.92, "best_epoch": 4}, "improvement": 0.36, "first_improvement_epoch": 2}}
|
9,731
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.58, "improved_accuracy": 0.86, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1780, "learning_rate": 0.04364451429931725, "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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
mean: [0.927092, -2.420696, -0.406551, -1.282310, -0.454154, -0.978166, -1.432451, -0.340413]
std: [2.038204, 1.464458, 1.271853, 0.980222, 0.984029, 2.110622, 1.966445, 1.533791]
pca: [[0.593495, -0.134847, -0.382652, 0.445815, 0.166551, 0.229785, -0.426824, 0.147268, 0.000000, 0.000000], [0.214399, -0.183110, 0.672134, -0.051763, -0.084964, 0.659417, -0.031190, -0.151783, 0.000000, 0.000000], [-0.329713, -0.192484, 0.209892, 0.077341, 0.878668, -0.040085, -0.170442, 0.038584, 0.000000, 0.000000], [0.100346, -0.076733, 0.355150, 0.453956, -0.145859, -0.534985, -0.213936, -0.546428, 0.000000, 0.000000], [0.122125, 0.069090, 0.258256, 0.545369, 0.045433, -0.096622, 0.615714, 0.475063, 0.000000, 0.000000], [0.521963, -0.505851, 0.112944, -0.486267, 0.104575, -0.408434, 0.149089, 0.149917, 0.000000, 0.000000], [0.244348, 0.692296, 0.354000, -0.208318, 0.080800, -0.197270, -0.376859, 0.323791, 0.000000, 0.000000], [-0.368715, -0.406714, 0.163888, 0.096092, -0.390105, -0.097373, -0.445730, 0.549729, 0.000000, 0.000000]]
fourier: [[32.234379, 33.084506, 38.156298, 49.093240, 83.438307], [23.746139, 24.333245, 27.188352, 28.656470, 217.862641], [21.163819, 24.560981, 25.754564, 26.958074, 36.589555], [18.165313, 18.427083, 18.778364, 19.164137, 115.407891], [14.946409, 15.361239, 16.468429, 17.663828, 40.873837], [30.699345, 31.935582, 34.997347, 35.828436, 88.034970], [27.754381, 28.478418, 28.494570, 39.001161, 128.920536], [21.879452, 25.560542, 28.321999, 29.149223, 30.637184]]
### 2
mean: [0.436869, -0.426795, -0.591637, -0.453776, -0.249099, -0.622208, 0.811043, -0.624527]
std: [0.946200, 1.001101, 0.730425, 0.828784, 0.625972, 0.753981, 1.099299, 0.732428]
pca: [[0.403816, 0.115111, 0.763771, -0.386480, -0.080661, 0.005301, 0.177189, -0.230302, 0.000000, 0.000000], [-0.394749, 0.585944, 0.079445, 0.301554, -0.076689, -0.308967, 0.107936, -0.539077, 0.000000, 0.000000], [-0.320746, -0.043286, 0.372517, 0.200509, -0.136144, 0.584379, -0.591591, -0.079131, 0.000000, 0.000000], [-0.320899, -0.488490, 0.293014, 0.382748, -0.120283, 0.089621, 0.632972, 0.053795, 0.000000, 0.000000], [-0.228019, -0.428426, 0.039451, -0.263616, -0.525811, -0.550751, -0.317390, -0.113441, 0.000000, 0.000000], [-0.292882, 0.459029, 0.124683, -0.198005, -0.377315, 0.005939, 0.135875, 0.698496, 0.000000, 0.000000], [0.484826, 0.055917, 0.199654, 0.679884, -0.170250, -0.320311, -0.225236, 0.278204, 0.000000, 0.000000], [-0.320036, -0.074426, 0.358820, -0.045350, 0.711886, -0.386031, -0.190763, 0.262751, 0.000000, 0.000000]]
fourier: [[14.244916, 16.987271, 19.399170, 22.710659, 39.318206], [16.065634, 16.601082, 18.589792, 22.607562, 38.411512], [11.630610, 11.867823, 13.870972, 14.605178, 53.247295], [12.850213, 13.480466, 13.975738, 16.490411, 40.839845], [10.143661, 10.904076, 11.211767, 13.579567, 22.418900], [12.786893, 12.982027, 13.825242, 16.620448, 55.998687], [17.847687, 18.300585, 24.938385, 24.945571, 72.993847], [12.507331, 12.849725, 13.816234, 16.738630, 56.207448]]
### 4
mean: [-0.443633, -0.751702, 0.709005, 0.682612, 0.618172, 0.152921, -0.435813, 0.570701]
std: [0.559386, 1.113147, 0.833125, 0.611531, 0.823885, 0.576219, 0.484125, 0.543722]
pca: [[0.254739, -0.406350, 0.460157, 0.192883, -0.167607, -0.232798, -0.146606, 0.645956, 0.000000, 0.000000], [0.534142, 0.714118, 0.113825, 0.086392, -0.316690, -0.043867, 0.270286, 0.095065, 0.000000, 0.000000], [-0.412889, 0.237754, 0.755531, -0.183275, -0.070181, 0.393801, -0.068025, -0.062825, 0.000000, 0.000000], [-0.310534, 0.115181, -0.374086, -0.069739, -0.040856, 0.439686, 0.269551, 0.691265, 0.000000, 0.000000], [-0.420953, 0.126600, -0.110515, 0.736369, -0.444834, -0.090287, -0.196319, -0.088024, 0.000000, 0.000000], [-0.290833, -0.207521, 0.121922, -0.128407, -0.265336, -0.403612, 0.772671, -0.103302, 0.000000, 0.000000], [0.236263, -0.230596, 0.154464, 0.561784, 0.347353, 0.463807, 0.436183, -0.159740, 0.000000, 0.000000], [-0.255511, 0.377962, 0.116595, 0.206278, 0.689990, -0.457500, 0.048466, 0.219027, 0.000000, 0.000000]]
fourier: [[7.797511, 9.074728, 9.986875, 12.157195, 39.926927], [16.989199, 17.359129, 23.005469, 23.582669, 67.653218], [13.689063, 14.836277, 17.034339, 18.496309, 63.810442], [10.095317, 10.351351, 10.691631, 14.328277, 61.435087], [14.548957, 14.587826, 15.332934, 19.781583, 55.635459], [8.736879, 9.082125, 12.556339, 12.753854, 13.762928], [7.586647, 7.774912, 8.291767, 10.742394, 39.223188], [8.190621, 9.728102, 9.837594, 12.281116, 51.363043]]
### 6
mean: [0.277554, 1.169478, 0.980748, -0.351325, 1.055340, 1.115270, 0.446103, -0.100378]
std: [0.569001, 0.873057, 0.872180, 0.614823, 1.014674, 0.875571, 0.227694, 0.610301]
pca: [[0.270828, 0.188573, -0.340846, -0.024804, 0.662820, -0.411117, 0.020252, 0.406870, 0.000000, 0.000000], [0.417357, 0.055391, 0.530946, -0.322970, 0.250705, -0.225089, 0.217530, -0.525066, 0.000000, 0.000000], [0.417091, 0.148224, 0.027813, 0.622776, -0.010858, -0.014376, -0.592802, -0.252394, 0.000000, 0.000000], [-0.293322, 0.175158, 0.189380, 0.063512, 0.629205, 0.659380, -0.081225, -0.078129, 0.000000, 0.000000], [0.484648, 0.261154, -0.028994, -0.537652, -0.224514, 0.420228, -0.295575, 0.304372, 0.000000, 0.000000], [0.418937, 0.117439, -0.164234, 0.390294, -0.099365, 0.350456, 0.705381, 0.033796, 0.000000, 0.000000], [0.097492, -0.288081, 0.686372, 0.230564, 0.005239, -0.030156, 0.008395, 0.618248, 0.000000, 0.000000], [-0.269382, 0.862402, 0.257607, 0.092911, -0.203695, -0.212152, 0.096238, 0.113756, 0.000000, 0.000000]]
fourier: [[8.988457, 9.502748, 12.580929, 12.939880, 24.979844], [14.372807, 14.589037, 18.198168, 20.250201, 105.253025], [14.103764, 14.316771, 18.773038, 19.955881, 88.267332], [10.692160, 10.701514, 11.531825, 14.644909, 31.619277], [16.441772, 17.151712, 21.966837, 23.344904, 94.980563], [14.353266, 14.621721, 18.585715, 20.198480, 100.374284], [3.273830, 3.393761, 3.897326, 5.040303, 40.149241], [8.046054, 9.034053, 10.705462, 11.348427, 14.526262]]
### 8
mean: [1.073155, 0.630968, 2.117706, 0.532575, 2.044494, -1.858396, -1.991938, -1.656994]
std: [0.963095, 0.891736, 1.899131, 0.794029, 1.659031, 1.834032, 2.029840, 2.000734]
pca: [[-0.214457, -0.079082, -0.178417, 0.384709, -0.317440, 0.715329, 0.174870, -0.353381, 0.000000, 0.000000], [-0.196653, 0.647698, -0.376728, -0.096435, 0.371618, -0.059768, 0.472017, -0.161612, 0.000000, 0.000000], [-0.422744, 0.326130, 0.181454, 0.669730, -0.186750, -0.378216, -0.200373, 0.124058, 0.000000, 0.000000], [-0.176186, 0.357146, 0.174305, -0.329961, -0.352621, 0.364728, 0.059463, 0.664263, 0.000000, 0.000000], [-0.369393, 0.020553, 0.625858, -0.103226, 0.556765, 0.301791, -0.165390, -0.179872, 0.000000, 0.000000], [0.408265, 0.299868, -0.282723, 0.263792, 0.341251, 0.333570, -0.570625, 0.201360, 0.000000, 0.000000], [0.451571, 0.496108, 0.407827, -0.115907, -0.362147, -0.026641, -0.074269, -0.482522, 0.000000, 0.000000], [0.445571, -0.062068, 0.353529, 0.437734, 0.210534, 0.074847, 0.586901, 0.294349, 0.000000, 0.000000]]
fourier: [[15.655890, 16.077630, 19.932202, 22.439731, 96.583921], [13.579757, 14.533411, 19.998424, 20.405499, 56.787082], [30.181782, 31.326815, 41.089021, 43.757120, 190.593548], [12.335009, 13.013488, 17.788204, 18.056863, 47.931728], [26.532474, 27.447792, 35.261791, 38.471576, 184.004408], [29.887835, 30.668280, 37.706834, 42.849085, 167.255684], [33.329930, 34.131858, 40.902785, 47.615317, 179.274430], [32.307660, 33.489588, 42.025515, 46.510447, 149.129483]]
### 10
mean: [-2.142077]
std: [2.334901]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.441346, 40.236320, 45.124472, 55.336737, 192.786967]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.58989,
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[
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[
-0.166255,
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0.411169,
-0.025725,
-0.138846,
-0.054649,
0.31555
],
[
0.721469,
0.133425,
0.117187,
-0.680624,
-0.221006,
-0.183556,
0.655474,
0.311147
]
],
"network.6.bias": [
-0.2216,
0.257623,
0.119378,
0.180561,
0.06946,
0.30298,
0.161778,
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],
"network.8.weight": [
[
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-0.118683,
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[
0.295037,
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[
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0.23327,
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-0.217179,
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-0.237285,
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-0.282,
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0.392869
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[
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"network.10.bias": [
0.097095
]
}
## Activation Signature
### 0
mean: [0.927092, -2.420696, -0.406551, -1.282310, -0.454154, -0.978166, -1.432451, -0.340413]
std: [2.038204, 1.464458, 1.271853, 0.980222, 0.984029, 2.110622, 1.966445, 1.533791]
pca: [[0.593495, -0.134847, -0.382652, 0.445815, 0.166551, 0.229785, -0.426824, 0.147268, 0.000000, 0.000000], [0.214399, -0.183110, 0.672134, -0.051763, -0.084964, 0.659417, -0.031190, -0.151783, 0.000000, 0.000000], [-0.329713, -0.192484, 0.209892, 0.077341, 0.878668, -0.040085, -0.170442, 0.038584, 0.000000, 0.000000], [0.100346, -0.076733, 0.355150, 0.453956, -0.145859, -0.534985, -0.213936, -0.546428, 0.000000, 0.000000], [0.122125, 0.069090, 0.258256, 0.545369, 0.045433, -0.096622, 0.615714, 0.475063, 0.000000, 0.000000], [0.521963, -0.505851, 0.112944, -0.486267, 0.104575, -0.408434, 0.149089, 0.149917, 0.000000, 0.000000], [0.244348, 0.692296, 0.354000, -0.208318, 0.080800, -0.197270, -0.376859, 0.323791, 0.000000, 0.000000], [-0.368715, -0.406714, 0.163888, 0.096092, -0.390105, -0.097373, -0.445730, 0.549729, 0.000000, 0.000000]]
fourier: [[32.234379, 33.084506, 38.156298, 49.093240, 83.438307], [23.746139, 24.333245, 27.188352, 28.656470, 217.862641], [21.163819, 24.560981, 25.754564, 26.958074, 36.589555], [18.165313, 18.427083, 18.778364, 19.164137, 115.407891], [14.946409, 15.361239, 16.468429, 17.663828, 40.873837], [30.699345, 31.935582, 34.997347, 35.828436, 88.034970], [27.754381, 28.478418, 28.494570, 39.001161, 128.920536], [21.879452, 25.560542, 28.321999, 29.149223, 30.637184]]
### 2
mean: [0.436869, -0.426795, -0.591637, -0.453776, -0.249099, -0.622208, 0.811043, -0.624527]
std: [0.946200, 1.001101, 0.730425, 0.828784, 0.625972, 0.753981, 1.099299, 0.732428]
pca: [[0.403816, 0.115111, 0.763771, -0.386480, -0.080661, 0.005301, 0.177189, -0.230302, 0.000000, 0.000000], [-0.394749, 0.585944, 0.079445, 0.301554, -0.076689, -0.308967, 0.107936, -0.539077, 0.000000, 0.000000], [-0.320746, -0.043286, 0.372517, 0.200509, -0.136144, 0.584379, -0.591591, -0.079131, 0.000000, 0.000000], [-0.320899, -0.488490, 0.293014, 0.382748, -0.120283, 0.089621, 0.632972, 0.053795, 0.000000, 0.000000], [-0.228019, -0.428426, 0.039451, -0.263616, -0.525811, -0.550751, -0.317390, -0.113441, 0.000000, 0.000000], [-0.292882, 0.459029, 0.124683, -0.198005, -0.377315, 0.005939, 0.135875, 0.698496, 0.000000, 0.000000], [0.484826, 0.055917, 0.199654, 0.679884, -0.170250, -0.320311, -0.225236, 0.278204, 0.000000, 0.000000], [-0.320036, -0.074426, 0.358820, -0.045350, 0.711886, -0.386031, -0.190763, 0.262751, 0.000000, 0.000000]]
fourier: [[14.244916, 16.987271, 19.399170, 22.710659, 39.318206], [16.065634, 16.601082, 18.589792, 22.607562, 38.411512], [11.630610, 11.867823, 13.870972, 14.605178, 53.247295], [12.850213, 13.480466, 13.975738, 16.490411, 40.839845], [10.143661, 10.904076, 11.211767, 13.579567, 22.418900], [12.786893, 12.982027, 13.825242, 16.620448, 55.998687], [17.847687, 18.300585, 24.938385, 24.945571, 72.993847], [12.507331, 12.849725, 13.816234, 16.738630, 56.207448]]
### 4
mean: [-0.443633, -0.751702, 0.709005, 0.682612, 0.618172, 0.152921, -0.435813, 0.570701]
std: [0.559386, 1.113147, 0.833125, 0.611531, 0.823885, 0.576219, 0.484125, 0.543722]
pca: [[0.254739, -0.406350, 0.460157, 0.192883, -0.167607, -0.232798, -0.146606, 0.645956, 0.000000, 0.000000], [0.534142, 0.714118, 0.113825, 0.086392, -0.316690, -0.043867, 0.270286, 0.095065, 0.000000, 0.000000], [-0.412889, 0.237754, 0.755531, -0.183275, -0.070181, 0.393801, -0.068025, -0.062825, 0.000000, 0.000000], [-0.310534, 0.115181, -0.374086, -0.069739, -0.040856, 0.439686, 0.269551, 0.691265, 0.000000, 0.000000], [-0.420953, 0.126600, -0.110515, 0.736369, -0.444834, -0.090287, -0.196319, -0.088024, 0.000000, 0.000000], [-0.290833, -0.207521, 0.121922, -0.128407, -0.265336, -0.403612, 0.772671, -0.103302, 0.000000, 0.000000], [0.236263, -0.230596, 0.154464, 0.561784, 0.347353, 0.463807, 0.436183, -0.159740, 0.000000, 0.000000], [-0.255511, 0.377962, 0.116595, 0.206278, 0.689990, -0.457500, 0.048466, 0.219027, 0.000000, 0.000000]]
fourier: [[7.797511, 9.074728, 9.986875, 12.157195, 39.926927], [16.989199, 17.359129, 23.005469, 23.582669, 67.653218], [13.689063, 14.836277, 17.034339, 18.496309, 63.810442], [10.095317, 10.351351, 10.691631, 14.328277, 61.435087], [14.548957, 14.587826, 15.332934, 19.781583, 55.635459], [8.736879, 9.082125, 12.556339, 12.753854, 13.762928], [7.586647, 7.774912, 8.291767, 10.742394, 39.223188], [8.190621, 9.728102, 9.837594, 12.281116, 51.363043]]
### 6
mean: [0.277554, 1.169478, 0.980748, -0.351325, 1.055340, 1.115270, 0.446103, -0.100378]
std: [0.569001, 0.873057, 0.872180, 0.614823, 1.014674, 0.875571, 0.227694, 0.610301]
pca: [[0.270828, 0.188573, -0.340846, -0.024804, 0.662820, -0.411117, 0.020252, 0.406870, 0.000000, 0.000000], [0.417357, 0.055391, 0.530946, -0.322970, 0.250705, -0.225089, 0.217530, -0.525066, 0.000000, 0.000000], [0.417091, 0.148224, 0.027813, 0.622776, -0.010858, -0.014376, -0.592802, -0.252394, 0.000000, 0.000000], [-0.293322, 0.175158, 0.189380, 0.063512, 0.629205, 0.659380, -0.081225, -0.078129, 0.000000, 0.000000], [0.484648, 0.261154, -0.028994, -0.537652, -0.224514, 0.420228, -0.295575, 0.304372, 0.000000, 0.000000], [0.418937, 0.117439, -0.164234, 0.390294, -0.099365, 0.350456, 0.705381, 0.033796, 0.000000, 0.000000], [0.097492, -0.288081, 0.686372, 0.230564, 0.005239, -0.030156, 0.008395, 0.618248, 0.000000, 0.000000], [-0.269382, 0.862402, 0.257607, 0.092911, -0.203695, -0.212152, 0.096238, 0.113756, 0.000000, 0.000000]]
fourier: [[8.988457, 9.502748, 12.580929, 12.939880, 24.979844], [14.372807, 14.589037, 18.198168, 20.250201, 105.253025], [14.103764, 14.316771, 18.773038, 19.955881, 88.267332], [10.692160, 10.701514, 11.531825, 14.644909, 31.619277], [16.441772, 17.151712, 21.966837, 23.344904, 94.980563], [14.353266, 14.621721, 18.585715, 20.198480, 100.374284], [3.273830, 3.393761, 3.897326, 5.040303, 40.149241], [8.046054, 9.034053, 10.705462, 11.348427, 14.526262]]
### 8
mean: [1.073155, 0.630968, 2.117706, 0.532575, 2.044494, -1.858396, -1.991938, -1.656994]
std: [0.963095, 0.891736, 1.899131, 0.794029, 1.659031, 1.834032, 2.029840, 2.000734]
pca: [[-0.214457, -0.079082, -0.178417, 0.384709, -0.317440, 0.715329, 0.174870, -0.353381, 0.000000, 0.000000], [-0.196653, 0.647698, -0.376728, -0.096435, 0.371618, -0.059768, 0.472017, -0.161612, 0.000000, 0.000000], [-0.422744, 0.326130, 0.181454, 0.669730, -0.186750, -0.378216, -0.200373, 0.124058, 0.000000, 0.000000], [-0.176186, 0.357146, 0.174305, -0.329961, -0.352621, 0.364728, 0.059463, 0.664263, 0.000000, 0.000000], [-0.369393, 0.020553, 0.625858, -0.103226, 0.556765, 0.301791, -0.165390, -0.179872, 0.000000, 0.000000], [0.408265, 0.299868, -0.282723, 0.263792, 0.341251, 0.333570, -0.570625, 0.201360, 0.000000, 0.000000], [0.451571, 0.496108, 0.407827, -0.115907, -0.362147, -0.026641, -0.074269, -0.482522, 0.000000, 0.000000], [0.445571, -0.062068, 0.353529, 0.437734, 0.210534, 0.074847, 0.586901, 0.294349, 0.000000, 0.000000]]
fourier: [[15.655890, 16.077630, 19.932202, 22.439731, 96.583921], [13.579757, 14.533411, 19.998424, 20.405499, 56.787082], [30.181782, 31.326815, 41.089021, 43.757120, 190.593548], [12.335009, 13.013488, 17.788204, 18.056863, 47.931728], [26.532474, 27.447792, 35.261791, 38.471576, 184.004408], [29.887835, 30.668280, 37.706834, 42.849085, 167.255684], [33.329930, 34.131858, 40.902785, 47.615317, 179.274430], [32.307660, 33.489588, 42.025515, 46.510447, 149.129483]]
### 10
mean: [-2.142077]
std: [2.334901]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.441346, 40.236320, 45.124472, 55.336737, 192.786967]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.861178, -0.457516, 0.22275, -0.156757, 0.242329], [0.038159, -0.433707, -0.178611, -0.401674, -0.133531], [-0.673288, 0.374206, 0.006041, -0.256813, 0.281882], [-0.006802, -0.455908, -0.039958, -0.07973, 0.185898], [0.119318, -0.438731, -0.157514, 0.039848, 0.284644], [0.469203, -0.181974, 0.25657, -0.739346, -0.333835], [0.646838, -0.291924, -0.907339, 0.332861, -0.181119], [-0.791729, 0.124093, 0.451443, -0.158999, 0.014948]], "network.0.bias": [0.261085, -0.278715, -0.060119, -0.41791, 0.089344, 0.230804, -0.300545, -0.20176], "network.2.weight": [[0.275696, -0.090859, -0.364673, 0.017718, 0.353319, 0.61945, -0.087954, 0.118078], [-0.581286, 0.321113, 0.285873, 0.282279, -0.333556, 0.244408, 0.667696, -0.7502], [-0.318522, 0.199518, 0.086394, 0.613257, -0.533509, -0.214354, 0.551288, 0.039534], [-0.100405, 0.40211, 0.285434, -0.010094, -0.655566, -0.697118, 0.453703, 0.445138], [-0.141927, 0.499054, 0.381503, 0.419519, -0.284442, -0.294822, 0.161198, 0.403934], [-0.534953, 0.184248, 0.166616, 0.500334, -0.151135, 0.437869, 0.453368, -0.513441], [0.605019, -0.417226, -0.213911, -0.448714, -0.046606, 0.113064, -0.433161, -0.093763], [-0.303773, 0.227451, 0.192464, 0.263151, -0.089368, -0.308674, 0.695603, 0.129398]], "network.2.bias": [-0.07612, 0.325094, -0.143187, -0.284309, -0.125497, -0.016668, 0.142964, -0.290951], "network.4.weight": [[-0.111726, 0.9645, 0.437129, 0.345546, 0.383096, 0.678045, -0.122257, 0.295232], [-0.346025, 0.536007, 0.306432, -0.291331, -0.772815, -0.281574, -0.743928, -0.06984], [0.478301, -0.343201, -0.496813, -0.839935, -0.547019, -0.600567, 0.196453, 0.210825], [0.123325, -0.773382, -0.407222, -0.207801, -0.080366, -0.659252, 0.297751, -0.058713], [-0.048303, -0.810034, -0.378653, -0.290318, -0.380022, -0.742171, 0.601971, 0.113699], [0.264004, -0.342723, -0.287371, 0.069339, -0.013329, -0.075441, 0.285677, 0.171868], [-0.324742, 0.89924, 0.112117, 0.217083, 0.411353, 0.276168, 0.017481, 0.12758], [0.092101, -0.489186, -0.417438, -0.394678, -0.551533, -0.275564, 0.197604, -0.452306]], "network.4.bias": [-0.252761, -0.062332, 0.298346, 0.363957, 0.16467, -0.173386, -0.320222, 0.322774], "network.6.weight": [[-0.154486, -0.172635, 0.491467, 0.001237, 0.396709, -0.170602, -0.009459, -0.088489], [-0.054552, -0.402471, 0.224822, 0.387859, 0.501247, -0.318949, -0.369952, 0.515845], [-0.165072, -0.628189, 0.364402, 0.408487, 0.387772, -0.146685, 0.003917, 0.295888], [0.397831, 0.194656, -0.053224, -0.389272, -0.415095, -0.004341, 0.094568, 0.02801], [-0.133573, -0.095773, 0.203294, 0.373732, 0.58989, -0.105201, -0.196295, 0.570679], [-0.15679, -0.585624, 0.314374, 0.251283, 0.448157, 0.004357, -0.149394, 0.306047], [-0.166255, -0.387074, -0.153649, 0.411169, -0.025725, -0.138846, -0.054649, 0.31555], [0.721469, 0.133425, 0.117187, -0.680624, -0.221006, -0.183556, 0.655474, 0.311147]], "network.6.bias": [-0.2216, 0.257623, 0.119378, 0.180561, 0.06946, 0.30298, 0.161778, 0.328901], "network.8.weight": [[0.225715, 0.169212, 0.359947, -0.118683, -0.035095, 0.321913, 0.414057, -0.264057], [0.295037, 0.048348, 0.404702, 0.333892, -0.053516, 0.457869, -0.010073, -0.155471], [0.363797, 0.492216, 0.513889, -0.577221, 0.200864, 0.530822, 0.405783, -0.13485], [0.23327, 0.108157, 0.112158, -0.114257, 0.328815, 0.093902, 0.370339, 0.001771], [-0.266444, 0.543557, 0.211555, -0.205372, 0.507191, 0.501733, 0.322079, -0.315719], [-0.217179, -0.537701, -0.237285, 0.589572, -0.514186, -0.282, -0.711731, 0.392869], [-0.143698, -0.492708, -0.64295, 0.094277, -0.045039, -0.707837, -0.508283, 0.822142], [-0.449006, -0.288552, -0.478107, 0.140276, -0.33065, -0.59891, -0.672853, 0.541976]], "network.8.bias": [0.101114, -0.252158, 0.166415, -0.282517, 0.250434, -0.008956, 0.022154, 0.311644], "network.10.weight": [[-0.281734, -0.333913, -0.351833, -0.338401, -0.442498, 0.247789, 0.501948, 0.655317]], "network.10.bias": [0.097095]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6918891072273254, "train_acc": 0.54, "val_loss": 0.6769949197769165, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6733677387237549, "train_acc": 0.54, "val_loss": 0.6322470307350159, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6662702858448029, "train_acc": 0.54, "val_loss": 0.5362150073051453, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6269444823265076, "train_acc": 0.68, "val_loss": 0.4605973958969116, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5361637771129608, "train_acc": 0.73, "val_loss": 0.5670018792152405, "val_acc": 0.62}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5772675275802612, "train_acc": 0.68, "val_loss": 0.46248629689216614, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.47918927669525146, "train_acc": 0.77, "val_loss": 0.4552938938140869, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4729875475168228, "train_acc": 0.765, "val_loss": 0.4365912675857544, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.43316854536533356, "train_acc": 0.775, "val_loss": 0.37377631664276123, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3930928409099579, "train_acc": 0.79, "val_loss": 0.36889249086380005, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.4166944622993469, "train_acc": 0.795, "val_loss": 0.3613321781158447, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.4004622995853424, "train_acc": 0.835, "val_loss": 0.3773389458656311, "val_acc": 0.86}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.6769949197769165, "final_val_loss": 0.6322470307350159, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.5362150073051453, "final_val_loss": 0.3773389458656311, "initial_val_acc": 0.78, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 10}, "improvement": 0.28, "first_improvement_epoch": 1}}
|
9,732
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.56, "improved_accuracy": 0.84, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1721, "learning_rate": 0.03859651434393934, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.290885
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[
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0.042813,
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[
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],
[
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],
"network.0.bias": [
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-0.248326
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"network.2.weight": [
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],
[
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0.39387,
0.149976,
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],
[
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0.01161
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[
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[
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0.245861
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[
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0.209744
]
],
"network.2.bias": [
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"network.4.weight": [
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[
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0.193141,
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[
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],
[
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0.225668
],
[
0.533698,
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[
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],
"network.4.bias": [
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"network.8.weight": [
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[
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[
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[
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],
"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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],
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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.956287, 1.644693, 1.284838, -1.270629, -0.071128, 0.241186]
std: [0.599223, 1.419387, 1.076400, 0.879303, 1.422106, 0.924079]
pca: [[-0.239058, -0.013810, 0.140056, -0.102080, 0.954946, -0.026496, 0.000000, 0.000000, 0.000000, 0.000000], [0.613010, 0.000267, -0.265204, -0.597880, 0.140114, 0.420468, 0.000000, 0.000000, 0.000000, 0.000000], [0.376453, 0.547070, 0.011898, 0.650024, 0.178853, 0.323011, 0.000000, 0.000000, 0.000000, 0.000000], [-0.348592, -0.239338, 0.372545, 0.023599, -0.120176, 0.816953, 0.000000, 0.000000, 0.000000, 0.000000], [0.542966, -0.419773, 0.687577, 0.117218, 0.035910, -0.202947, 0.000000, 0.000000, 0.000000, 0.000000], [-0.094997, 0.683397, 0.546222, -0.441918, -0.143963, -0.097822, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.832964, 9.623199, 10.604215, 12.138836, 86.065828], [21.344927, 21.423556, 23.404368, 25.413558, 148.022347], [15.281542, 15.413987, 19.721101, 20.595213, 115.635456], [13.714620, 14.287899, 15.132601, 15.633875, 114.356580], [20.481941, 22.193854, 23.171726, 25.201427, 27.117929], [13.234440, 13.866508, 16.397731, 17.700979, 21.706715]]
### 2
mean: [0.970057, -0.768279, 0.874197, 0.443346, 0.428072, 1.377556]
std: [0.955950, 0.261037, 0.417975, 1.145939, 0.378533, 0.589171]
pca: [[0.606305, -0.089661, 0.298845, -0.262405, 0.334396, 0.595290, 0.000000, 0.000000, 0.000000, 0.000000], [-0.075544, -0.375306, -0.051953, 0.155975, 0.836938, -0.354889, 0.000000, 0.000000, 0.000000, 0.000000], [-0.046667, 0.499974, 0.792359, 0.058355, 0.123263, -0.318460, 0.000000, 0.000000, 0.000000, 0.000000], [0.730566, -0.091776, -0.051712, 0.508863, -0.233010, -0.376750, 0.000000, 0.000000, 0.000000, 0.000000], [-0.074753, 0.549287, -0.275872, 0.609150, 0.281757, 0.407603, 0.000000, 0.000000, 0.000000, 0.000000], [0.291881, 0.539438, -0.448754, -0.522882, 0.197079, -0.331944, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.260855, 16.328594, 16.493250, 17.944342, 87.305100], [4.151511, 4.160388, 4.403728, 4.638041, 69.145131], [6.932352, 7.046703, 7.152509, 8.831486, 78.677700], [19.738255, 20.526308, 21.357886, 21.761259, 39.901162], [5.351874, 5.768307, 6.717408, 7.422529, 38.526449], [8.656326, 9.023250, 9.776102, 10.788834, 123.980019]]
### 4
mean: [0.503802, -0.630438, 1.284827, 0.351187, 0.467962, 0.777389]
std: [0.365203, 0.081689, 0.640022, 0.356360, 0.912873, 0.675143]
pca: [[-0.244935, 0.308513, 0.809874, -0.021562, -0.323734, -0.289243, 0.000000, 0.000000, 0.000000, 0.000000], [0.057863, 0.020644, 0.052662, 0.629013, -0.477542, 0.608069, 0.000000, 0.000000, 0.000000, 0.000000], [-0.441733, 0.590067, -0.432113, -0.363918, -0.323016, 0.182200, 0.000000, 0.000000, 0.000000, 0.000000], [-0.241367, 0.361259, 0.241693, 0.144425, 0.743110, 0.423966, 0.000000, 0.000000, 0.000000, 0.000000], [0.654023, 0.652402, -0.123803, 0.230929, 0.047629, -0.275140, 0.000000, 0.000000, 0.000000, 0.000000], [-0.505497, 0.008837, -0.284370, 0.630281, 0.091270, -0.507882, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.876562, 6.016630, 6.303286, 8.251594, 45.342222], [1.280152, 1.408484, 1.429493, 1.535215, 56.739401], [10.902493, 11.569006, 11.825619, 12.395498, 115.634447], [6.198669, 6.257687, 6.795535, 7.313121, 31.606849], [15.126027, 16.148966, 17.265739, 17.295688, 42.116607], [10.806581, 11.182399, 13.238984, 13.438482, 69.964964]]
### 6
mean: [-0.364659, 1.128529, -0.095125, -1.316353, -0.514484, 1.726653]
std: [0.842251, 0.664379, 0.405536, 0.910869, 0.987859, 1.244389]
pca: [[-0.391671, 0.199882, 0.272106, 0.574528, 0.343560, -0.533369, 0.000000, 0.000000, 0.000000, 0.000000], [0.301890, 0.595129, -0.465567, -0.311971, 0.179935, -0.456321, 0.000000, 0.000000, 0.000000, 0.000000], [0.185828, -0.234568, 0.630496, -0.566666, 0.297267, -0.321625, 0.000000, 0.000000, 0.000000, 0.000000], [-0.419568, -0.547758, -0.536686, -0.214114, 0.414678, -0.134499, 0.000000, 0.000000, 0.000000, 0.000000], [-0.457006, 0.488311, 0.145615, -0.287505, 0.397539, 0.539256, 0.000000, 0.000000, 0.000000, 0.000000], [0.579683, -0.111176, -0.049453, 0.350680, 0.656678, 0.308155, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.032931, 14.336038, 15.777909, 16.956188, 32.819308], [10.645089, 11.386825, 12.982765, 13.234896, 101.567634], [6.885237, 6.923411, 7.352708, 7.788080, 8.561252], [13.694003, 15.828170, 17.464769, 18.134446, 118.471783], [15.590120, 15.937581, 18.796342, 19.663195, 46.303579], [19.274725, 21.869123, 23.173591, 24.717526, 155.398778]]
### 8
mean: [2.028669, 1.536862, 0.514222, 0.990672, -1.004033, -1.216371]
std: [1.556299, 0.916986, 0.705905, 0.940287, 0.897908, 1.304307]
pca: [[0.585606, 0.014005, -0.255668, 0.725369, -0.171752, -0.189328, 0.000000, 0.000000, 0.000000, 0.000000], [0.343455, -0.262311, 0.554608, 0.054297, -0.197304, 0.681003, 0.000000, 0.000000, 0.000000, 0.000000], [0.249917, 0.820114, -0.207534, -0.264424, -0.233188, 0.312389, 0.000000, 0.000000, 0.000000, 0.000000], [0.353071, 0.210580, 0.231259, -0.006620, 0.881252, -0.029442, 0.000000, 0.000000, 0.000000, 0.000000], [-0.333538, 0.452925, 0.661119, 0.386234, -0.154249, -0.271226, 0.000000, 0.000000, 0.000000, 0.000000], [-0.490652, 0.094471, -0.305637, 0.501748, 0.277123, 0.573038, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.060212, 25.868009, 29.139240, 33.624177, 182.580235], [14.214256, 16.265201, 16.773482, 18.717443, 138.317594], [10.290950, 12.596171, 13.898601, 16.322737, 46.279938], [14.305385, 14.908789, 17.983729, 20.380735, 89.160507], [13.370633, 15.857190, 17.315350, 18.158889, 90.362993], [19.935050, 21.830242, 24.402190, 27.380643, 109.473355]]
### 10
mean: [-1.469947, 2.320261, -1.399808, 3.292745, 1.232978, -1.286008]
std: [1.311201, 1.191317, 1.054525, 1.846954, 1.066388, 1.140833]
pca: [[-0.414780, -0.058718, 0.895946, 0.064702, -0.032043, 0.128754, 0.000000, 0.000000, 0.000000, 0.000000], [0.373693, -0.467275, 0.013107, 0.258879, -0.307970, 0.692800, 0.000000, 0.000000, 0.000000, 0.000000], [-0.332232, -0.291277, -0.198113, 0.721456, 0.490727, -0.064951, 0.000000, 0.000000, 0.000000, 0.000000], [0.583723, -0.278382, 0.310761, -0.211959, 0.648358, -0.141081, 0.000000, 0.000000, 0.000000, 0.000000], [0.327107, 0.777542, 0.140449, 0.414649, 0.164977, 0.263729, 0.000000, 0.000000, 0.000000, 0.000000], [-0.360835, 0.106282, -0.203868, -0.437533, 0.464468, 0.640136, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.369271, 23.143981, 23.478738, 28.486376, 132.295188], [17.755460, 19.895460, 23.964912, 24.086486, 208.823453], [16.140896, 16.872021, 19.780099, 23.122822, 125.982687], [27.713407, 32.507479, 34.496219, 38.630312, 296.347039], [15.468837, 18.012592, 20.912803, 24.200344, 110.967973], [17.170428, 20.226988, 20.872581, 24.018859, 115.740702]]
### 12
mean: [-3.273257]
std: [2.077841]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.833600, 36.322693, 37.288207, 45.152417, 294.593191]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.01482,
0.028759,
-0.001721,
-0.146134,
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],
[
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0.433577,
0.460063
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[
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0.190185,
0.20141,
0.290885
],
[
0.103378,
-0.226709,
0.042813,
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[
-0.274938,
-0.27375,
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0.374822,
0.372587
],
[
-0.08059,
-0.055397,
0.333238,
0.227024,
-0.399074
]
],
"network.0.bias": [
-0.388471,
0.564416,
0.166767,
-0.284995,
0.040652,
-0.248326
],
"network.2.weight": [
[
0.29525,
0.456812,
0.071757,
0.043499,
0.232707,
-0.50118
],
[
0.730241,
-0.122436,
-0.183981,
0.39387,
0.149976,
-0.089704
],
[
-0.365163,
0.257216,
0.196706,
-0.476231,
-0.68578,
0.01161
],
[
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0.267876,
0.463509,
0.538262,
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],
[
-0.183271,
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0.357551,
0.020892,
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0.245861
],
[
-0.408117,
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-0.474479,
0.153219,
0.209744
]
],
"network.2.bias": [
0.288835,
-0.234012,
0.39443,
-0.251319,
0.170665,
0.516176
],
"network.4.weight": [
[
0.161719,
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0.475973,
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0.205768
],
[
0.240212,
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0.193141,
-0.147884
],
[
0.01441,
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0.618552,
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0.414257,
0.346096
],
[
-0.048265,
0.028811,
0.50619,
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0.225668
],
[
0.533698,
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0.221263,
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0.243666
],
[
-0.192144,
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0.437067,
-0.292453,
0.574815,
-0.095318
]
],
"network.4.bias": [
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0.640412
],
"network.6.weight": [
[
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[
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0.403515,
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0.003759
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[
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[
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[
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0.606006,
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[
0.341841,
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0.683401,
0.559568,
-0.607526,
0.477643
]
],
"network.6.bias": [
0.31299,
0.218535,
-0.367439,
-0.020701,
0.128075,
0.487145
],
"network.8.weight": [
[
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0.004094,
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0.694711
],
[
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0.285267,
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0.601925
],
[
-0.327297,
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0.0797
],
[
0.083002,
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0.495918
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[
-0.034881,
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0.227824,
0.33412,
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],
[
0.358711,
-0.333758,
-0.509572,
0.758196,
0.362273,
-0.617696
]
],
"network.8.bias": [
0.33748,
0.398361,
0.207261,
-0.001748,
0.319216,
0.216864
],
"network.10.weight": [
[
-0.636382,
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-0.561289,
-0.248177,
0.345053,
0.454816
],
[
0.456361,
0.253581,
0.372194,
0.490149,
-0.181349,
-0.162859
],
[
-0.390628,
0.032626,
0.096285,
-0.519644,
0.178555,
0.64813
],
[
0.686964,
0.598379,
0.443397,
0.33233,
0.12105,
-0.727575
],
[
0.082698,
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0.187438,
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],
[
-0.267103,
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-0.429746,
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0.18073,
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]
],
"network.10.bias": [
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0.265609,
0.440763
],
"network.12.weight": [
[
0.394283,
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0.363357,
-0.380786,
-0.559991,
0.425786
]
],
"network.12.bias": [
0.05666
]
}
## Activation Signature
### 0
mean: [-0.956287, 1.644693, 1.284838, -1.270629, -0.071128, 0.241186]
std: [0.599223, 1.419387, 1.076400, 0.879303, 1.422106, 0.924079]
pca: [[-0.239058, -0.013810, 0.140056, -0.102080, 0.954946, -0.026496, 0.000000, 0.000000, 0.000000, 0.000000], [0.613010, 0.000267, -0.265204, -0.597880, 0.140114, 0.420468, 0.000000, 0.000000, 0.000000, 0.000000], [0.376453, 0.547070, 0.011898, 0.650024, 0.178853, 0.323011, 0.000000, 0.000000, 0.000000, 0.000000], [-0.348592, -0.239338, 0.372545, 0.023599, -0.120176, 0.816953, 0.000000, 0.000000, 0.000000, 0.000000], [0.542966, -0.419773, 0.687577, 0.117218, 0.035910, -0.202947, 0.000000, 0.000000, 0.000000, 0.000000], [-0.094997, 0.683397, 0.546222, -0.441918, -0.143963, -0.097822, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.832964, 9.623199, 10.604215, 12.138836, 86.065828], [21.344927, 21.423556, 23.404368, 25.413558, 148.022347], [15.281542, 15.413987, 19.721101, 20.595213, 115.635456], [13.714620, 14.287899, 15.132601, 15.633875, 114.356580], [20.481941, 22.193854, 23.171726, 25.201427, 27.117929], [13.234440, 13.866508, 16.397731, 17.700979, 21.706715]]
### 2
mean: [0.970057, -0.768279, 0.874197, 0.443346, 0.428072, 1.377556]
std: [0.955950, 0.261037, 0.417975, 1.145939, 0.378533, 0.589171]
pca: [[0.606305, -0.089661, 0.298845, -0.262405, 0.334396, 0.595290, 0.000000, 0.000000, 0.000000, 0.000000], [-0.075544, -0.375306, -0.051953, 0.155975, 0.836938, -0.354889, 0.000000, 0.000000, 0.000000, 0.000000], [-0.046667, 0.499974, 0.792359, 0.058355, 0.123263, -0.318460, 0.000000, 0.000000, 0.000000, 0.000000], [0.730566, -0.091776, -0.051712, 0.508863, -0.233010, -0.376750, 0.000000, 0.000000, 0.000000, 0.000000], [-0.074753, 0.549287, -0.275872, 0.609150, 0.281757, 0.407603, 0.000000, 0.000000, 0.000000, 0.000000], [0.291881, 0.539438, -0.448754, -0.522882, 0.197079, -0.331944, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.260855, 16.328594, 16.493250, 17.944342, 87.305100], [4.151511, 4.160388, 4.403728, 4.638041, 69.145131], [6.932352, 7.046703, 7.152509, 8.831486, 78.677700], [19.738255, 20.526308, 21.357886, 21.761259, 39.901162], [5.351874, 5.768307, 6.717408, 7.422529, 38.526449], [8.656326, 9.023250, 9.776102, 10.788834, 123.980019]]
### 4
mean: [0.503802, -0.630438, 1.284827, 0.351187, 0.467962, 0.777389]
std: [0.365203, 0.081689, 0.640022, 0.356360, 0.912873, 0.675143]
pca: [[-0.244935, 0.308513, 0.809874, -0.021562, -0.323734, -0.289243, 0.000000, 0.000000, 0.000000, 0.000000], [0.057863, 0.020644, 0.052662, 0.629013, -0.477542, 0.608069, 0.000000, 0.000000, 0.000000, 0.000000], [-0.441733, 0.590067, -0.432113, -0.363918, -0.323016, 0.182200, 0.000000, 0.000000, 0.000000, 0.000000], [-0.241367, 0.361259, 0.241693, 0.144425, 0.743110, 0.423966, 0.000000, 0.000000, 0.000000, 0.000000], [0.654023, 0.652402, -0.123803, 0.230929, 0.047629, -0.275140, 0.000000, 0.000000, 0.000000, 0.000000], [-0.505497, 0.008837, -0.284370, 0.630281, 0.091270, -0.507882, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.876562, 6.016630, 6.303286, 8.251594, 45.342222], [1.280152, 1.408484, 1.429493, 1.535215, 56.739401], [10.902493, 11.569006, 11.825619, 12.395498, 115.634447], [6.198669, 6.257687, 6.795535, 7.313121, 31.606849], [15.126027, 16.148966, 17.265739, 17.295688, 42.116607], [10.806581, 11.182399, 13.238984, 13.438482, 69.964964]]
### 6
mean: [-0.364659, 1.128529, -0.095125, -1.316353, -0.514484, 1.726653]
std: [0.842251, 0.664379, 0.405536, 0.910869, 0.987859, 1.244389]
pca: [[-0.391671, 0.199882, 0.272106, 0.574528, 0.343560, -0.533369, 0.000000, 0.000000, 0.000000, 0.000000], [0.301890, 0.595129, -0.465567, -0.311971, 0.179935, -0.456321, 0.000000, 0.000000, 0.000000, 0.000000], [0.185828, -0.234568, 0.630496, -0.566666, 0.297267, -0.321625, 0.000000, 0.000000, 0.000000, 0.000000], [-0.419568, -0.547758, -0.536686, -0.214114, 0.414678, -0.134499, 0.000000, 0.000000, 0.000000, 0.000000], [-0.457006, 0.488311, 0.145615, -0.287505, 0.397539, 0.539256, 0.000000, 0.000000, 0.000000, 0.000000], [0.579683, -0.111176, -0.049453, 0.350680, 0.656678, 0.308155, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.032931, 14.336038, 15.777909, 16.956188, 32.819308], [10.645089, 11.386825, 12.982765, 13.234896, 101.567634], [6.885237, 6.923411, 7.352708, 7.788080, 8.561252], [13.694003, 15.828170, 17.464769, 18.134446, 118.471783], [15.590120, 15.937581, 18.796342, 19.663195, 46.303579], [19.274725, 21.869123, 23.173591, 24.717526, 155.398778]]
### 8
mean: [2.028669, 1.536862, 0.514222, 0.990672, -1.004033, -1.216371]
std: [1.556299, 0.916986, 0.705905, 0.940287, 0.897908, 1.304307]
pca: [[0.585606, 0.014005, -0.255668, 0.725369, -0.171752, -0.189328, 0.000000, 0.000000, 0.000000, 0.000000], [0.343455, -0.262311, 0.554608, 0.054297, -0.197304, 0.681003, 0.000000, 0.000000, 0.000000, 0.000000], [0.249917, 0.820114, -0.207534, -0.264424, -0.233188, 0.312389, 0.000000, 0.000000, 0.000000, 0.000000], [0.353071, 0.210580, 0.231259, -0.006620, 0.881252, -0.029442, 0.000000, 0.000000, 0.000000, 0.000000], [-0.333538, 0.452925, 0.661119, 0.386234, -0.154249, -0.271226, 0.000000, 0.000000, 0.000000, 0.000000], [-0.490652, 0.094471, -0.305637, 0.501748, 0.277123, 0.573038, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.060212, 25.868009, 29.139240, 33.624177, 182.580235], [14.214256, 16.265201, 16.773482, 18.717443, 138.317594], [10.290950, 12.596171, 13.898601, 16.322737, 46.279938], [14.305385, 14.908789, 17.983729, 20.380735, 89.160507], [13.370633, 15.857190, 17.315350, 18.158889, 90.362993], [19.935050, 21.830242, 24.402190, 27.380643, 109.473355]]
### 10
mean: [-1.469947, 2.320261, -1.399808, 3.292745, 1.232978, -1.286008]
std: [1.311201, 1.191317, 1.054525, 1.846954, 1.066388, 1.140833]
pca: [[-0.414780, -0.058718, 0.895946, 0.064702, -0.032043, 0.128754, 0.000000, 0.000000, 0.000000, 0.000000], [0.373693, -0.467275, 0.013107, 0.258879, -0.307970, 0.692800, 0.000000, 0.000000, 0.000000, 0.000000], [-0.332232, -0.291277, -0.198113, 0.721456, 0.490727, -0.064951, 0.000000, 0.000000, 0.000000, 0.000000], [0.583723, -0.278382, 0.310761, -0.211959, 0.648358, -0.141081, 0.000000, 0.000000, 0.000000, 0.000000], [0.327107, 0.777542, 0.140449, 0.414649, 0.164977, 0.263729, 0.000000, 0.000000, 0.000000, 0.000000], [-0.360835, 0.106282, -0.203868, -0.437533, 0.464468, 0.640136, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.369271, 23.143981, 23.478738, 28.486376, 132.295188], [17.755460, 19.895460, 23.964912, 24.086486, 208.823453], [16.140896, 16.872021, 19.780099, 23.122822, 125.982687], [27.713407, 32.507479, 34.496219, 38.630312, 296.347039], [15.468837, 18.012592, 20.912803, 24.200344, 110.967973], [17.170428, 20.226988, 20.872581, 24.018859, 115.740702]]
### 12
mean: [-3.273257]
std: [2.077841]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.833600, 36.322693, 37.288207, 45.152417, 294.593191]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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"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": [[0.01482, 0.028759, -0.001721, -0.146134, -0.260832], [-0.06866, 0.133663, -0.275283, 0.433577, 0.460063], [-0.368017, 0.212983, 0.190185, 0.20141, 0.290885], [0.103378, -0.226709, 0.042813, -0.187229, -0.315483], [-0.274938, -0.27375, -0.255691, 0.374822, 0.372587], [-0.08059, -0.055397, 0.333238, 0.227024, -0.399074]], "network.0.bias": [-0.388471, 0.564416, 0.166767, -0.284995, 0.040652, -0.248326], "network.2.weight": [[0.29525, 0.456812, 0.071757, 0.043499, 0.232707, -0.50118], [0.730241, -0.122436, -0.183981, 0.39387, 0.149976, -0.089704], [-0.365163, 0.257216, 0.196706, -0.476231, -0.68578, 0.01161], [0.316868, 0.295553, 0.267876, 0.463509, 0.538262, -0.635448], [-0.183271, -0.158346, 0.357551, 0.020892, -0.121671, 0.245861], [-0.408117, 0.174195, 0.272908, -0.474479, 0.153219, 0.209744]], "network.2.bias": [0.288835, -0.234012, 0.39443, -0.251319, 0.170665, 0.516176], "network.4.weight": [[0.161719, -0.248654, 0.475973, -0.484776, -0.145714, 0.205768], [0.240212, -0.061466, -0.084824, -0.062336, 0.193141, -0.147884], [0.01441, -0.446032, 0.618552, -0.534992, 0.414257, 0.346096], [-0.048265, 0.028811, 0.50619, -0.272947, -0.047097, 0.225668], [0.533698, -0.55354, -0.236197, 0.221263, -0.382604, 0.243666], [-0.192144, -0.43272, 0.437067, -0.292453, 0.574815, -0.095318]], "network.4.bias": [0.006519, -0.634183, 0.447814, -0.104428, -0.21279, 0.640412], "network.6.weight": [[-0.356502, -0.026329, -0.360014, -0.369381, 0.465745, -0.307376], [0.569404, 0.249105, 0.573871, 0.403515, -0.158549, 0.003759], [0.079725, -0.022623, -0.115241, 0.409628, -0.201134, 0.492831], [-0.70061, -0.327654, -0.575808, -0.323439, 0.180527, -0.522648], [-0.186676, -0.439073, -0.481738, -0.177834, 0.606006, -0.402273], [0.341841, -0.397625, 0.683401, 0.559568, -0.607526, 0.477643]], "network.6.bias": [0.31299, 0.218535, -0.367439, -0.020701, 0.128075, 0.487145], "network.8.weight": [[-0.538879, 0.523176, -0.249251, 0.004094, -0.701367, 0.694711], [-0.423359, 0.067944, 0.285267, -0.429274, -0.027519, 0.601925], [-0.327297, 0.186255, -0.042559, -0.757941, -0.385402, 0.0797], [0.083002, 0.130446, -0.022847, -0.569922, -0.661254, 0.495918], [-0.034881, -0.650396, 0.180239, 0.227824, 0.33412, -0.371508], [0.358711, -0.333758, -0.509572, 0.758196, 0.362273, -0.617696]], "network.8.bias": [0.33748, 0.398361, 0.207261, -0.001748, 0.319216, 0.216864], "network.10.weight": [[-0.636382, -0.031027, -0.561289, -0.248177, 0.345053, 0.454816], [0.456361, 0.253581, 0.372194, 0.490149, -0.181349, -0.162859], [-0.390628, 0.032626, 0.096285, -0.519644, 0.178555, 0.64813], [0.686964, 0.598379, 0.443397, 0.33233, 0.12105, -0.727575], [0.082698, 0.322105, 0.383499, 0.187438, -0.409851, -0.736915], [-0.267103, -0.292257, -0.429746, -0.510718, 0.18073, 0.364246]], "network.10.bias": [0.454773, 0.262009, -0.192598, 0.4042, 0.265609, 0.440763], "network.12.weight": [[0.394283, -0.604477, 0.363357, -0.380786, -0.559991, 0.425786]], "network.12.bias": [0.05666]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6851378977298737, "train_acc": 0.57, "val_loss": 0.719968855381012, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6790725886821747, "train_acc": 0.57, "val_loss": 0.7032504081726074, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6531262695789337, "train_acc": 0.57, "val_loss": 0.6065341830253601, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5470386445522308, "train_acc": 0.62, "val_loss": 0.4272097051143646, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.3728583753108978, "train_acc": 0.855, "val_loss": 0.43870604038238525, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.36904045939445496, "train_acc": 0.865, "val_loss": 0.46069687604904175, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3458348363637924, "train_acc": 0.875, "val_loss": 0.5206247568130493, "val_acc": 0.84}], "summary": {"total_epochs": 7, "degraded_epochs": 3, "improved_epochs": 4, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.719968855381012, "final_val_loss": 0.6065341830253601, "initial_val_acc": 0.48, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.4272097051143646, "final_val_loss": 0.5206247568130493, "initial_val_acc": 0.82, "final_val_acc": 0.84, "best_val_acc": 0.84, "best_epoch": 4}, "improvement": 0.2799999999999999, "first_improvement_epoch": 2}}
|
9,733
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.78, "improved_accuracy": 0.98, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9589, "learning_rate": 0.04918338584571294, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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}
## Activation Signature
### 0
mean: [2.436268, -2.050180, -2.544332, 0.708477, -1.845137]
std: [3.148365, 1.333546, 2.138717, 1.843956, 3.201073]
pca: [[-0.602799, -0.584037, 0.310151, 0.433753, 0.105828, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.129698, 0.041513, -0.572907, 0.730283, -0.346294, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.456351, -0.061139, 0.025811, 0.332734, 0.822574, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.048934, 0.661520, 0.619347, 0.406052, -0.107368, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.639657, -0.464576, 0.437409, 0.054366, -0.425118, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.089571, 50.760195, 57.059063, 64.063073, 219.264074], [20.386447, 20.863884, 27.382475, 27.385100, 184.516245], [33.952025, 34.990472, 36.047784, 39.849312, 228.989869], [25.347619, 27.602823, 30.889440, 34.476811, 63.762909], [53.293048, 53.440362, 59.467615, 67.412257, 166.062355]]
### 2
mean: [-1.537687, -2.525756, 1.515229, 3.939953, -0.778676]
std: [2.245687, 3.141184, 2.028686, 2.905268, 0.450201]
pca: [[0.433476, 0.096925, 0.605994, 0.581683, -0.311641, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.604404, 0.387629, 0.169068, -0.399538, 0.544265, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.382818, -0.415675, 0.720451, -0.213529, 0.340618, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.543908, 0.765780, 0.131988, 0.246671, 0.198692, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.066397, -0.284860, -0.260226, 0.628946, 0.671682, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.825586, 36.194874, 38.195468, 38.670171, 138.391839], [49.068961, 49.557768, 53.482893, 57.529353, 227.318012], [31.471103, 32.074888, 34.295541, 39.367623, 136.370627], [43.709764, 44.083718, 51.247135, 52.984980, 354.595805], [7.508936, 7.798738, 7.968021, 8.690814, 70.080801]]
### 4
mean: [0.112739, -0.867938, 3.329490, 3.612077, -0.818647]
std: [0.672796, 0.815575, 2.295674, 3.072614, 0.496781]
pca: [[-0.034777, 0.756923, 0.113252, 0.275968, -0.580408, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.207656, 0.047459, -0.224468, 0.846580, 0.433062, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.579577, 0.474302, 0.286021, -0.109222, 0.587700, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.786040, -0.320958, -0.215296, 0.332532, -0.349567, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.043607, -0.311188, 0.899237, 0.290923, -0.089425, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.176488, 9.911347, 10.146550, 11.771133, 12.578710], [13.423611, 13.423841, 13.620833, 14.989338, 78.114436], [37.056760, 37.697806, 38.273837, 40.589536, 299.654124], [48.607210, 49.245369, 50.561131, 57.834116, 325.086921], [7.143053, 8.002915, 8.083149, 10.124652, 73.678226]]
### 6
mean: [-2.880719, 3.233380, -2.492855, 1.262840, 4.350009]
std: [2.150051, 2.623375, 1.958012, 0.754033, 3.172621]
pca: [[-0.422421, -0.406116, 0.021338, -0.180018, 0.789790, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.522734, -0.116659, -0.405759, 0.638065, 0.375996, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.388765, -0.199138, 0.525472, 0.711867, -0.162269, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.012249, 0.826407, 0.334219, 0.092256, 0.443495, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.630097, -0.314413, 0.668642, -0.212607, 0.108810, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.387442, 35.390734, 36.659917, 38.166596, 259.264712], [41.627139, 41.789016, 43.613394, 49.040105, 291.004214], [31.335989, 31.694755, 34.235429, 34.904582, 224.356939], [11.531428, 11.913148, 12.535125, 13.054811, 113.655643], [50.080708, 51.129958, 51.973042, 59.749380, 391.500824]]
### 8
mean: [-4.707724]
std: [4.416768]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[70.023587, 73.343006, 74.262170, 85.096484, 423.695170]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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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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}
## Activation Signature
### 0
mean: [2.436268, -2.050180, -2.544332, 0.708477, -1.845137]
std: [3.148365, 1.333546, 2.138717, 1.843956, 3.201073]
pca: [[-0.602799, -0.584037, 0.310151, 0.433753, 0.105828, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.129698, 0.041513, -0.572907, 0.730283, -0.346294, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.456351, -0.061139, 0.025811, 0.332734, 0.822574, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.048934, 0.661520, 0.619347, 0.406052, -0.107368, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.639657, -0.464576, 0.437409, 0.054366, -0.425118, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.089571, 50.760195, 57.059063, 64.063073, 219.264074], [20.386447, 20.863884, 27.382475, 27.385100, 184.516245], [33.952025, 34.990472, 36.047784, 39.849312, 228.989869], [25.347619, 27.602823, 30.889440, 34.476811, 63.762909], [53.293048, 53.440362, 59.467615, 67.412257, 166.062355]]
### 2
mean: [-1.537687, -2.525756, 1.515229, 3.939953, -0.778676]
std: [2.245687, 3.141184, 2.028686, 2.905268, 0.450201]
pca: [[0.433476, 0.096925, 0.605994, 0.581683, -0.311641, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.604404, 0.387629, 0.169068, -0.399538, 0.544265, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.382818, -0.415675, 0.720451, -0.213529, 0.340618, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.543908, 0.765780, 0.131988, 0.246671, 0.198692, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.066397, -0.284860, -0.260226, 0.628946, 0.671682, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.825586, 36.194874, 38.195468, 38.670171, 138.391839], [49.068961, 49.557768, 53.482893, 57.529353, 227.318012], [31.471103, 32.074888, 34.295541, 39.367623, 136.370627], [43.709764, 44.083718, 51.247135, 52.984980, 354.595805], [7.508936, 7.798738, 7.968021, 8.690814, 70.080801]]
### 4
mean: [0.112739, -0.867938, 3.329490, 3.612077, -0.818647]
std: [0.672796, 0.815575, 2.295674, 3.072614, 0.496781]
pca: [[-0.034777, 0.756923, 0.113252, 0.275968, -0.580408, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.207656, 0.047459, -0.224468, 0.846580, 0.433062, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.579577, 0.474302, 0.286021, -0.109222, 0.587700, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.786040, -0.320958, -0.215296, 0.332532, -0.349567, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.043607, -0.311188, 0.899237, 0.290923, -0.089425, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.176488, 9.911347, 10.146550, 11.771133, 12.578710], [13.423611, 13.423841, 13.620833, 14.989338, 78.114436], [37.056760, 37.697806, 38.273837, 40.589536, 299.654124], [48.607210, 49.245369, 50.561131, 57.834116, 325.086921], [7.143053, 8.002915, 8.083149, 10.124652, 73.678226]]
### 6
mean: [-2.880719, 3.233380, -2.492855, 1.262840, 4.350009]
std: [2.150051, 2.623375, 1.958012, 0.754033, 3.172621]
pca: [[-0.422421, -0.406116, 0.021338, -0.180018, 0.789790, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.522734, -0.116659, -0.405759, 0.638065, 0.375996, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.388765, -0.199138, 0.525472, 0.711867, -0.162269, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.012249, 0.826407, 0.334219, 0.092256, 0.443495, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.630097, -0.314413, 0.668642, -0.212607, 0.108810, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.387442, 35.390734, 36.659917, 38.166596, 259.264712], [41.627139, 41.789016, 43.613394, 49.040105, 291.004214], [31.335989, 31.694755, 34.235429, 34.904582, 224.356939], [11.531428, 11.913148, 12.535125, 13.054811, 113.655643], [50.080708, 51.129958, 51.973042, 59.749380, 391.500824]]
### 8
mean: [-4.707724]
std: [4.416768]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[70.023587, 73.343006, 74.262170, 85.096484, 423.695170]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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38.19546756528224, 38.67017058224739, 138.3918390572071]}, "1": {"mean": -2.5257558822631836, "std": 3.1411843299865723, "pca": [0.6044042706489563, 0.38762906193733215, 0.16906794905662537, -0.39953792095184326, 0.5442652702331543, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [49.06896052569394, 49.55776848694074, 53.48289323565265, 57.529353265105385, 227.31801214721054]}, "2": {"mean": 1.515229344367981, "std": 2.0286855697631836, "pca": [-0.382818341255188, -0.4156748652458191, 0.7204506397247314, -0.21352893114089966, 0.3406182825565338, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [31.471103064682943, 32.074887572581936, 34.295541332103056, 39.3676227559588, 136.37062703445554]}, "3": {"mean": 3.939953327178955, "std": 2.905268430709839, "pca": [-0.543907642364502, 0.7657797336578369, 0.13198809325695038, 0.2466709315776825, 0.19869181513786316, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [43.709763902633966, 44.08371810845031, 51.24713492273436, 52.984980431082455, 354.59580540657043]}, "4": {"mean": 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74.26216994147636, 85.09648412601423, 423.6951697766781]}}, "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": [[0.648544, 0.835941, 0.750798, -0.499632, -0.010543], [-0.441142, 0.080737, -0.056604, -0.337855, -0.29261], [-0.671879, -0.629681, -0.070203, -0.081575, 0.290883], [-0.470175, 0.717694, -0.211218, 0.334546, 0.363923], [-0.67427, -1.282486, 0.206324, -0.049787, 0.660571]], "network.0.bias": [-0.377978, -0.444689, -0.597973, -0.739256, 0.192001], "network.2.weight": [[-0.74022, -0.043727, -0.167119, -0.221019, 0.581803], [-1.034226, -0.433156, 0.334746, -0.088781, 0.82887], [0.665011, 0.401099, -0.098016, -0.159588, -0.465362], [0.98905, 0.442371, 0.252885, 0.484086, 0.358631], [-0.135213, -0.057253, -0.373015, -0.092883, -0.27185]], "network.2.bias": [0.47072, 0.022466, 0.092368, 0.623204, -0.208958], "network.4.weight": [[0.930842, 0.700309, 0.029616, 0.008725, 0.062307], [0.305435, -0.211191, -0.394861, -0.014982, -0.069891], [0.368497, 0.672873, 0.823922, 0.295028, -0.634561], [-0.589804, -0.194872, 0.716383, 0.564229, 0.005181], [0.165508, -0.384606, 0.50996, -0.395826, 0.03939]], "network.4.bias": [-0.258467, -0.194588, 0.651275, 0.367346, -0.066034], "network.6.weight": [[-0.376162, -0.210865, -0.440155, -0.389121, 0.060627], [0.047179, 0.445593, 0.052093, 0.819277, 0.329862], [-0.368348, 0.043939, -0.134132, -0.55731, -0.135074], [0.618781, -0.020028, 0.606567, -0.39036, -0.215471], [-0.504561, -0.447013, 0.342975, 0.752949, -0.247255]], "network.6.bias": [0.070484, 0.090592, 0.045289, 0.521411, 0.595907], "network.8.weight": [[0.437865, -0.706066, 0.101821, 0.705054, -0.800785]], "network.8.bias": [0.168308]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6816334426403046, "train_acc": 0.555, "val_loss": 0.6548272967338562, "val_acc": 0.68}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.619782418012619, "train_acc": 0.79, "val_loss": 0.5763339400291443, "val_acc": 0.78}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5053935945034027, "train_acc": 0.865, "val_loss": 0.3955538868904114, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.3398813158273697, "train_acc": 0.865, "val_loss": 0.4000692665576935, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.2818150147795677, "train_acc": 0.855, "val_loss": 0.21789532899856567, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.31843285262584686, "train_acc": 0.865, "val_loss": 0.38734763860702515, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.23443225771188736, "train_acc": 0.88, "val_loss": 0.20622558891773224, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.22513162344694138, "train_acc": 0.885, "val_loss": 0.23585054278373718, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.21850328147411346, "train_acc": 0.905, "val_loss": 0.2337936908006668, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2153548002243042, "train_acc": 0.91, "val_loss": 0.167412668466568, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.17238067835569382, "train_acc": 0.915, "val_loss": 0.2046513706445694, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.19870470464229584, "train_acc": 0.915, "val_loss": 0.11195553094148636, "val_acc": 0.98}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6548272967338562, "final_val_loss": 0.5763339400291443, "initial_val_acc": 0.68, "final_val_acc": 0.78, "best_val_acc": 0.78}, "improved_stage": {"initial_val_loss": 0.3955538868904114, "final_val_loss": 0.11195553094148636, "initial_val_acc": 0.82, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 11}, "improvement": 0.19999999999999996, "first_improvement_epoch": 1}}
|
9,734
|
{"target_pattern": "sorted_descending", "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": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2504, "learning_rate": 0.08704829341398172, "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: 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.10.weight": [
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"network.12.weight": [
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [-2.373672, -2.665705, 1.515274, -0.369462, -0.458018, -3.512381, 0.602566, 1.023423]
std: [1.908822, 1.891801, 1.067380, 1.332371, 0.890336, 2.044056, 0.787743, 1.796165]
pca: [[0.476402, 0.416920, -0.328302, -0.059197, -0.147921, 0.486997, -0.422885, -0.223728, 0.000000, 0.000000], [0.516374, -0.332909, -0.125032, -0.197639, -0.208806, 0.263889, 0.545614, 0.396110, 0.000000, 0.000000], [-0.158010, -0.255477, -0.438878, 0.612536, -0.051548, 0.095503, -0.304647, 0.487197, 0.000000, 0.000000], [0.023769, -0.421318, 0.649827, 0.233067, -0.242357, 0.450637, -0.228086, -0.177474, 0.000000, 0.000000], [0.128627, 0.263157, -0.004175, 0.692158, 0.073638, 0.062504, 0.545972, -0.357337, 0.000000, 0.000000], [0.593441, 0.102377, 0.372258, 0.184690, 0.452636, -0.324746, -0.241574, 0.309779, 0.000000, 0.000000], [-0.159324, -0.165611, -0.095620, -0.120698, 0.809068, 0.511417, 0.075617, -0.040266, 0.000000, 0.000000], [-0.294560, 0.604493, 0.337579, -0.012364, -0.090734, 0.331794, 0.128373, 0.546727, 0.000000, 0.000000]]
fourier: [[31.439035, 31.603588, 32.305281, 33.892143, 213.630477], [30.837932, 31.051848, 33.647474, 37.227997, 239.913474], [16.038397, 16.611772, 17.309927, 18.938945, 136.374698], [21.191974, 21.486188, 21.651735, 21.833399, 33.251612], [14.430065, 14.744026, 16.181287, 17.481408, 41.221622], [31.555715, 36.171141, 37.679256, 37.880638, 316.114354], [12.320557, 12.908031, 13.885249, 14.870402, 54.230954], [28.547298, 32.614229, 34.142869, 35.354399, 92.108098]]
### 2
mean: [-0.009611, -0.981935, 0.337447, -0.213164, 0.208199, 0.941399, 0.000314, 1.320936]
std: [0.270144, 0.615372, 0.758902, 0.531412, 1.223966, 0.936850, 0.383044, 0.877896]
pca: [[0.109919, -0.134187, 0.115010, -0.424393, 0.472605, 0.421282, 0.115694, 0.601960, 0.000000, 0.000000], [-0.264978, -0.442152, -0.211822, 0.071776, -0.395740, 0.397862, 0.606204, -0.043359, 0.000000, 0.000000], [0.378193, 0.205539, 0.125496, -0.311046, -0.461493, 0.578435, -0.302937, -0.250783, 0.000000, 0.000000], [-0.158415, -0.345013, 0.713649, 0.477056, 0.041522, 0.231412, -0.252356, 0.005950, 0.000000, 0.000000], [0.614403, 0.284181, 0.291265, 0.323261, -0.076729, -0.096505, 0.562815, 0.143022, 0.000000, 0.000000], [-0.438739, 0.529075, 0.024989, 0.152232, -0.396965, 0.068793, -0.078048, 0.579123, 0.000000, 0.000000], [0.115115, 0.174374, -0.504487, 0.584150, 0.345989, 0.465265, -0.150460, -0.042264, 0.000000, 0.000000], [-0.407853, 0.483871, 0.277296, -0.146645, 0.349511, 0.213475, 0.343782, -0.463909, 0.000000, 0.000000]]
fourier: [[3.776058, 4.275763, 4.657154, 4.857551, 4.910830], [9.921683, 10.626177, 11.855830, 11.877299, 88.374101], [12.758895, 13.067214, 14.352159, 15.232592, 30.370253], [8.678526, 8.886102, 9.932439, 10.882730, 19.184800], [19.143428, 19.263149, 20.972472, 22.849039, 25.284918], [14.617083, 15.727027, 15.949530, 17.779931, 84.725902], [5.721917, 5.725879, 5.764186, 6.442981, 8.261172], [13.918625, 14.053744, 15.527979, 16.791515, 118.884243]]
### 4
mean: [-0.210630, 0.637323, 1.091110, -0.455072, 0.837398, 0.141651, 0.228401, 0.823810]
std: [0.720758, 1.197250, 1.479810, 0.627166, 1.596697, 0.953414, 0.210419, 1.029418]
pca: [[-0.239439, -0.208836, -0.068709, 0.601338, 0.128903, 0.556291, 0.404303, 0.207825, 0.000000, 0.000000], [0.399622, 0.252269, -0.148303, 0.235508, -0.179258, -0.264781, 0.015885, 0.772470, 0.000000, 0.000000], [0.494335, -0.225645, -0.502061, 0.340148, 0.268141, -0.281735, 0.102289, -0.418586, 0.000000, 0.000000], [-0.202109, -0.397023, -0.334283, -0.267761, 0.549700, 0.025802, -0.397778, 0.396258, 0.000000, 0.000000], [0.534141, 0.127577, 0.552443, -0.060795, 0.562270, 0.269288, 0.001661, 0.029355, 0.000000, 0.000000], [-0.303889, 0.710694, -0.143106, 0.355069, 0.329411, -0.030808, -0.357321, -0.137380, 0.000000, 0.000000], [0.036613, 0.401600, -0.449221, -0.514097, 0.147718, 0.228456, 0.544788, 0.021783, 0.000000, 0.000000], [0.344616, 0.039493, -0.286362, -0.038295, -0.361526, 0.643998, -0.493073, -0.087492, 0.000000, 0.000000]]
fourier: [[10.930873, 11.415892, 13.787642, 14.275213, 18.956709], [17.926412, 19.528515, 23.066082, 23.955370, 57.359078], [21.255797, 24.969870, 27.880388, 30.838517, 98.199862], [9.802354, 10.330352, 11.072699, 12.319658, 40.956524], [23.397962, 27.255771, 30.568593, 31.875271, 75.365854], [14.636646, 15.313587, 16.752862, 17.761951, 19.005247], [3.245106, 3.453964, 3.526750, 4.364678, 20.556122], [14.954301, 16.907837, 19.609718, 21.183270, 74.142929]]
### 6
mean: [0.817161, 1.468137, 1.001326, 0.173989, 0.636669, -1.229976, 1.724172, 1.915772]
std: [0.346070, 1.705145, 1.262084, 0.639103, 0.960043, 1.770522, 1.945774, 1.893450]
pca: [[0.016870, 0.625934, 0.022215, 0.042422, -0.427155, 0.639187, 0.113096, -0.042616, 0.000000, 0.000000], [0.424149, -0.024024, 0.315886, -0.058886, -0.335827, -0.348471, 0.682237, -0.128876, 0.000000, 0.000000], [0.313843, -0.052576, -0.382625, -0.097177, -0.149491, 0.008440, 0.062436, 0.846508, 0.000000, 0.000000], [0.136710, -0.600551, -0.376396, -0.299787, -0.367785, 0.352451, -0.026578, -0.359037, 0.000000, 0.000000], [0.231964, -0.416762, 0.604374, 0.428870, -0.037211, 0.375190, -0.187943, 0.214078, 0.000000, 0.000000], [-0.439424, -0.222335, -0.103689, 0.141638, 0.343524, 0.339071, 0.691456, 0.124784, 0.000000, 0.000000], [0.483845, 0.090248, -0.459453, 0.638815, 0.253323, 0.014698, 0.051940, -0.267362, 0.000000, 0.000000], [0.470764, 0.113731, 0.156621, -0.532299, 0.602975, 0.299603, 0.032006, -0.056649, 0.000000, 0.000000]]
fourier: [[5.798227, 5.954654, 5.967267, 6.039336, 73.544511], [24.149182, 24.498176, 33.186966, 37.184312, 132.132352], [18.193230, 18.259074, 24.692392, 27.089628, 90.119366], [9.894651, 11.686873, 12.074721, 12.333524, 15.658982], [14.385779, 15.614054, 18.473831, 20.832487, 57.300239], [25.375043, 25.525807, 34.375106, 38.155548, 110.697832], [27.990980, 28.276572, 37.807022, 41.791918, 155.175455], [27.002171, 27.282337, 36.778444, 41.026802, 172.419463]]
### 8
mean: [1.712613, 3.358212, -1.528523, -1.793480, -1.655658, 1.343835, -2.467945, 1.493144]
std: [1.719899, 3.401520, 2.393877, 1.334960, 1.395288, 1.673710, 2.742921, 1.669642]
pca: [[0.282503, 0.088069, 0.562426, -0.454957, 0.202963, 0.181820, 0.369651, -0.422177, 0.000000, 0.000000], [0.558763, 0.223938, -0.133312, 0.043737, -0.251444, -0.024340, 0.526888, 0.525854, 0.000000, 0.000000], [-0.392613, 0.634925, -0.485867, -0.204732, 0.026335, 0.034427, 0.311186, -0.256960, 0.000000, 0.000000], [-0.218253, -0.603477, -0.173715, -0.225250, -0.488308, -0.204690, 0.428306, -0.208513, 0.000000, 0.000000], [-0.228851, -0.364328, -0.177882, -0.088459, 0.674302, 0.280114, 0.331258, 0.364069, 0.000000, 0.000000], [0.274903, -0.146869, -0.314158, 0.327672, -0.134633, 0.738113, -0.000804, -0.365865, 0.000000, 0.000000], [-0.450581, 0.124633, 0.490758, 0.593733, -0.151626, 0.138444, 0.377869, 0.056031, 0.000000, 0.000000], [0.274277, -0.070308, -0.168763, 0.480350, 0.400804, -0.529929, 0.230103, -0.407671, 0.000000, 0.000000]]
fourier: [[24.240762, 24.675601, 33.554889, 37.022617, 154.135206], [48.086027, 48.911282, 66.022375, 72.649722, 302.239108], [33.794841, 34.400672, 46.797395, 51.874830, 137.567100], [18.951905, 19.004843, 25.758279, 28.042824, 161.413168], [19.848818, 20.152697, 27.061825, 29.579992, 149.009238], [23.654203, 24.060097, 32.436148, 35.881147, 120.945139], [38.460301, 39.395428, 53.256132, 58.749006, 222.115055], [23.671498, 23.925279, 32.419390, 35.720754, 134.382945]]
### 10
mean: [-1.138301, -1.799438, 1.580678, -1.376504, -0.181335, 0.749418, 3.372467, -1.232074]
std: [1.360258, 2.157621, 1.815182, 0.806638, 0.559972, 0.723338, 3.688430, 1.899248]
pca: [[-0.253229, -0.370372, 0.107462, -0.313664, 0.486716, 0.562781, -0.243799, -0.275161, 0.000000, 0.000000], [-0.406083, 0.151459, 0.267983, -0.351380, 0.430101, -0.336532, 0.426971, 0.369228, 0.000000, 0.000000], [0.341698, 0.108638, 0.116303, 0.562607, 0.699744, -0.148164, -0.170174, 0.028875, 0.000000, 0.000000], [-0.133961, 0.681152, 0.508700, 0.137912, -0.123908, 0.377467, 0.084767, -0.274354, 0.000000, 0.000000], [-0.095603, -0.422803, 0.522174, 0.124817, -0.136036, -0.466441, 0.064017, -0.532618, 0.000000, 0.000000], [0.131339, -0.344212, 0.024527, 0.334327, -0.016731, 0.404280, 0.761168, 0.093773, 0.000000, 0.000000], [0.694671, -0.086785, 0.489898, -0.431242, -0.069145, 0.082078, -0.062832, 0.261661, 0.000000, 0.000000], [-0.356807, -0.243596, 0.362033, 0.359553, -0.222618, 0.133577, -0.367002, 0.592378, 0.000000, 0.000000]]
fourier: [[19.285226, 19.879936, 26.712413, 30.026361, 102.447110], [30.346844, 30.898090, 41.646204, 45.599175, 161.949418], [25.639945, 25.910003, 35.344747, 39.200746, 142.261060], [11.052044, 11.864851, 12.810303, 15.002537, 123.885381], [8.283638, 9.601982, 11.244240, 12.092649, 16.320115], [9.921474, 9.973530, 13.684239, 13.770045, 67.447630], [51.787727, 53.347894, 71.593327, 78.899633, 303.522024], [26.609371, 27.414748, 37.149203, 41.268808, 110.886638]]
### 12
mean: [-0.997895]
std: [1.198218]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.021031, 17.585541, 23.602756, 26.431039, 89.810564]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [-2.373672, -2.665705, 1.515274, -0.369462, -0.458018, -3.512381, 0.602566, 1.023423]
std: [1.908822, 1.891801, 1.067380, 1.332371, 0.890336, 2.044056, 0.787743, 1.796165]
pca: [[0.476402, 0.416920, -0.328302, -0.059197, -0.147921, 0.486997, -0.422885, -0.223728, 0.000000, 0.000000], [0.516374, -0.332909, -0.125032, -0.197639, -0.208806, 0.263889, 0.545614, 0.396110, 0.000000, 0.000000], [-0.158010, -0.255477, -0.438878, 0.612536, -0.051548, 0.095503, -0.304647, 0.487197, 0.000000, 0.000000], [0.023769, -0.421318, 0.649827, 0.233067, -0.242357, 0.450637, -0.228086, -0.177474, 0.000000, 0.000000], [0.128627, 0.263157, -0.004175, 0.692158, 0.073638, 0.062504, 0.545972, -0.357337, 0.000000, 0.000000], [0.593441, 0.102377, 0.372258, 0.184690, 0.452636, -0.324746, -0.241574, 0.309779, 0.000000, 0.000000], [-0.159324, -0.165611, -0.095620, -0.120698, 0.809068, 0.511417, 0.075617, -0.040266, 0.000000, 0.000000], [-0.294560, 0.604493, 0.337579, -0.012364, -0.090734, 0.331794, 0.128373, 0.546727, 0.000000, 0.000000]]
fourier: [[31.439035, 31.603588, 32.305281, 33.892143, 213.630477], [30.837932, 31.051848, 33.647474, 37.227997, 239.913474], [16.038397, 16.611772, 17.309927, 18.938945, 136.374698], [21.191974, 21.486188, 21.651735, 21.833399, 33.251612], [14.430065, 14.744026, 16.181287, 17.481408, 41.221622], [31.555715, 36.171141, 37.679256, 37.880638, 316.114354], [12.320557, 12.908031, 13.885249, 14.870402, 54.230954], [28.547298, 32.614229, 34.142869, 35.354399, 92.108098]]
### 2
mean: [-0.009611, -0.981935, 0.337447, -0.213164, 0.208199, 0.941399, 0.000314, 1.320936]
std: [0.270144, 0.615372, 0.758902, 0.531412, 1.223966, 0.936850, 0.383044, 0.877896]
pca: [[0.109919, -0.134187, 0.115010, -0.424393, 0.472605, 0.421282, 0.115694, 0.601960, 0.000000, 0.000000], [-0.264978, -0.442152, -0.211822, 0.071776, -0.395740, 0.397862, 0.606204, -0.043359, 0.000000, 0.000000], [0.378193, 0.205539, 0.125496, -0.311046, -0.461493, 0.578435, -0.302937, -0.250783, 0.000000, 0.000000], [-0.158415, -0.345013, 0.713649, 0.477056, 0.041522, 0.231412, -0.252356, 0.005950, 0.000000, 0.000000], [0.614403, 0.284181, 0.291265, 0.323261, -0.076729, -0.096505, 0.562815, 0.143022, 0.000000, 0.000000], [-0.438739, 0.529075, 0.024989, 0.152232, -0.396965, 0.068793, -0.078048, 0.579123, 0.000000, 0.000000], [0.115115, 0.174374, -0.504487, 0.584150, 0.345989, 0.465265, -0.150460, -0.042264, 0.000000, 0.000000], [-0.407853, 0.483871, 0.277296, -0.146645, 0.349511, 0.213475, 0.343782, -0.463909, 0.000000, 0.000000]]
fourier: [[3.776058, 4.275763, 4.657154, 4.857551, 4.910830], [9.921683, 10.626177, 11.855830, 11.877299, 88.374101], [12.758895, 13.067214, 14.352159, 15.232592, 30.370253], [8.678526, 8.886102, 9.932439, 10.882730, 19.184800], [19.143428, 19.263149, 20.972472, 22.849039, 25.284918], [14.617083, 15.727027, 15.949530, 17.779931, 84.725902], [5.721917, 5.725879, 5.764186, 6.442981, 8.261172], [13.918625, 14.053744, 15.527979, 16.791515, 118.884243]]
### 4
mean: [-0.210630, 0.637323, 1.091110, -0.455072, 0.837398, 0.141651, 0.228401, 0.823810]
std: [0.720758, 1.197250, 1.479810, 0.627166, 1.596697, 0.953414, 0.210419, 1.029418]
pca: [[-0.239439, -0.208836, -0.068709, 0.601338, 0.128903, 0.556291, 0.404303, 0.207825, 0.000000, 0.000000], [0.399622, 0.252269, -0.148303, 0.235508, -0.179258, -0.264781, 0.015885, 0.772470, 0.000000, 0.000000], [0.494335, -0.225645, -0.502061, 0.340148, 0.268141, -0.281735, 0.102289, -0.418586, 0.000000, 0.000000], [-0.202109, -0.397023, -0.334283, -0.267761, 0.549700, 0.025802, -0.397778, 0.396258, 0.000000, 0.000000], [0.534141, 0.127577, 0.552443, -0.060795, 0.562270, 0.269288, 0.001661, 0.029355, 0.000000, 0.000000], [-0.303889, 0.710694, -0.143106, 0.355069, 0.329411, -0.030808, -0.357321, -0.137380, 0.000000, 0.000000], [0.036613, 0.401600, -0.449221, -0.514097, 0.147718, 0.228456, 0.544788, 0.021783, 0.000000, 0.000000], [0.344616, 0.039493, -0.286362, -0.038295, -0.361526, 0.643998, -0.493073, -0.087492, 0.000000, 0.000000]]
fourier: [[10.930873, 11.415892, 13.787642, 14.275213, 18.956709], [17.926412, 19.528515, 23.066082, 23.955370, 57.359078], [21.255797, 24.969870, 27.880388, 30.838517, 98.199862], [9.802354, 10.330352, 11.072699, 12.319658, 40.956524], [23.397962, 27.255771, 30.568593, 31.875271, 75.365854], [14.636646, 15.313587, 16.752862, 17.761951, 19.005247], [3.245106, 3.453964, 3.526750, 4.364678, 20.556122], [14.954301, 16.907837, 19.609718, 21.183270, 74.142929]]
### 6
mean: [0.817161, 1.468137, 1.001326, 0.173989, 0.636669, -1.229976, 1.724172, 1.915772]
std: [0.346070, 1.705145, 1.262084, 0.639103, 0.960043, 1.770522, 1.945774, 1.893450]
pca: [[0.016870, 0.625934, 0.022215, 0.042422, -0.427155, 0.639187, 0.113096, -0.042616, 0.000000, 0.000000], [0.424149, -0.024024, 0.315886, -0.058886, -0.335827, -0.348471, 0.682237, -0.128876, 0.000000, 0.000000], [0.313843, -0.052576, -0.382625, -0.097177, -0.149491, 0.008440, 0.062436, 0.846508, 0.000000, 0.000000], [0.136710, -0.600551, -0.376396, -0.299787, -0.367785, 0.352451, -0.026578, -0.359037, 0.000000, 0.000000], [0.231964, -0.416762, 0.604374, 0.428870, -0.037211, 0.375190, -0.187943, 0.214078, 0.000000, 0.000000], [-0.439424, -0.222335, -0.103689, 0.141638, 0.343524, 0.339071, 0.691456, 0.124784, 0.000000, 0.000000], [0.483845, 0.090248, -0.459453, 0.638815, 0.253323, 0.014698, 0.051940, -0.267362, 0.000000, 0.000000], [0.470764, 0.113731, 0.156621, -0.532299, 0.602975, 0.299603, 0.032006, -0.056649, 0.000000, 0.000000]]
fourier: [[5.798227, 5.954654, 5.967267, 6.039336, 73.544511], [24.149182, 24.498176, 33.186966, 37.184312, 132.132352], [18.193230, 18.259074, 24.692392, 27.089628, 90.119366], [9.894651, 11.686873, 12.074721, 12.333524, 15.658982], [14.385779, 15.614054, 18.473831, 20.832487, 57.300239], [25.375043, 25.525807, 34.375106, 38.155548, 110.697832], [27.990980, 28.276572, 37.807022, 41.791918, 155.175455], [27.002171, 27.282337, 36.778444, 41.026802, 172.419463]]
### 8
mean: [1.712613, 3.358212, -1.528523, -1.793480, -1.655658, 1.343835, -2.467945, 1.493144]
std: [1.719899, 3.401520, 2.393877, 1.334960, 1.395288, 1.673710, 2.742921, 1.669642]
pca: [[0.282503, 0.088069, 0.562426, -0.454957, 0.202963, 0.181820, 0.369651, -0.422177, 0.000000, 0.000000], [0.558763, 0.223938, -0.133312, 0.043737, -0.251444, -0.024340, 0.526888, 0.525854, 0.000000, 0.000000], [-0.392613, 0.634925, -0.485867, -0.204732, 0.026335, 0.034427, 0.311186, -0.256960, 0.000000, 0.000000], [-0.218253, -0.603477, -0.173715, -0.225250, -0.488308, -0.204690, 0.428306, -0.208513, 0.000000, 0.000000], [-0.228851, -0.364328, -0.177882, -0.088459, 0.674302, 0.280114, 0.331258, 0.364069, 0.000000, 0.000000], [0.274903, -0.146869, -0.314158, 0.327672, -0.134633, 0.738113, -0.000804, -0.365865, 0.000000, 0.000000], [-0.450581, 0.124633, 0.490758, 0.593733, -0.151626, 0.138444, 0.377869, 0.056031, 0.000000, 0.000000], [0.274277, -0.070308, -0.168763, 0.480350, 0.400804, -0.529929, 0.230103, -0.407671, 0.000000, 0.000000]]
fourier: [[24.240762, 24.675601, 33.554889, 37.022617, 154.135206], [48.086027, 48.911282, 66.022375, 72.649722, 302.239108], [33.794841, 34.400672, 46.797395, 51.874830, 137.567100], [18.951905, 19.004843, 25.758279, 28.042824, 161.413168], [19.848818, 20.152697, 27.061825, 29.579992, 149.009238], [23.654203, 24.060097, 32.436148, 35.881147, 120.945139], [38.460301, 39.395428, 53.256132, 58.749006, 222.115055], [23.671498, 23.925279, 32.419390, 35.720754, 134.382945]]
### 10
mean: [-1.138301, -1.799438, 1.580678, -1.376504, -0.181335, 0.749418, 3.372467, -1.232074]
std: [1.360258, 2.157621, 1.815182, 0.806638, 0.559972, 0.723338, 3.688430, 1.899248]
pca: [[-0.253229, -0.370372, 0.107462, -0.313664, 0.486716, 0.562781, -0.243799, -0.275161, 0.000000, 0.000000], [-0.406083, 0.151459, 0.267983, -0.351380, 0.430101, -0.336532, 0.426971, 0.369228, 0.000000, 0.000000], [0.341698, 0.108638, 0.116303, 0.562607, 0.699744, -0.148164, -0.170174, 0.028875, 0.000000, 0.000000], [-0.133961, 0.681152, 0.508700, 0.137912, -0.123908, 0.377467, 0.084767, -0.274354, 0.000000, 0.000000], [-0.095603, -0.422803, 0.522174, 0.124817, -0.136036, -0.466441, 0.064017, -0.532618, 0.000000, 0.000000], [0.131339, -0.344212, 0.024527, 0.334327, -0.016731, 0.404280, 0.761168, 0.093773, 0.000000, 0.000000], [0.694671, -0.086785, 0.489898, -0.431242, -0.069145, 0.082078, -0.062832, 0.261661, 0.000000, 0.000000], [-0.356807, -0.243596, 0.362033, 0.359553, -0.222618, 0.133577, -0.367002, 0.592378, 0.000000, 0.000000]]
fourier: [[19.285226, 19.879936, 26.712413, 30.026361, 102.447110], [30.346844, 30.898090, 41.646204, 45.599175, 161.949418], [25.639945, 25.910003, 35.344747, 39.200746, 142.261060], [11.052044, 11.864851, 12.810303, 15.002537, 123.885381], [8.283638, 9.601982, 11.244240, 12.092649, 16.320115], [9.921474, 9.973530, 13.684239, 13.770045, 67.447630], [51.787727, 53.347894, 71.593327, 78.899633, 303.522024], [26.609371, 27.414748, 37.149203, 41.268808, 110.886638]]
### 12
mean: [-0.997895]
std: [1.198218]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.021031, 17.585541, 23.602756, 26.431039, 89.810564]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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9,735
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{"target_pattern": "decreasing_pairs", "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": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3466, "learning_rate": 0.09385233233232847, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
mean: [0.912070, -4.112658, -3.470735, -0.662345, -2.302540, 3.392613, 1.347763, -2.778135]
std: [2.102524, 2.553955, 2.108674, 2.119839, 1.429281, 2.019828, 1.753846, 1.704183]
pca: [[-0.186357, 0.606303, 0.328641, 0.332323, 0.098447, 0.358690, -0.489653, 0.033391, 0.000000, 0.000000], [0.589116, 0.144368, 0.023135, -0.218261, -0.389879, 0.243251, -0.119086, -0.598807, 0.000000, 0.000000], [0.473739, -0.134442, -0.192303, -0.189041, 0.582283, 0.470984, -0.119476, 0.331098, 0.000000, 0.000000], [0.001872, -0.543583, 0.798590, -0.110766, 0.102371, 0.007698, -0.192433, -0.083241, 0.000000, 0.000000], [0.246747, 0.048030, 0.188551, 0.618302, 0.320037, 0.035442, 0.583390, -0.273746, 0.000000, 0.000000], [-0.412548, -0.327231, -0.138063, 0.093150, -0.274180, 0.753329, 0.213507, -0.081972, 0.000000, 0.000000], [-0.135277, 0.434129, 0.342995, -0.593167, 0.073757, 0.136066, 0.538078, 0.101277, 0.000000, 0.000000], [0.380003, 0.011908, 0.210890, 0.226045, -0.552929, 0.054868, 0.138914, 0.657151, 0.000000, 0.000000]]
fourier: [[35.040514, 35.071524, 35.286214, 37.578238, 82.086341], [39.313887, 39.746551, 44.504413, 45.055486, 370.139173], [34.917637, 34.988652, 35.025424, 42.329537, 312.366157], [32.287139, 32.292494, 35.491528, 38.277529, 59.611096], [20.815368, 22.635201, 22.851981, 27.671824, 207.228564], [32.603127, 33.215997, 34.302233, 35.512939, 305.335200], [27.607403, 28.516157, 28.749315, 31.697252, 121.298645], [25.679269, 28.717988, 28.791889, 31.082029, 250.032143]]
### 2
mean: [1.995539, -1.958896, -2.452123, -1.572586, -2.133514, -0.663257, -0.199824, 2.761474]
std: [2.728363, 0.805116, 1.297406, 0.716618, 0.936276, 0.765237, 0.576782, 1.918606]
pca: [[0.849366, 0.099571, 0.340712, 0.011446, 0.360305, -0.149513, 0.016521, 0.000723, 0.000000, 0.000000], [-0.063982, -0.315412, 0.181014, 0.916144, 0.006138, -0.065598, 0.090329, 0.108793, 0.000000, 0.000000], [-0.259960, -0.437341, 0.052290, -0.162871, 0.533354, -0.360415, 0.164316, -0.520123, 0.000000, 0.000000], [-0.095426, -0.283406, -0.029723, -0.213603, 0.151986, -0.458132, -0.120033, 0.785285, 0.000000, 0.000000], [-0.207704, -0.233712, 0.720604, -0.208905, 0.109819, 0.547515, -0.075891, 0.147429, 0.000000, 0.000000], [0.134296, -0.249351, -0.523351, 0.091036, 0.469789, 0.499063, -0.403692, 0.069806, 0.000000, 0.000000], [0.126428, -0.172378, -0.227077, -0.096391, 0.047604, 0.290760, 0.872715, 0.212150, 0.000000, 0.000000], [-0.347331, 0.687389, 0.052933, 0.164851, 0.572319, 0.013469, 0.140720, 0.171313, 0.000000, 0.000000]]
fourier: [[43.853630, 45.916576, 46.594181, 51.691963, 179.598487], [12.658730, 14.051829, 14.668909, 15.287660, 176.300612], [19.310487, 21.865294, 25.568085, 27.070826, 220.691046], [9.866774, 13.124280, 13.436118, 14.417154, 141.532734], [14.601892, 14.986117, 17.694726, 21.410139, 192.016250], [11.830221, 11.974995, 14.821267, 15.025341, 59.693149], [8.729134, 8.795742, 10.220786, 12.293977, 17.984128], [27.502778, 30.713073, 34.307176, 35.113386, 248.532626]]
### 4
mean: [-0.501220, 0.344245, -1.584790, -2.664893, -0.187835, -1.642244, 1.374521, 0.738901]
std: [0.496080, 1.694244, 0.856085, 1.249086, 1.087075, 0.668827, 1.504226, 1.978965]
pca: [[0.137997, 0.128528, -0.022985, 0.541852, 0.349046, -0.272024, 0.636705, -0.262836, 0.000000, 0.000000], [0.510622, 0.051294, 0.001145, -0.271793, -0.583308, 0.264475, 0.473095, -0.169549, 0.000000, 0.000000], [-0.213606, 0.320779, -0.649084, -0.013269, 0.032167, 0.251922, 0.280480, 0.535555, 0.000000, 0.000000], [0.111979, 0.799680, 0.083480, -0.014216, -0.238627, -0.478467, -0.232716, 0.027785, 0.000000, 0.000000], [-0.326719, 0.051224, 0.697221, -0.112417, -0.046541, -0.009591, 0.400400, 0.478851, 0.000000, 0.000000], [0.049473, 0.434497, 0.276291, 0.259307, 0.209107, 0.749060, -0.174957, -0.172515, 0.000000, 0.000000], [0.443572, -0.212919, 0.066404, 0.606854, -0.242881, -0.001385, -0.216455, 0.528566, 0.000000, 0.000000], [0.596746, 0.041440, 0.065794, -0.428949, 0.612420, -0.049763, -0.013368, 0.275930, 0.000000, 0.000000]]
fourier: [[8.014959, 8.361606, 8.770586, 8.909155, 45.109809], [26.760265, 28.566906, 28.872788, 30.982046, 35.082083], [12.068119, 13.797418, 15.274134, 17.099773, 142.631056], [20.039065, 22.448658, 24.659525, 24.857337, 239.840328], [16.905165, 17.407139, 17.407311, 18.764708, 22.109699], [10.160021, 11.888830, 13.301611, 13.310844, 147.801905], [22.636726, 24.427863, 24.524111, 31.864313, 123.706882], [31.275898, 33.230172, 33.682064, 41.158044, 66.501100]]
### 6
mean: [-0.467231, -0.645372, 0.143221, 2.640881, 2.388567, -0.006591, 1.809311, -0.510069]
std: [0.288911, 0.375544, 0.979818, 2.358513, 1.971120, 0.194766, 1.796821, 1.060241]
pca: [[-0.074297, 0.087112, -0.154969, -0.385388, 0.242372, -0.279225, 0.798931, 0.198367, 0.000000, 0.000000], [-0.095646, 0.189027, -0.189381, -0.512086, 0.177809, 0.718533, -0.184164, 0.274229, 0.000000, 0.000000], [-0.244130, 0.778906, -0.223251, -0.003446, 0.209828, -0.301535, -0.248298, -0.295382, 0.000000, 0.000000], [0.610833, 0.199553, -0.342482, 0.171052, -0.135812, 0.346512, 0.323697, -0.444088, 0.000000, 0.000000], [0.510026, 0.310438, -0.096399, 0.034316, -0.261450, -0.255238, -0.168857, 0.686307, 0.000000, 0.000000], [-0.021120, 0.448556, 0.782756, 0.172725, -0.050878, 0.268396, 0.277896, 0.062917, 0.000000, 0.000000], [0.465469, -0.111096, 0.221549, 0.006200, 0.826948, -0.085781, -0.173430, -0.024395, 0.000000, 0.000000], [-0.274557, 0.015783, -0.319217, 0.727271, 0.303941, 0.224073, 0.159825, 0.354138, 0.000000, 0.000000]]
fourier: [[4.441696, 4.488157, 4.520466, 6.823959, 42.050749], [5.813174, 5.883707, 5.897331, 8.716777, 58.083517], [14.841899, 15.083974, 15.675095, 15.763223, 21.780507], [34.839928, 35.038981, 38.250596, 55.176769, 237.679288], [29.211168, 29.735591, 31.777486, 46.372591, 214.971039], [2.730041, 2.866933, 3.479275, 4.192017, 4.321738], [26.807851, 27.229804, 28.721016, 42.343488, 162.838020], [15.932219, 16.284849, 16.742261, 25.216435, 45.906203]]
### 8
mean: [-3.354993]
std: [4.140089]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[63.511241, 63.544644, 66.004731, 96.753327, 301.949394]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
mean: [0.912070, -4.112658, -3.470735, -0.662345, -2.302540, 3.392613, 1.347763, -2.778135]
std: [2.102524, 2.553955, 2.108674, 2.119839, 1.429281, 2.019828, 1.753846, 1.704183]
pca: [[-0.186357, 0.606303, 0.328641, 0.332323, 0.098447, 0.358690, -0.489653, 0.033391, 0.000000, 0.000000], [0.589116, 0.144368, 0.023135, -0.218261, -0.389879, 0.243251, -0.119086, -0.598807, 0.000000, 0.000000], [0.473739, -0.134442, -0.192303, -0.189041, 0.582283, 0.470984, -0.119476, 0.331098, 0.000000, 0.000000], [0.001872, -0.543583, 0.798590, -0.110766, 0.102371, 0.007698, -0.192433, -0.083241, 0.000000, 0.000000], [0.246747, 0.048030, 0.188551, 0.618302, 0.320037, 0.035442, 0.583390, -0.273746, 0.000000, 0.000000], [-0.412548, -0.327231, -0.138063, 0.093150, -0.274180, 0.753329, 0.213507, -0.081972, 0.000000, 0.000000], [-0.135277, 0.434129, 0.342995, -0.593167, 0.073757, 0.136066, 0.538078, 0.101277, 0.000000, 0.000000], [0.380003, 0.011908, 0.210890, 0.226045, -0.552929, 0.054868, 0.138914, 0.657151, 0.000000, 0.000000]]
fourier: [[35.040514, 35.071524, 35.286214, 37.578238, 82.086341], [39.313887, 39.746551, 44.504413, 45.055486, 370.139173], [34.917637, 34.988652, 35.025424, 42.329537, 312.366157], [32.287139, 32.292494, 35.491528, 38.277529, 59.611096], [20.815368, 22.635201, 22.851981, 27.671824, 207.228564], [32.603127, 33.215997, 34.302233, 35.512939, 305.335200], [27.607403, 28.516157, 28.749315, 31.697252, 121.298645], [25.679269, 28.717988, 28.791889, 31.082029, 250.032143]]
### 2
mean: [1.995539, -1.958896, -2.452123, -1.572586, -2.133514, -0.663257, -0.199824, 2.761474]
std: [2.728363, 0.805116, 1.297406, 0.716618, 0.936276, 0.765237, 0.576782, 1.918606]
pca: [[0.849366, 0.099571, 0.340712, 0.011446, 0.360305, -0.149513, 0.016521, 0.000723, 0.000000, 0.000000], [-0.063982, -0.315412, 0.181014, 0.916144, 0.006138, -0.065598, 0.090329, 0.108793, 0.000000, 0.000000], [-0.259960, -0.437341, 0.052290, -0.162871, 0.533354, -0.360415, 0.164316, -0.520123, 0.000000, 0.000000], [-0.095426, -0.283406, -0.029723, -0.213603, 0.151986, -0.458132, -0.120033, 0.785285, 0.000000, 0.000000], [-0.207704, -0.233712, 0.720604, -0.208905, 0.109819, 0.547515, -0.075891, 0.147429, 0.000000, 0.000000], [0.134296, -0.249351, -0.523351, 0.091036, 0.469789, 0.499063, -0.403692, 0.069806, 0.000000, 0.000000], [0.126428, -0.172378, -0.227077, -0.096391, 0.047604, 0.290760, 0.872715, 0.212150, 0.000000, 0.000000], [-0.347331, 0.687389, 0.052933, 0.164851, 0.572319, 0.013469, 0.140720, 0.171313, 0.000000, 0.000000]]
fourier: [[43.853630, 45.916576, 46.594181, 51.691963, 179.598487], [12.658730, 14.051829, 14.668909, 15.287660, 176.300612], [19.310487, 21.865294, 25.568085, 27.070826, 220.691046], [9.866774, 13.124280, 13.436118, 14.417154, 141.532734], [14.601892, 14.986117, 17.694726, 21.410139, 192.016250], [11.830221, 11.974995, 14.821267, 15.025341, 59.693149], [8.729134, 8.795742, 10.220786, 12.293977, 17.984128], [27.502778, 30.713073, 34.307176, 35.113386, 248.532626]]
### 4
mean: [-0.501220, 0.344245, -1.584790, -2.664893, -0.187835, -1.642244, 1.374521, 0.738901]
std: [0.496080, 1.694244, 0.856085, 1.249086, 1.087075, 0.668827, 1.504226, 1.978965]
pca: [[0.137997, 0.128528, -0.022985, 0.541852, 0.349046, -0.272024, 0.636705, -0.262836, 0.000000, 0.000000], [0.510622, 0.051294, 0.001145, -0.271793, -0.583308, 0.264475, 0.473095, -0.169549, 0.000000, 0.000000], [-0.213606, 0.320779, -0.649084, -0.013269, 0.032167, 0.251922, 0.280480, 0.535555, 0.000000, 0.000000], [0.111979, 0.799680, 0.083480, -0.014216, -0.238627, -0.478467, -0.232716, 0.027785, 0.000000, 0.000000], [-0.326719, 0.051224, 0.697221, -0.112417, -0.046541, -0.009591, 0.400400, 0.478851, 0.000000, 0.000000], [0.049473, 0.434497, 0.276291, 0.259307, 0.209107, 0.749060, -0.174957, -0.172515, 0.000000, 0.000000], [0.443572, -0.212919, 0.066404, 0.606854, -0.242881, -0.001385, -0.216455, 0.528566, 0.000000, 0.000000], [0.596746, 0.041440, 0.065794, -0.428949, 0.612420, -0.049763, -0.013368, 0.275930, 0.000000, 0.000000]]
fourier: [[8.014959, 8.361606, 8.770586, 8.909155, 45.109809], [26.760265, 28.566906, 28.872788, 30.982046, 35.082083], [12.068119, 13.797418, 15.274134, 17.099773, 142.631056], [20.039065, 22.448658, 24.659525, 24.857337, 239.840328], [16.905165, 17.407139, 17.407311, 18.764708, 22.109699], [10.160021, 11.888830, 13.301611, 13.310844, 147.801905], [22.636726, 24.427863, 24.524111, 31.864313, 123.706882], [31.275898, 33.230172, 33.682064, 41.158044, 66.501100]]
### 6
mean: [-0.467231, -0.645372, 0.143221, 2.640881, 2.388567, -0.006591, 1.809311, -0.510069]
std: [0.288911, 0.375544, 0.979818, 2.358513, 1.971120, 0.194766, 1.796821, 1.060241]
pca: [[-0.074297, 0.087112, -0.154969, -0.385388, 0.242372, -0.279225, 0.798931, 0.198367, 0.000000, 0.000000], [-0.095646, 0.189027, -0.189381, -0.512086, 0.177809, 0.718533, -0.184164, 0.274229, 0.000000, 0.000000], [-0.244130, 0.778906, -0.223251, -0.003446, 0.209828, -0.301535, -0.248298, -0.295382, 0.000000, 0.000000], [0.610833, 0.199553, -0.342482, 0.171052, -0.135812, 0.346512, 0.323697, -0.444088, 0.000000, 0.000000], [0.510026, 0.310438, -0.096399, 0.034316, -0.261450, -0.255238, -0.168857, 0.686307, 0.000000, 0.000000], [-0.021120, 0.448556, 0.782756, 0.172725, -0.050878, 0.268396, 0.277896, 0.062917, 0.000000, 0.000000], [0.465469, -0.111096, 0.221549, 0.006200, 0.826948, -0.085781, -0.173430, -0.024395, 0.000000, 0.000000], [-0.274557, 0.015783, -0.319217, 0.727271, 0.303941, 0.224073, 0.159825, 0.354138, 0.000000, 0.000000]]
fourier: [[4.441696, 4.488157, 4.520466, 6.823959, 42.050749], [5.813174, 5.883707, 5.897331, 8.716777, 58.083517], [14.841899, 15.083974, 15.675095, 15.763223, 21.780507], [34.839928, 35.038981, 38.250596, 55.176769, 237.679288], [29.211168, 29.735591, 31.777486, 46.372591, 214.971039], [2.730041, 2.866933, 3.479275, 4.192017, 4.321738], [26.807851, 27.229804, 28.721016, 42.343488, 162.838020], [15.932219, 16.284849, 16.742261, 25.216435, 45.906203]]
### 8
mean: [-3.354993]
std: [4.140089]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[63.511241, 63.544644, 66.004731, 96.753327, 301.949394]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.755494, 0.482111, 0.033252, -0.314509, 0.122053], [0.088465, -0.240242, -0.783714, -0.578369, -0.557131], [-0.157416, -0.565288, -0.329626, -0.239504, -0.557836], [-0.105793, -0.690113, -0.346094, 0.400943, 0.741144], [0.037571, -0.236834, -0.086882, -0.584341, 0.098739], [-0.427086, 0.188504, 0.548009, 0.504541, 0.489745], [0.775684, 0.235872, -0.331661, 0.253707, -0.1697], [-0.049033, -0.157507, -0.510303, -0.55916, -0.010553]], "network.0.bias": [-0.452158, -0.220473, -0.354606, -0.324077, -0.604934, 0.749895, 0.310695, -0.152035], "network.2.weight": [[0.887289, 0.060904, -0.01504, -0.346094, 0.018533, -0.023861, 0.685451, -0.041619], [-0.303223, 0.339116, 0.08228, -0.061749, 0.100782, -0.338336, 0.10195, 0.254903], [-0.223926, 0.041715, -0.172236, -0.101182, -0.206626, -0.39263, -0.455458, -0.434924], [-0.04967, -0.378088, 0.20901, -0.1494, 0.054518, -0.243162, -0.273607, -0.007294], [-0.079053, -0.43316, -0.229098, 0.329082, 0.003272, -0.346277, -0.354392, 0.047115], [0.044028, 0.359348, 0.841752, -0.517377, -0.064103, -0.128384, 0.030206, 0.416888], [0.1222, -0.496121, -0.309691, -0.318672, 0.19386, -0.115218, -0.009747, 0.120627], [-0.364612, 0.299161, 0.491664, 0.740562, 0.02407, 0.630538, 0.108508, 0.541677]], "network.2.bias": [0.146502, -0.554252, -0.114518, -0.203612, -0.492955, -0.069058, 0.215057, 0.531417], "network.4.weight": [[-0.184413, -0.33497, -0.025598, -0.189213, 0.024042, -0.341529, 0.064185, 0.009393], [-0.477168, 0.137884, -0.122043, -0.100184, 0.273867, 0.080065, -0.106976, 0.368146], [0.059308, 0.074842, 0.16912, -0.269349, 0.502671, -0.057198, -0.39997, -0.441025], [-0.48113, -0.226117, 0.078791, -0.200302, -0.084018, -0.007221, 0.082228, -0.544386], [0.243271, 0.057735, -0.054235, -0.05891, -0.006144, 0.214963, 0.499875, -0.287582], [-0.259779, 0.010984, 0.352022, 0.069921, -0.064038, -0.124141, 0.247853, -0.299049], [-0.297267, 0.288526, -0.343307, -0.141312, 0.356209, -0.408773, 0.079073, 0.528279], [-0.550683, -0.013335, 0.437402, 0.161452, -0.277258, 0.16629, -0.100211, 0.446112]], "network.4.bias": [-0.14781, 0.315858, -0.439121, -0.160257, 0.058341, -0.294082, 0.515314, 0.643786], "network.6.weight": [[-0.278701, -0.225015, -0.322337, 0.179352, 0.09672, 0.294804, 0.018165, -0.072423], [0.273195, -0.264849, 0.586799, -0.13938, 0.168032, -0.278453, 0.029186, -0.102183], [0.200624, 0.029612, 0.448298, 0.049761, 0.51913, 0.023034, -0.044761, -0.638556], [0.192046, 0.655585, -0.10604, -0.246824, -0.02105, 0.294076, 0.908601, 0.655404], [0.050875, 0.592426, -0.007189, 0.154064, 0.054545, -0.329276, 0.677965, 0.627308], [-0.207777, 0.37039, -0.046389, -0.014153, 0.192834, 0.180761, -0.38804, 0.134846], [-0.145245, 0.435347, -0.306614, -0.018843, -0.195862, -0.026592, 0.394015, 0.804464], [-0.125818, -0.006379, 0.481888, 0.063612, 0.068908, 0.222938, -0.148453, -0.77503]], "network.6.bias": [-0.237221, -0.383215, 0.829352, -0.183097, -0.009279, 0.036557, -0.150136, 0.693318], "network.8.weight": [[0.037899, -0.018521, 0.810238, -0.56241, -0.690785, 0.384929, -0.530952, 0.617468]], "network.8.bias": [0.300752]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.693502277135849, "train_acc": 0.565, "val_loss": 0.6798546314239502, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.672881007194519, "train_acc": 0.565, "val_loss": 0.5911079049110413, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5535543709993362, "train_acc": 0.665, "val_loss": 0.3702898323535919, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4181022047996521, "train_acc": 0.825, "val_loss": 0.42617812752723694, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3364860415458679, "train_acc": 0.845, "val_loss": 0.20886436104774475, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.1991279274225235, "train_acc": 0.915, "val_loss": 0.3375997841358185, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3205268308520317, "train_acc": 0.9, "val_loss": 0.35282978415489197, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3024167865514755, "train_acc": 0.92, "val_loss": 0.273828387260437, "val_acc": 0.92}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6798546314239502, "final_val_loss": 0.5911079049110413, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.3702898323535919, "final_val_loss": 0.273828387260437, "initial_val_acc": 0.84, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 4}, "improvement": 0.38, "first_improvement_epoch": 1}}
|
9,736
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.72, "improved_accuracy": 0.9, "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": 4627, "learning_rate": 0.07920854392998639, "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: 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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-0.483057,
-0.280117,
0.177882,
0.054366,
-0.32551,
0.400822
]
],
"network.8.bias": [
-0.523274
]
}
## Activation Signature
### 0
mean: [2.135171, 0.530286, 1.560490, -4.477685, 1.092914, -0.847209]
std: [2.167172, 1.105580, 1.889348, 2.450360, 1.704341, 1.683617]
pca: [[-0.616399, -0.030205, -0.234190, -0.447982, 0.602324, 0.028511, 0.000000, 0.000000, 0.000000, 0.000000], [0.038770, 0.059741, 0.698397, -0.119896, 0.193095, 0.674914, 0.000000, 0.000000, 0.000000, 0.000000], [0.105528, 0.700429, 0.202823, 0.319603, 0.476609, -0.357525, 0.000000, 0.000000, 0.000000, 0.000000], [0.664306, -0.252956, -0.384955, 0.042009, 0.537532, 0.236253, 0.000000, 0.000000, 0.000000, 0.000000], [-0.383078, -0.387045, 0.023689, 0.807124, 0.192391, 0.120091, 0.000000, 0.000000, 0.000000, 0.000000], [0.139146, -0.539562, 0.517212, -0.171978, 0.216356, -0.587892, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.485477, 33.739914, 34.093470, 39.665676, 192.165390], [15.983096, 19.377778, 19.558341, 26.043690, 47.725757], [32.539433, 34.692215, 37.975920, 38.180127, 140.444083], [38.303867, 39.584185, 43.707899, 43.928246, 402.991705], [24.510681, 24.516516, 26.162319, 36.317409, 98.362294], [25.183810, 28.051284, 28.469326, 35.598798, 76.248807]]
### 2
mean: [-0.348989, 0.874677, -2.168318, -1.958702, 0.522986, 0.712827]
std: [0.690009, 1.231103, 1.174176, 0.783071, 0.958137, 2.284211]
pca: [[0.177338, 0.243312, 0.386888, 0.754364, 0.180476, -0.397532, 0.000000, 0.000000, 0.000000, 0.000000], [0.372199, -0.206469, 0.645232, -0.514650, -0.103914, -0.356163, 0.000000, 0.000000, 0.000000, 0.000000], [-0.269574, 0.691644, 0.369312, -0.094332, -0.483788, 0.263852, 0.000000, 0.000000, 0.000000, 0.000000], [-0.224148, 0.376272, 0.126490, -0.327246, 0.827659, 0.008173, 0.000000, 0.000000, 0.000000, 0.000000], [0.304111, -0.226622, 0.374506, 0.185993, 0.193769, 0.802349, 0.000000, 0.000000, 0.000000, 0.000000], [0.783979, 0.476298, -0.375962, -0.124454, 0.003630, 0.040839, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.236212, 10.243835, 11.343246, 13.768547, 31.408986], [18.682560, 18.856912, 19.081807, 20.497280, 78.720894], [16.941913, 18.779371, 20.386718, 22.691255, 195.148606], [12.237343, 12.721010, 12.939640, 13.303954, 176.283222], [14.781449, 15.094316, 15.275769, 16.049014, 47.068712], [32.971521, 38.731232, 39.120738, 41.917131, 64.154412]]
### 4
mean: [1.156247, -1.767764, 0.074553, 0.157131, 0.968664, -1.176410]
std: [1.032615, 1.579505, 0.659122, 0.465651, 1.191404, 0.835513]
pca: [[-0.417907, 0.249034, -0.137599, 0.852314, 0.074546, -0.111381, 0.000000, 0.000000, 0.000000, 0.000000], [0.643929, 0.208296, 0.268094, 0.337945, -0.589707, -0.090184, 0.000000, 0.000000, 0.000000, 0.000000], [0.232096, -0.569780, 0.076129, 0.363071, 0.192637, 0.668399, 0.000000, 0.000000, 0.000000, 0.000000], [0.064875, 0.744381, 0.179192, -0.105419, 0.267373, 0.571818, 0.000000, 0.000000, 0.000000, 0.000000], [-0.485830, -0.124401, 0.831755, -0.040387, -0.227948, 0.055553, 0.000000, 0.000000, 0.000000, 0.000000], [0.341469, -0.019154, 0.423640, 0.121611, 0.697230, -0.450158, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.060769, 17.015040, 18.371347, 21.321386, 104.062219], [24.393077, 24.896363, 27.420556, 29.683997, 159.098750], [8.888709, 10.250807, 11.194697, 12.811388, 14.074571], [7.293522, 7.501516, 8.326356, 8.675689, 14.141780], [18.383843, 18.856659, 21.039320, 23.177053, 87.179776], [12.722330, 12.926108, 14.611740, 16.257863, 105.876913]]
### 6
mean: [0.412547, -1.176140, -0.421604, -0.035716, -0.635921, 0.533198]
std: [0.505513, 0.742444, 0.080252, 0.114822, 0.109617, 1.096471]
pca: [[-0.350133, -0.444467, 0.628084, 0.287783, 0.442527, -0.081957, 0.000000, 0.000000, 0.000000, 0.000000], [-0.514126, 0.735396, 0.361547, -0.048970, -0.108016, 0.223797, 0.000000, 0.000000, 0.000000, 0.000000], [-0.051535, 0.080502, -0.118788, 0.882854, -0.400893, -0.191329, 0.000000, 0.000000, 0.000000, 0.000000], [0.078733, -0.118810, -0.143268, 0.264635, 0.146715, 0.931452, 0.000000, 0.000000, 0.000000, 0.000000], [-0.046774, 0.366901, -0.431908, 0.212493, 0.769786, -0.197301, 0.000000, 0.000000, 0.000000, 0.000000], [0.775912, 0.326233, 0.503601, 0.142010, 0.133009, -0.007811, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.094041, 8.131277, 8.235159, 8.240406, 37.129250], [11.516691, 11.767560, 13.253280, 16.062908, 105.852621], [1.178056, 1.230721, 1.408927, 1.479659, 37.944388], [1.725227, 1.904288, 2.111132, 2.557634, 3.214453], [1.827234, 1.849405, 2.102428, 2.147353, 57.232919], [16.056459, 17.341615, 18.725908, 19.576987, 47.987854]]
### 8
mean: [-0.472651]
std: [0.542127]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.380722, 8.754739, 9.392461, 9.662782, 42.538625]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 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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]
],
"network.0.bias": [
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0.410951,
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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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-0.544321
],
[
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0.128304,
-0.460202
],
[
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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": [
0.641307,
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-0.376511,
0.025651
],
"network.8.weight": [
[
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-0.280117,
0.177882,
0.054366,
-0.32551,
0.400822
]
],
"network.8.bias": [
-0.523274
]
}
## Activation Signature
### 0
mean: [2.135171, 0.530286, 1.560490, -4.477685, 1.092914, -0.847209]
std: [2.167172, 1.105580, 1.889348, 2.450360, 1.704341, 1.683617]
pca: [[-0.616399, -0.030205, -0.234190, -0.447982, 0.602324, 0.028511, 0.000000, 0.000000, 0.000000, 0.000000], [0.038770, 0.059741, 0.698397, -0.119896, 0.193095, 0.674914, 0.000000, 0.000000, 0.000000, 0.000000], [0.105528, 0.700429, 0.202823, 0.319603, 0.476609, -0.357525, 0.000000, 0.000000, 0.000000, 0.000000], [0.664306, -0.252956, -0.384955, 0.042009, 0.537532, 0.236253, 0.000000, 0.000000, 0.000000, 0.000000], [-0.383078, -0.387045, 0.023689, 0.807124, 0.192391, 0.120091, 0.000000, 0.000000, 0.000000, 0.000000], [0.139146, -0.539562, 0.517212, -0.171978, 0.216356, -0.587892, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.485477, 33.739914, 34.093470, 39.665676, 192.165390], [15.983096, 19.377778, 19.558341, 26.043690, 47.725757], [32.539433, 34.692215, 37.975920, 38.180127, 140.444083], [38.303867, 39.584185, 43.707899, 43.928246, 402.991705], [24.510681, 24.516516, 26.162319, 36.317409, 98.362294], [25.183810, 28.051284, 28.469326, 35.598798, 76.248807]]
### 2
mean: [-0.348989, 0.874677, -2.168318, -1.958702, 0.522986, 0.712827]
std: [0.690009, 1.231103, 1.174176, 0.783071, 0.958137, 2.284211]
pca: [[0.177338, 0.243312, 0.386888, 0.754364, 0.180476, -0.397532, 0.000000, 0.000000, 0.000000, 0.000000], [0.372199, -0.206469, 0.645232, -0.514650, -0.103914, -0.356163, 0.000000, 0.000000, 0.000000, 0.000000], [-0.269574, 0.691644, 0.369312, -0.094332, -0.483788, 0.263852, 0.000000, 0.000000, 0.000000, 0.000000], [-0.224148, 0.376272, 0.126490, -0.327246, 0.827659, 0.008173, 0.000000, 0.000000, 0.000000, 0.000000], [0.304111, -0.226622, 0.374506, 0.185993, 0.193769, 0.802349, 0.000000, 0.000000, 0.000000, 0.000000], [0.783979, 0.476298, -0.375962, -0.124454, 0.003630, 0.040839, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.236212, 10.243835, 11.343246, 13.768547, 31.408986], [18.682560, 18.856912, 19.081807, 20.497280, 78.720894], [16.941913, 18.779371, 20.386718, 22.691255, 195.148606], [12.237343, 12.721010, 12.939640, 13.303954, 176.283222], [14.781449, 15.094316, 15.275769, 16.049014, 47.068712], [32.971521, 38.731232, 39.120738, 41.917131, 64.154412]]
### 4
mean: [1.156247, -1.767764, 0.074553, 0.157131, 0.968664, -1.176410]
std: [1.032615, 1.579505, 0.659122, 0.465651, 1.191404, 0.835513]
pca: [[-0.417907, 0.249034, -0.137599, 0.852314, 0.074546, -0.111381, 0.000000, 0.000000, 0.000000, 0.000000], [0.643929, 0.208296, 0.268094, 0.337945, -0.589707, -0.090184, 0.000000, 0.000000, 0.000000, 0.000000], [0.232096, -0.569780, 0.076129, 0.363071, 0.192637, 0.668399, 0.000000, 0.000000, 0.000000, 0.000000], [0.064875, 0.744381, 0.179192, -0.105419, 0.267373, 0.571818, 0.000000, 0.000000, 0.000000, 0.000000], [-0.485830, -0.124401, 0.831755, -0.040387, -0.227948, 0.055553, 0.000000, 0.000000, 0.000000, 0.000000], [0.341469, -0.019154, 0.423640, 0.121611, 0.697230, -0.450158, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.060769, 17.015040, 18.371347, 21.321386, 104.062219], [24.393077, 24.896363, 27.420556, 29.683997, 159.098750], [8.888709, 10.250807, 11.194697, 12.811388, 14.074571], [7.293522, 7.501516, 8.326356, 8.675689, 14.141780], [18.383843, 18.856659, 21.039320, 23.177053, 87.179776], [12.722330, 12.926108, 14.611740, 16.257863, 105.876913]]
### 6
mean: [0.412547, -1.176140, -0.421604, -0.035716, -0.635921, 0.533198]
std: [0.505513, 0.742444, 0.080252, 0.114822, 0.109617, 1.096471]
pca: [[-0.350133, -0.444467, 0.628084, 0.287783, 0.442527, -0.081957, 0.000000, 0.000000, 0.000000, 0.000000], [-0.514126, 0.735396, 0.361547, -0.048970, -0.108016, 0.223797, 0.000000, 0.000000, 0.000000, 0.000000], [-0.051535, 0.080502, -0.118788, 0.882854, -0.400893, -0.191329, 0.000000, 0.000000, 0.000000, 0.000000], [0.078733, -0.118810, -0.143268, 0.264635, 0.146715, 0.931452, 0.000000, 0.000000, 0.000000, 0.000000], [-0.046774, 0.366901, -0.431908, 0.212493, 0.769786, -0.197301, 0.000000, 0.000000, 0.000000, 0.000000], [0.775912, 0.326233, 0.503601, 0.142010, 0.133009, -0.007811, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.094041, 8.131277, 8.235159, 8.240406, 37.129250], [11.516691, 11.767560, 13.253280, 16.062908, 105.852621], [1.178056, 1.230721, 1.408927, 1.479659, 37.944388], [1.725227, 1.904288, 2.111132, 2.557634, 3.214453], [1.827234, 1.849405, 2.102428, 2.147353, 57.232919], [16.056459, 17.341615, 18.725908, 19.576987, 47.987854]]
### 8
mean: [-0.472651]
std: [0.542127]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.380722, 8.754739, 9.392461, 9.662782, 42.538625]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 2.1351709365844727, "std": 2.1671719551086426, "pca": [-0.6163989305496216, -0.03020470030605793, -0.23418988287448883, -0.44798222184181213, 0.6023239493370056, 0.028511200100183487, 0.0, 0.0, 0.0, 0.0], "fourier": [32.48547660901917, 33.73991427047747, 34.09347024642923, 39.66567553788654, 192.16539004445076]}, "1": {"mean": 0.5302861928939819, "std": 1.1055803298950195, "pca": [0.03876958414912224, 0.05974145606160164, 0.6983969211578369, -0.11989551037549973, 0.1930951476097107, 0.6749140024185181, 0.0, 0.0, 0.0, 0.0], "fourier": [15.98309551622672, 19.377777993145408, 19.55834104047713, 26.04368984214721, 47.725756511092186]}, "2": {"mean": 1.5604897737503052, "std": 1.8893479108810425, "pca": [0.10552849620580673, 0.7004289031028748, 0.20282277464866638, 0.31960296630859375, 0.4766087234020233, -0.35752496123313904, 0.0, 0.0, 0.0, 0.0], "fourier": [32.539432739379706, 34.69221520157749, 37.9759196885494, 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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": [[-0.091111, 0.500933, 0.432276, 0.619297, -0.595717], [0.011773, 0.132447, -0.166512, 0.019856, 0.597814], [0.476286, -0.181264, 0.48743, -0.278974, 0.378801], [0.008413, -0.353126, -0.671985, -0.809899, 0.06991], [-0.608487, 0.453128, 0.130153, 0.382918, -0.231706], [-0.401472, 0.237234, -0.710086, -0.02476, 0.40781]], "network.0.bias": [-0.160565, -0.157772, 0.410951, -0.790419, 0.217192, 0.253528], "network.2.weight": [[0.035446, -0.417161, -0.088552, -0.132118, 0.110087, -0.35804], [0.455136, -0.383274, 0.078321, -0.706253, -0.044195, -0.694699], [-0.474078, 0.066977, -0.41911, 0.021303, -0.202666, -0.653593], [-0.266637, 0.111372, -0.251971, -0.595647, -0.249875, -0.192784], [0.345408, -0.389195, 0.158696, 0.009069, 0.081764, -0.253655], [0.64454, -0.212021, -0.538546, -0.049803, 0.439116, -0.298839]], "network.2.bias": [-0.037702, 0.238666, 0.044128, -0.609901, -0.300032, -0.19829], "network.4.weight": [[-0.171347, 0.326763, -0.478267, -0.179658, -0.154918, 0.537617], [-0.023092, -0.62549, -0.311069, 0.037455, -0.287169, -0.544321], [-0.168208, 0.165154, 0.211859, 0.670697, 0.128304, -0.460202], [0.09475, -0.511112, 0.190962, -0.400546, -0.271343, 0.24586], [-0.449221, 0.26548, 0.025138, 0.302434, 0.488447, 0.442316], [-0.138091, -0.326576, 0.164075, -0.366107, 0.001663, -0.340361]], "network.4.bias": [0.264256, -0.232404, 0.403736, 0.562481, -0.165221, -0.39959], "network.6.weight": [[0.138585, 0.167589, 0.01772, 0.414459, -0.505015, -0.163324], [-0.468707, -0.222124, -0.347024, -0.381142, -0.310217, 0.350303], [-0.347235, -0.389255, -0.222634, 0.040901, 0.21677, 0.335588], [-0.023003, 0.196859, 0.013716, 0.099235, 0.130308, -0.388999], [-0.372686, 0.092245, -0.103389, -0.14193, 0.241425, 0.118002], [0.294085, 0.072913, -0.428568, -0.853257, 0.540565, -0.240093]], "network.6.bias": [0.641307, -0.098348, -0.180495, -0.17433, -0.376511, 0.025651], "network.8.weight": [[-0.483057, -0.280117, 0.177882, 0.054366, -0.32551, 0.400822]], "network.8.bias": [-0.523274]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6769386529922485, "train_acc": 0.595, "val_loss": 0.6078265905380249, "val_acc": 0.82}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6745224893093109, "train_acc": 0.675, "val_loss": 0.641481876373291, "val_acc": 0.62}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6643199920654297, "train_acc": 0.585, "val_loss": 0.6513742804527283, "val_acc": 0.58}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6623031497001648, "train_acc": 0.575, "val_loss": 0.5583359599113464, "val_acc": 0.72}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6877515912055969, "train_acc": 0.665, "val_loss": 0.46938973665237427, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5747467875480652, "train_acc": 0.74, "val_loss": 0.49382492899894714, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5779453814029694, "train_acc": 0.7, "val_loss": 0.44676730036735535, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5339156687259674, "train_acc": 0.745, "val_loss": 0.39931410551071167, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5430199205875397, "train_acc": 0.755, "val_loss": 0.3666172921657562, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.519759863615036, "train_acc": 0.76, "val_loss": 0.3406294286251068, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.4980815500020981, "train_acc": 0.765, "val_loss": 0.34019172191619873, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.5064960718154907, "train_acc": 0.79, "val_loss": 0.3389517664909363, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.4648195058107376, "train_acc": 0.795, "val_loss": 0.35143643617630005, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.45277218520641327, "train_acc": 0.795, "val_loss": 0.34494495391845703, "val_acc": 0.84}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6078265905380249, "final_val_loss": 0.5583359599113464, "initial_val_acc": 0.82, "final_val_acc": 0.72, "best_val_acc": 0.72}, "improved_stage": {"initial_val_loss": 0.46938973665237427, "final_val_loss": 0.34494495391845703, "initial_val_acc": 0.9, "final_val_acc": 0.84, "best_val_acc": 0.9, "best_epoch": 4}, "improvement": 0.18000000000000005, "first_improvement_epoch": 3}}
|
9,737
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.58, "improved_accuracy": 0.88, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2822, "learning_rate": 0.0829407457634386, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"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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"network.6.weight": [
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0.690998,
-0.063044,
0.749732
],
[
0.577586,
0.304051,
0.718899,
-0.133564,
0.712668
]
],
"network.6.bias": [
-0.111206,
0.32383,
0.15799,
-0.384428,
-0.395825
],
"network.8.weight": [
[
-1.056345,
0.543979,
0.035687,
-0.860773,
-0.561461
]
],
"network.8.bias": [
0.163076
]
}
## Activation Signature
### 0
mean: [1.072457, -2.655185, 2.049396, 2.042831, -2.473963]
std: [1.744450, 2.470849, 2.407498, 2.016655, 2.358356]
pca: [[0.147002, 0.794203, -0.570888, -0.088353, 0.117953, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.551493, 0.148656, 0.142014, 0.567394, -0.575892, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.452615, 0.579123, 0.663300, -0.019255, -0.139351, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.448956, -0.017899, -0.200932, 0.811376, 0.315298, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.517517, 0.106957, 0.416627, 0.107496, 0.731849, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.899703, 28.329071, 29.343510, 31.353221, 96.521167], [39.945679, 45.236987, 51.714547, 55.136871, 238.966593], [37.657968, 38.249837, 42.459320, 55.190448, 184.445609], [35.134684, 36.410919, 41.283350, 42.738058, 183.854773], [39.776018, 45.871442, 48.860519, 50.305240, 222.656725]]
### 2
mean: [-0.120278, -1.411822, -2.036422, 0.804779, 2.217944]
std: [1.401223, 1.500759, 1.218212, 1.598725, 2.725818]
pca: [[-0.378912, -0.178321, 0.114813, 0.389397, 0.812290, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.393153, 0.192053, 0.791050, -0.424665, -0.049468, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.144863, 0.719500, 0.080403, 0.635566, -0.225667, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.352791, -0.626383, 0.169250, 0.420037, -0.527358, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.745928, -0.145879, 0.570919, 0.296067, 0.093307, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.507870, 20.668024, 24.886107, 27.668395, 31.561452], [25.957243, 27.168307, 30.469611, 32.225496, 127.063931], [19.337636, 19.417990, 19.609079, 28.918614, 183.278018], [24.444235, 27.664672, 32.284452, 32.657887, 72.430098], [41.705177, 42.252228, 55.500769, 58.216561, 199.614930]]
### 4
mean: [0.449859, 2.207914, 1.562841, 0.646304, 0.644560]
std: [0.612074, 2.519499, 3.205595, 2.055934, 2.538685]
pca: [[0.117356, 0.011303, 0.668698, 0.634672, 0.368965, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.471249, 0.686736, -0.179355, 0.327225, -0.408746, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.618430, 0.118824, -0.126393, -0.372660, 0.669757, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.380404, 0.644058, 0.465461, -0.468755, 0.064006, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.486816, -0.315175, 0.536699, -0.362640, -0.494086, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.598075, 10.375377, 12.320359, 13.843089, 40.487330], [38.497779, 38.913173, 52.859086, 55.322461, 198.712265], [45.573965, 57.584474, 66.820575, 68.925648, 140.655713], [31.193143, 38.554385, 39.942424, 41.874320, 58.167377], [36.113361, 48.076468, 51.849200, 52.486501, 58.010428]]
### 6
mean: [4.224360, 0.127853, -0.820646, 2.990085, 2.802538]
std: [6.209260, 2.882377, 1.782519, 4.372975, 4.364024]
pca: [[0.664751, 0.095505, 0.724558, 0.088756, 0.126974, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.292657, 0.924272, 0.178525, -0.021834, -0.166510, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.190551, 0.103246, -0.047167, 0.583998, 0.780866, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.467090, 0.306493, -0.481159, -0.518952, 0.432510, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.466878, 0.178894, -0.457609, 0.617480, -0.399168, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[89.662201, 102.703769, 126.046879, 139.953142, 380.192436], [39.117240, 43.125063, 57.182757, 57.245127, 58.830286], [25.490916, 31.183505, 36.107570, 39.777624, 73.858131], [63.573919, 69.391695, 87.115624, 99.503041, 269.107676], [63.012702, 70.821250, 87.451137, 99.000463, 252.228424]]
### 8
mean: [-8.427402]
std: [12.760208]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[182.236000, 207.826372, 255.458412, 289.884452, 758.466168]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.11723,
0.404201,
0.497723,
0.022529,
-0.743397
],
[
-0.393202,
-0.17326,
-0.141725,
-0.028109,
-1.094778
],
[
0.180622,
0.069874,
0.774034,
-0.450256,
0.665206
],
[
0.39951,
0.289378,
0.079918,
-0.106312,
0.816689
],
[
-0.550554,
-0.196755,
-0.086602,
-0.109762,
-0.899483
]
],
"network.0.bias": [
0.310659,
-0.143595,
0.225553,
0.072143,
0.095345
],
"network.2.weight": [
[
0.470578,
-0.852217,
-0.058389,
-0.484338,
-0.198713
],
[
0.016972,
0.216766,
-0.024751,
-0.715817,
-0.000644
],
[
-0.487458,
0.31435,
-0.390041,
-0.073151,
-0.449022
],
[
0.802824,
-0.791766,
0.186208,
-0.547655,
-0.431856
],
[
-0.718237,
0.159232,
0.611295,
0.6016,
0.77236
]
],
"network.2.bias": [
0.304216,
0.05915,
-0.436125,
0.398597,
0.672929
],
"network.4.weight": [
[
-0.421149,
-0.383434,
-0.671332,
-0.003028,
0.171543
],
[
-0.34829,
-0.475932,
-0.827032,
-0.057304,
0.895416
],
[
-0.673321,
-0.572759,
-0.33505,
-0.675617,
0.902703
],
[
0.452294,
0.143532,
0.074466,
0.997273,
-0.325023
],
[
-0.862743,
-0.806821,
-0.321338,
-0.748326,
0.571503
]
],
"network.4.bias": [
0.155588,
0.294054,
0.439483,
0.172376,
0.404696
],
"network.6.weight": [
[
0.439132,
0.774766,
0.814381,
-0.351332,
0.867333
],
[
0.082227,
0.266441,
-0.689632,
0.970876,
-0.350159
],
[
0.296659,
-0.143905,
-0.378491,
0.228706,
-0.188959
],
[
-0.194531,
0.495442,
0.690998,
-0.063044,
0.749732
],
[
0.577586,
0.304051,
0.718899,
-0.133564,
0.712668
]
],
"network.6.bias": [
-0.111206,
0.32383,
0.15799,
-0.384428,
-0.395825
],
"network.8.weight": [
[
-1.056345,
0.543979,
0.035687,
-0.860773,
-0.561461
]
],
"network.8.bias": [
0.163076
]
}
## Activation Signature
### 0
mean: [1.072457, -2.655185, 2.049396, 2.042831, -2.473963]
std: [1.744450, 2.470849, 2.407498, 2.016655, 2.358356]
pca: [[0.147002, 0.794203, -0.570888, -0.088353, 0.117953, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.551493, 0.148656, 0.142014, 0.567394, -0.575892, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.452615, 0.579123, 0.663300, -0.019255, -0.139351, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.448956, -0.017899, -0.200932, 0.811376, 0.315298, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.517517, 0.106957, 0.416627, 0.107496, 0.731849, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.899703, 28.329071, 29.343510, 31.353221, 96.521167], [39.945679, 45.236987, 51.714547, 55.136871, 238.966593], [37.657968, 38.249837, 42.459320, 55.190448, 184.445609], [35.134684, 36.410919, 41.283350, 42.738058, 183.854773], [39.776018, 45.871442, 48.860519, 50.305240, 222.656725]]
### 2
mean: [-0.120278, -1.411822, -2.036422, 0.804779, 2.217944]
std: [1.401223, 1.500759, 1.218212, 1.598725, 2.725818]
pca: [[-0.378912, -0.178321, 0.114813, 0.389397, 0.812290, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.393153, 0.192053, 0.791050, -0.424665, -0.049468, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.144863, 0.719500, 0.080403, 0.635566, -0.225667, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.352791, -0.626383, 0.169250, 0.420037, -0.527358, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.745928, -0.145879, 0.570919, 0.296067, 0.093307, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.507870, 20.668024, 24.886107, 27.668395, 31.561452], [25.957243, 27.168307, 30.469611, 32.225496, 127.063931], [19.337636, 19.417990, 19.609079, 28.918614, 183.278018], [24.444235, 27.664672, 32.284452, 32.657887, 72.430098], [41.705177, 42.252228, 55.500769, 58.216561, 199.614930]]
### 4
mean: [0.449859, 2.207914, 1.562841, 0.646304, 0.644560]
std: [0.612074, 2.519499, 3.205595, 2.055934, 2.538685]
pca: [[0.117356, 0.011303, 0.668698, 0.634672, 0.368965, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.471249, 0.686736, -0.179355, 0.327225, -0.408746, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.618430, 0.118824, -0.126393, -0.372660, 0.669757, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.380404, 0.644058, 0.465461, -0.468755, 0.064006, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.486816, -0.315175, 0.536699, -0.362640, -0.494086, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.598075, 10.375377, 12.320359, 13.843089, 40.487330], [38.497779, 38.913173, 52.859086, 55.322461, 198.712265], [45.573965, 57.584474, 66.820575, 68.925648, 140.655713], [31.193143, 38.554385, 39.942424, 41.874320, 58.167377], [36.113361, 48.076468, 51.849200, 52.486501, 58.010428]]
### 6
mean: [4.224360, 0.127853, -0.820646, 2.990085, 2.802538]
std: [6.209260, 2.882377, 1.782519, 4.372975, 4.364024]
pca: [[0.664751, 0.095505, 0.724558, 0.088756, 0.126974, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.292657, 0.924272, 0.178525, -0.021834, -0.166510, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.190551, 0.103246, -0.047167, 0.583998, 0.780866, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.467090, 0.306493, -0.481159, -0.518952, 0.432510, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.466878, 0.178894, -0.457609, 0.617480, -0.399168, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[89.662201, 102.703769, 126.046879, 139.953142, 380.192436], [39.117240, 43.125063, 57.182757, 57.245127, 58.830286], [25.490916, 31.183505, 36.107570, 39.777624, 73.858131], [63.573919, 69.391695, 87.115624, 99.503041, 269.107676], [63.012702, 70.821250, 87.451137, 99.000463, 252.228424]]
### 8
mean: [-8.427402]
std: [12.760208]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[182.236000, 207.826372, 255.458412, 289.884452, 758.466168]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 1.0724574327468872, "std": 1.7444496154785156, "pca": [0.1470016986131668, 0.7942026257514954, -0.5708884000778198, -0.0883525162935257, 0.11795298755168915, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [27.899702666913253, 28.329070847441358, 29.343510380303787, 31.353221108587135, 96.52116680145264]}, "1": {"mean": -2.655184507369995, "std": 2.4708492755889893, "pca": [0.5514934659004211, 0.14865587651729584, 0.1420144885778427, 0.5673943758010864, -0.5758922696113586, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [39.94567881945455, 45.23698702862773, 51.7145473734581, 55.13687121158763, 238.96659250557423]}, "2": {"mean": 2.049395799636841, "std": 2.4074978828430176, "pca": [-0.45261499285697937, 0.5791230201721191, 0.6632998585700989, -0.01925507001578808, -0.13935105502605438, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [37.657967513878106, 38.249837021824305, 42.45932009208011, 55.19044758446822, 184.44560888409615]}, "3": {"mean": 2.0428309440612793, "std": 2.016655445098877, "pca": [-0.44895631074905396, -0.01789930835366249, -0.2009320855140686, 0.81137615442276, 0.31529805064201355, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [35.13468430685143, 36.41091876610552, 41.28335021494958, 42.738057867799206, 183.85477270185947]}, "4": {"mean": -2.473963499069214, "std": 2.35835599899292, "pca": [0.517516553401947, 0.10695671290159225, 0.41662678122520447, 0.10749607533216476, 0.7318494319915771, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [39.77601833318143, 45.871442411482825, 48.86051944280553, 50.305239893920984, 222.6567246541381]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": -0.12027838826179504, "std": 1.4012227058410645, "pca": [-0.37891238927841187, -0.1783209592103958, 0.11481266468763351, 0.3893967866897583, 0.8122901320457458, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [20.50787042461436, 20.668024285786238, 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"4": {"mean": 2.2179436683654785, "std": 2.7258176803588867, "pca": [0.7459284663200378, -0.14587894082069397, 0.5709187984466553, 0.2960669696331024, 0.09330662339925766, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [41.70517694109956, 42.25222750907537, 55.50076913989967, 58.21656145768867, 199.61493030190468]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "4": {"neuron_profiles": {"0": {"mean": 0.4498592019081116, "std": 0.6120737791061401, "pca": [0.11735589057207108, 0.01130290050059557, 0.6686975359916687, 0.6346720457077026, 0.3689645528793335, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [8.598075206941216, 10.375376756046432, 12.320359277128686, 13.843089078690287, 40.4873303771019]}, "1": {"mean": 2.207914113998413, "std": 2.519498825073242, "pca": [0.4712488055229187, 0.6867362856864929, -0.1793546825647354, 0.3272254467010498, -0.4087459146976471, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [38.4977790874942, 38.91317280323405, 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"layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "6": {"neuron_profiles": {"0": {"mean": 4.224360466003418, "std": 6.209259986877441, "pca": [0.6647512912750244, 0.09550514817237854, 0.7245580554008484, 0.08875608444213867, 0.12697431445121765, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [89.66220143054389, 102.70376868926908, 126.04687867427936, 139.95314179652348, 380.1924357190728]}, "1": {"mean": 0.1278529167175293, "std": 2.8823766708374023, "pca": [-0.29265713691711426, 0.9242717623710632, 0.1785251945257187, -0.021833855658769608, -0.1665099561214447, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [39.1172395577795, 43.125062649035534, 57.18275667046372, 57.24512728434479, 58.83028557879863]}, "2": {"mean": -0.8206459283828735, "std": 1.7825185060501099, "pca": [-0.19055087864398956, 0.10324594378471375, -0.04716657102108002, 0.583997905254364, 0.7808664441108704, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [25.490916391986982, 31.183504915128065, 36.107570294161384, 39.777623991380146, 73.85813148319721]}, "3": {"mean": 2.9900851249694824, "std": 4.372974872589111, "pca": [0.4670896530151367, 0.30649271607398987, -0.48115891218185425, -0.5189517736434937, 0.4325096905231476, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [63.57391859717665, 69.39169480762567, 87.11562443755597, 99.5030414528694, 269.10767620801926]}, "4": {"mean": 2.8025381565093994, "std": 4.3640241622924805, "pca": [0.46687808632850647, 0.1788937747478485, -0.45760875940322876, 0.6174797415733337, -0.3991677463054657, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [63.01270222769626, 70.82125048046153, 87.45113706951172, 99.0004633442544, 252.22842395305634]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -8.42740249633789, "std": 12.760208129882812, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [182.23599961953465, 207.82637209214747, 255.4584116255827, 289.8844520240034, 758.4661677926779]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.11723, 0.404201, 0.497723, 0.022529, -0.743397], [-0.393202, -0.17326, -0.141725, -0.028109, -1.094778], [0.180622, 0.069874, 0.774034, -0.450256, 0.665206], [0.39951, 0.289378, 0.079918, -0.106312, 0.816689], [-0.550554, -0.196755, -0.086602, -0.109762, -0.899483]], "network.0.bias": [0.310659, -0.143595, 0.225553, 0.072143, 0.095345], "network.2.weight": [[0.470578, -0.852217, -0.058389, -0.484338, -0.198713], [0.016972, 0.216766, -0.024751, -0.715817, -0.000644], [-0.487458, 0.31435, -0.390041, -0.073151, -0.449022], [0.802824, -0.791766, 0.186208, -0.547655, -0.431856], [-0.718237, 0.159232, 0.611295, 0.6016, 0.77236]], "network.2.bias": [0.304216, 0.05915, -0.436125, 0.398597, 0.672929], "network.4.weight": [[-0.421149, -0.383434, -0.671332, -0.003028, 0.171543], [-0.34829, -0.475932, -0.827032, -0.057304, 0.895416], [-0.673321, -0.572759, -0.33505, -0.675617, 0.902703], [0.452294, 0.143532, 0.074466, 0.997273, -0.325023], [-0.862743, -0.806821, -0.321338, -0.748326, 0.571503]], "network.4.bias": [0.155588, 0.294054, 0.439483, 0.172376, 0.404696], "network.6.weight": [[0.439132, 0.774766, 0.814381, -0.351332, 0.867333], [0.082227, 0.266441, -0.689632, 0.970876, -0.350159], [0.296659, -0.143905, -0.378491, 0.228706, -0.188959], [-0.194531, 0.495442, 0.690998, -0.063044, 0.749732], [0.577586, 0.304051, 0.718899, -0.133564, 0.712668]], "network.6.bias": [-0.111206, 0.32383, 0.15799, -0.384428, -0.395825], "network.8.weight": [[-1.056345, 0.543979, 0.035687, -0.860773, -0.561461]], "network.8.bias": [0.163076]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6941110491752625, "train_acc": 0.54, "val_loss": 0.6813889145851135, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6875996887683868, "train_acc": 0.54, "val_loss": 0.678965151309967, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6742154657840729, "train_acc": 0.54, "val_loss": 0.6224168539047241, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5983473658561707, "train_acc": 0.595, "val_loss": 0.3908720910549164, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.3880304992198944, "train_acc": 0.825, "val_loss": 0.31328117847442627, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.34115050733089447, "train_acc": 0.895, "val_loss": 0.32837146520614624, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.30802351236343384, "train_acc": 0.9, "val_loss": 0.6355916261672974, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3429308980703354, "train_acc": 0.88, "val_loss": 0.33270445466041565, "val_acc": 0.84}], "summary": {"total_epochs": 8, "degraded_epochs": 3, "improved_epochs": 5, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6813889145851135, "final_val_loss": 0.6224168539047241, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.3908720910549164, "final_val_loss": 0.33270445466041565, "initial_val_acc": 0.84, "final_val_acc": 0.84, "best_val_acc": 0.88, "best_epoch": 5}, "improvement": 0.30000000000000004, "first_improvement_epoch": 2}}
|
9,738
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.88, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9916, "learning_rate": 0.01180891120516115, "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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[
0.112832,
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0.505306,
0.264634,
0.504596
],
[
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[
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],
[
0.319527,
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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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],
"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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"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: [2.187720, 1.704971, -0.793919, -1.863806, -0.023183, -1.052025]
std: [1.695659, 1.435606, 0.689123, 1.553657, 1.669885, 1.101814]
pca: [[0.559626, -0.533964, -0.032333, 0.057952, 0.506274, -0.375478, 0.000000, 0.000000, 0.000000, 0.000000], [0.479589, -0.126446, 0.454277, -0.529701, -0.231005, 0.462268, 0.000000, 0.000000, 0.000000, 0.000000], [-0.212868, 0.150603, -0.158317, -0.282288, 0.772459, 0.480169, 0.000000, 0.000000, 0.000000, 0.000000], [-0.525082, -0.200393, 0.466373, -0.484043, 0.105432, -0.470335, 0.000000, 0.000000, 0.000000, 0.000000], [0.343844, 0.789714, 0.295362, -0.025257, 0.212095, -0.353924, 0.000000, 0.000000, 0.000000, 0.000000], [-0.132515, -0.111387, 0.680279, 0.633590, 0.193727, 0.261316, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.181641, 30.463476, 30.603299, 33.381760, 196.894838], [22.159171, 22.778208, 26.485980, 29.045429, 153.447407], [11.634477, 11.710180, 12.312306, 15.443920, 71.452714], [23.900265, 24.018997, 25.798978, 25.889280, 167.742504], [23.671209, 24.394724, 24.756216, 28.153448, 33.863542], [16.165785, 16.434722, 18.588268, 20.851999, 94.682280]]
### 2
mean: [1.308022, 0.340165, -0.165320, 0.809187, -0.315725, 1.312721]
std: [1.189777, 0.733697, 0.386546, 0.701820, 0.494536, 1.070248]
pca: [[0.642807, -0.336414, 0.211948, 0.026206, 0.599862, 0.261116, 0.000000, 0.000000, 0.000000, 0.000000], [0.080445, 0.830505, -0.233780, 0.190303, 0.461130, -0.016734, 0.000000, 0.000000, 0.000000, 0.000000], [-0.213045, -0.025385, 0.035373, 0.645512, -0.139496, 0.718729, 0.000000, 0.000000, 0.000000, 0.000000], [0.327877, 0.434048, 0.696039, -0.167748, -0.411420, 0.149072, 0.000000, 0.000000, 0.000000, 0.000000], [-0.269769, -0.082746, 0.562929, 0.515314, 0.249765, -0.524935, 0.000000, 0.000000, 0.000000, 0.000000], [0.595534, -0.034600, -0.312751, 0.502716, -0.420020, -0.342328, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.343386, 18.450870, 21.914762, 22.860285, 117.721994], [12.253240, 12.567061, 13.272003, 15.589570, 30.614828], [5.589761, 6.070012, 7.434614, 8.032624, 14.878790], [11.727311, 12.865685, 13.161971, 13.630022, 72.826803], [6.980718, 8.789967, 9.732156, 9.768711, 28.415249], [15.485251, 17.049317, 20.618616, 21.464708, 118.144905]]
### 4
mean: [1.233741, 0.259063, -0.361061, 0.187896, 0.514108, 0.532047]
std: [0.978279, 0.578065, 0.321036, 0.671992, 0.221802, 0.438825]
pca: [[0.727488, 0.350052, -0.515680, 0.091785, 0.129433, -0.239002, 0.000000, 0.000000, 0.000000, 0.000000], [0.423881, -0.254312, 0.312117, 0.670804, -0.108204, 0.443337, 0.000000, 0.000000, 0.000000, 0.000000], [-0.243484, 0.037158, -0.008849, 0.347445, 0.903620, -0.044824, 0.000000, 0.000000, 0.000000, 0.000000], [0.465445, -0.463775, 0.433321, -0.482316, 0.323901, -0.207284, 0.000000, 0.000000, 0.000000, 0.000000], [0.103297, 0.291584, -0.055576, -0.432125, 0.221912, 0.815624, 0.000000, 0.000000, 0.000000, 0.000000], [0.067028, 0.715052, 0.667625, 0.038973, -0.029216, -0.190030, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.891050, 15.960536, 19.080939, 20.167889, 111.036652], [9.444914, 10.214292, 10.252456, 11.023860, 23.315689], [4.847332, 5.438174, 5.828139, 6.447947, 32.495526], [11.080623, 11.099830, 11.693671, 12.710546, 16.910609], [3.584081, 3.795170, 3.890423, 4.370566, 46.269699], [7.215391, 7.924542, 8.366990, 8.478388, 47.884190]]
### 6
mean: [0.506858, 1.080954, 0.077515, -0.488552, -0.178198, 0.316932]
std: [0.177833, 0.470282, 0.583750, 0.285176, 0.241421, 0.424207]
pca: [[-0.009227, 0.328993, 0.742927, 0.334656, -0.052067, -0.474377, 0.000000, 0.000000, 0.000000, 0.000000], [0.371432, 0.708964, -0.272031, 0.299014, 0.379671, 0.227700, 0.000000, 0.000000, 0.000000, 0.000000], [0.682812, -0.390676, 0.070380, -0.181767, 0.467103, -0.353500, 0.000000, 0.000000, 0.000000, 0.000000], [-0.344364, -0.119077, 0.440401, -0.092228, 0.661878, 0.476122, 0.000000, 0.000000, 0.000000, 0.000000], [0.021960, -0.469258, -0.100380, 0.867586, 0.023785, 0.126363, 0.000000, 0.000000, 0.000000, 0.000000], [0.525977, -0.046084, 0.406296, -0.065924, -0.443063, 0.596235, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.580489, 3.138783, 3.262380, 3.659546, 45.617244], [7.175925, 8.164355, 8.879382, 9.487414, 97.285840], [9.404857, 9.464548, 9.660085, 11.353936, 11.696179], [4.386937, 5.118780, 5.369618, 5.527153, 43.969661], [3.762476, 4.265385, 4.266399, 5.046790, 16.037841], [6.606821, 7.408962, 8.034976, 8.080207, 28.523871]]
### 8
mean: [-0.389494, -0.416917, -0.043744, -0.167082, 0.465649, -0.320846]
std: [0.328159, 0.392859, 0.031766, 0.173080, 0.208288, 0.297801]
pca: [[0.551115, 0.175956, 0.568785, -0.170342, 0.211117, -0.517888, 0.000000, 0.000000, 0.000000, 0.000000], [0.667898, -0.087856, -0.125773, -0.373752, -0.328390, 0.531831, 0.000000, 0.000000, 0.000000, 0.000000], [0.011045, 0.090556, -0.371605, -0.434632, 0.808250, 0.106834, 0.000000, 0.000000, 0.000000, 0.000000], [-0.111282, -0.564731, 0.595515, 0.085487, 0.325311, 0.448243, 0.000000, 0.000000, 0.000000, 0.000000], [0.078863, 0.724306, 0.191843, 0.425105, 0.172300, 0.471122, 0.000000, 0.000000, 0.000000, 0.000000], [0.481102, -0.331028, -0.362122, 0.674066, 0.242501, -0.121066, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.135656, 6.165947, 6.346260, 6.352006, 35.054462], [5.933573, 6.518477, 7.799022, 8.767889, 37.522559], [0.454226, 0.492225, 0.548566, 0.581551, 3.936951], [2.623676, 2.914768, 3.148688, 3.438399, 15.037374], [3.232234, 3.504828, 3.953510, 4.146846, 41.908403], [4.170145, 4.185243, 5.543663, 7.191466, 28.876164]]
### 10
mean: [-0.131797]
std: [0.256581]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.707436, 4.229387, 4.669981, 5.520881, 11.861727]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": [
[
0.112832,
-0.047759,
0.505306,
0.264634,
0.504596
],
[
0.135264,
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-0.028115,
0.345913,
0.608352
],
[
0.06366,
-0.107226,
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0.021754,
-0.336989
],
[
0.319527,
-0.408953,
-0.287299,
-0.415091,
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],
[
-0.445967,
0.144119,
-0.376372,
0.439773,
0.31274
],
[
-0.223038,
-0.065628,
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0.333959
]
],
"network.0.bias": [
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0.460547,
-0.097674,
0.219147,
-0.273403,
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],
"network.2.weight": [
[
0.125676,
0.484468,
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],
[
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0.156393,
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0.237105
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[
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0.154533,
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[
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0.507849,
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[
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],
[
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0.402505,
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0.235152,
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]
],
"network.2.bias": [
0.042974,
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0.041525,
0.351841,
0.0739
],
"network.4.weight": [
[
0.154605,
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0.457653
],
[
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0.046092,
0.171643
],
[
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0.019286,
-0.280795
],
[
0.428623,
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0.568687,
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0.54218,
0.209854
],
[
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0.257952,
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0.023978,
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],
[
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0.220072,
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]
],
"network.4.bias": [
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],
"network.6.weight": [
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[
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[
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0.247002,
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[
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],
[
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],
"network.6.bias": [
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],
"network.8.weight": [
[
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],
[
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],
[
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],
[
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[
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[
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]
],
"network.8.bias": [
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0.031123,
-0.087205
],
"network.10.weight": [
[
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]
],
"network.10.bias": [
0.052533
]
}
## Activation Signature
### 0
mean: [2.187720, 1.704971, -0.793919, -1.863806, -0.023183, -1.052025]
std: [1.695659, 1.435606, 0.689123, 1.553657, 1.669885, 1.101814]
pca: [[0.559626, -0.533964, -0.032333, 0.057952, 0.506274, -0.375478, 0.000000, 0.000000, 0.000000, 0.000000], [0.479589, -0.126446, 0.454277, -0.529701, -0.231005, 0.462268, 0.000000, 0.000000, 0.000000, 0.000000], [-0.212868, 0.150603, -0.158317, -0.282288, 0.772459, 0.480169, 0.000000, 0.000000, 0.000000, 0.000000], [-0.525082, -0.200393, 0.466373, -0.484043, 0.105432, -0.470335, 0.000000, 0.000000, 0.000000, 0.000000], [0.343844, 0.789714, 0.295362, -0.025257, 0.212095, -0.353924, 0.000000, 0.000000, 0.000000, 0.000000], [-0.132515, -0.111387, 0.680279, 0.633590, 0.193727, 0.261316, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.181641, 30.463476, 30.603299, 33.381760, 196.894838], [22.159171, 22.778208, 26.485980, 29.045429, 153.447407], [11.634477, 11.710180, 12.312306, 15.443920, 71.452714], [23.900265, 24.018997, 25.798978, 25.889280, 167.742504], [23.671209, 24.394724, 24.756216, 28.153448, 33.863542], [16.165785, 16.434722, 18.588268, 20.851999, 94.682280]]
### 2
mean: [1.308022, 0.340165, -0.165320, 0.809187, -0.315725, 1.312721]
std: [1.189777, 0.733697, 0.386546, 0.701820, 0.494536, 1.070248]
pca: [[0.642807, -0.336414, 0.211948, 0.026206, 0.599862, 0.261116, 0.000000, 0.000000, 0.000000, 0.000000], [0.080445, 0.830505, -0.233780, 0.190303, 0.461130, -0.016734, 0.000000, 0.000000, 0.000000, 0.000000], [-0.213045, -0.025385, 0.035373, 0.645512, -0.139496, 0.718729, 0.000000, 0.000000, 0.000000, 0.000000], [0.327877, 0.434048, 0.696039, -0.167748, -0.411420, 0.149072, 0.000000, 0.000000, 0.000000, 0.000000], [-0.269769, -0.082746, 0.562929, 0.515314, 0.249765, -0.524935, 0.000000, 0.000000, 0.000000, 0.000000], [0.595534, -0.034600, -0.312751, 0.502716, -0.420020, -0.342328, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.343386, 18.450870, 21.914762, 22.860285, 117.721994], [12.253240, 12.567061, 13.272003, 15.589570, 30.614828], [5.589761, 6.070012, 7.434614, 8.032624, 14.878790], [11.727311, 12.865685, 13.161971, 13.630022, 72.826803], [6.980718, 8.789967, 9.732156, 9.768711, 28.415249], [15.485251, 17.049317, 20.618616, 21.464708, 118.144905]]
### 4
mean: [1.233741, 0.259063, -0.361061, 0.187896, 0.514108, 0.532047]
std: [0.978279, 0.578065, 0.321036, 0.671992, 0.221802, 0.438825]
pca: [[0.727488, 0.350052, -0.515680, 0.091785, 0.129433, -0.239002, 0.000000, 0.000000, 0.000000, 0.000000], [0.423881, -0.254312, 0.312117, 0.670804, -0.108204, 0.443337, 0.000000, 0.000000, 0.000000, 0.000000], [-0.243484, 0.037158, -0.008849, 0.347445, 0.903620, -0.044824, 0.000000, 0.000000, 0.000000, 0.000000], [0.465445, -0.463775, 0.433321, -0.482316, 0.323901, -0.207284, 0.000000, 0.000000, 0.000000, 0.000000], [0.103297, 0.291584, -0.055576, -0.432125, 0.221912, 0.815624, 0.000000, 0.000000, 0.000000, 0.000000], [0.067028, 0.715052, 0.667625, 0.038973, -0.029216, -0.190030, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.891050, 15.960536, 19.080939, 20.167889, 111.036652], [9.444914, 10.214292, 10.252456, 11.023860, 23.315689], [4.847332, 5.438174, 5.828139, 6.447947, 32.495526], [11.080623, 11.099830, 11.693671, 12.710546, 16.910609], [3.584081, 3.795170, 3.890423, 4.370566, 46.269699], [7.215391, 7.924542, 8.366990, 8.478388, 47.884190]]
### 6
mean: [0.506858, 1.080954, 0.077515, -0.488552, -0.178198, 0.316932]
std: [0.177833, 0.470282, 0.583750, 0.285176, 0.241421, 0.424207]
pca: [[-0.009227, 0.328993, 0.742927, 0.334656, -0.052067, -0.474377, 0.000000, 0.000000, 0.000000, 0.000000], [0.371432, 0.708964, -0.272031, 0.299014, 0.379671, 0.227700, 0.000000, 0.000000, 0.000000, 0.000000], [0.682812, -0.390676, 0.070380, -0.181767, 0.467103, -0.353500, 0.000000, 0.000000, 0.000000, 0.000000], [-0.344364, -0.119077, 0.440401, -0.092228, 0.661878, 0.476122, 0.000000, 0.000000, 0.000000, 0.000000], [0.021960, -0.469258, -0.100380, 0.867586, 0.023785, 0.126363, 0.000000, 0.000000, 0.000000, 0.000000], [0.525977, -0.046084, 0.406296, -0.065924, -0.443063, 0.596235, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.580489, 3.138783, 3.262380, 3.659546, 45.617244], [7.175925, 8.164355, 8.879382, 9.487414, 97.285840], [9.404857, 9.464548, 9.660085, 11.353936, 11.696179], [4.386937, 5.118780, 5.369618, 5.527153, 43.969661], [3.762476, 4.265385, 4.266399, 5.046790, 16.037841], [6.606821, 7.408962, 8.034976, 8.080207, 28.523871]]
### 8
mean: [-0.389494, -0.416917, -0.043744, -0.167082, 0.465649, -0.320846]
std: [0.328159, 0.392859, 0.031766, 0.173080, 0.208288, 0.297801]
pca: [[0.551115, 0.175956, 0.568785, -0.170342, 0.211117, -0.517888, 0.000000, 0.000000, 0.000000, 0.000000], [0.667898, -0.087856, -0.125773, -0.373752, -0.328390, 0.531831, 0.000000, 0.000000, 0.000000, 0.000000], [0.011045, 0.090556, -0.371605, -0.434632, 0.808250, 0.106834, 0.000000, 0.000000, 0.000000, 0.000000], [-0.111282, -0.564731, 0.595515, 0.085487, 0.325311, 0.448243, 0.000000, 0.000000, 0.000000, 0.000000], [0.078863, 0.724306, 0.191843, 0.425105, 0.172300, 0.471122, 0.000000, 0.000000, 0.000000, 0.000000], [0.481102, -0.331028, -0.362122, 0.674066, 0.242501, -0.121066, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.135656, 6.165947, 6.346260, 6.352006, 35.054462], [5.933573, 6.518477, 7.799022, 8.767889, 37.522559], [0.454226, 0.492225, 0.548566, 0.581551, 3.936951], [2.623676, 2.914768, 3.148688, 3.438399, 15.037374], [3.232234, 3.504828, 3.953510, 4.146846, 41.908403], [4.170145, 4.185243, 5.543663, 7.191466, 28.876164]]
### 10
mean: [-0.131797]
std: [0.256581]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.707436, 4.229387, 4.669981, 5.520881, 11.861727]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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9,739
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{"target_pattern": "alternating", "degraded_accuracy": 0.52, "improved_accuracy": 1.0, "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": 6899, "learning_rate": 0.04702609224718298, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
mean: [-0.553717, -1.214265, -1.047011, 0.025791, 1.147367, 1.262009, 0.587909, -1.832767]
std: [1.781760, 1.067781, 1.201367, 1.457113, 1.654116, 1.828962, 1.373643, 1.153525]
pca: [[-0.371104, -0.369825, 0.736394, 0.181666, 0.249841, 0.130570, -0.129811, -0.232192, 0.000000, 0.000000], [-0.149344, -0.295746, -0.387365, 0.616258, -0.074554, -0.290892, 0.280848, -0.437439, 0.000000, 0.000000], [-0.336588, -0.221254, -0.160688, 0.333216, 0.144555, 0.064684, 0.020638, 0.821824, 0.000000, 0.000000], [-0.449671, -0.061339, 0.088320, -0.513042, -0.077694, -0.396867, 0.597084, 0.054513, 0.000000, 0.000000], [0.505862, 0.140378, 0.237464, 0.204089, 0.515657, -0.002827, 0.591414, 0.103324, 0.000000, 0.000000], [-0.356773, 0.660227, -0.035490, 0.145925, 0.440613, -0.382867, -0.260502, -0.075303, 0.000000, 0.000000], [-0.375658, 0.301562, -0.196807, 0.013502, 0.046021, 0.765743, 0.321364, -0.193058, 0.000000, 0.000000], [0.013429, -0.420123, -0.421509, -0.387105, 0.665529, 0.060735, -0.162575, -0.150829, 0.000000, 0.000000]]
fourier: [[27.969613, 28.431953, 30.845948, 31.015048, 49.834524], [16.514597, 17.079492, 20.346725, 22.439417, 109.283808], [19.675006, 20.238580, 21.582524, 21.595978, 94.230948], [22.173899, 23.481194, 24.489553, 24.626420, 25.153822], [26.742489, 26.768976, 26.963078, 30.126230, 103.263035], [28.946280, 29.979455, 30.644252, 30.649271, 113.580837], [21.036638, 22.367903, 23.931312, 25.943617, 52.911817], [18.282454, 18.539924, 18.841950, 19.910092, 164.948982]]
### 2
mean: [0.248647, 0.938786, 1.487244, 0.330165, 0.972427, 1.343325, -0.890014, 0.756966]
std: [1.519234, 1.137211, 2.028741, 0.445323, 1.147177, 2.108620, 1.559678, 2.044472]
pca: [[0.339616, 0.246736, -0.479048, -0.225125, -0.334103, 0.005001, 0.376910, 0.538427, 0.000000, 0.000000], [-0.033590, 0.838711, 0.384014, 0.074111, 0.072348, 0.299243, -0.151283, 0.157510, 0.000000, 0.000000], [0.476735, -0.078087, 0.065992, -0.523868, 0.170907, 0.538231, 0.104669, -0.397461, 0.000000, 0.000000], [-0.091674, -0.142803, 0.110455, 0.430088, 0.398294, 0.317633, 0.700256, 0.155369, 0.000000, 0.000000], [0.252640, 0.112261, 0.514673, 0.001358, -0.370957, -0.464511, 0.462666, -0.302062, 0.000000, 0.000000], [0.496339, 0.032117, 0.068698, -0.024897, 0.666653, -0.474900, -0.140966, 0.239686, 0.000000, 0.000000], [-0.334306, 0.420657, -0.464774, -0.183027, 0.309565, -0.263002, 0.275269, -0.470106, 0.000000, 0.000000], [0.475303, 0.136413, -0.347662, 0.671038, -0.132011, 0.096823, -0.155031, -0.365351, 0.000000, 0.000000]]
fourier: [[21.182949, 22.378225, 25.103369, 27.468165, 35.125787], [16.303779, 17.527728, 18.370825, 19.778588, 84.490764], [31.420296, 33.916861, 35.335291, 41.419401, 133.851952], [6.224756, 7.028659, 8.903137, 10.336254, 29.714839], [18.744323, 19.608965, 21.254517, 22.236959, 87.518421], [31.684879, 35.662601, 37.138585, 44.845342, 120.899253], [23.703926, 24.975112, 25.043249, 26.343455, 80.101277], [29.401569, 34.523961, 36.315757, 45.066563, 68.126906]]
### 4
mean: [-0.405518, 3.488765, 3.673084, 3.783535, -0.520925, -1.132166, 0.209834, 2.880969]
std: [1.032026, 4.337553, 4.438412, 3.796156, 1.389969, 2.159715, 0.665077, 3.792195]
pca: [[-0.095056, -0.381242, -0.237175, 0.748024, 0.024682, -0.134435, 0.114063, -0.445123, 0.000000, 0.000000], [0.508758, 0.061217, -0.271271, -0.261909, 0.203483, -0.352303, -0.468074, -0.458930, 0.000000, 0.000000], [0.520022, 0.148062, 0.029709, -0.091105, 0.054641, 0.267373, 0.731999, -0.296942, 0.000000, 0.000000], [0.442816, -0.236634, -0.567764, 0.152746, -0.086801, 0.284867, -0.098639, 0.551196, 0.000000, 0.000000], [-0.081541, 0.731317, -0.146944, 0.386308, 0.431325, 0.274578, -0.161036, 0.018256, 0.000000, 0.000000], [-0.247434, -0.281998, -0.119105, -0.274124, 0.089047, 0.748925, -0.232278, -0.383604, 0.000000, 0.000000], [-0.029165, -0.374112, 0.112791, -0.095392, 0.867822, -0.109880, 0.146620, 0.225124, 0.000000, 0.000000], [0.443730, -0.136680, 0.705989, 0.326733, -0.019474, 0.238362, -0.347794, 0.033012, 0.000000, 0.000000]]
fourier: [[15.096657, 15.473230, 20.583511, 21.326321, 36.496621], [72.023085, 75.898240, 76.732534, 92.739555, 313.988867], [73.353399, 76.811175, 79.528126, 95.821102, 330.577533], [62.908007, 65.545238, 65.692389, 78.948664, 340.518133], [19.039872, 19.832534, 20.490040, 24.267067, 46.883240], [33.700251, 36.693760, 40.261511, 46.435463, 101.894952], [9.649026, 10.199956, 10.679012, 12.340350, 18.885099], [63.230782, 65.220343, 66.608544, 81.218232, 259.287245]]
### 6
mean: [7.795139, -2.708139, -2.330902, -2.748153, -2.363179, 7.687341, 7.584423, -2.377972]
std: [9.347041, 4.428882, 2.597217, 4.475548, 3.874359, 9.535986, 9.320328, 3.730790]
pca: [[0.507886, 0.022992, -0.030418, -0.290499, 0.441187, 0.466347, -0.493398, 0.025349, 0.000000, 0.000000], [-0.239393, -0.333055, -0.448286, 0.264099, -0.357311, 0.630427, -0.120938, -0.146024, 0.000000, 0.000000], [-0.135109, 0.567170, 0.225172, 0.678580, 0.090569, 0.165673, -0.278801, 0.188441, 0.000000, 0.000000], [-0.240824, -0.456754, 0.679556, -0.076696, -0.215320, -0.005107, -0.458342, 0.096097, 0.000000, 0.000000], [-0.209444, -0.290895, 0.301614, 0.175280, 0.614487, 0.328247, 0.503352, -0.105433, 0.000000, 0.000000], [0.517765, -0.280709, 0.067781, 0.505233, -0.017855, -0.270615, -0.082243, -0.559421, 0.000000, 0.000000], [0.506173, -0.229363, 0.087980, 0.206316, -0.247162, 0.125518, 0.316081, 0.681267, 0.000000, 0.000000], [-0.200834, -0.377113, -0.426978, 0.225742, 0.429088, -0.401093, -0.306743, 0.380917, 0.000000, 0.000000]]
fourier: [[153.700016, 164.061581, 165.531440, 199.326471, 701.562513], [69.469436, 78.428888, 79.560135, 93.307828, 243.732530], [41.163610, 42.293494, 47.200320, 52.636319, 209.781197], [68.559657, 79.167370, 82.657972, 95.029671, 247.333747], [60.860309, 67.986771, 70.713169, 82.564255, 212.686123], [159.824235, 165.942588, 167.503400, 203.399175, 691.860661], [155.661256, 162.476067, 163.893591, 198.784779, 682.598050], [56.673050, 66.309346, 67.664786, 78.693905, 214.017472]]
### 8
mean: [-14.239223]
std: [19.335423]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[312.103169, 340.356207, 341.007677, 417.369455, 1281.529980]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.798001,
0.477497,
0.391181,
-0.552607,
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0.065503
],
[
0.211731,
-0.427754,
-0.185049,
-0.195112,
-0.767842,
0.55306,
0.564492,
-0.24258
],
[
0.062603,
-0.145678,
-0.044814,
-0.346851,
0.69525,
-0.582375,
-0.279511,
-0.095388
],
[
-0.042065,
-0.687413,
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0.336709,
-0.640663,
0.403957,
0.344574,
0.033109
],
[
0.070209,
-0.38429,
-0.446431,
0.188292,
-0.437201,
0.549315,
0.421959,
-0.226535
],
[
-0.068348,
0.465408,
0.854916,
0.472477,
0.191678,
-0.517897,
0.371124,
0.490809
],
[
-0.039148,
0.768334,
0.622101,
0.394776,
0.161997,
-0.663465,
0.174913,
0.433457
],
[
0.20969,
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-0.141478,
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0.875383,
0.5698,
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],
"network.6.bias": [
0.053346,
0.832168,
-0.137301,
0.618384,
0.475591,
-0.279974,
-0.061334,
0.407553
],
"network.8.weight": [
[
-0.602459,
0.653545,
-0.125994,
0.972109,
0.399601,
-0.793044,
-0.594709,
0.409671
]
],
"network.8.bias": [
0.385879
]
}
## Activation Signature
### 0
mean: [-0.553717, -1.214265, -1.047011, 0.025791, 1.147367, 1.262009, 0.587909, -1.832767]
std: [1.781760, 1.067781, 1.201367, 1.457113, 1.654116, 1.828962, 1.373643, 1.153525]
pca: [[-0.371104, -0.369825, 0.736394, 0.181666, 0.249841, 0.130570, -0.129811, -0.232192, 0.000000, 0.000000], [-0.149344, -0.295746, -0.387365, 0.616258, -0.074554, -0.290892, 0.280848, -0.437439, 0.000000, 0.000000], [-0.336588, -0.221254, -0.160688, 0.333216, 0.144555, 0.064684, 0.020638, 0.821824, 0.000000, 0.000000], [-0.449671, -0.061339, 0.088320, -0.513042, -0.077694, -0.396867, 0.597084, 0.054513, 0.000000, 0.000000], [0.505862, 0.140378, 0.237464, 0.204089, 0.515657, -0.002827, 0.591414, 0.103324, 0.000000, 0.000000], [-0.356773, 0.660227, -0.035490, 0.145925, 0.440613, -0.382867, -0.260502, -0.075303, 0.000000, 0.000000], [-0.375658, 0.301562, -0.196807, 0.013502, 0.046021, 0.765743, 0.321364, -0.193058, 0.000000, 0.000000], [0.013429, -0.420123, -0.421509, -0.387105, 0.665529, 0.060735, -0.162575, -0.150829, 0.000000, 0.000000]]
fourier: [[27.969613, 28.431953, 30.845948, 31.015048, 49.834524], [16.514597, 17.079492, 20.346725, 22.439417, 109.283808], [19.675006, 20.238580, 21.582524, 21.595978, 94.230948], [22.173899, 23.481194, 24.489553, 24.626420, 25.153822], [26.742489, 26.768976, 26.963078, 30.126230, 103.263035], [28.946280, 29.979455, 30.644252, 30.649271, 113.580837], [21.036638, 22.367903, 23.931312, 25.943617, 52.911817], [18.282454, 18.539924, 18.841950, 19.910092, 164.948982]]
### 2
mean: [0.248647, 0.938786, 1.487244, 0.330165, 0.972427, 1.343325, -0.890014, 0.756966]
std: [1.519234, 1.137211, 2.028741, 0.445323, 1.147177, 2.108620, 1.559678, 2.044472]
pca: [[0.339616, 0.246736, -0.479048, -0.225125, -0.334103, 0.005001, 0.376910, 0.538427, 0.000000, 0.000000], [-0.033590, 0.838711, 0.384014, 0.074111, 0.072348, 0.299243, -0.151283, 0.157510, 0.000000, 0.000000], [0.476735, -0.078087, 0.065992, -0.523868, 0.170907, 0.538231, 0.104669, -0.397461, 0.000000, 0.000000], [-0.091674, -0.142803, 0.110455, 0.430088, 0.398294, 0.317633, 0.700256, 0.155369, 0.000000, 0.000000], [0.252640, 0.112261, 0.514673, 0.001358, -0.370957, -0.464511, 0.462666, -0.302062, 0.000000, 0.000000], [0.496339, 0.032117, 0.068698, -0.024897, 0.666653, -0.474900, -0.140966, 0.239686, 0.000000, 0.000000], [-0.334306, 0.420657, -0.464774, -0.183027, 0.309565, -0.263002, 0.275269, -0.470106, 0.000000, 0.000000], [0.475303, 0.136413, -0.347662, 0.671038, -0.132011, 0.096823, -0.155031, -0.365351, 0.000000, 0.000000]]
fourier: [[21.182949, 22.378225, 25.103369, 27.468165, 35.125787], [16.303779, 17.527728, 18.370825, 19.778588, 84.490764], [31.420296, 33.916861, 35.335291, 41.419401, 133.851952], [6.224756, 7.028659, 8.903137, 10.336254, 29.714839], [18.744323, 19.608965, 21.254517, 22.236959, 87.518421], [31.684879, 35.662601, 37.138585, 44.845342, 120.899253], [23.703926, 24.975112, 25.043249, 26.343455, 80.101277], [29.401569, 34.523961, 36.315757, 45.066563, 68.126906]]
### 4
mean: [-0.405518, 3.488765, 3.673084, 3.783535, -0.520925, -1.132166, 0.209834, 2.880969]
std: [1.032026, 4.337553, 4.438412, 3.796156, 1.389969, 2.159715, 0.665077, 3.792195]
pca: [[-0.095056, -0.381242, -0.237175, 0.748024, 0.024682, -0.134435, 0.114063, -0.445123, 0.000000, 0.000000], [0.508758, 0.061217, -0.271271, -0.261909, 0.203483, -0.352303, -0.468074, -0.458930, 0.000000, 0.000000], [0.520022, 0.148062, 0.029709, -0.091105, 0.054641, 0.267373, 0.731999, -0.296942, 0.000000, 0.000000], [0.442816, -0.236634, -0.567764, 0.152746, -0.086801, 0.284867, -0.098639, 0.551196, 0.000000, 0.000000], [-0.081541, 0.731317, -0.146944, 0.386308, 0.431325, 0.274578, -0.161036, 0.018256, 0.000000, 0.000000], [-0.247434, -0.281998, -0.119105, -0.274124, 0.089047, 0.748925, -0.232278, -0.383604, 0.000000, 0.000000], [-0.029165, -0.374112, 0.112791, -0.095392, 0.867822, -0.109880, 0.146620, 0.225124, 0.000000, 0.000000], [0.443730, -0.136680, 0.705989, 0.326733, -0.019474, 0.238362, -0.347794, 0.033012, 0.000000, 0.000000]]
fourier: [[15.096657, 15.473230, 20.583511, 21.326321, 36.496621], [72.023085, 75.898240, 76.732534, 92.739555, 313.988867], [73.353399, 76.811175, 79.528126, 95.821102, 330.577533], [62.908007, 65.545238, 65.692389, 78.948664, 340.518133], [19.039872, 19.832534, 20.490040, 24.267067, 46.883240], [33.700251, 36.693760, 40.261511, 46.435463, 101.894952], [9.649026, 10.199956, 10.679012, 12.340350, 18.885099], [63.230782, 65.220343, 66.608544, 81.218232, 259.287245]]
### 6
mean: [7.795139, -2.708139, -2.330902, -2.748153, -2.363179, 7.687341, 7.584423, -2.377972]
std: [9.347041, 4.428882, 2.597217, 4.475548, 3.874359, 9.535986, 9.320328, 3.730790]
pca: [[0.507886, 0.022992, -0.030418, -0.290499, 0.441187, 0.466347, -0.493398, 0.025349, 0.000000, 0.000000], [-0.239393, -0.333055, -0.448286, 0.264099, -0.357311, 0.630427, -0.120938, -0.146024, 0.000000, 0.000000], [-0.135109, 0.567170, 0.225172, 0.678580, 0.090569, 0.165673, -0.278801, 0.188441, 0.000000, 0.000000], [-0.240824, -0.456754, 0.679556, -0.076696, -0.215320, -0.005107, -0.458342, 0.096097, 0.000000, 0.000000], [-0.209444, -0.290895, 0.301614, 0.175280, 0.614487, 0.328247, 0.503352, -0.105433, 0.000000, 0.000000], [0.517765, -0.280709, 0.067781, 0.505233, -0.017855, -0.270615, -0.082243, -0.559421, 0.000000, 0.000000], [0.506173, -0.229363, 0.087980, 0.206316, -0.247162, 0.125518, 0.316081, 0.681267, 0.000000, 0.000000], [-0.200834, -0.377113, -0.426978, 0.225742, 0.429088, -0.401093, -0.306743, 0.380917, 0.000000, 0.000000]]
fourier: [[153.700016, 164.061581, 165.531440, 199.326471, 701.562513], [69.469436, 78.428888, 79.560135, 93.307828, 243.732530], [41.163610, 42.293494, 47.200320, 52.636319, 209.781197], [68.559657, 79.167370, 82.657972, 95.029671, 247.333747], [60.860309, 67.986771, 70.713169, 82.564255, 212.686123], [159.824235, 165.942588, 167.503400, 203.399175, 691.860661], [155.661256, 162.476067, 163.893591, 198.784779, 682.598050], [56.673050, 66.309346, 67.664786, 78.693905, 214.017472]]
### 8
mean: [-14.239223]
std: [19.335423]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[312.103169, 340.356207, 341.007677, 417.369455, 1281.529980]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.277628, -0.546133, -0.238721, 0.480159, 0.407859], [-0.280041, -0.143086, -0.143612, -0.115253, -0.230302], [-0.51115, -0.163411, -0.053943, -0.040911, 0.071139], [-0.603042, -0.109752, 0.058264, -0.078256, 0.512668], [0.748189, 0.143004, -0.079191, 0.22426, -0.341987], [-0.715585, 0.321153, 0.764525, -0.000837, 0.229501], [-0.681764, 0.151265, 0.441752, -0.136373, 0.217257], [-0.021036, 0.069682, -0.490238, -0.327514, -0.013984]], "network.0.bias": [-0.247084, 0.226148, -0.000466, 0.390054, 0.061995, -0.310963, 0.26241, -0.189931], "network.2.weight": [[0.886384, -0.474781, -0.199461, 0.185769, -0.413809, 0.223948, 0.26227, 0.34067], [0.934965, -0.058185, 0.473603, 0.189984, 0.55566, -0.290983, 0.310644, -0.276043], [0.62354, -0.45402, -0.762814, 0.374194, -0.345921, 0.427546, 0.752767, -0.109237], [-0.389107, 0.288924, -0.343951, 0.050705, 0.083419, -0.063707, -0.097624, -0.278333], [0.362268, -0.45414, 0.229523, 0.472106, 0.100928, 0.256722, 0.497616, 0.173392], [0.716957, -0.612906, -0.403343, 0.508976, -0.312131, 0.336453, 0.873095, -0.018565], [0.221947, 0.095053, 0.677617, -0.560951, 0.18484, -0.468695, -0.48826, -0.511399], [0.780286, -0.046306, -0.471056, 0.591335, -0.486641, 0.363, 0.434248, 0.124587]], "network.2.bias": [-0.181675, 0.075322, 0.236407, 0.479116, -0.227449, 0.021616, 0.13291, -0.061577], "network.4.weight": [[-0.600077, -0.457132, 0.030846, 0.629984, -0.261379, 0.009588, -0.161206, 0.166256], [0.233941, 0.499776, 0.737894, 0.09031, 0.410113, 0.689564, 0.264818, 0.54212], [0.480192, 0.524147, 0.695632, 0.00775, 0.165929, 0.725293, 0.346973, 0.603885], [-0.366412, 0.208666, 0.721744, 0.414552, 0.174166, 0.89044, 0.181774, 0.614996], [0.119531, 0.747632, -0.602811, 0.262193, -0.369752, -0.055977, 0.03171, 0.403789], [-0.493903, -0.341179, -0.208655, -0.045688, -0.118342, -0.046932, -0.346607, -0.567908], [-0.091407, -0.353895, 0.266116, 0.358285, -0.055438, 0.124063, -0.377453, -0.413102], [0.565472, 0.009777, 0.534129, -0.172149, -0.006518, 0.632512, 0.152341, 0.603938]], "network.4.bias": [0.193266, -0.318682, -0.11769, 0.373152, -0.388233, 0.645872, 0.413075, 0.117935], "network.6.weight": [[0.127052, 0.846242, 0.798001, 0.477497, 0.391181, -0.552607, -0.318775, 0.065503], [0.211731, -0.427754, -0.185049, -0.195112, -0.767842, 0.55306, 0.564492, -0.24258], [0.062603, -0.145678, -0.044814, -0.346851, 0.69525, -0.582375, -0.279511, -0.095388], [-0.042065, -0.687413, -0.635754, 0.336709, -0.640663, 0.403957, 0.344574, 0.033109], [0.070209, -0.38429, -0.446431, 0.188292, -0.437201, 0.549315, 0.421959, -0.226535], [-0.068348, 0.465408, 0.854916, 0.472477, 0.191678, -0.517897, 0.371124, 0.490809], [-0.039148, 0.768334, 0.622101, 0.394776, 0.161997, -0.663465, 0.174913, 0.433457], [0.20969, -0.566382, -0.141478, -0.037802, -0.607993, 0.875383, 0.5698, -0.094564]], "network.6.bias": [0.053346, 0.832168, -0.137301, 0.618384, 0.475591, -0.279974, -0.061334, 0.407553], "network.8.weight": [[-0.602459, 0.653545, -0.125994, 0.972109, 0.399601, -0.793044, -0.594709, 0.409671]], "network.8.bias": [0.385879]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6675197780132294, "train_acc": 0.57, "val_loss": 0.6265164017677307, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5954785645008087, "train_acc": 0.575, "val_loss": 0.550640881061554, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5739182829856873, "train_acc": 0.56, "val_loss": 0.542091965675354, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4818425327539444, "train_acc": 0.79, "val_loss": 0.4022293984889984, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.39094485342502594, "train_acc": 0.84, "val_loss": 0.34196168184280396, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.28564947843551636, "train_acc": 0.87, "val_loss": 0.2815565764904022, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.23604698479175568, "train_acc": 0.9, "val_loss": 0.14698635041713715, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.12918195128440857, "train_acc": 0.96, "val_loss": 0.04617898166179657, "val_acc": 1.0}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.050802554935216904, "train_acc": 0.985, "val_loss": 0.014852669090032578, "val_acc": 1.0}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.016394346952438354, "train_acc": 0.995, "val_loss": 0.000952886650338769, "val_acc": 1.0}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.05773784383200109, "train_acc": 0.985, "val_loss": 0.00025266094598919153, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.0005858787189936265, "train_acc": 1.0, "val_loss": 0.2139480710029602, "val_acc": 0.96}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6265164017677307, "final_val_loss": 0.550640881061554, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.542091965675354, "final_val_loss": 0.2139480710029602, "initial_val_acc": 0.7, "final_val_acc": 0.96, "best_val_acc": 1.0, "best_epoch": 7}, "improvement": 0.48, "first_improvement_epoch": 1}}
|
9,740
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.38, "improved_accuracy": 0.94, "improvement": 0.5599999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9102, "learning_rate": 0.09943258329124674, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.521211,
0.824531,
0.45137,
0.675802,
-0.211706
],
[
1.399026,
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0.695774,
0.183551,
0.318229
],
[
-2.082923,
-0.401843,
-0.125664,
-0.022096,
-0.287282
],
[
-1.808559,
-0.156286,
0.028357,
-0.10857,
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],
[
-1.823577,
-0.035787,
-0.101591,
-0.681356,
0.313919
]
],
"network.0.bias": [
-0.318278,
-0.008904,
0.115046,
1.687947,
0.909366
],
"network.2.weight": [
[
0.210034,
0.09542,
1.483862,
-1.46505,
-1.083534
],
[
0.930952,
0.570278,
1.369706,
-0.862513,
-0.46097
],
[
0.330208,
0.157951,
1.43964,
-0.676425,
-0.394507
],
[
0.063157,
-0.240806,
-1.437772,
-0.018476,
-0.086342
],
[
-0.661447,
-0.119784,
-1.957712,
1.096088,
0.68391
]
],
"network.2.bias": [
-0.229583,
-0.528428,
-0.597359,
-0.382735,
0.96523
],
"network.4.weight": [
[
0.835499,
0.809088,
0.616956,
1.021966,
0.072572
],
[
-0.129237,
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0.224405,
-0.889442,
-0.639609
],
[
-0.934502,
-0.543406,
-0.186006,
0.069008,
0.455104
],
[
0.07999,
-0.293615,
-0.535044,
-0.647051,
-0.795049
],
[
-0.235445,
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0.590376
]
],
"network.4.bias": [
-0.016208,
0.013634,
1.184682,
0.002203,
0.570536
],
"network.6.weight": [
[
-0.233683,
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-0.45954,
0.56165,
0.00954
],
[
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0.196231,
0.220966,
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],
[
0.774753,
1.436927,
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1.376433,
0.414379
],
[
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],
[
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1.251545
]
],
"network.6.bias": [
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],
"network.8.weight": [
[
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-0.621787,
-0.08396,
0.422866
]
],
"network.8.bias": [
0.834212
]
}
## Activation Signature
### 0
mean: [5.208243, 5.240209, -3.873477, -1.078365, -2.711362]
std: [4.523757, 4.345779, 4.738027, 3.776759, 3.901992]
pca: [[-0.469081, 0.667597, -0.214249, 0.536955, -0.007426, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.454161, 0.292350, 0.645491, -0.505310, -0.190453, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.501345, 0.477493, -0.254783, -0.265937, -0.620498, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.395977, 0.489784, 0.112252, -0.208004, 0.739898, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.406888, 0.030965, 0.678177, 0.585110, -0.176654, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[66.285905, 79.203244, 84.718673, 85.138656, 468.741909], [70.098744, 71.096181, 74.848177, 84.747774, 471.618806], [81.598191, 81.739871, 82.714526, 95.809402, 348.612966], [63.297910, 66.183944, 66.209131, 77.492843, 97.052830], [62.042686, 66.371157, 69.412400, 76.384407, 244.022542]]
### 2
mean: [0.125133, 6.583780, 1.361886, -1.274020, -2.165582]
std: [2.448110, 7.133377, 2.605014, 0.804089, 4.224334]
pca: [[0.261647, 0.767427, -0.440897, 0.371792, -0.099882, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.789664, -0.459852, 0.017853, 0.403733, -0.040606, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.288538, 0.119257, -0.103800, -0.335134, 0.882856, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.080796, 0.284580, 0.787717, 0.473517, 0.260326, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.467108, -0.323085, -0.417155, 0.601862, 0.375726, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.712413, 40.124017, 40.851361, 44.130235, 46.575917], [113.913600, 116.173812, 125.090928, 134.329940, 592.540206], [40.167674, 43.160472, 46.448846, 47.478373, 122.569749], [13.414612, 13.824889, 14.182170, 14.992608, 114.661769], [64.942779, 67.539678, 75.989020, 76.448450, 194.902320]]
### 4
mean: [7.388877, -2.578462, -3.552960, -3.282030, -4.011023]
std: [8.131359, 1.935531, 5.776248, 2.749895, 5.576965]
pca: [[0.685948, -0.189167, 0.265454, 0.087488, 0.644648, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.156465, 0.455488, 0.399893, 0.779264, 0.029722, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.486706, -0.259179, -0.495833, 0.285050, 0.607322, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.221568, 0.677188, 0.121730, -0.520131, 0.454940, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.467995, -0.480615, 0.713409, -0.182495, 0.087944, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[127.976268, 130.915644, 132.723714, 134.062696, 664.998928], [31.895559, 33.460106, 34.988917, 35.014452, 232.061535], [89.943729, 93.970771, 98.913599, 99.923805, 319.766352], [43.464349, 46.970673, 49.290312, 49.996688, 295.382692], [87.972312, 91.527637, 96.216252, 102.231960, 360.992079]]
### 6
mean: [-2.313029, -2.631969, 5.457153, -1.409593, 1.158139]
std: [1.706365, 3.023273, 6.280995, 1.115459, 1.822881]
pca: [[-0.230079, -0.183471, 0.563396, 0.112790, 0.763718, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.414986, 0.094119, 0.111082, 0.843309, -0.308899, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.862996, 0.124321, 0.324490, 0.366708, -0.003681, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.147780, 0.158876, 0.748433, -0.373404, -0.503327, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.090825, 0.957488, -0.069283, -0.046938, 0.260701, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.793778, 28.332287, 29.551293, 30.448416, 208.172622], [48.350426, 49.104637, 49.127123, 50.605184, 236.877244], [96.674801, 99.594815, 102.487763, 106.138087, 491.143739], [18.180347, 18.234618, 21.251262, 21.576945, 126.863355], [26.252753, 28.488049, 30.848423, 36.344478, 104.232482]]
### 8
mean: [-1.952092]
std: [4.316813]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[67.551489, 70.367017, 72.388213, 72.410300, 175.688302]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.521211,
0.824531,
0.45137,
0.675802,
-0.211706
],
[
1.399026,
0.696189,
0.695774,
0.183551,
0.318229
],
[
-2.082923,
-0.401843,
-0.125664,
-0.022096,
-0.287282
],
[
-1.808559,
-0.156286,
0.028357,
-0.10857,
-0.046448
],
[
-1.823577,
-0.035787,
-0.101591,
-0.681356,
0.313919
]
],
"network.0.bias": [
-0.318278,
-0.008904,
0.115046,
1.687947,
0.909366
],
"network.2.weight": [
[
0.210034,
0.09542,
1.483862,
-1.46505,
-1.083534
],
[
0.930952,
0.570278,
1.369706,
-0.862513,
-0.46097
],
[
0.330208,
0.157951,
1.43964,
-0.676425,
-0.394507
],
[
0.063157,
-0.240806,
-1.437772,
-0.018476,
-0.086342
],
[
-0.661447,
-0.119784,
-1.957712,
1.096088,
0.68391
]
],
"network.2.bias": [
-0.229583,
-0.528428,
-0.597359,
-0.382735,
0.96523
],
"network.4.weight": [
[
0.835499,
0.809088,
0.616956,
1.021966,
0.072572
],
[
-0.129237,
-0.368652,
0.224405,
-0.889442,
-0.639609
],
[
-0.934502,
-0.543406,
-0.186006,
0.069008,
0.455104
],
[
0.07999,
-0.293615,
-0.535044,
-0.647051,
-0.795049
],
[
-0.235445,
-0.63368,
-0.227357,
-0.040134,
0.590376
]
],
"network.4.bias": [
-0.016208,
0.013634,
1.184682,
0.002203,
0.570536
],
"network.6.weight": [
[
-0.233683,
-0.217464,
-0.45954,
0.56165,
0.00954
],
[
-0.363702,
-0.230867,
0.196231,
0.220966,
-0.102434
],
[
0.774753,
1.436927,
-0.003628,
1.376433,
0.414379
],
[
-0.120949,
-0.052265,
-0.39038,
0.054329,
0.723362
],
[
0.031933,
-0.60996,
0.820052,
-0.483519,
1.251545
]
],
"network.6.bias": [
-0.32383,
-0.018535,
-0.257518,
-0.623675,
-0.155271
],
"network.8.weight": [
[
-1.121969,
-1.397243,
-0.621787,
-0.08396,
0.422866
]
],
"network.8.bias": [
0.834212
]
}
## Activation Signature
### 0
mean: [5.208243, 5.240209, -3.873477, -1.078365, -2.711362]
std: [4.523757, 4.345779, 4.738027, 3.776759, 3.901992]
pca: [[-0.469081, 0.667597, -0.214249, 0.536955, -0.007426, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.454161, 0.292350, 0.645491, -0.505310, -0.190453, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.501345, 0.477493, -0.254783, -0.265937, -0.620498, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.395977, 0.489784, 0.112252, -0.208004, 0.739898, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.406888, 0.030965, 0.678177, 0.585110, -0.176654, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[66.285905, 79.203244, 84.718673, 85.138656, 468.741909], [70.098744, 71.096181, 74.848177, 84.747774, 471.618806], [81.598191, 81.739871, 82.714526, 95.809402, 348.612966], [63.297910, 66.183944, 66.209131, 77.492843, 97.052830], [62.042686, 66.371157, 69.412400, 76.384407, 244.022542]]
### 2
mean: [0.125133, 6.583780, 1.361886, -1.274020, -2.165582]
std: [2.448110, 7.133377, 2.605014, 0.804089, 4.224334]
pca: [[0.261647, 0.767427, -0.440897, 0.371792, -0.099882, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.789664, -0.459852, 0.017853, 0.403733, -0.040606, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.288538, 0.119257, -0.103800, -0.335134, 0.882856, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.080796, 0.284580, 0.787717, 0.473517, 0.260326, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.467108, -0.323085, -0.417155, 0.601862, 0.375726, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.712413, 40.124017, 40.851361, 44.130235, 46.575917], [113.913600, 116.173812, 125.090928, 134.329940, 592.540206], [40.167674, 43.160472, 46.448846, 47.478373, 122.569749], [13.414612, 13.824889, 14.182170, 14.992608, 114.661769], [64.942779, 67.539678, 75.989020, 76.448450, 194.902320]]
### 4
mean: [7.388877, -2.578462, -3.552960, -3.282030, -4.011023]
std: [8.131359, 1.935531, 5.776248, 2.749895, 5.576965]
pca: [[0.685948, -0.189167, 0.265454, 0.087488, 0.644648, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.156465, 0.455488, 0.399893, 0.779264, 0.029722, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.486706, -0.259179, -0.495833, 0.285050, 0.607322, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.221568, 0.677188, 0.121730, -0.520131, 0.454940, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.467995, -0.480615, 0.713409, -0.182495, 0.087944, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[127.976268, 130.915644, 132.723714, 134.062696, 664.998928], [31.895559, 33.460106, 34.988917, 35.014452, 232.061535], [89.943729, 93.970771, 98.913599, 99.923805, 319.766352], [43.464349, 46.970673, 49.290312, 49.996688, 295.382692], [87.972312, 91.527637, 96.216252, 102.231960, 360.992079]]
### 6
mean: [-2.313029, -2.631969, 5.457153, -1.409593, 1.158139]
std: [1.706365, 3.023273, 6.280995, 1.115459, 1.822881]
pca: [[-0.230079, -0.183471, 0.563396, 0.112790, 0.763718, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.414986, 0.094119, 0.111082, 0.843309, -0.308899, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.862996, 0.124321, 0.324490, 0.366708, -0.003681, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.147780, 0.158876, 0.748433, -0.373404, -0.503327, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.090825, 0.957488, -0.069283, -0.046938, 0.260701, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.793778, 28.332287, 29.551293, 30.448416, 208.172622], [48.350426, 49.104637, 49.127123, 50.605184, 236.877244], [96.674801, 99.594815, 102.487763, 106.138087, 491.143739], [18.180347, 18.234618, 21.251262, 21.576945, 126.863355], [26.252753, 28.488049, 30.848423, 36.344478, 104.232482]]
### 8
mean: [-1.952092]
std: [4.316813]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[67.551489, 70.367017, 72.388213, 72.410300, 175.688302]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 5.208243370056152, "std": 4.523756504058838, "pca": [-0.4690805971622467, 0.6675965189933777, -0.21424859762191772, 0.5369550585746765, -0.00742565281689167, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [66.28590483185775, 79.20324431183658, 84.71867288394573, 85.13865579752184, 468.7419092953205]}, "1": {"mean": 5.240208625793457, "std": 4.345778942108154, "pca": [-0.4541606307029724, 0.2923503816127777, 0.6454914212226868, -0.5053097605705261, -0.19045276939868927, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [70.09874368952606, 71.09618102413177, 74.84817663205394, 84.74777430344537, 471.6188055984676]}, "2": {"mean": -3.8734772205352783, "std": 4.7380266189575195, "pca": [0.5013445019721985, 0.4774928390979767, -0.254783034324646, -0.2659367620944977, -0.6204978227615356, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [81.59819147948274, 81.739871401027, 82.71452628882231, 95.80940182908377, 348.61296585947275]}, "3": {"mean": -1.0783647298812866, "std": 3.776758909225464, "pca": [0.39597660303115845, 0.48978352546691895, 0.11225199699401855, -0.208003968000412, 0.739897608757019, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [63.2979095686869, 66.18394354853629, 66.2091311415329, 77.49284250896318, 97.05282986164093]}, "4": {"mean": -2.7113616466522217, "std": 3.901991844177246, "pca": [0.40688785910606384, 0.030965160578489304, 0.6781765818595886, 0.5851096510887146, -0.17665398120880127, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [62.04268608354764, 66.37115735759652, 69.41239980598527, 76.38440693464337, 244.02254211902618]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": 0.12513282895088196, "std": 2.4481096267700195, "pca": [0.2616473138332367, 0.7674272656440735, -0.4408973455429077, 0.37179189920425415, -0.09988189488649368, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [39.71241272904069, 40.12401709534311, 40.85136070198578, 44.13023462612733, 46.575917084349356]}, "1": {"mean": 6.583780288696289, "std": 7.1333770751953125, "pca": [0.7896636724472046, -0.45985156297683716, 0.017852675169706345, 0.4037328064441681, -0.040606457740068436, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [113.91359984306682, 116.17381216985231, 125.09092845085944, 134.3299396134871, 592.5402055382729]}, "2": {"mean": 1.3618861436843872, "std": 2.6050143241882324, "pca": [0.2885376811027527, 0.11925709247589111, -0.1037997379899025, -0.33513352274894714, 0.8828561305999756, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [40.16767447858758, 43.16047178363403, 46.44884627690034, 47.47837346713685, 122.56974917650223]}, "3": {"mean": -1.2740195989608765, "std": 0.8040889501571655, "pca": [-0.08079566806554794, 0.2845802903175354, 0.7877172827720642, 0.4735165536403656, 0.2603261172771454, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [13.414611820419301, 13.82488872069057, 14.182169626061656, 14.99260764279948, 114.66176924109459]}, "4": {"mean": -2.165581703186035, "std": 4.224334239959717, "pca": [-0.4671081304550171, -0.3230847418308258, -0.41715455055236816, 0.6018622517585754, 0.3757261633872986, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [64.9427785971901, 67.53967790542912, 75.98902004600302, 76.44845038358636, 194.90232026576996]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "4": {"neuron_profiles": {"0": {"mean": 7.388876914978027, "std": 8.131359100341797, "pca": [0.6859477758407593, -0.1891665905714035, 0.26545390486717224, 0.08748805522918701, 0.6446484923362732, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [127.97626783101666, 130.9156438110391, 132.72371431196916, 134.0626958308175, 664.9989284491166]}, "1": {"mean": -2.5784616470336914, "std": 1.9355311393737793, "pca": [-0.15646500885486603, 0.4554876685142517, 0.3998929262161255, 0.7792636752128601, 0.02972234971821308, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [31.895558501630433, 33.46010558497187, 34.98891679121109, 35.01445213306475, 232.06153479218483]}, "2": {"mean": -3.55295991897583, "std": 5.776248455047607, "pca": [-0.4867061376571655, -0.25917869806289673, -0.49583256244659424, 0.28505000472068787, 0.607322096824646, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [89.94372889829845, 93.9707712111384, 98.91359937709713, 99.92380521176509, 319.7663523554802]}, "3": {"mean": -3.282029628753662, "std": 2.7498953342437744, "pca": [-0.2215675413608551, 0.6771875619888306, 0.12172996252775192, -0.5201307535171509, 0.4549402594566345, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [43.464349048589504, 46.97067295426017, 49.29031218294572, 49.996688488708884, 295.3826924562454]}, "4": {"mean": -4.011023044586182, "std": 5.57696533203125, "pca": [-0.46799495816230774, -0.480614572763443, 0.7134085297584534, -0.18249504268169403, 0.08794397860765457, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [87.9723119288413, 91.52763743400946, 96.2162522587389, 102.23195992156727, 360.99207907915115]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "6": {"neuron_profiles": {"0": {"mean": -2.3130290508270264, "std": 1.7063651084899902, "pca": [-0.2300788313150406, -0.18347106873989105, 0.5633963942527771, 0.11279009282588959, 0.7637178897857666, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [26.79377813120781, 28.33228662300892, 29.551293194211667, 30.44841642224101, 208.17262184619904]}, "1": {"mean": -2.631969451904297, "std": 3.023272752761841, "pca": [-0.4149862825870514, 0.09411924332380295, 0.11108248680830002, 0.8433089256286621, -0.3088991045951843, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [48.350426105375206, 49.10463659786074, 49.127123485462384, 50.605184222620224, 236.87724397704005]}, "2": {"mean": 5.457152843475342, "std": 6.2809953689575195, "pca": [0.862995982170105, 0.12432058900594711, 0.32449018955230713, 0.3667081892490387, -0.0036810743622481823, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [96.67480086967755, 99.59481502623233, 102.48776271986425, 106.13808706208142, 491.1437394171953]}, "3": {"mean": -1.409592866897583, "std": 1.115458607673645, "pca": [-0.14777958393096924, 0.1588764637708664, 0.7484325170516968, -0.37340378761291504, -0.5033267736434937, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [18.18034664870643, 18.234617912308693, 21.25126249079662, 21.57694466636757, 126.86335504055023]}, "4": {"mean": 1.1581387519836426, "std": 1.8228814601898193, "pca": [-0.09082528948783875, 0.9574876427650452, -0.06928254663944244, -0.04693761095404625, 0.26070091128349304, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [26.2527533579273, 28.488049019448606, 30.848423319425166, 36.34447769804394, 104.23248166590929]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -1.9520922899246216, "std": 4.316812992095947, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [67.55148934696481, 70.36701718273038, 72.3882126679059, 72.41030030677045, 175.68830174207687]}}, "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": [[1.521211, 0.824531, 0.45137, 0.675802, -0.211706], [1.399026, 0.696189, 0.695774, 0.183551, 0.318229], [-2.082923, -0.401843, -0.125664, -0.022096, -0.287282], [-1.808559, -0.156286, 0.028357, -0.10857, -0.046448], [-1.823577, -0.035787, -0.101591, -0.681356, 0.313919]], "network.0.bias": [-0.318278, -0.008904, 0.115046, 1.687947, 0.909366], "network.2.weight": [[0.210034, 0.09542, 1.483862, -1.46505, -1.083534], [0.930952, 0.570278, 1.369706, -0.862513, -0.46097], [0.330208, 0.157951, 1.43964, -0.676425, -0.394507], [0.063157, -0.240806, -1.437772, -0.018476, -0.086342], [-0.661447, -0.119784, -1.957712, 1.096088, 0.68391]], "network.2.bias": [-0.229583, -0.528428, -0.597359, -0.382735, 0.96523], "network.4.weight": [[0.835499, 0.809088, 0.616956, 1.021966, 0.072572], [-0.129237, -0.368652, 0.224405, -0.889442, -0.639609], [-0.934502, -0.543406, -0.186006, 0.069008, 0.455104], [0.07999, -0.293615, -0.535044, -0.647051, -0.795049], [-0.235445, -0.63368, -0.227357, -0.040134, 0.590376]], "network.4.bias": [-0.016208, 0.013634, 1.184682, 0.002203, 0.570536], "network.6.weight": [[-0.233683, -0.217464, -0.45954, 0.56165, 0.00954], [-0.363702, -0.230867, 0.196231, 0.220966, -0.102434], [0.774753, 1.436927, -0.003628, 1.376433, 0.414379], [-0.120949, -0.052265, -0.39038, 0.054329, 0.723362], [0.031933, -0.60996, 0.820052, -0.483519, 1.251545]], "network.6.bias": [-0.32383, -0.018535, -0.257518, -0.623675, -0.155271], "network.8.weight": [[-1.121969, -1.397243, -0.621787, -0.08396, 0.422866]], "network.8.bias": [0.834212]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7080040574073792, "train_acc": 0.47, "val_loss": 0.7408078908920288, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6764568388462067, "train_acc": 0.595, "val_loss": 0.7483078837394714, "val_acc": 0.38}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6036070883274078, "train_acc": 0.595, "val_loss": 0.6647070050239563, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6069156229496002, "train_acc": 0.535, "val_loss": 0.5318642258644104, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5027498602867126, "train_acc": 0.8, "val_loss": 0.48024582862854004, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.47216013073921204, "train_acc": 0.795, "val_loss": 0.4749137759208679, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4430161565542221, "train_acc": 0.8, "val_loss": 0.4925432503223419, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3952948898077011, "train_acc": 0.805, "val_loss": 0.3630827069282532, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.340069904923439, "train_acc": 0.865, "val_loss": 0.347290962934494, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.30725957453250885, "train_acc": 0.885, "val_loss": 0.39096614718437195, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.28937606513500214, "train_acc": 0.86, "val_loss": 0.2998906075954437, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.24743125587701797, "train_acc": 0.925, "val_loss": 0.25282418727874756, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.265177957713604, "train_acc": 0.925, "val_loss": 0.297794371843338, "val_acc": 0.88}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7408078908920288, "final_val_loss": 0.6647070050239563, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.5318642258644104, "final_val_loss": 0.297794371843338, "initial_val_acc": 0.76, "final_val_acc": 0.88, "best_val_acc": 0.94, "best_epoch": 10}, "improvement": 0.5599999999999999, "first_improvement_epoch": 2}}
|
9,741
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.72, "improved_accuracy": 0.88, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4232, "learning_rate": 0.02882283988463022, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.645142,
0.068154,
0.305281,
0.185786,
-0.103752
],
[
0.073646,
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-0.788551,
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[
0.971095,
0.286364,
0.282921,
-0.397294,
0.358518
],
[
-1.054705,
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0.152223,
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0.265012
],
[
0.952113,
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[
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0.564333,
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],
[
-0.06019,
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]
],
"network.0.bias": [
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"network.2.weight": [
[
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[
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[
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[
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[
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[
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[
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"network.2.bias": [
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"network.4.weight": [
[
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[
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[
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[
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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: [2.314609, -1.830758, 1.947205, 1.165737, 1.502610, 0.970158, 0.076487]
std: [1.651803, 1.945055, 2.723009, 2.154723, 2.418860, 1.681175, 1.061473]
pca: [[0.331344, 0.175840, -0.289402, 0.068880, 0.832180, -0.225739, 0.165262, 0.000000, 0.000000, 0.000000], [0.188879, -0.242359, 0.792176, 0.255788, 0.200482, -0.311242, -0.274868, 0.000000, 0.000000, 0.000000], [0.624589, 0.276546, -0.046821, -0.479264, -0.338923, -0.368524, -0.225491, 0.000000, 0.000000, 0.000000], [-0.372729, 0.623719, 0.010900, 0.379530, -0.171460, -0.542169, 0.067381, 0.000000, 0.000000, 0.000000], [0.554421, 0.118321, -0.098713, 0.696121, -0.262028, 0.332182, 0.072699, 0.000000, 0.000000, 0.000000], [-0.051287, 0.645560, 0.328282, -0.174432, 0.221080, 0.556510, -0.289563, 0.000000, 0.000000, 0.000000], [0.124439, 0.118708, 0.410950, -0.202683, -0.074034, 0.048625, 0.867535, 0.000000, 0.000000, 0.000000]]
fourier: [[28.389316, 29.203121, 30.375279, 31.986573, 208.314812], [27.067586, 27.274897, 29.966364, 35.868051, 164.768235], [47.862326, 48.169518, 48.260876, 54.349779, 175.248437], [32.299279, 33.811548, 37.070126, 49.854900, 104.916324], [38.368427, 39.263015, 40.810988, 46.686367, 135.234857], [26.507500, 27.468700, 27.633540, 34.126036, 87.314264], [15.769559, 15.961145, 16.111238, 16.388314, 21.236674]]
### 2
mean: [-1.431234, 3.461038, 0.363048, 0.743754, -0.512285, -0.015232, 0.626325]
std: [0.945654, 3.160543, 1.856783, 1.090541, 1.302475, 0.493528, 1.452192]
pca: [[-0.009651, -0.558362, 0.471400, 0.015802, 0.658485, -0.109776, 0.141486, 0.000000, 0.000000, 0.000000], [0.763007, 0.370478, 0.445864, 0.035352, 0.063255, 0.269973, -0.060289, 0.000000, 0.000000, 0.000000], [0.440969, -0.311765, -0.210028, 0.017004, -0.302416, -0.242938, 0.716570, 0.000000, 0.000000, 0.000000], [0.259354, -0.054787, -0.170094, 0.635171, 0.058721, -0.566661, -0.415699, 0.000000, 0.000000, 0.000000], [-0.289668, -0.063762, 0.684413, 0.289410, -0.586469, -0.111472, 0.058950, 0.000000, 0.000000, 0.000000], [-0.067683, -0.181601, -0.186811, 0.661437, 0.046041, 0.683639, 0.143394, 0.000000, 0.000000, 0.000000], [-0.259847, 0.643222, 0.051218, 0.271131, 0.348464, -0.234845, 0.515782, 0.000000, 0.000000, 0.000000]]
fourier: [[14.142318, 14.409616, 14.457681, 21.976969, 128.811103], [54.884110, 55.254111, 59.400549, 59.788948, 311.493455], [31.692273, 32.674366, 34.527050, 36.718992, 40.691293], [17.375567, 21.175957, 21.996649, 23.733156, 66.937857], [20.668681, 21.291154, 25.364658, 28.744308, 46.105690], [7.407286, 7.533452, 8.500850, 8.517417, 9.285194], [22.000292, 23.296296, 26.856192, 28.363706, 56.369247]]
### 4
mean: [0.712849, 2.532167, -0.615367, -1.678217, 2.548034, 1.395681, -1.258181]
std: [0.935683, 2.454267, 0.331392, 1.433089, 2.821846, 2.116662, 0.876204]
pca: [[-0.077083, 0.859569, 0.117836, 0.256801, 0.322913, 0.066479, 0.258213, 0.000000, 0.000000, 0.000000], [0.532786, -0.069024, -0.110357, 0.527400, -0.028178, 0.613941, -0.208157, 0.000000, 0.000000, 0.000000], [-0.058436, -0.133554, 0.399809, 0.690190, -0.099908, -0.549374, -0.175344, 0.000000, 0.000000, 0.000000], [-0.301187, -0.340864, 0.540707, 0.086613, 0.039661, 0.434304, 0.550491, 0.000000, 0.000000, 0.000000], [0.613002, -0.063355, -0.123927, 0.002269, -0.124990, -0.334867, 0.690720, 0.000000, 0.000000, 0.000000], [0.458673, -0.059318, 0.548778, -0.335962, 0.550685, -0.077194, -0.250717, 0.000000, 0.000000, 0.000000], [-0.172966, -0.338849, -0.453001, 0.243234, 0.751333, -0.100653, 0.127509, 0.000000, 0.000000, 0.000000]]
fourier: [[14.123863, 14.726393, 16.414714, 16.463589, 64.156403], [43.265674, 44.051818, 48.711822, 50.559674, 227.895020], [5.000015, 5.002408, 6.046478, 6.159830, 55.383035], [24.408090, 25.478100, 25.643291, 26.905097, 151.039515], [49.208943, 50.479580, 55.922968, 58.642731, 229.323095], [37.051510, 38.361687, 42.776924, 43.658827, 125.611295], [14.983308, 15.281238, 15.715858, 16.356973, 113.236265]]
### 6
mean: [-0.778000, 4.648026, 3.775103, -0.614430, 4.529600, -1.057776, -1.246031]
std: [0.458322, 4.921123, 3.686059, 0.269843, 4.572032, 2.144212, 2.257398]
pca: [[-0.054961, -0.081479, 0.461666, 0.648603, 0.545731, 0.136210, 0.200359, 0.000000, 0.000000, 0.000000], [0.595366, 0.208601, 0.640147, -0.365367, -0.017473, 0.201522, -0.133517, 0.000000, 0.000000, 0.000000], [0.446115, 0.020230, -0.395747, -0.131960, 0.222749, 0.186149, 0.736393, 0.000000, 0.000000, 0.000000], [-0.020570, -0.324874, -0.220167, -0.381129, 0.697705, 0.185545, -0.423181, 0.000000, 0.000000, 0.000000], [0.552804, 0.315600, -0.373840, 0.456763, 0.091223, -0.223633, -0.433684, 0.000000, 0.000000, 0.000000], [-0.254670, 0.641194, 0.080018, -0.266340, 0.395835, -0.519057, 0.143417, 0.000000, 0.000000, 0.000000], [-0.269493, 0.577201, -0.160710, 0.059832, -0.021356, 0.743186, -0.109647, 0.000000, 0.000000, 0.000000]]
fourier: [[8.148257, 8.187946, 8.983807, 9.110060, 70.019977], [85.664601, 88.009646, 97.544598, 102.220133, 418.322329], [64.439939, 66.183226, 73.267960, 76.955121, 339.759256], [3.867060, 4.592064, 4.794137, 5.132182, 55.298733], [79.776416, 81.817106, 90.427175, 94.428005, 407.664007], [38.384706, 38.562394, 42.583844, 46.464826, 95.199837], [40.178722, 40.602258, 44.950527, 48.761878, 112.142755]]
### 8
mean: [-7.001520]
std: [7.574992]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[133.925230, 137.940181, 150.448083, 159.087308, 630.136766]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.645142,
0.068154,
0.305281,
0.185786,
-0.103752
],
[
0.073646,
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0.281458,
-0.788551,
-0.34955
],
[
0.971095,
0.286364,
0.282921,
-0.397294,
0.358518
],
[
-1.054705,
0.710051,
0.152223,
0.134784,
0.265012
],
[
0.952113,
0.464607,
0.047497,
-0.32233,
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],
[
-0.644642,
0.572422,
0.564333,
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0.330373
],
[
-0.06019,
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-0.460345,
0.103314
]
],
"network.0.bias": [
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0.231301,
-0.289116,
0.192952
],
"network.2.weight": [
[
-0.039362,
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-0.604145,
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[
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0.113958,
0.319101,
0.029301,
0.721416,
-0.216198,
0.295733
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[
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0.411325,
0.167851,
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0.341081,
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0.19175
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[
0.408462,
0.332574,
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0.12873,
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],
[
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0.304102,
0.240342,
0.070921,
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],
[
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],
[
0.202295,
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0.527466,
0.149845
]
],
"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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],
[
0.276924,
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0.48663,
0.511836,
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0.08281,
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[
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],
[
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]
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"network.4.bias": [
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"network.6.weight": [
[
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],
[
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0.491004,
0.856934,
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],
[
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[
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],
[
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0.312006,
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[
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[
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]
],
"network.6.bias": [
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],
"network.8.weight": [
[
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-0.688454,
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]
],
"network.8.bias": [
-0.001724
]
}
## Activation Signature
### 0
mean: [2.314609, -1.830758, 1.947205, 1.165737, 1.502610, 0.970158, 0.076487]
std: [1.651803, 1.945055, 2.723009, 2.154723, 2.418860, 1.681175, 1.061473]
pca: [[0.331344, 0.175840, -0.289402, 0.068880, 0.832180, -0.225739, 0.165262, 0.000000, 0.000000, 0.000000], [0.188879, -0.242359, 0.792176, 0.255788, 0.200482, -0.311242, -0.274868, 0.000000, 0.000000, 0.000000], [0.624589, 0.276546, -0.046821, -0.479264, -0.338923, -0.368524, -0.225491, 0.000000, 0.000000, 0.000000], [-0.372729, 0.623719, 0.010900, 0.379530, -0.171460, -0.542169, 0.067381, 0.000000, 0.000000, 0.000000], [0.554421, 0.118321, -0.098713, 0.696121, -0.262028, 0.332182, 0.072699, 0.000000, 0.000000, 0.000000], [-0.051287, 0.645560, 0.328282, -0.174432, 0.221080, 0.556510, -0.289563, 0.000000, 0.000000, 0.000000], [0.124439, 0.118708, 0.410950, -0.202683, -0.074034, 0.048625, 0.867535, 0.000000, 0.000000, 0.000000]]
fourier: [[28.389316, 29.203121, 30.375279, 31.986573, 208.314812], [27.067586, 27.274897, 29.966364, 35.868051, 164.768235], [47.862326, 48.169518, 48.260876, 54.349779, 175.248437], [32.299279, 33.811548, 37.070126, 49.854900, 104.916324], [38.368427, 39.263015, 40.810988, 46.686367, 135.234857], [26.507500, 27.468700, 27.633540, 34.126036, 87.314264], [15.769559, 15.961145, 16.111238, 16.388314, 21.236674]]
### 2
mean: [-1.431234, 3.461038, 0.363048, 0.743754, -0.512285, -0.015232, 0.626325]
std: [0.945654, 3.160543, 1.856783, 1.090541, 1.302475, 0.493528, 1.452192]
pca: [[-0.009651, -0.558362, 0.471400, 0.015802, 0.658485, -0.109776, 0.141486, 0.000000, 0.000000, 0.000000], [0.763007, 0.370478, 0.445864, 0.035352, 0.063255, 0.269973, -0.060289, 0.000000, 0.000000, 0.000000], [0.440969, -0.311765, -0.210028, 0.017004, -0.302416, -0.242938, 0.716570, 0.000000, 0.000000, 0.000000], [0.259354, -0.054787, -0.170094, 0.635171, 0.058721, -0.566661, -0.415699, 0.000000, 0.000000, 0.000000], [-0.289668, -0.063762, 0.684413, 0.289410, -0.586469, -0.111472, 0.058950, 0.000000, 0.000000, 0.000000], [-0.067683, -0.181601, -0.186811, 0.661437, 0.046041, 0.683639, 0.143394, 0.000000, 0.000000, 0.000000], [-0.259847, 0.643222, 0.051218, 0.271131, 0.348464, -0.234845, 0.515782, 0.000000, 0.000000, 0.000000]]
fourier: [[14.142318, 14.409616, 14.457681, 21.976969, 128.811103], [54.884110, 55.254111, 59.400549, 59.788948, 311.493455], [31.692273, 32.674366, 34.527050, 36.718992, 40.691293], [17.375567, 21.175957, 21.996649, 23.733156, 66.937857], [20.668681, 21.291154, 25.364658, 28.744308, 46.105690], [7.407286, 7.533452, 8.500850, 8.517417, 9.285194], [22.000292, 23.296296, 26.856192, 28.363706, 56.369247]]
### 4
mean: [0.712849, 2.532167, -0.615367, -1.678217, 2.548034, 1.395681, -1.258181]
std: [0.935683, 2.454267, 0.331392, 1.433089, 2.821846, 2.116662, 0.876204]
pca: [[-0.077083, 0.859569, 0.117836, 0.256801, 0.322913, 0.066479, 0.258213, 0.000000, 0.000000, 0.000000], [0.532786, -0.069024, -0.110357, 0.527400, -0.028178, 0.613941, -0.208157, 0.000000, 0.000000, 0.000000], [-0.058436, -0.133554, 0.399809, 0.690190, -0.099908, -0.549374, -0.175344, 0.000000, 0.000000, 0.000000], [-0.301187, -0.340864, 0.540707, 0.086613, 0.039661, 0.434304, 0.550491, 0.000000, 0.000000, 0.000000], [0.613002, -0.063355, -0.123927, 0.002269, -0.124990, -0.334867, 0.690720, 0.000000, 0.000000, 0.000000], [0.458673, -0.059318, 0.548778, -0.335962, 0.550685, -0.077194, -0.250717, 0.000000, 0.000000, 0.000000], [-0.172966, -0.338849, -0.453001, 0.243234, 0.751333, -0.100653, 0.127509, 0.000000, 0.000000, 0.000000]]
fourier: [[14.123863, 14.726393, 16.414714, 16.463589, 64.156403], [43.265674, 44.051818, 48.711822, 50.559674, 227.895020], [5.000015, 5.002408, 6.046478, 6.159830, 55.383035], [24.408090, 25.478100, 25.643291, 26.905097, 151.039515], [49.208943, 50.479580, 55.922968, 58.642731, 229.323095], [37.051510, 38.361687, 42.776924, 43.658827, 125.611295], [14.983308, 15.281238, 15.715858, 16.356973, 113.236265]]
### 6
mean: [-0.778000, 4.648026, 3.775103, -0.614430, 4.529600, -1.057776, -1.246031]
std: [0.458322, 4.921123, 3.686059, 0.269843, 4.572032, 2.144212, 2.257398]
pca: [[-0.054961, -0.081479, 0.461666, 0.648603, 0.545731, 0.136210, 0.200359, 0.000000, 0.000000, 0.000000], [0.595366, 0.208601, 0.640147, -0.365367, -0.017473, 0.201522, -0.133517, 0.000000, 0.000000, 0.000000], [0.446115, 0.020230, -0.395747, -0.131960, 0.222749, 0.186149, 0.736393, 0.000000, 0.000000, 0.000000], [-0.020570, -0.324874, -0.220167, -0.381129, 0.697705, 0.185545, -0.423181, 0.000000, 0.000000, 0.000000], [0.552804, 0.315600, -0.373840, 0.456763, 0.091223, -0.223633, -0.433684, 0.000000, 0.000000, 0.000000], [-0.254670, 0.641194, 0.080018, -0.266340, 0.395835, -0.519057, 0.143417, 0.000000, 0.000000, 0.000000], [-0.269493, 0.577201, -0.160710, 0.059832, -0.021356, 0.743186, -0.109647, 0.000000, 0.000000, 0.000000]]
fourier: [[8.148257, 8.187946, 8.983807, 9.110060, 70.019977], [85.664601, 88.009646, 97.544598, 102.220133, 418.322329], [64.439939, 66.183226, 73.267960, 76.955121, 339.759256], [3.867060, 4.592064, 4.794137, 5.132182, 55.298733], [79.776416, 81.817106, 90.427175, 94.428005, 407.664007], [38.384706, 38.562394, 42.583844, 46.464826, 95.199837], [40.178722, 40.602258, 44.950527, 48.761878, 112.142755]]
### 8
mean: [-7.001520]
std: [7.574992]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[133.925230, 137.940181, 150.448083, 159.087308, 630.136766]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7135263681411743, "train_acc": 0.455, "val_loss": 0.7096258401870728, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6863837838172913, "train_acc": 0.485, "val_loss": 0.6573684811592102, "val_acc": 0.72}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6580891311168671, "train_acc": 0.685, "val_loss": 0.6842619180679321, "val_acc": 0.5}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6162609457969666, "train_acc": 0.665, "val_loss": 0.6186486482620239, "val_acc": 0.62}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5434457659721375, "train_acc": 0.76, "val_loss": 0.5084214210510254, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5011786073446274, "train_acc": 0.72, "val_loss": 0.4692746102809906, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.46357402205467224, "train_acc": 0.745, "val_loss": 0.44347718358039856, "val_acc": 0.72}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4626578390598297, "train_acc": 0.745, "val_loss": 0.3964899480342865, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.42297832667827606, "train_acc": 0.79, "val_loss": 0.40460848808288574, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.41066040098667145, "train_acc": 0.79, "val_loss": 0.35847774147987366, "val_acc": 0.78}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.40335336327552795, "train_acc": 0.82, "val_loss": 0.3295973241329193, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.4014262557029724, "train_acc": 0.835, "val_loss": 0.293814092874527, "val_acc": 0.88}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7096258401870728, "final_val_loss": 0.6573684811592102, "initial_val_acc": 0.38, "final_val_acc": 0.72, "best_val_acc": 0.72}, "improved_stage": {"initial_val_loss": 0.6842619180679321, "final_val_loss": 0.293814092874527, "initial_val_acc": 0.5, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 11}, "improvement": 0.16000000000000003, "first_improvement_epoch": 1}}
|
9,742
|
{"target_pattern": "sorted_ascending", "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": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6038, "learning_rate": 0.07774941425439644, "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.271575,
-0.313689,
-0.350536,
-0.135206,
0.049942
],
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## Activation Signature
### 0
mean: [-1.500206, -2.474092, 3.580426, -0.617355, -1.051026, -1.689182, -2.858746]
std: [1.363276, 1.514224, 3.017231, 1.576467, 1.995280, 1.367343, 1.774172]
pca: [[-0.278403, 0.233364, 0.336817, -0.058725, -0.417020, -0.394660, 0.649213, 0.000000, 0.000000, 0.000000], [-0.312276, 0.207899, 0.346685, 0.094910, 0.808505, -0.274978, -0.027742, 0.000000, 0.000000, 0.000000], [0.641342, -0.075276, 0.680669, 0.272405, -0.098759, -0.107759, -0.155355, 0.000000, 0.000000, 0.000000], [-0.290775, -0.457542, 0.479086, -0.293292, 0.044748, 0.602535, 0.159718, 0.000000, 0.000000, 0.000000], [-0.392491, -0.579942, 0.061162, 0.079001, -0.225495, -0.507222, -0.437623, 0.000000, 0.000000, 0.000000], [-0.253970, -0.053836, -0.057295, 0.905129, -0.063263, 0.286204, 0.155388, 0.000000, 0.000000, 0.000000], [-0.332500, 0.589980, 0.257889, -0.042664, -0.325281, 0.234058, -0.558972, 0.000000, 0.000000, 0.000000]]
fourier: [[22.067492, 22.093931, 24.745642, 25.251217, 135.018533], [24.291177, 26.290956, 26.896526, 29.268601, 222.668252], [47.415416, 48.216071, 53.589545, 57.190238, 322.238321], [23.182990, 25.234898, 27.964912, 33.371892, 55.561914], [30.168028, 32.749458, 33.095315, 39.677113, 94.592293], [21.078402, 24.301845, 24.795323, 26.257684, 152.026397], [27.003524, 27.355552, 33.883050, 34.841803, 257.287180]]
### 2
mean: [-1.531097, -1.702314, 1.770443, -1.062467, 2.625862, 2.618730, 2.693695]
std: [1.096059, 0.947445, 1.340451, 0.715990, 2.026849, 2.284341, 2.096126]
pca: [[-0.256510, 0.336183, 0.541397, -0.361676, -0.214952, -0.178882, 0.564854, 0.000000, 0.000000, 0.000000], [-0.214014, 0.737504, 0.041391, 0.472714, 0.029199, -0.257398, -0.343523, 0.000000, 0.000000, 0.000000], [0.313863, 0.421572, -0.338875, -0.388046, -0.578676, 0.316878, -0.151900, 0.000000, 0.000000, 0.000000], [-0.167222, 0.262319, 0.151936, -0.356645, 0.617458, 0.580165, -0.187347, 0.000000, 0.000000, 0.000000], [0.477585, -0.112589, 0.741852, 0.075047, -0.157952, 0.074288, -0.415683, 0.000000, 0.000000, 0.000000], [0.538432, 0.183095, -0.129651, -0.370616, 0.431573, -0.579773, 0.003126, 0.000000, 0.000000, 0.000000], [0.493894, 0.224353, -0.010103, 0.474308, 0.160057, 0.350840, 0.576157, 0.000000, 0.000000, 0.000000]]
fourier: [[17.190858, 18.181891, 19.740550, 20.144383, 137.798758], [15.307503, 15.798991, 17.215729, 18.411554, 153.208236], [21.610862, 21.952897, 23.093023, 25.002621, 159.339894], [11.205065, 11.886149, 13.036279, 13.251502, 95.622075], [31.412670, 32.633396, 35.928938, 38.614729, 236.327591], [36.111438, 36.333792, 39.368050, 42.987749, 235.685661], [32.879691, 33.627555, 35.652447, 39.548123, 242.432534]]
### 4
mean: [-2.797330, 4.972789, -0.303194, 5.563341, 7.245801, -1.612269, -1.764971]
std: [2.023973, 4.040859, 0.206882, 4.482265, 5.665277, 0.875851, 1.158784]
pca: [[-0.234084, 0.008065, -0.264251, 0.756435, 0.008508, 0.523024, 0.171729, 0.000000, 0.000000, 0.000000], [0.467355, 0.192361, -0.369688, -0.193069, 0.697413, 0.290125, -0.008582, 0.000000, 0.000000, 0.000000], [-0.023018, 0.650932, -0.488835, -0.112738, -0.463413, 0.011772, -0.330452, 0.000000, 0.000000, 0.000000], [0.518396, 0.409299, 0.232796, 0.211921, -0.201149, -0.166631, 0.629611, 0.000000, 0.000000, 0.000000], [0.655229, -0.340599, 0.126095, 0.171859, -0.349210, 0.271146, -0.462346, 0.000000, 0.000000, 0.000000], [-0.101292, -0.052468, 0.115695, -0.542549, -0.288962, 0.689224, 0.347438, 0.000000, 0.000000, 0.000000], [-0.133922, 0.502925, 0.686341, 0.094950, 0.229964, 0.256551, -0.361041, 0.000000, 0.000000, 0.000000]]
fourier: [[31.924549, 32.490826, 35.113663, 37.750065, 251.759681], [63.987268, 64.579656, 69.826519, 75.150458, 447.550996], [3.197994, 3.335923, 3.913062, 4.182935, 27.287436], [71.094766, 71.813178, 77.534665, 83.063470, 500.700630], [88.806096, 90.720537, 98.377721, 105.676229, 652.122111], [13.819871, 13.976635, 15.143467, 16.202076, 145.104165], [18.015839, 18.324750, 20.127212, 22.058488, 158.847367]]
### 6
mean: [11.756022, 10.521795, -2.141595, 10.841467, 12.755033, 9.488968, 11.026278]
std: [9.368727, 8.103305, 1.661681, 8.462075, 10.088241, 7.531376, 8.553108]
pca: [[0.437079, -0.012506, 0.857805, 0.007017, -0.199552, -0.169451, -0.066280, 0.000000, 0.000000, 0.000000], [0.378042, 0.664500, -0.265012, 0.403354, 0.040921, -0.355804, -0.233083, 0.000000, 0.000000, 0.000000], [-0.077521, -0.376148, 0.048093, 0.897554, -0.071368, 0.198194, -0.014620, 0.000000, 0.000000, 0.000000], [0.394780, -0.561649, -0.303611, -0.157614, -0.048908, -0.186819, -0.611869, 0.000000, 0.000000, 0.000000], [0.470646, -0.254339, -0.259421, 0.012809, -0.088407, -0.270035, 0.752068, 0.000000, 0.000000, 0.000000], [0.351361, -0.026067, 0.092041, 0.007451, 0.864473, 0.345272, 0.028517, 0.000000, 0.000000, 0.000000], [0.399028, 0.189682, -0.153871, -0.081188, -0.442595, 0.760510, -0.016220, 0.000000, 0.000000, 0.000000]]
fourier: [[147.746879, 150.039366, 162.338466, 174.169107, 1058.041992], [127.529206, 129.771340, 140.510399, 150.807973, 946.961604], [26.073708, 26.627880, 28.867606, 30.977991, 192.743532], [133.658819, 135.479444, 146.516549, 157.215459, 975.732048], [159.200223, 161.535943, 174.744686, 187.500252, 1147.952851], [118.779439, 120.603520, 130.490003, 140.015594, 854.007081], [134.799854, 136.934949, 148.205637, 159.092505, 992.364947]]
### 8
mean: [-3.033393, 17.486397, -10.755509, 23.437424, 24.172962, -25.051882, -7.899700]
std: [2.005980, 13.622458, 7.974370, 18.654236, 19.123251, 19.611130, 5.985712]
pca: [[0.053857, 0.060429, -0.229361, -0.486418, 0.780216, -0.274757, 0.141459, 0.000000, 0.000000, 0.000000], [-0.365740, -0.480406, -0.098393, -0.158783, 0.062349, 0.608143, 0.476263, 0.000000, 0.000000, 0.000000], [0.214098, -0.131007, 0.140676, 0.752151, 0.379062, -0.135340, 0.435285, 0.000000, 0.000000, 0.000000], [-0.500834, 0.731911, 0.195364, 0.009596, -0.038233, -0.011313, 0.416680, 0.000000, 0.000000, 0.000000], [-0.513426, -0.443491, 0.494122, -0.070667, -0.001576, -0.532641, -0.082765, 0.000000, 0.000000, 0.000000], [0.526525, 0.015467, 0.688340, -0.379613, -0.080334, 0.124050, 0.287701, 0.000000, 0.000000, 0.000000], [0.160706, -0.125612, -0.402227, -0.152522, -0.485561, -0.486961, 0.548129, 0.000000, 0.000000, 0.000000]]
fourier: [[31.687396, 32.116534, 34.731745, 37.266671, 273.005373], [214.785352, 218.151108, 236.053957, 253.284259, 1573.775894], [125.675685, 127.678671, 138.185772, 148.322126, 967.995872], [294.161948, 298.710690, 323.215287, 346.831453, 2109.367996], [301.674378, 306.204021, 331.283843, 355.493005, 2175.566750], [309.376832, 314.018745, 339.735459, 364.556605, 2254.669371], [94.381259, 95.840087, 103.708464, 111.302844, 710.972938]]
### 10
mean: [-16.886852, -3.130651, -12.690237, 25.421825, -9.917844, -10.164358, -19.306437]
std: [13.215697, 2.303085, 10.028885, 20.032183, 7.840852, 7.835153, 15.235834]
pca: [[-0.410428, 0.426649, 0.131494, -0.445013, -0.427276, -0.306844, 0.396829, 0.000000, 0.000000, 0.000000], [-0.071525, 0.179170, 0.898260, 0.370566, 0.070892, 0.115261, 0.016756, 0.000000, 0.000000, 0.000000], [-0.311458, -0.446080, 0.221842, -0.444314, 0.634647, -0.206492, 0.109369, 0.000000, 0.000000, 0.000000], [0.622122, 0.109123, 0.011470, -0.047170, 0.227803, 0.031173, 0.738806, 0.000000, 0.000000, 0.000000], [-0.243507, 0.348777, -0.109398, -0.255577, 0.248379, 0.824209, 0.027552, 0.000000, 0.000000, 0.000000], [-0.243330, 0.531747, -0.289187, 0.410331, 0.521720, -0.365663, 0.011609, 0.000000, 0.000000, 0.000000], [-0.473166, -0.413005, -0.175770, 0.480951, -0.154451, 0.189526, 0.532500, 0.000000, 0.000000, 0.000000]]
fourier: [[208.404795, 211.626456, 228.984581, 245.709563, 1519.816680], [36.340979, 36.877333, 39.894249, 42.807633, 281.758653], [158.138896, 160.594673, 173.771608, 186.467111, 1142.121291], [315.912461, 320.775661, 347.082169, 372.437947, 2287.964606], [123.664880, 125.551734, 135.844463, 145.772257, 892.605955], [123.594903, 125.457053, 135.735406, 145.656636, 914.792254], [240.230307, 243.981639, 264.003606, 283.282723, 1737.579432]]
### 12
mean: [-5.353428]
std: [4.496980]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[70.918485, 72.010216, 77.915704, 83.607768, 481.808510]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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## Activation Signature
### 0
mean: [-1.500206, -2.474092, 3.580426, -0.617355, -1.051026, -1.689182, -2.858746]
std: [1.363276, 1.514224, 3.017231, 1.576467, 1.995280, 1.367343, 1.774172]
pca: [[-0.278403, 0.233364, 0.336817, -0.058725, -0.417020, -0.394660, 0.649213, 0.000000, 0.000000, 0.000000], [-0.312276, 0.207899, 0.346685, 0.094910, 0.808505, -0.274978, -0.027742, 0.000000, 0.000000, 0.000000], [0.641342, -0.075276, 0.680669, 0.272405, -0.098759, -0.107759, -0.155355, 0.000000, 0.000000, 0.000000], [-0.290775, -0.457542, 0.479086, -0.293292, 0.044748, 0.602535, 0.159718, 0.000000, 0.000000, 0.000000], [-0.392491, -0.579942, 0.061162, 0.079001, -0.225495, -0.507222, -0.437623, 0.000000, 0.000000, 0.000000], [-0.253970, -0.053836, -0.057295, 0.905129, -0.063263, 0.286204, 0.155388, 0.000000, 0.000000, 0.000000], [-0.332500, 0.589980, 0.257889, -0.042664, -0.325281, 0.234058, -0.558972, 0.000000, 0.000000, 0.000000]]
fourier: [[22.067492, 22.093931, 24.745642, 25.251217, 135.018533], [24.291177, 26.290956, 26.896526, 29.268601, 222.668252], [47.415416, 48.216071, 53.589545, 57.190238, 322.238321], [23.182990, 25.234898, 27.964912, 33.371892, 55.561914], [30.168028, 32.749458, 33.095315, 39.677113, 94.592293], [21.078402, 24.301845, 24.795323, 26.257684, 152.026397], [27.003524, 27.355552, 33.883050, 34.841803, 257.287180]]
### 2
mean: [-1.531097, -1.702314, 1.770443, -1.062467, 2.625862, 2.618730, 2.693695]
std: [1.096059, 0.947445, 1.340451, 0.715990, 2.026849, 2.284341, 2.096126]
pca: [[-0.256510, 0.336183, 0.541397, -0.361676, -0.214952, -0.178882, 0.564854, 0.000000, 0.000000, 0.000000], [-0.214014, 0.737504, 0.041391, 0.472714, 0.029199, -0.257398, -0.343523, 0.000000, 0.000000, 0.000000], [0.313863, 0.421572, -0.338875, -0.388046, -0.578676, 0.316878, -0.151900, 0.000000, 0.000000, 0.000000], [-0.167222, 0.262319, 0.151936, -0.356645, 0.617458, 0.580165, -0.187347, 0.000000, 0.000000, 0.000000], [0.477585, -0.112589, 0.741852, 0.075047, -0.157952, 0.074288, -0.415683, 0.000000, 0.000000, 0.000000], [0.538432, 0.183095, -0.129651, -0.370616, 0.431573, -0.579773, 0.003126, 0.000000, 0.000000, 0.000000], [0.493894, 0.224353, -0.010103, 0.474308, 0.160057, 0.350840, 0.576157, 0.000000, 0.000000, 0.000000]]
fourier: [[17.190858, 18.181891, 19.740550, 20.144383, 137.798758], [15.307503, 15.798991, 17.215729, 18.411554, 153.208236], [21.610862, 21.952897, 23.093023, 25.002621, 159.339894], [11.205065, 11.886149, 13.036279, 13.251502, 95.622075], [31.412670, 32.633396, 35.928938, 38.614729, 236.327591], [36.111438, 36.333792, 39.368050, 42.987749, 235.685661], [32.879691, 33.627555, 35.652447, 39.548123, 242.432534]]
### 4
mean: [-2.797330, 4.972789, -0.303194, 5.563341, 7.245801, -1.612269, -1.764971]
std: [2.023973, 4.040859, 0.206882, 4.482265, 5.665277, 0.875851, 1.158784]
pca: [[-0.234084, 0.008065, -0.264251, 0.756435, 0.008508, 0.523024, 0.171729, 0.000000, 0.000000, 0.000000], [0.467355, 0.192361, -0.369688, -0.193069, 0.697413, 0.290125, -0.008582, 0.000000, 0.000000, 0.000000], [-0.023018, 0.650932, -0.488835, -0.112738, -0.463413, 0.011772, -0.330452, 0.000000, 0.000000, 0.000000], [0.518396, 0.409299, 0.232796, 0.211921, -0.201149, -0.166631, 0.629611, 0.000000, 0.000000, 0.000000], [0.655229, -0.340599, 0.126095, 0.171859, -0.349210, 0.271146, -0.462346, 0.000000, 0.000000, 0.000000], [-0.101292, -0.052468, 0.115695, -0.542549, -0.288962, 0.689224, 0.347438, 0.000000, 0.000000, 0.000000], [-0.133922, 0.502925, 0.686341, 0.094950, 0.229964, 0.256551, -0.361041, 0.000000, 0.000000, 0.000000]]
fourier: [[31.924549, 32.490826, 35.113663, 37.750065, 251.759681], [63.987268, 64.579656, 69.826519, 75.150458, 447.550996], [3.197994, 3.335923, 3.913062, 4.182935, 27.287436], [71.094766, 71.813178, 77.534665, 83.063470, 500.700630], [88.806096, 90.720537, 98.377721, 105.676229, 652.122111], [13.819871, 13.976635, 15.143467, 16.202076, 145.104165], [18.015839, 18.324750, 20.127212, 22.058488, 158.847367]]
### 6
mean: [11.756022, 10.521795, -2.141595, 10.841467, 12.755033, 9.488968, 11.026278]
std: [9.368727, 8.103305, 1.661681, 8.462075, 10.088241, 7.531376, 8.553108]
pca: [[0.437079, -0.012506, 0.857805, 0.007017, -0.199552, -0.169451, -0.066280, 0.000000, 0.000000, 0.000000], [0.378042, 0.664500, -0.265012, 0.403354, 0.040921, -0.355804, -0.233083, 0.000000, 0.000000, 0.000000], [-0.077521, -0.376148, 0.048093, 0.897554, -0.071368, 0.198194, -0.014620, 0.000000, 0.000000, 0.000000], [0.394780, -0.561649, -0.303611, -0.157614, -0.048908, -0.186819, -0.611869, 0.000000, 0.000000, 0.000000], [0.470646, -0.254339, -0.259421, 0.012809, -0.088407, -0.270035, 0.752068, 0.000000, 0.000000, 0.000000], [0.351361, -0.026067, 0.092041, 0.007451, 0.864473, 0.345272, 0.028517, 0.000000, 0.000000, 0.000000], [0.399028, 0.189682, -0.153871, -0.081188, -0.442595, 0.760510, -0.016220, 0.000000, 0.000000, 0.000000]]
fourier: [[147.746879, 150.039366, 162.338466, 174.169107, 1058.041992], [127.529206, 129.771340, 140.510399, 150.807973, 946.961604], [26.073708, 26.627880, 28.867606, 30.977991, 192.743532], [133.658819, 135.479444, 146.516549, 157.215459, 975.732048], [159.200223, 161.535943, 174.744686, 187.500252, 1147.952851], [118.779439, 120.603520, 130.490003, 140.015594, 854.007081], [134.799854, 136.934949, 148.205637, 159.092505, 992.364947]]
### 8
mean: [-3.033393, 17.486397, -10.755509, 23.437424, 24.172962, -25.051882, -7.899700]
std: [2.005980, 13.622458, 7.974370, 18.654236, 19.123251, 19.611130, 5.985712]
pca: [[0.053857, 0.060429, -0.229361, -0.486418, 0.780216, -0.274757, 0.141459, 0.000000, 0.000000, 0.000000], [-0.365740, -0.480406, -0.098393, -0.158783, 0.062349, 0.608143, 0.476263, 0.000000, 0.000000, 0.000000], [0.214098, -0.131007, 0.140676, 0.752151, 0.379062, -0.135340, 0.435285, 0.000000, 0.000000, 0.000000], [-0.500834, 0.731911, 0.195364, 0.009596, -0.038233, -0.011313, 0.416680, 0.000000, 0.000000, 0.000000], [-0.513426, -0.443491, 0.494122, -0.070667, -0.001576, -0.532641, -0.082765, 0.000000, 0.000000, 0.000000], [0.526525, 0.015467, 0.688340, -0.379613, -0.080334, 0.124050, 0.287701, 0.000000, 0.000000, 0.000000], [0.160706, -0.125612, -0.402227, -0.152522, -0.485561, -0.486961, 0.548129, 0.000000, 0.000000, 0.000000]]
fourier: [[31.687396, 32.116534, 34.731745, 37.266671, 273.005373], [214.785352, 218.151108, 236.053957, 253.284259, 1573.775894], [125.675685, 127.678671, 138.185772, 148.322126, 967.995872], [294.161948, 298.710690, 323.215287, 346.831453, 2109.367996], [301.674378, 306.204021, 331.283843, 355.493005, 2175.566750], [309.376832, 314.018745, 339.735459, 364.556605, 2254.669371], [94.381259, 95.840087, 103.708464, 111.302844, 710.972938]]
### 10
mean: [-16.886852, -3.130651, -12.690237, 25.421825, -9.917844, -10.164358, -19.306437]
std: [13.215697, 2.303085, 10.028885, 20.032183, 7.840852, 7.835153, 15.235834]
pca: [[-0.410428, 0.426649, 0.131494, -0.445013, -0.427276, -0.306844, 0.396829, 0.000000, 0.000000, 0.000000], [-0.071525, 0.179170, 0.898260, 0.370566, 0.070892, 0.115261, 0.016756, 0.000000, 0.000000, 0.000000], [-0.311458, -0.446080, 0.221842, -0.444314, 0.634647, -0.206492, 0.109369, 0.000000, 0.000000, 0.000000], [0.622122, 0.109123, 0.011470, -0.047170, 0.227803, 0.031173, 0.738806, 0.000000, 0.000000, 0.000000], [-0.243507, 0.348777, -0.109398, -0.255577, 0.248379, 0.824209, 0.027552, 0.000000, 0.000000, 0.000000], [-0.243330, 0.531747, -0.289187, 0.410331, 0.521720, -0.365663, 0.011609, 0.000000, 0.000000, 0.000000], [-0.473166, -0.413005, -0.175770, 0.480951, -0.154451, 0.189526, 0.532500, 0.000000, 0.000000, 0.000000]]
fourier: [[208.404795, 211.626456, 228.984581, 245.709563, 1519.816680], [36.340979, 36.877333, 39.894249, 42.807633, 281.758653], [158.138896, 160.594673, 173.771608, 186.467111, 1142.121291], [315.912461, 320.775661, 347.082169, 372.437947, 2287.964606], [123.664880, 125.551734, 135.844463, 145.772257, 892.605955], [123.594903, 125.457053, 135.735406, 145.656636, 914.792254], [240.230307, 243.981639, 264.003606, 283.282723, 1737.579432]]
### 12
mean: [-5.353428]
std: [4.496980]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[70.918485, 72.010216, 77.915704, 83.607768, 481.808510]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.271575, -0.313689, -0.350536, -0.135206, 0.049942], [-0.456233, -0.196742, -0.318004, -0.220899, 0.041187], [0.916923, 0.953836, 0.011474, 0.168855, -0.214214], [-0.548658, -0.138878, -0.310848, 0.133501, 0.373], [-0.754787, -0.373034, -0.122862, 0.256328, 0.243663], [-0.45415, -0.269538, -0.025492, 0.105008, -0.286194], [-0.239704, -0.442228, -0.394251, -0.326341, -0.04825]], "network.0.bias": [0.369941, -0.460643, 0.579395, 0.221495, -0.025536, -0.451821, -0.171734], "network.2.weight": [[-0.16216, -0.178817, -0.372394, -0.367439, 0.302588, -0.000343, -0.010415], [0.322642, -0.119051, -0.324374, -0.55595, 0.205866, 0.092853, 0.147098], [-0.106322, -0.336058, 0.412748, -0.204024, -0.214929, -0.450996, -0.240701], [-0.131841, -0.323601, -0.245727, -0.20768, 0.111548, 0.140967, 0.022184], [-0.126653, 0.056398, 0.666689, -0.12345, 0.096471, 0.154127, -0.223735], [-0.184381, 0.188641, 0.734086, -0.084222, -0.253399, -0.049147, 0.374825], [0.189171, -0.091193, 0.677608, -0.180486, -0.124347, 0.119969, -9e-06]], "network.2.bias": [-0.14251, -0.429866, 0.406944, -0.136997, 0.261346, 0.079103, 0.340365], "network.4.weight": [[-0.159291, -0.518499, -0.531284, -0.448572, -0.408071, -0.066845, -0.165872], [-0.152054, 0.182139, 0.554539, -0.042798, 0.279538, 0.491698, 0.780074], [0.295844, 0.09333, 0.126065, -0.066611, -0.387384, 0.033972, 0.163621], [0.171251, -0.310042, 0.725295, -0.027965, 0.206078, 0.813966, 0.604798], [0.150745, -0.436585, 0.59328, -0.14872, 0.692139, 0.749123, 0.854052], [0.098231, 0.021481, 0.048546, 0.131658, 0.085558, -0.29379, -0.21381], [-0.28708, -0.118415, 0.181821, 0.05101, -0.281915, 0.097968, -0.502422]], "network.4.bias": [-0.154915, -0.149071, -0.041758, -0.044859, 0.094513, -0.573492, -0.250583], "network.6.weight": [[0.152236, 0.34727, 0.030711, 0.858868, 0.726669, -0.054017, 0.337109], [0.062931, 0.196166, -0.073472, 0.508918, 0.887888, -0.053561, 0.353117], [-0.161012, 0.160619, -0.203981, -0.120788, -0.312272, 0.308252, -0.318625], [0.216542, 0.76158, -0.27115, 0.702928, 0.394597, 0.260299, 0.55597], [-0.19085, 0.655041, -0.286704, 0.849148, 0.641928, 0.185526, -0.109861], [0.32998, 0.37795, -0.08868, 0.629104, 0.562243, -0.452236, -0.081474], [0.036378, 0.648352, 0.04897, 0.447131, 0.693766, -0.551961, 0.452603]], "network.6.bias": [-0.015012, 0.281176, -0.005858, 0.283335, 0.121216, 0.035038, 0.286773], "network.8.weight": [[-0.228126, -0.028475, -0.262945, -0.411475, 0.212138, 0.249985, -0.020914], [0.734376, 0.387862, -0.160062, 0.159414, 0.187119, 0.094589, -0.040889], [-0.047998, -0.311052, 0.059665, -0.264016, 0.091826, 0.117529, -0.535659], [0.489641, 0.273279, 0.214361, 0.131353, 0.428896, 0.511221, 0.299767], [0.392209, 0.258914, -0.201958, 0.653404, 0.50162, 0.009428, 0.314515], [-0.564347, -0.126076, -0.270834, -0.58294, -0.432868, -0.108068, -0.372805], [0.121793, -0.117091, -0.356465, -0.021256, -0.293539, -0.123322, -0.24646]], "network.8.bias": [-0.43825, 0.210361, -0.436254, -0.245117, -0.201525, -0.113592, -0.237223], "network.10.weight": [[0.307113, -0.377308, 0.363031, -0.298463, -0.131162, 0.020263, 0.073591], [-0.350018, -0.135968, 0.003217, 0.215664, -0.233952, 0.295615, 0.041895], [0.108256, -0.067575, 0.099329, -0.544389, 0.05474, -0.078513, -0.015318], [-0.240023, 0.296681, 0.56525, 0.59139, 0.259304, -0.051562, 0.112134], [0.339552, 0.092407, -0.316832, -0.326317, -0.15753, -0.352384, 0.141758], [0.194253, 0.141479, 0.349657, -0.199263, -0.316125, 0.341847, 0.354363], [0.200767, -0.60216, -0.432859, -0.45139, 0.072551, -0.367365, 0.345964]], "network.10.bias": [-0.123325, -0.152367, -0.072754, 0.105149, -0.077735, -0.326418, 0.04883], "network.12.weight": [[0.299269, 0.015554, -0.14335, -0.224488, -0.002332, 0.135638, -0.046794]], "network.12.bias": [0.353462]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.731662929058075, "train_acc": 0.445, "val_loss": 0.6962653398513794, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6884127557277679, "train_acc": 0.495, "val_loss": 0.6704805493354797, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.690441370010376, "train_acc": 0.555, "val_loss": 0.5947532653808594, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6420745849609375, "train_acc": 0.485, "val_loss": 0.5081588625907898, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5108664035797119, "train_acc": 0.69, "val_loss": 0.39969107508659363, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4313288480043411, "train_acc": 0.9, "val_loss": 0.36726638674736023, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3642518222332001, "train_acc": 0.9, "val_loss": 0.32349106669425964, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3344687223434448, "train_acc": 0.89, "val_loss": 0.3563325107097626, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3370026648044586, "train_acc": 0.905, "val_loss": 0.3204830288887024, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2922385483980179, "train_acc": 0.91, "val_loss": 0.27277424931526184, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2707785665988922, "train_acc": 0.915, "val_loss": 0.31358498334884644, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.26392314583063126, "train_acc": 0.9, "val_loss": 0.28796565532684326, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.2430470958352089, "train_acc": 0.915, "val_loss": 0.26040226221084595, "val_acc": 0.88}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6962653398513794, "final_val_loss": 0.5947532653808594, "initial_val_acc": 0.44, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.5081588625907898, "final_val_loss": 0.26040226221084595, "initial_val_acc": 0.68, "final_val_acc": 0.88, "best_val_acc": 0.92, "best_epoch": 4}, "improvement": 0.36, "first_improvement_epoch": 2}}
|
9,743
|
{"target_pattern": "sorted_ascending", "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": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4779, "learning_rate": 0.031640116951589685, "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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[
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0.694661,
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0.632249,
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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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0.127875,
0.305426,
-0.463147,
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0.041965,
0.219938,
0.677924
]
],
"network.10.bias": [
0.402925
]
}
## Activation Signature
### 0
mean: [-1.927008, 1.573077, 1.235089, 1.940248, 2.313818, 3.136915, -1.787100, -0.341481]
std: [1.387321, 1.955934, 1.761682, 2.220472, 2.227880, 2.628874, 1.102396, 1.634407]
pca: [[-0.164654, -0.596743, 0.008580, 0.573541, 0.039852, 0.023352, -0.512562, 0.151362, 0.000000, 0.000000], [0.391807, -0.025868, -0.079855, 0.057942, 0.825115, -0.390804, -0.000786, -0.050407, 0.000000, 0.000000], [0.308139, -0.190266, -0.601411, -0.135631, 0.074941, 0.621126, -0.093118, -0.297782, 0.000000, 0.000000], [0.401535, 0.432112, -0.380545, 0.578057, -0.331560, -0.184448, 0.024105, 0.168970, 0.000000, 0.000000], [0.407756, 0.096562, 0.673955, 0.320797, 0.022299, 0.400736, 0.051817, -0.321735, 0.000000, 0.000000], [0.531841, -0.177413, 0.171327, -0.366077, -0.134075, 0.084878, -0.175996, 0.682751, 0.000000, 0.000000], [-0.217620, -0.048728, -0.053017, 0.278733, 0.294572, 0.394824, 0.622925, 0.488948, 0.000000, 0.000000], [-0.258298, 0.614112, 0.025726, -0.023085, 0.311131, 0.321292, -0.553473, 0.220433, 0.000000, 0.000000]]
fourier: [[21.986483, 22.212486, 26.201777, 29.783810, 173.430684], [30.310198, 33.285681, 37.650071, 38.324748, 141.576949], [25.680957, 28.785656, 34.368458, 35.990307, 111.158039], [36.611776, 36.964314, 37.481120, 37.601982, 174.622335], [35.783784, 38.067498, 38.200940, 41.713756, 208.243650], [43.058635, 43.768837, 46.773564, 52.673929, 282.322385], [17.626407, 17.926763, 19.893649, 21.020322, 160.839029], [25.187941, 25.711735, 27.956971, 30.733297, 37.469037]]
### 2
mean: [-1.352567, 4.926353, 5.268377, 4.748851, 2.783221, -1.279444, 4.446629, 4.284028]
std: [2.252199, 4.096193, 4.416636, 4.295905, 2.474455, 0.662384, 4.237512, 3.661018]
pca: [[-0.227364, -0.056285, 0.532679, -0.371024, 0.315837, 0.293454, 0.565529, 0.134316, 0.000000, 0.000000], [0.416011, 0.111719, -0.103615, -0.143723, 0.387119, 0.543360, -0.185630, -0.550910, 0.000000, 0.000000], [0.448627, 0.058509, -0.037402, 0.142261, 0.575745, -0.113634, -0.101559, 0.647274, 0.000000, 0.000000], [0.436052, -0.211072, -0.069480, 0.006194, -0.575270, 0.523149, 0.191664, 0.345088, 0.000000, 0.000000], [0.244653, 0.718010, -0.245315, -0.364299, -0.157663, -0.247651, 0.381289, -0.011992, 0.000000, 0.000000], [-0.058819, -0.255578, -0.540762, 0.397309, 0.228123, -0.007431, 0.635205, -0.159252, 0.000000, 0.000000], [0.428024, -0.573014, 0.051780, -0.447655, -0.014156, -0.486910, 0.081507, -0.203589, 0.000000, 0.000000], [0.370559, 0.164842, 0.586520, 0.574844, -0.104256, -0.183245, 0.207749, -0.271025, 0.000000, 0.000000]]
fourier: [[36.761332, 37.559420, 38.889371, 42.394068, 121.731068], [69.847021, 70.275040, 72.544071, 77.335003, 443.371748], [73.912490, 75.738168, 77.783635, 81.697559, 474.153909], [71.454146, 73.752080, 74.128497, 81.224080, 427.396630], [41.459900, 42.308712, 45.472556, 45.687938, 250.489883], [9.637428, 11.701114, 11.750185, 12.242606, 115.149969], [68.397194, 71.447210, 74.220903, 79.596778, 400.196608], [60.372625, 63.268267, 63.612076, 64.505034, 385.562465]]
### 4
mean: [9.497975, 14.759508, -2.560642, 1.180018, -3.471108, -1.397612, -3.532218, 11.889176]
std: [8.642481, 13.064099, 2.225997, 0.620402, 3.054816, 0.789909, 2.747592, 10.502021]
pca: [[0.444285, -0.032026, 0.687295, -0.020105, -0.243068, -0.483000, -0.062350, 0.180410, 0.000000, 0.000000], [0.671783, -0.205375, -0.455180, -0.037082, -0.057742, -0.060783, 0.539175, -0.015068, 0.000000, 0.000000], [-0.114196, -0.204230, 0.254287, -0.552473, -0.525999, 0.455237, 0.230691, -0.195517, 0.000000, 0.000000], [0.023056, 0.841315, 0.091207, -0.280541, 0.148707, 0.055515, 0.377020, 0.193118, 0.000000, 0.000000], [-0.156855, -0.290204, 0.165847, -0.467055, 0.637435, -0.327406, 0.215972, -0.292183, 0.000000, 0.000000], [-0.039917, 0.114649, 0.319298, 0.571979, 0.008299, 0.097842, 0.396789, -0.623753, 0.000000, 0.000000], [-0.140937, -0.328978, 0.282076, 0.253315, 0.257946, 0.338003, 0.389159, 0.629243, 0.000000, 0.000000], [0.540080, 0.041045, 0.196040, -0.069443, 0.407267, 0.567169, -0.393078, -0.146009, 0.000000, 0.000000]]
fourier: [[143.566308, 149.315057, 150.668053, 161.944283, 854.817770], [220.632391, 225.665965, 228.128367, 243.326317, 1328.355826], [38.187646, 38.211536, 39.155408, 41.210247, 230.457767], [9.377524, 9.985345, 12.244509, 12.311531, 106.201593], [51.779422, 52.471508, 53.982254, 56.255651, 312.399731], [12.816284, 13.398735, 14.176254, 14.352563, 125.785059], [46.141598, 47.876171, 48.044980, 49.876262, 317.899646], [175.784865, 181.932090, 182.859334, 195.597168, 1070.025755]]
### 6
mean: [-5.190531, 6.530434, -6.812977, 15.793669, -10.244536, 22.482231, 1.368577, -12.641854]
std: [4.634073, 6.027642, 6.136154, 14.310875, 8.911247, 20.125952, 0.570785, 11.067944]
pca: [[-0.153613, 0.577198, 0.492376, 0.160317, 0.184471, -0.385135, -0.435648, 0.054431, 0.000000, 0.000000], [0.200091, -0.018229, 0.439696, 0.284655, -0.077457, 0.725505, -0.208518, -0.330808, 0.000000, 0.000000], [-0.203656, 0.331300, -0.142198, 0.693683, 0.063463, 0.056662, 0.583131, 0.008304, 0.000000, 0.000000], [0.475092, -0.019201, 0.161074, -0.141850, 0.701343, -0.152265, 0.327940, -0.324409, 0.000000, 0.000000], [-0.295760, -0.484101, -0.165823, 0.367872, 0.577123, 0.064153, -0.378023, 0.187771, 0.000000, 0.000000], [0.668141, -0.094578, 0.098101, 0.298610, -0.121310, -0.089022, -0.031621, 0.649777, 0.000000, 0.000000], [0.017488, 0.515544, -0.315523, -0.325105, 0.330741, 0.517279, -0.068713, 0.383371, 0.000000, 0.000000], [-0.367406, -0.217482, 0.617570, -0.248521, 0.082973, 0.138927, 0.412943, 0.421724, 0.000000, 0.000000]]
fourier: [[79.453032, 79.827500, 81.387152, 86.310409, 467.147760], [100.560219, 105.047973, 106.021824, 112.788857, 587.739080], [103.469440, 106.383472, 107.831620, 114.729169, 613.167917], [239.657175, 249.528957, 251.252181, 266.597093, 1421.430118], [147.986031, 156.004424, 156.092683, 165.353406, 922.008344], [337.304854, 350.875012, 353.448272, 374.925489, 2023.400836], [8.889689, 9.936801, 10.130514, 10.176971, 123.171955], [185.564063, 193.455930, 193.891800, 204.955188, 1137.766838]]
### 8
mean: [-0.132699, -4.770341, -3.581703, 23.341053, 16.171820, -11.173323, -1.049090, -4.601397]
std: [0.126239, 3.960658, 3.048984, 21.205763, 14.880116, 9.948856, 0.576727, 4.893183]
pca: [[0.004130, -0.223921, -0.174032, -0.114511, 0.017928, 0.882394, 0.355979, -0.027945, 0.000000, 0.000000], [-0.138365, -0.073672, 0.546773, 0.328973, 0.608166, 0.259764, -0.335501, 0.135425, 0.000000, 0.000000], [-0.106497, -0.265489, 0.697062, -0.013814, -0.285531, -0.127646, 0.475550, -0.328814, 0.000000, 0.000000], [0.740846, 0.075196, -0.024144, 0.606362, -0.062450, 0.058045, 0.061017, -0.257376, 0.000000, 0.000000], [0.519849, -0.297060, 0.238601, -0.301044, -0.107986, -0.043576, -0.005219, 0.693085, 0.000000, 0.000000], [-0.347560, -0.453201, -0.151866, 0.565630, -0.466860, 0.015899, -0.166360, 0.291416, 0.000000, 0.000000], [-0.019917, -0.442754, -0.311533, 0.135261, 0.560287, -0.362913, 0.488954, 0.059331, 0.000000, 0.000000], [-0.170898, 0.615326, 0.085013, 0.286247, -0.029058, 0.019583, 0.513876, 0.487553, 0.000000, 0.000000]]
fourier: [[1.968962, 2.280443, 2.285584, 2.329450, 11.942943], [66.248698, 69.115278, 69.456159, 73.658863, 429.330674], [50.923835, 53.376907, 53.393608, 56.417165, 322.353342], [354.751394, 370.390292, 373.142213, 395.534912, 2100.695125], [249.040969, 259.515661, 261.859765, 277.946618, 1455.463651], [165.843162, 174.356177, 175.303919, 185.524922, 1005.599059], [9.048828, 10.366026, 10.609357, 10.615081, 94.418064], [82.397365, 84.592722, 85.815542, 91.569086, 414.125698]]
### 10
mean: [-14.572401]
std: [13.766811]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[230.658888, 240.498081, 242.821615, 257.198466, 1311.516083]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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],
"network.2.bias": [
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"network.6.weight": [
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"network.8.weight": [
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-1.927008, 1.573077, 1.235089, 1.940248, 2.313818, 3.136915, -1.787100, -0.341481]
std: [1.387321, 1.955934, 1.761682, 2.220472, 2.227880, 2.628874, 1.102396, 1.634407]
pca: [[-0.164654, -0.596743, 0.008580, 0.573541, 0.039852, 0.023352, -0.512562, 0.151362, 0.000000, 0.000000], [0.391807, -0.025868, -0.079855, 0.057942, 0.825115, -0.390804, -0.000786, -0.050407, 0.000000, 0.000000], [0.308139, -0.190266, -0.601411, -0.135631, 0.074941, 0.621126, -0.093118, -0.297782, 0.000000, 0.000000], [0.401535, 0.432112, -0.380545, 0.578057, -0.331560, -0.184448, 0.024105, 0.168970, 0.000000, 0.000000], [0.407756, 0.096562, 0.673955, 0.320797, 0.022299, 0.400736, 0.051817, -0.321735, 0.000000, 0.000000], [0.531841, -0.177413, 0.171327, -0.366077, -0.134075, 0.084878, -0.175996, 0.682751, 0.000000, 0.000000], [-0.217620, -0.048728, -0.053017, 0.278733, 0.294572, 0.394824, 0.622925, 0.488948, 0.000000, 0.000000], [-0.258298, 0.614112, 0.025726, -0.023085, 0.311131, 0.321292, -0.553473, 0.220433, 0.000000, 0.000000]]
fourier: [[21.986483, 22.212486, 26.201777, 29.783810, 173.430684], [30.310198, 33.285681, 37.650071, 38.324748, 141.576949], [25.680957, 28.785656, 34.368458, 35.990307, 111.158039], [36.611776, 36.964314, 37.481120, 37.601982, 174.622335], [35.783784, 38.067498, 38.200940, 41.713756, 208.243650], [43.058635, 43.768837, 46.773564, 52.673929, 282.322385], [17.626407, 17.926763, 19.893649, 21.020322, 160.839029], [25.187941, 25.711735, 27.956971, 30.733297, 37.469037]]
### 2
mean: [-1.352567, 4.926353, 5.268377, 4.748851, 2.783221, -1.279444, 4.446629, 4.284028]
std: [2.252199, 4.096193, 4.416636, 4.295905, 2.474455, 0.662384, 4.237512, 3.661018]
pca: [[-0.227364, -0.056285, 0.532679, -0.371024, 0.315837, 0.293454, 0.565529, 0.134316, 0.000000, 0.000000], [0.416011, 0.111719, -0.103615, -0.143723, 0.387119, 0.543360, -0.185630, -0.550910, 0.000000, 0.000000], [0.448627, 0.058509, -0.037402, 0.142261, 0.575745, -0.113634, -0.101559, 0.647274, 0.000000, 0.000000], [0.436052, -0.211072, -0.069480, 0.006194, -0.575270, 0.523149, 0.191664, 0.345088, 0.000000, 0.000000], [0.244653, 0.718010, -0.245315, -0.364299, -0.157663, -0.247651, 0.381289, -0.011992, 0.000000, 0.000000], [-0.058819, -0.255578, -0.540762, 0.397309, 0.228123, -0.007431, 0.635205, -0.159252, 0.000000, 0.000000], [0.428024, -0.573014, 0.051780, -0.447655, -0.014156, -0.486910, 0.081507, -0.203589, 0.000000, 0.000000], [0.370559, 0.164842, 0.586520, 0.574844, -0.104256, -0.183245, 0.207749, -0.271025, 0.000000, 0.000000]]
fourier: [[36.761332, 37.559420, 38.889371, 42.394068, 121.731068], [69.847021, 70.275040, 72.544071, 77.335003, 443.371748], [73.912490, 75.738168, 77.783635, 81.697559, 474.153909], [71.454146, 73.752080, 74.128497, 81.224080, 427.396630], [41.459900, 42.308712, 45.472556, 45.687938, 250.489883], [9.637428, 11.701114, 11.750185, 12.242606, 115.149969], [68.397194, 71.447210, 74.220903, 79.596778, 400.196608], [60.372625, 63.268267, 63.612076, 64.505034, 385.562465]]
### 4
mean: [9.497975, 14.759508, -2.560642, 1.180018, -3.471108, -1.397612, -3.532218, 11.889176]
std: [8.642481, 13.064099, 2.225997, 0.620402, 3.054816, 0.789909, 2.747592, 10.502021]
pca: [[0.444285, -0.032026, 0.687295, -0.020105, -0.243068, -0.483000, -0.062350, 0.180410, 0.000000, 0.000000], [0.671783, -0.205375, -0.455180, -0.037082, -0.057742, -0.060783, 0.539175, -0.015068, 0.000000, 0.000000], [-0.114196, -0.204230, 0.254287, -0.552473, -0.525999, 0.455237, 0.230691, -0.195517, 0.000000, 0.000000], [0.023056, 0.841315, 0.091207, -0.280541, 0.148707, 0.055515, 0.377020, 0.193118, 0.000000, 0.000000], [-0.156855, -0.290204, 0.165847, -0.467055, 0.637435, -0.327406, 0.215972, -0.292183, 0.000000, 0.000000], [-0.039917, 0.114649, 0.319298, 0.571979, 0.008299, 0.097842, 0.396789, -0.623753, 0.000000, 0.000000], [-0.140937, -0.328978, 0.282076, 0.253315, 0.257946, 0.338003, 0.389159, 0.629243, 0.000000, 0.000000], [0.540080, 0.041045, 0.196040, -0.069443, 0.407267, 0.567169, -0.393078, -0.146009, 0.000000, 0.000000]]
fourier: [[143.566308, 149.315057, 150.668053, 161.944283, 854.817770], [220.632391, 225.665965, 228.128367, 243.326317, 1328.355826], [38.187646, 38.211536, 39.155408, 41.210247, 230.457767], [9.377524, 9.985345, 12.244509, 12.311531, 106.201593], [51.779422, 52.471508, 53.982254, 56.255651, 312.399731], [12.816284, 13.398735, 14.176254, 14.352563, 125.785059], [46.141598, 47.876171, 48.044980, 49.876262, 317.899646], [175.784865, 181.932090, 182.859334, 195.597168, 1070.025755]]
### 6
mean: [-5.190531, 6.530434, -6.812977, 15.793669, -10.244536, 22.482231, 1.368577, -12.641854]
std: [4.634073, 6.027642, 6.136154, 14.310875, 8.911247, 20.125952, 0.570785, 11.067944]
pca: [[-0.153613, 0.577198, 0.492376, 0.160317, 0.184471, -0.385135, -0.435648, 0.054431, 0.000000, 0.000000], [0.200091, -0.018229, 0.439696, 0.284655, -0.077457, 0.725505, -0.208518, -0.330808, 0.000000, 0.000000], [-0.203656, 0.331300, -0.142198, 0.693683, 0.063463, 0.056662, 0.583131, 0.008304, 0.000000, 0.000000], [0.475092, -0.019201, 0.161074, -0.141850, 0.701343, -0.152265, 0.327940, -0.324409, 0.000000, 0.000000], [-0.295760, -0.484101, -0.165823, 0.367872, 0.577123, 0.064153, -0.378023, 0.187771, 0.000000, 0.000000], [0.668141, -0.094578, 0.098101, 0.298610, -0.121310, -0.089022, -0.031621, 0.649777, 0.000000, 0.000000], [0.017488, 0.515544, -0.315523, -0.325105, 0.330741, 0.517279, -0.068713, 0.383371, 0.000000, 0.000000], [-0.367406, -0.217482, 0.617570, -0.248521, 0.082973, 0.138927, 0.412943, 0.421724, 0.000000, 0.000000]]
fourier: [[79.453032, 79.827500, 81.387152, 86.310409, 467.147760], [100.560219, 105.047973, 106.021824, 112.788857, 587.739080], [103.469440, 106.383472, 107.831620, 114.729169, 613.167917], [239.657175, 249.528957, 251.252181, 266.597093, 1421.430118], [147.986031, 156.004424, 156.092683, 165.353406, 922.008344], [337.304854, 350.875012, 353.448272, 374.925489, 2023.400836], [8.889689, 9.936801, 10.130514, 10.176971, 123.171955], [185.564063, 193.455930, 193.891800, 204.955188, 1137.766838]]
### 8
mean: [-0.132699, -4.770341, -3.581703, 23.341053, 16.171820, -11.173323, -1.049090, -4.601397]
std: [0.126239, 3.960658, 3.048984, 21.205763, 14.880116, 9.948856, 0.576727, 4.893183]
pca: [[0.004130, -0.223921, -0.174032, -0.114511, 0.017928, 0.882394, 0.355979, -0.027945, 0.000000, 0.000000], [-0.138365, -0.073672, 0.546773, 0.328973, 0.608166, 0.259764, -0.335501, 0.135425, 0.000000, 0.000000], [-0.106497, -0.265489, 0.697062, -0.013814, -0.285531, -0.127646, 0.475550, -0.328814, 0.000000, 0.000000], [0.740846, 0.075196, -0.024144, 0.606362, -0.062450, 0.058045, 0.061017, -0.257376, 0.000000, 0.000000], [0.519849, -0.297060, 0.238601, -0.301044, -0.107986, -0.043576, -0.005219, 0.693085, 0.000000, 0.000000], [-0.347560, -0.453201, -0.151866, 0.565630, -0.466860, 0.015899, -0.166360, 0.291416, 0.000000, 0.000000], [-0.019917, -0.442754, -0.311533, 0.135261, 0.560287, -0.362913, 0.488954, 0.059331, 0.000000, 0.000000], [-0.170898, 0.615326, 0.085013, 0.286247, -0.029058, 0.019583, 0.513876, 0.487553, 0.000000, 0.000000]]
fourier: [[1.968962, 2.280443, 2.285584, 2.329450, 11.942943], [66.248698, 69.115278, 69.456159, 73.658863, 429.330674], [50.923835, 53.376907, 53.393608, 56.417165, 322.353342], [354.751394, 370.390292, 373.142213, 395.534912, 2100.695125], [249.040969, 259.515661, 261.859765, 277.946618, 1455.463651], [165.843162, 174.356177, 175.303919, 185.524922, 1005.599059], [9.048828, 10.366026, 10.609357, 10.615081, 94.418064], [82.397365, 84.592722, 85.815542, 91.569086, 414.125698]]
### 10
mean: [-14.572401]
std: [13.766811]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[230.658888, 240.498081, 242.821615, 257.198466, 1311.516083]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7061582207679749, "train_acc": 0.42, "val_loss": 0.689606785774231, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.679797500371933, "train_acc": 0.645, "val_loss": 0.6758090257644653, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6156076490879059, "train_acc": 0.58, "val_loss": 0.6624814867973328, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5838950574398041, "train_acc": 0.58, "val_loss": 0.6213673949241638, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5422152876853943, "train_acc": 0.505, "val_loss": 0.5231048464775085, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.4608960896730423, "train_acc": 0.935, "val_loss": 0.4353792071342468, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.3782607465982437, "train_acc": 0.91, "val_loss": 0.3635236620903015, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3273225426673889, "train_acc": 0.915, "val_loss": 0.3065192699432373, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.2654177397489548, "train_acc": 0.94, "val_loss": 0.26127296686172485, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.22167272865772247, "train_acc": 0.945, "val_loss": 0.19933182001113892, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.19563692808151245, "train_acc": 0.94, "val_loss": 0.13208220899105072, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.19150657951831818, "train_acc": 0.94, "val_loss": 0.11592099070549011, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.14877250790596008, "train_acc": 0.95, "val_loss": 0.09943775832653046, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.14896701276302338, "train_acc": 0.96, "val_loss": 0.07792957127094269, "val_acc": 0.96}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.689606785774231, "final_val_loss": 0.6213673949241638, "initial_val_acc": 0.6, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5231048464775085, "final_val_loss": 0.07792957127094269, "initial_val_acc": 0.9, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 9}, "improvement": 0.48, "first_improvement_epoch": 3}}
|
9,744
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.58, "improved_accuracy": 0.98, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4100, "learning_rate": 0.047487402999954284, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.167316,
-0.126706,
0.319498,
0.120871,
-0.302147
],
[
-0.131893,
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-0.147764,
0.458598,
-0.291076
],
[
-0.439303,
0.038159,
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0.105674,
0.011677
],
[
0.70306,
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## Activation Signature
### 0
mean: [0.521736, 0.202277, 1.303633, 0.652220, 2.169956, 0.826071, -2.776895]
std: [0.796753, 1.251171, 1.162628, 1.998557, 1.790416, 1.609138, 1.775026]
pca: [[-0.085155, -0.221107, 0.005789, 0.643204, -0.346835, 0.632518, -0.098701, 0.000000, 0.000000, 0.000000], [-0.195080, -0.084089, 0.709710, 0.094820, -0.173462, -0.156543, 0.622574, 0.000000, 0.000000, 0.000000], [-0.083788, -0.565535, -0.087401, 0.454724, 0.577411, -0.354024, -0.000400, 0.000000, 0.000000, 0.000000], [0.592215, 0.340311, 0.136004, 0.169949, 0.525367, 0.357469, 0.286871, 0.000000, 0.000000, 0.000000], [0.497260, -0.128955, 0.547654, 0.061789, -0.159062, -0.226284, -0.596535, 0.000000, 0.000000, 0.000000], [0.451276, 0.100174, -0.397885, 0.349159, -0.448676, -0.452267, 0.316600, 0.000000, 0.000000, 0.000000], [-0.382146, 0.694071, 0.109106, 0.464662, 0.116584, -0.257968, -0.253525, 0.000000, 0.000000, 0.000000]]
fourier: [[12.269136, 13.399647, 14.712053, 15.433198, 46.956273], [18.494525, 20.182061, 20.423598, 21.204118, 21.367577], [17.643163, 18.084215, 19.472335, 20.975665, 117.326999], [31.144297, 31.164336, 33.671407, 37.036406, 58.699784], [29.250789, 30.969968, 32.073357, 32.721010, 195.296043], [23.495857, 28.053824, 31.778719, 32.533248, 74.346387], [29.051998, 30.721719, 33.712639, 37.378981, 249.920555]]
### 2
mean: [0.787764, -1.885216, -1.039491, 1.023386, -0.471704, 0.582691, -0.873465]
std: [1.235708, 1.139598, 0.839385, 1.724854, 0.603920, 1.225481, 0.460022]
pca: [[-0.382324, -0.546402, -0.559932, 0.371651, 0.049921, 0.313646, 0.052528, 0.000000, 0.000000, 0.000000], [-0.322355, 0.601836, 0.056842, 0.652137, -0.139198, 0.054658, -0.288103, 0.000000, 0.000000, 0.000000], [-0.245632, 0.411490, -0.256062, -0.552452, 0.105472, 0.615036, -0.100879, 0.000000, 0.000000, 0.000000], [0.663654, -0.030841, 0.158450, 0.333090, 0.223706, 0.610176, -0.014072, 0.000000, 0.000000, 0.000000], [-0.218199, 0.129847, 0.102081, 0.092454, 0.902171, -0.157415, 0.279051, 0.000000, 0.000000, 0.000000], [-0.418835, -0.369925, 0.730677, -0.069860, 0.007983, 0.276096, -0.269576, 0.000000, 0.000000, 0.000000], [-0.161587, 0.123525, 0.219686, 0.083744, -0.320917, 0.216902, 0.867941, 0.000000, 0.000000, 0.000000]]
fourier: [[20.725908, 21.044295, 22.964307, 23.524003, 70.898755], [18.665148, 19.703300, 20.351540, 20.995273, 169.669390], [13.967315, 14.478150, 15.188120, 15.889415, 93.554208], [30.257655, 30.905804, 32.309424, 34.348479, 92.104772], [10.396838, 10.473700, 10.518471, 10.737926, 42.453357], [20.388693, 20.919765, 22.069067, 24.388134, 52.442216], [7.780691, 8.255554, 8.862812, 8.877744, 78.611877]]
### 4
mean: [0.904978, -0.106881, 0.895803, 0.535420, -1.087586, 0.738157, 0.251050]
std: [1.460310, 0.394753, 1.067051, 0.955799, 0.773794, 0.986348, 0.763537]
pca: [[0.591196, -0.105501, -0.358393, 0.193250, -0.294207, 0.355447, -0.510554, 0.000000, 0.000000, 0.000000], [-0.157944, 0.054916, 0.529375, 0.403993, -0.165607, 0.689087, 0.162244, 0.000000, 0.000000, 0.000000], [0.415404, -0.466411, 0.392097, -0.368024, -0.444086, -0.136088, 0.324016, 0.000000, 0.000000, 0.000000], [0.385907, 0.119741, -0.402249, 0.161483, 0.239355, 0.174405, 0.749099, 0.000000, 0.000000, 0.000000], [0.244744, 0.764660, 0.182650, -0.536083, -0.059817, 0.167608, -0.054579, 0.000000, 0.000000, 0.000000], [0.396488, -0.191520, 0.404841, -0.008189, 0.772681, 0.034959, -0.209515, 0.000000, 0.000000, 0.000000], [0.294879, 0.364132, 0.280207, 0.592008, -0.175784, -0.566184, 0.000715, 0.000000, 0.000000, 0.000000]]
fourier: [[24.146367, 24.667724, 26.911294, 30.310226, 81.447998], [6.330652, 6.824961, 7.381227, 7.999779, 9.619283], [16.213827, 18.582591, 18.816728, 20.917134, 80.622242], [16.385252, 16.752993, 17.649146, 19.981444, 48.187812], [13.057291, 13.603948, 14.199409, 15.461363, 97.882773], [15.841798, 15.886945, 17.692701, 20.249619, 66.434110], [13.279202, 13.498862, 13.866927, 15.715046, 22.594533]]
### 6
mean: [-0.188280, -1.445155, -0.167950, -0.612397, 2.287700, -0.200888, -0.855325]
std: [0.573077, 1.207870, 0.087001, 0.206062, 1.820193, 0.303361, 0.610145]
pca: [[-0.241980, -0.198319, -0.207882, -0.160159, 0.638423, -0.500888, -0.418063, 0.000000, 0.000000, 0.000000], [-0.509930, -0.467727, -0.167159, 0.668715, -0.182963, -0.035117, 0.106641, 0.000000, 0.000000, 0.000000], [-0.029101, -0.415285, -0.104982, -0.226663, 0.493398, 0.630894, 0.350464, 0.000000, 0.000000, 0.000000], [-0.083652, 0.397534, -0.595222, 0.167440, 0.004993, 0.478009, -0.473419, 0.000000, 0.000000, 0.000000], [0.769388, -0.131453, -0.102074, 0.542815, 0.279605, -0.086113, -0.010011, 0.000000, 0.000000, 0.000000], [-0.125387, 0.479232, -0.403220, 0.074977, 0.216444, -0.277553, 0.680090, 0.000000, 0.000000, 0.000000], [-0.256694, 0.405539, 0.624922, 0.384041, 0.436403, 0.192109, -0.065408, 0.000000, 0.000000, 0.000000]]
fourier: [[8.139424, 9.360976, 10.569037, 11.341631, 16.945198], [17.197529, 19.793023, 22.182204, 23.812202, 130.063921], [1.405370, 1.477033, 1.579363, 1.704663, 15.115474], [2.949006, 3.171607, 3.689446, 4.024558, 55.115753], [25.820092, 29.325111, 32.906381, 36.691653, 205.893022], [4.321111, 4.487436, 5.353249, 6.116898, 18.079943], [8.777091, 9.675756, 10.570505, 12.562120, 76.979209]]
### 8
mean: [-0.327676, 0.111998, -0.579141, -0.591453, 0.011376, 1.315768, -0.956313]
std: [0.014091, 0.145656, 0.147240, 0.272412, 0.522904, 0.988078, 0.637842]
pca: [[0.001821, -0.010961, -0.427269, -0.300788, 0.326359, 0.779687, -0.111456, 0.000000, 0.000000, 0.000000], [-0.091684, 0.654162, 0.520635, 0.060061, 0.078388, 0.215578, -0.486187, 0.000000, 0.000000, 0.000000], [-0.109060, -0.228332, -0.015567, 0.845115, 0.450039, 0.115420, -0.075184, 0.000000, 0.000000, 0.000000], [-0.204252, 0.221526, -0.370192, -0.228081, 0.582655, -0.566189, -0.245127, 0.000000, 0.000000, 0.000000], [-0.391234, 0.527666, -0.509462, 0.308173, -0.396600, 0.047396, 0.233332, 0.000000, 0.000000, 0.000000], [0.744095, 0.432450, -0.059650, 0.118073, 0.253560, -0.028843, 0.420341, 0.000000, 0.000000, 0.000000], [-0.480871, 0.072787, 0.382081, -0.175406, 0.351766, 0.092972, 0.674039, 0.000000, 0.000000, 0.000000]]
fourier: [[0.203028, 0.215855, 0.226854, 0.226923, 29.490880], [2.446543, 2.494055, 2.678417, 2.891972, 10.079816], [2.125866, 2.286256, 2.728782, 2.800144, 52.122689], [4.294750, 4.614949, 4.615233, 5.741142, 53.230775], [7.400465, 8.344151, 8.812820, 8.895826, 11.035220], [14.017996, 15.873533, 17.927784, 19.960964, 118.419139], [9.315233, 10.391787, 11.433186, 13.110415, 86.068148]]
### 10
mean: [-0.485711]
std: [0.540035]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.493489, 9.065779, 9.286837, 11.354345, 43.714010]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.10.bias": [
-0.035091
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}
## Activation Signature
### 0
mean: [0.521736, 0.202277, 1.303633, 0.652220, 2.169956, 0.826071, -2.776895]
std: [0.796753, 1.251171, 1.162628, 1.998557, 1.790416, 1.609138, 1.775026]
pca: [[-0.085155, -0.221107, 0.005789, 0.643204, -0.346835, 0.632518, -0.098701, 0.000000, 0.000000, 0.000000], [-0.195080, -0.084089, 0.709710, 0.094820, -0.173462, -0.156543, 0.622574, 0.000000, 0.000000, 0.000000], [-0.083788, -0.565535, -0.087401, 0.454724, 0.577411, -0.354024, -0.000400, 0.000000, 0.000000, 0.000000], [0.592215, 0.340311, 0.136004, 0.169949, 0.525367, 0.357469, 0.286871, 0.000000, 0.000000, 0.000000], [0.497260, -0.128955, 0.547654, 0.061789, -0.159062, -0.226284, -0.596535, 0.000000, 0.000000, 0.000000], [0.451276, 0.100174, -0.397885, 0.349159, -0.448676, -0.452267, 0.316600, 0.000000, 0.000000, 0.000000], [-0.382146, 0.694071, 0.109106, 0.464662, 0.116584, -0.257968, -0.253525, 0.000000, 0.000000, 0.000000]]
fourier: [[12.269136, 13.399647, 14.712053, 15.433198, 46.956273], [18.494525, 20.182061, 20.423598, 21.204118, 21.367577], [17.643163, 18.084215, 19.472335, 20.975665, 117.326999], [31.144297, 31.164336, 33.671407, 37.036406, 58.699784], [29.250789, 30.969968, 32.073357, 32.721010, 195.296043], [23.495857, 28.053824, 31.778719, 32.533248, 74.346387], [29.051998, 30.721719, 33.712639, 37.378981, 249.920555]]
### 2
mean: [0.787764, -1.885216, -1.039491, 1.023386, -0.471704, 0.582691, -0.873465]
std: [1.235708, 1.139598, 0.839385, 1.724854, 0.603920, 1.225481, 0.460022]
pca: [[-0.382324, -0.546402, -0.559932, 0.371651, 0.049921, 0.313646, 0.052528, 0.000000, 0.000000, 0.000000], [-0.322355, 0.601836, 0.056842, 0.652137, -0.139198, 0.054658, -0.288103, 0.000000, 0.000000, 0.000000], [-0.245632, 0.411490, -0.256062, -0.552452, 0.105472, 0.615036, -0.100879, 0.000000, 0.000000, 0.000000], [0.663654, -0.030841, 0.158450, 0.333090, 0.223706, 0.610176, -0.014072, 0.000000, 0.000000, 0.000000], [-0.218199, 0.129847, 0.102081, 0.092454, 0.902171, -0.157415, 0.279051, 0.000000, 0.000000, 0.000000], [-0.418835, -0.369925, 0.730677, -0.069860, 0.007983, 0.276096, -0.269576, 0.000000, 0.000000, 0.000000], [-0.161587, 0.123525, 0.219686, 0.083744, -0.320917, 0.216902, 0.867941, 0.000000, 0.000000, 0.000000]]
fourier: [[20.725908, 21.044295, 22.964307, 23.524003, 70.898755], [18.665148, 19.703300, 20.351540, 20.995273, 169.669390], [13.967315, 14.478150, 15.188120, 15.889415, 93.554208], [30.257655, 30.905804, 32.309424, 34.348479, 92.104772], [10.396838, 10.473700, 10.518471, 10.737926, 42.453357], [20.388693, 20.919765, 22.069067, 24.388134, 52.442216], [7.780691, 8.255554, 8.862812, 8.877744, 78.611877]]
### 4
mean: [0.904978, -0.106881, 0.895803, 0.535420, -1.087586, 0.738157, 0.251050]
std: [1.460310, 0.394753, 1.067051, 0.955799, 0.773794, 0.986348, 0.763537]
pca: [[0.591196, -0.105501, -0.358393, 0.193250, -0.294207, 0.355447, -0.510554, 0.000000, 0.000000, 0.000000], [-0.157944, 0.054916, 0.529375, 0.403993, -0.165607, 0.689087, 0.162244, 0.000000, 0.000000, 0.000000], [0.415404, -0.466411, 0.392097, -0.368024, -0.444086, -0.136088, 0.324016, 0.000000, 0.000000, 0.000000], [0.385907, 0.119741, -0.402249, 0.161483, 0.239355, 0.174405, 0.749099, 0.000000, 0.000000, 0.000000], [0.244744, 0.764660, 0.182650, -0.536083, -0.059817, 0.167608, -0.054579, 0.000000, 0.000000, 0.000000], [0.396488, -0.191520, 0.404841, -0.008189, 0.772681, 0.034959, -0.209515, 0.000000, 0.000000, 0.000000], [0.294879, 0.364132, 0.280207, 0.592008, -0.175784, -0.566184, 0.000715, 0.000000, 0.000000, 0.000000]]
fourier: [[24.146367, 24.667724, 26.911294, 30.310226, 81.447998], [6.330652, 6.824961, 7.381227, 7.999779, 9.619283], [16.213827, 18.582591, 18.816728, 20.917134, 80.622242], [16.385252, 16.752993, 17.649146, 19.981444, 48.187812], [13.057291, 13.603948, 14.199409, 15.461363, 97.882773], [15.841798, 15.886945, 17.692701, 20.249619, 66.434110], [13.279202, 13.498862, 13.866927, 15.715046, 22.594533]]
### 6
mean: [-0.188280, -1.445155, -0.167950, -0.612397, 2.287700, -0.200888, -0.855325]
std: [0.573077, 1.207870, 0.087001, 0.206062, 1.820193, 0.303361, 0.610145]
pca: [[-0.241980, -0.198319, -0.207882, -0.160159, 0.638423, -0.500888, -0.418063, 0.000000, 0.000000, 0.000000], [-0.509930, -0.467727, -0.167159, 0.668715, -0.182963, -0.035117, 0.106641, 0.000000, 0.000000, 0.000000], [-0.029101, -0.415285, -0.104982, -0.226663, 0.493398, 0.630894, 0.350464, 0.000000, 0.000000, 0.000000], [-0.083652, 0.397534, -0.595222, 0.167440, 0.004993, 0.478009, -0.473419, 0.000000, 0.000000, 0.000000], [0.769388, -0.131453, -0.102074, 0.542815, 0.279605, -0.086113, -0.010011, 0.000000, 0.000000, 0.000000], [-0.125387, 0.479232, -0.403220, 0.074977, 0.216444, -0.277553, 0.680090, 0.000000, 0.000000, 0.000000], [-0.256694, 0.405539, 0.624922, 0.384041, 0.436403, 0.192109, -0.065408, 0.000000, 0.000000, 0.000000]]
fourier: [[8.139424, 9.360976, 10.569037, 11.341631, 16.945198], [17.197529, 19.793023, 22.182204, 23.812202, 130.063921], [1.405370, 1.477033, 1.579363, 1.704663, 15.115474], [2.949006, 3.171607, 3.689446, 4.024558, 55.115753], [25.820092, 29.325111, 32.906381, 36.691653, 205.893022], [4.321111, 4.487436, 5.353249, 6.116898, 18.079943], [8.777091, 9.675756, 10.570505, 12.562120, 76.979209]]
### 8
mean: [-0.327676, 0.111998, -0.579141, -0.591453, 0.011376, 1.315768, -0.956313]
std: [0.014091, 0.145656, 0.147240, 0.272412, 0.522904, 0.988078, 0.637842]
pca: [[0.001821, -0.010961, -0.427269, -0.300788, 0.326359, 0.779687, -0.111456, 0.000000, 0.000000, 0.000000], [-0.091684, 0.654162, 0.520635, 0.060061, 0.078388, 0.215578, -0.486187, 0.000000, 0.000000, 0.000000], [-0.109060, -0.228332, -0.015567, 0.845115, 0.450039, 0.115420, -0.075184, 0.000000, 0.000000, 0.000000], [-0.204252, 0.221526, -0.370192, -0.228081, 0.582655, -0.566189, -0.245127, 0.000000, 0.000000, 0.000000], [-0.391234, 0.527666, -0.509462, 0.308173, -0.396600, 0.047396, 0.233332, 0.000000, 0.000000, 0.000000], [0.744095, 0.432450, -0.059650, 0.118073, 0.253560, -0.028843, 0.420341, 0.000000, 0.000000, 0.000000], [-0.480871, 0.072787, 0.382081, -0.175406, 0.351766, 0.092972, 0.674039, 0.000000, 0.000000, 0.000000]]
fourier: [[0.203028, 0.215855, 0.226854, 0.226923, 29.490880], [2.446543, 2.494055, 2.678417, 2.891972, 10.079816], [2.125866, 2.286256, 2.728782, 2.800144, 52.122689], [4.294750, 4.614949, 4.615233, 5.741142, 53.230775], [7.400465, 8.344151, 8.812820, 8.895826, 11.035220], [14.017996, 15.873533, 17.927784, 19.960964, 118.419139], [9.315233, 10.391787, 11.433186, 13.110415, 86.068148]]
### 10
mean: [-0.485711]
std: [0.540035]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.493489, 9.065779, 9.286837, 11.354345, 43.714010]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.167316, -0.126706, 0.319498, 0.120871, -0.302147], [-0.131893, 0.153802, -0.147764, 0.458598, -0.291076], [-0.439303, 0.038159, 0.52844, 0.105674, 0.011677], [0.70306, 0.472788, 0.013939, -0.397558, 0.014746], [0.649104, 0.300401, 0.196579, 0.166035, -0.077656], [0.555423, -0.106539, 0.309654, -0.353737, -0.031284], [-0.296236, 0.122053, -0.548156, -0.203321, -0.436835]], "network.0.bias": [0.406889, -0.229633, 0.435921, -0.278986, 0.143876, 0.479335, -0.510841], "network.2.weight": [[0.532977, 0.21037, 0.542629, -0.177921, -0.070941, -0.129459, 0.375608], [0.370213, -0.431579, -0.457278, 0.118984, -0.430253, -0.474213, 0.253182], [-0.250703, -0.315409, -0.050474, -0.180477, -0.256984, -0.109815, -0.175405], [-0.084929, -0.002938, -0.311791, 0.298574, 0.365728, 0.43682, 0.206426], [0.183568, -0.257527, -0.200955, -0.351947, 0.099479, -0.212525, -0.249246], [0.177547, 0.507825, 0.148571, -0.387314, 0.073404, -0.265811, -0.230952], [0.056244, 0.047838, -0.084802, 0.026976, -0.171651, -0.16947, 0.032931]], "network.2.bias": [0.073127, 0.086392, 0.235443, -0.079238, 0.225648, 0.5146, -0.290812], "network.4.weight": [[0.532129, -0.108545, 0.409758, -0.461594, 0.120591, 0.510936, 0.222681], [-0.201667, 0.447784, -0.370434, 0.131459, 0.455885, -0.049281, -0.132222], [0.592998, 0.089812, -0.062806, -0.149281, 0.434797, 0.507194, -0.218719], [0.225383, -0.067077, 0.469333, -0.380914, -0.070265, 0.292152, -0.306398], [-0.420547, -0.250421, 0.243767, -0.497426, -0.056912, 0.251882, -0.200377], [0.37913, 0.305699, 0.190807, -0.237987, 0.500371, 0.48112, -0.163186], [-0.085554, 0.044972, 0.041279, -0.373208, 0.520347, 0.33309, 0.050036]], "network.4.bias": [0.415468, -0.009906, 0.008523, 0.462071, -0.351843, 0.181181, 0.4359], "network.6.weight": [[-0.458655, 0.127156, -0.136842, 0.097379, -0.056874, -0.036318, -0.056756], [-0.223329, 0.361643, -0.449259, -0.194973, -0.272102, -0.579988, -0.016707], [-0.350808, 0.190401, -0.113115, 0.247797, 0.352412, 0.284799, 0.172103], [-0.008819, -0.340878, -0.044328, -0.189351, -0.145009, -0.005264, -0.312335], [0.488743, -0.19941, 0.504833, 0.614965, 0.026637, 0.505373, 0.526532], [-0.05512, -0.30825, 0.029527, -0.171935, -0.074576, -0.152425, -0.363805], [0.218191, 0.086727, -0.238529, -0.257797, 0.055813, -0.413531, -0.481344]], "network.6.bias": [0.485778, -0.064653, -0.17944, -0.210321, -0.001554, 0.323826, -0.076572], "network.8.weight": [[0.058431, 0.141456, -0.208392, -0.080871, 0.000295, -0.287968, 0.142965], [0.465036, -0.202833, 0.286251, -0.347591, -0.000154, 0.551393, -0.320788], [-0.208746, 0.225096, 0.213134, 0.122142, -0.094625, 0.140995, -0.227291], [0.326907, 0.159992, 0.190267, 0.37336, -0.115666, -0.10248, -0.064305], [0.581621, 0.411063, -0.311104, -0.35986, -0.212315, 0.134146, 0.110225], [-0.153463, 0.046547, -0.131993, 0.230992, 0.53716, 0.009491, -0.227104], [0.335624, -0.212162, -0.045087, 0.057592, -0.314158, 0.275322, -0.03043]], "network.8.bias": [-0.326901, 0.020399, -0.341766, -0.372848, 0.396492, 0.095568, -0.288683], "network.10.weight": [[0.301217, 0.260819, -0.369361, -0.056236, 0.324346, -0.418103, -0.353121]], "network.10.bias": [-0.035091]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6908063590526581, "train_acc": 0.47, "val_loss": 0.6645182967185974, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6551648378372192, "train_acc": 0.56, "val_loss": 0.5903957486152649, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5958208739757538, "train_acc": 0.635, "val_loss": 0.447745680809021, "val_acc": 0.98}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4465936869382858, "train_acc": 0.895, "val_loss": 0.23511825501918793, "val_acc": 0.98}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3126136064529419, "train_acc": 0.9, "val_loss": 0.12678518891334534, "val_acc": 0.98}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.26097652316093445, "train_acc": 0.9, "val_loss": 0.10901499539613724, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.32052358239889145, "train_acc": 0.905, "val_loss": 0.13684411346912384, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.30071301758289337, "train_acc": 0.905, "val_loss": 0.12712985277175903, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.26859980821609497, "train_acc": 0.905, "val_loss": 0.15042854845523834, "val_acc": 0.98}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6645182967185974, "final_val_loss": 0.5903957486152649, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.447745680809021, "final_val_loss": 0.15042854845523834, "initial_val_acc": 0.98, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 2}, "improvement": 0.4, "first_improvement_epoch": 1}}
|
9,745
|
{"target_pattern": "alternating", "degraded_accuracy": 0.6, "improved_accuracy": 1.0, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7118, "learning_rate": 0.028794338028040094, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.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: [0.149278, -0.353204, -0.809715, -0.138628, 0.651504, -2.188648]
std: [1.491745, 0.679752, 1.692452, 1.604871, 1.265879, 1.201893]
pca: [[-0.396831, 0.590114, -0.282355, 0.608741, 0.194738, -0.077962, 0.000000, 0.000000, 0.000000, 0.000000], [-0.043493, -0.354979, -0.158881, -0.067040, 0.904922, -0.153220, 0.000000, 0.000000, 0.000000, 0.000000], [0.683878, 0.051175, -0.316135, 0.286326, 0.116532, 0.578090, 0.000000, 0.000000, 0.000000, 0.000000], [-0.595332, -0.437800, -0.148858, 0.085145, -0.111489, 0.641929, 0.000000, 0.000000, 0.000000, 0.000000], [0.084948, -0.266206, 0.724642, 0.625738, 0.072369, -0.005163, 0.000000, 0.000000, 0.000000, 0.000000], [0.106336, -0.510493, -0.497821, 0.379683, -0.334584, -0.473453, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.626824, 21.966725, 22.357175, 29.744791, 30.359984], [10.031838, 10.136625, 12.114442, 15.007499, 31.788370], [29.778469, 30.723914, 30.823193, 35.339242, 72.874369], [27.478050, 29.771996, 31.290439, 32.311150, 32.770135], [18.172971, 22.223241, 23.278960, 25.330805, 58.635342], [18.263997, 19.326603, 21.800436, 24.822755, 196.978330]]
### 2
mean: [0.562066, 0.344507, -0.004174, -0.802419, -0.600675, 0.819614]
std: [0.777295, 0.151116, 0.743410, 0.797466, 0.417037, 0.670059]
pca: [[0.624287, 0.246269, 0.500531, 0.421537, -0.049003, -0.344952, 0.000000, 0.000000, 0.000000, 0.000000], [0.071866, 0.080073, 0.150418, -0.168200, 0.966218, 0.062684, 0.000000, 0.000000, 0.000000, 0.000000], [0.397380, -0.643841, 0.260803, -0.042614, -0.062807, 0.594794, 0.000000, 0.000000, 0.000000, 0.000000], [-0.552310, -0.061719, 0.803339, -0.171995, -0.104048, -0.073365, 0.000000, 0.000000, 0.000000, 0.000000], [-0.333336, 0.180153, 0.010764, 0.782399, 0.113183, 0.480996, 0.000000, 0.000000, 0.000000, 0.000000], [0.176155, 0.694366, 0.115569, -0.387903, -0.190893, 0.535313, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.041955, 13.952679, 14.950317, 14.966593, 50.585986], [2.464176, 2.544236, 2.782115, 3.009788, 31.005594], [10.144634, 10.232681, 11.372171, 11.977019, 12.812731], [12.386189, 14.012560, 14.107951, 17.614077, 72.217673], [6.605446, 6.720149, 7.307658, 7.942908, 54.060795], [9.335352, 9.427441, 9.742138, 9.857834, 73.765282]]
### 4
mean: [0.713874, -0.240361, 0.021189, 0.101504, -0.399659, -0.164020]
std: [0.746590, 0.503095, 0.452165, 0.335358, 0.308311, 0.490692]
pca: [[0.659962, 0.052507, 0.134412, 0.294752, 0.538669, -0.408147, 0.000000, 0.000000, 0.000000, 0.000000], [-0.391658, 0.566791, -0.451838, -0.005244, 0.120663, -0.553722, 0.000000, 0.000000, 0.000000, 0.000000], [-0.394147, -0.151016, 0.320800, -0.483453, 0.696312, 0.018747, 0.000000, 0.000000, 0.000000, 0.000000], [-0.282118, 0.082298, 0.765750, 0.257376, -0.304901, -0.409946, 0.000000, 0.000000, 0.000000, 0.000000], [0.031588, 0.744002, 0.247623, 0.169705, 0.167582, 0.572069, 0.000000, 0.000000, 0.000000, 0.000000], [-0.418467, -0.304752, -0.164839, 0.764411, 0.298960, 0.176461, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.390857, 10.699456, 11.400548, 11.403940, 64.248689], [7.999034, 8.227831, 9.191157, 9.465470, 21.632507], [6.063447, 6.099870, 6.345343, 7.091770, 7.353161], [5.184622, 5.454025, 5.547034, 5.659466, 9.135331], [4.769483, 4.821579, 4.932941, 5.545075, 35.969310], [6.154264, 6.947278, 7.309084, 7.925085, 14.761776]]
### 6
mean: [0.411666, -0.080092, 0.110635, 0.129106, 0.066351, 0.082485]
std: [0.617709, 0.252603, 0.289332, 0.261489, 0.161277, 0.601668]
pca: [[0.625605, 0.455619, 0.095879, 0.137468, -0.518829, -0.322111, 0.000000, 0.000000, 0.000000, 0.000000], [-0.252090, 0.337651, 0.553009, -0.039762, -0.315874, 0.644411, 0.000000, 0.000000, 0.000000, 0.000000], [0.289588, -0.361107, -0.523912, 0.185670, -0.375363, 0.579557, 0.000000, 0.000000, 0.000000, 0.000000], [0.265243, 0.116811, 0.173721, 0.751853, 0.529820, 0.199572, 0.000000, 0.000000, 0.000000, 0.000000], [0.134762, 0.642444, -0.464490, -0.374576, 0.371626, 0.273755, 0.000000, 0.000000, 0.000000, 0.000000], [-0.610486, 0.348750, -0.405679, 0.489344, -0.267069, -0.174131, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.971259, 9.433652, 9.820520, 10.320004, 37.049930], [3.367671, 3.495439, 3.855066, 3.904346, 7.208320], [3.937548, 3.993131, 4.439985, 4.503995, 9.957136], [3.896565, 4.051853, 4.266909, 4.300371, 11.619527], [1.984852, 2.559812, 3.004134, 3.170010, 5.971585], [8.126502, 8.300540, 8.765324, 9.078379, 9.356160]]
### 8
mean: [-0.353582]
std: [0.304477]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.608043, 4.661366, 4.717200, 4.744084, 31.822400]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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"network.2.weight": [
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],
"network.2.bias": [
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],
"network.4.bias": [
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],
"network.6.bias": [
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"network.8.weight": [
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [0.149278, -0.353204, -0.809715, -0.138628, 0.651504, -2.188648]
std: [1.491745, 0.679752, 1.692452, 1.604871, 1.265879, 1.201893]
pca: [[-0.396831, 0.590114, -0.282355, 0.608741, 0.194738, -0.077962, 0.000000, 0.000000, 0.000000, 0.000000], [-0.043493, -0.354979, -0.158881, -0.067040, 0.904922, -0.153220, 0.000000, 0.000000, 0.000000, 0.000000], [0.683878, 0.051175, -0.316135, 0.286326, 0.116532, 0.578090, 0.000000, 0.000000, 0.000000, 0.000000], [-0.595332, -0.437800, -0.148858, 0.085145, -0.111489, 0.641929, 0.000000, 0.000000, 0.000000, 0.000000], [0.084948, -0.266206, 0.724642, 0.625738, 0.072369, -0.005163, 0.000000, 0.000000, 0.000000, 0.000000], [0.106336, -0.510493, -0.497821, 0.379683, -0.334584, -0.473453, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.626824, 21.966725, 22.357175, 29.744791, 30.359984], [10.031838, 10.136625, 12.114442, 15.007499, 31.788370], [29.778469, 30.723914, 30.823193, 35.339242, 72.874369], [27.478050, 29.771996, 31.290439, 32.311150, 32.770135], [18.172971, 22.223241, 23.278960, 25.330805, 58.635342], [18.263997, 19.326603, 21.800436, 24.822755, 196.978330]]
### 2
mean: [0.562066, 0.344507, -0.004174, -0.802419, -0.600675, 0.819614]
std: [0.777295, 0.151116, 0.743410, 0.797466, 0.417037, 0.670059]
pca: [[0.624287, 0.246269, 0.500531, 0.421537, -0.049003, -0.344952, 0.000000, 0.000000, 0.000000, 0.000000], [0.071866, 0.080073, 0.150418, -0.168200, 0.966218, 0.062684, 0.000000, 0.000000, 0.000000, 0.000000], [0.397380, -0.643841, 0.260803, -0.042614, -0.062807, 0.594794, 0.000000, 0.000000, 0.000000, 0.000000], [-0.552310, -0.061719, 0.803339, -0.171995, -0.104048, -0.073365, 0.000000, 0.000000, 0.000000, 0.000000], [-0.333336, 0.180153, 0.010764, 0.782399, 0.113183, 0.480996, 0.000000, 0.000000, 0.000000, 0.000000], [0.176155, 0.694366, 0.115569, -0.387903, -0.190893, 0.535313, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.041955, 13.952679, 14.950317, 14.966593, 50.585986], [2.464176, 2.544236, 2.782115, 3.009788, 31.005594], [10.144634, 10.232681, 11.372171, 11.977019, 12.812731], [12.386189, 14.012560, 14.107951, 17.614077, 72.217673], [6.605446, 6.720149, 7.307658, 7.942908, 54.060795], [9.335352, 9.427441, 9.742138, 9.857834, 73.765282]]
### 4
mean: [0.713874, -0.240361, 0.021189, 0.101504, -0.399659, -0.164020]
std: [0.746590, 0.503095, 0.452165, 0.335358, 0.308311, 0.490692]
pca: [[0.659962, 0.052507, 0.134412, 0.294752, 0.538669, -0.408147, 0.000000, 0.000000, 0.000000, 0.000000], [-0.391658, 0.566791, -0.451838, -0.005244, 0.120663, -0.553722, 0.000000, 0.000000, 0.000000, 0.000000], [-0.394147, -0.151016, 0.320800, -0.483453, 0.696312, 0.018747, 0.000000, 0.000000, 0.000000, 0.000000], [-0.282118, 0.082298, 0.765750, 0.257376, -0.304901, -0.409946, 0.000000, 0.000000, 0.000000, 0.000000], [0.031588, 0.744002, 0.247623, 0.169705, 0.167582, 0.572069, 0.000000, 0.000000, 0.000000, 0.000000], [-0.418467, -0.304752, -0.164839, 0.764411, 0.298960, 0.176461, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.390857, 10.699456, 11.400548, 11.403940, 64.248689], [7.999034, 8.227831, 9.191157, 9.465470, 21.632507], [6.063447, 6.099870, 6.345343, 7.091770, 7.353161], [5.184622, 5.454025, 5.547034, 5.659466, 9.135331], [4.769483, 4.821579, 4.932941, 5.545075, 35.969310], [6.154264, 6.947278, 7.309084, 7.925085, 14.761776]]
### 6
mean: [0.411666, -0.080092, 0.110635, 0.129106, 0.066351, 0.082485]
std: [0.617709, 0.252603, 0.289332, 0.261489, 0.161277, 0.601668]
pca: [[0.625605, 0.455619, 0.095879, 0.137468, -0.518829, -0.322111, 0.000000, 0.000000, 0.000000, 0.000000], [-0.252090, 0.337651, 0.553009, -0.039762, -0.315874, 0.644411, 0.000000, 0.000000, 0.000000, 0.000000], [0.289588, -0.361107, -0.523912, 0.185670, -0.375363, 0.579557, 0.000000, 0.000000, 0.000000, 0.000000], [0.265243, 0.116811, 0.173721, 0.751853, 0.529820, 0.199572, 0.000000, 0.000000, 0.000000, 0.000000], [0.134762, 0.642444, -0.464490, -0.374576, 0.371626, 0.273755, 0.000000, 0.000000, 0.000000, 0.000000], [-0.610486, 0.348750, -0.405679, 0.489344, -0.267069, -0.174131, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.971259, 9.433652, 9.820520, 10.320004, 37.049930], [3.367671, 3.495439, 3.855066, 3.904346, 7.208320], [3.937548, 3.993131, 4.439985, 4.503995, 9.957136], [3.896565, 4.051853, 4.266909, 4.300371, 11.619527], [1.984852, 2.559812, 3.004134, 3.170010, 5.971585], [8.126502, 8.300540, 8.765324, 9.078379, 9.356160]]
### 8
mean: [-0.353582]
std: [0.304477]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.608043, 4.661366, 4.717200, 4.744084, 31.822400]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 0.14927780628204346, "std": 1.4917447566986084, "pca": [-0.39683106541633606, 0.5901136994361877, -0.28235501050949097, 0.6087412238121033, 0.19473765790462494, -0.07796157896518707, 0.0, 0.0, 0.0, 0.0], "fourier": [21.626824301115157, 21.96672458915183, 22.357174676582986, 29.744790796046885, 30.35998369674199]}, "1": {"mean": -0.3532041013240814, "std": 0.6797518134117126, "pca": [-0.04349338635802269, -0.35497891902923584, -0.15888147056102753, -0.06704042851924896, 0.9049222469329834, -0.15321986377239227, 0.0, 0.0, 0.0, 0.0], "fourier": [10.031838196938109, 10.136625284759344, 12.114441621576933, 15.007499184166443, 31.788370460271835]}, "2": {"mean": -0.8097152709960938, "std": 1.6924524307250977, "pca": [0.6838781237602234, 0.05117468535900116, -0.3161346912384033, 0.2863262891769409, 0.11653211712837219, 0.5780901908874512, 0.0, 0.0, 0.0, 0.0], "fourier": [29.778468929243456, 30.72391372488735, 30.823193080678283, 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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": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.393982, 0.602761, -0.282507, -0.163517, -0.163069], [-0.102187, -0.152627, -0.190635, 0.05153, -0.104778], [0.101747, -0.572161, 0.325162, -0.445457, 0.187678], [-0.236925, 0.403307, -0.523302, 0.197577, -0.320659], [-0.254973, -0.215594, 0.553883, 0.343922, -0.307954], [-0.226028, -0.199299, -0.210317, -0.269527, -0.141489]], "network.0.bias": [-0.297478, 0.469019, 0.150834, 0.486203, -0.153047, -0.352385], "network.2.weight": [[0.617982, -0.476991, -0.032545, -0.521265, 0.18028, 0.33757], [0.094513, -0.083497, 0.057307, -0.113909, 0.077834, -0.084148], [0.393004, -0.236962, 0.496374, 0.185057, -0.374836, 0.114461], [-0.41313, 0.194417, 0.586645, -0.374986, -0.187955, 0.281876], [-0.28579, 0.57971, -0.158749, -0.198993, 0.001432, -0.112351], [0.150605, -0.526735, -0.356111, -0.400848, 0.496445, 0.247449]], "network.2.bias": [0.322751, 0.262754, -0.120074, -0.395908, -0.334921, 0.621197], "network.4.weight": [[0.575711, 0.161814, -0.398512, -0.359492, -0.238585, 0.621637], [-0.415377, -0.152781, -0.179865, 0.061762, 0.037908, -0.375168], [-0.443737, 0.160644, 0.447318, 0.201529, -0.346693, -0.301395], [-0.372547, 0.067896, 0.159178, 0.396253, 0.014435, -0.110642], [-0.151184, -0.223579, -0.447056, 0.004619, -0.161467, 0.190431], [-0.199024, -0.120709, 0.231891, 0.404204, -0.115126, -0.510603]], "network.4.bias": [-0.051682, 0.322104, 0.32069, 0.3533, -0.351008, 0.304092], "network.6.weight": [[0.4406, -0.453716, -0.517123, -0.270468, 0.172033, -0.489121], [-0.370761, -0.211927, 0.047509, 0.087696, 0.155784, 0.06448], [0.395876, 0.178153, -0.231921, -0.13259, -0.279314, 0.107142], [0.223206, -0.220112, 0.171496, -0.180814, -0.061455, -0.510112], [-0.015712, -0.051884, -0.042588, 0.038041, 0.33821, -0.59638], [-0.630531, 0.322954, 0.50535, 0.305219, -0.275861, -0.090459]], "network.6.bias": [0.204747, 0.166497, -0.149117, -0.020572, 0.119641, 0.406162], "network.8.weight": [[-0.312789, 0.091114, -0.078519, -0.107199, -0.377798, 0.35019]], "network.8.bias": [-0.256087]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6857137680053711, "train_acc": 0.56, "val_loss": 0.673816442489624, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6838089823722839, "train_acc": 0.56, "val_loss": 0.6539154052734375, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6579124331474304, "train_acc": 0.56, "val_loss": 0.6043227910995483, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6271517872810364, "train_acc": 0.61, "val_loss": 0.49879714846611023, "val_acc": 1.0}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5224087238311768, "train_acc": 0.86, "val_loss": 0.3481096029281616, "val_acc": 1.0}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.37471553683280945, "train_acc": 0.925, "val_loss": 0.18244919180870056, "val_acc": 1.0}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.26324009895324707, "train_acc": 0.93, "val_loss": 0.07623697072267532, "val_acc": 1.0}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.17261125147342682, "train_acc": 0.945, "val_loss": 0.057711340487003326, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.14867201820015907, "train_acc": 0.94, "val_loss": 0.06709150969982147, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.08908059448003769, "train_acc": 0.96, "val_loss": 0.03593849018216133, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.07782787829637527, "train_acc": 0.975, "val_loss": 0.006463533267378807, "val_acc": 1.0}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.06564946845173836, "train_acc": 0.98, "val_loss": 0.0019770681392401457, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.17290609329938889, "train_acc": 0.965, "val_loss": 0.0007488409173674881, "val_acc": 1.0}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.673816442489624, "final_val_loss": 0.6043227910995483, "initial_val_acc": 0.58, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.49879714846611023, "final_val_loss": 0.0007488409173674881, "initial_val_acc": 1.0, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 3}, "improvement": 0.4, "first_improvement_epoch": 2}}
|
9,746
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.52, "improved_accuracy": 0.94, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9278, "learning_rate": 0.027582098738689942, "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: 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: [0.393707, 0.804723, 1.974992, 1.466951, -1.939795, -0.229637, 0.652289]
std: [1.178832, 1.257048, 2.127942, 2.208126, 1.524541, 0.676479, 1.312007]
pca: [[0.332765, -0.021174, 0.468662, -0.134813, 0.617958, 0.105181, 0.508002, 0.000000, 0.000000, 0.000000], [0.288948, 0.330005, 0.191313, 0.457739, -0.317584, 0.678518, 0.015295, 0.000000, 0.000000, 0.000000], [-0.426731, 0.713218, -0.064352, 0.180368, 0.020782, -0.269038, 0.446915, 0.000000, 0.000000, 0.000000], [0.669087, 0.451188, 0.077313, -0.161894, -0.127129, -0.470106, -0.281786, 0.000000, 0.000000, 0.000000], [0.380669, -0.340960, -0.419292, 0.397776, -0.212812, -0.258208, 0.541152, 0.000000, 0.000000, 0.000000], [-0.007036, -0.007307, -0.056607, 0.692130, 0.564880, -0.170738, -0.411592, 0.000000, 0.000000, 0.000000], [-0.176185, -0.249179, 0.744733, 0.276204, -0.369184, -0.373290, 0.017644, 0.000000, 0.000000, 0.000000]]
fourier: [[14.927879, 18.599428, 20.563137, 25.495637, 35.433614], [20.712479, 20.947294, 21.750745, 23.863582, 72.425036], [37.389438, 38.212747, 38.254050, 39.739503, 177.749318], [32.056408, 32.309988, 33.828546, 35.110383, 132.025576], [24.092431, 25.335333, 27.051291, 27.778157, 174.581595], [11.529323, 12.199702, 12.790200, 13.486832, 20.667304], [19.889155, 22.898868, 24.047956, 24.369945, 58.706013]]
### 2
mean: [0.503285, -0.039198, -0.064522, 1.234918, -0.730347, 1.133740, -0.171783]
std: [0.727669, 0.703320, 1.588989, 1.634800, 2.317077, 1.601855, 1.499552]
pca: [[0.109883, 0.329623, 0.334567, 0.429219, 0.621024, 0.143063, -0.420681, 0.000000, 0.000000, 0.000000], [-0.073385, 0.347939, 0.709115, -0.115759, -0.280884, -0.516246, 0.109095, 0.000000, 0.000000, 0.000000], [0.391242, 0.397290, -0.274088, 0.570961, -0.165195, -0.096535, 0.501359, 0.000000, 0.000000, 0.000000], [-0.365491, 0.535012, -0.483025, -0.023591, -0.224875, -0.227666, -0.493871, 0.000000, 0.000000, 0.000000], [0.637826, 0.088533, -0.217750, -0.493853, 0.329997, -0.419308, -0.096523, 0.000000, 0.000000, 0.000000], [-0.389449, 0.423897, -0.068291, -0.366981, 0.451596, 0.196962, 0.535321, 0.000000, 0.000000, 0.000000], [0.370667, 0.372402, 0.157176, -0.311852, -0.380444, 0.661256, -0.141316, 0.000000, 0.000000, 0.000000]]
fourier: [[11.550041, 11.692210, 11.730252, 12.021482, 45.295664], [9.934603, 11.197343, 12.739851, 13.299578, 15.459899], [21.217249, 21.793367, 25.718162, 27.110588, 28.918640], [26.447083, 26.611687, 26.615906, 29.410292, 111.142652], [34.682920, 35.578603, 36.367113, 45.117463, 65.731238], [24.866756, 25.680942, 26.079741, 27.123198, 102.036604], [18.856049, 19.911978, 23.101108, 25.337777, 30.821972]]
### 4
mean: [1.848152, 2.083195, 2.044312, -1.525118, 2.042608, 1.633802, 0.019646]
std: [1.738563, 1.780812, 1.855008, 2.165887, 2.228650, 1.828025, 1.182489]
pca: [[-0.361712, 0.257430, 0.325401, -0.484373, -0.006916, -0.204354, 0.648524, 0.000000, 0.000000, 0.000000], [-0.372000, -0.252795, 0.118372, -0.480486, -0.458163, -0.129510, -0.571092, 0.000000, 0.000000, 0.000000], [-0.391886, 0.114353, 0.446574, 0.340434, -0.165903, 0.700199, -0.014902, 0.000000, 0.000000, 0.000000], [0.452971, -0.213859, 0.740458, 0.212273, -0.206863, -0.335674, 0.016569, 0.000000, 0.000000, 0.000000], [-0.447192, -0.550048, 0.158553, 0.166640, 0.637105, -0.192493, -0.040035, 0.000000, 0.000000, 0.000000], [-0.388606, 0.004676, -0.260136, 0.571523, -0.473603, -0.438270, 0.195635, 0.000000, 0.000000, 0.000000], [-0.145010, 0.713049, 0.198963, 0.138395, 0.299200, -0.330720, -0.461409, 0.000000, 0.000000, 0.000000]]
fourier: [[29.928943, 30.601326, 30.663016, 37.442345, 166.333646], [28.718979, 32.140931, 34.223453, 34.786551, 187.487520], [30.351698, 31.068501, 34.388823, 39.929536, 183.988085], [37.664017, 38.588131, 40.110646, 44.311403, 137.260626], [36.690484, 40.012715, 41.510612, 43.962304, 183.834694], [31.467648, 33.210645, 34.987451, 37.573050, 147.042174], [19.841564, 19.862153, 20.049415, 20.757603, 23.696155]]
### 6
mean: [-1.360144, 3.287684, 3.005190, 4.042120, -0.587192, -1.168872, 3.281959]
std: [2.153932, 3.477074, 3.323524, 4.103520, 0.097780, 1.902659, 3.538288]
pca: [[-0.271372, 0.760293, 0.294623, -0.159870, 0.022570, 0.463002, -0.145154, 0.000000, 0.000000, 0.000000], [0.446906, 0.257716, 0.359262, 0.307208, 0.633699, -0.245641, 0.220221, 0.000000, 0.000000, 0.000000], [0.427099, 0.287394, 0.026128, 0.301920, -0.494711, -0.286229, -0.562571, 0.000000, 0.000000, 0.000000], [0.527727, 0.225201, -0.122161, -0.374630, -0.384450, 0.094417, 0.599000, 0.000000, 0.000000, 0.000000], [0.000957, 0.044540, -0.336051, 0.759080, -0.094845, 0.486691, 0.251037, 0.000000, 0.000000, 0.000000], [-0.243909, -0.185577, 0.736580, 0.241585, -0.438084, -0.101585, 0.320811, 0.000000, 0.000000, 0.000000], [0.454125, -0.431049, 0.336217, -0.118307, 0.066797, 0.622303, -0.298674, 0.000000, 0.000000, 0.000000]]
fourier: [[36.109772, 36.388113, 37.071280, 46.938008, 122.412975], [57.177936, 60.620932, 64.590389, 73.556337, 295.891561], [55.212029, 58.373694, 62.410327, 69.712030, 270.467071], [68.353865, 70.576066, 77.066755, 86.409287, 363.790737], [1.515801, 1.530872, 1.590710, 1.662829, 52.847243], [31.904949, 33.272321, 36.261694, 39.149521, 105.198425], [57.453294, 59.302858, 63.379025, 76.873766, 295.376336]]
### 8
mean: [4.686025, -1.134851, 3.757716, 6.295844, -1.190962, 3.602422, 3.921394]
std: [5.318646, 2.281800, 4.250538, 6.513559, 1.897166, 4.087920, 4.611206]
pca: [[0.456993, -0.067046, -0.058762, 0.350892, 0.691687, 0.329343, -0.270530, 0.000000, 0.000000, 0.000000], [-0.194917, 0.753454, 0.542104, -0.083357, 0.118676, 0.186944, -0.210850, 0.000000, 0.000000, 0.000000], [0.365165, -0.140022, 0.533209, 0.413652, -0.267210, -0.514010, -0.236687, 0.000000, 0.000000, 0.000000], [0.559495, 0.490339, -0.438254, -0.324941, -0.071154, -0.359137, -0.121808, 0.000000, 0.000000, 0.000000], [-0.162627, 0.380930, -0.395090, 0.763099, -0.269395, 0.074882, 0.108848, 0.000000, 0.000000, 0.000000], [0.351240, -0.089947, 0.043271, -0.099117, -0.598096, 0.662756, -0.244703, 0.000000, 0.000000, 0.000000], [0.396191, 0.120730, 0.261388, 0.032973, 0.026973, 0.136189, 0.860099, 0.000000, 0.000000, 0.000000]]
fourier: [[88.649539, 90.763302, 97.924612, 113.717570, 421.742224], [37.228657, 38.625254, 43.105412, 47.516633, 102.136582], [70.628796, 72.845009, 78.772121, 90.459426, 338.194464], [108.613354, 111.087797, 118.524927, 140.461621, 566.625974], [31.758431, 32.614069, 35.938725, 39.503153, 107.186561], [68.216081, 69.524063, 75.540053, 87.306718, 324.217949], [76.697704, 79.107634, 84.727267, 98.746715, 352.925502]]
### 10
mean: [-4.512445, 7.763441, 4.906480, -3.329902, 4.226129, 6.402596, 3.251726]
std: [6.104854, 8.871358, 6.029712, 4.190587, 4.973962, 7.456878, 4.053568]
pca: [[-0.373922, -0.024323, 0.468989, 0.342454, 0.566103, -0.350036, 0.281724, 0.000000, 0.000000, 0.000000], [0.543364, 0.185530, 0.064022, 0.414440, 0.463258, 0.493291, -0.191132, 0.000000, 0.000000, 0.000000], [0.369118, 0.594854, 0.499205, -0.362869, -0.153527, -0.130917, 0.297172, 0.000000, 0.000000, 0.000000], [-0.256578, -0.336488, 0.421832, -0.307816, -0.014557, 0.709101, 0.212637, 0.000000, 0.000000, 0.000000], [0.304575, -0.345715, 0.183425, 0.560567, -0.531073, -0.048744, 0.394235, 0.000000, 0.000000, 0.000000], [0.456575, -0.594795, 0.282719, -0.336192, 0.192590, -0.334330, -0.309734, 0.000000, 0.000000, 0.000000], [0.248256, -0.156883, -0.485003, -0.239334, 0.349297, -0.004694, 0.706554, 0.000000, 0.000000, 0.000000]]
fourier: [[102.265413, 104.380187, 111.419205, 131.426909, 406.120124], [148.353683, 151.518973, 161.624908, 191.214531, 698.709589], [100.724078, 103.480511, 108.568328, 130.761328, 441.583219], [70.180646, 72.098164, 75.714068, 90.665641, 299.691220], [83.242710, 84.119547, 91.661132, 106.506221, 380.351651], [124.641970, 126.063160, 137.562616, 159.593944, 576.233574], [67.846811, 69.135228, 74.448693, 86.914324, 292.655344]]
### 12
mean: [-10.763774]
std: [12.944240]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[217.004551, 221.834280, 233.258307, 280.798172, 968.739601]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
-0.142542,
-0.327988,
-0.236453,
-0.290389,
0.179758,
0.447146,
0.125706
],
[
0.280566,
0.162791,
-0.2269,
0.963352,
-0.429792,
-0.594096,
-0.303568
],
[
0.507858,
0.029575,
0.170299,
-0.15357,
0.674693,
0.257432,
0.661297
]
],
"network.6.bias": [
0.311952,
-0.07109,
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-0.011731,
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0.33271,
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"network.8.weight": [
[
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[
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[
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[
-0.29984,
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[
0.137791,
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0.423953,
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-0.5144,
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[
-0.206198,
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-0.132936,
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]
],
"network.8.bias": [
-0.144456,
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-0.218488,
-0.431325
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"network.10.weight": [
[
-0.433777,
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[
0.000258,
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0.59751,
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0.105975,
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0.018508,
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0.576899,
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0.664991,
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"network.12.weight": [
[
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"network.12.bias": [
0.515812
]
}
## Activation Signature
### 0
mean: [0.393707, 0.804723, 1.974992, 1.466951, -1.939795, -0.229637, 0.652289]
std: [1.178832, 1.257048, 2.127942, 2.208126, 1.524541, 0.676479, 1.312007]
pca: [[0.332765, -0.021174, 0.468662, -0.134813, 0.617958, 0.105181, 0.508002, 0.000000, 0.000000, 0.000000], [0.288948, 0.330005, 0.191313, 0.457739, -0.317584, 0.678518, 0.015295, 0.000000, 0.000000, 0.000000], [-0.426731, 0.713218, -0.064352, 0.180368, 0.020782, -0.269038, 0.446915, 0.000000, 0.000000, 0.000000], [0.669087, 0.451188, 0.077313, -0.161894, -0.127129, -0.470106, -0.281786, 0.000000, 0.000000, 0.000000], [0.380669, -0.340960, -0.419292, 0.397776, -0.212812, -0.258208, 0.541152, 0.000000, 0.000000, 0.000000], [-0.007036, -0.007307, -0.056607, 0.692130, 0.564880, -0.170738, -0.411592, 0.000000, 0.000000, 0.000000], [-0.176185, -0.249179, 0.744733, 0.276204, -0.369184, -0.373290, 0.017644, 0.000000, 0.000000, 0.000000]]
fourier: [[14.927879, 18.599428, 20.563137, 25.495637, 35.433614], [20.712479, 20.947294, 21.750745, 23.863582, 72.425036], [37.389438, 38.212747, 38.254050, 39.739503, 177.749318], [32.056408, 32.309988, 33.828546, 35.110383, 132.025576], [24.092431, 25.335333, 27.051291, 27.778157, 174.581595], [11.529323, 12.199702, 12.790200, 13.486832, 20.667304], [19.889155, 22.898868, 24.047956, 24.369945, 58.706013]]
### 2
mean: [0.503285, -0.039198, -0.064522, 1.234918, -0.730347, 1.133740, -0.171783]
std: [0.727669, 0.703320, 1.588989, 1.634800, 2.317077, 1.601855, 1.499552]
pca: [[0.109883, 0.329623, 0.334567, 0.429219, 0.621024, 0.143063, -0.420681, 0.000000, 0.000000, 0.000000], [-0.073385, 0.347939, 0.709115, -0.115759, -0.280884, -0.516246, 0.109095, 0.000000, 0.000000, 0.000000], [0.391242, 0.397290, -0.274088, 0.570961, -0.165195, -0.096535, 0.501359, 0.000000, 0.000000, 0.000000], [-0.365491, 0.535012, -0.483025, -0.023591, -0.224875, -0.227666, -0.493871, 0.000000, 0.000000, 0.000000], [0.637826, 0.088533, -0.217750, -0.493853, 0.329997, -0.419308, -0.096523, 0.000000, 0.000000, 0.000000], [-0.389449, 0.423897, -0.068291, -0.366981, 0.451596, 0.196962, 0.535321, 0.000000, 0.000000, 0.000000], [0.370667, 0.372402, 0.157176, -0.311852, -0.380444, 0.661256, -0.141316, 0.000000, 0.000000, 0.000000]]
fourier: [[11.550041, 11.692210, 11.730252, 12.021482, 45.295664], [9.934603, 11.197343, 12.739851, 13.299578, 15.459899], [21.217249, 21.793367, 25.718162, 27.110588, 28.918640], [26.447083, 26.611687, 26.615906, 29.410292, 111.142652], [34.682920, 35.578603, 36.367113, 45.117463, 65.731238], [24.866756, 25.680942, 26.079741, 27.123198, 102.036604], [18.856049, 19.911978, 23.101108, 25.337777, 30.821972]]
### 4
mean: [1.848152, 2.083195, 2.044312, -1.525118, 2.042608, 1.633802, 0.019646]
std: [1.738563, 1.780812, 1.855008, 2.165887, 2.228650, 1.828025, 1.182489]
pca: [[-0.361712, 0.257430, 0.325401, -0.484373, -0.006916, -0.204354, 0.648524, 0.000000, 0.000000, 0.000000], [-0.372000, -0.252795, 0.118372, -0.480486, -0.458163, -0.129510, -0.571092, 0.000000, 0.000000, 0.000000], [-0.391886, 0.114353, 0.446574, 0.340434, -0.165903, 0.700199, -0.014902, 0.000000, 0.000000, 0.000000], [0.452971, -0.213859, 0.740458, 0.212273, -0.206863, -0.335674, 0.016569, 0.000000, 0.000000, 0.000000], [-0.447192, -0.550048, 0.158553, 0.166640, 0.637105, -0.192493, -0.040035, 0.000000, 0.000000, 0.000000], [-0.388606, 0.004676, -0.260136, 0.571523, -0.473603, -0.438270, 0.195635, 0.000000, 0.000000, 0.000000], [-0.145010, 0.713049, 0.198963, 0.138395, 0.299200, -0.330720, -0.461409, 0.000000, 0.000000, 0.000000]]
fourier: [[29.928943, 30.601326, 30.663016, 37.442345, 166.333646], [28.718979, 32.140931, 34.223453, 34.786551, 187.487520], [30.351698, 31.068501, 34.388823, 39.929536, 183.988085], [37.664017, 38.588131, 40.110646, 44.311403, 137.260626], [36.690484, 40.012715, 41.510612, 43.962304, 183.834694], [31.467648, 33.210645, 34.987451, 37.573050, 147.042174], [19.841564, 19.862153, 20.049415, 20.757603, 23.696155]]
### 6
mean: [-1.360144, 3.287684, 3.005190, 4.042120, -0.587192, -1.168872, 3.281959]
std: [2.153932, 3.477074, 3.323524, 4.103520, 0.097780, 1.902659, 3.538288]
pca: [[-0.271372, 0.760293, 0.294623, -0.159870, 0.022570, 0.463002, -0.145154, 0.000000, 0.000000, 0.000000], [0.446906, 0.257716, 0.359262, 0.307208, 0.633699, -0.245641, 0.220221, 0.000000, 0.000000, 0.000000], [0.427099, 0.287394, 0.026128, 0.301920, -0.494711, -0.286229, -0.562571, 0.000000, 0.000000, 0.000000], [0.527727, 0.225201, -0.122161, -0.374630, -0.384450, 0.094417, 0.599000, 0.000000, 0.000000, 0.000000], [0.000957, 0.044540, -0.336051, 0.759080, -0.094845, 0.486691, 0.251037, 0.000000, 0.000000, 0.000000], [-0.243909, -0.185577, 0.736580, 0.241585, -0.438084, -0.101585, 0.320811, 0.000000, 0.000000, 0.000000], [0.454125, -0.431049, 0.336217, -0.118307, 0.066797, 0.622303, -0.298674, 0.000000, 0.000000, 0.000000]]
fourier: [[36.109772, 36.388113, 37.071280, 46.938008, 122.412975], [57.177936, 60.620932, 64.590389, 73.556337, 295.891561], [55.212029, 58.373694, 62.410327, 69.712030, 270.467071], [68.353865, 70.576066, 77.066755, 86.409287, 363.790737], [1.515801, 1.530872, 1.590710, 1.662829, 52.847243], [31.904949, 33.272321, 36.261694, 39.149521, 105.198425], [57.453294, 59.302858, 63.379025, 76.873766, 295.376336]]
### 8
mean: [4.686025, -1.134851, 3.757716, 6.295844, -1.190962, 3.602422, 3.921394]
std: [5.318646, 2.281800, 4.250538, 6.513559, 1.897166, 4.087920, 4.611206]
pca: [[0.456993, -0.067046, -0.058762, 0.350892, 0.691687, 0.329343, -0.270530, 0.000000, 0.000000, 0.000000], [-0.194917, 0.753454, 0.542104, -0.083357, 0.118676, 0.186944, -0.210850, 0.000000, 0.000000, 0.000000], [0.365165, -0.140022, 0.533209, 0.413652, -0.267210, -0.514010, -0.236687, 0.000000, 0.000000, 0.000000], [0.559495, 0.490339, -0.438254, -0.324941, -0.071154, -0.359137, -0.121808, 0.000000, 0.000000, 0.000000], [-0.162627, 0.380930, -0.395090, 0.763099, -0.269395, 0.074882, 0.108848, 0.000000, 0.000000, 0.000000], [0.351240, -0.089947, 0.043271, -0.099117, -0.598096, 0.662756, -0.244703, 0.000000, 0.000000, 0.000000], [0.396191, 0.120730, 0.261388, 0.032973, 0.026973, 0.136189, 0.860099, 0.000000, 0.000000, 0.000000]]
fourier: [[88.649539, 90.763302, 97.924612, 113.717570, 421.742224], [37.228657, 38.625254, 43.105412, 47.516633, 102.136582], [70.628796, 72.845009, 78.772121, 90.459426, 338.194464], [108.613354, 111.087797, 118.524927, 140.461621, 566.625974], [31.758431, 32.614069, 35.938725, 39.503153, 107.186561], [68.216081, 69.524063, 75.540053, 87.306718, 324.217949], [76.697704, 79.107634, 84.727267, 98.746715, 352.925502]]
### 10
mean: [-4.512445, 7.763441, 4.906480, -3.329902, 4.226129, 6.402596, 3.251726]
std: [6.104854, 8.871358, 6.029712, 4.190587, 4.973962, 7.456878, 4.053568]
pca: [[-0.373922, -0.024323, 0.468989, 0.342454, 0.566103, -0.350036, 0.281724, 0.000000, 0.000000, 0.000000], [0.543364, 0.185530, 0.064022, 0.414440, 0.463258, 0.493291, -0.191132, 0.000000, 0.000000, 0.000000], [0.369118, 0.594854, 0.499205, -0.362869, -0.153527, -0.130917, 0.297172, 0.000000, 0.000000, 0.000000], [-0.256578, -0.336488, 0.421832, -0.307816, -0.014557, 0.709101, 0.212637, 0.000000, 0.000000, 0.000000], [0.304575, -0.345715, 0.183425, 0.560567, -0.531073, -0.048744, 0.394235, 0.000000, 0.000000, 0.000000], [0.456575, -0.594795, 0.282719, -0.336192, 0.192590, -0.334330, -0.309734, 0.000000, 0.000000, 0.000000], [0.248256, -0.156883, -0.485003, -0.239334, 0.349297, -0.004694, 0.706554, 0.000000, 0.000000, 0.000000]]
fourier: [[102.265413, 104.380187, 111.419205, 131.426909, 406.120124], [148.353683, 151.518973, 161.624908, 191.214531, 698.709589], [100.724078, 103.480511, 108.568328, 130.761328, 441.583219], [70.180646, 72.098164, 75.714068, 90.665641, 299.691220], [83.242710, 84.119547, 91.661132, 106.506221, 380.351651], [124.641970, 126.063160, 137.562616, 159.593944, 576.233574], [67.846811, 69.135228, 74.448693, 86.914324, 292.655344]]
### 12
mean: [-10.763774]
std: [12.944240]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[217.004551, 221.834280, 233.258307, 280.798172, 968.739601]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.3937068581581116, "std": 1.1788315773010254, "pca": [0.33276548981666565, -0.021174125373363495, 0.4686620235443115, -0.1348128318786621, 0.6179575324058533, 0.10518068820238113, 0.5080016851425171, 0.0, 0.0, 0.0], "fourier": [14.927879307017804, 18.599427901218046, 20.5631367891719, 25.495637110512277, 35.43361385539174]}, "1": {"mean": 0.8047226071357727, "std": 1.2570476531982422, "pca": [0.28894826769828796, 0.33000463247299194, 0.19131284952163696, 0.4577385187149048, -0.31758376955986023, 0.6785184741020203, 0.01529475674033165, 0.0, 0.0, 0.0], "fourier": [20.712479283406406, 20.94729377563093, 21.750744699239114, 23.863582095711973, 72.42503626644611]}, "2": {"mean": 1.9749923944473267, "std": 2.1279420852661133, "pca": [-0.42673107981681824, 0.7132182717323303, -0.06435209512710571, 0.18036818504333496, 0.020782409235835075, -0.2690383791923523, 0.44691479206085205, 0.0, 0.0, 0.0], "fourier": [37.389438402078596, 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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": [[-0.109564, -0.446274, 0.212644, 0.51914, -0.129815], [-0.189905, -0.249849, 0.317839, 0.228659, 0.443419], [0.53832, 0.475988, 0.125063, -0.250473, 0.595519], [-0.325922, -0.475779, 0.083749, 0.686017, 0.711097], [-0.453165, -0.409769, -0.172086, -0.047448, 0.030598], [0.066533, -0.253047, 0.147626, -0.155531, 0.030956], [-0.070555, 0.075415, 0.493549, -0.01756, -0.590642]], "network.0.bias": [-0.054086, -0.204831, -0.020862, 0.21643, -0.205686, 0.135649, 0.337815], "network.2.weight": [[-0.174862, -0.094541, 0.286504, -0.018649, 0.101398, -0.425513, -0.183836], [0.229051, 0.225534, 0.167166, -0.033196, 0.420486, -0.011351, -0.541736], [-0.605816, -0.10503, 0.491985, -0.277936, 0.442198, -0.398583, 0.139931], [0.17238, 0.430956, 0.086718, 0.502366, 0.212439, -0.224533, -0.406173], [-0.249128, -0.287335, 0.567145, -0.809204, 0.62975, -0.313497, 0.325681], [0.449727, 0.266951, 0.051577, 0.475443, 0.112229, -0.180582, -0.496646], [-0.174328, -0.219394, 0.533928, -0.360664, 0.554901, 0.158355, -0.05604]], "network.2.bias": [0.324196, -0.174657, -0.192087, 0.096956, -0.294184, 0.15875, -0.245839], "network.4.weight": [[0.168529, 0.291738, 0.567418, 0.039018, 0.647166, 0.595822, 0.438951], [0.178927, 0.05127, 0.544628, 0.325933, 0.453668, 0.679823, 0.279312], [0.087754, 0.335873, 0.492671, 0.292819, 0.834505, 0.503535, 0.347352], [-0.804471, -0.676442, -0.717202, -0.1082, -0.306363, -0.58767, -0.515456], [0.180914, 0.036847, 0.085103, 0.665485, 0.647187, 0.700055, 0.611025], [0.470612, 0.175176, 0.52671, 0.485482, 0.418252, 0.332764, 0.400987], [0.143255, 0.3865, 0.316106, -0.201524, 0.424771, 0.025587, 0.359009]], "network.4.bias": [0.225628, 0.203008, 0.241789, 0.485719, -0.271459, -0.220465, -0.38359], "network.6.weight": [[0.079326, -0.162297, 0.160437, 0.417532, -0.339825, -0.484862, -1.041341], [-0.040319, 0.162516, 0.48526, -0.147341, 0.641908, 0.435942, 0.354689], [0.291167, 0.424279, 0.221408, -0.205359, 0.330585, 0.500304, 0.067342], [0.492007, 0.366107, 0.350462, -0.508769, 0.48943, 0.445664, 0.121498], [-0.142542, -0.327988, -0.236453, -0.290389, 0.179758, 0.447146, 0.125706], [0.280566, 0.162791, -0.2269, 0.963352, -0.429792, -0.594096, -0.303568], [0.507858, 0.029575, 0.170299, -0.15357, 0.674693, 0.257432, 0.661297]], "network.6.bias": [0.311952, -0.07109, -0.316726, -0.011731, -0.314292, 0.33271, -0.039269], "network.8.weight": [[-0.140511, 0.520979, 0.218759, 0.399797, 0.523035, -0.475051, 0.302936], [0.684974, 0.002457, -0.152993, -0.172335, -0.451966, 0.468064, -0.250088], [-0.443638, 0.53913, 0.095373, 0.440771, -0.238922, -0.140327, 0.053791], [-0.29984, 0.197841, 0.578524, 0.522071, -0.019077, 0.033824, 0.507717], [0.137791, -0.031225, -0.311972, -0.181355, -0.714458, 0.423953, 0.02292], [-0.5144, 0.186585, 0.190903, 0.520941, 0.068581, -0.024824, 0.176278], [-0.206198, 0.393074, 0.250037, 0.438455, 0.01658, -0.132936, 0.170115]], "network.8.bias": [-0.144456, 0.620366, -0.244578, 0.113575, 0.325661, -0.218488, -0.431325], "network.10.weight": [[-0.433777, 0.361551, -0.202405, 0.201721, 0.387873, -0.282452, -0.671188], [0.000258, -0.365399, 0.507713, 0.33038, -0.37049, 0.463036, 0.575681], [0.59751, -0.27017, -0.069012, 0.092824, 0.219917, 0.155852, 0.43514], [0.105975, 0.189777, -0.225581, 0.127024, 0.008691, -0.561374, -0.519093], [0.018508, -0.23133, 0.22857, 0.314109, -0.564482, 0.308181, 0.104848], [0.576899, -0.636689, 0.527337, 0.395558, -0.404222, -0.075982, -0.065386], [0.145595, -0.20184, 0.440947, -0.056125, -0.44468, 0.056391, 0.325386]], "network.10.bias": [0.664991, -0.141283, -0.578457, 0.337446, -0.122627, -0.083601, -0.184533], "network.12.weight": [[0.598503, -0.37391, -0.710891, 0.27407, -0.275479, -0.434397, -0.230644]], "network.12.bias": [0.515812]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6930902600288391, "train_acc": 0.45, "val_loss": 0.686618447303772, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6738485991954803, "train_acc": 0.57, "val_loss": 0.6542104482650757, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6112705767154694, "train_acc": 0.57, "val_loss": 0.6083835363388062, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5926287770271301, "train_acc": 0.495, "val_loss": 0.5357226729393005, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.499104380607605, "train_acc": 0.495, "val_loss": 0.4462512135505676, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4339538812637329, "train_acc": 0.91, "val_loss": 0.4017951190471649, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.38978247344493866, "train_acc": 0.91, "val_loss": 0.36068490147590637, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.35499274730682373, "train_acc": 0.91, "val_loss": 0.33755654096603394, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.321160152554512, "train_acc": 0.915, "val_loss": 0.3284509778022766, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2778250128030777, "train_acc": 0.92, "val_loss": 0.31187117099761963, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.24475744366645813, "train_acc": 0.94, "val_loss": 0.29229819774627686, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2029905617237091, "train_acc": 0.955, "val_loss": 0.23223352432250977, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.16575945913791656, "train_acc": 0.955, "val_loss": 0.18139739334583282, "val_acc": 0.94}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.686618447303772, "final_val_loss": 0.6083835363388062, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5357226729393005, "final_val_loss": 0.18139739334583282, "initial_val_acc": 0.52, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 12}, "improvement": 0.41999999999999993, "first_improvement_epoch": 2}}
|
9,747
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.74, "improved_accuracy": 0.92, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5186, "learning_rate": 0.07566898532627535, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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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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0.285502
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[
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[
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],
[
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],
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"network.8.weight": [
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"network.10.weight": [
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"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-2.357113, -3.663054, -1.680101, 0.180441, -3.768658, -2.256098, -1.339133]
std: [1.501135, 4.036362, 1.972172, 0.680587, 4.481023, 1.656528, 1.024840]
pca: [[0.114613, 0.709668, -0.042439, -0.075958, -0.225456, 0.163216, -0.631026, 0.000000, 0.000000, 0.000000], [0.616763, -0.204741, -0.306025, 0.611151, 0.209176, 0.156801, -0.205396, 0.000000, 0.000000, 0.000000], [0.278465, -0.227412, -0.513621, -0.598808, -0.257490, 0.414638, 0.100691, 0.000000, 0.000000, 0.000000], [-0.008027, -0.170048, 0.607766, -0.023977, 0.160534, 0.752715, -0.093351, 0.000000, 0.000000, 0.000000], [0.689466, -0.016866, 0.516802, -0.225328, -0.269813, -0.350428, 0.104388, 0.000000, 0.000000, 0.000000], [0.220279, 0.386501, -0.056861, -0.316704, 0.804934, -0.018367, 0.224283, 0.000000, 0.000000, 0.000000], [0.070526, 0.473447, -0.032315, 0.332424, -0.304344, 0.295184, 0.692507, 0.000000, 0.000000, 0.000000]]
fourier: [[27.299610, 27.540187, 28.481173, 29.215701, 212.140179], [64.615146, 65.773339, 70.235128, 72.884375, 329.674860], [31.389708, 33.704547, 34.136251, 37.485125, 151.209091], [10.959674, 10.977652, 11.016904, 11.337992, 16.239733], [72.717315, 75.001414, 75.073720, 81.330741, 339.179189], [26.334077, 28.039933, 29.459125, 33.785017, 203.048828], [17.831116, 18.136539, 18.404673, 21.183524, 120.521951]]
### 2
mean: [0.661352, 0.077988, -0.154605, 0.364673, 0.756246, -0.884763, 0.591956]
std: [0.186954, 0.993644, 0.265748, 0.558809, 0.738017, 0.341980, 0.485508]
pca: [[-0.074306, -0.369888, -0.123972, -0.566464, 0.225773, 0.683053, -0.062258, 0.000000, 0.000000, 0.000000], [0.680483, 0.089730, 0.341274, 0.175332, 0.098436, 0.246581, -0.557845, 0.000000, 0.000000, 0.000000], [-0.168745, 0.231220, 0.219576, -0.399177, 0.686311, -0.432121, -0.229686, 0.000000, 0.000000, 0.000000], [0.361991, -0.444259, 0.446187, 0.014889, 0.235682, -0.128098, 0.632722, 0.000000, 0.000000, 0.000000], [-0.503257, -0.134696, 0.245338, 0.642371, 0.389029, 0.314042, -0.076109, 0.000000, 0.000000, 0.000000], [-0.159306, 0.611090, 0.552044, -0.204804, -0.226400, 0.345198, 0.289957, 0.000000, 0.000000, 0.000000], [-0.305391, -0.461225, 0.505889, -0.185008, -0.458441, -0.227410, -0.376793, 0.000000, 0.000000, 0.000000]]
fourier: [[2.735876, 2.788848, 3.361280, 4.627850, 59.521702], [14.291767, 14.407135, 15.326693, 15.739954, 16.518406], [3.938357, 4.138027, 4.197163, 4.759543, 13.914408], [8.392372, 8.560246, 9.100347, 10.321199, 32.820564], [11.161535, 11.623040, 12.087953, 12.330989, 68.062169], [5.557778, 5.790274, 5.848786, 6.319457, 79.628651], [7.800096, 8.125192, 8.802933, 9.334674, 53.276058]]
### 4
mean: [-0.365659, -1.061606, 1.487750, -0.641165, -0.456265, -0.468564, -1.260786]
std: [0.220165, 0.447834, 0.754064, 0.375117, 0.074106, 1.367988, 0.721708]
pca: [[-0.080541, 0.334598, 0.380128, -0.048066, 0.687484, -0.102802, 0.501545, 0.000000, 0.000000, 0.000000], [-0.203453, 0.552930, -0.048394, 0.639321, 0.129265, 0.038691, -0.472859, 0.000000, 0.000000, 0.000000], [-0.414383, -0.347265, 0.712233, 0.010074, -0.025747, 0.360036, -0.264627, 0.000000, 0.000000, 0.000000], [-0.159320, 0.512354, -0.134203, -0.383346, -0.231842, 0.684932, 0.155767, 0.000000, 0.000000, 0.000000], [0.027307, 0.089624, 0.272868, 0.496424, -0.582653, -0.056777, 0.572381, 0.000000, 0.000000, 0.000000], [0.775313, -0.116372, 0.123986, 0.254418, 0.203148, 0.512153, -0.040933, 0.000000, 0.000000, 0.000000], [0.391366, 0.421471, 0.487899, -0.361577, -0.274754, -0.351642, -0.318230, 0.000000, 0.000000, 0.000000]]
fourier: [[3.446648, 3.690058, 4.177734, 4.446532, 32.909283], [6.103958, 6.914955, 7.798896, 8.302365, 95.544515], [12.244815, 13.433439, 13.629587, 13.632919, 133.897470], [5.211324, 6.022947, 6.400048, 6.937940, 57.704848], [1.018015, 1.021922, 1.322364, 1.755217, 41.063889], [21.368411, 21.965545, 22.340238, 23.809306, 42.170735], [12.003951, 12.658149, 12.831085, 14.633097, 113.470772]]
### 6
mean: [-0.607983, 1.338669, 0.036987, 0.418083, 1.317089, 0.952561, 0.637350]
std: [0.466257, 0.762598, 0.823218, 0.468125, 0.331806, 0.596270, 0.679105]
pca: [[-0.284794, -0.323793, 0.617704, -0.074491, -0.188141, 0.624119, -0.044955, 0.000000, 0.000000, 0.000000], [-0.479497, 0.332449, -0.334567, -0.412984, 0.121087, 0.232000, -0.555502, 0.000000, 0.000000, 0.000000], [0.522985, 0.228965, 0.291362, -0.335007, 0.652730, 0.225533, -0.004352, 0.000000, 0.000000, 0.000000], [0.256695, 0.571360, -0.217163, 0.192769, -0.398392, 0.549439, 0.250473, 0.000000, 0.000000, 0.000000], [-0.135840, 0.601812, 0.610350, 0.020507, -0.217707, -0.426458, -0.130990, 0.000000, 0.000000, 0.000000], [-0.380479, 0.102193, -0.034885, -0.500211, 0.058220, -0.073151, 0.764607, 0.000000, 0.000000, 0.000000], [-0.431686, 0.182039, 0.026644, 0.651056, 0.560698, 0.129172, 0.157662, 0.000000, 0.000000, 0.000000]]
fourier: [[6.666222, 6.995841, 7.163283, 7.308209, 54.718457], [11.901168, 12.110478, 12.912483, 13.322007, 120.480193], [11.700464, 11.915593, 12.022639, 12.027463, 12.670367], [6.873533, 6.945618, 6.986093, 7.319277, 37.627461], [5.601515, 5.722271, 6.032511, 6.164652, 118.537981], [8.727532, 9.036356, 9.611205, 10.054528, 85.730457], [10.180408, 10.388906, 11.132055, 11.636153, 57.361540]]
### 8
mean: [3.328254, -0.678635, -0.626511, -0.804106, -1.238383, 0.242895, 0.653440]
std: [1.450202, 0.744008, 0.131908, 0.232775, 0.270556, 0.274641, 0.638208]
pca: [[0.820841, -0.188864, 0.329245, 0.069008, -0.178270, -0.364889, 0.111631, 0.000000, 0.000000, 0.000000], [-0.414260, -0.337001, 0.152711, 0.632900, 0.080039, -0.452857, 0.281870, 0.000000, 0.000000, 0.000000], [-0.048132, 0.240755, 0.440997, 0.143035, -0.313481, 0.526143, 0.591342, 0.000000, 0.000000, 0.000000], [0.050414, 0.520464, -0.328384, -0.204484, 0.230617, -0.424260, 0.586297, 0.000000, 0.000000, 0.000000], [-0.010420, 0.652653, 0.475353, 0.279714, 0.268994, -0.139857, -0.421685, 0.000000, 0.000000, 0.000000], [-0.138872, -0.295572, 0.525418, -0.524405, 0.564132, -0.012838, 0.154524, 0.000000, 0.000000, 0.000000], [0.361048, -0.092717, -0.252861, 0.423275, 0.647886, 0.430382, 0.113852, 0.000000, 0.000000, 0.000000]]
fourier: [[21.418655, 22.394723, 24.156159, 26.071069, 299.542867], [10.874383, 10.906389, 11.481242, 12.166471, 61.077160], [2.192035, 2.238136, 2.301219, 2.622124, 56.386026], [3.183396, 3.428125, 3.741490, 3.846264, 72.369544], [3.760699, 3.908416, 4.513335, 5.745780, 111.454437], [3.839427, 3.841498, 3.905705, 4.203480, 21.860508], [9.547225, 10.133609, 10.758109, 11.456822, 58.809575]]
### 10
mean: [-4.259609]
std: [1.362013]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.109809, 21.480157, 22.727856, 25.557850, 383.364875]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
[
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],
[
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],
[
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],
[
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],
[
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-0.416672
]
],
"network.0.bias": [
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-0.021098
],
"network.2.weight": [
[
0.122346,
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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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0.100371,
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]
],
"network.2.bias": [
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"network.4.weight": [
[
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[
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[
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[
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[
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[
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"network.6.weight": [
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[
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[
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[
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0.052075
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[
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[
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],
"network.6.bias": [
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"network.8.weight": [
[
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],
[
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[
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[
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]
],
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],
"network.10.weight": [
[
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]
],
"network.10.bias": [
-0.521298
]
}
## Activation Signature
### 0
mean: [-2.357113, -3.663054, -1.680101, 0.180441, -3.768658, -2.256098, -1.339133]
std: [1.501135, 4.036362, 1.972172, 0.680587, 4.481023, 1.656528, 1.024840]
pca: [[0.114613, 0.709668, -0.042439, -0.075958, -0.225456, 0.163216, -0.631026, 0.000000, 0.000000, 0.000000], [0.616763, -0.204741, -0.306025, 0.611151, 0.209176, 0.156801, -0.205396, 0.000000, 0.000000, 0.000000], [0.278465, -0.227412, -0.513621, -0.598808, -0.257490, 0.414638, 0.100691, 0.000000, 0.000000, 0.000000], [-0.008027, -0.170048, 0.607766, -0.023977, 0.160534, 0.752715, -0.093351, 0.000000, 0.000000, 0.000000], [0.689466, -0.016866, 0.516802, -0.225328, -0.269813, -0.350428, 0.104388, 0.000000, 0.000000, 0.000000], [0.220279, 0.386501, -0.056861, -0.316704, 0.804934, -0.018367, 0.224283, 0.000000, 0.000000, 0.000000], [0.070526, 0.473447, -0.032315, 0.332424, -0.304344, 0.295184, 0.692507, 0.000000, 0.000000, 0.000000]]
fourier: [[27.299610, 27.540187, 28.481173, 29.215701, 212.140179], [64.615146, 65.773339, 70.235128, 72.884375, 329.674860], [31.389708, 33.704547, 34.136251, 37.485125, 151.209091], [10.959674, 10.977652, 11.016904, 11.337992, 16.239733], [72.717315, 75.001414, 75.073720, 81.330741, 339.179189], [26.334077, 28.039933, 29.459125, 33.785017, 203.048828], [17.831116, 18.136539, 18.404673, 21.183524, 120.521951]]
### 2
mean: [0.661352, 0.077988, -0.154605, 0.364673, 0.756246, -0.884763, 0.591956]
std: [0.186954, 0.993644, 0.265748, 0.558809, 0.738017, 0.341980, 0.485508]
pca: [[-0.074306, -0.369888, -0.123972, -0.566464, 0.225773, 0.683053, -0.062258, 0.000000, 0.000000, 0.000000], [0.680483, 0.089730, 0.341274, 0.175332, 0.098436, 0.246581, -0.557845, 0.000000, 0.000000, 0.000000], [-0.168745, 0.231220, 0.219576, -0.399177, 0.686311, -0.432121, -0.229686, 0.000000, 0.000000, 0.000000], [0.361991, -0.444259, 0.446187, 0.014889, 0.235682, -0.128098, 0.632722, 0.000000, 0.000000, 0.000000], [-0.503257, -0.134696, 0.245338, 0.642371, 0.389029, 0.314042, -0.076109, 0.000000, 0.000000, 0.000000], [-0.159306, 0.611090, 0.552044, -0.204804, -0.226400, 0.345198, 0.289957, 0.000000, 0.000000, 0.000000], [-0.305391, -0.461225, 0.505889, -0.185008, -0.458441, -0.227410, -0.376793, 0.000000, 0.000000, 0.000000]]
fourier: [[2.735876, 2.788848, 3.361280, 4.627850, 59.521702], [14.291767, 14.407135, 15.326693, 15.739954, 16.518406], [3.938357, 4.138027, 4.197163, 4.759543, 13.914408], [8.392372, 8.560246, 9.100347, 10.321199, 32.820564], [11.161535, 11.623040, 12.087953, 12.330989, 68.062169], [5.557778, 5.790274, 5.848786, 6.319457, 79.628651], [7.800096, 8.125192, 8.802933, 9.334674, 53.276058]]
### 4
mean: [-0.365659, -1.061606, 1.487750, -0.641165, -0.456265, -0.468564, -1.260786]
std: [0.220165, 0.447834, 0.754064, 0.375117, 0.074106, 1.367988, 0.721708]
pca: [[-0.080541, 0.334598, 0.380128, -0.048066, 0.687484, -0.102802, 0.501545, 0.000000, 0.000000, 0.000000], [-0.203453, 0.552930, -0.048394, 0.639321, 0.129265, 0.038691, -0.472859, 0.000000, 0.000000, 0.000000], [-0.414383, -0.347265, 0.712233, 0.010074, -0.025747, 0.360036, -0.264627, 0.000000, 0.000000, 0.000000], [-0.159320, 0.512354, -0.134203, -0.383346, -0.231842, 0.684932, 0.155767, 0.000000, 0.000000, 0.000000], [0.027307, 0.089624, 0.272868, 0.496424, -0.582653, -0.056777, 0.572381, 0.000000, 0.000000, 0.000000], [0.775313, -0.116372, 0.123986, 0.254418, 0.203148, 0.512153, -0.040933, 0.000000, 0.000000, 0.000000], [0.391366, 0.421471, 0.487899, -0.361577, -0.274754, -0.351642, -0.318230, 0.000000, 0.000000, 0.000000]]
fourier: [[3.446648, 3.690058, 4.177734, 4.446532, 32.909283], [6.103958, 6.914955, 7.798896, 8.302365, 95.544515], [12.244815, 13.433439, 13.629587, 13.632919, 133.897470], [5.211324, 6.022947, 6.400048, 6.937940, 57.704848], [1.018015, 1.021922, 1.322364, 1.755217, 41.063889], [21.368411, 21.965545, 22.340238, 23.809306, 42.170735], [12.003951, 12.658149, 12.831085, 14.633097, 113.470772]]
### 6
mean: [-0.607983, 1.338669, 0.036987, 0.418083, 1.317089, 0.952561, 0.637350]
std: [0.466257, 0.762598, 0.823218, 0.468125, 0.331806, 0.596270, 0.679105]
pca: [[-0.284794, -0.323793, 0.617704, -0.074491, -0.188141, 0.624119, -0.044955, 0.000000, 0.000000, 0.000000], [-0.479497, 0.332449, -0.334567, -0.412984, 0.121087, 0.232000, -0.555502, 0.000000, 0.000000, 0.000000], [0.522985, 0.228965, 0.291362, -0.335007, 0.652730, 0.225533, -0.004352, 0.000000, 0.000000, 0.000000], [0.256695, 0.571360, -0.217163, 0.192769, -0.398392, 0.549439, 0.250473, 0.000000, 0.000000, 0.000000], [-0.135840, 0.601812, 0.610350, 0.020507, -0.217707, -0.426458, -0.130990, 0.000000, 0.000000, 0.000000], [-0.380479, 0.102193, -0.034885, -0.500211, 0.058220, -0.073151, 0.764607, 0.000000, 0.000000, 0.000000], [-0.431686, 0.182039, 0.026644, 0.651056, 0.560698, 0.129172, 0.157662, 0.000000, 0.000000, 0.000000]]
fourier: [[6.666222, 6.995841, 7.163283, 7.308209, 54.718457], [11.901168, 12.110478, 12.912483, 13.322007, 120.480193], [11.700464, 11.915593, 12.022639, 12.027463, 12.670367], [6.873533, 6.945618, 6.986093, 7.319277, 37.627461], [5.601515, 5.722271, 6.032511, 6.164652, 118.537981], [8.727532, 9.036356, 9.611205, 10.054528, 85.730457], [10.180408, 10.388906, 11.132055, 11.636153, 57.361540]]
### 8
mean: [3.328254, -0.678635, -0.626511, -0.804106, -1.238383, 0.242895, 0.653440]
std: [1.450202, 0.744008, 0.131908, 0.232775, 0.270556, 0.274641, 0.638208]
pca: [[0.820841, -0.188864, 0.329245, 0.069008, -0.178270, -0.364889, 0.111631, 0.000000, 0.000000, 0.000000], [-0.414260, -0.337001, 0.152711, 0.632900, 0.080039, -0.452857, 0.281870, 0.000000, 0.000000, 0.000000], [-0.048132, 0.240755, 0.440997, 0.143035, -0.313481, 0.526143, 0.591342, 0.000000, 0.000000, 0.000000], [0.050414, 0.520464, -0.328384, -0.204484, 0.230617, -0.424260, 0.586297, 0.000000, 0.000000, 0.000000], [-0.010420, 0.652653, 0.475353, 0.279714, 0.268994, -0.139857, -0.421685, 0.000000, 0.000000, 0.000000], [-0.138872, -0.295572, 0.525418, -0.524405, 0.564132, -0.012838, 0.154524, 0.000000, 0.000000, 0.000000], [0.361048, -0.092717, -0.252861, 0.423275, 0.647886, 0.430382, 0.113852, 0.000000, 0.000000, 0.000000]]
fourier: [[21.418655, 22.394723, 24.156159, 26.071069, 299.542867], [10.874383, 10.906389, 11.481242, 12.166471, 61.077160], [2.192035, 2.238136, 2.301219, 2.622124, 56.386026], [3.183396, 3.428125, 3.741490, 3.846264, 72.369544], [3.760699, 3.908416, 4.513335, 5.745780, 111.454437], [3.839427, 3.841498, 3.905705, 4.203480, 21.860508], [9.547225, 10.133609, 10.758109, 11.456822, 58.809575]]
### 10
mean: [-4.259609]
std: [1.362013]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.109809, 21.480157, 22.727856, 25.557850, 383.364875]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.102511, -0.183621, -0.357613, -0.122189, -0.496548], [-0.746598, -1.668586, -0.350927, 0.334901, 0.459901], [-0.373312, -0.499509, -0.431362, -0.087294, 0.584315], [-0.259209, 0.113469, 0.29868, 0.013983, 0.043165], [-1.333851, -1.385553, -0.291074, -0.009496, 0.414256], [-0.387456, -0.312796, -0.429904, 0.100128, -0.126511], [0.031038, -0.264132, -0.143856, -0.028427, -0.416672]], "network.0.bias": [-0.273497, -0.24576, 0.062292, -0.410886, 0.5335, -0.364612, -0.021098], "network.2.weight": [[0.122346, -0.157521, 0.364898, 0.147415, -0.420807, -0.105422, -0.111233], [0.021912, 0.886912, 0.27651, -0.114209, 0.866107, -0.564332, 0.163779], [0.264625, 0.048296, -0.348418, -0.078801, -0.301428, -0.020993, -0.108241], [-0.215514, 0.356008, 0.534697, 0.247965, 0.260275, 0.020926, 0.285502], [-0.294627, -0.706812, -0.331966, 0.275196, -0.382409, 0.018973, 0.216695], [0.156887, 0.272503, -0.789149, -0.207734, -0.117544, -0.348231, 0.303043], [0.276827, -0.366201, 0.100371, 0.393708, -0.605148, -0.147058, -0.069407]], "network.2.bias": [0.636859, -0.188111, -0.031231, 0.096896, 0.872704, -0.705058, 0.579866], "network.4.weight": [[0.036951, 0.017033, -0.190752, -0.405928, 0.171707, 0.288729, -0.45046], [0.075162, -0.097898, -0.352308, -0.755351, -0.342608, 0.189308, -0.144537], [0.406841, -0.261517, -0.270258, -0.203204, 0.828266, 0.269048, 0.669492], [-0.216345, -0.334844, -0.038266, -0.246975, -0.180208, -0.018028, -0.376347], [-0.340614, 0.118339, 0.223126, -0.228792, -0.246758, -0.271146, 0.238042], [-0.731009, 0.878908, -0.038024, 0.464565, -0.561571, -0.523194, -0.52844], [-1.016684, 0.32555, 0.053987, 0.059574, -0.369048, -0.045943, -0.739744]], "network.4.bias": [-0.104381, -0.426219, 0.225111, 0.073064, -0.119763, 0.436932, 0.095473], "network.6.weight": [[0.095139, 0.006091, -0.189025, -0.316881, -0.225728, -0.502985, 0.162518], [0.457179, 0.366183, 0.595229, 0.301901, -0.259437, -0.357, -0.335094], [0.094618, 0.015624, -0.087748, -0.129033, -0.260824, 0.582799, 0.385852], [-0.304773, -0.510684, 0.411853, -0.208796, -0.199415, 0.484748, 0.052075], [0.265408, 0.073283, 0.601552, -0.35532, -0.354959, -0.058323, 0.310383], [-0.339138, 0.155048, 0.30552, 0.075855, 0.114422, -0.369905, -0.165064], [-0.126639, 0.175553, 0.404655, 0.044485, 0.146581, -0.409963, -0.147581]], "network.6.bias": [-0.192271, 0.535335, -0.00436, -0.348142, 0.38837, 0.589428, 0.131148], "network.8.weight": [[-0.097341, 0.766898, -0.523787, -0.718599, 0.485597, 0.74857, 0.76497], [-0.057737, 0.077841, 0.725861, 0.116757, -0.4027, -0.302197, 0.010235], [0.210901, -0.322827, 0.114686, -0.267054, 0.031181, 0.151844, -0.064446], [-0.14308, -0.407222, -0.515512, 0.156033, -0.000709, -0.189194, -0.102329], [-0.240281, -0.36877, -0.15919, -0.286913, -0.23627, -0.080295, -0.030922], [-0.351495, 0.363477, 0.359358, 0.088171, -0.198752, 0.21112, -0.445992], [0.004257, 0.130175, -0.473973, 0.04074, -0.004708, 0.359211, 0.669579]], "network.8.bias": [0.673737, -0.133985, -0.227062, 0.063545, -0.154867, 0.007094, -0.317332], "network.10.weight": [[-1.083499, 0.362656, 0.026184, 0.018984, 0.361834, 0.338456, -0.19019]], "network.10.bias": [-0.521298]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6859825849533081, "train_acc": 0.56, "val_loss": 0.6770169138908386, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6724012792110443, "train_acc": 0.595, "val_loss": 0.6258791089057922, "val_acc": 0.74}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6756770610809326, "train_acc": 0.735, "val_loss": 0.5714150667190552, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5617132186889648, "train_acc": 0.795, "val_loss": 0.5283764600753784, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4944658875465393, "train_acc": 0.83, "val_loss": 0.4406547546386719, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3905991017818451, "train_acc": 0.89, "val_loss": 0.34286537766456604, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.35559025406837463, "train_acc": 0.875, "val_loss": 0.32483088970184326, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.30966365337371826, "train_acc": 0.91, "val_loss": 0.4791828989982605, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.300049290060997, "train_acc": 0.905, "val_loss": 0.32551804184913635, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2279731184244156, "train_acc": 0.91, "val_loss": 0.2758464813232422, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.24466929584741592, "train_acc": 0.92, "val_loss": 0.2730466425418854, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.21368670463562012, "train_acc": 0.92, "val_loss": 0.26672035455703735, "val_acc": 0.88}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6770169138908386, "final_val_loss": 0.6258791089057922, "initial_val_acc": 0.56, "final_val_acc": 0.74, "best_val_acc": 0.74}, "improved_stage": {"initial_val_loss": 0.5714150667190552, "final_val_loss": 0.26672035455703735, "initial_val_acc": 0.76, "final_val_acc": 0.88, "best_val_acc": 0.92, "best_epoch": 10}, "improvement": 0.18000000000000005, "first_improvement_epoch": 1}}
|
9,748
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.44, "improved_accuracy": 0.8, "improvement": 0.36000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3434, "learning_rate": 0.06816993441376545, "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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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"network.4.weight": [
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"network.8.weight": [
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"network.10.bias": [
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"network.12.weight": [
[
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [0.508469, -1.227687, -0.126763, -3.495042, -2.121326, -2.819525, 1.588431]
std: [1.836751, 1.833665, 1.673522, 2.276165, 1.640496, 1.964206, 2.068818]
pca: [[-0.416527, -0.353679, -0.207219, -0.010114, -0.002172, 0.648955, 0.487060, 0.000000, 0.000000, 0.000000], [0.391752, -0.098298, 0.659286, -0.067303, -0.326229, 0.001203, 0.539679, 0.000000, 0.000000, 0.000000], [0.278482, 0.406072, -0.284104, -0.327780, 0.550103, -0.077235, 0.510706, 0.000000, 0.000000, 0.000000], [0.588809, -0.140904, -0.351896, -0.426961, -0.323026, 0.385599, -0.272566, 0.000000, 0.000000, 0.000000], [0.221716, -0.340234, -0.529572, 0.425187, -0.248890, -0.452304, 0.327607, 0.000000, 0.000000, 0.000000], [0.421205, -0.380135, 0.171833, 0.438202, 0.605441, 0.250612, -0.164835, 0.000000, 0.000000, 0.000000], [0.149050, 0.648258, -0.088789, 0.576912, -0.241052, 0.396004, 0.043697, 0.000000, 0.000000, 0.000000]]
fourier: [[28.084280, 31.539327, 34.246658, 38.644170, 45.762174], [28.277754, 30.915026, 35.123074, 37.061503, 110.491839], [25.856358, 26.497811, 28.440075, 28.784000, 31.650717], [36.101066, 41.800194, 42.371430, 42.930964, 314.553823], [24.754069, 25.010293, 25.888025, 30.615237, 190.919342], [29.000317, 29.821785, 31.703166, 34.316606, 253.757249], [30.651151, 32.880866, 36.549618, 38.841322, 142.958785]]
### 2
mean: [-1.170528, 0.373651, -0.197721, 0.972223, -1.707584, -1.684506, -0.331784]
std: [0.820952, 0.464231, 0.665543, 1.502751, 0.861146, 0.984591, 0.566726]
pca: [[-0.249136, 0.568716, 0.622944, -0.255087, -0.100937, -0.219714, -0.320784, 0.000000, 0.000000, 0.000000], [0.177898, 0.216918, -0.380872, -0.544695, -0.120929, -0.572618, 0.370172, 0.000000, 0.000000, 0.000000], [0.269728, 0.322642, -0.183691, 0.224939, 0.785745, -0.224162, -0.266768, 0.000000, 0.000000, 0.000000], [0.699070, 0.321930, 0.280872, 0.373558, -0.285712, 0.065141, 0.321487, 0.000000, 0.000000, 0.000000], [-0.382867, 0.298202, 0.110815, -0.011539, 0.371775, 0.316189, 0.716857, 0.000000, 0.000000, 0.000000], [-0.436961, 0.311929, -0.361334, 0.621842, -0.324762, -0.298393, 0.002772, 0.000000, 0.000000, 0.000000], [0.085496, 0.485333, -0.459787, -0.247536, -0.180207, 0.616708, -0.267694, 0.000000, 0.000000, 0.000000]]
fourier: [[13.865395, 14.687503, 15.978341, 16.183875, 105.347477], [7.024379, 7.472313, 7.922445, 8.586928, 33.628623], [9.822787, 11.143728, 12.176637, 12.250813, 17.794864], [22.787371, 22.950543, 26.717821, 29.424199, 87.500077], [14.183280, 15.074047, 15.527771, 16.998045, 153.682544], [14.732424, 17.319987, 17.923663, 18.607824, 151.605510], [8.950586, 10.181904, 10.256679, 11.492001, 29.860589]]
### 4
mean: [-0.080490, -0.701581, 0.534395, -0.667857, -0.915621, -0.111285, -0.254446]
std: [0.631918, 0.890805, 0.899971, 0.863124, 0.338323, 0.563725, 0.784865]
pca: [[-0.325584, -0.085325, -0.365889, -0.191251, -0.465343, -0.212474, 0.674221, 0.000000, 0.000000, 0.000000], [-0.458676, -0.242801, 0.429723, -0.069484, 0.624326, -0.214629, 0.324538, 0.000000, 0.000000, 0.000000], [0.462271, -0.421857, 0.550667, 0.031485, -0.381222, -0.387635, 0.092339, 0.000000, 0.000000, 0.000000], [-0.443931, -0.350065, -0.104856, -0.364242, -0.194930, -0.288788, -0.644451, 0.000000, 0.000000, 0.000000], [-0.158512, 0.783169, 0.415074, -0.251890, -0.198257, -0.289495, -0.051699, 0.000000, 0.000000, 0.000000], [-0.290095, 0.078565, -0.066222, 0.859504, -0.109872, -0.375389, -0.116407, 0.000000, 0.000000, 0.000000], [-0.404427, -0.117187, 0.436535, 0.150784, -0.398707, 0.671123, 0.005855, 0.000000, 0.000000, 0.000000]]
fourier: [[8.908058, 9.345963, 9.962245, 10.723571, 12.858595], [13.531683, 13.536278, 15.614762, 18.121084, 63.142303], [13.971099, 14.091414, 14.304040, 18.045924, 48.095590], [12.781775, 13.615186, 15.154190, 17.591167, 60.107175], [5.566447, 5.572975, 6.199078, 6.662270, 82.405899], [8.507125, 8.749216, 9.473677, 10.015612, 11.508732], [11.660316, 12.126732, 13.606011, 15.954249, 22.900157]]
### 6
mean: [-0.660882, -0.302736, -0.501431, 0.199561, 0.090943, 0.128661, -0.007858]
std: [0.324734, 0.406871, 0.379700, 0.573038, 0.565572, 0.488702, 0.289291]
pca: [[-0.086952, 0.924680, -0.238948, -0.083274, -0.239907, -0.121525, 0.032439, 0.000000, 0.000000, 0.000000], [0.359917, 0.071419, -0.234696, -0.236998, 0.699167, -0.376726, 0.351214, 0.000000, 0.000000, 0.000000], [-0.329966, 0.216489, 0.630542, -0.464646, 0.331882, 0.333058, 0.098499, 0.000000, 0.000000, 0.000000], [0.506664, 0.118254, 0.078569, 0.254616, -0.118234, 0.587671, 0.546780, 0.000000, 0.000000, 0.000000], [-0.501093, 0.005621, -0.539272, 0.259310, 0.413826, 0.468543, 0.005753, 0.000000, 0.000000, 0.000000], [-0.427017, -0.244099, -0.154039, -0.254456, -0.352873, -0.187323, 0.714134, 0.000000, 0.000000, 0.000000], [-0.252736, 0.139280, 0.411732, 0.724004, 0.183611, -0.363869, 0.238550, 0.000000, 0.000000, 0.000000]]
fourier: [[4.444759, 5.301231, 5.302521, 6.346307, 59.479378], [5.979635, 6.044509, 7.051722, 8.333533, 27.246263], [5.500576, 6.175176, 6.408297, 7.187775, 45.128749], [8.299750, 8.404231, 9.992144, 11.876854, 17.960516], [8.214736, 8.496632, 8.583623, 9.296519, 11.646553], [7.186759, 7.406298, 9.071648, 10.230051, 11.579522], [4.152186, 4.208839, 4.714319, 4.824643, 5.559473]]
### 8
mean: [-0.345370, -0.343192, -0.496842, -0.745543, -0.233127, -0.338709, 0.222870]
std: [0.238138, 0.493503, 0.326698, 0.152389, 0.113656, 0.493646, 0.301235]
pca: [[0.269717, 0.309938, -0.272214, -0.159850, -0.265981, 0.568274, 0.581255, 0.000000, 0.000000, 0.000000], [0.561830, -0.221804, -0.192203, -0.029396, -0.528923, -0.559813, 0.064748, 0.000000, 0.000000, 0.000000], [0.371367, 0.225202, -0.425726, 0.569101, 0.130156, 0.220017, -0.490819, 0.000000, 0.000000, 0.000000], [0.161352, 0.679009, 0.602987, 0.277459, -0.091467, -0.230140, 0.104905, 0.000000, 0.000000, 0.000000], [0.127881, 0.189509, -0.346528, -0.065680, 0.691714, -0.431836, 0.397979, 0.000000, 0.000000, 0.000000], [0.560511, -0.481827, 0.468017, 0.119004, 0.355449, 0.267947, 0.149428, 0.000000, 0.000000, 0.000000], [-0.342236, -0.273682, -0.070709, 0.744479, -0.139195, -0.063434, 0.474684, 0.000000, 0.000000, 0.000000]]
fourier: [[3.345978, 3.472495, 4.437540, 5.079245, 31.083261], [7.135854, 7.173619, 8.641123, 10.275127, 30.887314], [4.649110, 4.689843, 5.915179, 6.913558, 44.715776], [2.168048, 2.418429, 3.059480, 3.216283, 67.098871], [1.589318, 1.603229, 2.097671, 2.444030, 20.981386], [7.325447, 7.343449, 8.573717, 10.085194, 30.483798], [4.313309, 4.482691, 5.647842, 6.371401, 20.058277]]
### 10
mean: [-0.361265, -0.264304, 0.428319, 0.145128, -0.225579, 0.502642, 0.325593]
std: [0.051617, 0.080175, 0.127147, 0.219863, 0.097435, 0.176045, 0.186669]
pca: [[-0.134076, -0.077411, -0.423642, -0.026101, -0.116998, -0.134852, 0.874073, 0.000000, 0.000000, 0.000000], [-0.170719, 0.714346, 0.095868, -0.598705, -0.303631, -0.014720, 0.022752, 0.000000, 0.000000, 0.000000], [-0.333443, -0.111582, -0.513643, 0.090795, -0.425801, -0.480422, -0.438383, 0.000000, 0.000000, 0.000000], [0.571680, 0.518089, -0.033821, 0.493305, -0.062250, -0.390362, 0.063356, 0.000000, 0.000000, 0.000000], [-0.252442, -0.193641, 0.738498, 0.158120, -0.358019, -0.401822, 0.196867, 0.000000, 0.000000, 0.000000], [-0.461537, 0.237601, 0.027946, 0.052240, 0.744533, -0.415558, 0.000898, 0.000000, 0.000000, 0.000000], [-0.487988, 0.329998, -0.014255, 0.601287, -0.162576, 0.514063, 0.022966, 0.000000, 0.000000, 0.000000]]
fourier: [[0.764787, 0.881475, 0.881957, 0.919667, 32.513878], [1.114488, 1.219191, 1.621268, 1.692100, 23.787364], [1.868045, 2.130922, 2.151675, 2.313209, 38.548703], [3.274767, 3.673694, 3.718078, 3.749633, 13.061485], [1.475331, 1.559279, 1.625066, 1.630908, 20.302154], [2.648697, 2.790073, 2.830318, 3.426215, 45.237794], [2.864532, 2.933013, 2.973306, 3.671533, 29.303400]]
### 12
mean: [-0.306876]
std: [0.128247]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.900024, 2.097127, 2.129564, 2.400464, 27.618848]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 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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-0.343681,
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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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-0.315854,
0.146065
]
],
"network.2.bias": [
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],
"network.4.weight": [
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[
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0.004952,
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],
[
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0.598098,
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-0.047848
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[
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[
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[
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[
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"network.6.weight": [
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[
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[
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[
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"network.6.bias": [
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"network.8.weight": [
[
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[
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[
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]
],
"network.8.bias": [
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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: [0.508469, -1.227687, -0.126763, -3.495042, -2.121326, -2.819525, 1.588431]
std: [1.836751, 1.833665, 1.673522, 2.276165, 1.640496, 1.964206, 2.068818]
pca: [[-0.416527, -0.353679, -0.207219, -0.010114, -0.002172, 0.648955, 0.487060, 0.000000, 0.000000, 0.000000], [0.391752, -0.098298, 0.659286, -0.067303, -0.326229, 0.001203, 0.539679, 0.000000, 0.000000, 0.000000], [0.278482, 0.406072, -0.284104, -0.327780, 0.550103, -0.077235, 0.510706, 0.000000, 0.000000, 0.000000], [0.588809, -0.140904, -0.351896, -0.426961, -0.323026, 0.385599, -0.272566, 0.000000, 0.000000, 0.000000], [0.221716, -0.340234, -0.529572, 0.425187, -0.248890, -0.452304, 0.327607, 0.000000, 0.000000, 0.000000], [0.421205, -0.380135, 0.171833, 0.438202, 0.605441, 0.250612, -0.164835, 0.000000, 0.000000, 0.000000], [0.149050, 0.648258, -0.088789, 0.576912, -0.241052, 0.396004, 0.043697, 0.000000, 0.000000, 0.000000]]
fourier: [[28.084280, 31.539327, 34.246658, 38.644170, 45.762174], [28.277754, 30.915026, 35.123074, 37.061503, 110.491839], [25.856358, 26.497811, 28.440075, 28.784000, 31.650717], [36.101066, 41.800194, 42.371430, 42.930964, 314.553823], [24.754069, 25.010293, 25.888025, 30.615237, 190.919342], [29.000317, 29.821785, 31.703166, 34.316606, 253.757249], [30.651151, 32.880866, 36.549618, 38.841322, 142.958785]]
### 2
mean: [-1.170528, 0.373651, -0.197721, 0.972223, -1.707584, -1.684506, -0.331784]
std: [0.820952, 0.464231, 0.665543, 1.502751, 0.861146, 0.984591, 0.566726]
pca: [[-0.249136, 0.568716, 0.622944, -0.255087, -0.100937, -0.219714, -0.320784, 0.000000, 0.000000, 0.000000], [0.177898, 0.216918, -0.380872, -0.544695, -0.120929, -0.572618, 0.370172, 0.000000, 0.000000, 0.000000], [0.269728, 0.322642, -0.183691, 0.224939, 0.785745, -0.224162, -0.266768, 0.000000, 0.000000, 0.000000], [0.699070, 0.321930, 0.280872, 0.373558, -0.285712, 0.065141, 0.321487, 0.000000, 0.000000, 0.000000], [-0.382867, 0.298202, 0.110815, -0.011539, 0.371775, 0.316189, 0.716857, 0.000000, 0.000000, 0.000000], [-0.436961, 0.311929, -0.361334, 0.621842, -0.324762, -0.298393, 0.002772, 0.000000, 0.000000, 0.000000], [0.085496, 0.485333, -0.459787, -0.247536, -0.180207, 0.616708, -0.267694, 0.000000, 0.000000, 0.000000]]
fourier: [[13.865395, 14.687503, 15.978341, 16.183875, 105.347477], [7.024379, 7.472313, 7.922445, 8.586928, 33.628623], [9.822787, 11.143728, 12.176637, 12.250813, 17.794864], [22.787371, 22.950543, 26.717821, 29.424199, 87.500077], [14.183280, 15.074047, 15.527771, 16.998045, 153.682544], [14.732424, 17.319987, 17.923663, 18.607824, 151.605510], [8.950586, 10.181904, 10.256679, 11.492001, 29.860589]]
### 4
mean: [-0.080490, -0.701581, 0.534395, -0.667857, -0.915621, -0.111285, -0.254446]
std: [0.631918, 0.890805, 0.899971, 0.863124, 0.338323, 0.563725, 0.784865]
pca: [[-0.325584, -0.085325, -0.365889, -0.191251, -0.465343, -0.212474, 0.674221, 0.000000, 0.000000, 0.000000], [-0.458676, -0.242801, 0.429723, -0.069484, 0.624326, -0.214629, 0.324538, 0.000000, 0.000000, 0.000000], [0.462271, -0.421857, 0.550667, 0.031485, -0.381222, -0.387635, 0.092339, 0.000000, 0.000000, 0.000000], [-0.443931, -0.350065, -0.104856, -0.364242, -0.194930, -0.288788, -0.644451, 0.000000, 0.000000, 0.000000], [-0.158512, 0.783169, 0.415074, -0.251890, -0.198257, -0.289495, -0.051699, 0.000000, 0.000000, 0.000000], [-0.290095, 0.078565, -0.066222, 0.859504, -0.109872, -0.375389, -0.116407, 0.000000, 0.000000, 0.000000], [-0.404427, -0.117187, 0.436535, 0.150784, -0.398707, 0.671123, 0.005855, 0.000000, 0.000000, 0.000000]]
fourier: [[8.908058, 9.345963, 9.962245, 10.723571, 12.858595], [13.531683, 13.536278, 15.614762, 18.121084, 63.142303], [13.971099, 14.091414, 14.304040, 18.045924, 48.095590], [12.781775, 13.615186, 15.154190, 17.591167, 60.107175], [5.566447, 5.572975, 6.199078, 6.662270, 82.405899], [8.507125, 8.749216, 9.473677, 10.015612, 11.508732], [11.660316, 12.126732, 13.606011, 15.954249, 22.900157]]
### 6
mean: [-0.660882, -0.302736, -0.501431, 0.199561, 0.090943, 0.128661, -0.007858]
std: [0.324734, 0.406871, 0.379700, 0.573038, 0.565572, 0.488702, 0.289291]
pca: [[-0.086952, 0.924680, -0.238948, -0.083274, -0.239907, -0.121525, 0.032439, 0.000000, 0.000000, 0.000000], [0.359917, 0.071419, -0.234696, -0.236998, 0.699167, -0.376726, 0.351214, 0.000000, 0.000000, 0.000000], [-0.329966, 0.216489, 0.630542, -0.464646, 0.331882, 0.333058, 0.098499, 0.000000, 0.000000, 0.000000], [0.506664, 0.118254, 0.078569, 0.254616, -0.118234, 0.587671, 0.546780, 0.000000, 0.000000, 0.000000], [-0.501093, 0.005621, -0.539272, 0.259310, 0.413826, 0.468543, 0.005753, 0.000000, 0.000000, 0.000000], [-0.427017, -0.244099, -0.154039, -0.254456, -0.352873, -0.187323, 0.714134, 0.000000, 0.000000, 0.000000], [-0.252736, 0.139280, 0.411732, 0.724004, 0.183611, -0.363869, 0.238550, 0.000000, 0.000000, 0.000000]]
fourier: [[4.444759, 5.301231, 5.302521, 6.346307, 59.479378], [5.979635, 6.044509, 7.051722, 8.333533, 27.246263], [5.500576, 6.175176, 6.408297, 7.187775, 45.128749], [8.299750, 8.404231, 9.992144, 11.876854, 17.960516], [8.214736, 8.496632, 8.583623, 9.296519, 11.646553], [7.186759, 7.406298, 9.071648, 10.230051, 11.579522], [4.152186, 4.208839, 4.714319, 4.824643, 5.559473]]
### 8
mean: [-0.345370, -0.343192, -0.496842, -0.745543, -0.233127, -0.338709, 0.222870]
std: [0.238138, 0.493503, 0.326698, 0.152389, 0.113656, 0.493646, 0.301235]
pca: [[0.269717, 0.309938, -0.272214, -0.159850, -0.265981, 0.568274, 0.581255, 0.000000, 0.000000, 0.000000], [0.561830, -0.221804, -0.192203, -0.029396, -0.528923, -0.559813, 0.064748, 0.000000, 0.000000, 0.000000], [0.371367, 0.225202, -0.425726, 0.569101, 0.130156, 0.220017, -0.490819, 0.000000, 0.000000, 0.000000], [0.161352, 0.679009, 0.602987, 0.277459, -0.091467, -0.230140, 0.104905, 0.000000, 0.000000, 0.000000], [0.127881, 0.189509, -0.346528, -0.065680, 0.691714, -0.431836, 0.397979, 0.000000, 0.000000, 0.000000], [0.560511, -0.481827, 0.468017, 0.119004, 0.355449, 0.267947, 0.149428, 0.000000, 0.000000, 0.000000], [-0.342236, -0.273682, -0.070709, 0.744479, -0.139195, -0.063434, 0.474684, 0.000000, 0.000000, 0.000000]]
fourier: [[3.345978, 3.472495, 4.437540, 5.079245, 31.083261], [7.135854, 7.173619, 8.641123, 10.275127, 30.887314], [4.649110, 4.689843, 5.915179, 6.913558, 44.715776], [2.168048, 2.418429, 3.059480, 3.216283, 67.098871], [1.589318, 1.603229, 2.097671, 2.444030, 20.981386], [7.325447, 7.343449, 8.573717, 10.085194, 30.483798], [4.313309, 4.482691, 5.647842, 6.371401, 20.058277]]
### 10
mean: [-0.361265, -0.264304, 0.428319, 0.145128, -0.225579, 0.502642, 0.325593]
std: [0.051617, 0.080175, 0.127147, 0.219863, 0.097435, 0.176045, 0.186669]
pca: [[-0.134076, -0.077411, -0.423642, -0.026101, -0.116998, -0.134852, 0.874073, 0.000000, 0.000000, 0.000000], [-0.170719, 0.714346, 0.095868, -0.598705, -0.303631, -0.014720, 0.022752, 0.000000, 0.000000, 0.000000], [-0.333443, -0.111582, -0.513643, 0.090795, -0.425801, -0.480422, -0.438383, 0.000000, 0.000000, 0.000000], [0.571680, 0.518089, -0.033821, 0.493305, -0.062250, -0.390362, 0.063356, 0.000000, 0.000000, 0.000000], [-0.252442, -0.193641, 0.738498, 0.158120, -0.358019, -0.401822, 0.196867, 0.000000, 0.000000, 0.000000], [-0.461537, 0.237601, 0.027946, 0.052240, 0.744533, -0.415558, 0.000898, 0.000000, 0.000000, 0.000000], [-0.487988, 0.329998, -0.014255, 0.601287, -0.162576, 0.514063, 0.022966, 0.000000, 0.000000, 0.000000]]
fourier: [[0.764787, 0.881475, 0.881957, 0.919667, 32.513878], [1.114488, 1.219191, 1.621268, 1.692100, 23.787364], [1.868045, 2.130922, 2.151675, 2.313209, 38.548703], [3.274767, 3.673694, 3.718078, 3.749633, 13.061485], [1.475331, 1.559279, 1.625066, 1.630908, 20.302154], [2.648697, 2.790073, 2.830318, 3.426215, 45.237794], [2.864532, 2.933013, 2.973306, 3.671533, 29.303400]]
### 12
mean: [-0.306876]
std: [0.128247]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.900024, 2.097127, 2.129564, 2.400464, 27.618848]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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"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": [[0.794007, -0.06322, 0.192375, -0.171755, -0.459309], [-0.291221, 0.153024, -0.859222, 0.055101, 0.189122], [-0.800991, -0.151483, 0.358392, 0.112432, 0.186695], [-0.771163, -0.157244, -0.343681, -0.558008, 0.162882], [0.012207, -0.223136, -0.195209, -0.666871, 0.295084], [0.023167, -0.296345, -0.846679, -0.307379, 0.35446], [-0.706339, 0.159384, 0.404766, 0.279419, 0.742646]], "network.0.bias": [0.168523, 0.299286, -0.073941, -0.535197, -0.256015, -0.317742, -0.183643], "network.2.weight": [[-0.456991, 0.498234, -0.067642, 0.218836, -0.458719, 0.453633, -0.417741], [-0.14261, 0.014272, -0.31562, 0.64783, 0.143084, -0.087274, 0.265989], [-0.217485, -0.236854, -0.160273, -0.723574, -0.09225, -0.336293, 0.335212], [-0.206815, -0.24231, 0.277763, -0.080687, -0.055631, -0.2843, 0.706183], [-0.256916, 0.223656, -0.22352, -0.105868, -0.237744, 0.078226, -0.459041], [-0.317505, -0.216385, -0.395424, 0.377075, 0.152278, -0.0353, -0.477133], [-0.370136, -0.062535, -0.456093, 0.534321, 0.422907, -0.315854, 0.146065]], "network.2.bias": [-0.094465, 0.198494, -0.540668, -0.203369, -0.627909, -0.344298, -0.027798], "network.4.weight": [[-0.457137, -0.172259, -0.269627, -0.356054, -0.14748, -0.496949, 0.007332], [-0.069675, -0.192896, 0.004952, -0.607035, -0.333604, -0.169657, -0.220585], [0.509117, -0.282777, 0.626361, 0.598098, -0.098467, 0.339446, -0.047848], [-0.443626, -0.347135, -0.117056, -0.513928, -0.367274, -0.415143, -0.202787], [0.509338, 0.361027, -0.634424, -0.225708, 0.394289, 0.526439, 0.853214], [-0.245731, 0.004917, -0.143541, -0.356181, -0.727373, -0.39641, 0.077432], [0.156236, -0.255188, -0.181594, -0.466085, -0.339341, -0.573499, 0.204053]], "network.4.bias": [0.276173, -0.044532, 0.005927, -0.113279, -0.592053, 0.163948, 0.279784], "network.6.weight": [[-0.504298, -0.670997, -0.447768, -0.368961, 0.738919, -0.697571, -0.28474], [0.133959, -0.146273, 0.393886, -0.275571, 0.314607, -0.258927, -0.283753], [0.004384, 0.04628, -0.484181, 0.196204, -0.084059, -0.488757, 0.185093], [-0.393423, -0.280168, 0.54489, -0.136774, -0.00956, -0.007037, -0.275255], [0.386701, 0.074724, -0.535731, -0.03157, -0.576691, 0.19052, 0.10618], [0.346662, 0.246661, -0.404781, 0.127703, 0.019664, 0.117059, 0.41831], [-0.280297, 0.17398, -0.344005, 0.321777, -0.538559, 0.338119, -0.239558]], "network.6.bias": [-0.268469, -0.459617, -0.238431, -0.053265, 0.232012, 0.297952, 0.133047], "network.8.weight": [[-0.169451, -0.018865, -0.018843, 0.257692, -0.41609, -0.109416, -0.146222], [-0.043926, 0.375499, 0.214378, 0.497327, -0.34137, -0.420256, -0.466559], [-0.135106, -0.171575, 0.462946, 0.432874, -0.395292, -0.198854, -0.464172], [0.418208, 0.127751, 0.24181, -0.145408, 0.008711, -0.439622, -0.86994], [-0.120486, -0.103293, 0.007675, 0.164808, -0.346476, 0.092154, -0.06162], [0.390477, 0.540501, 0.704462, 0.418928, -0.075166, -0.659704, -0.565421], [-0.00791, -0.346814, 0.131449, -0.153828, 0.477417, 0.215725, 0.190717]], "network.8.bias": [-0.34306, -0.277727, -0.457326, -0.524306, -0.249901, -0.123815, 0.137593], "network.10.weight": [[-0.228867, -0.25991, -0.15478, -0.03459, -0.02208, 0.125144, -0.053228], [-0.3154, 0.103227, 0.008152, 0.350835, -0.339264, -0.017938, 0.338731], [-0.262374, -0.451123, -0.333846, -0.05095, 0.143166, 0.091016, 0.029992], [0.122961, 0.435207, -0.066946, -0.158065, -0.011123, 0.465494, -0.018988], [0.500195, -0.019357, 0.263531, -0.073737, 0.019682, -0.500753, 0.185831], [-0.02407, -0.27482, -0.088451, -0.20428, -0.209852, -0.201779, 0.310271], [-0.035874, -0.044302, -0.395948, -0.025203, -0.367254, -0.314659, 0.337272]], "network.10.bias": [-0.408418, -0.321869, 0.34542, 0.163196, -0.203649, 0.366064, 0.166815], "network.12.weight": [[-0.006288, 0.192823, -0.277973, 0.264003, 0.053077, -0.318675, -0.184108]], "network.12.bias": [-0.073722]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.682293027639389, "train_acc": 0.6, "val_loss": 0.7359762787818909, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6697795689105988, "train_acc": 0.6, "val_loss": 0.7248994708061218, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6754587888717651, "train_acc": 0.6, "val_loss": 0.7056453227996826, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6563034653663635, "train_acc": 0.6, "val_loss": 0.6551365852355957, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.7528772354125977, "train_acc": 0.515, "val_loss": 0.7145552039146423, "val_acc": 0.44}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6316581070423126, "train_acc": 0.63, "val_loss": 0.5988710522651672, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.6445780992507935, "train_acc": 0.625, "val_loss": 0.6066750288009644, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.6486146152019501, "train_acc": 0.62, "val_loss": 0.6167458891868591, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.6272864937782288, "train_acc": 0.73, "val_loss": 0.6151807308197021, "val_acc": 0.8}], "summary": {"total_epochs": 9, "degraded_epochs": 4, "improved_epochs": 5, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7359762787818909, "final_val_loss": 0.6551365852355957, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.7145552039146423, "final_val_loss": 0.6151807308197021, "initial_val_acc": 0.44, "final_val_acc": 0.8, "best_val_acc": 0.8, "best_epoch": 8}, "improvement": 0.36000000000000004, "first_improvement_epoch": 3}}
|
9,749
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.38, "improved_accuracy": 0.78, "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": 1531, "learning_rate": 0.09288037177441473, "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: 8
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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## Activation Signature
### 0
mean: [-1.138396, 1.372373, 1.587869, 2.171365, 2.424313, -0.278141, 0.059740, -0.903711]
std: [1.272856, 1.844331, 2.249501, 2.991393, 1.862322, 1.424376, 1.726905, 1.736009]
pca: [[-0.230809, -0.190363, -0.133493, 0.460234, 0.206427, 0.322827, 0.682613, 0.260891, 0.000000, 0.000000], [-0.290809, 0.126240, 0.587056, 0.282930, -0.182214, -0.144809, -0.245002, 0.600510, 0.000000, 0.000000], [0.512089, 0.236162, -0.060122, 0.218913, -0.117264, 0.710365, -0.286828, 0.172672, 0.000000, 0.000000], [0.687104, -0.174447, 0.126874, 0.449470, 0.136044, -0.500319, 0.102435, -0.003959, 0.000000, 0.000000], [0.136242, 0.413370, 0.641699, -0.245587, 0.353407, 0.157314, 0.362647, -0.239408, 0.000000, 0.000000], [-0.134433, 0.456766, -0.032846, 0.415841, -0.592313, -0.096839, 0.191927, -0.449713, 0.000000, 0.000000], [0.205017, 0.502481, -0.350484, -0.337416, -0.128821, -0.257776, 0.327599, 0.527662, 0.000000, 0.000000], [-0.221685, 0.479191, -0.286598, 0.333323, 0.632139, -0.138930, -0.324932, -0.059219, 0.000000, 0.000000]]
fourier: [[18.275869, 20.520371, 21.714818, 24.258459, 102.455652], [27.799587, 29.052628, 29.164565, 31.082411, 123.513615], [34.687517, 36.579850, 37.418823, 40.326382, 142.908174], [46.006338, 47.245007, 55.501904, 57.883566, 195.422815], [28.528646, 31.798598, 33.519730, 33.587955, 218.188178], [22.536758, 22.957169, 23.471047, 25.032656, 26.145167], [22.674392, 23.933131, 24.202513, 25.359151, 40.947188], [26.094862, 27.477115, 27.969672, 35.425640, 81.333960]]
### 2
mean: [3.109796, -2.539836, -1.839657, -4.173284, 1.562230, -3.788517, 2.323369, -4.125556]
std: [3.882469, 1.833215, 1.201372, 2.401751, 1.928497, 2.256263, 1.759887, 2.348991]
pca: [[0.593687, 0.636534, -0.395838, 0.076079, 0.038640, 0.238057, -0.137462, -0.053146, 0.000000, 0.000000], [-0.295581, -0.063402, -0.107530, 0.541212, 0.035426, 0.721886, 0.282812, 0.042205, 0.000000, 0.000000], [-0.183891, 0.190074, -0.103051, -0.014444, -0.540269, -0.030583, -0.131844, 0.780397, 0.000000, 0.000000], [-0.357523, 0.420922, 0.381447, 0.385121, -0.040776, -0.101664, -0.568232, -0.257482, 0.000000, 0.000000], [0.272408, 0.264242, 0.794377, -0.122586, 0.097941, 0.198716, 0.326277, 0.233174, 0.000000, 0.000000], [-0.363574, 0.159445, -0.115076, -0.459003, 0.650104, 0.243807, -0.253457, 0.268603, 0.000000, 0.000000], [0.272920, -0.214110, 0.006295, 0.561664, 0.497938, -0.329881, -0.121072, 0.439026, 0.000000, 0.000000], [-0.343006, 0.486222, -0.176949, 0.107692, 0.153392, -0.450762, 0.612777, -0.028569, 0.000000, 0.000000]]
fourier: [[61.317856, 63.404015, 68.287857, 70.790419, 279.881591], [31.176152, 31.961967, 35.141642, 36.025649, 228.585230], [19.369860, 20.080789, 22.773354, 25.485068, 165.569142], [37.009104, 41.000279, 42.286645, 51.317541, 375.595595], [28.998049, 32.408737, 35.352441, 36.209801, 140.600696], [32.074047, 39.779990, 42.555912, 48.017190, 340.966510], [26.588467, 29.232442, 33.294904, 36.113444, 209.103180], [36.253665, 42.363460, 48.040892, 48.825132, 371.300066]]
### 4
mean: [4.052226, 3.638216, -2.448362, 2.552371, -2.895928, -1.311912, 3.531900, -3.891268]
std: [4.088942, 3.358880, 2.629633, 3.491891, 2.230400, 1.025187, 3.674627, 3.484535]
pca: [[0.464019, -0.028386, -0.040175, -0.565955, -0.067632, 0.188065, 0.447785, -0.470646, 0.000000, 0.000000], [0.378909, -0.269727, 0.640395, -0.026424, 0.367676, 0.344963, -0.148110, 0.311045, 0.000000, 0.000000], [-0.292560, -0.523632, 0.045726, 0.403029, -0.056861, 0.224311, 0.649030, -0.030100, 0.000000, 0.000000], [0.391192, 0.562569, 0.067500, 0.640917, -0.063155, 0.234996, 0.131600, -0.196531, 0.000000, 0.000000], [-0.252162, 0.177732, -0.205710, -0.015329, 0.890544, 0.092676, 0.089084, -0.229521, 0.000000, 0.000000], [-0.114781, -0.014045, -0.426163, -0.094388, -0.154058, 0.826189, -0.267180, 0.135635, 0.000000, 0.000000], [0.416445, 0.001158, -0.490465, 0.009232, 0.159040, -0.168529, 0.320057, 0.655590, 0.000000, 0.000000], [-0.390264, 0.551344, 0.342264, -0.310741, -0.104506, 0.143227, 0.396530, 0.375949, 0.000000, 0.000000]]
fourier: [[64.723504, 65.943693, 69.362999, 76.749029, 364.700347], [53.149311, 55.052660, 60.405593, 63.258552, 327.439444], [41.395940, 41.508319, 43.902180, 48.095849, 220.352553], [53.916753, 55.351992, 57.692221, 64.424685, 229.713350], [35.197438, 36.932252, 39.919614, 41.980303, 260.633503], [15.775682, 16.345494, 17.350058, 19.212939, 118.072046], [58.771043, 59.683606, 61.530264, 68.609848, 317.871017], [53.770818, 60.609066, 64.543741, 64.959565, 350.214137]]
### 6
mean: [-0.176914, -5.043299, 6.146171, 3.120589, -4.674471, -2.707475, 0.865918, -2.362324]
std: [0.181849, 5.155723, 6.440893, 3.536028, 4.779145, 2.103422, 0.918072, 2.218945]
pca: [[-0.015582, -0.128602, 0.169433, 0.464926, -0.248784, 0.273474, 0.001242, 0.775675, 0.000000, 0.000000], [-0.484216, -0.193328, -0.169332, -0.254735, 0.059103, 0.703827, -0.359465, -0.080720, 0.000000, 0.000000], [0.605029, 0.013604, 0.411857, -0.410586, 0.052152, 0.487513, 0.234376, 0.015017, 0.000000, 0.000000], [0.331658, 0.358709, -0.035866, 0.446018, 0.524981, 0.170769, -0.499223, -0.084396, 0.000000, 0.000000], [-0.448893, 0.116038, 0.309421, 0.102748, 0.629017, 0.057244, 0.525334, 0.061771, 0.000000, 0.000000], [-0.193264, 0.802788, 0.053936, 0.087263, -0.455695, 0.227699, 0.148515, -0.161542, 0.000000, 0.000000], [0.083872, -0.390501, 0.039148, 0.577273, -0.183952, 0.262235, 0.280608, -0.569519, 0.000000, 0.000000], [-0.208192, -0.082494, 0.819465, 0.004995, -0.138311, -0.197782, -0.435722, -0.173784, 0.000000, 0.000000]]
fourier: [[2.806364, 2.858838, 3.056380, 3.114861, 15.922243], [82.729237, 83.884079, 84.152483, 95.983520, 453.896960], [102.773794, 103.687802, 106.571533, 120.317049, 553.155401], [56.200314, 57.116215, 58.481875, 65.434904, 280.852985], [76.391182, 76.456063, 79.879599, 89.422625, 420.702407], [32.201838, 36.239336, 39.601752, 39.932866, 243.672764], [14.103895, 15.928523, 17.161070, 17.761677, 77.932650], [35.953115, 35.978699, 36.082644, 41.323435, 212.609126]]
### 8
mean: [-1.597378, -0.661976, -4.353654, 1.313468, 1.703618, 1.211885, -1.120515, 0.771367]
std: [1.560903, 0.514244, 4.421080, 1.103019, 2.212399, 1.289592, 1.126748, 1.306781]
pca: [[0.271529, -0.402156, -0.390685, 0.434983, 0.634164, -0.030977, 0.139752, 0.006627, 0.000000, 0.000000], [0.089434, -0.120624, 0.798470, 0.044236, 0.417846, 0.042278, -0.300454, -0.266994, 0.000000, 0.000000], [0.769995, 0.358039, 0.220463, -0.022885, -0.028979, 0.056304, 0.350574, 0.320744, 0.000000, 0.000000], [-0.191345, 0.501638, -0.135253, -0.413052, 0.523007, -0.100673, 0.343724, -0.347885, 0.000000, 0.000000], [-0.385139, 0.386598, 0.081382, 0.265777, 0.314311, 0.007364, -0.196692, 0.698152, 0.000000, 0.000000], [-0.224599, 0.104719, 0.260738, 0.578468, -0.203296, -0.457885, 0.496456, -0.196275, 0.000000, 0.000000], [0.195401, 0.530961, -0.238092, 0.450324, -0.089976, 0.191798, -0.448367, -0.417737, 0.000000, 0.000000], [-0.227620, -0.039302, 0.107791, 0.172172, -0.025479, 0.858748, 0.403682, -0.065770, 0.000000, 0.000000]]
fourier: [[25.033606, 25.040908, 26.666959, 29.104683, 143.763975], [8.013062, 8.424492, 8.683624, 9.734232, 59.577867], [70.830906, 71.737248, 72.017609, 82.332496, 391.828864], [17.500377, 18.083121, 19.335177, 20.642563, 118.212133], [35.353801, 35.354610, 37.271841, 41.308590, 153.325655], [20.676670, 20.820022, 21.421972, 24.023214, 109.069661], [17.423850, 18.213261, 18.874951, 20.736934, 100.846311], [20.964422, 21.243139, 21.367459, 24.329585, 69.423014]]
### 10
mean: [-0.931841]
std: [1.243638]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.316587, 20.366234, 20.959790, 22.503641, 83.865650]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
mean: [-1.138396, 1.372373, 1.587869, 2.171365, 2.424313, -0.278141, 0.059740, -0.903711]
std: [1.272856, 1.844331, 2.249501, 2.991393, 1.862322, 1.424376, 1.726905, 1.736009]
pca: [[-0.230809, -0.190363, -0.133493, 0.460234, 0.206427, 0.322827, 0.682613, 0.260891, 0.000000, 0.000000], [-0.290809, 0.126240, 0.587056, 0.282930, -0.182214, -0.144809, -0.245002, 0.600510, 0.000000, 0.000000], [0.512089, 0.236162, -0.060122, 0.218913, -0.117264, 0.710365, -0.286828, 0.172672, 0.000000, 0.000000], [0.687104, -0.174447, 0.126874, 0.449470, 0.136044, -0.500319, 0.102435, -0.003959, 0.000000, 0.000000], [0.136242, 0.413370, 0.641699, -0.245587, 0.353407, 0.157314, 0.362647, -0.239408, 0.000000, 0.000000], [-0.134433, 0.456766, -0.032846, 0.415841, -0.592313, -0.096839, 0.191927, -0.449713, 0.000000, 0.000000], [0.205017, 0.502481, -0.350484, -0.337416, -0.128821, -0.257776, 0.327599, 0.527662, 0.000000, 0.000000], [-0.221685, 0.479191, -0.286598, 0.333323, 0.632139, -0.138930, -0.324932, -0.059219, 0.000000, 0.000000]]
fourier: [[18.275869, 20.520371, 21.714818, 24.258459, 102.455652], [27.799587, 29.052628, 29.164565, 31.082411, 123.513615], [34.687517, 36.579850, 37.418823, 40.326382, 142.908174], [46.006338, 47.245007, 55.501904, 57.883566, 195.422815], [28.528646, 31.798598, 33.519730, 33.587955, 218.188178], [22.536758, 22.957169, 23.471047, 25.032656, 26.145167], [22.674392, 23.933131, 24.202513, 25.359151, 40.947188], [26.094862, 27.477115, 27.969672, 35.425640, 81.333960]]
### 2
mean: [3.109796, -2.539836, -1.839657, -4.173284, 1.562230, -3.788517, 2.323369, -4.125556]
std: [3.882469, 1.833215, 1.201372, 2.401751, 1.928497, 2.256263, 1.759887, 2.348991]
pca: [[0.593687, 0.636534, -0.395838, 0.076079, 0.038640, 0.238057, -0.137462, -0.053146, 0.000000, 0.000000], [-0.295581, -0.063402, -0.107530, 0.541212, 0.035426, 0.721886, 0.282812, 0.042205, 0.000000, 0.000000], [-0.183891, 0.190074, -0.103051, -0.014444, -0.540269, -0.030583, -0.131844, 0.780397, 0.000000, 0.000000], [-0.357523, 0.420922, 0.381447, 0.385121, -0.040776, -0.101664, -0.568232, -0.257482, 0.000000, 0.000000], [0.272408, 0.264242, 0.794377, -0.122586, 0.097941, 0.198716, 0.326277, 0.233174, 0.000000, 0.000000], [-0.363574, 0.159445, -0.115076, -0.459003, 0.650104, 0.243807, -0.253457, 0.268603, 0.000000, 0.000000], [0.272920, -0.214110, 0.006295, 0.561664, 0.497938, -0.329881, -0.121072, 0.439026, 0.000000, 0.000000], [-0.343006, 0.486222, -0.176949, 0.107692, 0.153392, -0.450762, 0.612777, -0.028569, 0.000000, 0.000000]]
fourier: [[61.317856, 63.404015, 68.287857, 70.790419, 279.881591], [31.176152, 31.961967, 35.141642, 36.025649, 228.585230], [19.369860, 20.080789, 22.773354, 25.485068, 165.569142], [37.009104, 41.000279, 42.286645, 51.317541, 375.595595], [28.998049, 32.408737, 35.352441, 36.209801, 140.600696], [32.074047, 39.779990, 42.555912, 48.017190, 340.966510], [26.588467, 29.232442, 33.294904, 36.113444, 209.103180], [36.253665, 42.363460, 48.040892, 48.825132, 371.300066]]
### 4
mean: [4.052226, 3.638216, -2.448362, 2.552371, -2.895928, -1.311912, 3.531900, -3.891268]
std: [4.088942, 3.358880, 2.629633, 3.491891, 2.230400, 1.025187, 3.674627, 3.484535]
pca: [[0.464019, -0.028386, -0.040175, -0.565955, -0.067632, 0.188065, 0.447785, -0.470646, 0.000000, 0.000000], [0.378909, -0.269727, 0.640395, -0.026424, 0.367676, 0.344963, -0.148110, 0.311045, 0.000000, 0.000000], [-0.292560, -0.523632, 0.045726, 0.403029, -0.056861, 0.224311, 0.649030, -0.030100, 0.000000, 0.000000], [0.391192, 0.562569, 0.067500, 0.640917, -0.063155, 0.234996, 0.131600, -0.196531, 0.000000, 0.000000], [-0.252162, 0.177732, -0.205710, -0.015329, 0.890544, 0.092676, 0.089084, -0.229521, 0.000000, 0.000000], [-0.114781, -0.014045, -0.426163, -0.094388, -0.154058, 0.826189, -0.267180, 0.135635, 0.000000, 0.000000], [0.416445, 0.001158, -0.490465, 0.009232, 0.159040, -0.168529, 0.320057, 0.655590, 0.000000, 0.000000], [-0.390264, 0.551344, 0.342264, -0.310741, -0.104506, 0.143227, 0.396530, 0.375949, 0.000000, 0.000000]]
fourier: [[64.723504, 65.943693, 69.362999, 76.749029, 364.700347], [53.149311, 55.052660, 60.405593, 63.258552, 327.439444], [41.395940, 41.508319, 43.902180, 48.095849, 220.352553], [53.916753, 55.351992, 57.692221, 64.424685, 229.713350], [35.197438, 36.932252, 39.919614, 41.980303, 260.633503], [15.775682, 16.345494, 17.350058, 19.212939, 118.072046], [58.771043, 59.683606, 61.530264, 68.609848, 317.871017], [53.770818, 60.609066, 64.543741, 64.959565, 350.214137]]
### 6
mean: [-0.176914, -5.043299, 6.146171, 3.120589, -4.674471, -2.707475, 0.865918, -2.362324]
std: [0.181849, 5.155723, 6.440893, 3.536028, 4.779145, 2.103422, 0.918072, 2.218945]
pca: [[-0.015582, -0.128602, 0.169433, 0.464926, -0.248784, 0.273474, 0.001242, 0.775675, 0.000000, 0.000000], [-0.484216, -0.193328, -0.169332, -0.254735, 0.059103, 0.703827, -0.359465, -0.080720, 0.000000, 0.000000], [0.605029, 0.013604, 0.411857, -0.410586, 0.052152, 0.487513, 0.234376, 0.015017, 0.000000, 0.000000], [0.331658, 0.358709, -0.035866, 0.446018, 0.524981, 0.170769, -0.499223, -0.084396, 0.000000, 0.000000], [-0.448893, 0.116038, 0.309421, 0.102748, 0.629017, 0.057244, 0.525334, 0.061771, 0.000000, 0.000000], [-0.193264, 0.802788, 0.053936, 0.087263, -0.455695, 0.227699, 0.148515, -0.161542, 0.000000, 0.000000], [0.083872, -0.390501, 0.039148, 0.577273, -0.183952, 0.262235, 0.280608, -0.569519, 0.000000, 0.000000], [-0.208192, -0.082494, 0.819465, 0.004995, -0.138311, -0.197782, -0.435722, -0.173784, 0.000000, 0.000000]]
fourier: [[2.806364, 2.858838, 3.056380, 3.114861, 15.922243], [82.729237, 83.884079, 84.152483, 95.983520, 453.896960], [102.773794, 103.687802, 106.571533, 120.317049, 553.155401], [56.200314, 57.116215, 58.481875, 65.434904, 280.852985], [76.391182, 76.456063, 79.879599, 89.422625, 420.702407], [32.201838, 36.239336, 39.601752, 39.932866, 243.672764], [14.103895, 15.928523, 17.161070, 17.761677, 77.932650], [35.953115, 35.978699, 36.082644, 41.323435, 212.609126]]
### 8
mean: [-1.597378, -0.661976, -4.353654, 1.313468, 1.703618, 1.211885, -1.120515, 0.771367]
std: [1.560903, 0.514244, 4.421080, 1.103019, 2.212399, 1.289592, 1.126748, 1.306781]
pca: [[0.271529, -0.402156, -0.390685, 0.434983, 0.634164, -0.030977, 0.139752, 0.006627, 0.000000, 0.000000], [0.089434, -0.120624, 0.798470, 0.044236, 0.417846, 0.042278, -0.300454, -0.266994, 0.000000, 0.000000], [0.769995, 0.358039, 0.220463, -0.022885, -0.028979, 0.056304, 0.350574, 0.320744, 0.000000, 0.000000], [-0.191345, 0.501638, -0.135253, -0.413052, 0.523007, -0.100673, 0.343724, -0.347885, 0.000000, 0.000000], [-0.385139, 0.386598, 0.081382, 0.265777, 0.314311, 0.007364, -0.196692, 0.698152, 0.000000, 0.000000], [-0.224599, 0.104719, 0.260738, 0.578468, -0.203296, -0.457885, 0.496456, -0.196275, 0.000000, 0.000000], [0.195401, 0.530961, -0.238092, 0.450324, -0.089976, 0.191798, -0.448367, -0.417737, 0.000000, 0.000000], [-0.227620, -0.039302, 0.107791, 0.172172, -0.025479, 0.858748, 0.403682, -0.065770, 0.000000, 0.000000]]
fourier: [[25.033606, 25.040908, 26.666959, 29.104683, 143.763975], [8.013062, 8.424492, 8.683624, 9.734232, 59.577867], [70.830906, 71.737248, 72.017609, 82.332496, 391.828864], [17.500377, 18.083121, 19.335177, 20.642563, 118.212133], [35.353801, 35.354610, 37.271841, 41.308590, 153.325655], [20.676670, 20.820022, 21.421972, 24.023214, 109.069661], [17.423850, 18.213261, 18.874951, 20.736934, 100.846311], [20.964422, 21.243139, 21.367459, 24.329585, 69.423014]]
### 10
mean: [-0.931841]
std: [1.243638]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.316587, 20.366234, 20.959790, 22.503641, 83.865650]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 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": [[-0.189813, -0.264367, -0.299098, -0.176541, 0.442116], [-0.53891, -0.042756, 0.093035, 0.443964, 0.635616], [0.726988, 0.664073, 0.077552, -0.18902, -0.299919], [0.792719, 0.695216, 0.545444, -0.587967, -0.106292], [0.182559, 0.099961, 0.459782, 0.693209, -0.049542], [-0.086095, 0.342118, -0.580214, 0.26893, 0.259932], [0.517221, 0.27006, -0.352733, 0.232938, -0.629341], [0.290116, -0.304253, -0.78019, 0.443235, 0.144505]], "network.0.bias": [0.03764, 0.190606, 0.08633, 0.170616, -0.370902, -0.479698, -0.062535, -0.209313], "network.2.weight": [[-0.250598, -0.322544, 0.812202, 0.618701, 0.19469, 0.092605, 0.338901, 0.029665], [-0.292175, -0.033851, -0.006695, -0.546908, -0.127858, -0.372465, -0.481241, -0.434675], [-0.145628, -0.039696, -0.225589, -0.130604, -0.353405, -0.256609, 0.06375, -0.339543], [-0.537104, -0.550926, 0.005632, -0.656468, -0.519898, -0.127288, -0.174328, -0.099026], [-0.198751, -0.269193, 0.691266, -0.035911, 0.007189, 0.505995, 0.419334, 0.786398], [0.2833, -0.245973, -0.351941, -0.216651, -0.524954, -0.005785, -0.549093, -0.061307], [-0.347724, 0.031949, 0.335711, 0.117323, 0.588435, 0.280926, -0.012493, 0.030884], [0.247722, -0.595265, -0.220098, -0.37533, -0.506258, -0.177511, -0.323886, -0.610082]], "network.2.bias": [-0.006795, -0.21359, -0.03508, -0.19142, 0.181431, -0.60282, -0.117774, -0.214578], "network.4.weight": [[0.727989, 0.063715, 0.043492, 0.305391, 0.512258, -0.339827, 0.328699, 0.414447], [0.394188, 0.591816, 0.333782, 0.104078, 0.735912, 0.283074, 0.406556, 0.07209], [-0.68537, -0.50325, 0.256233, 0.012796, -0.229593, -0.530831, 0.263559, -0.105818], [0.84084, -0.043903, 0.075736, -0.565965, 0.381874, -0.204179, -0.246963, 0.149605], [-0.295336, -0.413297, -0.264415, -0.03611, -0.398129, -0.024864, -0.294316, 0.045907], [-0.124921, -0.042721, -0.342916, -0.349101, -0.304093, -0.52936, -0.012857, -0.189597], [0.730871, 0.629667, 0.196535, 0.241198, 0.267272, 0.009406, 0.32388, -0.033229], [-0.439849, -0.193458, -0.010918, -0.146737, -0.38575, -0.192464, -0.772702, -0.257434]], "network.4.bias": [0.123895, 0.236788, -0.495545, -0.183585, -0.619094, -0.390125, 0.001424, -0.054785], "network.6.weight": [[-0.234416, 0.128728, 0.212261, -0.09698, -0.328111, -0.137922, 0.189234, -0.13998], [-0.477776, -0.02251, -0.451128, -0.505663, -0.416174, -0.025302, -0.384335, -0.299898], [0.64144, 0.118403, 0.094989, 0.431678, 0.629688, 0.429271, 0.533646, 0.260563], [0.385492, -0.12333, 0.516869, 0.521022, 0.238986, 0.31295, 0.162677, -0.330409], [-0.251453, -0.380709, -0.119729, -0.365903, -0.166125, 0.004424, -0.337955, -0.100973], [-0.473342, -0.487477, -0.182634, 0.428829, -0.103247, -0.012112, 0.011118, 0.032978], [-0.109142, 0.349471, 0.36205, -0.178742, 0.057041, 0.276566, 0.21394, -0.423382], [-0.274342, -0.161743, -0.158243, -0.352877, -0.345268, -0.016827, 0.175093, 0.036908]], "network.6.bias": [-0.109989, -0.333823, 0.094542, 0.057642, -0.112927, -0.182423, -0.251053, -0.350712], "network.8.weight": [[-0.322345, -0.019309, -0.171481, -0.043387, -0.114658, 0.034337, -0.345233, 0.321038], [0.129838, -0.030943, -0.2319, 0.24403, -0.180789, -0.126815, 0.135351, -0.218985], [-0.095701, -0.113437, -0.493988, -0.402186, -0.029662, -0.046384, 0.207579, 0.257111], [0.186409, 0.510356, 0.234949, -0.181342, 0.200658, 0.213969, 0.258836, -0.112341], [0.00482, -0.261511, 0.285378, 0.032287, -0.234235, -0.178647, 0.296197, 0.35339], [-0.126969, -0.039923, 0.095997, 0.145669, 0.164139, 0.620958, 0.17866, -0.08957], [-0.256157, -0.189825, -0.01593, -0.352484, -0.032122, 0.02552, 0.257694, 0.341261], [-0.000966, -0.488216, 0.117248, 0.147956, -0.226981, -0.362783, 0.033102, -0.018981]], "network.8.bias": [-0.101631, -0.11834, -0.245483, 0.205831, -0.412866, 0.009962, -0.149278, -0.440218], "network.10.weight": [[-0.348943, 0.111641, -0.094342, -0.059517, -0.496266, 0.100215, -0.06562, -0.18765]], "network.10.bias": [0.058137]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6816388368606567, "train_acc": 0.525, "val_loss": 0.7805241346359253, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6511226892471313, "train_acc": 0.605, "val_loss": 0.8977491855621338, "val_acc": 0.38}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.5957209467887878, "train_acc": 0.605, "val_loss": 0.6901859045028687, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6862738132476807, "train_acc": 0.53, "val_loss": 0.575787365436554, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5704728662967682, "train_acc": 0.81, "val_loss": 0.6325051784515381, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.6491319835186005, "train_acc": 0.61, "val_loss": 0.6223321557044983, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.6233435869216919, "train_acc": 0.6, "val_loss": 0.59632408618927, "val_acc": 0.72}], "summary": {"total_epochs": 7, "degraded_epochs": 3, "improved_epochs": 4, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7805241346359253, "final_val_loss": 0.6901859045028687, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.575787365436554, "final_val_loss": 0.59632408618927, "initial_val_acc": 0.78, "final_val_acc": 0.72, "best_val_acc": 0.78, "best_epoch": 3}, "improvement": 0.4, "first_improvement_epoch": 2}}
|
9,750
|
{"target_pattern": "alternating", "degraded_accuracy": 0.42, "improved_accuracy": 0.94, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9147, "learning_rate": 0.06910681938663651, "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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-0.707886
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[
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0.129848
],
[
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],
[
-0.539331,
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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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"network.4.weight": [
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"network.6.weight": [
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"network.6.bias": [
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"network.8.weight": [
[
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"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [-2.206949, 1.968256, -0.118442, 0.725893, -2.178534, -2.037780, -0.551571]
std: [3.940446, 2.489186, 1.831875, 1.751177, 1.858010, 1.365253, 2.529803]
pca: [[0.784273, -0.545254, 0.224788, -0.145957, 0.042665, -0.017231, 0.116892, 0.000000, 0.000000, 0.000000], [-0.281675, -0.219921, 0.751299, 0.178425, 0.191538, -0.180872, -0.454539, 0.000000, 0.000000, 0.000000], [0.095174, 0.402340, 0.380248, 0.247601, 0.438751, 0.001734, 0.656250, 0.000000, 0.000000, 0.000000], [0.181325, 0.355132, 0.344407, -0.153199, -0.284364, 0.760906, -0.197674, 0.000000, 0.000000, 0.000000], [0.309538, 0.231373, -0.303444, 0.110079, 0.687958, 0.101677, -0.512672, 0.000000, 0.000000, 0.000000], [0.194154, -0.049390, -0.101426, 0.914324, -0.322861, 0.068351, -0.068405, 0.000000, 0.000000, 0.000000], [0.360734, 0.557102, 0.139459, -0.118236, -0.332568, -0.610735, -0.206107, 0.000000, 0.000000, 0.000000]]
fourier: [[71.291027, 73.940781, 74.288782, 82.047516, 198.625430], [38.634998, 41.690335, 43.743683, 45.027014, 177.143004], [27.412615, 28.389984, 28.997908, 29.252971, 34.361894], [28.932925, 29.083023, 30.266654, 31.734051, 65.330355], [29.300570, 30.426623, 34.541628, 35.090903, 196.068053], [19.644309, 22.984413, 23.378297, 28.643138, 183.400202], [38.145389, 38.555244, 40.434149, 46.671100, 49.641374]]
### 2
mean: [-1.951820, -1.810859, 1.757798, -1.156269, -0.471192, -1.114244, 2.124401]
std: [1.169631, 1.177014, 2.317752, 1.592493, 0.952651, 2.107058, 2.620040]
pca: [[-0.210710, 0.237040, 0.389526, 0.299042, -0.449405, 0.159253, 0.656453, 0.000000, 0.000000, 0.000000], [-0.273876, 0.126244, 0.229269, 0.673598, 0.353145, -0.480048, -0.218172, 0.000000, 0.000000, 0.000000], [0.595882, -0.008085, 0.262530, -0.137532, 0.478533, -0.283763, 0.497501, 0.000000, 0.000000, 0.000000], [-0.224099, 0.353806, 0.640151, -0.560231, 0.002710, -0.124671, -0.292232, 0.000000, 0.000000, 0.000000], [-0.048775, -0.293619, 0.387765, 0.168104, 0.430037, 0.733411, -0.099824, 0.000000, 0.000000, 0.000000], [0.139800, 0.844704, -0.292530, 0.088291, 0.254355, 0.328361, -0.032310, 0.000000, 0.000000, 0.000000], [0.673331, 0.053787, 0.284701, 0.296668, -0.441242, 0.049159, -0.421373, 0.000000, 0.000000, 0.000000]]
fourier: [[17.264585, 19.184595, 19.457601, 24.007577, 175.663796], [17.777130, 18.926884, 18.929471, 23.583434, 162.977301], [32.981716, 37.936860, 39.210392, 49.149122, 158.201812], [24.184212, 25.067142, 26.994302, 29.218290, 104.064176], [13.249557, 13.795083, 15.517301, 16.580389, 42.407310], [30.246289, 35.190127, 37.574130, 39.820368, 100.281972], [36.881057, 44.188498, 44.882658, 54.749603, 191.196055]]
### 4
mean: [-1.790139, -1.113896, -0.631819, 3.918698, -1.422670, -1.198632, -1.145492]
std: [1.289133, 0.586406, 0.536544, 4.352723, 0.956056, 2.181127, 2.214830]
pca: [[-0.221982, -0.538202, -0.153946, 0.693846, -0.171139, 0.334758, 0.120784, 0.000000, 0.000000, 0.000000], [-0.099040, 0.220704, -0.466326, 0.443094, 0.414149, -0.541193, -0.251553, 0.000000, 0.000000, 0.000000], [-0.085089, 0.355209, -0.495592, -0.124048, 0.101943, 0.707212, -0.308295, 0.000000, 0.000000, 0.000000], [0.776455, 0.278762, 0.104978, 0.385632, 0.181070, 0.197691, 0.296326, 0.000000, 0.000000, 0.000000], [-0.168880, -0.187376, -0.270081, -0.273881, 0.549309, 0.060284, 0.695012, 0.000000, 0.000000, 0.000000], [-0.383760, 0.619344, -0.021263, 0.190784, -0.434481, -0.062677, 0.489478, 0.000000, 0.000000, 0.000000], [-0.393701, 0.197611, 0.654838, 0.216187, 0.515266, 0.219668, -0.129026, 0.000000, 0.000000, 0.000000]]
fourier: [[19.838910, 22.421883, 23.069188, 27.046519, 161.112524], [9.210959, 9.423360, 9.647814, 13.037916, 100.250595], [8.458150, 9.000558, 9.660270, 10.686959, 56.863743], [64.983794, 75.715881, 81.569245, 86.277307, 352.682833], [14.869470, 16.305263, 18.229760, 20.042521, 128.040347], [31.545909, 36.965090, 38.242284, 41.258037, 107.876903], [33.365845, 38.387885, 40.243436, 40.488217, 103.094244]]
### 6
mean: [-1.549985, -0.412781, -1.541917, -1.678849, 3.126580, -1.280199, -1.806693]
std: [1.585934, 0.155968, 1.187362, 1.449412, 4.022736, 0.722821, 1.244678]
pca: [[-0.322252, 0.256363, 0.266883, -0.435965, 0.165630, 0.284081, 0.678973, 0.000000, 0.000000, 0.000000], [-0.031280, -0.057314, -0.249580, 0.280849, -0.516492, 0.761048, 0.092801, 0.000000, 0.000000, 0.000000], [-0.238470, 0.421774, -0.428139, -0.388003, -0.555186, -0.342975, -0.074346, 0.000000, 0.000000, 0.000000], [-0.293376, 0.353561, -0.492135, 0.051280, 0.605241, 0.283106, -0.312462, 0.000000, 0.000000, 0.000000], [0.818299, 0.517525, 0.021980, -0.174212, 0.040892, 0.173066, -0.009912, 0.000000, 0.000000, 0.000000], [-0.137409, 0.545037, 0.183755, 0.728028, -0.059624, -0.242776, 0.240347, 0.000000, 0.000000, 0.000000], [-0.252475, 0.251389, 0.637758, -0.132317, -0.161329, 0.231152, -0.607749, 0.000000, 0.000000, 0.000000]]
fourier: [[23.764829, 27.407664, 29.400842, 31.957435, 139.498632], [2.463397, 2.613343, 2.719335, 2.802628, 37.150327], [18.636796, 20.214998, 21.880230, 25.382278, 138.772508], [22.192558, 24.941944, 26.797793, 30.056761, 151.096363], [62.541720, 70.233716, 73.435309, 74.061733, 281.392212], [11.493182, 12.068109, 12.923221, 16.743575, 115.217881], [18.829258, 21.421275, 23.093013, 25.310612, 162.602333]]
### 8
mean: [-2.346429]
std: [3.354422]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.242640, 58.274971, 60.102622, 68.016449, 211.178602]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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[
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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.8.bias": [
0.789482
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}
## Activation Signature
### 0
mean: [-2.206949, 1.968256, -0.118442, 0.725893, -2.178534, -2.037780, -0.551571]
std: [3.940446, 2.489186, 1.831875, 1.751177, 1.858010, 1.365253, 2.529803]
pca: [[0.784273, -0.545254, 0.224788, -0.145957, 0.042665, -0.017231, 0.116892, 0.000000, 0.000000, 0.000000], [-0.281675, -0.219921, 0.751299, 0.178425, 0.191538, -0.180872, -0.454539, 0.000000, 0.000000, 0.000000], [0.095174, 0.402340, 0.380248, 0.247601, 0.438751, 0.001734, 0.656250, 0.000000, 0.000000, 0.000000], [0.181325, 0.355132, 0.344407, -0.153199, -0.284364, 0.760906, -0.197674, 0.000000, 0.000000, 0.000000], [0.309538, 0.231373, -0.303444, 0.110079, 0.687958, 0.101677, -0.512672, 0.000000, 0.000000, 0.000000], [0.194154, -0.049390, -0.101426, 0.914324, -0.322861, 0.068351, -0.068405, 0.000000, 0.000000, 0.000000], [0.360734, 0.557102, 0.139459, -0.118236, -0.332568, -0.610735, -0.206107, 0.000000, 0.000000, 0.000000]]
fourier: [[71.291027, 73.940781, 74.288782, 82.047516, 198.625430], [38.634998, 41.690335, 43.743683, 45.027014, 177.143004], [27.412615, 28.389984, 28.997908, 29.252971, 34.361894], [28.932925, 29.083023, 30.266654, 31.734051, 65.330355], [29.300570, 30.426623, 34.541628, 35.090903, 196.068053], [19.644309, 22.984413, 23.378297, 28.643138, 183.400202], [38.145389, 38.555244, 40.434149, 46.671100, 49.641374]]
### 2
mean: [-1.951820, -1.810859, 1.757798, -1.156269, -0.471192, -1.114244, 2.124401]
std: [1.169631, 1.177014, 2.317752, 1.592493, 0.952651, 2.107058, 2.620040]
pca: [[-0.210710, 0.237040, 0.389526, 0.299042, -0.449405, 0.159253, 0.656453, 0.000000, 0.000000, 0.000000], [-0.273876, 0.126244, 0.229269, 0.673598, 0.353145, -0.480048, -0.218172, 0.000000, 0.000000, 0.000000], [0.595882, -0.008085, 0.262530, -0.137532, 0.478533, -0.283763, 0.497501, 0.000000, 0.000000, 0.000000], [-0.224099, 0.353806, 0.640151, -0.560231, 0.002710, -0.124671, -0.292232, 0.000000, 0.000000, 0.000000], [-0.048775, -0.293619, 0.387765, 0.168104, 0.430037, 0.733411, -0.099824, 0.000000, 0.000000, 0.000000], [0.139800, 0.844704, -0.292530, 0.088291, 0.254355, 0.328361, -0.032310, 0.000000, 0.000000, 0.000000], [0.673331, 0.053787, 0.284701, 0.296668, -0.441242, 0.049159, -0.421373, 0.000000, 0.000000, 0.000000]]
fourier: [[17.264585, 19.184595, 19.457601, 24.007577, 175.663796], [17.777130, 18.926884, 18.929471, 23.583434, 162.977301], [32.981716, 37.936860, 39.210392, 49.149122, 158.201812], [24.184212, 25.067142, 26.994302, 29.218290, 104.064176], [13.249557, 13.795083, 15.517301, 16.580389, 42.407310], [30.246289, 35.190127, 37.574130, 39.820368, 100.281972], [36.881057, 44.188498, 44.882658, 54.749603, 191.196055]]
### 4
mean: [-1.790139, -1.113896, -0.631819, 3.918698, -1.422670, -1.198632, -1.145492]
std: [1.289133, 0.586406, 0.536544, 4.352723, 0.956056, 2.181127, 2.214830]
pca: [[-0.221982, -0.538202, -0.153946, 0.693846, -0.171139, 0.334758, 0.120784, 0.000000, 0.000000, 0.000000], [-0.099040, 0.220704, -0.466326, 0.443094, 0.414149, -0.541193, -0.251553, 0.000000, 0.000000, 0.000000], [-0.085089, 0.355209, -0.495592, -0.124048, 0.101943, 0.707212, -0.308295, 0.000000, 0.000000, 0.000000], [0.776455, 0.278762, 0.104978, 0.385632, 0.181070, 0.197691, 0.296326, 0.000000, 0.000000, 0.000000], [-0.168880, -0.187376, -0.270081, -0.273881, 0.549309, 0.060284, 0.695012, 0.000000, 0.000000, 0.000000], [-0.383760, 0.619344, -0.021263, 0.190784, -0.434481, -0.062677, 0.489478, 0.000000, 0.000000, 0.000000], [-0.393701, 0.197611, 0.654838, 0.216187, 0.515266, 0.219668, -0.129026, 0.000000, 0.000000, 0.000000]]
fourier: [[19.838910, 22.421883, 23.069188, 27.046519, 161.112524], [9.210959, 9.423360, 9.647814, 13.037916, 100.250595], [8.458150, 9.000558, 9.660270, 10.686959, 56.863743], [64.983794, 75.715881, 81.569245, 86.277307, 352.682833], [14.869470, 16.305263, 18.229760, 20.042521, 128.040347], [31.545909, 36.965090, 38.242284, 41.258037, 107.876903], [33.365845, 38.387885, 40.243436, 40.488217, 103.094244]]
### 6
mean: [-1.549985, -0.412781, -1.541917, -1.678849, 3.126580, -1.280199, -1.806693]
std: [1.585934, 0.155968, 1.187362, 1.449412, 4.022736, 0.722821, 1.244678]
pca: [[-0.322252, 0.256363, 0.266883, -0.435965, 0.165630, 0.284081, 0.678973, 0.000000, 0.000000, 0.000000], [-0.031280, -0.057314, -0.249580, 0.280849, -0.516492, 0.761048, 0.092801, 0.000000, 0.000000, 0.000000], [-0.238470, 0.421774, -0.428139, -0.388003, -0.555186, -0.342975, -0.074346, 0.000000, 0.000000, 0.000000], [-0.293376, 0.353561, -0.492135, 0.051280, 0.605241, 0.283106, -0.312462, 0.000000, 0.000000, 0.000000], [0.818299, 0.517525, 0.021980, -0.174212, 0.040892, 0.173066, -0.009912, 0.000000, 0.000000, 0.000000], [-0.137409, 0.545037, 0.183755, 0.728028, -0.059624, -0.242776, 0.240347, 0.000000, 0.000000, 0.000000], [-0.252475, 0.251389, 0.637758, -0.132317, -0.161329, 0.231152, -0.607749, 0.000000, 0.000000, 0.000000]]
fourier: [[23.764829, 27.407664, 29.400842, 31.957435, 139.498632], [2.463397, 2.613343, 2.719335, 2.802628, 37.150327], [18.636796, 20.214998, 21.880230, 25.382278, 138.772508], [22.192558, 24.941944, 26.797793, 30.056761, 151.096363], [62.541720, 70.233716, 73.435309, 74.061733, 281.392212], [11.493182, 12.068109, 12.923221, 16.743575, 115.217881], [18.829258, 21.421275, 23.093013, 25.310612, 162.602333]]
### 8
mean: [-2.346429]
std: [3.354422]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.242640, 58.274971, 60.102622, 68.016449, 211.178602]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": -2.206949234008789, "std": 3.940446138381958, "pca": [0.7842728495597839, -0.5452544689178467, 0.22478757798671722, -0.14595657587051392, 0.0426645390689373, -0.017230914905667305, 0.11689189076423645, 0.0, 0.0, 0.0], "fourier": [71.29102663541518, 73.94078119723578, 74.28878190659601, 82.04751637177803, 198.62543007731438]}, "1": {"mean": 1.9682557582855225, "std": 2.4891855716705322, "pca": [-0.28167489171028137, -0.2199210375547409, 0.7512994408607483, 0.17842483520507812, 0.19153839349746704, -0.18087227642536163, -0.45453929901123047, 0.0, 0.0, 0.0], "fourier": [38.63499757639884, 41.69033481072759, 43.743683227861325, 45.02701392204124, 177.14300432801247]}, "2": {"mean": -0.11844222992658615, "std": 1.8318754434585571, "pca": [0.09517403692007065, 0.4023404121398926, 0.3802482485771179, 0.2476014494895935, 0.43875065445899963, 0.0017337776953354478, 0.6562497615814209, 0.0, 0.0, 0.0], "fourier": [27.412614996165445, 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"fourier": [18.829258092104155, 21.421275475602602, 23.093012505976343, 25.310611777116176, 162.6023331284523]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -2.3464291095733643, "std": 3.354421615600586, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [51.242639903929046, 58.27497124675878, 60.10262212299097, 68.01644912435125, 211.1786021888256]}}, "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": [[-0.743886, 0.502785, -1.340294, 0.467048, -0.707886], [-0.014147, 0.646411, 0.831663, 0.200361, -0.761542], [-0.843397, -0.064268, 0.674085, 0.011939, 0.129848], [-0.756081, -0.102169, 0.391571, 0.325865, 0.259588], [-0.539331, -0.251104, -0.38597, -0.323336, 0.399091], [-0.000929, -0.557801, -0.181286, 0.164667, -0.419015], [-1.009101, -0.437327, 0.196734, 0.298107, 0.588839]], "network.0.bias": [0.473816, -0.419725, -0.545606, 0.016061, -0.042386, -0.477834, -0.275356], "network.2.weight": [[-0.577849, -0.22301, -0.486887, -0.238929, -0.068471, -0.288649, -0.210329], [-0.259127, -0.128691, -0.613516, -0.391572, -0.010616, -0.587793, -0.153444], [-0.55962, 0.413795, 0.838899, 0.268225, 0.418983, 0.25693, 1.018565], [-0.903832, -0.400906, -0.097099, -0.436539, -0.058595, -0.226826, -0.382132], [-0.319722, 0.325359, -0.096923, -0.253931, 0.170461, -0.031591, -0.291502], [-0.119689, -0.682578, 0.119834, 0.204881, 0.315456, -0.367233, 0.965121], [-0.714928, 0.460867, 0.628918, 0.497225, 0.368948, 0.18949, 1.213183]], "network.2.bias": [-0.448693, -0.46516, -0.347602, 0.991024, -0.511123, -0.441779, -0.248023], "network.4.weight": [[-0.294283, -0.153666, 0.108201, -0.527698, -0.395945, -0.466128, -0.501294], [0.154464, 0.320009, -0.164355, -0.247583, 0.014424, 0.08644, -0.133773], [-0.137239, -0.009188, -0.27369, 0.014904, 0.265152, 0.15366, -0.013297], [0.160567, -0.02147, 0.769128, -0.656945, 0.098238, 0.932545, 0.829322], [-0.145985, 0.079992, -0.3416, -0.046257, 0.05413, -0.290905, -0.015291], [-0.382571, 0.082138, -0.367004, 0.728171, 0.056243, 0.019037, -0.545005], [0.055317, -0.353494, -0.391234, 0.957825, -0.30184, -0.325271, -0.421039]], "network.4.bias": [-0.498719, -0.476921, -0.175604, 0.209713, -0.608849, 0.655487, 0.630698], "network.6.weight": [[-0.284678, 0.198083, -0.368118, -0.367065, -0.017063, -0.074698, 0.084913], [-0.154087, -0.049908, 0.254413, -0.027226, -0.245012, 0.177986, -0.061152], [0.254766, -0.309559, -0.183504, -0.29367, -0.3698, 0.140678, -0.377855], [-0.372182, 0.010876, 0.280011, -0.345093, 0.095821, 0.242986, -0.336421], [0.148156, 0.02037, 0.280558, 0.816488, 0.057359, -0.795723, -0.688362], [-0.354007, 0.109284, 0.313462, -0.199396, -0.20991, -0.30215, -0.226089], [-0.1868, 0.095026, 0.10315, -0.293066, -0.155023, -0.306266, 0.227731]], "network.6.bias": [-0.099489, -0.342152, -0.285265, -0.267752, 0.406827, -0.304434, -0.624376], "network.8.weight": [[-0.352357, 0.138053, 0.348212, 0.320594, -0.90877, -0.16213, -0.017529]], "network.8.bias": [0.789482]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6770533919334412, "train_acc": 0.605, "val_loss": 0.7140306234359741, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6376209259033203, "train_acc": 0.605, "val_loss": 0.795603334903717, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6482714712619781, "train_acc": 0.605, "val_loss": 0.7410963177680969, "val_acc": 0.42}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5717791020870209, "train_acc": 0.605, "val_loss": 0.6315413117408752, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5367614924907684, "train_acc": 0.52, "val_loss": 0.9706992506980896, "val_acc": 0.42}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6172212064266205, "train_acc": 0.585, "val_loss": 0.5704221129417419, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5298953652381897, "train_acc": 0.785, "val_loss": 0.6102113723754883, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5501401722431183, "train_acc": 0.76, "val_loss": 0.555060625076294, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4752601534128189, "train_acc": 0.825, "val_loss": 0.48993760347366333, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.4070379436016083, "train_acc": 0.855, "val_loss": 0.42267128825187683, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3253178894519806, "train_acc": 0.925, "val_loss": 0.42217567563056946, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.3216470927000046, "train_acc": 0.87, "val_loss": 0.3331781029701233, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.2600775957107544, "train_acc": 0.955, "val_loss": 0.31920647621154785, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.2481934279203415, "train_acc": 0.955, "val_loss": 0.3128160834312439, "val_acc": 0.9}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7140306234359741, "final_val_loss": 0.6315413117408752, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.9706992506980896, "final_val_loss": 0.3128160834312439, "initial_val_acc": 0.42, "final_val_acc": 0.9, "best_val_acc": 0.94, "best_epoch": 12}, "improvement": 0.52, "first_improvement_epoch": 3}}
|
9,751
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.52, "improved_accuracy": 0.92, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5602, "learning_rate": 0.03285094249880203, "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: 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.12.bias": [
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}
## Activation Signature
### 0
mean: [0.559285, -0.117642, 1.614851, 0.290859, 1.536653]
std: [1.001697, 0.779616, 1.728114, 1.423558, 1.113569]
pca: [[-0.242710, -0.599466, 0.668750, -0.351333, 0.105215, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.251270, -0.235328, 0.192540, 0.813793, -0.426795, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.692127, 0.144299, 0.398087, -0.136794, -0.568289, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.459789, 0.746010, 0.478414, -0.051508, -0.023029, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.433024, 0.088925, 0.358258, 0.439250, 0.695193, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.901074, 17.237589, 19.675480, 21.102040, 50.335608], [11.483337, 12.472099, 12.475348, 12.962440, 14.508828], [28.284967, 30.641415, 31.692548, 34.579784, 145.336604], [21.341928, 23.521506, 24.782791, 26.177271, 29.197504], [18.799697, 19.013757, 20.126191, 22.599040, 138.298752]]
### 2
mean: [0.150664, -0.556880, -0.289673, 0.176233, 1.331691]
std: [0.862025, 0.107348, 0.733790, 1.037250, 2.226389]
pca: [[0.303646, 0.853836, 0.319644, -0.207166, 0.183503, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.006955, 0.181704, 0.020095, 0.959491, 0.214263, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.268401, -0.299391, 0.579189, -0.113685, 0.699959, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.382828, -0.251618, 0.705072, 0.151692, -0.519610, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.830153, -0.291549, -0.254634, -0.022895, 0.400602, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.559720, 14.745919, 14.771005, 15.052511, 15.870626], [1.658073, 1.671680, 1.833797, 1.865549, 50.119214], [10.657414, 11.325496, 13.253740, 16.520576, 26.070594], [17.267740, 17.834290, 18.092114, 18.776279, 20.574415], [35.750733, 36.412669, 41.831813, 45.910940, 119.852206]]
### 4
mean: [0.823273, -0.115175, -0.039760, -0.114069, 0.240732]
std: [1.055469, 0.954855, 0.701410, 0.570240, 0.789892]
pca: [[0.565519, 0.733225, 0.174673, -0.316641, -0.108610, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.513747, 0.396307, -0.544384, -0.122716, -0.517293, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.378232, 0.117751, -0.032460, -0.644725, 0.652956, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.303431, 0.539829, 0.159984, 0.662836, 0.389318, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.425585, 0.006376, 0.804044, -0.172213, -0.377746, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.372975, 17.681597, 20.049058, 21.528056, 74.094575], [16.168548, 17.033097, 17.260188, 17.380818, 18.931323], [11.866547, 12.404605, 12.552497, 13.128449, 13.643821], [9.913556, 10.266194, 10.303835, 10.602838, 11.212480], [13.521382, 14.042344, 14.961804, 15.303697, 21.665846]]
### 6
mean: [-0.080916, 0.050241, 0.313727, -0.519616, 0.272282]
std: [0.576692, 0.888801, 0.969381, 0.293762, 0.302009]
pca: [[0.384496, 0.457821, -0.581043, -0.545337, 0.086945, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.596748, 0.007743, -0.302551, 0.741368, -0.051657, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.649208, -0.477935, 0.374191, -0.382468, -0.252600, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.183014, 0.748723, 0.609189, 0.081793, -0.167686, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.202707, -0.036496, 0.244381, 0.002971, 0.947548, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.544732, 9.451900, 9.554716, 10.996577, 11.938571], [13.925290, 14.913335, 14.987563, 17.344454, 18.083819], [16.597533, 16.677153, 19.017160, 19.650126, 28.235442], [4.260802, 4.321782, 5.499257, 5.870772, 46.765459], [5.108671, 5.111375, 5.979625, 6.149035, 24.505367]]
### 8
mean: [0.069646, 0.432089, 0.116117, 0.330807, -0.212851]
std: [0.575370, 1.164407, 1.022461, 0.889616, 0.050298]
pca: [[0.306302, 0.533085, -0.540504, -0.008916, 0.574260, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.620158, -0.132157, 0.641757, 0.165193, 0.398496, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.544527, 0.393297, 0.483148, -0.419299, 0.373583, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.473791, -0.314711, -0.076961, 0.661485, 0.482693, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.024406, 0.666806, 0.238010, 0.599380, -0.372651, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.030272, 10.087487, 10.753086, 10.903215, 12.088109], [20.337691, 21.724638, 21.985043, 24.162449, 38.888029], [17.780507, 17.892885, 19.169567, 19.204910, 21.188756], [15.535427, 16.681193, 16.743902, 18.543607, 29.772666], [0.813283, 0.852657, 0.880076, 0.930309, 19.156566]]
### 10
mean: [-0.271407, 0.288167, 0.157115, -0.167504, -0.502750]
std: [0.622174, 1.501228, 0.852267, 0.896357, 0.444680]
pca: [[0.296198, 0.609826, 0.608435, 0.240540, -0.335152, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.719279, -0.224136, 0.262714, -0.180710, 0.575088, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.408391, 0.061546, 0.234539, 0.621574, 0.622949, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.429106, -0.343438, 0.699603, -0.452758, -0.059022, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.209734, 0.675380, -0.127810, -0.564040, 0.406692, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.077255, 11.544450, 11.957105, 12.816325, 24.426594], [26.071102, 26.077212, 28.053582, 28.151045, 31.558711], [14.815003, 14.824326, 15.959934, 15.987918, 17.904848], [15.631766, 15.766423, 16.767776, 16.983832, 18.689909], [7.591673, 7.834472, 8.243182, 9.357316, 45.247463]]
### 12
mean: [-0.164492]
std: [0.837662]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.617991, 14.804287, 15.699612, 15.710313, 17.510144]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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0.314208,
0.157246,
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],
[
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0.228706
],
[
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],
[
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0.237882,
-0.209202,
0.364431,
-0.077121
],
[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
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],
[
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],
[
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],
[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
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],
[
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],
[
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],
[
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],
[
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]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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-0.484441,
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],
[
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0.176483,
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-0.735395
],
[
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0.134399,
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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.10.bias": [
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"network.12.weight": [
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [0.559285, -0.117642, 1.614851, 0.290859, 1.536653]
std: [1.001697, 0.779616, 1.728114, 1.423558, 1.113569]
pca: [[-0.242710, -0.599466, 0.668750, -0.351333, 0.105215, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.251270, -0.235328, 0.192540, 0.813793, -0.426795, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.692127, 0.144299, 0.398087, -0.136794, -0.568289, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.459789, 0.746010, 0.478414, -0.051508, -0.023029, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.433024, 0.088925, 0.358258, 0.439250, 0.695193, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.901074, 17.237589, 19.675480, 21.102040, 50.335608], [11.483337, 12.472099, 12.475348, 12.962440, 14.508828], [28.284967, 30.641415, 31.692548, 34.579784, 145.336604], [21.341928, 23.521506, 24.782791, 26.177271, 29.197504], [18.799697, 19.013757, 20.126191, 22.599040, 138.298752]]
### 2
mean: [0.150664, -0.556880, -0.289673, 0.176233, 1.331691]
std: [0.862025, 0.107348, 0.733790, 1.037250, 2.226389]
pca: [[0.303646, 0.853836, 0.319644, -0.207166, 0.183503, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.006955, 0.181704, 0.020095, 0.959491, 0.214263, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.268401, -0.299391, 0.579189, -0.113685, 0.699959, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.382828, -0.251618, 0.705072, 0.151692, -0.519610, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.830153, -0.291549, -0.254634, -0.022895, 0.400602, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.559720, 14.745919, 14.771005, 15.052511, 15.870626], [1.658073, 1.671680, 1.833797, 1.865549, 50.119214], [10.657414, 11.325496, 13.253740, 16.520576, 26.070594], [17.267740, 17.834290, 18.092114, 18.776279, 20.574415], [35.750733, 36.412669, 41.831813, 45.910940, 119.852206]]
### 4
mean: [0.823273, -0.115175, -0.039760, -0.114069, 0.240732]
std: [1.055469, 0.954855, 0.701410, 0.570240, 0.789892]
pca: [[0.565519, 0.733225, 0.174673, -0.316641, -0.108610, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.513747, 0.396307, -0.544384, -0.122716, -0.517293, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.378232, 0.117751, -0.032460, -0.644725, 0.652956, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.303431, 0.539829, 0.159984, 0.662836, 0.389318, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.425585, 0.006376, 0.804044, -0.172213, -0.377746, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.372975, 17.681597, 20.049058, 21.528056, 74.094575], [16.168548, 17.033097, 17.260188, 17.380818, 18.931323], [11.866547, 12.404605, 12.552497, 13.128449, 13.643821], [9.913556, 10.266194, 10.303835, 10.602838, 11.212480], [13.521382, 14.042344, 14.961804, 15.303697, 21.665846]]
### 6
mean: [-0.080916, 0.050241, 0.313727, -0.519616, 0.272282]
std: [0.576692, 0.888801, 0.969381, 0.293762, 0.302009]
pca: [[0.384496, 0.457821, -0.581043, -0.545337, 0.086945, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.596748, 0.007743, -0.302551, 0.741368, -0.051657, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.649208, -0.477935, 0.374191, -0.382468, -0.252600, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.183014, 0.748723, 0.609189, 0.081793, -0.167686, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.202707, -0.036496, 0.244381, 0.002971, 0.947548, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.544732, 9.451900, 9.554716, 10.996577, 11.938571], [13.925290, 14.913335, 14.987563, 17.344454, 18.083819], [16.597533, 16.677153, 19.017160, 19.650126, 28.235442], [4.260802, 4.321782, 5.499257, 5.870772, 46.765459], [5.108671, 5.111375, 5.979625, 6.149035, 24.505367]]
### 8
mean: [0.069646, 0.432089, 0.116117, 0.330807, -0.212851]
std: [0.575370, 1.164407, 1.022461, 0.889616, 0.050298]
pca: [[0.306302, 0.533085, -0.540504, -0.008916, 0.574260, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.620158, -0.132157, 0.641757, 0.165193, 0.398496, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.544527, 0.393297, 0.483148, -0.419299, 0.373583, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.473791, -0.314711, -0.076961, 0.661485, 0.482693, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.024406, 0.666806, 0.238010, 0.599380, -0.372651, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.030272, 10.087487, 10.753086, 10.903215, 12.088109], [20.337691, 21.724638, 21.985043, 24.162449, 38.888029], [17.780507, 17.892885, 19.169567, 19.204910, 21.188756], [15.535427, 16.681193, 16.743902, 18.543607, 29.772666], [0.813283, 0.852657, 0.880076, 0.930309, 19.156566]]
### 10
mean: [-0.271407, 0.288167, 0.157115, -0.167504, -0.502750]
std: [0.622174, 1.501228, 0.852267, 0.896357, 0.444680]
pca: [[0.296198, 0.609826, 0.608435, 0.240540, -0.335152, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.719279, -0.224136, 0.262714, -0.180710, 0.575088, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.408391, 0.061546, 0.234539, 0.621574, 0.622949, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.429106, -0.343438, 0.699603, -0.452758, -0.059022, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.209734, 0.675380, -0.127810, -0.564040, 0.406692, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.077255, 11.544450, 11.957105, 12.816325, 24.426594], [26.071102, 26.077212, 28.053582, 28.151045, 31.558711], [14.815003, 14.824326, 15.959934, 15.987918, 17.904848], [15.631766, 15.766423, 16.767776, 16.983832, 18.689909], [7.591673, 7.834472, 8.243182, 9.357316, 45.247463]]
### 12
mean: [-0.164492]
std: [0.837662]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.617991, 14.804287, 15.699612, 15.710313, 17.510144]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 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": [[-0.307715, -0.29118, 0.314208, 0.157246, 0.138278], [-0.186985, -0.188399, -0.097861, 0.133538, 0.228706], [0.728162, 0.148839, 0.187799, -0.095149, -0.118607], [-0.456548, 0.237882, -0.209202, 0.364431, -0.077121], [0.49686, 0.082798, 0.040921, -0.0233, 0.039581]], "network.0.bias": [0.30872, 0.094341, 0.395509, 0.176146, 0.683131], "network.2.weight": [[-0.498125, -0.023397, 0.104209, -0.465861, 0.184422], [-0.01612, -0.202368, -0.384456, -0.03805, 0.507762], [0.156254, 0.559444, 0.038105, 0.241885, -0.431342], [-0.193578, 0.217849, 0.333298, -0.25932, 0.268886], [-0.363815, -0.512611, 0.585336, -0.472608, 0.66547]], "network.2.bias": [0.336455, -0.626486, -0.0551, -0.461782, 0.074938], "network.4.weight": [[0.198986, -0.24111, -0.615345, 0.032911, 0.398304], [-0.389343, -0.383639, -0.177304, 0.012665, -0.362036], [-0.3956, -0.282246, 0.018652, -0.056654, -0.200333], [-0.135546, -0.246016, -0.199043, -0.338387, -0.10256], [-0.336052, -0.623243, 0.241883, -0.468245, -0.076719]], "network.4.bias": [0.166793, 0.466475, 0.344605, 0.16671, 0.515009], "network.6.weight": [[0.220272, -0.406286, -0.402512, -0.484441, -0.536942], [0.552931, -0.651362, 0.176483, -0.182567, -0.735395], [0.697426, 0.134399, -0.222812, -0.663018, -0.562636], [-0.069953, -0.040817, -0.49623, -0.20746, -0.80423], [0.185269, 0.085694, -0.235517, -0.175563, -0.234098]], "network.6.bias": [0.087533, -0.017137, 0.008448, -0.103354, 0.234901], "network.8.weight": [[0.623742, 0.502981, 0.074288, 0.410356, -0.266132], [0.630214, 0.425634, 0.609783, 0.541949, 0.455167], [-0.546783, -0.438875, -0.637247, -0.402493, 0.1174], [-0.49408, -0.755025, -0.130263, -0.659382, -0.270848], [0.0706, 0.026929, -0.147416, 0.431888, 0.067911]], "network.8.bias": [-0.04127, -0.005514, 0.467394, 0.594097, -0.121903], "network.10.weight": [[-0.04295, -0.553727, 0.023948, -0.005539, -0.113753], [-0.573794, -0.753901, 0.675363, 0.726071, -0.244867], [0.624639, 0.30478, -0.289136, -0.47582, -0.205261], [0.280951, 0.571703, -0.244393, -0.233681, -0.540943], [-0.086213, 0.179538, -0.339373, -0.537275, -0.042541]], "network.10.bias": [0.012201, 0.164742, 0.212719, -0.360747, -0.213821], "network.12.weight": [[-0.255066, -0.366503, 0.296201, 0.555735, 0.669448]], "network.12.bias": [-0.023055]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7015300691127777, "train_acc": 0.445, "val_loss": 0.6933852434158325, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6916439533233643, "train_acc": 0.515, "val_loss": 0.6906572580337524, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6855665147304535, "train_acc": 0.555, "val_loss": 0.6869013905525208, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6803756654262543, "train_acc": 0.555, "val_loss": 0.6688060164451599, "val_acc": 0.52}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6522142291069031, "train_acc": 0.555, "val_loss": 0.6031719446182251, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5678696930408478, "train_acc": 0.665, "val_loss": 0.43900179862976074, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.4508070945739746, "train_acc": 0.9, "val_loss": 0.4270803928375244, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.3835809677839279, "train_acc": 0.915, "val_loss": 0.3533562421798706, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.3306514471769333, "train_acc": 0.915, "val_loss": 0.29704150557518005, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.2755145877599716, "train_acc": 0.925, "val_loss": 0.27072805166244507, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.2339915782213211, "train_acc": 0.935, "val_loss": 0.2638339102268219, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.23365375399589539, "train_acc": 0.94, "val_loss": 0.28026965260505676, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.21673215925693512, "train_acc": 0.94, "val_loss": 0.27717816829681396, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.1893341764807701, "train_acc": 0.94, "val_loss": 0.2598496377468109, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.18244428932666779, "train_acc": 0.94, "val_loss": 0.2466636449098587, "val_acc": 0.9}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6933852434158325, "final_val_loss": 0.6031719446182251, "initial_val_acc": 0.48, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.43900179862976074, "final_val_loss": 0.2466636449098587, "initial_val_acc": 0.92, "final_val_acc": 0.9, "best_val_acc": 0.92, "best_epoch": 5}, "improvement": 0.4, "first_improvement_epoch": 4}}
|
9,752
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.54, "improved_accuracy": 0.76, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4283, "learning_rate": 0.013641954135620934, "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: 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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"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: [-0.554843, 0.599234, -1.718053, -2.015841, -1.356483, 1.211544, -0.385836, 0.584808]
std: [1.367764, 1.233905, 1.481720, 1.323719, 1.160492, 1.445463, 1.294315, 1.281217]
pca: [[0.278253, -0.205944, 0.770966, -0.359883, 0.055133, 0.073062, -0.362409, -0.128608, 0.000000, 0.000000], [-0.243633, 0.446791, 0.289917, -0.330409, 0.031765, -0.344002, 0.559779, -0.339264, 0.000000, 0.000000], [0.406023, 0.418738, 0.083720, 0.583430, -0.162859, -0.179615, -0.229361, -0.448345, 0.000000, 0.000000], [0.481192, 0.139931, -0.064057, -0.140858, -0.154683, 0.706742, 0.441435, -0.081570, 0.000000, 0.000000], [0.283135, 0.383757, 0.211893, 0.156243, 0.485818, -0.104700, 0.111294, 0.666249, 0.000000, 0.000000], [-0.462531, 0.145654, 0.449212, 0.347998, -0.514693, 0.289989, 0.045329, 0.301493, 0.000000, 0.000000], [0.013330, 0.557868, -0.252309, -0.501630, -0.340511, -0.002158, -0.467520, 0.196941, 0.000000, 0.000000], [-0.415379, 0.288689, -0.009835, 0.062732, 0.573260, 0.499518, -0.273533, -0.295164, 0.000000, 0.000000]]
fourier: [[19.974060, 20.992108, 22.640672, 24.154020, 49.935827], [18.880129, 19.929252, 19.966094, 19.986419, 53.931102], [24.061111, 25.714786, 27.170862, 31.134079, 154.624769], [22.227177, 22.293250, 24.865774, 26.528292, 181.425686], [17.955830, 21.810729, 22.479534, 22.798650, 122.083500], [21.867191, 25.133786, 28.899732, 29.280781, 109.038974], [20.634048, 23.295326, 24.532365, 31.099607, 34.725250], [19.738926, 20.025545, 22.466737, 23.956953, 52.632675]]
### 2
mean: [1.449271, 1.021561, 1.096551, 1.161105, 0.444484, -0.708822, 0.306322, 0.898680]
std: [1.402550, 1.344588, 1.274729, 0.983799, 0.417200, 0.543107, 0.419824, 1.128495]
pca: [[0.496188, -0.082463, -0.386011, 0.742789, 0.095818, -0.141966, 0.116778, 0.057319, 0.000000, 0.000000], [0.476622, 0.181343, -0.177884, -0.489657, 0.217317, -0.113874, -0.000946, 0.639018, 0.000000, 0.000000], [0.449979, 0.128557, 0.529641, -0.027085, 0.531232, -0.038656, -0.168391, -0.433223, 0.000000, 0.000000], [0.330480, -0.548873, 0.461134, 0.069318, -0.445451, 0.185789, -0.252027, 0.274974, 0.000000, 0.000000], [0.106138, 0.528824, -0.139948, 0.133312, -0.160549, 0.665665, -0.450326, 0.006512, 0.000000, 0.000000], [-0.187855, -0.202295, 0.157310, 0.146178, 0.483491, 0.603826, 0.437042, 0.297148, 0.000000, 0.000000], [-0.085772, 0.561744, 0.527300, 0.305902, -0.232666, -0.239420, 0.299845, 0.322651, 0.000000, 0.000000], [0.401273, 0.079944, -0.061735, -0.265040, -0.386375, 0.256572, 0.640923, -0.364190, 0.000000, 0.000000]]
fourier: [[22.351311, 22.675271, 24.400361, 24.633382, 130.434394], [20.510828, 20.688459, 21.622290, 25.821971, 91.940454], [19.379690, 19.648644, 20.429546, 26.060994, 98.689602], [14.486652, 14.571950, 15.320551, 23.329411, 104.499471], [7.710460, 8.169878, 8.221615, 8.903586, 40.003588], [8.650970, 8.691984, 9.097222, 10.554272, 63.793971], [6.328085, 6.592358, 7.747176, 10.620376, 27.568966], [17.849462, 17.975077, 18.202194, 20.944384, 80.881197]]
### 4
mean: [2.374604, -0.655067, -0.984919, 0.272580, 0.160513, 0.256056, 1.815154, 2.706235]
std: [2.670955, 0.432416, 0.485711, 0.503032, 0.521856, 0.636773, 2.043513, 2.448297]
pca: [[0.620158, 0.006584, 0.436797, -0.025059, 0.581688, -0.078114, 0.259033, -0.111270, 0.000000, 0.000000], [-0.100060, 0.116179, 0.058966, 0.078848, -0.346492, 0.185327, 0.850077, -0.299604, 0.000000, 0.000000], [-0.109622, -0.228118, 0.489443, 0.703722, -0.072580, 0.397313, -0.155801, 0.117330, 0.000000, 0.000000], [-0.112907, 0.327890, 0.450312, -0.582068, -0.089106, 0.542450, -0.189638, 0.000827, 0.000000, 0.000000], [-0.118326, 0.251076, -0.475305, 0.144025, 0.533361, 0.522397, 0.178809, 0.294886, 0.000000, 0.000000], [-0.135449, 0.844200, 0.144544, 0.334055, 0.030887, -0.336290, -0.118664, -0.091473, 0.000000, 0.000000], [0.474417, 0.104163, -0.334721, 0.159200, -0.179489, 0.345950, -0.314589, -0.613051, 0.000000, 0.000000], [0.568514, 0.200864, -0.067458, 0.038021, -0.459054, 0.042085, 0.070813, 0.642599, 0.000000, 0.000000]]
fourier: [[41.976647, 42.370477, 46.465710, 48.803473, 213.714379], [6.671525, 6.811080, 7.298050, 8.297040, 58.956016], [7.440652, 7.518131, 8.487146, 9.115423, 88.642691], [7.234604, 7.241865, 7.617411, 11.839335, 24.532236], [8.370051, 8.605546, 9.081514, 9.109509, 14.446206], [10.065356, 10.129364, 10.259037, 14.626981, 23.045079], [31.633824, 32.073366, 37.089211, 37.089833, 163.363889], [38.266808, 38.436921, 43.223457, 44.933735, 243.561171]]
### 6
mean: [0.853405, 3.510764, -0.951204, -0.363779, -1.357476, 0.556345, -1.072462, 0.484920]
std: [1.191107, 4.050840, 0.737143, 0.080406, 0.813384, 0.670135, 0.843559, 0.645980]
pca: [[0.262786, -0.055869, 0.198676, 0.763045, -0.385726, -0.004926, -0.267230, -0.293072, 0.000000, 0.000000], [0.893943, -0.071395, -0.090251, -0.055686, 0.199361, 0.272216, 0.109383, 0.242304, 0.000000, 0.000000], [-0.161007, -0.371435, -0.228388, 0.176139, -0.304261, -0.019904, -0.177412, 0.792768, 0.000000, 0.000000], [-0.007643, 0.207238, 0.596627, 0.013372, -0.349290, 0.037484, 0.634601, 0.273357, 0.000000, 0.000000], [-0.177649, -0.387508, 0.585405, -0.056334, 0.305550, 0.536939, -0.300007, 0.027139, 0.000000, 0.000000], [-0.144182, 0.531226, 0.016535, 0.497348, 0.581846, 0.008290, -0.024453, 0.331920, 0.000000, 0.000000], [-0.183883, -0.462173, -0.313132, 0.362071, 0.211795, 0.223212, 0.624148, -0.197977, 0.000000, 0.000000], [-0.140238, 0.406082, -0.321301, -0.042815, -0.346596, 0.765426, -0.047607, -0.045730, 0.000000, 0.000000]]
fourier: [[18.410593, 18.717130, 21.276543, 21.826983, 76.806471], [63.039562, 63.880311, 72.225619, 73.453050, 315.968777], [11.356508, 11.485145, 12.395943, 14.220255, 85.608366], [1.199569, 1.268669, 1.491783, 1.552957, 32.740131], [12.568784, 13.108474, 13.182348, 15.494842, 122.172850], [10.296828, 10.529076, 10.595896, 13.447256, 50.071057], [13.135052, 13.145913, 14.199917, 16.299908, 96.521605], [9.788269, 10.140810, 10.307208, 12.820754, 43.642843]]
### 8
mean: [-1.755249]
std: [2.765962]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.964056, 43.482259, 48.538207, 50.957444, 157.972381]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 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.6.weight": [
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.554843, 0.599234, -1.718053, -2.015841, -1.356483, 1.211544, -0.385836, 0.584808]
std: [1.367764, 1.233905, 1.481720, 1.323719, 1.160492, 1.445463, 1.294315, 1.281217]
pca: [[0.278253, -0.205944, 0.770966, -0.359883, 0.055133, 0.073062, -0.362409, -0.128608, 0.000000, 0.000000], [-0.243633, 0.446791, 0.289917, -0.330409, 0.031765, -0.344002, 0.559779, -0.339264, 0.000000, 0.000000], [0.406023, 0.418738, 0.083720, 0.583430, -0.162859, -0.179615, -0.229361, -0.448345, 0.000000, 0.000000], [0.481192, 0.139931, -0.064057, -0.140858, -0.154683, 0.706742, 0.441435, -0.081570, 0.000000, 0.000000], [0.283135, 0.383757, 0.211893, 0.156243, 0.485818, -0.104700, 0.111294, 0.666249, 0.000000, 0.000000], [-0.462531, 0.145654, 0.449212, 0.347998, -0.514693, 0.289989, 0.045329, 0.301493, 0.000000, 0.000000], [0.013330, 0.557868, -0.252309, -0.501630, -0.340511, -0.002158, -0.467520, 0.196941, 0.000000, 0.000000], [-0.415379, 0.288689, -0.009835, 0.062732, 0.573260, 0.499518, -0.273533, -0.295164, 0.000000, 0.000000]]
fourier: [[19.974060, 20.992108, 22.640672, 24.154020, 49.935827], [18.880129, 19.929252, 19.966094, 19.986419, 53.931102], [24.061111, 25.714786, 27.170862, 31.134079, 154.624769], [22.227177, 22.293250, 24.865774, 26.528292, 181.425686], [17.955830, 21.810729, 22.479534, 22.798650, 122.083500], [21.867191, 25.133786, 28.899732, 29.280781, 109.038974], [20.634048, 23.295326, 24.532365, 31.099607, 34.725250], [19.738926, 20.025545, 22.466737, 23.956953, 52.632675]]
### 2
mean: [1.449271, 1.021561, 1.096551, 1.161105, 0.444484, -0.708822, 0.306322, 0.898680]
std: [1.402550, 1.344588, 1.274729, 0.983799, 0.417200, 0.543107, 0.419824, 1.128495]
pca: [[0.496188, -0.082463, -0.386011, 0.742789, 0.095818, -0.141966, 0.116778, 0.057319, 0.000000, 0.000000], [0.476622, 0.181343, -0.177884, -0.489657, 0.217317, -0.113874, -0.000946, 0.639018, 0.000000, 0.000000], [0.449979, 0.128557, 0.529641, -0.027085, 0.531232, -0.038656, -0.168391, -0.433223, 0.000000, 0.000000], [0.330480, -0.548873, 0.461134, 0.069318, -0.445451, 0.185789, -0.252027, 0.274974, 0.000000, 0.000000], [0.106138, 0.528824, -0.139948, 0.133312, -0.160549, 0.665665, -0.450326, 0.006512, 0.000000, 0.000000], [-0.187855, -0.202295, 0.157310, 0.146178, 0.483491, 0.603826, 0.437042, 0.297148, 0.000000, 0.000000], [-0.085772, 0.561744, 0.527300, 0.305902, -0.232666, -0.239420, 0.299845, 0.322651, 0.000000, 0.000000], [0.401273, 0.079944, -0.061735, -0.265040, -0.386375, 0.256572, 0.640923, -0.364190, 0.000000, 0.000000]]
fourier: [[22.351311, 22.675271, 24.400361, 24.633382, 130.434394], [20.510828, 20.688459, 21.622290, 25.821971, 91.940454], [19.379690, 19.648644, 20.429546, 26.060994, 98.689602], [14.486652, 14.571950, 15.320551, 23.329411, 104.499471], [7.710460, 8.169878, 8.221615, 8.903586, 40.003588], [8.650970, 8.691984, 9.097222, 10.554272, 63.793971], [6.328085, 6.592358, 7.747176, 10.620376, 27.568966], [17.849462, 17.975077, 18.202194, 20.944384, 80.881197]]
### 4
mean: [2.374604, -0.655067, -0.984919, 0.272580, 0.160513, 0.256056, 1.815154, 2.706235]
std: [2.670955, 0.432416, 0.485711, 0.503032, 0.521856, 0.636773, 2.043513, 2.448297]
pca: [[0.620158, 0.006584, 0.436797, -0.025059, 0.581688, -0.078114, 0.259033, -0.111270, 0.000000, 0.000000], [-0.100060, 0.116179, 0.058966, 0.078848, -0.346492, 0.185327, 0.850077, -0.299604, 0.000000, 0.000000], [-0.109622, -0.228118, 0.489443, 0.703722, -0.072580, 0.397313, -0.155801, 0.117330, 0.000000, 0.000000], [-0.112907, 0.327890, 0.450312, -0.582068, -0.089106, 0.542450, -0.189638, 0.000827, 0.000000, 0.000000], [-0.118326, 0.251076, -0.475305, 0.144025, 0.533361, 0.522397, 0.178809, 0.294886, 0.000000, 0.000000], [-0.135449, 0.844200, 0.144544, 0.334055, 0.030887, -0.336290, -0.118664, -0.091473, 0.000000, 0.000000], [0.474417, 0.104163, -0.334721, 0.159200, -0.179489, 0.345950, -0.314589, -0.613051, 0.000000, 0.000000], [0.568514, 0.200864, -0.067458, 0.038021, -0.459054, 0.042085, 0.070813, 0.642599, 0.000000, 0.000000]]
fourier: [[41.976647, 42.370477, 46.465710, 48.803473, 213.714379], [6.671525, 6.811080, 7.298050, 8.297040, 58.956016], [7.440652, 7.518131, 8.487146, 9.115423, 88.642691], [7.234604, 7.241865, 7.617411, 11.839335, 24.532236], [8.370051, 8.605546, 9.081514, 9.109509, 14.446206], [10.065356, 10.129364, 10.259037, 14.626981, 23.045079], [31.633824, 32.073366, 37.089211, 37.089833, 163.363889], [38.266808, 38.436921, 43.223457, 44.933735, 243.561171]]
### 6
mean: [0.853405, 3.510764, -0.951204, -0.363779, -1.357476, 0.556345, -1.072462, 0.484920]
std: [1.191107, 4.050840, 0.737143, 0.080406, 0.813384, 0.670135, 0.843559, 0.645980]
pca: [[0.262786, -0.055869, 0.198676, 0.763045, -0.385726, -0.004926, -0.267230, -0.293072, 0.000000, 0.000000], [0.893943, -0.071395, -0.090251, -0.055686, 0.199361, 0.272216, 0.109383, 0.242304, 0.000000, 0.000000], [-0.161007, -0.371435, -0.228388, 0.176139, -0.304261, -0.019904, -0.177412, 0.792768, 0.000000, 0.000000], [-0.007643, 0.207238, 0.596627, 0.013372, -0.349290, 0.037484, 0.634601, 0.273357, 0.000000, 0.000000], [-0.177649, -0.387508, 0.585405, -0.056334, 0.305550, 0.536939, -0.300007, 0.027139, 0.000000, 0.000000], [-0.144182, 0.531226, 0.016535, 0.497348, 0.581846, 0.008290, -0.024453, 0.331920, 0.000000, 0.000000], [-0.183883, -0.462173, -0.313132, 0.362071, 0.211795, 0.223212, 0.624148, -0.197977, 0.000000, 0.000000], [-0.140238, 0.406082, -0.321301, -0.042815, -0.346596, 0.765426, -0.047607, -0.045730, 0.000000, 0.000000]]
fourier: [[18.410593, 18.717130, 21.276543, 21.826983, 76.806471], [63.039562, 63.880311, 72.225619, 73.453050, 315.968777], [11.356508, 11.485145, 12.395943, 14.220255, 85.608366], [1.199569, 1.268669, 1.491783, 1.552957, 32.740131], [12.568784, 13.108474, 13.182348, 15.494842, 122.172850], [10.296828, 10.529076, 10.595896, 13.447256, 50.071057], [13.135052, 13.145913, 14.199917, 16.299908, 96.521605], [9.788269, 10.140810, 10.307208, 12.820754, 43.642843]]
### 8
mean: [-1.755249]
std: [2.765962]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.964056, 43.482259, 48.538207, 50.957444, 157.972381]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 0.6859557330608368, "train_acc": 0.565, "val_loss": 0.6898860335350037, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6807669401168823, "train_acc": 0.565, "val_loss": 0.6844793558120728, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6746910512447357, "train_acc": 0.565, "val_loss": 0.6745379567146301, "val_acc": 0.54}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6638891398906708, "train_acc": 0.565, "val_loss": 0.6600348949432373, "val_acc": 0.54}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6498486995697021, "train_acc": 0.565, "val_loss": 0.6410949230194092, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6480441689491272, "train_acc": 0.49, "val_loss": 0.6215119361877441, "val_acc": 0.54}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6253549158573151, "train_acc": 0.49, "val_loss": 0.5950985550880432, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5945479571819305, "train_acc": 0.685, "val_loss": 0.5663455724716187, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5653363764286041, "train_acc": 0.72, "val_loss": 0.542378842830658, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5470841526985168, "train_acc": 0.75, "val_loss": 0.5284456610679626, "val_acc": 0.74}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.5130841135978699, "train_acc": 0.75, "val_loss": 0.5255461931228638, "val_acc": 0.74}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.5030333399772644, "train_acc": 0.77, "val_loss": 0.5189701318740845, "val_acc": 0.72}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.4698358029127121, "train_acc": 0.77, "val_loss": 0.49958187341690063, "val_acc": 0.76}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.44097039103507996, "train_acc": 0.775, "val_loss": 0.4845259189605713, "val_acc": 0.76}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.43887707591056824, "train_acc": 0.79, "val_loss": 0.48038890957832336, "val_acc": 0.76}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6898860335350037, "final_val_loss": 0.6410949230194092, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.6215119361877441, "final_val_loss": 0.48038890957832336, "initial_val_acc": 0.54, "final_val_acc": 0.76, "best_val_acc": 0.76, "best_epoch": 12}, "improvement": 0.21999999999999997, "first_improvement_epoch": 4}}
|
9,753
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.46, "improved_accuracy": 0.84, "improvement": 0.37999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7213, "learning_rate": 0.07477560076558006, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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"network.6.weight": [
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]
}
## Activation Signature
### 0
mean: [1.408930, 0.126028, 0.869156, 4.286956, 0.590684, -0.428754, -0.292796, -2.945729]
std: [2.689689, 2.531773, 2.489972, 3.795273, 2.164907, 1.896502, 3.479546, 1.724932]
pca: [[-0.377849, 0.253761, 0.390456, -0.130095, 0.235107, 0.731344, -0.013666, 0.182013, 0.000000, 0.000000], [0.000943, 0.709884, -0.298043, 0.460858, 0.028010, 0.066816, -0.267312, -0.343714, 0.000000, 0.000000], [0.373649, 0.263057, -0.080745, -0.248230, 0.553223, -0.024732, 0.624181, -0.163649, 0.000000, 0.000000], [0.560378, 0.185167, 0.532160, -0.312150, -0.010154, -0.088606, -0.496784, -0.127709, 0.000000, 0.000000], [-0.303460, 0.139336, 0.331507, 0.260985, 0.489609, -0.582091, -0.095522, 0.350450, 0.000000, 0.000000], [-0.022965, 0.439239, -0.378878, -0.496143, -0.211734, -0.130602, -0.080430, 0.590320, 0.000000, 0.000000], [0.556061, -0.122022, -0.085505, 0.497159, 0.101010, 0.288383, -0.022843, 0.572310, 0.000000, 0.000000], [-0.042115, -0.317724, -0.456338, -0.224035, 0.585687, 0.114706, -0.525210, -0.082518, 0.000000, 0.000000]]
fourier: [[39.025147, 42.147014, 49.989715, 58.598319, 126.803664], [38.041696, 39.733425, 41.005347, 42.903607, 47.502479], [39.144259, 41.247619, 42.845572, 45.058974, 78.224012], [66.850931, 67.808312, 67.827615, 70.615300, 385.825992], [33.560099, 37.311018, 40.927374, 47.904648, 53.161551], [28.619510, 28.807946, 31.107513, 38.587871, 40.989831], [51.749818, 57.409691, 62.817765, 65.825357, 72.037087], [25.722208, 25.849109, 30.226851, 33.918174, 265.115635]]
### 2
mean: [3.879336, 0.776067, 3.089265, -1.856461, -3.969419, -4.783010, -3.707294, -0.938203]
std: [5.567632, 3.018757, 4.541126, 0.990484, 2.287837, 4.137091, 2.319511, 0.619990]
pca: [[0.611514, 0.084158, 0.392037, 0.042728, 0.182142, -0.490545, -0.434739, -0.025323, 0.000000, 0.000000], [0.295104, 0.586742, -0.283990, 0.438613, -0.116541, -0.094677, 0.393715, -0.343596, 0.000000, 0.000000], [0.498029, 0.010296, 0.357207, 0.026365, -0.266848, 0.708519, 0.104403, 0.198650, 0.000000, 0.000000], [-0.067957, 0.239069, 0.322304, -0.219041, 0.021026, -0.347325, 0.587574, 0.565729, 0.000000, 0.000000], [-0.220655, 0.448436, 0.245547, -0.501286, -0.533249, -0.034137, -0.217353, -0.325383, 0.000000, 0.000000], [-0.440824, -0.032808, 0.626889, 0.622156, -0.047442, -0.003955, -0.006695, -0.149058, 0.000000, 0.000000], [-0.206730, 0.608027, -0.119566, 0.132855, 0.312131, 0.250796, -0.445888, 0.443260, 0.000000, 0.000000], [-0.023695, 0.139725, 0.258072, -0.317967, 0.705380, 0.252364, 0.231830, -0.444092, 0.000000, 0.000000]]
fourier: [[97.911006, 99.649366, 99.712047, 109.912627, 349.140276], [50.731256, 55.184354, 56.116213, 69.429203, 69.846045], [79.302237, 79.406164, 81.001677, 86.770230, 278.033829], [14.324123, 14.675768, 19.980826, 21.673435, 167.081479], [37.541236, 40.802177, 43.135369, 43.698128, 357.247753], [72.470500, 75.176627, 77.707043, 82.822258, 430.470860], [40.038945, 40.584196, 40.930494, 42.999904, 333.656444], [8.742259, 9.427476, 10.419950, 14.076943, 84.438257]]
### 4
mean: [-4.360848, 2.465664, -2.292295, -1.038562, -1.495729, -0.140027, -1.389644, 5.248193]
std: [5.806018, 3.193819, 3.340091, 1.029142, 1.342740, 0.797214, 2.479766, 7.346129]
pca: [[-0.533200, 0.457039, -0.408785, 0.496146, -0.165588, -0.037435, -0.227673, 0.113536, 0.000000, 0.000000], [0.293659, -0.054236, -0.129431, 0.391877, 0.343407, 0.396693, -0.324419, -0.599967, 0.000000, 0.000000], [-0.306843, -0.218375, 0.671077, 0.388183, 0.375102, -0.074304, -0.210752, 0.257859, 0.000000, 0.000000], [-0.094344, 0.123663, -0.274585, 0.053192, 0.703038, 0.029096, 0.622647, 0.121581, 0.000000, 0.000000], [-0.121129, 0.407731, 0.365104, -0.118214, -0.161314, 0.774528, 0.206824, 0.055821, 0.000000, 0.000000], [0.061792, 0.674102, 0.235973, -0.363242, 0.315295, -0.354048, -0.286390, -0.217624, 0.000000, 0.000000], [-0.227666, -0.215037, -0.312491, -0.486586, 0.305158, 0.327309, -0.511378, 0.325194, 0.000000, 0.000000], [0.675342, 0.241445, -0.061371, 0.253121, 0.033672, 0.049907, -0.156552, 0.624218, 0.000000, 0.000000]]
fourier: [[100.511513, 103.283590, 107.587200, 110.486179, 392.476377], [55.238956, 57.184326, 57.914922, 59.635986, 221.909802], [57.569679, 58.660972, 60.193328, 60.630295, 206.306545], [17.794730, 18.192028, 19.286860, 19.810073, 93.470550], [23.159917, 23.258730, 26.826588, 27.002637, 134.615626], [13.091061, 13.247273, 13.462259, 13.511112, 14.355442], [42.717330, 42.875221, 44.628652, 44.643835, 125.067920], [126.688661, 130.416182, 131.968922, 134.871586, 472.337397]]
### 6
mean: [-2.054774, -3.014046, -0.290611, 3.405414, -0.565704, -2.616429, -3.319432, 2.895852]
std: [2.280389, 2.738260, 0.152644, 5.196684, 0.226853, 2.524116, 4.230748, 4.405604]
pca: [[-0.249221, 0.148928, 0.599966, 0.266021, -0.346587, -0.015297, -0.431726, -0.422183, 0.000000, 0.000000], [-0.299346, 0.460590, -0.385722, -0.448078, -0.094040, 0.074666, 0.140775, -0.560765, 0.000000, 0.000000], [0.012835, 0.094775, 0.343089, 0.104427, -0.381212, -0.006695, 0.846250, 0.027038, 0.000000, 0.000000], [0.569139, 0.450762, 0.378237, -0.347985, 0.274530, -0.361367, -0.048011, -0.021900, 0.000000, 0.000000], [-0.013545, 0.446279, -0.396370, 0.477190, -0.262864, -0.541622, -0.077614, 0.217612, 0.000000, 0.000000], [-0.276300, 0.325990, 0.144021, -0.394945, -0.296927, 0.262410, -0.194981, 0.667550, 0.000000, 0.000000], [-0.463431, 0.345149, 0.185129, 0.304361, 0.699947, 0.104647, 0.168724, 0.099248, 0.000000, 0.000000], [0.482601, 0.359091, -0.135504, 0.346601, -0.056164, 0.700282, -0.053304, -0.057141, 0.000000, 0.000000]]
fourier: [[39.943043, 40.300360, 40.519057, 41.534813, 184.929664], [47.813252, 48.077121, 48.631065, 51.978599, 271.264147], [2.578142, 2.791502, 2.883503, 4.147812, 26.154971], [89.076695, 92.665197, 93.911615, 94.957056, 306.487260], [3.371865, 3.661660, 3.855642, 4.759655, 50.913351], [44.085101, 44.418511, 45.270669, 46.475238, 235.478607], [72.505510, 75.179074, 75.187598, 77.852198, 298.748927], [75.866032, 76.380495, 78.818820, 79.310585, 260.626722]]
### 8
mean: [-4.749645]
std: [7.502120]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[127.321439, 131.722757, 134.217258, 138.956543, 427.468033]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 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.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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[
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"network.4.bias": [
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"network.6.weight": [
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[
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[
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],
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],
"network.8.weight": [
[
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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [1.408930, 0.126028, 0.869156, 4.286956, 0.590684, -0.428754, -0.292796, -2.945729]
std: [2.689689, 2.531773, 2.489972, 3.795273, 2.164907, 1.896502, 3.479546, 1.724932]
pca: [[-0.377849, 0.253761, 0.390456, -0.130095, 0.235107, 0.731344, -0.013666, 0.182013, 0.000000, 0.000000], [0.000943, 0.709884, -0.298043, 0.460858, 0.028010, 0.066816, -0.267312, -0.343714, 0.000000, 0.000000], [0.373649, 0.263057, -0.080745, -0.248230, 0.553223, -0.024732, 0.624181, -0.163649, 0.000000, 0.000000], [0.560378, 0.185167, 0.532160, -0.312150, -0.010154, -0.088606, -0.496784, -0.127709, 0.000000, 0.000000], [-0.303460, 0.139336, 0.331507, 0.260985, 0.489609, -0.582091, -0.095522, 0.350450, 0.000000, 0.000000], [-0.022965, 0.439239, -0.378878, -0.496143, -0.211734, -0.130602, -0.080430, 0.590320, 0.000000, 0.000000], [0.556061, -0.122022, -0.085505, 0.497159, 0.101010, 0.288383, -0.022843, 0.572310, 0.000000, 0.000000], [-0.042115, -0.317724, -0.456338, -0.224035, 0.585687, 0.114706, -0.525210, -0.082518, 0.000000, 0.000000]]
fourier: [[39.025147, 42.147014, 49.989715, 58.598319, 126.803664], [38.041696, 39.733425, 41.005347, 42.903607, 47.502479], [39.144259, 41.247619, 42.845572, 45.058974, 78.224012], [66.850931, 67.808312, 67.827615, 70.615300, 385.825992], [33.560099, 37.311018, 40.927374, 47.904648, 53.161551], [28.619510, 28.807946, 31.107513, 38.587871, 40.989831], [51.749818, 57.409691, 62.817765, 65.825357, 72.037087], [25.722208, 25.849109, 30.226851, 33.918174, 265.115635]]
### 2
mean: [3.879336, 0.776067, 3.089265, -1.856461, -3.969419, -4.783010, -3.707294, -0.938203]
std: [5.567632, 3.018757, 4.541126, 0.990484, 2.287837, 4.137091, 2.319511, 0.619990]
pca: [[0.611514, 0.084158, 0.392037, 0.042728, 0.182142, -0.490545, -0.434739, -0.025323, 0.000000, 0.000000], [0.295104, 0.586742, -0.283990, 0.438613, -0.116541, -0.094677, 0.393715, -0.343596, 0.000000, 0.000000], [0.498029, 0.010296, 0.357207, 0.026365, -0.266848, 0.708519, 0.104403, 0.198650, 0.000000, 0.000000], [-0.067957, 0.239069, 0.322304, -0.219041, 0.021026, -0.347325, 0.587574, 0.565729, 0.000000, 0.000000], [-0.220655, 0.448436, 0.245547, -0.501286, -0.533249, -0.034137, -0.217353, -0.325383, 0.000000, 0.000000], [-0.440824, -0.032808, 0.626889, 0.622156, -0.047442, -0.003955, -0.006695, -0.149058, 0.000000, 0.000000], [-0.206730, 0.608027, -0.119566, 0.132855, 0.312131, 0.250796, -0.445888, 0.443260, 0.000000, 0.000000], [-0.023695, 0.139725, 0.258072, -0.317967, 0.705380, 0.252364, 0.231830, -0.444092, 0.000000, 0.000000]]
fourier: [[97.911006, 99.649366, 99.712047, 109.912627, 349.140276], [50.731256, 55.184354, 56.116213, 69.429203, 69.846045], [79.302237, 79.406164, 81.001677, 86.770230, 278.033829], [14.324123, 14.675768, 19.980826, 21.673435, 167.081479], [37.541236, 40.802177, 43.135369, 43.698128, 357.247753], [72.470500, 75.176627, 77.707043, 82.822258, 430.470860], [40.038945, 40.584196, 40.930494, 42.999904, 333.656444], [8.742259, 9.427476, 10.419950, 14.076943, 84.438257]]
### 4
mean: [-4.360848, 2.465664, -2.292295, -1.038562, -1.495729, -0.140027, -1.389644, 5.248193]
std: [5.806018, 3.193819, 3.340091, 1.029142, 1.342740, 0.797214, 2.479766, 7.346129]
pca: [[-0.533200, 0.457039, -0.408785, 0.496146, -0.165588, -0.037435, -0.227673, 0.113536, 0.000000, 0.000000], [0.293659, -0.054236, -0.129431, 0.391877, 0.343407, 0.396693, -0.324419, -0.599967, 0.000000, 0.000000], [-0.306843, -0.218375, 0.671077, 0.388183, 0.375102, -0.074304, -0.210752, 0.257859, 0.000000, 0.000000], [-0.094344, 0.123663, -0.274585, 0.053192, 0.703038, 0.029096, 0.622647, 0.121581, 0.000000, 0.000000], [-0.121129, 0.407731, 0.365104, -0.118214, -0.161314, 0.774528, 0.206824, 0.055821, 0.000000, 0.000000], [0.061792, 0.674102, 0.235973, -0.363242, 0.315295, -0.354048, -0.286390, -0.217624, 0.000000, 0.000000], [-0.227666, -0.215037, -0.312491, -0.486586, 0.305158, 0.327309, -0.511378, 0.325194, 0.000000, 0.000000], [0.675342, 0.241445, -0.061371, 0.253121, 0.033672, 0.049907, -0.156552, 0.624218, 0.000000, 0.000000]]
fourier: [[100.511513, 103.283590, 107.587200, 110.486179, 392.476377], [55.238956, 57.184326, 57.914922, 59.635986, 221.909802], [57.569679, 58.660972, 60.193328, 60.630295, 206.306545], [17.794730, 18.192028, 19.286860, 19.810073, 93.470550], [23.159917, 23.258730, 26.826588, 27.002637, 134.615626], [13.091061, 13.247273, 13.462259, 13.511112, 14.355442], [42.717330, 42.875221, 44.628652, 44.643835, 125.067920], [126.688661, 130.416182, 131.968922, 134.871586, 472.337397]]
### 6
mean: [-2.054774, -3.014046, -0.290611, 3.405414, -0.565704, -2.616429, -3.319432, 2.895852]
std: [2.280389, 2.738260, 0.152644, 5.196684, 0.226853, 2.524116, 4.230748, 4.405604]
pca: [[-0.249221, 0.148928, 0.599966, 0.266021, -0.346587, -0.015297, -0.431726, -0.422183, 0.000000, 0.000000], [-0.299346, 0.460590, -0.385722, -0.448078, -0.094040, 0.074666, 0.140775, -0.560765, 0.000000, 0.000000], [0.012835, 0.094775, 0.343089, 0.104427, -0.381212, -0.006695, 0.846250, 0.027038, 0.000000, 0.000000], [0.569139, 0.450762, 0.378237, -0.347985, 0.274530, -0.361367, -0.048011, -0.021900, 0.000000, 0.000000], [-0.013545, 0.446279, -0.396370, 0.477190, -0.262864, -0.541622, -0.077614, 0.217612, 0.000000, 0.000000], [-0.276300, 0.325990, 0.144021, -0.394945, -0.296927, 0.262410, -0.194981, 0.667550, 0.000000, 0.000000], [-0.463431, 0.345149, 0.185129, 0.304361, 0.699947, 0.104647, 0.168724, 0.099248, 0.000000, 0.000000], [0.482601, 0.359091, -0.135504, 0.346601, -0.056164, 0.700282, -0.053304, -0.057141, 0.000000, 0.000000]]
fourier: [[39.943043, 40.300360, 40.519057, 41.534813, 184.929664], [47.813252, 48.077121, 48.631065, 51.978599, 271.264147], [2.578142, 2.791502, 2.883503, 4.147812, 26.154971], [89.076695, 92.665197, 93.911615, 94.957056, 306.487260], [3.371865, 3.661660, 3.855642, 4.759655, 50.913351], [44.085101, 44.418511, 45.270669, 46.475238, 235.478607], [72.505510, 75.179074, 75.187598, 77.852198, 298.748927], [75.866032, 76.380495, 78.818820, 79.310585, 260.626722]]
### 8
mean: [-4.749645]
std: [7.502120]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[127.321439, 131.722757, 134.217258, 138.956543, 427.468033]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 0.6808053255081177, "train_acc": 0.58, "val_loss": 0.7243219017982483, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6777332425117493, "train_acc": 0.58, "val_loss": 0.7262217998504639, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6740553379058838, "train_acc": 0.58, "val_loss": 0.7378925085067749, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6476514339447021, "train_acc": 0.58, "val_loss": 0.6719930768013, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6560133397579193, "train_acc": 0.51, "val_loss": 0.6417353749275208, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6518884897232056, "train_acc": 0.49, "val_loss": 0.6352357864379883, "val_acc": 0.64}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.6278698444366455, "train_acc": 0.595, "val_loss": 0.6171998381614685, "val_acc": 0.64}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.6143420040607452, "train_acc": 0.615, "val_loss": 0.7040460109710693, "val_acc": 0.54}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5988206267356873, "train_acc": 0.645, "val_loss": 0.5964385867118835, "val_acc": 0.66}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.5763233602046967, "train_acc": 0.665, "val_loss": 0.5130069255828857, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.540149062871933, "train_acc": 0.735, "val_loss": 0.4521141052246094, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.5051649510860443, "train_acc": 0.735, "val_loss": 0.4408845603466034, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.48969006538391113, "train_acc": 0.75, "val_loss": 0.42857280373573303, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.4892701506614685, "train_acc": 0.75, "val_loss": 0.46551209688186646, "val_acc": 0.78}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.7243219017982483, "final_val_loss": 0.6719930768013, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.6417353749275208, "final_val_loss": 0.46551209688186646, "initial_val_acc": 0.46, "final_val_acc": 0.78, "best_val_acc": 0.84, "best_epoch": 11}, "improvement": 0.37999999999999995, "first_improvement_epoch": 3}}
|
9,754
|
{"target_pattern": "contains_abc", "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": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3869, "learning_rate": 0.0776518307751232, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [2.853221, 0.394555, -2.076854, 2.149335, 0.630228, -0.438599]
std: [2.873562, 3.007553, 2.676653, 3.685066, 2.761616, 1.335993]
pca: [[0.503542, -0.072367, -0.282111, 0.534277, 0.452806, -0.413687, 0.000000, 0.000000, 0.000000, 0.000000], [-0.395678, -0.542545, -0.204219, 0.570933, -0.425223, 0.024480, 0.000000, 0.000000, 0.000000, 0.000000], [-0.401825, 0.215644, 0.713262, 0.342025, 0.194812, -0.358272, 0.000000, 0.000000, 0.000000, 0.000000], [0.569128, -0.457478, 0.607718, 0.055981, -0.147061, 0.269678, 0.000000, 0.000000, 0.000000, 0.000000], [0.231255, 0.663311, -0.012813, 0.474146, -0.398571, 0.350290, 0.000000, 0.000000, 0.000000, 0.000000], [-0.225909, -0.068110, -0.021913, 0.208935, 0.629059, 0.710265, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.745807, 51.155408, 53.953187, 56.773385, 256.789891], [45.741623, 49.766834, 53.947343, 58.507802, 61.244566], [42.162814, 48.172250, 48.326970, 52.968130, 186.916896], [59.031296, 60.004692, 61.469807, 67.017662, 193.440129], [48.455408, 53.724544, 56.720523, 57.689908, 59.414882], [22.234870, 22.356956, 25.428836, 32.657530, 39.473895]]
### 2
mean: [0.985614, 2.198802, -0.638069, 1.863116, 1.999110, -2.622966]
std: [3.274674, 2.349700, 1.933552, 3.453407, 2.111575, 2.642688]
pca: [[0.249209, 0.771433, 0.190859, -0.413566, -0.362292, 0.063765, 0.000000, 0.000000, 0.000000, 0.000000], [0.426420, -0.147652, -0.529162, 0.049784, -0.237639, 0.676315, 0.000000, 0.000000, 0.000000, 0.000000], [-0.109857, 0.473720, -0.075987, 0.165415, 0.769659, 0.371495, 0.000000, 0.000000, 0.000000, 0.000000], [0.605574, -0.339256, 0.458954, -0.387615, 0.390569, 0.068978, 0.000000, 0.000000, 0.000000, 0.000000], [0.380225, 0.132887, 0.409606, 0.803231, -0.157448, -0.004688, 0.000000, 0.000000, 0.000000, 0.000000], [-0.482391, -0.161015, 0.547148, -0.060798, -0.206306, 0.629081, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[57.234722, 59.657058, 65.369394, 67.068688, 88.705280], [36.676670, 41.578572, 43.118028, 52.564981, 197.892161], [34.474052, 36.001455, 41.761146, 42.049672, 57.426174], [51.492790, 54.786016, 71.076137, 74.792026, 167.680434], [35.716662, 36.562727, 36.915759, 38.640564, 179.919866], [43.713336, 44.002435, 46.626667, 47.119721, 236.066917]]
### 4
mean: [4.906789, -4.093917, -3.760273, 7.024174, 5.336951, -3.790556]
std: [5.456309, 4.875300, 4.897861, 7.266006, 5.986534, 4.659148]
pca: [[0.399070, 0.242518, 0.387718, 0.747665, -0.044936, 0.265672, 0.000000, 0.000000, 0.000000, 0.000000], [-0.355529, 0.358936, 0.514115, -0.035917, -0.456804, -0.520086, 0.000000, 0.000000, 0.000000, 0.000000], [-0.359047, 0.068752, -0.071976, 0.403656, 0.714335, -0.433551, 0.000000, 0.000000, 0.000000, 0.000000], [0.531454, -0.362939, 0.528119, -0.297890, 0.313366, -0.346390, 0.000000, 0.000000, 0.000000, 0.000000], [0.432569, 0.779610, -0.265851, -0.279280, 0.177882, -0.157407, 0.000000, 0.000000, 0.000000, 0.000000], [-0.340395, 0.260974, 0.480202, -0.331714, 0.386260, 0.571139, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[87.593817, 90.156071, 101.215515, 112.403061, 441.611017], [72.644738, 73.146468, 88.998237, 104.038100, 368.452548], [76.236685, 77.259768, 91.945758, 102.584892, 338.424491], [111.395473, 114.034909, 133.819608, 149.132250, 632.175640], [99.843113, 106.632728, 115.307266, 127.936119, 480.325626], [69.294124, 70.060388, 84.992277, 99.190366, 341.150020]]
### 6
mean: [-11.793316, -5.699048, -9.066129, 12.054610, 8.053125, 9.227901]
std: [14.196720, 7.151926, 11.362433, 13.456970, 8.966899, 10.237310]
pca: [[0.519114, 0.250209, 0.652892, -0.109721, 0.478738, 0.020490, 0.000000, 0.000000, 0.000000, 0.000000], [0.261500, -0.149371, -0.470163, 0.281069, 0.473572, 0.620470, 0.000000, 0.000000, 0.000000, 0.000000], [0.415498, 0.033020, 0.131841, 0.764858, -0.469947, -0.055051, 0.000000, 0.000000, 0.000000, 0.000000], [-0.491978, -0.563554, 0.474873, 0.376273, 0.264078, 0.059508, 0.000000, 0.000000, 0.000000, 0.000000], [-0.327729, 0.570001, -0.193694, 0.426294, 0.436335, -0.397568, 0.000000, 0.000000, 0.000000, 0.000000], [-0.374234, 0.521056, 0.268841, 0.025417, -0.256054, 0.670794, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[224.770894, 235.121348, 270.104737, 297.195132, 1061.398410], [114.269992, 120.550524, 138.007491, 151.155918, 512.914350], [181.181675, 189.739618, 216.983139, 238.265626, 815.951543], [213.256838, 223.816978, 255.829469, 282.916090, 1084.914862], [142.232308, 150.053223, 173.913390, 189.264516, 724.781331], [163.027744, 172.196910, 198.487567, 216.451782, 830.511119]]
### 8
mean: [-20.254148]
std: [24.023815]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[378.468198, 404.178510, 467.505492, 510.792906, 1822.873408]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: 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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0.233889,
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0.559321,
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[
-0.249075,
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1.036115,
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[
-0.012551,
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0.316847,
0.610664,
0.23512,
-0.471977
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[
-0.69839,
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0.160755,
-0.256137,
0.168298,
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]
],
"network.2.bias": [
-0.640496,
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-0.631583,
0.095963,
-0.006075,
0.137361
],
"network.4.weight": [
[
0.693908,
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-0.524192,
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[
-0.613978,
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[
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1.127419,
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[
-0.462607,
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],
"network.4.bias": [
-0.349857,
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-0.053158,
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"network.6.weight": [
[
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}
## Activation Signature
### 0
mean: [2.853221, 0.394555, -2.076854, 2.149335, 0.630228, -0.438599]
std: [2.873562, 3.007553, 2.676653, 3.685066, 2.761616, 1.335993]
pca: [[0.503542, -0.072367, -0.282111, 0.534277, 0.452806, -0.413687, 0.000000, 0.000000, 0.000000, 0.000000], [-0.395678, -0.542545, -0.204219, 0.570933, -0.425223, 0.024480, 0.000000, 0.000000, 0.000000, 0.000000], [-0.401825, 0.215644, 0.713262, 0.342025, 0.194812, -0.358272, 0.000000, 0.000000, 0.000000, 0.000000], [0.569128, -0.457478, 0.607718, 0.055981, -0.147061, 0.269678, 0.000000, 0.000000, 0.000000, 0.000000], [0.231255, 0.663311, -0.012813, 0.474146, -0.398571, 0.350290, 0.000000, 0.000000, 0.000000, 0.000000], [-0.225909, -0.068110, -0.021913, 0.208935, 0.629059, 0.710265, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.745807, 51.155408, 53.953187, 56.773385, 256.789891], [45.741623, 49.766834, 53.947343, 58.507802, 61.244566], [42.162814, 48.172250, 48.326970, 52.968130, 186.916896], [59.031296, 60.004692, 61.469807, 67.017662, 193.440129], [48.455408, 53.724544, 56.720523, 57.689908, 59.414882], [22.234870, 22.356956, 25.428836, 32.657530, 39.473895]]
### 2
mean: [0.985614, 2.198802, -0.638069, 1.863116, 1.999110, -2.622966]
std: [3.274674, 2.349700, 1.933552, 3.453407, 2.111575, 2.642688]
pca: [[0.249209, 0.771433, 0.190859, -0.413566, -0.362292, 0.063765, 0.000000, 0.000000, 0.000000, 0.000000], [0.426420, -0.147652, -0.529162, 0.049784, -0.237639, 0.676315, 0.000000, 0.000000, 0.000000, 0.000000], [-0.109857, 0.473720, -0.075987, 0.165415, 0.769659, 0.371495, 0.000000, 0.000000, 0.000000, 0.000000], [0.605574, -0.339256, 0.458954, -0.387615, 0.390569, 0.068978, 0.000000, 0.000000, 0.000000, 0.000000], [0.380225, 0.132887, 0.409606, 0.803231, -0.157448, -0.004688, 0.000000, 0.000000, 0.000000, 0.000000], [-0.482391, -0.161015, 0.547148, -0.060798, -0.206306, 0.629081, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[57.234722, 59.657058, 65.369394, 67.068688, 88.705280], [36.676670, 41.578572, 43.118028, 52.564981, 197.892161], [34.474052, 36.001455, 41.761146, 42.049672, 57.426174], [51.492790, 54.786016, 71.076137, 74.792026, 167.680434], [35.716662, 36.562727, 36.915759, 38.640564, 179.919866], [43.713336, 44.002435, 46.626667, 47.119721, 236.066917]]
### 4
mean: [4.906789, -4.093917, -3.760273, 7.024174, 5.336951, -3.790556]
std: [5.456309, 4.875300, 4.897861, 7.266006, 5.986534, 4.659148]
pca: [[0.399070, 0.242518, 0.387718, 0.747665, -0.044936, 0.265672, 0.000000, 0.000000, 0.000000, 0.000000], [-0.355529, 0.358936, 0.514115, -0.035917, -0.456804, -0.520086, 0.000000, 0.000000, 0.000000, 0.000000], [-0.359047, 0.068752, -0.071976, 0.403656, 0.714335, -0.433551, 0.000000, 0.000000, 0.000000, 0.000000], [0.531454, -0.362939, 0.528119, -0.297890, 0.313366, -0.346390, 0.000000, 0.000000, 0.000000, 0.000000], [0.432569, 0.779610, -0.265851, -0.279280, 0.177882, -0.157407, 0.000000, 0.000000, 0.000000, 0.000000], [-0.340395, 0.260974, 0.480202, -0.331714, 0.386260, 0.571139, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[87.593817, 90.156071, 101.215515, 112.403061, 441.611017], [72.644738, 73.146468, 88.998237, 104.038100, 368.452548], [76.236685, 77.259768, 91.945758, 102.584892, 338.424491], [111.395473, 114.034909, 133.819608, 149.132250, 632.175640], [99.843113, 106.632728, 115.307266, 127.936119, 480.325626], [69.294124, 70.060388, 84.992277, 99.190366, 341.150020]]
### 6
mean: [-11.793316, -5.699048, -9.066129, 12.054610, 8.053125, 9.227901]
std: [14.196720, 7.151926, 11.362433, 13.456970, 8.966899, 10.237310]
pca: [[0.519114, 0.250209, 0.652892, -0.109721, 0.478738, 0.020490, 0.000000, 0.000000, 0.000000, 0.000000], [0.261500, -0.149371, -0.470163, 0.281069, 0.473572, 0.620470, 0.000000, 0.000000, 0.000000, 0.000000], [0.415498, 0.033020, 0.131841, 0.764858, -0.469947, -0.055051, 0.000000, 0.000000, 0.000000, 0.000000], [-0.491978, -0.563554, 0.474873, 0.376273, 0.264078, 0.059508, 0.000000, 0.000000, 0.000000, 0.000000], [-0.327729, 0.570001, -0.193694, 0.426294, 0.436335, -0.397568, 0.000000, 0.000000, 0.000000, 0.000000], [-0.374234, 0.521056, 0.268841, 0.025417, -0.256054, 0.670794, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[224.770894, 235.121348, 270.104737, 297.195132, 1061.398410], [114.269992, 120.550524, 138.007491, 151.155918, 512.914350], [181.181675, 189.739618, 216.983139, 238.265626, 815.951543], [213.256838, 223.816978, 255.829469, 282.916090, 1084.914862], [142.232308, 150.053223, 173.913390, 189.264516, 724.781331], [163.027744, 172.196910, 198.487567, 216.451782, 830.511119]]
### 8
mean: [-20.254148]
std: [24.023815]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[378.468198, 404.178510, 467.505492, 510.792906, 1822.873408]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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"std": 10.237310409545898, "pca": [-0.37423381209373474, 0.5210555195808411, 0.2688409090042114, 0.02541656605899334, -0.25605401396751404, 0.6707943677902222, 0.0, 0.0, 0.0, 0.0], "fourier": [163.0277435830155, 172.19690994134777, 198.4875667183831, 216.45178156083995, 830.511118978262]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -20.254148483276367, "std": 24.023815155029297, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [378.46819786518273, 404.1785104412072, 467.505491597717, 510.7929061452656, 1822.8734078407288]}}, "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": [[1.129021, -0.027359, 0.603632, 0.377693, -0.177505], [-0.991118, 1.128595, -0.807328, 0.186218, 0.17873], [-1.186953, 0.274676, -0.033539, -0.811618, 0.039342], [1.556915, 0.735543, -0.2184, -0.260689, -0.180009], [0.222236, -0.877051, 1.110997, -0.22706, 0.300023], [-0.607718, 0.236988, -0.102511, 0.015131, -0.169321]], "network.0.bias": [-0.353868, 0.638047, 0.66173, 0.108776, -0.25201, 0.276343], "network.2.weight": [[0.466289, -0.758036, -0.452903, 0.144162, 0.685635, 0.875275], [0.510056, 0.514647, 0.387373, 0.274937, -0.479643, 0.370324], [0.233889, -0.511719, -0.841201, -0.283391, 0.559321, 0.354807], [-0.249075, 0.674285, -0.006224, 1.036115, -0.508816, -0.849897], [-0.012551, 0.305696, 0.316847, 0.610664, 0.23512, -0.471977], [-0.69839, -0.231348, 0.160755, -0.256137, 0.168298, -0.694638]], "network.2.bias": [-0.640496, -0.06713, -0.631583, 0.095963, -0.006075, 0.137361], "network.4.weight": [[0.693908, 0.476683, 0.850301, 0.855587, 0.389219, -0.083948], [-0.524192, -0.472979, -0.967412, -1.270448, 0.272246, 0.16071], [-0.613978, -0.23482, -0.667319, -1.110539, -0.120374, 0.023012], [0.810333, 0.592404, 0.817141, 1.454553, 0.294251, -0.081154], [1.127419, -0.05521, 0.969724, 1.394506, 0.028152, -0.158827], [-0.462607, -0.488347, -1.018371, -1.128101, 0.156187, 0.275848]], "network.4.bias": [-0.349857, 0.56909, 0.800892, 0.166718, -0.053158, 0.730115], "network.6.weight": [[-1.094737, 0.434999, 1.092144, -0.564429, -0.663937, 0.476534], [-0.248857, 0.71448, 0.456106, -0.307789, -0.577657, 0.43032], [-0.91749, 0.265958, 0.757613, -0.36834, -0.589918, 0.940791], [0.600934, -0.127203, -0.080363, 0.626478, 0.935533, -0.716242], [0.31538, -1.049351, -0.702041, 0.461415, 0.61511, -1.171945], [0.3179, -1.083409, -0.757528, 0.490801, 0.789748, -1.161459]], "network.6.bias": [0.866415, 0.62883, 0.970637, -0.175947, 0.229633, 0.262552], "network.8.weight": [[0.917877, 0.43357, 0.934937, -0.732218, -0.500673, -0.894514]], "network.8.bias": [0.324752]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6749393939971924, "train_acc": 0.595, "val_loss": 0.7244131565093994, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6689148545265198, "train_acc": 0.595, "val_loss": 0.6784799098968506, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6186522543430328, "train_acc": 0.585, "val_loss": 0.4808935821056366, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5323094129562378, "train_acc": 0.735, "val_loss": 0.2691567540168762, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.34489233791828156, "train_acc": 0.875, "val_loss": 0.23884464800357819, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.24329516291618347, "train_acc": 0.92, "val_loss": 0.21603286266326904, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.19904778897762299, "train_acc": 0.94, "val_loss": 0.17381517589092255, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.11801912263035774, "train_acc": 0.95, "val_loss": 0.08324840664863586, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.08467547036707401, "train_acc": 0.965, "val_loss": 0.10684990137815475, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.0730171762406826, "train_acc": 0.985, "val_loss": 0.03673318028450012, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.05892332084476948, "train_acc": 0.985, "val_loss": 0.007626560982316732, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.04908479331061244, "train_acc": 0.995, "val_loss": 0.013133023865520954, "val_acc": 1.0}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7244131565093994, "final_val_loss": 0.6784799098968506, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.4808935821056366, "final_val_loss": 0.013133023865520954, "initial_val_acc": 0.72, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 10}, "improvement": 0.54, "first_improvement_epoch": 1}}
|
9,755
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.52, "improved_accuracy": 0.9, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9874, "learning_rate": 0.05109046951383554, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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],
"network.0.bias": [
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"network.2.weight": [
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],
[
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1.079138,
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0.546933
],
[
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],
[
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1.017486,
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],
[
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],
[
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]
],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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[
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[
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[
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"network.8.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.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [0.430676, 0.137786, 2.017708, 2.318104, -3.240819, 1.667059]
std: [0.947954, 2.871648, 2.648128, 2.806002, 2.162316, 2.300340]
pca: [[0.120360, -0.110332, 0.141878, 0.618598, 0.221663, 0.722090, 0.000000, 0.000000, 0.000000, 0.000000], [0.459799, 0.688451, -0.298323, 0.059808, -0.439193, 0.170752, 0.000000, 0.000000, 0.000000, 0.000000], [0.512069, -0.057933, -0.440309, -0.219273, 0.700893, -0.035003, 0.000000, 0.000000, 0.000000, 0.000000], [0.514725, -0.220808, 0.582214, -0.504043, -0.173698, 0.251194, 0.000000, 0.000000, 0.000000, 0.000000], [-0.242043, 0.679442, 0.471352, -0.150864, 0.483522, 0.032361, 0.000000, 0.000000, 0.000000, 0.000000], [0.434001, 0.010382, 0.368588, 0.537457, 0.052524, -0.619725, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.054046, 15.587145, 17.985901, 18.987334, 38.760842], [39.995047, 40.448599, 43.857506, 47.196703, 49.410223], [43.306761, 45.516771, 47.613712, 57.943684, 181.593689], [43.761423, 43.767391, 44.404888, 46.967419, 208.629379], [35.575461, 35.582332, 41.853175, 43.335865, 291.673725], [32.876980, 35.452981, 36.270988, 42.283357, 150.035330]]
### 2
mean: [-2.631502, 5.757930, -1.481892, 5.344924, -1.436990, 5.813727]
std: [3.310916, 6.281649, 1.148036, 5.854411, 1.073576, 6.039572]
pca: [[-0.295728, 0.547730, 0.720362, 0.134502, 0.210934, 0.176155, 0.000000, 0.000000, 0.000000, 0.000000], [0.565998, 0.037714, 0.221561, 0.667479, -0.152156, -0.400569, 0.000000, 0.000000, 0.000000, 0.000000], [-0.100552, 0.246040, -0.465742, 0.577492, -0.068442, 0.611765, 0.000000, 0.000000, 0.000000, 0.000000], [0.527110, -0.405458, 0.326874, -0.107099, 0.222286, 0.624525, 0.000000, 0.000000, 0.000000, 0.000000], [-0.096039, -0.154693, -0.181715, 0.233056, 0.914090, -0.209646, 0.000000, 0.000000, 0.000000, 0.000000], [0.543150, 0.670602, -0.274239, -0.370269, 0.206641, -0.016566, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.757593, 56.185973, 58.678988, 59.925976, 236.835177], [102.996113, 107.382090, 110.430993, 113.184619, 518.213689], [18.303697, 18.804598, 19.020775, 19.065241, 133.370273], [94.078792, 99.003272, 101.549346, 104.520941, 481.043138], [17.084868, 18.254191, 18.339318, 19.516113, 129.329159], [99.292749, 104.080396, 105.641131, 111.396036, 523.235440]]
### 4
mean: [-4.870231, 11.141441, -3.375692, 9.512083, 10.486143, -4.099593]
std: [5.187603, 11.856291, 3.200763, 10.357977, 11.502297, 4.248350]
pca: [[-0.248538, 0.630579, 0.540100, 0.054182, -0.322169, 0.377045, 0.000000, 0.000000, 0.000000, 0.000000], [0.568242, -0.460134, 0.207748, -0.029404, -0.378404, 0.527413, 0.000000, 0.000000, 0.000000, 0.000000], [-0.153346, -0.352485, 0.680814, 0.043659, 0.620828, 0.037385, 0.000000, 0.000000, 0.000000, 0.000000], [0.496426, 0.451121, -0.122412, -0.433829, 0.527757, 0.261402, 0.000000, 0.000000, 0.000000, 0.000000], [0.551288, 0.250579, 0.184721, 0.675832, 0.050861, -0.373944, 0.000000, 0.000000, 0.000000, 0.000000], [-0.203613, -0.010060, -0.390536, 0.591048, 0.294066, 0.608367, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[84.866238, 89.070743, 91.094282, 94.532280, 438.320792], [192.920119, 202.638981, 207.345714, 215.249680, 1002.729761], [52.199074, 54.496427, 56.096122, 57.351109, 303.812300], [167.980066, 176.629663, 181.021655, 186.879799, 856.087456], [187.399657, 195.866510, 200.856228, 208.069540, 943.752926], [69.146072, 72.631857, 74.175563, 76.898893, 368.963389]]
### 6
mean: [16.916655, -8.159910, 18.469551, -6.882466, -6.402516, -2.201402]
std: [18.754862, 8.797012, 20.266060, 7.332889, 6.288133, 1.988301]
pca: [[0.612663, -0.323988, 0.604557, 0.033129, -0.096937, 0.379068, 0.000000, 0.000000, 0.000000, 0.000000], [-0.287371, 0.001492, 0.433112, 0.242358, 0.818370, -0.036918, 0.000000, 0.000000, 0.000000, 0.000000], [0.662026, 0.588855, -0.168980, 0.253579, 0.234024, -0.259514, 0.000000, 0.000000, 0.000000, 0.000000], [-0.239529, 0.607098, 0.082525, 0.141692, -0.138072, 0.726710, 0.000000, 0.000000, 0.000000, 0.000000], [-0.205410, 0.312165, 0.614572, 0.121884, -0.457005, -0.508874, 0.000000, 0.000000, 0.000000, 0.000000], [-0.064939, -0.286818, -0.184015, 0.917023, -0.195421, 0.023174, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[304.544405, 320.227654, 328.124968, 339.558851, 1522.498842], [142.794119, 150.158981, 153.860137, 159.129238, 734.391932], [328.804954, 345.773229, 354.502290, 366.161357, 1662.259551], [119.324369, 125.316166, 128.205343, 133.082265, 619.421987], [102.226390, 107.412136, 109.952697, 113.971441, 576.226383], [32.208978, 33.864608, 34.859132, 35.784958, 198.126223]]
### 8
mean: [-8.388117, -8.419028, -5.197795, 11.668202, 25.136486, -10.836035]
std: [9.021976, 9.098273, 5.541477, 13.049456, 27.757050, 11.751333]
pca: [[-0.252793, 0.682015, -0.225654, -0.199569, -0.547229, 0.284155, 0.000000, 0.000000, 0.000000, 0.000000], [-0.254931, 0.342742, 0.850995, -0.169496, 0.254177, -0.003175, 0.000000, 0.000000, 0.000000, 0.000000], [-0.155270, 0.091749, 0.162974, 0.948435, -0.191787, 0.067840, 0.000000, 0.000000, 0.000000, 0.000000], [0.365641, 0.635350, -0.252125, 0.163173, 0.457889, -0.403461, 0.000000, 0.000000, 0.000000, 0.000000], [0.777744, 0.066320, 0.238528, 0.021611, -0.086439, 0.570860, 0.000000, 0.000000, 0.000000, 0.000000], [-0.329269, 0.029948, -0.279041, 0.069446, 0.618075, 0.652672, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[146.555437, 154.067076, 157.956226, 163.065629, 754.930470], [147.849222, 155.413680, 159.327646, 164.492436, 757.712488], [90.069043, 94.672641, 97.053731, 100.203634, 467.801520], [212.227348, 223.043250, 228.631386, 236.077517, 1050.138215], [451.235545, 474.278430, 486.192742, 501.989220, 2262.283585], [191.032191, 200.788635, 205.833432, 212.520030, 975.243204]]
### 10
mean: [-6.651885, 4.031232, 18.588404, -4.178886, 17.447699, 10.423242]
std: [7.121551, 3.326661, 20.964136, 5.506422, 19.591553, 11.831501]
pca: [[-0.219212, -0.421768, 0.052418, 0.851277, 0.134115, 0.169267, 0.000000, 0.000000, 0.000000, 0.000000], [0.102399, 0.242852, -0.070232, -0.021145, 0.955700, 0.108601, 0.000000, 0.000000, 0.000000, 0.000000], [0.645306, -0.212805, -0.688214, 0.072192, -0.089801, 0.226670, 0.000000, 0.000000, 0.000000, 0.000000], [-0.169496, 0.505483, -0.011425, 0.076772, -0.202358, 0.817793, 0.000000, 0.000000, 0.000000, 0.000000], [0.603056, -0.214438, 0.715593, -0.051255, 0.010097, 0.274842, 0.000000, 0.000000, 0.000000, 0.000000], [0.364191, 0.645253, 0.080486, 0.511027, -0.139767, -0.404787, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[115.739246, 121.659087, 124.715243, 128.783734, 598.669571], [54.053248, 56.821426, 58.248173, 60.156700, 362.810909], [340.961996, 358.325786, 367.341121, 379.141150, 1672.956294], [89.623616, 94.167894, 96.540685, 99.593402, 376.099798], [318.700046, 334.911710, 343.341291, 354.325615, 1570.292892], [192.316843, 202.144017, 207.223764, 213.961005, 938.091694]]
### 12
mean: [-10.900047]
std: [14.087358]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[228.751104, 239.878385, 247.243461, 254.617276, 981.004209]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.063135,
0.383297,
-0.237174,
-0.138318,
0.385252
],
[
0.811499,
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0.070686,
-1.057909,
0.210884
],
[
1.151375,
0.118478,
0.035557,
-0.21966,
0.326766
],
[
0.995938,
0.839711,
-0.147686,
-0.15678,
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],
[
-0.587684,
-0.057406,
-0.025703,
-0.551351,
-0.549898
],
[
0.605119,
0.820227,
-0.320086,
-0.532581,
0.425855
]
],
"network.0.bias": [
-0.029442,
0.704778,
0.362755,
0.296634,
-0.490633,
0.704879
],
"network.2.weight": [
[
-0.326247,
0.06887,
-0.759818,
-0.338577,
-0.28309,
-0.248202
],
[
0.272933,
0.737007,
0.502312,
1.079138,
-0.167387,
0.546933
],
[
-0.041521,
0.028101,
-0.01383,
-0.287992,
0.131501,
-0.182129
],
[
0.261539,
0.368146,
0.576597,
1.017486,
-0.21773,
0.586579
],
[
-0.162044,
-0.245165,
0.047995,
-0.211445,
0.367847,
-0.109716
],
[
0.315896,
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0.392506,
0.706856,
-0.174344,
0.906663
]
],
"network.2.bias": [
0.339635,
0.010315,
-0.426159,
-0.01947,
-0.416287,
0.221497
],
"network.4.weight": [
[
0.036733,
-0.501896,
0.194534,
0.040893,
-0.44997,
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],
[
-0.384768,
0.618656,
-0.406614,
0.609942,
-0.033297,
0.729304
],
[
-0.00536,
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-0.32583,
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0.099322,
0.067041
],
[
-0.074244,
0.627951,
0.221775,
0.768283,
0.25496,
0.318544
],
[
-0.802106,
0.650088,
-0.208268,
0.801819,
0.523364,
0.450074
],
[
-0.156685,
-0.066049,
0.191518,
-0.384227,
-0.186201,
-0.263906
]
],
"network.4.bias": [
-0.008467,
0.088631,
-0.463707,
-0.060701,
-0.139219,
-0.126955
],
"network.6.weight": [
[
0.113622,
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0.004671,
0.30879,
0.704308,
-0.124327
],
[
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-0.212688,
-0.119052
],
[
0.050811,
0.103565,
-0.140007,
0.945386,
0.804758,
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],
[
0.101724,
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0.104477,
-0.016533
],
[
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0.2521,
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0.007246,
-0.130373
],
[
-0.360574,
0.205686,
0.326701,
0.032233,
-0.414309,
0.038138
]
],
"network.6.bias": [
-0.430459,
-0.033294,
-0.127,
0.014339,
-0.52856,
-0.449536
],
"network.8.weight": [
[
-0.111348,
0.287886,
-0.34229,
-0.198285,
0.31708,
-0.33241
],
[
-0.186732,
-0.383973,
-0.27633,
-0.382663,
-0.195416,
0.222641
],
[
-0.139304,
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-0.144652,
-0.036,
-0.275882,
-0.033467
],
[
0.50197,
0.166462,
0.179764,
-0.538696,
-0.030824,
-0.161656
],
[
0.811847,
0.11973,
0.619042,
0.22688,
-0.252687,
-0.154399
],
[
-0.337307,
0.34811,
-0.268,
0.119406,
0.349129,
0.216308
]
],
"network.8.bias": [
-0.179072,
-0.152138,
-0.166667,
-0.15236,
-0.046486,
-0.173478
],
"network.10.weight": [
[
0.155008,
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0.002038,
0.165448,
-0.334335,
0.055417
],
[
-0.422887,
-0.082308,
-0.373246,
-0.111422,
0.172219,
0.156307
],
[
-0.187665,
-0.177127,
-0.070249,
0.263455,
0.631515,
-0.068921
],
[
-0.096943,
-0.047317,
-0.103903,
-0.267462,
-0.072701,
-0.138917
],
[
0.05007,
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0.387162,
0.42947,
0.504044,
-0.073984
],
[
0.021606,
0.037778,
0.075195,
-0.18131,
0.511486,
-0.211391
]
],
"network.10.bias": [
-0.178777,
1.002744,
-0.362794,
0.771318,
-0.237291,
-0.317985
],
"network.12.weight": [
[
0.116654,
0.87218,
-0.420856,
0.749566,
-0.390563,
-0.03952
]
],
"network.12.bias": [
0.58018
]
}
## Activation Signature
### 0
mean: [0.430676, 0.137786, 2.017708, 2.318104, -3.240819, 1.667059]
std: [0.947954, 2.871648, 2.648128, 2.806002, 2.162316, 2.300340]
pca: [[0.120360, -0.110332, 0.141878, 0.618598, 0.221663, 0.722090, 0.000000, 0.000000, 0.000000, 0.000000], [0.459799, 0.688451, -0.298323, 0.059808, -0.439193, 0.170752, 0.000000, 0.000000, 0.000000, 0.000000], [0.512069, -0.057933, -0.440309, -0.219273, 0.700893, -0.035003, 0.000000, 0.000000, 0.000000, 0.000000], [0.514725, -0.220808, 0.582214, -0.504043, -0.173698, 0.251194, 0.000000, 0.000000, 0.000000, 0.000000], [-0.242043, 0.679442, 0.471352, -0.150864, 0.483522, 0.032361, 0.000000, 0.000000, 0.000000, 0.000000], [0.434001, 0.010382, 0.368588, 0.537457, 0.052524, -0.619725, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.054046, 15.587145, 17.985901, 18.987334, 38.760842], [39.995047, 40.448599, 43.857506, 47.196703, 49.410223], [43.306761, 45.516771, 47.613712, 57.943684, 181.593689], [43.761423, 43.767391, 44.404888, 46.967419, 208.629379], [35.575461, 35.582332, 41.853175, 43.335865, 291.673725], [32.876980, 35.452981, 36.270988, 42.283357, 150.035330]]
### 2
mean: [-2.631502, 5.757930, -1.481892, 5.344924, -1.436990, 5.813727]
std: [3.310916, 6.281649, 1.148036, 5.854411, 1.073576, 6.039572]
pca: [[-0.295728, 0.547730, 0.720362, 0.134502, 0.210934, 0.176155, 0.000000, 0.000000, 0.000000, 0.000000], [0.565998, 0.037714, 0.221561, 0.667479, -0.152156, -0.400569, 0.000000, 0.000000, 0.000000, 0.000000], [-0.100552, 0.246040, -0.465742, 0.577492, -0.068442, 0.611765, 0.000000, 0.000000, 0.000000, 0.000000], [0.527110, -0.405458, 0.326874, -0.107099, 0.222286, 0.624525, 0.000000, 0.000000, 0.000000, 0.000000], [-0.096039, -0.154693, -0.181715, 0.233056, 0.914090, -0.209646, 0.000000, 0.000000, 0.000000, 0.000000], [0.543150, 0.670602, -0.274239, -0.370269, 0.206641, -0.016566, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.757593, 56.185973, 58.678988, 59.925976, 236.835177], [102.996113, 107.382090, 110.430993, 113.184619, 518.213689], [18.303697, 18.804598, 19.020775, 19.065241, 133.370273], [94.078792, 99.003272, 101.549346, 104.520941, 481.043138], [17.084868, 18.254191, 18.339318, 19.516113, 129.329159], [99.292749, 104.080396, 105.641131, 111.396036, 523.235440]]
### 4
mean: [-4.870231, 11.141441, -3.375692, 9.512083, 10.486143, -4.099593]
std: [5.187603, 11.856291, 3.200763, 10.357977, 11.502297, 4.248350]
pca: [[-0.248538, 0.630579, 0.540100, 0.054182, -0.322169, 0.377045, 0.000000, 0.000000, 0.000000, 0.000000], [0.568242, -0.460134, 0.207748, -0.029404, -0.378404, 0.527413, 0.000000, 0.000000, 0.000000, 0.000000], [-0.153346, -0.352485, 0.680814, 0.043659, 0.620828, 0.037385, 0.000000, 0.000000, 0.000000, 0.000000], [0.496426, 0.451121, -0.122412, -0.433829, 0.527757, 0.261402, 0.000000, 0.000000, 0.000000, 0.000000], [0.551288, 0.250579, 0.184721, 0.675832, 0.050861, -0.373944, 0.000000, 0.000000, 0.000000, 0.000000], [-0.203613, -0.010060, -0.390536, 0.591048, 0.294066, 0.608367, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[84.866238, 89.070743, 91.094282, 94.532280, 438.320792], [192.920119, 202.638981, 207.345714, 215.249680, 1002.729761], [52.199074, 54.496427, 56.096122, 57.351109, 303.812300], [167.980066, 176.629663, 181.021655, 186.879799, 856.087456], [187.399657, 195.866510, 200.856228, 208.069540, 943.752926], [69.146072, 72.631857, 74.175563, 76.898893, 368.963389]]
### 6
mean: [16.916655, -8.159910, 18.469551, -6.882466, -6.402516, -2.201402]
std: [18.754862, 8.797012, 20.266060, 7.332889, 6.288133, 1.988301]
pca: [[0.612663, -0.323988, 0.604557, 0.033129, -0.096937, 0.379068, 0.000000, 0.000000, 0.000000, 0.000000], [-0.287371, 0.001492, 0.433112, 0.242358, 0.818370, -0.036918, 0.000000, 0.000000, 0.000000, 0.000000], [0.662026, 0.588855, -0.168980, 0.253579, 0.234024, -0.259514, 0.000000, 0.000000, 0.000000, 0.000000], [-0.239529, 0.607098, 0.082525, 0.141692, -0.138072, 0.726710, 0.000000, 0.000000, 0.000000, 0.000000], [-0.205410, 0.312165, 0.614572, 0.121884, -0.457005, -0.508874, 0.000000, 0.000000, 0.000000, 0.000000], [-0.064939, -0.286818, -0.184015, 0.917023, -0.195421, 0.023174, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[304.544405, 320.227654, 328.124968, 339.558851, 1522.498842], [142.794119, 150.158981, 153.860137, 159.129238, 734.391932], [328.804954, 345.773229, 354.502290, 366.161357, 1662.259551], [119.324369, 125.316166, 128.205343, 133.082265, 619.421987], [102.226390, 107.412136, 109.952697, 113.971441, 576.226383], [32.208978, 33.864608, 34.859132, 35.784958, 198.126223]]
### 8
mean: [-8.388117, -8.419028, -5.197795, 11.668202, 25.136486, -10.836035]
std: [9.021976, 9.098273, 5.541477, 13.049456, 27.757050, 11.751333]
pca: [[-0.252793, 0.682015, -0.225654, -0.199569, -0.547229, 0.284155, 0.000000, 0.000000, 0.000000, 0.000000], [-0.254931, 0.342742, 0.850995, -0.169496, 0.254177, -0.003175, 0.000000, 0.000000, 0.000000, 0.000000], [-0.155270, 0.091749, 0.162974, 0.948435, -0.191787, 0.067840, 0.000000, 0.000000, 0.000000, 0.000000], [0.365641, 0.635350, -0.252125, 0.163173, 0.457889, -0.403461, 0.000000, 0.000000, 0.000000, 0.000000], [0.777744, 0.066320, 0.238528, 0.021611, -0.086439, 0.570860, 0.000000, 0.000000, 0.000000, 0.000000], [-0.329269, 0.029948, -0.279041, 0.069446, 0.618075, 0.652672, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[146.555437, 154.067076, 157.956226, 163.065629, 754.930470], [147.849222, 155.413680, 159.327646, 164.492436, 757.712488], [90.069043, 94.672641, 97.053731, 100.203634, 467.801520], [212.227348, 223.043250, 228.631386, 236.077517, 1050.138215], [451.235545, 474.278430, 486.192742, 501.989220, 2262.283585], [191.032191, 200.788635, 205.833432, 212.520030, 975.243204]]
### 10
mean: [-6.651885, 4.031232, 18.588404, -4.178886, 17.447699, 10.423242]
std: [7.121551, 3.326661, 20.964136, 5.506422, 19.591553, 11.831501]
pca: [[-0.219212, -0.421768, 0.052418, 0.851277, 0.134115, 0.169267, 0.000000, 0.000000, 0.000000, 0.000000], [0.102399, 0.242852, -0.070232, -0.021145, 0.955700, 0.108601, 0.000000, 0.000000, 0.000000, 0.000000], [0.645306, -0.212805, -0.688214, 0.072192, -0.089801, 0.226670, 0.000000, 0.000000, 0.000000, 0.000000], [-0.169496, 0.505483, -0.011425, 0.076772, -0.202358, 0.817793, 0.000000, 0.000000, 0.000000, 0.000000], [0.603056, -0.214438, 0.715593, -0.051255, 0.010097, 0.274842, 0.000000, 0.000000, 0.000000, 0.000000], [0.364191, 0.645253, 0.080486, 0.511027, -0.139767, -0.404787, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[115.739246, 121.659087, 124.715243, 128.783734, 598.669571], [54.053248, 56.821426, 58.248173, 60.156700, 362.810909], [340.961996, 358.325786, 367.341121, 379.141150, 1672.956294], [89.623616, 94.167894, 96.540685, 99.593402, 376.099798], [318.700046, 334.911710, 343.341291, 354.325615, 1570.292892], [192.316843, 202.144017, 207.223764, 213.961005, 938.091694]]
### 12
mean: [-10.900047]
std: [14.087358]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[228.751104, 239.878385, 247.243461, 254.617276, 981.004209]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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"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": [[0.063135, 0.383297, -0.237174, -0.138318, 0.385252], [0.811499, 0.155867, 0.070686, -1.057909, 0.210884], [1.151375, 0.118478, 0.035557, -0.21966, 0.326766], [0.995938, 0.839711, -0.147686, -0.15678, -0.083798], [-0.587684, -0.057406, -0.025703, -0.551351, -0.549898], [0.605119, 0.820227, -0.320086, -0.532581, 0.425855]], "network.0.bias": [-0.029442, 0.704778, 0.362755, 0.296634, -0.490633, 0.704879], "network.2.weight": [[-0.326247, 0.06887, -0.759818, -0.338577, -0.28309, -0.248202], [0.272933, 0.737007, 0.502312, 1.079138, -0.167387, 0.546933], [-0.041521, 0.028101, -0.01383, -0.287992, 0.131501, -0.182129], [0.261539, 0.368146, 0.576597, 1.017486, -0.21773, 0.586579], [-0.162044, -0.245165, 0.047995, -0.211445, 0.367847, -0.109716], [0.315896, 0.934036, 0.392506, 0.706856, -0.174344, 0.906663]], "network.2.bias": [0.339635, 0.010315, -0.426159, -0.01947, -0.416287, 0.221497], "network.4.weight": [[0.036733, -0.501896, 0.194534, 0.040893, -0.44997, -0.376942], [-0.384768, 0.618656, -0.406614, 0.609942, -0.033297, 0.729304], [-0.00536, -0.440377, -0.32583, -0.143281, 0.099322, 0.067041], [-0.074244, 0.627951, 0.221775, 0.768283, 0.25496, 0.318544], [-0.802106, 0.650088, -0.208268, 0.801819, 0.523364, 0.450074], [-0.156685, -0.066049, 0.191518, -0.384227, -0.186201, -0.263906]], "network.4.bias": [-0.008467, 0.088631, -0.463707, -0.060701, -0.139219, -0.126955], "network.6.weight": [[0.113622, 0.629606, 0.004671, 0.30879, 0.704308, -0.124327], [-0.018261, -0.230826, -0.069818, -0.349196, -0.212688, -0.119052], [0.050811, 0.103565, -0.140007, 0.945386, 0.804758, -0.363853], [0.101724, -0.620353, -0.279143, -0.113762, 0.104477, -0.016533], [-0.33677, -0.389282, 0.2521, -0.169554, 0.007246, -0.130373], [-0.360574, 0.205686, 0.326701, 0.032233, -0.414309, 0.038138]], "network.6.bias": [-0.430459, -0.033294, -0.127, 0.014339, -0.52856, -0.449536], "network.8.weight": [[-0.111348, 0.287886, -0.34229, -0.198285, 0.31708, -0.33241], [-0.186732, -0.383973, -0.27633, -0.382663, -0.195416, 0.222641], [-0.139304, -0.285472, -0.144652, -0.036, -0.275882, -0.033467], [0.50197, 0.166462, 0.179764, -0.538696, -0.030824, -0.161656], [0.811847, 0.11973, 0.619042, 0.22688, -0.252687, -0.154399], [-0.337307, 0.34811, -0.268, 0.119406, 0.349129, 0.216308]], "network.8.bias": [-0.179072, -0.152138, -0.166667, -0.15236, -0.046486, -0.173478], "network.10.weight": [[0.155008, -0.137611, 0.002038, 0.165448, -0.334335, 0.055417], [-0.422887, -0.082308, -0.373246, -0.111422, 0.172219, 0.156307], [-0.187665, -0.177127, -0.070249, 0.263455, 0.631515, -0.068921], [-0.096943, -0.047317, -0.103903, -0.267462, -0.072701, -0.138917], [0.05007, 0.111437, 0.387162, 0.42947, 0.504044, -0.073984], [0.021606, 0.037778, 0.075195, -0.18131, 0.511486, -0.211391]], "network.10.bias": [-0.178777, 1.002744, -0.362794, 0.771318, -0.237291, -0.317985], "network.12.weight": [[0.116654, 0.87218, -0.420856, 0.749566, -0.390563, -0.03952]], "network.12.bias": [0.58018]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6836988627910614, "train_acc": 0.58, "val_loss": 0.7029770612716675, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6799936890602112, "train_acc": 0.58, "val_loss": 0.6943750977516174, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6773244142532349, "train_acc": 0.58, "val_loss": 0.6826120615005493, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6696564257144928, "train_acc": 0.58, "val_loss": 0.6426411271095276, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6311809420585632, "train_acc": 0.495, "val_loss": 0.5205766558647156, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5122691988945007, "train_acc": 0.66, "val_loss": 0.4231826663017273, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4185888171195984, "train_acc": 0.89, "val_loss": 0.37924081087112427, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3856951892375946, "train_acc": 0.885, "val_loss": 0.347741037607193, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4101859927177429, "train_acc": 0.885, "val_loss": 0.32742661237716675, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3146668151021004, "train_acc": 0.89, "val_loss": 0.3368075489997864, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.35628320276737213, "train_acc": 0.875, "val_loss": 0.3149905800819397, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.276418574154377, "train_acc": 0.915, "val_loss": 0.2943509817123413, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.27650345861911774, "train_acc": 0.92, "val_loss": 0.3248477280139923, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.2804527133703232, "train_acc": 0.89, "val_loss": 0.3131326735019684, "val_acc": 0.88}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.7029770612716675, "final_val_loss": 0.6426411271095276, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5205766558647156, "final_val_loss": 0.3131326735019684, "initial_val_acc": 0.52, "final_val_acc": 0.88, "best_val_acc": 0.9, "best_epoch": 11}, "improvement": 0.38, "first_improvement_epoch": 3}}
|
9,756
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.6, "improved_accuracy": 0.88, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3292, "learning_rate": 0.025516331670551406, "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: 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.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": [
0.201589
]
}
## Activation Signature
### 0
mean: [0.348448, -0.182681, 1.402418, -0.174346, 0.861662, -0.453609, -0.266394]
std: [1.942186, 1.394912, 1.555918, 1.002074, 1.686032, 0.743555, 1.285693]
pca: [[0.564718, 0.443323, -0.379832, 0.454124, 0.172860, 0.122427, 0.298644, 0.000000, 0.000000, 0.000000], [0.317768, -0.346774, 0.593103, 0.400292, -0.063681, -0.433182, 0.273978, 0.000000, 0.000000, 0.000000], [-0.469328, 0.276999, -0.074567, 0.467611, -0.681145, -0.075441, 0.095564, 0.000000, 0.000000, 0.000000], [0.108585, 0.329597, 0.598111, 0.195479, 0.006016, 0.528940, -0.451456, 0.000000, 0.000000, 0.000000], [-0.544546, 0.084584, 0.031819, 0.414515, 0.704731, -0.161502, -0.027412, 0.000000, 0.000000, 0.000000], [-0.225201, -0.088449, 0.212359, -0.123896, 0.055907, 0.552341, 0.756841, 0.000000, 0.000000, 0.000000], [-0.028499, 0.694890, 0.307491, -0.435306, 0.047941, -0.425127, 0.221906, 0.000000, 0.000000, 0.000000]]
fourier: [[29.024335, 31.360325, 32.600606, 33.548674, 35.751442], [19.506760, 24.435979, 24.565017, 25.185472, 27.366833], [22.973362, 27.070830, 27.434989, 29.599275, 126.217674], [15.293626, 15.691173, 15.772611, 17.314603, 20.227070], [25.797581, 26.155221, 27.531252, 27.676383, 77.549611], [11.776148, 12.154605, 12.571781, 12.760914, 40.824781], [20.422627, 23.195734, 23.245802, 23.975492, 25.227045]]
### 2
mean: [0.614263, 1.023351, -0.425801, 0.985162, 0.877964, -0.958263, 0.865449]
std: [0.641419, 1.592983, 0.542335, 1.660024, 1.482209, 0.544526, 1.522773]
pca: [[-0.079775, -0.552336, 0.712271, 0.176371, -0.214270, -0.321172, -0.032576, 0.000000, 0.000000, 0.000000], [0.507282, -0.090687, -0.165771, 0.168794, -0.463444, -0.004862, 0.680930, 0.000000, 0.000000, 0.000000], [-0.038136, 0.550051, 0.493225, -0.201338, -0.504814, 0.390595, -0.069139, 0.000000, 0.000000, 0.000000], [0.524208, 0.083315, 0.408492, -0.407075, 0.581905, -0.001332, 0.216963, 0.000000, 0.000000, 0.000000], [0.470577, -0.144814, 0.051200, 0.544763, 0.100001, 0.520814, -0.420655, 0.000000, 0.000000, 0.000000], [0.058398, 0.596289, 0.142719, 0.577920, 0.154238, -0.511913, 0.028715, 0.000000, 0.000000, 0.000000], [0.484974, 0.025914, -0.179061, -0.321553, -0.334765, -0.459301, -0.552852, 0.000000, 0.000000, 0.000000]]
fourier: [[9.643522, 9.900478, 11.431171, 11.819572, 55.283675], [25.423409, 26.346920, 26.439344, 32.046660, 92.101608], [7.267790, 7.312533, 8.563354, 8.760823, 38.322102], [24.858301, 25.414999, 30.287259, 33.198678, 88.664586], [22.697919, 24.490943, 24.577868, 29.364507, 79.016781], [8.152011, 8.205424, 8.376980, 8.791143, 86.243698], [24.110381, 24.237786, 25.050886, 31.163740, 77.890430]]
### 4
mean: [2.161431, 0.240704, 0.055958, 1.593984, 1.592824, -0.288597, 2.271606]
std: [2.869151, 0.649685, 0.245179, 2.294211, 2.292282, 0.659177, 3.172875]
pca: [[0.527047, -0.368247, 0.020191, 0.493835, 0.557070, 0.171329, 0.051517, 0.000000, 0.000000, 0.000000], [-0.108445, 0.638904, 0.344339, 0.020471, 0.589755, -0.330053, 0.065631, 0.000000, 0.000000, 0.000000], [0.005393, 0.569240, -0.176568, 0.580219, -0.288861, 0.459159, 0.117637, 0.000000, 0.000000, 0.000000], [0.421508, 0.275995, -0.021693, -0.563125, 0.149801, 0.537929, -0.341716, 0.000000, 0.000000, 0.000000], [0.421685, 0.067473, 0.166082, -0.253148, -0.199465, -0.042280, 0.827278, 0.000000, 0.000000, 0.000000], [-0.119873, -0.154262, 0.897531, 0.105177, -0.198910, 0.307059, -0.106584, 0.000000, 0.000000, 0.000000], [0.583588, 0.166249, 0.127404, 0.163703, -0.395764, -0.515213, -0.408267, 0.000000, 0.000000, 0.000000]]
fourier: [[46.226151, 48.715819, 48.889878, 61.420386, 194.528795], [9.243458, 10.398341, 12.852185, 12.916563, 21.663317], [4.042071, 4.297168, 4.379580, 5.036252, 5.289075], [36.880295, 36.942322, 40.249689, 48.291666, 143.458518], [37.089938, 37.827409, 39.809679, 48.555621, 143.354114], [10.331693, 10.439501, 11.879766, 13.333143, 25.973699], [51.557606, 51.845783, 55.464620, 67.091864, 204.444582]]
### 6
mean: [1.606655, 4.806373, 2.850756, -0.053335, 2.144750, 3.324720, -1.208681]
std: [2.435677, 6.640539, 3.967706, 0.283709, 3.245610, 4.864965, 1.365235]
pca: [[0.241230, 0.508281, 0.026150, -0.485333, -0.139010, -0.295433, 0.583628, 0.000000, 0.000000, 0.000000], [0.657813, -0.374313, 0.031916, -0.443523, -0.325266, 0.143092, -0.321197, 0.000000, 0.000000, 0.000000], [0.393028, -0.103052, -0.417873, 0.635168, -0.368454, -0.113782, 0.328858, 0.000000, 0.000000, 0.000000], [0.027558, 0.311338, 0.667608, 0.306318, -0.472468, -0.235896, -0.289663, 0.000000, 0.000000, 0.000000], [0.321466, 0.613846, -0.081528, 0.152009, 0.177886, 0.657358, -0.162283, 0.000000, 0.000000, 0.000000], [0.481918, -0.170059, 0.423310, 0.216787, 0.664092, -0.214789, 0.159672, 0.000000, 0.000000, 0.000000], [-0.135184, -0.297090, 0.438338, 0.019143, -0.207924, 0.587704, 0.558862, 0.000000, 0.000000, 0.000000]]
fourier: [[39.449092, 40.774685, 42.686886, 51.472682, 144.598935], [107.733343, 112.148645, 115.505112, 141.092882, 432.573558], [64.643980, 66.555277, 68.941221, 84.257078, 256.568020], [4.488265, 4.613783, 4.800148, 4.978842, 5.765067], [52.839412, 54.016499, 56.724101, 68.608025, 193.027525], [79.262554, 81.693105, 84.589714, 103.221959, 299.224763], [22.296514, 22.766333, 23.897680, 28.838208, 108.781259]]
### 8
mean: [-1.859500, 6.630641, -1.264966, -2.684614, -0.128925, 7.965676, 5.984550]
std: [3.220405, 9.198960, 0.928052, 3.613760, 0.032694, 11.003462, 8.190886]
pca: [[-0.186840, -0.120030, -0.411097, 0.475442, 0.690720, 0.280247, -0.002099, 0.000000, 0.000000, 0.000000], [0.533708, 0.309529, 0.167681, -0.186864, 0.527080, -0.244197, 0.467832, 0.000000, 0.000000, 0.000000], [-0.053800, 0.655197, -0.319210, 0.462440, -0.228827, -0.444400, -0.047155, 0.000000, 0.000000, 0.000000], [-0.209660, -0.290315, 0.521397, 0.561603, -0.104606, -0.190579, 0.487077, 0.000000, 0.000000, 0.000000], [-0.001696, 0.206838, -0.295537, -0.044167, -0.343407, 0.580069, 0.643051, 0.000000, 0.000000, 0.000000], [0.638403, 0.090992, 0.269314, 0.445033, -0.133170, 0.430381, -0.332588, 0.000000, 0.000000, 0.000000], [0.475218, -0.570226, -0.518903, 0.098907, -0.214767, -0.326054, 0.132407, 0.000000, 0.000000, 0.000000]]
fourier: [[52.225753, 54.254268, 56.346801, 68.249149, 167.355040], [149.241585, 155.316309, 161.028191, 195.187454, 596.757686], [15.168296, 15.864547, 16.131386, 19.552443, 113.846891], [58.617534, 61.136544, 63.485009, 76.582361, 241.615287], [0.487386, 0.495975, 0.516383, 0.637006, 11.603208], [178.597774, 185.834058, 192.466794, 233.535221, 716.910862], [133.124752, 138.832490, 143.388584, 173.712641, 538.609580]]
### 10
mean: [-0.133947, -0.910028, 11.223219, -0.545285, -0.833314, -3.820373, -1.375764]
std: [0.972577, 1.301756, 15.588211, 1.040328, 0.874708, 5.095004, 2.691001]
pca: [[-0.058016, -0.244180, -0.445854, 0.488234, -0.012919, 0.233420, 0.667234, 0.000000, 0.000000, 0.000000], [-0.077467, 0.717635, -0.305929, 0.511701, 0.129924, 0.016491, -0.326216, 0.000000, 0.000000, 0.000000], [0.930475, 0.227281, 0.094170, 0.050149, -0.176974, -0.029995, 0.197377, 0.000000, 0.000000, 0.000000], [-0.062064, 0.239498, 0.445061, -0.068030, 0.227227, 0.813760, 0.149146, 0.000000, 0.000000, 0.000000], [-0.052197, 0.144701, 0.361093, 0.106377, 0.659601, -0.492066, 0.396775, 0.000000, 0.000000, 0.000000], [-0.304093, 0.535290, -0.022871, -0.380768, -0.471630, -0.156015, 0.478236, 0.000000, 0.000000, 0.000000], [-0.160626, -0.094273, 0.608082, 0.579954, -0.492435, -0.125179, -0.032251, 0.000000, 0.000000, 0.000000]]
fourier: [[14.440646, 15.932683, 16.312492, 16.769429, 20.588206], [20.594466, 21.998165, 23.292930, 27.670004, 81.902559], [253.347728, 263.424618, 272.377426, 330.712286, 1010.089652], [16.745818, 17.705211, 18.421061, 22.090025, 49.075648], [14.120272, 14.884262, 15.449361, 18.565702, 74.998240], [82.394692, 86.170267, 89.515116, 108.192133, 343.833500], [43.791603, 45.614014, 47.046879, 57.054424, 123.818807]]
### 12
mean: [-6.240589]
std: [9.449533]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[154.876399, 159.618382, 164.468908, 200.701363, 561.653040]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.26258,
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[
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[
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[
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[
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0.032654,
0.302727
],
[
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0.323775,
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],
"network.0.bias": [
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0.362384,
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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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0.559623,
0.066508,
0.121687
]
],
"network.2.bias": [
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0.210279,
0.17316,
0.050995,
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0.080609
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"network.4.weight": [
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[
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],
[
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0.063013
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[
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0.540573,
0.61553,
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0.18711
],
[
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0.413783,
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[
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[
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],
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[
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[
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"network.8.weight": [
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[
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[
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[
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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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0.069068,
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],
[
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],
[
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-0.232823,
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],
[
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-0.004895,
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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: [0.348448, -0.182681, 1.402418, -0.174346, 0.861662, -0.453609, -0.266394]
std: [1.942186, 1.394912, 1.555918, 1.002074, 1.686032, 0.743555, 1.285693]
pca: [[0.564718, 0.443323, -0.379832, 0.454124, 0.172860, 0.122427, 0.298644, 0.000000, 0.000000, 0.000000], [0.317768, -0.346774, 0.593103, 0.400292, -0.063681, -0.433182, 0.273978, 0.000000, 0.000000, 0.000000], [-0.469328, 0.276999, -0.074567, 0.467611, -0.681145, -0.075441, 0.095564, 0.000000, 0.000000, 0.000000], [0.108585, 0.329597, 0.598111, 0.195479, 0.006016, 0.528940, -0.451456, 0.000000, 0.000000, 0.000000], [-0.544546, 0.084584, 0.031819, 0.414515, 0.704731, -0.161502, -0.027412, 0.000000, 0.000000, 0.000000], [-0.225201, -0.088449, 0.212359, -0.123896, 0.055907, 0.552341, 0.756841, 0.000000, 0.000000, 0.000000], [-0.028499, 0.694890, 0.307491, -0.435306, 0.047941, -0.425127, 0.221906, 0.000000, 0.000000, 0.000000]]
fourier: [[29.024335, 31.360325, 32.600606, 33.548674, 35.751442], [19.506760, 24.435979, 24.565017, 25.185472, 27.366833], [22.973362, 27.070830, 27.434989, 29.599275, 126.217674], [15.293626, 15.691173, 15.772611, 17.314603, 20.227070], [25.797581, 26.155221, 27.531252, 27.676383, 77.549611], [11.776148, 12.154605, 12.571781, 12.760914, 40.824781], [20.422627, 23.195734, 23.245802, 23.975492, 25.227045]]
### 2
mean: [0.614263, 1.023351, -0.425801, 0.985162, 0.877964, -0.958263, 0.865449]
std: [0.641419, 1.592983, 0.542335, 1.660024, 1.482209, 0.544526, 1.522773]
pca: [[-0.079775, -0.552336, 0.712271, 0.176371, -0.214270, -0.321172, -0.032576, 0.000000, 0.000000, 0.000000], [0.507282, -0.090687, -0.165771, 0.168794, -0.463444, -0.004862, 0.680930, 0.000000, 0.000000, 0.000000], [-0.038136, 0.550051, 0.493225, -0.201338, -0.504814, 0.390595, -0.069139, 0.000000, 0.000000, 0.000000], [0.524208, 0.083315, 0.408492, -0.407075, 0.581905, -0.001332, 0.216963, 0.000000, 0.000000, 0.000000], [0.470577, -0.144814, 0.051200, 0.544763, 0.100001, 0.520814, -0.420655, 0.000000, 0.000000, 0.000000], [0.058398, 0.596289, 0.142719, 0.577920, 0.154238, -0.511913, 0.028715, 0.000000, 0.000000, 0.000000], [0.484974, 0.025914, -0.179061, -0.321553, -0.334765, -0.459301, -0.552852, 0.000000, 0.000000, 0.000000]]
fourier: [[9.643522, 9.900478, 11.431171, 11.819572, 55.283675], [25.423409, 26.346920, 26.439344, 32.046660, 92.101608], [7.267790, 7.312533, 8.563354, 8.760823, 38.322102], [24.858301, 25.414999, 30.287259, 33.198678, 88.664586], [22.697919, 24.490943, 24.577868, 29.364507, 79.016781], [8.152011, 8.205424, 8.376980, 8.791143, 86.243698], [24.110381, 24.237786, 25.050886, 31.163740, 77.890430]]
### 4
mean: [2.161431, 0.240704, 0.055958, 1.593984, 1.592824, -0.288597, 2.271606]
std: [2.869151, 0.649685, 0.245179, 2.294211, 2.292282, 0.659177, 3.172875]
pca: [[0.527047, -0.368247, 0.020191, 0.493835, 0.557070, 0.171329, 0.051517, 0.000000, 0.000000, 0.000000], [-0.108445, 0.638904, 0.344339, 0.020471, 0.589755, -0.330053, 0.065631, 0.000000, 0.000000, 0.000000], [0.005393, 0.569240, -0.176568, 0.580219, -0.288861, 0.459159, 0.117637, 0.000000, 0.000000, 0.000000], [0.421508, 0.275995, -0.021693, -0.563125, 0.149801, 0.537929, -0.341716, 0.000000, 0.000000, 0.000000], [0.421685, 0.067473, 0.166082, -0.253148, -0.199465, -0.042280, 0.827278, 0.000000, 0.000000, 0.000000], [-0.119873, -0.154262, 0.897531, 0.105177, -0.198910, 0.307059, -0.106584, 0.000000, 0.000000, 0.000000], [0.583588, 0.166249, 0.127404, 0.163703, -0.395764, -0.515213, -0.408267, 0.000000, 0.000000, 0.000000]]
fourier: [[46.226151, 48.715819, 48.889878, 61.420386, 194.528795], [9.243458, 10.398341, 12.852185, 12.916563, 21.663317], [4.042071, 4.297168, 4.379580, 5.036252, 5.289075], [36.880295, 36.942322, 40.249689, 48.291666, 143.458518], [37.089938, 37.827409, 39.809679, 48.555621, 143.354114], [10.331693, 10.439501, 11.879766, 13.333143, 25.973699], [51.557606, 51.845783, 55.464620, 67.091864, 204.444582]]
### 6
mean: [1.606655, 4.806373, 2.850756, -0.053335, 2.144750, 3.324720, -1.208681]
std: [2.435677, 6.640539, 3.967706, 0.283709, 3.245610, 4.864965, 1.365235]
pca: [[0.241230, 0.508281, 0.026150, -0.485333, -0.139010, -0.295433, 0.583628, 0.000000, 0.000000, 0.000000], [0.657813, -0.374313, 0.031916, -0.443523, -0.325266, 0.143092, -0.321197, 0.000000, 0.000000, 0.000000], [0.393028, -0.103052, -0.417873, 0.635168, -0.368454, -0.113782, 0.328858, 0.000000, 0.000000, 0.000000], [0.027558, 0.311338, 0.667608, 0.306318, -0.472468, -0.235896, -0.289663, 0.000000, 0.000000, 0.000000], [0.321466, 0.613846, -0.081528, 0.152009, 0.177886, 0.657358, -0.162283, 0.000000, 0.000000, 0.000000], [0.481918, -0.170059, 0.423310, 0.216787, 0.664092, -0.214789, 0.159672, 0.000000, 0.000000, 0.000000], [-0.135184, -0.297090, 0.438338, 0.019143, -0.207924, 0.587704, 0.558862, 0.000000, 0.000000, 0.000000]]
fourier: [[39.449092, 40.774685, 42.686886, 51.472682, 144.598935], [107.733343, 112.148645, 115.505112, 141.092882, 432.573558], [64.643980, 66.555277, 68.941221, 84.257078, 256.568020], [4.488265, 4.613783, 4.800148, 4.978842, 5.765067], [52.839412, 54.016499, 56.724101, 68.608025, 193.027525], [79.262554, 81.693105, 84.589714, 103.221959, 299.224763], [22.296514, 22.766333, 23.897680, 28.838208, 108.781259]]
### 8
mean: [-1.859500, 6.630641, -1.264966, -2.684614, -0.128925, 7.965676, 5.984550]
std: [3.220405, 9.198960, 0.928052, 3.613760, 0.032694, 11.003462, 8.190886]
pca: [[-0.186840, -0.120030, -0.411097, 0.475442, 0.690720, 0.280247, -0.002099, 0.000000, 0.000000, 0.000000], [0.533708, 0.309529, 0.167681, -0.186864, 0.527080, -0.244197, 0.467832, 0.000000, 0.000000, 0.000000], [-0.053800, 0.655197, -0.319210, 0.462440, -0.228827, -0.444400, -0.047155, 0.000000, 0.000000, 0.000000], [-0.209660, -0.290315, 0.521397, 0.561603, -0.104606, -0.190579, 0.487077, 0.000000, 0.000000, 0.000000], [-0.001696, 0.206838, -0.295537, -0.044167, -0.343407, 0.580069, 0.643051, 0.000000, 0.000000, 0.000000], [0.638403, 0.090992, 0.269314, 0.445033, -0.133170, 0.430381, -0.332588, 0.000000, 0.000000, 0.000000], [0.475218, -0.570226, -0.518903, 0.098907, -0.214767, -0.326054, 0.132407, 0.000000, 0.000000, 0.000000]]
fourier: [[52.225753, 54.254268, 56.346801, 68.249149, 167.355040], [149.241585, 155.316309, 161.028191, 195.187454, 596.757686], [15.168296, 15.864547, 16.131386, 19.552443, 113.846891], [58.617534, 61.136544, 63.485009, 76.582361, 241.615287], [0.487386, 0.495975, 0.516383, 0.637006, 11.603208], [178.597774, 185.834058, 192.466794, 233.535221, 716.910862], [133.124752, 138.832490, 143.388584, 173.712641, 538.609580]]
### 10
mean: [-0.133947, -0.910028, 11.223219, -0.545285, -0.833314, -3.820373, -1.375764]
std: [0.972577, 1.301756, 15.588211, 1.040328, 0.874708, 5.095004, 2.691001]
pca: [[-0.058016, -0.244180, -0.445854, 0.488234, -0.012919, 0.233420, 0.667234, 0.000000, 0.000000, 0.000000], [-0.077467, 0.717635, -0.305929, 0.511701, 0.129924, 0.016491, -0.326216, 0.000000, 0.000000, 0.000000], [0.930475, 0.227281, 0.094170, 0.050149, -0.176974, -0.029995, 0.197377, 0.000000, 0.000000, 0.000000], [-0.062064, 0.239498, 0.445061, -0.068030, 0.227227, 0.813760, 0.149146, 0.000000, 0.000000, 0.000000], [-0.052197, 0.144701, 0.361093, 0.106377, 0.659601, -0.492066, 0.396775, 0.000000, 0.000000, 0.000000], [-0.304093, 0.535290, -0.022871, -0.380768, -0.471630, -0.156015, 0.478236, 0.000000, 0.000000, 0.000000], [-0.160626, -0.094273, 0.608082, 0.579954, -0.492435, -0.125179, -0.032251, 0.000000, 0.000000, 0.000000]]
fourier: [[14.440646, 15.932683, 16.312492, 16.769429, 20.588206], [20.594466, 21.998165, 23.292930, 27.670004, 81.902559], [253.347728, 263.424618, 272.377426, 330.712286, 1010.089652], [16.745818, 17.705211, 18.421061, 22.090025, 49.075648], [14.120272, 14.884262, 15.449361, 18.565702, 74.998240], [82.394692, 86.170267, 89.515116, 108.192133, 343.833500], [43.791603, 45.614014, 47.046879, 57.054424, 123.818807]]
### 12
mean: [-6.240589]
std: [9.449533]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[154.876399, 159.618382, 164.468908, 200.701363, 561.653040]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.269925, 0.26258, 0.523097, -0.109899, -0.828527], [0.271071, -0.35983, -0.090575, 0.408972, -0.684611], [-0.424182, -0.105758, 0.350383, 0.112279, 0.638863], [0.067641, -0.480406, 0.300512, 0.044928, -0.325597], [-0.610836, -0.071739, 0.172379, 0.110024, 0.68243], [-0.137186, -0.157193, -0.127296, 0.032654, 0.302727], [0.014771, -0.313664, 0.323775, -0.411767, 0.074575]], "network.0.bias": [-0.301107, 0.292214, 0.362384, 0.294373, 0.314855, -0.173928, 0.401493], "network.2.weight": [[0.417649, 0.284851, -0.127358, 0.411428, 0.161136, 0.230739, 0.350457], [-0.266716, -0.236455, 0.287311, -0.440375, 0.712184, 0.374281, 0.131245], [-0.384064, -0.073873, -0.23002, 0.25324, -0.133788, 0.125104, 0.436582], [-0.44575, -0.418918, 0.65699, -0.103685, 0.291795, 0.081857, 0.231973], [-0.20409, -0.423443, 0.220132, -0.128718, 0.709371, 0.331602, 0.103423], [-0.420025, -0.447196, -0.186076, 0.02487, -0.059932, 0.265848, 0.255803], [-0.340742, -0.166428, 0.407162, -0.536029, 0.559623, 0.066508, 0.121687]], "network.2.bias": [-0.169157, 0.139687, 0.210279, 0.17316, 0.050995, -0.154056, 0.080609], "network.4.weight": [[-0.558944, 0.614035, -0.144855, 0.69701, 0.458083, -0.229919, 0.1963], [0.541986, -0.23022, 0.420136, 0.044491, -0.344636, 0.307459, 0.194963], [0.390851, -0.032138, -0.156177, 0.232555, -0.186464, -0.045965, 0.063013], [-0.061385, 0.310135, 0.371675, 0.540573, 0.61553, 0.405519, 0.18711], [-0.165183, 0.274928, 0.292015, 0.413783, 0.602189, 0.132658, 0.354163], [0.102903, -0.003402, 0.408019, -0.397455, -0.384025, 0.274481, 0.329959], [-0.181162, 0.321099, 0.178976, 0.65046, 0.759029, -0.183592, 0.554819]], "network.4.bias": [0.298575, 0.239188, -0.296951, -0.223286, -0.121287, 0.15483, -0.132868], "network.6.weight": [[0.110941, 0.088225, -0.305431, 0.338806, 0.198124, -0.329969, 0.296885], [0.680746, -0.309192, -0.392143, 0.580553, 0.474972, -0.109065, 0.735715], [0.603752, -0.167445, 0.162473, -0.035577, 0.377156, 0.266745, 0.47771], [-0.142546, -0.266408, 0.30844, 0.166576, 0.07644, -0.032271, 0.020709], [0.495728, 0.173747, -0.100212, 0.329125, 0.129951, -0.367853, 0.271896], [0.685302, -0.126681, -0.076633, 0.204212, 0.200473, -0.508977, 0.633988], [-0.221695, -0.22898, 0.167392, 0.079894, -0.021476, 0.128825, -0.296391]], "network.6.bias": [-0.197753, -0.009387, -0.162757, -0.110574, -0.387598, -0.256498, -0.05255], "network.8.weight": [[-0.03192, -0.033776, -0.644844, 0.057241, -0.338481, 0.142439, 0.099753], [0.424157, 0.639438, 0.348821, 0.206794, 0.407304, 0.26689, -0.357983], [0.065867, -0.138041, -0.309796, 0.333961, 0.025796, 0.188238, 0.159835], [-0.315069, -0.275312, 0.010294, 0.170384, -0.324618, -0.01862, -0.021986], [0.192599, -0.097311, -0.003336, -0.055823, -0.04659, 0.067542, 0.141254], [0.191624, 0.652816, 0.383927, 0.261215, 0.382398, 0.728297, 0.111027], [0.337979, 0.610082, 0.000714, -0.345446, -0.008273, 0.723952, -0.079623]], "network.8.bias": [0.48653, -0.06155, -0.540741, -0.070635, -0.088747, -0.043972, -0.005305], "network.10.weight": [[0.229357, -0.170124, 0.107249, -0.289728, -0.198414, 0.012336, 0.058451], [-0.463011, -0.431003, 0.352581, 0.007729, 0.253537, 0.09733, 0.188681], [-0.405519, 0.403549, -0.114096, -0.213013, -0.271198, 0.705542, 0.498343], [-0.195229, 0.035172, -0.257707, 0.069068, -0.298906, -0.012752, -0.151701], [-0.122618, 0.010862, -0.309526, 0.20931, 0.368721, 0.019751, -0.146987], [-0.301298, -0.264582, -0.114561, -0.196231, 0.198823, -0.232823, -0.016341], [0.053361, 0.041265, 0.036893, 0.12964, -0.142605, -0.004895, -0.367632]], "network.10.bias": [0.516214, 0.113326, -0.012276, 0.258096, -0.166022, -0.065037, 0.582145], "network.12.weight": [[0.479148, 0.25396, -0.595675, 0.317255, -0.197977, -0.3204, 0.549117]], "network.12.bias": [0.201589]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6934805512428284, "train_acc": 0.525, "val_loss": 0.6712864637374878, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6861403584480286, "train_acc": 0.545, "val_loss": 0.6552045941352844, "val_acc": 0.6}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6708267331123352, "train_acc": 0.545, "val_loss": 0.6188586950302124, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6615495979785919, "train_acc": 0.475, "val_loss": 0.5476160645484924, "val_acc": 0.6}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5874287486076355, "train_acc": 0.51, "val_loss": 0.46407756209373474, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5097943693399429, "train_acc": 0.76, "val_loss": 0.4161318838596344, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4517174959182739, "train_acc": 0.82, "val_loss": 0.372768759727478, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4199852794408798, "train_acc": 0.845, "val_loss": 0.3509875535964966, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3836252838373184, "train_acc": 0.845, "val_loss": 0.30516281723976135, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.33804143965244293, "train_acc": 0.885, "val_loss": 0.3320190906524658, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.31318914890289307, "train_acc": 0.885, "val_loss": 0.3175092935562134, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.44428861141204834, "train_acc": 0.83, "val_loss": 0.3579638600349426, "val_acc": 0.84}], "summary": {"total_epochs": 12, "degraded_epochs": 3, "improved_epochs": 9, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6712864637374878, "final_val_loss": 0.6188586950302124, "initial_val_acc": 0.6, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.5476160645484924, "final_val_loss": 0.3579638600349426, "initial_val_acc": 0.6, "final_val_acc": 0.84, "best_val_acc": 0.88, "best_epoch": 8}, "improvement": 0.28, "first_improvement_epoch": 2}}
|
9,757
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.86, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8814, "learning_rate": 0.011833779441149772, "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: 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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}
## Activation Signature
### 0
mean: [0.878091, -2.275692, 0.970648, 0.306207, -1.106721, 1.436385, 1.841562]
std: [1.325505, 1.602893, 1.428141, 1.179337, 0.839212, 1.670414, 1.850667]
pca: [[0.094962, -0.231691, 0.760977, 0.323379, 0.107609, 0.146758, 0.469600, 0.000000, 0.000000, 0.000000], [-0.489119, 0.033418, -0.376582, 0.584091, 0.002731, -0.314998, 0.421235, 0.000000, 0.000000, 0.000000], [0.353147, -0.400770, -0.462240, -0.041090, -0.309562, 0.463581, 0.434260, 0.000000, 0.000000, 0.000000], [0.105498, 0.589173, -0.049491, -0.442146, 0.270142, -0.047843, 0.607072, 0.000000, 0.000000, 0.000000], [-0.191298, 0.294241, -0.106622, 0.289016, 0.415143, 0.760827, -0.175291, 0.000000, 0.000000, 0.000000], [0.548161, -0.214460, -0.225377, 0.220905, 0.684052, -0.284439, -0.071420, 0.000000, 0.000000, 0.000000], [0.528041, 0.552168, 0.028689, 0.474081, -0.423482, -0.047742, -0.095345, 0.000000, 0.000000, 0.000000]]
fourier: [[20.482875, 21.351173, 22.368879, 23.347454, 79.028230], [24.437545, 27.089027, 29.999913, 31.377479, 204.812339], [20.700021, 21.346136, 23.377091, 25.509508, 87.358301], [18.373075, 19.299237, 20.664420, 22.622856, 27.558654], [14.279601, 15.068379, 15.464848, 16.439969, 99.604851], [26.766614, 27.451340, 30.883494, 31.875199, 129.274611], [29.457264, 31.565017, 31.992820, 33.499070, 165.740558]]
### 2
mean: [-1.421094, -0.433802, 1.182431, 2.839192, -1.075651, -0.716732, 1.336956]
std: [0.938326, 0.871666, 0.954838, 2.289969, 0.735302, 1.285696, 1.427806]
pca: [[-0.228184, -0.468870, -0.157738, 0.509553, 0.458554, -0.478234, -0.067740, 0.000000, 0.000000, 0.000000], [-0.203660, 0.434444, 0.272126, -0.383540, 0.722618, -0.118522, -0.111363, 0.000000, 0.000000, 0.000000], [0.155184, 0.539709, -0.578582, 0.415050, 0.140457, 0.212147, -0.335967, 0.000000, 0.000000, 0.000000], [0.732020, -0.013178, -0.131619, -0.030234, 0.320344, -0.099754, 0.577204, 0.000000, 0.000000, 0.000000], [-0.131509, -0.460820, -0.256572, -0.192487, 0.357412, 0.734482, 0.016247, 0.000000, 0.000000, 0.000000], [-0.389143, 0.274920, 0.257879, 0.488025, 0.030156, 0.292447, 0.617966, 0.000000, 0.000000, 0.000000], [0.421654, -0.109653, 0.645488, 0.380596, 0.128651, 0.278027, -0.393479, 0.000000, 0.000000, 0.000000]]
fourier: [[15.821641, 17.076217, 17.751025, 18.472331, 127.898487], [12.475114, 13.250262, 14.659535, 17.463846, 39.042210], [13.870664, 13.982924, 14.458167, 18.702904, 106.418748], [38.774464, 39.543583, 41.903445, 42.666537, 255.527246], [10.695603, 12.183671, 12.434253, 14.020601, 96.808641], [20.310250, 20.521377, 21.424583, 22.007479, 64.505857], [21.078189, 24.115104, 25.534333, 27.720931, 120.326019]]
### 4
mean: [0.010022, 2.076003, 1.665542, -0.855361, 0.952957, -0.143357, 0.528728]
std: [0.637073, 1.485287, 1.098716, 0.338098, 0.801181, 0.691257, 0.408888]
pca: [[0.223992, -0.507876, 0.112507, 0.328675, -0.489558, 0.344025, 0.461719, 0.000000, 0.000000, 0.000000], [0.702655, 0.080012, -0.124832, 0.504723, 0.011903, -0.156089, -0.452814, 0.000000, 0.000000, 0.000000], [0.483175, 0.483376, 0.222074, -0.400119, 0.020006, 0.551275, 0.138468, 0.000000, 0.000000, 0.000000], [-0.054138, -0.357835, 0.432166, 0.210812, 0.706553, 0.347824, -0.132723, 0.000000, 0.000000, 0.000000], [0.377642, -0.092301, -0.114717, -0.119198, 0.438381, -0.467291, 0.641062, 0.000000, 0.000000, 0.000000], [-0.228387, 0.575987, 0.416393, 0.569694, -0.023891, -0.137187, 0.314250, 0.000000, 0.000000, 0.000000], [0.157926, -0.183525, 0.741034, -0.306481, -0.260432, -0.441834, -0.187812, 0.000000, 0.000000, 0.000000]]
fourier: [[9.814706, 10.047023, 10.161071, 10.262602, 10.322944], [25.039829, 26.195916, 26.996180, 27.173825, 186.840290], [17.223281, 17.316559, 19.135992, 20.013668, 149.898743], [5.030055, 5.275995, 5.861036, 7.180683, 76.982518], [13.490458, 13.815384, 14.171012, 15.462207, 85.766102], [10.436891, 10.828477, 11.585594, 12.199533, 12.902108], [5.942963, 6.163638, 7.121633, 8.643915, 47.585526]]
### 6
mean: [1.764230, -0.538822, -0.980694, -0.009190, 0.892365, 1.882817, 2.398911]
std: [1.222565, 0.113503, 0.400073, 0.111048, 0.617638, 1.190867, 1.475752]
pca: [[0.509288, 0.743607, 0.065804, 0.285186, -0.183227, -0.158723, -0.207961, 0.000000, 0.000000, 0.000000], [-0.013338, -0.241527, 0.445708, 0.661459, 0.111593, -0.403042, 0.361120, 0.000000, 0.000000, 0.000000], [-0.160674, 0.377675, 0.194824, -0.128366, 0.879553, 0.052203, 0.027796, 0.000000, 0.000000, 0.000000], [-0.010034, -0.007286, 0.703534, -0.564868, -0.211784, -0.341919, -0.155078, 0.000000, 0.000000, 0.000000], [0.260600, -0.103047, 0.491229, 0.128073, -0.047210, 0.813052, 0.021848, 0.000000, 0.000000, 0.000000], [0.502244, -0.477285, -0.060382, 0.053904, 0.346444, -0.157047, -0.607216, 0.000000, 0.000000, 0.000000], [0.627988, -0.087191, -0.138368, -0.355358, 0.115135, -0.083742, 0.657522, 0.000000, 0.000000, 0.000000]]
fourier: [[20.004855, 20.627629, 21.078153, 23.160126, 158.780722], [1.810550, 1.846503, 1.901726, 1.927608, 48.493952], [6.223901, 6.548204, 6.644741, 7.063333, 88.262487], [1.595106, 1.773256, 1.938761, 1.954498, 1.974992], [9.681385, 11.211412, 11.382734, 11.468600, 80.312877], [19.642671, 20.114535, 21.387592, 21.752160, 169.453559], [24.558813, 25.342974, 25.757172, 27.842052, 215.901967]]
### 8
mean: [-2.640912]
std: [1.761391]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.822776, 30.046361, 31.113360, 33.080219, 237.682121]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
"network.2.bias": [
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"network.8.bias": [
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}
## Activation Signature
### 0
mean: [0.878091, -2.275692, 0.970648, 0.306207, -1.106721, 1.436385, 1.841562]
std: [1.325505, 1.602893, 1.428141, 1.179337, 0.839212, 1.670414, 1.850667]
pca: [[0.094962, -0.231691, 0.760977, 0.323379, 0.107609, 0.146758, 0.469600, 0.000000, 0.000000, 0.000000], [-0.489119, 0.033418, -0.376582, 0.584091, 0.002731, -0.314998, 0.421235, 0.000000, 0.000000, 0.000000], [0.353147, -0.400770, -0.462240, -0.041090, -0.309562, 0.463581, 0.434260, 0.000000, 0.000000, 0.000000], [0.105498, 0.589173, -0.049491, -0.442146, 0.270142, -0.047843, 0.607072, 0.000000, 0.000000, 0.000000], [-0.191298, 0.294241, -0.106622, 0.289016, 0.415143, 0.760827, -0.175291, 0.000000, 0.000000, 0.000000], [0.548161, -0.214460, -0.225377, 0.220905, 0.684052, -0.284439, -0.071420, 0.000000, 0.000000, 0.000000], [0.528041, 0.552168, 0.028689, 0.474081, -0.423482, -0.047742, -0.095345, 0.000000, 0.000000, 0.000000]]
fourier: [[20.482875, 21.351173, 22.368879, 23.347454, 79.028230], [24.437545, 27.089027, 29.999913, 31.377479, 204.812339], [20.700021, 21.346136, 23.377091, 25.509508, 87.358301], [18.373075, 19.299237, 20.664420, 22.622856, 27.558654], [14.279601, 15.068379, 15.464848, 16.439969, 99.604851], [26.766614, 27.451340, 30.883494, 31.875199, 129.274611], [29.457264, 31.565017, 31.992820, 33.499070, 165.740558]]
### 2
mean: [-1.421094, -0.433802, 1.182431, 2.839192, -1.075651, -0.716732, 1.336956]
std: [0.938326, 0.871666, 0.954838, 2.289969, 0.735302, 1.285696, 1.427806]
pca: [[-0.228184, -0.468870, -0.157738, 0.509553, 0.458554, -0.478234, -0.067740, 0.000000, 0.000000, 0.000000], [-0.203660, 0.434444, 0.272126, -0.383540, 0.722618, -0.118522, -0.111363, 0.000000, 0.000000, 0.000000], [0.155184, 0.539709, -0.578582, 0.415050, 0.140457, 0.212147, -0.335967, 0.000000, 0.000000, 0.000000], [0.732020, -0.013178, -0.131619, -0.030234, 0.320344, -0.099754, 0.577204, 0.000000, 0.000000, 0.000000], [-0.131509, -0.460820, -0.256572, -0.192487, 0.357412, 0.734482, 0.016247, 0.000000, 0.000000, 0.000000], [-0.389143, 0.274920, 0.257879, 0.488025, 0.030156, 0.292447, 0.617966, 0.000000, 0.000000, 0.000000], [0.421654, -0.109653, 0.645488, 0.380596, 0.128651, 0.278027, -0.393479, 0.000000, 0.000000, 0.000000]]
fourier: [[15.821641, 17.076217, 17.751025, 18.472331, 127.898487], [12.475114, 13.250262, 14.659535, 17.463846, 39.042210], [13.870664, 13.982924, 14.458167, 18.702904, 106.418748], [38.774464, 39.543583, 41.903445, 42.666537, 255.527246], [10.695603, 12.183671, 12.434253, 14.020601, 96.808641], [20.310250, 20.521377, 21.424583, 22.007479, 64.505857], [21.078189, 24.115104, 25.534333, 27.720931, 120.326019]]
### 4
mean: [0.010022, 2.076003, 1.665542, -0.855361, 0.952957, -0.143357, 0.528728]
std: [0.637073, 1.485287, 1.098716, 0.338098, 0.801181, 0.691257, 0.408888]
pca: [[0.223992, -0.507876, 0.112507, 0.328675, -0.489558, 0.344025, 0.461719, 0.000000, 0.000000, 0.000000], [0.702655, 0.080012, -0.124832, 0.504723, 0.011903, -0.156089, -0.452814, 0.000000, 0.000000, 0.000000], [0.483175, 0.483376, 0.222074, -0.400119, 0.020006, 0.551275, 0.138468, 0.000000, 0.000000, 0.000000], [-0.054138, -0.357835, 0.432166, 0.210812, 0.706553, 0.347824, -0.132723, 0.000000, 0.000000, 0.000000], [0.377642, -0.092301, -0.114717, -0.119198, 0.438381, -0.467291, 0.641062, 0.000000, 0.000000, 0.000000], [-0.228387, 0.575987, 0.416393, 0.569694, -0.023891, -0.137187, 0.314250, 0.000000, 0.000000, 0.000000], [0.157926, -0.183525, 0.741034, -0.306481, -0.260432, -0.441834, -0.187812, 0.000000, 0.000000, 0.000000]]
fourier: [[9.814706, 10.047023, 10.161071, 10.262602, 10.322944], [25.039829, 26.195916, 26.996180, 27.173825, 186.840290], [17.223281, 17.316559, 19.135992, 20.013668, 149.898743], [5.030055, 5.275995, 5.861036, 7.180683, 76.982518], [13.490458, 13.815384, 14.171012, 15.462207, 85.766102], [10.436891, 10.828477, 11.585594, 12.199533, 12.902108], [5.942963, 6.163638, 7.121633, 8.643915, 47.585526]]
### 6
mean: [1.764230, -0.538822, -0.980694, -0.009190, 0.892365, 1.882817, 2.398911]
std: [1.222565, 0.113503, 0.400073, 0.111048, 0.617638, 1.190867, 1.475752]
pca: [[0.509288, 0.743607, 0.065804, 0.285186, -0.183227, -0.158723, -0.207961, 0.000000, 0.000000, 0.000000], [-0.013338, -0.241527, 0.445708, 0.661459, 0.111593, -0.403042, 0.361120, 0.000000, 0.000000, 0.000000], [-0.160674, 0.377675, 0.194824, -0.128366, 0.879553, 0.052203, 0.027796, 0.000000, 0.000000, 0.000000], [-0.010034, -0.007286, 0.703534, -0.564868, -0.211784, -0.341919, -0.155078, 0.000000, 0.000000, 0.000000], [0.260600, -0.103047, 0.491229, 0.128073, -0.047210, 0.813052, 0.021848, 0.000000, 0.000000, 0.000000], [0.502244, -0.477285, -0.060382, 0.053904, 0.346444, -0.157047, -0.607216, 0.000000, 0.000000, 0.000000], [0.627988, -0.087191, -0.138368, -0.355358, 0.115135, -0.083742, 0.657522, 0.000000, 0.000000, 0.000000]]
fourier: [[20.004855, 20.627629, 21.078153, 23.160126, 158.780722], [1.810550, 1.846503, 1.901726, 1.927608, 48.493952], [6.223901, 6.548204, 6.644741, 7.063333, 88.262487], [1.595106, 1.773256, 1.938761, 1.954498, 1.974992], [9.681385, 11.211412, 11.382734, 11.468600, 80.312877], [19.642671, 20.114535, 21.387592, 21.752160, 169.453559], [24.558813, 25.342974, 25.757172, 27.842052, 215.901967]]
### 8
mean: [-2.640912]
std: [1.761391]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.822776, 30.046361, 31.113360, 33.080219, 237.682121]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": [1.5951062539292533, 1.7732560335906382, 1.9387611479428462, 1.9544977142703726, 1.9749916846660704]}, "4": {"mean": 0.8923652768135071, "std": 0.617638111114502, "pca": [0.26059985160827637, -0.103046715259552, 0.49122920632362366, 0.1280727982521057, -0.047210417687892914, 0.8130523562431335, 0.021848224103450775, 0.0, 0.0, 0.0], "fourier": [9.681384598419005, 11.211411752240085, 11.382733905742596, 11.46859997456006, 80.31287710368633]}, "5": {"mean": 1.8828173875808716, "std": 1.1908674240112305, "pca": [0.5022441148757935, -0.47728511691093445, -0.060382433235645294, 0.053904272615909576, 0.34644442796707153, -0.1570465862751007, -0.6072155237197876, 0.0, 0.0, 0.0], "fourier": [19.642671067950204, 20.114535360243636, 21.387592430148306, 21.752159995239374, 169.45355880632997]}, "6": {"mean": 2.3989107608795166, "std": 1.4757517576217651, "pca": [0.6279882788658142, -0.087190642952919, -0.13836780190467834, -0.35535821318626404, 0.11513540893793106, -0.08374175429344177, 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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": [[-0.059686, 0.159866, -0.272699, 0.356073, 0.476119], [-0.209467, -0.275581, -0.363054, -0.41449, -0.077406], [0.465905, 0.436801, -0.024239, -0.245834, -0.049462], [-0.148336, -0.146184, 0.487954, 0.26188, -0.465511], [-0.171291, -0.203193, -0.065713, 0.006525, -0.249858], [0.550692, 0.471769, -0.073836, 0.158487, -0.248512], [-0.139447, 0.648747, 0.225482, 0.339561, -0.540695]], "network.0.bias": [-0.120098, 0.229846, 0.23372, -0.249555, -0.091864, 0.012276, 0.300616], "network.2.weight": [[-0.186759, -0.272018, 0.264063, 0.175373, -0.118091, -0.278326, -0.443154], [0.378809, -0.157766, -0.203351, -0.249549, -0.051117, -0.413263, 0.188959], [0.090973, -0.318423, 0.06302, 0.520257, -0.205408, -0.136845, 0.439319], [-0.213004, -0.26662, 0.542396, 0.058096, -0.1341, 0.572846, 0.600677], [-0.343995, 0.283122, 0.197712, -0.02188, -0.039965, -0.201406, -0.232664], [0.426749, -0.008388, -0.271768, 0.09226, -0.289191, -0.365348, -0.26627], [0.190761, -0.031079, 0.335212, -0.174644, -0.171413, 0.539969, 0.101063]], "network.2.bias": [-0.33529, -0.195049, 0.054796, 0.406474, -0.180954, 0.158186, -0.112132], "network.4.weight": [[-0.049168, 0.231055, -0.421651, 0.230466, -0.164055, -0.064473, 0.146304], [-0.159223, -0.289599, 0.151231, 0.554311, -0.081081, -0.109749, 0.072797], [-0.177691, -0.386136, 0.514872, 0.205265, -0.19248, -0.496971, 0.110864], [-0.286405, -0.189966, -0.32716, -0.048077, -0.437633, 0.089619, 0.123168], [0.186782, -0.167853, 0.070612, 0.17451, -0.189686, -0.097642, 0.25567], [0.288384, -0.360396, 0.240937, 0.003054, -0.071785, 0.10052, -0.503223], [-0.058768, -0.059752, -0.146358, 0.016357, 0.353483, -0.48886, 0.209353]], "network.4.bias": [-0.366808, 0.270888, 0.446259, -0.486477, 0.062792, 0.273646, 0.454098], "network.6.weight": [[0.480902, 0.58138, -0.007675, -0.20986, 0.066591, 0.02081, 0.441611], [0.31227, 0.015304, 0.103096, 0.346224, -0.209565, 0.20435, -0.337552], [0.163906, -0.32534, -0.181348, 0.293821, 0.311893, -0.114256, -0.095427], [0.302684, -0.345676, 0.086881, 0.341987, 0.409434, 0.505342, -0.022857], [0.437519, 0.073531, 0.303611, 0.298024, 0.088128, 0.38604, -0.01946], [0.049561, 0.28505, 0.545152, 0.126399, 0.252229, 0.399215, 0.087333], [0.080719, 0.367526, 0.466681, -0.079625, 0.443383, 0.369754, 0.405788]], "network.6.bias": [0.129736, -0.479705, -0.260869, 0.005511, -0.039446, -0.018646, 0.097581], "network.8.weight": [[-0.198725, -0.014689, -0.309415, -0.301448, -0.281277, -0.533626, -0.489198]], "network.8.bias": [0.151589]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6801824569702148, "train_acc": 0.575, "val_loss": 0.6854748725891113, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6673676073551178, "train_acc": 0.575, "val_loss": 0.6763631701469421, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6544388234615326, "train_acc": 0.575, "val_loss": 0.6637240052223206, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6527957320213318, "train_acc": 0.575, "val_loss": 0.6456865072250366, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6318711042404175, "train_acc": 0.5, "val_loss": 0.613101601600647, "val_acc": 0.5}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6005238890647888, "train_acc": 0.5, "val_loss": 0.5779690146446228, "val_acc": 0.5}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5707192122936249, "train_acc": 0.5, "val_loss": 0.5430423617362976, "val_acc": 0.5}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5117098540067673, "train_acc": 0.5, "val_loss": 0.5094079375267029, "val_acc": 0.5}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4854518473148346, "train_acc": 0.595, "val_loss": 0.481974333524704, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.46125203371047974, "train_acc": 0.835, "val_loss": 0.46073004603385925, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.44371162354946136, "train_acc": 0.855, "val_loss": 0.447103351354599, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.4291719049215317, "train_acc": 0.855, "val_loss": 0.43673333525657654, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.4260820150375366, "train_acc": 0.865, "val_loss": 0.4280741810798645, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.42331983149051666, "train_acc": 0.86, "val_loss": 0.4206894636154175, "val_acc": 0.86}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6854748725891113, "final_val_loss": 0.6456865072250366, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.613101601600647, "final_val_loss": 0.4206894636154175, "initial_val_acc": 0.5, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 9}, "improvement": 0.36, "first_improvement_epoch": 3}}
|
9,758
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.58, "improved_accuracy": 0.78, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4617, "learning_rate": 0.07244320251315017, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: 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: [3.189130, -2.861699, -2.003424, -0.249236, -1.040029]
std: [3.142598, 1.912412, 1.292195, 2.439766, 0.812000]
pca: [[0.743743, 0.114383, 0.646702, -0.123871, 0.014003, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.378840, -0.523459, 0.409837, -0.632130, -0.122127, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.282357, -0.124724, 0.486295, 0.676457, -0.458957, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.459355, 0.771595, 0.354712, -0.171533, 0.195935, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.112223, -0.319363, 0.226951, 0.313129, 0.857821, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.851709, 53.298932, 57.132081, 58.655739, 287.021663], [29.530050, 29.554878, 35.620938, 37.860541, 257.552871], [20.610388, 20.858711, 25.228771, 26.809614, 180.308202], [37.810809, 40.681726, 41.966550, 43.168491, 43.964630], [13.505168, 13.525094, 14.309865, 14.453959, 93.602643]]
### 2
mean: [-0.762640, -1.128906, 1.452983, 0.634086, 1.778989]
std: [0.719151, 0.571785, 1.985427, 0.524669, 2.211919]
pca: [[-0.222255, -0.351155, 0.488461, -0.363753, 0.675561, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.171383, -0.360138, 0.427653, 0.802140, -0.120886, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.640158, -0.105557, 0.575940, -0.279654, -0.411269, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.048536, 0.856743, 0.439316, 0.170759, 0.203664, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.713493, -0.042903, -0.231978, 0.341892, 0.564254, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.673429, 12.522820, 12.958321, 13.375536, 68.637644], [9.253777, 10.162431, 10.192971, 10.353160, 101.601511], [31.205339, 31.727841, 36.605693, 40.543988, 130.768451], [8.563851, 8.683030, 9.300775, 9.958044, 57.067727], [34.863041, 35.428293, 40.602422, 45.171973, 160.108973]]
### 4
mean: [0.616499, -1.339905, 2.302305, 1.576958, 1.385603]
std: [1.155018, 1.093835, 2.920262, 2.074509, 1.786336]
pca: [[0.267452, 0.381794, -0.375660, -0.317163, 0.735520, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.247429, 0.842939, 0.459234, -0.033292, -0.127389, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.679508, 0.224073, -0.014572, 0.694820, -0.071226, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.482742, 0.139273, -0.205451, -0.583271, -0.604275, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.415304, -0.272177, 0.778178, -0.274444, 0.269373, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.691942, 19.394256, 20.729714, 22.595784, 55.484923], [17.821156, 19.087623, 19.588251, 20.374691, 120.591476], [46.577031, 49.008113, 52.440724, 56.062387, 207.207456], [33.155923, 34.768866, 37.282662, 39.815938, 141.926254], [29.897283, 29.961151, 31.976685, 33.517629, 124.704276]]
### 6
mean: [-1.495754, -0.377126, 0.670890, 1.429480, 4.560318]
std: [1.443286, 0.122109, 0.267304, 1.625362, 5.008348]
pca: [[-0.263961, 0.281161, -0.613905, 0.633886, -0.269411, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.022126, 0.133717, 0.764129, 0.617934, -0.126075, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.048228, 0.808899, 0.016795, -0.075579, 0.580829, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.297252, -0.460668, -0.167014, 0.455802, 0.681012, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.916052, 0.191143, -0.105130, 0.053655, -0.332239, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.659504, 24.762937, 25.382803, 26.449709, 134.617897], [2.004353, 2.105631, 2.147702, 2.159970, 33.941350], [4.503113, 4.575645, 4.687650, 5.056512, 60.380095], [27.858014, 27.924364, 28.440716, 29.689210, 128.653171], [85.849568, 86.249035, 87.405696, 91.931979, 410.428674]]
### 8
mean: [-2.418489, -1.812941, -0.403241, 2.677109, 1.831601]
std: [2.296867, 1.939043, 0.022280, 3.463928, 2.278618]
pca: [[-0.448505, 0.286510, 0.842048, 0.070611, -0.052190, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.378624, -0.491512, -0.006148, 0.219260, 0.752959, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.003736, 0.350402, -0.200396, 0.913986, -0.040932, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.676395, -0.465172, 0.491811, 0.287004, -0.043087, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.444930, 0.580657, 0.094236, -0.170873, 0.653297, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.368405, 39.534304, 40.109280, 42.123541, 217.664038], [33.219843, 33.306210, 33.942100, 35.448333, 163.164671], [0.369207, 0.372610, 0.399294, 0.425533, 36.291717], [59.378446, 59.631813, 60.476362, 63.528595, 240.939817], [39.032832, 39.133801, 39.893236, 41.658864, 164.844090]]
### 10
mean: [-1.981117]
std: [2.644901]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.532187, 45.667153, 46.002192, 48.483136, 178.300499]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.573802,
0.054569,
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[
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0.041795
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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.10.bias": [
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}
## Activation Signature
### 0
mean: [3.189130, -2.861699, -2.003424, -0.249236, -1.040029]
std: [3.142598, 1.912412, 1.292195, 2.439766, 0.812000]
pca: [[0.743743, 0.114383, 0.646702, -0.123871, 0.014003, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.378840, -0.523459, 0.409837, -0.632130, -0.122127, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.282357, -0.124724, 0.486295, 0.676457, -0.458957, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.459355, 0.771595, 0.354712, -0.171533, 0.195935, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.112223, -0.319363, 0.226951, 0.313129, 0.857821, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.851709, 53.298932, 57.132081, 58.655739, 287.021663], [29.530050, 29.554878, 35.620938, 37.860541, 257.552871], [20.610388, 20.858711, 25.228771, 26.809614, 180.308202], [37.810809, 40.681726, 41.966550, 43.168491, 43.964630], [13.505168, 13.525094, 14.309865, 14.453959, 93.602643]]
### 2
mean: [-0.762640, -1.128906, 1.452983, 0.634086, 1.778989]
std: [0.719151, 0.571785, 1.985427, 0.524669, 2.211919]
pca: [[-0.222255, -0.351155, 0.488461, -0.363753, 0.675561, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.171383, -0.360138, 0.427653, 0.802140, -0.120886, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.640158, -0.105557, 0.575940, -0.279654, -0.411269, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.048536, 0.856743, 0.439316, 0.170759, 0.203664, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.713493, -0.042903, -0.231978, 0.341892, 0.564254, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.673429, 12.522820, 12.958321, 13.375536, 68.637644], [9.253777, 10.162431, 10.192971, 10.353160, 101.601511], [31.205339, 31.727841, 36.605693, 40.543988, 130.768451], [8.563851, 8.683030, 9.300775, 9.958044, 57.067727], [34.863041, 35.428293, 40.602422, 45.171973, 160.108973]]
### 4
mean: [0.616499, -1.339905, 2.302305, 1.576958, 1.385603]
std: [1.155018, 1.093835, 2.920262, 2.074509, 1.786336]
pca: [[0.267452, 0.381794, -0.375660, -0.317163, 0.735520, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.247429, 0.842939, 0.459234, -0.033292, -0.127389, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.679508, 0.224073, -0.014572, 0.694820, -0.071226, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.482742, 0.139273, -0.205451, -0.583271, -0.604275, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.415304, -0.272177, 0.778178, -0.274444, 0.269373, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.691942, 19.394256, 20.729714, 22.595784, 55.484923], [17.821156, 19.087623, 19.588251, 20.374691, 120.591476], [46.577031, 49.008113, 52.440724, 56.062387, 207.207456], [33.155923, 34.768866, 37.282662, 39.815938, 141.926254], [29.897283, 29.961151, 31.976685, 33.517629, 124.704276]]
### 6
mean: [-1.495754, -0.377126, 0.670890, 1.429480, 4.560318]
std: [1.443286, 0.122109, 0.267304, 1.625362, 5.008348]
pca: [[-0.263961, 0.281161, -0.613905, 0.633886, -0.269411, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.022126, 0.133717, 0.764129, 0.617934, -0.126075, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.048228, 0.808899, 0.016795, -0.075579, 0.580829, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.297252, -0.460668, -0.167014, 0.455802, 0.681012, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.916052, 0.191143, -0.105130, 0.053655, -0.332239, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.659504, 24.762937, 25.382803, 26.449709, 134.617897], [2.004353, 2.105631, 2.147702, 2.159970, 33.941350], [4.503113, 4.575645, 4.687650, 5.056512, 60.380095], [27.858014, 27.924364, 28.440716, 29.689210, 128.653171], [85.849568, 86.249035, 87.405696, 91.931979, 410.428674]]
### 8
mean: [-2.418489, -1.812941, -0.403241, 2.677109, 1.831601]
std: [2.296867, 1.939043, 0.022280, 3.463928, 2.278618]
pca: [[-0.448505, 0.286510, 0.842048, 0.070611, -0.052190, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.378624, -0.491512, -0.006148, 0.219260, 0.752959, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.003736, 0.350402, -0.200396, 0.913986, -0.040932, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.676395, -0.465172, 0.491811, 0.287004, -0.043087, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.444930, 0.580657, 0.094236, -0.170873, 0.653297, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.368405, 39.534304, 40.109280, 42.123541, 217.664038], [33.219843, 33.306210, 33.942100, 35.448333, 163.164671], [0.369207, 0.372610, 0.399294, 0.425533, 36.291717], [59.378446, 59.631813, 60.476362, 63.528595, 240.939817], [39.032832, 39.133801, 39.893236, 41.658864, 164.844090]]
### 10
mean: [-1.981117]
std: [2.644901]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.532187, 45.667153, 46.002192, 48.483136, 178.300499]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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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": [[1.107882, 0.446014, 0.573802, 0.054569, -0.217248], [-0.216696, -0.507188, -0.427906, -0.318447, -0.121538], [-0.291655, -0.42453, -0.04326, -0.193989, 0.041795], [-1.202938, 0.037916, 0.342476, -0.330954, 0.620435], [0.087289, -0.312013, -0.207473, -0.084298, -0.074828]], "network.0.bias": [-0.049995, 0.058813, -0.41207, 0.40778, 0.12635], "network.2.weight": [[-0.233397, -0.088055, -0.213979, -0.003811, -0.283325], [-0.189946, 0.394171, 0.259721, -0.05035, -0.435466], [0.54243, -0.391735, -0.431973, -0.586218, -0.186182], [0.052914, -0.091782, 0.43396, 0.490787, 0.199917], [0.614998, -0.080976, 0.126162, -0.610649, 0.044092]], "network.2.bias": [-0.002513, -0.473838, 0.153682, 0.090195, 0.258582], "network.4.weight": [[-0.125782, -0.111877, 0.193465, -0.371904, 0.364116], [-0.259541, -0.038232, 0.099501, -0.362289, -0.628559], [-0.086709, -0.018031, 0.752304, -0.499842, 0.726096], [0.432027, -0.188879, 0.447931, -0.344216, 0.592497], [0.337893, 0.054782, 0.722754, -0.060162, 0.22947]], "network.4.bias": [-0.155589, -0.069392, 0.018231, -0.059565, -0.180483], "network.6.weight": [[-0.005317, 0.19496, -0.410047, -0.09881, -0.054673], [-0.179288, 0.186721, -0.096218, 0.046755, 0.136687], [0.105702, 0.238321, -0.423214, 0.229177, 0.513864], [0.170604, -0.010203, 0.480739, 0.16175, -0.122489], [0.652673, 0.04812, 0.75671, 0.530571, 0.684397]], "network.6.bias": [-0.250216, -0.281152, 0.487225, 0.034761, 0.332923], "network.8.weight": [[0.39452, -0.082349, 0.095124, -0.127649, -0.422195], [-0.12584, 0.314686, 0.546247, -0.232748, -0.340361], [-0.293935, 0.445291, -0.04748, 0.323264, -0.106229], [0.335627, 0.085972, 0.090961, 0.506403, 0.522519], [0.155538, 0.114003, -0.808441, 0.02342, 0.489886]], "network.8.bias": [-0.374491, -0.294549, -0.349047, -0.490662, 0.106462], "network.10.weight": [[-0.094284, -0.168457, 0.004637, -0.435182, -0.517423]], "network.10.bias": [0.181359]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6751655638217926, "train_acc": 0.565, "val_loss": 0.6634920239448547, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6839283108711243, "train_acc": 0.565, "val_loss": 0.6654028296470642, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6712914705276489, "train_acc": 0.565, "val_loss": 0.6526023149490356, "val_acc": 0.58}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6569952368736267, "train_acc": 0.565, "val_loss": 0.6053839921951294, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6479699909687042, "train_acc": 0.48, "val_loss": 0.609727680683136, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5942560732364655, "train_acc": 0.74, "val_loss": 0.4669792056083679, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5080026537179947, "train_acc": 0.76, "val_loss": 0.4327618479728699, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4879753291606903, "train_acc": 0.785, "val_loss": 0.47835254669189453, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.473376989364624, "train_acc": 0.775, "val_loss": 0.4756515920162201, "val_acc": 0.72}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.4520309418439865, "train_acc": 0.785, "val_loss": 0.47860243916511536, "val_acc": 0.72}], "summary": {"total_epochs": 10, "degraded_epochs": 4, "improved_epochs": 6, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6634920239448547, "final_val_loss": 0.6053839921951294, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.609727680683136, "final_val_loss": 0.47860243916511536, "initial_val_acc": 0.72, "final_val_acc": 0.72, "best_val_acc": 0.78, "best_epoch": 5}, "improvement": 0.20000000000000007, "first_improvement_epoch": 3}}
|
9,759
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.5, "improved_accuracy": 0.92, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2793, "learning_rate": 0.08362247030685781, "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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
mean: [-2.215015, -0.063377, -2.373974, 1.281726, -1.649938, -0.340973, 1.296862, -1.924820]
std: [1.838404, 1.617246, 1.746812, 1.551195, 1.200106, 1.302682, 1.621858, 1.347076]
pca: [[0.305456, 0.605279, 0.365083, 0.023924, 0.289683, -0.022038, -0.005288, -0.567490, 0.000000, 0.000000], [0.228472, -0.523730, -0.380517, 0.223547, 0.529340, 0.177695, -0.031458, -0.407401, 0.000000, 0.000000], [0.531419, 0.006147, -0.379119, -0.014721, -0.423719, -0.480997, 0.373228, -0.153014, 0.000000, 0.000000], [-0.438613, 0.110321, 0.000452, 0.680810, -0.059923, 0.021926, 0.558552, -0.126072, 0.000000, 0.000000], [0.330273, 0.191231, -0.005621, 0.191511, 0.546303, -0.169644, 0.204595, 0.669744, 0.000000, 0.000000], [0.265504, -0.226181, 0.373659, 0.615055, -0.242644, -0.216433, -0.501443, 0.057198, 0.000000, 0.000000], [0.223869, -0.464635, 0.641378, -0.202473, -0.034027, 0.162872, 0.503935, 0.000616, 0.000000, 0.000000], [0.387324, 0.208619, -0.164840, 0.172542, -0.307040, 0.796210, 0.021164, 0.144370, 0.000000, 0.000000]]
fourier: [[30.527220, 31.779012, 36.748470, 37.509805, 199.351332], [23.370806, 23.424984, 24.153960, 24.429954, 32.391448], [25.209568, 25.882088, 34.409204, 34.655327, 213.657695], [24.004142, 30.503649, 30.605405, 32.982740, 115.355390], [16.928379, 17.705303, 22.518731, 24.578166, 148.494450], [18.734648, 18.894121, 21.931574, 28.411773, 30.687611], [24.255801, 25.191834, 30.173880, 34.765823, 116.717626], [21.770515, 21.833193, 24.303101, 27.332074, 173.233814]]
### 2
mean: [1.045295, 0.978171, 0.353282, 0.299339, 0.788360, 0.676730, -1.413662, -0.396236]
std: [1.176427, 1.413754, 0.791426, 1.276863, 1.252553, 0.914551, 0.693129, 0.728564]
pca: [[0.404037, -0.165209, 0.483944, 0.218220, -0.328713, -0.376610, 0.525370, 0.041675, 0.000000, 0.000000], [0.488629, -0.314768, -0.300321, 0.095351, -0.395143, 0.061013, -0.402267, -0.491120, 0.000000, 0.000000], [0.276705, -0.085358, -0.182997, -0.274819, 0.482271, 0.261255, 0.566279, -0.430840, 0.000000, 0.000000], [0.447348, -0.045160, -0.305244, -0.558326, -0.075753, -0.104137, -0.015846, 0.613273, 0.000000, 0.000000], [-0.416120, -0.485758, -0.154206, -0.090431, -0.481943, 0.434871, 0.346601, 0.131952, 0.000000, 0.000000], [0.318031, -0.118413, -0.086779, 0.649348, 0.270240, 0.456005, -0.008775, 0.417857, 0.000000, 0.000000], [0.046076, 0.717482, -0.432767, 0.199456, -0.390623, 0.065327, 0.311873, -0.043691, 0.000000, 0.000000], [0.211866, 0.315499, 0.574757, -0.293976, -0.198998, 0.611574, -0.154176, -0.037591, 0.000000, 0.000000]]
fourier: [[19.886157, 20.803704, 21.655327, 25.130500, 94.076577], [24.462331, 25.626691, 26.184099, 28.726040, 88.035379], [13.441558, 14.280642, 14.991439, 16.093217, 31.795349], [21.924136, 22.884036, 24.616200, 26.045891, 26.940484], [23.032784, 23.841668, 24.273640, 26.581279, 70.952364], [14.741793, 17.107127, 17.512908, 19.512416, 60.905670], [11.336168, 11.601870, 11.844398, 13.994886, 127.229559], [10.428019, 13.342286, 14.612249, 16.169233, 35.661208]]
### 4
mean: [2.059538, -0.490826, 2.728779, 2.352205, -0.108194, -1.270234, -0.753956, 2.321877]
std: [1.872017, 0.398978, 2.928313, 2.212876, 1.284220, 0.356455, 0.344360, 2.351714]
pca: [[0.374904, -0.558288, -0.412386, 0.229636, 0.104939, -0.151771, -0.302124, -0.446812, 0.000000, 0.000000], [-0.079260, 0.012904, 0.267761, 0.597971, 0.194610, 0.206196, 0.553658, -0.421140, 0.000000, 0.000000], [0.594248, 0.302769, -0.267953, 0.095828, -0.484124, -0.223212, 0.426376, 0.090674, 0.000000, 0.000000], [0.448485, -0.043765, 0.711567, 0.055965, -0.305288, 0.212231, -0.376598, -0.086132, 0.000000, 0.000000], [-0.257024, -0.395117, 0.200338, 0.455448, -0.259046, -0.518702, 0.002965, 0.440553, 0.000000, 0.000000], [-0.004823, 0.646303, 0.011766, 0.342787, 0.256384, -0.439242, -0.429565, -0.146408, 0.000000, 0.000000], [-0.065750, 0.116030, -0.362641, 0.498310, -0.181418, 0.613621, -0.286257, 0.333176, 0.000000, 0.000000], [0.478004, -0.085299, 0.091289, 0.064304, 0.676600, 0.032659, 0.109924, 0.529934, 0.000000, 0.000000]]
fourier: [[31.878883, 33.114081, 34.521546, 35.418498, 185.358407], [7.158644, 7.314705, 7.359159, 7.803153, 44.174378], [49.919692, 53.914821, 57.482034, 58.285408, 245.590139], [36.599908, 40.285111, 41.929532, 44.442851, 211.698400], [19.842086, 22.415331, 24.407628, 25.492681, 26.354716], [5.561503, 6.392705, 6.497681, 7.558629, 114.321033], [5.508796, 5.835124, 6.241274, 6.670531, 67.856010], [40.581166, 42.314764, 45.001744, 46.052746, 208.968882]]
### 6
mean: [-3.136456, -1.873584, 3.063869, -1.542295, 5.034538, 3.665464, 6.292031, -1.598238]
std: [2.741891, 1.032509, 2.456896, 1.270014, 4.665338, 3.631206, 5.929973, 1.085579]
pca: [[-0.292992, -0.261905, 0.846726, 0.031060, 0.238170, 0.257989, 0.012366, -0.064935, 0.000000, 0.000000], [-0.109482, -0.466491, -0.137639, -0.569114, -0.028188, -0.169840, -0.336304, -0.533689, 0.000000, 0.000000], [0.262163, 0.575161, 0.134795, -0.277233, 0.630084, -0.123191, -0.284759, -0.110284, 0.000000, 0.000000], [-0.135588, -0.242558, -0.260043, -0.361033, 0.286479, 0.408363, -0.186390, 0.664261, 0.000000, 0.000000], [0.498901, 0.155996, 0.129709, -0.218887, -0.415971, 0.671488, -0.096251, -0.169807, 0.000000, 0.000000], [0.388132, -0.401698, -0.147134, 0.601044, 0.319316, 0.134711, -0.408809, -0.133623, 0.000000, 0.000000], [0.634066, -0.371599, 0.184642, -0.242434, 0.114397, -0.310028, 0.464184, 0.205758, 0.000000, 0.000000], [-0.116046, -0.019142, -0.325198, -0.001363, 0.418715, 0.396861, 0.615680, -0.410523, 0.000000, 0.000000]]
fourier: [[48.886225, 48.956051, 51.289575, 51.801424, 282.281041], [17.757591, 18.795380, 18.979388, 19.211034, 168.622558], [42.544113, 44.601468, 45.389274, 46.750356, 275.748160], [21.979303, 23.173291, 23.761608, 24.403250, 138.806500], [81.662854, 83.882365, 88.208251, 90.168508, 453.108391], [64.202637, 64.949650, 69.752939, 70.490249, 329.891739], [104.023753, 106.232795, 113.203533, 115.386175, 566.282802], [18.731416, 19.649760, 20.639581, 21.313556, 143.841401]]
### 8
mean: [-5.778475, -4.896526, 7.831622, 7.415749, 5.959845, -2.590598, -6.675407, 10.858448]
std: [4.849930, 4.117010, 6.825763, 6.477168, 5.297698, 2.165315, 5.639779, 9.475438]
pca: [[-0.288111, 0.520916, 0.201269, -0.354682, 0.529133, -0.374536, -0.228227, -0.083575, 0.000000, 0.000000], [-0.244575, 0.009283, 0.611259, 0.322796, 0.066720, 0.010725, 0.610887, -0.290711, 0.000000, 0.000000], [0.405493, 0.160746, -0.093937, 0.755374, 0.345472, -0.291841, -0.146209, 0.066506, 0.000000, 0.000000], [0.384781, -0.432114, 0.443380, -0.262702, 0.422469, 0.065103, 0.029680, 0.464783, 0.000000, 0.000000], [0.314716, -0.124284, -0.435015, -0.242505, 0.440229, 0.086438, 0.387041, -0.535151, 0.000000, 0.000000], [-0.128631, 0.204682, 0.051666, 0.173381, 0.311833, 0.859500, -0.266728, -0.041307, 0.000000, 0.000000], [-0.335037, 0.155609, -0.409457, 0.060635, 0.207480, 0.038888, 0.512927, 0.620121, 0.000000, 0.000000], [0.562896, 0.659123, 0.144506, -0.194563, -0.289217, 0.149917, 0.261597, 0.124151, 0.000000, 0.000000]]
fourier: [[85.964875, 87.065205, 90.778082, 92.545103, 520.062719], [72.627825, 74.003548, 76.966126, 78.667090, 440.687358], [120.436110, 122.827075, 127.467416, 130.207502, 704.845974], [114.724734, 116.373421, 121.069261, 123.478370, 667.417395], [93.592040, 95.174385, 99.035740, 101.160435, 536.386004], [38.342367, 38.889510, 40.498389, 41.331073, 233.153844], [99.713854, 101.428338, 105.333591, 107.530743, 600.786651], [166.908165, 170.605365, 176.747186, 180.762400, 977.260420]]
### 10
mean: [-2.279785, -2.402581, -4.038764, -4.183831, -9.442430, 1.675244, -2.617765, 15.067480]
std: [1.882802, 1.805939, 3.306452, 3.571966, 8.005466, 1.453940, 2.089710, 13.305639]
pca: [[-0.112897, 0.551494, 0.590598, 0.301761, -0.357843, 0.050644, -0.335453, 0.009887, 0.000000, 0.000000], [-0.108292, 0.168126, 0.340444, -0.176282, 0.118594, 0.344939, 0.664849, -0.487808, 0.000000, 0.000000], [-0.198268, 0.542224, -0.340618, -0.164863, -0.185092, -0.029506, 0.419624, 0.558809, 0.000000, 0.000000], [-0.214191, -0.150422, 0.285122, 0.191071, 0.573591, 0.442685, -0.030578, 0.536452, 0.000000, 0.000000], [-0.480045, -0.167241, -0.312888, 0.735296, -0.177434, 0.056244, 0.189647, -0.180045, 0.000000, 0.000000], [0.087185, -0.054914, -0.287631, -0.177269, -0.385252, 0.813270, -0.252868, -0.038182, 0.000000, 0.000000], [-0.125306, 0.534699, -0.384974, 0.007079, 0.552788, 0.053831, -0.342145, -0.352993, 0.000000, 0.000000], [0.797868, 0.184568, -0.095607, 0.491979, 0.095609, 0.118919, 0.226839, 0.058475, 0.000000, 0.000000]]
fourier: [[33.392930, 33.819655, 35.246860, 35.897151, 205.180686], [31.915959, 32.492802, 33.742644, 34.443086, 216.232297], [58.571756, 59.449783, 61.728817, 62.984706, 363.488818], [62.962365, 64.345823, 66.656252, 68.143135, 376.544758], [141.225094, 144.176732, 149.335238, 152.654797, 849.818587], [25.663785, 26.179909, 27.165298, 27.734778, 150.771947], [37.091471, 37.541218, 39.020545, 39.785163, 235.598817], [234.735497, 239.625340, 248.235456, 253.732237, 1356.073257]]
### 12
mean: [-7.154923]
std: [6.656097]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[117.399672, 119.981554, 123.945235, 126.773386, 643.942995]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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]
],
"network.8.bias": [
-0.194389,
-0.120919,
-0.1186,
-0.102403,
-0.228071,
-0.116873,
-0.15334,
-0.245887
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"network.10.weight": [
[
-0.31878,
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0.074318,
-0.529222,
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],
[
-0.287687,
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-0.274548,
0.159483,
-0.198085,
-0.0861,
-0.152755
],
[
-0.108899,
0.322316,
-0.351933,
-0.308618,
-0.313651,
-0.149939,
-0.07917,
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[
-0.303369,
-0.336887,
-0.020326,
-0.136235,
0.071422,
-0.014545,
-0.010281,
-0.309167
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[
-0.058682,
-0.02751,
-0.263532,
-0.209252,
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0.30106,
0.303627,
-0.325693
],
[
-0.202357,
-0.032774,
0.516386,
-0.074714,
0.034831,
0.227351,
0.149116,
-0.186726
],
[
0.301192,
0.122532,
-0.106334,
-0.334064,
-0.221429,
0.081905,
-0.045392,
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[
-0.146533,
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0.279807,
-0.131128,
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"network.10.bias": [
-0.107415,
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0.003323,
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"network.12.weight": [
[
0.051071,
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],
"network.12.bias": [
0.442648
]
}
## Activation Signature
### 0
mean: [-2.215015, -0.063377, -2.373974, 1.281726, -1.649938, -0.340973, 1.296862, -1.924820]
std: [1.838404, 1.617246, 1.746812, 1.551195, 1.200106, 1.302682, 1.621858, 1.347076]
pca: [[0.305456, 0.605279, 0.365083, 0.023924, 0.289683, -0.022038, -0.005288, -0.567490, 0.000000, 0.000000], [0.228472, -0.523730, -0.380517, 0.223547, 0.529340, 0.177695, -0.031458, -0.407401, 0.000000, 0.000000], [0.531419, 0.006147, -0.379119, -0.014721, -0.423719, -0.480997, 0.373228, -0.153014, 0.000000, 0.000000], [-0.438613, 0.110321, 0.000452, 0.680810, -0.059923, 0.021926, 0.558552, -0.126072, 0.000000, 0.000000], [0.330273, 0.191231, -0.005621, 0.191511, 0.546303, -0.169644, 0.204595, 0.669744, 0.000000, 0.000000], [0.265504, -0.226181, 0.373659, 0.615055, -0.242644, -0.216433, -0.501443, 0.057198, 0.000000, 0.000000], [0.223869, -0.464635, 0.641378, -0.202473, -0.034027, 0.162872, 0.503935, 0.000616, 0.000000, 0.000000], [0.387324, 0.208619, -0.164840, 0.172542, -0.307040, 0.796210, 0.021164, 0.144370, 0.000000, 0.000000]]
fourier: [[30.527220, 31.779012, 36.748470, 37.509805, 199.351332], [23.370806, 23.424984, 24.153960, 24.429954, 32.391448], [25.209568, 25.882088, 34.409204, 34.655327, 213.657695], [24.004142, 30.503649, 30.605405, 32.982740, 115.355390], [16.928379, 17.705303, 22.518731, 24.578166, 148.494450], [18.734648, 18.894121, 21.931574, 28.411773, 30.687611], [24.255801, 25.191834, 30.173880, 34.765823, 116.717626], [21.770515, 21.833193, 24.303101, 27.332074, 173.233814]]
### 2
mean: [1.045295, 0.978171, 0.353282, 0.299339, 0.788360, 0.676730, -1.413662, -0.396236]
std: [1.176427, 1.413754, 0.791426, 1.276863, 1.252553, 0.914551, 0.693129, 0.728564]
pca: [[0.404037, -0.165209, 0.483944, 0.218220, -0.328713, -0.376610, 0.525370, 0.041675, 0.000000, 0.000000], [0.488629, -0.314768, -0.300321, 0.095351, -0.395143, 0.061013, -0.402267, -0.491120, 0.000000, 0.000000], [0.276705, -0.085358, -0.182997, -0.274819, 0.482271, 0.261255, 0.566279, -0.430840, 0.000000, 0.000000], [0.447348, -0.045160, -0.305244, -0.558326, -0.075753, -0.104137, -0.015846, 0.613273, 0.000000, 0.000000], [-0.416120, -0.485758, -0.154206, -0.090431, -0.481943, 0.434871, 0.346601, 0.131952, 0.000000, 0.000000], [0.318031, -0.118413, -0.086779, 0.649348, 0.270240, 0.456005, -0.008775, 0.417857, 0.000000, 0.000000], [0.046076, 0.717482, -0.432767, 0.199456, -0.390623, 0.065327, 0.311873, -0.043691, 0.000000, 0.000000], [0.211866, 0.315499, 0.574757, -0.293976, -0.198998, 0.611574, -0.154176, -0.037591, 0.000000, 0.000000]]
fourier: [[19.886157, 20.803704, 21.655327, 25.130500, 94.076577], [24.462331, 25.626691, 26.184099, 28.726040, 88.035379], [13.441558, 14.280642, 14.991439, 16.093217, 31.795349], [21.924136, 22.884036, 24.616200, 26.045891, 26.940484], [23.032784, 23.841668, 24.273640, 26.581279, 70.952364], [14.741793, 17.107127, 17.512908, 19.512416, 60.905670], [11.336168, 11.601870, 11.844398, 13.994886, 127.229559], [10.428019, 13.342286, 14.612249, 16.169233, 35.661208]]
### 4
mean: [2.059538, -0.490826, 2.728779, 2.352205, -0.108194, -1.270234, -0.753956, 2.321877]
std: [1.872017, 0.398978, 2.928313, 2.212876, 1.284220, 0.356455, 0.344360, 2.351714]
pca: [[0.374904, -0.558288, -0.412386, 0.229636, 0.104939, -0.151771, -0.302124, -0.446812, 0.000000, 0.000000], [-0.079260, 0.012904, 0.267761, 0.597971, 0.194610, 0.206196, 0.553658, -0.421140, 0.000000, 0.000000], [0.594248, 0.302769, -0.267953, 0.095828, -0.484124, -0.223212, 0.426376, 0.090674, 0.000000, 0.000000], [0.448485, -0.043765, 0.711567, 0.055965, -0.305288, 0.212231, -0.376598, -0.086132, 0.000000, 0.000000], [-0.257024, -0.395117, 0.200338, 0.455448, -0.259046, -0.518702, 0.002965, 0.440553, 0.000000, 0.000000], [-0.004823, 0.646303, 0.011766, 0.342787, 0.256384, -0.439242, -0.429565, -0.146408, 0.000000, 0.000000], [-0.065750, 0.116030, -0.362641, 0.498310, -0.181418, 0.613621, -0.286257, 0.333176, 0.000000, 0.000000], [0.478004, -0.085299, 0.091289, 0.064304, 0.676600, 0.032659, 0.109924, 0.529934, 0.000000, 0.000000]]
fourier: [[31.878883, 33.114081, 34.521546, 35.418498, 185.358407], [7.158644, 7.314705, 7.359159, 7.803153, 44.174378], [49.919692, 53.914821, 57.482034, 58.285408, 245.590139], [36.599908, 40.285111, 41.929532, 44.442851, 211.698400], [19.842086, 22.415331, 24.407628, 25.492681, 26.354716], [5.561503, 6.392705, 6.497681, 7.558629, 114.321033], [5.508796, 5.835124, 6.241274, 6.670531, 67.856010], [40.581166, 42.314764, 45.001744, 46.052746, 208.968882]]
### 6
mean: [-3.136456, -1.873584, 3.063869, -1.542295, 5.034538, 3.665464, 6.292031, -1.598238]
std: [2.741891, 1.032509, 2.456896, 1.270014, 4.665338, 3.631206, 5.929973, 1.085579]
pca: [[-0.292992, -0.261905, 0.846726, 0.031060, 0.238170, 0.257989, 0.012366, -0.064935, 0.000000, 0.000000], [-0.109482, -0.466491, -0.137639, -0.569114, -0.028188, -0.169840, -0.336304, -0.533689, 0.000000, 0.000000], [0.262163, 0.575161, 0.134795, -0.277233, 0.630084, -0.123191, -0.284759, -0.110284, 0.000000, 0.000000], [-0.135588, -0.242558, -0.260043, -0.361033, 0.286479, 0.408363, -0.186390, 0.664261, 0.000000, 0.000000], [0.498901, 0.155996, 0.129709, -0.218887, -0.415971, 0.671488, -0.096251, -0.169807, 0.000000, 0.000000], [0.388132, -0.401698, -0.147134, 0.601044, 0.319316, 0.134711, -0.408809, -0.133623, 0.000000, 0.000000], [0.634066, -0.371599, 0.184642, -0.242434, 0.114397, -0.310028, 0.464184, 0.205758, 0.000000, 0.000000], [-0.116046, -0.019142, -0.325198, -0.001363, 0.418715, 0.396861, 0.615680, -0.410523, 0.000000, 0.000000]]
fourier: [[48.886225, 48.956051, 51.289575, 51.801424, 282.281041], [17.757591, 18.795380, 18.979388, 19.211034, 168.622558], [42.544113, 44.601468, 45.389274, 46.750356, 275.748160], [21.979303, 23.173291, 23.761608, 24.403250, 138.806500], [81.662854, 83.882365, 88.208251, 90.168508, 453.108391], [64.202637, 64.949650, 69.752939, 70.490249, 329.891739], [104.023753, 106.232795, 113.203533, 115.386175, 566.282802], [18.731416, 19.649760, 20.639581, 21.313556, 143.841401]]
### 8
mean: [-5.778475, -4.896526, 7.831622, 7.415749, 5.959845, -2.590598, -6.675407, 10.858448]
std: [4.849930, 4.117010, 6.825763, 6.477168, 5.297698, 2.165315, 5.639779, 9.475438]
pca: [[-0.288111, 0.520916, 0.201269, -0.354682, 0.529133, -0.374536, -0.228227, -0.083575, 0.000000, 0.000000], [-0.244575, 0.009283, 0.611259, 0.322796, 0.066720, 0.010725, 0.610887, -0.290711, 0.000000, 0.000000], [0.405493, 0.160746, -0.093937, 0.755374, 0.345472, -0.291841, -0.146209, 0.066506, 0.000000, 0.000000], [0.384781, -0.432114, 0.443380, -0.262702, 0.422469, 0.065103, 0.029680, 0.464783, 0.000000, 0.000000], [0.314716, -0.124284, -0.435015, -0.242505, 0.440229, 0.086438, 0.387041, -0.535151, 0.000000, 0.000000], [-0.128631, 0.204682, 0.051666, 0.173381, 0.311833, 0.859500, -0.266728, -0.041307, 0.000000, 0.000000], [-0.335037, 0.155609, -0.409457, 0.060635, 0.207480, 0.038888, 0.512927, 0.620121, 0.000000, 0.000000], [0.562896, 0.659123, 0.144506, -0.194563, -0.289217, 0.149917, 0.261597, 0.124151, 0.000000, 0.000000]]
fourier: [[85.964875, 87.065205, 90.778082, 92.545103, 520.062719], [72.627825, 74.003548, 76.966126, 78.667090, 440.687358], [120.436110, 122.827075, 127.467416, 130.207502, 704.845974], [114.724734, 116.373421, 121.069261, 123.478370, 667.417395], [93.592040, 95.174385, 99.035740, 101.160435, 536.386004], [38.342367, 38.889510, 40.498389, 41.331073, 233.153844], [99.713854, 101.428338, 105.333591, 107.530743, 600.786651], [166.908165, 170.605365, 176.747186, 180.762400, 977.260420]]
### 10
mean: [-2.279785, -2.402581, -4.038764, -4.183831, -9.442430, 1.675244, -2.617765, 15.067480]
std: [1.882802, 1.805939, 3.306452, 3.571966, 8.005466, 1.453940, 2.089710, 13.305639]
pca: [[-0.112897, 0.551494, 0.590598, 0.301761, -0.357843, 0.050644, -0.335453, 0.009887, 0.000000, 0.000000], [-0.108292, 0.168126, 0.340444, -0.176282, 0.118594, 0.344939, 0.664849, -0.487808, 0.000000, 0.000000], [-0.198268, 0.542224, -0.340618, -0.164863, -0.185092, -0.029506, 0.419624, 0.558809, 0.000000, 0.000000], [-0.214191, -0.150422, 0.285122, 0.191071, 0.573591, 0.442685, -0.030578, 0.536452, 0.000000, 0.000000], [-0.480045, -0.167241, -0.312888, 0.735296, -0.177434, 0.056244, 0.189647, -0.180045, 0.000000, 0.000000], [0.087185, -0.054914, -0.287631, -0.177269, -0.385252, 0.813270, -0.252868, -0.038182, 0.000000, 0.000000], [-0.125306, 0.534699, -0.384974, 0.007079, 0.552788, 0.053831, -0.342145, -0.352993, 0.000000, 0.000000], [0.797868, 0.184568, -0.095607, 0.491979, 0.095609, 0.118919, 0.226839, 0.058475, 0.000000, 0.000000]]
fourier: [[33.392930, 33.819655, 35.246860, 35.897151, 205.180686], [31.915959, 32.492802, 33.742644, 34.443086, 216.232297], [58.571756, 59.449783, 61.728817, 62.984706, 363.488818], [62.962365, 64.345823, 66.656252, 68.143135, 376.544758], [141.225094, 144.176732, 149.335238, 152.654797, 849.818587], [25.663785, 26.179909, 27.165298, 27.734778, 150.771947], [37.091471, 37.541218, 39.020545, 39.785163, 235.598817], [234.735497, 239.625340, 248.235456, 253.732237, 1356.073257]]
### 12
mean: [-7.154923]
std: [6.656097]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[117.399672, 119.981554, 123.945235, 126.773386, 643.942995]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": -2.215014696121216, "std": 1.8384040594100952, "pca": [0.305456280708313, 0.6052793860435486, 0.3650834560394287, 0.023924078792333603, 0.2896828353404999, -0.022037826478481293, -0.005287772510200739, -0.56749027967453, 0.0, 0.0], "fourier": [30.52721975900019, 31.779011993475986, 36.74846987856682, 37.50980450595438, 199.35133150219917]}, "1": {"mean": -0.06337698549032211, "std": 1.6172456741333008, "pca": [0.2284717708826065, -0.5237301588058472, -0.38051655888557434, 0.22354736924171448, 0.5293398499488831, 0.17769460380077362, -0.0314578115940094, -0.40740087628364563, 0.0, 0.0], "fourier": [23.37080617261355, 23.424984281492662, 24.153959602542596, 24.429954340557742, 32.39144760333497]}, "2": {"mean": -2.373974323272705, "std": 1.7468115091323853, "pca": [0.5314189195632935, 0.0061468505300581455, -0.37911856174468994, -0.014720825478434563, -0.42371949553489685, -0.4809967577457428, 0.3732280433177948, -0.15301403403282166, 0.0, 0.0], "fourier": [25.209568336762818, 25.882088069425162, 34.409203543924626, 34.65532714061026, 213.6576947569847]}, "3": {"mean": 1.2817264795303345, "std": 1.5511952638626099, "pca": [-0.43861275911331177, 0.1103207990527153, 0.0004517732304520905, 0.6808099150657654, -0.05992281064391136, 0.021925538778305054, 0.5585517883300781, -0.12607215344905853, 0.0, 0.0], "fourier": [24.004142436241704, 30.503649157000048, 30.605404511858605, 32.98274035291471, 115.35538999736309]}, "4": {"mean": -1.6499384641647339, "std": 1.2001063823699951, "pca": [0.33027327060699463, 0.19123147428035736, -0.005621401127427816, 0.1915111243724823, 0.5463029146194458, -0.16964365541934967, 0.2045947015285492, 0.669744074344635, 0.0, 0.0], "fourier": [16.928379211642834, 17.70530338279874, 22.518730967178332, 24.578166211725165, 148.49445041269064]}, "5": {"mean": -0.340973436832428, "std": 1.302681803703308, "pca": [0.26550358533859253, -0.22618113458156586, 0.3736586570739746, 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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": [[0.226533, -0.385453, -0.413602, 0.112047, -0.790792], [-0.585712, -0.214729, 0.172496, -0.045363, 0.608795], [-0.528906, -0.340407, 0.058543, -0.391959, -0.145055], [0.708188, -0.137026, 0.152058, 0.252952, 0.044931], [-0.083569, -0.438336, -0.234857, 0.042101, -0.232952], [-0.372095, -0.412984, 0.410135, 0.307338, -0.189172], [-0.756752, 0.170578, 0.298761, 0.30542, 0.008351], [-0.166184, -0.405162, -0.018433, -0.200489, -0.349386]], "network.0.bias": [-0.195544, 0.0429, -0.198338, -0.26537, -0.059581, -0.407855, 0.638434, -0.080366], "network.2.weight": [[0.224075, 0.626467, -0.050332, -0.2258, 0.159751, 0.11126, 0.558251, -0.070248], [0.443283, 0.2902, 0.103413, -0.316608, 0.062147, 0.453201, 0.748539, -0.304782], [0.037478, 0.181156, 0.362139, -0.249771, -0.000347, 0.348138, 0.307476, -0.345878], [0.341637, 0.298881, 0.07513, -0.462797, 0.093824, 0.575681, 0.430254, -0.227815], [0.140544, -0.465186, -0.19336, 0.612696, 0.351282, 0.070372, -0.280125, 0.400594], [0.00462, 0.199591, 0.50418, -0.196376, -0.263263, -0.023013, 0.579486, 0.243836], [0.034787, -0.209092, 0.053419, -0.442194, 0.313332, -0.307805, -0.181614, 0.046009], [0.102594, 0.531894, 0.523834, -0.319437, 0.211619, -0.04689, 0.00409, -0.063784]], "network.2.bias": [0.09732, -0.096868, -0.023496, -0.137048, 0.634807, -0.064115, -0.319747, -0.249681], "network.4.weight": [[0.266311, 0.74689, 0.433041, 0.706857, 0.047277, 0.285184, 0.104605, -0.017078], [-0.169865, -0.066506, 0.154021, -0.505956, 0.096484, 0.221104, -0.569342, 0.210796], [0.666955, 0.617109, 0.603753, 0.657486, -0.599051, 0.51709, 0.171326, 0.311741], [0.584581, 0.404841, 0.016898, 0.765411, -0.193754, 0.624402, 0.193355, 0.730834], [-0.272898, -0.348136, 0.008155, -0.381481, 0.459372, 0.061749, -0.060503, -0.228281], [0.089231, 0.068943, -0.443635, -0.416189, -0.374971, -0.061199, -0.24619, 0.112867], [-0.284256, 0.053127, -0.025765, -0.287411, -0.055977, 0.099238, -0.060084, -0.087795], [0.501173, 0.812065, 0.269437, 0.591256, -0.262756, 0.298777, 0.065466, 0.493851]], "network.4.bias": [-0.205601, -0.235353, 0.44352, 0.164926, 0.472069, -0.537277, -0.287389, 0.077401], "network.6.weight": [[-0.344322, -0.353205, -0.281164, -0.191324, 0.032268, -0.066593, -0.234043, -0.453246], [-0.001912, -0.348589, -0.396513, -0.239687, -0.209511, -0.073884, 0.119526, 0.17278], [0.034195, -0.439452, 0.368227, 0.425938, 0.180488, -0.35895, -0.326738, 0.301398], [0.073718, -0.340732, -0.305473, -0.132995, -0.047602, -0.315312, -0.140139, -0.173954], [0.292798, 0.004817, 0.588727, 0.698555, -0.22295, -0.115306, 0.346211, 0.479933], [0.378535, 0.164926, 0.623472, 0.330417, -0.442882, 0.048274, -0.288892, 0.188351], [0.481971, -0.384107, 0.729987, 0.819044, -0.587276, 0.265877, 0.348512, 0.523934], [0.082205, -0.130866, -0.142912, -0.099138, 0.07642, -0.093476, 0.171801, -0.288111]], "network.6.bias": [0.008613, -0.41003, 0.010592, 0.009728, -0.139436, -0.065035, 0.076122, -0.416943], "network.8.weight": [[0.101393, -0.321666, 0.014141, 0.114697, -0.217588, -0.438388, -0.429192, -0.441989], [0.059301, -0.103428, -0.121213, 0.115619, -0.292073, -0.09335, -0.387659, 0.009178], [-0.493595, -0.051327, 0.451218, -0.294342, 0.415866, 0.516363, 0.370734, 0.102717], [0.341167, 0.096216, 0.180636, -0.271454, 0.180925, 0.661573, 0.529606, 0.069578], [0.359702, 0.188132, 0.240432, 0.19377, 0.090585, 0.205455, 0.63999, 0.324412], [-0.187548, -0.006997, 0.101772, 0.299253, -0.243661, -0.13895, -0.150723, -0.157347], [-0.191234, 0.245713, -0.118142, -0.186322, -0.450962, -0.507534, -0.284494, 0.174133], [0.348466, 0.280279, 0.755044, 0.337306, 0.580977, 0.473413, 0.604179, 0.225142]], "network.8.bias": [-0.194389, -0.120919, -0.1186, -0.102403, -0.228071, -0.116873, -0.15334, -0.245887], "network.10.weight": [[-0.31878, 0.130526, 0.074318, -0.529222, 0.330071, -0.143273, 0.09103, -0.074097], [-0.287687, 0.071658, 0.084739, -0.274548, 0.159483, -0.198085, -0.0861, -0.152755], [-0.108899, 0.322316, -0.351933, -0.308618, -0.313651, -0.149939, -0.07917, 0.289139], [-0.303369, -0.336887, -0.020326, -0.136235, 0.071422, -0.014545, -0.010281, -0.309167], [-0.058682, -0.02751, -0.263532, -0.209252, -0.336975, 0.30106, 0.303627, -0.325693], [-0.202357, -0.032774, 0.516386, -0.074714, 0.034831, 0.227351, 0.149116, -0.186726], [0.301192, 0.122532, -0.106334, -0.334064, -0.221429, 0.081905, -0.045392, 0.206928], [-0.146533, -0.042189, 0.534464, 0.372205, 0.461649, 0.279807, -0.131128, 0.50979]], "network.10.bias": [-0.107415, -0.325134, -0.249707, -0.082696, -0.264574, 0.003323, -0.224214, -0.190929], "network.12.weight": [[0.051071, -0.309295, -0.30229, 0.030481, 0.008117, -0.230592, 0.257168, -0.477052]], "network.12.bias": [0.442648]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6842652857303619, "train_acc": 0.515, "val_loss": 0.7454352378845215, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6515037715435028, "train_acc": 0.58, "val_loss": 0.5910453796386719, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5257824957370758, "train_acc": 0.5, "val_loss": 0.4236043691635132, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.41789987683296204, "train_acc": 0.915, "val_loss": 0.3860384225845337, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.34671977162361145, "train_acc": 0.93, "val_loss": 0.32387295365333557, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.30719636380672455, "train_acc": 0.935, "val_loss": 0.3002740442752838, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3258991241455078, "train_acc": 0.93, "val_loss": 0.28246140480041504, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.26925595104694366, "train_acc": 0.93, "val_loss": 0.2691066265106201, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.24867499619722366, "train_acc": 0.935, "val_loss": 0.26678693294525146, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.24321170896291733, "train_acc": 0.93, "val_loss": 0.2786317467689514, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.23021136224269867, "train_acc": 0.93, "val_loss": 0.2517966032028198, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.22488907724618912, "train_acc": 0.93, "val_loss": 0.23889563977718353, "val_acc": 0.92}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7454352378845215, "final_val_loss": 0.5910453796386719, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.4236043691635132, "final_val_loss": 0.23889563977718353, "initial_val_acc": 0.9, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 4}, "improvement": 0.42000000000000004, "first_improvement_epoch": 1}}
|
9,760
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.42, "improved_accuracy": 0.9, "improvement": 0.48000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6734, "learning_rate": 0.02326595395912439, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.10.weight": [
[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [1.267684, 2.407217, 1.457287, -2.128680, -1.902866, 0.614202, -0.999870, 0.847455]
std: [1.118106, 1.776482, 1.680063, 1.381287, 1.449268, 1.191260, 1.132268, 1.129207]
pca: [[0.005754, 0.526611, -0.056041, -0.055490, 0.172434, 0.644237, -0.488548, -0.181584, 0.000000, 0.000000], [0.561198, 0.185204, 0.430933, -0.276760, 0.493979, 0.031438, 0.353842, 0.135090, 0.000000, 0.000000], [0.492499, -0.316489, -0.017971, 0.714354, 0.203469, 0.016788, -0.323867, 0.009142, 0.000000, 0.000000], [-0.436628, -0.192417, -0.198956, 0.045668, 0.779580, -0.066818, 0.112961, -0.325105, 0.000000, 0.000000], [-0.317781, -0.304495, 0.716194, 0.199094, -0.130819, 0.436201, 0.149777, -0.154620, 0.000000, 0.000000], [0.125760, -0.459567, -0.446562, -0.197111, -0.004980, 0.608642, 0.267368, 0.304559, 0.000000, 0.000000], [-0.365979, 0.160061, 0.116905, 0.192310, 0.224585, -0.021053, -0.131275, 0.849514, 0.000000, 0.000000], [-0.032920, 0.470799, -0.212677, 0.540798, -0.097626, 0.134398, 0.638212, -0.068282, 0.000000, 0.000000]]
fourier: [[19.322931, 20.319567, 20.500014, 22.371809, 114.091567], [26.343295, 27.615190, 28.428743, 35.843984, 216.649483], [25.160813, 25.946921, 28.244148, 30.217769, 131.155817], [21.414466, 22.777429, 25.392418, 28.881753, 191.581162], [22.414393, 23.438789, 25.042112, 29.215137, 171.257963], [20.162756, 20.656671, 20.774065, 21.316774, 55.278148], [15.950855, 17.930278, 17.971211, 19.377256, 89.988261], [18.750024, 18.878844, 20.004535, 22.847476, 76.270978]]
### 2
mean: [-1.315195, 0.846046, 1.295062, 1.454991, -1.308837, 0.210838, 1.281259, -1.489777]
std: [0.745271, 1.253678, 1.218451, 1.467818, 0.659966, 0.688409, 1.536515, 0.712211]
pca: [[-0.161415, -0.343530, -0.375899, -0.275837, 0.374426, -0.031567, 0.702525, 0.061765, 0.000000, 0.000000], [-0.455326, 0.283429, 0.410398, -0.265904, 0.193966, -0.175329, -0.018010, 0.636025, 0.000000, 0.000000], [0.458641, 0.182518, 0.609461, -0.282410, 0.299554, 0.230706, 0.285530, -0.283993, 0.000000, 0.000000], [-0.444987, 0.545289, -0.254828, 0.075876, 0.346182, 0.426449, -0.076238, -0.355583, 0.000000, 0.000000], [-0.110582, -0.337384, 0.171788, 0.222312, 0.642718, -0.431511, -0.349244, -0.271571, 0.000000, 0.000000], [-0.253272, 0.077706, 0.330916, 0.691258, -0.181279, -0.137459, 0.528227, -0.108124, 0.000000, 0.000000], [0.529048, 0.439735, -0.319409, 0.343507, 0.341325, -0.216378, 0.076302, 0.370915, 0.000000, 0.000000], [0.044640, -0.397201, 0.113380, 0.349912, 0.223957, 0.693731, -0.109445, 0.401928, 0.000000, 0.000000]]
fourier: [[11.307619, 11.422527, 12.168962, 13.108512, 118.367553], [21.481357, 22.046848, 23.543263, 26.069299, 76.144164], [17.165464, 20.903828, 20.957422, 23.348391, 116.555551], [24.215960, 24.321019, 24.865857, 26.046794, 130.949147], [9.672848, 10.050592, 10.130303, 12.903974, 117.795305], [11.537548, 12.089616, 12.247444, 13.553704, 18.975398], [20.901854, 20.903576, 21.953135, 29.165176, 115.313347], [10.844948, 11.257180, 11.525116, 14.863787, 134.079900]]
### 4
mean: [-0.918165, 1.044740, 0.554050, -0.996281, 0.358218, -1.000274, 0.562645, 0.588401]
std: [0.486946, 1.201947, 0.865525, 0.513136, 0.805987, 0.504899, 0.794325, 1.827803]
pca: [[-0.121296, 0.421735, -0.123198, 0.790222, -0.019216, 0.123142, 0.106883, 0.375288, 0.000000, 0.000000], [-0.441918, -0.390209, -0.388059, -0.146539, -0.056639, 0.362031, -0.367124, 0.459704, 0.000000, 0.000000], [-0.315529, -0.299921, 0.623458, 0.359216, 0.160364, -0.198949, -0.463809, -0.111069, 0.000000, 0.000000], [-0.119386, 0.469367, 0.004041, -0.325882, 0.695315, -0.228492, -0.200051, 0.289024, 0.000000, 0.000000], [0.301270, -0.204072, -0.119440, 0.216489, 0.606679, 0.579318, -0.028130, -0.319370, 0.000000, 0.000000], [0.110100, 0.477123, 0.382542, -0.211353, -0.316938, 0.568641, -0.380560, -0.024405, 0.000000, 0.000000], [-0.301007, -0.127139, 0.487314, -0.163963, 0.136875, 0.309483, 0.665774, 0.266651, 0.000000, 0.000000], [0.694761, -0.272329, 0.217800, 0.020474, -0.000618, -0.085081, -0.098920, 0.615031, 0.000000, 0.000000]]
fourier: [[7.791024, 7.829425, 8.220411, 8.423849, 82.634839], [17.633106, 21.304185, 21.720072, 24.359692, 94.026569], [12.704387, 14.359063, 15.475805, 17.541595, 49.864524], [8.033302, 8.073448, 8.960918, 9.714468, 89.665274], [13.177741, 13.687433, 15.730373, 16.572419, 32.239635], [7.288921, 7.730268, 7.932348, 8.768730, 90.024667], [12.510125, 12.933389, 14.992214, 16.889552, 50.638055], [29.429748, 31.118085, 35.864380, 38.141637, 52.956081]]
### 6
mean: [1.114795, -0.380676, -0.997640, 0.771377, -0.407436, -0.370096, 0.809896, 0.823675]
std: [1.517986, 0.098199, 0.510913, 0.970606, 0.283699, 0.488181, 1.568975, 1.145742]
pca: [[0.555891, -0.229357, -0.018494, 0.056672, 0.006629, 0.607018, -0.128215, -0.499873, 0.000000, 0.000000], [-0.025551, 0.152546, 0.557237, -0.429304, 0.234042, 0.155896, 0.619804, -0.134256, 0.000000, 0.000000], [-0.163825, 0.581283, -0.216068, -0.072433, 0.649296, 0.136609, -0.326609, -0.190837, 0.000000, 0.000000], [0.354838, -0.191431, 0.497730, 0.163398, 0.377593, -0.562713, -0.299384, -0.118983, 0.000000, 0.000000], [0.087935, 0.353559, 0.183115, -0.541027, -0.539490, -0.149804, -0.427294, -0.212016, 0.000000, 0.000000], [0.154716, 0.574737, 0.369401, 0.619500, -0.248163, 0.181342, 0.046790, 0.169833, 0.000000, 0.000000], [0.573713, 0.306999, -0.473363, -0.045934, -0.017328, -0.397498, 0.430222, -0.083828, 0.000000, 0.000000], [0.420438, -0.003781, 0.025755, -0.319280, 0.167583, 0.242047, -0.182316, 0.775052, 0.000000, 0.000000]]
fourier: [[23.788528, 27.824220, 27.886941, 32.043888, 100.331583], [1.454346, 1.556436, 1.586107, 1.774674, 34.260865], [6.839472, 7.025608, 8.919491, 9.916924, 89.787568], [14.940543, 17.579166, 17.867420, 20.368980, 69.423958], [4.818649, 5.113839, 5.267884, 5.556513, 36.669265], [8.151791, 9.036303, 9.291468, 9.584671, 33.308661], [26.205129, 27.201626, 30.037192, 33.733359, 72.890658], [18.543261, 20.570080, 21.378539, 24.477541, 74.130776]]
### 8
mean: [1.073043, 1.081751, 2.603726, 0.067012, 0.060988, -0.616097, 1.117175, -0.068242]
std: [0.747168, 0.930525, 2.115478, 0.273163, 0.181149, 0.420186, 0.940362, 0.337358]
pca: [[0.278742, -0.475409, 0.553162, 0.356310, -0.385843, -0.239066, -0.194746, -0.139247, 0.000000, 0.000000], [0.347262, 0.189539, -0.090267, 0.772285, 0.238074, 0.320961, 0.271069, 0.075754, 0.000000, 0.000000], [0.789510, -0.121365, -0.018546, -0.441786, 0.313351, 0.041962, 0.070345, -0.248048, 0.000000, 0.000000], [0.101536, 0.574426, 0.131000, -0.054612, -0.434368, 0.405044, -0.308206, -0.438012, 0.000000, 0.000000], [0.067420, -0.314874, 0.069687, -0.156941, -0.092988, 0.681846, -0.278555, 0.561844, 0.000000, 0.000000], [-0.156767, 0.229669, 0.586941, 0.019548, 0.658080, -0.023505, -0.378517, 0.029963, 0.000000, 0.000000], [0.350865, 0.486041, 0.101891, -0.076863, -0.234230, -0.405629, -0.028090, 0.635752, 0.000000, 0.000000], [-0.125891, 0.072369, 0.555536, -0.218041, -0.104889, 0.209784, 0.752994, 0.027228, 0.000000, 0.000000]]
fourier: [[10.952809, 11.719108, 15.058055, 15.078474, 96.573891], [13.281756, 14.338042, 18.483250, 18.675247, 97.357629], [30.367608, 32.798040, 42.180484, 42.585148, 234.335385], [3.647491, 4.043491, 5.239253, 5.373638, 6.031054], [2.727172, 2.896556, 3.687388, 3.701862, 5.488877], [6.100820, 6.558696, 8.421637, 8.511028, 55.448766], [13.263675, 14.413129, 18.575883, 18.828612, 100.545724], [4.854612, 5.227617, 6.141757, 6.726119, 6.814879]]
### 10
mean: [-2.364146]
std: [2.136049]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.782446, 33.156497, 42.648202, 43.029868, 212.773149]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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"network.0.bias": [
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],
"network.2.bias": [
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[
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"network.4.bias": [
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"network.6.weight": [
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0.039031,
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"network.8.weight": [
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0.662404,
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0.345939,
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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: [1.267684, 2.407217, 1.457287, -2.128680, -1.902866, 0.614202, -0.999870, 0.847455]
std: [1.118106, 1.776482, 1.680063, 1.381287, 1.449268, 1.191260, 1.132268, 1.129207]
pca: [[0.005754, 0.526611, -0.056041, -0.055490, 0.172434, 0.644237, -0.488548, -0.181584, 0.000000, 0.000000], [0.561198, 0.185204, 0.430933, -0.276760, 0.493979, 0.031438, 0.353842, 0.135090, 0.000000, 0.000000], [0.492499, -0.316489, -0.017971, 0.714354, 0.203469, 0.016788, -0.323867, 0.009142, 0.000000, 0.000000], [-0.436628, -0.192417, -0.198956, 0.045668, 0.779580, -0.066818, 0.112961, -0.325105, 0.000000, 0.000000], [-0.317781, -0.304495, 0.716194, 0.199094, -0.130819, 0.436201, 0.149777, -0.154620, 0.000000, 0.000000], [0.125760, -0.459567, -0.446562, -0.197111, -0.004980, 0.608642, 0.267368, 0.304559, 0.000000, 0.000000], [-0.365979, 0.160061, 0.116905, 0.192310, 0.224585, -0.021053, -0.131275, 0.849514, 0.000000, 0.000000], [-0.032920, 0.470799, -0.212677, 0.540798, -0.097626, 0.134398, 0.638212, -0.068282, 0.000000, 0.000000]]
fourier: [[19.322931, 20.319567, 20.500014, 22.371809, 114.091567], [26.343295, 27.615190, 28.428743, 35.843984, 216.649483], [25.160813, 25.946921, 28.244148, 30.217769, 131.155817], [21.414466, 22.777429, 25.392418, 28.881753, 191.581162], [22.414393, 23.438789, 25.042112, 29.215137, 171.257963], [20.162756, 20.656671, 20.774065, 21.316774, 55.278148], [15.950855, 17.930278, 17.971211, 19.377256, 89.988261], [18.750024, 18.878844, 20.004535, 22.847476, 76.270978]]
### 2
mean: [-1.315195, 0.846046, 1.295062, 1.454991, -1.308837, 0.210838, 1.281259, -1.489777]
std: [0.745271, 1.253678, 1.218451, 1.467818, 0.659966, 0.688409, 1.536515, 0.712211]
pca: [[-0.161415, -0.343530, -0.375899, -0.275837, 0.374426, -0.031567, 0.702525, 0.061765, 0.000000, 0.000000], [-0.455326, 0.283429, 0.410398, -0.265904, 0.193966, -0.175329, -0.018010, 0.636025, 0.000000, 0.000000], [0.458641, 0.182518, 0.609461, -0.282410, 0.299554, 0.230706, 0.285530, -0.283993, 0.000000, 0.000000], [-0.444987, 0.545289, -0.254828, 0.075876, 0.346182, 0.426449, -0.076238, -0.355583, 0.000000, 0.000000], [-0.110582, -0.337384, 0.171788, 0.222312, 0.642718, -0.431511, -0.349244, -0.271571, 0.000000, 0.000000], [-0.253272, 0.077706, 0.330916, 0.691258, -0.181279, -0.137459, 0.528227, -0.108124, 0.000000, 0.000000], [0.529048, 0.439735, -0.319409, 0.343507, 0.341325, -0.216378, 0.076302, 0.370915, 0.000000, 0.000000], [0.044640, -0.397201, 0.113380, 0.349912, 0.223957, 0.693731, -0.109445, 0.401928, 0.000000, 0.000000]]
fourier: [[11.307619, 11.422527, 12.168962, 13.108512, 118.367553], [21.481357, 22.046848, 23.543263, 26.069299, 76.144164], [17.165464, 20.903828, 20.957422, 23.348391, 116.555551], [24.215960, 24.321019, 24.865857, 26.046794, 130.949147], [9.672848, 10.050592, 10.130303, 12.903974, 117.795305], [11.537548, 12.089616, 12.247444, 13.553704, 18.975398], [20.901854, 20.903576, 21.953135, 29.165176, 115.313347], [10.844948, 11.257180, 11.525116, 14.863787, 134.079900]]
### 4
mean: [-0.918165, 1.044740, 0.554050, -0.996281, 0.358218, -1.000274, 0.562645, 0.588401]
std: [0.486946, 1.201947, 0.865525, 0.513136, 0.805987, 0.504899, 0.794325, 1.827803]
pca: [[-0.121296, 0.421735, -0.123198, 0.790222, -0.019216, 0.123142, 0.106883, 0.375288, 0.000000, 0.000000], [-0.441918, -0.390209, -0.388059, -0.146539, -0.056639, 0.362031, -0.367124, 0.459704, 0.000000, 0.000000], [-0.315529, -0.299921, 0.623458, 0.359216, 0.160364, -0.198949, -0.463809, -0.111069, 0.000000, 0.000000], [-0.119386, 0.469367, 0.004041, -0.325882, 0.695315, -0.228492, -0.200051, 0.289024, 0.000000, 0.000000], [0.301270, -0.204072, -0.119440, 0.216489, 0.606679, 0.579318, -0.028130, -0.319370, 0.000000, 0.000000], [0.110100, 0.477123, 0.382542, -0.211353, -0.316938, 0.568641, -0.380560, -0.024405, 0.000000, 0.000000], [-0.301007, -0.127139, 0.487314, -0.163963, 0.136875, 0.309483, 0.665774, 0.266651, 0.000000, 0.000000], [0.694761, -0.272329, 0.217800, 0.020474, -0.000618, -0.085081, -0.098920, 0.615031, 0.000000, 0.000000]]
fourier: [[7.791024, 7.829425, 8.220411, 8.423849, 82.634839], [17.633106, 21.304185, 21.720072, 24.359692, 94.026569], [12.704387, 14.359063, 15.475805, 17.541595, 49.864524], [8.033302, 8.073448, 8.960918, 9.714468, 89.665274], [13.177741, 13.687433, 15.730373, 16.572419, 32.239635], [7.288921, 7.730268, 7.932348, 8.768730, 90.024667], [12.510125, 12.933389, 14.992214, 16.889552, 50.638055], [29.429748, 31.118085, 35.864380, 38.141637, 52.956081]]
### 6
mean: [1.114795, -0.380676, -0.997640, 0.771377, -0.407436, -0.370096, 0.809896, 0.823675]
std: [1.517986, 0.098199, 0.510913, 0.970606, 0.283699, 0.488181, 1.568975, 1.145742]
pca: [[0.555891, -0.229357, -0.018494, 0.056672, 0.006629, 0.607018, -0.128215, -0.499873, 0.000000, 0.000000], [-0.025551, 0.152546, 0.557237, -0.429304, 0.234042, 0.155896, 0.619804, -0.134256, 0.000000, 0.000000], [-0.163825, 0.581283, -0.216068, -0.072433, 0.649296, 0.136609, -0.326609, -0.190837, 0.000000, 0.000000], [0.354838, -0.191431, 0.497730, 0.163398, 0.377593, -0.562713, -0.299384, -0.118983, 0.000000, 0.000000], [0.087935, 0.353559, 0.183115, -0.541027, -0.539490, -0.149804, -0.427294, -0.212016, 0.000000, 0.000000], [0.154716, 0.574737, 0.369401, 0.619500, -0.248163, 0.181342, 0.046790, 0.169833, 0.000000, 0.000000], [0.573713, 0.306999, -0.473363, -0.045934, -0.017328, -0.397498, 0.430222, -0.083828, 0.000000, 0.000000], [0.420438, -0.003781, 0.025755, -0.319280, 0.167583, 0.242047, -0.182316, 0.775052, 0.000000, 0.000000]]
fourier: [[23.788528, 27.824220, 27.886941, 32.043888, 100.331583], [1.454346, 1.556436, 1.586107, 1.774674, 34.260865], [6.839472, 7.025608, 8.919491, 9.916924, 89.787568], [14.940543, 17.579166, 17.867420, 20.368980, 69.423958], [4.818649, 5.113839, 5.267884, 5.556513, 36.669265], [8.151791, 9.036303, 9.291468, 9.584671, 33.308661], [26.205129, 27.201626, 30.037192, 33.733359, 72.890658], [18.543261, 20.570080, 21.378539, 24.477541, 74.130776]]
### 8
mean: [1.073043, 1.081751, 2.603726, 0.067012, 0.060988, -0.616097, 1.117175, -0.068242]
std: [0.747168, 0.930525, 2.115478, 0.273163, 0.181149, 0.420186, 0.940362, 0.337358]
pca: [[0.278742, -0.475409, 0.553162, 0.356310, -0.385843, -0.239066, -0.194746, -0.139247, 0.000000, 0.000000], [0.347262, 0.189539, -0.090267, 0.772285, 0.238074, 0.320961, 0.271069, 0.075754, 0.000000, 0.000000], [0.789510, -0.121365, -0.018546, -0.441786, 0.313351, 0.041962, 0.070345, -0.248048, 0.000000, 0.000000], [0.101536, 0.574426, 0.131000, -0.054612, -0.434368, 0.405044, -0.308206, -0.438012, 0.000000, 0.000000], [0.067420, -0.314874, 0.069687, -0.156941, -0.092988, 0.681846, -0.278555, 0.561844, 0.000000, 0.000000], [-0.156767, 0.229669, 0.586941, 0.019548, 0.658080, -0.023505, -0.378517, 0.029963, 0.000000, 0.000000], [0.350865, 0.486041, 0.101891, -0.076863, -0.234230, -0.405629, -0.028090, 0.635752, 0.000000, 0.000000], [-0.125891, 0.072369, 0.555536, -0.218041, -0.104889, 0.209784, 0.752994, 0.027228, 0.000000, 0.000000]]
fourier: [[10.952809, 11.719108, 15.058055, 15.078474, 96.573891], [13.281756, 14.338042, 18.483250, 18.675247, 97.357629], [30.367608, 32.798040, 42.180484, 42.585148, 234.335385], [3.647491, 4.043491, 5.239253, 5.373638, 6.031054], [2.727172, 2.896556, 3.687388, 3.701862, 5.488877], [6.100820, 6.558696, 8.421637, 8.511028, 55.448766], [13.263675, 14.413129, 18.575883, 18.828612, 100.545724], [4.854612, 5.227617, 6.141757, 6.726119, 6.814879]]
### 10
mean: [-2.364146]
std: [2.136049]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.782446, 33.156497, 42.648202, 43.029868, 212.773149]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 0.7043223679065704, "train_acc": 0.41, "val_loss": 0.6917247772216797, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6817876994609833, "train_acc": 0.59, "val_loss": 0.6959733366966248, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6583797037601471, "train_acc": 0.59, "val_loss": 0.6831923127174377, "val_acc": 0.42}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.621373176574707, "train_acc": 0.59, "val_loss": 0.6471953392028809, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5647301375865936, "train_acc": 0.52, "val_loss": 0.5657770037651062, "val_acc": 0.42}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.466148316860199, "train_acc": 0.685, "val_loss": 0.4946361482143402, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.3852057009935379, "train_acc": 0.935, "val_loss": 0.43884891271591187, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3353230208158493, "train_acc": 0.95, "val_loss": 0.4063452184200287, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.30389417707920074, "train_acc": 0.95, "val_loss": 0.3805573284626007, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.2863038629293442, "train_acc": 0.95, "val_loss": 0.3636595904827118, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.26987265050411224, "train_acc": 0.95, "val_loss": 0.3491625487804413, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.24651136249303818, "train_acc": 0.95, "val_loss": 0.33668678998947144, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.235397607088089, "train_acc": 0.95, "val_loss": 0.32530373334884644, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.2364121451973915, "train_acc": 0.95, "val_loss": 0.3152979016304016, "val_acc": 0.9}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6917247772216797, "final_val_loss": 0.6471953392028809, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.5657770037651062, "final_val_loss": 0.3152979016304016, "initial_val_acc": 0.42, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 6}, "improvement": 0.48000000000000004, "first_improvement_epoch": 3}}
|
9,761
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.5, "improved_accuracy": 0.88, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2310, "learning_rate": 0.07016898535162128, "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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[
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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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[
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[
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}
## Activation Signature
### 0
mean: [1.534480, -0.831719, -0.294034, -1.992977, -3.985233, -1.082591]
std: [2.228853, 1.002256, 0.716405, 1.930578, 2.896356, 0.864071]
pca: [[-0.496779, 0.626833, 0.386568, -0.364704, -0.234323, 0.151459, 0.000000, 0.000000, 0.000000, 0.000000], [0.049167, 0.284639, 0.225613, 0.690863, -0.370006, -0.501463, 0.000000, 0.000000, 0.000000, 0.000000], [0.038810, 0.197298, -0.014615, 0.550787, 0.084782, 0.805481, 0.000000, 0.000000, 0.000000, 0.000000], [0.370254, -0.360500, 0.823794, -0.097182, -0.131903, 0.165747, 0.000000, 0.000000, 0.000000, 0.000000], [0.775614, 0.502714, -0.197257, -0.268008, -0.182993, 0.038437, 0.000000, 0.000000, 0.000000, 0.000000], [0.103066, 0.323192, 0.286186, 0.071131, 0.866092, -0.218738, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.845695, 37.016148, 47.456976, 49.617504, 138.103166], [15.225559, 15.429182, 16.227887, 20.385098, 74.854718], [11.705108, 13.174382, 14.398619, 15.198854, 26.463049], [31.744830, 32.006272, 32.717931, 34.578831, 179.367920], [45.688763, 46.897974, 47.330026, 59.597230, 358.670977], [13.493618, 13.699015, 13.826924, 15.660062, 97.433185]]
### 2
mean: [1.048863, 1.608655, 1.617426, -0.192726, -0.647701, 1.290436]
std: [1.213925, 2.398997, 2.052626, 0.701343, 0.330610, 1.777393]
pca: [[0.307362, 0.712140, 0.344071, -0.295735, 0.399825, 0.180780, 0.000000, 0.000000, 0.000000, 0.000000], [0.616761, -0.406477, -0.013722, -0.102123, -0.110868, 0.656866, 0.000000, 0.000000, 0.000000, 0.000000], [0.528347, 0.000621, 0.018346, 0.731274, 0.269802, -0.336092, 0.000000, 0.000000, 0.000000, 0.000000], [-0.177149, -0.136735, 0.902296, 0.244566, -0.258769, 0.094916, 0.000000, 0.000000, 0.000000, 0.000000], [-0.073118, -0.551109, 0.211314, -0.306088, 0.717479, -0.194454, 0.000000, 0.000000, 0.000000, 0.000000], [0.457445, -0.072210, 0.149326, -0.462437, -0.416314, -0.613243, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.233040, 20.475514, 24.865286, 27.305399, 94.397628], [38.918635, 40.323804, 50.291874, 55.224408, 144.778950], [33.609175, 34.116840, 42.954721, 47.416768, 145.568334], [11.156003, 12.132682, 13.962800, 15.931996, 17.345382], [5.444855, 5.448106, 6.074852, 6.483827, 58.293123], [29.169815, 29.461383, 37.412488, 40.795793, 116.139198]]
### 4
mean: [-0.801554, -0.539764, 3.595871, 2.755230, -0.854871, -0.841096]
std: [2.394944, 0.997033, 4.866207, 3.725695, 1.318106, 2.094572]
pca: [[-0.337065, 0.598536, -0.191489, 0.659111, -0.194600, -0.138480, 0.000000, 0.000000, 0.000000, 0.000000], [-0.140293, 0.262616, 0.483364, 0.102854, 0.797309, 0.177284, 0.000000, 0.000000, 0.000000, 0.000000], [0.685555, -0.194783, -0.202711, 0.579868, 0.167398, 0.294471, 0.000000, 0.000000, 0.000000, 0.000000], [0.524781, 0.414725, 0.617383, -0.073609, -0.372164, -0.165896, 0.000000, 0.000000, 0.000000, 0.000000], [-0.185680, 0.108440, 0.119523, -0.066667, -0.334023, 0.907448, 0.000000, 0.000000, 0.000000, 0.000000], [-0.294699, -0.592529, 0.541435, 0.457037, -0.219841, -0.108153, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.807712, 40.071130, 49.128317, 55.677970, 72.139870], [16.117110, 16.668556, 20.615207, 23.178321, 48.578800], [79.934070, 80.621249, 100.405432, 112.902817, 323.628404], [61.188298, 61.717904, 76.704267, 86.181165, 247.970693], [21.598042, 21.912331, 27.187935, 30.581625, 76.938417], [34.145237, 35.006384, 43.400615, 48.084623, 75.698655]]
### 6
mean: [-0.855618, 2.939958, -0.246049, 4.607316, 3.491259, 3.117371]
std: [2.788373, 4.954516, 2.315448, 7.179913, 5.662021, 5.341571]
pca: [[-0.225997, 0.738594, -0.569266, -0.230240, -0.150693, -0.060184, 0.000000, 0.000000, 0.000000, 0.000000], [0.405096, 0.073659, -0.267652, 0.165123, 0.705459, -0.483628, 0.000000, 0.000000, 0.000000, 0.000000], [-0.188028, 0.539110, 0.696194, -0.102637, 0.410190, 0.102616, 0.000000, 0.000000, 0.000000, 0.000000], [0.587017, 0.190334, 0.311635, -0.308018, -0.474659, -0.449323, 0.000000, 0.000000, 0.000000, 0.000000], [0.462747, 0.342010, -0.015335, 0.666353, -0.156534, 0.447359, 0.000000, 0.000000, 0.000000, 0.000000], [0.436743, -0.072226, -0.149202, -0.608513, 0.248112, 0.591549, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[46.949547, 47.722682, 59.117396, 64.401381, 77.005598], [82.625865, 83.209641, 105.931177, 112.299725, 264.596241], [35.341496, 39.371624, 39.466876, 49.363748, 53.535338], [120.014090, 120.295400, 152.597982, 163.070992, 414.658452], [94.090723, 94.641346, 119.077979, 129.580662, 314.213332], [89.540962, 89.904852, 115.199179, 120.226531, 280.563404]]
### 8
mean: [-10.192837]
std: [15.386053]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[254.455178, 259.782363, 320.846832, 351.375957, 917.355411]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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:
{
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"network.6.weight": [
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}
## Activation Signature
### 0
mean: [1.534480, -0.831719, -0.294034, -1.992977, -3.985233, -1.082591]
std: [2.228853, 1.002256, 0.716405, 1.930578, 2.896356, 0.864071]
pca: [[-0.496779, 0.626833, 0.386568, -0.364704, -0.234323, 0.151459, 0.000000, 0.000000, 0.000000, 0.000000], [0.049167, 0.284639, 0.225613, 0.690863, -0.370006, -0.501463, 0.000000, 0.000000, 0.000000, 0.000000], [0.038810, 0.197298, -0.014615, 0.550787, 0.084782, 0.805481, 0.000000, 0.000000, 0.000000, 0.000000], [0.370254, -0.360500, 0.823794, -0.097182, -0.131903, 0.165747, 0.000000, 0.000000, 0.000000, 0.000000], [0.775614, 0.502714, -0.197257, -0.268008, -0.182993, 0.038437, 0.000000, 0.000000, 0.000000, 0.000000], [0.103066, 0.323192, 0.286186, 0.071131, 0.866092, -0.218738, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.845695, 37.016148, 47.456976, 49.617504, 138.103166], [15.225559, 15.429182, 16.227887, 20.385098, 74.854718], [11.705108, 13.174382, 14.398619, 15.198854, 26.463049], [31.744830, 32.006272, 32.717931, 34.578831, 179.367920], [45.688763, 46.897974, 47.330026, 59.597230, 358.670977], [13.493618, 13.699015, 13.826924, 15.660062, 97.433185]]
### 2
mean: [1.048863, 1.608655, 1.617426, -0.192726, -0.647701, 1.290436]
std: [1.213925, 2.398997, 2.052626, 0.701343, 0.330610, 1.777393]
pca: [[0.307362, 0.712140, 0.344071, -0.295735, 0.399825, 0.180780, 0.000000, 0.000000, 0.000000, 0.000000], [0.616761, -0.406477, -0.013722, -0.102123, -0.110868, 0.656866, 0.000000, 0.000000, 0.000000, 0.000000], [0.528347, 0.000621, 0.018346, 0.731274, 0.269802, -0.336092, 0.000000, 0.000000, 0.000000, 0.000000], [-0.177149, -0.136735, 0.902296, 0.244566, -0.258769, 0.094916, 0.000000, 0.000000, 0.000000, 0.000000], [-0.073118, -0.551109, 0.211314, -0.306088, 0.717479, -0.194454, 0.000000, 0.000000, 0.000000, 0.000000], [0.457445, -0.072210, 0.149326, -0.462437, -0.416314, -0.613243, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.233040, 20.475514, 24.865286, 27.305399, 94.397628], [38.918635, 40.323804, 50.291874, 55.224408, 144.778950], [33.609175, 34.116840, 42.954721, 47.416768, 145.568334], [11.156003, 12.132682, 13.962800, 15.931996, 17.345382], [5.444855, 5.448106, 6.074852, 6.483827, 58.293123], [29.169815, 29.461383, 37.412488, 40.795793, 116.139198]]
### 4
mean: [-0.801554, -0.539764, 3.595871, 2.755230, -0.854871, -0.841096]
std: [2.394944, 0.997033, 4.866207, 3.725695, 1.318106, 2.094572]
pca: [[-0.337065, 0.598536, -0.191489, 0.659111, -0.194600, -0.138480, 0.000000, 0.000000, 0.000000, 0.000000], [-0.140293, 0.262616, 0.483364, 0.102854, 0.797309, 0.177284, 0.000000, 0.000000, 0.000000, 0.000000], [0.685555, -0.194783, -0.202711, 0.579868, 0.167398, 0.294471, 0.000000, 0.000000, 0.000000, 0.000000], [0.524781, 0.414725, 0.617383, -0.073609, -0.372164, -0.165896, 0.000000, 0.000000, 0.000000, 0.000000], [-0.185680, 0.108440, 0.119523, -0.066667, -0.334023, 0.907448, 0.000000, 0.000000, 0.000000, 0.000000], [-0.294699, -0.592529, 0.541435, 0.457037, -0.219841, -0.108153, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.807712, 40.071130, 49.128317, 55.677970, 72.139870], [16.117110, 16.668556, 20.615207, 23.178321, 48.578800], [79.934070, 80.621249, 100.405432, 112.902817, 323.628404], [61.188298, 61.717904, 76.704267, 86.181165, 247.970693], [21.598042, 21.912331, 27.187935, 30.581625, 76.938417], [34.145237, 35.006384, 43.400615, 48.084623, 75.698655]]
### 6
mean: [-0.855618, 2.939958, -0.246049, 4.607316, 3.491259, 3.117371]
std: [2.788373, 4.954516, 2.315448, 7.179913, 5.662021, 5.341571]
pca: [[-0.225997, 0.738594, -0.569266, -0.230240, -0.150693, -0.060184, 0.000000, 0.000000, 0.000000, 0.000000], [0.405096, 0.073659, -0.267652, 0.165123, 0.705459, -0.483628, 0.000000, 0.000000, 0.000000, 0.000000], [-0.188028, 0.539110, 0.696194, -0.102637, 0.410190, 0.102616, 0.000000, 0.000000, 0.000000, 0.000000], [0.587017, 0.190334, 0.311635, -0.308018, -0.474659, -0.449323, 0.000000, 0.000000, 0.000000, 0.000000], [0.462747, 0.342010, -0.015335, 0.666353, -0.156534, 0.447359, 0.000000, 0.000000, 0.000000, 0.000000], [0.436743, -0.072226, -0.149202, -0.608513, 0.248112, 0.591549, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[46.949547, 47.722682, 59.117396, 64.401381, 77.005598], [82.625865, 83.209641, 105.931177, 112.299725, 264.596241], [35.341496, 39.371624, 39.466876, 49.363748, 53.535338], [120.014090, 120.295400, 152.597982, 163.070992, 414.658452], [94.090723, 94.641346, 119.077979, 129.580662, 314.213332], [89.540962, 89.904852, 115.199179, 120.226531, 280.563404]]
### 8
mean: [-10.192837]
std: [15.386053]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[254.455178, 259.782363, 320.846832, 351.375957, 917.355411]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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119.07797922109663, 129.58066245146065, 314.21333196759224]}, "5": {"mean": 3.117370843887329, "std": 5.341570854187012, "pca": [0.4367431402206421, -0.07222627848386765, -0.14920157194137573, -0.6085125803947449, 0.24811170995235443, 0.5915493965148926, 0.0, 0.0, 0.0, 0.0], "fourier": [89.54096158416387, 89.90485220889762, 115.19917896509583, 120.22653084173189, 280.56340354681015]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -10.19283676147461, "std": 15.386053085327148, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [254.45517763197287, 259.78236318022454, 320.8468321654132, 351.37595732669485, 917.3554109334946]}}, "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": [[0.446209, -0.044608, -0.040927, -0.110525, 1.044291], [0.227815, -0.555223, 0.015726, -0.038091, -0.041043], [0.038993, -0.412735, 0.107626, 0.013961, -0.035508], [0.341607, 0.180269, -0.507776, -0.356226, -0.691586], [-0.715823, -0.204554, -0.786492, -0.456792, -0.214301], [0.063347, -0.177225, -0.191036, -0.287989, 0.124726]], "network.0.bias": [0.095032, -0.004028, 0.198572, -0.069027, 0.165075, 0.024322], "network.2.weight": [[0.552001, -0.657627, -0.718385, 0.770976, -0.4585, -0.728688], [1.109107, -0.087913, -0.402164, 0.280513, -0.103914, -0.707469], [0.946181, -0.147305, -0.733012, 0.414615, 0.140465, -0.734527], [-0.331796, 0.298081, 0.502386, 0.198619, -0.05051, 0.521018], [-0.132506, 0.286573, 0.579197, -0.230034, -0.385117, 0.93695], [0.823618, -0.277995, -0.333011, 0.405793, -0.148356, -0.756626]], "network.2.bias": [0.097912, -0.205648, 0.067931, 0.367969, -0.371081, -0.084799], "network.4.weight": [[0.091187, -0.579713, -0.205515, 0.346649, -0.496464, -0.386625], [0.014516, -0.402506, 0.075349, 0.311149, -0.119071, -0.105253], [0.320403, 0.777411, 0.715858, -0.861736, -0.612741, 0.611104], [0.618885, 0.387233, 0.560214, -0.696115, -0.188231, 0.473359], [-0.078343, -0.293583, -0.179187, 0.252767, 0.042567, -0.07677], [-0.566914, -0.299864, -0.207705, 0.854659, -0.504372, -0.097814]], "network.4.bias": [0.803061, 0.092632, 0.022369, 0.006846, 0.085793, 0.555251], "network.6.weight": [[0.952151, 0.244534, 0.092731, -0.706956, -0.118833, 0.978821], [-0.096149, -0.689484, 0.701454, 0.351943, -0.769557, -0.605923], [0.943245, 0.143891, -0.371951, -0.009536, 0.162733, 0.475764], [-0.43536, -0.258645, 0.705829, 0.911623, -0.307471, -0.89475], [0.202917, -0.302745, 0.78634, 0.451394, -0.375286, -0.916531], [-0.65269, -0.48464, 0.585056, 0.572846, -0.605463, -0.459776]], "network.6.bias": [0.094097, -0.361496, 0.604741, -0.053896, -0.434478, -0.195207], "network.8.weight": [[0.274646, -0.57727, 0.61526, -0.763378, -0.460477, -0.91596]], "network.8.bias": [0.053663]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6885309815406799, "train_acc": 0.58, "val_loss": 0.7092312574386597, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.678585022687912, "train_acc": 0.58, "val_loss": 0.7005249857902527, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6721464693546295, "train_acc": 0.58, "val_loss": 0.6784766912460327, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6490520238876343, "train_acc": 0.58, "val_loss": 0.598734438419342, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5666272342205048, "train_acc": 0.585, "val_loss": 0.4374105930328369, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.4192311316728592, "train_acc": 0.84, "val_loss": 0.3878589868545532, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.3368274122476578, "train_acc": 0.85, "val_loss": 0.31407833099365234, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.2688986584544182, "train_acc": 0.9, "val_loss": 0.5925791263580322, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3488415330648422, "train_acc": 0.865, "val_loss": 0.3593928813934326, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.359751433134079, "train_acc": 0.85, "val_loss": 0.33806490898132324, "val_acc": 0.86}], "summary": {"total_epochs": 10, "degraded_epochs": 4, "improved_epochs": 6, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.7092312574386597, "final_val_loss": 0.598734438419342, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.4374105930328369, "final_val_loss": 0.33806490898132324, "initial_val_acc": 0.82, "final_val_acc": 0.86, "best_val_acc": 0.88, "best_epoch": 6}, "improvement": 0.38, "first_improvement_epoch": 3}}
|
9,762
|
{"target_pattern": "contains_abc", "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": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6859, "learning_rate": 0.060233238253798047, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.016482,
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-0.214747,
-0.614834,
0.487887
],
[
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0.035775,
0.355203,
-0.1486
],
[
-0.577646,
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0.360789,
-0.301764,
0.045773
],
[
1.139746,
-0.326936,
0.707152,
-0.035255,
0.082935
],
[
-0.199476,
0.802301,
-0.791434,
0.081075,
0.129685
],
[
-0.838654,
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0.246043,
-0.158452,
0.220659
]
],
"network.0.bias": [
0.470901,
-0.573733,
-0.123417,
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-0.028351,
-0.134947
],
"network.2.weight": [
[
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1.026997,
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],
[
-0.34658,
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-0.075523
],
[
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-1.180472,
0.161723
],
[
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0.84176,
0.425932,
0.856429,
0.379669
],
[
-0.259044,
0.428461,
1.210738,
0.657702,
0.925598,
0.56452
],
[
0.379738,
0.091551,
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-0.402194,
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0.726729
]
],
"network.2.bias": [
0.187156,
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0.697752,
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0.820928
],
"network.4.weight": [
[
-0.0615,
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0.21705
],
[
0.731266,
0.010621,
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0.446864,
0.693854,
-0.180333
],
[
0.779917,
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0.236762,
0.669377,
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],
[
0.257081,
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0.639333,
0.809104,
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],
[
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0.925414
],
[
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]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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],
[
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],
[
0.937639,
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],
[
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],
[
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],
[
0.366374,
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]
],
"network.6.bias": [
0.060443,
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0.139195
],
"network.8.weight": [
[
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]
],
"network.8.bias": [
0.961249
]
}
## Activation Signature
### 0
mean: [-2.530792, 3.022295, -2.171025, 1.650669, -0.134029, -1.477282]
std: [2.781998, 3.192961, 2.294975, 2.932482, 1.944304, 2.012554]
pca: [[-0.501239, -0.042804, 0.739488, 0.205999, -0.327353, -0.224699, 0.000000, 0.000000, 0.000000, 0.000000], [0.582143, -0.157656, 0.044158, 0.625548, -0.472888, 0.139180, 0.000000, 0.000000, 0.000000, 0.000000], [-0.385538, 0.316781, -0.189644, -0.016665, -0.400905, 0.744341, 0.000000, 0.000000, 0.000000, 0.000000], [0.361267, 0.700525, 0.484878, 0.011944, 0.328028, 0.189470, 0.000000, 0.000000, 0.000000, 0.000000], [0.056392, -0.613943, 0.367287, -0.081286, 0.372412, 0.582835, 0.000000, 0.000000, 0.000000, 0.000000], [-0.357120, 0.072807, -0.212691, 0.747815, 0.512054, 0.022388, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.081754, 45.701187, 51.825413, 53.072776, 227.771342], [49.807688, 50.307060, 60.295102, 63.938945, 272.006501], [35.418743, 42.946787, 45.514967, 45.686396, 195.392264], [51.521314, 55.923153, 56.061689, 62.585821, 148.560231], [32.272313, 36.716362, 37.250233, 37.762851, 39.316880], [31.607852, 31.821306, 33.619138, 35.341635, 132.955345]]
### 2
mean: [3.853122, 1.014329, -0.341969, 2.363921, 2.790802, -0.027861]
std: [3.754170, 1.564789, 1.328461, 2.457423, 3.036480, 1.032871]
pca: [[0.652040, -0.447111, 0.089385, -0.259599, -0.032337, 0.546360, 0.000000, 0.000000, 0.000000, 0.000000], [0.214564, 0.808801, 0.354143, -0.179087, -0.286133, 0.245847, 0.000000, 0.000000, 0.000000, 0.000000], [-0.191048, -0.292148, 0.777103, -0.402951, -0.040359, -0.332059, 0.000000, 0.000000, 0.000000, 0.000000], [0.428268, 0.218053, 0.119070, 0.026463, 0.818166, -0.291145, 0.000000, 0.000000, 0.000000, 0.000000], [0.531809, -0.082606, 0.080197, 0.447092, -0.471399, -0.530862, 0.000000, 0.000000, 0.000000, 0.000000], [-0.161470, -0.078809, 0.492031, 0.733195, 0.154403, 0.405224, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[62.126255, 64.379573, 65.864732, 72.791594, 346.780970], [25.311637, 28.820085, 29.998913, 31.740716, 91.289592], [18.426504, 18.546712, 21.515884, 22.705962, 30.777220], [35.333393, 40.934598, 42.222898, 46.354998, 212.752911], [48.471719, 49.295199, 50.719083, 59.702309, 251.172201], [14.552642, 14.605468, 15.454080, 16.241185, 17.096569]]
### 4
mean: [-1.251147, 5.291276, 5.523937, 5.080489, -1.264667, -1.940393]
std: [2.498468, 6.053562, 6.033314, 5.757199, 2.664256, 2.853590]
pca: [[-0.221445, 0.040177, 0.252833, 0.158647, 0.898481, -0.230188, 0.000000, 0.000000, 0.000000, 0.000000], [0.536348, -0.319097, 0.553348, -0.391911, -0.039010, -0.386262, 0.000000, 0.000000, 0.000000, 0.000000], [0.534993, -0.134331, 0.205239, 0.622060, 0.100061, 0.506600, 0.000000, 0.000000, 0.000000, 0.000000], [0.508316, 0.807785, -0.195037, -0.060627, 0.106048, -0.190096, 0.000000, 0.000000, 0.000000, 0.000000], [-0.234568, 0.399691, 0.592373, -0.353325, -0.037796, 0.555025, 0.000000, 0.000000, 0.000000, 0.000000], [-0.252326, 0.257388, 0.445885, 0.552960, -0.410516, -0.443826, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.474276, 39.536947, 40.939278, 48.643234, 112.603238], [97.960076, 98.296588, 98.852222, 116.240586, 476.214859], [96.715623, 96.731677, 98.797261, 115.969654, 497.154366], [84.329511, 92.919880, 97.216312, 108.209956, 457.243973], [42.479378, 45.233787, 45.860070, 53.345631, 113.819992], [44.772972, 47.135990, 47.264302, 56.390039, 174.635327]]
### 6
mean: [8.140783, 8.653575, -3.132458, 5.989876, 6.800521, -3.390268]
std: [9.559689, 10.507639, 5.743914, 7.921626, 8.178537, 4.546845]
pca: [[0.487541, 0.147967, 0.009072, 0.610223, -0.485388, 0.363803, 0.000000, 0.000000, 0.000000, 0.000000], [0.535880, 0.169905, -0.144876, 0.212337, 0.779741, -0.099463, 0.000000, 0.000000, 0.000000, 0.000000], [-0.290624, 0.920393, -0.146012, 0.069337, -0.071429, -0.192836, 0.000000, 0.000000, 0.000000, 0.000000], [0.403922, 0.082402, -0.632100, -0.598549, -0.232883, 0.134203, 0.000000, 0.000000, 0.000000, 0.000000], [0.416877, 0.261566, 0.740617, -0.443024, -0.093569, -0.065257, 0.000000, 0.000000, 0.000000, 0.000000], [-0.231808, 0.164038, 0.097701, -0.152320, 0.297170, 0.893476, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[149.927885, 153.636999, 157.556449, 180.531951, 732.670490], [165.660558, 168.683455, 173.155469, 198.498322, 778.821735], [90.988123, 91.809452, 106.642311, 108.927289, 281.921241], [125.989517, 127.380901, 131.325828, 149.822532, 539.088811], [125.725111, 132.181534, 132.761288, 153.433970, 612.046902], [72.302803, 72.761048, 77.944242, 86.257857, 305.124113]]
### 8
mean: [-12.952396]
std: [16.001949]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[250.880390, 252.664721, 257.835947, 297.947992, 1165.715859]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.016482,
-0.313576,
-0.214747,
-0.614834,
0.487887
],
[
0.86688,
1.022967,
0.035775,
0.355203,
-0.1486
],
[
-0.577646,
-0.818641,
0.360789,
-0.301764,
0.045773
],
[
1.139746,
-0.326936,
0.707152,
-0.035255,
0.082935
],
[
-0.199476,
0.802301,
-0.791434,
0.081075,
0.129685
],
[
-0.838654,
-0.408835,
0.246043,
-0.158452,
0.220659
]
],
"network.0.bias": [
0.470901,
-0.573733,
-0.123417,
-0.675776,
-0.028351,
-0.134947
],
"network.2.weight": [
[
-0.415446,
0.43457,
0.885039,
0.967603,
1.026997,
0.553112
],
[
-0.34658,
0.448867,
0.862416,
-0.145874,
0.493352,
-0.075523
],
[
0.318564,
0.11548,
-0.657442,
-0.429148,
-1.180472,
0.161723
],
[
-0.197721,
0.411345,
0.84176,
0.425932,
0.856429,
0.379669
],
[
-0.259044,
0.428461,
1.210738,
0.657702,
0.925598,
0.56452
],
[
0.379738,
0.091551,
-0.263934,
-0.402194,
-0.815177,
0.726729
]
],
"network.2.bias": [
0.187156,
-0.305377,
0.697752,
-0.131103,
-0.236743,
0.820928
],
"network.4.weight": [
[
-0.0615,
-0.015536,
0.454924,
-0.177287,
-0.543139,
0.21705
],
[
0.731266,
0.010621,
-0.332221,
0.446864,
0.693854,
-0.180333
],
[
0.779917,
0.259325,
-0.540311,
0.236762,
0.669377,
-0.30422
],
[
0.257081,
0.562859,
-0.236491,
0.639333,
0.809104,
-0.282613
],
[
-0.218525,
0.099432,
0.401342,
-0.0744,
-0.452405,
0.925414
],
[
-0.09582,
0.221987,
0.069737,
-0.521145,
-0.387488,
0.936492
]
],
"network.4.bias": [
0.780705,
-0.404387,
0.029293,
-0.153652,
0.561388,
0.233489
],
"network.6.weight": [
[
-0.302601,
0.482722,
0.591345,
0.492481,
-0.68417,
-0.141753
],
[
-0.690154,
0.565397,
0.671483,
0.483139,
-0.372692,
-0.293628
],
[
0.937639,
-0.337815,
0.088597,
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0.813479,
0.86118
],
[
-0.894297,
0.86681,
0.152027,
0.257994,
-0.228482,
-0.142743
],
[
-0.523958,
0.19543,
0.52434,
0.650019,
-0.301348,
0.193951
],
[
0.366374,
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-0.237025,
-0.243409,
0.428022,
0.183988
]
],
"network.6.bias": [
0.060443,
-0.246584,
0.348655,
-0.480317,
-0.328641,
0.139195
],
"network.8.weight": [
[
-0.479848,
-0.529316,
0.403124,
-0.21677,
-0.552123,
0.186438
]
],
"network.8.bias": [
0.961249
]
}
## Activation Signature
### 0
mean: [-2.530792, 3.022295, -2.171025, 1.650669, -0.134029, -1.477282]
std: [2.781998, 3.192961, 2.294975, 2.932482, 1.944304, 2.012554]
pca: [[-0.501239, -0.042804, 0.739488, 0.205999, -0.327353, -0.224699, 0.000000, 0.000000, 0.000000, 0.000000], [0.582143, -0.157656, 0.044158, 0.625548, -0.472888, 0.139180, 0.000000, 0.000000, 0.000000, 0.000000], [-0.385538, 0.316781, -0.189644, -0.016665, -0.400905, 0.744341, 0.000000, 0.000000, 0.000000, 0.000000], [0.361267, 0.700525, 0.484878, 0.011944, 0.328028, 0.189470, 0.000000, 0.000000, 0.000000, 0.000000], [0.056392, -0.613943, 0.367287, -0.081286, 0.372412, 0.582835, 0.000000, 0.000000, 0.000000, 0.000000], [-0.357120, 0.072807, -0.212691, 0.747815, 0.512054, 0.022388, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.081754, 45.701187, 51.825413, 53.072776, 227.771342], [49.807688, 50.307060, 60.295102, 63.938945, 272.006501], [35.418743, 42.946787, 45.514967, 45.686396, 195.392264], [51.521314, 55.923153, 56.061689, 62.585821, 148.560231], [32.272313, 36.716362, 37.250233, 37.762851, 39.316880], [31.607852, 31.821306, 33.619138, 35.341635, 132.955345]]
### 2
mean: [3.853122, 1.014329, -0.341969, 2.363921, 2.790802, -0.027861]
std: [3.754170, 1.564789, 1.328461, 2.457423, 3.036480, 1.032871]
pca: [[0.652040, -0.447111, 0.089385, -0.259599, -0.032337, 0.546360, 0.000000, 0.000000, 0.000000, 0.000000], [0.214564, 0.808801, 0.354143, -0.179087, -0.286133, 0.245847, 0.000000, 0.000000, 0.000000, 0.000000], [-0.191048, -0.292148, 0.777103, -0.402951, -0.040359, -0.332059, 0.000000, 0.000000, 0.000000, 0.000000], [0.428268, 0.218053, 0.119070, 0.026463, 0.818166, -0.291145, 0.000000, 0.000000, 0.000000, 0.000000], [0.531809, -0.082606, 0.080197, 0.447092, -0.471399, -0.530862, 0.000000, 0.000000, 0.000000, 0.000000], [-0.161470, -0.078809, 0.492031, 0.733195, 0.154403, 0.405224, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[62.126255, 64.379573, 65.864732, 72.791594, 346.780970], [25.311637, 28.820085, 29.998913, 31.740716, 91.289592], [18.426504, 18.546712, 21.515884, 22.705962, 30.777220], [35.333393, 40.934598, 42.222898, 46.354998, 212.752911], [48.471719, 49.295199, 50.719083, 59.702309, 251.172201], [14.552642, 14.605468, 15.454080, 16.241185, 17.096569]]
### 4
mean: [-1.251147, 5.291276, 5.523937, 5.080489, -1.264667, -1.940393]
std: [2.498468, 6.053562, 6.033314, 5.757199, 2.664256, 2.853590]
pca: [[-0.221445, 0.040177, 0.252833, 0.158647, 0.898481, -0.230188, 0.000000, 0.000000, 0.000000, 0.000000], [0.536348, -0.319097, 0.553348, -0.391911, -0.039010, -0.386262, 0.000000, 0.000000, 0.000000, 0.000000], [0.534993, -0.134331, 0.205239, 0.622060, 0.100061, 0.506600, 0.000000, 0.000000, 0.000000, 0.000000], [0.508316, 0.807785, -0.195037, -0.060627, 0.106048, -0.190096, 0.000000, 0.000000, 0.000000, 0.000000], [-0.234568, 0.399691, 0.592373, -0.353325, -0.037796, 0.555025, 0.000000, 0.000000, 0.000000, 0.000000], [-0.252326, 0.257388, 0.445885, 0.552960, -0.410516, -0.443826, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.474276, 39.536947, 40.939278, 48.643234, 112.603238], [97.960076, 98.296588, 98.852222, 116.240586, 476.214859], [96.715623, 96.731677, 98.797261, 115.969654, 497.154366], [84.329511, 92.919880, 97.216312, 108.209956, 457.243973], [42.479378, 45.233787, 45.860070, 53.345631, 113.819992], [44.772972, 47.135990, 47.264302, 56.390039, 174.635327]]
### 6
mean: [8.140783, 8.653575, -3.132458, 5.989876, 6.800521, -3.390268]
std: [9.559689, 10.507639, 5.743914, 7.921626, 8.178537, 4.546845]
pca: [[0.487541, 0.147967, 0.009072, 0.610223, -0.485388, 0.363803, 0.000000, 0.000000, 0.000000, 0.000000], [0.535880, 0.169905, -0.144876, 0.212337, 0.779741, -0.099463, 0.000000, 0.000000, 0.000000, 0.000000], [-0.290624, 0.920393, -0.146012, 0.069337, -0.071429, -0.192836, 0.000000, 0.000000, 0.000000, 0.000000], [0.403922, 0.082402, -0.632100, -0.598549, -0.232883, 0.134203, 0.000000, 0.000000, 0.000000, 0.000000], [0.416877, 0.261566, 0.740617, -0.443024, -0.093569, -0.065257, 0.000000, 0.000000, 0.000000, 0.000000], [-0.231808, 0.164038, 0.097701, -0.152320, 0.297170, 0.893476, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[149.927885, 153.636999, 157.556449, 180.531951, 732.670490], [165.660558, 168.683455, 173.155469, 198.498322, 778.821735], [90.988123, 91.809452, 106.642311, 108.927289, 281.921241], [125.989517, 127.380901, 131.325828, 149.822532, 539.088811], [125.725111, 132.181534, 132.761288, 153.433970, 612.046902], [72.302803, 72.761048, 77.944242, 86.257857, 305.124113]]
### 8
mean: [-12.952396]
std: [16.001949]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[250.880390, 252.664721, 257.835947, 297.947992, 1165.715859]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.530792474746704, "std": 2.7819981575012207, "pca": [-0.5012388825416565, -0.042803872376680374, 0.7394875884056091, 0.20599907636642456, -0.32735323905944824, -0.22469928860664368, 0.0, 0.0, 0.0, 0.0], "fourier": [42.08175419511449, 45.70118689042093, 51.82541348887204, 53.07277561804859, 227.7713423371315]}, "1": {"mean": 3.022294521331787, "std": 3.1929609775543213, "pca": [0.582143247127533, -0.157655730843544, 0.04415825009346008, 0.6255475878715515, -0.47288811206817627, 0.13917981088161469, 0.0, 0.0, 0.0, 0.0], "fourier": [49.807687915449044, 50.30706005062217, 60.2951023090651, 63.93894492808965, 272.00650107860565]}, "2": {"mean": -2.171025037765503, "std": 2.2949745655059814, "pca": [-0.3855384588241577, 0.3167811632156372, -0.1896435022354126, -0.01666528731584549, -0.40090468525886536, 0.7443405389785767, 0.0, 0.0, 0.0, 0.0], "fourier": [35.41874317123664, 42.946786900093436, 45.514967077044346, 45.68639561302353, 195.39226365089417]}, "3": {"mean": 1.6506692171096802, "std": 2.9324824810028076, "pca": [0.36126744747161865, 0.7005250453948975, 0.48487767577171326, 0.011943579651415348, 0.32802823185920715, 0.18947017192840576, 0.0, 0.0, 0.0, 0.0], "fourier": [51.52131442250458, 55.92315317361118, 56.06168906586011, 62.585820543780294, 148.5602312386036]}, "4": {"mean": -0.13402915000915527, "std": 1.9443042278289795, "pca": [0.05639199912548065, -0.6139429807662964, 0.36728718876838684, -0.08128613233566284, 0.37241172790527344, 0.5828346014022827, 0.0, 0.0, 0.0, 0.0], "fourier": [32.27231282644768, 36.71636183262656, 37.25023298565075, 37.76285146876384, 39.31687981070261]}, "5": {"mean": -1.4772815704345703, "std": 2.0125539302825928, "pca": [-0.3571200370788574, 0.07280699908733368, -0.2126905620098114, 0.7478146553039551, 0.5120538473129272, 0.022388335317373276, 0.0, 0.0, 0.0, 0.0], "fourier": [31.607852354606603, 31.821306147339882, 33.619138341847325, 35.341634632567775, 132.95534521341324]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": 3.853121519088745, "std": 3.7541697025299072, "pca": [0.6520395874977112, -0.4471108913421631, 0.08938514441251755, -0.25959935784339905, -0.032336678355932236, 0.5463598370552063, 0.0, 0.0, 0.0, 0.0], "fourier": [62.12625456661212, 64.37957334695635, 65.86473155303173, 72.79159440070408, 346.7809699252248]}, "1": {"mean": 1.0143288373947144, "std": 1.5647892951965332, "pca": [0.2145640105009079, 0.8088014125823975, 0.3541432321071625, -0.17908743023872375, -0.2861328125, 0.24584713578224182, 0.0, 0.0, 0.0, 0.0], "fourier": [25.311636721025355, 28.820084863107187, 29.99891344683322, 31.740715587627925, 91.28959175944328]}, "2": {"mean": -0.3419691026210785, "std": 1.3284611701965332, "pca": [-0.19104836881160736, -0.29214754700660706, 0.7771032452583313, -0.40295058488845825, -0.04035850614309311, 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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": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-1.016482, -0.313576, -0.214747, -0.614834, 0.487887], [0.86688, 1.022967, 0.035775, 0.355203, -0.1486], [-0.577646, -0.818641, 0.360789, -0.301764, 0.045773], [1.139746, -0.326936, 0.707152, -0.035255, 0.082935], [-0.199476, 0.802301, -0.791434, 0.081075, 0.129685], [-0.838654, -0.408835, 0.246043, -0.158452, 0.220659]], "network.0.bias": [0.470901, -0.573733, -0.123417, -0.675776, -0.028351, -0.134947], "network.2.weight": [[-0.415446, 0.43457, 0.885039, 0.967603, 1.026997, 0.553112], [-0.34658, 0.448867, 0.862416, -0.145874, 0.493352, -0.075523], [0.318564, 0.11548, -0.657442, -0.429148, -1.180472, 0.161723], [-0.197721, 0.411345, 0.84176, 0.425932, 0.856429, 0.379669], [-0.259044, 0.428461, 1.210738, 0.657702, 0.925598, 0.56452], [0.379738, 0.091551, -0.263934, -0.402194, -0.815177, 0.726729]], "network.2.bias": [0.187156, -0.305377, 0.697752, -0.131103, -0.236743, 0.820928], "network.4.weight": [[-0.0615, -0.015536, 0.454924, -0.177287, -0.543139, 0.21705], [0.731266, 0.010621, -0.332221, 0.446864, 0.693854, -0.180333], [0.779917, 0.259325, -0.540311, 0.236762, 0.669377, -0.30422], [0.257081, 0.562859, -0.236491, 0.639333, 0.809104, -0.282613], [-0.218525, 0.099432, 0.401342, -0.0744, -0.452405, 0.925414], [-0.09582, 0.221987, 0.069737, -0.521145, -0.387488, 0.936492]], "network.4.bias": [0.780705, -0.404387, 0.029293, -0.153652, 0.561388, 0.233489], "network.6.weight": [[-0.302601, 0.482722, 0.591345, 0.492481, -0.68417, -0.141753], [-0.690154, 0.565397, 0.671483, 0.483139, -0.372692, -0.293628], [0.937639, -0.337815, 0.088597, -0.583395, 0.813479, 0.86118], [-0.894297, 0.86681, 0.152027, 0.257994, -0.228482, -0.142743], [-0.523958, 0.19543, 0.52434, 0.650019, -0.301348, 0.193951], [0.366374, -0.236916, -0.237025, -0.243409, 0.428022, 0.183988]], "network.6.bias": [0.060443, -0.246584, 0.348655, -0.480317, -0.328641, 0.139195], "network.8.weight": [[-0.479848, -0.529316, 0.403124, -0.21677, -0.552123, 0.186438]], "network.8.bias": [0.961249]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7108048796653748, "train_acc": 0.445, "val_loss": 0.6556870937347412, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6447813808917999, "train_acc": 0.555, "val_loss": 0.5875511765480042, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6400034427642822, "train_acc": 0.555, "val_loss": 0.5696861147880554, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5683360993862152, "train_acc": 0.76, "val_loss": 0.39075538516044617, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4658646285533905, "train_acc": 0.785, "val_loss": 0.3212479054927826, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.38226112723350525, "train_acc": 0.815, "val_loss": 0.28404873609542847, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3348710685968399, "train_acc": 0.87, "val_loss": 0.24602490663528442, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.25905920565128326, "train_acc": 0.9, "val_loss": 0.18921531736850739, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.20198586583137512, "train_acc": 0.96, "val_loss": 0.13746118545532227, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.18885213136672974, "train_acc": 0.925, "val_loss": 0.148217111825943, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.22789862006902695, "train_acc": 0.935, "val_loss": 0.08044174313545227, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.12822726741433144, "train_acc": 0.96, "val_loss": 0.1112983226776123, "val_acc": 0.96}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6556870937347412, "final_val_loss": 0.5875511765480042, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.5696861147880554, "final_val_loss": 0.1112983226776123, "initial_val_acc": 0.82, "final_val_acc": 0.96, "best_val_acc": 0.98, "best_epoch": 10}, "improvement": 0.41999999999999993, "first_improvement_epoch": 1}}
|
9,763
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.72, "improved_accuracy": 0.92, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4639, "learning_rate": 0.065861338570623, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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],
[
-0.324398,
-0.051509,
-0.071691,
0.467749,
0.158688,
-0.129358,
0.280589
],
[
-0.173721,
0.487048,
-0.498847,
0.362203,
0.286628,
0.555071,
0.617762
],
[
-0.040245,
0.039521,
0.160795,
0.495992,
-0.007813,
0.283097,
0.445946
]
],
"network.10.bias": [
0.250257,
0.509719,
-0.096223,
-0.407598,
-0.301783,
0.065747,
-0.299906
],
"network.12.weight": [
[
0.277043,
0.165817,
-0.1809,
-0.101116,
-0.059171,
-0.573005,
-0.149291
]
],
"network.12.bias": [
0.543675
]
}
## Activation Signature
### 0
mean: [-3.186218, -0.091869, -0.789426, 2.091169, 1.951233, 1.235784, 0.732185]
std: [2.385404, 1.698885, 2.016593, 2.193904, 2.306537, 2.744493, 1.550208]
pca: [[-0.282178, 0.592508, 0.697325, -0.082201, 0.024043, 0.188372, 0.200568, 0.000000, 0.000000, 0.000000], [0.148084, 0.489579, -0.368929, 0.218475, -0.446952, -0.328806, 0.496653, 0.000000, 0.000000, 0.000000], [-0.411777, 0.068895, -0.461017, 0.218375, 0.348974, 0.585335, 0.317912, 0.000000, 0.000000, 0.000000], [0.415026, -0.339940, 0.164552, -0.381508, 0.125052, 0.144093, 0.709343, 0.000000, 0.000000, 0.000000], [0.465761, -0.094122, 0.274244, 0.750743, -0.101804, 0.352213, -0.031059, 0.000000, 0.000000, 0.000000], [0.510149, 0.476663, -0.154576, -0.070893, 0.667170, -0.097925, -0.170045, 0.000000, 0.000000, 0.000000], [0.281876, 0.229946, -0.197258, -0.428525, -0.454703, 0.599483, -0.281055, 0.000000, 0.000000, 0.000000]]
fourier: [[34.990016, 36.541056, 46.642722, 48.110802, 286.759633], [28.559538, 30.303063, 31.092713, 31.454414, 32.714269], [32.026051, 32.481593, 35.442992, 36.841980, 71.048304], [32.950276, 36.825673, 37.376095, 40.740013, 188.205223], [36.780693, 39.625274, 40.755017, 42.229798, 175.610949], [45.752571, 46.628799, 56.158060, 57.965840, 111.220567], [27.828315, 29.986473, 30.479811, 35.951477, 65.896632]]
### 2
mean: [-1.801829, -1.515433, 2.770562, 0.671223, 1.365338, 3.289965, 1.484599]
std: [2.873627, 2.636730, 3.695407, 2.400952, 2.219827, 4.181152, 2.012066]
pca: [[-0.374435, -0.079098, 0.344486, 0.246493, 0.801295, 0.159128, 0.081958, 0.000000, 0.000000, 0.000000], [-0.343922, 0.091028, 0.181942, 0.196024, -0.330582, -0.211448, 0.804928, 0.000000, 0.000000, 0.000000], [0.482300, -0.011180, -0.446829, 0.230620, 0.416410, -0.506848, 0.290047, 0.000000, 0.000000, 0.000000], [0.258737, 0.889763, 0.346115, -0.094135, 0.100301, -0.048692, -0.016977, 0.000000, 0.000000, 0.000000], [0.288548, 0.084472, -0.105669, 0.718362, -0.156316, 0.595766, 0.054981, 0.000000, 0.000000, 0.000000], [0.542314, -0.320978, 0.346118, -0.424715, 0.092639, 0.341802, 0.421045, 0.000000, 0.000000, 0.000000], [0.254153, -0.288949, 0.630723, 0.377283, -0.179352, -0.446023, -0.284002, 0.000000, 0.000000, 0.000000]]
fourier: [[46.129097, 57.181264, 58.898334, 62.973770, 162.164633], [42.532927, 53.532638, 54.076252, 56.076497, 136.388926], [61.277071, 74.928163, 77.823531, 77.889744, 249.350600], [39.125166, 42.252048, 47.775774, 49.941274, 60.410048], [38.260947, 43.904028, 44.821941, 47.140211, 122.880440], [68.358841, 79.884180, 85.104763, 86.744418, 296.096874], [35.493891, 35.659432, 36.952570, 39.784187, 133.613939]]
### 4
mean: [5.345401, -2.154945, -3.923116, -2.385928, -1.360327, -1.209150, 4.514813]
std: [6.940265, 3.829250, 5.270373, 4.276482, 2.184696, 2.345778, 6.171060]
pca: [[0.555224, -0.069409, 0.127285, 0.388404, 0.621738, 0.299043, 0.209438, 0.000000, 0.000000, 0.000000], [-0.305908, -0.039668, 0.542766, 0.548856, -0.379837, 0.405869, -0.001829, 0.000000, 0.000000, 0.000000], [-0.418411, 0.681839, -0.260041, 0.404864, 0.295959, -0.171002, 0.107976, 0.000000, 0.000000, 0.000000], [-0.341481, -0.262244, 0.302114, -0.174900, 0.193472, -0.266000, 0.764571, 0.000000, 0.000000, 0.000000], [-0.174305, 0.029559, -0.462701, -0.245757, -0.071628, 0.757118, 0.340436, 0.000000, 0.000000, 0.000000], [-0.180641, -0.638405, -0.533744, 0.494667, -0.017566, -0.170285, -0.030386, 0.000000, 0.000000, 0.000000], [0.493413, 0.226930, -0.177012, 0.219781, -0.581983, -0.208856, 0.493036, 0.000000, 0.000000, 0.000000]]
fourier: [[111.153732, 135.346491, 141.185930, 148.006382, 481.086150], [60.919628, 76.244248, 78.092450, 81.292465, 193.945064], [87.207391, 105.035762, 105.217243, 109.704639, 353.080379], [67.532043, 82.732493, 87.558898, 90.977644, 214.733512], [35.425347, 41.625688, 44.835312, 46.513243, 122.429445], [37.553329, 41.751023, 49.084950, 50.854763, 108.823469], [98.516133, 119.687213, 126.341978, 130.926986, 406.333166]]
### 6
mean: [-2.154277, 3.947771, -1.119848, -1.657934, 6.870636, -1.550482, -1.549260]
std: [3.053354, 5.492063, 1.304376, 3.421854, 9.051310, 2.494512, 3.213637]
pca: [[-0.246405, -0.488017, 0.521507, -0.183417, -0.458072, -0.204822, 0.379119, 0.000000, 0.000000, 0.000000], [0.447244, 0.211842, -0.210928, 0.350476, -0.203979, -0.077037, 0.735004, 0.000000, 0.000000, 0.000000], [-0.102480, -0.401805, 0.202343, 0.350045, 0.743820, 0.160373, 0.292554, 0.000000, 0.000000, 0.000000], [-0.274902, 0.666344, 0.342610, -0.392520, 0.299608, -0.082749, 0.335185, 0.000000, 0.000000, 0.000000], [0.737477, 0.038546, 0.609815, -0.095699, 0.047599, 0.166920, -0.208519, 0.000000, 0.000000, 0.000000], [-0.203156, 0.088953, 0.052978, 0.043954, -0.261493, 0.929511, 0.117079, 0.000000, 0.000000, 0.000000], [-0.260843, 0.319535, 0.387988, 0.745540, -0.186775, -0.166414, -0.246809, 0.000000, 0.000000, 0.000000]]
fourier: [[49.643143, 56.157609, 63.169179, 64.760982, 193.884902], [88.431201, 105.987006, 112.078292, 117.138230, 355.299369], [21.992444, 22.251607, 26.440559, 27.568757, 100.786358], [54.383311, 66.825588, 70.568601, 70.654361, 149.214050], [145.389789, 176.716531, 183.312180, 193.408487, 618.357181], [40.350537, 49.492479, 50.415597, 52.767760, 139.543380], [51.495892, 63.984067, 65.050838, 67.687041, 139.433438]]
### 8
mean: [-5.546303, 3.046153, -3.234442, 2.688449, 4.677172, 6.102092, 3.880507]
std: [8.358933, 4.752543, 5.633830, 4.466345, 6.896996, 8.513561, 5.728285]
pca: [[-0.485123, 0.315297, 0.117469, -0.507122, 0.377247, 0.400656, 0.302376, 0.000000, 0.000000, 0.000000], [0.275480, 0.574851, 0.164071, 0.122877, -0.569777, 0.198064, 0.433317, 0.000000, 0.000000, 0.000000], [-0.326867, -0.343460, 0.762911, 0.298968, -0.184336, 0.254988, -0.069139, 0.000000, 0.000000, 0.000000], [0.259069, 0.379218, 0.109183, 0.556440, 0.607939, 0.253565, -0.183428, 0.000000, 0.000000, 0.000000], [0.400273, -0.258633, 0.357727, -0.106916, 0.358066, -0.354258, 0.616263, 0.000000, 0.000000, 0.000000], [0.494056, -0.409865, -0.133687, -0.226969, -0.030212, 0.719065, -0.023777, 0.000000, 0.000000, 0.000000], [0.332412, 0.271076, 0.468495, -0.515534, -0.018579, -0.168459, -0.549576, 0.000000, 0.000000, 0.000000]]
fourier: [[134.176919, 164.950049, 168.302447, 178.422932, 499.167316], [76.360198, 94.116984, 96.018732, 100.301273, 274.153797], [89.701755, 112.931070, 113.017986, 118.931710, 291.099777], [71.676853, 88.951612, 89.738450, 94.602836, 241.960458], [110.814177, 136.059677, 138.508575, 147.660200, 420.945458], [136.510489, 167.731991, 171.505071, 181.862857, 549.188265], [92.054359, 114.033331, 114.507596, 121.970006, 349.245604]]
### 10
mean: [-11.102158, -6.047292, 4.679108, 4.258024, 1.921080, 10.113804, 5.102762]
std: [15.573214, 8.547698, 6.066900, 6.014319, 3.366826, 13.747069, 6.856841]
pca: [[0.617664, 0.334173, -0.267557, -0.201238, -0.172876, 0.269362, 0.540642, 0.000000, 0.000000, 0.000000], [0.338953, -0.362663, 0.551655, -0.030313, 0.611927, 0.057477, 0.265679, 0.000000, 0.000000, 0.000000], [-0.240473, 0.423831, 0.656684, 0.161227, -0.347766, -0.193850, 0.383136, 0.000000, 0.000000, 0.000000], [-0.238469, 0.303081, -0.309730, -0.236154, 0.504154, -0.595287, 0.301720, 0.000000, 0.000000, 0.000000], [-0.133371, -0.320608, -0.309357, 0.745651, -0.006650, -0.008471, 0.477084, 0.000000, 0.000000, 0.000000], [-0.545222, -0.344109, -0.033223, -0.514795, -0.108623, 0.377788, 0.404575, 0.000000, 0.000000, 0.000000], [-0.271757, 0.513918, -0.010876, 0.236247, 0.456840, 0.624019, -0.089453, 0.000000, 0.000000, 0.000000]]
fourier: [[249.837139, 303.550792, 312.646919, 336.439681, 999.194200], [137.069954, 164.141402, 172.259460, 185.389173, 544.256249], [97.193247, 115.740909, 122.076016, 132.216297, 421.119773], [96.493973, 115.236445, 121.239202, 130.547755, 383.222201], [53.955147, 66.659179, 67.323233, 72.037051, 172.897185], [220.681395, 268.136880, 276.071145, 296.813197, 910.242307], [109.849863, 130.595353, 138.218847, 149.195616, 459.248626]]
### 12
mean: [-7.465964]
std: [10.749706]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[172.394520, 207.737939, 216.228883, 233.158527, 671.936796]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: 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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0.540613,
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],
[
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0.47275,
0.06079,
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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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0.517057
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],
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],
"network.6.bias": [
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],
"network.8.weight": [
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]
],
"network.8.bias": [
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"network.10.weight": [
[
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[
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[
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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: [-3.186218, -0.091869, -0.789426, 2.091169, 1.951233, 1.235784, 0.732185]
std: [2.385404, 1.698885, 2.016593, 2.193904, 2.306537, 2.744493, 1.550208]
pca: [[-0.282178, 0.592508, 0.697325, -0.082201, 0.024043, 0.188372, 0.200568, 0.000000, 0.000000, 0.000000], [0.148084, 0.489579, -0.368929, 0.218475, -0.446952, -0.328806, 0.496653, 0.000000, 0.000000, 0.000000], [-0.411777, 0.068895, -0.461017, 0.218375, 0.348974, 0.585335, 0.317912, 0.000000, 0.000000, 0.000000], [0.415026, -0.339940, 0.164552, -0.381508, 0.125052, 0.144093, 0.709343, 0.000000, 0.000000, 0.000000], [0.465761, -0.094122, 0.274244, 0.750743, -0.101804, 0.352213, -0.031059, 0.000000, 0.000000, 0.000000], [0.510149, 0.476663, -0.154576, -0.070893, 0.667170, -0.097925, -0.170045, 0.000000, 0.000000, 0.000000], [0.281876, 0.229946, -0.197258, -0.428525, -0.454703, 0.599483, -0.281055, 0.000000, 0.000000, 0.000000]]
fourier: [[34.990016, 36.541056, 46.642722, 48.110802, 286.759633], [28.559538, 30.303063, 31.092713, 31.454414, 32.714269], [32.026051, 32.481593, 35.442992, 36.841980, 71.048304], [32.950276, 36.825673, 37.376095, 40.740013, 188.205223], [36.780693, 39.625274, 40.755017, 42.229798, 175.610949], [45.752571, 46.628799, 56.158060, 57.965840, 111.220567], [27.828315, 29.986473, 30.479811, 35.951477, 65.896632]]
### 2
mean: [-1.801829, -1.515433, 2.770562, 0.671223, 1.365338, 3.289965, 1.484599]
std: [2.873627, 2.636730, 3.695407, 2.400952, 2.219827, 4.181152, 2.012066]
pca: [[-0.374435, -0.079098, 0.344486, 0.246493, 0.801295, 0.159128, 0.081958, 0.000000, 0.000000, 0.000000], [-0.343922, 0.091028, 0.181942, 0.196024, -0.330582, -0.211448, 0.804928, 0.000000, 0.000000, 0.000000], [0.482300, -0.011180, -0.446829, 0.230620, 0.416410, -0.506848, 0.290047, 0.000000, 0.000000, 0.000000], [0.258737, 0.889763, 0.346115, -0.094135, 0.100301, -0.048692, -0.016977, 0.000000, 0.000000, 0.000000], [0.288548, 0.084472, -0.105669, 0.718362, -0.156316, 0.595766, 0.054981, 0.000000, 0.000000, 0.000000], [0.542314, -0.320978, 0.346118, -0.424715, 0.092639, 0.341802, 0.421045, 0.000000, 0.000000, 0.000000], [0.254153, -0.288949, 0.630723, 0.377283, -0.179352, -0.446023, -0.284002, 0.000000, 0.000000, 0.000000]]
fourier: [[46.129097, 57.181264, 58.898334, 62.973770, 162.164633], [42.532927, 53.532638, 54.076252, 56.076497, 136.388926], [61.277071, 74.928163, 77.823531, 77.889744, 249.350600], [39.125166, 42.252048, 47.775774, 49.941274, 60.410048], [38.260947, 43.904028, 44.821941, 47.140211, 122.880440], [68.358841, 79.884180, 85.104763, 86.744418, 296.096874], [35.493891, 35.659432, 36.952570, 39.784187, 133.613939]]
### 4
mean: [5.345401, -2.154945, -3.923116, -2.385928, -1.360327, -1.209150, 4.514813]
std: [6.940265, 3.829250, 5.270373, 4.276482, 2.184696, 2.345778, 6.171060]
pca: [[0.555224, -0.069409, 0.127285, 0.388404, 0.621738, 0.299043, 0.209438, 0.000000, 0.000000, 0.000000], [-0.305908, -0.039668, 0.542766, 0.548856, -0.379837, 0.405869, -0.001829, 0.000000, 0.000000, 0.000000], [-0.418411, 0.681839, -0.260041, 0.404864, 0.295959, -0.171002, 0.107976, 0.000000, 0.000000, 0.000000], [-0.341481, -0.262244, 0.302114, -0.174900, 0.193472, -0.266000, 0.764571, 0.000000, 0.000000, 0.000000], [-0.174305, 0.029559, -0.462701, -0.245757, -0.071628, 0.757118, 0.340436, 0.000000, 0.000000, 0.000000], [-0.180641, -0.638405, -0.533744, 0.494667, -0.017566, -0.170285, -0.030386, 0.000000, 0.000000, 0.000000], [0.493413, 0.226930, -0.177012, 0.219781, -0.581983, -0.208856, 0.493036, 0.000000, 0.000000, 0.000000]]
fourier: [[111.153732, 135.346491, 141.185930, 148.006382, 481.086150], [60.919628, 76.244248, 78.092450, 81.292465, 193.945064], [87.207391, 105.035762, 105.217243, 109.704639, 353.080379], [67.532043, 82.732493, 87.558898, 90.977644, 214.733512], [35.425347, 41.625688, 44.835312, 46.513243, 122.429445], [37.553329, 41.751023, 49.084950, 50.854763, 108.823469], [98.516133, 119.687213, 126.341978, 130.926986, 406.333166]]
### 6
mean: [-2.154277, 3.947771, -1.119848, -1.657934, 6.870636, -1.550482, -1.549260]
std: [3.053354, 5.492063, 1.304376, 3.421854, 9.051310, 2.494512, 3.213637]
pca: [[-0.246405, -0.488017, 0.521507, -0.183417, -0.458072, -0.204822, 0.379119, 0.000000, 0.000000, 0.000000], [0.447244, 0.211842, -0.210928, 0.350476, -0.203979, -0.077037, 0.735004, 0.000000, 0.000000, 0.000000], [-0.102480, -0.401805, 0.202343, 0.350045, 0.743820, 0.160373, 0.292554, 0.000000, 0.000000, 0.000000], [-0.274902, 0.666344, 0.342610, -0.392520, 0.299608, -0.082749, 0.335185, 0.000000, 0.000000, 0.000000], [0.737477, 0.038546, 0.609815, -0.095699, 0.047599, 0.166920, -0.208519, 0.000000, 0.000000, 0.000000], [-0.203156, 0.088953, 0.052978, 0.043954, -0.261493, 0.929511, 0.117079, 0.000000, 0.000000, 0.000000], [-0.260843, 0.319535, 0.387988, 0.745540, -0.186775, -0.166414, -0.246809, 0.000000, 0.000000, 0.000000]]
fourier: [[49.643143, 56.157609, 63.169179, 64.760982, 193.884902], [88.431201, 105.987006, 112.078292, 117.138230, 355.299369], [21.992444, 22.251607, 26.440559, 27.568757, 100.786358], [54.383311, 66.825588, 70.568601, 70.654361, 149.214050], [145.389789, 176.716531, 183.312180, 193.408487, 618.357181], [40.350537, 49.492479, 50.415597, 52.767760, 139.543380], [51.495892, 63.984067, 65.050838, 67.687041, 139.433438]]
### 8
mean: [-5.546303, 3.046153, -3.234442, 2.688449, 4.677172, 6.102092, 3.880507]
std: [8.358933, 4.752543, 5.633830, 4.466345, 6.896996, 8.513561, 5.728285]
pca: [[-0.485123, 0.315297, 0.117469, -0.507122, 0.377247, 0.400656, 0.302376, 0.000000, 0.000000, 0.000000], [0.275480, 0.574851, 0.164071, 0.122877, -0.569777, 0.198064, 0.433317, 0.000000, 0.000000, 0.000000], [-0.326867, -0.343460, 0.762911, 0.298968, -0.184336, 0.254988, -0.069139, 0.000000, 0.000000, 0.000000], [0.259069, 0.379218, 0.109183, 0.556440, 0.607939, 0.253565, -0.183428, 0.000000, 0.000000, 0.000000], [0.400273, -0.258633, 0.357727, -0.106916, 0.358066, -0.354258, 0.616263, 0.000000, 0.000000, 0.000000], [0.494056, -0.409865, -0.133687, -0.226969, -0.030212, 0.719065, -0.023777, 0.000000, 0.000000, 0.000000], [0.332412, 0.271076, 0.468495, -0.515534, -0.018579, -0.168459, -0.549576, 0.000000, 0.000000, 0.000000]]
fourier: [[134.176919, 164.950049, 168.302447, 178.422932, 499.167316], [76.360198, 94.116984, 96.018732, 100.301273, 274.153797], [89.701755, 112.931070, 113.017986, 118.931710, 291.099777], [71.676853, 88.951612, 89.738450, 94.602836, 241.960458], [110.814177, 136.059677, 138.508575, 147.660200, 420.945458], [136.510489, 167.731991, 171.505071, 181.862857, 549.188265], [92.054359, 114.033331, 114.507596, 121.970006, 349.245604]]
### 10
mean: [-11.102158, -6.047292, 4.679108, 4.258024, 1.921080, 10.113804, 5.102762]
std: [15.573214, 8.547698, 6.066900, 6.014319, 3.366826, 13.747069, 6.856841]
pca: [[0.617664, 0.334173, -0.267557, -0.201238, -0.172876, 0.269362, 0.540642, 0.000000, 0.000000, 0.000000], [0.338953, -0.362663, 0.551655, -0.030313, 0.611927, 0.057477, 0.265679, 0.000000, 0.000000, 0.000000], [-0.240473, 0.423831, 0.656684, 0.161227, -0.347766, -0.193850, 0.383136, 0.000000, 0.000000, 0.000000], [-0.238469, 0.303081, -0.309730, -0.236154, 0.504154, -0.595287, 0.301720, 0.000000, 0.000000, 0.000000], [-0.133371, -0.320608, -0.309357, 0.745651, -0.006650, -0.008471, 0.477084, 0.000000, 0.000000, 0.000000], [-0.545222, -0.344109, -0.033223, -0.514795, -0.108623, 0.377788, 0.404575, 0.000000, 0.000000, 0.000000], [-0.271757, 0.513918, -0.010876, 0.236247, 0.456840, 0.624019, -0.089453, 0.000000, 0.000000, 0.000000]]
fourier: [[249.837139, 303.550792, 312.646919, 336.439681, 999.194200], [137.069954, 164.141402, 172.259460, 185.389173, 544.256249], [97.193247, 115.740909, 122.076016, 132.216297, 421.119773], [96.493973, 115.236445, 121.239202, 130.547755, 383.222201], [53.955147, 66.659179, 67.323233, 72.037051, 172.897185], [220.681395, 268.136880, 276.071145, 296.813197, 910.242307], [109.849863, 130.595353, 138.218847, 149.195616, 459.248626]]
### 12
mean: [-7.465964]
std: [10.749706]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[172.394520, 207.737939, 216.228883, 233.158527, 671.936796]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 0.7274320423603058, "train_acc": 0.415, "val_loss": 0.7029385566711426, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.622948557138443, "train_acc": 0.585, "val_loss": 0.7324392795562744, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.5792524218559265, "train_acc": 0.585, "val_loss": 0.5398616790771484, "val_acc": 0.72}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5851689875125885, "train_acc": 0.685, "val_loss": 0.4055037796497345, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.46695564687252045, "train_acc": 0.8, "val_loss": 0.4795430302619934, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5224143862724304, "train_acc": 0.735, "val_loss": 0.4806319773197174, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.46954958140850067, "train_acc": 0.78, "val_loss": 0.38375189900398254, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3795095831155777, "train_acc": 0.83, "val_loss": 0.41068199276924133, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4116349518299103, "train_acc": 0.77, "val_loss": 0.2810835540294647, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2884298488497734, "train_acc": 0.885, "val_loss": 0.27346092462539673, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.25680068135261536, "train_acc": 0.895, "val_loss": 0.28790342807769775, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2247045338153839, "train_acc": 0.92, "val_loss": 0.2481151968240738, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.17995551228523254, "train_acc": 0.93, "val_loss": 0.2116406261920929, "val_acc": 0.92}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7029385566711426, "final_val_loss": 0.5398616790771484, "initial_val_acc": 0.42, "final_val_acc": 0.72, "best_val_acc": 0.72}, "improved_stage": {"initial_val_loss": 0.4055037796497345, "final_val_loss": 0.2116406261920929, "initial_val_acc": 0.86, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 8}, "improvement": 0.20000000000000007, "first_improvement_epoch": 2}}
|
9,764
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.68, "improved_accuracy": 0.88, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8253, "learning_rate": 0.033569624018086074, "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: 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.10.weight": [
[
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"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [2.658611, 0.294070, 2.215742, -1.918067, 3.992192, 1.663609, -0.453562, -0.088448]
std: [2.001842, 0.980796, 2.148916, 1.939012, 2.564331, 1.701575, 2.177205, 1.005626]
pca: [[0.391538, 0.243062, 0.214131, -0.186104, 0.640428, 0.496791, 0.099034, 0.200935, 0.000000, 0.000000], [0.021795, 0.163457, 0.831070, -0.324004, -0.265461, -0.255026, 0.198540, -0.047174, 0.000000, 0.000000], [0.431646, -0.012352, 0.042380, 0.057854, -0.571666, 0.577755, -0.217704, -0.316841, 0.000000, 0.000000], [-0.385715, 0.173478, -0.063250, -0.144220, -0.371752, 0.365667, 0.072762, 0.720502, 0.000000, 0.000000], [0.476775, 0.609111, -0.271567, -0.072761, -0.154455, -0.431389, -0.240907, 0.233748, 0.000000, 0.000000], [0.335054, -0.088074, 0.058739, 0.635636, -0.123192, -0.072600, 0.626924, 0.242935, 0.000000, 0.000000], [-0.389803, 0.600885, 0.219956, 0.572319, 0.096404, 0.134768, -0.188691, -0.219088, 0.000000, 0.000000], [-0.140025, 0.379631, -0.363449, -0.315219, -0.077814, 0.105434, 0.641413, -0.419802, 0.000000, 0.000000]]
fourier: [[34.220096, 34.417152, 35.128597, 35.380816, 239.274966], [16.015668, 16.045859, 17.937284, 18.914445, 26.466300], [34.412540, 34.843389, 37.238866, 40.768628, 199.416760], [30.732307, 31.963616, 32.693811, 35.479474, 172.625993], [41.840119, 42.058326, 43.786051, 50.813940, 359.297206], [27.480583, 27.687699, 31.533541, 31.983305, 149.724850], [33.096292, 33.457306, 34.632180, 38.661035, 40.820543], [14.930940, 16.057274, 16.103910, 16.379656, 17.876944]]
### 2
mean: [-4.371217, -0.580712, 3.374828, 3.025901, -0.298876, -0.385281, 3.433819, 1.550290]
std: [3.039364, 1.827546, 2.716147, 2.603787, 1.449228, 0.986740, 2.483106, 1.550980]
pca: [[0.495698, -0.369641, -0.016937, -0.157122, 0.044491, 0.463396, 0.329455, 0.517126, 0.000000, 0.000000], [0.272815, 0.647362, -0.384238, -0.455457, -0.127963, 0.027450, -0.291341, 0.222277, 0.000000, 0.000000], [-0.445755, 0.119038, -0.516381, -0.176310, 0.165142, 0.168600, 0.644748, -0.134162, 0.000000, 0.000000], [-0.428368, -0.050370, 0.288438, -0.353630, -0.041957, 0.686640, -0.345304, -0.115083, 0.000000, 0.000000], [0.219950, 0.473865, 0.126467, 0.484094, 0.551062, 0.392148, 0.026173, -0.136378, 0.000000, 0.000000], [0.145188, 0.309653, 0.653573, -0.406443, -0.067015, -0.162802, 0.479142, -0.173522, 0.000000, 0.000000], [-0.404126, 0.319560, 0.204813, 0.364282, -0.349248, 0.030737, 0.141057, 0.645831, 0.000000, 0.000000], [-0.254724, -0.070915, 0.130878, -0.281936, 0.722827, -0.321530, -0.146579, 0.431421, 0.000000, 0.000000]]
fourier: [[50.647864, 52.974007, 54.470974, 56.700063, 393.409519], [28.547819, 28.682965, 29.485723, 39.430552, 52.264130], [44.082765, 47.720397, 50.035414, 50.420895, 303.734527], [43.291132, 44.308105, 45.986223, 49.031071, 272.331105], [22.927385, 23.566596, 24.746803, 26.898880, 28.554928], [16.437613, 16.809365, 16.835067, 20.992159, 34.675268], [41.375249, 43.584643, 43.604374, 46.266567, 309.043647], [26.122921, 26.612045, 27.607479, 29.552762, 139.526132]]
### 4
mean: [-0.665011, -0.690534, 4.659069, -0.100755, -0.443244, -0.752545, 1.979648, -0.868860]
std: [1.899408, 1.284708, 4.423635, 0.718156, 0.731687, 1.216447, 1.737720, 0.900735]
pca: [[-0.335130, 0.535194, 0.417188, -0.345235, 0.048254, -0.515974, -0.190573, 0.056094, 0.000000, 0.000000], [-0.223967, 0.435616, -0.358728, 0.373943, -0.275888, 0.257102, -0.542225, 0.235233, 0.000000, 0.000000], [0.797168, 0.504042, -0.177533, 0.066908, 0.116717, -0.206398, 0.113674, 0.072980, 0.000000, 0.000000], [-0.118594, 0.371514, 0.327310, 0.175612, -0.436227, 0.334400, 0.638465, 0.013667, 0.000000, 0.000000], [-0.130754, 0.104059, 0.234492, 0.703719, 0.502401, -0.084257, -0.002594, -0.402934, 0.000000, 0.000000], [-0.214244, 0.344460, -0.418932, -0.418147, 0.357785, 0.366321, 0.151708, -0.447079, 0.000000, 0.000000], [0.313829, 0.036586, 0.572794, -0.187691, 0.139314, 0.585917, -0.416000, -0.032982, 0.000000, 0.000000], [-0.162789, 0.030104, -0.005884, 0.019208, 0.563751, 0.169283, 0.230295, 0.756758, 0.000000, 0.000000]]
fourier: [[30.862604, 30.971667, 32.528229, 42.345757, 59.850977], [20.884032, 21.520384, 22.115788, 28.656225, 62.148018], [72.616556, 74.151212, 78.725396, 87.737796, 419.316193], [11.108896, 11.456610, 11.618481, 12.791599, 15.644538], [11.803314, 12.206363, 13.281116, 15.569424, 39.891992], [19.843518, 20.313322, 20.765348, 27.414772, 67.729062], [28.470896, 29.873364, 30.398042, 35.721109, 178.168343], [14.636845, 14.777268, 15.660342, 19.106920, 78.197360]]
### 6
mean: [3.633428, 1.334255, 3.034063, 2.254339, 1.494827, -1.781087, -1.224338, -0.698360]
std: [3.509728, 0.781039, 2.818047, 2.342990, 1.343948, 2.909433, 1.526408, 1.038939]
pca: [[0.557122, 0.338871, 0.643103, -0.203892, -0.163902, 0.168216, -0.253892, -0.002572, 0.000000, 0.000000], [0.108246, 0.513565, -0.251001, -0.032552, -0.232272, 0.347065, 0.693924, -0.067360, 0.000000, 0.000000], [0.447776, 0.212437, -0.577738, -0.452836, 0.212646, -0.349475, -0.203290, 0.082753, 0.000000, 0.000000], [0.372883, -0.005672, -0.219393, 0.635509, 0.196107, 0.340080, -0.161539, 0.478240, 0.000000, 0.000000], [0.213355, 0.125372, 0.265724, 0.327718, 0.589048, -0.440800, 0.375916, -0.279566, 0.000000, 0.000000], [-0.458856, 0.522823, 0.189159, -0.077565, 0.166064, -0.217111, -0.025088, 0.631638, 0.000000, 0.000000], [-0.241812, 0.195350, -0.047672, -0.190913, 0.609740, 0.574316, -0.247194, -0.319246, 0.000000, 0.000000], [-0.154307, 0.499031, -0.181218, 0.445615, -0.298615, -0.205381, -0.428414, -0.425269, 0.000000, 0.000000]]
fourier: [[55.735508, 58.432682, 63.174001, 72.970863, 327.008536], [12.326235, 12.350979, 14.166448, 15.783964, 120.082915], [44.802249, 46.906580, 50.311659, 58.954522, 273.065697], [37.265451, 38.908946, 41.055345, 49.960966, 202.890489], [21.201193, 22.185690, 24.279665, 28.005551, 134.534414], [47.845433, 48.205541, 48.250568, 63.819817, 160.297799], [25.034109, 25.159561, 25.741488, 33.346346, 110.190462], [16.434649, 18.016389, 18.318810, 22.940199, 62.852418]]
### 8
mean: [-1.567814, -1.416786, 4.118830, 3.279470, 0.565754, -0.682790, -2.046183, 2.531394]
std: [2.061986, 1.698883, 3.855354, 3.164716, 1.116615, 0.833123, 2.485792, 2.873916]
pca: [[-0.298036, -0.085872, 0.441668, 0.531835, -0.245162, -0.488957, 0.239934, -0.262925, 0.000000, 0.000000], [-0.245474, 0.090824, 0.326073, 0.133905, 0.671085, 0.434037, -0.046193, -0.407876, 0.000000, 0.000000], [0.554938, -0.489481, 0.437546, -0.241121, -0.141402, 0.023373, -0.240392, -0.352898, 0.000000, 0.000000], [0.457647, 0.048584, 0.044709, 0.610179, -0.170686, 0.518554, 0.266038, 0.212305, 0.000000, 0.000000], [0.141341, 0.707560, 0.442756, -0.011185, -0.131819, -0.083676, -0.479131, 0.171112, 0.000000, 0.000000], [-0.113892, -0.355473, 0.444916, -0.062056, 0.302533, -0.063893, 0.049415, 0.748877, 0.000000, 0.000000], [-0.359364, 0.085086, 0.312054, -0.432960, -0.489779, 0.452475, 0.365556, -0.023192, 0.000000, 0.000000], [0.414039, 0.328914, 0.117471, -0.278089, 0.302698, -0.295416, 0.667902, -0.065299, 0.000000, 0.000000]]
fourier: [[33.676538, 34.472344, 35.999404, 44.554194, 141.103261], [27.116307, 28.613159, 30.320508, 36.126896, 127.510727], [61.085267, 64.587867, 69.890367, 80.803829, 370.694734], [51.023095, 52.527642, 55.385596, 68.453843, 295.152333], [16.356791, 18.924912, 20.332402, 24.064266, 50.917832], [12.887279, 13.955863, 14.907693, 18.348077, 61.451056], [39.661280, 41.598453, 44.275720, 53.195855, 184.156444], [47.269973, 47.737123, 48.710109, 62.881062, 227.825484]]
### 10
mean: [-4.753250]
std: [4.612734]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[73.439481, 79.501319, 85.593404, 95.582399, 427.792494]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.387044,
0.487274,
0.116864,
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[
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[
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[
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[
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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0.111037,
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[
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[
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0.175178,
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0.365184
],
[
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0.075368,
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0.2077,
0.537662,
-0.003749,
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],
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0.138279,
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0.022305,
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0.356486,
-0.192345,
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]
],
"network.2.bias": [
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0.082362,
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0.193645,
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0.23,
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0.078142,
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0.177211,
0.036222,
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0.07931,
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0.00804,
0.302455,
-0.039707,
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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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0.002979,
0.050028,
0.114341,
0.219399,
0.178857
],
[
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[
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-0.564793
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[
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0.292092
],
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0.341163,
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],
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]
],
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"network.10.weight": [
[
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [2.658611, 0.294070, 2.215742, -1.918067, 3.992192, 1.663609, -0.453562, -0.088448]
std: [2.001842, 0.980796, 2.148916, 1.939012, 2.564331, 1.701575, 2.177205, 1.005626]
pca: [[0.391538, 0.243062, 0.214131, -0.186104, 0.640428, 0.496791, 0.099034, 0.200935, 0.000000, 0.000000], [0.021795, 0.163457, 0.831070, -0.324004, -0.265461, -0.255026, 0.198540, -0.047174, 0.000000, 0.000000], [0.431646, -0.012352, 0.042380, 0.057854, -0.571666, 0.577755, -0.217704, -0.316841, 0.000000, 0.000000], [-0.385715, 0.173478, -0.063250, -0.144220, -0.371752, 0.365667, 0.072762, 0.720502, 0.000000, 0.000000], [0.476775, 0.609111, -0.271567, -0.072761, -0.154455, -0.431389, -0.240907, 0.233748, 0.000000, 0.000000], [0.335054, -0.088074, 0.058739, 0.635636, -0.123192, -0.072600, 0.626924, 0.242935, 0.000000, 0.000000], [-0.389803, 0.600885, 0.219956, 0.572319, 0.096404, 0.134768, -0.188691, -0.219088, 0.000000, 0.000000], [-0.140025, 0.379631, -0.363449, -0.315219, -0.077814, 0.105434, 0.641413, -0.419802, 0.000000, 0.000000]]
fourier: [[34.220096, 34.417152, 35.128597, 35.380816, 239.274966], [16.015668, 16.045859, 17.937284, 18.914445, 26.466300], [34.412540, 34.843389, 37.238866, 40.768628, 199.416760], [30.732307, 31.963616, 32.693811, 35.479474, 172.625993], [41.840119, 42.058326, 43.786051, 50.813940, 359.297206], [27.480583, 27.687699, 31.533541, 31.983305, 149.724850], [33.096292, 33.457306, 34.632180, 38.661035, 40.820543], [14.930940, 16.057274, 16.103910, 16.379656, 17.876944]]
### 2
mean: [-4.371217, -0.580712, 3.374828, 3.025901, -0.298876, -0.385281, 3.433819, 1.550290]
std: [3.039364, 1.827546, 2.716147, 2.603787, 1.449228, 0.986740, 2.483106, 1.550980]
pca: [[0.495698, -0.369641, -0.016937, -0.157122, 0.044491, 0.463396, 0.329455, 0.517126, 0.000000, 0.000000], [0.272815, 0.647362, -0.384238, -0.455457, -0.127963, 0.027450, -0.291341, 0.222277, 0.000000, 0.000000], [-0.445755, 0.119038, -0.516381, -0.176310, 0.165142, 0.168600, 0.644748, -0.134162, 0.000000, 0.000000], [-0.428368, -0.050370, 0.288438, -0.353630, -0.041957, 0.686640, -0.345304, -0.115083, 0.000000, 0.000000], [0.219950, 0.473865, 0.126467, 0.484094, 0.551062, 0.392148, 0.026173, -0.136378, 0.000000, 0.000000], [0.145188, 0.309653, 0.653573, -0.406443, -0.067015, -0.162802, 0.479142, -0.173522, 0.000000, 0.000000], [-0.404126, 0.319560, 0.204813, 0.364282, -0.349248, 0.030737, 0.141057, 0.645831, 0.000000, 0.000000], [-0.254724, -0.070915, 0.130878, -0.281936, 0.722827, -0.321530, -0.146579, 0.431421, 0.000000, 0.000000]]
fourier: [[50.647864, 52.974007, 54.470974, 56.700063, 393.409519], [28.547819, 28.682965, 29.485723, 39.430552, 52.264130], [44.082765, 47.720397, 50.035414, 50.420895, 303.734527], [43.291132, 44.308105, 45.986223, 49.031071, 272.331105], [22.927385, 23.566596, 24.746803, 26.898880, 28.554928], [16.437613, 16.809365, 16.835067, 20.992159, 34.675268], [41.375249, 43.584643, 43.604374, 46.266567, 309.043647], [26.122921, 26.612045, 27.607479, 29.552762, 139.526132]]
### 4
mean: [-0.665011, -0.690534, 4.659069, -0.100755, -0.443244, -0.752545, 1.979648, -0.868860]
std: [1.899408, 1.284708, 4.423635, 0.718156, 0.731687, 1.216447, 1.737720, 0.900735]
pca: [[-0.335130, 0.535194, 0.417188, -0.345235, 0.048254, -0.515974, -0.190573, 0.056094, 0.000000, 0.000000], [-0.223967, 0.435616, -0.358728, 0.373943, -0.275888, 0.257102, -0.542225, 0.235233, 0.000000, 0.000000], [0.797168, 0.504042, -0.177533, 0.066908, 0.116717, -0.206398, 0.113674, 0.072980, 0.000000, 0.000000], [-0.118594, 0.371514, 0.327310, 0.175612, -0.436227, 0.334400, 0.638465, 0.013667, 0.000000, 0.000000], [-0.130754, 0.104059, 0.234492, 0.703719, 0.502401, -0.084257, -0.002594, -0.402934, 0.000000, 0.000000], [-0.214244, 0.344460, -0.418932, -0.418147, 0.357785, 0.366321, 0.151708, -0.447079, 0.000000, 0.000000], [0.313829, 0.036586, 0.572794, -0.187691, 0.139314, 0.585917, -0.416000, -0.032982, 0.000000, 0.000000], [-0.162789, 0.030104, -0.005884, 0.019208, 0.563751, 0.169283, 0.230295, 0.756758, 0.000000, 0.000000]]
fourier: [[30.862604, 30.971667, 32.528229, 42.345757, 59.850977], [20.884032, 21.520384, 22.115788, 28.656225, 62.148018], [72.616556, 74.151212, 78.725396, 87.737796, 419.316193], [11.108896, 11.456610, 11.618481, 12.791599, 15.644538], [11.803314, 12.206363, 13.281116, 15.569424, 39.891992], [19.843518, 20.313322, 20.765348, 27.414772, 67.729062], [28.470896, 29.873364, 30.398042, 35.721109, 178.168343], [14.636845, 14.777268, 15.660342, 19.106920, 78.197360]]
### 6
mean: [3.633428, 1.334255, 3.034063, 2.254339, 1.494827, -1.781087, -1.224338, -0.698360]
std: [3.509728, 0.781039, 2.818047, 2.342990, 1.343948, 2.909433, 1.526408, 1.038939]
pca: [[0.557122, 0.338871, 0.643103, -0.203892, -0.163902, 0.168216, -0.253892, -0.002572, 0.000000, 0.000000], [0.108246, 0.513565, -0.251001, -0.032552, -0.232272, 0.347065, 0.693924, -0.067360, 0.000000, 0.000000], [0.447776, 0.212437, -0.577738, -0.452836, 0.212646, -0.349475, -0.203290, 0.082753, 0.000000, 0.000000], [0.372883, -0.005672, -0.219393, 0.635509, 0.196107, 0.340080, -0.161539, 0.478240, 0.000000, 0.000000], [0.213355, 0.125372, 0.265724, 0.327718, 0.589048, -0.440800, 0.375916, -0.279566, 0.000000, 0.000000], [-0.458856, 0.522823, 0.189159, -0.077565, 0.166064, -0.217111, -0.025088, 0.631638, 0.000000, 0.000000], [-0.241812, 0.195350, -0.047672, -0.190913, 0.609740, 0.574316, -0.247194, -0.319246, 0.000000, 0.000000], [-0.154307, 0.499031, -0.181218, 0.445615, -0.298615, -0.205381, -0.428414, -0.425269, 0.000000, 0.000000]]
fourier: [[55.735508, 58.432682, 63.174001, 72.970863, 327.008536], [12.326235, 12.350979, 14.166448, 15.783964, 120.082915], [44.802249, 46.906580, 50.311659, 58.954522, 273.065697], [37.265451, 38.908946, 41.055345, 49.960966, 202.890489], [21.201193, 22.185690, 24.279665, 28.005551, 134.534414], [47.845433, 48.205541, 48.250568, 63.819817, 160.297799], [25.034109, 25.159561, 25.741488, 33.346346, 110.190462], [16.434649, 18.016389, 18.318810, 22.940199, 62.852418]]
### 8
mean: [-1.567814, -1.416786, 4.118830, 3.279470, 0.565754, -0.682790, -2.046183, 2.531394]
std: [2.061986, 1.698883, 3.855354, 3.164716, 1.116615, 0.833123, 2.485792, 2.873916]
pca: [[-0.298036, -0.085872, 0.441668, 0.531835, -0.245162, -0.488957, 0.239934, -0.262925, 0.000000, 0.000000], [-0.245474, 0.090824, 0.326073, 0.133905, 0.671085, 0.434037, -0.046193, -0.407876, 0.000000, 0.000000], [0.554938, -0.489481, 0.437546, -0.241121, -0.141402, 0.023373, -0.240392, -0.352898, 0.000000, 0.000000], [0.457647, 0.048584, 0.044709, 0.610179, -0.170686, 0.518554, 0.266038, 0.212305, 0.000000, 0.000000], [0.141341, 0.707560, 0.442756, -0.011185, -0.131819, -0.083676, -0.479131, 0.171112, 0.000000, 0.000000], [-0.113892, -0.355473, 0.444916, -0.062056, 0.302533, -0.063893, 0.049415, 0.748877, 0.000000, 0.000000], [-0.359364, 0.085086, 0.312054, -0.432960, -0.489779, 0.452475, 0.365556, -0.023192, 0.000000, 0.000000], [0.414039, 0.328914, 0.117471, -0.278089, 0.302698, -0.295416, 0.667902, -0.065299, 0.000000, 0.000000]]
fourier: [[33.676538, 34.472344, 35.999404, 44.554194, 141.103261], [27.116307, 28.613159, 30.320508, 36.126896, 127.510727], [61.085267, 64.587867, 69.890367, 80.803829, 370.694734], [51.023095, 52.527642, 55.385596, 68.453843, 295.152333], [16.356791, 18.924912, 20.332402, 24.064266, 50.917832], [12.887279, 13.955863, 14.907693, 18.348077, 61.451056], [39.661280, 41.598453, 44.275720, 53.195855, 184.156444], [47.269973, 47.737123, 48.710109, 62.881062, 227.825484]]
### 10
mean: [-4.753250]
std: [4.612734]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[73.439481, 79.501319, 85.593404, 95.582399, 427.792494]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.532945, 0.387044, 0.487274, 0.116864, -0.190595], [0.042081, -0.228782, 0.309751, 0.276194, -0.466845], [0.662271, 0.450318, 0.401952, -0.119706, -0.169177], [-0.517346, -0.55821, -0.303286, 0.191276, 0.196277], [0.714997, 0.354969, 0.593736, 0.175864, 0.16539], [0.396998, 0.443859, 0.380099, -0.229837, -0.120875], [-0.708527, -0.685212, 0.090532, 0.347535, 0.212504], [-0.139766, -0.274859, -0.122162, 0.227073, 0.337024]], "network.0.bias": [0.256708, -0.004949, 0.196726, -0.275801, 0.634223, 0.208727, 0.480301, -0.06109], "network.2.weight": [[-0.335444, -0.283359, -0.271635, -0.106284, -0.588204, -0.136275, 0.155254, 0.051484], [-0.147062, 0.20471, -0.345198, 0.241955, 0.111037, -0.379842, 0.451344, 0.49795], [0.340865, 0.411913, 0.266953, 0.167615, 0.294678, 0.377688, -0.04593, -0.268395], [0.318455, 0.022366, 0.340274, 0.282289, 0.221786, 0.342796, -0.270839, -0.147885], [-0.332672, -0.074952, -0.237165, 0.079419, 0.338237, -0.520792, 0.392646, -0.035333], [-0.108108, -0.232144, -0.361613, 0.445503, 0.175178, -0.129508, -0.020777, 0.365184], [0.357265, 0.075368, 0.155195, 0.2077, 0.537662, -0.003749, -0.131471, -0.163954], [-0.014694, 0.138279, 0.22524, 0.022305, 0.170852, 0.356486, -0.192345, -0.05946]], "network.2.bias": [-0.316196, 0.333558, 0.022795, 0.167496, 0.458535, 0.241044, 0.109999, -0.119185], "network.4.weight": [[-0.238771, 0.306879, -0.092868, -0.341051, 0.498538, 0.425393, 0.113337, -0.317955], [-0.148636, 0.369536, -0.204776, 0.207491, 0.517136, 0.082362, -0.158017, -0.259582], [0.053707, -0.394533, 0.508525, 0.372057, -0.102761, -0.330508, 0.455429, 0.408879], [-0.146901, 0.340422, -0.214003, -0.129007, 0.193645, -0.064571, 0.23, -0.035981], [-0.351418, 0.070824, -0.312732, 0.096541, 0.183154, 0.06769, 0.146221, -0.219187], [-0.304629, 0.276628, 0.078142, -0.135827, 0.175245, 0.501782, -0.211839, -0.106191], [0.164008, -0.155609, 0.177211, 0.036222, -0.386468, -0.112894, 0.377933, -0.028805], [-0.094845, 0.07931, -0.095242, -0.121424, 0.00804, 0.302455, -0.039707, -0.06599]], "network.4.bias": [0.423861, -0.017652, -0.086573, 0.085271, 0.039098, 0.047351, 0.246656, -0.02355], "network.6.weight": [[-0.493218, 0.097553, 0.550883, -0.018893, -0.016955, -0.229047, 0.479572, -0.261634], [0.245345, 0.240225, 0.104393, -0.00702, 0.013538, -0.16481, 0.252332, 0.006531], [0.013708, -0.188048, 0.367434, -0.096707, -0.210296, -0.568563, 0.581168, 0.08315], [-0.019918, -0.576778, 0.376783, -0.40463, 0.052289, 0.038611, 0.234206, -0.338628], [-0.125499, -0.150957, 0.276246, 0.022337, -0.321358, 0.017405, 0.005345, 0.123558], [0.423705, 0.449773, -0.353205, 0.487646, -0.128307, 0.475439, -0.404751, 0.207545], [0.273575, 0.058362, -0.159992, 0.159118, -0.073482, 0.465691, -0.301513, -0.348641], [0.387457, 0.204907, -0.104173, 0.156087, 0.068792, 0.093199, -0.064895, 0.294751]], "network.6.bias": [0.287163, 0.230506, 0.254505, 0.140343, 0.25731, 0.350455, -0.07489, -0.277509], "network.8.weight": [[-0.323787, 0.074999, -0.198254, -0.053022, -0.054883, 0.348031, 0.311592, 0.028288], [-0.589828, 0.09003, 0.11085, 0.002979, 0.050028, 0.114341, 0.219399, 0.178857], [0.489608, 0.23296, 0.147785, 0.387978, 0.376432, -0.277779, -0.369918, -0.245404], [0.085071, -0.151843, 0.531149, 0.37041, 0.272904, -0.267848, -0.262929, -0.614885], [0.086673, -0.157689, 0.042429, -0.146226, 0.423634, -0.310224, -0.178275, -0.564793], [-0.239618, 0.269133, -0.104984, 0.1378, 0.0284, 0.17457, 0.090459, 0.292092], [-0.088457, 0.153716, -0.304232, -0.370737, -0.310525, 0.341163, -0.003577, 0.218445], [0.268351, -0.006273, 0.060985, 0.375847, 0.341066, -0.515245, -0.434326, -0.325348]], "network.8.bias": [0.181701, 0.167396, 0.259174, 0.418961, 0.222453, -0.265349, 0.201247, 0.256269], "network.10.weight": [[0.306667, 0.276833, -0.445655, -0.607138, -0.109427, 0.37881, 0.210956, -0.368046]], "network.10.bias": [0.193706]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6980384588241577, "train_acc": 0.445, "val_loss": 0.6703575253486633, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.669740617275238, "train_acc": 0.555, "val_loss": 0.5456279516220093, "val_acc": 0.68}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5292022377252579, "train_acc": 0.7, "val_loss": 0.3723036050796509, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.3430160731077194, "train_acc": 0.855, "val_loss": 0.525258481502533, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.34002648293972015, "train_acc": 0.875, "val_loss": 0.33109772205352783, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.35165977478027344, "train_acc": 0.88, "val_loss": 0.30442944169044495, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2617303654551506, "train_acc": 0.9, "val_loss": 0.32903313636779785, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2669137418270111, "train_acc": 0.925, "val_loss": 0.47586455941200256, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.29499660432338715, "train_acc": 0.9, "val_loss": 0.37533020973205566, "val_acc": 0.86}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6703575253486633, "final_val_loss": 0.5456279516220093, "initial_val_acc": 0.6, "final_val_acc": 0.68, "best_val_acc": 0.68}, "improved_stage": {"initial_val_loss": 0.3723036050796509, "final_val_loss": 0.37533020973205566, "initial_val_acc": 0.84, "final_val_acc": 0.86, "best_val_acc": 0.88, "best_epoch": 4}, "improvement": 0.19999999999999996, "first_improvement_epoch": 1}}
|
9,765
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.54, "improved_accuracy": 0.94, "improvement": 0.3999999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8841, "learning_rate": 0.0886271468340807, "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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[
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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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"network.10.bias": [
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}
## Activation Signature
### 0
mean: [-2.141155, -6.951901, 1.253867, 0.398878, 0.614680, -2.253601]
std: [2.393917, 4.017247, 3.111810, 2.840740, 3.231973, 2.309745]
pca: [[0.366458, 0.104040, 0.169727, 0.560192, 0.212369, -0.683491, 0.000000, 0.000000, 0.000000, 0.000000], [0.581776, -0.493900, 0.471148, -0.440008, 0.044330, 0.006881, 0.000000, 0.000000, 0.000000, 0.000000], [-0.489769, -0.342106, 0.246842, 0.077796, 0.757634, 0.045797, 0.000000, 0.000000, 0.000000, 0.000000], [-0.394130, -0.054920, 0.705709, 0.242234, -0.533672, -0.011713, 0.000000, 0.000000, 0.000000, 0.000000], [0.060240, 0.789925, 0.423639, -0.323331, 0.285875, 0.081560, 0.000000, 0.000000, 0.000000, 0.000000], [0.358336, 0.034686, 0.103859, 0.568599, 0.111331, 0.723813, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.632826, 39.342297, 40.665346, 49.078215, 192.703999], [69.145709, 71.233239, 74.975791, 80.398402, 625.671150], [48.586592, 49.897834, 50.226052, 66.305546, 112.848045], [38.489271, 40.615295, 44.435805, 52.905924, 59.311947], [51.700405, 55.321240, 60.056356, 61.653667, 69.108261], [36.853677, 37.136965, 38.495039, 49.296488, 202.824068]]
### 2
mean: [2.229565, -1.129016, -0.378018, -0.915891, 2.155499, -2.515985]
std: [3.505204, 4.488760, 1.273064, 3.147589, 3.269592, 2.506439]
pca: [[-0.476647, 0.395418, 0.404748, -0.127019, 0.253333, -0.610180, 0.000000, 0.000000, 0.000000, 0.000000], [0.597810, 0.536888, 0.321555, -0.366474, -0.340324, 0.029227, 0.000000, 0.000000, 0.000000, 0.000000], [0.146076, -0.160188, 0.545442, 0.743268, -0.292492, -0.132271, 0.000000, 0.000000, 0.000000, 0.000000], [0.345258, 0.493623, -0.357478, 0.489588, 0.513748, -0.075560, 0.000000, 0.000000, 0.000000, 0.000000], [-0.426709, 0.408789, 0.249432, 0.140413, 0.044477, 0.752928, 0.000000, 0.000000, 0.000000, 0.000000], [0.304646, -0.344911, 0.495246, -0.194174, 0.684497, 0.191626, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[66.318967, 66.368159, 76.194522, 78.140764, 200.660879], [70.866835, 72.025660, 73.615919, 75.219371, 101.611470], [17.797379, 24.028938, 24.231479, 30.112095, 34.021620], [45.119556, 48.550449, 51.305109, 52.704178, 82.430195], [61.156879, 62.490504, 70.594029, 73.541380, 193.994884], [43.143062, 44.365568, 54.686240, 56.953319, 226.438662]]
### 4
mean: [0.843279, -1.573622, 5.118545, 3.599475, -1.237151, -0.086421]
std: [3.737032, 3.310489, 7.289536, 4.976010, 2.286906, 2.447195]
pca: [[0.265857, 0.613892, 0.210797, -0.381871, 0.500719, -0.333880, 0.000000, 0.000000, 0.000000, 0.000000], [-0.303751, 0.339481, -0.213655, 0.770025, 0.195463, -0.340140, 0.000000, 0.000000, 0.000000, 0.000000], [0.741065, -0.259595, -0.063068, 0.216238, -0.234982, -0.526763, 0.000000, 0.000000, 0.000000, 0.000000], [0.505386, 0.181986, 0.180980, 0.417816, 0.204406, 0.679971, 0.000000, 0.000000, 0.000000, 0.000000], [-0.177569, -0.321784, 0.877978, 0.197466, 0.148675, -0.181610, 0.000000, 0.000000, 0.000000, 0.000000], [0.030524, -0.551213, -0.319906, -0.030221, 0.769397, -0.002735, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.741006, 55.884707, 65.746113, 75.895102, 92.845823], [54.753988, 57.366398, 70.179805, 75.054669, 141.626000], [124.394772, 137.047628, 159.336582, 161.909445, 460.668994], [93.250694, 96.605727, 107.436010, 109.094156, 323.952781], [32.687142, 40.458458, 40.853414, 58.796772, 111.343582], [36.180969, 36.272540, 36.399923, 39.074710, 48.623643]]
### 6
mean: [8.690293, 0.156128, 5.511674, -2.300333, 7.658255, -0.044880]
std: [12.713799, 1.593540, 8.023858, 3.934896, 11.087137, 1.179140]
pca: [[0.664715, -0.029360, 0.435367, 0.242400, -0.249967, -0.496494, 0.000000, 0.000000, 0.000000, 0.000000], [0.070054, 0.530365, 0.457878, 0.025847, 0.698490, 0.124887, 0.000000, 0.000000, 0.000000, 0.000000], [0.419064, 0.298141, 0.078722, -0.439928, -0.411915, 0.605053, 0.000000, 0.000000, 0.000000, 0.000000], [-0.202526, -0.370912, 0.514704, 0.508732, -0.148166, 0.525096, 0.000000, 0.000000, 0.000000, 0.000000], [0.578790, -0.415356, -0.403969, 0.167900, 0.463383, 0.293899, 0.000000, 0.000000, 0.000000, 0.000000], [0.040210, 0.564683, -0.408037, 0.678262, -0.208032, 0.098521, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[226.272553, 242.852563, 278.713574, 282.569892, 782.126336], [24.375912, 26.245517, 31.356214, 32.050877, 36.414930], [134.616755, 153.482449, 178.718408, 180.005672, 496.050668], [60.922449, 74.826309, 87.328724, 91.262904, 207.030019], [208.956611, 211.633793, 239.134186, 246.459570, 689.242939], [17.613144, 19.042959, 20.924854, 24.209114, 26.050422]]
### 8
mean: [12.170317, -4.085493, -12.511583, -10.906568, -5.132402, 15.211387]
std: [17.381451, 4.537963, 14.841965, 12.579821, 5.991160, 21.343395]
pca: [[0.503650, 0.414574, -0.365824, 0.604133, 0.255740, 0.101282, 0.000000, 0.000000, 0.000000, 0.000000], [-0.128782, 0.425505, 0.121985, -0.034824, -0.475745, 0.748287, 0.000000, 0.000000, 0.000000, 0.000000], [-0.429989, 0.382684, 0.008425, 0.386210, -0.451293, -0.561933, 0.000000, 0.000000, 0.000000, 0.000000], [-0.362963, 0.603146, -0.126540, -0.416463, 0.559149, -0.048696, 0.000000, 0.000000, 0.000000, 0.000000], [-0.173523, -0.003103, 0.781461, 0.431237, 0.399051, 0.118285, 0.000000, 0.000000, 0.000000, 0.000000], [0.618878, 0.369908, 0.473844, -0.353900, -0.180854, -0.312533, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[296.433514, 333.967954, 381.614731, 385.089469, 1095.328527], [85.513742, 90.192615, 96.660228, 97.133666, 367.694382], [282.167799, 286.588072, 317.429247, 323.127695, 1126.042566], [240.532116, 248.100698, 264.753407, 274.591435, 981.591095], [109.391275, 115.494053, 128.659836, 129.195027, 461.916182], [369.546291, 412.870569, 467.626957, 471.692319, 1369.024772]]
### 10
mean: [-15.277319]
std: [22.188738]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[385.173128, 428.858749, 483.688793, 489.263027, 1374.958702]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": [
[
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-0.853655,
0.3332,
-0.031368,
-1.111913
],
[
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-1.042848,
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-1.097945
],
[
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-0.028267,
0.068213,
1.670875
],
[
0.000685,
-0.286121,
0.02399,
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1.472769
],
[
1.668361,
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-0.317143
],
[
0.1378,
-0.790206,
0.358243,
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-1.085684
]
],
"network.0.bias": [
-0.217869,
-1.190525,
-0.243478,
-0.043644,
0.324109,
-0.371902
],
"network.2.weight": [
[
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0.24401
],
[
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0.644964,
-1.366355
],
[
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0.073532,
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],
[
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[
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],
[
0.302248,
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1.838153
]
],
"network.2.bias": [
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-0.399057,
-0.421838,
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],
"network.4.weight": [
[
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-0.550644,
0.428012,
-0.409067
],
[
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-0.129494,
0.301203,
-1.257194,
0.050441,
-1.091865
],
[
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0.605326,
-0.237295,
1.101146,
0.693107,
0.374381
],
[
0.755595,
0.096723,
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0.043274,
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],
[
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0.642231,
0.193198,
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1.10487
],
[
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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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1.108885,
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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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]
],
"network.10.bias": [
1.039928
]
}
## Activation Signature
### 0
mean: [-2.141155, -6.951901, 1.253867, 0.398878, 0.614680, -2.253601]
std: [2.393917, 4.017247, 3.111810, 2.840740, 3.231973, 2.309745]
pca: [[0.366458, 0.104040, 0.169727, 0.560192, 0.212369, -0.683491, 0.000000, 0.000000, 0.000000, 0.000000], [0.581776, -0.493900, 0.471148, -0.440008, 0.044330, 0.006881, 0.000000, 0.000000, 0.000000, 0.000000], [-0.489769, -0.342106, 0.246842, 0.077796, 0.757634, 0.045797, 0.000000, 0.000000, 0.000000, 0.000000], [-0.394130, -0.054920, 0.705709, 0.242234, -0.533672, -0.011713, 0.000000, 0.000000, 0.000000, 0.000000], [0.060240, 0.789925, 0.423639, -0.323331, 0.285875, 0.081560, 0.000000, 0.000000, 0.000000, 0.000000], [0.358336, 0.034686, 0.103859, 0.568599, 0.111331, 0.723813, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.632826, 39.342297, 40.665346, 49.078215, 192.703999], [69.145709, 71.233239, 74.975791, 80.398402, 625.671150], [48.586592, 49.897834, 50.226052, 66.305546, 112.848045], [38.489271, 40.615295, 44.435805, 52.905924, 59.311947], [51.700405, 55.321240, 60.056356, 61.653667, 69.108261], [36.853677, 37.136965, 38.495039, 49.296488, 202.824068]]
### 2
mean: [2.229565, -1.129016, -0.378018, -0.915891, 2.155499, -2.515985]
std: [3.505204, 4.488760, 1.273064, 3.147589, 3.269592, 2.506439]
pca: [[-0.476647, 0.395418, 0.404748, -0.127019, 0.253333, -0.610180, 0.000000, 0.000000, 0.000000, 0.000000], [0.597810, 0.536888, 0.321555, -0.366474, -0.340324, 0.029227, 0.000000, 0.000000, 0.000000, 0.000000], [0.146076, -0.160188, 0.545442, 0.743268, -0.292492, -0.132271, 0.000000, 0.000000, 0.000000, 0.000000], [0.345258, 0.493623, -0.357478, 0.489588, 0.513748, -0.075560, 0.000000, 0.000000, 0.000000, 0.000000], [-0.426709, 0.408789, 0.249432, 0.140413, 0.044477, 0.752928, 0.000000, 0.000000, 0.000000, 0.000000], [0.304646, -0.344911, 0.495246, -0.194174, 0.684497, 0.191626, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[66.318967, 66.368159, 76.194522, 78.140764, 200.660879], [70.866835, 72.025660, 73.615919, 75.219371, 101.611470], [17.797379, 24.028938, 24.231479, 30.112095, 34.021620], [45.119556, 48.550449, 51.305109, 52.704178, 82.430195], [61.156879, 62.490504, 70.594029, 73.541380, 193.994884], [43.143062, 44.365568, 54.686240, 56.953319, 226.438662]]
### 4
mean: [0.843279, -1.573622, 5.118545, 3.599475, -1.237151, -0.086421]
std: [3.737032, 3.310489, 7.289536, 4.976010, 2.286906, 2.447195]
pca: [[0.265857, 0.613892, 0.210797, -0.381871, 0.500719, -0.333880, 0.000000, 0.000000, 0.000000, 0.000000], [-0.303751, 0.339481, -0.213655, 0.770025, 0.195463, -0.340140, 0.000000, 0.000000, 0.000000, 0.000000], [0.741065, -0.259595, -0.063068, 0.216238, -0.234982, -0.526763, 0.000000, 0.000000, 0.000000, 0.000000], [0.505386, 0.181986, 0.180980, 0.417816, 0.204406, 0.679971, 0.000000, 0.000000, 0.000000, 0.000000], [-0.177569, -0.321784, 0.877978, 0.197466, 0.148675, -0.181610, 0.000000, 0.000000, 0.000000, 0.000000], [0.030524, -0.551213, -0.319906, -0.030221, 0.769397, -0.002735, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.741006, 55.884707, 65.746113, 75.895102, 92.845823], [54.753988, 57.366398, 70.179805, 75.054669, 141.626000], [124.394772, 137.047628, 159.336582, 161.909445, 460.668994], [93.250694, 96.605727, 107.436010, 109.094156, 323.952781], [32.687142, 40.458458, 40.853414, 58.796772, 111.343582], [36.180969, 36.272540, 36.399923, 39.074710, 48.623643]]
### 6
mean: [8.690293, 0.156128, 5.511674, -2.300333, 7.658255, -0.044880]
std: [12.713799, 1.593540, 8.023858, 3.934896, 11.087137, 1.179140]
pca: [[0.664715, -0.029360, 0.435367, 0.242400, -0.249967, -0.496494, 0.000000, 0.000000, 0.000000, 0.000000], [0.070054, 0.530365, 0.457878, 0.025847, 0.698490, 0.124887, 0.000000, 0.000000, 0.000000, 0.000000], [0.419064, 0.298141, 0.078722, -0.439928, -0.411915, 0.605053, 0.000000, 0.000000, 0.000000, 0.000000], [-0.202526, -0.370912, 0.514704, 0.508732, -0.148166, 0.525096, 0.000000, 0.000000, 0.000000, 0.000000], [0.578790, -0.415356, -0.403969, 0.167900, 0.463383, 0.293899, 0.000000, 0.000000, 0.000000, 0.000000], [0.040210, 0.564683, -0.408037, 0.678262, -0.208032, 0.098521, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[226.272553, 242.852563, 278.713574, 282.569892, 782.126336], [24.375912, 26.245517, 31.356214, 32.050877, 36.414930], [134.616755, 153.482449, 178.718408, 180.005672, 496.050668], [60.922449, 74.826309, 87.328724, 91.262904, 207.030019], [208.956611, 211.633793, 239.134186, 246.459570, 689.242939], [17.613144, 19.042959, 20.924854, 24.209114, 26.050422]]
### 8
mean: [12.170317, -4.085493, -12.511583, -10.906568, -5.132402, 15.211387]
std: [17.381451, 4.537963, 14.841965, 12.579821, 5.991160, 21.343395]
pca: [[0.503650, 0.414574, -0.365824, 0.604133, 0.255740, 0.101282, 0.000000, 0.000000, 0.000000, 0.000000], [-0.128782, 0.425505, 0.121985, -0.034824, -0.475745, 0.748287, 0.000000, 0.000000, 0.000000, 0.000000], [-0.429989, 0.382684, 0.008425, 0.386210, -0.451293, -0.561933, 0.000000, 0.000000, 0.000000, 0.000000], [-0.362963, 0.603146, -0.126540, -0.416463, 0.559149, -0.048696, 0.000000, 0.000000, 0.000000, 0.000000], [-0.173523, -0.003103, 0.781461, 0.431237, 0.399051, 0.118285, 0.000000, 0.000000, 0.000000, 0.000000], [0.618878, 0.369908, 0.473844, -0.353900, -0.180854, -0.312533, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[296.433514, 333.967954, 381.614731, 385.089469, 1095.328527], [85.513742, 90.192615, 96.660228, 97.133666, 367.694382], [282.167799, 286.588072, 317.429247, 323.127695, 1126.042566], [240.532116, 248.100698, 264.753407, 274.591435, 981.591095], [109.391275, 115.494053, 128.659836, 129.195027, 461.916182], [369.546291, 412.870569, 467.626957, 471.692319, 1369.024772]]
### 10
mean: [-15.277319]
std: [22.188738]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[385.173128, 428.858749, 483.688793, 489.263027, 1374.958702]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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128.6598361350808, 129.19502741663206, 461.9161815494299]}, "5": {"mean": 15.211386680603027, "std": 21.343395233154297, "pca": [0.6188777089118958, 0.36990785598754883, 0.4738440215587616, -0.35390034317970276, -0.18085449934005737, -0.31253257393836975, 0.0, 0.0, 0.0, 0.0], "fourier": [369.5462913225236, 412.8705690590268, 467.6269567964277, 471.69231902823066, 1369.0247724950314]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -15.277318954467773, "std": 22.188737869262695, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [385.17312760891207, 428.8587485772627, 483.6887932017754, 489.26302657126666, 1374.9587019085884]}}, "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": [[0.301236, -0.853655, 0.3332, -0.031368, -1.111913], [-0.411325, -0.531807, -1.042848, -0.348766, -1.097945], [-0.59141, 0.046835, -0.028267, 0.068213, 1.670875], [0.000685, -0.286121, 0.02399, -0.421314, 1.472769], [1.668361, -0.163557, -0.279665, -0.238869, -0.317143], [0.1378, -0.790206, 0.358243, -0.010527, -1.085684]], "network.0.bias": [-0.217869, -1.190525, -0.243478, -0.043644, 0.324109, -0.371902], "network.2.weight": [[-0.27831, -0.100051, 0.537724, 0.64734, 0.790159, 0.24401], [-0.678972, 0.2526, -1.400309, -0.04136, 0.644964, -1.366355], [0.501904, -0.498542, 0.073532, -0.506879, -0.193192, 1.307285], [-1.716831, 0.05227, -0.659151, -0.250779, 0.660157, -1.33926], [-0.286591, -0.592785, 0.541257, 0.49569, 0.799076, -0.183561], [0.302248, -0.667718, -0.397176, -0.332501, -0.589693, 1.838153]], "network.2.bias": [-0.507179, 0.330005, 0.335687, -0.399057, -0.421838, -0.697485], "network.4.weight": [[0.679046, -0.769655, -0.757974, -0.550644, 0.428012, -0.409067], [-0.576878, -0.129494, 0.301203, -1.257194, 0.050441, -1.091865], [1.090163, 0.605326, -0.237295, 1.101146, 0.693107, 0.374381], [0.755595, 0.096723, -0.20414, 0.043274, 0.736223, -0.196634], [-0.307383, 0.389345, 0.642231, 0.193198, -0.341888, 1.10487], [-0.37928, 0.655275, 0.23438, 0.879972, 0.092591, 0.54823]], "network.4.bias": [-0.626683, 0.536667, -0.266365, 0.013959, -0.292967, -0.548185], "network.6.weight": [[0.418192, -0.799737, 1.023622, 0.693513, 0.198533, 0.894605], [0.440379, -0.411388, 0.152699, -0.385869, -0.009969, 0.928759], [0.240627, -0.885233, 0.642473, 0.415328, 0.576572, 0.665419], [-0.460393, 0.970813, -0.187857, -0.091647, -0.692424, -0.811246], [0.623123, -1.123923, 1.108885, 0.260105, 0.367687, 0.278142], [0.747749, -0.242858, 0.164979, -0.641704, 0.630672, 0.917637]], "network.6.bias": [-0.313456, -0.465324, -0.035022, 0.108238, -0.009928, -0.382506], "network.8.weight": [[1.007679, 0.693174, 0.35126, -0.464264, 0.106783, 0.41025], [0.504101, 0.454522, -0.819502, -0.442989, -0.488866, 0.811624], [-0.332299, 0.826545, -0.888138, -0.693393, -0.460792, 0.245009], [-0.153578, 0.973067, -0.655409, -0.118071, -0.629771, 0.509528], [-0.54111, -0.196173, 0.183182, -0.523358, -0.065276, 0.077013], [0.86228, 0.689547, 0.248914, -0.09625, 0.69891, 1.055462]], "network.8.bias": [-0.283363, -0.327367, -0.864695, -1.25912, -0.443541, -0.408489], "network.10.weight": [[-0.401579, 0.069039, -1.073576, -0.791761, 0.203683, -0.726242]], "network.10.bias": [1.039928]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7129148244857788, "train_acc": 0.45, "val_loss": 0.6898136138916016, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7021831274032593, "train_acc": 0.55, "val_loss": 0.6657295227050781, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6516159772872925, "train_acc": 0.55, "val_loss": 0.5504266023635864, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5865155756473541, "train_acc": 0.585, "val_loss": 0.4075789749622345, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.43325045704841614, "train_acc": 0.84, "val_loss": 0.39792609214782715, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4276832640171051, "train_acc": 0.8, "val_loss": 0.2982657551765442, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.38196319341659546, "train_acc": 0.825, "val_loss": 0.3312233090400696, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.403781920671463, "train_acc": 0.815, "val_loss": 0.34454867243766785, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3976040482521057, "train_acc": 0.81, "val_loss": 0.2921912670135498, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.36649438738822937, "train_acc": 0.84, "val_loss": 0.26784124970436096, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.36812764406204224, "train_acc": 0.85, "val_loss": 0.2644290626049042, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.34494011104106903, "train_acc": 0.86, "val_loss": 0.26002219319343567, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.33913643658161163, "train_acc": 0.87, "val_loss": 0.20225945115089417, "val_acc": 0.94}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6898136138916016, "final_val_loss": 0.5504266023635864, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.4075789749622345, "final_val_loss": 0.20225945115089417, "initial_val_acc": 0.88, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 12}, "improvement": 0.3999999999999999, "first_improvement_epoch": 2}}
|
9,766
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.46, "improved_accuracy": 0.96, "improvement": 0.49999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7964, "learning_rate": 0.0658615694849049, "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: 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: [-0.318687, 0.927733, 0.101881, 2.016953, -0.535748, 2.997614, 1.643875, 0.274022]
std: [1.033835, 1.418192, 1.048312, 1.827977, 1.153198, 1.823915, 1.554018, 0.592927]
pca: [[-0.162155, 0.104499, -0.063953, 0.700921, -0.451443, 0.262722, 0.383832, -0.217380, 0.000000, 0.000000], [0.269669, -0.588042, -0.164801, -0.020932, -0.338500, -0.038066, 0.257846, 0.609403, 0.000000, 0.000000], [-0.047155, 0.076940, -0.562289, 0.360876, 0.500087, 0.337904, -0.236060, 0.354212, 0.000000, 0.000000], [0.663313, 0.213456, -0.194046, -0.282290, -0.224516, 0.544511, -0.054574, -0.217330, 0.000000, 0.000000], [-0.284616, -0.145455, 0.578214, -0.036715, -0.079865, 0.632370, -0.296136, 0.261132, 0.000000, 0.000000], [0.581468, -0.250241, 0.431413, 0.502141, 0.333427, -0.124643, -0.129064, -0.132833, 0.000000, 0.000000], [0.199056, 0.709508, 0.245106, 0.112014, -0.146670, -0.208490, 0.017324, 0.564863, 0.000000, 0.000000], [0.006448, 0.067997, 0.185480, -0.179755, 0.491994, 0.244867, 0.789197, 0.061406, 0.000000, 0.000000]]
fourier: [[14.762627, 17.465236, 20.519039, 21.474138, 28.681827], [21.254401, 21.287478, 24.459739, 28.351834, 83.496020], [17.639757, 17.778693, 19.434512, 21.064182, 21.828691], [28.084240, 30.188553, 31.274944, 32.095566, 181.525731], [17.575590, 17.597944, 18.143869, 19.823314, 48.217304], [27.890036, 29.127845, 30.658983, 37.642138, 269.785277], [25.108662, 27.674420, 28.186443, 28.746055, 147.948767], [9.457227, 10.021764, 10.215105, 11.142979, 24.661962]]
### 2
mean: [0.715844, -0.086189, 0.663272, 3.028589, -1.937919, 1.022782, -0.227408, 2.258713]
std: [0.920450, 0.388927, 1.258804, 2.047045, 1.284703, 1.112006, 0.542987, 1.488542]
pca: [[0.299850, -0.068674, -0.118809, -0.462822, 0.018744, -0.474937, 0.092964, 0.665203, 0.000000, 0.000000], [-0.023708, -0.142399, -0.267009, 0.440921, 0.633071, 0.234995, -0.252233, 0.440264, 0.000000, 0.000000], [-0.076428, 0.718277, -0.086040, -0.501252, 0.300660, 0.283647, -0.218566, -0.030926, 0.000000, 0.000000], [0.682078, 0.172445, -0.032113, 0.212455, -0.438584, 0.251445, -0.438336, 0.105570, 0.000000, 0.000000], [-0.426455, -0.100396, 0.146452, -0.118505, -0.424495, 0.557265, 0.098771, 0.521602, 0.000000, 0.000000], [-0.048018, 0.637267, 0.106906, 0.516379, -0.089051, -0.219928, 0.441491, 0.249592, 0.000000, 0.000000], [-0.112318, 0.018197, 0.835251, 0.042438, 0.139731, -0.226983, -0.447484, 0.127755, 0.000000, 0.000000], [0.491601, -0.113259, 0.419089, -0.111809, 0.329344, 0.406323, 0.531897, -0.029740, 0.000000, 0.000000]]
fourier: [[14.190794, 14.557842, 16.927581, 19.028800, 64.425974], [5.601012, 6.087261, 6.787335, 7.172915, 7.757024], [19.812493, 21.413782, 22.665119, 25.620252, 59.694488], [32.389936, 32.987445, 35.497978, 35.638593, 272.572998], [21.149368, 21.176294, 22.546911, 23.179370, 174.412674], [16.499756, 19.382221, 20.862429, 21.785410, 92.050357], [10.576020, 10.853722, 11.499091, 12.945303, 20.466698], [24.011925, 25.419132, 26.709352, 27.290921, 203.284116]]
### 4
mean: [2.313560, 0.048024, -0.012930, 0.844618, -1.576176, -0.740600, -1.731065, -0.036716]
std: [1.930846, 0.511813, 0.393896, 1.142837, 0.892220, 0.511969, 1.213873, 1.059317]
pca: [[0.728239, 0.046981, -0.032878, 0.280986, 0.411145, 0.342631, 0.260936, 0.181391, 0.000000, 0.000000], [-0.176941, 0.115090, -0.359910, 0.320153, -0.176528, -0.038078, 0.710704, -0.430930, 0.000000, 0.000000], [0.139439, -0.038185, 0.085184, 0.702009, -0.422330, -0.407188, -0.157872, 0.331568, 0.000000, 0.000000], [-0.201081, 0.713516, 0.528062, 0.100610, -0.147905, 0.345492, 0.099780, 0.101458, 0.000000, 0.000000], [-0.307242, -0.238148, 0.390234, 0.468099, 0.561622, -0.028149, -0.141150, -0.375970, 0.000000, 0.000000], [-0.094652, -0.300140, 0.457055, -0.229398, 0.098123, -0.317680, 0.608588, 0.398128, 0.000000, 0.000000], [-0.401899, -0.414027, -0.174646, 0.196271, -0.128294, 0.648174, 0.035660, 0.400218, 0.000000, 0.000000], [-0.337052, 0.394673, -0.437716, 0.073122, 0.507988, -0.272296, -0.018913, 0.448477, 0.000000, 0.000000]]
fourier: [[32.242126, 33.087251, 34.873065, 36.064698, 208.220406], [7.351767, 8.210979, 8.392309, 8.815696, 9.485029], [5.656710, 6.369712, 6.690620, 7.128784, 7.459938], [19.603060, 19.693002, 19.883728, 20.275226, 76.015613], [14.028868, 14.755584, 15.222138, 16.619472, 141.855890], [8.166360, 9.213640, 9.599117, 10.664900, 66.654021], [19.621480, 21.087606, 22.098471, 22.900131, 155.795827], [14.263585, 17.540632, 17.854886, 18.399229, 19.462121]]
### 6
mean: [0.035170, -0.631634, -0.030599, -0.668965, -0.668620, 0.782497, -0.908024, 0.761074]
std: [0.885116, 0.314387, 1.587332, 0.280958, 1.143520, 0.284820, 0.674444, 1.105694]
pca: [[0.346996, 0.314896, 0.421613, -0.179133, -0.515125, 0.274232, -0.476786, 0.052021, 0.000000, 0.000000], [0.118377, 0.133422, 0.547291, -0.234628, 0.742976, 0.224204, 0.080246, 0.069914, 0.000000, 0.000000], [0.633034, 0.188678, -0.425881, 0.145169, 0.114069, 0.135402, 0.168723, 0.549006, 0.000000, 0.000000], [-0.051142, -0.470585, -0.300733, -0.577448, -0.046553, 0.591450, -0.005898, 0.005714, 0.000000, 0.000000], [0.450334, -0.377808, -0.032799, 0.462687, 0.189511, 0.190734, -0.278373, -0.538070, 0.000000, 0.000000], [-0.034722, 0.523332, -0.111498, 0.074240, -0.122911, 0.429389, 0.520587, -0.486294, 0.000000, 0.000000], [0.251674, -0.451304, 0.465735, 0.070573, -0.340103, -0.053184, 0.618335, 0.101282, 0.000000, 0.000000], [-0.441459, -0.075486, 0.143122, 0.577728, -0.027611, 0.531790, -0.083026, 0.393327, 0.000000, 0.000000]]
fourier: [[11.988307, 14.469839, 14.822584, 14.899418, 15.213508], [4.897355, 4.905238, 4.932520, 5.317861, 56.847058], [23.293516, 26.076909, 27.041557, 28.504439, 28.763323], [5.099067, 5.240197, 5.741467, 5.857613, 60.206870], [18.708418, 19.083702, 20.460196, 21.668371, 60.175842], [4.109737, 5.015347, 5.484684, 6.180623, 70.424692], [10.769345, 11.391197, 11.513212, 12.646941, 81.722128], [18.000863, 18.442862, 19.905358, 20.162292, 68.496651]]
### 8
mean: [-0.310195, 0.677006, 0.052029, -0.376055, 0.108272, 0.231487, 0.296277, -0.178151]
std: [0.560241, 1.168287, 1.252128, 0.215244, 1.066386, 0.419967, 1.289678, 0.213899]
pca: [[-0.221797, 0.271706, -0.505754, -0.116314, 0.322102, -0.329723, 0.267817, 0.568747, 0.000000, 0.000000], [-0.464962, -0.468215, -0.012975, 0.321346, 0.300721, 0.529943, 0.282476, 0.100439, 0.000000, 0.000000], [-0.499587, 0.423632, -0.250655, 0.401285, 0.040712, -0.124552, -0.207379, -0.535644, 0.000000, 0.000000], [0.048286, 0.530696, 0.367443, 0.435950, -0.343547, 0.194861, 0.368086, 0.315406, 0.000000, 0.000000], [0.426955, -0.242500, -0.085276, 0.451217, 0.186948, -0.430134, 0.494379, -0.289239, 0.000000, 0.000000], [-0.160562, -0.381733, 0.034194, 0.446765, -0.334448, -0.401870, -0.437323, 0.403886, 0.000000, 0.000000], [0.517427, 0.157499, -0.317703, 0.357451, 0.327149, 0.387157, -0.441459, 0.164179, 0.000000, 0.000000], [-0.083044, 0.128513, 0.660929, 0.034050, 0.657498, -0.246078, -0.198595, 0.079401, 0.000000, 0.000000]]
fourier: [[8.686386, 9.444367, 9.838872, 10.941877, 27.917508], [19.221761, 20.676809, 20.939977, 21.181565, 60.930584], [17.111394, 18.165080, 21.212646, 22.132070, 24.090739], [3.562499, 3.640230, 3.676569, 3.980346, 33.844978], [14.673709, 14.969163, 18.580198, 19.319165, 20.507251], [6.776048, 7.253489, 7.608359, 7.648198, 20.833794], [20.085357, 23.067943, 23.342682, 23.982861, 26.664957], [3.252646, 3.380338, 3.926893, 3.984899, 16.033629]]
### 10
mean: [-0.590740, 0.569214, -0.182473, -0.280239, -0.365163, -0.032381, 0.150367, 0.586727]
std: [0.634351, 1.558479, 1.079841, 0.533577, 0.273218, 1.416657, 1.182705, 1.349997]
pca: [[-0.187784, 0.686054, -0.067184, -0.097479, 0.251449, 0.540804, 0.113954, 0.333722, 0.000000, 0.000000], [0.507386, -0.064651, 0.171671, 0.376607, 0.338224, 0.303754, 0.487384, -0.350529, 0.000000, 0.000000], [-0.351157, 0.111822, -0.488970, 0.251586, 0.578274, -0.412451, 0.044909, -0.235084, 0.000000, 0.000000], [-0.171055, 0.234644, 0.332540, 0.595454, -0.270812, -0.375969, 0.318112, 0.366943, 0.000000, 0.000000], [0.087347, -0.096792, -0.515763, -0.320861, -0.277176, -0.096891, 0.704944, 0.175723, 0.000000, 0.000000], [-0.460178, -0.234104, 0.556662, -0.420618, 0.322988, -0.071856, 0.368059, -0.041068, 0.000000, 0.000000], [0.377725, 0.597399, 0.199475, -0.376162, -0.017885, -0.482910, 0.009452, -0.292470, 0.000000, 0.000000], [0.438926, -0.191128, 0.025803, -0.097136, 0.482877, -0.236734, -0.117288, 0.676567, 0.000000, 0.000000]]
fourier: [[10.430560, 12.213976, 12.720304, 12.720706, 53.166609], [25.960038, 28.186901, 28.972583, 29.217580, 51.229227], [16.422537, 18.307813, 19.385217, 20.375223, 20.677172], [8.900414, 9.766947, 10.007445, 10.086118, 25.221473], [4.594404, 4.829745, 4.916279, 4.969009, 32.864655], [18.974622, 22.230029, 25.323628, 25.736644, 26.372644], [16.391233, 16.550454, 20.341052, 21.347029, 22.810992], [23.087455, 23.984727, 25.282072, 25.426265, 52.805470]]
### 12
mean: [-0.728491]
std: [1.456179]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.110752, 25.892661, 27.715167, 28.240024, 65.564198]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
mean: [-0.318687, 0.927733, 0.101881, 2.016953, -0.535748, 2.997614, 1.643875, 0.274022]
std: [1.033835, 1.418192, 1.048312, 1.827977, 1.153198, 1.823915, 1.554018, 0.592927]
pca: [[-0.162155, 0.104499, -0.063953, 0.700921, -0.451443, 0.262722, 0.383832, -0.217380, 0.000000, 0.000000], [0.269669, -0.588042, -0.164801, -0.020932, -0.338500, -0.038066, 0.257846, 0.609403, 0.000000, 0.000000], [-0.047155, 0.076940, -0.562289, 0.360876, 0.500087, 0.337904, -0.236060, 0.354212, 0.000000, 0.000000], [0.663313, 0.213456, -0.194046, -0.282290, -0.224516, 0.544511, -0.054574, -0.217330, 0.000000, 0.000000], [-0.284616, -0.145455, 0.578214, -0.036715, -0.079865, 0.632370, -0.296136, 0.261132, 0.000000, 0.000000], [0.581468, -0.250241, 0.431413, 0.502141, 0.333427, -0.124643, -0.129064, -0.132833, 0.000000, 0.000000], [0.199056, 0.709508, 0.245106, 0.112014, -0.146670, -0.208490, 0.017324, 0.564863, 0.000000, 0.000000], [0.006448, 0.067997, 0.185480, -0.179755, 0.491994, 0.244867, 0.789197, 0.061406, 0.000000, 0.000000]]
fourier: [[14.762627, 17.465236, 20.519039, 21.474138, 28.681827], [21.254401, 21.287478, 24.459739, 28.351834, 83.496020], [17.639757, 17.778693, 19.434512, 21.064182, 21.828691], [28.084240, 30.188553, 31.274944, 32.095566, 181.525731], [17.575590, 17.597944, 18.143869, 19.823314, 48.217304], [27.890036, 29.127845, 30.658983, 37.642138, 269.785277], [25.108662, 27.674420, 28.186443, 28.746055, 147.948767], [9.457227, 10.021764, 10.215105, 11.142979, 24.661962]]
### 2
mean: [0.715844, -0.086189, 0.663272, 3.028589, -1.937919, 1.022782, -0.227408, 2.258713]
std: [0.920450, 0.388927, 1.258804, 2.047045, 1.284703, 1.112006, 0.542987, 1.488542]
pca: [[0.299850, -0.068674, -0.118809, -0.462822, 0.018744, -0.474937, 0.092964, 0.665203, 0.000000, 0.000000], [-0.023708, -0.142399, -0.267009, 0.440921, 0.633071, 0.234995, -0.252233, 0.440264, 0.000000, 0.000000], [-0.076428, 0.718277, -0.086040, -0.501252, 0.300660, 0.283647, -0.218566, -0.030926, 0.000000, 0.000000], [0.682078, 0.172445, -0.032113, 0.212455, -0.438584, 0.251445, -0.438336, 0.105570, 0.000000, 0.000000], [-0.426455, -0.100396, 0.146452, -0.118505, -0.424495, 0.557265, 0.098771, 0.521602, 0.000000, 0.000000], [-0.048018, 0.637267, 0.106906, 0.516379, -0.089051, -0.219928, 0.441491, 0.249592, 0.000000, 0.000000], [-0.112318, 0.018197, 0.835251, 0.042438, 0.139731, -0.226983, -0.447484, 0.127755, 0.000000, 0.000000], [0.491601, -0.113259, 0.419089, -0.111809, 0.329344, 0.406323, 0.531897, -0.029740, 0.000000, 0.000000]]
fourier: [[14.190794, 14.557842, 16.927581, 19.028800, 64.425974], [5.601012, 6.087261, 6.787335, 7.172915, 7.757024], [19.812493, 21.413782, 22.665119, 25.620252, 59.694488], [32.389936, 32.987445, 35.497978, 35.638593, 272.572998], [21.149368, 21.176294, 22.546911, 23.179370, 174.412674], [16.499756, 19.382221, 20.862429, 21.785410, 92.050357], [10.576020, 10.853722, 11.499091, 12.945303, 20.466698], [24.011925, 25.419132, 26.709352, 27.290921, 203.284116]]
### 4
mean: [2.313560, 0.048024, -0.012930, 0.844618, -1.576176, -0.740600, -1.731065, -0.036716]
std: [1.930846, 0.511813, 0.393896, 1.142837, 0.892220, 0.511969, 1.213873, 1.059317]
pca: [[0.728239, 0.046981, -0.032878, 0.280986, 0.411145, 0.342631, 0.260936, 0.181391, 0.000000, 0.000000], [-0.176941, 0.115090, -0.359910, 0.320153, -0.176528, -0.038078, 0.710704, -0.430930, 0.000000, 0.000000], [0.139439, -0.038185, 0.085184, 0.702009, -0.422330, -0.407188, -0.157872, 0.331568, 0.000000, 0.000000], [-0.201081, 0.713516, 0.528062, 0.100610, -0.147905, 0.345492, 0.099780, 0.101458, 0.000000, 0.000000], [-0.307242, -0.238148, 0.390234, 0.468099, 0.561622, -0.028149, -0.141150, -0.375970, 0.000000, 0.000000], [-0.094652, -0.300140, 0.457055, -0.229398, 0.098123, -0.317680, 0.608588, 0.398128, 0.000000, 0.000000], [-0.401899, -0.414027, -0.174646, 0.196271, -0.128294, 0.648174, 0.035660, 0.400218, 0.000000, 0.000000], [-0.337052, 0.394673, -0.437716, 0.073122, 0.507988, -0.272296, -0.018913, 0.448477, 0.000000, 0.000000]]
fourier: [[32.242126, 33.087251, 34.873065, 36.064698, 208.220406], [7.351767, 8.210979, 8.392309, 8.815696, 9.485029], [5.656710, 6.369712, 6.690620, 7.128784, 7.459938], [19.603060, 19.693002, 19.883728, 20.275226, 76.015613], [14.028868, 14.755584, 15.222138, 16.619472, 141.855890], [8.166360, 9.213640, 9.599117, 10.664900, 66.654021], [19.621480, 21.087606, 22.098471, 22.900131, 155.795827], [14.263585, 17.540632, 17.854886, 18.399229, 19.462121]]
### 6
mean: [0.035170, -0.631634, -0.030599, -0.668965, -0.668620, 0.782497, -0.908024, 0.761074]
std: [0.885116, 0.314387, 1.587332, 0.280958, 1.143520, 0.284820, 0.674444, 1.105694]
pca: [[0.346996, 0.314896, 0.421613, -0.179133, -0.515125, 0.274232, -0.476786, 0.052021, 0.000000, 0.000000], [0.118377, 0.133422, 0.547291, -0.234628, 0.742976, 0.224204, 0.080246, 0.069914, 0.000000, 0.000000], [0.633034, 0.188678, -0.425881, 0.145169, 0.114069, 0.135402, 0.168723, 0.549006, 0.000000, 0.000000], [-0.051142, -0.470585, -0.300733, -0.577448, -0.046553, 0.591450, -0.005898, 0.005714, 0.000000, 0.000000], [0.450334, -0.377808, -0.032799, 0.462687, 0.189511, 0.190734, -0.278373, -0.538070, 0.000000, 0.000000], [-0.034722, 0.523332, -0.111498, 0.074240, -0.122911, 0.429389, 0.520587, -0.486294, 0.000000, 0.000000], [0.251674, -0.451304, 0.465735, 0.070573, -0.340103, -0.053184, 0.618335, 0.101282, 0.000000, 0.000000], [-0.441459, -0.075486, 0.143122, 0.577728, -0.027611, 0.531790, -0.083026, 0.393327, 0.000000, 0.000000]]
fourier: [[11.988307, 14.469839, 14.822584, 14.899418, 15.213508], [4.897355, 4.905238, 4.932520, 5.317861, 56.847058], [23.293516, 26.076909, 27.041557, 28.504439, 28.763323], [5.099067, 5.240197, 5.741467, 5.857613, 60.206870], [18.708418, 19.083702, 20.460196, 21.668371, 60.175842], [4.109737, 5.015347, 5.484684, 6.180623, 70.424692], [10.769345, 11.391197, 11.513212, 12.646941, 81.722128], [18.000863, 18.442862, 19.905358, 20.162292, 68.496651]]
### 8
mean: [-0.310195, 0.677006, 0.052029, -0.376055, 0.108272, 0.231487, 0.296277, -0.178151]
std: [0.560241, 1.168287, 1.252128, 0.215244, 1.066386, 0.419967, 1.289678, 0.213899]
pca: [[-0.221797, 0.271706, -0.505754, -0.116314, 0.322102, -0.329723, 0.267817, 0.568747, 0.000000, 0.000000], [-0.464962, -0.468215, -0.012975, 0.321346, 0.300721, 0.529943, 0.282476, 0.100439, 0.000000, 0.000000], [-0.499587, 0.423632, -0.250655, 0.401285, 0.040712, -0.124552, -0.207379, -0.535644, 0.000000, 0.000000], [0.048286, 0.530696, 0.367443, 0.435950, -0.343547, 0.194861, 0.368086, 0.315406, 0.000000, 0.000000], [0.426955, -0.242500, -0.085276, 0.451217, 0.186948, -0.430134, 0.494379, -0.289239, 0.000000, 0.000000], [-0.160562, -0.381733, 0.034194, 0.446765, -0.334448, -0.401870, -0.437323, 0.403886, 0.000000, 0.000000], [0.517427, 0.157499, -0.317703, 0.357451, 0.327149, 0.387157, -0.441459, 0.164179, 0.000000, 0.000000], [-0.083044, 0.128513, 0.660929, 0.034050, 0.657498, -0.246078, -0.198595, 0.079401, 0.000000, 0.000000]]
fourier: [[8.686386, 9.444367, 9.838872, 10.941877, 27.917508], [19.221761, 20.676809, 20.939977, 21.181565, 60.930584], [17.111394, 18.165080, 21.212646, 22.132070, 24.090739], [3.562499, 3.640230, 3.676569, 3.980346, 33.844978], [14.673709, 14.969163, 18.580198, 19.319165, 20.507251], [6.776048, 7.253489, 7.608359, 7.648198, 20.833794], [20.085357, 23.067943, 23.342682, 23.982861, 26.664957], [3.252646, 3.380338, 3.926893, 3.984899, 16.033629]]
### 10
mean: [-0.590740, 0.569214, -0.182473, -0.280239, -0.365163, -0.032381, 0.150367, 0.586727]
std: [0.634351, 1.558479, 1.079841, 0.533577, 0.273218, 1.416657, 1.182705, 1.349997]
pca: [[-0.187784, 0.686054, -0.067184, -0.097479, 0.251449, 0.540804, 0.113954, 0.333722, 0.000000, 0.000000], [0.507386, -0.064651, 0.171671, 0.376607, 0.338224, 0.303754, 0.487384, -0.350529, 0.000000, 0.000000], [-0.351157, 0.111822, -0.488970, 0.251586, 0.578274, -0.412451, 0.044909, -0.235084, 0.000000, 0.000000], [-0.171055, 0.234644, 0.332540, 0.595454, -0.270812, -0.375969, 0.318112, 0.366943, 0.000000, 0.000000], [0.087347, -0.096792, -0.515763, -0.320861, -0.277176, -0.096891, 0.704944, 0.175723, 0.000000, 0.000000], [-0.460178, -0.234104, 0.556662, -0.420618, 0.322988, -0.071856, 0.368059, -0.041068, 0.000000, 0.000000], [0.377725, 0.597399, 0.199475, -0.376162, -0.017885, -0.482910, 0.009452, -0.292470, 0.000000, 0.000000], [0.438926, -0.191128, 0.025803, -0.097136, 0.482877, -0.236734, -0.117288, 0.676567, 0.000000, 0.000000]]
fourier: [[10.430560, 12.213976, 12.720304, 12.720706, 53.166609], [25.960038, 28.186901, 28.972583, 29.217580, 51.229227], [16.422537, 18.307813, 19.385217, 20.375223, 20.677172], [8.900414, 9.766947, 10.007445, 10.086118, 25.221473], [4.594404, 4.829745, 4.916279, 4.969009, 32.864655], [18.974622, 22.230029, 25.323628, 25.736644, 26.372644], [16.391233, 16.550454, 20.341052, 21.347029, 22.810992], [23.087455, 23.984727, 25.282072, 25.426265, 52.805470]]
### 12
mean: [-0.728491]
std: [1.456179]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.110752, 25.892661, 27.715167, 28.240024, 65.564198]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": 0.7158441543579102, "std": 0.9204498529434204, "pca": [0.2998501658439636, -0.06867379695177078, -0.11880888044834137, -0.46282222867012024, 0.01874432899057865, -0.47493690252304077, 0.09296372532844543, 0.6652030944824219, 0.0, 0.0], "fourier": [14.190794460354697, 14.55784173391666, 16.927580736882494, 19.028799926463968, 64.42597445845604]}, "1": {"mean": -0.0861891582608223, "std": 0.38892683386802673, "pca": [-0.023707859218120575, -0.14239853620529175, -0.26700910925865173, 0.44092145562171936, 0.6330705285072327, 0.23499540984630585, -0.25223296880722046, 0.4402640163898468, 0.0, 0.0], "fourier": [5.601012332672637, 6.087261377086481, 6.787334867421552, 7.172915100529993, 7.757024470716715]}, "2": {"mean": 0.6632720828056335, "std": 1.2588036060333252, "pca": [-0.0764281153678894, 0.7182772159576416, -0.08604040741920471, -0.501252293586731, 0.3006601929664612, 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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": [[-0.345685, 0.211418, 0.222202, 0.023417, -0.375702], [0.568645, 0.152865, -0.362454, 0.323251, -0.156771], [-0.373301, 0.550387, -0.221123, -0.255875, 0.213886], [0.090632, -0.023935, 0.001482, 0.609669, 0.605017], [0.214282, -0.331573, 0.231321, -0.187488, -0.418263], [0.445338, 0.330634, 0.333876, 0.235519, 0.195411], [-0.476311, -0.200805, 0.579417, 0.21779, 0.339982], [0.040639, -0.055735, 0.072996, -0.187995, 0.207306]], "network.0.bias": [-0.324759, 0.198815, 0.310323, -0.108905, 0.236501, 0.397436, 0.505841, 0.319997], "network.2.weight": [[0.041824, -0.331308, -0.013765, 0.300097, -0.260056, 0.135746, 0.15801, 0.293664], [0.112981, -0.198047, -0.037572, -0.189779, 0.073564, 0.109885, 0.103562, -0.31158], [-0.704737, 0.14144, -0.422306, 0.042282, 0.136521, 0.399243, -0.548556, 0.201819], [-0.050592, -0.162423, -0.053431, 0.601983, 0.387542, 0.342672, 0.607673, -0.154478], [-0.103022, 0.29158, 0.160556, -0.284774, 0.145687, -0.372733, -0.322139, 0.080666], [-0.231599, 0.627048, -0.400206, -0.074988, 0.12117, 0.181433, -0.102032, -0.112541], [0.289209, 0.096647, 0.348473, 0.024687, -0.003552, -0.065202, -0.221241, -0.312585], [0.207729, -0.283796, 0.428341, 0.379225, -0.097966, 0.236649, 0.469238, -0.029296]], "network.2.bias": [-0.266368, 0.067993, 0.360413, 0.005442, -0.104757, 0.362748, 0.108702, 0.145338], "network.4.weight": [[0.489635, -0.322165, -0.360108, 0.334064, -0.091068, 0.005619, 0.345419, 0.512766], [-0.090951, -0.113351, -0.078501, 0.062508, -0.465567, 0.226024, -0.454085, -0.303634], [-0.208286, -0.20836, -0.246393, 0.092842, 0.0374, 0.113326, 0.077356, 0.20405], [-0.396572, -0.216749, 0.644948, -0.101193, -0.621812, 0.369086, -0.510842, 0.253167], [-0.186424, -0.02911, -0.178474, -0.445523, 0.103342, 0.223603, 0.108199, 0.134727], [-0.005781, 0.399282, 0.015277, -0.239729, 0.271794, -0.190357, 0.612538, 0.104823], [-0.007912, 0.310334, -0.355909, -0.493692, -0.285376, 0.228787, -0.407381, -0.117273], [-0.199666, -0.443457, 0.267249, 0.16233, -0.290208, 0.191229, -0.618061, -0.577703]], "network.4.bias": [0.100661, 0.408032, -0.522523, 0.017547, -0.49185, -0.073396, 0.022305, 0.506782], "network.6.weight": [[-0.254868, -0.314871, 0.056073, 0.463225, -0.45036, -0.162774, -0.577983, 0.155006], [-0.165423, -0.232138, 0.443246, 0.280847, -0.090718, -0.152714, 0.358485, -0.14157], [-0.431409, 0.297753, -0.432285, 0.426234, -0.018032, -0.175188, -0.628024, 0.502123], [-0.102386, -0.285367, 0.335886, -0.277336, 0.339716, 0.353224, 0.074091, 0.125476], [-0.437852, 0.183706, -0.394938, 0.218903, -0.339116, -0.192285, -0.005981, 0.061099], [0.166671, -0.084896, -0.044064, 0.106714, -0.024607, -0.367431, -0.389027, 0.212315], [-0.360828, -0.23042, -0.066683, 0.156521, 0.036826, 0.153775, 0.020838, -0.153139], [0.353641, -0.069646, 0.00733, -0.308102, -0.015062, -0.432881, 0.222983, -0.337484]], "network.6.bias": [0.140687, -0.430194, 0.393957, -0.159074, 0.083903, 0.196541, -0.108728, 0.265355], "network.8.weight": [[-0.272471, 0.235239, -0.300155, -0.141854, -0.259954, 0.121396, -0.084069, -0.020973], [-0.453369, -0.407012, -0.366513, -0.38757, -0.311566, 0.063628, -0.04273, 0.569036], [-0.578213, -0.447374, -0.690155, 0.03361, -0.202934, 0.121714, -0.073216, 0.107868], [-0.059739, -0.259824, -0.165189, 0.034522, 0.425152, -0.039213, -0.031308, -0.307384], [0.192736, 0.017477, 0.644436, -0.254041, 0.291278, 0.181299, 0.061715, -0.262662], [-0.229041, -0.434478, -0.037563, 0.262338, -0.051307, 0.101964, -0.024806, 0.285853], [0.338048, -0.196584, 0.608999, -0.273689, 0.323485, 0.202389, -0.008235, -0.535973], [-0.132369, -0.024259, -0.051215, -0.022238, -0.075429, -0.219289, 0.206014, 0.072933]], "network.8.bias": [-0.121196, 0.361072, 0.33325, -0.066046, -0.218997, -0.019401, 0.12768, -0.021099], "network.10.weight": [[-0.356511, -0.570704, -0.30188, 0.025229, -0.062002, -0.260291, 0.123903, 0.31135], [-0.367377, 0.730781, 0.609468, -0.211232, -0.319679, -0.042368, -0.645856, -0.183109], [-0.193909, -0.540997, -0.542858, -0.251676, 0.242983, 0.185544, 0.392734, -0.049012], [0.005112, -0.404271, -0.207115, -0.417824, 0.380886, -0.180022, -0.130143, -0.030817], [-0.139493, 0.1618, -0.06856, 0.415525, 0.059846, 0.376847, -0.15976, 0.012487], [0.002605, -0.588296, -0.024286, -0.077237, 0.340467, -0.247934, 0.647584, -0.120396], [0.001181, 0.073801, 0.459437, 0.280045, -0.522085, 0.065954, -0.487641, 0.154], [0.13805, 0.519959, 0.630924, -0.166369, -0.498622, 0.427779, -0.290862, 0.090665]], "network.10.bias": [0.018012, 0.110465, 0.123627, 0.064727, -0.445871, 0.072795, 0.35349, 0.123265], "network.12.weight": [[0.41576, -0.267507, 0.173663, 0.139418, -0.118721, 0.599009, -0.375775, -0.493136]], "network.12.bias": [-0.186646]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6771003603935242, "train_acc": 0.585, "val_loss": 0.7436484694480896, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.674622505903244, "train_acc": 0.585, "val_loss": 0.6622788906097412, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5439956188201904, "train_acc": 0.635, "val_loss": 0.24007366597652435, "val_acc": 0.96}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5277890861034393, "train_acc": 0.855, "val_loss": 0.3305446207523346, "val_acc": 0.96}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.354401558637619, "train_acc": 0.925, "val_loss": 0.3749430775642395, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3679973930120468, "train_acc": 0.875, "val_loss": 0.29048874974250793, "val_acc": 0.94}], "summary": {"total_epochs": 6, "degraded_epochs": 2, "improved_epochs": 4, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7436484694480896, "final_val_loss": 0.6622788906097412, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.24007366597652435, "final_val_loss": 0.29048874974250793, "initial_val_acc": 0.96, "final_val_acc": 0.94, "best_val_acc": 0.96, "best_epoch": 2}, "improvement": 0.49999999999999994, "first_improvement_epoch": 1}}
|
9,767
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.58, "improved_accuracy": 0.84, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9527, "learning_rate": 0.08067538865517516, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.6.weight": [
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"network.8.weight": [
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"network.8.bias": [
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"network.10.weight": [
[
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0.140543,
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]
],
"network.10.bias": [
0.204767
]
}
## Activation Signature
### 0
mean: [-1.729213, 1.951185, 2.017767, 0.375645, 0.166610, 1.180832, 1.006158, -0.121561]
std: [1.331222, 1.791460, 1.701388, 1.270146, 1.555897, 1.292010, 1.421172, 1.809073]
pca: [[-0.284025, -0.172045, -0.517123, 0.146708, 0.469399, 0.505805, -0.336787, -0.105785, 0.000000, 0.000000], [0.016656, 0.681537, 0.051599, 0.684723, -0.113562, 0.076834, -0.134624, -0.163702, 0.000000, 0.000000], [0.472631, 0.289487, 0.300632, -0.429858, 0.171192, 0.555808, -0.034114, -0.279761, 0.000000, 0.000000], [0.354418, 0.101315, -0.366613, 0.170585, 0.277801, 0.094878, 0.716160, 0.318683, 0.000000, 0.000000], [-0.227841, 0.525706, -0.221346, -0.420404, -0.123998, 0.051817, -0.209341, 0.619761, 0.000000, 0.000000], [-0.115147, -0.165687, 0.645726, 0.272407, 0.350601, 0.208691, -0.060465, 0.545887, 0.000000, 0.000000], [0.468679, 0.080848, -0.088159, -0.009362, 0.512241, -0.552049, -0.441018, 0.065560, 0.000000, 0.000000], [0.534069, -0.318568, -0.177223, 0.211471, -0.509511, 0.263323, -0.335299, 0.309502, 0.000000, 0.000000]]
fourier: [[20.113705, 23.544076, 24.851477, 27.015171, 155.629169], [26.805953, 28.307667, 28.778759, 30.749641, 175.606678], [25.621810, 28.646850, 31.022618, 31.494560, 181.599083], [21.278850, 22.602477, 23.279155, 23.672247, 33.808057], [22.694434, 22.717438, 23.800676, 26.773901, 32.018836], [21.423946, 22.602153, 22.870297, 24.690044, 106.274893], [22.054505, 24.436321, 24.897798, 25.123292, 90.554180], [22.476087, 23.758996, 25.957589, 26.879468, 40.983133]]
### 2
mean: [1.506128, -2.534276, 2.497367, 1.012711, -1.192311, -2.453687, -0.258442, -3.561072]
std: [1.423037, 1.707797, 1.822540, 1.410351, 1.385522, 1.216990, 1.100426, 1.805070]
pca: [[-0.171734, -0.510270, 0.348927, -0.341963, 0.117877, 0.412236, -0.336666, -0.417451, 0.000000, 0.000000], [-0.496852, -0.004443, -0.430420, 0.385251, -0.300138, 0.414824, -0.365429, 0.154077, 0.000000, 0.000000], [0.542797, 0.078359, 0.227268, 0.596645, 0.025087, 0.497572, 0.086734, -0.189383, 0.000000, 0.000000], [-0.184625, -0.521408, 0.063571, 0.272065, -0.492033, -0.226774, 0.516543, -0.235897, 0.000000, 0.000000], [-0.312127, 0.156742, 0.742064, 0.044470, -0.153472, 0.119137, 0.080191, 0.530277, 0.000000, 0.000000], [-0.338172, 0.143066, 0.239368, 0.494134, 0.368503, -0.462989, -0.284670, -0.364028, 0.000000, 0.000000], [-0.242883, -0.293321, -0.170555, 0.130521, 0.701720, 0.216710, 0.450610, 0.257724, 0.000000, 0.000000], [-0.352357, 0.574913, -0.015850, -0.203608, -0.039197, 0.288902, 0.433891, -0.479948, 0.000000, 0.000000]]
fourier: [[22.408664, 23.167825, 24.374440, 26.390341, 135.551483], [25.364287, 26.756268, 34.215866, 39.966249, 228.084786], [27.739164, 28.328891, 33.418107, 41.320287, 224.763046], [22.206894, 22.300541, 22.591621, 25.027396, 91.143972], [23.330915, 24.818608, 25.700041, 27.192404, 107.308005], [19.447061, 20.431155, 22.579022, 23.830368, 220.831803], [16.862652, 17.061624, 17.639912, 19.446930, 23.259754], [29.359565, 30.170043, 30.718985, 32.064684, 320.496458]]
### 4
mean: [-1.354038, 1.306405, -2.182260, 1.313163, 1.654523, -1.207490, 0.775987, 1.786168]
std: [0.473437, 1.352155, 0.905981, 1.219899, 0.989840, 0.596522, 0.569616, 1.500861]
pca: [[0.096712, 0.243076, 0.809203, 0.213560, -0.324026, -0.314983, -0.066548, 0.150027, 0.000000, 0.000000], [-0.510428, -0.350670, 0.458044, 0.162128, 0.295580, 0.522285, 0.142189, -0.006141, 0.000000, 0.000000], [-0.062135, 0.583940, -0.195325, 0.339704, -0.143121, 0.536287, -0.196403, 0.393626, 0.000000, 0.000000], [-0.459324, -0.323341, -0.261909, 0.186920, -0.419161, -0.313441, 0.228736, 0.504654, 0.000000, 0.000000], [0.350872, -0.324208, -0.113456, 0.812100, 0.238445, -0.119303, -0.160187, -0.051492, 0.000000, 0.000000], [0.192842, 0.241410, 0.039011, -0.013628, 0.547030, -0.155350, 0.629458, 0.428056, 0.000000, 0.000000], [0.148006, -0.288033, 0.095595, -0.324510, 0.266448, -0.014664, -0.591082, 0.600083, 0.000000, 0.000000], [0.577119, -0.355045, 0.071455, -0.113011, -0.429380, 0.451191, 0.336458, 0.147834, 0.000000, 0.000000]]
fourier: [[7.241174, 8.257170, 9.346853, 10.263271, 121.863463], [21.390471, 22.384002, 22.559337, 23.831294, 117.576449], [15.284093, 16.172724, 16.231260, 17.284066, 196.403422], [18.624178, 18.875915, 20.318066, 21.598263, 118.184679], [14.697170, 14.965700, 17.800055, 22.406887, 148.907045], [9.822139, 9.956668, 10.823487, 10.843927, 108.674079], [8.520435, 9.297877, 10.864786, 12.933618, 69.838795], [23.344991, 23.647606, 25.601887, 32.189672, 160.755139]]
### 6
mean: [2.417074, -2.066138, -2.094579, -1.749802, 2.404023, 1.436252, -2.053243, -1.823025]
std: [2.164321, 0.691174, 1.075033, 0.466495, 1.391899, 2.058402, 0.919080, 0.727084]
pca: [[0.647756, -0.195644, 0.189980, -0.048089, 0.300112, 0.040059, -0.402254, 0.500251, 0.000000, 0.000000], [-0.089447, 0.348868, 0.309993, -0.355451, 0.153992, 0.463478, 0.512500, 0.382972, 0.000000, 0.000000], [0.150859, 0.532370, -0.089343, 0.395923, -0.030906, -0.578079, 0.257852, 0.357027, 0.000000, 0.000000], [-0.023286, 0.255132, 0.669997, -0.188886, -0.547474, -0.171551, -0.339467, -0.073456, 0.000000, 0.000000], [-0.329115, -0.486589, 0.366605, 0.589061, -0.138798, 0.102139, 0.149477, 0.348542, 0.000000, 0.000000], [0.623082, -0.070705, 0.250758, 0.259666, -0.102259, 0.141896, 0.453762, -0.489870, 0.000000, 0.000000], [-0.200611, 0.356100, 0.326802, 0.363983, 0.631950, 0.119853, -0.288608, -0.310877, 0.000000, 0.000000], [0.110985, 0.350612, -0.326887, 0.363327, -0.395542, 0.612410, -0.286833, 0.110089, 0.000000, 0.000000]]
fourier: [[34.542856, 34.858967, 34.864150, 44.662653, 217.536661], [11.689322, 12.397655, 12.483521, 13.358566, 185.952392], [16.537168, 17.391774, 19.085184, 22.196463, 188.512136], [7.192251, 7.367478, 7.499960, 9.528878, 157.482215], [20.828776, 23.672735, 23.890736, 25.086146, 216.362082], [31.970995, 33.813452, 33.892112, 40.208236, 129.262635], [13.239626, 14.536968, 17.450862, 20.704472, 184.791911], [11.143961, 11.910656, 12.818551, 14.756311, 164.072273]]
### 8
mean: [-1.656929, 0.601775, 0.359252, -2.910043, -1.535316, -1.070795, -1.870609, 2.083550]
std: [0.678538, 1.303839, 0.506831, 1.481179, 0.255367, 0.443463, 1.685808, 2.723837]
pca: [[0.108233, 0.597241, 0.019781, -0.276141, -0.191932, -0.423588, -0.363506, 0.454470, 0.000000, 0.000000], [0.344322, 0.042982, 0.623068, 0.325535, -0.375286, 0.235505, -0.380270, -0.210953, 0.000000, 0.000000], [0.133142, -0.046519, 0.510798, 0.317042, 0.521357, -0.259415, 0.311414, 0.427307, 0.000000, 0.000000], [-0.365548, 0.585971, -0.165741, 0.595892, 0.236742, 0.018831, -0.096522, -0.273382, 0.000000, 0.000000], [0.002883, 0.281556, -0.058924, 0.026791, -0.155336, 0.741530, 0.291979, 0.507228, 0.000000, 0.000000], [0.073933, 0.379358, 0.237243, -0.209065, -0.281429, -0.186049, 0.697330, -0.387999, 0.000000, 0.000000], [-0.444499, 0.129715, 0.464749, -0.534396, 0.379288, 0.274115, -0.202091, -0.155512, 0.000000, 0.000000], [0.717860, 0.236470, -0.217399, -0.179345, 0.497264, 0.194524, -0.067833, -0.244172, 0.000000, 0.000000]]
fourier: [[10.316550, 11.561086, 12.280885, 12.325033, 149.123606], [20.472716, 20.698238, 20.985339, 25.497357, 54.159721], [7.593169, 7.779753, 7.974570, 10.329590, 32.332680], [22.041963, 23.127607, 24.561620, 32.347397, 261.903874], [3.729446, 3.740886, 4.212328, 5.387536, 138.178389], [6.783155, 7.510744, 7.740166, 7.913046, 96.371554], [26.339960, 26.439644, 26.889080, 34.682134, 168.354837], [42.714001, 44.486062, 44.628426, 52.275671, 187.519476]]
### 10
mean: [-1.773727]
std: [2.241182]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.091378, 34.750433, 35.010983, 45.007342, 159.635399]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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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.bias": [
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]
}
## Activation Signature
### 0
mean: [-1.729213, 1.951185, 2.017767, 0.375645, 0.166610, 1.180832, 1.006158, -0.121561]
std: [1.331222, 1.791460, 1.701388, 1.270146, 1.555897, 1.292010, 1.421172, 1.809073]
pca: [[-0.284025, -0.172045, -0.517123, 0.146708, 0.469399, 0.505805, -0.336787, -0.105785, 0.000000, 0.000000], [0.016656, 0.681537, 0.051599, 0.684723, -0.113562, 0.076834, -0.134624, -0.163702, 0.000000, 0.000000], [0.472631, 0.289487, 0.300632, -0.429858, 0.171192, 0.555808, -0.034114, -0.279761, 0.000000, 0.000000], [0.354418, 0.101315, -0.366613, 0.170585, 0.277801, 0.094878, 0.716160, 0.318683, 0.000000, 0.000000], [-0.227841, 0.525706, -0.221346, -0.420404, -0.123998, 0.051817, -0.209341, 0.619761, 0.000000, 0.000000], [-0.115147, -0.165687, 0.645726, 0.272407, 0.350601, 0.208691, -0.060465, 0.545887, 0.000000, 0.000000], [0.468679, 0.080848, -0.088159, -0.009362, 0.512241, -0.552049, -0.441018, 0.065560, 0.000000, 0.000000], [0.534069, -0.318568, -0.177223, 0.211471, -0.509511, 0.263323, -0.335299, 0.309502, 0.000000, 0.000000]]
fourier: [[20.113705, 23.544076, 24.851477, 27.015171, 155.629169], [26.805953, 28.307667, 28.778759, 30.749641, 175.606678], [25.621810, 28.646850, 31.022618, 31.494560, 181.599083], [21.278850, 22.602477, 23.279155, 23.672247, 33.808057], [22.694434, 22.717438, 23.800676, 26.773901, 32.018836], [21.423946, 22.602153, 22.870297, 24.690044, 106.274893], [22.054505, 24.436321, 24.897798, 25.123292, 90.554180], [22.476087, 23.758996, 25.957589, 26.879468, 40.983133]]
### 2
mean: [1.506128, -2.534276, 2.497367, 1.012711, -1.192311, -2.453687, -0.258442, -3.561072]
std: [1.423037, 1.707797, 1.822540, 1.410351, 1.385522, 1.216990, 1.100426, 1.805070]
pca: [[-0.171734, -0.510270, 0.348927, -0.341963, 0.117877, 0.412236, -0.336666, -0.417451, 0.000000, 0.000000], [-0.496852, -0.004443, -0.430420, 0.385251, -0.300138, 0.414824, -0.365429, 0.154077, 0.000000, 0.000000], [0.542797, 0.078359, 0.227268, 0.596645, 0.025087, 0.497572, 0.086734, -0.189383, 0.000000, 0.000000], [-0.184625, -0.521408, 0.063571, 0.272065, -0.492033, -0.226774, 0.516543, -0.235897, 0.000000, 0.000000], [-0.312127, 0.156742, 0.742064, 0.044470, -0.153472, 0.119137, 0.080191, 0.530277, 0.000000, 0.000000], [-0.338172, 0.143066, 0.239368, 0.494134, 0.368503, -0.462989, -0.284670, -0.364028, 0.000000, 0.000000], [-0.242883, -0.293321, -0.170555, 0.130521, 0.701720, 0.216710, 0.450610, 0.257724, 0.000000, 0.000000], [-0.352357, 0.574913, -0.015850, -0.203608, -0.039197, 0.288902, 0.433891, -0.479948, 0.000000, 0.000000]]
fourier: [[22.408664, 23.167825, 24.374440, 26.390341, 135.551483], [25.364287, 26.756268, 34.215866, 39.966249, 228.084786], [27.739164, 28.328891, 33.418107, 41.320287, 224.763046], [22.206894, 22.300541, 22.591621, 25.027396, 91.143972], [23.330915, 24.818608, 25.700041, 27.192404, 107.308005], [19.447061, 20.431155, 22.579022, 23.830368, 220.831803], [16.862652, 17.061624, 17.639912, 19.446930, 23.259754], [29.359565, 30.170043, 30.718985, 32.064684, 320.496458]]
### 4
mean: [-1.354038, 1.306405, -2.182260, 1.313163, 1.654523, -1.207490, 0.775987, 1.786168]
std: [0.473437, 1.352155, 0.905981, 1.219899, 0.989840, 0.596522, 0.569616, 1.500861]
pca: [[0.096712, 0.243076, 0.809203, 0.213560, -0.324026, -0.314983, -0.066548, 0.150027, 0.000000, 0.000000], [-0.510428, -0.350670, 0.458044, 0.162128, 0.295580, 0.522285, 0.142189, -0.006141, 0.000000, 0.000000], [-0.062135, 0.583940, -0.195325, 0.339704, -0.143121, 0.536287, -0.196403, 0.393626, 0.000000, 0.000000], [-0.459324, -0.323341, -0.261909, 0.186920, -0.419161, -0.313441, 0.228736, 0.504654, 0.000000, 0.000000], [0.350872, -0.324208, -0.113456, 0.812100, 0.238445, -0.119303, -0.160187, -0.051492, 0.000000, 0.000000], [0.192842, 0.241410, 0.039011, -0.013628, 0.547030, -0.155350, 0.629458, 0.428056, 0.000000, 0.000000], [0.148006, -0.288033, 0.095595, -0.324510, 0.266448, -0.014664, -0.591082, 0.600083, 0.000000, 0.000000], [0.577119, -0.355045, 0.071455, -0.113011, -0.429380, 0.451191, 0.336458, 0.147834, 0.000000, 0.000000]]
fourier: [[7.241174, 8.257170, 9.346853, 10.263271, 121.863463], [21.390471, 22.384002, 22.559337, 23.831294, 117.576449], [15.284093, 16.172724, 16.231260, 17.284066, 196.403422], [18.624178, 18.875915, 20.318066, 21.598263, 118.184679], [14.697170, 14.965700, 17.800055, 22.406887, 148.907045], [9.822139, 9.956668, 10.823487, 10.843927, 108.674079], [8.520435, 9.297877, 10.864786, 12.933618, 69.838795], [23.344991, 23.647606, 25.601887, 32.189672, 160.755139]]
### 6
mean: [2.417074, -2.066138, -2.094579, -1.749802, 2.404023, 1.436252, -2.053243, -1.823025]
std: [2.164321, 0.691174, 1.075033, 0.466495, 1.391899, 2.058402, 0.919080, 0.727084]
pca: [[0.647756, -0.195644, 0.189980, -0.048089, 0.300112, 0.040059, -0.402254, 0.500251, 0.000000, 0.000000], [-0.089447, 0.348868, 0.309993, -0.355451, 0.153992, 0.463478, 0.512500, 0.382972, 0.000000, 0.000000], [0.150859, 0.532370, -0.089343, 0.395923, -0.030906, -0.578079, 0.257852, 0.357027, 0.000000, 0.000000], [-0.023286, 0.255132, 0.669997, -0.188886, -0.547474, -0.171551, -0.339467, -0.073456, 0.000000, 0.000000], [-0.329115, -0.486589, 0.366605, 0.589061, -0.138798, 0.102139, 0.149477, 0.348542, 0.000000, 0.000000], [0.623082, -0.070705, 0.250758, 0.259666, -0.102259, 0.141896, 0.453762, -0.489870, 0.000000, 0.000000], [-0.200611, 0.356100, 0.326802, 0.363983, 0.631950, 0.119853, -0.288608, -0.310877, 0.000000, 0.000000], [0.110985, 0.350612, -0.326887, 0.363327, -0.395542, 0.612410, -0.286833, 0.110089, 0.000000, 0.000000]]
fourier: [[34.542856, 34.858967, 34.864150, 44.662653, 217.536661], [11.689322, 12.397655, 12.483521, 13.358566, 185.952392], [16.537168, 17.391774, 19.085184, 22.196463, 188.512136], [7.192251, 7.367478, 7.499960, 9.528878, 157.482215], [20.828776, 23.672735, 23.890736, 25.086146, 216.362082], [31.970995, 33.813452, 33.892112, 40.208236, 129.262635], [13.239626, 14.536968, 17.450862, 20.704472, 184.791911], [11.143961, 11.910656, 12.818551, 14.756311, 164.072273]]
### 8
mean: [-1.656929, 0.601775, 0.359252, -2.910043, -1.535316, -1.070795, -1.870609, 2.083550]
std: [0.678538, 1.303839, 0.506831, 1.481179, 0.255367, 0.443463, 1.685808, 2.723837]
pca: [[0.108233, 0.597241, 0.019781, -0.276141, -0.191932, -0.423588, -0.363506, 0.454470, 0.000000, 0.000000], [0.344322, 0.042982, 0.623068, 0.325535, -0.375286, 0.235505, -0.380270, -0.210953, 0.000000, 0.000000], [0.133142, -0.046519, 0.510798, 0.317042, 0.521357, -0.259415, 0.311414, 0.427307, 0.000000, 0.000000], [-0.365548, 0.585971, -0.165741, 0.595892, 0.236742, 0.018831, -0.096522, -0.273382, 0.000000, 0.000000], [0.002883, 0.281556, -0.058924, 0.026791, -0.155336, 0.741530, 0.291979, 0.507228, 0.000000, 0.000000], [0.073933, 0.379358, 0.237243, -0.209065, -0.281429, -0.186049, 0.697330, -0.387999, 0.000000, 0.000000], [-0.444499, 0.129715, 0.464749, -0.534396, 0.379288, 0.274115, -0.202091, -0.155512, 0.000000, 0.000000], [0.717860, 0.236470, -0.217399, -0.179345, 0.497264, 0.194524, -0.067833, -0.244172, 0.000000, 0.000000]]
fourier: [[10.316550, 11.561086, 12.280885, 12.325033, 149.123606], [20.472716, 20.698238, 20.985339, 25.497357, 54.159721], [7.593169, 7.779753, 7.974570, 10.329590, 32.332680], [22.041963, 23.127607, 24.561620, 32.347397, 261.903874], [3.729446, 3.740886, 4.212328, 5.387536, 138.178389], [6.783155, 7.510744, 7.740166, 7.913046, 96.371554], [26.339960, 26.439644, 26.889080, 34.682134, 168.354837], [42.714001, 44.486062, 44.628426, 52.275671, 187.519476]]
### 10
mean: [-1.773727]
std: [2.241182]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.091378, 34.750433, 35.010983, 45.007342, 159.635399]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 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": [[-0.037843, -0.21619, -0.046869, -0.252679, -0.52203], [-0.316088, 0.465867, 0.471316, 0.450807, -0.336788], [-0.341969, 0.364411, -0.06069, 0.294443, 0.707656], [-0.624329, 0.009882, 0.174928, 0.060813, 0.292444], [-0.060914, 0.247833, -0.153007, 0.439403, -0.585911], [0.471707, 0.19196, 0.046085, -0.241012, 0.152587], [-0.565877, 0.152147, 0.091946, 0.037193, 0.602082], [-0.436514, -0.375337, 0.203923, -0.107064, 0.758572]], "network.0.bias": [-0.004577, -0.040261, 0.401873, 0.278086, -0.109233, 0.476407, 0.418725, -0.026349], "network.2.weight": [[0.236234, 0.523131, -0.026405, 0.109282, 0.28565, 0.548214, -0.089322, -0.506247], [0.043175, 0.024457, -0.578545, 0.031075, 0.184417, -0.509477, -0.100454, -0.648946], [-0.147464, -0.447297, 0.665772, 0.093022, 0.340073, 0.358588, 0.3621, 0.438895], [-0.47884, 0.508527, -0.093654, -0.201635, 0.566379, 0.189758, 0.007211, -0.296335], [0.139851, -0.314076, -0.131065, -0.444524, 0.35152, 0.354647, -0.488855, -0.059235], [-0.327269, -0.179548, -0.086394, -0.784819, 0.026302, -0.242585, -0.364175, -0.179455], [-0.096863, 0.373528, -0.09133, -0.164041, -0.104849, -0.143534, 0.052528, -0.674449], [-0.222728, -0.530831, -0.507965, -0.006995, -0.289616, -0.376381, -0.336174, -0.087089]], "network.2.bias": [-0.017752, -0.408118, 0.603949, -0.1239, -0.00867, -0.522249, -0.113518, -0.326676], "network.4.weight": [[-0.509783, -0.321078, -0.111069, 0.121966, 0.080381, -0.081423, 0.082842, 0.089624], [0.348871, 0.388838, -0.104422, 0.567866, -0.399226, 0.135111, 0.543293, -0.010509], [-0.241837, 0.204987, -0.488178, -0.224018, 0.011683, 0.087801, -0.15591, 0.117784], [0.446982, 0.273975, -0.093176, 0.481785, -0.167132, 0.448254, 0.112943, 0.419259], [-0.063803, 0.003623, 0.503698, -0.220845, 0.807195, -0.166329, 0.467938, -0.092501], [-0.175028, -0.147513, -0.039637, -0.350094, 0.03871, -0.354041, 0.044082, -0.268674], [0.091229, -0.286084, 0.327031, -0.014974, -0.001076, -0.417274, 0.041968, 0.476517], [-0.23593, -0.201627, 0.689024, -0.150671, 0.614989, -0.281868, -0.16698, 0.178704]], "network.4.bias": [-0.439396, 0.247161, -0.274099, 0.254472, 0.543937, -0.431401, -0.179041, 0.589848], "network.6.weight": [[-0.066338, -0.178114, -0.203398, -0.272456, 0.514772, -0.175335, 0.340057, 0.756054], [0.004682, -0.118708, 0.061684, -0.415127, -0.341797, -0.335482, 0.058916, -0.378841], [-0.259283, -0.509974, -0.348328, -0.411783, -0.427636, 0.104988, -0.448353, 0.081832], [-0.545005, -0.014293, -0.037086, -0.46343, -0.400258, -0.178283, 0.24488, -0.197191], [0.074831, 0.688164, 0.510183, 0.503727, -0.033163, 0.214723, 0.059696, 0.10036], [-0.1079, -0.250885, 0.146067, -0.323414, 0.286646, -0.422768, 0.185698, 0.796685], [0.114218, -0.002842, -0.466168, -0.289108, -0.562646, -0.494815, -0.325808, -0.216774], [0.279333, -0.439913, 0.0701, -0.138777, -0.242004, -0.158438, -0.411487, 0.101086]], "network.6.bias": [0.555191, -0.143777, 0.064758, -0.277925, 0.614838, 0.166599, -0.085867, -0.498309], "network.8.weight": [[-0.060894, -0.085466, -0.249761, -0.328474, -0.526503, 0.022667, -0.3962, 0.018832], [0.106546, 0.080785, 0.264609, -0.320313, -0.087314, 0.541129, -0.016184, -0.154385], [-0.024822, -0.182083, -0.055872, -0.287802, 0.019223, 0.312988, 0.329325, 0.245893], [-0.423865, 0.018358, 0.128703, -0.149734, -0.450011, -0.493723, 0.112497, 0.245483], [-0.050846, 0.160667, -0.0566, 0.284847, -0.241219, -0.059267, -0.049973, 0.122042], [-0.10235, 0.101712, -0.220759, 0.055654, -0.336041, 0.098013, -0.229699, -0.202953], [-0.570161, 0.040148, -0.166811, 0.04995, -0.050881, -0.281565, 0.10783, 0.058139], [0.645726, 0.179205, 0.089439, 0.387534, -0.301748, 0.575859, 0.090838, 0.204787]], "network.8.bias": [-0.279566, -0.335096, -0.139053, 0.016157, -0.734108, -0.173455, 0.105936, 0.28801], "network.10.weight": [[0.00129, -0.170652, -0.300157, 0.140543, -0.042332, -0.060746, -0.040187, -0.755466]], "network.10.bias": [0.204767]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6985152959823608, "train_acc": 0.46, "val_loss": 0.6726058721542358, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6606501936912537, "train_acc": 0.56, "val_loss": 0.6093152761459351, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6031671464443207, "train_acc": 0.48, "val_loss": 0.46295368671417236, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 1.243300899863243, "train_acc": 0.685, "val_loss": 0.42880934476852417, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.45658712089061737, "train_acc": 0.855, "val_loss": 0.6170511841773987, "val_acc": 0.58}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5493515431880951, "train_acc": 0.715, "val_loss": 0.6715036034584045, "val_acc": 0.54}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.5901677906513214, "train_acc": 0.69, "val_loss": 0.6911668181419373, "val_acc": 0.54}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6726058721542358, "final_val_loss": 0.6093152761459351, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.46295368671417236, "final_val_loss": 0.6911668181419373, "initial_val_acc": 0.8, "final_val_acc": 0.54, "best_val_acc": 0.84, "best_epoch": 3}, "improvement": 0.26, "first_improvement_epoch": 1}}
|
9,768
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.56, "improved_accuracy": 0.9, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7957, "learning_rate": 0.018568185840841654, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.0.bias": [
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"network.2.weight": [
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[
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## Activation Signature
### 0
mean: [2.327777, 0.274854, 1.051652, -0.177682, 0.403182, -0.230875, 0.967488]
std: [2.122928, 1.099949, 1.566841, 1.542304, 1.080939, 1.485749, 1.888218]
pca: [[0.587319, 0.129464, 0.683153, -0.131457, 0.256835, 0.011687, -0.297012, 0.000000, 0.000000, 0.000000], [-0.205002, 0.236900, 0.566587, -0.007058, -0.510733, 0.040687, 0.564162, 0.000000, 0.000000, 0.000000], [0.461318, -0.015733, -0.215306, 0.003538, 0.405676, -0.014379, 0.758808, 0.000000, 0.000000, 0.000000], [0.256345, -0.570404, 0.096136, 0.643162, -0.246784, 0.353697, -0.004753, 0.000000, 0.000000, 0.000000], [-0.054512, 0.447263, 0.030224, 0.736538, 0.161893, -0.474416, -0.047985, 0.000000, 0.000000, 0.000000], [-0.413049, 0.214822, 0.151402, 0.158535, 0.520938, 0.680276, 0.032173, 0.000000, 0.000000, 0.000000], [0.401152, 0.596084, -0.364481, 0.037118, -0.387462, 0.430179, -0.119816, 0.000000, 0.000000, 0.000000]]
fourier: [[35.354224, 37.125947, 37.503104, 37.758100, 209.499952], [16.036793, 18.553835, 20.301425, 24.736900, 26.595787], [24.332224, 24.444800, 25.125188, 25.202923, 94.648695], [19.982147, 23.288242, 24.879253, 25.484954, 32.852251], [17.879731, 18.564872, 20.322348, 22.586569, 36.286341], [22.823528, 22.904663, 23.504288, 24.161595, 26.506247], [31.566393, 33.589985, 35.623588, 37.900596, 87.073909]]
### 2
mean: [-0.695094, 1.690900, 1.536068, 2.128312, 2.695749, -1.187408, 1.020159]
std: [0.640479, 2.070850, 2.049068, 1.250470, 2.534320, 0.554139, 1.288052]
pca: [[-0.026618, 0.617803, 0.063115, 0.162036, -0.489505, -0.563933, -0.172439, 0.000000, 0.000000, 0.000000], [0.495517, 0.242943, -0.151808, -0.121532, -0.482927, 0.642668, -0.106702, 0.000000, 0.000000, 0.000000], [0.470266, -0.512185, -0.497173, 0.072870, -0.136187, -0.418897, -0.264582, 0.000000, 0.000000, 0.000000], [0.255255, -0.280782, 0.804559, 0.096667, -0.068776, -0.007255, -0.441094, 0.000000, 0.000000, 0.000000], [0.608689, 0.196977, 0.151726, 0.404414, 0.304951, -0.111572, 0.546519, 0.000000, 0.000000, 0.000000], [-0.104368, 0.199711, -0.232335, 0.662900, 0.345776, 0.248280, -0.524025, 0.000000, 0.000000, 0.000000], [0.293350, 0.373419, -0.038396, -0.584236, 0.539753, -0.139063, -0.347889, 0.000000, 0.000000, 0.000000]]
fourier: [[10.356034, 10.464355, 11.447773, 12.904906, 62.558427], [34.238394, 34.375095, 35.356997, 35.583224, 152.180986], [31.664967, 35.491668, 35.803248, 37.446754, 138.246145], [21.140296, 21.708612, 22.707863, 23.322597, 191.548080], [42.454280, 42.906849, 43.447710, 45.032268, 242.617416], [9.081676, 9.329549, 10.531231, 11.902397, 106.866754], [21.317378, 21.426618, 22.826422, 25.790997, 91.814287]]
### 4
mean: [-0.641030, -0.062356, 3.481576, 0.040928, -1.392914, 1.277102, -2.505617]
std: [0.513147, 0.687828, 4.070209, 0.257934, 1.208336, 1.107816, 2.217895]
pca: [[-0.101383, -0.045458, -0.330668, -0.297536, 0.367946, -0.065293, 0.806311, 0.000000, 0.000000, 0.000000], [-0.113041, 0.703499, 0.169027, -0.367976, 0.194563, 0.531937, -0.086731, 0.000000, 0.000000, 0.000000], [0.820701, -0.196477, 0.261034, -0.009753, 0.427800, 0.190660, 0.015786, 0.000000, 0.000000, 0.000000], [-0.028284, 0.354913, 0.176693, 0.834232, 0.081352, 0.075433, 0.365739, 0.000000, 0.000000, 0.000000], [-0.236661, -0.352970, 0.740239, -0.157858, -0.278249, 0.229510, 0.341223, 0.000000, 0.000000, 0.000000], [0.221250, -0.146284, -0.449076, 0.087402, -0.514207, 0.657075, 0.155515, 0.000000, 0.000000, 0.000000], [-0.444560, -0.438713, -0.114480, 0.217874, 0.543414, 0.431644, -0.260206, 0.000000, 0.000000, 0.000000]]
fourier: [[8.590928, 8.986977, 9.312505, 9.793823, 57.692709], [10.091029, 10.469595, 11.092056, 11.726001, 11.935749], [67.200209, 67.539756, 68.117873, 71.537876, 313.341881], [3.683521, 3.941569, 4.479903, 4.595249, 4.687648], [19.947033, 21.791378, 22.486643, 22.633615, 125.362259], [18.437087, 19.153140, 19.263549, 19.386911, 114.939165], [37.764066, 37.866201, 38.878597, 40.801182, 225.505483]]
### 6
mean: [2.703383, 1.391588, 1.441020, -0.515970, 2.776635, -0.780249, -1.395469]
std: [3.063623, 1.890156, 1.659872, 1.207555, 3.126983, 0.405335, 1.116592]
pca: [[0.575608, -0.153757, 0.319297, -0.138287, 0.694300, 0.191811, -0.071533, 0.000000, 0.000000, 0.000000], [0.354769, 0.525882, -0.088047, 0.288835, -0.077677, 0.240924, 0.665080, 0.000000, 0.000000, 0.000000], [0.311773, 0.025707, -0.446642, 0.666337, 0.056784, -0.082584, -0.498596, 0.000000, 0.000000, 0.000000], [-0.226532, -0.176403, 0.640013, 0.557920, -0.154536, 0.410715, -0.064078, 0.000000, 0.000000, 0.000000], [0.587363, -0.481687, 0.117549, -0.067673, -0.599470, -0.182768, 0.108704, 0.000000, 0.000000, 0.000000], [-0.074416, -0.429436, -0.502834, -0.120091, -0.017601, 0.729930, 0.098367, 0.000000, 0.000000, 0.000000], [-0.209195, -0.501588, -0.120548, 0.350956, 0.353743, -0.404296, 0.527594, 0.000000, 0.000000, 0.000000]]
fourier: [[50.456734, 50.818590, 51.204574, 53.513852, 243.304455], [31.236402, 31.566893, 31.634576, 33.240056, 125.242927], [27.500762, 27.624800, 27.966014, 29.102381, 129.691829], [19.814542, 20.193330, 20.298674, 21.158213, 46.437333], [50.818134, 52.217555, 52.410284, 54.511730, 249.897150], [7.067042, 7.213036, 7.483113, 7.645665, 70.222417], [18.603625, 18.768201, 19.098096, 19.652865, 125.592249]]
### 8
mean: [-0.423750, -0.465682, -1.813603, -1.152596, 5.486906, -1.439550, -0.443657]
std: [0.272158, 0.303213, 1.987421, 1.263248, 6.089535, 1.360429, 0.823720]
pca: [[-0.039145, 0.823085, -0.273885, -0.312255, -0.345128, 0.057332, -0.161498, 0.000000, 0.000000, 0.000000], [-0.044947, -0.085635, -0.581235, -0.199652, 0.600617, 0.472727, -0.169529, 0.000000, 0.000000, 0.000000], [-0.295224, -0.078810, -0.301818, 0.699569, -0.417886, 0.359031, -0.150365, 0.000000, 0.000000, 0.000000], [-0.187586, -0.401375, 0.240137, -0.507712, -0.381182, 0.292678, -0.507259, 0.000000, 0.000000, 0.000000], [0.904609, -0.005274, 0.056040, 0.105069, -0.156939, 0.369887, -0.077639, 0.000000, 0.000000, 0.000000], [-0.202085, 0.098932, 0.293880, -0.148966, -0.056137, 0.612381, 0.680188, 0.000000, 0.000000, 0.000000], [-0.122250, 0.371576, 0.590667, 0.286771, 0.415254, 0.216453, -0.443366, 0.000000, 0.000000, 0.000000]]
fourier: [[4.648956, 4.698502, 4.978529, 4.988982, 38.137468], [5.066016, 5.105657, 5.130330, 5.284823, 41.911357], [32.808824, 32.968135, 33.211818, 35.011901, 163.224289], [20.636638, 20.713873, 21.140995, 22.579320, 103.733672], [100.027952, 101.034038, 101.916575, 107.117586, 493.821501], [22.310014, 22.582029, 22.762823, 23.895251, 129.559523], [13.634969, 13.665110, 13.796179, 14.268632, 39.929113]]
### 10
mean: [-2.489075]
std: [3.156516]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.624655, 52.145193, 52.636865, 55.808171, 224.016742]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.189942,
-0.168987,
0.295973,
-0.249949,
0.368145
],
"network.10.weight": [
[
0.273481,
0.041688,
0.127033,
-0.056224,
-0.514225,
0.112829,
0.418608
]
],
"network.10.bias": [
0.301211
]
}
## Activation Signature
### 0
mean: [2.327777, 0.274854, 1.051652, -0.177682, 0.403182, -0.230875, 0.967488]
std: [2.122928, 1.099949, 1.566841, 1.542304, 1.080939, 1.485749, 1.888218]
pca: [[0.587319, 0.129464, 0.683153, -0.131457, 0.256835, 0.011687, -0.297012, 0.000000, 0.000000, 0.000000], [-0.205002, 0.236900, 0.566587, -0.007058, -0.510733, 0.040687, 0.564162, 0.000000, 0.000000, 0.000000], [0.461318, -0.015733, -0.215306, 0.003538, 0.405676, -0.014379, 0.758808, 0.000000, 0.000000, 0.000000], [0.256345, -0.570404, 0.096136, 0.643162, -0.246784, 0.353697, -0.004753, 0.000000, 0.000000, 0.000000], [-0.054512, 0.447263, 0.030224, 0.736538, 0.161893, -0.474416, -0.047985, 0.000000, 0.000000, 0.000000], [-0.413049, 0.214822, 0.151402, 0.158535, 0.520938, 0.680276, 0.032173, 0.000000, 0.000000, 0.000000], [0.401152, 0.596084, -0.364481, 0.037118, -0.387462, 0.430179, -0.119816, 0.000000, 0.000000, 0.000000]]
fourier: [[35.354224, 37.125947, 37.503104, 37.758100, 209.499952], [16.036793, 18.553835, 20.301425, 24.736900, 26.595787], [24.332224, 24.444800, 25.125188, 25.202923, 94.648695], [19.982147, 23.288242, 24.879253, 25.484954, 32.852251], [17.879731, 18.564872, 20.322348, 22.586569, 36.286341], [22.823528, 22.904663, 23.504288, 24.161595, 26.506247], [31.566393, 33.589985, 35.623588, 37.900596, 87.073909]]
### 2
mean: [-0.695094, 1.690900, 1.536068, 2.128312, 2.695749, -1.187408, 1.020159]
std: [0.640479, 2.070850, 2.049068, 1.250470, 2.534320, 0.554139, 1.288052]
pca: [[-0.026618, 0.617803, 0.063115, 0.162036, -0.489505, -0.563933, -0.172439, 0.000000, 0.000000, 0.000000], [0.495517, 0.242943, -0.151808, -0.121532, -0.482927, 0.642668, -0.106702, 0.000000, 0.000000, 0.000000], [0.470266, -0.512185, -0.497173, 0.072870, -0.136187, -0.418897, -0.264582, 0.000000, 0.000000, 0.000000], [0.255255, -0.280782, 0.804559, 0.096667, -0.068776, -0.007255, -0.441094, 0.000000, 0.000000, 0.000000], [0.608689, 0.196977, 0.151726, 0.404414, 0.304951, -0.111572, 0.546519, 0.000000, 0.000000, 0.000000], [-0.104368, 0.199711, -0.232335, 0.662900, 0.345776, 0.248280, -0.524025, 0.000000, 0.000000, 0.000000], [0.293350, 0.373419, -0.038396, -0.584236, 0.539753, -0.139063, -0.347889, 0.000000, 0.000000, 0.000000]]
fourier: [[10.356034, 10.464355, 11.447773, 12.904906, 62.558427], [34.238394, 34.375095, 35.356997, 35.583224, 152.180986], [31.664967, 35.491668, 35.803248, 37.446754, 138.246145], [21.140296, 21.708612, 22.707863, 23.322597, 191.548080], [42.454280, 42.906849, 43.447710, 45.032268, 242.617416], [9.081676, 9.329549, 10.531231, 11.902397, 106.866754], [21.317378, 21.426618, 22.826422, 25.790997, 91.814287]]
### 4
mean: [-0.641030, -0.062356, 3.481576, 0.040928, -1.392914, 1.277102, -2.505617]
std: [0.513147, 0.687828, 4.070209, 0.257934, 1.208336, 1.107816, 2.217895]
pca: [[-0.101383, -0.045458, -0.330668, -0.297536, 0.367946, -0.065293, 0.806311, 0.000000, 0.000000, 0.000000], [-0.113041, 0.703499, 0.169027, -0.367976, 0.194563, 0.531937, -0.086731, 0.000000, 0.000000, 0.000000], [0.820701, -0.196477, 0.261034, -0.009753, 0.427800, 0.190660, 0.015786, 0.000000, 0.000000, 0.000000], [-0.028284, 0.354913, 0.176693, 0.834232, 0.081352, 0.075433, 0.365739, 0.000000, 0.000000, 0.000000], [-0.236661, -0.352970, 0.740239, -0.157858, -0.278249, 0.229510, 0.341223, 0.000000, 0.000000, 0.000000], [0.221250, -0.146284, -0.449076, 0.087402, -0.514207, 0.657075, 0.155515, 0.000000, 0.000000, 0.000000], [-0.444560, -0.438713, -0.114480, 0.217874, 0.543414, 0.431644, -0.260206, 0.000000, 0.000000, 0.000000]]
fourier: [[8.590928, 8.986977, 9.312505, 9.793823, 57.692709], [10.091029, 10.469595, 11.092056, 11.726001, 11.935749], [67.200209, 67.539756, 68.117873, 71.537876, 313.341881], [3.683521, 3.941569, 4.479903, 4.595249, 4.687648], [19.947033, 21.791378, 22.486643, 22.633615, 125.362259], [18.437087, 19.153140, 19.263549, 19.386911, 114.939165], [37.764066, 37.866201, 38.878597, 40.801182, 225.505483]]
### 6
mean: [2.703383, 1.391588, 1.441020, -0.515970, 2.776635, -0.780249, -1.395469]
std: [3.063623, 1.890156, 1.659872, 1.207555, 3.126983, 0.405335, 1.116592]
pca: [[0.575608, -0.153757, 0.319297, -0.138287, 0.694300, 0.191811, -0.071533, 0.000000, 0.000000, 0.000000], [0.354769, 0.525882, -0.088047, 0.288835, -0.077677, 0.240924, 0.665080, 0.000000, 0.000000, 0.000000], [0.311773, 0.025707, -0.446642, 0.666337, 0.056784, -0.082584, -0.498596, 0.000000, 0.000000, 0.000000], [-0.226532, -0.176403, 0.640013, 0.557920, -0.154536, 0.410715, -0.064078, 0.000000, 0.000000, 0.000000], [0.587363, -0.481687, 0.117549, -0.067673, -0.599470, -0.182768, 0.108704, 0.000000, 0.000000, 0.000000], [-0.074416, -0.429436, -0.502834, -0.120091, -0.017601, 0.729930, 0.098367, 0.000000, 0.000000, 0.000000], [-0.209195, -0.501588, -0.120548, 0.350956, 0.353743, -0.404296, 0.527594, 0.000000, 0.000000, 0.000000]]
fourier: [[50.456734, 50.818590, 51.204574, 53.513852, 243.304455], [31.236402, 31.566893, 31.634576, 33.240056, 125.242927], [27.500762, 27.624800, 27.966014, 29.102381, 129.691829], [19.814542, 20.193330, 20.298674, 21.158213, 46.437333], [50.818134, 52.217555, 52.410284, 54.511730, 249.897150], [7.067042, 7.213036, 7.483113, 7.645665, 70.222417], [18.603625, 18.768201, 19.098096, 19.652865, 125.592249]]
### 8
mean: [-0.423750, -0.465682, -1.813603, -1.152596, 5.486906, -1.439550, -0.443657]
std: [0.272158, 0.303213, 1.987421, 1.263248, 6.089535, 1.360429, 0.823720]
pca: [[-0.039145, 0.823085, -0.273885, -0.312255, -0.345128, 0.057332, -0.161498, 0.000000, 0.000000, 0.000000], [-0.044947, -0.085635, -0.581235, -0.199652, 0.600617, 0.472727, -0.169529, 0.000000, 0.000000, 0.000000], [-0.295224, -0.078810, -0.301818, 0.699569, -0.417886, 0.359031, -0.150365, 0.000000, 0.000000, 0.000000], [-0.187586, -0.401375, 0.240137, -0.507712, -0.381182, 0.292678, -0.507259, 0.000000, 0.000000, 0.000000], [0.904609, -0.005274, 0.056040, 0.105069, -0.156939, 0.369887, -0.077639, 0.000000, 0.000000, 0.000000], [-0.202085, 0.098932, 0.293880, -0.148966, -0.056137, 0.612381, 0.680188, 0.000000, 0.000000, 0.000000], [-0.122250, 0.371576, 0.590667, 0.286771, 0.415254, 0.216453, -0.443366, 0.000000, 0.000000, 0.000000]]
fourier: [[4.648956, 4.698502, 4.978529, 4.988982, 38.137468], [5.066016, 5.105657, 5.130330, 5.284823, 41.911357], [32.808824, 32.968135, 33.211818, 35.011901, 163.224289], [20.636638, 20.713873, 21.140995, 22.579320, 103.733672], [100.027952, 101.034038, 101.916575, 107.117586, 493.821501], [22.310014, 22.582029, 22.762823, 23.895251, 129.559523], [13.634969, 13.665110, 13.796179, 14.268632, 39.929113]]
### 10
mean: [-2.489075]
std: [3.156516]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.624655, 52.145193, 52.636865, 55.808171, 224.016742]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
mountain_pattern
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.646903, 0.471066, 0.343969, 0.105938, -0.129402], [-0.235408, -0.396434, 0.474192, 0.148159, -0.080164], [0.521411, 0.517676, -0.180336, -0.131551, 0.115481], [0.616648, 0.037471, -0.415319, 0.226539, -0.486127], [-0.02131, -0.273662, 0.218333, 0.100369, 0.440332], [-0.585209, -0.347512, 0.191902, 0.189442, 0.206856], [0.417039, 0.258935, 0.218572, -0.396441, 0.573152]], "network.0.bias": [-0.12174, 0.080814, -0.024155, -0.032036, -0.286011, 0.068397, -0.336646], "network.2.weight": [[-0.237443, -0.360686, -0.018544, -0.108657, 0.308101, -0.032864, 0.279822], [0.338244, -0.524326, 0.224842, 0.523745, -0.073163, 0.052065, 0.522167], [0.587795, -0.131156, 0.214501, 0.463872, -0.421067, -0.322908, 0.088598], [0.479827, 0.314612, 0.346073, 0.093262, 0.391562, 0.329968, -0.241079], [0.515483, -0.237257, 0.337196, 0.502429, 0.182271, -0.261739, 0.488232], [-0.235261, 0.073142, -0.021569, -0.312918, -0.151149, -0.34196, 0.158915], [-0.001055, -0.262537, 0.197021, 0.617941, 0.261663, -0.12487, 0.376818]], "network.2.bias": [-0.387362, 0.04562, 0.044557, 0.296222, 0.366068, -0.462213, 0.058054], "network.4.weight": [[0.225286, -0.318601, -0.02888, -0.147223, 0.096544, 0.053332, 0.089258], [-0.055046, -0.545177, -0.327465, 0.345327, 0.400273, -0.322719, -0.164968], [0.179354, 0.504983, 0.685038, -0.006296, 0.493842, -0.086759, 0.420496], [-0.420355, 0.253255, -0.334346, 0.260035, 0.024051, 0.046275, -0.291492], [-0.299834, 0.153952, 0.123875, -0.106732, -0.44525, -0.17629, -0.397602], [0.125435, 0.107371, 0.167644, -0.060551, 0.009692, -0.148365, 0.495454], [-0.182026, -0.153066, -0.146064, -0.38231, -0.348612, 0.010718, -0.277601]], "network.4.bias": [-0.104087, -0.235482, -0.264419, -0.136045, 0.009688, 0.393236, 0.050961], "network.6.weight": [[0.121634, -0.316176, 0.587918, -0.146809, -0.01941, 0.568097, -0.263345], [-0.447253, -0.029498, 0.443007, 0.104516, 0.280093, 0.084462, 0.051045], [-0.209116, -0.295882, 0.430843, 0.059642, 0.135827, -0.115995, 0.028247], [-0.050104, -0.027255, -0.367261, 0.384207, 0.44386, 0.27408, 0.31555], [-0.155246, -0.477517, 0.618544, -0.241328, -0.254928, 0.486031, 0.192848], [-0.184779, -0.136296, -0.022966, -0.240163, -0.22641, -0.305481, 0.305134], [-0.211121, -0.164902, -0.239302, 0.045985, -0.024199, -0.149119, -0.317848]], "network.6.bias": [0.009738, -0.269792, 0.140576, 0.376567, 0.126714, -0.251938, -0.33939], "network.8.weight": [[0.001972, 0.176601, 0.240819, -0.418416, -0.336901, 0.026457, 0.13106], [-0.069593, -0.03491, -0.270604, -0.022881, 0.134777, 0.134749, 0.306805], [-0.229454, -0.377472, 0.051668, 0.221966, -0.20598, -0.083925, -0.051553], [0.095476, -0.216605, -0.26079, 0.308957, -0.218278, -0.365183, 0.330368], [0.766213, 0.461113, 0.480859, -0.377469, 0.655525, -0.233436, -0.371397], [-0.174507, -0.018875, -0.056165, 0.050573, -0.221788, -0.25546, -0.274143], [-0.406559, 0.212478, 0.129868, -0.122879, -0.065415, -0.049188, 0.253135]], "network.8.bias": [-0.020398, -0.207948, -0.189942, -0.168987, 0.295973, -0.249949, 0.368145], "network.10.weight": [[0.273481, 0.041688, 0.127033, -0.056224, -0.514225, 0.112829, 0.418608]], "network.10.bias": [0.301211]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7271741330623627, "train_acc": 0.435, "val_loss": 0.7127444744110107, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7100598514080048, "train_acc": 0.435, "val_loss": 0.702655017375946, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.7011327147483826, "train_acc": 0.45, "val_loss": 0.69221031665802, "val_acc": 0.6}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6914784908294678, "train_acc": 0.47, "val_loss": 0.680198609828949, "val_acc": 0.56}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6778751015663147, "train_acc": 0.565, "val_loss": 0.6630085706710815, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6754429936408997, "train_acc": 0.485, "val_loss": 0.6296449303627014, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6444900333881378, "train_acc": 0.575, "val_loss": 0.5800521969795227, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6053177416324615, "train_acc": 0.79, "val_loss": 0.5244513750076294, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5532436668872833, "train_acc": 0.825, "val_loss": 0.45550069212913513, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.49247385561466217, "train_acc": 0.895, "val_loss": 0.405760794878006, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.44175058603286743, "train_acc": 0.905, "val_loss": 0.3709184527397156, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.4104073643684387, "train_acc": 0.9, "val_loss": 0.3657774329185486, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.38012056052684784, "train_acc": 0.905, "val_loss": 0.33774590492248535, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.37040039896965027, "train_acc": 0.905, "val_loss": 0.3198878765106201, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.33743342757225037, "train_acc": 0.91, "val_loss": 0.3046802580356598, "val_acc": 0.9}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.7127444744110107, "final_val_loss": 0.6630085706710815, "initial_val_acc": 0.44, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.6296449303627014, "final_val_loss": 0.3046802580356598, "initial_val_acc": 0.56, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 10}, "improvement": 0.33999999999999997, "first_improvement_epoch": 4}}
|
9,769
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.7, "improved_accuracy": 0.9, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4309, "learning_rate": 0.03356264562561832, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.056242,
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[
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-0.597917,
0.090335
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0.338587,
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-0.265762,
0.181825,
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0.304948
]
],
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0.181761,
0.167484,
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0.278945,
0.054
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## Activation Signature
### 0
mean: [-0.656280, -1.722721, 1.919287, -0.920883, -1.307808, -1.175505, -0.520391, -1.351894]
std: [2.684531, 1.028184, 2.141096, 1.660449, 1.605319, 0.838956, 1.444271, 0.840753]
pca: [[0.713476, -0.427250, 0.083021, -0.377254, 0.235553, -0.118072, 0.266809, -0.136319, 0.000000, 0.000000], [0.218888, 0.172333, 0.131399, 0.396285, -0.444568, -0.533782, 0.109034, -0.503616, 0.000000, 0.000000], [-0.585314, -0.321817, 0.021338, 0.023975, 0.291009, -0.178668, 0.599150, -0.277889, 0.000000, 0.000000], [0.011372, -0.059855, 0.856403, 0.214239, -0.025117, -0.006609, 0.153697, 0.438938, 0.000000, 0.000000], [0.044009, 0.758806, 0.002762, -0.339915, 0.285488, -0.321119, 0.307031, 0.166845, 0.000000, 0.000000], [0.124720, 0.132316, 0.129753, 0.448198, 0.744790, 0.060487, -0.314154, -0.303574, 0.000000, 0.000000], [0.234116, -0.077691, -0.471516, 0.568870, 0.076100, -0.091494, 0.351274, 0.505625, 0.000000, 0.000000], [0.167382, 0.285095, 0.052814, 0.118860, -0.139824, 0.744327, 0.466868, -0.286789, 0.000000, 0.000000]]
fourier: [[43.266600, 46.455265, 47.144515, 59.065193, 62.998229], [16.560981, 18.010694, 18.095571, 20.911424, 155.044859], [31.924170, 41.140516, 43.498614, 45.850113, 172.735814], [26.842256, 27.457630, 28.074992, 34.655989, 82.879506], [24.814700, 28.680773, 29.933184, 32.592175, 117.702746], [12.531955, 13.014012, 13.288762, 15.399396, 105.795444], [21.610470, 23.519944, 25.052989, 30.577436, 46.835215], [13.744780, 14.441199, 14.567818, 16.907507, 121.670472]]
### 2
mean: [-0.843196, -0.235530, 0.964621, -0.322805, -0.595197, 1.040981, -0.236633, 0.497555]
std: [0.935870, 1.031278, 1.235129, 1.615036, 0.809761, 0.702437, 1.742638, 0.856088]
pca: [[0.223015, 0.606945, 0.367822, 0.002120, -0.477359, 0.177809, 0.349621, 0.254679, 0.000000, 0.000000], [0.323654, -0.164407, 0.291696, 0.008441, 0.154817, 0.796427, -0.220701, -0.275838, 0.000000, 0.000000], [-0.384650, 0.039197, 0.600828, 0.628383, 0.270948, -0.115347, -0.070050, 0.054985, 0.000000, 0.000000], [0.514696, -0.113244, 0.135436, -0.029881, 0.564986, -0.217394, 0.578751, 0.040080, 0.000000, 0.000000], [0.148836, 0.658691, 0.054040, -0.235789, 0.376100, -0.236390, -0.465771, -0.266801, 0.000000, 0.000000], [-0.196169, -0.239844, 0.542082, -0.516454, -0.223233, -0.243898, 0.132543, -0.465326, 0.000000, 0.000000], [0.547665, -0.309088, 0.250805, 0.085847, -0.273216, -0.356631, -0.490067, 0.303737, 0.000000, 0.000000], [-0.268463, -0.057385, 0.201513, -0.523904, 0.299342, 0.175982, -0.120505, 0.688807, 0.000000, 0.000000]]
fourier: [[14.793330, 15.020148, 16.327939, 17.246396, 75.887631], [17.236787, 18.865102, 19.072562, 21.197697, 22.093866], [20.637478, 21.358423, 24.237638, 26.851117, 86.815853], [26.862350, 29.052407, 30.683759, 31.294387, 35.473144], [12.841275, 13.998385, 14.072727, 17.137233, 53.567737], [11.823256, 11.827782, 13.349647, 16.192301, 93.688277], [28.655869, 29.454267, 31.364783, 32.764272, 36.822032], [15.173540, 15.292833, 17.313878, 19.029629, 44.779970]]
### 4
mean: [0.599785, 0.637553, -1.226565, 0.264046, 0.243079, -1.255962, 0.523873, 0.132219]
std: [1.952319, 0.721080, 0.506123, 0.692923, 1.059436, 0.365528, 1.529780, 1.432404]
pca: [[0.608262, -0.316537, 0.129033, 0.014380, -0.022193, 0.187931, -0.049845, 0.688963, 0.000000, 0.000000], [-0.209001, -0.357094, 0.376560, 0.635034, -0.416446, 0.244601, -0.162450, -0.155210, 0.000000, 0.000000], [0.026654, 0.703590, 0.168275, 0.357747, -0.233457, -0.393443, -0.122329, 0.351693, 0.000000, 0.000000], [-0.213960, -0.080135, -0.317386, 0.538543, 0.700293, 0.013880, -0.152158, 0.208045, 0.000000, 0.000000], [-0.330173, -0.061468, 0.651284, -0.092603, 0.313859, -0.097755, 0.546094, 0.219498, 0.000000, 0.000000], [-0.025972, 0.503574, 0.111961, -0.046221, 0.113922, 0.847222, -0.016478, 0.005665, 0.000000, 0.000000], [0.478768, 0.068573, 0.487445, 0.030890, 0.411545, -0.148086, -0.358895, -0.455433, 0.000000, 0.000000], [0.448263, 0.093602, -0.195434, 0.408471, -0.017689, 0.024303, 0.711136, -0.280425, 0.000000, 0.000000]]
fourier: [[31.812643, 35.665848, 36.024773, 40.858974, 53.980674], [11.919627, 12.075990, 12.512442, 12.854503, 57.379782], [7.688044, 8.894018, 9.898521, 10.386074, 110.390843], [11.316776, 11.533385, 12.364855, 13.539934, 23.764179], [17.619030, 17.868202, 17.914618, 21.048285, 21.877072], [5.351713, 5.752226, 6.258132, 7.135841, 113.036605], [23.384660, 25.408117, 27.036349, 31.446170, 47.148604], [22.201673, 22.422206, 23.451361, 24.978817, 29.642929]]
### 6
mean: [0.737065, 0.221079, 0.093967, -0.606927, -1.173013, 0.383443, 0.476456, -0.577485]
std: [2.213463, 1.157488, 0.221037, 1.979922, 0.260064, 1.911187, 0.885038, 2.235371]
pca: [[-0.500556, 0.149641, -0.034657, 0.408853, 0.304576, -0.155693, 0.263809, 0.609989, 0.000000, 0.000000], [0.259918, -0.339986, 0.021257, -0.547895, 0.533728, -0.387704, 0.041897, 0.281559, 0.000000, 0.000000], [0.041638, 0.296038, 0.319627, -0.269477, 0.072115, 0.553101, -0.458053, 0.463589, 0.000000, 0.000000], [0.447672, 0.162753, 0.074238, 0.097376, 0.290376, 0.456228, 0.680058, -0.056271, 0.000000, 0.000000], [0.013045, 0.619147, 0.570534, -0.133398, -0.034392, -0.476287, 0.119741, -0.175536, 0.000000, 0.000000], [-0.431526, 0.289740, -0.301497, -0.225194, 0.562507, 0.173102, -0.115972, -0.477908, 0.000000, 0.000000], [0.198957, -0.229055, 0.392517, 0.583137, 0.459442, -0.036738, -0.392093, -0.218308, 0.000000, 0.000000], [0.503759, 0.477632, -0.565858, 0.204927, 0.064538, -0.230690, -0.273556, 0.153911, 0.000000, 0.000000]]
fourier: [[37.208721, 41.997434, 42.380677, 47.176851, 66.335880], [18.959013, 19.897073, 21.321896, 21.475645, 23.891382], [3.553954, 3.959310, 4.397970, 5.189389, 8.457022], [33.803594, 37.649175, 38.836905, 43.032436, 54.623453], [4.215735, 4.384770, 4.888224, 5.067923, 105.571152], [31.936456, 34.509904, 35.824244, 36.062631, 40.445947], [14.703900, 16.150607, 16.337172, 18.702797, 42.881046], [38.578268, 42.572335, 44.854094, 48.681848, 51.973656]]
### 8
mean: [0.514576, 0.215724, 0.159650, -0.133485, 0.281089, -0.151383, 0.862415, 0.714269]
std: [1.703842, 1.100612, 1.255745, 1.006715, 1.530259, 0.309088, 1.472162, 2.048356]
pca: [[0.436162, 0.276883, 0.051217, 0.047018, 0.378268, 0.342069, 0.682516, 0.048365, 0.000000, 0.000000], [0.281924, -0.159996, 0.638617, -0.324810, -0.141339, -0.130779, -0.038428, 0.585688, 0.000000, 0.000000], [-0.321160, 0.218215, -0.421756, -0.014851, -0.354885, 0.301918, 0.148172, 0.657333, 0.000000, 0.000000], [-0.251414, -0.382153, 0.116069, 0.013121, 0.521971, 0.624795, -0.306458, 0.142708, 0.000000, 0.000000], [0.392114, 0.222748, -0.383285, 0.117619, 0.456070, -0.317487, -0.439835, 0.365563, 0.000000, 0.000000], [-0.059457, -0.320998, 0.144012, 0.862146, -0.023916, -0.200354, 0.195789, 0.224370, 0.000000, 0.000000], [-0.359204, 0.734956, 0.478332, 0.221433, 0.121805, 0.015403, -0.194628, -0.005016, 0.000000, 0.000000], [0.526891, 0.106123, 0.041797, 0.292800, -0.463822, 0.493138, -0.383608, -0.134811, 0.000000, 0.000000]]
fourier: [[28.905756, 33.745276, 34.013489, 37.214216, 46.311837], [18.633869, 19.415149, 19.951551, 20.707941, 24.071765], [19.879769, 21.082585, 22.501409, 23.714753, 27.232922], [15.725246, 16.798639, 19.978975, 20.928089, 21.852136], [25.298053, 25.800848, 30.398217, 30.492503, 33.218285], [4.834211, 5.355556, 6.129654, 6.229817, 13.624441], [23.252193, 24.266098, 25.750356, 30.243522, 77.617376], [34.695909, 39.807329, 40.139907, 44.607778, 64.284168]]
### 10
mean: [-1.105649, -0.571738, 1.137842, -1.466197, 0.953341, 0.886137, -0.582016, -0.500233]
std: [1.850710, 2.305738, 2.775371, 2.762451, 2.152362, 2.179352, 3.981314, 2.310064]
pca: [[0.247855, 0.613484, 0.139563, 0.356646, -0.148217, -0.585840, -0.126080, 0.185629, 0.000000, 0.000000], [0.312365, -0.106890, 0.756908, -0.206988, 0.072155, -0.097477, 0.486365, -0.154890, 0.000000, 0.000000], [-0.376038, 0.182022, -0.182262, 0.179838, 0.529551, -0.086805, 0.631711, 0.269971, 0.000000, 0.000000], [0.372735, 0.569429, 0.001705, -0.212318, 0.217926, 0.639077, -0.053698, 0.181503, 0.000000, 0.000000], [-0.291717, 0.022857, 0.444060, 0.358188, 0.533397, 0.115043, -0.480507, -0.245473, 0.000000, 0.000000], [-0.295246, -0.147058, 0.390963, 0.047148, -0.285546, 0.184781, -0.102979, 0.780925, 0.000000, 0.000000], [0.538979, -0.438605, -0.148034, -0.009852, 0.490676, -0.225077, -0.206458, 0.401334, 0.000000, 0.000000], [0.312879, -0.200769, -0.049343, 0.788620, -0.195185, 0.365098, 0.247982, -0.067483, 0.000000, 0.000000]]
fourier: [[30.882591, 36.469222, 38.779216, 39.930664, 99.508399], [39.410019, 45.541053, 45.593425, 49.699893, 51.456447], [47.157250, 54.671775, 55.346634, 59.986335, 102.405801], [46.512177, 55.103405, 56.866174, 59.600379, 131.957676], [36.332204, 42.755557, 43.452703, 46.569507, 85.800683], [36.837032, 43.850570, 43.907927, 47.201275, 79.752342], [63.755708, 67.673226, 77.520376, 79.615053, 86.148407], [39.232613, 45.020993, 45.387442, 46.024939, 50.173961]]
### 12
mean: [-1.505224]
std: [3.565928]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[60.193160, 71.132529, 72.081739, 77.468598, 135.470153]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.054415,
-0.856274
],
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-0.324653,
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-0.238745
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[
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-0.05235,
-0.016809,
0.345935,
0.80933
],
[
-0.429079,
-0.196326,
-0.431419,
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],
[
-0.026473,
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],
[
-0.06585,
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## Activation Signature
### 0
mean: [-0.656280, -1.722721, 1.919287, -0.920883, -1.307808, -1.175505, -0.520391, -1.351894]
std: [2.684531, 1.028184, 2.141096, 1.660449, 1.605319, 0.838956, 1.444271, 0.840753]
pca: [[0.713476, -0.427250, 0.083021, -0.377254, 0.235553, -0.118072, 0.266809, -0.136319, 0.000000, 0.000000], [0.218888, 0.172333, 0.131399, 0.396285, -0.444568, -0.533782, 0.109034, -0.503616, 0.000000, 0.000000], [-0.585314, -0.321817, 0.021338, 0.023975, 0.291009, -0.178668, 0.599150, -0.277889, 0.000000, 0.000000], [0.011372, -0.059855, 0.856403, 0.214239, -0.025117, -0.006609, 0.153697, 0.438938, 0.000000, 0.000000], [0.044009, 0.758806, 0.002762, -0.339915, 0.285488, -0.321119, 0.307031, 0.166845, 0.000000, 0.000000], [0.124720, 0.132316, 0.129753, 0.448198, 0.744790, 0.060487, -0.314154, -0.303574, 0.000000, 0.000000], [0.234116, -0.077691, -0.471516, 0.568870, 0.076100, -0.091494, 0.351274, 0.505625, 0.000000, 0.000000], [0.167382, 0.285095, 0.052814, 0.118860, -0.139824, 0.744327, 0.466868, -0.286789, 0.000000, 0.000000]]
fourier: [[43.266600, 46.455265, 47.144515, 59.065193, 62.998229], [16.560981, 18.010694, 18.095571, 20.911424, 155.044859], [31.924170, 41.140516, 43.498614, 45.850113, 172.735814], [26.842256, 27.457630, 28.074992, 34.655989, 82.879506], [24.814700, 28.680773, 29.933184, 32.592175, 117.702746], [12.531955, 13.014012, 13.288762, 15.399396, 105.795444], [21.610470, 23.519944, 25.052989, 30.577436, 46.835215], [13.744780, 14.441199, 14.567818, 16.907507, 121.670472]]
### 2
mean: [-0.843196, -0.235530, 0.964621, -0.322805, -0.595197, 1.040981, -0.236633, 0.497555]
std: [0.935870, 1.031278, 1.235129, 1.615036, 0.809761, 0.702437, 1.742638, 0.856088]
pca: [[0.223015, 0.606945, 0.367822, 0.002120, -0.477359, 0.177809, 0.349621, 0.254679, 0.000000, 0.000000], [0.323654, -0.164407, 0.291696, 0.008441, 0.154817, 0.796427, -0.220701, -0.275838, 0.000000, 0.000000], [-0.384650, 0.039197, 0.600828, 0.628383, 0.270948, -0.115347, -0.070050, 0.054985, 0.000000, 0.000000], [0.514696, -0.113244, 0.135436, -0.029881, 0.564986, -0.217394, 0.578751, 0.040080, 0.000000, 0.000000], [0.148836, 0.658691, 0.054040, -0.235789, 0.376100, -0.236390, -0.465771, -0.266801, 0.000000, 0.000000], [-0.196169, -0.239844, 0.542082, -0.516454, -0.223233, -0.243898, 0.132543, -0.465326, 0.000000, 0.000000], [0.547665, -0.309088, 0.250805, 0.085847, -0.273216, -0.356631, -0.490067, 0.303737, 0.000000, 0.000000], [-0.268463, -0.057385, 0.201513, -0.523904, 0.299342, 0.175982, -0.120505, 0.688807, 0.000000, 0.000000]]
fourier: [[14.793330, 15.020148, 16.327939, 17.246396, 75.887631], [17.236787, 18.865102, 19.072562, 21.197697, 22.093866], [20.637478, 21.358423, 24.237638, 26.851117, 86.815853], [26.862350, 29.052407, 30.683759, 31.294387, 35.473144], [12.841275, 13.998385, 14.072727, 17.137233, 53.567737], [11.823256, 11.827782, 13.349647, 16.192301, 93.688277], [28.655869, 29.454267, 31.364783, 32.764272, 36.822032], [15.173540, 15.292833, 17.313878, 19.029629, 44.779970]]
### 4
mean: [0.599785, 0.637553, -1.226565, 0.264046, 0.243079, -1.255962, 0.523873, 0.132219]
std: [1.952319, 0.721080, 0.506123, 0.692923, 1.059436, 0.365528, 1.529780, 1.432404]
pca: [[0.608262, -0.316537, 0.129033, 0.014380, -0.022193, 0.187931, -0.049845, 0.688963, 0.000000, 0.000000], [-0.209001, -0.357094, 0.376560, 0.635034, -0.416446, 0.244601, -0.162450, -0.155210, 0.000000, 0.000000], [0.026654, 0.703590, 0.168275, 0.357747, -0.233457, -0.393443, -0.122329, 0.351693, 0.000000, 0.000000], [-0.213960, -0.080135, -0.317386, 0.538543, 0.700293, 0.013880, -0.152158, 0.208045, 0.000000, 0.000000], [-0.330173, -0.061468, 0.651284, -0.092603, 0.313859, -0.097755, 0.546094, 0.219498, 0.000000, 0.000000], [-0.025972, 0.503574, 0.111961, -0.046221, 0.113922, 0.847222, -0.016478, 0.005665, 0.000000, 0.000000], [0.478768, 0.068573, 0.487445, 0.030890, 0.411545, -0.148086, -0.358895, -0.455433, 0.000000, 0.000000], [0.448263, 0.093602, -0.195434, 0.408471, -0.017689, 0.024303, 0.711136, -0.280425, 0.000000, 0.000000]]
fourier: [[31.812643, 35.665848, 36.024773, 40.858974, 53.980674], [11.919627, 12.075990, 12.512442, 12.854503, 57.379782], [7.688044, 8.894018, 9.898521, 10.386074, 110.390843], [11.316776, 11.533385, 12.364855, 13.539934, 23.764179], [17.619030, 17.868202, 17.914618, 21.048285, 21.877072], [5.351713, 5.752226, 6.258132, 7.135841, 113.036605], [23.384660, 25.408117, 27.036349, 31.446170, 47.148604], [22.201673, 22.422206, 23.451361, 24.978817, 29.642929]]
### 6
mean: [0.737065, 0.221079, 0.093967, -0.606927, -1.173013, 0.383443, 0.476456, -0.577485]
std: [2.213463, 1.157488, 0.221037, 1.979922, 0.260064, 1.911187, 0.885038, 2.235371]
pca: [[-0.500556, 0.149641, -0.034657, 0.408853, 0.304576, -0.155693, 0.263809, 0.609989, 0.000000, 0.000000], [0.259918, -0.339986, 0.021257, -0.547895, 0.533728, -0.387704, 0.041897, 0.281559, 0.000000, 0.000000], [0.041638, 0.296038, 0.319627, -0.269477, 0.072115, 0.553101, -0.458053, 0.463589, 0.000000, 0.000000], [0.447672, 0.162753, 0.074238, 0.097376, 0.290376, 0.456228, 0.680058, -0.056271, 0.000000, 0.000000], [0.013045, 0.619147, 0.570534, -0.133398, -0.034392, -0.476287, 0.119741, -0.175536, 0.000000, 0.000000], [-0.431526, 0.289740, -0.301497, -0.225194, 0.562507, 0.173102, -0.115972, -0.477908, 0.000000, 0.000000], [0.198957, -0.229055, 0.392517, 0.583137, 0.459442, -0.036738, -0.392093, -0.218308, 0.000000, 0.000000], [0.503759, 0.477632, -0.565858, 0.204927, 0.064538, -0.230690, -0.273556, 0.153911, 0.000000, 0.000000]]
fourier: [[37.208721, 41.997434, 42.380677, 47.176851, 66.335880], [18.959013, 19.897073, 21.321896, 21.475645, 23.891382], [3.553954, 3.959310, 4.397970, 5.189389, 8.457022], [33.803594, 37.649175, 38.836905, 43.032436, 54.623453], [4.215735, 4.384770, 4.888224, 5.067923, 105.571152], [31.936456, 34.509904, 35.824244, 36.062631, 40.445947], [14.703900, 16.150607, 16.337172, 18.702797, 42.881046], [38.578268, 42.572335, 44.854094, 48.681848, 51.973656]]
### 8
mean: [0.514576, 0.215724, 0.159650, -0.133485, 0.281089, -0.151383, 0.862415, 0.714269]
std: [1.703842, 1.100612, 1.255745, 1.006715, 1.530259, 0.309088, 1.472162, 2.048356]
pca: [[0.436162, 0.276883, 0.051217, 0.047018, 0.378268, 0.342069, 0.682516, 0.048365, 0.000000, 0.000000], [0.281924, -0.159996, 0.638617, -0.324810, -0.141339, -0.130779, -0.038428, 0.585688, 0.000000, 0.000000], [-0.321160, 0.218215, -0.421756, -0.014851, -0.354885, 0.301918, 0.148172, 0.657333, 0.000000, 0.000000], [-0.251414, -0.382153, 0.116069, 0.013121, 0.521971, 0.624795, -0.306458, 0.142708, 0.000000, 0.000000], [0.392114, 0.222748, -0.383285, 0.117619, 0.456070, -0.317487, -0.439835, 0.365563, 0.000000, 0.000000], [-0.059457, -0.320998, 0.144012, 0.862146, -0.023916, -0.200354, 0.195789, 0.224370, 0.000000, 0.000000], [-0.359204, 0.734956, 0.478332, 0.221433, 0.121805, 0.015403, -0.194628, -0.005016, 0.000000, 0.000000], [0.526891, 0.106123, 0.041797, 0.292800, -0.463822, 0.493138, -0.383608, -0.134811, 0.000000, 0.000000]]
fourier: [[28.905756, 33.745276, 34.013489, 37.214216, 46.311837], [18.633869, 19.415149, 19.951551, 20.707941, 24.071765], [19.879769, 21.082585, 22.501409, 23.714753, 27.232922], [15.725246, 16.798639, 19.978975, 20.928089, 21.852136], [25.298053, 25.800848, 30.398217, 30.492503, 33.218285], [4.834211, 5.355556, 6.129654, 6.229817, 13.624441], [23.252193, 24.266098, 25.750356, 30.243522, 77.617376], [34.695909, 39.807329, 40.139907, 44.607778, 64.284168]]
### 10
mean: [-1.105649, -0.571738, 1.137842, -1.466197, 0.953341, 0.886137, -0.582016, -0.500233]
std: [1.850710, 2.305738, 2.775371, 2.762451, 2.152362, 2.179352, 3.981314, 2.310064]
pca: [[0.247855, 0.613484, 0.139563, 0.356646, -0.148217, -0.585840, -0.126080, 0.185629, 0.000000, 0.000000], [0.312365, -0.106890, 0.756908, -0.206988, 0.072155, -0.097477, 0.486365, -0.154890, 0.000000, 0.000000], [-0.376038, 0.182022, -0.182262, 0.179838, 0.529551, -0.086805, 0.631711, 0.269971, 0.000000, 0.000000], [0.372735, 0.569429, 0.001705, -0.212318, 0.217926, 0.639077, -0.053698, 0.181503, 0.000000, 0.000000], [-0.291717, 0.022857, 0.444060, 0.358188, 0.533397, 0.115043, -0.480507, -0.245473, 0.000000, 0.000000], [-0.295246, -0.147058, 0.390963, 0.047148, -0.285546, 0.184781, -0.102979, 0.780925, 0.000000, 0.000000], [0.538979, -0.438605, -0.148034, -0.009852, 0.490676, -0.225077, -0.206458, 0.401334, 0.000000, 0.000000], [0.312879, -0.200769, -0.049343, 0.788620, -0.195185, 0.365098, 0.247982, -0.067483, 0.000000, 0.000000]]
fourier: [[30.882591, 36.469222, 38.779216, 39.930664, 99.508399], [39.410019, 45.541053, 45.593425, 49.699893, 51.456447], [47.157250, 54.671775, 55.346634, 59.986335, 102.405801], [46.512177, 55.103405, 56.866174, 59.600379, 131.957676], [36.332204, 42.755557, 43.452703, 46.569507, 85.800683], [36.837032, 43.850570, 43.907927, 47.201275, 79.752342], [63.755708, 67.673226, 77.520376, 79.615053, 86.148407], [39.232613, 45.020993, 45.387442, 46.024939, 50.173961]]
### 12
mean: [-1.505224]
std: [3.565928]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[60.193160, 71.132529, 72.081739, 77.468598, 135.470153]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 0.6786088347434998, "train_acc": 0.595, "val_loss": 0.732989490032196, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.671536386013031, "train_acc": 0.595, "val_loss": 0.7576481699943542, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6709223985671997, "train_acc": 0.595, "val_loss": 0.7586755156517029, "val_acc": 0.42}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6547638177871704, "train_acc": 0.595, "val_loss": 0.7005681395530701, "val_acc": 0.48}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.5987246334552765, "train_acc": 0.64, "val_loss": 0.5617733597755432, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5262196362018585, "train_acc": 0.79, "val_loss": 0.438079833984375, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.38286156952381134, "train_acc": 0.85, "val_loss": 0.5541382431983948, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.38337133824825287, "train_acc": 0.86, "val_loss": 0.3405618667602539, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.3665347397327423, "train_acc": 0.86, "val_loss": 0.3697248697280884, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.3510738015174866, "train_acc": 0.86, "val_loss": 0.33558058738708496, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.33282704651355743, "train_acc": 0.865, "val_loss": 0.32650911808013916, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.3074188828468323, "train_acc": 0.885, "val_loss": 0.3661496043205261, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.3268062621355057, "train_acc": 0.87, "val_loss": 0.2955906093120575, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.2747057378292084, "train_acc": 0.89, "val_loss": 0.29248058795928955, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.3200783133506775, "train_acc": 0.89, "val_loss": 0.28119418025016785, "val_acc": 0.88}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.732989490032196, "final_val_loss": 0.5617733597755432, "initial_val_acc": 0.42, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.438079833984375, "final_val_loss": 0.28119418025016785, "initial_val_acc": 0.8, "final_val_acc": 0.88, "best_val_acc": 0.9, "best_epoch": 13}, "improvement": 0.20000000000000007, "first_improvement_epoch": 4}}
|
9,770
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.46, "improved_accuracy": 0.94, "improvement": 0.4799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9933, "learning_rate": 0.02585234033642174, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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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: [-2.326136, 1.365667, 0.272098, -0.487682, 2.217757, 0.894904, -1.177452]
std: [1.627680, 2.202286, 0.989190, 1.383727, 2.403693, 1.019843, 1.121400]
pca: [[-0.266957, 0.558384, 0.477009, -0.247103, -0.197606, 0.487659, -0.226900, 0.000000, 0.000000, 0.000000], [0.602804, -0.165699, 0.541178, -0.034916, 0.022224, -0.251571, -0.501295, 0.000000, 0.000000, 0.000000], [0.125914, 0.116275, 0.017714, 0.902265, -0.324744, 0.218554, -0.054820, 0.000000, 0.000000, 0.000000], [-0.060370, -0.551491, 0.510833, -0.052915, -0.292323, 0.208188, 0.547420, 0.000000, 0.000000, 0.000000], [0.680190, 0.416910, -0.053779, -0.111110, 0.145164, 0.199543, 0.536097, 0.000000, 0.000000, 0.000000], [0.153975, -0.402706, -0.226617, -0.041935, 0.340180, 0.750948, -0.285238, 0.000000, 0.000000, 0.000000], [-0.243916, 0.084280, 0.405064, 0.326703, 0.795457, -0.063657, 0.160580, 0.000000, 0.000000, 0.000000]]
fourier: [[24.912794, 25.350554, 26.944820, 32.910478, 209.352212], [33.641056, 33.707219, 33.905304, 36.301918, 122.910071], [15.370099, 15.537566, 16.994081, 19.854189, 24.488835], [23.297563, 25.824105, 26.874175, 26.883068, 43.891376], [41.027351, 42.168629, 44.019416, 44.283675, 199.598105], [14.958238, 16.486352, 17.156272, 20.820050, 80.541405], [16.966789, 17.688159, 19.422366, 22.000093, 105.970696]]
### 2
mean: [2.049201, -0.756858, -0.305385, 1.728522, 1.654132, -0.589624, 2.214193]
std: [1.883427, 0.866260, 0.706807, 1.770181, 1.518735, 1.025948, 2.166253]
pca: [[0.488861, 0.130384, 0.316624, -0.169551, 0.119961, 0.631095, -0.449829, 0.000000, 0.000000, 0.000000], [-0.089128, 0.739048, -0.043520, -0.615560, -0.114692, -0.046410, 0.223043, 0.000000, 0.000000, 0.000000], [-0.015136, 0.649045, 0.131814, 0.743663, 0.037713, -0.044660, -0.068444, 0.000000, 0.000000, 0.000000], [0.460800, -0.068846, 0.045280, 0.163642, -0.466199, 0.256338, 0.686327, 0.000000, 0.000000, 0.000000], [0.394685, -0.005900, 0.295723, -0.064869, 0.709999, -0.358306, 0.346477, 0.000000, 0.000000, 0.000000], [-0.257397, -0.096843, 0.881313, -0.074482, -0.320614, -0.197118, -0.021443, 0.000000, 0.000000, 0.000000], [0.564337, 0.037353, -0.119439, -0.052620, -0.383144, -0.603841, -0.389450, 0.000000, 0.000000, 0.000000]]
fourier: [[29.087749, 32.755841, 33.076327, 35.398416, 184.428108], [12.906557, 13.910873, 15.564759, 19.204535, 68.117235], [10.447792, 12.597320, 13.311486, 14.361593, 27.484683], [28.223310, 30.450120, 31.477310, 31.677121, 155.567006], [24.405122, 25.938217, 27.081154, 28.461415, 148.871860], [15.378917, 16.139313, 18.537008, 18.828137, 53.066122], [33.351301, 36.920943, 39.309143, 39.543023, 199.277395]]
### 4
mean: [-2.486289, 0.075638, 2.573360, 2.236422, -0.371053, 1.921450, 2.448512]
std: [2.131943, 0.531822, 2.619581, 2.616321, 0.534974, 2.263343, 2.242681]
pca: [[-0.392942, 0.707528, 0.285246, -0.122571, 0.148711, 0.430981, 0.201872, 0.000000, 0.000000, 0.000000], [-0.095472, -0.310435, -0.351512, -0.039214, 0.586599, 0.143709, 0.636133, 0.000000, 0.000000, 0.000000], [0.486146, 0.556747, -0.374492, -0.159934, 0.392560, -0.328981, -0.159810, 0.000000, 0.000000, 0.000000], [0.487615, -0.179572, 0.162746, 0.053046, 0.282896, 0.709517, -0.342404, 0.000000, 0.000000, 0.000000], [-0.099485, 0.008116, 0.438617, 0.666336, 0.487473, -0.324431, -0.103747, 0.000000, 0.000000, 0.000000], [0.421546, 0.233897, -0.111920, 0.576470, -0.402420, 0.148341, 0.488673, 0.000000, 0.000000, 0.000000], [0.418063, -0.077762, 0.650717, -0.422759, 0.009060, -0.233878, 0.402787, 0.000000, 0.000000, 0.000000]]
fourier: [[34.283170, 36.159741, 36.517580, 37.053250, 223.765973], [7.687611, 8.421705, 9.053128, 9.266675, 10.136779], [40.405179, 45.149965, 45.296333, 49.659461, 231.602446], [41.548909, 45.479926, 45.498861, 47.784570, 201.277962], [8.300405, 8.866640, 9.453014, 9.804237, 33.394727], [35.727975, 39.065747, 39.248836, 42.074603, 172.930497], [35.296421, 39.051886, 39.423937, 41.151263, 220.366122]]
### 6
mean: [4.094391, 2.504364, -0.868472, 2.252235, 2.586237, 2.276576, -0.252995]
std: [4.507648, 3.039010, 1.545325, 2.775677, 3.006016, 2.421656, 0.561371]
pca: [[0.608741, 0.157815, -0.366304, 0.031396, -0.136008, -0.630158, 0.231879, 0.000000, 0.000000, 0.000000], [0.410366, -0.247848, 0.413501, -0.508031, -0.549578, 0.196154, 0.024091, 0.000000, 0.000000, 0.000000], [-0.208623, 0.185935, 0.568445, 0.255468, -0.087786, -0.196929, 0.697871, 0.000000, 0.000000, 0.000000], [0.374618, 0.556357, -0.117676, 0.298169, -0.097882, 0.650377, 0.121675, 0.000000, 0.000000, 0.000000], [0.405948, 0.085473, 0.383282, -0.252321, 0.785386, 0.000462, -0.022326, 0.000000, 0.000000, 0.000000], [0.326841, -0.475774, 0.269523, 0.722339, -0.024217, -0.017276, -0.267417, 0.000000, 0.000000, 0.000000], [-0.074514, 0.579564, 0.371904, 0.036198, -0.211571, -0.319929, -0.609765, 0.000000, 0.000000, 0.000000]]
fourier: [[71.815361, 76.975555, 78.381304, 82.106010, 368.495205], [48.354737, 51.754999, 52.570239, 55.735261, 225.392803], [25.117410, 25.749089, 26.447728, 28.137615, 78.162494], [43.693035, 48.181614, 48.845370, 50.293800, 202.701164], [47.673012, 51.603044, 52.504949, 54.712672, 232.761368], [38.842000, 40.599545, 41.519257, 44.589746, 204.891795], [8.614678, 8.797880, 9.570649, 10.318559, 22.769512]]
### 8
mean: [-0.454354, 4.195743, 4.336612, 2.194109, 4.912945, 3.124943, 0.158247]
std: [0.413797, 5.067500, 5.447542, 2.837340, 6.136415, 3.473927, 0.270276]
pca: [[-0.038537, -0.176464, 0.813019, -0.101195, -0.322740, -0.308049, 0.311578, 0.000000, 0.000000, 0.000000], [0.475973, -0.071339, -0.238518, -0.241382, 0.198328, 0.015638, 0.783343, 0.000000, 0.000000, 0.000000], [0.511666, -0.168902, -0.086073, 0.601768, -0.558865, 0.164241, -0.028841, 0.000000, 0.000000, 0.000000], [0.266496, -0.023652, 0.323081, -0.421982, -0.014139, 0.776305, -0.207656, 0.000000, 0.000000, 0.000000], [0.576374, 0.094058, -0.052454, -0.413056, -0.067008, -0.521302, -0.457530, 0.000000, 0.000000, 0.000000], [0.326268, 0.263706, 0.408955, 0.468783, 0.656712, -0.026378, -0.070997, 0.000000, 0.000000, 0.000000], [-0.022015, 0.925363, 0.017989, -0.030461, -0.328960, 0.052787, 0.175973, 0.000000, 0.000000, 0.000000]]
fourier: [[6.729858, 6.892879, 7.063432, 7.154337, 40.891851], [81.851575, 85.100087, 87.820909, 91.148105, 377.616789], [87.830566, 91.340629, 94.478807, 98.080234, 390.295121], [45.889008, 47.562916, 48.973928, 51.240251, 197.469831], [99.298371, 102.812937, 106.097819, 110.431600, 442.165035], [56.440703, 57.762244, 59.855266, 62.451457, 281.244934], [4.927924, 4.929746, 5.231315, 5.312631, 14.242221]]
### 10
mean: [-6.673890]
std: [8.338316]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[136.236851, 137.229371, 143.050815, 148.091064, 600.650155]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.16529,
-0.424703,
-0.205224,
-0.435138,
0.138174,
0.229504
],
"network.10.weight": [
[
-0.088697,
-0.563498,
-0.39236,
-0.383271,
-0.37337,
-0.022743,
0.202692
]
],
"network.10.bias": [
0.246579
]
}
## Activation Signature
### 0
mean: [-2.326136, 1.365667, 0.272098, -0.487682, 2.217757, 0.894904, -1.177452]
std: [1.627680, 2.202286, 0.989190, 1.383727, 2.403693, 1.019843, 1.121400]
pca: [[-0.266957, 0.558384, 0.477009, -0.247103, -0.197606, 0.487659, -0.226900, 0.000000, 0.000000, 0.000000], [0.602804, -0.165699, 0.541178, -0.034916, 0.022224, -0.251571, -0.501295, 0.000000, 0.000000, 0.000000], [0.125914, 0.116275, 0.017714, 0.902265, -0.324744, 0.218554, -0.054820, 0.000000, 0.000000, 0.000000], [-0.060370, -0.551491, 0.510833, -0.052915, -0.292323, 0.208188, 0.547420, 0.000000, 0.000000, 0.000000], [0.680190, 0.416910, -0.053779, -0.111110, 0.145164, 0.199543, 0.536097, 0.000000, 0.000000, 0.000000], [0.153975, -0.402706, -0.226617, -0.041935, 0.340180, 0.750948, -0.285238, 0.000000, 0.000000, 0.000000], [-0.243916, 0.084280, 0.405064, 0.326703, 0.795457, -0.063657, 0.160580, 0.000000, 0.000000, 0.000000]]
fourier: [[24.912794, 25.350554, 26.944820, 32.910478, 209.352212], [33.641056, 33.707219, 33.905304, 36.301918, 122.910071], [15.370099, 15.537566, 16.994081, 19.854189, 24.488835], [23.297563, 25.824105, 26.874175, 26.883068, 43.891376], [41.027351, 42.168629, 44.019416, 44.283675, 199.598105], [14.958238, 16.486352, 17.156272, 20.820050, 80.541405], [16.966789, 17.688159, 19.422366, 22.000093, 105.970696]]
### 2
mean: [2.049201, -0.756858, -0.305385, 1.728522, 1.654132, -0.589624, 2.214193]
std: [1.883427, 0.866260, 0.706807, 1.770181, 1.518735, 1.025948, 2.166253]
pca: [[0.488861, 0.130384, 0.316624, -0.169551, 0.119961, 0.631095, -0.449829, 0.000000, 0.000000, 0.000000], [-0.089128, 0.739048, -0.043520, -0.615560, -0.114692, -0.046410, 0.223043, 0.000000, 0.000000, 0.000000], [-0.015136, 0.649045, 0.131814, 0.743663, 0.037713, -0.044660, -0.068444, 0.000000, 0.000000, 0.000000], [0.460800, -0.068846, 0.045280, 0.163642, -0.466199, 0.256338, 0.686327, 0.000000, 0.000000, 0.000000], [0.394685, -0.005900, 0.295723, -0.064869, 0.709999, -0.358306, 0.346477, 0.000000, 0.000000, 0.000000], [-0.257397, -0.096843, 0.881313, -0.074482, -0.320614, -0.197118, -0.021443, 0.000000, 0.000000, 0.000000], [0.564337, 0.037353, -0.119439, -0.052620, -0.383144, -0.603841, -0.389450, 0.000000, 0.000000, 0.000000]]
fourier: [[29.087749, 32.755841, 33.076327, 35.398416, 184.428108], [12.906557, 13.910873, 15.564759, 19.204535, 68.117235], [10.447792, 12.597320, 13.311486, 14.361593, 27.484683], [28.223310, 30.450120, 31.477310, 31.677121, 155.567006], [24.405122, 25.938217, 27.081154, 28.461415, 148.871860], [15.378917, 16.139313, 18.537008, 18.828137, 53.066122], [33.351301, 36.920943, 39.309143, 39.543023, 199.277395]]
### 4
mean: [-2.486289, 0.075638, 2.573360, 2.236422, -0.371053, 1.921450, 2.448512]
std: [2.131943, 0.531822, 2.619581, 2.616321, 0.534974, 2.263343, 2.242681]
pca: [[-0.392942, 0.707528, 0.285246, -0.122571, 0.148711, 0.430981, 0.201872, 0.000000, 0.000000, 0.000000], [-0.095472, -0.310435, -0.351512, -0.039214, 0.586599, 0.143709, 0.636133, 0.000000, 0.000000, 0.000000], [0.486146, 0.556747, -0.374492, -0.159934, 0.392560, -0.328981, -0.159810, 0.000000, 0.000000, 0.000000], [0.487615, -0.179572, 0.162746, 0.053046, 0.282896, 0.709517, -0.342404, 0.000000, 0.000000, 0.000000], [-0.099485, 0.008116, 0.438617, 0.666336, 0.487473, -0.324431, -0.103747, 0.000000, 0.000000, 0.000000], [0.421546, 0.233897, -0.111920, 0.576470, -0.402420, 0.148341, 0.488673, 0.000000, 0.000000, 0.000000], [0.418063, -0.077762, 0.650717, -0.422759, 0.009060, -0.233878, 0.402787, 0.000000, 0.000000, 0.000000]]
fourier: [[34.283170, 36.159741, 36.517580, 37.053250, 223.765973], [7.687611, 8.421705, 9.053128, 9.266675, 10.136779], [40.405179, 45.149965, 45.296333, 49.659461, 231.602446], [41.548909, 45.479926, 45.498861, 47.784570, 201.277962], [8.300405, 8.866640, 9.453014, 9.804237, 33.394727], [35.727975, 39.065747, 39.248836, 42.074603, 172.930497], [35.296421, 39.051886, 39.423937, 41.151263, 220.366122]]
### 6
mean: [4.094391, 2.504364, -0.868472, 2.252235, 2.586237, 2.276576, -0.252995]
std: [4.507648, 3.039010, 1.545325, 2.775677, 3.006016, 2.421656, 0.561371]
pca: [[0.608741, 0.157815, -0.366304, 0.031396, -0.136008, -0.630158, 0.231879, 0.000000, 0.000000, 0.000000], [0.410366, -0.247848, 0.413501, -0.508031, -0.549578, 0.196154, 0.024091, 0.000000, 0.000000, 0.000000], [-0.208623, 0.185935, 0.568445, 0.255468, -0.087786, -0.196929, 0.697871, 0.000000, 0.000000, 0.000000], [0.374618, 0.556357, -0.117676, 0.298169, -0.097882, 0.650377, 0.121675, 0.000000, 0.000000, 0.000000], [0.405948, 0.085473, 0.383282, -0.252321, 0.785386, 0.000462, -0.022326, 0.000000, 0.000000, 0.000000], [0.326841, -0.475774, 0.269523, 0.722339, -0.024217, -0.017276, -0.267417, 0.000000, 0.000000, 0.000000], [-0.074514, 0.579564, 0.371904, 0.036198, -0.211571, -0.319929, -0.609765, 0.000000, 0.000000, 0.000000]]
fourier: [[71.815361, 76.975555, 78.381304, 82.106010, 368.495205], [48.354737, 51.754999, 52.570239, 55.735261, 225.392803], [25.117410, 25.749089, 26.447728, 28.137615, 78.162494], [43.693035, 48.181614, 48.845370, 50.293800, 202.701164], [47.673012, 51.603044, 52.504949, 54.712672, 232.761368], [38.842000, 40.599545, 41.519257, 44.589746, 204.891795], [8.614678, 8.797880, 9.570649, 10.318559, 22.769512]]
### 8
mean: [-0.454354, 4.195743, 4.336612, 2.194109, 4.912945, 3.124943, 0.158247]
std: [0.413797, 5.067500, 5.447542, 2.837340, 6.136415, 3.473927, 0.270276]
pca: [[-0.038537, -0.176464, 0.813019, -0.101195, -0.322740, -0.308049, 0.311578, 0.000000, 0.000000, 0.000000], [0.475973, -0.071339, -0.238518, -0.241382, 0.198328, 0.015638, 0.783343, 0.000000, 0.000000, 0.000000], [0.511666, -0.168902, -0.086073, 0.601768, -0.558865, 0.164241, -0.028841, 0.000000, 0.000000, 0.000000], [0.266496, -0.023652, 0.323081, -0.421982, -0.014139, 0.776305, -0.207656, 0.000000, 0.000000, 0.000000], [0.576374, 0.094058, -0.052454, -0.413056, -0.067008, -0.521302, -0.457530, 0.000000, 0.000000, 0.000000], [0.326268, 0.263706, 0.408955, 0.468783, 0.656712, -0.026378, -0.070997, 0.000000, 0.000000, 0.000000], [-0.022015, 0.925363, 0.017989, -0.030461, -0.328960, 0.052787, 0.175973, 0.000000, 0.000000, 0.000000]]
fourier: [[6.729858, 6.892879, 7.063432, 7.154337, 40.891851], [81.851575, 85.100087, 87.820909, 91.148105, 377.616789], [87.830566, 91.340629, 94.478807, 98.080234, 390.295121], [45.889008, 47.562916, 48.973928, 51.240251, 197.469831], [99.298371, 102.812937, 106.097819, 110.431600, 442.165035], [56.440703, 57.762244, 59.855266, 62.451457, 281.244934], [4.927924, 4.929746, 5.231315, 5.312631, 14.242221]]
### 10
mean: [-6.673890]
std: [8.338316]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[136.236851, 137.229371, 143.050815, 148.091064, 600.650155]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 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": [[-0.081733, -0.332897, -0.159302, -0.580341, 0.313199], [0.784672, 0.667835, -0.277478, -0.060156, 0.108461], [-0.213234, 0.529589, 0.180378, -0.287561, 0.056079], [0.083705, 0.24052, -0.706548, 0.119582, -0.048993], [0.757049, 0.339486, 0.504164, -0.137666, 0.102968], [0.125834, 0.135963, -0.006927, 0.417325, -0.169876], [-0.327958, 0.083439, -0.316561, -0.312751, 0.321798]], "network.0.bias": [-0.426816, -0.252904, -0.256866, 0.249758, -0.227887, -0.180391, 0.013684], "network.2.weight": [[-0.223923, 0.362706, 0.223428, 0.837636, 0.402874, 0.342362, -0.17307], [-0.234668, 0.156755, 0.125917, 0.622388, -0.378225, 0.196844, 0.492054], [0.105418, 0.251786, 0.030431, 0.246824, -0.351154, 0.341083, 0.063024], [-0.243952, 0.316556, 0.26325, 0.41212, 0.412164, 0.295911, -0.04823], [0.332053, 0.191128, 0.185975, 0.676503, 0.413148, 0.253948, -0.428792], [0.101581, -0.332763, -0.521106, -0.100409, -0.034145, -0.114752, 0.401161], [-0.065945, 0.372438, 0.46697, 0.679372, 0.475925, 0.412904, -0.016747]], "network.2.bias": [0.070822, -0.496688, -0.251204, -0.100528, 0.0519, 0.325446, -0.064079], "network.4.weight": [[0.023673, 0.424682, 0.165466, -0.308516, -0.418514, -0.334414, -0.466069], [-0.341517, -0.458568, 0.099735, 0.115764, 0.048402, 0.303981, -0.036626], [0.38743, 0.701098, 0.263936, 0.013835, 0.512699, -0.518259, 0.421287], [0.378252, 0.071205, -0.039119, 0.279808, 0.371356, -0.311174, 0.356673], [0.235016, -0.022276, -0.153246, -0.135625, -0.09949, 0.056981, -0.261651], [0.415944, 0.640815, -0.155267, -0.030684, 0.516507, -0.259422, 0.294758], [0.504774, 0.059018, 0.066201, 0.42447, -0.044978, -0.486492, 0.244039]], "network.4.bias": [-0.345621, 0.543313, 0.082047, -0.323881, 0.1154, -0.27842, 0.29734], "network.6.weight": [[0.367667, -0.65865, 0.346648, 0.559543, -0.159493, 0.412761, 0.456256], [-0.037479, -0.416073, 0.320222, 0.122774, 0.091696, 0.499903, 0.295126], [-0.432558, 0.018523, -0.145808, -0.158117, -0.134087, -0.307287, -0.016824], [0.013448, -0.654778, 0.086168, 0.456904, -0.384588, 0.027677, 0.496233], [0.389406, -0.613097, 0.086673, 0.055515, 0.021093, 0.573004, 0.523023], [0.160752, -0.052264, 0.444897, 0.190818, -0.077316, 0.371392, -0.047155], [-0.267698, -0.27544, -0.228638, -0.040963, -0.190494, -0.311721, 0.351209]], "network.6.bias": [0.210257, -0.177042, 0.43569, -0.14365, 0.02337, 0.143456, 0.184954], "network.8.weight": [[-0.100003, 0.247363, -0.127199, -0.291172, -0.098794, 0.152275, 0.002096], [0.419527, 0.176575, -0.382382, 0.408143, 0.350776, 0.17612, -0.108129], [0.567068, -0.039655, -0.265161, 0.38962, 0.238036, 0.474419, -0.484637], [0.261956, 0.557598, -0.288591, 0.101142, -0.108433, -0.001925, -0.014629], [0.497739, 0.077646, -0.314855, 0.495721, 0.453725, 0.376629, 0.069755], [0.181075, 0.408763, -0.105127, 0.372345, -0.091278, 0.274336, -0.01927], [-0.017362, -0.09701, 0.623752, 0.288857, -0.169642, -0.010118, 0.565636]], "network.8.bias": [-0.077754, -0.16529, -0.424703, -0.205224, -0.435138, 0.138174, 0.229504], "network.10.weight": [[-0.088697, -0.563498, -0.39236, -0.383271, -0.37337, -0.022743, 0.202692]], "network.10.bias": [0.246579]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6894141733646393, "train_acc": 0.49, "val_loss": 0.6905810832977295, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6603689789772034, "train_acc": 0.58, "val_loss": 0.6618183851242065, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.5931938290596008, "train_acc": 0.58, "val_loss": 0.6273975372314453, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6058461368083954, "train_acc": 0.51, "val_loss": 0.6026415228843689, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5750096142292023, "train_acc": 0.51, "val_loss": 0.5408567190170288, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4988875091075897, "train_acc": 0.765, "val_loss": 0.45582789182662964, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4328605681657791, "train_acc": 0.795, "val_loss": 0.4187090992927551, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.40663832426071167, "train_acc": 0.805, "val_loss": 0.3811059594154358, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3540804386138916, "train_acc": 0.895, "val_loss": 0.3652978241443634, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.31873278319835663, "train_acc": 0.94, "val_loss": 0.3372611105442047, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2898152768611908, "train_acc": 0.94, "val_loss": 0.29796087741851807, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2513042166829109, "train_acc": 0.945, "val_loss": 0.2497691661119461, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.21078510582447052, "train_acc": 0.96, "val_loss": 0.2286013811826706, "val_acc": 0.94}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6905810832977295, "final_val_loss": 0.6273975372314453, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.6026415228843689, "final_val_loss": 0.2286013811826706, "initial_val_acc": 0.46, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 9}, "improvement": 0.4799999999999999, "first_improvement_epoch": 2}}
|
9,771
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.72, "improved_accuracy": 0.92, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3629, "learning_rate": 0.06882190105300612, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.207455,
0.472693,
0.078666
],
[
0.42489,
0.414045,
-0.067093,
0.583037,
0.187039,
-0.017239
],
[
-0.498222,
-0.403245,
0.143628,
-0.661988,
0.342765,
0.159607
]
],
"network.6.bias": [
-0.132599,
0.088666,
-0.202323,
0.413812,
-0.173429,
0.121501
],
"network.8.weight": [
[
0.430343,
0.258604,
0.400858,
-0.362536,
-0.157829,
0.427533
]
],
"network.8.bias": [
-0.148189
]
}
## Activation Signature
### 0
mean: [1.292251, 2.153924, 0.405156, 2.333981, 2.321866, -0.300856]
std: [1.415663, 2.159106, 1.514048, 2.148267, 2.231468, 2.185524]
pca: [[0.238022, 0.459877, -0.306062, 0.526793, -0.212929, 0.561547, 0.000000, 0.000000, 0.000000, 0.000000], [0.462051, 0.461276, -0.213636, -0.101130, 0.623918, -0.358598, 0.000000, 0.000000, 0.000000, 0.000000], [-0.289939, 0.113743, 0.643017, 0.472971, 0.499929, 0.126079, 0.000000, 0.000000, 0.000000, 0.000000], [0.487454, 0.017882, 0.415402, 0.352520, -0.462811, -0.501046, 0.000000, 0.000000, 0.000000, 0.000000], [0.501870, -0.003636, 0.478409, -0.496377, 0.014482, 0.522148, 0.000000, 0.000000, 0.000000, 0.000000], [-0.395355, 0.749978, 0.213965, -0.343366, -0.317892, -0.128421, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.916471, 20.671876, 26.037392, 28.372442, 116.302636], [32.068197, 33.722597, 42.295302, 43.701047, 193.853135], [22.299819, 24.235329, 31.783031, 35.039738, 36.464073], [35.690900, 36.260792, 37.406839, 42.938921, 210.058275], [34.725770, 36.071496, 40.878978, 41.956975, 208.967975], [33.150610, 33.171144, 33.777961, 36.115716, 39.817233]]
### 2
mean: [-0.313462, 4.422905, -2.863040, -1.434288, -2.923661, 2.079148]
std: [1.359661, 4.093172, 3.739846, 2.628147, 2.088659, 1.838241]
pca: [[-0.177611, 0.434227, -0.145910, 0.468588, 0.196792, 0.707326, 0.000000, 0.000000, 0.000000, 0.000000], [0.605482, 0.419274, -0.005427, 0.483560, -0.335443, -0.333495, 0.000000, 0.000000, 0.000000, 0.000000], [-0.553763, 0.349280, -0.383551, 0.141007, 0.234234, -0.591177, 0.000000, 0.000000, 0.000000, 0.000000], [-0.375682, 0.494725, 0.474759, -0.297860, -0.545521, 0.048990, 0.000000, 0.000000, 0.000000, 0.000000], [-0.295313, -0.354477, 0.612590, 0.618903, 0.062942, -0.157694, 0.000000, 0.000000, 0.000000, 0.000000], [0.258546, 0.378488, 0.480527, -0.234414, 0.701663, -0.108229, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.100206, 23.609502, 24.193522, 27.841280, 28.211608], [63.173882, 72.830413, 78.854421, 86.497266, 398.061497], [60.641226, 62.486218, 62.926728, 74.367975, 257.673661], [42.784086, 42.923721, 45.495793, 49.147711, 129.085916], [33.099104, 36.904170, 39.687285, 42.339565, 263.129510], [28.300337, 30.376528, 35.541018, 38.383052, 187.123293]]
### 4
mean: [1.659964, 4.504583, 0.332525, -0.006572, 1.746010, 2.043734]
std: [1.251917, 4.438558, 1.160918, 0.361497, 2.072213, 1.339471]
pca: [[0.240196, 0.075113, 0.173260, -0.619914, 0.602166, -0.399686, 0.000000, 0.000000, 0.000000, 0.000000], [0.856318, -0.012217, -0.127188, -0.213828, -0.429751, 0.141370, 0.000000, 0.000000, 0.000000, 0.000000], [-0.094374, 0.758350, -0.189440, 0.014927, -0.331829, -0.519403, 0.000000, 0.000000, 0.000000, 0.000000], [-0.062036, -0.029762, 0.907334, -0.078497, -0.390387, -0.115962, 0.000000, 0.000000, 0.000000, 0.000000], [0.397356, -0.153357, 0.128110, 0.716790, 0.244237, -0.478266, 0.000000, 0.000000, 0.000000, 0.000000], [0.195904, 0.628260, 0.279732, 0.223188, 0.361312, 0.555249, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.202519, 21.222274, 23.786015, 26.305890, 149.396742], [70.622232, 72.937100, 83.934996, 93.026672, 405.412514], [16.477892, 18.629110, 19.804445, 22.634990, 29.927250], [5.599456, 5.671049, 6.609209, 6.626600, 7.603923], [33.076175, 33.649733, 38.263028, 42.623812, 157.140863], [20.018247, 22.766656, 23.559646, 25.317281, 183.936099]]
### 6
mean: [-1.834903, -2.321133, -0.302182, 4.896841, 2.707111, -1.550798]
std: [2.196313, 2.474740, 0.481176, 4.545698, 2.622242, 1.537182]
pca: [[-0.336793, 0.636482, -0.443769, 0.177540, -0.186265, 0.467242, 0.000000, 0.000000, 0.000000, 0.000000], [-0.387803, 0.237816, 0.142316, 0.510591, 0.567316, -0.436175, 0.000000, 0.000000, 0.000000, 0.000000], [-0.040470, 0.538421, 0.479116, -0.220279, -0.500970, -0.423579, 0.000000, 0.000000, 0.000000, 0.000000], [0.713652, 0.236328, 0.267093, 0.553732, 0.006712, 0.238427, 0.000000, 0.000000, 0.000000, 0.000000], [0.408813, 0.432956, -0.273049, -0.523323, 0.524970, -0.146304, 0.000000, 0.000000, 0.000000, 0.000000], [-0.241069, 0.071658, 0.638254, -0.280657, 0.341832, 0.577724, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.183957, 36.177340, 38.133032, 43.047989, 165.141296], [39.739011, 40.094190, 45.085531, 51.013461, 208.901950], [7.109229, 7.480307, 7.619464, 9.657443, 27.196384], [72.556871, 74.124785, 86.238891, 95.374813, 440.715665], [41.482835, 44.128346, 50.087253, 55.890155, 243.640026], [24.383250, 25.501492, 28.127772, 31.782515, 139.571848]]
### 8
mean: [-2.299921]
std: [2.319600]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.742099, 38.006338, 40.836440, 45.877296, 206.992933]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.326139,
0.102809,
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0.52166,
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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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0.409237,
-0.027047,
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],
"network.2.weight": [
[
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],
[
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0.666788,
0.241984
],
[
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],
[
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],
[
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],
[
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]
],
"network.2.bias": [
0.500225,
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0.353036,
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],
"network.4.weight": [
[
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0.02739
],
[
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-0.535956,
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0.605071
],
[
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0.386057,
0.569514,
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0.321054
],
[
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0.464896,
0.13499,
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],
[
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0.341818,
0.043619,
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-0.127126,
0.232237
],
[
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0.285903,
0.399839,
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0.27933
]
],
"network.4.bias": [
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0.347236
],
"network.6.weight": [
[
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[
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[
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[
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0.078666
],
[
0.42489,
0.414045,
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0.583037,
0.187039,
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],
[
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0.143628,
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0.342765,
0.159607
]
],
"network.6.bias": [
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0.088666,
-0.202323,
0.413812,
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0.121501
],
"network.8.weight": [
[
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0.258604,
0.400858,
-0.362536,
-0.157829,
0.427533
]
],
"network.8.bias": [
-0.148189
]
}
## Activation Signature
### 0
mean: [1.292251, 2.153924, 0.405156, 2.333981, 2.321866, -0.300856]
std: [1.415663, 2.159106, 1.514048, 2.148267, 2.231468, 2.185524]
pca: [[0.238022, 0.459877, -0.306062, 0.526793, -0.212929, 0.561547, 0.000000, 0.000000, 0.000000, 0.000000], [0.462051, 0.461276, -0.213636, -0.101130, 0.623918, -0.358598, 0.000000, 0.000000, 0.000000, 0.000000], [-0.289939, 0.113743, 0.643017, 0.472971, 0.499929, 0.126079, 0.000000, 0.000000, 0.000000, 0.000000], [0.487454, 0.017882, 0.415402, 0.352520, -0.462811, -0.501046, 0.000000, 0.000000, 0.000000, 0.000000], [0.501870, -0.003636, 0.478409, -0.496377, 0.014482, 0.522148, 0.000000, 0.000000, 0.000000, 0.000000], [-0.395355, 0.749978, 0.213965, -0.343366, -0.317892, -0.128421, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.916471, 20.671876, 26.037392, 28.372442, 116.302636], [32.068197, 33.722597, 42.295302, 43.701047, 193.853135], [22.299819, 24.235329, 31.783031, 35.039738, 36.464073], [35.690900, 36.260792, 37.406839, 42.938921, 210.058275], [34.725770, 36.071496, 40.878978, 41.956975, 208.967975], [33.150610, 33.171144, 33.777961, 36.115716, 39.817233]]
### 2
mean: [-0.313462, 4.422905, -2.863040, -1.434288, -2.923661, 2.079148]
std: [1.359661, 4.093172, 3.739846, 2.628147, 2.088659, 1.838241]
pca: [[-0.177611, 0.434227, -0.145910, 0.468588, 0.196792, 0.707326, 0.000000, 0.000000, 0.000000, 0.000000], [0.605482, 0.419274, -0.005427, 0.483560, -0.335443, -0.333495, 0.000000, 0.000000, 0.000000, 0.000000], [-0.553763, 0.349280, -0.383551, 0.141007, 0.234234, -0.591177, 0.000000, 0.000000, 0.000000, 0.000000], [-0.375682, 0.494725, 0.474759, -0.297860, -0.545521, 0.048990, 0.000000, 0.000000, 0.000000, 0.000000], [-0.295313, -0.354477, 0.612590, 0.618903, 0.062942, -0.157694, 0.000000, 0.000000, 0.000000, 0.000000], [0.258546, 0.378488, 0.480527, -0.234414, 0.701663, -0.108229, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.100206, 23.609502, 24.193522, 27.841280, 28.211608], [63.173882, 72.830413, 78.854421, 86.497266, 398.061497], [60.641226, 62.486218, 62.926728, 74.367975, 257.673661], [42.784086, 42.923721, 45.495793, 49.147711, 129.085916], [33.099104, 36.904170, 39.687285, 42.339565, 263.129510], [28.300337, 30.376528, 35.541018, 38.383052, 187.123293]]
### 4
mean: [1.659964, 4.504583, 0.332525, -0.006572, 1.746010, 2.043734]
std: [1.251917, 4.438558, 1.160918, 0.361497, 2.072213, 1.339471]
pca: [[0.240196, 0.075113, 0.173260, -0.619914, 0.602166, -0.399686, 0.000000, 0.000000, 0.000000, 0.000000], [0.856318, -0.012217, -0.127188, -0.213828, -0.429751, 0.141370, 0.000000, 0.000000, 0.000000, 0.000000], [-0.094374, 0.758350, -0.189440, 0.014927, -0.331829, -0.519403, 0.000000, 0.000000, 0.000000, 0.000000], [-0.062036, -0.029762, 0.907334, -0.078497, -0.390387, -0.115962, 0.000000, 0.000000, 0.000000, 0.000000], [0.397356, -0.153357, 0.128110, 0.716790, 0.244237, -0.478266, 0.000000, 0.000000, 0.000000, 0.000000], [0.195904, 0.628260, 0.279732, 0.223188, 0.361312, 0.555249, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.202519, 21.222274, 23.786015, 26.305890, 149.396742], [70.622232, 72.937100, 83.934996, 93.026672, 405.412514], [16.477892, 18.629110, 19.804445, 22.634990, 29.927250], [5.599456, 5.671049, 6.609209, 6.626600, 7.603923], [33.076175, 33.649733, 38.263028, 42.623812, 157.140863], [20.018247, 22.766656, 23.559646, 25.317281, 183.936099]]
### 6
mean: [-1.834903, -2.321133, -0.302182, 4.896841, 2.707111, -1.550798]
std: [2.196313, 2.474740, 0.481176, 4.545698, 2.622242, 1.537182]
pca: [[-0.336793, 0.636482, -0.443769, 0.177540, -0.186265, 0.467242, 0.000000, 0.000000, 0.000000, 0.000000], [-0.387803, 0.237816, 0.142316, 0.510591, 0.567316, -0.436175, 0.000000, 0.000000, 0.000000, 0.000000], [-0.040470, 0.538421, 0.479116, -0.220279, -0.500970, -0.423579, 0.000000, 0.000000, 0.000000, 0.000000], [0.713652, 0.236328, 0.267093, 0.553732, 0.006712, 0.238427, 0.000000, 0.000000, 0.000000, 0.000000], [0.408813, 0.432956, -0.273049, -0.523323, 0.524970, -0.146304, 0.000000, 0.000000, 0.000000, 0.000000], [-0.241069, 0.071658, 0.638254, -0.280657, 0.341832, 0.577724, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.183957, 36.177340, 38.133032, 43.047989, 165.141296], [39.739011, 40.094190, 45.085531, 51.013461, 208.901950], [7.109229, 7.480307, 7.619464, 9.657443, 27.196384], [72.556871, 74.124785, 86.238891, 95.374813, 440.715665], [41.482835, 44.128346, 50.087253, 55.890155, 243.640026], [24.383250, 25.501492, 28.127772, 31.782515, 139.571848]]
### 8
mean: [-2.299921]
std: [2.319600]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.742099, 38.006338, 40.836440, 45.877296, 206.992933]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.292251467704773, "std": 1.415663480758667, "pca": [0.23802198469638824, 0.4598773121833801, -0.3060615658760071, 0.5267928838729858, -0.21292942762374878, 0.5615469813346863, 0.0, 0.0, 0.0, 0.0], "fourier": [19.916471167915223, 20.671875917269602, 26.03739192711479, 28.372442174795506, 116.30263642966747]}, "1": {"mean": 2.153923749923706, "std": 2.1591062545776367, "pca": [0.46205106377601624, 0.4612760841846466, -0.21363618969917297, -0.10113008320331573, 0.6239175200462341, -0.3585978150367737, 0.0, 0.0, 0.0, 0.0], "fourier": [32.068196819463964, 33.7225969697632, 42.29530161681907, 43.70104689456327, 193.8531347811222]}, "2": {"mean": 0.40515637397766113, "std": 1.5140477418899536, "pca": [-0.28993919491767883, 0.11374285817146301, 0.6430173516273499, 0.4729706346988678, 0.4999294579029083, 0.1260787844657898, 0.0, 0.0, 0.0, 0.0], "fourier": [22.299819251380644, 24.235328977280947, 31.78303051074184, 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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": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.326139, 0.102809, -0.090311, 0.52166, -0.435753], [0.746529, 0.422589, -0.258795, 0.479851, -0.349978], [-0.275887, -0.614832, 0.358955, 0.139533, 0.332893], [0.477201, 0.644104, 0.315267, 0.190939, -0.384761], [0.563308, 0.810628, 0.086969, 0.041217, -0.074709], [-0.500803, -0.551185, -0.196284, 0.500758, 0.596082]], "network.0.bias": [0.306457, 0.39808, 0.409237, -0.027047, -0.034198, -0.072252], "network.2.weight": [[-0.062539, -0.010649, 0.024391, -0.367057, -0.067104, 0.509336], [0.823532, 0.6425, -0.352635, 0.166388, 0.666788, 0.241984], [-0.513113, -0.480627, 0.247609, -0.538107, -0.334072, 0.600647], [0.105007, -0.326625, 0.40491, -0.112485, -0.635212, 0.427162], [-0.135006, -0.207624, -0.003137, -0.425819, -0.339855, -0.458951], [0.517593, 0.3122, -0.038298, 0.478745, -0.17816, 0.209216]], "network.2.bias": [0.500225, 0.169056, 0.353036, 0.296429, -0.279531, -0.081212], "network.4.weight": [[0.168273, 0.285658, -0.324399, 0.075075, 0.181439, 0.02739], [-0.204759, 0.750224, -0.535956, -0.275351, -0.704276, 0.605071], [0.547036, -0.138131, 0.386057, 0.569514, -0.488275, 0.321054], [-0.307497, 0.108696, -0.073228, 0.464896, 0.13499, -0.413789], [-0.423456, 0.341818, 0.043619, -0.411801, -0.127126, 0.232237], [0.255709, 0.202505, 0.285903, 0.399839, -0.215775, 0.27933]], "network.4.bias": [0.36652, 0.186927, -0.111664, 0.344757, -0.023249, 0.347236], "network.6.weight": [[-0.418969, -0.275106, 0.599261, -0.448038, -0.207042, 0.20762], [-0.421498, -0.497528, 0.384844, -0.894412, 0.047481, 0.180256], [-0.581572, -0.189792, 0.014896, -0.506182, 0.380245, 0.513279], [0.50485, 0.622686, -0.56038, 0.207455, 0.472693, 0.078666], [0.42489, 0.414045, -0.067093, 0.583037, 0.187039, -0.017239], [-0.498222, -0.403245, 0.143628, -0.661988, 0.342765, 0.159607]], "network.6.bias": [-0.132599, 0.088666, -0.202323, 0.413812, -0.173429, 0.121501], "network.8.weight": [[0.430343, 0.258604, 0.400858, -0.362536, -0.157829, 0.427533]], "network.8.bias": [-0.148189]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6950840353965759, "train_acc": 0.58, "val_loss": 0.6425326466560364, "val_acc": 0.66}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6687959134578705, "train_acc": 0.61, "val_loss": 0.6526660919189453, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6401391923427582, "train_acc": 0.555, "val_loss": 0.5607239007949829, "val_acc": 0.72}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.4933287501335144, "train_acc": 0.705, "val_loss": 0.500390350818634, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5162818431854248, "train_acc": 0.78, "val_loss": 0.26945996284484863, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.3471018821001053, "train_acc": 0.885, "val_loss": 0.2831459939479828, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.2799563407897949, "train_acc": 0.915, "val_loss": 0.267844021320343, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.20576858520507812, "train_acc": 0.945, "val_loss": 0.2298792600631714, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.12924520298838615, "train_acc": 0.955, "val_loss": 0.22406984865665436, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.12871300801634789, "train_acc": 0.955, "val_loss": 0.2646814286708832, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.11686955206096172, "train_acc": 0.96, "val_loss": 0.32003241777420044, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.1591872051358223, "train_acc": 0.95, "val_loss": 0.2524105906486511, "val_acc": 0.92}], "summary": {"total_epochs": 12, "degraded_epochs": 3, "improved_epochs": 9, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6425326466560364, "final_val_loss": 0.5607239007949829, "initial_val_acc": 0.66, "final_val_acc": 0.72, "best_val_acc": 0.72}, "improved_stage": {"initial_val_loss": 0.500390350818634, "final_val_loss": 0.2524105906486511, "initial_val_acc": 0.72, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 4}, "improvement": 0.20000000000000007, "first_improvement_epoch": 2}}
|
9,772
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.52, "improved_accuracy": 0.94, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4814, "learning_rate": 0.06067695768661929, "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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
-0.162775,
0.412203,
0.038478,
-0.348932,
-0.036326
],
[
-0.134566,
0.680834,
-0.046704,
-0.510942,
0.164743
],
[
0.500157,
0.297753,
-0.147708,
-0.512909,
0.629227
],
[
0.26042,
0.483278,
-0.479802,
-0.457908,
0.518592
]
],
"network.8.bias": [
-0.012732,
-0.196532,
-0.317847,
-0.058477,
-0.481574
],
"network.10.weight": [
[
-0.158586,
-0.835807,
-0.983505,
0.042789,
-0.524719
],
[
-0.107358,
-0.181895,
-0.246605,
0.189937,
-0.533208
],
[
0.475481,
-0.060111,
-0.086079,
0.651144,
0.746552
],
[
0.454352,
0.340911,
-0.332298,
0.680886,
0.416868
],
[
-0.119074,
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-0.33743,
0.029266,
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]
],
"network.10.bias": [
0.839454,
0.28936,
-0.385594,
-0.564616,
0.79957
],
"network.12.weight": [
[
0.823208,
0.024698,
-0.771894,
-0.86301,
0.80527
]
],
"network.12.bias": [
0.243109
]
}
## Activation Signature
### 0
mean: [0.213624, -0.613161, 2.279366, 1.304109, 1.060219]
std: [1.138930, 1.266213, 2.018041, 2.004837, 1.555833]
pca: [[-0.287923, -0.405056, -0.018839, 0.434864, 0.750712, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.029589, 0.677140, 0.154494, 0.717977, -0.035318, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.601876, -0.250301, 0.751819, 0.053597, 0.083606, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.627180, 0.317762, -0.439482, -0.205391, 0.519945, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.400768, -0.462372, -0.466263, 0.500344, -0.397306, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.311573, 19.726513, 20.535290, 22.101374, 24.541100], [19.837521, 20.490521, 20.711742, 21.043481, 55.184480], [30.392081, 33.079455, 40.300522, 42.020895, 205.142964], [32.863066, 33.283668, 33.376859, 37.388455, 117.369848], [25.639872, 26.231993, 27.871396, 27.992733, 95.419681]]
### 2
mean: [-0.772150, -1.213850, 2.068417, 2.063935, 1.394133]
std: [1.750908, 1.339746, 2.659483, 2.516087, 1.833274]
pca: [[-0.373866, -0.152521, 0.763932, -0.134967, 0.484925, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.172725, 0.966145, -0.009778, -0.112600, 0.154775, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.588247, 0.168982, 0.599615, -0.172453, -0.485934, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.563056, -0.058675, -0.207404, -0.532372, 0.594212, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.409051, 0.106317, 0.117290, 0.809904, 0.389451, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.558171, 28.146381, 28.651159, 28.729711, 69.493523], [20.233392, 21.624357, 22.045649, 23.383533, 109.246490], [39.401046, 42.087403, 49.884821, 50.247231, 186.157482], [38.109092, 42.133761, 44.866326, 46.977973, 185.754175], [28.327355, 29.459446, 33.413351, 33.448801, 125.471989]]
### 4
mean: [0.241438, 3.615049, 3.109987, 0.868429, 2.999137]
std: [0.351212, 5.054028, 4.353179, 0.755710, 4.112995]
pca: [[0.036915, 0.509086, -0.415476, 0.700588, -0.275726, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.642115, -0.142622, -0.239444, -0.322892, -0.636989, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.552960, 0.126838, -0.398204, -0.075319, 0.716874, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.089362, 0.828086, 0.387289, -0.393145, -0.041622, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.522088, -0.136661, 0.679329, 0.494652, 0.050787, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.361865, 5.369113, 6.062946, 7.062909, 21.729415], [76.160948, 78.470309, 88.997306, 91.151262, 325.354475], [66.210993, 67.861496, 76.215626, 79.127280, 279.898785], [11.519106, 12.470303, 12.785715, 13.531121, 78.158648], [62.853705, 64.748959, 72.907291, 73.817391, 269.922317]]
### 6
mean: [4.938498, 4.095292, -1.281604, -0.140161, 7.076803]
std: [6.672043, 5.624272, 1.694753, 1.066659, 9.552585]
pca: [[0.509644, -0.402008, -0.267664, 0.469879, -0.534997, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.429571, -0.404525, 0.734873, -0.013004, 0.334098, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.129164, 0.524233, 0.416947, 0.725879, -0.088038, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.081330, -0.240373, -0.408888, 0.482738, 0.731697, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.729681, 0.584935, -0.217447, -0.138234, 0.242951, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[103.249908, 104.965381, 113.661722, 118.381068, 444.464796], [86.304257, 88.608919, 96.926335, 98.929527, 368.576266], [26.410002, 27.314351, 29.532113, 30.126922, 115.344381], [16.228947, 16.239087, 16.805215, 18.557494, 18.591295], [147.885148, 148.291536, 162.263229, 169.577079, 636.912255]]
### 8
mean: [7.129329, 0.359906, 2.891342, 8.036482, 6.427338]
std: [9.948621, 0.956967, 4.589286, 11.080519, 9.456905]
pca: [[0.545057, 0.050514, 0.769500, -0.033369, -0.327288, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.052276, 0.659603, -0.037185, 0.748450, 0.025128, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.251402, 0.664031, -0.114285, -0.619037, 0.315582, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.607068, -0.346638, -0.113943, 0.235079, 0.665631, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.518117, -0.035746, -0.616800, -0.015479, -0.591265, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[153.882972, 154.681746, 167.848985, 174.439920, 641.639673], [14.803949, 14.965165, 15.974103, 16.756226, 32.391520], [70.404337, 71.292821, 78.233323, 79.736165, 260.220809], [171.655506, 172.642617, 186.888604, 194.910623, 723.283417], [146.186439, 147.341436, 160.003844, 166.134833, 578.460505]]
### 10
mean: [-6.869865, -3.346357, 13.062946, 10.188372, -5.787183]
std: [11.018703, 5.155296, 18.327730, 14.634351, 9.186090]
pca: [[-0.393892, 0.706194, 0.512610, -0.288134, 0.018669, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.184289, 0.331598, -0.403343, 0.394587, 0.733278, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.655227, 0.329026, 0.370337, 0.564109, -0.083966, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.523180, 0.431656, -0.495153, -0.541075, -0.044915, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.328402, 0.311043, -0.438428, 0.387683, -0.672969, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[172.909172, 173.919569, 183.165198, 191.799689, 618.287763], [80.940809, 81.479661, 85.497052, 89.838977, 301.172127], [286.841702, 286.990055, 304.884009, 321.211056, 1175.665118], [228.933781, 229.230277, 243.593013, 256.817571, 916.953436], [143.983187, 144.670744, 152.529733, 160.392695, 520.846494]]
### 12
mean: [-18.283501]
std: [27.037437]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[421.465804, 422.914984, 448.658364, 474.201763, 1645.515016]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.610356,
0.11995,
0.032715,
-0.104401,
0.09425
],
[
0.473889,
-0.17234,
-0.598525,
0.064998,
0.012324
],
[
0.384888,
0.509016,
0.178543,
0.484803,
0.046335
],
[
0.820243,
0.374508,
0.0293,
-0.124296,
-0.093148
],
[
-0.0332,
0.829091,
0.199556,
-0.236171,
-0.028902
]
],
"network.0.bias": [
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0.206822,
-0.596881,
-0.078849,
-0.284006
],
"network.2.weight": [
[
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-0.479503,
0.122593,
-0.368125,
-0.949539
],
[
-0.613601,
0.59522,
-0.523011,
0.34982,
-0.4662
],
[
-0.044721,
0.407521,
0.639174,
0.547913,
0.424908
],
[
0.049835,
0.090506,
0.333032,
0.478722,
0.881001
],
[
-0.45464,
0.602341,
0.306187,
0.223297,
0.63427
]
],
"network.2.bias": [
0.489396,
0.273612,
-0.610739,
-0.350714,
-0.160987
],
"network.4.weight": [
[
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0.08083,
0.008759,
0.076798
],
[
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0.435391,
0.739082,
0.663843,
0.807857
],
[
0.095339,
0.115087,
0.622682,
0.547925,
0.770565
],
[
0.062827,
-0.689643,
-0.239319,
0.333562,
0.294744
],
[
-0.788173,
0.282369,
0.639041,
0.714806,
0.301673
]
],
"network.4.bias": [
-0.118325,
-0.403091,
-0.410156,
0.269097,
-0.085264
],
"network.6.weight": [
[
-0.039459,
0.302738,
0.682266,
0.405709,
0.483983
],
[
0.148588,
0.130241,
0.273473,
0.260887,
0.88537
],
[
-0.842408,
-0.133277,
0.140094,
-0.209825,
-0.314729
],
[
-0.166608,
0.052789,
-0.011921,
0.257094,
-0.352592
],
[
0.08605,
0.817492,
0.645456,
-0.238766,
0.712899
]
],
"network.6.bias": [
-0.143842,
-0.204613,
0.050056,
0.620978,
-0.03712
],
"network.8.weight": [
[
0.232262,
0.483389,
0.347123,
-0.701545,
0.583434
],
[
-0.162775,
0.412203,
0.038478,
-0.348932,
-0.036326
],
[
-0.134566,
0.680834,
-0.046704,
-0.510942,
0.164743
],
[
0.500157,
0.297753,
-0.147708,
-0.512909,
0.629227
],
[
0.26042,
0.483278,
-0.479802,
-0.457908,
0.518592
]
],
"network.8.bias": [
-0.012732,
-0.196532,
-0.317847,
-0.058477,
-0.481574
],
"network.10.weight": [
[
-0.158586,
-0.835807,
-0.983505,
0.042789,
-0.524719
],
[
-0.107358,
-0.181895,
-0.246605,
0.189937,
-0.533208
],
[
0.475481,
-0.060111,
-0.086079,
0.651144,
0.746552
],
[
0.454352,
0.340911,
-0.332298,
0.680886,
0.416868
],
[
-0.119074,
-0.067648,
-0.33743,
0.029266,
-0.73195
]
],
"network.10.bias": [
0.839454,
0.28936,
-0.385594,
-0.564616,
0.79957
],
"network.12.weight": [
[
0.823208,
0.024698,
-0.771894,
-0.86301,
0.80527
]
],
"network.12.bias": [
0.243109
]
}
## Activation Signature
### 0
mean: [0.213624, -0.613161, 2.279366, 1.304109, 1.060219]
std: [1.138930, 1.266213, 2.018041, 2.004837, 1.555833]
pca: [[-0.287923, -0.405056, -0.018839, 0.434864, 0.750712, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.029589, 0.677140, 0.154494, 0.717977, -0.035318, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.601876, -0.250301, 0.751819, 0.053597, 0.083606, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.627180, 0.317762, -0.439482, -0.205391, 0.519945, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.400768, -0.462372, -0.466263, 0.500344, -0.397306, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.311573, 19.726513, 20.535290, 22.101374, 24.541100], [19.837521, 20.490521, 20.711742, 21.043481, 55.184480], [30.392081, 33.079455, 40.300522, 42.020895, 205.142964], [32.863066, 33.283668, 33.376859, 37.388455, 117.369848], [25.639872, 26.231993, 27.871396, 27.992733, 95.419681]]
### 2
mean: [-0.772150, -1.213850, 2.068417, 2.063935, 1.394133]
std: [1.750908, 1.339746, 2.659483, 2.516087, 1.833274]
pca: [[-0.373866, -0.152521, 0.763932, -0.134967, 0.484925, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.172725, 0.966145, -0.009778, -0.112600, 0.154775, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.588247, 0.168982, 0.599615, -0.172453, -0.485934, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.563056, -0.058675, -0.207404, -0.532372, 0.594212, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.409051, 0.106317, 0.117290, 0.809904, 0.389451, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.558171, 28.146381, 28.651159, 28.729711, 69.493523], [20.233392, 21.624357, 22.045649, 23.383533, 109.246490], [39.401046, 42.087403, 49.884821, 50.247231, 186.157482], [38.109092, 42.133761, 44.866326, 46.977973, 185.754175], [28.327355, 29.459446, 33.413351, 33.448801, 125.471989]]
### 4
mean: [0.241438, 3.615049, 3.109987, 0.868429, 2.999137]
std: [0.351212, 5.054028, 4.353179, 0.755710, 4.112995]
pca: [[0.036915, 0.509086, -0.415476, 0.700588, -0.275726, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.642115, -0.142622, -0.239444, -0.322892, -0.636989, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.552960, 0.126838, -0.398204, -0.075319, 0.716874, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.089362, 0.828086, 0.387289, -0.393145, -0.041622, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.522088, -0.136661, 0.679329, 0.494652, 0.050787, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.361865, 5.369113, 6.062946, 7.062909, 21.729415], [76.160948, 78.470309, 88.997306, 91.151262, 325.354475], [66.210993, 67.861496, 76.215626, 79.127280, 279.898785], [11.519106, 12.470303, 12.785715, 13.531121, 78.158648], [62.853705, 64.748959, 72.907291, 73.817391, 269.922317]]
### 6
mean: [4.938498, 4.095292, -1.281604, -0.140161, 7.076803]
std: [6.672043, 5.624272, 1.694753, 1.066659, 9.552585]
pca: [[0.509644, -0.402008, -0.267664, 0.469879, -0.534997, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.429571, -0.404525, 0.734873, -0.013004, 0.334098, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.129164, 0.524233, 0.416947, 0.725879, -0.088038, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.081330, -0.240373, -0.408888, 0.482738, 0.731697, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.729681, 0.584935, -0.217447, -0.138234, 0.242951, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[103.249908, 104.965381, 113.661722, 118.381068, 444.464796], [86.304257, 88.608919, 96.926335, 98.929527, 368.576266], [26.410002, 27.314351, 29.532113, 30.126922, 115.344381], [16.228947, 16.239087, 16.805215, 18.557494, 18.591295], [147.885148, 148.291536, 162.263229, 169.577079, 636.912255]]
### 8
mean: [7.129329, 0.359906, 2.891342, 8.036482, 6.427338]
std: [9.948621, 0.956967, 4.589286, 11.080519, 9.456905]
pca: [[0.545057, 0.050514, 0.769500, -0.033369, -0.327288, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.052276, 0.659603, -0.037185, 0.748450, 0.025128, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.251402, 0.664031, -0.114285, -0.619037, 0.315582, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.607068, -0.346638, -0.113943, 0.235079, 0.665631, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.518117, -0.035746, -0.616800, -0.015479, -0.591265, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[153.882972, 154.681746, 167.848985, 174.439920, 641.639673], [14.803949, 14.965165, 15.974103, 16.756226, 32.391520], [70.404337, 71.292821, 78.233323, 79.736165, 260.220809], [171.655506, 172.642617, 186.888604, 194.910623, 723.283417], [146.186439, 147.341436, 160.003844, 166.134833, 578.460505]]
### 10
mean: [-6.869865, -3.346357, 13.062946, 10.188372, -5.787183]
std: [11.018703, 5.155296, 18.327730, 14.634351, 9.186090]
pca: [[-0.393892, 0.706194, 0.512610, -0.288134, 0.018669, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.184289, 0.331598, -0.403343, 0.394587, 0.733278, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.655227, 0.329026, 0.370337, 0.564109, -0.083966, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.523180, 0.431656, -0.495153, -0.541075, -0.044915, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.328402, 0.311043, -0.438428, 0.387683, -0.672969, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[172.909172, 173.919569, 183.165198, 191.799689, 618.287763], [80.940809, 81.479661, 85.497052, 89.838977, 301.172127], [286.841702, 286.990055, 304.884009, 321.211056, 1175.665118], [228.933781, 229.230277, 243.593013, 256.817571, 916.953436], [143.983187, 144.670744, 152.529733, 160.392695, 520.846494]]
### 12
mean: [-18.283501]
std: [27.037437]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[421.465804, 422.914984, 448.658364, 474.201763, 1645.515016]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.610356, 0.11995, 0.032715, -0.104401, 0.09425], [0.473889, -0.17234, -0.598525, 0.064998, 0.012324], [0.384888, 0.509016, 0.178543, 0.484803, 0.046335], [0.820243, 0.374508, 0.0293, -0.124296, -0.093148], [-0.0332, 0.829091, 0.199556, -0.236171, -0.028902]], "network.0.bias": [0.793904, 0.206822, -0.596881, -0.078849, -0.284006], "network.2.weight": [[0.136408, -0.479503, 0.122593, -0.368125, -0.949539], [-0.613601, 0.59522, -0.523011, 0.34982, -0.4662], [-0.044721, 0.407521, 0.639174, 0.547913, 0.424908], [0.049835, 0.090506, 0.333032, 0.478722, 0.881001], [-0.45464, 0.602341, 0.306187, 0.223297, 0.63427]], "network.2.bias": [0.489396, 0.273612, -0.610739, -0.350714, -0.160987], "network.4.weight": [[0.366934, -0.513414, 0.08083, 0.008759, 0.076798], [-0.107911, 0.435391, 0.739082, 0.663843, 0.807857], [0.095339, 0.115087, 0.622682, 0.547925, 0.770565], [0.062827, -0.689643, -0.239319, 0.333562, 0.294744], [-0.788173, 0.282369, 0.639041, 0.714806, 0.301673]], "network.4.bias": [-0.118325, -0.403091, -0.410156, 0.269097, -0.085264], "network.6.weight": [[-0.039459, 0.302738, 0.682266, 0.405709, 0.483983], [0.148588, 0.130241, 0.273473, 0.260887, 0.88537], [-0.842408, -0.133277, 0.140094, -0.209825, -0.314729], [-0.166608, 0.052789, -0.011921, 0.257094, -0.352592], [0.08605, 0.817492, 0.645456, -0.238766, 0.712899]], "network.6.bias": [-0.143842, -0.204613, 0.050056, 0.620978, -0.03712], "network.8.weight": [[0.232262, 0.483389, 0.347123, -0.701545, 0.583434], [-0.162775, 0.412203, 0.038478, -0.348932, -0.036326], [-0.134566, 0.680834, -0.046704, -0.510942, 0.164743], [0.500157, 0.297753, -0.147708, -0.512909, 0.629227], [0.26042, 0.483278, -0.479802, -0.457908, 0.518592]], "network.8.bias": [-0.012732, -0.196532, -0.317847, -0.058477, -0.481574], "network.10.weight": [[-0.158586, -0.835807, -0.983505, 0.042789, -0.524719], [-0.107358, -0.181895, -0.246605, 0.189937, -0.533208], [0.475481, -0.060111, -0.086079, 0.651144, 0.746552], [0.454352, 0.340911, -0.332298, 0.680886, 0.416868], [-0.119074, -0.067648, -0.33743, 0.029266, -0.73195]], "network.10.bias": [0.839454, 0.28936, -0.385594, -0.564616, 0.79957], "network.12.weight": [[0.823208, 0.024698, -0.771894, -0.86301, 0.80527]], "network.12.bias": [0.243109]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6880447566509247, "train_acc": 0.57, "val_loss": 0.6927912831306458, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6694688498973846, "train_acc": 0.57, "val_loss": 0.6382521986961365, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6077221035957336, "train_acc": 0.495, "val_loss": 0.4649393558502197, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4477795511484146, "train_acc": 0.845, "val_loss": 0.3372970521450043, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3855677396059036, "train_acc": 0.82, "val_loss": 0.3305111825466156, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.33820641040802, "train_acc": 0.855, "val_loss": 0.2434888780117035, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.29486119747161865, "train_acc": 0.91, "val_loss": 0.18473373353481293, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.20598706230521202, "train_acc": 0.915, "val_loss": 0.47869038581848145, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.46603336930274963, "train_acc": 0.82, "val_loss": 0.4390607178211212, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.44383130967617035, "train_acc": 0.835, "val_loss": 0.524341881275177, "val_acc": 0.8}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6927912831306458, "final_val_loss": 0.6382521986961365, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.4649393558502197, "final_val_loss": 0.524341881275177, "initial_val_acc": 0.88, "final_val_acc": 0.8, "best_val_acc": 0.94, "best_epoch": 6}, "improvement": 0.41999999999999993, "first_improvement_epoch": 1}}
|
9,773
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.68, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3432, "learning_rate": 0.06633005959086753, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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0.314315,
0.264685
],
[
-0.474026,
-0.263636,
0.453325,
-0.303021,
0.443663
],
[
0.593896,
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0.342684,
0.121921,
-0.365371
],
[
-0.349369,
-0.008306,
-0.257191,
0.080253,
0.630314
]
],
"network.0.bias": [
-0.046223,
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0.20495,
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0.546027
],
"network.2.weight": [
[
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0.045578,
0.125676
],
[
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0.314877,
0.596406,
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0.305037
],
[
-0.41002,
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-0.027073,
0.750338,
-0.709822
],
[
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-0.141018,
-0.312082,
0.184063,
0.126906
],
[
0.313074,
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-0.331549,
-0.187445,
0.230454,
0.677063
],
[
0.438494,
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-0.502368,
-0.057707
]
],
"network.2.bias": [
0.075239,
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0.707429,
-0.467326,
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-0.03408
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"network.4.weight": [
[
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],
[
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0.204062,
0.426632
],
[
0.195311,
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0.398769
],
[
0.249847,
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0.61279,
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],
[
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[
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]
],
"network.4.bias": [
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],
"network.6.weight": [
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[
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[
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[
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[
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[
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],
"network.6.bias": [
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],
"network.8.weight": [
[
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[
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[
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[
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[
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],
[
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]
],
"network.8.bias": [
0.137809,
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0.089627,
0.507359
],
"network.10.weight": [
[
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],
[
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0.332797
],
[
0.1906,
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0.088109,
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],
[
0.530575,
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],
[
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],
[
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]
],
"network.10.bias": [
0.039365,
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],
"network.12.weight": [
[
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0.275621,
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]
],
"network.12.bias": [
-0.326621
]
}
## Activation Signature
### 0
mean: [0.072001, -1.386653, 3.376808, -0.161736, 2.096639, 0.508363]
std: [2.234844, 1.339470, 2.443695, 1.611520, 1.766921, 1.373085]
pca: [[0.568490, 0.344444, -0.042569, 0.739631, -0.022416, -0.093854, 0.000000, 0.000000, 0.000000, 0.000000], [-0.131049, -0.486795, 0.139001, 0.418427, -0.224717, 0.707783, 0.000000, 0.000000, 0.000000, 0.000000], [-0.489085, 0.704668, -0.088788, 0.059072, -0.444272, 0.235558, 0.000000, 0.000000, 0.000000, 0.000000], [0.300246, 0.291864, 0.808272, -0.280529, 0.088066, 0.291396, 0.000000, 0.000000, 0.000000, 0.000000], [-0.485718, 0.137583, 0.159878, 0.343993, 0.775241, 0.016068, 0.000000, 0.000000, 0.000000, 0.000000], [0.307198, 0.209088, -0.540479, -0.278115, 0.377979, 0.591251, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.566530, 31.813330, 35.102421, 36.204325, 39.323810], [20.128434, 22.207432, 23.511428, 30.410753, 124.798809], [38.085802, 41.262033, 46.784043, 51.246541, 303.912693], [21.159569, 21.207795, 24.170446, 26.360676, 39.117353], [29.005464, 30.713597, 32.688028, 33.529122, 188.697543], [20.265404, 21.514818, 24.117517, 25.028534, 45.752700]]
### 2
mean: [2.524097, 0.874832, 3.947914, -0.870088, -0.084184, -0.367586]
std: [1.633201, 1.783185, 3.486988, 0.665736, 1.025855, 1.389921]
pca: [[0.126200, 0.665447, 0.231183, -0.048298, 0.359111, 0.597089, 0.000000, 0.000000, 0.000000, 0.000000], [-0.279237, 0.599992, 0.020316, 0.566624, -0.272517, -0.407794, 0.000000, 0.000000, 0.000000, 0.000000], [0.871294, 0.224524, -0.006635, -0.128615, -0.046296, -0.414375, 0.000000, 0.000000, 0.000000, 0.000000], [0.071325, -0.252143, 0.191678, 0.499327, 0.769455, -0.230668, 0.000000, 0.000000, 0.000000, 0.000000], [-0.229622, 0.037945, 0.803810, -0.426121, 0.006988, -0.343650, 0.000000, 0.000000, 0.000000, 0.000000], [-0.298552, 0.285943, -0.513075, -0.478703, 0.450023, -0.366305, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.114769, 29.849024, 34.103164, 35.072425, 227.168793], [27.611486, 28.428308, 28.759802, 30.036701, 78.734863], [52.827773, 57.038749, 64.718311, 76.683549, 355.312281], [10.500082, 10.752956, 12.082930, 13.482120, 78.307877], [14.335781, 15.597225, 15.993317, 17.631410, 28.026879], [18.537796, 22.746165, 23.700534, 26.624518, 33.082743]]
### 4
mean: [0.057916, 0.094143, -0.128001, 3.590143, -2.685115, 2.012890]
std: [0.427975, 2.407708, 3.213081, 2.756046, 1.383620, 2.299927]
pca: [[0.053830, -0.051699, 0.986627, -0.020496, -0.124808, 0.070702, 0.000000, 0.000000, 0.000000, 0.000000], [0.434043, -0.421713, -0.127590, 0.390799, -0.679471, 0.055499, 0.000000, 0.000000, 0.000000, 0.000000], [0.609466, -0.307231, 0.042558, 0.215725, 0.696927, 0.010245, 0.000000, 0.000000, 0.000000, 0.000000], [-0.499945, -0.463545, 0.069984, 0.375685, 0.121290, -0.611909, 0.000000, 0.000000, 0.000000, 0.000000], [0.035763, 0.660101, 0.055773, 0.745368, 0.026479, -0.060022, 0.000000, 0.000000, 0.000000, 0.000000], [-0.431319, -0.272923, -0.021622, 0.321879, 0.147046, 0.783442, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.035676, 6.187289, 6.266792, 7.952789, 8.365036], [31.308368, 32.017319, 33.414643, 40.757525, 52.188666], [37.980690, 43.210748, 45.915553, 54.142999, 74.676396], [39.969883, 44.429490, 50.406625, 64.497968, 323.112910], [25.085281, 26.993382, 28.564119, 30.543911, 241.660291], [34.357997, 35.808776, 40.715417, 55.122529, 181.160132]]
### 6
mean: [1.785881, 1.125493, 0.651143, 0.689854, 0.131019, 3.326279]
std: [1.279037, 2.507008, 1.940960, 2.325595, 3.173475, 4.399410]
pca: [[-0.001810, 0.831469, 0.073871, -0.017599, 0.264290, -0.482742, 0.000000, 0.000000, 0.000000, 0.000000], [0.376907, 0.040331, 0.893446, 0.116677, -0.186455, 0.098436, 0.000000, 0.000000, 0.000000, 0.000000], [0.292151, -0.002876, 0.012080, -0.084479, 0.836002, 0.456571, 0.000000, 0.000000, 0.000000, 0.000000], [0.343459, -0.288015, -0.139518, 0.740908, 0.195465, -0.438711, 0.000000, 0.000000, 0.000000, 0.000000], [-0.472090, 0.312528, 0.036109, 0.653603, -0.041090, 0.499267, 0.000000, 0.000000, 0.000000, 0.000000], [0.657079, 0.355524, -0.418786, 0.052902, -0.395715, 0.327229, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.629121, 25.745781, 26.749926, 27.970110, 160.729257], [37.334782, 38.939571, 41.899879, 63.857755, 101.294390], [27.797765, 30.555901, 32.582768, 49.673184, 58.602872], [31.013767, 38.257697, 39.653600, 57.303410, 62.086896], [40.391246, 42.014235, 50.336817, 54.173167, 79.346062], [66.907116, 68.328554, 72.252989, 112.570719, 299.365119]]
### 8
mean: [-0.417619, -0.783438, 4.339538, 3.421241, -0.231731, 4.748085]
std: [1.666977, 0.481061, 3.706922, 2.978759, 0.279024, 4.015707]
pca: [[-0.228052, 0.891383, 0.327588, -0.045557, -0.179572, -0.108597, 0.000000, 0.000000, 0.000000, 0.000000], [-0.074296, -0.044187, 0.062006, 0.790642, 0.141945, -0.586020, 0.000000, 0.000000, 0.000000, 0.000000], [0.578366, -0.166157, 0.631684, 0.120450, -0.470503, 0.054583, 0.000000, 0.000000, 0.000000, 0.000000], [0.463999, 0.235520, 0.200932, 0.060715, 0.798014, 0.219884, 0.000000, 0.000000, 0.000000, 0.000000], [-0.036486, 0.159898, -0.252596, 0.593833, -0.205206, 0.717321, 0.000000, 0.000000, 0.000000, 0.000000], [0.625571, 0.307960, -0.620998, -0.044466, -0.217478, -0.280908, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.018142, 26.840761, 28.295022, 37.585717, 42.108954], [7.822619, 8.025718, 8.473458, 11.006597, 70.509405], [57.259767, 58.815433, 64.608730, 93.753768, 390.558389], [45.957675, 48.923379, 53.998980, 72.758520, 307.911686], [3.848880, 4.120692, 4.620656, 6.466027, 20.855815], [61.532855, 66.090277, 73.101151, 97.894046, 427.327681]]
### 10
mean: [0.407680, 4.961178, -5.081977, -2.979555, 2.141892, 4.077354]
std: [0.602007, 4.210178, 4.321865, 2.917847, 2.220013, 3.783537]
pca: [[-0.069312, 0.376208, -0.404287, -0.514602, 0.496359, 0.423118, 0.000000, 0.000000, 0.000000, 0.000000], [-0.525488, -0.190361, 0.014581, 0.162067, -0.367496, 0.725323, 0.000000, 0.000000, 0.000000, 0.000000], [0.537695, 0.595675, -0.129891, 0.362567, -0.352543, 0.288865, 0.000000, 0.000000, 0.000000, 0.000000], [0.363803, -0.249425, 0.494317, 0.265663, 0.564351, 0.414749, 0.000000, 0.000000, 0.000000, 0.000000], [-0.277157, 0.016281, -0.498522, 0.704986, 0.396022, -0.143374, 0.000000, 0.000000, 0.000000, 0.000000], [-0.469867, 0.636337, 0.571484, 0.099415, 0.137703, -0.137338, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.631983, 9.344849, 9.968762, 15.467512, 36.691173], [64.556728, 69.192180, 75.214845, 104.102258, 446.506006], [67.898835, 72.131818, 78.433372, 104.719667, 457.377921], [44.851195, 46.697876, 50.757493, 73.744080, 268.159930], [33.458969, 36.036823, 39.502034, 55.402076, 192.770254], [59.339904, 59.422098, 64.059531, 96.670934, 366.961881]]
### 12
mean: [-5.124285]
std: [3.945305]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[61.209343, 65.444133, 70.968464, 96.751572, 461.185627]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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-0.342079,
0.229184,
0.252993,
0.642549
],
[
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-0.112467,
-0.016113,
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],
[
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0.314315,
0.264685
],
[
-0.474026,
-0.263636,
0.453325,
-0.303021,
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],
[
0.593896,
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0.342684,
0.121921,
-0.365371
],
[
-0.349369,
-0.008306,
-0.257191,
0.080253,
0.630314
]
],
"network.0.bias": [
-0.046223,
-0.432458,
0.20495,
0.064249,
0.390065,
0.546027
],
"network.2.weight": [
[
0.409382,
-0.316395,
0.505955,
0.518013,
0.045578,
0.125676
],
[
0.554669,
0.411604,
0.314877,
0.596406,
-0.536538,
0.305037
],
[
-0.41002,
-0.727306,
0.722038,
-0.027073,
0.750338,
-0.709822
],
[
-0.337832,
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-0.141018,
-0.312082,
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0.126906
],
[
0.313074,
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-0.331549,
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0.230454,
0.677063
],
[
0.438494,
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0.579024,
-0.502368,
-0.057707
]
],
"network.2.bias": [
0.075239,
0.075513,
0.707429,
-0.467326,
-0.058636,
-0.03408
],
"network.4.weight": [
[
0.16697,
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-0.067548,
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0.613177,
-0.692824
],
[
0.588739,
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-0.476096,
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0.204062,
0.426632
],
[
0.195311,
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0.398769
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[
0.249847,
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0.61279,
-0.59784,
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],
[
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0.009988,
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0.3594,
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],
[
0.110121,
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0.506779,
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]
],
"network.4.bias": [
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0.4609,
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-0.557684,
0.017127
],
"network.6.weight": [
[
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0.204569,
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],
[
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[
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[
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],
"network.6.bias": [
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-0.110857,
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0.373823,
0.35194,
0.636204
],
"network.8.weight": [
[
0.176621,
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],
[
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0.153112,
-0.005787,
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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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0.089627,
0.507359
],
"network.10.weight": [
[
-0.270128,
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-0.152153,
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],
[
-0.413243,
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0.3578,
-0.113346,
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],
[
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-0.404532
],
[
0.530575,
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],
[
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],
[
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]
],
"network.10.bias": [
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0.007966,
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],
"network.12.weight": [
[
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0.275621,
-0.327823,
-0.40171
]
],
"network.12.bias": [
-0.326621
]
}
## Activation Signature
### 0
mean: [0.072001, -1.386653, 3.376808, -0.161736, 2.096639, 0.508363]
std: [2.234844, 1.339470, 2.443695, 1.611520, 1.766921, 1.373085]
pca: [[0.568490, 0.344444, -0.042569, 0.739631, -0.022416, -0.093854, 0.000000, 0.000000, 0.000000, 0.000000], [-0.131049, -0.486795, 0.139001, 0.418427, -0.224717, 0.707783, 0.000000, 0.000000, 0.000000, 0.000000], [-0.489085, 0.704668, -0.088788, 0.059072, -0.444272, 0.235558, 0.000000, 0.000000, 0.000000, 0.000000], [0.300246, 0.291864, 0.808272, -0.280529, 0.088066, 0.291396, 0.000000, 0.000000, 0.000000, 0.000000], [-0.485718, 0.137583, 0.159878, 0.343993, 0.775241, 0.016068, 0.000000, 0.000000, 0.000000, 0.000000], [0.307198, 0.209088, -0.540479, -0.278115, 0.377979, 0.591251, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.566530, 31.813330, 35.102421, 36.204325, 39.323810], [20.128434, 22.207432, 23.511428, 30.410753, 124.798809], [38.085802, 41.262033, 46.784043, 51.246541, 303.912693], [21.159569, 21.207795, 24.170446, 26.360676, 39.117353], [29.005464, 30.713597, 32.688028, 33.529122, 188.697543], [20.265404, 21.514818, 24.117517, 25.028534, 45.752700]]
### 2
mean: [2.524097, 0.874832, 3.947914, -0.870088, -0.084184, -0.367586]
std: [1.633201, 1.783185, 3.486988, 0.665736, 1.025855, 1.389921]
pca: [[0.126200, 0.665447, 0.231183, -0.048298, 0.359111, 0.597089, 0.000000, 0.000000, 0.000000, 0.000000], [-0.279237, 0.599992, 0.020316, 0.566624, -0.272517, -0.407794, 0.000000, 0.000000, 0.000000, 0.000000], [0.871294, 0.224524, -0.006635, -0.128615, -0.046296, -0.414375, 0.000000, 0.000000, 0.000000, 0.000000], [0.071325, -0.252143, 0.191678, 0.499327, 0.769455, -0.230668, 0.000000, 0.000000, 0.000000, 0.000000], [-0.229622, 0.037945, 0.803810, -0.426121, 0.006988, -0.343650, 0.000000, 0.000000, 0.000000, 0.000000], [-0.298552, 0.285943, -0.513075, -0.478703, 0.450023, -0.366305, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.114769, 29.849024, 34.103164, 35.072425, 227.168793], [27.611486, 28.428308, 28.759802, 30.036701, 78.734863], [52.827773, 57.038749, 64.718311, 76.683549, 355.312281], [10.500082, 10.752956, 12.082930, 13.482120, 78.307877], [14.335781, 15.597225, 15.993317, 17.631410, 28.026879], [18.537796, 22.746165, 23.700534, 26.624518, 33.082743]]
### 4
mean: [0.057916, 0.094143, -0.128001, 3.590143, -2.685115, 2.012890]
std: [0.427975, 2.407708, 3.213081, 2.756046, 1.383620, 2.299927]
pca: [[0.053830, -0.051699, 0.986627, -0.020496, -0.124808, 0.070702, 0.000000, 0.000000, 0.000000, 0.000000], [0.434043, -0.421713, -0.127590, 0.390799, -0.679471, 0.055499, 0.000000, 0.000000, 0.000000, 0.000000], [0.609466, -0.307231, 0.042558, 0.215725, 0.696927, 0.010245, 0.000000, 0.000000, 0.000000, 0.000000], [-0.499945, -0.463545, 0.069984, 0.375685, 0.121290, -0.611909, 0.000000, 0.000000, 0.000000, 0.000000], [0.035763, 0.660101, 0.055773, 0.745368, 0.026479, -0.060022, 0.000000, 0.000000, 0.000000, 0.000000], [-0.431319, -0.272923, -0.021622, 0.321879, 0.147046, 0.783442, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.035676, 6.187289, 6.266792, 7.952789, 8.365036], [31.308368, 32.017319, 33.414643, 40.757525, 52.188666], [37.980690, 43.210748, 45.915553, 54.142999, 74.676396], [39.969883, 44.429490, 50.406625, 64.497968, 323.112910], [25.085281, 26.993382, 28.564119, 30.543911, 241.660291], [34.357997, 35.808776, 40.715417, 55.122529, 181.160132]]
### 6
mean: [1.785881, 1.125493, 0.651143, 0.689854, 0.131019, 3.326279]
std: [1.279037, 2.507008, 1.940960, 2.325595, 3.173475, 4.399410]
pca: [[-0.001810, 0.831469, 0.073871, -0.017599, 0.264290, -0.482742, 0.000000, 0.000000, 0.000000, 0.000000], [0.376907, 0.040331, 0.893446, 0.116677, -0.186455, 0.098436, 0.000000, 0.000000, 0.000000, 0.000000], [0.292151, -0.002876, 0.012080, -0.084479, 0.836002, 0.456571, 0.000000, 0.000000, 0.000000, 0.000000], [0.343459, -0.288015, -0.139518, 0.740908, 0.195465, -0.438711, 0.000000, 0.000000, 0.000000, 0.000000], [-0.472090, 0.312528, 0.036109, 0.653603, -0.041090, 0.499267, 0.000000, 0.000000, 0.000000, 0.000000], [0.657079, 0.355524, -0.418786, 0.052902, -0.395715, 0.327229, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.629121, 25.745781, 26.749926, 27.970110, 160.729257], [37.334782, 38.939571, 41.899879, 63.857755, 101.294390], [27.797765, 30.555901, 32.582768, 49.673184, 58.602872], [31.013767, 38.257697, 39.653600, 57.303410, 62.086896], [40.391246, 42.014235, 50.336817, 54.173167, 79.346062], [66.907116, 68.328554, 72.252989, 112.570719, 299.365119]]
### 8
mean: [-0.417619, -0.783438, 4.339538, 3.421241, -0.231731, 4.748085]
std: [1.666977, 0.481061, 3.706922, 2.978759, 0.279024, 4.015707]
pca: [[-0.228052, 0.891383, 0.327588, -0.045557, -0.179572, -0.108597, 0.000000, 0.000000, 0.000000, 0.000000], [-0.074296, -0.044187, 0.062006, 0.790642, 0.141945, -0.586020, 0.000000, 0.000000, 0.000000, 0.000000], [0.578366, -0.166157, 0.631684, 0.120450, -0.470503, 0.054583, 0.000000, 0.000000, 0.000000, 0.000000], [0.463999, 0.235520, 0.200932, 0.060715, 0.798014, 0.219884, 0.000000, 0.000000, 0.000000, 0.000000], [-0.036486, 0.159898, -0.252596, 0.593833, -0.205206, 0.717321, 0.000000, 0.000000, 0.000000, 0.000000], [0.625571, 0.307960, -0.620998, -0.044466, -0.217478, -0.280908, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.018142, 26.840761, 28.295022, 37.585717, 42.108954], [7.822619, 8.025718, 8.473458, 11.006597, 70.509405], [57.259767, 58.815433, 64.608730, 93.753768, 390.558389], [45.957675, 48.923379, 53.998980, 72.758520, 307.911686], [3.848880, 4.120692, 4.620656, 6.466027, 20.855815], [61.532855, 66.090277, 73.101151, 97.894046, 427.327681]]
### 10
mean: [0.407680, 4.961178, -5.081977, -2.979555, 2.141892, 4.077354]
std: [0.602007, 4.210178, 4.321865, 2.917847, 2.220013, 3.783537]
pca: [[-0.069312, 0.376208, -0.404287, -0.514602, 0.496359, 0.423118, 0.000000, 0.000000, 0.000000, 0.000000], [-0.525488, -0.190361, 0.014581, 0.162067, -0.367496, 0.725323, 0.000000, 0.000000, 0.000000, 0.000000], [0.537695, 0.595675, -0.129891, 0.362567, -0.352543, 0.288865, 0.000000, 0.000000, 0.000000, 0.000000], [0.363803, -0.249425, 0.494317, 0.265663, 0.564351, 0.414749, 0.000000, 0.000000, 0.000000, 0.000000], [-0.277157, 0.016281, -0.498522, 0.704986, 0.396022, -0.143374, 0.000000, 0.000000, 0.000000, 0.000000], [-0.469867, 0.636337, 0.571484, 0.099415, 0.137703, -0.137338, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.631983, 9.344849, 9.968762, 15.467512, 36.691173], [64.556728, 69.192180, 75.214845, 104.102258, 446.506006], [67.898835, 72.131818, 78.433372, 104.719667, 457.377921], [44.851195, 46.697876, 50.757493, 73.744080, 268.159930], [33.458969, 36.036823, 39.502034, 55.402076, 192.770254], [59.339904, 59.422098, 64.059531, 96.670934, 366.961881]]
### 12
mean: [-5.124285]
std: [3.945305]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[61.209343, 65.444133, 70.968464, 96.751572, 461.185627]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 0.6830324828624725, "train_acc": 0.58, "val_loss": 0.7040475606918335, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6750620901584625, "train_acc": 0.58, "val_loss": 0.705842912197113, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6586881279945374, "train_acc": 0.58, "val_loss": 0.6512497067451477, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5648219287395477, "train_acc": 0.585, "val_loss": 0.7120336890220642, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6048849523067474, "train_acc": 0.775, "val_loss": 0.6404834985733032, "val_acc": 0.66}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5096179693937302, "train_acc": 0.75, "val_loss": 0.5647833347320557, "val_acc": 0.68}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.496157169342041, "train_acc": 0.76, "val_loss": 0.5710459351539612, "val_acc": 0.68}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5094527006149292, "train_acc": 0.76, "val_loss": 0.5973702669143677, "val_acc": 0.68}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.49346351623535156, "train_acc": 0.785, "val_loss": 0.6036749482154846, "val_acc": 0.68}], "summary": {"total_epochs": 9, "degraded_epochs": 3, "improved_epochs": 6, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.7040475606918335, "final_val_loss": 0.6512497067451477, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.7120336890220642, "final_val_loss": 0.6036749482154846, "initial_val_acc": 0.68, "final_val_acc": 0.68, "best_val_acc": 0.68, "best_epoch": 3}, "improvement": 0.20000000000000007, "first_improvement_epoch": 2}}
|
9,774
|
{"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": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3445, "learning_rate": 0.06284117670080556, "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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.6.weight": [
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"network.10.weight": [
[
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-2.759116, -0.033018, -2.548857, 1.582936, -1.761502, -2.993007, -1.903268, -1.661230]
std: [1.688503, 1.123097, 1.638672, 2.873423, 1.003879, 2.847613, 1.138368, 1.710088]
pca: [[0.417404, -0.008601, 0.321461, -0.523152, -0.130431, -0.576399, -0.273068, -0.157671, 0.000000, 0.000000], [0.065024, -0.177079, 0.370775, 0.789680, 0.043755, -0.323951, -0.152176, -0.270796, 0.000000, 0.000000], [0.430236, -0.100363, 0.045020, -0.068696, 0.314839, 0.611679, -0.326326, -0.467241, 0.000000, 0.000000], [-0.363385, 0.739445, 0.211111, -0.025104, 0.397730, -0.053984, -0.336927, -0.036764, 0.000000, 0.000000], [0.254111, -0.034962, 0.014250, -0.039726, 0.744280, -0.225393, 0.569540, 0.057382, 0.000000, 0.000000], [0.550395, 0.535482, -0.526348, 0.282655, -0.192913, -0.124459, 0.024061, -0.010217, 0.000000, 0.000000], [0.273556, -0.142485, 0.080416, 0.120914, 0.197265, 0.075389, -0.433631, 0.806936, 0.000000, 0.000000], [0.249105, 0.321641, 0.654891, 0.035715, -0.306070, 0.337311, 0.411433, 0.166135, 0.000000, 0.000000]]
fourier: [[26.387215, 27.380243, 31.934835, 34.189891, 248.320450], [15.827380, 16.965766, 17.402159, 19.723753, 20.167613], [27.428968, 27.974541, 28.202719, 32.338821, 229.397136], [47.284759, 49.218062, 62.499129, 63.092124, 142.464284], [15.574422, 15.640830, 17.721880, 19.194293, 158.535199], [35.715775, 40.129809, 41.015393, 51.246369, 269.370610], [16.868532, 21.341197, 21.677465, 22.863637, 171.294066], [27.960193, 29.572236, 33.204952, 35.083120, 149.510660]]
### 2
mean: [1.432259, 0.703866, 0.899543, -0.651006, 1.102052, -1.040895, 1.220765, 1.338083]
std: [2.581849, 0.583966, 0.605374, 0.337208, 2.443222, 0.699553, 2.546176, 2.917350]
pca: [[0.484050, 0.059323, -0.197609, -0.185126, -0.541707, 0.135340, -0.261152, 0.555780, 0.000000, 0.000000], [-0.098611, 0.342542, 0.491191, 0.055463, -0.344862, -0.229565, 0.625578, 0.256162, 0.000000, 0.000000], [-0.041395, 0.853510, 0.069346, -0.066893, 0.238304, 0.381095, -0.240450, -0.026190, 0.000000, 0.000000], [-0.060925, -0.132531, -0.096825, 0.012622, -0.393174, 0.748964, 0.345878, -0.366093, 0.000000, 0.000000], [0.457884, -0.133714, -0.001282, 0.192935, 0.582079, 0.304421, 0.411983, 0.366087, 0.000000, 0.000000], [-0.120526, -0.316502, 0.767950, 0.052442, 0.015213, 0.313803, -0.402831, 0.178398, 0.000000, 0.000000], [0.476902, 0.122548, 0.131248, 0.731985, -0.181350, -0.130939, -0.161095, -0.358517, 0.000000, 0.000000], [0.546741, -0.005569, 0.313884, -0.618258, 0.065684, -0.120470, 0.071063, -0.443171, 0.000000, 0.000000]]
fourier: [[40.104095, 41.846479, 53.876795, 59.787492, 128.903346], [8.603450, 8.848639, 11.640987, 13.351726, 63.347926], [10.460918, 10.543629, 11.303790, 12.095250, 80.958894], [5.191253, 5.451503, 6.667476, 7.154198, 58.590519], [37.986453, 38.588786, 50.733250, 56.872070, 99.184723], [11.480539, 13.132391, 13.180759, 14.833879, 93.680556], [39.260870, 40.925874, 51.933215, 58.569231, 109.868879], [44.911768, 45.737146, 61.406422, 67.292125, 120.427482]]
### 4
mean: [-2.523427, -2.279590, 2.736447, -2.564234, -2.208110, 2.926532, -2.763819, -1.624870]
std: [2.821306, 2.763994, 6.985609, 3.096269, 2.995973, 7.284450, 2.917211, 1.512167]
pca: [[-0.232971, 0.176969, 0.211147, -0.286914, -0.631573, -0.364738, 0.438547, -0.251519, 0.000000, 0.000000], [-0.228101, 0.229396, 0.299391, -0.145090, 0.039512, 0.300536, 0.299446, 0.776602, 0.000000, 0.000000], [0.576950, 0.406341, -0.238492, 0.395194, 0.052378, -0.159885, 0.504235, 0.079991, 0.000000, 0.000000], [-0.255577, 0.227521, 0.461681, 0.055732, 0.683350, -0.214494, 0.198410, -0.338110, 0.000000, 0.000000], [-0.246381, 0.463150, -0.225756, 0.056902, -0.091031, 0.706060, 0.054262, -0.401040, 0.000000, 0.000000], [0.601800, 0.321308, 0.467261, -0.409224, -0.068865, 0.143782, -0.337699, -0.096667, 0.000000, 0.000000], [-0.238975, 0.598631, -0.376028, -0.160043, 0.068645, -0.428381, -0.435826, 0.198380, 0.000000, 0.000000], [-0.124612, 0.151906, 0.430183, 0.735547, -0.334817, -0.048671, -0.342724, 0.058127, 0.000000, 0.000000]]
fourier: [[44.889950, 45.984812, 53.556025, 66.060132, 227.108373], [43.932883, 44.799056, 52.348737, 64.426251, 205.163056], [109.590975, 111.005854, 135.495772, 165.918053, 246.280193], [48.900084, 49.917309, 59.032155, 72.113460, 230.780998], [47.957907, 49.044082, 56.628897, 68.949908, 198.729887], [114.578982, 115.957548, 142.286620, 172.687370, 263.387851], [46.549293, 48.306229, 55.066569, 66.261844, 248.743752], [24.210398, 24.301521, 28.280505, 35.270768, 146.238325]]
### 6
mean: [5.359361, -0.906005, 6.023264, 6.267897, 2.359131, -0.779725, 5.743068, 6.436635]
std: [9.007320, 1.034883, 10.710993, 11.184217, 4.496952, 0.503784, 10.464626, 11.171338]
pca: [[0.375045, -0.331377, -0.211194, -0.355161, 0.129364, 0.049417, -0.363937, -0.653575, 0.000000, 0.000000], [-0.043086, 0.419819, 0.097231, -0.294600, 0.807351, -0.260296, -0.050577, 0.059372, 0.000000, 0.000000], [0.445983, 0.161006, 0.749997, 0.325640, -0.041649, -0.111891, 0.063706, -0.297199, 0.000000, 0.000000], [0.465687, 0.119479, -0.220912, -0.381728, -0.175524, -0.207007, 0.706356, 0.041749, 0.000000, 0.000000], [0.187243, 0.116653, 0.129695, -0.168904, 0.165355, 0.920453, 0.108672, 0.139988, 0.000000, 0.000000], [-0.020961, 0.549639, 0.125848, -0.469469, -0.516304, -0.034450, -0.435528, 0.061464, 0.000000, 0.000000], [0.435724, -0.431721, 0.168540, -0.147822, 0.053434, -0.158940, -0.314218, 0.668321, 0.000000, 0.000000], [0.465150, 0.414305, -0.523050, 0.514328, 0.046255, 0.027382, -0.248530, 0.096001, 0.000000, 0.000000]]
fourier: [[144.202309, 151.507281, 154.863322, 216.383906, 482.342464], [16.631930, 17.460086, 17.570369, 24.876084, 81.540456], [171.382615, 180.088986, 184.473408, 257.286669, 542.093814], [178.963161, 188.052359, 192.594569, 268.656197, 564.110803], [71.945503, 75.602655, 77.478840, 108.018130, 212.321782], [8.150277, 8.351216, 8.549059, 12.118260, 70.175247], [167.541490, 176.026611, 179.890200, 251.395159, 516.876148], [178.716887, 187.804200, 192.507628, 268.336139, 579.297148]]
### 8
mean: [16.958231, -2.098591, -2.090741, -6.715912, -4.424177, -6.021240, -13.309330, 19.754700]
std: [29.436626, 3.093886, 4.773382, 11.280857, 7.359105, 9.807008, 21.876930, 34.301579]
pca: [[0.553182, 0.418027, -0.243627, -0.001202, 0.025218, -0.237199, -0.100854, 0.626751, 0.000000, 0.000000], [-0.058125, 0.416979, -0.216756, 0.438238, 0.508985, 0.510264, -0.189768, -0.168130, 0.000000, 0.000000], [-0.089693, -0.410091, 0.204586, 0.249524, 0.617943, -0.467184, -0.292795, 0.183900, 0.000000, 0.000000], [-0.211992, 0.254883, -0.456567, -0.130352, -0.132889, -0.496360, -0.474044, -0.419402, 0.000000, 0.000000], [-0.138295, -0.071399, 0.035761, 0.781446, -0.558480, -0.059004, -0.150040, 0.161079, 0.000000, 0.000000], [-0.184296, 0.170073, -0.259073, 0.253759, 0.169681, -0.391132, 0.785823, -0.079393, 0.000000, 0.000000], [-0.411115, 0.606913, 0.638649, -0.099514, -0.005276, -0.150422, -0.044441, 0.142256, 0.000000, 0.000000], [0.644608, 0.126004, 0.408760, 0.209134, -0.008135, -0.199096, 0.036936, -0.562772, 0.000000, 0.000000]]
fourier: [[468.987733, 497.938418, 498.863922, 708.082838, 1526.240866], [49.631182, 51.816163, 53.625454, 74.306785, 188.873182], [75.823753, 79.827375, 81.360634, 114.843326, 188.166685], [179.944536, 190.617673, 192.071340, 271.279129, 604.432163], [117.327525, 124.631219, 124.658396, 176.977519, 398.175910], [156.481612, 165.776985, 166.813894, 235.824639, 541.911628], [349.168166, 369.505513, 372.665877, 526.073910, 1197.839725], [546.763680, 580.791682, 581.434223, 824.994920, 1777.923063]]
### 10
mean: [-11.201966]
std: [21.163202]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[337.441549, 357.780109, 358.567219, 509.427519, 1008.176862]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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[
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"network.0.bias": [
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0.03569,
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1.009976
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]
],
"network.2.bias": [
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[
0.618798,
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1.048262
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"network.6.weight": [
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],
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-2.759116, -0.033018, -2.548857, 1.582936, -1.761502, -2.993007, -1.903268, -1.661230]
std: [1.688503, 1.123097, 1.638672, 2.873423, 1.003879, 2.847613, 1.138368, 1.710088]
pca: [[0.417404, -0.008601, 0.321461, -0.523152, -0.130431, -0.576399, -0.273068, -0.157671, 0.000000, 0.000000], [0.065024, -0.177079, 0.370775, 0.789680, 0.043755, -0.323951, -0.152176, -0.270796, 0.000000, 0.000000], [0.430236, -0.100363, 0.045020, -0.068696, 0.314839, 0.611679, -0.326326, -0.467241, 0.000000, 0.000000], [-0.363385, 0.739445, 0.211111, -0.025104, 0.397730, -0.053984, -0.336927, -0.036764, 0.000000, 0.000000], [0.254111, -0.034962, 0.014250, -0.039726, 0.744280, -0.225393, 0.569540, 0.057382, 0.000000, 0.000000], [0.550395, 0.535482, -0.526348, 0.282655, -0.192913, -0.124459, 0.024061, -0.010217, 0.000000, 0.000000], [0.273556, -0.142485, 0.080416, 0.120914, 0.197265, 0.075389, -0.433631, 0.806936, 0.000000, 0.000000], [0.249105, 0.321641, 0.654891, 0.035715, -0.306070, 0.337311, 0.411433, 0.166135, 0.000000, 0.000000]]
fourier: [[26.387215, 27.380243, 31.934835, 34.189891, 248.320450], [15.827380, 16.965766, 17.402159, 19.723753, 20.167613], [27.428968, 27.974541, 28.202719, 32.338821, 229.397136], [47.284759, 49.218062, 62.499129, 63.092124, 142.464284], [15.574422, 15.640830, 17.721880, 19.194293, 158.535199], [35.715775, 40.129809, 41.015393, 51.246369, 269.370610], [16.868532, 21.341197, 21.677465, 22.863637, 171.294066], [27.960193, 29.572236, 33.204952, 35.083120, 149.510660]]
### 2
mean: [1.432259, 0.703866, 0.899543, -0.651006, 1.102052, -1.040895, 1.220765, 1.338083]
std: [2.581849, 0.583966, 0.605374, 0.337208, 2.443222, 0.699553, 2.546176, 2.917350]
pca: [[0.484050, 0.059323, -0.197609, -0.185126, -0.541707, 0.135340, -0.261152, 0.555780, 0.000000, 0.000000], [-0.098611, 0.342542, 0.491191, 0.055463, -0.344862, -0.229565, 0.625578, 0.256162, 0.000000, 0.000000], [-0.041395, 0.853510, 0.069346, -0.066893, 0.238304, 0.381095, -0.240450, -0.026190, 0.000000, 0.000000], [-0.060925, -0.132531, -0.096825, 0.012622, -0.393174, 0.748964, 0.345878, -0.366093, 0.000000, 0.000000], [0.457884, -0.133714, -0.001282, 0.192935, 0.582079, 0.304421, 0.411983, 0.366087, 0.000000, 0.000000], [-0.120526, -0.316502, 0.767950, 0.052442, 0.015213, 0.313803, -0.402831, 0.178398, 0.000000, 0.000000], [0.476902, 0.122548, 0.131248, 0.731985, -0.181350, -0.130939, -0.161095, -0.358517, 0.000000, 0.000000], [0.546741, -0.005569, 0.313884, -0.618258, 0.065684, -0.120470, 0.071063, -0.443171, 0.000000, 0.000000]]
fourier: [[40.104095, 41.846479, 53.876795, 59.787492, 128.903346], [8.603450, 8.848639, 11.640987, 13.351726, 63.347926], [10.460918, 10.543629, 11.303790, 12.095250, 80.958894], [5.191253, 5.451503, 6.667476, 7.154198, 58.590519], [37.986453, 38.588786, 50.733250, 56.872070, 99.184723], [11.480539, 13.132391, 13.180759, 14.833879, 93.680556], [39.260870, 40.925874, 51.933215, 58.569231, 109.868879], [44.911768, 45.737146, 61.406422, 67.292125, 120.427482]]
### 4
mean: [-2.523427, -2.279590, 2.736447, -2.564234, -2.208110, 2.926532, -2.763819, -1.624870]
std: [2.821306, 2.763994, 6.985609, 3.096269, 2.995973, 7.284450, 2.917211, 1.512167]
pca: [[-0.232971, 0.176969, 0.211147, -0.286914, -0.631573, -0.364738, 0.438547, -0.251519, 0.000000, 0.000000], [-0.228101, 0.229396, 0.299391, -0.145090, 0.039512, 0.300536, 0.299446, 0.776602, 0.000000, 0.000000], [0.576950, 0.406341, -0.238492, 0.395194, 0.052378, -0.159885, 0.504235, 0.079991, 0.000000, 0.000000], [-0.255577, 0.227521, 0.461681, 0.055732, 0.683350, -0.214494, 0.198410, -0.338110, 0.000000, 0.000000], [-0.246381, 0.463150, -0.225756, 0.056902, -0.091031, 0.706060, 0.054262, -0.401040, 0.000000, 0.000000], [0.601800, 0.321308, 0.467261, -0.409224, -0.068865, 0.143782, -0.337699, -0.096667, 0.000000, 0.000000], [-0.238975, 0.598631, -0.376028, -0.160043, 0.068645, -0.428381, -0.435826, 0.198380, 0.000000, 0.000000], [-0.124612, 0.151906, 0.430183, 0.735547, -0.334817, -0.048671, -0.342724, 0.058127, 0.000000, 0.000000]]
fourier: [[44.889950, 45.984812, 53.556025, 66.060132, 227.108373], [43.932883, 44.799056, 52.348737, 64.426251, 205.163056], [109.590975, 111.005854, 135.495772, 165.918053, 246.280193], [48.900084, 49.917309, 59.032155, 72.113460, 230.780998], [47.957907, 49.044082, 56.628897, 68.949908, 198.729887], [114.578982, 115.957548, 142.286620, 172.687370, 263.387851], [46.549293, 48.306229, 55.066569, 66.261844, 248.743752], [24.210398, 24.301521, 28.280505, 35.270768, 146.238325]]
### 6
mean: [5.359361, -0.906005, 6.023264, 6.267897, 2.359131, -0.779725, 5.743068, 6.436635]
std: [9.007320, 1.034883, 10.710993, 11.184217, 4.496952, 0.503784, 10.464626, 11.171338]
pca: [[0.375045, -0.331377, -0.211194, -0.355161, 0.129364, 0.049417, -0.363937, -0.653575, 0.000000, 0.000000], [-0.043086, 0.419819, 0.097231, -0.294600, 0.807351, -0.260296, -0.050577, 0.059372, 0.000000, 0.000000], [0.445983, 0.161006, 0.749997, 0.325640, -0.041649, -0.111891, 0.063706, -0.297199, 0.000000, 0.000000], [0.465687, 0.119479, -0.220912, -0.381728, -0.175524, -0.207007, 0.706356, 0.041749, 0.000000, 0.000000], [0.187243, 0.116653, 0.129695, -0.168904, 0.165355, 0.920453, 0.108672, 0.139988, 0.000000, 0.000000], [-0.020961, 0.549639, 0.125848, -0.469469, -0.516304, -0.034450, -0.435528, 0.061464, 0.000000, 0.000000], [0.435724, -0.431721, 0.168540, -0.147822, 0.053434, -0.158940, -0.314218, 0.668321, 0.000000, 0.000000], [0.465150, 0.414305, -0.523050, 0.514328, 0.046255, 0.027382, -0.248530, 0.096001, 0.000000, 0.000000]]
fourier: [[144.202309, 151.507281, 154.863322, 216.383906, 482.342464], [16.631930, 17.460086, 17.570369, 24.876084, 81.540456], [171.382615, 180.088986, 184.473408, 257.286669, 542.093814], [178.963161, 188.052359, 192.594569, 268.656197, 564.110803], [71.945503, 75.602655, 77.478840, 108.018130, 212.321782], [8.150277, 8.351216, 8.549059, 12.118260, 70.175247], [167.541490, 176.026611, 179.890200, 251.395159, 516.876148], [178.716887, 187.804200, 192.507628, 268.336139, 579.297148]]
### 8
mean: [16.958231, -2.098591, -2.090741, -6.715912, -4.424177, -6.021240, -13.309330, 19.754700]
std: [29.436626, 3.093886, 4.773382, 11.280857, 7.359105, 9.807008, 21.876930, 34.301579]
pca: [[0.553182, 0.418027, -0.243627, -0.001202, 0.025218, -0.237199, -0.100854, 0.626751, 0.000000, 0.000000], [-0.058125, 0.416979, -0.216756, 0.438238, 0.508985, 0.510264, -0.189768, -0.168130, 0.000000, 0.000000], [-0.089693, -0.410091, 0.204586, 0.249524, 0.617943, -0.467184, -0.292795, 0.183900, 0.000000, 0.000000], [-0.211992, 0.254883, -0.456567, -0.130352, -0.132889, -0.496360, -0.474044, -0.419402, 0.000000, 0.000000], [-0.138295, -0.071399, 0.035761, 0.781446, -0.558480, -0.059004, -0.150040, 0.161079, 0.000000, 0.000000], [-0.184296, 0.170073, -0.259073, 0.253759, 0.169681, -0.391132, 0.785823, -0.079393, 0.000000, 0.000000], [-0.411115, 0.606913, 0.638649, -0.099514, -0.005276, -0.150422, -0.044441, 0.142256, 0.000000, 0.000000], [0.644608, 0.126004, 0.408760, 0.209134, -0.008135, -0.199096, 0.036936, -0.562772, 0.000000, 0.000000]]
fourier: [[468.987733, 497.938418, 498.863922, 708.082838, 1526.240866], [49.631182, 51.816163, 53.625454, 74.306785, 188.873182], [75.823753, 79.827375, 81.360634, 114.843326, 188.166685], [179.944536, 190.617673, 192.071340, 271.279129, 604.432163], [117.327525, 124.631219, 124.658396, 176.977519, 398.175910], [156.481612, 165.776985, 166.813894, 235.824639, 541.911628], [349.168166, 369.505513, 372.665877, 526.073910, 1197.839725], [546.763680, 580.791682, 581.434223, 824.994920, 1777.923063]]
### 10
mean: [-11.201966]
std: [21.163202]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[337.441549, 357.780109, 358.567219, 509.427519, 1008.176862]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 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": [[-0.378555, -0.162193, -0.099691, -0.598144, -0.084357], [-0.066211, -0.490187, 0.039846, 0.374379, -0.319274], [-0.16888, -0.228093, -0.197074, -0.428822, -0.402652], [0.643974, -0.132596, -0.077026, -0.031104, 1.30859], [-0.045921, -0.119478, -0.25364, -0.255928, -0.183999], [0.758428, -0.57387, -0.22784, -0.957375, -0.027805], [-0.147864, -0.209486, -0.105056, -0.156823, -0.374888], [-0.018953, -0.600284, -0.017104, -0.379124, 0.439399]], "network.0.bias": [-0.397505, 0.450311, -0.095204, -0.363162, -0.181059, -0.327847, -0.319417, -0.236979], "network.2.weight": [[-0.034655, -0.323945, -0.0827, 0.886404, -0.28148, 0.276957, -0.082564, 0.479998], [-0.054128, 0.374228, -0.09772, -0.192972, -0.149525, 0.28776, 0.105326, -0.003442], [0.016325, 0.928655, -0.185145, -0.031093, 0.059096, 0.439568, -0.279979, 0.00458], [0.097178, -0.073318, -0.246767, -0.109586, 0.271413, -0.141398, -0.447327, -0.091952], [0.034791, -0.541165, -0.058444, 0.803647, 0.280582, 0.173326, -0.410479, 0.654939], [-0.042736, -0.343565, 0.117154, -0.285718, -0.290336, 0.0501, -0.556505, -0.066441], [0.151735, -0.316542, 0.126306, 0.824344, 0.03569, 0.269331, 0.037638, 1.009976], [0.05379, -0.513527, -0.271057, 0.974431, -0.350324, 0.550005, 0.25892, 0.372774]], "network.2.bias": [-0.212129, 0.859041, 0.475642, -0.376402, -0.288648, -0.346754, -0.359606, -0.427132], "network.4.weight": [[-0.373475, -0.253681, 0.13148, -0.290883, -0.613913, -0.155352, -0.060592, -0.188666], [-0.302689, -0.290138, 0.124035, -0.330561, -0.282156, 0.112016, -0.296539, -0.304365], [0.618798, -0.36906, -0.852333, 0.034744, 0.857525, 0.351428, 0.503338, 0.80131], [-0.522989, -0.48306, 0.265806, -0.241509, 0.072158, -0.488871, -0.446504, -0.408066], [-0.358263, 0.005175, -0.257803, 0.172802, -0.186726, -0.141769, -0.371431, -0.334746], [0.741958, -0.918917, -0.527312, -0.015231, 0.489954, -0.092785, 0.507016, 1.048262], [-0.81819, -0.234134, -0.320948, -0.009403, 0.054445, -0.061965, -0.421582, -0.073673], [0.120362, -0.195749, 0.063137, 0.187806, -0.310051, -0.044982, 0.122708, -0.558741]], "network.4.bias": [-0.538787, -0.297971, -0.605233, -0.305185, 0.013462, -0.39926, -0.268853, -0.507478], "network.6.weight": [[0.007254, -0.223296, 0.827393, -0.079096, 0.087651, 0.575207, 0.14383, 0.197529], [-0.025028, 0.274224, -0.2434, -0.088569, -0.291454, 0.075859, 0.121549, 0.183318], [0.050476, -0.31979, 0.76989, 0.313882, 0.117804, 0.888759, -0.249101, 0.339658], [0.395247, 0.118339, 0.823453, 0.268564, 0.031677, 0.909321, 0.058563, 0.170921], [0.310024, -0.323833, 0.303955, -0.3485, 0.080162, 0.391586, -0.149664, 0.144217], [-0.312414, -0.146812, -0.251099, -0.276751, 0.323465, 0.16386, 0.015037, 0.344608], [0.57252, -0.183336, 0.980496, 0.322009, 0.403326, 0.649863, 0.453096, -0.019914], [0.104346, -0.240813, 0.731885, -0.094041, -0.123819, 0.994978, -0.400581, 0.128517]], "network.6.bias": [-0.058181, -0.289277, -0.427119, -0.466728, -0.34976, -0.484744, -0.550251, -0.293681], "network.8.weight": [[-0.301003, 0.21781, 0.797769, 0.690841, 0.250211, -0.110431, 0.93142, 0.48857], [-0.454289, 0.297001, -0.057402, 0.25836, 0.245589, -0.346143, -0.014748, -0.196589], [0.158269, 0.114219, -0.192724, -0.246247, -0.472852, -0.27063, -0.198645, 0.241345], [-0.34242, -0.293471, -0.183336, -0.254623, -0.315827, 0.270276, 0.175102, -0.349635], [-0.200524, 0.244307, -0.161817, -0.11058, -0.200669, 0.195376, -0.255427, 0.079435], [-0.322664, 0.085433, -0.280335, 0.272901, -0.123136, 0.286172, -0.277195, -0.321724], [-0.58907, 0.013197, -0.121075, -0.42655, 0.29516, 0.138645, -0.275288, -0.817801], [0.366029, -0.229542, 0.634928, 0.684754, 0.72991, 0.285106, 0.714755, 0.55942]], "network.8.bias": [-0.409613, -0.217509, 0.68522, -0.008931, -0.076473, -0.196084, -0.290279, -0.532195], "network.10.weight": [[-0.297405, 0.01544, 0.695751, -0.125827, 0.347492, 0.124474, 0.225605, -0.359985]], "network.10.bias": [0.848769]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7018245458602905, "train_acc": 0.455, "val_loss": 0.7058233618736267, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6616032123565674, "train_acc": 0.575, "val_loss": 0.7570552229881287, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.629413366317749, "train_acc": 0.575, "val_loss": 0.6646535992622375, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5816493928432465, "train_acc": 0.515, "val_loss": 0.5624096393585205, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5006185322999954, "train_acc": 0.79, "val_loss": 0.4855091869831085, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.43559399247169495, "train_acc": 0.79, "val_loss": 0.4513339102268219, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4044300615787506, "train_acc": 0.82, "val_loss": 0.43107861280441284, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3963944613933563, "train_acc": 0.82, "val_loss": 0.42815402150154114, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.36559975147247314, "train_acc": 0.83, "val_loss": 0.4324163794517517, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3871314227581024, "train_acc": 0.835, "val_loss": 0.4336702823638916, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3801492005586624, "train_acc": 0.835, "val_loss": 0.4177767038345337, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.3758634626865387, "train_acc": 0.835, "val_loss": 0.403004914522171, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3775572031736374, "train_acc": 0.84, "val_loss": 0.3950534164905548, "val_acc": 0.84}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.7058233618736267, "final_val_loss": 0.6646535992622375, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5624096393585205, "final_val_loss": 0.3950534164905548, "initial_val_acc": 0.76, "final_val_acc": 0.84, "best_val_acc": 0.84, "best_epoch": 12}, "improvement": 0.39999999999999997, "first_improvement_epoch": 2}}
|
9,775
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.5, "improved_accuracy": 0.9, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9667, "learning_rate": 0.06921731883170448, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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-0.586731,
-0.396111
],
[
0.274371,
0.072097,
0.330919,
0.629798,
0.189667,
-0.00255
],
[
-0.241919,
0.233776,
0.335542,
0.861095,
-0.452197,
0.294962
],
[
0.226828,
-0.295203,
0.275349,
0.454233,
0.051282,
-0.204101
],
[
0.100351,
0.182484,
-0.11854,
-0.30083,
0.397837,
0.289688
]
],
"network.6.bias": [
-0.218492,
-0.07374,
0.462477,
0.306325,
-0.295801,
0.507067
],
"network.8.weight": [
[
0.025645,
0.405427,
-0.065902,
-0.287514,
0.27948,
-0.389083
],
[
-0.262366,
-0.051995,
-0.591469,
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-0.135484,
0.087181
],
[
-0.383862,
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0.248208,
0.739048,
0.614688,
-0.603185
],
[
-0.072666,
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0.31356,
0.187605,
-0.206288,
0.689991
],
[
0.39312,
-0.180038,
0.00425,
-0.400144,
-0.350526,
-0.366248
],
[
-0.23665,
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0.083504,
0.579862,
0.415519,
-0.135966
]
],
"network.8.bias": [
-0.392151,
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1.114536,
-0.157609,
-0.33909
],
"network.10.weight": [
[
0.095338,
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0.026158,
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0.000602
],
[
0.249469,
0.095973,
-0.149076,
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-0.396886,
-0.499575
],
[
-0.219477,
0.174766,
0.848328,
-0.281585,
0.068094,
0.777857
],
[
-0.280705,
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0.934433,
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0.090283
],
[
-0.079297,
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0.481595,
-0.167791,
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0.504918
],
[
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0.379553,
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0.128286,
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]
],
"network.10.bias": [
-0.278019,
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0.971429,
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-0.072347
],
"network.12.weight": [
[
0.168535,
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0.846094,
-0.692542,
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]
],
"network.12.bias": [
0.430222
]
}
## Activation Signature
### 0
mean: [-0.173470, -0.149663, -2.381225, 1.646833, 1.495750, 1.008932]
std: [1.368080, 1.551287, 1.696984, 2.344549, 2.224385, 2.198040]
pca: [[-0.140112, 0.461120, -0.018772, -0.061270, 0.285523, 0.825898, 0.000000, 0.000000, 0.000000, 0.000000], [0.025183, -0.531186, 0.148855, 0.645161, -0.278751, 0.448459, 0.000000, 0.000000, 0.000000, 0.000000], [-0.410846, -0.040703, 0.821313, 0.052445, 0.360583, -0.149073, 0.000000, 0.000000, 0.000000, 0.000000], [0.542767, -0.450440, -0.024072, -0.156692, 0.684390, 0.094798, 0.000000, 0.000000, 0.000000, 0.000000], [0.436147, 0.533117, 0.075926, 0.652940, 0.190291, -0.239282, 0.000000, 0.000000, 0.000000, 0.000000], [0.571070, 0.128231, 0.544601, -0.355501, -0.454042, 0.168259, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.522440, 19.689581, 21.262386, 21.931450, 25.364692], [21.759708, 25.042818, 26.423699, 26.620000, 27.049583], [28.895351, 29.129252, 31.678153, 33.454456, 214.310201], [39.429938, 40.168381, 40.761763, 44.731701, 148.215003], [32.177495, 40.870574, 40.939188, 47.151592, 134.617525], [34.758389, 35.136377, 35.607535, 44.523397, 90.803880]]
### 2
mean: [0.311011, -2.051797, -1.919602, 3.564389, -0.554547, -0.697950]
std: [1.681963, 1.827400, 1.521909, 3.319263, 2.248261, 1.414271]
pca: [[-0.051744, 0.597756, -0.350203, -0.524556, 0.031851, 0.491115, 0.000000, 0.000000, 0.000000, 0.000000], [-0.418688, -0.063899, -0.411785, 0.667210, -0.013448, 0.453541, 0.000000, 0.000000, 0.000000, 0.000000], [-0.338379, -0.113808, 0.744597, -0.104446, 0.222000, 0.507868, 0.000000, 0.000000, 0.000000, 0.000000], [0.737526, 0.331573, 0.202075, 0.437739, 0.197912, 0.272940, 0.000000, 0.000000, 0.000000, 0.000000], [-0.306013, 0.652914, 0.331377, 0.258499, -0.472037, -0.283917, 0.000000, 0.000000, 0.000000, 0.000000], [-0.264451, 0.299024, -0.052166, 0.101612, 0.829176, -0.374260, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.412963, 26.538519, 27.438041, 27.990956, 28.028177], [28.416424, 32.242110, 33.760906, 42.008795, 184.661770], [24.210632, 26.427243, 32.487168, 35.687573, 172.764149], [48.888109, 60.735619, 63.260912, 78.036773, 320.795066], [32.399041, 32.452815, 38.030179, 38.715419, 49.909225], [22.625168, 22.754328, 24.446135, 26.138194, 62.815529]]
### 4
mean: [-0.978307, -1.342514, 1.849168, 3.285088, 0.737522, -1.023079]
std: [0.637153, 1.029339, 1.873226, 3.475675, 0.355271, 0.884430]
pca: [[-0.145397, -0.195224, 0.626774, 0.065095, 0.433689, 0.596304, 0.000000, 0.000000, 0.000000, 0.000000], [-0.184715, 0.609707, -0.460524, 0.383112, 0.244902, 0.418692, 0.000000, 0.000000, 0.000000, 0.000000], [0.452164, -0.283570, -0.434456, -0.305123, 0.657600, 0.029109, 0.000000, 0.000000, 0.000000, 0.000000], [0.846573, 0.345755, 0.300945, 0.221523, -0.134810, 0.077157, 0.000000, 0.000000, 0.000000, 0.000000], [-0.010352, -0.306557, 0.028171, 0.801387, 0.284264, -0.426726, 0.000000, 0.000000, 0.000000, 0.000000], [-0.153280, 0.544251, 0.339054, -0.254154, 0.469596, -0.529362, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.551533, 10.677226, 12.394968, 13.753735, 88.047602], [16.765054, 17.736808, 17.822116, 22.873842, 120.826249], [32.835015, 33.660658, 35.692868, 44.475607, 166.425096], [57.118079, 63.504845, 65.105710, 78.777006, 295.657932], [5.160498, 5.423720, 5.622222, 8.980895, 66.377017], [14.579502, 14.680057, 15.029940, 19.678820, 92.077063]]
### 6
mean: [-1.146459, 1.381092, 3.285491, 3.416666, 1.743996, -0.402223]
std: [0.955292, 2.001561, 2.783926, 3.616864, 2.076926, 1.278969]
pca: [[-0.168453, 0.416204, 0.878803, 0.075464, -0.061414, -0.128986, 0.000000, 0.000000, 0.000000, 0.000000], [0.355223, -0.447105, 0.361881, -0.399814, 0.618193, 0.030696, 0.000000, 0.000000, 0.000000, 0.000000], [0.494222, 0.577866, -0.190098, -0.513009, -0.069522, -0.343025, 0.000000, 0.000000, 0.000000, 0.000000], [0.643183, -0.191967, 0.097972, 0.625637, -0.143389, -0.357608, 0.000000, 0.000000, 0.000000, 0.000000], [0.368850, 0.383890, -0.002176, 0.233598, 0.178638, 0.793784, 0.000000, 0.000000, 0.000000, 0.000000], [-0.226824, 0.329725, -0.225849, 0.353958, 0.746164, -0.326768, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.899878, 16.859336, 17.967174, 21.067416, 103.181299], [32.315167, 35.979590, 37.661708, 44.856381, 124.298291], [47.359377, 51.542632, 51.998581, 64.304882, 295.694108], [59.721140, 66.162398, 67.734906, 82.121430, 307.499948], [35.251931, 38.505776, 38.719181, 47.902647, 156.959652], [20.547705, 22.906603, 24.079699, 28.584707, 36.200060]]
### 8
mean: [-0.599231, -4.375575, 4.204549, 2.370014, -2.505301, 3.905332]
std: [0.214557, 4.201409, 5.227995, 0.669899, 2.411697, 4.852269]
pca: [[0.024143, 0.080964, -0.300964, 0.935222, 0.152484, 0.066269, 0.000000, 0.000000, 0.000000, 0.000000], [-0.485772, -0.242833, -0.480626, -0.096437, -0.393309, 0.556835, 0.000000, 0.000000, 0.000000, 0.000000], [0.604445, 0.514910, -0.002721, -0.040223, -0.344679, 0.499084, 0.000000, 0.000000, 0.000000, 0.000000], [0.076085, -0.468058, 0.595585, 0.148274, 0.250879, 0.579212, 0.000000, 0.000000, 0.000000, 0.000000], [-0.278629, 0.484100, -0.141060, -0.220057, 0.720513, 0.317097, 0.000000, 0.000000, 0.000000, 0.000000], [0.560951, -0.464665, -0.551175, -0.209838, 0.348101, 0.020517, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.909987, 4.091392, 4.191258, 4.366730, 53.930824], [70.486174, 77.716635, 78.250540, 96.074657, 393.801742], [88.096341, 96.846263, 97.009539, 119.024805, 378.409375], [10.236324, 11.456585, 13.268394, 15.328783, 213.301236], [39.674841, 43.700757, 45.886006, 54.561785, 225.477121], [80.705463, 88.696008, 91.359563, 109.396132, 351.479862]]
### 10
mean: [-0.473835, -3.446807, 6.101628, 2.403424, 3.576058, -1.385753]
std: [0.285868, 3.346315, 7.874247, 0.318273, 4.768525, 0.682531]
pca: [[-0.029084, 0.034873, -0.074013, 0.173722, 0.973570, 0.120177, 0.000000, 0.000000, 0.000000, 0.000000], [-0.340492, -0.338075, 0.020271, 0.658249, -0.181922, 0.550429, 0.000000, 0.000000, 0.000000, 0.000000], [0.801325, -0.131760, 0.113281, -0.126051, -0.009156, 0.558312, 0.000000, 0.000000, 0.000000, 0.000000], [-0.029857, 0.723314, 0.640627, 0.216817, -0.033078, 0.131978, 0.000000, 0.000000, 0.000000, 0.000000], [0.485272, -0.055674, -0.031010, 0.674225, -0.038066, -0.551744, 0.000000, 0.000000, 0.000000, 0.000000], [-0.068682, -0.583820, 0.754927, -0.138024, 0.128214, -0.221436, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.898578, 5.305822, 5.323171, 6.411364, 42.645160], [55.979576, 61.134516, 63.274617, 75.072122, 310.212639], [133.308980, 145.199237, 147.533348, 176.406456, 549.146558], [5.240239, 6.073479, 6.369021, 6.372010, 216.308184], [80.675552, 87.881080, 89.386405, 106.812617, 321.845198], [10.793349, 11.501681, 13.574988, 15.244074, 124.717773]]
### 12
mean: [-3.330900]
std: [7.454585]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[127.408477, 137.669224, 140.339002, 166.504568, 299.780984]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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-0.277661,
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],
[
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[
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],
[
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],
[
0.628295,
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0.78279
],
[
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-0.475073,
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0.496272
]
],
"network.0.bias": [
-0.222215,
0.420351,
-0.254115,
0.58304,
-0.251132,
-0.271403
],
"network.2.weight": [
[
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-0.048256
],
[
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-0.267142,
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-0.252519,
-0.400233,
-0.371318
],
[
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-0.367566,
0.100431,
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-0.203197,
-0.265842
],
[
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0.979342,
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],
[
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0.575248,
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0.742067,
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[
0.094249,
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0.311658,
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]
],
"network.2.bias": [
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-0.388036,
-0.228413,
0.188282,
0.184407,
0.034435
],
"network.4.weight": [
[
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],
[
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0.387741,
-0.330881,
0.06369,
-0.016738
],
[
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0.483866,
0.08439,
-0.111951
],
[
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0.641962
],
[
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0.248163
],
[
0.007242,
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0.05292
]
],
"network.4.bias": [
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-0.358887,
-0.193835,
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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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-0.135966
]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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],
[
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],
[
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0.777857
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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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-0.514555,
0.846094,
-0.692542,
-0.059826
]
],
"network.12.bias": [
0.430222
]
}
## Activation Signature
### 0
mean: [-0.173470, -0.149663, -2.381225, 1.646833, 1.495750, 1.008932]
std: [1.368080, 1.551287, 1.696984, 2.344549, 2.224385, 2.198040]
pca: [[-0.140112, 0.461120, -0.018772, -0.061270, 0.285523, 0.825898, 0.000000, 0.000000, 0.000000, 0.000000], [0.025183, -0.531186, 0.148855, 0.645161, -0.278751, 0.448459, 0.000000, 0.000000, 0.000000, 0.000000], [-0.410846, -0.040703, 0.821313, 0.052445, 0.360583, -0.149073, 0.000000, 0.000000, 0.000000, 0.000000], [0.542767, -0.450440, -0.024072, -0.156692, 0.684390, 0.094798, 0.000000, 0.000000, 0.000000, 0.000000], [0.436147, 0.533117, 0.075926, 0.652940, 0.190291, -0.239282, 0.000000, 0.000000, 0.000000, 0.000000], [0.571070, 0.128231, 0.544601, -0.355501, -0.454042, 0.168259, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.522440, 19.689581, 21.262386, 21.931450, 25.364692], [21.759708, 25.042818, 26.423699, 26.620000, 27.049583], [28.895351, 29.129252, 31.678153, 33.454456, 214.310201], [39.429938, 40.168381, 40.761763, 44.731701, 148.215003], [32.177495, 40.870574, 40.939188, 47.151592, 134.617525], [34.758389, 35.136377, 35.607535, 44.523397, 90.803880]]
### 2
mean: [0.311011, -2.051797, -1.919602, 3.564389, -0.554547, -0.697950]
std: [1.681963, 1.827400, 1.521909, 3.319263, 2.248261, 1.414271]
pca: [[-0.051744, 0.597756, -0.350203, -0.524556, 0.031851, 0.491115, 0.000000, 0.000000, 0.000000, 0.000000], [-0.418688, -0.063899, -0.411785, 0.667210, -0.013448, 0.453541, 0.000000, 0.000000, 0.000000, 0.000000], [-0.338379, -0.113808, 0.744597, -0.104446, 0.222000, 0.507868, 0.000000, 0.000000, 0.000000, 0.000000], [0.737526, 0.331573, 0.202075, 0.437739, 0.197912, 0.272940, 0.000000, 0.000000, 0.000000, 0.000000], [-0.306013, 0.652914, 0.331377, 0.258499, -0.472037, -0.283917, 0.000000, 0.000000, 0.000000, 0.000000], [-0.264451, 0.299024, -0.052166, 0.101612, 0.829176, -0.374260, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.412963, 26.538519, 27.438041, 27.990956, 28.028177], [28.416424, 32.242110, 33.760906, 42.008795, 184.661770], [24.210632, 26.427243, 32.487168, 35.687573, 172.764149], [48.888109, 60.735619, 63.260912, 78.036773, 320.795066], [32.399041, 32.452815, 38.030179, 38.715419, 49.909225], [22.625168, 22.754328, 24.446135, 26.138194, 62.815529]]
### 4
mean: [-0.978307, -1.342514, 1.849168, 3.285088, 0.737522, -1.023079]
std: [0.637153, 1.029339, 1.873226, 3.475675, 0.355271, 0.884430]
pca: [[-0.145397, -0.195224, 0.626774, 0.065095, 0.433689, 0.596304, 0.000000, 0.000000, 0.000000, 0.000000], [-0.184715, 0.609707, -0.460524, 0.383112, 0.244902, 0.418692, 0.000000, 0.000000, 0.000000, 0.000000], [0.452164, -0.283570, -0.434456, -0.305123, 0.657600, 0.029109, 0.000000, 0.000000, 0.000000, 0.000000], [0.846573, 0.345755, 0.300945, 0.221523, -0.134810, 0.077157, 0.000000, 0.000000, 0.000000, 0.000000], [-0.010352, -0.306557, 0.028171, 0.801387, 0.284264, -0.426726, 0.000000, 0.000000, 0.000000, 0.000000], [-0.153280, 0.544251, 0.339054, -0.254154, 0.469596, -0.529362, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.551533, 10.677226, 12.394968, 13.753735, 88.047602], [16.765054, 17.736808, 17.822116, 22.873842, 120.826249], [32.835015, 33.660658, 35.692868, 44.475607, 166.425096], [57.118079, 63.504845, 65.105710, 78.777006, 295.657932], [5.160498, 5.423720, 5.622222, 8.980895, 66.377017], [14.579502, 14.680057, 15.029940, 19.678820, 92.077063]]
### 6
mean: [-1.146459, 1.381092, 3.285491, 3.416666, 1.743996, -0.402223]
std: [0.955292, 2.001561, 2.783926, 3.616864, 2.076926, 1.278969]
pca: [[-0.168453, 0.416204, 0.878803, 0.075464, -0.061414, -0.128986, 0.000000, 0.000000, 0.000000, 0.000000], [0.355223, -0.447105, 0.361881, -0.399814, 0.618193, 0.030696, 0.000000, 0.000000, 0.000000, 0.000000], [0.494222, 0.577866, -0.190098, -0.513009, -0.069522, -0.343025, 0.000000, 0.000000, 0.000000, 0.000000], [0.643183, -0.191967, 0.097972, 0.625637, -0.143389, -0.357608, 0.000000, 0.000000, 0.000000, 0.000000], [0.368850, 0.383890, -0.002176, 0.233598, 0.178638, 0.793784, 0.000000, 0.000000, 0.000000, 0.000000], [-0.226824, 0.329725, -0.225849, 0.353958, 0.746164, -0.326768, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.899878, 16.859336, 17.967174, 21.067416, 103.181299], [32.315167, 35.979590, 37.661708, 44.856381, 124.298291], [47.359377, 51.542632, 51.998581, 64.304882, 295.694108], [59.721140, 66.162398, 67.734906, 82.121430, 307.499948], [35.251931, 38.505776, 38.719181, 47.902647, 156.959652], [20.547705, 22.906603, 24.079699, 28.584707, 36.200060]]
### 8
mean: [-0.599231, -4.375575, 4.204549, 2.370014, -2.505301, 3.905332]
std: [0.214557, 4.201409, 5.227995, 0.669899, 2.411697, 4.852269]
pca: [[0.024143, 0.080964, -0.300964, 0.935222, 0.152484, 0.066269, 0.000000, 0.000000, 0.000000, 0.000000], [-0.485772, -0.242833, -0.480626, -0.096437, -0.393309, 0.556835, 0.000000, 0.000000, 0.000000, 0.000000], [0.604445, 0.514910, -0.002721, -0.040223, -0.344679, 0.499084, 0.000000, 0.000000, 0.000000, 0.000000], [0.076085, -0.468058, 0.595585, 0.148274, 0.250879, 0.579212, 0.000000, 0.000000, 0.000000, 0.000000], [-0.278629, 0.484100, -0.141060, -0.220057, 0.720513, 0.317097, 0.000000, 0.000000, 0.000000, 0.000000], [0.560951, -0.464665, -0.551175, -0.209838, 0.348101, 0.020517, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.909987, 4.091392, 4.191258, 4.366730, 53.930824], [70.486174, 77.716635, 78.250540, 96.074657, 393.801742], [88.096341, 96.846263, 97.009539, 119.024805, 378.409375], [10.236324, 11.456585, 13.268394, 15.328783, 213.301236], [39.674841, 43.700757, 45.886006, 54.561785, 225.477121], [80.705463, 88.696008, 91.359563, 109.396132, 351.479862]]
### 10
mean: [-0.473835, -3.446807, 6.101628, 2.403424, 3.576058, -1.385753]
std: [0.285868, 3.346315, 7.874247, 0.318273, 4.768525, 0.682531]
pca: [[-0.029084, 0.034873, -0.074013, 0.173722, 0.973570, 0.120177, 0.000000, 0.000000, 0.000000, 0.000000], [-0.340492, -0.338075, 0.020271, 0.658249, -0.181922, 0.550429, 0.000000, 0.000000, 0.000000, 0.000000], [0.801325, -0.131760, 0.113281, -0.126051, -0.009156, 0.558312, 0.000000, 0.000000, 0.000000, 0.000000], [-0.029857, 0.723314, 0.640627, 0.216817, -0.033078, 0.131978, 0.000000, 0.000000, 0.000000, 0.000000], [0.485272, -0.055674, -0.031010, 0.674225, -0.038066, -0.551744, 0.000000, 0.000000, 0.000000, 0.000000], [-0.068682, -0.583820, 0.754927, -0.138024, 0.128214, -0.221436, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.898578, 5.305822, 5.323171, 6.411364, 42.645160], [55.979576, 61.134516, 63.274617, 75.072122, 310.212639], [133.308980, 145.199237, 147.533348, 176.406456, 549.146558], [5.240239, 6.073479, 6.369021, 6.372010, 216.308184], [80.675552, 87.881080, 89.386405, 106.812617, 321.845198], [10.793349, 11.501681, 13.574988, 15.244074, 124.717773]]
### 12
mean: [-3.330900]
std: [7.454585]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[127.408477, 137.669224, 140.339002, 166.504568, 299.780984]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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"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": [[-0.355812, -0.277661, -0.088209, 0.333988, 0.37746], [0.193911, 0.172378, 0.257107, -0.538541, -0.411595], [-0.647262, -0.00919, -0.164853, -0.437776, -0.017624], [1.080049, 0.271458, -0.089236, -0.116812, -0.274073], [0.628295, -0.452696, -0.089307, 0.471464, 0.78279], [0.941208, 0.098597, -0.475073, 0.144418, 0.496272]], "network.0.bias": [-0.222215, 0.420351, -0.254115, 0.58304, -0.251132, -0.271403], "network.2.weight": [[0.374187, 0.133629, -0.527097, -0.5424, 0.701948, -0.048256], [0.273721, -0.267142, -0.366565, -0.252519, -0.400233, -0.371318], [-0.594059, -0.367566, 0.100431, -0.307722, -0.203197, -0.265842], [0.180737, 0.280678, 0.063296, 0.641381, 0.979342, 0.259466], [0.071381, -0.427916, 0.575248, -0.714518, 0.742067, -0.417005], [0.094249, -0.117885, -0.145897, -0.425522, 0.311658, -0.368521]], "network.2.bias": [-0.112722, -0.388036, -0.228413, 0.188282, 0.184407, 0.034435], "network.4.weight": [[-0.364032, -0.043922, -0.3075, -0.076363, -0.086964, 0.159184], [0.220028, 0.345865, 0.387741, -0.330881, 0.06369, -0.016738], [0.387938, 0.399165, -0.010562, 0.483866, 0.08439, -0.111951], [0.913413, -0.036626, 0.174407, 0.716631, 0.637802, 0.641962], [-0.110264, -0.201428, -0.022301, 0.060359, -0.30647, 0.248163], [0.007242, -0.056797, -0.241148, -0.265316, 0.297324, 0.05292]], "network.4.bias": [-0.411734, -0.358887, -0.193835, -0.381184, 0.723811, -0.24256], "network.6.weight": [[0.03471, 0.314125, 0.232305, -0.394427, -0.082473, -0.380832], [0.242447, -0.110135, 0.201615, 0.463229, -0.586731, -0.396111], [0.274371, 0.072097, 0.330919, 0.629798, 0.189667, -0.00255], [-0.241919, 0.233776, 0.335542, 0.861095, -0.452197, 0.294962], [0.226828, -0.295203, 0.275349, 0.454233, 0.051282, -0.204101], [0.100351, 0.182484, -0.11854, -0.30083, 0.397837, 0.289688]], "network.6.bias": [-0.218492, -0.07374, 0.462477, 0.306325, -0.295801, 0.507067], "network.8.weight": [[0.025645, 0.405427, -0.065902, -0.287514, 0.27948, -0.389083], [-0.262366, -0.051995, -0.591469, -0.59758, -0.135484, 0.087181], [-0.383862, 0.246303, 0.248208, 0.739048, 0.614688, -0.603185], [-0.072666, -0.163406, 0.31356, 0.187605, -0.206288, 0.689991], [0.39312, -0.180038, 0.00425, -0.400144, -0.350526, -0.366248], [-0.23665, 0.863766, 0.083504, 0.579862, 0.415519, -0.135966]], "network.8.bias": [-0.392151, -0.096943, -0.42521, 1.114536, -0.157609, -0.33909], "network.10.weight": [[0.095338, -0.14329, -0.059919, 0.026158, -0.218885, 0.000602], [0.249469, 0.095973, -0.149076, -0.288388, -0.396886, -0.499575], [-0.219477, 0.174766, 0.848328, -0.281585, 0.068094, 0.777857], [-0.280705, -0.066877, -0.262841, 0.934433, -0.181492, 0.090283], [-0.079297, -0.106537, 0.481595, -0.167791, -0.172996, 0.504918], [-0.065835, -0.548539, 0.379553, -0.436246, 0.128286, -0.48509]], "network.10.bias": [-0.278019, -0.130648, -0.006136, 0.971429, -0.124172, -0.072347], "network.12.weight": [[0.168535, -0.140309, -0.514555, 0.846094, -0.692542, -0.059826]], "network.12.bias": [0.430222]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6876160502433777, "train_acc": 0.57, "val_loss": 0.7099659442901611, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6729835867881775, "train_acc": 0.57, "val_loss": 0.6938076019287109, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6398221254348755, "train_acc": 0.57, "val_loss": 0.5941563844680786, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.514904722571373, "train_acc": 0.63, "val_loss": 0.4299216866493225, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4210134595632553, "train_acc": 0.89, "val_loss": 0.34286725521087646, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.3157709538936615, "train_acc": 0.905, "val_loss": 0.32253989577293396, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.2818796932697296, "train_acc": 0.895, "val_loss": 0.31093668937683105, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.28094348311424255, "train_acc": 0.895, "val_loss": 0.33231839537620544, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.1979268342256546, "train_acc": 0.935, "val_loss": 0.3159070909023285, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.21298450231552124, "train_acc": 0.915, "val_loss": 0.3712562918663025, "val_acc": 0.9}], "summary": {"total_epochs": 10, "degraded_epochs": 3, "improved_epochs": 7, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7099659442901611, "final_val_loss": 0.5941563844680786, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.4299216866493225, "final_val_loss": 0.3712562918663025, "initial_val_acc": 0.88, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 7}, "improvement": 0.4, "first_improvement_epoch": 2}}
|
9,776
|
{"target_pattern": "sorted_descending", "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": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4706, "learning_rate": 0.04548171802787589, "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.10.bias": [
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}
## Activation Signature
### 0
mean: [0.921726, -1.511225, 0.410009, -1.166288, 0.649888, 3.256677, -0.683088, 1.926157]
std: [1.527963, 1.225539, 1.290569, 1.329399, 1.128021, 2.511291, 1.542416, 1.330971]
pca: [[0.514120, 0.108267, -0.073960, 0.488039, 0.396023, 0.551019, -0.083695, -0.113338, 0.000000, 0.000000], [-0.254966, -0.254372, -0.391297, -0.125458, 0.320497, 0.228615, -0.216537, 0.706797, 0.000000, 0.000000], [-0.386888, 0.036305, 0.259202, 0.708577, -0.384967, 0.038469, -0.288374, 0.216549, 0.000000, 0.000000], [-0.364187, -0.294063, -0.002599, 0.327552, 0.639134, -0.397108, 0.118416, -0.305596, 0.000000, 0.000000], [-0.250506, 0.071808, -0.465968, 0.209928, -0.224185, 0.239699, 0.749797, -0.031393, 0.000000, 0.000000], [-0.352955, 0.850052, -0.173239, -0.101183, 0.232849, 0.006170, -0.215573, -0.108888, 0.000000, 0.000000], [-0.326855, -0.011108, 0.676532, -0.234959, 0.211428, 0.504699, 0.281547, 0.038068, 0.000000, 0.000000], [0.306910, 0.328502, 0.263422, 0.164902, 0.185948, -0.415601, 0.401235, 0.577078, 0.000000, 0.000000]]
fourier: [[22.822730, 24.193606, 25.002350, 29.647882, 82.955306], [18.792945, 19.209302, 21.737382, 22.617898, 136.010244], [18.993016, 19.750828, 20.511653, 21.601482, 36.900805], [22.444081, 23.413963, 24.436153, 27.623311, 104.965891], [17.872129, 18.631074, 19.657098, 21.536216, 58.489882], [38.406373, 39.447142, 41.347220, 44.296561, 293.100924], [22.852525, 23.827760, 24.338632, 34.161063, 61.477883], [20.594038, 23.208556, 23.556350, 24.318922, 173.354159]]
### 2
mean: [0.204973, 0.296231, 3.291728, -5.163411, -1.502196, -0.094944, 2.096764, -1.346595]
std: [1.315845, 1.498546, 2.696956, 2.838320, 1.097868, 0.863374, 1.503363, 1.231374]
pca: [[-0.186715, 0.428667, -0.128722, -0.370969, 0.022032, -0.328329, 0.547790, 0.467798, 0.000000, 0.000000], [-0.179008, 0.529143, -0.478084, 0.298636, 0.457910, 0.332471, -0.222579, 0.021362, 0.000000, 0.000000], [0.607596, -0.175765, -0.487185, 0.278550, -0.138561, 0.168546, 0.484914, 0.047402, 0.000000, 0.000000], [-0.594956, -0.468408, -0.128333, 0.505176, -0.058912, -0.069158, 0.128508, 0.360808, 0.000000, 0.000000], [-0.247054, -0.058013, -0.303301, -0.442731, -0.540415, 0.574961, -0.125519, 0.095980, 0.000000, 0.000000], [-0.180756, 0.131177, 0.505357, 0.135897, 0.095772, 0.554875, 0.559262, -0.215485, 0.000000, 0.000000], [0.339477, 0.083328, 0.381059, 0.132815, -0.007396, 0.267515, -0.257948, 0.759480, 0.000000, 0.000000], [0.031547, -0.508367, -0.092004, -0.456385, 0.682560, 0.196066, 0.060524, 0.125790, 0.000000, 0.000000]]
fourier: [[19.593313, 20.276090, 21.666522, 23.097724, 23.633670], [23.629184, 24.305684, 26.162483, 26.660802, 27.044454], [40.175574, 40.251743, 40.329177, 50.422132, 296.255500], [44.856264, 45.429110, 46.378517, 46.463488, 464.706938], [16.827556, 17.975048, 18.494086, 19.371743, 135.197652], [12.164059, 12.263149, 13.322586, 13.971838, 15.444192], [23.299812, 24.322617, 24.843352, 27.371649, 188.708761], [18.917699, 19.527056, 19.655805, 21.545670, 121.193554]]
### 4
mean: [0.515745, 3.078759, -2.390560, -1.017173, -2.312392, 0.157060, -0.978305, 1.221968]
std: [0.861462, 3.178125, 1.352183, 0.892839, 1.245696, 1.315968, 0.533084, 1.411955]
pca: [[0.201430, 0.160966, -0.071809, 0.426609, -0.177536, 0.278798, -0.062904, 0.795713, 0.000000, 0.000000], [0.770820, 0.131896, 0.081521, 0.039635, -0.242845, -0.485524, 0.275526, -0.097988, 0.000000, 0.000000], [-0.273049, 0.521387, 0.435142, -0.509506, -0.122237, -0.268581, -0.000230, 0.342895, 0.000000, 0.000000], [-0.210766, -0.121456, 0.643714, 0.621235, 0.210312, -0.307340, -0.003446, -0.042714, 0.000000, 0.000000], [-0.227874, 0.571598, -0.055416, 0.333887, -0.376579, 0.282653, 0.357315, -0.396761, 0.000000, 0.000000], [-0.276000, -0.463518, -0.038082, -0.091949, -0.219291, -0.086679, 0.761831, 0.251162, 0.000000, 0.000000], [-0.030787, 0.358316, -0.357324, 0.087412, 0.745811, -0.202650, 0.351156, 0.121363, 0.000000, 0.000000], [0.342394, -0.011604, 0.502275, -0.208156, 0.322800, 0.625676, 0.297903, -0.051051, 0.000000, 0.000000]]
fourier: [[14.604429, 14.796371, 15.178860, 15.436496, 46.417002], [50.162343, 51.905123, 52.415123, 58.371419, 277.088299], [20.747148, 21.362129, 21.975466, 22.288391, 215.150393], [14.060011, 14.225076, 15.364235, 16.104736, 91.545539], [19.452194, 19.454898, 19.702515, 21.116018, 208.115247], [19.489885, 20.899530, 24.250568, 24.283688, 24.311751], [7.915580, 8.372407, 9.648779, 10.911032, 88.047408], [21.906184, 22.040874, 22.844126, 26.666013, 109.977078]]
### 6
mean: [2.406917, 1.882336, -0.945590, -1.581444, -0.041084, -0.407728, 3.325555, -0.360142]
std: [2.272692, 1.969846, 1.656191, 1.565843, 0.202083, 0.548285, 3.158693, 0.502452]
pca: [[0.454983, 0.610181, -0.037255, -0.194944, 0.042946, -0.413919, 0.377723, -0.255794, 0.000000, 0.000000], [0.395069, -0.438244, 0.447746, 0.452257, 0.093041, -0.223047, -0.038189, -0.432416, 0.000000, 0.000000], [-0.333721, 0.081402, 0.363653, 0.265709, 0.459911, 0.012211, 0.611590, 0.305694, 0.000000, 0.000000], [-0.311846, 0.545868, 0.194210, 0.569607, -0.410158, -0.049137, -0.255542, -0.081638, 0.000000, 0.000000], [-0.037030, -0.032242, 0.658895, -0.456198, -0.238763, -0.361406, -0.201058, 0.356769, 0.000000, 0.000000], [-0.106875, 0.304476, 0.280007, -0.238807, 0.595351, 0.298091, -0.438812, -0.352963, 0.000000, 0.000000], [0.636643, 0.188672, 0.166827, 0.168765, -0.032600, 0.529010, -0.069166, 0.465916, 0.000000, 0.000000], [-0.100919, -0.040997, 0.296307, -0.262258, -0.444114, 0.526340, 0.422799, -0.422526, 0.000000, 0.000000]]
fourier: [[36.794657, 36.863334, 40.950326, 41.374233, 216.622502], [28.509233, 31.950520, 33.253901, 36.579520, 169.410192], [25.081264, 27.165055, 29.222551, 30.504440, 85.103119], [22.461456, 25.270634, 26.510315, 29.035081, 142.329988], [3.235240, 3.306568, 3.510658, 3.688306, 3.697526], [7.627910, 8.558409, 8.898945, 9.999349, 36.695568], [48.394065, 51.448579, 56.005232, 58.016023, 299.299970], [8.183658, 8.270215, 9.147158, 9.267303, 32.412768]]
### 8
mean: [5.587075, -0.369655, -0.179855, -0.995526, -2.548615, -3.260707, 3.777698, -1.888198]
std: [5.001821, 0.468286, 0.230794, 0.902846, 2.481899, 3.324903, 3.511059, 2.046285]
pca: [[0.646938, -0.018877, 0.358998, 0.311437, -0.131332, -0.334247, 0.463810, 0.105605, 0.000000, 0.000000], [-0.057222, 0.663234, -0.129697, 0.241511, -0.436293, 0.146415, 0.140863, -0.500066, 0.000000, 0.000000], [-0.028347, 0.305694, -0.010921, -0.275170, 0.579080, 0.315667, 0.627001, 0.042433, 0.000000, 0.000000], [-0.115499, 0.574258, -0.179952, 0.189577, 0.207079, -0.461526, -0.200628, 0.540765, 0.000000, 0.000000], [-0.320997, -0.108245, -0.037875, 0.122365, -0.511546, 0.339204, 0.351911, 0.606841, 0.000000, 0.000000], [-0.429950, -0.268478, -0.022848, 0.739778, 0.331733, -0.087632, 0.187403, -0.205969, 0.000000, 0.000000], [0.454116, 0.071916, -0.098472, 0.413005, 0.200672, 0.639951, -0.354750, 0.180784, 0.000000, 0.000000], [-0.264453, 0.218116, 0.900080, 0.014259, 0.046791, 0.148032, -0.216443, 0.034537, 0.000000, 0.000000]]
fourier: [[75.892042, 81.608290, 89.253326, 92.282990, 502.836757], [7.726531, 7.981039, 8.194919, 8.519048, 33.268931], [3.664391, 3.851729, 4.035060, 4.048654, 16.186946], [14.590765, 14.703876, 16.130826, 16.522300, 89.597346], [37.588204, 40.512066, 44.449858, 45.744207, 229.375370], [50.637165, 54.164875, 60.141541, 61.193344, 293.463595], [52.814011, 57.197612, 62.476744, 64.858829, 339.992819], [30.711519, 33.237501, 36.270375, 37.695303, 169.937799]]
### 10
mean: [-5.182450]
std: [4.755079]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[72.086827, 77.151793, 85.419071, 87.900978, 466.420514]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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0.41488,
0.134773,
0.082772,
0.067244,
-0.107424,
-0.092832
],
[
-0.696054,
-0.264697,
0.467439,
-0.176085,
-0.229809,
-0.218682,
-0.424836,
0.0278
],
[
0.475669,
0.445048,
-0.59413,
-0.154395,
-0.089069,
-0.392991,
0.481059,
-0.205419
],
[
-0.290514,
-0.39116,
0.675587,
-0.024721,
-0.410873,
-0.184368,
-0.176243,
0.230918
]
],
"network.8.bias": [
0.429465,
8.1e-05,
-0.038886,
-0.078391,
0.038505,
0.340874,
0.163326,
0.058965
],
"network.10.weight": [
[
-0.607245,
0.365779,
0.416962,
0.261943,
0.344955,
0.385839,
-0.459539,
0.400479
]
],
"network.10.bias": [
-0.001007
]
}
## Activation Signature
### 0
mean: [0.921726, -1.511225, 0.410009, -1.166288, 0.649888, 3.256677, -0.683088, 1.926157]
std: [1.527963, 1.225539, 1.290569, 1.329399, 1.128021, 2.511291, 1.542416, 1.330971]
pca: [[0.514120, 0.108267, -0.073960, 0.488039, 0.396023, 0.551019, -0.083695, -0.113338, 0.000000, 0.000000], [-0.254966, -0.254372, -0.391297, -0.125458, 0.320497, 0.228615, -0.216537, 0.706797, 0.000000, 0.000000], [-0.386888, 0.036305, 0.259202, 0.708577, -0.384967, 0.038469, -0.288374, 0.216549, 0.000000, 0.000000], [-0.364187, -0.294063, -0.002599, 0.327552, 0.639134, -0.397108, 0.118416, -0.305596, 0.000000, 0.000000], [-0.250506, 0.071808, -0.465968, 0.209928, -0.224185, 0.239699, 0.749797, -0.031393, 0.000000, 0.000000], [-0.352955, 0.850052, -0.173239, -0.101183, 0.232849, 0.006170, -0.215573, -0.108888, 0.000000, 0.000000], [-0.326855, -0.011108, 0.676532, -0.234959, 0.211428, 0.504699, 0.281547, 0.038068, 0.000000, 0.000000], [0.306910, 0.328502, 0.263422, 0.164902, 0.185948, -0.415601, 0.401235, 0.577078, 0.000000, 0.000000]]
fourier: [[22.822730, 24.193606, 25.002350, 29.647882, 82.955306], [18.792945, 19.209302, 21.737382, 22.617898, 136.010244], [18.993016, 19.750828, 20.511653, 21.601482, 36.900805], [22.444081, 23.413963, 24.436153, 27.623311, 104.965891], [17.872129, 18.631074, 19.657098, 21.536216, 58.489882], [38.406373, 39.447142, 41.347220, 44.296561, 293.100924], [22.852525, 23.827760, 24.338632, 34.161063, 61.477883], [20.594038, 23.208556, 23.556350, 24.318922, 173.354159]]
### 2
mean: [0.204973, 0.296231, 3.291728, -5.163411, -1.502196, -0.094944, 2.096764, -1.346595]
std: [1.315845, 1.498546, 2.696956, 2.838320, 1.097868, 0.863374, 1.503363, 1.231374]
pca: [[-0.186715, 0.428667, -0.128722, -0.370969, 0.022032, -0.328329, 0.547790, 0.467798, 0.000000, 0.000000], [-0.179008, 0.529143, -0.478084, 0.298636, 0.457910, 0.332471, -0.222579, 0.021362, 0.000000, 0.000000], [0.607596, -0.175765, -0.487185, 0.278550, -0.138561, 0.168546, 0.484914, 0.047402, 0.000000, 0.000000], [-0.594956, -0.468408, -0.128333, 0.505176, -0.058912, -0.069158, 0.128508, 0.360808, 0.000000, 0.000000], [-0.247054, -0.058013, -0.303301, -0.442731, -0.540415, 0.574961, -0.125519, 0.095980, 0.000000, 0.000000], [-0.180756, 0.131177, 0.505357, 0.135897, 0.095772, 0.554875, 0.559262, -0.215485, 0.000000, 0.000000], [0.339477, 0.083328, 0.381059, 0.132815, -0.007396, 0.267515, -0.257948, 0.759480, 0.000000, 0.000000], [0.031547, -0.508367, -0.092004, -0.456385, 0.682560, 0.196066, 0.060524, 0.125790, 0.000000, 0.000000]]
fourier: [[19.593313, 20.276090, 21.666522, 23.097724, 23.633670], [23.629184, 24.305684, 26.162483, 26.660802, 27.044454], [40.175574, 40.251743, 40.329177, 50.422132, 296.255500], [44.856264, 45.429110, 46.378517, 46.463488, 464.706938], [16.827556, 17.975048, 18.494086, 19.371743, 135.197652], [12.164059, 12.263149, 13.322586, 13.971838, 15.444192], [23.299812, 24.322617, 24.843352, 27.371649, 188.708761], [18.917699, 19.527056, 19.655805, 21.545670, 121.193554]]
### 4
mean: [0.515745, 3.078759, -2.390560, -1.017173, -2.312392, 0.157060, -0.978305, 1.221968]
std: [0.861462, 3.178125, 1.352183, 0.892839, 1.245696, 1.315968, 0.533084, 1.411955]
pca: [[0.201430, 0.160966, -0.071809, 0.426609, -0.177536, 0.278798, -0.062904, 0.795713, 0.000000, 0.000000], [0.770820, 0.131896, 0.081521, 0.039635, -0.242845, -0.485524, 0.275526, -0.097988, 0.000000, 0.000000], [-0.273049, 0.521387, 0.435142, -0.509506, -0.122237, -0.268581, -0.000230, 0.342895, 0.000000, 0.000000], [-0.210766, -0.121456, 0.643714, 0.621235, 0.210312, -0.307340, -0.003446, -0.042714, 0.000000, 0.000000], [-0.227874, 0.571598, -0.055416, 0.333887, -0.376579, 0.282653, 0.357315, -0.396761, 0.000000, 0.000000], [-0.276000, -0.463518, -0.038082, -0.091949, -0.219291, -0.086679, 0.761831, 0.251162, 0.000000, 0.000000], [-0.030787, 0.358316, -0.357324, 0.087412, 0.745811, -0.202650, 0.351156, 0.121363, 0.000000, 0.000000], [0.342394, -0.011604, 0.502275, -0.208156, 0.322800, 0.625676, 0.297903, -0.051051, 0.000000, 0.000000]]
fourier: [[14.604429, 14.796371, 15.178860, 15.436496, 46.417002], [50.162343, 51.905123, 52.415123, 58.371419, 277.088299], [20.747148, 21.362129, 21.975466, 22.288391, 215.150393], [14.060011, 14.225076, 15.364235, 16.104736, 91.545539], [19.452194, 19.454898, 19.702515, 21.116018, 208.115247], [19.489885, 20.899530, 24.250568, 24.283688, 24.311751], [7.915580, 8.372407, 9.648779, 10.911032, 88.047408], [21.906184, 22.040874, 22.844126, 26.666013, 109.977078]]
### 6
mean: [2.406917, 1.882336, -0.945590, -1.581444, -0.041084, -0.407728, 3.325555, -0.360142]
std: [2.272692, 1.969846, 1.656191, 1.565843, 0.202083, 0.548285, 3.158693, 0.502452]
pca: [[0.454983, 0.610181, -0.037255, -0.194944, 0.042946, -0.413919, 0.377723, -0.255794, 0.000000, 0.000000], [0.395069, -0.438244, 0.447746, 0.452257, 0.093041, -0.223047, -0.038189, -0.432416, 0.000000, 0.000000], [-0.333721, 0.081402, 0.363653, 0.265709, 0.459911, 0.012211, 0.611590, 0.305694, 0.000000, 0.000000], [-0.311846, 0.545868, 0.194210, 0.569607, -0.410158, -0.049137, -0.255542, -0.081638, 0.000000, 0.000000], [-0.037030, -0.032242, 0.658895, -0.456198, -0.238763, -0.361406, -0.201058, 0.356769, 0.000000, 0.000000], [-0.106875, 0.304476, 0.280007, -0.238807, 0.595351, 0.298091, -0.438812, -0.352963, 0.000000, 0.000000], [0.636643, 0.188672, 0.166827, 0.168765, -0.032600, 0.529010, -0.069166, 0.465916, 0.000000, 0.000000], [-0.100919, -0.040997, 0.296307, -0.262258, -0.444114, 0.526340, 0.422799, -0.422526, 0.000000, 0.000000]]
fourier: [[36.794657, 36.863334, 40.950326, 41.374233, 216.622502], [28.509233, 31.950520, 33.253901, 36.579520, 169.410192], [25.081264, 27.165055, 29.222551, 30.504440, 85.103119], [22.461456, 25.270634, 26.510315, 29.035081, 142.329988], [3.235240, 3.306568, 3.510658, 3.688306, 3.697526], [7.627910, 8.558409, 8.898945, 9.999349, 36.695568], [48.394065, 51.448579, 56.005232, 58.016023, 299.299970], [8.183658, 8.270215, 9.147158, 9.267303, 32.412768]]
### 8
mean: [5.587075, -0.369655, -0.179855, -0.995526, -2.548615, -3.260707, 3.777698, -1.888198]
std: [5.001821, 0.468286, 0.230794, 0.902846, 2.481899, 3.324903, 3.511059, 2.046285]
pca: [[0.646938, -0.018877, 0.358998, 0.311437, -0.131332, -0.334247, 0.463810, 0.105605, 0.000000, 0.000000], [-0.057222, 0.663234, -0.129697, 0.241511, -0.436293, 0.146415, 0.140863, -0.500066, 0.000000, 0.000000], [-0.028347, 0.305694, -0.010921, -0.275170, 0.579080, 0.315667, 0.627001, 0.042433, 0.000000, 0.000000], [-0.115499, 0.574258, -0.179952, 0.189577, 0.207079, -0.461526, -0.200628, 0.540765, 0.000000, 0.000000], [-0.320997, -0.108245, -0.037875, 0.122365, -0.511546, 0.339204, 0.351911, 0.606841, 0.000000, 0.000000], [-0.429950, -0.268478, -0.022848, 0.739778, 0.331733, -0.087632, 0.187403, -0.205969, 0.000000, 0.000000], [0.454116, 0.071916, -0.098472, 0.413005, 0.200672, 0.639951, -0.354750, 0.180784, 0.000000, 0.000000], [-0.264453, 0.218116, 0.900080, 0.014259, 0.046791, 0.148032, -0.216443, 0.034537, 0.000000, 0.000000]]
fourier: [[75.892042, 81.608290, 89.253326, 92.282990, 502.836757], [7.726531, 7.981039, 8.194919, 8.519048, 33.268931], [3.664391, 3.851729, 4.035060, 4.048654, 16.186946], [14.590765, 14.703876, 16.130826, 16.522300, 89.597346], [37.588204, 40.512066, 44.449858, 45.744207, 229.375370], [50.637165, 54.164875, 60.141541, 61.193344, 293.463595], [52.814011, 57.197612, 62.476744, 64.858829, 339.992819], [30.711519, 33.237501, 36.270375, 37.695303, 169.937799]]
### 10
mean: [-5.182450]
std: [4.755079]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[72.086827, 77.151793, 85.419071, 87.900978, 466.420514]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 0.9217255711555481, "std": 1.527962565422058, "pca": [0.5141198039054871, 0.10826706886291504, -0.07395970821380615, 0.4880386292934418, 0.3960234522819519, 0.5510194897651672, -0.08369476348161697, -0.11333787441253662, 0.0, 0.0], "fourier": [22.822730199397824, 24.193605927139686, 25.00234994972325, 29.64788169975004, 82.95530577003956]}, "1": {"mean": -1.5112248659133911, "std": 1.225538969039917, "pca": [-0.2549664378166199, -0.2543720006942749, -0.3912970721721649, -0.12545844912528992, 0.32049742341041565, 0.22861458361148834, -0.21653734147548676, 0.7067970633506775, 0.0, 0.0], "fourier": [18.79294467218693, 19.209302277881726, 21.737382332998664, 22.6178983843141, 136.01024428009987]}, "2": {"mean": 0.41000896692276, "std": 1.2905685901641846, "pca": [-0.3868882954120636, 0.036305468529462814, 0.25920191407203674, 0.7085773348808289, -0.38496655225753784, 0.0384690947830677, -0.2883737087249756, 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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6952511370182037, "train_acc": 0.425, "val_loss": 0.6979527473449707, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6874285042285919, "train_acc": 0.585, "val_loss": 0.6986468434333801, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6674894988536835, "train_acc": 0.585, "val_loss": 0.6728551983833313, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6206886172294617, "train_acc": 0.585, "val_loss": 0.5774023532867432, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5351090431213379, "train_acc": 0.61, "val_loss": 0.33513563871383667, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.31403669714927673, "train_acc": 0.87, "val_loss": 0.3429834246635437, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.38185974955558777, "train_acc": 0.89, "val_loss": 0.2518409788608551, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.2706794962286949, "train_acc": 0.895, "val_loss": 0.27842286229133606, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.27317114174366, "train_acc": 0.92, "val_loss": 0.22910921275615692, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.2360464632511139, "train_acc": 0.92, "val_loss": 0.1801328808069229, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.22905316203832626, "train_acc": 0.93, "val_loss": 0.14696522057056427, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.2286992371082306, "train_acc": 0.93, "val_loss": 0.1327408403158188, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.24304840713739395, "train_acc": 0.92, "val_loss": 0.12066026031970978, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.2225438803434372, "train_acc": 0.93, "val_loss": 0.11940135806798935, "val_acc": 0.96}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6979527473449707, "final_val_loss": 0.5774023532867432, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.33513563871383667, "final_val_loss": 0.11940135806798935, "initial_val_acc": 0.88, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 8}, "improvement": 0.49999999999999994, "first_improvement_epoch": 3}}
|
9,777
|
{"target_pattern": "contains_abc", "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": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5535, "learning_rate": 0.07282565356173201, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.406857,
0.37668,
0.091029,
-0.002424,
-0.022772
],
[
0.221394,
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0.561433,
0.012225
],
[
-0.034332,
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0.256394,
0.107076
],
[
1.204957,
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],
[
0.992355,
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0.658124,
-0.206199,
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],
[
0.833162,
1.084493,
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-0.010194
],
[
0.938798,
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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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"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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],
"network.6.bias": [
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],
"network.8.weight": [
[
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],
"network.8.bias": [
0.091267
]
}
## Activation Signature
### 0
mean: [1.005767, 0.517403, -2.505593, 0.983013, 2.120832, 1.106295, 1.980692]
std: [1.307348, 1.196228, 2.013842, 2.496077, 2.842843, 2.904191, 2.033091]
pca: [[0.266295, 0.018205, -0.101649, -0.208591, -0.002810, -0.389111, 0.850587, 0.000000, 0.000000, 0.000000], [0.053267, 0.197459, 0.340167, -0.594841, 0.553735, 0.421105, 0.068344, 0.000000, 0.000000, 0.000000], [-0.287573, 0.279523, 0.631781, 0.378638, -0.299112, 0.262812, 0.371642, 0.000000, 0.000000, 0.000000], [0.486516, 0.064610, 0.194308, 0.603371, 0.577219, -0.147694, -0.048168, 0.000000, 0.000000, 0.000000], [0.546708, -0.474803, -0.036939, 0.053639, -0.284092, 0.612080, 0.126807, 0.000000, 0.000000, 0.000000], [0.456238, 0.782402, -0.184051, -0.073668, -0.327221, 0.077159, -0.165425, 0.000000, 0.000000, 0.000000], [0.315930, -0.201940, 0.633887, -0.294833, -0.287989, -0.446972, -0.296560, 0.000000, 0.000000, 0.000000]]
fourier: [[21.114831, 21.350169, 22.574820, 23.069465, 90.519016], [16.337939, 16.487098, 19.775986, 23.115882, 46.566293], [31.839738, 32.964812, 33.678293, 42.278858, 225.503370], [43.700481, 43.713574, 44.803041, 48.160412, 88.471136], [48.709446, 49.871996, 50.050209, 57.652919, 190.874909], [43.422031, 46.237194, 59.043076, 59.625218, 99.566577], [29.634972, 41.226235, 41.326083, 45.546544, 178.262243]]
### 2
mean: [4.443275, 0.217569, 4.201761, 3.587132, 1.609887, 5.175271, -4.754724]
std: [5.953638, 0.986906, 5.283571, 4.743505, 3.146181, 6.109408, 6.476388]
pca: [[-0.451952, 0.022769, -0.396736, 0.015304, 0.671674, -0.251924, -0.350678, 0.000000, 0.000000, 0.000000], [-0.068169, -0.079781, -0.564126, -0.167204, -0.037067, -0.188887, 0.778293, 0.000000, 0.000000, 0.000000], [-0.401031, 0.100878, -0.162542, 0.487704, -0.615516, -0.398743, -0.163911, 0.000000, 0.000000, 0.000000], [-0.359960, -0.097620, -0.271480, 0.237455, -0.077239, 0.851236, 0.015614, 0.000000, 0.000000, 0.000000], [-0.214608, 0.923043, 0.069747, -0.274344, -0.039524, 0.108605, 0.091913, 0.000000, 0.000000, 0.000000], [-0.462930, -0.094816, 0.629650, 0.291445, 0.272940, -0.070876, 0.464529, 0.000000, 0.000000, 0.000000], [0.490240, 0.335278, -0.151387, 0.719280, 0.294271, 0.020941, 0.141202, 0.000000, 0.000000, 0.000000]]
fourier: [[95.162497, 99.126559, 105.862226, 113.964677, 399.894713], [15.475845, 16.925990, 17.649289, 18.138168, 19.581176], [84.831486, 86.989142, 93.863942, 102.314751, 378.158524], [75.541023, 80.216769, 84.518377, 90.182446, 322.841800], [49.616215, 51.862103, 56.607625, 58.269663, 144.889789], [100.618329, 105.879263, 110.283907, 118.078081, 465.774379], [104.188260, 111.855787, 117.219164, 123.252251, 427.925129]]
### 4
mean: [5.269394, -6.071308, 8.608981, -4.210022, 9.484848, 4.400020, 4.537025]
std: [7.206991, 8.936239, 11.208438, 6.108464, 12.396486, 6.085170, 5.877951]
pca: [[0.315919, -0.449359, 0.421794, -0.310926, 0.556496, 0.240884, 0.236589, 0.000000, 0.000000, 0.000000], [-0.391939, -0.335227, 0.063879, 0.764258, 0.169440, 0.340768, 0.031654, 0.000000, 0.000000, 0.000000], [0.491726, 0.129070, -0.161204, 0.079199, -0.393758, 0.725342, 0.167694, 0.000000, 0.000000, 0.000000], [-0.267866, -0.341809, -0.078434, -0.151865, -0.407936, -0.157611, 0.768731, 0.000000, 0.000000, 0.000000], [0.543694, -0.485249, -0.484816, 0.276635, 0.025605, -0.386238, -0.086728, 0.000000, 0.000000, 0.000000], [0.266634, 0.552285, 0.089553, 0.389997, 0.322557, -0.252399, 0.544080, 0.000000, 0.000000, 0.000000], [0.257557, -0.108268, 0.736753, 0.247537, -0.485229, -0.249007, -0.142867, 0.000000, 0.000000, 0.000000]]
fourier: [[119.434064, 119.853322, 129.953883, 139.157553, 474.245466], [145.002919, 146.546501, 159.556879, 171.015355, 546.417741], [181.827625, 182.995460, 200.454011, 215.721778, 774.808255], [98.843658, 100.105673, 108.933332, 118.371970, 378.902040], [202.138907, 205.079931, 223.082780, 239.052019, 853.636358], [97.893440, 100.048557, 108.043074, 117.780474, 396.001798], [94.215824, 98.531586, 104.708503, 113.113210, 408.332245]]
### 6
mean: [-0.385179, 12.779921, 11.830305, 8.607449, -8.837589, -2.158366, -1.680417]
std: [0.981503, 17.106522, 16.410574, 12.130484, 12.699051, 3.949423, 3.166558]
pca: [[-0.032005, 0.310981, -0.367625, 0.543486, 0.278924, 0.624477, -0.063016, 0.000000, 0.000000, 0.000000], [0.571304, 0.000607, 0.017935, 0.525372, -0.500634, -0.158933, 0.348396, 0.000000, 0.000000, 0.000000], [0.547992, 0.452660, 0.438158, -0.358159, -0.003390, 0.350959, -0.226626, 0.000000, 0.000000, 0.000000], [0.405072, -0.337217, -0.087667, -0.185885, 0.616180, 0.078368, 0.542350, 0.000000, 0.000000, 0.000000], [-0.424097, -0.060372, 0.599703, 0.083342, -0.147031, 0.406281, 0.513054, 0.000000, 0.000000, 0.000000], [-0.131456, 0.534986, -0.458084, -0.417015, -0.249682, -0.017906, 0.500106, 0.000000, 0.000000, 0.000000], [-0.105214, 0.542972, 0.308833, 0.291426, 0.455981, -0.538581, 0.125761, 0.000000, 0.000000, 0.000000]]
fourier: [[16.928732, 17.909299, 19.253563, 19.946329, 34.666098], [279.676616, 280.018286, 307.939166, 329.168218, 1150.192881], [265.031919, 269.993379, 294.171177, 315.316134, 1064.727384], [196.438729, 199.634444, 219.558122, 234.801649, 774.670422], [207.995400, 208.743622, 228.568775, 244.569939, 795.383059], [66.679617, 68.298387, 72.501601, 77.077355, 194.252951], [53.568924, 56.042499, 58.183692, 62.796037, 151.237554]]
### 8
mean: [-16.234880]
std: [22.894201]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[369.553944, 375.849740, 413.749532, 443.457584, 1461.139316]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.406857,
0.37668,
0.091029,
-0.002424,
-0.022772
],
[
0.221394,
-0.06549,
-0.145842,
0.561433,
0.012225
],
[
-0.034332,
-0.748832,
-0.633826,
0.256394,
0.107076
],
[
1.204957,
0.092562,
-0.075517,
-0.054584,
-0.504389
],
[
0.992355,
0.19132,
0.658124,
-0.206199,
-0.106088
],
[
0.833162,
1.084493,
-0.835109,
-0.072616,
-0.010194
],
[
0.938798,
-0.411297,
0.192695,
0.40494,
0.113933
]
],
"network.0.bias": [
-0.343804,
-0.553164,
-0.45622,
0.211722,
-0.26445,
0.006028,
0.150477
],
"network.2.weight": [
[
0.060664,
0.323319,
0.130441,
0.752346,
0.568023,
1.254082,
0.158963
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[
-0.000826,
0.045386,
-0.042781,
0.138832,
-0.086237,
0.347998,
0.043809
],
[
0.119976,
0.24335,
0.56963,
0.466093,
0.650462,
1.116909,
0.135588
],
[
0.338964,
0.407981,
0.500041,
0.620538,
0.367691,
0.885208,
0.124222
],
[
-0.185632,
-0.940898,
0.05734,
0.13656,
0.713018,
0.717496,
-0.130798
],
[
0.238437,
0.47632,
0.619492,
0.730147,
0.705582,
0.936374,
0.341049
],
[
-0.400814,
-0.165658,
-0.923786,
-0.915864,
-0.18684,
-1.153779,
-0.738679
]
],
"network.2.bias": [
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-0.435478,
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-0.198859,
0.018468,
0.551863
],
"network.4.weight": [
[
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0.484899,
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],
[
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0.160814,
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0.45935
],
[
0.346977,
0.311796,
0.649814,
0.509926,
0.421186,
0.313956,
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],
[
-0.471112,
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-0.121122,
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0.031101,
0.811459
],
[
0.960309,
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0.157705,
0.160554,
0.412138,
0.702553,
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],
[
0.640178,
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0.500783,
0.280837,
0.151108,
-0.324956,
-1.048055
],
[
0.4007,
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0.627171,
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0.399143,
-0.065332,
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]
],
"network.4.bias": [
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0.578646,
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0.321682,
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-0.045256,
-0.031666
],
"network.6.weight": [
[
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0.68468,
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0.176385,
0.072485,
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0.150443
],
[
-0.04073,
-0.369106,
0.383542,
-0.800743,
0.7927,
0.069866,
0.476788
],
[
0.48822,
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0.504212,
-0.288478,
0.215572,
0.606005,
0.150135
],
[
0.719302,
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0.066604,
-0.919467,
0.421644,
0.326719,
-0.187373
],
[
-0.399568,
0.336404,
-0.251633,
0.587564,
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-0.041809,
-0.399323
],
[
-0.097932,
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0.024616,
0.349258,
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],
[
-0.242455,
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0.479763,
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-0.007887
]
],
"network.6.bias": [
0.126719,
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-0.237674,
0.70844,
0.654885,
0.41589
],
"network.8.weight": [
[
0.094621,
-0.55063,
-0.460681,
-0.470661,
0.592206,
0.644854,
0.84469
]
],
"network.8.bias": [
0.091267
]
}
## Activation Signature
### 0
mean: [1.005767, 0.517403, -2.505593, 0.983013, 2.120832, 1.106295, 1.980692]
std: [1.307348, 1.196228, 2.013842, 2.496077, 2.842843, 2.904191, 2.033091]
pca: [[0.266295, 0.018205, -0.101649, -0.208591, -0.002810, -0.389111, 0.850587, 0.000000, 0.000000, 0.000000], [0.053267, 0.197459, 0.340167, -0.594841, 0.553735, 0.421105, 0.068344, 0.000000, 0.000000, 0.000000], [-0.287573, 0.279523, 0.631781, 0.378638, -0.299112, 0.262812, 0.371642, 0.000000, 0.000000, 0.000000], [0.486516, 0.064610, 0.194308, 0.603371, 0.577219, -0.147694, -0.048168, 0.000000, 0.000000, 0.000000], [0.546708, -0.474803, -0.036939, 0.053639, -0.284092, 0.612080, 0.126807, 0.000000, 0.000000, 0.000000], [0.456238, 0.782402, -0.184051, -0.073668, -0.327221, 0.077159, -0.165425, 0.000000, 0.000000, 0.000000], [0.315930, -0.201940, 0.633887, -0.294833, -0.287989, -0.446972, -0.296560, 0.000000, 0.000000, 0.000000]]
fourier: [[21.114831, 21.350169, 22.574820, 23.069465, 90.519016], [16.337939, 16.487098, 19.775986, 23.115882, 46.566293], [31.839738, 32.964812, 33.678293, 42.278858, 225.503370], [43.700481, 43.713574, 44.803041, 48.160412, 88.471136], [48.709446, 49.871996, 50.050209, 57.652919, 190.874909], [43.422031, 46.237194, 59.043076, 59.625218, 99.566577], [29.634972, 41.226235, 41.326083, 45.546544, 178.262243]]
### 2
mean: [4.443275, 0.217569, 4.201761, 3.587132, 1.609887, 5.175271, -4.754724]
std: [5.953638, 0.986906, 5.283571, 4.743505, 3.146181, 6.109408, 6.476388]
pca: [[-0.451952, 0.022769, -0.396736, 0.015304, 0.671674, -0.251924, -0.350678, 0.000000, 0.000000, 0.000000], [-0.068169, -0.079781, -0.564126, -0.167204, -0.037067, -0.188887, 0.778293, 0.000000, 0.000000, 0.000000], [-0.401031, 0.100878, -0.162542, 0.487704, -0.615516, -0.398743, -0.163911, 0.000000, 0.000000, 0.000000], [-0.359960, -0.097620, -0.271480, 0.237455, -0.077239, 0.851236, 0.015614, 0.000000, 0.000000, 0.000000], [-0.214608, 0.923043, 0.069747, -0.274344, -0.039524, 0.108605, 0.091913, 0.000000, 0.000000, 0.000000], [-0.462930, -0.094816, 0.629650, 0.291445, 0.272940, -0.070876, 0.464529, 0.000000, 0.000000, 0.000000], [0.490240, 0.335278, -0.151387, 0.719280, 0.294271, 0.020941, 0.141202, 0.000000, 0.000000, 0.000000]]
fourier: [[95.162497, 99.126559, 105.862226, 113.964677, 399.894713], [15.475845, 16.925990, 17.649289, 18.138168, 19.581176], [84.831486, 86.989142, 93.863942, 102.314751, 378.158524], [75.541023, 80.216769, 84.518377, 90.182446, 322.841800], [49.616215, 51.862103, 56.607625, 58.269663, 144.889789], [100.618329, 105.879263, 110.283907, 118.078081, 465.774379], [104.188260, 111.855787, 117.219164, 123.252251, 427.925129]]
### 4
mean: [5.269394, -6.071308, 8.608981, -4.210022, 9.484848, 4.400020, 4.537025]
std: [7.206991, 8.936239, 11.208438, 6.108464, 12.396486, 6.085170, 5.877951]
pca: [[0.315919, -0.449359, 0.421794, -0.310926, 0.556496, 0.240884, 0.236589, 0.000000, 0.000000, 0.000000], [-0.391939, -0.335227, 0.063879, 0.764258, 0.169440, 0.340768, 0.031654, 0.000000, 0.000000, 0.000000], [0.491726, 0.129070, -0.161204, 0.079199, -0.393758, 0.725342, 0.167694, 0.000000, 0.000000, 0.000000], [-0.267866, -0.341809, -0.078434, -0.151865, -0.407936, -0.157611, 0.768731, 0.000000, 0.000000, 0.000000], [0.543694, -0.485249, -0.484816, 0.276635, 0.025605, -0.386238, -0.086728, 0.000000, 0.000000, 0.000000], [0.266634, 0.552285, 0.089553, 0.389997, 0.322557, -0.252399, 0.544080, 0.000000, 0.000000, 0.000000], [0.257557, -0.108268, 0.736753, 0.247537, -0.485229, -0.249007, -0.142867, 0.000000, 0.000000, 0.000000]]
fourier: [[119.434064, 119.853322, 129.953883, 139.157553, 474.245466], [145.002919, 146.546501, 159.556879, 171.015355, 546.417741], [181.827625, 182.995460, 200.454011, 215.721778, 774.808255], [98.843658, 100.105673, 108.933332, 118.371970, 378.902040], [202.138907, 205.079931, 223.082780, 239.052019, 853.636358], [97.893440, 100.048557, 108.043074, 117.780474, 396.001798], [94.215824, 98.531586, 104.708503, 113.113210, 408.332245]]
### 6
mean: [-0.385179, 12.779921, 11.830305, 8.607449, -8.837589, -2.158366, -1.680417]
std: [0.981503, 17.106522, 16.410574, 12.130484, 12.699051, 3.949423, 3.166558]
pca: [[-0.032005, 0.310981, -0.367625, 0.543486, 0.278924, 0.624477, -0.063016, 0.000000, 0.000000, 0.000000], [0.571304, 0.000607, 0.017935, 0.525372, -0.500634, -0.158933, 0.348396, 0.000000, 0.000000, 0.000000], [0.547992, 0.452660, 0.438158, -0.358159, -0.003390, 0.350959, -0.226626, 0.000000, 0.000000, 0.000000], [0.405072, -0.337217, -0.087667, -0.185885, 0.616180, 0.078368, 0.542350, 0.000000, 0.000000, 0.000000], [-0.424097, -0.060372, 0.599703, 0.083342, -0.147031, 0.406281, 0.513054, 0.000000, 0.000000, 0.000000], [-0.131456, 0.534986, -0.458084, -0.417015, -0.249682, -0.017906, 0.500106, 0.000000, 0.000000, 0.000000], [-0.105214, 0.542972, 0.308833, 0.291426, 0.455981, -0.538581, 0.125761, 0.000000, 0.000000, 0.000000]]
fourier: [[16.928732, 17.909299, 19.253563, 19.946329, 34.666098], [279.676616, 280.018286, 307.939166, 329.168218, 1150.192881], [265.031919, 269.993379, 294.171177, 315.316134, 1064.727384], [196.438729, 199.634444, 219.558122, 234.801649, 774.670422], [207.995400, 208.743622, 228.568775, 244.569939, 795.383059], [66.679617, 68.298387, 72.501601, 77.077355, 194.252951], [53.568924, 56.042499, 58.183692, 62.796037, 151.237554]]
### 8
mean: [-16.234880]
std: [22.894201]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[369.553944, 375.849740, 413.749532, 443.457584, 1461.139316]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 1.005766749382019, "std": 1.3073482513427734, "pca": [0.26629456877708435, 0.018204817548394203, -0.1016494408249855, -0.2085912972688675, -0.0028102744836360216, -0.3891106843948364, 0.8505867719650269, 0.0, 0.0, 0.0], "fourier": [21.114831342080542, 21.350168762760163, 22.574820100840572, 23.069464886476784, 90.5190158188343]}, "1": {"mean": 0.5174033045768738, "std": 1.19622802734375, "pca": [0.053266774863004684, 0.19745880365371704, 0.3401672840118408, -0.5948412418365479, 0.5537350177764893, 0.4211050868034363, 0.0683438777923584, 0.0, 0.0, 0.0], "fourier": [16.337939352646636, 16.48709823289092, 19.775985511213356, 23.115881780499194, 46.56629294157028]}, "2": {"mean": -2.5055932998657227, "std": 2.0138421058654785, "pca": [-0.2875725030899048, 0.2795230746269226, 0.6317806243896484, 0.3786379396915436, -0.29911187291145325, 0.2628118693828583, 0.3716415464878082, 0.0, 0.0, 0.0], "fourier": [31.839737871638462, 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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.406857, 0.37668, 0.091029, -0.002424, -0.022772], [0.221394, -0.06549, -0.145842, 0.561433, 0.012225], [-0.034332, -0.748832, -0.633826, 0.256394, 0.107076], [1.204957, 0.092562, -0.075517, -0.054584, -0.504389], [0.992355, 0.19132, 0.658124, -0.206199, -0.106088], [0.833162, 1.084493, -0.835109, -0.072616, -0.010194], [0.938798, -0.411297, 0.192695, 0.40494, 0.113933]], "network.0.bias": [-0.343804, -0.553164, -0.45622, 0.211722, -0.26445, 0.006028, 0.150477], "network.2.weight": [[0.060664, 0.323319, 0.130441, 0.752346, 0.568023, 1.254082, 0.158963], [-0.000826, 0.045386, -0.042781, 0.138832, -0.086237, 0.347998, 0.043809], [0.119976, 0.24335, 0.56963, 0.466093, 0.650462, 1.116909, 0.135588], [0.338964, 0.407981, 0.500041, 0.620538, 0.367691, 0.885208, 0.124222], [-0.185632, -0.940898, 0.05734, 0.13656, 0.713018, 0.717496, -0.130798], [0.238437, 0.47632, 0.619492, 0.730147, 0.705582, 0.936374, 0.341049], [-0.400814, -0.165658, -0.923786, -0.915864, -0.18684, -1.153779, -0.738679]], "network.2.bias": [-0.326002, -0.435478, -0.117162, -0.240812, -0.198859, 0.018468, 0.551863], "network.4.weight": [[0.312544, 0.188985, -0.022118, 0.148169, 0.617201, 0.484899, -0.441552], [-0.940301, -0.108381, 0.160814, -0.497308, -0.426157, -0.100335, 0.45935], [0.346977, 0.311796, 0.649814, 0.509926, 0.421186, 0.313956, -0.532796], [-0.471112, -0.223816, -0.400024, -0.121122, -0.22684, 0.031101, 0.811459], [0.960309, -0.407997, 0.157705, 0.160554, 0.412138, 0.702553, -0.883711], [0.640178, -0.208833, 0.500783, 0.280837, 0.151108, -0.324956, -1.048055], [0.4007, -0.466182, 0.627171, -0.02785, 0.399143, -0.065332, -0.041771]], "network.4.bias": [-0.312466, 0.578646, -0.000824, 0.321682, -0.249897, -0.045256, -0.031666], "network.6.weight": [[-0.149555, 0.68468, -0.068545, 0.176385, 0.072485, -0.13459, 0.150443], [-0.04073, -0.369106, 0.383542, -0.800743, 0.7927, 0.069866, 0.476788], [0.48822, -0.423618, 0.504212, -0.288478, 0.215572, 0.606005, 0.150135], [0.719302, -0.846355, 0.066604, -0.919467, 0.421644, 0.326719, -0.187373], [-0.399568, 0.336404, -0.251633, 0.587564, -0.351619, -0.041809, -0.399323], [-0.097932, 0.807411, 0.024616, 0.349258, -0.4309, -0.057536, 0.385147], [-0.242455, 0.748849, 0.479763, 0.670755, -0.430205, -0.21459, -0.007887]], "network.6.bias": [0.126719, -0.232997, -0.455704, -0.237674, 0.70844, 0.654885, 0.41589], "network.8.weight": [[0.094621, -0.55063, -0.460681, -0.470661, 0.592206, 0.644854, 0.84469]], "network.8.bias": [0.091267]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6728150546550751, "train_acc": 0.59, "val_loss": 0.7367823719978333, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6266774237155914, "train_acc": 0.59, "val_loss": 0.572567343711853, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.49583175778388977, "train_acc": 0.645, "val_loss": 0.27186319231987, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.31644806265830994, "train_acc": 0.87, "val_loss": 0.1784926801919937, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.38464001566171646, "train_acc": 0.885, "val_loss": 0.26410961151123047, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.23277836292982101, "train_acc": 0.915, "val_loss": 0.14727683365345, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.17444811016321182, "train_acc": 0.945, "val_loss": 0.12898361682891846, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.19949298352003098, "train_acc": 0.94, "val_loss": 0.10596767067909241, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.15398859977722168, "train_acc": 0.94, "val_loss": 0.07910004258155823, "val_acc": 1.0}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.1346464417874813, "train_acc": 0.96, "val_loss": 0.10929811745882034, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.1202397309243679, "train_acc": 0.95, "val_loss": 0.0311952605843544, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.09276054427027702, "train_acc": 0.975, "val_loss": 0.04116746783256531, "val_acc": 0.98}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7367823719978333, "final_val_loss": 0.572567343711853, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.27186319231987, "final_val_loss": 0.04116746783256531, "initial_val_acc": 0.94, "final_val_acc": 0.98, "best_val_acc": 1.0, "best_epoch": 8}, "improvement": 0.54, "first_improvement_epoch": 1}}
|
9,778
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.72, "improved_accuracy": 0.96, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1959, "learning_rate": 0.09363162109757651, "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: 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.2.bias": [
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0.056736
],
"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.weight": [
[
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],
[
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],
[
-0.621583,
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[
-0.057903,
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],
[
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],
[
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],
"network.6.bias": [
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0.030649,
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],
"network.8.weight": [
[
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0.034696,
0.598329,
-0.258016,
-0.686071
]
],
"network.8.bias": [
-0.329615
]
}
## Activation Signature
### 0
mean: [4.670997, 4.416146, 4.716735, -3.179189, -2.817117, -1.949172]
std: [4.282433, 4.690177, 4.361192, 4.046483, 2.702081, 3.721240]
pca: [[0.440187, 0.324107, -0.149014, -0.404907, 0.575040, -0.429376, 0.000000, 0.000000, 0.000000, 0.000000], [0.484691, 0.027037, -0.169685, 0.840999, 0.039996, -0.163315, 0.000000, 0.000000, 0.000000, 0.000000], [0.446496, 0.279097, 0.604629, -0.033005, 0.076261, 0.591831, 0.000000, 0.000000, 0.000000, 0.000000], [-0.415689, 0.264074, -0.347327, 0.225780, 0.596487, 0.479644, 0.000000, 0.000000, 0.000000, 0.000000], [-0.261815, -0.403209, 0.614207, 0.206259, 0.512299, -0.294332, 0.000000, 0.000000, 0.000000, 0.000000], [-0.361395, 0.764209, 0.292470, 0.184831, -0.208966, -0.349299, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[67.284681, 73.847167, 77.210645, 77.293971, 420.389679], [74.304661, 75.426540, 81.448784, 83.114860, 397.453147], [67.478401, 68.873619, 80.064971, 84.637626, 424.506239], [64.843846, 65.460808, 65.558807, 71.111431, 286.127023], [43.275024, 45.450334, 49.717314, 50.445081, 253.540526], [57.013755, 59.113456, 63.006254, 70.606739, 175.425530]]
### 2
mean: [-7.167121, -4.550722, -8.874975, -4.021740, -0.310291, 7.012681]
std: [7.653477, 5.495759, 9.572585, 3.206026, 1.203550, 7.105724]
pca: [[0.493780, -0.068026, -0.194069, 0.792710, -0.257023, -0.139434, 0.000000, 0.000000, 0.000000, 0.000000], [0.354045, -0.165090, 0.627641, 0.113128, 0.655552, -0.104488, 0.000000, 0.000000, 0.000000, 0.000000], [0.617692, -0.037269, -0.300588, -0.314841, 0.102086, 0.645886, 0.000000, 0.000000, 0.000000, 0.000000], [0.191069, 0.794179, -0.291316, -0.078615, 0.331402, -0.363180, 0.000000, 0.000000, 0.000000, 0.000000], [-0.050786, 0.579446, 0.544472, 0.200174, -0.305768, 0.481300, 0.000000, 0.000000, 0.000000, 0.000000], [-0.458480, 0.015826, -0.311024, 0.461995, 0.538932, 0.434653, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[121.584631, 123.302694, 134.660461, 139.156226, 645.040876], [87.177071, 93.283834, 94.507353, 97.373901, 409.564970], [152.823023, 153.914406, 168.237415, 174.183637, 798.747697], [51.743438, 53.160218, 55.950599, 62.215200, 361.956636], [17.799372, 20.347755, 21.116834, 22.176205, 27.926163], [114.929164, 115.982704, 125.131490, 128.124018, 631.141250]]
### 4
mean: [3.159043, 0.497635, -0.429066, 6.311003, -5.647528, 2.746622]
std: [3.335240, 0.486418, 1.478354, 6.713157, 3.616679, 1.989807]
pca: [[0.384456, 0.352715, 0.239623, 0.676836, 0.251801, 0.385818, 0.000000, 0.000000, 0.000000, 0.000000], [0.052938, 0.064127, 0.577305, -0.621007, 0.224249, 0.473146, 0.000000, 0.000000, 0.000000, 0.000000], [-0.157767, -0.380658, 0.258872, 0.148626, 0.756836, -0.410249, 0.000000, 0.000000, 0.000000, 0.000000], [0.784222, 0.213290, -0.193049, -0.328814, 0.184475, -0.400106, 0.000000, 0.000000, 0.000000, 0.000000], [-0.396677, 0.794082, 0.214648, -0.047253, 0.033970, -0.403262, 0.000000, 0.000000, 0.000000, 0.000000], [0.228348, -0.224768, 0.677453, 0.154276, -0.527564, -0.369146, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[52.010972, 54.942775, 54.991736, 63.974356, 284.313894], [7.510843, 8.749637, 8.812581, 8.812850, 44.787191], [23.145321, 24.933050, 26.242292, 30.600082, 38.615900], [108.540401, 109.570343, 117.865218, 123.179885, 567.990340], [55.407898, 58.402465, 59.191145, 65.677312, 508.277543], [30.883575, 31.445541, 33.157164, 34.668440, 247.196017]]
### 6
mean: [3.552412, -3.629557, -1.497306, -0.335148, 1.892344, 6.540688]
std: [3.804393, 4.475260, 0.970338, 1.389609, 2.064806, 7.142564]
pca: [[0.394258, 0.608646, -0.027254, -0.140983, -0.594813, -0.315735, 0.000000, 0.000000, 0.000000, 0.000000], [-0.465688, 0.083644, 0.828489, -0.144005, -0.097411, -0.243963, 0.000000, 0.000000, 0.000000, 0.000000], [-0.100071, 0.163494, -0.080860, 0.763604, 0.225298, -0.568214, 0.000000, 0.000000, 0.000000, 0.000000], [-0.137495, 0.718927, -0.068577, -0.234093, 0.613225, 0.169388, 0.000000, 0.000000, 0.000000, 0.000000], [0.214344, 0.217391, 0.374319, 0.555023, -0.136307, 0.663365, 0.000000, 0.000000, 0.000000, 0.000000], [0.743527, -0.178068, 0.401880, -0.115955, 0.437407, -0.221767, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[59.954649, 61.668489, 66.746543, 67.780586, 319.717118], [72.814459, 73.602897, 78.278770, 83.091352, 326.660097], [15.703295, 16.080155, 16.614984, 18.058247, 134.757552], [22.054916, 22.932534, 24.625999, 28.079607, 30.163331], [32.448936, 32.615912, 36.900612, 37.115249, 170.310969], [114.029770, 114.653305, 125.629550, 132.301115, 588.661975]]
### 8
mean: [-5.276827]
std: [5.573776]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[88.924972, 89.064408, 98.077870, 103.156170, 474.914444]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.519723,
0.927467,
0.25284,
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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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0.051237,
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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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],
[
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0.108444
],
[
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0.63625,
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-0.762911,
-0.125901
],
[
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0.910844
],
[
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0.879045,
-0.574133
],
[
0.178395,
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]
],
"network.4.bias": [
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0.337138,
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0.240171
],
"network.6.weight": [
[
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[
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[
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[
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[
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-0.025867,
0.390546,
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],
[
0.85232,
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]
],
"network.6.bias": [
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0.293113,
-0.503303,
0.305193,
0.030649,
0.120314
],
"network.8.weight": [
[
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0.448378,
0.034696,
0.598329,
-0.258016,
-0.686071
]
],
"network.8.bias": [
-0.329615
]
}
## Activation Signature
### 0
mean: [4.670997, 4.416146, 4.716735, -3.179189, -2.817117, -1.949172]
std: [4.282433, 4.690177, 4.361192, 4.046483, 2.702081, 3.721240]
pca: [[0.440187, 0.324107, -0.149014, -0.404907, 0.575040, -0.429376, 0.000000, 0.000000, 0.000000, 0.000000], [0.484691, 0.027037, -0.169685, 0.840999, 0.039996, -0.163315, 0.000000, 0.000000, 0.000000, 0.000000], [0.446496, 0.279097, 0.604629, -0.033005, 0.076261, 0.591831, 0.000000, 0.000000, 0.000000, 0.000000], [-0.415689, 0.264074, -0.347327, 0.225780, 0.596487, 0.479644, 0.000000, 0.000000, 0.000000, 0.000000], [-0.261815, -0.403209, 0.614207, 0.206259, 0.512299, -0.294332, 0.000000, 0.000000, 0.000000, 0.000000], [-0.361395, 0.764209, 0.292470, 0.184831, -0.208966, -0.349299, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[67.284681, 73.847167, 77.210645, 77.293971, 420.389679], [74.304661, 75.426540, 81.448784, 83.114860, 397.453147], [67.478401, 68.873619, 80.064971, 84.637626, 424.506239], [64.843846, 65.460808, 65.558807, 71.111431, 286.127023], [43.275024, 45.450334, 49.717314, 50.445081, 253.540526], [57.013755, 59.113456, 63.006254, 70.606739, 175.425530]]
### 2
mean: [-7.167121, -4.550722, -8.874975, -4.021740, -0.310291, 7.012681]
std: [7.653477, 5.495759, 9.572585, 3.206026, 1.203550, 7.105724]
pca: [[0.493780, -0.068026, -0.194069, 0.792710, -0.257023, -0.139434, 0.000000, 0.000000, 0.000000, 0.000000], [0.354045, -0.165090, 0.627641, 0.113128, 0.655552, -0.104488, 0.000000, 0.000000, 0.000000, 0.000000], [0.617692, -0.037269, -0.300588, -0.314841, 0.102086, 0.645886, 0.000000, 0.000000, 0.000000, 0.000000], [0.191069, 0.794179, -0.291316, -0.078615, 0.331402, -0.363180, 0.000000, 0.000000, 0.000000, 0.000000], [-0.050786, 0.579446, 0.544472, 0.200174, -0.305768, 0.481300, 0.000000, 0.000000, 0.000000, 0.000000], [-0.458480, 0.015826, -0.311024, 0.461995, 0.538932, 0.434653, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[121.584631, 123.302694, 134.660461, 139.156226, 645.040876], [87.177071, 93.283834, 94.507353, 97.373901, 409.564970], [152.823023, 153.914406, 168.237415, 174.183637, 798.747697], [51.743438, 53.160218, 55.950599, 62.215200, 361.956636], [17.799372, 20.347755, 21.116834, 22.176205, 27.926163], [114.929164, 115.982704, 125.131490, 128.124018, 631.141250]]
### 4
mean: [3.159043, 0.497635, -0.429066, 6.311003, -5.647528, 2.746622]
std: [3.335240, 0.486418, 1.478354, 6.713157, 3.616679, 1.989807]
pca: [[0.384456, 0.352715, 0.239623, 0.676836, 0.251801, 0.385818, 0.000000, 0.000000, 0.000000, 0.000000], [0.052938, 0.064127, 0.577305, -0.621007, 0.224249, 0.473146, 0.000000, 0.000000, 0.000000, 0.000000], [-0.157767, -0.380658, 0.258872, 0.148626, 0.756836, -0.410249, 0.000000, 0.000000, 0.000000, 0.000000], [0.784222, 0.213290, -0.193049, -0.328814, 0.184475, -0.400106, 0.000000, 0.000000, 0.000000, 0.000000], [-0.396677, 0.794082, 0.214648, -0.047253, 0.033970, -0.403262, 0.000000, 0.000000, 0.000000, 0.000000], [0.228348, -0.224768, 0.677453, 0.154276, -0.527564, -0.369146, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[52.010972, 54.942775, 54.991736, 63.974356, 284.313894], [7.510843, 8.749637, 8.812581, 8.812850, 44.787191], [23.145321, 24.933050, 26.242292, 30.600082, 38.615900], [108.540401, 109.570343, 117.865218, 123.179885, 567.990340], [55.407898, 58.402465, 59.191145, 65.677312, 508.277543], [30.883575, 31.445541, 33.157164, 34.668440, 247.196017]]
### 6
mean: [3.552412, -3.629557, -1.497306, -0.335148, 1.892344, 6.540688]
std: [3.804393, 4.475260, 0.970338, 1.389609, 2.064806, 7.142564]
pca: [[0.394258, 0.608646, -0.027254, -0.140983, -0.594813, -0.315735, 0.000000, 0.000000, 0.000000, 0.000000], [-0.465688, 0.083644, 0.828489, -0.144005, -0.097411, -0.243963, 0.000000, 0.000000, 0.000000, 0.000000], [-0.100071, 0.163494, -0.080860, 0.763604, 0.225298, -0.568214, 0.000000, 0.000000, 0.000000, 0.000000], [-0.137495, 0.718927, -0.068577, -0.234093, 0.613225, 0.169388, 0.000000, 0.000000, 0.000000, 0.000000], [0.214344, 0.217391, 0.374319, 0.555023, -0.136307, 0.663365, 0.000000, 0.000000, 0.000000, 0.000000], [0.743527, -0.178068, 0.401880, -0.115955, 0.437407, -0.221767, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[59.954649, 61.668489, 66.746543, 67.780586, 319.717118], [72.814459, 73.602897, 78.278770, 83.091352, 326.660097], [15.703295, 16.080155, 16.614984, 18.058247, 134.757552], [22.054916, 22.932534, 24.625999, 28.079607, 30.163331], [32.448936, 32.615912, 36.900612, 37.115249, 170.310969], [114.029770, 114.653305, 125.629550, 132.301115, 588.661975]]
### 8
mean: [-5.276827]
std: [5.573776]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[88.924972, 89.064408, 98.077870, 103.156170, 474.914444]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 4.67099666595459, "std": 4.282433032989502, "pca": [0.44018739461898804, 0.3241073191165924, -0.14901389181613922, -0.4049067497253418, 0.5750401616096497, -0.42937591671943665, 0.0, 0.0, 0.0, 0.0], "fourier": [67.28468081320963, 73.84716673914953, 77.21064467439487, 77.29397108554265, 420.3896790537983]}, "1": {"mean": 4.4161458015441895, "std": 4.6901774406433105, "pca": [0.4846910834312439, 0.02703702077269554, -0.16968482732772827, 0.8409988880157471, 0.03999605029821396, -0.16331513226032257, 0.0, 0.0, 0.0, 0.0], "fourier": [74.304661220897, 75.42654040931261, 81.44878366327472, 83.11486036825099, 397.45314678549767]}, "2": {"mean": 4.716735363006592, "std": 4.361192226409912, "pca": [0.44649624824523926, 0.2790966033935547, 0.6046293377876282, -0.033005241304636, 0.07626079767942429, 0.5918314456939697, 0.0, 0.0, 0.0, 0.0], "fourier": [67.47840068308433, 68.87361880336216, 80.06497095218124, 84.63762617935616, 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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": [[1.519723, 0.927467, 0.25284, 0.373136, -0.207362], [1.347243, 1.463869, 0.369499, -0.069213, -0.049965], [1.269996, 1.37445, 0.06346, 0.348733, -0.243156], [-1.264862, -1.327272, 0.022251, 0.088697, 0.412558], [-1.076236, -0.412748, -0.024387, -0.154838, -0.229292], [-1.176194, -0.970512, -0.324942, 0.416835, 0.625971]], "network.0.bias": [0.017156, -0.489714, 0.051237, 0.06794, -0.059906, 0.295882], "network.2.weight": [[-0.235277, -0.804962, -0.630059, 0.139954, -1.802562, 0.378618], [-0.275516, -0.727129, -0.167371, 0.079551, -2.09143, 0.437628], [-0.517483, -0.904187, -0.687708, 0.594362, -1.876055, 0.280889], [-0.464215, -0.011777, -0.287831, -0.496931, -0.211755, -0.74412], [-0.227439, 0.148431, 0.18136, -1.049933, 0.599053, -0.431608], [0.492633, 0.7342, 0.338771, -0.062258, 0.893777, -0.339465]], "network.2.bias": [0.200219, 0.452517, 0.513523, -0.139094, -0.474086, 0.056736], "network.4.weight": [[-0.035026, -1.040489, -0.30249, 0.170384, 0.479426, 0.412114], [-0.375124, 0.122569, -0.003952, -0.53567, -0.965771, 0.108444], [0.515114, 0.303228, 0.63625, -0.85122, -0.762911, -0.125901], [0.013183, -0.29455, -0.725668, 0.928134, 0.263528, 0.910844], [-0.870118, -0.846893, -0.968416, 0.950188, 0.879045, -0.574133], [0.178395, -0.01762, 0.569531, -1.829464, -1.137893, 0.349861]], "network.4.bias": [0.404614, -0.177118, 0.337138, 0.045067, -1.346129, 0.240171], "network.6.weight": [[0.561294, 0.004371, 0.018841, 0.311297, -0.16052, -0.003634], [0.086923, -0.492418, 0.632204, -0.705899, -0.32738, 0.146189], [-0.621583, 0.026816, 0.268186, 0.20745, 0.043193, -0.138963], [-0.057903, -0.052965, 0.583975, -0.270685, -0.616028, 0.438203], [0.038238, -0.46117, -0.025867, 0.390546, -0.444427, -0.219079], [0.85232, -0.774816, -0.9841, 0.750134, 0.195249, -0.242557]], "network.6.bias": [-0.281028, 0.293113, -0.503303, 0.305193, 0.030649, 0.120314], "network.8.weight": [[-0.009843, 0.448378, 0.034696, 0.598329, -0.258016, -0.686071]], "network.8.bias": [-0.329615]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6830697059631348, "train_acc": 0.6, "val_loss": 0.6568598747253418, "val_acc": 0.66}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6289786100387573, "train_acc": 0.675, "val_loss": 0.5664466619491577, "val_acc": 0.72}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5659270882606506, "train_acc": 0.775, "val_loss": 0.3860892951488495, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.45377616584300995, "train_acc": 0.825, "val_loss": 0.3258114159107208, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.31343355774879456, "train_acc": 0.86, "val_loss": 0.28691521286964417, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2775685340166092, "train_acc": 0.885, "val_loss": 0.2742893695831299, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2705006077885628, "train_acc": 0.91, "val_loss": 0.2199428528547287, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.1957428902387619, "train_acc": 0.94, "val_loss": 0.20236697793006897, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.17894990742206573, "train_acc": 0.935, "val_loss": 0.17996177077293396, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.1742371767759323, "train_acc": 0.94, "val_loss": 0.16928674280643463, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.17797957360744476, "train_acc": 0.93, "val_loss": 0.15922468900680542, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.15111734718084335, "train_acc": 0.94, "val_loss": 0.13613848388195038, "val_acc": 0.96}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6568598747253418, "final_val_loss": 0.5664466619491577, "initial_val_acc": 0.66, "final_val_acc": 0.72, "best_val_acc": 0.72}, "improved_stage": {"initial_val_loss": 0.3860892951488495, "final_val_loss": 0.13613848388195038, "initial_val_acc": 0.88, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 11}, "improvement": 0.24, "first_improvement_epoch": 1}}
|
9,779
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.9, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9664, "learning_rate": 0.030307380736895602, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: 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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],
"network.2.bias": [
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"network.4.weight": [
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[
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"network.6.weight": [
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],
[
0.542099,
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0.166859,
-0.223785,
0.31635,
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],
[
-0.382932,
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],
[
-0.183464,
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0.418912,
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],
[
0.61844,
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0.584303,
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0.341154
]
],
"network.6.bias": [
-0.213837,
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0.087584,
-0.154816,
0.117847,
-0.056652
],
"network.8.weight": [
[
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0.242871,
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],
[
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],
[
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],
[
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],
[
0.499917,
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0.421564
],
[
0.346812,
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]
],
"network.8.bias": [
0.386989,
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],
"network.10.weight": [
[
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],
[
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],
[
0.5358,
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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: [-1.722890, 1.940447, 0.670506, -2.164506, 2.261561, 1.465822]
std: [1.104855, 1.569795, 1.640546, 1.762390, 2.254110, 1.445184]
pca: [[-0.180085, -0.265333, 0.667679, 0.444649, 0.442374, -0.240761, 0.000000, 0.000000, 0.000000, 0.000000], [0.413982, 0.338040, 0.004385, 0.568518, 0.126549, 0.612455, 0.000000, 0.000000, 0.000000, 0.000000], [0.112975, 0.632020, 0.116759, 0.275631, -0.358956, -0.607727, 0.000000, 0.000000, 0.000000, 0.000000], [-0.504560, 0.308070, 0.528067, -0.216292, -0.359516, 0.442294, 0.000000, 0.000000, 0.000000, 0.000000], [0.697271, -0.292434, 0.483792, -0.265512, -0.351724, 0.005770, 0.000000, 0.000000, 0.000000, 0.000000], [0.206536, 0.485235, 0.166264, -0.534625, 0.637557, -0.044083, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.419755, 17.959369, 19.393980, 19.707200, 155.060082], [26.671391, 26.683831, 27.132366, 27.519621, 174.640203], [25.496505, 26.093886, 26.352704, 28.475736, 60.345509], [26.681333, 32.371250, 36.575744, 39.084557, 194.805570], [39.831503, 42.617575, 42.929787, 48.938722, 203.540475], [23.824677, 23.973186, 23.999945, 27.351637, 131.923947]]
### 2
mean: [-2.719897, 1.058169, 1.086771, 1.167944, -2.493379, 1.443796]
std: [1.955929, 1.143579, 1.388754, 1.194629, 1.525718, 1.340021]
pca: [[0.686204, 0.078145, -0.577272, 0.370111, 0.109037, 0.202244, 0.000000, 0.000000, 0.000000, 0.000000], [-0.171541, 0.485416, 0.100745, 0.681833, -0.140220, -0.490140, 0.000000, 0.000000, 0.000000, 0.000000], [-0.408345, -0.359304, 0.047044, 0.538844, 0.498630, 0.403680, 0.000000, 0.000000, 0.000000, 0.000000], [-0.160912, 0.518358, 0.080847, 0.027808, -0.392902, 0.737381, 0.000000, 0.000000, 0.000000, 0.000000], [0.527917, 0.123658, 0.776361, 0.063373, 0.298777, 0.099962, 0.000000, 0.000000, 0.000000, 0.000000], [-0.168413, 0.587520, -0.212418, -0.320903, 0.690057, -0.046683, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.444050, 31.973524, 33.113657, 38.598031, 244.790739], [19.820334, 20.232705, 23.466864, 25.831914, 95.235214], [20.667354, 23.954774, 24.203739, 26.002774, 97.809400], [20.082090, 20.359386, 24.770249, 26.831723, 105.114925], [24.870967, 25.147192, 25.496315, 30.887564, 224.404084], [21.953779, 22.871951, 27.982023, 29.786731, 129.941688]]
### 4
mean: [1.491417, 1.135732, 1.397571, 0.176991, 0.078349, 0.771461]
std: [1.756419, 1.324394, 1.807447, 0.699538, 0.261305, 0.969161]
pca: [[0.577144, 0.008574, -0.219371, 0.083756, 0.726682, 0.289181, 0.000000, 0.000000, 0.000000, 0.000000], [0.426570, -0.449491, -0.377543, 0.363749, -0.286933, -0.508737, 0.000000, 0.000000, 0.000000, 0.000000], [0.583126, 0.589442, 0.071998, -0.405869, -0.325120, -0.192110, 0.000000, 0.000000, 0.000000, 0.000000], [-0.191995, 0.660096, -0.314840, 0.653278, -0.010760, -0.037396, 0.000000, 0.000000, 0.000000, 0.000000], [0.084312, 0.053027, 0.746200, 0.308092, 0.316400, -0.488093, 0.000000, 0.000000, 0.000000, 0.000000], [0.317704, -0.109106, 0.384987, 0.417432, -0.428572, 0.617270, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.315709, 28.954460, 35.961709, 39.805285, 134.227508], [22.647474, 22.709623, 24.270441, 29.907755, 102.215886], [28.609641, 29.888280, 39.327795, 39.585333, 125.781382], [10.252131, 11.656053, 13.911132, 13.954255, 15.929177], [4.062933, 4.063265, 5.598790, 5.791776, 7.051432], [15.700416, 15.894826, 19.424351, 21.906847, 69.431481]]
### 6
mean: [2.214803, 1.525202, 1.710639, -1.145581, -0.924877, 2.239557]
std: [3.106007, 2.188078, 2.122055, 0.911107, 1.495654, 3.056109]
pca: [[0.555321, 0.331442, -0.214935, 0.467672, -0.370799, -0.423507, 0.000000, 0.000000, 0.000000, 0.000000], [0.391285, -0.021289, 0.385559, -0.545620, -0.593746, 0.218063, 0.000000, 0.000000, 0.000000, 0.000000], [0.379559, -0.037509, -0.140289, 0.364092, 0.129859, 0.827901, 0.000000, 0.000000, 0.000000, 0.000000], [-0.161919, -0.129779, 0.800732, 0.552704, -0.098641, -0.023556, 0.000000, 0.000000, 0.000000, 0.000000], [-0.263576, 0.926652, 0.149642, -0.062807, 0.025737, 0.211763, 0.000000, 0.000000, 0.000000, 0.000000], [0.546589, 0.112955, 0.349144, -0.203938, 0.694779, -0.205599, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[44.433215, 50.150642, 61.641602, 73.003666, 199.332268], [31.697998, 36.454705, 43.267750, 51.139629, 137.268168], [30.835095, 34.565554, 41.540207, 49.894458, 153.957528], [13.020691, 13.867854, 17.354217, 21.840517, 103.102256], [24.405005, 24.992316, 26.678011, 34.817375, 83.238944], [44.007364, 50.399470, 60.663742, 71.523029, 201.560096]]
### 8
mean: [-3.234427, -2.351676, -0.542331, -1.732014, 4.277928, 3.033132]
std: [4.891200, 3.838476, 1.079623, 1.410484, 5.822306, 4.157615]
pca: [[-0.507245, 0.113902, 0.095749, 0.784275, -0.057078, -0.319713, 0.000000, 0.000000, 0.000000, 0.000000], [-0.398042, -0.286419, 0.760689, -0.152082, 0.185750, 0.351064, 0.000000, 0.000000, 0.000000, 0.000000], [-0.111831, -0.415687, -0.184152, -0.143685, 0.710609, -0.505149, 0.000000, 0.000000, 0.000000, 0.000000], [-0.145863, 0.849825, 0.093602, -0.196730, 0.457223, -0.002005, 0.000000, 0.000000, 0.000000, 0.000000], [0.603802, 0.078953, 0.605845, 0.098048, -0.038160, -0.501071, 0.000000, 0.000000, 0.000000, 0.000000], [0.431169, -0.061302, -0.049625, 0.541130, 0.496755, 0.517963, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[68.269492, 77.043276, 95.705261, 116.683137, 291.098455], [53.648615, 61.310409, 75.378189, 91.339310, 211.650811], [15.234767, 17.743571, 21.042473, 25.482603, 48.809825], [20.138386, 20.777030, 27.414499, 33.994498, 155.881278], [80.723766, 91.983780, 113.580975, 138.813719, 385.013505], [57.959739, 65.575913, 81.338291, 99.160202, 272.981862]]
### 10
mean: [3.195818, -0.536571, -1.359663, 3.528317, -0.893872, 1.415513]
std: [4.563801, 1.713903, 3.082434, 4.797216, 2.199947, 2.065576]
pca: [[0.564672, 0.057876, 0.084777, 0.396487, -0.174438, 0.694966, 0.000000, 0.000000, 0.000000, 0.000000], [-0.211527, 0.471485, 0.609699, -0.497960, -0.027518, 0.335415, 0.000000, 0.000000, 0.000000, 0.000000], [-0.381240, 0.335588, 0.246301, 0.649642, -0.453043, -0.232572, 0.000000, 0.000000, 0.000000, 0.000000], [0.593216, 0.642430, -0.095251, -0.077404, 0.053299, -0.466341, 0.000000, 0.000000, 0.000000, 0.000000], [-0.271967, 0.356665, -0.173425, 0.341424, 0.778936, 0.213159, 0.000000, 0.000000, 0.000000, 0.000000], [0.255316, -0.349008, 0.721988, 0.224137, 0.392409, -0.295835, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[63.374798, 74.222738, 90.360394, 107.821757, 287.623608], [23.985619, 29.356700, 34.356188, 39.726818, 48.291410], [42.973558, 51.313026, 61.219676, 72.394300, 122.369690], [66.268800, 75.998171, 94.872131, 113.910731, 317.548519], [30.928377, 37.076135, 43.571255, 51.531669, 80.448450], [29.055276, 34.924234, 40.716909, 48.511113, 127.396160]]
### 12
mean: [-2.601793]
std: [4.386876]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[60.844633, 74.097653, 89.137873, 101.257492, 234.161360]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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],
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[
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[
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],
[
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]
],
"network.0.bias": [
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0.386486,
-0.054344,
-0.264522,
0.40283,
0.319661
],
"network.2.weight": [
[
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],
[
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0.044039,
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0.505717,
-0.211324
],
[
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[
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[
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],
[
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]
],
"network.2.bias": [
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0.00258,
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-0.647643,
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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.10.weight": [
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[
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[
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[
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]
],
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],
"network.12.weight": [
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]
],
"network.12.bias": [
-0.113888
]
}
## Activation Signature
### 0
mean: [-1.722890, 1.940447, 0.670506, -2.164506, 2.261561, 1.465822]
std: [1.104855, 1.569795, 1.640546, 1.762390, 2.254110, 1.445184]
pca: [[-0.180085, -0.265333, 0.667679, 0.444649, 0.442374, -0.240761, 0.000000, 0.000000, 0.000000, 0.000000], [0.413982, 0.338040, 0.004385, 0.568518, 0.126549, 0.612455, 0.000000, 0.000000, 0.000000, 0.000000], [0.112975, 0.632020, 0.116759, 0.275631, -0.358956, -0.607727, 0.000000, 0.000000, 0.000000, 0.000000], [-0.504560, 0.308070, 0.528067, -0.216292, -0.359516, 0.442294, 0.000000, 0.000000, 0.000000, 0.000000], [0.697271, -0.292434, 0.483792, -0.265512, -0.351724, 0.005770, 0.000000, 0.000000, 0.000000, 0.000000], [0.206536, 0.485235, 0.166264, -0.534625, 0.637557, -0.044083, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.419755, 17.959369, 19.393980, 19.707200, 155.060082], [26.671391, 26.683831, 27.132366, 27.519621, 174.640203], [25.496505, 26.093886, 26.352704, 28.475736, 60.345509], [26.681333, 32.371250, 36.575744, 39.084557, 194.805570], [39.831503, 42.617575, 42.929787, 48.938722, 203.540475], [23.824677, 23.973186, 23.999945, 27.351637, 131.923947]]
### 2
mean: [-2.719897, 1.058169, 1.086771, 1.167944, -2.493379, 1.443796]
std: [1.955929, 1.143579, 1.388754, 1.194629, 1.525718, 1.340021]
pca: [[0.686204, 0.078145, -0.577272, 0.370111, 0.109037, 0.202244, 0.000000, 0.000000, 0.000000, 0.000000], [-0.171541, 0.485416, 0.100745, 0.681833, -0.140220, -0.490140, 0.000000, 0.000000, 0.000000, 0.000000], [-0.408345, -0.359304, 0.047044, 0.538844, 0.498630, 0.403680, 0.000000, 0.000000, 0.000000, 0.000000], [-0.160912, 0.518358, 0.080847, 0.027808, -0.392902, 0.737381, 0.000000, 0.000000, 0.000000, 0.000000], [0.527917, 0.123658, 0.776361, 0.063373, 0.298777, 0.099962, 0.000000, 0.000000, 0.000000, 0.000000], [-0.168413, 0.587520, -0.212418, -0.320903, 0.690057, -0.046683, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.444050, 31.973524, 33.113657, 38.598031, 244.790739], [19.820334, 20.232705, 23.466864, 25.831914, 95.235214], [20.667354, 23.954774, 24.203739, 26.002774, 97.809400], [20.082090, 20.359386, 24.770249, 26.831723, 105.114925], [24.870967, 25.147192, 25.496315, 30.887564, 224.404084], [21.953779, 22.871951, 27.982023, 29.786731, 129.941688]]
### 4
mean: [1.491417, 1.135732, 1.397571, 0.176991, 0.078349, 0.771461]
std: [1.756419, 1.324394, 1.807447, 0.699538, 0.261305, 0.969161]
pca: [[0.577144, 0.008574, -0.219371, 0.083756, 0.726682, 0.289181, 0.000000, 0.000000, 0.000000, 0.000000], [0.426570, -0.449491, -0.377543, 0.363749, -0.286933, -0.508737, 0.000000, 0.000000, 0.000000, 0.000000], [0.583126, 0.589442, 0.071998, -0.405869, -0.325120, -0.192110, 0.000000, 0.000000, 0.000000, 0.000000], [-0.191995, 0.660096, -0.314840, 0.653278, -0.010760, -0.037396, 0.000000, 0.000000, 0.000000, 0.000000], [0.084312, 0.053027, 0.746200, 0.308092, 0.316400, -0.488093, 0.000000, 0.000000, 0.000000, 0.000000], [0.317704, -0.109106, 0.384987, 0.417432, -0.428572, 0.617270, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.315709, 28.954460, 35.961709, 39.805285, 134.227508], [22.647474, 22.709623, 24.270441, 29.907755, 102.215886], [28.609641, 29.888280, 39.327795, 39.585333, 125.781382], [10.252131, 11.656053, 13.911132, 13.954255, 15.929177], [4.062933, 4.063265, 5.598790, 5.791776, 7.051432], [15.700416, 15.894826, 19.424351, 21.906847, 69.431481]]
### 6
mean: [2.214803, 1.525202, 1.710639, -1.145581, -0.924877, 2.239557]
std: [3.106007, 2.188078, 2.122055, 0.911107, 1.495654, 3.056109]
pca: [[0.555321, 0.331442, -0.214935, 0.467672, -0.370799, -0.423507, 0.000000, 0.000000, 0.000000, 0.000000], [0.391285, -0.021289, 0.385559, -0.545620, -0.593746, 0.218063, 0.000000, 0.000000, 0.000000, 0.000000], [0.379559, -0.037509, -0.140289, 0.364092, 0.129859, 0.827901, 0.000000, 0.000000, 0.000000, 0.000000], [-0.161919, -0.129779, 0.800732, 0.552704, -0.098641, -0.023556, 0.000000, 0.000000, 0.000000, 0.000000], [-0.263576, 0.926652, 0.149642, -0.062807, 0.025737, 0.211763, 0.000000, 0.000000, 0.000000, 0.000000], [0.546589, 0.112955, 0.349144, -0.203938, 0.694779, -0.205599, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[44.433215, 50.150642, 61.641602, 73.003666, 199.332268], [31.697998, 36.454705, 43.267750, 51.139629, 137.268168], [30.835095, 34.565554, 41.540207, 49.894458, 153.957528], [13.020691, 13.867854, 17.354217, 21.840517, 103.102256], [24.405005, 24.992316, 26.678011, 34.817375, 83.238944], [44.007364, 50.399470, 60.663742, 71.523029, 201.560096]]
### 8
mean: [-3.234427, -2.351676, -0.542331, -1.732014, 4.277928, 3.033132]
std: [4.891200, 3.838476, 1.079623, 1.410484, 5.822306, 4.157615]
pca: [[-0.507245, 0.113902, 0.095749, 0.784275, -0.057078, -0.319713, 0.000000, 0.000000, 0.000000, 0.000000], [-0.398042, -0.286419, 0.760689, -0.152082, 0.185750, 0.351064, 0.000000, 0.000000, 0.000000, 0.000000], [-0.111831, -0.415687, -0.184152, -0.143685, 0.710609, -0.505149, 0.000000, 0.000000, 0.000000, 0.000000], [-0.145863, 0.849825, 0.093602, -0.196730, 0.457223, -0.002005, 0.000000, 0.000000, 0.000000, 0.000000], [0.603802, 0.078953, 0.605845, 0.098048, -0.038160, -0.501071, 0.000000, 0.000000, 0.000000, 0.000000], [0.431169, -0.061302, -0.049625, 0.541130, 0.496755, 0.517963, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[68.269492, 77.043276, 95.705261, 116.683137, 291.098455], [53.648615, 61.310409, 75.378189, 91.339310, 211.650811], [15.234767, 17.743571, 21.042473, 25.482603, 48.809825], [20.138386, 20.777030, 27.414499, 33.994498, 155.881278], [80.723766, 91.983780, 113.580975, 138.813719, 385.013505], [57.959739, 65.575913, 81.338291, 99.160202, 272.981862]]
### 10
mean: [3.195818, -0.536571, -1.359663, 3.528317, -0.893872, 1.415513]
std: [4.563801, 1.713903, 3.082434, 4.797216, 2.199947, 2.065576]
pca: [[0.564672, 0.057876, 0.084777, 0.396487, -0.174438, 0.694966, 0.000000, 0.000000, 0.000000, 0.000000], [-0.211527, 0.471485, 0.609699, -0.497960, -0.027518, 0.335415, 0.000000, 0.000000, 0.000000, 0.000000], [-0.381240, 0.335588, 0.246301, 0.649642, -0.453043, -0.232572, 0.000000, 0.000000, 0.000000, 0.000000], [0.593216, 0.642430, -0.095251, -0.077404, 0.053299, -0.466341, 0.000000, 0.000000, 0.000000, 0.000000], [-0.271967, 0.356665, -0.173425, 0.341424, 0.778936, 0.213159, 0.000000, 0.000000, 0.000000, 0.000000], [0.255316, -0.349008, 0.721988, 0.224137, 0.392409, -0.295835, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[63.374798, 74.222738, 90.360394, 107.821757, 287.623608], [23.985619, 29.356700, 34.356188, 39.726818, 48.291410], [42.973558, 51.313026, 61.219676, 72.394300, 122.369690], [66.268800, 75.998171, 94.872131, 113.910731, 317.548519], [30.928377, 37.076135, 43.571255, 51.531669, 80.448450], [29.055276, 34.924234, 40.716909, 48.511113, 127.396160]]
### 12
mean: [-2.601793]
std: [4.386876]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[60.844633, 74.097653, 89.137873, 101.257492, 234.161360]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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"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": [[0.036814, -0.263376, -0.397233, -0.201958, 0.133478], [0.571476, 0.33975, 0.106281, 0.067374, -0.115782], [0.335184, 0.340389, 0.222637, 0.031535, -0.685316], [-0.292978, -0.135976, -0.007314, -0.152212, -0.766963], [0.540255, -0.033787, 0.294752, -0.171551, 0.810939], [0.248966, 0.09734, 0.542019, 0.054687, -0.478806]], "network.0.bias": [-0.190534, 0.386486, -0.054344, -0.264522, 0.40283, 0.319661], "network.2.weight": [[0.375002, -0.500268, -0.536421, 0.699406, -0.081852, -0.473973], [-0.087079, 0.044039, 0.100227, 0.24822, 0.505717, -0.211324], [0.340001, 0.187832, 0.534902, -0.418795, -0.198502, 0.451263], [-0.489926, 0.08917, -0.021669, 0.37885, 0.507829, -0.181155], [0.674032, -0.150436, -0.507312, 0.31377, -0.06638, -0.587329], [0.024535, 0.077103, -0.09844, 0.528417, 0.571382, -0.1531]], "network.2.bias": [-0.325528, 0.086155, 0.00258, 0.157135, -0.647643, 0.390458], "network.4.weight": [[-0.324012, 0.34542, -0.34184, 0.347323, -0.412513, 0.598727], [-0.281207, 0.264065, -0.437798, 0.215749, -0.604411, 0.401145], [-0.055564, 0.261995, -0.107161, 0.508572, -0.255417, 0.627975], [-0.264733, -0.102994, 0.430753, -0.279805, -0.00181, 0.048538], [0.161097, 0.112175, -0.056644, -0.286896, 0.521877, 0.334228], [0.054584, 0.240659, -0.253947, -0.092751, -0.003598, 0.514852]], "network.4.bias": [0.288405, 0.523477, -0.173079, 0.018179, -0.064122, 0.222238], "network.6.weight": [[0.612108, 0.396417, 0.459103, -0.20429, 0.230694, 0.683028], [0.287497, 0.609951, 0.567237, -0.437836, -0.210541, -0.164669], [0.542099, 0.291372, 0.166859, -0.223785, 0.31635, 0.430934], [-0.382932, -0.42743, 0.070412, -0.367036, 0.354499, 0.026032], [-0.183464, -0.688334, 0.040829, 0.418912, -0.149094, -0.231674], [0.61844, 0.433269, 0.584303, -0.505787, -0.23412, 0.341154]], "network.6.bias": [-0.213837, -0.112013, 0.087584, -0.154816, 0.117847, -0.056652], "network.8.weight": [[-0.665051, -0.343799, -0.232508, -0.299433, 0.242871, -0.537085], [-0.676057, -0.303932, 0.365418, -0.553225, 0.52847, -0.615343], [-0.133962, -0.267009, -0.162356, 0.127343, 0.295687, 0.085811], [-0.023312, -0.148221, 0.025329, 0.486659, -0.459913, -0.377566], [0.499917, 0.74035, 0.679608, -0.007885, -0.296208, 0.421564], [0.346812, 0.198617, 0.191658, 0.305329, -0.178239, 0.749748]], "network.8.bias": [0.386989, 0.363119, 0.258242, -0.547058, -0.112812, -0.061009], "network.10.weight": [[-0.632654, -0.423882, -0.550395, 0.085856, 0.47656, 0.391964], [0.235336, 0.572452, 0.357421, 0.026418, -0.096106, -0.243497], [0.5358, 0.586686, 0.216953, -0.637013, -0.398716, -0.135997], [-0.102423, -0.433023, -0.524002, 0.534999, 0.472714, 0.463203], [0.732853, 0.253656, 0.079966, -0.225637, -0.137757, -0.302761], [-0.694458, -0.299431, 0.066463, -0.137103, 0.275483, 0.085917]], "network.10.bias": [0.124651, 0.48062, 0.529862, 0.230819, 0.455478, 0.091902], "network.12.weight": [[-0.407133, 0.474839, 0.483845, -0.38124, 0.437741, -0.165146]], "network.12.bias": [-0.113888]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6786893904209137, "train_acc": 0.575, "val_loss": 0.7110012769699097, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6829469799995422, "train_acc": 0.575, "val_loss": 0.7026753425598145, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.656440407037735, "train_acc": 0.575, "val_loss": 0.6482649445533752, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.625964879989624, "train_acc": 0.51, "val_loss": 0.5435993075370789, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5157530307769775, "train_acc": 0.765, "val_loss": 0.434375524520874, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4341164380311966, "train_acc": 0.8, "val_loss": 0.3769160509109497, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.39663882553577423, "train_acc": 0.815, "val_loss": 0.3195675015449524, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3950558751821518, "train_acc": 0.825, "val_loss": 0.2848994731903076, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3428095281124115, "train_acc": 0.86, "val_loss": 0.27319449186325073, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.34598691761493683, "train_acc": 0.875, "val_loss": 0.2778680920600891, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.32909204065799713, "train_acc": 0.875, "val_loss": 0.28292128443717957, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.30506251752376556, "train_acc": 0.875, "val_loss": 0.29146772623062134, "val_acc": 0.9}], "summary": {"total_epochs": 12, "degraded_epochs": 3, "improved_epochs": 9, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.7110012769699097, "final_val_loss": 0.6482649445533752, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5435993075370789, "final_val_loss": 0.29146772623062134, "initial_val_acc": 0.76, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 7}, "improvement": 0.42000000000000004, "first_improvement_epoch": 2}}
|
9,780
|
{"target_pattern": "ends_with", "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": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6881, "learning_rate": 0.07975191015568013, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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-0.022192,
-0.370193,
-0.462827,
0.121977
],
[
-0.205241,
-0.471392,
0.45224,
-0.274658,
-0.230405,
0.171216,
-0.556822,
0.17471
],
[
-0.097067,
-0.564926,
0.457178,
0.266111,
0.198484,
-0.341374,
-0.383763,
0.456047
],
[
0.387779,
0.775855,
-0.783535,
-0.24817,
-0.337185,
0.240976,
0.690422,
-0.357453
],
[
-0.347831,
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0.155595,
0.474245,
-0.212939,
-0.438661,
0.048215,
-0.307294
],
[
-0.217347,
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0.035033,
0.293834,
-0.168261,
-0.010389,
-0.546636,
0.541616
]
],
"network.8.bias": [
0.145595,
0.203473,
-0.060905,
-0.333726,
0.014282,
0.013205,
-0.068545,
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],
"network.10.weight": [
[
-0.257003,
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0.192427,
0.097264,
0.205773,
-0.389573,
0.073365,
0.184232
]
],
"network.10.bias": [
-0.345989
]
}
## Activation Signature
### 0
mean: [-0.029457, 1.398808, 0.321918, 1.309467, 1.048407, 0.451631, 0.686083, 0.556019]
std: [1.767236, 1.530839, 1.052828, 2.037058, 1.480458, 1.320779, 1.186233, 1.178889]
pca: [[0.103032, 0.671373, 0.575134, 0.100185, 0.052940, 0.182204, 0.372378, 0.152186, 0.000000, 0.000000], [-0.320563, -0.251874, 0.368961, 0.761723, -0.293941, -0.066025, -0.162894, 0.012245, 0.000000, 0.000000], [0.334382, -0.134295, -0.050400, -0.048850, -0.388048, 0.365284, -0.185212, 0.739533, 0.000000, 0.000000], [0.678564, -0.072435, 0.280072, 0.162555, 0.396448, -0.296345, -0.427340, -0.042768, 0.000000, 0.000000], [0.245474, -0.438420, 0.482404, -0.357399, -0.385733, 0.158152, 0.217554, -0.407372, 0.000000, 0.000000], [-0.214861, -0.451468, 0.199967, -0.006006, 0.673914, 0.421683, 0.175122, 0.217586, 0.000000, 0.000000], [0.321615, -0.238715, -0.236227, 0.291540, -0.005951, -0.360224, 0.734187, 0.173069, 0.000000, 0.000000], [0.323271, 0.097550, -0.351575, 0.410081, 0.007607, 0.639218, 0.029146, -0.429769, 0.000000, 0.000000]]
fourier: [[28.001251, 29.000663, 29.982365, 31.670339, 39.241915], [23.675859, 23.958243, 24.164639, 27.382184, 125.892689], [15.320459, 16.272411, 17.249238, 19.470634, 28.972574], [32.383390, 33.821339, 35.024971, 38.468423, 117.852066], [23.696233, 23.884394, 24.704399, 27.560299, 94.356660], [18.193657, 18.678232, 24.656319, 25.632521, 40.646819], [17.997026, 18.625842, 18.779265, 22.597270, 61.747463], [19.543371, 19.562219, 20.304045, 22.065494, 50.041717]]
### 2
mean: [1.949726, -0.454961, -1.321759, 1.022647, 0.291016, -1.791924, 0.053694, -0.077042]
std: [2.161314, 0.654646, 0.803976, 1.339059, 1.143423, 1.259212, 0.891063, 0.758487]
pca: [[0.725462, 0.216533, 0.162046, 0.398749, 0.247795, -0.147485, -0.047526, 0.395152, 0.000000, 0.000000], [0.039963, -0.297446, -0.444479, -0.415195, 0.001968, 0.001205, -0.345518, 0.648531, 0.000000, 0.000000], [-0.020759, -0.444856, 0.484050, -0.077197, -0.076630, 0.283913, 0.572174, 0.384117, 0.000000, 0.000000], [-0.333767, 0.665638, 0.138307, -0.022721, 0.082560, 0.534867, -0.103705, 0.349609, 0.000000, 0.000000], [0.326473, -0.061383, 0.549573, -0.441678, -0.163573, 0.195297, -0.522905, -0.232835, 0.000000, 0.000000], [-0.368117, -0.421794, 0.222765, 0.486604, 0.409737, 0.077312, -0.474081, 0.039469, 0.000000, 0.000000], [0.255516, -0.185178, -0.340660, 0.400353, -0.454763, 0.628815, -0.083454, -0.122093, 0.000000, 0.000000], [0.229984, -0.087744, -0.234612, -0.264558, 0.724193, 0.414767, 0.187282, -0.287773, 0.000000, 0.000000]]
fourier: [[32.862743, 36.070543, 36.318189, 40.406287, 175.475320], [9.627910, 10.224101, 11.138300, 12.645730, 40.946502], [13.478762, 14.061523, 14.232039, 14.682239, 118.958316], [19.387084, 21.956074, 23.650431, 30.145050, 92.038212], [17.656313, 18.261693, 20.715920, 21.857824, 26.191408], [18.828075, 19.338315, 20.177771, 22.362973, 161.273138], [13.534016, 13.714889, 15.408738, 15.589901, 17.317315], [10.914828, 11.051702, 11.776275, 12.261815, 13.437506]]
### 4
mean: [0.845827, 0.715146, -2.038952, 0.788717, 0.116706, -0.190805, -0.832593, 0.625827]
std: [1.251332, 1.373530, 1.421191, 1.345522, 0.966951, 0.782606, 0.272339, 0.404060]
pca: [[0.433721, -0.083325, 0.275483, 0.585880, -0.027177, 0.219055, 0.578463, -0.049523, 0.000000, 0.000000], [0.470068, -0.184729, 0.501548, -0.383640, -0.409094, -0.281163, -0.116982, 0.293403, 0.000000, 0.000000], [-0.459437, 0.617972, 0.446144, -0.064338, -0.344123, 0.201009, 0.199973, 0.070926, 0.000000, 0.000000], [-0.456422, -0.393715, -0.081439, -0.082157, -0.057683, -0.454969, 0.597359, 0.236903, 0.000000, 0.000000], [-0.320792, -0.359829, 0.126205, 0.541505, -0.244730, 0.157206, -0.456018, 0.407310, 0.000000, 0.000000], [0.243917, 0.344533, -0.487320, -0.012843, -0.041675, 0.111503, 0.131297, 0.743469, 0.000000, 0.000000], [-0.023286, 0.219329, 0.417247, 0.151393, 0.728853, -0.351878, -0.110222, 0.295201, 0.000000, 0.000000], [-0.092590, -0.354607, 0.198438, -0.427040, 0.342492, 0.681613, 0.132393, 0.210990, 0.000000, 0.000000]]
fourier: [[19.601782, 21.760642, 22.932331, 23.598286, 76.124417], [20.892437, 24.349470, 25.453867, 25.935981, 64.363148], [21.649834, 21.720130, 22.646225, 26.735021, 183.505648], [21.410058, 22.250024, 22.926534, 28.454247, 70.984551], [13.672979, 15.146283, 15.935390, 16.871240, 20.189029], [12.181067, 12.288168, 14.044204, 14.161007, 17.172422], [4.088487, 4.277657, 4.298870, 4.704282, 74.933373], [5.893144, 6.647852, 6.779564, 7.044796, 56.324453]]
### 6
mean: [0.664624, 0.695433, -0.106173, 0.313529, -0.150133, 0.160323, 0.814337, 0.217635]
std: [1.766267, 1.963303, 0.845639, 0.540119, 0.375686, 1.203770, 1.870799, 0.736479]
pca: [[0.482107, 0.126899, -0.189045, -0.346748, 0.479141, -0.146548, 0.465445, 0.357500, 0.000000, 0.000000], [0.534967, 0.300283, -0.289146, 0.323626, -0.165850, -0.313746, -0.013300, -0.556041, 0.000000, 0.000000], [-0.230787, -0.010931, -0.031153, 0.746627, 0.583069, -0.165852, 0.024161, 0.141899, 0.000000, 0.000000], [-0.136962, 0.476752, 0.076780, 0.244299, -0.241807, 0.491759, 0.622908, 0.007701, 0.000000, 0.000000], [0.083723, 0.420566, 0.707954, 0.024963, -0.145164, -0.464739, -0.093228, 0.261814, 0.000000, 0.000000], [0.326028, -0.362215, -0.165529, 0.368757, -0.508343, -0.022286, 0.037757, 0.582057, 0.000000, 0.000000], [0.510728, 0.069312, 0.289619, 0.122737, 0.249977, 0.626967, -0.422902, 0.031421, 0.000000, 0.000000], [-0.187659, 0.594504, -0.511187, -0.078928, -0.050041, 0.034438, -0.453457, 0.366733, 0.000000, 0.000000]]
fourier: [[28.702061, 29.422766, 31.384332, 36.829275, 59.816150], [31.651991, 32.834282, 34.354781, 41.266064, 62.588993], [13.327405, 13.761260, 14.028303, 15.030136, 17.781548], [8.420030, 8.676720, 9.245314, 10.839866, 28.217623], [5.131842, 5.663975, 6.820488, 8.882838, 13.512011], [18.336667, 18.966541, 20.653356, 22.443293, 23.298432], [30.859841, 31.132288, 32.842042, 39.468263, 73.290356], [11.275472, 12.914908, 13.284628, 14.367728, 19.587128]]
### 8
mean: [1.165972, 2.357050, -1.270270, -1.572039, -1.034202, 1.877203, -0.730502, -1.312839]
std: [2.230996, 3.457240, 1.704659, 1.785204, 2.105494, 3.174495, 1.113307, 2.296144]
pca: [[0.335061, 0.592959, -0.037200, -0.178218, 0.005175, -0.476648, 0.338825, 0.401206, 0.000000, 0.000000], [0.521479, -0.330070, -0.137010, -0.203679, 0.115637, 0.012299, 0.545158, -0.498134, 0.000000, 0.000000], [-0.256190, 0.419347, 0.044995, -0.018968, -0.597238, 0.424863, 0.402915, -0.237883, 0.000000, 0.000000], [-0.268699, 0.349537, -0.141472, -0.527863, 0.622078, 0.311826, -0.036779, -0.146296, 0.000000, 0.000000], [-0.317065, -0.379454, -0.065278, 0.034779, 0.160989, 0.206379, 0.573722, 0.593589, 0.000000, 0.000000], [0.478996, 0.163054, 0.549447, 0.262734, 0.235824, 0.534189, -0.022976, 0.177640, 0.000000, 0.000000], [-0.167323, 0.259926, -0.241376, 0.754759, 0.378717, -0.121730, 0.218508, -0.265569, 0.000000, 0.000000], [-0.346406, -0.057383, 0.770318, -0.088623, 0.134055, -0.390057, 0.216510, -0.241816, 0.000000, 0.000000]]
fourier: [[36.166232, 36.908548, 37.745702, 49.542856, 104.937449], [52.969680, 54.250411, 59.941849, 80.277959, 212.134540], [25.536062, 27.087923, 29.704575, 40.122840, 114.324297], [26.876592, 28.319571, 31.055746, 41.734823, 141.483561], [33.684805, 34.076183, 35.894820, 47.338333, 93.078157], [49.472567, 49.676858, 54.792352, 72.395342, 168.948318], [16.860238, 17.558141, 19.446884, 26.191669, 65.745150], [35.975919, 36.308211, 39.296563, 52.751245, 118.155556]]
### 10
mean: [-2.671086]
std: [3.162449]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[47.938855, 49.842933, 55.709090, 73.899348, 240.397707]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.767481,
-0.059583,
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-0.336378,
0.135066
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[
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0.286777,
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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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0.454288,
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0.260387,
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]
],
"network.2.bias": [
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"network.4.weight": [
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],
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"network.6.weight": [
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"network.8.weight": [
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0.456047
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[
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[
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0.155595,
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0.048215,
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],
[
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0.035033,
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0.541616
]
],
"network.8.bias": [
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"network.10.weight": [
[
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]
],
"network.10.bias": [
-0.345989
]
}
## Activation Signature
### 0
mean: [-0.029457, 1.398808, 0.321918, 1.309467, 1.048407, 0.451631, 0.686083, 0.556019]
std: [1.767236, 1.530839, 1.052828, 2.037058, 1.480458, 1.320779, 1.186233, 1.178889]
pca: [[0.103032, 0.671373, 0.575134, 0.100185, 0.052940, 0.182204, 0.372378, 0.152186, 0.000000, 0.000000], [-0.320563, -0.251874, 0.368961, 0.761723, -0.293941, -0.066025, -0.162894, 0.012245, 0.000000, 0.000000], [0.334382, -0.134295, -0.050400, -0.048850, -0.388048, 0.365284, -0.185212, 0.739533, 0.000000, 0.000000], [0.678564, -0.072435, 0.280072, 0.162555, 0.396448, -0.296345, -0.427340, -0.042768, 0.000000, 0.000000], [0.245474, -0.438420, 0.482404, -0.357399, -0.385733, 0.158152, 0.217554, -0.407372, 0.000000, 0.000000], [-0.214861, -0.451468, 0.199967, -0.006006, 0.673914, 0.421683, 0.175122, 0.217586, 0.000000, 0.000000], [0.321615, -0.238715, -0.236227, 0.291540, -0.005951, -0.360224, 0.734187, 0.173069, 0.000000, 0.000000], [0.323271, 0.097550, -0.351575, 0.410081, 0.007607, 0.639218, 0.029146, -0.429769, 0.000000, 0.000000]]
fourier: [[28.001251, 29.000663, 29.982365, 31.670339, 39.241915], [23.675859, 23.958243, 24.164639, 27.382184, 125.892689], [15.320459, 16.272411, 17.249238, 19.470634, 28.972574], [32.383390, 33.821339, 35.024971, 38.468423, 117.852066], [23.696233, 23.884394, 24.704399, 27.560299, 94.356660], [18.193657, 18.678232, 24.656319, 25.632521, 40.646819], [17.997026, 18.625842, 18.779265, 22.597270, 61.747463], [19.543371, 19.562219, 20.304045, 22.065494, 50.041717]]
### 2
mean: [1.949726, -0.454961, -1.321759, 1.022647, 0.291016, -1.791924, 0.053694, -0.077042]
std: [2.161314, 0.654646, 0.803976, 1.339059, 1.143423, 1.259212, 0.891063, 0.758487]
pca: [[0.725462, 0.216533, 0.162046, 0.398749, 0.247795, -0.147485, -0.047526, 0.395152, 0.000000, 0.000000], [0.039963, -0.297446, -0.444479, -0.415195, 0.001968, 0.001205, -0.345518, 0.648531, 0.000000, 0.000000], [-0.020759, -0.444856, 0.484050, -0.077197, -0.076630, 0.283913, 0.572174, 0.384117, 0.000000, 0.000000], [-0.333767, 0.665638, 0.138307, -0.022721, 0.082560, 0.534867, -0.103705, 0.349609, 0.000000, 0.000000], [0.326473, -0.061383, 0.549573, -0.441678, -0.163573, 0.195297, -0.522905, -0.232835, 0.000000, 0.000000], [-0.368117, -0.421794, 0.222765, 0.486604, 0.409737, 0.077312, -0.474081, 0.039469, 0.000000, 0.000000], [0.255516, -0.185178, -0.340660, 0.400353, -0.454763, 0.628815, -0.083454, -0.122093, 0.000000, 0.000000], [0.229984, -0.087744, -0.234612, -0.264558, 0.724193, 0.414767, 0.187282, -0.287773, 0.000000, 0.000000]]
fourier: [[32.862743, 36.070543, 36.318189, 40.406287, 175.475320], [9.627910, 10.224101, 11.138300, 12.645730, 40.946502], [13.478762, 14.061523, 14.232039, 14.682239, 118.958316], [19.387084, 21.956074, 23.650431, 30.145050, 92.038212], [17.656313, 18.261693, 20.715920, 21.857824, 26.191408], [18.828075, 19.338315, 20.177771, 22.362973, 161.273138], [13.534016, 13.714889, 15.408738, 15.589901, 17.317315], [10.914828, 11.051702, 11.776275, 12.261815, 13.437506]]
### 4
mean: [0.845827, 0.715146, -2.038952, 0.788717, 0.116706, -0.190805, -0.832593, 0.625827]
std: [1.251332, 1.373530, 1.421191, 1.345522, 0.966951, 0.782606, 0.272339, 0.404060]
pca: [[0.433721, -0.083325, 0.275483, 0.585880, -0.027177, 0.219055, 0.578463, -0.049523, 0.000000, 0.000000], [0.470068, -0.184729, 0.501548, -0.383640, -0.409094, -0.281163, -0.116982, 0.293403, 0.000000, 0.000000], [-0.459437, 0.617972, 0.446144, -0.064338, -0.344123, 0.201009, 0.199973, 0.070926, 0.000000, 0.000000], [-0.456422, -0.393715, -0.081439, -0.082157, -0.057683, -0.454969, 0.597359, 0.236903, 0.000000, 0.000000], [-0.320792, -0.359829, 0.126205, 0.541505, -0.244730, 0.157206, -0.456018, 0.407310, 0.000000, 0.000000], [0.243917, 0.344533, -0.487320, -0.012843, -0.041675, 0.111503, 0.131297, 0.743469, 0.000000, 0.000000], [-0.023286, 0.219329, 0.417247, 0.151393, 0.728853, -0.351878, -0.110222, 0.295201, 0.000000, 0.000000], [-0.092590, -0.354607, 0.198438, -0.427040, 0.342492, 0.681613, 0.132393, 0.210990, 0.000000, 0.000000]]
fourier: [[19.601782, 21.760642, 22.932331, 23.598286, 76.124417], [20.892437, 24.349470, 25.453867, 25.935981, 64.363148], [21.649834, 21.720130, 22.646225, 26.735021, 183.505648], [21.410058, 22.250024, 22.926534, 28.454247, 70.984551], [13.672979, 15.146283, 15.935390, 16.871240, 20.189029], [12.181067, 12.288168, 14.044204, 14.161007, 17.172422], [4.088487, 4.277657, 4.298870, 4.704282, 74.933373], [5.893144, 6.647852, 6.779564, 7.044796, 56.324453]]
### 6
mean: [0.664624, 0.695433, -0.106173, 0.313529, -0.150133, 0.160323, 0.814337, 0.217635]
std: [1.766267, 1.963303, 0.845639, 0.540119, 0.375686, 1.203770, 1.870799, 0.736479]
pca: [[0.482107, 0.126899, -0.189045, -0.346748, 0.479141, -0.146548, 0.465445, 0.357500, 0.000000, 0.000000], [0.534967, 0.300283, -0.289146, 0.323626, -0.165850, -0.313746, -0.013300, -0.556041, 0.000000, 0.000000], [-0.230787, -0.010931, -0.031153, 0.746627, 0.583069, -0.165852, 0.024161, 0.141899, 0.000000, 0.000000], [-0.136962, 0.476752, 0.076780, 0.244299, -0.241807, 0.491759, 0.622908, 0.007701, 0.000000, 0.000000], [0.083723, 0.420566, 0.707954, 0.024963, -0.145164, -0.464739, -0.093228, 0.261814, 0.000000, 0.000000], [0.326028, -0.362215, -0.165529, 0.368757, -0.508343, -0.022286, 0.037757, 0.582057, 0.000000, 0.000000], [0.510728, 0.069312, 0.289619, 0.122737, 0.249977, 0.626967, -0.422902, 0.031421, 0.000000, 0.000000], [-0.187659, 0.594504, -0.511187, -0.078928, -0.050041, 0.034438, -0.453457, 0.366733, 0.000000, 0.000000]]
fourier: [[28.702061, 29.422766, 31.384332, 36.829275, 59.816150], [31.651991, 32.834282, 34.354781, 41.266064, 62.588993], [13.327405, 13.761260, 14.028303, 15.030136, 17.781548], [8.420030, 8.676720, 9.245314, 10.839866, 28.217623], [5.131842, 5.663975, 6.820488, 8.882838, 13.512011], [18.336667, 18.966541, 20.653356, 22.443293, 23.298432], [30.859841, 31.132288, 32.842042, 39.468263, 73.290356], [11.275472, 12.914908, 13.284628, 14.367728, 19.587128]]
### 8
mean: [1.165972, 2.357050, -1.270270, -1.572039, -1.034202, 1.877203, -0.730502, -1.312839]
std: [2.230996, 3.457240, 1.704659, 1.785204, 2.105494, 3.174495, 1.113307, 2.296144]
pca: [[0.335061, 0.592959, -0.037200, -0.178218, 0.005175, -0.476648, 0.338825, 0.401206, 0.000000, 0.000000], [0.521479, -0.330070, -0.137010, -0.203679, 0.115637, 0.012299, 0.545158, -0.498134, 0.000000, 0.000000], [-0.256190, 0.419347, 0.044995, -0.018968, -0.597238, 0.424863, 0.402915, -0.237883, 0.000000, 0.000000], [-0.268699, 0.349537, -0.141472, -0.527863, 0.622078, 0.311826, -0.036779, -0.146296, 0.000000, 0.000000], [-0.317065, -0.379454, -0.065278, 0.034779, 0.160989, 0.206379, 0.573722, 0.593589, 0.000000, 0.000000], [0.478996, 0.163054, 0.549447, 0.262734, 0.235824, 0.534189, -0.022976, 0.177640, 0.000000, 0.000000], [-0.167323, 0.259926, -0.241376, 0.754759, 0.378717, -0.121730, 0.218508, -0.265569, 0.000000, 0.000000], [-0.346406, -0.057383, 0.770318, -0.088623, 0.134055, -0.390057, 0.216510, -0.241816, 0.000000, 0.000000]]
fourier: [[36.166232, 36.908548, 37.745702, 49.542856, 104.937449], [52.969680, 54.250411, 59.941849, 80.277959, 212.134540], [25.536062, 27.087923, 29.704575, 40.122840, 114.324297], [26.876592, 28.319571, 31.055746, 41.734823, 141.483561], [33.684805, 34.076183, 35.894820, 47.338333, 93.078157], [49.472567, 49.676858, 54.792352, 72.395342, 168.948318], [16.860238, 17.558141, 19.446884, 26.191669, 65.745150], [35.975919, 36.308211, 39.296563, 52.751245, 118.155556]]
### 10
mean: [-2.671086]
std: [3.162449]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[47.938855, 49.842933, 55.709090, 73.899348, 240.397707]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6861229836940765, "train_acc": 0.585, "val_loss": 0.6637604236602783, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6626799404621124, "train_acc": 0.655, "val_loss": 0.6438001990318298, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6105484664440155, "train_acc": 0.6, "val_loss": 0.6094555854797363, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5390286445617676, "train_acc": 0.665, "val_loss": 0.3856768012046814, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5186951011419296, "train_acc": 0.8, "val_loss": 0.3975106179714203, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4013811945915222, "train_acc": 0.84, "val_loss": 0.3190152049064636, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.42945757508277893, "train_acc": 0.795, "val_loss": 0.32290884852409363, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.42987877130508423, "train_acc": 0.79, "val_loss": 0.3662978708744049, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4008801430463791, "train_acc": 0.815, "val_loss": 0.3914931118488312, "val_acc": 0.86}], "summary": {"total_epochs": 9, "degraded_epochs": 3, "improved_epochs": 6, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6637604236602783, "final_val_loss": 0.6094555854797363, "initial_val_acc": 0.6, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.3856768012046814, "final_val_loss": 0.3914931118488312, "initial_val_acc": 0.92, "final_val_acc": 0.86, "best_val_acc": 0.92, "best_epoch": 3}, "improvement": 0.4, "first_improvement_epoch": 2}}
|
9,781
|
{"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": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2643, "learning_rate": 0.042930469584423564, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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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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"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: [1.080611, -1.211920, 0.416972, 0.129186, 1.587866, 1.204450, 1.824083]
std: [1.172138, 1.243068, 1.026919, 2.069068, 1.502632, 1.653543, 1.802014]
pca: [[0.303407, 0.142023, -0.464963, 0.390970, -0.031725, -0.624687, -0.357052, 0.000000, 0.000000, 0.000000], [-0.327897, 0.113695, -0.519976, 0.360196, 0.561849, 0.288056, 0.284235, 0.000000, 0.000000, 0.000000], [0.081759, -0.168317, 0.616899, 0.743989, 0.164604, -0.030949, 0.053368, 0.000000, 0.000000, 0.000000], [0.096290, 0.935939, 0.273701, -0.054069, 0.164682, 0.059020, -0.079412, 0.000000, 0.000000, 0.000000], [0.468267, 0.003246, -0.205303, 0.232964, -0.278868, 0.716029, -0.306314, 0.000000, 0.000000, 0.000000], [0.489347, -0.242530, 0.086177, -0.326488, 0.733990, 0.003230, -0.221237, 0.000000, 0.000000, 0.000000], [0.570734, 0.061308, -0.091551, -0.009569, -0.112226, -0.098188, 0.799872, 0.000000, 0.000000, 0.000000]]
fourier: [[19.136969, 19.139895, 19.348801, 20.107876, 97.255001], [19.831249, 20.390992, 21.140894, 23.529558, 109.072779], [15.871187, 15.963034, 16.423511, 19.539452, 37.527497], [32.865248, 32.913976, 37.041381, 37.049505, 37.053335], [23.945607, 25.142242, 25.833936, 27.434225, 142.907975], [24.048325, 28.353711, 30.744121, 31.115835, 108.400493], [26.728684, 31.099284, 32.483720, 32.854871, 164.167455]]
### 2
mean: [-1.040600, 1.730837, -0.371503, 2.257852, -0.840700, -0.826406, 2.893634]
std: [0.774306, 1.492303, 0.721126, 2.025518, 0.712315, 0.738766, 2.884427]
pca: [[-0.157729, 0.525400, -0.170427, 0.365257, 0.595584, 0.305608, -0.297493, 0.000000, 0.000000, 0.000000], [0.366509, -0.327018, 0.158047, 0.769919, 0.160852, -0.071272, 0.331698, 0.000000, 0.000000, 0.000000], [-0.171955, -0.258973, -0.014381, 0.052764, -0.250562, 0.905180, 0.135063, 0.000000, 0.000000, 0.000000], [0.502636, 0.313058, 0.137823, -0.419306, 0.318353, 0.217268, 0.553159, 0.000000, 0.000000, 0.000000], [-0.133804, 0.522763, -0.412623, 0.267359, -0.496690, -0.103796, 0.457823, 0.000000, 0.000000, 0.000000], [-0.142822, 0.385037, 0.861024, 0.137130, -0.258624, 0.026095, -0.060121, 0.000000, 0.000000, 0.000000], [0.721304, 0.174378, -0.123100, 0.070179, -0.376416, 0.153344, -0.513840, 0.000000, 0.000000, 0.000000]]
fourier: [[13.372358, 13.651101, 13.993420, 14.487667, 93.654033], [23.337541, 25.074304, 26.928894, 27.043930, 155.775305], [11.255036, 11.737264, 13.111751, 15.020475, 33.435292], [31.891451, 31.908930, 37.329430, 38.672004, 203.206685], [12.093816, 13.130801, 13.212581, 14.021896, 75.662982], [11.268096, 12.454368, 12.707295, 14.134439, 74.376544], [45.478185, 48.516525, 51.545483, 53.497870, 260.427085]]
### 4
mean: [-0.810903, 2.440037, -0.954176, 3.269664, -0.533864, -2.110181, -1.402933]
std: [0.955032, 2.558330, 1.241580, 3.216799, 0.854948, 1.499050, 1.096163]
pca: [[-0.197100, -0.067658, -0.321694, -0.399670, 0.024061, 0.711724, 0.431534, 0.000000, 0.000000, 0.000000], [0.528502, -0.078202, 0.275073, 0.169038, -0.253079, -0.078846, 0.734892, 0.000000, 0.000000, 0.000000], [-0.255038, -0.409612, 0.514032, 0.122005, -0.555995, 0.352161, -0.234332, 0.000000, 0.000000, 0.000000], [0.664544, 0.094644, 0.295908, -0.210730, 0.288344, 0.431826, -0.384499, 0.000000, 0.000000, 0.000000], [-0.172787, -0.592574, 0.359321, -0.292669, 0.570477, -0.226189, 0.166219, 0.000000, 0.000000, 0.000000], [-0.306913, 0.654941, 0.550920, -0.378261, -0.029097, -0.077822, 0.152838, 0.000000, 0.000000, 0.000000], [-0.226105, 0.180210, 0.190877, 0.723644, 0.465627, 0.345723, 0.141328, 0.000000, 0.000000, 0.000000]]
fourier: [[15.098601, 15.872478, 17.281848, 17.690092, 72.981274], [41.294047, 42.408496, 44.804242, 47.644627, 219.603340], [20.086697, 20.441237, 22.610626, 23.431148, 85.875865], [51.768150, 52.717231, 57.003234, 60.052782, 294.269748], [13.872387, 14.047850, 16.127298, 16.473837, 48.047806], [23.453396, 25.431832, 25.474155, 27.791882, 189.916284], [17.795896, 18.183617, 18.313066, 20.619807, 126.263935]]
### 6
mean: [0.416919, -1.151797, -0.452114, -1.465644, 3.141351, 0.767705, -0.755892]
std: [0.173497, 1.275418, 0.405695, 1.639152, 2.917496, 1.132410, 0.598130]
pca: [[0.037864, 0.866882, 0.012467, 0.312951, -0.175744, -0.342442, -0.028929, 0.000000, 0.000000, 0.000000], [-0.333127, 0.327444, -0.098079, -0.067218, -0.012405, 0.768918, -0.419858, 0.000000, 0.000000, 0.000000], [-0.105962, 0.002612, -0.141982, 0.449511, 0.872669, -0.042567, -0.056428, 0.000000, 0.000000, 0.000000], [-0.428286, 0.076479, -0.365944, 0.069882, -0.087776, 0.174584, 0.796077, 0.000000, 0.000000, 0.000000], [0.762295, 0.245015, 0.007142, -0.173960, 0.224293, 0.401838, 0.341732, 0.000000, 0.000000, 0.000000], [0.295759, -0.273708, -0.246499, 0.754335, -0.386492, 0.225855, -0.086264, 0.000000, 0.000000, 0.000000], [-0.156108, -0.022206, 0.880533, 0.302188, -0.004674, 0.216155, 0.248469, 0.000000, 0.000000, 0.000000]]
fourier: [[2.949835, 3.114889, 3.133516, 3.628848, 37.522684], [20.603565, 20.820467, 22.357662, 23.967872, 103.661696], [6.517712, 6.610405, 7.262715, 7.567003, 40.690282], [26.579412, 26.589863, 29.034968, 30.941718, 131.908009], [47.316749, 47.749906, 51.887102, 55.266353, 282.721619], [18.513957, 18.539576, 19.781718, 21.278668, 69.093487], [9.911968, 10.073011, 10.541635, 11.351569, 68.030269]]
### 8
mean: [-0.818922, -0.680753, 0.372162, 1.231508, 1.189158, -0.499872, -0.258106]
std: [0.893179, 0.852280, 0.442178, 0.910840, 0.952301, 0.759820, 0.269299]
pca: [[-0.441657, 0.221597, 0.237967, 0.261096, 0.457842, -0.648626, 0.026452, 0.000000, 0.000000, 0.000000], [-0.421282, -0.270457, 0.046621, 0.356778, -0.183292, 0.255239, 0.721920, 0.000000, 0.000000, 0.000000], [0.216242, 0.466717, 0.236838, 0.671537, -0.441328, 0.050717, -0.176117, 0.000000, 0.000000, 0.000000], [0.450415, -0.109737, 0.798907, -0.195492, 0.108035, -0.040930, 0.308654, 0.000000, 0.000000, 0.000000], [0.470861, 0.239719, -0.366752, 0.281298, 0.600620, 0.177740, 0.338900, 0.000000, 0.000000, 0.000000], [-0.375535, 0.241923, 0.326855, -0.044058, 0.370514, 0.690734, -0.277988, 0.000000, 0.000000, 0.000000], [-0.122841, 0.729307, -0.074244, -0.484034, -0.228730, -0.034430, 0.399646, 0.000000, 0.000000, 0.000000]]
fourier: [[14.746917, 14.842001, 15.625742, 16.964640, 73.703012], [14.100815, 14.489030, 15.148645, 16.567472, 61.267753], [7.177348, 7.635203, 7.984876, 8.753802, 33.494563], [14.601580, 14.916010, 16.268891, 17.500421, 110.835724], [15.735382, 16.339427, 16.828752, 18.419008, 107.024230], [12.517735, 12.653599, 13.243090, 14.349469, 44.988502], [4.221868, 4.380961, 4.700117, 5.124343, 23.229558]]
### 10
mean: [-0.966803]
std: [0.855279]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.006355, 14.282179, 15.392447, 16.856394, 87.012234]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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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.8.weight": [
[
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[
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"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [1.080611, -1.211920, 0.416972, 0.129186, 1.587866, 1.204450, 1.824083]
std: [1.172138, 1.243068, 1.026919, 2.069068, 1.502632, 1.653543, 1.802014]
pca: [[0.303407, 0.142023, -0.464963, 0.390970, -0.031725, -0.624687, -0.357052, 0.000000, 0.000000, 0.000000], [-0.327897, 0.113695, -0.519976, 0.360196, 0.561849, 0.288056, 0.284235, 0.000000, 0.000000, 0.000000], [0.081759, -0.168317, 0.616899, 0.743989, 0.164604, -0.030949, 0.053368, 0.000000, 0.000000, 0.000000], [0.096290, 0.935939, 0.273701, -0.054069, 0.164682, 0.059020, -0.079412, 0.000000, 0.000000, 0.000000], [0.468267, 0.003246, -0.205303, 0.232964, -0.278868, 0.716029, -0.306314, 0.000000, 0.000000, 0.000000], [0.489347, -0.242530, 0.086177, -0.326488, 0.733990, 0.003230, -0.221237, 0.000000, 0.000000, 0.000000], [0.570734, 0.061308, -0.091551, -0.009569, -0.112226, -0.098188, 0.799872, 0.000000, 0.000000, 0.000000]]
fourier: [[19.136969, 19.139895, 19.348801, 20.107876, 97.255001], [19.831249, 20.390992, 21.140894, 23.529558, 109.072779], [15.871187, 15.963034, 16.423511, 19.539452, 37.527497], [32.865248, 32.913976, 37.041381, 37.049505, 37.053335], [23.945607, 25.142242, 25.833936, 27.434225, 142.907975], [24.048325, 28.353711, 30.744121, 31.115835, 108.400493], [26.728684, 31.099284, 32.483720, 32.854871, 164.167455]]
### 2
mean: [-1.040600, 1.730837, -0.371503, 2.257852, -0.840700, -0.826406, 2.893634]
std: [0.774306, 1.492303, 0.721126, 2.025518, 0.712315, 0.738766, 2.884427]
pca: [[-0.157729, 0.525400, -0.170427, 0.365257, 0.595584, 0.305608, -0.297493, 0.000000, 0.000000, 0.000000], [0.366509, -0.327018, 0.158047, 0.769919, 0.160852, -0.071272, 0.331698, 0.000000, 0.000000, 0.000000], [-0.171955, -0.258973, -0.014381, 0.052764, -0.250562, 0.905180, 0.135063, 0.000000, 0.000000, 0.000000], [0.502636, 0.313058, 0.137823, -0.419306, 0.318353, 0.217268, 0.553159, 0.000000, 0.000000, 0.000000], [-0.133804, 0.522763, -0.412623, 0.267359, -0.496690, -0.103796, 0.457823, 0.000000, 0.000000, 0.000000], [-0.142822, 0.385037, 0.861024, 0.137130, -0.258624, 0.026095, -0.060121, 0.000000, 0.000000, 0.000000], [0.721304, 0.174378, -0.123100, 0.070179, -0.376416, 0.153344, -0.513840, 0.000000, 0.000000, 0.000000]]
fourier: [[13.372358, 13.651101, 13.993420, 14.487667, 93.654033], [23.337541, 25.074304, 26.928894, 27.043930, 155.775305], [11.255036, 11.737264, 13.111751, 15.020475, 33.435292], [31.891451, 31.908930, 37.329430, 38.672004, 203.206685], [12.093816, 13.130801, 13.212581, 14.021896, 75.662982], [11.268096, 12.454368, 12.707295, 14.134439, 74.376544], [45.478185, 48.516525, 51.545483, 53.497870, 260.427085]]
### 4
mean: [-0.810903, 2.440037, -0.954176, 3.269664, -0.533864, -2.110181, -1.402933]
std: [0.955032, 2.558330, 1.241580, 3.216799, 0.854948, 1.499050, 1.096163]
pca: [[-0.197100, -0.067658, -0.321694, -0.399670, 0.024061, 0.711724, 0.431534, 0.000000, 0.000000, 0.000000], [0.528502, -0.078202, 0.275073, 0.169038, -0.253079, -0.078846, 0.734892, 0.000000, 0.000000, 0.000000], [-0.255038, -0.409612, 0.514032, 0.122005, -0.555995, 0.352161, -0.234332, 0.000000, 0.000000, 0.000000], [0.664544, 0.094644, 0.295908, -0.210730, 0.288344, 0.431826, -0.384499, 0.000000, 0.000000, 0.000000], [-0.172787, -0.592574, 0.359321, -0.292669, 0.570477, -0.226189, 0.166219, 0.000000, 0.000000, 0.000000], [-0.306913, 0.654941, 0.550920, -0.378261, -0.029097, -0.077822, 0.152838, 0.000000, 0.000000, 0.000000], [-0.226105, 0.180210, 0.190877, 0.723644, 0.465627, 0.345723, 0.141328, 0.000000, 0.000000, 0.000000]]
fourier: [[15.098601, 15.872478, 17.281848, 17.690092, 72.981274], [41.294047, 42.408496, 44.804242, 47.644627, 219.603340], [20.086697, 20.441237, 22.610626, 23.431148, 85.875865], [51.768150, 52.717231, 57.003234, 60.052782, 294.269748], [13.872387, 14.047850, 16.127298, 16.473837, 48.047806], [23.453396, 25.431832, 25.474155, 27.791882, 189.916284], [17.795896, 18.183617, 18.313066, 20.619807, 126.263935]]
### 6
mean: [0.416919, -1.151797, -0.452114, -1.465644, 3.141351, 0.767705, -0.755892]
std: [0.173497, 1.275418, 0.405695, 1.639152, 2.917496, 1.132410, 0.598130]
pca: [[0.037864, 0.866882, 0.012467, 0.312951, -0.175744, -0.342442, -0.028929, 0.000000, 0.000000, 0.000000], [-0.333127, 0.327444, -0.098079, -0.067218, -0.012405, 0.768918, -0.419858, 0.000000, 0.000000, 0.000000], [-0.105962, 0.002612, -0.141982, 0.449511, 0.872669, -0.042567, -0.056428, 0.000000, 0.000000, 0.000000], [-0.428286, 0.076479, -0.365944, 0.069882, -0.087776, 0.174584, 0.796077, 0.000000, 0.000000, 0.000000], [0.762295, 0.245015, 0.007142, -0.173960, 0.224293, 0.401838, 0.341732, 0.000000, 0.000000, 0.000000], [0.295759, -0.273708, -0.246499, 0.754335, -0.386492, 0.225855, -0.086264, 0.000000, 0.000000, 0.000000], [-0.156108, -0.022206, 0.880533, 0.302188, -0.004674, 0.216155, 0.248469, 0.000000, 0.000000, 0.000000]]
fourier: [[2.949835, 3.114889, 3.133516, 3.628848, 37.522684], [20.603565, 20.820467, 22.357662, 23.967872, 103.661696], [6.517712, 6.610405, 7.262715, 7.567003, 40.690282], [26.579412, 26.589863, 29.034968, 30.941718, 131.908009], [47.316749, 47.749906, 51.887102, 55.266353, 282.721619], [18.513957, 18.539576, 19.781718, 21.278668, 69.093487], [9.911968, 10.073011, 10.541635, 11.351569, 68.030269]]
### 8
mean: [-0.818922, -0.680753, 0.372162, 1.231508, 1.189158, -0.499872, -0.258106]
std: [0.893179, 0.852280, 0.442178, 0.910840, 0.952301, 0.759820, 0.269299]
pca: [[-0.441657, 0.221597, 0.237967, 0.261096, 0.457842, -0.648626, 0.026452, 0.000000, 0.000000, 0.000000], [-0.421282, -0.270457, 0.046621, 0.356778, -0.183292, 0.255239, 0.721920, 0.000000, 0.000000, 0.000000], [0.216242, 0.466717, 0.236838, 0.671537, -0.441328, 0.050717, -0.176117, 0.000000, 0.000000, 0.000000], [0.450415, -0.109737, 0.798907, -0.195492, 0.108035, -0.040930, 0.308654, 0.000000, 0.000000, 0.000000], [0.470861, 0.239719, -0.366752, 0.281298, 0.600620, 0.177740, 0.338900, 0.000000, 0.000000, 0.000000], [-0.375535, 0.241923, 0.326855, -0.044058, 0.370514, 0.690734, -0.277988, 0.000000, 0.000000, 0.000000], [-0.122841, 0.729307, -0.074244, -0.484034, -0.228730, -0.034430, 0.399646, 0.000000, 0.000000, 0.000000]]
fourier: [[14.746917, 14.842001, 15.625742, 16.964640, 73.703012], [14.100815, 14.489030, 15.148645, 16.567472, 61.267753], [7.177348, 7.635203, 7.984876, 8.753802, 33.494563], [14.601580, 14.916010, 16.268891, 17.500421, 110.835724], [15.735382, 16.339427, 16.828752, 18.419008, 107.024230], [12.517735, 12.653599, 13.243090, 14.349469, 44.988502], [4.221868, 4.380961, 4.700117, 5.124343, 23.229558]]
### 10
mean: [-0.966803]
std: [0.855279]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.006355, 14.282179, 15.392447, 16.856394, 87.012234]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 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": [[0.192121, 0.424867, 0.185091, -0.229533, -0.183503], [-0.559262, 0.044569, 0.05643, -0.360079, 0.084553], [0.097053, 0.289831, -0.316967, 0.069385, 0.400818], [0.435935, -0.387308, 0.437718, -0.568768, 0.275907], [0.449273, 0.443993, 0.110131, 0.001605, -0.24016], [0.621204, 0.226725, -0.06271, 0.356466, -0.381821], [0.665163, 0.348767, 0.152016, 0.063611, -0.308884]], "network.0.bias": [0.399232, -0.047152, -0.212967, 0.257512, 0.282422, -0.144263, 0.287795], "network.2.weight": [[-0.172901, -0.069958, -0.197979, 0.244253, -0.326516, -0.012064, -0.025918], [0.413871, -0.032049, 0.179152, 0.007973, 0.273055, 0.243634, 0.16556], [0.107056, -0.340875, 0.177756, -0.168697, -0.145564, -0.004182, -0.286119], [0.032491, -0.013313, -0.317157, 0.318489, 0.459878, 0.170215, 0.534871], [-0.210268, 0.1099, -0.212164, 0.29819, -0.310829, 0.185635, -0.130034], [0.149871, 0.461485, -0.300185, 0.018224, -0.008759, -0.367851, -0.093032], [0.291327, -0.078767, -0.207125, 0.415633, 0.409152, 0.572143, 0.58446]], "network.2.bias": [-0.383371, 0.168682, 0.275211, 0.270535, -0.259765, -0.179236, -0.024523], "network.4.weight": [[-0.130673, -0.113423, 0.317721, -0.110792, -0.264123, -0.049435, -0.176209], [-0.083021, 0.387834, -0.346889, 0.358487, 0.176123, -0.066848, 0.418533], [-0.2832, 0.217969, -0.268097, -0.284995, 0.116286, -0.082406, -0.347333], [0.196346, 0.367589, -0.371562, 0.609879, -0.035805, -0.012318, 0.477249], [-0.144643, 0.378867, -0.118564, -0.159118, -0.146324, -0.342655, -0.374675], [0.20582, -0.469476, -0.341893, 0.083797, 0.189724, 0.366939, -0.347963], [0.146109, -0.212772, -0.103398, -0.219664, 0.375049, 0.32644, -0.125926]], "network.4.bias": [0.078163, -0.186463, 0.291338, -0.034138, 0.211741, -0.449573, -0.120335], "network.6.weight": [[-0.293756, 0.238436, -0.165833, -0.156671, -0.432415, 0.262878, -0.396992], [-0.009214, -0.203687, 0.167834, -0.22477, -0.046076, -0.050399, -0.358277], [-0.133931, -0.054061, -0.069485, -0.080513, 0.327215, 0.246587, -0.051709], [-0.015517, -0.26442, 0.028336, -0.278703, 0.345032, -0.360438, -0.173676], [-0.386993, 0.451455, -0.238899, 0.516775, -0.49349, 0.328877, 0.197894], [-0.357633, 0.437243, -0.260292, 0.00505, 0.312666, -0.158104, 0.166031], [0.290308, 0.027706, 0.072201, -0.219468, -0.13832, 0.316329, 0.405046]], "network.6.bias": [0.304653, 0.02792, -0.049859, 0.028011, 0.397504, -0.320656, -0.027692], "network.8.weight": [[0.169178, 0.143833, 0.071039, 0.281616, -0.239433, -0.18836, -0.03148], [-0.04955, 0.365723, -0.035385, 0.262328, -0.289206, 0.008559, 0.217694], [0.187021, -0.33492, -0.611212, -0.162524, 0.153967, -0.0624, 0.058051], [-0.154018, -0.067809, -0.30792, 0.197076, 0.338312, -0.075642, -0.201021], [0.050852, -0.494006, -0.197742, -0.421378, 0.236946, 0.220846, -0.314676], [0.064014, 0.033683, 0.047299, 0.32567, -0.179676, -0.217456, -0.106334], [0.296892, -0.42482, 0.135533, -0.084496, 0.000792, -0.265297, -0.00459]], "network.8.bias": [0.038345, 0.271694, -0.189359, 0.234692, 0.175547, 0.20923, -0.155192], "network.10.weight": [[0.477988, 0.250097, -0.112435, -0.272148, -0.523594, 0.229212, -0.010088]], "network.10.bias": [-0.003393]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6943530440330505, "train_acc": 0.465, "val_loss": 0.6765360832214355, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6690794825553894, "train_acc": 0.565, "val_loss": 0.6286437511444092, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6247750222682953, "train_acc": 0.49, "val_loss": 0.48875755071640015, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.45054882764816284, "train_acc": 0.89, "val_loss": 0.3481917977333069, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.349043607711792, "train_acc": 0.875, "val_loss": 0.3831964135169983, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.30854906886816025, "train_acc": 0.895, "val_loss": 0.37245190143585205, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.24545803666114807, "train_acc": 0.915, "val_loss": 0.3518025279045105, "val_acc": 0.88}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6765360832214355, "final_val_loss": 0.6286437511444092, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.48875755071640015, "final_val_loss": 0.3518025279045105, "initial_val_acc": 0.88, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 2}, "improvement": 0.33999999999999997, "first_improvement_epoch": 1}}
|
9,782
|
{"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": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5765, "learning_rate": 0.0345060975668468, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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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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[
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]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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0.413084,
0.483805,
0.340516,
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [1.974492, -0.366406, 2.026762, -0.600491, -2.370080, 2.849898, -0.720359, 1.562432]
std: [1.494529, 0.748290, 2.083401, 1.739866, 1.416179, 2.541171, 0.925598, 1.265128]
pca: [[0.373283, -0.113945, 0.169912, -0.147904, 0.314387, 0.828698, 0.075743, 0.074931, 0.000000, 0.000000], [-0.137849, -0.235925, 0.111770, -0.073233, 0.595744, -0.311446, 0.632578, 0.235408, 0.000000, 0.000000], [0.436803, -0.537357, -0.012699, 0.675444, -0.068423, -0.129709, -0.092778, 0.184258, 0.000000, 0.000000], [-0.360698, -0.324928, 0.727330, -0.072120, 0.112645, -0.044407, -0.464161, -0.001169, 0.000000, 0.000000], [-0.126250, 0.638857, 0.100752, 0.521261, 0.367863, 0.063747, -0.189919, 0.344388, 0.000000, 0.000000], [0.607142, 0.345125, 0.550480, -0.188746, -0.210763, -0.313949, 0.157202, 0.076924, 0.000000, 0.000000], [-0.228327, -0.075355, 0.012332, -0.130633, -0.478921, 0.162978, 0.135954, 0.806573, 0.000000, 0.000000], [0.289938, -0.064014, -0.340788, -0.432357, 0.346078, -0.261295, -0.539249, 0.360465, 0.000000, 0.000000]]
fourier: [[23.795240, 24.742132, 27.835458, 29.353989, 177.704292], [11.635686, 11.723170, 12.009722, 12.895430, 32.976529], [31.535254, 38.917644, 39.215981, 41.324370, 182.408637], [27.555148, 28.264501, 30.270523, 30.602226, 54.044186], [21.429926, 22.127708, 22.476464, 27.030825, 213.307171], [41.648377, 42.843834, 43.680267, 46.676574, 256.490841], [14.729580, 15.752905, 16.122243, 16.830310, 64.832286], [20.147200, 20.881877, 23.309995, 25.744823, 140.618860]]
### 2
mean: [1.995915, 3.147206, 2.045841, 3.756509, -1.356206, 3.542526, 2.986991, 1.178340]
std: [1.848642, 2.831512, 1.605240, 3.079772, 0.896935, 3.190750, 2.289627, 1.199865]
pca: [[0.289184, -0.015473, 0.743815, 0.078160, -0.431534, 0.390407, -0.020429, 0.133070, 0.000000, 0.000000], [0.444878, -0.072299, -0.132557, -0.084354, -0.107102, -0.440827, -0.102076, 0.745621, 0.000000, 0.000000], [0.251645, 0.129049, 0.150450, -0.273728, 0.052529, -0.253391, 0.852928, -0.167351, 0.000000, 0.000000], [0.482910, -0.244830, 0.023531, -0.592728, 0.134756, -0.021422, -0.397357, -0.422451, 0.000000, 0.000000], [-0.114037, 0.668288, 0.446786, -0.063390, 0.347626, -0.359488, -0.294398, 0.002193, 0.000000, 0.000000], [0.501168, 0.026068, -0.062228, 0.723433, 0.007405, -0.259724, -0.062153, -0.386714, 0.000000, 0.000000], [0.350764, 0.648247, -0.426884, -0.084855, -0.059716, 0.509537, 0.013842, 0.062647, 0.000000, 0.000000], [0.186332, -0.224554, 0.142336, 0.161082, 0.810509, 0.363692, 0.114276, 0.257668, 0.000000, 0.000000]]
fourier: [[30.512164, 31.136528, 32.908718, 37.049031, 179.632341], [48.208993, 49.137637, 49.880675, 55.115152, 283.248486], [27.417962, 27.689006, 28.220085, 33.008154, 184.125721], [52.068758, 52.310847, 54.566121, 59.043783, 338.085801], [13.652962, 15.365222, 16.752670, 17.184499, 122.058533], [53.455358, 56.196211, 56.367512, 62.783127, 318.827371], [38.099021, 40.251736, 41.074943, 48.903277, 268.829190], [19.877008, 20.041556, 21.865947, 22.061188, 106.050596]]
### 4
mean: [7.711809, -2.262810, -4.599340, -5.225621, -3.718281, -7.086895, -5.582900, -6.749311]
std: [6.797308, 2.139081, 4.453745, 4.013089, 3.302391, 6.483655, 5.148927, 6.350722]
pca: [[0.473141, -0.263249, -0.314961, 0.334617, 0.048503, 0.058134, 0.183017, 0.675605, 0.000000, 0.000000], [-0.148883, -0.027791, -0.326351, 0.736857, -0.045802, -0.142933, 0.270757, -0.481417, 0.000000, 0.000000], [-0.309715, -0.520856, -0.254911, -0.004190, -0.257293, 0.628603, -0.322229, -0.051141, 0.000000, 0.000000], [-0.279006, -0.519876, 0.062930, -0.199378, -0.435329, -0.575788, 0.265053, 0.129908, 0.000000, 0.000000], [-0.229398, 0.542299, -0.425109, 0.047023, -0.466601, -0.186836, -0.359522, 0.297454, 0.000000, 0.000000], [-0.451333, 0.170974, -0.395459, -0.316577, 0.313663, 0.200167, 0.589731, 0.155638, 0.000000, 0.000000], [-0.358390, 0.179682, 0.622299, 0.394131, -0.211451, 0.285219, 0.227097, 0.345024, 0.000000, 0.000000], [-0.442081, -0.180997, 0.031524, 0.218021, 0.615651, -0.305274, -0.436462, 0.246090, 0.000000, 0.000000]]
fourier: [[114.841060, 119.995174, 121.836853, 132.929847, 694.062863], [35.456946, 37.464670, 38.362801, 41.492734, 203.652826], [73.896058, 77.839265, 80.251979, 84.165908, 413.940603], [66.771798, 69.954621, 72.325685, 75.800308, 470.305879], [55.687296, 58.448787, 58.826560, 66.155884, 334.645305], [108.813088, 114.170064, 116.510211, 126.445054, 637.820536], [87.189549, 91.129565, 91.999320, 100.500588, 502.460956], [106.308150, 111.513949, 114.235612, 122.733201, 607.437980]]
### 6
mean: [4.433559, 0.756381, 3.060310, 4.080303, -1.292229, -4.351851, -1.970907, 1.961447]
std: [3.794111, 0.539716, 2.758358, 3.417161, 0.824930, 3.978533, 2.108105, 1.501893]
pca: [[-0.501922, -0.134435, 0.557476, -0.408623, 0.163178, -0.426046, 0.187916, 0.093777, 0.000000, 0.000000], [-0.068006, 0.784859, 0.015941, -0.283239, -0.453765, -0.169943, -0.192586, -0.164376, 0.000000, 0.000000], [-0.364869, 0.227729, 0.009134, -0.279913, 0.225606, 0.792979, 0.036974, 0.235573, 0.000000, 0.000000], [-0.452050, 0.162479, -0.412458, 0.198163, 0.546833, -0.256650, -0.391552, -0.204089, 0.000000, 0.000000], [0.108843, 0.261465, -0.474325, -0.145145, 0.201361, -0.243040, 0.705541, 0.276289, 0.000000, 0.000000], [0.526235, 0.380517, 0.463531, 0.064533, 0.594954, 0.000188, -0.044511, -0.057507, 0.000000, 0.000000], [0.278864, -0.144361, -0.194867, -0.471098, 0.066070, -0.162030, -0.520453, 0.583094, 0.000000, 0.000000], [-0.198584, 0.231658, 0.202346, 0.622911, -0.136616, -0.097964, -0.047722, 0.668879, 0.000000, 0.000000]]
fourier: [[64.143900, 66.317119, 67.902592, 75.468974, 399.020344], [8.691918, 8.765112, 9.272816, 11.414807, 68.074286], [46.839375, 47.790910, 48.876982, 55.195085, 275.427925], [58.035656, 59.183580, 60.386914, 68.079793, 367.227218], [13.818479, 14.766906, 15.116759, 16.161558, 116.300643], [67.398532, 69.641327, 70.984331, 78.390102, 391.666573], [35.774429, 36.537357, 37.419651, 42.198937, 177.381594], [25.549902, 25.848554, 26.500851, 30.285050, 176.530226]]
### 8
mean: [-2.654477, -2.976473, 6.121309, -3.866269, -3.140030, -3.217670, 8.286640, -3.190413]
std: [2.405061, 2.745498, 5.276719, 3.785454, 3.019890, 3.063941, 6.975937, 2.983095]
pca: [[-0.209679, 0.090812, 0.481852, 0.016107, -0.050652, -0.166734, -0.169161, 0.810164, 0.000000, 0.000000], [-0.239357, -0.228403, -0.227215, 0.442866, 0.788165, 0.019537, -0.066887, 0.129318, 0.000000, 0.000000], [0.460041, 0.410028, -0.231888, 0.580728, -0.145383, -0.028132, 0.372148, 0.262300, 0.000000, 0.000000], [-0.330009, 0.519495, 0.462612, 0.391195, 0.011635, 0.228590, -0.172435, -0.414793, 0.000000, 0.000000], [-0.263268, -0.445952, -0.147851, 0.344811, -0.487499, 0.575149, -0.058122, 0.138683, 0.000000, 0.000000], [-0.267120, -0.284703, 0.356006, 0.075877, -0.009881, -0.193922, 0.814092, -0.121013, 0.000000, 0.000000], [0.608197, -0.229041, 0.501211, -0.049118, 0.278674, 0.495427, 0.027915, 0.011170, 0.000000, 0.000000], [-0.260061, 0.411337, -0.220449, -0.431588, 0.198863, 0.552199, 0.363015, 0.228154, 0.000000, 0.000000]]
fourier: [[40.813666, 42.045638, 42.951049, 47.873850, 238.902948], [46.371668, 47.960304, 49.368028, 54.682184, 267.882554], [89.310652, 92.290679, 94.640942, 105.463800, 550.917862], [64.200942, 66.287611, 67.657788, 74.936040, 347.964171], [50.985036, 52.611147, 54.222212, 60.453610, 282.602686], [51.887772, 53.445443, 54.848371, 61.267635, 289.590311], [117.961452, 122.258114, 125.339178, 138.731421, 745.797636], [50.488591, 52.502162, 53.587595, 59.124449, 287.137191]]
### 10
mean: [-6.296544]
std: [5.347825]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[90.401524, 92.430716, 96.045785, 108.211923, 566.688846]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.410758,
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0.167276,
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[
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0.305662,
0.055409
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[
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[
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[
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[
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[
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],
"network.0.bias": [
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"network.2.weight": [
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[
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[
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],
[
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[
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],
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0.527263,
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0.128724,
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0.640616
],
[
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0.095353,
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0.345201,
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0.038657
]
],
"network.2.bias": [
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-0.210505
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"network.4.weight": [
[
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[
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[
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0.09007,
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0.07898,
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[
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0.034571,
0.038993,
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0.539307,
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0.068552,
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[
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[
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0.087092,
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"network.4.bias": [
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"network.6.weight": [
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],
"network.6.bias": [
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"network.8.weight": [
[
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0.257043,
-0.035448
],
[
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0.205137,
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-0.436035,
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],
[
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0.045475,
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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: [1.974492, -0.366406, 2.026762, -0.600491, -2.370080, 2.849898, -0.720359, 1.562432]
std: [1.494529, 0.748290, 2.083401, 1.739866, 1.416179, 2.541171, 0.925598, 1.265128]
pca: [[0.373283, -0.113945, 0.169912, -0.147904, 0.314387, 0.828698, 0.075743, 0.074931, 0.000000, 0.000000], [-0.137849, -0.235925, 0.111770, -0.073233, 0.595744, -0.311446, 0.632578, 0.235408, 0.000000, 0.000000], [0.436803, -0.537357, -0.012699, 0.675444, -0.068423, -0.129709, -0.092778, 0.184258, 0.000000, 0.000000], [-0.360698, -0.324928, 0.727330, -0.072120, 0.112645, -0.044407, -0.464161, -0.001169, 0.000000, 0.000000], [-0.126250, 0.638857, 0.100752, 0.521261, 0.367863, 0.063747, -0.189919, 0.344388, 0.000000, 0.000000], [0.607142, 0.345125, 0.550480, -0.188746, -0.210763, -0.313949, 0.157202, 0.076924, 0.000000, 0.000000], [-0.228327, -0.075355, 0.012332, -0.130633, -0.478921, 0.162978, 0.135954, 0.806573, 0.000000, 0.000000], [0.289938, -0.064014, -0.340788, -0.432357, 0.346078, -0.261295, -0.539249, 0.360465, 0.000000, 0.000000]]
fourier: [[23.795240, 24.742132, 27.835458, 29.353989, 177.704292], [11.635686, 11.723170, 12.009722, 12.895430, 32.976529], [31.535254, 38.917644, 39.215981, 41.324370, 182.408637], [27.555148, 28.264501, 30.270523, 30.602226, 54.044186], [21.429926, 22.127708, 22.476464, 27.030825, 213.307171], [41.648377, 42.843834, 43.680267, 46.676574, 256.490841], [14.729580, 15.752905, 16.122243, 16.830310, 64.832286], [20.147200, 20.881877, 23.309995, 25.744823, 140.618860]]
### 2
mean: [1.995915, 3.147206, 2.045841, 3.756509, -1.356206, 3.542526, 2.986991, 1.178340]
std: [1.848642, 2.831512, 1.605240, 3.079772, 0.896935, 3.190750, 2.289627, 1.199865]
pca: [[0.289184, -0.015473, 0.743815, 0.078160, -0.431534, 0.390407, -0.020429, 0.133070, 0.000000, 0.000000], [0.444878, -0.072299, -0.132557, -0.084354, -0.107102, -0.440827, -0.102076, 0.745621, 0.000000, 0.000000], [0.251645, 0.129049, 0.150450, -0.273728, 0.052529, -0.253391, 0.852928, -0.167351, 0.000000, 0.000000], [0.482910, -0.244830, 0.023531, -0.592728, 0.134756, -0.021422, -0.397357, -0.422451, 0.000000, 0.000000], [-0.114037, 0.668288, 0.446786, -0.063390, 0.347626, -0.359488, -0.294398, 0.002193, 0.000000, 0.000000], [0.501168, 0.026068, -0.062228, 0.723433, 0.007405, -0.259724, -0.062153, -0.386714, 0.000000, 0.000000], [0.350764, 0.648247, -0.426884, -0.084855, -0.059716, 0.509537, 0.013842, 0.062647, 0.000000, 0.000000], [0.186332, -0.224554, 0.142336, 0.161082, 0.810509, 0.363692, 0.114276, 0.257668, 0.000000, 0.000000]]
fourier: [[30.512164, 31.136528, 32.908718, 37.049031, 179.632341], [48.208993, 49.137637, 49.880675, 55.115152, 283.248486], [27.417962, 27.689006, 28.220085, 33.008154, 184.125721], [52.068758, 52.310847, 54.566121, 59.043783, 338.085801], [13.652962, 15.365222, 16.752670, 17.184499, 122.058533], [53.455358, 56.196211, 56.367512, 62.783127, 318.827371], [38.099021, 40.251736, 41.074943, 48.903277, 268.829190], [19.877008, 20.041556, 21.865947, 22.061188, 106.050596]]
### 4
mean: [7.711809, -2.262810, -4.599340, -5.225621, -3.718281, -7.086895, -5.582900, -6.749311]
std: [6.797308, 2.139081, 4.453745, 4.013089, 3.302391, 6.483655, 5.148927, 6.350722]
pca: [[0.473141, -0.263249, -0.314961, 0.334617, 0.048503, 0.058134, 0.183017, 0.675605, 0.000000, 0.000000], [-0.148883, -0.027791, -0.326351, 0.736857, -0.045802, -0.142933, 0.270757, -0.481417, 0.000000, 0.000000], [-0.309715, -0.520856, -0.254911, -0.004190, -0.257293, 0.628603, -0.322229, -0.051141, 0.000000, 0.000000], [-0.279006, -0.519876, 0.062930, -0.199378, -0.435329, -0.575788, 0.265053, 0.129908, 0.000000, 0.000000], [-0.229398, 0.542299, -0.425109, 0.047023, -0.466601, -0.186836, -0.359522, 0.297454, 0.000000, 0.000000], [-0.451333, 0.170974, -0.395459, -0.316577, 0.313663, 0.200167, 0.589731, 0.155638, 0.000000, 0.000000], [-0.358390, 0.179682, 0.622299, 0.394131, -0.211451, 0.285219, 0.227097, 0.345024, 0.000000, 0.000000], [-0.442081, -0.180997, 0.031524, 0.218021, 0.615651, -0.305274, -0.436462, 0.246090, 0.000000, 0.000000]]
fourier: [[114.841060, 119.995174, 121.836853, 132.929847, 694.062863], [35.456946, 37.464670, 38.362801, 41.492734, 203.652826], [73.896058, 77.839265, 80.251979, 84.165908, 413.940603], [66.771798, 69.954621, 72.325685, 75.800308, 470.305879], [55.687296, 58.448787, 58.826560, 66.155884, 334.645305], [108.813088, 114.170064, 116.510211, 126.445054, 637.820536], [87.189549, 91.129565, 91.999320, 100.500588, 502.460956], [106.308150, 111.513949, 114.235612, 122.733201, 607.437980]]
### 6
mean: [4.433559, 0.756381, 3.060310, 4.080303, -1.292229, -4.351851, -1.970907, 1.961447]
std: [3.794111, 0.539716, 2.758358, 3.417161, 0.824930, 3.978533, 2.108105, 1.501893]
pca: [[-0.501922, -0.134435, 0.557476, -0.408623, 0.163178, -0.426046, 0.187916, 0.093777, 0.000000, 0.000000], [-0.068006, 0.784859, 0.015941, -0.283239, -0.453765, -0.169943, -0.192586, -0.164376, 0.000000, 0.000000], [-0.364869, 0.227729, 0.009134, -0.279913, 0.225606, 0.792979, 0.036974, 0.235573, 0.000000, 0.000000], [-0.452050, 0.162479, -0.412458, 0.198163, 0.546833, -0.256650, -0.391552, -0.204089, 0.000000, 0.000000], [0.108843, 0.261465, -0.474325, -0.145145, 0.201361, -0.243040, 0.705541, 0.276289, 0.000000, 0.000000], [0.526235, 0.380517, 0.463531, 0.064533, 0.594954, 0.000188, -0.044511, -0.057507, 0.000000, 0.000000], [0.278864, -0.144361, -0.194867, -0.471098, 0.066070, -0.162030, -0.520453, 0.583094, 0.000000, 0.000000], [-0.198584, 0.231658, 0.202346, 0.622911, -0.136616, -0.097964, -0.047722, 0.668879, 0.000000, 0.000000]]
fourier: [[64.143900, 66.317119, 67.902592, 75.468974, 399.020344], [8.691918, 8.765112, 9.272816, 11.414807, 68.074286], [46.839375, 47.790910, 48.876982, 55.195085, 275.427925], [58.035656, 59.183580, 60.386914, 68.079793, 367.227218], [13.818479, 14.766906, 15.116759, 16.161558, 116.300643], [67.398532, 69.641327, 70.984331, 78.390102, 391.666573], [35.774429, 36.537357, 37.419651, 42.198937, 177.381594], [25.549902, 25.848554, 26.500851, 30.285050, 176.530226]]
### 8
mean: [-2.654477, -2.976473, 6.121309, -3.866269, -3.140030, -3.217670, 8.286640, -3.190413]
std: [2.405061, 2.745498, 5.276719, 3.785454, 3.019890, 3.063941, 6.975937, 2.983095]
pca: [[-0.209679, 0.090812, 0.481852, 0.016107, -0.050652, -0.166734, -0.169161, 0.810164, 0.000000, 0.000000], [-0.239357, -0.228403, -0.227215, 0.442866, 0.788165, 0.019537, -0.066887, 0.129318, 0.000000, 0.000000], [0.460041, 0.410028, -0.231888, 0.580728, -0.145383, -0.028132, 0.372148, 0.262300, 0.000000, 0.000000], [-0.330009, 0.519495, 0.462612, 0.391195, 0.011635, 0.228590, -0.172435, -0.414793, 0.000000, 0.000000], [-0.263268, -0.445952, -0.147851, 0.344811, -0.487499, 0.575149, -0.058122, 0.138683, 0.000000, 0.000000], [-0.267120, -0.284703, 0.356006, 0.075877, -0.009881, -0.193922, 0.814092, -0.121013, 0.000000, 0.000000], [0.608197, -0.229041, 0.501211, -0.049118, 0.278674, 0.495427, 0.027915, 0.011170, 0.000000, 0.000000], [-0.260061, 0.411337, -0.220449, -0.431588, 0.198863, 0.552199, 0.363015, 0.228154, 0.000000, 0.000000]]
fourier: [[40.813666, 42.045638, 42.951049, 47.873850, 238.902948], [46.371668, 47.960304, 49.368028, 54.682184, 267.882554], [89.310652, 92.290679, 94.640942, 105.463800, 550.917862], [64.200942, 66.287611, 67.657788, 74.936040, 347.964171], [50.985036, 52.611147, 54.222212, 60.453610, 282.602686], [51.887772, 53.445443, 54.848371, 61.267635, 289.590311], [117.961452, 122.258114, 125.339178, 138.731421, 745.797636], [50.488591, 52.502162, 53.587595, 59.124449, 287.137191]]
### 10
mean: [-6.296544]
std: [5.347825]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[90.401524, 92.430716, 96.045785, 108.211923, 566.688846]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.391498, 0.410758, 0.181605, 0.167276, -0.100123], [-0.027354, -0.308164, -0.106341, 0.229914, 0.121717], [0.548658, 0.693898, -0.363843, 0.305662, 0.055409], [-0.061449, -0.728744, -0.188109, 0.188081, 0.537034], [0.063079, -0.259812, 0.024243, -0.502798, -0.263151], [0.646686, 0.667803, 0.520273, -0.205942, -0.212341], [-0.2772, -0.251331, -0.074518, -0.00482, 0.210371], [0.077816, 0.426896, 0.249623, 0.194551, -0.259253]], "network.0.bias": [0.124221, -0.191842, 0.115766, 0.131179, -0.623008, 0.444972, -0.010879, 0.068799], "network.2.weight": [[0.602181, 0.17313, 0.216861, -0.36386, -0.177516, 0.254843, -0.28101, -0.131394], [0.444306, -0.237083, 0.295819, -0.203984, -0.062887, 0.482703, -0.073558, 0.362949], [0.291913, -0.068941, 0.237346, -0.270713, 0.029114, 0.199433, -0.019837, 0.165814], [0.505099, -0.325489, 0.251101, -0.250497, 0.094142, 0.58638, -0.207788, 0.313072], [-0.227607, 0.276907, 0.254992, -0.237323, 0.21883, -0.337674, -0.181065, -0.058678], [0.4589, 0.182046, 0.417438, -0.274708, -0.212088, 0.547336, -0.178782, 0.362912], [0.131371, -0.174837, 0.527263, -0.213727, -0.059862, 0.128724, -0.277675, 0.640616], [0.092895, 0.308123, 0.095353, -0.151228, -0.175222, 0.345201, -0.191017, 0.038657]], "network.2.bias": [-0.038641, -0.157555, 0.271316, 0.230474, -0.333017, -0.225542, 0.381425, -0.210505], "network.4.weight": [[0.223058, 0.498174, 0.423789, 0.444121, 0.016212, 0.574663, 0.364146, 0.19541], [-0.098171, 0.057831, -0.103009, -0.067473, -0.354462, -0.253341, -0.153885, -0.478805], [-0.170852, -0.521442, -0.058413, -0.304063, 0.09007, -0.365902, 0.07898, -0.53044], [0.021138, 0.034571, 0.038993, -0.623628, 0.539307, -0.597716, 0.068552, -0.462073], [-0.387749, -0.039218, -0.293699, -0.026032, 0.198911, -0.179229, -0.448939, -0.270257], [-0.547451, -0.510263, -0.348362, -0.353732, -0.184363, -0.17242, -0.466491, -0.622507], [-0.104175, -0.641424, 0.087092, -0.27916, -0.438307, -0.481148, -0.34125, -0.063931], [-0.105227, -0.248756, -0.491621, -0.504275, -0.680317, -0.607008, -0.180372, -0.590032]], "network.4.bias": [-0.083306, 0.047559, 0.27272, -0.651114, 0.112083, 0.24054, 0.213737, 0.344181], "network.6.weight": [[0.554467, -0.576244, -0.484636, 0.416668, -0.296389, -0.14362, 0.014006, -0.498667], [0.072575, -0.438987, -0.43706, 0.26336, -0.24996, -0.103336, -0.592156, -0.62003], [0.402391, -0.393407, -0.276915, 0.285948, -0.316434, -0.103992, -0.619112, -0.635251], [0.499483, -0.206853, -0.295099, 0.377205, -0.538356, -0.654149, -0.462786, -0.505126], [-0.120967, 0.369271, 0.017985, -0.04652, -0.362383, 0.126095, -0.140573, -0.207868], [-0.582237, -0.093359, 0.461447, 0.157051, -0.141464, 0.485755, 0.339579, 0.271045], [-0.306729, 0.446949, 0.083238, -0.415184, 0.128973, 0.305977, 0.143633, 0.515357], [0.2184, -0.550961, -0.036086, 0.354159, -0.021922, -0.400065, -0.120649, -0.403014]], "network.6.bias": [0.157285, 0.188128, -0.044658, 0.228342, -0.355884, 0.122753, 0.391686, 0.272531], "network.8.weight": [[-0.031688, -0.303203, -0.625359, -0.131612, -0.333253, 0.285199, 0.189499, 0.039556], [-0.093579, 0.25392, -0.04186, -0.679261, -0.031838, 0.366339, 0.257043, -0.035448], [0.613794, 0.620735, 0.500244, 0.205137, -0.356725, -0.436035, -0.446112, 0.358375], [0.047842, -0.258336, -0.590641, -0.619632, -0.47786, 0.511637, 0.045475, -0.044417], [-0.476528, 0.160754, -0.203743, -0.258442, -0.160322, 0.568911, 0.338259, 0.123637], [-0.225058, -0.200849, -0.626547, -0.110032, -0.259131, 0.410652, 0.370586, 0.016003], [0.656975, 0.394105, 0.660468, 0.472266, 0.308778, -0.507702, -0.410637, 0.52933], [-0.216741, -0.284779, -0.223921, -0.507266, -0.015057, 0.128827, 0.077226, 0.219725]], "network.8.bias": [0.013179, 0.223736, -0.068662, 0.445172, 0.279416, 0.204849, 0.223746, 0.278947], "network.10.weight": [[0.340048, 0.457293, -0.539318, 0.413084, 0.483805, 0.340516, -0.347356, 0.377572]], "network.10.bias": [-0.141937]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6727972626686096, "train_acc": 0.59, "val_loss": 0.7317992448806763, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6589111387729645, "train_acc": 0.59, "val_loss": 0.6914393901824951, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.612708330154419, "train_acc": 0.515, "val_loss": 0.5146294832229614, "val_acc": 0.44}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.43220555782318115, "train_acc": 0.66, "val_loss": 0.34412693977355957, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.2725716680288315, "train_acc": 0.915, "val_loss": 0.19597283005714417, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.20046386122703552, "train_acc": 0.93, "val_loss": 0.42708107829093933, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3336000591516495, "train_acc": 0.86, "val_loss": 0.20325177907943726, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.29710792005062103, "train_acc": 0.935, "val_loss": 0.2836207449436188, "val_acc": 0.94}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.7317992448806763, "final_val_loss": 0.6914393901824951, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5146294832229614, "final_val_loss": 0.2836207449436188, "initial_val_acc": 0.44, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 4}, "improvement": 0.49999999999999994, "first_improvement_epoch": 1}}
|
9,783
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.58, "improved_accuracy": 0.98, "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": 4199, "learning_rate": 0.010562729276745078, "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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
mean: [1.533445, -1.240258, 0.072234, 0.990274, 1.947386, 0.530942, 2.164488, 1.847922]
std: [1.465264, 1.268769, 0.873952, 1.115444, 1.707767, 1.405461, 1.746348, 1.625461]
pca: [[0.298828, 0.415618, -0.614951, -0.115429, 0.173560, 0.409666, 0.021582, -0.384786, 0.000000, 0.000000], [-0.358467, 0.070658, -0.000031, -0.444163, 0.679894, 0.037474, 0.342576, 0.297003, 0.000000, 0.000000], [-0.076754, 0.311968, -0.281913, -0.215021, -0.615863, -0.016104, 0.352153, 0.517220, 0.000000, 0.000000], [-0.064230, 0.482353, -0.150311, 0.638638, 0.293259, -0.253905, -0.213494, 0.369744, 0.000000, 0.000000], [0.519424, -0.128668, -0.221312, -0.431588, 0.120907, -0.498464, -0.391249, 0.249470, 0.000000, 0.000000], [0.349553, -0.425301, -0.058201, 0.223984, 0.113465, 0.596501, -0.000936, 0.524106, 0.000000, 0.000000], [0.546586, 0.030819, 0.182464, 0.207094, 0.120578, -0.286601, 0.718408, -0.106411, 0.000000, 0.000000], [0.285379, 0.542120, 0.658868, -0.236598, -0.017344, 0.282175, -0.208324, 0.106095, 0.000000, 0.000000]]
fourier: [[22.090044, 23.640055, 27.682621, 29.703732, 138.010049], [19.944538, 20.189025, 25.121298, 25.213523, 111.623234], [12.255789, 14.904846, 14.922817, 14.974681, 16.070120], [15.687552, 18.844177, 20.533210, 25.006986, 89.124694], [26.502416, 26.819543, 28.173230, 30.667506, 175.264748], [20.569302, 21.657862, 22.935523, 27.238591, 47.784742], [28.884858, 29.728902, 30.908146, 34.105472, 194.803896], [24.505618, 24.705809, 26.515715, 26.952692, 166.312989]]
### 2
mean: [0.801806, -1.206200, -0.345232, 2.209337, -0.094796, 0.809251, 1.875283, 0.486833]
std: [0.965923, 0.752457, 0.695694, 1.515696, 0.498419, 1.084794, 1.451785, 0.527291]
pca: [[0.346060, 0.240488, 0.379936, -0.194065, -0.088566, 0.503070, 0.524610, 0.322887, 0.000000, 0.000000], [-0.242855, 0.200673, 0.533700, 0.587821, -0.189761, 0.097542, -0.391295, 0.267855, 0.000000, 0.000000], [-0.203134, -0.370076, 0.477358, -0.346645, 0.483597, 0.334648, -0.255657, -0.250064, 0.000000, 0.000000], [0.571865, -0.110123, 0.179939, 0.545490, 0.352698, -0.135684, 0.177841, -0.395566, 0.000000, 0.000000], [-0.025429, 0.453734, -0.475602, 0.183404, 0.437022, 0.544210, -0.214688, -0.020040, 0.000000, 0.000000], [0.367172, 0.557041, 0.219365, -0.398661, 0.151904, -0.401821, -0.403728, 0.017531, 0.000000, 0.000000], [0.539366, -0.338849, -0.151271, -0.056977, -0.436241, 0.343691, -0.509531, -0.009229, 0.000000, 0.000000], [0.163072, -0.349034, -0.115599, 0.057175, 0.439905, -0.176802, -0.077304, 0.777303, 0.000000, 0.000000]]
fourier: [[15.708100, 15.758977, 15.857633, 16.577359, 72.162553], [10.921784, 12.097228, 13.342307, 14.437175, 108.557984], [11.103847, 12.589537, 12.898256, 13.006104, 31.070869], [22.171948, 24.547101, 27.557223, 28.893816, 198.840299], [8.531612, 8.798395, 8.945257, 9.290779, 10.257566], [17.112377, 17.544215, 18.178878, 19.025378, 72.832641], [21.594225, 21.940789, 26.721258, 28.382051, 168.775447], [8.682154, 8.805978, 9.362886, 9.836958, 43.814995]]
### 4
mean: [0.157788, 0.326670, 0.217251, 1.649908, -0.607027, 0.015448, -0.617633, 1.765400]
std: [0.110978, 0.255519, 0.279963, 0.858494, 0.308458, 0.208933, 0.331450, 1.669026]
pca: [[-0.010547, -0.178540, 0.282522, -0.564909, -0.070327, 0.661609, -0.094105, 0.342847, 0.000000, 0.000000], [0.110225, -0.284444, -0.467463, 0.312359, -0.420798, 0.006638, -0.055313, 0.640841, 0.000000, 0.000000], [0.081181, -0.569138, -0.099628, 0.123888, 0.564890, 0.125835, 0.555842, 0.017958, 0.000000, 0.000000], [0.440967, 0.017389, 0.564581, 0.619098, -0.103576, 0.298984, -0.044748, -0.033026, 0.000000, 0.000000], [-0.090942, 0.630455, 0.027147, 0.125714, 0.476904, 0.033567, 0.124739, 0.577574, 0.000000, 0.000000], [-0.081774, -0.261854, 0.589812, -0.152313, -0.083678, -0.636364, 0.100878, 0.362672, 0.000000, 0.000000], [-0.161233, 0.261420, 0.050711, -0.026788, -0.503701, 0.118878, 0.793520, -0.069673, 0.000000, 0.000000], [0.863564, 0.169156, -0.147634, -0.380735, 0.000893, -0.191797, 0.147351, 0.019726, 0.000000, 0.000000]]
fourier: [[1.607283, 1.757981, 2.068793, 2.098757, 14.200914], [3.795718, 4.082897, 4.509374, 4.636908, 29.400316], [4.405561, 4.464038, 4.539337, 4.789057, 19.552585], [12.490703, 13.731765, 15.967141, 16.287077, 148.491704], [4.640033, 4.763953, 5.196137, 5.649902, 54.632405], [3.263745, 3.373185, 3.502386, 3.522813, 3.989392], [5.071704, 5.128000, 6.091760, 6.183963, 55.586976], [25.954293, 27.284554, 28.511664, 30.531889, 158.886010]]
### 6
mean: [-0.529532, -0.819037, -0.118745, -0.662365, -0.108328, 1.266035, -0.512744, 0.162762]
std: [0.093805, 0.427543, 0.458929, 0.518152, 0.127663, 0.873008, 0.332324, 0.435066]
pca: [[0.021086, 0.490045, -0.358464, -0.183777, -0.066226, -0.625718, 0.114630, 0.433696, 0.000000, 0.000000], [-0.326251, 0.065705, -0.168051, 0.413398, 0.552484, -0.302868, -0.481581, -0.247418, 0.000000, 0.000000], [-0.346122, -0.456375, 0.082242, 0.267765, -0.259552, -0.041238, -0.248000, 0.680359, 0.000000, 0.000000], [-0.395832, 0.071543, -0.142623, 0.529858, -0.094846, 0.028316, 0.716516, -0.117963, 0.000000, 0.000000], [0.049947, 0.483976, 0.739408, 0.319579, -0.263619, -0.153906, -0.143167, -0.027185, 0.000000, 0.000000], [0.667530, -0.058986, 0.026653, 0.432041, 0.441697, 0.071769, 0.175996, 0.363777, 0.000000, 0.000000], [-0.244216, 0.544404, -0.141603, -0.031426, 0.163664, 0.686717, -0.146854, 0.320953, 0.000000, 0.000000], [-0.330001, -0.089743, 0.498670, -0.391283, 0.568011, -0.117586, 0.327113, 0.194437, 0.000000, 0.000000]]
fourier: [[1.385895, 1.398215, 1.443382, 1.862939, 47.657860], [6.371973, 6.811544, 7.557159, 7.943435, 73.713346], [7.394323, 7.466513, 7.760242, 7.971478, 10.687064], [7.835728, 8.275298, 9.162528, 9.717019, 59.612890], [1.980114, 2.048880, 2.073284, 2.490031, 9.749484], [13.057263, 13.790025, 15.579690, 16.238991, 113.943159], [4.788037, 4.808503, 6.393191, 6.465591, 46.147007], [6.733766, 6.986685, 7.168334, 7.713814, 14.648609]]
### 8
mean: [0.145386, 0.418635, 0.454173, 0.513084, -0.512722, 0.039979, 0.612535, 0.211532]
std: [0.369904, 0.177236, 0.460771, 0.447487, 0.232930, 0.265953, 0.292186, 0.236454]
pca: [[-0.402904, 0.222485, 0.661389, 0.388285, 0.137340, 0.234749, 0.349925, 0.059594, 0.000000, 0.000000], [0.192053, 0.214924, -0.542603, 0.152083, 0.284082, 0.206384, 0.689935, 0.008257, 0.000000, 0.000000], [0.502415, 0.206470, 0.392718, -0.496060, 0.401672, 0.251967, -0.023362, -0.281554, 0.000000, 0.000000], [0.487637, -0.284781, 0.137440, 0.534688, 0.432409, -0.255396, -0.162189, 0.312762, 0.000000, 0.000000], [-0.252107, -0.354526, -0.053204, -0.385922, 0.290734, 0.382253, -0.018041, 0.654231, 0.000000, 0.000000], [0.290121, 0.061228, 0.271378, -0.284694, -0.412384, -0.419470, 0.466359, 0.440315, 0.000000, 0.000000], [0.316169, 0.454210, -0.054169, 0.220007, -0.390252, 0.510010, -0.316785, 0.360045, 0.000000, 0.000000], [-0.250765, 0.666958, -0.124968, -0.125497, 0.381095, -0.437494, -0.237743, 0.260307, 0.000000, 0.000000]]
fourier: [[6.053539, 6.163875, 6.243989, 6.478991, 13.084721], [2.730770, 2.797569, 3.077091, 3.199482, 37.677186], [6.941505, 7.608886, 8.102836, 8.489466, 40.875540], [7.079212, 7.549380, 7.591887, 8.097337, 46.177595], [3.423084, 3.657513, 4.183093, 4.386022, 46.144963], [3.855171, 4.003558, 4.423394, 4.655324, 4.888426], [4.344335, 4.591632, 5.230872, 5.457933, 55.128102], [3.754582, 3.960792, 4.141122, 4.248555, 19.037860]]
### 10
mean: [-0.270029]
std: [0.529517]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.744005, 8.825377, 8.923809, 9.138468, 24.302627]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.145646,
-0.02316,
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-0.255404,
0.082017,
-0.322804,
0.137055,
-0.038122
],
[
0.277594,
-0.329549,
0.041571,
0.268714,
0.287088,
-0.03173,
-0.224893,
-0.356312
]
],
"network.6.bias": [
-0.177979,
-0.185426,
0.235053,
0.070474,
-0.277165,
0.190776,
0.077585,
0.405053
],
"network.8.weight": [
[
-0.032727,
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],
[
-0.157082,
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[
0.278154,
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[
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[
-0.211256,
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[
-0.115924,
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-0.294426,
-0.071594
],
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-0.245027,
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0.358998,
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"network.10.weight": [
[
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],
"network.10.bias": [
-0.010142
]
}
## Activation Signature
### 0
mean: [1.533445, -1.240258, 0.072234, 0.990274, 1.947386, 0.530942, 2.164488, 1.847922]
std: [1.465264, 1.268769, 0.873952, 1.115444, 1.707767, 1.405461, 1.746348, 1.625461]
pca: [[0.298828, 0.415618, -0.614951, -0.115429, 0.173560, 0.409666, 0.021582, -0.384786, 0.000000, 0.000000], [-0.358467, 0.070658, -0.000031, -0.444163, 0.679894, 0.037474, 0.342576, 0.297003, 0.000000, 0.000000], [-0.076754, 0.311968, -0.281913, -0.215021, -0.615863, -0.016104, 0.352153, 0.517220, 0.000000, 0.000000], [-0.064230, 0.482353, -0.150311, 0.638638, 0.293259, -0.253905, -0.213494, 0.369744, 0.000000, 0.000000], [0.519424, -0.128668, -0.221312, -0.431588, 0.120907, -0.498464, -0.391249, 0.249470, 0.000000, 0.000000], [0.349553, -0.425301, -0.058201, 0.223984, 0.113465, 0.596501, -0.000936, 0.524106, 0.000000, 0.000000], [0.546586, 0.030819, 0.182464, 0.207094, 0.120578, -0.286601, 0.718408, -0.106411, 0.000000, 0.000000], [0.285379, 0.542120, 0.658868, -0.236598, -0.017344, 0.282175, -0.208324, 0.106095, 0.000000, 0.000000]]
fourier: [[22.090044, 23.640055, 27.682621, 29.703732, 138.010049], [19.944538, 20.189025, 25.121298, 25.213523, 111.623234], [12.255789, 14.904846, 14.922817, 14.974681, 16.070120], [15.687552, 18.844177, 20.533210, 25.006986, 89.124694], [26.502416, 26.819543, 28.173230, 30.667506, 175.264748], [20.569302, 21.657862, 22.935523, 27.238591, 47.784742], [28.884858, 29.728902, 30.908146, 34.105472, 194.803896], [24.505618, 24.705809, 26.515715, 26.952692, 166.312989]]
### 2
mean: [0.801806, -1.206200, -0.345232, 2.209337, -0.094796, 0.809251, 1.875283, 0.486833]
std: [0.965923, 0.752457, 0.695694, 1.515696, 0.498419, 1.084794, 1.451785, 0.527291]
pca: [[0.346060, 0.240488, 0.379936, -0.194065, -0.088566, 0.503070, 0.524610, 0.322887, 0.000000, 0.000000], [-0.242855, 0.200673, 0.533700, 0.587821, -0.189761, 0.097542, -0.391295, 0.267855, 0.000000, 0.000000], [-0.203134, -0.370076, 0.477358, -0.346645, 0.483597, 0.334648, -0.255657, -0.250064, 0.000000, 0.000000], [0.571865, -0.110123, 0.179939, 0.545490, 0.352698, -0.135684, 0.177841, -0.395566, 0.000000, 0.000000], [-0.025429, 0.453734, -0.475602, 0.183404, 0.437022, 0.544210, -0.214688, -0.020040, 0.000000, 0.000000], [0.367172, 0.557041, 0.219365, -0.398661, 0.151904, -0.401821, -0.403728, 0.017531, 0.000000, 0.000000], [0.539366, -0.338849, -0.151271, -0.056977, -0.436241, 0.343691, -0.509531, -0.009229, 0.000000, 0.000000], [0.163072, -0.349034, -0.115599, 0.057175, 0.439905, -0.176802, -0.077304, 0.777303, 0.000000, 0.000000]]
fourier: [[15.708100, 15.758977, 15.857633, 16.577359, 72.162553], [10.921784, 12.097228, 13.342307, 14.437175, 108.557984], [11.103847, 12.589537, 12.898256, 13.006104, 31.070869], [22.171948, 24.547101, 27.557223, 28.893816, 198.840299], [8.531612, 8.798395, 8.945257, 9.290779, 10.257566], [17.112377, 17.544215, 18.178878, 19.025378, 72.832641], [21.594225, 21.940789, 26.721258, 28.382051, 168.775447], [8.682154, 8.805978, 9.362886, 9.836958, 43.814995]]
### 4
mean: [0.157788, 0.326670, 0.217251, 1.649908, -0.607027, 0.015448, -0.617633, 1.765400]
std: [0.110978, 0.255519, 0.279963, 0.858494, 0.308458, 0.208933, 0.331450, 1.669026]
pca: [[-0.010547, -0.178540, 0.282522, -0.564909, -0.070327, 0.661609, -0.094105, 0.342847, 0.000000, 0.000000], [0.110225, -0.284444, -0.467463, 0.312359, -0.420798, 0.006638, -0.055313, 0.640841, 0.000000, 0.000000], [0.081181, -0.569138, -0.099628, 0.123888, 0.564890, 0.125835, 0.555842, 0.017958, 0.000000, 0.000000], [0.440967, 0.017389, 0.564581, 0.619098, -0.103576, 0.298984, -0.044748, -0.033026, 0.000000, 0.000000], [-0.090942, 0.630455, 0.027147, 0.125714, 0.476904, 0.033567, 0.124739, 0.577574, 0.000000, 0.000000], [-0.081774, -0.261854, 0.589812, -0.152313, -0.083678, -0.636364, 0.100878, 0.362672, 0.000000, 0.000000], [-0.161233, 0.261420, 0.050711, -0.026788, -0.503701, 0.118878, 0.793520, -0.069673, 0.000000, 0.000000], [0.863564, 0.169156, -0.147634, -0.380735, 0.000893, -0.191797, 0.147351, 0.019726, 0.000000, 0.000000]]
fourier: [[1.607283, 1.757981, 2.068793, 2.098757, 14.200914], [3.795718, 4.082897, 4.509374, 4.636908, 29.400316], [4.405561, 4.464038, 4.539337, 4.789057, 19.552585], [12.490703, 13.731765, 15.967141, 16.287077, 148.491704], [4.640033, 4.763953, 5.196137, 5.649902, 54.632405], [3.263745, 3.373185, 3.502386, 3.522813, 3.989392], [5.071704, 5.128000, 6.091760, 6.183963, 55.586976], [25.954293, 27.284554, 28.511664, 30.531889, 158.886010]]
### 6
mean: [-0.529532, -0.819037, -0.118745, -0.662365, -0.108328, 1.266035, -0.512744, 0.162762]
std: [0.093805, 0.427543, 0.458929, 0.518152, 0.127663, 0.873008, 0.332324, 0.435066]
pca: [[0.021086, 0.490045, -0.358464, -0.183777, -0.066226, -0.625718, 0.114630, 0.433696, 0.000000, 0.000000], [-0.326251, 0.065705, -0.168051, 0.413398, 0.552484, -0.302868, -0.481581, -0.247418, 0.000000, 0.000000], [-0.346122, -0.456375, 0.082242, 0.267765, -0.259552, -0.041238, -0.248000, 0.680359, 0.000000, 0.000000], [-0.395832, 0.071543, -0.142623, 0.529858, -0.094846, 0.028316, 0.716516, -0.117963, 0.000000, 0.000000], [0.049947, 0.483976, 0.739408, 0.319579, -0.263619, -0.153906, -0.143167, -0.027185, 0.000000, 0.000000], [0.667530, -0.058986, 0.026653, 0.432041, 0.441697, 0.071769, 0.175996, 0.363777, 0.000000, 0.000000], [-0.244216, 0.544404, -0.141603, -0.031426, 0.163664, 0.686717, -0.146854, 0.320953, 0.000000, 0.000000], [-0.330001, -0.089743, 0.498670, -0.391283, 0.568011, -0.117586, 0.327113, 0.194437, 0.000000, 0.000000]]
fourier: [[1.385895, 1.398215, 1.443382, 1.862939, 47.657860], [6.371973, 6.811544, 7.557159, 7.943435, 73.713346], [7.394323, 7.466513, 7.760242, 7.971478, 10.687064], [7.835728, 8.275298, 9.162528, 9.717019, 59.612890], [1.980114, 2.048880, 2.073284, 2.490031, 9.749484], [13.057263, 13.790025, 15.579690, 16.238991, 113.943159], [4.788037, 4.808503, 6.393191, 6.465591, 46.147007], [6.733766, 6.986685, 7.168334, 7.713814, 14.648609]]
### 8
mean: [0.145386, 0.418635, 0.454173, 0.513084, -0.512722, 0.039979, 0.612535, 0.211532]
std: [0.369904, 0.177236, 0.460771, 0.447487, 0.232930, 0.265953, 0.292186, 0.236454]
pca: [[-0.402904, 0.222485, 0.661389, 0.388285, 0.137340, 0.234749, 0.349925, 0.059594, 0.000000, 0.000000], [0.192053, 0.214924, -0.542603, 0.152083, 0.284082, 0.206384, 0.689935, 0.008257, 0.000000, 0.000000], [0.502415, 0.206470, 0.392718, -0.496060, 0.401672, 0.251967, -0.023362, -0.281554, 0.000000, 0.000000], [0.487637, -0.284781, 0.137440, 0.534688, 0.432409, -0.255396, -0.162189, 0.312762, 0.000000, 0.000000], [-0.252107, -0.354526, -0.053204, -0.385922, 0.290734, 0.382253, -0.018041, 0.654231, 0.000000, 0.000000], [0.290121, 0.061228, 0.271378, -0.284694, -0.412384, -0.419470, 0.466359, 0.440315, 0.000000, 0.000000], [0.316169, 0.454210, -0.054169, 0.220007, -0.390252, 0.510010, -0.316785, 0.360045, 0.000000, 0.000000], [-0.250765, 0.666958, -0.124968, -0.125497, 0.381095, -0.437494, -0.237743, 0.260307, 0.000000, 0.000000]]
fourier: [[6.053539, 6.163875, 6.243989, 6.478991, 13.084721], [2.730770, 2.797569, 3.077091, 3.199482, 37.677186], [6.941505, 7.608886, 8.102836, 8.489466, 40.875540], [7.079212, 7.549380, 7.591887, 8.097337, 46.177595], [3.423084, 3.657513, 4.183093, 4.386022, 46.144963], [3.855171, 4.003558, 4.423394, 4.655324, 4.888426], [4.344335, 4.591632, 5.230872, 5.457933, 55.128102], [3.754582, 3.960792, 4.141122, 4.248555, 19.037860]]
### 10
mean: [-0.270029]
std: [0.529517]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.744005, 8.825377, 8.923809, 9.138468, 24.302627]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 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": [[0.406145, -0.055519, 0.098592, 0.44038, 0.300044], [-0.363382, -0.337249, 0.014526, -0.19255, 0.296681], [-0.039614, -0.103194, -0.234136, 0.289659, 0.22412], [-0.052888, -0.432698, 0.228728, 0.47566, 0.042842], [0.514125, 0.514393, 0.09921, -0.043207, 0.061567], [0.473233, 0.31812, 0.071068, -0.208218, -0.287241], [0.350426, 0.503607, 0.351499, 0.156752, -0.183848], [-0.327493, 0.477852, 0.429416, 0.353806, 0.105569]], "network.0.bias": [-0.391184, -0.156843, -0.098913, 0.29391, 0.179728, 0.014668, -0.032923, -0.401205], "network.2.weight": [[0.165223, -0.172054, -0.223874, -0.053398, 0.086569, 0.507565, 0.034003, 0.065335], [0.095446, -0.01575, -0.31081, -0.191442, -0.0633, -0.182102, -0.156428, -0.245826], [0.033463, -0.26775, 0.139862, 0.314622, 0.048866, -0.118105, -0.131138, -0.355768], [0.314915, -0.425346, -0.070565, 0.030984, 0.35374, 0.100962, 0.287158, 0.024923], [-0.297193, 0.222952, 0.378998, -0.388414, -0.138108, -0.193483, 0.343784, 0.080055], [-0.215727, -0.196293, -0.201846, 0.077354, 0.355122, 0.379706, 0.09226, 0.090488], [0.281165, -0.293236, -0.057384, 0.226972, 0.347643, 0.482822, -0.12114, 0.364126], [0.102649, -0.360881, 0.202459, 0.169153, 0.138743, -0.097379, 0.121698, -0.012058]], "network.2.bias": [-0.075716, 0.046415, 0.189178, 0.280397, 0.161876, -0.212132, -0.274264, -0.355354], "network.4.weight": [[0.081835, -0.218831, 0.080519, 0.154708, -0.169169, -0.346797, 0.104637, -0.368383], [-0.045044, 0.339978, 0.412455, 0.008174, 0.308399, 0.084807, 0.009345, 0.444928], [-0.188374, -0.22032, 0.184783, -0.131947, -0.039439, -0.12715, 0.511597, -0.132499], [-0.00828, 0.023734, -0.151243, 0.49256, 0.278321, 0.052861, 0.070339, -0.127786], [0.07635, 0.076655, -0.289534, -0.166878, -0.133967, 0.251073, -0.100846, -0.273734], [-0.174542, -0.103552, -0.385654, 0.179303, -0.149245, -0.216767, -0.050564, -0.048268], [-0.21593, -0.279881, 0.01906, 0.215892, -0.034157, 0.104452, -0.360975, -0.087395], [0.411307, -0.022342, 0.414861, 0.342091, -0.029849, 0.477987, 0.137696, 0.447879]], "network.4.bias": [0.064111, -0.07293, -0.139516, 0.433436, -0.132854, 0.138417, -0.278649, -0.283662], "network.6.weight": [[-0.113101, -0.227905, -0.041945, -0.380401, -0.193864, -0.350522, -0.079327, 0.232521], [-0.063749, -0.1953, 0.116941, -0.158541, 0.29651, -0.296815, -0.110059, -0.168805], [0.065943, 0.104729, 0.110748, 0.040626, -0.198112, 0.448624, 0.156831, -0.301656], [-0.077028, 0.000879, -0.065508, -0.230491, 0.302013, 0.078628, 0.294084, -0.187184], [-0.331478, -0.285902, -0.258485, 0.243361, -0.296781, 0.25224, 0.308693, -0.025212], [-0.358422, 0.11849, 0.179872, 0.295017, -0.249037, -0.277346, -0.145596, 0.333557], [0.145646, -0.02316, -0.362911, -0.255404, 0.082017, -0.322804, 0.137055, -0.038122], [0.277594, -0.329549, 0.041571, 0.268714, 0.287088, -0.03173, -0.224893, -0.356312]], "network.6.bias": [-0.177979, -0.185426, 0.235053, 0.070474, -0.277165, 0.190776, 0.077585, 0.405053], "network.8.weight": [[-0.032727, -0.07819, 0.084245, -0.165794, -0.052242, -0.288974, 0.242602, 0.508929], [-0.157082, 0.062858, 0.182008, -0.030996, -0.100136, 0.192294, -0.031932, -0.142466], [0.278154, -0.246955, -0.409378, 0.128436, 0.279106, 0.450957, 0.240572, -0.0977], [-0.081096, -0.348748, -0.491802, -0.130035, -0.234419, 0.376505, 0.273908, -0.34811], [-0.211256, -0.219773, 0.045517, 0.169694, 0.10459, -0.276113, 0.040084, -0.050115], [-0.115924, 0.085919, -0.277921, 0.059566, 0.158781, 0.251731, -0.294426, -0.071594], [-0.245027, -0.018354, -0.003814, -0.11673, -0.037336, 0.341581, 0.063201, 0.027449], [-0.013266, 0.273082, 0.484156, -0.35959, 0.117787, -0.108816, -0.094113, 0.409706]], "network.8.bias": [0.358998, 0.195867, -0.046244, 0.193742, -0.155639, -0.228957, 0.173287, 0.177061], "network.10.weight": [[0.369065, -0.254655, -0.388454, -0.212763, -0.144519, -0.267856, -0.03385, 0.441209]], "network.10.bias": [-0.010142]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6906538009643555, "train_acc": 0.59, "val_loss": 0.681888222694397, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6819518804550171, "train_acc": 0.56, "val_loss": 0.6703343391418457, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6734748482704163, "train_acc": 0.56, "val_loss": 0.6529426574707031, "val_acc": 0.58}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6653402745723724, "train_acc": 0.56, "val_loss": 0.6348165273666382, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6531369090080261, "train_acc": 0.56, "val_loss": 0.6210336089134216, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6274221241474152, "train_acc": 0.86, "val_loss": 0.5887956023216248, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5935496091842651, "train_acc": 0.88, "val_loss": 0.546334445476532, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5580108165740967, "train_acc": 0.885, "val_loss": 0.4932180345058441, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5068089812994003, "train_acc": 0.925, "val_loss": 0.42926207184791565, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.45021502673625946, "train_acc": 0.925, "val_loss": 0.36764204502105713, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3983544558286667, "train_acc": 0.89, "val_loss": 0.31087902188301086, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.34485262632369995, "train_acc": 0.93, "val_loss": 0.2695205807685852, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.3051519840955734, "train_acc": 0.94, "val_loss": 0.22474178671836853, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.271726056933403, "train_acc": 0.915, "val_loss": 0.19052782654762268, "val_acc": 0.98}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.681888222694397, "final_val_loss": 0.6348165273666382, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.6210336089134216, "final_val_loss": 0.19052782654762268, "initial_val_acc": 0.84, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 7}, "improvement": 0.4, "first_improvement_epoch": 3}}
|
9,784
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.52, "improved_accuracy": 0.7, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7935, "learning_rate": 0.03367475408741129, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.024675,
-0.208998,
-0.032306,
-0.050805,
-0.462582
],
[
0.729118,
-0.22607,
0.066976,
-0.466222,
0.331009
],
[
-0.376419,
-0.185953,
0.222439,
0.320548,
0.546044
],
[
0.507292,
0.104391,
0.13065,
0.533957,
-0.36682
],
[
-0.487793,
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-0.052125,
-0.469343
]
],
"network.0.bias": [
-0.255289,
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0.279364,
-0.219736
],
"network.2.weight": [
[
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],
[
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],
[
-0.168286,
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-0.311272,
-0.211085
],
[
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0.456641,
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0.548323,
0.64245
],
[
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-0.092978,
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-0.296503
]
],
"network.2.bias": [
0.08951,
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-0.406233,
0.504985,
0.445718
],
"network.4.weight": [
[
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],
[
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0.030235,
0.526121,
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],
[
-0.401358,
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0.500055,
0.131371
],
[
0.13875,
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0.208198,
0.10217,
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],
[
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]
],
"network.4.bias": [
-0.014287,
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0.283594,
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-0.399275
],
"network.6.weight": [
[
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],
[
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0.00145,
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],
[
-0.355095,
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0.745252,
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],
[
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],
[
0.656359,
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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": [
0.186894
]
}
## Activation Signature
### 0
mean: [-1.413785, 0.601708, 0.970882, 2.066428, -0.707057]
std: [1.005814, 1.993835, 1.505198, 1.633868, 1.398813]
pca: [[-0.187623, -0.312810, -0.312498, 0.796863, 0.366471, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.825141, -0.145325, -0.200353, -0.162586, 0.481089, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.068265, 0.795206, 0.260278, 0.159240, 0.519505, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.052979, -0.424056, 0.878928, 0.106501, 0.183065, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.525806, -0.262403, -0.148136, -0.549431, 0.575198, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.085256, 17.118429, 19.163535, 22.631964, 127.240626], [30.399133, 30.659622, 31.970015, 44.055117, 54.153707], [22.900007, 23.540107, 24.044718, 24.263283, 87.379403], [24.601330, 24.982767, 28.858734, 32.010345, 185.978529], [23.354368, 23.422435, 25.782709, 32.309348, 63.635143]]
### 2
mean: [0.714620, -1.815073, -1.365705, 1.796117, 1.736703]
std: [0.852622, 1.069305, 0.773315, 1.435725, 1.126069]
pca: [[-0.026861, 0.652345, -0.110762, 0.057049, 0.747129, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.350019, -0.619838, 0.248021, -0.293684, 0.587812, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.365018, 0.066658, 0.590271, 0.715834, -0.038477, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.675611, -0.395365, -0.148246, 0.520111, 0.307805, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.535796, 0.171730, 0.745533, -0.357157, 0.007117, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.825022, 13.400831, 14.016436, 15.530395, 64.315772], [16.292704, 16.631960, 18.037290, 19.769740, 163.356590], [12.602006, 13.760651, 14.071990, 14.419139, 122.913410], [23.087564, 23.856968, 24.477117, 29.588985, 161.650504], [17.271766, 17.396817, 20.117268, 22.127606, 156.303251]]
### 4
mean: [0.043640, 0.582390, 1.123356, 0.609099, -1.348495]
std: [0.572725, 0.790368, 0.973239, 0.538465, 0.564476]
pca: [[-0.332824, -0.445327, 0.340277, -0.613915, 0.445233, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.568340, -0.016540, -0.479577, -0.080760, 0.663475, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.700155, 0.048464, 0.395191, -0.463532, -0.369320, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.271371, -0.504503, 0.492560, 0.627771, 0.187412, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.048568, 0.737929, 0.505397, 0.087336, 0.435945, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.743016, 8.785831, 9.606771, 9.870390, 12.909330], [12.355418, 12.647329, 14.438281, 17.075415, 52.415142], [15.024825, 15.476890, 17.054655, 21.271480, 101.102038], [8.477793, 8.535026, 9.546185, 10.560594, 54.818910], [8.395251, 9.204793, 9.647006, 10.761618, 121.364594]]
### 6
mean: [0.393781, 1.188846, 1.694252, -0.684942, -0.101668]
std: [0.362551, 0.954049, 1.194961, 0.400459, 0.338574]
pca: [[0.218299, -0.230255, 0.090166, 0.686933, 0.647550, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.588673, -0.247582, 0.301085, -0.624454, 0.334024, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.736753, 0.344957, 0.050812, 0.326163, -0.478786, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.244166, 0.029474, 0.946249, 0.123474, -0.169948, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.058212, 0.875113, 0.057006, -0.128652, 0.459335, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.466711, 5.737155, 6.714191, 8.401463, 35.440283], [14.314201, 14.333245, 17.659407, 21.199889, 106.996187], [18.632349, 19.487837, 21.822648, 24.372663, 152.482654], [6.164382, 6.196168, 7.863629, 8.038239, 61.644807], [5.113279, 5.296414, 6.012721, 6.139530, 9.150076]]
### 8
mean: [0.551585, 1.830542, 1.387525, -0.489849, 0.788014]
std: [0.443677, 1.287168, 1.208671, 0.232894, 0.672334]
pca: [[0.226975, 0.042440, 0.875218, 0.033043, 0.423773, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.658796, -0.499572, -0.167823, -0.530101, 0.085115, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.618924, 0.063272, -0.178828, 0.761691, -0.027893, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.119083, 0.107614, -0.409861, 0.024466, 0.897582, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.342379, 0.856179, -0.076576, -0.370311, -0.082099, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.636745, 6.889460, 8.386204, 9.058929, 49.642672], [19.485821, 20.407371, 24.104216, 26.651180, 164.748766], [17.791754, 19.005496, 22.687041, 25.337925, 124.877283], [3.583264, 3.675401, 4.376925, 4.693495, 44.086448], [9.938911, 10.181824, 12.664014, 14.418198, 70.921284]]
### 10
mean: [-1.451253]
std: [1.377324]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.152906, 21.776067, 25.785168, 27.788135, 130.612750]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.024675,
-0.208998,
-0.032306,
-0.050805,
-0.462582
],
[
0.729118,
-0.22607,
0.066976,
-0.466222,
0.331009
],
[
-0.376419,
-0.185953,
0.222439,
0.320548,
0.546044
],
[
0.507292,
0.104391,
0.13065,
0.533957,
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],
[
-0.487793,
0.364955,
0.069566,
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]
],
"network.0.bias": [
-0.255289,
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-0.047341,
0.279364,
-0.219736
],
"network.2.weight": [
[
0.260481,
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0.530753,
0.189655,
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],
[
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0.107381,
-0.492176,
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-0.152313
],
[
-0.168286,
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-0.01564,
-0.311272,
-0.211085
],
[
-0.572759,
0.456641,
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0.548323,
0.64245
],
[
-0.643925,
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]
],
"network.2.bias": [
0.08951,
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-0.406233,
0.504985,
0.445718
],
"network.4.weight": [
[
0.387558,
0.205648,
-0.378958,
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0.204345
],
[
-0.158999,
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0.030235,
0.526121,
-0.017307
],
[
-0.401358,
-0.142231,
-0.047821,
0.500055,
0.131371
],
[
0.13875,
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0.208198,
0.10217,
0.340045
],
[
-0.559871,
0.141924,
0.314173,
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-0.218847
]
],
"network.4.bias": [
-0.014287,
-0.212313,
0.283594,
-0.218626,
-0.399275
],
"network.6.weight": [
[
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0.250328,
0.109328,
-0.113544,
0.434336
],
[
-0.700891,
0.142122,
0.725527,
0.00145,
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],
[
-0.355095,
0.446567,
0.745252,
0.281925,
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],
[
-0.14668,
0.024558,
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0.304291,
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],
[
0.656359,
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0.465797,
0.190582
]
],
"network.6.bias": [
0.30908,
0.397346,
0.519689,
-0.233829,
-0.310668
],
"network.8.weight": [
[
-0.170513,
0.546757,
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],
[
0.394784,
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[
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[
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[
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]
],
"network.8.bias": [
0.014545,
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-0.206848,
-0.018405
],
"network.10.weight": [
[
-0.10886,
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-0.26613,
0.071524,
-0.456512
]
],
"network.10.bias": [
0.186894
]
}
## Activation Signature
### 0
mean: [-1.413785, 0.601708, 0.970882, 2.066428, -0.707057]
std: [1.005814, 1.993835, 1.505198, 1.633868, 1.398813]
pca: [[-0.187623, -0.312810, -0.312498, 0.796863, 0.366471, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.825141, -0.145325, -0.200353, -0.162586, 0.481089, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.068265, 0.795206, 0.260278, 0.159240, 0.519505, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.052979, -0.424056, 0.878928, 0.106501, 0.183065, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.525806, -0.262403, -0.148136, -0.549431, 0.575198, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.085256, 17.118429, 19.163535, 22.631964, 127.240626], [30.399133, 30.659622, 31.970015, 44.055117, 54.153707], [22.900007, 23.540107, 24.044718, 24.263283, 87.379403], [24.601330, 24.982767, 28.858734, 32.010345, 185.978529], [23.354368, 23.422435, 25.782709, 32.309348, 63.635143]]
### 2
mean: [0.714620, -1.815073, -1.365705, 1.796117, 1.736703]
std: [0.852622, 1.069305, 0.773315, 1.435725, 1.126069]
pca: [[-0.026861, 0.652345, -0.110762, 0.057049, 0.747129, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.350019, -0.619838, 0.248021, -0.293684, 0.587812, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.365018, 0.066658, 0.590271, 0.715834, -0.038477, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.675611, -0.395365, -0.148246, 0.520111, 0.307805, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.535796, 0.171730, 0.745533, -0.357157, 0.007117, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.825022, 13.400831, 14.016436, 15.530395, 64.315772], [16.292704, 16.631960, 18.037290, 19.769740, 163.356590], [12.602006, 13.760651, 14.071990, 14.419139, 122.913410], [23.087564, 23.856968, 24.477117, 29.588985, 161.650504], [17.271766, 17.396817, 20.117268, 22.127606, 156.303251]]
### 4
mean: [0.043640, 0.582390, 1.123356, 0.609099, -1.348495]
std: [0.572725, 0.790368, 0.973239, 0.538465, 0.564476]
pca: [[-0.332824, -0.445327, 0.340277, -0.613915, 0.445233, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.568340, -0.016540, -0.479577, -0.080760, 0.663475, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.700155, 0.048464, 0.395191, -0.463532, -0.369320, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.271371, -0.504503, 0.492560, 0.627771, 0.187412, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.048568, 0.737929, 0.505397, 0.087336, 0.435945, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.743016, 8.785831, 9.606771, 9.870390, 12.909330], [12.355418, 12.647329, 14.438281, 17.075415, 52.415142], [15.024825, 15.476890, 17.054655, 21.271480, 101.102038], [8.477793, 8.535026, 9.546185, 10.560594, 54.818910], [8.395251, 9.204793, 9.647006, 10.761618, 121.364594]]
### 6
mean: [0.393781, 1.188846, 1.694252, -0.684942, -0.101668]
std: [0.362551, 0.954049, 1.194961, 0.400459, 0.338574]
pca: [[0.218299, -0.230255, 0.090166, 0.686933, 0.647550, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.588673, -0.247582, 0.301085, -0.624454, 0.334024, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.736753, 0.344957, 0.050812, 0.326163, -0.478786, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.244166, 0.029474, 0.946249, 0.123474, -0.169948, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.058212, 0.875113, 0.057006, -0.128652, 0.459335, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.466711, 5.737155, 6.714191, 8.401463, 35.440283], [14.314201, 14.333245, 17.659407, 21.199889, 106.996187], [18.632349, 19.487837, 21.822648, 24.372663, 152.482654], [6.164382, 6.196168, 7.863629, 8.038239, 61.644807], [5.113279, 5.296414, 6.012721, 6.139530, 9.150076]]
### 8
mean: [0.551585, 1.830542, 1.387525, -0.489849, 0.788014]
std: [0.443677, 1.287168, 1.208671, 0.232894, 0.672334]
pca: [[0.226975, 0.042440, 0.875218, 0.033043, 0.423773, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.658796, -0.499572, -0.167823, -0.530101, 0.085115, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.618924, 0.063272, -0.178828, 0.761691, -0.027893, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.119083, 0.107614, -0.409861, 0.024466, 0.897582, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.342379, 0.856179, -0.076576, -0.370311, -0.082099, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.636745, 6.889460, 8.386204, 9.058929, 49.642672], [19.485821, 20.407371, 24.104216, 26.651180, 164.748766], [17.791754, 19.005496, 22.687041, 25.337925, 124.877283], [3.583264, 3.675401, 4.376925, 4.693495, 44.086448], [9.938911, 10.181824, 12.664014, 14.418198, 70.921284]]
### 10
mean: [-1.451253]
std: [1.377324]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.152906, 21.776067, 25.785168, 27.788135, 130.612750]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": -1.4137847423553467, "std": 1.0058140754699707, "pca": [-0.18762339651584625, -0.31280961632728577, -0.31249797344207764, 0.7968634366989136, 0.36647146940231323, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [15.085255851400785, 17.11842907604133, 19.163534802532283, 22.631963948020147, 127.24062636494637]}, "1": {"mean": 0.6017078757286072, "std": 1.9938346147537231, "pca": [0.8251413106918335, -0.14532458782196045, -0.20035314559936523, -0.16258572041988373, 0.48108944296836853, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [30.3991327196691, 30.659622232100407, 31.97001519495902, 44.055117170894945, 54.15370696783066]}, "2": {"mean": 0.9708823561668396, "std": 1.5051977634429932, "pca": [-0.06826455891132355, 0.7952056527137756, 0.26027825474739075, 0.15923993289470673, 0.5195053815841675, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [22.900006866577073, 23.540106511007437, 24.044718180698737, 24.263282953825552, 87.37940252572298]}, "3": {"mean": 2.0664279460906982, "std": 1.633867621421814, "pca": [0.052978891879320145, -0.42405596375465393, 0.8789281249046326, 0.10650059580802917, 0.1830650120973587, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [24.60133046528211, 24.982766595138905, 28.8587343616218, 32.0103451705084, 185.97852936387062]}, "4": {"mean": -0.7070571184158325, "std": 1.3988133668899536, "pca": [-0.5258064270019531, -0.2624031901359558, -0.14813600480556488, -0.5494313836097717, 0.575198233127594, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [23.354367968998986, 23.422435400712352, 25.782708838667578, 32.3093479165118, 63.63514342904091]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": 0.7146196961402893, "std": 0.8526217937469482, "pca": [-0.026861192658543587, 0.6523447632789612, -0.11076150834560394, 0.05704892426729202, 0.7471292614936829, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [12.82502152678966, 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0.0], "fourier": [3.583263727087867, 3.6754010804911044, 4.376924619355194, 4.6934954007453, 44.08644823729992]}, "4": {"mean": 0.7880141139030457, "std": 0.6723341941833496, "pca": [0.34237879514694214, 0.8561791181564331, -0.07657580077648163, -0.3703106641769409, -0.08209913969039917, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [9.938910710474644, 10.181824227846247, 12.664013944091666, 14.418198088163107, 70.92128394544125]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -1.4512526988983154, "std": 1.3773236274719238, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [21.15290607288491, 21.776067301532393, 25.78516753065841, 27.788134630277735, 130.6127502322197]}}, "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": [[-0.024675, -0.208998, -0.032306, -0.050805, -0.462582], [0.729118, -0.22607, 0.066976, -0.466222, 0.331009], [-0.376419, -0.185953, 0.222439, 0.320548, 0.546044], [0.507292, 0.104391, 0.13065, 0.533957, -0.36682], [-0.487793, 0.364955, 0.069566, -0.052125, -0.469343]], "network.0.bias": [-0.255289, 0.557948, -0.047341, 0.279364, -0.219736], "network.2.weight": [[0.260481, -0.294871, 0.530753, 0.189655, -0.161219], [0.431465, 0.107381, -0.492176, -0.555438, -0.152313], [-0.168286, -0.30556, -0.01564, -0.311272, -0.211085], [-0.572759, 0.456641, -0.374755, 0.548323, 0.64245], [-0.643925, -0.053945, -0.092978, 0.698445, -0.296503]], "network.2.bias": [0.08951, -0.196094, -0.406233, 0.504985, 0.445718], "network.4.weight": [[0.387558, 0.205648, -0.378958, -0.324394, 0.204345], [-0.158999, -0.177162, 0.030235, 0.526121, -0.017307], [-0.401358, -0.142231, -0.047821, 0.500055, 0.131371], [0.13875, -0.236339, 0.208198, 0.10217, 0.340045], [-0.559871, 0.141924, 0.314173, -0.095353, -0.218847]], "network.4.bias": [-0.014287, -0.212313, 0.283594, -0.218626, -0.399275], "network.6.weight": [[-0.451889, 0.250328, 0.109328, -0.113544, 0.434336], [-0.700891, 0.142122, 0.725527, 0.00145, -0.340529], [-0.355095, 0.446567, 0.745252, 0.281925, -0.377587], [-0.14668, 0.024558, -0.581651, 0.304291, -0.13307], [0.656359, -0.003947, -0.088742, 0.465797, 0.190582]], "network.6.bias": [0.30908, 0.397346, 0.519689, -0.233829, -0.310668], "network.8.weight": [[-0.170513, 0.546757, -0.018579, -0.071008, 0.047719], [0.394784, 0.439183, 0.605915, -0.37507, -0.146451], [-0.078937, 0.743119, 0.413181, -0.625768, -0.272794], [0.066933, -0.226156, -0.03252, -0.004848, -0.042022], [-0.026235, 0.654792, 0.027999, -0.28956, -0.330706]], "network.8.bias": [0.014545, 0.1988, -0.165959, -0.206848, -0.018405], "network.10.weight": [[-0.10886, -0.524387, -0.26613, 0.071524, -0.456512]], "network.10.bias": [0.186894]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7092480957508087, "train_acc": 0.435, "val_loss": 0.6908959746360779, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6805565655231476, "train_acc": 0.615, "val_loss": 0.6779800653457642, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6562353074550629, "train_acc": 0.565, "val_loss": 0.6510970592498779, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6258862316608429, "train_acc": 0.535, "val_loss": 0.6271102428436279, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5702238082885742, "train_acc": 0.78, "val_loss": 0.5612484216690063, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.49127885699272156, "train_acc": 0.755, "val_loss": 0.5364567637443542, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4738515168428421, "train_acc": 0.77, "val_loss": 0.5333564281463623, "val_acc": 0.7}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.44836579263210297, "train_acc": 0.795, "val_loss": 0.5599893927574158, "val_acc": 0.7}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4564817398786545, "train_acc": 0.8, "val_loss": 0.5352768898010254, "val_acc": 0.68}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.45954592525959015, "train_acc": 0.79, "val_loss": 0.5517078042030334, "val_acc": 0.68}], "summary": {"total_epochs": 10, "degraded_epochs": 3, "improved_epochs": 7, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6908959746360779, "final_val_loss": 0.6510970592498779, "initial_val_acc": 0.54, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.6271102428436279, "final_val_loss": 0.5517078042030334, "initial_val_acc": 0.68, "final_val_acc": 0.68, "best_val_acc": 0.7, "best_epoch": 4}, "improvement": 0.17999999999999994, "first_improvement_epoch": 2}}
|
9,785
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.54, "improved_accuracy": 0.96, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8067, "learning_rate": 0.08965221687464212, "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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"network.0.bias": [
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"network.2.weight": [
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"network.8.bias": [
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}
## Activation Signature
### 0
mean: [-0.053323, 0.277193, 1.013505, -0.391034, -1.890605]
std: [2.331543, 1.763152, 2.403347, 2.564118, 1.505634]
pca: [[0.014908, 0.832217, 0.114189, -0.066612, -0.538254, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.296303, 0.426571, -0.446791, -0.382005, 0.620235, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.638712, 0.050734, -0.213524, 0.736381, -0.040297, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.667459, -0.313412, 0.089651, -0.552069, -0.378752, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.241925, 0.157009, 0.856568, 0.050969, 0.424869, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.298769, 33.736857, 34.033211, 37.424594, 50.494192], [25.505113, 26.224775, 27.092976, 28.959002, 30.930430], [37.996761, 39.239688, 45.805082, 47.961338, 91.215493], [37.882887, 39.270453, 46.633919, 48.221305, 52.591356], [21.576129, 22.829002, 27.524332, 28.953624, 170.154444]]
### 2
mean: [-3.738715, 4.618813, 3.713595, -2.136934, -2.032646]
std: [2.248875, 3.781262, 3.046473, 1.998954, 1.313617]
pca: [[-0.370294, 0.645641, 0.653896, -0.096649, -0.095438, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.650169, 0.572555, -0.247879, 0.077943, -0.426547, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.528692, 0.120044, 0.281316, -0.096426, 0.785899, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.334435, 0.417273, -0.622908, -0.468237, 0.326767, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.220907, 0.258459, -0.209341, 0.869506, 0.290749, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.015111, 37.533851, 41.547420, 42.673633, 336.484319], [60.078415, 60.858381, 63.892311, 70.093748, 415.693105], [47.143129, 47.257202, 48.772282, 61.122790, 334.223488], [30.142483, 31.702627, 32.061006, 41.606545, 192.324079], [18.771282, 21.089110, 21.971049, 29.187148, 182.938152]]
### 4
mean: [-2.603649, -4.039469, -8.415609, 8.092766, 0.105040]
std: [2.294294, 3.567628, 6.010818, 6.635123, 0.663416]
pca: [[-0.231069, 0.191427, -0.415169, 0.839735, 0.180117, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.359395, 0.292564, 0.244058, -0.221366, 0.822602, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.605724, -0.069599, 0.655937, 0.252131, -0.366648, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.668608, 0.240300, 0.573701, 0.382923, 0.139485, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.059195, 0.902870, -0.093187, -0.188790, -0.370131, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.490861, 35.532356, 37.076465, 45.542835, 234.328369], [53.928916, 55.302459, 57.999889, 71.076285, 363.552225], [90.594451, 93.942065, 98.503262, 117.620180, 757.404861], [101.347542, 103.635599, 109.611956, 129.270470, 728.348939], [10.342918, 10.638350, 10.650673, 11.142070, 14.932786]]
### 6
mean: [-1.828269, -2.032766, 6.070567, -1.956275, 11.216031]
std: [2.093820, 2.464839, 5.153325, 1.989147, 9.034616]
pca: [[-0.188758, 0.584662, -0.384239, 0.341006, -0.598846, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.222243, 0.609334, 0.743090, -0.063488, 0.152010, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.465530, 0.004980, 0.158997, 0.838672, 0.233680, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.179482, 0.376343, -0.516389, -0.013092, 0.747879, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.816117, 0.381082, -0.090774, -0.419693, -0.065931, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.486685, 34.206403, 35.099675, 41.283245, 164.544180], [37.740003, 38.894348, 41.253246, 49.290457, 182.948963], [79.296512, 80.792798, 85.273029, 100.203304, 546.351071], [31.086390, 32.140005, 33.223262, 38.900953, 176.064766], [137.787671, 141.713823, 149.131679, 175.333513, 1009.442785]]
### 8
mean: [-15.413051]
std: [13.432941]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[207.770776, 210.329230, 222.593323, 261.701452, 1387.174604]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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:
{
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0.123828,
-0.561521,
1.064817
],
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-0.061397,
0.203568,
0.820109
],
[
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0.036391
],
[
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"network.2.weight": [
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## Activation Signature
### 0
mean: [-0.053323, 0.277193, 1.013505, -0.391034, -1.890605]
std: [2.331543, 1.763152, 2.403347, 2.564118, 1.505634]
pca: [[0.014908, 0.832217, 0.114189, -0.066612, -0.538254, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.296303, 0.426571, -0.446791, -0.382005, 0.620235, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.638712, 0.050734, -0.213524, 0.736381, -0.040297, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.667459, -0.313412, 0.089651, -0.552069, -0.378752, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.241925, 0.157009, 0.856568, 0.050969, 0.424869, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.298769, 33.736857, 34.033211, 37.424594, 50.494192], [25.505113, 26.224775, 27.092976, 28.959002, 30.930430], [37.996761, 39.239688, 45.805082, 47.961338, 91.215493], [37.882887, 39.270453, 46.633919, 48.221305, 52.591356], [21.576129, 22.829002, 27.524332, 28.953624, 170.154444]]
### 2
mean: [-3.738715, 4.618813, 3.713595, -2.136934, -2.032646]
std: [2.248875, 3.781262, 3.046473, 1.998954, 1.313617]
pca: [[-0.370294, 0.645641, 0.653896, -0.096649, -0.095438, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.650169, 0.572555, -0.247879, 0.077943, -0.426547, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.528692, 0.120044, 0.281316, -0.096426, 0.785899, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.334435, 0.417273, -0.622908, -0.468237, 0.326767, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.220907, 0.258459, -0.209341, 0.869506, 0.290749, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.015111, 37.533851, 41.547420, 42.673633, 336.484319], [60.078415, 60.858381, 63.892311, 70.093748, 415.693105], [47.143129, 47.257202, 48.772282, 61.122790, 334.223488], [30.142483, 31.702627, 32.061006, 41.606545, 192.324079], [18.771282, 21.089110, 21.971049, 29.187148, 182.938152]]
### 4
mean: [-2.603649, -4.039469, -8.415609, 8.092766, 0.105040]
std: [2.294294, 3.567628, 6.010818, 6.635123, 0.663416]
pca: [[-0.231069, 0.191427, -0.415169, 0.839735, 0.180117, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.359395, 0.292564, 0.244058, -0.221366, 0.822602, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.605724, -0.069599, 0.655937, 0.252131, -0.366648, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.668608, 0.240300, 0.573701, 0.382923, 0.139485, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.059195, 0.902870, -0.093187, -0.188790, -0.370131, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.490861, 35.532356, 37.076465, 45.542835, 234.328369], [53.928916, 55.302459, 57.999889, 71.076285, 363.552225], [90.594451, 93.942065, 98.503262, 117.620180, 757.404861], [101.347542, 103.635599, 109.611956, 129.270470, 728.348939], [10.342918, 10.638350, 10.650673, 11.142070, 14.932786]]
### 6
mean: [-1.828269, -2.032766, 6.070567, -1.956275, 11.216031]
std: [2.093820, 2.464839, 5.153325, 1.989147, 9.034616]
pca: [[-0.188758, 0.584662, -0.384239, 0.341006, -0.598846, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.222243, 0.609334, 0.743090, -0.063488, 0.152010, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.465530, 0.004980, 0.158997, 0.838672, 0.233680, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.179482, 0.376343, -0.516389, -0.013092, 0.747879, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.816117, 0.381082, -0.090774, -0.419693, -0.065931, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.486685, 34.206403, 35.099675, 41.283245, 164.544180], [37.740003, 38.894348, 41.253246, 49.290457, 182.948963], [79.296512, 80.792798, 85.273029, 100.203304, 546.351071], [31.086390, 32.140005, 33.223262, 38.900953, 176.064766], [137.787671, 141.713823, 149.131679, 175.333513, 1009.442785]]
### 8
mean: [-15.413051]
std: [13.432941]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[207.770776, 210.329230, 222.593323, 261.701452, 1387.174604]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 0.6912426352500916, "train_acc": 0.57, "val_loss": 0.6639258861541748, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6541332602500916, "train_acc": 0.57, "val_loss": 0.5361081957817078, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5198259204626083, "train_acc": 0.63, "val_loss": 0.3982038199901581, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.39071024954319, "train_acc": 0.88, "val_loss": 0.4127810299396515, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3157107084989548, "train_acc": 0.93, "val_loss": 0.19181525707244873, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2995034530758858, "train_acc": 0.905, "val_loss": 0.30645111203193665, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.22893326729536057, "train_acc": 0.93, "val_loss": 0.19046123325824738, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.18181392550468445, "train_acc": 0.94, "val_loss": 0.18843147158622742, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.23034431040287018, "train_acc": 0.945, "val_loss": 0.17129257321357727, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.17977360635995865, "train_acc": 0.945, "val_loss": 0.1663418412208557, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.1607905551791191, "train_acc": 0.95, "val_loss": 0.16707086563110352, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.1471557468175888, "train_acc": 0.95, "val_loss": 0.17030301690101624, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6639258861541748, "final_val_loss": 0.5361081957817078, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.3982038199901581, "final_val_loss": 0.17030301690101624, "initial_val_acc": 0.88, "final_val_acc": 0.94, "best_val_acc": 0.96, "best_epoch": 8}, "improvement": 0.41999999999999993, "first_improvement_epoch": 1}}
|
9,786
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.5, "improved_accuracy": 0.92, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4782, "learning_rate": 0.03871887554839802, "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: [-0.932594, 1.510290, -1.951615, 0.959435, 1.074418, -0.253327]
std: [2.205205, 2.159309, 1.256403, 1.670589, 1.637677, 1.629844]
pca: [[0.503420, -0.530883, 0.606381, -0.273432, -0.149042, -0.007434, 0.000000, 0.000000, 0.000000, 0.000000], [0.577443, 0.426941, -0.179123, 0.096435, -0.451622, -0.488809, 0.000000, 0.000000, 0.000000, 0.000000], [-0.101699, -0.286174, 0.221111, 0.899229, -0.063567, -0.214983, 0.000000, 0.000000, 0.000000, 0.000000], [0.419918, 0.273022, 0.157602, 0.138247, 0.836894, -0.069179, 0.000000, 0.000000, 0.000000, 0.000000], [0.452901, -0.074433, -0.334441, 0.283389, -0.123741, 0.762803, 0.000000, 0.000000, 0.000000, 0.000000], [-0.146066, 0.611480, 0.643923, 0.088887, -0.232551, 0.357964, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.696645, 36.237181, 37.310289, 43.823162, 83.933441], [33.286254, 33.468112, 34.458352, 36.828956, 135.926128], [20.227600, 20.872351, 23.681058, 24.139899, 175.645323], [26.039300, 28.199475, 30.984064, 33.825370, 86.349109], [26.499800, 28.091061, 28.338573, 36.458032, 96.697574], [24.405559, 24.500689, 25.519445, 26.147451, 29.287504]]
### 2
mean: [-0.700150, 3.346009, 3.156681, 0.316643, 1.854843, 0.211882]
std: [1.456073, 3.615639, 3.388458, 0.807163, 1.383825, 1.087520]
pca: [[-0.258287, -0.272308, -0.542571, 0.459793, 0.560092, -0.199097, 0.000000, 0.000000, 0.000000, 0.000000], [0.671076, -0.325246, -0.003958, 0.036063, 0.324363, 0.580814, 0.000000, 0.000000, 0.000000, 0.000000], [0.628313, 0.231446, -0.518158, 0.056156, -0.300585, -0.435502, 0.000000, 0.000000, 0.000000, 0.000000], [0.002607, 0.687844, -0.140007, -0.415233, 0.571994, 0.087559, 0.000000, 0.000000, 0.000000, 0.000000], [0.239406, 0.322323, 0.583449, 0.610635, 0.237621, -0.262756, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175629, 0.435287, -0.277665, 0.488715, -0.327252, 0.597198, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.104152, 25.010712, 26.702443, 27.321705, 63.013491], [55.616014, 63.229540, 63.357525, 66.017865, 301.140835], [54.943906, 55.906738, 56.655983, 57.020915, 284.101300], [12.226201, 12.356441, 13.190537, 15.009571, 28.497907], [21.157540, 21.740755, 22.999434, 25.161476, 166.935912], [15.464995, 18.188969, 19.069384, 21.693947, 22.863794]]
### 4
mean: [4.604190, 1.015071, -0.807967, 0.663227, 1.044374, 3.786976]
std: [4.938259, 1.028312, 0.302354, 0.881853, 0.927841, 3.736729]
pca: [[0.784902, -0.217503, 0.226563, -0.127584, 0.169812, -0.490078, 0.000000, 0.000000, 0.000000, 0.000000], [-0.114022, 0.583156, 0.406592, 0.104780, 0.684645, -0.043509, 0.000000, 0.000000, 0.000000, 0.000000], [-0.044830, 0.035740, -0.127873, 0.887485, -0.124543, -0.420975, 0.000000, 0.000000, 0.000000, 0.000000], [-0.126050, 0.226511, 0.705462, -0.084412, -0.630952, -0.172924, 0.000000, 0.000000, 0.000000, 0.000000], [0.068412, 0.645789, -0.518511, -0.318859, -0.207721, -0.405714, 0.000000, 0.000000, 0.000000, 0.000000], [0.590211, 0.378145, -0.021697, 0.276254, -0.213696, 0.621453, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[79.589204, 80.911098, 81.414688, 86.099463, 414.377051], [16.437394, 16.824395, 19.108163, 19.440059, 91.356351], [4.741245, 4.788662, 5.326499, 5.601359, 72.717078], [13.573857, 14.884351, 14.924087, 16.946013, 59.690403], [14.173817, 14.699594, 14.723283, 16.286604, 93.993692], [59.210958, 60.610693, 63.135667, 65.163433, 340.827842]]
### 6
mean: [5.907342, -1.572521, -1.885064, 4.247778, -2.590713, 6.557895]
std: [6.295694, 0.704743, 1.744573, 5.751776, 4.704870, 6.825222]
pca: [[0.524243, -0.282813, 0.200075, -0.107831, 0.349716, 0.686460, 0.000000, 0.000000, 0.000000, 0.000000], [-0.040193, 0.549354, -0.228951, -0.240557, 0.759053, -0.100734, 0.000000, 0.000000, 0.000000, 0.000000], [-0.145291, -0.016811, -0.117712, 0.930178, 0.282414, 0.140579, 0.000000, 0.000000, 0.000000, 0.000000], [0.476239, 0.718930, -0.052669, 0.181236, -0.427770, 0.194238, 0.000000, 0.000000, 0.000000, 0.000000], [-0.390245, 0.301921, 0.854896, 0.016119, 0.044136, 0.153293, 0.000000, 0.000000, 0.000000, 0.000000], [0.568639, -0.099640, 0.400094, 0.179351, 0.191949, -0.661540, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[99.157061, 105.153442, 105.465924, 107.993929, 531.660753], [10.956349, 11.538600, 13.123773, 13.409884, 141.526867], [27.052758, 29.324310, 29.505909, 29.608109, 169.655759], [91.221104, 91.329363, 95.093822, 104.219291, 382.300050], [77.869256, 78.645047, 79.038416, 81.421314, 233.164152], [106.274567, 113.294835, 115.007784, 116.329330, 590.210571]]
### 8
mean: [-9.003315]
std: [11.215493]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[177.376440, 179.580620, 186.494576, 197.813246, 810.298270]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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-0.193163,
0.299707,
0.502781,
-0.144113
],
"network.8.weight": [
[
-0.33288,
0.110625,
-0.263244,
-0.873271,
0.82692,
-0.571454
]
],
"network.8.bias": [
0.142343
]
}
## Activation Signature
### 0
mean: [-0.932594, 1.510290, -1.951615, 0.959435, 1.074418, -0.253327]
std: [2.205205, 2.159309, 1.256403, 1.670589, 1.637677, 1.629844]
pca: [[0.503420, -0.530883, 0.606381, -0.273432, -0.149042, -0.007434, 0.000000, 0.000000, 0.000000, 0.000000], [0.577443, 0.426941, -0.179123, 0.096435, -0.451622, -0.488809, 0.000000, 0.000000, 0.000000, 0.000000], [-0.101699, -0.286174, 0.221111, 0.899229, -0.063567, -0.214983, 0.000000, 0.000000, 0.000000, 0.000000], [0.419918, 0.273022, 0.157602, 0.138247, 0.836894, -0.069179, 0.000000, 0.000000, 0.000000, 0.000000], [0.452901, -0.074433, -0.334441, 0.283389, -0.123741, 0.762803, 0.000000, 0.000000, 0.000000, 0.000000], [-0.146066, 0.611480, 0.643923, 0.088887, -0.232551, 0.357964, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.696645, 36.237181, 37.310289, 43.823162, 83.933441], [33.286254, 33.468112, 34.458352, 36.828956, 135.926128], [20.227600, 20.872351, 23.681058, 24.139899, 175.645323], [26.039300, 28.199475, 30.984064, 33.825370, 86.349109], [26.499800, 28.091061, 28.338573, 36.458032, 96.697574], [24.405559, 24.500689, 25.519445, 26.147451, 29.287504]]
### 2
mean: [-0.700150, 3.346009, 3.156681, 0.316643, 1.854843, 0.211882]
std: [1.456073, 3.615639, 3.388458, 0.807163, 1.383825, 1.087520]
pca: [[-0.258287, -0.272308, -0.542571, 0.459793, 0.560092, -0.199097, 0.000000, 0.000000, 0.000000, 0.000000], [0.671076, -0.325246, -0.003958, 0.036063, 0.324363, 0.580814, 0.000000, 0.000000, 0.000000, 0.000000], [0.628313, 0.231446, -0.518158, 0.056156, -0.300585, -0.435502, 0.000000, 0.000000, 0.000000, 0.000000], [0.002607, 0.687844, -0.140007, -0.415233, 0.571994, 0.087559, 0.000000, 0.000000, 0.000000, 0.000000], [0.239406, 0.322323, 0.583449, 0.610635, 0.237621, -0.262756, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175629, 0.435287, -0.277665, 0.488715, -0.327252, 0.597198, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.104152, 25.010712, 26.702443, 27.321705, 63.013491], [55.616014, 63.229540, 63.357525, 66.017865, 301.140835], [54.943906, 55.906738, 56.655983, 57.020915, 284.101300], [12.226201, 12.356441, 13.190537, 15.009571, 28.497907], [21.157540, 21.740755, 22.999434, 25.161476, 166.935912], [15.464995, 18.188969, 19.069384, 21.693947, 22.863794]]
### 4
mean: [4.604190, 1.015071, -0.807967, 0.663227, 1.044374, 3.786976]
std: [4.938259, 1.028312, 0.302354, 0.881853, 0.927841, 3.736729]
pca: [[0.784902, -0.217503, 0.226563, -0.127584, 0.169812, -0.490078, 0.000000, 0.000000, 0.000000, 0.000000], [-0.114022, 0.583156, 0.406592, 0.104780, 0.684645, -0.043509, 0.000000, 0.000000, 0.000000, 0.000000], [-0.044830, 0.035740, -0.127873, 0.887485, -0.124543, -0.420975, 0.000000, 0.000000, 0.000000, 0.000000], [-0.126050, 0.226511, 0.705462, -0.084412, -0.630952, -0.172924, 0.000000, 0.000000, 0.000000, 0.000000], [0.068412, 0.645789, -0.518511, -0.318859, -0.207721, -0.405714, 0.000000, 0.000000, 0.000000, 0.000000], [0.590211, 0.378145, -0.021697, 0.276254, -0.213696, 0.621453, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[79.589204, 80.911098, 81.414688, 86.099463, 414.377051], [16.437394, 16.824395, 19.108163, 19.440059, 91.356351], [4.741245, 4.788662, 5.326499, 5.601359, 72.717078], [13.573857, 14.884351, 14.924087, 16.946013, 59.690403], [14.173817, 14.699594, 14.723283, 16.286604, 93.993692], [59.210958, 60.610693, 63.135667, 65.163433, 340.827842]]
### 6
mean: [5.907342, -1.572521, -1.885064, 4.247778, -2.590713, 6.557895]
std: [6.295694, 0.704743, 1.744573, 5.751776, 4.704870, 6.825222]
pca: [[0.524243, -0.282813, 0.200075, -0.107831, 0.349716, 0.686460, 0.000000, 0.000000, 0.000000, 0.000000], [-0.040193, 0.549354, -0.228951, -0.240557, 0.759053, -0.100734, 0.000000, 0.000000, 0.000000, 0.000000], [-0.145291, -0.016811, -0.117712, 0.930178, 0.282414, 0.140579, 0.000000, 0.000000, 0.000000, 0.000000], [0.476239, 0.718930, -0.052669, 0.181236, -0.427770, 0.194238, 0.000000, 0.000000, 0.000000, 0.000000], [-0.390245, 0.301921, 0.854896, 0.016119, 0.044136, 0.153293, 0.000000, 0.000000, 0.000000, 0.000000], [0.568639, -0.099640, 0.400094, 0.179351, 0.191949, -0.661540, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[99.157061, 105.153442, 105.465924, 107.993929, 531.660753], [10.956349, 11.538600, 13.123773, 13.409884, 141.526867], [27.052758, 29.324310, 29.505909, 29.608109, 169.655759], [91.221104, 91.329363, 95.093822, 104.219291, 382.300050], [77.869256, 78.645047, 79.038416, 81.421314, 233.164152], [106.274567, 113.294835, 115.007784, 116.329330, 590.210571]]
### 8
mean: [-9.003315]
std: [11.215493]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[177.376440, 179.580620, 186.494576, 197.813246, 810.298270]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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"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": [[0.812589, -0.13255, -0.691905, 0.298824, -0.750204], [0.739515, 0.719976, -0.300397, -0.181785, 0.007661], [-0.323658, 0.041382, -0.000629, -0.382903, -0.317965], [0.739561, 0.083626, 0.130318, -0.029479, -0.369512], [0.348124, 0.651917, -0.193886, -0.01426, -0.372694], [0.233415, -0.367795, 0.013399, -0.447294, 0.526704]], "network.0.bias": [0.027473, 0.285924, -0.409664, 0.133433, 0.348502, 0.40801], "network.2.weight": [[-0.399022, 0.004714, -0.111214, -0.578486, -0.268008, -0.448822], [0.679045, 0.785339, -0.007522, 0.465149, 0.762282, 0.034738], [0.168895, 0.715755, 0.346951, 0.576336, 0.829949, 0.696221], [-0.335063, 0.089119, -0.017456, 0.322416, -0.302536, 0.592554], [0.65074, 0.349545, 0.112488, 0.013089, 0.119151, 0.616187], [-0.334819, -0.099475, -0.276635, -0.266501, -0.128775, 0.508499]], "network.2.bias": [0.678904, 0.252867, -0.132048, 0.039187, 0.521356, 0.735638], "network.4.weight": [[-0.480649, 0.531142, 0.816507, 0.181201, 0.175695, 0.038922], [0.666954, -0.018374, -0.326019, 0.274495, 0.504606, 0.757416], [-0.14233, -0.318387, 0.124228, -0.048888, 0.236111, -0.462343], [0.559956, -0.092491, -0.218282, -0.450522, 0.436905, 0.788569], [-0.578913, -0.177838, 0.234017, 0.652176, 0.176373, 0.45505], [-0.633799, 0.043813, 0.811614, 0.418825, 0.577752, 0.276229]], "network.4.bias": [-0.109756, 0.540448, -0.274895, 0.526909, 0.121598, -0.239049], "network.6.weight": [[0.5912, -0.097182, 0.180972, -0.04296, 0.325553, 0.851443], [-0.172215, -0.582989, -0.281363, -0.083332, -0.221094, 0.036444], [-0.230091, 0.389913, -0.154463, -0.369005, -0.265148, -0.129492], [0.817853, -0.532363, 0.034119, -0.515332, 0.027182, 0.312271], [-0.094715, 0.672549, 0.02606, 0.749368, -0.791935, -0.847915], [0.809384, 0.068095, -0.395179, -0.085662, 0.141393, 0.744923]], "network.6.bias": [-0.234395, 0.041413, -0.193163, 0.299707, 0.502781, -0.144113], "network.8.weight": [[-0.33288, 0.110625, -0.263244, -0.873271, 0.82692, -0.571454]], "network.8.bias": [0.142343]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6839474439620972, "train_acc": 0.585, "val_loss": 0.6943298578262329, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6707418859004974, "train_acc": 0.585, "val_loss": 0.6710836887359619, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6263115704059601, "train_acc": 0.585, "val_loss": 0.6110615730285645, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5888395607471466, "train_acc": 0.5, "val_loss": 0.5401177406311035, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.49521178007125854, "train_acc": 0.8, "val_loss": 0.4563745856285095, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.41135096549987793, "train_acc": 0.85, "val_loss": 0.3748115301132202, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3575679063796997, "train_acc": 0.895, "val_loss": 0.33977892994880676, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.28560805320739746, "train_acc": 0.925, "val_loss": 0.3098539412021637, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.24859873950481415, "train_acc": 0.905, "val_loss": 0.26094532012939453, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.22599763423204422, "train_acc": 0.93, "val_loss": 0.26848194003105164, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.1824597641825676, "train_acc": 0.935, "val_loss": 0.28100937604904175, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.1806490495800972, "train_acc": 0.945, "val_loss": 0.2855893671512604, "val_acc": 0.92}], "summary": {"total_epochs": 12, "degraded_epochs": 3, "improved_epochs": 9, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6943298578262329, "final_val_loss": 0.6110615730285645, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5401177406311035, "final_val_loss": 0.2855893671512604, "initial_val_acc": 0.72, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 8}, "improvement": 0.42000000000000004, "first_improvement_epoch": 2}}
|
9,787
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.4, "improved_accuracy": 0.88, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5845, "learning_rate": 0.08479917665587623, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [-1.076748, -1.239699, 4.281611, 0.514208, -3.279838]
std: [3.156567, 1.942501, 3.475749, 3.184292, 2.135131]
pca: [[-0.536825, 0.037465, -0.496817, 0.658306, 0.173846, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.271824, -0.209991, 0.613789, 0.066618, 0.707701, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.597821, 0.341347, -0.352224, 0.035068, 0.633088, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.452456, 0.801676, 0.058950, -0.383043, 0.049020, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.275363, -0.441925, -0.498898, -0.643618, 0.256385, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.556131, 55.236507, 57.869324, 68.294766, 96.907336], [29.032446, 31.155870, 36.398467, 38.576245, 111.572949], [54.585995, 58.711691, 64.283979, 65.035407, 385.344962], [48.157599, 49.223866, 52.090857, 55.666044, 57.170568], [34.728455, 35.405809, 40.355514, 43.458453, 295.185426]]
### 2
mean: [-1.401243, -1.071196, 4.104078, 2.195525, 1.210652]
std: [0.697983, 0.557438, 4.355508, 3.226560, 1.643385]
pca: [[-0.013892, -0.498840, -0.481668, 0.716907, -0.070761, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.014480, -0.425528, 0.076151, -0.157014, 0.887842, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.780491, 0.162018, -0.551426, -0.235664, 0.070543, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.576740, 0.084788, 0.634651, 0.503066, 0.065763, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.240419, 0.732562, -0.235257, 0.390869, 0.444328, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.634847, 9.653277, 10.297341, 12.080498, 126.111875], [8.318490, 8.494551, 8.725238, 8.992762, 96.407611], [66.069981, 66.294104, 72.914301, 86.381956, 369.367029], [49.008064, 50.058932, 54.310880, 65.630637, 197.597293], [24.093137, 24.417156, 26.992565, 37.903752, 108.958640]]
### 4
mean: [-1.931069, 7.209533, 0.325564, -1.945914, -1.487554]
std: [0.935261, 7.075098, 1.851180, 1.182946, 0.571719]
pca: [[-0.109679, -0.421584, 0.666364, -0.471238, 0.379647, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.954849, 0.049905, 0.040889, 0.023785, 0.289026, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.226718, 0.718202, 0.241819, 0.213963, 0.573174, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.151792, -0.331210, -0.656491, -0.067320, 0.657075, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.042344, -0.440752, 0.254620, 0.852676, 0.109802, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.190740, 15.455240, 18.593263, 19.068492, 173.796188], [109.417027, 116.333495, 122.026791, 128.852698, 648.857926], [24.545518, 29.300743, 29.525179, 30.761306, 41.972125], [18.796376, 20.025007, 21.467304, 22.066426, 175.132281], [8.666699, 10.065293, 10.556203, 12.089663, 133.879872]]
### 6
mean: [-7.046330, 3.902792, -4.108035, 4.015787, 4.408844]
std: [6.504673, 4.063138, 3.745848, 4.231317, 4.675043]
pca: [[0.613425, 0.455845, -0.506409, -0.332649, -0.220926, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.382702, 0.434291, -0.479021, 0.657326, -0.058245, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.352072, 0.562008, 0.577990, 0.288373, 0.378101, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.399109, 0.265681, -0.213675, -0.502755, 0.686809, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.440461, 0.466001, 0.366551, -0.348347, -0.577176, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[103.593805, 108.480256, 112.577910, 113.137263, 634.169619], [61.819902, 67.364192, 68.103270, 77.218626, 351.251265], [61.931203, 62.164095, 62.392961, 65.547839, 369.723135], [64.806269, 70.334065, 71.563806, 78.799743, 361.420815], [71.210539, 77.545942, 78.478838, 88.559969, 396.796016]]
### 8
mean: [-5.322176, 10.563529, -3.999450, -4.386637, 5.731587]
std: [5.024577, 10.388221, 3.381009, 4.080087, 5.445826]
pca: [[-0.363664, -0.262455, 0.364689, 0.478109, 0.661271, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.751870, 0.247173, 0.009172, -0.126423, 0.597938, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.244703, 0.671246, 0.647501, -0.262770, -0.035268, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.295302, 0.624649, -0.617046, 0.324518, 0.191187, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.394154, 0.171071, 0.258678, 0.762279, -0.409139, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[79.644302, 84.051450, 86.639569, 87.497965, 478.995833], [164.566987, 173.814049, 179.059882, 181.017825, 950.717722], [53.339459, 56.659054, 58.122459, 59.174581, 359.950460], [64.416715, 68.355183, 70.175849, 71.357879, 394.797308], [86.276809, 91.116436, 93.874730, 94.894789, 515.842845]]
### 10
mean: [-6.074031, -3.245740, 9.252664, -0.088102, 2.705470]
std: [5.744881, 2.601581, 9.258563, 0.977064, 2.782140]
pca: [[-0.495935, -0.017857, 0.844219, -0.191021, 0.067343, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.224584, -0.552572, 0.004082, 0.751830, 0.281002, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.799259, -0.166433, 0.520450, 0.178970, -0.174892, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.084340, 0.770276, 0.115407, 0.600358, -0.160664, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.240172, 0.270778, 0.055601, -0.076174, 0.927417, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[91.247730, 96.006131, 99.148042, 99.696589, 546.662868], [41.254791, 43.509477, 44.865513, 45.265720, 292.116604], [147.079966, 154.713768, 159.800696, 160.631640, 832.739739], [14.836816, 15.611408, 16.280765, 16.788975, 16.908664], [44.156744, 46.510237, 47.998973, 48.339271, 243.492285]]
### 12
mean: [-5.222942]
std: [5.845789]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[92.868155, 96.729287, 101.544360, 102.383538, 470.064807]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.170016,
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],
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0.56444
],
[
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0.540778,
0.406071,
-0.830624
],
[
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-0.355906,
0.605102,
0.498451,
0.513865
],
[
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]
],
"network.0.bias": [
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0.541952,
0.892455,
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],
"network.2.weight": [
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0.345771
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[
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}
## Activation Signature
### 0
mean: [-1.076748, -1.239699, 4.281611, 0.514208, -3.279838]
std: [3.156567, 1.942501, 3.475749, 3.184292, 2.135131]
pca: [[-0.536825, 0.037465, -0.496817, 0.658306, 0.173846, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.271824, -0.209991, 0.613789, 0.066618, 0.707701, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.597821, 0.341347, -0.352224, 0.035068, 0.633088, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.452456, 0.801676, 0.058950, -0.383043, 0.049020, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.275363, -0.441925, -0.498898, -0.643618, 0.256385, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.556131, 55.236507, 57.869324, 68.294766, 96.907336], [29.032446, 31.155870, 36.398467, 38.576245, 111.572949], [54.585995, 58.711691, 64.283979, 65.035407, 385.344962], [48.157599, 49.223866, 52.090857, 55.666044, 57.170568], [34.728455, 35.405809, 40.355514, 43.458453, 295.185426]]
### 2
mean: [-1.401243, -1.071196, 4.104078, 2.195525, 1.210652]
std: [0.697983, 0.557438, 4.355508, 3.226560, 1.643385]
pca: [[-0.013892, -0.498840, -0.481668, 0.716907, -0.070761, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.014480, -0.425528, 0.076151, -0.157014, 0.887842, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.780491, 0.162018, -0.551426, -0.235664, 0.070543, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.576740, 0.084788, 0.634651, 0.503066, 0.065763, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.240419, 0.732562, -0.235257, 0.390869, 0.444328, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.634847, 9.653277, 10.297341, 12.080498, 126.111875], [8.318490, 8.494551, 8.725238, 8.992762, 96.407611], [66.069981, 66.294104, 72.914301, 86.381956, 369.367029], [49.008064, 50.058932, 54.310880, 65.630637, 197.597293], [24.093137, 24.417156, 26.992565, 37.903752, 108.958640]]
### 4
mean: [-1.931069, 7.209533, 0.325564, -1.945914, -1.487554]
std: [0.935261, 7.075098, 1.851180, 1.182946, 0.571719]
pca: [[-0.109679, -0.421584, 0.666364, -0.471238, 0.379647, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.954849, 0.049905, 0.040889, 0.023785, 0.289026, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.226718, 0.718202, 0.241819, 0.213963, 0.573174, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.151792, -0.331210, -0.656491, -0.067320, 0.657075, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.042344, -0.440752, 0.254620, 0.852676, 0.109802, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.190740, 15.455240, 18.593263, 19.068492, 173.796188], [109.417027, 116.333495, 122.026791, 128.852698, 648.857926], [24.545518, 29.300743, 29.525179, 30.761306, 41.972125], [18.796376, 20.025007, 21.467304, 22.066426, 175.132281], [8.666699, 10.065293, 10.556203, 12.089663, 133.879872]]
### 6
mean: [-7.046330, 3.902792, -4.108035, 4.015787, 4.408844]
std: [6.504673, 4.063138, 3.745848, 4.231317, 4.675043]
pca: [[0.613425, 0.455845, -0.506409, -0.332649, -0.220926, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.382702, 0.434291, -0.479021, 0.657326, -0.058245, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.352072, 0.562008, 0.577990, 0.288373, 0.378101, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.399109, 0.265681, -0.213675, -0.502755, 0.686809, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.440461, 0.466001, 0.366551, -0.348347, -0.577176, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[103.593805, 108.480256, 112.577910, 113.137263, 634.169619], [61.819902, 67.364192, 68.103270, 77.218626, 351.251265], [61.931203, 62.164095, 62.392961, 65.547839, 369.723135], [64.806269, 70.334065, 71.563806, 78.799743, 361.420815], [71.210539, 77.545942, 78.478838, 88.559969, 396.796016]]
### 8
mean: [-5.322176, 10.563529, -3.999450, -4.386637, 5.731587]
std: [5.024577, 10.388221, 3.381009, 4.080087, 5.445826]
pca: [[-0.363664, -0.262455, 0.364689, 0.478109, 0.661271, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.751870, 0.247173, 0.009172, -0.126423, 0.597938, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.244703, 0.671246, 0.647501, -0.262770, -0.035268, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.295302, 0.624649, -0.617046, 0.324518, 0.191187, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.394154, 0.171071, 0.258678, 0.762279, -0.409139, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[79.644302, 84.051450, 86.639569, 87.497965, 478.995833], [164.566987, 173.814049, 179.059882, 181.017825, 950.717722], [53.339459, 56.659054, 58.122459, 59.174581, 359.950460], [64.416715, 68.355183, 70.175849, 71.357879, 394.797308], [86.276809, 91.116436, 93.874730, 94.894789, 515.842845]]
### 10
mean: [-6.074031, -3.245740, 9.252664, -0.088102, 2.705470]
std: [5.744881, 2.601581, 9.258563, 0.977064, 2.782140]
pca: [[-0.495935, -0.017857, 0.844219, -0.191021, 0.067343, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.224584, -0.552572, 0.004082, 0.751830, 0.281002, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.799259, -0.166433, 0.520450, 0.178970, -0.174892, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.084340, 0.770276, 0.115407, 0.600358, -0.160664, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.240172, 0.270778, 0.055601, -0.076174, 0.927417, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[91.247730, 96.006131, 99.148042, 99.696589, 546.662868], [41.254791, 43.509477, 44.865513, 45.265720, 292.116604], [147.079966, 154.713768, 159.800696, 160.631640, 832.739739], [14.836816, 15.611408, 16.280765, 16.788975, 16.908664], [44.156744, 46.510237, 47.998973, 48.339271, 243.492285]]
### 12
mean: [-5.222942]
std: [5.845789]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[92.868155, 96.729287, 101.544360, 102.383538, 470.064807]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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"fourier": [41.254791158939966, 43.509476536860454, 44.86551316054254, 45.26572003599404, 292.11660397052765]}, "2": {"mean": 9.252663612365723, "std": 9.258563041687012, "pca": [0.7992589473724365, -0.16643312573432922, 0.5204495787620544, 0.17896999418735504, -0.1748918741941452, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [147.07996625657412, 154.71376756063472, 159.80069597707075, 160.63163993373118, 832.7397386729717]}, "3": {"mean": -0.08810222148895264, "std": 0.9770642518997192, "pca": [-0.08433951437473297, 0.7702760696411133, 0.11540719121694565, 0.6003581285476685, -0.16066408157348633, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [14.836815631354458, 15.611407943796836, 16.28076456759716, 16.788974956522388, 16.908663985304784]}, "4": {"mean": 2.705469846725464, "std": 2.7821402549743652, "pca": [0.24017193913459778, 0.2707776725292206, 0.05560081824660301, -0.07617393881082535, 0.9274173974990845, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [44.15674351985121, 46.51023658248235, 47.998972789895234, 48.339270890108104, 243.49228465557098]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "12": {"neuron_profiles": {"0": {"mean": -5.222941875457764, "std": 5.845788955688477, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [92.8681553698076, 96.72928650175602, 101.54435988362341, 102.38353803742248, 470.0648071616888]}}, "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": [[-1.260074, 0.08628, -0.643832, 0.170016, 0.7074], [-0.528377, -0.306982, -0.071901, -0.517931, 0.56444], [1.131091, 0.551848, 0.540778, 0.406071, -0.830624], [-1.383166, -0.355906, 0.605102, 0.498451, 0.513865], [-0.452884, -0.181067, -0.724725, -0.023476, -0.165267]], "network.0.bias": [0.441969, 0.541952, 0.892455, -0.082636, -0.618263], "network.2.weight": [[-0.121019, 0.612357, -0.104133, -0.340781, -0.155184], [-0.136676, -0.087021, -0.107033, -0.282717, 0.345771], [-0.1489, -0.108303, 1.091285, -0.728277, -0.157053], [-0.397941, -0.919624, 0.695912, -0.412473, -0.402168], [0.33636, 0.424717, -0.078967, 0.687319, -0.303596]], "network.2.bias": [-0.520441, -0.06471, 0.579155, 0.304011, 0.179377], "network.4.weight": [[0.061856, -0.348962, 0.125858, -0.611221, -0.263066], [0.635738, -0.133881, 1.083898, 0.957443, -0.38938], [-0.403265, 0.067046, -0.134431, -0.176626, 0.728455], [-0.152907, -0.369965, -0.438669, 0.137796, -0.255777], [-0.189864, 0.292247, 0.038404, -0.309279, -0.337512]], "network.4.bias": [-0.521281, 0.437891, 0.410575, -0.039317, -0.390321], "network.6.weight": [[0.176061, -0.944504, -0.005336, -0.404484, -0.425438], [0.120894, 0.538358, -0.444923, -0.022078, 0.262867], [-0.292454, -0.563366, -0.190418, -0.13162, -0.283964], [0.156202, 0.574699, -0.347214, 0.130787, -0.159568], [0.529624, 0.622009, -0.490947, -0.373473, -0.149941]], "network.6.bias": [-0.081045, 0.331427, 0.213206, 0.089628, 0.261988], "network.8.weight": [[-0.468508, -0.308482, -0.408871, -0.538522, -0.373988], [-0.054903, 0.792605, -0.176047, 0.968755, 0.770547], [0.030365, -0.512213, -0.21176, 0.094456, -0.403694], [0.103104, -0.615719, 0.156641, -0.016329, -0.370251], [0.178427, 0.485706, 0.223355, 0.57731, 0.279414]], "network.8.bias": [-0.086045, -0.276776, -0.440516, -0.097039, 0.047383], "network.10.weight": [[0.422856, -0.342097, 0.263132, 0.262961, -0.40529], [-0.007962, -0.056474, 0.182239, -0.07753, -0.370481], [0.12157, 0.58578, 0.010812, 0.129119, 0.587754], [0.15803, -0.196396, 0.200393, 0.041262, 0.193552], [-0.436751, 0.117257, 0.059336, 0.393134, 0.288213]], "network.10.bias": [-0.121874, -0.523182, -0.330457, 0.886045, -0.190388], "network.12.weight": [[0.390371, -0.067276, -0.625866, 0.820559, 0.053486]], "network.12.bias": [0.169016]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6952458918094635, "train_acc": 0.5, "val_loss": 0.7184010148048401, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.675141304731369, "train_acc": 0.58, "val_loss": 0.7816898822784424, "val_acc": 0.4}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.676003485918045, "train_acc": 0.58, "val_loss": 0.7597633600234985, "val_acc": 0.4}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6522794663906097, "train_acc": 0.58, "val_loss": 0.675294041633606, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6146063506603241, "train_acc": 0.525, "val_loss": 0.5891657471656799, "val_acc": 0.4}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5811938047409058, "train_acc": 0.535, "val_loss": 0.5410398244857788, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5189764648675919, "train_acc": 0.725, "val_loss": 0.42994749546051025, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5075280517339706, "train_acc": 0.73, "val_loss": 0.3966061472892761, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5029931962490082, "train_acc": 0.73, "val_loss": 0.43163082003593445, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.49839945137500763, "train_acc": 0.73, "val_loss": 0.40983259677886963, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.4824824929237366, "train_acc": 0.735, "val_loss": 0.4070129692554474, "val_acc": 0.86}], "summary": {"total_epochs": 11, "degraded_epochs": 4, "improved_epochs": 7, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.7184010148048401, "final_val_loss": 0.675294041633606, "initial_val_acc": 0.4, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.5891657471656799, "final_val_loss": 0.4070129692554474, "initial_val_acc": 0.4, "final_val_acc": 0.86, "best_val_acc": 0.88, "best_epoch": 8}, "improvement": 0.48, "first_improvement_epoch": 3}}
|
9,788
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.42, "improved_accuracy": 1.0, "improvement": 0.5800000000000001, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2182, "learning_rate": 0.036445459468712145, "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:
{
"network.0.weight": [
[
-0.301139,
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0.05372,
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],
[
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-0.032741,
0.624859,
0.181214
],
[
-0.308034,
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0.109227,
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-0.209592
],
[
-0.341582,
0.024285,
0.285335,
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],
[
0.549862,
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0.083061,
-0.253994
]
],
"network.0.bias": [
-0.371346,
0.001169,
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0.540103,
-0.268907
],
"network.2.weight": [
[
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0.087359,
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0.605675
],
[
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0.065316,
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-0.132529
],
[
0.176502,
0.739095,
0.174904,
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],
[
-0.12609,
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0.108115,
0.142623
],
[
-0.119962,
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0.364873,
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]
],
"network.2.bias": [
0.015281,
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0.608379,
0.08239,
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],
"network.4.weight": [
[
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],
[
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0.388594,
-0.029016,
0.324074
],
[
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],
[
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],
[
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]
],
"network.4.bias": [
-0.343046,
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0.087186
],
"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": [
0.363532
]
}
## Activation Signature
### 0
mean: [-1.782409, 0.967625, -3.413177, 0.342127, 1.669796]
std: [1.323990, 1.627367, 2.241328, 0.872433, 1.849249]
pca: [[0.382440, 0.191271, 0.492487, 0.744800, -0.141014, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.097881, 0.806727, 0.134390, -0.141829, 0.549031, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.738783, -0.324440, 0.000224, -0.190302, 0.559216, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.147238, 0.050837, 0.681638, -0.609978, -0.372872, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.526003, -0.452506, 0.524181, 0.129884, 0.476365, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.290684, 22.982069, 23.212362, 24.830712, 160.416819], [22.944623, 23.678769, 26.389392, 26.450475, 87.086222], [32.431311, 36.784585, 43.591588, 47.852986, 307.185928], [13.060542, 13.720158, 16.324719, 16.692222, 30.791463], [30.300588, 31.147911, 32.825613, 34.130577, 150.281682]]
### 2
mean: [0.167603, -1.131842, 1.568905, 0.935821, -0.901375]
std: [1.374392, 0.507295, 1.035743, 0.619274, 0.770399]
pca: [[0.794175, -0.287092, 0.082639, 0.500188, 0.172764, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.109894, 0.402018, -0.492637, -0.122782, 0.754014, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.518538, -0.478292, -0.403515, 0.560788, 0.158265, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.155481, -0.477794, 0.550373, -0.320305, 0.584836, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.253287, 0.546726, 0.533615, 0.563612, 0.185834, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.117690, 22.017835, 22.854152, 23.409801, 26.791368], [7.276743, 7.492824, 7.556077, 9.366861, 101.865824], [15.427465, 16.116873, 16.733721, 17.549719, 141.201497], [9.020733, 9.026195, 9.070836, 11.072282, 84.223894], [11.725798, 12.584171, 14.653396, 14.799030, 81.123726]]
### 4
mean: [-0.971503, 0.978514, 0.454148, 0.621178, 1.051676]
std: [0.338127, 0.799217, 0.816065, 0.557069, 1.368552]
pca: [[-0.119807, 0.768302, 0.628553, -0.003904, 0.016247, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.420185, 0.449190, -0.453687, -0.149792, -0.627219, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.431043, -0.393745, 0.567608, -0.507015, -0.282706, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.295267, 0.229903, -0.245906, -0.581527, 0.679204, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.732195, 0.007026, 0.128220, 0.618311, 0.255132, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.954294, 5.067695, 5.326844, 5.949078, 87.435283], [13.239944, 13.765567, 14.685089, 15.062782, 88.066265], [12.485743, 13.130974, 13.525670, 14.852245, 40.873316], [9.257183, 9.475861, 10.122163, 10.524622, 55.906039], [22.239847, 22.817503, 23.827464, 25.691867, 94.650867]]
### 6
mean: [-1.243135, 2.482794, 2.322387, 1.054182, -0.700513]
std: [0.725451, 1.868649, 1.606961, 0.900775, 0.238030]
pca: [[-0.265603, -0.158148, -0.053253, -0.520048, 0.794455, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.684167, -0.392357, -0.604771, -0.101610, 0.043575, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.587966, 0.617266, 0.272854, 0.133837, 0.425344, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.329177, -0.521226, 0.743479, -0.239033, -0.100342, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.085490, -0.410307, 0.064856, 0.802606, 0.419472, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.410871, 11.694272, 12.092971, 13.524421, 111.882136], [29.487273, 29.770914, 30.660657, 34.371437, 223.451416], [25.090980, 26.085986, 26.970057, 30.146709, 209.014790], [13.890135, 14.489981, 14.547869, 16.289977, 94.876388], [3.757108, 4.065413, 4.201294, 4.628973, 63.046147]]
### 8
mean: [-3.135775]
std: [2.606249]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.312795, 41.469684, 42.871572, 48.097364, 282.219727]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": [
[
-0.301139,
-0.394343,
0.016795,
0.05372,
-0.379471
],
[
-0.405604,
-0.013102,
-0.032741,
0.624859,
0.181214
],
[
-0.308034,
-0.624332,
0.109227,
-0.625745,
-0.209592
],
[
-0.341582,
0.024285,
0.285335,
-0.052051,
-0.244508
],
[
0.549862,
0.455914,
0.267508,
0.083061,
-0.253994
]
],
"network.0.bias": [
-0.371346,
0.001169,
-0.519965,
0.540103,
-0.268907
],
"network.2.weight": [
[
0.230188,
-0.424176,
0.087359,
-0.704056,
0.605675
],
[
0.326628,
-0.364139,
0.065316,
-0.072582,
-0.132529
],
[
0.176502,
0.739095,
0.174904,
0.362849,
-0.076554
],
[
-0.12609,
0.452035,
-0.269901,
0.108115,
0.142623
],
[
-0.119962,
-0.180199,
0.364873,
0.29953,
-0.409008
]
],
"network.2.bias": [
0.015281,
-0.421231,
0.608379,
0.08239,
-0.139092
],
"network.4.weight": [
[
-0.097039,
0.232473,
-0.257747,
-0.179292,
0.428964
],
[
-0.474296,
0.263621,
0.388594,
-0.029016,
0.324074
],
[
-0.296272,
0.301893,
0.476207,
0.236552,
-0.246737
],
[
-0.313618,
0.020577,
0.281935,
0.004945,
0.193777
],
[
-0.654142,
-0.076005,
0.746207,
0.194019,
0.201436
]
],
"network.4.bias": [
-0.343046,
0.676633,
-0.337654,
0.359846,
0.087186
],
"network.6.weight": [
[
-0.006337,
-0.431371,
-0.144066,
0.067808,
-0.396052
],
[
-0.040896,
0.437665,
0.717328,
0.629239,
0.878406
],
[
0.161424,
0.890166,
0.245294,
0.184175,
0.819543
],
[
-0.301474,
-0.003103,
0.219742,
0.164083,
0.682207
],
[
-0.138581,
-0.123181,
0.006339,
-0.352507,
-0.011928
]
],
"network.6.bias": [
-0.243582,
0.046908,
0.065727,
-0.049356,
-0.316567
],
"network.8.weight": [
[
-0.027161,
-0.516333,
-0.626615,
-0.71669,
-0.062485
]
],
"network.8.bias": [
0.363532
]
}
## Activation Signature
### 0
mean: [-1.782409, 0.967625, -3.413177, 0.342127, 1.669796]
std: [1.323990, 1.627367, 2.241328, 0.872433, 1.849249]
pca: [[0.382440, 0.191271, 0.492487, 0.744800, -0.141014, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.097881, 0.806727, 0.134390, -0.141829, 0.549031, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.738783, -0.324440, 0.000224, -0.190302, 0.559216, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.147238, 0.050837, 0.681638, -0.609978, -0.372872, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.526003, -0.452506, 0.524181, 0.129884, 0.476365, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.290684, 22.982069, 23.212362, 24.830712, 160.416819], [22.944623, 23.678769, 26.389392, 26.450475, 87.086222], [32.431311, 36.784585, 43.591588, 47.852986, 307.185928], [13.060542, 13.720158, 16.324719, 16.692222, 30.791463], [30.300588, 31.147911, 32.825613, 34.130577, 150.281682]]
### 2
mean: [0.167603, -1.131842, 1.568905, 0.935821, -0.901375]
std: [1.374392, 0.507295, 1.035743, 0.619274, 0.770399]
pca: [[0.794175, -0.287092, 0.082639, 0.500188, 0.172764, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.109894, 0.402018, -0.492637, -0.122782, 0.754014, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.518538, -0.478292, -0.403515, 0.560788, 0.158265, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.155481, -0.477794, 0.550373, -0.320305, 0.584836, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.253287, 0.546726, 0.533615, 0.563612, 0.185834, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.117690, 22.017835, 22.854152, 23.409801, 26.791368], [7.276743, 7.492824, 7.556077, 9.366861, 101.865824], [15.427465, 16.116873, 16.733721, 17.549719, 141.201497], [9.020733, 9.026195, 9.070836, 11.072282, 84.223894], [11.725798, 12.584171, 14.653396, 14.799030, 81.123726]]
### 4
mean: [-0.971503, 0.978514, 0.454148, 0.621178, 1.051676]
std: [0.338127, 0.799217, 0.816065, 0.557069, 1.368552]
pca: [[-0.119807, 0.768302, 0.628553, -0.003904, 0.016247, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.420185, 0.449190, -0.453687, -0.149792, -0.627219, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.431043, -0.393745, 0.567608, -0.507015, -0.282706, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.295267, 0.229903, -0.245906, -0.581527, 0.679204, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.732195, 0.007026, 0.128220, 0.618311, 0.255132, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.954294, 5.067695, 5.326844, 5.949078, 87.435283], [13.239944, 13.765567, 14.685089, 15.062782, 88.066265], [12.485743, 13.130974, 13.525670, 14.852245, 40.873316], [9.257183, 9.475861, 10.122163, 10.524622, 55.906039], [22.239847, 22.817503, 23.827464, 25.691867, 94.650867]]
### 6
mean: [-1.243135, 2.482794, 2.322387, 1.054182, -0.700513]
std: [0.725451, 1.868649, 1.606961, 0.900775, 0.238030]
pca: [[-0.265603, -0.158148, -0.053253, -0.520048, 0.794455, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.684167, -0.392357, -0.604771, -0.101610, 0.043575, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.587966, 0.617266, 0.272854, 0.133837, 0.425344, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.329177, -0.521226, 0.743479, -0.239033, -0.100342, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.085490, -0.410307, 0.064856, 0.802606, 0.419472, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.410871, 11.694272, 12.092971, 13.524421, 111.882136], [29.487273, 29.770914, 30.660657, 34.371437, 223.451416], [25.090980, 26.085986, 26.970057, 30.146709, 209.014790], [13.890135, 14.489981, 14.547869, 16.289977, 94.876388], [3.757108, 4.065413, 4.201294, 4.628973, 63.046147]]
### 8
mean: [-3.135775]
std: [2.606249]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.312795, 41.469684, 42.871572, 48.097364, 282.219727]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
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"layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "6": {"neuron_profiles": {"0": {"mean": -1.24313485622406, "std": 0.7254514694213867, "pca": [-0.2656032145023346, -0.15814849734306335, -0.05325291305780411, -0.5200476050376892, 0.7944549322128296, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [11.410871410619944, 11.694271580125715, 12.092970682437999, 13.524421141734758, 111.8821357190609]}, "1": {"mean": 2.4827935695648193, "std": 1.8686485290527344, "pca": [0.684167206287384, -0.3923567831516266, -0.6047710180282593, -0.10161027312278748, 0.043574996292591095, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [29.48727297318301, 29.770913852200334, 30.66065737142952, 34.37143728856212, 223.45141566172242]}, "2": {"mean": 2.3223865032196045, "std": 1.6069607734680176, "pca": [0.5879660248756409, 0.6172656416893005, 0.2728535234928131, 0.1338365525007248, 0.4253443479537964, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [25.09097997566185, 26.085985703323374, 26.97005694188001, 30.146708785745904, 209.0147898197174]}, "3": {"mean": 1.0541820526123047, "std": 0.9007750153541565, "pca": [0.3291771113872528, -0.5212256908416748, 0.7434788942337036, -0.2390332818031311, -0.10034152865409851, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [13.890134933659127, 14.489981480991302, 14.547869159242726, 16.289976527668433, 94.87638841569424]}, "4": {"mean": -0.700512707233429, "std": 0.2380295693874359, "pca": [-0.08549018204212189, -0.4103073179721832, 0.06485550105571747, 0.8026062250137329, 0.41947153210639954, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [3.7571077563960085, 4.06541287756888, 4.201293821384884, 4.628973302421532, 63.046147137880325]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -3.135774850845337, "std": 2.606248617172241, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [41.31279464791602, 41.46968442363903, 42.87157192843419, 48.097364145290676, 282.2197268009186]}}, "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": [[-0.301139, -0.394343, 0.016795, 0.05372, -0.379471], [-0.405604, -0.013102, -0.032741, 0.624859, 0.181214], [-0.308034, -0.624332, 0.109227, -0.625745, -0.209592], [-0.341582, 0.024285, 0.285335, -0.052051, -0.244508], [0.549862, 0.455914, 0.267508, 0.083061, -0.253994]], "network.0.bias": [-0.371346, 0.001169, -0.519965, 0.540103, -0.268907], "network.2.weight": [[0.230188, -0.424176, 0.087359, -0.704056, 0.605675], [0.326628, -0.364139, 0.065316, -0.072582, -0.132529], [0.176502, 0.739095, 0.174904, 0.362849, -0.076554], [-0.12609, 0.452035, -0.269901, 0.108115, 0.142623], [-0.119962, -0.180199, 0.364873, 0.29953, -0.409008]], "network.2.bias": [0.015281, -0.421231, 0.608379, 0.08239, -0.139092], "network.4.weight": [[-0.097039, 0.232473, -0.257747, -0.179292, 0.428964], [-0.474296, 0.263621, 0.388594, -0.029016, 0.324074], [-0.296272, 0.301893, 0.476207, 0.236552, -0.246737], [-0.313618, 0.020577, 0.281935, 0.004945, 0.193777], [-0.654142, -0.076005, 0.746207, 0.194019, 0.201436]], "network.4.bias": [-0.343046, 0.676633, -0.337654, 0.359846, 0.087186], "network.6.weight": [[-0.006337, -0.431371, -0.144066, 0.067808, -0.396052], [-0.040896, 0.437665, 0.717328, 0.629239, 0.878406], [0.161424, 0.890166, 0.245294, 0.184175, 0.819543], [-0.301474, -0.003103, 0.219742, 0.164083, 0.682207], [-0.138581, -0.123181, 0.006339, -0.352507, -0.011928]], "network.6.bias": [-0.243582, 0.046908, 0.065727, -0.049356, -0.316567], "network.8.weight": [[-0.027161, -0.516333, -0.626615, -0.71669, -0.062485]], "network.8.bias": [0.363532]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7025912702083588, "train_acc": 0.435, "val_loss": 0.6810169816017151, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6554644405841827, "train_acc": 0.6, "val_loss": 0.6582126021385193, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6196514964103699, "train_acc": 0.6, "val_loss": 0.634920597076416, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5879209935665131, "train_acc": 0.52, "val_loss": 0.5458953380584717, "val_acc": 0.42}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5201907157897949, "train_acc": 0.52, "val_loss": 0.46260491013526917, "val_acc": 0.42}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4406646490097046, "train_acc": 0.66, "val_loss": 0.38478314876556396, "val_acc": 0.98}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.36754629015922546, "train_acc": 0.905, "val_loss": 0.3379996418952942, "val_acc": 1.0}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.339566707611084, "train_acc": 0.915, "val_loss": 0.29949215054512024, "val_acc": 1.0}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2995340973138809, "train_acc": 0.94, "val_loss": 0.27572235465049744, "val_acc": 1.0}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2816193401813507, "train_acc": 0.94, "val_loss": 0.2584993243217468, "val_acc": 1.0}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.27854977548122406, "train_acc": 0.94, "val_loss": 0.2439996302127838, "val_acc": 1.0}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.25821246951818466, "train_acc": 0.94, "val_loss": 0.23095792531967163, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.2515416815876961, "train_acc": 0.94, "val_loss": 0.21871131658554077, "val_acc": 1.0}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6810169816017151, "final_val_loss": 0.634920597076416, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.5458953380584717, "final_val_loss": 0.21871131658554077, "initial_val_acc": 0.42, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 6}, "improvement": 0.5800000000000001, "first_improvement_epoch": 2}}
|
9,789
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.52, "improved_accuracy": 0.94, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2282, "learning_rate": 0.0990934283778476, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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0.303016,
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[
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[
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0.018275
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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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[
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [0.490130, -0.290861, 0.130778, 0.605352, -0.184451, -1.199226, -0.647004, 0.916574]
std: [1.021072, 1.312453, 1.650171, 1.587762, 1.591335, 2.135263, 1.223464, 1.860335]
pca: [[-0.310281, 0.070163, -0.040110, -0.117106, 0.836807, -0.372815, 0.189977, -0.090287, 0.000000, 0.000000], [0.147574, -0.252170, 0.096207, 0.823284, 0.262207, -0.071662, -0.361140, 0.152542, 0.000000, 0.000000], [0.290002, 0.102726, 0.734146, 0.117184, -0.102924, -0.315128, 0.492564, -0.011203, 0.000000, 0.000000], [-0.042940, -0.511375, -0.480549, 0.218235, -0.226912, -0.279122, 0.568588, -0.073545, 0.000000, 0.000000], [0.495342, -0.147455, -0.152590, -0.366672, 0.053428, -0.431957, -0.198024, 0.588647, 0.000000, 0.000000], [0.493040, 0.557387, -0.387745, 0.176824, -0.005564, -0.240200, -0.035826, -0.453441, 0.000000, 0.000000], [0.000889, 0.451049, -0.213213, 0.236890, 0.112220, 0.359403, 0.433958, 0.604064, 0.000000, 0.000000], [0.554571, -0.351514, 0.012200, -0.159056, 0.391715, 0.552454, 0.196872, -0.214562, 0.000000, 0.000000]]
fourier: [[16.484368, 16.822451, 17.172731, 17.650569, 44.111716], [20.180853, 22.274892, 24.933052, 25.897522, 26.177501], [25.672101, 25.742558, 26.460116, 29.289268, 30.431748], [24.296224, 24.531522, 29.017567, 33.502711, 54.481642], [23.218007, 23.726311, 24.033108, 25.106793, 32.768358], [34.320414, 40.419550, 40.712156, 49.448357, 107.930299], [17.677801, 17.709733, 19.876013, 25.413508, 58.230348], [30.347337, 30.656638, 30.739034, 31.485486, 82.491687]]
### 2
mean: [1.045897, -0.688224, 1.766124, 0.253496, 1.569230, -0.860603, 2.239976, 1.771986]
std: [1.758723, 1.571586, 1.952776, 1.217041, 1.742144, 0.689753, 2.033780, 2.101152]
pca: [[0.371467, -0.388787, -0.121075, 0.019375, 0.417005, 0.000575, 0.721715, 0.032490, 0.000000, 0.000000], [-0.224377, 0.712493, -0.312150, 0.322444, 0.092629, 0.289792, 0.382774, 0.039044, 0.000000, 0.000000], [0.440191, 0.053762, 0.085435, 0.571170, -0.462392, -0.245235, 0.088281, -0.433668, 0.000000, 0.000000], [0.248853, -0.180982, -0.476593, 0.445525, 0.372298, 0.205715, -0.537290, 0.100392, 0.000000, 0.000000], [0.391514, 0.007758, 0.355208, 0.022073, -0.296156, 0.660910, 0.012359, 0.441964, 0.000000, 0.000000], [-0.062561, 0.162040, 0.645136, 0.404244, 0.463514, -0.304042, -0.063355, 0.280919, 0.000000, 0.000000], [0.442142, 0.340752, -0.280436, -0.240574, -0.117885, -0.510458, -0.039719, 0.525201, 0.000000, 0.000000], [0.450870, 0.403886, 0.180126, -0.386200, 0.385570, 0.154112, -0.174336, -0.499188, 0.000000, 0.000000]]
fourier: [[27.218318, 29.335253, 31.357819, 37.706747, 94.130731], [24.395124, 26.919938, 27.022911, 32.108196, 61.940196], [34.272762, 36.507693, 38.554409, 39.740158, 158.951163], [17.349654, 19.232117, 22.814599, 23.610755, 25.393245], [28.531535, 32.554730, 35.229187, 36.957240, 141.230680], [9.524364, 10.826766, 11.730356, 12.153279, 77.454263], [32.466982, 36.760615, 40.225956, 40.353072, 201.597868], [32.668367, 36.527981, 41.678425, 44.622084, 159.478737]]
### 4
mean: [4.071289, 3.057987, -0.018854, 3.339517, 5.030979, -3.157068, 0.680618, -0.278241]
std: [4.261772, 3.407970, 0.287866, 3.987001, 5.457909, 2.171382, 1.293996, 1.192238]
pca: [[0.469726, 0.020551, -0.077907, 0.789273, 0.023825, 0.092255, -0.071448, 0.368416, 0.000000, 0.000000], [0.374623, -0.158124, 0.841649, -0.033890, 0.263812, -0.085275, 0.103240, -0.193923, 0.000000, 0.000000], [0.010048, 0.248352, -0.167317, -0.081869, 0.709041, -0.535677, -0.305912, 0.142306, 0.000000, 0.000000], [0.439595, -0.005784, -0.074122, -0.578633, 0.024479, 0.244841, 0.123847, 0.624923, 0.000000, 0.000000], [0.601983, 0.052193, -0.332220, -0.160197, -0.042083, 0.145639, -0.344000, -0.597948, 0.000000, 0.000000], [-0.237744, 0.250694, 0.068232, 0.062546, 0.506575, 0.777090, -0.078955, -0.073090, 0.000000, 0.000000], [0.142318, 0.025059, -0.311639, 0.067732, 0.289899, -0.066033, 0.858059, -0.229663, 0.000000, 0.000000], [0.080690, 0.920143, 0.199811, -0.014791, -0.289942, -0.088774, 0.120339, -0.015949, 0.000000, 0.000000]]
fourier: [[71.606909, 73.151975, 85.974640, 90.713881, 366.415992], [53.700611, 59.495513, 68.025209, 71.296227, 275.218830], [4.176198, 4.320148, 4.497366, 4.711712, 4.983735], [69.381927, 69.727728, 78.544966, 85.698278, 300.556533], [93.672506, 96.234775, 108.472766, 117.314314, 452.788113], [37.264410, 37.743937, 44.577739, 46.492090, 284.136112], [21.778746, 24.238327, 25.730536, 27.241758, 61.255603], [18.161230, 18.785953, 18.983735, 19.126850, 25.041698]]
### 6
mean: [-4.552951, -2.656197, -5.149906, -2.713563, -3.677171, 9.732923, -5.996593, -4.649190]
std: [5.688063, 3.615136, 5.958252, 3.659288, 5.134750, 10.282446, 7.027397, 5.934104]
pca: [[-0.322647, -0.182639, 0.098514, -0.420467, -0.385042, -0.356137, 0.413873, 0.479231, 0.000000, 0.000000], [-0.204618, 0.463345, -0.053847, -0.522364, -0.295421, -0.170908, -0.454579, -0.380202, 0.000000, 0.000000], [-0.337540, 0.615575, -0.113215, 0.072747, 0.095006, 0.339755, 0.596730, -0.092079, 0.000000, 0.000000], [-0.207328, 0.347829, 0.247550, 0.078317, 0.216877, 0.159999, -0.456553, 0.698240, 0.000000, 0.000000], [-0.291250, -0.013008, 0.487517, -0.003451, 0.595360, -0.493704, 0.086600, -0.267623, 0.000000, 0.000000], [0.583211, 0.396844, 0.553069, 0.155359, -0.329829, -0.187051, 0.168183, 0.017254, 0.000000, 0.000000], [-0.398666, 0.053323, -0.132855, 0.717131, -0.390522, -0.363820, -0.133188, -0.060693, 0.000000, 0.000000], [-0.336475, -0.302555, 0.593370, 0.022206, -0.304398, 0.540211, -0.063369, -0.232727, 0.000000, 0.000000]]
fourier: [[95.484113, 98.310248, 112.024849, 125.521126, 409.765665], [59.988909, 62.774396, 69.282952, 79.654779, 239.057702], [99.741786, 101.830019, 114.530478, 130.631839, 463.491544], [61.251203, 62.684376, 69.829760, 80.876433, 244.220683], [86.528315, 88.057072, 99.855819, 113.911691, 330.945370], [172.286325, 175.936985, 203.180456, 224.971703, 875.963023], [117.577947, 118.978213, 137.105207, 154.381002, 539.693405], [100.009653, 102.380031, 115.939560, 131.415459, 418.427158]]
### 8
mean: [-4.746245]
std: [6.649851]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[110.388226, 115.695327, 131.903952, 139.466875, 427.162071]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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[
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],
[
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0.018275
],
[
-0.729016,
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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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0.034307,
0.251726,
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0.196442,
0.004045
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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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],
[
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]
],
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"network.8.weight": [
[
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-0.574919,
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]
],
"network.8.bias": [
0.157655
]
}
## Activation Signature
### 0
mean: [0.490130, -0.290861, 0.130778, 0.605352, -0.184451, -1.199226, -0.647004, 0.916574]
std: [1.021072, 1.312453, 1.650171, 1.587762, 1.591335, 2.135263, 1.223464, 1.860335]
pca: [[-0.310281, 0.070163, -0.040110, -0.117106, 0.836807, -0.372815, 0.189977, -0.090287, 0.000000, 0.000000], [0.147574, -0.252170, 0.096207, 0.823284, 0.262207, -0.071662, -0.361140, 0.152542, 0.000000, 0.000000], [0.290002, 0.102726, 0.734146, 0.117184, -0.102924, -0.315128, 0.492564, -0.011203, 0.000000, 0.000000], [-0.042940, -0.511375, -0.480549, 0.218235, -0.226912, -0.279122, 0.568588, -0.073545, 0.000000, 0.000000], [0.495342, -0.147455, -0.152590, -0.366672, 0.053428, -0.431957, -0.198024, 0.588647, 0.000000, 0.000000], [0.493040, 0.557387, -0.387745, 0.176824, -0.005564, -0.240200, -0.035826, -0.453441, 0.000000, 0.000000], [0.000889, 0.451049, -0.213213, 0.236890, 0.112220, 0.359403, 0.433958, 0.604064, 0.000000, 0.000000], [0.554571, -0.351514, 0.012200, -0.159056, 0.391715, 0.552454, 0.196872, -0.214562, 0.000000, 0.000000]]
fourier: [[16.484368, 16.822451, 17.172731, 17.650569, 44.111716], [20.180853, 22.274892, 24.933052, 25.897522, 26.177501], [25.672101, 25.742558, 26.460116, 29.289268, 30.431748], [24.296224, 24.531522, 29.017567, 33.502711, 54.481642], [23.218007, 23.726311, 24.033108, 25.106793, 32.768358], [34.320414, 40.419550, 40.712156, 49.448357, 107.930299], [17.677801, 17.709733, 19.876013, 25.413508, 58.230348], [30.347337, 30.656638, 30.739034, 31.485486, 82.491687]]
### 2
mean: [1.045897, -0.688224, 1.766124, 0.253496, 1.569230, -0.860603, 2.239976, 1.771986]
std: [1.758723, 1.571586, 1.952776, 1.217041, 1.742144, 0.689753, 2.033780, 2.101152]
pca: [[0.371467, -0.388787, -0.121075, 0.019375, 0.417005, 0.000575, 0.721715, 0.032490, 0.000000, 0.000000], [-0.224377, 0.712493, -0.312150, 0.322444, 0.092629, 0.289792, 0.382774, 0.039044, 0.000000, 0.000000], [0.440191, 0.053762, 0.085435, 0.571170, -0.462392, -0.245235, 0.088281, -0.433668, 0.000000, 0.000000], [0.248853, -0.180982, -0.476593, 0.445525, 0.372298, 0.205715, -0.537290, 0.100392, 0.000000, 0.000000], [0.391514, 0.007758, 0.355208, 0.022073, -0.296156, 0.660910, 0.012359, 0.441964, 0.000000, 0.000000], [-0.062561, 0.162040, 0.645136, 0.404244, 0.463514, -0.304042, -0.063355, 0.280919, 0.000000, 0.000000], [0.442142, 0.340752, -0.280436, -0.240574, -0.117885, -0.510458, -0.039719, 0.525201, 0.000000, 0.000000], [0.450870, 0.403886, 0.180126, -0.386200, 0.385570, 0.154112, -0.174336, -0.499188, 0.000000, 0.000000]]
fourier: [[27.218318, 29.335253, 31.357819, 37.706747, 94.130731], [24.395124, 26.919938, 27.022911, 32.108196, 61.940196], [34.272762, 36.507693, 38.554409, 39.740158, 158.951163], [17.349654, 19.232117, 22.814599, 23.610755, 25.393245], [28.531535, 32.554730, 35.229187, 36.957240, 141.230680], [9.524364, 10.826766, 11.730356, 12.153279, 77.454263], [32.466982, 36.760615, 40.225956, 40.353072, 201.597868], [32.668367, 36.527981, 41.678425, 44.622084, 159.478737]]
### 4
mean: [4.071289, 3.057987, -0.018854, 3.339517, 5.030979, -3.157068, 0.680618, -0.278241]
std: [4.261772, 3.407970, 0.287866, 3.987001, 5.457909, 2.171382, 1.293996, 1.192238]
pca: [[0.469726, 0.020551, -0.077907, 0.789273, 0.023825, 0.092255, -0.071448, 0.368416, 0.000000, 0.000000], [0.374623, -0.158124, 0.841649, -0.033890, 0.263812, -0.085275, 0.103240, -0.193923, 0.000000, 0.000000], [0.010048, 0.248352, -0.167317, -0.081869, 0.709041, -0.535677, -0.305912, 0.142306, 0.000000, 0.000000], [0.439595, -0.005784, -0.074122, -0.578633, 0.024479, 0.244841, 0.123847, 0.624923, 0.000000, 0.000000], [0.601983, 0.052193, -0.332220, -0.160197, -0.042083, 0.145639, -0.344000, -0.597948, 0.000000, 0.000000], [-0.237744, 0.250694, 0.068232, 0.062546, 0.506575, 0.777090, -0.078955, -0.073090, 0.000000, 0.000000], [0.142318, 0.025059, -0.311639, 0.067732, 0.289899, -0.066033, 0.858059, -0.229663, 0.000000, 0.000000], [0.080690, 0.920143, 0.199811, -0.014791, -0.289942, -0.088774, 0.120339, -0.015949, 0.000000, 0.000000]]
fourier: [[71.606909, 73.151975, 85.974640, 90.713881, 366.415992], [53.700611, 59.495513, 68.025209, 71.296227, 275.218830], [4.176198, 4.320148, 4.497366, 4.711712, 4.983735], [69.381927, 69.727728, 78.544966, 85.698278, 300.556533], [93.672506, 96.234775, 108.472766, 117.314314, 452.788113], [37.264410, 37.743937, 44.577739, 46.492090, 284.136112], [21.778746, 24.238327, 25.730536, 27.241758, 61.255603], [18.161230, 18.785953, 18.983735, 19.126850, 25.041698]]
### 6
mean: [-4.552951, -2.656197, -5.149906, -2.713563, -3.677171, 9.732923, -5.996593, -4.649190]
std: [5.688063, 3.615136, 5.958252, 3.659288, 5.134750, 10.282446, 7.027397, 5.934104]
pca: [[-0.322647, -0.182639, 0.098514, -0.420467, -0.385042, -0.356137, 0.413873, 0.479231, 0.000000, 0.000000], [-0.204618, 0.463345, -0.053847, -0.522364, -0.295421, -0.170908, -0.454579, -0.380202, 0.000000, 0.000000], [-0.337540, 0.615575, -0.113215, 0.072747, 0.095006, 0.339755, 0.596730, -0.092079, 0.000000, 0.000000], [-0.207328, 0.347829, 0.247550, 0.078317, 0.216877, 0.159999, -0.456553, 0.698240, 0.000000, 0.000000], [-0.291250, -0.013008, 0.487517, -0.003451, 0.595360, -0.493704, 0.086600, -0.267623, 0.000000, 0.000000], [0.583211, 0.396844, 0.553069, 0.155359, -0.329829, -0.187051, 0.168183, 0.017254, 0.000000, 0.000000], [-0.398666, 0.053323, -0.132855, 0.717131, -0.390522, -0.363820, -0.133188, -0.060693, 0.000000, 0.000000], [-0.336475, -0.302555, 0.593370, 0.022206, -0.304398, 0.540211, -0.063369, -0.232727, 0.000000, 0.000000]]
fourier: [[95.484113, 98.310248, 112.024849, 125.521126, 409.765665], [59.988909, 62.774396, 69.282952, 79.654779, 239.057702], [99.741786, 101.830019, 114.530478, 130.631839, 463.491544], [61.251203, 62.684376, 69.829760, 80.876433, 244.220683], [86.528315, 88.057072, 99.855819, 113.911691, 330.945370], [172.286325, 175.936985, 203.180456, 224.971703, 875.963023], [117.577947, 118.978213, 137.105207, 154.381002, 539.693405], [100.009653, 102.380031, 115.939560, 131.415459, 418.427158]]
### 8
mean: [-4.746245]
std: [6.649851]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[110.388226, 115.695327, 131.903952, 139.466875, 427.162071]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6859728395938873, "train_acc": 0.57, "val_loss": 0.6806912422180176, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6246952414512634, "train_acc": 0.57, "val_loss": 0.5007825493812561, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5085996091365814, "train_acc": 0.575, "val_loss": 0.3202638626098633, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.3090091645717621, "train_acc": 0.89, "val_loss": 0.20644733309745789, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.19113068282604218, "train_acc": 0.945, "val_loss": 0.24821814894676208, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.20290333032608032, "train_acc": 0.95, "val_loss": 0.27855271100997925, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.17670206725597382, "train_acc": 0.95, "val_loss": 0.2401876002550125, "val_acc": 0.92}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6806912422180176, "final_val_loss": 0.5007825493812561, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.3202638626098633, "final_val_loss": 0.2401876002550125, "initial_val_acc": 0.86, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 3}, "improvement": 0.41999999999999993, "first_improvement_epoch": 1}}
|
9,790
|
{"target_pattern": "alternating", "degraded_accuracy": 0.56, "improved_accuracy": 0.88, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7108, "learning_rate": 0.04553042288277856, "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: 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: [-1.365918, -2.213579, 1.400405, -1.398595, 2.191522, -1.504472]
std: [2.249377, 2.709698, 1.606437, 2.399370, 2.588012, 2.555124]
pca: [[0.418628, 0.172271, 0.409299, 0.112022, -0.204637, 0.757049, 0.000000, 0.000000, 0.000000, 0.000000], [0.538185, -0.084745, 0.150991, 0.608791, 0.449177, -0.328619, 0.000000, 0.000000, 0.000000, 0.000000], [-0.027123, 0.636916, 0.276915, -0.418001, 0.581836, -0.060522, 0.000000, 0.000000, 0.000000, 0.000000], [0.461121, -0.035623, 0.358516, -0.427318, -0.469601, -0.504420, 0.000000, 0.000000, 0.000000, 0.000000], [-0.449482, 0.444796, 0.399832, 0.498995, -0.364760, -0.241270, 0.000000, 0.000000, 0.000000, 0.000000], [-0.345986, -0.598638, 0.666779, -0.102486, 0.253486, 0.050735, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.643781, 42.748377, 42.771862, 43.009472, 122.932630], [44.775733, 50.086389, 50.251531, 58.892384, 199.222123], [25.805429, 27.062959, 27.975949, 31.403218, 126.036453], [42.650986, 43.423157, 48.036773, 50.986031, 125.873584], [46.524284, 47.595186, 50.479893, 53.231980, 197.236976], [36.124408, 36.721559, 38.396881, 45.021543, 135.402497]]
### 2
mean: [-1.244389, -1.371912, 0.710698, -1.558888, 2.146460, -0.170549]
std: [1.541956, 1.842359, 1.248219, 3.461920, 1.724103, 0.811338]
pca: [[0.372337, -0.114226, 0.038636, 0.346363, -0.349081, 0.777817, 0.000000, 0.000000, 0.000000, 0.000000], [-0.261975, -0.626603, -0.405209, 0.403513, -0.359312, -0.287429, 0.000000, 0.000000, 0.000000, 0.000000], [-0.171984, -0.221661, 0.904384, 0.271063, -0.081584, -0.152467, 0.000000, 0.000000, 0.000000, 0.000000], [0.846744, -0.109879, 0.009080, 0.215512, 0.162117, -0.445130, 0.000000, 0.000000, 0.000000, 0.000000], [-0.140240, 0.703323, -0.092772, 0.650981, -0.144746, -0.179817, 0.000000, 0.000000, 0.000000, 0.000000], [-0.162826, -0.196086, -0.087827, 0.416549, 0.833755, 0.242207, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.916223, 27.321774, 29.358591, 30.106649, 111.995056], [29.396613, 29.470470, 29.873410, 30.415121, 123.472045], [18.198677, 18.414178, 22.429991, 24.963341, 63.962819], [59.601300, 60.830680, 65.528081, 71.416481, 140.299906], [27.803100, 31.367784, 31.998108, 33.230921, 193.181425], [13.125888, 13.604223, 15.349425, 15.486303, 16.155623]]
### 4
mean: [-1.188652, -0.257475, 0.027554, -1.175292, -0.519955, 0.882563]
std: [0.581008, 1.520422, 1.258287, 0.682115, 0.214762, 1.053851]
pca: [[0.014049, 0.568107, 0.221637, 0.603319, 0.008841, -0.513674, 0.000000, 0.000000, 0.000000, 0.000000], [0.686133, 0.216808, 0.280122, -0.528235, -0.253977, -0.245379, 0.000000, 0.000000, 0.000000, 0.000000], [0.565028, 0.209681, -0.562573, 0.361560, -0.080435, 0.427894, 0.000000, 0.000000, 0.000000, 0.000000], [-0.143543, 0.594105, -0.193948, -0.404117, 0.643658, 0.105888, 0.000000, 0.000000, 0.000000, 0.000000], [0.012656, 0.193619, 0.692254, 0.142159, 0.010036, 0.680313, 0.000000, 0.000000, 0.000000, 0.000000], [0.434744, -0.442530, 0.197712, 0.206707, 0.717322, -0.137099, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.880162, 9.962417, 10.095851, 12.133514, 106.978701], [22.153740, 23.172722, 23.611007, 24.818872, 26.185449], [17.981111, 18.931609, 19.935352, 21.133628, 21.413546], [9.933079, 9.937157, 12.245337, 14.868958, 105.776289], [3.186576, 3.326311, 3.747067, 3.895391, 46.795924], [14.685042, 15.017224, 16.621465, 16.931438, 79.430685]]
### 6
mean: [-0.430421, 0.424611, -0.907619, 1.713766, 0.553331, 0.420924]
std: [0.549244, 0.082722, 0.936820, 2.322654, 0.521137, 0.461670]
pca: [[-0.205478, -0.327271, -0.358275, 0.057195, 0.805815, -0.264011, 0.000000, 0.000000, 0.000000, 0.000000], [0.028961, -0.050186, 0.732834, 0.212987, 0.448840, 0.461276, 0.000000, 0.000000, 0.000000, 0.000000], [-0.351207, 0.499633, -0.175120, 0.771985, -0.015081, 0.012847, 0.000000, 0.000000, 0.000000, 0.000000], [0.876516, 0.336724, -0.159625, 0.150884, 0.252363, -0.080027, 0.000000, 0.000000, 0.000000, 0.000000], [-0.190959, 0.560147, 0.396123, -0.346186, 0.189243, -0.580688, 0.000000, 0.000000, 0.000000, 0.000000], [-0.169850, 0.462163, -0.348615, -0.461295, 0.222434, 0.611355, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.795734, 7.899137, 8.009299, 9.776402, 38.737886], [1.130340, 1.198106, 1.400979, 1.618188, 38.214970], [13.213668, 13.416384, 14.004336, 20.007014, 81.685750], [32.842074, 33.455410, 34.281233, 45.064703, 154.238941], [7.259062, 7.782416, 7.792196, 11.830247, 49.799784], [6.287660, 6.853228, 6.860752, 10.346970, 37.883128]]
### 8
mean: [0.731553, 1.150223, -0.660710, -0.695012, -0.434689, 1.074717]
std: [1.834154, 0.966174, 0.834670, 0.882362, 0.055569, 0.750890]
pca: [[0.735218, 0.228794, 0.196135, 0.503770, 0.117888, 0.317738, 0.000000, 0.000000, 0.000000, 0.000000], [-0.380303, 0.522861, 0.574726, 0.246672, -0.428830, -0.083270, 0.000000, 0.000000, 0.000000, 0.000000], [-0.330572, -0.373564, 0.116409, 0.681418, 0.440370, -0.281719, 0.000000, 0.000000, 0.000000, 0.000000], [-0.351879, -0.272257, -0.066713, 0.163985, -0.181756, 0.858883, 0.000000, 0.000000, 0.000000, 0.000000], [-0.007284, -0.141557, 0.709773, -0.440481, 0.493709, 0.195854, 0.000000, 0.000000, 0.000000, 0.000000], [-0.285789, 0.663745, -0.330819, -0.011132, 0.575758, 0.191585, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.228141, 25.909392, 27.050837, 36.397421, 65.839742], [13.716264, 14.076987, 14.907163, 20.320865, 103.520061], [12.205257, 12.253419, 12.317841, 15.710888, 59.463876], [12.513493, 12.715827, 13.035712, 17.026846, 62.551051], [0.872700, 0.915048, 0.977542, 1.041205, 39.122044], [10.276643, 11.933001, 12.214339, 15.847788, 96.724495]]
### 10
mean: [-1.391833]
std: [2.418913]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.915543, 34.567329, 37.190102, 49.740369, 125.264956]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [-1.365918, -2.213579, 1.400405, -1.398595, 2.191522, -1.504472]
std: [2.249377, 2.709698, 1.606437, 2.399370, 2.588012, 2.555124]
pca: [[0.418628, 0.172271, 0.409299, 0.112022, -0.204637, 0.757049, 0.000000, 0.000000, 0.000000, 0.000000], [0.538185, -0.084745, 0.150991, 0.608791, 0.449177, -0.328619, 0.000000, 0.000000, 0.000000, 0.000000], [-0.027123, 0.636916, 0.276915, -0.418001, 0.581836, -0.060522, 0.000000, 0.000000, 0.000000, 0.000000], [0.461121, -0.035623, 0.358516, -0.427318, -0.469601, -0.504420, 0.000000, 0.000000, 0.000000, 0.000000], [-0.449482, 0.444796, 0.399832, 0.498995, -0.364760, -0.241270, 0.000000, 0.000000, 0.000000, 0.000000], [-0.345986, -0.598638, 0.666779, -0.102486, 0.253486, 0.050735, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.643781, 42.748377, 42.771862, 43.009472, 122.932630], [44.775733, 50.086389, 50.251531, 58.892384, 199.222123], [25.805429, 27.062959, 27.975949, 31.403218, 126.036453], [42.650986, 43.423157, 48.036773, 50.986031, 125.873584], [46.524284, 47.595186, 50.479893, 53.231980, 197.236976], [36.124408, 36.721559, 38.396881, 45.021543, 135.402497]]
### 2
mean: [-1.244389, -1.371912, 0.710698, -1.558888, 2.146460, -0.170549]
std: [1.541956, 1.842359, 1.248219, 3.461920, 1.724103, 0.811338]
pca: [[0.372337, -0.114226, 0.038636, 0.346363, -0.349081, 0.777817, 0.000000, 0.000000, 0.000000, 0.000000], [-0.261975, -0.626603, -0.405209, 0.403513, -0.359312, -0.287429, 0.000000, 0.000000, 0.000000, 0.000000], [-0.171984, -0.221661, 0.904384, 0.271063, -0.081584, -0.152467, 0.000000, 0.000000, 0.000000, 0.000000], [0.846744, -0.109879, 0.009080, 0.215512, 0.162117, -0.445130, 0.000000, 0.000000, 0.000000, 0.000000], [-0.140240, 0.703323, -0.092772, 0.650981, -0.144746, -0.179817, 0.000000, 0.000000, 0.000000, 0.000000], [-0.162826, -0.196086, -0.087827, 0.416549, 0.833755, 0.242207, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.916223, 27.321774, 29.358591, 30.106649, 111.995056], [29.396613, 29.470470, 29.873410, 30.415121, 123.472045], [18.198677, 18.414178, 22.429991, 24.963341, 63.962819], [59.601300, 60.830680, 65.528081, 71.416481, 140.299906], [27.803100, 31.367784, 31.998108, 33.230921, 193.181425], [13.125888, 13.604223, 15.349425, 15.486303, 16.155623]]
### 4
mean: [-1.188652, -0.257475, 0.027554, -1.175292, -0.519955, 0.882563]
std: [0.581008, 1.520422, 1.258287, 0.682115, 0.214762, 1.053851]
pca: [[0.014049, 0.568107, 0.221637, 0.603319, 0.008841, -0.513674, 0.000000, 0.000000, 0.000000, 0.000000], [0.686133, 0.216808, 0.280122, -0.528235, -0.253977, -0.245379, 0.000000, 0.000000, 0.000000, 0.000000], [0.565028, 0.209681, -0.562573, 0.361560, -0.080435, 0.427894, 0.000000, 0.000000, 0.000000, 0.000000], [-0.143543, 0.594105, -0.193948, -0.404117, 0.643658, 0.105888, 0.000000, 0.000000, 0.000000, 0.000000], [0.012656, 0.193619, 0.692254, 0.142159, 0.010036, 0.680313, 0.000000, 0.000000, 0.000000, 0.000000], [0.434744, -0.442530, 0.197712, 0.206707, 0.717322, -0.137099, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.880162, 9.962417, 10.095851, 12.133514, 106.978701], [22.153740, 23.172722, 23.611007, 24.818872, 26.185449], [17.981111, 18.931609, 19.935352, 21.133628, 21.413546], [9.933079, 9.937157, 12.245337, 14.868958, 105.776289], [3.186576, 3.326311, 3.747067, 3.895391, 46.795924], [14.685042, 15.017224, 16.621465, 16.931438, 79.430685]]
### 6
mean: [-0.430421, 0.424611, -0.907619, 1.713766, 0.553331, 0.420924]
std: [0.549244, 0.082722, 0.936820, 2.322654, 0.521137, 0.461670]
pca: [[-0.205478, -0.327271, -0.358275, 0.057195, 0.805815, -0.264011, 0.000000, 0.000000, 0.000000, 0.000000], [0.028961, -0.050186, 0.732834, 0.212987, 0.448840, 0.461276, 0.000000, 0.000000, 0.000000, 0.000000], [-0.351207, 0.499633, -0.175120, 0.771985, -0.015081, 0.012847, 0.000000, 0.000000, 0.000000, 0.000000], [0.876516, 0.336724, -0.159625, 0.150884, 0.252363, -0.080027, 0.000000, 0.000000, 0.000000, 0.000000], [-0.190959, 0.560147, 0.396123, -0.346186, 0.189243, -0.580688, 0.000000, 0.000000, 0.000000, 0.000000], [-0.169850, 0.462163, -0.348615, -0.461295, 0.222434, 0.611355, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.795734, 7.899137, 8.009299, 9.776402, 38.737886], [1.130340, 1.198106, 1.400979, 1.618188, 38.214970], [13.213668, 13.416384, 14.004336, 20.007014, 81.685750], [32.842074, 33.455410, 34.281233, 45.064703, 154.238941], [7.259062, 7.782416, 7.792196, 11.830247, 49.799784], [6.287660, 6.853228, 6.860752, 10.346970, 37.883128]]
### 8
mean: [0.731553, 1.150223, -0.660710, -0.695012, -0.434689, 1.074717]
std: [1.834154, 0.966174, 0.834670, 0.882362, 0.055569, 0.750890]
pca: [[0.735218, 0.228794, 0.196135, 0.503770, 0.117888, 0.317738, 0.000000, 0.000000, 0.000000, 0.000000], [-0.380303, 0.522861, 0.574726, 0.246672, -0.428830, -0.083270, 0.000000, 0.000000, 0.000000, 0.000000], [-0.330572, -0.373564, 0.116409, 0.681418, 0.440370, -0.281719, 0.000000, 0.000000, 0.000000, 0.000000], [-0.351879, -0.272257, -0.066713, 0.163985, -0.181756, 0.858883, 0.000000, 0.000000, 0.000000, 0.000000], [-0.007284, -0.141557, 0.709773, -0.440481, 0.493709, 0.195854, 0.000000, 0.000000, 0.000000, 0.000000], [-0.285789, 0.663745, -0.330819, -0.011132, 0.575758, 0.191585, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.228141, 25.909392, 27.050837, 36.397421, 65.839742], [13.716264, 14.076987, 14.907163, 20.320865, 103.520061], [12.205257, 12.253419, 12.317841, 15.710888, 59.463876], [12.513493, 12.715827, 13.035712, 17.026846, 62.551051], [0.872700, 0.915048, 0.977542, 1.041205, 39.122044], [10.276643, 11.933001, 12.214339, 15.847788, 96.724495]]
### 10
mean: [-1.391833]
std: [2.418913]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.915543, 34.567329, 37.190102, 49.740369, 125.264956]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": -1.3659182786941528, "std": 2.249377489089966, "pca": [0.4186275601387024, 0.17227093875408173, 0.4092990756034851, 0.11202199757099152, -0.20463675260543823, 0.7570487260818481, 0.0, 0.0, 0.0, 0.0], "fourier": [42.64378139973522, 42.748377300545506, 42.77186168493832, 43.00947208987273, 122.93263038992882]}, "1": {"mean": -2.2135791778564453, "std": 2.709697961807251, "pca": [0.5381849408149719, -0.08474491536617279, 0.15099094808101654, 0.608791172504425, 0.44917720556259155, -0.3286185562610626, 0.0, 0.0, 0.0, 0.0], "fourier": [44.775732977197116, 50.086389306169195, 50.251530706764946, 58.89238414342996, 199.22212341427803]}, "2": {"mean": 1.4004050493240356, "std": 1.606436848640442, "pca": [-0.02712303400039673, 0.6369156241416931, 0.27691522240638733, -0.4180010259151459, 0.5818358659744263, -0.06052244082093239, 0.0, 0.0, 0.0, 0.0], "fourier": [25.805429458454014, 27.06295874318737, 27.975948815060907, 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{"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": [[-0.208714, 0.295639, -0.66252, 0.145307, -0.762466], [-0.48588, -0.015137, -0.810691, 0.280822, -0.656833], [0.280098, 0.425131, 0.237414, 0.192285, -0.533813], [-0.484899, 0.412773, -0.725424, -0.081829, -0.607248], [1.076499, -0.098807, 0.504322, 0.003459, -0.03421], [0.59967, -0.368331, 0.104079, -0.917019, 0.285933]], "network.0.bias": [0.367798, 0.319985, 0.027249, 0.892419, 0.01323, -0.18311], "network.2.weight": [[0.169719, 0.371167, -0.14185, 0.41833, -0.420285, -0.219776], [-0.829742, -0.680299, -0.940573, -0.209111, 0.301546, 0.361766], [0.334473, 0.26293, -0.433213, 0.563112, 0.344481, 0.702877], [0.566739, 0.557766, -0.042437, 0.820401, -1.018172, -0.544587], [0.029504, 0.34499, 0.934518, -0.280045, 0.206279, -0.538345], [-0.312194, -0.513307, -0.311749, 0.08511, 0.20368, 0.18269]], "network.2.bias": [-0.262772, -0.329093, 0.048176, 0.448635, 0.465197, -0.065762], "network.4.weight": [[0.298091, 0.009051, -0.289283, -0.142272, -0.316331, -0.0227], [0.034524, 0.564981, 0.2222, 0.905567, -0.412893, 0.066917], [0.529287, 0.722782, 0.01169, 0.673116, -0.333546, -0.022234], [-0.048169, 0.138708, -0.357766, -0.32591, -0.251849, -0.303685], [0.079178, -0.208606, 0.042198, -0.071202, -0.132818, -0.042901], [0.397144, 0.147134, 0.368074, 0.619613, 0.042334, 0.4048]], "network.4.bias": [-0.229882, -0.162258, 0.180877, -0.122087, -0.1941, -7.7e-05], "network.6.weight": [[0.048953, 0.036469, -0.24619, -0.101178, -0.208922, -0.354253], [0.358585, -0.221488, 0.33832, -0.353437, 0.361159, -0.00829], [-0.040029, -0.618979, -0.510316, 0.255372, -0.028086, 0.109581], [-0.119044, 1.007926, 0.628034, -0.210066, 0.33003, 0.784051], [-0.029446, -0.665606, -0.149548, 0.139347, 0.036548, 0.257885], [0.03782, -0.30441, -0.410693, -0.096767, -0.339187, 0.198552]], "network.6.bias": [-0.012621, 0.374067, -0.435224, 0.196953, 0.737307, 0.605754], "network.8.weight": [[0.30877, 0.259366, 0.405045, 0.714661, -0.280749, -0.282856], [-0.141405, 0.534904, 0.343396, -0.222922, 0.979473, 0.651173], [0.014812, 0.281354, -0.091624, -0.398405, -0.469619, 0.278753], [0.000713, 0.013518, -0.281636, -0.386263, -0.206738, 0.194058], [0.148141, 0.185975, 0.171821, -0.042527, 0.233926, -0.536492], [-0.140561, -0.026124, -0.30018, -0.093081, 0.881792, 0.849222]], "network.8.bias": [-0.287199, 0.368911, 0.057936, -0.005842, -0.320636, 0.271842], "network.10.weight": [[0.819368, -0.925012, -0.014887, -0.249312, -0.012101, -0.607853]], "network.10.bias": [-0.283683]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6790622472763062, "train_acc": 0.58, "val_loss": 0.6975328326225281, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.666396826505661, "train_acc": 0.595, "val_loss": 0.6817111372947693, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6307097673416138, "train_acc": 0.645, "val_loss": 0.6587767004966736, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5774519443511963, "train_acc": 0.735, "val_loss": 0.629932165145874, "val_acc": 0.64}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4765978306531906, "train_acc": 0.83, "val_loss": 0.5879238247871399, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.433254674077034, "train_acc": 0.815, "val_loss": 0.43708065152168274, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.34007708728313446, "train_acc": 0.88, "val_loss": 0.4162982106208801, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.25921981781721115, "train_acc": 0.92, "val_loss": 0.34505853056907654, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.23127467930316925, "train_acc": 0.945, "val_loss": 0.3260307013988495, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.20753543078899384, "train_acc": 0.95, "val_loss": 0.2914063334465027, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.16327552497386932, "train_acc": 0.955, "val_loss": 0.28161585330963135, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.14707250893115997, "train_acc": 0.96, "val_loss": 0.248590886592865, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.10357573814690113, "train_acc": 0.96, "val_loss": 0.23206619918346405, "val_acc": 0.88}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6975328326225281, "final_val_loss": 0.6587767004966736, "initial_val_acc": 0.5, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.629932165145874, "final_val_loss": 0.23206619918346405, "initial_val_acc": 0.64, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 8}, "improvement": 0.31999999999999995, "first_improvement_epoch": 2}}
|
9,791
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.74, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9348, "learning_rate": 0.09127430342262646, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.333513,
0.284309,
1.050493,
-0.270339
],
[
0.259547,
-0.096923,
-0.251572,
0.341976,
0.358151,
-0.141569
],
[
-0.151343,
-0.03685,
0.399205,
0.26908,
0.00232,
-0.173975
],
[
-0.113394,
0.271554,
0.569826,
-0.437629,
-0.290461,
-0.447433
]
],
"network.6.bias": [
-0.366773,
-0.032691,
0.821378,
0.493556,
-0.29329,
0.010024
],
"network.8.weight": [
[
-0.319754,
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-0.507788,
-0.179683,
-0.056071,
0.619357
],
[
-0.535063,
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0.426306,
0.337312,
0.286925
],
[
-0.088586,
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0.390312,
0.603911,
0.073726,
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],
[
-0.374277,
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0.402875,
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],
[
-0.400689,
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0.168733,
0.136153,
0.621472
],
[
-0.110377,
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]
],
"network.8.bias": [
-0.323845,
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0.610793,
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],
"network.10.weight": [
[
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0.096642
],
[
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0.021995,
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-0.058279,
0.195325
],
[
-0.326872,
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0.204245,
-0.163879,
-0.373197,
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],
[
-0.411697,
0.006271,
0.317772,
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0.072381
],
[
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0.26921,
0.871325,
0.643853,
0.149768
],
[
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]
],
"network.10.bias": [
-0.317516,
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],
"network.12.weight": [
[
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0.236739,
-0.538448,
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]
],
"network.12.bias": [
0.205328
]
}
## Activation Signature
### 0
mean: [-4.229474, -2.305111, 0.047707, -1.185927, -0.895940, -2.840378]
std: [2.430366, 2.238986, 2.270159, 1.042049, 2.398413, 2.649915]
pca: [[0.533682, -0.166969, -0.599310, -0.450864, 0.239671, 0.259636, 0.000000, 0.000000, 0.000000, 0.000000], [0.494158, -0.011981, 0.651794, -0.318978, 0.313180, -0.361940, 0.000000, 0.000000, 0.000000, 0.000000], [0.292476, 0.581774, 0.276275, 0.100329, -0.114225, 0.690330, 0.000000, 0.000000, 0.000000, 0.000000], [0.204159, -0.033456, -0.111444, 0.733003, 0.638178, -0.014637, 0.000000, 0.000000, 0.000000, 0.000000], [0.302021, 0.614258, -0.345740, 0.117020, -0.272257, -0.569312, 0.000000, 0.000000, 0.000000, 0.000000], [0.502545, -0.505059, 0.087795, 0.365953, -0.591636, 0.026504, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.958793, 41.970778, 44.041107, 47.975973, 380.652634], [33.049218, 35.122368, 42.761338, 45.460905, 207.459967], [33.090371, 33.703403, 36.688405, 37.902192, 40.073755], [16.380563, 18.468446, 20.429330, 22.184092, 106.733438], [36.700395, 36.822997, 43.023655, 49.119041, 80.634602], [43.395290, 44.419501, 49.213434, 49.871222, 255.633999]]
### 2
mean: [0.953513, -1.016722, 0.882024, 0.372935, 0.151122, 0.702798]
std: [2.196522, 1.177654, 1.196887, 0.456384, 0.653742, 1.311829]
pca: [[0.696445, -0.177060, 0.459889, 0.100418, -0.202154, 0.470283, 0.000000, 0.000000, 0.000000, 0.000000], [-0.372724, -0.353270, 0.119920, -0.015307, 0.626142, 0.574115, 0.000000, 0.000000, 0.000000, 0.000000], [0.378546, -0.400024, 0.137466, -0.363410, 0.479611, -0.561865, 0.000000, 0.000000, 0.000000, 0.000000], [0.133963, 0.781232, 0.184421, -0.450898, 0.332438, 0.154580, 0.000000, 0.000000, 0.000000, 0.000000], [-0.205488, 0.194636, 0.676347, 0.568324, 0.174551, -0.330131, 0.000000, 0.000000, 0.000000, 0.000000], [0.415418, 0.188742, -0.513584, 0.575599, 0.442798, 0.025532, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.134756, 38.117141, 38.502749, 48.709185, 85.816138], [16.740726, 19.946265, 21.427438, 26.117951, 91.504966], [18.052019, 20.056347, 21.318981, 26.586020, 79.382118], [6.772343, 7.584843, 9.281472, 9.309210, 33.564105], [10.121118, 10.936658, 11.024088, 13.601025, 14.655923], [18.825353, 21.448492, 23.345063, 29.246059, 63.251830]]
### 4
mean: [-1.665002, -2.259622, -1.422558, 0.291369, 0.795705, 2.356049]
std: [2.032538, 3.412923, 1.619487, 0.735269, 1.101866, 4.175949]
pca: [[-0.331407, -0.133466, 0.702247, 0.215742, -0.076707, -0.571644, 0.000000, 0.000000, 0.000000, 0.000000], [-0.556812, -0.140398, 0.256656, -0.613109, -0.137144, 0.457893, 0.000000, 0.000000, 0.000000, 0.000000], [-0.264212, -0.103022, 0.027914, 0.184965, 0.927347, 0.156889, 0.000000, 0.000000, 0.000000, 0.000000], [-0.119731, 0.247522, 0.250139, 0.661802, -0.247984, 0.601955, 0.000000, 0.000000, 0.000000, 0.000000], [-0.178531, 0.941077, 0.029172, -0.195270, 0.120555, -0.170254, 0.000000, 0.000000, 0.000000, 0.000000], [0.681258, 0.070489, 0.613822, -0.259286, 0.198256, 0.218188, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.298610, 34.556735, 35.346584, 45.108345, 149.850231], [50.366272, 58.888704, 58.959613, 75.907575, 203.365955], [23.881173, 28.107424, 28.167721, 35.959791, 128.030251], [10.977411, 12.277839, 13.227901, 16.550951, 26.223200], [16.186386, 18.308917, 19.404930, 25.081738, 71.613472], [61.140969, 72.593219, 73.007543, 93.056763, 212.044430]]
### 6
mean: [0.762367, 0.227334, 1.406399, 0.695920, -0.569791, -1.556805]
std: [3.424539, 1.102336, 1.700298, 0.840820, 0.786641, 1.648751]
pca: [[0.770541, -0.075814, -0.399033, 0.131844, -0.286375, 0.376694, 0.000000, 0.000000, 0.000000, 0.000000], [0.248022, 0.033095, 0.528256, 0.200082, 0.631289, 0.468803, 0.000000, 0.000000, 0.000000, 0.000000], [-0.378831, -0.667355, -0.409295, -0.088221, 0.241347, 0.421390, 0.000000, 0.000000, 0.000000, 0.000000], [-0.187849, -0.281018, 0.234868, 0.831547, -0.372966, 0.001904, 0.000000, 0.000000, 0.000000, 0.000000], [-0.176990, 0.024445, 0.434160, -0.409503, -0.566124, 0.539808, 0.000000, 0.000000, 0.000000, 0.000000], [-0.366914, 0.684270, -0.387992, 0.275022, 0.040173, 0.411533, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.942913, 59.585082, 60.030133, 68.613025, 77.367294], [16.027269, 19.115823, 19.302180, 20.460102, 24.952500], [24.742520, 28.749620, 29.992736, 39.284040, 126.575962], [12.215975, 14.304028, 14.874505, 19.423606, 62.632804], [11.483926, 13.701804, 13.816265, 17.786133, 51.281173], [24.156874, 28.079256, 28.883337, 35.679329, 140.112435]]
### 8
mean: [-1.978015, 2.035161, 1.027282, 1.875188, 1.042948, -1.063764]
std: [0.948087, 2.572250, 0.781928, 2.643649, 1.668709, 0.337086]
pca: [[0.193434, 0.861217, 0.035278, 0.014518, 0.070010, -0.463175, 0.000000, 0.000000, 0.000000, 0.000000], [0.611432, -0.065784, -0.188277, -0.352239, -0.679912, 0.004881, 0.000000, 0.000000, 0.000000, 0.000000], [0.179099, -0.370492, 0.606629, -0.347267, 0.204897, -0.547798, 0.000000, 0.000000, 0.000000, 0.000000], [0.628201, -0.136516, 0.156634, 0.730098, 0.157007, 0.067066, 0.000000, 0.000000, 0.000000, 0.000000], [0.396695, 0.011085, -0.362882, -0.430652, 0.681042, 0.248086, 0.000000, 0.000000, 0.000000, 0.000000], [0.068217, 0.312975, 0.662639, -0.191360, -0.048643, 0.647547, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.894789, 14.434352, 15.435999, 17.930215, 178.021342], [38.106611, 43.717236, 44.887631, 59.729658, 183.164476], [12.362171, 12.406774, 13.294084, 17.977533, 92.455416], [39.193206, 44.824728, 46.140832, 61.441530, 168.766875], [24.691217, 28.430028, 29.104265, 38.685701, 93.865333], [4.964378, 5.126571, 5.494273, 6.316837, 95.738786]]
### 10
mean: [-2.085186, -0.648374, -1.470437, -0.714581, 6.408817, 0.036487]
std: [0.962756, 0.206804, 0.663398, 0.379404, 3.498383, 0.173337]
pca: [[-0.258930, 0.568734, -0.226188, 0.131116, 0.237015, 0.696396, 0.000000, 0.000000, 0.000000, 0.000000], [-0.055410, 0.695038, -0.023231, -0.508145, 0.014044, -0.504880, 0.000000, 0.000000, 0.000000, 0.000000], [-0.178435, -0.011697, 0.575103, 0.157683, 0.765961, -0.160379, 0.000000, 0.000000, 0.000000, 0.000000], [-0.102022, 0.227053, 0.758843, 0.071604, -0.562685, 0.201133, 0.000000, 0.000000, 0.000000, 0.000000], [0.940994, 0.204165, 0.135291, 0.002575, 0.156509, 0.173327, 0.000000, 0.000000, 0.000000, 0.000000], [0.046569, 0.316369, -0.153002, 0.833426, -0.125784, -0.404859, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.059838, 16.079424, 16.632843, 21.402543, 187.666761], [3.062734, 3.565078, 3.577125, 4.497267, 58.353665], [9.775242, 10.989571, 11.477740, 14.829824, 132.339349], [5.552747, 6.331472, 6.583917, 8.452122, 64.312280], [51.584851, 57.940133, 60.414116, 78.158991, 576.793491], [2.617601, 2.802988, 2.989995, 3.283847, 3.924231]]
### 12
mean: [-3.277024]
std: [1.884610]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.724673, 31.293322, 32.562217, 42.039222, 294.932163]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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[
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],
[
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],
[
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],
[
-0.255437,
-0.6334,
0.205325,
-0.605848,
-0.783213
]
],
"network.0.bias": [
-0.446889,
-0.346707,
0.327228,
-0.11368,
0.049457,
0.467964
],
"network.2.weight": [
[
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0.177958,
1.06713,
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0.624021,
-0.22286
],
[
-0.228782,
-0.227479,
-0.700221,
0.091443,
-0.177762,
0.020244
],
[
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0.56839,
0.27941,
0.348288,
-0.282996
],
[
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-0.007049,
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-0.152129,
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],
[
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],
[
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0.105423,
0.29743,
-0.354127
]
],
"network.2.bias": [
-0.148297,
-0.381136,
0.313333,
0.06495,
0.458287,
0.027136
],
"network.4.weight": [
[
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0.053076,
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-0.105729,
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],
[
-0.731891,
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-0.73838,
0.058203,
-0.038696,
-0.744967
],
[
-0.180626,
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],
[
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0.097187,
0.054726,
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0.148078
],
[
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0.031489,
0.237866,
0.127375,
1.082888,
-0.174019
],
[
1.054346,
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0.64875,
0.499162,
-0.358782,
0.649246
]
],
"network.4.bias": [
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-0.351871,
-0.360093,
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0.768331,
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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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]
],
"network.8.bias": [
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-0.468276
],
"network.10.weight": [
[
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],
[
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],
[
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-0.373197,
-0.352744
],
[
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-0.215463,
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],
[
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0.871325,
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],
[
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0.015921,
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0.185687
]
],
"network.10.bias": [
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-0.242357,
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],
"network.12.weight": [
[
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0.198335,
0.236739,
-0.538448,
-0.241403
]
],
"network.12.bias": [
0.205328
]
}
## Activation Signature
### 0
mean: [-4.229474, -2.305111, 0.047707, -1.185927, -0.895940, -2.840378]
std: [2.430366, 2.238986, 2.270159, 1.042049, 2.398413, 2.649915]
pca: [[0.533682, -0.166969, -0.599310, -0.450864, 0.239671, 0.259636, 0.000000, 0.000000, 0.000000, 0.000000], [0.494158, -0.011981, 0.651794, -0.318978, 0.313180, -0.361940, 0.000000, 0.000000, 0.000000, 0.000000], [0.292476, 0.581774, 0.276275, 0.100329, -0.114225, 0.690330, 0.000000, 0.000000, 0.000000, 0.000000], [0.204159, -0.033456, -0.111444, 0.733003, 0.638178, -0.014637, 0.000000, 0.000000, 0.000000, 0.000000], [0.302021, 0.614258, -0.345740, 0.117020, -0.272257, -0.569312, 0.000000, 0.000000, 0.000000, 0.000000], [0.502545, -0.505059, 0.087795, 0.365953, -0.591636, 0.026504, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.958793, 41.970778, 44.041107, 47.975973, 380.652634], [33.049218, 35.122368, 42.761338, 45.460905, 207.459967], [33.090371, 33.703403, 36.688405, 37.902192, 40.073755], [16.380563, 18.468446, 20.429330, 22.184092, 106.733438], [36.700395, 36.822997, 43.023655, 49.119041, 80.634602], [43.395290, 44.419501, 49.213434, 49.871222, 255.633999]]
### 2
mean: [0.953513, -1.016722, 0.882024, 0.372935, 0.151122, 0.702798]
std: [2.196522, 1.177654, 1.196887, 0.456384, 0.653742, 1.311829]
pca: [[0.696445, -0.177060, 0.459889, 0.100418, -0.202154, 0.470283, 0.000000, 0.000000, 0.000000, 0.000000], [-0.372724, -0.353270, 0.119920, -0.015307, 0.626142, 0.574115, 0.000000, 0.000000, 0.000000, 0.000000], [0.378546, -0.400024, 0.137466, -0.363410, 0.479611, -0.561865, 0.000000, 0.000000, 0.000000, 0.000000], [0.133963, 0.781232, 0.184421, -0.450898, 0.332438, 0.154580, 0.000000, 0.000000, 0.000000, 0.000000], [-0.205488, 0.194636, 0.676347, 0.568324, 0.174551, -0.330131, 0.000000, 0.000000, 0.000000, 0.000000], [0.415418, 0.188742, -0.513584, 0.575599, 0.442798, 0.025532, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.134756, 38.117141, 38.502749, 48.709185, 85.816138], [16.740726, 19.946265, 21.427438, 26.117951, 91.504966], [18.052019, 20.056347, 21.318981, 26.586020, 79.382118], [6.772343, 7.584843, 9.281472, 9.309210, 33.564105], [10.121118, 10.936658, 11.024088, 13.601025, 14.655923], [18.825353, 21.448492, 23.345063, 29.246059, 63.251830]]
### 4
mean: [-1.665002, -2.259622, -1.422558, 0.291369, 0.795705, 2.356049]
std: [2.032538, 3.412923, 1.619487, 0.735269, 1.101866, 4.175949]
pca: [[-0.331407, -0.133466, 0.702247, 0.215742, -0.076707, -0.571644, 0.000000, 0.000000, 0.000000, 0.000000], [-0.556812, -0.140398, 0.256656, -0.613109, -0.137144, 0.457893, 0.000000, 0.000000, 0.000000, 0.000000], [-0.264212, -0.103022, 0.027914, 0.184965, 0.927347, 0.156889, 0.000000, 0.000000, 0.000000, 0.000000], [-0.119731, 0.247522, 0.250139, 0.661802, -0.247984, 0.601955, 0.000000, 0.000000, 0.000000, 0.000000], [-0.178531, 0.941077, 0.029172, -0.195270, 0.120555, -0.170254, 0.000000, 0.000000, 0.000000, 0.000000], [0.681258, 0.070489, 0.613822, -0.259286, 0.198256, 0.218188, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.298610, 34.556735, 35.346584, 45.108345, 149.850231], [50.366272, 58.888704, 58.959613, 75.907575, 203.365955], [23.881173, 28.107424, 28.167721, 35.959791, 128.030251], [10.977411, 12.277839, 13.227901, 16.550951, 26.223200], [16.186386, 18.308917, 19.404930, 25.081738, 71.613472], [61.140969, 72.593219, 73.007543, 93.056763, 212.044430]]
### 6
mean: [0.762367, 0.227334, 1.406399, 0.695920, -0.569791, -1.556805]
std: [3.424539, 1.102336, 1.700298, 0.840820, 0.786641, 1.648751]
pca: [[0.770541, -0.075814, -0.399033, 0.131844, -0.286375, 0.376694, 0.000000, 0.000000, 0.000000, 0.000000], [0.248022, 0.033095, 0.528256, 0.200082, 0.631289, 0.468803, 0.000000, 0.000000, 0.000000, 0.000000], [-0.378831, -0.667355, -0.409295, -0.088221, 0.241347, 0.421390, 0.000000, 0.000000, 0.000000, 0.000000], [-0.187849, -0.281018, 0.234868, 0.831547, -0.372966, 0.001904, 0.000000, 0.000000, 0.000000, 0.000000], [-0.176990, 0.024445, 0.434160, -0.409503, -0.566124, 0.539808, 0.000000, 0.000000, 0.000000, 0.000000], [-0.366914, 0.684270, -0.387992, 0.275022, 0.040173, 0.411533, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.942913, 59.585082, 60.030133, 68.613025, 77.367294], [16.027269, 19.115823, 19.302180, 20.460102, 24.952500], [24.742520, 28.749620, 29.992736, 39.284040, 126.575962], [12.215975, 14.304028, 14.874505, 19.423606, 62.632804], [11.483926, 13.701804, 13.816265, 17.786133, 51.281173], [24.156874, 28.079256, 28.883337, 35.679329, 140.112435]]
### 8
mean: [-1.978015, 2.035161, 1.027282, 1.875188, 1.042948, -1.063764]
std: [0.948087, 2.572250, 0.781928, 2.643649, 1.668709, 0.337086]
pca: [[0.193434, 0.861217, 0.035278, 0.014518, 0.070010, -0.463175, 0.000000, 0.000000, 0.000000, 0.000000], [0.611432, -0.065784, -0.188277, -0.352239, -0.679912, 0.004881, 0.000000, 0.000000, 0.000000, 0.000000], [0.179099, -0.370492, 0.606629, -0.347267, 0.204897, -0.547798, 0.000000, 0.000000, 0.000000, 0.000000], [0.628201, -0.136516, 0.156634, 0.730098, 0.157007, 0.067066, 0.000000, 0.000000, 0.000000, 0.000000], [0.396695, 0.011085, -0.362882, -0.430652, 0.681042, 0.248086, 0.000000, 0.000000, 0.000000, 0.000000], [0.068217, 0.312975, 0.662639, -0.191360, -0.048643, 0.647547, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.894789, 14.434352, 15.435999, 17.930215, 178.021342], [38.106611, 43.717236, 44.887631, 59.729658, 183.164476], [12.362171, 12.406774, 13.294084, 17.977533, 92.455416], [39.193206, 44.824728, 46.140832, 61.441530, 168.766875], [24.691217, 28.430028, 29.104265, 38.685701, 93.865333], [4.964378, 5.126571, 5.494273, 6.316837, 95.738786]]
### 10
mean: [-2.085186, -0.648374, -1.470437, -0.714581, 6.408817, 0.036487]
std: [0.962756, 0.206804, 0.663398, 0.379404, 3.498383, 0.173337]
pca: [[-0.258930, 0.568734, -0.226188, 0.131116, 0.237015, 0.696396, 0.000000, 0.000000, 0.000000, 0.000000], [-0.055410, 0.695038, -0.023231, -0.508145, 0.014044, -0.504880, 0.000000, 0.000000, 0.000000, 0.000000], [-0.178435, -0.011697, 0.575103, 0.157683, 0.765961, -0.160379, 0.000000, 0.000000, 0.000000, 0.000000], [-0.102022, 0.227053, 0.758843, 0.071604, -0.562685, 0.201133, 0.000000, 0.000000, 0.000000, 0.000000], [0.940994, 0.204165, 0.135291, 0.002575, 0.156509, 0.173327, 0.000000, 0.000000, 0.000000, 0.000000], [0.046569, 0.316369, -0.153002, 0.833426, -0.125784, -0.404859, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.059838, 16.079424, 16.632843, 21.402543, 187.666761], [3.062734, 3.565078, 3.577125, 4.497267, 58.353665], [9.775242, 10.989571, 11.477740, 14.829824, 132.339349], [5.552747, 6.331472, 6.583917, 8.452122, 64.312280], [51.584851, 57.940133, 60.414116, 78.158991, 576.793491], [2.617601, 2.802988, 2.989995, 3.283847, 3.924231]]
### 12
mean: [-3.277024]
std: [1.884610]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.724673, 31.293322, 32.562217, 42.039222, 294.932163]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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{"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": [[-0.385126, -0.256421, -0.530521, -0.710994, -0.164737], [-0.709012, -0.328451, 0.364512, -0.68931, 0.19394], [-0.90775, -0.049513, -0.033698, -0.046734, 0.900775], [-0.387072, -0.085957, -0.001867, -0.063012, -0.239107], [-0.827534, 0.004559, -0.504939, 0.030721, 0.863513], [-0.255437, -0.6334, 0.205325, -0.605848, -0.783213]], "network.0.bias": [-0.446889, -0.346707, 0.327228, -0.11368, 0.049457, 0.467964], "network.2.weight": [[0.064812, 0.177958, 1.06713, 0.308199, 0.624021, -0.22286], [-0.228782, -0.227479, -0.700221, 0.091443, -0.177762, 0.020244], [-0.398874, 0.014908, 0.56839, 0.27941, 0.348288, -0.282996], [-0.472684, -0.007049, 0.44323, 0.406875, -0.152129, 0.494438], [-0.050848, -0.136405, -0.404084, 0.300235, -0.061298, 0.40355], [-0.458231, 0.445866, 0.688187, 0.105423, 0.29743, -0.354127]], "network.2.bias": [-0.148297, -0.381136, 0.313333, 0.06495, 0.458287, 0.027136], "network.4.weight": [[-0.586114, 0.053076, -0.492594, 0.221912, -0.105729, -0.215505], [-0.731891, -0.701534, -0.73838, 0.058203, -0.038696, -0.744967], [-0.180626, 0.020934, -0.693922, -0.134076, -0.075435, -0.271217], [-0.46426, -0.088513, 0.097187, 0.054726, 0.383117, 0.148078], [-0.476934, 0.031489, 0.237866, 0.127375, 1.082888, -0.174019], [1.054346, 0.414983, 0.64875, 0.499162, -0.358782, 0.649246]], "network.4.bias": [-0.531822, -0.351871, -0.360093, 0.418074, 0.768331, 0.198212], "network.6.weight": [[-0.563918, -0.112487, -0.052685, -0.434971, -0.416106, 0.7513], [0.033083, 0.399002, 0.010599, 0.161303, -0.356254, 0.232999], [0.057196, 0.186459, 0.333513, 0.284309, 1.050493, -0.270339], [0.259547, -0.096923, -0.251572, 0.341976, 0.358151, -0.141569], [-0.151343, -0.03685, 0.399205, 0.26908, 0.00232, -0.173975], [-0.113394, 0.271554, 0.569826, -0.437629, -0.290461, -0.447433]], "network.6.bias": [-0.366773, -0.032691, 0.821378, 0.493556, -0.29329, 0.010024], "network.8.weight": [[-0.319754, -0.356839, -0.507788, -0.179683, -0.056071, 0.619357], [-0.535063, -0.018489, 0.856304, 0.426306, 0.337312, 0.286925], [-0.088586, 0.111488, 0.390312, 0.603911, 0.073726, -0.004429], [-0.374277, -0.514987, 0.957231, 0.402875, -0.188965, -0.010527], [-0.400689, 0.107466, 0.553988, 0.168733, 0.136153, 0.621472], [-0.110377, -0.138983, -0.348239, 0.267797, -0.213658, 0.203714]], "network.8.bias": [-0.323845, 0.928457, -0.103736, 0.610793, 0.442158, -0.468276], "network.10.weight": [[-0.51254, -0.046004, -0.108621, -0.59415, -0.040602, 0.096642], [-0.127144, 0.256856, 0.021995, -0.390656, -0.058279, 0.195325], [-0.326872, -0.198792, 0.204245, -0.163879, -0.373197, -0.352744], [-0.411697, 0.006271, 0.317772, -0.215463, -0.370132, 0.072381], [-0.003205, 1.20185, 0.26921, 0.871325, 0.643853, 0.149768], [-0.213381, 0.195372, 0.015921, -0.257976, 0.308409, 0.185687]], "network.10.bias": [-0.317516, -0.28409, -0.242357, -0.018097, -0.070903, -0.29166], "network.12.weight": [[-0.11738, 0.112586, 0.198335, 0.236739, -0.538448, -0.241403]], "network.12.bias": [0.205328]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6815997958183289, "train_acc": 0.565, "val_loss": 0.7193843126296997, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6905665397644043, "train_acc": 0.565, "val_loss": 0.6955949664115906, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6795183718204498, "train_acc": 0.565, "val_loss": 0.6882326006889343, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6685470044612885, "train_acc": 0.565, "val_loss": 0.672028660774231, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6590663492679596, "train_acc": 0.495, "val_loss": 0.6010753512382507, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5671917796134949, "train_acc": 0.745, "val_loss": 0.49740132689476013, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5283958315849304, "train_acc": 0.735, "val_loss": 0.48456084728240967, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5042446851730347, "train_acc": 0.75, "val_loss": 0.497005432844162, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.47959668934345245, "train_acc": 0.75, "val_loss": 0.4838646352291107, "val_acc": 0.74}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.48445360362529755, "train_acc": 0.75, "val_loss": 0.48944777250289917, "val_acc": 0.74}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.47321248054504395, "train_acc": 0.75, "val_loss": 0.5106987357139587, "val_acc": 0.72}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.4948568642139435, "train_acc": 0.745, "val_loss": 0.5486062169075012, "val_acc": 0.68}], "summary": {"total_epochs": 12, "degraded_epochs": 4, "improved_epochs": 8, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.7193843126296997, "final_val_loss": 0.672028660774231, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.6010753512382507, "final_val_loss": 0.5486062169075012, "initial_val_acc": 0.72, "final_val_acc": 0.68, "best_val_acc": 0.74, "best_epoch": 5}, "improvement": 0.21999999999999997, "first_improvement_epoch": 3}}
|
9,792
|
{"target_pattern": "contains_abc", "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": 9742, "learning_rate": 0.02983313961461015, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.066248,
-0.250325,
0.252379,
0.288301,
-0.192422
],
[
-0.373501,
0.069519,
-0.099784,
-0.429893,
0.336063
],
[
0.184923,
0.506785,
0.404106,
-0.162244,
-0.178002
],
[
0.144402,
-0.347844,
-0.52014,
-0.015603,
-0.725801
],
[
0.401996,
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0.472785,
0.296107,
0.208438
]
],
"network.0.bias": [
0.806608,
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-0.396367,
-0.213119,
0.154929
],
"network.2.weight": [
[
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0.537909,
-0.048909,
0.389205
],
[
0.25715,
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0.627913,
-0.509071
],
[
-0.064628,
-0.032014,
-0.252741,
-0.222883,
-0.357755
],
[
-0.249045,
-0.452435,
0.648385,
-0.02551,
0.399556
],
[
-0.131992,
-0.598543,
0.707078,
-0.126971,
0.465109
]
],
"network.2.bias": [
-0.393031,
-0.018028,
-0.341251,
0.161914,
-0.266785
],
"network.4.weight": [
[
0.41095,
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0.587631,
0.222664,
0.52429
],
[
0.207826,
0.172235,
0.555244,
0.272935,
0.432254
],
[
-0.803206,
0.721727,
-0.327366,
-0.71366,
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],
[
0.577595,
0.466417,
0.506656,
-0.047448,
0.362349
],
[
0.26705,
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0.321748,
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0.723307
]
],
"network.4.bias": [
-0.391707,
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0.44456,
0.048397,
-0.623275
],
"network.6.weight": [
[
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0.264373,
0.684827
],
[
0.199348,
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0.272223,
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],
[
0.061241,
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0.39855,
0.352265,
0.541422
],
[
0.914494,
0.44979,
0.323998,
0.445142,
0.600079
],
[
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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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],
[
0.335009,
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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": [
0.258377
]
}
## Activation Signature
### 0
mean: [1.176135, -0.938914, 1.033906, -2.682398, 3.053762]
std: [0.754502, 1.145294, 1.508772, 1.936978, 1.949614]
pca: [[0.014016, 0.140735, -0.507776, 0.814384, 0.242773, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.182156, -0.620369, 0.399750, 0.172880, 0.626318, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.410730, 0.355265, 0.723251, 0.413626, -0.104444, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.586531, 0.659043, 0.149274, -0.137370, 0.424842, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.673725, 0.186508, -0.192323, -0.341956, 0.597819, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.023745, 11.163558, 12.791000, 17.141852, 105.852181], [17.695050, 18.109638, 19.842609, 21.148270, 84.502226], [25.007269, 25.397435, 26.128783, 28.091693, 93.051525], [32.561341, 32.622823, 37.527683, 38.693728, 241.415832], [30.554415, 31.240021, 31.469638, 40.135579, 274.838653]]
### 2
mean: [1.706261, -1.785619, -1.763108, 1.820890, 1.784036]
std: [1.423247, 1.490731, 1.005414, 1.606789, 1.800634]
pca: [[0.423297, 0.742669, 0.252198, -0.352390, 0.285449, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.448466, 0.250810, 0.696732, 0.089616, -0.492449, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.300352, -0.380559, 0.465469, -0.271734, 0.688812, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.483463, -0.458960, 0.245208, -0.558303, -0.428708, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.543830, -0.173402, 0.417340, 0.694441, 0.133266, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.723847, 22.851924, 23.580134, 26.776200, 153.563508], [22.858364, 24.113604, 25.718755, 28.503472, 160.705750], [15.481066, 16.050923, 16.996113, 19.800791, 158.679701], [25.597245, 25.714217, 27.572396, 28.474225, 163.880152], [29.297665, 29.350028, 30.474932, 31.838987, 160.563208]]
### 4
mean: [1.542679, 1.267931, -2.617996, 1.491285, 1.808183]
std: [1.918433, 1.545887, 2.755862, 1.431837, 2.422219]
pca: [[-0.413246, 0.000113, 0.234718, 0.259412, 0.840738, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.332873, 0.279289, 0.060654, 0.791815, -0.424904, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.593358, 0.417318, 0.678307, 0.090207, 0.074392, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.307531, -0.581823, 0.677788, -0.136067, -0.298322, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.521320, 0.639785, 0.147418, -0.528283, -0.134483, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.048463, 30.855329, 30.942082, 33.065422, 138.841136], [24.200550, 24.809247, 25.048251, 26.444919, 114.113759], [43.688882, 44.447636, 45.726992, 49.249621, 235.619694], [22.257660, 22.498824, 23.065795, 24.740893, 134.215676], [38.127222, 38.808589, 39.090644, 41.191815, 162.736466]]
### 6
mean: [3.093322, 0.790996, 2.579025, 3.512261, -3.590326]
std: [3.969420, 0.248081, 2.980868, 4.406816, 3.872699]
pca: [[0.516292, -0.469611, 0.147220, -0.012281, 0.700773, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.025584, 0.658197, 0.615511, 0.313396, 0.298415, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.387819, -0.171372, -0.072052, 0.823038, -0.371006, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.573381, 0.015162, 0.442896, -0.459667, -0.513375, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.503606, -0.562711, 0.630971, 0.113786, -0.136623, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[61.853908, 63.499807, 64.095056, 66.416835, 278.398958], [4.009221, 4.662724, 4.701030, 4.918717, 71.189661], [46.603309, 47.024507, 48.585969, 49.412706, 232.112250], [68.352391, 69.130353, 72.448175, 72.586298, 316.103450], [60.521981, 61.131559, 62.089846, 65.386050, 323.129374]]
### 8
mean: [0.151601, 0.248929, 5.877258, 4.779694, 0.080496]
std: [0.229698, 0.484056, 7.761584, 6.196553, 0.072677]
pca: [[-0.022980, 0.063456, -0.655415, 0.494854, 0.566565, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.046339, 0.826041, -0.278156, -0.487893, 0.009966, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.780454, -0.250466, -0.082280, -0.444078, 0.352395, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.623058, 0.379499, 0.062420, 0.539261, -0.416030, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.003781, 0.326920, 0.694546, 0.170508, 0.617771, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.396253, 3.787517, 3.837838, 3.859466, 13.644135], [6.905166, 7.151075, 8.812493, 9.965335, 22.403589], [119.733999, 125.634440, 126.643046, 129.516840, 528.953200], [96.065181, 99.290911, 101.364588, 102.482488, 430.172474], [1.069411, 1.121763, 1.262840, 1.705392, 7.244637]]
### 10
mean: [-5.404609]
std: [7.435153]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[114.005043, 121.072951, 121.885864, 122.753633, 486.414798]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.066248,
-0.250325,
0.252379,
0.288301,
-0.192422
],
[
-0.373501,
0.069519,
-0.099784,
-0.429893,
0.336063
],
[
0.184923,
0.506785,
0.404106,
-0.162244,
-0.178002
],
[
0.144402,
-0.347844,
-0.52014,
-0.015603,
-0.725801
],
[
0.401996,
0.284773,
0.472785,
0.296107,
0.208438
]
],
"network.0.bias": [
0.806608,
0.11505,
-0.396367,
-0.213119,
0.154929
],
"network.2.weight": [
[
0.297614,
0.050894,
0.537909,
-0.048909,
0.389205
],
[
0.25715,
0.172241,
-0.425294,
0.627913,
-0.509071
],
[
-0.064628,
-0.032014,
-0.252741,
-0.222883,
-0.357755
],
[
-0.249045,
-0.452435,
0.648385,
-0.02551,
0.399556
],
[
-0.131992,
-0.598543,
0.707078,
-0.126971,
0.465109
]
],
"network.2.bias": [
-0.393031,
-0.018028,
-0.341251,
0.161914,
-0.266785
],
"network.4.weight": [
[
0.41095,
0.235329,
0.587631,
0.222664,
0.52429
],
[
0.207826,
0.172235,
0.555244,
0.272935,
0.432254
],
[
-0.803206,
0.721727,
-0.327366,
-0.71366,
-0.259094
],
[
0.577595,
0.466417,
0.506656,
-0.047448,
0.362349
],
[
0.26705,
0.528237,
0.321748,
0.440141,
0.723307
]
],
"network.4.bias": [
-0.391707,
-0.262211,
0.44456,
0.048397,
-0.623275
],
"network.6.weight": [
[
0.661264,
0.521808,
0.769617,
0.264373,
0.684827
],
[
0.199348,
0.161528,
-0.556009,
0.272223,
-0.356087
],
[
0.061241,
0.736785,
0.39855,
0.352265,
0.541422
],
[
0.914494,
0.44979,
0.323998,
0.445142,
0.600079
],
[
-0.441099,
-0.65064,
0.43907,
-0.394653,
-0.639972
]
],
"network.6.bias": [
-0.303662,
0.568256,
0.007762,
-0.281476,
-0.301329
],
"network.8.weight": [
[
-0.29745,
-0.150149,
0.477088,
-0.105284,
-0.252637
],
[
-0.758376,
0.469783,
0.554778,
0.177689,
-0.637457
],
[
0.715332,
-0.602527,
0.521229,
0.80571,
0.692679
],
[
0.335009,
-0.061367,
0.665965,
0.667613,
0.105257
],
[
0.148422,
0.470274,
-0.270443,
0.0234,
-0.047386
]
],
"network.8.bias": [
0.333799,
0.267957,
-0.18505,
-0.321613,
-0.079592
],
"network.10.weight": [
[
0.180044,
0.497667,
-0.651359,
-0.381767,
-0.004356
]
],
"network.10.bias": [
0.258377
]
}
## Activation Signature
### 0
mean: [1.176135, -0.938914, 1.033906, -2.682398, 3.053762]
std: [0.754502, 1.145294, 1.508772, 1.936978, 1.949614]
pca: [[0.014016, 0.140735, -0.507776, 0.814384, 0.242773, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.182156, -0.620369, 0.399750, 0.172880, 0.626318, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.410730, 0.355265, 0.723251, 0.413626, -0.104444, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.586531, 0.659043, 0.149274, -0.137370, 0.424842, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.673725, 0.186508, -0.192323, -0.341956, 0.597819, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.023745, 11.163558, 12.791000, 17.141852, 105.852181], [17.695050, 18.109638, 19.842609, 21.148270, 84.502226], [25.007269, 25.397435, 26.128783, 28.091693, 93.051525], [32.561341, 32.622823, 37.527683, 38.693728, 241.415832], [30.554415, 31.240021, 31.469638, 40.135579, 274.838653]]
### 2
mean: [1.706261, -1.785619, -1.763108, 1.820890, 1.784036]
std: [1.423247, 1.490731, 1.005414, 1.606789, 1.800634]
pca: [[0.423297, 0.742669, 0.252198, -0.352390, 0.285449, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.448466, 0.250810, 0.696732, 0.089616, -0.492449, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.300352, -0.380559, 0.465469, -0.271734, 0.688812, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.483463, -0.458960, 0.245208, -0.558303, -0.428708, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.543830, -0.173402, 0.417340, 0.694441, 0.133266, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.723847, 22.851924, 23.580134, 26.776200, 153.563508], [22.858364, 24.113604, 25.718755, 28.503472, 160.705750], [15.481066, 16.050923, 16.996113, 19.800791, 158.679701], [25.597245, 25.714217, 27.572396, 28.474225, 163.880152], [29.297665, 29.350028, 30.474932, 31.838987, 160.563208]]
### 4
mean: [1.542679, 1.267931, -2.617996, 1.491285, 1.808183]
std: [1.918433, 1.545887, 2.755862, 1.431837, 2.422219]
pca: [[-0.413246, 0.000113, 0.234718, 0.259412, 0.840738, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.332873, 0.279289, 0.060654, 0.791815, -0.424904, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.593358, 0.417318, 0.678307, 0.090207, 0.074392, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.307531, -0.581823, 0.677788, -0.136067, -0.298322, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.521320, 0.639785, 0.147418, -0.528283, -0.134483, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.048463, 30.855329, 30.942082, 33.065422, 138.841136], [24.200550, 24.809247, 25.048251, 26.444919, 114.113759], [43.688882, 44.447636, 45.726992, 49.249621, 235.619694], [22.257660, 22.498824, 23.065795, 24.740893, 134.215676], [38.127222, 38.808589, 39.090644, 41.191815, 162.736466]]
### 6
mean: [3.093322, 0.790996, 2.579025, 3.512261, -3.590326]
std: [3.969420, 0.248081, 2.980868, 4.406816, 3.872699]
pca: [[0.516292, -0.469611, 0.147220, -0.012281, 0.700773, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.025584, 0.658197, 0.615511, 0.313396, 0.298415, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.387819, -0.171372, -0.072052, 0.823038, -0.371006, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.573381, 0.015162, 0.442896, -0.459667, -0.513375, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.503606, -0.562711, 0.630971, 0.113786, -0.136623, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[61.853908, 63.499807, 64.095056, 66.416835, 278.398958], [4.009221, 4.662724, 4.701030, 4.918717, 71.189661], [46.603309, 47.024507, 48.585969, 49.412706, 232.112250], [68.352391, 69.130353, 72.448175, 72.586298, 316.103450], [60.521981, 61.131559, 62.089846, 65.386050, 323.129374]]
### 8
mean: [0.151601, 0.248929, 5.877258, 4.779694, 0.080496]
std: [0.229698, 0.484056, 7.761584, 6.196553, 0.072677]
pca: [[-0.022980, 0.063456, -0.655415, 0.494854, 0.566565, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.046339, 0.826041, -0.278156, -0.487893, 0.009966, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.780454, -0.250466, -0.082280, -0.444078, 0.352395, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.623058, 0.379499, 0.062420, 0.539261, -0.416030, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.003781, 0.326920, 0.694546, 0.170508, 0.617771, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.396253, 3.787517, 3.837838, 3.859466, 13.644135], [6.905166, 7.151075, 8.812493, 9.965335, 22.403589], [119.733999, 125.634440, 126.643046, 129.516840, 528.953200], [96.065181, 99.290911, 101.364588, 102.482488, 430.172474], [1.069411, 1.121763, 1.262840, 1.705392, 7.244637]]
### 10
mean: [-5.404609]
std: [7.435153]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[114.005043, 121.072951, 121.885864, 122.753633, 486.414798]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 1.1761354207992554, "std": 0.7545017600059509, "pca": [0.01401647087186575, 0.14073532819747925, -0.5077760815620422, 0.8143842816352844, 0.24277321994304657, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [11.023745413064923, 11.163557785617527, 12.790999859535942, 17.14185244169865, 105.85218101739883]}, "1": {"mean": -0.9389135837554932, "std": 1.1452938318252563, "pca": [-0.1821557581424713, -0.6203687787055969, 0.39974960684776306, 0.17288024723529816, 0.6263182759284973, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [17.69505035592314, 18.109638337931987, 19.842609293501656, 21.148269711371544, 84.5022260248661]}, "2": {"mean": 1.0339057445526123, "std": 1.5087718963623047, "pca": [0.41072991490364075, 0.3552648723125458, 0.7232514023780823, 0.41362619400024414, -0.10444404184818268, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [25.007268680334644, 25.397434574503265, 26.128782761183647, 28.091692939946867, 93.05152539908886]}, "3": {"mean": 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"fourier": [96.06518120049722, 99.29091135946211, 101.36458824927325, 102.48248812037498, 430.17247396707535]}, "4": {"mean": 0.08049596101045609, "std": 0.07267699390649796, "pca": [-0.003781205276027322, 0.3269203305244446, 0.694546103477478, 0.1705079823732376, 0.6177714467048645, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [1.0694108113029794, 1.121763496788394, 1.262840005401817, 1.705392054557001, 7.244636595249176]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -5.404608726501465, "std": 7.435153007507324, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [114.00504298509115, 121.07295145265921, 121.88586381125835, 122.75363276344731, 486.4147978425026]}}, "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": [[-0.066248, -0.250325, 0.252379, 0.288301, -0.192422], [-0.373501, 0.069519, -0.099784, -0.429893, 0.336063], [0.184923, 0.506785, 0.404106, -0.162244, -0.178002], [0.144402, -0.347844, -0.52014, -0.015603, -0.725801], [0.401996, 0.284773, 0.472785, 0.296107, 0.208438]], "network.0.bias": [0.806608, 0.11505, -0.396367, -0.213119, 0.154929], "network.2.weight": [[0.297614, 0.050894, 0.537909, -0.048909, 0.389205], [0.25715, 0.172241, -0.425294, 0.627913, -0.509071], [-0.064628, -0.032014, -0.252741, -0.222883, -0.357755], [-0.249045, -0.452435, 0.648385, -0.02551, 0.399556], [-0.131992, -0.598543, 0.707078, -0.126971, 0.465109]], "network.2.bias": [-0.393031, -0.018028, -0.341251, 0.161914, -0.266785], "network.4.weight": [[0.41095, 0.235329, 0.587631, 0.222664, 0.52429], [0.207826, 0.172235, 0.555244, 0.272935, 0.432254], [-0.803206, 0.721727, -0.327366, -0.71366, -0.259094], [0.577595, 0.466417, 0.506656, -0.047448, 0.362349], [0.26705, 0.528237, 0.321748, 0.440141, 0.723307]], "network.4.bias": [-0.391707, -0.262211, 0.44456, 0.048397, -0.623275], "network.6.weight": [[0.661264, 0.521808, 0.769617, 0.264373, 0.684827], [0.199348, 0.161528, -0.556009, 0.272223, -0.356087], [0.061241, 0.736785, 0.39855, 0.352265, 0.541422], [0.914494, 0.44979, 0.323998, 0.445142, 0.600079], [-0.441099, -0.65064, 0.43907, -0.394653, -0.639972]], "network.6.bias": [-0.303662, 0.568256, 0.007762, -0.281476, -0.301329], "network.8.weight": [[-0.29745, -0.150149, 0.477088, -0.105284, -0.252637], [-0.758376, 0.469783, 0.554778, 0.177689, -0.637457], [0.715332, -0.602527, 0.521229, 0.80571, 0.692679], [0.335009, -0.061367, 0.665965, 0.667613, 0.105257], [0.148422, 0.470274, -0.270443, 0.0234, -0.047386]], "network.8.bias": [0.333799, 0.267957, -0.18505, -0.321613, -0.079592], "network.10.weight": [[0.180044, 0.497667, -0.651359, -0.381767, -0.004356]], "network.10.bias": [0.258377]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6901154816150665, "train_acc": 0.57, "val_loss": 0.6943996548652649, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6850655674934387, "train_acc": 0.57, "val_loss": 0.6870388984680176, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.663721114397049, "train_acc": 0.57, "val_loss": 0.6571900844573975, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6550895273685455, "train_acc": 0.505, "val_loss": 0.5703861117362976, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6045974791049957, "train_acc": 0.505, "val_loss": 0.48945462703704834, "val_acc": 0.48}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5312104225158691, "train_acc": 0.535, "val_loss": 0.42840468883514404, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4929922968149185, "train_acc": 0.675, "val_loss": 0.3859849274158478, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.43334516882896423, "train_acc": 0.75, "val_loss": 0.3390241265296936, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.37459254264831543, "train_acc": 0.885, "val_loss": 0.30003777146339417, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.32632024586200714, "train_acc": 0.915, "val_loss": 0.2568521797657013, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2924157381057739, "train_acc": 0.9, "val_loss": 0.22296051681041718, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2375372275710106, "train_acc": 0.935, "val_loss": 0.19133377075195312, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.20238298177719116, "train_acc": 0.92, "val_loss": 0.15121573209762573, "val_acc": 0.96}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6943996548652649, "final_val_loss": 0.6571900844573975, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5703861117362976, "final_val_loss": 0.15121573209762573, "initial_val_acc": 0.48, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 9}, "improvement": 0.48, "first_improvement_epoch": 2}}
|
9,793
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.92, "improvement": 0.44000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5206, "learning_rate": 0.0427054219521411, "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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
mean: [-0.463155, 2.664154, -2.401005, -0.536782, 1.641541, 0.649383, 0.079754, 1.532767]
std: [2.398686, 2.248777, 1.848117, 1.836084, 3.156410, 1.820406, 1.177318, 1.567804]
pca: [[-0.449274, 0.071304, -0.536678, 0.032741, 0.207400, -0.129231, 0.597983, -0.294404, 0.000000, 0.000000], [0.300870, 0.608016, -0.263066, 0.251577, -0.434002, -0.124898, -0.176983, -0.414751, 0.000000, 0.000000], [-0.271548, 0.091424, 0.684784, 0.561767, 0.041983, -0.203034, 0.199872, -0.224629, 0.000000, 0.000000], [-0.352638, -0.058425, -0.260658, 0.531228, -0.398720, 0.347798, -0.067574, 0.487421, 0.000000, 0.000000], [0.573229, -0.527612, -0.125271, 0.403476, 0.041772, 0.260859, 0.267995, -0.270065, 0.000000, 0.000000], [0.325765, 0.300194, 0.190250, -0.173230, -0.266442, 0.019921, 0.695886, 0.426511, 0.000000, 0.000000], [-0.019824, 0.430735, 0.109477, -0.008282, 0.408788, 0.787345, 0.000524, -0.122481, 0.000000, 0.000000], [0.272819, 0.243797, -0.205008, 0.380764, 0.606666, -0.342283, -0.102466, 0.428279, 0.000000, 0.000000]]
fourier: [[40.467320, 41.020406, 41.683917, 45.011104, 47.430676], [36.875091, 38.779858, 41.485488, 46.811047, 239.773847], [29.504277, 33.198457, 34.445418, 37.500292, 216.090476], [30.058501, 32.365631, 36.449319, 36.477249, 48.310340], [51.717508, 51.902716, 59.264257, 61.184171, 147.738722], [29.346325, 30.233297, 30.765369, 33.330843, 58.444512], [17.380702, 17.788030, 19.071905, 19.276662, 19.810357], [24.387700, 26.816475, 27.668498, 30.329889, 137.949065]]
### 2
mean: [-2.148866, -2.437612, -2.245322, -1.304110, -1.974003, 4.778672, 3.139753, -1.736841]
std: [1.667294, 2.187772, 3.160640, 2.231515, 2.579580, 3.960757, 3.550119, 1.188323]
pca: [[-0.207495, 0.143394, 0.708574, 0.169121, -0.049705, 0.303615, -0.556602, 0.035303, 0.000000, 0.000000], [-0.186830, 0.718102, -0.269926, -0.061301, -0.409214, -0.215747, -0.165760, 0.362390, 0.000000, 0.000000], [-0.425309, -0.248207, -0.405014, 0.743918, 0.021137, 0.088159, -0.141892, 0.108187, 0.000000, 0.000000], [-0.294268, -0.239260, -0.345985, -0.593982, 0.208170, 0.372541, -0.372340, 0.250764, 0.000000, 0.000000], [-0.353078, -0.127806, 0.172861, -0.094454, -0.520249, 0.439141, 0.583991, 0.125098, 0.000000, 0.000000], [0.533760, -0.368895, 0.064175, 0.103724, -0.272875, -0.029055, -0.128697, 0.687220, 0.000000, 0.000000], [0.474585, 0.366057, -0.257554, 0.186170, 0.080353, 0.721662, 0.025643, -0.108940, 0.000000, 0.000000], [-0.140586, 0.241869, 0.202454, 0.084101, 0.659329, 0.015070, 0.381682, 0.541342, 0.000000, 0.000000]]
fourier: [[29.121054, 30.322793, 32.016068, 34.612427, 193.397939], [35.354475, 37.940017, 42.598398, 42.881455, 219.385039], [51.102604, 52.851727, 56.616566, 70.841355, 202.078965], [37.671462, 39.554560, 41.100150, 51.351756, 117.369880], [43.981352, 44.960554, 45.135365, 49.313137, 177.660241], [66.239988, 69.134241, 69.510595, 71.168891, 430.080476], [59.377076, 63.824390, 64.531766, 71.332941, 282.577783], [19.763879, 20.630933, 23.853908, 24.087082, 156.315750]]
### 4
mean: [3.271757, 4.442850, -1.662424, -2.281404, -2.030587, -2.453927, 6.127228, -3.299535]
std: [3.031445, 3.738115, 1.507596, 1.674089, 2.475932, 2.229246, 5.446169, 3.174656]
pca: [[0.339090, -0.415533, 0.504784, -0.399199, -0.042566, 0.168980, -0.054539, 0.514629, 0.000000, 0.000000], [0.421059, 0.461039, 0.114526, 0.516845, -0.003907, -0.201729, 0.250490, 0.475870, 0.000000, 0.000000], [-0.158519, 0.615394, 0.389457, -0.192197, -0.091085, 0.006482, -0.631797, -0.006369, 0.000000, 0.000000], [-0.184256, -0.173109, 0.564045, 0.178226, 0.569686, -0.448709, 0.086674, -0.229733, 0.000000, 0.000000], [-0.278460, 0.144265, -0.401850, -0.428954, 0.415086, -0.347428, 0.024592, 0.512402, 0.000000, 0.000000], [-0.249238, 0.378060, 0.268211, -0.301523, 0.032795, 0.389183, 0.687905, -0.079662, 0.000000, 0.000000], [0.616334, 0.177838, -0.169119, -0.188257, 0.592562, 0.273351, -0.108051, -0.294853, 0.000000, 0.000000], [-0.359334, -0.103594, -0.015192, 0.440964, 0.375276, 0.618450, -0.205203, 0.316302, 0.000000, 0.000000]]
fourier: [[50.519231, 50.541872, 53.788523, 65.210327, 294.458144], [59.366120, 62.229270, 65.250973, 75.048340, 399.856515], [25.318089, 27.236036, 29.397203, 29.804113, 149.618179], [27.495449, 27.558011, 29.948984, 31.213328, 205.326327], [38.776821, 41.612395, 43.193372, 53.241545, 182.752886], [38.333948, 39.094424, 39.944153, 42.155970, 220.853437], [84.094077, 93.561863, 96.305056, 107.354127, 551.450480], [48.578515, 54.350329, 55.843352, 63.507187, 296.958140]]
### 6
mean: [-3.044357, -1.512532, -2.310249, -3.192672, 9.558843, -2.552159, -4.859134, -1.274121]
std: [2.989706, 1.082529, 1.708009, 2.517599, 8.071249, 1.760086, 4.701282, 0.968898]
pca: [[-0.283838, -0.396956, 0.541512, 0.561606, -0.055090, 0.035451, -0.261422, -0.283887, 0.000000, 0.000000], [-0.102550, 0.094997, 0.418286, -0.302969, 0.037893, -0.213658, 0.663066, -0.476407, 0.000000, 0.000000], [-0.162501, 0.045417, 0.107314, -0.342977, 0.795631, 0.232947, -0.352548, -0.175494, 0.000000, 0.000000], [-0.237669, 0.775374, 0.096630, 0.397608, 0.019661, 0.393258, 0.132604, 0.047512, 0.000000, 0.000000], [0.768045, 0.008758, 0.217878, -0.042114, -0.135970, 0.503329, -0.076355, -0.288320, 0.000000, 0.000000], [-0.166933, 0.348344, -0.071972, -0.288533, -0.449113, -0.216264, -0.542696, -0.468366, 0.000000, 0.000000], [-0.447161, -0.324894, -0.256654, -0.254974, -0.290206, 0.661262, 0.171951, -0.112045, 0.000000, 0.000000], [-0.091179, 0.056190, 0.626439, -0.408713, -0.240218, 0.082467, -0.142167, 0.586805, 0.000000, 0.000000]]
fourier: [[48.588128, 51.245545, 53.360135, 61.690534, 273.992085], [18.249773, 19.174903, 19.343717, 20.815841, 136.127844], [26.753531, 29.985707, 30.132846, 33.777563, 207.922373], [43.207560, 44.158355, 45.335202, 45.813752, 287.340474], [123.855776, 141.325696, 141.667884, 161.352711, 860.295830], [29.038045, 30.660162, 31.581572, 33.103785, 229.694280], [71.660496, 81.751082, 82.268957, 95.610683, 437.322088], [17.030706, 17.215314, 17.472980, 18.537707, 114.670897]]
### 8
mean: [4.579414, -2.836621, 2.638944, 4.108587, 1.868770, -4.843286, 5.439080, 4.793965]
std: [4.033723, 2.826598, 2.065770, 3.945353, 1.599065, 4.670295, 4.575151, 3.848458]
pca: [[-0.395199, 0.067139, 0.515763, -0.199350, -0.168464, -0.295852, 0.472113, 0.441316, 0.000000, 0.000000], [0.276928, 0.105344, 0.284077, 0.524777, -0.544858, 0.471500, 0.186787, 0.045290, 0.000000, 0.000000], [-0.202305, 0.370854, -0.314205, -0.005291, 0.063297, 0.086958, 0.672143, -0.509355, 0.000000, 0.000000], [-0.386533, -0.168778, 0.496684, -0.284479, 0.076294, 0.494651, -0.205007, -0.449393, 0.000000, 0.000000], [-0.156129, 0.811581, 0.174826, 0.120700, -0.071718, -0.222163, -0.454663, -0.102998, 0.000000, 0.000000], [0.457547, 0.273760, 0.331826, -0.041635, 0.695436, 0.229339, 0.184895, 0.182893, 0.000000, 0.000000], [-0.448237, 0.175937, -0.390340, 0.018546, 0.112244, 0.550480, -0.086368, 0.540679, 0.000000, 0.000000], [-0.377031, -0.231977, 0.121784, 0.766333, 0.404411, -0.181485, 0.007187, -0.073480, 0.000000, 0.000000]]
fourier: [[61.015349, 70.297384, 70.318583, 82.025531, 412.147306], [42.599912, 49.340517, 49.348340, 57.229746, 255.295898], [31.401186, 35.710660, 35.886747, 42.534526, 237.505003], [59.530490, 68.866242, 68.929709, 79.846884, 369.772793], [24.612186, 27.184733, 27.520893, 33.679853, 168.189273], [70.510997, 81.560006, 81.621798, 94.396201, 435.895706], [69.189793, 79.616201, 79.738371, 93.195050, 489.517196], [58.114922, 67.209896, 67.263477, 77.774918, 431.456832]]
### 10
mean: [-6.449825]
std: [5.770482]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[87.702457, 100.477591, 100.671706, 117.609754, 580.484294]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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],
"network.6.bias": [
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"network.10.bias": [
0.387507
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}
## Activation Signature
### 0
mean: [-0.463155, 2.664154, -2.401005, -0.536782, 1.641541, 0.649383, 0.079754, 1.532767]
std: [2.398686, 2.248777, 1.848117, 1.836084, 3.156410, 1.820406, 1.177318, 1.567804]
pca: [[-0.449274, 0.071304, -0.536678, 0.032741, 0.207400, -0.129231, 0.597983, -0.294404, 0.000000, 0.000000], [0.300870, 0.608016, -0.263066, 0.251577, -0.434002, -0.124898, -0.176983, -0.414751, 0.000000, 0.000000], [-0.271548, 0.091424, 0.684784, 0.561767, 0.041983, -0.203034, 0.199872, -0.224629, 0.000000, 0.000000], [-0.352638, -0.058425, -0.260658, 0.531228, -0.398720, 0.347798, -0.067574, 0.487421, 0.000000, 0.000000], [0.573229, -0.527612, -0.125271, 0.403476, 0.041772, 0.260859, 0.267995, -0.270065, 0.000000, 0.000000], [0.325765, 0.300194, 0.190250, -0.173230, -0.266442, 0.019921, 0.695886, 0.426511, 0.000000, 0.000000], [-0.019824, 0.430735, 0.109477, -0.008282, 0.408788, 0.787345, 0.000524, -0.122481, 0.000000, 0.000000], [0.272819, 0.243797, -0.205008, 0.380764, 0.606666, -0.342283, -0.102466, 0.428279, 0.000000, 0.000000]]
fourier: [[40.467320, 41.020406, 41.683917, 45.011104, 47.430676], [36.875091, 38.779858, 41.485488, 46.811047, 239.773847], [29.504277, 33.198457, 34.445418, 37.500292, 216.090476], [30.058501, 32.365631, 36.449319, 36.477249, 48.310340], [51.717508, 51.902716, 59.264257, 61.184171, 147.738722], [29.346325, 30.233297, 30.765369, 33.330843, 58.444512], [17.380702, 17.788030, 19.071905, 19.276662, 19.810357], [24.387700, 26.816475, 27.668498, 30.329889, 137.949065]]
### 2
mean: [-2.148866, -2.437612, -2.245322, -1.304110, -1.974003, 4.778672, 3.139753, -1.736841]
std: [1.667294, 2.187772, 3.160640, 2.231515, 2.579580, 3.960757, 3.550119, 1.188323]
pca: [[-0.207495, 0.143394, 0.708574, 0.169121, -0.049705, 0.303615, -0.556602, 0.035303, 0.000000, 0.000000], [-0.186830, 0.718102, -0.269926, -0.061301, -0.409214, -0.215747, -0.165760, 0.362390, 0.000000, 0.000000], [-0.425309, -0.248207, -0.405014, 0.743918, 0.021137, 0.088159, -0.141892, 0.108187, 0.000000, 0.000000], [-0.294268, -0.239260, -0.345985, -0.593982, 0.208170, 0.372541, -0.372340, 0.250764, 0.000000, 0.000000], [-0.353078, -0.127806, 0.172861, -0.094454, -0.520249, 0.439141, 0.583991, 0.125098, 0.000000, 0.000000], [0.533760, -0.368895, 0.064175, 0.103724, -0.272875, -0.029055, -0.128697, 0.687220, 0.000000, 0.000000], [0.474585, 0.366057, -0.257554, 0.186170, 0.080353, 0.721662, 0.025643, -0.108940, 0.000000, 0.000000], [-0.140586, 0.241869, 0.202454, 0.084101, 0.659329, 0.015070, 0.381682, 0.541342, 0.000000, 0.000000]]
fourier: [[29.121054, 30.322793, 32.016068, 34.612427, 193.397939], [35.354475, 37.940017, 42.598398, 42.881455, 219.385039], [51.102604, 52.851727, 56.616566, 70.841355, 202.078965], [37.671462, 39.554560, 41.100150, 51.351756, 117.369880], [43.981352, 44.960554, 45.135365, 49.313137, 177.660241], [66.239988, 69.134241, 69.510595, 71.168891, 430.080476], [59.377076, 63.824390, 64.531766, 71.332941, 282.577783], [19.763879, 20.630933, 23.853908, 24.087082, 156.315750]]
### 4
mean: [3.271757, 4.442850, -1.662424, -2.281404, -2.030587, -2.453927, 6.127228, -3.299535]
std: [3.031445, 3.738115, 1.507596, 1.674089, 2.475932, 2.229246, 5.446169, 3.174656]
pca: [[0.339090, -0.415533, 0.504784, -0.399199, -0.042566, 0.168980, -0.054539, 0.514629, 0.000000, 0.000000], [0.421059, 0.461039, 0.114526, 0.516845, -0.003907, -0.201729, 0.250490, 0.475870, 0.000000, 0.000000], [-0.158519, 0.615394, 0.389457, -0.192197, -0.091085, 0.006482, -0.631797, -0.006369, 0.000000, 0.000000], [-0.184256, -0.173109, 0.564045, 0.178226, 0.569686, -0.448709, 0.086674, -0.229733, 0.000000, 0.000000], [-0.278460, 0.144265, -0.401850, -0.428954, 0.415086, -0.347428, 0.024592, 0.512402, 0.000000, 0.000000], [-0.249238, 0.378060, 0.268211, -0.301523, 0.032795, 0.389183, 0.687905, -0.079662, 0.000000, 0.000000], [0.616334, 0.177838, -0.169119, -0.188257, 0.592562, 0.273351, -0.108051, -0.294853, 0.000000, 0.000000], [-0.359334, -0.103594, -0.015192, 0.440964, 0.375276, 0.618450, -0.205203, 0.316302, 0.000000, 0.000000]]
fourier: [[50.519231, 50.541872, 53.788523, 65.210327, 294.458144], [59.366120, 62.229270, 65.250973, 75.048340, 399.856515], [25.318089, 27.236036, 29.397203, 29.804113, 149.618179], [27.495449, 27.558011, 29.948984, 31.213328, 205.326327], [38.776821, 41.612395, 43.193372, 53.241545, 182.752886], [38.333948, 39.094424, 39.944153, 42.155970, 220.853437], [84.094077, 93.561863, 96.305056, 107.354127, 551.450480], [48.578515, 54.350329, 55.843352, 63.507187, 296.958140]]
### 6
mean: [-3.044357, -1.512532, -2.310249, -3.192672, 9.558843, -2.552159, -4.859134, -1.274121]
std: [2.989706, 1.082529, 1.708009, 2.517599, 8.071249, 1.760086, 4.701282, 0.968898]
pca: [[-0.283838, -0.396956, 0.541512, 0.561606, -0.055090, 0.035451, -0.261422, -0.283887, 0.000000, 0.000000], [-0.102550, 0.094997, 0.418286, -0.302969, 0.037893, -0.213658, 0.663066, -0.476407, 0.000000, 0.000000], [-0.162501, 0.045417, 0.107314, -0.342977, 0.795631, 0.232947, -0.352548, -0.175494, 0.000000, 0.000000], [-0.237669, 0.775374, 0.096630, 0.397608, 0.019661, 0.393258, 0.132604, 0.047512, 0.000000, 0.000000], [0.768045, 0.008758, 0.217878, -0.042114, -0.135970, 0.503329, -0.076355, -0.288320, 0.000000, 0.000000], [-0.166933, 0.348344, -0.071972, -0.288533, -0.449113, -0.216264, -0.542696, -0.468366, 0.000000, 0.000000], [-0.447161, -0.324894, -0.256654, -0.254974, -0.290206, 0.661262, 0.171951, -0.112045, 0.000000, 0.000000], [-0.091179, 0.056190, 0.626439, -0.408713, -0.240218, 0.082467, -0.142167, 0.586805, 0.000000, 0.000000]]
fourier: [[48.588128, 51.245545, 53.360135, 61.690534, 273.992085], [18.249773, 19.174903, 19.343717, 20.815841, 136.127844], [26.753531, 29.985707, 30.132846, 33.777563, 207.922373], [43.207560, 44.158355, 45.335202, 45.813752, 287.340474], [123.855776, 141.325696, 141.667884, 161.352711, 860.295830], [29.038045, 30.660162, 31.581572, 33.103785, 229.694280], [71.660496, 81.751082, 82.268957, 95.610683, 437.322088], [17.030706, 17.215314, 17.472980, 18.537707, 114.670897]]
### 8
mean: [4.579414, -2.836621, 2.638944, 4.108587, 1.868770, -4.843286, 5.439080, 4.793965]
std: [4.033723, 2.826598, 2.065770, 3.945353, 1.599065, 4.670295, 4.575151, 3.848458]
pca: [[-0.395199, 0.067139, 0.515763, -0.199350, -0.168464, -0.295852, 0.472113, 0.441316, 0.000000, 0.000000], [0.276928, 0.105344, 0.284077, 0.524777, -0.544858, 0.471500, 0.186787, 0.045290, 0.000000, 0.000000], [-0.202305, 0.370854, -0.314205, -0.005291, 0.063297, 0.086958, 0.672143, -0.509355, 0.000000, 0.000000], [-0.386533, -0.168778, 0.496684, -0.284479, 0.076294, 0.494651, -0.205007, -0.449393, 0.000000, 0.000000], [-0.156129, 0.811581, 0.174826, 0.120700, -0.071718, -0.222163, -0.454663, -0.102998, 0.000000, 0.000000], [0.457547, 0.273760, 0.331826, -0.041635, 0.695436, 0.229339, 0.184895, 0.182893, 0.000000, 0.000000], [-0.448237, 0.175937, -0.390340, 0.018546, 0.112244, 0.550480, -0.086368, 0.540679, 0.000000, 0.000000], [-0.377031, -0.231977, 0.121784, 0.766333, 0.404411, -0.181485, 0.007187, -0.073480, 0.000000, 0.000000]]
fourier: [[61.015349, 70.297384, 70.318583, 82.025531, 412.147306], [42.599912, 49.340517, 49.348340, 57.229746, 255.295898], [31.401186, 35.710660, 35.886747, 42.534526, 237.505003], [59.530490, 68.866242, 68.929709, 79.846884, 369.772793], [24.612186, 27.184733, 27.520893, 33.679853, 168.189273], [70.510997, 81.560006, 81.621798, 94.396201, 435.895706], [69.189793, 79.616201, 79.738371, 93.195050, 489.517196], [58.114922, 67.209896, 67.263477, 77.774918, 431.456832]]
### 10
mean: [-6.449825]
std: [5.770482]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[87.702457, 100.477591, 100.671706, 117.609754, 580.484294]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6937232911586761, "train_acc": 0.475, "val_loss": 0.7010076642036438, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6774262487888336, "train_acc": 0.555, "val_loss": 0.6685223579406738, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6227864027023315, "train_acc": 0.555, "val_loss": 0.5600863099098206, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5297368168830872, "train_acc": 0.585, "val_loss": 0.39839813113212585, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.3835306018590927, "train_acc": 0.865, "val_loss": 0.34582847356796265, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.36302077770233154, "train_acc": 0.86, "val_loss": 0.2912687063217163, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3889548033475876, "train_acc": 0.845, "val_loss": 0.2872619926929474, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3628298193216324, "train_acc": 0.865, "val_loss": 0.2871919870376587, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.331328809261322, "train_acc": 0.87, "val_loss": 0.28991881012916565, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3477793484926224, "train_acc": 0.875, "val_loss": 0.2878367602825165, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.32406866550445557, "train_acc": 0.88, "val_loss": 0.28551241755485535, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.31977567076683044, "train_acc": 0.885, "val_loss": 0.27132391929626465, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3131897896528244, "train_acc": 0.885, "val_loss": 0.2473163604736328, "val_acc": 0.92}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7010076642036438, "final_val_loss": 0.5600863099098206, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.39839813113212585, "final_val_loss": 0.2473163604736328, "initial_val_acc": 0.88, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 12}, "improvement": 0.44000000000000006, "first_improvement_epoch": 2}}
|
9,794
|
{"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": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6307, "learning_rate": 0.06598581607960101, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
mean: [-3.113199, 0.551740, -0.168277, -0.676934, -1.648850, -0.123466, -0.780074, -2.333761]
std: [2.118313, 1.816405, 2.541584, 2.079538, 0.993305, 2.137733, 1.309030, 1.836853]
pca: [[0.371308, 0.314620, 0.608434, -0.251055, -0.436346, -0.301370, 0.103699, 0.194804, 0.000000, 0.000000], [0.387586, 0.151868, -0.486003, 0.040227, 0.048242, -0.028083, -0.177043, 0.744605, 0.000000, 0.000000], [0.550555, -0.423972, 0.055752, 0.606095, -0.233192, 0.175194, 0.215264, -0.123562, 0.000000, 0.000000], [0.370437, 0.409544, -0.413054, -0.085681, -0.214297, -0.068438, -0.316456, -0.605263, 0.000000, 0.000000], [0.168082, 0.103859, 0.343866, -0.124686, 0.141015, 0.788550, -0.428696, 0.041178, 0.000000, 0.000000], [0.366813, -0.493764, 0.147795, -0.293375, 0.471780, -0.394340, -0.352385, -0.107138, 0.000000, 0.000000], [0.312173, 0.044892, -0.165331, -0.472279, 0.283098, 0.260960, 0.701968, -0.095640, 0.000000, 0.000000], [0.106387, 0.523324, 0.229051, 0.485795, 0.619974, -0.166122, 0.103466, -0.060688, 0.000000, 0.000000]]
fourier: [[32.897914, 33.669118, 41.778143, 42.286861, 280.187943], [25.758094, 26.755289, 32.087525, 39.526155, 49.656620], [39.515944, 39.786977, 42.313083, 46.191408, 47.438455], [32.222829, 33.515589, 35.276891, 50.729070, 60.924039], [14.688007, 15.406669, 17.460134, 20.296549, 148.396494], [31.190297, 33.372321, 33.450414, 38.384562, 44.584698], [20.785915, 20.823906, 22.990542, 23.507161, 70.206624], [25.713613, 26.228975, 33.027966, 36.221578, 210.038529]]
### 2
mean: [1.996239, 2.263190, 1.912565, 1.705718, -1.213820, 0.100866, 2.686084, -1.154290]
std: [2.221581, 2.533396, 2.222490, 1.674037, 1.565440, 0.320843, 2.695274, 1.583875]
pca: [[0.364104, 0.885383, -0.153158, -0.083295, 0.090038, -0.049624, 0.203203, 0.035610, 0.000000, 0.000000], [0.456885, -0.357871, -0.121806, 0.115398, -0.034446, -0.382927, 0.540468, 0.441708, 0.000000, 0.000000], [0.404704, -0.000993, 0.394937, -0.133027, -0.056964, 0.316096, -0.476306, 0.576639, 0.000000, 0.000000], [0.303471, -0.167167, -0.168111, 0.124229, 0.022111, 0.815934, 0.339330, -0.234274, 0.000000, 0.000000], [-0.284368, 0.068386, -0.234662, 0.512212, 0.639585, 0.126005, -0.079313, 0.407177, 0.000000, 0.000000], [-0.005023, 0.174770, 0.494901, 0.755746, -0.364789, -0.034521, 0.100189, -0.095139, 0.000000, 0.000000], [0.490885, -0.150104, 0.248190, 0.106897, 0.567980, -0.241125, -0.220425, -0.483886, 0.000000, 0.000000], [-0.284509, 0.048243, 0.644886, -0.318867, 0.349616, 0.100148, 0.509582, 0.085077, 0.000000, 0.000000]]
fourier: [[35.296838, 36.216180, 41.102508, 46.534602, 179.661488], [35.513342, 35.592606, 40.257450, 51.078905, 203.687106], [31.728533, 34.150955, 34.583931, 45.045914, 172.130800], [22.834503, 24.017339, 26.300634, 34.425269, 153.514620], [22.953962, 23.490309, 24.640707, 31.018123, 109.243826], [5.240847, 5.830993, 5.852316, 6.835642, 9.077944], [37.743048, 40.029904, 42.487628, 55.003674, 241.747541], [22.056341, 22.596569, 25.195637, 33.531581, 103.886074]]
### 4
mean: [5.471502, -3.740565, 5.435153, 7.215128, -1.566893, 6.624753, 6.434230, -1.549973]
std: [5.986930, 3.388009, 5.790923, 7.566932, 1.101051, 7.000195, 6.811362, 1.255227]
pca: [[0.389312, -0.518874, -0.184121, 0.624483, 0.033335, -0.137307, 0.310453, -0.197437, 0.000000, 0.000000], [-0.220362, 0.236928, 0.297845, 0.506608, 0.702750, -0.056554, -0.177801, 0.145849, 0.000000, 0.000000], [0.376901, 0.121251, -0.375247, 0.206251, -0.047120, 0.585672, -0.382206, 0.410585, 0.000000, 0.000000], [0.492429, -0.258755, 0.717412, -0.143350, -0.022306, 0.083160, -0.368020, -0.111708, 0.000000, 0.000000], [-0.070629, 0.362338, 0.265062, 0.240641, -0.195596, 0.596982, 0.359995, -0.459691, 0.000000, 0.000000], [0.455613, 0.168945, 0.037186, -0.358394, 0.431103, 0.063014, 0.608506, 0.271928, 0.000000, 0.000000], [0.442839, 0.654787, -0.095039, 0.146938, -0.180737, -0.495443, -0.147133, -0.211536, 0.000000, 0.000000], [-0.081595, 0.066353, 0.375799, 0.286942, -0.495519, -0.148994, 0.262605, 0.654737, 0.000000, 0.000000]]
fourier: [[89.117638, 92.932987, 94.640766, 125.403653, 492.435219], [50.073533, 52.896935, 53.658742, 70.922164, 336.650828], [84.304665, 89.927264, 90.529961, 120.676432, 489.163811], [111.462299, 117.559463, 118.008291, 159.085011, 649.361545], [17.121970, 17.833027, 18.170208, 22.913770, 141.020377], [101.828250, 108.323093, 109.634217, 146.228944, 596.227794], [97.619234, 103.677420, 106.723394, 141.663713, 579.080695], [18.472777, 19.990055, 20.013502, 25.933422, 139.497544]]
### 6
mean: [-8.021539, -10.324056, 18.085241, -7.420225, -2.653517, -10.105482, -4.799981, 14.256840]
std: [8.304492, 10.910154, 19.335443, 7.683133, 2.503255, 10.581306, 4.926813, 15.198406]
pca: [[-0.263361, 0.077587, 0.317706, 0.103183, 0.805416, 0.005874, -0.383510, -0.131256, 0.000000, 0.000000], [-0.345996, 0.097608, -0.270959, -0.188925, 0.352010, 0.012110, 0.511700, 0.612987, 0.000000, 0.000000], [0.613191, 0.082999, 0.157359, 0.152654, 0.070272, -0.078006, -0.317845, 0.676014, 0.000000, 0.000000], [-0.243645, -0.229175, 0.660900, -0.164710, -0.244676, 0.552991, 0.036927, 0.239099, 0.000000, 0.000000], [-0.079353, -0.239035, 0.333649, 0.713724, -0.016933, -0.365740, 0.425787, 0.022244, 0.000000, 0.000000], [-0.335502, 0.742173, 0.277303, -0.042680, -0.323818, -0.360493, -0.119091, 0.094360, 0.000000, 0.000000], [-0.156219, 0.311342, -0.334923, 0.622491, -0.087353, 0.592061, -0.133145, 0.055667, 0.000000, 0.000000], [0.481974, 0.469202, 0.252389, -0.067156, 0.223194, 0.271436, 0.524871, -0.283476, 0.000000, 0.000000]]
fourier: [[121.315444, 129.021762, 129.885507, 173.698430, 721.938508], [159.384184, 169.647540, 170.934931, 227.919540, 929.164926], [282.021447, 300.097642, 302.977908, 403.915595, 1627.671976], [111.711095, 118.670903, 120.334670, 160.668715, 667.820262], [36.093685, 38.345129, 39.166116, 52.288608, 238.816474], [155.695240, 164.998459, 165.427224, 221.702777, 909.493313], [72.432386, 76.913259, 77.156473, 103.004183, 431.998319], [220.953458, 235.254494, 238.512149, 317.153560, 1283.115773]]
### 8
mean: [14.566994, -1.908486, 19.757235, -6.864740, -1.199992, -14.969589, -7.480182, 17.782351]
std: [15.655059, 1.588467, 21.184767, 7.294878, 0.984816, 15.717427, 7.715227, 18.982338]
pca: [[0.415812, 0.560538, 0.311722, -0.385151, 0.066471, 0.069763, 0.018899, 0.507684, 0.000000, 0.000000], [-0.042189, -0.275486, 0.033806, -0.075083, 0.881765, 0.302725, -0.184695, 0.110830, 0.000000, 0.000000], [0.562686, -0.236246, -0.499545, 0.321774, 0.024800, 0.055934, 0.406550, 0.324749, 0.000000, 0.000000], [-0.193758, 0.419614, 0.019050, 0.272322, 0.013126, 0.708128, 0.400289, -0.223632, 0.000000, 0.000000], [-0.026150, 0.435562, 0.046595, 0.394559, 0.445374, -0.609756, 0.228215, -0.171790, 0.000000, 0.000000], [-0.417469, 0.137262, -0.101442, 0.486796, -0.100163, 0.031789, -0.365302, 0.644305, 0.000000, 0.000000], [-0.204922, -0.402216, 0.634304, 0.090454, -0.046133, -0.083782, 0.541609, 0.288474, 0.000000, 0.000000], [0.504188, -0.087657, 0.486801, 0.517198, -0.082255, 0.138148, -0.401434, -0.215966, 0.000000, 0.000000]]
fourier: [[227.800565, 242.752808, 246.039058, 326.705481, 1311.029470], [23.039515, 24.563067, 24.995570, 33.115517, 171.763770], [308.615386, 328.818482, 332.795059, 442.264399, 1778.151051], [106.388435, 113.334866, 114.544806, 152.345203, 617.826654], [14.487826, 15.403845, 15.414055, 20.622310, 107.999308], [228.963253, 243.952800, 246.909901, 328.123053, 1347.263000], [112.223841, 119.596371, 121.272427, 160.989806, 673.216335], [276.481763, 294.588787, 298.217925, 396.263023, 1600.411742]]
### 10
mean: [24.485081, 22.526066, 29.071739, 8.376438, -11.802265, -11.749410, -3.784385, -3.799135]
std: [26.417540, 24.301756, 31.325274, 9.242230, 12.083552, 12.410106, 3.953278, 3.680306]
pca: [[0.509886, -0.087301, 0.366708, 0.543068, 0.218711, -0.107002, -0.491749, -0.043560, 0.000000, 0.000000], [0.469049, -0.014748, 0.205554, -0.028170, -0.044286, 0.029237, 0.525128, 0.676871, 0.000000, 0.000000], [0.604610, 0.179099, -0.100178, -0.242954, 0.042385, -0.016452, 0.332008, -0.648854, 0.000000, 0.000000], [0.178384, 0.625335, -0.205633, -0.268213, 0.171895, 0.439055, -0.417493, 0.257476, 0.000000, 0.000000], [-0.233225, 0.575037, 0.706877, 0.005550, -0.275122, -0.107127, 0.102063, -0.132844, 0.000000, 0.000000], [-0.239528, 0.253357, -0.099873, 0.520792, 0.594882, 0.229948, 0.428983, -0.080314, 0.000000, 0.000000], [-0.076302, 0.040742, 0.132939, -0.432755, 0.642035, -0.600068, -0.058646, 0.108806, 0.000000, 0.000000], [-0.071033, -0.415359, 0.493589, -0.338802, 0.277623, 0.608459, -0.003465, -0.129251, 0.000000, 0.000000]]
fourier: [[384.646172, 410.142622, 415.608241, 551.326197, 2203.657167], [353.869995, 377.306481, 382.281042, 507.189021, 2027.346087], [456.071777, 486.316007, 492.847488, 653.731870, 2616.456503], [134.487303, 143.443894, 145.490867, 192.835988, 753.879404], [175.999182, 187.597569, 189.968588, 252.225772, 1062.203874], [180.745590, 192.699840, 195.182859, 259.024416, 1057.446963], [57.547683, 61.347804, 62.169592, 82.503029, 340.594661], [53.509025, 57.064481, 57.926861, 76.772825, 341.922176]]
### 12
mean: [-28.997314]
std: [32.109901]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[467.420035, 498.818376, 505.920171, 669.947196, 2609.758284]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.010656,
-0.281121,
-0.189401,
-0.217095,
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],
"network.10.weight": [
[
0.451187,
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-0.109695,
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[
0.299087,
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0.232088,
-0.27437,
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],
[
0.653399,
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[
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[
0.043857,
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-0.020063,
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-0.389593,
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[
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[
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"network.12.bias": [
0.873141
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}
## Activation Signature
### 0
mean: [-3.113199, 0.551740, -0.168277, -0.676934, -1.648850, -0.123466, -0.780074, -2.333761]
std: [2.118313, 1.816405, 2.541584, 2.079538, 0.993305, 2.137733, 1.309030, 1.836853]
pca: [[0.371308, 0.314620, 0.608434, -0.251055, -0.436346, -0.301370, 0.103699, 0.194804, 0.000000, 0.000000], [0.387586, 0.151868, -0.486003, 0.040227, 0.048242, -0.028083, -0.177043, 0.744605, 0.000000, 0.000000], [0.550555, -0.423972, 0.055752, 0.606095, -0.233192, 0.175194, 0.215264, -0.123562, 0.000000, 0.000000], [0.370437, 0.409544, -0.413054, -0.085681, -0.214297, -0.068438, -0.316456, -0.605263, 0.000000, 0.000000], [0.168082, 0.103859, 0.343866, -0.124686, 0.141015, 0.788550, -0.428696, 0.041178, 0.000000, 0.000000], [0.366813, -0.493764, 0.147795, -0.293375, 0.471780, -0.394340, -0.352385, -0.107138, 0.000000, 0.000000], [0.312173, 0.044892, -0.165331, -0.472279, 0.283098, 0.260960, 0.701968, -0.095640, 0.000000, 0.000000], [0.106387, 0.523324, 0.229051, 0.485795, 0.619974, -0.166122, 0.103466, -0.060688, 0.000000, 0.000000]]
fourier: [[32.897914, 33.669118, 41.778143, 42.286861, 280.187943], [25.758094, 26.755289, 32.087525, 39.526155, 49.656620], [39.515944, 39.786977, 42.313083, 46.191408, 47.438455], [32.222829, 33.515589, 35.276891, 50.729070, 60.924039], [14.688007, 15.406669, 17.460134, 20.296549, 148.396494], [31.190297, 33.372321, 33.450414, 38.384562, 44.584698], [20.785915, 20.823906, 22.990542, 23.507161, 70.206624], [25.713613, 26.228975, 33.027966, 36.221578, 210.038529]]
### 2
mean: [1.996239, 2.263190, 1.912565, 1.705718, -1.213820, 0.100866, 2.686084, -1.154290]
std: [2.221581, 2.533396, 2.222490, 1.674037, 1.565440, 0.320843, 2.695274, 1.583875]
pca: [[0.364104, 0.885383, -0.153158, -0.083295, 0.090038, -0.049624, 0.203203, 0.035610, 0.000000, 0.000000], [0.456885, -0.357871, -0.121806, 0.115398, -0.034446, -0.382927, 0.540468, 0.441708, 0.000000, 0.000000], [0.404704, -0.000993, 0.394937, -0.133027, -0.056964, 0.316096, -0.476306, 0.576639, 0.000000, 0.000000], [0.303471, -0.167167, -0.168111, 0.124229, 0.022111, 0.815934, 0.339330, -0.234274, 0.000000, 0.000000], [-0.284368, 0.068386, -0.234662, 0.512212, 0.639585, 0.126005, -0.079313, 0.407177, 0.000000, 0.000000], [-0.005023, 0.174770, 0.494901, 0.755746, -0.364789, -0.034521, 0.100189, -0.095139, 0.000000, 0.000000], [0.490885, -0.150104, 0.248190, 0.106897, 0.567980, -0.241125, -0.220425, -0.483886, 0.000000, 0.000000], [-0.284509, 0.048243, 0.644886, -0.318867, 0.349616, 0.100148, 0.509582, 0.085077, 0.000000, 0.000000]]
fourier: [[35.296838, 36.216180, 41.102508, 46.534602, 179.661488], [35.513342, 35.592606, 40.257450, 51.078905, 203.687106], [31.728533, 34.150955, 34.583931, 45.045914, 172.130800], [22.834503, 24.017339, 26.300634, 34.425269, 153.514620], [22.953962, 23.490309, 24.640707, 31.018123, 109.243826], [5.240847, 5.830993, 5.852316, 6.835642, 9.077944], [37.743048, 40.029904, 42.487628, 55.003674, 241.747541], [22.056341, 22.596569, 25.195637, 33.531581, 103.886074]]
### 4
mean: [5.471502, -3.740565, 5.435153, 7.215128, -1.566893, 6.624753, 6.434230, -1.549973]
std: [5.986930, 3.388009, 5.790923, 7.566932, 1.101051, 7.000195, 6.811362, 1.255227]
pca: [[0.389312, -0.518874, -0.184121, 0.624483, 0.033335, -0.137307, 0.310453, -0.197437, 0.000000, 0.000000], [-0.220362, 0.236928, 0.297845, 0.506608, 0.702750, -0.056554, -0.177801, 0.145849, 0.000000, 0.000000], [0.376901, 0.121251, -0.375247, 0.206251, -0.047120, 0.585672, -0.382206, 0.410585, 0.000000, 0.000000], [0.492429, -0.258755, 0.717412, -0.143350, -0.022306, 0.083160, -0.368020, -0.111708, 0.000000, 0.000000], [-0.070629, 0.362338, 0.265062, 0.240641, -0.195596, 0.596982, 0.359995, -0.459691, 0.000000, 0.000000], [0.455613, 0.168945, 0.037186, -0.358394, 0.431103, 0.063014, 0.608506, 0.271928, 0.000000, 0.000000], [0.442839, 0.654787, -0.095039, 0.146938, -0.180737, -0.495443, -0.147133, -0.211536, 0.000000, 0.000000], [-0.081595, 0.066353, 0.375799, 0.286942, -0.495519, -0.148994, 0.262605, 0.654737, 0.000000, 0.000000]]
fourier: [[89.117638, 92.932987, 94.640766, 125.403653, 492.435219], [50.073533, 52.896935, 53.658742, 70.922164, 336.650828], [84.304665, 89.927264, 90.529961, 120.676432, 489.163811], [111.462299, 117.559463, 118.008291, 159.085011, 649.361545], [17.121970, 17.833027, 18.170208, 22.913770, 141.020377], [101.828250, 108.323093, 109.634217, 146.228944, 596.227794], [97.619234, 103.677420, 106.723394, 141.663713, 579.080695], [18.472777, 19.990055, 20.013502, 25.933422, 139.497544]]
### 6
mean: [-8.021539, -10.324056, 18.085241, -7.420225, -2.653517, -10.105482, -4.799981, 14.256840]
std: [8.304492, 10.910154, 19.335443, 7.683133, 2.503255, 10.581306, 4.926813, 15.198406]
pca: [[-0.263361, 0.077587, 0.317706, 0.103183, 0.805416, 0.005874, -0.383510, -0.131256, 0.000000, 0.000000], [-0.345996, 0.097608, -0.270959, -0.188925, 0.352010, 0.012110, 0.511700, 0.612987, 0.000000, 0.000000], [0.613191, 0.082999, 0.157359, 0.152654, 0.070272, -0.078006, -0.317845, 0.676014, 0.000000, 0.000000], [-0.243645, -0.229175, 0.660900, -0.164710, -0.244676, 0.552991, 0.036927, 0.239099, 0.000000, 0.000000], [-0.079353, -0.239035, 0.333649, 0.713724, -0.016933, -0.365740, 0.425787, 0.022244, 0.000000, 0.000000], [-0.335502, 0.742173, 0.277303, -0.042680, -0.323818, -0.360493, -0.119091, 0.094360, 0.000000, 0.000000], [-0.156219, 0.311342, -0.334923, 0.622491, -0.087353, 0.592061, -0.133145, 0.055667, 0.000000, 0.000000], [0.481974, 0.469202, 0.252389, -0.067156, 0.223194, 0.271436, 0.524871, -0.283476, 0.000000, 0.000000]]
fourier: [[121.315444, 129.021762, 129.885507, 173.698430, 721.938508], [159.384184, 169.647540, 170.934931, 227.919540, 929.164926], [282.021447, 300.097642, 302.977908, 403.915595, 1627.671976], [111.711095, 118.670903, 120.334670, 160.668715, 667.820262], [36.093685, 38.345129, 39.166116, 52.288608, 238.816474], [155.695240, 164.998459, 165.427224, 221.702777, 909.493313], [72.432386, 76.913259, 77.156473, 103.004183, 431.998319], [220.953458, 235.254494, 238.512149, 317.153560, 1283.115773]]
### 8
mean: [14.566994, -1.908486, 19.757235, -6.864740, -1.199992, -14.969589, -7.480182, 17.782351]
std: [15.655059, 1.588467, 21.184767, 7.294878, 0.984816, 15.717427, 7.715227, 18.982338]
pca: [[0.415812, 0.560538, 0.311722, -0.385151, 0.066471, 0.069763, 0.018899, 0.507684, 0.000000, 0.000000], [-0.042189, -0.275486, 0.033806, -0.075083, 0.881765, 0.302725, -0.184695, 0.110830, 0.000000, 0.000000], [0.562686, -0.236246, -0.499545, 0.321774, 0.024800, 0.055934, 0.406550, 0.324749, 0.000000, 0.000000], [-0.193758, 0.419614, 0.019050, 0.272322, 0.013126, 0.708128, 0.400289, -0.223632, 0.000000, 0.000000], [-0.026150, 0.435562, 0.046595, 0.394559, 0.445374, -0.609756, 0.228215, -0.171790, 0.000000, 0.000000], [-0.417469, 0.137262, -0.101442, 0.486796, -0.100163, 0.031789, -0.365302, 0.644305, 0.000000, 0.000000], [-0.204922, -0.402216, 0.634304, 0.090454, -0.046133, -0.083782, 0.541609, 0.288474, 0.000000, 0.000000], [0.504188, -0.087657, 0.486801, 0.517198, -0.082255, 0.138148, -0.401434, -0.215966, 0.000000, 0.000000]]
fourier: [[227.800565, 242.752808, 246.039058, 326.705481, 1311.029470], [23.039515, 24.563067, 24.995570, 33.115517, 171.763770], [308.615386, 328.818482, 332.795059, 442.264399, 1778.151051], [106.388435, 113.334866, 114.544806, 152.345203, 617.826654], [14.487826, 15.403845, 15.414055, 20.622310, 107.999308], [228.963253, 243.952800, 246.909901, 328.123053, 1347.263000], [112.223841, 119.596371, 121.272427, 160.989806, 673.216335], [276.481763, 294.588787, 298.217925, 396.263023, 1600.411742]]
### 10
mean: [24.485081, 22.526066, 29.071739, 8.376438, -11.802265, -11.749410, -3.784385, -3.799135]
std: [26.417540, 24.301756, 31.325274, 9.242230, 12.083552, 12.410106, 3.953278, 3.680306]
pca: [[0.509886, -0.087301, 0.366708, 0.543068, 0.218711, -0.107002, -0.491749, -0.043560, 0.000000, 0.000000], [0.469049, -0.014748, 0.205554, -0.028170, -0.044286, 0.029237, 0.525128, 0.676871, 0.000000, 0.000000], [0.604610, 0.179099, -0.100178, -0.242954, 0.042385, -0.016452, 0.332008, -0.648854, 0.000000, 0.000000], [0.178384, 0.625335, -0.205633, -0.268213, 0.171895, 0.439055, -0.417493, 0.257476, 0.000000, 0.000000], [-0.233225, 0.575037, 0.706877, 0.005550, -0.275122, -0.107127, 0.102063, -0.132844, 0.000000, 0.000000], [-0.239528, 0.253357, -0.099873, 0.520792, 0.594882, 0.229948, 0.428983, -0.080314, 0.000000, 0.000000], [-0.076302, 0.040742, 0.132939, -0.432755, 0.642035, -0.600068, -0.058646, 0.108806, 0.000000, 0.000000], [-0.071033, -0.415359, 0.493589, -0.338802, 0.277623, 0.608459, -0.003465, -0.129251, 0.000000, 0.000000]]
fourier: [[384.646172, 410.142622, 415.608241, 551.326197, 2203.657167], [353.869995, 377.306481, 382.281042, 507.189021, 2027.346087], [456.071777, 486.316007, 492.847488, 653.731870, 2616.456503], [134.487303, 143.443894, 145.490867, 192.835988, 753.879404], [175.999182, 187.597569, 189.968588, 252.225772, 1062.203874], [180.745590, 192.699840, 195.182859, 259.024416, 1057.446963], [57.547683, 61.347804, 62.169592, 82.503029, 340.594661], [53.509025, 57.064481, 57.926861, 76.772825, 341.922176]]
### 12
mean: [-28.997314]
std: [32.109901]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[467.420035, 498.818376, 505.920171, 669.947196, 2609.758284]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": -3.113199234008789, "std": 2.1183128356933594, "pca": [0.37130826711654663, 0.3146199584007263, 0.6084344983100891, -0.2510552704334259, -0.436345636844635, -0.3013695180416107, 0.10369891673326492, 0.19480399787425995, 0.0, 0.0], "fourier": [32.89791413971905, 33.66911752033084, 41.778142571136726, 42.28686133736477, 280.18794336915016]}, "1": {"mean": 0.5517401695251465, "std": 1.816405177116394, "pca": [0.38758575916290283, 0.15186768770217896, -0.4860032796859741, 0.040226902812719345, 0.04824194312095642, -0.028082987293601036, -0.17704319953918457, 0.7446045279502869, 0.0, 0.0], "fourier": [25.75809398155572, 26.75528869889745, 32.08752522785665, 39.526155282993166, 49.656620144844055]}, "2": {"mean": -0.16827723383903503, "std": 2.5415844917297363, "pca": [0.5505548119544983, -0.42397165298461914, 0.05575178563594818, 0.6060953140258789, -0.2331923097372055, 0.1751941740512848, 0.2152637541294098, -0.12356194108724594, 0.0, 0.0], "fourier": [39.51594420669815, 39.78697747304669, 42.3130828238134, 46.191408270597705, 47.43845493099893]}, "3": {"mean": -0.6769337058067322, "std": 2.079538106918335, "pca": [0.37043678760528564, 0.4095441699028015, -0.41305428743362427, -0.08568058162927628, -0.2142971009016037, -0.06843813508749008, -0.3164559304714203, -0.605263352394104, 0.0, 0.0], "fourier": [32.22282867839431, 33.51558868224997, 35.2768910198579, 50.72907044193127, 60.92403893172741]}, "4": {"mean": -1.6488499641418457, "std": 0.9933047890663147, "pca": [0.1680821180343628, 0.10385867208242416, 0.3438664674758911, -0.12468589097261429, 0.1410146802663803, 0.788549542427063, -0.4286956191062927, 0.04117798060178757, 0.0, 0.0], "fourier": [14.688006787467101, 15.406668655839814, 17.46013371659158, 20.296549417582092, 148.39649412035942]}, "5": {"mean": -0.1234658882021904, "std": 2.137732982635498, "pca": [0.3668130040168762, -0.49376365542411804, 0.1477949470281601, 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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": [[-0.330275, -0.517628, -0.380757, -0.461192, -0.022601], [-0.574187, -0.513666, 0.393335, 0.105828, 0.450324], [-0.421648, -0.594866, -0.505948, 0.821723, 0.247097], [-0.549468, -0.626034, 0.516173, -0.242678, 0.427336], [-0.184628, -0.176166, -0.220851, -0.182247, -0.087457], [-0.514825, 0.095002, -0.623597, 0.531474, 0.252071], [-0.574094, -0.124272, 0.040351, -0.049335, 0.364599], [-0.078225, -0.60051, 0.37337, -0.418843, -0.391353]], "network.0.bias": [0.053276, 0.598325, 0.430395, 0.062755, -0.138062, 0.196111, -0.26736, -0.541225], "network.2.weight": [[0.227838, 0.437564, 0.957532, -0.178729, 0.331127, 0.575507, 0.385506, -0.375252], [0.365172, 0.876754, 0.674229, 0.793107, 0.18252, 0.495371, 0.700528, 0.183723], [-0.00066, 0.616077, 0.983338, 0.63744, 0.117183, 0.258843, 0.164009, 0.145819], [0.322003, 0.708511, 0.398735, 0.302997, -0.256648, 0.364205, 0.501495, 0.141906], [-0.248071, -0.52605, -0.562874, -0.480639, 0.389766, -0.323855, 0.119602, -0.132501], [0.174283, -0.350672, 0.482616, 0.245963, -0.690826, -0.416805, -0.056583, -0.431922], [-0.055404, 0.726217, 1.067558, 0.849043, -0.15925, 0.334604, 0.593476, 0.24803], [0.170797, -0.704261, -0.162668, -0.123662, 0.188099, -0.576742, -0.789208, 0.167915]], "network.2.bias": [0.217379, -0.217118, -0.237218, 0.048289, 0.370313, 0.252082, 0.103623, 0.372227], "network.4.weight": [[0.953415, 0.320866, 0.458091, 0.044724, -0.120445, -0.094483, 0.809494, -0.113505], [-0.536044, -0.311312, -0.015193, -0.173105, -0.045092, -0.253624, -0.457644, -0.201511], [0.624569, 0.192342, 0.750796, 0.469681, -0.251591, -0.23783, 0.603085, -0.233007], [1.16718, 0.668445, 0.363518, 0.503255, -0.365905, -0.219642, 0.698861, -0.531236], [-0.287264, -0.15144, -0.005785, 0.145008, -0.444158, -0.094126, -0.144291, -0.008031], [0.831232, 0.496555, 0.824635, 0.585258, -0.414776, -0.426561, 0.483748, -0.319853], [0.599763, 0.547427, 0.88253, 0.23649, -0.450954, -0.640042, 0.695729, -0.865225], [-0.139239, 0.026162, -0.322091, -0.218107, -0.097304, 0.047624, 0.000468, -0.208875]], "network.4.bias": [-0.284583, -0.332621, -0.066558, 0.007077, -0.43888, 0.042625, 0.193375, -0.314434], "network.6.weight": [[-0.058972, 0.380392, -0.34955, -0.413354, -0.328401, -0.26449, -0.142287, 0.1166], [-0.456328, 0.319551, -0.210188, -0.167546, 0.093713, -0.470962, -0.357826, 0.301089], [0.603858, -0.068208, 0.406658, 0.500012, 0.085595, 0.551454, 0.85122, -0.150346], [0.029577, 0.018188, 0.015236, -0.499404, 0.134789, -0.134425, -0.478206, 0.340134], [0.207051, 0.216383, -0.268339, -0.322344, -0.275939, 0.267434, -0.239402, 0.03554], [-0.425362, 0.297594, -0.412408, -0.686069, 0.143723, -0.016019, -0.053807, 0.008198], [-0.219567, 0.072659, -0.522667, -0.145209, 0.108756, 0.012933, 0.060471, -0.238637], [0.357357, -0.18085, 0.303041, 0.202357, 0.161821, 0.620472, 0.80657, -0.18768]], "network.6.bias": [-0.129266, -0.017067, -0.235259, -0.068108, -0.224224, -0.112621, -0.17436, -0.164885], "network.8.weight": [[-0.218068, 0.264341, 0.285468, -0.121347, 0.271606, 0.11444, -0.227748, 0.668964], [-0.119362, 0.204572, 0.051762, 0.243431, 0.002972, 0.335446, 0.11766, -0.170551], [0.046931, 0.155938, 0.769996, 0.159292, -0.212843, 0.019071, -0.09811, 0.417232], [0.273011, 0.052324, -0.395182, -0.17787, -0.333169, -0.32845, -0.440642, 0.021727], [0.012003, 0.09957, -0.195217, 0.319776, -0.193045, -0.051739, 0.180018, 0.183395], [0.033942, 0.477575, -0.565736, 0.071581, -0.25327, -0.038816, 0.077304, -0.316599], [-0.269406, 0.315174, -0.094616, -0.081892, 0.054604, -0.085455, 0.072964, -0.38828], [-0.483158, -0.118539, 0.63611, -0.133378, -0.004904, -0.407447, 0.197197, 0.442329]], "network.8.bias": [-0.166593, -0.410076, -0.163948, -0.010656, -0.281121, -0.189401, -0.217095, -0.070106], "network.10.weight": [[0.451187, 0.109589, 0.633921, -0.109695, 0.31548, -0.082323, 0.352231, 0.313996], [0.299087, 0.122479, 0.604657, 0.273976, 0.232088, -0.27437, 0.422243, 0.360383], [0.653399, 0.361598, 0.670074, -0.197072, 0.148242, 0.059119, -0.273411, 0.365827], [0.463911, -0.166951, 0.075213, 0.130515, -0.208616, -0.449087, -0.076354, 0.021201], [0.043857, -0.022593, -0.126428, 0.049881, -0.251048, 0.339607, 0.249787, -0.532115], [-0.020063, -0.33644, -0.388104, 0.171727, -0.140225, 0.083086, -0.389593, -0.204851], [-0.100791, -0.367971, 0.082246, -0.354047, -0.099529, -0.137123, -0.048492, -0.217099], [-0.327834, 0.338055, 0.274018, 0.267003, -0.338216, 0.262963, -0.041764, -0.229562]], "network.10.bias": [-0.233445, -0.218439, -0.236534, -0.261568, -0.471425, -0.131205, -0.077092, -0.350403], "network.12.weight": [[-0.321529, -0.274317, -0.532354, -0.034737, -0.086386, -0.027035, 0.166503, 0.07773]], "network.12.bias": [0.873141]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6995755434036255, "train_acc": 0.45, "val_loss": 0.6697779297828674, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6312389969825745, "train_acc": 0.57, "val_loss": 0.5381897687911987, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5486388802528381, "train_acc": 0.515, "val_loss": 0.47489529848098755, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.49762119352817535, "train_acc": 0.835, "val_loss": 0.4140065312385559, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4130017161369324, "train_acc": 0.835, "val_loss": 0.3246961236000061, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3375137448310852, "train_acc": 0.91, "val_loss": 0.2766026258468628, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.30155354738235474, "train_acc": 0.925, "val_loss": 0.25087666511535645, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.27348610758781433, "train_acc": 0.93, "val_loss": 0.21919946372509003, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2557797357439995, "train_acc": 0.93, "val_loss": 0.20372793078422546, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.26351744681596756, "train_acc": 0.925, "val_loss": 0.1927659660577774, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.24671445041894913, "train_acc": 0.935, "val_loss": 0.18341243267059326, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.22494953125715256, "train_acc": 0.95, "val_loss": 0.17522390186786652, "val_acc": 0.96}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6697779297828674, "final_val_loss": 0.5381897687911987, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.47489529848098755, "final_val_loss": 0.17522390186786652, "initial_val_acc": 0.86, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 7}, "improvement": 0.43999999999999995, "first_improvement_epoch": 1}}
|
9,795
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.46, "improved_accuracy": 0.94, "improvement": 0.4799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3396, "learning_rate": 0.05813754095179976, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.977379,
0.430051,
0.238538,
-0.066692,
-0.036818
],
[
-0.045039,
0.478662,
0.302875,
0.273529,
-0.226223
],
[
-0.527864,
-0.404585,
0.804185,
-0.143169,
0.105097
],
[
0.645897,
-0.702786,
0.054933,
0.045396,
0.203583
],
[
0.686841,
0.34185,
-0.221926,
0.218028,
-0.003266
]
],
"network.0.bias": [
0.143211,
0.107282,
0.469284,
-0.095551,
0.28211
],
"network.2.weight": [
[
-0.121169,
-0.069787,
-0.055543,
-0.912408,
-0.388336
],
[
0.536466,
-0.201043,
-0.71212,
0.299381,
0.621346
],
[
0.435309,
0.597292,
0.187187,
0.412884,
0.102228
],
[
-0.383498,
-0.189802,
-0.054335,
0.009103,
0.09
],
[
-0.044749,
0.127897,
-0.646472,
0.032336,
0.500527
]
],
"network.2.bias": [
0.156127,
0.103213,
-0.510616,
-0.260448,
-0.045205
],
"network.4.weight": [
[
0.413728,
0.304169,
0.508857,
0.852059,
0.410014
],
[
-0.053475,
0.487156,
0.593541,
0.378194,
0.355955
],
[
-0.250533,
-0.443348,
-0.062704,
-0.174004,
-0.658384
],
[
0.11265,
1.052109,
0.371885,
0.12182,
0.625886
],
[
-0.340832,
0.712786,
0.514087,
0.536764,
0.929005
]
],
"network.4.bias": [
-0.004125,
-0.369218,
0.517372,
0.205093,
-0.295148
],
"network.6.weight": [
[
-0.140831,
0.143582,
0.267303,
-0.220613,
-0.090422
],
[
0.457849,
1.007588,
-0.994555,
0.366258,
0.914558
],
[
-0.082877,
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0.266704,
0.410834,
-0.72999
],
[
0.322055,
0.572609,
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0.64138,
0.810063
],
[
0.396952,
0.173057,
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0.259428,
0.057092
]
],
"network.6.bias": [
0.686718,
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0.501492,
0.093778,
-0.534473
],
"network.8.weight": [
[
-0.331661,
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0.41646,
0.282219
],
[
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0.422674,
0.96052
],
[
0.054197,
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0.772735,
0.405935,
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],
[
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0.053679,
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],
[
0.130202,
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]
],
"network.8.bias": [
-0.233528,
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0.305012,
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-0.331377
],
"network.10.weight": [
[
-0.548845,
-0.27009,
0.371758,
-0.349885,
-0.481104
]
],
"network.10.bias": [
0.310062
]
}
## Activation Signature
### 0
mean: [2.453007, 1.863693, 0.577598, -0.109218, 1.759714]
std: [2.546578, 1.400660, 1.836694, 1.605309, 1.714878]
pca: [[0.744456, 0.270302, 0.311160, -0.502445, -0.153136, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.220516, -0.379943, 0.545480, 0.584849, -0.409169, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.343463, 0.458340, 0.708742, 0.052070, 0.408572, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.128079, 0.748736, -0.289682, 0.502729, -0.293835, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.512627, -0.109084, -0.139288, 0.387366, 0.745560, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.476087, 42.832720, 43.702065, 46.711802, 220.770649], [23.203610, 23.614203, 24.902050, 27.522073, 167.732381], [27.454024, 29.877903, 33.912654, 40.553123, 51.983794], [20.415239, 21.247890, 26.936082, 32.434672, 36.983109], [25.603793, 27.120314, 29.123378, 30.353092, 158.374259]]
### 2
mean: [-1.358495, 1.553851, 2.130716, -1.412147, 0.353505]
std: [1.581077, 2.857319, 1.988582, 1.005292, 1.514311]
pca: [[-0.370618, -0.239316, 0.697078, -0.491202, 0.279594, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.720662, -0.380216, -0.190921, -0.485088, 0.253615, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.441630, 0.643536, 0.430001, 0.196345, 0.409112, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.221649, -0.313295, -0.242728, 0.422041, 0.784654, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.314837, -0.534670, 0.483543, 0.553841, -0.272859, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.388739, 26.614580, 26.690898, 34.282339, 122.264549], [45.553384, 45.715547, 46.247525, 49.197590, 139.846565], [33.221211, 33.565210, 35.011846, 35.724113, 191.764413], [16.681561, 17.155270, 17.657390, 17.855053, 127.093260], [23.257481, 23.612638, 25.766978, 29.690612, 31.815447]]
### 4
mean: [1.788048, 1.976908, -0.834487, 3.306865, 2.688786]
std: [2.121269, 2.651884, 1.873577, 3.916017, 3.599601]
pca: [[0.321036, 0.508880, -0.143446, 0.705074, -0.346801, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.402019, 0.553133, 0.194948, -0.213000, 0.670113, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.282641, 0.523358, 0.445016, -0.416351, -0.524236, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.595689, -0.401467, 0.663566, 0.054278, -0.201777, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.548257, 0.002431, -0.550509, -0.530290, -0.339325, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.790245, 35.799791, 37.061771, 37.191587, 160.924281], [43.434525, 45.047527, 45.372536, 46.730855, 177.921683], [30.105827, 31.134986, 31.715879, 33.078219, 75.103866], [64.835438, 65.320062, 65.764255, 67.530267, 297.617848], [59.204654, 60.503411, 63.260164, 63.330411, 241.990790]]
### 6
mean: [-0.190674, 6.204031, -0.444000, 5.975900, 1.456585]
std: [1.157264, 8.450516, 1.469657, 7.677900, 2.558360]
pca: [[-0.097395, -0.407129, 0.383219, 0.821097, -0.060849, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.713243, -0.342236, 0.347170, -0.278230, -0.419785, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.123547, 0.701002, 0.659933, 0.007114, -0.240356, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.648010, 0.470680, -0.340514, 0.477977, 0.118873, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.215911, -0.064627, 0.425623, -0.140979, 0.864972, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.824081, 18.977989, 19.172224, 19.475189, 20.147112], [137.904006, 141.938640, 142.183120, 146.291930, 558.362697], [23.445960, 24.562789, 25.406760, 26.500716, 39.960016], [124.665616, 129.306431, 129.349497, 132.679033, 537.830978], [41.954759, 42.572105, 43.002555, 44.354068, 131.092671]]
### 8
mean: [5.347064, 6.053171, -0.182250, 7.169758, 6.607236]
std: [7.863564, 8.891070, 1.383463, 9.715033, 9.463821]
pca: [[0.435022, -0.489251, 0.321017, -0.660373, -0.179568, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.491886, -0.346424, 0.012147, 0.694053, -0.395198, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.076269, 0.482525, 0.790361, 0.074919, -0.362034, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.537479, 0.186612, 0.273760, 0.141568, 0.762434, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.523548, 0.610712, -0.444056, -0.237789, -0.314958, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[126.629402, 130.504375, 132.391707, 136.470642, 481.235751], [143.295059, 147.557428, 150.512041, 153.904578, 544.785448], [22.044776, 22.463506, 22.867486, 23.422621, 24.366674], [156.444649, 162.015700, 165.022253, 167.060809, 645.278200], [152.981397, 159.099602, 161.722866, 162.569942, 594.651232]]
### 10
mean: [-10.118880]
std: [14.534266]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[234.971634, 242.708458, 248.756731, 249.991116, 910.699319]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.977379,
0.430051,
0.238538,
-0.066692,
-0.036818
],
[
-0.045039,
0.478662,
0.302875,
0.273529,
-0.226223
],
[
-0.527864,
-0.404585,
0.804185,
-0.143169,
0.105097
],
[
0.645897,
-0.702786,
0.054933,
0.045396,
0.203583
],
[
0.686841,
0.34185,
-0.221926,
0.218028,
-0.003266
]
],
"network.0.bias": [
0.143211,
0.107282,
0.469284,
-0.095551,
0.28211
],
"network.2.weight": [
[
-0.121169,
-0.069787,
-0.055543,
-0.912408,
-0.388336
],
[
0.536466,
-0.201043,
-0.71212,
0.299381,
0.621346
],
[
0.435309,
0.597292,
0.187187,
0.412884,
0.102228
],
[
-0.383498,
-0.189802,
-0.054335,
0.009103,
0.09
],
[
-0.044749,
0.127897,
-0.646472,
0.032336,
0.500527
]
],
"network.2.bias": [
0.156127,
0.103213,
-0.510616,
-0.260448,
-0.045205
],
"network.4.weight": [
[
0.413728,
0.304169,
0.508857,
0.852059,
0.410014
],
[
-0.053475,
0.487156,
0.593541,
0.378194,
0.355955
],
[
-0.250533,
-0.443348,
-0.062704,
-0.174004,
-0.658384
],
[
0.11265,
1.052109,
0.371885,
0.12182,
0.625886
],
[
-0.340832,
0.712786,
0.514087,
0.536764,
0.929005
]
],
"network.4.bias": [
-0.004125,
-0.369218,
0.517372,
0.205093,
-0.295148
],
"network.6.weight": [
[
-0.140831,
0.143582,
0.267303,
-0.220613,
-0.090422
],
[
0.457849,
1.007588,
-0.994555,
0.366258,
0.914558
],
[
-0.082877,
-0.102157,
0.266704,
0.410834,
-0.72999
],
[
0.322055,
0.572609,
-0.542576,
0.64138,
0.810063
],
[
0.396952,
0.173057,
-0.256639,
0.259428,
0.057092
]
],
"network.6.bias": [
0.686718,
-0.09881,
0.501492,
0.093778,
-0.534473
],
"network.8.weight": [
[
-0.331661,
0.452739,
-0.69925,
0.41646,
0.282219
],
[
-0.587758,
0.36269,
-0.778061,
0.422674,
0.96052
],
[
0.054197,
-0.324054,
0.772735,
0.405935,
-0.66355
],
[
-0.591163,
0.635604,
0.053679,
0.504082,
0.177362
],
[
0.130202,
0.320962,
-0.517739,
0.630455,
0.769045
]
],
"network.8.bias": [
-0.233528,
0.013936,
0.305012,
-0.028625,
-0.331377
],
"network.10.weight": [
[
-0.548845,
-0.27009,
0.371758,
-0.349885,
-0.481104
]
],
"network.10.bias": [
0.310062
]
}
## Activation Signature
### 0
mean: [2.453007, 1.863693, 0.577598, -0.109218, 1.759714]
std: [2.546578, 1.400660, 1.836694, 1.605309, 1.714878]
pca: [[0.744456, 0.270302, 0.311160, -0.502445, -0.153136, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.220516, -0.379943, 0.545480, 0.584849, -0.409169, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.343463, 0.458340, 0.708742, 0.052070, 0.408572, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.128079, 0.748736, -0.289682, 0.502729, -0.293835, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.512627, -0.109084, -0.139288, 0.387366, 0.745560, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.476087, 42.832720, 43.702065, 46.711802, 220.770649], [23.203610, 23.614203, 24.902050, 27.522073, 167.732381], [27.454024, 29.877903, 33.912654, 40.553123, 51.983794], [20.415239, 21.247890, 26.936082, 32.434672, 36.983109], [25.603793, 27.120314, 29.123378, 30.353092, 158.374259]]
### 2
mean: [-1.358495, 1.553851, 2.130716, -1.412147, 0.353505]
std: [1.581077, 2.857319, 1.988582, 1.005292, 1.514311]
pca: [[-0.370618, -0.239316, 0.697078, -0.491202, 0.279594, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.720662, -0.380216, -0.190921, -0.485088, 0.253615, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.441630, 0.643536, 0.430001, 0.196345, 0.409112, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.221649, -0.313295, -0.242728, 0.422041, 0.784654, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.314837, -0.534670, 0.483543, 0.553841, -0.272859, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.388739, 26.614580, 26.690898, 34.282339, 122.264549], [45.553384, 45.715547, 46.247525, 49.197590, 139.846565], [33.221211, 33.565210, 35.011846, 35.724113, 191.764413], [16.681561, 17.155270, 17.657390, 17.855053, 127.093260], [23.257481, 23.612638, 25.766978, 29.690612, 31.815447]]
### 4
mean: [1.788048, 1.976908, -0.834487, 3.306865, 2.688786]
std: [2.121269, 2.651884, 1.873577, 3.916017, 3.599601]
pca: [[0.321036, 0.508880, -0.143446, 0.705074, -0.346801, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.402019, 0.553133, 0.194948, -0.213000, 0.670113, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.282641, 0.523358, 0.445016, -0.416351, -0.524236, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.595689, -0.401467, 0.663566, 0.054278, -0.201777, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.548257, 0.002431, -0.550509, -0.530290, -0.339325, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.790245, 35.799791, 37.061771, 37.191587, 160.924281], [43.434525, 45.047527, 45.372536, 46.730855, 177.921683], [30.105827, 31.134986, 31.715879, 33.078219, 75.103866], [64.835438, 65.320062, 65.764255, 67.530267, 297.617848], [59.204654, 60.503411, 63.260164, 63.330411, 241.990790]]
### 6
mean: [-0.190674, 6.204031, -0.444000, 5.975900, 1.456585]
std: [1.157264, 8.450516, 1.469657, 7.677900, 2.558360]
pca: [[-0.097395, -0.407129, 0.383219, 0.821097, -0.060849, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.713243, -0.342236, 0.347170, -0.278230, -0.419785, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.123547, 0.701002, 0.659933, 0.007114, -0.240356, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.648010, 0.470680, -0.340514, 0.477977, 0.118873, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.215911, -0.064627, 0.425623, -0.140979, 0.864972, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.824081, 18.977989, 19.172224, 19.475189, 20.147112], [137.904006, 141.938640, 142.183120, 146.291930, 558.362697], [23.445960, 24.562789, 25.406760, 26.500716, 39.960016], [124.665616, 129.306431, 129.349497, 132.679033, 537.830978], [41.954759, 42.572105, 43.002555, 44.354068, 131.092671]]
### 8
mean: [5.347064, 6.053171, -0.182250, 7.169758, 6.607236]
std: [7.863564, 8.891070, 1.383463, 9.715033, 9.463821]
pca: [[0.435022, -0.489251, 0.321017, -0.660373, -0.179568, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.491886, -0.346424, 0.012147, 0.694053, -0.395198, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.076269, 0.482525, 0.790361, 0.074919, -0.362034, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.537479, 0.186612, 0.273760, 0.141568, 0.762434, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.523548, 0.610712, -0.444056, -0.237789, -0.314958, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[126.629402, 130.504375, 132.391707, 136.470642, 481.235751], [143.295059, 147.557428, 150.512041, 153.904578, 544.785448], [22.044776, 22.463506, 22.867486, 23.422621, 24.366674], [156.444649, 162.015700, 165.022253, 167.060809, 645.278200], [152.981397, 159.099602, 161.722866, 162.569942, 594.651232]]
### 10
mean: [-10.118880]
std: [14.534266]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[234.971634, 242.708458, 248.756731, 249.991116, 910.699319]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.453007221221924, "std": 2.5465776920318604, "pca": [0.7444559335708618, 0.27030229568481445, 0.3111598491668701, -0.5024450421333313, -0.15313562750816345, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [42.47608736700108, 42.832720469576685, 43.70206475921766, 46.7118018748309, 220.77064912766218]}, "1": {"mean": 1.863693356513977, "std": 1.4006596803665161, "pca": [0.2205156832933426, -0.3799428641796112, 0.5454800128936768, 0.5848492383956909, -0.40916895866394043, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [23.203609956983108, 23.614203048401244, 24.902050304269018, 27.522072730310867, 167.732381477952]}, "2": {"mean": 0.5775977373123169, "std": 1.8366940021514893, "pca": [-0.34346339106559753, 0.4583403766155243, 0.7087416052818298, 0.05206955224275589, 0.4085719883441925, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [27.45402445267771, 29.877902849647416, 33.91265403162549, 40.5531230622076, 51.98379412293434]}, "3": {"mean": 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26.6908976281198, 34.28233929815418, 122.26454903185368]}, "1": {"mean": 1.553850769996643, "std": 2.857318639755249, "pca": [0.7206622958183289, -0.38021615147590637, -0.19092097878456116, -0.4850878417491913, 0.25361478328704834, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [45.553384153573894, 45.715547136942796, 46.247525248780576, 49.19758985008871, 139.8465650230646]}, "2": {"mean": 2.1307156085968018, "std": 1.9885821342468262, "pca": [0.441630482673645, 0.6435357928276062, 0.4300006926059723, 0.19634456932544708, 0.40911170840263367, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [33.22121085407698, 33.565210014732976, 35.01184572479836, 35.72411265380947, 191.76441341638565]}, "3": {"mean": -1.4121472835540771, "std": 1.0052919387817383, "pca": [-0.22164931893348694, -0.31329482793807983, -0.24272798001766205, 0.42204147577285767, 0.7846540808677673, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [16.6815609447241, 17.155269728909534, 17.657389586206936, 17.855053134957366, 127.09326040744781]}, "4": 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"dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.977379, 0.430051, 0.238538, -0.066692, -0.036818], [-0.045039, 0.478662, 0.302875, 0.273529, -0.226223], [-0.527864, -0.404585, 0.804185, -0.143169, 0.105097], [0.645897, -0.702786, 0.054933, 0.045396, 0.203583], [0.686841, 0.34185, -0.221926, 0.218028, -0.003266]], "network.0.bias": [0.143211, 0.107282, 0.469284, -0.095551, 0.28211], "network.2.weight": [[-0.121169, -0.069787, -0.055543, -0.912408, -0.388336], [0.536466, -0.201043, -0.71212, 0.299381, 0.621346], [0.435309, 0.597292, 0.187187, 0.412884, 0.102228], [-0.383498, -0.189802, -0.054335, 0.009103, 0.09], [-0.044749, 0.127897, -0.646472, 0.032336, 0.500527]], "network.2.bias": [0.156127, 0.103213, -0.510616, -0.260448, -0.045205], "network.4.weight": [[0.413728, 0.304169, 0.508857, 0.852059, 0.410014], [-0.053475, 0.487156, 0.593541, 0.378194, 0.355955], [-0.250533, -0.443348, -0.062704, -0.174004, -0.658384], [0.11265, 1.052109, 0.371885, 0.12182, 0.625886], [-0.340832, 0.712786, 0.514087, 0.536764, 0.929005]], "network.4.bias": [-0.004125, -0.369218, 0.517372, 0.205093, -0.295148], "network.6.weight": [[-0.140831, 0.143582, 0.267303, -0.220613, -0.090422], [0.457849, 1.007588, -0.994555, 0.366258, 0.914558], [-0.082877, -0.102157, 0.266704, 0.410834, -0.72999], [0.322055, 0.572609, -0.542576, 0.64138, 0.810063], [0.396952, 0.173057, -0.256639, 0.259428, 0.057092]], "network.6.bias": [0.686718, -0.09881, 0.501492, 0.093778, -0.534473], "network.8.weight": [[-0.331661, 0.452739, -0.69925, 0.41646, 0.282219], [-0.587758, 0.36269, -0.778061, 0.422674, 0.96052], [0.054197, -0.324054, 0.772735, 0.405935, -0.66355], [-0.591163, 0.635604, 0.053679, 0.504082, 0.177362], [0.130202, 0.320962, -0.517739, 0.630455, 0.769045]], "network.8.bias": [-0.233528, 0.013936, 0.305012, -0.028625, -0.331377], "network.10.weight": [[-0.548845, -0.27009, 0.371758, -0.349885, -0.481104]], "network.10.bias": [0.310062]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6811335682868958, "train_acc": 0.595, "val_loss": 0.7299872040748596, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6768109798431396, "train_acc": 0.595, "val_loss": 0.7122029066085815, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6578096151351929, "train_acc": 0.595, "val_loss": 0.6656469702720642, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6208829879760742, "train_acc": 0.51, "val_loss": 0.5457141995429993, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5072486996650696, "train_acc": 0.625, "val_loss": 0.4609554708003998, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.41199423372745514, "train_acc": 0.905, "val_loss": 0.377042680978775, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3177674859762192, "train_acc": 0.905, "val_loss": 0.30653616786003113, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.27050596475601196, "train_acc": 0.905, "val_loss": 0.31156161427497864, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.35272279381752014, "train_acc": 0.895, "val_loss": 0.368473619222641, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2932146340608597, "train_acc": 0.895, "val_loss": 0.3892633318901062, "val_acc": 0.84}], "summary": {"total_epochs": 10, "degraded_epochs": 3, "improved_epochs": 7, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7299872040748596, "final_val_loss": 0.6656469702720642, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5457141995429993, "final_val_loss": 0.3892633318901062, "initial_val_acc": 0.46, "final_val_acc": 0.84, "best_val_acc": 0.94, "best_epoch": 6}, "improvement": 0.4799999999999999, "first_improvement_epoch": 2}}
|
9,796
|
{"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": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9144, "learning_rate": 0.04212930542478858, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.333425,
0.250258
],
[
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0.021459,
-0.693457,
0.289661
]
],
"network.8.bias": [
-0.611256,
0.116213,
0.404175,
-0.171793,
-0.373214,
0.696024,
-0.200675,
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],
"network.10.weight": [
[
-0.347535,
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0.547855,
-0.234944,
-0.262288,
0.577434,
-0.464348,
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]
],
"network.10.bias": [
-0.053753
]
}
## Activation Signature
### 0
mean: [0.134140, -0.111380, -4.242863, 1.217180, 1.203187, 0.243221, 0.339311, 0.789170]
std: [1.113386, 1.379382, 2.311493, 1.636094, 2.081280, 1.705270, 1.133941, 1.086949]
pca: [[-0.121171, -0.016257, -0.427995, 0.503247, -0.502936, -0.411640, 0.201414, -0.292672, 0.000000, 0.000000], [-0.230859, -0.420272, -0.085404, -0.380116, -0.396264, -0.171569, 0.175525, 0.633264, 0.000000, 0.000000], [0.581886, -0.572631, 0.084672, 0.350362, 0.038443, 0.276385, 0.350158, 0.055702, 0.000000, 0.000000], [-0.475367, -0.063542, -0.319056, 0.267350, 0.646258, 0.035511, 0.362418, 0.215543, 0.000000, 0.000000], [0.352859, 0.693606, -0.127813, 0.034228, -0.127973, 0.099577, 0.412442, 0.424843, 0.000000, 0.000000], [-0.226680, 0.076727, 0.796330, 0.132575, -0.026036, -0.310531, 0.435394, -0.065846, 0.000000, 0.000000], [-0.263886, 0.061384, 0.221352, 0.590580, -0.235468, 0.361822, -0.428658, 0.398381, 0.000000, 0.000000], [-0.349182, 0.020472, -0.032959, -0.201226, -0.313693, 0.697285, 0.362273, -0.346732, 0.000000, 0.000000]]
fourier: [[16.737417, 17.353444, 21.222541, 21.290010, 22.668059], [19.675388, 21.943895, 22.584856, 25.784530, 28.416237], [36.786801, 37.660393, 40.280180, 41.513912, 381.857707], [22.846275, 25.736721, 26.956463, 32.228543, 109.546232], [31.943012, 32.726468, 34.053038, 40.064897, 108.286870], [21.937764, 32.307623, 33.045544, 33.244888, 41.547734], [17.710974, 17.892064, 19.213749, 23.150078, 30.537952], [16.647341, 17.004430, 17.666878, 18.877782, 71.025334]]
### 2
mean: [-0.306202, -0.788057, 1.291776, -0.112593, 1.905484, 1.452144, 0.182748, 0.702151]
std: [0.861138, 0.675711, 1.449255, 0.913475, 1.655629, 1.564600, 0.649958, 1.147053]
pca: [[-0.232978, 0.297598, 0.510609, -0.051552, -0.346902, -0.388449, -0.464184, -0.327226, 0.000000, 0.000000], [-0.122861, -0.121787, 0.719454, 0.287705, 0.418245, -0.106176, 0.313735, 0.291638, 0.000000, 0.000000], [0.463987, -0.120578, 0.161791, 0.665963, -0.270026, 0.389437, -0.252460, -0.110377, 0.000000, 0.000000], [-0.272622, 0.332943, -0.173892, 0.245493, -0.208801, -0.009039, -0.257245, 0.783879, 0.000000, 0.000000], [0.504723, 0.593249, 0.160790, -0.174607, -0.284905, -0.034462, 0.494594, 0.099935, 0.000000, 0.000000], [0.510878, 0.227010, -0.079313, -0.048215, 0.609022, -0.282129, -0.470542, 0.083315, 0.000000, 0.000000], [-0.147693, 0.222513, -0.363647, 0.612924, 0.090234, -0.482204, 0.297877, -0.302270, 0.000000, 0.000000], [-0.321660, 0.564112, 0.029428, 0.048028, 0.357769, 0.610562, -0.037802, -0.270049, 0.000000, 0.000000]]
fourier: [[13.423420, 14.005527, 15.366651, 19.021108, 27.558211], [11.304884, 11.588699, 13.011099, 13.573317, 70.925100], [23.704913, 24.597888, 26.677881, 28.548331, 116.259830], [13.831386, 14.298828, 14.794415, 16.164583, 18.733156], [25.592155, 27.736639, 29.237585, 31.243560, 171.493604], [23.477051, 26.150598, 29.205963, 29.985438, 130.692987], [10.126999, 10.210720, 11.239534, 11.622958, 16.447334], [19.567451, 20.258840, 20.368065, 22.688944, 63.193622]]
### 4
mean: [-1.069561, 1.769805, 0.003075, 2.662422, 1.529980, 1.131608, -0.837709, -1.241230]
std: [1.632470, 1.704538, 0.518583, 2.852385, 1.244553, 1.025909, 1.509086, 0.798313]
pca: [[-0.376040, -0.101927, 0.368118, 0.761697, -0.012175, -0.096638, 0.349493, 0.029648, 0.000000, 0.000000], [0.390047, -0.300948, 0.141351, 0.073910, 0.232077, -0.237874, -0.102059, 0.781659, 0.000000, 0.000000], [0.107523, 0.261130, 0.135743, 0.292689, -0.084111, 0.782254, -0.393163, 0.206356, 0.000000, 0.000000], [0.659443, -0.065357, -0.394634, 0.342070, -0.347535, 0.062152, 0.377893, -0.143766, 0.000000, 0.000000], [0.279764, -0.251641, 0.619998, -0.335541, 0.149361, 0.345451, 0.423633, -0.200782, 0.000000, 0.000000], [0.236590, 0.056163, -0.120083, 0.282362, 0.822233, -0.031743, -0.166130, -0.376893, 0.000000, 0.000000], [-0.344111, -0.229434, -0.515625, -0.103485, 0.309476, 0.430606, 0.437348, 0.282665, 0.000000, 0.000000], [0.085884, 0.841108, 0.075235, -0.093008, 0.154870, -0.111921, 0.414393, 0.250234, 0.000000, 0.000000]]
fourier: [[28.689078, 29.162651, 30.062737, 30.189422, 96.260516], [27.767615, 28.249345, 30.648416, 32.694581, 159.282432], [7.753340, 8.846983, 9.471749, 9.726261, 10.010879], [48.407399, 49.610838, 51.710693, 54.942354, 239.617963], [19.374093, 21.082716, 22.120648, 22.568441, 137.698239], [18.576719, 18.606792, 18.657716, 18.905156, 101.844739], [26.745859, 27.124121, 27.190936, 28.993765, 75.393775], [13.586150, 13.644212, 13.667778, 15.231613, 111.710723]]
### 6
mean: [2.319010, 1.931210, 3.863031, -0.974404, -2.057910, 1.385879, 1.647162, -0.084480]
std: [2.277722, 1.870509, 3.422480, 1.419052, 1.418037, 1.636016, 1.491665, 0.671854]
pca: [[0.419522, -0.197145, 0.047688, 0.032904, -0.347580, 0.711543, -0.274121, 0.282012, 0.000000, 0.000000], [0.344665, 0.129689, 0.285513, 0.161865, 0.328249, -0.367749, -0.145479, 0.701796, 0.000000, 0.000000], [0.631130, -0.118401, -0.083134, -0.118109, 0.274130, 0.070569, 0.674405, -0.178455, 0.000000, 0.000000], [-0.253935, -0.559283, -0.263095, 0.535615, 0.472227, 0.187208, 0.013520, 0.091593, 0.000000, 0.000000], [-0.249215, 0.703210, -0.136988, 0.126220, 0.239071, 0.481028, 0.271431, 0.215573, 0.000000, 0.000000], [0.300779, 0.204245, -0.464932, -0.201969, 0.437491, 0.013391, -0.588821, -0.269398, 0.000000, 0.000000], [0.273291, 0.274256, 0.234869, 0.750276, -0.133396, -0.064077, -0.104433, -0.446331, 0.000000, 0.000000], [-0.123028, -0.077853, 0.741611, -0.228574, 0.454915, 0.287692, -0.131901, -0.263548, 0.000000, 0.000000]]
fourier: [[36.645484, 38.967020, 41.755009, 43.594304, 208.710937], [31.772848, 32.948511, 34.557299, 35.696912, 173.808870], [56.198348, 59.124799, 62.761902, 65.208388, 347.672794], [25.141795, 26.267838, 26.396126, 26.411341, 87.696331], [21.186371, 21.301395, 24.373457, 26.433735, 185.211927], [28.506193, 28.983007, 30.104634, 30.632415, 124.729121], [26.129668, 26.846955, 27.774366, 28.359802, 148.244609], [9.651820, 11.706818, 11.808229, 12.204902, 12.491372]]
### 8
mean: [-2.546609, 4.498936, -3.546374, 3.333787, -2.648307, -3.880921, 3.889350, -3.527312]
std: [1.525149, 4.054050, 3.573759, 3.275578, 1.750570, 4.082810, 3.613107, 3.624475]
pca: [[0.160626, -0.525435, -0.136893, 0.627557, -0.037439, -0.052544, 0.231335, 0.477360, 0.000000, 0.000000], [-0.432106, -0.190926, 0.314701, 0.246243, -0.269412, 0.665949, 0.108760, -0.298763, 0.000000, 0.000000], [0.380967, -0.071917, 0.596415, -0.337764, 0.089036, 0.342979, -0.090224, 0.496180, 0.000000, 0.000000], [-0.349205, 0.030024, -0.226112, -0.252070, 0.589356, 0.224487, 0.564609, 0.214406, 0.000000, 0.000000], [0.184723, -0.556321, -0.131172, -0.052590, 0.541680, 0.157336, -0.415084, -0.382028, 0.000000, 0.000000], [0.435128, -0.235498, 0.188022, -0.183664, -0.132743, -0.172046, 0.655570, -0.457304, 0.000000, 0.000000], [-0.385157, -0.078674, 0.641387, 0.190805, 0.334763, -0.531878, -0.010551, -0.051083, 0.000000, 0.000000], [0.385486, 0.557001, 0.107008, 0.543147, 0.384243, 0.220165, 0.074526, -0.181718, 0.000000, 0.000000]]
fourier: [[22.371701, 25.631956, 27.192818, 28.258551, 229.194832], [65.387220, 70.450550, 75.203611, 77.534045, 404.904201], [56.466607, 61.527024, 66.454781, 68.304335, 319.173678], [51.918599, 56.606190, 60.705055, 62.276706, 300.040795], [25.668359, 29.279430, 31.402875, 32.837311, 238.347610], [63.856565, 70.215789, 75.372920, 77.728176, 349.282870], [58.063196, 62.872130, 66.643407, 69.033163, 350.041447], [60.130371, 63.721712, 67.991019, 69.431126, 317.458055]]
### 10
mean: [-3.895187]
std: [4.060226]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[68.748479, 70.966525, 76.154862, 78.304738, 350.566798]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.2.bias": [
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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": [
-0.053753
]
}
## Activation Signature
### 0
mean: [0.134140, -0.111380, -4.242863, 1.217180, 1.203187, 0.243221, 0.339311, 0.789170]
std: [1.113386, 1.379382, 2.311493, 1.636094, 2.081280, 1.705270, 1.133941, 1.086949]
pca: [[-0.121171, -0.016257, -0.427995, 0.503247, -0.502936, -0.411640, 0.201414, -0.292672, 0.000000, 0.000000], [-0.230859, -0.420272, -0.085404, -0.380116, -0.396264, -0.171569, 0.175525, 0.633264, 0.000000, 0.000000], [0.581886, -0.572631, 0.084672, 0.350362, 0.038443, 0.276385, 0.350158, 0.055702, 0.000000, 0.000000], [-0.475367, -0.063542, -0.319056, 0.267350, 0.646258, 0.035511, 0.362418, 0.215543, 0.000000, 0.000000], [0.352859, 0.693606, -0.127813, 0.034228, -0.127973, 0.099577, 0.412442, 0.424843, 0.000000, 0.000000], [-0.226680, 0.076727, 0.796330, 0.132575, -0.026036, -0.310531, 0.435394, -0.065846, 0.000000, 0.000000], [-0.263886, 0.061384, 0.221352, 0.590580, -0.235468, 0.361822, -0.428658, 0.398381, 0.000000, 0.000000], [-0.349182, 0.020472, -0.032959, -0.201226, -0.313693, 0.697285, 0.362273, -0.346732, 0.000000, 0.000000]]
fourier: [[16.737417, 17.353444, 21.222541, 21.290010, 22.668059], [19.675388, 21.943895, 22.584856, 25.784530, 28.416237], [36.786801, 37.660393, 40.280180, 41.513912, 381.857707], [22.846275, 25.736721, 26.956463, 32.228543, 109.546232], [31.943012, 32.726468, 34.053038, 40.064897, 108.286870], [21.937764, 32.307623, 33.045544, 33.244888, 41.547734], [17.710974, 17.892064, 19.213749, 23.150078, 30.537952], [16.647341, 17.004430, 17.666878, 18.877782, 71.025334]]
### 2
mean: [-0.306202, -0.788057, 1.291776, -0.112593, 1.905484, 1.452144, 0.182748, 0.702151]
std: [0.861138, 0.675711, 1.449255, 0.913475, 1.655629, 1.564600, 0.649958, 1.147053]
pca: [[-0.232978, 0.297598, 0.510609, -0.051552, -0.346902, -0.388449, -0.464184, -0.327226, 0.000000, 0.000000], [-0.122861, -0.121787, 0.719454, 0.287705, 0.418245, -0.106176, 0.313735, 0.291638, 0.000000, 0.000000], [0.463987, -0.120578, 0.161791, 0.665963, -0.270026, 0.389437, -0.252460, -0.110377, 0.000000, 0.000000], [-0.272622, 0.332943, -0.173892, 0.245493, -0.208801, -0.009039, -0.257245, 0.783879, 0.000000, 0.000000], [0.504723, 0.593249, 0.160790, -0.174607, -0.284905, -0.034462, 0.494594, 0.099935, 0.000000, 0.000000], [0.510878, 0.227010, -0.079313, -0.048215, 0.609022, -0.282129, -0.470542, 0.083315, 0.000000, 0.000000], [-0.147693, 0.222513, -0.363647, 0.612924, 0.090234, -0.482204, 0.297877, -0.302270, 0.000000, 0.000000], [-0.321660, 0.564112, 0.029428, 0.048028, 0.357769, 0.610562, -0.037802, -0.270049, 0.000000, 0.000000]]
fourier: [[13.423420, 14.005527, 15.366651, 19.021108, 27.558211], [11.304884, 11.588699, 13.011099, 13.573317, 70.925100], [23.704913, 24.597888, 26.677881, 28.548331, 116.259830], [13.831386, 14.298828, 14.794415, 16.164583, 18.733156], [25.592155, 27.736639, 29.237585, 31.243560, 171.493604], [23.477051, 26.150598, 29.205963, 29.985438, 130.692987], [10.126999, 10.210720, 11.239534, 11.622958, 16.447334], [19.567451, 20.258840, 20.368065, 22.688944, 63.193622]]
### 4
mean: [-1.069561, 1.769805, 0.003075, 2.662422, 1.529980, 1.131608, -0.837709, -1.241230]
std: [1.632470, 1.704538, 0.518583, 2.852385, 1.244553, 1.025909, 1.509086, 0.798313]
pca: [[-0.376040, -0.101927, 0.368118, 0.761697, -0.012175, -0.096638, 0.349493, 0.029648, 0.000000, 0.000000], [0.390047, -0.300948, 0.141351, 0.073910, 0.232077, -0.237874, -0.102059, 0.781659, 0.000000, 0.000000], [0.107523, 0.261130, 0.135743, 0.292689, -0.084111, 0.782254, -0.393163, 0.206356, 0.000000, 0.000000], [0.659443, -0.065357, -0.394634, 0.342070, -0.347535, 0.062152, 0.377893, -0.143766, 0.000000, 0.000000], [0.279764, -0.251641, 0.619998, -0.335541, 0.149361, 0.345451, 0.423633, -0.200782, 0.000000, 0.000000], [0.236590, 0.056163, -0.120083, 0.282362, 0.822233, -0.031743, -0.166130, -0.376893, 0.000000, 0.000000], [-0.344111, -0.229434, -0.515625, -0.103485, 0.309476, 0.430606, 0.437348, 0.282665, 0.000000, 0.000000], [0.085884, 0.841108, 0.075235, -0.093008, 0.154870, -0.111921, 0.414393, 0.250234, 0.000000, 0.000000]]
fourier: [[28.689078, 29.162651, 30.062737, 30.189422, 96.260516], [27.767615, 28.249345, 30.648416, 32.694581, 159.282432], [7.753340, 8.846983, 9.471749, 9.726261, 10.010879], [48.407399, 49.610838, 51.710693, 54.942354, 239.617963], [19.374093, 21.082716, 22.120648, 22.568441, 137.698239], [18.576719, 18.606792, 18.657716, 18.905156, 101.844739], [26.745859, 27.124121, 27.190936, 28.993765, 75.393775], [13.586150, 13.644212, 13.667778, 15.231613, 111.710723]]
### 6
mean: [2.319010, 1.931210, 3.863031, -0.974404, -2.057910, 1.385879, 1.647162, -0.084480]
std: [2.277722, 1.870509, 3.422480, 1.419052, 1.418037, 1.636016, 1.491665, 0.671854]
pca: [[0.419522, -0.197145, 0.047688, 0.032904, -0.347580, 0.711543, -0.274121, 0.282012, 0.000000, 0.000000], [0.344665, 0.129689, 0.285513, 0.161865, 0.328249, -0.367749, -0.145479, 0.701796, 0.000000, 0.000000], [0.631130, -0.118401, -0.083134, -0.118109, 0.274130, 0.070569, 0.674405, -0.178455, 0.000000, 0.000000], [-0.253935, -0.559283, -0.263095, 0.535615, 0.472227, 0.187208, 0.013520, 0.091593, 0.000000, 0.000000], [-0.249215, 0.703210, -0.136988, 0.126220, 0.239071, 0.481028, 0.271431, 0.215573, 0.000000, 0.000000], [0.300779, 0.204245, -0.464932, -0.201969, 0.437491, 0.013391, -0.588821, -0.269398, 0.000000, 0.000000], [0.273291, 0.274256, 0.234869, 0.750276, -0.133396, -0.064077, -0.104433, -0.446331, 0.000000, 0.000000], [-0.123028, -0.077853, 0.741611, -0.228574, 0.454915, 0.287692, -0.131901, -0.263548, 0.000000, 0.000000]]
fourier: [[36.645484, 38.967020, 41.755009, 43.594304, 208.710937], [31.772848, 32.948511, 34.557299, 35.696912, 173.808870], [56.198348, 59.124799, 62.761902, 65.208388, 347.672794], [25.141795, 26.267838, 26.396126, 26.411341, 87.696331], [21.186371, 21.301395, 24.373457, 26.433735, 185.211927], [28.506193, 28.983007, 30.104634, 30.632415, 124.729121], [26.129668, 26.846955, 27.774366, 28.359802, 148.244609], [9.651820, 11.706818, 11.808229, 12.204902, 12.491372]]
### 8
mean: [-2.546609, 4.498936, -3.546374, 3.333787, -2.648307, -3.880921, 3.889350, -3.527312]
std: [1.525149, 4.054050, 3.573759, 3.275578, 1.750570, 4.082810, 3.613107, 3.624475]
pca: [[0.160626, -0.525435, -0.136893, 0.627557, -0.037439, -0.052544, 0.231335, 0.477360, 0.000000, 0.000000], [-0.432106, -0.190926, 0.314701, 0.246243, -0.269412, 0.665949, 0.108760, -0.298763, 0.000000, 0.000000], [0.380967, -0.071917, 0.596415, -0.337764, 0.089036, 0.342979, -0.090224, 0.496180, 0.000000, 0.000000], [-0.349205, 0.030024, -0.226112, -0.252070, 0.589356, 0.224487, 0.564609, 0.214406, 0.000000, 0.000000], [0.184723, -0.556321, -0.131172, -0.052590, 0.541680, 0.157336, -0.415084, -0.382028, 0.000000, 0.000000], [0.435128, -0.235498, 0.188022, -0.183664, -0.132743, -0.172046, 0.655570, -0.457304, 0.000000, 0.000000], [-0.385157, -0.078674, 0.641387, 0.190805, 0.334763, -0.531878, -0.010551, -0.051083, 0.000000, 0.000000], [0.385486, 0.557001, 0.107008, 0.543147, 0.384243, 0.220165, 0.074526, -0.181718, 0.000000, 0.000000]]
fourier: [[22.371701, 25.631956, 27.192818, 28.258551, 229.194832], [65.387220, 70.450550, 75.203611, 77.534045, 404.904201], [56.466607, 61.527024, 66.454781, 68.304335, 319.173678], [51.918599, 56.606190, 60.705055, 62.276706, 300.040795], [25.668359, 29.279430, 31.402875, 32.837311, 238.347610], [63.856565, 70.215789, 75.372920, 77.728176, 349.282870], [58.063196, 62.872130, 66.643407, 69.033163, 350.041447], [60.130371, 63.721712, 67.991019, 69.431126, 317.458055]]
### 10
mean: [-3.895187]
std: [4.060226]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[68.748479, 70.966525, 76.154862, 78.304738, 350.566798]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 0.6612619161605835, "train_acc": 0.595, "val_loss": 0.7247447371482849, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6079287230968475, "train_acc": 0.595, "val_loss": 0.5856888294219971, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.45963646471500397, "train_acc": 0.52, "val_loss": 0.6528881788253784, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.41660715639591217, "train_acc": 0.865, "val_loss": 0.43062254786491394, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.34891781210899353, "train_acc": 0.86, "val_loss": 0.4396219253540039, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3218377083539963, "train_acc": 0.87, "val_loss": 0.3423871695995331, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.20938251912593842, "train_acc": 0.93, "val_loss": 0.2491801381111145, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.19891425222158432, "train_acc": 0.935, "val_loss": 0.2704685926437378, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.21863284707069397, "train_acc": 0.925, "val_loss": 0.2558112144470215, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.1762627512216568, "train_acc": 0.945, "val_loss": 0.24266281723976135, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.14965525269508362, "train_acc": 0.955, "val_loss": 0.2338767945766449, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.17270870879292488, "train_acc": 0.96, "val_loss": 0.23023435473442078, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7247447371482849, "final_val_loss": 0.5856888294219971, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.6528881788253784, "final_val_loss": 0.23023435473442078, "initial_val_acc": 0.82, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 6}, "improvement": 0.52, "first_improvement_epoch": 1}}
|
9,797
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.5, "improved_accuracy": 0.9, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9093, "learning_rate": 0.030069236048459763, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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],
[
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-0.308893
]
],
"network.0.bias": [
-0.171871,
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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.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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[
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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: [0.736885, 1.149491, 1.441501, 0.098273, 1.717050, 0.618255]
std: [1.368302, 1.361961, 1.640490, 0.803873, 1.487198, 1.281888]
pca: [[0.508212, -0.264125, 0.005294, -0.681642, -0.087129, 0.446882, 0.000000, 0.000000, 0.000000, 0.000000], [0.104323, 0.778492, 0.095575, 0.137597, 0.143664, 0.578238, 0.000000, 0.000000, 0.000000, 0.000000], [0.610004, 0.421753, -0.304061, -0.064979, -0.162794, -0.571701, 0.000000, 0.000000, 0.000000, 0.000000], [0.300827, -0.196570, -0.129055, 0.161758, 0.909380, -0.032726, 0.000000, 0.000000, 0.000000, 0.000000], [0.285233, -0.011785, 0.930711, 0.083550, 0.012671, -0.212457, 0.000000, 0.000000, 0.000000, 0.000000], [0.432293, -0.327924, -0.124520, 0.692143, -0.343708, 0.304771, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.499350, 20.230757, 21.197428, 23.408809, 66.319626], [22.335796, 22.839380, 24.176626, 24.773835, 103.454207], [25.217140, 26.753286, 30.341540, 34.175933, 129.735110], [10.606312, 11.550806, 12.359446, 12.955112, 13.324515], [23.032387, 25.162575, 25.491911, 28.379881, 154.534464], [18.140163, 18.515280, 21.663287, 23.404591, 55.642934]]
### 2
mean: [0.887279, -0.749948, 1.226998, -0.772403, 1.236074, 1.028960]
std: [1.540867, 0.551085, 1.584409, 0.219207, 1.402812, 1.854255]
pca: [[-0.400148, 0.644592, 0.416274, -0.067681, 0.486253, -0.100382, 0.000000, 0.000000, 0.000000, 0.000000], [-0.017832, -0.232855, -0.422576, 0.359577, 0.596150, -0.531225, 0.000000, 0.000000, 0.000000, 0.000000], [0.480460, -0.417128, 0.685707, -0.091900, 0.335136, -0.064858, 0.000000, 0.000000, 0.000000, 0.000000], [-0.049857, -0.088927, -0.052435, 0.473818, 0.352593, 0.798769, 0.000000, 0.000000, 0.000000, 0.000000], [0.449762, 0.432655, 0.161168, 0.682606, -0.285990, -0.191850, 0.000000, 0.000000, 0.000000, 0.000000], [0.635570, 0.401479, -0.386299, -0.408929, 0.299559, 0.169348, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.896432, 25.029525, 27.111765, 27.582493, 79.855127], [8.433603, 9.461302, 10.094609, 11.501537, 67.495296], [23.920167, 24.299469, 26.109183, 27.171636, 110.429869], [3.050490, 3.301941, 3.476494, 4.199445, 69.516314], [20.386502, 20.438721, 21.849669, 22.659281, 111.246701], [25.906389, 27.485306, 28.140348, 31.181196, 92.606441]]
### 4
mean: [-0.131407, -0.399613, 1.191059, 1.226555, 1.839378, 0.576768]
std: [0.738158, 0.764690, 1.698889, 1.413492, 2.029813, 1.483290]
pca: [[-0.177939, -0.369207, 0.009644, 0.409268, 0.164783, 0.798296, 0.000000, 0.000000, 0.000000, 0.000000], [-0.230498, -0.049562, 0.301718, -0.380541, 0.839886, -0.056218, 0.000000, 0.000000, 0.000000, 0.000000], [0.496096, -0.401183, 0.360216, 0.524087, 0.194546, -0.388163, 0.000000, 0.000000, 0.000000, 0.000000], [0.360177, 0.621957, -0.407217, 0.333672, 0.440439, 0.110873, 0.000000, 0.000000, 0.000000, 0.000000], [0.598628, -0.427505, -0.409080, -0.502754, 0.070532, 0.183848, 0.000000, 0.000000, 0.000000, 0.000000], [0.425457, 0.361511, 0.667792, -0.221184, -0.175009, 0.403484, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.634884, 11.826664, 12.262839, 12.694506, 13.438285], [11.050822, 11.240322, 12.295512, 14.304507, 35.965205], [24.450319, 24.854681, 25.407456, 27.672944, 107.195290], [22.786937, 23.151588, 23.623096, 25.722622, 110.389951], [29.679900, 30.309838, 31.086560, 35.579766, 165.544086], [23.634177, 24.401234, 26.104851, 27.228199, 51.909110]]
### 6
mean: [2.901892, -0.675954, -0.970794, -0.567069, 0.989259, 1.676463]
std: [2.872417, 1.025334, 1.328283, 0.888797, 1.049879, 1.828403]
pca: [[0.739084, -0.188916, -0.349828, -0.281936, 0.446835, 0.128597, 0.000000, 0.000000, 0.000000, 0.000000], [-0.255297, -0.232461, 0.374944, 0.016957, 0.749639, -0.421849, 0.000000, 0.000000, 0.000000, 0.000000], [-0.304969, 0.543545, 0.031699, -0.302342, 0.394835, 0.602696, 0.000000, 0.000000, 0.000000, 0.000000], [-0.213410, -0.277494, -0.429240, 0.709515, 0.243284, 0.361396, 0.000000, 0.000000, 0.000000, 0.000000], [0.173396, 0.721462, -0.284913, 0.350174, 0.151879, -0.471764, 0.000000, 0.000000, 0.000000, 0.000000], [0.469002, 0.131608, 0.686010, 0.450312, 0.015199, 0.298488, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.643503, 41.697288, 45.296473, 50.888172, 261.170301], [15.471649, 16.774060, 16.810600, 18.774061, 60.835876], [19.435492, 19.565097, 20.343705, 21.338210, 87.371438], [14.622417, 15.009646, 15.543687, 15.772662, 51.036171], [16.872517, 16.908767, 17.279354, 19.748937, 89.033336], [25.639583, 26.452881, 31.111647, 33.100586, 150.881666]]
### 8
mean: [2.722195, 2.825377, -0.522295, 1.941720, -0.033380, -1.041235]
std: [2.517765, 2.660801, 0.928256, 2.044657, 0.129597, 0.874049]
pca: [[0.577715, 0.216780, 0.240884, 0.674425, -0.301641, -0.124056, 0.000000, 0.000000, 0.000000, 0.000000], [0.611092, 0.125016, -0.028472, -0.190367, 0.732683, 0.192518, 0.000000, 0.000000, 0.000000, 0.000000], [-0.189380, 0.810574, -0.152530, -0.003711, -0.123423, 0.518260, 0.000000, 0.000000, 0.000000, 0.000000], [0.468358, -0.279688, -0.400472, -0.344808, -0.542411, 0.359077, 0.000000, 0.000000, 0.000000, 0.000000], [0.009983, -0.117231, 0.857953, -0.260412, -0.129532, 0.406794, 0.000000, 0.000000, 0.000000, 0.000000], [-0.193622, -0.434027, -0.146418, 0.567618, 0.214398, 0.620110, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.923731, 36.682577, 42.384858, 46.351019, 244.997562], [36.639812, 37.837683, 44.883035, 48.923974, 254.283985], [13.573089, 13.600917, 13.802596, 14.760695, 47.006515], [27.235349, 28.994924, 33.751725, 37.100193, 174.754820], [1.906046, 1.972854, 2.210432, 2.356066, 3.004232], [13.560385, 14.479478, 15.155924, 15.948874, 93.711160]]
### 10
mean: [-1.068864, 4.123141, -2.632940, -0.380031, 2.695029, -0.265435]
std: [0.301714, 3.842791, 2.439140, 0.446274, 2.321042, 0.127045]
pca: [[-0.056835, 0.160356, 0.526602, -0.474714, 0.681703, 0.060613, 0.000000, 0.000000, 0.000000, 0.000000], [0.748407, 0.235322, 0.188657, -0.111274, -0.166776, -0.555629, 0.000000, 0.000000, 0.000000, 0.000000], [-0.474755, 0.038413, 0.683926, 0.223216, -0.393254, -0.317652, 0.000000, 0.000000, 0.000000, 0.000000], [-0.083047, 0.740760, -0.049807, -0.348412, -0.419155, 0.380546, 0.000000, 0.000000, 0.000000, 0.000000], [0.451857, -0.210604, 0.464302, 0.272982, -0.140446, 0.664569, 0.000000, 0.000000, 0.000000, 0.000000], [0.013897, 0.569522, -0.035877, 0.718700, 0.396739, -0.015273, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.202279, 4.913694, 5.474087, 5.850534, 96.197786], [52.689508, 54.007109, 63.731606, 70.327135, 371.082710], [33.103970, 34.245971, 41.117374, 45.274661, 236.964586], [6.613753, 7.618101, 7.859349, 8.259654, 34.202753], [31.631272, 33.513614, 38.658688, 42.413501, 242.552659], [1.912024, 1.963674, 2.083118, 2.744538, 23.889155]]
### 12
mean: [-2.450498]
std: [2.551640]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.533847, 36.320626, 42.445380, 46.782105, 220.544847]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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],
[
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[
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[
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0.123734,
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],
[
-0.055936,
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],
[
-0.321809,
-0.012036,
0.388381,
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-0.308893
]
],
"network.0.bias": [
-0.171871,
-0.00607,
-0.231379,
-0.40733,
-0.068379,
-0.293789
],
"network.2.weight": [
[
-0.380924,
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-0.442061,
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-0.412094
],
[
0.112597,
-0.000351,
-0.327618,
0.188796,
-0.282093,
0.108717
],
[
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-0.406792,
-0.427536,
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0.387907
],
[
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],
[
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],
[
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-0.074919,
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]
],
"network.2.bias": [
0.137035,
-0.019432,
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-0.538737,
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0.009417
],
"network.4.weight": [
[
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-0.292553,
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[
0.098163,
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[
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],
[
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],
[
0.013693,
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0.448649,
0.019172,
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0.714501
],
[
-0.627561,
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0.131309,
0.301198
]
],
"network.4.bias": [
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0.072582,
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],
"network.6.weight": [
[
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[
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[
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0.024335
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[
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[
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0.065206,
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[
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0.476405,
0.36919,
0.003223,
0.529837
]
],
"network.6.bias": [
0.319362,
0.319395,
-0.112465,
0.195776,
0.144007,
0.220537
],
"network.8.weight": [
[
0.651793,
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0.080378,
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0.473712,
0.137366
],
[
0.485528,
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0.259906,
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0.334142,
0.539349
],
[
-0.247703,
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],
[
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[
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],
[
0.056409,
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-0.43676
]
],
"network.8.bias": [
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0.026789,
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-0.188006
],
"network.10.weight": [
[
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0.605616
],
[
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0.020676,
0.354523,
0.097066,
-0.136082
],
[
-0.066637,
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-0.190545,
0.524095,
0.601457
],
[
-0.330498,
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0.170365
],
[
0.592088,
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],
[
-0.053329,
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0.043956,
-0.310714
]
],
"network.10.bias": [
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0.219868,
-0.246823
],
"network.12.weight": [
[
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-0.054347,
0.163863,
-0.219914,
0.380644
]
],
"network.12.bias": [
0.342449
]
}
## Activation Signature
### 0
mean: [0.736885, 1.149491, 1.441501, 0.098273, 1.717050, 0.618255]
std: [1.368302, 1.361961, 1.640490, 0.803873, 1.487198, 1.281888]
pca: [[0.508212, -0.264125, 0.005294, -0.681642, -0.087129, 0.446882, 0.000000, 0.000000, 0.000000, 0.000000], [0.104323, 0.778492, 0.095575, 0.137597, 0.143664, 0.578238, 0.000000, 0.000000, 0.000000, 0.000000], [0.610004, 0.421753, -0.304061, -0.064979, -0.162794, -0.571701, 0.000000, 0.000000, 0.000000, 0.000000], [0.300827, -0.196570, -0.129055, 0.161758, 0.909380, -0.032726, 0.000000, 0.000000, 0.000000, 0.000000], [0.285233, -0.011785, 0.930711, 0.083550, 0.012671, -0.212457, 0.000000, 0.000000, 0.000000, 0.000000], [0.432293, -0.327924, -0.124520, 0.692143, -0.343708, 0.304771, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.499350, 20.230757, 21.197428, 23.408809, 66.319626], [22.335796, 22.839380, 24.176626, 24.773835, 103.454207], [25.217140, 26.753286, 30.341540, 34.175933, 129.735110], [10.606312, 11.550806, 12.359446, 12.955112, 13.324515], [23.032387, 25.162575, 25.491911, 28.379881, 154.534464], [18.140163, 18.515280, 21.663287, 23.404591, 55.642934]]
### 2
mean: [0.887279, -0.749948, 1.226998, -0.772403, 1.236074, 1.028960]
std: [1.540867, 0.551085, 1.584409, 0.219207, 1.402812, 1.854255]
pca: [[-0.400148, 0.644592, 0.416274, -0.067681, 0.486253, -0.100382, 0.000000, 0.000000, 0.000000, 0.000000], [-0.017832, -0.232855, -0.422576, 0.359577, 0.596150, -0.531225, 0.000000, 0.000000, 0.000000, 0.000000], [0.480460, -0.417128, 0.685707, -0.091900, 0.335136, -0.064858, 0.000000, 0.000000, 0.000000, 0.000000], [-0.049857, -0.088927, -0.052435, 0.473818, 0.352593, 0.798769, 0.000000, 0.000000, 0.000000, 0.000000], [0.449762, 0.432655, 0.161168, 0.682606, -0.285990, -0.191850, 0.000000, 0.000000, 0.000000, 0.000000], [0.635570, 0.401479, -0.386299, -0.408929, 0.299559, 0.169348, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.896432, 25.029525, 27.111765, 27.582493, 79.855127], [8.433603, 9.461302, 10.094609, 11.501537, 67.495296], [23.920167, 24.299469, 26.109183, 27.171636, 110.429869], [3.050490, 3.301941, 3.476494, 4.199445, 69.516314], [20.386502, 20.438721, 21.849669, 22.659281, 111.246701], [25.906389, 27.485306, 28.140348, 31.181196, 92.606441]]
### 4
mean: [-0.131407, -0.399613, 1.191059, 1.226555, 1.839378, 0.576768]
std: [0.738158, 0.764690, 1.698889, 1.413492, 2.029813, 1.483290]
pca: [[-0.177939, -0.369207, 0.009644, 0.409268, 0.164783, 0.798296, 0.000000, 0.000000, 0.000000, 0.000000], [-0.230498, -0.049562, 0.301718, -0.380541, 0.839886, -0.056218, 0.000000, 0.000000, 0.000000, 0.000000], [0.496096, -0.401183, 0.360216, 0.524087, 0.194546, -0.388163, 0.000000, 0.000000, 0.000000, 0.000000], [0.360177, 0.621957, -0.407217, 0.333672, 0.440439, 0.110873, 0.000000, 0.000000, 0.000000, 0.000000], [0.598628, -0.427505, -0.409080, -0.502754, 0.070532, 0.183848, 0.000000, 0.000000, 0.000000, 0.000000], [0.425457, 0.361511, 0.667792, -0.221184, -0.175009, 0.403484, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.634884, 11.826664, 12.262839, 12.694506, 13.438285], [11.050822, 11.240322, 12.295512, 14.304507, 35.965205], [24.450319, 24.854681, 25.407456, 27.672944, 107.195290], [22.786937, 23.151588, 23.623096, 25.722622, 110.389951], [29.679900, 30.309838, 31.086560, 35.579766, 165.544086], [23.634177, 24.401234, 26.104851, 27.228199, 51.909110]]
### 6
mean: [2.901892, -0.675954, -0.970794, -0.567069, 0.989259, 1.676463]
std: [2.872417, 1.025334, 1.328283, 0.888797, 1.049879, 1.828403]
pca: [[0.739084, -0.188916, -0.349828, -0.281936, 0.446835, 0.128597, 0.000000, 0.000000, 0.000000, 0.000000], [-0.255297, -0.232461, 0.374944, 0.016957, 0.749639, -0.421849, 0.000000, 0.000000, 0.000000, 0.000000], [-0.304969, 0.543545, 0.031699, -0.302342, 0.394835, 0.602696, 0.000000, 0.000000, 0.000000, 0.000000], [-0.213410, -0.277494, -0.429240, 0.709515, 0.243284, 0.361396, 0.000000, 0.000000, 0.000000, 0.000000], [0.173396, 0.721462, -0.284913, 0.350174, 0.151879, -0.471764, 0.000000, 0.000000, 0.000000, 0.000000], [0.469002, 0.131608, 0.686010, 0.450312, 0.015199, 0.298488, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.643503, 41.697288, 45.296473, 50.888172, 261.170301], [15.471649, 16.774060, 16.810600, 18.774061, 60.835876], [19.435492, 19.565097, 20.343705, 21.338210, 87.371438], [14.622417, 15.009646, 15.543687, 15.772662, 51.036171], [16.872517, 16.908767, 17.279354, 19.748937, 89.033336], [25.639583, 26.452881, 31.111647, 33.100586, 150.881666]]
### 8
mean: [2.722195, 2.825377, -0.522295, 1.941720, -0.033380, -1.041235]
std: [2.517765, 2.660801, 0.928256, 2.044657, 0.129597, 0.874049]
pca: [[0.577715, 0.216780, 0.240884, 0.674425, -0.301641, -0.124056, 0.000000, 0.000000, 0.000000, 0.000000], [0.611092, 0.125016, -0.028472, -0.190367, 0.732683, 0.192518, 0.000000, 0.000000, 0.000000, 0.000000], [-0.189380, 0.810574, -0.152530, -0.003711, -0.123423, 0.518260, 0.000000, 0.000000, 0.000000, 0.000000], [0.468358, -0.279688, -0.400472, -0.344808, -0.542411, 0.359077, 0.000000, 0.000000, 0.000000, 0.000000], [0.009983, -0.117231, 0.857953, -0.260412, -0.129532, 0.406794, 0.000000, 0.000000, 0.000000, 0.000000], [-0.193622, -0.434027, -0.146418, 0.567618, 0.214398, 0.620110, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.923731, 36.682577, 42.384858, 46.351019, 244.997562], [36.639812, 37.837683, 44.883035, 48.923974, 254.283985], [13.573089, 13.600917, 13.802596, 14.760695, 47.006515], [27.235349, 28.994924, 33.751725, 37.100193, 174.754820], [1.906046, 1.972854, 2.210432, 2.356066, 3.004232], [13.560385, 14.479478, 15.155924, 15.948874, 93.711160]]
### 10
mean: [-1.068864, 4.123141, -2.632940, -0.380031, 2.695029, -0.265435]
std: [0.301714, 3.842791, 2.439140, 0.446274, 2.321042, 0.127045]
pca: [[-0.056835, 0.160356, 0.526602, -0.474714, 0.681703, 0.060613, 0.000000, 0.000000, 0.000000, 0.000000], [0.748407, 0.235322, 0.188657, -0.111274, -0.166776, -0.555629, 0.000000, 0.000000, 0.000000, 0.000000], [-0.474755, 0.038413, 0.683926, 0.223216, -0.393254, -0.317652, 0.000000, 0.000000, 0.000000, 0.000000], [-0.083047, 0.740760, -0.049807, -0.348412, -0.419155, 0.380546, 0.000000, 0.000000, 0.000000, 0.000000], [0.451857, -0.210604, 0.464302, 0.272982, -0.140446, 0.664569, 0.000000, 0.000000, 0.000000, 0.000000], [0.013897, 0.569522, -0.035877, 0.718700, 0.396739, -0.015273, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.202279, 4.913694, 5.474087, 5.850534, 96.197786], [52.689508, 54.007109, 63.731606, 70.327135, 371.082710], [33.103970, 34.245971, 41.117374, 45.274661, 236.964586], [6.613753, 7.618101, 7.859349, 8.259654, 34.202753], [31.631272, 33.513614, 38.658688, 42.413501, 242.552659], [1.912024, 1.963674, 2.083118, 2.744538, 23.889155]]
### 12
mean: [-2.450498]
std: [2.551640]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.533847, 36.320626, 42.445380, 46.782105, 220.544847]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 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": [[-0.318381, 0.160428, -0.100146, 0.499293, 0.122527], [0.630217, 0.116625, -0.039363, 0.128596, -0.02819], [0.248952, 0.283378, -0.058839, 0.615567, -0.284147], [-0.195074, 0.020666, 0.123734, 0.305311, -0.164177], [-0.055936, -0.128126, 0.378625, 0.301554, 0.527789], [-0.321809, -0.012036, 0.388381, 0.421616, -0.308893]], "network.0.bias": [-0.171871, -0.00607, -0.231379, -0.40733, -0.068379, -0.293789], "network.2.weight": [[-0.380924, 0.611816, 0.531636, -0.442061, 0.035289, -0.412094], [0.112597, -0.000351, -0.327618, 0.188796, -0.282093, 0.108717], [0.563214, -0.406792, -0.427536, -0.082807, 0.593481, 0.387907], [0.076724, 0.165305, -0.261353, 0.10894, -0.094803, 0.054804], [0.693056, 0.107158, 0.05233, 0.180351, 0.068825, 0.554308], [0.655726, -0.483788, 0.436183, 0.476385, -0.074919, 0.416953]], "network.2.bias": [0.137035, -0.019432, 0.543902, -0.538737, -0.148865, 0.009417], "network.4.weight": [[0.314869, 0.012804, -0.292553, -0.401577, 0.108993, -0.091128], [0.098163, -0.563284, -0.307742, -0.129161, -0.087085, -0.176404], [-0.162057, -0.250776, 0.027471, 0.313936, 0.541891, 0.504089], [-0.508277, 0.026712, 0.64751, -0.262054, -0.005747, 0.054511], [0.013693, 0.252456, 0.448649, 0.019172, 0.368618, 0.714501], [-0.627561, -0.346824, 0.18055, -0.306085, 0.131309, 0.301198]], "network.4.bias": [-0.097578, 0.15989, 0.072582, 0.695616, -0.044173, 0.287818], "network.6.weight": [[-0.124027, -0.319133, 0.60434, 0.422163, 0.454181, 0.564062], [0.278226, 0.012611, 0.340429, -0.278727, -0.358408, -0.490522], [0.061433, -0.254701, -0.340904, 0.330568, -0.504959, 0.024335], [0.224982, 0.239185, -0.339692, -0.424851, 0.375112, -0.569236], [-0.414931, -0.41558, -0.485489, 0.725402, 0.065206, 0.467015], [-0.612448, -0.321168, 0.476405, 0.36919, 0.003223, 0.529837]], "network.6.bias": [0.319362, 0.319395, -0.112465, 0.195776, 0.144007, 0.220537], "network.8.weight": [[0.651793, -0.368836, 0.080378, -0.400415, 0.473712, 0.137366], [0.485528, -0.496809, 0.259906, -0.359218, 0.334142, 0.539349], [-0.247703, -0.374349, 0.331507, -0.122754, 0.343366, -0.229773], [0.428329, -0.331732, -0.104654, -0.333035, -0.00011, 0.414153], [-0.207422, 0.461016, -0.095323, 0.294444, -0.015828, 0.429152], [0.056409, 0.239674, -0.218743, 0.17906, -0.290066, -0.43676]], "network.8.bias": [0.180647, 0.21743, 0.264073, 0.026789, -0.184566, -0.188006], "network.10.weight": [[-0.138307, 0.082734, -0.153951, -0.088795, 0.506423, 0.605616], [0.681764, 0.532667, 0.020676, 0.354523, 0.097066, -0.136082], [-0.066637, -0.724, -0.463799, -0.190545, 0.524095, 0.601457], [-0.330498, -0.204498, 0.221225, 0.473664, 0.118629, 0.170365], [0.592088, 0.380189, -0.328162, -0.094426, -0.045026, 0.247619], [-0.053329, -0.25903, -0.236841, 0.434023, 0.043956, -0.310714]], "network.10.bias": [-0.7104, 0.081768, 0.00495, 0.187729, 0.219868, -0.246823], "network.12.weight": [[0.10795, -0.524925, -0.054347, 0.163863, -0.219914, 0.380644]], "network.12.bias": [0.342449]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7215425372123718, "train_acc": 0.42, "val_loss": 0.6922522783279419, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.694550484418869, "train_acc": 0.495, "val_loss": 0.6783410906791687, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6614077985286713, "train_acc": 0.58, "val_loss": 0.6550167798995972, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6165999174118042, "train_acc": 0.5, "val_loss": 0.5512115955352783, "val_acc": 0.5}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.502095952630043, "train_acc": 0.595, "val_loss": 0.4454815685749054, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.38745957612991333, "train_acc": 0.89, "val_loss": 0.38480567932128906, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3367805778980255, "train_acc": 0.94, "val_loss": 0.34693682193756104, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.2911474332213402, "train_acc": 0.945, "val_loss": 0.3290027379989624, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2932807356119156, "train_acc": 0.935, "val_loss": 0.3109549880027771, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2753843665122986, "train_acc": 0.93, "val_loss": 0.3168988525867462, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2605544775724411, "train_acc": 0.92, "val_loss": 0.27958622574806213, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2340281903743744, "train_acc": 0.925, "val_loss": 0.2695111036300659, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.22017141431570053, "train_acc": 0.925, "val_loss": 0.2724471092224121, "val_acc": 0.9}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6922522783279419, "final_val_loss": 0.6550167798995972, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5512115955352783, "final_val_loss": 0.2724471092224121, "initial_val_acc": 0.5, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 5}, "improvement": 0.4, "first_improvement_epoch": 2}}
|
9,798
|
{"target_pattern": "alternating", "degraded_accuracy": 0.46, "improved_accuracy": 0.98, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5951, "learning_rate": 0.04550351380679485, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
[
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[
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-0.718757
],
[
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0.16975,
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0.07761
],
[
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0.443297,
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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.4.weight": [
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"network.6.weight": [
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[
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"network.8.weight": [
[
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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [0.320411, -0.350803, -2.328429, -0.445883, -0.387304, 1.240851, 0.702515]
std: [2.421539, 1.915978, 3.967380, 1.205216, 1.807537, 1.348143, 2.047247]
pca: [[-0.310138, 0.651072, -0.129998, -0.243477, 0.617909, -0.013628, 0.147450, 0.000000, 0.000000, 0.000000], [0.402415, -0.005805, -0.096595, -0.198646, 0.196882, 0.816045, -0.290767, 0.000000, 0.000000, 0.000000], [0.797446, 0.452142, 0.021047, 0.232772, 0.006481, -0.322898, 0.026771, 0.000000, 0.000000, 0.000000], [-0.145909, -0.114193, 0.037200, 0.696373, 0.452650, -0.049967, -0.521500, 0.000000, 0.000000, 0.000000], [0.225450, -0.473572, 0.239248, 0.061316, 0.541783, 0.014770, 0.608404, 0.000000, 0.000000, 0.000000], [0.135153, -0.217196, 0.333749, -0.588163, 0.245361, -0.409097, -0.499673, 0.000000, 0.000000, 0.000000], [-0.124791, 0.295220, 0.896279, 0.111556, -0.144084, 0.244021, 0.034726, 0.000000, 0.000000, 0.000000]]
fourier: [[35.123592, 37.592298, 39.784165, 43.811331, 45.171430], [30.055906, 31.402988, 31.572230, 36.853847, 40.457165], [65.731168, 73.990306, 79.207251, 81.621621, 209.558594], [20.378266, 20.895566, 22.217930, 22.348115, 40.129431], [28.663226, 28.934820, 30.872975, 31.592747, 34.857314], [20.085932, 20.152491, 20.152882, 20.517000, 111.676611], [30.355797, 31.555548, 34.473783, 37.704404, 63.226324]]
### 2
mean: [0.717018, -1.455426, -0.532278, 1.080355, -1.538142, -0.216871, 2.308108]
std: [0.940700, 0.992960, 0.864450, 1.380446, 0.896135, 1.585382, 1.724900]
pca: [[0.285999, -0.244738, -0.410369, 0.145254, 0.790466, -0.194219, -0.079058, 0.000000, 0.000000, 0.000000], [-0.144108, -0.570144, -0.269199, 0.663466, -0.348444, 0.131254, 0.053600, 0.000000, 0.000000, 0.000000], [-0.276981, 0.148594, 0.380973, 0.341548, 0.382570, 0.575921, -0.401698, 0.000000, 0.000000, 0.000000], [0.463832, 0.094322, 0.578442, 0.485806, -0.039283, -0.451393, -0.007853, 0.000000, 0.000000, 0.000000], [-0.241065, -0.341075, 0.411911, -0.092520, 0.303831, 0.069951, 0.741699, 0.000000, 0.000000, 0.000000], [-0.450249, 0.612408, -0.274768, 0.398412, 0.101871, -0.272466, 0.321541, 0.000000, 0.000000, 0.000000], [0.587148, 0.304446, -0.185000, 0.136967, -0.056188, 0.574874, 0.419461, 0.000000, 0.000000, 0.000000]]
fourier: [[14.451482, 15.282241, 17.117860, 18.031130, 64.531658], [14.893919, 16.332613, 16.920852, 18.626949, 130.988305], [11.701560, 14.034236, 17.614453, 18.055574, 47.905030], [20.488692, 21.305203, 26.353302, 27.685832, 97.231960], [13.769784, 15.916672, 16.114627, 18.947869, 138.432765], [21.386576, 25.874396, 25.954143, 26.895189, 27.057688], [24.161848, 26.805112, 32.321424, 33.238404, 207.729760]]
### 4
mean: [1.108893, 1.367055, 1.536009, 0.433331, 1.441070, 1.617263, 1.809155]
std: [1.521397, 1.718212, 0.533158, 0.974143, 1.673105, 1.843213, 2.169060]
pca: [[0.372675, 0.032335, 0.242374, -0.254105, 0.762976, -0.377761, -0.109166, 0.000000, 0.000000, 0.000000], [0.420903, -0.041637, -0.255645, -0.432125, -0.049557, 0.577679, -0.482547, 0.000000, 0.000000, 0.000000], [0.070220, 0.529433, -0.304186, 0.595659, 0.399868, 0.327887, -0.005237, 0.000000, 0.000000, 0.000000], [-0.177911, 0.777775, 0.394370, -0.414095, -0.155196, 0.090664, 0.064077, 0.000000, 0.000000, 0.000000], [0.404442, -0.138901, 0.742730, 0.392877, -0.151044, 0.297035, -0.009444, 0.000000, 0.000000, 0.000000], [0.452085, 0.004269, -0.192667, -0.196207, -0.038753, 0.134616, 0.836875, 0.000000, 0.000000, 0.000000], [0.528599, 0.304427, -0.197676, 0.171942, -0.455099, -0.549093, -0.225052, 0.000000, 0.000000, 0.000000]]
fourier: [[20.950614, 26.169588, 27.498594, 28.752803, 99.800345], [20.668841, 31.194885, 31.300567, 31.498992, 123.034912], [8.512614, 8.642990, 9.372139, 12.310502, 138.240807], [14.273819, 14.621433, 15.404734, 15.986892, 38.999829], [25.734874, 27.641301, 27.734011, 32.343375, 129.696277], [22.443190, 33.551164, 33.668509, 33.669362, 145.553654], [27.337470, 39.392240, 39.498139, 40.813930, 162.823926]]
### 6
mean: [2.239623, 4.347748, -0.523607, 0.025350, -0.685398, -0.883363, -4.096437]
std: [3.020673, 4.658939, 1.821320, 1.863228, 2.052421, 1.802098, 5.209209]
pca: [[-0.358045, -0.012513, 0.084462, 0.584364, -0.235264, 0.623075, -0.281887, 0.000000, 0.000000, 0.000000], [-0.550405, 0.351722, 0.622917, -0.310057, 0.213425, 0.067199, 0.197788, 0.000000, 0.000000, 0.000000], [0.210615, 0.400079, -0.204892, 0.083807, 0.780457, 0.248405, -0.275239, 0.000000, 0.000000, 0.000000], [0.211344, 0.545271, -0.026793, -0.420249, -0.502542, 0.132856, -0.458789, 0.000000, 0.000000, 0.000000], [0.235513, 0.514089, 0.264475, 0.611903, -0.127830, -0.441960, 0.155577, 0.000000, 0.000000, 0.000000], [0.211418, 0.253496, -0.230338, -0.054245, -0.134611, 0.498841, 0.753712, 0.000000, 0.000000, 0.000000], [0.616173, -0.300340, 0.662677, -0.037172, 0.054584, 0.289372, -0.053754, 0.000000, 0.000000, 0.000000]]
fourier: [[38.170437, 51.881322, 53.325201, 57.493682, 201.566073], [59.832139, 81.684205, 82.345453, 89.038519, 391.297327], [23.449460, 28.134773, 32.057004, 34.882722, 47.124603], [24.483960, 25.438848, 27.415368, 32.817928, 34.674328], [28.108849, 30.327842, 36.519190, 38.426317, 61.685820], [22.587825, 29.270692, 31.695308, 34.791607, 79.502679], [67.395607, 89.774523, 92.918042, 97.472780, 368.679393]]
### 8
mean: [-2.121928]
std: [4.485197]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[58.146210, 72.355895, 78.814330, 81.995288, 190.973530]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.491282,
0.335309,
0.538481,
-0.261393,
-0.946491
],
[
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-0.632666,
0.465074,
-0.0673
],
[
-1.104924,
0.337697,
-1.004632,
0.498495,
-0.718757
],
[
0.156056,
-0.439064,
0.16975,
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0.07761
],
[
-0.288371,
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0.443297,
0.521676
],
[
-0.255786,
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0.249381
],
[
-0.588193,
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1.035435,
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]
],
"network.0.bias": [
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0.347266,
0.373522,
-0.229033,
0.06088,
-0.055992
],
"network.2.weight": [
[
0.45506,
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[
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[
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0.228755,
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0.185293,
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[
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0.511573,
0.400136,
0.531708
],
[
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],
[
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],
[
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0.730274,
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0.747473
]
],
"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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0.579039
],
[
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0.4545,
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0.4975
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[
0.142961,
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0.717284
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],
"network.4.bias": [
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"network.6.weight": [
[
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0.583463
],
[
0.529353,
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0.632076,
0.342189
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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": [
0.090347
]
}
## Activation Signature
### 0
mean: [0.320411, -0.350803, -2.328429, -0.445883, -0.387304, 1.240851, 0.702515]
std: [2.421539, 1.915978, 3.967380, 1.205216, 1.807537, 1.348143, 2.047247]
pca: [[-0.310138, 0.651072, -0.129998, -0.243477, 0.617909, -0.013628, 0.147450, 0.000000, 0.000000, 0.000000], [0.402415, -0.005805, -0.096595, -0.198646, 0.196882, 0.816045, -0.290767, 0.000000, 0.000000, 0.000000], [0.797446, 0.452142, 0.021047, 0.232772, 0.006481, -0.322898, 0.026771, 0.000000, 0.000000, 0.000000], [-0.145909, -0.114193, 0.037200, 0.696373, 0.452650, -0.049967, -0.521500, 0.000000, 0.000000, 0.000000], [0.225450, -0.473572, 0.239248, 0.061316, 0.541783, 0.014770, 0.608404, 0.000000, 0.000000, 0.000000], [0.135153, -0.217196, 0.333749, -0.588163, 0.245361, -0.409097, -0.499673, 0.000000, 0.000000, 0.000000], [-0.124791, 0.295220, 0.896279, 0.111556, -0.144084, 0.244021, 0.034726, 0.000000, 0.000000, 0.000000]]
fourier: [[35.123592, 37.592298, 39.784165, 43.811331, 45.171430], [30.055906, 31.402988, 31.572230, 36.853847, 40.457165], [65.731168, 73.990306, 79.207251, 81.621621, 209.558594], [20.378266, 20.895566, 22.217930, 22.348115, 40.129431], [28.663226, 28.934820, 30.872975, 31.592747, 34.857314], [20.085932, 20.152491, 20.152882, 20.517000, 111.676611], [30.355797, 31.555548, 34.473783, 37.704404, 63.226324]]
### 2
mean: [0.717018, -1.455426, -0.532278, 1.080355, -1.538142, -0.216871, 2.308108]
std: [0.940700, 0.992960, 0.864450, 1.380446, 0.896135, 1.585382, 1.724900]
pca: [[0.285999, -0.244738, -0.410369, 0.145254, 0.790466, -0.194219, -0.079058, 0.000000, 0.000000, 0.000000], [-0.144108, -0.570144, -0.269199, 0.663466, -0.348444, 0.131254, 0.053600, 0.000000, 0.000000, 0.000000], [-0.276981, 0.148594, 0.380973, 0.341548, 0.382570, 0.575921, -0.401698, 0.000000, 0.000000, 0.000000], [0.463832, 0.094322, 0.578442, 0.485806, -0.039283, -0.451393, -0.007853, 0.000000, 0.000000, 0.000000], [-0.241065, -0.341075, 0.411911, -0.092520, 0.303831, 0.069951, 0.741699, 0.000000, 0.000000, 0.000000], [-0.450249, 0.612408, -0.274768, 0.398412, 0.101871, -0.272466, 0.321541, 0.000000, 0.000000, 0.000000], [0.587148, 0.304446, -0.185000, 0.136967, -0.056188, 0.574874, 0.419461, 0.000000, 0.000000, 0.000000]]
fourier: [[14.451482, 15.282241, 17.117860, 18.031130, 64.531658], [14.893919, 16.332613, 16.920852, 18.626949, 130.988305], [11.701560, 14.034236, 17.614453, 18.055574, 47.905030], [20.488692, 21.305203, 26.353302, 27.685832, 97.231960], [13.769784, 15.916672, 16.114627, 18.947869, 138.432765], [21.386576, 25.874396, 25.954143, 26.895189, 27.057688], [24.161848, 26.805112, 32.321424, 33.238404, 207.729760]]
### 4
mean: [1.108893, 1.367055, 1.536009, 0.433331, 1.441070, 1.617263, 1.809155]
std: [1.521397, 1.718212, 0.533158, 0.974143, 1.673105, 1.843213, 2.169060]
pca: [[0.372675, 0.032335, 0.242374, -0.254105, 0.762976, -0.377761, -0.109166, 0.000000, 0.000000, 0.000000], [0.420903, -0.041637, -0.255645, -0.432125, -0.049557, 0.577679, -0.482547, 0.000000, 0.000000, 0.000000], [0.070220, 0.529433, -0.304186, 0.595659, 0.399868, 0.327887, -0.005237, 0.000000, 0.000000, 0.000000], [-0.177911, 0.777775, 0.394370, -0.414095, -0.155196, 0.090664, 0.064077, 0.000000, 0.000000, 0.000000], [0.404442, -0.138901, 0.742730, 0.392877, -0.151044, 0.297035, -0.009444, 0.000000, 0.000000, 0.000000], [0.452085, 0.004269, -0.192667, -0.196207, -0.038753, 0.134616, 0.836875, 0.000000, 0.000000, 0.000000], [0.528599, 0.304427, -0.197676, 0.171942, -0.455099, -0.549093, -0.225052, 0.000000, 0.000000, 0.000000]]
fourier: [[20.950614, 26.169588, 27.498594, 28.752803, 99.800345], [20.668841, 31.194885, 31.300567, 31.498992, 123.034912], [8.512614, 8.642990, 9.372139, 12.310502, 138.240807], [14.273819, 14.621433, 15.404734, 15.986892, 38.999829], [25.734874, 27.641301, 27.734011, 32.343375, 129.696277], [22.443190, 33.551164, 33.668509, 33.669362, 145.553654], [27.337470, 39.392240, 39.498139, 40.813930, 162.823926]]
### 6
mean: [2.239623, 4.347748, -0.523607, 0.025350, -0.685398, -0.883363, -4.096437]
std: [3.020673, 4.658939, 1.821320, 1.863228, 2.052421, 1.802098, 5.209209]
pca: [[-0.358045, -0.012513, 0.084462, 0.584364, -0.235264, 0.623075, -0.281887, 0.000000, 0.000000, 0.000000], [-0.550405, 0.351722, 0.622917, -0.310057, 0.213425, 0.067199, 0.197788, 0.000000, 0.000000, 0.000000], [0.210615, 0.400079, -0.204892, 0.083807, 0.780457, 0.248405, -0.275239, 0.000000, 0.000000, 0.000000], [0.211344, 0.545271, -0.026793, -0.420249, -0.502542, 0.132856, -0.458789, 0.000000, 0.000000, 0.000000], [0.235513, 0.514089, 0.264475, 0.611903, -0.127830, -0.441960, 0.155577, 0.000000, 0.000000, 0.000000], [0.211418, 0.253496, -0.230338, -0.054245, -0.134611, 0.498841, 0.753712, 0.000000, 0.000000, 0.000000], [0.616173, -0.300340, 0.662677, -0.037172, 0.054584, 0.289372, -0.053754, 0.000000, 0.000000, 0.000000]]
fourier: [[38.170437, 51.881322, 53.325201, 57.493682, 201.566073], [59.832139, 81.684205, 82.345453, 89.038519, 391.297327], [23.449460, 28.134773, 32.057004, 34.882722, 47.124603], [24.483960, 25.438848, 27.415368, 32.817928, 34.674328], [28.108849, 30.327842, 36.519190, 38.426317, 61.685820], [22.587825, 29.270692, 31.695308, 34.791607, 79.502679], [67.395607, 89.774523, 92.918042, 97.472780, 368.679393]]
### 8
mean: [-2.121928]
std: [4.485197]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[58.146210, 72.355895, 78.814330, 81.995288, 190.973530]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": 0.32041135430336, "std": 2.421539068222046, "pca": [-0.3101382553577423, 0.6510721445083618, -0.12999816238880157, -0.24347682297229767, 0.6179090142250061, -0.01362750492990017, 0.14745035767555237, 0.0, 0.0, 0.0], "fourier": [35.12359212531848, 37.592297851346096, 39.78416534595475, 43.8113310571283, 45.17143002092654]}, "1": {"mean": -0.35080254077911377, "std": 1.915977954864502, "pca": [0.40241503715515137, -0.0058049350045621395, -0.09659475833177567, -0.19864633679389954, 0.19688190519809723, 0.8160452246665955, -0.2907665967941284, 0.0, 0.0, 0.0], "fourier": [30.055905878846573, 31.402987883758488, 31.57223007082939, 36.85384735378341, 40.45716473181652]}, "2": {"mean": -2.3284289836883545, "std": 3.967379570007324, "pca": [0.7974460124969482, 0.45214205980300903, 0.021046848967671394, 0.23277190327644348, 0.0064805783331394196, -0.3228977918624878, 0.0267706960439682, 0.0, 0.0, 0.0], "fourier": [65.73116822477058, 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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.491282, 0.335309, 0.538481, -0.261393, -0.946491], [-0.366568, 0.072682, -0.632666, 0.465074, -0.0673], [-1.104924, 0.337697, -1.004632, 0.498495, -0.718757], [0.156056, -0.439064, 0.16975, -0.309564, 0.07761], [-0.288371, -0.514237, -0.21848, 0.443297, 0.521676], [-0.255786, -0.092551, 0.102007, 0.534534, 0.249381], [-0.588193, 0.008581, 1.035435, -0.104335, -0.376481]], "network.0.bias": [-0.298915, 0.380175, 0.347266, 0.373522, -0.229033, 0.06088, -0.055992], "network.2.weight": [[0.45506, 0.123546, -0.376065, -0.45548, 0.098586, 0.17612, 0.166681], [0.066089, -0.61384, -0.13482, -0.368794, -0.404839, -0.125695, -0.298958], [-0.311665, -0.242446, 0.228755, 0.538265, -0.43488, 0.185293, -0.318714], [0.13216, 0.06813, -0.442703, -0.063766, 0.511573, 0.400136, 0.531708], [-0.158194, -0.427311, -0.166716, 0.203274, -0.214377, -0.083296, -0.443351], [-0.436642, 0.592143, 0.516982, 0.644378, -0.895033, 0.028058, -0.247315], [0.400975, 0.173619, 0.057646, -0.344815, 0.730274, 0.360119, 0.747473]], "network.2.bias": [0.008808, -0.483447, -0.018319, -0.135719, -0.497082, 0.167783, 0.372351], "network.4.weight": [[0.24114, 0.352429, -0.314318, 0.118089, -0.006406, -0.42595, 0.550491], [0.151643, -0.278927, -0.315824, 0.453605, -0.391145, -0.524379, 0.439598], [-0.334624, -0.808974, 0.506241, 0.071013, 0.452879, 0.132552, 0.361687], [-0.474749, -0.670012, -0.045035, -0.474043, -0.417092, 0.719514, 0.382787], [0.612891, -0.165167, -0.314919, -0.022764, -0.147761, -0.472177, 0.579039], [0.198612, -0.183037, -0.246647, 0.4545, -0.299237, -0.534181, 0.4975], [0.142961, -0.411957, -0.09734, 0.524103, -0.403966, -0.434177, 0.717284]], "network.4.bias": [-0.224597, -0.074207, 0.782523, 0.035562, -0.11442, 0.030386, -0.385893], "network.6.weight": [[0.26915, 0.403209, -0.333708, -0.181263, 0.426126, 0.160645, 0.583463], [0.529353, 0.669486, 0.516079, -0.309933, 0.561874, 0.632076, 0.342189], [-0.644739, -0.290986, 0.195412, 0.602308, -0.121231, -0.132288, 0.086312], [0.023828, 0.007533, 0.524462, 0.605568, -0.396808, -0.137764, -0.43136], [-0.385396, -0.084705, 0.353112, 0.661702, -0.624382, 0.46336, -0.483201], [-0.080048, -0.446443, 0.079632, 0.464795, -0.315552, -0.006472, -0.150637], [-0.942717, -0.072224, 0.285903, -0.03495, -1.109152, -0.331859, -0.873954]], "network.6.bias": [-0.159391, -0.472386, 0.389021, 0.630836, 0.199469, 0.333829, 0.687942], "network.8.weight": [[-0.402789, -0.480578, 0.434564, 0.362264, 0.546537, 0.273482, 0.479978]], "network.8.bias": [0.090347]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6806163787841797, "train_acc": 0.58, "val_loss": 0.7221259474754333, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6867110133171082, "train_acc": 0.58, "val_loss": 0.6855005621910095, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5917975604534149, "train_acc": 0.605, "val_loss": 0.45156848430633545, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.3822425305843353, "train_acc": 0.78, "val_loss": 0.23474979400634766, "val_acc": 0.96}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.2227024883031845, "train_acc": 0.935, "val_loss": 0.7493299841880798, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5594475865364075, "train_acc": 0.85, "val_loss": 0.15559564530849457, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.24642224609851837, "train_acc": 0.945, "val_loss": 0.2652513086795807, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4565754532814026, "train_acc": 0.915, "val_loss": 0.17932216823101044, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.29918668419122696, "train_acc": 0.945, "val_loss": 0.08274126052856445, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.18026584014296532, "train_acc": 0.945, "val_loss": 0.05552530661225319, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.11845413222908974, "train_acc": 0.97, "val_loss": 0.05205215513706207, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.08608893677592278, "train_acc": 0.975, "val_loss": 0.05350646376609802, "val_acc": 0.98}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7221259474754333, "final_val_loss": 0.6855005621910095, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.45156848430633545, "final_val_loss": 0.05350646376609802, "initial_val_acc": 0.68, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 9}, "improvement": 0.52, "first_improvement_epoch": 1}}
|
9,799
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.52, "improved_accuracy": 0.94, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3776, "learning_rate": 0.09705056597540912, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: 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: [-3.151065, 2.196914, 4.095018, 3.323880, -2.771518, -6.305139, 2.293339]
std: [2.788382, 1.501515, 4.889974, 4.752659, 3.018070, 3.625794, 3.600638]
pca: [[-0.176981, 0.428696, 0.614999, -0.288719, -0.026438, -0.244543, -0.512654, 0.000000, 0.000000, 0.000000], [0.052252, -0.190442, 0.414903, 0.354450, -0.405887, -0.571609, 0.414417, 0.000000, 0.000000, 0.000000], [0.596830, 0.063406, -0.207908, -0.456084, -0.614698, -0.034452, -0.097439, 0.000000, 0.000000, 0.000000], [0.582384, 0.174058, 0.121313, -0.183253, 0.647567, -0.278096, 0.292495, 0.000000, 0.000000, 0.000000], [0.058272, 0.605333, -0.471818, 0.500640, -0.042513, -0.341028, -0.197017, 0.000000, 0.000000, 0.000000], [-0.327731, 0.566106, -0.011603, -0.288716, -0.155946, 0.180986, 0.656925, 0.000000, 0.000000, 0.000000], [0.399708, 0.242346, 0.411025, 0.464128, -0.105989, 0.621194, 0.005507, 0.000000, 0.000000, 0.000000]]
fourier: [[43.728569, 45.524156, 48.443719, 55.894656, 283.595814], [24.331330, 24.500702, 25.438903, 27.559146, 197.722221], [77.773165, 78.219782, 80.229832, 80.379737, 368.551625], [79.854841, 79.871450, 80.567659, 92.904514, 299.149209], [46.844137, 46.974601, 47.106956, 47.772235, 249.436575], [56.326572, 57.122374, 63.180749, 73.616583, 567.462386], [56.250195, 69.411962, 72.452641, 72.620439, 206.400556]]
### 2
mean: [-5.604704, 1.613798, -12.193666, -4.321330, 5.319880, -2.650295, 5.643478]
std: [5.815205, 1.603783, 12.340853, 5.725682, 5.649436, 2.329338, 8.565770]
pca: [[0.321011, -0.249351, -0.171994, 0.645048, -0.294744, 0.236190, 0.496435, 0.000000, 0.000000, 0.000000], [-0.074394, 0.273277, -0.306887, -0.468905, 0.062430, -0.093927, 0.770074, 0.000000, 0.000000, 0.000000], [0.686195, -0.252654, 0.102852, -0.462199, 0.180307, 0.454619, -0.043666, 0.000000, 0.000000, 0.000000], [0.295273, 0.705509, 0.596662, 0.115469, -0.186984, 0.012863, 0.102978, 0.000000, 0.000000, 0.000000], [-0.312067, 0.250484, -0.022351, 0.251340, 0.609077, 0.634355, 0.053094, 0.000000, 0.000000, 0.000000], [0.116408, -0.306991, 0.423932, 0.171131, 0.607909, -0.481943, 0.285269, 0.000000, 0.000000, 0.000000], [-0.471626, -0.380239, 0.573965, -0.211240, -0.318161, 0.306386, 0.252646, 0.000000, 0.000000, 0.000000]]
fourier: [[99.811402, 105.021908, 109.083712, 112.265102, 504.423430], [25.961177, 28.141373, 29.977883, 33.550948, 145.241815], [205.233664, 215.945396, 226.400214, 230.351093, 1097.430049], [82.837855, 85.371023, 93.764145, 101.365750, 388.919627], [94.104763, 101.085053, 106.964773, 107.149784, 478.789152], [38.265078, 42.005222, 43.140964, 46.630952, 238.526567], [141.151433, 143.727791, 144.713622, 153.128511, 507.912988]]
### 4
mean: [-4.332888, 6.219688, 7.223047, -6.477530, -0.622497, -6.295919, 7.961763]
std: [3.187152, 7.832555, 8.740809, 9.309948, 1.800476, 7.279134, 10.000246]
pca: [[-0.150518, 0.504560, 0.401745, 0.058749, -0.215375, 0.452981, -0.553476, 0.000000, 0.000000, 0.000000], [0.399162, -0.059997, 0.048910, 0.062920, 0.687630, 0.590678, 0.094783, 0.000000, 0.000000, 0.000000], [0.445297, 0.106984, -0.109771, 0.848004, -0.189171, -0.142098, -0.055920, 0.000000, 0.000000, 0.000000], [-0.473469, -0.211882, -0.478531, 0.265492, -0.254452, 0.576008, 0.186878, 0.000000, 0.000000, 0.000000], [0.008360, 0.782673, -0.157198, -0.084300, -0.005871, 0.007012, 0.596198, 0.000000, 0.000000, 0.000000], [-0.369377, -0.155910, 0.712386, 0.348880, 0.087855, -0.036588, 0.448313, 0.000000, 0.000000, 0.000000], [0.508962, -0.220446, 0.250925, -0.272339, -0.610322, 0.304209, 0.300322, 0.000000, 0.000000, 0.000000]]
fourier: [[54.820746, 60.490113, 62.515438, 66.561531, 389.959907], [132.814117, 133.050627, 149.045943, 151.797300, 559.771896], [146.836029, 147.423806, 162.384511, 166.514417, 650.074146], [155.851627, 157.297557, 171.502590, 177.311299, 582.977745], [29.354897, 30.318506, 33.916678, 36.598942, 56.024771], [122.145473, 125.080602, 128.050809, 134.357261, 566.632753], [169.497334, 171.450131, 195.008680, 195.558706, 716.558755]]
### 6
mean: [-12.661434, 0.963685, 11.321902, 1.253418, -14.519489, -13.904389, -5.796792]
std: [14.521396, 0.306299, 14.282742, 2.216620, 17.297405, 17.015911, 6.530808]
pca: [[0.447919, -0.068771, -0.343768, 0.375764, -0.331945, 0.612278, -0.224036, 0.000000, 0.000000, 0.000000], [-0.005869, 0.535131, 0.146667, 0.594339, 0.563470, 0.035623, -0.141712, 0.000000, 0.000000, 0.000000], [-0.440529, -0.460604, 0.114666, -0.009851, 0.412966, 0.621386, 0.154500, 0.000000, 0.000000, 0.000000], [-0.067820, -0.497473, 0.522355, 0.464658, -0.231412, -0.259634, -0.371749, 0.000000, 0.000000, 0.000000], [0.533537, -0.390720, -0.170376, -0.221853, 0.586418, -0.193312, -0.321207, 0.000000, 0.000000, 0.000000], [0.524827, 0.120864, 0.709941, -0.207239, -0.014464, 0.260353, 0.308208, 0.000000, 0.000000, 0.000000], [0.201404, -0.286356, -0.203139, 0.444288, 0.064231, -0.255270, 0.754647, 0.000000, 0.000000, 0.000000]]
fourier: [[246.187831, 246.980280, 274.639154, 281.360448, 1139.529015], [4.950999, 5.039733, 5.752926, 6.294081, 86.731613], [242.943215, 243.001111, 271.727585, 277.846066, 1018.971146], [38.287817, 40.294800, 43.082523, 43.762570, 112.807630], [291.874715, 293.510021, 325.929609, 334.260186, 1306.754081], [286.719658, 288.053451, 322.372196, 329.936536, 1251.394981], [109.994949, 110.919836, 122.802886, 125.895877, 521.711238]]
### 8
mean: [-6.160621, 6.650036, -1.875333, -7.433163, -8.543248, 5.851276, 5.236116]
std: [6.319871, 8.683485, 1.615366, 8.217311, 13.003640, 8.496350, 7.942575]
pca: [[0.285431, 0.541243, 0.048008, -0.042974, 0.609130, 0.216914, -0.450935, 0.000000, 0.000000, 0.000000], [-0.392296, -0.411789, 0.650477, 0.050748, 0.182742, -0.063685, -0.461939, 0.000000, 0.000000, 0.000000], [0.072796, -0.237507, 0.235808, -0.477904, 0.505221, 0.186138, 0.603653, 0.000000, 0.000000, 0.000000], [0.371241, 0.375304, 0.610236, -0.209521, -0.337274, -0.422954, 0.111338, 0.000000, 0.000000, 0.000000], [0.587647, -0.295976, 0.250608, 0.557059, -0.077393, 0.424143, 0.089790, 0.000000, 0.000000, 0.000000], [-0.383908, 0.366555, 0.171372, 0.622999, 0.273948, -0.175289, 0.441567, 0.000000, 0.000000, 0.000000], [-0.358886, 0.343887, 0.233257, -0.157617, -0.381479, 0.724384, 0.058589, 0.000000, 0.000000, 0.000000]]
fourier: [[106.797091, 107.853710, 120.139785, 123.284482, 554.455844], [148.284648, 148.375609, 166.595321, 169.965853, 598.503222], [27.283784, 28.863756, 30.620465, 31.227979, 168.779959], [140.012747, 140.926667, 155.787011, 159.859358, 668.984723], [221.933615, 225.458644, 249.491461, 254.314983, 768.892326], [144.727848, 147.129806, 163.145277, 165.992549, 526.614861], [135.553502, 137.643788, 153.051512, 155.674624, 471.250420]]
### 10
mean: [-18.067709, -1.439685, -2.957515, 7.854990, 6.481805, 9.755518, 10.360695]
std: [26.574823, 1.264402, 4.466051, 11.483938, 9.285412, 13.799247, 15.857607]
pca: [[0.713478, -0.286272, 0.091686, 0.437223, 0.061894, 0.294632, 0.344656, 0.000000, 0.000000, 0.000000], [0.032581, -0.502644, -0.542659, -0.288360, 0.313683, -0.410113, 0.319480, 0.000000, 0.000000, 0.000000], [0.119105, 0.732991, -0.189505, 0.169091, 0.005598, -0.359662, 0.504624, 0.000000, 0.000000, 0.000000], [-0.308305, -0.193860, -0.027056, 0.805317, 0.106827, -0.401606, -0.213071, 0.000000, 0.000000, 0.000000], [-0.249271, 0.202124, -0.236640, 0.116691, 0.736100, 0.534277, 0.009903, 0.000000, 0.000000, 0.000000], [-0.370484, -0.115341, -0.465736, 0.180049, -0.574368, 0.410603, 0.318773, 0.000000, 0.000000, 0.000000], [-0.425739, -0.190741, 0.622544, -0.050225, 0.120772, -0.017548, 0.614317, 0.000000, 0.000000, 0.000000]]
fourier: [[453.938799, 460.485454, 508.671721, 520.639752, 1626.093840], [22.122355, 25.469692, 26.262068, 27.949711, 129.571623], [75.825465, 80.719811, 83.291047, 84.981448, 266.176390], [195.372905, 201.564950, 218.359467, 224.123333, 706.949174], [158.856536, 159.946899, 178.221787, 182.069118, 583.362473], [235.009452, 240.995492, 262.613637, 269.448415, 877.996624], [270.023708, 278.109633, 301.944676, 310.012894, 932.462477]]
### 12
mean: [-8.560555]
std: [13.617537]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[231.913777, 235.298451, 263.142730, 268.052454, 770.449812]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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-0.831416,
-0.786986
],
[
1.057713,
-0.344727,
0.631609,
-0.154841,
0.817625,
0.552875,
-0.173197
],
[
0.877031,
0.207025,
-0.077613,
-0.269172,
0.584768,
0.695559,
-0.464703
],
[
0.15354,
-0.757111,
-0.446299,
-0.766306,
-0.510665,
-0.529004,
-0.708613
],
[
-0.610551,
0.519096,
-0.710476,
-1.362392,
-0.118979,
-0.387205,
-0.399089
],
[
-0.293676,
-0.99287,
0.549315,
0.412747,
-0.4513,
-0.947924,
-0.082784
],
[
-0.314592,
-0.911358,
0.484769,
0.557545,
0.257927,
-0.073882,
0.118325
]
],
"network.8.bias": [
-1.026323,
0.061888,
-0.77247,
-0.825508,
0.802646,
-0.14331,
-0.229583
],
"network.10.weight": [
[
-0.54878,
-0.886085,
-0.949173,
-0.401128,
0.988946,
-1.272461,
-1.008833
],
[
0.093897,
-0.158247,
-0.543664,
0.067727,
0.526821,
-0.325593,
0.392751
],
[
-0.975334,
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],
[
0.37391,
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[
0.1581,
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[
-0.238128,
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],
[
1.314489,
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]
],
"network.10.bias": [
0.429279,
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0.116132,
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0.042495,
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],
"network.12.weight": [
[
0.690257,
0.20228,
0.109296,
-0.073738,
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],
"network.12.bias": [
0.361344
]
}
## Activation Signature
### 0
mean: [-3.151065, 2.196914, 4.095018, 3.323880, -2.771518, -6.305139, 2.293339]
std: [2.788382, 1.501515, 4.889974, 4.752659, 3.018070, 3.625794, 3.600638]
pca: [[-0.176981, 0.428696, 0.614999, -0.288719, -0.026438, -0.244543, -0.512654, 0.000000, 0.000000, 0.000000], [0.052252, -0.190442, 0.414903, 0.354450, -0.405887, -0.571609, 0.414417, 0.000000, 0.000000, 0.000000], [0.596830, 0.063406, -0.207908, -0.456084, -0.614698, -0.034452, -0.097439, 0.000000, 0.000000, 0.000000], [0.582384, 0.174058, 0.121313, -0.183253, 0.647567, -0.278096, 0.292495, 0.000000, 0.000000, 0.000000], [0.058272, 0.605333, -0.471818, 0.500640, -0.042513, -0.341028, -0.197017, 0.000000, 0.000000, 0.000000], [-0.327731, 0.566106, -0.011603, -0.288716, -0.155946, 0.180986, 0.656925, 0.000000, 0.000000, 0.000000], [0.399708, 0.242346, 0.411025, 0.464128, -0.105989, 0.621194, 0.005507, 0.000000, 0.000000, 0.000000]]
fourier: [[43.728569, 45.524156, 48.443719, 55.894656, 283.595814], [24.331330, 24.500702, 25.438903, 27.559146, 197.722221], [77.773165, 78.219782, 80.229832, 80.379737, 368.551625], [79.854841, 79.871450, 80.567659, 92.904514, 299.149209], [46.844137, 46.974601, 47.106956, 47.772235, 249.436575], [56.326572, 57.122374, 63.180749, 73.616583, 567.462386], [56.250195, 69.411962, 72.452641, 72.620439, 206.400556]]
### 2
mean: [-5.604704, 1.613798, -12.193666, -4.321330, 5.319880, -2.650295, 5.643478]
std: [5.815205, 1.603783, 12.340853, 5.725682, 5.649436, 2.329338, 8.565770]
pca: [[0.321011, -0.249351, -0.171994, 0.645048, -0.294744, 0.236190, 0.496435, 0.000000, 0.000000, 0.000000], [-0.074394, 0.273277, -0.306887, -0.468905, 0.062430, -0.093927, 0.770074, 0.000000, 0.000000, 0.000000], [0.686195, -0.252654, 0.102852, -0.462199, 0.180307, 0.454619, -0.043666, 0.000000, 0.000000, 0.000000], [0.295273, 0.705509, 0.596662, 0.115469, -0.186984, 0.012863, 0.102978, 0.000000, 0.000000, 0.000000], [-0.312067, 0.250484, -0.022351, 0.251340, 0.609077, 0.634355, 0.053094, 0.000000, 0.000000, 0.000000], [0.116408, -0.306991, 0.423932, 0.171131, 0.607909, -0.481943, 0.285269, 0.000000, 0.000000, 0.000000], [-0.471626, -0.380239, 0.573965, -0.211240, -0.318161, 0.306386, 0.252646, 0.000000, 0.000000, 0.000000]]
fourier: [[99.811402, 105.021908, 109.083712, 112.265102, 504.423430], [25.961177, 28.141373, 29.977883, 33.550948, 145.241815], [205.233664, 215.945396, 226.400214, 230.351093, 1097.430049], [82.837855, 85.371023, 93.764145, 101.365750, 388.919627], [94.104763, 101.085053, 106.964773, 107.149784, 478.789152], [38.265078, 42.005222, 43.140964, 46.630952, 238.526567], [141.151433, 143.727791, 144.713622, 153.128511, 507.912988]]
### 4
mean: [-4.332888, 6.219688, 7.223047, -6.477530, -0.622497, -6.295919, 7.961763]
std: [3.187152, 7.832555, 8.740809, 9.309948, 1.800476, 7.279134, 10.000246]
pca: [[-0.150518, 0.504560, 0.401745, 0.058749, -0.215375, 0.452981, -0.553476, 0.000000, 0.000000, 0.000000], [0.399162, -0.059997, 0.048910, 0.062920, 0.687630, 0.590678, 0.094783, 0.000000, 0.000000, 0.000000], [0.445297, 0.106984, -0.109771, 0.848004, -0.189171, -0.142098, -0.055920, 0.000000, 0.000000, 0.000000], [-0.473469, -0.211882, -0.478531, 0.265492, -0.254452, 0.576008, 0.186878, 0.000000, 0.000000, 0.000000], [0.008360, 0.782673, -0.157198, -0.084300, -0.005871, 0.007012, 0.596198, 0.000000, 0.000000, 0.000000], [-0.369377, -0.155910, 0.712386, 0.348880, 0.087855, -0.036588, 0.448313, 0.000000, 0.000000, 0.000000], [0.508962, -0.220446, 0.250925, -0.272339, -0.610322, 0.304209, 0.300322, 0.000000, 0.000000, 0.000000]]
fourier: [[54.820746, 60.490113, 62.515438, 66.561531, 389.959907], [132.814117, 133.050627, 149.045943, 151.797300, 559.771896], [146.836029, 147.423806, 162.384511, 166.514417, 650.074146], [155.851627, 157.297557, 171.502590, 177.311299, 582.977745], [29.354897, 30.318506, 33.916678, 36.598942, 56.024771], [122.145473, 125.080602, 128.050809, 134.357261, 566.632753], [169.497334, 171.450131, 195.008680, 195.558706, 716.558755]]
### 6
mean: [-12.661434, 0.963685, 11.321902, 1.253418, -14.519489, -13.904389, -5.796792]
std: [14.521396, 0.306299, 14.282742, 2.216620, 17.297405, 17.015911, 6.530808]
pca: [[0.447919, -0.068771, -0.343768, 0.375764, -0.331945, 0.612278, -0.224036, 0.000000, 0.000000, 0.000000], [-0.005869, 0.535131, 0.146667, 0.594339, 0.563470, 0.035623, -0.141712, 0.000000, 0.000000, 0.000000], [-0.440529, -0.460604, 0.114666, -0.009851, 0.412966, 0.621386, 0.154500, 0.000000, 0.000000, 0.000000], [-0.067820, -0.497473, 0.522355, 0.464658, -0.231412, -0.259634, -0.371749, 0.000000, 0.000000, 0.000000], [0.533537, -0.390720, -0.170376, -0.221853, 0.586418, -0.193312, -0.321207, 0.000000, 0.000000, 0.000000], [0.524827, 0.120864, 0.709941, -0.207239, -0.014464, 0.260353, 0.308208, 0.000000, 0.000000, 0.000000], [0.201404, -0.286356, -0.203139, 0.444288, 0.064231, -0.255270, 0.754647, 0.000000, 0.000000, 0.000000]]
fourier: [[246.187831, 246.980280, 274.639154, 281.360448, 1139.529015], [4.950999, 5.039733, 5.752926, 6.294081, 86.731613], [242.943215, 243.001111, 271.727585, 277.846066, 1018.971146], [38.287817, 40.294800, 43.082523, 43.762570, 112.807630], [291.874715, 293.510021, 325.929609, 334.260186, 1306.754081], [286.719658, 288.053451, 322.372196, 329.936536, 1251.394981], [109.994949, 110.919836, 122.802886, 125.895877, 521.711238]]
### 8
mean: [-6.160621, 6.650036, -1.875333, -7.433163, -8.543248, 5.851276, 5.236116]
std: [6.319871, 8.683485, 1.615366, 8.217311, 13.003640, 8.496350, 7.942575]
pca: [[0.285431, 0.541243, 0.048008, -0.042974, 0.609130, 0.216914, -0.450935, 0.000000, 0.000000, 0.000000], [-0.392296, -0.411789, 0.650477, 0.050748, 0.182742, -0.063685, -0.461939, 0.000000, 0.000000, 0.000000], [0.072796, -0.237507, 0.235808, -0.477904, 0.505221, 0.186138, 0.603653, 0.000000, 0.000000, 0.000000], [0.371241, 0.375304, 0.610236, -0.209521, -0.337274, -0.422954, 0.111338, 0.000000, 0.000000, 0.000000], [0.587647, -0.295976, 0.250608, 0.557059, -0.077393, 0.424143, 0.089790, 0.000000, 0.000000, 0.000000], [-0.383908, 0.366555, 0.171372, 0.622999, 0.273948, -0.175289, 0.441567, 0.000000, 0.000000, 0.000000], [-0.358886, 0.343887, 0.233257, -0.157617, -0.381479, 0.724384, 0.058589, 0.000000, 0.000000, 0.000000]]
fourier: [[106.797091, 107.853710, 120.139785, 123.284482, 554.455844], [148.284648, 148.375609, 166.595321, 169.965853, 598.503222], [27.283784, 28.863756, 30.620465, 31.227979, 168.779959], [140.012747, 140.926667, 155.787011, 159.859358, 668.984723], [221.933615, 225.458644, 249.491461, 254.314983, 768.892326], [144.727848, 147.129806, 163.145277, 165.992549, 526.614861], [135.553502, 137.643788, 153.051512, 155.674624, 471.250420]]
### 10
mean: [-18.067709, -1.439685, -2.957515, 7.854990, 6.481805, 9.755518, 10.360695]
std: [26.574823, 1.264402, 4.466051, 11.483938, 9.285412, 13.799247, 15.857607]
pca: [[0.713478, -0.286272, 0.091686, 0.437223, 0.061894, 0.294632, 0.344656, 0.000000, 0.000000, 0.000000], [0.032581, -0.502644, -0.542659, -0.288360, 0.313683, -0.410113, 0.319480, 0.000000, 0.000000, 0.000000], [0.119105, 0.732991, -0.189505, 0.169091, 0.005598, -0.359662, 0.504624, 0.000000, 0.000000, 0.000000], [-0.308305, -0.193860, -0.027056, 0.805317, 0.106827, -0.401606, -0.213071, 0.000000, 0.000000, 0.000000], [-0.249271, 0.202124, -0.236640, 0.116691, 0.736100, 0.534277, 0.009903, 0.000000, 0.000000, 0.000000], [-0.370484, -0.115341, -0.465736, 0.180049, -0.574368, 0.410603, 0.318773, 0.000000, 0.000000, 0.000000], [-0.425739, -0.190741, 0.622544, -0.050225, 0.120772, -0.017548, 0.614317, 0.000000, 0.000000, 0.000000]]
fourier: [[453.938799, 460.485454, 508.671721, 520.639752, 1626.093840], [22.122355, 25.469692, 26.262068, 27.949711, 129.571623], [75.825465, 80.719811, 83.291047, 84.981448, 266.176390], [195.372905, 201.564950, 218.359467, 224.123333, 706.949174], [158.856536, 159.946899, 178.221787, 182.069118, 583.362473], [235.009452, 240.995492, 262.613637, 269.448415, 877.996624], [270.023708, 278.109633, 301.944676, 310.012894, 932.462477]]
### 12
mean: [-8.560555]
std: [13.617537]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[231.913777, 235.298451, 263.142730, 268.052454, 770.449812]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: 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": [56.32657249493475, 57.12237444470419, 63.180748704236194, 73.61658319635578, 567.4623855352402]}, "6": {"mean": 2.293339490890503, "std": 3.6006381511688232, "pca": [0.3997076749801636, 0.24234576523303986, 0.4110250174999237, 0.4641281068325043, -0.10598859190940857, 0.6211939454078674, 0.00550682470202446, 0.0, 0.0, 0.0], "fourier": [56.25019536994127, 69.4119621896167, 72.45264085248802, 72.62043881046236, 206.40055629611015]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": -5.6047043800354, "std": 5.815205097198486, "pca": [0.32101142406463623, -0.24935099482536316, -0.1719944179058075, 0.6450478434562683, -0.2947435677051544, 0.23619024455547333, 0.49643462896347046, 0.0, 0.0, 0.0], "fourier": [99.81140226924401, 105.02190790156845, 109.0837117020433, 112.26510177664677, 504.42343029379845]}, "1": {"mean": 1.6137980222702026, "std": 1.603783130645752, "pca": 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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.677518755197525, "train_acc": 0.575, "val_loss": 0.7275102138519287, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6770693957805634, "train_acc": 0.575, "val_loss": 0.6201618313789368, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.7943845391273499, "train_acc": 0.495, "val_loss": 0.49711158871650696, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5863040685653687, "train_acc": 0.755, "val_loss": 0.6706728935241699, "val_acc": 0.54}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6691435873508453, "train_acc": 0.57, "val_loss": 0.6308202147483826, "val_acc": 0.66}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6019070744514465, "train_acc": 0.675, "val_loss": 0.4208644926548004, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4659293442964554, "train_acc": 0.755, "val_loss": 0.40697625279426575, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4396459013223648, "train_acc": 0.8, "val_loss": 0.3699694871902466, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.38816311955451965, "train_acc": 0.815, "val_loss": 0.35993537306785583, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.32477013766765594, "train_acc": 0.85, "val_loss": 0.26777875423431396, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2444697767496109, "train_acc": 0.935, "val_loss": 0.1898203045129776, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.1765621230006218, "train_acc": 0.95, "val_loss": 0.19305166602134705, "val_acc": 0.92}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7275102138519287, "final_val_loss": 0.6201618313789368, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.49711158871650696, "final_val_loss": 0.19305166602134705, "initial_val_acc": 0.84, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 10}, "improvement": 0.41999999999999993, "first_improvement_epoch": 1}}
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